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GB_binop__div_fc64.c |
//------------------------------------------------------------------------------
// GB_binop: hard-coded functions for each built-in binary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated2/ folder, do not edit it
// (it is auto-generated from Generator/*).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_emult.h"
#include "GB_control.h"
#include "GB_ek_slice.h"
#include "GB_dense.h"
#include "GB_atomics.h"
#include "GB_bitmap_assign_methods.h"
#include "GB_binop__include.h"
// C=binop(A,B) is defined by the following types and operators:
// A+B function (eWiseAdd): GB (_AaddB__div_fc64)
// A.*B function (eWiseMult): GB (_AemultB_08__div_fc64)
// A.*B function (eWiseMult): GB (_AemultB_02__div_fc64)
// A.*B function (eWiseMult): GB (_AemultB_04__div_fc64)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__div_fc64)
// A*D function (colscale): GB (_AxD__div_fc64)
// D*A function (rowscale): GB (_DxB__div_fc64)
// C+=B function (dense accum): GB (_Cdense_accumB__div_fc64)
// C+=b function (dense accum): GB (_Cdense_accumb__div_fc64)
// C+=A+B function (dense ewise3): GB (_Cdense_ewise3_accum__div_fc64)
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__div_fc64)
// C=scalar+B GB (_bind1st__div_fc64)
// C=scalar+B' GB (_bind1st_tran__div_fc64)
// C=A+scalar GB (_bind2nd__div_fc64)
// C=A'+scalar GB (_bind2nd_tran__div_fc64)
// C type: GxB_FC64_t
// A type: GxB_FC64_t
// A pattern? 0
// B type: GxB_FC64_t
// B pattern? 0
// BinaryOp: cij = GB_FC64_div (aij, bij)
#define GB_ATYPE \
GxB_FC64_t
#define GB_BTYPE \
GxB_FC64_t
#define GB_CTYPE \
GxB_FC64_t
// true if the types of A and B are identical
#define GB_ATYPE_IS_BTYPE \
1
// true if the types of C and A are identical
#define GB_CTYPE_IS_ATYPE \
1
// true if the types of C and B are identical
#define GB_CTYPE_IS_BTYPE \
1
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA,A_iso) \
GxB_FC64_t aij = GBX (Ax, pA, A_iso)
// true if values of A are not used
#define GB_A_IS_PATTERN \
0 \
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB,B_iso) \
GxB_FC64_t bij = GBX (Bx, pB, B_iso)
// true if values of B are not used
#define GB_B_IS_PATTERN \
0 \
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
GxB_FC64_t t
// cij = Ax [pA]
#define GB_COPY_A_TO_C(cij,Ax,pA,A_iso) \
cij = GBX (Ax, pA, A_iso)
// cij = Bx [pB]
#define GB_COPY_B_TO_C(cij,Bx,pB,B_iso) \
cij = GBX (Bx, pB, B_iso)
#define GB_CX(p) Cx [p]
// binary operator
#define GB_BINOP(z,x,y,i,j) \
z = GB_FC64_div (x, y) ;
// true if the binop must be flipped
#define GB_BINOP_FLIP \
0
// op is second
#define GB_OP_IS_SECOND \
0
// do the numerical phases of GB_add and GB_emult
#define GB_PHASE_2_OF_2
// hard-coded loops can be vectorized
#define GB_PRAGMA_SIMD_VECTORIZE GB_PRAGMA_SIMD
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_DIV || GxB_NO_FC64 || GxB_NO_DIV_FC64)
//------------------------------------------------------------------------------
// C += A+B, all 3 matrices dense
//------------------------------------------------------------------------------
// The op must be MIN, MAX, PLUS, MINUS, RMINUS, TIMES, DIV, or RDIV.
void GB (_Cdense_ewise3_accum__div_fc64)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_accum_template.c"
}
//------------------------------------------------------------------------------
// C = A+B, all 3 matrices dense
//------------------------------------------------------------------------------
void GB (_Cdense_ewise3_noaccum__div_fc64)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_noaccum_template.c"
}
//------------------------------------------------------------------------------
// C += B, accumulate a sparse matrix into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumB__div_fc64)
(
GrB_Matrix C,
const GrB_Matrix B,
const int64_t *B_ek_slicing, const int B_ntasks, const int B_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
#include "GB_dense_subassign_23_template.c"
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += b, accumulate a scalar into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumb__div_fc64)
(
GrB_Matrix C,
const GB_void *p_bwork,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
// get the scalar b for C += b, of type GxB_FC64_t
GxB_FC64_t bwork = (*((GxB_FC64_t *) p_bwork)) ;
#include "GB_dense_subassign_22_template.c"
return (GrB_SUCCESS) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = A*D, column scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_AxD__div_fc64)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix D,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GxB_FC64_t *restrict Cx = (GxB_FC64_t *) C->x ;
#include "GB_AxB_colscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = D*B, row scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_DxB__div_fc64)
(
GrB_Matrix C,
const GrB_Matrix D,
const GrB_Matrix B,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GxB_FC64_t *restrict Cx = (GxB_FC64_t *) C->x ;
#include "GB_AxB_rowscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseAdd: C=A+B, C<M>=A+B, C<!M>=A+B
//------------------------------------------------------------------------------
GrB_Info GB (_AaddB__div_fc64)
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool is_eWiseUnion,
const GB_void *alpha_scalar_in,
const GB_void *beta_scalar_in,
const bool Ch_is_Mh,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GB_WERK_DECLARE (M_ek_slicing, int64_t) ;
GB_WERK_DECLARE (A_ek_slicing, int64_t) ;
GB_WERK_DECLARE (B_ek_slicing, int64_t) ;
GxB_FC64_t alpha_scalar ;
GxB_FC64_t beta_scalar ;
if (is_eWiseUnion)
{
alpha_scalar = (*((GxB_FC64_t *) alpha_scalar_in)) ;
beta_scalar = (*((GxB_FC64_t *) beta_scalar_in )) ;
}
#include "GB_add_template.c"
GB_FREE_WORKSPACE ;
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, or C<M!>=A.*B where C is sparse/hyper
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_08__div_fc64)
(
GrB_Matrix C,
const int C_sparsity,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_08_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<#> = A.*B when A is sparse/hyper and B is bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_02__div_fc64)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool flipxy,
const int64_t *restrict Cp_kfirst,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if GB_BINOP_FLIP
// The operator is not commutative, and does not have a flipped
// variant. For example z=atan2(y,x).
if (flipxy)
{
// use fmult(y,x)
#undef GB_FLIPPED
#define GB_FLIPPED 1
#include "GB_emult_02_template.c"
}
else
{
// use fmult(x,y)
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
}
#else
// No need to handle the flip: the operator is either commutative, or
// has been handled by changing z=div(y,x) to z=rdiv(x,y) for example.
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<M> = A.*B, M sparse/hyper, A and B bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_04__div_fc64)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict Cp_kfirst,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_04_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, C<!M>=A.*B where C is bitmap
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_bitmap__div_fc64)
(
GrB_Matrix C,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_bitmap_emult_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (x,Bx): apply a binary operator to a matrix with scalar bind1st
//------------------------------------------------------------------------------
GrB_Info GB (_bind1st__div_fc64)
(
GB_void *Cx_output, // Cx and Bx may be aliased
const GB_void *x_input,
const GB_void *Bx_input,
const int8_t *restrict Bb,
int64_t bnz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GxB_FC64_t *Cx = (GxB_FC64_t *) Cx_output ;
GxB_FC64_t x = (*((GxB_FC64_t *) x_input)) ;
GxB_FC64_t *Bx = (GxB_FC64_t *) Bx_input ;
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < bnz ; p++)
{
if (!GBB (Bb, p)) continue ;
GxB_FC64_t bij = GBX (Bx, p, false) ;
Cx [p] = GB_FC64_div (x, bij) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB (_bind2nd__div_fc64)
(
GB_void *Cx_output, // Cx and Ax may be aliased
const GB_void *Ax_input,
const GB_void *y_input,
const int8_t *restrict Ab,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
GxB_FC64_t *Cx = (GxB_FC64_t *) Cx_output ;
GxB_FC64_t *Ax = (GxB_FC64_t *) Ax_input ;
GxB_FC64_t y = (*((GxB_FC64_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
GxB_FC64_t aij = GBX (Ax, p, false) ;
Cx [p] = GB_FC64_div (aij, y) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (x, A'): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (x, aij), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
GxB_FC64_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = GB_FC64_div (x, aij) ; \
}
GrB_Info GB (_bind1st_tran__div_fc64)
(
GrB_Matrix C,
const GB_void *x_input,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
// GB_unop_transpose.c uses GB_ATYPE, but A is
// the 2nd input to binary operator z=f(x,y).
#undef GB_ATYPE
#define GB_ATYPE \
GxB_FC64_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GxB_FC64_t x = (*((const GxB_FC64_t *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
GxB_FC64_t
}
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (aij, y), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
GxB_FC64_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = GB_FC64_div (aij, y) ; \
}
GrB_Info GB (_bind2nd_tran__div_fc64)
(
GrB_Matrix C,
const GrB_Matrix A,
const GB_void *y_input,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GxB_FC64_t y = (*((const GxB_FC64_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
rowwise_pick.h | /*!
* Copyright (c) 2020 by Contributors
* \file array/cpu/rowwise_pick.h
* \brief Template implementation for rowwise pick operators.
*/
#ifndef DGL_ARRAY_CPU_ROWWISE_PICK_H_
#define DGL_ARRAY_CPU_ROWWISE_PICK_H_
#include <dgl/array.h>
#include <functional>
#include <algorithm>
#include <string>
#include <vector>
namespace dgl {
namespace aten {
namespace impl {
// User-defined function for picking elements from one row.
//
// The column indices of the given row are stored in
// [col + off, col + off + len)
//
// Similarly, the data indices are stored in
// [data + off, data + off + len)
// Data index pointer could be NULL, which means data[i] == i
//
// *ATTENTION*: This function will be invoked concurrently. Please make sure
// it is thread-safe.
//
// \param rowid The row to pick from.
// \param off Starting offset of this row.
// \param len NNZ of the row.
// \param col Pointer of the column indices.
// \param data Pointer of the data indices.
// \param out_idx Picked indices in [off, off + len).
template <typename IdxType>
using PickFn = std::function<void(
IdxType rowid, IdxType off, IdxType len,
const IdxType* col, const IdxType* data,
IdxType* out_idx)>;
// User-defined function for picking elements from a range within a row.
//
// The column indices of each element is in
// off + et_idx[et_offset+i]), where i is in [et_offset, et_offset+et_len)
//
// Similarly, the data indices are stored in
// data[off+et_idx[et_offset+i])]
// Data index pointer could be NULL, which means data[i] == off+et_idx[et_offset+i])
//
// *ATTENTION*: This function will be invoked concurrently. Please make sure
// it is thread-safe.
//
// \param off Starting offset of this row.
// \param et_offset Starting offset of this range.
// \param et_len Length of the range.
// \param et_idx A map from local idx to column id.
// \param data Pointer of the data indices.
// \param out_idx Picked indices in [et_offset, et_offset + et_len).
template <typename IdxType>
using RangePickFn = std::function<void(
IdxType off, IdxType et_offset, IdxType et_len,
const std::vector<IdxType> &et_idx, const IdxType* data,
IdxType* out_idx)>;
// Template for picking non-zero values row-wise. The implementation utilizes
// OpenMP parallelization on rows because each row performs computation independently.
template <typename IdxType>
COOMatrix CSRRowWisePick(CSRMatrix mat, IdArray rows,
int64_t num_picks, bool replace, PickFn<IdxType> pick_fn) {
using namespace aten;
const IdxType* indptr = static_cast<IdxType*>(mat.indptr->data);
const IdxType* indices = static_cast<IdxType*>(mat.indices->data);
const IdxType* data = CSRHasData(mat)? static_cast<IdxType*>(mat.data->data) : nullptr;
const IdxType* rows_data = static_cast<IdxType*>(rows->data);
const int64_t num_rows = rows->shape[0];
const auto& ctx = mat.indptr->ctx;
// To leverage OMP parallelization, we create two arrays to store
// picked src and dst indices. Each array is of length num_rows * num_picks.
// For rows whose nnz < num_picks, the indices are padded with -1.
//
// We check whether all the given rows
// have at least num_picks number of nnz when replace is false.
//
// If the check holds, remove -1 elements by remove_if operation, which simply
// moves valid elements to the head of arrays and create a view of the original
// array. The implementation consumes a little extra memory than the actual requirement.
//
// Otherwise, directly use the row and col arrays to construct the result COO matrix.
//
// [02/29/2020 update]: OMP is disabled for now since batch-wise parallelism is more
// significant. (minjie)
IdArray picked_row = Full(-1, num_rows * num_picks, sizeof(IdxType) * 8, ctx);
IdArray picked_col = Full(-1, num_rows * num_picks, sizeof(IdxType) * 8, ctx);
IdArray picked_idx = Full(-1, num_rows * num_picks, sizeof(IdxType) * 8, ctx);
IdxType* picked_rdata = static_cast<IdxType*>(picked_row->data);
IdxType* picked_cdata = static_cast<IdxType*>(picked_col->data);
IdxType* picked_idata = static_cast<IdxType*>(picked_idx->data);
bool all_has_fanout = true;
#pragma omp parallel for reduction(&&:all_has_fanout)
for (int64_t i = 0; i < num_rows; ++i) {
const IdxType rid = rows_data[i];
const IdxType len = indptr[rid + 1] - indptr[rid];
// If a node has no neighbor then all_has_fanout must be false even if replace is
// true.
all_has_fanout = all_has_fanout && (len >= (replace ? 1 : num_picks));
}
#pragma omp parallel for
for (int64_t i = 0; i < num_rows; ++i) {
const IdxType rid = rows_data[i];
CHECK_LT(rid, mat.num_rows);
const IdxType off = indptr[rid];
const IdxType len = indptr[rid + 1] - off;
if (len == 0)
continue;
if (len <= num_picks && !replace) {
// nnz <= num_picks and w/o replacement, take all nnz
for (int64_t j = 0; j < len; ++j) {
picked_rdata[i * num_picks + j] = rid;
picked_cdata[i * num_picks + j] = indices[off + j];
picked_idata[i * num_picks + j] = data? data[off + j] : off + j;
}
} else {
pick_fn(rid, off, len,
indices, data,
picked_idata + i * num_picks);
for (int64_t j = 0; j < num_picks; ++j) {
const IdxType picked = picked_idata[i * num_picks + j];
picked_rdata[i * num_picks + j] = rid;
picked_cdata[i * num_picks + j] = indices[picked];
picked_idata[i * num_picks + j] = data? data[picked] : picked;
}
}
}
if (!all_has_fanout) {
// correct the array by remove_if
IdxType* new_row_end = std::remove_if(picked_rdata, picked_rdata + num_rows * num_picks,
[] (IdxType i) { return i == -1; });
IdxType* new_col_end = std::remove_if(picked_cdata, picked_cdata + num_rows * num_picks,
[] (IdxType i) { return i == -1; });
IdxType* new_idx_end = std::remove_if(picked_idata, picked_idata + num_rows * num_picks,
[] (IdxType i) { return i == -1; });
const int64_t new_len = (new_row_end - picked_rdata);
CHECK_EQ(new_col_end - picked_cdata, new_len);
CHECK_EQ(new_idx_end - picked_idata, new_len);
picked_row = picked_row.CreateView({new_len}, picked_row->dtype);
picked_col = picked_col.CreateView({new_len}, picked_col->dtype);
picked_idx = picked_idx.CreateView({new_len}, picked_idx->dtype);
}
return COOMatrix(mat.num_rows, mat.num_cols,
picked_row, picked_col, picked_idx);
}
// Template for picking non-zero values row-wise. The implementation utilizes
// OpenMP parallelization on rows because each row performs computation independently.
template <typename IdxType>
COOMatrix CSRRowWisePerEtypePick(CSRMatrix mat, IdArray rows, IdArray etypes,
int64_t num_picks, bool replace, RangePickFn<IdxType> pick_fn) {
using namespace aten;
const IdxType* indptr = static_cast<IdxType*>(mat.indptr->data);
const IdxType* indices = static_cast<IdxType*>(mat.indices->data);
const IdxType* data = CSRHasData(mat)? static_cast<IdxType*>(mat.data->data) : nullptr;
const IdxType* rows_data = static_cast<IdxType*>(rows->data);
const int32_t* etype_data = static_cast<int32_t*>(etypes->data);
const int64_t num_rows = rows->shape[0];
const auto& ctx = mat.indptr->ctx;
CHECK_EQ(etypes->dtype.bits / 8, sizeof(int32_t));
std::vector<IdArray> picked_rows(rows->shape[0]);
std::vector<IdArray> picked_cols(rows->shape[0]);
std::vector<IdArray> picked_idxs(rows->shape[0]);
#pragma omp parallel for
for (int64_t i = 0; i < num_rows; ++i) {
const IdxType rid = rows_data[i];
CHECK_LT(rid, mat.num_rows);
const IdxType off = indptr[rid];
const IdxType len = indptr[rid + 1] - off;
// do something here
if (len == 0) {
picked_rows[i] = NewIdArray(0, ctx, sizeof(IdxType) * 8);
picked_cols[i] = NewIdArray(0, ctx, sizeof(IdxType) * 8);
picked_idxs[i] = NewIdArray(0, ctx, sizeof(IdxType) * 8);
continue;
}
// fast path
if (len <= num_picks && !replace) {
IdArray rows = Full(rid, len, sizeof(IdxType) * 8, ctx);
IdArray cols = Full(-1, len, sizeof(IdxType) * 8, ctx);
IdArray idx = Full(-1, len, sizeof(IdxType) * 8, ctx);
IdxType* cdata = static_cast<IdxType*>(cols->data);
IdxType* idata = static_cast<IdxType*>(idx->data);
for (int64_t j = 0; j < len; ++j) {
cdata[j] = indices[off + j];
idata[j] = data ? data[off + j] : off + j;
}
picked_rows[i] = rows;
picked_cols[i] = cols;
picked_idxs[i] = idx;
} else {
// need to do per edge type sample
std::vector<IdxType> rows;
std::vector<IdxType> cols;
std::vector<IdxType> idx;
std::vector<IdxType> et(len);
std::vector<IdxType> et_idx(len);
std::iota(et_idx.begin(), et_idx.end(), 0);
for (int64_t j = 0; j < len; ++j) {
et[j] = data ? etype_data[data[off+j]] : etype_data[off+j];
}
std::sort(et_idx.begin(), et_idx.end(),
[&et](IdxType i1, IdxType i2) {return et[i1] < et[i2];});
IdxType cur_et = et[et_idx[0]];
int64_t et_offset = 0;
int64_t et_len = 1;
for (int64_t j = 0; j < len; ++j) {
if ((j+1 == len) || cur_et != et[et_idx[j+1]]) {
// 1 end of the current etype
// 2 end of the row
// random pick for current etype
if (et_len <= num_picks && !replace) {
// fast path, select all
for (int64_t k = 0; k < et_len; ++k) {
rows.push_back(rid);
cols.push_back(indices[off+et_idx[et_offset+k]]);
if (data)
idx.push_back(data[off+et_idx[et_offset+k]]);
else
idx.push_back(off+et_idx[et_offset+k]);
}
} else {
IdArray picked_idx = Full(-1, num_picks, sizeof(IdxType) * 8, ctx);
IdxType* picked_idata = static_cast<IdxType*>(picked_idx->data);
// need call random pick
pick_fn(off, et_offset,
et_len, et_idx,
data, picked_idata);
for (int64_t k = 0; k < num_picks; ++k) {
const IdxType picked = picked_idata[k];
rows.push_back(rid);
cols.push_back(indices[off+et_idx[et_offset+picked]]);
if (data)
idx.push_back(data[off+et_idx[et_offset+picked]]);
else
idx.push_back(off+et_idx[et_offset+picked]);
}
}
if (j+1 == len)
break;
// next etype
cur_et = et[et_idx[j+1]];
et_offset = j+1;
et_len = 1;
} else {
et_len++;
}
}
picked_rows[i] = VecToIdArray(rows, sizeof(IdxType) * 8, ctx);
picked_cols[i] = VecToIdArray(cols, sizeof(IdxType) * 8, ctx);
picked_idxs[i] = VecToIdArray(idx, sizeof(IdxType) * 8, ctx);
} // end processing one row
CHECK_EQ(picked_rows[i]->shape[0], picked_cols[i]->shape[0]);
CHECK_EQ(picked_rows[i]->shape[0], picked_idxs[i]->shape[0]);
} // end processing all rows
IdArray picked_row = Concat(picked_rows);
IdArray picked_col = Concat(picked_cols);
IdArray picked_idx = Concat(picked_idxs);
return COOMatrix(mat.num_rows, mat.num_cols,
picked_row, picked_col, picked_idx);
}
// Template for picking non-zero values row-wise. The implementation first slices
// out the corresponding rows and then converts it to CSR format. It then performs
// row-wise pick on the CSR matrix and rectifies the returned results.
template <typename IdxType>
COOMatrix COORowWisePick(COOMatrix mat, IdArray rows,
int64_t num_picks, bool replace, PickFn<IdxType> pick_fn) {
using namespace aten;
const auto& csr = COOToCSR(COOSliceRows(mat, rows));
const IdArray new_rows = Range(0, rows->shape[0], rows->dtype.bits, rows->ctx);
const auto& picked = CSRRowWisePick<IdxType>(csr, new_rows, num_picks, replace, pick_fn);
return COOMatrix(mat.num_rows, mat.num_cols,
IndexSelect(rows, picked.row), // map the row index to the correct one
picked.col,
picked.data);
}
// Template for picking non-zero values row-wise. The implementation first slices
// out the corresponding rows and then converts it to CSR format. It then performs
// row-wise pick on the CSR matrix and rectifies the returned results.
template <typename IdxType>
COOMatrix COORowWisePerEtypePick(COOMatrix mat, IdArray rows, IdArray etypes,
int64_t num_picks, bool replace, RangePickFn<IdxType> pick_fn) {
using namespace aten;
const auto& csr = COOToCSR(COOSliceRows(mat, rows));
const IdArray new_rows = Range(0, rows->shape[0], rows->dtype.bits, rows->ctx);
const auto& picked = CSRRowWisePerEtypePick<IdxType>(
csr, new_rows, etypes, num_picks, replace, pick_fn);
return COOMatrix(mat.num_rows, mat.num_cols,
IndexSelect(rows, picked.row), // map the row index to the correct one
picked.col,
picked.data);
}
} // namespace impl
} // namespace aten
} // namespace dgl
#endif // DGL_ARRAY_CPU_ROWWISE_PICK_H_
|
nmf_pgd.c | /* Generated by Cython 0.29.23 */
/* BEGIN: Cython Metadata
{
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"depends": [],
"language": "c",
"name": "gensim.models.nmf_pgd",
"sources": [
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#define CYTHON_PEP393_ENABLED 0
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#define PyUnicode_2BYTE_KIND 2
#define PyUnicode_4BYTE_KIND 4
#define __Pyx_PyUnicode_READY(op) (0)
#define __Pyx_PyUnicode_GET_LENGTH(u) PyUnicode_GET_SIZE(u)
#define __Pyx_PyUnicode_READ_CHAR(u, i) ((Py_UCS4)(PyUnicode_AS_UNICODE(u)[i]))
#define __Pyx_PyUnicode_MAX_CHAR_VALUE(u) ((sizeof(Py_UNICODE) == 2) ? 65535 : 1114111)
#define __Pyx_PyUnicode_KIND(u) (sizeof(Py_UNICODE))
#define __Pyx_PyUnicode_DATA(u) ((void*)PyUnicode_AS_UNICODE(u))
#define __Pyx_PyUnicode_READ(k, d, i) ((void)(k), (Py_UCS4)(((Py_UNICODE*)d)[i]))
#define __Pyx_PyUnicode_WRITE(k, d, i, ch) (((void)(k)), ((Py_UNICODE*)d)[i] = ch)
#define __Pyx_PyUnicode_IS_TRUE(u) (0 != PyUnicode_GET_SIZE(u))
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#define __Pyx_PyUnicode_Concat(a, b) PyNumber_Add(a, b)
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#define __Pyx_PyUnicode_ConcatSafe(a, b) ((unlikely((a) == Py_None) || unlikely((b) == Py_None)) ?\
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#define PyUnicode_Contains(u, s) PySequence_Contains(u, s)
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#define PyByteArray_Check(obj) PyObject_TypeCheck(obj, &PyByteArray_Type)
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#define __Pyx_PyUnicode_FormatSafe(a, b) ((unlikely((a) == Py_None || (PyUnicode_Check(b) && !PyUnicode_CheckExact(b)))) ? PyNumber_Remainder(a, b) : PyUnicode_Format(a, b))
#if PY_MAJOR_VERSION >= 3
#define __Pyx_PyString_Format(a, b) PyUnicode_Format(a, b)
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#define PyObject_ASCII(o) PyObject_Repr(o)
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#if PY_MAJOR_VERSION >= 3
#define PyBaseString_Type PyUnicode_Type
#define PyStringObject PyUnicodeObject
#define PyString_Type PyUnicode_Type
#define PyString_Check PyUnicode_Check
#define PyString_CheckExact PyUnicode_CheckExact
#ifndef PyObject_Unicode
#define PyObject_Unicode PyObject_Str
#endif
#endif
#if PY_MAJOR_VERSION >= 3
#define __Pyx_PyBaseString_Check(obj) PyUnicode_Check(obj)
#define __Pyx_PyBaseString_CheckExact(obj) PyUnicode_CheckExact(obj)
#else
#define __Pyx_PyBaseString_Check(obj) (PyString_Check(obj) || PyUnicode_Check(obj))
#define __Pyx_PyBaseString_CheckExact(obj) (PyString_CheckExact(obj) || PyUnicode_CheckExact(obj))
#endif
#ifndef PySet_CheckExact
#define PySet_CheckExact(obj) (Py_TYPE(obj) == &PySet_Type)
#endif
#if PY_VERSION_HEX >= 0x030900A4
#define __Pyx_SET_REFCNT(obj, refcnt) Py_SET_REFCNT(obj, refcnt)
#define __Pyx_SET_SIZE(obj, size) Py_SET_SIZE(obj, size)
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#define __Pyx_SET_REFCNT(obj, refcnt) Py_REFCNT(obj) = (refcnt)
#define __Pyx_SET_SIZE(obj, size) Py_SIZE(obj) = (size)
#endif
#if CYTHON_ASSUME_SAFE_MACROS
#define __Pyx_PySequence_SIZE(seq) Py_SIZE(seq)
#else
#define __Pyx_PySequence_SIZE(seq) PySequence_Size(seq)
#endif
#if PY_MAJOR_VERSION >= 3
#define PyIntObject PyLongObject
#define PyInt_Type PyLong_Type
#define PyInt_Check(op) PyLong_Check(op)
#define PyInt_CheckExact(op) PyLong_CheckExact(op)
#define PyInt_FromString PyLong_FromString
#define PyInt_FromUnicode PyLong_FromUnicode
#define PyInt_FromLong PyLong_FromLong
#define PyInt_FromSize_t PyLong_FromSize_t
#define PyInt_FromSsize_t PyLong_FromSsize_t
#define PyInt_AsLong PyLong_AsLong
#define PyInt_AS_LONG PyLong_AS_LONG
#define PyInt_AsSsize_t PyLong_AsSsize_t
#define PyInt_AsUnsignedLongMask PyLong_AsUnsignedLongMask
#define PyInt_AsUnsignedLongLongMask PyLong_AsUnsignedLongLongMask
#define PyNumber_Int PyNumber_Long
#endif
#if PY_MAJOR_VERSION >= 3
#define PyBoolObject PyLongObject
#endif
#if PY_MAJOR_VERSION >= 3 && CYTHON_COMPILING_IN_PYPY
#ifndef PyUnicode_InternFromString
#define PyUnicode_InternFromString(s) PyUnicode_FromString(s)
#endif
#endif
#if PY_VERSION_HEX < 0x030200A4
typedef long Py_hash_t;
#define __Pyx_PyInt_FromHash_t PyInt_FromLong
#define __Pyx_PyInt_AsHash_t PyInt_AsLong
#else
#define __Pyx_PyInt_FromHash_t PyInt_FromSsize_t
#define __Pyx_PyInt_AsHash_t PyInt_AsSsize_t
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#if PY_MAJOR_VERSION >= 3
#define __Pyx_PyMethod_New(func, self, klass) ((self) ? ((void)(klass), PyMethod_New(func, self)) : __Pyx_NewRef(func))
#else
#define __Pyx_PyMethod_New(func, self, klass) PyMethod_New(func, self, klass)
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#if CYTHON_USE_ASYNC_SLOTS
#if PY_VERSION_HEX >= 0x030500B1
#define __Pyx_PyAsyncMethodsStruct PyAsyncMethods
#define __Pyx_PyType_AsAsync(obj) (Py_TYPE(obj)->tp_as_async)
#else
#define __Pyx_PyType_AsAsync(obj) ((__Pyx_PyAsyncMethodsStruct*) (Py_TYPE(obj)->tp_reserved))
#endif
#else
#define __Pyx_PyType_AsAsync(obj) NULL
#endif
#ifndef __Pyx_PyAsyncMethodsStruct
typedef struct {
unaryfunc am_await;
unaryfunc am_aiter;
unaryfunc am_anext;
} __Pyx_PyAsyncMethodsStruct;
#endif
#if defined(WIN32) || defined(MS_WINDOWS)
#define _USE_MATH_DEFINES
#endif
#include <math.h>
#ifdef NAN
#define __PYX_NAN() ((float) NAN)
#else
static CYTHON_INLINE float __PYX_NAN() {
float value;
memset(&value, 0xFF, sizeof(value));
return value;
}
#endif
#if defined(__CYGWIN__) && defined(_LDBL_EQ_DBL)
#define __Pyx_truncl trunc
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#define __Pyx_truncl truncl
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#define __PYX_MARK_ERR_POS(f_index, lineno) \
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#define __PYX_ERR(f_index, lineno, Ln_error) \
{ __PYX_MARK_ERR_POS(f_index, lineno) goto Ln_error; }
#ifndef __PYX_EXTERN_C
#ifdef __cplusplus
#define __PYX_EXTERN_C extern "C"
#else
#define __PYX_EXTERN_C extern
#endif
#endif
#define __PYX_HAVE__gensim__models__nmf_pgd
#define __PYX_HAVE_API__gensim__models__nmf_pgd
/* Early includes */
#include <math.h>
#include "pythread.h"
#include <string.h>
#include <stdlib.h>
#include <stdio.h>
#include "pystate.h"
#ifdef _OPENMP
#include <omp.h>
#endif /* _OPENMP */
#if defined(PYREX_WITHOUT_ASSERTIONS) && !defined(CYTHON_WITHOUT_ASSERTIONS)
#define CYTHON_WITHOUT_ASSERTIONS
#endif
typedef struct {PyObject **p; const char *s; const Py_ssize_t n; const char* encoding;
const char is_unicode; const char is_str; const char intern; } __Pyx_StringTabEntry;
#define __PYX_DEFAULT_STRING_ENCODING_IS_ASCII 0
#define __PYX_DEFAULT_STRING_ENCODING_IS_UTF8 0
#define __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT (PY_MAJOR_VERSION >= 3 && __PYX_DEFAULT_STRING_ENCODING_IS_UTF8)
#define __PYX_DEFAULT_STRING_ENCODING ""
#define __Pyx_PyObject_FromString __Pyx_PyBytes_FromString
#define __Pyx_PyObject_FromStringAndSize __Pyx_PyBytes_FromStringAndSize
#define __Pyx_uchar_cast(c) ((unsigned char)c)
#define __Pyx_long_cast(x) ((long)x)
#define __Pyx_fits_Py_ssize_t(v, type, is_signed) (\
(sizeof(type) < sizeof(Py_ssize_t)) ||\
(sizeof(type) > sizeof(Py_ssize_t) &&\
likely(v < (type)PY_SSIZE_T_MAX ||\
v == (type)PY_SSIZE_T_MAX) &&\
(!is_signed || likely(v > (type)PY_SSIZE_T_MIN ||\
v == (type)PY_SSIZE_T_MIN))) ||\
(sizeof(type) == sizeof(Py_ssize_t) &&\
(is_signed || likely(v < (type)PY_SSIZE_T_MAX ||\
v == (type)PY_SSIZE_T_MAX))) )
static CYTHON_INLINE int __Pyx_is_valid_index(Py_ssize_t i, Py_ssize_t limit) {
return (size_t) i < (size_t) limit;
}
#if defined (__cplusplus) && __cplusplus >= 201103L
#include <cstdlib>
#define __Pyx_sst_abs(value) std::abs(value)
#elif SIZEOF_INT >= SIZEOF_SIZE_T
#define __Pyx_sst_abs(value) abs(value)
#elif SIZEOF_LONG >= SIZEOF_SIZE_T
#define __Pyx_sst_abs(value) labs(value)
#elif defined (_MSC_VER)
#define __Pyx_sst_abs(value) ((Py_ssize_t)_abs64(value))
#elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L
#define __Pyx_sst_abs(value) llabs(value)
#elif defined (__GNUC__)
#define __Pyx_sst_abs(value) __builtin_llabs(value)
#else
#define __Pyx_sst_abs(value) ((value<0) ? -value : value)
#endif
static CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject*);
static CYTHON_INLINE const char* __Pyx_PyObject_AsStringAndSize(PyObject*, Py_ssize_t* length);
#define __Pyx_PyByteArray_FromString(s) PyByteArray_FromStringAndSize((const char*)s, strlen((const char*)s))
#define __Pyx_PyByteArray_FromStringAndSize(s, l) PyByteArray_FromStringAndSize((const char*)s, l)
#define __Pyx_PyBytes_FromString PyBytes_FromString
#define __Pyx_PyBytes_FromStringAndSize PyBytes_FromStringAndSize
static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char*);
#if PY_MAJOR_VERSION < 3
#define __Pyx_PyStr_FromString __Pyx_PyBytes_FromString
#define __Pyx_PyStr_FromStringAndSize __Pyx_PyBytes_FromStringAndSize
#else
#define __Pyx_PyStr_FromString __Pyx_PyUnicode_FromString
#define __Pyx_PyStr_FromStringAndSize __Pyx_PyUnicode_FromStringAndSize
#endif
#define __Pyx_PyBytes_AsWritableString(s) ((char*) PyBytes_AS_STRING(s))
#define __Pyx_PyBytes_AsWritableSString(s) ((signed char*) PyBytes_AS_STRING(s))
#define __Pyx_PyBytes_AsWritableUString(s) ((unsigned char*) PyBytes_AS_STRING(s))
#define __Pyx_PyBytes_AsString(s) ((const char*) PyBytes_AS_STRING(s))
#define __Pyx_PyBytes_AsSString(s) ((const signed char*) PyBytes_AS_STRING(s))
#define __Pyx_PyBytes_AsUString(s) ((const unsigned char*) PyBytes_AS_STRING(s))
#define __Pyx_PyObject_AsWritableString(s) ((char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_AsWritableSString(s) ((signed char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_AsWritableUString(s) ((unsigned char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_AsSString(s) ((const signed char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_AsUString(s) ((const unsigned char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_FromCString(s) __Pyx_PyObject_FromString((const char*)s)
#define __Pyx_PyBytes_FromCString(s) __Pyx_PyBytes_FromString((const char*)s)
#define __Pyx_PyByteArray_FromCString(s) __Pyx_PyByteArray_FromString((const char*)s)
#define __Pyx_PyStr_FromCString(s) __Pyx_PyStr_FromString((const char*)s)
#define __Pyx_PyUnicode_FromCString(s) __Pyx_PyUnicode_FromString((const char*)s)
static CYTHON_INLINE size_t __Pyx_Py_UNICODE_strlen(const Py_UNICODE *u) {
const Py_UNICODE *u_end = u;
while (*u_end++) ;
return (size_t)(u_end - u - 1);
}
#define __Pyx_PyUnicode_FromUnicode(u) PyUnicode_FromUnicode(u, __Pyx_Py_UNICODE_strlen(u))
#define __Pyx_PyUnicode_FromUnicodeAndLength PyUnicode_FromUnicode
#define __Pyx_PyUnicode_AsUnicode PyUnicode_AsUnicode
#define __Pyx_NewRef(obj) (Py_INCREF(obj), obj)
#define __Pyx_Owned_Py_None(b) __Pyx_NewRef(Py_None)
static CYTHON_INLINE PyObject * __Pyx_PyBool_FromLong(long b);
static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject*);
static CYTHON_INLINE int __Pyx_PyObject_IsTrueAndDecref(PyObject*);
static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x);
#define __Pyx_PySequence_Tuple(obj)\
(likely(PyTuple_CheckExact(obj)) ? __Pyx_NewRef(obj) : PySequence_Tuple(obj))
static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject*);
static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t);
#if CYTHON_ASSUME_SAFE_MACROS
#define __pyx_PyFloat_AsDouble(x) (PyFloat_CheckExact(x) ? PyFloat_AS_DOUBLE(x) : PyFloat_AsDouble(x))
#else
#define __pyx_PyFloat_AsDouble(x) PyFloat_AsDouble(x)
#endif
#define __pyx_PyFloat_AsFloat(x) ((float) __pyx_PyFloat_AsDouble(x))
#if PY_MAJOR_VERSION >= 3
#define __Pyx_PyNumber_Int(x) (PyLong_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Long(x))
#else
#define __Pyx_PyNumber_Int(x) (PyInt_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Int(x))
#endif
#define __Pyx_PyNumber_Float(x) (PyFloat_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Float(x))
#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
static int __Pyx_sys_getdefaultencoding_not_ascii;
static int __Pyx_init_sys_getdefaultencoding_params(void) {
PyObject* sys;
PyObject* default_encoding = NULL;
PyObject* ascii_chars_u = NULL;
PyObject* ascii_chars_b = NULL;
const char* default_encoding_c;
sys = PyImport_ImportModule("sys");
if (!sys) goto bad;
default_encoding = PyObject_CallMethod(sys, (char*) "getdefaultencoding", NULL);
Py_DECREF(sys);
if (!default_encoding) goto bad;
default_encoding_c = PyBytes_AsString(default_encoding);
if (!default_encoding_c) goto bad;
if (strcmp(default_encoding_c, "ascii") == 0) {
__Pyx_sys_getdefaultencoding_not_ascii = 0;
} else {
char ascii_chars[128];
int c;
for (c = 0; c < 128; c++) {
ascii_chars[c] = c;
}
__Pyx_sys_getdefaultencoding_not_ascii = 1;
ascii_chars_u = PyUnicode_DecodeASCII(ascii_chars, 128, NULL);
if (!ascii_chars_u) goto bad;
ascii_chars_b = PyUnicode_AsEncodedString(ascii_chars_u, default_encoding_c, NULL);
if (!ascii_chars_b || !PyBytes_Check(ascii_chars_b) || memcmp(ascii_chars, PyBytes_AS_STRING(ascii_chars_b), 128) != 0) {
PyErr_Format(
PyExc_ValueError,
"This module compiled with c_string_encoding=ascii, but default encoding '%.200s' is not a superset of ascii.",
default_encoding_c);
goto bad;
}
Py_DECREF(ascii_chars_u);
Py_DECREF(ascii_chars_b);
}
Py_DECREF(default_encoding);
return 0;
bad:
Py_XDECREF(default_encoding);
Py_XDECREF(ascii_chars_u);
Py_XDECREF(ascii_chars_b);
return -1;
}
#endif
#if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT && PY_MAJOR_VERSION >= 3
#define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_DecodeUTF8(c_str, size, NULL)
#else
#define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_Decode(c_str, size, __PYX_DEFAULT_STRING_ENCODING, NULL)
#if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT
static char* __PYX_DEFAULT_STRING_ENCODING;
static int __Pyx_init_sys_getdefaultencoding_params(void) {
PyObject* sys;
PyObject* default_encoding = NULL;
char* default_encoding_c;
sys = PyImport_ImportModule("sys");
if (!sys) goto bad;
default_encoding = PyObject_CallMethod(sys, (char*) (const char*) "getdefaultencoding", NULL);
Py_DECREF(sys);
if (!default_encoding) goto bad;
default_encoding_c = PyBytes_AsString(default_encoding);
if (!default_encoding_c) goto bad;
__PYX_DEFAULT_STRING_ENCODING = (char*) malloc(strlen(default_encoding_c) + 1);
if (!__PYX_DEFAULT_STRING_ENCODING) goto bad;
strcpy(__PYX_DEFAULT_STRING_ENCODING, default_encoding_c);
Py_DECREF(default_encoding);
return 0;
bad:
Py_XDECREF(default_encoding);
return -1;
}
#endif
#endif
/* Test for GCC > 2.95 */
#if defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95)))
#define likely(x) __builtin_expect(!!(x), 1)
#define unlikely(x) __builtin_expect(!!(x), 0)
#else /* !__GNUC__ or GCC < 2.95 */
#define likely(x) (x)
#define unlikely(x) (x)
#endif /* __GNUC__ */
static CYTHON_INLINE void __Pyx_pretend_to_initialize(void* ptr) { (void)ptr; }
static PyObject *__pyx_m = NULL;
static PyObject *__pyx_d;
static PyObject *__pyx_b;
static PyObject *__pyx_cython_runtime = NULL;
static PyObject *__pyx_empty_tuple;
static PyObject *__pyx_empty_bytes;
static PyObject *__pyx_empty_unicode;
static int __pyx_lineno;
static int __pyx_clineno = 0;
static const char * __pyx_cfilenm= __FILE__;
static const char *__pyx_filename;
static const char *__pyx_f[] = {
"gensim/models/nmf_pgd.pyx",
"stringsource",
};
/* NoFastGil.proto */
#define __Pyx_PyGILState_Ensure PyGILState_Ensure
#define __Pyx_PyGILState_Release PyGILState_Release
#define __Pyx_FastGIL_Remember()
#define __Pyx_FastGIL_Forget()
#define __Pyx_FastGilFuncInit()
/* MemviewSliceStruct.proto */
struct __pyx_memoryview_obj;
typedef struct {
struct __pyx_memoryview_obj *memview;
char *data;
Py_ssize_t shape[8];
Py_ssize_t strides[8];
Py_ssize_t suboffsets[8];
} __Pyx_memviewslice;
#define __Pyx_MemoryView_Len(m) (m.shape[0])
/* Atomics.proto */
#include <pythread.h>
#ifndef CYTHON_ATOMICS
#define CYTHON_ATOMICS 1
#endif
#define __pyx_atomic_int_type int
#if CYTHON_ATOMICS && __GNUC__ >= 4 && (__GNUC_MINOR__ > 1 ||\
(__GNUC_MINOR__ == 1 && __GNUC_PATCHLEVEL >= 2)) &&\
!defined(__i386__)
#define __pyx_atomic_incr_aligned(value, lock) __sync_fetch_and_add(value, 1)
#define __pyx_atomic_decr_aligned(value, lock) __sync_fetch_and_sub(value, 1)
#ifdef __PYX_DEBUG_ATOMICS
#warning "Using GNU atomics"
#endif
#elif CYTHON_ATOMICS && defined(_MSC_VER) && 0
#include <Windows.h>
#undef __pyx_atomic_int_type
#define __pyx_atomic_int_type LONG
#define __pyx_atomic_incr_aligned(value, lock) InterlockedIncrement(value)
#define __pyx_atomic_decr_aligned(value, lock) InterlockedDecrement(value)
#ifdef __PYX_DEBUG_ATOMICS
#pragma message ("Using MSVC atomics")
#endif
#elif CYTHON_ATOMICS && (defined(__ICC) || defined(__INTEL_COMPILER)) && 0
#define __pyx_atomic_incr_aligned(value, lock) _InterlockedIncrement(value)
#define __pyx_atomic_decr_aligned(value, lock) _InterlockedDecrement(value)
#ifdef __PYX_DEBUG_ATOMICS
#warning "Using Intel atomics"
#endif
#else
#undef CYTHON_ATOMICS
#define CYTHON_ATOMICS 0
#ifdef __PYX_DEBUG_ATOMICS
#warning "Not using atomics"
#endif
#endif
typedef volatile __pyx_atomic_int_type __pyx_atomic_int;
#if CYTHON_ATOMICS
#define __pyx_add_acquisition_count(memview)\
__pyx_atomic_incr_aligned(__pyx_get_slice_count_pointer(memview), memview->lock)
#define __pyx_sub_acquisition_count(memview)\
__pyx_atomic_decr_aligned(__pyx_get_slice_count_pointer(memview), memview->lock)
#else
#define __pyx_add_acquisition_count(memview)\
__pyx_add_acquisition_count_locked(__pyx_get_slice_count_pointer(memview), memview->lock)
#define __pyx_sub_acquisition_count(memview)\
__pyx_sub_acquisition_count_locked(__pyx_get_slice_count_pointer(memview), memview->lock)
#endif
/* ForceInitThreads.proto */
#ifndef __PYX_FORCE_INIT_THREADS
#define __PYX_FORCE_INIT_THREADS 0
#endif
/* BufferFormatStructs.proto */
#define IS_UNSIGNED(type) (((type) -1) > 0)
struct __Pyx_StructField_;
#define __PYX_BUF_FLAGS_PACKED_STRUCT (1 << 0)
typedef struct {
const char* name;
struct __Pyx_StructField_* fields;
size_t size;
size_t arraysize[8];
int ndim;
char typegroup;
char is_unsigned;
int flags;
} __Pyx_TypeInfo;
typedef struct __Pyx_StructField_ {
__Pyx_TypeInfo* type;
const char* name;
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#define __Pyx_MEMVIEW_DIRECT 1
#define __Pyx_MEMVIEW_PTR 2
#define __Pyx_MEMVIEW_FULL 4
#define __Pyx_MEMVIEW_CONTIG 8
#define __Pyx_MEMVIEW_STRIDED 16
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#define __Pyx_ArgTypeTest(obj, type, none_allowed, name, exact)\
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static int __Pyx__ArgTypeTest(PyObject *obj, PyTypeObject *type, const char *name, int exact);
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#define __Pyx_PyThreadState_declare PyThreadState *__pyx_tstate;
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#define __Pyx_PyThreadState_declare
#define __Pyx_PyThreadState_assign
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#define __Pyx_PyErr_Clear() __Pyx_ErrRestore(NULL, NULL, NULL)
#define __Pyx_ErrRestoreWithState(type, value, tb) __Pyx_ErrRestoreInState(PyThreadState_GET(), type, value, tb)
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static CYTHON_INLINE void __Pyx_ErrFetchInState(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb);
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#define __Pyx_ErrRestoreWithState(type, value, tb) PyErr_Restore(type, value, tb)
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#define __Pyx_ErrRestoreInState(tstate, type, value, tb) PyErr_Restore(type, value, tb)
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static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause);
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#if CYTHON_FAST_PYCCALL
static CYTHON_INLINE PyObject *__Pyx_PyCFunction_FastCall(PyObject *func, PyObject **args, Py_ssize_t nargs);
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#if CYTHON_FAST_PYCALL
#define __Pyx_PyFunction_FastCall(func, args, nargs)\
__Pyx_PyFunction_FastCallDict((func), (args), (nargs), NULL)
#if 1 || PY_VERSION_HEX < 0x030600B1
static PyObject *__Pyx_PyFunction_FastCallDict(PyObject *func, PyObject **args, Py_ssize_t nargs, PyObject *kwargs);
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#define __Pyx_BUILD_ASSERT_EXPR(cond)\
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#define __PYX_UPDATE_DICT_CACHE(dict, value, cache_var, version_var)
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#define __Pyx_ExceptionReset(type, value, tb) PyErr_SetExcInfo(type, value, tb)
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#define __Pyx_GetException(type, value, tb) __Pyx__GetException(__pyx_tstate, type, value, tb)
static int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb);
#else
static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb);
#endif
/* SwapException.proto */
#if CYTHON_FAST_THREAD_STATE
#define __Pyx_ExceptionSwap(type, value, tb) __Pyx__ExceptionSwap(__pyx_tstate, type, value, tb)
static CYTHON_INLINE void __Pyx__ExceptionSwap(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb);
#else
static CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, PyObject **tb);
#endif
/* Import.proto */
static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level);
/* FastTypeChecks.proto */
#if CYTHON_COMPILING_IN_CPYTHON
#define __Pyx_TypeCheck(obj, type) __Pyx_IsSubtype(Py_TYPE(obj), (PyTypeObject *)type)
static CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b);
static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches(PyObject *err, PyObject *type);
static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches2(PyObject *err, PyObject *type1, PyObject *type2);
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#define __Pyx_TypeCheck(obj, type) PyObject_TypeCheck(obj, (PyTypeObject *)type)
#define __Pyx_PyErr_GivenExceptionMatches(err, type) PyErr_GivenExceptionMatches(err, type)
#define __Pyx_PyErr_GivenExceptionMatches2(err, type1, type2) (PyErr_GivenExceptionMatches(err, type1) || PyErr_GivenExceptionMatches(err, type2))
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#define __Pyx_PyException_Check(obj) __Pyx_TypeCheck(obj, PyExc_Exception)
static CYTHON_UNUSED int __pyx_memoryview_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/
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#if CYTHON_USE_PYLIST_INTERNALS && CYTHON_ASSUME_SAFE_MACROS
static CYTHON_INLINE int __Pyx_ListComp_Append(PyObject* list, PyObject* x) {
PyListObject* L = (PyListObject*) list;
Py_ssize_t len = Py_SIZE(list);
if (likely(L->allocated > len)) {
Py_INCREF(x);
PyList_SET_ITEM(list, len, x);
__Pyx_SET_SIZE(list, len + 1);
return 0;
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return PyList_Append(list, x);
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#define __Pyx_ListComp_Append(L,x) PyList_Append(L,x)
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/* PyIntBinop.proto */
#if !CYTHON_COMPILING_IN_PYPY
static PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, long intval, int inplace, int zerodivision_check);
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#define __Pyx_PyInt_AddObjC(op1, op2, intval, inplace, zerodivision_check)\
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static CYTHON_INLINE int __Pyx_PyList_Extend(PyObject* L, PyObject* v) {
#if CYTHON_COMPILING_IN_CPYTHON
PyObject* none = _PyList_Extend((PyListObject*)L, v);
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Py_DECREF(none);
return 0;
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return PyList_SetSlice(L, PY_SSIZE_T_MAX, PY_SSIZE_T_MAX, v);
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}
/* ListAppend.proto */
#if CYTHON_USE_PYLIST_INTERNALS && CYTHON_ASSUME_SAFE_MACROS
static CYTHON_INLINE int __Pyx_PyList_Append(PyObject* list, PyObject* x) {
PyListObject* L = (PyListObject*) list;
Py_ssize_t len = Py_SIZE(list);
if (likely(L->allocated > len) & likely(len > (L->allocated >> 1))) {
Py_INCREF(x);
PyList_SET_ITEM(list, len, x);
__Pyx_SET_SIZE(list, len + 1);
return 0;
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return PyList_Append(list, x);
}
#else
#define __Pyx_PyList_Append(L,x) PyList_Append(L,x)
#endif
/* None.proto */
static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname);
/* ImportFrom.proto */
static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name);
/* HasAttr.proto */
static CYTHON_INLINE int __Pyx_HasAttr(PyObject *, PyObject *);
/* PyObject_GenericGetAttrNoDict.proto */
#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000
static CYTHON_INLINE PyObject* __Pyx_PyObject_GenericGetAttrNoDict(PyObject* obj, PyObject* attr_name);
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#define __Pyx_PyObject_GenericGetAttrNoDict PyObject_GenericGetAttr
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/* PyObject_GenericGetAttr.proto */
#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000
static PyObject* __Pyx_PyObject_GenericGetAttr(PyObject* obj, PyObject* attr_name);
#else
#define __Pyx_PyObject_GenericGetAttr PyObject_GenericGetAttr
#endif
/* SetVTable.proto */
static int __Pyx_SetVtable(PyObject *dict, void *vtable);
/* PyObjectGetAttrStrNoError.proto */
static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStrNoError(PyObject* obj, PyObject* attr_name);
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static int __Pyx_setup_reduce(PyObject* type_obj);
/* CLineInTraceback.proto */
#ifdef CYTHON_CLINE_IN_TRACEBACK
#define __Pyx_CLineForTraceback(tstate, c_line) (((CYTHON_CLINE_IN_TRACEBACK)) ? c_line : 0)
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static int __Pyx_CLineForTraceback(PyThreadState *tstate, int c_line);
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/* CodeObjectCache.proto */
typedef struct {
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int code_line;
} __Pyx_CodeObjectCacheEntry;
struct __Pyx_CodeObjectCache {
int count;
int max_count;
__Pyx_CodeObjectCacheEntry* entries;
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static struct __Pyx_CodeObjectCache __pyx_code_cache = {0,0,NULL};
static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line);
static PyCodeObject *__pyx_find_code_object(int code_line);
static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object);
/* AddTraceback.proto */
static void __Pyx_AddTraceback(const char *funcname, int c_line,
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static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags);
static void __Pyx_ReleaseBuffer(Py_buffer *view);
#else
#define __Pyx_GetBuffer PyObject_GetBuffer
#define __Pyx_ReleaseBuffer PyBuffer_Release
#endif
/* BufferStructDeclare.proto */
typedef struct {
Py_ssize_t shape, strides, suboffsets;
} __Pyx_Buf_DimInfo;
typedef struct {
size_t refcount;
Py_buffer pybuffer;
} __Pyx_Buffer;
typedef struct {
__Pyx_Buffer *rcbuffer;
char *data;
__Pyx_Buf_DimInfo diminfo[8];
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/* MemviewSliceIsContig.proto */
static int __pyx_memviewslice_is_contig(const __Pyx_memviewslice mvs, char order, int ndim);
/* OverlappingSlices.proto */
static int __pyx_slices_overlap(__Pyx_memviewslice *slice1,
__Pyx_memviewslice *slice2,
int ndim, size_t itemsize);
/* Capsule.proto */
static CYTHON_INLINE PyObject *__pyx_capsule_create(void *p, const char *sig);
/* IsLittleEndian.proto */
static CYTHON_INLINE int __Pyx_Is_Little_Endian(void);
/* BufferFormatCheck.proto */
static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts);
static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx,
__Pyx_BufFmt_StackElem* stack,
__Pyx_TypeInfo* type);
/* TypeInfoCompare.proto */
static int __pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b);
/* MemviewSliceValidateAndInit.proto */
static int __Pyx_ValidateAndInit_memviewslice(
int *axes_specs,
int c_or_f_flag,
int buf_flags,
int ndim,
__Pyx_TypeInfo *dtype,
__Pyx_BufFmt_StackElem stack[],
__Pyx_memviewslice *memviewslice,
PyObject *original_obj);
/* ObjectToMemviewSlice.proto */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_d_dc_double(PyObject *, int writable_flag);
/* ObjectToMemviewSlice.proto */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsds_double(PyObject *, int writable_flag);
/* ObjectToMemviewSlice.proto */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_int(PyObject *, int writable_flag);
/* MemviewSliceCopyTemplate.proto */
static __Pyx_memviewslice
__pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs,
const char *mode, int ndim,
size_t sizeof_dtype, int contig_flag,
int dtype_is_object);
/* GCCDiagnostics.proto */
#if defined(__GNUC__) && (__GNUC__ > 4 || (__GNUC__ == 4 && __GNUC_MINOR__ >= 6))
#define __Pyx_HAS_GCC_DIAGNOSTIC
#endif
/* CIntFromPy.proto */
static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *);
/* CIntFromPy.proto */
static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *);
/* CIntToPy.proto */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value);
/* CIntToPy.proto */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value);
/* CIntFromPy.proto */
static CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *);
/* CheckBinaryVersion.proto */
static int __Pyx_check_binary_version(void);
/* InitStrings.proto */
static int __Pyx_InitStrings(__Pyx_StringTabEntry *t);
static PyObject *__pyx_array_get_memview(struct __pyx_array_obj *__pyx_v_self); /* proto*/
static char *__pyx_memoryview_get_item_pointer(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index); /* proto*/
static PyObject *__pyx_memoryview_is_slice(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj); /* proto*/
static PyObject *__pyx_memoryview_setitem_slice_assignment(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_dst, PyObject *__pyx_v_src); /* proto*/
static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __pyx_memoryview_obj *__pyx_v_self, struct __pyx_memoryview_obj *__pyx_v_dst, PyObject *__pyx_v_value); /* proto*/
static PyObject *__pyx_memoryview_setitem_indexed(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value); /* proto*/
static PyObject *__pyx_memoryview_convert_item_to_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp); /* proto*/
static PyObject *__pyx_memoryview_assign_item_from_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value); /* proto*/
static PyObject *__pyx_memoryviewslice_convert_item_to_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp); /* proto*/
static PyObject *__pyx_memoryviewslice_assign_item_from_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value); /* proto*/
/* Module declarations from 'libc.math' */
/* Module declarations from 'gensim.models.nmf_pgd' */
static PyTypeObject *__pyx_array_type = 0;
static PyTypeObject *__pyx_MemviewEnum_type = 0;
static PyTypeObject *__pyx_memoryview_type = 0;
static PyTypeObject *__pyx_memoryviewslice_type = 0;
static PyObject *generic = 0;
static PyObject *strided = 0;
static PyObject *indirect = 0;
static PyObject *contiguous = 0;
static PyObject *indirect_contiguous = 0;
static int __pyx_memoryview_thread_locks_used;
static PyThread_type_lock __pyx_memoryview_thread_locks[8];
static double __pyx_f_6gensim_6models_7nmf_pgd_fmin(double, double); /*proto*/
static double __pyx_f_6gensim_6models_7nmf_pgd_fmax(double, double); /*proto*/
static struct __pyx_array_obj *__pyx_array_new(PyObject *, Py_ssize_t, char *, char *, char *); /*proto*/
static void *__pyx_align_pointer(void *, size_t); /*proto*/
static PyObject *__pyx_memoryview_new(PyObject *, int, int, __Pyx_TypeInfo *); /*proto*/
static CYTHON_INLINE int __pyx_memoryview_check(PyObject *); /*proto*/
static PyObject *_unellipsify(PyObject *, int); /*proto*/
static PyObject *assert_direct_dimensions(Py_ssize_t *, int); /*proto*/
static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_obj *, PyObject *); /*proto*/
static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int, int); /*proto*/
static char *__pyx_pybuffer_index(Py_buffer *, char *, Py_ssize_t, Py_ssize_t); /*proto*/
static int __pyx_memslice_transpose(__Pyx_memviewslice *); /*proto*/
static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice, int, PyObject *(*)(char *), int (*)(char *, PyObject *), int); /*proto*/
static __Pyx_memviewslice *__pyx_memoryview_get_slice_from_memoryview(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/
static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/
static PyObject *__pyx_memoryview_copy_object(struct __pyx_memoryview_obj *); /*proto*/
static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/
static Py_ssize_t abs_py_ssize_t(Py_ssize_t); /*proto*/
static char __pyx_get_best_slice_order(__Pyx_memviewslice *, int); /*proto*/
static void _copy_strided_to_strided(char *, Py_ssize_t *, char *, Py_ssize_t *, Py_ssize_t *, Py_ssize_t *, int, size_t); /*proto*/
static void copy_strided_to_strided(__Pyx_memviewslice *, __Pyx_memviewslice *, int, size_t); /*proto*/
static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *, int); /*proto*/
static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *, Py_ssize_t *, Py_ssize_t, int, char); /*proto*/
static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *, __Pyx_memviewslice *, char, int); /*proto*/
static int __pyx_memoryview_err_extents(int, Py_ssize_t, Py_ssize_t); /*proto*/
static int __pyx_memoryview_err_dim(PyObject *, char *, int); /*proto*/
static int __pyx_memoryview_err(PyObject *, char *); /*proto*/
static int __pyx_memoryview_copy_contents(__Pyx_memviewslice, __Pyx_memviewslice, int, int, int); /*proto*/
static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *, int, int); /*proto*/
static void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *, int, int, int); /*proto*/
static void __pyx_memoryview_refcount_objects_in_slice_with_gil(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/
static void __pyx_memoryview_refcount_objects_in_slice(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/
static void __pyx_memoryview_slice_assign_scalar(__Pyx_memviewslice *, int, size_t, void *, int); /*proto*/
static void __pyx_memoryview__slice_assign_scalar(char *, Py_ssize_t *, Py_ssize_t *, int, size_t, void *); /*proto*/
static PyObject *__pyx_unpickle_Enum__set_state(struct __pyx_MemviewEnum_obj *, PyObject *); /*proto*/
static __Pyx_TypeInfo __Pyx_TypeInfo_double = { "double", NULL, sizeof(double), { 0 }, 0, 'R', 0, 0 };
static __Pyx_TypeInfo __Pyx_TypeInfo_int = { "int", NULL, sizeof(int), { 0 }, 0, IS_UNSIGNED(int) ? 'U' : 'I', IS_UNSIGNED(int), 0 };
#define __Pyx_MODULE_NAME "gensim.models.nmf_pgd"
extern int __pyx_module_is_main_gensim__models__nmf_pgd;
int __pyx_module_is_main_gensim__models__nmf_pgd = 0;
/* Implementation of 'gensim.models.nmf_pgd' */
static PyObject *__pyx_builtin_range;
static PyObject *__pyx_builtin_ValueError;
static PyObject *__pyx_builtin_MemoryError;
static PyObject *__pyx_builtin_enumerate;
static PyObject *__pyx_builtin_TypeError;
static PyObject *__pyx_builtin_Ellipsis;
static PyObject *__pyx_builtin_id;
static PyObject *__pyx_builtin_IndexError;
static const char __pyx_k_O[] = "O";
static const char __pyx_k_c[] = "c";
static const char __pyx_k_h[] = "h";
static const char __pyx_k_id[] = "id";
static const char __pyx_k_WtW[] = "WtW";
static const char __pyx_k_Wtv[] = "Wtv";
static const char __pyx_k_new[] = "__new__";
static const char __pyx_k_obj[] = "obj";
static const char __pyx_k_base[] = "base";
static const char __pyx_k_dict[] = "__dict__";
static const char __pyx_k_grad[] = "grad";
static const char __pyx_k_main[] = "__main__";
static const char __pyx_k_mode[] = "mode";
static const char __pyx_k_name[] = "name";
static const char __pyx_k_ndim[] = "ndim";
static const char __pyx_k_pack[] = "pack";
static const char __pyx_k_size[] = "size";
static const char __pyx_k_step[] = "step";
static const char __pyx_k_stop[] = "stop";
static const char __pyx_k_test[] = "__test__";
static const char __pyx_k_ASCII[] = "ASCII";
static const char __pyx_k_class[] = "__class__";
static const char __pyx_k_error[] = "error";
static const char __pyx_k_flags[] = "flags";
static const char __pyx_k_kappa[] = "kappa";
static const char __pyx_k_range[] = "range";
static const char __pyx_k_shape[] = "shape";
static const char __pyx_k_start[] = "start";
static const char __pyx_k_encode[] = "encode";
static const char __pyx_k_format[] = "format";
static const char __pyx_k_import[] = "__import__";
static const char __pyx_k_name_2[] = "__name__";
static const char __pyx_k_pickle[] = "pickle";
static const char __pyx_k_reduce[] = "__reduce__";
static const char __pyx_k_struct[] = "struct";
static const char __pyx_k_unpack[] = "unpack";
static const char __pyx_k_update[] = "update";
static const char __pyx_k_fortran[] = "fortran";
static const char __pyx_k_hessian[] = "hessian";
static const char __pyx_k_memview[] = "memview";
static const char __pyx_k_solve_h[] = "solve_h";
static const char __pyx_k_Ellipsis[] = "Ellipsis";
static const char __pyx_k_getstate[] = "__getstate__";
static const char __pyx_k_itemsize[] = "itemsize";
static const char __pyx_k_pyx_type[] = "__pyx_type";
static const char __pyx_k_setstate[] = "__setstate__";
static const char __pyx_k_TypeError[] = "TypeError";
static const char __pyx_k_enumerate[] = "enumerate";
static const char __pyx_k_n_samples[] = "n_samples";
static const char __pyx_k_pyx_state[] = "__pyx_state";
static const char __pyx_k_reduce_ex[] = "__reduce_ex__";
static const char __pyx_k_violation[] = "violation";
static const char __pyx_k_IndexError[] = "IndexError";
static const char __pyx_k_ValueError[] = "ValueError";
static const char __pyx_k_pyx_result[] = "__pyx_result";
static const char __pyx_k_pyx_vtable[] = "__pyx_vtable__";
static const char __pyx_k_sample_idx[] = "sample_idx";
static const char __pyx_k_MemoryError[] = "MemoryError";
static const char __pyx_k_PickleError[] = "PickleError";
static const char __pyx_k_permutation[] = "permutation";
static const char __pyx_k_n_components[] = "n_components";
static const char __pyx_k_pyx_checksum[] = "__pyx_checksum";
static const char __pyx_k_stringsource[] = "stringsource";
static const char __pyx_k_pyx_getbuffer[] = "__pyx_getbuffer";
static const char __pyx_k_reduce_cython[] = "__reduce_cython__";
static const char __pyx_k_projected_grad[] = "projected_grad";
static const char __pyx_k_View_MemoryView[] = "View.MemoryView";
static const char __pyx_k_allocate_buffer[] = "allocate_buffer";
static const char __pyx_k_component_idx_1[] = "component_idx_1";
static const char __pyx_k_component_idx_2[] = "component_idx_2";
static const char __pyx_k_dtype_is_object[] = "dtype_is_object";
static const char __pyx_k_pyx_PickleError[] = "__pyx_PickleError";
static const char __pyx_k_setstate_cython[] = "__setstate_cython__";
static const char __pyx_k_pyx_unpickle_Enum[] = "__pyx_unpickle_Enum";
static const char __pyx_k_cline_in_traceback[] = "cline_in_traceback";
static const char __pyx_k_strided_and_direct[] = "<strided and direct>";
static const char __pyx_k_strided_and_indirect[] = "<strided and indirect>";
static const char __pyx_k_contiguous_and_direct[] = "<contiguous and direct>";
static const char __pyx_k_gensim_models_nmf_pgd[] = "gensim.models.nmf_pgd";
static const char __pyx_k_MemoryView_of_r_object[] = "<MemoryView of %r object>";
static const char __pyx_k_MemoryView_of_r_at_0x_x[] = "<MemoryView of %r at 0x%x>";
static const char __pyx_k_contiguous_and_indirect[] = "<contiguous and indirect>";
static const char __pyx_k_Cannot_index_with_type_s[] = "Cannot index with type '%s'";
static const char __pyx_k_Invalid_shape_in_axis_d_d[] = "Invalid shape in axis %d: %d.";
static const char __pyx_k_gensim_models_nmf_pgd_pyx[] = "gensim/models/nmf_pgd.pyx";
static const char __pyx_k_itemsize_0_for_cython_array[] = "itemsize <= 0 for cython.array";
static const char __pyx_k_unable_to_allocate_array_data[] = "unable to allocate array data.";
static const char __pyx_k_strided_and_direct_or_indirect[] = "<strided and direct or indirect>";
static const char __pyx_k_Buffer_view_does_not_expose_stri[] = "Buffer view does not expose strides";
static const char __pyx_k_Can_only_create_a_buffer_that_is[] = "Can only create a buffer that is contiguous in memory.";
static const char __pyx_k_Cannot_assign_to_read_only_memor[] = "Cannot assign to read-only memoryview";
static const char __pyx_k_Cannot_create_writable_memory_vi[] = "Cannot create writable memory view from read-only memoryview";
static const char __pyx_k_Empty_shape_tuple_for_cython_arr[] = "Empty shape tuple for cython.array";
static const char __pyx_k_Incompatible_checksums_s_vs_0xb0[] = "Incompatible checksums (%s vs 0xb068931 = (name))";
static const char __pyx_k_Indirect_dimensions_not_supporte[] = "Indirect dimensions not supported";
static const char __pyx_k_Invalid_mode_expected_c_or_fortr[] = "Invalid mode, expected 'c' or 'fortran', got %s";
static const char __pyx_k_Out_of_bounds_on_buffer_access_a[] = "Out of bounds on buffer access (axis %d)";
static const char __pyx_k_Unable_to_convert_item_to_object[] = "Unable to convert item to object";
static const char __pyx_k_got_differing_extents_in_dimensi[] = "got differing extents in dimension %d (got %d and %d)";
static const char __pyx_k_no_default___reduce___due_to_non[] = "no default __reduce__ due to non-trivial __cinit__";
static const char __pyx_k_unable_to_allocate_shape_and_str[] = "unable to allocate shape and strides.";
static PyObject *__pyx_n_s_ASCII;
static PyObject *__pyx_kp_s_Buffer_view_does_not_expose_stri;
static PyObject *__pyx_kp_s_Can_only_create_a_buffer_that_is;
static PyObject *__pyx_kp_s_Cannot_assign_to_read_only_memor;
static PyObject *__pyx_kp_s_Cannot_create_writable_memory_vi;
static PyObject *__pyx_kp_s_Cannot_index_with_type_s;
static PyObject *__pyx_n_s_Ellipsis;
static PyObject *__pyx_kp_s_Empty_shape_tuple_for_cython_arr;
static PyObject *__pyx_kp_s_Incompatible_checksums_s_vs_0xb0;
static PyObject *__pyx_n_s_IndexError;
static PyObject *__pyx_kp_s_Indirect_dimensions_not_supporte;
static PyObject *__pyx_kp_s_Invalid_mode_expected_c_or_fortr;
static PyObject *__pyx_kp_s_Invalid_shape_in_axis_d_d;
static PyObject *__pyx_n_s_MemoryError;
static PyObject *__pyx_kp_s_MemoryView_of_r_at_0x_x;
static PyObject *__pyx_kp_s_MemoryView_of_r_object;
static PyObject *__pyx_n_b_O;
static PyObject *__pyx_kp_s_Out_of_bounds_on_buffer_access_a;
static PyObject *__pyx_n_s_PickleError;
static PyObject *__pyx_n_s_TypeError;
static PyObject *__pyx_kp_s_Unable_to_convert_item_to_object;
static PyObject *__pyx_n_s_ValueError;
static PyObject *__pyx_n_s_View_MemoryView;
static PyObject *__pyx_n_s_WtW;
static PyObject *__pyx_n_s_Wtv;
static PyObject *__pyx_n_s_allocate_buffer;
static PyObject *__pyx_n_s_base;
static PyObject *__pyx_n_s_c;
static PyObject *__pyx_n_u_c;
static PyObject *__pyx_n_s_class;
static PyObject *__pyx_n_s_cline_in_traceback;
static PyObject *__pyx_n_s_component_idx_1;
static PyObject *__pyx_n_s_component_idx_2;
static PyObject *__pyx_kp_s_contiguous_and_direct;
static PyObject *__pyx_kp_s_contiguous_and_indirect;
static PyObject *__pyx_n_s_dict;
static PyObject *__pyx_n_s_dtype_is_object;
static PyObject *__pyx_n_s_encode;
static PyObject *__pyx_n_s_enumerate;
static PyObject *__pyx_n_s_error;
static PyObject *__pyx_n_s_flags;
static PyObject *__pyx_n_s_format;
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static PyObject *__pyx_n_u_fortran;
static PyObject *__pyx_n_s_gensim_models_nmf_pgd;
static PyObject *__pyx_kp_s_gensim_models_nmf_pgd_pyx;
static PyObject *__pyx_n_s_getstate;
static PyObject *__pyx_kp_s_got_differing_extents_in_dimensi;
static PyObject *__pyx_n_s_grad;
static PyObject *__pyx_n_s_h;
static PyObject *__pyx_n_s_hessian;
static PyObject *__pyx_n_s_id;
static PyObject *__pyx_n_s_import;
static PyObject *__pyx_n_s_itemsize;
static PyObject *__pyx_kp_s_itemsize_0_for_cython_array;
static PyObject *__pyx_n_s_kappa;
static PyObject *__pyx_n_s_main;
static PyObject *__pyx_n_s_memview;
static PyObject *__pyx_n_s_mode;
static PyObject *__pyx_n_s_n_components;
static PyObject *__pyx_n_s_n_samples;
static PyObject *__pyx_n_s_name;
static PyObject *__pyx_n_s_name_2;
static PyObject *__pyx_n_s_ndim;
static PyObject *__pyx_n_s_new;
static PyObject *__pyx_kp_s_no_default___reduce___due_to_non;
static PyObject *__pyx_n_s_obj;
static PyObject *__pyx_n_s_pack;
static PyObject *__pyx_n_s_permutation;
static PyObject *__pyx_n_s_pickle;
static PyObject *__pyx_n_s_projected_grad;
static PyObject *__pyx_n_s_pyx_PickleError;
static PyObject *__pyx_n_s_pyx_checksum;
static PyObject *__pyx_n_s_pyx_getbuffer;
static PyObject *__pyx_n_s_pyx_result;
static PyObject *__pyx_n_s_pyx_state;
static PyObject *__pyx_n_s_pyx_type;
static PyObject *__pyx_n_s_pyx_unpickle_Enum;
static PyObject *__pyx_n_s_pyx_vtable;
static PyObject *__pyx_n_s_range;
static PyObject *__pyx_n_s_reduce;
static PyObject *__pyx_n_s_reduce_cython;
static PyObject *__pyx_n_s_reduce_ex;
static PyObject *__pyx_n_s_sample_idx;
static PyObject *__pyx_n_s_setstate;
static PyObject *__pyx_n_s_setstate_cython;
static PyObject *__pyx_n_s_shape;
static PyObject *__pyx_n_s_size;
static PyObject *__pyx_n_s_solve_h;
static PyObject *__pyx_n_s_start;
static PyObject *__pyx_n_s_step;
static PyObject *__pyx_n_s_stop;
static PyObject *__pyx_kp_s_strided_and_direct;
static PyObject *__pyx_kp_s_strided_and_direct_or_indirect;
static PyObject *__pyx_kp_s_strided_and_indirect;
static PyObject *__pyx_kp_s_stringsource;
static PyObject *__pyx_n_s_struct;
static PyObject *__pyx_n_s_test;
static PyObject *__pyx_kp_s_unable_to_allocate_array_data;
static PyObject *__pyx_kp_s_unable_to_allocate_shape_and_str;
static PyObject *__pyx_n_s_unpack;
static PyObject *__pyx_n_s_update;
static PyObject *__pyx_n_s_violation;
static PyObject *__pyx_pf_6gensim_6models_7nmf_pgd_solve_h(CYTHON_UNUSED PyObject *__pyx_self, __Pyx_memviewslice __pyx_v_h, __Pyx_memviewslice __pyx_v_Wtv, __Pyx_memviewslice __pyx_v_WtW, __Pyx_memviewslice __pyx_v_permutation, double __pyx_v_kappa); /* proto */
static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_shape, Py_ssize_t __pyx_v_itemsize, PyObject *__pyx_v_format, PyObject *__pyx_v_mode, int __pyx_v_allocate_buffer); /* proto */
static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(struct __pyx_array_obj *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */
static void __pyx_array___pyx_pf_15View_dot_MemoryView_5array_4__dealloc__(struct __pyx_array_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_5array_7memview___get__(struct __pyx_array_obj *__pyx_v_self); /* proto */
static Py_ssize_t __pyx_array___pyx_pf_15View_dot_MemoryView_5array_6__len__(struct __pyx_array_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_8__getattr__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_attr); /* proto */
static PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_10__getitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item); /* proto */
static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_12__setitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item, PyObject *__pyx_v_value); /* proto */
static PyObject *__pyx_pf___pyx_array___reduce_cython__(CYTHON_UNUSED struct __pyx_array_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf___pyx_array_2__setstate_cython__(CYTHON_UNUSED struct __pyx_array_obj *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v___pyx_state); /* proto */
static int __pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum___init__(struct __pyx_MemviewEnum_obj *__pyx_v_self, PyObject *__pyx_v_name); /* proto */
static PyObject *__pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum_2__repr__(struct __pyx_MemviewEnum_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf___pyx_MemviewEnum___reduce_cython__(struct __pyx_MemviewEnum_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf___pyx_MemviewEnum_2__setstate_cython__(struct __pyx_MemviewEnum_obj *__pyx_v_self, PyObject *__pyx_v___pyx_state); /* proto */
static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj, int __pyx_v_flags, int __pyx_v_dtype_is_object); /* proto */
static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__dealloc__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_4__getitem__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index); /* proto */
static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_6__setitem__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value); /* proto */
static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbuffer__(struct __pyx_memoryview_obj *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_1T___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4base___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_5shape___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_7strides___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_10suboffsets___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4ndim___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_8itemsize___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_6nbytes___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4size___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static Py_ssize_t __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_10__len__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_12__repr__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_14__str__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_16is_c_contig(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_18is_f_contig(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_20copy(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_22copy_fortran(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf___pyx_memoryview___reduce_cython__(CYTHON_UNUSED struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf___pyx_memoryview_2__setstate_cython__(CYTHON_UNUSED struct __pyx_memoryview_obj *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v___pyx_state); /* proto */
static void __pyx_memoryviewslice___pyx_pf_15View_dot_MemoryView_16_memoryviewslice___dealloc__(struct __pyx_memoryviewslice_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_16_memoryviewslice_4base___get__(struct __pyx_memoryviewslice_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf___pyx_memoryviewslice___reduce_cython__(CYTHON_UNUSED struct __pyx_memoryviewslice_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf___pyx_memoryviewslice_2__setstate_cython__(CYTHON_UNUSED struct __pyx_memoryviewslice_obj *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v___pyx_state); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView___pyx_unpickle_Enum(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v___pyx_type, long __pyx_v___pyx_checksum, PyObject *__pyx_v___pyx_state); /* proto */
static PyObject *__pyx_tp_new_array(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new_Enum(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new_memoryview(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new__memoryviewslice(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_int_0;
static PyObject *__pyx_int_1;
static PyObject *__pyx_int_184977713;
static PyObject *__pyx_int_neg_1;
static PyObject *__pyx_tuple_;
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static PyObject *__pyx_tuple__5;
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static PyObject *__pyx_tuple__7;
static PyObject *__pyx_tuple__8;
static PyObject *__pyx_tuple__9;
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static PyObject *__pyx_tuple__10;
static PyObject *__pyx_tuple__11;
static PyObject *__pyx_tuple__12;
static PyObject *__pyx_tuple__13;
static PyObject *__pyx_tuple__14;
static PyObject *__pyx_tuple__16;
static PyObject *__pyx_tuple__17;
static PyObject *__pyx_tuple__18;
static PyObject *__pyx_tuple__19;
static PyObject *__pyx_tuple__21;
static PyObject *__pyx_tuple__22;
static PyObject *__pyx_tuple__23;
static PyObject *__pyx_tuple__24;
static PyObject *__pyx_tuple__25;
static PyObject *__pyx_tuple__26;
static PyObject *__pyx_codeobj__20;
static PyObject *__pyx_codeobj__27;
/* Late includes */
/* "gensim/models/nmf_pgd.pyx":12
* from cython.parallel import prange
*
* cdef double fmin(double x, double y) nogil: # <<<<<<<<<<<<<<
* return x if x < y else y
*
*/
static double __pyx_f_6gensim_6models_7nmf_pgd_fmin(double __pyx_v_x, double __pyx_v_y) {
double __pyx_r;
double __pyx_t_1;
/* "gensim/models/nmf_pgd.pyx":13
*
* cdef double fmin(double x, double y) nogil:
* return x if x < y else y # <<<<<<<<<<<<<<
*
* cdef double fmax(double x, double y) nogil:
*/
if (((__pyx_v_x < __pyx_v_y) != 0)) {
__pyx_t_1 = __pyx_v_x;
} else {
__pyx_t_1 = __pyx_v_y;
}
__pyx_r = __pyx_t_1;
goto __pyx_L0;
/* "gensim/models/nmf_pgd.pyx":12
* from cython.parallel import prange
*
* cdef double fmin(double x, double y) nogil: # <<<<<<<<<<<<<<
* return x if x < y else y
*
*/
/* function exit code */
__pyx_L0:;
return __pyx_r;
}
/* "gensim/models/nmf_pgd.pyx":15
* return x if x < y else y
*
* cdef double fmax(double x, double y) nogil: # <<<<<<<<<<<<<<
* return x if x > y else y
*
*/
static double __pyx_f_6gensim_6models_7nmf_pgd_fmax(double __pyx_v_x, double __pyx_v_y) {
double __pyx_r;
double __pyx_t_1;
/* "gensim/models/nmf_pgd.pyx":16
*
* cdef double fmax(double x, double y) nogil:
* return x if x > y else y # <<<<<<<<<<<<<<
*
* def solve_h(double[:, ::1] h, double[:, :] Wtv, double[:, ::1] WtW, int[::1] permutation, double kappa):
*/
if (((__pyx_v_x > __pyx_v_y) != 0)) {
__pyx_t_1 = __pyx_v_x;
} else {
__pyx_t_1 = __pyx_v_y;
}
__pyx_r = __pyx_t_1;
goto __pyx_L0;
/* "gensim/models/nmf_pgd.pyx":15
* return x if x < y else y
*
* cdef double fmax(double x, double y) nogil: # <<<<<<<<<<<<<<
* return x if x > y else y
*
*/
/* function exit code */
__pyx_L0:;
return __pyx_r;
}
/* "gensim/models/nmf_pgd.pyx":18
* return x if x > y else y
*
* def solve_h(double[:, ::1] h, double[:, :] Wtv, double[:, ::1] WtW, int[::1] permutation, double kappa): # <<<<<<<<<<<<<<
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*
*/
/* Python wrapper */
static PyObject *__pyx_pw_6gensim_6models_7nmf_pgd_1solve_h(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static char __pyx_doc_6gensim_6models_7nmf_pgd_solve_h[] = "solve_h(double[:, ::1] h, double[:, :] Wtv, double[:, ::1] WtW, int[::1] permutation, double kappa)\nFind optimal dense vector representation for current W and r matrices.\n\n Parameters\n ----------\n h : matrix\n Dense representation of documents in current batch.\n Wtv : matrix\n WtW : matrix\n\n Returns\n -------\n float\n Cumulative difference between previous and current h vectors.\n\n ";
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__Pyx_memviewslice __pyx_v_h = { 0, 0, { 0 }, { 0 }, { 0 } };
__Pyx_memviewslice __pyx_v_Wtv = { 0, 0, { 0 }, { 0 }, { 0 } };
__Pyx_memviewslice __pyx_v_WtW = { 0, 0, { 0 }, { 0 }, { 0 } };
__Pyx_memviewslice __pyx_v_permutation = { 0, 0, { 0 }, { 0 }, { 0 } };
double __pyx_v_kappa;
int __pyx_lineno = 0;
const char *__pyx_filename = NULL;
int __pyx_clineno = 0;
PyObject *__pyx_r = 0;
__Pyx_RefNannyDeclarations
__Pyx_RefNannySetupContext("solve_h (wrapper)", 0);
{
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PyObject* values[5] = {0,0,0,0,0};
if (unlikely(__pyx_kwds)) {
Py_ssize_t kw_args;
const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
switch (pos_args) {
case 5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4);
CYTHON_FALLTHROUGH;
case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
CYTHON_FALLTHROUGH;
case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
CYTHON_FALLTHROUGH;
case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
CYTHON_FALLTHROUGH;
case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
CYTHON_FALLTHROUGH;
case 0: break;
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}
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switch (pos_args) {
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if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_h)) != 0)) kw_args--;
else goto __pyx_L5_argtuple_error;
CYTHON_FALLTHROUGH;
case 1:
if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_Wtv)) != 0)) kw_args--;
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CYTHON_FALLTHROUGH;
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CYTHON_FALLTHROUGH;
case 4:
if (likely((values[4] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_kappa)) != 0)) kw_args--;
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*/
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*
*
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*/
(void)(memset((&__pyx_v_dst), 0, (sizeof(__pyx_v_dst))));
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if (unlikely(!Py_OptimizeFlag)) {
if (unlikely(!((__pyx_v_memview->view.ndim > 0) != 0))) {
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__PYX_ERR(1, 722, __pyx_L1_error)
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/* "View.MemoryView":725
*
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goto __pyx_L3;
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/* "View.MemoryView":728
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/* "View.MemoryView":729
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*
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*
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/* "View.MemoryView":741
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* cdef Py_ssize_t start, stop, step
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/* "View.MemoryView":746
* cdef bint have_start, have_stop, have_step
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PyObject* exc_type = PyErr_Occurred();
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/* "View.MemoryView":747
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/* "View.MemoryView":751
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/* "View.MemoryView":748
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/* "View.MemoryView":747
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goto __pyx_L6;
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/* "View.MemoryView":754
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/* "View.MemoryView":776
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/* "View.MemoryView":782
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/* "View.MemoryView":782
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/* "View.MemoryView":710
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/* function exit code */
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__Pyx_XDECREF(__pyx_t_3);
__Pyx_XDECREF(__pyx_t_9);
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/* "View.MemoryView":807
*
* @cname('__pyx_memoryview_slice_memviewslice')
* cdef int slice_memviewslice( # <<<<<<<<<<<<<<
* __Pyx_memviewslice *dst,
* Py_ssize_t shape, Py_ssize_t stride, Py_ssize_t suboffset,
*/
static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, Py_ssize_t __pyx_v_shape, Py_ssize_t __pyx_v_stride, Py_ssize_t __pyx_v_suboffset, int __pyx_v_dim, int __pyx_v_new_ndim, int *__pyx_v_suboffset_dim, Py_ssize_t __pyx_v_start, Py_ssize_t __pyx_v_stop, Py_ssize_t __pyx_v_step, int __pyx_v_have_start, int __pyx_v_have_stop, int __pyx_v_have_step, int __pyx_v_is_slice) {
Py_ssize_t __pyx_v_new_shape;
int __pyx_v_negative_step;
int __pyx_r;
int __pyx_t_1;
int __pyx_t_2;
int __pyx_t_3;
int __pyx_lineno = 0;
const char *__pyx_filename = NULL;
int __pyx_clineno = 0;
/* "View.MemoryView":827
* cdef bint negative_step
*
* if not is_slice: # <<<<<<<<<<<<<<
*
* if start < 0:
*/
__pyx_t_1 = ((!(__pyx_v_is_slice != 0)) != 0);
if (__pyx_t_1) {
/* "View.MemoryView":829
* if not is_slice:
*
* if start < 0: # <<<<<<<<<<<<<<
* start += shape
* if not 0 <= start < shape:
*/
__pyx_t_1 = ((__pyx_v_start < 0) != 0);
if (__pyx_t_1) {
/* "View.MemoryView":830
*
* if start < 0:
* start += shape # <<<<<<<<<<<<<<
* if not 0 <= start < shape:
* _err_dim(IndexError, "Index out of bounds (axis %d)", dim)
*/
__pyx_v_start = (__pyx_v_start + __pyx_v_shape);
/* "View.MemoryView":829
* if not is_slice:
*
* if start < 0: # <<<<<<<<<<<<<<
* start += shape
* if not 0 <= start < shape:
*/
}
/* "View.MemoryView":831
* if start < 0:
* start += shape
* if not 0 <= start < shape: # <<<<<<<<<<<<<<
* _err_dim(IndexError, "Index out of bounds (axis %d)", dim)
* else:
*/
__pyx_t_1 = (0 <= __pyx_v_start);
if (__pyx_t_1) {
__pyx_t_1 = (__pyx_v_start < __pyx_v_shape);
}
__pyx_t_2 = ((!(__pyx_t_1 != 0)) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":832
* start += shape
* if not 0 <= start < shape:
* _err_dim(IndexError, "Index out of bounds (axis %d)", dim) # <<<<<<<<<<<<<<
* else:
*
*/
__pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_IndexError, ((char *)"Index out of bounds (axis %d)"), __pyx_v_dim); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(1, 832, __pyx_L1_error)
/* "View.MemoryView":831
* if start < 0:
* start += shape
* if not 0 <= start < shape: # <<<<<<<<<<<<<<
* _err_dim(IndexError, "Index out of bounds (axis %d)", dim)
* else:
*/
}
/* "View.MemoryView":827
* cdef bint negative_step
*
* if not is_slice: # <<<<<<<<<<<<<<
*
* if start < 0:
*/
goto __pyx_L3;
}
/* "View.MemoryView":835
* else:
*
* negative_step = have_step != 0 and step < 0 # <<<<<<<<<<<<<<
*
* if have_step and step == 0:
*/
/*else*/ {
__pyx_t_1 = ((__pyx_v_have_step != 0) != 0);
if (__pyx_t_1) {
} else {
__pyx_t_2 = __pyx_t_1;
goto __pyx_L6_bool_binop_done;
}
__pyx_t_1 = ((__pyx_v_step < 0) != 0);
__pyx_t_2 = __pyx_t_1;
__pyx_L6_bool_binop_done:;
__pyx_v_negative_step = __pyx_t_2;
/* "View.MemoryView":837
* negative_step = have_step != 0 and step < 0
*
* if have_step and step == 0: # <<<<<<<<<<<<<<
* _err_dim(ValueError, "Step may not be zero (axis %d)", dim)
*
*/
__pyx_t_1 = (__pyx_v_have_step != 0);
if (__pyx_t_1) {
} else {
__pyx_t_2 = __pyx_t_1;
goto __pyx_L9_bool_binop_done;
}
__pyx_t_1 = ((__pyx_v_step == 0) != 0);
__pyx_t_2 = __pyx_t_1;
__pyx_L9_bool_binop_done:;
if (__pyx_t_2) {
/* "View.MemoryView":838
*
* if have_step and step == 0:
* _err_dim(ValueError, "Step may not be zero (axis %d)", dim) # <<<<<<<<<<<<<<
*
*
*/
__pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_ValueError, ((char *)"Step may not be zero (axis %d)"), __pyx_v_dim); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(1, 838, __pyx_L1_error)
/* "View.MemoryView":837
* negative_step = have_step != 0 and step < 0
*
* if have_step and step == 0: # <<<<<<<<<<<<<<
* _err_dim(ValueError, "Step may not be zero (axis %d)", dim)
*
*/
}
/* "View.MemoryView":841
*
*
* if have_start: # <<<<<<<<<<<<<<
* if start < 0:
* start += shape
*/
__pyx_t_2 = (__pyx_v_have_start != 0);
if (__pyx_t_2) {
/* "View.MemoryView":842
*
* if have_start:
* if start < 0: # <<<<<<<<<<<<<<
* start += shape
* if start < 0:
*/
__pyx_t_2 = ((__pyx_v_start < 0) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":843
* if have_start:
* if start < 0:
* start += shape # <<<<<<<<<<<<<<
* if start < 0:
* start = 0
*/
__pyx_v_start = (__pyx_v_start + __pyx_v_shape);
/* "View.MemoryView":844
* if start < 0:
* start += shape
* if start < 0: # <<<<<<<<<<<<<<
* start = 0
* elif start >= shape:
*/
__pyx_t_2 = ((__pyx_v_start < 0) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":845
* start += shape
* if start < 0:
* start = 0 # <<<<<<<<<<<<<<
* elif start >= shape:
* if negative_step:
*/
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/* "View.MemoryView":844
* if start < 0:
* start += shape
* if start < 0: # <<<<<<<<<<<<<<
* start = 0
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*/
}
/* "View.MemoryView":842
*
* if have_start:
* if start < 0: # <<<<<<<<<<<<<<
* start += shape
* if start < 0:
*/
goto __pyx_L12;
}
/* "View.MemoryView":846
* if start < 0:
* start = 0
* elif start >= shape: # <<<<<<<<<<<<<<
* if negative_step:
* start = shape - 1
*/
__pyx_t_2 = ((__pyx_v_start >= __pyx_v_shape) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":847
* start = 0
* elif start >= shape:
* if negative_step: # <<<<<<<<<<<<<<
* start = shape - 1
* else:
*/
__pyx_t_2 = (__pyx_v_negative_step != 0);
if (__pyx_t_2) {
/* "View.MemoryView":848
* elif start >= shape:
* if negative_step:
* start = shape - 1 # <<<<<<<<<<<<<<
* else:
* start = shape
*/
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/* "View.MemoryView":847
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* if negative_step: # <<<<<<<<<<<<<<
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*/
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/* "View.MemoryView":850
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* else:
* start = shape # <<<<<<<<<<<<<<
* else:
* if negative_step:
*/
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__pyx_v_start = __pyx_v_shape;
}
__pyx_L14:;
/* "View.MemoryView":846
* if start < 0:
* start = 0
* elif start >= shape: # <<<<<<<<<<<<<<
* if negative_step:
* start = shape - 1
*/
}
__pyx_L12:;
/* "View.MemoryView":841
*
*
* if have_start: # <<<<<<<<<<<<<<
* if start < 0:
* start += shape
*/
goto __pyx_L11;
}
/* "View.MemoryView":852
* start = shape
* else:
* if negative_step: # <<<<<<<<<<<<<<
* start = shape - 1
* else:
*/
/*else*/ {
__pyx_t_2 = (__pyx_v_negative_step != 0);
if (__pyx_t_2) {
/* "View.MemoryView":853
* else:
* if negative_step:
* start = shape - 1 # <<<<<<<<<<<<<<
* else:
* start = 0
*/
__pyx_v_start = (__pyx_v_shape - 1);
/* "View.MemoryView":852
* start = shape
* else:
* if negative_step: # <<<<<<<<<<<<<<
* start = shape - 1
* else:
*/
goto __pyx_L15;
}
/* "View.MemoryView":855
* start = shape - 1
* else:
* start = 0 # <<<<<<<<<<<<<<
*
* if have_stop:
*/
/*else*/ {
__pyx_v_start = 0;
}
__pyx_L15:;
}
__pyx_L11:;
/* "View.MemoryView":857
* start = 0
*
* if have_stop: # <<<<<<<<<<<<<<
* if stop < 0:
* stop += shape
*/
__pyx_t_2 = (__pyx_v_have_stop != 0);
if (__pyx_t_2) {
/* "View.MemoryView":858
*
* if have_stop:
* if stop < 0: # <<<<<<<<<<<<<<
* stop += shape
* if stop < 0:
*/
__pyx_t_2 = ((__pyx_v_stop < 0) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":859
* if have_stop:
* if stop < 0:
* stop += shape # <<<<<<<<<<<<<<
* if stop < 0:
* stop = 0
*/
__pyx_v_stop = (__pyx_v_stop + __pyx_v_shape);
/* "View.MemoryView":860
* if stop < 0:
* stop += shape
* if stop < 0: # <<<<<<<<<<<<<<
* stop = 0
* elif stop > shape:
*/
__pyx_t_2 = ((__pyx_v_stop < 0) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":861
* stop += shape
* if stop < 0:
* stop = 0 # <<<<<<<<<<<<<<
* elif stop > shape:
* stop = shape
*/
__pyx_v_stop = 0;
/* "View.MemoryView":860
* if stop < 0:
* stop += shape
* if stop < 0: # <<<<<<<<<<<<<<
* stop = 0
* elif stop > shape:
*/
}
/* "View.MemoryView":858
*
* if have_stop:
* if stop < 0: # <<<<<<<<<<<<<<
* stop += shape
* if stop < 0:
*/
goto __pyx_L17;
}
/* "View.MemoryView":862
* if stop < 0:
* stop = 0
* elif stop > shape: # <<<<<<<<<<<<<<
* stop = shape
* else:
*/
__pyx_t_2 = ((__pyx_v_stop > __pyx_v_shape) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":863
* stop = 0
* elif stop > shape:
* stop = shape # <<<<<<<<<<<<<<
* else:
* if negative_step:
*/
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/* "View.MemoryView":862
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* else:
*/
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__pyx_L17:;
/* "View.MemoryView":857
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*
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* if stop < 0:
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*/
goto __pyx_L16;
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/* "View.MemoryView":865
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* if negative_step: # <<<<<<<<<<<<<<
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* else:
*/
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__pyx_t_2 = (__pyx_v_negative_step != 0);
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/* "View.MemoryView":866
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* else:
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/* "View.MemoryView":865
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* else:
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* else:
*/
goto __pyx_L19;
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/* "View.MemoryView":868
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__pyx_L19:;
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__pyx_L16:;
/* "View.MemoryView":870
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* if not have_step: # <<<<<<<<<<<<<<
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*/
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/* "View.MemoryView":871
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*
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/* "View.MemoryView":870
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*/
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/* "View.MemoryView":875
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*/
__pyx_v_new_shape = ((__pyx_v_stop - __pyx_v_start) / __pyx_v_step);
/* "View.MemoryView":877
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*
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* new_shape += 1
*
*/
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if (__pyx_t_2) {
/* "View.MemoryView":878
*
* if (stop - start) - step * new_shape:
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*
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*/
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/* "View.MemoryView":877
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*
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/* "View.MemoryView":880
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/* "View.MemoryView":881
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*
*/
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/* "View.MemoryView":880
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/* "View.MemoryView":884
*
*
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*/
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/* "View.MemoryView":885
*
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*
*/
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/* "View.MemoryView":886
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*
*
*/
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/* "View.MemoryView":889
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*
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/* "View.MemoryView":890
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*/
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/* "View.MemoryView":889
*
*
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goto __pyx_L23;
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/* "View.MemoryView":892
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*
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*/
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__pyx_L23:;
/* "View.MemoryView":894
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*
* if suboffset >= 0: # <<<<<<<<<<<<<<
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*/
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/* "View.MemoryView":895
*
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* if not is_slice: # <<<<<<<<<<<<<<
* if new_ndim == 0:
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*/
__pyx_t_2 = ((!(__pyx_v_is_slice != 0)) != 0);
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/* "View.MemoryView":896
* if suboffset >= 0:
* if not is_slice:
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* else:
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__pyx_t_2 = ((__pyx_v_new_ndim == 0) != 0);
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/* "View.MemoryView":897
* if not is_slice:
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__pyx_v_dst->data = ((((char **)__pyx_v_dst->data)[0]) + __pyx_v_suboffset);
/* "View.MemoryView":896
* if suboffset >= 0:
* if not is_slice:
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goto __pyx_L26;
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/* "View.MemoryView":899
* dst.data = (<char **> dst.data)[0] + suboffset
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* _err_dim(IndexError, "All dimensions preceding dimension %d " # <<<<<<<<<<<<<<
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* else:
*/
/*else*/ {
/* "View.MemoryView":900
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__pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_IndexError, ((char *)"All dimensions preceding dimension %d must be indexed and not sliced"), __pyx_v_dim); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(1, 899, __pyx_L1_error)
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__pyx_L26:;
/* "View.MemoryView":895
*
* if suboffset >= 0:
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*/
goto __pyx_L25;
}
/* "View.MemoryView":902
* "must be indexed and not sliced", dim)
* else:
* suboffset_dim[0] = new_ndim # <<<<<<<<<<<<<<
*
* return 0
*/
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(__pyx_v_suboffset_dim[0]) = __pyx_v_new_ndim;
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__pyx_L25:;
/* "View.MemoryView":894
* dst.suboffsets[suboffset_dim[0]] += start * stride
*
* if suboffset >= 0: # <<<<<<<<<<<<<<
* if not is_slice:
* if new_ndim == 0:
*/
}
/* "View.MemoryView":904
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*
* return 0 # <<<<<<<<<<<<<<
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*
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goto __pyx_L0;
/* "View.MemoryView":807
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* __Pyx_memviewslice *dst,
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*/
__pyx_v_f_stride = (__pyx_v_mslice->strides[__pyx_v_i]);
/* "View.MemoryView":1132
* if mslice.shape[i] > 1:
* f_stride = mslice.strides[i]
* break # <<<<<<<<<<<<<<
*
* if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride):
*/
goto __pyx_L7_break;
/* "View.MemoryView":1130
*
* for i in range(ndim):
* if mslice.shape[i] > 1: # <<<<<<<<<<<<<<
* f_stride = mslice.strides[i]
* break
*/
}
}
__pyx_L7_break:;
/* "View.MemoryView":1134
* break
*
* if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): # <<<<<<<<<<<<<<
* return 'C'
* else:
*/
__pyx_t_2 = ((abs_py_ssize_t(__pyx_v_c_stride) <= abs_py_ssize_t(__pyx_v_f_stride)) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1135
*
* if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride):
* return 'C' # <<<<<<<<<<<<<<
* else:
* return 'F'
*/
__pyx_r = 'C';
goto __pyx_L0;
/* "View.MemoryView":1134
* break
*
* if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): # <<<<<<<<<<<<<<
* return 'C'
* else:
*/
}
/* "View.MemoryView":1137
* return 'C'
* else:
* return 'F' # <<<<<<<<<<<<<<
*
* @cython.cdivision(True)
*/
/*else*/ {
__pyx_r = 'F';
goto __pyx_L0;
}
/* "View.MemoryView":1116
*
* @cname('__pyx_get_best_slice_order')
* cdef char get_best_order(__Pyx_memviewslice *mslice, int ndim) nogil: # <<<<<<<<<<<<<<
* """
* Figure out the best memory access order for a given slice.
*/
/* function exit code */
__pyx_L0:;
return __pyx_r;
}
/* "View.MemoryView":1140
*
* @cython.cdivision(True)
* cdef void _copy_strided_to_strided(char *src_data, Py_ssize_t *src_strides, # <<<<<<<<<<<<<<
* char *dst_data, Py_ssize_t *dst_strides,
* Py_ssize_t *src_shape, Py_ssize_t *dst_shape,
*/
static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v_src_strides, char *__pyx_v_dst_data, Py_ssize_t *__pyx_v_dst_strides, Py_ssize_t *__pyx_v_src_shape, Py_ssize_t *__pyx_v_dst_shape, int __pyx_v_ndim, size_t __pyx_v_itemsize) {
CYTHON_UNUSED Py_ssize_t __pyx_v_i;
CYTHON_UNUSED Py_ssize_t __pyx_v_src_extent;
Py_ssize_t __pyx_v_dst_extent;
Py_ssize_t __pyx_v_src_stride;
Py_ssize_t __pyx_v_dst_stride;
int __pyx_t_1;
int __pyx_t_2;
int __pyx_t_3;
Py_ssize_t __pyx_t_4;
Py_ssize_t __pyx_t_5;
Py_ssize_t __pyx_t_6;
/* "View.MemoryView":1147
*
* cdef Py_ssize_t i
* cdef Py_ssize_t src_extent = src_shape[0] # <<<<<<<<<<<<<<
* cdef Py_ssize_t dst_extent = dst_shape[0]
* cdef Py_ssize_t src_stride = src_strides[0]
*/
__pyx_v_src_extent = (__pyx_v_src_shape[0]);
/* "View.MemoryView":1148
* cdef Py_ssize_t i
* cdef Py_ssize_t src_extent = src_shape[0]
* cdef Py_ssize_t dst_extent = dst_shape[0] # <<<<<<<<<<<<<<
* cdef Py_ssize_t src_stride = src_strides[0]
* cdef Py_ssize_t dst_stride = dst_strides[0]
*/
__pyx_v_dst_extent = (__pyx_v_dst_shape[0]);
/* "View.MemoryView":1149
* cdef Py_ssize_t src_extent = src_shape[0]
* cdef Py_ssize_t dst_extent = dst_shape[0]
* cdef Py_ssize_t src_stride = src_strides[0] # <<<<<<<<<<<<<<
* cdef Py_ssize_t dst_stride = dst_strides[0]
*
*/
__pyx_v_src_stride = (__pyx_v_src_strides[0]);
/* "View.MemoryView":1150
* cdef Py_ssize_t dst_extent = dst_shape[0]
* cdef Py_ssize_t src_stride = src_strides[0]
* cdef Py_ssize_t dst_stride = dst_strides[0] # <<<<<<<<<<<<<<
*
* if ndim == 1:
*/
__pyx_v_dst_stride = (__pyx_v_dst_strides[0]);
/* "View.MemoryView":1152
* cdef Py_ssize_t dst_stride = dst_strides[0]
*
* if ndim == 1: # <<<<<<<<<<<<<<
* if (src_stride > 0 and dst_stride > 0 and
* <size_t> src_stride == itemsize == <size_t> dst_stride):
*/
__pyx_t_1 = ((__pyx_v_ndim == 1) != 0);
if (__pyx_t_1) {
/* "View.MemoryView":1153
*
* if ndim == 1:
* if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<<
* <size_t> src_stride == itemsize == <size_t> dst_stride):
* memcpy(dst_data, src_data, itemsize * dst_extent)
*/
__pyx_t_2 = ((__pyx_v_src_stride > 0) != 0);
if (__pyx_t_2) {
} else {
__pyx_t_1 = __pyx_t_2;
goto __pyx_L5_bool_binop_done;
}
__pyx_t_2 = ((__pyx_v_dst_stride > 0) != 0);
if (__pyx_t_2) {
} else {
__pyx_t_1 = __pyx_t_2;
goto __pyx_L5_bool_binop_done;
}
/* "View.MemoryView":1154
* if ndim == 1:
* if (src_stride > 0 and dst_stride > 0 and
* <size_t> src_stride == itemsize == <size_t> dst_stride): # <<<<<<<<<<<<<<
* memcpy(dst_data, src_data, itemsize * dst_extent)
* else:
*/
__pyx_t_2 = (((size_t)__pyx_v_src_stride) == __pyx_v_itemsize);
if (__pyx_t_2) {
__pyx_t_2 = (__pyx_v_itemsize == ((size_t)__pyx_v_dst_stride));
}
__pyx_t_3 = (__pyx_t_2 != 0);
__pyx_t_1 = __pyx_t_3;
__pyx_L5_bool_binop_done:;
/* "View.MemoryView":1153
*
* if ndim == 1:
* if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<<
* <size_t> src_stride == itemsize == <size_t> dst_stride):
* memcpy(dst_data, src_data, itemsize * dst_extent)
*/
if (__pyx_t_1) {
/* "View.MemoryView":1155
* if (src_stride > 0 and dst_stride > 0 and
* <size_t> src_stride == itemsize == <size_t> dst_stride):
* memcpy(dst_data, src_data, itemsize * dst_extent) # <<<<<<<<<<<<<<
* else:
* for i in range(dst_extent):
*/
(void)(memcpy(__pyx_v_dst_data, __pyx_v_src_data, (__pyx_v_itemsize * __pyx_v_dst_extent)));
/* "View.MemoryView":1153
*
* if ndim == 1:
* if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<<
* <size_t> src_stride == itemsize == <size_t> dst_stride):
* memcpy(dst_data, src_data, itemsize * dst_extent)
*/
goto __pyx_L4;
}
/* "View.MemoryView":1157
* memcpy(dst_data, src_data, itemsize * dst_extent)
* else:
* for i in range(dst_extent): # <<<<<<<<<<<<<<
* memcpy(dst_data, src_data, itemsize)
* src_data += src_stride
*/
/*else*/ {
__pyx_t_4 = __pyx_v_dst_extent;
__pyx_t_5 = __pyx_t_4;
for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {
__pyx_v_i = __pyx_t_6;
/* "View.MemoryView":1158
* else:
* for i in range(dst_extent):
* memcpy(dst_data, src_data, itemsize) # <<<<<<<<<<<<<<
* src_data += src_stride
* dst_data += dst_stride
*/
(void)(memcpy(__pyx_v_dst_data, __pyx_v_src_data, __pyx_v_itemsize));
/* "View.MemoryView":1159
* for i in range(dst_extent):
* memcpy(dst_data, src_data, itemsize)
* src_data += src_stride # <<<<<<<<<<<<<<
* dst_data += dst_stride
* else:
*/
__pyx_v_src_data = (__pyx_v_src_data + __pyx_v_src_stride);
/* "View.MemoryView":1160
* memcpy(dst_data, src_data, itemsize)
* src_data += src_stride
* dst_data += dst_stride # <<<<<<<<<<<<<<
* else:
* for i in range(dst_extent):
*/
__pyx_v_dst_data = (__pyx_v_dst_data + __pyx_v_dst_stride);
}
}
__pyx_L4:;
/* "View.MemoryView":1152
* cdef Py_ssize_t dst_stride = dst_strides[0]
*
* if ndim == 1: # <<<<<<<<<<<<<<
* if (src_stride > 0 and dst_stride > 0 and
* <size_t> src_stride == itemsize == <size_t> dst_stride):
*/
goto __pyx_L3;
}
/* "View.MemoryView":1162
* dst_data += dst_stride
* else:
* for i in range(dst_extent): # <<<<<<<<<<<<<<
* _copy_strided_to_strided(src_data, src_strides + 1,
* dst_data, dst_strides + 1,
*/
/*else*/ {
__pyx_t_4 = __pyx_v_dst_extent;
__pyx_t_5 = __pyx_t_4;
for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {
__pyx_v_i = __pyx_t_6;
/* "View.MemoryView":1163
* else:
* for i in range(dst_extent):
* _copy_strided_to_strided(src_data, src_strides + 1, # <<<<<<<<<<<<<<
* dst_data, dst_strides + 1,
* src_shape + 1, dst_shape + 1,
*/
_copy_strided_to_strided(__pyx_v_src_data, (__pyx_v_src_strides + 1), __pyx_v_dst_data, (__pyx_v_dst_strides + 1), (__pyx_v_src_shape + 1), (__pyx_v_dst_shape + 1), (__pyx_v_ndim - 1), __pyx_v_itemsize);
/* "View.MemoryView":1167
* src_shape + 1, dst_shape + 1,
* ndim - 1, itemsize)
* src_data += src_stride # <<<<<<<<<<<<<<
* dst_data += dst_stride
*
*/
__pyx_v_src_data = (__pyx_v_src_data + __pyx_v_src_stride);
/* "View.MemoryView":1168
* ndim - 1, itemsize)
* src_data += src_stride
* dst_data += dst_stride # <<<<<<<<<<<<<<
*
* cdef void copy_strided_to_strided(__Pyx_memviewslice *src,
*/
__pyx_v_dst_data = (__pyx_v_dst_data + __pyx_v_dst_stride);
}
}
__pyx_L3:;
/* "View.MemoryView":1140
*
* @cython.cdivision(True)
* cdef void _copy_strided_to_strided(char *src_data, Py_ssize_t *src_strides, # <<<<<<<<<<<<<<
* char *dst_data, Py_ssize_t *dst_strides,
* Py_ssize_t *src_shape, Py_ssize_t *dst_shape,
*/
/* function exit code */
}
/* "View.MemoryView":1170
* dst_data += dst_stride
*
* cdef void copy_strided_to_strided(__Pyx_memviewslice *src, # <<<<<<<<<<<<<<
* __Pyx_memviewslice *dst,
* int ndim, size_t itemsize) nogil:
*/
static void copy_strided_to_strided(__Pyx_memviewslice *__pyx_v_src, __Pyx_memviewslice *__pyx_v_dst, int __pyx_v_ndim, size_t __pyx_v_itemsize) {
/* "View.MemoryView":1173
* __Pyx_memviewslice *dst,
* int ndim, size_t itemsize) nogil:
* _copy_strided_to_strided(src.data, src.strides, dst.data, dst.strides, # <<<<<<<<<<<<<<
* src.shape, dst.shape, ndim, itemsize)
*
*/
_copy_strided_to_strided(__pyx_v_src->data, __pyx_v_src->strides, __pyx_v_dst->data, __pyx_v_dst->strides, __pyx_v_src->shape, __pyx_v_dst->shape, __pyx_v_ndim, __pyx_v_itemsize);
/* "View.MemoryView":1170
* dst_data += dst_stride
*
* cdef void copy_strided_to_strided(__Pyx_memviewslice *src, # <<<<<<<<<<<<<<
* __Pyx_memviewslice *dst,
* int ndim, size_t itemsize) nogil:
*/
/* function exit code */
}
/* "View.MemoryView":1177
*
* @cname('__pyx_memoryview_slice_get_size')
* cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) nogil: # <<<<<<<<<<<<<<
* "Return the size of the memory occupied by the slice in number of bytes"
* cdef Py_ssize_t shape, size = src.memview.view.itemsize
*/
static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *__pyx_v_src, int __pyx_v_ndim) {
Py_ssize_t __pyx_v_shape;
Py_ssize_t __pyx_v_size;
Py_ssize_t __pyx_r;
Py_ssize_t __pyx_t_1;
Py_ssize_t *__pyx_t_2;
Py_ssize_t *__pyx_t_3;
Py_ssize_t *__pyx_t_4;
/* "View.MemoryView":1179
* cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) nogil:
* "Return the size of the memory occupied by the slice in number of bytes"
* cdef Py_ssize_t shape, size = src.memview.view.itemsize # <<<<<<<<<<<<<<
*
* for shape in src.shape[:ndim]:
*/
__pyx_t_1 = __pyx_v_src->memview->view.itemsize;
__pyx_v_size = __pyx_t_1;
/* "View.MemoryView":1181
* cdef Py_ssize_t shape, size = src.memview.view.itemsize
*
* for shape in src.shape[:ndim]: # <<<<<<<<<<<<<<
* size *= shape
*
*/
__pyx_t_3 = (__pyx_v_src->shape + __pyx_v_ndim);
for (__pyx_t_4 = __pyx_v_src->shape; __pyx_t_4 < __pyx_t_3; __pyx_t_4++) {
__pyx_t_2 = __pyx_t_4;
__pyx_v_shape = (__pyx_t_2[0]);
/* "View.MemoryView":1182
*
* for shape in src.shape[:ndim]:
* size *= shape # <<<<<<<<<<<<<<
*
* return size
*/
__pyx_v_size = (__pyx_v_size * __pyx_v_shape);
}
/* "View.MemoryView":1184
* size *= shape
*
* return size # <<<<<<<<<<<<<<
*
* @cname('__pyx_fill_contig_strides_array')
*/
__pyx_r = __pyx_v_size;
goto __pyx_L0;
/* "View.MemoryView":1177
*
* @cname('__pyx_memoryview_slice_get_size')
* cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) nogil: # <<<<<<<<<<<<<<
* "Return the size of the memory occupied by the slice in number of bytes"
* cdef Py_ssize_t shape, size = src.memview.view.itemsize
*/
/* function exit code */
__pyx_L0:;
return __pyx_r;
}
/* "View.MemoryView":1187
*
* @cname('__pyx_fill_contig_strides_array')
* cdef Py_ssize_t fill_contig_strides_array( # <<<<<<<<<<<<<<
* Py_ssize_t *shape, Py_ssize_t *strides, Py_ssize_t stride,
* int ndim, char order) nogil:
*/
static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, Py_ssize_t __pyx_v_stride, int __pyx_v_ndim, char __pyx_v_order) {
int __pyx_v_idx;
Py_ssize_t __pyx_r;
int __pyx_t_1;
int __pyx_t_2;
int __pyx_t_3;
int __pyx_t_4;
/* "View.MemoryView":1196
* cdef int idx
*
* if order == 'F': # <<<<<<<<<<<<<<
* for idx in range(ndim):
* strides[idx] = stride
*/
__pyx_t_1 = ((__pyx_v_order == 'F') != 0);
if (__pyx_t_1) {
/* "View.MemoryView":1197
*
* if order == 'F':
* for idx in range(ndim): # <<<<<<<<<<<<<<
* strides[idx] = stride
* stride *= shape[idx]
*/
__pyx_t_2 = __pyx_v_ndim;
__pyx_t_3 = __pyx_t_2;
for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) {
__pyx_v_idx = __pyx_t_4;
/* "View.MemoryView":1198
* if order == 'F':
* for idx in range(ndim):
* strides[idx] = stride # <<<<<<<<<<<<<<
* stride *= shape[idx]
* else:
*/
(__pyx_v_strides[__pyx_v_idx]) = __pyx_v_stride;
/* "View.MemoryView":1199
* for idx in range(ndim):
* strides[idx] = stride
* stride *= shape[idx] # <<<<<<<<<<<<<<
* else:
* for idx in range(ndim - 1, -1, -1):
*/
__pyx_v_stride = (__pyx_v_stride * (__pyx_v_shape[__pyx_v_idx]));
}
/* "View.MemoryView":1196
* cdef int idx
*
* if order == 'F': # <<<<<<<<<<<<<<
* for idx in range(ndim):
* strides[idx] = stride
*/
goto __pyx_L3;
}
/* "View.MemoryView":1201
* stride *= shape[idx]
* else:
* for idx in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<<
* strides[idx] = stride
* stride *= shape[idx]
*/
/*else*/ {
for (__pyx_t_2 = (__pyx_v_ndim - 1); __pyx_t_2 > -1; __pyx_t_2-=1) {
__pyx_v_idx = __pyx_t_2;
/* "View.MemoryView":1202
* else:
* for idx in range(ndim - 1, -1, -1):
* strides[idx] = stride # <<<<<<<<<<<<<<
* stride *= shape[idx]
*
*/
(__pyx_v_strides[__pyx_v_idx]) = __pyx_v_stride;
/* "View.MemoryView":1203
* for idx in range(ndim - 1, -1, -1):
* strides[idx] = stride
* stride *= shape[idx] # <<<<<<<<<<<<<<
*
* return stride
*/
__pyx_v_stride = (__pyx_v_stride * (__pyx_v_shape[__pyx_v_idx]));
}
}
__pyx_L3:;
/* "View.MemoryView":1205
* stride *= shape[idx]
*
* return stride # <<<<<<<<<<<<<<
*
* @cname('__pyx_memoryview_copy_data_to_temp')
*/
__pyx_r = __pyx_v_stride;
goto __pyx_L0;
/* "View.MemoryView":1187
*
* @cname('__pyx_fill_contig_strides_array')
* cdef Py_ssize_t fill_contig_strides_array( # <<<<<<<<<<<<<<
* Py_ssize_t *shape, Py_ssize_t *strides, Py_ssize_t stride,
* int ndim, char order) nogil:
*/
/* function exit code */
__pyx_L0:;
return __pyx_r;
}
/* "View.MemoryView":1208
*
* @cname('__pyx_memoryview_copy_data_to_temp')
* cdef void *copy_data_to_temp(__Pyx_memviewslice *src, # <<<<<<<<<<<<<<
* __Pyx_memviewslice *tmpslice,
* char order,
*/
static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *__pyx_v_src, __Pyx_memviewslice *__pyx_v_tmpslice, char __pyx_v_order, int __pyx_v_ndim) {
int __pyx_v_i;
void *__pyx_v_result;
size_t __pyx_v_itemsize;
size_t __pyx_v_size;
void *__pyx_r;
Py_ssize_t __pyx_t_1;
int __pyx_t_2;
int __pyx_t_3;
struct __pyx_memoryview_obj *__pyx_t_4;
int __pyx_t_5;
int __pyx_t_6;
int __pyx_lineno = 0;
const char *__pyx_filename = NULL;
int __pyx_clineno = 0;
/* "View.MemoryView":1219
* cdef void *result
*
* cdef size_t itemsize = src.memview.view.itemsize # <<<<<<<<<<<<<<
* cdef size_t size = slice_get_size(src, ndim)
*
*/
__pyx_t_1 = __pyx_v_src->memview->view.itemsize;
__pyx_v_itemsize = __pyx_t_1;
/* "View.MemoryView":1220
*
* cdef size_t itemsize = src.memview.view.itemsize
* cdef size_t size = slice_get_size(src, ndim) # <<<<<<<<<<<<<<
*
* result = malloc(size)
*/
__pyx_v_size = __pyx_memoryview_slice_get_size(__pyx_v_src, __pyx_v_ndim);
/* "View.MemoryView":1222
* cdef size_t size = slice_get_size(src, ndim)
*
* result = malloc(size) # <<<<<<<<<<<<<<
* if not result:
* _err(MemoryError, NULL)
*/
__pyx_v_result = malloc(__pyx_v_size);
/* "View.MemoryView":1223
*
* result = malloc(size)
* if not result: # <<<<<<<<<<<<<<
* _err(MemoryError, NULL)
*
*/
__pyx_t_2 = ((!(__pyx_v_result != 0)) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1224
* result = malloc(size)
* if not result:
* _err(MemoryError, NULL) # <<<<<<<<<<<<<<
*
*
*/
__pyx_t_3 = __pyx_memoryview_err(__pyx_builtin_MemoryError, NULL); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(1, 1224, __pyx_L1_error)
/* "View.MemoryView":1223
*
* result = malloc(size)
* if not result: # <<<<<<<<<<<<<<
* _err(MemoryError, NULL)
*
*/
}
/* "View.MemoryView":1227
*
*
* tmpslice.data = <char *> result # <<<<<<<<<<<<<<
* tmpslice.memview = src.memview
* for i in range(ndim):
*/
__pyx_v_tmpslice->data = ((char *)__pyx_v_result);
/* "View.MemoryView":1228
*
* tmpslice.data = <char *> result
* tmpslice.memview = src.memview # <<<<<<<<<<<<<<
* for i in range(ndim):
* tmpslice.shape[i] = src.shape[i]
*/
__pyx_t_4 = __pyx_v_src->memview;
__pyx_v_tmpslice->memview = __pyx_t_4;
/* "View.MemoryView":1229
* tmpslice.data = <char *> result
* tmpslice.memview = src.memview
* for i in range(ndim): # <<<<<<<<<<<<<<
* tmpslice.shape[i] = src.shape[i]
* tmpslice.suboffsets[i] = -1
*/
__pyx_t_3 = __pyx_v_ndim;
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* broadcast_leading(&dst, dst_ndim, src_ndim) # <<<<<<<<<<<<<<
*
* cdef int ndim = max(src_ndim, dst_ndim)
*/
__pyx_memoryview_broadcast_leading((&__pyx_v_dst), __pyx_v_dst_ndim, __pyx_v_src_ndim);
/* "View.MemoryView":1286
* if src_ndim < dst_ndim:
* broadcast_leading(&src, src_ndim, dst_ndim)
* elif dst_ndim < src_ndim: # <<<<<<<<<<<<<<
* broadcast_leading(&dst, dst_ndim, src_ndim)
*
*/
}
__pyx_L3:;
/* "View.MemoryView":1289
* broadcast_leading(&dst, dst_ndim, src_ndim)
*
* cdef int ndim = max(src_ndim, dst_ndim) # <<<<<<<<<<<<<<
*
* for i in range(ndim):
*/
__pyx_t_3 = __pyx_v_dst_ndim;
__pyx_t_4 = __pyx_v_src_ndim;
if (((__pyx_t_3 > __pyx_t_4) != 0)) {
__pyx_t_5 = __pyx_t_3;
} else {
__pyx_t_5 = __pyx_t_4;
}
__pyx_v_ndim = __pyx_t_5;
/* "View.MemoryView":1291
* cdef int ndim = max(src_ndim, dst_ndim)
*
* for i in range(ndim): # <<<<<<<<<<<<<<
* if src.shape[i] != dst.shape[i]:
* if src.shape[i] == 1:
*/
__pyx_t_5 = __pyx_v_ndim;
__pyx_t_3 = __pyx_t_5;
for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) {
__pyx_v_i = __pyx_t_4;
/* "View.MemoryView":1292
*
* for i in range(ndim):
* if src.shape[i] != dst.shape[i]: # <<<<<<<<<<<<<<
* if src.shape[i] == 1:
* broadcasting = True
*/
__pyx_t_2 = (((__pyx_v_src.shape[__pyx_v_i]) != (__pyx_v_dst.shape[__pyx_v_i])) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1293
* for i in range(ndim):
* if src.shape[i] != dst.shape[i]:
* if src.shape[i] == 1: # <<<<<<<<<<<<<<
* broadcasting = True
* src.strides[i] = 0
*/
__pyx_t_2 = (((__pyx_v_src.shape[__pyx_v_i]) == 1) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1294
* if src.shape[i] != dst.shape[i]:
* if src.shape[i] == 1:
* broadcasting = True # <<<<<<<<<<<<<<
* src.strides[i] = 0
* else:
*/
__pyx_v_broadcasting = 1;
/* "View.MemoryView":1295
* if src.shape[i] == 1:
* broadcasting = True
* src.strides[i] = 0 # <<<<<<<<<<<<<<
* else:
* _err_extents(i, dst.shape[i], src.shape[i])
*/
(__pyx_v_src.strides[__pyx_v_i]) = 0;
/* "View.MemoryView":1293
* for i in range(ndim):
* if src.shape[i] != dst.shape[i]:
* if src.shape[i] == 1: # <<<<<<<<<<<<<<
* broadcasting = True
* src.strides[i] = 0
*/
goto __pyx_L7;
}
/* "View.MemoryView":1297
* src.strides[i] = 0
* else:
* _err_extents(i, dst.shape[i], src.shape[i]) # <<<<<<<<<<<<<<
*
* if src.suboffsets[i] >= 0:
*/
/*else*/ {
__pyx_t_6 = __pyx_memoryview_err_extents(__pyx_v_i, (__pyx_v_dst.shape[__pyx_v_i]), (__pyx_v_src.shape[__pyx_v_i])); if (unlikely(__pyx_t_6 == ((int)-1))) __PYX_ERR(1, 1297, __pyx_L1_error)
}
__pyx_L7:;
/* "View.MemoryView":1292
*
* for i in range(ndim):
* if src.shape[i] != dst.shape[i]: # <<<<<<<<<<<<<<
* if src.shape[i] == 1:
* broadcasting = True
*/
}
/* "View.MemoryView":1299
* _err_extents(i, dst.shape[i], src.shape[i])
*
* if src.suboffsets[i] >= 0: # <<<<<<<<<<<<<<
* _err_dim(ValueError, "Dimension %d is not direct", i)
*
*/
__pyx_t_2 = (((__pyx_v_src.suboffsets[__pyx_v_i]) >= 0) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1300
*
* if src.suboffsets[i] >= 0:
* _err_dim(ValueError, "Dimension %d is not direct", i) # <<<<<<<<<<<<<<
*
* if slices_overlap(&src, &dst, ndim, itemsize):
*/
__pyx_t_6 = __pyx_memoryview_err_dim(__pyx_builtin_ValueError, ((char *)"Dimension %d is not direct"), __pyx_v_i); if (unlikely(__pyx_t_6 == ((int)-1))) __PYX_ERR(1, 1300, __pyx_L1_error)
/* "View.MemoryView":1299
* _err_extents(i, dst.shape[i], src.shape[i])
*
* if src.suboffsets[i] >= 0: # <<<<<<<<<<<<<<
* _err_dim(ValueError, "Dimension %d is not direct", i)
*
*/
}
}
/* "View.MemoryView":1302
* _err_dim(ValueError, "Dimension %d is not direct", i)
*
* if slices_overlap(&src, &dst, ndim, itemsize): # <<<<<<<<<<<<<<
*
* if not slice_is_contig(src, order, ndim):
*/
__pyx_t_2 = (__pyx_slices_overlap((&__pyx_v_src), (&__pyx_v_dst), __pyx_v_ndim, __pyx_v_itemsize) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1304
* if slices_overlap(&src, &dst, ndim, itemsize):
*
* if not slice_is_contig(src, order, ndim): # <<<<<<<<<<<<<<
* order = get_best_order(&dst, ndim)
*
*/
__pyx_t_2 = ((!(__pyx_memviewslice_is_contig(__pyx_v_src, __pyx_v_order, __pyx_v_ndim) != 0)) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1305
*
* if not slice_is_contig(src, order, ndim):
* order = get_best_order(&dst, ndim) # <<<<<<<<<<<<<<
*
* tmpdata = copy_data_to_temp(&src, &tmp, order, ndim)
*/
__pyx_v_order = __pyx_get_best_slice_order((&__pyx_v_dst), __pyx_v_ndim);
/* "View.MemoryView":1304
* if slices_overlap(&src, &dst, ndim, itemsize):
*
* if not slice_is_contig(src, order, ndim): # <<<<<<<<<<<<<<
* order = get_best_order(&dst, ndim)
*
*/
}
/* "View.MemoryView":1307
* order = get_best_order(&dst, ndim)
*
* tmpdata = copy_data_to_temp(&src, &tmp, order, ndim) # <<<<<<<<<<<<<<
* src = tmp
*
*/
__pyx_t_7 = __pyx_memoryview_copy_data_to_temp((&__pyx_v_src), (&__pyx_v_tmp), __pyx_v_order, __pyx_v_ndim); if (unlikely(__pyx_t_7 == ((void *)NULL))) __PYX_ERR(1, 1307, __pyx_L1_error)
__pyx_v_tmpdata = __pyx_t_7;
/* "View.MemoryView":1308
*
* tmpdata = copy_data_to_temp(&src, &tmp, order, ndim)
* src = tmp # <<<<<<<<<<<<<<
*
* if not broadcasting:
*/
__pyx_v_src = __pyx_v_tmp;
/* "View.MemoryView":1302
* _err_dim(ValueError, "Dimension %d is not direct", i)
*
* if slices_overlap(&src, &dst, ndim, itemsize): # <<<<<<<<<<<<<<
*
* if not slice_is_contig(src, order, ndim):
*/
}
/* "View.MemoryView":1310
* src = tmp
*
* if not broadcasting: # <<<<<<<<<<<<<<
*
*
*/
__pyx_t_2 = ((!(__pyx_v_broadcasting != 0)) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1313
*
*
* if slice_is_contig(src, 'C', ndim): # <<<<<<<<<<<<<<
* direct_copy = slice_is_contig(dst, 'C', ndim)
* elif slice_is_contig(src, 'F', ndim):
*/
__pyx_t_2 = (__pyx_memviewslice_is_contig(__pyx_v_src, 'C', __pyx_v_ndim) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1314
*
* if slice_is_contig(src, 'C', ndim):
* direct_copy = slice_is_contig(dst, 'C', ndim) # <<<<<<<<<<<<<<
* elif slice_is_contig(src, 'F', ndim):
* direct_copy = slice_is_contig(dst, 'F', ndim)
*/
__pyx_v_direct_copy = __pyx_memviewslice_is_contig(__pyx_v_dst, 'C', __pyx_v_ndim);
/* "View.MemoryView":1313
*
*
* if slice_is_contig(src, 'C', ndim): # <<<<<<<<<<<<<<
* direct_copy = slice_is_contig(dst, 'C', ndim)
* elif slice_is_contig(src, 'F', ndim):
*/
goto __pyx_L12;
}
/* "View.MemoryView":1315
* if slice_is_contig(src, 'C', ndim):
* direct_copy = slice_is_contig(dst, 'C', ndim)
* elif slice_is_contig(src, 'F', ndim): # <<<<<<<<<<<<<<
* direct_copy = slice_is_contig(dst, 'F', ndim)
*
*/
__pyx_t_2 = (__pyx_memviewslice_is_contig(__pyx_v_src, 'F', __pyx_v_ndim) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1316
* direct_copy = slice_is_contig(dst, 'C', ndim)
* elif slice_is_contig(src, 'F', ndim):
* direct_copy = slice_is_contig(dst, 'F', ndim) # <<<<<<<<<<<<<<
*
* if direct_copy:
*/
__pyx_v_direct_copy = __pyx_memviewslice_is_contig(__pyx_v_dst, 'F', __pyx_v_ndim);
/* "View.MemoryView":1315
* if slice_is_contig(src, 'C', ndim):
* direct_copy = slice_is_contig(dst, 'C', ndim)
* elif slice_is_contig(src, 'F', ndim): # <<<<<<<<<<<<<<
* direct_copy = slice_is_contig(dst, 'F', ndim)
*
*/
}
__pyx_L12:;
/* "View.MemoryView":1318
* direct_copy = slice_is_contig(dst, 'F', ndim)
*
* if direct_copy: # <<<<<<<<<<<<<<
*
* refcount_copying(&dst, dtype_is_object, ndim, False)
*/
__pyx_t_2 = (__pyx_v_direct_copy != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1320
* if direct_copy:
*
* refcount_copying(&dst, dtype_is_object, ndim, False) # <<<<<<<<<<<<<<
* memcpy(dst.data, src.data, slice_get_size(&src, ndim))
* refcount_copying(&dst, dtype_is_object, ndim, True)
*/
__pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 0);
/* "View.MemoryView":1321
*
* refcount_copying(&dst, dtype_is_object, ndim, False)
* memcpy(dst.data, src.data, slice_get_size(&src, ndim)) # <<<<<<<<<<<<<<
* refcount_copying(&dst, dtype_is_object, ndim, True)
* free(tmpdata)
*/
(void)(memcpy(__pyx_v_dst.data, __pyx_v_src.data, __pyx_memoryview_slice_get_size((&__pyx_v_src), __pyx_v_ndim)));
/* "View.MemoryView":1322
* refcount_copying(&dst, dtype_is_object, ndim, False)
* memcpy(dst.data, src.data, slice_get_size(&src, ndim))
* refcount_copying(&dst, dtype_is_object, ndim, True) # <<<<<<<<<<<<<<
* free(tmpdata)
* return 0
*/
__pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 1);
/* "View.MemoryView":1323
* memcpy(dst.data, src.data, slice_get_size(&src, ndim))
* refcount_copying(&dst, dtype_is_object, ndim, True)
* free(tmpdata) # <<<<<<<<<<<<<<
* return 0
*
*/
free(__pyx_v_tmpdata);
/* "View.MemoryView":1324
* refcount_copying(&dst, dtype_is_object, ndim, True)
* free(tmpdata)
* return 0 # <<<<<<<<<<<<<<
*
* if order == 'F' == get_best_order(&dst, ndim):
*/
__pyx_r = 0;
goto __pyx_L0;
/* "View.MemoryView":1318
* direct_copy = slice_is_contig(dst, 'F', ndim)
*
* if direct_copy: # <<<<<<<<<<<<<<
*
* refcount_copying(&dst, dtype_is_object, ndim, False)
*/
}
/* "View.MemoryView":1310
* src = tmp
*
* if not broadcasting: # <<<<<<<<<<<<<<
*
*
*/
}
/* "View.MemoryView":1326
* return 0
*
* if order == 'F' == get_best_order(&dst, ndim): # <<<<<<<<<<<<<<
*
*
*/
__pyx_t_2 = (__pyx_v_order == 'F');
if (__pyx_t_2) {
__pyx_t_2 = ('F' == __pyx_get_best_slice_order((&__pyx_v_dst), __pyx_v_ndim));
}
__pyx_t_8 = (__pyx_t_2 != 0);
if (__pyx_t_8) {
/* "View.MemoryView":1329
*
*
* transpose_memslice(&src) # <<<<<<<<<<<<<<
* transpose_memslice(&dst)
*
*/
__pyx_t_5 = __pyx_memslice_transpose((&__pyx_v_src)); if (unlikely(__pyx_t_5 == ((int)0))) __PYX_ERR(1, 1329, __pyx_L1_error)
/* "View.MemoryView":1330
*
* transpose_memslice(&src)
* transpose_memslice(&dst) # <<<<<<<<<<<<<<
*
* refcount_copying(&dst, dtype_is_object, ndim, False)
*/
__pyx_t_5 = __pyx_memslice_transpose((&__pyx_v_dst)); if (unlikely(__pyx_t_5 == ((int)0))) __PYX_ERR(1, 1330, __pyx_L1_error)
/* "View.MemoryView":1326
* return 0
*
* if order == 'F' == get_best_order(&dst, ndim): # <<<<<<<<<<<<<<
*
*
*/
}
/* "View.MemoryView":1332
* transpose_memslice(&dst)
*
* refcount_copying(&dst, dtype_is_object, ndim, False) # <<<<<<<<<<<<<<
* copy_strided_to_strided(&src, &dst, ndim, itemsize)
* refcount_copying(&dst, dtype_is_object, ndim, True)
*/
__pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 0);
/* "View.MemoryView":1333
*
* refcount_copying(&dst, dtype_is_object, ndim, False)
* copy_strided_to_strided(&src, &dst, ndim, itemsize) # <<<<<<<<<<<<<<
* refcount_copying(&dst, dtype_is_object, ndim, True)
*
*/
copy_strided_to_strided((&__pyx_v_src), (&__pyx_v_dst), __pyx_v_ndim, __pyx_v_itemsize);
/* "View.MemoryView":1334
* refcount_copying(&dst, dtype_is_object, ndim, False)
* copy_strided_to_strided(&src, &dst, ndim, itemsize)
* refcount_copying(&dst, dtype_is_object, ndim, True) # <<<<<<<<<<<<<<
*
* free(tmpdata)
*/
__pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 1);
/* "View.MemoryView":1336
* refcount_copying(&dst, dtype_is_object, ndim, True)
*
* free(tmpdata) # <<<<<<<<<<<<<<
* return 0
*
*/
free(__pyx_v_tmpdata);
/* "View.MemoryView":1337
*
* free(tmpdata)
* return 0 # <<<<<<<<<<<<<<
*
* @cname('__pyx_memoryview_broadcast_leading')
*/
__pyx_r = 0;
goto __pyx_L0;
/* "View.MemoryView":1268
*
* @cname('__pyx_memoryview_copy_contents')
* cdef int memoryview_copy_contents(__Pyx_memviewslice src, # <<<<<<<<<<<<<<
* __Pyx_memviewslice dst,
* int src_ndim, int dst_ndim,
*/
/* function exit code */
__pyx_L1_error:;
{
#ifdef WITH_THREAD
PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure();
#endif
__Pyx_AddTraceback("View.MemoryView.memoryview_copy_contents", __pyx_clineno, __pyx_lineno, __pyx_filename);
#ifdef WITH_THREAD
__Pyx_PyGILState_Release(__pyx_gilstate_save);
#endif
}
__pyx_r = -1;
__pyx_L0:;
return __pyx_r;
}
/* "View.MemoryView":1340
*
* @cname('__pyx_memoryview_broadcast_leading')
* cdef void broadcast_leading(__Pyx_memviewslice *mslice, # <<<<<<<<<<<<<<
* int ndim,
* int ndim_other) nogil:
*/
static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *__pyx_v_mslice, int __pyx_v_ndim, int __pyx_v_ndim_other) {
int __pyx_v_i;
int __pyx_v_offset;
int __pyx_t_1;
int __pyx_t_2;
int __pyx_t_3;
/* "View.MemoryView":1344
* int ndim_other) nogil:
* cdef int i
* cdef int offset = ndim_other - ndim # <<<<<<<<<<<<<<
*
* for i in range(ndim - 1, -1, -1):
*/
__pyx_v_offset = (__pyx_v_ndim_other - __pyx_v_ndim);
/* "View.MemoryView":1346
* cdef int offset = ndim_other - ndim
*
* for i in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<<
* mslice.shape[i + offset] = mslice.shape[i]
* mslice.strides[i + offset] = mslice.strides[i]
*/
for (__pyx_t_1 = (__pyx_v_ndim - 1); __pyx_t_1 > -1; __pyx_t_1-=1) {
__pyx_v_i = __pyx_t_1;
/* "View.MemoryView":1347
*
* for i in range(ndim - 1, -1, -1):
* mslice.shape[i + offset] = mslice.shape[i] # <<<<<<<<<<<<<<
* mslice.strides[i + offset] = mslice.strides[i]
* mslice.suboffsets[i + offset] = mslice.suboffsets[i]
*/
(__pyx_v_mslice->shape[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_mslice->shape[__pyx_v_i]);
/* "View.MemoryView":1348
* for i in range(ndim - 1, -1, -1):
* mslice.shape[i + offset] = mslice.shape[i]
* mslice.strides[i + offset] = mslice.strides[i] # <<<<<<<<<<<<<<
* mslice.suboffsets[i + offset] = mslice.suboffsets[i]
*
*/
(__pyx_v_mslice->strides[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_mslice->strides[__pyx_v_i]);
/* "View.MemoryView":1349
* mslice.shape[i + offset] = mslice.shape[i]
* mslice.strides[i + offset] = mslice.strides[i]
* mslice.suboffsets[i + offset] = mslice.suboffsets[i] # <<<<<<<<<<<<<<
*
* for i in range(offset):
*/
(__pyx_v_mslice->suboffsets[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_mslice->suboffsets[__pyx_v_i]);
}
/* "View.MemoryView":1351
* mslice.suboffsets[i + offset] = mslice.suboffsets[i]
*
* for i in range(offset): # <<<<<<<<<<<<<<
* mslice.shape[i] = 1
* mslice.strides[i] = mslice.strides[0]
*/
__pyx_t_1 = __pyx_v_offset;
__pyx_t_2 = __pyx_t_1;
for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
__pyx_v_i = __pyx_t_3;
/* "View.MemoryView":1352
*
* for i in range(offset):
* mslice.shape[i] = 1 # <<<<<<<<<<<<<<
* mslice.strides[i] = mslice.strides[0]
* mslice.suboffsets[i] = -1
*/
(__pyx_v_mslice->shape[__pyx_v_i]) = 1;
/* "View.MemoryView":1353
* for i in range(offset):
* mslice.shape[i] = 1
* mslice.strides[i] = mslice.strides[0] # <<<<<<<<<<<<<<
* mslice.suboffsets[i] = -1
*
*/
(__pyx_v_mslice->strides[__pyx_v_i]) = (__pyx_v_mslice->strides[0]);
/* "View.MemoryView":1354
* mslice.shape[i] = 1
* mslice.strides[i] = mslice.strides[0]
* mslice.suboffsets[i] = -1 # <<<<<<<<<<<<<<
*
*
*/
(__pyx_v_mslice->suboffsets[__pyx_v_i]) = -1L;
}
/* "View.MemoryView":1340
*
* @cname('__pyx_memoryview_broadcast_leading')
* cdef void broadcast_leading(__Pyx_memviewslice *mslice, # <<<<<<<<<<<<<<
* int ndim,
* int ndim_other) nogil:
*/
/* function exit code */
}
/* "View.MemoryView":1362
*
* @cname('__pyx_memoryview_refcount_copying')
* cdef void refcount_copying(__Pyx_memviewslice *dst, bint dtype_is_object, # <<<<<<<<<<<<<<
* int ndim, bint inc) nogil:
*
*/
static void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *__pyx_v_dst, int __pyx_v_dtype_is_object, int __pyx_v_ndim, int __pyx_v_inc) {
int __pyx_t_1;
/* "View.MemoryView":1366
*
*
* if dtype_is_object: # <<<<<<<<<<<<<<
* refcount_objects_in_slice_with_gil(dst.data, dst.shape,
* dst.strides, ndim, inc)
*/
__pyx_t_1 = (__pyx_v_dtype_is_object != 0);
if (__pyx_t_1) {
/* "View.MemoryView":1367
*
* if dtype_is_object:
* refcount_objects_in_slice_with_gil(dst.data, dst.shape, # <<<<<<<<<<<<<<
* dst.strides, ndim, inc)
*
*/
__pyx_memoryview_refcount_objects_in_slice_with_gil(__pyx_v_dst->data, __pyx_v_dst->shape, __pyx_v_dst->strides, __pyx_v_ndim, __pyx_v_inc);
/* "View.MemoryView":1366
*
*
* if dtype_is_object: # <<<<<<<<<<<<<<
* refcount_objects_in_slice_with_gil(dst.data, dst.shape,
* dst.strides, ndim, inc)
*/
}
/* "View.MemoryView":1362
*
* @cname('__pyx_memoryview_refcount_copying')
* cdef void refcount_copying(__Pyx_memviewslice *dst, bint dtype_is_object, # <<<<<<<<<<<<<<
* int ndim, bint inc) nogil:
*
*/
/* function exit code */
}
/* "View.MemoryView":1371
*
* @cname('__pyx_memoryview_refcount_objects_in_slice_with_gil')
* cdef void refcount_objects_in_slice_with_gil(char *data, Py_ssize_t *shape, # <<<<<<<<<<<<<<
* Py_ssize_t *strides, int ndim,
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0, /*tp_bases*/
0, /*tp_mro*/
0, /*tp_cache*/
0, /*tp_subclasses*/
0, /*tp_weaklist*/
0, /*tp_del*/
0, /*tp_version_tag*/
#if PY_VERSION_HEX >= 0x030400a1
0, /*tp_finalize*/
#endif
#if PY_VERSION_HEX >= 0x030800b1
0, /*tp_vectorcall*/
#endif
#if PY_VERSION_HEX >= 0x030800b4 && PY_VERSION_HEX < 0x03090000
0, /*tp_print*/
#endif
};
static struct __pyx_vtabstruct_memoryview __pyx_vtable_memoryview;
static PyObject *__pyx_tp_new_memoryview(PyTypeObject *t, PyObject *a, PyObject *k) {
struct __pyx_memoryview_obj *p;
PyObject *o;
if (likely((t->tp_flags & Py_TPFLAGS_IS_ABSTRACT) == 0)) {
o = (*t->tp_alloc)(t, 0);
} else {
o = (PyObject *) PyBaseObject_Type.tp_new(t, __pyx_empty_tuple, 0);
}
if (unlikely(!o)) return 0;
p = ((struct __pyx_memoryview_obj *)o);
p->__pyx_vtab = __pyx_vtabptr_memoryview;
p->obj = Py_None; Py_INCREF(Py_None);
p->_size = Py_None; Py_INCREF(Py_None);
p->_array_interface = Py_None; Py_INCREF(Py_None);
p->view.obj = NULL;
if (unlikely(__pyx_memoryview___cinit__(o, a, k) < 0)) goto bad;
return o;
bad:
Py_DECREF(o); o = 0;
return NULL;
}
static void __pyx_tp_dealloc_memoryview(PyObject *o) {
struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o;
#if CYTHON_USE_TP_FINALIZE
if (unlikely(PyType_HasFeature(Py_TYPE(o), Py_TPFLAGS_HAVE_FINALIZE) && Py_TYPE(o)->tp_finalize) && !_PyGC_FINALIZED(o)) {
if (PyObject_CallFinalizerFromDealloc(o)) return;
}
#endif
PyObject_GC_UnTrack(o);
{
PyObject *etype, *eval, *etb;
PyErr_Fetch(&etype, &eval, &etb);
__Pyx_SET_REFCNT(o, Py_REFCNT(o) + 1);
__pyx_memoryview___dealloc__(o);
__Pyx_SET_REFCNT(o, Py_REFCNT(o) - 1);
PyErr_Restore(etype, eval, etb);
}
Py_CLEAR(p->obj);
Py_CLEAR(p->_size);
Py_CLEAR(p->_array_interface);
(*Py_TYPE(o)->tp_free)(o);
}
static int __pyx_tp_traverse_memoryview(PyObject *o, visitproc v, void *a) {
int e;
struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o;
if (p->obj) {
e = (*v)(p->obj, a); if (e) return e;
}
if (p->_size) {
e = (*v)(p->_size, a); if (e) return e;
}
if (p->_array_interface) {
e = (*v)(p->_array_interface, a); if (e) return e;
}
if (p->view.obj) {
e = (*v)(p->view.obj, a); if (e) return e;
}
return 0;
}
static int __pyx_tp_clear_memoryview(PyObject *o) {
PyObject* tmp;
struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o;
tmp = ((PyObject*)p->obj);
p->obj = Py_None; Py_INCREF(Py_None);
Py_XDECREF(tmp);
tmp = ((PyObject*)p->_size);
p->_size = Py_None; Py_INCREF(Py_None);
Py_XDECREF(tmp);
tmp = ((PyObject*)p->_array_interface);
p->_array_interface = Py_None; Py_INCREF(Py_None);
Py_XDECREF(tmp);
Py_CLEAR(p->view.obj);
return 0;
}
static PyObject *__pyx_sq_item_memoryview(PyObject *o, Py_ssize_t i) {
PyObject *r;
PyObject *x = PyInt_FromSsize_t(i); if(!x) return 0;
r = Py_TYPE(o)->tp_as_mapping->mp_subscript(o, x);
Py_DECREF(x);
return r;
}
static int __pyx_mp_ass_subscript_memoryview(PyObject *o, PyObject *i, PyObject *v) {
if (v) {
return __pyx_memoryview___setitem__(o, i, v);
}
else {
PyErr_Format(PyExc_NotImplementedError,
"Subscript deletion not supported by %.200s", Py_TYPE(o)->tp_name);
return -1;
}
}
static PyObject *__pyx_getprop___pyx_memoryview_T(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_1T_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_base(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_4base_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_shape(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_5shape_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_strides(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_7strides_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_suboffsets(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_10suboffsets_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_ndim(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_4ndim_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_itemsize(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_8itemsize_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_nbytes(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_6nbytes_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_size(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_4size_1__get__(o);
}
static PyMethodDef __pyx_methods_memoryview[] = {
{"is_c_contig", (PyCFunction)__pyx_memoryview_is_c_contig, METH_NOARGS, 0},
{"is_f_contig", (PyCFunction)__pyx_memoryview_is_f_contig, METH_NOARGS, 0},
{"copy", (PyCFunction)__pyx_memoryview_copy, METH_NOARGS, 0},
{"copy_fortran", (PyCFunction)__pyx_memoryview_copy_fortran, METH_NOARGS, 0},
{"__reduce_cython__", (PyCFunction)__pyx_pw___pyx_memoryview_1__reduce_cython__, METH_NOARGS, 0},
{"__setstate_cython__", (PyCFunction)__pyx_pw___pyx_memoryview_3__setstate_cython__, METH_O, 0},
{0, 0, 0, 0}
};
static struct PyGetSetDef __pyx_getsets_memoryview[] = {
{(char *)"T", __pyx_getprop___pyx_memoryview_T, 0, (char *)0, 0},
{(char *)"base", __pyx_getprop___pyx_memoryview_base, 0, (char *)0, 0},
{(char *)"shape", __pyx_getprop___pyx_memoryview_shape, 0, (char *)0, 0},
{(char *)"strides", __pyx_getprop___pyx_memoryview_strides, 0, (char *)0, 0},
{(char *)"suboffsets", __pyx_getprop___pyx_memoryview_suboffsets, 0, (char *)0, 0},
{(char *)"ndim", __pyx_getprop___pyx_memoryview_ndim, 0, (char *)0, 0},
{(char *)"itemsize", __pyx_getprop___pyx_memoryview_itemsize, 0, (char *)0, 0},
{(char *)"nbytes", __pyx_getprop___pyx_memoryview_nbytes, 0, (char *)0, 0},
{(char *)"size", __pyx_getprop___pyx_memoryview_size, 0, (char *)0, 0},
{0, 0, 0, 0, 0}
};
static PySequenceMethods __pyx_tp_as_sequence_memoryview = {
__pyx_memoryview___len__, /*sq_length*/
0, /*sq_concat*/
0, /*sq_repeat*/
__pyx_sq_item_memoryview, /*sq_item*/
0, /*sq_slice*/
0, /*sq_ass_item*/
0, /*sq_ass_slice*/
0, /*sq_contains*/
0, /*sq_inplace_concat*/
0, /*sq_inplace_repeat*/
};
static PyMappingMethods __pyx_tp_as_mapping_memoryview = {
__pyx_memoryview___len__, /*mp_length*/
__pyx_memoryview___getitem__, /*mp_subscript*/
__pyx_mp_ass_subscript_memoryview, /*mp_ass_subscript*/
};
static PyBufferProcs __pyx_tp_as_buffer_memoryview = {
#if PY_MAJOR_VERSION < 3
0, /*bf_getreadbuffer*/
#endif
#if PY_MAJOR_VERSION < 3
0, /*bf_getwritebuffer*/
#endif
#if PY_MAJOR_VERSION < 3
0, /*bf_getsegcount*/
#endif
#if PY_MAJOR_VERSION < 3
0, /*bf_getcharbuffer*/
#endif
__pyx_memoryview_getbuffer, /*bf_getbuffer*/
0, /*bf_releasebuffer*/
};
static PyTypeObject __pyx_type___pyx_memoryview = {
PyVarObject_HEAD_INIT(0, 0)
"gensim.models.nmf_pgd.memoryview", /*tp_name*/
sizeof(struct __pyx_memoryview_obj), /*tp_basicsize*/
0, /*tp_itemsize*/
__pyx_tp_dealloc_memoryview, /*tp_dealloc*/
#if PY_VERSION_HEX < 0x030800b4
0, /*tp_print*/
#endif
#if PY_VERSION_HEX >= 0x030800b4
0, /*tp_vectorcall_offset*/
#endif
0, /*tp_getattr*/
0, /*tp_setattr*/
#if PY_MAJOR_VERSION < 3
0, /*tp_compare*/
#endif
#if PY_MAJOR_VERSION >= 3
0, /*tp_as_async*/
#endif
__pyx_memoryview___repr__, /*tp_repr*/
0, /*tp_as_number*/
&__pyx_tp_as_sequence_memoryview, /*tp_as_sequence*/
&__pyx_tp_as_mapping_memoryview, /*tp_as_mapping*/
0, /*tp_hash*/
0, /*tp_call*/
__pyx_memoryview___str__, /*tp_str*/
0, /*tp_getattro*/
0, /*tp_setattro*/
&__pyx_tp_as_buffer_memoryview, /*tp_as_buffer*/
Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
0, /*tp_doc*/
__pyx_tp_traverse_memoryview, /*tp_traverse*/
__pyx_tp_clear_memoryview, /*tp_clear*/
0, /*tp_richcompare*/
0, /*tp_weaklistoffset*/
0, /*tp_iter*/
0, /*tp_iternext*/
__pyx_methods_memoryview, /*tp_methods*/
0, /*tp_members*/
__pyx_getsets_memoryview, /*tp_getset*/
0, /*tp_base*/
0, /*tp_dict*/
0, /*tp_descr_get*/
0, /*tp_descr_set*/
0, /*tp_dictoffset*/
0, /*tp_init*/
0, /*tp_alloc*/
__pyx_tp_new_memoryview, /*tp_new*/
0, /*tp_free*/
0, /*tp_is_gc*/
0, /*tp_bases*/
0, /*tp_mro*/
0, /*tp_cache*/
0, /*tp_subclasses*/
0, /*tp_weaklist*/
0, /*tp_del*/
0, /*tp_version_tag*/
#if PY_VERSION_HEX >= 0x030400a1
0, /*tp_finalize*/
#endif
#if PY_VERSION_HEX >= 0x030800b1
0, /*tp_vectorcall*/
#endif
#if PY_VERSION_HEX >= 0x030800b4 && PY_VERSION_HEX < 0x03090000
0, /*tp_print*/
#endif
};
static struct __pyx_vtabstruct__memoryviewslice __pyx_vtable__memoryviewslice;
static PyObject *__pyx_tp_new__memoryviewslice(PyTypeObject *t, PyObject *a, PyObject *k) {
struct __pyx_memoryviewslice_obj *p;
PyObject *o = __pyx_tp_new_memoryview(t, a, k);
if (unlikely(!o)) return 0;
p = ((struct __pyx_memoryviewslice_obj *)o);
p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_memoryview*)__pyx_vtabptr__memoryviewslice;
p->from_object = Py_None; Py_INCREF(Py_None);
p->from_slice.memview = NULL;
return o;
}
static void __pyx_tp_dealloc__memoryviewslice(PyObject *o) {
struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o;
#if CYTHON_USE_TP_FINALIZE
if (unlikely(PyType_HasFeature(Py_TYPE(o), Py_TPFLAGS_HAVE_FINALIZE) && Py_TYPE(o)->tp_finalize) && !_PyGC_FINALIZED(o)) {
if (PyObject_CallFinalizerFromDealloc(o)) return;
}
#endif
PyObject_GC_UnTrack(o);
{
PyObject *etype, *eval, *etb;
PyErr_Fetch(&etype, &eval, &etb);
__Pyx_SET_REFCNT(o, Py_REFCNT(o) + 1);
__pyx_memoryviewslice___dealloc__(o);
__Pyx_SET_REFCNT(o, Py_REFCNT(o) - 1);
PyErr_Restore(etype, eval, etb);
}
Py_CLEAR(p->from_object);
PyObject_GC_Track(o);
__pyx_tp_dealloc_memoryview(o);
}
static int __pyx_tp_traverse__memoryviewslice(PyObject *o, visitproc v, void *a) {
int e;
struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o;
e = __pyx_tp_traverse_memoryview(o, v, a); if (e) return e;
if (p->from_object) {
e = (*v)(p->from_object, a); if (e) return e;
}
return 0;
}
static int __pyx_tp_clear__memoryviewslice(PyObject *o) {
PyObject* tmp;
struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o;
__pyx_tp_clear_memoryview(o);
tmp = ((PyObject*)p->from_object);
p->from_object = Py_None; Py_INCREF(Py_None);
Py_XDECREF(tmp);
__PYX_XDEC_MEMVIEW(&p->from_slice, 1);
return 0;
}
static PyObject *__pyx_getprop___pyx_memoryviewslice_base(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_16_memoryviewslice_4base_1__get__(o);
}
static PyMethodDef __pyx_methods__memoryviewslice[] = {
{"__reduce_cython__", (PyCFunction)__pyx_pw___pyx_memoryviewslice_1__reduce_cython__, METH_NOARGS, 0},
{"__setstate_cython__", (PyCFunction)__pyx_pw___pyx_memoryviewslice_3__setstate_cython__, METH_O, 0},
{0, 0, 0, 0}
};
static struct PyGetSetDef __pyx_getsets__memoryviewslice[] = {
{(char *)"base", __pyx_getprop___pyx_memoryviewslice_base, 0, (char *)0, 0},
{0, 0, 0, 0, 0}
};
static PyTypeObject __pyx_type___pyx_memoryviewslice = {
PyVarObject_HEAD_INIT(0, 0)
"gensim.models.nmf_pgd._memoryviewslice", /*tp_name*/
sizeof(struct __pyx_memoryviewslice_obj), /*tp_basicsize*/
0, /*tp_itemsize*/
__pyx_tp_dealloc__memoryviewslice, /*tp_dealloc*/
#if PY_VERSION_HEX < 0x030800b4
0, /*tp_print*/
#endif
#if PY_VERSION_HEX >= 0x030800b4
0, /*tp_vectorcall_offset*/
#endif
0, /*tp_getattr*/
0, /*tp_setattr*/
#if PY_MAJOR_VERSION < 3
0, /*tp_compare*/
#endif
#if PY_MAJOR_VERSION >= 3
0, /*tp_as_async*/
#endif
#if CYTHON_COMPILING_IN_PYPY
__pyx_memoryview___repr__, /*tp_repr*/
#else
0, /*tp_repr*/
#endif
0, /*tp_as_number*/
0, /*tp_as_sequence*/
0, /*tp_as_mapping*/
0, /*tp_hash*/
0, /*tp_call*/
#if CYTHON_COMPILING_IN_PYPY
__pyx_memoryview___str__, /*tp_str*/
#else
0, /*tp_str*/
#endif
0, /*tp_getattro*/
0, /*tp_setattro*/
0, /*tp_as_buffer*/
Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
"Internal class for passing memoryview slices to Python", /*tp_doc*/
__pyx_tp_traverse__memoryviewslice, /*tp_traverse*/
__pyx_tp_clear__memoryviewslice, /*tp_clear*/
0, /*tp_richcompare*/
0, /*tp_weaklistoffset*/
0, /*tp_iter*/
0, /*tp_iternext*/
__pyx_methods__memoryviewslice, /*tp_methods*/
0, /*tp_members*/
__pyx_getsets__memoryviewslice, /*tp_getset*/
0, /*tp_base*/
0, /*tp_dict*/
0, /*tp_descr_get*/
0, /*tp_descr_set*/
0, /*tp_dictoffset*/
0, /*tp_init*/
0, /*tp_alloc*/
__pyx_tp_new__memoryviewslice, /*tp_new*/
0, /*tp_free*/
0, /*tp_is_gc*/
0, /*tp_bases*/
0, /*tp_mro*/
0, /*tp_cache*/
0, /*tp_subclasses*/
0, /*tp_weaklist*/
0, /*tp_del*/
0, /*tp_version_tag*/
#if PY_VERSION_HEX >= 0x030400a1
0, /*tp_finalize*/
#endif
#if PY_VERSION_HEX >= 0x030800b1
0, /*tp_vectorcall*/
#endif
#if PY_VERSION_HEX >= 0x030800b4 && PY_VERSION_HEX < 0x03090000
0, /*tp_print*/
#endif
};
static PyMethodDef __pyx_methods[] = {
{0, 0, 0, 0}
};
#if PY_MAJOR_VERSION >= 3
#if CYTHON_PEP489_MULTI_PHASE_INIT
static PyObject* __pyx_pymod_create(PyObject *spec, PyModuleDef *def); /*proto*/
static int __pyx_pymod_exec_nmf_pgd(PyObject* module); /*proto*/
static PyModuleDef_Slot __pyx_moduledef_slots[] = {
{Py_mod_create, (void*)__pyx_pymod_create},
{Py_mod_exec, (void*)__pyx_pymod_exec_nmf_pgd},
{0, NULL}
};
#endif
static struct PyModuleDef __pyx_moduledef = {
PyModuleDef_HEAD_INIT,
"nmf_pgd",
0, /* m_doc */
#if CYTHON_PEP489_MULTI_PHASE_INIT
0, /* m_size */
#else
-1, /* m_size */
#endif
__pyx_methods /* m_methods */,
#if CYTHON_PEP489_MULTI_PHASE_INIT
__pyx_moduledef_slots, /* m_slots */
#else
NULL, /* m_reload */
#endif
NULL, /* m_traverse */
NULL, /* m_clear */
NULL /* m_free */
};
#endif
#ifndef CYTHON_SMALL_CODE
#if defined(__clang__)
#define CYTHON_SMALL_CODE
#elif defined(__GNUC__) && (__GNUC__ > 4 || (__GNUC__ == 4 && __GNUC_MINOR__ >= 3))
#define CYTHON_SMALL_CODE __attribute__((cold))
#else
#define CYTHON_SMALL_CODE
#endif
#endif
static __Pyx_StringTabEntry __pyx_string_tab[] = {
{&__pyx_n_s_ASCII, __pyx_k_ASCII, sizeof(__pyx_k_ASCII), 0, 0, 1, 1},
{&__pyx_kp_s_Buffer_view_does_not_expose_stri, __pyx_k_Buffer_view_does_not_expose_stri, sizeof(__pyx_k_Buffer_view_does_not_expose_stri), 0, 0, 1, 0},
{&__pyx_kp_s_Can_only_create_a_buffer_that_is, __pyx_k_Can_only_create_a_buffer_that_is, sizeof(__pyx_k_Can_only_create_a_buffer_that_is), 0, 0, 1, 0},
{&__pyx_kp_s_Cannot_assign_to_read_only_memor, __pyx_k_Cannot_assign_to_read_only_memor, sizeof(__pyx_k_Cannot_assign_to_read_only_memor), 0, 0, 1, 0},
{&__pyx_kp_s_Cannot_create_writable_memory_vi, __pyx_k_Cannot_create_writable_memory_vi, sizeof(__pyx_k_Cannot_create_writable_memory_vi), 0, 0, 1, 0},
{&__pyx_kp_s_Cannot_index_with_type_s, __pyx_k_Cannot_index_with_type_s, sizeof(__pyx_k_Cannot_index_with_type_s), 0, 0, 1, 0},
{&__pyx_n_s_Ellipsis, __pyx_k_Ellipsis, sizeof(__pyx_k_Ellipsis), 0, 0, 1, 1},
{&__pyx_kp_s_Empty_shape_tuple_for_cython_arr, __pyx_k_Empty_shape_tuple_for_cython_arr, sizeof(__pyx_k_Empty_shape_tuple_for_cython_arr), 0, 0, 1, 0},
{&__pyx_kp_s_Incompatible_checksums_s_vs_0xb0, __pyx_k_Incompatible_checksums_s_vs_0xb0, sizeof(__pyx_k_Incompatible_checksums_s_vs_0xb0), 0, 0, 1, 0},
{&__pyx_n_s_IndexError, __pyx_k_IndexError, sizeof(__pyx_k_IndexError), 0, 0, 1, 1},
{&__pyx_kp_s_Indirect_dimensions_not_supporte, __pyx_k_Indirect_dimensions_not_supporte, sizeof(__pyx_k_Indirect_dimensions_not_supporte), 0, 0, 1, 0},
{&__pyx_kp_s_Invalid_mode_expected_c_or_fortr, __pyx_k_Invalid_mode_expected_c_or_fortr, sizeof(__pyx_k_Invalid_mode_expected_c_or_fortr), 0, 0, 1, 0},
{&__pyx_kp_s_Invalid_shape_in_axis_d_d, __pyx_k_Invalid_shape_in_axis_d_d, sizeof(__pyx_k_Invalid_shape_in_axis_d_d), 0, 0, 1, 0},
{&__pyx_n_s_MemoryError, __pyx_k_MemoryError, sizeof(__pyx_k_MemoryError), 0, 0, 1, 1},
{&__pyx_kp_s_MemoryView_of_r_at_0x_x, __pyx_k_MemoryView_of_r_at_0x_x, sizeof(__pyx_k_MemoryView_of_r_at_0x_x), 0, 0, 1, 0},
{&__pyx_kp_s_MemoryView_of_r_object, __pyx_k_MemoryView_of_r_object, sizeof(__pyx_k_MemoryView_of_r_object), 0, 0, 1, 0},
{&__pyx_n_b_O, __pyx_k_O, sizeof(__pyx_k_O), 0, 0, 0, 1},
{&__pyx_kp_s_Out_of_bounds_on_buffer_access_a, __pyx_k_Out_of_bounds_on_buffer_access_a, sizeof(__pyx_k_Out_of_bounds_on_buffer_access_a), 0, 0, 1, 0},
{&__pyx_n_s_PickleError, __pyx_k_PickleError, sizeof(__pyx_k_PickleError), 0, 0, 1, 1},
{&__pyx_n_s_TypeError, __pyx_k_TypeError, sizeof(__pyx_k_TypeError), 0, 0, 1, 1},
{&__pyx_kp_s_Unable_to_convert_item_to_object, __pyx_k_Unable_to_convert_item_to_object, sizeof(__pyx_k_Unable_to_convert_item_to_object), 0, 0, 1, 0},
{&__pyx_n_s_ValueError, __pyx_k_ValueError, sizeof(__pyx_k_ValueError), 0, 0, 1, 1},
{&__pyx_n_s_View_MemoryView, __pyx_k_View_MemoryView, sizeof(__pyx_k_View_MemoryView), 0, 0, 1, 1},
{&__pyx_n_s_WtW, __pyx_k_WtW, sizeof(__pyx_k_WtW), 0, 0, 1, 1},
{&__pyx_n_s_Wtv, __pyx_k_Wtv, sizeof(__pyx_k_Wtv), 0, 0, 1, 1},
{&__pyx_n_s_allocate_buffer, __pyx_k_allocate_buffer, sizeof(__pyx_k_allocate_buffer), 0, 0, 1, 1},
{&__pyx_n_s_base, __pyx_k_base, sizeof(__pyx_k_base), 0, 0, 1, 1},
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/* "View.MemoryView":288
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goto invalid_keyword;
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Py_XDECREF(tmp_type);
Py_XDECREF(tmp_value);
Py_XDECREF(tmp_tb);
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if (tb == Py_None) {
tb = 0;
} else if (tb && !PyTraceBack_Check(tb)) {
PyErr_SetString(PyExc_TypeError,
"raise: arg 3 must be a traceback or None");
goto bad;
}
if (value == Py_None)
value = 0;
if (PyExceptionInstance_Check(type)) {
if (value) {
PyErr_SetString(PyExc_TypeError,
"instance exception may not have a separate value");
goto bad;
}
value = type;
type = (PyObject*) Py_TYPE(value);
} else if (PyExceptionClass_Check(type)) {
PyObject *instance_class = NULL;
if (value && PyExceptionInstance_Check(value)) {
instance_class = (PyObject*) Py_TYPE(value);
if (instance_class != type) {
int is_subclass = PyObject_IsSubclass(instance_class, type);
if (!is_subclass) {
instance_class = NULL;
} else if (unlikely(is_subclass == -1)) {
goto bad;
} else {
type = instance_class;
}
}
}
if (!instance_class) {
PyObject *args;
if (!value)
args = PyTuple_New(0);
else if (PyTuple_Check(value)) {
Py_INCREF(value);
args = value;
} else
args = PyTuple_Pack(1, value);
if (!args)
goto bad;
owned_instance = PyObject_Call(type, args, NULL);
Py_DECREF(args);
if (!owned_instance)
goto bad;
value = owned_instance;
if (!PyExceptionInstance_Check(value)) {
PyErr_Format(PyExc_TypeError,
"calling %R should have returned an instance of "
"BaseException, not %R",
type, Py_TYPE(value));
goto bad;
}
}
} else {
PyErr_SetString(PyExc_TypeError,
"raise: exception class must be a subclass of BaseException");
goto bad;
}
if (cause) {
PyObject *fixed_cause;
if (cause == Py_None) {
fixed_cause = NULL;
} else if (PyExceptionClass_Check(cause)) {
fixed_cause = PyObject_CallObject(cause, NULL);
if (fixed_cause == NULL)
goto bad;
} else if (PyExceptionInstance_Check(cause)) {
fixed_cause = cause;
Py_INCREF(fixed_cause);
} else {
PyErr_SetString(PyExc_TypeError,
"exception causes must derive from "
"BaseException");
goto bad;
}
PyException_SetCause(value, fixed_cause);
}
PyErr_SetObject(type, value);
if (tb) {
#if CYTHON_COMPILING_IN_PYPY
PyObject *tmp_type, *tmp_value, *tmp_tb;
PyErr_Fetch(&tmp_type, &tmp_value, &tmp_tb);
Py_INCREF(tb);
PyErr_Restore(tmp_type, tmp_value, tb);
Py_XDECREF(tmp_tb);
#else
PyThreadState *tstate = __Pyx_PyThreadState_Current;
PyObject* tmp_tb = tstate->curexc_traceback;
if (tb != tmp_tb) {
Py_INCREF(tb);
tstate->curexc_traceback = tb;
Py_XDECREF(tmp_tb);
}
#endif
}
bad:
Py_XDECREF(owned_instance);
return;
}
#endif
/* PyCFunctionFastCall */
#if CYTHON_FAST_PYCCALL
static CYTHON_INLINE PyObject * __Pyx_PyCFunction_FastCall(PyObject *func_obj, PyObject **args, Py_ssize_t nargs) {
PyCFunctionObject *func = (PyCFunctionObject*)func_obj;
PyCFunction meth = PyCFunction_GET_FUNCTION(func);
PyObject *self = PyCFunction_GET_SELF(func);
int flags = PyCFunction_GET_FLAGS(func);
assert(PyCFunction_Check(func));
assert(METH_FASTCALL == (flags & ~(METH_CLASS | METH_STATIC | METH_COEXIST | METH_KEYWORDS | METH_STACKLESS)));
assert(nargs >= 0);
assert(nargs == 0 || args != NULL);
/* _PyCFunction_FastCallDict() must not be called with an exception set,
because it may clear it (directly or indirectly) and so the
caller loses its exception */
assert(!PyErr_Occurred());
if ((PY_VERSION_HEX < 0x030700A0) || unlikely(flags & METH_KEYWORDS)) {
return (*((__Pyx_PyCFunctionFastWithKeywords)(void*)meth)) (self, args, nargs, NULL);
} else {
return (*((__Pyx_PyCFunctionFast)(void*)meth)) (self, args, nargs);
}
}
#endif
/* PyFunctionFastCall */
#if CYTHON_FAST_PYCALL
static PyObject* __Pyx_PyFunction_FastCallNoKw(PyCodeObject *co, PyObject **args, Py_ssize_t na,
PyObject *globals) {
PyFrameObject *f;
PyThreadState *tstate = __Pyx_PyThreadState_Current;
PyObject **fastlocals;
Py_ssize_t i;
PyObject *result;
assert(globals != NULL);
/* XXX Perhaps we should create a specialized
PyFrame_New() that doesn't take locals, but does
take builtins without sanity checking them.
*/
assert(tstate != NULL);
f = PyFrame_New(tstate, co, globals, NULL);
if (f == NULL) {
return NULL;
}
fastlocals = __Pyx_PyFrame_GetLocalsplus(f);
for (i = 0; i < na; i++) {
Py_INCREF(*args);
fastlocals[i] = *args++;
}
result = PyEval_EvalFrameEx(f,0);
++tstate->recursion_depth;
Py_DECREF(f);
--tstate->recursion_depth;
return result;
}
#if 1 || PY_VERSION_HEX < 0x030600B1
static PyObject *__Pyx_PyFunction_FastCallDict(PyObject *func, PyObject **args, Py_ssize_t nargs, PyObject *kwargs) {
PyCodeObject *co = (PyCodeObject *)PyFunction_GET_CODE(func);
PyObject *globals = PyFunction_GET_GLOBALS(func);
PyObject *argdefs = PyFunction_GET_DEFAULTS(func);
PyObject *closure;
#if PY_MAJOR_VERSION >= 3
PyObject *kwdefs;
#endif
PyObject *kwtuple, **k;
PyObject **d;
Py_ssize_t nd;
Py_ssize_t nk;
PyObject *result;
assert(kwargs == NULL || PyDict_Check(kwargs));
nk = kwargs ? PyDict_Size(kwargs) : 0;
if (Py_EnterRecursiveCall((char*)" while calling a Python object")) {
return NULL;
}
if (
#if PY_MAJOR_VERSION >= 3
co->co_kwonlyargcount == 0 &&
#endif
likely(kwargs == NULL || nk == 0) &&
co->co_flags == (CO_OPTIMIZED | CO_NEWLOCALS | CO_NOFREE)) {
if (argdefs == NULL && co->co_argcount == nargs) {
result = __Pyx_PyFunction_FastCallNoKw(co, args, nargs, globals);
goto done;
}
else if (nargs == 0 && argdefs != NULL
&& co->co_argcount == Py_SIZE(argdefs)) {
/* function called with no arguments, but all parameters have
a default value: use default values as arguments .*/
args = &PyTuple_GET_ITEM(argdefs, 0);
result =__Pyx_PyFunction_FastCallNoKw(co, args, Py_SIZE(argdefs), globals);
goto done;
}
}
if (kwargs != NULL) {
Py_ssize_t pos, i;
kwtuple = PyTuple_New(2 * nk);
if (kwtuple == NULL) {
result = NULL;
goto done;
}
k = &PyTuple_GET_ITEM(kwtuple, 0);
pos = i = 0;
while (PyDict_Next(kwargs, &pos, &k[i], &k[i+1])) {
Py_INCREF(k[i]);
Py_INCREF(k[i+1]);
i += 2;
}
nk = i / 2;
}
else {
kwtuple = NULL;
k = NULL;
}
closure = PyFunction_GET_CLOSURE(func);
#if PY_MAJOR_VERSION >= 3
kwdefs = PyFunction_GET_KW_DEFAULTS(func);
#endif
if (argdefs != NULL) {
d = &PyTuple_GET_ITEM(argdefs, 0);
nd = Py_SIZE(argdefs);
}
else {
d = NULL;
nd = 0;
}
#if PY_MAJOR_VERSION >= 3
result = PyEval_EvalCodeEx((PyObject*)co, globals, (PyObject *)NULL,
args, (int)nargs,
k, (int)nk,
d, (int)nd, kwdefs, closure);
#else
result = PyEval_EvalCodeEx(co, globals, (PyObject *)NULL,
args, (int)nargs,
k, (int)nk,
d, (int)nd, closure);
#endif
Py_XDECREF(kwtuple);
done:
Py_LeaveRecursiveCall();
return result;
}
#endif
#endif
/* PyObjectCall2Args */
static CYTHON_UNUSED PyObject* __Pyx_PyObject_Call2Args(PyObject* function, PyObject* arg1, PyObject* arg2) {
PyObject *args, *result = NULL;
#if CYTHON_FAST_PYCALL
if (PyFunction_Check(function)) {
PyObject *args[2] = {arg1, arg2};
return __Pyx_PyFunction_FastCall(function, args, 2);
}
#endif
#if CYTHON_FAST_PYCCALL
if (__Pyx_PyFastCFunction_Check(function)) {
PyObject *args[2] = {arg1, arg2};
return __Pyx_PyCFunction_FastCall(function, args, 2);
}
#endif
args = PyTuple_New(2);
if (unlikely(!args)) goto done;
Py_INCREF(arg1);
PyTuple_SET_ITEM(args, 0, arg1);
Py_INCREF(arg2);
PyTuple_SET_ITEM(args, 1, arg2);
Py_INCREF(function);
result = __Pyx_PyObject_Call(function, args, NULL);
Py_DECREF(args);
Py_DECREF(function);
done:
return result;
}
/* PyObjectCallMethO */
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg) {
PyObject *self, *result;
PyCFunction cfunc;
cfunc = PyCFunction_GET_FUNCTION(func);
self = PyCFunction_GET_SELF(func);
if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object")))
return NULL;
result = cfunc(self, arg);
Py_LeaveRecursiveCall();
if (unlikely(!result) && unlikely(!PyErr_Occurred())) {
PyErr_SetString(
PyExc_SystemError,
"NULL result without error in PyObject_Call");
}
return result;
}
#endif
/* PyObjectCallOneArg */
#if CYTHON_COMPILING_IN_CPYTHON
static PyObject* __Pyx__PyObject_CallOneArg(PyObject *func, PyObject *arg) {
PyObject *result;
PyObject *args = PyTuple_New(1);
if (unlikely(!args)) return NULL;
Py_INCREF(arg);
PyTuple_SET_ITEM(args, 0, arg);
result = __Pyx_PyObject_Call(func, args, NULL);
Py_DECREF(args);
return result;
}
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) {
#if CYTHON_FAST_PYCALL
if (PyFunction_Check(func)) {
return __Pyx_PyFunction_FastCall(func, &arg, 1);
}
#endif
if (likely(PyCFunction_Check(func))) {
if (likely(PyCFunction_GET_FLAGS(func) & METH_O)) {
return __Pyx_PyObject_CallMethO(func, arg);
#if CYTHON_FAST_PYCCALL
} else if (__Pyx_PyFastCFunction_Check(func)) {
return __Pyx_PyCFunction_FastCall(func, &arg, 1);
#endif
}
}
return __Pyx__PyObject_CallOneArg(func, arg);
}
#else
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) {
PyObject *result;
PyObject *args = PyTuple_Pack(1, arg);
if (unlikely(!args)) return NULL;
result = __Pyx_PyObject_Call(func, args, NULL);
Py_DECREF(args);
return result;
}
#endif
/* BytesEquals */
static CYTHON_INLINE int __Pyx_PyBytes_Equals(PyObject* s1, PyObject* s2, int equals) {
#if CYTHON_COMPILING_IN_PYPY
return PyObject_RichCompareBool(s1, s2, equals);
#else
if (s1 == s2) {
return (equals == Py_EQ);
} else if (PyBytes_CheckExact(s1) & PyBytes_CheckExact(s2)) {
const char *ps1, *ps2;
Py_ssize_t length = PyBytes_GET_SIZE(s1);
if (length != PyBytes_GET_SIZE(s2))
return (equals == Py_NE);
ps1 = PyBytes_AS_STRING(s1);
ps2 = PyBytes_AS_STRING(s2);
if (ps1[0] != ps2[0]) {
return (equals == Py_NE);
} else if (length == 1) {
return (equals == Py_EQ);
} else {
int result;
#if CYTHON_USE_UNICODE_INTERNALS
Py_hash_t hash1, hash2;
hash1 = ((PyBytesObject*)s1)->ob_shash;
hash2 = ((PyBytesObject*)s2)->ob_shash;
if (hash1 != hash2 && hash1 != -1 && hash2 != -1) {
return (equals == Py_NE);
}
#endif
result = memcmp(ps1, ps2, (size_t)length);
return (equals == Py_EQ) ? (result == 0) : (result != 0);
}
} else if ((s1 == Py_None) & PyBytes_CheckExact(s2)) {
return (equals == Py_NE);
} else if ((s2 == Py_None) & PyBytes_CheckExact(s1)) {
return (equals == Py_NE);
} else {
int result;
PyObject* py_result = PyObject_RichCompare(s1, s2, equals);
if (!py_result)
return -1;
result = __Pyx_PyObject_IsTrue(py_result);
Py_DECREF(py_result);
return result;
}
#endif
}
/* UnicodeEquals */
static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals) {
#if CYTHON_COMPILING_IN_PYPY
return PyObject_RichCompareBool(s1, s2, equals);
#else
#if PY_MAJOR_VERSION < 3
PyObject* owned_ref = NULL;
#endif
int s1_is_unicode, s2_is_unicode;
if (s1 == s2) {
goto return_eq;
}
s1_is_unicode = PyUnicode_CheckExact(s1);
s2_is_unicode = PyUnicode_CheckExact(s2);
#if PY_MAJOR_VERSION < 3
if ((s1_is_unicode & (!s2_is_unicode)) && PyString_CheckExact(s2)) {
owned_ref = PyUnicode_FromObject(s2);
if (unlikely(!owned_ref))
return -1;
s2 = owned_ref;
s2_is_unicode = 1;
} else if ((s2_is_unicode & (!s1_is_unicode)) && PyString_CheckExact(s1)) {
owned_ref = PyUnicode_FromObject(s1);
if (unlikely(!owned_ref))
return -1;
s1 = owned_ref;
s1_is_unicode = 1;
} else if (((!s2_is_unicode) & (!s1_is_unicode))) {
return __Pyx_PyBytes_Equals(s1, s2, equals);
}
#endif
if (s1_is_unicode & s2_is_unicode) {
Py_ssize_t length;
int kind;
void *data1, *data2;
if (unlikely(__Pyx_PyUnicode_READY(s1) < 0) || unlikely(__Pyx_PyUnicode_READY(s2) < 0))
return -1;
length = __Pyx_PyUnicode_GET_LENGTH(s1);
if (length != __Pyx_PyUnicode_GET_LENGTH(s2)) {
goto return_ne;
}
#if CYTHON_USE_UNICODE_INTERNALS
{
Py_hash_t hash1, hash2;
#if CYTHON_PEP393_ENABLED
hash1 = ((PyASCIIObject*)s1)->hash;
hash2 = ((PyASCIIObject*)s2)->hash;
#else
hash1 = ((PyUnicodeObject*)s1)->hash;
hash2 = ((PyUnicodeObject*)s2)->hash;
#endif
if (hash1 != hash2 && hash1 != -1 && hash2 != -1) {
goto return_ne;
}
}
#endif
kind = __Pyx_PyUnicode_KIND(s1);
if (kind != __Pyx_PyUnicode_KIND(s2)) {
goto return_ne;
}
data1 = __Pyx_PyUnicode_DATA(s1);
data2 = __Pyx_PyUnicode_DATA(s2);
if (__Pyx_PyUnicode_READ(kind, data1, 0) != __Pyx_PyUnicode_READ(kind, data2, 0)) {
goto return_ne;
} else if (length == 1) {
goto return_eq;
} else {
int result = memcmp(data1, data2, (size_t)(length * kind));
#if PY_MAJOR_VERSION < 3
Py_XDECREF(owned_ref);
#endif
return (equals == Py_EQ) ? (result == 0) : (result != 0);
}
} else if ((s1 == Py_None) & s2_is_unicode) {
goto return_ne;
} else if ((s2 == Py_None) & s1_is_unicode) {
goto return_ne;
} else {
int result;
PyObject* py_result = PyObject_RichCompare(s1, s2, equals);
#if PY_MAJOR_VERSION < 3
Py_XDECREF(owned_ref);
#endif
if (!py_result)
return -1;
result = __Pyx_PyObject_IsTrue(py_result);
Py_DECREF(py_result);
return result;
}
return_eq:
#if PY_MAJOR_VERSION < 3
Py_XDECREF(owned_ref);
#endif
return (equals == Py_EQ);
return_ne:
#if PY_MAJOR_VERSION < 3
Py_XDECREF(owned_ref);
#endif
return (equals == Py_NE);
#endif
}
/* GetAttr */
static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *o, PyObject *n) {
#if CYTHON_USE_TYPE_SLOTS
#if PY_MAJOR_VERSION >= 3
if (likely(PyUnicode_Check(n)))
#else
if (likely(PyString_Check(n)))
#endif
return __Pyx_PyObject_GetAttrStr(o, n);
#endif
return PyObject_GetAttr(o, n);
}
/* GetItemInt */
static PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j) {
PyObject *r;
if (!j) return NULL;
r = PyObject_GetItem(o, j);
Py_DECREF(j);
return r;
}
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i,
CYTHON_NCP_UNUSED int wraparound,
CYTHON_NCP_UNUSED int boundscheck) {
#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
Py_ssize_t wrapped_i = i;
if (wraparound & unlikely(i < 0)) {
wrapped_i += PyList_GET_SIZE(o);
}
if ((!boundscheck) || likely(__Pyx_is_valid_index(wrapped_i, PyList_GET_SIZE(o)))) {
PyObject *r = PyList_GET_ITEM(o, wrapped_i);
Py_INCREF(r);
return r;
}
return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
#else
return PySequence_GetItem(o, i);
#endif
}
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i,
CYTHON_NCP_UNUSED int wraparound,
CYTHON_NCP_UNUSED int boundscheck) {
#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
Py_ssize_t wrapped_i = i;
if (wraparound & unlikely(i < 0)) {
wrapped_i += PyTuple_GET_SIZE(o);
}
if ((!boundscheck) || likely(__Pyx_is_valid_index(wrapped_i, PyTuple_GET_SIZE(o)))) {
PyObject *r = PyTuple_GET_ITEM(o, wrapped_i);
Py_INCREF(r);
return r;
}
return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
#else
return PySequence_GetItem(o, i);
#endif
}
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i, int is_list,
CYTHON_NCP_UNUSED int wraparound,
CYTHON_NCP_UNUSED int boundscheck) {
#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS && CYTHON_USE_TYPE_SLOTS
if (is_list || PyList_CheckExact(o)) {
Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyList_GET_SIZE(o);
if ((!boundscheck) || (likely(__Pyx_is_valid_index(n, PyList_GET_SIZE(o))))) {
PyObject *r = PyList_GET_ITEM(o, n);
Py_INCREF(r);
return r;
}
}
else if (PyTuple_CheckExact(o)) {
Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyTuple_GET_SIZE(o);
if ((!boundscheck) || likely(__Pyx_is_valid_index(n, PyTuple_GET_SIZE(o)))) {
PyObject *r = PyTuple_GET_ITEM(o, n);
Py_INCREF(r);
return r;
}
} else {
PySequenceMethods *m = Py_TYPE(o)->tp_as_sequence;
if (likely(m && m->sq_item)) {
if (wraparound && unlikely(i < 0) && likely(m->sq_length)) {
Py_ssize_t l = m->sq_length(o);
if (likely(l >= 0)) {
i += l;
} else {
if (!PyErr_ExceptionMatches(PyExc_OverflowError))
return NULL;
PyErr_Clear();
}
}
return m->sq_item(o, i);
}
}
#else
if (is_list || PySequence_Check(o)) {
return PySequence_GetItem(o, i);
}
#endif
return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
}
/* ObjectGetItem */
#if CYTHON_USE_TYPE_SLOTS
static PyObject *__Pyx_PyObject_GetIndex(PyObject *obj, PyObject* index) {
PyObject *runerr;
Py_ssize_t key_value;
PySequenceMethods *m = Py_TYPE(obj)->tp_as_sequence;
if (unlikely(!(m && m->sq_item))) {
PyErr_Format(PyExc_TypeError, "'%.200s' object is not subscriptable", Py_TYPE(obj)->tp_name);
return NULL;
}
key_value = __Pyx_PyIndex_AsSsize_t(index);
if (likely(key_value != -1 || !(runerr = PyErr_Occurred()))) {
return __Pyx_GetItemInt_Fast(obj, key_value, 0, 1, 1);
}
if (PyErr_GivenExceptionMatches(runerr, PyExc_OverflowError)) {
PyErr_Clear();
PyErr_Format(PyExc_IndexError, "cannot fit '%.200s' into an index-sized integer", Py_TYPE(index)->tp_name);
}
return NULL;
}
static PyObject *__Pyx_PyObject_GetItem(PyObject *obj, PyObject* key) {
PyMappingMethods *m = Py_TYPE(obj)->tp_as_mapping;
if (likely(m && m->mp_subscript)) {
return m->mp_subscript(obj, key);
}
return __Pyx_PyObject_GetIndex(obj, key);
}
#endif
/* decode_c_string */
static CYTHON_INLINE PyObject* __Pyx_decode_c_string(
const char* cstring, Py_ssize_t start, Py_ssize_t stop,
const char* encoding, const char* errors,
PyObject* (*decode_func)(const char *s, Py_ssize_t size, const char *errors)) {
Py_ssize_t length;
if (unlikely((start < 0) | (stop < 0))) {
size_t slen = strlen(cstring);
if (unlikely(slen > (size_t) PY_SSIZE_T_MAX)) {
PyErr_SetString(PyExc_OverflowError,
"c-string too long to convert to Python");
return NULL;
}
length = (Py_ssize_t) slen;
if (start < 0) {
start += length;
if (start < 0)
start = 0;
}
if (stop < 0)
stop += length;
}
if (unlikely(stop <= start))
return __Pyx_NewRef(__pyx_empty_unicode);
length = stop - start;
cstring += start;
if (decode_func) {
return decode_func(cstring, length, errors);
} else {
return PyUnicode_Decode(cstring, length, encoding, errors);
}
}
/* PyErrExceptionMatches */
#if CYTHON_FAST_THREAD_STATE
static int __Pyx_PyErr_ExceptionMatchesTuple(PyObject *exc_type, PyObject *tuple) {
Py_ssize_t i, n;
n = PyTuple_GET_SIZE(tuple);
#if PY_MAJOR_VERSION >= 3
for (i=0; i<n; i++) {
if (exc_type == PyTuple_GET_ITEM(tuple, i)) return 1;
}
#endif
for (i=0; i<n; i++) {
if (__Pyx_PyErr_GivenExceptionMatches(exc_type, PyTuple_GET_ITEM(tuple, i))) return 1;
}
return 0;
}
static CYTHON_INLINE int __Pyx_PyErr_ExceptionMatchesInState(PyThreadState* tstate, PyObject* err) {
PyObject *exc_type = tstate->curexc_type;
if (exc_type == err) return 1;
if (unlikely(!exc_type)) return 0;
if (unlikely(PyTuple_Check(err)))
return __Pyx_PyErr_ExceptionMatchesTuple(exc_type, err);
return __Pyx_PyErr_GivenExceptionMatches(exc_type, err);
}
#endif
/* GetAttr3 */
static PyObject *__Pyx_GetAttr3Default(PyObject *d) {
__Pyx_PyThreadState_declare
__Pyx_PyThreadState_assign
if (unlikely(!__Pyx_PyErr_ExceptionMatches(PyExc_AttributeError)))
return NULL;
__Pyx_PyErr_Clear();
Py_INCREF(d);
return d;
}
static CYTHON_INLINE PyObject *__Pyx_GetAttr3(PyObject *o, PyObject *n, PyObject *d) {
PyObject *r = __Pyx_GetAttr(o, n);
return (likely(r)) ? r : __Pyx_GetAttr3Default(d);
}
/* PyDictVersioning */
#if CYTHON_USE_DICT_VERSIONS && CYTHON_USE_TYPE_SLOTS
static CYTHON_INLINE PY_UINT64_T __Pyx_get_tp_dict_version(PyObject *obj) {
PyObject *dict = Py_TYPE(obj)->tp_dict;
return likely(dict) ? __PYX_GET_DICT_VERSION(dict) : 0;
}
static CYTHON_INLINE PY_UINT64_T __Pyx_get_object_dict_version(PyObject *obj) {
PyObject **dictptr = NULL;
Py_ssize_t offset = Py_TYPE(obj)->tp_dictoffset;
if (offset) {
#if CYTHON_COMPILING_IN_CPYTHON
dictptr = (likely(offset > 0)) ? (PyObject **) ((char *)obj + offset) : _PyObject_GetDictPtr(obj);
#else
dictptr = _PyObject_GetDictPtr(obj);
#endif
}
return (dictptr && *dictptr) ? __PYX_GET_DICT_VERSION(*dictptr) : 0;
}
static CYTHON_INLINE int __Pyx_object_dict_version_matches(PyObject* obj, PY_UINT64_T tp_dict_version, PY_UINT64_T obj_dict_version) {
PyObject *dict = Py_TYPE(obj)->tp_dict;
if (unlikely(!dict) || unlikely(tp_dict_version != __PYX_GET_DICT_VERSION(dict)))
return 0;
return obj_dict_version == __Pyx_get_object_dict_version(obj);
}
#endif
/* GetModuleGlobalName */
#if CYTHON_USE_DICT_VERSIONS
static PyObject *__Pyx__GetModuleGlobalName(PyObject *name, PY_UINT64_T *dict_version, PyObject **dict_cached_value)
#else
static CYTHON_INLINE PyObject *__Pyx__GetModuleGlobalName(PyObject *name)
#endif
{
PyObject *result;
#if !CYTHON_AVOID_BORROWED_REFS
#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030500A1
result = _PyDict_GetItem_KnownHash(__pyx_d, name, ((PyASCIIObject *) name)->hash);
__PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version)
if (likely(result)) {
return __Pyx_NewRef(result);
} else if (unlikely(PyErr_Occurred())) {
return NULL;
}
#else
result = PyDict_GetItem(__pyx_d, name);
__PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version)
if (likely(result)) {
return __Pyx_NewRef(result);
}
#endif
#else
result = PyObject_GetItem(__pyx_d, name);
__PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version)
if (likely(result)) {
return __Pyx_NewRef(result);
}
PyErr_Clear();
#endif
return __Pyx_GetBuiltinName(name);
}
/* RaiseTooManyValuesToUnpack */
static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected) {
PyErr_Format(PyExc_ValueError,
"too many values to unpack (expected %" CYTHON_FORMAT_SSIZE_T "d)", expected);
}
/* RaiseNeedMoreValuesToUnpack */
static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index) {
PyErr_Format(PyExc_ValueError,
"need more than %" CYTHON_FORMAT_SSIZE_T "d value%.1s to unpack",
index, (index == 1) ? "" : "s");
}
/* RaiseNoneIterError */
static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void) {
PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable");
}
/* ExtTypeTest */
static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type) {
if (unlikely(!type)) {
PyErr_SetString(PyExc_SystemError, "Missing type object");
return 0;
}
if (likely(__Pyx_TypeCheck(obj, type)))
return 1;
PyErr_Format(PyExc_TypeError, "Cannot convert %.200s to %.200s",
Py_TYPE(obj)->tp_name, type->tp_name);
return 0;
}
/* GetTopmostException */
#if CYTHON_USE_EXC_INFO_STACK
static _PyErr_StackItem *
__Pyx_PyErr_GetTopmostException(PyThreadState *tstate)
{
_PyErr_StackItem *exc_info = tstate->exc_info;
while ((exc_info->exc_type == NULL || exc_info->exc_type == Py_None) &&
exc_info->previous_item != NULL)
{
exc_info = exc_info->previous_item;
}
return exc_info;
}
#endif
/* SaveResetException */
#if CYTHON_FAST_THREAD_STATE
static CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) {
#if CYTHON_USE_EXC_INFO_STACK
_PyErr_StackItem *exc_info = __Pyx_PyErr_GetTopmostException(tstate);
*type = exc_info->exc_type;
*value = exc_info->exc_value;
*tb = exc_info->exc_traceback;
#else
*type = tstate->exc_type;
*value = tstate->exc_value;
*tb = tstate->exc_traceback;
#endif
Py_XINCREF(*type);
Py_XINCREF(*value);
Py_XINCREF(*tb);
}
static CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) {
PyObject *tmp_type, *tmp_value, *tmp_tb;
#if CYTHON_USE_EXC_INFO_STACK
_PyErr_StackItem *exc_info = tstate->exc_info;
tmp_type = exc_info->exc_type;
tmp_value = exc_info->exc_value;
tmp_tb = exc_info->exc_traceback;
exc_info->exc_type = type;
exc_info->exc_value = value;
exc_info->exc_traceback = tb;
#else
tmp_type = tstate->exc_type;
tmp_value = tstate->exc_value;
tmp_tb = tstate->exc_traceback;
tstate->exc_type = type;
tstate->exc_value = value;
tstate->exc_traceback = tb;
#endif
Py_XDECREF(tmp_type);
Py_XDECREF(tmp_value);
Py_XDECREF(tmp_tb);
}
#endif
/* GetException */
#if CYTHON_FAST_THREAD_STATE
static int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb)
#else
static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb)
#endif
{
PyObject *local_type, *local_value, *local_tb;
#if CYTHON_FAST_THREAD_STATE
PyObject *tmp_type, *tmp_value, *tmp_tb;
local_type = tstate->curexc_type;
local_value = tstate->curexc_value;
local_tb = tstate->curexc_traceback;
tstate->curexc_type = 0;
tstate->curexc_value = 0;
tstate->curexc_traceback = 0;
#else
PyErr_Fetch(&local_type, &local_value, &local_tb);
#endif
PyErr_NormalizeException(&local_type, &local_value, &local_tb);
#if CYTHON_FAST_THREAD_STATE
if (unlikely(tstate->curexc_type))
#else
if (unlikely(PyErr_Occurred()))
#endif
goto bad;
#if PY_MAJOR_VERSION >= 3
if (local_tb) {
if (unlikely(PyException_SetTraceback(local_value, local_tb) < 0))
goto bad;
}
#endif
Py_XINCREF(local_tb);
Py_XINCREF(local_type);
Py_XINCREF(local_value);
*type = local_type;
*value = local_value;
*tb = local_tb;
#if CYTHON_FAST_THREAD_STATE
#if CYTHON_USE_EXC_INFO_STACK
{
_PyErr_StackItem *exc_info = tstate->exc_info;
tmp_type = exc_info->exc_type;
tmp_value = exc_info->exc_value;
tmp_tb = exc_info->exc_traceback;
exc_info->exc_type = local_type;
exc_info->exc_value = local_value;
exc_info->exc_traceback = local_tb;
}
#else
tmp_type = tstate->exc_type;
tmp_value = tstate->exc_value;
tmp_tb = tstate->exc_traceback;
tstate->exc_type = local_type;
tstate->exc_value = local_value;
tstate->exc_traceback = local_tb;
#endif
Py_XDECREF(tmp_type);
Py_XDECREF(tmp_value);
Py_XDECREF(tmp_tb);
#else
PyErr_SetExcInfo(local_type, local_value, local_tb);
#endif
return 0;
bad:
*type = 0;
*value = 0;
*tb = 0;
Py_XDECREF(local_type);
Py_XDECREF(local_value);
Py_XDECREF(local_tb);
return -1;
}
/* SwapException */
#if CYTHON_FAST_THREAD_STATE
static CYTHON_INLINE void __Pyx__ExceptionSwap(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) {
PyObject *tmp_type, *tmp_value, *tmp_tb;
#if CYTHON_USE_EXC_INFO_STACK
_PyErr_StackItem *exc_info = tstate->exc_info;
tmp_type = exc_info->exc_type;
tmp_value = exc_info->exc_value;
tmp_tb = exc_info->exc_traceback;
exc_info->exc_type = *type;
exc_info->exc_value = *value;
exc_info->exc_traceback = *tb;
#else
tmp_type = tstate->exc_type;
tmp_value = tstate->exc_value;
tmp_tb = tstate->exc_traceback;
tstate->exc_type = *type;
tstate->exc_value = *value;
tstate->exc_traceback = *tb;
#endif
*type = tmp_type;
*value = tmp_value;
*tb = tmp_tb;
}
#else
static CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, PyObject **tb) {
PyObject *tmp_type, *tmp_value, *tmp_tb;
PyErr_GetExcInfo(&tmp_type, &tmp_value, &tmp_tb);
PyErr_SetExcInfo(*type, *value, *tb);
*type = tmp_type;
*value = tmp_value;
*tb = tmp_tb;
}
#endif
/* Import */
static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level) {
PyObject *empty_list = 0;
PyObject *module = 0;
PyObject *global_dict = 0;
PyObject *empty_dict = 0;
PyObject *list;
#if PY_MAJOR_VERSION < 3
PyObject *py_import;
py_import = __Pyx_PyObject_GetAttrStr(__pyx_b, __pyx_n_s_import);
if (!py_import)
goto bad;
#endif
if (from_list)
list = from_list;
else {
empty_list = PyList_New(0);
if (!empty_list)
goto bad;
list = empty_list;
}
global_dict = PyModule_GetDict(__pyx_m);
if (!global_dict)
goto bad;
empty_dict = PyDict_New();
if (!empty_dict)
goto bad;
{
#if PY_MAJOR_VERSION >= 3
if (level == -1) {
if ((1) && (strchr(__Pyx_MODULE_NAME, '.'))) {
module = PyImport_ImportModuleLevelObject(
name, global_dict, empty_dict, list, 1);
if (!module) {
if (!PyErr_ExceptionMatches(PyExc_ImportError))
goto bad;
PyErr_Clear();
}
}
level = 0;
}
#endif
if (!module) {
#if PY_MAJOR_VERSION < 3
PyObject *py_level = PyInt_FromLong(level);
if (!py_level)
goto bad;
module = PyObject_CallFunctionObjArgs(py_import,
name, global_dict, empty_dict, list, py_level, (PyObject *)NULL);
Py_DECREF(py_level);
#else
module = PyImport_ImportModuleLevelObject(
name, global_dict, empty_dict, list, level);
#endif
}
}
bad:
#if PY_MAJOR_VERSION < 3
Py_XDECREF(py_import);
#endif
Py_XDECREF(empty_list);
Py_XDECREF(empty_dict);
return module;
}
/* FastTypeChecks */
#if CYTHON_COMPILING_IN_CPYTHON
static int __Pyx_InBases(PyTypeObject *a, PyTypeObject *b) {
while (a) {
a = a->tp_base;
if (a == b)
return 1;
}
return b == &PyBaseObject_Type;
}
static CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b) {
PyObject *mro;
if (a == b) return 1;
mro = a->tp_mro;
if (likely(mro)) {
Py_ssize_t i, n;
n = PyTuple_GET_SIZE(mro);
for (i = 0; i < n; i++) {
if (PyTuple_GET_ITEM(mro, i) == (PyObject *)b)
return 1;
}
return 0;
}
return __Pyx_InBases(a, b);
}
#if PY_MAJOR_VERSION == 2
static int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject* exc_type2) {
PyObject *exception, *value, *tb;
int res;
__Pyx_PyThreadState_declare
__Pyx_PyThreadState_assign
__Pyx_ErrFetch(&exception, &value, &tb);
res = exc_type1 ? PyObject_IsSubclass(err, exc_type1) : 0;
if (unlikely(res == -1)) {
PyErr_WriteUnraisable(err);
res = 0;
}
if (!res) {
res = PyObject_IsSubclass(err, exc_type2);
if (unlikely(res == -1)) {
PyErr_WriteUnraisable(err);
res = 0;
}
}
__Pyx_ErrRestore(exception, value, tb);
return res;
}
#else
static CYTHON_INLINE int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject *exc_type2) {
int res = exc_type1 ? __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type1) : 0;
if (!res) {
res = __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type2);
}
return res;
}
#endif
static int __Pyx_PyErr_GivenExceptionMatchesTuple(PyObject *exc_type, PyObject *tuple) {
Py_ssize_t i, n;
assert(PyExceptionClass_Check(exc_type));
n = PyTuple_GET_SIZE(tuple);
#if PY_MAJOR_VERSION >= 3
for (i=0; i<n; i++) {
if (exc_type == PyTuple_GET_ITEM(tuple, i)) return 1;
}
#endif
for (i=0; i<n; i++) {
PyObject *t = PyTuple_GET_ITEM(tuple, i);
#if PY_MAJOR_VERSION < 3
if (likely(exc_type == t)) return 1;
#endif
if (likely(PyExceptionClass_Check(t))) {
if (__Pyx_inner_PyErr_GivenExceptionMatches2(exc_type, NULL, t)) return 1;
} else {
}
}
return 0;
}
static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches(PyObject *err, PyObject* exc_type) {
if (likely(err == exc_type)) return 1;
if (likely(PyExceptionClass_Check(err))) {
if (likely(PyExceptionClass_Check(exc_type))) {
return __Pyx_inner_PyErr_GivenExceptionMatches2(err, NULL, exc_type);
} else if (likely(PyTuple_Check(exc_type))) {
return __Pyx_PyErr_GivenExceptionMatchesTuple(err, exc_type);
} else {
}
}
return PyErr_GivenExceptionMatches(err, exc_type);
}
static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches2(PyObject *err, PyObject *exc_type1, PyObject *exc_type2) {
assert(PyExceptionClass_Check(exc_type1));
assert(PyExceptionClass_Check(exc_type2));
if (likely(err == exc_type1 || err == exc_type2)) return 1;
if (likely(PyExceptionClass_Check(err))) {
return __Pyx_inner_PyErr_GivenExceptionMatches2(err, exc_type1, exc_type2);
}
return (PyErr_GivenExceptionMatches(err, exc_type1) || PyErr_GivenExceptionMatches(err, exc_type2));
}
#endif
/* PyIntBinop */
#if !CYTHON_COMPILING_IN_PYPY
static PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, CYTHON_UNUSED long intval, int inplace, int zerodivision_check) {
(void)inplace;
(void)zerodivision_check;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_CheckExact(op1))) {
const long b = intval;
long x;
long a = PyInt_AS_LONG(op1);
x = (long)((unsigned long)a + b);
if (likely((x^a) >= 0 || (x^b) >= 0))
return PyInt_FromLong(x);
return PyLong_Type.tp_as_number->nb_add(op1, op2);
}
#endif
#if CYTHON_USE_PYLONG_INTERNALS
if (likely(PyLong_CheckExact(op1))) {
const long b = intval;
long a, x;
#ifdef HAVE_LONG_LONG
const PY_LONG_LONG llb = intval;
PY_LONG_LONG lla, llx;
#endif
const digit* digits = ((PyLongObject*)op1)->ob_digit;
const Py_ssize_t size = Py_SIZE(op1);
if (likely(__Pyx_sst_abs(size) <= 1)) {
a = likely(size) ? digits[0] : 0;
if (size == -1) a = -a;
} else {
switch (size) {
case -2:
if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
a = -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
#ifdef HAVE_LONG_LONG
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) {
lla = -(PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
#endif
}
CYTHON_FALLTHROUGH;
case 2:
if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
a = (long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
#ifdef HAVE_LONG_LONG
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) {
lla = (PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
#endif
}
CYTHON_FALLTHROUGH;
case -3:
if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
a = -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
#ifdef HAVE_LONG_LONG
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) {
lla = -(PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
#endif
}
CYTHON_FALLTHROUGH;
case 3:
if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
a = (long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
#ifdef HAVE_LONG_LONG
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) {
lla = (PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
#endif
}
CYTHON_FALLTHROUGH;
case -4:
if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
a = -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
#ifdef HAVE_LONG_LONG
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) {
lla = -(PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
#endif
}
CYTHON_FALLTHROUGH;
case 4:
if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
a = (long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
#ifdef HAVE_LONG_LONG
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) {
lla = (PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
#endif
}
CYTHON_FALLTHROUGH;
default: return PyLong_Type.tp_as_number->nb_add(op1, op2);
}
}
x = a + b;
return PyLong_FromLong(x);
#ifdef HAVE_LONG_LONG
long_long:
llx = lla + llb;
return PyLong_FromLongLong(llx);
#endif
}
#endif
if (PyFloat_CheckExact(op1)) {
const long b = intval;
double a = PyFloat_AS_DOUBLE(op1);
double result;
PyFPE_START_PROTECT("add", return NULL)
result = ((double)a) + (double)b;
PyFPE_END_PROTECT(result)
return PyFloat_FromDouble(result);
}
return (inplace ? PyNumber_InPlaceAdd : PyNumber_Add)(op1, op2);
}
#endif
/* None */
static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname) {
PyErr_Format(PyExc_UnboundLocalError, "local variable '%s' referenced before assignment", varname);
}
/* ImportFrom */
static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name) {
PyObject* value = __Pyx_PyObject_GetAttrStr(module, name);
if (unlikely(!value) && PyErr_ExceptionMatches(PyExc_AttributeError)) {
PyErr_Format(PyExc_ImportError,
#if PY_MAJOR_VERSION < 3
"cannot import name %.230s", PyString_AS_STRING(name));
#else
"cannot import name %S", name);
#endif
}
return value;
}
/* HasAttr */
static CYTHON_INLINE int __Pyx_HasAttr(PyObject *o, PyObject *n) {
PyObject *r;
if (unlikely(!__Pyx_PyBaseString_Check(n))) {
PyErr_SetString(PyExc_TypeError,
"hasattr(): attribute name must be string");
return -1;
}
r = __Pyx_GetAttr(o, n);
if (unlikely(!r)) {
PyErr_Clear();
return 0;
} else {
Py_DECREF(r);
return 1;
}
}
/* PyObject_GenericGetAttrNoDict */
#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000
static PyObject *__Pyx_RaiseGenericGetAttributeError(PyTypeObject *tp, PyObject *attr_name) {
PyErr_Format(PyExc_AttributeError,
#if PY_MAJOR_VERSION >= 3
"'%.50s' object has no attribute '%U'",
tp->tp_name, attr_name);
#else
"'%.50s' object has no attribute '%.400s'",
tp->tp_name, PyString_AS_STRING(attr_name));
#endif
return NULL;
}
static CYTHON_INLINE PyObject* __Pyx_PyObject_GenericGetAttrNoDict(PyObject* obj, PyObject* attr_name) {
PyObject *descr;
PyTypeObject *tp = Py_TYPE(obj);
if (unlikely(!PyString_Check(attr_name))) {
return PyObject_GenericGetAttr(obj, attr_name);
}
assert(!tp->tp_dictoffset);
descr = _PyType_Lookup(tp, attr_name);
if (unlikely(!descr)) {
return __Pyx_RaiseGenericGetAttributeError(tp, attr_name);
}
Py_INCREF(descr);
#if PY_MAJOR_VERSION < 3
if (likely(PyType_HasFeature(Py_TYPE(descr), Py_TPFLAGS_HAVE_CLASS)))
#endif
{
descrgetfunc f = Py_TYPE(descr)->tp_descr_get;
if (unlikely(f)) {
PyObject *res = f(descr, obj, (PyObject *)tp);
Py_DECREF(descr);
return res;
}
}
return descr;
}
#endif
/* PyObject_GenericGetAttr */
#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000
static PyObject* __Pyx_PyObject_GenericGetAttr(PyObject* obj, PyObject* attr_name) {
if (unlikely(Py_TYPE(obj)->tp_dictoffset)) {
return PyObject_GenericGetAttr(obj, attr_name);
}
return __Pyx_PyObject_GenericGetAttrNoDict(obj, attr_name);
}
#endif
/* SetVTable */
static int __Pyx_SetVtable(PyObject *dict, void *vtable) {
#if PY_VERSION_HEX >= 0x02070000
PyObject *ob = PyCapsule_New(vtable, 0, 0);
#else
PyObject *ob = PyCObject_FromVoidPtr(vtable, 0);
#endif
if (!ob)
goto bad;
if (PyDict_SetItem(dict, __pyx_n_s_pyx_vtable, ob) < 0)
goto bad;
Py_DECREF(ob);
return 0;
bad:
Py_XDECREF(ob);
return -1;
}
/* PyObjectGetAttrStrNoError */
static void __Pyx_PyObject_GetAttrStr_ClearAttributeError(void) {
__Pyx_PyThreadState_declare
__Pyx_PyThreadState_assign
if (likely(__Pyx_PyErr_ExceptionMatches(PyExc_AttributeError)))
__Pyx_PyErr_Clear();
}
static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStrNoError(PyObject* obj, PyObject* attr_name) {
PyObject *result;
#if CYTHON_COMPILING_IN_CPYTHON && CYTHON_USE_TYPE_SLOTS && PY_VERSION_HEX >= 0x030700B1
PyTypeObject* tp = Py_TYPE(obj);
if (likely(tp->tp_getattro == PyObject_GenericGetAttr)) {
return _PyObject_GenericGetAttrWithDict(obj, attr_name, NULL, 1);
}
#endif
result = __Pyx_PyObject_GetAttrStr(obj, attr_name);
if (unlikely(!result)) {
__Pyx_PyObject_GetAttrStr_ClearAttributeError();
}
return result;
}
/* SetupReduce */
static int __Pyx_setup_reduce_is_named(PyObject* meth, PyObject* name) {
int ret;
PyObject *name_attr;
name_attr = __Pyx_PyObject_GetAttrStr(meth, __pyx_n_s_name_2);
if (likely(name_attr)) {
ret = PyObject_RichCompareBool(name_attr, name, Py_EQ);
} else {
ret = -1;
}
if (unlikely(ret < 0)) {
PyErr_Clear();
ret = 0;
}
Py_XDECREF(name_attr);
return ret;
}
static int __Pyx_setup_reduce(PyObject* type_obj) {
int ret = 0;
PyObject *object_reduce = NULL;
PyObject *object_reduce_ex = NULL;
PyObject *reduce = NULL;
PyObject *reduce_ex = NULL;
PyObject *reduce_cython = NULL;
PyObject *setstate = NULL;
PyObject *setstate_cython = NULL;
#if CYTHON_USE_PYTYPE_LOOKUP
if (_PyType_Lookup((PyTypeObject*)type_obj, __pyx_n_s_getstate)) goto __PYX_GOOD;
#else
if (PyObject_HasAttr(type_obj, __pyx_n_s_getstate)) goto __PYX_GOOD;
#endif
#if CYTHON_USE_PYTYPE_LOOKUP
object_reduce_ex = _PyType_Lookup(&PyBaseObject_Type, __pyx_n_s_reduce_ex); if (!object_reduce_ex) goto __PYX_BAD;
#else
object_reduce_ex = __Pyx_PyObject_GetAttrStr((PyObject*)&PyBaseObject_Type, __pyx_n_s_reduce_ex); if (!object_reduce_ex) goto __PYX_BAD;
#endif
reduce_ex = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_reduce_ex); if (unlikely(!reduce_ex)) goto __PYX_BAD;
if (reduce_ex == object_reduce_ex) {
#if CYTHON_USE_PYTYPE_LOOKUP
object_reduce = _PyType_Lookup(&PyBaseObject_Type, __pyx_n_s_reduce); if (!object_reduce) goto __PYX_BAD;
#else
object_reduce = __Pyx_PyObject_GetAttrStr((PyObject*)&PyBaseObject_Type, __pyx_n_s_reduce); if (!object_reduce) goto __PYX_BAD;
#endif
reduce = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_reduce); if (unlikely(!reduce)) goto __PYX_BAD;
if (reduce == object_reduce || __Pyx_setup_reduce_is_named(reduce, __pyx_n_s_reduce_cython)) {
reduce_cython = __Pyx_PyObject_GetAttrStrNoError(type_obj, __pyx_n_s_reduce_cython);
if (likely(reduce_cython)) {
ret = PyDict_SetItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_reduce, reduce_cython); if (unlikely(ret < 0)) goto __PYX_BAD;
ret = PyDict_DelItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_reduce_cython); if (unlikely(ret < 0)) goto __PYX_BAD;
} else if (reduce == object_reduce || PyErr_Occurred()) {
goto __PYX_BAD;
}
setstate = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_setstate);
if (!setstate) PyErr_Clear();
if (!setstate || __Pyx_setup_reduce_is_named(setstate, __pyx_n_s_setstate_cython)) {
setstate_cython = __Pyx_PyObject_GetAttrStrNoError(type_obj, __pyx_n_s_setstate_cython);
if (likely(setstate_cython)) {
ret = PyDict_SetItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_setstate, setstate_cython); if (unlikely(ret < 0)) goto __PYX_BAD;
ret = PyDict_DelItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_setstate_cython); if (unlikely(ret < 0)) goto __PYX_BAD;
} else if (!setstate || PyErr_Occurred()) {
goto __PYX_BAD;
}
}
PyType_Modified((PyTypeObject*)type_obj);
}
}
goto __PYX_GOOD;
__PYX_BAD:
if (!PyErr_Occurred())
PyErr_Format(PyExc_RuntimeError, "Unable to initialize pickling for %s", ((PyTypeObject*)type_obj)->tp_name);
ret = -1;
__PYX_GOOD:
#if !CYTHON_USE_PYTYPE_LOOKUP
Py_XDECREF(object_reduce);
Py_XDECREF(object_reduce_ex);
#endif
Py_XDECREF(reduce);
Py_XDECREF(reduce_ex);
Py_XDECREF(reduce_cython);
Py_XDECREF(setstate);
Py_XDECREF(setstate_cython);
return ret;
}
/* CLineInTraceback */
#ifndef CYTHON_CLINE_IN_TRACEBACK
static int __Pyx_CLineForTraceback(CYTHON_NCP_UNUSED PyThreadState *tstate, int c_line) {
PyObject *use_cline;
PyObject *ptype, *pvalue, *ptraceback;
#if CYTHON_COMPILING_IN_CPYTHON
PyObject **cython_runtime_dict;
#endif
if (unlikely(!__pyx_cython_runtime)) {
return c_line;
}
__Pyx_ErrFetchInState(tstate, &ptype, &pvalue, &ptraceback);
#if CYTHON_COMPILING_IN_CPYTHON
cython_runtime_dict = _PyObject_GetDictPtr(__pyx_cython_runtime);
if (likely(cython_runtime_dict)) {
__PYX_PY_DICT_LOOKUP_IF_MODIFIED(
use_cline, *cython_runtime_dict,
__Pyx_PyDict_GetItemStr(*cython_runtime_dict, __pyx_n_s_cline_in_traceback))
} else
#endif
{
PyObject *use_cline_obj = __Pyx_PyObject_GetAttrStr(__pyx_cython_runtime, __pyx_n_s_cline_in_traceback);
if (use_cline_obj) {
use_cline = PyObject_Not(use_cline_obj) ? Py_False : Py_True;
Py_DECREF(use_cline_obj);
} else {
PyErr_Clear();
use_cline = NULL;
}
}
if (!use_cline) {
c_line = 0;
PyObject_SetAttr(__pyx_cython_runtime, __pyx_n_s_cline_in_traceback, Py_False);
}
else if (use_cline == Py_False || (use_cline != Py_True && PyObject_Not(use_cline) != 0)) {
c_line = 0;
}
__Pyx_ErrRestoreInState(tstate, ptype, pvalue, ptraceback);
return c_line;
}
#endif
/* CodeObjectCache */
static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line) {
int start = 0, mid = 0, end = count - 1;
if (end >= 0 && code_line > entries[end].code_line) {
return count;
}
while (start < end) {
mid = start + (end - start) / 2;
if (code_line < entries[mid].code_line) {
end = mid;
} else if (code_line > entries[mid].code_line) {
start = mid + 1;
} else {
return mid;
}
}
if (code_line <= entries[mid].code_line) {
return mid;
} else {
return mid + 1;
}
}
static PyCodeObject *__pyx_find_code_object(int code_line) {
PyCodeObject* code_object;
int pos;
if (unlikely(!code_line) || unlikely(!__pyx_code_cache.entries)) {
return NULL;
}
pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line);
if (unlikely(pos >= __pyx_code_cache.count) || unlikely(__pyx_code_cache.entries[pos].code_line != code_line)) {
return NULL;
}
code_object = __pyx_code_cache.entries[pos].code_object;
Py_INCREF(code_object);
return code_object;
}
static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object) {
int pos, i;
__Pyx_CodeObjectCacheEntry* entries = __pyx_code_cache.entries;
if (unlikely(!code_line)) {
return;
}
if (unlikely(!entries)) {
entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Malloc(64*sizeof(__Pyx_CodeObjectCacheEntry));
if (likely(entries)) {
__pyx_code_cache.entries = entries;
__pyx_code_cache.max_count = 64;
__pyx_code_cache.count = 1;
entries[0].code_line = code_line;
entries[0].code_object = code_object;
Py_INCREF(code_object);
}
return;
}
pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line);
if ((pos < __pyx_code_cache.count) && unlikely(__pyx_code_cache.entries[pos].code_line == code_line)) {
PyCodeObject* tmp = entries[pos].code_object;
entries[pos].code_object = code_object;
Py_DECREF(tmp);
return;
}
if (__pyx_code_cache.count == __pyx_code_cache.max_count) {
int new_max = __pyx_code_cache.max_count + 64;
entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Realloc(
__pyx_code_cache.entries, ((size_t)new_max) * sizeof(__Pyx_CodeObjectCacheEntry));
if (unlikely(!entries)) {
return;
}
__pyx_code_cache.entries = entries;
__pyx_code_cache.max_count = new_max;
}
for (i=__pyx_code_cache.count; i>pos; i--) {
entries[i] = entries[i-1];
}
entries[pos].code_line = code_line;
entries[pos].code_object = code_object;
__pyx_code_cache.count++;
Py_INCREF(code_object);
}
/* AddTraceback */
#include "compile.h"
#include "frameobject.h"
#include "traceback.h"
static PyCodeObject* __Pyx_CreateCodeObjectForTraceback(
const char *funcname, int c_line,
int py_line, const char *filename) {
PyCodeObject *py_code = 0;
PyObject *py_srcfile = 0;
PyObject *py_funcname = 0;
#if PY_MAJOR_VERSION < 3
py_srcfile = PyString_FromString(filename);
#else
py_srcfile = PyUnicode_FromString(filename);
#endif
if (!py_srcfile) goto bad;
if (c_line) {
#if PY_MAJOR_VERSION < 3
py_funcname = PyString_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line);
#else
py_funcname = PyUnicode_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line);
#endif
}
else {
#if PY_MAJOR_VERSION < 3
py_funcname = PyString_FromString(funcname);
#else
py_funcname = PyUnicode_FromString(funcname);
#endif
}
if (!py_funcname) goto bad;
py_code = __Pyx_PyCode_New(
0,
0,
0,
0,
0,
__pyx_empty_bytes, /*PyObject *code,*/
__pyx_empty_tuple, /*PyObject *consts,*/
__pyx_empty_tuple, /*PyObject *names,*/
__pyx_empty_tuple, /*PyObject *varnames,*/
__pyx_empty_tuple, /*PyObject *freevars,*/
__pyx_empty_tuple, /*PyObject *cellvars,*/
py_srcfile, /*PyObject *filename,*/
py_funcname, /*PyObject *name,*/
py_line,
__pyx_empty_bytes /*PyObject *lnotab*/
);
Py_DECREF(py_srcfile);
Py_DECREF(py_funcname);
return py_code;
bad:
Py_XDECREF(py_srcfile);
Py_XDECREF(py_funcname);
return NULL;
}
static void __Pyx_AddTraceback(const char *funcname, int c_line,
int py_line, const char *filename) {
PyCodeObject *py_code = 0;
PyFrameObject *py_frame = 0;
PyThreadState *tstate = __Pyx_PyThreadState_Current;
if (c_line) {
c_line = __Pyx_CLineForTraceback(tstate, c_line);
}
py_code = __pyx_find_code_object(c_line ? -c_line : py_line);
if (!py_code) {
py_code = __Pyx_CreateCodeObjectForTraceback(
funcname, c_line, py_line, filename);
if (!py_code) goto bad;
__pyx_insert_code_object(c_line ? -c_line : py_line, py_code);
}
py_frame = PyFrame_New(
tstate, /*PyThreadState *tstate,*/
py_code, /*PyCodeObject *code,*/
__pyx_d, /*PyObject *globals,*/
0 /*PyObject *locals*/
);
if (!py_frame) goto bad;
__Pyx_PyFrame_SetLineNumber(py_frame, py_line);
PyTraceBack_Here(py_frame);
bad:
Py_XDECREF(py_code);
Py_XDECREF(py_frame);
}
#if PY_MAJOR_VERSION < 3
static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags) {
if (PyObject_CheckBuffer(obj)) return PyObject_GetBuffer(obj, view, flags);
if (__Pyx_TypeCheck(obj, __pyx_array_type)) return __pyx_array_getbuffer(obj, view, flags);
if (__Pyx_TypeCheck(obj, __pyx_memoryview_type)) return __pyx_memoryview_getbuffer(obj, view, flags);
PyErr_Format(PyExc_TypeError, "'%.200s' does not have the buffer interface", Py_TYPE(obj)->tp_name);
return -1;
}
static void __Pyx_ReleaseBuffer(Py_buffer *view) {
PyObject *obj = view->obj;
if (!obj) return;
if (PyObject_CheckBuffer(obj)) {
PyBuffer_Release(view);
return;
}
if ((0)) {}
view->obj = NULL;
Py_DECREF(obj);
}
#endif
/* MemviewSliceIsContig */
static int
__pyx_memviewslice_is_contig(const __Pyx_memviewslice mvs, char order, int ndim)
{
int i, index, step, start;
Py_ssize_t itemsize = mvs.memview->view.itemsize;
if (order == 'F') {
step = 1;
start = 0;
} else {
step = -1;
start = ndim - 1;
}
for (i = 0; i < ndim; i++) {
index = start + step * i;
if (mvs.suboffsets[index] >= 0 || mvs.strides[index] != itemsize)
return 0;
itemsize *= mvs.shape[index];
}
return 1;
}
/* OverlappingSlices */
static void
__pyx_get_array_memory_extents(__Pyx_memviewslice *slice,
void **out_start, void **out_end,
int ndim, size_t itemsize)
{
char *start, *end;
int i;
start = end = slice->data;
for (i = 0; i < ndim; i++) {
Py_ssize_t stride = slice->strides[i];
Py_ssize_t extent = slice->shape[i];
if (extent == 0) {
*out_start = *out_end = start;
return;
} else {
if (stride > 0)
end += stride * (extent - 1);
else
start += stride * (extent - 1);
}
}
*out_start = start;
*out_end = end + itemsize;
}
static int
__pyx_slices_overlap(__Pyx_memviewslice *slice1,
__Pyx_memviewslice *slice2,
int ndim, size_t itemsize)
{
void *start1, *end1, *start2, *end2;
__pyx_get_array_memory_extents(slice1, &start1, &end1, ndim, itemsize);
__pyx_get_array_memory_extents(slice2, &start2, &end2, ndim, itemsize);
return (start1 < end2) && (start2 < end1);
}
/* Capsule */
static CYTHON_INLINE PyObject *
__pyx_capsule_create(void *p, CYTHON_UNUSED const char *sig)
{
PyObject *cobj;
#if PY_VERSION_HEX >= 0x02070000
cobj = PyCapsule_New(p, sig, NULL);
#else
cobj = PyCObject_FromVoidPtr(p, NULL);
#endif
return cobj;
}
/* IsLittleEndian */
static CYTHON_INLINE int __Pyx_Is_Little_Endian(void)
{
union {
uint32_t u32;
uint8_t u8[4];
} S;
S.u32 = 0x01020304;
return S.u8[0] == 4;
}
/* BufferFormatCheck */
static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx,
__Pyx_BufFmt_StackElem* stack,
__Pyx_TypeInfo* type) {
stack[0].field = &ctx->root;
stack[0].parent_offset = 0;
ctx->root.type = type;
ctx->root.name = "buffer dtype";
ctx->root.offset = 0;
ctx->head = stack;
ctx->head->field = &ctx->root;
ctx->fmt_offset = 0;
ctx->head->parent_offset = 0;
ctx->new_packmode = '@';
ctx->enc_packmode = '@';
ctx->new_count = 1;
ctx->enc_count = 0;
ctx->enc_type = 0;
ctx->is_complex = 0;
ctx->is_valid_array = 0;
ctx->struct_alignment = 0;
while (type->typegroup == 'S') {
++ctx->head;
ctx->head->field = type->fields;
ctx->head->parent_offset = 0;
type = type->fields->type;
}
}
static int __Pyx_BufFmt_ParseNumber(const char** ts) {
int count;
const char* t = *ts;
if (*t < '0' || *t > '9') {
return -1;
} else {
count = *t++ - '0';
while (*t >= '0' && *t <= '9') {
count *= 10;
count += *t++ - '0';
}
}
*ts = t;
return count;
}
static int __Pyx_BufFmt_ExpectNumber(const char **ts) {
int number = __Pyx_BufFmt_ParseNumber(ts);
if (number == -1)
PyErr_Format(PyExc_ValueError,\
"Does not understand character buffer dtype format string ('%c')", **ts);
return number;
}
static void __Pyx_BufFmt_RaiseUnexpectedChar(char ch) {
PyErr_Format(PyExc_ValueError,
"Unexpected format string character: '%c'", ch);
}
static const char* __Pyx_BufFmt_DescribeTypeChar(char ch, int is_complex) {
switch (ch) {
case '?': return "'bool'";
case 'c': return "'char'";
case 'b': return "'signed char'";
case 'B': return "'unsigned char'";
case 'h': return "'short'";
case 'H': return "'unsigned short'";
case 'i': return "'int'";
case 'I': return "'unsigned int'";
case 'l': return "'long'";
case 'L': return "'unsigned long'";
case 'q': return "'long long'";
case 'Q': return "'unsigned long long'";
case 'f': return (is_complex ? "'complex float'" : "'float'");
case 'd': return (is_complex ? "'complex double'" : "'double'");
case 'g': return (is_complex ? "'complex long double'" : "'long double'");
case 'T': return "a struct";
case 'O': return "Python object";
case 'P': return "a pointer";
case 's': case 'p': return "a string";
case 0: return "end";
default: return "unparseable format string";
}
}
static size_t __Pyx_BufFmt_TypeCharToStandardSize(char ch, int is_complex) {
switch (ch) {
case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;
case 'h': case 'H': return 2;
case 'i': case 'I': case 'l': case 'L': return 4;
case 'q': case 'Q': return 8;
case 'f': return (is_complex ? 8 : 4);
case 'd': return (is_complex ? 16 : 8);
case 'g': {
PyErr_SetString(PyExc_ValueError, "Python does not define a standard format string size for long double ('g')..");
return 0;
}
case 'O': case 'P': return sizeof(void*);
default:
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
return 0;
}
}
static size_t __Pyx_BufFmt_TypeCharToNativeSize(char ch, int is_complex) {
switch (ch) {
case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;
case 'h': case 'H': return sizeof(short);
case 'i': case 'I': return sizeof(int);
case 'l': case 'L': return sizeof(long);
#ifdef HAVE_LONG_LONG
case 'q': case 'Q': return sizeof(PY_LONG_LONG);
#endif
case 'f': return sizeof(float) * (is_complex ? 2 : 1);
case 'd': return sizeof(double) * (is_complex ? 2 : 1);
case 'g': return sizeof(long double) * (is_complex ? 2 : 1);
case 'O': case 'P': return sizeof(void*);
default: {
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
return 0;
}
}
}
typedef struct { char c; short x; } __Pyx_st_short;
typedef struct { char c; int x; } __Pyx_st_int;
typedef struct { char c; long x; } __Pyx_st_long;
typedef struct { char c; float x; } __Pyx_st_float;
typedef struct { char c; double x; } __Pyx_st_double;
typedef struct { char c; long double x; } __Pyx_st_longdouble;
typedef struct { char c; void *x; } __Pyx_st_void_p;
#ifdef HAVE_LONG_LONG
typedef struct { char c; PY_LONG_LONG x; } __Pyx_st_longlong;
#endif
static size_t __Pyx_BufFmt_TypeCharToAlignment(char ch, CYTHON_UNUSED int is_complex) {
switch (ch) {
case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;
case 'h': case 'H': return sizeof(__Pyx_st_short) - sizeof(short);
case 'i': case 'I': return sizeof(__Pyx_st_int) - sizeof(int);
case 'l': case 'L': return sizeof(__Pyx_st_long) - sizeof(long);
#ifdef HAVE_LONG_LONG
case 'q': case 'Q': return sizeof(__Pyx_st_longlong) - sizeof(PY_LONG_LONG);
#endif
case 'f': return sizeof(__Pyx_st_float) - sizeof(float);
case 'd': return sizeof(__Pyx_st_double) - sizeof(double);
case 'g': return sizeof(__Pyx_st_longdouble) - sizeof(long double);
case 'P': case 'O': return sizeof(__Pyx_st_void_p) - sizeof(void*);
default:
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
return 0;
}
}
/* These are for computing the padding at the end of the struct to align
on the first member of the struct. This will probably the same as above,
but we don't have any guarantees.
*/
typedef struct { short x; char c; } __Pyx_pad_short;
typedef struct { int x; char c; } __Pyx_pad_int;
typedef struct { long x; char c; } __Pyx_pad_long;
typedef struct { float x; char c; } __Pyx_pad_float;
typedef struct { double x; char c; } __Pyx_pad_double;
typedef struct { long double x; char c; } __Pyx_pad_longdouble;
typedef struct { void *x; char c; } __Pyx_pad_void_p;
#ifdef HAVE_LONG_LONG
typedef struct { PY_LONG_LONG x; char c; } __Pyx_pad_longlong;
#endif
static size_t __Pyx_BufFmt_TypeCharToPadding(char ch, CYTHON_UNUSED int is_complex) {
switch (ch) {
case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;
case 'h': case 'H': return sizeof(__Pyx_pad_short) - sizeof(short);
case 'i': case 'I': return sizeof(__Pyx_pad_int) - sizeof(int);
case 'l': case 'L': return sizeof(__Pyx_pad_long) - sizeof(long);
#ifdef HAVE_LONG_LONG
case 'q': case 'Q': return sizeof(__Pyx_pad_longlong) - sizeof(PY_LONG_LONG);
#endif
case 'f': return sizeof(__Pyx_pad_float) - sizeof(float);
case 'd': return sizeof(__Pyx_pad_double) - sizeof(double);
case 'g': return sizeof(__Pyx_pad_longdouble) - sizeof(long double);
case 'P': case 'O': return sizeof(__Pyx_pad_void_p) - sizeof(void*);
default:
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
return 0;
}
}
static char __Pyx_BufFmt_TypeCharToGroup(char ch, int is_complex) {
switch (ch) {
case 'c':
return 'H';
case 'b': case 'h': case 'i':
case 'l': case 'q': case 's': case 'p':
return 'I';
case '?': case 'B': case 'H': case 'I': case 'L': case 'Q':
return 'U';
case 'f': case 'd': case 'g':
return (is_complex ? 'C' : 'R');
case 'O':
return 'O';
case 'P':
return 'P';
default: {
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
return 0;
}
}
}
static void __Pyx_BufFmt_RaiseExpected(__Pyx_BufFmt_Context* ctx) {
if (ctx->head == NULL || ctx->head->field == &ctx->root) {
const char* expected;
const char* quote;
if (ctx->head == NULL) {
expected = "end";
quote = "";
} else {
expected = ctx->head->field->type->name;
quote = "'";
}
PyErr_Format(PyExc_ValueError,
"Buffer dtype mismatch, expected %s%s%s but got %s",
quote, expected, quote,
__Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex));
} else {
__Pyx_StructField* field = ctx->head->field;
__Pyx_StructField* parent = (ctx->head - 1)->field;
PyErr_Format(PyExc_ValueError,
"Buffer dtype mismatch, expected '%s' but got %s in '%s.%s'",
field->type->name, __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex),
parent->type->name, field->name);
}
}
static int __Pyx_BufFmt_ProcessTypeChunk(__Pyx_BufFmt_Context* ctx) {
char group;
size_t size, offset, arraysize = 1;
if (ctx->enc_type == 0) return 0;
if (ctx->head->field->type->arraysize[0]) {
int i, ndim = 0;
if (ctx->enc_type == 's' || ctx->enc_type == 'p') {
ctx->is_valid_array = ctx->head->field->type->ndim == 1;
ndim = 1;
if (ctx->enc_count != ctx->head->field->type->arraysize[0]) {
PyErr_Format(PyExc_ValueError,
"Expected a dimension of size %zu, got %zu",
ctx->head->field->type->arraysize[0], ctx->enc_count);
return -1;
}
}
if (!ctx->is_valid_array) {
PyErr_Format(PyExc_ValueError, "Expected %d dimensions, got %d",
ctx->head->field->type->ndim, ndim);
return -1;
}
for (i = 0; i < ctx->head->field->type->ndim; i++) {
arraysize *= ctx->head->field->type->arraysize[i];
}
ctx->is_valid_array = 0;
ctx->enc_count = 1;
}
group = __Pyx_BufFmt_TypeCharToGroup(ctx->enc_type, ctx->is_complex);
do {
__Pyx_StructField* field = ctx->head->field;
__Pyx_TypeInfo* type = field->type;
if (ctx->enc_packmode == '@' || ctx->enc_packmode == '^') {
size = __Pyx_BufFmt_TypeCharToNativeSize(ctx->enc_type, ctx->is_complex);
} else {
size = __Pyx_BufFmt_TypeCharToStandardSize(ctx->enc_type, ctx->is_complex);
}
if (ctx->enc_packmode == '@') {
size_t align_at = __Pyx_BufFmt_TypeCharToAlignment(ctx->enc_type, ctx->is_complex);
size_t align_mod_offset;
if (align_at == 0) return -1;
align_mod_offset = ctx->fmt_offset % align_at;
if (align_mod_offset > 0) ctx->fmt_offset += align_at - align_mod_offset;
if (ctx->struct_alignment == 0)
ctx->struct_alignment = __Pyx_BufFmt_TypeCharToPadding(ctx->enc_type,
ctx->is_complex);
}
if (type->size != size || type->typegroup != group) {
if (type->typegroup == 'C' && type->fields != NULL) {
size_t parent_offset = ctx->head->parent_offset + field->offset;
++ctx->head;
ctx->head->field = type->fields;
ctx->head->parent_offset = parent_offset;
continue;
}
if ((type->typegroup == 'H' || group == 'H') && type->size == size) {
} else {
__Pyx_BufFmt_RaiseExpected(ctx);
return -1;
}
}
offset = ctx->head->parent_offset + field->offset;
if (ctx->fmt_offset != offset) {
PyErr_Format(PyExc_ValueError,
"Buffer dtype mismatch; next field is at offset %" CYTHON_FORMAT_SSIZE_T "d but %" CYTHON_FORMAT_SSIZE_T "d expected",
(Py_ssize_t)ctx->fmt_offset, (Py_ssize_t)offset);
return -1;
}
ctx->fmt_offset += size;
if (arraysize)
ctx->fmt_offset += (arraysize - 1) * size;
--ctx->enc_count;
while (1) {
if (field == &ctx->root) {
ctx->head = NULL;
if (ctx->enc_count != 0) {
__Pyx_BufFmt_RaiseExpected(ctx);
return -1;
}
break;
}
ctx->head->field = ++field;
if (field->type == NULL) {
--ctx->head;
field = ctx->head->field;
continue;
} else if (field->type->typegroup == 'S') {
size_t parent_offset = ctx->head->parent_offset + field->offset;
if (field->type->fields->type == NULL) continue;
field = field->type->fields;
++ctx->head;
ctx->head->field = field;
ctx->head->parent_offset = parent_offset;
break;
} else {
break;
}
}
} while (ctx->enc_count);
ctx->enc_type = 0;
ctx->is_complex = 0;
return 0;
}
static PyObject *
__pyx_buffmt_parse_array(__Pyx_BufFmt_Context* ctx, const char** tsp)
{
const char *ts = *tsp;
int i = 0, number, ndim;
++ts;
if (ctx->new_count != 1) {
PyErr_SetString(PyExc_ValueError,
"Cannot handle repeated arrays in format string");
return NULL;
}
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
ndim = ctx->head->field->type->ndim;
while (*ts && *ts != ')') {
switch (*ts) {
case ' ': case '\f': case '\r': case '\n': case '\t': case '\v': continue;
default: break;
}
number = __Pyx_BufFmt_ExpectNumber(&ts);
if (number == -1) return NULL;
if (i < ndim && (size_t) number != ctx->head->field->type->arraysize[i])
return PyErr_Format(PyExc_ValueError,
"Expected a dimension of size %zu, got %d",
ctx->head->field->type->arraysize[i], number);
if (*ts != ',' && *ts != ')')
return PyErr_Format(PyExc_ValueError,
"Expected a comma in format string, got '%c'", *ts);
if (*ts == ',') ts++;
i++;
}
if (i != ndim)
return PyErr_Format(PyExc_ValueError, "Expected %d dimension(s), got %d",
ctx->head->field->type->ndim, i);
if (!*ts) {
PyErr_SetString(PyExc_ValueError,
"Unexpected end of format string, expected ')'");
return NULL;
}
ctx->is_valid_array = 1;
ctx->new_count = 1;
*tsp = ++ts;
return Py_None;
}
static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts) {
int got_Z = 0;
while (1) {
switch(*ts) {
case 0:
if (ctx->enc_type != 0 && ctx->head == NULL) {
__Pyx_BufFmt_RaiseExpected(ctx);
return NULL;
}
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
if (ctx->head != NULL) {
__Pyx_BufFmt_RaiseExpected(ctx);
return NULL;
}
return ts;
case ' ':
case '\r':
case '\n':
++ts;
break;
case '<':
if (!__Pyx_Is_Little_Endian()) {
PyErr_SetString(PyExc_ValueError, "Little-endian buffer not supported on big-endian compiler");
return NULL;
}
ctx->new_packmode = '=';
++ts;
break;
case '>':
case '!':
if (__Pyx_Is_Little_Endian()) {
PyErr_SetString(PyExc_ValueError, "Big-endian buffer not supported on little-endian compiler");
return NULL;
}
ctx->new_packmode = '=';
++ts;
break;
case '=':
case '@':
case '^':
ctx->new_packmode = *ts++;
break;
case 'T':
{
const char* ts_after_sub;
size_t i, struct_count = ctx->new_count;
size_t struct_alignment = ctx->struct_alignment;
ctx->new_count = 1;
++ts;
if (*ts != '{') {
PyErr_SetString(PyExc_ValueError, "Buffer acquisition: Expected '{' after 'T'");
return NULL;
}
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
ctx->enc_type = 0;
ctx->enc_count = 0;
ctx->struct_alignment = 0;
++ts;
ts_after_sub = ts;
for (i = 0; i != struct_count; ++i) {
ts_after_sub = __Pyx_BufFmt_CheckString(ctx, ts);
if (!ts_after_sub) return NULL;
}
ts = ts_after_sub;
if (struct_alignment) ctx->struct_alignment = struct_alignment;
}
break;
case '}':
{
size_t alignment = ctx->struct_alignment;
++ts;
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
ctx->enc_type = 0;
if (alignment && ctx->fmt_offset % alignment) {
ctx->fmt_offset += alignment - (ctx->fmt_offset % alignment);
}
}
return ts;
case 'x':
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
ctx->fmt_offset += ctx->new_count;
ctx->new_count = 1;
ctx->enc_count = 0;
ctx->enc_type = 0;
ctx->enc_packmode = ctx->new_packmode;
++ts;
break;
case 'Z':
got_Z = 1;
++ts;
if (*ts != 'f' && *ts != 'd' && *ts != 'g') {
__Pyx_BufFmt_RaiseUnexpectedChar('Z');
return NULL;
}
CYTHON_FALLTHROUGH;
case '?': case 'c': case 'b': case 'B': case 'h': case 'H': case 'i': case 'I':
case 'l': case 'L': case 'q': case 'Q':
case 'f': case 'd': case 'g':
case 'O': case 'p':
if ((ctx->enc_type == *ts) && (got_Z == ctx->is_complex) &&
(ctx->enc_packmode == ctx->new_packmode) && (!ctx->is_valid_array)) {
ctx->enc_count += ctx->new_count;
ctx->new_count = 1;
got_Z = 0;
++ts;
break;
}
CYTHON_FALLTHROUGH;
case 's':
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
ctx->enc_count = ctx->new_count;
ctx->enc_packmode = ctx->new_packmode;
ctx->enc_type = *ts;
ctx->is_complex = got_Z;
++ts;
ctx->new_count = 1;
got_Z = 0;
break;
case ':':
++ts;
while(*ts != ':') ++ts;
++ts;
break;
case '(':
if (!__pyx_buffmt_parse_array(ctx, &ts)) return NULL;
break;
default:
{
int number = __Pyx_BufFmt_ExpectNumber(&ts);
if (number == -1) return NULL;
ctx->new_count = (size_t)number;
}
}
}
}
/* TypeInfoCompare */
static int
__pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b)
{
int i;
if (!a || !b)
return 0;
if (a == b)
return 1;
if (a->size != b->size || a->typegroup != b->typegroup ||
a->is_unsigned != b->is_unsigned || a->ndim != b->ndim) {
if (a->typegroup == 'H' || b->typegroup == 'H') {
return a->size == b->size;
} else {
return 0;
}
}
if (a->ndim) {
for (i = 0; i < a->ndim; i++)
if (a->arraysize[i] != b->arraysize[i])
return 0;
}
if (a->typegroup == 'S') {
if (a->flags != b->flags)
return 0;
if (a->fields || b->fields) {
if (!(a->fields && b->fields))
return 0;
for (i = 0; a->fields[i].type && b->fields[i].type; i++) {
__Pyx_StructField *field_a = a->fields + i;
__Pyx_StructField *field_b = b->fields + i;
if (field_a->offset != field_b->offset ||
!__pyx_typeinfo_cmp(field_a->type, field_b->type))
return 0;
}
return !a->fields[i].type && !b->fields[i].type;
}
}
return 1;
}
/* MemviewSliceValidateAndInit */
static int
__pyx_check_strides(Py_buffer *buf, int dim, int ndim, int spec)
{
if (buf->shape[dim] <= 1)
return 1;
if (buf->strides) {
if (spec & __Pyx_MEMVIEW_CONTIG) {
if (spec & (__Pyx_MEMVIEW_PTR|__Pyx_MEMVIEW_FULL)) {
if (unlikely(buf->strides[dim] != sizeof(void *))) {
PyErr_Format(PyExc_ValueError,
"Buffer is not indirectly contiguous "
"in dimension %d.", dim);
goto fail;
}
} else if (unlikely(buf->strides[dim] != buf->itemsize)) {
PyErr_SetString(PyExc_ValueError,
"Buffer and memoryview are not contiguous "
"in the same dimension.");
goto fail;
}
}
if (spec & __Pyx_MEMVIEW_FOLLOW) {
Py_ssize_t stride = buf->strides[dim];
if (stride < 0)
stride = -stride;
if (unlikely(stride < buf->itemsize)) {
PyErr_SetString(PyExc_ValueError,
"Buffer and memoryview are not contiguous "
"in the same dimension.");
goto fail;
}
}
} else {
if (unlikely(spec & __Pyx_MEMVIEW_CONTIG && dim != ndim - 1)) {
PyErr_Format(PyExc_ValueError,
"C-contiguous buffer is not contiguous in "
"dimension %d", dim);
goto fail;
} else if (unlikely(spec & (__Pyx_MEMVIEW_PTR))) {
PyErr_Format(PyExc_ValueError,
"C-contiguous buffer is not indirect in "
"dimension %d", dim);
goto fail;
} else if (unlikely(buf->suboffsets)) {
PyErr_SetString(PyExc_ValueError,
"Buffer exposes suboffsets but no strides");
goto fail;
}
}
return 1;
fail:
return 0;
}
static int
__pyx_check_suboffsets(Py_buffer *buf, int dim, CYTHON_UNUSED int ndim, int spec)
{
if (spec & __Pyx_MEMVIEW_DIRECT) {
if (unlikely(buf->suboffsets && buf->suboffsets[dim] >= 0)) {
PyErr_Format(PyExc_ValueError,
"Buffer not compatible with direct access "
"in dimension %d.", dim);
goto fail;
}
}
if (spec & __Pyx_MEMVIEW_PTR) {
if (unlikely(!buf->suboffsets || (buf->suboffsets[dim] < 0))) {
PyErr_Format(PyExc_ValueError,
"Buffer is not indirectly accessible "
"in dimension %d.", dim);
goto fail;
}
}
return 1;
fail:
return 0;
}
static int
__pyx_verify_contig(Py_buffer *buf, int ndim, int c_or_f_flag)
{
int i;
if (c_or_f_flag & __Pyx_IS_F_CONTIG) {
Py_ssize_t stride = 1;
for (i = 0; i < ndim; i++) {
if (unlikely(stride * buf->itemsize != buf->strides[i] && buf->shape[i] > 1)) {
PyErr_SetString(PyExc_ValueError,
"Buffer not fortran contiguous.");
goto fail;
}
stride = stride * buf->shape[i];
}
} else if (c_or_f_flag & __Pyx_IS_C_CONTIG) {
Py_ssize_t stride = 1;
for (i = ndim - 1; i >- 1; i--) {
if (unlikely(stride * buf->itemsize != buf->strides[i] && buf->shape[i] > 1)) {
PyErr_SetString(PyExc_ValueError,
"Buffer not C contiguous.");
goto fail;
}
stride = stride * buf->shape[i];
}
}
return 1;
fail:
return 0;
}
static int __Pyx_ValidateAndInit_memviewslice(
int *axes_specs,
int c_or_f_flag,
int buf_flags,
int ndim,
__Pyx_TypeInfo *dtype,
__Pyx_BufFmt_StackElem stack[],
__Pyx_memviewslice *memviewslice,
PyObject *original_obj)
{
struct __pyx_memoryview_obj *memview, *new_memview;
__Pyx_RefNannyDeclarations
Py_buffer *buf;
int i, spec = 0, retval = -1;
__Pyx_BufFmt_Context ctx;
int from_memoryview = __pyx_memoryview_check(original_obj);
__Pyx_RefNannySetupContext("ValidateAndInit_memviewslice", 0);
if (from_memoryview && __pyx_typeinfo_cmp(dtype, ((struct __pyx_memoryview_obj *)
original_obj)->typeinfo)) {
memview = (struct __pyx_memoryview_obj *) original_obj;
new_memview = NULL;
} else {
memview = (struct __pyx_memoryview_obj *) __pyx_memoryview_new(
original_obj, buf_flags, 0, dtype);
new_memview = memview;
if (unlikely(!memview))
goto fail;
}
buf = &memview->view;
if (unlikely(buf->ndim != ndim)) {
PyErr_Format(PyExc_ValueError,
"Buffer has wrong number of dimensions (expected %d, got %d)",
ndim, buf->ndim);
goto fail;
}
if (new_memview) {
__Pyx_BufFmt_Init(&ctx, stack, dtype);
if (unlikely(!__Pyx_BufFmt_CheckString(&ctx, buf->format))) goto fail;
}
if (unlikely((unsigned) buf->itemsize != dtype->size)) {
PyErr_Format(PyExc_ValueError,
"Item size of buffer (%" CYTHON_FORMAT_SSIZE_T "u byte%s) "
"does not match size of '%s' (%" CYTHON_FORMAT_SSIZE_T "u byte%s)",
buf->itemsize,
(buf->itemsize > 1) ? "s" : "",
dtype->name,
dtype->size,
(dtype->size > 1) ? "s" : "");
goto fail;
}
if (buf->len > 0) {
for (i = 0; i < ndim; i++) {
spec = axes_specs[i];
if (unlikely(!__pyx_check_strides(buf, i, ndim, spec)))
goto fail;
if (unlikely(!__pyx_check_suboffsets(buf, i, ndim, spec)))
goto fail;
}
if (unlikely(buf->strides && !__pyx_verify_contig(buf, ndim, c_or_f_flag)))
goto fail;
}
if (unlikely(__Pyx_init_memviewslice(memview, ndim, memviewslice,
new_memview != NULL) == -1)) {
goto fail;
}
retval = 0;
goto no_fail;
fail:
Py_XDECREF(new_memview);
retval = -1;
no_fail:
__Pyx_RefNannyFinishContext();
return retval;
}
/* ObjectToMemviewSlice */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_d_dc_double(PyObject *obj, int writable_flag) {
__Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } };
__Pyx_BufFmt_StackElem stack[1];
int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_FOLLOW), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) };
int retcode;
if (obj == Py_None) {
result.memview = (struct __pyx_memoryview_obj *) Py_None;
return result;
}
retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, __Pyx_IS_C_CONTIG,
(PyBUF_C_CONTIGUOUS | PyBUF_FORMAT) | writable_flag, 2,
&__Pyx_TypeInfo_double, stack,
&result, obj);
if (unlikely(retcode == -1))
goto __pyx_fail;
return result;
__pyx_fail:
result.memview = NULL;
result.data = NULL;
return result;
}
/* ObjectToMemviewSlice */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsds_double(PyObject *obj, int writable_flag) {
__Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } };
__Pyx_BufFmt_StackElem stack[1];
int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED) };
int retcode;
if (obj == Py_None) {
result.memview = (struct __pyx_memoryview_obj *) Py_None;
return result;
}
retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, 0,
PyBUF_RECORDS_RO | writable_flag, 2,
&__Pyx_TypeInfo_double, stack,
&result, obj);
if (unlikely(retcode == -1))
goto __pyx_fail;
return result;
__pyx_fail:
result.memview = NULL;
result.data = NULL;
return result;
}
/* ObjectToMemviewSlice */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_int(PyObject *obj, int writable_flag) {
__Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } };
__Pyx_BufFmt_StackElem stack[1];
int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) };
int retcode;
if (obj == Py_None) {
result.memview = (struct __pyx_memoryview_obj *) Py_None;
return result;
}
retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, __Pyx_IS_C_CONTIG,
(PyBUF_C_CONTIGUOUS | PyBUF_FORMAT) | writable_flag, 1,
&__Pyx_TypeInfo_int, stack,
&result, obj);
if (unlikely(retcode == -1))
goto __pyx_fail;
return result;
__pyx_fail:
result.memview = NULL;
result.data = NULL;
return result;
}
/* MemviewSliceCopyTemplate */
static __Pyx_memviewslice
__pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs,
const char *mode, int ndim,
size_t sizeof_dtype, int contig_flag,
int dtype_is_object)
{
__Pyx_RefNannyDeclarations
int i;
__Pyx_memviewslice new_mvs = { 0, 0, { 0 }, { 0 }, { 0 } };
struct __pyx_memoryview_obj *from_memview = from_mvs->memview;
Py_buffer *buf = &from_memview->view;
PyObject *shape_tuple = NULL;
PyObject *temp_int = NULL;
struct __pyx_array_obj *array_obj = NULL;
struct __pyx_memoryview_obj *memview_obj = NULL;
__Pyx_RefNannySetupContext("__pyx_memoryview_copy_new_contig", 0);
for (i = 0; i < ndim; i++) {
if (unlikely(from_mvs->suboffsets[i] >= 0)) {
PyErr_Format(PyExc_ValueError, "Cannot copy memoryview slice with "
"indirect dimensions (axis %d)", i);
goto fail;
}
}
shape_tuple = PyTuple_New(ndim);
if (unlikely(!shape_tuple)) {
goto fail;
}
__Pyx_GOTREF(shape_tuple);
for(i = 0; i < ndim; i++) {
temp_int = PyInt_FromSsize_t(from_mvs->shape[i]);
if(unlikely(!temp_int)) {
goto fail;
} else {
PyTuple_SET_ITEM(shape_tuple, i, temp_int);
temp_int = NULL;
}
}
array_obj = __pyx_array_new(shape_tuple, sizeof_dtype, buf->format, (char *) mode, NULL);
if (unlikely(!array_obj)) {
goto fail;
}
__Pyx_GOTREF(array_obj);
memview_obj = (struct __pyx_memoryview_obj *) __pyx_memoryview_new(
(PyObject *) array_obj, contig_flag,
dtype_is_object,
from_mvs->memview->typeinfo);
if (unlikely(!memview_obj))
goto fail;
if (unlikely(__Pyx_init_memviewslice(memview_obj, ndim, &new_mvs, 1) < 0))
goto fail;
if (unlikely(__pyx_memoryview_copy_contents(*from_mvs, new_mvs, ndim, ndim,
dtype_is_object) < 0))
goto fail;
goto no_fail;
fail:
__Pyx_XDECREF(new_mvs.memview);
new_mvs.memview = NULL;
new_mvs.data = NULL;
no_fail:
__Pyx_XDECREF(shape_tuple);
__Pyx_XDECREF(temp_int);
__Pyx_XDECREF(array_obj);
__Pyx_RefNannyFinishContext();
return new_mvs;
}
/* CIntFromPyVerify */
#define __PYX_VERIFY_RETURN_INT(target_type, func_type, func_value)\
__PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 0)
#define __PYX_VERIFY_RETURN_INT_EXC(target_type, func_type, func_value)\
__PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 1)
#define __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, exc)\
{\
func_type value = func_value;\
if (sizeof(target_type) < sizeof(func_type)) {\
if (unlikely(value != (func_type) (target_type) value)) {\
func_type zero = 0;\
if (exc && unlikely(value == (func_type)-1 && PyErr_Occurred()))\
return (target_type) -1;\
if (is_unsigned && unlikely(value < zero))\
goto raise_neg_overflow;\
else\
goto raise_overflow;\
}\
}\
return (target_type) value;\
}
/* CIntFromPy */
static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *x) {
#ifdef __Pyx_HAS_GCC_DIAGNOSTIC
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wconversion"
#endif
const int neg_one = (int) -1, const_zero = (int) 0;
#ifdef __Pyx_HAS_GCC_DIAGNOSTIC
#pragma GCC diagnostic pop
#endif
const int is_unsigned = neg_one > const_zero;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_Check(x))) {
if (sizeof(int) < sizeof(long)) {
__PYX_VERIFY_RETURN_INT(int, long, PyInt_AS_LONG(x))
} else {
long val = PyInt_AS_LONG(x);
if (is_unsigned && unlikely(val < 0)) {
goto raise_neg_overflow;
}
return (int) val;
}
} else
#endif
if (likely(PyLong_Check(x))) {
if (is_unsigned) {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (int) 0;
case 1: __PYX_VERIFY_RETURN_INT(int, digit, digits[0])
case 2:
if (8 * sizeof(int) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) >= 2 * PyLong_SHIFT) {
return (int) (((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));
}
}
break;
case 3:
if (8 * sizeof(int) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) >= 3 * PyLong_SHIFT) {
return (int) (((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));
}
}
break;
case 4:
if (8 * sizeof(int) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) >= 4 * PyLong_SHIFT) {
return (int) (((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));
}
}
break;
}
#endif
#if CYTHON_COMPILING_IN_CPYTHON
if (unlikely(Py_SIZE(x) < 0)) {
goto raise_neg_overflow;
}
#else
{
int result = PyObject_RichCompareBool(x, Py_False, Py_LT);
if (unlikely(result < 0))
return (int) -1;
if (unlikely(result == 1))
goto raise_neg_overflow;
}
#endif
if (sizeof(int) <= sizeof(unsigned long)) {
__PYX_VERIFY_RETURN_INT_EXC(int, unsigned long, PyLong_AsUnsignedLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(int, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
#endif
}
} else {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (int) 0;
case -1: __PYX_VERIFY_RETURN_INT(int, sdigit, (sdigit) (-(sdigit)digits[0]))
case 1: __PYX_VERIFY_RETURN_INT(int, digit, +digits[0])
case -2:
if (8 * sizeof(int) - 1 > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {
return (int) (((int)-1)*(((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case 2:
if (8 * sizeof(int) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {
return (int) ((((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case -3:
if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {
return (int) (((int)-1)*(((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case 3:
if (8 * sizeof(int) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {
return (int) ((((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case -4:
if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) {
return (int) (((int)-1)*(((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case 4:
if (8 * sizeof(int) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) {
return (int) ((((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
}
#endif
if (sizeof(int) <= sizeof(long)) {
__PYX_VERIFY_RETURN_INT_EXC(int, long, PyLong_AsLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(int) <= sizeof(PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(int, PY_LONG_LONG, PyLong_AsLongLong(x))
#endif
}
}
{
#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)
PyErr_SetString(PyExc_RuntimeError,
"_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers");
#else
int val;
PyObject *v = __Pyx_PyNumber_IntOrLong(x);
#if PY_MAJOR_VERSION < 3
if (likely(v) && !PyLong_Check(v)) {
PyObject *tmp = v;
v = PyNumber_Long(tmp);
Py_DECREF(tmp);
}
#endif
if (likely(v)) {
int one = 1; int is_little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&val;
int ret = _PyLong_AsByteArray((PyLongObject *)v,
bytes, sizeof(val),
is_little, !is_unsigned);
Py_DECREF(v);
if (likely(!ret))
return val;
}
#endif
return (int) -1;
}
} else {
int val;
PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);
if (!tmp) return (int) -1;
val = __Pyx_PyInt_As_int(tmp);
Py_DECREF(tmp);
return val;
}
raise_overflow:
PyErr_SetString(PyExc_OverflowError,
"value too large to convert to int");
return (int) -1;
raise_neg_overflow:
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to int");
return (int) -1;
}
/* CIntFromPy */
static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *x) {
#ifdef __Pyx_HAS_GCC_DIAGNOSTIC
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wconversion"
#endif
const long neg_one = (long) -1, const_zero = (long) 0;
#ifdef __Pyx_HAS_GCC_DIAGNOSTIC
#pragma GCC diagnostic pop
#endif
const int is_unsigned = neg_one > const_zero;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_Check(x))) {
if (sizeof(long) < sizeof(long)) {
__PYX_VERIFY_RETURN_INT(long, long, PyInt_AS_LONG(x))
} else {
long val = PyInt_AS_LONG(x);
if (is_unsigned && unlikely(val < 0)) {
goto raise_neg_overflow;
}
return (long) val;
}
} else
#endif
if (likely(PyLong_Check(x))) {
if (is_unsigned) {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (long) 0;
case 1: __PYX_VERIFY_RETURN_INT(long, digit, digits[0])
case 2:
if (8 * sizeof(long) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) >= 2 * PyLong_SHIFT) {
return (long) (((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));
}
}
break;
case 3:
if (8 * sizeof(long) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) >= 3 * PyLong_SHIFT) {
return (long) (((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));
}
}
break;
case 4:
if (8 * sizeof(long) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) >= 4 * PyLong_SHIFT) {
return (long) (((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));
}
}
break;
}
#endif
#if CYTHON_COMPILING_IN_CPYTHON
if (unlikely(Py_SIZE(x) < 0)) {
goto raise_neg_overflow;
}
#else
{
int result = PyObject_RichCompareBool(x, Py_False, Py_LT);
if (unlikely(result < 0))
return (long) -1;
if (unlikely(result == 1))
goto raise_neg_overflow;
}
#endif
if (sizeof(long) <= sizeof(unsigned long)) {
__PYX_VERIFY_RETURN_INT_EXC(long, unsigned long, PyLong_AsUnsignedLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(long, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
#endif
}
} else {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (long) 0;
case -1: __PYX_VERIFY_RETURN_INT(long, sdigit, (sdigit) (-(sdigit)digits[0]))
case 1: __PYX_VERIFY_RETURN_INT(long, digit, +digits[0])
case -2:
if (8 * sizeof(long) - 1 > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
return (long) (((long)-1)*(((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case 2:
if (8 * sizeof(long) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
return (long) ((((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case -3:
if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
return (long) (((long)-1)*(((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case 3:
if (8 * sizeof(long) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
return (long) ((((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case -4:
if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
return (long) (((long)-1)*(((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case 4:
if (8 * sizeof(long) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
return (long) ((((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
}
#endif
if (sizeof(long) <= sizeof(long)) {
__PYX_VERIFY_RETURN_INT_EXC(long, long, PyLong_AsLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(long) <= sizeof(PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(long, PY_LONG_LONG, PyLong_AsLongLong(x))
#endif
}
}
{
#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)
PyErr_SetString(PyExc_RuntimeError,
"_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers");
#else
long val;
PyObject *v = __Pyx_PyNumber_IntOrLong(x);
#if PY_MAJOR_VERSION < 3
if (likely(v) && !PyLong_Check(v)) {
PyObject *tmp = v;
v = PyNumber_Long(tmp);
Py_DECREF(tmp);
}
#endif
if (likely(v)) {
int one = 1; int is_little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&val;
int ret = _PyLong_AsByteArray((PyLongObject *)v,
bytes, sizeof(val),
is_little, !is_unsigned);
Py_DECREF(v);
if (likely(!ret))
return val;
}
#endif
return (long) -1;
}
} else {
long val;
PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);
if (!tmp) return (long) -1;
val = __Pyx_PyInt_As_long(tmp);
Py_DECREF(tmp);
return val;
}
raise_overflow:
PyErr_SetString(PyExc_OverflowError,
"value too large to convert to long");
return (long) -1;
raise_neg_overflow:
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to long");
return (long) -1;
}
/* CIntToPy */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value) {
#ifdef __Pyx_HAS_GCC_DIAGNOSTIC
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wconversion"
#endif
const int neg_one = (int) -1, const_zero = (int) 0;
#ifdef __Pyx_HAS_GCC_DIAGNOSTIC
#pragma GCC diagnostic pop
#endif
const int is_unsigned = neg_one > const_zero;
if (is_unsigned) {
if (sizeof(int) < sizeof(long)) {
return PyInt_FromLong((long) value);
} else if (sizeof(int) <= sizeof(unsigned long)) {
return PyLong_FromUnsignedLong((unsigned long) value);
#ifdef HAVE_LONG_LONG
} else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) {
return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);
#endif
}
} else {
if (sizeof(int) <= sizeof(long)) {
return PyInt_FromLong((long) value);
#ifdef HAVE_LONG_LONG
} else if (sizeof(int) <= sizeof(PY_LONG_LONG)) {
return PyLong_FromLongLong((PY_LONG_LONG) value);
#endif
}
}
{
int one = 1; int little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&value;
return _PyLong_FromByteArray(bytes, sizeof(int),
little, !is_unsigned);
}
}
/* CIntToPy */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value) {
#ifdef __Pyx_HAS_GCC_DIAGNOSTIC
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wconversion"
#endif
const long neg_one = (long) -1, const_zero = (long) 0;
#ifdef __Pyx_HAS_GCC_DIAGNOSTIC
#pragma GCC diagnostic pop
#endif
const int is_unsigned = neg_one > const_zero;
if (is_unsigned) {
if (sizeof(long) < sizeof(long)) {
return PyInt_FromLong((long) value);
} else if (sizeof(long) <= sizeof(unsigned long)) {
return PyLong_FromUnsignedLong((unsigned long) value);
#ifdef HAVE_LONG_LONG
} else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) {
return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);
#endif
}
} else {
if (sizeof(long) <= sizeof(long)) {
return PyInt_FromLong((long) value);
#ifdef HAVE_LONG_LONG
} else if (sizeof(long) <= sizeof(PY_LONG_LONG)) {
return PyLong_FromLongLong((PY_LONG_LONG) value);
#endif
}
}
{
int one = 1; int little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&value;
return _PyLong_FromByteArray(bytes, sizeof(long),
little, !is_unsigned);
}
}
/* CIntFromPy */
static CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *x) {
#ifdef __Pyx_HAS_GCC_DIAGNOSTIC
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wconversion"
#endif
const char neg_one = (char) -1, const_zero = (char) 0;
#ifdef __Pyx_HAS_GCC_DIAGNOSTIC
#pragma GCC diagnostic pop
#endif
const int is_unsigned = neg_one > const_zero;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_Check(x))) {
if (sizeof(char) < sizeof(long)) {
__PYX_VERIFY_RETURN_INT(char, long, PyInt_AS_LONG(x))
} else {
long val = PyInt_AS_LONG(x);
if (is_unsigned && unlikely(val < 0)) {
goto raise_neg_overflow;
}
return (char) val;
}
} else
#endif
if (likely(PyLong_Check(x))) {
if (is_unsigned) {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (char) 0;
case 1: __PYX_VERIFY_RETURN_INT(char, digit, digits[0])
case 2:
if (8 * sizeof(char) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) >= 2 * PyLong_SHIFT) {
return (char) (((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0]));
}
}
break;
case 3:
if (8 * sizeof(char) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) >= 3 * PyLong_SHIFT) {
return (char) (((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]));
}
}
break;
case 4:
if (8 * sizeof(char) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) >= 4 * PyLong_SHIFT) {
return (char) (((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]));
}
}
break;
}
#endif
#if CYTHON_COMPILING_IN_CPYTHON
if (unlikely(Py_SIZE(x) < 0)) {
goto raise_neg_overflow;
}
#else
{
int result = PyObject_RichCompareBool(x, Py_False, Py_LT);
if (unlikely(result < 0))
return (char) -1;
if (unlikely(result == 1))
goto raise_neg_overflow;
}
#endif
if (sizeof(char) <= sizeof(unsigned long)) {
__PYX_VERIFY_RETURN_INT_EXC(char, unsigned long, PyLong_AsUnsignedLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(char) <= sizeof(unsigned PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(char, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
#endif
}
} else {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (char) 0;
case -1: __PYX_VERIFY_RETURN_INT(char, sdigit, (sdigit) (-(sdigit)digits[0]))
case 1: __PYX_VERIFY_RETURN_INT(char, digit, +digits[0])
case -2:
if (8 * sizeof(char) - 1 > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) {
return (char) (((char)-1)*(((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
case 2:
if (8 * sizeof(char) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) {
return (char) ((((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
case -3:
if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) {
return (char) (((char)-1)*(((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
case 3:
if (8 * sizeof(char) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) {
return (char) ((((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
case -4:
if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 4 * PyLong_SHIFT) {
return (char) (((char)-1)*(((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
case 4:
if (8 * sizeof(char) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 4 * PyLong_SHIFT) {
return (char) ((((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
}
#endif
if (sizeof(char) <= sizeof(long)) {
__PYX_VERIFY_RETURN_INT_EXC(char, long, PyLong_AsLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(char) <= sizeof(PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(char, PY_LONG_LONG, PyLong_AsLongLong(x))
#endif
}
}
{
#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)
PyErr_SetString(PyExc_RuntimeError,
"_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers");
#else
char val;
PyObject *v = __Pyx_PyNumber_IntOrLong(x);
#if PY_MAJOR_VERSION < 3
if (likely(v) && !PyLong_Check(v)) {
PyObject *tmp = v;
v = PyNumber_Long(tmp);
Py_DECREF(tmp);
}
#endif
if (likely(v)) {
int one = 1; int is_little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&val;
int ret = _PyLong_AsByteArray((PyLongObject *)v,
bytes, sizeof(val),
is_little, !is_unsigned);
Py_DECREF(v);
if (likely(!ret))
return val;
}
#endif
return (char) -1;
}
} else {
char val;
PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);
if (!tmp) return (char) -1;
val = __Pyx_PyInt_As_char(tmp);
Py_DECREF(tmp);
return val;
}
raise_overflow:
PyErr_SetString(PyExc_OverflowError,
"value too large to convert to char");
return (char) -1;
raise_neg_overflow:
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to char");
return (char) -1;
}
/* CheckBinaryVersion */
static int __Pyx_check_binary_version(void) {
char ctversion[4], rtversion[4];
PyOS_snprintf(ctversion, 4, "%d.%d", PY_MAJOR_VERSION, PY_MINOR_VERSION);
PyOS_snprintf(rtversion, 4, "%s", Py_GetVersion());
if (ctversion[0] != rtversion[0] || ctversion[2] != rtversion[2]) {
char message[200];
PyOS_snprintf(message, sizeof(message),
"compiletime version %s of module '%.100s' "
"does not match runtime version %s",
ctversion, __Pyx_MODULE_NAME, rtversion);
return PyErr_WarnEx(NULL, message, 1);
}
return 0;
}
/* InitStrings */
static int __Pyx_InitStrings(__Pyx_StringTabEntry *t) {
while (t->p) {
#if PY_MAJOR_VERSION < 3
if (t->is_unicode) {
*t->p = PyUnicode_DecodeUTF8(t->s, t->n - 1, NULL);
} else if (t->intern) {
*t->p = PyString_InternFromString(t->s);
} else {
*t->p = PyString_FromStringAndSize(t->s, t->n - 1);
}
#else
if (t->is_unicode | t->is_str) {
if (t->intern) {
*t->p = PyUnicode_InternFromString(t->s);
} else if (t->encoding) {
*t->p = PyUnicode_Decode(t->s, t->n - 1, t->encoding, NULL);
} else {
*t->p = PyUnicode_FromStringAndSize(t->s, t->n - 1);
}
} else {
*t->p = PyBytes_FromStringAndSize(t->s, t->n - 1);
}
#endif
if (!*t->p)
return -1;
if (PyObject_Hash(*t->p) == -1)
return -1;
++t;
}
return 0;
}
static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char* c_str) {
return __Pyx_PyUnicode_FromStringAndSize(c_str, (Py_ssize_t)strlen(c_str));
}
static CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject* o) {
Py_ssize_t ignore;
return __Pyx_PyObject_AsStringAndSize(o, &ignore);
}
#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT
#if !CYTHON_PEP393_ENABLED
static const char* __Pyx_PyUnicode_AsStringAndSize(PyObject* o, Py_ssize_t *length) {
char* defenc_c;
PyObject* defenc = _PyUnicode_AsDefaultEncodedString(o, NULL);
if (!defenc) return NULL;
defenc_c = PyBytes_AS_STRING(defenc);
#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
{
char* end = defenc_c + PyBytes_GET_SIZE(defenc);
char* c;
for (c = defenc_c; c < end; c++) {
if ((unsigned char) (*c) >= 128) {
PyUnicode_AsASCIIString(o);
return NULL;
}
}
}
#endif
*length = PyBytes_GET_SIZE(defenc);
return defenc_c;
}
#else
static CYTHON_INLINE const char* __Pyx_PyUnicode_AsStringAndSize(PyObject* o, Py_ssize_t *length) {
if (unlikely(__Pyx_PyUnicode_READY(o) == -1)) return NULL;
#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
if (likely(PyUnicode_IS_ASCII(o))) {
*length = PyUnicode_GET_LENGTH(o);
return PyUnicode_AsUTF8(o);
} else {
PyUnicode_AsASCIIString(o);
return NULL;
}
#else
return PyUnicode_AsUTF8AndSize(o, length);
#endif
}
#endif
#endif
static CYTHON_INLINE const char* __Pyx_PyObject_AsStringAndSize(PyObject* o, Py_ssize_t *length) {
#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT
if (
#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
__Pyx_sys_getdefaultencoding_not_ascii &&
#endif
PyUnicode_Check(o)) {
return __Pyx_PyUnicode_AsStringAndSize(o, length);
} else
#endif
#if (!CYTHON_COMPILING_IN_PYPY) || (defined(PyByteArray_AS_STRING) && defined(PyByteArray_GET_SIZE))
if (PyByteArray_Check(o)) {
*length = PyByteArray_GET_SIZE(o);
return PyByteArray_AS_STRING(o);
} else
#endif
{
char* result;
int r = PyBytes_AsStringAndSize(o, &result, length);
if (unlikely(r < 0)) {
return NULL;
} else {
return result;
}
}
}
static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject* x) {
int is_true = x == Py_True;
if (is_true | (x == Py_False) | (x == Py_None)) return is_true;
else return PyObject_IsTrue(x);
}
static CYTHON_INLINE int __Pyx_PyObject_IsTrueAndDecref(PyObject* x) {
int retval;
if (unlikely(!x)) return -1;
retval = __Pyx_PyObject_IsTrue(x);
Py_DECREF(x);
return retval;
}
static PyObject* __Pyx_PyNumber_IntOrLongWrongResultType(PyObject* result, const char* type_name) {
#if PY_MAJOR_VERSION >= 3
if (PyLong_Check(result)) {
if (PyErr_WarnFormat(PyExc_DeprecationWarning, 1,
"__int__ returned non-int (type %.200s). "
"The ability to return an instance of a strict subclass of int "
"is deprecated, and may be removed in a future version of Python.",
Py_TYPE(result)->tp_name)) {
Py_DECREF(result);
return NULL;
}
return result;
}
#endif
PyErr_Format(PyExc_TypeError,
"__%.4s__ returned non-%.4s (type %.200s)",
type_name, type_name, Py_TYPE(result)->tp_name);
Py_DECREF(result);
return NULL;
}
static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x) {
#if CYTHON_USE_TYPE_SLOTS
PyNumberMethods *m;
#endif
const char *name = NULL;
PyObject *res = NULL;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_Check(x) || PyLong_Check(x)))
#else
if (likely(PyLong_Check(x)))
#endif
return __Pyx_NewRef(x);
#if CYTHON_USE_TYPE_SLOTS
m = Py_TYPE(x)->tp_as_number;
#if PY_MAJOR_VERSION < 3
if (m && m->nb_int) {
name = "int";
res = m->nb_int(x);
}
else if (m && m->nb_long) {
name = "long";
res = m->nb_long(x);
}
#else
if (likely(m && m->nb_int)) {
name = "int";
res = m->nb_int(x);
}
#endif
#else
if (!PyBytes_CheckExact(x) && !PyUnicode_CheckExact(x)) {
res = PyNumber_Int(x);
}
#endif
if (likely(res)) {
#if PY_MAJOR_VERSION < 3
if (unlikely(!PyInt_Check(res) && !PyLong_Check(res))) {
#else
if (unlikely(!PyLong_CheckExact(res))) {
#endif
return __Pyx_PyNumber_IntOrLongWrongResultType(res, name);
}
}
else if (!PyErr_Occurred()) {
PyErr_SetString(PyExc_TypeError,
"an integer is required");
}
return res;
}
static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject* b) {
Py_ssize_t ival;
PyObject *x;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_CheckExact(b))) {
if (sizeof(Py_ssize_t) >= sizeof(long))
return PyInt_AS_LONG(b);
else
return PyInt_AsSsize_t(b);
}
#endif
if (likely(PyLong_CheckExact(b))) {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)b)->ob_digit;
const Py_ssize_t size = Py_SIZE(b);
if (likely(__Pyx_sst_abs(size) <= 1)) {
ival = likely(size) ? digits[0] : 0;
if (size == -1) ival = -ival;
return ival;
} else {
switch (size) {
case 2:
if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) {
return (Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
}
break;
case -2:
if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) {
return -(Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
}
break;
case 3:
if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) {
return (Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
}
break;
case -3:
if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) {
return -(Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
}
break;
case 4:
if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) {
return (Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
}
break;
case -4:
if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) {
return -(Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
}
break;
}
}
#endif
return PyLong_AsSsize_t(b);
}
x = PyNumber_Index(b);
if (!x) return -1;
ival = PyInt_AsSsize_t(x);
Py_DECREF(x);
return ival;
}
static CYTHON_INLINE PyObject * __Pyx_PyBool_FromLong(long b) {
return b ? __Pyx_NewRef(Py_True) : __Pyx_NewRef(Py_False);
}
static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t ival) {
return PyInt_FromSize_t(ival);
}
#endif /* Py_PYTHON_H */
|
task_codegen.c | // RUN: %clang_cc1 -verify -triple x86_64-apple-darwin10 -fopenmp -fopenmp-version=50 -x c -emit-llvm %s -o - | FileCheck %s
// RUN: %clang_cc1 -fopenmp -fopenmp-version=50 -x c -triple x86_64-apple-darwin10 -emit-pch -o %t %s
// RUN: %clang_cc1 -fopenmp -fopenmp-version=50 -x c -triple x86_64-apple-darwin10 -include-pch %t -verify %s -emit-llvm -o - | FileCheck %s
// RUN: %clang_cc1 -verify -triple x86_64-apple-darwin10 -fopenmp-simd -fopenmp-version=50 -x c -emit-llvm %s -o - | FileCheck --check-prefix SIMD-ONLY0 %s
// RUN: %clang_cc1 -fopenmp-simd -fopenmp-version=50 -x c -triple x86_64-apple-darwin10 -emit-pch -o %t %s
// RUN: %clang_cc1 -fopenmp-simd -fopenmp-version=50 -x c -triple x86_64-apple-darwin10 -include-pch %t -verify %s -emit-llvm -o - | FileCheck --check-prefix SIMD-ONLY0 %s
// SIMD-ONLY0-NOT: {{__kmpc|__tgt}}
// expected-no-diagnostics
#ifndef HEADER
#define HEADER
typedef void *omp_depend_t;
typedef __UINTPTR_TYPE__ omp_event_handle_t;
void foo(void);
// CHECK-LABEL: @main
int main(void) {
omp_depend_t d, x;
omp_event_handle_t evt;
int a, *b;
// CHECK: [[D_ADDR:%.+]] = alloca i8*,
// CHECK: [[X_ADDR:%.+]] = alloca i8*,
// CHECK: [[EVT_ADDR:%.+]] = alloca i64,
// CHECK: [[A_ADDR:%.+]] = alloca i32,
// CHECK: [[DEPOBJ_SIZE_ADDR:%.+]] = alloca i64,
// CHECK: [[DEPOBJ_SIZE_ADDR1:%.+]] = alloca i64,
// CHECK: = alloca i64,
// CHECK: [[DEP_COUNTER_ADDR:%.+]] = alloca i64,
// CHECK: [[GTID:%.+]] = call i32 @__kmpc_global_thread_num(
// CHECK: [[ALLOC:%.+]] = call i8* @__kmpc_omp_task_alloc(%struct.ident_t* @{{.+}}, i32 [[GTID]], i32 65, i64 48, i64 0, i32 (i32, i8*)* bitcast (i32 (i32, [[PRIVATES_TY:%.+]]*)* [[TASK_ENTRY:@.+]] to i32 (i32, i8*)*))
// CHECK: [[EVT_VAL:%.+]] = call i8* @__kmpc_task_allow_completion_event(%struct.ident_t* @{{.+}}, i32 [[GTID]], i8* [[ALLOC]])
// CHECK: [[CAST_EVT_VAL:%.+]] = ptrtoint i8* [[EVT_VAL]] to i64
// CHECK: store i64 [[CAST_EVT_VAL]], i64* [[EVT_ADDR]],
// CHECK: [[DATA:%.+]] = bitcast i8* [[ALLOC]] to [[PRIVATES_TY]]*
// CHECK: [[D:%.+]] = load i8*, i8** [[D_ADDR]],
// CHECK: [[D_DEP:%.+]] = bitcast i8* [[D]] to %struct.kmp_depend_info*
// CHECK: [[D_DEP_BASE:%.+]] = getelementptr %struct.kmp_depend_info, %struct.kmp_depend_info* [[D_DEP]], i{{.+}} -1
// CHECK: [[D_DEP_BASE_SIZE:%.+]] = getelementptr inbounds %struct.kmp_depend_info, %struct.kmp_depend_info* [[D_DEP_BASE]], i{{.+}} 0, i{{.+}} 0
// CHECK: [[SIZE1:%.+]] = load i64, i64* [[D_DEP_BASE_SIZE]],
// CHECK-DAG: store i64 0, i64* [[DEPOBJ_SIZE_ADDR]],
// CHECK: [[SZ:%.+]] = load i64, i64* [[DEPOBJ_SIZE_ADDR]],
// CHECK: [[SIZE:%.+]] = add nuw i64 [[SZ]], [[SIZE1]]
// CHECK: store i64 [[SIZE]], i64* [[DEPOBJ_SIZE_ADDR]],
// CHECK: [[X:%.+]] = load i8*, i8** [[X_ADDR]],
// CHECK: [[X_DEP:%.+]] = bitcast i8* [[X]] to %struct.kmp_depend_info*
// CHECK: [[X_DEP_BASE:%.+]] = getelementptr %struct.kmp_depend_info, %struct.kmp_depend_info* [[X_DEP]], i{{.+}} -1
// CHECK: [[X_DEP_BASE_SIZE:%.+]] = getelementptr inbounds %struct.kmp_depend_info, %struct.kmp_depend_info* [[X_DEP_BASE]], i{{.+}} 0, i{{.+}} 0
// CHECK: [[SIZE2:%.+]] = load i64, i64* [[X_DEP_BASE_SIZE]],
// CHECK-DAG: store i64 0, i64* [[DEPOBJ_SIZE_ADDR1]],
// CHECK: [[SZ:%.+]] = load i64, i64* [[DEPOBJ_SIZE_ADDR1]],
// CHECK: [[SIZE3:%.+]] = add nuw i64 [[SZ]], [[SIZE2]]
// CHECK: store i64 [[SIZE3]], i64* [[DEPOBJ_SIZE_ADDR1]],
// CHECK: [[SZ:%.+]] = load i64, i64* [[DEPOBJ_SIZE_ADDR]],
// CHECK: [[SZ1:%.+]] = load i64, i64* [[DEPOBJ_SIZE_ADDR1]],
// CHECK: [[SIZE1:%.+]] = add nuw i64 0, [[SZ]]
// CHECK: [[SIZE2:%.+]] = add nuw i64 [[SIZE1]], [[SZ1]]
// CHECK: [[SIZE:%.+]] = add nuw i64 [[SIZE2]], 2
// CHECK: [[SV:%.+]] = call i8* @llvm.stacksave()
// CHECK: store i8* [[SV]], i8** [[SV_ADDR:%.+]],
// CHECK: [[VLA:%.+]] = alloca %struct.kmp_depend_info, i64 [[SIZE]],
// CHECK: [[SIZE32:%.+]] = trunc i64 [[SIZE]] to i32
// CHECK: [[VLA0:%.+]] = getelementptr %struct.kmp_depend_info, %struct.kmp_depend_info* [[VLA]], i64 0
// CHECK: [[BASE_ADDR:%.+]] = getelementptr inbounds %struct.kmp_depend_info, %struct.kmp_depend_info* [[VLA0]], i{{.+}} 0, i{{.+}} 0
// CHECK: [[A_ADDR_CAST:%.+]] = ptrtoint i32* [[A_ADDR]] to i64
// CHECK: store i64 [[A_ADDR_CAST]], i64* [[BASE_ADDR]],
// CHECK: [[SIZE_ADDR:%.+]] = getelementptr inbounds %struct.kmp_depend_info, %struct.kmp_depend_info* [[VLA0]], i{{.+}} 0, i{{.+}} 1
// CHECK: store i64 4, i64* [[SIZE_ADDR]],
// CHECK: [[FLAGS_ADDR:%.+]] = getelementptr inbounds %struct.kmp_depend_info, %struct.kmp_depend_info* [[VLA0]], i{{.+}} 0, i{{.+}} 2
// CHECK: store i8 1, i8* [[FLAGS_ADDR]],
// CHECK: [[A:%.+]] = load i32, i32* [[A_ADDR]],
// CHECK: [[A_CAST:%.+]] = sext i32 [[A]] to i64
// CHECK: [[SZ1:%.+]] = mul nuw i64 24, [[A_CAST]]
// CHECK: [[A:%.+]] = load i32, i32* [[A_ADDR]],
// CHECK: [[A_CAST:%.+]] = sext i32 [[A]] to i64
// CHECK: [[SZ:%.+]] = mul nuw i64 [[SZ1]], [[A_CAST]]
// CHECK: [[VLA1:%.+]] = getelementptr %struct.kmp_depend_info, %struct.kmp_depend_info* [[VLA]], i64 1
// CHECK: [[BASE_ADDR:%.+]] = getelementptr inbounds %struct.kmp_depend_info, %struct.kmp_depend_info* [[VLA1]], i{{.+}} 0, i{{.+}} 0
// CHECK: [[B_ADDR_CAST:%.+]] = ptrtoint i32** %{{.+}} to i64
// CHECK: store i64 [[B_ADDR_CAST]], i64* [[BASE_ADDR]],
// CHECK: [[SIZE_ADDR:%.+]] = getelementptr inbounds %struct.kmp_depend_info, %struct.kmp_depend_info* [[VLA1]], i{{.+}} 0, i{{.+}} 1
// CHECK: store i64 [[SZ]], i64* [[SIZE_ADDR]],
// CHECK: [[FLAGS_ADDR:%.+]] = getelementptr inbounds %struct.kmp_depend_info, %struct.kmp_depend_info* [[VLA1]], i{{.+}} 0, i{{.+}} 2
// CHECK: store i8 1, i8* [[FLAGS_ADDR]],
// CHECK: store i64 2, i64* [[DEP_COUNTER_ADDR]],
// CHECK: [[D:%.+]] = load i8*, i8** [[D_ADDR]],
// CHECK: [[BC:%.+]] = bitcast i8* [[D]] to %struct.kmp_depend_info*
// CHECK: [[PREV:%.+]] = getelementptr %struct.kmp_depend_info, %struct.kmp_depend_info* [[BC]], i64 -1
// CHECK: [[SIZE_ADDR:%.+]] = getelementptr inbounds %struct.kmp_depend_info, %struct.kmp_depend_info* [[PREV]], i{{.+}} 0, i{{.+}} 0
// CHECK: [[SIZE:%.+]] = load i64, i64* [[SIZE_ADDR]],
// CHECK: [[BYTES:%.+]] = mul nuw i64 24, [[SIZE]]
// CHECK: [[POS:%.+]] = load i64, i64* [[DEP_COUNTER_ADDR]],
// CHECK: [[VLA_D:%.+]] = getelementptr %struct.kmp_depend_info, %struct.kmp_depend_info* [[VLA]], i64 [[POS]]
// CHECK: [[DEST:%.+]] = bitcast %struct.kmp_depend_info* [[VLA_D]] to i8*
// CHECK: [[SRC:%.+]] = bitcast %struct.kmp_depend_info* [[BC]] to i8*
// CHECK: call void @llvm.memcpy.p0i8.p0i8.i64(i8* align {{.+}} [[DEST]], i8* align {{.+}} [[SRC]], i64 [[BYTES]], i1 false)
// CHECK: [[ADD:%.+]] = add nuw i64 [[POS]], [[SIZE]]
// CHECK: store i64 [[ADD]], i64* [[DEP_COUNTER_ADDR]],
// CHECK: [[X:%.+]] = load i8*, i8** [[X_ADDR]],
// CHECK: [[BC:%.+]] = bitcast i8* [[X]] to %struct.kmp_depend_info*
// CHECK: [[PREV:%.+]] = getelementptr %struct.kmp_depend_info, %struct.kmp_depend_info* [[BC]], i64 -1
// CHECK: [[SIZE_ADDR:%.+]] = getelementptr inbounds %struct.kmp_depend_info, %struct.kmp_depend_info* [[PREV]], i{{.+}} 0, i{{.+}} 0
// CHECK: [[SIZE:%.+]] = load i64, i64* [[SIZE_ADDR]],
// CHECK: [[BYTES:%.+]] = mul nuw i64 24, [[SIZE]]
// CHECK: [[POS:%.+]] = load i64, i64* [[DEP_COUNTER_ADDR]],
// CHECK: [[VLA_X:%.+]] = getelementptr %struct.kmp_depend_info, %struct.kmp_depend_info* [[VLA]], i64 [[POS]]
// CHECK: [[DEST:%.+]] = bitcast %struct.kmp_depend_info* [[VLA_X]] to i8*
// CHECK: [[SRC:%.+]] = bitcast %struct.kmp_depend_info* [[BC]] to i8*
// CHECK: call void @llvm.memcpy.p0i8.p0i8.i64(i8* align {{.+}} [[DEST]], i8* align {{.+}} [[SRC]], i64 [[BYTES]], i1 false)
// CHECK: [[ADD:%.+]] = add nuw i64 [[POS]], [[SIZE]]
// CHECK: store i64 [[ADD]], i64* [[DEP_COUNTER_ADDR]],
// CHECK: [[BC:%.+]] = bitcast %struct.kmp_depend_info* [[VLA]] to i8*
// CHECK: call i32 @__kmpc_omp_task_with_deps(%struct.ident_t* @{{.+}}, i32 [[GTID]], i8* [[ALLOC]], i32 [[SIZE32]], i8* [[BC]], i32 0, i8* null)
// CHECK: [[SV:%.+]] = load i8*, i8** [[SV_ADDR]],
// CHECK: call void @llvm.stackrestore(i8* [[SV]])
#pragma omp task depend(in: a, ([3][a][a])&b) depend(depobj: d, x) detach(evt)
{
#pragma omp taskgroup
{
#pragma omp task
foo();
}
}
// CHECK: ret i32 0
return 0;
}
// CHECK: call void @__kmpc_taskgroup(
// CHECK: call i8* @__kmpc_omp_task_alloc(
// CHECK: call i32 @__kmpc_omp_task(
// CHECK: call void @__kmpc_end_taskgroup(
// CHECK-LINE: @bar
void bar(void) {
int **a;
// CHECK: call void @__kmpc_for_static_init_4(
#pragma omp for
for (int i = 0; i < 10; ++i)
// CHECK: [[BUF:%.+]] = call i8* @__kmpc_omp_task_alloc(%struct.ident_t* @{{.+}}, i32 %{{.+}}, i32 1, i64 48,
// CHECK: [[BC_BUF:%.+]] = bitcast i8* [[BUF]] to [[TT_WITH_PRIVS:%.+]]*
// CHECK: [[PRIVS:%.+]] = getelementptr inbounds [[TT_WITH_PRIVS]], [[TT_WITH_PRIVS]]* [[BC_BUF]], i32 0, i32 1
// CHECK: [[I_PRIV:%.+]] = getelementptr inbounds %{{.+}}, %{{.+}} [[PRIVS]], i32 0, i32 0
// CHECK: [[I:%.+]] = load i32, i32* [[I_ADDR:%.+]],
// CHECK: store i32 %{{.+}}, i32* [[I_PRIV]],
// NELEMS = 1 * ((i - 0 + 2 - 1) / 2);
// CHECK: [[END:%.+]] = load i32, i32* [[I_ADDR]],
// CHECK: [[EB_SUB:%.+]] = sub i32 [[END]], 0
// CHECK: [[EB_SUB_2_ADD:%.+]] = add i32 [[EB_SUB]], 2
// CHECK: [[EB_SUB_2_ADD_1_SUB:%.+]] = sub i32 [[EB_SUB_2_ADD]], 1
// CHECK: [[EB_SUB_2_ADD_1_SUB_2_DIV:%.+]] = udiv i32 [[EB_SUB_2_ADD_1_SUB]], 2
// CHECK: [[ELEMS:%.+]] = zext i32 [[EB_SUB_2_ADD_1_SUB_2_DIV]] to i64
// CHECK: [[NELEMS:%.+]] = mul nuw i64 [[ELEMS]], 1
// ITERATOR_TOTAL = NELEMS + 0;
// CHECK: [[ITERATOR_TOTAL:%.+]] = add nuw i64 0, [[NELEMS]]
// NELEMS = ITERATOR_TOTAL + non-iterator-deps (=0)
// CHECK: [[TOTAL:%.+]] = add nuw i64 [[ITERATOR_TOTAL]], 0
// %struct.kmp_depend_info DEPS[TOTAL];
// CHECK: [[DEPS:%.+]] = alloca %struct.kmp_depend_info, i64 [[TOTAL]],
// CHECK: [[NDEPS:%.+]] = trunc i64 [[TOTAL]] to i32
// i64 DEP_COUNTER = 0;
// CHECK: store i64 0, i64* [[DEP_COUNTER_ADDR:%.+]],
// NELEMS = ((i - 0 + 2 - 1) / 2);
// CHECK: [[END:%.+]] = load i32, i32* [[I_ADDR]],
// CHECK: [[EB_SUB:%.+]] = sub i32 [[END]], 0
// CHECK: [[EB_SUB_2_ADD:%.+]] = add i32 [[EB_SUB]], 2
// CHECK: [[EB_SUB_2_ADD_1_SUB:%.+]] = sub i32 [[EB_SUB_2_ADD]], 1
// CHECK: [[ELEMS:%.+]] = udiv i32 [[EB_SUB_2_ADD_1_SUB]], 2
// i32 COUNTER = 0;
// CHECK: store i32 0, i32* [[COUNTER_ADDR:%.+]],
// CHECK: br label %[[CONT:.+]]
// Loop.
// CHECK: [[CONT]]:
// CHECK: [[COUNTER:%.+]] = load i32, i32* [[COUNTER_ADDR]],
// CHECK: [[CMP:%.+]] = icmp ult i32 [[COUNTER]], [[ELEMS]]
// CHECK: br i1 [[CMP]], label %[[BODY:.+]], label %[[EXIT:.+]]
// CHECK: [[BODY]]:
// k = 0 + 2*COUNTER;
// CHECK: [[COUNTER:%.+]] = load i32, i32* [[COUNTER_ADDR]],
// CHECK: [[C2_MUL:%.+]] = mul i32 [[COUNTER]], 2
// CHECK: [[C2_MUL_0_ADD:%.+]] = add i32 0, [[C2_MUL]]
// CHECK: store i32 [[C2_MUL_0_ADD]], i32* [[K_ADDR:%.+]],
// &a[k][i]
// CHECK: [[A:%.+]] = load i32**, i32*** [[A_ADDR:%.+]],
// CHECK: [[K:%.+]] = load i32, i32* [[K_ADDR]],
// CHECK: [[IDX:%.+]] = zext i32 [[K]] to i64
// CHECK: [[AK_ADDR:%.+]] = getelementptr inbounds i32*, i32** [[A]], i64 [[IDX]]
// CHECK: [[AK:%.+]] = load i32*, i32** [[AK_ADDR]],
// CHECK: [[I:%.+]] = load i32, i32* [[I_ADDR]],
// CHECK: [[IDX:%.+]] = sext i32 [[I]] to i64
// CHECK: [[AKI_ADDR:%.+]] = getelementptr inbounds i32, i32* [[AK]], i64 [[IDX]]
// DEPS[DEP_COUNTER].base_addr = &a[k][i];
// CHECK: [[DEP_COUNTER:%.+]] = load i64, i64* [[DEP_COUNTER_ADDR]],
// CHECK: [[DEPS_DC:%.+]] = getelementptr %struct.kmp_depend_info, %struct.kmp_depend_info* [[DEPS]], i64 [[DEP_COUNTER]]
// CHECK: [[DEPS_DC_BASE_ADDR:%.+]] = getelementptr inbounds %struct.kmp_depend_info, %struct.kmp_depend_info* [[DEPS_DC]], i{{.+}} 0, i{{.+}} 0
// CHECK: [[AKI_INT:%.+]] = ptrtoint i32* [[AKI_ADDR]] to i64
// CHECK: store i64 [[AKI_INT]], i64* [[DEPS_DC_BASE_ADDR]],
// DEPS[DEP_COUNTER].size = sizeof(a[k][i]);
// CHECK: [[DEPS_DC_SIZE:%.+]] = getelementptr inbounds %struct.kmp_depend_info, %struct.kmp_depend_info* [[DEPS_DC]], i{{.+}} 0, i{{.+}} 1
// CHECK: store i64 4, i64* [[DEPS_DC_SIZE]],
// DEPS[DEP_COUNTER].flags = in;
// CHECK: [[DEPS_DC_FLAGS:%.+]] = getelementptr inbounds %struct.kmp_depend_info, %struct.kmp_depend_info* [[DEPS_DC]], i{{.+}} 0, i{{.+}} 2
// CHECK: store i8 1, i8* [[DEPS_DC_FLAGS]],
// DEP_COUNTER = DEP_COUNTER + 1;
// CHECK: [[DEP_COUNTER:%.+]] = load i64, i64* [[DEP_COUNTER_ADDR]],
// CHECK: [[INC:%.+]] = add nuw i64 [[DEP_COUNTER]], 1
// CHECK: store i64 [[INC]], i64* [[DEP_COUNTER_ADDR]],
// COUNTER = COUNTER + 1;
// CHECK: [[COUNTER:%.+]] = load i32, i32* [[COUNTER_ADDR]],
// CHECK: [[INC:%.+]] = add i32 [[COUNTER]], 1
// CHECK: store i32 [[INC]], i32* [[COUNTER_ADDR]],
// CHECK: br label %[[CONT]]
// CHECK: [[EXIT]]:
// CHECK: [[DEP_BEGIN:%.+]] = bitcast %struct.kmp_depend_info* [[DEPS]] to i8*
// CHECK: = call i32 @__kmpc_omp_task_with_deps(%struct.ident_t* @{{.+}}, i32 %{{.+}}, i8* [[BUF]], i32 [[NDEPS]], i8* [[DEP_BEGIN]], i32 0, i8* null)
#pragma omp task depend(iterator(unsigned k=0:i:2), in: a[k][i])
++i;
}
#endif
|
DRB095-doall2-taskloop-orig-yes.c | /*
Copyright (C) 1991-2018 Free Software Foundation, Inc.
This file is part of the GNU C Library.
The GNU C Library is free software; you can redistribute it andor
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2.1 of the License, or (at your option) any later version.
The GNU C Library is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with the GNU C Library; if not, see
<http:www.gnu.org/licenses/>.
*/
/*
This header is separate from features.h so that the compiler can
include it implicitly at the start of every compilation. It must
not itself include <features.h> or any other header that includes
<features.h> because the implicit include comes before any feature
test macros that may be defined in a source file before it first
explicitly includes a system header. GCC knows the name of this
header in order to preinclude it.
*/
/*
glibc's intent is to support the IEC 559 math functionality, real
and complex. If the GCC (4.9 and later) predefined macros
specifying compiler intent are available, use them to determine
whether the overall intent is to support these features; otherwise,
presume an older compiler has intent to support these features and
define these macros by default.
*/
/*
wchar_t uses Unicode 10.0.0. Version 10.0 of the Unicode Standard is
synchronized with ISOIEC 10646:2017, fifth edition, plus
the following additions from Amendment 1 to the fifth edition:
- 56 emoji characters
- 285 hentaigana
- 3 additional Zanabazar Square characters
*/
/*
Copyright (c) 2017, Lawrence Livermore National Security, LLC.
Produced at the Lawrence Livermore National Laboratory
Written by Chunhua Liao, Pei-Hung Lin, Joshua Asplund,
Markus Schordan, and Ian Karlin
(email: liao6@llnl.gov, lin32@llnl.gov, asplund1@llnl.gov,
schordan1@llnl.gov, karlin1@llnl.gov)
LLNL-CODE-732144
All rights reserved.
This file is part of DataRaceBench. For details, see
https:github.comLLNL/dataracebench. Please also see the LICENSE file
for our additional BSD notice.
Redistribution and use in source and binary forms, with
or without modification, are permitted provided that the following
conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the disclaimer below.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the disclaimer (as noted below)
in the documentation and/or other materials provided with the
distribution.
* Neither the name of the LLNS/LLNL nor the names of its contributors
may be used to endorse or promote products derived from this
software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND
CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES,
INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF
MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL LAWRENCE LIVERMORE NATIONAL
SECURITY, LLC, THE U.S. DEPARTMENT OF ENERGY OR CONTRIBUTORS BE
LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY,
OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING
IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF
THE POSSIBILITY OF SUCH DAMAGE.
*/
/*
Two-dimensional array computation:
Only one loop is associated with omp taskloop.
The inner loop's loop iteration variable will be shared if it is shared in the enclosing context.
Data race pairs (we allow multiple ones to preserve the pattern):
Write_set = {j@69:14, j@69:30}
Read_set = {j@69:21, j@69:30, j@70:16}
Any pair from Write_set vs. Write_set and Write_set vs. Read_set is a data race pair.
*/
#include <stdio.h>
int a[100][100];
int main()
{
int i, j;
int _ret_val_0;
#pragma cetus private(i, j)
#pragma loop name main#0
#pragma cetus parallel
#pragma omp parallel for private(i, j)
for (i=0; i<100; i ++ )
{
#pragma cetus private(j)
#pragma loop name main#0#0
#pragma cetus parallel
#pragma omp parallel for private(j)
for (j=0; j<100; j ++ )
{
a[i][j]+=1;
}
}
printf("a[50][50]=%d\n", a[50][50]);
_ret_val_0=0;
return _ret_val_0;
}
|
convolutiondepthwise_3x3.h | // Tencent is pleased to support the open source community by making ncnn available.
//
// Copyright (C) 2017 THL A29 Limited, a Tencent company. All rights reserved.
//
// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
// in compliance with the License. You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// Unless required by applicable law or agreed to in writing, software distributed
// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
// CONDITIONS OF ANY KIND, either express or implied. See the License for the
// specific language governing permissions and limitations under the License.
static void convdw3x3s1_sse(const Mat& bottom_blob, Mat& top_blob, const Mat& _kernel, const Mat& _bias, const Option& opt)
{
int w = bottom_blob.w;
int outw = top_blob.w;
int outh = top_blob.h;
const int group = bottom_blob.c;
const float* kernel = _kernel;
const float* bias = _bias;
#pragma omp parallel for num_threads(opt.num_threads)
for (int g = 0; g < group; g++)
{
Mat out = top_blob.channel(g);
const float bias0 = bias ? bias[g] : 0.f;
const float* kernel0 = kernel + g * 9;
float* outptr = out;
float* outptr2 = outptr + outw;
const float* img0 = bottom_blob.channel(g);
const float* r0 = img0;
const float* r1 = img0 + w;
const float* r2 = img0 + w * 2;
const float* r3 = img0 + w * 3;
const float* k0 = kernel0;
const float* k1 = kernel0 + 3;
const float* k2 = kernel0 + 6;
int i = 0;
for (; i + 1 < outh; i += 2)
{
int remain = outw;
for (; remain > 0; remain--)
{
float sum = bias0;
sum += r0[0] * k0[0];
sum += r0[1] * k0[1];
sum += r0[2] * k0[2];
sum += r1[0] * k1[0];
sum += r1[1] * k1[1];
sum += r1[2] * k1[2];
sum += r2[0] * k2[0];
sum += r2[1] * k2[1];
sum += r2[2] * k2[2];
float sum2 = bias0;
sum2 += r1[0] * k0[0];
sum2 += r1[1] * k0[1];
sum2 += r1[2] * k0[2];
sum2 += r2[0] * k1[0];
sum2 += r2[1] * k1[1];
sum2 += r2[2] * k1[2];
sum2 += r3[0] * k2[0];
sum2 += r3[1] * k2[1];
sum2 += r3[2] * k2[2];
*outptr = sum;
*outptr2 = sum2;
r0++;
r1++;
r2++;
r3++;
outptr++;
outptr2++;
}
r0 += 2 + w;
r1 += 2 + w;
r2 += 2 + w;
r3 += 2 + w;
outptr += outw;
outptr2 += outw;
}
for (; i < outh; i++)
{
int remain = outw;
for (; remain > 0; remain--)
{
float sum = bias0;
sum += r0[0] * k0[0];
sum += r0[1] * k0[1];
sum += r0[2] * k0[2];
sum += r1[0] * k1[0];
sum += r1[1] * k1[1];
sum += r1[2] * k1[2];
sum += r2[0] * k2[0];
sum += r2[1] * k2[1];
sum += r2[2] * k2[2];
*outptr = sum;
r0++;
r1++;
r2++;
outptr++;
}
r0 += 2;
r1 += 2;
r2 += 2;
}
}
}
static void convdw3x3s2_sse(const Mat& bottom_blob, Mat& top_blob, const Mat& _kernel, const Mat& _bias, const Option& opt)
{
int w = bottom_blob.w;
int outw = top_blob.w;
int outh = top_blob.h;
const int group = bottom_blob.c;
const int tailstep = w - 2 * outw + w;
const float* kernel = _kernel;
const float* bias = _bias;
#pragma omp parallel for num_threads(opt.num_threads)
for (int g = 0; g < group; g++)
{
Mat out = top_blob.channel(g);
const float bias0 = bias ? bias[g] : 0.f;
const float* kernel0 = kernel + g * 9;
float* outptr = out;
const float* img0 = bottom_blob.channel(g);
const float* r0 = img0;
const float* r1 = img0 + w;
const float* r2 = img0 + w * 2;
const float* k0 = kernel0;
const float* k1 = kernel0 + 3;
const float* k2 = kernel0 + 6;
int i = 0;
for (; i < outh; i++)
{
int remain = outw;
for (; remain > 0; remain--)
{
float sum = bias0;
sum += r0[0] * k0[0];
sum += r0[1] * k0[1];
sum += r0[2] * k0[2];
sum += r1[0] * k1[0];
sum += r1[1] * k1[1];
sum += r1[2] * k1[2];
sum += r2[0] * k2[0];
sum += r2[1] * k2[1];
sum += r2[2] * k2[2];
*outptr = sum;
r0 += 2;
r1 += 2;
r2 += 2;
outptr++;
}
r0 += tailstep;
r1 += tailstep;
r2 += tailstep;
}
}
}
|
gol.h | #ifndef GRAPHIC_H
#define GRAPHIC_H
#include <string>
#include <iostream>
#include <ctime>
#include <allegro5/allegro.h>
#include <allegro5/allegro_primitives.h>
#include <allegro5/allegro_font.h>
#include <omp.h>
//#define NUM_THREADS 8
using namespace std;
double t_Start;
double t_Stop;
class GamingOfLife{
private:
int** matrix;
ALLEGRO_BITMAP* bmp;
ALLEGRO_BITMAP* buffer;
ALLEGRO_DISPLAY *display;
int scale_w;
int scale_h;
int scale_x;
int scale_y;
bool swap;
int population;
int change_color;
int pixel;
int screenWidth;
int screenHeight;
int x;
int y;
public:
GamingOfLife(const int &scale_w, const int &scale_h, const int &scale_x, const int &scale_y, ALLEGRO_BITMAP *buffer, ALLEGRO_DISPLAY *display, int m, int n): population(0), change_color(0), pixel(18)
{
x=m;
y=n;
screenHeight=pixel*y;
screenWidth=pixel*x;
al_init_primitives_addon();
srand(time(NULL));
int cont=0;
matrix = new int*[screenHeight];
for(int i=0;i<screenHeight;i++)
matrix[i]=new int[screenWidth];
#pragma omp parallel for schedule(dynamic)
for (int i=0;i<y;i++)
for (int j=0;j<x;j++)
{
if(cont!=(x*y)/2){
matrix[i][j]=1; //set this for worst case (test)
//matrix[i][j]=rand()%2;
}
else{
matrix[i][j]=0;
}
if(matrix[i][j])
cont++;
}
this->scale_h = scale_h;
this->scale_w = scale_w;
this->scale_x = scale_x;
this->scale_y = scale_y;
this->buffer = buffer;
this->display = display;
}
void nextChild()
{
int** next_matrix = new int*[screenHeight];
for(int i=0;i<screenHeight;i++)
next_matrix[i]=new int[screenWidth];
t_Start = omp_get_wtime();
#pragma omp parallel for schedule(static)
for (int l = 1; l < y - 1; l++)
{
for (int m = 1; m < x - 1; m++)
{
int alive_neighbours = 0;
for (int i = -1; i <= 1; i++)
for (int j = -1; j <= 1; j++)
alive_neighbours += matrix[l + i][m + j];
alive_neighbours -= matrix[l][m];
if ((matrix[l][m] == 1) && (alive_neighbours < 2))
next_matrix[l][m] = 0;
else if ((matrix[l][m] == 1) && (alive_neighbours > 3))
next_matrix[l][m] = 0;
else if ((matrix[l][m] == 0) && (alive_neighbours == 3))
next_matrix[l][m] = 1;
else
next_matrix[l][m] = matrix[l][m];
}
}
t_Stop = omp_get_wtime() - t_Start;
//cout << "Parallel Execution Time: " << t_Stop << " seconds." << endl;
cout<<t_Stop;
for(int i=0;i<x;i++)
delete[] matrix[i];
delete[] matrix;
matrix=next_matrix;
}
void showMap ()
{
al_set_target_bitmap(buffer);
al_clear_to_color(al_map_rgb( 0x42, 0x42, 0x42));
nextChild();
drawMap();
drawPopulation();
al_set_target_backbuffer(this->display);
al_draw_scaled_bitmap(buffer, 0, 0,(x*pixel) ,(y*pixel), scale_x, scale_y, scale_w, scale_h, 0);
}
void drawMap ()
{
population=0;
change_color=0;
for(int i=0;i<y;i++)
for(int j=0;j<x;j++){
if(matrix[i][j]==1 && change_color==0){
al_draw_filled_rectangle(j*pixel-8,i*pixel-8,j*pixel+8,i*pixel+8,al_map_rgb(0x29,0x62,0xFF));
change_color++;
population++;
}
else if(matrix[i][j]==1){
al_draw_filled_rectangle(j*pixel-8,i*pixel-8,j*pixel+8,i*pixel+8,al_map_rgb(0xFF,0x02,0x66));
change_color=0;
population++;
}
}
}
void drawPopulation (){
al_draw_textf(al_create_builtin_font(), al_map_rgb(0,0,0) , 780 , 10 , ALLEGRO_ALIGN_CENTRE, "Population: %d" , population);
al_flip_display();
}
~GamingOfLife(){}
};
#endif |
traversalIntraTask.c | int my2(int a) {
newFunc();
18;
#pragma omp barrier
int q;
// return 1;
im4: return a;
}
int my(int a) {
im4: return a;
}
int foo(int aFoo, int bFoo, int cFoo) {
int tempo;
tempo = 0;
tempo += 1;
if (aFoo > 10) {
testFoo();
}
if (bFoo > 20) {
return aFoo + bFoo + cFoo;
}
g1 = 10;
g2 = 100 + g1;
int a;
lNotTestFoo: return my(18);
}
void te() {
23;
}
void newFunc2() {
if (0 == 1)
33;
// newFunc();
int c = 30;
int d = 40;
testThis: if (d == 40) {
return;
} else if (d > 40) {
my2(10);
c = 60;
// newFoo();
te();
17;
// my2(10);
d = 50;
// } else {
// my2(10);
// c = 60;
}
}
void newFunc() {
// int a = 10;
// int b = 20;
34;
// my2(10);
int d;
#pragma omp parallel
{
#pragma omp parallel
{
testThis: 2;
// a = 100;
// newFunc2();
// my2(1);
// d = 50;
5;
if (0) {
35;
// newFunc();
}
// a = 110;
#pragma omp parallel
{
11;
#pragma omp barrier
#pragma omp parallel
{
int x2;
#pragma omp barrier
}
}
while (0) {
#pragma omp barrier
int y;
l: y = 3;
}
goto l;
int pqr;
}
int z = 100;
}
return;
}
int main(int argc, char * argv[]) {
newFunc();
112;
newFunc2();
12;
}
|
GB_unaryop__identity_uint64_uint16.c | //------------------------------------------------------------------------------
// GB_unaryop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2019, All Rights Reserved.
// http://suitesparse.com See GraphBLAS/Doc/License.txt for license.
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_iterator.h"
#include "GB_unaryop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB_unop__identity_uint64_uint16
// op(A') function: GB_tran__identity_uint64_uint16
// C type: uint64_t
// A type: uint16_t
// cast: uint64_t cij = (uint64_t) aij
// unaryop: cij = aij
#define GB_ATYPE \
uint16_t
#define GB_CTYPE \
uint64_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
uint16_t aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = x ;
// casting
#define GB_CASTING(z, x) \
uint64_t z = (uint64_t) x ;
// cij = op (cast (aij))
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
GB_GETA (aij, Ax, pA) ; \
/* Cx [pC] = op (cast (aij)) */ \
GB_CASTING (x, aij) ; \
GB_OP (GB_CX (pC), x) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_IDENTITY || GxB_NO_UINT64 || GxB_NO_UINT16)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop__identity_uint64_uint16
(
uint64_t *restrict Cx,
const uint16_t *restrict Ax,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (int64_t p = 0 ; p < anz ; p++)
{
GB_CAST_OP (p, p) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_tran__identity_uint64_uint16
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *restrict *Rowcounts,
GBI_single_iterator Iter,
const int64_t *restrict A_slice,
int naslice
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#define GB_PHASE_2_OF_2
#include "GB_unaryop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
cffi.c | #include <stdbool.h>
#include <stdio.h>
#include <math.h>
#include <inttypes.h>
void cffi_int32hammingdistance(
const int n,
const int* a,
const int* b,
int* dist
) {
#pragma omp parallel for
for (int elem_idx = 0; elem_idx < n; elem_idx++) {
dist[elem_idx] = 0;
int x = a[elem_idx] ^ b[elem_idx];
while(x != 0) {
x = x & (x-1);
dist[elem_idx]++;
}
}
} |
private-clauseModificado.c | #include <stdio.h>
#ifdef _OPENMP
#include <omp.h>
#else
#define omp_get_thread_num() 0
#endif
main()
{
int i, n = 7;
int a[n], suma;
for (i=0; i<n; i++)
a[i] = i;
suma=10;
#pragma omp parallel private(suma)
{
#pragma omp for
for (i=0; i<n; i++)
{
suma = suma + a[i];
printf("thread %d suma a[%d] / ", omp_get_thread_num(), i);
}
printf("\n thread %d suma= %d", omp_get_thread_num(), suma);
}
printf("\n");
}
|
GB_unop__identity_fc32_int64.c | //------------------------------------------------------------------------------
// GB_unop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_atomics.h"
#include "GB_unop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB (_unop_apply__identity_fc32_int64)
// op(A') function: GB (_unop_tran__identity_fc32_int64)
// C type: GxB_FC32_t
// A type: int64_t
// cast: GxB_FC32_t cij = GxB_CMPLXF ((float) (aij), 0)
// unaryop: cij = aij
#define GB_ATYPE \
int64_t
#define GB_CTYPE \
GxB_FC32_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
int64_t aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = x ;
// casting
#define GB_CAST(z, aij) \
GxB_FC32_t z = GxB_CMPLXF ((float) (aij), 0) ;
// cij = op (aij)
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
int64_t aij = Ax [pA] ; \
/* Cx [pC] = op (cast (aij)) */ \
GxB_FC32_t z = GxB_CMPLXF ((float) (aij), 0) ; \
Cx [pC] = z ; \
}
// true if operator is the identity op with no typecasting
#define GB_OP_IS_IDENTITY_WITH_NO_TYPECAST \
0
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_IDENTITY || GxB_NO_FC32 || GxB_NO_INT64)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_apply__identity_fc32_int64)
(
GxB_FC32_t *Cx, // Cx and Ax may be aliased
const int64_t *Ax,
const int8_t *restrict Ab, // A->b if A is bitmap
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
// TODO: if OP is ONE and uniform-valued matrices are exploited, then
// do this in O(1) time
if (Ab == NULL)
{
#if ( GB_OP_IS_IDENTITY_WITH_NO_TYPECAST )
GB_memcpy (Cx, Ax, anz * sizeof (int64_t), nthreads) ;
#else
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
int64_t aij = Ax [p] ;
GxB_FC32_t z = GxB_CMPLXF ((float) (aij), 0) ;
Cx [p] = z ;
}
#endif
}
else
{
// bitmap case, no transpose; A->b already memcpy'd into C->b
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!Ab [p]) continue ;
int64_t aij = Ax [p] ;
GxB_FC32_t z = GxB_CMPLXF ((float) (aij), 0) ;
Cx [p] = z ;
}
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_tran__identity_fc32_int64)
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
convolution_pack1ton_fp16s.h | // Tencent is pleased to support the open source community by making ncnn available.
//
// Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.
//
// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
// in compliance with the License. You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// Unless required by applicable law or agreed to in writing, software distributed
// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
// CONDITIONS OF ANY KIND, either express or implied. See the License for the
// specific language governing permissions and limitations under the License.
static void convolution_pack1ton_fp16s_rvv(const Mat& bottom_blob, Mat& top_blob, const Mat& weight_data_fp16, const Mat& bias_data, int kernel_w, int kernel_h, int dilation_w, int dilation_h, int stride_w, int stride_h, int activation_type, const Mat& activation_params, const Option& opt)
{
const int packn = csrr_vlenb() / 2;
const word_type vl = vsetvl_e16m1(packn);
int w = bottom_blob.w;
int channels = bottom_blob.c;
int outw = top_blob.w;
int outh = top_blob.h;
int outch = top_blob.c;
const int maxk = kernel_w * kernel_h;
// kernel offsets
std::vector<int> _space_ofs(maxk);
int* space_ofs = &_space_ofs[0];
{
int p1 = 0;
int p2 = 0;
int gap = w * dilation_h - kernel_w * dilation_w;
for (int i = 0; i < kernel_h; i++)
{
for (int j = 0; j < kernel_w; j++)
{
space_ofs[p1] = p2;
p1++;
p2 += dilation_w;
}
p2 += gap;
}
}
const float* bias_data_ptr = bias_data;
// num_output
#pragma omp parallel for num_threads(opt.num_threads)
for (int p = 0; p < outch; p++)
{
__fp16* outptr = top_blob.channel(p);
for (int i = 0; i < outh; i++)
{
for (int j = 0; j < outw; j++)
{
vfloat32m2_t _sum = vfmv_v_f_f32m2(0.f, vl);
if (bias_data_ptr)
{
_sum = vle32_v_f32m2(bias_data_ptr + p * packn, vl);
}
const __fp16* kptr = weight_data_fp16.channel(p);
// channels
for (int q = 0; q < channels; q++)
{
const Mat m = bottom_blob.channel(q);
const __fp16* sptr = m.row<const __fp16>(i * stride_h) + j * stride_w;
for (int k = 0; k < maxk; k++)
{
float val = (float)sptr[space_ofs[k]];
vfloat32m2_t _w = vfwcvt_f_f_v_f32m2(vle16_v_f16m1(kptr, vl), vl);
_sum = vfmacc_vf_f32m2(_sum, val, _w, vl);
kptr += packn;
}
}
_sum = activation_ps(_sum, activation_type, activation_params, vl);
vse16_v_f16m1(outptr + j * packn, vfncvt_f_f_w_f16m1(_sum, vl), vl);
}
outptr += outw * packn;
}
}
}
static void convolution_pack1ton_fp16sa_rvv(const Mat& bottom_blob, Mat& top_blob, const Mat& weight_data_fp16, const Mat& bias_data_fp16, int kernel_w, int kernel_h, int dilation_w, int dilation_h, int stride_w, int stride_h, int activation_type, const Mat& activation_params, const Option& opt)
{
const int packn = csrr_vlenb() / 2;
const word_type vl = vsetvl_e16m1(packn);
int w = bottom_blob.w;
int channels = bottom_blob.c;
int outw = top_blob.w;
int outh = top_blob.h;
int outch = top_blob.c;
const int maxk = kernel_w * kernel_h;
// kernel offsets
std::vector<int> _space_ofs(maxk);
int* space_ofs = &_space_ofs[0];
{
int p1 = 0;
int p2 = 0;
int gap = w * dilation_h - kernel_w * dilation_w;
for (int i = 0; i < kernel_h; i++)
{
for (int j = 0; j < kernel_w; j++)
{
space_ofs[p1] = p2;
p1++;
p2 += dilation_w;
}
p2 += gap;
}
}
const __fp16* bias_data_ptr = bias_data_fp16;
// num_output
#pragma omp parallel for num_threads(opt.num_threads)
for (int p = 0; p < outch; p++)
{
__fp16* outptr = top_blob.channel(p);
for (int i = 0; i < outh; i++)
{
for (int j = 0; j < outw; j++)
{
vfloat16m1_t _sum = vfmv_v_f_f16m1(0.f, vl);
if (bias_data_ptr)
{
_sum = vle16_v_f16m1(bias_data_ptr + p * packn, vl);
}
const __fp16* kptr = weight_data_fp16.channel(p);
// channels
for (int q = 0; q < channels; q++)
{
const Mat m = bottom_blob.channel(q);
const __fp16* sptr = m.row<const __fp16>(i * stride_h) + j * stride_w;
for (int k = 0; k < maxk; k++)
{
__fp16 val = sptr[space_ofs[k]];
vfloat16m1_t _w = vle16_v_f16m1(kptr, vl);
_sum = vfmacc_vf_f16m1(_sum, val, _w, vl);
kptr += packn;
}
}
_sum = activation_ps(_sum, activation_type, activation_params, vl);
vse16_v_f16m1(outptr + j * packn, _sum, vl);
}
outptr += outw * packn;
}
}
}
|
3d7pt.c | /*
* Order-1, 3D 7 point stencil
* Adapted from PLUTO and Pochoir test bench
*
* Tareq Malas
*/
#include <stdio.h>
#include <stdlib.h>
#include <sys/time.h>
#ifdef LIKWID_PERFMON
#include <likwid.h>
#endif
#include "print_utils.h"
#define TESTS 2
#define MAX(a,b) ((a) > (b) ? a : b)
#define MIN(a,b) ((a) < (b) ? a : b)
/* Subtract the `struct timeval' values X and Y,
* storing the result in RESULT.
*
* Return 1 if the difference is negative, otherwise 0.
*/
int timeval_subtract(struct timeval *result, struct timeval *x, struct timeval *y)
{
/* Perform the carry for the later subtraction by updating y. */
if (x->tv_usec < y->tv_usec)
{
int nsec = (y->tv_usec - x->tv_usec) / 1000000 + 1;
y->tv_usec -= 1000000 * nsec;
y->tv_sec += nsec;
}
if (x->tv_usec - y->tv_usec > 1000000)
{
int nsec = (x->tv_usec - y->tv_usec) / 1000000;
y->tv_usec += 1000000 * nsec;
y->tv_sec -= nsec;
}
/* Compute the time remaining to wait.
* tv_usec is certainly positive.
*/
result->tv_sec = x->tv_sec - y->tv_sec;
result->tv_usec = x->tv_usec - y->tv_usec;
/* Return 1 if result is negative. */
return x->tv_sec < y->tv_sec;
}
int main(int argc, char *argv[])
{
int t, i, j, k, test;
int Nx, Ny, Nz, Nt;
if (argc > 3) {
Nx = atoi(argv[1])+2;
Ny = atoi(argv[2])+2;
Nz = atoi(argv[3])+2;
}
if (argc > 4)
Nt = atoi(argv[4]);
double ****A = (double ****) malloc(sizeof(double***)*2);
A[0] = (double ***) malloc(sizeof(double**)*Nz);
A[1] = (double ***) malloc(sizeof(double**)*Nz);
for(i=0; i<Nz; i++){
A[0][i] = (double**) malloc(sizeof(double*)*Ny);
A[1][i] = (double**) malloc(sizeof(double*)*Ny);
for(j=0;j<Ny;j++){
A[0][i][j] = (double*) malloc(sizeof(double)*Nx);
A[1][i][j] = (double*) malloc(sizeof(double)*Nx);
}
}
// tile size information, including extra element to decide the list length
int *tile_size = (int*) malloc(sizeof(int));
tile_size[0] = -1;
// The list is modified here before source-to-source transformations
tile_size = (int*) realloc((void *)tile_size, sizeof(int)*5);
tile_size[0] = 32;
tile_size[1] = 32;
tile_size[2] = 24;
tile_size[3] = 32;
tile_size[4] = -1;
// for timekeeping
int ts_return = -1;
struct timeval start, end, result;
double tdiff = 0.0, min_tdiff=1.e100;
const int BASE = 1024;
const double alpha = 0.0876;
const double beta = 0.0765;
// initialize variables
//
srand(42);
for (i = 1; i < Nz; i++) {
for (j = 1; j < Ny; j++) {
for (k = 1; k < Nx; k++) {
A[0][i][j][k] = 1.0 * (rand() % BASE);
}
}
}
#ifdef LIKWID_PERFMON
LIKWID_MARKER_INIT;
#pragma omp parallel
{
LIKWID_MARKER_THREADINIT;
#pragma omp barrier
LIKWID_MARKER_START("calc");
}
#endif
int num_threads = 1;
#if defined(_OPENMP)
num_threads = omp_get_max_threads();
#endif
for(test=0; test<TESTS; test++){
gettimeofday(&start, 0);
// serial execution - Addition: 6 && Multiplication: 2
#pragma scop
for (t = 0; t < Nt-1; t++) {
for (i = 1; i < Nz-1; i++) {
for (j = 1; j < Ny-1; j++) {
for (k = 1; k < Nx-1; k++) {
A[(t+1)%2][i][j][k] = alpha * (A[t%2][i][j][k])
+ beta * (A[t%2][i - 1][j][k] + A[t%2][i][j - 1][k] + A[t%2][i][j][k - 1] +
A[t%2][i + 1][j][k] + A[t%2][i][j + 1][k] + A[t%2][i][j][k + 1]);
}
}
}
}
#pragma endscop
gettimeofday(&end, 0);
ts_return = timeval_subtract(&result, &end, &start);
tdiff = (double) (result.tv_sec + result.tv_usec * 1.0e-6);
min_tdiff = min(min_tdiff, tdiff);
printf("Rank 0 TEST# %d time: %f\n", test, tdiff);
}
PRINT_RESULTS(1, "constant")
#ifdef LIKWID_PERFMON
#pragma omp parallel
{
LIKWID_MARKER_STOP("calc");
}
LIKWID_MARKER_CLOSE;
#endif
// Free allocated arrays (Causing performance degradation
/* for(i=0; i<Nz; i++){
for(j=0;j<Ny;j++){
free(A[0][i][j]);
free(A[1][i][j]);
}
free(A[0][i]);
free(A[1][i]);
}
free(A[0]);
free(A[1]);
*/
return 0;
}
|
hpgmg-fv.c | //------------------------------------------------------------------------------------------------------------------------------
// Copyright Notice
//------------------------------------------------------------------------------------------------------------------------------
// HPGMG, Copyright (c) 2014, The Regents of the University of
// California, through Lawrence Berkeley National Laboratory (subject to
// receipt of any required approvals from the U.S. Dept. of Energy). All
// rights reserved.
//
// If you have questions about your rights to use or distribute this
// software, please contact Berkeley Lab's Technology Transfer Department
// at TTD@lbl.gov.
//
// NOTICE. This software is owned by the U.S. Department of Energy. As
// such, the U.S. Government has been granted for itself and others
// acting on its behalf a paid-up, nonexclusive, irrevocable, worldwide
// license in the Software to reproduce, prepare derivative works, and
// perform publicly and display publicly. Beginning five (5) years after
// the date permission to assert copyright is obtained from the U.S.
// Department of Energy, and subject to any subsequent five (5) year
// renewals, the U.S. Government is granted for itself and others acting
// on its behalf a paid-up, nonexclusive, irrevocable, worldwide license
// in the Software to reproduce, prepare derivative works, distribute
// copies to the public, perform publicly and display publicly, and to
// permit others to do so.
//------------------------------------------------------------------------------------------------------------------------------
// Samuel Williams
// SWWilliams@lbl.gov
// Lawrence Berkeley National Lab
//------------------------------------------------------------------------------------------------------------------------------
#include <stdio.h>
#include <stdlib.h>
#include <stdint.h>
#include <string.h>
#include <math.h>
//------------------------------------------------------------------------------------------------------------------------------
#ifdef USE_MPI
#include <mpi.h>
#endif
#ifdef _OPENMP
#include <omp.h>
#endif
//------------------------------------------------------------------------------------------------------------------------------
#include "timers.h"
#include "defines.h"
#include "level.h"
#include "mg.h"
#include "operators.h"
#include "solvers.h"
//------------------------------------------------------------------------------------------------------------------------------
#if CD
#include "cd.h"
#elif SCR
#include "scr.h"
#endif
//------------------------------------------------------------------------------------------------------------------------------
#if CD
/****************** preservation of all_grids by manually listing all allocated spaces inside all_grids ********************/
//// [Song] FIXME: functionalized preservation copied from PGAS preservation; need to modify to fit MPI data structure
//size_t cd_preserve_mgtype(cd_handle_t* cd_h, mg_type *all_grids, const char* name, const int start_level){
// size_t prv_size=0;
// char prv_name[100];
// sprintf(prv_name, "mg_type_%s", name);
// size_t tmp_size = sizeof(mg_type);
// cd_preserve(cd_h, all_grids, tmp_size, kCopy, prv_name, prv_name);
// prv_size += tmp_size;
// // traverse all pointers to preserve all data
// prv_size += cd_preserve_levels(cd_h, all_grids->levels, all_grids->num_levels, name);
// return prv_size;
//}
size_t cd_preserve_mgtype(cd_handle_t* cd_h, mg_type *all_grids, const char* name_in, const int start_level, uint32_t prv_mask){
size_t prv_size=0;
size_t tmp_size;
int maxLevel = 100;
cd_preserve(cd_h, all_grids, sizeof(mg_type), prv_mask, "all_grids", NULL);
prv_size += sizeof(mg_type);
tmp_size = maxLevel*sizeof(level_type*)/*100 is hard-coded maxLevel*/;
cd_preserve(cd_h, all_grids->levels, tmp_size, prv_mask, "levels", NULL);
prv_size += tmp_size;
//int i=0;
int i=start_level;
char name[100];
while (i<all_grids->num_levels){
//if (all_grids->levels[i] == NULL) break;
sprintf(name, "%s_level_%d", name_in, i);
tmp_size = sizeof(level_type);
cd_preserve(cd_h, all_grids->levels[i], tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
tmp_size = all_grids->levels[i]->boxes_in.i*all_grids->levels[i]->boxes_in.j*all_grids->levels[i]->boxes_in.k*sizeof(int);
cd_preserve(cd_h, all_grids->levels[i]->rank_of_box, tmp_size, prv_mask, strcat(name,"_rank_of_box"), NULL);
prv_size += tmp_size;
tmp_size = all_grids->levels[i]->num_my_boxes*sizeof(box_type);
cd_preserve(cd_h, all_grids->levels[i]->my_boxes, tmp_size, prv_mask, strcat(name,"_my_boxes"), NULL);
prv_size += tmp_size;
tmp_size = ((uint64_t)(all_grids->levels[i]->numVectors)*all_grids->levels[i]->num_my_boxes*all_grids->levels[i]->box_volume*sizeof(double)+4096);
cd_preserve(cd_h, all_grids->levels[i]->vectors_base, tmp_size, prv_mask, strcat(name,"_vector_base"), NULL);
prv_size += tmp_size;
tmp_size = all_grids->levels[i]->numVectors*sizeof(double*);
cd_preserve(cd_h, all_grids->levels[i]->vectors, tmp_size, prv_mask, strcat(name,"_vectors"), NULL);
prv_size += tmp_size;
tmp_size = all_grids->levels[i]->num_my_blocks*sizeof(blockCopy_type);
cd_preserve(cd_h, all_grids->levels[i]->my_blocks, tmp_size, prv_mask, strcat(name,"_myblocks"), NULL);
prv_size += tmp_size;
tmp_size = 2*all_grids->levels[i]->my_boxes[0].kStride*sizeof(double)+256;
cd_preserve(cd_h, all_grids->levels[i]->RedBlack_base, tmp_size, prv_mask, strcat(name,"_RedBlack_base"), NULL);
prv_size += tmp_size;
int j=0;
while(j<all_grids->levels[i]->num_my_boxes){
sprintf(name, "level_%d_box_%d", i, j);
tmp_size = all_grids->levels[i]->numVectors*sizeof(double*);
cd_preserve(cd_h, all_grids->levels[i]->my_boxes[j].vectors, tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
j++;
}
j=0;
while(j<STENCIL_MAX_SHAPES){
sprintf(name, "level_%d_shape_%d_send_ranks", i, j);
tmp_size = all_grids->levels[i]->exchange_ghosts[j].num_sends*sizeof(int);
cd_preserve(cd_h, all_grids->levels[i]->exchange_ghosts[j].send_ranks, tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
sprintf(name, "level_%d_shape_%d_send_sizes", i, j);
tmp_size = all_grids->levels[i]->exchange_ghosts[j].num_sends*sizeof(int);
cd_preserve(cd_h, all_grids->levels[i]->exchange_ghosts[j].send_sizes, tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
sprintf(name, "level_%d_shape_%d_send_buffers", i, j);
tmp_size = all_grids->levels[i]->exchange_ghosts[j].num_sends*sizeof(double*);
cd_preserve(cd_h,all_grids->levels[i]->exchange_ghosts[j].send_buffers, tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
sprintf(name, "level_%d_shape_%d_recv_ranks", i, j);
tmp_size = all_grids->levels[i]->exchange_ghosts[j].num_recvs*sizeof(int);
cd_preserve(cd_h, all_grids->levels[i]->exchange_ghosts[j].recv_ranks, tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
sprintf(name, "level_%d_shape_%d_recv_sizes", i, j);
tmp_size = all_grids->levels[i]->exchange_ghosts[j].num_recvs*sizeof(int);
cd_preserve(cd_h, all_grids->levels[i]->exchange_ghosts[j].recv_sizes, tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
sprintf(name, "level_%d_shape_%d_recv_buffers", i, j);
tmp_size = all_grids->levels[i]->exchange_ghosts[j].num_recvs*sizeof(double*);
cd_preserve(cd_h,all_grids->levels[i]->exchange_ghosts[j].recv_buffers, tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
sprintf(name, "level_%d_shape_%d_block0", i, j);
tmp_size = all_grids->levels[i]->exchange_ghosts[j].num_blocks[0]*sizeof(blockCopy_type);
cd_preserve(cd_h,all_grids->levels[i]->exchange_ghosts[j].blocks[0], tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
sprintf(name, "level_%d_shape_%d_block1", i, j);
tmp_size = all_grids->levels[i]->exchange_ghosts[j].num_blocks[1]*sizeof(blockCopy_type);
cd_preserve(cd_h,all_grids->levels[i]->exchange_ghosts[j].blocks[1], tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
sprintf(name, "level_%d_shape_%d_block2", i, j);
tmp_size = all_grids->levels[i]->exchange_ghosts[j].num_blocks[2]*sizeof(blockCopy_type);
cd_preserve(cd_h,all_grids->levels[i]->exchange_ghosts[j].blocks[2], tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
sprintf(name, "level_%d_shape_%d_boundary_blocks", i, j);
tmp_size = all_grids->levels[i]->boundary_condition.num_blocks[j]*sizeof(blockCopy_type);
cd_preserve(cd_h,all_grids->levels[i]->boundary_condition.blocks[j], tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
#ifdef USE_MPI
sprintf(name, "level_%d_shape_%d_mpi_requests", i, j);
tmp_size = (all_grids->levels[i]->exchange_ghosts[j].num_sends+all_grids->levels[i]->exchange_ghosts[j].num_recvs)*sizeof(MPI_Request);
cd_preserve(cd_h,all_grids->levels[i]->exchange_ghosts[j].requests, tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
sprintf(name, "level_%d_shape_%d_mpi_status", i, j);
tmp_size = (all_grids->levels[i]->exchange_ghosts[j].num_sends+all_grids->levels[i]->exchange_ghosts[j].num_recvs)*sizeof(MPI_Status);
cd_preserve(cd_h,all_grids->levels[i]->exchange_ghosts[j].status, tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
#endif
int k=0;
while(k<all_grids->levels[i]->exchange_ghosts[j].num_sends){
sprintf(name, "level_%d_shape_%d_send_buffer_%d", i, j, k);
tmp_size = all_grids->levels[i]->exchange_ghosts[j].send_sizes[k]*sizeof(double);
cd_preserve(cd_h, all_grids->levels[i]->exchange_ghosts[j].send_buffers[k], tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
k++;
}
j++;
}
//build_restriction
j=RESTRICT_CELL;
sprintf(name, "level_%d_restriction_%d_send_ranks", i, j);
tmp_size = all_grids->levels[i]->restriction[j].num_sends*sizeof(int);
cd_preserve(cd_h, all_grids->levels[i]->restriction[j].send_ranks, tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
sprintf(name, "level_%d_restriction_%d_send_sizes", i, j);
tmp_size = all_grids->levels[i]->restriction[j].num_sends*sizeof(int);
cd_preserve(cd_h, all_grids->levels[i]->restriction[j].send_sizes, tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
sprintf(name, "level_%d_restriction_%d_send_buffers", i, j);
tmp_size = all_grids->levels[i]->restriction[j].num_sends*sizeof(double*);
cd_preserve(cd_h,all_grids->levels[i]->restriction[j].send_buffers, tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
sprintf(name, "level_%d_restriction_%d_recv_ranks", i, j);
tmp_size = all_grids->levels[i]->restriction[j].num_recvs*sizeof(int);
cd_preserve(cd_h, all_grids->levels[i]->restriction[j].recv_ranks, tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
sprintf(name, "level_%d_restriction_%d_recv_sizes", i, j);
tmp_size = all_grids->levels[i]->restriction[j].num_recvs*sizeof(int);
cd_preserve(cd_h, all_grids->levels[i]->restriction[j].recv_sizes, tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
sprintf(name, "level_%d_restriction_%d_recv_buffers", i, j);
tmp_size = all_grids->levels[i]->restriction[j].num_recvs*sizeof(double*);
cd_preserve(cd_h,all_grids->levels[i]->restriction[j].recv_buffers, tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
#ifdef USE_MPI
sprintf(name, "level_%d_restriction_%d_mpi_requests", i, j);
tmp_size = (all_grids->levels[i]->restriction[j].num_sends+all_grids->levels[i]->restriction[j].num_recvs)*sizeof(MPI_Request);
cd_preserve(cd_h,all_grids->levels[i]->restriction[j].requests, tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
sprintf(name, "level_%d_restriction_%d_mpi_status", i, j);
tmp_size = (all_grids->levels[i]->restriction[j].num_sends+all_grids->levels[i]->restriction[j].num_recvs)*sizeof(MPI_Status);
cd_preserve(cd_h,all_grids->levels[i]->restriction[j].status, tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
#endif
j=RESTRICT_FACE_I;
sprintf(name, "level_%d_restriction_%d_send_ranks", i, j);
tmp_size = all_grids->levels[i]->restriction[j].num_sends*sizeof(int);
cd_preserve(cd_h, all_grids->levels[i]->restriction[j].send_ranks, tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
sprintf(name, "level_%d_restriction_%d_send_sizes", i, j);
tmp_size = all_grids->levels[i]->restriction[j].num_sends*sizeof(int);
cd_preserve(cd_h, all_grids->levels[i]->restriction[j].send_sizes, tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
sprintf(name, "level_%d_restriction_%d_send_buffers", i, j);
tmp_size = all_grids->levels[i]->restriction[j].num_sends*sizeof(double*);
cd_preserve(cd_h,all_grids->levels[i]->restriction[j].send_buffers, tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
sprintf(name, "level_%d_restriction_%d_recv_ranks", i, j);
tmp_size = all_grids->levels[i]->restriction[j].num_recvs*sizeof(int);
cd_preserve(cd_h, all_grids->levels[i]->restriction[j].recv_ranks, tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
sprintf(name, "level_%d_restriction_%d_recv_sizes", i, j);
tmp_size = all_grids->levels[i]->restriction[j].num_recvs*sizeof(int);
cd_preserve(cd_h, all_grids->levels[i]->restriction[j].recv_sizes, tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
sprintf(name, "level_%d_restriction_%d_recv_buffers", i, j);
tmp_size = all_grids->levels[i]->restriction[j].num_recvs*sizeof(double*);
cd_preserve(cd_h,all_grids->levels[i]->restriction[j].recv_buffers, tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
#ifdef USE_MPI
sprintf(name, "level_%d_restriction_%d_mpi_requests", i, j);
tmp_size = (all_grids->levels[i]->restriction[j].num_sends+all_grids->levels[i]->restriction[j].num_recvs)*sizeof(MPI_Request);
cd_preserve(cd_h,all_grids->levels[i]->restriction[j].requests, tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
sprintf(name, "level_%d_restriction_%d_mpi_status", i, j);
tmp_size = (all_grids->levels[i]->restriction[j].num_sends+all_grids->levels[i]->restriction[j].num_recvs)*sizeof(MPI_Status);
cd_preserve(cd_h,all_grids->levels[i]->restriction[j].status, tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
#endif
j=RESTRICT_FACE_J;
sprintf(name, "level_%d_restriction_%d_send_ranks", i, j);
tmp_size = all_grids->levels[i]->restriction[j].num_sends*sizeof(int);
cd_preserve(cd_h, all_grids->levels[i]->restriction[j].send_ranks, tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
sprintf(name, "level_%d_restriction_%d_send_sizes", i, j);
tmp_size = all_grids->levels[i]->restriction[j].num_sends*sizeof(int);
cd_preserve(cd_h, all_grids->levels[i]->restriction[j].send_sizes, tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
sprintf(name, "level_%d_restriction_%d_send_buffers", i, j);
tmp_size = all_grids->levels[i]->restriction[j].num_sends*sizeof(double*);
cd_preserve(cd_h,all_grids->levels[i]->restriction[j].send_buffers, tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
sprintf(name, "level_%d_restriction_%d_recv_ranks", i, j);
tmp_size = all_grids->levels[i]->restriction[j].num_recvs*sizeof(int);
cd_preserve(cd_h, all_grids->levels[i]->restriction[j].recv_ranks, tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
sprintf(name, "level_%d_restriction_%d_recv_sizes", i, j);
tmp_size = all_grids->levels[i]->restriction[j].num_recvs*sizeof(int);
cd_preserve(cd_h, all_grids->levels[i]->restriction[j].recv_sizes, tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
sprintf(name, "level_%d_restriction_%d_recv_buffers", i, j);
tmp_size = all_grids->levels[i]->restriction[j].num_recvs*sizeof(double*);
cd_preserve(cd_h,all_grids->levels[i]->restriction[j].recv_buffers, tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
#ifdef USE_MPI
sprintf(name, "level_%d_restriction_%d_mpi_requests", i, j);
tmp_size = (all_grids->levels[i]->restriction[j].num_sends+all_grids->levels[i]->restriction[j].num_recvs)*sizeof(MPI_Request);
cd_preserve(cd_h,all_grids->levels[i]->restriction[j].requests, tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
sprintf(name, "level_%d_restriction_%d_mpi_status", i, j);
tmp_size = (all_grids->levels[i]->restriction[j].num_sends+all_grids->levels[i]->restriction[j].num_recvs)*sizeof(MPI_Status);
cd_preserve(cd_h,all_grids->levels[i]->restriction[j].status, tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
#endif
j=RESTRICT_FACE_K;
sprintf(name, "level_%d_restriction_%d_send_ranks", i, j);
tmp_size = all_grids->levels[i]->restriction[j].num_sends*sizeof(int);
cd_preserve(cd_h, all_grids->levels[i]->restriction[j].send_ranks, tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
sprintf(name, "level_%d_restriction_%d_send_sizes", i, j);
tmp_size = all_grids->levels[i]->restriction[j].num_sends*sizeof(int);
cd_preserve(cd_h, all_grids->levels[i]->restriction[j].send_sizes, tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
sprintf(name, "level_%d_restriction_%d_send_buffers", i, j);
tmp_size = all_grids->levels[i]->restriction[j].num_sends*sizeof(double*);
cd_preserve(cd_h,all_grids->levels[i]->restriction[j].send_buffers, tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
sprintf(name, "level_%d_restriction_%d_recv_ranks", i, j);
tmp_size = all_grids->levels[i]->restriction[j].num_recvs*sizeof(int);
cd_preserve(cd_h, all_grids->levels[i]->restriction[j].recv_ranks, tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
sprintf(name, "level_%d_restriction_%d_recv_sizes", i, j);
tmp_size = all_grids->levels[i]->restriction[j].num_recvs*sizeof(int);
cd_preserve(cd_h, all_grids->levels[i]->restriction[j].recv_sizes, tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
sprintf(name, "level_%d_restriction_%d_recv_buffers", i, j);
tmp_size = all_grids->levels[i]->restriction[j].num_recvs*sizeof(double*);
cd_preserve(cd_h,all_grids->levels[i]->restriction[j].recv_buffers, tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
#ifdef USE_MPI
sprintf(name, "level_%d_restriction_%d_mpi_requests", i, j);
tmp_size = (all_grids->levels[i]->restriction[j].num_sends+all_grids->levels[i]->restriction[j].num_recvs)*sizeof(MPI_Request);
cd_preserve(cd_h,all_grids->levels[i]->restriction[j].requests, tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
sprintf(name, "level_%d_restriction_%d_mpi_status", i, j);
tmp_size = (all_grids->levels[i]->restriction[j].num_sends+all_grids->levels[i]->restriction[j].num_recvs)*sizeof(MPI_Status);
cd_preserve(cd_h,all_grids->levels[i]->restriction[j].status, tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
#endif
//build interpolation
sprintf(name, "level_%d_interpolation_send_ranks", i);
tmp_size = all_grids->levels[i]->interpolation.num_sends*sizeof(int);
cd_preserve(cd_h, all_grids->levels[i]->interpolation.send_ranks, tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
sprintf(name, "level_%d_interpolation_send_sizes", i);
tmp_size = all_grids->levels[i]->interpolation.num_sends*sizeof(int);
cd_preserve(cd_h, all_grids->levels[i]->interpolation.send_sizes, tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
sprintf(name, "level_%d_interpolation_send_buffers", i);
tmp_size = all_grids->levels[i]->interpolation.num_sends*sizeof(double*);
cd_preserve(cd_h,all_grids->levels[i]->interpolation.send_buffers, tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
sprintf(name, "level_%d_interpolation_recv_ranks", i);
tmp_size = all_grids->levels[i]->interpolation.num_recvs*sizeof(int);
cd_preserve(cd_h, all_grids->levels[i]->interpolation.recv_ranks, tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
sprintf(name, "level_%d_interpolation_recv_sizes", i);
tmp_size = all_grids->levels[i]->interpolation.num_recvs*sizeof(int);
cd_preserve(cd_h, all_grids->levels[i]->interpolation.recv_sizes, tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
sprintf(name, "level_%d_interpolation_recv_buffers", i);
tmp_size = all_grids->levels[i]->interpolation.num_recvs*sizeof(double*);
cd_preserve(cd_h,all_grids->levels[i]->interpolation.recv_buffers, tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
#ifdef USE_MPI
sprintf(name, "level_%d_interpolation_mpi_requests", i);
tmp_size = (all_grids->levels[i]->interpolation.num_sends+all_grids->levels[i]->interpolation.num_recvs)*sizeof(MPI_Request);
cd_preserve(cd_h,all_grids->levels[i]->interpolation.requests, tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
sprintf(name, "level_%d_interpolation_mpi_status", i);
tmp_size = (all_grids->levels[i]->interpolation.num_sends+all_grids->levels[i]->interpolation.num_recvs)*sizeof(MPI_Status);
cd_preserve(cd_h,all_grids->levels[i]->interpolation.status, tmp_size, prv_mask, name, NULL);
prv_size += tmp_size;
#endif
//printf("After level %d: prv_size = %f MB\n", i, prv_size*1.0/1024/1024);
i++;
}
return prv_size;
}
#endif
//------------------------------------------------------------------------------------------------------------------------------
#if CD
void bench_hpgmg(mg_type *all_grids, int onLevel, double a, double b, double dtol, double rtol, size_t* prv_size)
#else
void bench_hpgmg(mg_type *all_grids, int onLevel, double a, double b, double dtol, double rtol)
#endif
{
int doTiming;
int minSolves = 10; // do at least minSolves MGSolves
double timePerSolve = 0;
#if CD
//int num_tasks;
//MPI_Comm_size(MPI_COMM_WORLD, &num_tasks);
cd_handle_t * cd_bench = cd_create(getcurrentcd(), 1, "cd_l2", kStrict | kDRAM, 0x3);
//cd_handle_t * cd_bench = cd_create(getcurrentcd(), 1, "cd_l2", kStrict | kDRAM, 0xF);
#endif
for(doTiming=0;doTiming<=1;doTiming++){ // first pass warms up, second pass times
#ifdef USE_HPM // IBM performance counters for BGQ...
if( (doTiming==1) && (onLevel==0) )HPM_Start("FMGSolve()");
#endif
#ifdef USE_MPI
double minTime = 60.0; // minimum time in seconds that the benchmark should run
double startTime = MPI_Wtime();
if(doTiming==1){
if((minTime/timePerSolve)>minSolves)minSolves=(minTime/timePerSolve); // if one needs to do more than minSolves to run for minTime, change minSolves
}
#endif
if(all_grids->levels[onLevel]->my_rank==0){
if(doTiming==0){fprintf(stdout,"\n\n===== Warming up by running %d solves ==========================================\n",minSolves);}
else{fprintf(stdout,"\n\n===== Running %d solves ========================================================\n",minSolves);}
fflush(stdout);
}
int numSolves = 0; // solves completed
MGResetTimers(all_grids);
while( (numSolves<minSolves) ){
//#if CD
//char cd_name[50]="cd_bench";
//cd_begin(cd_bench, cd_name);
//size_t prv_size = cd_preserve_mgtype(cd_bench, all_grids, cd_name, onLevel, kCopy);
//printf("CD \"%s\" preserved %f MB data.\n", cd_name, prv_size*1.0/1024/1024);
////#elif SCR
////int need_checkpoint;
////SCR_Need_checkpoint(&need_checkpoint);
////if (need_checkpoint){
//// SCR_Start_checkpoint();
//// int rank;
//// MPI_Comm_rank(MPI_COMM_WORLD, &rank);
//// char checkpoint_file[256];
//// sprintf(checkpoint_file, "scr_ckpt_files/rank_%d.ckpt", rank);
//// char scr_file[SCR_MAX_FILENAME];
//// SCR_Route_file(checkpoint_file, scr_file);
//// //printf("%d: scr_file:%s\n", rank, scr_file);
//// /*each process opens scr_file, takes checkpoints, and closes the file*/
//// FILE *fs = fopen(scr_file, "w");
//// int valid=0;
//// if (fs != NULL){
//// valid = 1;
//// // take checkpoints
//// size_t nwrites=0;
//// nwrites+=fwrite(all_grids, sizeof(mg_type), 1, fs);
//// nwrites+=fwrite(&a, sizeof(a), 1, fs);
//// nwrites+=fwrite(&b, sizeof(b), 1, fs);
//// nwrites+=fwrite(&dtol, sizeof(dtol), 1, fs);
//// nwrites+=fwrite(&rtol, sizeof(rtol), 1, fs);
//// nwrites+=fwrite(&onLevel, sizeof(onLevel), 1, fs);
//// //if (nwrites != (sizeof(mg_type)+sizeof(a)+sizeof(b)+sizeof(dtol)+sizeof(rtol)+sizeof(onLevel)))
//// if (nwrites != 6)
//// valid = 0;
//// if (fclose(fs)!=0) valid=0;
//// }
//// SCR_Complete_checkpoint(valid);
////}
//#endif
zero_vector(all_grids->levels[onLevel],VECTOR_U);
#ifdef USE_FCYCLES
#if CD
FMGSolve(all_grids,onLevel,VECTOR_U,VECTOR_F,a,b,dtol,rtol,prv_size,&numSolves);
#else
FMGSolve(all_grids,onLevel,VECTOR_U,VECTOR_F,a,b,dtol,rtol);
#endif
#else
MGSolve(all_grids,onLevel,VECTOR_U,VECTOR_F,a,b,dtol,rtol);
#endif
numSolves++;
//#if CD
//cd_complete(cd_bench);
//#endif
}
#ifdef USE_MPI
if(doTiming==0){
double endTime = MPI_Wtime();
timePerSolve = (endTime-startTime)/numSolves;
MPI_Bcast(&timePerSolve,1,MPI_DOUBLE,0,MPI_COMM_WORLD); // after warmup, process 0 broadcasts the average time per solve (consensus)
}
#endif
#ifdef USE_HPM // IBM performance counters for BGQ...
if( (doTiming==1) && (onLevel==0) )HPM_Stop("FMGSolve()");
#endif
}
#if CD
cd_destroy(cd_bench);
#endif
}
//------------------------------------------------------------------------------------------------------------------------------
int main(int argc, char **argv){
int my_rank=0;
int num_tasks=1;
int OMP_Threads = 1;
//- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
#ifdef _OPENMP
#pragma omp parallel
{
#pragma omp master
{
OMP_Threads = omp_get_num_threads();
}
}
#endif
//- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
// initialize MPI and HPM
#ifdef USE_MPI
int actual_threading_model = -1;
int requested_threading_model = -1;
requested_threading_model = MPI_THREAD_SINGLE;
//requested_threading_model = MPI_THREAD_FUNNELED;
//requested_threading_model = MPI_THREAD_SERIALIZED;
//requested_threading_model = MPI_THREAD_MULTIPLE;
#ifdef _OPENMP
requested_threading_model = MPI_THREAD_FUNNELED;
//requested_threading_model = MPI_THREAD_SERIALIZED;
//requested_threading_model = MPI_THREAD_MULTIPLE;
#endif
MPI_Init_thread(&argc, &argv, requested_threading_model, &actual_threading_model);
MPI_Comm_size(MPI_COMM_WORLD, &num_tasks);
MPI_Comm_rank(MPI_COMM_WORLD, &my_rank);
#ifdef USE_HPM // IBM HPM counters for BGQ...
HPM_Init();
#endif
#endif // USE_MPI
//- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
// parse the arguments...
int log2_box_dim = 6; // 64^3
int target_boxes_per_rank = 1;
//int64_t target_memory_per_rank = -1; // not specified
int64_t box_dim = -1;
int64_t boxes_in_i = -1;
int64_t target_boxes = -1;
if(argc==3){
log2_box_dim=atoi(argv[1]);
target_boxes_per_rank=atoi(argv[2]);
if(log2_box_dim>9){
// NOTE, in order to use 32b int's for array indexing, box volumes must be less than 2^31 doubles
if(my_rank==0){fprintf(stderr,"log2_box_dim must be less than 10\n");}
#ifdef USE_MPI
MPI_Finalize();
#endif
exit(0);
}
if(log2_box_dim<4){
if(my_rank==0){fprintf(stderr,"log2_box_dim must be at least 4\n");}
#ifdef USE_MPI
MPI_Finalize();
#endif
exit(0);
}
if(target_boxes_per_rank<1){
if(my_rank==0){fprintf(stderr,"target_boxes_per_rank must be at least 1\n");}
#ifdef USE_MPI
MPI_Finalize();
#endif
exit(0);
}
#ifndef MAX_COARSE_DIM
#define MAX_COARSE_DIM 11
#endif
box_dim=1<<log2_box_dim;
target_boxes = (int64_t)target_boxes_per_rank*(int64_t)num_tasks;
boxes_in_i = -1;
int64_t bi;
for(bi=1;bi<1000;bi++){ // search all possible problem sizes to find acceptable boxes_in_i
int64_t total_boxes = bi*bi*bi;
if(total_boxes<=target_boxes){
int64_t coarse_grid_dim = box_dim*bi;
while( (coarse_grid_dim%2) == 0){coarse_grid_dim=coarse_grid_dim/2;}
if(coarse_grid_dim<=MAX_COARSE_DIM){
boxes_in_i = bi;
}
}
}
if(boxes_in_i<1){
if(my_rank==0){fprintf(stderr,"failed to find an acceptable problem size\n");}
#ifdef USE_MPI
MPI_Finalize();
#endif
exit(0);
}
} // argc==3
#if 0
else if(argc==2){ // interpret argv[1] as target_memory_per_rank
char *ptr = argv[1];
char *tmp;
target_memory_per_rank = strtol(ptr,&ptr,10);
if(target_memory_per_rank<1){
if(my_rank==0){fprintf(stderr,"unrecognized target_memory_per_rank... '%s'\n",argv[1]);}
#ifdef USE_MPI
MPI_Finalize();
#endif
exit(0);
}
tmp=strstr(ptr,"TB");if(tmp){ptr=tmp+2;target_memory_per_rank *= (uint64_t)(1<<30)*(1<<10);}
tmp=strstr(ptr,"GB");if(tmp){ptr=tmp+2;target_memory_per_rank *= (uint64_t)(1<<30);}
tmp=strstr(ptr,"MB");if(tmp){ptr=tmp+2;target_memory_per_rank *= (uint64_t)(1<<20);}
tmp=strstr(ptr,"tb");if(tmp){ptr=tmp+2;target_memory_per_rank *= (uint64_t)(1<<30)*(1<<10);}
tmp=strstr(ptr,"gb");if(tmp){ptr=tmp+2;target_memory_per_rank *= (uint64_t)(1<<30);}
tmp=strstr(ptr,"mb");if(tmp){ptr=tmp+2;target_memory_per_rank *= (uint64_t)(1<<20);}
if( (ptr) && (*ptr != '\0') ){
if(my_rank==0){fprintf(stderr,"unrecognized units... '%s'\n",ptr);}
#ifdef USE_MPI
MPI_Finalize();
#endif
exit(0);
}
// FIX, now search for an 'acceptable' box_dim and boxes_in_i constrained by target_memory_per_rank, num_tasks, and MAX_COARSE_DIM
} // argc==2
#endif
else{
if(my_rank==0){fprintf(stderr,"usage: ./hpgmg-fv [log2_box_dim] [target_boxes_per_rank]\n");}
//fprintf(stderr," ./hpgmg-fv [target_memory_per_rank[MB,GB,TB]]\n");}
#ifdef USE_MPI
MPI_Finalize();
#endif
exit(0);
}
#if CD
size_t prv_size = 0;
char cd_name[50];
cd_handle_t* root_cd = cd_init(num_tasks, my_rank, kGlobalDisk);
sprintf(cd_name, "root");
cd_begin(root_cd, cd_name);
cd_preserve(root_cd, &num_tasks, sizeof(num_tasks), kCopy, cd_name, NULL);
cd_preserve(root_cd, &my_rank, sizeof(my_rank), kCopy, cd_name, NULL);
#elif SCR
SCR_Init();
#endif
//- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
if(my_rank==0){
fprintf(stdout,"\n\n");
fprintf(stdout,"********************************************************************************\n");
fprintf(stdout,"*** HPGMG-FV Benchmark ***\n");
fprintf(stdout,"********************************************************************************\n");
#ifdef USE_MPI
if(requested_threading_model == MPI_THREAD_MULTIPLE )fprintf(stdout,"Requested MPI_THREAD_MULTIPLE, ");
else if(requested_threading_model == MPI_THREAD_SINGLE )fprintf(stdout,"Requested MPI_THREAD_SINGLE, ");
else if(requested_threading_model == MPI_THREAD_FUNNELED )fprintf(stdout,"Requested MPI_THREAD_FUNNELED, ");
else if(requested_threading_model == MPI_THREAD_SERIALIZED)fprintf(stdout,"Requested MPI_THREAD_SERIALIZED, ");
else if(requested_threading_model == MPI_THREAD_MULTIPLE )fprintf(stdout,"Requested MPI_THREAD_MULTIPLE, ");
else fprintf(stdout,"Requested Unknown MPI Threading Model (%d), ",requested_threading_model);
if(actual_threading_model == MPI_THREAD_MULTIPLE )fprintf(stdout,"got MPI_THREAD_MULTIPLE\n");
else if(actual_threading_model == MPI_THREAD_SINGLE )fprintf(stdout,"got MPI_THREAD_SINGLE\n");
else if(actual_threading_model == MPI_THREAD_FUNNELED )fprintf(stdout,"got MPI_THREAD_FUNNELED\n");
else if(actual_threading_model == MPI_THREAD_SERIALIZED)fprintf(stdout,"got MPI_THREAD_SERIALIZED\n");
else if(actual_threading_model == MPI_THREAD_MULTIPLE )fprintf(stdout,"got MPI_THREAD_MULTIPLE\n");
else fprintf(stdout,"got Unknown MPI Threading Model (%d)\n",actual_threading_model);
#endif
fprintf(stdout,"%d MPI Tasks of %d threads\n",num_tasks,OMP_Threads);
fprintf(stdout,"\n\n===== Benchmark setup ==========================================================\n");
}
#if CD
cd_handle_t * cd_l1 = cd_create(getcurrentcd(), 1, "cd_l1", kStrict | kGlobalDisk, 0x7);
//cd_handle_t * cd_l1 = cd_create(getcurrentcd(), 1, "cd_l1", kStrict | kGlobalDisk, 0xF);
sprintf(cd_name, "cd_l1_mgbuild");
#ifdef HMCD
cd_begin(cd_l1);
#else
cd_begin(cd_l1, cd_name);
#endif
cd_preserve(cd_l1, &my_rank, sizeof(my_rank), kCopy, cd_name, NULL);
cd_handle_t *cd_build_inner = cd_create(cd_l1, 1, "cd_l2", kStrict | kDRAM, 0x3);
#endif
//- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
// create the fine level...
#ifdef USE_PERIODIC_BC
int bc = BC_PERIODIC;
int minCoarseDim = 2; // avoid problems with black box calculation of D^{-1} for poisson with periodic BC's on a 1^3 grid
#else
int bc = BC_DIRICHLET;
int minCoarseDim = 1; // assumes you can drop order on the boundaries
#endif
level_type level_h;
int ghosts=stencil_get_radius();
#if CD
#ifdef HMCD
cd_begin(cd_build_inner);
#else
cd_begin(cd_build_inner, "cd_build_cl");
#endif
cd_preserve(cd_build_inner, &my_rank, sizeof(my_rank), kCopy, "cd_build_inner", NULL);
#endif
//SZNOTE: two MPI_Allreduce to gather information...
create_level(&level_h,boxes_in_i,box_dim,ghosts,VECTORS_RESERVED,bc,my_rank,num_tasks);
#if CD
cd_complete(cd_build_inner);
#endif
#ifdef USE_HELMHOLTZ
double a=1.0;double b=1.0; // Helmholtz
if(my_rank==0)fprintf(stdout," Creating Helmholtz (a=%f, b=%f) test problem\n",a,b);
#else
double a=0.0;double b=1.0; // Poisson
if(my_rank==0)fprintf(stdout," Creating Poisson (a=%f, b=%f) test problem\n",a,b);
#endif
double h=1.0/( (double)boxes_in_i*(double)box_dim ); // [0,1]^3 problem
#if CD
#ifdef HMCD
cd_begin(cd_build_inner);
#else
cd_begin(cd_build_inner, "cd_build_ip");
#endif
cd_preserve(cd_build_inner, &my_rank, sizeof(my_rank), kCopy, "cd_build_inner", NULL);
#endif
initialize_problem(&level_h,h,a,b); // initialize VECTOR_ALPHA, VECTOR_BETA*, and VECTOR_F
#if CD
cd_complete(cd_build_inner);
#ifdef HMCD
cd_begin(cd_build_inner);
#else
cd_begin(cd_build_inner, "cd_build_ro");
#endif
cd_preserve(cd_build_inner, &my_rank, sizeof(my_rank), kCopy, "cd_build_inner", NULL);
#endif
////FIXME: [Song] need to refine mapping inside this function..
//SZNOTE: restriction and exchange boundaries within, lots of MPI non-blocking communications
rebuild_operator(&level_h,NULL,a,b); // calculate Dinv and lambda_max
#if CD
cd_complete(cd_build_inner);
#ifdef HMCD
cd_begin(cd_build_inner);
#else
cd_begin(cd_build_inner, "cd_build_bcp");
#endif
cd_preserve(cd_build_inner, &my_rank, sizeof(my_rank), kCopy, "cd_build_inner", NULL);
#endif
if(level_h.boundary_condition.type == BC_PERIODIC){ // remove any constants from the RHS for periodic problems
double average_value_of_f = mean(&level_h,VECTOR_F);
if(average_value_of_f!=0.0){
if(my_rank==0){fprintf(stderr," WARNING... Periodic boundary conditions, but f does not sum to zero... mean(f)=%e\n",average_value_of_f);}
shift_vector(&level_h,VECTOR_F,VECTOR_F,-average_value_of_f);
}
}
#if CD
cd_complete(cd_build_inner);
#ifdef HMCD
cd_begin(cd_build_inner);
#else
cd_begin(cd_build_inner, "cd_build_mgb");
#endif
cd_preserve(cd_build_inner, &my_rank, sizeof(my_rank), kCopy, "cd_build_inner", NULL);
#endif
//- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
// create the MG hierarchy...
mg_type MG_h;
//SZNOTE: MPI_Comm_split inside and MPI_Allreduce on splitted communicators
MGBuild(&MG_h,&level_h,a,b,minCoarseDim); // build the Multigrid Hierarchy
#if CD
cd_complete(cd_build_inner);
cd_destroy(cd_build_inner);
cd_preserve_mgtype(cd_l1, &MG_h, cd_name, 0, kOutput);
//cd_detect(cd_l1);
cd_complete(cd_l1);
#endif
//- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
// HPGMG-500 benchmark proper
// evaluate performance on problem sizes of h, 2h, and 4h
// (i.e. examine dynamic range for problem sizes N, N/8, and N/64)
//double dtol=1e-15;double rtol= 0.0; // converged if ||D^{-1}(b-Ax)|| < dtol
double dtol= 0.0;double rtol=1e-10; // converged if ||b-Ax|| / ||b|| < rtol
int l;
#ifndef TEST_ERROR
double AverageSolveTime[3];
for(l=0;l<3;l++){
#if CD
sprintf(cd_name, "cd_l1_bench_l%d", l);
#ifdef HMCD
cd_begin(cd_l1);
#else
cd_begin(cd_l1, cd_name);
#endif
cd_preserve(cd_l1, &l, sizeof(l), kCopy, cd_name, NULL);
size_t tmp_size = cd_preserve_mgtype(cd_l1, &MG_h, cd_name, l, kCopy);
printf("Level %d: CD \"%s\" preserved %f MB data.\n", l, cd_name, tmp_size*1.0/1024/1024);
prv_size += tmp_size;
#endif
if(l>0)restriction(MG_h.levels[l],VECTOR_F,MG_h.levels[l-1],VECTOR_F,RESTRICT_CELL);
//SZNOTE: actual solver, lots of MPI communications
#if CD
bench_hpgmg(&MG_h,l,a,b,dtol,rtol,&prv_size);
#else
bench_hpgmg(&MG_h,l,a,b,dtol,rtol);
#endif
AverageSolveTime[l] = (double)MG_h.timers.MGSolve / (double)MG_h.MGSolves_performed;
if(my_rank==0){fprintf(stdout,"\n\n===== Timing Breakdown =========================================================\n");}
MGPrintTiming(&MG_h,l);
#if CD
cd_preserve_mgtype(cd_l1, &MG_h, cd_name, l, kOutput);
cd_detect(cd_l1);
cd_complete(cd_l1);
#endif
}
//////////////////////// solve 2h and 4h problem ///////////////////////////
//#if CD
//sprintf(cd_name, "cd_l1_bench_l%d", l);
//cd_begin(cd_l1, cd_name);
//cd_preserve(cd_l1, &l, sizeof(l), kCopy, cd_name, NULL);
//tmp_size = cd_preserve_mgtype(cd_l1, &MG_h, cd_name, l, kCopy);
//printf("Level %d: CD \"%s\" preserved %f MB data.\n", l, cd_name, tmp_size*1.0/1024/1024);
//prv_size += tmp_size;
//#endif
//for(;l<3;l++){
// if(l>0)restriction(MG_h.levels[l],VECTOR_F,MG_h.levels[l-1],VECTOR_F,RESTRICT_CELL);
// //SZNOTE: actual solver, lots of MPI communications
//#if CD
// bench_hpgmg(&MG_h,l,a,b,dtol,rtol,&prv_size);
//#else
// bench_hpgmg(&MG_h,l,a,b,dtol,rtol);
//#endif
// AverageSolveTime[l] = (double)MG_h.timers.MGSolve / (double)MG_h.MGSolves_performed;
// if(my_rank==0){fprintf(stdout,"\n\n===== Timing Breakdown =========================================================\n");}
// MGPrintTiming(&MG_h,l);
//}
//#if CD
//cd_preserve_mgtype(cd_l1, &MG_h, cd_name, 1/*l*/, kOutput);
//cd_detect(cd_l1);
//cd_complete(cd_l1);
//#endif
if(my_rank==0){
#ifdef CALIBRATE_TIMER
double _timeStart=getTime();sleep(1);double _timeEnd=getTime();
double SecondsPerCycle = (double)1.0/(double)(_timeEnd-_timeStart);
#else
double SecondsPerCycle = 1.0;
#endif
fprintf(stdout,"\n\n===== Performance Summary ======================================================\n");
for(l=0;l<3;l++){
double DOF = (double)MG_h.levels[l]->dim.i*(double)MG_h.levels[l]->dim.j*(double)MG_h.levels[l]->dim.k;
double seconds = SecondsPerCycle*(double)AverageSolveTime[l];
double DOFs = DOF / seconds;
fprintf(stdout," h=%0.15e DOF=%0.15e time=%0.6f DOF/s=%0.3e MPI=%d OMP=%d\n",MG_h.levels[l]->h,DOF,seconds,DOFs,num_tasks,OMP_Threads);
}
}
#endif
//- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
if(my_rank==0){fprintf(stdout,"\n\n===== Richardson error analysis ================================================\n");}
// solve A^h u^h = f^h
// solve A^2h u^2h = f^2h
// solve A^4h u^4h = f^4h
// error analysis...
MGResetTimers(&MG_h);
#if CD
sprintf(cd_name, "cd_l1_richerr");
#ifdef HMCD
cd_begin(cd_l1);
#else
cd_begin(cd_l1, cd_name);
#endif
prv_size += cd_preserve_mgtype(cd_l1, &MG_h, cd_name, 0, kCopy);
cd_handle_t *cd_richerr = cd_create(cd_l1, 1, "cd_l2", kStrict | kDRAM, 0x3);
//cd_handle_t *cd_richerr = cd_create(cd_l1, 1, "cd_l2", kStrict | kDRAM, 0xF);
#endif
for(l=0;l<3;l++){
if(l>0)restriction(MG_h.levels[l],VECTOR_F,MG_h.levels[l-1],VECTOR_F,RESTRICT_CELL);
zero_vector(MG_h.levels[l],VECTOR_U);
#ifdef USE_FCYCLES
#if CD
int numsolves = 0;
FMGSolve(&MG_h,l,VECTOR_U,VECTOR_F,a,b,dtol,rtol,&prv_size,&numsolves);
#else
FMGSolve(&MG_h,l,VECTOR_U,VECTOR_F,a,b,dtol,rtol);
#endif
#else
MGSolve(&MG_h,l,VECTOR_U,VECTOR_F,a,b,dtol,rtol);
#endif
}
richardson_error(&MG_h,0,VECTOR_U);
#if CD
cd_destroy(cd_richerr);
cd_detect(cd_l1);
cd_complete(cd_l1);
cd_destroy(cd_l1);
#endif
//- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
if(my_rank==0){fprintf(stdout,"\n\n===== Deallocating memory ======================================================\n");}
MGDestroy(&MG_h);
destroy_level(&level_h);
//- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
if(my_rank==0){fprintf(stdout,"\n\n===== Done =====================================================================\n");}
#if CD
cd_detect(root_cd);
cd_complete(root_cd);
cd_finalize();
#elif SCR
SCR_Finalize();
#endif
#ifdef USE_MPI
#ifdef USE_HPM // IBM performance counters for BGQ...
HPM_Print();
#endif
MPI_Finalize();
#endif
return(0);
//- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
}
|
polybench.c | /**
* This version is stamped on May 10, 2016
*
* Contact:
* Louis-Noel Pouchet <pouchet.ohio-state.edu>
* Tomofumi Yuki <tomofumi.yuki.fr>
*
* Web address: http://polybench.sourceforge.net
*/
/* polybench.c: this file is part of PolyBench/C */
#include <stdio.h>
#include <string.h>
#include <stdlib.h>
#include <unistd.h>
#include <assert.h>
#include <time.h>
#include <sys/time.h>
#include <sys/resource.h>
#include <sched.h>
#include <math.h>
#ifdef _OPENMP
# include <omp.h>
#endif
#if defined(POLYBENCH_PAPI)
# undef POLYBENCH_PAPI
# include "polybench.h"
# define POLYBENCH_PAPI
#else
# include "polybench.h"
#endif
/* By default, collect PAPI counters on thread 0. */
#ifndef POLYBENCH_THREAD_MONITOR
# define POLYBENCH_THREAD_MONITOR 0
#endif
/* Total LLC cache size. By default 32+MB.. */
#ifndef POLYBENCH_CACHE_SIZE_KB
# define POLYBENCH_CACHE_SIZE_KB 32770
#endif
int polybench_papi_counters_threadid = POLYBENCH_THREAD_MONITOR;
double polybench_program_total_flops = 0;
#ifdef POLYBENCH_PAPI
# include <papi.h>
# define POLYBENCH_MAX_NB_PAPI_COUNTERS 96
char* _polybench_papi_eventlist[] = {
#include "papi_counters.list"
NULL
};
int polybench_papi_eventset;
int polybench_papi_eventlist[POLYBENCH_MAX_NB_PAPI_COUNTERS];
long_long polybench_papi_values[POLYBENCH_MAX_NB_PAPI_COUNTERS];
#endif
/*
* Allocation table, to enable inter-array padding. All data allocated
* with polybench_alloc_data should be freed with polybench_free_data.
*
*/
#define NB_INITIAL_TABLE_ENTRIES 512
struct polybench_data_ptrs
{
void** user_view;
void** real_ptr;
int nb_entries;
int nb_avail_entries;
};
static struct polybench_data_ptrs* _polybench_alloc_table = NULL;
static size_t polybench_inter_array_padding_sz = 0;
/* Timer code (gettimeofday). */
double polybench_t_start, polybench_t_end;
/* Timer code (RDTSC). */
unsigned long long int polybench_c_start, polybench_c_end;
static
double rtclock()
{
#if defined(POLYBENCH_TIME) || defined(POLYBENCH_GFLOPS)
struct timeval Tp;
int stat;
stat = gettimeofday (&Tp, NULL);
if (stat != 0)
printf ("Error return from gettimeofday: %d", stat);
return (Tp.tv_sec + Tp.tv_usec * 1.0e-6);
#else
return 0;
#endif
}
#ifdef POLYBENCH_CYCLE_ACCURATE_TIMER
static
unsigned long long int rdtsc()
{
unsigned long long int ret = 0;
unsigned int cycles_lo;
unsigned int cycles_hi;
__asm__ volatile ("RDTSC" : "=a" (cycles_lo), "=d" (cycles_hi));
ret = (unsigned long long int)cycles_hi << 32 | cycles_lo;
return ret;
}
#endif
void polybench_flush_cache()
{
int cs = POLYBENCH_CACHE_SIZE_KB * 1024 / sizeof(double);
double* flush = (double*) calloc (cs, sizeof(double));
int i;
double tmp = 0.0;
#ifdef _OPENMP
#pragma omp parallel for reduction(+:tmp) private(i)
#endif
for (i = 0; i < cs; i++)
tmp += flush[i];
assert (tmp <= 10.0);
free (flush);
}
#ifdef POLYBENCH_LINUX_FIFO_SCHEDULER
void polybench_linux_fifo_scheduler()
{
/* Use FIFO scheduler to limit OS interference. Program must be run
as root, and this works only for Linux kernels. */
struct sched_param schedParam;
schedParam.sched_priority = sched_get_priority_max (SCHED_FIFO);
sched_setscheduler (0, SCHED_FIFO, &schedParam);
}
void polybench_linux_standard_scheduler()
{
/* Restore to standard scheduler policy. */
struct sched_param schedParam;
schedParam.sched_priority = sched_get_priority_max (SCHED_OTHER);
sched_setscheduler (0, SCHED_OTHER, &schedParam);
}
#endif
#ifdef POLYBENCH_PAPI
static
void test_fail(char *file, int line, char *call, int retval)
{
char buf[128];
memset(buf, '\0', sizeof(buf));
if (retval != 0)
fprintf (stdout,"%-40s FAILED\nLine # %d\n", file, line);
else
{
fprintf (stdout,"%-40s SKIPPED\n", file);
fprintf (stdout,"Line # %d\n", line);
}
if (retval == PAPI_ESYS)
{
sprintf (buf, "System error in %s", call);
perror (buf);
}
else if (retval > 0)
fprintf (stdout,"Error: %s\n", call);
else if (retval == 0)
fprintf (stdout,"Error: %s\n", call);
else
{
char errstring[PAPI_MAX_STR_LEN];
// PAPI 5.4.3 has changed the API for PAPI_perror.
#if defined (PAPI_VERSION) && ((PAPI_VERSION_MAJOR(PAPI_VERSION) == 5 && PAPI_VERSION_MINOR(PAPI_VERSION) >= 4) || PAPI_VERSION_MAJOR(PAPI_VERSION) > 5)
fprintf (stdout, "Error in %s: %s\n", call, PAPI_strerror(retval));
#else
PAPI_perror (retval, errstring, PAPI_MAX_STR_LEN);
fprintf (stdout,"Error in %s: %s\n", call, errstring);
#endif
}
fprintf (stdout,"\n");
if (PAPI_is_initialized ())
PAPI_shutdown ();
exit (1);
}
void polybench_papi_init()
{
# ifdef _OPENMP
#pragma omp parallel
{
#pragma omp master
{
if (omp_get_max_threads () < polybench_papi_counters_threadid)
polybench_papi_counters_threadid = omp_get_max_threads () - 1;
}
#pragma omp barrier
if (omp_get_thread_num () == polybench_papi_counters_threadid)
{
# endif
int retval;
polybench_papi_eventset = PAPI_NULL;
if ((retval = PAPI_library_init (PAPI_VER_CURRENT)) != PAPI_VER_CURRENT)
test_fail (__FILE__, __LINE__, "PAPI_library_init", retval);
if ((retval = PAPI_create_eventset (&polybench_papi_eventset))
!= PAPI_OK)
test_fail (__FILE__, __LINE__, "PAPI_create_eventset", retval);
int k;
for (k = 0; _polybench_papi_eventlist[k]; ++k)
{
if ((retval =
PAPI_event_name_to_code (_polybench_papi_eventlist[k],
&(polybench_papi_eventlist[k])))
!= PAPI_OK)
test_fail (__FILE__, __LINE__, "PAPI_event_name_to_code", retval);
}
polybench_papi_eventlist[k] = 0;
# ifdef _OPENMP
}
}
#pragma omp barrier
# endif
}
void polybench_papi_close()
{
# ifdef _OPENMP
#pragma omp parallel
{
if (omp_get_thread_num () == polybench_papi_counters_threadid)
{
# endif
int retval;
if ((retval = PAPI_destroy_eventset (&polybench_papi_eventset))
!= PAPI_OK)
test_fail (__FILE__, __LINE__, "PAPI_destroy_eventset", retval);
if (PAPI_is_initialized ())
PAPI_shutdown ();
# ifdef _OPENMP
}
}
#pragma omp barrier
# endif
}
int polybench_papi_start_counter(int evid)
{
# ifndef POLYBENCH_NO_FLUSH_CACHE
polybench_flush_cache();
# endif
# ifdef _OPENMP
# pragma omp parallel
{
if (omp_get_thread_num () == polybench_papi_counters_threadid)
{
# endif
int retval = 1;
char descr[PAPI_MAX_STR_LEN];
PAPI_event_info_t evinfo;
PAPI_event_code_to_name (polybench_papi_eventlist[evid], descr);
if (PAPI_add_event (polybench_papi_eventset,
polybench_papi_eventlist[evid]) != PAPI_OK)
test_fail (__FILE__, __LINE__, "PAPI_add_event", 1);
if (PAPI_get_event_info (polybench_papi_eventlist[evid], &evinfo)
!= PAPI_OK)
test_fail (__FILE__, __LINE__, "PAPI_get_event_info", retval);
if ((retval = PAPI_start (polybench_papi_eventset)) != PAPI_OK)
test_fail (__FILE__, __LINE__, "PAPI_start", retval);
# ifdef _OPENMP
}
}
#pragma omp barrier
# endif
return 0;
}
void polybench_papi_stop_counter(int evid)
{
# ifdef _OPENMP
# pragma omp parallel
{
if (omp_get_thread_num () == polybench_papi_counters_threadid)
{
# endif
int retval;
long_long values[1];
values[0] = 0;
if ((retval = PAPI_read (polybench_papi_eventset, &values[0]))
!= PAPI_OK)
test_fail (__FILE__, __LINE__, "PAPI_read", retval);
if ((retval = PAPI_stop (polybench_papi_eventset, NULL)) != PAPI_OK)
test_fail (__FILE__, __LINE__, "PAPI_stop", retval);
polybench_papi_values[evid] = values[0];
if ((retval = PAPI_remove_event
(polybench_papi_eventset,
polybench_papi_eventlist[evid])) != PAPI_OK)
test_fail (__FILE__, __LINE__, "PAPI_remove_event", retval);
# ifdef _OPENMP
}
}
#pragma omp barrier
# endif
}
void polybench_papi_print()
{
int verbose = 0;
# ifdef _OPENMP
# pragma omp parallel
{
if (omp_get_thread_num() == polybench_papi_counters_threadid)
{
#ifdef POLYBENCH_PAPI_VERBOSE
verbose = 1;
#endif
if (verbose)
printf ("On thread %d:\n", polybench_papi_counters_threadid);
#endif
int evid;
for (evid = 0; polybench_papi_eventlist[evid] != 0; ++evid)
{
if (verbose)
printf ("%s=", _polybench_papi_eventlist[evid]);
printf ("%llu ", polybench_papi_values[evid]);
if (verbose)
printf ("\n");
}
printf ("\n");
# ifdef _OPENMP
}
}
#pragma omp barrier
# endif
}
#endif
/* ! POLYBENCH_PAPI */
void polybench_prepare_instruments()
{
#ifndef POLYBENCH_NO_FLUSH_CACHE
polybench_flush_cache ();
#endif
#ifdef POLYBENCH_LINUX_FIFO_SCHEDULER
polybench_linux_fifo_scheduler ();
#endif
}
void polybench_timer_start()
{
polybench_prepare_instruments ();
#ifndef POLYBENCH_CYCLE_ACCURATE_TIMER
polybench_t_start = rtclock ();
#else
polybench_c_start = rdtsc ();
#endif
}
void polybench_timer_stop()
{
#ifndef POLYBENCH_CYCLE_ACCURATE_TIMER
polybench_t_end = rtclock ();
#else
polybench_c_end = rdtsc ();
#endif
#ifdef POLYBENCH_LINUX_FIFO_SCHEDULER
polybench_linux_standard_scheduler ();
#endif
}
void polybench_timer_print()
{
#ifdef POLYBENCH_GFLOPS
if (polybench_program_total_flops == 0)
{
printf ("[PolyBench][WARNING] Program flops not defined, use polybench_set_program_flops(value)\n");
printf ("%0.6lf\n", polybench_t_end - polybench_t_start);
}
else
printf ("%0.2lf\n",
(polybench_program_total_flops /
(double)(polybench_t_end - polybench_t_start)) / 1000000000);
#else
# ifndef POLYBENCH_CYCLE_ACCURATE_TIMER
printf ("%0.6f\n", polybench_t_end - polybench_t_start);
# else
printf ("%Ld\n", polybench_c_end - polybench_c_start);
# endif
#endif
}
/*
* These functions are used only if the user defines a specific
* inter-array padding. It grows a global structure,
* _polybench_alloc_table, which keeps track of the data allocated via
* polybench_alloc_data (on which inter-array padding is applied), so
* that the original, non-shifted pointer can be recovered when
* calling polybench_free_data.
*
*/
#ifdef POLYBENCH_ENABLE_INTARRAY_PAD
static
void grow_alloc_table()
{
if (_polybench_alloc_table == NULL ||
(_polybench_alloc_table->nb_entries % NB_INITIAL_TABLE_ENTRIES) != 0 ||
_polybench_alloc_table->nb_avail_entries != 0)
{
/* Should never happen if the API is properly used. */
fprintf (stderr, "[ERROR] Inter-array padding requires to use polybench_alloc_data and polybench_free_data\n");
exit (1);
}
size_t sz = _polybench_alloc_table->nb_entries;
sz += NB_INITIAL_TABLE_ENTRIES;
_polybench_alloc_table->user_view =
realloc (_polybench_alloc_table->user_view, sz * sizeof(void*));
assert(_polybench_alloc_table->user_view != NULL);
_polybench_alloc_table->real_ptr =
realloc (_polybench_alloc_table->real_ptr, sz * sizeof(void*));
assert(_polybench_alloc_table->real_ptr != NULL);
_polybench_alloc_table->nb_avail_entries = NB_INITIAL_TABLE_ENTRIES;
}
static
void* register_padded_pointer(void* ptr, size_t orig_sz, size_t padded_sz)
{
if (_polybench_alloc_table == NULL)
{
fprintf (stderr, "[ERROR] Inter-array padding requires to use polybench_alloc_data and polybench_free_data\n");
exit (1);
}
if (_polybench_alloc_table->nb_avail_entries == 0)
grow_alloc_table ();
int id = _polybench_alloc_table->nb_entries++;
_polybench_alloc_table->real_ptr[id] = ptr;
_polybench_alloc_table->user_view[id] = ptr + (padded_sz - orig_sz);
return _polybench_alloc_table->user_view[id];
}
static
void
free_data_from_alloc_table (void* ptr)
{
if (_polybench_alloc_table != NULL && _polybench_alloc_table->nb_entries > 0)
{
int i;
for (i = 0; i < _polybench_alloc_table->nb_entries; ++i)
if (_polybench_alloc_table->user_view[i] == ptr ||
_polybench_alloc_table->real_ptr[i] == ptr)
break;
if (i != _polybench_alloc_table->nb_entries)
{
free (_polybench_alloc_table->real_ptr[i]);
for (; i < _polybench_alloc_table->nb_entries - 1; ++i)
{
_polybench_alloc_table->user_view[i] =
_polybench_alloc_table->user_view[i + 1];
_polybench_alloc_table->real_ptr[i] =
_polybench_alloc_table->real_ptr[i + 1];
}
_polybench_alloc_table->nb_entries--;
_polybench_alloc_table->nb_avail_entries++;
if (_polybench_alloc_table->nb_entries == 0)
{
free (_polybench_alloc_table->user_view);
free (_polybench_alloc_table->real_ptr);
free (_polybench_alloc_table);
_polybench_alloc_table = NULL;
}
}
}
}
static
void check_alloc_table_state()
{
if (_polybench_alloc_table == NULL)
{
_polybench_alloc_table = (struct polybench_data_ptrs*)
malloc (sizeof(struct polybench_data_ptrs));
assert(_polybench_alloc_table != NULL);
_polybench_alloc_table->user_view =
(void**) malloc (sizeof(void*) * NB_INITIAL_TABLE_ENTRIES);
assert(_polybench_alloc_table->user_view != NULL);
_polybench_alloc_table->real_ptr =
(void**) malloc (sizeof(void*) * NB_INITIAL_TABLE_ENTRIES);
assert(_polybench_alloc_table->real_ptr != NULL);
_polybench_alloc_table->nb_entries = 0;
_polybench_alloc_table->nb_avail_entries = NB_INITIAL_TABLE_ENTRIES;
}
}
#endif // !POLYBENCH_ENABLE_INTARRAY_PAD
static
void*
xmalloc(size_t alloc_sz)
{
void* ret = NULL;
/* By default, post-pad the arrays. Safe behavior, but likely useless. */
polybench_inter_array_padding_sz += POLYBENCH_INTER_ARRAY_PADDING_FACTOR;
size_t padded_sz = alloc_sz + polybench_inter_array_padding_sz;
//printf("going to posiz_memalign------------------------------>\n\n\n\n");
int err = posix_memalign (&ret, 4096, padded_sz);
if (! ret || err)
{
fprintf (stderr, "[PolyBench] posix_memalign: cannot allocate memory");
exit (1);
}
//printf("after posiz_memalign------------------------------>\n\n\n\n");
/* Safeguard: this is invoked only if polybench.c has been compiled
with inter-array padding support from polybench.h. If so, move
the starting address of the allocation and return it to the
user. The original pointer is registered in an allocation table
internal to polybench.c. Data must then be freed using
polybench_free_data, which will inspect the allocation table to
free the original pointer.*/
#ifdef POLYBENCH_ENABLE_INTARRAY_PAD
/* This moves the 'ret' pointer by (padded_sz - alloc_sz) positions, and
registers it in the lookup table for future free using
polybench_free_data. */
ret = register_padded_pointer(ret, alloc_sz, padded_sz);
#endif
return ret;
}
void polybench_free_data(void* ptr)
{
#ifdef POLYBENCH_ENABLE_INTARRAY_PAD
free_data_from_alloc_table (ptr);
#else
free (ptr);
#endif
}
void* polybench_alloc_data(unsigned long long int n, int elt_size)
{
#ifdef POLYBENCH_ENABLE_INTARRAY_PAD
check_alloc_table_state ();
#endif
/// FIXME: detect overflow!
size_t val = n;
val *= elt_size;
void* ret = xmalloc (val);
printf ("polybench_alloc_data address : %x %p end address: %p \n", ret,ret, ret+val);
return ret;
}
|
pio.c | /*
* pio.c: parallel input/output and CPU msp compute
*
* Created on: 2015-3-5
* Author: qiushuang
*/
#include <omp.h>
#include <mpi.h>
#include <math.h>
#include "../include/io.h"
#include "../include/dbgraph.h"
#include "../include/msp.h"
#include "../include/hash.h"
#include "../include/bitkmer.h"
#include "../include/share.h"
#define USING_MPI_IO
#define THREADS_MSP_OUTPUT THREADS_MSP_COMPUTE // parallel output threads should be the same number of parallel compute
#define THREADS_MSP_META THREADS_MSP_COMPUTE // parallel output threads should be the same number of parallel compute
#define THREADS_WRITE_GRAPH 128
#define MAX_IO_THREADS 1
#define MSSG_ROUNDUP 0.1 // should be set higher when each processor only contains a small number of partitions
#define READ_RATIO_ROUNDUP 0.002
extern long cpu_threads;
int read_length; // set the inital value in: init_input!!!
static ull rid = 1; //read id with initialization to be 1, global to uniformly identify all reads;
static uint unit_size; // unit size of one encoded read (without read id), set the inital value in: init_input!!!
extern int cutoff;
extern int mpi_run;
/* for debug: */
int last_flag;
int filter_number = 0;
//static evaltime_t lds, lde;
//extern float ldtime;
float readfile_time = 0;
double read_ratio;
double mssg_factor = 0;
ull * max_msp_malloc;
extern int * dflag;
extern int * queue;
ull * read_size;
size_t total_file_size_worker = 0; // total read size of a worker on an input file
size_t file_size_offset = 0; // current file size that has been read of a worker
MPI_File input_file;
FILE * input;
FILE * output;
FILE ** mspout;
length_range_t h_range;
/******** input & output ********/
static seq_t * write_buffer; // buffer to write data to output file
static ull write_offset;
static ull write_size; // data size allocated for the write buffer
/******** msp output & input *******/
static msp_meta_t * msp_meta[THREADS_MSP_META]; // msp output meta data
//uint max_num_kmers = 0; //get the statistics when doing minimum substring partitioning
//uint max_num_spks = 0;
//uint max_spksize = 0;
//uint max_num_kmers = 75609096; //hg7-512 data; used for initializing and testing, updated at the end of msp
//uint max_num_spks = 7029665;
//uint max_spksize = 68416697;
//uint max_num_kmers=824616557; //bbb-512
//uint max_num_spks=60774697;
//uint max_spksize=647034176;
uint max_num_spks = 66774;
uint max_spksize = 989232;
uint max_num_kmers = 744293;
ull total_num_edges = 0;
ull distinct_edges = 0;
ull total_num_vs = 0;
int biggest_partition = 0;
static uint spksize[NUM_OF_PARTITIONS];
static uint numspks[NUM_OF_PARTITIONS];
static uint numkmers[NUM_OF_PARTITIONS];
/* definitions of sequence information */
int table[256]; // lookup table for encoding data
int check[256]; // check table for filtering illegal data
static char rev_table[4] = {'A', 'C', 'G', 'T'};
#define INDEX(a, b) ((a) > (b) ? 1 : 0)
#define sum(result, arr, n) { \
int i; \
for (i = 0; i < n; i++) \
result += arr[i]; }
#define prefix(result, arr, n) { \
int i; \
for (i = 0; i < n; i++) \
result += arr[i]; }
void
init_lookup_table (void)
{
int i;
for (i = 0; i < 256; i++)
{
table[i] = check[i] = -1;
}
table['A'] = table['a'] = 0;
table['C'] = table['c'] = 1;
table['G'] = table['g'] = 2;
table['T'] = table['t'] = 3;
table['N'] = table['n'] = 0;
check['A'] = check['a'] = 0;
check['C'] = check['c'] = 1;
check['G'] = check['g'] = 2;
check['T'] = check['t'] = 3;
}
void get_rev (char * read, char * rev, int len)
{
int i;
for (i = 0; i < len; i++)
{
rev[i] = rev_table[read[len - i - 1] - 'A'];
}
}
/* This function read one line to the str and return the length ('\n' included if it existed in the line),
* or return 0 if the data is illegal
*/
int
get_one_read (char ** pstr, offset_t * read_offset, size_t end)
{
int num_of_char = 0;
int count = 0; // count number of illegal characters
/* get one read -- be careful of illegal memory access if last line of data is abnormal */
// *pstr += *read_offset;
if (**pstr == '\n')
{
(*read_offset)++;
(*pstr)++;
return 0;
}
while (*(*pstr + num_of_char) != '\n')
{
if(check[*(*pstr + num_of_char)] == -1)
{
++count;
// *(*pstr + num_of_char) = 'A';
}
++num_of_char;
}
if (count > CUTOFF_N || num_of_char != read_length)
{
*read_offset += num_of_char + 1;
*pstr += num_of_char + 1;
return 0;
}/* illegal read: skip this line */
return (num_of_char + 1);
}
int get_one_read_2lines (char ** pstr, offset_t * read_offset, size_t end)
{
/* get one read -- be careful of illegal memory access if last line of data is abnormal */
if (**pstr == '+' || **pstr == '-') //must be fastq file: skip two lines
{
while (**pstr != '\n' && (*read_offset) < end)
{
(*read_offset)++;
(*pstr)++;
}
(*read_offset)++;
(*pstr)++;
while (**pstr != '\n' && (*read_offset) < end)
{
(*read_offset)++;
(*pstr)++;
}
(*read_offset)++;
(*pstr)++;
return 0;
}
if (**pstr == '>' || **pstr == '@') //skip one line and get one read
{
while (**pstr != '\n' && (*read_offset) < end)
{
(*read_offset)++;
(*pstr)++;
}
(*read_offset)++;
(*pstr)++;
}
int num_of_char = 0;
int count = 0; // count number of illegal characters
while (*(*pstr + num_of_char) != '\n' && (*read_offset + num_of_char) < end)
{
if(check[*(*pstr + num_of_char)] == -1)
{
++count;
// *(*pstr + num_of_char) = 'A';
}
++num_of_char;
}
if (count > CUTOFF_N || num_of_char != read_length)
{
*read_offset += num_of_char + 1;
*pstr += num_of_char + 1;
return 0;
}/* illegal read: skip this line */
return (num_of_char + 1);
}
void
skip_one_line (char ** pstr, offset_t * read_offset)
{
if (*(*pstr - 1) == '\n')
return;
while (*(*pstr)++ != '\n')
{
(*read_offset)++;
}
return;
}
double my_round(double number, unsigned int bits) {
long long integerPart = number;
number -= integerPart;
unsigned int i;
for (i = 0; i < bits; ++i)
number *= 10;
number = (long long) (number + 0.5);
for (i = 0; i < bits; ++i)
number /= 10;
return integerPart + number;
}
// return number of reads / read size
double
estimate_num_reads_from_input (char * filename, int read_length)
{
FILE * input;
if ((input = fopen(filename, "r")) == NULL)
{
printf ("Error: cannot open input file!\n");
exit (0);
}
int count = 0;
char buf[2048];
char * ptr;
offset_t roff;
int i;
int total_len = 0;
for (i=0; i<128; i++)
{
int len;
if ((len = strlen(fgets(buf, 2048, input))) == 2048)
{
printf ("Error in input file! please check it!\n");
exit (0);
}
total_len += len;
int read_len;
roff = 0;
ptr = buf;
if ((read_len = get_one_read (&ptr, &roff, 2048*1024)) != 0)
// if ((read_len = get_one_read_2lines (&ptr, &roff, 2048*1024)) != 0)
count++;
}
printf ("read ratio before return: %f\n", (float)count/total_len);
read_ratio = (double)count/total_len;
read_ratio = my_round (read_ratio, 3) + (READ_RATIO_ROUNDUP);
return read_ratio;
}
int
finalize_input (void)
{
fclose (input);
return 0;
}
int
finalize_mpi_input (void)
{
return MPI_File_close (&input_file);
}
int
finalize_msp_input (FILE ** mspinput, int world_size)
{
int i;
for (i=0; i<world_size; i++)
fclose (mspinput[i]);
return 0;
}
int
init_code (seq_t * hcode_buffer)
{
return 0;
}
void
reset_code_buffer (seq_t * code_buffer)
{
memset (code_buffer, 0, sizeof(seq_t) * CODE_BUF_SIZE);
}
int
finalize_code (void)
{
return 0;
}
int
init_output (char * filename)
{
if ((output = fopen (filename, "w")) == NULL)
{
printf ("Cannot open output file %s\n", filename);
exit (0);
}
write_buffer = (seq_t *) malloc (sizeof(seq_t) * BUF_SIZE);
CHECK_PTR_RETURN (write_buffer, "init write buffer malloc\n");
write_offset = 0;
write_size = BUF_SIZE;
return 0;
}
int
finalize_output (void)
{
fclose (output);
free (write_buffer);
write_offset = 0;
write_size = 0;
return 0;
}
int
init_msp_output (char * file_dir, int num_of_partitions, int world_rank)
{
int i;
mspout = (FILE **) malloc (sizeof(FILE *) * num_of_partitions);
CHECK_PTR_RETURN (mspout, "init msp output file pointers\n");
char temp[FILENAME_LENGTH];
memset (temp, 0, FILENAME_LENGTH * sizeof(char));
for (i = 0; i < num_of_partitions; i++)
{
sprintf (temp, "%s/msp%d_%d", file_dir, i, world_rank);
if ((mspout[i] = fopen (temp, "w")) == NULL)
{
printf ("Can't open mspout file %d\n", i);
exit (0);
}
}
return 0;
}
void
reset_msp_buffer (seq_t * msp_buf, offset_t * offset_ptr, uint mspid, uint part_buf_size)
{
memset (msp_buf + (ull) mspid * part_buf_size, 0, sizeof(seq_t) * part_buf_size);
offset_ptr[mspid] = 0;
}
int
finalize_msp_output (int num_of_partitions)
{
int i;
for (i = 0; i < num_of_partitions; i++)
{
fclose (mspout[i]);
}
free (mspout);
return 0;
}
void
set_length_range (int k, int read_length)
{
// length_range_t range;
int ave = read_length / AVE_NUM_SPK;
h_range.l1 = 0;
h_range.l4 = ave;
h_range.l2 = ave / 3;
h_range.l3 = ave / 3 * 2;
h_range.l5 = h_range.l4 + (read_length - k - h_range.l4) / 2;
// return range;
}
/* return the number of runs to process the whole input file */
int
init_input (char * filename, int rlen, int world_size, int world_rank)
{
if ((input = fopen(filename, "r")) == NULL)
{
printf ("Error: cannot open input file!\n");
exit (0);
}
fseek (input, 0, SEEK_END);
size_t file_size = ftell (input);
size_t filesize_per_worker = (file_size + world_size - 1)/world_size;
if (filesize_per_worker <= world_size)
filesize_per_worker = file_size/world_size;
size_t file_start = filesize_per_worker * world_rank;
size_t file_end = file_start + filesize_per_worker;
if(file_start > file_size)
{
file_start = file_size;
}
if(file_end > file_size)
{
file_end = file_size;
}
total_file_size_worker = file_end - file_start;
int nstreams = (total_file_size_worker + BUF_SIZE - 1) / BUF_SIZE; //maximum number of streams
fseek (input, file_start, SEEK_SET);
read_length = rlen;
unit_size = (read_length + 3) / 4;
printf ("WORLD_RANK %d: number of streams : %d, unit_size of an encoded read: %d\n", world_rank, nstreams, unit_size);
return nstreams;
}
size_t
read_file (char * read_buf, int world_rank)
{
if (file_size_offset == 0 && world_rank != 0) // skip a line if necessary
{
fseek (input, -1, SEEK_CUR);
fread (read_buf, 1, LINE, input);
int offset=0;
while (read_buf[offset++] != '\n') // skip a line
{
if (offset >= LINE)
{
printf ("error in reading an extra line!\n");
exit (-1);
}
}
fseek (input, offset-LINE, SEEK_CUR);
file_size_offset += offset;
}
// begin reading a bulk of file
size_t read_size = fread ((char *)read_buf, 1, BUF_SIZE, input);
if (total_file_size_worker <= file_size_offset + read_size) // end of reading file
{
int offset = 0;
char *ptr = read_buf + (total_file_size_worker - file_size_offset);
while (ptr[offset] != '\n' && offset < file_size_offset + read_size - total_file_size_worker)
{
offset++;
}
total_file_size_worker += offset; // point to the end
read_size = total_file_size_worker - file_size_offset;
}
else
{
char * ptr = read_buf + read_size;
int offset = 0;
while (*(--ptr) != '\n')
{
offset++;
if (offset >= LINE)
{
printf ("error in backing an extra line!\n");
exit (-1);
}
}
fseek (input, ptr + 1 - (read_buf + read_size), SEEK_CUR);
read_size = ptr + 1 - read_buf;
}
file_size_offset += read_size;
return read_size;
}
int init_mpi_input (char * file_name, int rlen, int world_size, int world_rank)
{
MPI_Offset file_size, file_size_per_worker, file_start, file_end;
if(MPI_File_open (MPI_COMM_WORLD, file_name, MPI_MODE_RDONLY, MPI_INFO_NULL, &input_file) != 0)
{
debug("Worker %d: can not open file %s for read!\n", world_rank, file_name);
MPI_Abort (MPI_COMM_WORLD, -1);
}
MPI_File_get_size (input_file, &file_size);
printf ("world rank %d: file size got: %lu\n", world_rank, file_size);
file_size_per_worker = (file_size + world_size - 1) / world_size;
file_start = world_rank * file_size_per_worker;
file_end = file_start + file_size_per_worker;
if(file_start > file_size)
{
file_start = file_size;
}
if(file_end > file_size)
{
file_end = file_size;
}
total_file_size_worker = file_end - file_start;
int nstreams = (total_file_size_worker + BUF_SIZE - 1) / BUF_SIZE; //maximum number of streams
// fseek (input, file_start, SEEK_SET);
MPI_File_seek (input_file, file_start, MPI_SEEK_SET);
read_length = rlen;
unit_size = (read_length + 3) / 4;
printf ("WORLD_RANK %d: number of streams : %d, unit_size of an encoded read: %d, total_file_size_worker=%lu, "
"file_start=%lu, file_end=%lu\n", world_rank, nstreams, unit_size, total_file_size_worker, file_start, file_end);
return nstreams;
}
size_t mpi_read_file (char * read_buf, int world_size, int world_rank)
{
if (file_size_offset == 0 && world_rank != 0) // skip a line if necessary
{
MPI_File_seek (input_file, -1, MPI_SEEK_CUR);
MPI_File_read (input_file, read_buf, LINE, MPI_CHAR, MPI_STATUS_IGNORE);
// fseek (input, -1, SEEK_CUR);
// fread (read_buf, 1, LINE, input);
int offset=0;
while (read_buf[offset++] != '\n') // skip a line
{
if (offset >= LINE)
{
printf ("error in reading an extra line!\n");
MPI_Abort (MPI_COMM_WORLD, -1);
}
}
MPI_File_seek (input_file, offset-LINE, MPI_SEEK_CUR);
// fseek (input, offset-LINE, SEEK_CUR);
file_size_offset += offset;
printf ("WORLD RANK %d: offset skipped: %lu\n", world_rank, offset);
}
// begin reading a bulk of file
size_t read_size;
if (total_file_size_worker <= file_size_offset + BUF_SIZE) // end of reading file
{
read_size = total_file_size_worker - file_size_offset;
if (world_rank != world_size - 1)
{
MPI_File_read (input_file, read_buf, read_size + LINE, MPI_CHAR, MPI_STATUS_IGNORE);
int offset = 0;
char *ptr = read_buf + read_size;
while (ptr[offset++] != '\n')
{
if (offset >= LINE)
{
printf ("error in reading an extra line!\n");
MPI_Abort (MPI_COMM_WORLD, -1);
}
}
total_file_size_worker += offset; // point to the end
read_size = total_file_size_worker - file_size_offset;
printf ("world rank %d: read_size = %d\n", world_rank, read_size);
// MPI_File_seek (input_file, (offset-LINE), MPI_SEEK_CUR);
}
else
{
printf ("world rank %d: read_size = %d\n", world_rank, read_size);
MPI_File_read (input_file, read_buf, read_size, MPI_CHAR, MPI_STATUS_IGNORE);
}
}
else
{
MPI_File_read (input_file, read_buf, BUF_SIZE, MPI_CHAR, MPI_STATUS_IGNORE);
char * ptr = read_buf + BUF_SIZE;
while (*(--ptr) != '\n')
{}
MPI_File_seek (input_file, -(read_buf + BUF_SIZE - ptr - 1), MPI_SEEK_CUR);
// fseek (input, ptr + 1 - (read_buf + read_size), SEEK_CUR);
read_size = ptr + 1 - read_buf;
}
file_size_offset += read_size;
return read_size;
}
/* Encode one read with 2 bit per character, length for one read: (read_length + 3) / 4 */
uch
bitcode (seq_t * code_buf, seq_t * line_buf, uch len)
{
uch i;
for (i = 0; i < len; i++)
{
code_buf[i / 4] |= table[line_buf[i]] << ((3 - (i % 4)) * 2);
}
return ( (len + 3) / 4 );
}
/* test this: */
uch
bitcode_reverse (seq_t * code_buf, seq_t * line_buf, uch len)
{
uch i;
for (i = 0; i < len; i++)
{
code_buf[i / 4] |= (3 - table[line_buf[len - 1 - i]]) << ((3 - (i % 4)) * 2);
}
return ( (len + 3) / 4 );
}
static int encode_kmer (unit_kmer_t * kmer, seq_t * read, int k)
{
if (k*2 > (KMER_UNIT_LENGTH * KMER_UNIT_BITS))
{
printf ("kmer length exceeds the limit!\n");
exit(0);
}
int unit_length = k*2/KMER_UNIT_BITS;
int i = 0;
int j = 0;
for (; i<unit_length; i++)
{
*kmer = 0;
int j;
for (j=0; j<(KMER_UNIT_BITS)/2; j++)
{
*kmer |= table[read[i*(KMER_UNIT_BITS)/2 + j]] << (KMER_UNIT_BITS - 2 - j*2);
}
kmer++;
}
if ((k*2)%KMER_UNIT_BITS)
*kmer = 0;
for (j=0; j<((k*2)%KMER_UNIT_BITS)/2; j++)
{
*kmer |= table[read[i*(KMER_UNIT_BITS)/2 + j]] << (KMER_UNIT_BITS - 2 - j*2);
}
return unit_length;
}
/* decode encoded sequences (either reads or superkmers) */
uch
decode (seq_t * dec_buf, seq_t * read_ptr, uch len)
{
int i;
for (i = 0; i < len; i++)
{
dec_buf[i] = rev_table[(read_ptr[i / 4] >> ((3 - i % 4) * 2)) & 0x3];
}
dec_buf[i] = '\n';
return ((len + 3) / 4); // return number of bytes of encoded string
}
char * get_min (char * read, char * rev, int k, int p)
{
int i = 0;
char * pstr;
char * rpstr;
char * minpstr;
char * rminpstr;
pstr = minpstr = read;
rpstr = rminpstr = rev;
for (i = 1; i < k - p + 1; i++)
{
pstr++;
rpstr++;
if (strncmp (pstr, minpstr, p) < 0)
{
minpstr = pstr;
}
if (strncmp (rpstr, rminpstr, p) < 0)
{
rminpstr = rpstr;
}
}
if (strncmp (minpstr, rminpstr, p) <= 0)
{
return minpstr;
}
else
return rminpstr;
}
uint compute_msp (int t, int p, int k, int num_of_partitions, char * read_buffer[], ull read_size, uch * d_msp_ptr, char ** rbufs[], uint * rnums[])
{
omp_set_num_threads (cpu_threads);
#pragma omp parallel
{
//****** test number of threads *******
int nths = omp_get_num_threads ();
int thid = omp_get_thread_num ();
if (nths != cpu_threads)
{
printf ("ERROR!!!!!! NUMBER OF THREADS: %d\n", nths);
exit(1);
}
int turn = t;
ull msp_malloc = max_msp_malloc[turn];
ull max_num_ms = read_length - k + 1;
// float time = 0;
ull time = 0;
evaltime_t start, end;
// printf ("id: %d, num of threads: %d\n", thid, nths);
//******* Be careful: read_size may not be divided by cpu_threads! **********
size_t read_size_per_thread = (read_size + cpu_threads - 1) / cpu_threads;
if (read_size_per_thread <= cpu_threads)
read_size_per_thread = read_size / cpu_threads;
char * read_ptr = read_buffer[turn] + thid * read_size_per_thread;
if (thid == cpu_threads - 1)
{
read_size_per_thread = read_size - read_size_per_thread * thid;
if (read_size - read_size_per_thread * thid < 0)
printf ("ATTENTION!!! calculate read size per thread error!!!\n");
}
uint rnum = 0;
int len;
offset_t roffset = 0;
// offset_t coffset = 0;
if (thid > 0)
skip_one_line (&read_ptr, &roffset);
//* if the thread reads starting at the middle of a line, then this line will be processed by its predecessor, thus it skip this line *
rbufs[turn][thid] = read_ptr; // Store the start position of each read buffer area for each thread
//******* initiate msp variables *********
char * read;
char revs[read_length];
char * minpos;
char * search;
msp_t d_msp;
uint num_of_reads = read_size * read_ratio;
uint num_reads_per_thread = (num_of_reads + cpu_threads - 1) / cpu_threads;
if (num_reads_per_thread <= cpu_threads)
num_reads_per_thread = num_of_reads / cpu_threads;
// ull msp_malloc = max_msp_malloc[turn];
ull usize = max_num_ms * sizeof(msp_id_t) + sizeof(uch) * max_num_ms + 1;
ull align_size = sizeof(msp_id_t) - sizeof(uch) * (max_num_ms + 1) * num_reads_per_thread % sizeof(msp_id_t);
d_msp.nums = d_msp_ptr + (usize * num_reads_per_thread + align_size) * thid;
d_msp.poses = d_msp.nums + sizeof(uch) * num_reads_per_thread;
d_msp.ids = (msp_id_t *)(d_msp.nums + sizeof(uch) * (max_num_ms + 1) * num_reads_per_thread + (sizeof(msp_id_t) - sizeof(uch) * (max_num_ms + 1) * num_reads_per_thread % sizeof(msp_id_t)));
size_t read_size_end;
if (thid == nths - 1)
read_size_end = read_size_per_thread - 1;
else
read_size_end = read_size_per_thread;
while (roffset < read_size_end)
{
if (rnum >= num_reads_per_thread)
{
printf ("maximum number of reads exceeds the initial set up! please reset the input buffer!!"
"rnum = %u, num_reads_per_thread = %u\n", rnum, num_reads_per_thread);
exit(0);
}
if ((len = get_one_read (&read_ptr, &roffset, read_size_end)) == 0)
// if ((len = get_one_read_2lines (&read_ptr, &roffset, read_size_end)) == 0)
continue;
read = read_ptr;
gettimeofday (&start, NULL);
//******* COMPUTING MSP INFO FOR A READ BEGINS *********
get_rev (read, revs, read_length);
int i = 0;
uch num = 0;
minpos = get_min (read + i, revs + (read_length - k - i), k, p);
#ifdef LONG_KMER
kmer_t kmer = {0, 0, 0, 0};
#else
kmer_t kmer = {0, 0};
#endif
encode_kmer ((unit_kmer_t*)&kmer, read+i, k);
// d_msp.ids[rnum * max_num_ms + num] = get_partition_id_from_string (minpos, p, num_of_partitions);
d_msp.ids[rnum * max_num_ms + num] = get_pid_from_kmer(&kmer, k, p, num_of_partitions);
d_msp.poses[rnum * max_num_ms + num] = 0;
msp_id_t old, new;
old = d_msp.ids[rnum * max_num_ms + num];
for (i = 1; i < read_length - k + 1; i++)
{
search = get_min (read + i, revs + (read_length - k - i), k, p);
kmer.x=0; kmer.y=0;
#ifdef LONG_KMER
kmer.z=0; kmer.w=0;
#endif
encode_kmer ((unit_kmer_t*)&kmer, read+i, k);
new = get_pid_from_kmer(&kmer, k, p, num_of_partitions);
// if (strncmp (search, minpos, p) != 0)
if (new != old)
{
num++; // be careful: num may exceeds max_num_ms!
if (num > max_num_ms)
{
printf ("number of %d-minimum-substring exceeds the predefined limit for output!\n", p);
exit(0);
}
// d_msp.ids[rnum * max_num_ms + num] = get_partition_id_from_string (search, p, num_of_partitions);
d_msp.ids[rnum * max_num_ms + num] = new;
d_msp.poses[rnum * max_num_ms + num] = i; // test this
minpos = search;
old = new;
}
}
d_msp.nums[rnum] = num;
#ifdef DEBUG
if (num >= max_num_ms)
{
printf ("Careful: number of superkmers exceeds predefined size!\n");
exit (0);
}
#endif
//****** COMPUTING MSP INFO FOR A READ ENDS *******
gettimeofday (&end, NULL);
time += ((end.tv_sec * 1000000 + end.tv_usec) - (start.tv_sec * 1000000 + start.tv_usec));
roffset += len;
read_ptr += len;
// coffset += unit_size;
rnum++;
}
// reads->offset[thid] = coffset;
rnums[turn][thid] = rnum;
// msp_time[thid] += time;
}
uint num_of_reads = 0;
sum(num_of_reads, rnums[t], cpu_threads);
// printf ("number of reads counted: %d\n", num_of_reads);
return num_of_reads;
}
uint
parse_data (char ** read_buffer, read_buf_t * reads, ull read_size, int turn, char *** rbufs, uint ** rnums)
{
seq_t * code_buffer = reads->buf;
reset_code_buffer (code_buffer); // set element to 0!
omp_set_num_threads (cpu_threads);
#pragma omp parallel
{
//******* test number of threads *********
int nths = omp_get_num_threads ();
int thid = omp_get_thread_num ();
if (nths != cpu_threads)
{
printf ("ERROR!!!!!! NUMBER OF THREADS: %d\n", nths);
exit(1);
}
//******** Be careful: read_size may not be divided by cpu_threads! *********
size_t read_size_per_thread = (read_size + cpu_threads - 1) / cpu_threads;
if (read_size_per_thread <= cpu_threads)
read_size_per_thread = read_size / cpu_threads;
char * read_ptr = read_buffer[turn] + thid * read_size_per_thread;
seq_t * code_ptr = code_buffer + thid * (CODE_BUF_SIZE / cpu_threads);
if (thid == cpu_threads - 1)
{
read_size_per_thread = read_size - read_size_per_thread * (cpu_threads - 1);
if (read_size - read_size_per_thread * thid < 0)
printf ("!!! ATTENTION: read_size per thread for the last thread error!!!\n");
}
uint rnum = 0;
int len;
offset_t roffset = 0;
offset_t coffset = 0;
if (thid > 0)
skip_one_line (&read_ptr, &roffset);
//******* if the thread reads starting at the middle of a line, then this line will be processed by its predecessor, thus it skip this line *****
rbufs[turn][thid] = read_ptr; // Store the start position of each read buffer area for each thread
size_t end;
if (thid == nths - 1)
end = read_size_per_thread - 1;
else
end = read_size_per_thread;
while (roffset < end)
{
if ((len = get_one_read (&read_ptr, &roffset, end)) == 0)
// if ((len = get_one_read_2lines (&read_ptr, &roffset, end)) == 0)
continue;
bitcode (code_ptr + coffset, read_ptr, read_length);
roffset += len;
read_ptr += len;
coffset += unit_size;
rnum++;
}
if (roffset >= read_size_per_thread)
{
// printf ("thid: %d, roffset - read_size_per_thread = %lu\n", thid, roffset - read_size_per_thread);
// exit(0);
}
reads->offset[thid] = coffset;
rnums[turn][thid] = rnum;
}
// reads->buf = code_buffer;
uint num_of_reads = 0;
sum(num_of_reads, rnums[turn], cpu_threads);
// printf ("total number of reads processed in parsing data for GPU: %u\n", num_of_reads);
return num_of_reads;
}
void
init_msp_meta (int num_of_partitions, double read_ratio, int read_length, int k)
{
int i, j;
uint msp_meta_size = ceil(BUF_SIZE * read_ratio * (read_length - k + 1) * 2/ (num_of_partitions * NUM_OF_RANGES * cpu_threads));
printf ("msp meta size: %u\n", msp_meta_size);
for (i = 0; i < cpu_threads; i++)
{
msp_meta[i] = (msp_meta_t *) malloc (sizeof(msp_meta_t) * num_of_partitions * NUM_OF_RANGES);
CHECK_PTR_RETURN (msp_meta[i], "init msp meta array\n");
for (j = 0; j < num_of_partitions * NUM_OF_RANGES; j++)
{
msp_meta[i][j].idarr = (rid_t *) malloc (sizeof(rid_t) * msp_meta_size);
msp_meta[i][j].lenarr = (uch *) malloc (sizeof(uch) * msp_meta_size);
msp_meta[i][j].spkbuf = (seq_t *) malloc (sizeof(seq_t) * msp_meta_size * (unit_size+1));
CHECK_PTR_RETURN (msp_meta[i][j].idarr, "init msp meta id array\n");
CHECK_PTR_RETURN (msp_meta[i][j].lenarr, "init msp meta length array\n");
CHECK_PTR_RETURN (msp_meta[i][j].spkbuf, "init msp meta spkbuf error!\n");
msp_meta[i][j].size = msp_meta_size;
msp_meta[i][j].spksize = msp_meta_size * unit_size;
msp_meta[i][j].offset = 0;
msp_meta[i][j].spkoffset = 0;
msp_meta[i][j].num_kmers = 0;
}
}
memset (spksize, 0, sizeof(uint) * NUM_OF_PARTITIONS);
memset (numspks, 0, sizeof(uint) * NUM_OF_PARTITIONS);
memset (numkmers, 0, sizeof(uint) * NUM_OF_PARTITIONS);
}
//***** set offset of one msp buffer meta information to 0 *******
void
reset_msp_meta (msp_meta_t * meta)
{
meta->offset = 0;
meta->spkoffset = 0;
meta->num_kmers = 0;
memset (meta->spkbuf, 0, sizeof(seq_t) * meta->spksize);
}
//******** expand one particular msp meta buffer by twice ********
void
expand_msp_meta (msp_meta_t * meta)
{
meta->idarr = (rid_t *) realloc (meta->idarr, sizeof(rid_t) * meta->size * 2);
meta->lenarr = (uch *) realloc (meta->lenarr, sizeof(uch) * meta->size * 2);
CHECK_PTR_RETURN (meta->idarr, "expand msp meta id array\n");
CHECK_PTR_RETURN (meta->lenarr, "expand msp length array\n");
meta->size *= 2;
}
void
expand_meta_spks (msp_meta_t * meta)
{
meta->spkbuf = (seq_t *) realloc (meta->spkbuf, sizeof(seq_t) * meta->spksize * 2);
CHECK_PTR_RETURN (meta->spkbuf, "expand msp meta superkmer buffer\n");
meta->spksize *= 2;
}
void
finalize_msp_meta (int k, int num_of_partitions, offset_t * max_kmers, offset_t * max_spks, offset_t * max_spksizes, int world_size, int world_rank)
{
int i, j;
for (i = 0; i < num_of_partitions; i++)
{
if (max_spks[world_rank] < numspks[i])
{
max_spks[world_rank] = numspks[i];
}
if (max_spksizes[world_rank] < spksize[i])
{
max_spksizes[world_rank] = spksize[i];
// max_num_kmers = max_spksize * 4 - k * numspks[i];
}
if (max_kmers[world_rank] < numkmers[i])
{
max_kmers[world_rank] = numkmers[i];
biggest_partition = i;
}
}
for (i = 0; i < cpu_threads; i++)
{
for (j = 0; j < num_of_partitions * NUM_OF_RANGES; j++)
{
free(msp_meta[i][j].idarr);
free(msp_meta[i][j].lenarr);
free(msp_meta[i][j].spkbuf);
}
free(msp_meta[i]);
}
if (mpi_run > 0)
{
printf ("world rank %d: gathering numbers:::::::::::::::::::\n", world_rank);
max_num_spks = max_spks[world_rank];
max_spksize = max_spksizes[world_rank];
max_num_kmers = max_kmers[world_rank];
MPI_Allgather (&max_num_spks, 1, MPI_INT, max_spks, 1, MPI_INT, MPI_COMM_WORLD);
MPI_Allgather (&max_spksize, 1, MPI_INT, max_spksizes, 1, MPI_INT, MPI_COMM_WORLD);
MPI_Allgather (&max_num_kmers, 1, MPI_INT, max_kmers, 1, MPI_INT, MPI_COMM_WORLD);
}
max_num_kmers = 0;
max_num_spks = 0;
max_spksize = 0;
for (i=0; i<world_size; i++)
{
max_num_kmers += max_kmers[i];
max_num_spks += max_spks[i];
max_spksize += max_spksizes[i];
}
printf ("WORLD_RANK %d: ----------------FINALIZE MSP META: max_num_spks %u, max_spksize %u, max_num_kmers %u, biggest partition %d "
"----------\n", world_rank, max_num_spks, max_spksize, max_num_kmers, biggest_partition);
}
void
output_msp_cpu (uch * msp_arr, char ** rbufs[], uint * rnums[], int k, int num_of_partitions, int wrt_id, int world_rank)
{
int turn = queue[wrt_id];
omp_set_num_threads (cpu_threads);
#pragma omp parallel
{
length_range_t range = h_range;
//******** test number of threads *********
int nths = omp_get_num_threads ();
int thid = omp_get_thread_num ();
if (nths != cpu_threads)
{
printf ("ERROR!!!!!!!!!set number of threads failure!!!!!! real number of threads:%d\n", nths);
// exit (1);
}
char * read_ptr = rbufs[turn][thid];
int rlen;
msp_id_t mspid;
uch len;
uch num;
offset_t read_offset = 0; // rescan from the beginning of read buffer
ull i, j;
uint scan = 0;
prefix(scan, rnums[turn], thid);
uint local_rid = rid + scan;
int local_k = k;
uch * spk_nums;
uch * spk_poses;
msp_id_t * spk_ids;
uint num_of_reads;
ull max_num_ms = read_length - k + 1;
msp_meta_t * meta_ptr = msp_meta[thid];
if (dflag[turn] == 0) // turn is from processing result of CPU
{
num_of_reads = read_size[turn] * read_ratio;
uint num_reads_per_thread = (num_of_reads + cpu_threads - 1) / cpu_threads;
if (num_reads_per_thread <= cpu_threads)
num_reads_per_thread = num_of_reads / cpu_threads;
// ull msp_malloc = max_msp_malloc[turn];
ull usize = max_num_ms * sizeof(msp_id_t) + sizeof(uch) * max_num_ms + 1;
ull align_size = sizeof(msp_id_t) - sizeof(uch) * (max_num_ms + 1) * num_reads_per_thread % sizeof(msp_id_t);
spk_nums = msp_arr + (usize * num_reads_per_thread + align_size) * thid;
//******** be careful here, num_reads_per_thread may not be a precise estimation for each thread, in this case, thread access to partitioned buffer may cause error!!!!!!!!!!!!!!
// spk_nums = msp_arr + msp_malloc / cpu_threads * thid;
spk_poses = spk_nums + sizeof(uch) * num_reads_per_thread;
spk_ids = (msp_id_t *)(spk_nums + sizeof(uch) * (max_num_ms + 1) * num_reads_per_thread + (sizeof(msp_id_t) - sizeof(uch) * (max_num_ms + 1) * num_reads_per_thread % sizeof(msp_id_t)));
}
else // turn is from processing result of GPU
{
num_of_reads = 0;
sum(num_of_reads, rnums[turn], cpu_threads);
// printf ("number of reads in output msp from GPU(s): %u\n", num_of_reads);
msp_t mspptr;
mspptr.nums = msp_arr;
mspptr.poses = msp_arr + sizeof(uch) * num_of_reads;
mspptr.ids = (msp_id_t *)(msp_arr + sizeof(uch) * (max_num_ms + 1) * num_of_reads + (sizeof(msp_id_t) - sizeof(uch) * (max_num_ms + 1) * num_of_reads % sizeof(msp_id_t)));
spk_nums = mspptr.nums + scan;
spk_poses = mspptr.poses + scan * max_num_ms;
spk_ids = mspptr.ids + scan * max_num_ms;
}
uint read_num = rnums[turn][thid];
// printf ("number of reads processed in msp_compute of partition %d thread %d: %u\n", turn, thid, read_num);
size_t read_size_per_thread = (read_size[turn] + cpu_threads - 1) / cpu_threads;
if (read_size_per_thread <= cpu_threads)
read_size_per_thread = read_size[turn] / cpu_threads;
if (thid == cpu_threads - 1)
{
read_size_per_thread = read_size[turn] - read_size_per_thread * (cpu_threads - 1);
if (read_size[turn] - read_size_per_thread * thid < 0)
printf ("!!! ATTENTION: read_size per thread for the last thread error!!!\n");
}
size_t read_size_end;
if (thid == nths - 1)
read_size_end = read_size_per_thread - 1;
else
read_size_end = read_size_per_thread;
//********* cut reads into superkmers; process read by read ********
for (i = 0; i < read_num; i++)
{
/* Get one legal read from read buffer */
while ((rlen = get_one_read (&read_ptr, &read_offset, read_size_end)) == 0) {}
// while ((rlen = get_one_read_2lines (&read_ptr, &read_offset, read_size_end)) == 0) {}
num = spk_nums[i]; // number of superkmers
for (j = 0; j < num; j++)
{
mspid = spk_ids[i * max_num_ms + j];
/* for debug only: */
#ifdef DEBUG
if (mspid >= num_of_partitions)
{
print_error ("error in msp array id!\n");
while (1) {};
}
#endif
len = spk_poses[i * max_num_ms + j + 1] - spk_poses[i * max_num_ms + j] + 1;
// kmern[mspid] += len;
mspid = mspid * NUM_OF_RANGES + INDEX(len, (range.l1)) + INDEX(len, (range.l2)) + INDEX(len, (range.l3)) + INDEX(len, (range.l4)) + INDEX(len, (range.l5)) - 1;
meta_ptr[mspid].idarr[meta_ptr[mspid].offset] = local_rid;
if (j == 0)
{
meta_ptr[mspid].spkoffset += bitcode (meta_ptr[mspid].spkbuf + meta_ptr[mspid].spkoffset, read_ptr + spk_poses[i * max_num_ms + j], len + local_k - 1);
meta_ptr[mspid].num_kmers += len;
meta_ptr[mspid].lenarr[meta_ptr[mspid].offset] = len - 1; // set the most significant bit to be 0
}
else
{
meta_ptr[mspid].spkoffset += bitcode (meta_ptr[mspid].spkbuf + meta_ptr[mspid].spkoffset, read_ptr + spk_poses[i * max_num_ms + j] - 1, len + local_k);
meta_ptr[mspid].num_kmers += len;
meta_ptr[mspid].lenarr[meta_ptr[mspid].offset] = len | 0x80; // set the most significant bit to be 1
}
meta_ptr[mspid].offset++;
if (meta_ptr[mspid].offset >= meta_ptr[mspid].size-1)
{
printf ("Expand msp meta happened!\n");
expand_msp_meta (meta_ptr + mspid);
printf ("Expand msp meta spk happened!\n");
expand_meta_spks (meta_ptr + mspid);
}
}
//* end of the read *
mspid = spk_ids[i * max_num_ms + j];
//* for debug only: *
#ifdef DEBUG
if (mspid >= num_of_partitions)
{
print_error ("error in msp array id!\n");
while (1) {};
}
#endif
len = read_length - spk_poses[i * max_num_ms + j] - local_k + 1;
// kmern[mspid] += len;
mspid = mspid * NUM_OF_RANGES + INDEX(len, (range.l1)) + INDEX(len, (range.l2)) + INDEX(len, (range.l3)) + INDEX(len, (range.l4)) + INDEX(len, (range.l5)) - 1;
meta_ptr[mspid].idarr[meta_ptr[mspid].offset] = local_rid;
if (j == 0)
{
meta_ptr[mspid].spkoffset += bitcode (meta_ptr[mspid].spkbuf + meta_ptr[mspid].spkoffset, read_ptr + spk_poses[i * max_num_ms + j], len + local_k - 1);
meta_ptr[mspid].num_kmers += len;
meta_ptr[mspid].lenarr[meta_ptr[mspid].offset] = len; // set the most significant bit to be 0
} /* full read: take care of this case ! */
else
{
meta_ptr[mspid].spkoffset += bitcode_reverse (meta_ptr[mspid].spkbuf + meta_ptr[mspid].spkoffset, read_ptr + spk_poses[i * max_num_ms + j] - 1, len + local_k);
meta_ptr[mspid].num_kmers += len;
meta_ptr[mspid].lenarr[meta_ptr[mspid].offset] = len; // set the most significant bit to be 0
}/* store the reverse instead of forward kmer */
meta_ptr[mspid].offset++;
if (meta_ptr[mspid].offset >= meta_ptr[mspid].size-1)
{
printf ("Expand msp meta happened!\n");
expand_msp_meta (meta_ptr + mspid);
printf ("Expand msp meta spk happened!\n");
expand_meta_spks (meta_ptr + mspid);
}
read_offset += rlen;
read_ptr += rlen;
local_rid++; // global read id identification
}
}
//**** finally write out msp buffers to files ****
FILE * file;
int i, j, t;
omp_set_num_threads (MAX_IO_THREADS);
#pragma omp parallel private(file, i, j, t)
{
int thid = omp_get_thread_num ();
int io_th = num_of_partitions / MAX_IO_THREADS;
int ios;
if (thid == MAX_IO_THREADS - 1)
ios = num_of_partitions - io_th * thid;
else
ios = io_th;
int r;
for (r = 0; r < ios; r++)
{
file = mspout[thid * io_th + r];
// fwrite (&kmercnt[i], 1, sizeof(uint), file);
for (j = 0; j < NUM_OF_RANGES; j++)
{
for (t = 0; t < cpu_threads; t++)
{
if (msp_meta[t][(thid * io_th + r) * NUM_OF_RANGES + j].offset == 0)
continue;
fwrite (&(msp_meta[t][(thid * io_th + r) * NUM_OF_RANGES + j].offset), 1, sizeof(uint), file);
fwrite (&(msp_meta[t][(thid * io_th + r) * NUM_OF_RANGES + j].spkoffset), 1, sizeof(offset_t), file);
fwrite (msp_meta[t][(thid * io_th + r) * NUM_OF_RANGES + j].idarr, sizeof(rid_t), msp_meta[t][(thid * io_th + r) * NUM_OF_RANGES + j].offset, file);
fwrite (msp_meta[t][(thid * io_th + r) * NUM_OF_RANGES + j].lenarr, sizeof(uch), msp_meta[t][(thid * io_th + r) * NUM_OF_RANGES + j].offset, file);
fwrite (msp_meta[t][(thid * io_th + r) * NUM_OF_RANGES + j].spkbuf, sizeof(seq_t), msp_meta[t][(thid * io_th + r) * NUM_OF_RANGES + j].spkoffset, file);
spksize[thid * io_th + r] += msp_meta[t][(thid * io_th + r) * NUM_OF_RANGES + j].spkoffset;
numspks[thid * io_th + r] += msp_meta[t][(thid * io_th + r) * NUM_OF_RANGES + j].offset;
numkmers[thid * io_th + r] += msp_meta[t][(thid * io_th + r) * NUM_OF_RANGES +j].num_kmers;
reset_msp_meta (&msp_meta[t][(thid * io_th + r) * NUM_OF_RANGES + j]);
}
}
}
}
sum(rid, rnums[turn], cpu_threads);
}
uint *
prefix_sum (uch * lenarr, uint * indices, uint size, int k, uint * num_of_kmers)
{
uint i;
indices[0] = 0;
uint len;
for (i = 1; i < size + 1; i++)
{
len = lenarr[i - 1] & 0x7f;
*num_of_kmers += len;
indices[i] = (len + k) + 3;
if (len + k - 1 == read_length)
indices[i] -= 1;
indices[i] /= 4;
indices[i] += indices[i - 1];
if (lenarr[i - 1] & 0x80)
*num_of_kmers -= 1;
}
return indices;
}
uint
get_superkmers (char * filename[], spkmer_t * spkmers, int k, FILE ** mspinput)
{
uint num_of_kmers = 0;
uint num_of_spk;
uint total_num_of_spk = 0;
uint rid_offset = 0;
uint len_offset = 0;
rid_t * ridarr;
uch * lenarr;
// uint * indices;
uint read_size = 0;
offset_t mspsize; // size of superkmer string
ull total_mspsize = 0;
ull offset; // offset of reading input superkmer file
size_t file_size[NUM_OF_RANGES];
int i;
for(i = 0; i < NUM_OF_RANGES; i++)
{
if( (mspinput[i] = fopen (filename[i], "r")) == NULL)
printf ("Cannot open msp file %s\n", filename[i]);
fseek (mspinput[i], 0, SEEK_END);
if ((file_size[i] = ftell (mspinput[i])) == 0)
{
// fclose (mspinput[i]);
continue;
}
fseek (mspinput[i], 0, SEEK_SET);
while (ftell (mspinput[i]) < file_size[i])
{
fread (&num_of_spk, 1, sizeof(uint), mspinput[i]);
fread (&mspsize, 1, sizeof(offset_t), mspinput[i]);
total_num_of_spk += num_of_spk;
total_mspsize += mspsize;
offset = num_of_spk * (sizeof(rid_t) + sizeof(uch)) + mspsize * sizeof(seq_t);
fseek (mspinput[i], offset, SEEK_CUR);
}
}
if (total_num_of_spk == 0)
return 0;
ridarr = (rid_t *) malloc (sizeof(rid_t) * total_num_of_spk);
lenarr = (uch *) malloc (sizeof(uch) * total_num_of_spk);
// indices = (uint *) malloc (sizeof(uint) * total_num_of_spk);
//**** Allocate read buffer memory ****
seq_t * read_buffer = (seq_t *) malloc (sizeof(seq_t) * total_mspsize);
CHECK_PTR_RETURN (ridarr, "init spk rid array malloc with file %s\n", filename[i]);
CHECK_PTR_RETURN (lenarr, "init spk length array malloc with file %s\n", filename[i]);
CHECK_PTR_RETURN (read_buffer, "init read buffer for getting superkmers with file %s\n", filename[i]);
// CHECK_PTR_RETURN (indices, "malloc spk indices array in prefix_sum\n");
for (i = 0; i < NUM_OF_RANGES; i++)
{
fseek (mspinput[i], 0, SEEK_SET);
while (ftell (mspinput[i]) < file_size[i])
{
fread (&num_of_spk, 1, sizeof(uint), mspinput[i]);
fread (&mspsize, 1, sizeof(offset_t), mspinput[i]);
rid_offset += fread (ridarr + rid_offset, sizeof(rid_t), num_of_spk, mspinput[i]);
len_offset += fread (lenarr + len_offset, sizeof(uch), num_of_spk, mspinput[i]);
read_size += fread (read_buffer + read_size, sizeof(seq_t), mspsize, mspinput[i]);
}
}
// prefix_sum (lenarr, indices, total_num_of_spk, k, &num_of_kmers);
spkmers->spks = read_buffer;
spkmers->ridarr = ridarr;
spkmers->lenarr = lenarr;
spkmers->num = total_num_of_spk;
// spkmers->indices = indices;
return total_num_of_spk;
}
msp_stats_t
get_spk_stats (int pid, int world_size, char * msp_dir, FILE ** mspinput)
{
offset_t num_of_spk;
offset_t total_num_of_spk = 0;
msp_stats_t stats = {0, 0};
char filename[FILENAME_LENGTH];
offset_t mspsize; // size of superkmer string
size_t total_mspsize = 0;
size_t offset; // offset of reading input superkmer file
size_t file_size;
int i;
for(i = 0; i < world_size; i++)
{
memset (filename, 0, sizeof(char)*FILENAME_LENGTH);
sprintf (filename, "%s/msp%d_%d", msp_dir, pid, i);
if( (mspinput[i] = fopen (filename, "r")) == NULL)
printf ("Cannot open msp file %s\n", filename);
fseek (mspinput[i], 0, SEEK_END);
if ((file_size = ftell (mspinput[i])) == 0)
{
// fclose (mspinput[i]);
continue;
// return stats;
}
fseek (mspinput[i], 0, SEEK_SET);
while (ftell (mspinput[i]) < file_size)
{
fread (&num_of_spk, 1, sizeof(uint), mspinput[i]);
fread (&mspsize, 1, sizeof(offset_t), mspinput[i]);
total_num_of_spk += num_of_spk;
total_mspsize += mspsize;
offset = num_of_spk * (sizeof(rid_t) + sizeof(uch)) + mspsize * sizeof(seq_t);
fseek (mspinput[i], offset, SEEK_CUR);
}
}
stats.spk_num = total_num_of_spk;
stats.spk_size = total_mspsize;
return stats;
}
uint
load_superkmers (FILE ** mspinput, rid_t * ridarr, uch * lenarr, uint * indices, seq_t * read_buffer, uint total_num_of_spk, int k, int world_size)
{
// gettimeofday (&lds, NULL);
uint num_of_kmers = 0;
uint num_of_spk;
uint rid_offset = 0;
uint len_offset = 0;
uint read_size = 0;
offset_t mspsize; // size of superkmer string
ull total_mspsize = 0;
size_t file_size;
int i;
for (i = 0; i < world_size; i++)
{
fseek (mspinput[i], 0, SEEK_END);
if ((file_size = ftell (mspinput[i])) == 0)
{
// fclose (mspinput[i]);
continue;
// return 0;
}
fseek (mspinput[i], 0, SEEK_SET);
while (ftell (mspinput[i]) < file_size)
{
fread (&num_of_spk, 1, sizeof(uint), mspinput[i]);
fread (&mspsize, 1, sizeof(offset_t), mspinput[i]);
rid_offset += fread (ridarr + rid_offset, sizeof(rid_t), num_of_spk, mspinput[i]);
len_offset += fread (lenarr + len_offset, sizeof(uch), num_of_spk, mspinput[i]);
read_size += fread (read_buffer + read_size, sizeof(seq_t), mspsize, mspinput[i]);
}
}
// gettimeofday (&lde, NULL);
// ldtime += (float)((lde.tv_sec * 1000000 + lde.tv_usec) - (lds.tv_sec * 1000000 + lds.tv_usec)) / 1000;
prefix_sum (lenarr, indices, total_num_of_spk, k, &num_of_kmers);
return num_of_kmers;
}
void
decode_kmer (kmer_t * kmer, seq_t * line_buf, int k)
{
int i;
unit_kmer_t * kmer_ptr = (unit_kmer_t *) kmer;
for (i = 0; i < k; i ++)
{
line_buf[i] = rev_table[(*(kmer_ptr + i / KMER_UNIT_CHAR_LENGTH) >> (KMER_UNIT_BITS - 2 * (i % KMER_UNIT_CHAR_LENGTH + 1))) & 0x3];
}
}
uint
write_graph (dbgraph_t * graph, int k)
{
// printf ("++++++++++++write graph+++++++++++\n");
// uint num = graph->num;
uint countn = 0;
uint size = graph->size;
node_t * nodes = graph->nodes;
seq_t * line_buf = (seq_t *) malloc (sizeof(seq_t) * LINE);
CHECK_PTR_RETURN (line_buf, "init line buffer for decoding kmer in write_graph\n");
memset (line_buf, 0, sizeof(seq_t) * LINE);
// printf ("graph size %u, graph nodes: %p\n", size, graph->nodes);
uint i;
uch j;
int sum;
uint total_edges = 0;
uint total_distinct_edges = 0;
omp_set_num_threads (cpu_threads);
#pragma omp parallel private(i, j, sum) reduction(+:countn) reduction(+:total_edges) reduction(+:total_distinct_edges)
{
int thid = omp_get_thread_num ();
// printf ("write graph id %d\n", thid);
uint local_countn = 0;
uint num_edges = 0;
uint distinct_num_edges = 0;
uint size_per_thread = (size + cpu_threads - 1) / cpu_threads;
if (size_per_thread <= cpu_threads)
size_per_thread = size / cpu_threads;
node_t * local_nodes = nodes + size_per_thread * thid;
if (thid == cpu_threads - 1)
size_per_thread = size - size_per_thread * (thid);
if (size - size_per_thread * thid < 0)
printf ("ATTENTION!!! size_per_thread error!!! %ld\n", size - size_per_thread);
for (i = 0; i < size_per_thread; i++)
{
if (local_nodes[i].occupied == 0) continue;
/* sum = 0;
for (j = 0; j < EDGE_DIC_SIZE; j++)
{
sum += local_nodes[i].edge[j];
}
if (sum < cutoff) continue;*/
if (local_nodes[i].occupied != 2)
{
printf ("error!\n");
exit(0);
}
for (j = 0; j < EDGE_DIC_SIZE; j++)
{
// num_edges += local_nodes[i].edge[j] & 0xff;
num_edges += *((ull*)&(local_nodes[i].edge)) >> (8 * j) & 0xff;
if (*((ull*)&(local_nodes[i].edge)) >> (8 * j) & 0xff)
distinct_num_edges += 1;
}
local_countn++;
/* decode_kmer (&(nodes[i].kmer), line_buf, k);
write_offset += sprintf (write_buffer + write_offset, "%s\t", line_buf);
for (j = 0; j < 4; j++)
{
write_offset += sprintf (write_buffer + write_offset, "%c\t%d\t", rev_table[j], nodes[i].edge[j]);
}
for (; j < EDGE_DIC_SIZE; j++)
{
write_offset += sprintf (write_buffer + write_offset, "%c\t%d\t", rev_table[j - 4], nodes[i].edge[j]);
}
write_offset += sprintf (write_buffer + write_offset, "%u\n", nodes[i].rid);
if (write_offset + LINE * 2 >= write_size)
{
fwrite (write_buffer, sizeof(seq_t), write_offset, output);
write_offset = 0;
}*/
}
countn += local_countn;
total_edges += num_edges;
total_distinct_edges += distinct_num_edges;
}
// fwrite (write_buffer, sizeof(seq_t), write_offset, output);
write_offset = 0;
free (line_buf);
total_num_edges += total_edges;
distinct_edges += total_distinct_edges;
printf ("Number of distinct edges: %lu\n", distinct_edges);
return countn;
}
uint
gather_sorted_dbgraph (dbgraph_t * graph, dbtable_t * tbs, subgraph_t * subgraph, uint num_of_kmers, int pid, int start_pid, int np_node)
{
uint countn = 0;
uint size = graph->size;
node_t * nodes = graph->nodes;
uint i;
uch j;
int sum;
uint total_edges = 0;
uint total_distinct_edges = 0;
voff_t vs_offsets[THREADS_WRITE_GRAPH+1];
memset (vs_offsets, 0, sizeof(voff_t) * (THREADS_WRITE_GRAPH+1));
omp_set_num_threads (cpu_threads);
#pragma omp parallel private(i, j, sum) reduction(+:countn) reduction(+:total_edges) reduction(+:total_distinct_edges)
{
int thid = omp_get_thread_num ();
int nths = omp_get_num_threads ();
if (nths != cpu_threads)
{
printf ("Error in setting threads for gathering dbgraph!\n");
exit(0);
}
// printf ("write graph id %d\n", thid);
uint local_countn = 0;
uint num_edges = 0;
uint distinct_num_edges = 0;
uint size_per_thread = (size + cpu_threads - 1) / cpu_threads;
if (size_per_thread <= cpu_threads)
size_per_thread = size / cpu_threads;
node_t * local_nodes = nodes + size_per_thread * thid;
if (thid == cpu_threads - 1)
size_per_thread = size - size_per_thread * (thid);
if (size - size_per_thread * thid < 0)
printf ("ATTENTION!!! size_per_thread error!!! %ld\n", size - size_per_thread);
voff_t offset = 0;
for (i = 0; i < size_per_thread; i++)
{
if (local_nodes[i].occupied == 0) continue;
if (local_nodes[i].occupied != 2)
{
printf ("error!\n");
exit(0);
}
int cf = 0;
for (j = 0; j < EDGE_DIC_SIZE; j++)
{
cf += *((ull*)&(local_nodes[i].edge)) >> (8 * j) & 0xff;
}
if (cf < cutoff)
{
local_nodes[i].occupied = 0;
continue;
}
for (j = 0; j < EDGE_DIC_SIZE; j++)
{
if (*((ull*)&(local_nodes[i].edge)) >> (8 * j) & 0xff)
distinct_num_edges += 1;
}
num_edges += cf;
offset++;
local_countn++;
}
vs_offsets[thid+1] = offset;
countn += local_countn;
total_edges += num_edges;
total_distinct_edges += distinct_num_edges;
}
tbs[pid].buf = (entry_t*) malloc (sizeof(entry_t) * countn);
tbs[pid].size = countn;
tbs[pid].num_elems = num_of_kmers;
(subgraph->subgraphs)[pid].size = countn;
(subgraph->subgraphs)[pid].id = pid + start_pid;
inclusive_prefix_sum (vs_offsets, cpu_threads+1);
omp_set_num_threads (cpu_threads);
#pragma omp parallel
{
int thid = omp_get_thread_num ();
int nths = omp_get_num_threads ();
if (nths != cpu_threads)
{
printf ("Error in setting threads for gathering dbgraph!\n");
exit(0);
}
uint size_per_thread = (size + cpu_threads - 1) / cpu_threads;
if (size_per_thread <= cpu_threads)
size_per_thread = size / cpu_threads;
node_t * local_nodes = nodes + size_per_thread * thid;
if (thid == cpu_threads - 1)
size_per_thread = size - size_per_thread * (thid);
voff_t gather_start = vs_offsets[thid];
entry_t * vs = tbs[pid].buf + gather_start;
voff_t offset = 0;
int i;
for (i = 0; i < size_per_thread; i++)
{
if (local_nodes[i].occupied == 0) continue;
if (local_nodes[i].occupied != 2)
{
printf ("error!\n");
exit(0);
}
vs[offset].kmer = local_nodes[i].kmer;
vs[offset].edge = local_nodes[i].edge;
vs[offset].occupied = local_nodes[i].occupied;
offset++;
}
}
tbb_entry_sort (tbs[pid].buf, countn);
total_num_edges += total_edges;
distinct_edges += total_distinct_edges;
total_num_vs += countn;
double factor = (double)distinct_edges / total_num_vs;
factor = my_round(factor, 3) + MSSG_ROUNDUP;
if (factor > mssg_factor)
mssg_factor = factor;
if (pid == np_node - 1)
{
printf ("partition %d: number of vertices: %u\n", pid, countn);
printf ("MMMMMMMMMMMMMMMMMMMMMMMMMMMMM MSSG FACTOR REPORT::::::::::::::::\n");
printf ("Number of distinct edges: %lu, mssg_factor = %.4f, mssg_roundup = %.4f\n", distinct_edges, mssg_factor, MSSG_ROUNDUP);
printf ("MMMMMMMMMMMMMMMMMMMMMMMMMMMMM MSSG FACTOR REPORT::::::::::::::::\n");
printf ("TTTTTTTTTTTTTTTTTTTTTT total number of vertices counted in output: %u\n", total_num_vs);
}
return countn;
}
|
nr_ao2mo.c | /*
* Author: Qiming Sun <osirpt.sun@gmail.com>
*
*/
#include <stdlib.h>
#include <string.h>
#include <math.h>
#include <assert.h>
//#define NDEBUG
//#include <omp.h>
#include "config.h"
#include "cint.h"
#include "np_helper/np_helper.h"
#include "vhf/cvhf.h"
#include "vhf/fblas.h"
#include "vhf/nr_direct.h"
#include "nr_ao2mo.h"
#define MIN(X,Y) ((X) < (Y) ? (X) : (Y))
#define MAX(X,Y) ((X) > (Y) ? (X) : (Y))
// 9f or 7g or 5h functions should be enough
#define NCTRMAX 64
#define OUTPUTIJ 1
#define INPUT_IJ 2
/*
* Denoting 2e integrals (ij|kl),
* AO2MOnr_e1_drv transforms ij for ksh_start <= k shell < ksh_end.
* The transformation C_pi C_qj (pq|k*) coefficients are stored in
* mo_coeff, C_pi and C_qj are offset by i_start and i_count, j_start and j_count.
* The output eri is an 2D array, ordered as (kl-AO-pair,ij-MO-pair) in
* C-order. Transposing is needed before calling AO2MOnr_e2_drv.
*
* AO2MOnr_e2_drv transforms kl for nijcount of ij pairs.
* vin is assumed to be an C-array of (ij-MO-pair, kl-AO-pair)
* vout is an C-array of (ij-MO-pair, kl-MO-pair)
*
* ftranse1 and ftranse2
* ---------------------
* AO2MOtranse1_nr_s4, AO2MOtranse1_nr_s2ij, AO2MOtranse1_nr_s2kl AO2MOtranse1_nr_s1
* AO2MOtranse2_nr_s4, AO2MOtranse2_nr_s2ij, AO2MOtranse2_nr_s2kl AO2MOtranse2_nr_s1
* Labels s4, s2, s1 are used to label the AO integral symmetry. The
* symmetry of transformed integrals are controled by function fmmm
*
* fmmm
* ----
* fmmm dim requirements:
* | vout | eri
* ---------------------+-------------------------------+-------------------
* AO2MOmmm_nr_s2_s2 | [:,bra_count*(bra_count+1)/2] | [:,nao*(nao+1)/2]
* | and bra_count==ket_count |
* AO2MOmmm_nr_s2_iltj | [:,bra_count*ket_count] | [:,nao*nao]
* AO2MOmmm_nr_s2_igtj | [:,bra_count*ket_count] | [:,nao*nao]
* AO2MOmmm_nr_s1_iltj | [:,bra_count*ket_count] | [:,nao*nao]
* AO2MOmmm_nr_s1_igtj | [:,bra_count*ket_count] | [:,nao*nao]
*
* AO2MOmmm_nr_s1_iltj, AO2MOmmm_nr_s1_igtj, AO2MOmmm_nr_s2_s2,
* AO2MOmmm_nr_s2_iltj, AO2MOmmm_nr_s2_igtj
* Pick a proper function from the 5 kinds of AO2MO transformation.
* 1. AO integral I_ij != I_ji, use
* AO2MOmmm_nr_s1_iltj or AO2MOmmm_nr_s1_igtj
* 2. AO integral I_ij == I_ji, but the MO coefficients for bra and ket
* are different, use
* AO2MOmmm_nr_s2_iltj or AO2MOmmm_nr_s2_igtj
* 3. AO integral I_ij == I_ji, and the MO coefficients are the same for
* bra and ket, use
* AO2MOmmm_nr_s2_s2
*
* ftrans | allowed fmmm
* ----------------------+---------------------
* AO2MOtranse1_nr_s4 | AO2MOmmm_nr_s2_s2
* AO2MOtranse1_nr_s2ij | AO2MOmmm_nr_s2_iltj
* AO2MOtranse2_nr_s4 | AO2MOmmm_nr_s2_igtj
* AO2MOtranse2_nr_s2kl |
* ----------------------+---------------------
* AO2MOtranse1_nr_s2kl | AO2MOmmm_nr_s2_s2
* AO2MOtranse2_nr_s2ij | AO2MOmmm_nr_s2_igtj
* | AO2MOmmm_nr_s2_iltj
* ----------------------+---------------------
* AO2MOtranse1_nr_s1 | AO2MOmmm_nr_s1_iltj
* AO2MOtranse2_nr_s1 | AO2MOmmm_nr_s1_igtj
*
*/
/* for m > n
* calculate the upper triangle part (of Fortran order matrix)
* _ |------- n -------| _
* diag_off [ . . . . . . . . ] |
* _ [ . . . . . . . . ] m
* [ . . . . . . . ] |
* [ . . . . . . ] _
*/
void AO2MOdtriumm_o1(int m, int n, int k, int diag_off,
double *a, double *b, double *c)
{
const double D0 = 0;
const double D1 = 1;
const char TRANS_N = 'N';
const char TRANS_T = 'T';
const int BLK = 48;
int mstart = m - MAX(0, (m-diag_off)/BLK)*BLK;
int nstart = mstart - diag_off;
int nleft;
dgemm_(&TRANS_T, &TRANS_N, &mstart, &n, &k,
&D1, a, &k, b, &k, &D0, c, &m);
for (; mstart < m; mstart+=BLK, nstart+=BLK) {
nleft = n - nstart;
dgemm_(&TRANS_T, &TRANS_N, &BLK, &nleft, &k,
&D1, a+mstart*k, &k, b+nstart*k, &k,
&D0, c+nstart*m+mstart, &m);
}
}
/* for m < n
* calculate the upper triangle part (of Fortran order matrix)
* _ |------- n -------| _
* diag_off [ . . . . . . . . ] |
* _ [ . . . . . . . . ] m
* [ . . . . . . . ] |
* [ . . . . . . ] _
*/
void AO2MOdtriumm_o2(int m, int n, int k, int diag_off,
double *a, double *b, double *c)
{
const double D0 = 0;
const double D1 = 1;
const char TRANS_N = 'N';
const char TRANS_T = 'T';
const int BLK = 48;
int nstart, nleft;
int mend = diag_off;
for (nstart = 0; nstart < m-diag_off-BLK; nstart+=BLK) {
mend += BLK;
dgemm_(&TRANS_T, &TRANS_N, &mend, &BLK, &k,
&D1, a, &k, b+nstart*k, &k,
&D0, c+nstart*m, &m);
}
nleft = n - nstart;
dgemm_(&TRANS_T, &TRANS_N, &m, &nleft, &k,
&D1, a, &k, b+nstart*k, &k,
&D0, c+nstart*m, &m);
}
/*
* s1-AO integrals to s1-MO integrals, efficient for i_count < j_count
* shape requirements:
* vout[:,bra_count*ket_count], eri[:,nao*nao]
* s1, s2 here to label the AO symmetry
*/
int AO2MOmmm_nr_s1_iltj(double *vout, double *eri, double *buf,
struct _AO2MOEnvs *envs, int seekdim)
{
switch (seekdim) {
case OUTPUTIJ: return envs->bra_count * envs->ket_count;
case INPUT_IJ: return envs->nao * envs->nao;
}
const double D0 = 0;
const double D1 = 1;
const char TRANS_T = 'T';
const char TRANS_N = 'N';
int nao = envs->nao;
int i_start = envs->bra_start;
int i_count = envs->bra_count;
int j_start = envs->ket_start;
int j_count = envs->ket_count;
double *mo_coeff = envs->mo_coeff;
// C_pi (pq| = (iq|, where (pq| is in C-order
dgemm_(&TRANS_N, &TRANS_N, &nao, &i_count, &nao,
&D1, eri, &nao, mo_coeff+i_start*nao, &nao,
&D0, buf, &nao);
dgemm_(&TRANS_T, &TRANS_N, &j_count, &i_count, &nao,
&D1, mo_coeff+j_start*nao, &nao, buf, &nao,
&D0, vout, &j_count);
return 0;
}
/*
* s1-AO integrals to s1-MO integrals, efficient for i_count > j_count
* shape requirements:
* vout[:,bra_count*ket_count], eri[:,nao*nao]
*/
int AO2MOmmm_nr_s1_igtj(double *vout, double *eri, double *buf,
struct _AO2MOEnvs *envs, int seekdim)
{
switch (seekdim) {
case OUTPUTIJ: return envs->bra_count * envs->ket_count;
case INPUT_IJ: return envs->nao * envs->nao;
}
const double D0 = 0;
const double D1 = 1;
const char TRANS_T = 'T';
const char TRANS_N = 'N';
int nao = envs->nao;
int i_start = envs->bra_start;
int i_count = envs->bra_count;
int j_start = envs->ket_start;
int j_count = envs->ket_count;
double *mo_coeff = envs->mo_coeff;
// C_qj (pq| = (pj|, where (pq| is in C-order
dgemm_(&TRANS_T, &TRANS_N, &j_count, &nao, &nao,
&D1, mo_coeff+j_start*nao, &nao, eri, &nao,
&D0, buf, &j_count);
dgemm_(&TRANS_N, &TRANS_N, &j_count, &i_count, &nao,
&D1, buf, &j_count, mo_coeff+i_start*nao, &nao,
&D0, vout, &j_count);
return 0;
}
/*
* s2-AO integrals to s2-MO integrals
* shape requirements:
* vout[:,bra_count*(bra_count+1)/2] and bra_count==ket_count,
* eri[:,nao*(nao+1)/2]
* first s2 is the AO symmetry, second s2 is the MO symmetry
*/
int AO2MOmmm_nr_s2_s2(double *vout, double *eri, double *buf,
struct _AO2MOEnvs *envs, int seekdim)
{
switch (seekdim) {
case OUTPUTIJ: assert(envs->bra_count == envs->ket_count);
return envs->bra_count * (envs->bra_count+1) / 2;
case INPUT_IJ: return envs->nao * (envs->nao+1) / 2;
}
const double D0 = 0;
const double D1 = 1;
const char SIDE_L = 'L';
const char UPLO_U = 'U';
int nao = envs->nao;
int i_start = envs->bra_start;
int i_count = envs->bra_count;
int j_start = envs->ket_start;
int j_count = envs->ket_count;
double *mo_coeff = envs->mo_coeff;
double *buf1 = buf + nao*i_count;
int i, j, ij;
// C_pi (pq| = (iq|, where (pq| is in C-order
dsymm_(&SIDE_L, &UPLO_U, &nao, &i_count,
&D1, eri, &nao, mo_coeff+i_start*nao, &nao,
&D0, buf, &nao);
AO2MOdtriumm_o1(j_count, i_count, nao, 0,
mo_coeff+j_start*nao, buf, buf1);
for (i = 0, ij = 0; i < i_count; i++) {
for (j = 0; j <= i; j++, ij++) {
vout[ij] = buf1[j];
}
buf1 += j_count;
}
return 0;
}
/*
* s2-AO integrals to s1-MO integrals, efficient for i_count < j_count
* shape requirements:
* vout[:,bra_count*ket_count], eri[:,nao*(nao+1)/2]
*/
int AO2MOmmm_nr_s2_iltj(double *vout, double *eri, double *buf,
struct _AO2MOEnvs *envs, int seekdim)
{
switch (seekdim) {
case OUTPUTIJ: return envs->bra_count * envs->ket_count;
case INPUT_IJ: return envs->nao * (envs->nao+1) / 2;
}
const double D0 = 0;
const double D1 = 1;
const char SIDE_L = 'L';
const char UPLO_U = 'U';
const char TRANS_T = 'T';
const char TRANS_N = 'N';
int nao = envs->nao;
int i_start = envs->bra_start;
int i_count = envs->bra_count;
int j_start = envs->ket_start;
int j_count = envs->ket_count;
double *mo_coeff = envs->mo_coeff;
// C_pi (pq| = (iq|, where (pq| is in C-order
dsymm_(&SIDE_L, &UPLO_U, &nao, &i_count,
&D1, eri, &nao, mo_coeff+i_start*nao, &nao,
&D0, buf, &nao);
// C_qj (iq| = (ij|
dgemm_(&TRANS_T, &TRANS_N, &j_count, &i_count, &nao,
&D1, mo_coeff+j_start*nao, &nao, buf, &nao,
&D0, vout, &j_count);
return 0;
}
/*
* s2-AO integrals to s1-MO integrals, efficient for i_count > j_count
* shape requirements:
* vout[:,bra_count*ket_count], eri[:,nao*(nao+1)/2]
*/
int AO2MOmmm_nr_s2_igtj(double *vout, double *eri, double *buf,
struct _AO2MOEnvs *envs, int seekdim)
{
switch (seekdim) {
case OUTPUTIJ: return envs->bra_count * envs->ket_count;
case INPUT_IJ: return envs->nao * (envs->nao+1) / 2;
}
const double D0 = 0;
const double D1 = 1;
const char SIDE_L = 'L';
const char UPLO_U = 'U';
const char TRANS_T = 'T';
const char TRANS_N = 'N';
int nao = envs->nao;
int i_start = envs->bra_start;
int i_count = envs->bra_count;
int j_start = envs->ket_start;
int j_count = envs->ket_count;
double *mo_coeff = envs->mo_coeff;
// C_qj (pq| = (pj|, where (pq| is in C-order
dsymm_(&SIDE_L, &UPLO_U, &nao, &j_count,
&D1, eri, &nao, mo_coeff+j_start*nao, &nao,
&D0, buf, &nao);
// C_pi (pj| = (ij|
dgemm_(&TRANS_T, &TRANS_N, &j_count, &i_count, &nao,
&D1, buf, &nao, mo_coeff+i_start*nao, &nao,
&D0, vout, &j_count);
return 0;
}
/*
* transform bra, s1 to label AO symmetry
*/
int AO2MOmmm_bra_nr_s1(double *vout, double *vin, double *buf,
struct _AO2MOEnvs *envs, int seekdim)
{
switch (seekdim) {
case 1: return envs->bra_count * envs->nao;
case 2: return envs->nao * envs->nao;
}
const double D0 = 0;
const double D1 = 1;
const char TRANS_N = 'N';
int nao = envs->nao;
int i_start = envs->bra_start;
int i_count = envs->bra_count;
double *mo_coeff = envs->mo_coeff;
dgemm_(&TRANS_N, &TRANS_N, &nao, &i_count, &nao,
&D1, vin, &nao, mo_coeff+i_start*nao, &nao,
&D0, vout, &nao);
return 0;
}
/*
* transform ket, s1 to label AO symmetry
*/
int AO2MOmmm_ket_nr_s1(double *vout, double *vin, double *buf,
struct _AO2MOEnvs *envs, int seekdim)
{
switch (seekdim) {
case OUTPUTIJ: return envs->nao * envs->ket_count;
case INPUT_IJ: return envs->nao * envs->nao;
}
const double D0 = 0;
const double D1 = 1;
const char TRANS_T = 'T';
const char TRANS_N = 'N';
int nao = envs->nao;
int j_start = envs->ket_start;
int j_count = envs->ket_count;
double *mo_coeff = envs->mo_coeff;
dgemm_(&TRANS_T, &TRANS_N, &j_count, &nao, &nao,
&D1, mo_coeff+j_start*nao, &nao, vin, &nao,
&D0, vout, &j_count);
return 0;
}
/*
* transform bra, s2 to label AO symmetry
*/
int AO2MOmmm_bra_nr_s2(double *vout, double *vin, double *buf,
struct _AO2MOEnvs *envs, int seekdim)
{
switch (seekdim) {
case OUTPUTIJ: return envs->bra_count * envs->nao;
case INPUT_IJ: return envs->nao * (envs->nao+1) / 2;
}
const double D0 = 0;
const double D1 = 1;
const char SIDE_L = 'L';
const char UPLO_U = 'U';
int nao = envs->nao;
int i_start = envs->bra_start;
int i_count = envs->bra_count;
double *mo_coeff = envs->mo_coeff;
dsymm_(&SIDE_L, &UPLO_U, &nao, &i_count,
&D1, vin, &nao, mo_coeff+i_start*nao, &nao,
&D0, vout, &nao);
return 0;
}
/*
* transform ket, s2 to label AO symmetry
*/
int AO2MOmmm_ket_nr_s2(double *vout, double *vin, double *buf,
struct _AO2MOEnvs *envs, int seekdim)
{
switch (seekdim) {
case OUTPUTIJ: return envs->nao * envs->ket_count;
case INPUT_IJ: return envs->nao * (envs->nao+1) / 2;
}
const double D0 = 0;
const double D1 = 1;
const char SIDE_L = 'L';
const char UPLO_U = 'U';
int nao = envs->nao;
int j_start = envs->ket_start;
int j_count = envs->ket_count;
double *mo_coeff = envs->mo_coeff;
int i, j;
dsymm_(&SIDE_L, &UPLO_U, &nao, &j_count,
&D1, vin, &nao, mo_coeff+j_start*nao, &nao,
&D0, buf, &nao);
for (j = 0; j < nao; j++) {
for (i = 0; i < j_count; i++) {
vout[i] = buf[i*nao+j];
}
vout += j_count;
}
return 0;
}
/*
* s1, s2ij, s2kl, s4 here to label the AO symmetry
* eris[ncomp,nkl,nao_pair_ij]
*/
static void s4_copy(double *eri, double *ints, int di, int dj, int dk, int dl,
int istride, size_t nao2)
{
int i, j, k, l;
double *pints, *peri, *peri1;
switch (di) {
case 1:
for (k = 0; k < dk; k++) {
for (l = 0; l < dl; l++) {
pints = ints + di * dj * (l*dk+k);
for (j = 0; j < dj; j++) {
eri[j] = pints[j];
}
eri += nao2;
} }
break;
case 2:
for (k = 0; k < dk; k++) {
for (l = 0; l < dl; l++) {
pints = ints + di * dj * (l*dk+k);
peri = eri + istride;
for (j = 0; j < dj;j++) {
eri [j] = pints[j*2+0];
peri[j] = pints[j*2+1];
}
eri += nao2;
} }
break;
case 3:
for (k = 0; k < dk; k++) {
for (l = 0; l < dl; l++) {
pints = ints + di * dj * (l*dk+k);
peri = eri + istride;
peri1 = peri + istride + 1;
for (j = 0; j < dj;j++) {
eri [j] = pints[j*3+0];
peri [j] = pints[j*3+1];
peri1[j] = pints[j*3+2];
}
eri += nao2;
} }
break;
default:
for (k = 0; k < dk; k++) {
for (l = 0; l < dl; l++) {
pints = ints + di * dj * (l*dk+k);
peri = eri;
for (i = 0; i < di; i++) {
for (j = 0; j < dj; j++) {
//TODO: call nontemporal write to avoid write-allocate
peri[j] = pints[j*di+i];
}
peri += istride + i;
}
eri += nao2;
} }
}
}
static void s4_set0(double *eri, double *nop,
int di, int dj, int dk, int dl,
int istride, size_t nao2)
{
int i, j, k, l;
double *peri, *peri1;
switch (di) {
case 1:
for (k = 0; k < dk; k++) {
for (l = 0; l < dl; l++) {
for (j = 0; j < dj; j++) {
eri[j] = 0;
}
eri += nao2;
} }
break;
case 2:
for (k = 0; k < dk; k++) {
for (l = 0; l < dl; l++) {
peri = eri + istride;
for (j = 0; j < dj; j++) {
eri [j] = 0;
peri[j] = 0;
}
eri += nao2;
} }
break;
case 3:
for (k = 0; k < dk; k++) {
for (l = 0; l < dl; l++) {
peri = eri + istride;
peri1 = peri + istride + 1;
for (j = 0; j < dj; j++) {
eri [j] = 0;
peri [j] = 0;
peri1[j] = 0;
}
eri += nao2;
} }
break;
default:
for (k = 0; k < dk; k++) {
for (l = 0; l < dl; l++) {
peri = eri;
for (i = 0; i < di; i++) {
for (j = 0; j < dj; j++) {
//TODO: call nontemporal write to avoid write-allocate
peri[j] = 0;
}
peri += istride + i;
}
eri += nao2;
} }
}
}
static void s4_copy_keql(double *eri, double *ints,
int di, int dj, int dk, int dl,
int istride, size_t nao2)
{
int i, j, k, l;
double *pints, *peri;
for (k = 0; k < dk; k++) {
for (l = 0; l <= k; l++) {
pints = ints + di * dj * (l*dk+k);
peri = eri;
for (i = 0; i < di; i++) {
for (j = 0; j < dj; j++) {
peri[j] = pints[j*di+i];
}
peri += istride + i;
}
eri += nao2;
} }
}
static void s4_set0_keql(double *eri, double *nop,
int di, int dj, int dk, int dl,
int istride, size_t nao2)
{
int i, j, k, l;
double *peri;
for (k = 0; k < dk; k++) {
for (l = 0; l <= k; l++) {
peri = eri;
for (i = 0; i < di; i++) {
for (j = 0; j < dj; j++) {
peri[j] = 0;
}
peri += istride + i;
}
eri += nao2;
} }
}
static void s4_copy_ieqj(double *eri, double *ints,
int di, int dj, int dk, int dl,
int istride, size_t nao2)
{
int i, j, k, l;
double *pints, *peri;
for (k = 0; k < dk; k++) {
for (l = 0; l < dl; l++) {
pints = ints + di * dj * (l*dk+k);
peri = eri;
for (i = 0; i < di; i++) {
for (j = 0; j <= i; j++) {
peri[j] = pints[j*di+i];
}
peri += istride + i;
}
eri += nao2;
} }
}
static void s4_set0_ieqj(double *eri, double *nop,
int di, int dj, int dk, int dl,
int istride, size_t nao2)
{
int i, j, k, l;
double *peri;
for (k = 0; k < dk; k++) {
for (l = 0; l < dl; l++) {
peri = eri;
for (i = 0; i < di; i++) {
for (j = 0; j <= i; j++) {
peri[j] = 0;
}
peri += istride + i;
}
eri += nao2;
} }
}
static void s4_copy_keql_ieqj(double *eri, double *ints,
int di, int dj, int dk, int dl,
int istride, size_t nao2)
{
int i, j, k, l;
double *pints, *peri;
for (k = 0; k < dk; k++) {
for (l = 0; l <= k; l++) {
pints = ints + di * dj * (l*dk+k);
peri = eri;
for (i = 0; i < di; i++) {
for (j = 0; j <= i; j++) {
peri[j] = pints[j*di+i];
}
peri += istride + i;
}
eri += nao2;
} }
}
static void s4_set0_keql_ieqj(double *eri, double *nop,
int di, int dj, int dk, int dl,
int istride, size_t nao2)
{
int i, j, k, l;
double *peri;
for (k = 0; k < dk; k++) {
for (l = 0; l <= k; l++) {
peri = eri;
for (i = 0; i < di; i++) {
for (j = 0; j <= i; j++) {
peri[j] = 0;
}
peri += istride + i;
}
eri += nao2;
} }
}
static void s2kl_copy_keql(double *eri, double *ints,
int di, int dj, int dk, int dl,
int istride, size_t nao2)
{
int i, j, k, l;
double *pints;
for (k = 0; k < dk; k++) {
for (l = 0; l <= k; l++) {
pints = ints + di * dj * (l*dk+k);
for (i = 0; i < di; i++) {
for (j = 0; j < dj; j++) {
eri[i*istride+j] = pints[j*di+i];
}
}
eri += nao2;
} }
}
static void s2kl_set0_keql(double *eri, double *nop,
int di, int dj, int dk, int dl,
int istride, size_t nao2)
{
int i, j, k, l;
for (k = 0; k < dk; k++) {
for (l = 0; l <= k; l++) {
for (i = 0; i < di; i++) {
for (j = 0; j < dj; j++) {
eri[i*istride+j] = 0;
}
}
eri += nao2;
} }
}
static void s1_copy(double *eri, double *ints,
int di, int dj, int dk, int dl,
int istride, size_t nao2)
{
int i, j, k, l;
double *pints;
for (k = 0; k < dk; k++) {
for (l = 0; l < dl; l++) {
pints = ints + di * dj * (l*dk+k);
for (i = 0; i < di; i++) {
for (j = 0; j < dj; j++) {
eri[i*istride+j] = pints[j*di+i];
}
}
eri += nao2;
} }
}
static void s1_set0(double *eri, double *nop,
int di, int dj, int dk, int dl,
int istride, size_t nao2)
{
int i, j, k, l;
for (k = 0; k < dk; k++) {
for (l = 0; l < dl; l++) {
for (i = 0; i < di; i++) {
for (j = 0; j < dj; j++) {
eri[i*istride+j] = 0;
}
}
eri += nao2;
} }
}
#define DISTR_INTS_BY(fcopy, fset0, istride) \
if ((*fprescreen)(shls, envs->vhfopt, envs->atm, envs->bas, envs->env) && \
(*intor)(buf, shls, envs->atm, envs->natm, \
envs->bas, envs->nbas, envs->env, envs->cintopt)) { \
pbuf = buf; \
for (icomp = 0; icomp < envs->ncomp; icomp++) { \
peri = eri + nao2 * nkl * icomp + ioff + ao_loc[jsh]; \
fcopy(peri, pbuf, di, dj, dk, dl, istride, nao2); \
pbuf += di * dj * dk * dl; \
} \
} else { \
for (icomp = 0; icomp < envs->ncomp; icomp++) { \
peri = eri + nao2 * nkl * icomp + ioff + ao_loc[jsh]; \
fset0(peri, pbuf, di, dj, dk, dl, istride, nao2); \
} \
}
void AO2MOfill_nr_s1(int (*intor)(), int (*fprescreen)(),
double *eri, double *buf,
int nkl, int ish, struct _AO2MOEnvs *envs)
{
const int nao = envs->nao;
const size_t nao2 = nao * nao;
const int *ao_loc = envs->ao_loc;
const int klsh_start = envs->klsh_start;
const int klsh_end = klsh_start + envs->klsh_count;
const int di = ao_loc[ish+1] - ao_loc[ish];
const int ioff = ao_loc[ish] * nao;
int kl, jsh, ksh, lsh, dj, dk, dl;
int icomp;
int shls[4];
double *pbuf, *peri;
shls[0] = ish;
for (kl = klsh_start; kl < klsh_end; kl++) {
// kl = k * (k+1) / 2 + l
ksh = kl / envs->nbas;
lsh = kl - ksh * envs->nbas;
dk = ao_loc[ksh+1] - ao_loc[ksh];
dl = ao_loc[lsh+1] - ao_loc[lsh];
shls[2] = ksh;
shls[3] = lsh;
for (jsh = 0; jsh < envs->nbas; jsh++) {
dj = ao_loc[jsh+1] - ao_loc[jsh];
shls[1] = jsh;
DISTR_INTS_BY(s1_copy, s1_set0, nao);
}
eri += nao2 * dk * dl;
}
}
void AO2MOfill_nr_s2ij(int (*intor)(), int (*fprescreen)(),
double *eri, double *buf,
int nkl, int ish, struct _AO2MOEnvs *envs)
{
const int nao = envs->nao;
const size_t nao2 = nao * (nao+1) / 2;
const int *ao_loc = envs->ao_loc;
const int klsh_start = envs->klsh_start;
const int klsh_end = klsh_start + envs->klsh_count;
const int di = ao_loc[ish+1] - ao_loc[ish];
const int ioff = ao_loc[ish] * (ao_loc[ish]+1) / 2;
int kl, jsh, ksh, lsh, dj, dk, dl;
int icomp;
int shls[4];
double *pbuf = buf;
double *peri;
shls[0] = ish;
for (kl = klsh_start; kl < klsh_end; kl++) {
// kl = k * (k+1) / 2 + l
ksh = kl / envs->nbas;
lsh = kl - ksh * envs->nbas;
dk = ao_loc[ksh+1] - ao_loc[ksh];
dl = ao_loc[lsh+1] - ao_loc[lsh];
shls[2] = ksh;
shls[3] = lsh;
for (jsh = 0; jsh < ish; jsh++) {
dj = ao_loc[jsh+1] - ao_loc[jsh];
shls[1] = jsh;
DISTR_INTS_BY(s4_copy, s4_set0, ao_loc[ish]+1);
}
jsh = ish;
dj = di;
shls[1] = jsh;
DISTR_INTS_BY(s4_copy_ieqj, s4_set0_ieqj, ao_loc[ish]+1);
eri += nao2 * dk * dl;
}
}
void AO2MOfill_nr_s2kl(int (*intor)(), int (*fprescreen)(),
double *eri, double *buf,
int nkl, int ish, struct _AO2MOEnvs *envs)
{
const int nao = envs->nao;
const size_t nao2 = nao * nao;
const int *ao_loc = envs->ao_loc;
const int klsh_start = envs->klsh_start;
const int klsh_end = klsh_start + envs->klsh_count;
const int di = ao_loc[ish+1] - ao_loc[ish];
const int ioff = ao_loc[ish] * nao;
int kl, jsh, ksh, lsh, dj, dk, dl;
int icomp;
int shls[4];
double *pbuf = buf;
double *peri;
shls[0] = ish;
for (kl = klsh_start; kl < klsh_end; kl++) {
// kl = k * (k+1) / 2 + l
ksh = (int)(sqrt(2*kl+.25) - .5 + 1e-7);
lsh = kl - ksh * (ksh+1) / 2;
dk = ao_loc[ksh+1] - ao_loc[ksh];
dl = ao_loc[lsh+1] - ao_loc[lsh];
shls[2] = ksh;
shls[3] = lsh;
if (ksh == lsh) {
for (jsh = 0; jsh < envs->nbas; jsh++) {
dj = ao_loc[jsh+1] - ao_loc[jsh];
shls[1] = jsh;
DISTR_INTS_BY(s2kl_copy_keql, s2kl_set0_keql, nao);
}
eri += nao2 * dk*(dk+1)/2;
} else {
for (jsh = 0; jsh < envs->nbas; jsh++) {
dj = ao_loc[jsh+1] - ao_loc[jsh];
shls[1] = jsh;
DISTR_INTS_BY(s1_copy, s1_set0, nao);
}
eri += nao2 * dk * dl;
} }
}
void AO2MOfill_nr_s4(int (*intor)(), int (*fprescreen)(),
double *eri, double *buf,
int nkl, int ish, struct _AO2MOEnvs *envs)
{
const int nao = envs->nao;
const size_t nao2 = nao * (nao+1) / 2;
const int *ao_loc = envs->ao_loc;
const int klsh_start = envs->klsh_start;
const int klsh_end = klsh_start + envs->klsh_count;
const int di = ao_loc[ish+1] - ao_loc[ish];
const int ioff = ao_loc[ish] * (ao_loc[ish]+1) / 2;
int kl, jsh, ksh, lsh, dj, dk, dl;
int icomp;
int shls[4];
double *pbuf = buf;
double *peri;
shls[0] = ish;
for (kl = klsh_start; kl < klsh_end; kl++) {
// kl = k * (k+1) / 2 + l
ksh = (int)(sqrt(2*kl+.25) - .5 + 1e-7);
lsh = kl - ksh * (ksh+1) / 2;
dk = ao_loc[ksh+1] - ao_loc[ksh];
dl = ao_loc[lsh+1] - ao_loc[lsh];
shls[2] = ksh;
shls[3] = lsh;
if (ksh == lsh) {
for (jsh = 0; jsh < ish; jsh++) {
dj = ao_loc[jsh+1] - ao_loc[jsh];
shls[1] = jsh;
DISTR_INTS_BY(s4_copy_keql, s4_set0_keql,
ao_loc[ish]+1);
}
jsh = ish;
dj = di;
shls[1] = ish;
DISTR_INTS_BY(s4_copy_keql_ieqj, s4_set0_keql_ieqj,
ao_loc[ish]+1);
eri += nao2 * dk*(dk+1)/2;
} else {
for (jsh = 0; jsh < ish; jsh++) {
dj = ao_loc[jsh+1] - ao_loc[jsh];
shls[1] = jsh;
DISTR_INTS_BY(s4_copy, s4_set0, ao_loc[ish]+1);
}
jsh = ish;
dj = di;
shls[1] = ish;
DISTR_INTS_BY(s4_copy_ieqj, s4_set0_ieqj, ao_loc[ish]+1);
eri += nao2 * dk * dl;
} }
}
/*
* ************************************************
* s1, s2ij, s2kl, s4 here to label the AO symmetry
*/
void AO2MOtranse1_nr_s1(int (*fmmm)(), int row_id,
double *vout, double *vin, double *buf,
struct _AO2MOEnvs *envs)
{
size_t ij_pair = (*fmmm)(NULL, NULL, buf, envs, OUTPUTIJ);
size_t nao2 = envs->nao * envs->nao;
(*fmmm)(vout+ij_pair*row_id, vin+nao2*row_id, buf, envs, 0);
}
void AO2MOtranse1_nr_s2ij(int (*fmmm)(), int row_id,
double *vout, double *vin, double *buf,
struct _AO2MOEnvs *envs)
{
int nao = envs->nao;
size_t ij_pair = (*fmmm)(NULL, NULL, buf, envs, OUTPUTIJ);
size_t nao2 = nao*(nao+1)/2;
NPdunpack_tril(nao, vin+nao2*row_id, buf, 0);
(*fmmm)(vout+ij_pair*row_id, buf, buf+nao*nao, envs, 0);
}
void AO2MOtranse1_nr_s2(int (*fmmm)(), int row_id,
double *vout, double *vin, double *buf,
struct _AO2MOEnvs *envs)
{
AO2MOtranse1_nr_s2ij(fmmm, row_id, vout, vin, buf, envs);
}
void AO2MOtranse1_nr_s2kl(int (*fmmm)(), int row_id,
double *vout, double *vin, double *buf,
struct _AO2MOEnvs *envs)
{
AO2MOtranse1_nr_s1(fmmm, row_id, vout, vin, buf, envs);
}
void AO2MOtranse1_nr_s4(int (*fmmm)(), int row_id,
double *vout, double *vin, double *buf,
struct _AO2MOEnvs *envs)
{
AO2MOtranse1_nr_s2ij(fmmm, row_id, vout, vin, buf, envs);
}
/*
* ************************************************
* s1, s2ij, s2kl, s4 here to label the AO symmetry
*/
void AO2MOtranse2_nr_s1(int (*fmmm)(), int row_id,
double *vout, double *vin, double *buf,
struct _AO2MOEnvs *envs)
{
size_t ij_pair = (*fmmm)(NULL, NULL, buf, envs, OUTPUTIJ);
size_t nao2 = (*fmmm)(NULL, NULL, buf, envs, INPUT_IJ);
(*fmmm)(vout+ij_pair*row_id, vin+nao2*row_id, buf, envs, 0);
}
void AO2MOtranse2_nr_s2ij(int (*fmmm)(), int row_id,
double *vout, double *vin, double *buf,
struct _AO2MOEnvs *envs)
{
AO2MOtranse2_nr_s1(fmmm, row_id, vout, vin, buf, envs);
}
void AO2MOtranse2_nr_s2kl(int (*fmmm)(), int row_id,
double *vout, double *vin, double *buf,
struct _AO2MOEnvs *envs)
{
int nao = envs->nao;
size_t ij_pair = (*fmmm)(NULL, NULL, buf, envs, OUTPUTIJ);
size_t nao2 = (*fmmm)(NULL, NULL, buf, envs, INPUT_IJ);
NPdunpack_tril(nao, vin+nao2*row_id, buf, 0);
(*fmmm)(vout+ij_pair*row_id, buf, buf+nao*nao, envs, 0);
}
void AO2MOtranse2_nr_s2(int (*fmmm)(), int row_id,
double *vout, double *vin, double *buf,
struct _AO2MOEnvs *envs)
{
AO2MOtranse2_nr_s2kl(fmmm, row_id, vout, vin, buf, envs);
}
void AO2MOtranse2_nr_s4(int (*fmmm)(), int row_id,
double *vout, double *vin, double *buf,
struct _AO2MOEnvs *envs)
{
AO2MOtranse2_nr_s2kl(fmmm, row_id, vout, vin, buf, envs);
}
/*
* ************************************************
* sort (shell-based) integral blocks then transform
*/
void AO2MOsortranse2_nr_s1(int (*fmmm)(), int row_id,
double *vout, double *vin, double *buf,
struct _AO2MOEnvs *envs)
{
int nao = envs->nao;
int *ao_loc = envs->ao_loc;
size_t ij_pair = (*fmmm)(NULL, NULL, buf, envs, OUTPUTIJ);
size_t nao2 = (*fmmm)(NULL, NULL, buf, envs, INPUT_IJ);
int ish, jsh, di, dj;
int i, j, ij;
double *pbuf;
vin += nao2 * row_id;
ij = 0;
for (ish = 0; ish < envs->nbas; ish++) {
di = ao_loc[ish+1] - ao_loc[ish];
for (jsh = 0; jsh < envs->nbas; jsh++) {
dj = ao_loc[jsh+1] - ao_loc[jsh];
pbuf = buf + ao_loc[ish] * nao + ao_loc[jsh];
for (i = 0; i < di; i++) {
for (j = 0; j < dj; j++, ij++) {
pbuf[i*nao+j] = vin[ij];
} }
}
}
(*fmmm)(vout+ij_pair*row_id, buf, buf+nao*nao, envs, 0);
}
void AO2MOsortranse2_nr_s2ij(int (*fmmm)(), int row_id,
double *vout, double *vin, double *buf,
struct _AO2MOEnvs *envs)
{
AO2MOsortranse2_nr_s1(fmmm, row_id, vout, vin, buf, envs);
}
void AO2MOsortranse2_nr_s2kl(int (*fmmm)(), int row_id,
double *vout, double *vin, double *buf,
struct _AO2MOEnvs *envs)
{
int nao = envs->nao;
int *ao_loc = envs->ao_loc;
size_t ij_pair = (*fmmm)(NULL, NULL, buf, envs, OUTPUTIJ);
size_t nao2 = (*fmmm)(NULL, NULL, buf, envs, INPUT_IJ);
int ish, jsh, di, dj;
int i, j, ij;
double *pbuf;
vin += nao2 * row_id;
for (ish = 0; ish < envs->nbas; ish++) {
di = ao_loc[ish+1] - ao_loc[ish];
for (jsh = 0; jsh < ish; jsh++) {
dj = ao_loc[jsh+1] - ao_loc[jsh];
pbuf = buf + ao_loc[ish] * nao + ao_loc[jsh];
for (i = 0; i < di; i++) {
for (j = 0; j < dj; j++) {
pbuf[i*nao+j] = vin[i*dj+j];
} }
vin += di * dj;
}
// lower triangle block when ish == jsh
pbuf = buf + ao_loc[ish] * nao + ao_loc[ish];
for (ij = 0, i = 0; i < di; i++) {
for (j = 0; j <= i; j++, ij++) {
pbuf[i*nao+j] = vin[ij];
} }
vin += di * (di+1) / 2;
}
(*fmmm)(vout+ij_pair*row_id, buf, buf+nao*nao, envs, 0);
}
void AO2MOsortranse2_nr_s2(int (*fmmm)(), int row_id,
double *vout, double *vin, double *buf,
struct _AO2MOEnvs *envs)
{
AO2MOsortranse2_nr_s2kl(fmmm, row_id, vout, vin, buf, envs);
}
void AO2MOsortranse2_nr_s4(int (*fmmm)(), int row_id,
double *vout, double *vin, double *buf,
struct _AO2MOEnvs *envs)
{
AO2MOsortranse2_nr_s2kl(fmmm, row_id, vout, vin, buf, envs);
}
/*
* ************************************************
* combine ftrans and fmmm
*/
void AO2MOtrans_nr_s1_iltj(void *nop, int row_id,
double *vout, double *eri, double *buf,
struct _AO2MOEnvs *envs)
{
AO2MOtranse2_nr_s1(AO2MOmmm_nr_s1_iltj, row_id, vout, eri, buf, envs);
}
void AO2MOtrans_nr_s1_igtj(void *nop, int row_id,
double *vout, double *eri, double *buf,
struct _AO2MOEnvs *envs)
{
AO2MOtranse2_nr_s1(AO2MOmmm_nr_s1_igtj, row_id, vout, eri, buf, envs);
}
void AO2MOtrans_nr_sorts1_iltj(void *nop, int row_id,
double *vout, double *eri, double *buf,
struct _AO2MOEnvs *envs)
{
AO2MOsortranse2_nr_s1(AO2MOmmm_nr_s1_iltj, row_id, vout, eri, buf,envs);
}
void AO2MOtrans_nr_sorts1_igtj(void *nop, int row_id,
double *vout, double *eri, double *buf,
struct _AO2MOEnvs *envs)
{
AO2MOsortranse2_nr_s1(AO2MOmmm_nr_s1_igtj, row_id, vout, eri, buf,envs);
}
void AO2MOtrans_nr_s2_iltj(void *nop, int row_id,
double *vout, double *eri, double *buf,
struct _AO2MOEnvs *envs)
{
AO2MOtranse2_nr_s2kl(AO2MOmmm_nr_s2_iltj, row_id, vout, eri, buf, envs);
}
void AO2MOtrans_nr_s2_igtj(void *nop, int row_id,
double *vout, double *eri, double *buf,
struct _AO2MOEnvs *envs)
{
AO2MOtranse2_nr_s2kl(AO2MOmmm_nr_s2_igtj, row_id, vout, eri, buf, envs);
}
void AO2MOtrans_nr_s2_s2(void *nop, int row_id,
double *vout, double *eri, double *buf,
struct _AO2MOEnvs *envs)
{
AO2MOtranse2_nr_s2kl(AO2MOmmm_nr_s2_s2, row_id, vout, eri, buf, envs);
}
void AO2MOtrans_nr_sorts2_iltj(void *nop, int row_id,
double *vout, double *eri, double *buf,
struct _AO2MOEnvs *envs)
{
AO2MOsortranse2_nr_s2kl(AO2MOmmm_nr_s2_iltj, row_id, vout, eri, buf, envs);
}
void AO2MOtrans_nr_sorts2_igtj(void *nop, int row_id,
double *vout, double *eri, double *buf,
struct _AO2MOEnvs *envs)
{
AO2MOsortranse2_nr_s2kl(AO2MOmmm_nr_s2_igtj, row_id, vout, eri, buf, envs);
}
void AO2MOtrans_nr_sorts2_s2(void *nop, int row_id,
double *vout, double *eri, double *buf,
struct _AO2MOEnvs *envs)
{
AO2MOsortranse2_nr_s2kl(AO2MOmmm_nr_s2_s2, row_id, vout, eri, buf,envs);
}
/*
* ************************************************
* Denoting 2e integrals (ij|kl),
* transform ij for ksh_start <= k shell < ksh_end.
* The transformation C_pi C_qj (pq|k*) coefficients are stored in
* mo_coeff, C_pi and C_qj are offset by i_start and i_count, j_start and j_count
*
* The output eri is an 2D array, ordered as (kl-AO-pair,ij-MO-pair) in
* C-order. Transposing is needed before calling AO2MOnr_e2_drv.
* eri[ncomp,nkl,mo_i,mo_j]
*/
void AO2MOnr_e1_drv(int (*intor)(), void (*fill)(), void (*ftrans)(), int (*fmmm)(),
double *eri, double *mo_coeff,
int klsh_start, int klsh_count, int nkl, int ncomp,
int *orbs_slice, int *ao_loc,
CINTOpt *cintopt, CVHFOpt *vhfopt,
int *atm, int natm, int *bas, int nbas, double *env)
{
int nao = ao_loc[nbas];
double *eri_ao = malloc(sizeof(double) * nao*nao*nkl*ncomp);
assert(eri_ao);
AO2MOnr_e1fill_drv(intor, fill, eri_ao, klsh_start, klsh_count,
nkl, ncomp, ao_loc, cintopt, vhfopt,
atm, natm, bas, nbas, env);
AO2MOnr_e2_drv(ftrans, fmmm, eri, eri_ao, mo_coeff,
nkl*ncomp, nao, orbs_slice, ao_loc, nbas);
free(eri_ao);
}
void AO2MOnr_e2_drv(void (*ftrans)(), int (*fmmm)(),
double *vout, double *vin, double *mo_coeff,
int nij, int nao, int *orbs_slice, int *ao_loc, int nbas)
{
struct _AO2MOEnvs envs;
envs.bra_start = orbs_slice[0];
envs.bra_count = orbs_slice[1] - orbs_slice[0];
envs.ket_start = orbs_slice[2];
envs.ket_count = orbs_slice[3] - orbs_slice[2];
envs.nao = nao;
envs.nbas = nbas;
envs.ao_loc = ao_loc;
envs.mo_coeff = mo_coeff;
#pragma omp parallel default(none) \
shared(ftrans, fmmm, vout, vin, nij, envs, nao, orbs_slice)
{
int i;
int i_count = envs.bra_count;
int j_count = envs.ket_count;
double *buf = malloc(sizeof(double) * (nao+i_count) * (nao+j_count));
#pragma omp for schedule(dynamic)
for (i = 0; i < nij; i++) {
(*ftrans)(fmmm, i, vout, vin, buf, &envs);
}
free(buf);
}
}
/*
* The size of eri is ncomp*nkl*nao*nao, note the upper triangular part
* may not be filled
*/
void AO2MOnr_e1fill_drv(int (*intor)(), void (*fill)(), double *eri,
int klsh_start, int klsh_count, int nkl, int ncomp,
int *ao_loc, CINTOpt *cintopt, CVHFOpt *vhfopt,
int *atm, int natm, int *bas, int nbas, double *env)
{
int i;
int nao = ao_loc[nbas];
int dmax = 0;
for (i= 0; i< nbas; i++) {
dmax = MAX(dmax, ao_loc[i+1]-ao_loc[i]);
}
struct _AO2MOEnvs envs = {natm, nbas, atm, bas, env, nao,
klsh_start, klsh_count, 0, 0, 0, 0,
ncomp, ao_loc, NULL, cintopt, vhfopt};
int (*fprescreen)();
if (vhfopt) {
fprescreen = vhfopt->fprescreen;
} else {
fprescreen = CVHFnoscreen;
}
#pragma omp parallel default(none) \
shared(fill, fprescreen, eri, envs, intor, nkl, nbas, dmax, ncomp)
{
int ish;
double *buf = malloc(sizeof(double)*dmax*dmax*dmax*dmax*ncomp);
#pragma omp for schedule(dynamic, 1)
for (ish = 0; ish < nbas; ish++) {
(*fill)(intor, fprescreen, eri, buf, nkl, ish, &envs);
}
free(buf);
}
}
|
mixed_tentusscher_myo_epi_2004_S1_16.c | // Scenario 1 - Mixed-Model TenTusscher 2004 (Myocardium + Epicardium)
// (AP + max:dvdt)
#include <stdio.h>
#include "mixed_tentusscher_myo_epi_2004_S1_16.h"
GET_CELL_MODEL_DATA(init_cell_model_data)
{
if(get_initial_v)
cell_model->initial_v = INITIAL_V;
if(get_neq)
cell_model->number_of_ode_equations = NEQ;
}
SET_ODE_INITIAL_CONDITIONS_CPU(set_model_initial_conditions_cpu)
{
static bool first_call = true;
if(first_call)
{
print_to_stdout_and_file("Using mixed version of TenTusscher 2004 myocardium + epicardium CPU model\n");
first_call = false;
}
// Get the mapping array
uint32_t *mapping = NULL;
if(extra_data)
{
mapping = (uint32_t*)extra_data;
}
else
{
print_to_stderr_and_file_and_exit("You need to specify a mask function when using a mixed model!\n");
}
// Initial conditions for TenTusscher myocardium
if (mapping[sv_id] == 0)
{
// Default initial conditions
/*
sv[0] = INITIAL_V; // V; millivolt
sv[1] = 0.f; //M
sv[2] = 0.75; //H
sv[3] = 0.75f; //J
sv[4] = 0.f; //Xr1
sv[5] = 1.f; //Xr2
sv[6] = 0.f; //Xs
sv[7] = 1.f; //S
sv[8] = 0.f; //R
sv[9] = 0.f; //D
sv[10] = 1.f; //F
sv[11] = 1.f; //FCa
sv[12] = 1.f; //G
sv[13] = 0.0002; //Cai
sv[14] = 0.2f; //CaSR
sv[15] = 11.6f; //Nai
sv[16] = 138.3f; //Ki
*/
// Elnaz's steady-state initial conditions
real sv_sst[]={-86.3965119057144,0.00133824305081220,0.775463576993407,0.775278393595599,0.000179499343643571,0.483303039835057,0.00297647859235379,0.999998290403642,1.98961879737287e-08,1.93486789479597e-05,0.999599147019885,1.00646342475688,0.999975178010127,5.97703651642618e-05,0.418325344820368,10.7429775420171,138.918155900633};
for (uint32_t i = 0; i < NEQ; i++)
sv[i] = sv_sst[i];
}
// Initial conditions for TenTusscher epicardium
else
{
// Default initial conditions
/*
sv[0] = INITIAL_V; // V; millivolt
sv[1] = 0.f; //M
sv[2] = 0.75; //H
sv[3] = 0.75f; //J
sv[4] = 0.f; //Xr1
sv[5] = 1.f; //Xr2
sv[6] = 0.f; //Xs
sv[7] = 1.f; //S
sv[8] = 0.f; //R
sv[9] = 0.f; //D
sv[10] = 1.f; //F
sv[11] = 1.f; //FCa
sv[12] = 1.f; //G
sv[13] = 0.0002; //Cai
sv[14] = 0.2f; //CaSR
sv[15] = 11.6f; //Nai
sv[16] = 138.3f; //Ki
*/
// Elnaz's steady-state initial conditions
real sv_sst[]={-86.7483192903786,0.00124139266353635,0.784090254368693,0.783841452104764,0.000170451496846977,0.486964058308499,0.00290284886680770,0.999998406427332,1.87637384652191e-08,1.84621023061194e-05,0.999773189681547,1.00747246329432,0.999998766251122,3.62305429746073e-05,0.498401887398767,9.67183998069534,139.929269732841}; for (uint32_t i = 0; i < NEQ; i++)
sv[i] = sv_sst[i];
}
}
SOLVE_MODEL_ODES_CPU(solve_model_odes_cpu)
{
// Get the mapping array
uint32_t *mapping = NULL;
if(extra_data)
{
mapping = (uint32_t*)extra_data;
}
else
{
print_to_stderr_and_file_and_exit("You need to specify a mask function when using a mixed model!\n");
}
uint32_t sv_id;
int i;
#pragma omp parallel for private(sv_id)
for (i = 0; i < num_cells_to_solve; i++)
{
if(cells_to_solve)
sv_id = cells_to_solve[i];
else
sv_id = (uint32_t )i;
for (int j = 0; j < num_steps; ++j)
{
if (mapping[i] == 0)
solve_model_ode_cpu_myo(dt, sv + (sv_id * NEQ), stim_currents[i]);
else
solve_model_ode_cpu_epi(dt, sv + (sv_id * NEQ), stim_currents[i]);
}
}
}
void solve_model_ode_cpu_myo (real dt, real *sv, real stim_current)
{
real rY[NEQ], rDY[NEQ];
for(int i = 0; i < NEQ; i++)
rY[i] = sv[i];
RHS_cpu_myo(rY, rDY, stim_current, dt);
for(int i = 0; i < NEQ; i++)
sv[i] = rDY[i];
}
void RHS_cpu_myo(const real *sv, real *rDY_, real stim_current, real dt)
{
// State variables
real svolt = sv[0];
real sm = sv[1];
real sh = sv[2];
real sj = sv[3];
real sxr1 = sv[4];
real sxr2 = sv[5];
real sxs = sv[6];
real ss = sv[7];
real sr = sv[8];
real sd = sv[9];
real sf = sv[10];
real sfca = sv[11];
real sg = sv[12];
real Cai = sv[13];
real CaSR = sv[14];
real Nai = sv[15];
real Ki = sv[16];
//External concentrations
real Ko=5.4;
real Cao=2.0;
real Nao=140.0;
//Intracellular volumes
real Vc=0.016404;
real Vsr=0.001094;
//Calcium dynamics
real Bufc=0.15f;
real Kbufc=0.001f;
real Bufsr=10.f;
real Kbufsr=0.3f;
real taufca=2.f;
real taug=2.f;
real Vmaxup=0.000425f;
real Kup=0.00025f;
//Constants
const real R = 8314.472f;
const real F = 96485.3415f;
const real T =310.0f;
real RTONF =(R*T)/F;
//Cellular capacitance
real CAPACITANCE=0.185;
//Parameters for currents
//Parameters for IKr
real Gkr=0.096;
//Parameters for Iks
real pKNa=0.03;
// [!] Myocardium cell
real Gks=0.062;
//Parameters for Ik1
real GK1=5.405;
//Parameters for Ito
// [!] Myocardium cell
real Gto=0.294;
//Parameters for INa
real GNa=14.838;
//Parameters for IbNa
real GbNa=0.00029;
//Parameters for INaK
real KmK=1.0;
real KmNa=40.0;
real knak=1.362;
//Parameters for ICaL
real GCaL=0.000175;
//Parameters for IbCa
real GbCa=0.000592;
//Parameters for INaCa
real knaca=1000;
real KmNai=87.5;
real KmCa=1.38;
real ksat=0.1;
real n=0.35;
//Parameters for IpCa
real GpCa=0.825;
real KpCa=0.0005;
//Parameters for IpK;
real GpK=0.0146;
real IKr;
real IKs;
real IK1;
real Ito;
real INa;
real IbNa;
real ICaL;
real IbCa;
real INaCa;
real IpCa;
real IpK;
real INaK;
real Irel;
real Ileak;
real dNai;
real dKi;
real dCai;
real dCaSR;
real A;
// real BufferFactorc;
// real BufferFactorsr;
real SERCA;
real Caisquare;
real CaSRsquare;
real CaCurrent;
real CaSRCurrent;
real fcaold;
real gold;
real Ek;
real Ena;
real Eks;
real Eca;
real CaCSQN;
real bjsr;
real cjsr;
real CaBuf;
real bc;
real cc;
real Ak1;
real Bk1;
real rec_iK1;
real rec_ipK;
real rec_iNaK;
real AM;
real BM;
real AH_1;
real BH_1;
real AH_2;
real BH_2;
real AJ_1;
real BJ_1;
real AJ_2;
real BJ_2;
real M_INF;
real H_INF;
real J_INF;
real TAU_M;
real TAU_H;
real TAU_J;
real axr1;
real bxr1;
real axr2;
real bxr2;
real Xr1_INF;
real Xr2_INF;
real TAU_Xr1;
real TAU_Xr2;
real Axs;
real Bxs;
real Xs_INF;
real TAU_Xs;
real R_INF;
real TAU_R;
real S_INF;
real TAU_S;
real Ad;
real Bd;
real Cd;
real TAU_D;
real D_INF;
real TAU_F;
real F_INF;
real FCa_INF;
real G_INF;
real inverseVcF2=1/(2*Vc*F);
real inverseVcF=1./(Vc*F);
real Kupsquare=Kup*Kup;
// real BufcKbufc=Bufc*Kbufc;
// real Kbufcsquare=Kbufc*Kbufc;
// real Kbufc2=2*Kbufc;
// real BufsrKbufsr=Bufsr*Kbufsr;
// const real Kbufsrsquare=Kbufsr*Kbufsr;
// const real Kbufsr2=2*Kbufsr;
const real exptaufca=exp(-dt/taufca);
const real exptaug=exp(-dt/taug);
real sItot;
//Needed to compute currents
Ek=RTONF*(log((Ko/Ki)));
Ena=RTONF*(log((Nao/Nai)));
Eks=RTONF*(log((Ko+pKNa*Nao)/(Ki+pKNa*Nai)));
Eca=0.5*RTONF*(log((Cao/Cai)));
Ak1=0.1/(1.+exp(0.06*(svolt-Ek-200)));
Bk1=(3.*exp(0.0002*(svolt-Ek+100))+
exp(0.1*(svolt-Ek-10)))/(1.+exp(-0.5*(svolt-Ek)));
rec_iK1=Ak1/(Ak1+Bk1);
rec_iNaK=(1./(1.+0.1245*exp(-0.1*svolt*F/(R*T))+0.0353*exp(-svolt*F/(R*T))));
rec_ipK=1./(1.+exp((25-svolt)/5.98));
//Compute currents
INa=GNa*sm*sm*sm*sh*sj*(svolt-Ena);
ICaL=GCaL*sd*sf*sfca*4*svolt*(F*F/(R*T))*
(exp(2*svolt*F/(R*T))*Cai-0.341*Cao)/(exp(2*svolt*F/(R*T))-1.);
Ito=Gto*sr*ss*(svolt-Ek);
IKr=Gkr*sqrt(Ko/5.4)*sxr1*sxr2*(svolt-Ek);
IKs=Gks*sxs*sxs*(svolt-Eks);
IK1=GK1*rec_iK1*(svolt-Ek);
INaCa=knaca*(1./(KmNai*KmNai*KmNai+Nao*Nao*Nao))*(1./(KmCa+Cao))*
(1./(1+ksat*exp((n-1)*svolt*F/(R*T))))*
(exp(n*svolt*F/(R*T))*Nai*Nai*Nai*Cao-
exp((n-1)*svolt*F/(R*T))*Nao*Nao*Nao*Cai*2.5);
INaK=knak*(Ko/(Ko+KmK))*(Nai/(Nai+KmNa))*rec_iNaK;
IpCa=GpCa*Cai/(KpCa+Cai);
IpK=GpK*rec_ipK*(svolt-Ek);
IbNa=GbNa*(svolt-Ena);
IbCa=GbCa*(svolt-Eca);
//Determine total current
(sItot) = IKr +
IKs +
IK1 +
Ito +
INa +
IbNa +
ICaL +
IbCa +
INaK +
INaCa +
IpCa +
IpK +
stim_current;
//update concentrations
Caisquare=Cai*Cai;
CaSRsquare=CaSR*CaSR;
CaCurrent=-(ICaL+IbCa+IpCa-2.0f*INaCa)*inverseVcF2*CAPACITANCE;
A=0.016464f*CaSRsquare/(0.0625f+CaSRsquare)+0.008232f;
Irel=A*sd*sg;
Ileak=0.00008f*(CaSR-Cai);
SERCA=Vmaxup/(1.f+(Kupsquare/Caisquare));
CaSRCurrent=SERCA-Irel-Ileak;
CaCSQN=Bufsr*CaSR/(CaSR+Kbufsr);
dCaSR=dt*(Vc/Vsr)*CaSRCurrent;
bjsr=Bufsr-CaCSQN-dCaSR-CaSR+Kbufsr;
cjsr=Kbufsr*(CaCSQN+dCaSR+CaSR);
CaSR=(sqrt(bjsr*bjsr+4.*cjsr)-bjsr)/2.;
CaBuf=Bufc*Cai/(Cai+Kbufc);
dCai=dt*(CaCurrent-CaSRCurrent);
bc=Bufc-CaBuf-dCai-Cai+Kbufc;
cc=Kbufc*(CaBuf+dCai+Cai);
Cai=(sqrt(bc*bc+4*cc)-bc)/2;
dNai=-(INa+IbNa+3*INaK+3*INaCa)*inverseVcF*CAPACITANCE;
Nai+=dt*dNai;
dKi=-(stim_current+IK1+Ito+IKr+IKs-2*INaK+IpK)*inverseVcF*CAPACITANCE;
Ki+=dt*dKi;
//compute steady state values and time constants
AM=1./(1.+exp((-60.-svolt)/5.));
BM=0.1/(1.+exp((svolt+35.)/5.))+0.10/(1.+exp((svolt-50.)/200.));
TAU_M=AM*BM;
M_INF=1./((1.+exp((-56.86-svolt)/9.03))*(1.+exp((-56.86-svolt)/9.03)));
if (svolt>=-40.)
{
AH_1=0.;
BH_1=(0.77/(0.13*(1.+exp(-(svolt+10.66)/11.1))));
TAU_H= 1.0/(AH_1+BH_1);
}
else
{
AH_2=(0.057*exp(-(svolt+80.)/6.8));
BH_2=(2.7*exp(0.079*svolt)+(3.1e5)*exp(0.3485*svolt));
TAU_H=1.0/(AH_2+BH_2);
}
H_INF=1./((1.+exp((svolt+71.55)/7.43))*(1.+exp((svolt+71.55)/7.43)));
if(svolt>=-40.)
{
AJ_1=0.;
BJ_1=(0.6*exp((0.057)*svolt)/(1.+exp(-0.1*(svolt+32.))));
TAU_J= 1.0/(AJ_1+BJ_1);
}
else
{
AJ_2=(((-2.5428e4)*exp(0.2444*svolt)-(6.948e-6)*
exp(-0.04391*svolt))*(svolt+37.78)/
(1.+exp(0.311*(svolt+79.23))));
BJ_2=(0.02424*exp(-0.01052*svolt)/(1.+exp(-0.1378*(svolt+40.14))));
TAU_J= 1.0/(AJ_2+BJ_2);
}
J_INF=H_INF;
Xr1_INF=1./(1.+exp((-26.-svolt)/7.));
axr1=450./(1.+exp((-45.-svolt)/10.));
bxr1=6./(1.+exp((svolt-(-30.))/11.5));
TAU_Xr1=axr1*bxr1;
Xr2_INF=1./(1.+exp((svolt-(-88.))/24.));
axr2=3./(1.+exp((-60.-svolt)/20.));
bxr2=1.12/(1.+exp((svolt-60.)/20.));
TAU_Xr2=axr2*bxr2;
Xs_INF=1./(1.+exp((-5.-svolt)/14.));
Axs=1100./(sqrt(1.+exp((-10.-svolt)/6)));
Bxs=1./(1.+exp((svolt-60.)/20.));
TAU_Xs=Axs*Bxs;
// [!] Myocardium cell
R_INF=1./(1.+exp((20-svolt)/6.));
S_INF=1./(1.+exp((svolt+20)/5.));
TAU_R=9.5*exp(-(svolt+40.)*(svolt+40.)/1800.)+0.8;
TAU_S=85.*exp(-(svolt+45.)*(svolt+45.)/320.)+5./(1.+exp((svolt-20.)/5.))+3.;
D_INF=1./(1.+exp((-5-svolt)/7.5));
Ad=1.4/(1.+exp((-35-svolt)/13))+0.25;
Bd=1.4/(1.+exp((svolt+5)/5));
Cd=1./(1.+exp((50-svolt)/20));
TAU_D=Ad*Bd+Cd;
F_INF=1./(1.+exp((svolt+20)/7));
//TAU_F=1125*exp(-(svolt+27)*(svolt+27)/300)+80+165/(1.+exp((25-svolt)/10));
TAU_F=1125*exp(-(svolt+27)*(svolt+27)/240)+80+165/(1.+exp((25-svolt)/10)); // Updated from CellML
FCa_INF=(1./(1.+pow((Cai/0.000325),8))+
0.1/(1.+exp((Cai-0.0005)/0.0001))+
0.20/(1.+exp((Cai-0.00075)/0.0008))+
0.23 )/1.46;
if(Cai<0.00035)
G_INF=1./(1.+pow((Cai/0.00035),6));
else
G_INF=1./(1.+pow((Cai/0.00035),16));
//Update gates
rDY_[1] = M_INF-(M_INF-sm)*exp(-dt/TAU_M);
rDY_[2] = H_INF-(H_INF-sh)*exp(-dt/TAU_H);
rDY_[3] = J_INF-(J_INF-sj)*exp(-dt/TAU_J);
rDY_[4] = Xr1_INF-(Xr1_INF-sxr1)*exp(-dt/TAU_Xr1);
rDY_[5] = Xr2_INF-(Xr2_INF-sxr2)*exp(-dt/TAU_Xr2);
rDY_[6] = Xs_INF-(Xs_INF-sxs)*exp(-dt/TAU_Xs);
rDY_[7] = S_INF-(S_INF-ss)*exp(-dt/TAU_S);
rDY_[8] = R_INF-(R_INF-sr)*exp(-dt/TAU_R);
rDY_[9] = D_INF-(D_INF-sd)*exp(-dt/TAU_D);
rDY_[10] = F_INF-(F_INF-sf)*exp(-dt/TAU_F);
fcaold= sfca;
sfca = FCa_INF-(FCa_INF-sfca)*exptaufca;
if(sfca>fcaold && (svolt)>-37.0)
sfca = fcaold;
gold = sg;
sg = G_INF-(G_INF-sg)*exptaug;
if(sg>gold && (svolt)>-37.0)
sg=gold;
//update voltage
rDY_[0] = svolt + dt*(-sItot);
rDY_[11] = sfca;
rDY_[12] = sg;
rDY_[13] = Cai;
rDY_[14] = CaSR;
rDY_[15] = Nai;
rDY_[16] = Ki;
}
void solve_model_ode_cpu_epi (real dt, real *sv, real stim_current)
{
real rY[NEQ], rDY[NEQ];
for(int i = 0; i < NEQ; i++)
rY[i] = sv[i];
RHS_cpu_epi(rY, rDY, stim_current, dt);
for(int i = 0; i < NEQ; i++)
sv[i] = rDY[i];
}
void RHS_cpu_epi(const real *sv, real *rDY_, real stim_current, real dt)
{
// State variables
real svolt = sv[0];
real sm = sv[1];
real sh = sv[2];
real sj = sv[3];
real sxr1 = sv[4];
real sxr2 = sv[5];
real sxs = sv[6];
real ss = sv[7];
real sr = sv[8];
real sd = sv[9];
real sf = sv[10];
real sfca = sv[11];
real sg = sv[12];
real Cai = sv[13];
real CaSR = sv[14];
real Nai = sv[15];
real Ki = sv[16];
//External concentrations
real Ko=5.4;
real Cao=2.0;
real Nao=140.0;
//Intracellular volumes
real Vc=0.016404;
real Vsr=0.001094;
//Calcium dynamics
real Bufc=0.15f;
real Kbufc=0.001f;
real Bufsr=10.f;
real Kbufsr=0.3f;
real taufca=2.f;
real taug=2.f;
real Vmaxup=0.000425f;
real Kup=0.00025f;
//Constants
const real R = 8314.472f;
const real F = 96485.3415f;
const real T =310.0f;
real RTONF =(R*T)/F;
//Cellular capacitance
real CAPACITANCE=0.185;
//Parameters for currents
//Parameters for IKr
real Gkr=0.096;
//Parameters for Iks
real pKNa=0.03;
// [!] Epicardium cell
real Gks=0.245;
//Parameters for Ik1
real GK1=5.405;
//Parameters for Ito
// [!] Epicardium cell
real Gto=0.294;
//Parameters for INa
real GNa=14.838;
//Parameters for IbNa
real GbNa=0.00029;
//Parameters for INaK
real KmK=1.0;
real KmNa=40.0;
real knak=1.362;
//Parameters for ICaL
real GCaL=0.000175;
//Parameters for IbCa
real GbCa=0.000592;
//Parameters for INaCa
real knaca=1000;
real KmNai=87.5;
real KmCa=1.38;
real ksat=0.1;
real n=0.35;
//Parameters for IpCa
real GpCa=0.825;
real KpCa=0.0005;
//Parameters for IpK;
real GpK=0.0146;
real parameters []={14.0910822351762,0.000233523298306347,0.000146104473674762,0.000497806931990052,0.257752531207925,0.213256190864802,0.0426525392305093,2.99734344528455,0.0126578066793516,2.07876277098389,1099.72335275360,0.000408760656140804,0.541040274737573,0.0183561024378817,0.00423260174470151,2.29263337470518e-05};
GNa=parameters[0];
GbNa=parameters[1];
GCaL=parameters[2];
GbCa=parameters[3];
Gto=parameters[4];
Gkr=parameters[5];
Gks=parameters[6];
GK1=parameters[7];
GpK=parameters[8];
knak=parameters[9];
knaca=parameters[10];
Vmaxup=parameters[11];
GpCa=parameters[12];
real arel=parameters[13];
real crel=parameters[14];
real Vleak=parameters[15];
real IKr;
real IKs;
real IK1;
real Ito;
real INa;
real IbNa;
real ICaL;
real IbCa;
real INaCa;
real IpCa;
real IpK;
real INaK;
real Irel;
real Ileak;
real dNai;
real dKi;
real dCai;
real dCaSR;
real A;
// real BufferFactorc;
// real BufferFactorsr;
real SERCA;
real Caisquare;
real CaSRsquare;
real CaCurrent;
real CaSRCurrent;
real fcaold;
real gold;
real Ek;
real Ena;
real Eks;
real Eca;
real CaCSQN;
real bjsr;
real cjsr;
real CaBuf;
real bc;
real cc;
real Ak1;
real Bk1;
real rec_iK1;
real rec_ipK;
real rec_iNaK;
real AM;
real BM;
real AH_1;
real BH_1;
real AH_2;
real BH_2;
real AJ_1;
real BJ_1;
real AJ_2;
real BJ_2;
real M_INF;
real H_INF;
real J_INF;
real TAU_M;
real TAU_H;
real TAU_J;
real axr1;
real bxr1;
real axr2;
real bxr2;
real Xr1_INF;
real Xr2_INF;
real TAU_Xr1;
real TAU_Xr2;
real Axs;
real Bxs;
real Xs_INF;
real TAU_Xs;
real R_INF;
real TAU_R;
real S_INF;
real TAU_S;
real Ad;
real Bd;
real Cd;
real TAU_D;
real D_INF;
real TAU_F;
real F_INF;
real FCa_INF;
real G_INF;
real inverseVcF2=1/(2*Vc*F);
real inverseVcF=1./(Vc*F);
real Kupsquare=Kup*Kup;
// real BufcKbufc=Bufc*Kbufc;
// real Kbufcsquare=Kbufc*Kbufc;
// real Kbufc2=2*Kbufc;
// real BufsrKbufsr=Bufsr*Kbufsr;
// const real Kbufsrsquare=Kbufsr*Kbufsr;
// const real Kbufsr2=2*Kbufsr;
const real exptaufca=exp(-dt/taufca);
const real exptaug=exp(-dt/taug);
real sItot;
//Needed to compute currents
Ek=RTONF*(log((Ko/Ki)));
Ena=RTONF*(log((Nao/Nai)));
Eks=RTONF*(log((Ko+pKNa*Nao)/(Ki+pKNa*Nai)));
Eca=0.5*RTONF*(log((Cao/Cai)));
Ak1=0.1/(1.+exp(0.06*(svolt-Ek-200)));
Bk1=(3.*exp(0.0002*(svolt-Ek+100))+
exp(0.1*(svolt-Ek-10)))/(1.+exp(-0.5*(svolt-Ek)));
rec_iK1=Ak1/(Ak1+Bk1);
rec_iNaK=(1./(1.+0.1245*exp(-0.1*svolt*F/(R*T))+0.0353*exp(-svolt*F/(R*T))));
rec_ipK=1./(1.+exp((25-svolt)/5.98));
//Compute currents
INa=GNa*sm*sm*sm*sh*sj*(svolt-Ena);
ICaL=GCaL*sd*sf*sfca*4*svolt*(F*F/(R*T))*
(exp(2*svolt*F/(R*T))*Cai-0.341*Cao)/(exp(2*svolt*F/(R*T))-1.);
Ito=Gto*sr*ss*(svolt-Ek);
IKr=Gkr*sqrt(Ko/5.4)*sxr1*sxr2*(svolt-Ek);
IKs=Gks*sxs*sxs*(svolt-Eks);
IK1=GK1*rec_iK1*(svolt-Ek);
INaCa=knaca*(1./(KmNai*KmNai*KmNai+Nao*Nao*Nao))*(1./(KmCa+Cao))*
(1./(1+ksat*exp((n-1)*svolt*F/(R*T))))*
(exp(n*svolt*F/(R*T))*Nai*Nai*Nai*Cao-
exp((n-1)*svolt*F/(R*T))*Nao*Nao*Nao*Cai*2.5);
INaK=knak*(Ko/(Ko+KmK))*(Nai/(Nai+KmNa))*rec_iNaK;
IpCa=GpCa*Cai/(KpCa+Cai);
IpK=GpK*rec_ipK*(svolt-Ek);
IbNa=GbNa*(svolt-Ena);
IbCa=GbCa*(svolt-Eca);
//Determine total current
(sItot) = IKr +
IKs +
IK1 +
Ito +
INa +
IbNa +
ICaL +
IbCa +
INaK +
INaCa +
IpCa +
IpK +
stim_current;
//update concentrations
Caisquare=Cai*Cai;
CaSRsquare=CaSR*CaSR;
CaCurrent=-(ICaL+IbCa+IpCa-2.0f*INaCa)*inverseVcF2*CAPACITANCE;
A=arel*CaSRsquare/(0.0625f+CaSRsquare)+crel;
Irel=A*sd*sg;
Ileak=Vleak*(CaSR-Cai);
SERCA=Vmaxup/(1.f+(Kupsquare/Caisquare));
CaSRCurrent=SERCA-Irel-Ileak;
CaCSQN=Bufsr*CaSR/(CaSR+Kbufsr);
dCaSR=dt*(Vc/Vsr)*CaSRCurrent;
bjsr=Bufsr-CaCSQN-dCaSR-CaSR+Kbufsr;
cjsr=Kbufsr*(CaCSQN+dCaSR+CaSR);
CaSR=(sqrt(bjsr*bjsr+4.*cjsr)-bjsr)/2.;
CaBuf=Bufc*Cai/(Cai+Kbufc);
dCai=dt*(CaCurrent-CaSRCurrent);
bc=Bufc-CaBuf-dCai-Cai+Kbufc;
cc=Kbufc*(CaBuf+dCai+Cai);
Cai=(sqrt(bc*bc+4*cc)-bc)/2;
dNai=-(INa+IbNa+3*INaK+3*INaCa)*inverseVcF*CAPACITANCE;
Nai+=dt*dNai;
dKi=-(stim_current+IK1+Ito+IKr+IKs-2*INaK+IpK)*inverseVcF*CAPACITANCE;
Ki+=dt*dKi;
//compute steady state values and time constants
AM=1./(1.+exp((-60.-svolt)/5.));
BM=0.1/(1.+exp((svolt+35.)/5.))+0.10/(1.+exp((svolt-50.)/200.));
TAU_M=AM*BM;
M_INF=1./((1.+exp((-56.86-svolt)/9.03))*(1.+exp((-56.86-svolt)/9.03)));
if (svolt>=-40.)
{
AH_1=0.;
BH_1=(0.77/(0.13*(1.+exp(-(svolt+10.66)/11.1))));
TAU_H= 1.0/(AH_1+BH_1);
}
else
{
AH_2=(0.057*exp(-(svolt+80.)/6.8));
BH_2=(2.7*exp(0.079*svolt)+(3.1e5)*exp(0.3485*svolt));
TAU_H=1.0/(AH_2+BH_2);
}
H_INF=1./((1.+exp((svolt+71.55)/7.43))*(1.+exp((svolt+71.55)/7.43)));
if(svolt>=-40.)
{
AJ_1=0.;
BJ_1=(0.6*exp((0.057)*svolt)/(1.+exp(-0.1*(svolt+32.))));
TAU_J= 1.0/(AJ_1+BJ_1);
}
else
{
AJ_2=(((-2.5428e4)*exp(0.2444*svolt)-(6.948e-6)*
exp(-0.04391*svolt))*(svolt+37.78)/
(1.+exp(0.311*(svolt+79.23))));
BJ_2=(0.02424*exp(-0.01052*svolt)/(1.+exp(-0.1378*(svolt+40.14))));
TAU_J= 1.0/(AJ_2+BJ_2);
}
J_INF=H_INF;
Xr1_INF=1./(1.+exp((-26.-svolt)/7.));
axr1=450./(1.+exp((-45.-svolt)/10.));
bxr1=6./(1.+exp((svolt-(-30.))/11.5));
TAU_Xr1=axr1*bxr1;
Xr2_INF=1./(1.+exp((svolt-(-88.))/24.));
axr2=3./(1.+exp((-60.-svolt)/20.));
bxr2=1.12/(1.+exp((svolt-60.)/20.));
TAU_Xr2=axr2*bxr2;
Xs_INF=1./(1.+exp((-5.-svolt)/14.));
Axs=1100./(sqrt(1.+exp((-10.-svolt)/6)));
Bxs=1./(1.+exp((svolt-60.)/20.));
TAU_Xs=Axs*Bxs;
R_INF=1./(1.+exp((20-svolt)/6.));
S_INF=1./(1.+exp((svolt+20)/5.));
TAU_R=9.5*exp(-(svolt+40.)*(svolt+40.)/1800.)+0.8;
TAU_S=85.*exp(-(svolt+45.)*(svolt+45.)/320.)+5./(1.+exp((svolt-20.)/5.))+3.;
D_INF=1./(1.+exp((-5-svolt)/7.5));
Ad=1.4/(1.+exp((-35-svolt)/13))+0.25;
Bd=1.4/(1.+exp((svolt+5)/5));
Cd=1./(1.+exp((50-svolt)/20));
TAU_D=Ad*Bd+Cd;
F_INF=1./(1.+exp((svolt+20)/7));
//TAU_F=1125*exp(-(svolt+27)*(svolt+27)/300)+80+165/(1.+exp((25-svolt)/10));
TAU_F=1125*exp(-(svolt+27)*(svolt+27)/240)+80+165/(1.+exp((25-svolt)/10)); // Updated from CellML
FCa_INF=(1./(1.+pow((Cai/0.000325),8))+
0.1/(1.+exp((Cai-0.0005)/0.0001))+
0.20/(1.+exp((Cai-0.00075)/0.0008))+
0.23 )/1.46;
if(Cai<0.00035)
G_INF=1./(1.+pow((Cai/0.00035),6));
else
G_INF=1./(1.+pow((Cai/0.00035),16));
//Update gates
rDY_[1] = M_INF-(M_INF-sm)*exp(-dt/TAU_M);
rDY_[2] = H_INF-(H_INF-sh)*exp(-dt/TAU_H);
rDY_[3] = J_INF-(J_INF-sj)*exp(-dt/TAU_J);
rDY_[4] = Xr1_INF-(Xr1_INF-sxr1)*exp(-dt/TAU_Xr1);
rDY_[5] = Xr2_INF-(Xr2_INF-sxr2)*exp(-dt/TAU_Xr2);
rDY_[6] = Xs_INF-(Xs_INF-sxs)*exp(-dt/TAU_Xs);
rDY_[7] = S_INF-(S_INF-ss)*exp(-dt/TAU_S);
rDY_[8] = R_INF-(R_INF-sr)*exp(-dt/TAU_R);
rDY_[9] = D_INF-(D_INF-sd)*exp(-dt/TAU_D);
rDY_[10] = F_INF-(F_INF-sf)*exp(-dt/TAU_F);
fcaold= sfca;
sfca = FCa_INF-(FCa_INF-sfca)*exptaufca;
if(sfca>fcaold && (svolt)>-37.0)
sfca = fcaold;
gold = sg;
sg = G_INF-(G_INF-sg)*exptaug;
if(sg>gold && (svolt)>-37.0)
sg=gold;
//update voltage
rDY_[0] = svolt + dt*(-sItot);
rDY_[11] = sfca;
rDY_[12] = sg;
rDY_[13] = Cai;
rDY_[14] = CaSR;
rDY_[15] = Nai;
rDY_[16] = Ki;
}
|
selection_move_generator.h | /*****************************************************************************/
// Copyright (c) 2020-2021 Yuji KOGUMA
// Released under the MIT license
// https://opensource.org/licenses/mit-license.php
/*****************************************************************************/
#ifndef PRINTEMPS_NEIGHBORHOOD_SELECTION_MOVE_MOVE_GENERATOR_H__
#define PRINTEMPS_NEIGHBORHOOD_SELECTION_MOVE_MOVE_GENERATOR_H__
#include "abstract_move_generator.h"
namespace printemps {
namespace neighborhood {
/*****************************************************************************/
template <class T_Variable, class T_Expression>
class SelectionMoveGenerator
: public AbstractMoveGenerator<T_Variable, T_Expression> {
private:
public:
/*************************************************************************/
SelectionMoveGenerator(void) {
/// nothing to do
}
/*************************************************************************/
virtual ~SelectionMoveGenerator(void) {
/// nothing to do
}
/*************************************************************************/
constexpr void setup(
std::vector<model_component::Variable<T_Variable, T_Expression> *>
&a_VARIABLE_PTRS) {
/**
* "Swap" move for binary variables in selection
* constraints: e.g.) selection constraint x + y + z = 1 (x,
* y, z \in {0, 1}) move: {(x = 0, y = 1), (x = 0, z = 1)}
* (if x = 1, y = 0, z = 0)
*/
/**
* Setup move objects.
*/
const int VARIABLES_SIZE = a_VARIABLE_PTRS.size();
this->m_moves.resize(VARIABLES_SIZE);
this->m_flags.resize(VARIABLES_SIZE);
for (auto i = 0; i < VARIABLES_SIZE; i++) {
this->m_moves[i].sense = MoveSense::Selection;
this->m_moves[i].related_constraint_ptrs =
a_VARIABLE_PTRS[i]->selection_ptr()->related_constraint_ptrs;
this->m_moves[i].is_univariable_move = false;
this->m_moves[i].is_special_neighborhood_move = false;
this->m_moves[i].is_available = true;
this->m_moves[i].overlap_rate = 0.0;
}
/**
* Setup move updater
*/
auto move_updater = //
[this, a_VARIABLE_PTRS, VARIABLES_SIZE](
auto * a_moves, //
auto * a_flags, //
const bool a_ACCEPT_ALL, //
const bool a_ACCEPT_OBJECTIVE_IMPROVABLE, //
const bool a_ACCEPT_FEASIBILITY_IMPROVABLE, //
[[maybe_unused]] const bool a_IS_ENABLED_PARALLEL) {
#ifdef _OPENMP
#pragma omp parallel for if (a_IS_ENABLED_PARALLEL) schedule(static)
#endif
for (auto i = 0; i < VARIABLES_SIZE; i++) {
(*a_moves)[i].alterations.clear();
(*a_moves)[i].alterations.emplace_back(
a_VARIABLE_PTRS[i]
->selection_ptr()
->selected_variable_ptr,
0);
(*a_moves)[i].alterations.emplace_back(a_VARIABLE_PTRS[i],
1);
}
const int MOVES_SIZE = a_moves->size();
#ifdef _OPENMP
#pragma omp parallel for if (a_IS_ENABLED_PARALLEL) schedule(static)
#endif
for (auto i = 0; i < MOVES_SIZE; i++) {
(*a_flags)[i] = 1;
if (neighborhood::has_fixed_variable((*a_moves)[i])) {
(*a_flags)[i] = 0;
continue;
}
if ((*a_moves)[i].alterations[0].first ==
(*a_moves)[i].alterations[1].first) {
(*a_flags)[i] = 0;
continue;
}
if (a_ACCEPT_ALL) {
/** nothing to do */
} else {
if (a_ACCEPT_OBJECTIVE_IMPROVABLE &&
neighborhood::has_objective_improvable_variable(
(*a_moves)[i])) {
continue;
}
if (a_ACCEPT_FEASIBILITY_IMPROVABLE &&
neighborhood::has_feasibility_improvable_variable(
(*a_moves)[i])) {
continue;
}
(*a_flags)[i] = 0;
}
}
};
this->m_move_updater = move_updater;
}
};
} // namespace neighborhood
} // namespace printemps
#endif
/*****************************************************************************/
// END
/*****************************************************************************/ |
masked-spgemm-prof.h |
#ifndef MASKEDSPGEMM_MASKED_SPGEMM_PROF_H
#define MASKEDSPGEMM_MASKED_SPGEMM_PROF_H
#include <x86intrin.h>
template<template<class, class, bool> class RowAlgorithm, class IT, class NT, class MultiplyOperation, class AddOperation>
void MaskedSpGEMM1p_prof(long *rowTimes, const CSR<IT, NT> &A, const CSR<IT, NT> &B, CSR<IT, NT> &C, const CSR<IT, NT> &M,
MultiplyOperation multop, AddOperation addop, unsigned numThreads = 0) {
using RowAlg = RowAlgorithm<IT, NT, false>;
// Calculate number of threads and init C
setNumThreads(numThreads);
verifyInputs(A, B, C, M);
// Estimate work
IT *flopsPerRow = my_malloc<IT>(A.rows, false);
IT flops = calculateFlops(A, B, flopsPerRow, numThreads);
// Calculate cumulative work
IT *cumulativeWork = my_malloc<IT>(A.rows, false);
exclusiveScan(flopsPerRow, A.rows, cumulativeWork, numThreads);
// Allocate memory for row sizes
IT *rowNvals = my_malloc<IT>(A.rows, false);
IT *threadsNvals = my_malloc<IT>(numThreads, false);
#pragma omp parallel num_threads(numThreads)
{
int thisThread = omp_get_thread_num();
// Distribute work
auto[rowBeginIdx, rowEndIdx] = distributeWork(flops, cumulativeWork, A.rows, numThreads, thisThread);
// Scan the input matrices
auto[upperBoundSizeC, maxRowSizeA, maxRowSizeM] = scanInputs<true, RowAlg::CALC_MAX_ROW_SIZE_A, RowAlg::CALC_MAX_ROW_SIZE_M>(
rowBeginIdx, rowEndIdx, flopsPerRow, A, B, M);
// Initialize row algorithm
RowAlg alg{B.cols, maxRowSizeA, maxRowSizeM};
auto[bufferSize, bufferAlignment] = alg.getMemoryRequirement();
auto buffer = mallocAligned(bufferSize, bufferAlignment);
size_t dirty = bufferSize;
// Allocate temporary memory for C's column IDs and Values
IT *colIdsLocal = my_malloc<IT>(upperBoundSizeC, false);
NT *valuesLocal = my_malloc<NT>(upperBoundSizeC, false);
IT *currColId = colIdsLocal;
NT *currValue = valuesLocal;
std::chrono::time_point<std::chrono::high_resolution_clock> start;
std::chrono::time_point<std::chrono::high_resolution_clock> end;
// Numeric phase
alg.getNumericAccumulator().setBuffer(buffer, bufferSize, dirty);
start = std::chrono::high_resolution_clock::now();
for (IT row = rowBeginIdx; row < rowEndIdx; ++row) {
if (M.rowptr[row] != M.rowptr[row + 1] && A.rowptr[row] != A.rowptr[row + 1]) {
alg.numericRow(A, B, M, multop, addop, row, currColId, currValue);
} else {
rowNvals[row] = 0;
}
end = std::chrono::high_resolution_clock::now();
rowTimes[row] = std::chrono::duration_cast<std::chrono::nanoseconds>(end - start).count();
start = end;
}
threadsNvals[thisThread] = currColId - colIdsLocal;
dirty = alg.getNumericAccumulator().releaseBuffer();
#pragma omp barrier
#pragma omp master
{
initC(A, B, C, threadsNvals, numThreads);
}
#pragma omp barrier
setRowOffsets(C, threadsNvals, rowBeginIdx, rowEndIdx, rowNvals, numThreads, thisThread);
copyValuesToC(C, rowBeginIdx, colIdsLocal, valuesLocal, threadsNvals[thisThread]);
my_free(colIdsLocal);
my_free(valuesLocal);
freeAligned(buffer);
}
my_free(flopsPerRow);
my_free(cumulativeWork);
my_free(rowNvals);
my_free(threadsNvals);
}
#endif //MASKEDSPGEMM_MASKED_SPGEMM_PROF_H
|
HybridRepCenterOrbitals.h | //////////////////////////////////////////////////////////////////////////////////////
// This file is distributed under the University of Illinois/NCSA Open Source License.
// See LICENSE file in top directory for details.
//
// Copyright (c) 2019 QMCPACK developers.
//
// File developed by: Ye Luo, yeluo@anl.gov, Argonne National Laboratory
//
// File created by: Ye Luo, yeluo@anl.gov, Argonne National Laboratory
//
//////////////////////////////////////////////////////////////////////////////////////
/** @file HybridRepCenterOrbitals.h
*
* Hybrid representation atomic centered orbitals
*/
#ifndef QMCPLUSPLUS_HYBRIDREP_CENTER_ORBITALS_H
#define QMCPLUSPLUS_HYBRIDREP_CENTER_ORBITALS_H
#include "Particle/DistanceTableData.h"
#include "QMCWaveFunctions/LCAO/SoaSphericalTensor.h"
#include "spline2/MultiBspline1D.hpp"
#include "Numerics/SmoothFunctions.hpp"
namespace qmcplusplus
{
template<typename ST>
class AtomicOrbitals
{
public:
static const int D = 3;
using AtomicSplineType = typename bspline_traits<ST, 1>::SplineType;
using AtomicBCType = typename bspline_traits<ST, 1>::BCType;
using AtomicSingleSplineType = UBspline_1d_d;
using PointType = TinyVector<ST, D>;
using value_type = ST;
using vContainer_type = aligned_vector<ST>;
private:
// near core cutoff
ST rmin;
// far from core cutoff, rmin_sqrt>=rmin
ST rmin_sqrt;
ST cutoff, cutoff_buffer, spline_radius, non_overlapping_radius;
int spline_npoints, BaseN;
int NumBands, Npad;
PointType center_pos;
const int lmax, lm_tot;
SoaSphericalTensor<ST> Ylm;
vContainer_type l_vals;
vContainer_type r_power_minus_l;
///1D spline of radial functions of all the orbitals
std::shared_ptr<MultiBspline1D<ST>> SplineInst;
vContainer_type localV, localG, localL;
public:
AtomicOrbitals(int Lmax) : lmax(Lmax), lm_tot((Lmax + 1) * (Lmax + 1)), Ylm(Lmax)
{
r_power_minus_l.resize(lm_tot);
l_vals.resize(lm_tot);
for (int l = 0; l <= lmax; l++)
for (int m = -l; m <= l; m++)
l_vals[l * (l + 1) + m] = l;
rmin = std::exp(std::log(std::numeric_limits<ST>::min()) / std::max(Lmax, 1));
rmin = std::max(rmin, std::numeric_limits<ST>::epsilon());
rmin_sqrt = std::max(rmin, std::sqrt(std::numeric_limits<ST>::epsilon()));
}
// accessing functions, const only
ST getCutoff() const { return cutoff; }
ST getCutoffBuffer() const { return cutoff_buffer; }
ST getSplineRadius() const { return spline_radius; }
ST getNonOverlappingRadius() const { return non_overlapping_radius; }
int getSplineNpoints() const { return spline_npoints; }
int getLmax() const { return lmax; }
const PointType& getCenterPos() const { return center_pos; }
inline void resizeStorage(size_t Nb)
{
NumBands = Nb;
Npad = getAlignedSize<ST>(Nb);
localV.resize(Npad * lm_tot);
localG.resize(Npad * lm_tot);
localL.resize(Npad * lm_tot);
create_spline();
}
void bcast_tables(Communicate* comm) { chunked_bcast(comm, SplineInst->getSplinePtr()); }
void gather_tables(Communicate* comm, std::vector<int>& offset)
{
gatherv(comm, SplineInst->getSplinePtr(), Npad, offset);
}
template<typename PT, typename VT>
inline void set_info(const PT& R,
const VT& cutoff_in,
const VT& cutoff_buffer_in,
const VT& spline_radius_in,
const VT& non_overlapping_radius_in,
const int spline_npoints_in)
{
center_pos[0] = R[0];
center_pos[1] = R[1];
center_pos[2] = R[2];
cutoff = cutoff_in;
cutoff_buffer = cutoff_buffer_in;
spline_radius = spline_radius_in;
spline_npoints = spline_npoints_in;
non_overlapping_radius = non_overlapping_radius_in;
BaseN = spline_npoints + 2;
}
inline void create_spline()
{
AtomicBCType bc;
bc.lCode = FLAT;
bc.rCode = NATURAL;
Ugrid grid;
grid.start = 0.0;
grid.end = spline_radius;
grid.num = spline_npoints;
SplineInst = std::make_shared<MultiBspline1D<ST>>();
SplineInst->create(grid, bc, lm_tot * Npad);
}
inline size_t getSplineSizeInBytes() const { return SplineInst->sizeInByte(); }
inline void flush_zero() { SplineInst->flush_zero(); }
inline void set_spline(AtomicSingleSplineType* spline, int lm, int ispline)
{
SplineInst->copy_spline(spline, lm * Npad + ispline, 0, BaseN);
}
bool read_splines(hdf_archive& h5f)
{
einspline_engine<AtomicSplineType> bigtable(SplineInst->getSplinePtr());
int lmax_in, spline_npoints_in;
ST spline_radius_in;
if (!h5f.readEntry(lmax_in, "l_max") || lmax_in != lmax)
return false;
if (!h5f.readEntry(spline_radius_in, "spline_radius") || spline_radius_in != spline_radius)
return false;
if (!h5f.readEntry(spline_npoints_in, "spline_npoints") || spline_npoints_in != spline_npoints)
return false;
return h5f.readEntry(bigtable, "radial_spline");
}
bool write_splines(hdf_archive& h5f)
{
bool success = true;
success = success && h5f.writeEntry(spline_radius, "spline_radius");
success = success && h5f.writeEntry(spline_npoints, "spline_npoints");
success = success && h5f.writeEntry(lmax, "l_max");
success = success && h5f.writeEntry(center_pos, "position");
einspline_engine<AtomicSplineType> bigtable(SplineInst->getSplinePtr());
success = success && h5f.writeEntry(bigtable, "radial_spline");
return success;
}
//evaluate only V
template<typename VV>
inline void evaluate_v(const ST& r, const PointType& dr, VV& myV)
{
if (r > std::numeric_limits<ST>::epsilon())
Ylm.evaluateV(dr[0] / r, dr[1] / r, dr[2] / r);
else
Ylm.evaluateV(0, 0, 1);
const ST* restrict Ylm_v = Ylm[0];
constexpr ST czero(0);
ST* restrict val = myV.data();
ST* restrict local_val = localV.data();
std::fill(myV.begin(), myV.end(), czero);
SplineInst->evaluate(r, localV);
for (size_t lm = 0; lm < lm_tot; lm++)
{
#pragma omp simd aligned(val, local_val)
for (size_t ib = 0; ib < myV.size(); ib++)
val[ib] += Ylm_v[lm] * local_val[ib];
local_val += Npad;
}
}
template<typename DISPL, typename VM>
inline void evaluateValues(const DISPL& Displacements, const int center_idx, const ST& r, VM& multi_myV)
{
if (r <= std::numeric_limits<ST>::epsilon())
Ylm.evaluateV(0, 0, 1);
const ST* restrict Ylm_v = Ylm[0];
const size_t m = multi_myV.cols();
constexpr ST czero(0);
std::fill(multi_myV.begin(), multi_myV.end(), czero);
SplineInst->evaluate(r, localV);
for (int ivp = 0; ivp < Displacements.size(); ivp++)
{
PointType dr = Displacements[ivp][center_idx];
if (r > std::numeric_limits<ST>::epsilon())
Ylm.evaluateV(-dr[0] / r, -dr[1] / r, -dr[2] / r);
ST* restrict val = multi_myV[ivp];
ST* restrict local_val = localV.data();
for (size_t lm = 0; lm < lm_tot; lm++)
{
#pragma omp simd aligned(val, local_val)
for (size_t ib = 0; ib < m; ib++)
val[ib] += Ylm_v[lm] * local_val[ib];
local_val += Npad;
}
}
}
//evaluate VGL
template<typename VV, typename GV>
inline void evaluate_vgl(const ST& r, const PointType& dr, VV& myV, GV& myG, VV& myL)
{
ST drx, dry, drz, rhatx, rhaty, rhatz, rinv;
if (r > rmin)
{
rinv = 1.0 / r;
}
else
{
rinv = 0;
}
drx = dr[0];
dry = dr[1];
drz = dr[2];
rhatx = drx * rinv;
rhaty = dry * rinv;
rhatz = drz * rinv;
Ylm.evaluateVGL(drx, dry, drz);
const ST* restrict Ylm_v = Ylm[0];
const ST* restrict Ylm_gx = Ylm[1];
const ST* restrict Ylm_gy = Ylm[2];
const ST* restrict Ylm_gz = Ylm[3];
ST* restrict g0 = myG.data(0);
ST* restrict g1 = myG.data(1);
ST* restrict g2 = myG.data(2);
constexpr ST czero(0), cone(1), chalf(0.5);
std::fill(myV.begin(), myV.end(), czero);
std::fill(g0, g0 + Npad, czero);
std::fill(g1, g1 + Npad, czero);
std::fill(g2, g2 + Npad, czero);
std::fill(myL.begin(), myL.end(), czero);
ST* restrict val = myV.data();
ST* restrict lapl = myL.data();
ST* restrict local_val = localV.data();
ST* restrict local_grad = localG.data();
ST* restrict local_lapl = localL.data();
SplineInst->evaluate_vgl(r, localV, localG, localL);
if (r > rmin_sqrt)
{
// far from core
r_power_minus_l[0] = cone;
ST r_power_temp = cone;
for (int l = 1; l <= lmax; l++)
{
r_power_temp *= rinv;
for (int m = -l, lm = l * l; m <= l; m++, lm++)
r_power_minus_l[lm] = r_power_temp;
}
for (size_t lm = 0; lm < lm_tot; lm++)
{
const ST& l_val = l_vals[lm];
const ST& r_power = r_power_minus_l[lm];
const ST Ylm_rescale = Ylm_v[lm] * r_power;
const ST rhat_dot_G = (rhatx * Ylm_gx[lm] + rhaty * Ylm_gy[lm] + rhatz * Ylm_gz[lm]) * r_power;
#pragma omp simd aligned(val, g0, g1, g2, lapl, local_val, local_grad, local_lapl)
for (size_t ib = 0; ib < myV.size(); ib++)
{
const ST local_v = local_val[ib];
const ST local_g = local_grad[ib];
const ST local_l = local_lapl[ib];
// value
const ST Vpart = l_val * rinv * local_v;
val[ib] += Ylm_rescale * local_v;
// grad
const ST factor1 = local_g * Ylm_rescale;
const ST factor2 = local_v * r_power;
const ST factor3 = -Vpart * Ylm_rescale;
g0[ib] += factor1 * rhatx + factor2 * Ylm_gx[lm] + factor3 * rhatx;
g1[ib] += factor1 * rhaty + factor2 * Ylm_gy[lm] + factor3 * rhaty;
g2[ib] += factor1 * rhatz + factor2 * Ylm_gz[lm] + factor3 * rhatz;
// laplacian
lapl[ib] += (local_l + (local_g * (2 - l_val) - Vpart) * rinv) * Ylm_rescale + (local_g - Vpart) * rhat_dot_G;
}
local_val += Npad;
local_grad += Npad;
local_lapl += Npad;
}
}
else if (r > rmin)
{
// the possibility of reaching here is very very low
std::cout << "Warning: an electron is very close to an ion, distance=" << r << " be careful!" << std::endl;
// near core, kill divergence in the laplacian
r_power_minus_l[0] = cone;
ST r_power_temp = cone;
for (int l = 1; l <= lmax; l++)
{
r_power_temp *= rinv;
for (int m = -l, lm = l * l; m <= l; m++, lm++)
r_power_minus_l[lm] = r_power_temp;
}
for (size_t lm = 0; lm < lm_tot; lm++)
{
const ST& l_val = l_vals[lm];
const ST& r_power = r_power_minus_l[lm];
const ST Ylm_rescale = Ylm_v[lm] * r_power;
const ST rhat_dot_G = (Ylm_gx[lm] * rhatx + Ylm_gy[lm] * rhaty + Ylm_gz[lm] * rhatz) * r_power * r;
#pragma omp simd aligned(val, g0, g1, g2, lapl, local_val, local_grad, local_lapl)
for (size_t ib = 0; ib < myV.size(); ib++)
{
const ST local_v = local_val[ib];
const ST local_g = local_grad[ib];
const ST local_l = local_lapl[ib];
// value
const ST Vpart = Ylm_rescale * local_v;
val[ib] += Vpart;
// grad
const ST factor1 = local_g * Ylm_rescale;
const ST factor2 = local_v * r_power;
const ST factor3 = -l_val * Vpart * rinv;
g0[ib] += factor1 * rhatx + factor2 * Ylm_gx[lm] + factor3 * rhatx;
g1[ib] += factor1 * rhaty + factor2 * Ylm_gy[lm] + factor3 * rhaty;
g2[ib] += factor1 * rhatz + factor2 * Ylm_gz[lm] + factor3 * rhatz;
// laplacian
lapl[ib] += local_l * (cone - chalf * l_val) * (3 * Ylm_rescale + rhat_dot_G);
}
local_val += Npad;
local_grad += Npad;
local_lapl += Npad;
}
}
else
{
std::cout << "Warning: an electron is on top of an ion!" << std::endl;
// strictly zero
#pragma omp simd aligned(val, lapl, local_val, local_lapl)
for (size_t ib = 0; ib < myV.size(); ib++)
{
// value
val[ib] = Ylm_v[0] * local_val[ib];
// laplacian
lapl[ib] = local_lapl[ib] * static_cast<ST>(3) * Ylm_v[0];
}
local_val += Npad;
local_grad += Npad;
local_lapl += Npad;
if (lm_tot > 0)
{
//std::cout << std::endl;
for (size_t lm = 1; lm < 4; lm++)
{
#pragma omp simd aligned(g0, g1, g2, local_grad)
for (size_t ib = 0; ib < myV.size(); ib++)
{
const ST local_g = local_grad[ib];
// grad
g0[ib] += local_g * Ylm_gx[lm];
g1[ib] += local_g * Ylm_gy[lm];
g2[ib] += local_g * Ylm_gz[lm];
}
local_grad += Npad;
}
}
}
}
template<typename VV, typename GV, typename HT>
void evaluate_vgh(const ST& r, const PointType& dr, VV& myV, GV& myG, HT& myH)
{
//Needed to do tensor product here
APP_ABORT("AtomicOrbitals::evaluate_vgh");
}
};
template<typename ST>
class HybridRepCenterOrbitals
{
public:
static const int D = 3;
using PointType = typename AtomicOrbitals<ST>::PointType;
using RealType = typename DistanceTableData::RealType;
using PosType = typename DistanceTableData::PosType;
private:
///atomic centers
std::vector<AtomicOrbitals<ST>> AtomicCenters;
///table index
int myTableID;
///mapping supercell to primitive cell
std::vector<int> Super2Prim;
///r from distance table
RealType dist_r;
///dr from distance table
PosType dist_dr;
///for APBC
PointType r_image;
///smooth function value
RealType f;
///smooth function first derivative
RealType df_dr;
///smooth function second derivative
RealType d2f_dr2;
///smoothing schemes
enum class smoothing_schemes
{
CONSISTENT = 0,
SMOOTHALL,
SMOOTHPARTIAL
} smooth_scheme;
/// smoothing function
smoothing_functions smooth_func_id;
public:
HybridRepCenterOrbitals() {}
void set_info(const ParticleSet& ions, ParticleSet& els, const std::vector<int>& mapping)
{
myTableID = els.addTable(ions);
Super2Prim = mapping;
}
inline void resizeStorage(size_t Nb)
{
size_t SplineCoefsBytes = 0;
for (int ic = 0; ic < AtomicCenters.size(); ic++)
{
AtomicCenters[ic].resizeStorage(Nb);
SplineCoefsBytes += AtomicCenters[ic].getSplineSizeInBytes();
}
app_log() << "MEMORY " << SplineCoefsBytes / (1 << 20) << " MB allocated "
<< "for the atomic radial splines in hybrid orbital representation" << std::endl;
}
void bcast_tables(Communicate* comm)
{
for (int ic = 0; ic < AtomicCenters.size(); ic++)
AtomicCenters[ic].bcast_tables(comm);
}
void gather_atomic_tables(Communicate* comm, std::vector<int>& offset)
{
if (comm->size() == 1)
return;
for (int ic = 0; ic < AtomicCenters.size(); ic++)
AtomicCenters[ic].gather_tables(comm, offset);
}
inline void flush_zero()
{
for (int ic = 0; ic < AtomicCenters.size(); ic++)
AtomicCenters[ic].flush_zero();
}
bool read_splines(hdf_archive& h5f)
{
bool success = true;
size_t ncenter;
success = success && h5f.push("atomic_centers", false);
success = success && h5f.readEntry(ncenter, "number_of_centers");
if (!success)
return success;
if (ncenter != AtomicCenters.size())
success = false;
// read splines of each center
for (int ic = 0; ic < AtomicCenters.size(); ic++)
{
std::ostringstream gname;
gname << "center_" << ic;
success = success && h5f.push(gname.str().c_str(), false);
success = success && AtomicCenters[ic].read_splines(h5f);
h5f.pop();
}
h5f.pop();
return success;
}
bool write_splines(hdf_archive& h5f)
{
bool success = true;
int ncenter = AtomicCenters.size();
success = success && h5f.push("atomic_centers", true);
success = success && h5f.writeEntry(ncenter, "number_of_centers");
// write splines of each center
for (int ic = 0; ic < AtomicCenters.size(); ic++)
{
std::ostringstream gname;
gname << "center_" << ic;
success = success && h5f.push(gname.str().c_str(), true);
success = success && AtomicCenters[ic].write_splines(h5f);
h5f.pop();
}
h5f.pop();
return success;
}
template<typename Cell>
inline int get_bc_sign(const PointType& r, const Cell& PrimLattice, TinyVector<int, D>& HalfG)
{
int bc_sign = 0;
PointType shift_unit = PrimLattice.toUnit(r - r_image);
for (int i = 0; i < D; i++)
{
ST img = round(shift_unit[i]);
bc_sign += HalfG[i] * (int)img;
}
return bc_sign;
}
//evaluate only V
template<typename VV>
inline RealType evaluate_v(const ParticleSet& P, const int iat, VV& myV)
{
const auto& ei_dist = P.getDistTable(myTableID);
const int center_idx = ei_dist.get_first_neighbor(iat, dist_r, dist_dr, P.activePtcl == iat);
if (center_idx < 0)
abort();
auto& myCenter = AtomicCenters[Super2Prim[center_idx]];
if (dist_r < myCenter.getCutoff())
{
PointType dr(-dist_dr[0], -dist_dr[1], -dist_dr[2]);
r_image = myCenter.getCenterPos() + dr;
myCenter.evaluate_v(dist_r, dr, myV);
return smooth_function(myCenter.getCutoffBuffer(), myCenter.getCutoff(), dist_r);
}
return RealType(-1);
}
/* check if the batched algorithm is safe to operate
* @param VP virtual particle set
* @return true if it is safe
*
* When the reference electron in the NLPP evaluation has a distance larger than the non overlapping radius of the reference center.
* Some qudrature points may get its SPOs evaluated from the nearest center which is not the reference center.
* The batched algorthm forces the evaluation on the reference center and introduce some error.
* In this case, the non-batched algorithm should be used.
*/
bool is_batched_safe(const VirtualParticleSet& VP)
{
const int center_idx = VP.refSourcePtcl;
auto& myCenter = AtomicCenters[Super2Prim[center_idx]];
return VP.refPS.getDistTable(myTableID).getDistRow(VP.refPtcl)[center_idx] < myCenter.getNonOverlappingRadius();
}
// C2C, C2R cases
template<typename VM>
inline RealType evaluateValuesC2X(const VirtualParticleSet& VP, VM& multi_myV)
{
const int center_idx = VP.refSourcePtcl;
dist_r = VP.refPS.getDistTable(myTableID).getDistRow(VP.refPtcl)[center_idx];
auto& myCenter = AtomicCenters[Super2Prim[center_idx]];
if (dist_r < myCenter.getCutoff())
{
myCenter.evaluateValues(VP.getDistTable(myTableID).getDisplacements(), center_idx, dist_r, multi_myV);
return smooth_function(myCenter.getCutoffBuffer(), myCenter.getCutoff(), dist_r);
}
return RealType(-1);
}
// R2R case
template<typename VM, typename Cell, typename SV>
inline RealType evaluateValuesR2R(const VirtualParticleSet& VP,
const Cell& PrimLattice,
TinyVector<int, D>& HalfG,
VM& multi_myV,
SV& bc_signs)
{
const int center_idx = VP.refSourcePtcl;
dist_r = VP.refPS.getDistTable(myTableID).getDistRow(VP.refPtcl)[center_idx];
auto& myCenter = AtomicCenters[Super2Prim[center_idx]];
if (dist_r < myCenter.getCutoff())
{
const auto& displ = VP.getDistTable(myTableID).getDisplacements();
for (int ivp = 0; ivp < VP.getTotalNum(); ivp++)
{
r_image = myCenter.getCenterPos() - displ[ivp][center_idx];
bc_signs[ivp] = get_bc_sign(VP.R[ivp], PrimLattice, HalfG);
;
}
myCenter.evaluateValues(displ, center_idx, dist_r, multi_myV);
return smooth_function(myCenter.getCutoffBuffer(), myCenter.getCutoff(), dist_r);
}
return RealType(-1);
}
//evaluate only VGL
template<typename VV, typename GV>
inline RealType evaluate_vgl(const ParticleSet& P, const int iat, VV& myV, GV& myG, VV& myL)
{
const auto& ei_dist = P.getDistTable(myTableID);
const int center_idx = ei_dist.get_first_neighbor(iat, dist_r, dist_dr, P.activePtcl == iat);
if (center_idx < 0)
abort();
auto& myCenter = AtomicCenters[Super2Prim[center_idx]];
if (dist_r < myCenter.getCutoff())
{
PointType dr(-dist_dr[0], -dist_dr[1], -dist_dr[2]);
r_image = myCenter.getCenterPos() + dr;
myCenter.evaluate_vgl(dist_r, dr, myV, myG, myL);
return smooth_function(myCenter.getCutoffBuffer(), myCenter.getCutoff(), dist_r);
}
return RealType(-1);
}
//evaluate only VGH
template<typename VV, typename GV, typename HT>
inline RealType evaluate_vgh(const ParticleSet& P, const int iat, VV& myV, GV& myG, HT& myH)
{
const auto& ei_dist = P.getDistTable(myTableID);
const int center_idx = ei_dist.get_first_neighbor(iat, dist_r, dist_dr, P.activePtcl == iat);
if (center_idx < 0)
abort();
auto& myCenter = AtomicCenters[Super2Prim[center_idx]];
if (dist_r < myCenter.getCutoff())
{
PointType dr(-dist_dr[0], -dist_dr[1], -dist_dr[2]);
r_image = myCenter.getCenterPos() + dr;
myCenter.evaluate_vgh(dist_r, dr, myV, myG, myH);
return smooth_function(myCenter.getCutoffBuffer(), myCenter.getCutoff(), dist_r);
}
return RealType(-1);
}
// interpolate buffer region, value only
template<typename VV>
inline void interpolate_buffer_v(VV& psi, const VV& psi_AO) const
{
const RealType cone(1);
for (size_t i = 0; i < psi.size(); i++)
psi[i] = psi_AO[i] * f + psi[i] * (cone - f);
}
// interpolate buffer region, value, gradients and laplacian
template<typename VV, typename GV>
inline void interpolate_buffer_vgl(VV& psi,
GV& dpsi,
VV& d2psi,
const VV& psi_AO,
const GV& dpsi_AO,
const VV& d2psi_AO) const
{
const RealType cone(1), ctwo(2);
const RealType rinv(1.0 / dist_r);
if (smooth_scheme == smoothing_schemes::CONSISTENT)
for (size_t i = 0; i < psi.size(); i++)
{ // psi, dpsi, d2psi are all consistent
d2psi[i] = d2psi_AO[i] * f + d2psi[i] * (cone - f) + df_dr * rinv * ctwo * dot(dpsi[i] - dpsi_AO[i], dist_dr) +
(psi_AO[i] - psi[i]) * (d2f_dr2 + ctwo * rinv * df_dr);
dpsi[i] = dpsi_AO[i] * f + dpsi[i] * (cone - f) + df_dr * rinv * dist_dr * (psi[i] - psi_AO[i]);
psi[i] = psi_AO[i] * f + psi[i] * (cone - f);
}
else if (smooth_scheme == smoothing_schemes::SMOOTHALL)
for (size_t i = 0; i < psi.size(); i++)
{
d2psi[i] = d2psi_AO[i] * f + d2psi[i] * (cone - f);
dpsi[i] = dpsi_AO[i] * f + dpsi[i] * (cone - f);
psi[i] = psi_AO[i] * f + psi[i] * (cone - f);
}
else if (smooth_scheme == smoothing_schemes::SMOOTHPARTIAL)
for (size_t i = 0; i < psi.size(); i++)
{ // dpsi, d2psi are consistent but psi is not.
d2psi[i] = d2psi_AO[i] * f + d2psi[i] * (cone - f) + df_dr * rinv * ctwo * dot(dpsi[i] - dpsi_AO[i], dist_dr);
dpsi[i] = dpsi_AO[i] * f + dpsi[i] * (cone - f);
psi[i] = psi_AO[i] * f + psi[i] * (cone - f);
}
else
throw std::runtime_error("Unknown smooth scheme!");
}
inline RealType smooth_function(const ST& cutoff_buffer, const ST& cutoff, const RealType r)
{
const RealType cone(1);
if (r < cutoff_buffer)
return cone;
const RealType scale = cone / (cutoff - cutoff_buffer);
const RealType x = (r - cutoff_buffer) * scale;
f = smoothing(smooth_func_id, x, df_dr, d2f_dr2);
df_dr *= scale;
d2f_dr2 *= scale * scale;
return f;
}
template<class BSPLINESPO>
friend class HybridRepSetReader;
};
} // namespace qmcplusplus
#endif
|
packet-inl.h | /*!
* Copyright (c) 2014 by Contributors
* \file packet-inl.h
* \brief Generic packet vectorization code
*/
#ifndef MSHADOW_PACKET_INL_H_
#define MSHADOW_PACKET_INL_H_
#ifdef __APPLE__
#include <stdlib.h>
#else
#include <malloc.h>
#endif
#include "./base.h"
#include "./expression.h"
#include "./tensor.h"
namespace mshadow {
/*! \brief namespace of packet math*/
namespace packet {
enum PacketArch {
kPlain,
kSSE2,
};
#if MSHADOW_USE_SSE
#define MSHADOW_DEFAULT_PACKET ::mshadow::packet::kSSE2
#else
#define MSHADOW_DEFAULT_PACKET ::mshadow::packet::kPlain
#endif
// whether packet operator is enabled.
/*!
* \brief Generic packet type
* \tparam DType The data type of the packet.
* \tparam Arch the Arch of the packet.
*/
template <typename DType, PacketArch Arch = MSHADOW_DEFAULT_PACKET>
struct Packet;
template <PacketArch Arch>
struct AlignBytes {
static const index_t value = 4;
};
} // namespace packet
} // namespace mshadow
namespace mshadow {
namespace packet {
/*!
* \brief analog to cudaMallocPitch, allocate a aligned space with num_line *
* lspace cells \param out_pitch output parameter, the actuall space allocated
* for each line \param lspace number of cells required for each line \param
* num_line number of lines to be allocated
*/
inline void *AlignedMallocPitch(size_t *out_pitch, size_t lspace,
size_t num_line) {
const index_t bits = AlignBytes<MSHADOW_DEFAULT_PACKET>::value;
const index_t mask = (1 << bits) - 1;
size_t pitch = ((lspace + mask) >> bits) << bits;
*out_pitch = pitch;
#ifdef _MSC_VER
void *res = _aligned_malloc(pitch * num_line, 1 << bits);
#else
void *res;
int ret = posix_memalign(&res, 1 << bits, pitch * num_line);
CHECK_EQ(ret, 0) << "AlignedMallocPitch failed";
#endif
if (res == NULL) {
LOG(FATAL) << "AlignedMallocPitch failed";
}
return res;
}
/*!
* \brief free aligned space
* \param ptr pointer to space to be freed
*/
inline void AlignedFree(void *ptr) {
#ifdef _MSC_VER
_aligned_free(ptr);
#else
free(ptr);
#endif
}
/*! \brief check if a pointer is aligned */
template <PacketArch Arch>
inline bool CheckAlign(size_t pitch) {
const index_t bits = AlignBytes<Arch>::value;
return !(pitch & ((1 << bits) - 1));
}
/*! \brief check if a pointer is aligned */
template <PacketArch Arch>
inline bool CheckAlign(void *ptr) {
return CheckAlign<Arch>(reinterpret_cast<size_t>(ptr));
}
/*!
* \brief get upper bound of aligned index of size
* \param size size of the array
* \param fsize size of float
*/
template <typename DType, PacketArch Arch>
inline index_t UpperAlign(index_t size) {
const index_t bits = AlignBytes<MSHADOW_DEFAULT_PACKET>::value;
const index_t mask = (1 << bits) - 1;
const index_t fsize = sizeof(DType);
return (((size * fsize + mask) >> bits) << bits) / fsize;
}
/*!
* \brief get lower bound of aligned index of size
* \param size size of the array
* \param fsize size of float
*/
template <typename DType, PacketArch Arch>
inline index_t LowerAlign(index_t size) {
const index_t bits = AlignBytes<MSHADOW_DEFAULT_PACKET>::value;
const index_t fsize = sizeof(DType);
return (((size * fsize) >> bits) << bits) / fsize;
}
/*!
* \brief generic Packet operator
* \tparam OP The operator
* \tparam DType The data type
* \tparam Arch The architecture.
*/
template <typename OP, typename DType, PacketArch Arch>
struct PacketOp {
static const bool kEnabled = false;
};
// specialization of operators
template <typename DType, PacketArch Arch>
struct PacketOp<op::plus, DType, Arch> {
static const bool kEnabled = true;
MSHADOW_CINLINE static Packet<DType, Arch> Map(
const Packet<DType, Arch> &lhs, const Packet<DType, Arch> &rhs) {
return lhs + rhs;
}
};
template <typename DType, PacketArch Arch>
struct PacketOp<op::minus, DType, Arch> {
static const bool kEnabled = true;
MSHADOW_CINLINE static Packet<DType, Arch> Map(
const Packet<DType, Arch> &lhs, const Packet<DType, Arch> &rhs) {
return lhs - rhs;
}
};
template <typename DType, PacketArch Arch>
struct PacketOp<op::mul, DType, Arch> {
static const bool kEnabled = true;
MSHADOW_CINLINE static Packet<DType, Arch> Map(
const Packet<DType, Arch> &lhs, const Packet<DType, Arch> &rhs) {
return lhs * rhs;
}
};
template <typename DType, PacketArch Arch>
struct PacketOp<op::div, DType, Arch> {
static const bool kEnabled = true;
MSHADOW_CINLINE static Packet<DType, Arch> Map(
const Packet<DType, Arch> &lhs, const Packet<DType, Arch> &rhs) {
return lhs / rhs;
}
};
template <typename DType, PacketArch Arch>
struct PacketOp<op::identity, DType, Arch> {
static const bool kEnabled = true;
MSHADOW_CINLINE static Packet<DType, Arch> Map(
const Packet<DType, Arch> &src) {
return src;
}
};
// savers to do storage
template <typename SV, typename TFloat, PacketArch Arch>
struct Saver {
MSHADOW_CINLINE static void Save(TFloat *dst,
const Packet<TFloat, Arch> &src) {
Packet<TFloat, Arch> lhs = Packet<TFloat, Arch>::Load(dst);
Packet<TFloat, Arch> ans =
PacketOp<typename SV::OPType, TFloat, Arch>::Map(lhs, src);
ans.Store(dst);
}
};
template <typename TFloat, PacketArch Arch>
struct Saver<sv::saveto, TFloat, Arch> {
MSHADOW_CINLINE static void Save(TFloat *dst,
const Packet<TFloat, Arch> &src) {
src.Store(dst);
}
};
} // namespace packet
} // namespace mshadow
#include "packet/plain-inl.h"
#if MSHADOW_USE_SSE && !defined(__CUDACC__)
#include "packet/sse-inl.h"
#endif
namespace mshadow {
namespace expr {
typedef packet::PacketArch PacketArch;
// same as plan, but use packet
template <typename ExpType, typename DType, PacketArch Arch>
class PacketPlan {
public:
/*!
* \brief evaluate the expression at index [y][x],
* x will be aligned to Packet<DType, Arch>::Size()
*/
MSHADOW_CINLINE packet::Packet<DType, Arch> EvalPacket(index_t y,
index_t x) const;
MSHADOW_CINLINE DType Eval(index_t y, index_t x) const;
};
template <typename Device, int dim, typename DType, PacketArch Arch>
class PacketPlan<Tensor<Device, dim, DType>, DType, Arch> {
public:
explicit PacketPlan(const Tensor<Device, dim, DType> &t)
: dptr_(t.dptr_), stride_(t.stride_) {}
MSHADOW_CINLINE packet::Packet<DType, Arch> EvalPacket(index_t y,
index_t x) const {
return packet::Packet<DType, Arch>::Load(&dptr_[y * stride_ + x]);
}
MSHADOW_CINLINE DType Eval(index_t y, index_t x) const {
return dptr_[y * stride_ + x];
}
private:
const DType *dptr_;
index_t stride_;
};
template <typename DType, PacketArch Arch>
class PacketPlan<ScalarExp<DType>, DType, Arch> {
public:
explicit PacketPlan(DType scalar) : scalar_(scalar) {}
MSHADOW_CINLINE packet::Packet<DType, Arch> EvalPacket(index_t y,
index_t x) const {
return packet::Packet<DType, Arch>::Fill(scalar_);
}
MSHADOW_CINLINE DType Eval(index_t y, index_t x) const { return scalar_; }
private:
DType scalar_;
};
template <typename OP, typename TA, typename TB, int etype, typename DType,
PacketArch Arch>
class PacketPlan<BinaryMapExp<OP, TA, TB, DType, etype>, DType, Arch> {
public:
PacketPlan(const PacketPlan<TA, DType, Arch> &lhs,
const PacketPlan<TB, DType, Arch> &rhs)
: lhs_(lhs), rhs_(rhs) {}
MSHADOW_CINLINE packet::Packet<DType, Arch> EvalPacket(index_t y,
index_t x) const {
return packet::PacketOp<OP, DType, Arch>::Map(lhs_.EvalPacket(y, x),
rhs_.EvalPacket(y, x));
}
MSHADOW_CINLINE DType Eval(index_t y, index_t x) const {
return OP::Map(lhs_.Eval(y, x), rhs_.Eval(y, x));
}
private:
PacketPlan<TA, DType, Arch> lhs_;
PacketPlan<TB, DType, Arch> rhs_;
};
template <typename OP, typename TA, int etype, typename DType, PacketArch Arch>
class PacketPlan<UnaryMapExp<OP, TA, DType, etype>, DType, Arch> {
public:
PacketPlan(const PacketPlan<TA, DType, Arch> &src) : src_(src) {}
MSHADOW_CINLINE packet::Packet<DType> EvalPacket(index_t y, index_t x) const {
return packet::PacketOp<OP, DType, Arch>::Map(src_.EvalPacket(y, x));
}
MSHADOW_CINLINE DType Eval(index_t y, index_t x) const {
return OP::Map(src_.Eval(y, x));
}
private:
PacketPlan<TA, DType, Arch> src_;
};
template <PacketArch Arch, typename OP, typename TA, typename TB,
typename DType, int etype>
inline PacketPlan<BinaryMapExp<OP, TA, TB, DType, etype>, DType, Arch>
MakePacketPlan(const BinaryMapExp<OP, TA, TB, DType, etype> &e);
template <PacketArch Arch, typename DType>
inline PacketPlan<ScalarExp<DType>, DType, Arch> MakePacketPlan(
const ScalarExp<DType> &e) {
return PacketPlan<ScalarExp<DType>, DType, Arch>(e.scalar_);
}
template <PacketArch Arch, typename T, typename DType>
inline PacketPlan<T, DType, Arch> MakePacketPlan(const RValueExp<T, DType> &e) {
return PacketPlan<T, DType, Arch>(e.self());
}
template <PacketArch Arch, typename T, int dim, typename DType>
inline PacketPlan<T, DType, Arch> MakePacketPlan(
const MakeTensorExp<T, cpu, dim, DType> &e) {
return PacketPlan<T, DType, Arch>(e.real_self());
}
template <PacketArch Arch, typename OP, typename TA, typename DType, int etype>
inline PacketPlan<UnaryMapExp<OP, TA, DType, etype>, DType, Arch>
MakePacketPlan(const UnaryMapExp<OP, TA, DType, etype> &e) {
return PacketPlan<UnaryMapExp<OP, TA, DType, etype>, DType, Arch>(
MakePacketPlan<Arch>(e.src_));
}
template <PacketArch Arch, typename OP, typename TA, typename TB,
typename DType, int etype>
inline PacketPlan<BinaryMapExp<OP, TA, TB, DType, etype>, DType, Arch>
MakePacketPlan(const BinaryMapExp<OP, TA, TB, DType, etype> &e) {
return PacketPlan<BinaryMapExp<OP, TA, TB, DType, etype>, DType, Arch>(
MakePacketPlan<Arch>(e.lhs_), MakePacketPlan<Arch>(e.rhs_));
}
/*!
* \brief static check packet enable
*
* \tparam Device the type of Device
* \tparam dim dimension of the tensor
* \tparam E expression
*/
template <typename E, PacketArch Arch>
struct PacketCheck {
static const bool kPass = false;
};
template <PacketArch Arch>
struct PacketCheck<float, Arch> {
static const bool kPass = true;
};
template <PacketArch Arch>
struct PacketCheck<double, Arch> {
static const bool kPass = true;
};
template <typename DType, PacketArch Arch>
struct PacketCheck<ScalarExp<DType>, Arch> {
static const bool kPass = PacketCheck<DType, Arch>::kPass;
};
template <int dim, typename DType, PacketArch Arch>
struct PacketCheck<Tensor<cpu, dim, DType>, Arch> {
static const bool kPass = PacketCheck<DType, Arch>::kPass;
};
template <typename OP, typename TA, typename DType, int etype, PacketArch Arch>
struct PacketCheck<UnaryMapExp<OP, TA, DType, etype>, Arch> {
static const bool kPass = PacketCheck<TA, Arch>::kPass &&
packet::PacketOp<OP, DType, Arch>::kEnabled;
};
template <typename OP, typename TA, typename TB, typename DType, int etype,
PacketArch Arch>
struct PacketCheck<BinaryMapExp<OP, TA, TB, DType, etype>, Arch> {
static const bool kPass = packet::PacketOp<OP, DType, Arch>::kEnabled &&
PacketCheck<TA, Arch>::kPass &&
PacketCheck<TB, Arch>::kPass;
};
//----------------------------------------------------
// Check if data is aligned and allow packet operation
//----------------------------------------------------
template <int dim, typename E, PacketArch Arch>
struct PacketAlignCheck {
inline static bool Check(const E &exp) { return false; }
};
template <int dim, typename DType, PacketArch Arch>
struct PacketAlignCheck<dim, ScalarExp<DType>, Arch> {
inline static bool Check(const ScalarExp<DType> &exp) { return true; }
};
template <int dim, typename DType, PacketArch Arch>
struct PacketAlignCheck<dim, Tensor<cpu, dim, DType>, Arch> {
inline static bool Check(const Tensor<cpu, dim, DType> &t) {
return packet::CheckAlign<Arch>(t.dptr_) &&
packet::CheckAlign<Arch>(t.stride_ * sizeof(DType));
}
};
template <int dim, typename OP, typename TA, typename DType, int etype,
PacketArch Arch>
struct PacketAlignCheck<dim, UnaryMapExp<OP, TA, DType, etype>, Arch> {
inline static bool Check(const UnaryMapExp<OP, TA, DType, etype> &t) {
return PacketAlignCheck<dim, TA, Arch>::Check(t.src_);
}
};
template <int dim, typename OP, typename TA, typename TB, typename DType,
int etype, PacketArch Arch>
struct PacketAlignCheck<dim, BinaryMapExp<OP, TA, TB, DType, etype>, Arch> {
inline static bool Check(const BinaryMapExp<OP, TA, TB, DType, etype> &t) {
return PacketAlignCheck<dim, TA, Arch>::Check(t.lhs_) &&
PacketAlignCheck<dim, TB, Arch>::Check(t.rhs_);
}
};
/*!
* \brief use PacketPlan to compute result
*/
template <typename SV, typename E, int dim, typename DType, PacketArch Arch>
inline void MapPacketPlan(Tensor<cpu, dim, DType> _dst,
const expr::PacketPlan<E, DType, Arch> &plan) {
Tensor<cpu, 2, DType> dst = _dst.FlatTo2D();
const index_t xlen = packet::LowerAlign<DType, Arch>(dst.size(1));
const size_t packetSize = packet::Packet<DType, Arch>::size;
#ifndef __CUDACC__
#pragma omp parallel for
#endif
for (openmp_index_t y = 0; y < dst.size(0); ++y) {
for (index_t x = 0; x < xlen; x += packetSize) {
packet::Saver<SV, DType, Arch>::Save(&dst[y][x], plan.EvalPacket(y, x));
}
for (index_t x = xlen; x < dst.size(1); ++x) {
SV::Save(dst[y][x], plan.Eval(y, x));
}
}
}
} // namespace expr
} // namespace mshadow
#endif // MSHADOW_PACKET_INL_H_
|
falcon.c | #include <stdio.h>
#include <stdlib.h>
#include <omp.h>
#include <mkl.h>
#include <string.h>
#include <hbwmalloc.h>
#include <assert.h>
#include <falcon.h>
const long MAX_TILES = (MAX_IROWS-2)*(MAX_IROWS-2)*0.25;
// STRIDE is the max image*C*batch for image
const long STRIDE = (MAX_BATCH)*(MAX_IMAGE_CHANNELS+18)*(MAX_TILES+13);
// FSTRIDE is the max C*K for filter
const long FSTRIDE = (MAX_FILTER_CHANNELS+1)*(MAX_FILTERS+1);
float* t_filter;
float* t_image;
float* c_out;
// setup scratch memory used in the algorithm
void falcon_init_lib(){
int ret;
ret = hbw_posix_memalign((void*)&t_filter, 64, 16*FSTRIDE*sizeof(float));
assert(t_filter != NULL);
ret = hbw_posix_memalign((void*)&t_image, 64, 16*STRIDE*sizeof(float));
assert(t_image != NULL);
ret = hbw_posix_memalign((void*)&c_out, 64, 16*STRIDE*sizeof(float));
assert(c_out != NULL);
}
// free up the scratch pad
void falcon_free_lib(){
hbw_free(t_filter);
hbw_free(t_image);
hbw_free(c_out);
}
// INTERNAL FUNCTION : FORM MATRIX A from input data, also includes transformation
static void get_tiles(const float* restrict image, const int ldi, const int irows, const int sizeI, const int C, float* restrict otile, const int N, const int ntiles){
int t, u;
#pragma omp parallel for
for(t = 0; t < N*C; t++){
int i, j, x;
float tmp[16] __attribute__((aligned(64)));
float s[16] __attribute__((aligned(64)));
const float* data = image+t*sizeI;
int tile_count = t*ntiles;
// work on one image plane at a time, irrespective of the order
for(i = 0; i < irows-2; i += 2){
#pragma unroll(4)
for(j = 0; j < (irows-2); j += 2){
tmp[0 :4] =data[(i+0)*ldi+j:4];
tmp[4 :4] =data[(i+1)*ldi+j:4];
tmp[8 :4] =data[(i+2)*ldi+j:4];
tmp[12:4] =data[(i+3)*ldi+j:4];
// The tranformation manually simplified
s[0 ] =(tmp[0] - tmp[8 ]) - (tmp[2 ]- tmp[10]);
s[1 ] =(tmp[1] - tmp[9 ]) + (tmp[2 ]- tmp[10]);
s[2 ] =(tmp[2] - tmp[10]) - (tmp[1 ]- tmp[9 ]);
s[3 ] =(tmp[1] - tmp[9 ]) - (tmp[3 ]- tmp[11]);
s[4 ] =(tmp[4] + tmp[8 ]) - (tmp[6 ]+ tmp[10]);
s[5 ] =(tmp[5] + tmp[9 ]) + (tmp[6 ]+ tmp[10]);
s[6 ] =(tmp[6] + tmp[10]) - (tmp[5 ]+ tmp[9 ]);
s[7 ] =(tmp[5] + tmp[9 ]) - (tmp[7 ]+ tmp[11]);
s[8 ] =(tmp[8] - tmp[4 ]) - (tmp[10]- tmp[6 ]);
s[9 ] =(tmp[9] - tmp[5 ]) + (tmp[10]- tmp[6 ]);
s[10] =(tmp[10]- tmp[6 ]) - (tmp[9 ]- tmp[5 ]);
s[11] =(tmp[9] - tmp[5 ]) - (tmp[11]- tmp[7 ]);
s[12] =(tmp[4] - tmp[12]) - (tmp[6 ]- tmp[14]);
s[13] =(tmp[5] - tmp[13]) + (tmp[6 ]- tmp[14]);
s[14] =(tmp[6] - tmp[14]) - (tmp[5 ]- tmp[13]);
s[15] =(tmp[5] - tmp[13]) - (tmp[7 ]- tmp[15]);
// manually unrolled scatter to get max performance
otile[tile_count+0*STRIDE ] = s[0 ];
otile[tile_count+1*STRIDE ] = s[1 ];
otile[tile_count+2*STRIDE ] = s[2 ];
otile[tile_count+3*STRIDE ] = s[3 ];
otile[tile_count+4*STRIDE ] = s[4 ];
otile[tile_count+5*STRIDE ] = s[5 ];
otile[tile_count+6*STRIDE ] = s[6 ];
otile[tile_count+7*STRIDE ] = s[7 ];
otile[tile_count+8*STRIDE ] = s[8 ];
otile[tile_count+9*STRIDE ] = s[9 ];
otile[tile_count+10*STRIDE] = s[10];
otile[tile_count+11*STRIDE] = s[11];
otile[tile_count+12*STRIDE] = s[12];
otile[tile_count+13*STRIDE] = s[13];
otile[tile_count+14*STRIDE] = s[14];
otile[tile_count+15*STRIDE] = s[15];
tile_count++;
}
}
}
}
// INTERNAL FUNCTION: FORM MATRIX B, also includes filter transform
static void filter_transform(const float* restrict filter, const int C, const int K, float* restrict out){
int m, n, x;
const float *F;
#pragma omp parallel for collapse(2) private(m, n, x, F)
for(m = 0; m < K; m++){
for(n = 0; n < C; n++){
float c1[16] __attribute__((aligned(64)));
F = filter+n*3*3 + m*3*3*C;
// work on in 3x3 plane at a time
// The tranformation manually simplified
c1[0] = F[0];
c1[1] = (F[0]+F[2]+F[1])*0.5f;
c1[2] = (F[0]+F[2]-F[1])*0.5f;
c1[3] = F[2];
c1[4] = (F[0]+F[6]+F[3])*0.5f;
c1[5] = ((F[0]+F[6]+F[3])+(F[2]+F[8]+F[5])+(F[1]+F[7]+F[4]))*0.25f;
c1[6] = ((F[0]+F[6]+F[3])+(F[2]+F[8]+F[5])-(F[1]+F[7]+F[4]))*0.25f;
c1[7] = (F[2]+F[8]+F[5])*0.5f;
c1[8] = (F[0]+F[6]-F[3])*0.5f;
c1[9] = ((F[0]+F[6]-F[3])+(F[2]+F[8]-F[5])+(F[1]+F[7]-F[4]))*0.25f;
c1[10] = ((F[0]+F[6]-F[3])+(F[2]+F[8]-F[5])-(F[1]+F[7]-F[4]))*0.25f;
c1[11] = (F[2]+F[8]-F[5])*0.5f;
c1[12] = F[6];
c1[13] = (F[6]+F[8]+F[7])*0.5f;
c1[14] = (F[6]+F[8]-F[7])*0.5f;
c1[15] = F[8];
// scatter
#pragma unroll(16)
for(x = 0; x < 16; x++){
out[x*FSTRIDE+m*C+n] = c1[x];
}
}
}
}
// INTERNAL FUNCTION
// GEMM specific to Ist layer of VGG with (M, N, K) = (12544, 64, 3)
// MKL performs bad
static void gemm_ker(int m, int n, int k, const float* a, const int lda, const float* b, const int ldb, float* c, const int ldc){
const int BLK = 16;
int x, xx, y, z, i;
for(z = 0; z < n; z++){
for(x = 0; x < m; x += BLK){
float p[BLK] __attribute__((aligned(64)));
p[0:BLK] = 0.0f;
#pragma unroll(3)
for(y = 0; y < 3; y++){
#pragma vector aligned
for(i = 0; i < BLK; i++){
p[i] += a[x+i+y*lda]*b[y+z*ldb];
}
}
c[x+z*ldc:BLK] = p[0:BLK];
}
}
}
// INTERNAL FUNCTION
// C = A*B with beta = 0.0f and alpha = 1.0f
// Number of gemm calls is 16*BATCH
static void batched_gemm(const float* restrict image, const int irows, const int icols, const float* restrict filter, const int frows, const int fcols, float* restrict out, const int batch){
int t, i;
const char trans ='n';
const float alpha = 1.0;
const float beta = 0.0;
const int ldi = irows;
const int ldf = frows;
const int ldo = irows;
#pragma omp parallel for collapse(2) private(t, i)
for(i = 0; i < 16; i++){
for(t = 0; t < batch; t++){
const float* im = image+i*STRIDE+t*irows*icols;
const float* fi = filter+i*FSTRIDE;
float* ot = out+i*STRIDE+t*irows*fcols;
if(icols == 3) gemm_ker(irows, fcols, icols, im, ldi, fi, ldf, ot, ldo);
else sgemm(&trans, &trans, &irows, &fcols, &icols, &alpha, im, &ldi, fi, &ldf, &beta, ot, &ldo);
}
}
}
static void out_transform(const float* restrict d, const int K, const int ntiles, float* restrict out, const int ldo, const int oH, const int oW, const int N){
int t;
int sizeO = oH*oW;
#pragma omp parallel for
for(t = 0; t < N*K; t++){
float c1[16] __attribute__((aligned(64)));
float temp[8] __attribute__((aligned(64)));
float c2[4] __attribute__((aligned(64)));
float* data = out +t*sizeO;
int tile_offset = t*ntiles;
int i, j;
// work on one output plane at a time, irrespective of the order
for(i = 0; i < oH; i += 2){
for(j = 0; j < oW; j += 2){
// gather the 16 elements form C to form a tile
c1[0 ] = d[tile_offset+0 *STRIDE];
c1[1 ] = d[tile_offset+1 *STRIDE];
c1[2 ] = d[tile_offset+2 *STRIDE];
c1[3 ] = d[tile_offset+3 *STRIDE];
c1[4 ] = d[tile_offset+4 *STRIDE];
c1[5 ] = d[tile_offset+5 *STRIDE];
c1[6 ] = d[tile_offset+6 *STRIDE];
c1[7 ] = d[tile_offset+7 *STRIDE];
c1[8 ] = d[tile_offset+8 *STRIDE];
c1[9 ] = d[tile_offset+9 *STRIDE];
c1[10] = d[tile_offset+10*STRIDE];
c1[11] = d[tile_offset+11*STRIDE];
c1[12] = d[tile_offset+12*STRIDE];
c1[13] = d[tile_offset+13*STRIDE];
c1[14] = d[tile_offset+14*STRIDE];
c1[15] = d[tile_offset+15*STRIDE];
// The tranformation manually simplified
temp[0] = c1[0]+c1[1]+ c1[2];
temp[1] = c1[1]-c1[2]- c1[3];
temp[2] = c1[4]+c1[5]+ c1[6];
temp[3] = c1[5]-c1[6]- c1[7];
temp[4] = c1[8]+c1[9]+ c1[10];
temp[5] = c1[9]-c1[10]- c1[11];
temp[6] = c1[12]+c1[13]+ c1[14];
temp[7] = c1[13]-c1[14]- c1[15];
c2[0] = temp[0]+temp[2]+temp[4];
c2[1] = temp[1]+temp[3]+temp[5];
c2[2] = temp[2]-temp[4]-temp[6];
c2[3] = temp[3]-temp[5]-temp[7];
data[i*ldo+j] =c2[0];
data[i*ldo+j+1] =c2[1];
data[(i+1)*ldo+j] = c2[2];
data[(i+1)*ldo+j+1] = c2[3];
tile_offset++;
}
}
}
}
void fal_conv(const int M, float* restrict image, const int irows, const int C, float* restrict filter, const int K, const int batch, float* restrict out){
const int outHeight = irows-2;
const int outWidth = irows-2;
const int sizeI = irows*irows;
const int tiles = (outHeight)*0.5*(outWidth)*0.5;
filter_transform(filter, C, K, t_filter);
get_tiles(image, irows, irows, sizeI, C, t_image, batch, tiles);
batched_gemm(t_image, M*tiles, C, t_filter, C, K, c_out, batch/M);
out_transform(c_out, K, tiles, out, outWidth, outHeight, outWidth, batch);
}
|
GB_unop__sinh_fp64_fp64.c | //------------------------------------------------------------------------------
// GB_unop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_atomics.h"
#include "GB_unop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB (_unop_apply__sinh_fp64_fp64)
// op(A') function: GB (_unop_tran__sinh_fp64_fp64)
// C type: double
// A type: double
// cast: double cij = aij
// unaryop: cij = sinh (aij)
#define GB_ATYPE \
double
#define GB_CTYPE \
double
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
double aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = sinh (x) ;
// casting
#define GB_CAST(z, aij) \
double z = aij ;
// cij = op (aij)
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
double aij = Ax [pA] ; \
/* Cx [pC] = op (cast (aij)) */ \
double z = aij ; \
Cx [pC] = sinh (z) ; \
}
// true if operator is the identity op with no typecasting
#define GB_OP_IS_IDENTITY_WITH_NO_TYPECAST \
0
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_SINH || GxB_NO_FP64)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_apply__sinh_fp64_fp64)
(
double *Cx, // Cx and Ax may be aliased
const double *Ax,
const int8_t *restrict Ab, // A->b if A is bitmap
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
// TODO: if OP is ONE and uniform-valued matrices are exploited, then
// do this in O(1) time
if (Ab == NULL)
{
#if ( GB_OP_IS_IDENTITY_WITH_NO_TYPECAST )
GB_memcpy (Cx, Ax, anz * sizeof (double), nthreads) ;
#else
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
double aij = Ax [p] ;
double z = aij ;
Cx [p] = sinh (z) ;
}
#endif
}
else
{
// bitmap case, no transpose; A->b already memcpy'd into C->b
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!Ab [p]) continue ;
double aij = Ax [p] ;
double z = aij ;
Cx [p] = sinh (z) ;
}
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_tran__sinh_fp64_fp64)
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
quantize.c | /*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% QQQ U U AAA N N TTTTT IIIII ZZZZZ EEEEE %
% Q Q U U A A NN N T I ZZ E %
% Q Q U U AAAAA N N N T I ZZZ EEEEE %
% Q QQ U U A A N NN T I ZZ E %
% QQQQ UUU A A N N T IIIII ZZZZZ EEEEE %
% %
% %
% MagickCore Methods to Reduce the Number of Unique Colors in an Image %
% %
% Software Design %
% Cristy %
% July 1992 %
% %
% %
% Copyright 1999-2019 ImageMagick Studio LLC, a non-profit organization %
% dedicated to making software imaging solutions freely available. %
% %
% You may not use this file except in compliance with the License. You may %
% obtain a copy of the License at %
% %
% https://imagemagick.org/script/license.php %
% %
% Unless required by applicable law or agreed to in writing, software %
% distributed under the License is distributed on an "AS IS" BASIS, %
% WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. %
% See the License for the specific language governing permissions and %
% limitations under the License. %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Realism in computer graphics typically requires using 24 bits/pixel to
% generate an image. Yet many graphic display devices do not contain the
% amount of memory necessary to match the spatial and color resolution of
% the human eye. The Quantize methods takes a 24 bit image and reduces
% the number of colors so it can be displayed on raster device with less
% bits per pixel. In most instances, the quantized image closely
% resembles the original reference image.
%
% A reduction of colors in an image is also desirable for image
% transmission and real-time animation.
%
% QuantizeImage() takes a standard RGB or monochrome images and quantizes
% them down to some fixed number of colors.
%
% For purposes of color allocation, an image is a set of n pixels, where
% each pixel is a point in RGB space. RGB space is a 3-dimensional
% vector space, and each pixel, Pi, is defined by an ordered triple of
% red, green, and blue coordinates, (Ri, Gi, Bi).
%
% Each primary color component (red, green, or blue) represents an
% intensity which varies linearly from 0 to a maximum value, Cmax, which
% corresponds to full saturation of that color. Color allocation is
% defined over a domain consisting of the cube in RGB space with opposite
% vertices at (0,0,0) and (Cmax, Cmax, Cmax). QUANTIZE requires Cmax =
% 255.
%
% The algorithm maps this domain onto a tree in which each node
% represents a cube within that domain. In the following discussion
% these cubes are defined by the coordinate of two opposite vertices (vertex
% nearest the origin in RGB space and the vertex farthest from the origin).
%
% The tree's root node represents the entire domain, (0,0,0) through
% (Cmax,Cmax,Cmax). Each lower level in the tree is generated by
% subdividing one node's cube into eight smaller cubes of equal size.
% This corresponds to bisecting the parent cube with planes passing
% through the midpoints of each edge.
%
% The basic algorithm operates in three phases: Classification,
% Reduction, and Assignment. Classification builds a color description
% tree for the image. Reduction collapses the tree until the number it
% represents, at most, the number of colors desired in the output image.
% Assignment defines the output image's color map and sets each pixel's
% color by restorage_class in the reduced tree. Our goal is to minimize
% the numerical discrepancies between the original colors and quantized
% colors (quantization error).
%
% Classification begins by initializing a color description tree of
% sufficient depth to represent each possible input color in a leaf.
% However, it is impractical to generate a fully-formed color description
% tree in the storage_class phase for realistic values of Cmax. If
% colors components in the input image are quantized to k-bit precision,
% so that Cmax= 2k-1, the tree would need k levels below the root node to
% allow representing each possible input color in a leaf. This becomes
% prohibitive because the tree's total number of nodes is 1 +
% sum(i=1, k, 8k).
%
% A complete tree would require 19,173,961 nodes for k = 8, Cmax = 255.
% Therefore, to avoid building a fully populated tree, QUANTIZE: (1)
% Initializes data structures for nodes only as they are needed; (2)
% Chooses a maximum depth for the tree as a function of the desired
% number of colors in the output image (currently log2(colormap size)).
%
% For each pixel in the input image, storage_class scans downward from
% the root of the color description tree. At each level of the tree it
% identifies the single node which represents a cube in RGB space
% containing the pixel's color. It updates the following data for each
% such node:
%
% n1: Number of pixels whose color is contained in the RGB cube which
% this node represents;
%
% n2: Number of pixels whose color is not represented in a node at
% lower depth in the tree; initially, n2 = 0 for all nodes except
% leaves of the tree.
%
% Sr, Sg, Sb: Sums of the red, green, and blue component values for all
% pixels not classified at a lower depth. The combination of these sums
% and n2 will ultimately characterize the mean color of a set of pixels
% represented by this node.
%
% E: the distance squared in RGB space between each pixel contained
% within a node and the nodes' center. This represents the
% quantization error for a node.
%
% Reduction repeatedly prunes the tree until the number of nodes with n2
% > 0 is less than or equal to the maximum number of colors allowed in
% the output image. On any given iteration over the tree, it selects
% those nodes whose E count is minimal for pruning and merges their color
% statistics upward. It uses a pruning threshold, Ep, to govern node
% selection as follows:
%
% Ep = 0
% while number of nodes with (n2 > 0) > required maximum number of colors
% prune all nodes such that E <= Ep
% Set Ep to minimum E in remaining nodes
%
% This has the effect of minimizing any quantization error when merging
% two nodes together.
%
% When a node to be pruned has offspring, the pruning procedure invokes
% itself recursively in order to prune the tree from the leaves upward.
% n2, Sr, Sg, and Sb in a node being pruned are always added to the
% corresponding data in that node's parent. This retains the pruned
% node's color characteristics for later averaging.
%
% For each node, n2 pixels exist for which that node represents the
% smallest volume in RGB space containing those pixel's colors. When n2
% > 0 the node will uniquely define a color in the output image. At the
% beginning of reduction, n2 = 0 for all nodes except a the leaves of
% the tree which represent colors present in the input image.
%
% The other pixel count, n1, indicates the total number of colors within
% the cubic volume which the node represents. This includes n1 - n2
% pixels whose colors should be defined by nodes at a lower level in the
% tree.
%
% Assignment generates the output image from the pruned tree. The output
% image consists of two parts: (1) A color map, which is an array of
% color descriptions (RGB triples) for each color present in the output
% image; (2) A pixel array, which represents each pixel as an index
% into the color map array.
%
% First, the assignment phase makes one pass over the pruned color
% description tree to establish the image's color map. For each node
% with n2 > 0, it divides Sr, Sg, and Sb by n2 . This produces the mean
% color of all pixels that classify no lower than this node. Each of
% these colors becomes an entry in the color map.
%
% Finally, the assignment phase reclassifies each pixel in the pruned
% tree to identify the deepest node containing the pixel's color. The
% pixel's value in the pixel array becomes the index of this node's mean
% color in the color map.
%
% This method is based on a similar algorithm written by Paul Raveling.
%
*/
/*
Include declarations.
*/
#include "MagickCore/studio.h"
#include "MagickCore/artifact.h"
#include "MagickCore/attribute.h"
#include "MagickCore/cache-view.h"
#include "MagickCore/color.h"
#include "MagickCore/color-private.h"
#include "MagickCore/colormap.h"
#include "MagickCore/colorspace.h"
#include "MagickCore/colorspace-private.h"
#include "MagickCore/enhance.h"
#include "MagickCore/exception.h"
#include "MagickCore/exception-private.h"
#include "MagickCore/histogram.h"
#include "MagickCore/image.h"
#include "MagickCore/image-private.h"
#include "MagickCore/list.h"
#include "MagickCore/memory_.h"
#include "MagickCore/memory-private.h"
#include "MagickCore/monitor.h"
#include "MagickCore/monitor-private.h"
#include "MagickCore/option.h"
#include "MagickCore/pixel-accessor.h"
#include "MagickCore/pixel-private.h"
#include "MagickCore/quantize.h"
#include "MagickCore/quantum.h"
#include "MagickCore/quantum-private.h"
#include "MagickCore/resource_.h"
#include "MagickCore/string_.h"
#include "MagickCore/string-private.h"
#include "MagickCore/thread-private.h"
/*
Define declarations.
*/
#if !defined(__APPLE__) && !defined(TARGET_OS_IPHONE)
#define CacheShift 2
#else
#define CacheShift 3
#endif
#define ErrorQueueLength 16
#define MaxNodes 266817
#define MaxTreeDepth 8
#define NodesInAList 1920
/*
Typdef declarations.
*/
typedef struct _DoublePixelPacket
{
double
red,
green,
blue,
alpha;
} DoublePixelPacket;
typedef struct _NodeInfo
{
struct _NodeInfo
*parent,
*child[16];
MagickSizeType
number_unique;
DoublePixelPacket
total_color;
double
quantize_error;
size_t
color_number,
id,
level;
} NodeInfo;
typedef struct _Nodes
{
NodeInfo
*nodes;
struct _Nodes
*next;
} Nodes;
typedef struct _CubeInfo
{
NodeInfo
*root;
size_t
colors,
maximum_colors;
ssize_t
transparent_index;
MagickSizeType
transparent_pixels;
DoublePixelPacket
target;
double
distance,
pruning_threshold,
next_threshold;
size_t
nodes,
free_nodes,
color_number;
NodeInfo
*next_node;
Nodes
*node_queue;
MemoryInfo
*memory_info;
ssize_t
*cache;
DoublePixelPacket
error[ErrorQueueLength];
double
weights[ErrorQueueLength];
QuantizeInfo
*quantize_info;
MagickBooleanType
associate_alpha;
ssize_t
x,
y;
size_t
depth;
MagickOffsetType
offset;
MagickSizeType
span;
} CubeInfo;
/*
Method prototypes.
*/
static CubeInfo
*GetCubeInfo(const QuantizeInfo *,const size_t,const size_t);
static NodeInfo
*GetNodeInfo(CubeInfo *,const size_t,const size_t,NodeInfo *);
static MagickBooleanType
AssignImageColors(Image *,CubeInfo *,ExceptionInfo *),
ClassifyImageColors(CubeInfo *,const Image *,ExceptionInfo *),
DitherImage(Image *,CubeInfo *,ExceptionInfo *),
SetGrayscaleImage(Image *,ExceptionInfo *);
static size_t
DefineImageColormap(Image *,CubeInfo *,NodeInfo *);
static void
ClosestColor(const Image *,CubeInfo *,const NodeInfo *),
DestroyCubeInfo(CubeInfo *),
PruneLevel(CubeInfo *,const NodeInfo *),
PruneToCubeDepth(CubeInfo *,const NodeInfo *),
ReduceImageColors(const Image *,CubeInfo *);
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A c q u i r e Q u a n t i z e I n f o %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AcquireQuantizeInfo() allocates the QuantizeInfo structure.
%
% The format of the AcquireQuantizeInfo method is:
%
% QuantizeInfo *AcquireQuantizeInfo(const ImageInfo *image_info)
%
% A description of each parameter follows:
%
% o image_info: the image info.
%
*/
MagickExport QuantizeInfo *AcquireQuantizeInfo(const ImageInfo *image_info)
{
QuantizeInfo
*quantize_info;
quantize_info=(QuantizeInfo *) AcquireCriticalMemory(sizeof(*quantize_info));
GetQuantizeInfo(quantize_info);
if (image_info != (ImageInfo *) NULL)
{
const char
*option;
quantize_info->dither_method=image_info->dither == MagickFalse ?
NoDitherMethod : RiemersmaDitherMethod;
option=GetImageOption(image_info,"dither");
if (option != (const char *) NULL)
quantize_info->dither_method=(DitherMethod) ParseCommandOption(
MagickDitherOptions,MagickFalse,option);
quantize_info->measure_error=image_info->verbose;
}
return(quantize_info);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ A s s i g n I m a g e C o l o r s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AssignImageColors() generates the output image from the pruned tree. The
% output image consists of two parts: (1) A color map, which is an array
% of color descriptions (RGB triples) for each color present in the
% output image; (2) A pixel array, which represents each pixel as an
% index into the color map array.
%
% First, the assignment phase makes one pass over the pruned color
% description tree to establish the image's color map. For each node
% with n2 > 0, it divides Sr, Sg, and Sb by n2 . This produces the mean
% color of all pixels that classify no lower than this node. Each of
% these colors becomes an entry in the color map.
%
% Finally, the assignment phase reclassifies each pixel in the pruned
% tree to identify the deepest node containing the pixel's color. The
% pixel's value in the pixel array becomes the index of this node's mean
% color in the color map.
%
% The format of the AssignImageColors() method is:
%
% MagickBooleanType AssignImageColors(Image *image,CubeInfo *cube_info)
%
% A description of each parameter follows.
%
% o image: the image.
%
% o cube_info: A pointer to the Cube structure.
%
*/
static inline void AssociateAlphaPixel(const Image *image,
const CubeInfo *cube_info,const Quantum *pixel,DoublePixelPacket *alpha_pixel)
{
double
alpha;
if ((cube_info->associate_alpha == MagickFalse) ||
(GetPixelAlpha(image,pixel) == OpaqueAlpha))
{
alpha_pixel->red=(double) GetPixelRed(image,pixel);
alpha_pixel->green=(double) GetPixelGreen(image,pixel);
alpha_pixel->blue=(double) GetPixelBlue(image,pixel);
alpha_pixel->alpha=(double) GetPixelAlpha(image,pixel);
return;
}
alpha=(double) (QuantumScale*GetPixelAlpha(image,pixel));
alpha_pixel->red=alpha*GetPixelRed(image,pixel);
alpha_pixel->green=alpha*GetPixelGreen(image,pixel);
alpha_pixel->blue=alpha*GetPixelBlue(image,pixel);
alpha_pixel->alpha=(double) GetPixelAlpha(image,pixel);
}
static inline void AssociateAlphaPixelInfo(const CubeInfo *cube_info,
const PixelInfo *pixel,DoublePixelPacket *alpha_pixel)
{
double
alpha;
if ((cube_info->associate_alpha == MagickFalse) ||
(pixel->alpha == OpaqueAlpha))
{
alpha_pixel->red=(double) pixel->red;
alpha_pixel->green=(double) pixel->green;
alpha_pixel->blue=(double) pixel->blue;
alpha_pixel->alpha=(double) pixel->alpha;
return;
}
alpha=(double) (QuantumScale*pixel->alpha);
alpha_pixel->red=alpha*pixel->red;
alpha_pixel->green=alpha*pixel->green;
alpha_pixel->blue=alpha*pixel->blue;
alpha_pixel->alpha=(double) pixel->alpha;
}
static inline size_t ColorToNodeId(const CubeInfo *cube_info,
const DoublePixelPacket *pixel,size_t index)
{
size_t
id;
id=(size_t) (((ScaleQuantumToChar(ClampPixel(pixel->red)) >> index) & 0x01) |
((ScaleQuantumToChar(ClampPixel(pixel->green)) >> index) & 0x01) << 1 |
((ScaleQuantumToChar(ClampPixel(pixel->blue)) >> index) & 0x01) << 2);
if (cube_info->associate_alpha != MagickFalse)
id|=((ScaleQuantumToChar(ClampPixel(pixel->alpha)) >> index) & 0x1) << 3;
return(id);
}
static MagickBooleanType AssignImageColors(Image *image,CubeInfo *cube_info,
ExceptionInfo *exception)
{
#define AssignImageTag "Assign/Image"
ColorspaceType
colorspace;
ssize_t
y;
/*
Allocate image colormap.
*/
colorspace=image->colorspace;
if (cube_info->quantize_info->colorspace != UndefinedColorspace)
(void) TransformImageColorspace(image,cube_info->quantize_info->colorspace,
exception);
if (AcquireImageColormap(image,cube_info->colors,exception) == MagickFalse)
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
image->colors=0;
cube_info->transparent_pixels=0;
cube_info->transparent_index=(-1);
(void) DefineImageColormap(image,cube_info,cube_info->root);
/*
Create a reduced color image.
*/
if (cube_info->quantize_info->dither_method != NoDitherMethod)
(void) DitherImage(image,cube_info,exception);
else
{
CacheView
*image_view;
MagickBooleanType
status;
status=MagickTrue;
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
CubeInfo
cube;
register Quantum
*magick_restrict q;
register ssize_t
x;
ssize_t
count;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,
exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
cube=(*cube_info);
for (x=0; x < (ssize_t) image->columns; x+=count)
{
DoublePixelPacket
pixel;
register const NodeInfo
*node_info;
register ssize_t
i;
size_t
id,
index;
/*
Identify the deepest node containing the pixel's color.
*/
for (count=1; (x+count) < (ssize_t) image->columns; count++)
{
PixelInfo
packet;
GetPixelInfoPixel(image,q+count*GetPixelChannels(image),&packet);
if (IsPixelEquivalent(image,q,&packet) == MagickFalse)
break;
}
AssociateAlphaPixel(image,&cube,q,&pixel);
node_info=cube.root;
for (index=MaxTreeDepth-1; (ssize_t) index > 0; index--)
{
id=ColorToNodeId(&cube,&pixel,index);
if (node_info->child[id] == (NodeInfo *) NULL)
break;
node_info=node_info->child[id];
}
/*
Find closest color among siblings and their children.
*/
cube.target=pixel;
cube.distance=(double) (4.0*(QuantumRange+1.0)*(QuantumRange+1.0)+
1.0);
ClosestColor(image,&cube,node_info->parent);
index=cube.color_number;
for (i=0; i < (ssize_t) count; i++)
{
if (image->storage_class == PseudoClass)
SetPixelIndex(image,(Quantum) index,q);
if (cube.quantize_info->measure_error == MagickFalse)
{
SetPixelRed(image,ClampToQuantum(
image->colormap[index].red),q);
SetPixelGreen(image,ClampToQuantum(
image->colormap[index].green),q);
SetPixelBlue(image,ClampToQuantum(
image->colormap[index].blue),q);
if (cube.associate_alpha != MagickFalse)
SetPixelAlpha(image,ClampToQuantum(
image->colormap[index].alpha),q);
}
q+=GetPixelChannels(image);
}
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
proceed=SetImageProgress(image,AssignImageTag,(MagickOffsetType) y,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
}
if (cube_info->quantize_info->measure_error != MagickFalse)
(void) GetImageQuantizeError(image,exception);
if ((cube_info->quantize_info->number_colors == 2) &&
((cube_info->quantize_info->colorspace == LinearGRAYColorspace) ||
(cube_info->quantize_info->colorspace == GRAYColorspace)))
{
double
intensity;
/*
Monochrome image.
*/
intensity=0.0;
if ((image->colors > 1) &&
(GetPixelInfoLuma(image->colormap+0) >
GetPixelInfoLuma(image->colormap+1)))
intensity=(double) QuantumRange;
image->colormap[0].red=intensity;
image->colormap[0].green=intensity;
image->colormap[0].blue=intensity;
if (image->colors > 1)
{
image->colormap[1].red=(double) QuantumRange-intensity;
image->colormap[1].green=(double) QuantumRange-intensity;
image->colormap[1].blue=(double) QuantumRange-intensity;
}
}
(void) SyncImage(image,exception);
if ((cube_info->quantize_info->colorspace != UndefinedColorspace) &&
(IssRGBCompatibleColorspace(colorspace) == MagickFalse))
(void) TransformImageColorspace(image,colorspace,exception);
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ C l a s s i f y I m a g e C o l o r s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ClassifyImageColors() begins by initializing a color description tree
% of sufficient depth to represent each possible input color in a leaf.
% However, it is impractical to generate a fully-formed color
% description tree in the storage_class phase for realistic values of
% Cmax. If colors components in the input image are quantized to k-bit
% precision, so that Cmax= 2k-1, the tree would need k levels below the
% root node to allow representing each possible input color in a leaf.
% This becomes prohibitive because the tree's total number of nodes is
% 1 + sum(i=1,k,8k).
%
% A complete tree would require 19,173,961 nodes for k = 8, Cmax = 255.
% Therefore, to avoid building a fully populated tree, QUANTIZE: (1)
% Initializes data structures for nodes only as they are needed; (2)
% Chooses a maximum depth for the tree as a function of the desired
% number of colors in the output image (currently log2(colormap size)).
%
% For each pixel in the input image, storage_class scans downward from
% the root of the color description tree. At each level of the tree it
% identifies the single node which represents a cube in RGB space
% containing It updates the following data for each such node:
%
% n1 : Number of pixels whose color is contained in the RGB cube
% which this node represents;
%
% n2 : Number of pixels whose color is not represented in a node at
% lower depth in the tree; initially, n2 = 0 for all nodes except
% leaves of the tree.
%
% Sr, Sg, Sb : Sums of the red, green, and blue component values for
% all pixels not classified at a lower depth. The combination of
% these sums and n2 will ultimately characterize the mean color of a
% set of pixels represented by this node.
%
% E: the distance squared in RGB space between each pixel contained
% within a node and the nodes' center. This represents the quantization
% error for a node.
%
% The format of the ClassifyImageColors() method is:
%
% MagickBooleanType ClassifyImageColors(CubeInfo *cube_info,
% const Image *image,ExceptionInfo *exception)
%
% A description of each parameter follows.
%
% o cube_info: A pointer to the Cube structure.
%
% o image: the image.
%
*/
static inline void SetAssociatedAlpha(const Image *image,CubeInfo *cube_info)
{
MagickBooleanType
associate_alpha;
associate_alpha=image->alpha_trait == BlendPixelTrait ? MagickTrue :
MagickFalse;
if ((cube_info->quantize_info->number_colors == 2) &&
((cube_info->quantize_info->colorspace == LinearGRAYColorspace) ||
(cube_info->quantize_info->colorspace == GRAYColorspace)))
associate_alpha=MagickFalse;
cube_info->associate_alpha=associate_alpha;
}
static MagickBooleanType ClassifyImageColors(CubeInfo *cube_info,
const Image *image,ExceptionInfo *exception)
{
#define ClassifyImageTag "Classify/Image"
CacheView
*image_view;
DoublePixelPacket
error,
mid,
midpoint,
pixel;
MagickBooleanType
proceed;
double
bisect;
NodeInfo
*node_info;
size_t
count,
id,
index,
level;
ssize_t
y;
/*
Classify the first cube_info->maximum_colors colors to a tree depth of 8.
*/
SetAssociatedAlpha(image,cube_info);
if ((cube_info->quantize_info->colorspace != UndefinedColorspace) &&
(cube_info->quantize_info->colorspace != CMYKColorspace))
(void) TransformImageColorspace((Image *) image,
cube_info->quantize_info->colorspace,exception);
else
if (IssRGBCompatibleColorspace(image->colorspace) == MagickFalse)
(void) TransformImageColorspace((Image *) image,sRGBColorspace,exception);
midpoint.red=(double) QuantumRange/2.0;
midpoint.green=(double) QuantumRange/2.0;
midpoint.blue=(double) QuantumRange/2.0;
midpoint.alpha=(double) QuantumRange/2.0;
error.alpha=0.0;
image_view=AcquireVirtualCacheView(image,exception);
for (y=0; y < (ssize_t) image->rows; y++)
{
register const Quantum
*magick_restrict p;
register ssize_t
x;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
if (p == (const Quantum *) NULL)
break;
if (cube_info->nodes > MaxNodes)
{
/*
Prune one level if the color tree is too large.
*/
PruneLevel(cube_info,cube_info->root);
cube_info->depth--;
}
for (x=0; x < (ssize_t) image->columns; x+=(ssize_t) count)
{
/*
Start at the root and descend the color cube tree.
*/
for (count=1; (x+(ssize_t) count) < (ssize_t) image->columns; count++)
{
PixelInfo
packet;
GetPixelInfoPixel(image,p+count*GetPixelChannels(image),&packet);
if (IsPixelEquivalent(image,p,&packet) == MagickFalse)
break;
}
AssociateAlphaPixel(image,cube_info,p,&pixel);
index=MaxTreeDepth-1;
bisect=((double) QuantumRange+1.0)/2.0;
mid=midpoint;
node_info=cube_info->root;
for (level=1; level <= MaxTreeDepth; level++)
{
double
distance;
bisect*=0.5;
id=ColorToNodeId(cube_info,&pixel,index);
mid.red+=(id & 1) != 0 ? bisect : -bisect;
mid.green+=(id & 2) != 0 ? bisect : -bisect;
mid.blue+=(id & 4) != 0 ? bisect : -bisect;
mid.alpha+=(id & 8) != 0 ? bisect : -bisect;
if (node_info->child[id] == (NodeInfo *) NULL)
{
/*
Set colors of new node to contain pixel.
*/
node_info->child[id]=GetNodeInfo(cube_info,id,level,node_info);
if (node_info->child[id] == (NodeInfo *) NULL)
{
(void) ThrowMagickException(exception,GetMagickModule(),
ResourceLimitError,"MemoryAllocationFailed","`%s'",
image->filename);
continue;
}
if (level == MaxTreeDepth)
cube_info->colors++;
}
/*
Approximate the quantization error represented by this node.
*/
node_info=node_info->child[id];
error.red=QuantumScale*(pixel.red-mid.red);
error.green=QuantumScale*(pixel.green-mid.green);
error.blue=QuantumScale*(pixel.blue-mid.blue);
if (cube_info->associate_alpha != MagickFalse)
error.alpha=QuantumScale*(pixel.alpha-mid.alpha);
distance=(double) (error.red*error.red+error.green*error.green+
error.blue*error.blue+error.alpha*error.alpha);
if (IsNaN(distance))
distance=0.0;
node_info->quantize_error+=count*sqrt(distance);
cube_info->root->quantize_error+=node_info->quantize_error;
index--;
}
/*
Sum RGB for this leaf for later derivation of the mean cube color.
*/
node_info->number_unique+=count;
node_info->total_color.red+=count*QuantumScale*ClampPixel(pixel.red);
node_info->total_color.green+=count*QuantumScale*ClampPixel(pixel.green);
node_info->total_color.blue+=count*QuantumScale*ClampPixel(pixel.blue);
if (cube_info->associate_alpha != MagickFalse)
node_info->total_color.alpha+=count*QuantumScale*
ClampPixel(pixel.alpha);
else
node_info->total_color.alpha+=count*QuantumScale*
ClampPixel((MagickRealType) OpaqueAlpha);
p+=count*GetPixelChannels(image);
}
if (cube_info->colors > cube_info->maximum_colors)
{
PruneToCubeDepth(cube_info,cube_info->root);
break;
}
proceed=SetImageProgress(image,ClassifyImageTag,(MagickOffsetType) y,
image->rows);
if (proceed == MagickFalse)
break;
}
for (y++; y < (ssize_t) image->rows; y++)
{
register const Quantum
*magick_restrict p;
register ssize_t
x;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
if (p == (const Quantum *) NULL)
break;
if (cube_info->nodes > MaxNodes)
{
/*
Prune one level if the color tree is too large.
*/
PruneLevel(cube_info,cube_info->root);
cube_info->depth--;
}
for (x=0; x < (ssize_t) image->columns; x+=(ssize_t) count)
{
/*
Start at the root and descend the color cube tree.
*/
for (count=1; (x+(ssize_t) count) < (ssize_t) image->columns; count++)
{
PixelInfo
packet;
GetPixelInfoPixel(image,p+count*GetPixelChannels(image),&packet);
if (IsPixelEquivalent(image,p,&packet) == MagickFalse)
break;
}
AssociateAlphaPixel(image,cube_info,p,&pixel);
index=MaxTreeDepth-1;
bisect=((double) QuantumRange+1.0)/2.0;
mid=midpoint;
node_info=cube_info->root;
for (level=1; level <= cube_info->depth; level++)
{
double
distance;
bisect*=0.5;
id=ColorToNodeId(cube_info,&pixel,index);
mid.red+=(id & 1) != 0 ? bisect : -bisect;
mid.green+=(id & 2) != 0 ? bisect : -bisect;
mid.blue+=(id & 4) != 0 ? bisect : -bisect;
mid.alpha+=(id & 8) != 0 ? bisect : -bisect;
if (node_info->child[id] == (NodeInfo *) NULL)
{
/*
Set colors of new node to contain pixel.
*/
node_info->child[id]=GetNodeInfo(cube_info,id,level,node_info);
if (node_info->child[id] == (NodeInfo *) NULL)
{
(void) ThrowMagickException(exception,GetMagickModule(),
ResourceLimitError,"MemoryAllocationFailed","%s",
image->filename);
continue;
}
if (level == cube_info->depth)
cube_info->colors++;
}
/*
Approximate the quantization error represented by this node.
*/
node_info=node_info->child[id];
error.red=QuantumScale*(pixel.red-mid.red);
error.green=QuantumScale*(pixel.green-mid.green);
error.blue=QuantumScale*(pixel.blue-mid.blue);
if (cube_info->associate_alpha != MagickFalse)
error.alpha=QuantumScale*(pixel.alpha-mid.alpha);
distance=(double) (error.red*error.red+error.green*error.green+
error.blue*error.blue+error.alpha*error.alpha);
if (IsNaN(distance) != MagickFalse)
distance=0.0;
node_info->quantize_error+=count*sqrt(distance);
cube_info->root->quantize_error+=node_info->quantize_error;
index--;
}
/*
Sum RGB for this leaf for later derivation of the mean cube color.
*/
node_info->number_unique+=count;
node_info->total_color.red+=count*QuantumScale*ClampPixel(pixel.red);
node_info->total_color.green+=count*QuantumScale*ClampPixel(pixel.green);
node_info->total_color.blue+=count*QuantumScale*ClampPixel(pixel.blue);
if (cube_info->associate_alpha != MagickFalse)
node_info->total_color.alpha+=count*QuantumScale*
ClampPixel(pixel.alpha);
else
node_info->total_color.alpha+=count*QuantumScale*
ClampPixel((MagickRealType) OpaqueAlpha);
p+=count*GetPixelChannels(image);
}
proceed=SetImageProgress(image,ClassifyImageTag,(MagickOffsetType) y,
image->rows);
if (proceed == MagickFalse)
break;
}
image_view=DestroyCacheView(image_view);
if ((cube_info->quantize_info->colorspace != UndefinedColorspace) &&
(cube_info->quantize_info->colorspace != CMYKColorspace))
(void) TransformImageColorspace((Image *) image,sRGBColorspace,exception);
return(y < (ssize_t) image->rows ? MagickFalse : MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C l o n e Q u a n t i z e I n f o %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% CloneQuantizeInfo() makes a duplicate of the given quantize info structure,
% or if quantize info is NULL, a new one.
%
% The format of the CloneQuantizeInfo method is:
%
% QuantizeInfo *CloneQuantizeInfo(const QuantizeInfo *quantize_info)
%
% A description of each parameter follows:
%
% o clone_info: Method CloneQuantizeInfo returns a duplicate of the given
% quantize info, or if image info is NULL a new one.
%
% o quantize_info: a structure of type info.
%
*/
MagickExport QuantizeInfo *CloneQuantizeInfo(const QuantizeInfo *quantize_info)
{
QuantizeInfo
*clone_info;
clone_info=(QuantizeInfo *) AcquireCriticalMemory(sizeof(*clone_info));
GetQuantizeInfo(clone_info);
if (quantize_info == (QuantizeInfo *) NULL)
return(clone_info);
clone_info->number_colors=quantize_info->number_colors;
clone_info->tree_depth=quantize_info->tree_depth;
clone_info->dither_method=quantize_info->dither_method;
clone_info->colorspace=quantize_info->colorspace;
clone_info->measure_error=quantize_info->measure_error;
return(clone_info);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ C l o s e s t C o l o r %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ClosestColor() traverses the color cube tree at a particular node and
% determines which colormap entry best represents the input color.
%
% The format of the ClosestColor method is:
%
% void ClosestColor(const Image *image,CubeInfo *cube_info,
% const NodeInfo *node_info)
%
% A description of each parameter follows.
%
% o image: the image.
%
% o cube_info: A pointer to the Cube structure.
%
% o node_info: the address of a structure of type NodeInfo which points to a
% node in the color cube tree that is to be pruned.
%
*/
static void ClosestColor(const Image *image,CubeInfo *cube_info,
const NodeInfo *node_info)
{
register ssize_t
i;
size_t
number_children;
/*
Traverse any children.
*/
number_children=cube_info->associate_alpha == MagickFalse ? 8UL : 16UL;
for (i=0; i < (ssize_t) number_children; i++)
if (node_info->child[i] != (NodeInfo *) NULL)
ClosestColor(image,cube_info,node_info->child[i]);
if (node_info->number_unique != 0)
{
double
pixel;
register double
alpha,
beta,
distance;
register DoublePixelPacket
*magick_restrict q;
register PixelInfo
*magick_restrict p;
/*
Determine if this color is "closest".
*/
p=image->colormap+node_info->color_number;
q=(&cube_info->target);
alpha=1.0;
beta=1.0;
if (cube_info->associate_alpha != MagickFalse)
{
alpha=(double) (QuantumScale*p->alpha);
beta=(double) (QuantumScale*q->alpha);
}
pixel=alpha*p->red-beta*q->red;
distance=pixel*pixel;
if (distance <= cube_info->distance)
{
pixel=alpha*p->green-beta*q->green;
distance+=pixel*pixel;
if (distance <= cube_info->distance)
{
pixel=alpha*p->blue-beta*q->blue;
distance+=pixel*pixel;
if (distance <= cube_info->distance)
{
if (cube_info->associate_alpha != MagickFalse)
{
pixel=p->alpha-q->alpha;
distance+=pixel*pixel;
}
if (distance <= cube_info->distance)
{
cube_info->distance=distance;
cube_info->color_number=node_info->color_number;
}
}
}
}
}
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C o m p r e s s I m a g e C o l o r m a p %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% CompressImageColormap() compresses an image colormap by removing any
% duplicate or unused color entries.
%
% The format of the CompressImageColormap method is:
%
% MagickBooleanType CompressImageColormap(Image *image,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType CompressImageColormap(Image *image,
ExceptionInfo *exception)
{
QuantizeInfo
quantize_info;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (IsPaletteImage(image) == MagickFalse)
return(MagickFalse);
GetQuantizeInfo(&quantize_info);
quantize_info.number_colors=image->colors;
quantize_info.tree_depth=MaxTreeDepth;
return(QuantizeImage(&quantize_info,image,exception));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ D e f i n e I m a g e C o l o r m a p %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% DefineImageColormap() traverses the color cube tree and notes each colormap
% entry. A colormap entry is any node in the color cube tree where the
% of unique colors is not zero. DefineImageColormap() returns the number of
% colors in the image colormap.
%
% The format of the DefineImageColormap method is:
%
% size_t DefineImageColormap(Image *image,CubeInfo *cube_info,
% NodeInfo *node_info)
%
% A description of each parameter follows.
%
% o image: the image.
%
% o cube_info: A pointer to the Cube structure.
%
% o node_info: the address of a structure of type NodeInfo which points to a
% node in the color cube tree that is to be pruned.
%
*/
static size_t DefineImageColormap(Image *image,CubeInfo *cube_info,
NodeInfo *node_info)
{
register ssize_t
i;
size_t
number_children;
/*
Traverse any children.
*/
number_children=cube_info->associate_alpha == MagickFalse ? 8UL : 16UL;
for (i=0; i < (ssize_t) number_children; i++)
if (node_info->child[i] != (NodeInfo *) NULL)
(void) DefineImageColormap(image,cube_info,node_info->child[i]);
if (node_info->number_unique != 0)
{
register double
alpha;
register PixelInfo
*magick_restrict q;
/*
Colormap entry is defined by the mean color in this cube.
*/
q=image->colormap+image->colors;
alpha=(double) ((MagickOffsetType) node_info->number_unique);
alpha=PerceptibleReciprocal(alpha);
if (cube_info->associate_alpha == MagickFalse)
{
q->red=(double) ClampToQuantum(alpha*QuantumRange*
node_info->total_color.red);
q->green=(double) ClampToQuantum(alpha*QuantumRange*
node_info->total_color.green);
q->blue=(double) ClampToQuantum(alpha*QuantumRange*
node_info->total_color.blue);
q->alpha=(double) OpaqueAlpha;
}
else
{
double
opacity;
opacity=(double) (alpha*QuantumRange*node_info->total_color.alpha);
q->alpha=(double) ClampToQuantum(opacity);
if (q->alpha == OpaqueAlpha)
{
q->red=(double) ClampToQuantum(alpha*QuantumRange*
node_info->total_color.red);
q->green=(double) ClampToQuantum(alpha*QuantumRange*
node_info->total_color.green);
q->blue=(double) ClampToQuantum(alpha*QuantumRange*
node_info->total_color.blue);
}
else
{
double
gamma;
gamma=(double) (QuantumScale*q->alpha);
gamma=PerceptibleReciprocal(gamma);
q->red=(double) ClampToQuantum(alpha*gamma*QuantumRange*
node_info->total_color.red);
q->green=(double) ClampToQuantum(alpha*gamma*QuantumRange*
node_info->total_color.green);
q->blue=(double) ClampToQuantum(alpha*gamma*QuantumRange*
node_info->total_color.blue);
if (node_info->number_unique > cube_info->transparent_pixels)
{
cube_info->transparent_pixels=node_info->number_unique;
cube_info->transparent_index=(ssize_t) image->colors;
}
}
}
node_info->color_number=image->colors++;
}
return(image->colors);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ D e s t r o y C u b e I n f o %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% DestroyCubeInfo() deallocates memory associated with an image.
%
% The format of the DestroyCubeInfo method is:
%
% DestroyCubeInfo(CubeInfo *cube_info)
%
% A description of each parameter follows:
%
% o cube_info: the address of a structure of type CubeInfo.
%
*/
static void DestroyCubeInfo(CubeInfo *cube_info)
{
register Nodes
*nodes;
/*
Release color cube tree storage.
*/
do
{
nodes=cube_info->node_queue->next;
cube_info->node_queue->nodes=(NodeInfo *) RelinquishMagickMemory(
cube_info->node_queue->nodes);
cube_info->node_queue=(Nodes *) RelinquishMagickMemory(
cube_info->node_queue);
cube_info->node_queue=nodes;
} while (cube_info->node_queue != (Nodes *) NULL);
if (cube_info->memory_info != (MemoryInfo *) NULL)
cube_info->memory_info=RelinquishVirtualMemory(cube_info->memory_info);
cube_info->quantize_info=DestroyQuantizeInfo(cube_info->quantize_info);
cube_info=(CubeInfo *) RelinquishMagickMemory(cube_info);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% D e s t r o y Q u a n t i z e I n f o %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% DestroyQuantizeInfo() deallocates memory associated with an QuantizeInfo
% structure.
%
% The format of the DestroyQuantizeInfo method is:
%
% QuantizeInfo *DestroyQuantizeInfo(QuantizeInfo *quantize_info)
%
% A description of each parameter follows:
%
% o quantize_info: Specifies a pointer to an QuantizeInfo structure.
%
*/
MagickExport QuantizeInfo *DestroyQuantizeInfo(QuantizeInfo *quantize_info)
{
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
assert(quantize_info != (QuantizeInfo *) NULL);
assert(quantize_info->signature == MagickCoreSignature);
quantize_info->signature=(~MagickCoreSignature);
quantize_info=(QuantizeInfo *) RelinquishMagickMemory(quantize_info);
return(quantize_info);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ D i t h e r I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% DitherImage() distributes the difference between an original image and
% the corresponding color reduced algorithm to neighboring pixels using
% serpentine-scan Floyd-Steinberg error diffusion. DitherImage returns
% MagickTrue if the image is dithered otherwise MagickFalse.
%
% The format of the DitherImage method is:
%
% MagickBooleanType DitherImage(Image *image,CubeInfo *cube_info,
% ExceptionInfo *exception)
%
% A description of each parameter follows.
%
% o image: the image.
%
% o cube_info: A pointer to the Cube structure.
%
% o exception: return any errors or warnings in this structure.
%
*/
static DoublePixelPacket **DestroyPixelThreadSet(DoublePixelPacket **pixels)
{
register ssize_t
i;
assert(pixels != (DoublePixelPacket **) NULL);
for (i=0; i < (ssize_t) GetMagickResourceLimit(ThreadResource); i++)
if (pixels[i] != (DoublePixelPacket *) NULL)
pixels[i]=(DoublePixelPacket *) RelinquishMagickMemory(pixels[i]);
pixels=(DoublePixelPacket **) RelinquishMagickMemory(pixels);
return(pixels);
}
static DoublePixelPacket **AcquirePixelThreadSet(const size_t count)
{
DoublePixelPacket
**pixels;
register ssize_t
i;
size_t
number_threads;
number_threads=(size_t) GetMagickResourceLimit(ThreadResource);
pixels=(DoublePixelPacket **) AcquireQuantumMemory(number_threads,
sizeof(*pixels));
if (pixels == (DoublePixelPacket **) NULL)
return((DoublePixelPacket **) NULL);
(void) memset(pixels,0,number_threads*sizeof(*pixels));
for (i=0; i < (ssize_t) number_threads; i++)
{
pixels[i]=(DoublePixelPacket *) AcquireQuantumMemory(count,2*
sizeof(**pixels));
if (pixels[i] == (DoublePixelPacket *) NULL)
return(DestroyPixelThreadSet(pixels));
}
return(pixels);
}
static inline ssize_t CacheOffset(CubeInfo *cube_info,
const DoublePixelPacket *pixel)
{
#define RedShift(pixel) (((pixel) >> CacheShift) << (0*(8-CacheShift)))
#define GreenShift(pixel) (((pixel) >> CacheShift) << (1*(8-CacheShift)))
#define BlueShift(pixel) (((pixel) >> CacheShift) << (2*(8-CacheShift)))
#define AlphaShift(pixel) (((pixel) >> CacheShift) << (3*(8-CacheShift)))
ssize_t
offset;
offset=(ssize_t) (RedShift(ScaleQuantumToChar(ClampPixel(pixel->red))) |
GreenShift(ScaleQuantumToChar(ClampPixel(pixel->green))) |
BlueShift(ScaleQuantumToChar(ClampPixel(pixel->blue))));
if (cube_info->associate_alpha != MagickFalse)
offset|=AlphaShift(ScaleQuantumToChar(ClampPixel(pixel->alpha)));
return(offset);
}
static MagickBooleanType FloydSteinbergDither(Image *image,CubeInfo *cube_info,
ExceptionInfo *exception)
{
#define DitherImageTag "Dither/Image"
CacheView
*image_view;
const char
*artifact;
double
amount;
DoublePixelPacket
**pixels;
MagickBooleanType
status;
ssize_t
y;
/*
Distribute quantization error using Floyd-Steinberg.
*/
pixels=AcquirePixelThreadSet(image->columns);
if (pixels == (DoublePixelPacket **) NULL)
return(MagickFalse);
status=MagickTrue;
amount=1.0;
artifact=GetImageArtifact(image,"dither:diffusion-amount");
if (artifact != (const char *) NULL)
amount=StringToDoubleInterval(artifact,1.0);
image_view=AcquireAuthenticCacheView(image,exception);
for (y=0; y < (ssize_t) image->rows; y++)
{
const int
id = GetOpenMPThreadId();
CubeInfo
cube;
DoublePixelPacket
*current,
*previous;
register Quantum
*magick_restrict q;
register ssize_t
x;
size_t
index;
ssize_t
v;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
cube=(*cube_info);
current=pixels[id]+(y & 0x01)*image->columns;
previous=pixels[id]+((y+1) & 0x01)*image->columns;
v=(ssize_t) ((y & 0x01) != 0 ? -1 : 1);
for (x=0; x < (ssize_t) image->columns; x++)
{
DoublePixelPacket
color,
pixel;
register ssize_t
i;
ssize_t
u;
u=(y & 0x01) != 0 ? (ssize_t) image->columns-1-x : x;
AssociateAlphaPixel(image,&cube,q+u*GetPixelChannels(image),&pixel);
if (x > 0)
{
pixel.red+=7.0*amount*current[u-v].red/16;
pixel.green+=7.0*amount*current[u-v].green/16;
pixel.blue+=7.0*amount*current[u-v].blue/16;
if (cube.associate_alpha != MagickFalse)
pixel.alpha+=7.0*amount*current[u-v].alpha/16;
}
if (y > 0)
{
if (x < (ssize_t) (image->columns-1))
{
pixel.red+=previous[u+v].red/16;
pixel.green+=previous[u+v].green/16;
pixel.blue+=previous[u+v].blue/16;
if (cube.associate_alpha != MagickFalse)
pixel.alpha+=previous[u+v].alpha/16;
}
pixel.red+=5.0*amount*previous[u].red/16;
pixel.green+=5.0*amount*previous[u].green/16;
pixel.blue+=5.0*amount*previous[u].blue/16;
if (cube.associate_alpha != MagickFalse)
pixel.alpha+=5.0*amount*previous[u].alpha/16;
if (x > 0)
{
pixel.red+=3.0*amount*previous[u-v].red/16;
pixel.green+=3.0*amount*previous[u-v].green/16;
pixel.blue+=3.0*amount*previous[u-v].blue/16;
if (cube.associate_alpha != MagickFalse)
pixel.alpha+=3.0*amount*previous[u-v].alpha/16;
}
}
pixel.red=(double) ClampPixel(pixel.red);
pixel.green=(double) ClampPixel(pixel.green);
pixel.blue=(double) ClampPixel(pixel.blue);
if (cube.associate_alpha != MagickFalse)
pixel.alpha=(double) ClampPixel(pixel.alpha);
i=CacheOffset(&cube,&pixel);
if (cube.cache[i] < 0)
{
register NodeInfo
*node_info;
register size_t
node_id;
/*
Identify the deepest node containing the pixel's color.
*/
node_info=cube.root;
for (index=MaxTreeDepth-1; (ssize_t) index > 0; index--)
{
node_id=ColorToNodeId(&cube,&pixel,index);
if (node_info->child[node_id] == (NodeInfo *) NULL)
break;
node_info=node_info->child[node_id];
}
/*
Find closest color among siblings and their children.
*/
cube.target=pixel;
cube.distance=(double) (4.0*(QuantumRange+1.0)*(QuantumRange+1.0)+
1.0);
ClosestColor(image,&cube,node_info->parent);
cube.cache[i]=(ssize_t) cube.color_number;
}
/*
Assign pixel to closest colormap entry.
*/
index=(size_t) cube.cache[i];
if (image->storage_class == PseudoClass)
SetPixelIndex(image,(Quantum) index,q+u*GetPixelChannels(image));
if (cube.quantize_info->measure_error == MagickFalse)
{
SetPixelRed(image,ClampToQuantum(image->colormap[index].red),
q+u*GetPixelChannels(image));
SetPixelGreen(image,ClampToQuantum(image->colormap[index].green),
q+u*GetPixelChannels(image));
SetPixelBlue(image,ClampToQuantum(image->colormap[index].blue),
q+u*GetPixelChannels(image));
if (cube.associate_alpha != MagickFalse)
SetPixelAlpha(image,ClampToQuantum(image->colormap[index].alpha),
q+u*GetPixelChannels(image));
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
/*
Store the error.
*/
AssociateAlphaPixelInfo(&cube,image->colormap+index,&color);
current[u].red=pixel.red-color.red;
current[u].green=pixel.green-color.green;
current[u].blue=pixel.blue-color.blue;
if (cube.associate_alpha != MagickFalse)
current[u].alpha=pixel.alpha-color.alpha;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
proceed=SetImageProgress(image,DitherImageTag,(MagickOffsetType) y,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
}
image_view=DestroyCacheView(image_view);
pixels=DestroyPixelThreadSet(pixels);
return(MagickTrue);
}
static MagickBooleanType
RiemersmaDither(Image *,CacheView *,CubeInfo *,const unsigned int,
ExceptionInfo *);
static void Riemersma(Image *image,CacheView *image_view,CubeInfo *cube_info,
const size_t level,const unsigned int direction,ExceptionInfo *exception)
{
if (level == 1)
switch (direction)
{
case WestGravity:
{
(void) RiemersmaDither(image,image_view,cube_info,EastGravity,
exception);
(void) RiemersmaDither(image,image_view,cube_info,SouthGravity,
exception);
(void) RiemersmaDither(image,image_view,cube_info,WestGravity,
exception);
break;
}
case EastGravity:
{
(void) RiemersmaDither(image,image_view,cube_info,WestGravity,
exception);
(void) RiemersmaDither(image,image_view,cube_info,NorthGravity,
exception);
(void) RiemersmaDither(image,image_view,cube_info,EastGravity,
exception);
break;
}
case NorthGravity:
{
(void) RiemersmaDither(image,image_view,cube_info,SouthGravity,
exception);
(void) RiemersmaDither(image,image_view,cube_info,EastGravity,
exception);
(void) RiemersmaDither(image,image_view,cube_info,NorthGravity,
exception);
break;
}
case SouthGravity:
{
(void) RiemersmaDither(image,image_view,cube_info,NorthGravity,
exception);
(void) RiemersmaDither(image,image_view,cube_info,WestGravity,
exception);
(void) RiemersmaDither(image,image_view,cube_info,SouthGravity,
exception);
break;
}
default:
break;
}
else
switch (direction)
{
case WestGravity:
{
Riemersma(image,image_view,cube_info,level-1,NorthGravity,
exception);
(void) RiemersmaDither(image,image_view,cube_info,EastGravity,
exception);
Riemersma(image,image_view,cube_info,level-1,WestGravity,
exception);
(void) RiemersmaDither(image,image_view,cube_info,SouthGravity,
exception);
Riemersma(image,image_view,cube_info,level-1,WestGravity,
exception);
(void) RiemersmaDither(image,image_view,cube_info,WestGravity,
exception);
Riemersma(image,image_view,cube_info,level-1,SouthGravity,
exception);
break;
}
case EastGravity:
{
Riemersma(image,image_view,cube_info,level-1,SouthGravity,
exception);
(void) RiemersmaDither(image,image_view,cube_info,WestGravity,
exception);
Riemersma(image,image_view,cube_info,level-1,EastGravity,
exception);
(void) RiemersmaDither(image,image_view,cube_info,NorthGravity,
exception);
Riemersma(image,image_view,cube_info,level-1,EastGravity,
exception);
(void) RiemersmaDither(image,image_view,cube_info,EastGravity,
exception);
Riemersma(image,image_view,cube_info,level-1,NorthGravity,
exception);
break;
}
case NorthGravity:
{
Riemersma(image,image_view,cube_info,level-1,WestGravity,
exception);
(void) RiemersmaDither(image,image_view,cube_info,SouthGravity,
exception);
Riemersma(image,image_view,cube_info,level-1,NorthGravity,
exception);
(void) RiemersmaDither(image,image_view,cube_info,EastGravity,
exception);
Riemersma(image,image_view,cube_info,level-1,NorthGravity,
exception);
(void) RiemersmaDither(image,image_view,cube_info,NorthGravity,
exception);
Riemersma(image,image_view,cube_info,level-1,EastGravity,
exception);
break;
}
case SouthGravity:
{
Riemersma(image,image_view,cube_info,level-1,EastGravity,
exception);
(void) RiemersmaDither(image,image_view,cube_info,NorthGravity,
exception);
Riemersma(image,image_view,cube_info,level-1,SouthGravity,
exception);
(void) RiemersmaDither(image,image_view,cube_info,WestGravity,
exception);
Riemersma(image,image_view,cube_info,level-1,SouthGravity,
exception);
(void) RiemersmaDither(image,image_view,cube_info,SouthGravity,
exception);
Riemersma(image,image_view,cube_info,level-1,WestGravity,
exception);
break;
}
default:
break;
}
}
static MagickBooleanType RiemersmaDither(Image *image,CacheView *image_view,
CubeInfo *cube_info,const unsigned int direction,ExceptionInfo *exception)
{
#define DitherImageTag "Dither/Image"
DoublePixelPacket
color,
pixel;
MagickBooleanType
proceed;
register CubeInfo
*p;
size_t
index;
p=cube_info;
if ((p->x >= 0) && (p->x < (ssize_t) image->columns) &&
(p->y >= 0) && (p->y < (ssize_t) image->rows))
{
register Quantum
*magick_restrict q;
register ssize_t
i;
/*
Distribute error.
*/
q=GetCacheViewAuthenticPixels(image_view,p->x,p->y,1,1,exception);
if (q == (Quantum *) NULL)
return(MagickFalse);
AssociateAlphaPixel(image,cube_info,q,&pixel);
for (i=0; i < ErrorQueueLength; i++)
{
pixel.red+=p->weights[i]*p->error[i].red;
pixel.green+=p->weights[i]*p->error[i].green;
pixel.blue+=p->weights[i]*p->error[i].blue;
if (cube_info->associate_alpha != MagickFalse)
pixel.alpha+=p->weights[i]*p->error[i].alpha;
}
pixel.red=(double) ClampPixel(pixel.red);
pixel.green=(double) ClampPixel(pixel.green);
pixel.blue=(double) ClampPixel(pixel.blue);
if (cube_info->associate_alpha != MagickFalse)
pixel.alpha=(double) ClampPixel(pixel.alpha);
i=CacheOffset(cube_info,&pixel);
if (p->cache[i] < 0)
{
register NodeInfo
*node_info;
register size_t
id;
/*
Identify the deepest node containing the pixel's color.
*/
node_info=p->root;
for (index=MaxTreeDepth-1; (ssize_t) index > 0; index--)
{
id=ColorToNodeId(cube_info,&pixel,index);
if (node_info->child[id] == (NodeInfo *) NULL)
break;
node_info=node_info->child[id];
}
/*
Find closest color among siblings and their children.
*/
p->target=pixel;
p->distance=(double) (4.0*(QuantumRange+1.0)*((double)
QuantumRange+1.0)+1.0);
ClosestColor(image,p,node_info->parent);
p->cache[i]=(ssize_t) p->color_number;
}
/*
Assign pixel to closest colormap entry.
*/
index=(size_t) p->cache[i];
if (image->storage_class == PseudoClass)
SetPixelIndex(image,(Quantum) index,q);
if (cube_info->quantize_info->measure_error == MagickFalse)
{
SetPixelRed(image,ClampToQuantum(image->colormap[index].red),q);
SetPixelGreen(image,ClampToQuantum(image->colormap[index].green),q);
SetPixelBlue(image,ClampToQuantum(image->colormap[index].blue),q);
if (cube_info->associate_alpha != MagickFalse)
SetPixelAlpha(image,ClampToQuantum(image->colormap[index].alpha),q);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
return(MagickFalse);
/*
Propagate the error as the last entry of the error queue.
*/
(void) memmove(p->error,p->error+1,(ErrorQueueLength-1)*
sizeof(p->error[0]));
AssociateAlphaPixelInfo(cube_info,image->colormap+index,&color);
p->error[ErrorQueueLength-1].red=pixel.red-color.red;
p->error[ErrorQueueLength-1].green=pixel.green-color.green;
p->error[ErrorQueueLength-1].blue=pixel.blue-color.blue;
if (cube_info->associate_alpha != MagickFalse)
p->error[ErrorQueueLength-1].alpha=pixel.alpha-color.alpha;
proceed=SetImageProgress(image,DitherImageTag,p->offset,p->span);
if (proceed == MagickFalse)
return(MagickFalse);
p->offset++;
}
switch (direction)
{
case WestGravity: p->x--; break;
case EastGravity: p->x++; break;
case NorthGravity: p->y--; break;
case SouthGravity: p->y++; break;
}
return(MagickTrue);
}
static MagickBooleanType DitherImage(Image *image,CubeInfo *cube_info,
ExceptionInfo *exception)
{
CacheView
*image_view;
MagickBooleanType
status;
register ssize_t
i;
size_t
depth;
if (cube_info->quantize_info->dither_method != RiemersmaDitherMethod)
return(FloydSteinbergDither(image,cube_info,exception));
/*
Distribute quantization error along a Hilbert curve.
*/
(void) memset(cube_info->error,0,ErrorQueueLength*sizeof(*cube_info->error));
cube_info->x=0;
cube_info->y=0;
i=MagickMax((ssize_t) image->columns,(ssize_t) image->rows);
for (depth=1; i != 0; depth++)
i>>=1;
if ((ssize_t) (1L << depth) < MagickMax((ssize_t) image->columns,(ssize_t) image->rows))
depth++;
cube_info->offset=0;
cube_info->span=(MagickSizeType) image->columns*image->rows;
image_view=AcquireAuthenticCacheView(image,exception);
if (depth > 1)
Riemersma(image,image_view,cube_info,depth-1,NorthGravity,exception);
status=RiemersmaDither(image,image_view,cube_info,ForgetGravity,exception);
image_view=DestroyCacheView(image_view);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t C u b e I n f o %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetCubeInfo() initialize the Cube data structure.
%
% The format of the GetCubeInfo method is:
%
% CubeInfo GetCubeInfo(const QuantizeInfo *quantize_info,
% const size_t depth,const size_t maximum_colors)
%
% A description of each parameter follows.
%
% o quantize_info: Specifies a pointer to an QuantizeInfo structure.
%
% o depth: Normally, this integer value is zero or one. A zero or
% one tells Quantize to choose a optimal tree depth of Log4(number_colors).
% A tree of this depth generally allows the best representation of the
% reference image with the least amount of memory and the fastest
% computational speed. In some cases, such as an image with low color
% dispersion (a few number of colors), a value other than
% Log4(number_colors) is required. To expand the color tree completely,
% use a value of 8.
%
% o maximum_colors: maximum colors.
%
*/
static CubeInfo *GetCubeInfo(const QuantizeInfo *quantize_info,
const size_t depth,const size_t maximum_colors)
{
CubeInfo
*cube_info;
double
sum,
weight;
register ssize_t
i;
size_t
length;
/*
Initialize tree to describe color cube_info.
*/
cube_info=(CubeInfo *) AcquireMagickMemory(sizeof(*cube_info));
if (cube_info == (CubeInfo *) NULL)
return((CubeInfo *) NULL);
(void) memset(cube_info,0,sizeof(*cube_info));
cube_info->depth=depth;
if (cube_info->depth > MaxTreeDepth)
cube_info->depth=MaxTreeDepth;
if (cube_info->depth < 2)
cube_info->depth=2;
cube_info->maximum_colors=maximum_colors;
/*
Initialize root node.
*/
cube_info->root=GetNodeInfo(cube_info,0,0,(NodeInfo *) NULL);
if (cube_info->root == (NodeInfo *) NULL)
return((CubeInfo *) NULL);
cube_info->root->parent=cube_info->root;
cube_info->quantize_info=CloneQuantizeInfo(quantize_info);
if (cube_info->quantize_info->dither_method == NoDitherMethod)
return(cube_info);
/*
Initialize dither resources.
*/
length=(size_t) (1UL << (4*(8-CacheShift)));
cube_info->memory_info=AcquireVirtualMemory(length,sizeof(*cube_info->cache));
if (cube_info->memory_info == (MemoryInfo *) NULL)
return((CubeInfo *) NULL);
cube_info->cache=(ssize_t *) GetVirtualMemoryBlob(cube_info->memory_info);
/*
Initialize color cache.
*/
(void) memset(cube_info->cache,(-1),sizeof(*cube_info->cache)*length);
/*
Distribute weights along a curve of exponential decay.
*/
weight=1.0;
for (i=0; i < ErrorQueueLength; i++)
{
cube_info->weights[ErrorQueueLength-i-1]=PerceptibleReciprocal(weight);
weight*=exp(log(((double) QuantumRange+1.0))/(ErrorQueueLength-1.0));
}
/*
Normalize the weighting factors.
*/
weight=0.0;
for (i=0; i < ErrorQueueLength; i++)
weight+=cube_info->weights[i];
sum=0.0;
for (i=0; i < ErrorQueueLength; i++)
{
cube_info->weights[i]/=weight;
sum+=cube_info->weights[i];
}
cube_info->weights[0]+=1.0-sum;
return(cube_info);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t N o d e I n f o %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetNodeInfo() allocates memory for a new node in the color cube tree and
% presets all fields to zero.
%
% The format of the GetNodeInfo method is:
%
% NodeInfo *GetNodeInfo(CubeInfo *cube_info,const size_t id,
% const size_t level,NodeInfo *parent)
%
% A description of each parameter follows.
%
% o node: The GetNodeInfo method returns a pointer to a queue of nodes.
%
% o id: Specifies the child number of the node.
%
% o level: Specifies the level in the storage_class the node resides.
%
*/
static NodeInfo *GetNodeInfo(CubeInfo *cube_info,const size_t id,
const size_t level,NodeInfo *parent)
{
NodeInfo
*node_info;
if (cube_info->free_nodes == 0)
{
Nodes
*nodes;
/*
Allocate a new queue of nodes.
*/
nodes=(Nodes *) AcquireMagickMemory(sizeof(*nodes));
if (nodes == (Nodes *) NULL)
return((NodeInfo *) NULL);
nodes->nodes=(NodeInfo *) AcquireQuantumMemory(NodesInAList,
sizeof(*nodes->nodes));
if (nodes->nodes == (NodeInfo *) NULL)
return((NodeInfo *) NULL);
nodes->next=cube_info->node_queue;
cube_info->node_queue=nodes;
cube_info->next_node=nodes->nodes;
cube_info->free_nodes=NodesInAList;
}
cube_info->nodes++;
cube_info->free_nodes--;
node_info=cube_info->next_node++;
(void) memset(node_info,0,sizeof(*node_info));
node_info->parent=parent;
node_info->id=id;
node_info->level=level;
return(node_info);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e Q u a n t i z e E r r o r %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageQuantizeError() measures the difference between the original
% and quantized images. This difference is the total quantization error.
% The error is computed by summing over all pixels in an image the distance
% squared in RGB space between each reference pixel value and its quantized
% value. These values are computed:
%
% o mean_error_per_pixel: This value is the mean error for any single
% pixel in the image.
%
% o normalized_mean_square_error: This value is the normalized mean
% quantization error for any single pixel in the image. This distance
% measure is normalized to a range between 0 and 1. It is independent
% of the range of red, green, and blue values in the image.
%
% o normalized_maximum_square_error: Thsi value is the normalized
% maximum quantization error for any single pixel in the image. This
% distance measure is normalized to a range between 0 and 1. It is
% independent of the range of red, green, and blue values in your image.
%
% The format of the GetImageQuantizeError method is:
%
% MagickBooleanType GetImageQuantizeError(Image *image,
% ExceptionInfo *exception)
%
% A description of each parameter follows.
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType GetImageQuantizeError(Image *image,
ExceptionInfo *exception)
{
CacheView
*image_view;
double
alpha,
area,
beta,
distance,
maximum_error,
mean_error,
mean_error_per_pixel;
ssize_t
index,
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
image->total_colors=GetNumberColors(image,(FILE *) NULL,exception);
(void) memset(&image->error,0,sizeof(image->error));
if (image->storage_class == DirectClass)
return(MagickTrue);
alpha=1.0;
beta=1.0;
area=3.0*image->columns*image->rows;
maximum_error=0.0;
mean_error_per_pixel=0.0;
mean_error=0.0;
image_view=AcquireVirtualCacheView(image,exception);
for (y=0; y < (ssize_t) image->rows; y++)
{
register const Quantum
*magick_restrict p;
register ssize_t
x;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
if (p == (const Quantum *) NULL)
break;
for (x=0; x < (ssize_t) image->columns; x++)
{
index=(ssize_t) GetPixelIndex(image,p);
if (image->alpha_trait == BlendPixelTrait)
{
alpha=(double) (QuantumScale*GetPixelAlpha(image,p));
beta=(double) (QuantumScale*image->colormap[index].alpha);
}
distance=fabs((double) (alpha*GetPixelRed(image,p)-beta*
image->colormap[index].red));
mean_error_per_pixel+=distance;
mean_error+=distance*distance;
if (distance > maximum_error)
maximum_error=distance;
distance=fabs((double) (alpha*GetPixelGreen(image,p)-beta*
image->colormap[index].green));
mean_error_per_pixel+=distance;
mean_error+=distance*distance;
if (distance > maximum_error)
maximum_error=distance;
distance=fabs((double) (alpha*GetPixelBlue(image,p)-beta*
image->colormap[index].blue));
mean_error_per_pixel+=distance;
mean_error+=distance*distance;
if (distance > maximum_error)
maximum_error=distance;
p+=GetPixelChannels(image);
}
}
image_view=DestroyCacheView(image_view);
image->error.mean_error_per_pixel=(double) mean_error_per_pixel/area;
image->error.normalized_mean_error=(double) QuantumScale*QuantumScale*
mean_error/area;
image->error.normalized_maximum_error=(double) QuantumScale*maximum_error;
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t Q u a n t i z e I n f o %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetQuantizeInfo() initializes the QuantizeInfo structure.
%
% The format of the GetQuantizeInfo method is:
%
% GetQuantizeInfo(QuantizeInfo *quantize_info)
%
% A description of each parameter follows:
%
% o quantize_info: Specifies a pointer to a QuantizeInfo structure.
%
*/
MagickExport void GetQuantizeInfo(QuantizeInfo *quantize_info)
{
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
assert(quantize_info != (QuantizeInfo *) NULL);
(void) memset(quantize_info,0,sizeof(*quantize_info));
quantize_info->number_colors=256;
quantize_info->dither_method=RiemersmaDitherMethod;
quantize_info->colorspace=UndefinedColorspace;
quantize_info->measure_error=MagickFalse;
quantize_info->signature=MagickCoreSignature;
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% P o s t e r i z e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% PosterizeImage() reduces the image to a limited number of colors for a
% "poster" effect.
%
% The format of the PosterizeImage method is:
%
% MagickBooleanType PosterizeImage(Image *image,const size_t levels,
% const DitherMethod dither_method,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: Specifies a pointer to an Image structure.
%
% o levels: Number of color levels allowed in each channel. Very low values
% (2, 3, or 4) have the most visible effect.
%
% o dither_method: choose from UndefinedDitherMethod, NoDitherMethod,
% RiemersmaDitherMethod, FloydSteinbergDitherMethod.
%
% o exception: return any errors or warnings in this structure.
%
*/
static inline double MagickRound(double x)
{
/*
Round the fraction to nearest integer.
*/
if ((x-floor(x)) < (ceil(x)-x))
return(floor(x));
return(ceil(x));
}
MagickExport MagickBooleanType PosterizeImage(Image *image,const size_t levels,
const DitherMethod dither_method,ExceptionInfo *exception)
{
#define PosterizeImageTag "Posterize/Image"
#define PosterizePixel(pixel) (Quantum) (QuantumRange*(MagickRound( \
QuantumScale*pixel*(levels-1)))/MagickMax((ssize_t) levels-1,1))
CacheView
*image_view;
MagickBooleanType
status;
MagickOffsetType
progress;
QuantizeInfo
*quantize_info;
register ssize_t
i;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
if (image->storage_class == PseudoClass)
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,image,image->colors,1)
#endif
for (i=0; i < (ssize_t) image->colors; i++)
{
/*
Posterize colormap.
*/
if ((GetPixelRedTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].red=(double)
PosterizePixel(image->colormap[i].red);
if ((GetPixelGreenTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].green=(double)
PosterizePixel(image->colormap[i].green);
if ((GetPixelBlueTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].blue=(double)
PosterizePixel(image->colormap[i].blue);
if ((GetPixelAlphaTraits(image) & UpdatePixelTrait) != 0)
image->colormap[i].alpha=(double)
PosterizePixel(image->colormap[i].alpha);
}
/*
Posterize image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
if ((GetPixelRedTraits(image) & UpdatePixelTrait) != 0)
SetPixelRed(image,PosterizePixel(GetPixelRed(image,q)),q);
if ((GetPixelGreenTraits(image) & UpdatePixelTrait) != 0)
SetPixelGreen(image,PosterizePixel(GetPixelGreen(image,q)),q);
if ((GetPixelBlueTraits(image) & UpdatePixelTrait) != 0)
SetPixelBlue(image,PosterizePixel(GetPixelBlue(image,q)),q);
if (((GetPixelBlackTraits(image) & UpdatePixelTrait) != 0) &&
(image->colorspace == CMYKColorspace))
SetPixelBlack(image,PosterizePixel(GetPixelBlack(image,q)),q);
if (((GetPixelAlphaTraits(image) & UpdatePixelTrait) != 0) &&
(image->alpha_trait == BlendPixelTrait))
SetPixelAlpha(image,PosterizePixel(GetPixelAlpha(image,q)),q);
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,PosterizeImageTag,progress,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
quantize_info=AcquireQuantizeInfo((ImageInfo *) NULL);
quantize_info->number_colors=(size_t) MagickMin((ssize_t) levels*levels*
levels,MaxColormapSize+1);
quantize_info->dither_method=dither_method;
quantize_info->tree_depth=MaxTreeDepth;
status=QuantizeImage(quantize_info,image,exception);
quantize_info=DestroyQuantizeInfo(quantize_info);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ P r u n e C h i l d %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% PruneChild() deletes the given node and merges its statistics into its
% parent.
%
% The format of the PruneSubtree method is:
%
% PruneChild(CubeInfo *cube_info,const NodeInfo *node_info)
%
% A description of each parameter follows.
%
% o cube_info: A pointer to the Cube structure.
%
% o node_info: pointer to node in color cube tree that is to be pruned.
%
*/
static void PruneChild(CubeInfo *cube_info,const NodeInfo *node_info)
{
NodeInfo
*parent;
register ssize_t
i;
size_t
number_children;
/*
Traverse any children.
*/
number_children=cube_info->associate_alpha == MagickFalse ? 8UL : 16UL;
for (i=0; i < (ssize_t) number_children; i++)
if (node_info->child[i] != (NodeInfo *) NULL)
PruneChild(cube_info,node_info->child[i]);
/*
Merge color statistics into parent.
*/
parent=node_info->parent;
parent->number_unique+=node_info->number_unique;
parent->total_color.red+=node_info->total_color.red;
parent->total_color.green+=node_info->total_color.green;
parent->total_color.blue+=node_info->total_color.blue;
parent->total_color.alpha+=node_info->total_color.alpha;
parent->child[node_info->id]=(NodeInfo *) NULL;
cube_info->nodes--;
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ P r u n e L e v e l %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% PruneLevel() deletes all nodes at the bottom level of the color tree merging
% their color statistics into their parent node.
%
% The format of the PruneLevel method is:
%
% PruneLevel(CubeInfo *cube_info,const NodeInfo *node_info)
%
% A description of each parameter follows.
%
% o cube_info: A pointer to the Cube structure.
%
% o node_info: pointer to node in color cube tree that is to be pruned.
%
*/
static void PruneLevel(CubeInfo *cube_info,const NodeInfo *node_info)
{
register ssize_t
i;
size_t
number_children;
/*
Traverse any children.
*/
number_children=cube_info->associate_alpha == MagickFalse ? 8UL : 16UL;
for (i=0; i < (ssize_t) number_children; i++)
if (node_info->child[i] != (NodeInfo *) NULL)
PruneLevel(cube_info,node_info->child[i]);
if (node_info->level == cube_info->depth)
PruneChild(cube_info,node_info);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ P r u n e T o C u b e D e p t h %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% PruneToCubeDepth() deletes any nodes at a depth greater than
% cube_info->depth while merging their color statistics into their parent
% node.
%
% The format of the PruneToCubeDepth method is:
%
% PruneToCubeDepth(CubeInfo *cube_info,const NodeInfo *node_info)
%
% A description of each parameter follows.
%
% o cube_info: A pointer to the Cube structure.
%
% o node_info: pointer to node in color cube tree that is to be pruned.
%
*/
static void PruneToCubeDepth(CubeInfo *cube_info,const NodeInfo *node_info)
{
register ssize_t
i;
size_t
number_children;
/*
Traverse any children.
*/
number_children=cube_info->associate_alpha == MagickFalse ? 8UL : 16UL;
for (i=0; i < (ssize_t) number_children; i++)
if (node_info->child[i] != (NodeInfo *) NULL)
PruneToCubeDepth(cube_info,node_info->child[i]);
if (node_info->level > cube_info->depth)
PruneChild(cube_info,node_info);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% Q u a n t i z e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% QuantizeImage() analyzes the colors within a reference image and chooses a
% fixed number of colors to represent the image. The goal of the algorithm
% is to minimize the color difference between the input and output image while
% minimizing the processing time.
%
% The format of the QuantizeImage method is:
%
% MagickBooleanType QuantizeImage(const QuantizeInfo *quantize_info,
% Image *image,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o quantize_info: Specifies a pointer to an QuantizeInfo structure.
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType QuantizeImage(const QuantizeInfo *quantize_info,
Image *image,ExceptionInfo *exception)
{
CubeInfo
*cube_info;
MagickBooleanType
status;
size_t
depth,
maximum_colors;
assert(quantize_info != (const QuantizeInfo *) NULL);
assert(quantize_info->signature == MagickCoreSignature);
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
maximum_colors=quantize_info->number_colors;
if (maximum_colors == 0)
maximum_colors=MaxColormapSize;
if (maximum_colors > MaxColormapSize)
maximum_colors=MaxColormapSize;
if (image->alpha_trait != BlendPixelTrait)
{
if (SetImageGray(image,exception) != MagickFalse)
(void) SetGrayscaleImage(image,exception);
}
if ((quantize_info->dither_method == NoDitherMethod) &&
(image->storage_class == PseudoClass) &&
(image->colors <= maximum_colors))
{
if ((quantize_info->colorspace != UndefinedColorspace) &&
(quantize_info->colorspace != CMYKColorspace))
(void) TransformImageColorspace(image,quantize_info->colorspace,
exception);
return(MagickTrue);
}
depth=quantize_info->tree_depth;
if (depth == 0)
{
size_t
colors;
/*
Depth of color tree is: Log4(colormap size)+2.
*/
colors=maximum_colors;
for (depth=1; colors != 0; depth++)
colors>>=2;
if ((quantize_info->dither_method != NoDitherMethod) && (depth > 2))
depth--;
if ((image->alpha_trait == BlendPixelTrait) && (depth > 5))
depth--;
if (SetImageGray(image,exception) != MagickFalse)
depth=MaxTreeDepth;
}
/*
Initialize color cube.
*/
cube_info=GetCubeInfo(quantize_info,depth,maximum_colors);
if (cube_info == (CubeInfo *) NULL)
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
status=ClassifyImageColors(cube_info,image,exception);
if (status != MagickFalse)
{
/*
Reduce the number of colors in the image if it contains more than the
maximum, otherwise we can disable dithering to improve the performance.
*/
if (cube_info->colors > cube_info->maximum_colors)
ReduceImageColors(image,cube_info);
else
cube_info->quantize_info->dither_method=NoDitherMethod;
status=AssignImageColors(image,cube_info,exception);
}
DestroyCubeInfo(cube_info);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% Q u a n t i z e I m a g e s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% QuantizeImages() analyzes the colors within a set of reference images and
% chooses a fixed number of colors to represent the set. The goal of the
% algorithm is to minimize the color difference between the input and output
% images while minimizing the processing time.
%
% The format of the QuantizeImages method is:
%
% MagickBooleanType QuantizeImages(const QuantizeInfo *quantize_info,
% Image *images,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o quantize_info: Specifies a pointer to an QuantizeInfo structure.
%
% o images: Specifies a pointer to a list of Image structures.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType QuantizeImages(const QuantizeInfo *quantize_info,
Image *images,ExceptionInfo *exception)
{
CubeInfo
*cube_info;
Image
*image;
MagickBooleanType
proceed,
status;
MagickProgressMonitor
progress_monitor;
register ssize_t
i;
size_t
depth,
maximum_colors,
number_images;
assert(quantize_info != (const QuantizeInfo *) NULL);
assert(quantize_info->signature == MagickCoreSignature);
assert(images != (Image *) NULL);
assert(images->signature == MagickCoreSignature);
if (images->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",images->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
if (GetNextImageInList(images) == (Image *) NULL)
{
/*
Handle a single image with QuantizeImage.
*/
status=QuantizeImage(quantize_info,images,exception);
return(status);
}
status=MagickFalse;
maximum_colors=quantize_info->number_colors;
if (maximum_colors == 0)
maximum_colors=MaxColormapSize;
if (maximum_colors > MaxColormapSize)
maximum_colors=MaxColormapSize;
depth=quantize_info->tree_depth;
if (depth == 0)
{
size_t
colors;
/*
Depth of color tree is: Log4(colormap size)+2.
*/
colors=maximum_colors;
for (depth=1; colors != 0; depth++)
colors>>=2;
if (quantize_info->dither_method != NoDitherMethod)
depth--;
}
/*
Initialize color cube.
*/
cube_info=GetCubeInfo(quantize_info,depth,maximum_colors);
if (cube_info == (CubeInfo *) NULL)
{
(void) ThrowMagickException(exception,GetMagickModule(),
ResourceLimitError,"MemoryAllocationFailed","`%s'",images->filename);
return(MagickFalse);
}
number_images=GetImageListLength(images);
image=images;
for (i=0; image != (Image *) NULL; i++)
{
progress_monitor=SetImageProgressMonitor(image,(MagickProgressMonitor) NULL,
image->client_data);
status=ClassifyImageColors(cube_info,image,exception);
if (status == MagickFalse)
break;
(void) SetImageProgressMonitor(image,progress_monitor,image->client_data);
proceed=SetImageProgress(image,AssignImageTag,(MagickOffsetType) i,
number_images);
if (proceed == MagickFalse)
break;
image=GetNextImageInList(image);
}
if (status != MagickFalse)
{
/*
Reduce the number of colors in an image sequence.
*/
ReduceImageColors(images,cube_info);
image=images;
for (i=0; image != (Image *) NULL; i++)
{
progress_monitor=SetImageProgressMonitor(image,(MagickProgressMonitor)
NULL,image->client_data);
status=AssignImageColors(image,cube_info,exception);
if (status == MagickFalse)
break;
(void) SetImageProgressMonitor(image,progress_monitor,
image->client_data);
proceed=SetImageProgress(image,AssignImageTag,(MagickOffsetType) i,
number_images);
if (proceed == MagickFalse)
break;
image=GetNextImageInList(image);
}
}
DestroyCubeInfo(cube_info);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ Q u a n t i z e E r r o r F l a t t e n %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% QuantizeErrorFlatten() traverses the color cube and flattens the quantization
% error into a sorted 1D array. This accelerates the color reduction process.
%
% Contributed by Yoya.
%
% The format of the QuantizeErrorFlatten method is:
%
% size_t QuantizeErrorFlatten(const CubeInfo *cube_info,
% const NodeInfo *node_info,const ssize_t offset,
% double *quantize_error)
%
% A description of each parameter follows.
%
% o cube_info: A pointer to the Cube structure.
%
% o node_info: pointer to node in color cube tree that is current pointer.
%
% o offset: quantize error offset.
%
% o quantize_error: the quantization error vector.
%
*/
static size_t QuantizeErrorFlatten(const CubeInfo *cube_info,
const NodeInfo *node_info,const ssize_t offset,double *quantize_error)
{
register ssize_t
i;
size_t
n,
number_children;
if (offset >= (ssize_t) cube_info->nodes)
return(0);
quantize_error[offset]=node_info->quantize_error;
n=1;
number_children=cube_info->associate_alpha == MagickFalse ? 8UL : 16UL;
for (i=0; i < (ssize_t) number_children ; i++)
if (node_info->child[i] != (NodeInfo *) NULL)
n+=QuantizeErrorFlatten(cube_info,node_info->child[i],offset+n,
quantize_error);
return(n);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ R e d u c e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Reduce() traverses the color cube tree and prunes any node whose
% quantization error falls below a particular threshold.
%
% The format of the Reduce method is:
%
% Reduce(CubeInfo *cube_info,const NodeInfo *node_info)
%
% A description of each parameter follows.
%
% o cube_info: A pointer to the Cube structure.
%
% o node_info: pointer to node in color cube tree that is to be pruned.
%
*/
static void Reduce(CubeInfo *cube_info,const NodeInfo *node_info)
{
register ssize_t
i;
size_t
number_children;
/*
Traverse any children.
*/
number_children=cube_info->associate_alpha == MagickFalse ? 8UL : 16UL;
for (i=0; i < (ssize_t) number_children; i++)
if (node_info->child[i] != (NodeInfo *) NULL)
Reduce(cube_info,node_info->child[i]);
if (node_info->quantize_error <= cube_info->pruning_threshold)
PruneChild(cube_info,node_info);
else
{
/*
Find minimum pruning threshold.
*/
if (node_info->number_unique > 0)
cube_info->colors++;
if (node_info->quantize_error < cube_info->next_threshold)
cube_info->next_threshold=node_info->quantize_error;
}
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ R e d u c e I m a g e C o l o r s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ReduceImageColors() repeatedly prunes the tree until the number of nodes
% with n2 > 0 is less than or equal to the maximum number of colors allowed
% in the output image. On any given iteration over the tree, it selects
% those nodes whose E value is minimal for pruning and merges their
% color statistics upward. It uses a pruning threshold, Ep, to govern
% node selection as follows:
%
% Ep = 0
% while number of nodes with (n2 > 0) > required maximum number of colors
% prune all nodes such that E <= Ep
% Set Ep to minimum E in remaining nodes
%
% This has the effect of minimizing any quantization error when merging
% two nodes together.
%
% When a node to be pruned has offspring, the pruning procedure invokes
% itself recursively in order to prune the tree from the leaves upward.
% n2, Sr, Sg, and Sb in a node being pruned are always added to the
% corresponding data in that node's parent. This retains the pruned
% node's color characteristics for later averaging.
%
% For each node, n2 pixels exist for which that node represents the
% smallest volume in RGB space containing those pixel's colors. When n2
% > 0 the node will uniquely define a color in the output image. At the
% beginning of reduction, n2 = 0 for all nodes except a the leaves of
% the tree which represent colors present in the input image.
%
% The other pixel count, n1, indicates the total number of colors
% within the cubic volume which the node represents. This includes n1 -
% n2 pixels whose colors should be defined by nodes at a lower level in
% the tree.
%
% The format of the ReduceImageColors method is:
%
% ReduceImageColors(const Image *image,CubeInfo *cube_info)
%
% A description of each parameter follows.
%
% o image: the image.
%
% o cube_info: A pointer to the Cube structure.
%
*/
static int QuantizeErrorCompare(const void *error_p,const void *error_q)
{
double
*p,
*q;
p=(double *) error_p;
q=(double *) error_q;
if (*p > *q)
return(1);
if (fabs(*q-*p) <= MagickEpsilon)
return(0);
return(-1);
}
static void ReduceImageColors(const Image *image,CubeInfo *cube_info)
{
#define ReduceImageTag "Reduce/Image"
MagickBooleanType
proceed;
MagickOffsetType
offset;
size_t
span;
cube_info->next_threshold=0.0;
if (cube_info->colors > cube_info->maximum_colors)
{
double
*quantize_error;
/*
Enable rapid reduction of the number of unique colors.
*/
quantize_error=(double *) AcquireQuantumMemory(cube_info->nodes,
sizeof(*quantize_error));
if (quantize_error != (double *) NULL)
{
(void) QuantizeErrorFlatten(cube_info,cube_info->root,0,
quantize_error);
qsort(quantize_error,cube_info->nodes,sizeof(double),
QuantizeErrorCompare);
if (cube_info->nodes > (110*(cube_info->maximum_colors+1)/100))
cube_info->next_threshold=quantize_error[cube_info->nodes-110*
(cube_info->maximum_colors+1)/100];
quantize_error=(double *) RelinquishMagickMemory(quantize_error);
}
}
for (span=cube_info->colors; cube_info->colors > cube_info->maximum_colors; )
{
cube_info->pruning_threshold=cube_info->next_threshold;
cube_info->next_threshold=cube_info->root->quantize_error-1;
cube_info->colors=0;
Reduce(cube_info,cube_info->root);
offset=(MagickOffsetType) span-cube_info->colors;
proceed=SetImageProgress(image,ReduceImageTag,offset,span-
cube_info->maximum_colors+1);
if (proceed == MagickFalse)
break;
}
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% R e m a p I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% RemapImage() replaces the colors of an image with the closest of the colors
% from the reference image.
%
% The format of the RemapImage method is:
%
% MagickBooleanType RemapImage(const QuantizeInfo *quantize_info,
% Image *image,const Image *remap_image,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o quantize_info: Specifies a pointer to an QuantizeInfo structure.
%
% o image: the image.
%
% o remap_image: the reference image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType RemapImage(const QuantizeInfo *quantize_info,
Image *image,const Image *remap_image,ExceptionInfo *exception)
{
CubeInfo
*cube_info;
MagickBooleanType
status;
/*
Initialize color cube.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(remap_image != (Image *) NULL);
assert(remap_image->signature == MagickCoreSignature);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
cube_info=GetCubeInfo(quantize_info,MaxTreeDepth,
quantize_info->number_colors);
if (cube_info == (CubeInfo *) NULL)
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
status=ClassifyImageColors(cube_info,remap_image,exception);
if (status != MagickFalse)
{
/*
Classify image colors from the reference image.
*/
cube_info->quantize_info->number_colors=cube_info->colors;
status=AssignImageColors(image,cube_info,exception);
}
DestroyCubeInfo(cube_info);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% R e m a p I m a g e s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% RemapImages() replaces the colors of a sequence of images with the
% closest color from a reference image.
%
% The format of the RemapImage method is:
%
% MagickBooleanType RemapImages(const QuantizeInfo *quantize_info,
% Image *images,Image *remap_image,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o quantize_info: Specifies a pointer to an QuantizeInfo structure.
%
% o images: the image sequence.
%
% o remap_image: the reference image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType RemapImages(const QuantizeInfo *quantize_info,
Image *images,const Image *remap_image,ExceptionInfo *exception)
{
CubeInfo
*cube_info;
Image
*image;
MagickBooleanType
status;
assert(images != (Image *) NULL);
assert(images->signature == MagickCoreSignature);
if (images->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",images->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
image=images;
if (remap_image == (Image *) NULL)
{
/*
Create a global colormap for an image sequence.
*/
status=QuantizeImages(quantize_info,images,exception);
return(status);
}
/*
Classify image colors from the reference image.
*/
cube_info=GetCubeInfo(quantize_info,MaxTreeDepth,
quantize_info->number_colors);
if (cube_info == (CubeInfo *) NULL)
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
status=ClassifyImageColors(cube_info,remap_image,exception);
if (status != MagickFalse)
{
/*
Classify image colors from the reference image.
*/
cube_info->quantize_info->number_colors=cube_info->colors;
image=images;
for ( ; image != (Image *) NULL; image=GetNextImageInList(image))
{
status=AssignImageColors(image,cube_info,exception);
if (status == MagickFalse)
break;
}
}
DestroyCubeInfo(cube_info);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t G r a y s c a l e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetGrayscaleImage() converts an image to a PseudoClass grayscale image.
%
% The format of the SetGrayscaleImage method is:
%
% MagickBooleanType SetGrayscaleImage(Image *image,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: The image.
%
% o exception: return any errors or warnings in this structure.
%
*/
#if defined(__cplusplus) || defined(c_plusplus)
extern "C" {
#endif
static int IntensityCompare(const void *x,const void *y)
{
PixelInfo
*color_1,
*color_2;
ssize_t
intensity;
color_1=(PixelInfo *) x;
color_2=(PixelInfo *) y;
intensity=(ssize_t) (GetPixelInfoIntensity((const Image *) NULL,color_1)-
GetPixelInfoIntensity((const Image *) NULL,color_2));
return((int) intensity);
}
#if defined(__cplusplus) || defined(c_plusplus)
}
#endif
static MagickBooleanType SetGrayscaleImage(Image *image,
ExceptionInfo *exception)
{
CacheView
*image_view;
MagickBooleanType
status;
PixelInfo
*colormap;
register ssize_t
i;
size_t
extent;
ssize_t
*colormap_index,
j,
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->type != GrayscaleType)
(void) TransformImageColorspace(image,GRAYColorspace,exception);
extent=MagickMax(image->colors+1,MagickMax(MaxColormapSize,MaxMap+1));
colormap_index=(ssize_t *) AcquireQuantumMemory(extent,
sizeof(*colormap_index));
if (colormap_index == (ssize_t *) NULL)
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
if (image->storage_class != PseudoClass)
{
(void) memset(colormap_index,(-1),extent*sizeof(*colormap_index));
if (AcquireImageColormap(image,MaxColormapSize,exception) == MagickFalse)
{
colormap_index=(ssize_t *) RelinquishMagickMemory(colormap_index);
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
}
image->colors=0;
status=MagickTrue;
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,
exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
register size_t
intensity;
intensity=ScaleQuantumToMap(GetPixelRed(image,q));
if (colormap_index[intensity] < 0)
{
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_SetGrayscaleImage)
#endif
if (colormap_index[intensity] < 0)
{
colormap_index[intensity]=(ssize_t) image->colors;
image->colormap[image->colors].red=(double)
GetPixelRed(image,q);
image->colormap[image->colors].green=(double)
GetPixelGreen(image,q);
image->colormap[image->colors].blue=(double)
GetPixelBlue(image,q);
image->colors++;
}
}
SetPixelIndex(image,(Quantum) colormap_index[intensity],q);
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
}
(void) memset(colormap_index,0,extent*sizeof(*colormap_index));
for (i=0; i < (ssize_t) image->colors; i++)
image->colormap[i].alpha=(double) i;
qsort((void *) image->colormap,image->colors,sizeof(PixelInfo),
IntensityCompare);
colormap=(PixelInfo *) AcquireQuantumMemory(image->colors,sizeof(*colormap));
if (colormap == (PixelInfo *) NULL)
{
colormap_index=(ssize_t *) RelinquishMagickMemory(colormap_index);
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
}
j=0;
colormap[j]=image->colormap[0];
for (i=0; i < (ssize_t) image->colors; i++)
{
if (IsPixelInfoEquivalent(&colormap[j],&image->colormap[i]) == MagickFalse)
{
j++;
colormap[j]=image->colormap[i];
}
colormap_index[(ssize_t) image->colormap[i].alpha]=j;
}
image->colors=(size_t) (j+1);
image->colormap=(PixelInfo *) RelinquishMagickMemory(image->colormap);
image->colormap=colormap;
status=MagickTrue;
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
SetPixelIndex(image,(Quantum) colormap_index[ScaleQuantumToMap(
GetPixelIndex(image,q))],q);
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
colormap_index=(ssize_t *) RelinquishMagickMemory(colormap_index);
image->type=GrayscaleType;
if (SetImageMonochrome(image,exception) != MagickFalse)
image->type=BilevelType;
return(status);
}
|
linux_bind.c | /**
* (C) Copyright 2014- ECMWF.
*
* This software is licensed under the terms of the Apache Licence Version 2.0
* which can be obtained at http://www.apache.org/licenses/LICENSE-2.0.
*
* In applying this licence, ECMWF does not waive the privileges and immunities
* granted to it by virtue of its status as an intergovernmental organisation
* nor does it submit to any jurisdiction.
*/
#if defined(LINUX) && !defined(DARWIN) && !defined(_CRAYC) && !defined(ECMWF)
#define _GNU_SOURCE
#include <stdio.h>
#include <stdlib.h>
#include <unistd.h>
#include <string.h>
#include <ctype.h>
#ifdef _OPENMP
#include <omp.h>
#endif
#include <sched.h>
static char * getcpumask (char *buffer, size_t size)
{
cpu_set_t mask;
unsigned int ncpu;
int icpu;
ncpu = sysconf (_SC_NPROCESSORS_CONF);
sched_getaffinity (0, sizeof (mask), &mask);
for (icpu = 0; icpu < ncpu; icpu++)
buffer[icpu] = CPU_ISSET (icpu, &mask) ? '1' : '0';
buffer[ncpu] = '\0';
return buffer;
}
void linux_bind_dump_ (int * prank, int * psize)
{
int rank = *prank;
int size = *psize;
int icpu;
unsigned int ncpu;
FILE * fp = NULL;
char f[256];
char host[255];
int nomp =
#ifdef _OPENMP
omp_get_max_threads ()
#else
1
#endif
;
ncpu = sysconf (_SC_NPROCESSORS_CONF);
sprintf (f, "linux_bind.%6.6d.txt", rank);
fp = fopen (f, "w");
if (gethostname (host, 255) != 0)
strcpy (host, "unknown");
fprintf (fp, " rank = %6d", rank);
fprintf (fp, " host = %9s", host);
fprintf (fp, " ncpu = %2d", ncpu);
fprintf (fp, " nomp = %2d", nomp);
{
char buffer[1024];
fprintf (fp, " mask = %s", getcpumask (buffer, sizeof (buffer)));
}
#ifdef _OPENMP
#pragma omp parallel
#endif
{
char buffer[1024];
int iomp =
#ifdef _OPENMP
omp_get_thread_num ()
#else
1
#endif
;
int i;
for (i = 0; i < nomp; i++)
{
if (i == iomp)
{
#ifdef _OPENMP
#pragma omp critical
#endif
fprintf (fp, "\n mask = %s iomp = %2d",
getcpumask (buffer, sizeof (buffer)), iomp);
}
#ifdef _OPENMP
#pragma omp barrier
#endif
}
#ifdef _OPENMP
#pragma omp barrier
#endif
}
fprintf (fp, "\n");
fclose (fp);
}
#define LINUX_BIND_TXT "linux_bind.txt"
void linux_bind_ (int * prank, int * psize)
{
int rank = *prank;
int size = *psize;
FILE * fp;
int i;
size_t len = 256;
char * buf = (char*)malloc (len);
const char * EC_LINUX_BIND;
EC_LINUX_BIND = getenv ("EC_LINUX_BIND");
if (EC_LINUX_BIND == NULL)
EC_LINUX_BIND = LINUX_BIND_TXT;
fp = fopen (EC_LINUX_BIND, "r");
if (fp == NULL)
{
// Willem Deconinck: Comment out as this pollutes logs
// fprintf (stderr, "`%s' was not found\n", EC_LINUX_BIND);
goto end;
}
for (i = 0; i < rank+1; i++)
{
if (getline (&buf, &len, fp) == -1)
{
fprintf (stderr, "Unexpected EOF while reading `" LINUX_BIND_TXT "'\n");
goto end;
}
}
#ifdef _OPENMP
#pragma omp parallel
#endif
{
char * c;
cpu_set_t mask;
int iomp =
#ifdef _OPENMP
omp_get_thread_num ()
#else
1
#endif
;
int jomp, icpu;
for (jomp = 0, c = buf; jomp < iomp; jomp++)
{
while (*c && isdigit (*c))
c++;
while (*c && (! isdigit (*c)))
c++;
if (*c == '\0')
{
fprintf (stderr, "Unexpected end of line while reading `" LINUX_BIND_TXT "'\n");
goto end_parallel;
}
}
CPU_ZERO (&mask);
for (icpu = 0; isdigit (*c); icpu++, c++)
if (*c != '0')
CPU_SET (icpu, &mask);
sched_setaffinity (0, sizeof (mask), &mask);
end_parallel:
c = NULL;
}
end:
if (fp != NULL)
fclose (fp);
free (buf);
}
#else
void linux_bind_ () { }
void linux_bind_dump_ () { }
#endif
|
dcm.h | //
// Created by yama on 16-4-21.
//
#ifndef LDA_DCM_H
#define LDA_DCM_H
#include <vector>
#include <cassert>
#include <omp.h>
#include <iostream>
#include <numeric>
#include <memory.h>
#include <algorithm>
#include <exception>
#include "types.h"
#include "clock.h"
#include "cva.h"
#include "thread_local.h"
#include "sort.h"
#include <atomic>
using std::vector;
/**
* ASSUMPTION
* each process invoke same number of threads for execution
*/
// TODO: row sum should be size_t
class DCMSparse {
private:
/**
* \var
* process_size : the number of process in MPI_COMM_WORLD
* process_id : process id of MPI_COMM_WORLD
*/
int process_size, process_id;
/**
* \var
* schematic diagram for distributed count matrix, namely SD in following text
* SD consists of 12 blocks. Each row is a partiton include 3 blocks, and each column is a copy include 4 blocks.
* 0 1 2 3
* copy copy copy copy
* 0 partition p00 p01 p02 p03
* 1 partition p10 p11 p12 p13
* 2 partition p20 p21 p22 p23
*
* partition_type : how to split data matrix, vertically(row_partition) or horizontally(column_partition)
* partition_size : the number of partitions. SD - partition_size = 3
* partition_id : index of this partition among all partitions. SD - partition_id of block p10 is "1"
* copy_size : the number of copy of each partition. SD - copy_size = 4
* copy_id : index of this copy inside the partition. SD - copy_id of block p10 is "0"
*
* DCM create MPI communicators using above concepts. Most communication happens inside the partition,
* occasionally some communicate happens inter partitions.
* intra_partition : communicator used inside the partition. SD - communicate among p0x
* inter_partition : communicator used inter partitions. SD - communicate among px0
* Respectively, Every process contain one only part of DCM, e.g. p00.
*/
PartitionType partition_type;
TCount partition_size, copy_size;
TId partition_id, copy_id;
MPI_Comm intra_partition, inter_partition;
/**
* row_size : number of rows of each block.
* column_size : number of columns of each block.
*/
TCoord row_size, column_size;
int thread_size;
TId monitor_id;
double local_merge_time_total, global_merge_time_total;
/*!
* TODO : normally, I should declare mono_tails within a std::deque, just like this
* std::deque<atomic<uintptr_t > > mono_tails;
* but there is a compiler bug
* {
* /usr/include/c++/5/bits/stl_uninitialized.h(557):
* internal error: assertion failed at: "shared/cfe/edgcpfe/types.c", line 2359
* std::__uninitialized_default_1<__is_trivial(_ValueType)
* }
* official response can be found here : https://software.intel.com/en-us/forums/intel-c-compiler/topic/685388
* currently the mono_tail is dynamically allocated
*/
// use by monolith local_merge_style
vector<uintptr_t> mono_heads;
atomic<uintptr_t> *mono_tails;
vector<TTopic> mono_buff;
// use by separate local_merge_style
vector<vector<Entry>> wbuff_thread;
vector<long long> wbuff_sorted;
vector<size_t> last_wbuff_thread_size;
LocalMergeStyle local_merge_style;
CVA<SpEntry> buff, merged;
vector<size_t> row_sum;
vector<size_t> row_sum_read;
ThreadLocal<vector<size_t>> local_row_sum_s;
ThreadLocal<vector<long long>> local_thread_kv;
ThreadLocal<vector<long long>> local_thread_temp;
ThreadLocal<vector<size_t>> local_thread_begin;
ThreadLocal<vector<size_t>> local_thread_end;
vector<SpEntry> recv_buff;
vector<size_t> recv_offsets_buff;
//T rtest, wtest;
void localMerge() {
//LOG_IF(INFO, process_id == monitor_id) << "local_merge_style " << local_merge_style;
if (monolith == local_merge_style) {
//LOG_IF(INFO, process_id == monitor_id) << "merge by mono " << local_merge_style;
// reset mono_tails
for (uintptr_t i = 0; i < mono_heads.size(); ++i)
mono_tails[i] = mono_heads[i];
#pragma omp parallel for
for (TIndex r = 0; r < row_size; r++) {
sort(mono_buff.begin() + mono_heads[r], mono_buff.begin() + mono_heads[r + 1]);
int last = -1, Kd = 0;
for (size_t i = mono_heads[r]; i < mono_heads[r + 1]; i++) {
TTopic value = mono_buff[i];
Kd += last != value;
last = value;
}
buff.SetSize(r, Kd);
/*
if (process_id == 0)
LOG(INFO) << r << " : " << Kd;
*/
}
buff.Init();
#pragma omp parallel for
for (TIndex r = 0; r < row_size; r++) {
int last = -1, Kd = 0;
auto row = buff.Get(r);
for (size_t i = mono_heads[r]; i < mono_heads[r + 1]; i++) {
TTopic value = mono_buff[i];
if (last != value)
row[Kd++] = SpEntry{value, 1};
else
row[Kd - 1].v++;
last = value;
}
}
} else {
//LOG_IF(INFO, process_id == monitor_id) << "merge by wbuff_thread " << local_merge_style;
Clock clk;
clk.tic();
// Bucket sort each thread
int key_digits = 0;
while ((1 << key_digits) < row_size) key_digits++;
int value_digits = 0;
while ((1 << value_digits) < column_size) value_digits++;
long long value_mask = (1LL << value_digits) - 1;
size_t total_size = 0;
for (auto &t: wbuff_thread) total_size += t.size();
wbuff_sorted.resize(total_size);
size_t wbuff_o_offset = 0;
/// Prepare wbuff_o for radix sort
for (int tid = 0; tid < thread_size; tid++) {
auto *wbuff_i = wbuff_thread[tid].data();
auto *wbuff_o = wbuff_sorted.data() + wbuff_o_offset;
size_t size = wbuff_thread[tid].size();
wbuff_o_offset += size;
for (size_t i = 0; i < size; i++)
wbuff_o[i] = (((long long) wbuff_i[i].r) << value_digits) + wbuff_i[i].c;
last_wbuff_thread_size[tid] = size;
vector<Entry>().swap(wbuff_thread[tid]);
}
Sort::RadixSort(wbuff_sorted.data(), total_size, key_digits + value_digits);
if (process_id == 0)
LOG(INFO) << "Bucket sort took " << clk.toc() << std::endl;
#define get_value(x) ((x)&value_mask)
#define get_key(x) ((x)>>value_digits)
clk.tic();
TSize omp_thread_size = omp_get_max_threads();
size_t interval = row_size / omp_thread_size;
std::vector<size_t> offsets(row_size + 1);
#pragma omp parallel for
for (TId tid = 0; tid < omp_thread_size; tid++) {
size_t begin = interval * tid;
size_t end = tid + 1 == omp_thread_size ? row_size : interval * (tid + 1);
size_t current_pos = lower_bound(wbuff_sorted.begin(), wbuff_sorted.end(), begin << value_digits)
- wbuff_sorted.begin();
for (int r = begin; r < end; r++) {
size_t next_pos = offsets[r] = current_pos;
int last = -1, Kd = 0;
while (next_pos < total_size && get_key(wbuff_sorted[next_pos]) == r) {
int value = get_value(wbuff_sorted[next_pos]);
Kd += last != value;
last = value;
next_pos++;
}
current_pos = next_pos;
buff.SetSize(r, Kd);
}
}
offsets.back() = total_size;
buff.Init();
#pragma omp parallel for
for (TIndex r = 0; r < row_size; r++) {
int last = -1;
int Kd = 0;
int count = 0;
auto row = buff.Get(r);
for (size_t i = offsets[r]; i < offsets[r + 1]; i++) {
int value = get_value(wbuff_sorted[i]);
if (last != value) {
row[Kd++] = SpEntry{value, 1};
} else
row[Kd - 1].v++;
last = value;
}
}
for (auto &buff: wbuff_thread)
buff.clear();
vector<long long>().swap(wbuff_sorted);
if (process_id == 0)
LOG(INFO) << "Count took " << clk.toc() << std::endl;
}
}
void globalMerge() {
// Alltoall
Clock clk;
clk.tic();
auto cvas = buff.Alltoall(intra_partition, copy_size,
recv_offsets_buff, recv_buff);
size_t alltoall_size = 0;
for (auto &cva: cvas) alltoall_size += cva.size();
// cout << "Alltoall received " << alltoall_size / 1048576 << endl;
// cout << "Alltoall takes " << clk.toc() << endl; clk.tic();
int R = cvas[0].R;
merged.R = R;
// Merge
#pragma omp parallel for
for (TIndex r = 0; r < R; r++) {
int tid = omp_get_thread_num();
auto &kv = local_thread_kv.Get();
auto &temp = local_thread_temp.Get();
auto &begin = local_thread_begin.Get();
auto &end = local_thread_end.Get();
begin.clear();
end.clear();
size_t size = 0;
for (auto &cva: cvas) size += cva.Get(r).size();
kv.resize(size);
temp.resize(size);
size = 0;
for (auto &cva: cvas) {
auto row = cva.Get(r);
for (int i = 0; i < row.size(); i++)
kv[size + i] = ((long long) row[i].k << 32) + row[i].v;
begin.push_back(size);
end.push_back(size += row.size());
}
Sort::MultiwayMerge(kv.data(), temp.data(),
begin, end);
int mask = (1LL << 32) - 1;
// Write back
int Kd = 0;
int last = -1;
for (auto &entry: kv) {
Kd += (entry >> 32) != last;
last = (entry >> 32);
}
merged.SetSize(r, Kd);
}
// cout << "Count takes " << clk.toc() << endl; clk.tic();
merged.Init();
#pragma omp parallel for
for (TIndex r = 0; r < R; r++) {
int tid = omp_get_thread_num();
auto &kv = local_thread_kv.Get();
auto &temp = local_thread_temp.Get();
auto &begin = local_thread_begin.Get();
auto &end = local_thread_end.Get();
begin.clear();
end.clear();
size_t size = 0;
for (auto &cva: cvas) size += cva.Get(r).size();
kv.resize(size);
temp.resize(size);
size = 0;
for (auto &cva: cvas) {
auto row = cva.Get(r);
for (int i = 0; i < row.size(); i++)
kv[size + i] = ((long long) row[i].k << 32) + row[i].v;
begin.push_back(size);
end.push_back(size += row.size());
}
Sort::MultiwayMerge(kv.data(), temp.data(),
begin, end);
int mask = (1LL << 32) - 1;
// Write back
auto b = merged.Get(r);
int last = -1;
int Kd = 0;
for (auto &entry: kv) {
if ((entry >> 32) != last)
b[Kd++] = SpEntry{(entry >> 32), entry & mask};
else
b[Kd - 1].v += (entry & mask);
last = (entry >> 32);
}
// Sort
//std::sort(b.begin(), b.end(),
// [](const SpEntry &a, const SpEntry &b) { return a.v > b.v; });
}
// cout << "Count2 takes " << clk.toc() << endl; clk.tic();
decltype(recv_buff)().swap(recv_buff);
// cout << "Merged is " << merged.size() << endl;
// Gather
buff.Allgather(intra_partition, copy_size, merged);
size_t totalAllgatherSize = buff.size();
if (process_id == 0)
LOG(INFO) << "Allgather Communicated " << (double) totalAllgatherSize / 1048576 <<
" MB. Alltoall communicated " << alltoall_size / 1048576 << " MB." << std::endl;
// cout << "Allgather takes " << clk.toc() << endl; clk.tic();
decltype(recv_buff)().swap(recv_buff);
}
public:
// Thread
DCMSparse(const int partition_size, const int copy_size, const int row_size, const int column_size,
PartitionType partition_type, const int process_size, const int process_id,
const int thread_size, LocalMergeStyle local_merge_style, TId monitor_id) :
partition_size(partition_size), copy_size(copy_size), row_size(row_size), column_size(column_size),
partition_type(partition_type), process_size(process_size), process_id(process_id),
thread_size(thread_size), buff(row_size), merged(row_size), local_merge_style(local_merge_style),
monitor_id(monitor_id) {
// TODO : max token number of each document
assert(process_size == partition_size * copy_size);
if (column_partition == partition_type) {
partition_id = process_id % partition_size;
copy_id = process_id / partition_size;
} else if (row_partition == partition_type) {
partition_id = process_id / copy_size;
copy_id = process_id % copy_size;
}
MPI_Comm_split(MPI_COMM_WORLD, partition_id, process_id, &intra_partition);
MPI_Comm_split(MPI_COMM_WORLD, copy_id, process_id, &inter_partition);
/*
printf("pid : %d - partition_size : %d, copy_size : %d, row_size : %d, column_size : %d, process_size : %d, thread_size : %d\n",
process_id, partition_size, copy_size, row_size, column_size, process_size, thread_size);
*/
wbuff_thread.resize(thread_size);
last_wbuff_thread_size.resize(thread_size);
for (auto &s: last_wbuff_thread_size) s = 0;
wbuff_sorted.resize(thread_size);
row_sum.resize(column_size);
row_sum_read.resize(column_size);
local_merge_time_total = 0;
global_merge_time_total = 0;
/*!
* documents words tokens token per doc token per word
* nips : 1422 12375 1828206 1285 148
* nytimes : 293793 101635 96904469 329 953
* pubmed : 8118463 141043 730529615 90 5179
*/
}
void set_mono_buff(vector<size_t>& sizes) {
/// Initialize the mono_heads, mono_tails and mono_buff
mono_heads.resize(sizes.size() + 1);
partial_sum(sizes.begin(), sizes.end(), mono_heads.begin() + 1);
mono_heads[0] = 0;
mono_tails = (std::atomic_uintptr_t *)
_mm_malloc(mono_heads.size() * sizeof(std::atomic_uintptr_t), ALIGN_SIZE);
for (uintptr_t i = 0; i < mono_heads.size(); ++i)
mono_tails[i] = mono_heads[i];
mono_buff.resize(mono_heads.back());
}
void free_mono_buff() {
_mm_free(mono_tails);
}
auto row(const int local_row_idx) -> decltype(buff.Get(0)) {
return buff.Get(local_row_idx);
}
void update(const unsigned int tid, const unsigned int local_row_idx, const unsigned int key) {
if (monolith == local_merge_style)
mono_buff[mono_tails[local_row_idx]++] = key;
else
wbuff_thread[tid].push_back(Entry{local_row_idx, key});
}
size_t *rowMarginal() {
// Compute row_sum
std::fill(row_sum_read.begin(), row_sum_read.end(), 0);
local_row_sum_s.Fill(row_sum_read);
#pragma omp parallel for
for (int r = 0; r < row_size; r++) {
auto &count = local_row_sum_s.Get();
auto row = buff.Get(r);
for (auto &entry: row)
count[entry.k] += entry.v;
}
for (auto &count: local_row_sum_s)
for (int c = 0; c < column_size; c++)
row_sum_read[c] += count[c];
MPI_Allreduce(row_sum_read.data(), row_sum.data(), column_size,
MPI_UNSIGNED_LONG_LONG, MPI_SUM, inter_partition);
return row_sum.data();
}
void sync() {
/*
for (int i = 0; i < mono_heads.size() - 1; ++i) {
LOG_IF(ERROR, mono_tails[i] != mono_heads[i + 1])
<< "i : " << i << " head " << mono_heads[i + 1] << " tail " << mono_tails[i];
}
*/
Clock clk;
// merge inside single node
clk.tic();
localMerge();
LOG_IF(INFO, process_id == monitor_id) << "Local merge took " << clk.toc() << std::endl;
local_merge_time_total += clk.toc();
clk.tic();
globalMerge();
LOG_IF(INFO, process_id == monitor_id) << "Global merge took " << clk.toc() << std::endl;
global_merge_time_total += clk.toc();
for (int tid = 0; tid < thread_size; tid++)
wbuff_thread[tid].reserve(last_wbuff_thread_size[tid] * 1.2);
//printf("pid : %d - global merge done\n", process_id);
size_t wbuff_thread_size = 0;
for (auto &v: wbuff_thread) wbuff_thread_size += v.capacity();
LOG_IF(INFO, process_id == monitor_id) << "wbuff_thread " << wbuff_thread_size * sizeof(Entry)
<< ", buff " << buff.size()
<< ", merged " << merged.size()
<< ", recv_buff " << recv_buff.capacity() * sizeof(SpEntry)
<< std::endl;
}
double averageColumnSize() {
double avg = 0;
for (TIndex r = 0; r < row_size; r++) {
auto row = buff.Get(r);
avg += row.size();
LOG_IF(FATAL, row.size() == 0) << "pid : " << process_id
<< " the rbuff_key of row " << r << " d is empty";
}
return avg / row_size;
}
void show_time_elapse() {
LOG_IF(INFO, process_id == monitor_id) << "Local merge totally took " << local_merge_time_total << " s";
LOG_IF(INFO, process_id == monitor_id) << "Global merge totally took " << global_merge_time_total << " s";
}
};
#endif //LDA_DCM_H
|
trsm_x_bsr_u_lo_col.c | #include "alphasparse/opt.h"
#include "alphasparse/kernel.h"
#include "alphasparse/util.h"
alphasparse_status_t ONAME(const ALPHA_Number alpha, const ALPHA_SPMAT_BSR *A, const ALPHA_Number *x, const ALPHA_INT columns, const ALPHA_INT ldx, ALPHA_Number *y, const ALPHA_INT ldy)
{
const ALPHA_INT num_thread = alpha_get_thread_num();
const ALPHA_INT bs = A->block_size;
const ALPHA_INT m = A->rows * bs;
const ALPHA_INT n = A->cols * bs;
const ALPHA_INT bs2 = bs * bs;
const ALPHA_INT b_rows = m / bs;
const ALPHA_INT b_cols = n / bs;
const alphasparse_layout_t block_layout = A->block_layout;
if(block_layout != ALPHA_SPARSE_LAYOUT_COLUMN_MAJOR)
{
printf("layout not consistent!!!\n");
exit(-1);
}
#ifdef _OPENMP
#pragma omp parallel for num_threads(num_thread)
#endif
for(ALPHA_INT out_y_col = 0; out_y_col < columns; out_y_col++)
{
ALPHA_Number* temp = (ALPHA_Number*) alpha_malloc(bs*sizeof(ALPHA_Number));
const ALPHA_INT y0_offset = out_y_col * ldy;
const ALPHA_INT x0_offset = out_y_col * ldx;
for (ALPHA_INT br = 0; br < b_rows; br++)
{
for(ALPHA_INT i = 0 ; i < bs ; i++){
alpha_setzero(temp[i]);
}
ALPHA_INT diagBlock = -1;
for (ALPHA_INT ai = A->rows_start[br]; ai < A->rows_end[br]; ai++)
{
ALPHA_INT bc = A->col_indx[ai];
if(bc < br)
//col-major
for(ALPHA_INT col = 0; col < bs; col++)
{
//all entities belongs to upper triangle
ALPHA_INT y_offset = y0_offset + bc * bs + col;
ALPHA_INT a0_offset = ai * bs2 + col * bs;
for(ALPHA_INT row = 0 ; row < bs ; row++)
{
ALPHA_INT ele_offset = a0_offset + row;
alpha_madde(temp[row], A->values[ ele_offset ] ,y[y_offset]);
}
}
//diagonal must be none-zero block
if( bc==br ){
diagBlock = ai;
}
}
if(diagBlock == -1)
{
printf("lhs matrix invalid for trsm!!!\n");
exit(-1);
}
//col-major
//top-left most
for(ALPHA_INT col = 0; col < bs; col++)
{
//upper triangle of block
ALPHA_Number t;
alpha_setzero(t);
alpha_mul(t,alpha,x[x0_offset + br * bs + col]);
alpha_sub(y[y0_offset + br * bs + col],t,temp[col]);
for(ALPHA_INT row = col + 1; row < bs; row++){
alpha_madde(temp[row], A->values[ diagBlock * bs2 + col * bs + row],y[y0_offset + br * bs + col ]);
}
}
}
alpha_free(temp);
}
return ALPHA_SPARSE_STATUS_SUCCESS;
}
|
Sema.h | //===--- Sema.h - Semantic Analysis & AST Building --------------*- C++ -*-===//
//
// The LLVM Compiler Infrastructure
//
// This file is distributed under the University of Illinois Open Source
// License. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
//
// This file defines the Sema class, which performs semantic analysis and
// builds ASTs.
//
//===----------------------------------------------------------------------===//
#ifndef LLVM_CLANG_SEMA_SEMA_H
#define LLVM_CLANG_SEMA_SEMA_H
#include "clang/AST/Attr.h"
#include "clang/AST/Availability.h"
#include "clang/AST/DeclarationName.h"
#include "clang/AST/DeclTemplate.h"
#include "clang/AST/Expr.h"
#include "clang/AST/ExprObjC.h"
#include "clang/AST/ExternalASTSource.h"
#include "clang/AST/LocInfoType.h"
#include "clang/AST/MangleNumberingContext.h"
#include "clang/AST/NSAPI.h"
#include "clang/AST/PrettyPrinter.h"
#include "clang/AST/TypeLoc.h"
#include "clang/APINotes/APINotesManager.h"
#include "clang/AST/TypeOrdering.h"
#include "clang/Basic/ExpressionTraits.h"
#include "clang/Basic/LangOptions.h"
#include "clang/Basic/Module.h"
#include "clang/Basic/OpenMPKinds.h"
#include "clang/Basic/PragmaKinds.h"
#include "clang/Basic/Specifiers.h"
#include "clang/Basic/TemplateKinds.h"
#include "clang/Basic/TypeTraits.h"
#include "clang/Sema/AnalysisBasedWarnings.h"
#include "clang/Sema/CleanupInfo.h"
#include "clang/Sema/DeclSpec.h"
#include "clang/Sema/ExternalSemaSource.h"
#include "clang/Sema/IdentifierResolver.h"
#include "clang/Sema/ObjCMethodList.h"
#include "clang/Sema/Ownership.h"
#include "clang/Sema/Scope.h"
#include "clang/Sema/ScopeInfo.h"
#include "clang/Sema/TypoCorrection.h"
#include "clang/Sema/Weak.h"
#include "llvm/ADT/ArrayRef.h"
#include "llvm/ADT/Optional.h"
#include "llvm/ADT/SetVector.h"
#include "llvm/ADT/SmallPtrSet.h"
#include "llvm/ADT/SmallVector.h"
#include "llvm/ADT/TinyPtrVector.h"
#include <deque>
#include <functional>
#include <memory>
#include <string>
#include <vector>
namespace llvm {
class APSInt;
template <typename ValueT> struct DenseMapInfo;
template <typename ValueT, typename ValueInfoT> class DenseSet;
class SmallBitVector;
class InlineAsmIdentifierInfo;
}
namespace clang {
class ADLResult;
class ASTConsumer;
class ASTContext;
class ASTMutationListener;
class ASTReader;
class ASTWriter;
class ArrayType;
class AttributeList;
class BindingDecl;
class BlockDecl;
class CapturedDecl;
class CXXBasePath;
class CXXBasePaths;
class CXXBindTemporaryExpr;
typedef SmallVector<CXXBaseSpecifier*, 4> CXXCastPath;
class CXXConstructorDecl;
class CXXConversionDecl;
class CXXDeleteExpr;
class CXXDestructorDecl;
class CXXFieldCollector;
class CXXMemberCallExpr;
class CXXMethodDecl;
class CXXScopeSpec;
class CXXTemporary;
class CXXTryStmt;
class CallExpr;
class ClassTemplateDecl;
class ClassTemplatePartialSpecializationDecl;
class ClassTemplateSpecializationDecl;
class VarTemplatePartialSpecializationDecl;
class CodeCompleteConsumer;
class CodeCompletionAllocator;
class CodeCompletionTUInfo;
class CodeCompletionResult;
class Decl;
class DeclAccessPair;
class DeclContext;
class DeclRefExpr;
class DeclaratorDecl;
class DeducedTemplateArgument;
class DependentDiagnostic;
class DesignatedInitExpr;
class Designation;
class EnableIfAttr;
class EnumConstantDecl;
class Expr;
class ExtVectorType;
class FormatAttr;
class FriendDecl;
class FunctionDecl;
class FunctionProtoType;
class FunctionTemplateDecl;
class ImplicitConversionSequence;
typedef MutableArrayRef<ImplicitConversionSequence> ConversionSequenceList;
class InitListExpr;
class InitializationKind;
class InitializationSequence;
class InitializedEntity;
class IntegerLiteral;
class LabelStmt;
class LambdaExpr;
class LangOptions;
class LocalInstantiationScope;
class LookupResult;
class MacroInfo;
typedef ArrayRef<std::pair<IdentifierInfo *, SourceLocation>> ModuleIdPath;
class ModuleLoader;
class MultiLevelTemplateArgumentList;
class NamedDecl;
class ObjCCategoryDecl;
class ObjCCategoryImplDecl;
class ObjCCompatibleAliasDecl;
class ObjCContainerDecl;
class ObjCImplDecl;
class ObjCImplementationDecl;
class ObjCInterfaceDecl;
class ObjCIvarDecl;
template <class T> class ObjCList;
class ObjCMessageExpr;
class ObjCMethodDecl;
class ObjCPropertyDecl;
class ObjCProtocolDecl;
class OMPThreadPrivateDecl;
class OMPDeclareReductionDecl;
class OMPDeclareSimdDecl;
class OMPClause;
struct OverloadCandidate;
class OverloadCandidateSet;
class OverloadExpr;
class ParenListExpr;
class ParmVarDecl;
class Preprocessor;
class PseudoDestructorTypeStorage;
class PseudoObjectExpr;
class QualType;
class StandardConversionSequence;
class Stmt;
class StringLiteral;
class SwitchStmt;
class TemplateArgument;
class TemplateArgumentList;
class TemplateArgumentLoc;
class TemplateDecl;
class TemplateParameterList;
class TemplatePartialOrderingContext;
class TemplateTemplateParmDecl;
class Token;
class TypeAliasDecl;
class TypedefDecl;
class TypedefNameDecl;
class TypeLoc;
class TypoCorrectionConsumer;
class UnqualifiedId;
class UnresolvedLookupExpr;
class UnresolvedMemberExpr;
class UnresolvedSetImpl;
class UnresolvedSetIterator;
class UsingDecl;
class UsingShadowDecl;
class ValueDecl;
class VarDecl;
class VarTemplateSpecializationDecl;
class VisibilityAttr;
class VisibleDeclConsumer;
class IndirectFieldDecl;
struct DeductionFailureInfo;
class TemplateSpecCandidateSet;
namespace sema {
class AccessedEntity;
class BlockScopeInfo;
class CapturedRegionScopeInfo;
class CapturingScopeInfo;
class CompoundScopeInfo;
class DelayedDiagnostic;
class DelayedDiagnosticPool;
class FunctionScopeInfo;
class LambdaScopeInfo;
class PossiblyUnreachableDiag;
class TemplateDeductionInfo;
}
namespace threadSafety {
class BeforeSet;
void threadSafetyCleanup(BeforeSet* Cache);
}
// FIXME: No way to easily map from TemplateTypeParmTypes to
// TemplateTypeParmDecls, so we have this horrible PointerUnion.
typedef std::pair<llvm::PointerUnion<const TemplateTypeParmType*, NamedDecl*>,
SourceLocation> UnexpandedParameterPack;
/// Describes whether we've seen any nullability information for the given
/// file.
struct FileNullability {
/// The first pointer declarator (of any pointer kind) in the file that does
/// not have a corresponding nullability annotation.
SourceLocation PointerLoc;
/// Which kind of pointer declarator we saw.
uint8_t PointerKind;
/// Whether we saw any type nullability annotations in the given file.
bool SawTypeNullability = false;
};
/// A mapping from file IDs to a record of whether we've seen nullability
/// information in that file.
class FileNullabilityMap {
/// A mapping from file IDs to the nullability information for each file ID.
llvm::DenseMap<FileID, FileNullability> Map;
/// A single-element cache based on the file ID.
struct {
FileID File;
FileNullability Nullability;
} Cache;
public:
FileNullability &operator[](FileID file) {
// Check the single-element cache.
if (file == Cache.File)
return Cache.Nullability;
// It's not in the single-element cache; flush the cache if we have one.
if (!Cache.File.isInvalid()) {
Map[Cache.File] = Cache.Nullability;
}
// Pull this entry into the cache.
Cache.File = file;
Cache.Nullability = Map[file];
return Cache.Nullability;
}
};
/// Sema - This implements semantic analysis and AST building for C.
class Sema {
Sema(const Sema &) = delete;
void operator=(const Sema &) = delete;
///\brief Source of additional semantic information.
ExternalSemaSource *ExternalSource;
///\brief Whether Sema has generated a multiplexer and has to delete it.
bool isMultiplexExternalSource;
static bool mightHaveNonExternalLinkage(const DeclaratorDecl *FD);
bool isVisibleSlow(const NamedDecl *D);
bool shouldLinkPossiblyHiddenDecl(const NamedDecl *Old,
const NamedDecl *New) {
// We are about to link these. It is now safe to compute the linkage of
// the new decl. If the new decl has external linkage, we will
// link it with the hidden decl (which also has external linkage) and
// it will keep having external linkage. If it has internal linkage, we
// will not link it. Since it has no previous decls, it will remain
// with internal linkage.
return isVisible(Old) || New->isExternallyVisible();
}
bool shouldLinkPossiblyHiddenDecl(LookupResult &Old, const NamedDecl *New);
public:
typedef OpaquePtr<DeclGroupRef> DeclGroupPtrTy;
typedef OpaquePtr<TemplateName> TemplateTy;
typedef OpaquePtr<QualType> TypeTy;
OpenCLOptions OpenCLFeatures;
FPOptions FPFeatures;
const LangOptions &LangOpts;
Preprocessor &PP;
ASTContext &Context;
ASTConsumer &Consumer;
DiagnosticsEngine &Diags;
SourceManager &SourceMgr;
api_notes::APINotesManager APINotes;
/// \brief Flag indicating whether or not to collect detailed statistics.
bool CollectStats;
/// \brief Code-completion consumer.
CodeCompleteConsumer *CodeCompleter;
/// CurContext - This is the current declaration context of parsing.
DeclContext *CurContext;
/// \brief Generally null except when we temporarily switch decl contexts,
/// like in \see ActOnObjCTemporaryExitContainerContext.
DeclContext *OriginalLexicalContext;
/// VAListTagName - The declaration name corresponding to __va_list_tag.
/// This is used as part of a hack to omit that class from ADL results.
DeclarationName VAListTagName;
bool MSStructPragmaOn; // True when \#pragma ms_struct on
/// \brief Controls member pointer representation format under the MS ABI.
LangOptions::PragmaMSPointersToMembersKind
MSPointerToMemberRepresentationMethod;
/// Stack of active SEH __finally scopes. Can be empty.
SmallVector<Scope*, 2> CurrentSEHFinally;
/// \brief Source location for newly created implicit MSInheritanceAttrs
SourceLocation ImplicitMSInheritanceAttrLoc;
enum PragmaMsStackAction {
PSK_Reset = 0x0, // #pragma ()
PSK_Set = 0x1, // #pragma (value)
PSK_Push = 0x2, // #pragma (push[, id])
PSK_Pop = 0x4, // #pragma (pop[, id])
PSK_Show = 0x8, // #pragma (show) -- only for "pack"!
PSK_Push_Set = PSK_Push | PSK_Set, // #pragma (push[, id], value)
PSK_Pop_Set = PSK_Pop | PSK_Set, // #pragma (pop[, id], value)
};
template<typename ValueType>
struct PragmaStack {
struct Slot {
llvm::StringRef StackSlotLabel;
ValueType Value;
SourceLocation PragmaLocation;
Slot(llvm::StringRef StackSlotLabel,
ValueType Value,
SourceLocation PragmaLocation)
: StackSlotLabel(StackSlotLabel), Value(Value),
PragmaLocation(PragmaLocation) {}
};
void Act(SourceLocation PragmaLocation,
PragmaMsStackAction Action,
llvm::StringRef StackSlotLabel,
ValueType Value);
// MSVC seems to add artificial slots to #pragma stacks on entering a C++
// method body to restore the stacks on exit, so it works like this:
//
// struct S {
// #pragma <name>(push, InternalPragmaSlot, <current_pragma_value>)
// void Method {}
// #pragma <name>(pop, InternalPragmaSlot)
// };
//
// It works even with #pragma vtordisp, although MSVC doesn't support
// #pragma vtordisp(push [, id], n)
// syntax.
//
// Push / pop a named sentinel slot.
void SentinelAction(PragmaMsStackAction Action, StringRef Label) {
assert((Action == PSK_Push || Action == PSK_Pop) &&
"Can only push / pop #pragma stack sentinels!");
Act(CurrentPragmaLocation, Action, Label, CurrentValue);
}
// Constructors.
explicit PragmaStack(const ValueType &Default)
: DefaultValue(Default), CurrentValue(Default) {}
SmallVector<Slot, 2> Stack;
ValueType DefaultValue; // Value used for PSK_Reset action.
ValueType CurrentValue;
SourceLocation CurrentPragmaLocation;
};
// FIXME: We should serialize / deserialize these if they occur in a PCH (but
// we shouldn't do so if they're in a module).
/// \brief Whether to insert vtordisps prior to virtual bases in the Microsoft
/// C++ ABI. Possible values are 0, 1, and 2, which mean:
///
/// 0: Suppress all vtordisps
/// 1: Insert vtordisps in the presence of vbase overrides and non-trivial
/// structors
/// 2: Always insert vtordisps to support RTTI on partially constructed
/// objects
PragmaStack<MSVtorDispAttr::Mode> VtorDispStack;
// #pragma pack.
// Sentinel to represent when the stack is set to mac68k alignment.
static const unsigned kMac68kAlignmentSentinel = ~0U;
PragmaStack<unsigned> PackStack;
// Segment #pragmas.
PragmaStack<StringLiteral *> DataSegStack;
PragmaStack<StringLiteral *> BSSSegStack;
PragmaStack<StringLiteral *> ConstSegStack;
PragmaStack<StringLiteral *> CodeSegStack;
// RAII object to push / pop sentinel slots for all MS #pragma stacks.
// Actions should be performed only if we enter / exit a C++ method body.
class PragmaStackSentinelRAII {
public:
PragmaStackSentinelRAII(Sema &S, StringRef SlotLabel, bool ShouldAct);
~PragmaStackSentinelRAII();
private:
Sema &S;
StringRef SlotLabel;
bool ShouldAct;
};
/// A mapping that describes the nullability we've seen in each header file.
FileNullabilityMap NullabilityMap;
/// Last section used with #pragma init_seg.
StringLiteral *CurInitSeg;
SourceLocation CurInitSegLoc;
/// VisContext - Manages the stack for \#pragma GCC visibility.
void *VisContext; // Really a "PragmaVisStack*"
/// \brief This represents the stack of attributes that were pushed by
/// \#pragma clang attribute.
struct PragmaAttributeEntry {
SourceLocation Loc;
AttributeList *Attribute;
SmallVector<attr::SubjectMatchRule, 4> MatchRules;
bool IsUsed;
};
SmallVector<PragmaAttributeEntry, 2> PragmaAttributeStack;
/// \brief The declaration that is currently receiving an attribute from the
/// #pragma attribute stack.
const Decl *PragmaAttributeCurrentTargetDecl;
/// \brief This represents the last location of a "#pragma clang optimize off"
/// directive if such a directive has not been closed by an "on" yet. If
/// optimizations are currently "on", this is set to an invalid location.
SourceLocation OptimizeOffPragmaLocation;
/// \brief Flag indicating if Sema is building a recovery call expression.
///
/// This flag is used to avoid building recovery call expressions
/// if Sema is already doing so, which would cause infinite recursions.
bool IsBuildingRecoveryCallExpr;
/// Used to control the generation of ExprWithCleanups.
CleanupInfo Cleanup;
/// ExprCleanupObjects - This is the stack of objects requiring
/// cleanup that are created by the current full expression. The
/// element type here is ExprWithCleanups::Object.
SmallVector<BlockDecl*, 8> ExprCleanupObjects;
/// \brief Store a list of either DeclRefExprs or MemberExprs
/// that contain a reference to a variable (constant) that may or may not
/// be odr-used in this Expr, and we won't know until all lvalue-to-rvalue
/// and discarded value conversions have been applied to all subexpressions
/// of the enclosing full expression. This is cleared at the end of each
/// full expression.
llvm::SmallPtrSet<Expr*, 2> MaybeODRUseExprs;
/// \brief Stack containing information about each of the nested
/// function, block, and method scopes that are currently active.
///
/// This array is never empty. Clients should ignore the first
/// element, which is used to cache a single FunctionScopeInfo
/// that's used to parse every top-level function.
SmallVector<sema::FunctionScopeInfo *, 4> FunctionScopes;
typedef LazyVector<TypedefNameDecl *, ExternalSemaSource,
&ExternalSemaSource::ReadExtVectorDecls, 2, 2>
ExtVectorDeclsType;
/// ExtVectorDecls - This is a list all the extended vector types. This allows
/// us to associate a raw vector type with one of the ext_vector type names.
/// This is only necessary for issuing pretty diagnostics.
ExtVectorDeclsType ExtVectorDecls;
/// FieldCollector - Collects CXXFieldDecls during parsing of C++ classes.
std::unique_ptr<CXXFieldCollector> FieldCollector;
typedef llvm::SmallSetVector<const NamedDecl*, 16> NamedDeclSetType;
/// \brief Set containing all declared private fields that are not used.
NamedDeclSetType UnusedPrivateFields;
/// \brief Set containing all typedefs that are likely unused.
llvm::SmallSetVector<const TypedefNameDecl *, 4>
UnusedLocalTypedefNameCandidates;
/// \brief Delete-expressions to be analyzed at the end of translation unit
///
/// This list contains class members, and locations of delete-expressions
/// that could not be proven as to whether they mismatch with new-expression
/// used in initializer of the field.
typedef std::pair<SourceLocation, bool> DeleteExprLoc;
typedef llvm::SmallVector<DeleteExprLoc, 4> DeleteLocs;
llvm::MapVector<FieldDecl *, DeleteLocs> DeleteExprs;
typedef llvm::SmallPtrSet<const CXXRecordDecl*, 8> RecordDeclSetTy;
/// PureVirtualClassDiagSet - a set of class declarations which we have
/// emitted a list of pure virtual functions. Used to prevent emitting the
/// same list more than once.
std::unique_ptr<RecordDeclSetTy> PureVirtualClassDiagSet;
/// ParsingInitForAutoVars - a set of declarations with auto types for which
/// we are currently parsing the initializer.
llvm::SmallPtrSet<const Decl*, 4> ParsingInitForAutoVars;
/// \brief Look for a locally scoped extern "C" declaration by the given name.
NamedDecl *findLocallyScopedExternCDecl(DeclarationName Name);
typedef LazyVector<VarDecl *, ExternalSemaSource,
&ExternalSemaSource::ReadTentativeDefinitions, 2, 2>
TentativeDefinitionsType;
/// \brief All the tentative definitions encountered in the TU.
TentativeDefinitionsType TentativeDefinitions;
typedef LazyVector<const DeclaratorDecl *, ExternalSemaSource,
&ExternalSemaSource::ReadUnusedFileScopedDecls, 2, 2>
UnusedFileScopedDeclsType;
/// \brief The set of file scoped decls seen so far that have not been used
/// and must warn if not used. Only contains the first declaration.
UnusedFileScopedDeclsType UnusedFileScopedDecls;
typedef LazyVector<CXXConstructorDecl *, ExternalSemaSource,
&ExternalSemaSource::ReadDelegatingConstructors, 2, 2>
DelegatingCtorDeclsType;
/// \brief All the delegating constructors seen so far in the file, used for
/// cycle detection at the end of the TU.
DelegatingCtorDeclsType DelegatingCtorDecls;
/// \brief All the overriding functions seen during a class definition
/// that had their exception spec checks delayed, plus the overridden
/// function.
SmallVector<std::pair<const CXXMethodDecl*, const CXXMethodDecl*>, 2>
DelayedExceptionSpecChecks;
/// \brief All the members seen during a class definition which were both
/// explicitly defaulted and had explicitly-specified exception
/// specifications, along with the function type containing their
/// user-specified exception specification. Those exception specifications
/// were overridden with the default specifications, but we still need to
/// check whether they are compatible with the default specification, and
/// we can't do that until the nesting set of class definitions is complete.
SmallVector<std::pair<CXXMethodDecl*, const FunctionProtoType*>, 2>
DelayedDefaultedMemberExceptionSpecs;
typedef llvm::MapVector<const FunctionDecl *,
std::unique_ptr<LateParsedTemplate>>
LateParsedTemplateMapT;
LateParsedTemplateMapT LateParsedTemplateMap;
/// \brief Callback to the parser to parse templated functions when needed.
typedef void LateTemplateParserCB(void *P, LateParsedTemplate &LPT);
typedef void LateTemplateParserCleanupCB(void *P);
LateTemplateParserCB *LateTemplateParser;
LateTemplateParserCleanupCB *LateTemplateParserCleanup;
void *OpaqueParser;
void SetLateTemplateParser(LateTemplateParserCB *LTP,
LateTemplateParserCleanupCB *LTPCleanup,
void *P) {
LateTemplateParser = LTP;
LateTemplateParserCleanup = LTPCleanup;
OpaqueParser = P;
}
/// \brief Callback to the parser to parse a type expressed as a string.
std::function<TypeResult(StringRef, StringRef, SourceLocation)>
ParseTypeFromStringCallback;
class DelayedDiagnostics;
class DelayedDiagnosticsState {
sema::DelayedDiagnosticPool *SavedPool;
friend class Sema::DelayedDiagnostics;
};
typedef DelayedDiagnosticsState ParsingDeclState;
typedef DelayedDiagnosticsState ProcessingContextState;
/// A class which encapsulates the logic for delaying diagnostics
/// during parsing and other processing.
class DelayedDiagnostics {
/// \brief The current pool of diagnostics into which delayed
/// diagnostics should go.
sema::DelayedDiagnosticPool *CurPool;
public:
DelayedDiagnostics() : CurPool(nullptr) {}
/// Adds a delayed diagnostic.
void add(const sema::DelayedDiagnostic &diag); // in DelayedDiagnostic.h
/// Determines whether diagnostics should be delayed.
bool shouldDelayDiagnostics() { return CurPool != nullptr; }
/// Returns the current delayed-diagnostics pool.
sema::DelayedDiagnosticPool *getCurrentPool() const {
return CurPool;
}
/// Enter a new scope. Access and deprecation diagnostics will be
/// collected in this pool.
DelayedDiagnosticsState push(sema::DelayedDiagnosticPool &pool) {
DelayedDiagnosticsState state;
state.SavedPool = CurPool;
CurPool = &pool;
return state;
}
/// Leave a delayed-diagnostic state that was previously pushed.
/// Do not emit any of the diagnostics. This is performed as part
/// of the bookkeeping of popping a pool "properly".
void popWithoutEmitting(DelayedDiagnosticsState state) {
CurPool = state.SavedPool;
}
/// Enter a new scope where access and deprecation diagnostics are
/// not delayed.
DelayedDiagnosticsState pushUndelayed() {
DelayedDiagnosticsState state;
state.SavedPool = CurPool;
CurPool = nullptr;
return state;
}
/// Undo a previous pushUndelayed().
void popUndelayed(DelayedDiagnosticsState state) {
assert(CurPool == nullptr);
CurPool = state.SavedPool;
}
} DelayedDiagnostics;
/// A RAII object to temporarily push a declaration context.
class ContextRAII {
private:
Sema &S;
DeclContext *SavedContext;
ProcessingContextState SavedContextState;
QualType SavedCXXThisTypeOverride;
public:
ContextRAII(Sema &S, DeclContext *ContextToPush, bool NewThisContext = true)
: S(S), SavedContext(S.CurContext),
SavedContextState(S.DelayedDiagnostics.pushUndelayed()),
SavedCXXThisTypeOverride(S.CXXThisTypeOverride)
{
assert(ContextToPush && "pushing null context");
S.CurContext = ContextToPush;
if (NewThisContext)
S.CXXThisTypeOverride = QualType();
}
void pop() {
if (!SavedContext) return;
S.CurContext = SavedContext;
S.DelayedDiagnostics.popUndelayed(SavedContextState);
S.CXXThisTypeOverride = SavedCXXThisTypeOverride;
SavedContext = nullptr;
}
~ContextRAII() {
pop();
}
};
/// \brief RAII object to handle the state changes required to synthesize
/// a function body.
class SynthesizedFunctionScope {
Sema &S;
Sema::ContextRAII SavedContext;
public:
SynthesizedFunctionScope(Sema &S, DeclContext *DC)
: S(S), SavedContext(S, DC)
{
S.PushFunctionScope();
S.PushExpressionEvaluationContext(Sema::PotentiallyEvaluated);
}
~SynthesizedFunctionScope() {
S.PopExpressionEvaluationContext();
S.PopFunctionScopeInfo();
}
};
/// WeakUndeclaredIdentifiers - Identifiers contained in
/// \#pragma weak before declared. rare. may alias another
/// identifier, declared or undeclared
llvm::MapVector<IdentifierInfo *, WeakInfo> WeakUndeclaredIdentifiers;
/// ExtnameUndeclaredIdentifiers - Identifiers contained in
/// \#pragma redefine_extname before declared. Used in Solaris system headers
/// to define functions that occur in multiple standards to call the version
/// in the currently selected standard.
llvm::DenseMap<IdentifierInfo*,AsmLabelAttr*> ExtnameUndeclaredIdentifiers;
/// \brief Load weak undeclared identifiers from the external source.
void LoadExternalWeakUndeclaredIdentifiers();
/// WeakTopLevelDecl - Translation-unit scoped declarations generated by
/// \#pragma weak during processing of other Decls.
/// I couldn't figure out a clean way to generate these in-line, so
/// we store them here and handle separately -- which is a hack.
/// It would be best to refactor this.
SmallVector<Decl*,2> WeakTopLevelDecl;
IdentifierResolver IdResolver;
/// Translation Unit Scope - useful to Objective-C actions that need
/// to lookup file scope declarations in the "ordinary" C decl namespace.
/// For example, user-defined classes, built-in "id" type, etc.
Scope *TUScope;
/// \brief The C++ "std" namespace, where the standard library resides.
LazyDeclPtr StdNamespace;
/// \brief The C++ "std::bad_alloc" class, which is defined by the C++
/// standard library.
LazyDeclPtr StdBadAlloc;
/// \brief The C++ "std::align_val_t" enum class, which is defined by the C++
/// standard library.
LazyDeclPtr StdAlignValT;
/// \brief The C++ "std::experimental" namespace, where the experimental parts
/// of the standard library resides.
NamespaceDecl *StdExperimentalNamespaceCache;
/// \brief The C++ "std::initializer_list" template, which is defined in
/// \<initializer_list>.
ClassTemplateDecl *StdInitializerList;
/// \brief The C++ "type_info" declaration, which is defined in \<typeinfo>.
RecordDecl *CXXTypeInfoDecl;
/// \brief The MSVC "_GUID" struct, which is defined in MSVC header files.
RecordDecl *MSVCGuidDecl;
/// \brief Caches identifiers/selectors for NSFoundation APIs.
std::unique_ptr<NSAPI> NSAPIObj;
/// \brief The declaration of the Objective-C NSNumber class.
ObjCInterfaceDecl *NSNumberDecl;
/// \brief The declaration of the Objective-C NSValue class.
ObjCInterfaceDecl *NSValueDecl;
/// \brief Pointer to NSNumber type (NSNumber *).
QualType NSNumberPointer;
/// \brief Pointer to NSValue type (NSValue *).
QualType NSValuePointer;
/// \brief The Objective-C NSNumber methods used to create NSNumber literals.
ObjCMethodDecl *NSNumberLiteralMethods[NSAPI::NumNSNumberLiteralMethods];
/// \brief The declaration of the Objective-C NSString class.
ObjCInterfaceDecl *NSStringDecl;
/// \brief Pointer to NSString type (NSString *).
QualType NSStringPointer;
/// \brief The declaration of the stringWithUTF8String: method.
ObjCMethodDecl *StringWithUTF8StringMethod;
/// \brief The declaration of the valueWithBytes:objCType: method.
ObjCMethodDecl *ValueWithBytesObjCTypeMethod;
/// \brief The declaration of the Objective-C NSArray class.
ObjCInterfaceDecl *NSArrayDecl;
/// \brief The declaration of the arrayWithObjects:count: method.
ObjCMethodDecl *ArrayWithObjectsMethod;
/// \brief The declaration of the Objective-C NSDictionary class.
ObjCInterfaceDecl *NSDictionaryDecl;
/// \brief The declaration of the dictionaryWithObjects:forKeys:count: method.
ObjCMethodDecl *DictionaryWithObjectsMethod;
/// \brief id<NSCopying> type.
QualType QIDNSCopying;
/// \brief will hold 'respondsToSelector:'
Selector RespondsToSelectorSel;
/// A flag to remember whether the implicit forms of operator new and delete
/// have been declared.
bool GlobalNewDeleteDeclared;
/// A flag to indicate that we're in a context that permits abstract
/// references to fields. This is really a
bool AllowAbstractFieldReference;
/// \brief Describes how the expressions currently being parsed are
/// evaluated at run-time, if at all.
enum ExpressionEvaluationContext {
/// \brief The current expression and its subexpressions occur within an
/// unevaluated operand (C++11 [expr]p7), such as the subexpression of
/// \c sizeof, where the type of the expression may be significant but
/// no code will be generated to evaluate the value of the expression at
/// run time.
Unevaluated,
/// \brief The current expression occurs within a braced-init-list within
/// an unevaluated operand. This is mostly like a regular unevaluated
/// context, except that we still instantiate constexpr functions that are
/// referenced here so that we can perform narrowing checks correctly.
UnevaluatedList,
/// \brief The current expression occurs within a discarded statement.
/// This behaves largely similarly to an unevaluated operand in preventing
/// definitions from being required, but not in other ways.
DiscardedStatement,
/// \brief The current expression occurs within an unevaluated
/// operand that unconditionally permits abstract references to
/// fields, such as a SIZE operator in MS-style inline assembly.
UnevaluatedAbstract,
/// \brief The current context is "potentially evaluated" in C++11 terms,
/// but the expression is evaluated at compile-time (like the values of
/// cases in a switch statement).
ConstantEvaluated,
/// \brief The current expression is potentially evaluated at run time,
/// which means that code may be generated to evaluate the value of the
/// expression at run time.
PotentiallyEvaluated,
/// \brief The current expression is potentially evaluated, but any
/// declarations referenced inside that expression are only used if
/// in fact the current expression is used.
///
/// This value is used when parsing default function arguments, for which
/// we would like to provide diagnostics (e.g., passing non-POD arguments
/// through varargs) but do not want to mark declarations as "referenced"
/// until the default argument is used.
PotentiallyEvaluatedIfUsed
};
/// \brief Data structure used to record current or nested
/// expression evaluation contexts.
struct ExpressionEvaluationContextRecord {
/// \brief The expression evaluation context.
ExpressionEvaluationContext Context;
/// \brief Whether the enclosing context needed a cleanup.
CleanupInfo ParentCleanup;
/// \brief Whether we are in a decltype expression.
bool IsDecltype;
/// \brief The number of active cleanup objects when we entered
/// this expression evaluation context.
unsigned NumCleanupObjects;
/// \brief The number of typos encountered during this expression evaluation
/// context (i.e. the number of TypoExprs created).
unsigned NumTypos;
llvm::SmallPtrSet<Expr*, 2> SavedMaybeODRUseExprs;
/// \brief The lambdas that are present within this context, if it
/// is indeed an unevaluated context.
SmallVector<LambdaExpr *, 2> Lambdas;
/// \brief The declaration that provides context for lambda expressions
/// and block literals if the normal declaration context does not
/// suffice, e.g., in a default function argument.
Decl *ManglingContextDecl;
/// \brief The context information used to mangle lambda expressions
/// and block literals within this context.
///
/// This mangling information is allocated lazily, since most contexts
/// do not have lambda expressions or block literals.
std::unique_ptr<MangleNumberingContext> MangleNumbering;
/// \brief If we are processing a decltype type, a set of call expressions
/// for which we have deferred checking the completeness of the return type.
SmallVector<CallExpr *, 8> DelayedDecltypeCalls;
/// \brief If we are processing a decltype type, a set of temporary binding
/// expressions for which we have deferred checking the destructor.
SmallVector<CXXBindTemporaryExpr *, 8> DelayedDecltypeBinds;
ExpressionEvaluationContextRecord(ExpressionEvaluationContext Context,
unsigned NumCleanupObjects,
CleanupInfo ParentCleanup,
Decl *ManglingContextDecl,
bool IsDecltype)
: Context(Context), ParentCleanup(ParentCleanup),
IsDecltype(IsDecltype), NumCleanupObjects(NumCleanupObjects),
NumTypos(0),
ManglingContextDecl(ManglingContextDecl), MangleNumbering() { }
/// \brief Retrieve the mangling numbering context, used to consistently
/// number constructs like lambdas for mangling.
MangleNumberingContext &getMangleNumberingContext(ASTContext &Ctx);
bool isUnevaluated() const {
return Context == Unevaluated || Context == UnevaluatedAbstract ||
Context == UnevaluatedList;
}
};
/// A stack of expression evaluation contexts.
SmallVector<ExpressionEvaluationContextRecord, 8> ExprEvalContexts;
/// \brief Compute the mangling number context for a lambda expression or
/// block literal.
///
/// \param DC - The DeclContext containing the lambda expression or
/// block literal.
/// \param[out] ManglingContextDecl - Returns the ManglingContextDecl
/// associated with the context, if relevant.
MangleNumberingContext *getCurrentMangleNumberContext(
const DeclContext *DC,
Decl *&ManglingContextDecl);
/// SpecialMemberOverloadResult - The overloading result for a special member
/// function.
///
/// This is basically a wrapper around PointerIntPair. The lowest bits of the
/// integer are used to determine whether overload resolution succeeded.
class SpecialMemberOverloadResult : public llvm::FastFoldingSetNode {
public:
enum Kind {
NoMemberOrDeleted,
Ambiguous,
Success
};
private:
llvm::PointerIntPair<CXXMethodDecl*, 2> Pair;
public:
SpecialMemberOverloadResult(const llvm::FoldingSetNodeID &ID)
: FastFoldingSetNode(ID)
{}
CXXMethodDecl *getMethod() const { return Pair.getPointer(); }
void setMethod(CXXMethodDecl *MD) { Pair.setPointer(MD); }
Kind getKind() const { return static_cast<Kind>(Pair.getInt()); }
void setKind(Kind K) { Pair.setInt(K); }
};
/// \brief A cache of special member function overload resolution results
/// for C++ records.
llvm::FoldingSet<SpecialMemberOverloadResult> SpecialMemberCache;
/// \brief A cache of the flags available in enumerations with the flag_bits
/// attribute.
mutable llvm::DenseMap<const EnumDecl*, llvm::APInt> FlagBitsCache;
/// \brief The kind of translation unit we are processing.
///
/// When we're processing a complete translation unit, Sema will perform
/// end-of-translation-unit semantic tasks (such as creating
/// initializers for tentative definitions in C) once parsing has
/// completed. Modules and precompiled headers perform different kinds of
/// checks.
TranslationUnitKind TUKind;
llvm::BumpPtrAllocator BumpAlloc;
/// \brief The number of SFINAE diagnostics that have been trapped.
unsigned NumSFINAEErrors;
typedef llvm::DenseMap<ParmVarDecl *, llvm::TinyPtrVector<ParmVarDecl *>>
UnparsedDefaultArgInstantiationsMap;
/// \brief A mapping from parameters with unparsed default arguments to the
/// set of instantiations of each parameter.
///
/// This mapping is a temporary data structure used when parsing
/// nested class templates or nested classes of class templates,
/// where we might end up instantiating an inner class before the
/// default arguments of its methods have been parsed.
UnparsedDefaultArgInstantiationsMap UnparsedDefaultArgInstantiations;
// Contains the locations of the beginning of unparsed default
// argument locations.
llvm::DenseMap<ParmVarDecl *, SourceLocation> UnparsedDefaultArgLocs;
/// UndefinedInternals - all the used, undefined objects which require a
/// definition in this translation unit.
llvm::MapVector<NamedDecl *, SourceLocation> UndefinedButUsed;
/// Obtain a sorted list of functions that are undefined but ODR-used.
void getUndefinedButUsed(
SmallVectorImpl<std::pair<NamedDecl *, SourceLocation> > &Undefined);
/// Retrieves list of suspicious delete-expressions that will be checked at
/// the end of translation unit.
const llvm::MapVector<FieldDecl *, DeleteLocs> &
getMismatchingDeleteExpressions() const;
typedef std::pair<ObjCMethodList, ObjCMethodList> GlobalMethods;
typedef llvm::DenseMap<Selector, GlobalMethods> GlobalMethodPool;
/// Method Pool - allows efficient lookup when typechecking messages to "id".
/// We need to maintain a list, since selectors can have differing signatures
/// across classes. In Cocoa, this happens to be extremely uncommon (only 1%
/// of selectors are "overloaded").
/// At the head of the list it is recorded whether there were 0, 1, or >= 2
/// methods inside categories with a particular selector.
GlobalMethodPool MethodPool;
/// Method selectors used in a \@selector expression. Used for implementation
/// of -Wselector.
llvm::MapVector<Selector, SourceLocation> ReferencedSelectors;
/// Kinds of C++ special members.
enum CXXSpecialMember {
CXXDefaultConstructor,
CXXCopyConstructor,
CXXMoveConstructor,
CXXCopyAssignment,
CXXMoveAssignment,
CXXDestructor,
CXXInvalid
};
typedef std::pair<CXXRecordDecl*, CXXSpecialMember> SpecialMemberDecl;
/// The C++ special members which we are currently in the process of
/// declaring. If this process recursively triggers the declaration of the
/// same special member, we should act as if it is not yet declared.
llvm::SmallSet<SpecialMemberDecl, 4> SpecialMembersBeingDeclared;
/// The function definitions which were renamed as part of typo-correction
/// to match their respective declarations. We want to keep track of them
/// to ensure that we don't emit a "redefinition" error if we encounter a
/// correctly named definition after the renamed definition.
llvm::SmallPtrSet<const NamedDecl *, 4> TypoCorrectedFunctionDefinitions;
void ReadMethodPool(Selector Sel);
void updateOutOfDateSelector(Selector Sel);
/// Private Helper predicate to check for 'self'.
bool isSelfExpr(Expr *RExpr);
bool isSelfExpr(Expr *RExpr, const ObjCMethodDecl *Method);
/// \brief Cause the active diagnostic on the DiagosticsEngine to be
/// emitted. This is closely coupled to the SemaDiagnosticBuilder class and
/// should not be used elsewhere.
void EmitCurrentDiagnostic(unsigned DiagID);
/// Records and restores the FP_CONTRACT state on entry/exit of compound
/// statements.
class FPContractStateRAII {
public:
FPContractStateRAII(Sema &S) : S(S), OldFPFeaturesState(S.FPFeatures) {}
~FPContractStateRAII() { S.FPFeatures = OldFPFeaturesState; }
private:
Sema& S;
FPOptions OldFPFeaturesState;
};
void addImplicitTypedef(StringRef Name, QualType T);
public:
Sema(Preprocessor &pp, ASTContext &ctxt, ASTConsumer &consumer,
TranslationUnitKind TUKind = TU_Complete,
CodeCompleteConsumer *CompletionConsumer = nullptr);
~Sema();
/// \brief Perform initialization that occurs after the parser has been
/// initialized but before it parses anything.
void Initialize();
const LangOptions &getLangOpts() const { return LangOpts; }
OpenCLOptions &getOpenCLOptions() { return OpenCLFeatures; }
FPOptions &getFPOptions() { return FPFeatures; }
DiagnosticsEngine &getDiagnostics() const { return Diags; }
SourceManager &getSourceManager() const { return SourceMgr; }
Preprocessor &getPreprocessor() const { return PP; }
ASTContext &getASTContext() const { return Context; }
ASTConsumer &getASTConsumer() const { return Consumer; }
ASTMutationListener *getASTMutationListener() const;
ExternalSemaSource* getExternalSource() const { return ExternalSource; }
///\brief Registers an external source. If an external source already exists,
/// creates a multiplex external source and appends to it.
///
///\param[in] E - A non-null external sema source.
///
void addExternalSource(ExternalSemaSource *E);
void PrintStats() const;
/// \brief Helper class that creates diagnostics with optional
/// template instantiation stacks.
///
/// This class provides a wrapper around the basic DiagnosticBuilder
/// class that emits diagnostics. SemaDiagnosticBuilder is
/// responsible for emitting the diagnostic (as DiagnosticBuilder
/// does) and, if the diagnostic comes from inside a template
/// instantiation, printing the template instantiation stack as
/// well.
class SemaDiagnosticBuilder : public DiagnosticBuilder {
Sema &SemaRef;
unsigned DiagID;
public:
SemaDiagnosticBuilder(DiagnosticBuilder &DB, Sema &SemaRef, unsigned DiagID)
: DiagnosticBuilder(DB), SemaRef(SemaRef), DiagID(DiagID) { }
// This is a cunning lie. DiagnosticBuilder actually performs move
// construction in its copy constructor (but due to varied uses, it's not
// possible to conveniently express this as actual move construction). So
// the default copy ctor here is fine, because the base class disables the
// source anyway, so the user-defined ~SemaDiagnosticBuilder is a safe no-op
// in that case anwyay.
SemaDiagnosticBuilder(const SemaDiagnosticBuilder&) = default;
~SemaDiagnosticBuilder() {
// If we aren't active, there is nothing to do.
if (!isActive()) return;
// Otherwise, we need to emit the diagnostic. First flush the underlying
// DiagnosticBuilder data, and clear the diagnostic builder itself so it
// won't emit the diagnostic in its own destructor.
//
// This seems wasteful, in that as written the DiagnosticBuilder dtor will
// do its own needless checks to see if the diagnostic needs to be
// emitted. However, because we take care to ensure that the builder
// objects never escape, a sufficiently smart compiler will be able to
// eliminate that code.
FlushCounts();
Clear();
// Dispatch to Sema to emit the diagnostic.
SemaRef.EmitCurrentDiagnostic(DiagID);
}
/// Teach operator<< to produce an object of the correct type.
template<typename T>
friend const SemaDiagnosticBuilder &operator<<(
const SemaDiagnosticBuilder &Diag, const T &Value) {
const DiagnosticBuilder &BaseDiag = Diag;
BaseDiag << Value;
return Diag;
}
};
/// \brief Emit a diagnostic.
SemaDiagnosticBuilder Diag(SourceLocation Loc, unsigned DiagID) {
DiagnosticBuilder DB = Diags.Report(Loc, DiagID);
return SemaDiagnosticBuilder(DB, *this, DiagID);
}
/// \brief Emit a partial diagnostic.
SemaDiagnosticBuilder Diag(SourceLocation Loc, const PartialDiagnostic& PD);
/// \brief Build a partial diagnostic.
PartialDiagnostic PDiag(unsigned DiagID = 0); // in SemaInternal.h
bool findMacroSpelling(SourceLocation &loc, StringRef name);
/// \brief Get a string to suggest for zero-initialization of a type.
std::string
getFixItZeroInitializerForType(QualType T, SourceLocation Loc) const;
std::string getFixItZeroLiteralForType(QualType T, SourceLocation Loc) const;
/// \brief Calls \c Lexer::getLocForEndOfToken()
SourceLocation getLocForEndOfToken(SourceLocation Loc, unsigned Offset = 0);
/// \brief Retrieve the module loader associated with the preprocessor.
ModuleLoader &getModuleLoader() const;
void emitAndClearUnusedLocalTypedefWarnings();
void ActOnEndOfTranslationUnit();
void CheckDelegatingCtorCycles();
Scope *getScopeForContext(DeclContext *Ctx);
void PushFunctionScope();
void PushBlockScope(Scope *BlockScope, BlockDecl *Block);
sema::LambdaScopeInfo *PushLambdaScope();
/// \brief This is used to inform Sema what the current TemplateParameterDepth
/// is during Parsing. Currently it is used to pass on the depth
/// when parsing generic lambda 'auto' parameters.
void RecordParsingTemplateParameterDepth(unsigned Depth);
void PushCapturedRegionScope(Scope *RegionScope, CapturedDecl *CD,
RecordDecl *RD,
CapturedRegionKind K);
void
PopFunctionScopeInfo(const sema::AnalysisBasedWarnings::Policy *WP = nullptr,
const Decl *D = nullptr,
const BlockExpr *blkExpr = nullptr);
sema::FunctionScopeInfo *getCurFunction() const {
return FunctionScopes.back();
}
sema::FunctionScopeInfo *getEnclosingFunction() const {
if (FunctionScopes.empty())
return nullptr;
for (int e = FunctionScopes.size()-1; e >= 0; --e) {
if (isa<sema::BlockScopeInfo>(FunctionScopes[e]))
continue;
return FunctionScopes[e];
}
return nullptr;
}
template <typename ExprT>
void recordUseOfEvaluatedWeak(const ExprT *E, bool IsRead=true) {
if (!isUnevaluatedContext())
getCurFunction()->recordUseOfWeak(E, IsRead);
}
void PushCompoundScope();
void PopCompoundScope();
sema::CompoundScopeInfo &getCurCompoundScope() const;
bool hasAnyUnrecoverableErrorsInThisFunction() const;
/// \brief Retrieve the current block, if any.
sema::BlockScopeInfo *getCurBlock();
/// Retrieve the current lambda scope info, if any.
/// \param IgnoreNonLambdaCapturingScope true if should find the top-most
/// lambda scope info ignoring all inner capturing scopes that are not
/// lambda scopes.
sema::LambdaScopeInfo *
getCurLambda(bool IgnoreNonLambdaCapturingScope = false);
/// \brief Retrieve the current generic lambda info, if any.
sema::LambdaScopeInfo *getCurGenericLambda();
/// \brief Retrieve the current captured region, if any.
sema::CapturedRegionScopeInfo *getCurCapturedRegion();
/// WeakTopLevelDeclDecls - access to \#pragma weak-generated Decls
SmallVectorImpl<Decl *> &WeakTopLevelDecls() { return WeakTopLevelDecl; }
void ActOnComment(SourceRange Comment);
//===--------------------------------------------------------------------===//
// Type Analysis / Processing: SemaType.cpp.
//
QualType BuildQualifiedType(QualType T, SourceLocation Loc, Qualifiers Qs,
const DeclSpec *DS = nullptr);
QualType BuildQualifiedType(QualType T, SourceLocation Loc, unsigned CVRA,
const DeclSpec *DS = nullptr);
QualType BuildPointerType(QualType T,
SourceLocation Loc, DeclarationName Entity);
QualType BuildReferenceType(QualType T, bool LValueRef,
SourceLocation Loc, DeclarationName Entity);
QualType BuildArrayType(QualType T, ArrayType::ArraySizeModifier ASM,
Expr *ArraySize, unsigned Quals,
SourceRange Brackets, DeclarationName Entity);
QualType BuildExtVectorType(QualType T, Expr *ArraySize,
SourceLocation AttrLoc);
bool CheckFunctionReturnType(QualType T, SourceLocation Loc);
/// \brief Build a function type.
///
/// This routine checks the function type according to C++ rules and
/// under the assumption that the result type and parameter types have
/// just been instantiated from a template. It therefore duplicates
/// some of the behavior of GetTypeForDeclarator, but in a much
/// simpler form that is only suitable for this narrow use case.
///
/// \param T The return type of the function.
///
/// \param ParamTypes The parameter types of the function. This array
/// will be modified to account for adjustments to the types of the
/// function parameters.
///
/// \param Loc The location of the entity whose type involves this
/// function type or, if there is no such entity, the location of the
/// type that will have function type.
///
/// \param Entity The name of the entity that involves the function
/// type, if known.
///
/// \param EPI Extra information about the function type. Usually this will
/// be taken from an existing function with the same prototype.
///
/// \returns A suitable function type, if there are no errors. The
/// unqualified type will always be a FunctionProtoType.
/// Otherwise, returns a NULL type.
QualType BuildFunctionType(QualType T,
MutableArrayRef<QualType> ParamTypes,
SourceLocation Loc, DeclarationName Entity,
const FunctionProtoType::ExtProtoInfo &EPI);
QualType BuildMemberPointerType(QualType T, QualType Class,
SourceLocation Loc,
DeclarationName Entity);
QualType BuildBlockPointerType(QualType T,
SourceLocation Loc, DeclarationName Entity);
QualType BuildParenType(QualType T);
QualType BuildAtomicType(QualType T, SourceLocation Loc);
QualType BuildReadPipeType(QualType T,
SourceLocation Loc);
QualType BuildWritePipeType(QualType T,
SourceLocation Loc);
TypeSourceInfo *GetTypeForDeclarator(Declarator &D, Scope *S);
TypeSourceInfo *GetTypeForDeclaratorCast(Declarator &D, QualType FromTy);
TypeSourceInfo *GetTypeSourceInfoForDeclarator(Declarator &D, QualType T,
TypeSourceInfo *ReturnTypeInfo);
/// \brief Package the given type and TSI into a ParsedType.
ParsedType CreateParsedType(QualType T, TypeSourceInfo *TInfo);
DeclarationNameInfo GetNameForDeclarator(Declarator &D);
DeclarationNameInfo GetNameFromUnqualifiedId(const UnqualifiedId &Name);
static QualType GetTypeFromParser(ParsedType Ty,
TypeSourceInfo **TInfo = nullptr);
CanThrowResult canThrow(const Expr *E);
const FunctionProtoType *ResolveExceptionSpec(SourceLocation Loc,
const FunctionProtoType *FPT);
void UpdateExceptionSpec(FunctionDecl *FD,
const FunctionProtoType::ExceptionSpecInfo &ESI);
bool CheckSpecifiedExceptionType(QualType &T, SourceRange Range);
bool CheckDistantExceptionSpec(QualType T);
bool CheckEquivalentExceptionSpec(FunctionDecl *Old, FunctionDecl *New);
bool CheckEquivalentExceptionSpec(
const FunctionProtoType *Old, SourceLocation OldLoc,
const FunctionProtoType *New, SourceLocation NewLoc);
bool CheckEquivalentExceptionSpec(
const PartialDiagnostic &DiagID, const PartialDiagnostic & NoteID,
const FunctionProtoType *Old, SourceLocation OldLoc,
const FunctionProtoType *New, SourceLocation NewLoc);
bool CheckExceptionSpecSubset(const PartialDiagnostic &DiagID,
const PartialDiagnostic &NestedDiagID,
const PartialDiagnostic &NoteID,
const FunctionProtoType *Superset,
SourceLocation SuperLoc,
const FunctionProtoType *Subset,
SourceLocation SubLoc);
bool CheckParamExceptionSpec(const PartialDiagnostic &NestedDiagID,
const PartialDiagnostic &NoteID,
const FunctionProtoType *Target,
SourceLocation TargetLoc,
const FunctionProtoType *Source,
SourceLocation SourceLoc);
TypeResult ActOnTypeName(Scope *S, Declarator &D);
/// \brief The parser has parsed the context-sensitive type 'instancetype'
/// in an Objective-C message declaration. Return the appropriate type.
ParsedType ActOnObjCInstanceType(SourceLocation Loc);
/// \brief Abstract class used to diagnose incomplete types.
struct TypeDiagnoser {
TypeDiagnoser() {}
virtual void diagnose(Sema &S, SourceLocation Loc, QualType T) = 0;
virtual ~TypeDiagnoser() {}
};
static int getPrintable(int I) { return I; }
static unsigned getPrintable(unsigned I) { return I; }
static bool getPrintable(bool B) { return B; }
static const char * getPrintable(const char *S) { return S; }
static StringRef getPrintable(StringRef S) { return S; }
static const std::string &getPrintable(const std::string &S) { return S; }
static const IdentifierInfo *getPrintable(const IdentifierInfo *II) {
return II;
}
static DeclarationName getPrintable(DeclarationName N) { return N; }
static QualType getPrintable(QualType T) { return T; }
static SourceRange getPrintable(SourceRange R) { return R; }
static SourceRange getPrintable(SourceLocation L) { return L; }
static SourceRange getPrintable(const Expr *E) { return E->getSourceRange(); }
static SourceRange getPrintable(TypeLoc TL) { return TL.getSourceRange();}
template <typename... Ts> class BoundTypeDiagnoser : public TypeDiagnoser {
unsigned DiagID;
std::tuple<const Ts &...> Args;
template <std::size_t... Is>
void emit(const SemaDiagnosticBuilder &DB,
llvm::index_sequence<Is...>) const {
// Apply all tuple elements to the builder in order.
bool Dummy[] = {false, (DB << getPrintable(std::get<Is>(Args)))...};
(void)Dummy;
}
public:
BoundTypeDiagnoser(unsigned DiagID, const Ts &...Args)
: TypeDiagnoser(), DiagID(DiagID), Args(Args...) {
assert(DiagID != 0 && "no diagnostic for type diagnoser");
}
void diagnose(Sema &S, SourceLocation Loc, QualType T) override {
const SemaDiagnosticBuilder &DB = S.Diag(Loc, DiagID);
emit(DB, llvm::index_sequence_for<Ts...>());
DB << T;
}
};
/// Do a check to make sure \p Name looks like a legal swift_name
/// attribute for the decl \p D. Raise a diagnostic if the name is invalid
/// for the given declaration.
///
/// For a function, this will validate a compound Swift name,
/// e.g. <code>init(foo:bar:baz:)</code> or <code>controllerForName(_:)</code>,
/// and the function will output the number of parameter names, and whether
/// this is a single-arg initializer.
///
/// For a type, enum constant, property, or variable declaration, this will
/// validate either a simple identifier, or a qualified
/// <code>context.identifier</code> name.
///
/// \returns true if the name is a valid swift name for \p D, false otherwise.
bool DiagnoseSwiftName(Decl *D, StringRef Name,
SourceLocation ArgLoc,
IdentifierInfo *AttrName);
private:
bool RequireCompleteTypeImpl(SourceLocation Loc, QualType T,
TypeDiagnoser *Diagnoser);
struct ModuleScope {
clang::Module *Module;
VisibleModuleSet OuterVisibleModules;
};
/// The modules we're currently parsing.
llvm::SmallVector<ModuleScope, 16> ModuleScopes;
VisibleModuleSet VisibleModules;
Module *CachedFakeTopLevelModule;
public:
/// \brief Get the module owning an entity.
Module *getOwningModule(Decl *Entity);
/// \brief Make a merged definition of an existing hidden definition \p ND
/// visible at the specified location.
void makeMergedDefinitionVisible(NamedDecl *ND, SourceLocation Loc);
bool isModuleVisible(Module *M) { return VisibleModules.isVisible(M); }
/// Determine whether a declaration is visible to name lookup.
bool isVisible(const NamedDecl *D) {
return !D->isHidden() || isVisibleSlow(D);
}
/// Determine whether any declaration of an entity is visible.
bool
hasVisibleDeclaration(const NamedDecl *D,
llvm::SmallVectorImpl<Module *> *Modules = nullptr) {
return isVisible(D) || hasVisibleDeclarationSlow(D, Modules);
}
bool hasVisibleDeclarationSlow(const NamedDecl *D,
llvm::SmallVectorImpl<Module *> *Modules);
bool hasVisibleMergedDefinition(NamedDecl *Def);
/// Determine if \p D has a visible definition. If not, suggest a declaration
/// that should be made visible to expose the definition.
bool hasVisibleDefinition(NamedDecl *D, NamedDecl **Suggested,
bool OnlyNeedComplete = false);
bool hasVisibleDefinition(const NamedDecl *D) {
NamedDecl *Hidden;
return hasVisibleDefinition(const_cast<NamedDecl*>(D), &Hidden);
}
/// Determine if the template parameter \p D has a visible default argument.
bool
hasVisibleDefaultArgument(const NamedDecl *D,
llvm::SmallVectorImpl<Module *> *Modules = nullptr);
/// Determine if there is a visible declaration of \p D that is a member
/// specialization declaration (as opposed to an instantiated declaration).
bool hasVisibleMemberSpecialization(
const NamedDecl *D, llvm::SmallVectorImpl<Module *> *Modules = nullptr);
/// Determine if \p A and \p B are equivalent internal linkage declarations
/// from different modules, and thus an ambiguity error can be downgraded to
/// an extension warning.
bool isEquivalentInternalLinkageDeclaration(const NamedDecl *A,
const NamedDecl *B);
void diagnoseEquivalentInternalLinkageDeclarations(
SourceLocation Loc, const NamedDecl *D,
ArrayRef<const NamedDecl *> Equiv);
bool isCompleteType(SourceLocation Loc, QualType T) {
return !RequireCompleteTypeImpl(Loc, T, nullptr);
}
bool RequireCompleteType(SourceLocation Loc, QualType T,
TypeDiagnoser &Diagnoser);
bool RequireCompleteType(SourceLocation Loc, QualType T,
unsigned DiagID);
template <typename... Ts>
bool RequireCompleteType(SourceLocation Loc, QualType T, unsigned DiagID,
const Ts &...Args) {
BoundTypeDiagnoser<Ts...> Diagnoser(DiagID, Args...);
return RequireCompleteType(Loc, T, Diagnoser);
}
void completeExprArrayBound(Expr *E);
bool RequireCompleteExprType(Expr *E, TypeDiagnoser &Diagnoser);
bool RequireCompleteExprType(Expr *E, unsigned DiagID);
template <typename... Ts>
bool RequireCompleteExprType(Expr *E, unsigned DiagID, const Ts &...Args) {
BoundTypeDiagnoser<Ts...> Diagnoser(DiagID, Args...);
return RequireCompleteExprType(E, Diagnoser);
}
bool RequireLiteralType(SourceLocation Loc, QualType T,
TypeDiagnoser &Diagnoser);
bool RequireLiteralType(SourceLocation Loc, QualType T, unsigned DiagID);
template <typename... Ts>
bool RequireLiteralType(SourceLocation Loc, QualType T, unsigned DiagID,
const Ts &...Args) {
BoundTypeDiagnoser<Ts...> Diagnoser(DiagID, Args...);
return RequireLiteralType(Loc, T, Diagnoser);
}
QualType getElaboratedType(ElaboratedTypeKeyword Keyword,
const CXXScopeSpec &SS, QualType T);
QualType BuildTypeofExprType(Expr *E, SourceLocation Loc);
/// If AsUnevaluated is false, E is treated as though it were an evaluated
/// context, such as when building a type for decltype(auto).
QualType BuildDecltypeType(Expr *E, SourceLocation Loc,
bool AsUnevaluated = true);
QualType BuildUnaryTransformType(QualType BaseType,
UnaryTransformType::UTTKind UKind,
SourceLocation Loc);
//===--------------------------------------------------------------------===//
// Symbol table / Decl tracking callbacks: SemaDecl.cpp.
//
struct SkipBodyInfo {
SkipBodyInfo() : ShouldSkip(false), Previous(nullptr) {}
bool ShouldSkip;
NamedDecl *Previous;
};
DeclGroupPtrTy ConvertDeclToDeclGroup(Decl *Ptr, Decl *OwnedType = nullptr);
void DiagnoseUseOfUnimplementedSelectors();
bool isSimpleTypeSpecifier(tok::TokenKind Kind) const;
ParsedType getTypeName(const IdentifierInfo &II, SourceLocation NameLoc,
Scope *S, CXXScopeSpec *SS = nullptr,
bool isClassName = false, bool HasTrailingDot = false,
ParsedType ObjectType = nullptr,
bool IsCtorOrDtorName = false,
bool WantNontrivialTypeSourceInfo = false,
IdentifierInfo **CorrectedII = nullptr);
TypeSpecifierType isTagName(IdentifierInfo &II, Scope *S);
bool isMicrosoftMissingTypename(const CXXScopeSpec *SS, Scope *S);
void DiagnoseUnknownTypeName(IdentifierInfo *&II,
SourceLocation IILoc,
Scope *S,
CXXScopeSpec *SS,
ParsedType &SuggestedType,
bool AllowClassTemplates = false);
/// Attempt to behave like MSVC in situations where lookup of an unqualified
/// type name has failed in a dependent context. In these situations, we
/// automatically form a DependentTypeName that will retry lookup in a related
/// scope during instantiation.
ParsedType ActOnMSVCUnknownTypeName(const IdentifierInfo &II,
SourceLocation NameLoc,
bool IsTemplateTypeArg);
/// \brief Describes the result of the name lookup and resolution performed
/// by \c ClassifyName().
enum NameClassificationKind {
NC_Unknown,
NC_Error,
NC_Keyword,
NC_Type,
NC_Expression,
NC_NestedNameSpecifier,
NC_TypeTemplate,
NC_VarTemplate,
NC_FunctionTemplate
};
class NameClassification {
NameClassificationKind Kind;
ExprResult Expr;
TemplateName Template;
ParsedType Type;
const IdentifierInfo *Keyword;
explicit NameClassification(NameClassificationKind Kind) : Kind(Kind) {}
public:
NameClassification(ExprResult Expr) : Kind(NC_Expression), Expr(Expr) {}
NameClassification(ParsedType Type) : Kind(NC_Type), Type(Type) {}
NameClassification(const IdentifierInfo *Keyword)
: Kind(NC_Keyword), Keyword(Keyword) { }
static NameClassification Error() {
return NameClassification(NC_Error);
}
static NameClassification Unknown() {
return NameClassification(NC_Unknown);
}
static NameClassification NestedNameSpecifier() {
return NameClassification(NC_NestedNameSpecifier);
}
static NameClassification TypeTemplate(TemplateName Name) {
NameClassification Result(NC_TypeTemplate);
Result.Template = Name;
return Result;
}
static NameClassification VarTemplate(TemplateName Name) {
NameClassification Result(NC_VarTemplate);
Result.Template = Name;
return Result;
}
static NameClassification FunctionTemplate(TemplateName Name) {
NameClassification Result(NC_FunctionTemplate);
Result.Template = Name;
return Result;
}
NameClassificationKind getKind() const { return Kind; }
ParsedType getType() const {
assert(Kind == NC_Type);
return Type;
}
ExprResult getExpression() const {
assert(Kind == NC_Expression);
return Expr;
}
TemplateName getTemplateName() const {
assert(Kind == NC_TypeTemplate || Kind == NC_FunctionTemplate ||
Kind == NC_VarTemplate);
return Template;
}
TemplateNameKind getTemplateNameKind() const {
switch (Kind) {
case NC_TypeTemplate:
return TNK_Type_template;
case NC_FunctionTemplate:
return TNK_Function_template;
case NC_VarTemplate:
return TNK_Var_template;
default:
llvm_unreachable("unsupported name classification.");
}
}
};
/// \brief Perform name lookup on the given name, classifying it based on
/// the results of name lookup and the following token.
///
/// This routine is used by the parser to resolve identifiers and help direct
/// parsing. When the identifier cannot be found, this routine will attempt
/// to correct the typo and classify based on the resulting name.
///
/// \param S The scope in which we're performing name lookup.
///
/// \param SS The nested-name-specifier that precedes the name.
///
/// \param Name The identifier. If typo correction finds an alternative name,
/// this pointer parameter will be updated accordingly.
///
/// \param NameLoc The location of the identifier.
///
/// \param NextToken The token following the identifier. Used to help
/// disambiguate the name.
///
/// \param IsAddressOfOperand True if this name is the operand of a unary
/// address of ('&') expression, assuming it is classified as an
/// expression.
///
/// \param CCC The correction callback, if typo correction is desired.
NameClassification
ClassifyName(Scope *S, CXXScopeSpec &SS, IdentifierInfo *&Name,
SourceLocation NameLoc, const Token &NextToken,
bool IsAddressOfOperand,
std::unique_ptr<CorrectionCandidateCallback> CCC = nullptr);
Decl *ActOnDeclarator(Scope *S, Declarator &D);
NamedDecl *HandleDeclarator(Scope *S, Declarator &D,
MultiTemplateParamsArg TemplateParameterLists);
void RegisterLocallyScopedExternCDecl(NamedDecl *ND, Scope *S);
bool DiagnoseClassNameShadow(DeclContext *DC, DeclarationNameInfo Info);
bool diagnoseQualifiedDeclaration(CXXScopeSpec &SS, DeclContext *DC,
DeclarationName Name,
SourceLocation Loc);
void
diagnoseIgnoredQualifiers(unsigned DiagID, unsigned Quals,
SourceLocation FallbackLoc,
SourceLocation ConstQualLoc = SourceLocation(),
SourceLocation VolatileQualLoc = SourceLocation(),
SourceLocation RestrictQualLoc = SourceLocation(),
SourceLocation AtomicQualLoc = SourceLocation(),
SourceLocation UnalignedQualLoc = SourceLocation());
static bool adjustContextForLocalExternDecl(DeclContext *&DC);
void DiagnoseFunctionSpecifiers(const DeclSpec &DS);
NamedDecl *getShadowedDeclaration(const VarDecl *D, const LookupResult &R);
void CheckShadow(VarDecl *D, NamedDecl *ShadowedDecl, const LookupResult &R);
void CheckShadow(Scope *S, VarDecl *D);
/// Warn if 'E', which is an expression that is about to be modified, refers
/// to a shadowing declaration.
void CheckShadowingDeclModification(Expr *E, SourceLocation Loc);
void DiagnoseShadowingLambdaDecls(const sema::LambdaScopeInfo *LSI);
private:
/// Map of current shadowing declarations to shadowed declarations. Warn if
/// it looks like the user is trying to modify the shadowing declaration.
llvm::DenseMap<const NamedDecl *, const NamedDecl *> ShadowingDecls;
public:
void CheckCastAlign(Expr *Op, QualType T, SourceRange TRange);
void handleTagNumbering(const TagDecl *Tag, Scope *TagScope);
void setTagNameForLinkagePurposes(TagDecl *TagFromDeclSpec,
TypedefNameDecl *NewTD);
void CheckTypedefForVariablyModifiedType(Scope *S, TypedefNameDecl *D);
NamedDecl* ActOnTypedefDeclarator(Scope* S, Declarator& D, DeclContext* DC,
TypeSourceInfo *TInfo,
LookupResult &Previous);
NamedDecl* ActOnTypedefNameDecl(Scope* S, DeclContext* DC, TypedefNameDecl *D,
LookupResult &Previous, bool &Redeclaration);
NamedDecl *ActOnVariableDeclarator(Scope *S, Declarator &D, DeclContext *DC,
TypeSourceInfo *TInfo,
LookupResult &Previous,
MultiTemplateParamsArg TemplateParamLists,
bool &AddToScope,
ArrayRef<BindingDecl *> Bindings = None);
NamedDecl *
ActOnDecompositionDeclarator(Scope *S, Declarator &D,
MultiTemplateParamsArg TemplateParamLists);
// Returns true if the variable declaration is a redeclaration
bool CheckVariableDeclaration(VarDecl *NewVD, LookupResult &Previous);
void CheckVariableDeclarationType(VarDecl *NewVD);
void CheckCompleteVariableDeclaration(VarDecl *VD);
void CheckCompleteDecompositionDeclaration(DecompositionDecl *DD);
void MaybeSuggestAddingStaticToDecl(const FunctionDecl *D);
NamedDecl* ActOnFunctionDeclarator(Scope* S, Declarator& D, DeclContext* DC,
TypeSourceInfo *TInfo,
LookupResult &Previous,
MultiTemplateParamsArg TemplateParamLists,
bool &AddToScope);
bool AddOverriddenMethods(CXXRecordDecl *DC, CXXMethodDecl *MD);
bool CheckConstexprFunctionDecl(const FunctionDecl *FD);
bool CheckConstexprFunctionBody(const FunctionDecl *FD, Stmt *Body);
void DiagnoseHiddenVirtualMethods(CXXMethodDecl *MD);
void FindHiddenVirtualMethods(CXXMethodDecl *MD,
SmallVectorImpl<CXXMethodDecl*> &OverloadedMethods);
void NoteHiddenVirtualMethods(CXXMethodDecl *MD,
SmallVectorImpl<CXXMethodDecl*> &OverloadedMethods);
// Returns true if the function declaration is a redeclaration
bool CheckFunctionDeclaration(Scope *S,
FunctionDecl *NewFD, LookupResult &Previous,
bool IsExplicitSpecialization);
bool shouldLinkDependentDeclWithPrevious(Decl *D, Decl *OldDecl);
void CheckMain(FunctionDecl *FD, const DeclSpec &D);
void CheckMSVCRTEntryPoint(FunctionDecl *FD);
Decl *ActOnParamDeclarator(Scope *S, Declarator &D);
ParmVarDecl *BuildParmVarDeclForTypedef(DeclContext *DC,
SourceLocation Loc,
QualType T);
QualType adjustParameterTypeForObjCAutoRefCount(QualType T,
SourceLocation Loc);
ParmVarDecl *CheckParameter(DeclContext *DC, SourceLocation StartLoc,
SourceLocation NameLoc, IdentifierInfo *Name,
QualType T, TypeSourceInfo *TSInfo,
StorageClass SC);
void ActOnParamDefaultArgument(Decl *param,
SourceLocation EqualLoc,
Expr *defarg);
void ActOnParamUnparsedDefaultArgument(Decl *param,
SourceLocation EqualLoc,
SourceLocation ArgLoc);
void ActOnParamDefaultArgumentError(Decl *param, SourceLocation EqualLoc);
bool SetParamDefaultArgument(ParmVarDecl *Param, Expr *DefaultArg,
SourceLocation EqualLoc);
void AddInitializerToDecl(Decl *dcl, Expr *init, bool DirectInit);
void ActOnUninitializedDecl(Decl *dcl);
void ActOnInitializerError(Decl *Dcl);
bool canInitializeWithParenthesizedList(QualType TargetType);
void ActOnPureSpecifier(Decl *D, SourceLocation PureSpecLoc);
void ActOnCXXForRangeDecl(Decl *D);
StmtResult ActOnCXXForRangeIdentifier(Scope *S, SourceLocation IdentLoc,
IdentifierInfo *Ident,
ParsedAttributes &Attrs,
SourceLocation AttrEnd);
void SetDeclDeleted(Decl *dcl, SourceLocation DelLoc);
void SetDeclDefaulted(Decl *dcl, SourceLocation DefaultLoc);
void FinalizeDeclaration(Decl *D);
DeclGroupPtrTy FinalizeDeclaratorGroup(Scope *S, const DeclSpec &DS,
ArrayRef<Decl *> Group);
DeclGroupPtrTy BuildDeclaratorGroup(MutableArrayRef<Decl *> Group);
/// Should be called on all declarations that might have attached
/// documentation comments.
void ActOnDocumentableDecl(Decl *D);
void ActOnDocumentableDecls(ArrayRef<Decl *> Group);
void ActOnFinishKNRParamDeclarations(Scope *S, Declarator &D,
SourceLocation LocAfterDecls);
void CheckForFunctionRedefinition(
FunctionDecl *FD, const FunctionDecl *EffectiveDefinition = nullptr,
SkipBodyInfo *SkipBody = nullptr);
Decl *ActOnStartOfFunctionDef(Scope *S, Declarator &D,
MultiTemplateParamsArg TemplateParamLists,
SkipBodyInfo *SkipBody = nullptr);
Decl *ActOnStartOfFunctionDef(Scope *S, Decl *D,
SkipBodyInfo *SkipBody = nullptr);
void ActOnStartOfObjCMethodDef(Scope *S, Decl *D);
bool isObjCMethodDecl(Decl *D) {
return D && isa<ObjCMethodDecl>(D);
}
/// \brief Determine whether we can delay parsing the body of a function or
/// function template until it is used, assuming we don't care about emitting
/// code for that function.
///
/// This will be \c false if we may need the body of the function in the
/// middle of parsing an expression (where it's impractical to switch to
/// parsing a different function), for instance, if it's constexpr in C++11
/// or has an 'auto' return type in C++14. These cases are essentially bugs.
bool canDelayFunctionBody(const Declarator &D);
/// \brief Determine whether we can skip parsing the body of a function
/// definition, assuming we don't care about analyzing its body or emitting
/// code for that function.
///
/// This will be \c false only if we may need the body of the function in
/// order to parse the rest of the program (for instance, if it is
/// \c constexpr in C++11 or has an 'auto' return type in C++14).
bool canSkipFunctionBody(Decl *D);
void computeNRVO(Stmt *Body, sema::FunctionScopeInfo *Scope);
Decl *ActOnFinishFunctionBody(Decl *Decl, Stmt *Body);
Decl *ActOnFinishFunctionBody(Decl *Decl, Stmt *Body, bool IsInstantiation);
Decl *ActOnSkippedFunctionBody(Decl *Decl);
void ActOnFinishInlineFunctionDef(FunctionDecl *D);
/// ActOnFinishDelayedAttribute - Invoked when we have finished parsing an
/// attribute for which parsing is delayed.
void ActOnFinishDelayedAttribute(Scope *S, Decl *D, ParsedAttributes &Attrs);
/// \brief Diagnose any unused parameters in the given sequence of
/// ParmVarDecl pointers.
void DiagnoseUnusedParameters(ArrayRef<ParmVarDecl *> Parameters);
/// \brief Diagnose whether the size of parameters or return value of a
/// function or obj-c method definition is pass-by-value and larger than a
/// specified threshold.
void
DiagnoseSizeOfParametersAndReturnValue(ArrayRef<ParmVarDecl *> Parameters,
QualType ReturnTy, NamedDecl *D);
void DiagnoseInvalidJumps(Stmt *Body);
Decl *ActOnFileScopeAsmDecl(Expr *expr,
SourceLocation AsmLoc,
SourceLocation RParenLoc);
/// \brief Handle a C++11 empty-declaration and attribute-declaration.
Decl *ActOnEmptyDeclaration(Scope *S,
AttributeList *AttrList,
SourceLocation SemiLoc);
enum class ModuleDeclKind {
Module, ///< 'module X;'
Partition, ///< 'module partition X;'
Implementation, ///< 'module implementation X;'
};
/// The parser has processed a module-declaration that begins the definition
/// of a module interface or implementation.
DeclGroupPtrTy ActOnModuleDecl(SourceLocation ModuleLoc, ModuleDeclKind MDK,
ModuleIdPath Path);
/// \brief The parser has processed a module import declaration.
///
/// \param AtLoc The location of the '@' symbol, if any.
///
/// \param ImportLoc The location of the 'import' keyword.
///
/// \param Path The module access path.
DeclResult ActOnModuleImport(SourceLocation AtLoc, SourceLocation ImportLoc,
ModuleIdPath Path);
/// \brief The parser has processed a module import translated from a
/// #include or similar preprocessing directive.
void ActOnModuleInclude(SourceLocation DirectiveLoc, Module *Mod);
void BuildModuleInclude(SourceLocation DirectiveLoc, Module *Mod);
/// \brief The parsed has entered a submodule.
void ActOnModuleBegin(SourceLocation DirectiveLoc, Module *Mod);
/// \brief The parser has left a submodule.
void ActOnModuleEnd(SourceLocation DirectiveLoc, Module *Mod);
/// \brief Create an implicit import of the given module at the given
/// source location, for error recovery, if possible.
///
/// This routine is typically used when an entity found by name lookup
/// is actually hidden within a module that we know about but the user
/// has forgotten to import.
void createImplicitModuleImportForErrorRecovery(SourceLocation Loc,
Module *Mod);
/// Kinds of missing import. Note, the values of these enumerators correspond
/// to %select values in diagnostics.
enum class MissingImportKind {
Declaration,
Definition,
DefaultArgument,
ExplicitSpecialization,
PartialSpecialization
};
/// \brief Diagnose that the specified declaration needs to be visible but
/// isn't, and suggest a module import that would resolve the problem.
void diagnoseMissingImport(SourceLocation Loc, NamedDecl *Decl,
MissingImportKind MIK, bool Recover = true);
void diagnoseMissingImport(SourceLocation Loc, NamedDecl *Decl,
SourceLocation DeclLoc, ArrayRef<Module *> Modules,
MissingImportKind MIK, bool Recover);
Decl *ActOnStartExportDecl(Scope *S, SourceLocation ExportLoc,
SourceLocation LBraceLoc);
Decl *ActOnFinishExportDecl(Scope *S, Decl *ExportDecl,
SourceLocation RBraceLoc);
/// \brief We've found a use of a templated declaration that would trigger an
/// implicit instantiation. Check that any relevant explicit specializations
/// and partial specializations are visible, and diagnose if not.
void checkSpecializationVisibility(SourceLocation Loc, NamedDecl *Spec);
/// \brief We've found a use of a template specialization that would select a
/// partial specialization. Check that the partial specialization is visible,
/// and diagnose if not.
void checkPartialSpecializationVisibility(SourceLocation Loc,
NamedDecl *Spec);
/// \brief Retrieve a suitable printing policy.
PrintingPolicy getPrintingPolicy() const {
return getPrintingPolicy(Context, PP);
}
/// \brief Retrieve a suitable printing policy.
static PrintingPolicy getPrintingPolicy(const ASTContext &Ctx,
const Preprocessor &PP);
/// Scope actions.
void ActOnPopScope(SourceLocation Loc, Scope *S);
void ActOnTranslationUnitScope(Scope *S);
Decl *ParsedFreeStandingDeclSpec(Scope *S, AccessSpecifier AS, DeclSpec &DS,
RecordDecl *&AnonRecord);
Decl *ParsedFreeStandingDeclSpec(Scope *S, AccessSpecifier AS, DeclSpec &DS,
MultiTemplateParamsArg TemplateParams,
bool IsExplicitInstantiation,
RecordDecl *&AnonRecord);
Decl *BuildAnonymousStructOrUnion(Scope *S, DeclSpec &DS,
AccessSpecifier AS,
RecordDecl *Record,
const PrintingPolicy &Policy);
Decl *BuildMicrosoftCAnonymousStruct(Scope *S, DeclSpec &DS,
RecordDecl *Record);
/// Common ways to introduce type names without a tag for use in diagnostics.
/// Keep in sync with err_tag_reference_non_tag.
enum NonTagKind {
NTK_NonStruct,
NTK_NonClass,
NTK_NonUnion,
NTK_NonEnum,
NTK_Typedef,
NTK_TypeAlias,
NTK_Template,
NTK_TypeAliasTemplate,
NTK_TemplateTemplateArgument,
};
/// Given a non-tag type declaration, returns an enum useful for indicating
/// what kind of non-tag type this is.
NonTagKind getNonTagTypeDeclKind(const Decl *D, TagTypeKind TTK);
bool isAcceptableTagRedeclaration(const TagDecl *Previous,
TagTypeKind NewTag, bool isDefinition,
SourceLocation NewTagLoc,
const IdentifierInfo *Name);
enum TagUseKind {
TUK_Reference, // Reference to a tag: 'struct foo *X;'
TUK_Declaration, // Fwd decl of a tag: 'struct foo;'
TUK_Definition, // Definition of a tag: 'struct foo { int X; } Y;'
TUK_Friend // Friend declaration: 'friend struct foo;'
};
Decl *ActOnTag(Scope *S, unsigned TagSpec, TagUseKind TUK,
SourceLocation KWLoc, CXXScopeSpec &SS,
IdentifierInfo *Name, SourceLocation NameLoc,
AttributeList *Attr, AccessSpecifier AS,
SourceLocation ModulePrivateLoc,
MultiTemplateParamsArg TemplateParameterLists,
bool &OwnedDecl, bool &IsDependent,
SourceLocation ScopedEnumKWLoc,
bool ScopedEnumUsesClassTag, TypeResult UnderlyingType,
bool IsTypeSpecifier, SkipBodyInfo *SkipBody = nullptr);
Decl *ActOnTemplatedFriendTag(Scope *S, SourceLocation FriendLoc,
unsigned TagSpec, SourceLocation TagLoc,
CXXScopeSpec &SS,
IdentifierInfo *Name, SourceLocation NameLoc,
AttributeList *Attr,
MultiTemplateParamsArg TempParamLists);
TypeResult ActOnDependentTag(Scope *S,
unsigned TagSpec,
TagUseKind TUK,
const CXXScopeSpec &SS,
IdentifierInfo *Name,
SourceLocation TagLoc,
SourceLocation NameLoc);
void ActOnDefs(Scope *S, Decl *TagD, SourceLocation DeclStart,
IdentifierInfo *ClassName,
SmallVectorImpl<Decl *> &Decls);
Decl *ActOnField(Scope *S, Decl *TagD, SourceLocation DeclStart,
Declarator &D, Expr *BitfieldWidth);
FieldDecl *HandleField(Scope *S, RecordDecl *TagD, SourceLocation DeclStart,
Declarator &D, Expr *BitfieldWidth,
InClassInitStyle InitStyle,
AccessSpecifier AS);
MSPropertyDecl *HandleMSProperty(Scope *S, RecordDecl *TagD,
SourceLocation DeclStart,
Declarator &D, Expr *BitfieldWidth,
InClassInitStyle InitStyle,
AccessSpecifier AS,
AttributeList *MSPropertyAttr);
FieldDecl *CheckFieldDecl(DeclarationName Name, QualType T,
TypeSourceInfo *TInfo,
RecordDecl *Record, SourceLocation Loc,
bool Mutable, Expr *BitfieldWidth,
InClassInitStyle InitStyle,
SourceLocation TSSL,
AccessSpecifier AS, NamedDecl *PrevDecl,
Declarator *D = nullptr);
bool CheckNontrivialField(FieldDecl *FD);
void DiagnoseNontrivial(const CXXRecordDecl *Record, CXXSpecialMember CSM);
bool SpecialMemberIsTrivial(CXXMethodDecl *MD, CXXSpecialMember CSM,
bool Diagnose = false);
CXXSpecialMember getSpecialMember(const CXXMethodDecl *MD);
void ActOnLastBitfield(SourceLocation DeclStart,
SmallVectorImpl<Decl *> &AllIvarDecls);
Decl *ActOnIvar(Scope *S, SourceLocation DeclStart,
Declarator &D, Expr *BitfieldWidth,
tok::ObjCKeywordKind visibility);
// This is used for both record definitions and ObjC interface declarations.
void ActOnFields(Scope* S, SourceLocation RecLoc, Decl *TagDecl,
ArrayRef<Decl *> Fields,
SourceLocation LBrac, SourceLocation RBrac,
AttributeList *AttrList);
/// ActOnTagStartDefinition - Invoked when we have entered the
/// scope of a tag's definition (e.g., for an enumeration, class,
/// struct, or union).
void ActOnTagStartDefinition(Scope *S, Decl *TagDecl);
typedef void *SkippedDefinitionContext;
/// \brief Invoked when we enter a tag definition that we're skipping.
SkippedDefinitionContext ActOnTagStartSkippedDefinition(Scope *S, Decl *TD);
Decl *ActOnObjCContainerStartDefinition(Decl *IDecl);
/// ActOnStartCXXMemberDeclarations - Invoked when we have parsed a
/// C++ record definition's base-specifiers clause and are starting its
/// member declarations.
void ActOnStartCXXMemberDeclarations(Scope *S, Decl *TagDecl,
SourceLocation FinalLoc,
bool IsFinalSpelledSealed,
SourceLocation LBraceLoc);
/// ActOnTagFinishDefinition - Invoked once we have finished parsing
/// the definition of a tag (enumeration, class, struct, or union).
void ActOnTagFinishDefinition(Scope *S, Decl *TagDecl,
SourceRange BraceRange);
void ActOnTagFinishSkippedDefinition(SkippedDefinitionContext Context);
void ActOnObjCContainerFinishDefinition();
/// \brief Invoked when we must temporarily exit the objective-c container
/// scope for parsing/looking-up C constructs.
///
/// Must be followed by a call to \see ActOnObjCReenterContainerContext
void ActOnObjCTemporaryExitContainerContext(DeclContext *DC);
void ActOnObjCReenterContainerContext(DeclContext *DC);
/// ActOnTagDefinitionError - Invoked when there was an unrecoverable
/// error parsing the definition of a tag.
void ActOnTagDefinitionError(Scope *S, Decl *TagDecl);
EnumConstantDecl *CheckEnumConstant(EnumDecl *Enum,
EnumConstantDecl *LastEnumConst,
SourceLocation IdLoc,
IdentifierInfo *Id,
Expr *val);
bool CheckEnumUnderlyingType(TypeSourceInfo *TI);
bool CheckEnumRedeclaration(SourceLocation EnumLoc, bool IsScoped,
QualType EnumUnderlyingTy,
bool EnumUnderlyingIsImplicit,
const EnumDecl *Prev);
/// Determine whether the body of an anonymous enumeration should be skipped.
/// \param II The name of the first enumerator.
SkipBodyInfo shouldSkipAnonEnumBody(Scope *S, IdentifierInfo *II,
SourceLocation IILoc);
Decl *ActOnEnumConstant(Scope *S, Decl *EnumDecl, Decl *LastEnumConstant,
SourceLocation IdLoc, IdentifierInfo *Id,
AttributeList *Attrs,
SourceLocation EqualLoc, Expr *Val);
void ActOnEnumBody(SourceLocation EnumLoc, SourceRange BraceRange,
Decl *EnumDecl,
ArrayRef<Decl *> Elements,
Scope *S, AttributeList *Attr);
DeclContext *getContainingDC(DeclContext *DC);
/// Set the current declaration context until it gets popped.
void PushDeclContext(Scope *S, DeclContext *DC);
void PopDeclContext();
/// EnterDeclaratorContext - Used when we must lookup names in the context
/// of a declarator's nested name specifier.
void EnterDeclaratorContext(Scope *S, DeclContext *DC);
void ExitDeclaratorContext(Scope *S);
/// Push the parameters of D, which must be a function, into scope.
void ActOnReenterFunctionContext(Scope* S, Decl* D);
void ActOnExitFunctionContext();
DeclContext *getFunctionLevelDeclContext();
/// getCurFunctionDecl - If inside of a function body, this returns a pointer
/// to the function decl for the function being parsed. If we're currently
/// in a 'block', this returns the containing context.
FunctionDecl *getCurFunctionDecl();
/// getCurMethodDecl - If inside of a method body, this returns a pointer to
/// the method decl for the method being parsed. If we're currently
/// in a 'block', this returns the containing context.
ObjCMethodDecl *getCurMethodDecl();
/// getCurFunctionOrMethodDecl - Return the Decl for the current ObjC method
/// or C function we're in, otherwise return null. If we're currently
/// in a 'block', this returns the containing context.
NamedDecl *getCurFunctionOrMethodDecl();
/// Add this decl to the scope shadowed decl chains.
void PushOnScopeChains(NamedDecl *D, Scope *S, bool AddToContext = true);
/// \brief Make the given externally-produced declaration visible at the
/// top level scope.
///
/// \param D The externally-produced declaration to push.
///
/// \param Name The name of the externally-produced declaration.
void pushExternalDeclIntoScope(NamedDecl *D, DeclarationName Name);
/// isDeclInScope - If 'Ctx' is a function/method, isDeclInScope returns true
/// if 'D' is in Scope 'S', otherwise 'S' is ignored and isDeclInScope returns
/// true if 'D' belongs to the given declaration context.
///
/// \param AllowInlineNamespace If \c true, allow the declaration to be in the
/// enclosing namespace set of the context, rather than contained
/// directly within it.
bool isDeclInScope(NamedDecl *D, DeclContext *Ctx, Scope *S = nullptr,
bool AllowInlineNamespace = false);
/// Finds the scope corresponding to the given decl context, if it
/// happens to be an enclosing scope. Otherwise return NULL.
static Scope *getScopeForDeclContext(Scope *S, DeclContext *DC);
/// Subroutines of ActOnDeclarator().
TypedefDecl *ParseTypedefDecl(Scope *S, Declarator &D, QualType T,
TypeSourceInfo *TInfo);
bool isIncompatibleTypedef(TypeDecl *Old, TypedefNameDecl *New);
/// \brief Describes the kind of merge to perform for availability
/// attributes (including "deprecated", "unavailable", and "availability").
enum AvailabilityMergeKind {
/// \brief Don't merge availability attributes at all.
AMK_None,
/// \brief Merge availability attributes for a redeclaration, which requires
/// an exact match.
AMK_Redeclaration,
/// \brief Merge availability attributes for an override, which requires
/// an exact match or a weakening of constraints.
AMK_Override,
/// \brief Merge availability attributes for an implementation of
/// a protocol requirement.
AMK_ProtocolImplementation,
};
/// Attribute merging methods. Return true if a new attribute was added.
AvailabilityAttr *mergeAvailabilityAttr(NamedDecl *D, SourceRange Range,
IdentifierInfo *Platform,
bool Implicit,
VersionTuple Introduced,
VersionTuple Deprecated,
VersionTuple Obsoleted,
bool IsUnavailable,
StringRef Message,
bool IsStrict, StringRef Replacement,
AvailabilityMergeKind AMK,
unsigned AttrSpellingListIndex);
TypeVisibilityAttr *mergeTypeVisibilityAttr(Decl *D, SourceRange Range,
TypeVisibilityAttr::VisibilityType Vis,
unsigned AttrSpellingListIndex);
VisibilityAttr *mergeVisibilityAttr(Decl *D, SourceRange Range,
VisibilityAttr::VisibilityType Vis,
unsigned AttrSpellingListIndex);
UuidAttr *mergeUuidAttr(Decl *D, SourceRange Range,
unsigned AttrSpellingListIndex, StringRef Uuid);
DLLImportAttr *mergeDLLImportAttr(Decl *D, SourceRange Range,
unsigned AttrSpellingListIndex);
DLLExportAttr *mergeDLLExportAttr(Decl *D, SourceRange Range,
unsigned AttrSpellingListIndex);
MSInheritanceAttr *
mergeMSInheritanceAttr(Decl *D, SourceRange Range, bool BestCase,
unsigned AttrSpellingListIndex,
MSInheritanceAttr::Spelling SemanticSpelling);
FormatAttr *mergeFormatAttr(Decl *D, SourceRange Range,
IdentifierInfo *Format, int FormatIdx,
int FirstArg, unsigned AttrSpellingListIndex);
SectionAttr *mergeSectionAttr(Decl *D, SourceRange Range, StringRef Name,
unsigned AttrSpellingListIndex);
AlwaysInlineAttr *mergeAlwaysInlineAttr(Decl *D, SourceRange Range,
IdentifierInfo *Ident,
unsigned AttrSpellingListIndex);
MinSizeAttr *mergeMinSizeAttr(Decl *D, SourceRange Range,
unsigned AttrSpellingListIndex);
OptimizeNoneAttr *mergeOptimizeNoneAttr(Decl *D, SourceRange Range,
unsigned AttrSpellingListIndex);
SwiftNameAttr *mergeSwiftNameAttr(Decl *D, SourceRange Range,
StringRef Name, bool Override,
unsigned AttrSpellingListIndex);
InternalLinkageAttr *mergeInternalLinkageAttr(Decl *D, SourceRange Range,
IdentifierInfo *Ident,
unsigned AttrSpellingListIndex);
CommonAttr *mergeCommonAttr(Decl *D, SourceRange Range, IdentifierInfo *Ident,
unsigned AttrSpellingListIndex);
void mergeDeclAttributes(NamedDecl *New, Decl *Old,
AvailabilityMergeKind AMK = AMK_Redeclaration);
void MergeTypedefNameDecl(Scope *S, TypedefNameDecl *New,
LookupResult &OldDecls);
bool MergeFunctionDecl(FunctionDecl *New, NamedDecl *&Old, Scope *S,
bool MergeTypeWithOld);
bool MergeCompatibleFunctionDecls(FunctionDecl *New, FunctionDecl *Old,
Scope *S, bool MergeTypeWithOld);
void mergeObjCMethodDecls(ObjCMethodDecl *New, ObjCMethodDecl *Old);
void MergeVarDecl(VarDecl *New, LookupResult &Previous);
void MergeVarDeclTypes(VarDecl *New, VarDecl *Old, bool MergeTypeWithOld);
void MergeVarDeclExceptionSpecs(VarDecl *New, VarDecl *Old);
bool checkVarDeclRedefinition(VarDecl *OldDefn, VarDecl *NewDefn);
void notePreviousDefinition(SourceLocation Old, SourceLocation New);
bool MergeCXXFunctionDecl(FunctionDecl *New, FunctionDecl *Old, Scope *S);
// AssignmentAction - This is used by all the assignment diagnostic functions
// to represent what is actually causing the operation
enum AssignmentAction {
AA_Assigning,
AA_Passing,
AA_Returning,
AA_Converting,
AA_Initializing,
AA_Sending,
AA_Casting,
AA_Passing_CFAudited
};
/// C++ Overloading.
enum OverloadKind {
/// This is a legitimate overload: the existing declarations are
/// functions or function templates with different signatures.
Ovl_Overload,
/// This is not an overload because the signature exactly matches
/// an existing declaration.
Ovl_Match,
/// This is not an overload because the lookup results contain a
/// non-function.
Ovl_NonFunction
};
OverloadKind CheckOverload(Scope *S,
FunctionDecl *New,
const LookupResult &OldDecls,
NamedDecl *&OldDecl,
bool IsForUsingDecl);
bool IsOverload(FunctionDecl *New, FunctionDecl *Old, bool IsForUsingDecl,
bool ConsiderCudaAttrs = true);
/// \brief Checks availability of the function depending on the current
/// function context.Inside an unavailable function,unavailability is ignored.
///
/// \returns true if \p FD is unavailable and current context is inside
/// an available function, false otherwise.
bool isFunctionConsideredUnavailable(FunctionDecl *FD);
ImplicitConversionSequence
TryImplicitConversion(Expr *From, QualType ToType,
bool SuppressUserConversions,
bool AllowExplicit,
bool InOverloadResolution,
bool CStyle,
bool AllowObjCWritebackConversion);
bool IsIntegralPromotion(Expr *From, QualType FromType, QualType ToType);
bool IsFloatingPointPromotion(QualType FromType, QualType ToType);
bool IsComplexPromotion(QualType FromType, QualType ToType);
bool IsPointerConversion(Expr *From, QualType FromType, QualType ToType,
bool InOverloadResolution,
QualType& ConvertedType, bool &IncompatibleObjC);
bool isObjCPointerConversion(QualType FromType, QualType ToType,
QualType& ConvertedType, bool &IncompatibleObjC);
bool isObjCWritebackConversion(QualType FromType, QualType ToType,
QualType &ConvertedType);
bool IsBlockPointerConversion(QualType FromType, QualType ToType,
QualType& ConvertedType);
bool FunctionParamTypesAreEqual(const FunctionProtoType *OldType,
const FunctionProtoType *NewType,
unsigned *ArgPos = nullptr);
void HandleFunctionTypeMismatch(PartialDiagnostic &PDiag,
QualType FromType, QualType ToType);
void maybeExtendBlockObject(ExprResult &E);
CastKind PrepareCastToObjCObjectPointer(ExprResult &E);
bool CheckPointerConversion(Expr *From, QualType ToType,
CastKind &Kind,
CXXCastPath& BasePath,
bool IgnoreBaseAccess,
bool Diagnose = true);
bool IsMemberPointerConversion(Expr *From, QualType FromType, QualType ToType,
bool InOverloadResolution,
QualType &ConvertedType);
bool CheckMemberPointerConversion(Expr *From, QualType ToType,
CastKind &Kind,
CXXCastPath &BasePath,
bool IgnoreBaseAccess);
bool IsQualificationConversion(QualType FromType, QualType ToType,
bool CStyle, bool &ObjCLifetimeConversion);
bool IsFunctionConversion(QualType FromType, QualType ToType,
QualType &ResultTy);
bool DiagnoseMultipleUserDefinedConversion(Expr *From, QualType ToType);
bool isSameOrCompatibleFunctionType(CanQualType Param, CanQualType Arg);
ExprResult PerformMoveOrCopyInitialization(const InitializedEntity &Entity,
const VarDecl *NRVOCandidate,
QualType ResultType,
Expr *Value,
bool AllowNRVO = true);
bool CanPerformCopyInitialization(const InitializedEntity &Entity,
ExprResult Init);
ExprResult PerformCopyInitialization(const InitializedEntity &Entity,
SourceLocation EqualLoc,
ExprResult Init,
bool TopLevelOfInitList = false,
bool AllowExplicit = false);
ExprResult PerformObjectArgumentInitialization(Expr *From,
NestedNameSpecifier *Qualifier,
NamedDecl *FoundDecl,
CXXMethodDecl *Method);
ExprResult PerformContextuallyConvertToBool(Expr *From);
ExprResult PerformContextuallyConvertToObjCPointer(Expr *From);
/// Contexts in which a converted constant expression is required.
enum CCEKind {
CCEK_CaseValue, ///< Expression in a case label.
CCEK_Enumerator, ///< Enumerator value with fixed underlying type.
CCEK_TemplateArg, ///< Value of a non-type template parameter.
CCEK_NewExpr, ///< Constant expression in a noptr-new-declarator.
CCEK_ConstexprIf ///< Condition in a constexpr if statement.
};
ExprResult CheckConvertedConstantExpression(Expr *From, QualType T,
llvm::APSInt &Value, CCEKind CCE);
ExprResult CheckConvertedConstantExpression(Expr *From, QualType T,
APValue &Value, CCEKind CCE);
/// \brief Abstract base class used to perform a contextual implicit
/// conversion from an expression to any type passing a filter.
class ContextualImplicitConverter {
public:
bool Suppress;
bool SuppressConversion;
ContextualImplicitConverter(bool Suppress = false,
bool SuppressConversion = false)
: Suppress(Suppress), SuppressConversion(SuppressConversion) {}
/// \brief Determine whether the specified type is a valid destination type
/// for this conversion.
virtual bool match(QualType T) = 0;
/// \brief Emits a diagnostic complaining that the expression does not have
/// integral or enumeration type.
virtual SemaDiagnosticBuilder
diagnoseNoMatch(Sema &S, SourceLocation Loc, QualType T) = 0;
/// \brief Emits a diagnostic when the expression has incomplete class type.
virtual SemaDiagnosticBuilder
diagnoseIncomplete(Sema &S, SourceLocation Loc, QualType T) = 0;
/// \brief Emits a diagnostic when the only matching conversion function
/// is explicit.
virtual SemaDiagnosticBuilder diagnoseExplicitConv(
Sema &S, SourceLocation Loc, QualType T, QualType ConvTy) = 0;
/// \brief Emits a note for the explicit conversion function.
virtual SemaDiagnosticBuilder
noteExplicitConv(Sema &S, CXXConversionDecl *Conv, QualType ConvTy) = 0;
/// \brief Emits a diagnostic when there are multiple possible conversion
/// functions.
virtual SemaDiagnosticBuilder
diagnoseAmbiguous(Sema &S, SourceLocation Loc, QualType T) = 0;
/// \brief Emits a note for one of the candidate conversions.
virtual SemaDiagnosticBuilder
noteAmbiguous(Sema &S, CXXConversionDecl *Conv, QualType ConvTy) = 0;
/// \brief Emits a diagnostic when we picked a conversion function
/// (for cases when we are not allowed to pick a conversion function).
virtual SemaDiagnosticBuilder diagnoseConversion(
Sema &S, SourceLocation Loc, QualType T, QualType ConvTy) = 0;
virtual ~ContextualImplicitConverter() {}
};
class ICEConvertDiagnoser : public ContextualImplicitConverter {
bool AllowScopedEnumerations;
public:
ICEConvertDiagnoser(bool AllowScopedEnumerations,
bool Suppress, bool SuppressConversion)
: ContextualImplicitConverter(Suppress, SuppressConversion),
AllowScopedEnumerations(AllowScopedEnumerations) {}
/// Match an integral or (possibly scoped) enumeration type.
bool match(QualType T) override;
SemaDiagnosticBuilder
diagnoseNoMatch(Sema &S, SourceLocation Loc, QualType T) override {
return diagnoseNotInt(S, Loc, T);
}
/// \brief Emits a diagnostic complaining that the expression does not have
/// integral or enumeration type.
virtual SemaDiagnosticBuilder
diagnoseNotInt(Sema &S, SourceLocation Loc, QualType T) = 0;
};
/// Perform a contextual implicit conversion.
ExprResult PerformContextualImplicitConversion(
SourceLocation Loc, Expr *FromE, ContextualImplicitConverter &Converter);
enum ObjCSubscriptKind {
OS_Array,
OS_Dictionary,
OS_Error
};
ObjCSubscriptKind CheckSubscriptingKind(Expr *FromE);
// Note that LK_String is intentionally after the other literals, as
// this is used for diagnostics logic.
enum ObjCLiteralKind {
LK_Array,
LK_Dictionary,
LK_Numeric,
LK_Boxed,
LK_String,
LK_Block,
LK_None
};
ObjCLiteralKind CheckLiteralKind(Expr *FromE);
ExprResult PerformObjectMemberConversion(Expr *From,
NestedNameSpecifier *Qualifier,
NamedDecl *FoundDecl,
NamedDecl *Member);
// Members have to be NamespaceDecl* or TranslationUnitDecl*.
// TODO: make this is a typesafe union.
typedef llvm::SmallSetVector<DeclContext *, 16> AssociatedNamespaceSet;
typedef llvm::SmallSetVector<CXXRecordDecl *, 16> AssociatedClassSet;
void AddOverloadCandidate(FunctionDecl *Function,
DeclAccessPair FoundDecl,
ArrayRef<Expr *> Args,
OverloadCandidateSet &CandidateSet,
bool SuppressUserConversions = false,
bool PartialOverloading = false,
bool AllowExplicit = false,
ConversionSequenceList EarlyConversions = None);
void AddFunctionCandidates(const UnresolvedSetImpl &Functions,
ArrayRef<Expr *> Args,
OverloadCandidateSet &CandidateSet,
TemplateArgumentListInfo *ExplicitTemplateArgs = nullptr,
bool SuppressUserConversions = false,
bool PartialOverloading = false);
void AddMethodCandidate(DeclAccessPair FoundDecl,
QualType ObjectType,
Expr::Classification ObjectClassification,
ArrayRef<Expr *> Args,
OverloadCandidateSet& CandidateSet,
bool SuppressUserConversion = false);
void AddMethodCandidate(CXXMethodDecl *Method,
DeclAccessPair FoundDecl,
CXXRecordDecl *ActingContext, QualType ObjectType,
Expr::Classification ObjectClassification,
ArrayRef<Expr *> Args,
OverloadCandidateSet& CandidateSet,
bool SuppressUserConversions = false,
bool PartialOverloading = false,
ConversionSequenceList EarlyConversions = None);
void AddMethodTemplateCandidate(FunctionTemplateDecl *MethodTmpl,
DeclAccessPair FoundDecl,
CXXRecordDecl *ActingContext,
TemplateArgumentListInfo *ExplicitTemplateArgs,
QualType ObjectType,
Expr::Classification ObjectClassification,
ArrayRef<Expr *> Args,
OverloadCandidateSet& CandidateSet,
bool SuppressUserConversions = false,
bool PartialOverloading = false);
void AddTemplateOverloadCandidate(FunctionTemplateDecl *FunctionTemplate,
DeclAccessPair FoundDecl,
TemplateArgumentListInfo *ExplicitTemplateArgs,
ArrayRef<Expr *> Args,
OverloadCandidateSet& CandidateSet,
bool SuppressUserConversions = false,
bool PartialOverloading = false);
bool CheckNonDependentConversions(FunctionTemplateDecl *FunctionTemplate,
ArrayRef<QualType> ParamTypes,
ArrayRef<Expr *> Args,
OverloadCandidateSet &CandidateSet,
ConversionSequenceList &Conversions,
bool SuppressUserConversions,
CXXRecordDecl *ActingContext = nullptr,
QualType ObjectType = QualType(),
Expr::Classification
ObjectClassification = {});
void AddConversionCandidate(CXXConversionDecl *Conversion,
DeclAccessPair FoundDecl,
CXXRecordDecl *ActingContext,
Expr *From, QualType ToType,
OverloadCandidateSet& CandidateSet,
bool AllowObjCConversionOnExplicit);
void AddTemplateConversionCandidate(FunctionTemplateDecl *FunctionTemplate,
DeclAccessPair FoundDecl,
CXXRecordDecl *ActingContext,
Expr *From, QualType ToType,
OverloadCandidateSet &CandidateSet,
bool AllowObjCConversionOnExplicit);
void AddSurrogateCandidate(CXXConversionDecl *Conversion,
DeclAccessPair FoundDecl,
CXXRecordDecl *ActingContext,
const FunctionProtoType *Proto,
Expr *Object, ArrayRef<Expr *> Args,
OverloadCandidateSet& CandidateSet);
void AddMemberOperatorCandidates(OverloadedOperatorKind Op,
SourceLocation OpLoc, ArrayRef<Expr *> Args,
OverloadCandidateSet& CandidateSet,
SourceRange OpRange = SourceRange());
void AddBuiltinCandidate(QualType ResultTy, QualType *ParamTys,
ArrayRef<Expr *> Args,
OverloadCandidateSet& CandidateSet,
bool IsAssignmentOperator = false,
unsigned NumContextualBoolArguments = 0);
void AddBuiltinOperatorCandidates(OverloadedOperatorKind Op,
SourceLocation OpLoc, ArrayRef<Expr *> Args,
OverloadCandidateSet& CandidateSet);
void AddArgumentDependentLookupCandidates(DeclarationName Name,
SourceLocation Loc,
ArrayRef<Expr *> Args,
TemplateArgumentListInfo *ExplicitTemplateArgs,
OverloadCandidateSet& CandidateSet,
bool PartialOverloading = false);
// Emit as a 'note' the specific overload candidate
void NoteOverloadCandidate(NamedDecl *Found, FunctionDecl *Fn,
QualType DestType = QualType(),
bool TakingAddress = false);
// Emit as a series of 'note's all template and non-templates identified by
// the expression Expr
void NoteAllOverloadCandidates(Expr *E, QualType DestType = QualType(),
bool TakingAddress = false);
/// Check the enable_if expressions on the given function. Returns the first
/// failing attribute, or NULL if they were all successful.
EnableIfAttr *CheckEnableIf(FunctionDecl *Function, ArrayRef<Expr *> Args,
bool MissingImplicitThis = false);
/// Emit diagnostics for the diagnose_if attributes on Function, ignoring any
/// non-ArgDependent DiagnoseIfAttrs.
///
/// Argument-dependent diagnose_if attributes should be checked each time a
/// function is used as a direct callee of a function call.
///
/// Returns true if any errors were emitted.
bool diagnoseArgDependentDiagnoseIfAttrs(const FunctionDecl *Function,
const Expr *ThisArg,
ArrayRef<const Expr *> Args,
SourceLocation Loc);
/// Emit diagnostics for the diagnose_if attributes on Function, ignoring any
/// ArgDependent DiagnoseIfAttrs.
///
/// Argument-independent diagnose_if attributes should be checked on every use
/// of a function.
///
/// Returns true if any errors were emitted.
bool diagnoseArgIndependentDiagnoseIfAttrs(const NamedDecl *ND,
SourceLocation Loc);
/// Returns whether the given function's address can be taken or not,
/// optionally emitting a diagnostic if the address can't be taken.
///
/// Returns false if taking the address of the function is illegal.
bool checkAddressOfFunctionIsAvailable(const FunctionDecl *Function,
bool Complain = false,
SourceLocation Loc = SourceLocation());
// [PossiblyAFunctionType] --> [Return]
// NonFunctionType --> NonFunctionType
// R (A) --> R(A)
// R (*)(A) --> R (A)
// R (&)(A) --> R (A)
// R (S::*)(A) --> R (A)
QualType ExtractUnqualifiedFunctionType(QualType PossiblyAFunctionType);
FunctionDecl *
ResolveAddressOfOverloadedFunction(Expr *AddressOfExpr,
QualType TargetType,
bool Complain,
DeclAccessPair &Found,
bool *pHadMultipleCandidates = nullptr);
FunctionDecl *
resolveAddressOfOnlyViableOverloadCandidate(Expr *E,
DeclAccessPair &FoundResult);
bool resolveAndFixAddressOfOnlyViableOverloadCandidate(ExprResult &SrcExpr);
FunctionDecl *
ResolveSingleFunctionTemplateSpecialization(OverloadExpr *ovl,
bool Complain = false,
DeclAccessPair *Found = nullptr);
bool ResolveAndFixSingleFunctionTemplateSpecialization(
ExprResult &SrcExpr,
bool DoFunctionPointerConverion = false,
bool Complain = false,
SourceRange OpRangeForComplaining = SourceRange(),
QualType DestTypeForComplaining = QualType(),
unsigned DiagIDForComplaining = 0);
Expr *FixOverloadedFunctionReference(Expr *E,
DeclAccessPair FoundDecl,
FunctionDecl *Fn);
ExprResult FixOverloadedFunctionReference(ExprResult,
DeclAccessPair FoundDecl,
FunctionDecl *Fn);
void AddOverloadedCallCandidates(UnresolvedLookupExpr *ULE,
ArrayRef<Expr *> Args,
OverloadCandidateSet &CandidateSet,
bool PartialOverloading = false);
// An enum used to represent the different possible results of building a
// range-based for loop.
enum ForRangeStatus {
FRS_Success,
FRS_NoViableFunction,
FRS_DiagnosticIssued
};
ForRangeStatus BuildForRangeBeginEndCall(SourceLocation Loc,
SourceLocation RangeLoc,
const DeclarationNameInfo &NameInfo,
LookupResult &MemberLookup,
OverloadCandidateSet *CandidateSet,
Expr *Range, ExprResult *CallExpr);
ExprResult BuildOverloadedCallExpr(Scope *S, Expr *Fn,
UnresolvedLookupExpr *ULE,
SourceLocation LParenLoc,
MultiExprArg Args,
SourceLocation RParenLoc,
Expr *ExecConfig,
bool AllowTypoCorrection=true,
bool CalleesAddressIsTaken=false);
bool buildOverloadedCallSet(Scope *S, Expr *Fn, UnresolvedLookupExpr *ULE,
MultiExprArg Args, SourceLocation RParenLoc,
OverloadCandidateSet *CandidateSet,
ExprResult *Result);
ExprResult CreateOverloadedUnaryOp(SourceLocation OpLoc,
UnaryOperatorKind Opc,
const UnresolvedSetImpl &Fns,
Expr *input);
ExprResult CreateOverloadedBinOp(SourceLocation OpLoc,
BinaryOperatorKind Opc,
const UnresolvedSetImpl &Fns,
Expr *LHS, Expr *RHS);
ExprResult CreateOverloadedArraySubscriptExpr(SourceLocation LLoc,
SourceLocation RLoc,
Expr *Base,Expr *Idx);
ExprResult
BuildCallToMemberFunction(Scope *S, Expr *MemExpr,
SourceLocation LParenLoc,
MultiExprArg Args,
SourceLocation RParenLoc);
ExprResult
BuildCallToObjectOfClassType(Scope *S, Expr *Object, SourceLocation LParenLoc,
MultiExprArg Args,
SourceLocation RParenLoc);
ExprResult BuildOverloadedArrowExpr(Scope *S, Expr *Base,
SourceLocation OpLoc,
bool *NoArrowOperatorFound = nullptr);
/// CheckCallReturnType - Checks that a call expression's return type is
/// complete. Returns true on failure. The location passed in is the location
/// that best represents the call.
bool CheckCallReturnType(QualType ReturnType, SourceLocation Loc,
CallExpr *CE, FunctionDecl *FD);
/// Helpers for dealing with blocks and functions.
bool CheckParmsForFunctionDef(ArrayRef<ParmVarDecl *> Parameters,
bool CheckParameterNames);
void CheckCXXDefaultArguments(FunctionDecl *FD);
void CheckExtraCXXDefaultArguments(Declarator &D);
Scope *getNonFieldDeclScope(Scope *S);
/// \name Name lookup
///
/// These routines provide name lookup that is used during semantic
/// analysis to resolve the various kinds of names (identifiers,
/// overloaded operator names, constructor names, etc.) into zero or
/// more declarations within a particular scope. The major entry
/// points are LookupName, which performs unqualified name lookup,
/// and LookupQualifiedName, which performs qualified name lookup.
///
/// All name lookup is performed based on some specific criteria,
/// which specify what names will be visible to name lookup and how
/// far name lookup should work. These criteria are important both
/// for capturing language semantics (certain lookups will ignore
/// certain names, for example) and for performance, since name
/// lookup is often a bottleneck in the compilation of C++. Name
/// lookup criteria is specified via the LookupCriteria enumeration.
///
/// The results of name lookup can vary based on the kind of name
/// lookup performed, the current language, and the translation
/// unit. In C, for example, name lookup will either return nothing
/// (no entity found) or a single declaration. In C++, name lookup
/// can additionally refer to a set of overloaded functions or
/// result in an ambiguity. All of the possible results of name
/// lookup are captured by the LookupResult class, which provides
/// the ability to distinguish among them.
//@{
/// @brief Describes the kind of name lookup to perform.
enum LookupNameKind {
/// Ordinary name lookup, which finds ordinary names (functions,
/// variables, typedefs, etc.) in C and most kinds of names
/// (functions, variables, members, types, etc.) in C++.
LookupOrdinaryName = 0,
/// Tag name lookup, which finds the names of enums, classes,
/// structs, and unions.
LookupTagName,
/// Label name lookup.
LookupLabel,
/// Member name lookup, which finds the names of
/// class/struct/union members.
LookupMemberName,
/// Look up of an operator name (e.g., operator+) for use with
/// operator overloading. This lookup is similar to ordinary name
/// lookup, but will ignore any declarations that are class members.
LookupOperatorName,
/// Look up of a name that precedes the '::' scope resolution
/// operator in C++. This lookup completely ignores operator, object,
/// function, and enumerator names (C++ [basic.lookup.qual]p1).
LookupNestedNameSpecifierName,
/// Look up a namespace name within a C++ using directive or
/// namespace alias definition, ignoring non-namespace names (C++
/// [basic.lookup.udir]p1).
LookupNamespaceName,
/// Look up all declarations in a scope with the given name,
/// including resolved using declarations. This is appropriate
/// for checking redeclarations for a using declaration.
LookupUsingDeclName,
/// Look up an ordinary name that is going to be redeclared as a
/// name with linkage. This lookup ignores any declarations that
/// are outside of the current scope unless they have linkage. See
/// C99 6.2.2p4-5 and C++ [basic.link]p6.
LookupRedeclarationWithLinkage,
/// Look up a friend of a local class. This lookup does not look
/// outside the innermost non-class scope. See C++11 [class.friend]p11.
LookupLocalFriendName,
/// Look up the name of an Objective-C protocol.
LookupObjCProtocolName,
/// Look up implicit 'self' parameter of an objective-c method.
LookupObjCImplicitSelfParam,
/// \brief Look up the name of an OpenMP user-defined reduction operation.
LookupOMPReductionName,
/// \brief Look up any declaration with any name.
LookupAnyName
};
/// \brief Specifies whether (or how) name lookup is being performed for a
/// redeclaration (vs. a reference).
enum RedeclarationKind {
/// \brief The lookup is a reference to this name that is not for the
/// purpose of redeclaring the name.
NotForRedeclaration = 0,
/// \brief The lookup results will be used for redeclaration of a name,
/// if an entity by that name already exists.
ForRedeclaration
};
/// \brief The possible outcomes of name lookup for a literal operator.
enum LiteralOperatorLookupResult {
/// \brief The lookup resulted in an error.
LOLR_Error,
/// \brief The lookup found a single 'cooked' literal operator, which
/// expects a normal literal to be built and passed to it.
LOLR_Cooked,
/// \brief The lookup found a single 'raw' literal operator, which expects
/// a string literal containing the spelling of the literal token.
LOLR_Raw,
/// \brief The lookup found an overload set of literal operator templates,
/// which expect the characters of the spelling of the literal token to be
/// passed as a non-type template argument pack.
LOLR_Template,
/// \brief The lookup found an overload set of literal operator templates,
/// which expect the character type and characters of the spelling of the
/// string literal token to be passed as template arguments.
LOLR_StringTemplate
};
SpecialMemberOverloadResult *LookupSpecialMember(CXXRecordDecl *D,
CXXSpecialMember SM,
bool ConstArg,
bool VolatileArg,
bool RValueThis,
bool ConstThis,
bool VolatileThis);
typedef std::function<void(const TypoCorrection &)> TypoDiagnosticGenerator;
typedef std::function<ExprResult(Sema &, TypoExpr *, TypoCorrection)>
TypoRecoveryCallback;
private:
bool CppLookupName(LookupResult &R, Scope *S);
struct TypoExprState {
std::unique_ptr<TypoCorrectionConsumer> Consumer;
TypoDiagnosticGenerator DiagHandler;
TypoRecoveryCallback RecoveryHandler;
TypoExprState();
TypoExprState(TypoExprState &&other) noexcept;
TypoExprState &operator=(TypoExprState &&other) noexcept;
};
/// \brief The set of unhandled TypoExprs and their associated state.
llvm::MapVector<TypoExpr *, TypoExprState> DelayedTypos;
/// \brief Creates a new TypoExpr AST node.
TypoExpr *createDelayedTypo(std::unique_ptr<TypoCorrectionConsumer> TCC,
TypoDiagnosticGenerator TDG,
TypoRecoveryCallback TRC);
// \brief The set of known/encountered (unique, canonicalized) NamespaceDecls.
//
// The boolean value will be true to indicate that the namespace was loaded
// from an AST/PCH file, or false otherwise.
llvm::MapVector<NamespaceDecl*, bool> KnownNamespaces;
/// \brief Whether we have already loaded known namespaces from an extenal
/// source.
bool LoadedExternalKnownNamespaces;
/// \brief Helper for CorrectTypo and CorrectTypoDelayed used to create and
/// populate a new TypoCorrectionConsumer. Returns nullptr if typo correction
/// should be skipped entirely.
std::unique_ptr<TypoCorrectionConsumer>
makeTypoCorrectionConsumer(const DeclarationNameInfo &Typo,
Sema::LookupNameKind LookupKind, Scope *S,
CXXScopeSpec *SS,
std::unique_ptr<CorrectionCandidateCallback> CCC,
DeclContext *MemberContext, bool EnteringContext,
const ObjCObjectPointerType *OPT,
bool ErrorRecovery);
public:
const TypoExprState &getTypoExprState(TypoExpr *TE) const;
/// \brief Clears the state of the given TypoExpr.
void clearDelayedTypo(TypoExpr *TE);
/// \brief Look up a name, looking for a single declaration. Return
/// null if the results were absent, ambiguous, or overloaded.
///
/// It is preferable to use the elaborated form and explicitly handle
/// ambiguity and overloaded.
NamedDecl *LookupSingleName(Scope *S, DeclarationName Name,
SourceLocation Loc,
LookupNameKind NameKind,
RedeclarationKind Redecl
= NotForRedeclaration);
bool LookupName(LookupResult &R, Scope *S,
bool AllowBuiltinCreation = false);
bool LookupQualifiedName(LookupResult &R, DeclContext *LookupCtx,
bool InUnqualifiedLookup = false);
bool LookupQualifiedName(LookupResult &R, DeclContext *LookupCtx,
CXXScopeSpec &SS);
bool LookupParsedName(LookupResult &R, Scope *S, CXXScopeSpec *SS,
bool AllowBuiltinCreation = false,
bool EnteringContext = false);
ObjCProtocolDecl *LookupProtocol(IdentifierInfo *II, SourceLocation IdLoc,
RedeclarationKind Redecl
= NotForRedeclaration);
bool LookupInSuper(LookupResult &R, CXXRecordDecl *Class);
void LookupOverloadedOperatorName(OverloadedOperatorKind Op, Scope *S,
QualType T1, QualType T2,
UnresolvedSetImpl &Functions);
void addOverloadedOperatorToUnresolvedSet(UnresolvedSetImpl &Functions,
DeclAccessPair Operator,
QualType T1, QualType T2);
LabelDecl *LookupOrCreateLabel(IdentifierInfo *II, SourceLocation IdentLoc,
SourceLocation GnuLabelLoc = SourceLocation());
DeclContextLookupResult LookupConstructors(CXXRecordDecl *Class);
CXXConstructorDecl *LookupDefaultConstructor(CXXRecordDecl *Class);
CXXConstructorDecl *LookupCopyingConstructor(CXXRecordDecl *Class,
unsigned Quals);
CXXMethodDecl *LookupCopyingAssignment(CXXRecordDecl *Class, unsigned Quals,
bool RValueThis, unsigned ThisQuals);
CXXConstructorDecl *LookupMovingConstructor(CXXRecordDecl *Class,
unsigned Quals);
CXXMethodDecl *LookupMovingAssignment(CXXRecordDecl *Class, unsigned Quals,
bool RValueThis, unsigned ThisQuals);
CXXDestructorDecl *LookupDestructor(CXXRecordDecl *Class);
bool checkLiteralOperatorId(const CXXScopeSpec &SS, const UnqualifiedId &Id);
LiteralOperatorLookupResult LookupLiteralOperator(Scope *S, LookupResult &R,
ArrayRef<QualType> ArgTys,
bool AllowRaw,
bool AllowTemplate,
bool AllowStringTemplate);
bool isKnownName(StringRef name);
void ArgumentDependentLookup(DeclarationName Name, SourceLocation Loc,
ArrayRef<Expr *> Args, ADLResult &Functions);
void LookupVisibleDecls(Scope *S, LookupNameKind Kind,
VisibleDeclConsumer &Consumer,
bool IncludeGlobalScope = true);
void LookupVisibleDecls(DeclContext *Ctx, LookupNameKind Kind,
VisibleDeclConsumer &Consumer,
bool IncludeGlobalScope = true,
bool IncludeDependentBases = false);
enum CorrectTypoKind {
CTK_NonError, // CorrectTypo used in a non error recovery situation.
CTK_ErrorRecovery // CorrectTypo used in normal error recovery.
};
TypoCorrection CorrectTypo(const DeclarationNameInfo &Typo,
Sema::LookupNameKind LookupKind,
Scope *S, CXXScopeSpec *SS,
std::unique_ptr<CorrectionCandidateCallback> CCC,
CorrectTypoKind Mode,
DeclContext *MemberContext = nullptr,
bool EnteringContext = false,
const ObjCObjectPointerType *OPT = nullptr,
bool RecordFailure = true);
TypoExpr *CorrectTypoDelayed(const DeclarationNameInfo &Typo,
Sema::LookupNameKind LookupKind, Scope *S,
CXXScopeSpec *SS,
std::unique_ptr<CorrectionCandidateCallback> CCC,
TypoDiagnosticGenerator TDG,
TypoRecoveryCallback TRC, CorrectTypoKind Mode,
DeclContext *MemberContext = nullptr,
bool EnteringContext = false,
const ObjCObjectPointerType *OPT = nullptr);
/// \brief Process any TypoExprs in the given Expr and its children,
/// generating diagnostics as appropriate and returning a new Expr if there
/// were typos that were all successfully corrected and ExprError if one or
/// more typos could not be corrected.
///
/// \param E The Expr to check for TypoExprs.
///
/// \param InitDecl A VarDecl to avoid because the Expr being corrected is its
/// initializer.
///
/// \param Filter A function applied to a newly rebuilt Expr to determine if
/// it is an acceptable/usable result from a single combination of typo
/// corrections. As long as the filter returns ExprError, different
/// combinations of corrections will be tried until all are exhausted.
ExprResult
CorrectDelayedTyposInExpr(Expr *E, VarDecl *InitDecl = nullptr,
llvm::function_ref<ExprResult(Expr *)> Filter =
[](Expr *E) -> ExprResult { return E; });
ExprResult
CorrectDelayedTyposInExpr(Expr *E,
llvm::function_ref<ExprResult(Expr *)> Filter) {
return CorrectDelayedTyposInExpr(E, nullptr, Filter);
}
ExprResult
CorrectDelayedTyposInExpr(ExprResult ER, VarDecl *InitDecl = nullptr,
llvm::function_ref<ExprResult(Expr *)> Filter =
[](Expr *E) -> ExprResult { return E; }) {
return ER.isInvalid() ? ER : CorrectDelayedTyposInExpr(ER.get(), Filter);
}
ExprResult
CorrectDelayedTyposInExpr(ExprResult ER,
llvm::function_ref<ExprResult(Expr *)> Filter) {
return CorrectDelayedTyposInExpr(ER, nullptr, Filter);
}
void diagnoseTypo(const TypoCorrection &Correction,
const PartialDiagnostic &TypoDiag,
bool ErrorRecovery = true);
void diagnoseTypo(const TypoCorrection &Correction,
const PartialDiagnostic &TypoDiag,
const PartialDiagnostic &PrevNote,
bool ErrorRecovery = true);
void MarkTypoCorrectedFunctionDefinition(const NamedDecl *F);
void FindAssociatedClassesAndNamespaces(SourceLocation InstantiationLoc,
ArrayRef<Expr *> Args,
AssociatedNamespaceSet &AssociatedNamespaces,
AssociatedClassSet &AssociatedClasses);
void FilterLookupForScope(LookupResult &R, DeclContext *Ctx, Scope *S,
bool ConsiderLinkage, bool AllowInlineNamespace);
void DiagnoseAmbiguousLookup(LookupResult &Result);
//@}
ObjCInterfaceDecl *getObjCInterfaceDecl(IdentifierInfo *&Id,
SourceLocation IdLoc,
bool TypoCorrection = false);
NamedDecl *LazilyCreateBuiltin(IdentifierInfo *II, unsigned ID,
Scope *S, bool ForRedeclaration,
SourceLocation Loc);
NamedDecl *ImplicitlyDefineFunction(SourceLocation Loc, IdentifierInfo &II,
Scope *S);
void AddKnownFunctionAttributes(FunctionDecl *FD);
// More parsing and symbol table subroutines.
void ProcessPragmaWeak(Scope *S, Decl *D);
// Decl attributes - this routine is the top level dispatcher.
void ProcessDeclAttributes(Scope *S, Decl *D, const Declarator &PD);
void ProcessDeclAttributeList(Scope *S, Decl *D, const AttributeList *AL,
bool IncludeCXX11Attributes = true);
bool ProcessAccessDeclAttributeList(AccessSpecDecl *ASDecl,
const AttributeList *AttrList);
void checkUnusedDeclAttributes(Declarator &D);
/// Map any API notes provided for this declaration to attributes on the
/// declaration.
///
/// Triggered by declaration-attribute processing.
void ProcessAPINotes(Decl *D);
/// Determine if type T is a valid subject for a nonnull and similar
/// attributes. By default, we look through references (the behavior used by
/// nonnull), but if the second parameter is true, then we treat a reference
/// type as valid.
bool isValidPointerAttrType(QualType T, bool RefOkay = false);
bool CheckRegparmAttr(const AttributeList &attr, unsigned &value);
bool CheckCallingConvAttr(const AttributeList &attr, CallingConv &CC,
const FunctionDecl *FD = nullptr);
bool CheckNoReturnAttr(const AttributeList &attr);
bool checkStringLiteralArgumentAttr(const AttributeList &Attr,
unsigned ArgNum, StringRef &Str,
SourceLocation *ArgLocation = nullptr);
bool checkSectionName(SourceLocation LiteralLoc, StringRef Str);
void checkTargetAttr(SourceLocation LiteralLoc, StringRef Str);
bool checkMSInheritanceAttrOnDefinition(
CXXRecordDecl *RD, SourceRange Range, bool BestCase,
MSInheritanceAttr::Spelling SemanticSpelling);
void CheckAlignasUnderalignment(Decl *D);
/// Adjust the calling convention of a method to be the ABI default if it
/// wasn't specified explicitly. This handles method types formed from
/// function type typedefs and typename template arguments.
void adjustMemberFunctionCC(QualType &T, bool IsStatic, bool IsCtorOrDtor,
SourceLocation Loc);
// Check if there is an explicit attribute, but only look through parens.
// The intent is to look for an attribute on the current declarator, but not
// one that came from a typedef.
bool hasExplicitCallingConv(QualType &T);
/// Get the outermost AttributedType node that sets a calling convention.
/// Valid types should not have multiple attributes with different CCs.
const AttributedType *getCallingConvAttributedType(QualType T) const;
/// Check whether a nullability type specifier can be added to the given
/// type.
///
/// \param type The type to which the nullability specifier will be
/// added. On success, this type will be updated appropriately.
///
/// \param nullability The nullability specifier to add.
///
/// \param nullabilityLoc The location of the nullability specifier.
///
/// \param isContextSensitive Whether this nullability specifier was
/// written as a context-sensitive keyword (in an Objective-C
/// method) or an Objective-C property attribute, rather than as an
/// underscored type specifier.
///
/// \param allowArrayTypes Whether to accept nullability specifiers on an
/// array type (e.g., because it will decay to a pointer).
///
/// \param overrideExisting Whether to override an existing, locally-specified
/// nullability specifier rather than complaining about the conflict.
///
/// \returns true if nullability cannot be applied, false otherwise.
bool checkNullabilityTypeSpecifier(QualType &type, NullabilityKind nullability,
SourceLocation nullabilityLoc,
bool isContextSensitive,
bool allowArrayTypes,
bool implicit,
bool overrideExisting = false);
/// \brief Stmt attributes - this routine is the top level dispatcher.
StmtResult ProcessStmtAttributes(Stmt *Stmt, AttributeList *Attrs,
SourceRange Range);
void WarnConflictingTypedMethods(ObjCMethodDecl *Method,
ObjCMethodDecl *MethodDecl,
bool IsProtocolMethodDecl);
void CheckConflictingOverridingMethod(ObjCMethodDecl *Method,
ObjCMethodDecl *Overridden,
bool IsProtocolMethodDecl);
/// WarnExactTypedMethods - This routine issues a warning if method
/// implementation declaration matches exactly that of its declaration.
void WarnExactTypedMethods(ObjCMethodDecl *Method,
ObjCMethodDecl *MethodDecl,
bool IsProtocolMethodDecl);
typedef llvm::SmallPtrSet<Selector, 8> SelectorSet;
typedef llvm::DenseMap<Selector, ObjCMethodDecl*> ProtocolsMethodsMap;
/// CheckImplementationIvars - This routine checks if the instance variables
/// listed in the implelementation match those listed in the interface.
void CheckImplementationIvars(ObjCImplementationDecl *ImpDecl,
ObjCIvarDecl **Fields, unsigned nIvars,
SourceLocation Loc);
/// ImplMethodsVsClassMethods - This is main routine to warn if any method
/// remains unimplemented in the class or category \@implementation.
void ImplMethodsVsClassMethods(Scope *S, ObjCImplDecl* IMPDecl,
ObjCContainerDecl* IDecl,
bool IncompleteImpl = false);
/// DiagnoseUnimplementedProperties - This routine warns on those properties
/// which must be implemented by this implementation.
void DiagnoseUnimplementedProperties(Scope *S, ObjCImplDecl* IMPDecl,
ObjCContainerDecl *CDecl,
bool SynthesizeProperties);
/// Diagnose any null-resettable synthesized setters.
void diagnoseNullResettableSynthesizedSetters(const ObjCImplDecl *impDecl);
/// DefaultSynthesizeProperties - This routine default synthesizes all
/// properties which must be synthesized in the class's \@implementation.
void DefaultSynthesizeProperties(Scope *S, ObjCImplDecl *IMPDecl,
ObjCInterfaceDecl *IDecl,
SourceLocation AtEnd);
void DefaultSynthesizeProperties(Scope *S, Decl *D, SourceLocation AtEnd);
/// IvarBacksCurrentMethodAccessor - This routine returns 'true' if 'IV' is
/// an ivar synthesized for 'Method' and 'Method' is a property accessor
/// declared in class 'IFace'.
bool IvarBacksCurrentMethodAccessor(ObjCInterfaceDecl *IFace,
ObjCMethodDecl *Method, ObjCIvarDecl *IV);
/// DiagnoseUnusedBackingIvarInAccessor - Issue an 'unused' warning if ivar which
/// backs the property is not used in the property's accessor.
void DiagnoseUnusedBackingIvarInAccessor(Scope *S,
const ObjCImplementationDecl *ImplD);
/// GetIvarBackingPropertyAccessor - If method is a property setter/getter and
/// it property has a backing ivar, returns this ivar; otherwise, returns NULL.
/// It also returns ivar's property on success.
ObjCIvarDecl *GetIvarBackingPropertyAccessor(const ObjCMethodDecl *Method,
const ObjCPropertyDecl *&PDecl) const;
/// Called by ActOnProperty to handle \@property declarations in
/// class extensions.
ObjCPropertyDecl *HandlePropertyInClassExtension(Scope *S,
SourceLocation AtLoc,
SourceLocation LParenLoc,
FieldDeclarator &FD,
Selector GetterSel,
SourceLocation GetterNameLoc,
Selector SetterSel,
SourceLocation SetterNameLoc,
const bool isReadWrite,
unsigned &Attributes,
const unsigned AttributesAsWritten,
QualType T,
TypeSourceInfo *TSI,
tok::ObjCKeywordKind MethodImplKind);
/// Called by ActOnProperty and HandlePropertyInClassExtension to
/// handle creating the ObjcPropertyDecl for a category or \@interface.
ObjCPropertyDecl *CreatePropertyDecl(Scope *S,
ObjCContainerDecl *CDecl,
SourceLocation AtLoc,
SourceLocation LParenLoc,
FieldDeclarator &FD,
Selector GetterSel,
SourceLocation GetterNameLoc,
Selector SetterSel,
SourceLocation SetterNameLoc,
const bool isReadWrite,
const unsigned Attributes,
const unsigned AttributesAsWritten,
QualType T,
TypeSourceInfo *TSI,
tok::ObjCKeywordKind MethodImplKind,
DeclContext *lexicalDC = nullptr);
/// AtomicPropertySetterGetterRules - This routine enforces the rule (via
/// warning) when atomic property has one but not the other user-declared
/// setter or getter.
void AtomicPropertySetterGetterRules(ObjCImplDecl* IMPDecl,
ObjCInterfaceDecl* IDecl);
void DiagnoseOwningPropertyGetterSynthesis(const ObjCImplementationDecl *D);
void DiagnoseMissingDesignatedInitOverrides(
const ObjCImplementationDecl *ImplD,
const ObjCInterfaceDecl *IFD);
void DiagnoseDuplicateIvars(ObjCInterfaceDecl *ID, ObjCInterfaceDecl *SID);
enum MethodMatchStrategy {
MMS_loose,
MMS_strict
};
/// MatchTwoMethodDeclarations - Checks if two methods' type match and returns
/// true, or false, accordingly.
bool MatchTwoMethodDeclarations(const ObjCMethodDecl *Method,
const ObjCMethodDecl *PrevMethod,
MethodMatchStrategy strategy = MMS_strict);
/// MatchAllMethodDeclarations - Check methods declaraed in interface or
/// or protocol against those declared in their implementations.
void MatchAllMethodDeclarations(const SelectorSet &InsMap,
const SelectorSet &ClsMap,
SelectorSet &InsMapSeen,
SelectorSet &ClsMapSeen,
ObjCImplDecl* IMPDecl,
ObjCContainerDecl* IDecl,
bool &IncompleteImpl,
bool ImmediateClass,
bool WarnCategoryMethodImpl=false);
/// CheckCategoryVsClassMethodMatches - Checks that methods implemented in
/// category matches with those implemented in its primary class and
/// warns each time an exact match is found.
void CheckCategoryVsClassMethodMatches(ObjCCategoryImplDecl *CatIMP);
/// \brief Add the given method to the list of globally-known methods.
void addMethodToGlobalList(ObjCMethodList *List, ObjCMethodDecl *Method);
private:
/// AddMethodToGlobalPool - Add an instance or factory method to the global
/// pool. See descriptoin of AddInstanceMethodToGlobalPool.
void AddMethodToGlobalPool(ObjCMethodDecl *Method, bool impl, bool instance);
/// LookupMethodInGlobalPool - Returns the instance or factory method and
/// optionally warns if there are multiple signatures.
ObjCMethodDecl *LookupMethodInGlobalPool(Selector Sel, SourceRange R,
bool receiverIdOrClass,
bool instance);
public:
/// \brief - Returns instance or factory methods in global method pool for
/// given selector. It checks the desired kind first, if none is found, and
/// parameter checkTheOther is set, it then checks the other kind. If no such
/// method or only one method is found, function returns false; otherwise, it
/// returns true.
bool
CollectMultipleMethodsInGlobalPool(Selector Sel,
SmallVectorImpl<ObjCMethodDecl*>& Methods,
bool InstanceFirst, bool CheckTheOther,
const ObjCObjectType *TypeBound = nullptr);
bool
AreMultipleMethodsInGlobalPool(Selector Sel, ObjCMethodDecl *BestMethod,
SourceRange R, bool receiverIdOrClass,
SmallVectorImpl<ObjCMethodDecl*>& Methods);
void
DiagnoseMultipleMethodInGlobalPool(SmallVectorImpl<ObjCMethodDecl*> &Methods,
Selector Sel, SourceRange R,
bool receiverIdOrClass);
private:
/// \brief - Returns a selector which best matches given argument list or
/// nullptr if none could be found
ObjCMethodDecl *SelectBestMethod(Selector Sel, MultiExprArg Args,
bool IsInstance,
SmallVectorImpl<ObjCMethodDecl*>& Methods);
/// \brief Record the typo correction failure and return an empty correction.
TypoCorrection FailedCorrection(IdentifierInfo *Typo, SourceLocation TypoLoc,
bool RecordFailure = true) {
if (RecordFailure)
TypoCorrectionFailures[Typo].insert(TypoLoc);
return TypoCorrection();
}
public:
/// AddInstanceMethodToGlobalPool - All instance methods in a translation
/// unit are added to a global pool. This allows us to efficiently associate
/// a selector with a method declaraation for purposes of typechecking
/// messages sent to "id" (where the class of the object is unknown).
void AddInstanceMethodToGlobalPool(ObjCMethodDecl *Method, bool impl=false) {
AddMethodToGlobalPool(Method, impl, /*instance*/true);
}
/// AddFactoryMethodToGlobalPool - Same as above, but for factory methods.
void AddFactoryMethodToGlobalPool(ObjCMethodDecl *Method, bool impl=false) {
AddMethodToGlobalPool(Method, impl, /*instance*/false);
}
/// AddAnyMethodToGlobalPool - Add any method, instance or factory to global
/// pool.
void AddAnyMethodToGlobalPool(Decl *D);
/// LookupInstanceMethodInGlobalPool - Returns the method and warns if
/// there are multiple signatures.
ObjCMethodDecl *LookupInstanceMethodInGlobalPool(Selector Sel, SourceRange R,
bool receiverIdOrClass=false) {
return LookupMethodInGlobalPool(Sel, R, receiverIdOrClass,
/*instance*/true);
}
/// LookupFactoryMethodInGlobalPool - Returns the method and warns if
/// there are multiple signatures.
ObjCMethodDecl *LookupFactoryMethodInGlobalPool(Selector Sel, SourceRange R,
bool receiverIdOrClass=false) {
return LookupMethodInGlobalPool(Sel, R, receiverIdOrClass,
/*instance*/false);
}
const ObjCMethodDecl *SelectorsForTypoCorrection(Selector Sel,
QualType ObjectType=QualType());
/// LookupImplementedMethodInGlobalPool - Returns the method which has an
/// implementation.
ObjCMethodDecl *LookupImplementedMethodInGlobalPool(Selector Sel);
/// CollectIvarsToConstructOrDestruct - Collect those ivars which require
/// initialization.
void CollectIvarsToConstructOrDestruct(ObjCInterfaceDecl *OI,
SmallVectorImpl<ObjCIvarDecl*> &Ivars);
//===--------------------------------------------------------------------===//
// Statement Parsing Callbacks: SemaStmt.cpp.
public:
class FullExprArg {
public:
FullExprArg() : E(nullptr) { }
FullExprArg(Sema &actions) : E(nullptr) { }
ExprResult release() {
return E;
}
Expr *get() const { return E; }
Expr *operator->() {
return E;
}
private:
// FIXME: No need to make the entire Sema class a friend when it's just
// Sema::MakeFullExpr that needs access to the constructor below.
friend class Sema;
explicit FullExprArg(Expr *expr) : E(expr) {}
Expr *E;
};
FullExprArg MakeFullExpr(Expr *Arg) {
return MakeFullExpr(Arg, Arg ? Arg->getExprLoc() : SourceLocation());
}
FullExprArg MakeFullExpr(Expr *Arg, SourceLocation CC) {
return FullExprArg(ActOnFinishFullExpr(Arg, CC).get());
}
FullExprArg MakeFullDiscardedValueExpr(Expr *Arg) {
ExprResult FE =
ActOnFinishFullExpr(Arg, Arg ? Arg->getExprLoc() : SourceLocation(),
/*DiscardedValue*/ true);
return FullExprArg(FE.get());
}
StmtResult ActOnExprStmt(ExprResult Arg);
StmtResult ActOnExprStmtError();
StmtResult ActOnNullStmt(SourceLocation SemiLoc,
bool HasLeadingEmptyMacro = false);
void ActOnStartOfCompoundStmt();
void ActOnFinishOfCompoundStmt();
StmtResult ActOnCompoundStmt(SourceLocation L, SourceLocation R,
ArrayRef<Stmt *> Elts, bool isStmtExpr);
/// \brief A RAII object to enter scope of a compound statement.
class CompoundScopeRAII {
public:
CompoundScopeRAII(Sema &S): S(S) {
S.ActOnStartOfCompoundStmt();
}
~CompoundScopeRAII() {
S.ActOnFinishOfCompoundStmt();
}
private:
Sema &S;
};
/// An RAII helper that pops function a function scope on exit.
struct FunctionScopeRAII {
Sema &S;
bool Active;
FunctionScopeRAII(Sema &S) : S(S), Active(true) {}
~FunctionScopeRAII() {
if (Active)
S.PopFunctionScopeInfo();
}
void disable() { Active = false; }
};
StmtResult ActOnDeclStmt(DeclGroupPtrTy Decl,
SourceLocation StartLoc,
SourceLocation EndLoc);
void ActOnForEachDeclStmt(DeclGroupPtrTy Decl);
StmtResult ActOnForEachLValueExpr(Expr *E);
StmtResult ActOnCaseStmt(SourceLocation CaseLoc, Expr *LHSVal,
SourceLocation DotDotDotLoc, Expr *RHSVal,
SourceLocation ColonLoc);
void ActOnCaseStmtBody(Stmt *CaseStmt, Stmt *SubStmt);
StmtResult ActOnDefaultStmt(SourceLocation DefaultLoc,
SourceLocation ColonLoc,
Stmt *SubStmt, Scope *CurScope);
StmtResult ActOnLabelStmt(SourceLocation IdentLoc, LabelDecl *TheDecl,
SourceLocation ColonLoc, Stmt *SubStmt);
StmtResult ActOnAttributedStmt(SourceLocation AttrLoc,
ArrayRef<const Attr*> Attrs,
Stmt *SubStmt);
class ConditionResult;
StmtResult ActOnIfStmt(SourceLocation IfLoc, bool IsConstexpr,
Stmt *InitStmt,
ConditionResult Cond, Stmt *ThenVal,
SourceLocation ElseLoc, Stmt *ElseVal);
StmtResult BuildIfStmt(SourceLocation IfLoc, bool IsConstexpr,
Stmt *InitStmt,
ConditionResult Cond, Stmt *ThenVal,
SourceLocation ElseLoc, Stmt *ElseVal);
StmtResult ActOnStartOfSwitchStmt(SourceLocation SwitchLoc,
Stmt *InitStmt,
ConditionResult Cond);
StmtResult ActOnFinishSwitchStmt(SourceLocation SwitchLoc,
Stmt *Switch, Stmt *Body);
StmtResult ActOnWhileStmt(SourceLocation WhileLoc, ConditionResult Cond,
Stmt *Body);
StmtResult ActOnDoStmt(SourceLocation DoLoc, Stmt *Body,
SourceLocation WhileLoc, SourceLocation CondLParen,
Expr *Cond, SourceLocation CondRParen);
StmtResult ActOnForStmt(SourceLocation ForLoc,
SourceLocation LParenLoc,
Stmt *First,
ConditionResult Second,
FullExprArg Third,
SourceLocation RParenLoc,
Stmt *Body);
ExprResult CheckObjCForCollectionOperand(SourceLocation forLoc,
Expr *collection);
StmtResult ActOnObjCForCollectionStmt(SourceLocation ForColLoc,
Stmt *First, Expr *collection,
SourceLocation RParenLoc);
StmtResult FinishObjCForCollectionStmt(Stmt *ForCollection, Stmt *Body);
enum BuildForRangeKind {
/// Initial building of a for-range statement.
BFRK_Build,
/// Instantiation or recovery rebuild of a for-range statement. Don't
/// attempt any typo-correction.
BFRK_Rebuild,
/// Determining whether a for-range statement could be built. Avoid any
/// unnecessary or irreversible actions.
BFRK_Check
};
StmtResult ActOnCXXForRangeStmt(Scope *S, SourceLocation ForLoc,
SourceLocation CoawaitLoc,
Stmt *LoopVar,
SourceLocation ColonLoc, Expr *Collection,
SourceLocation RParenLoc,
BuildForRangeKind Kind);
StmtResult BuildCXXForRangeStmt(SourceLocation ForLoc,
SourceLocation CoawaitLoc,
SourceLocation ColonLoc,
Stmt *RangeDecl, Stmt *Begin, Stmt *End,
Expr *Cond, Expr *Inc,
Stmt *LoopVarDecl,
SourceLocation RParenLoc,
BuildForRangeKind Kind);
StmtResult FinishCXXForRangeStmt(Stmt *ForRange, Stmt *Body);
StmtResult ActOnGotoStmt(SourceLocation GotoLoc,
SourceLocation LabelLoc,
LabelDecl *TheDecl);
StmtResult ActOnIndirectGotoStmt(SourceLocation GotoLoc,
SourceLocation StarLoc,
Expr *DestExp);
StmtResult ActOnContinueStmt(SourceLocation ContinueLoc, Scope *CurScope);
StmtResult ActOnBreakStmt(SourceLocation BreakLoc, Scope *CurScope);
void ActOnCapturedRegionStart(SourceLocation Loc, Scope *CurScope,
CapturedRegionKind Kind, unsigned NumParams);
typedef std::pair<StringRef, QualType> CapturedParamNameType;
void ActOnCapturedRegionStart(SourceLocation Loc, Scope *CurScope,
CapturedRegionKind Kind,
ArrayRef<CapturedParamNameType> Params);
StmtResult ActOnCapturedRegionEnd(Stmt *S);
void ActOnCapturedRegionError();
RecordDecl *CreateCapturedStmtRecordDecl(CapturedDecl *&CD,
SourceLocation Loc,
unsigned NumParams);
VarDecl *getCopyElisionCandidate(QualType ReturnType, Expr *E,
bool AllowParamOrMoveConstructible);
bool isCopyElisionCandidate(QualType ReturnType, const VarDecl *VD,
bool AllowParamOrMoveConstructible);
StmtResult ActOnReturnStmt(SourceLocation ReturnLoc, Expr *RetValExp,
Scope *CurScope);
StmtResult BuildReturnStmt(SourceLocation ReturnLoc, Expr *RetValExp);
StmtResult ActOnCapScopeReturnStmt(SourceLocation ReturnLoc, Expr *RetValExp);
StmtResult ActOnGCCAsmStmt(SourceLocation AsmLoc, bool IsSimple,
bool IsVolatile, unsigned NumOutputs,
unsigned NumInputs, IdentifierInfo **Names,
MultiExprArg Constraints, MultiExprArg Exprs,
Expr *AsmString, MultiExprArg Clobbers,
SourceLocation RParenLoc);
ExprResult LookupInlineAsmIdentifier(CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
UnqualifiedId &Id,
llvm::InlineAsmIdentifierInfo &Info,
bool IsUnevaluatedContext);
bool LookupInlineAsmField(StringRef Base, StringRef Member,
unsigned &Offset, SourceLocation AsmLoc);
ExprResult LookupInlineAsmVarDeclField(Expr *RefExpr, StringRef Member,
llvm::InlineAsmIdentifierInfo &Info,
SourceLocation AsmLoc);
StmtResult ActOnMSAsmStmt(SourceLocation AsmLoc, SourceLocation LBraceLoc,
ArrayRef<Token> AsmToks,
StringRef AsmString,
unsigned NumOutputs, unsigned NumInputs,
ArrayRef<StringRef> Constraints,
ArrayRef<StringRef> Clobbers,
ArrayRef<Expr*> Exprs,
SourceLocation EndLoc);
LabelDecl *GetOrCreateMSAsmLabel(StringRef ExternalLabelName,
SourceLocation Location,
bool AlwaysCreate);
VarDecl *BuildObjCExceptionDecl(TypeSourceInfo *TInfo, QualType ExceptionType,
SourceLocation StartLoc,
SourceLocation IdLoc, IdentifierInfo *Id,
bool Invalid = false);
Decl *ActOnObjCExceptionDecl(Scope *S, Declarator &D);
StmtResult ActOnObjCAtCatchStmt(SourceLocation AtLoc, SourceLocation RParen,
Decl *Parm, Stmt *Body);
StmtResult ActOnObjCAtFinallyStmt(SourceLocation AtLoc, Stmt *Body);
StmtResult ActOnObjCAtTryStmt(SourceLocation AtLoc, Stmt *Try,
MultiStmtArg Catch, Stmt *Finally);
StmtResult BuildObjCAtThrowStmt(SourceLocation AtLoc, Expr *Throw);
StmtResult ActOnObjCAtThrowStmt(SourceLocation AtLoc, Expr *Throw,
Scope *CurScope);
ExprResult ActOnObjCAtSynchronizedOperand(SourceLocation atLoc,
Expr *operand);
StmtResult ActOnObjCAtSynchronizedStmt(SourceLocation AtLoc,
Expr *SynchExpr,
Stmt *SynchBody);
StmtResult ActOnObjCAutoreleasePoolStmt(SourceLocation AtLoc, Stmt *Body);
VarDecl *BuildExceptionDeclaration(Scope *S, TypeSourceInfo *TInfo,
SourceLocation StartLoc,
SourceLocation IdLoc,
IdentifierInfo *Id);
Decl *ActOnExceptionDeclarator(Scope *S, Declarator &D);
StmtResult ActOnCXXCatchBlock(SourceLocation CatchLoc,
Decl *ExDecl, Stmt *HandlerBlock);
StmtResult ActOnCXXTryBlock(SourceLocation TryLoc, Stmt *TryBlock,
ArrayRef<Stmt *> Handlers);
StmtResult ActOnSEHTryBlock(bool IsCXXTry, // try (true) or __try (false) ?
SourceLocation TryLoc, Stmt *TryBlock,
Stmt *Handler);
StmtResult ActOnSEHExceptBlock(SourceLocation Loc,
Expr *FilterExpr,
Stmt *Block);
void ActOnStartSEHFinallyBlock();
void ActOnAbortSEHFinallyBlock();
StmtResult ActOnFinishSEHFinallyBlock(SourceLocation Loc, Stmt *Block);
StmtResult ActOnSEHLeaveStmt(SourceLocation Loc, Scope *CurScope);
void DiagnoseReturnInConstructorExceptionHandler(CXXTryStmt *TryBlock);
bool ShouldWarnIfUnusedFileScopedDecl(const DeclaratorDecl *D) const;
/// \brief If it's a file scoped decl that must warn if not used, keep track
/// of it.
void MarkUnusedFileScopedDecl(const DeclaratorDecl *D);
/// DiagnoseUnusedExprResult - If the statement passed in is an expression
/// whose result is unused, warn.
void DiagnoseUnusedExprResult(const Stmt *S);
void DiagnoseUnusedNestedTypedefs(const RecordDecl *D);
void DiagnoseUnusedDecl(const NamedDecl *ND);
/// Emit \p DiagID if statement located on \p StmtLoc has a suspicious null
/// statement as a \p Body, and it is located on the same line.
///
/// This helps prevent bugs due to typos, such as:
/// if (condition);
/// do_stuff();
void DiagnoseEmptyStmtBody(SourceLocation StmtLoc,
const Stmt *Body,
unsigned DiagID);
/// Warn if a for/while loop statement \p S, which is followed by
/// \p PossibleBody, has a suspicious null statement as a body.
void DiagnoseEmptyLoopBody(const Stmt *S,
const Stmt *PossibleBody);
/// Warn if a value is moved to itself.
void DiagnoseSelfMove(const Expr *LHSExpr, const Expr *RHSExpr,
SourceLocation OpLoc);
/// \brief Warn if we're implicitly casting from a _Nullable pointer type to a
/// _Nonnull one.
void diagnoseNullableToNonnullConversion(QualType DstType, QualType SrcType,
SourceLocation Loc);
ParsingDeclState PushParsingDeclaration(sema::DelayedDiagnosticPool &pool) {
return DelayedDiagnostics.push(pool);
}
void PopParsingDeclaration(ParsingDeclState state, Decl *decl);
typedef ProcessingContextState ParsingClassState;
ParsingClassState PushParsingClass() {
return DelayedDiagnostics.pushUndelayed();
}
void PopParsingClass(ParsingClassState state) {
DelayedDiagnostics.popUndelayed(state);
}
void redelayDiagnostics(sema::DelayedDiagnosticPool &pool);
void EmitAvailabilityWarning(AvailabilityResult AR, NamedDecl *D,
StringRef Message, SourceLocation Loc,
const ObjCInterfaceDecl *UnknownObjCClass,
const ObjCPropertyDecl *ObjCProperty,
bool ObjCPropertyAccess);
bool makeUnavailableInSystemHeader(SourceLocation loc,
UnavailableAttr::ImplicitReason reason);
/// \brief Issue any -Wunguarded-availability warnings in \c FD
void DiagnoseUnguardedAvailabilityViolations(Decl *FD);
//===--------------------------------------------------------------------===//
// Expression Parsing Callbacks: SemaExpr.cpp.
bool CanUseDecl(NamedDecl *D, bool TreatUnavailableAsInvalid);
bool DiagnoseUseOfDecl(NamedDecl *D, SourceLocation Loc,
const ObjCInterfaceDecl *UnknownObjCClass=nullptr,
bool ObjCPropertyAccess=false);
void NoteDeletedFunction(FunctionDecl *FD);
void NoteDeletedInheritingConstructor(CXXConstructorDecl *CD);
std::string getDeletedOrUnavailableSuffix(const FunctionDecl *FD);
bool DiagnosePropertyAccessorMismatch(ObjCPropertyDecl *PD,
ObjCMethodDecl *Getter,
SourceLocation Loc);
void DiagnoseSentinelCalls(NamedDecl *D, SourceLocation Loc,
ArrayRef<Expr *> Args);
void PushExpressionEvaluationContext(ExpressionEvaluationContext NewContext,
Decl *LambdaContextDecl = nullptr,
bool IsDecltype = false);
enum ReuseLambdaContextDecl_t { ReuseLambdaContextDecl };
void PushExpressionEvaluationContext(ExpressionEvaluationContext NewContext,
ReuseLambdaContextDecl_t,
bool IsDecltype = false);
void PopExpressionEvaluationContext();
void DiscardCleanupsInEvaluationContext();
ExprResult TransformToPotentiallyEvaluated(Expr *E);
ExprResult HandleExprEvaluationContextForTypeof(Expr *E);
ExprResult ActOnConstantExpression(ExprResult Res);
// Functions for marking a declaration referenced. These functions also
// contain the relevant logic for marking if a reference to a function or
// variable is an odr-use (in the C++11 sense). There are separate variants
// for expressions referring to a decl; these exist because odr-use marking
// needs to be delayed for some constant variables when we build one of the
// named expressions.
//
// MightBeOdrUse indicates whether the use could possibly be an odr-use, and
// should usually be true. This only needs to be set to false if the lack of
// odr-use cannot be determined from the current context (for instance,
// because the name denotes a virtual function and was written without an
// explicit nested-name-specifier).
void MarkAnyDeclReferenced(SourceLocation Loc, Decl *D, bool MightBeOdrUse);
void MarkFunctionReferenced(SourceLocation Loc, FunctionDecl *Func,
bool MightBeOdrUse = true);
void MarkVariableReferenced(SourceLocation Loc, VarDecl *Var);
void MarkDeclRefReferenced(DeclRefExpr *E);
void MarkMemberReferenced(MemberExpr *E);
void UpdateMarkingForLValueToRValue(Expr *E);
void CleanupVarDeclMarking();
enum TryCaptureKind {
TryCapture_Implicit, TryCapture_ExplicitByVal, TryCapture_ExplicitByRef
};
/// \brief Try to capture the given variable.
///
/// \param Var The variable to capture.
///
/// \param Loc The location at which the capture occurs.
///
/// \param Kind The kind of capture, which may be implicit (for either a
/// block or a lambda), or explicit by-value or by-reference (for a lambda).
///
/// \param EllipsisLoc The location of the ellipsis, if one is provided in
/// an explicit lambda capture.
///
/// \param BuildAndDiagnose Whether we are actually supposed to add the
/// captures or diagnose errors. If false, this routine merely check whether
/// the capture can occur without performing the capture itself or complaining
/// if the variable cannot be captured.
///
/// \param CaptureType Will be set to the type of the field used to capture
/// this variable in the innermost block or lambda. Only valid when the
/// variable can be captured.
///
/// \param DeclRefType Will be set to the type of a reference to the capture
/// from within the current scope. Only valid when the variable can be
/// captured.
///
/// \param FunctionScopeIndexToStopAt If non-null, it points to the index
/// of the FunctionScopeInfo stack beyond which we do not attempt to capture.
/// This is useful when enclosing lambdas must speculatively capture
/// variables that may or may not be used in certain specializations of
/// a nested generic lambda.
///
/// \returns true if an error occurred (i.e., the variable cannot be
/// captured) and false if the capture succeeded.
bool tryCaptureVariable(VarDecl *Var, SourceLocation Loc, TryCaptureKind Kind,
SourceLocation EllipsisLoc, bool BuildAndDiagnose,
QualType &CaptureType,
QualType &DeclRefType,
const unsigned *const FunctionScopeIndexToStopAt);
/// \brief Try to capture the given variable.
bool tryCaptureVariable(VarDecl *Var, SourceLocation Loc,
TryCaptureKind Kind = TryCapture_Implicit,
SourceLocation EllipsisLoc = SourceLocation());
/// \brief Checks if the variable must be captured.
bool NeedToCaptureVariable(VarDecl *Var, SourceLocation Loc);
/// \brief Given a variable, determine the type that a reference to that
/// variable will have in the given scope.
QualType getCapturedDeclRefType(VarDecl *Var, SourceLocation Loc);
/// Mark all of the declarations referenced within a particular AST node as
/// referenced. Used when template instantiation instantiates a non-dependent
/// type -- entities referenced by the type are now referenced.
void MarkDeclarationsReferencedInType(SourceLocation Loc, QualType T);
void MarkDeclarationsReferencedInExpr(Expr *E,
bool SkipLocalVariables = false);
/// \brief Try to recover by turning the given expression into a
/// call. Returns true if recovery was attempted or an error was
/// emitted; this may also leave the ExprResult invalid.
bool tryToRecoverWithCall(ExprResult &E, const PartialDiagnostic &PD,
bool ForceComplain = false,
bool (*IsPlausibleResult)(QualType) = nullptr);
/// \brief Figure out if an expression could be turned into a call.
bool tryExprAsCall(Expr &E, QualType &ZeroArgCallReturnTy,
UnresolvedSetImpl &NonTemplateOverloads);
/// \brief Conditionally issue a diagnostic based on the current
/// evaluation context.
///
/// \param Statement If Statement is non-null, delay reporting the
/// diagnostic until the function body is parsed, and then do a basic
/// reachability analysis to determine if the statement is reachable.
/// If it is unreachable, the diagnostic will not be emitted.
bool DiagRuntimeBehavior(SourceLocation Loc, const Stmt *Statement,
const PartialDiagnostic &PD);
// Primary Expressions.
SourceRange getExprRange(Expr *E) const;
ExprResult ActOnIdExpression(
Scope *S, CXXScopeSpec &SS, SourceLocation TemplateKWLoc,
UnqualifiedId &Id, bool HasTrailingLParen, bool IsAddressOfOperand,
std::unique_ptr<CorrectionCandidateCallback> CCC = nullptr,
bool IsInlineAsmIdentifier = false, Token *KeywordReplacement = nullptr);
void DecomposeUnqualifiedId(const UnqualifiedId &Id,
TemplateArgumentListInfo &Buffer,
DeclarationNameInfo &NameInfo,
const TemplateArgumentListInfo *&TemplateArgs);
bool
DiagnoseEmptyLookup(Scope *S, CXXScopeSpec &SS, LookupResult &R,
std::unique_ptr<CorrectionCandidateCallback> CCC,
TemplateArgumentListInfo *ExplicitTemplateArgs = nullptr,
ArrayRef<Expr *> Args = None, TypoExpr **Out = nullptr);
ExprResult LookupInObjCMethod(LookupResult &LookUp, Scope *S,
IdentifierInfo *II,
bool AllowBuiltinCreation=false);
ExprResult ActOnDependentIdExpression(const CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
const DeclarationNameInfo &NameInfo,
bool isAddressOfOperand,
const TemplateArgumentListInfo *TemplateArgs);
ExprResult BuildDeclRefExpr(ValueDecl *D, QualType Ty,
ExprValueKind VK,
SourceLocation Loc,
const CXXScopeSpec *SS = nullptr);
ExprResult
BuildDeclRefExpr(ValueDecl *D, QualType Ty, ExprValueKind VK,
const DeclarationNameInfo &NameInfo,
const CXXScopeSpec *SS = nullptr,
NamedDecl *FoundD = nullptr,
const TemplateArgumentListInfo *TemplateArgs = nullptr);
ExprResult
BuildAnonymousStructUnionMemberReference(
const CXXScopeSpec &SS,
SourceLocation nameLoc,
IndirectFieldDecl *indirectField,
DeclAccessPair FoundDecl = DeclAccessPair::make(nullptr, AS_none),
Expr *baseObjectExpr = nullptr,
SourceLocation opLoc = SourceLocation());
ExprResult BuildPossibleImplicitMemberExpr(const CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
LookupResult &R,
const TemplateArgumentListInfo *TemplateArgs,
const Scope *S);
ExprResult BuildImplicitMemberExpr(const CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
LookupResult &R,
const TemplateArgumentListInfo *TemplateArgs,
bool IsDefiniteInstance,
const Scope *S);
bool UseArgumentDependentLookup(const CXXScopeSpec &SS,
const LookupResult &R,
bool HasTrailingLParen);
ExprResult
BuildQualifiedDeclarationNameExpr(CXXScopeSpec &SS,
const DeclarationNameInfo &NameInfo,
bool IsAddressOfOperand, const Scope *S,
TypeSourceInfo **RecoveryTSI = nullptr);
ExprResult BuildDependentDeclRefExpr(const CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
const DeclarationNameInfo &NameInfo,
const TemplateArgumentListInfo *TemplateArgs);
ExprResult BuildDeclarationNameExpr(const CXXScopeSpec &SS,
LookupResult &R,
bool NeedsADL,
bool AcceptInvalidDecl = false);
ExprResult BuildDeclarationNameExpr(
const CXXScopeSpec &SS, const DeclarationNameInfo &NameInfo, NamedDecl *D,
NamedDecl *FoundD = nullptr,
const TemplateArgumentListInfo *TemplateArgs = nullptr,
bool AcceptInvalidDecl = false);
ExprResult BuildLiteralOperatorCall(LookupResult &R,
DeclarationNameInfo &SuffixInfo,
ArrayRef<Expr *> Args,
SourceLocation LitEndLoc,
TemplateArgumentListInfo *ExplicitTemplateArgs = nullptr);
ExprResult BuildPredefinedExpr(SourceLocation Loc,
PredefinedExpr::IdentType IT);
ExprResult ActOnPredefinedExpr(SourceLocation Loc, tok::TokenKind Kind);
ExprResult ActOnIntegerConstant(SourceLocation Loc, uint64_t Val);
bool CheckLoopHintExpr(Expr *E, SourceLocation Loc);
ExprResult ActOnNumericConstant(const Token &Tok, Scope *UDLScope = nullptr);
ExprResult ActOnCharacterConstant(const Token &Tok,
Scope *UDLScope = nullptr);
ExprResult ActOnParenExpr(SourceLocation L, SourceLocation R, Expr *E);
ExprResult ActOnParenListExpr(SourceLocation L,
SourceLocation R,
MultiExprArg Val);
/// ActOnStringLiteral - The specified tokens were lexed as pasted string
/// fragments (e.g. "foo" "bar" L"baz").
ExprResult ActOnStringLiteral(ArrayRef<Token> StringToks,
Scope *UDLScope = nullptr);
ExprResult ActOnGenericSelectionExpr(SourceLocation KeyLoc,
SourceLocation DefaultLoc,
SourceLocation RParenLoc,
Expr *ControllingExpr,
ArrayRef<ParsedType> ArgTypes,
ArrayRef<Expr *> ArgExprs);
ExprResult CreateGenericSelectionExpr(SourceLocation KeyLoc,
SourceLocation DefaultLoc,
SourceLocation RParenLoc,
Expr *ControllingExpr,
ArrayRef<TypeSourceInfo *> Types,
ArrayRef<Expr *> Exprs);
// Binary/Unary Operators. 'Tok' is the token for the operator.
ExprResult CreateBuiltinUnaryOp(SourceLocation OpLoc, UnaryOperatorKind Opc,
Expr *InputExpr);
ExprResult BuildUnaryOp(Scope *S, SourceLocation OpLoc,
UnaryOperatorKind Opc, Expr *Input);
ExprResult ActOnUnaryOp(Scope *S, SourceLocation OpLoc,
tok::TokenKind Op, Expr *Input);
QualType CheckAddressOfOperand(ExprResult &Operand, SourceLocation OpLoc);
ExprResult CreateUnaryExprOrTypeTraitExpr(TypeSourceInfo *TInfo,
SourceLocation OpLoc,
UnaryExprOrTypeTrait ExprKind,
SourceRange R);
ExprResult CreateUnaryExprOrTypeTraitExpr(Expr *E, SourceLocation OpLoc,
UnaryExprOrTypeTrait ExprKind);
ExprResult
ActOnUnaryExprOrTypeTraitExpr(SourceLocation OpLoc,
UnaryExprOrTypeTrait ExprKind,
bool IsType, void *TyOrEx,
SourceRange ArgRange);
ExprResult CheckPlaceholderExpr(Expr *E);
bool CheckVecStepExpr(Expr *E);
bool CheckUnaryExprOrTypeTraitOperand(Expr *E, UnaryExprOrTypeTrait ExprKind);
bool CheckUnaryExprOrTypeTraitOperand(QualType ExprType, SourceLocation OpLoc,
SourceRange ExprRange,
UnaryExprOrTypeTrait ExprKind);
ExprResult ActOnSizeofParameterPackExpr(Scope *S,
SourceLocation OpLoc,
IdentifierInfo &Name,
SourceLocation NameLoc,
SourceLocation RParenLoc);
ExprResult ActOnPostfixUnaryOp(Scope *S, SourceLocation OpLoc,
tok::TokenKind Kind, Expr *Input);
ExprResult ActOnArraySubscriptExpr(Scope *S, Expr *Base, SourceLocation LLoc,
Expr *Idx, SourceLocation RLoc);
ExprResult CreateBuiltinArraySubscriptExpr(Expr *Base, SourceLocation LLoc,
Expr *Idx, SourceLocation RLoc);
ExprResult ActOnOMPArraySectionExpr(Expr *Base, SourceLocation LBLoc,
Expr *LowerBound, SourceLocation ColonLoc,
Expr *Length, SourceLocation RBLoc);
// This struct is for use by ActOnMemberAccess to allow
// BuildMemberReferenceExpr to be able to reinvoke ActOnMemberAccess after
// changing the access operator from a '.' to a '->' (to see if that is the
// change needed to fix an error about an unknown member, e.g. when the class
// defines a custom operator->).
struct ActOnMemberAccessExtraArgs {
Scope *S;
UnqualifiedId &Id;
Decl *ObjCImpDecl;
};
ExprResult BuildMemberReferenceExpr(
Expr *Base, QualType BaseType, SourceLocation OpLoc, bool IsArrow,
CXXScopeSpec &SS, SourceLocation TemplateKWLoc,
NamedDecl *FirstQualifierInScope, const DeclarationNameInfo &NameInfo,
const TemplateArgumentListInfo *TemplateArgs,
const Scope *S,
ActOnMemberAccessExtraArgs *ExtraArgs = nullptr);
ExprResult
BuildMemberReferenceExpr(Expr *Base, QualType BaseType, SourceLocation OpLoc,
bool IsArrow, const CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
NamedDecl *FirstQualifierInScope, LookupResult &R,
const TemplateArgumentListInfo *TemplateArgs,
const Scope *S,
bool SuppressQualifierCheck = false,
ActOnMemberAccessExtraArgs *ExtraArgs = nullptr);
ExprResult BuildFieldReferenceExpr(Expr *BaseExpr, bool IsArrow,
SourceLocation OpLoc,
const CXXScopeSpec &SS, FieldDecl *Field,
DeclAccessPair FoundDecl,
const DeclarationNameInfo &MemberNameInfo);
ExprResult PerformMemberExprBaseConversion(Expr *Base, bool IsArrow);
bool CheckQualifiedMemberReference(Expr *BaseExpr, QualType BaseType,
const CXXScopeSpec &SS,
const LookupResult &R);
ExprResult ActOnDependentMemberExpr(Expr *Base, QualType BaseType,
bool IsArrow, SourceLocation OpLoc,
const CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
NamedDecl *FirstQualifierInScope,
const DeclarationNameInfo &NameInfo,
const TemplateArgumentListInfo *TemplateArgs);
ExprResult ActOnMemberAccessExpr(Scope *S, Expr *Base,
SourceLocation OpLoc,
tok::TokenKind OpKind,
CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
UnqualifiedId &Member,
Decl *ObjCImpDecl);
void ActOnDefaultCtorInitializers(Decl *CDtorDecl);
bool ConvertArgumentsForCall(CallExpr *Call, Expr *Fn,
FunctionDecl *FDecl,
const FunctionProtoType *Proto,
ArrayRef<Expr *> Args,
SourceLocation RParenLoc,
bool ExecConfig = false);
void CheckStaticArrayArgument(SourceLocation CallLoc,
ParmVarDecl *Param,
const Expr *ArgExpr);
/// ActOnCallExpr - Handle a call to Fn with the specified array of arguments.
/// This provides the location of the left/right parens and a list of comma
/// locations.
ExprResult ActOnCallExpr(Scope *S, Expr *Fn, SourceLocation LParenLoc,
MultiExprArg ArgExprs, SourceLocation RParenLoc,
Expr *ExecConfig = nullptr,
bool IsExecConfig = false);
ExprResult BuildResolvedCallExpr(Expr *Fn, NamedDecl *NDecl,
SourceLocation LParenLoc,
ArrayRef<Expr *> Arg,
SourceLocation RParenLoc,
Expr *Config = nullptr,
bool IsExecConfig = false);
ExprResult ActOnCUDAExecConfigExpr(Scope *S, SourceLocation LLLLoc,
MultiExprArg ExecConfig,
SourceLocation GGGLoc);
ExprResult ActOnCastExpr(Scope *S, SourceLocation LParenLoc,
Declarator &D, ParsedType &Ty,
SourceLocation RParenLoc, Expr *CastExpr);
ExprResult BuildCStyleCastExpr(SourceLocation LParenLoc,
TypeSourceInfo *Ty,
SourceLocation RParenLoc,
Expr *Op);
CastKind PrepareScalarCast(ExprResult &src, QualType destType);
/// \brief Build an altivec or OpenCL literal.
ExprResult BuildVectorLiteral(SourceLocation LParenLoc,
SourceLocation RParenLoc, Expr *E,
TypeSourceInfo *TInfo);
ExprResult MaybeConvertParenListExprToParenExpr(Scope *S, Expr *ME);
ExprResult ActOnCompoundLiteral(SourceLocation LParenLoc,
ParsedType Ty,
SourceLocation RParenLoc,
Expr *InitExpr);
ExprResult BuildCompoundLiteralExpr(SourceLocation LParenLoc,
TypeSourceInfo *TInfo,
SourceLocation RParenLoc,
Expr *LiteralExpr);
ExprResult ActOnInitList(SourceLocation LBraceLoc,
MultiExprArg InitArgList,
SourceLocation RBraceLoc);
ExprResult ActOnDesignatedInitializer(Designation &Desig,
SourceLocation Loc,
bool GNUSyntax,
ExprResult Init);
private:
static BinaryOperatorKind ConvertTokenKindToBinaryOpcode(tok::TokenKind Kind);
public:
ExprResult ActOnBinOp(Scope *S, SourceLocation TokLoc,
tok::TokenKind Kind, Expr *LHSExpr, Expr *RHSExpr);
ExprResult BuildBinOp(Scope *S, SourceLocation OpLoc,
BinaryOperatorKind Opc, Expr *LHSExpr, Expr *RHSExpr);
ExprResult CreateBuiltinBinOp(SourceLocation OpLoc, BinaryOperatorKind Opc,
Expr *LHSExpr, Expr *RHSExpr);
void DiagnoseCommaOperator(const Expr *LHS, SourceLocation Loc);
/// ActOnConditionalOp - Parse a ?: operation. Note that 'LHS' may be null
/// in the case of a the GNU conditional expr extension.
ExprResult ActOnConditionalOp(SourceLocation QuestionLoc,
SourceLocation ColonLoc,
Expr *CondExpr, Expr *LHSExpr, Expr *RHSExpr);
/// ActOnAddrLabel - Parse the GNU address of label extension: "&&foo".
ExprResult ActOnAddrLabel(SourceLocation OpLoc, SourceLocation LabLoc,
LabelDecl *TheDecl);
void ActOnStartStmtExpr();
ExprResult ActOnStmtExpr(SourceLocation LPLoc, Stmt *SubStmt,
SourceLocation RPLoc); // "({..})"
void ActOnStmtExprError();
// __builtin_offsetof(type, identifier(.identifier|[expr])*)
struct OffsetOfComponent {
SourceLocation LocStart, LocEnd;
bool isBrackets; // true if [expr], false if .ident
union {
IdentifierInfo *IdentInfo;
Expr *E;
} U;
};
/// __builtin_offsetof(type, a.b[123][456].c)
ExprResult BuildBuiltinOffsetOf(SourceLocation BuiltinLoc,
TypeSourceInfo *TInfo,
ArrayRef<OffsetOfComponent> Components,
SourceLocation RParenLoc);
ExprResult ActOnBuiltinOffsetOf(Scope *S,
SourceLocation BuiltinLoc,
SourceLocation TypeLoc,
ParsedType ParsedArgTy,
ArrayRef<OffsetOfComponent> Components,
SourceLocation RParenLoc);
// __builtin_choose_expr(constExpr, expr1, expr2)
ExprResult ActOnChooseExpr(SourceLocation BuiltinLoc,
Expr *CondExpr, Expr *LHSExpr,
Expr *RHSExpr, SourceLocation RPLoc);
// __builtin_va_arg(expr, type)
ExprResult ActOnVAArg(SourceLocation BuiltinLoc, Expr *E, ParsedType Ty,
SourceLocation RPLoc);
ExprResult BuildVAArgExpr(SourceLocation BuiltinLoc, Expr *E,
TypeSourceInfo *TInfo, SourceLocation RPLoc);
// __null
ExprResult ActOnGNUNullExpr(SourceLocation TokenLoc);
bool CheckCaseExpression(Expr *E);
/// \brief Describes the result of an "if-exists" condition check.
enum IfExistsResult {
/// \brief The symbol exists.
IER_Exists,
/// \brief The symbol does not exist.
IER_DoesNotExist,
/// \brief The name is a dependent name, so the results will differ
/// from one instantiation to the next.
IER_Dependent,
/// \brief An error occurred.
IER_Error
};
IfExistsResult
CheckMicrosoftIfExistsSymbol(Scope *S, CXXScopeSpec &SS,
const DeclarationNameInfo &TargetNameInfo);
IfExistsResult
CheckMicrosoftIfExistsSymbol(Scope *S, SourceLocation KeywordLoc,
bool IsIfExists, CXXScopeSpec &SS,
UnqualifiedId &Name);
StmtResult BuildMSDependentExistsStmt(SourceLocation KeywordLoc,
bool IsIfExists,
NestedNameSpecifierLoc QualifierLoc,
DeclarationNameInfo NameInfo,
Stmt *Nested);
StmtResult ActOnMSDependentExistsStmt(SourceLocation KeywordLoc,
bool IsIfExists,
CXXScopeSpec &SS, UnqualifiedId &Name,
Stmt *Nested);
//===------------------------- "Block" Extension ------------------------===//
/// ActOnBlockStart - This callback is invoked when a block literal is
/// started.
void ActOnBlockStart(SourceLocation CaretLoc, Scope *CurScope);
/// ActOnBlockArguments - This callback allows processing of block arguments.
/// If there are no arguments, this is still invoked.
void ActOnBlockArguments(SourceLocation CaretLoc, Declarator &ParamInfo,
Scope *CurScope);
/// ActOnBlockError - If there is an error parsing a block, this callback
/// is invoked to pop the information about the block from the action impl.
void ActOnBlockError(SourceLocation CaretLoc, Scope *CurScope);
/// ActOnBlockStmtExpr - This is called when the body of a block statement
/// literal was successfully completed. ^(int x){...}
ExprResult ActOnBlockStmtExpr(SourceLocation CaretLoc, Stmt *Body,
Scope *CurScope);
//===---------------------------- Clang Extensions ----------------------===//
/// __builtin_convertvector(...)
ExprResult ActOnConvertVectorExpr(Expr *E, ParsedType ParsedDestTy,
SourceLocation BuiltinLoc,
SourceLocation RParenLoc);
//===---------------------------- OpenCL Features -----------------------===//
/// __builtin_astype(...)
ExprResult ActOnAsTypeExpr(Expr *E, ParsedType ParsedDestTy,
SourceLocation BuiltinLoc,
SourceLocation RParenLoc);
//===---------------------------- C++ Features --------------------------===//
// Act on C++ namespaces
Decl *ActOnStartNamespaceDef(Scope *S, SourceLocation InlineLoc,
SourceLocation NamespaceLoc,
SourceLocation IdentLoc,
IdentifierInfo *Ident,
SourceLocation LBrace,
AttributeList *AttrList,
UsingDirectiveDecl * &UsingDecl);
void ActOnFinishNamespaceDef(Decl *Dcl, SourceLocation RBrace);
NamespaceDecl *getStdNamespace() const;
NamespaceDecl *getOrCreateStdNamespace();
NamespaceDecl *lookupStdExperimentalNamespace();
CXXRecordDecl *getStdBadAlloc() const;
EnumDecl *getStdAlignValT() const;
/// \brief Tests whether Ty is an instance of std::initializer_list and, if
/// it is and Element is not NULL, assigns the element type to Element.
bool isStdInitializerList(QualType Ty, QualType *Element);
/// \brief Looks for the std::initializer_list template and instantiates it
/// with Element, or emits an error if it's not found.
///
/// \returns The instantiated template, or null on error.
QualType BuildStdInitializerList(QualType Element, SourceLocation Loc);
/// \brief Determine whether Ctor is an initializer-list constructor, as
/// defined in [dcl.init.list]p2.
bool isInitListConstructor(const CXXConstructorDecl *Ctor);
Decl *ActOnUsingDirective(Scope *CurScope,
SourceLocation UsingLoc,
SourceLocation NamespcLoc,
CXXScopeSpec &SS,
SourceLocation IdentLoc,
IdentifierInfo *NamespcName,
AttributeList *AttrList);
void PushUsingDirective(Scope *S, UsingDirectiveDecl *UDir);
Decl *ActOnNamespaceAliasDef(Scope *CurScope,
SourceLocation NamespaceLoc,
SourceLocation AliasLoc,
IdentifierInfo *Alias,
CXXScopeSpec &SS,
SourceLocation IdentLoc,
IdentifierInfo *Ident);
void HideUsingShadowDecl(Scope *S, UsingShadowDecl *Shadow);
bool CheckUsingShadowDecl(UsingDecl *UD, NamedDecl *Target,
const LookupResult &PreviousDecls,
UsingShadowDecl *&PrevShadow);
UsingShadowDecl *BuildUsingShadowDecl(Scope *S, UsingDecl *UD,
NamedDecl *Target,
UsingShadowDecl *PrevDecl);
bool CheckUsingDeclRedeclaration(SourceLocation UsingLoc,
bool HasTypenameKeyword,
const CXXScopeSpec &SS,
SourceLocation NameLoc,
const LookupResult &Previous);
bool CheckUsingDeclQualifier(SourceLocation UsingLoc,
bool HasTypename,
const CXXScopeSpec &SS,
const DeclarationNameInfo &NameInfo,
SourceLocation NameLoc);
NamedDecl *BuildUsingDeclaration(Scope *S, AccessSpecifier AS,
SourceLocation UsingLoc,
bool HasTypenameKeyword,
SourceLocation TypenameLoc,
CXXScopeSpec &SS,
DeclarationNameInfo NameInfo,
SourceLocation EllipsisLoc,
AttributeList *AttrList,
bool IsInstantiation);
NamedDecl *BuildUsingPackDecl(NamedDecl *InstantiatedFrom,
ArrayRef<NamedDecl *> Expansions);
bool CheckInheritingConstructorUsingDecl(UsingDecl *UD);
/// Given a derived-class using shadow declaration for a constructor and the
/// correspnding base class constructor, find or create the implicit
/// synthesized derived class constructor to use for this initialization.
CXXConstructorDecl *
findInheritingConstructor(SourceLocation Loc, CXXConstructorDecl *BaseCtor,
ConstructorUsingShadowDecl *DerivedShadow);
Decl *ActOnUsingDeclaration(Scope *CurScope,
AccessSpecifier AS,
SourceLocation UsingLoc,
SourceLocation TypenameLoc,
CXXScopeSpec &SS,
UnqualifiedId &Name,
SourceLocation EllipsisLoc,
AttributeList *AttrList);
Decl *ActOnAliasDeclaration(Scope *CurScope,
AccessSpecifier AS,
MultiTemplateParamsArg TemplateParams,
SourceLocation UsingLoc,
UnqualifiedId &Name,
AttributeList *AttrList,
TypeResult Type,
Decl *DeclFromDeclSpec);
/// BuildCXXConstructExpr - Creates a complete call to a constructor,
/// including handling of its default argument expressions.
///
/// \param ConstructKind - a CXXConstructExpr::ConstructionKind
ExprResult
BuildCXXConstructExpr(SourceLocation ConstructLoc, QualType DeclInitType,
NamedDecl *FoundDecl,
CXXConstructorDecl *Constructor, MultiExprArg Exprs,
bool HadMultipleCandidates, bool IsListInitialization,
bool IsStdInitListInitialization,
bool RequiresZeroInit, unsigned ConstructKind,
SourceRange ParenRange);
/// Build a CXXConstructExpr whose constructor has already been resolved if
/// it denotes an inherited constructor.
ExprResult
BuildCXXConstructExpr(SourceLocation ConstructLoc, QualType DeclInitType,
CXXConstructorDecl *Constructor, bool Elidable,
MultiExprArg Exprs,
bool HadMultipleCandidates, bool IsListInitialization,
bool IsStdInitListInitialization,
bool RequiresZeroInit, unsigned ConstructKind,
SourceRange ParenRange);
// FIXME: Can we remove this and have the above BuildCXXConstructExpr check if
// the constructor can be elidable?
ExprResult
BuildCXXConstructExpr(SourceLocation ConstructLoc, QualType DeclInitType,
NamedDecl *FoundDecl,
CXXConstructorDecl *Constructor, bool Elidable,
MultiExprArg Exprs, bool HadMultipleCandidates,
bool IsListInitialization,
bool IsStdInitListInitialization, bool RequiresZeroInit,
unsigned ConstructKind, SourceRange ParenRange);
ExprResult BuildCXXDefaultInitExpr(SourceLocation Loc, FieldDecl *Field);
/// Instantiate or parse a C++ default argument expression as necessary.
/// Return true on error.
bool CheckCXXDefaultArgExpr(SourceLocation CallLoc, FunctionDecl *FD,
ParmVarDecl *Param);
/// BuildCXXDefaultArgExpr - Creates a CXXDefaultArgExpr, instantiating
/// the default expr if needed.
ExprResult BuildCXXDefaultArgExpr(SourceLocation CallLoc,
FunctionDecl *FD,
ParmVarDecl *Param);
/// FinalizeVarWithDestructor - Prepare for calling destructor on the
/// constructed variable.
void FinalizeVarWithDestructor(VarDecl *VD, const RecordType *DeclInitType);
/// \brief Helper class that collects exception specifications for
/// implicitly-declared special member functions.
class ImplicitExceptionSpecification {
// Pointer to allow copying
Sema *Self;
// We order exception specifications thus:
// noexcept is the most restrictive, but is only used in C++11.
// throw() comes next.
// Then a throw(collected exceptions)
// Finally no specification, which is expressed as noexcept(false).
// throw(...) is used instead if any called function uses it.
ExceptionSpecificationType ComputedEST;
llvm::SmallPtrSet<CanQualType, 4> ExceptionsSeen;
SmallVector<QualType, 4> Exceptions;
void ClearExceptions() {
ExceptionsSeen.clear();
Exceptions.clear();
}
public:
explicit ImplicitExceptionSpecification(Sema &Self)
: Self(&Self), ComputedEST(EST_BasicNoexcept) {
if (!Self.getLangOpts().CPlusPlus11)
ComputedEST = EST_DynamicNone;
}
/// \brief Get the computed exception specification type.
ExceptionSpecificationType getExceptionSpecType() const {
assert(ComputedEST != EST_ComputedNoexcept &&
"noexcept(expr) should not be a possible result");
return ComputedEST;
}
/// \brief The number of exceptions in the exception specification.
unsigned size() const { return Exceptions.size(); }
/// \brief The set of exceptions in the exception specification.
const QualType *data() const { return Exceptions.data(); }
/// \brief Integrate another called method into the collected data.
void CalledDecl(SourceLocation CallLoc, const CXXMethodDecl *Method);
/// \brief Integrate an invoked expression into the collected data.
void CalledExpr(Expr *E);
/// \brief Overwrite an EPI's exception specification with this
/// computed exception specification.
FunctionProtoType::ExceptionSpecInfo getExceptionSpec() const {
FunctionProtoType::ExceptionSpecInfo ESI;
ESI.Type = getExceptionSpecType();
if (ESI.Type == EST_Dynamic) {
ESI.Exceptions = Exceptions;
} else if (ESI.Type == EST_None) {
/// C++11 [except.spec]p14:
/// The exception-specification is noexcept(false) if the set of
/// potential exceptions of the special member function contains "any"
ESI.Type = EST_ComputedNoexcept;
ESI.NoexceptExpr = Self->ActOnCXXBoolLiteral(SourceLocation(),
tok::kw_false).get();
}
return ESI;
}
};
/// \brief Determine what sort of exception specification a defaulted
/// copy constructor of a class will have.
ImplicitExceptionSpecification
ComputeDefaultedDefaultCtorExceptionSpec(SourceLocation Loc,
CXXMethodDecl *MD);
/// \brief Determine what sort of exception specification a defaulted
/// default constructor of a class will have, and whether the parameter
/// will be const.
ImplicitExceptionSpecification
ComputeDefaultedCopyCtorExceptionSpec(CXXMethodDecl *MD);
/// \brief Determine what sort of exception specification a defautled
/// copy assignment operator of a class will have, and whether the
/// parameter will be const.
ImplicitExceptionSpecification
ComputeDefaultedCopyAssignmentExceptionSpec(CXXMethodDecl *MD);
/// \brief Determine what sort of exception specification a defaulted move
/// constructor of a class will have.
ImplicitExceptionSpecification
ComputeDefaultedMoveCtorExceptionSpec(CXXMethodDecl *MD);
/// \brief Determine what sort of exception specification a defaulted move
/// assignment operator of a class will have.
ImplicitExceptionSpecification
ComputeDefaultedMoveAssignmentExceptionSpec(CXXMethodDecl *MD);
/// \brief Determine what sort of exception specification a defaulted
/// destructor of a class will have.
ImplicitExceptionSpecification
ComputeDefaultedDtorExceptionSpec(CXXMethodDecl *MD);
/// \brief Determine what sort of exception specification an inheriting
/// constructor of a class will have.
ImplicitExceptionSpecification
ComputeInheritingCtorExceptionSpec(SourceLocation Loc,
CXXConstructorDecl *CD);
/// \brief Evaluate the implicit exception specification for a defaulted
/// special member function.
void EvaluateImplicitExceptionSpec(SourceLocation Loc, CXXMethodDecl *MD);
/// \brief Check the given exception-specification and update the
/// exception specification information with the results.
void checkExceptionSpecification(bool IsTopLevel,
ExceptionSpecificationType EST,
ArrayRef<ParsedType> DynamicExceptions,
ArrayRef<SourceRange> DynamicExceptionRanges,
Expr *NoexceptExpr,
SmallVectorImpl<QualType> &Exceptions,
FunctionProtoType::ExceptionSpecInfo &ESI);
/// \brief Determine if we're in a case where we need to (incorrectly) eagerly
/// parse an exception specification to work around a libstdc++ bug.
bool isLibstdcxxEagerExceptionSpecHack(const Declarator &D);
/// \brief Add an exception-specification to the given member function
/// (or member function template). The exception-specification was parsed
/// after the method itself was declared.
void actOnDelayedExceptionSpecification(Decl *Method,
ExceptionSpecificationType EST,
SourceRange SpecificationRange,
ArrayRef<ParsedType> DynamicExceptions,
ArrayRef<SourceRange> DynamicExceptionRanges,
Expr *NoexceptExpr);
class InheritedConstructorInfo;
/// \brief Determine if a special member function should have a deleted
/// definition when it is defaulted.
bool ShouldDeleteSpecialMember(CXXMethodDecl *MD, CXXSpecialMember CSM,
InheritedConstructorInfo *ICI = nullptr,
bool Diagnose = false);
/// \brief Declare the implicit default constructor for the given class.
///
/// \param ClassDecl The class declaration into which the implicit
/// default constructor will be added.
///
/// \returns The implicitly-declared default constructor.
CXXConstructorDecl *DeclareImplicitDefaultConstructor(
CXXRecordDecl *ClassDecl);
/// DefineImplicitDefaultConstructor - Checks for feasibility of
/// defining this constructor as the default constructor.
void DefineImplicitDefaultConstructor(SourceLocation CurrentLocation,
CXXConstructorDecl *Constructor);
/// \brief Declare the implicit destructor for the given class.
///
/// \param ClassDecl The class declaration into which the implicit
/// destructor will be added.
///
/// \returns The implicitly-declared destructor.
CXXDestructorDecl *DeclareImplicitDestructor(CXXRecordDecl *ClassDecl);
/// DefineImplicitDestructor - Checks for feasibility of
/// defining this destructor as the default destructor.
void DefineImplicitDestructor(SourceLocation CurrentLocation,
CXXDestructorDecl *Destructor);
/// \brief Build an exception spec for destructors that don't have one.
///
/// C++11 says that user-defined destructors with no exception spec get one
/// that looks as if the destructor was implicitly declared.
void AdjustDestructorExceptionSpec(CXXRecordDecl *ClassDecl,
CXXDestructorDecl *Destructor);
/// \brief Define the specified inheriting constructor.
void DefineInheritingConstructor(SourceLocation UseLoc,
CXXConstructorDecl *Constructor);
/// \brief Declare the implicit copy constructor for the given class.
///
/// \param ClassDecl The class declaration into which the implicit
/// copy constructor will be added.
///
/// \returns The implicitly-declared copy constructor.
CXXConstructorDecl *DeclareImplicitCopyConstructor(CXXRecordDecl *ClassDecl);
/// DefineImplicitCopyConstructor - Checks for feasibility of
/// defining this constructor as the copy constructor.
void DefineImplicitCopyConstructor(SourceLocation CurrentLocation,
CXXConstructorDecl *Constructor);
/// \brief Declare the implicit move constructor for the given class.
///
/// \param ClassDecl The Class declaration into which the implicit
/// move constructor will be added.
///
/// \returns The implicitly-declared move constructor, or NULL if it wasn't
/// declared.
CXXConstructorDecl *DeclareImplicitMoveConstructor(CXXRecordDecl *ClassDecl);
/// DefineImplicitMoveConstructor - Checks for feasibility of
/// defining this constructor as the move constructor.
void DefineImplicitMoveConstructor(SourceLocation CurrentLocation,
CXXConstructorDecl *Constructor);
/// \brief Declare the implicit copy assignment operator for the given class.
///
/// \param ClassDecl The class declaration into which the implicit
/// copy assignment operator will be added.
///
/// \returns The implicitly-declared copy assignment operator.
CXXMethodDecl *DeclareImplicitCopyAssignment(CXXRecordDecl *ClassDecl);
/// \brief Defines an implicitly-declared copy assignment operator.
void DefineImplicitCopyAssignment(SourceLocation CurrentLocation,
CXXMethodDecl *MethodDecl);
/// \brief Declare the implicit move assignment operator for the given class.
///
/// \param ClassDecl The Class declaration into which the implicit
/// move assignment operator will be added.
///
/// \returns The implicitly-declared move assignment operator, or NULL if it
/// wasn't declared.
CXXMethodDecl *DeclareImplicitMoveAssignment(CXXRecordDecl *ClassDecl);
/// \brief Defines an implicitly-declared move assignment operator.
void DefineImplicitMoveAssignment(SourceLocation CurrentLocation,
CXXMethodDecl *MethodDecl);
/// \brief Force the declaration of any implicitly-declared members of this
/// class.
void ForceDeclarationOfImplicitMembers(CXXRecordDecl *Class);
/// \brief Check a completed declaration of an implicit special member.
void CheckImplicitSpecialMemberDeclaration(Scope *S, FunctionDecl *FD);
/// \brief Determine whether the given function is an implicitly-deleted
/// special member function.
bool isImplicitlyDeleted(FunctionDecl *FD);
/// \brief Check whether 'this' shows up in the type of a static member
/// function after the (naturally empty) cv-qualifier-seq would be.
///
/// \returns true if an error occurred.
bool checkThisInStaticMemberFunctionType(CXXMethodDecl *Method);
/// \brief Whether this' shows up in the exception specification of a static
/// member function.
bool checkThisInStaticMemberFunctionExceptionSpec(CXXMethodDecl *Method);
/// \brief Check whether 'this' shows up in the attributes of the given
/// static member function.
///
/// \returns true if an error occurred.
bool checkThisInStaticMemberFunctionAttributes(CXXMethodDecl *Method);
/// MaybeBindToTemporary - If the passed in expression has a record type with
/// a non-trivial destructor, this will return CXXBindTemporaryExpr. Otherwise
/// it simply returns the passed in expression.
ExprResult MaybeBindToTemporary(Expr *E);
bool CompleteConstructorCall(CXXConstructorDecl *Constructor,
MultiExprArg ArgsPtr,
SourceLocation Loc,
SmallVectorImpl<Expr*> &ConvertedArgs,
bool AllowExplicit = false,
bool IsListInitialization = false);
ParsedType getInheritingConstructorName(CXXScopeSpec &SS,
SourceLocation NameLoc,
IdentifierInfo &Name);
ParsedType getDestructorName(SourceLocation TildeLoc,
IdentifierInfo &II, SourceLocation NameLoc,
Scope *S, CXXScopeSpec &SS,
ParsedType ObjectType,
bool EnteringContext);
ParsedType getDestructorType(const DeclSpec& DS, ParsedType ObjectType);
// Checks that reinterpret casts don't have undefined behavior.
void CheckCompatibleReinterpretCast(QualType SrcType, QualType DestType,
bool IsDereference, SourceRange Range);
/// ActOnCXXNamedCast - Parse {dynamic,static,reinterpret,const}_cast's.
ExprResult ActOnCXXNamedCast(SourceLocation OpLoc,
tok::TokenKind Kind,
SourceLocation LAngleBracketLoc,
Declarator &D,
SourceLocation RAngleBracketLoc,
SourceLocation LParenLoc,
Expr *E,
SourceLocation RParenLoc);
ExprResult BuildCXXNamedCast(SourceLocation OpLoc,
tok::TokenKind Kind,
TypeSourceInfo *Ty,
Expr *E,
SourceRange AngleBrackets,
SourceRange Parens);
ExprResult BuildCXXTypeId(QualType TypeInfoType,
SourceLocation TypeidLoc,
TypeSourceInfo *Operand,
SourceLocation RParenLoc);
ExprResult BuildCXXTypeId(QualType TypeInfoType,
SourceLocation TypeidLoc,
Expr *Operand,
SourceLocation RParenLoc);
/// ActOnCXXTypeid - Parse typeid( something ).
ExprResult ActOnCXXTypeid(SourceLocation OpLoc,
SourceLocation LParenLoc, bool isType,
void *TyOrExpr,
SourceLocation RParenLoc);
ExprResult BuildCXXUuidof(QualType TypeInfoType,
SourceLocation TypeidLoc,
TypeSourceInfo *Operand,
SourceLocation RParenLoc);
ExprResult BuildCXXUuidof(QualType TypeInfoType,
SourceLocation TypeidLoc,
Expr *Operand,
SourceLocation RParenLoc);
/// ActOnCXXUuidof - Parse __uuidof( something ).
ExprResult ActOnCXXUuidof(SourceLocation OpLoc,
SourceLocation LParenLoc, bool isType,
void *TyOrExpr,
SourceLocation RParenLoc);
/// \brief Handle a C++1z fold-expression: ( expr op ... op expr ).
ExprResult ActOnCXXFoldExpr(SourceLocation LParenLoc, Expr *LHS,
tok::TokenKind Operator,
SourceLocation EllipsisLoc, Expr *RHS,
SourceLocation RParenLoc);
ExprResult BuildCXXFoldExpr(SourceLocation LParenLoc, Expr *LHS,
BinaryOperatorKind Operator,
SourceLocation EllipsisLoc, Expr *RHS,
SourceLocation RParenLoc);
ExprResult BuildEmptyCXXFoldExpr(SourceLocation EllipsisLoc,
BinaryOperatorKind Operator);
//// ActOnCXXThis - Parse 'this' pointer.
ExprResult ActOnCXXThis(SourceLocation loc);
/// \brief Try to retrieve the type of the 'this' pointer.
///
/// \returns The type of 'this', if possible. Otherwise, returns a NULL type.
QualType getCurrentThisType();
/// \brief When non-NULL, the C++ 'this' expression is allowed despite the
/// current context not being a non-static member function. In such cases,
/// this provides the type used for 'this'.
QualType CXXThisTypeOverride;
/// \brief RAII object used to temporarily allow the C++ 'this' expression
/// to be used, with the given qualifiers on the current class type.
class CXXThisScopeRAII {
Sema &S;
QualType OldCXXThisTypeOverride;
bool Enabled;
public:
/// \brief Introduce a new scope where 'this' may be allowed (when enabled),
/// using the given declaration (which is either a class template or a
/// class) along with the given qualifiers.
/// along with the qualifiers placed on '*this'.
CXXThisScopeRAII(Sema &S, Decl *ContextDecl, unsigned CXXThisTypeQuals,
bool Enabled = true);
~CXXThisScopeRAII();
};
/// \brief Make sure the value of 'this' is actually available in the current
/// context, if it is a potentially evaluated context.
///
/// \param Loc The location at which the capture of 'this' occurs.
///
/// \param Explicit Whether 'this' is explicitly captured in a lambda
/// capture list.
///
/// \param FunctionScopeIndexToStopAt If non-null, it points to the index
/// of the FunctionScopeInfo stack beyond which we do not attempt to capture.
/// This is useful when enclosing lambdas must speculatively capture
/// 'this' that may or may not be used in certain specializations of
/// a nested generic lambda (depending on whether the name resolves to
/// a non-static member function or a static function).
/// \return returns 'true' if failed, 'false' if success.
bool CheckCXXThisCapture(SourceLocation Loc, bool Explicit = false,
bool BuildAndDiagnose = true,
const unsigned *const FunctionScopeIndexToStopAt = nullptr,
bool ByCopy = false);
/// \brief Determine whether the given type is the type of *this that is used
/// outside of the body of a member function for a type that is currently
/// being defined.
bool isThisOutsideMemberFunctionBody(QualType BaseType);
/// ActOnCXXBoolLiteral - Parse {true,false} literals.
ExprResult ActOnCXXBoolLiteral(SourceLocation OpLoc, tok::TokenKind Kind);
/// ActOnObjCBoolLiteral - Parse {__objc_yes,__objc_no} literals.
ExprResult ActOnObjCBoolLiteral(SourceLocation OpLoc, tok::TokenKind Kind);
ExprResult
ActOnObjCAvailabilityCheckExpr(llvm::ArrayRef<AvailabilitySpec> AvailSpecs,
SourceLocation AtLoc, SourceLocation RParen);
/// ActOnCXXNullPtrLiteral - Parse 'nullptr'.
ExprResult ActOnCXXNullPtrLiteral(SourceLocation Loc);
//// ActOnCXXThrow - Parse throw expressions.
ExprResult ActOnCXXThrow(Scope *S, SourceLocation OpLoc, Expr *expr);
ExprResult BuildCXXThrow(SourceLocation OpLoc, Expr *Ex,
bool IsThrownVarInScope);
bool CheckCXXThrowOperand(SourceLocation ThrowLoc, QualType ThrowTy, Expr *E);
/// ActOnCXXTypeConstructExpr - Parse construction of a specified type.
/// Can be interpreted either as function-style casting ("int(x)")
/// or class type construction ("ClassType(x,y,z)")
/// or creation of a value-initialized type ("int()").
ExprResult ActOnCXXTypeConstructExpr(ParsedType TypeRep,
SourceLocation LParenLoc,
MultiExprArg Exprs,
SourceLocation RParenLoc);
ExprResult BuildCXXTypeConstructExpr(TypeSourceInfo *Type,
SourceLocation LParenLoc,
MultiExprArg Exprs,
SourceLocation RParenLoc);
/// ActOnCXXNew - Parsed a C++ 'new' expression.
ExprResult ActOnCXXNew(SourceLocation StartLoc, bool UseGlobal,
SourceLocation PlacementLParen,
MultiExprArg PlacementArgs,
SourceLocation PlacementRParen,
SourceRange TypeIdParens, Declarator &D,
Expr *Initializer);
ExprResult BuildCXXNew(SourceRange Range, bool UseGlobal,
SourceLocation PlacementLParen,
MultiExprArg PlacementArgs,
SourceLocation PlacementRParen,
SourceRange TypeIdParens,
QualType AllocType,
TypeSourceInfo *AllocTypeInfo,
Expr *ArraySize,
SourceRange DirectInitRange,
Expr *Initializer);
bool CheckAllocatedType(QualType AllocType, SourceLocation Loc,
SourceRange R);
bool FindAllocationFunctions(SourceLocation StartLoc, SourceRange Range,
bool UseGlobal, QualType AllocType, bool IsArray,
bool &PassAlignment, MultiExprArg PlaceArgs,
FunctionDecl *&OperatorNew,
FunctionDecl *&OperatorDelete);
void DeclareGlobalNewDelete();
void DeclareGlobalAllocationFunction(DeclarationName Name, QualType Return,
ArrayRef<QualType> Params);
bool FindDeallocationFunction(SourceLocation StartLoc, CXXRecordDecl *RD,
DeclarationName Name, FunctionDecl* &Operator,
bool Diagnose = true);
FunctionDecl *FindUsualDeallocationFunction(SourceLocation StartLoc,
bool CanProvideSize,
bool Overaligned,
DeclarationName Name);
FunctionDecl *FindDeallocationFunctionForDestructor(SourceLocation StartLoc,
CXXRecordDecl *RD);
/// ActOnCXXDelete - Parsed a C++ 'delete' expression
ExprResult ActOnCXXDelete(SourceLocation StartLoc,
bool UseGlobal, bool ArrayForm,
Expr *Operand);
void CheckVirtualDtorCall(CXXDestructorDecl *dtor, SourceLocation Loc,
bool IsDelete, bool CallCanBeVirtual,
bool WarnOnNonAbstractTypes,
SourceLocation DtorLoc);
ExprResult ActOnNoexceptExpr(SourceLocation KeyLoc, SourceLocation LParen,
Expr *Operand, SourceLocation RParen);
ExprResult BuildCXXNoexceptExpr(SourceLocation KeyLoc, Expr *Operand,
SourceLocation RParen);
/// \brief Parsed one of the type trait support pseudo-functions.
ExprResult ActOnTypeTrait(TypeTrait Kind, SourceLocation KWLoc,
ArrayRef<ParsedType> Args,
SourceLocation RParenLoc);
ExprResult BuildTypeTrait(TypeTrait Kind, SourceLocation KWLoc,
ArrayRef<TypeSourceInfo *> Args,
SourceLocation RParenLoc);
/// ActOnArrayTypeTrait - Parsed one of the bianry type trait support
/// pseudo-functions.
ExprResult ActOnArrayTypeTrait(ArrayTypeTrait ATT,
SourceLocation KWLoc,
ParsedType LhsTy,
Expr *DimExpr,
SourceLocation RParen);
ExprResult BuildArrayTypeTrait(ArrayTypeTrait ATT,
SourceLocation KWLoc,
TypeSourceInfo *TSInfo,
Expr *DimExpr,
SourceLocation RParen);
/// ActOnExpressionTrait - Parsed one of the unary type trait support
/// pseudo-functions.
ExprResult ActOnExpressionTrait(ExpressionTrait OET,
SourceLocation KWLoc,
Expr *Queried,
SourceLocation RParen);
ExprResult BuildExpressionTrait(ExpressionTrait OET,
SourceLocation KWLoc,
Expr *Queried,
SourceLocation RParen);
ExprResult ActOnStartCXXMemberReference(Scope *S,
Expr *Base,
SourceLocation OpLoc,
tok::TokenKind OpKind,
ParsedType &ObjectType,
bool &MayBePseudoDestructor);
ExprResult BuildPseudoDestructorExpr(Expr *Base,
SourceLocation OpLoc,
tok::TokenKind OpKind,
const CXXScopeSpec &SS,
TypeSourceInfo *ScopeType,
SourceLocation CCLoc,
SourceLocation TildeLoc,
PseudoDestructorTypeStorage DestroyedType);
ExprResult ActOnPseudoDestructorExpr(Scope *S, Expr *Base,
SourceLocation OpLoc,
tok::TokenKind OpKind,
CXXScopeSpec &SS,
UnqualifiedId &FirstTypeName,
SourceLocation CCLoc,
SourceLocation TildeLoc,
UnqualifiedId &SecondTypeName);
ExprResult ActOnPseudoDestructorExpr(Scope *S, Expr *Base,
SourceLocation OpLoc,
tok::TokenKind OpKind,
SourceLocation TildeLoc,
const DeclSpec& DS);
/// MaybeCreateExprWithCleanups - If the current full-expression
/// requires any cleanups, surround it with a ExprWithCleanups node.
/// Otherwise, just returns the passed-in expression.
Expr *MaybeCreateExprWithCleanups(Expr *SubExpr);
Stmt *MaybeCreateStmtWithCleanups(Stmt *SubStmt);
ExprResult MaybeCreateExprWithCleanups(ExprResult SubExpr);
MaterializeTemporaryExpr *
CreateMaterializeTemporaryExpr(QualType T, Expr *Temporary,
bool BoundToLvalueReference);
ExprResult ActOnFinishFullExpr(Expr *Expr) {
return ActOnFinishFullExpr(Expr, Expr ? Expr->getExprLoc()
: SourceLocation());
}
ExprResult ActOnFinishFullExpr(Expr *Expr, SourceLocation CC,
bool DiscardedValue = false,
bool IsConstexpr = false,
bool IsLambdaInitCaptureInitializer = false);
StmtResult ActOnFinishFullStmt(Stmt *Stmt);
// Marks SS invalid if it represents an incomplete type.
bool RequireCompleteDeclContext(CXXScopeSpec &SS, DeclContext *DC);
DeclContext *computeDeclContext(QualType T);
DeclContext *computeDeclContext(const CXXScopeSpec &SS,
bool EnteringContext = false);
bool isDependentScopeSpecifier(const CXXScopeSpec &SS);
CXXRecordDecl *getCurrentInstantiationOf(NestedNameSpecifier *NNS);
/// \brief The parser has parsed a global nested-name-specifier '::'.
///
/// \param CCLoc The location of the '::'.
///
/// \param SS The nested-name-specifier, which will be updated in-place
/// to reflect the parsed nested-name-specifier.
///
/// \returns true if an error occurred, false otherwise.
bool ActOnCXXGlobalScopeSpecifier(SourceLocation CCLoc, CXXScopeSpec &SS);
/// \brief The parser has parsed a '__super' nested-name-specifier.
///
/// \param SuperLoc The location of the '__super' keyword.
///
/// \param ColonColonLoc The location of the '::'.
///
/// \param SS The nested-name-specifier, which will be updated in-place
/// to reflect the parsed nested-name-specifier.
///
/// \returns true if an error occurred, false otherwise.
bool ActOnSuperScopeSpecifier(SourceLocation SuperLoc,
SourceLocation ColonColonLoc, CXXScopeSpec &SS);
bool isAcceptableNestedNameSpecifier(const NamedDecl *SD,
bool *CanCorrect = nullptr);
NamedDecl *FindFirstQualifierInScope(Scope *S, NestedNameSpecifier *NNS);
/// \brief Keeps information about an identifier in a nested-name-spec.
///
struct NestedNameSpecInfo {
/// \brief The type of the object, if we're parsing nested-name-specifier in
/// a member access expression.
ParsedType ObjectType;
/// \brief The identifier preceding the '::'.
IdentifierInfo *Identifier;
/// \brief The location of the identifier.
SourceLocation IdentifierLoc;
/// \brief The location of the '::'.
SourceLocation CCLoc;
/// \brief Creates info object for the most typical case.
NestedNameSpecInfo(IdentifierInfo *II, SourceLocation IdLoc,
SourceLocation ColonColonLoc, ParsedType ObjectType = ParsedType())
: ObjectType(ObjectType), Identifier(II), IdentifierLoc(IdLoc),
CCLoc(ColonColonLoc) {
}
NestedNameSpecInfo(IdentifierInfo *II, SourceLocation IdLoc,
SourceLocation ColonColonLoc, QualType ObjectType)
: ObjectType(ParsedType::make(ObjectType)), Identifier(II),
IdentifierLoc(IdLoc), CCLoc(ColonColonLoc) {
}
};
bool isNonTypeNestedNameSpecifier(Scope *S, CXXScopeSpec &SS,
NestedNameSpecInfo &IdInfo);
bool BuildCXXNestedNameSpecifier(Scope *S,
NestedNameSpecInfo &IdInfo,
bool EnteringContext,
CXXScopeSpec &SS,
NamedDecl *ScopeLookupResult,
bool ErrorRecoveryLookup,
bool *IsCorrectedToColon = nullptr);
/// \brief The parser has parsed a nested-name-specifier 'identifier::'.
///
/// \param S The scope in which this nested-name-specifier occurs.
///
/// \param IdInfo Parser information about an identifier in the
/// nested-name-spec.
///
/// \param EnteringContext Whether we're entering the context nominated by
/// this nested-name-specifier.
///
/// \param SS The nested-name-specifier, which is both an input
/// parameter (the nested-name-specifier before this type) and an
/// output parameter (containing the full nested-name-specifier,
/// including this new type).
///
/// \param ErrorRecoveryLookup If true, then this method is called to improve
/// error recovery. In this case do not emit error message.
///
/// \param IsCorrectedToColon If not null, suggestions to replace '::' -> ':'
/// are allowed. The bool value pointed by this parameter is set to 'true'
/// if the identifier is treated as if it was followed by ':', not '::'.
///
/// \returns true if an error occurred, false otherwise.
bool ActOnCXXNestedNameSpecifier(Scope *S,
NestedNameSpecInfo &IdInfo,
bool EnteringContext,
CXXScopeSpec &SS,
bool ErrorRecoveryLookup = false,
bool *IsCorrectedToColon = nullptr);
ExprResult ActOnDecltypeExpression(Expr *E);
bool ActOnCXXNestedNameSpecifierDecltype(CXXScopeSpec &SS,
const DeclSpec &DS,
SourceLocation ColonColonLoc);
bool IsInvalidUnlessNestedName(Scope *S, CXXScopeSpec &SS,
NestedNameSpecInfo &IdInfo,
bool EnteringContext);
/// \brief The parser has parsed a nested-name-specifier
/// 'template[opt] template-name < template-args >::'.
///
/// \param S The scope in which this nested-name-specifier occurs.
///
/// \param SS The nested-name-specifier, which is both an input
/// parameter (the nested-name-specifier before this type) and an
/// output parameter (containing the full nested-name-specifier,
/// including this new type).
///
/// \param TemplateKWLoc the location of the 'template' keyword, if any.
/// \param TemplateName the template name.
/// \param TemplateNameLoc The location of the template name.
/// \param LAngleLoc The location of the opening angle bracket ('<').
/// \param TemplateArgs The template arguments.
/// \param RAngleLoc The location of the closing angle bracket ('>').
/// \param CCLoc The location of the '::'.
///
/// \param EnteringContext Whether we're entering the context of the
/// nested-name-specifier.
///
///
/// \returns true if an error occurred, false otherwise.
bool ActOnCXXNestedNameSpecifier(Scope *S,
CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
TemplateTy TemplateName,
SourceLocation TemplateNameLoc,
SourceLocation LAngleLoc,
ASTTemplateArgsPtr TemplateArgs,
SourceLocation RAngleLoc,
SourceLocation CCLoc,
bool EnteringContext);
/// \brief Given a C++ nested-name-specifier, produce an annotation value
/// that the parser can use later to reconstruct the given
/// nested-name-specifier.
///
/// \param SS A nested-name-specifier.
///
/// \returns A pointer containing all of the information in the
/// nested-name-specifier \p SS.
void *SaveNestedNameSpecifierAnnotation(CXXScopeSpec &SS);
/// \brief Given an annotation pointer for a nested-name-specifier, restore
/// the nested-name-specifier structure.
///
/// \param Annotation The annotation pointer, produced by
/// \c SaveNestedNameSpecifierAnnotation().
///
/// \param AnnotationRange The source range corresponding to the annotation.
///
/// \param SS The nested-name-specifier that will be updated with the contents
/// of the annotation pointer.
void RestoreNestedNameSpecifierAnnotation(void *Annotation,
SourceRange AnnotationRange,
CXXScopeSpec &SS);
bool ShouldEnterDeclaratorScope(Scope *S, const CXXScopeSpec &SS);
/// ActOnCXXEnterDeclaratorScope - Called when a C++ scope specifier (global
/// scope or nested-name-specifier) is parsed, part of a declarator-id.
/// After this method is called, according to [C++ 3.4.3p3], names should be
/// looked up in the declarator-id's scope, until the declarator is parsed and
/// ActOnCXXExitDeclaratorScope is called.
/// The 'SS' should be a non-empty valid CXXScopeSpec.
bool ActOnCXXEnterDeclaratorScope(Scope *S, CXXScopeSpec &SS);
/// ActOnCXXExitDeclaratorScope - Called when a declarator that previously
/// invoked ActOnCXXEnterDeclaratorScope(), is finished. 'SS' is the same
/// CXXScopeSpec that was passed to ActOnCXXEnterDeclaratorScope as well.
/// Used to indicate that names should revert to being looked up in the
/// defining scope.
void ActOnCXXExitDeclaratorScope(Scope *S, const CXXScopeSpec &SS);
/// ActOnCXXEnterDeclInitializer - Invoked when we are about to parse an
/// initializer for the declaration 'Dcl'.
/// After this method is called, according to [C++ 3.4.1p13], if 'Dcl' is a
/// static data member of class X, names should be looked up in the scope of
/// class X.
void ActOnCXXEnterDeclInitializer(Scope *S, Decl *Dcl);
/// ActOnCXXExitDeclInitializer - Invoked after we are finished parsing an
/// initializer for the declaration 'Dcl'.
void ActOnCXXExitDeclInitializer(Scope *S, Decl *Dcl);
/// \brief Create a new lambda closure type.
CXXRecordDecl *createLambdaClosureType(SourceRange IntroducerRange,
TypeSourceInfo *Info,
bool KnownDependent,
LambdaCaptureDefault CaptureDefault);
/// \brief Start the definition of a lambda expression.
CXXMethodDecl *startLambdaDefinition(CXXRecordDecl *Class,
SourceRange IntroducerRange,
TypeSourceInfo *MethodType,
SourceLocation EndLoc,
ArrayRef<ParmVarDecl *> Params,
bool IsConstexprSpecified);
/// \brief Endow the lambda scope info with the relevant properties.
void buildLambdaScope(sema::LambdaScopeInfo *LSI,
CXXMethodDecl *CallOperator,
SourceRange IntroducerRange,
LambdaCaptureDefault CaptureDefault,
SourceLocation CaptureDefaultLoc,
bool ExplicitParams,
bool ExplicitResultType,
bool Mutable);
/// \brief Perform initialization analysis of the init-capture and perform
/// any implicit conversions such as an lvalue-to-rvalue conversion if
/// not being used to initialize a reference.
ParsedType actOnLambdaInitCaptureInitialization(
SourceLocation Loc, bool ByRef, IdentifierInfo *Id,
LambdaCaptureInitKind InitKind, Expr *&Init) {
return ParsedType::make(buildLambdaInitCaptureInitialization(
Loc, ByRef, Id, InitKind != LambdaCaptureInitKind::CopyInit, Init));
}
QualType buildLambdaInitCaptureInitialization(SourceLocation Loc, bool ByRef,
IdentifierInfo *Id,
bool DirectInit, Expr *&Init);
/// \brief Create a dummy variable within the declcontext of the lambda's
/// call operator, for name lookup purposes for a lambda init capture.
///
/// CodeGen handles emission of lambda captures, ignoring these dummy
/// variables appropriately.
VarDecl *createLambdaInitCaptureVarDecl(SourceLocation Loc,
QualType InitCaptureType,
IdentifierInfo *Id,
unsigned InitStyle, Expr *Init);
/// \brief Build the implicit field for an init-capture.
FieldDecl *buildInitCaptureField(sema::LambdaScopeInfo *LSI, VarDecl *Var);
/// \brief Note that we have finished the explicit captures for the
/// given lambda.
void finishLambdaExplicitCaptures(sema::LambdaScopeInfo *LSI);
/// \brief Introduce the lambda parameters into scope.
void addLambdaParameters(CXXMethodDecl *CallOperator, Scope *CurScope);
/// \brief Deduce a block or lambda's return type based on the return
/// statements present in the body.
void deduceClosureReturnType(sema::CapturingScopeInfo &CSI);
/// ActOnStartOfLambdaDefinition - This is called just before we start
/// parsing the body of a lambda; it analyzes the explicit captures and
/// arguments, and sets up various data-structures for the body of the
/// lambda.
void ActOnStartOfLambdaDefinition(LambdaIntroducer &Intro,
Declarator &ParamInfo, Scope *CurScope);
/// ActOnLambdaError - If there is an error parsing a lambda, this callback
/// is invoked to pop the information about the lambda.
void ActOnLambdaError(SourceLocation StartLoc, Scope *CurScope,
bool IsInstantiation = false);
/// ActOnLambdaExpr - This is called when the body of a lambda expression
/// was successfully completed.
ExprResult ActOnLambdaExpr(SourceLocation StartLoc, Stmt *Body,
Scope *CurScope);
/// \brief Complete a lambda-expression having processed and attached the
/// lambda body.
ExprResult BuildLambdaExpr(SourceLocation StartLoc, SourceLocation EndLoc,
sema::LambdaScopeInfo *LSI);
/// \brief Define the "body" of the conversion from a lambda object to a
/// function pointer.
///
/// This routine doesn't actually define a sensible body; rather, it fills
/// in the initialization expression needed to copy the lambda object into
/// the block, and IR generation actually generates the real body of the
/// block pointer conversion.
void DefineImplicitLambdaToFunctionPointerConversion(
SourceLocation CurrentLoc, CXXConversionDecl *Conv);
/// \brief Define the "body" of the conversion from a lambda object to a
/// block pointer.
///
/// This routine doesn't actually define a sensible body; rather, it fills
/// in the initialization expression needed to copy the lambda object into
/// the block, and IR generation actually generates the real body of the
/// block pointer conversion.
void DefineImplicitLambdaToBlockPointerConversion(SourceLocation CurrentLoc,
CXXConversionDecl *Conv);
ExprResult BuildBlockForLambdaConversion(SourceLocation CurrentLocation,
SourceLocation ConvLocation,
CXXConversionDecl *Conv,
Expr *Src);
// ParseObjCStringLiteral - Parse Objective-C string literals.
ExprResult ParseObjCStringLiteral(SourceLocation *AtLocs,
ArrayRef<Expr *> Strings);
ExprResult BuildObjCStringLiteral(SourceLocation AtLoc, StringLiteral *S);
/// BuildObjCNumericLiteral - builds an ObjCBoxedExpr AST node for the
/// numeric literal expression. Type of the expression will be "NSNumber *"
/// or "id" if NSNumber is unavailable.
ExprResult BuildObjCNumericLiteral(SourceLocation AtLoc, Expr *Number);
ExprResult ActOnObjCBoolLiteral(SourceLocation AtLoc, SourceLocation ValueLoc,
bool Value);
ExprResult BuildObjCArrayLiteral(SourceRange SR, MultiExprArg Elements);
/// BuildObjCBoxedExpr - builds an ObjCBoxedExpr AST node for the
/// '@' prefixed parenthesized expression. The type of the expression will
/// either be "NSNumber *", "NSString *" or "NSValue *" depending on the type
/// of ValueType, which is allowed to be a built-in numeric type, "char *",
/// "const char *" or C structure with attribute 'objc_boxable'.
ExprResult BuildObjCBoxedExpr(SourceRange SR, Expr *ValueExpr);
ExprResult BuildObjCSubscriptExpression(SourceLocation RB, Expr *BaseExpr,
Expr *IndexExpr,
ObjCMethodDecl *getterMethod,
ObjCMethodDecl *setterMethod);
ExprResult BuildObjCDictionaryLiteral(SourceRange SR,
MutableArrayRef<ObjCDictionaryElement> Elements);
ExprResult BuildObjCEncodeExpression(SourceLocation AtLoc,
TypeSourceInfo *EncodedTypeInfo,
SourceLocation RParenLoc);
ExprResult BuildCXXMemberCallExpr(Expr *Exp, NamedDecl *FoundDecl,
CXXConversionDecl *Method,
bool HadMultipleCandidates);
ExprResult ParseObjCEncodeExpression(SourceLocation AtLoc,
SourceLocation EncodeLoc,
SourceLocation LParenLoc,
ParsedType Ty,
SourceLocation RParenLoc);
/// ParseObjCSelectorExpression - Build selector expression for \@selector
ExprResult ParseObjCSelectorExpression(Selector Sel,
SourceLocation AtLoc,
SourceLocation SelLoc,
SourceLocation LParenLoc,
SourceLocation RParenLoc,
bool WarnMultipleSelectors);
/// ParseObjCProtocolExpression - Build protocol expression for \@protocol
ExprResult ParseObjCProtocolExpression(IdentifierInfo * ProtocolName,
SourceLocation AtLoc,
SourceLocation ProtoLoc,
SourceLocation LParenLoc,
SourceLocation ProtoIdLoc,
SourceLocation RParenLoc);
//===--------------------------------------------------------------------===//
// C++ Declarations
//
Decl *ActOnStartLinkageSpecification(Scope *S,
SourceLocation ExternLoc,
Expr *LangStr,
SourceLocation LBraceLoc);
Decl *ActOnFinishLinkageSpecification(Scope *S,
Decl *LinkageSpec,
SourceLocation RBraceLoc);
//===--------------------------------------------------------------------===//
// C++ Classes
//
bool isCurrentClassName(const IdentifierInfo &II, Scope *S,
const CXXScopeSpec *SS = nullptr);
bool isCurrentClassNameTypo(IdentifierInfo *&II, const CXXScopeSpec *SS);
bool ActOnAccessSpecifier(AccessSpecifier Access,
SourceLocation ASLoc,
SourceLocation ColonLoc,
AttributeList *Attrs = nullptr);
NamedDecl *ActOnCXXMemberDeclarator(Scope *S, AccessSpecifier AS,
Declarator &D,
MultiTemplateParamsArg TemplateParameterLists,
Expr *BitfieldWidth, const VirtSpecifiers &VS,
InClassInitStyle InitStyle);
void ActOnStartCXXInClassMemberInitializer();
void ActOnFinishCXXInClassMemberInitializer(Decl *VarDecl,
SourceLocation EqualLoc,
Expr *Init);
MemInitResult ActOnMemInitializer(Decl *ConstructorD,
Scope *S,
CXXScopeSpec &SS,
IdentifierInfo *MemberOrBase,
ParsedType TemplateTypeTy,
const DeclSpec &DS,
SourceLocation IdLoc,
SourceLocation LParenLoc,
ArrayRef<Expr *> Args,
SourceLocation RParenLoc,
SourceLocation EllipsisLoc);
MemInitResult ActOnMemInitializer(Decl *ConstructorD,
Scope *S,
CXXScopeSpec &SS,
IdentifierInfo *MemberOrBase,
ParsedType TemplateTypeTy,
const DeclSpec &DS,
SourceLocation IdLoc,
Expr *InitList,
SourceLocation EllipsisLoc);
MemInitResult BuildMemInitializer(Decl *ConstructorD,
Scope *S,
CXXScopeSpec &SS,
IdentifierInfo *MemberOrBase,
ParsedType TemplateTypeTy,
const DeclSpec &DS,
SourceLocation IdLoc,
Expr *Init,
SourceLocation EllipsisLoc);
MemInitResult BuildMemberInitializer(ValueDecl *Member,
Expr *Init,
SourceLocation IdLoc);
MemInitResult BuildBaseInitializer(QualType BaseType,
TypeSourceInfo *BaseTInfo,
Expr *Init,
CXXRecordDecl *ClassDecl,
SourceLocation EllipsisLoc);
MemInitResult BuildDelegatingInitializer(TypeSourceInfo *TInfo,
Expr *Init,
CXXRecordDecl *ClassDecl);
bool SetDelegatingInitializer(CXXConstructorDecl *Constructor,
CXXCtorInitializer *Initializer);
bool SetCtorInitializers(CXXConstructorDecl *Constructor, bool AnyErrors,
ArrayRef<CXXCtorInitializer *> Initializers = None);
void SetIvarInitializers(ObjCImplementationDecl *ObjCImplementation);
/// MarkBaseAndMemberDestructorsReferenced - Given a record decl,
/// mark all the non-trivial destructors of its members and bases as
/// referenced.
void MarkBaseAndMemberDestructorsReferenced(SourceLocation Loc,
CXXRecordDecl *Record);
/// \brief The list of classes whose vtables have been used within
/// this translation unit, and the source locations at which the
/// first use occurred.
typedef std::pair<CXXRecordDecl*, SourceLocation> VTableUse;
/// \brief The list of vtables that are required but have not yet been
/// materialized.
SmallVector<VTableUse, 16> VTableUses;
/// \brief The set of classes whose vtables have been used within
/// this translation unit, and a bit that will be true if the vtable is
/// required to be emitted (otherwise, it should be emitted only if needed
/// by code generation).
llvm::DenseMap<CXXRecordDecl *, bool> VTablesUsed;
/// \brief Load any externally-stored vtable uses.
void LoadExternalVTableUses();
/// \brief Note that the vtable for the given class was used at the
/// given location.
void MarkVTableUsed(SourceLocation Loc, CXXRecordDecl *Class,
bool DefinitionRequired = false);
/// \brief Mark the exception specifications of all virtual member functions
/// in the given class as needed.
void MarkVirtualMemberExceptionSpecsNeeded(SourceLocation Loc,
const CXXRecordDecl *RD);
/// MarkVirtualMembersReferenced - Will mark all members of the given
/// CXXRecordDecl referenced.
void MarkVirtualMembersReferenced(SourceLocation Loc,
const CXXRecordDecl *RD);
/// \brief Define all of the vtables that have been used in this
/// translation unit and reference any virtual members used by those
/// vtables.
///
/// \returns true if any work was done, false otherwise.
bool DefineUsedVTables();
void AddImplicitlyDeclaredMembersToClass(CXXRecordDecl *ClassDecl);
void ActOnMemInitializers(Decl *ConstructorDecl,
SourceLocation ColonLoc,
ArrayRef<CXXCtorInitializer*> MemInits,
bool AnyErrors);
/// \brief Check class-level dllimport/dllexport attribute. The caller must
/// ensure that referenceDLLExportedClassMethods is called some point later
/// when all outer classes of Class are complete.
void checkClassLevelDLLAttribute(CXXRecordDecl *Class);
void referenceDLLExportedClassMethods();
void propagateDLLAttrToBaseClassTemplate(
CXXRecordDecl *Class, Attr *ClassAttr,
ClassTemplateSpecializationDecl *BaseTemplateSpec,
SourceLocation BaseLoc);
void CheckCompletedCXXClass(CXXRecordDecl *Record);
void ActOnFinishCXXMemberSpecification(Scope* S, SourceLocation RLoc,
Decl *TagDecl,
SourceLocation LBrac,
SourceLocation RBrac,
AttributeList *AttrList);
void ActOnFinishCXXMemberDecls();
void ActOnFinishCXXNonNestedClass(Decl *D);
void ActOnReenterCXXMethodParameter(Scope *S, ParmVarDecl *Param);
unsigned ActOnReenterTemplateScope(Scope *S, Decl *Template);
void ActOnStartDelayedMemberDeclarations(Scope *S, Decl *Record);
void ActOnStartDelayedCXXMethodDeclaration(Scope *S, Decl *Method);
void ActOnDelayedCXXMethodParameter(Scope *S, Decl *Param);
void ActOnFinishDelayedMemberDeclarations(Scope *S, Decl *Record);
void ActOnFinishDelayedCXXMethodDeclaration(Scope *S, Decl *Method);
void ActOnFinishDelayedMemberInitializers(Decl *Record);
void MarkAsLateParsedTemplate(FunctionDecl *FD, Decl *FnD,
CachedTokens &Toks);
void UnmarkAsLateParsedTemplate(FunctionDecl *FD);
bool IsInsideALocalClassWithinATemplateFunction();
Decl *ActOnStaticAssertDeclaration(SourceLocation StaticAssertLoc,
Expr *AssertExpr,
Expr *AssertMessageExpr,
SourceLocation RParenLoc);
Decl *BuildStaticAssertDeclaration(SourceLocation StaticAssertLoc,
Expr *AssertExpr,
StringLiteral *AssertMessageExpr,
SourceLocation RParenLoc,
bool Failed);
FriendDecl *CheckFriendTypeDecl(SourceLocation LocStart,
SourceLocation FriendLoc,
TypeSourceInfo *TSInfo);
Decl *ActOnFriendTypeDecl(Scope *S, const DeclSpec &DS,
MultiTemplateParamsArg TemplateParams);
NamedDecl *ActOnFriendFunctionDecl(Scope *S, Declarator &D,
MultiTemplateParamsArg TemplateParams);
QualType CheckConstructorDeclarator(Declarator &D, QualType R,
StorageClass& SC);
void CheckConstructor(CXXConstructorDecl *Constructor);
QualType CheckDestructorDeclarator(Declarator &D, QualType R,
StorageClass& SC);
bool CheckDestructor(CXXDestructorDecl *Destructor);
void CheckConversionDeclarator(Declarator &D, QualType &R,
StorageClass& SC);
Decl *ActOnConversionDeclarator(CXXConversionDecl *Conversion);
void CheckExplicitlyDefaultedSpecialMember(CXXMethodDecl *MD);
void CheckExplicitlyDefaultedMemberExceptionSpec(CXXMethodDecl *MD,
const FunctionProtoType *T);
void CheckDelayedMemberExceptionSpecs();
//===--------------------------------------------------------------------===//
// C++ Derived Classes
//
/// ActOnBaseSpecifier - Parsed a base specifier
CXXBaseSpecifier *CheckBaseSpecifier(CXXRecordDecl *Class,
SourceRange SpecifierRange,
bool Virtual, AccessSpecifier Access,
TypeSourceInfo *TInfo,
SourceLocation EllipsisLoc);
BaseResult ActOnBaseSpecifier(Decl *classdecl,
SourceRange SpecifierRange,
ParsedAttributes &Attrs,
bool Virtual, AccessSpecifier Access,
ParsedType basetype,
SourceLocation BaseLoc,
SourceLocation EllipsisLoc);
bool AttachBaseSpecifiers(CXXRecordDecl *Class,
MutableArrayRef<CXXBaseSpecifier *> Bases);
void ActOnBaseSpecifiers(Decl *ClassDecl,
MutableArrayRef<CXXBaseSpecifier *> Bases);
bool IsDerivedFrom(SourceLocation Loc, QualType Derived, QualType Base);
bool IsDerivedFrom(SourceLocation Loc, QualType Derived, QualType Base,
CXXBasePaths &Paths);
// FIXME: I don't like this name.
void BuildBasePathArray(const CXXBasePaths &Paths, CXXCastPath &BasePath);
bool CheckDerivedToBaseConversion(QualType Derived, QualType Base,
SourceLocation Loc, SourceRange Range,
CXXCastPath *BasePath = nullptr,
bool IgnoreAccess = false);
bool CheckDerivedToBaseConversion(QualType Derived, QualType Base,
unsigned InaccessibleBaseID,
unsigned AmbigiousBaseConvID,
SourceLocation Loc, SourceRange Range,
DeclarationName Name,
CXXCastPath *BasePath,
bool IgnoreAccess = false);
std::string getAmbiguousPathsDisplayString(CXXBasePaths &Paths);
bool CheckOverridingFunctionAttributes(const CXXMethodDecl *New,
const CXXMethodDecl *Old);
/// CheckOverridingFunctionReturnType - Checks whether the return types are
/// covariant, according to C++ [class.virtual]p5.
bool CheckOverridingFunctionReturnType(const CXXMethodDecl *New,
const CXXMethodDecl *Old);
/// CheckOverridingFunctionExceptionSpec - Checks whether the exception
/// spec is a subset of base spec.
bool CheckOverridingFunctionExceptionSpec(const CXXMethodDecl *New,
const CXXMethodDecl *Old);
bool CheckPureMethod(CXXMethodDecl *Method, SourceRange InitRange);
/// CheckOverrideControl - Check C++11 override control semantics.
void CheckOverrideControl(NamedDecl *D);
/// DiagnoseAbsenceOfOverrideControl - Diagnose if 'override' keyword was
/// not used in the declaration of an overriding method.
void DiagnoseAbsenceOfOverrideControl(NamedDecl *D);
/// CheckForFunctionMarkedFinal - Checks whether a virtual member function
/// overrides a virtual member function marked 'final', according to
/// C++11 [class.virtual]p4.
bool CheckIfOverriddenFunctionIsMarkedFinal(const CXXMethodDecl *New,
const CXXMethodDecl *Old);
//===--------------------------------------------------------------------===//
// C++ Access Control
//
enum AccessResult {
AR_accessible,
AR_inaccessible,
AR_dependent,
AR_delayed
};
bool SetMemberAccessSpecifier(NamedDecl *MemberDecl,
NamedDecl *PrevMemberDecl,
AccessSpecifier LexicalAS);
AccessResult CheckUnresolvedMemberAccess(UnresolvedMemberExpr *E,
DeclAccessPair FoundDecl);
AccessResult CheckUnresolvedLookupAccess(UnresolvedLookupExpr *E,
DeclAccessPair FoundDecl);
AccessResult CheckAllocationAccess(SourceLocation OperatorLoc,
SourceRange PlacementRange,
CXXRecordDecl *NamingClass,
DeclAccessPair FoundDecl,
bool Diagnose = true);
AccessResult CheckConstructorAccess(SourceLocation Loc,
CXXConstructorDecl *D,
DeclAccessPair FoundDecl,
const InitializedEntity &Entity,
bool IsCopyBindingRefToTemp = false);
AccessResult CheckConstructorAccess(SourceLocation Loc,
CXXConstructorDecl *D,
DeclAccessPair FoundDecl,
const InitializedEntity &Entity,
const PartialDiagnostic &PDiag);
AccessResult CheckDestructorAccess(SourceLocation Loc,
CXXDestructorDecl *Dtor,
const PartialDiagnostic &PDiag,
QualType objectType = QualType());
AccessResult CheckFriendAccess(NamedDecl *D);
AccessResult CheckMemberAccess(SourceLocation UseLoc,
CXXRecordDecl *NamingClass,
DeclAccessPair Found);
AccessResult CheckMemberOperatorAccess(SourceLocation Loc,
Expr *ObjectExpr,
Expr *ArgExpr,
DeclAccessPair FoundDecl);
AccessResult CheckAddressOfMemberAccess(Expr *OvlExpr,
DeclAccessPair FoundDecl);
AccessResult CheckBaseClassAccess(SourceLocation AccessLoc,
QualType Base, QualType Derived,
const CXXBasePath &Path,
unsigned DiagID,
bool ForceCheck = false,
bool ForceUnprivileged = false);
void CheckLookupAccess(const LookupResult &R);
bool IsSimplyAccessible(NamedDecl *decl, DeclContext *Ctx);
bool isSpecialMemberAccessibleForDeletion(CXXMethodDecl *decl,
AccessSpecifier access,
QualType objectType);
void HandleDependentAccessCheck(const DependentDiagnostic &DD,
const MultiLevelTemplateArgumentList &TemplateArgs);
void PerformDependentDiagnostics(const DeclContext *Pattern,
const MultiLevelTemplateArgumentList &TemplateArgs);
void HandleDelayedAccessCheck(sema::DelayedDiagnostic &DD, Decl *Ctx);
/// \brief When true, access checking violations are treated as SFINAE
/// failures rather than hard errors.
bool AccessCheckingSFINAE;
enum AbstractDiagSelID {
AbstractNone = -1,
AbstractReturnType,
AbstractParamType,
AbstractVariableType,
AbstractFieldType,
AbstractIvarType,
AbstractSynthesizedIvarType,
AbstractArrayType
};
bool isAbstractType(SourceLocation Loc, QualType T);
bool RequireNonAbstractType(SourceLocation Loc, QualType T,
TypeDiagnoser &Diagnoser);
template <typename... Ts>
bool RequireNonAbstractType(SourceLocation Loc, QualType T, unsigned DiagID,
const Ts &...Args) {
BoundTypeDiagnoser<Ts...> Diagnoser(DiagID, Args...);
return RequireNonAbstractType(Loc, T, Diagnoser);
}
void DiagnoseAbstractType(const CXXRecordDecl *RD);
//===--------------------------------------------------------------------===//
// C++ Overloaded Operators [C++ 13.5]
//
bool CheckOverloadedOperatorDeclaration(FunctionDecl *FnDecl);
bool CheckLiteralOperatorDeclaration(FunctionDecl *FnDecl);
//===--------------------------------------------------------------------===//
// C++ Templates [C++ 14]
//
void FilterAcceptableTemplateNames(LookupResult &R,
bool AllowFunctionTemplates = true);
bool hasAnyAcceptableTemplateNames(LookupResult &R,
bool AllowFunctionTemplates = true);
void LookupTemplateName(LookupResult &R, Scope *S, CXXScopeSpec &SS,
QualType ObjectType, bool EnteringContext,
bool &MemberOfUnknownSpecialization);
TemplateNameKind isTemplateName(Scope *S,
CXXScopeSpec &SS,
bool hasTemplateKeyword,
UnqualifiedId &Name,
ParsedType ObjectType,
bool EnteringContext,
TemplateTy &Template,
bool &MemberOfUnknownSpecialization);
bool DiagnoseUnknownTemplateName(const IdentifierInfo &II,
SourceLocation IILoc,
Scope *S,
const CXXScopeSpec *SS,
TemplateTy &SuggestedTemplate,
TemplateNameKind &SuggestedKind);
bool DiagnoseUninstantiableTemplate(SourceLocation PointOfInstantiation,
NamedDecl *Instantiation,
bool InstantiatedFromMember,
const NamedDecl *Pattern,
const NamedDecl *PatternDef,
TemplateSpecializationKind TSK,
bool Complain = true);
void DiagnoseTemplateParameterShadow(SourceLocation Loc, Decl *PrevDecl);
TemplateDecl *AdjustDeclIfTemplate(Decl *&Decl);
Decl *ActOnTypeParameter(Scope *S, bool Typename,
SourceLocation EllipsisLoc,
SourceLocation KeyLoc,
IdentifierInfo *ParamName,
SourceLocation ParamNameLoc,
unsigned Depth, unsigned Position,
SourceLocation EqualLoc,
ParsedType DefaultArg);
QualType CheckNonTypeTemplateParameterType(TypeSourceInfo *&TSI,
SourceLocation Loc);
QualType CheckNonTypeTemplateParameterType(QualType T, SourceLocation Loc);
Decl *ActOnNonTypeTemplateParameter(Scope *S, Declarator &D,
unsigned Depth,
unsigned Position,
SourceLocation EqualLoc,
Expr *DefaultArg);
Decl *ActOnTemplateTemplateParameter(Scope *S,
SourceLocation TmpLoc,
TemplateParameterList *Params,
SourceLocation EllipsisLoc,
IdentifierInfo *ParamName,
SourceLocation ParamNameLoc,
unsigned Depth,
unsigned Position,
SourceLocation EqualLoc,
ParsedTemplateArgument DefaultArg);
TemplateParameterList *
ActOnTemplateParameterList(unsigned Depth,
SourceLocation ExportLoc,
SourceLocation TemplateLoc,
SourceLocation LAngleLoc,
ArrayRef<Decl *> Params,
SourceLocation RAngleLoc,
Expr *RequiresClause);
/// \brief The context in which we are checking a template parameter list.
enum TemplateParamListContext {
TPC_ClassTemplate,
TPC_VarTemplate,
TPC_FunctionTemplate,
TPC_ClassTemplateMember,
TPC_FriendClassTemplate,
TPC_FriendFunctionTemplate,
TPC_FriendFunctionTemplateDefinition,
TPC_TypeAliasTemplate
};
bool CheckTemplateParameterList(TemplateParameterList *NewParams,
TemplateParameterList *OldParams,
TemplateParamListContext TPC);
TemplateParameterList *MatchTemplateParametersToScopeSpecifier(
SourceLocation DeclStartLoc, SourceLocation DeclLoc,
const CXXScopeSpec &SS, TemplateIdAnnotation *TemplateId,
ArrayRef<TemplateParameterList *> ParamLists,
bool IsFriend, bool &IsExplicitSpecialization, bool &Invalid);
DeclResult CheckClassTemplate(Scope *S, unsigned TagSpec, TagUseKind TUK,
SourceLocation KWLoc, CXXScopeSpec &SS,
IdentifierInfo *Name, SourceLocation NameLoc,
AttributeList *Attr,
TemplateParameterList *TemplateParams,
AccessSpecifier AS,
SourceLocation ModulePrivateLoc,
SourceLocation FriendLoc,
unsigned NumOuterTemplateParamLists,
TemplateParameterList **OuterTemplateParamLists,
SkipBodyInfo *SkipBody = nullptr);
TemplateArgumentLoc getTrivialTemplateArgumentLoc(const TemplateArgument &Arg,
QualType NTTPType,
SourceLocation Loc);
void translateTemplateArguments(const ASTTemplateArgsPtr &In,
TemplateArgumentListInfo &Out);
void NoteAllFoundTemplates(TemplateName Name);
QualType CheckTemplateIdType(TemplateName Template,
SourceLocation TemplateLoc,
TemplateArgumentListInfo &TemplateArgs);
TypeResult
ActOnTemplateIdType(CXXScopeSpec &SS, SourceLocation TemplateKWLoc,
TemplateTy Template, SourceLocation TemplateLoc,
SourceLocation LAngleLoc,
ASTTemplateArgsPtr TemplateArgs,
SourceLocation RAngleLoc,
bool IsCtorOrDtorName = false);
/// \brief Parsed an elaborated-type-specifier that refers to a template-id,
/// such as \c class T::template apply<U>.
TypeResult ActOnTagTemplateIdType(TagUseKind TUK,
TypeSpecifierType TagSpec,
SourceLocation TagLoc,
CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
TemplateTy TemplateD,
SourceLocation TemplateLoc,
SourceLocation LAngleLoc,
ASTTemplateArgsPtr TemplateArgsIn,
SourceLocation RAngleLoc);
DeclResult ActOnVarTemplateSpecialization(
Scope *S, Declarator &D, TypeSourceInfo *DI,
SourceLocation TemplateKWLoc, TemplateParameterList *TemplateParams,
StorageClass SC, bool IsPartialSpecialization);
DeclResult CheckVarTemplateId(VarTemplateDecl *Template,
SourceLocation TemplateLoc,
SourceLocation TemplateNameLoc,
const TemplateArgumentListInfo &TemplateArgs);
ExprResult CheckVarTemplateId(const CXXScopeSpec &SS,
const DeclarationNameInfo &NameInfo,
VarTemplateDecl *Template,
SourceLocation TemplateLoc,
const TemplateArgumentListInfo *TemplateArgs);
ExprResult BuildTemplateIdExpr(const CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
LookupResult &R,
bool RequiresADL,
const TemplateArgumentListInfo *TemplateArgs);
ExprResult BuildQualifiedTemplateIdExpr(CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
const DeclarationNameInfo &NameInfo,
const TemplateArgumentListInfo *TemplateArgs);
TemplateNameKind ActOnDependentTemplateName(Scope *S,
CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
UnqualifiedId &Name,
ParsedType ObjectType,
bool EnteringContext,
TemplateTy &Template);
DeclResult
ActOnClassTemplateSpecialization(Scope *S, unsigned TagSpec, TagUseKind TUK,
SourceLocation KWLoc,
SourceLocation ModulePrivateLoc,
TemplateIdAnnotation &TemplateId,
AttributeList *Attr,
MultiTemplateParamsArg TemplateParameterLists,
SkipBodyInfo *SkipBody = nullptr);
bool CheckTemplatePartialSpecializationArgs(SourceLocation Loc,
TemplateDecl *PrimaryTemplate,
unsigned NumExplicitArgs,
ArrayRef<TemplateArgument> Args);
void CheckTemplatePartialSpecialization(
ClassTemplatePartialSpecializationDecl *Partial);
void CheckTemplatePartialSpecialization(
VarTemplatePartialSpecializationDecl *Partial);
Decl *ActOnTemplateDeclarator(Scope *S,
MultiTemplateParamsArg TemplateParameterLists,
Declarator &D);
bool
CheckSpecializationInstantiationRedecl(SourceLocation NewLoc,
TemplateSpecializationKind NewTSK,
NamedDecl *PrevDecl,
TemplateSpecializationKind PrevTSK,
SourceLocation PrevPtOfInstantiation,
bool &SuppressNew);
bool CheckDependentFunctionTemplateSpecialization(FunctionDecl *FD,
const TemplateArgumentListInfo &ExplicitTemplateArgs,
LookupResult &Previous);
bool CheckFunctionTemplateSpecialization(FunctionDecl *FD,
TemplateArgumentListInfo *ExplicitTemplateArgs,
LookupResult &Previous);
bool CheckMemberSpecialization(NamedDecl *Member, LookupResult &Previous);
DeclResult
ActOnExplicitInstantiation(Scope *S,
SourceLocation ExternLoc,
SourceLocation TemplateLoc,
unsigned TagSpec,
SourceLocation KWLoc,
const CXXScopeSpec &SS,
TemplateTy Template,
SourceLocation TemplateNameLoc,
SourceLocation LAngleLoc,
ASTTemplateArgsPtr TemplateArgs,
SourceLocation RAngleLoc,
AttributeList *Attr);
DeclResult
ActOnExplicitInstantiation(Scope *S,
SourceLocation ExternLoc,
SourceLocation TemplateLoc,
unsigned TagSpec,
SourceLocation KWLoc,
CXXScopeSpec &SS,
IdentifierInfo *Name,
SourceLocation NameLoc,
AttributeList *Attr);
DeclResult ActOnExplicitInstantiation(Scope *S,
SourceLocation ExternLoc,
SourceLocation TemplateLoc,
Declarator &D);
TemplateArgumentLoc
SubstDefaultTemplateArgumentIfAvailable(TemplateDecl *Template,
SourceLocation TemplateLoc,
SourceLocation RAngleLoc,
Decl *Param,
SmallVectorImpl<TemplateArgument>
&Converted,
bool &HasDefaultArg);
/// \brief Specifies the context in which a particular template
/// argument is being checked.
enum CheckTemplateArgumentKind {
/// \brief The template argument was specified in the code or was
/// instantiated with some deduced template arguments.
CTAK_Specified,
/// \brief The template argument was deduced via template argument
/// deduction.
CTAK_Deduced,
/// \brief The template argument was deduced from an array bound
/// via template argument deduction.
CTAK_DeducedFromArrayBound
};
bool CheckTemplateArgument(NamedDecl *Param,
TemplateArgumentLoc &Arg,
NamedDecl *Template,
SourceLocation TemplateLoc,
SourceLocation RAngleLoc,
unsigned ArgumentPackIndex,
SmallVectorImpl<TemplateArgument> &Converted,
CheckTemplateArgumentKind CTAK = CTAK_Specified);
/// \brief Check that the given template arguments can be be provided to
/// the given template, converting the arguments along the way.
///
/// \param Template The template to which the template arguments are being
/// provided.
///
/// \param TemplateLoc The location of the template name in the source.
///
/// \param TemplateArgs The list of template arguments. If the template is
/// a template template parameter, this function may extend the set of
/// template arguments to also include substituted, defaulted template
/// arguments.
///
/// \param PartialTemplateArgs True if the list of template arguments is
/// intentionally partial, e.g., because we're checking just the initial
/// set of template arguments.
///
/// \param Converted Will receive the converted, canonicalized template
/// arguments.
///
/// \returns true if an error occurred, false otherwise.
bool CheckTemplateArgumentList(TemplateDecl *Template,
SourceLocation TemplateLoc,
TemplateArgumentListInfo &TemplateArgs,
bool PartialTemplateArgs,
SmallVectorImpl<TemplateArgument> &Converted);
bool CheckTemplateTypeArgument(TemplateTypeParmDecl *Param,
TemplateArgumentLoc &Arg,
SmallVectorImpl<TemplateArgument> &Converted);
bool CheckTemplateArgument(TemplateTypeParmDecl *Param,
TypeSourceInfo *Arg);
ExprResult CheckTemplateArgument(NonTypeTemplateParmDecl *Param,
QualType InstantiatedParamType, Expr *Arg,
TemplateArgument &Converted,
CheckTemplateArgumentKind CTAK = CTAK_Specified);
bool CheckTemplateArgument(TemplateTemplateParmDecl *Param,
TemplateArgumentLoc &Arg,
unsigned ArgumentPackIndex);
ExprResult
BuildExpressionFromDeclTemplateArgument(const TemplateArgument &Arg,
QualType ParamType,
SourceLocation Loc);
ExprResult
BuildExpressionFromIntegralTemplateArgument(const TemplateArgument &Arg,
SourceLocation Loc);
/// \brief Enumeration describing how template parameter lists are compared
/// for equality.
enum TemplateParameterListEqualKind {
/// \brief We are matching the template parameter lists of two templates
/// that might be redeclarations.
///
/// \code
/// template<typename T> struct X;
/// template<typename T> struct X;
/// \endcode
TPL_TemplateMatch,
/// \brief We are matching the template parameter lists of two template
/// template parameters as part of matching the template parameter lists
/// of two templates that might be redeclarations.
///
/// \code
/// template<template<int I> class TT> struct X;
/// template<template<int Value> class Other> struct X;
/// \endcode
TPL_TemplateTemplateParmMatch,
/// \brief We are matching the template parameter lists of a template
/// template argument against the template parameter lists of a template
/// template parameter.
///
/// \code
/// template<template<int Value> class Metafun> struct X;
/// template<int Value> struct integer_c;
/// X<integer_c> xic;
/// \endcode
TPL_TemplateTemplateArgumentMatch
};
bool TemplateParameterListsAreEqual(TemplateParameterList *New,
TemplateParameterList *Old,
bool Complain,
TemplateParameterListEqualKind Kind,
SourceLocation TemplateArgLoc
= SourceLocation());
bool CheckTemplateDeclScope(Scope *S, TemplateParameterList *TemplateParams);
/// \brief Called when the parser has parsed a C++ typename
/// specifier, e.g., "typename T::type".
///
/// \param S The scope in which this typename type occurs.
/// \param TypenameLoc the location of the 'typename' keyword
/// \param SS the nested-name-specifier following the typename (e.g., 'T::').
/// \param II the identifier we're retrieving (e.g., 'type' in the example).
/// \param IdLoc the location of the identifier.
TypeResult
ActOnTypenameType(Scope *S, SourceLocation TypenameLoc,
const CXXScopeSpec &SS, const IdentifierInfo &II,
SourceLocation IdLoc);
/// \brief Called when the parser has parsed a C++ typename
/// specifier that ends in a template-id, e.g.,
/// "typename MetaFun::template apply<T1, T2>".
///
/// \param S The scope in which this typename type occurs.
/// \param TypenameLoc the location of the 'typename' keyword
/// \param SS the nested-name-specifier following the typename (e.g., 'T::').
/// \param TemplateLoc the location of the 'template' keyword, if any.
/// \param TemplateName The template name.
/// \param TemplateNameLoc The location of the template name.
/// \param LAngleLoc The location of the opening angle bracket ('<').
/// \param TemplateArgs The template arguments.
/// \param RAngleLoc The location of the closing angle bracket ('>').
TypeResult
ActOnTypenameType(Scope *S, SourceLocation TypenameLoc,
const CXXScopeSpec &SS,
SourceLocation TemplateLoc,
TemplateTy TemplateName,
SourceLocation TemplateNameLoc,
SourceLocation LAngleLoc,
ASTTemplateArgsPtr TemplateArgs,
SourceLocation RAngleLoc);
QualType CheckTypenameType(ElaboratedTypeKeyword Keyword,
SourceLocation KeywordLoc,
NestedNameSpecifierLoc QualifierLoc,
const IdentifierInfo &II,
SourceLocation IILoc);
TypeSourceInfo *RebuildTypeInCurrentInstantiation(TypeSourceInfo *T,
SourceLocation Loc,
DeclarationName Name);
bool RebuildNestedNameSpecifierInCurrentInstantiation(CXXScopeSpec &SS);
ExprResult RebuildExprInCurrentInstantiation(Expr *E);
bool RebuildTemplateParamsInCurrentInstantiation(
TemplateParameterList *Params);
std::string
getTemplateArgumentBindingsText(const TemplateParameterList *Params,
const TemplateArgumentList &Args);
std::string
getTemplateArgumentBindingsText(const TemplateParameterList *Params,
const TemplateArgument *Args,
unsigned NumArgs);
//===--------------------------------------------------------------------===//
// C++ Variadic Templates (C++0x [temp.variadic])
//===--------------------------------------------------------------------===//
/// Determine whether an unexpanded parameter pack might be permitted in this
/// location. Useful for error recovery.
bool isUnexpandedParameterPackPermitted();
/// \brief The context in which an unexpanded parameter pack is
/// being diagnosed.
///
/// Note that the values of this enumeration line up with the first
/// argument to the \c err_unexpanded_parameter_pack diagnostic.
enum UnexpandedParameterPackContext {
/// \brief An arbitrary expression.
UPPC_Expression = 0,
/// \brief The base type of a class type.
UPPC_BaseType,
/// \brief The type of an arbitrary declaration.
UPPC_DeclarationType,
/// \brief The type of a data member.
UPPC_DataMemberType,
/// \brief The size of a bit-field.
UPPC_BitFieldWidth,
/// \brief The expression in a static assertion.
UPPC_StaticAssertExpression,
/// \brief The fixed underlying type of an enumeration.
UPPC_FixedUnderlyingType,
/// \brief The enumerator value.
UPPC_EnumeratorValue,
/// \brief A using declaration.
UPPC_UsingDeclaration,
/// \brief A friend declaration.
UPPC_FriendDeclaration,
/// \brief A declaration qualifier.
UPPC_DeclarationQualifier,
/// \brief An initializer.
UPPC_Initializer,
/// \brief A default argument.
UPPC_DefaultArgument,
/// \brief The type of a non-type template parameter.
UPPC_NonTypeTemplateParameterType,
/// \brief The type of an exception.
UPPC_ExceptionType,
/// \brief Partial specialization.
UPPC_PartialSpecialization,
/// \brief Microsoft __if_exists.
UPPC_IfExists,
/// \brief Microsoft __if_not_exists.
UPPC_IfNotExists,
/// \brief Lambda expression.
UPPC_Lambda,
/// \brief Block expression,
UPPC_Block
};
/// \brief Diagnose unexpanded parameter packs.
///
/// \param Loc The location at which we should emit the diagnostic.
///
/// \param UPPC The context in which we are diagnosing unexpanded
/// parameter packs.
///
/// \param Unexpanded the set of unexpanded parameter packs.
///
/// \returns true if an error occurred, false otherwise.
bool DiagnoseUnexpandedParameterPacks(SourceLocation Loc,
UnexpandedParameterPackContext UPPC,
ArrayRef<UnexpandedParameterPack> Unexpanded);
/// \brief If the given type contains an unexpanded parameter pack,
/// diagnose the error.
///
/// \param Loc The source location where a diagnostc should be emitted.
///
/// \param T The type that is being checked for unexpanded parameter
/// packs.
///
/// \returns true if an error occurred, false otherwise.
bool DiagnoseUnexpandedParameterPack(SourceLocation Loc, TypeSourceInfo *T,
UnexpandedParameterPackContext UPPC);
/// \brief If the given expression contains an unexpanded parameter
/// pack, diagnose the error.
///
/// \param E The expression that is being checked for unexpanded
/// parameter packs.
///
/// \returns true if an error occurred, false otherwise.
bool DiagnoseUnexpandedParameterPack(Expr *E,
UnexpandedParameterPackContext UPPC = UPPC_Expression);
/// \brief If the given nested-name-specifier contains an unexpanded
/// parameter pack, diagnose the error.
///
/// \param SS The nested-name-specifier that is being checked for
/// unexpanded parameter packs.
///
/// \returns true if an error occurred, false otherwise.
bool DiagnoseUnexpandedParameterPack(const CXXScopeSpec &SS,
UnexpandedParameterPackContext UPPC);
/// \brief If the given name contains an unexpanded parameter pack,
/// diagnose the error.
///
/// \param NameInfo The name (with source location information) that
/// is being checked for unexpanded parameter packs.
///
/// \returns true if an error occurred, false otherwise.
bool DiagnoseUnexpandedParameterPack(const DeclarationNameInfo &NameInfo,
UnexpandedParameterPackContext UPPC);
/// \brief If the given template name contains an unexpanded parameter pack,
/// diagnose the error.
///
/// \param Loc The location of the template name.
///
/// \param Template The template name that is being checked for unexpanded
/// parameter packs.
///
/// \returns true if an error occurred, false otherwise.
bool DiagnoseUnexpandedParameterPack(SourceLocation Loc,
TemplateName Template,
UnexpandedParameterPackContext UPPC);
/// \brief If the given template argument contains an unexpanded parameter
/// pack, diagnose the error.
///
/// \param Arg The template argument that is being checked for unexpanded
/// parameter packs.
///
/// \returns true if an error occurred, false otherwise.
bool DiagnoseUnexpandedParameterPack(TemplateArgumentLoc Arg,
UnexpandedParameterPackContext UPPC);
/// \brief Collect the set of unexpanded parameter packs within the given
/// template argument.
///
/// \param Arg The template argument that will be traversed to find
/// unexpanded parameter packs.
void collectUnexpandedParameterPacks(TemplateArgument Arg,
SmallVectorImpl<UnexpandedParameterPack> &Unexpanded);
/// \brief Collect the set of unexpanded parameter packs within the given
/// template argument.
///
/// \param Arg The template argument that will be traversed to find
/// unexpanded parameter packs.
void collectUnexpandedParameterPacks(TemplateArgumentLoc Arg,
SmallVectorImpl<UnexpandedParameterPack> &Unexpanded);
/// \brief Collect the set of unexpanded parameter packs within the given
/// type.
///
/// \param T The type that will be traversed to find
/// unexpanded parameter packs.
void collectUnexpandedParameterPacks(QualType T,
SmallVectorImpl<UnexpandedParameterPack> &Unexpanded);
/// \brief Collect the set of unexpanded parameter packs within the given
/// type.
///
/// \param TL The type that will be traversed to find
/// unexpanded parameter packs.
void collectUnexpandedParameterPacks(TypeLoc TL,
SmallVectorImpl<UnexpandedParameterPack> &Unexpanded);
/// \brief Collect the set of unexpanded parameter packs within the given
/// nested-name-specifier.
///
/// \param NNS The nested-name-specifier that will be traversed to find
/// unexpanded parameter packs.
void collectUnexpandedParameterPacks(NestedNameSpecifierLoc NNS,
SmallVectorImpl<UnexpandedParameterPack> &Unexpanded);
/// \brief Collect the set of unexpanded parameter packs within the given
/// name.
///
/// \param NameInfo The name that will be traversed to find
/// unexpanded parameter packs.
void collectUnexpandedParameterPacks(const DeclarationNameInfo &NameInfo,
SmallVectorImpl<UnexpandedParameterPack> &Unexpanded);
/// \brief Invoked when parsing a template argument followed by an
/// ellipsis, which creates a pack expansion.
///
/// \param Arg The template argument preceding the ellipsis, which
/// may already be invalid.
///
/// \param EllipsisLoc The location of the ellipsis.
ParsedTemplateArgument ActOnPackExpansion(const ParsedTemplateArgument &Arg,
SourceLocation EllipsisLoc);
/// \brief Invoked when parsing a type followed by an ellipsis, which
/// creates a pack expansion.
///
/// \param Type The type preceding the ellipsis, which will become
/// the pattern of the pack expansion.
///
/// \param EllipsisLoc The location of the ellipsis.
TypeResult ActOnPackExpansion(ParsedType Type, SourceLocation EllipsisLoc);
/// \brief Construct a pack expansion type from the pattern of the pack
/// expansion.
TypeSourceInfo *CheckPackExpansion(TypeSourceInfo *Pattern,
SourceLocation EllipsisLoc,
Optional<unsigned> NumExpansions);
/// \brief Construct a pack expansion type from the pattern of the pack
/// expansion.
QualType CheckPackExpansion(QualType Pattern,
SourceRange PatternRange,
SourceLocation EllipsisLoc,
Optional<unsigned> NumExpansions);
/// \brief Invoked when parsing an expression followed by an ellipsis, which
/// creates a pack expansion.
///
/// \param Pattern The expression preceding the ellipsis, which will become
/// the pattern of the pack expansion.
///
/// \param EllipsisLoc The location of the ellipsis.
ExprResult ActOnPackExpansion(Expr *Pattern, SourceLocation EllipsisLoc);
/// \brief Invoked when parsing an expression followed by an ellipsis, which
/// creates a pack expansion.
///
/// \param Pattern The expression preceding the ellipsis, which will become
/// the pattern of the pack expansion.
///
/// \param EllipsisLoc The location of the ellipsis.
ExprResult CheckPackExpansion(Expr *Pattern, SourceLocation EllipsisLoc,
Optional<unsigned> NumExpansions);
/// \brief Determine whether we could expand a pack expansion with the
/// given set of parameter packs into separate arguments by repeatedly
/// transforming the pattern.
///
/// \param EllipsisLoc The location of the ellipsis that identifies the
/// pack expansion.
///
/// \param PatternRange The source range that covers the entire pattern of
/// the pack expansion.
///
/// \param Unexpanded The set of unexpanded parameter packs within the
/// pattern.
///
/// \param ShouldExpand Will be set to \c true if the transformer should
/// expand the corresponding pack expansions into separate arguments. When
/// set, \c NumExpansions must also be set.
///
/// \param RetainExpansion Whether the caller should add an unexpanded
/// pack expansion after all of the expanded arguments. This is used
/// when extending explicitly-specified template argument packs per
/// C++0x [temp.arg.explicit]p9.
///
/// \param NumExpansions The number of separate arguments that will be in
/// the expanded form of the corresponding pack expansion. This is both an
/// input and an output parameter, which can be set by the caller if the
/// number of expansions is known a priori (e.g., due to a prior substitution)
/// and will be set by the callee when the number of expansions is known.
/// The callee must set this value when \c ShouldExpand is \c true; it may
/// set this value in other cases.
///
/// \returns true if an error occurred (e.g., because the parameter packs
/// are to be instantiated with arguments of different lengths), false
/// otherwise. If false, \c ShouldExpand (and possibly \c NumExpansions)
/// must be set.
bool CheckParameterPacksForExpansion(SourceLocation EllipsisLoc,
SourceRange PatternRange,
ArrayRef<UnexpandedParameterPack> Unexpanded,
const MultiLevelTemplateArgumentList &TemplateArgs,
bool &ShouldExpand,
bool &RetainExpansion,
Optional<unsigned> &NumExpansions);
/// \brief Determine the number of arguments in the given pack expansion
/// type.
///
/// This routine assumes that the number of arguments in the expansion is
/// consistent across all of the unexpanded parameter packs in its pattern.
///
/// Returns an empty Optional if the type can't be expanded.
Optional<unsigned> getNumArgumentsInExpansion(QualType T,
const MultiLevelTemplateArgumentList &TemplateArgs);
/// \brief Determine whether the given declarator contains any unexpanded
/// parameter packs.
///
/// This routine is used by the parser to disambiguate function declarators
/// with an ellipsis prior to the ')', e.g.,
///
/// \code
/// void f(T...);
/// \endcode
///
/// To determine whether we have an (unnamed) function parameter pack or
/// a variadic function.
///
/// \returns true if the declarator contains any unexpanded parameter packs,
/// false otherwise.
bool containsUnexpandedParameterPacks(Declarator &D);
/// \brief Returns the pattern of the pack expansion for a template argument.
///
/// \param OrigLoc The template argument to expand.
///
/// \param Ellipsis Will be set to the location of the ellipsis.
///
/// \param NumExpansions Will be set to the number of expansions that will
/// be generated from this pack expansion, if known a priori.
TemplateArgumentLoc getTemplateArgumentPackExpansionPattern(
TemplateArgumentLoc OrigLoc,
SourceLocation &Ellipsis,
Optional<unsigned> &NumExpansions) const;
/// Given a template argument that contains an unexpanded parameter pack, but
/// which has already been substituted, attempt to determine the number of
/// elements that will be produced once this argument is fully-expanded.
///
/// This is intended for use when transforming 'sizeof...(Arg)' in order to
/// avoid actually expanding the pack where possible.
Optional<unsigned> getFullyPackExpandedSize(TemplateArgument Arg);
//===--------------------------------------------------------------------===//
// C++ Template Argument Deduction (C++ [temp.deduct])
//===--------------------------------------------------------------------===//
/// Adjust the type \p ArgFunctionType to match the calling convention,
/// noreturn, and optionally the exception specification of \p FunctionType.
/// Deduction often wants to ignore these properties when matching function
/// types.
QualType adjustCCAndNoReturn(QualType ArgFunctionType, QualType FunctionType,
bool AdjustExceptionSpec = false);
/// \brief Describes the result of template argument deduction.
///
/// The TemplateDeductionResult enumeration describes the result of
/// template argument deduction, as returned from
/// DeduceTemplateArguments(). The separate TemplateDeductionInfo
/// structure provides additional information about the results of
/// template argument deduction, e.g., the deduced template argument
/// list (if successful) or the specific template parameters or
/// deduced arguments that were involved in the failure.
enum TemplateDeductionResult {
/// \brief Template argument deduction was successful.
TDK_Success = 0,
/// \brief The declaration was invalid; do nothing.
TDK_Invalid,
/// \brief Template argument deduction exceeded the maximum template
/// instantiation depth (which has already been diagnosed).
TDK_InstantiationDepth,
/// \brief Template argument deduction did not deduce a value
/// for every template parameter.
TDK_Incomplete,
/// \brief Template argument deduction produced inconsistent
/// deduced values for the given template parameter.
TDK_Inconsistent,
/// \brief Template argument deduction failed due to inconsistent
/// cv-qualifiers on a template parameter type that would
/// otherwise be deduced, e.g., we tried to deduce T in "const T"
/// but were given a non-const "X".
TDK_Underqualified,
/// \brief Substitution of the deduced template argument values
/// resulted in an error.
TDK_SubstitutionFailure,
/// \brief After substituting deduced template arguments, a dependent
/// parameter type did not match the corresponding argument.
TDK_DeducedMismatch,
/// \brief After substituting deduced template arguments, an element of
/// a dependent parameter type did not match the corresponding element
/// of the corresponding argument (when deducing from an initializer list).
TDK_DeducedMismatchNested,
/// \brief A non-depnedent component of the parameter did not match the
/// corresponding component of the argument.
TDK_NonDeducedMismatch,
/// \brief When performing template argument deduction for a function
/// template, there were too many call arguments.
TDK_TooManyArguments,
/// \brief When performing template argument deduction for a function
/// template, there were too few call arguments.
TDK_TooFewArguments,
/// \brief The explicitly-specified template arguments were not valid
/// template arguments for the given template.
TDK_InvalidExplicitArguments,
/// \brief Checking non-dependent argument conversions failed.
TDK_NonDependentConversionFailure,
/// \brief Deduction failed; that's all we know.
TDK_MiscellaneousDeductionFailure,
/// \brief CUDA Target attributes do not match.
TDK_CUDATargetMismatch
};
TemplateDeductionResult
DeduceTemplateArguments(ClassTemplatePartialSpecializationDecl *Partial,
const TemplateArgumentList &TemplateArgs,
sema::TemplateDeductionInfo &Info);
TemplateDeductionResult
DeduceTemplateArguments(VarTemplatePartialSpecializationDecl *Partial,
const TemplateArgumentList &TemplateArgs,
sema::TemplateDeductionInfo &Info);
TemplateDeductionResult SubstituteExplicitTemplateArguments(
FunctionTemplateDecl *FunctionTemplate,
TemplateArgumentListInfo &ExplicitTemplateArgs,
SmallVectorImpl<DeducedTemplateArgument> &Deduced,
SmallVectorImpl<QualType> &ParamTypes, QualType *FunctionType,
sema::TemplateDeductionInfo &Info);
/// brief A function argument from which we performed template argument
// deduction for a call.
struct OriginalCallArg {
OriginalCallArg(QualType OriginalParamType, bool DecomposedParam,
unsigned ArgIdx, QualType OriginalArgType)
: OriginalParamType(OriginalParamType),
DecomposedParam(DecomposedParam), ArgIdx(ArgIdx),
OriginalArgType(OriginalArgType) {}
QualType OriginalParamType;
bool DecomposedParam;
unsigned ArgIdx;
QualType OriginalArgType;
};
TemplateDeductionResult FinishTemplateArgumentDeduction(
FunctionTemplateDecl *FunctionTemplate,
SmallVectorImpl<DeducedTemplateArgument> &Deduced,
unsigned NumExplicitlySpecified, FunctionDecl *&Specialization,
sema::TemplateDeductionInfo &Info,
SmallVectorImpl<OriginalCallArg> const *OriginalCallArgs = nullptr,
bool PartialOverloading = false,
llvm::function_ref<bool()> CheckNonDependent = []{ return false; });
TemplateDeductionResult DeduceTemplateArguments(
FunctionTemplateDecl *FunctionTemplate,
TemplateArgumentListInfo *ExplicitTemplateArgs, ArrayRef<Expr *> Args,
FunctionDecl *&Specialization, sema::TemplateDeductionInfo &Info,
bool PartialOverloading,
llvm::function_ref<bool(ArrayRef<QualType>)> CheckNonDependent);
TemplateDeductionResult
DeduceTemplateArguments(FunctionTemplateDecl *FunctionTemplate,
TemplateArgumentListInfo *ExplicitTemplateArgs,
QualType ArgFunctionType,
FunctionDecl *&Specialization,
sema::TemplateDeductionInfo &Info,
bool IsAddressOfFunction = false);
TemplateDeductionResult
DeduceTemplateArguments(FunctionTemplateDecl *FunctionTemplate,
QualType ToType,
CXXConversionDecl *&Specialization,
sema::TemplateDeductionInfo &Info);
TemplateDeductionResult
DeduceTemplateArguments(FunctionTemplateDecl *FunctionTemplate,
TemplateArgumentListInfo *ExplicitTemplateArgs,
FunctionDecl *&Specialization,
sema::TemplateDeductionInfo &Info,
bool IsAddressOfFunction = false);
/// \brief Substitute Replacement for \p auto in \p TypeWithAuto
QualType SubstAutoType(QualType TypeWithAuto, QualType Replacement);
/// \brief Substitute Replacement for auto in TypeWithAuto
TypeSourceInfo* SubstAutoTypeSourceInfo(TypeSourceInfo *TypeWithAuto,
QualType Replacement);
/// \brief Result type of DeduceAutoType.
enum DeduceAutoResult {
DAR_Succeeded,
DAR_Failed,
DAR_FailedAlreadyDiagnosed
};
DeduceAutoResult
DeduceAutoType(TypeSourceInfo *AutoType, Expr *&Initializer, QualType &Result,
Optional<unsigned> DependentDeductionDepth = None);
DeduceAutoResult
DeduceAutoType(TypeLoc AutoTypeLoc, Expr *&Initializer, QualType &Result,
Optional<unsigned> DependentDeductionDepth = None);
void DiagnoseAutoDeductionFailure(VarDecl *VDecl, Expr *Init);
bool DeduceReturnType(FunctionDecl *FD, SourceLocation Loc,
bool Diagnose = true);
QualType deduceVarTypeFromInitializer(VarDecl *VDecl, DeclarationName Name,
QualType Type, TypeSourceInfo *TSI,
SourceRange Range, bool DirectInit,
Expr *Init);
TypeLoc getReturnTypeLoc(FunctionDecl *FD) const;
bool DeduceFunctionTypeFromReturnExpr(FunctionDecl *FD,
SourceLocation ReturnLoc,
Expr *&RetExpr, AutoType *AT);
FunctionTemplateDecl *getMoreSpecializedTemplate(FunctionTemplateDecl *FT1,
FunctionTemplateDecl *FT2,
SourceLocation Loc,
TemplatePartialOrderingContext TPOC,
unsigned NumCallArguments1,
unsigned NumCallArguments2);
UnresolvedSetIterator
getMostSpecialized(UnresolvedSetIterator SBegin, UnresolvedSetIterator SEnd,
TemplateSpecCandidateSet &FailedCandidates,
SourceLocation Loc,
const PartialDiagnostic &NoneDiag,
const PartialDiagnostic &AmbigDiag,
const PartialDiagnostic &CandidateDiag,
bool Complain = true, QualType TargetType = QualType());
ClassTemplatePartialSpecializationDecl *
getMoreSpecializedPartialSpecialization(
ClassTemplatePartialSpecializationDecl *PS1,
ClassTemplatePartialSpecializationDecl *PS2,
SourceLocation Loc);
bool isMoreSpecializedThanPrimary(ClassTemplatePartialSpecializationDecl *T,
sema::TemplateDeductionInfo &Info);
VarTemplatePartialSpecializationDecl *getMoreSpecializedPartialSpecialization(
VarTemplatePartialSpecializationDecl *PS1,
VarTemplatePartialSpecializationDecl *PS2, SourceLocation Loc);
bool isMoreSpecializedThanPrimary(VarTemplatePartialSpecializationDecl *T,
sema::TemplateDeductionInfo &Info);
bool isTemplateTemplateParameterAtLeastAsSpecializedAs(
TemplateParameterList *P, TemplateDecl *AArg, SourceLocation Loc);
void MarkUsedTemplateParameters(const TemplateArgumentList &TemplateArgs,
bool OnlyDeduced,
unsigned Depth,
llvm::SmallBitVector &Used);
void MarkDeducedTemplateParameters(
const FunctionTemplateDecl *FunctionTemplate,
llvm::SmallBitVector &Deduced) {
return MarkDeducedTemplateParameters(Context, FunctionTemplate, Deduced);
}
static void MarkDeducedTemplateParameters(ASTContext &Ctx,
const FunctionTemplateDecl *FunctionTemplate,
llvm::SmallBitVector &Deduced);
//===--------------------------------------------------------------------===//
// C++ Template Instantiation
//
MultiLevelTemplateArgumentList
getTemplateInstantiationArgs(NamedDecl *D,
const TemplateArgumentList *Innermost = nullptr,
bool RelativeToPrimary = false,
const FunctionDecl *Pattern = nullptr);
/// \brief A template instantiation that is currently in progress.
struct ActiveTemplateInstantiation {
/// \brief The kind of template instantiation we are performing
enum InstantiationKind {
/// We are instantiating a template declaration. The entity is
/// the declaration we're instantiating (e.g., a CXXRecordDecl).
TemplateInstantiation,
/// We are instantiating a default argument for a template
/// parameter. The Entity is the template parameter whose argument is
/// being instantiated, the Template is the template, and the
/// TemplateArgs/NumTemplateArguments provide the template arguments as
/// specified.
DefaultTemplateArgumentInstantiation,
/// We are instantiating a default argument for a function.
/// The Entity is the ParmVarDecl, and TemplateArgs/NumTemplateArgs
/// provides the template arguments as specified.
DefaultFunctionArgumentInstantiation,
/// We are substituting explicit template arguments provided for
/// a function template. The entity is a FunctionTemplateDecl.
ExplicitTemplateArgumentSubstitution,
/// We are substituting template argument determined as part of
/// template argument deduction for either a class template
/// partial specialization or a function template. The
/// Entity is either a {Class|Var}TemplatePartialSpecializationDecl or
/// a TemplateDecl.
DeducedTemplateArgumentSubstitution,
/// We are substituting prior template arguments into a new
/// template parameter. The template parameter itself is either a
/// NonTypeTemplateParmDecl or a TemplateTemplateParmDecl.
PriorTemplateArgumentSubstitution,
/// We are checking the validity of a default template argument that
/// has been used when naming a template-id.
DefaultTemplateArgumentChecking,
/// We are instantiating the exception specification for a function
/// template which was deferred until it was needed.
ExceptionSpecInstantiation
} Kind;
/// \brief The point of instantiation within the source code.
SourceLocation PointOfInstantiation;
/// \brief The template (or partial specialization) in which we are
/// performing the instantiation, for substitutions of prior template
/// arguments.
NamedDecl *Template;
/// \brief The entity that is being instantiated.
Decl *Entity;
/// \brief The list of template arguments we are substituting, if they
/// are not part of the entity.
const TemplateArgument *TemplateArgs;
/// \brief The number of template arguments in TemplateArgs.
unsigned NumTemplateArgs;
ArrayRef<TemplateArgument> template_arguments() const {
return {TemplateArgs, NumTemplateArgs};
}
/// \brief The template deduction info object associated with the
/// substitution or checking of explicit or deduced template arguments.
sema::TemplateDeductionInfo *DeductionInfo;
/// \brief The source range that covers the construct that cause
/// the instantiation, e.g., the template-id that causes a class
/// template instantiation.
SourceRange InstantiationRange;
ActiveTemplateInstantiation()
: Kind(TemplateInstantiation), Template(nullptr), Entity(nullptr),
TemplateArgs(nullptr), NumTemplateArgs(0), DeductionInfo(nullptr) {}
/// \brief Determines whether this template is an actual instantiation
/// that should be counted toward the maximum instantiation depth.
bool isInstantiationRecord() const;
friend bool operator==(const ActiveTemplateInstantiation &X,
const ActiveTemplateInstantiation &Y) {
if (X.Kind != Y.Kind)
return false;
if (X.Entity != Y.Entity)
return false;
switch (X.Kind) {
case TemplateInstantiation:
case ExceptionSpecInstantiation:
return true;
case PriorTemplateArgumentSubstitution:
case DefaultTemplateArgumentChecking:
return X.Template == Y.Template && X.TemplateArgs == Y.TemplateArgs;
case DefaultTemplateArgumentInstantiation:
case ExplicitTemplateArgumentSubstitution:
case DeducedTemplateArgumentSubstitution:
case DefaultFunctionArgumentInstantiation:
return X.TemplateArgs == Y.TemplateArgs;
}
llvm_unreachable("Invalid InstantiationKind!");
}
friend bool operator!=(const ActiveTemplateInstantiation &X,
const ActiveTemplateInstantiation &Y) {
return !(X == Y);
}
};
/// \brief List of active template instantiations.
///
/// This vector is treated as a stack. As one template instantiation
/// requires another template instantiation, additional
/// instantiations are pushed onto the stack up to a
/// user-configurable limit LangOptions::InstantiationDepth.
SmallVector<ActiveTemplateInstantiation, 16>
ActiveTemplateInstantiations;
/// Specializations whose definitions are currently being instantiated.
llvm::DenseSet<std::pair<Decl *, unsigned>> InstantiatingSpecializations;
/// Non-dependent types used in templates that have already been instantiated
/// by some template instantiation.
llvm::DenseSet<QualType> InstantiatedNonDependentTypes;
/// \brief Extra modules inspected when performing a lookup during a template
/// instantiation. Computed lazily.
SmallVector<Module*, 16> ActiveTemplateInstantiationLookupModules;
/// \brief Cache of additional modules that should be used for name lookup
/// within the current template instantiation. Computed lazily; use
/// getLookupModules() to get a complete set.
llvm::DenseSet<Module*> LookupModulesCache;
/// \brief Get the set of additional modules that should be checked during
/// name lookup. A module and its imports become visible when instanting a
/// template defined within it.
llvm::DenseSet<Module*> &getLookupModules();
/// \brief Map from the most recent declaration of a namespace to the most
/// recent visible declaration of that namespace.
llvm::DenseMap<NamedDecl*, NamedDecl*> VisibleNamespaceCache;
/// \brief Whether we are in a SFINAE context that is not associated with
/// template instantiation.
///
/// This is used when setting up a SFINAE trap (\c see SFINAETrap) outside
/// of a template instantiation or template argument deduction.
bool InNonInstantiationSFINAEContext;
/// \brief The number of ActiveTemplateInstantiation entries in
/// \c ActiveTemplateInstantiations that are not actual instantiations and,
/// therefore, should not be counted as part of the instantiation depth.
unsigned NonInstantiationEntries;
/// \brief The last template from which a template instantiation
/// error or warning was produced.
///
/// This value is used to suppress printing of redundant template
/// instantiation backtraces when there are multiple errors in the
/// same instantiation. FIXME: Does this belong in Sema? It's tough
/// to implement it anywhere else.
ActiveTemplateInstantiation LastTemplateInstantiationErrorContext;
/// \brief The current index into pack expansion arguments that will be
/// used for substitution of parameter packs.
///
/// The pack expansion index will be -1 to indicate that parameter packs
/// should be instantiated as themselves. Otherwise, the index specifies
/// which argument within the parameter pack will be used for substitution.
int ArgumentPackSubstitutionIndex;
/// \brief RAII object used to change the argument pack substitution index
/// within a \c Sema object.
///
/// See \c ArgumentPackSubstitutionIndex for more information.
class ArgumentPackSubstitutionIndexRAII {
Sema &Self;
int OldSubstitutionIndex;
public:
ArgumentPackSubstitutionIndexRAII(Sema &Self, int NewSubstitutionIndex)
: Self(Self), OldSubstitutionIndex(Self.ArgumentPackSubstitutionIndex) {
Self.ArgumentPackSubstitutionIndex = NewSubstitutionIndex;
}
~ArgumentPackSubstitutionIndexRAII() {
Self.ArgumentPackSubstitutionIndex = OldSubstitutionIndex;
}
};
friend class ArgumentPackSubstitutionRAII;
/// \brief For each declaration that involved template argument deduction, the
/// set of diagnostics that were suppressed during that template argument
/// deduction.
///
/// FIXME: Serialize this structure to the AST file.
typedef llvm::DenseMap<Decl *, SmallVector<PartialDiagnosticAt, 1> >
SuppressedDiagnosticsMap;
SuppressedDiagnosticsMap SuppressedDiagnostics;
/// \brief A stack object to be created when performing template
/// instantiation.
///
/// Construction of an object of type \c InstantiatingTemplate
/// pushes the current instantiation onto the stack of active
/// instantiations. If the size of this stack exceeds the maximum
/// number of recursive template instantiations, construction
/// produces an error and evaluates true.
///
/// Destruction of this object will pop the named instantiation off
/// the stack.
struct InstantiatingTemplate {
/// \brief Note that we are instantiating a class template,
/// function template, variable template, alias template,
/// or a member thereof.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
Decl *Entity,
SourceRange InstantiationRange = SourceRange());
struct ExceptionSpecification {};
/// \brief Note that we are instantiating an exception specification
/// of a function template.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
FunctionDecl *Entity, ExceptionSpecification,
SourceRange InstantiationRange = SourceRange());
/// \brief Note that we are instantiating a default argument in a
/// template-id.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
TemplateParameter Param, TemplateDecl *Template,
ArrayRef<TemplateArgument> TemplateArgs,
SourceRange InstantiationRange = SourceRange());
/// \brief Note that we are substituting either explicitly-specified or
/// deduced template arguments during function template argument deduction.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
FunctionTemplateDecl *FunctionTemplate,
ArrayRef<TemplateArgument> TemplateArgs,
ActiveTemplateInstantiation::InstantiationKind Kind,
sema::TemplateDeductionInfo &DeductionInfo,
SourceRange InstantiationRange = SourceRange());
/// \brief Note that we are instantiating as part of template
/// argument deduction for a class template declaration.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
TemplateDecl *Template,
ArrayRef<TemplateArgument> TemplateArgs,
sema::TemplateDeductionInfo &DeductionInfo,
SourceRange InstantiationRange = SourceRange());
/// \brief Note that we are instantiating as part of template
/// argument deduction for a class template partial
/// specialization.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
ClassTemplatePartialSpecializationDecl *PartialSpec,
ArrayRef<TemplateArgument> TemplateArgs,
sema::TemplateDeductionInfo &DeductionInfo,
SourceRange InstantiationRange = SourceRange());
/// \brief Note that we are instantiating as part of template
/// argument deduction for a variable template partial
/// specialization.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
VarTemplatePartialSpecializationDecl *PartialSpec,
ArrayRef<TemplateArgument> TemplateArgs,
sema::TemplateDeductionInfo &DeductionInfo,
SourceRange InstantiationRange = SourceRange());
/// \brief Note that we are instantiating a default argument for a function
/// parameter.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
ParmVarDecl *Param,
ArrayRef<TemplateArgument> TemplateArgs,
SourceRange InstantiationRange = SourceRange());
/// \brief Note that we are substituting prior template arguments into a
/// non-type parameter.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
NamedDecl *Template,
NonTypeTemplateParmDecl *Param,
ArrayRef<TemplateArgument> TemplateArgs,
SourceRange InstantiationRange);
/// \brief Note that we are substituting prior template arguments into a
/// template template parameter.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
NamedDecl *Template,
TemplateTemplateParmDecl *Param,
ArrayRef<TemplateArgument> TemplateArgs,
SourceRange InstantiationRange);
/// \brief Note that we are checking the default template argument
/// against the template parameter for a given template-id.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
TemplateDecl *Template,
NamedDecl *Param,
ArrayRef<TemplateArgument> TemplateArgs,
SourceRange InstantiationRange);
/// \brief Note that we have finished instantiating this template.
void Clear();
~InstantiatingTemplate() { Clear(); }
/// \brief Determines whether we have exceeded the maximum
/// recursive template instantiations.
bool isInvalid() const { return Invalid; }
/// \brief Determine whether we are already instantiating this
/// specialization in some surrounding active instantiation.
bool isAlreadyInstantiating() const { return AlreadyInstantiating; }
private:
Sema &SemaRef;
bool Invalid;
bool AlreadyInstantiating;
bool SavedInNonInstantiationSFINAEContext;
bool CheckInstantiationDepth(SourceLocation PointOfInstantiation,
SourceRange InstantiationRange);
InstantiatingTemplate(
Sema &SemaRef, ActiveTemplateInstantiation::InstantiationKind Kind,
SourceLocation PointOfInstantiation, SourceRange InstantiationRange,
Decl *Entity, NamedDecl *Template = nullptr,
ArrayRef<TemplateArgument> TemplateArgs = None,
sema::TemplateDeductionInfo *DeductionInfo = nullptr);
InstantiatingTemplate(const InstantiatingTemplate&) = delete;
InstantiatingTemplate&
operator=(const InstantiatingTemplate&) = delete;
};
void PrintInstantiationStack();
void PrintPragmaAttributeInstantiationPoint();
/// \brief Determines whether we are currently in a context where
/// template argument substitution failures are not considered
/// errors.
///
/// \returns An empty \c Optional if we're not in a SFINAE context.
/// Otherwise, contains a pointer that, if non-NULL, contains the nearest
/// template-deduction context object, which can be used to capture
/// diagnostics that will be suppressed.
Optional<sema::TemplateDeductionInfo *> isSFINAEContext() const;
/// \brief Determines whether we are currently in a context that
/// is not evaluated as per C++ [expr] p5.
bool isUnevaluatedContext() const {
assert(!ExprEvalContexts.empty() &&
"Must be in an expression evaluation context");
return ExprEvalContexts.back().isUnevaluated();
}
/// \brief RAII class used to determine whether SFINAE has
/// trapped any errors that occur during template argument
/// deduction.
class SFINAETrap {
Sema &SemaRef;
unsigned PrevSFINAEErrors;
bool PrevInNonInstantiationSFINAEContext;
bool PrevAccessCheckingSFINAE;
public:
explicit SFINAETrap(Sema &SemaRef, bool AccessCheckingSFINAE = false)
: SemaRef(SemaRef), PrevSFINAEErrors(SemaRef.NumSFINAEErrors),
PrevInNonInstantiationSFINAEContext(
SemaRef.InNonInstantiationSFINAEContext),
PrevAccessCheckingSFINAE(SemaRef.AccessCheckingSFINAE)
{
if (!SemaRef.isSFINAEContext())
SemaRef.InNonInstantiationSFINAEContext = true;
SemaRef.AccessCheckingSFINAE = AccessCheckingSFINAE;
}
~SFINAETrap() {
SemaRef.NumSFINAEErrors = PrevSFINAEErrors;
SemaRef.InNonInstantiationSFINAEContext
= PrevInNonInstantiationSFINAEContext;
SemaRef.AccessCheckingSFINAE = PrevAccessCheckingSFINAE;
}
/// \brief Determine whether any SFINAE errors have been trapped.
bool hasErrorOccurred() const {
return SemaRef.NumSFINAEErrors > PrevSFINAEErrors;
}
};
/// \brief RAII class used to indicate that we are performing provisional
/// semantic analysis to determine the validity of a construct, so
/// typo-correction and diagnostics in the immediate context (not within
/// implicitly-instantiated templates) should be suppressed.
class TentativeAnalysisScope {
Sema &SemaRef;
// FIXME: Using a SFINAETrap for this is a hack.
SFINAETrap Trap;
bool PrevDisableTypoCorrection;
public:
explicit TentativeAnalysisScope(Sema &SemaRef)
: SemaRef(SemaRef), Trap(SemaRef, true),
PrevDisableTypoCorrection(SemaRef.DisableTypoCorrection) {
SemaRef.DisableTypoCorrection = true;
}
~TentativeAnalysisScope() {
SemaRef.DisableTypoCorrection = PrevDisableTypoCorrection;
}
};
/// \brief The current instantiation scope used to store local
/// variables.
LocalInstantiationScope *CurrentInstantiationScope;
/// \brief Tracks whether we are in a context where typo correction is
/// disabled.
bool DisableTypoCorrection;
/// \brief The number of typos corrected by CorrectTypo.
unsigned TyposCorrected;
typedef llvm::SmallSet<SourceLocation, 2> SrcLocSet;
typedef llvm::DenseMap<IdentifierInfo *, SrcLocSet> IdentifierSourceLocations;
/// \brief A cache containing identifiers for which typo correction failed and
/// their locations, so that repeated attempts to correct an identifier in a
/// given location are ignored if typo correction already failed for it.
IdentifierSourceLocations TypoCorrectionFailures;
/// \brief Worker object for performing CFG-based warnings.
sema::AnalysisBasedWarnings AnalysisWarnings;
threadSafety::BeforeSet *ThreadSafetyDeclCache;
/// \brief An entity for which implicit template instantiation is required.
///
/// The source location associated with the declaration is the first place in
/// the source code where the declaration was "used". It is not necessarily
/// the point of instantiation (which will be either before or after the
/// namespace-scope declaration that triggered this implicit instantiation),
/// However, it is the location that diagnostics should generally refer to,
/// because users will need to know what code triggered the instantiation.
typedef std::pair<ValueDecl *, SourceLocation> PendingImplicitInstantiation;
/// \brief The queue of implicit template instantiations that are required
/// but have not yet been performed.
std::deque<PendingImplicitInstantiation> PendingInstantiations;
class SavePendingInstantiationsAndVTableUsesRAII {
public:
SavePendingInstantiationsAndVTableUsesRAII(Sema &S, bool Enabled)
: S(S), Enabled(Enabled) {
if (!Enabled) return;
SavedPendingInstantiations.swap(S.PendingInstantiations);
SavedVTableUses.swap(S.VTableUses);
}
~SavePendingInstantiationsAndVTableUsesRAII() {
if (!Enabled) return;
// Restore the set of pending vtables.
assert(S.VTableUses.empty() &&
"VTableUses should be empty before it is discarded.");
S.VTableUses.swap(SavedVTableUses);
// Restore the set of pending implicit instantiations.
assert(S.PendingInstantiations.empty() &&
"PendingInstantiations should be empty before it is discarded.");
S.PendingInstantiations.swap(SavedPendingInstantiations);
}
private:
Sema &S;
SmallVector<VTableUse, 16> SavedVTableUses;
std::deque<PendingImplicitInstantiation> SavedPendingInstantiations;
bool Enabled;
};
/// \brief The queue of implicit template instantiations that are required
/// and must be performed within the current local scope.
///
/// This queue is only used for member functions of local classes in
/// templates, which must be instantiated in the same scope as their
/// enclosing function, so that they can reference function-local
/// types, static variables, enumerators, etc.
std::deque<PendingImplicitInstantiation> PendingLocalImplicitInstantiations;
class SavePendingLocalImplicitInstantiationsRAII {
public:
SavePendingLocalImplicitInstantiationsRAII(Sema &S): S(S) {
SavedPendingLocalImplicitInstantiations.swap(
S.PendingLocalImplicitInstantiations);
}
~SavePendingLocalImplicitInstantiationsRAII() {
assert(S.PendingLocalImplicitInstantiations.empty() &&
"there shouldn't be any pending local implicit instantiations");
SavedPendingLocalImplicitInstantiations.swap(
S.PendingLocalImplicitInstantiations);
}
private:
Sema &S;
std::deque<PendingImplicitInstantiation>
SavedPendingLocalImplicitInstantiations;
};
/// A helper class for building up ExtParameterInfos.
class ExtParameterInfoBuilder {
SmallVector<FunctionProtoType::ExtParameterInfo, 16> Infos;
bool HasInteresting = false;
public:
/// Set the ExtParameterInfo for the parameter at the given index,
///
void set(unsigned index, FunctionProtoType::ExtParameterInfo info) {
assert(Infos.size() <= index);
Infos.resize(index);
Infos.push_back(info);
if (!HasInteresting)
HasInteresting = (info != FunctionProtoType::ExtParameterInfo());
}
/// Return a pointer (suitable for setting in an ExtProtoInfo) to the
/// ExtParameterInfo array we've built up.
const FunctionProtoType::ExtParameterInfo *
getPointerOrNull(unsigned numParams) {
if (!HasInteresting) return nullptr;
Infos.resize(numParams);
return Infos.data();
}
};
void PerformPendingInstantiations(bool LocalOnly = false);
TypeSourceInfo *SubstType(TypeSourceInfo *T,
const MultiLevelTemplateArgumentList &TemplateArgs,
SourceLocation Loc, DeclarationName Entity);
QualType SubstType(QualType T,
const MultiLevelTemplateArgumentList &TemplateArgs,
SourceLocation Loc, DeclarationName Entity);
TypeSourceInfo *SubstType(TypeLoc TL,
const MultiLevelTemplateArgumentList &TemplateArgs,
SourceLocation Loc, DeclarationName Entity);
TypeSourceInfo *SubstFunctionDeclType(TypeSourceInfo *T,
const MultiLevelTemplateArgumentList &TemplateArgs,
SourceLocation Loc,
DeclarationName Entity,
CXXRecordDecl *ThisContext,
unsigned ThisTypeQuals);
void SubstExceptionSpec(FunctionDecl *New, const FunctionProtoType *Proto,
const MultiLevelTemplateArgumentList &Args);
ParmVarDecl *SubstParmVarDecl(ParmVarDecl *D,
const MultiLevelTemplateArgumentList &TemplateArgs,
int indexAdjustment,
Optional<unsigned> NumExpansions,
bool ExpectParameterPack);
bool SubstParmTypes(SourceLocation Loc, ArrayRef<ParmVarDecl *> Params,
const FunctionProtoType::ExtParameterInfo *ExtParamInfos,
const MultiLevelTemplateArgumentList &TemplateArgs,
SmallVectorImpl<QualType> &ParamTypes,
SmallVectorImpl<ParmVarDecl *> *OutParams,
ExtParameterInfoBuilder &ParamInfos);
ExprResult SubstExpr(Expr *E,
const MultiLevelTemplateArgumentList &TemplateArgs);
/// \brief Substitute the given template arguments into a list of
/// expressions, expanding pack expansions if required.
///
/// \param Exprs The list of expressions to substitute into.
///
/// \param IsCall Whether this is some form of call, in which case
/// default arguments will be dropped.
///
/// \param TemplateArgs The set of template arguments to substitute.
///
/// \param Outputs Will receive all of the substituted arguments.
///
/// \returns true if an error occurred, false otherwise.
bool SubstExprs(ArrayRef<Expr *> Exprs, bool IsCall,
const MultiLevelTemplateArgumentList &TemplateArgs,
SmallVectorImpl<Expr *> &Outputs);
StmtResult SubstStmt(Stmt *S,
const MultiLevelTemplateArgumentList &TemplateArgs);
Decl *SubstDecl(Decl *D, DeclContext *Owner,
const MultiLevelTemplateArgumentList &TemplateArgs);
ExprResult SubstInitializer(Expr *E,
const MultiLevelTemplateArgumentList &TemplateArgs,
bool CXXDirectInit);
bool
SubstBaseSpecifiers(CXXRecordDecl *Instantiation,
CXXRecordDecl *Pattern,
const MultiLevelTemplateArgumentList &TemplateArgs);
bool
InstantiateClass(SourceLocation PointOfInstantiation,
CXXRecordDecl *Instantiation, CXXRecordDecl *Pattern,
const MultiLevelTemplateArgumentList &TemplateArgs,
TemplateSpecializationKind TSK,
bool Complain = true);
bool InstantiateEnum(SourceLocation PointOfInstantiation,
EnumDecl *Instantiation, EnumDecl *Pattern,
const MultiLevelTemplateArgumentList &TemplateArgs,
TemplateSpecializationKind TSK);
bool InstantiateInClassInitializer(
SourceLocation PointOfInstantiation, FieldDecl *Instantiation,
FieldDecl *Pattern, const MultiLevelTemplateArgumentList &TemplateArgs);
struct LateInstantiatedAttribute {
const Attr *TmplAttr;
LocalInstantiationScope *Scope;
Decl *NewDecl;
LateInstantiatedAttribute(const Attr *A, LocalInstantiationScope *S,
Decl *D)
: TmplAttr(A), Scope(S), NewDecl(D)
{ }
};
typedef SmallVector<LateInstantiatedAttribute, 16> LateInstantiatedAttrVec;
void InstantiateAttrs(const MultiLevelTemplateArgumentList &TemplateArgs,
const Decl *Pattern, Decl *Inst,
LateInstantiatedAttrVec *LateAttrs = nullptr,
LocalInstantiationScope *OuterMostScope = nullptr);
void
InstantiateAttrsForDecl(const MultiLevelTemplateArgumentList &TemplateArgs,
const Decl *Pattern, Decl *Inst,
LateInstantiatedAttrVec *LateAttrs = nullptr,
LocalInstantiationScope *OuterMostScope = nullptr);
bool
InstantiateClassTemplateSpecialization(SourceLocation PointOfInstantiation,
ClassTemplateSpecializationDecl *ClassTemplateSpec,
TemplateSpecializationKind TSK,
bool Complain = true);
void InstantiateClassMembers(SourceLocation PointOfInstantiation,
CXXRecordDecl *Instantiation,
const MultiLevelTemplateArgumentList &TemplateArgs,
TemplateSpecializationKind TSK);
void InstantiateClassTemplateSpecializationMembers(
SourceLocation PointOfInstantiation,
ClassTemplateSpecializationDecl *ClassTemplateSpec,
TemplateSpecializationKind TSK);
NestedNameSpecifierLoc
SubstNestedNameSpecifierLoc(NestedNameSpecifierLoc NNS,
const MultiLevelTemplateArgumentList &TemplateArgs);
DeclarationNameInfo
SubstDeclarationNameInfo(const DeclarationNameInfo &NameInfo,
const MultiLevelTemplateArgumentList &TemplateArgs);
TemplateName
SubstTemplateName(NestedNameSpecifierLoc QualifierLoc, TemplateName Name,
SourceLocation Loc,
const MultiLevelTemplateArgumentList &TemplateArgs);
bool Subst(const TemplateArgumentLoc *Args, unsigned NumArgs,
TemplateArgumentListInfo &Result,
const MultiLevelTemplateArgumentList &TemplateArgs);
void InstantiateExceptionSpec(SourceLocation PointOfInstantiation,
FunctionDecl *Function);
void InstantiateFunctionDefinition(SourceLocation PointOfInstantiation,
FunctionDecl *Function,
bool Recursive = false,
bool DefinitionRequired = false,
bool AtEndOfTU = false);
VarTemplateSpecializationDecl *BuildVarTemplateInstantiation(
VarTemplateDecl *VarTemplate, VarDecl *FromVar,
const TemplateArgumentList &TemplateArgList,
const TemplateArgumentListInfo &TemplateArgsInfo,
SmallVectorImpl<TemplateArgument> &Converted,
SourceLocation PointOfInstantiation, void *InsertPos,
LateInstantiatedAttrVec *LateAttrs = nullptr,
LocalInstantiationScope *StartingScope = nullptr);
VarTemplateSpecializationDecl *CompleteVarTemplateSpecializationDecl(
VarTemplateSpecializationDecl *VarSpec, VarDecl *PatternDecl,
const MultiLevelTemplateArgumentList &TemplateArgs);
void
BuildVariableInstantiation(VarDecl *NewVar, VarDecl *OldVar,
const MultiLevelTemplateArgumentList &TemplateArgs,
LateInstantiatedAttrVec *LateAttrs,
DeclContext *Owner,
LocalInstantiationScope *StartingScope,
bool InstantiatingVarTemplate = false);
void InstantiateVariableInitializer(
VarDecl *Var, VarDecl *OldVar,
const MultiLevelTemplateArgumentList &TemplateArgs);
void InstantiateVariableDefinition(SourceLocation PointOfInstantiation,
VarDecl *Var, bool Recursive = false,
bool DefinitionRequired = false,
bool AtEndOfTU = false);
void InstantiateStaticDataMemberDefinition(
SourceLocation PointOfInstantiation,
VarDecl *Var,
bool Recursive = false,
bool DefinitionRequired = false);
void InstantiateMemInitializers(CXXConstructorDecl *New,
const CXXConstructorDecl *Tmpl,
const MultiLevelTemplateArgumentList &TemplateArgs);
NamedDecl *FindInstantiatedDecl(SourceLocation Loc, NamedDecl *D,
const MultiLevelTemplateArgumentList &TemplateArgs);
DeclContext *FindInstantiatedContext(SourceLocation Loc, DeclContext *DC,
const MultiLevelTemplateArgumentList &TemplateArgs);
// Objective-C declarations.
enum ObjCContainerKind {
OCK_None = -1,
OCK_Interface = 0,
OCK_Protocol,
OCK_Category,
OCK_ClassExtension,
OCK_Implementation,
OCK_CategoryImplementation
};
ObjCContainerKind getObjCContainerKind() const;
DeclResult actOnObjCTypeParam(Scope *S,
ObjCTypeParamVariance variance,
SourceLocation varianceLoc,
unsigned index,
IdentifierInfo *paramName,
SourceLocation paramLoc,
SourceLocation colonLoc,
ParsedType typeBound);
ObjCTypeParamList *actOnObjCTypeParamList(Scope *S, SourceLocation lAngleLoc,
ArrayRef<Decl *> typeParams,
SourceLocation rAngleLoc);
void popObjCTypeParamList(Scope *S, ObjCTypeParamList *typeParamList);
Decl *ActOnStartClassInterface(Scope *S,
SourceLocation AtInterfaceLoc,
IdentifierInfo *ClassName,
SourceLocation ClassLoc,
ObjCTypeParamList *typeParamList,
IdentifierInfo *SuperName,
SourceLocation SuperLoc,
ArrayRef<ParsedType> SuperTypeArgs,
SourceRange SuperTypeArgsRange,
Decl * const *ProtoRefs,
unsigned NumProtoRefs,
const SourceLocation *ProtoLocs,
SourceLocation EndProtoLoc,
AttributeList *AttrList);
void ActOnSuperClassOfClassInterface(Scope *S,
SourceLocation AtInterfaceLoc,
ObjCInterfaceDecl *IDecl,
IdentifierInfo *ClassName,
SourceLocation ClassLoc,
IdentifierInfo *SuperName,
SourceLocation SuperLoc,
ArrayRef<ParsedType> SuperTypeArgs,
SourceRange SuperTypeArgsRange);
void ActOnTypedefedProtocols(SmallVectorImpl<Decl *> &ProtocolRefs,
SmallVectorImpl<SourceLocation> &ProtocolLocs,
IdentifierInfo *SuperName,
SourceLocation SuperLoc);
Decl *ActOnCompatibilityAlias(
SourceLocation AtCompatibilityAliasLoc,
IdentifierInfo *AliasName, SourceLocation AliasLocation,
IdentifierInfo *ClassName, SourceLocation ClassLocation);
bool CheckForwardProtocolDeclarationForCircularDependency(
IdentifierInfo *PName,
SourceLocation &PLoc, SourceLocation PrevLoc,
const ObjCList<ObjCProtocolDecl> &PList);
Decl *ActOnStartProtocolInterface(
SourceLocation AtProtoInterfaceLoc,
IdentifierInfo *ProtocolName, SourceLocation ProtocolLoc,
Decl * const *ProtoRefNames, unsigned NumProtoRefs,
const SourceLocation *ProtoLocs,
SourceLocation EndProtoLoc,
AttributeList *AttrList);
Decl *ActOnStartCategoryInterface(SourceLocation AtInterfaceLoc,
IdentifierInfo *ClassName,
SourceLocation ClassLoc,
ObjCTypeParamList *typeParamList,
IdentifierInfo *CategoryName,
SourceLocation CategoryLoc,
Decl * const *ProtoRefs,
unsigned NumProtoRefs,
const SourceLocation *ProtoLocs,
SourceLocation EndProtoLoc,
AttributeList *AttrList);
Decl *ActOnStartClassImplementation(
SourceLocation AtClassImplLoc,
IdentifierInfo *ClassName, SourceLocation ClassLoc,
IdentifierInfo *SuperClassname,
SourceLocation SuperClassLoc);
Decl *ActOnStartCategoryImplementation(SourceLocation AtCatImplLoc,
IdentifierInfo *ClassName,
SourceLocation ClassLoc,
IdentifierInfo *CatName,
SourceLocation CatLoc);
DeclGroupPtrTy ActOnFinishObjCImplementation(Decl *ObjCImpDecl,
ArrayRef<Decl *> Decls);
DeclGroupPtrTy ActOnForwardClassDeclaration(SourceLocation Loc,
IdentifierInfo **IdentList,
SourceLocation *IdentLocs,
ArrayRef<ObjCTypeParamList *> TypeParamLists,
unsigned NumElts);
DeclGroupPtrTy ActOnForwardProtocolDeclaration(SourceLocation AtProtoclLoc,
ArrayRef<IdentifierLocPair> IdentList,
AttributeList *attrList);
void FindProtocolDeclaration(bool WarnOnDeclarations, bool ForObjCContainer,
ArrayRef<IdentifierLocPair> ProtocolId,
SmallVectorImpl<Decl *> &Protocols);
void DiagnoseTypeArgsAndProtocols(IdentifierInfo *ProtocolId,
SourceLocation ProtocolLoc,
IdentifierInfo *TypeArgId,
SourceLocation TypeArgLoc,
bool SelectProtocolFirst = false);
/// Given a list of identifiers (and their locations), resolve the
/// names to either Objective-C protocol qualifiers or type
/// arguments, as appropriate.
void actOnObjCTypeArgsOrProtocolQualifiers(
Scope *S,
ParsedType baseType,
SourceLocation lAngleLoc,
ArrayRef<IdentifierInfo *> identifiers,
ArrayRef<SourceLocation> identifierLocs,
SourceLocation rAngleLoc,
SourceLocation &typeArgsLAngleLoc,
SmallVectorImpl<ParsedType> &typeArgs,
SourceLocation &typeArgsRAngleLoc,
SourceLocation &protocolLAngleLoc,
SmallVectorImpl<Decl *> &protocols,
SourceLocation &protocolRAngleLoc,
bool warnOnIncompleteProtocols);
/// Build a an Objective-C protocol-qualified 'id' type where no
/// base type was specified.
TypeResult actOnObjCProtocolQualifierType(
SourceLocation lAngleLoc,
ArrayRef<Decl *> protocols,
ArrayRef<SourceLocation> protocolLocs,
SourceLocation rAngleLoc);
/// Build a specialized and/or protocol-qualified Objective-C type.
TypeResult actOnObjCTypeArgsAndProtocolQualifiers(
Scope *S,
SourceLocation Loc,
ParsedType BaseType,
SourceLocation TypeArgsLAngleLoc,
ArrayRef<ParsedType> TypeArgs,
SourceLocation TypeArgsRAngleLoc,
SourceLocation ProtocolLAngleLoc,
ArrayRef<Decl *> Protocols,
ArrayRef<SourceLocation> ProtocolLocs,
SourceLocation ProtocolRAngleLoc);
/// Build an Objective-C type parameter type.
QualType BuildObjCTypeParamType(const ObjCTypeParamDecl *Decl,
SourceLocation ProtocolLAngleLoc,
ArrayRef<ObjCProtocolDecl *> Protocols,
ArrayRef<SourceLocation> ProtocolLocs,
SourceLocation ProtocolRAngleLoc,
bool FailOnError = false);
/// Build an Objective-C object pointer type.
QualType BuildObjCObjectType(QualType BaseType,
SourceLocation Loc,
SourceLocation TypeArgsLAngleLoc,
ArrayRef<TypeSourceInfo *> TypeArgs,
SourceLocation TypeArgsRAngleLoc,
SourceLocation ProtocolLAngleLoc,
ArrayRef<ObjCProtocolDecl *> Protocols,
ArrayRef<SourceLocation> ProtocolLocs,
SourceLocation ProtocolRAngleLoc,
bool FailOnError = false);
/// Check the application of the Objective-C '__kindof' qualifier to
/// the given type.
bool checkObjCKindOfType(QualType &type, SourceLocation loc);
/// Ensure attributes are consistent with type.
/// \param [in, out] Attributes The attributes to check; they will
/// be modified to be consistent with \p PropertyTy.
void CheckObjCPropertyAttributes(Decl *PropertyPtrTy,
SourceLocation Loc,
unsigned &Attributes,
bool propertyInPrimaryClass);
/// Process the specified property declaration and create decls for the
/// setters and getters as needed.
/// \param property The property declaration being processed
void ProcessPropertyDecl(ObjCPropertyDecl *property);
void DiagnosePropertyMismatch(ObjCPropertyDecl *Property,
ObjCPropertyDecl *SuperProperty,
const IdentifierInfo *Name,
bool OverridingProtocolProperty);
void DiagnoseClassExtensionDupMethods(ObjCCategoryDecl *CAT,
ObjCInterfaceDecl *ID);
Decl *ActOnAtEnd(Scope *S, SourceRange AtEnd,
ArrayRef<Decl *> allMethods = None,
ArrayRef<DeclGroupPtrTy> allTUVars = None);
Decl *ActOnProperty(Scope *S, SourceLocation AtLoc,
SourceLocation LParenLoc,
FieldDeclarator &FD, ObjCDeclSpec &ODS,
Selector GetterSel, Selector SetterSel,
tok::ObjCKeywordKind MethodImplKind,
DeclContext *lexicalDC = nullptr);
Decl *ActOnPropertyImplDecl(Scope *S,
SourceLocation AtLoc,
SourceLocation PropertyLoc,
bool ImplKind,
IdentifierInfo *PropertyId,
IdentifierInfo *PropertyIvar,
SourceLocation PropertyIvarLoc,
ObjCPropertyQueryKind QueryKind);
enum ObjCSpecialMethodKind {
OSMK_None,
OSMK_Alloc,
OSMK_New,
OSMK_Copy,
OSMK_RetainingInit,
OSMK_NonRetainingInit
};
struct ObjCArgInfo {
IdentifierInfo *Name;
SourceLocation NameLoc;
// The Type is null if no type was specified, and the DeclSpec is invalid
// in this case.
ParsedType Type;
ObjCDeclSpec DeclSpec;
/// ArgAttrs - Attribute list for this argument.
AttributeList *ArgAttrs;
};
Decl *ActOnMethodDeclaration(
Scope *S,
SourceLocation BeginLoc, // location of the + or -.
SourceLocation EndLoc, // location of the ; or {.
tok::TokenKind MethodType,
ObjCDeclSpec &ReturnQT, ParsedType ReturnType,
ArrayRef<SourceLocation> SelectorLocs, Selector Sel,
// optional arguments. The number of types/arguments is obtained
// from the Sel.getNumArgs().
ObjCArgInfo *ArgInfo,
DeclaratorChunk::ParamInfo *CParamInfo, unsigned CNumArgs, // c-style args
AttributeList *AttrList, tok::ObjCKeywordKind MethodImplKind,
bool isVariadic, bool MethodDefinition);
ObjCMethodDecl *LookupMethodInQualifiedType(Selector Sel,
const ObjCObjectPointerType *OPT,
bool IsInstance);
ObjCMethodDecl *LookupMethodInObjectType(Selector Sel, QualType Ty,
bool IsInstance);
bool CheckARCMethodDecl(ObjCMethodDecl *method);
bool inferObjCARCLifetime(ValueDecl *decl);
ExprResult
HandleExprPropertyRefExpr(const ObjCObjectPointerType *OPT,
Expr *BaseExpr,
SourceLocation OpLoc,
DeclarationName MemberName,
SourceLocation MemberLoc,
SourceLocation SuperLoc, QualType SuperType,
bool Super);
ExprResult
ActOnClassPropertyRefExpr(IdentifierInfo &receiverName,
IdentifierInfo &propertyName,
SourceLocation receiverNameLoc,
SourceLocation propertyNameLoc);
ObjCMethodDecl *tryCaptureObjCSelf(SourceLocation Loc);
/// \brief Describes the kind of message expression indicated by a message
/// send that starts with an identifier.
enum ObjCMessageKind {
/// \brief The message is sent to 'super'.
ObjCSuperMessage,
/// \brief The message is an instance message.
ObjCInstanceMessage,
/// \brief The message is a class message, and the identifier is a type
/// name.
ObjCClassMessage
};
ObjCMessageKind getObjCMessageKind(Scope *S,
IdentifierInfo *Name,
SourceLocation NameLoc,
bool IsSuper,
bool HasTrailingDot,
ParsedType &ReceiverType);
ExprResult ActOnSuperMessage(Scope *S, SourceLocation SuperLoc,
Selector Sel,
SourceLocation LBracLoc,
ArrayRef<SourceLocation> SelectorLocs,
SourceLocation RBracLoc,
MultiExprArg Args);
ExprResult BuildClassMessage(TypeSourceInfo *ReceiverTypeInfo,
QualType ReceiverType,
SourceLocation SuperLoc,
Selector Sel,
ObjCMethodDecl *Method,
SourceLocation LBracLoc,
ArrayRef<SourceLocation> SelectorLocs,
SourceLocation RBracLoc,
MultiExprArg Args,
bool isImplicit = false);
ExprResult BuildClassMessageImplicit(QualType ReceiverType,
bool isSuperReceiver,
SourceLocation Loc,
Selector Sel,
ObjCMethodDecl *Method,
MultiExprArg Args);
ExprResult ActOnClassMessage(Scope *S,
ParsedType Receiver,
Selector Sel,
SourceLocation LBracLoc,
ArrayRef<SourceLocation> SelectorLocs,
SourceLocation RBracLoc,
MultiExprArg Args);
ExprResult BuildInstanceMessage(Expr *Receiver,
QualType ReceiverType,
SourceLocation SuperLoc,
Selector Sel,
ObjCMethodDecl *Method,
SourceLocation LBracLoc,
ArrayRef<SourceLocation> SelectorLocs,
SourceLocation RBracLoc,
MultiExprArg Args,
bool isImplicit = false);
ExprResult BuildInstanceMessageImplicit(Expr *Receiver,
QualType ReceiverType,
SourceLocation Loc,
Selector Sel,
ObjCMethodDecl *Method,
MultiExprArg Args);
ExprResult ActOnInstanceMessage(Scope *S,
Expr *Receiver,
Selector Sel,
SourceLocation LBracLoc,
ArrayRef<SourceLocation> SelectorLocs,
SourceLocation RBracLoc,
MultiExprArg Args);
ExprResult BuildObjCBridgedCast(SourceLocation LParenLoc,
ObjCBridgeCastKind Kind,
SourceLocation BridgeKeywordLoc,
TypeSourceInfo *TSInfo,
Expr *SubExpr);
ExprResult ActOnObjCBridgedCast(Scope *S,
SourceLocation LParenLoc,
ObjCBridgeCastKind Kind,
SourceLocation BridgeKeywordLoc,
ParsedType Type,
SourceLocation RParenLoc,
Expr *SubExpr);
void CheckTollFreeBridgeCast(QualType castType, Expr *castExpr);
void CheckObjCBridgeRelatedCast(QualType castType, Expr *castExpr);
bool CheckTollFreeBridgeStaticCast(QualType castType, Expr *castExpr,
CastKind &Kind);
bool checkObjCBridgeRelatedComponents(SourceLocation Loc,
QualType DestType, QualType SrcType,
ObjCInterfaceDecl *&RelatedClass,
ObjCMethodDecl *&ClassMethod,
ObjCMethodDecl *&InstanceMethod,
TypedefNameDecl *&TDNDecl,
bool CfToNs, bool Diagnose = true);
bool CheckObjCBridgeRelatedConversions(SourceLocation Loc,
QualType DestType, QualType SrcType,
Expr *&SrcExpr, bool Diagnose = true);
bool ConversionToObjCStringLiteralCheck(QualType DstType, Expr *&SrcExpr,
bool Diagnose = true);
bool checkInitMethod(ObjCMethodDecl *method, QualType receiverTypeIfCall);
/// \brief Check whether the given new method is a valid override of the
/// given overridden method, and set any properties that should be inherited.
void CheckObjCMethodOverride(ObjCMethodDecl *NewMethod,
const ObjCMethodDecl *Overridden);
/// \brief Describes the compatibility of a result type with its method.
enum ResultTypeCompatibilityKind {
RTC_Compatible,
RTC_Incompatible,
RTC_Unknown
};
/// Check whether the declared result type of the given Objective-C
/// method declaration is compatible with the method's class.
ResultTypeCompatibilityKind
checkRelatedResultTypeCompatibility(const ObjCMethodDecl *Method,
const ObjCInterfaceDecl *CurrentClass);
void CheckObjCMethodOverrides(ObjCMethodDecl *ObjCMethod,
ObjCInterfaceDecl *CurrentClass,
ResultTypeCompatibilityKind RTC);
enum PragmaOptionsAlignKind {
POAK_Native, // #pragma options align=native
POAK_Natural, // #pragma options align=natural
POAK_Packed, // #pragma options align=packed
POAK_Power, // #pragma options align=power
POAK_Mac68k, // #pragma options align=mac68k
POAK_Reset // #pragma options align=reset
};
/// ActOnPragmaOptionsAlign - Called on well formed \#pragma options align.
void ActOnPragmaOptionsAlign(PragmaOptionsAlignKind Kind,
SourceLocation PragmaLoc);
/// ActOnPragmaPack - Called on well formed \#pragma pack(...).
void ActOnPragmaPack(SourceLocation PragmaLoc, PragmaMsStackAction Action,
StringRef SlotLabel, Expr *Alignment);
/// ActOnPragmaMSStruct - Called on well formed \#pragma ms_struct [on|off].
void ActOnPragmaMSStruct(PragmaMSStructKind Kind);
/// ActOnPragmaMSComment - Called on well formed
/// \#pragma comment(kind, "arg").
void ActOnPragmaMSComment(SourceLocation CommentLoc, PragmaMSCommentKind Kind,
StringRef Arg);
/// ActOnPragmaMSPointersToMembers - called on well formed \#pragma
/// pointers_to_members(representation method[, general purpose
/// representation]).
void ActOnPragmaMSPointersToMembers(
LangOptions::PragmaMSPointersToMembersKind Kind,
SourceLocation PragmaLoc);
/// \brief Called on well formed \#pragma vtordisp().
void ActOnPragmaMSVtorDisp(PragmaMsStackAction Action,
SourceLocation PragmaLoc,
MSVtorDispAttr::Mode Value);
enum PragmaSectionKind {
PSK_DataSeg,
PSK_BSSSeg,
PSK_ConstSeg,
PSK_CodeSeg,
};
bool UnifySection(StringRef SectionName,
int SectionFlags,
DeclaratorDecl *TheDecl);
bool UnifySection(StringRef SectionName,
int SectionFlags,
SourceLocation PragmaSectionLocation);
/// \brief Called on well formed \#pragma bss_seg/data_seg/const_seg/code_seg.
void ActOnPragmaMSSeg(SourceLocation PragmaLocation,
PragmaMsStackAction Action,
llvm::StringRef StackSlotLabel,
StringLiteral *SegmentName,
llvm::StringRef PragmaName);
/// \brief Called on well formed \#pragma section().
void ActOnPragmaMSSection(SourceLocation PragmaLocation,
int SectionFlags, StringLiteral *SegmentName);
/// \brief Called on well-formed \#pragma init_seg().
void ActOnPragmaMSInitSeg(SourceLocation PragmaLocation,
StringLiteral *SegmentName);
/// \brief Called on #pragma clang __debug dump II
void ActOnPragmaDump(Scope *S, SourceLocation Loc, IdentifierInfo *II);
/// ActOnPragmaDetectMismatch - Call on well-formed \#pragma detect_mismatch
void ActOnPragmaDetectMismatch(SourceLocation Loc, StringRef Name,
StringRef Value);
/// ActOnPragmaUnused - Called on well-formed '\#pragma unused'.
void ActOnPragmaUnused(const Token &Identifier,
Scope *curScope,
SourceLocation PragmaLoc);
/// ActOnPragmaVisibility - Called on well formed \#pragma GCC visibility... .
void ActOnPragmaVisibility(const IdentifierInfo* VisType,
SourceLocation PragmaLoc);
NamedDecl *DeclClonePragmaWeak(NamedDecl *ND, IdentifierInfo *II,
SourceLocation Loc);
void DeclApplyPragmaWeak(Scope *S, NamedDecl *ND, WeakInfo &W);
/// ActOnPragmaWeakID - Called on well formed \#pragma weak ident.
void ActOnPragmaWeakID(IdentifierInfo* WeakName,
SourceLocation PragmaLoc,
SourceLocation WeakNameLoc);
/// ActOnPragmaRedefineExtname - Called on well formed
/// \#pragma redefine_extname oldname newname.
void ActOnPragmaRedefineExtname(IdentifierInfo* WeakName,
IdentifierInfo* AliasName,
SourceLocation PragmaLoc,
SourceLocation WeakNameLoc,
SourceLocation AliasNameLoc);
/// ActOnPragmaWeakAlias - Called on well formed \#pragma weak ident = ident.
void ActOnPragmaWeakAlias(IdentifierInfo* WeakName,
IdentifierInfo* AliasName,
SourceLocation PragmaLoc,
SourceLocation WeakNameLoc,
SourceLocation AliasNameLoc);
/// ActOnPragmaFPContract - Called on well formed
/// \#pragma {STDC,OPENCL} FP_CONTRACT and
/// \#pragma clang fp contract
void ActOnPragmaFPContract(LangOptions::FPContractModeKind FPC);
/// AddAlignmentAttributesForRecord - Adds any needed alignment attributes to
/// a the record decl, to handle '\#pragma pack' and '\#pragma options align'.
void AddAlignmentAttributesForRecord(RecordDecl *RD);
/// AddMsStructLayoutForRecord - Adds ms_struct layout attribute to record.
void AddMsStructLayoutForRecord(RecordDecl *RD);
/// FreePackedContext - Deallocate and null out PackContext.
void FreePackedContext();
/// PushNamespaceVisibilityAttr - Note that we've entered a
/// namespace with a visibility attribute.
void PushNamespaceVisibilityAttr(const VisibilityAttr *Attr,
SourceLocation Loc);
/// AddPushedVisibilityAttribute - If '\#pragma GCC visibility' was used,
/// add an appropriate visibility attribute.
void AddPushedVisibilityAttribute(Decl *RD);
/// PopPragmaVisibility - Pop the top element of the visibility stack; used
/// for '\#pragma GCC visibility' and visibility attributes on namespaces.
void PopPragmaVisibility(bool IsNamespaceEnd, SourceLocation EndLoc);
/// FreeVisContext - Deallocate and null out VisContext.
void FreeVisContext();
/// AddCFAuditedAttribute - Check whether we're currently within
/// '\#pragma clang arc_cf_code_audited' and, if so, consider adding
/// the appropriate attribute.
void AddCFAuditedAttribute(Decl *D);
/// \brief Called on well-formed '\#pragma clang attribute push'.
void ActOnPragmaAttributePush(AttributeList &Attribute,
SourceLocation PragmaLoc,
attr::ParsedSubjectMatchRuleSet Rules);
/// \brief Called on well-formed '\#pragma clang attribute pop'.
void ActOnPragmaAttributePop(SourceLocation PragmaLoc);
/// \brief Adds the attributes that have been specified using the
/// '\#pragma clang attribute push' directives to the given declaration.
void AddPragmaAttributes(Scope *S, Decl *D);
void DiagnoseUnterminatedPragmaAttribute();
/// \brief Called on well formed \#pragma clang optimize.
void ActOnPragmaOptimize(bool On, SourceLocation PragmaLoc);
/// \brief Get the location for the currently active "\#pragma clang optimize
/// off". If this location is invalid, then the state of the pragma is "on".
SourceLocation getOptimizeOffPragmaLocation() const {
return OptimizeOffPragmaLocation;
}
/// \brief Only called on function definitions; if there is a pragma in scope
/// with the effect of a range-based optnone, consider marking the function
/// with attribute optnone.
void AddRangeBasedOptnone(FunctionDecl *FD);
/// \brief Adds the 'optnone' attribute to the function declaration if there
/// are no conflicts; Loc represents the location causing the 'optnone'
/// attribute to be added (usually because of a pragma).
void AddOptnoneAttributeIfNoConflicts(FunctionDecl *FD, SourceLocation Loc);
/// AddAlignedAttr - Adds an aligned attribute to a particular declaration.
void AddAlignedAttr(SourceRange AttrRange, Decl *D, Expr *E,
unsigned SpellingListIndex, bool IsPackExpansion);
void AddAlignedAttr(SourceRange AttrRange, Decl *D, TypeSourceInfo *T,
unsigned SpellingListIndex, bool IsPackExpansion);
/// AddAssumeAlignedAttr - Adds an assume_aligned attribute to a particular
/// declaration.
void AddAssumeAlignedAttr(SourceRange AttrRange, Decl *D, Expr *E, Expr *OE,
unsigned SpellingListIndex);
/// AddAlignValueAttr - Adds an align_value attribute to a particular
/// declaration.
void AddAlignValueAttr(SourceRange AttrRange, Decl *D, Expr *E,
unsigned SpellingListIndex);
/// AddLaunchBoundsAttr - Adds a launch_bounds attribute to a particular
/// declaration.
void AddLaunchBoundsAttr(SourceRange AttrRange, Decl *D, Expr *MaxThreads,
Expr *MinBlocks, unsigned SpellingListIndex);
/// AddModeAttr - Adds a mode attribute to a particular declaration.
void AddModeAttr(SourceRange AttrRange, Decl *D, IdentifierInfo *Name,
unsigned SpellingListIndex, bool InInstantiation = false);
void AddParameterABIAttr(SourceRange AttrRange, Decl *D,
ParameterABI ABI, unsigned SpellingListIndex);
void AddNSConsumedAttr(SourceRange AttrRange, Decl *D,
unsigned SpellingListIndex, bool isNSConsumed,
bool isTemplateInstantiation);
//===--------------------------------------------------------------------===//
// C++ Coroutines TS
//
ExprResult ActOnCoawaitExpr(Scope *S, SourceLocation KwLoc, Expr *E);
ExprResult ActOnCoyieldExpr(Scope *S, SourceLocation KwLoc, Expr *E);
StmtResult ActOnCoreturnStmt(SourceLocation KwLoc, Expr *E);
ExprResult BuildCoawaitExpr(SourceLocation KwLoc, Expr *E);
ExprResult BuildCoyieldExpr(SourceLocation KwLoc, Expr *E);
StmtResult BuildCoreturnStmt(SourceLocation KwLoc, Expr *E);
void CheckCompletedCoroutineBody(FunctionDecl *FD, Stmt *&Body);
//===--------------------------------------------------------------------===//
// OpenCL extensions.
//
private:
std::string CurrOpenCLExtension;
/// Extensions required by an OpenCL type.
llvm::DenseMap<const Type*, std::set<std::string>> OpenCLTypeExtMap;
/// Extensions required by an OpenCL declaration.
llvm::DenseMap<const Decl*, std::set<std::string>> OpenCLDeclExtMap;
public:
llvm::StringRef getCurrentOpenCLExtension() const {
return CurrOpenCLExtension;
}
void setCurrentOpenCLExtension(llvm::StringRef Ext) {
CurrOpenCLExtension = Ext;
}
/// \brief Set OpenCL extensions for a type which can only be used when these
/// OpenCL extensions are enabled. If \p Exts is empty, do nothing.
/// \param Exts A space separated list of OpenCL extensions.
void setOpenCLExtensionForType(QualType T, llvm::StringRef Exts);
/// \brief Set OpenCL extensions for a declaration which can only be
/// used when these OpenCL extensions are enabled. If \p Exts is empty, do
/// nothing.
/// \param Exts A space separated list of OpenCL extensions.
void setOpenCLExtensionForDecl(Decl *FD, llvm::StringRef Exts);
/// \brief Set current OpenCL extensions for a type which can only be used
/// when these OpenCL extensions are enabled. If current OpenCL extension is
/// empty, do nothing.
void setCurrentOpenCLExtensionForType(QualType T);
/// \brief Set current OpenCL extensions for a declaration which
/// can only be used when these OpenCL extensions are enabled. If current
/// OpenCL extension is empty, do nothing.
void setCurrentOpenCLExtensionForDecl(Decl *FD);
bool isOpenCLDisabledDecl(Decl *FD);
/// \brief Check if type \p T corresponding to declaration specifier \p DS
/// is disabled due to required OpenCL extensions being disabled. If so,
/// emit diagnostics.
/// \return true if type is disabled.
bool checkOpenCLDisabledTypeDeclSpec(const DeclSpec &DS, QualType T);
/// \brief Check if declaration \p D used by expression \p E
/// is disabled due to required OpenCL extensions being disabled. If so,
/// emit diagnostics.
/// \return true if type is disabled.
bool checkOpenCLDisabledDecl(const Decl &D, const Expr &E);
//===--------------------------------------------------------------------===//
// OpenMP directives and clauses.
//
private:
void *VarDataSharingAttributesStack;
/// Set to true inside '#pragma omp declare target' region.
bool IsInOpenMPDeclareTargetContext = false;
/// \brief Initialization of data-sharing attributes stack.
void InitDataSharingAttributesStack();
void DestroyDataSharingAttributesStack();
ExprResult
VerifyPositiveIntegerConstantInClause(Expr *Op, OpenMPClauseKind CKind,
bool StrictlyPositive = true);
/// Returns OpenMP nesting level for current directive.
unsigned getOpenMPNestingLevel() const;
/// Checks if a type or a declaration is disabled due to the owning extension
/// being disabled, and emits diagnostic messages if it is disabled.
/// \param D type or declaration to be checked.
/// \param DiagLoc source location for the diagnostic message.
/// \param DiagInfo information to be emitted for the diagnostic message.
/// \param SrcRange source range of the declaration.
/// \param Map maps type or declaration to the extensions.
/// \param Selector selects diagnostic message: 0 for type and 1 for
/// declaration.
/// \return true if the type or declaration is disabled.
template <typename T, typename DiagLocT, typename DiagInfoT, typename MapT>
bool checkOpenCLDisabledTypeOrDecl(T D, DiagLocT DiagLoc, DiagInfoT DiagInfo,
MapT &Map, unsigned Selector = 0,
SourceRange SrcRange = SourceRange());
public:
/// \brief Return true if the provided declaration \a VD should be captured by
/// reference.
/// \param Level Relative level of nested OpenMP construct for that the check
/// is performed.
bool IsOpenMPCapturedByRef(ValueDecl *D, unsigned Level);
/// \brief Check if the specified variable is used in one of the private
/// clauses (private, firstprivate, lastprivate, reduction etc.) in OpenMP
/// constructs.
VarDecl *IsOpenMPCapturedDecl(ValueDecl *D);
ExprResult getOpenMPCapturedExpr(VarDecl *Capture, ExprValueKind VK,
ExprObjectKind OK, SourceLocation Loc);
/// \brief Check if the specified variable is used in 'private' clause.
/// \param Level Relative level of nested OpenMP construct for that the check
/// is performed.
bool isOpenMPPrivateDecl(ValueDecl *D, unsigned Level);
/// \brief Check if the specified variable is captured by 'target' directive.
/// \param Level Relative level of nested OpenMP construct for that the check
/// is performed.
bool isOpenMPTargetCapturedDecl(ValueDecl *D, unsigned Level);
ExprResult PerformOpenMPImplicitIntegerConversion(SourceLocation OpLoc,
Expr *Op);
/// \brief Called on start of new data sharing attribute block.
void StartOpenMPDSABlock(OpenMPDirectiveKind K,
const DeclarationNameInfo &DirName, Scope *CurScope,
SourceLocation Loc);
/// \brief Start analysis of clauses.
void StartOpenMPClause(OpenMPClauseKind K);
/// \brief End analysis of clauses.
void EndOpenMPClause();
/// \brief Called on end of data sharing attribute block.
void EndOpenMPDSABlock(Stmt *CurDirective);
/// \brief Check if the current region is an OpenMP loop region and if it is,
/// mark loop control variable, used in \p Init for loop initialization, as
/// private by default.
/// \param Init First part of the for loop.
void ActOnOpenMPLoopInitialization(SourceLocation ForLoc, Stmt *Init);
// OpenMP directives and clauses.
/// \brief Called on correct id-expression from the '#pragma omp
/// threadprivate'.
ExprResult ActOnOpenMPIdExpression(Scope *CurScope,
CXXScopeSpec &ScopeSpec,
const DeclarationNameInfo &Id);
/// \brief Called on well-formed '#pragma omp threadprivate'.
DeclGroupPtrTy ActOnOpenMPThreadprivateDirective(
SourceLocation Loc,
ArrayRef<Expr *> VarList);
/// \brief Builds a new OpenMPThreadPrivateDecl and checks its correctness.
OMPThreadPrivateDecl *CheckOMPThreadPrivateDecl(
SourceLocation Loc,
ArrayRef<Expr *> VarList);
/// \brief Check if the specified type is allowed to be used in 'omp declare
/// reduction' construct.
QualType ActOnOpenMPDeclareReductionType(SourceLocation TyLoc,
TypeResult ParsedType);
/// \brief Called on start of '#pragma omp declare reduction'.
DeclGroupPtrTy ActOnOpenMPDeclareReductionDirectiveStart(
Scope *S, DeclContext *DC, DeclarationName Name,
ArrayRef<std::pair<QualType, SourceLocation>> ReductionTypes,
AccessSpecifier AS, Decl *PrevDeclInScope = nullptr);
/// \brief Initialize declare reduction construct initializer.
void ActOnOpenMPDeclareReductionCombinerStart(Scope *S, Decl *D);
/// \brief Finish current declare reduction construct initializer.
void ActOnOpenMPDeclareReductionCombinerEnd(Decl *D, Expr *Combiner);
/// \brief Initialize declare reduction construct initializer.
void ActOnOpenMPDeclareReductionInitializerStart(Scope *S, Decl *D);
/// \brief Finish current declare reduction construct initializer.
void ActOnOpenMPDeclareReductionInitializerEnd(Decl *D, Expr *Initializer);
/// \brief Called at the end of '#pragma omp declare reduction'.
DeclGroupPtrTy ActOnOpenMPDeclareReductionDirectiveEnd(
Scope *S, DeclGroupPtrTy DeclReductions, bool IsValid);
/// Called on the start of target region i.e. '#pragma omp declare target'.
bool ActOnStartOpenMPDeclareTargetDirective(SourceLocation Loc);
/// Called at the end of target region i.e. '#pragme omp end declare target'.
void ActOnFinishOpenMPDeclareTargetDirective();
/// Called on correct id-expression from the '#pragma omp declare target'.
void ActOnOpenMPDeclareTargetName(Scope *CurScope, CXXScopeSpec &ScopeSpec,
const DeclarationNameInfo &Id,
OMPDeclareTargetDeclAttr::MapTypeTy MT,
NamedDeclSetType &SameDirectiveDecls);
/// Check declaration inside target region.
void checkDeclIsAllowedInOpenMPTarget(Expr *E, Decl *D);
/// Return true inside OpenMP target region.
bool isInOpenMPDeclareTargetContext() const {
return IsInOpenMPDeclareTargetContext;
}
/// \brief Initialization of captured region for OpenMP region.
void ActOnOpenMPRegionStart(OpenMPDirectiveKind DKind, Scope *CurScope);
/// \brief End of OpenMP region.
///
/// \param S Statement associated with the current OpenMP region.
/// \param Clauses List of clauses for the current OpenMP region.
///
/// \returns Statement for finished OpenMP region.
StmtResult ActOnOpenMPRegionEnd(StmtResult S, ArrayRef<OMPClause *> Clauses);
StmtResult ActOnOpenMPExecutableDirective(
OpenMPDirectiveKind Kind, const DeclarationNameInfo &DirName,
OpenMPDirectiveKind CancelRegion, ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc, SourceLocation EndLoc);
/// \brief Called on well-formed '\#pragma omp parallel' after parsing
/// of the associated statement.
StmtResult ActOnOpenMPParallelDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt,
SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed '\#pragma omp simd' after parsing
/// of the associated statement.
StmtResult ActOnOpenMPSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc,
llvm::DenseMap<ValueDecl *, Expr *> &VarsWithImplicitDSA);
/// \brief Called on well-formed '\#pragma omp for' after parsing
/// of the associated statement.
StmtResult ActOnOpenMPForDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc,
llvm::DenseMap<ValueDecl *, Expr *> &VarsWithImplicitDSA);
/// \brief Called on well-formed '\#pragma omp for simd' after parsing
/// of the associated statement.
StmtResult ActOnOpenMPForSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc,
llvm::DenseMap<ValueDecl *, Expr *> &VarsWithImplicitDSA);
/// \brief Called on well-formed '\#pragma omp sections' after parsing
/// of the associated statement.
StmtResult ActOnOpenMPSectionsDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed '\#pragma omp section' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPSectionDirective(Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed '\#pragma omp single' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPSingleDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed '\#pragma omp master' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPMasterDirective(Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed '\#pragma omp critical' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPCriticalDirective(const DeclarationNameInfo &DirName,
ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed '\#pragma omp parallel for' after parsing
/// of the associated statement.
StmtResult ActOnOpenMPParallelForDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc,
llvm::DenseMap<ValueDecl *, Expr *> &VarsWithImplicitDSA);
/// \brief Called on well-formed '\#pragma omp parallel for simd' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPParallelForSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc,
llvm::DenseMap<ValueDecl *, Expr *> &VarsWithImplicitDSA);
/// \brief Called on well-formed '\#pragma omp parallel sections' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPParallelSectionsDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt,
SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed '\#pragma omp task' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPTaskDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed '\#pragma omp taskyield'.
StmtResult ActOnOpenMPTaskyieldDirective(SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed '\#pragma omp barrier'.
StmtResult ActOnOpenMPBarrierDirective(SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed '\#pragma omp taskwait'.
StmtResult ActOnOpenMPTaskwaitDirective(SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed '\#pragma omp taskgroup'.
StmtResult ActOnOpenMPTaskgroupDirective(Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed '\#pragma omp flush'.
StmtResult ActOnOpenMPFlushDirective(ArrayRef<OMPClause *> Clauses,
SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed '\#pragma omp ordered' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPOrderedDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed '\#pragma omp atomic' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPAtomicDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed '\#pragma omp target' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPTargetDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed '\#pragma omp target data' after parsing of
/// the associated statement.
StmtResult ActOnOpenMPTargetDataDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed '\#pragma omp target enter data' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPTargetEnterDataDirective(ArrayRef<OMPClause *> Clauses,
SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed '\#pragma omp target exit data' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPTargetExitDataDirective(ArrayRef<OMPClause *> Clauses,
SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed '\#pragma omp target parallel' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPTargetParallelDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt,
SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed '\#pragma omp target parallel for' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPTargetParallelForDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc,
llvm::DenseMap<ValueDecl *, Expr *> &VarsWithImplicitDSA);
/// \brief Called on well-formed '\#pragma omp teams' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPTeamsDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed '\#pragma omp cancellation point'.
StmtResult
ActOnOpenMPCancellationPointDirective(SourceLocation StartLoc,
SourceLocation EndLoc,
OpenMPDirectiveKind CancelRegion);
/// \brief Called on well-formed '\#pragma omp cancel'.
StmtResult ActOnOpenMPCancelDirective(ArrayRef<OMPClause *> Clauses,
SourceLocation StartLoc,
SourceLocation EndLoc,
OpenMPDirectiveKind CancelRegion);
/// \brief Called on well-formed '\#pragma omp taskloop' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPTaskLoopDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc,
llvm::DenseMap<ValueDecl *, Expr *> &VarsWithImplicitDSA);
/// \brief Called on well-formed '\#pragma omp taskloop simd' after parsing of
/// the associated statement.
StmtResult ActOnOpenMPTaskLoopSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc,
llvm::DenseMap<ValueDecl *, Expr *> &VarsWithImplicitDSA);
/// \brief Called on well-formed '\#pragma omp distribute' after parsing
/// of the associated statement.
StmtResult ActOnOpenMPDistributeDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc,
llvm::DenseMap<ValueDecl *, Expr *> &VarsWithImplicitDSA);
/// \brief Called on well-formed '\#pragma omp target update'.
StmtResult ActOnOpenMPTargetUpdateDirective(ArrayRef<OMPClause *> Clauses,
SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed '\#pragma omp distribute parallel for' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPDistributeParallelForDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc,
llvm::DenseMap<ValueDecl *, Expr *> &VarsWithImplicitDSA);
/// \brief Called on well-formed '\#pragma omp distribute parallel for simd'
/// after parsing of the associated statement.
StmtResult ActOnOpenMPDistributeParallelForSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc,
llvm::DenseMap<ValueDecl *, Expr *> &VarsWithImplicitDSA);
/// \brief Called on well-formed '\#pragma omp distribute simd' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPDistributeSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc,
llvm::DenseMap<ValueDecl *, Expr *> &VarsWithImplicitDSA);
/// \brief Called on well-formed '\#pragma omp target parallel for simd' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPTargetParallelForSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc,
llvm::DenseMap<ValueDecl *, Expr *> &VarsWithImplicitDSA);
/// \brief Called on well-formed '\#pragma omp target simd' after parsing of
/// the associated statement.
StmtResult ActOnOpenMPTargetSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc,
llvm::DenseMap<ValueDecl *, Expr *> &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp teams distribute' after parsing of
/// the associated statement.
StmtResult ActOnOpenMPTeamsDistributeDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc,
llvm::DenseMap<ValueDecl *, Expr *> &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp teams distribute simd' after parsing
/// of the associated statement.
StmtResult ActOnOpenMPTeamsDistributeSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc,
llvm::DenseMap<ValueDecl *, Expr *> &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp teams distribute parallel for simd'
/// after parsing of the associated statement.
StmtResult ActOnOpenMPTeamsDistributeParallelForSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc,
llvm::DenseMap<ValueDecl *, Expr *> &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp teams distribute parallel for'
/// after parsing of the associated statement.
StmtResult ActOnOpenMPTeamsDistributeParallelForDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc,
llvm::DenseMap<ValueDecl *, Expr *> &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp target teams' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPTargetTeamsDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt,
SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp target teams distribute' after parsing
/// of the associated statement.
StmtResult ActOnOpenMPTargetTeamsDistributeDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc,
llvm::DenseMap<ValueDecl *, Expr *> &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp target teams distribute parallel for'
/// after parsing of the associated statement.
StmtResult ActOnOpenMPTargetTeamsDistributeParallelForDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc,
llvm::DenseMap<ValueDecl *, Expr *> &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp target teams distribute parallel for
/// simd' after parsing of the associated statement.
StmtResult ActOnOpenMPTargetTeamsDistributeParallelForSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc,
llvm::DenseMap<ValueDecl *, Expr *> &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp target teams distribute simd' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPTargetTeamsDistributeSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc,
llvm::DenseMap<ValueDecl *, Expr *> &VarsWithImplicitDSA);
/// Checks correctness of linear modifiers.
bool CheckOpenMPLinearModifier(OpenMPLinearClauseKind LinKind,
SourceLocation LinLoc);
/// Checks that the specified declaration matches requirements for the linear
/// decls.
bool CheckOpenMPLinearDecl(ValueDecl *D, SourceLocation ELoc,
OpenMPLinearClauseKind LinKind, QualType Type);
/// \brief Called on well-formed '\#pragma omp declare simd' after parsing of
/// the associated method/function.
DeclGroupPtrTy ActOnOpenMPDeclareSimdDirective(
DeclGroupPtrTy DG, OMPDeclareSimdDeclAttr::BranchStateTy BS,
Expr *Simdlen, ArrayRef<Expr *> Uniforms, ArrayRef<Expr *> Aligneds,
ArrayRef<Expr *> Alignments, ArrayRef<Expr *> Linears,
ArrayRef<unsigned> LinModifiers, ArrayRef<Expr *> Steps, SourceRange SR);
OMPClause *ActOnOpenMPSingleExprClause(OpenMPClauseKind Kind,
Expr *Expr,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'if' clause.
OMPClause *ActOnOpenMPIfClause(OpenMPDirectiveKind NameModifier,
Expr *Condition, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation NameModifierLoc,
SourceLocation ColonLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'final' clause.
OMPClause *ActOnOpenMPFinalClause(Expr *Condition, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'num_threads' clause.
OMPClause *ActOnOpenMPNumThreadsClause(Expr *NumThreads,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'safelen' clause.
OMPClause *ActOnOpenMPSafelenClause(Expr *Length,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'simdlen' clause.
OMPClause *ActOnOpenMPSimdlenClause(Expr *Length, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'collapse' clause.
OMPClause *ActOnOpenMPCollapseClause(Expr *NumForLoops,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'ordered' clause.
OMPClause *
ActOnOpenMPOrderedClause(SourceLocation StartLoc, SourceLocation EndLoc,
SourceLocation LParenLoc = SourceLocation(),
Expr *NumForLoops = nullptr);
/// \brief Called on well-formed 'grainsize' clause.
OMPClause *ActOnOpenMPGrainsizeClause(Expr *Size, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'num_tasks' clause.
OMPClause *ActOnOpenMPNumTasksClause(Expr *NumTasks, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'hint' clause.
OMPClause *ActOnOpenMPHintClause(Expr *Hint, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
OMPClause *ActOnOpenMPSimpleClause(OpenMPClauseKind Kind,
unsigned Argument,
SourceLocation ArgumentLoc,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'default' clause.
OMPClause *ActOnOpenMPDefaultClause(OpenMPDefaultClauseKind Kind,
SourceLocation KindLoc,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'proc_bind' clause.
OMPClause *ActOnOpenMPProcBindClause(OpenMPProcBindClauseKind Kind,
SourceLocation KindLoc,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
OMPClause *ActOnOpenMPSingleExprWithArgClause(
OpenMPClauseKind Kind, ArrayRef<unsigned> Arguments, Expr *Expr,
SourceLocation StartLoc, SourceLocation LParenLoc,
ArrayRef<SourceLocation> ArgumentsLoc, SourceLocation DelimLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'schedule' clause.
OMPClause *ActOnOpenMPScheduleClause(
OpenMPScheduleClauseModifier M1, OpenMPScheduleClauseModifier M2,
OpenMPScheduleClauseKind Kind, Expr *ChunkSize, SourceLocation StartLoc,
SourceLocation LParenLoc, SourceLocation M1Loc, SourceLocation M2Loc,
SourceLocation KindLoc, SourceLocation CommaLoc, SourceLocation EndLoc);
OMPClause *ActOnOpenMPClause(OpenMPClauseKind Kind, SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'nowait' clause.
OMPClause *ActOnOpenMPNowaitClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'untied' clause.
OMPClause *ActOnOpenMPUntiedClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'mergeable' clause.
OMPClause *ActOnOpenMPMergeableClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'read' clause.
OMPClause *ActOnOpenMPReadClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'write' clause.
OMPClause *ActOnOpenMPWriteClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'update' clause.
OMPClause *ActOnOpenMPUpdateClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'capture' clause.
OMPClause *ActOnOpenMPCaptureClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'seq_cst' clause.
OMPClause *ActOnOpenMPSeqCstClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'threads' clause.
OMPClause *ActOnOpenMPThreadsClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'simd' clause.
OMPClause *ActOnOpenMPSIMDClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'nogroup' clause.
OMPClause *ActOnOpenMPNogroupClause(SourceLocation StartLoc,
SourceLocation EndLoc);
OMPClause *ActOnOpenMPVarListClause(
OpenMPClauseKind Kind, ArrayRef<Expr *> Vars, Expr *TailExpr,
SourceLocation StartLoc, SourceLocation LParenLoc,
SourceLocation ColonLoc, SourceLocation EndLoc,
CXXScopeSpec &ReductionIdScopeSpec,
const DeclarationNameInfo &ReductionId, OpenMPDependClauseKind DepKind,
OpenMPLinearClauseKind LinKind, OpenMPMapClauseKind MapTypeModifier,
OpenMPMapClauseKind MapType, bool IsMapTypeImplicit,
SourceLocation DepLinMapLoc);
/// \brief Called on well-formed 'private' clause.
OMPClause *ActOnOpenMPPrivateClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'firstprivate' clause.
OMPClause *ActOnOpenMPFirstprivateClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'lastprivate' clause.
OMPClause *ActOnOpenMPLastprivateClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'shared' clause.
OMPClause *ActOnOpenMPSharedClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'reduction' clause.
OMPClause *ActOnOpenMPReductionClause(
ArrayRef<Expr *> VarList, SourceLocation StartLoc,
SourceLocation LParenLoc, SourceLocation ColonLoc, SourceLocation EndLoc,
CXXScopeSpec &ReductionIdScopeSpec,
const DeclarationNameInfo &ReductionId,
ArrayRef<Expr *> UnresolvedReductions = llvm::None);
/// \brief Called on well-formed 'linear' clause.
OMPClause *
ActOnOpenMPLinearClause(ArrayRef<Expr *> VarList, Expr *Step,
SourceLocation StartLoc, SourceLocation LParenLoc,
OpenMPLinearClauseKind LinKind, SourceLocation LinLoc,
SourceLocation ColonLoc, SourceLocation EndLoc);
/// \brief Called on well-formed 'aligned' clause.
OMPClause *ActOnOpenMPAlignedClause(ArrayRef<Expr *> VarList,
Expr *Alignment,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation ColonLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'copyin' clause.
OMPClause *ActOnOpenMPCopyinClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'copyprivate' clause.
OMPClause *ActOnOpenMPCopyprivateClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'flush' pseudo clause.
OMPClause *ActOnOpenMPFlushClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'depend' clause.
OMPClause *
ActOnOpenMPDependClause(OpenMPDependClauseKind DepKind, SourceLocation DepLoc,
SourceLocation ColonLoc, ArrayRef<Expr *> VarList,
SourceLocation StartLoc, SourceLocation LParenLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'device' clause.
OMPClause *ActOnOpenMPDeviceClause(Expr *Device, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'map' clause.
OMPClause *
ActOnOpenMPMapClause(OpenMPMapClauseKind MapTypeModifier,
OpenMPMapClauseKind MapType, bool IsMapTypeImplicit,
SourceLocation MapLoc, SourceLocation ColonLoc,
ArrayRef<Expr *> VarList, SourceLocation StartLoc,
SourceLocation LParenLoc, SourceLocation EndLoc);
/// \brief Called on well-formed 'num_teams' clause.
OMPClause *ActOnOpenMPNumTeamsClause(Expr *NumTeams, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'thread_limit' clause.
OMPClause *ActOnOpenMPThreadLimitClause(Expr *ThreadLimit,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'priority' clause.
OMPClause *ActOnOpenMPPriorityClause(Expr *Priority, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'dist_schedule' clause.
OMPClause *ActOnOpenMPDistScheduleClause(
OpenMPDistScheduleClauseKind Kind, Expr *ChunkSize,
SourceLocation StartLoc, SourceLocation LParenLoc, SourceLocation KindLoc,
SourceLocation CommaLoc, SourceLocation EndLoc);
/// \brief Called on well-formed 'defaultmap' clause.
OMPClause *ActOnOpenMPDefaultmapClause(
OpenMPDefaultmapClauseModifier M, OpenMPDefaultmapClauseKind Kind,
SourceLocation StartLoc, SourceLocation LParenLoc, SourceLocation MLoc,
SourceLocation KindLoc, SourceLocation EndLoc);
/// \brief Called on well-formed 'to' clause.
OMPClause *ActOnOpenMPToClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'from' clause.
OMPClause *ActOnOpenMPFromClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'use_device_ptr' clause.
OMPClause *ActOnOpenMPUseDevicePtrClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'is_device_ptr' clause.
OMPClause *ActOnOpenMPIsDevicePtrClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// \brief The kind of conversion being performed.
enum CheckedConversionKind {
/// \brief An implicit conversion.
CCK_ImplicitConversion,
/// \brief A C-style cast.
CCK_CStyleCast,
/// \brief A functional-style cast.
CCK_FunctionalCast,
/// \brief A cast other than a C-style cast.
CCK_OtherCast
};
/// ImpCastExprToType - If Expr is not of type 'Type', insert an implicit
/// cast. If there is already an implicit cast, merge into the existing one.
/// If isLvalue, the result of the cast is an lvalue.
ExprResult ImpCastExprToType(Expr *E, QualType Type, CastKind CK,
ExprValueKind VK = VK_RValue,
const CXXCastPath *BasePath = nullptr,
CheckedConversionKind CCK
= CCK_ImplicitConversion);
/// ScalarTypeToBooleanCastKind - Returns the cast kind corresponding
/// to the conversion from scalar type ScalarTy to the Boolean type.
static CastKind ScalarTypeToBooleanCastKind(QualType ScalarTy);
/// IgnoredValueConversions - Given that an expression's result is
/// syntactically ignored, perform any conversions that are
/// required.
ExprResult IgnoredValueConversions(Expr *E);
// UsualUnaryConversions - promotes integers (C99 6.3.1.1p2) and converts
// functions and arrays to their respective pointers (C99 6.3.2.1).
ExprResult UsualUnaryConversions(Expr *E);
/// CallExprUnaryConversions - a special case of an unary conversion
/// performed on a function designator of a call expression.
ExprResult CallExprUnaryConversions(Expr *E);
// DefaultFunctionArrayConversion - converts functions and arrays
// to their respective pointers (C99 6.3.2.1).
ExprResult DefaultFunctionArrayConversion(Expr *E, bool Diagnose = true);
// DefaultFunctionArrayLvalueConversion - converts functions and
// arrays to their respective pointers and performs the
// lvalue-to-rvalue conversion.
ExprResult DefaultFunctionArrayLvalueConversion(Expr *E,
bool Diagnose = true);
// DefaultLvalueConversion - performs lvalue-to-rvalue conversion on
// the operand. This is DefaultFunctionArrayLvalueConversion,
// except that it assumes the operand isn't of function or array
// type.
ExprResult DefaultLvalueConversion(Expr *E);
// DefaultArgumentPromotion (C99 6.5.2.2p6). Used for function calls that
// do not have a prototype. Integer promotions are performed on each
// argument, and arguments that have type float are promoted to double.
ExprResult DefaultArgumentPromotion(Expr *E);
/// If \p E is a prvalue denoting an unmaterialized temporary, materialize
/// it as an xvalue. In C++98, the result will still be a prvalue, because
/// we don't have xvalues there.
ExprResult TemporaryMaterializationConversion(Expr *E);
// Used for emitting the right warning by DefaultVariadicArgumentPromotion
enum VariadicCallType {
VariadicFunction,
VariadicBlock,
VariadicMethod,
VariadicConstructor,
VariadicDoesNotApply
};
VariadicCallType getVariadicCallType(FunctionDecl *FDecl,
const FunctionProtoType *Proto,
Expr *Fn);
// Used for determining in which context a type is allowed to be passed to a
// vararg function.
enum VarArgKind {
VAK_Valid,
VAK_ValidInCXX11,
VAK_Undefined,
VAK_MSVCUndefined,
VAK_Invalid
};
// Determines which VarArgKind fits an expression.
VarArgKind isValidVarArgType(const QualType &Ty);
/// Check to see if the given expression is a valid argument to a variadic
/// function, issuing a diagnostic if not.
void checkVariadicArgument(const Expr *E, VariadicCallType CT);
/// Check to see if a given expression could have '.c_str()' called on it.
bool hasCStrMethod(const Expr *E);
/// GatherArgumentsForCall - Collector argument expressions for various
/// form of call prototypes.
bool GatherArgumentsForCall(SourceLocation CallLoc, FunctionDecl *FDecl,
const FunctionProtoType *Proto,
unsigned FirstParam, ArrayRef<Expr *> Args,
SmallVectorImpl<Expr *> &AllArgs,
VariadicCallType CallType = VariadicDoesNotApply,
bool AllowExplicit = false,
bool IsListInitialization = false);
// DefaultVariadicArgumentPromotion - Like DefaultArgumentPromotion, but
// will create a runtime trap if the resulting type is not a POD type.
ExprResult DefaultVariadicArgumentPromotion(Expr *E, VariadicCallType CT,
FunctionDecl *FDecl);
// UsualArithmeticConversions - performs the UsualUnaryConversions on it's
// operands and then handles various conversions that are common to binary
// operators (C99 6.3.1.8). If both operands aren't arithmetic, this
// routine returns the first non-arithmetic type found. The client is
// responsible for emitting appropriate error diagnostics.
QualType UsualArithmeticConversions(ExprResult &LHS, ExprResult &RHS,
bool IsCompAssign = false);
/// AssignConvertType - All of the 'assignment' semantic checks return this
/// enum to indicate whether the assignment was allowed. These checks are
/// done for simple assignments, as well as initialization, return from
/// function, argument passing, etc. The query is phrased in terms of a
/// source and destination type.
enum AssignConvertType {
/// Compatible - the types are compatible according to the standard.
Compatible,
/// PointerToInt - The assignment converts a pointer to an int, which we
/// accept as an extension.
PointerToInt,
/// IntToPointer - The assignment converts an int to a pointer, which we
/// accept as an extension.
IntToPointer,
/// FunctionVoidPointer - The assignment is between a function pointer and
/// void*, which the standard doesn't allow, but we accept as an extension.
FunctionVoidPointer,
/// IncompatiblePointer - The assignment is between two pointers types that
/// are not compatible, but we accept them as an extension.
IncompatiblePointer,
/// IncompatiblePointerSign - The assignment is between two pointers types
/// which point to integers which have a different sign, but are otherwise
/// identical. This is a subset of the above, but broken out because it's by
/// far the most common case of incompatible pointers.
IncompatiblePointerSign,
/// CompatiblePointerDiscardsQualifiers - The assignment discards
/// c/v/r qualifiers, which we accept as an extension.
CompatiblePointerDiscardsQualifiers,
/// IncompatiblePointerDiscardsQualifiers - The assignment
/// discards qualifiers that we don't permit to be discarded,
/// like address spaces.
IncompatiblePointerDiscardsQualifiers,
/// IncompatibleNestedPointerQualifiers - The assignment is between two
/// nested pointer types, and the qualifiers other than the first two
/// levels differ e.g. char ** -> const char **, but we accept them as an
/// extension.
IncompatibleNestedPointerQualifiers,
/// IncompatibleVectors - The assignment is between two vector types that
/// have the same size, which we accept as an extension.
IncompatibleVectors,
/// IntToBlockPointer - The assignment converts an int to a block
/// pointer. We disallow this.
IntToBlockPointer,
/// IncompatibleBlockPointer - The assignment is between two block
/// pointers types that are not compatible.
IncompatibleBlockPointer,
/// IncompatibleObjCQualifiedId - The assignment is between a qualified
/// id type and something else (that is incompatible with it). For example,
/// "id <XXX>" = "Foo *", where "Foo *" doesn't implement the XXX protocol.
IncompatibleObjCQualifiedId,
/// IncompatibleObjCWeakRef - Assigning a weak-unavailable object to an
/// object with __weak qualifier.
IncompatibleObjCWeakRef,
/// Incompatible - We reject this conversion outright, it is invalid to
/// represent it in the AST.
Incompatible
};
/// DiagnoseAssignmentResult - Emit a diagnostic, if required, for the
/// assignment conversion type specified by ConvTy. This returns true if the
/// conversion was invalid or false if the conversion was accepted.
bool DiagnoseAssignmentResult(AssignConvertType ConvTy,
SourceLocation Loc,
QualType DstType, QualType SrcType,
Expr *SrcExpr, AssignmentAction Action,
bool *Complained = nullptr);
/// IsValueInFlagEnum - Determine if a value is allowed as part of a flag
/// enum. If AllowMask is true, then we also allow the complement of a valid
/// value, to be used as a mask.
bool IsValueInFlagEnum(const EnumDecl *ED, const llvm::APInt &Val,
bool AllowMask) const;
/// DiagnoseAssignmentEnum - Warn if assignment to enum is a constant
/// integer not in the range of enum values.
void DiagnoseAssignmentEnum(QualType DstType, QualType SrcType,
Expr *SrcExpr);
/// CheckAssignmentConstraints - Perform type checking for assignment,
/// argument passing, variable initialization, and function return values.
/// C99 6.5.16.
AssignConvertType CheckAssignmentConstraints(SourceLocation Loc,
QualType LHSType,
QualType RHSType);
/// Check assignment constraints and optionally prepare for a conversion of
/// the RHS to the LHS type. The conversion is prepared for if ConvertRHS
/// is true.
AssignConvertType CheckAssignmentConstraints(QualType LHSType,
ExprResult &RHS,
CastKind &Kind,
bool ConvertRHS = true);
/// Check assignment constraints for an assignment of RHS to LHSType.
///
/// \param LHSType The destination type for the assignment.
/// \param RHS The source expression for the assignment.
/// \param Diagnose If \c true, diagnostics may be produced when checking
/// for assignability. If a diagnostic is produced, \p RHS will be
/// set to ExprError(). Note that this function may still return
/// without producing a diagnostic, even for an invalid assignment.
/// \param DiagnoseCFAudited If \c true, the target is a function parameter
/// in an audited Core Foundation API and does not need to be checked
/// for ARC retain issues.
/// \param ConvertRHS If \c true, \p RHS will be updated to model the
/// conversions necessary to perform the assignment. If \c false,
/// \p Diagnose must also be \c false.
AssignConvertType CheckSingleAssignmentConstraints(
QualType LHSType, ExprResult &RHS, bool Diagnose = true,
bool DiagnoseCFAudited = false, bool ConvertRHS = true);
// \brief If the lhs type is a transparent union, check whether we
// can initialize the transparent union with the given expression.
AssignConvertType CheckTransparentUnionArgumentConstraints(QualType ArgType,
ExprResult &RHS);
bool IsStringLiteralToNonConstPointerConversion(Expr *From, QualType ToType);
bool CheckExceptionSpecCompatibility(Expr *From, QualType ToType);
ExprResult PerformImplicitConversion(Expr *From, QualType ToType,
AssignmentAction Action,
bool AllowExplicit = false);
ExprResult PerformImplicitConversion(Expr *From, QualType ToType,
AssignmentAction Action,
bool AllowExplicit,
ImplicitConversionSequence& ICS);
ExprResult PerformImplicitConversion(Expr *From, QualType ToType,
const ImplicitConversionSequence& ICS,
AssignmentAction Action,
CheckedConversionKind CCK
= CCK_ImplicitConversion);
ExprResult PerformImplicitConversion(Expr *From, QualType ToType,
const StandardConversionSequence& SCS,
AssignmentAction Action,
CheckedConversionKind CCK);
/// the following "Check" methods will return a valid/converted QualType
/// or a null QualType (indicating an error diagnostic was issued).
/// type checking binary operators (subroutines of CreateBuiltinBinOp).
QualType InvalidOperands(SourceLocation Loc, ExprResult &LHS,
ExprResult &RHS);
QualType CheckPointerToMemberOperands( // C++ 5.5
ExprResult &LHS, ExprResult &RHS, ExprValueKind &VK,
SourceLocation OpLoc, bool isIndirect);
QualType CheckMultiplyDivideOperands( // C99 6.5.5
ExprResult &LHS, ExprResult &RHS, SourceLocation Loc, bool IsCompAssign,
bool IsDivide);
QualType CheckRemainderOperands( // C99 6.5.5
ExprResult &LHS, ExprResult &RHS, SourceLocation Loc,
bool IsCompAssign = false);
QualType CheckAdditionOperands( // C99 6.5.6
ExprResult &LHS, ExprResult &RHS, SourceLocation Loc,
BinaryOperatorKind Opc, QualType* CompLHSTy = nullptr);
QualType CheckSubtractionOperands( // C99 6.5.6
ExprResult &LHS, ExprResult &RHS, SourceLocation Loc,
QualType* CompLHSTy = nullptr);
QualType CheckShiftOperands( // C99 6.5.7
ExprResult &LHS, ExprResult &RHS, SourceLocation Loc,
BinaryOperatorKind Opc, bool IsCompAssign = false);
QualType CheckCompareOperands( // C99 6.5.8/9
ExprResult &LHS, ExprResult &RHS, SourceLocation Loc,
BinaryOperatorKind Opc, bool isRelational);
QualType CheckBitwiseOperands( // C99 6.5.[10...12]
ExprResult &LHS, ExprResult &RHS, SourceLocation Loc,
BinaryOperatorKind Opc);
QualType CheckLogicalOperands( // C99 6.5.[13,14]
ExprResult &LHS, ExprResult &RHS, SourceLocation Loc,
BinaryOperatorKind Opc);
// CheckAssignmentOperands is used for both simple and compound assignment.
// For simple assignment, pass both expressions and a null converted type.
// For compound assignment, pass both expressions and the converted type.
QualType CheckAssignmentOperands( // C99 6.5.16.[1,2]
Expr *LHSExpr, ExprResult &RHS, SourceLocation Loc, QualType CompoundType);
ExprResult checkPseudoObjectIncDec(Scope *S, SourceLocation OpLoc,
UnaryOperatorKind Opcode, Expr *Op);
ExprResult checkPseudoObjectAssignment(Scope *S, SourceLocation OpLoc,
BinaryOperatorKind Opcode,
Expr *LHS, Expr *RHS);
ExprResult checkPseudoObjectRValue(Expr *E);
Expr *recreateSyntacticForm(PseudoObjectExpr *E);
QualType CheckConditionalOperands( // C99 6.5.15
ExprResult &Cond, ExprResult &LHS, ExprResult &RHS,
ExprValueKind &VK, ExprObjectKind &OK, SourceLocation QuestionLoc);
QualType CXXCheckConditionalOperands( // C++ 5.16
ExprResult &cond, ExprResult &lhs, ExprResult &rhs,
ExprValueKind &VK, ExprObjectKind &OK, SourceLocation questionLoc);
QualType FindCompositePointerType(SourceLocation Loc, Expr *&E1, Expr *&E2,
bool ConvertArgs = true);
QualType FindCompositePointerType(SourceLocation Loc,
ExprResult &E1, ExprResult &E2,
bool ConvertArgs = true) {
Expr *E1Tmp = E1.get(), *E2Tmp = E2.get();
QualType Composite =
FindCompositePointerType(Loc, E1Tmp, E2Tmp, ConvertArgs);
E1 = E1Tmp;
E2 = E2Tmp;
return Composite;
}
QualType FindCompositeObjCPointerType(ExprResult &LHS, ExprResult &RHS,
SourceLocation QuestionLoc);
bool DiagnoseConditionalForNull(Expr *LHSExpr, Expr *RHSExpr,
SourceLocation QuestionLoc);
void DiagnoseAlwaysNonNullPointer(Expr *E,
Expr::NullPointerConstantKind NullType,
bool IsEqual, SourceRange Range);
/// type checking for vector binary operators.
QualType CheckVectorOperands(ExprResult &LHS, ExprResult &RHS,
SourceLocation Loc, bool IsCompAssign,
bool AllowBothBool, bool AllowBoolConversion);
QualType GetSignedVectorType(QualType V);
QualType CheckVectorCompareOperands(ExprResult &LHS, ExprResult &RHS,
SourceLocation Loc, bool isRelational);
QualType CheckVectorLogicalOperands(ExprResult &LHS, ExprResult &RHS,
SourceLocation Loc);
bool areLaxCompatibleVectorTypes(QualType srcType, QualType destType);
bool isLaxVectorConversion(QualType srcType, QualType destType);
/// type checking declaration initializers (C99 6.7.8)
bool CheckForConstantInitializer(Expr *e, QualType t);
// type checking C++ declaration initializers (C++ [dcl.init]).
/// ReferenceCompareResult - Expresses the result of comparing two
/// types (cv1 T1 and cv2 T2) to determine their compatibility for the
/// purposes of initialization by reference (C++ [dcl.init.ref]p4).
enum ReferenceCompareResult {
/// Ref_Incompatible - The two types are incompatible, so direct
/// reference binding is not possible.
Ref_Incompatible = 0,
/// Ref_Related - The two types are reference-related, which means
/// that their unqualified forms (T1 and T2) are either the same
/// or T1 is a base class of T2.
Ref_Related,
/// Ref_Compatible - The two types are reference-compatible.
Ref_Compatible
};
ReferenceCompareResult CompareReferenceRelationship(SourceLocation Loc,
QualType T1, QualType T2,
bool &DerivedToBase,
bool &ObjCConversion,
bool &ObjCLifetimeConversion);
ExprResult checkUnknownAnyCast(SourceRange TypeRange, QualType CastType,
Expr *CastExpr, CastKind &CastKind,
ExprValueKind &VK, CXXCastPath &Path);
/// \brief Force an expression with unknown-type to an expression of the
/// given type.
ExprResult forceUnknownAnyToType(Expr *E, QualType ToType);
/// \brief Type-check an expression that's being passed to an
/// __unknown_anytype parameter.
ExprResult checkUnknownAnyArg(SourceLocation callLoc,
Expr *result, QualType ¶mType);
// CheckVectorCast - check type constraints for vectors.
// Since vectors are an extension, there are no C standard reference for this.
// We allow casting between vectors and integer datatypes of the same size.
// returns true if the cast is invalid
bool CheckVectorCast(SourceRange R, QualType VectorTy, QualType Ty,
CastKind &Kind);
/// \brief Prepare `SplattedExpr` for a vector splat operation, adding
/// implicit casts if necessary.
ExprResult prepareVectorSplat(QualType VectorTy, Expr *SplattedExpr);
// CheckExtVectorCast - check type constraints for extended vectors.
// Since vectors are an extension, there are no C standard reference for this.
// We allow casting between vectors and integer datatypes of the same size,
// or vectors and the element type of that vector.
// returns the cast expr
ExprResult CheckExtVectorCast(SourceRange R, QualType DestTy, Expr *CastExpr,
CastKind &Kind);
ExprResult BuildCXXFunctionalCastExpr(TypeSourceInfo *TInfo,
SourceLocation LParenLoc,
Expr *CastExpr,
SourceLocation RParenLoc);
enum ARCConversionResult { ACR_okay, ACR_unbridged, ACR_error };
/// \brief Checks for invalid conversions and casts between
/// retainable pointers and other pointer kinds for ARC and Weak.
ARCConversionResult CheckObjCConversion(SourceRange castRange,
QualType castType, Expr *&op,
CheckedConversionKind CCK,
bool Diagnose = true,
bool DiagnoseCFAudited = false,
BinaryOperatorKind Opc = BO_PtrMemD
);
Expr *stripARCUnbridgedCast(Expr *e);
void diagnoseARCUnbridgedCast(Expr *e);
bool CheckObjCARCUnavailableWeakConversion(QualType castType,
QualType ExprType);
/// checkRetainCycles - Check whether an Objective-C message send
/// might create an obvious retain cycle.
void checkRetainCycles(ObjCMessageExpr *msg);
void checkRetainCycles(Expr *receiver, Expr *argument);
void checkRetainCycles(VarDecl *Var, Expr *Init);
/// checkUnsafeAssigns - Check whether +1 expr is being assigned
/// to weak/__unsafe_unretained type.
bool checkUnsafeAssigns(SourceLocation Loc, QualType LHS, Expr *RHS);
/// checkUnsafeExprAssigns - Check whether +1 expr is being assigned
/// to weak/__unsafe_unretained expression.
void checkUnsafeExprAssigns(SourceLocation Loc, Expr *LHS, Expr *RHS);
/// CheckMessageArgumentTypes - Check types in an Obj-C message send.
/// \param Method - May be null.
/// \param [out] ReturnType - The return type of the send.
/// \return true iff there were any incompatible types.
bool CheckMessageArgumentTypes(QualType ReceiverType,
MultiExprArg Args, Selector Sel,
ArrayRef<SourceLocation> SelectorLocs,
ObjCMethodDecl *Method, bool isClassMessage,
bool isSuperMessage,
SourceLocation lbrac, SourceLocation rbrac,
SourceRange RecRange,
QualType &ReturnType, ExprValueKind &VK);
/// \brief Determine the result of a message send expression based on
/// the type of the receiver, the method expected to receive the message,
/// and the form of the message send.
QualType getMessageSendResultType(QualType ReceiverType,
ObjCMethodDecl *Method,
bool isClassMessage, bool isSuperMessage);
/// \brief If the given expression involves a message send to a method
/// with a related result type, emit a note describing what happened.
void EmitRelatedResultTypeNote(const Expr *E);
/// \brief Given that we had incompatible pointer types in a return
/// statement, check whether we're in a method with a related result
/// type, and if so, emit a note describing what happened.
void EmitRelatedResultTypeNoteForReturn(QualType destType);
class ConditionResult {
Decl *ConditionVar;
FullExprArg Condition;
bool Invalid;
bool HasKnownValue;
bool KnownValue;
friend class Sema;
ConditionResult(Sema &S, Decl *ConditionVar, FullExprArg Condition,
bool IsConstexpr)
: ConditionVar(ConditionVar), Condition(Condition), Invalid(false),
HasKnownValue(IsConstexpr && Condition.get() &&
!Condition.get()->isValueDependent()),
KnownValue(HasKnownValue &&
!!Condition.get()->EvaluateKnownConstInt(S.Context)) {}
explicit ConditionResult(bool Invalid)
: ConditionVar(nullptr), Condition(nullptr), Invalid(Invalid),
HasKnownValue(false), KnownValue(false) {}
public:
ConditionResult() : ConditionResult(false) {}
bool isInvalid() const { return Invalid; }
std::pair<VarDecl *, Expr *> get() const {
return std::make_pair(cast_or_null<VarDecl>(ConditionVar),
Condition.get());
}
llvm::Optional<bool> getKnownValue() const {
if (!HasKnownValue)
return None;
return KnownValue;
}
};
static ConditionResult ConditionError() { return ConditionResult(true); }
enum class ConditionKind {
Boolean, ///< A boolean condition, from 'if', 'while', 'for', or 'do'.
ConstexprIf, ///< A constant boolean condition from 'if constexpr'.
Switch ///< An integral condition for a 'switch' statement.
};
ConditionResult ActOnCondition(Scope *S, SourceLocation Loc,
Expr *SubExpr, ConditionKind CK);
ConditionResult ActOnConditionVariable(Decl *ConditionVar,
SourceLocation StmtLoc,
ConditionKind CK);
DeclResult ActOnCXXConditionDeclaration(Scope *S, Declarator &D);
ExprResult CheckConditionVariable(VarDecl *ConditionVar,
SourceLocation StmtLoc,
ConditionKind CK);
ExprResult CheckSwitchCondition(SourceLocation SwitchLoc, Expr *Cond);
/// CheckBooleanCondition - Diagnose problems involving the use of
/// the given expression as a boolean condition (e.g. in an if
/// statement). Also performs the standard function and array
/// decays, possibly changing the input variable.
///
/// \param Loc - A location associated with the condition, e.g. the
/// 'if' keyword.
/// \return true iff there were any errors
ExprResult CheckBooleanCondition(SourceLocation Loc, Expr *E,
bool IsConstexpr = false);
/// DiagnoseAssignmentAsCondition - Given that an expression is
/// being used as a boolean condition, warn if it's an assignment.
void DiagnoseAssignmentAsCondition(Expr *E);
/// \brief Redundant parentheses over an equality comparison can indicate
/// that the user intended an assignment used as condition.
void DiagnoseEqualityWithExtraParens(ParenExpr *ParenE);
/// CheckCXXBooleanCondition - Returns true if conversion to bool is invalid.
ExprResult CheckCXXBooleanCondition(Expr *CondExpr, bool IsConstexpr = false);
/// ConvertIntegerToTypeWarnOnOverflow - Convert the specified APInt to have
/// the specified width and sign. If an overflow occurs, detect it and emit
/// the specified diagnostic.
void ConvertIntegerToTypeWarnOnOverflow(llvm::APSInt &OldVal,
unsigned NewWidth, bool NewSign,
SourceLocation Loc, unsigned DiagID);
/// Checks that the Objective-C declaration is declared in the global scope.
/// Emits an error and marks the declaration as invalid if it's not declared
/// in the global scope.
bool CheckObjCDeclScope(Decl *D);
/// \brief Abstract base class used for diagnosing integer constant
/// expression violations.
class VerifyICEDiagnoser {
public:
bool Suppress;
VerifyICEDiagnoser(bool Suppress = false) : Suppress(Suppress) { }
virtual void diagnoseNotICE(Sema &S, SourceLocation Loc, SourceRange SR) =0;
virtual void diagnoseFold(Sema &S, SourceLocation Loc, SourceRange SR);
virtual ~VerifyICEDiagnoser() { }
};
/// VerifyIntegerConstantExpression - Verifies that an expression is an ICE,
/// and reports the appropriate diagnostics. Returns false on success.
/// Can optionally return the value of the expression.
ExprResult VerifyIntegerConstantExpression(Expr *E, llvm::APSInt *Result,
VerifyICEDiagnoser &Diagnoser,
bool AllowFold = true);
ExprResult VerifyIntegerConstantExpression(Expr *E, llvm::APSInt *Result,
unsigned DiagID,
bool AllowFold = true);
ExprResult VerifyIntegerConstantExpression(Expr *E,
llvm::APSInt *Result = nullptr);
/// VerifyBitField - verifies that a bit field expression is an ICE and has
/// the correct width, and that the field type is valid.
/// Returns false on success.
/// Can optionally return whether the bit-field is of width 0
ExprResult VerifyBitField(SourceLocation FieldLoc, IdentifierInfo *FieldName,
QualType FieldTy, bool IsMsStruct,
Expr *BitWidth, bool *ZeroWidth = nullptr);
private:
unsigned ForceCUDAHostDeviceDepth = 0;
public:
/// Increments our count of the number of times we've seen a pragma forcing
/// functions to be __host__ __device__. So long as this count is greater
/// than zero, all functions encountered will be __host__ __device__.
void PushForceCUDAHostDevice();
/// Decrements our count of the number of times we've seen a pragma forcing
/// functions to be __host__ __device__. Returns false if the count is 0
/// before incrementing, so you can emit an error.
bool PopForceCUDAHostDevice();
/// Diagnostics that are emitted only if we discover that the given function
/// must be codegen'ed. Because handling these correctly adds overhead to
/// compilation, this is currently only enabled for CUDA compilations.
llvm::DenseMap<CanonicalDeclPtr<FunctionDecl>,
std::vector<PartialDiagnosticAt>>
CUDADeferredDiags;
/// A pair of a canonical FunctionDecl and a SourceLocation. When used as the
/// key in a hashtable, both the FD and location are hashed.
struct FunctionDeclAndLoc {
CanonicalDeclPtr<FunctionDecl> FD;
SourceLocation Loc;
};
/// FunctionDecls and SourceLocations for which CheckCUDACall has emitted a
/// (maybe deferred) "bad call" diagnostic. We use this to avoid emitting the
/// same deferred diag twice.
llvm::DenseSet<FunctionDeclAndLoc> LocsWithCUDACallDiags;
/// An inverse call graph, mapping known-emitted functions to one of their
/// known-emitted callers (plus the location of the call).
///
/// Functions that we can tell a priori must be emitted aren't added to this
/// map.
llvm::DenseMap</* Callee = */ CanonicalDeclPtr<FunctionDecl>,
/* Caller = */ FunctionDeclAndLoc>
CUDAKnownEmittedFns;
/// A partial call graph maintained during CUDA compilation to support
/// deferred diagnostics.
///
/// Functions are only added here if, at the time they're considered, they are
/// not known-emitted. As soon as we discover that a function is
/// known-emitted, we remove it and everything it transitively calls from this
/// set and add those functions to CUDAKnownEmittedFns.
llvm::DenseMap</* Caller = */ CanonicalDeclPtr<FunctionDecl>,
/* Callees = */ llvm::MapVector<CanonicalDeclPtr<FunctionDecl>,
SourceLocation>>
CUDACallGraph;
/// Diagnostic builder for CUDA errors which may or may not be deferred.
///
/// In CUDA, there exist constructs (e.g. variable-length arrays, try/catch)
/// which are not allowed to appear inside __device__ functions and are
/// allowed to appear in __host__ __device__ functions only if the host+device
/// function is never codegen'ed.
///
/// To handle this, we use the notion of "deferred diagnostics", where we
/// attach a diagnostic to a FunctionDecl that's emitted iff it's codegen'ed.
///
/// This class lets you emit either a regular diagnostic, a deferred
/// diagnostic, or no diagnostic at all, according to an argument you pass to
/// its constructor, thus simplifying the process of creating these "maybe
/// deferred" diagnostics.
class CUDADiagBuilder {
public:
enum Kind {
/// Emit no diagnostics.
K_Nop,
/// Emit the diagnostic immediately (i.e., behave like Sema::Diag()).
K_Immediate,
/// Emit the diagnostic immediately, and, if it's a warning or error, also
/// emit a call stack showing how this function can be reached by an a
/// priori known-emitted function.
K_ImmediateWithCallStack,
/// Create a deferred diagnostic, which is emitted only if the function
/// it's attached to is codegen'ed. Also emit a call stack as with
/// K_ImmediateWithCallStack.
K_Deferred
};
CUDADiagBuilder(Kind K, SourceLocation Loc, unsigned DiagID,
FunctionDecl *Fn, Sema &S);
~CUDADiagBuilder();
/// Convertible to bool: True if we immediately emitted an error, false if
/// we didn't emit an error or we created a deferred error.
///
/// Example usage:
///
/// if (CUDADiagBuilder(...) << foo << bar)
/// return ExprError();
///
/// But see CUDADiagIfDeviceCode() and CUDADiagIfHostCode() -- you probably
/// want to use these instead of creating a CUDADiagBuilder yourself.
operator bool() const { return ImmediateDiag.hasValue(); }
template <typename T>
friend const CUDADiagBuilder &operator<<(const CUDADiagBuilder &Diag,
const T &Value) {
if (Diag.ImmediateDiag.hasValue())
*Diag.ImmediateDiag << Value;
else if (Diag.PartialDiag.hasValue())
*Diag.PartialDiag << Value;
return Diag;
}
private:
Sema &S;
SourceLocation Loc;
unsigned DiagID;
FunctionDecl *Fn;
bool ShowCallStack;
// Invariant: At most one of these Optionals has a value.
// FIXME: Switch these to a Variant once that exists.
llvm::Optional<SemaDiagnosticBuilder> ImmediateDiag;
llvm::Optional<PartialDiagnostic> PartialDiag;
};
/// Creates a CUDADiagBuilder that emits the diagnostic if the current context
/// is "used as device code".
///
/// - If CurContext is a __host__ function, does not emit any diagnostics.
/// - If CurContext is a __device__ or __global__ function, emits the
/// diagnostics immediately.
/// - If CurContext is a __host__ __device__ function and we are compiling for
/// the device, creates a diagnostic which is emitted if and when we realize
/// that the function will be codegen'ed.
///
/// Example usage:
///
/// // Variable-length arrays are not allowed in CUDA device code.
/// if (CUDADiagIfDeviceCode(Loc, diag::err_cuda_vla) << CurrentCUDATarget())
/// return ExprError();
/// // Otherwise, continue parsing as normal.
CUDADiagBuilder CUDADiagIfDeviceCode(SourceLocation Loc, unsigned DiagID);
/// Creates a CUDADiagBuilder that emits the diagnostic if the current context
/// is "used as host code".
///
/// Same as CUDADiagIfDeviceCode, with "host" and "device" switched.
CUDADiagBuilder CUDADiagIfHostCode(SourceLocation Loc, unsigned DiagID);
enum CUDAFunctionTarget {
CFT_Device,
CFT_Global,
CFT_Host,
CFT_HostDevice,
CFT_InvalidTarget
};
/// Determines whether the given function is a CUDA device/host/kernel/etc.
/// function.
///
/// Use this rather than examining the function's attributes yourself -- you
/// will get it wrong. Returns CFT_Host if D is null.
CUDAFunctionTarget IdentifyCUDATarget(const FunctionDecl *D,
bool IgnoreImplicitHDAttr = false);
CUDAFunctionTarget IdentifyCUDATarget(const AttributeList *Attr);
/// Gets the CUDA target for the current context.
CUDAFunctionTarget CurrentCUDATarget() {
return IdentifyCUDATarget(dyn_cast<FunctionDecl>(CurContext));
}
// CUDA function call preference. Must be ordered numerically from
// worst to best.
enum CUDAFunctionPreference {
CFP_Never, // Invalid caller/callee combination.
CFP_WrongSide, // Calls from host-device to host or device
// function that do not match current compilation
// mode.
CFP_HostDevice, // Any calls to host/device functions.
CFP_SameSide, // Calls from host-device to host or device
// function matching current compilation mode.
CFP_Native, // host-to-host or device-to-device calls.
};
/// Identifies relative preference of a given Caller/Callee
/// combination, based on their host/device attributes.
/// \param Caller function which needs address of \p Callee.
/// nullptr in case of global context.
/// \param Callee target function
///
/// \returns preference value for particular Caller/Callee combination.
CUDAFunctionPreference IdentifyCUDAPreference(const FunctionDecl *Caller,
const FunctionDecl *Callee);
/// Determines whether Caller may invoke Callee, based on their CUDA
/// host/device attributes. Returns false if the call is not allowed.
///
/// Note: Will return true for CFP_WrongSide calls. These may appear in
/// semantically correct CUDA programs, but only if they're never codegen'ed.
bool IsAllowedCUDACall(const FunctionDecl *Caller,
const FunctionDecl *Callee) {
return IdentifyCUDAPreference(Caller, Callee) != CFP_Never;
}
/// May add implicit CUDAHostAttr and CUDADeviceAttr attributes to FD,
/// depending on FD and the current compilation settings.
void maybeAddCUDAHostDeviceAttrs(FunctionDecl *FD,
const LookupResult &Previous);
public:
/// Check whether we're allowed to call Callee from the current context.
///
/// - If the call is never allowed in a semantically-correct program
/// (CFP_Never), emits an error and returns false.
///
/// - If the call is allowed in semantically-correct programs, but only if
/// it's never codegen'ed (CFP_WrongSide), creates a deferred diagnostic to
/// be emitted if and when the caller is codegen'ed, and returns true.
///
/// Will only create deferred diagnostics for a given SourceLocation once,
/// so you can safely call this multiple times without generating duplicate
/// deferred errors.
///
/// - Otherwise, returns true without emitting any diagnostics.
bool CheckCUDACall(SourceLocation Loc, FunctionDecl *Callee);
/// Set __device__ or __host__ __device__ attributes on the given lambda
/// operator() method.
///
/// CUDA lambdas declared inside __device__ or __global__ functions inherit
/// the __device__ attribute. Similarly, lambdas inside __host__ __device__
/// functions become __host__ __device__ themselves.
void CUDASetLambdaAttrs(CXXMethodDecl *Method);
/// Finds a function in \p Matches with highest calling priority
/// from \p Caller context and erases all functions with lower
/// calling priority.
void EraseUnwantedCUDAMatches(
const FunctionDecl *Caller,
SmallVectorImpl<std::pair<DeclAccessPair, FunctionDecl *>> &Matches);
/// Given a implicit special member, infer its CUDA target from the
/// calls it needs to make to underlying base/field special members.
/// \param ClassDecl the class for which the member is being created.
/// \param CSM the kind of special member.
/// \param MemberDecl the special member itself.
/// \param ConstRHS true if this is a copy operation with a const object on
/// its RHS.
/// \param Diagnose true if this call should emit diagnostics.
/// \return true if there was an error inferring.
/// The result of this call is implicit CUDA target attribute(s) attached to
/// the member declaration.
bool inferCUDATargetForImplicitSpecialMember(CXXRecordDecl *ClassDecl,
CXXSpecialMember CSM,
CXXMethodDecl *MemberDecl,
bool ConstRHS,
bool Diagnose);
/// \return true if \p CD can be considered empty according to CUDA
/// (E.2.3.1 in CUDA 7.5 Programming guide).
bool isEmptyCudaConstructor(SourceLocation Loc, CXXConstructorDecl *CD);
bool isEmptyCudaDestructor(SourceLocation Loc, CXXDestructorDecl *CD);
/// Check whether NewFD is a valid overload for CUDA. Emits
/// diagnostics and invalidates NewFD if not.
void checkCUDATargetOverload(FunctionDecl *NewFD,
const LookupResult &Previous);
/// Copies target attributes from the template TD to the function FD.
void inheritCUDATargetAttrs(FunctionDecl *FD, const FunctionTemplateDecl &TD);
/// \name Code completion
//@{
/// \brief Describes the context in which code completion occurs.
enum ParserCompletionContext {
/// \brief Code completion occurs at top-level or namespace context.
PCC_Namespace,
/// \brief Code completion occurs within a class, struct, or union.
PCC_Class,
/// \brief Code completion occurs within an Objective-C interface, protocol,
/// or category.
PCC_ObjCInterface,
/// \brief Code completion occurs within an Objective-C implementation or
/// category implementation
PCC_ObjCImplementation,
/// \brief Code completion occurs within the list of instance variables
/// in an Objective-C interface, protocol, category, or implementation.
PCC_ObjCInstanceVariableList,
/// \brief Code completion occurs following one or more template
/// headers.
PCC_Template,
/// \brief Code completion occurs following one or more template
/// headers within a class.
PCC_MemberTemplate,
/// \brief Code completion occurs within an expression.
PCC_Expression,
/// \brief Code completion occurs within a statement, which may
/// also be an expression or a declaration.
PCC_Statement,
/// \brief Code completion occurs at the beginning of the
/// initialization statement (or expression) in a for loop.
PCC_ForInit,
/// \brief Code completion occurs within the condition of an if,
/// while, switch, or for statement.
PCC_Condition,
/// \brief Code completion occurs within the body of a function on a
/// recovery path, where we do not have a specific handle on our position
/// in the grammar.
PCC_RecoveryInFunction,
/// \brief Code completion occurs where only a type is permitted.
PCC_Type,
/// \brief Code completion occurs in a parenthesized expression, which
/// might also be a type cast.
PCC_ParenthesizedExpression,
/// \brief Code completion occurs within a sequence of declaration
/// specifiers within a function, method, or block.
PCC_LocalDeclarationSpecifiers
};
void CodeCompleteModuleImport(SourceLocation ImportLoc, ModuleIdPath Path);
void CodeCompleteOrdinaryName(Scope *S,
ParserCompletionContext CompletionContext);
void CodeCompleteDeclSpec(Scope *S, DeclSpec &DS,
bool AllowNonIdentifiers,
bool AllowNestedNameSpecifiers);
struct CodeCompleteExpressionData;
void CodeCompleteExpression(Scope *S,
const CodeCompleteExpressionData &Data);
void CodeCompleteMemberReferenceExpr(Scope *S, Expr *Base,
SourceLocation OpLoc, bool IsArrow,
bool IsBaseExprStatement);
void CodeCompletePostfixExpression(Scope *S, ExprResult LHS);
void CodeCompleteTag(Scope *S, unsigned TagSpec);
void CodeCompleteTypeQualifiers(DeclSpec &DS);
void CodeCompleteFunctionQualifiers(DeclSpec &DS, Declarator &D,
const VirtSpecifiers *VS = nullptr);
void CodeCompleteBracketDeclarator(Scope *S);
void CodeCompleteCase(Scope *S);
void CodeCompleteCall(Scope *S, Expr *Fn, ArrayRef<Expr *> Args);
void CodeCompleteConstructor(Scope *S, QualType Type, SourceLocation Loc,
ArrayRef<Expr *> Args);
void CodeCompleteInitializer(Scope *S, Decl *D);
void CodeCompleteReturn(Scope *S);
void CodeCompleteAfterIf(Scope *S);
void CodeCompleteAssignmentRHS(Scope *S, Expr *LHS);
void CodeCompleteQualifiedId(Scope *S, CXXScopeSpec &SS,
bool EnteringContext);
void CodeCompleteUsing(Scope *S);
void CodeCompleteUsingDirective(Scope *S);
void CodeCompleteNamespaceDecl(Scope *S);
void CodeCompleteNamespaceAliasDecl(Scope *S);
void CodeCompleteOperatorName(Scope *S);
void CodeCompleteConstructorInitializer(
Decl *Constructor,
ArrayRef<CXXCtorInitializer *> Initializers);
void CodeCompleteLambdaIntroducer(Scope *S, LambdaIntroducer &Intro,
bool AfterAmpersand);
void CodeCompleteObjCAtDirective(Scope *S);
void CodeCompleteObjCAtVisibility(Scope *S);
void CodeCompleteObjCAtStatement(Scope *S);
void CodeCompleteObjCAtExpression(Scope *S);
void CodeCompleteObjCPropertyFlags(Scope *S, ObjCDeclSpec &ODS);
void CodeCompleteObjCPropertyGetter(Scope *S);
void CodeCompleteObjCPropertySetter(Scope *S);
void CodeCompleteObjCPassingType(Scope *S, ObjCDeclSpec &DS,
bool IsParameter);
void CodeCompleteObjCMessageReceiver(Scope *S);
void CodeCompleteObjCSuperMessage(Scope *S, SourceLocation SuperLoc,
ArrayRef<IdentifierInfo *> SelIdents,
bool AtArgumentExpression);
void CodeCompleteObjCClassMessage(Scope *S, ParsedType Receiver,
ArrayRef<IdentifierInfo *> SelIdents,
bool AtArgumentExpression,
bool IsSuper = false);
void CodeCompleteObjCInstanceMessage(Scope *S, Expr *Receiver,
ArrayRef<IdentifierInfo *> SelIdents,
bool AtArgumentExpression,
ObjCInterfaceDecl *Super = nullptr);
void CodeCompleteObjCForCollection(Scope *S,
DeclGroupPtrTy IterationVar);
void CodeCompleteObjCSelector(Scope *S,
ArrayRef<IdentifierInfo *> SelIdents);
void CodeCompleteObjCProtocolReferences(
ArrayRef<IdentifierLocPair> Protocols);
void CodeCompleteObjCProtocolDecl(Scope *S);
void CodeCompleteObjCInterfaceDecl(Scope *S);
void CodeCompleteObjCSuperclass(Scope *S,
IdentifierInfo *ClassName,
SourceLocation ClassNameLoc);
void CodeCompleteObjCImplementationDecl(Scope *S);
void CodeCompleteObjCInterfaceCategory(Scope *S,
IdentifierInfo *ClassName,
SourceLocation ClassNameLoc);
void CodeCompleteObjCImplementationCategory(Scope *S,
IdentifierInfo *ClassName,
SourceLocation ClassNameLoc);
void CodeCompleteObjCPropertyDefinition(Scope *S);
void CodeCompleteObjCPropertySynthesizeIvar(Scope *S,
IdentifierInfo *PropertyName);
void CodeCompleteObjCMethodDecl(Scope *S,
bool IsInstanceMethod,
ParsedType ReturnType);
void CodeCompleteObjCMethodDeclSelector(Scope *S,
bool IsInstanceMethod,
bool AtParameterName,
ParsedType ReturnType,
ArrayRef<IdentifierInfo *> SelIdents);
void CodeCompleteObjCClassPropertyRefExpr(Scope *S, IdentifierInfo &ClassName,
SourceLocation ClassNameLoc,
bool IsBaseExprStatement);
void CodeCompletePreprocessorDirective(bool InConditional);
void CodeCompleteInPreprocessorConditionalExclusion(Scope *S);
void CodeCompletePreprocessorMacroName(bool IsDefinition);
void CodeCompletePreprocessorExpression();
void CodeCompletePreprocessorMacroArgument(Scope *S,
IdentifierInfo *Macro,
MacroInfo *MacroInfo,
unsigned Argument);
void CodeCompleteNaturalLanguage();
void CodeCompleteAvailabilityPlatformName();
void GatherGlobalCodeCompletions(CodeCompletionAllocator &Allocator,
CodeCompletionTUInfo &CCTUInfo,
SmallVectorImpl<CodeCompletionResult> &Results);
//@}
//===--------------------------------------------------------------------===//
// Extra semantic analysis beyond the C type system
public:
SourceLocation getLocationOfStringLiteralByte(const StringLiteral *SL,
unsigned ByteNo) const;
private:
void CheckArrayAccess(const Expr *BaseExpr, const Expr *IndexExpr,
const ArraySubscriptExpr *ASE=nullptr,
bool AllowOnePastEnd=true, bool IndexNegated=false);
void CheckArrayAccess(const Expr *E);
// Used to grab the relevant information from a FormatAttr and a
// FunctionDeclaration.
struct FormatStringInfo {
unsigned FormatIdx;
unsigned FirstDataArg;
bool HasVAListArg;
};
static bool getFormatStringInfo(const FormatAttr *Format, bool IsCXXMember,
FormatStringInfo *FSI);
bool CheckFunctionCall(FunctionDecl *FDecl, CallExpr *TheCall,
const FunctionProtoType *Proto);
bool CheckObjCMethodCall(ObjCMethodDecl *Method, SourceLocation loc,
ArrayRef<const Expr *> Args);
bool CheckPointerCall(NamedDecl *NDecl, CallExpr *TheCall,
const FunctionProtoType *Proto);
bool CheckOtherCall(CallExpr *TheCall, const FunctionProtoType *Proto);
void CheckConstructorCall(FunctionDecl *FDecl,
ArrayRef<const Expr *> Args,
const FunctionProtoType *Proto,
SourceLocation Loc);
void checkCall(NamedDecl *FDecl, const FunctionProtoType *Proto,
const Expr *ThisArg, ArrayRef<const Expr *> Args,
bool IsMemberFunction, SourceLocation Loc, SourceRange Range,
VariadicCallType CallType);
bool CheckObjCString(Expr *Arg);
ExprResult CheckOSLogFormatStringArg(Expr *Arg);
ExprResult CheckBuiltinFunctionCall(FunctionDecl *FDecl,
unsigned BuiltinID, CallExpr *TheCall);
bool CheckARMBuiltinExclusiveCall(unsigned BuiltinID, CallExpr *TheCall,
unsigned MaxWidth);
bool CheckNeonBuiltinFunctionCall(unsigned BuiltinID, CallExpr *TheCall);
bool CheckARMBuiltinFunctionCall(unsigned BuiltinID, CallExpr *TheCall);
bool CheckAArch64BuiltinFunctionCall(unsigned BuiltinID, CallExpr *TheCall);
bool CheckMipsBuiltinFunctionCall(unsigned BuiltinID, CallExpr *TheCall);
bool CheckSystemZBuiltinFunctionCall(unsigned BuiltinID, CallExpr *TheCall);
bool CheckX86BuiltinRoundingOrSAE(unsigned BuiltinID, CallExpr *TheCall);
bool CheckX86BuiltinFunctionCall(unsigned BuiltinID, CallExpr *TheCall);
bool CheckPPCBuiltinFunctionCall(unsigned BuiltinID, CallExpr *TheCall);
bool SemaBuiltinVAStartImpl(CallExpr *TheCall);
bool SemaBuiltinVAStart(CallExpr *TheCall);
bool SemaBuiltinMSVAStart(CallExpr *TheCall);
bool SemaBuiltinVAStartARM(CallExpr *Call);
bool SemaBuiltinUnorderedCompare(CallExpr *TheCall);
bool SemaBuiltinFPClassification(CallExpr *TheCall, unsigned NumArgs);
bool SemaBuiltinOSLogFormat(CallExpr *TheCall);
public:
// Used by C++ template instantiation.
ExprResult SemaBuiltinShuffleVector(CallExpr *TheCall);
ExprResult SemaConvertVectorExpr(Expr *E, TypeSourceInfo *TInfo,
SourceLocation BuiltinLoc,
SourceLocation RParenLoc);
private:
bool SemaBuiltinPrefetch(CallExpr *TheCall);
bool SemaBuiltinAllocaWithAlign(CallExpr *TheCall);
bool SemaBuiltinAssume(CallExpr *TheCall);
bool SemaBuiltinAssumeAligned(CallExpr *TheCall);
bool SemaBuiltinLongjmp(CallExpr *TheCall);
bool SemaBuiltinSetjmp(CallExpr *TheCall);
ExprResult SemaBuiltinAtomicOverloaded(ExprResult TheCallResult);
ExprResult SemaBuiltinNontemporalOverloaded(ExprResult TheCallResult);
ExprResult SemaAtomicOpsOverloaded(ExprResult TheCallResult,
AtomicExpr::AtomicOp Op);
bool SemaBuiltinConstantArg(CallExpr *TheCall, int ArgNum,
llvm::APSInt &Result);
bool SemaBuiltinConstantArgRange(CallExpr *TheCall, int ArgNum,
int Low, int High);
bool SemaBuiltinConstantArgMultiple(CallExpr *TheCall, int ArgNum,
unsigned Multiple);
bool SemaBuiltinARMSpecialReg(unsigned BuiltinID, CallExpr *TheCall,
int ArgNum, unsigned ExpectedFieldNum,
bool AllowName);
public:
enum FormatStringType {
FST_Scanf,
FST_Printf,
FST_NSString,
FST_Strftime,
FST_Strfmon,
FST_Kprintf,
FST_FreeBSDKPrintf,
FST_OSTrace,
FST_OSLog,
FST_Unknown
};
static FormatStringType GetFormatStringType(const FormatAttr *Format);
bool FormatStringHasSArg(const StringLiteral *FExpr);
static bool GetFormatNSStringIdx(const FormatAttr *Format, unsigned &Idx);
private:
bool CheckFormatArguments(const FormatAttr *Format,
ArrayRef<const Expr *> Args,
bool IsCXXMember,
VariadicCallType CallType,
SourceLocation Loc, SourceRange Range,
llvm::SmallBitVector &CheckedVarArgs);
bool CheckFormatArguments(ArrayRef<const Expr *> Args,
bool HasVAListArg, unsigned format_idx,
unsigned firstDataArg, FormatStringType Type,
VariadicCallType CallType,
SourceLocation Loc, SourceRange range,
llvm::SmallBitVector &CheckedVarArgs);
void CheckAbsoluteValueFunction(const CallExpr *Call,
const FunctionDecl *FDecl);
void CheckMaxUnsignedZero(const CallExpr *Call, const FunctionDecl *FDecl);
void CheckMemaccessArguments(const CallExpr *Call,
unsigned BId,
IdentifierInfo *FnName);
void CheckStrlcpycatArguments(const CallExpr *Call,
IdentifierInfo *FnName);
void CheckStrncatArguments(const CallExpr *Call,
IdentifierInfo *FnName);
void CheckReturnValExpr(Expr *RetValExp, QualType lhsType,
SourceLocation ReturnLoc,
bool isObjCMethod = false,
const AttrVec *Attrs = nullptr,
const FunctionDecl *FD = nullptr);
void CheckFloatComparison(SourceLocation Loc, Expr* LHS, Expr* RHS);
void CheckImplicitConversions(Expr *E, SourceLocation CC = SourceLocation());
void CheckBoolLikeConversion(Expr *E, SourceLocation CC);
void CheckForIntOverflow(Expr *E);
void CheckUnsequencedOperations(Expr *E);
/// \brief Perform semantic checks on a completed expression. This will either
/// be a full-expression or a default argument expression.
void CheckCompletedExpr(Expr *E, SourceLocation CheckLoc = SourceLocation(),
bool IsConstexpr = false);
void CheckBitFieldInitialization(SourceLocation InitLoc, FieldDecl *Field,
Expr *Init);
/// \brief Check if the given expression contains 'break' or 'continue'
/// statement that produces control flow different from GCC.
void CheckBreakContinueBinding(Expr *E);
/// \brief Check whether receiver is mutable ObjC container which
/// attempts to add itself into the container
void CheckObjCCircularContainer(ObjCMessageExpr *Message);
void AnalyzeDeleteExprMismatch(const CXXDeleteExpr *DE);
void AnalyzeDeleteExprMismatch(FieldDecl *Field, SourceLocation DeleteLoc,
bool DeleteWasArrayForm);
public:
/// \brief Register a magic integral constant to be used as a type tag.
void RegisterTypeTagForDatatype(const IdentifierInfo *ArgumentKind,
uint64_t MagicValue, QualType Type,
bool LayoutCompatible, bool MustBeNull);
struct TypeTagData {
TypeTagData() {}
TypeTagData(QualType Type, bool LayoutCompatible, bool MustBeNull) :
Type(Type), LayoutCompatible(LayoutCompatible),
MustBeNull(MustBeNull)
{}
QualType Type;
/// If true, \c Type should be compared with other expression's types for
/// layout-compatibility.
unsigned LayoutCompatible : 1;
unsigned MustBeNull : 1;
};
/// A pair of ArgumentKind identifier and magic value. This uniquely
/// identifies the magic value.
typedef std::pair<const IdentifierInfo *, uint64_t> TypeTagMagicValue;
private:
/// \brief A map from magic value to type information.
std::unique_ptr<llvm::DenseMap<TypeTagMagicValue, TypeTagData>>
TypeTagForDatatypeMagicValues;
/// \brief Peform checks on a call of a function with argument_with_type_tag
/// or pointer_with_type_tag attributes.
void CheckArgumentWithTypeTag(const ArgumentWithTypeTagAttr *Attr,
const Expr * const *ExprArgs);
/// \brief Check if we are taking the address of a packed field
/// as this may be a problem if the pointer value is dereferenced.
void CheckAddressOfPackedMember(Expr *rhs);
/// \brief The parser's current scope.
///
/// The parser maintains this state here.
Scope *CurScope;
mutable IdentifierInfo *Ident_super;
mutable IdentifierInfo *Ident___float128;
/// Nullability type specifiers.
IdentifierInfo *Ident__Nonnull = nullptr;
IdentifierInfo *Ident__Nullable = nullptr;
IdentifierInfo *Ident__Null_unspecified = nullptr;
IdentifierInfo *Ident_NSError = nullptr;
protected:
friend class Parser;
friend class InitializationSequence;
friend class ASTReader;
friend class ASTDeclReader;
friend class ASTWriter;
public:
/// Retrieve the keyword associated
IdentifierInfo *getNullabilityKeyword(NullabilityKind nullability);
/// The struct behind the CFErrorRef pointer.
RecordDecl *CFError = nullptr;
bool isCFError(RecordDecl *D);
/// Retrieve the identifier "NSError".
IdentifierInfo *getNSErrorIdent();
/// \brief Retrieve the parser's current scope.
///
/// This routine must only be used when it is certain that semantic analysis
/// and the parser are in precisely the same context, which is not the case
/// when, e.g., we are performing any kind of template instantiation.
/// Therefore, the only safe places to use this scope are in the parser
/// itself and in routines directly invoked from the parser and *never* from
/// template substitution or instantiation.
Scope *getCurScope() const { return CurScope; }
void incrementMSManglingNumber() const {
return CurScope->incrementMSManglingNumber();
}
IdentifierInfo *getSuperIdentifier() const;
IdentifierInfo *getFloat128Identifier() const;
Decl *getObjCDeclContext() const;
DeclContext *getCurLexicalContext() const {
return OriginalLexicalContext ? OriginalLexicalContext : CurContext;
}
/// \brief The diagnostic we should emit for \c D, or \c AR_Available.
///
/// \param D The declaration to check. Note that this may be altered to point
/// to another declaration that \c D gets it's availability from. i.e., we
/// walk the list of typedefs to find an availability attribute.
///
/// \param Message If non-null, this will be populated with the message from
/// the availability attribute that is selected.
AvailabilityResult ShouldDiagnoseAvailabilityOfDecl(NamedDecl *&D,
std::string *Message);
const DeclContext *getCurObjCLexicalContext() const {
const DeclContext *DC = getCurLexicalContext();
// A category implicitly has the attribute of the interface.
if (const ObjCCategoryDecl *CatD = dyn_cast<ObjCCategoryDecl>(DC))
DC = CatD->getClassInterface();
return DC;
}
/// \brief To be used for checking whether the arguments being passed to
/// function exceeds the number of parameters expected for it.
static bool TooManyArguments(size_t NumParams, size_t NumArgs,
bool PartialOverloading = false) {
// We check whether we're just after a comma in code-completion.
if (NumArgs > 0 && PartialOverloading)
return NumArgs + 1 > NumParams; // If so, we view as an extra argument.
return NumArgs > NumParams;
}
// Emitting members of dllexported classes is delayed until the class
// (including field initializers) is fully parsed.
SmallVector<CXXRecordDecl*, 4> DelayedDllExportClasses;
private:
/// \brief Helper class that collects misaligned member designations and
/// their location info for delayed diagnostics.
struct MisalignedMember {
Expr *E;
RecordDecl *RD;
ValueDecl *MD;
CharUnits Alignment;
MisalignedMember() : E(), RD(), MD(), Alignment() {}
MisalignedMember(Expr *E, RecordDecl *RD, ValueDecl *MD,
CharUnits Alignment)
: E(E), RD(RD), MD(MD), Alignment(Alignment) {}
explicit MisalignedMember(Expr *E)
: MisalignedMember(E, nullptr, nullptr, CharUnits()) {}
bool operator==(const MisalignedMember &m) { return this->E == m.E; }
};
/// \brief Small set of gathered accesses to potentially misaligned members
/// due to the packed attribute.
SmallVector<MisalignedMember, 4> MisalignedMembers;
/// \brief Adds an expression to the set of gathered misaligned members.
void AddPotentialMisalignedMembers(Expr *E, RecordDecl *RD, ValueDecl *MD,
CharUnits Alignment);
public:
/// \brief Diagnoses the current set of gathered accesses. This typically
/// happens at full expression level. The set is cleared after emitting the
/// diagnostics.
void DiagnoseMisalignedMembers();
/// \brief This function checks if the expression is in the sef of potentially
/// misaligned members and it is converted to some pointer type T with lower
/// or equal alignment requirements. If so it removes it. This is used when
/// we do not want to diagnose such misaligned access (e.g. in conversions to
/// void*).
void DiscardMisalignedMemberAddress(const Type *T, Expr *E);
/// \brief This function calls Action when it determines that E designates a
/// misaligned member due to the packed attribute. This is used to emit
/// local diagnostics like in reference binding.
void RefersToMemberWithReducedAlignment(
Expr *E,
llvm::function_ref<void(Expr *, RecordDecl *, FieldDecl *, CharUnits)>
Action);
};
/// \brief RAII object that enters a new expression evaluation context.
class EnterExpressionEvaluationContext {
Sema &Actions;
bool Entered = true;
public:
EnterExpressionEvaluationContext(Sema &Actions,
Sema::ExpressionEvaluationContext NewContext,
Decl *LambdaContextDecl = nullptr,
bool IsDecltype = false,
bool ShouldEnter = true)
: Actions(Actions), Entered(ShouldEnter) {
if (Entered)
Actions.PushExpressionEvaluationContext(NewContext, LambdaContextDecl,
IsDecltype);
}
EnterExpressionEvaluationContext(Sema &Actions,
Sema::ExpressionEvaluationContext NewContext,
Sema::ReuseLambdaContextDecl_t,
bool IsDecltype = false)
: Actions(Actions) {
Actions.PushExpressionEvaluationContext(NewContext,
Sema::ReuseLambdaContextDecl,
IsDecltype);
}
enum InitListTag { InitList };
EnterExpressionEvaluationContext(Sema &Actions, InitListTag,
bool ShouldEnter = true)
: Actions(Actions), Entered(false) {
// In C++11 onwards, narrowing checks are performed on the contents of
// braced-init-lists, even when they occur within unevaluated operands.
// Therefore we still need to instantiate constexpr functions used in such
// a context.
if (ShouldEnter && Actions.isUnevaluatedContext() &&
Actions.getLangOpts().CPlusPlus11) {
Actions.PushExpressionEvaluationContext(Sema::UnevaluatedList, nullptr,
false);
Entered = true;
}
}
~EnterExpressionEvaluationContext() {
if (Entered)
Actions.PopExpressionEvaluationContext();
}
};
DeductionFailureInfo
MakeDeductionFailureInfo(ASTContext &Context, Sema::TemplateDeductionResult TDK,
sema::TemplateDeductionInfo &Info);
/// \brief Contains a late templated function.
/// Will be parsed at the end of the translation unit, used by Sema & Parser.
struct LateParsedTemplate {
CachedTokens Toks;
/// \brief The template function declaration to be late parsed.
Decl *D;
};
} // end namespace clang
namespace llvm {
// Hash a FunctionDeclAndLoc by looking at both its FunctionDecl and its
// SourceLocation.
template <> struct DenseMapInfo<clang::Sema::FunctionDeclAndLoc> {
using FunctionDeclAndLoc = clang::Sema::FunctionDeclAndLoc;
using FDBaseInfo = DenseMapInfo<clang::CanonicalDeclPtr<clang::FunctionDecl>>;
static FunctionDeclAndLoc getEmptyKey() {
return {FDBaseInfo::getEmptyKey(), clang::SourceLocation()};
}
static FunctionDeclAndLoc getTombstoneKey() {
return {FDBaseInfo::getTombstoneKey(), clang::SourceLocation()};
}
static unsigned getHashValue(const FunctionDeclAndLoc &FDL) {
return hash_combine(FDBaseInfo::getHashValue(FDL.FD),
FDL.Loc.getRawEncoding());
}
static bool isEqual(const FunctionDeclAndLoc &LHS,
const FunctionDeclAndLoc &RHS) {
return LHS.FD == RHS.FD && LHS.Loc == RHS.Loc;
}
};
} // namespace llvm
#endif
|
GB_binop__bxor_int16.c |
//------------------------------------------------------------------------------
// GB_binop: hard-coded functions for each built-in binary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2022, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated2/ folder, do not edit it
// (it is auto-generated from Generator/*).
#include "GB.h"
#ifndef GBCUDA_DEV
#include "GB_emult.h"
#include "GB_control.h"
#include "GB_ek_slice.h"
#include "GB_dense.h"
#include "GB_atomics.h"
#include "GB_bitmap_assign_methods.h"
#include "GB_binop__include.h"
// C=binop(A,B) is defined by the following types and operators:
// A+B function (eWiseAdd): GB (_AaddB__bxor_int16)
// A.*B function (eWiseMult): GB (_AemultB_08__bxor_int16)
// A.*B function (eWiseMult): GB (_AemultB_02__bxor_int16)
// A.*B function (eWiseMult): GB (_AemultB_04__bxor_int16)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__bxor_int16)
// A*D function (colscale): GB ((none))
// D*A function (rowscale): GB ((none))
// C+=B function (dense accum): GB (_Cdense_accumB__bxor_int16)
// C+=b function (dense accum): GB (_Cdense_accumb__bxor_int16)
// C+=A+B function (dense ewise3): GB ((none))
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__bxor_int16)
// C=scalar+B GB (_bind1st__bxor_int16)
// C=scalar+B' GB (_bind1st_tran__bxor_int16)
// C=A+scalar GB (_bind2nd__bxor_int16)
// C=A'+scalar GB (_bind2nd_tran__bxor_int16)
// C type: int16_t
// A type: int16_t
// A pattern? 0
// B type: int16_t
// B pattern? 0
// BinaryOp: cij = (aij) ^ (bij)
#define GB_ATYPE \
int16_t
#define GB_BTYPE \
int16_t
#define GB_CTYPE \
int16_t
// true if the types of A and B are identical
#define GB_ATYPE_IS_BTYPE \
1
// true if the types of C and A are identical
#define GB_CTYPE_IS_ATYPE \
1
// true if the types of C and B are identical
#define GB_CTYPE_IS_BTYPE \
1
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA,A_iso) \
int16_t aij = GBX (Ax, pA, A_iso)
// true if values of A are not used
#define GB_A_IS_PATTERN \
0 \
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB,B_iso) \
int16_t bij = GBX (Bx, pB, B_iso)
// true if values of B are not used
#define GB_B_IS_PATTERN \
0 \
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
int16_t t
// cij = Ax [pA]
#define GB_COPY_A_TO_C(cij,Ax,pA,A_iso) \
cij = GBX (Ax, pA, A_iso)
// cij = Bx [pB]
#define GB_COPY_B_TO_C(cij,Bx,pB,B_iso) \
cij = GBX (Bx, pB, B_iso)
#define GB_CX(p) Cx [p]
// binary operator
#define GB_BINOP(z,x,y,i,j) \
z = (x) ^ (y) ;
// true if the binop must be flipped
#define GB_BINOP_FLIP \
0
// op is second
#define GB_OP_IS_SECOND \
0
// do the numerical phases of GB_add and GB_emult
#define GB_PHASE_2_OF_2
// hard-coded loops can be vectorized
#define GB_PRAGMA_SIMD_VECTORIZE GB_PRAGMA_SIMD
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_BXOR || GxB_NO_INT16 || GxB_NO_BXOR_INT16)
//------------------------------------------------------------------------------
// C += A+B, all 3 matrices dense
//------------------------------------------------------------------------------
#if 0
// The op must be MIN, MAX, PLUS, MINUS, RMINUS, TIMES, DIV, or RDIV.
void GB ((none))
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_accum_template.c"
}
#endif
//------------------------------------------------------------------------------
// C = A+B, all 3 matrices dense
//------------------------------------------------------------------------------
void GB (_Cdense_ewise3_noaccum__bxor_int16)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_noaccum_template.c"
}
//------------------------------------------------------------------------------
// C += B, accumulate a sparse matrix into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumB__bxor_int16)
(
GrB_Matrix C,
const GrB_Matrix B,
const int64_t *B_ek_slicing, const int B_ntasks, const int B_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
#include "GB_dense_subassign_23_template.c"
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += b, accumulate a scalar into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumb__bxor_int16)
(
GrB_Matrix C,
const GB_void *p_bwork,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
// get the scalar b for C += b, of type int16_t
int16_t bwork = (*((int16_t *) p_bwork)) ;
#include "GB_dense_subassign_22_template.c"
return (GrB_SUCCESS) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = A*D, column scale with diagonal D matrix
//------------------------------------------------------------------------------
#if 0
GrB_Info GB ((none))
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix D,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int16_t *restrict Cx = (int16_t *) C->x ;
#include "GB_AxB_colscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
//------------------------------------------------------------------------------
// C = D*B, row scale with diagonal D matrix
//------------------------------------------------------------------------------
#if 0
GrB_Info GB ((none))
(
GrB_Matrix C,
const GrB_Matrix D,
const GrB_Matrix B,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int16_t *restrict Cx = (int16_t *) C->x ;
#include "GB_AxB_rowscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
//------------------------------------------------------------------------------
// eWiseAdd: C=A+B, C<M>=A+B, C<!M>=A+B
//------------------------------------------------------------------------------
GrB_Info GB (_AaddB__bxor_int16)
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool is_eWiseUnion,
const GB_void *alpha_scalar_in,
const GB_void *beta_scalar_in,
const bool Ch_is_Mh,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GB_WERK_DECLARE (M_ek_slicing, int64_t) ;
GB_WERK_DECLARE (A_ek_slicing, int64_t) ;
GB_WERK_DECLARE (B_ek_slicing, int64_t) ;
int16_t alpha_scalar ;
int16_t beta_scalar ;
if (is_eWiseUnion)
{
alpha_scalar = (*((int16_t *) alpha_scalar_in)) ;
beta_scalar = (*((int16_t *) beta_scalar_in )) ;
}
#include "GB_add_template.c"
GB_FREE_WORKSPACE ;
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, or C<M!>=A.*B where C is sparse/hyper
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_08__bxor_int16)
(
GrB_Matrix C,
const int C_sparsity,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_08_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<#> = A.*B when A is sparse/hyper and B is bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_02__bxor_int16)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool flipxy,
const int64_t *restrict Cp_kfirst,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if GB_BINOP_FLIP
// The operator is not commutative, and does not have a flipped
// variant. For example z=atan2(y,x).
if (flipxy)
{
// use fmult(y,x)
#undef GB_FLIPPED
#define GB_FLIPPED 1
#include "GB_emult_02_template.c"
}
else
{
// use fmult(x,y)
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
}
#else
// No need to handle the flip: the operator is either commutative, or
// has been handled by changing z=div(y,x) to z=rdiv(x,y) for example.
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<M> = A.*B, M sparse/hyper, A and B bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_04__bxor_int16)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict Cp_kfirst,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_04_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, C<!M>=A.*B where C is bitmap
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_bitmap__bxor_int16)
(
GrB_Matrix C,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_bitmap_emult_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (x,Bx): apply a binary operator to a matrix with scalar bind1st
//------------------------------------------------------------------------------
GrB_Info GB (_bind1st__bxor_int16)
(
GB_void *Cx_output, // Cx and Bx may be aliased
const GB_void *x_input,
const GB_void *Bx_input,
const int8_t *restrict Bb,
int64_t bnz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int16_t *Cx = (int16_t *) Cx_output ;
int16_t x = (*((int16_t *) x_input)) ;
int16_t *Bx = (int16_t *) Bx_input ;
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < bnz ; p++)
{
if (!GBB (Bb, p)) continue ;
int16_t bij = GBX (Bx, p, false) ;
Cx [p] = (x) ^ (bij) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB (_bind2nd__bxor_int16)
(
GB_void *Cx_output, // Cx and Ax may be aliased
const GB_void *Ax_input,
const GB_void *y_input,
const int8_t *restrict Ab,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
int16_t *Cx = (int16_t *) Cx_output ;
int16_t *Ax = (int16_t *) Ax_input ;
int16_t y = (*((int16_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
int16_t aij = GBX (Ax, p, false) ;
Cx [p] = (aij) ^ (y) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (x, A'): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (x, aij), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
int16_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = (x) ^ (aij) ; \
}
GrB_Info GB (_bind1st_tran__bxor_int16)
(
GrB_Matrix C,
const GB_void *x_input,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
// GB_unop_transpose.c uses GB_ATYPE, but A is
// the 2nd input to binary operator z=f(x,y).
#undef GB_ATYPE
#define GB_ATYPE \
int16_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int16_t x = (*((const int16_t *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
int16_t
}
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (aij, y), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
int16_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = (aij) ^ (y) ; \
}
GrB_Info GB (_bind2nd_tran__bxor_int16)
(
GrB_Matrix C,
const GrB_Matrix A,
const GB_void *y_input,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int16_t y = (*((const int16_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
softmax-inl.h | /*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
* under the License.
*/
/*!
* Copyright (c) 2017 by Contributors
* \file softmax-inl.h
* \brief
*/
#ifndef MXNET_OPERATOR_NN_SOFTMAX_INL_H_
#define MXNET_OPERATOR_NN_SOFTMAX_INL_H_
#include <algorithm>
#include <string>
#include <utility>
#include <vector>
#include "../mxnet_op.h"
#include "../operator_common.h"
#include "../tensor/broadcast_reduce_op.h"
namespace mxnet {
namespace op {
namespace mxnet_op {
struct softmax_fwd {
template<typename AType>
MSHADOW_XINLINE static AType Map(float a, AType b) {
return AType(expf(a)/b);
}
template<typename AType>
MSHADOW_XINLINE static AType Map(double a, AType b) {
return AType(exp(a)/b);
}
};
struct log_softmax_fwd {
template<typename DType>
MSHADOW_XINLINE static float Map(DType a, float b) {
return a - logf(b);
}
template<typename DType>
MSHADOW_XINLINE static double Map(DType a, double b) {
return a - log(b);
}
};
template<typename OP, bool negate, typename AType, typename DType, typename OType, int ndim>
inline void Softmax(Stream<cpu> *s, DType *in, OType *out,
Shape<ndim> shape, int axis, const DType temperature) {
index_t M = shape[axis];
index_t N = shape.Size()/M;
Shape<ndim> stride = calc_stride(shape);
Shape<ndim> sshape = shape;
sshape[axis] = 1;
index_t sa = stride[axis];
#pragma omp parallel for
for (index_t i = 0; i < N; ++i) {
index_t base = unravel_dot(i, sshape, stride);
DType mmax = negate ? -in[base] : in[base];
DType val;
for (index_t j = 1; j < M; ++j) {
val = negate ? -in[base + j*sa] : in[base + j*sa];
if (mmax < val) mmax = val;
}
AType sum = AType(0);
DType in_val;
// By default temperature is 1.0.
// Adding a branch here to save the CPU 'divide-by-1' computation at runtime
if (temperature == 1.0) {
for (index_t j = 0; j < M; ++j) {
in_val = negate ? -in[base + j*sa] : in[base + j*sa];
sum += std::exp(in_val - mmax);
}
for (index_t j = 0; j < M; ++j) {
in_val = negate ? -in[base + j*sa] : in[base + j*sa];
out[base + j*sa] = OP::Map(in_val - mmax, sum);
}
} else {
for (index_t j = 0; j < M; ++j) {
in_val = negate ? -in[base + j*sa] : in[base + j*sa];
sum += std::exp((in_val - mmax)/temperature);
}
for (index_t j = 0; j < M; ++j) {
in_val = negate ? -in[base + j*sa] : in[base + j*sa];
out[base + j*sa] = OP::Map((in_val - mmax)/temperature, sum);
}
}
}
}
template<typename OP, bool negate, typename AType, typename DType, typename OType,
typename IType, int ndim>
inline void SoftmaxWithLength(Stream<cpu> *s, DType *in, OType *out, IType *length,
Shape<ndim> shape, int axis, const DType temperature) {
index_t M = shape[axis];
index_t N = shape.Size()/M;
Shape<ndim> stride = calc_stride(shape);
Shape<ndim> sshape = shape;
sshape[axis] = 1;
index_t sa = stride[axis];
#pragma omp parallel for
for (index_t i = 0; i < N; ++i) {
index_t len = static_cast<index_t>(length[i]);
index_t base = unravel_dot(i, sshape, stride);
DType mmax = negate ? -in[base] : in[base];
DType val;
for (index_t j = 1; j < len; ++j) {
val = negate ? -in[base + j*sa] : in[base + j*sa];
if (mmax < val) mmax = val;
}
for (index_t j = len; j < M; ++j) {
out[base + j*sa] = OType(0.0f);
}
AType sum = AType(0);
DType in_val;
// By default temperature is 1.0.
// Adding a branch here to save the CPU 'divide-by-1' computation at runtime
if (temperature == 1.0) {
for (index_t j = 0; j < len; ++j) {
in_val = negate ? -in[base + j*sa] : in[base + j*sa];
sum += std::exp(in_val - mmax);
}
for (index_t j = 0; j < len; ++j) {
in_val = negate ? -in[base + j*sa] : in[base + j*sa];
out[base + j*sa] = OP::Map(in_val - mmax, sum);
}
} else {
for (index_t j = 0; j < len; ++j) {
in_val = negate ? -in[base + j*sa] : in[base + j*sa];
sum += std::exp((in_val - mmax)/temperature);
}
for (index_t j = 0; j < len; ++j) {
in_val = negate ? -in[base + j*sa] : in[base + j*sa];
out[base + j*sa] = OP::Map((in_val - mmax)/temperature, sum);
}
}
}
}
struct softmax_bwd {
template<typename DType, typename AType>
MSHADOW_XINLINE static AType Map(DType ograd, DType out, AType sum) {
return AType(out * (ograd - sum));
}
};
struct log_softmax_bwd {
template<typename AType>
MSHADOW_XINLINE static AType Map(float ograd, float out, AType sum) {
return AType(ograd - expf(out)*sum);
}
template<typename AType>
MSHADOW_XINLINE static AType Map(double ograd, double out, AType sum) {
return AType(ograd - exp(out)*sum);
}
};
template<typename OP1, typename OP2, int Req, bool negate,
typename AType, typename DType, typename OType, int ndim>
inline void SoftmaxGrad(Stream<cpu> *s, OType *out, OType *ograd,
DType *igrad, Shape<ndim> shape, int axis,
const DType temperature) {
index_t M = shape[axis];
index_t N = shape.Size()/M;
Shape<ndim> stride = calc_stride(shape);
Shape<ndim> sshape = shape;
sshape[axis] = 1;
index_t sa = stride[axis];
#pragma omp parallel for
for (index_t i = 0; i < N; ++i) {
index_t base = unravel_dot(i, sshape, stride);
AType sum = AType(0);
for (index_t j = 0; j < M; ++j) {
sum += OP1::Map(ograd[base + j*sa], out[base + j*sa]);
}
// By default temperature is 1.0.
// Adding a branch here to save the CPU 'divide-by-1' computation at runtime
DType final_result;
if (temperature == 1.0) {
for (index_t j = 0; j < M; ++j) {
final_result = negate ?
-OP2::Map(ograd[base + j*sa], out[base + j*sa], sum) :
OP2::Map(ograd[base + j*sa], out[base + j*sa], sum);
KERNEL_ASSIGN(igrad[base + j*sa], Req, final_result);
}
} else {
for (index_t j = 0; j < M; ++j) {
final_result = negate ?
-OP2::Map(ograd[base + j*sa], out[base + j*sa], sum) / temperature :
OP2::Map(ograd[base + j*sa], out[base + j*sa], sum) / temperature;
KERNEL_ASSIGN(igrad[base + j*sa], Req, final_result);
}
}
}
}
template<typename OP1, typename OP2, int Req, bool negate,
typename AType, typename DType, typename OType, typename IType, int ndim>
inline void SoftmaxWithLengthGrad(Stream<cpu> *s, OType *out, OType *ograd,
DType *igrad, IType *length, Shape<ndim> shape,
int axis, const DType temperature) {
index_t M = shape[axis];
index_t N = shape.Size()/M;
Shape<ndim> stride = calc_stride(shape);
Shape<ndim> sshape = shape;
sshape[axis] = 1;
index_t sa = stride[axis];
#pragma omp parallel for
for (index_t i = 0; i < N; ++i) {
index_t base = unravel_dot(i, sshape, stride);
index_t len = static_cast<index_t>(length[i]);
AType sum = AType(0);
for (index_t j = 0; j < len; ++j) {
sum += OP1::Map(ograd[base + j*sa], out[base + j*sa]);
}
// By default temperature is 1.0.
// Adding a branch here to save the CPU 'divide-by-1' computation at runtime
DType final_result;
if (temperature == 1.0) {
for (index_t j = 0; j < M; ++j) {
final_result = negate ?
-OP2::Map(ograd[base + j*sa], out[base + j*sa], sum) :
OP2::Map(ograd[base + j*sa], out[base + j*sa], sum);
final_result = (j < len) ? final_result : DType(0.0f);
KERNEL_ASSIGN(igrad[base + j*sa], Req, final_result);
}
} else {
for (index_t j = 0; j < M; ++j) {
final_result = negate ?
-OP2::Map(ograd[base + j*sa], out[base + j*sa], sum) / temperature :
OP2::Map(ograd[base + j*sa], out[base + j*sa], sum) / temperature;
final_result = (j < len) ? final_result : DType(0.0f);
KERNEL_ASSIGN(igrad[base + j*sa], Req, final_result);
}
}
}
}
#ifdef __CUDACC__
template<int x_bits, typename OP, bool negate, typename AType, int ndim,
typename DType, typename OType>
__global__ void softmax_compute_kernel(DType *in, OType *out, index_t M, int axis,
Shape<ndim> sshape, Shape<ndim> stride,
const double temperature) {
const unsigned x_size = 1 << x_bits;
__shared__ AType smem[x_size];
index_t sa = stride[axis];
index_t base = unravel_dot(blockIdx.x, sshape, stride);
index_t x = threadIdx.x;
red::maximum::SetInitValue(smem[x]);
for (index_t i = x; i < M; i += x_size) {
smem[x] = ::max(smem[x], negate ? -in[base + i*sa] : in[base + i*sa]);
}
__syncthreads();
cuda::Reduce1D<red::maximum, x_bits>(smem);
__syncthreads();
DType smax = smem[0];
__syncthreads();
red::sum::SetInitValue(smem[x]);
DType val;
for (index_t i = x; i < M; i += x_size) {
val = negate ? -in[base + i*sa]:in[base + i*sa];
smem[x] += static_cast<AType>(expf((val - smax) / static_cast<AType>(temperature)));
}
__syncthreads();
cuda::Reduce1D<red::sum, x_bits>(smem);
__syncthreads();
AType ssum = smem[0];
__syncthreads();
for (index_t i = x; i < M; i += x_size) {
val = negate ? -in[base + i*sa] : in[base + i*sa];
out[base + i*sa] = OP::Map((val - smax)/static_cast<DType>(temperature), ssum);
}
}
template<typename OP, bool negate, typename AType, typename DType, typename OType, int ndim>
inline void Softmax(Stream<gpu> *s, DType *in, OType *out,
Shape<ndim> shape, int axis, const double temperature) {
const int x_bits = 7;
const int x_size = 1 << x_bits;
index_t M = shape[axis];
index_t N = shape.Size()/M;
Shape<ndim> stride = calc_stride(shape);
Shape<ndim> sshape = shape;
sshape[axis] = 1;
softmax_compute_kernel<x_bits, OP, negate, AType, ndim>
<<<N, x_size, 0, mshadow::Stream<gpu>::GetStream(s)>>>(
in, out, M, axis, sshape, stride, temperature);
MSHADOW_CUDA_POST_KERNEL_CHECK(softmax_compute_kernel);
}
template<int x_bits, typename OP, bool negate, typename AType, int ndim,
typename DType, typename OType, typename IType>
__global__ void softmax_with_length_kernel(DType *in, OType *out, IType *length,
index_t M, int axis, Shape<ndim> sshape,
Shape<ndim> stride, const double temperature) {
const unsigned x_size = 1 << x_bits;
__shared__ AType smem[x_size];
index_t sa = stride[axis];
index_t base = unravel_dot(blockIdx.x, sshape, stride);
index_t x = threadIdx.x;
index_t len = static_cast<index_t>(length[blockIdx.x]);
red::maximum::SetInitValue(smem[x]);
for (index_t i = x; i < len; i += x_size) {
smem[x] = ::max(smem[x], negate ? -in[base + i*sa] : in[base + i*sa]);
}
__syncthreads();
cuda::Reduce1D<red::maximum, x_bits>(smem);
__syncthreads();
DType smax = smem[0];
__syncthreads();
red::sum::SetInitValue(smem[x]);
DType val;
for (index_t i = x; i < len; i += x_size) {
val = negate ? -in[base + i*sa]:in[base + i*sa];
smem[x] += static_cast<AType>(expf((val - smax) / static_cast<AType>(temperature)));
}
__syncthreads();
cuda::Reduce1D<red::sum, x_bits>(smem);
__syncthreads();
AType ssum = smem[0];
__syncthreads();
for (index_t i = x; i < M; i += x_size) {
val = negate ? -in[base + i*sa] : in[base + i*sa];
out[base + i*sa] =
(i < len) ? OType(OP::Map((val - smax)/static_cast<DType>(temperature), ssum)) : OType(0.0f);
}
}
template<typename OP, bool negate, typename AType, typename DType, typename OType,
typename IType, int ndim>
inline void SoftmaxWithLength(Stream<gpu> *s, DType *in, OType *out, IType *length,
Shape<ndim> shape, int axis, const double temperature) {
const int x_bits = 7;
const int x_size = 1 << x_bits;
index_t M = shape[axis];
index_t N = shape.Size()/M;
Shape<ndim> stride = calc_stride(shape);
Shape<ndim> sshape = shape;
sshape[axis] = 1;
softmax_with_length_kernel<x_bits, OP, negate, AType, ndim>
<<<N, x_size, 0, mshadow::Stream<gpu>::GetStream(s)>>>(
in, out, length, M, axis, sshape, stride, temperature);
MSHADOW_CUDA_POST_KERNEL_CHECK(softmax_compute_kernel);
}
template<int x_bits, typename OP1, typename OP2, int Req, bool negate, typename AType, int ndim,
typename DType, typename OType>
__global__ void softmax_gradient_kernel(OType *out, OType *ograd, DType *igrad,
index_t M, int axis, Shape<ndim> sshape,
Shape<ndim> stride, const double temperature) {
const unsigned x_size = 1 << x_bits;
__shared__ AType smem[x_size];
index_t sa = stride[axis];
index_t base = unravel_dot(blockIdx.x, sshape, stride);
index_t x = threadIdx.x;
red::sum::SetInitValue(smem[x]);
for (index_t i = x; i < M; i += x_size) {
smem[x] += OP1::Map(ograd[base + i*sa], out[base + i*sa]);
}
__syncthreads();
cuda::Reduce1D<red::sum, x_bits>(smem);
__syncthreads();
AType ssum = smem[0];
__syncthreads();
DType final_result;
for (index_t i = x; i < M; i += x_size) {
final_result =
negate ?
-OP2::Map(ograd[base + i*sa], out[base + i*sa], ssum) :
OP2::Map(ograd[base + i*sa], out[base + i*sa], ssum);
KERNEL_ASSIGN(igrad[base + i*sa], Req, final_result / static_cast<DType>(temperature));
}
}
template<typename OP1, typename OP2, int Req, bool negate, typename AType, int ndim,
typename DType, typename OType>
inline void SoftmaxGrad(Stream<gpu> *s, OType *out, OType *ograd,
DType *igrad, Shape<ndim> shape, int axis,
const double temperature) {
const int x_bits = 7;
const int x_size = 1 << x_bits;
index_t M = shape[axis];
index_t N = shape.Size()/M;
Shape<ndim> stride = calc_stride(shape);
Shape<ndim> sshape = shape;
sshape[axis] = 1;
softmax_gradient_kernel<x_bits, OP1, OP2, Req, negate, AType, ndim>
<<<N, x_size, 0, mshadow::Stream<gpu>::GetStream(s)>>>(
out, ograd, igrad, M, axis, sshape, stride, temperature);
MSHADOW_CUDA_POST_KERNEL_CHECK(softmax_gradient_kernel);
}
template<int x_bits, typename OP1, typename OP2, int Req, bool negate, typename AType, int ndim,
typename DType, typename OType, typename IType>
__global__ void softmax_with_length_grad_kernel(OType *out, OType *ograd, DType *igrad,
IType *length, index_t M, int axis,
Shape<ndim> sshape, Shape<ndim> stride,
const double temperature) {
const unsigned x_size = 1 << x_bits;
__shared__ AType smem[x_size];
index_t sa = stride[axis];
index_t base = unravel_dot(blockIdx.x, sshape, stride);
index_t x = threadIdx.x;
index_t len = static_cast<index_t>(length[blockIdx.x]);
red::sum::SetInitValue(smem[x]);
for (index_t i = x; i < len; i += x_size) {
smem[x] += OP1::Map(ograd[base + i*sa], out[base + i*sa]);
}
__syncthreads();
cuda::Reduce1D<red::sum, x_bits>(smem);
__syncthreads();
AType ssum = smem[0];
__syncthreads();
DType final_result;
for (index_t i = x; i < M; i += x_size) {
final_result =
negate ?
-OP2::Map(ograd[base + i*sa], out[base + i*sa], ssum) :
OP2::Map(ograd[base + i*sa], out[base + i*sa], ssum);
final_result = (i < len) ? final_result : DType(0.0f);
KERNEL_ASSIGN(igrad[base + i*sa], Req, final_result / static_cast<DType>(temperature));
}
}
template<typename OP1, typename OP2, int Req, bool negate, typename AType, int ndim,
typename DType, typename OType, typename IType>
inline void SoftmaxWithLengthGrad(Stream<gpu> *s, OType *out, OType *ograd,
DType *igrad, IType *length, Shape<ndim> shape, int axis,
const double temperature) {
const int x_bits = 7;
const int x_size = 1 << x_bits;
index_t M = shape[axis];
index_t N = shape.Size()/M;
Shape<ndim> stride = calc_stride(shape);
Shape<ndim> sshape = shape;
sshape[axis] = 1;
softmax_with_length_grad_kernel<x_bits, OP1, OP2, Req, negate, AType, ndim>
<<<N, x_size, 0, mshadow::Stream<gpu>::GetStream(s)>>>(
out, ograd, igrad, length, M, axis, sshape, stride, temperature);
MSHADOW_CUDA_POST_KERNEL_CHECK(softmax_with_length_grad_kernel);
}
#endif
} // namespace mxnet_op
struct SoftmaxParam : public dmlc::Parameter<SoftmaxParam> {
int axis;
dmlc::optional<double> temperature;
dmlc::optional<int> dtype;
dmlc::optional<bool> use_length;
DMLC_DECLARE_PARAMETER(SoftmaxParam) {
DMLC_DECLARE_FIELD(axis).set_default(-1)
.describe("The axis along which to compute softmax.");
DMLC_DECLARE_FIELD(temperature).set_default(dmlc::optional<double>())
.describe("Temperature parameter in softmax");
DMLC_DECLARE_FIELD(dtype)
.add_enum("float16", mshadow::kFloat16)
.add_enum("float32", mshadow::kFloat32)
.add_enum("float64", mshadow::kFloat64)
.set_default(dmlc::optional<int>())
.describe("DType of the output in case this can't be inferred. "
"Defaults to the same as input's dtype if not defined (dtype=None).");
DMLC_DECLARE_FIELD(use_length)
.set_default(dmlc::optional<bool>(false))
.describe("Whether to use the length input as a mask over the data input.");
}
};
static inline bool softmax_has_dtype_override(const nnvm::NodeAttrs& attrs) {
const SoftmaxParam& param = nnvm::get<SoftmaxParam>(attrs.parsed);
return param.dtype.has_value() && param.dtype.value() != -1;
}
static inline bool softmax_use_length(const nnvm::NodeAttrs& attrs) {
const SoftmaxParam& param = nnvm::get<SoftmaxParam>(attrs.parsed);
return param.use_length.value();
}
static inline bool SoftmaxOpType(const nnvm::NodeAttrs& attrs,
std::vector<int>* in_attrs,
std::vector<int>* out_attrs) {
CHECK_EQ(out_attrs->size(), 1);
const SoftmaxParam& param = nnvm::get<SoftmaxParam>(attrs.parsed);
CHECK_EQ(in_attrs->size(), softmax_use_length(attrs) ? 2U : 1U);
if (softmax_has_dtype_override(attrs)) {
TYPE_ASSIGN_CHECK(*out_attrs, 0, param.dtype.value());
type_assign(&(*in_attrs)[0], (*out_attrs)[0]);
return true;
} else {
std::vector<int> tmp = {in_attrs->at(0)};
return ElemwiseType<1, 1>(attrs, &tmp, out_attrs);
}
}
static inline bool SoftmaxOpShape(const nnvm::NodeAttrs& attrs,
mxnet::ShapeVector *in_attrs,
mxnet::ShapeVector *out_attrs) {
CHECK_EQ(out_attrs->size(), 1U);
const SoftmaxParam& param = nnvm::get<SoftmaxParam>(attrs.parsed);
CHECK_EQ(in_attrs->size(), param.use_length.value() ? 2U : 1U);
if (param.use_length.value()) {
mxnet::TShape& dshape = in_attrs->at(0);
mxnet::TShape tmp_shape((dshape.ndim() == 1) ? 1U : dshape.ndim() - 1, 1);
int j = 0;
for (int i = 0; i < dshape.ndim(); ++i) {
if (i != param.axis) {
tmp_shape[j++] = dshape[i];
}
}
SHAPE_ASSIGN_CHECK(*in_attrs, 1, tmp_shape);
}
mxnet::ShapeVector tmp = {in_attrs->at(0)};
return ElemwiseShape<1, 1>(attrs, &tmp, out_attrs);
}
static inline bool SoftmaxGradOpShape(const nnvm::NodeAttrs& attrs,
mxnet::ShapeVector *in_attrs,
mxnet::ShapeVector *out_attrs) {
if (softmax_has_dtype_override(attrs) || softmax_use_length(attrs)) {
if (softmax_use_length(attrs)) {
mxnet::ShapeVector ins = {in_attrs->at(0), in_attrs->at(1), in_attrs->at(3)};
mxnet::ShapeVector dgrad = {out_attrs->at(0)};
bool res = ElemwiseShape<3, 1>(attrs, &ins, &dgrad);
SHAPE_ASSIGN_CHECK(*in_attrs, 0, ins[0]);
SHAPE_ASSIGN_CHECK(*in_attrs, 1, ins[1]);
SHAPE_ASSIGN_CHECK(*in_attrs, 3, ins[2]);
SHAPE_ASSIGN_CHECK(*out_attrs, 0, dgrad[0]);
mxnet::ShapeVector length = {in_attrs->at(2)};
mxnet::ShapeVector lgrad = {out_attrs->at(1)};
res = (res && ElemwiseShape<1, 1>(attrs, &length, &lgrad));
SHAPE_ASSIGN_CHECK(*in_attrs, 2, length[0]);
SHAPE_ASSIGN_CHECK(*out_attrs, 1, lgrad[0]);
return res;
} else {
return ElemwiseShape<3, 1>(attrs, in_attrs, out_attrs);
}
} else {
return ElemwiseShape<2, 1>(attrs, in_attrs, out_attrs);
}
}
static inline bool SoftmaxGradOpType(const nnvm::NodeAttrs& attrs,
std::vector<int>* in_attrs,
std::vector<int>* out_attrs) {
CHECK_EQ(out_attrs->size(), softmax_use_length(attrs) ? 2U : 1U);
if (softmax_has_dtype_override(attrs) || softmax_use_length(attrs)) {
CHECK_EQ(in_attrs->size(), softmax_use_length(attrs) ? 4U : 3U);
int in_dtype = (*in_attrs)[1];
int out_dtype = (*in_attrs)[softmax_use_length(attrs) ? 3 : 2];
TYPE_ASSIGN_CHECK(*in_attrs, 0, out_dtype);
TYPE_ASSIGN_CHECK(*out_attrs, 0, in_dtype);
if (softmax_use_length(attrs)) {
TYPE_ASSIGN_CHECK(*out_attrs, 1, in_attrs->at(2));
}
return (*out_attrs)[0] != -1 && (*in_attrs)[0] != -1 &&
(*out_attrs)[1] != -1 && (*in_attrs)[1] != -1;
} else {
CHECK_EQ(in_attrs->size(), 2U);
int out_dtype = (*in_attrs)[1];
TYPE_ASSIGN_CHECK(*out_attrs, 0, out_dtype);
TYPE_ASSIGN_CHECK(*in_attrs, 0, out_dtype);
return (*out_attrs)[0] != -1 && (*in_attrs)[0] != -1;
}
}
static inline std::vector<std::pair<int, int> >
SoftmaxGradOpInplaceOption(const nnvm::NodeAttrs& attrs) {
if (softmax_has_dtype_override(attrs) || softmax_use_length(attrs)) {
if (softmax_use_length(attrs)) {
return std::vector<std::pair<int, int> >{{0, 0}, {1, 0}, {2, 1}, {3, 0}};
} else {
return std::vector<std::pair<int, int> >{{0, 0}, {1, 0}, {2, 0}};
}
} else {
return std::vector<std::pair<int, int> >{{0, 0}, {1, 0}};
}
}
static inline uint32_t SoftmaxGradOpNumInputs(const nnvm::NodeAttrs& attrs) {
if (softmax_has_dtype_override(attrs) || softmax_use_length(attrs)) {
return softmax_use_length(attrs) ? 4 : 3;
}
return 2;
}
static inline std::vector<std::string> SoftmaxGradOpInputNames(const nnvm::NodeAttrs& attrs) {
if (softmax_has_dtype_override(attrs) || softmax_use_length(attrs)) {
if (softmax_use_length(attrs)) {
return std::vector<std::string>{"ograd", "data", "length", "output"};
} else {
return std::vector<std::string>{"ograd", "data", "output"};
}
} else {
return std::vector<std::string>{"ograd", "output"};
}
}
struct SoftmaxFGradient {
const char *op_name;
std::vector<nnvm::NodeEntry> operator()(const nnvm::NodePtr& n,
const std::vector<nnvm::NodeEntry>& ograds) const {
if (softmax_has_dtype_override(n->attrs) || softmax_use_length(n->attrs)) {
return ElemwiseGradUseInOut {op_name}(n, ograds);
} else {
return ElemwiseGradUseOut {op_name}(n, ograds);
}
}
};
template<typename xpu, typename OP, bool negate = false>
void SoftmaxCompute(const nnvm::NodeAttrs& attrs,
const OpContext& ctx,
const std::vector<TBlob>& inputs,
const std::vector<OpReqType>& req,
const std::vector<TBlob>& outputs) {
using namespace mxnet_op;
if (req[0] == kNullOp) return;
CHECK_NE(req[0], kAddTo);
const SoftmaxParam& param = nnvm::get<SoftmaxParam>(attrs.parsed);
int axis = CheckAxis(param.axis, inputs[0].ndim());
const double temperature = param.temperature.has_value() ?
param.temperature.value() : 1.0;
mxnet::TShape shape = AxisShapeCompact(inputs[0].shape_, &axis, true);
bool safe_acc = dmlc::GetEnv("MXNET_SAFE_ACCUMULATION", false);
if (!safe_acc && inputs[0].type_flag_ == mshadow::kFloat16) {
common::LogOnce("MXNET_SAFE_ACCUMULATION=1 is recommended for softmax with float16 inputs. "
"See https://mxnet.incubator.apache.org/versions/master/faq/env_var.html "
"for more details.");
}
MXNET_REAL_ACC_TYPE_SWITCH(inputs[0].type_flag_, DType, AType, {
MSHADOW_REAL_TYPE_SWITCH(outputs[0].type_flag_, OType, {
if (!param.use_length.value()) {
if (safe_acc) {
if (shape.ndim() == 2) {
Softmax<OP, negate, AType>(
ctx.get_stream<xpu>(), inputs[0].dptr<DType>(),
outputs[0].dptr<OType>(), shape.get<2>(), axis,
static_cast<DType>(temperature));
} else {
Softmax<OP, negate, AType>(
ctx.get_stream<xpu>(), inputs[0].dptr<DType>(),
outputs[0].dptr<OType>(), shape.get<3>(), axis,
static_cast<DType>(temperature));
}
} else {
if (shape.ndim() == 2) {
Softmax<OP, negate, DType>(
ctx.get_stream<xpu>(), inputs[0].dptr<DType>(),
outputs[0].dptr<OType>(), shape.get<2>(), axis,
static_cast<DType>(temperature));
} else {
Softmax<OP, negate, DType>(
ctx.get_stream<xpu>(), inputs[0].dptr<DType>(),
outputs[0].dptr<OType>(), shape.get<3>(), axis,
static_cast<DType>(temperature));
}
}
} else {
MXNET_INT_TYPE_SWITCH(inputs[1].type_flag_, IType, {
if (shape.ndim() == 2) {
SoftmaxWithLength<OP, negate, AType>(
ctx.get_stream<xpu>(), inputs[0].dptr<DType>(),
outputs[0].dptr<OType>(), inputs[1].dptr<IType>(),
shape.get<2>(), axis, static_cast<DType>(temperature));
} else {
SoftmaxWithLength<OP, negate, AType>(
ctx.get_stream<xpu>(), inputs[0].dptr<DType>(),
outputs[0].dptr<OType>(), inputs[1].dptr<IType>(),
shape.get<3>(), axis, static_cast<DType>(temperature));
}
});
}
});
});
}
template<typename xpu, typename OP1, typename OP2, bool negate = false>
void SoftmaxGradCompute(const nnvm::NodeAttrs& attrs,
const OpContext& ctx,
const std::vector<TBlob>& inputs,
const std::vector<OpReqType>& req,
const std::vector<TBlob>& outputs) {
using namespace mxnet_op;
if (req[0] == kNullOp) return;
const SoftmaxParam& param = nnvm::get<SoftmaxParam>(attrs.parsed);
int axis = CheckAxis(param.axis, inputs[0].ndim());
const double temperature = param.temperature.has_value() ?
param.temperature.value() : 1.0;
mxnet::TShape shape = AxisShapeCompact(inputs[0].shape_, &axis, true);
int out_idx = softmax_has_dtype_override(attrs) ? 2 : 1;
out_idx = softmax_use_length(attrs) ? 3 : out_idx;
bool safe_acc = dmlc::GetEnv("MXNET_SAFE_ACCUMULATION", false);
MXNET_REAL_ACC_TYPE_SWITCH(inputs[0].type_flag_, OType, AType, {
MSHADOW_REAL_TYPE_SWITCH(outputs[0].type_flag_, DType, {
MXNET_ASSIGN_REQ_SWITCH(req[0], Req, {
if (!softmax_use_length(attrs)) {
if (safe_acc) {
if (shape.ndim() == 2) {
SoftmaxGrad<OP1, OP2, Req, negate, AType>(
ctx.get_stream<xpu>(), inputs[out_idx].dptr<OType>(),
inputs[0].dptr<OType>(), outputs[0].dptr<DType>(),
shape.get<2>(), axis, static_cast<DType>(temperature));
} else {
SoftmaxGrad<OP1, OP2, Req, negate, AType>(
ctx.get_stream<xpu>(), inputs[out_idx].dptr<OType>(),
inputs[0].dptr<OType>(), outputs[0].dptr<DType>(),
shape.get<3>(), axis, static_cast<DType>(temperature));
}
} else {
if (shape.ndim() == 2) {
SoftmaxGrad<OP1, OP2, Req, negate, DType>(
ctx.get_stream<xpu>(), inputs[out_idx].dptr<OType>(),
inputs[0].dptr<OType>(), outputs[0].dptr<DType>(),
shape.get<2>(), axis, static_cast<DType>(temperature));
} else {
SoftmaxGrad<OP1, OP2, Req, negate, DType>(
ctx.get_stream<xpu>(), inputs[out_idx].dptr<OType>(),
inputs[0].dptr<OType>(), outputs[0].dptr<DType>(),
shape.get<3>(), axis, static_cast<DType>(temperature));
}
}
} else {
MXNET_INT_TYPE_SWITCH(inputs[2].type_flag_, IType, {
if (req[1] != kNullOp) {
mxnet_op::Kernel<mxnet_op::set_zero, xpu>::Launch(
ctx.get_stream<xpu>(), outputs[1].Size(), outputs[1].dptr<IType>());
}
if (shape.ndim() == 2) {
SoftmaxWithLengthGrad<OP1, OP2, Req, negate, AType>(
ctx.get_stream<xpu>(), inputs[out_idx].dptr<OType>(),
inputs[0].dptr<OType>(), outputs[0].dptr<DType>(),
inputs[2].dptr<IType>(), shape.get<2>(), axis, static_cast<DType>(temperature));
} else {
SoftmaxWithLengthGrad<OP1, OP2, Req, negate, AType>(
ctx.get_stream<xpu>(), inputs[out_idx].dptr<OType>(),
inputs[0].dptr<OType>(), outputs[0].dptr<DType>(),
inputs[2].dptr<IType>(), shape.get<3>(), axis, static_cast<DType>(temperature));
}
});
}
});
});
});
}
} // namespace op
} // namespace mxnet
#endif // MXNET_OPERATOR_NN_SOFTMAX_INL_H_
|
conv_dilate.c | /*******************************************************************************
* Copyright 2017-2018 Intel Corporation
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*******************************************************************************/
#include "MKLDNN.h"
void im2col_cpu(
const float* data_im,
float* data_col,
const int channels,
const int height, const int width, const int kernel_h, const int kernel_w,
const int pad_h, const int pad_w,
const int stride_h, const int stride_w,
const int dilation_h, const int dilation_w);
void forward_dilated_conv(
float* input,
float* output,
float* weight,
float* bias, float* input_col,
int N, int inC, int inH, int inW,
int kH, int kW,
int dH, int dW,
int padH, int padW,
int dilH, int dilW,
int outC, int outH, int outW)
{
const long input_batch_size = inC * inH * inW;
const long output_batch_size = outC * outH * outW;
const int dil_kernel_h = (kH - 1) * dilH + 1;
const int dil_kernel_w = (kW - 1) * dilW + 1;
const int colH = (inH + 2 * padH - dil_kernel_h) / dH + 1;
const int colW = (inW + 2 * padW - dil_kernel_w) / dW + 1;
const long map_size = outH * outW;
//temp transpose weight
const long width = inC*kH*kW;
float* weight_t = malloc(outC*width*sizeof(float));
mkl_somatcopy('r', 't', width, outC, 1.0, weight, outC, weight_t, width);
for (int n = 0; n < N; ++n)
{
float* input_batch = input + n * input_batch_size;
float* output_batch = output + n * output_batch_size;
float* input_col_batch = input_col + n * inC * kH * kW * map_size;
im2col_cpu(input_batch, input_col_batch,
inC, inH, inW, kH, kW, padH, padW, dH, dW, dilH, dilW);
if(bias)
{
// add bias to each output channel
for(int c = 0; c < outC; ++c)
{
float* output_ch = output_batch + c * map_size;
for(int i = 0; i < map_size; ++i)
output_ch[i] = bias[c];
}
}
else
{
// add bias to each output channel
for(int c = 0; c < outC; ++c)
{
float* output_ch = output_batch + c * map_size;
for(int i = 0; i < map_size; ++i)
output_ch[i] = 0.0;
}
}
cblas_sgemm(CblasRowMajor, CblasNoTrans, CblasNoTrans, outC, map_size, width, 1.0, weight_t,
width, input_col_batch, map_size, 1.0, output_batch, map_size);
}
free(weight_t);
}
void col2im_cpu(const float* data_col, float* data_im, const int channels,
const int height, const int width, const int kernel_h, const int kernel_w,
const int pad_h, const int pad_w,
const int stride_h, const int stride_w,
const int dilation_h, const int dilation_w);
void backward_dilated_conv(
float* gradout,
float* gradin,
float* weight,
float* gradin_col,
int N, int inC, int inH, int inW,
int kH, int kW,
int dH, int dW,
int padH, int padW,
int dilH, int dilW,
int outC, int outH, int outW)
{
const long width = inC * kH * kW;
const long input_batch_size = inC * inH * inW;
const long output_batch_size = outC * outH * outW;
const int dil_kernel_h = (kH - 1) * dilH + 1;
const int dil_kernel_w = (kW - 1) * dilW + 1;
const int colH = (inH + 2 * padH - dil_kernel_h) / dH + 1;
const int colW = (inW + 2 * padW - dil_kernel_w) / dW + 1;
const long map_size = outH * outW;
for (int n = 0; n < N; ++n)
{
float* gradout_batch = gradout + n * output_batch_size;
cblas_sgemm(CblasRowMajor, CblasNoTrans, CblasNoTrans, width, map_size, outC, 1.0, weight,
outC, gradout_batch, map_size, 0.0, gradin_col, map_size);
float* gradin_batch = gradin + n * input_batch_size;
col2im_cpu(gradin_col, gradin_batch,
inC, inH, inW, kH, kW, padH, padW, dH, dW, dilH, dilW);
}
}
// bdata_dilated_conv(gradout_NCHW, gradbias_ptr, gradweight_ptr, input_column,
void bfilter_dilated_conv(
float* gradout,
float* grad_bias,
float* grad_weight,
float* input_col,
int N, int inC, int inH, int inW,
int kH, int kW,
int dH, int dW,
int padH, int padW,
int dilH, int dilW,
int outC, int outH, int outW)
{
const long width = inC * kH * kW;
const long input_batch_size = width*outH*outW;
const long output_batch_size = outC * outH * outW;
const int dil_kernel_h = (kH - 1) * dilH + 1;
const int dil_kernel_w = (kW - 1) * dilW + 1;
const int colH = (inH + 2 * padH - dil_kernel_h) / dH + 1;
const int colW = (inW + 2 * padW - dil_kernel_w) / dW + 1;
const long output_mapsize = outH * outW;
//zero the grad
for (long i = 0; i < outC*width; ++i)
{
grad_weight[i] = 0;
}
//temp transpose input_column
float* gradout_batch_t = malloc(output_batch_size * sizeof(float));
for (int n = 0; n < N; ++n)
{
float* gradout_batch = gradout + n * output_batch_size;
float* input_batch = input_col + n * input_batch_size;
mkl_somatcopy('r', 't', outC, output_mapsize, 1.0, gradout_batch, output_mapsize, gradout_batch_t, outC);
cblas_sgemm(CblasRowMajor, CblasNoTrans, CblasNoTrans, width, outC, output_mapsize, 1.0, input_batch, output_mapsize,
gradout_batch_t, outC, 1.0, grad_weight, outC);
}
//for grad_bias
if(grad_bias != NULL)
{
for(int i=0; i<outC; ++i)
grad_bias[i] = 0;
for(int b=0; b<N; ++b)
{
for(int c=0; c<outC; ++c)
{
for(long s=0; s<output_mapsize; ++s)
{
grad_bias[c] += gradout[b * output_batch_size + c * output_mapsize + s];
}
}
}
}
free(gradout_batch_t);
}
void im2col_cpu(
const float* data_im,
float* data_col,
const int channels,
const int height, const int width, const int kernel_h, const int kernel_w,
const int pad_h, const int pad_w,
const int stride_h, const int stride_w,
const int dilation_h, const int dilation_w)
{
int dil_kernel_h = (kernel_h - 1) * dilation_h + 1;
int dil_kernel_w = (kernel_w - 1) * dilation_w + 1;
int height_col = (height + 2 * pad_h - dil_kernel_h) / stride_h + 1;
int width_col = (width + 2 * pad_w - dil_kernel_w) / stride_w + 1;
int channels_col = channels * kernel_h * kernel_w;
#pragma omp parallel for if (channels_col > 1)
for (int c = 0; c < channels_col; ++c)
{
int w_offset = c % kernel_w;
int h_offset = (c / kernel_w) % kernel_h;
int c_im = c / kernel_h / kernel_w;
const int hc0 = h_offset * dilation_h - pad_h;
const int wc0 = w_offset * dilation_w - pad_w;
for (int h = 0; h < height_col; ++h)
{
int h_pad = h * stride_h + hc0;
const int row_offset = (c * height_col + h) * width_col;
const int srow_offset = (c_im * height + h_pad) * width;
for (int w = 0; w < width_col; ++w)
{
int w_pad = w * stride_w + wc0;
if ((((unsigned)h_pad) < ((unsigned)height)) && (((unsigned)w_pad) < ((unsigned)width)))
data_col[row_offset + w] = data_im[srow_offset + w_pad];
else
data_col[row_offset + w] = 0.;
}
}
}
}
void col2im_cpu(
const float* data_col,
float* data_im,
const int channels,
const int height, const int width, const int kernel_h, const int kernel_w,
const int pad_h, const int pad_w,
const int stride_h, const int stride_w,
const int dilation_h, const int dilation_w)
{
int dil_patch_h = (kernel_h - 1) * dilation_h + 1;
int dil_patch_w = (kernel_w - 1) * dilation_w + 1;
int height_col = (height + 2 * pad_h - dil_patch_h) / stride_h + 1;
int width_col = (width + 2 * pad_w - dil_patch_w) / stride_w + 1;
long chunk_len = kernel_h * kernel_w;
const long length = height * width * channels;
#pragma omp parallel for
for (long i = 0; i < length; ++i)
{
data_im[i] = 0;
}
#pragma omp parallel for if (channels > 1)
for (int idx = 0; idx < channels; ++idx)
{
for (int inner_idx = 0; inner_idx < chunk_len; ++inner_idx)
{
int c = idx * chunk_len + inner_idx;
int w_offset = c % kernel_w;
int h_offset = (c / kernel_w) % kernel_h;
int c_im = c / kernel_h / kernel_w;
const int hc0 = h_offset * dilation_h - pad_h;
const int wc0 = w_offset * dilation_w - pad_w;
for (int h = 0; h < height_col; ++h)
{
for (int w = 0; w < width_col; ++w)
{
int h_pad = h * stride_h + hc0;
const int srow_offset = (c_im * height + h_pad) * width;
const int row_offset = (c * height_col + h) * width_col;
int w_pad = w * stride_w + wc0;
if ((((unsigned)h_pad) < ((unsigned)height)) && (((unsigned)w_pad) < ((unsigned)width)))
data_im[srow_offset + w_pad] += data_col[row_offset + w];
}
}
}
}
} |
j3d7pt.gold.h | #include <cstring>
using std::memcpy;
void jacobi_gold(double *fout, const double *fin, double h2inv, double a, double b, int L, int M, int N) {
double (*out)[M][N] = (double (*)[M][N]) fout;
double (*in)[M][N] = (double (*)[M][N]) fin;
auto ftemp1 = new double[L * M * N];
auto ftemp2 = new double[L * M * N];
memset(ftemp1, 0, sizeof(double)*L*M*N);
memset(ftemp2, 0, sizeof(double)*L*M*N);
double (*temp1)[M][N] = (double (*)[M][N]) ftemp1;
double (*temp2)[M][N] = (double (*)[M][N]) ftemp2;
memcpy(ftemp1, fin, sizeof(double)*L*M*N);
double c = b * h2inv;
for (int t = 0; t < 2 ; t++) {
#pragma omp parallel for
for (int k = 1; k < L - 1; ++k) {
for (int j = 1; j < M - 1; ++j) {
for (int i = 1; i < N - 1; ++i) {
if (!(t%2)) {
temp2[k][j][i] = a*temp1[k][j][i] - c*temp1[k][j][i+1]
+ c*temp1[k][j][i-1]
+ c*temp1[k][j+1][i]
+ c*temp1[k][j-1][i]
+ c*temp1[k+1][j][i]
+ c*temp1[k-1][j][i]
- c*temp1[k][j][i]*6.0;
} else {
temp1[k][j][i] = a*temp2[k][j][i] - c*temp2[k][j][i+1]
+ c*temp2[k][j][i-1]
+ c*temp2[k][j+1][i]
+ c*temp2[k][j-1][i]
+ c*temp2[k+1][j][i]
+ c*temp2[k-1][j][i]
- c*temp2[k][j][i]*6.0;
}
}
}
}
}
memcpy(fout, ftemp1, sizeof(double)*L*M*N);
}
|
cones.c | #include "cones.h"
#include "linalg.h"
#include "scs.h"
#include "scs_blas.h" /* contains BLAS(X) macros and type info */
#include "util.h"
#define CONE_RATE (2)
#define CONE_TOL (1e-8)
#define CONE_THRESH (1e-6)
#define EXP_CONE_MAX_ITERS (100)
#define POW_CONE_MAX_ITERS (20)
#ifdef USE_LAPACK
void BLAS(syevr)(const char *jobz, const char *range, const char *uplo,
blas_int *n, scs_float *a, blas_int *lda, scs_float *vl,
scs_float *vu, blas_int *il, blas_int *iu, scs_float *abstol,
blas_int *m, scs_float *w, scs_float *z, blas_int *ldz,
blas_int *isuppz, scs_float *work, blas_int *lwork,
blas_int *iwork, blas_int *liwork, blas_int *info);
void BLAS(syr)(const char *uplo, const blas_int *n, const scs_float *alpha,
const scs_float *x, const blas_int *incx, scs_float *a,
const blas_int *lda);
void BLAS(scal)(const blas_int *n, const scs_float *sa, scs_float *sx,
const blas_int *incx);
scs_float BLAS(nrm2)(const blas_int *n, scs_float *x, const blas_int *incx);
#endif
static scs_int get_sd_cone_size(scs_int s) { RETURN(s * (s + 1)) / 2; }
/*
* boundaries will contain array of indices of rows of A corresponding to
* cone boundaries, boundaries[0] is starting index for cones of size strictly
* larger than 1
* RETURNs length of boundaries array, boundaries malloc-ed here so should be
* freed
*/
scs_int SCS(get_cone_boundaries)(const ScsCone *k, scs_int **boundaries) {
scs_int i, count = 0;
scs_int len = 1 + k->qsize + k->ssize + k->ed + k->ep + k->psize;
scs_int *b = (scs_int *)scs_malloc(sizeof(scs_int) * len);
b[count] = k->f + k->l;
count += 1;
if (k->qsize > 0) {
memcpy(&b[count], k->q, k->qsize * sizeof(scs_int));
}
count += k->qsize;
for (i = 0; i < k->ssize; ++i) {
b[count + i] = get_sd_cone_size(k->s[i]);
}
count += k->ssize;
for (i = 0; i < k->ep + k->ed; ++i) {
b[count + i] = 3;
}
count += k->ep + k->ed;
for (i = 0; i < k->psize; ++i) {
b[count + i] = 3;
}
count += k->psize;
*boundaries = b;
RETURN len;
}
static scs_int get_full_cone_dims(const ScsCone *k) {
scs_int i, c = 0;
if (k->f) {
c += k->f;
}
if (k->l) {
c += k->l;
}
if (k->qsize && k->q) {
for (i = 0; i < k->qsize; ++i) {
c += k->q[i];
}
}
if (k->ssize && k->s) {
for (i = 0; i < k->ssize; ++i) {
c += get_sd_cone_size(k->s[i]);
}
}
if (k->ed) {
c += 3 * k->ed;
}
if (k->ep) {
c += 3 * k->ep;
}
if (k->p) {
c += 3 * k->psize;
}
RETURN c;
}
scs_int SCS(validate_cones)(const ScsData *d, const ScsCone *k) {
scs_int i;
if (get_full_cone_dims(k) != d->m) {
scs_printf("cone dimensions %li not equal to num rows in A = m = %li\n",
(long)get_full_cone_dims(k), (long)d->m);
RETURN - 1;
}
if (k->f && k->f < 0) {
scs_printf("free cone error\n");
RETURN - 1;
}
if (k->l && k->l < 0) {
scs_printf("lp cone error\n");
RETURN - 1;
}
if (k->qsize && k->q) {
if (k->qsize < 0) {
scs_printf("soc cone error\n");
RETURN - 1;
}
for (i = 0; i < k->qsize; ++i) {
if (k->q[i] < 0) {
scs_printf("soc cone error\n");
RETURN - 1;
}
}
}
if (k->ssize && k->s) {
if (k->ssize < 0) {
scs_printf("sd cone error\n");
RETURN - 1;
}
for (i = 0; i < k->ssize; ++i) {
if (k->s[i] < 0) {
scs_printf("sd cone error\n");
RETURN - 1;
}
}
}
if (k->ed && k->ed < 0) {
scs_printf("ep cone error\n");
RETURN - 1;
}
if (k->ep && k->ep < 0) {
scs_printf("ed cone error\n");
RETURN - 1;
}
if (k->psize && k->p) {
if (k->psize < 0) {
scs_printf("power cone error\n");
RETURN - 1;
}
for (i = 0; i < k->psize; ++i) {
if (k->p[i] < -1 || k->p[i] > 1) {
scs_printf("power cone error, values must be in [-1,1]\n");
RETURN - 1;
}
}
}
RETURN 0;
}
char *SCS(get_cone_summary)(const ScsInfo *info, ScsConeWork *c) {
char *str = (char *)scs_malloc(sizeof(char) * 64);
sprintf(str, "\tCones: avg projection time: %1.2es\n",
c->total_cone_time / (info->iter + 1) / 1e3);
c->total_cone_time = 0.0;
RETURN str;
}
void SCS(finish_cone)(ScsConeWork *c) {
DEBUG_FUNC
#ifdef USE_LAPACK
if (c->Xs) {
scs_free(c->Xs);
}
if (c->Z) {
scs_free(c->Z);
}
if (c->e) {
scs_free(c->e);
}
if (c->work) {
scs_free(c->work);
}
if (c->iwork) {
scs_free(c->iwork);
}
#endif
if (c) {
scs_free(c);
}
RETURN;
}
char *SCS(get_cone_header)(const ScsCone *k) {
char *tmp = (char *)scs_malloc(sizeof(char) * 512);
scs_int i, soc_vars, soc_blks, sd_vars, sd_blks;
sprintf(tmp, "Cones:");
if (k->f) {
sprintf(tmp + strlen(tmp), "\tprimal zero / dual free vars: %li\n",
(long)k->f);
}
if (k->l) {
sprintf(tmp + strlen(tmp), "\tlinear vars: %li\n", (long)k->l);
}
soc_vars = 0;
soc_blks = 0;
if (k->qsize && k->q) {
soc_blks = k->qsize;
for (i = 0; i < k->qsize; i++) {
soc_vars += k->q[i];
}
sprintf(tmp + strlen(tmp), "\tsoc vars: %li, soc blks: %li\n",
(long)soc_vars, (long)soc_blks);
}
sd_vars = 0;
sd_blks = 0;
if (k->ssize && k->s) {
sd_blks = k->ssize;
for (i = 0; i < k->ssize; i++) {
sd_vars += get_sd_cone_size(k->s[i]);
}
sprintf(tmp + strlen(tmp), "\tsd vars: %li, sd blks: %li\n", (long)sd_vars,
(long)sd_blks);
}
if (k->ep || k->ed) {
sprintf(tmp + strlen(tmp), "\texp vars: %li, dual exp vars: %li\n",
(long)(3 * k->ep), (long)(3 * k->ed));
}
if (k->psize && k->p) {
sprintf(tmp + strlen(tmp), "\tprimal + dual power vars: %li\n",
(long)(3 * k->psize));
}
RETURN tmp;
}
static scs_int is_simple_semi_definite_cone(scs_int *s, scs_int ssize) {
scs_int i;
for (i = 0; i < ssize; i++) {
if (s[i] > 2) {
RETURN 0; /* false */
}
}
RETURN 1; /* true */
}
static scs_float exp_newton_one_d(scs_float rho, scs_float y_hat,
scs_float z_hat) {
scs_float t = MAX(-z_hat, 1e-6);
scs_float f, fp;
scs_int i;
for (i = 0; i < EXP_CONE_MAX_ITERS; ++i) {
f = t * (t + z_hat) / rho / rho - y_hat / rho + log(t / rho) + 1;
fp = (2 * t + z_hat) / rho / rho + 1 / t;
t = t - f / fp;
if (t <= -z_hat) {
RETURN 0;
} else if (t <= 0) {
RETURN z_hat;
} else if (ABS(f) < CONE_TOL) {
break;
}
}
RETURN t + z_hat;
}
static void exp_solve_for_x_with_rho(scs_float *v, scs_float *x,
scs_float rho) {
x[2] = exp_newton_one_d(rho, v[1], v[2]);
x[1] = (x[2] - v[2]) * x[2] / rho;
x[0] = v[0] - rho;
}
static scs_float exp_calc_grad(scs_float *v, scs_float *x, scs_float rho) {
exp_solve_for_x_with_rho(v, x, rho);
if (x[1] <= 1e-12) {
RETURN x[0];
}
RETURN x[0] + x[1] * log(x[1] / x[2]);
}
static void exp_get_rho_ub(scs_float *v, scs_float *x, scs_float *ub,
scs_float *lb) {
*lb = 0;
*ub = 0.125;
while (exp_calc_grad(v, x, *ub) > 0) {
*lb = *ub;
(*ub) *= 2;
}
}
/* project onto the exponential cone, v has dimension *exactly* 3 */
static scs_int proj_exp_cone(scs_float *v) {
scs_int i;
scs_float ub, lb, rho, g, x[3];
scs_float r = v[0], s = v[1], t = v[2];
scs_float tol = CONE_TOL; /* iter < 0 ? CONE_TOL : MAX(CONE_TOL, 1 /
POWF((iter + 1), CONE_RATE)); */
/* v in cl(Kexp) */
if ((s * exp(r / s) - t <= CONE_THRESH && s > 0) ||
(r <= 0 && s == 0 && t >= 0)) {
RETURN 0;
}
/* -v in Kexp^* */
if ((-r < 0 && r * exp(s / r) + exp(1) * t <= CONE_THRESH) ||
(-r == 0 && -s >= 0 && -t >= 0)) {
memset(v, 0, 3 * sizeof(scs_float));
RETURN 0;
}
/* special case with analytical solution */
if (r < 0 && s < 0) {
v[1] = 0.0;
v[2] = MAX(v[2], 0);
RETURN 0;
}
/* iterative procedure to find projection, bisects on dual variable: */
exp_get_rho_ub(v, x, &ub, &lb); /* get starting upper and lower bounds */
for (i = 0; i < EXP_CONE_MAX_ITERS; ++i) {
rho = (ub + lb) / 2; /* halfway between upper and lower bounds */
g = exp_calc_grad(v, x, rho); /* calculates gradient wrt dual var */
if (g > 0) {
lb = rho;
} else {
ub = rho;
}
if (ub - lb < tol) {
break;
}
}
/*
#if EXTRA_VERBOSE > 0
scs_printf("exponential cone proj iters %i\n", i);
#endif
*/
v[0] = x[0];
v[1] = x[1];
v[2] = x[2];
RETURN 0;
}
static scs_int set_up_sd_cone_work_space(ScsConeWork *c, const ScsCone *k) {
#ifdef USE_LAPACK
scs_int i;
blas_int n_max = 0;
scs_float eig_tol = 1e-8;
blas_int neg_one = -1;
blas_int m = 0;
blas_int info = 0;
scs_float wkopt;
#if EXTRA_VERBOSE > 0
#define _STR_EXPAND(tok) #tok
#define _STR(tok) _STR_EXPAND(tok)
scs_printf("BLAS(func) = '%s'\n", _STR(BLAS(func)));
#endif
/* eigenvector decomp workspace */
for (i = 0; i < k->ssize; ++i) {
if (k->s[i] > n_max) {
n_max = (blas_int)k->s[i];
}
}
c->Xs = (scs_float *)scs_calloc(n_max * n_max, sizeof(scs_float));
c->Z = (scs_float *)scs_calloc(n_max * n_max, sizeof(scs_float));
c->e = (scs_float *)scs_calloc(n_max, sizeof(scs_float));
BLAS(syevr)
("Vectors", "All", "Lower", &n_max, c->Xs, &n_max, SCS_NULL, SCS_NULL,
SCS_NULL, SCS_NULL, &eig_tol, &m, c->e, c->Z, &n_max, SCS_NULL, &wkopt,
&neg_one, &(c->liwork), &neg_one, &info);
if (info != 0) {
scs_printf("FATAL: syevr failure, info = %li\n", (long)info);
RETURN - 1;
}
c->lwork = (blas_int)(wkopt + 0.01); /* 0.01 for int casting safety */
c->work = (scs_float *)scs_malloc(c->lwork * sizeof(scs_float));
c->iwork = (blas_int *)scs_malloc(c->liwork * sizeof(blas_int));
if (!c->Xs || !c->Z || !c->e || !c->work || !c->iwork) {
RETURN - 1;
}
RETURN 0;
#else
scs_printf(
"FATAL: Cannot solve SDPs with > 2x2 matrices without linked "
"blas+lapack libraries\n");
scs_printf(
"Install blas+lapack and re-compile SCS with blas+lapack libray "
"locations\n");
RETURN - 1;
#endif
}
ScsConeWork *SCS(init_cone)(const ScsCone *k) {
ScsConeWork *c = (ScsConeWork *)scs_calloc(1, sizeof(ScsConeWork));
#if EXTRA_VERBOSE > 0
scs_printf("init_cone\n");
#endif
c->total_cone_time = 0.0;
if (k->ssize && k->s) {
if (!is_simple_semi_definite_cone(k->s, k->ssize) &&
set_up_sd_cone_work_space(c, k) < 0) {
SCS(finish_cone)(c);
RETURN SCS_NULL;
}
}
#if EXTRA_VERBOSE > 0
scs_printf("init_cone complete\n");
#ifdef MATLAB_MEX_FILE
mexEvalString("drawnow;");
#endif
#endif
RETURN c;
}
static scs_int project_2x2_sdc(scs_float *X) {
scs_float a, b, d, l1, l2, x1, x2, rad;
scs_float sqrt2 = SQRTF(2.0);
a = X[0];
b = X[1] / sqrt2;
d = X[2];
if (ABS(b) < 1e-6) { /* diagonal matrix */
X[0] = MAX(a, 0);
X[1] = 0;
X[2] = MAX(d, 0);
RETURN 0;
}
rad = SQRTF((a - d) * (a - d) + 4 * b * b);
/* l1 >= l2 always, since rad >= 0 */
l1 = 0.5 * (a + d + rad);
l2 = 0.5 * (a + d - rad);
#if EXTRA_VERBOSE > 0
scs_printf(
"2x2 SD: a = %4f, b = %4f, (X[1] = %4f, X[2] = %4f), d = %4f, "
"rad = %4f, l1 = %4f, l2 = %4f\n",
a, b, X[1], X[2], d, rad, l1, l2);
#endif
if (l2 >= 0) { /* both eigs positive already */
RETURN 0;
}
if (l1 <= 0) { /* both eigs negative, set to 0 */
X[0] = 0;
X[1] = 0;
X[2] = 0;
RETURN 0;
}
/* l1 pos, l2 neg */
x1 = 1 / SQRTF(1 + (l1 - a) * (l1 - a) / b / b);
x2 = x1 * (l1 - a) / b;
X[0] = l1 * x1 * x1;
X[1] = (l1 * x1 * x2) * sqrt2;
X[2] = l1 * x2 * x2;
RETURN 0;
}
/* size of X is get_sd_cone_size(n) */
static scs_int proj_semi_definite_cone(scs_float *X, const scs_int n,
ScsConeWork *c) {
/* project onto the positive semi-definite cone */
#ifdef USE_LAPACK
scs_int i;
blas_int one = 1;
blas_int m = 0;
blas_int nb = (blas_int)n;
blas_int nb_plus_one = (blas_int)(n + 1);
blas_int cone_sz = (blas_int)(get_sd_cone_size(n));
scs_float sqrt2 = SQRTF(2.0);
scs_float sqrt2Inv = 1.0 / sqrt2;
scs_float *Xs = c->Xs;
scs_float *Z = c->Z;
scs_float *e = c->e;
scs_float *work = c->work;
blas_int *iwork = c->iwork;
blas_int lwork = c->lwork;
blas_int liwork = c->liwork;
scs_float eig_tol = CONE_TOL; /* iter < 0 ? CONE_TOL : MAX(CONE_TOL, 1 /
POWF(iter + 1, CONE_RATE)); */
scs_float zero = 0.0;
blas_int info = 0;
scs_float vupper;
#endif
if (n == 0) {
RETURN 0;
}
if (n == 1) {
if (X[0] < 0.0) {
X[0] = 0.0;
}
RETURN 0;
}
if (n == 2) {
RETURN project_2x2_sdc(X);
}
#ifdef USE_LAPACK
/* expand lower triangular matrix to full matrix */
for (i = 0; i < n; ++i) {
memcpy(&(Xs[i * (n + 1)]), &(X[i * n - ((i - 1) * i) / 2]),
(n - i) * sizeof(scs_float));
}
/*
rescale so projection works, and matrix norm preserved
see http://www.seas.ucla.edu/~vandenbe/publications/mlbook.pdf pg 3
*/
/* scale diags by sqrt(2) */
BLAS(scal)(&nb, &sqrt2, Xs, &nb_plus_one); /* not n_squared */
/* max-eig upper bounded by frobenius norm */
vupper = 1.1 * sqrt2 *
BLAS(nrm2)(&cone_sz, X,
&one); /* mult by factor to make sure is upper bound */
vupper = MAX(vupper, 0.01);
#if EXTRA_VERBOSE > 0
SCS(print_array)(Xs, n * n, "Xs");
SCS(print_array)(X, get_sd_cone_size(n), "X");
#endif
/* Solve eigenproblem, reuse workspaces */
BLAS(syevr)
("Vectors", "VInterval", "Lower", &nb, Xs, &nb, &zero, &vupper, SCS_NULL,
SCS_NULL, &eig_tol, &m, e, Z, &nb, SCS_NULL, work, &lwork, iwork, &liwork,
&info);
#if EXTRA_VERBOSE > 0
if (info != 0) {
scs_printf("WARN: LAPACK syevr error, info = %i\n", info);
}
scs_printf("syevr input parameter dump:\n");
scs_printf("nb = %li\n", (long)nb);
scs_printf("lwork = %li\n", (long)lwork);
scs_printf("liwork = %li\n", (long)liwork);
scs_printf("vupper = %f\n", vupper);
scs_printf("eig_tol = %e\n", eig_tol);
SCS(print_array)(e, m, "e");
SCS(print_array)(Z, m * n, "Z");
#endif
if (info < 0) {
RETURN - 1;
}
memset(Xs, 0, n * n * sizeof(scs_float));
for (i = 0; i < m; ++i) {
scs_float a = e[i];
BLAS(syr)("Lower", &nb, &a, &(Z[i * n]), &one, Xs, &nb);
}
/* scale diags by 1/sqrt(2) */
BLAS(scal)(&nb, &sqrt2Inv, Xs, &nb_plus_one); /* not n_squared */
/* extract just lower triangular matrix */
for (i = 0; i < n; ++i) {
memcpy(&(X[i * n - ((i - 1) * i) / 2]), &(Xs[i * (n + 1)]),
(n - i) * sizeof(scs_float));
}
#if EXTRA_VERBOSE > 0
SCS(print_array)(Xs, n * n, "Xs");
SCS(print_array)(X, get_sd_cone_size(n), "X");
#endif
#else
scs_printf(
"FAILURE: solving SDP with > 2x2 matrices, but no blas/lapack "
"libraries were linked!\n");
scs_printf("SCS will RETURN nonsense!\n");
SCS(scale_array)(X, NAN, n);
RETURN - 1;
#endif
RETURN 0;
}
static scs_float pow_calc_x(scs_float r, scs_float xh, scs_float rh,
scs_float a) {
scs_float x = 0.5 * (xh + SQRTF(xh * xh + 4 * a * (rh - r) * r));
RETURN MAX(x, 1e-12);
}
static scs_float pow_calcdxdr(scs_float x, scs_float xh, scs_float rh,
scs_float r, scs_float a) {
RETURN a *(rh - 2 * r) / (2 * x - xh);
}
static scs_float pow_calc_f(scs_float x, scs_float y, scs_float r,
scs_float a) {
RETURN POWF(x, a) * POWF(y, (1 - a)) - r;
}
static scs_float pow_calc_fp(scs_float x, scs_float y, scs_float dxdr,
scs_float dydr, scs_float a) {
RETURN POWF(x, a) * POWF(y, (1 - a)) * (a * dxdr / x + (1 - a) * dydr / y) -
1;
}
static void proj_power_cone(scs_float *v, scs_float a) {
scs_float xh = v[0], yh = v[1], rh = ABS(v[2]);
scs_float x = 0.0, y = 0.0, r;
scs_int i;
/* v in K_a */
if (xh >= 0 && yh >= 0 &&
CONE_THRESH + POWF(xh, a) * POWF(yh, (1 - a)) >= rh) {
RETURN;
}
/* -v in K_a^* */
if (xh <= 0 && yh <= 0 &&
CONE_THRESH + POWF(-xh, a) * POWF(-yh, 1 - a) >=
rh * POWF(a, a) * POWF(1 - a, 1 - a)) {
v[0] = v[1] = v[2] = 0;
RETURN;
}
r = rh / 2;
for (i = 0; i < POW_CONE_MAX_ITERS; ++i) {
scs_float f, fp, dxdr, dydr;
x = pow_calc_x(r, xh, rh, a);
y = pow_calc_x(r, yh, rh, 1 - a);
f = pow_calc_f(x, y, r, a);
if (ABS(f) < CONE_TOL) {
break;
}
dxdr = pow_calcdxdr(x, xh, rh, r, a);
dydr = pow_calcdxdr(y, yh, rh, r, (1 - a));
fp = pow_calc_fp(x, y, dxdr, dydr, a);
r = MAX(r - f / fp, 0);
r = MIN(r, rh);
}
v[0] = x;
v[1] = y;
v[2] = (v[2] < 0) ? -(r) : (r);
}
/* outward facing cone projection routine, iter is outer algorithm iteration, if
iter < 0 then iter is ignored
warm_start contains guess of projection (can be set to SCS_NULL) */
scs_int SCS(proj_dual_cone)(scs_float *x, const ScsCone *k, ScsConeWork *c,
const scs_float *warm_start, scs_int iter) {
DEBUG_FUNC
scs_int i;
scs_int count = (k->f ? k->f : 0);
SCS(timer) cone_timer;
#if EXTRA_VERBOSE > 0
SCS(timer) proj_timer;
SCS(tic)(&proj_timer);
#endif
SCS(tic)(&cone_timer);
if (k->l) {
/* project onto positive orthant */
for (i = count; i < count + k->l; ++i) {
if (x[i] < 0.0) {
x[i] = 0.0;
}
/* x[i] = (x[i] < 0.0) ? 0.0 : x[i]; */
}
count += k->l;
#if EXTRA_VERBOSE > 0
scs_printf("pos orthant proj time: %1.2es\n", SCS(tocq)(&proj_timer) / 1e3);
SCS(tic)(&proj_timer);
#endif
}
if (k->qsize && k->q) {
/* project onto SOC */
for (i = 0; i < k->qsize; ++i) {
if (k->q[i] == 0) {
continue;
}
if (k->q[i] == 1) {
if (x[count] < 0.0) {
x[count] = 0.0;
}
} else {
scs_float v1 = x[count];
scs_float s = SCS(norm)(&(x[count + 1]), k->q[i] - 1);
scs_float alpha = (s + v1) / 2.0;
if (s <= v1) { /* do nothing */
} else if (s <= -v1) {
memset(&(x[count]), 0, k->q[i] * sizeof(scs_float));
} else {
x[count] = alpha;
SCS(scale_array)(&(x[count + 1]), alpha / s, k->q[i] - 1);
}
}
count += k->q[i];
}
#if EXTRA_VERBOSE > 0
scs_printf("SOC proj time: %1.2es\n", SCS(tocq)(&proj_timer) / 1e3);
SCS(tic)(&proj_timer);
#endif
}
if (k->ssize && k->s) {
/* project onto PSD cone */
for (i = 0; i < k->ssize; ++i) {
#if EXTRA_VERBOSE > 0
scs_printf("SD proj size %li\n", (long)k->s[i]);
#endif
if (k->s[i] == 0) {
continue;
}
if (proj_semi_definite_cone(&(x[count]), k->s[i], c) < 0) {
RETURN - 1;
}
count += get_sd_cone_size(k->s[i]);
}
#if EXTRA_VERBOSE > 0
scs_printf("SD proj time: %1.2es\n", SCS(tocq)(&proj_timer) / 1e3);
SCS(tic)(&proj_timer);
#endif
}
if (k->ep) {
scs_float r, s, t;
scs_int idx;
/*
* exponential cone is not self dual, if s \in K
* then y \in K^* and so if K is the primal cone
* here we project onto K^*, via Moreau
* \Pi_C^*(y) = y + \Pi_C(-y)
*/
SCS(scale_array)(&(x[count]), -1, 3 * k->ep); /* x = -x; */
#ifdef _OPENMP
#pragma omp parallel for private(r, s, t, idx)
#endif
for (i = 0; i < k->ep; ++i) {
idx = count + 3 * i;
r = x[idx];
s = x[idx + 1];
t = x[idx + 2];
proj_exp_cone(&(x[idx]));
x[idx] -= r;
x[idx + 1] -= s;
x[idx + 2] -= t;
}
count += 3 * k->ep;
#if EXTRA_VERBOSE > 0
scs_printf("EP proj time: %1.2es\n", SCS(tocq)(&proj_timer) / 1e3);
SCS(tic)(&proj_timer);
#endif
}
if (k->ed) {
/* exponential cone: */
#ifdef _OPENMP
#pragma omp parallel for
#endif
for (i = 0; i < k->ed; ++i) {
proj_exp_cone(&(x[count + 3 * i]));
}
count += 3 * k->ed;
#if EXTRA_VERBOSE > 0
scs_printf("ED proj time: %1.2es\n", SCS(tocq)(&proj_timer) / 1e3);
SCS(tic)(&proj_timer);
#endif
}
if (k->psize && k->p) {
scs_float v[3];
scs_int idx;
/* don't use openmp for power cone
ifdef _OPENMP
pragma omp parallel for private(v, idx)
endif
*/
for (i = 0; i < k->psize; ++i) {
idx = count + 3 * i;
if (k->p[i] <= 0) {
/* dual power cone */
proj_power_cone(&(x[idx]), -k->p[i]);
} else {
/* primal power cone, using Moreau */
v[0] = -x[idx];
v[1] = -x[idx + 1];
v[2] = -x[idx + 2];
proj_power_cone(v, k->p[i]);
x[idx] += v[0];
x[idx + 1] += v[1];
x[idx + 2] += v[2];
}
}
count += 3 * k->psize;
#if EXTRA_VERBOSE > 0
scs_printf("Power cone proj time: %1.2es\n", SCS(tocq)(&proj_timer) / 1e3);
SCS(tic)(&proj_timer);
#endif
}
/* project onto OTHER cones */
if (c) {
c->total_cone_time += SCS(tocq)(&cone_timer);
}
RETURN 0;
}
|
merge_when_user_omp_pragma.c |
int main() {
int A[10][10];
int i,j;
// This pragma use to lead to an invalid omp code because we don't detect that an omp pragma already exist
#pragma omp parallel for
for(i=0; i<10; i++) {
for(j=0; j<10; j++) {
A[i][j] =0;
}
}
}
|
thbasic.c | #include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <stdarg.h>
#include <limits.h>
#include "thnets.h"
#define THAtomicIncrement(a) __sync_fetch_and_add(a, 1);
#define THAtomicDecrement(a) __sync_fetch_and_add(a, -1);
THFloatStorage *THFloatStorage_new(long size)
{
THFloatStorage *s = malloc(sizeof(*s));
s->data = malloc(sizeof(*s->data) * size);
s->nref = 1;
s->mustfree = 1;
return s;
}
THFloatStorage *THFloatStorage_newwithbuffer(void *buffer)
{
THFloatStorage *s = malloc(sizeof(*s));
s->data = buffer;
s->nref = 1;
s->mustfree = 0;
return s;
}
void THFloatStorage_free(THFloatStorage *s)
{
THAtomicDecrement(&s->nref);
if(s->nref == 0)
{
#ifdef CUDNN
if(s->mustfree == 2)
cudaFree(s->data);
else
#endif
if(s->mustfree)
free(s->data);
free(s);
}
}
void THFloatTensor_resize(THFloatTensor *t, long *size, int nDimension)
{
int i;
long stride = 1;
t->nDimension = nDimension;
memcpy(t->size, size, nDimension * sizeof(*t->size));
for(i = nDimension - 1; i >= 0; i--)
{
t->stride[i] = stride;
stride *= t->size[i];
}
if(!t->storage)
t->storage = THFloatStorage_new(stride);
}
void THFloatTensor_resize4d(THFloatTensor *t, long size0, long size1, long size2, long size3)
{
t->nDimension = 4;
t->size[0] = size0;
t->size[1] = size1;
t->size[2] = size2;
t->size[3] = size3;
t->stride[3] = 1;
t->stride[2] = size3;
t->stride[1] = size2 * size3;
t->stride[0] = size1 * size2 * size3;
if(!t->storage)
t->storage = THFloatStorage_new(size0 * size1 * size2 * size3);
}
void THFloatTensor_resize3d(THFloatTensor *t, long size0, long size1, long size2)
{
t->nDimension = 3;
t->size[0] = size0;
t->size[1] = size1;
t->size[2] = size2;
t->stride[2] = 1;
t->stride[1] = size2;
t->stride[0] = size1 * size2;
if(!t->storage)
t->storage = THFloatStorage_new(size0 * size1 * size2);
}
void THFloatTensor_resize2d(THFloatTensor *t, long size0, long size1)
{
t->nDimension = 2;
t->size[0] = size0;
t->size[1] = size1;
t->stride[1] = 1;
t->stride[0] = size1;
if(!t->storage)
t->storage = THFloatStorage_new(size0 * size1);
}
void THFloatTensor_resize1d(THFloatTensor *t, long size0)
{
t->nDimension = 1;
t->size[0] = size0;
t->stride[0] = 1;
if(!t->storage)
t->storage = THFloatStorage_new(size0);
}
void THError(const char *fmt, ...)
{
va_list ap;
va_start(ap, fmt);
vfprintf(stderr, fmt, ap);
va_end(ap);
fprintf(stderr, "\n");
exit(-1);
}
void THFloatTensor_free(THFloatTensor *t)
{
if(!t)
return;
if(t->storage)
THFloatStorage_free(t->storage);
free(t);
}
THFloatTensor *THFloatTensor_newSelect(THFloatTensor *tensor, int dimension, long sliceIndex)
{
if(dimension)
THError("THFloatTensor_newSelect not implemented for dimension != 0");
THFloatTensor *t = malloc(sizeof(*t));
t->nDimension = tensor->nDimension - 1;
t->size[0] = tensor->size[1];
t->size[1] = tensor->size[2];
t->size[2] = tensor->size[3];
t->stride[0] = tensor->stride[1];
t->stride[1] = tensor->stride[2];
t->stride[2] = tensor->stride[3];
t->storage = tensor->storage;
THAtomicIncrement(&t->storage->nref);
t->storageOffset = sliceIndex * tensor->stride[0];
return t;
}
long THFloatTensor_nElement(THFloatTensor *t)
{
if(t->nDimension == 0)
return 0;
else
{
long nElement = 1;
int i;
for(i = 0; i < t->nDimension; i++)
nElement *= t->size[i];
return nElement;
}
}
void THFloatTensor_resizeAs(THFloatTensor *tdst, THFloatTensor *tsrc)
{
if(tsrc == tdst)
return;
long nelemsrc = THFloatTensor_nElement(tsrc);
tdst->nDimension = tsrc->nDimension;
memcpy(tdst->size, tsrc->size, sizeof(tsrc->size));
memcpy(tdst->stride, tsrc->stride, sizeof(tsrc->stride));
if(!tdst->storage)
tdst->storage = THFloatStorage_new(nelemsrc);
else if(nelemsrc != THFloatTensor_nElement(tdst))
{
if(tdst->storage)
tdst->storage->data = realloc(tdst->storage->data, sizeof(*tdst->storage->data) * nelemsrc);
else tdst->storage = THFloatStorage_new(nelemsrc);
}
}
void THFloatTensor_set(THFloatTensor *tdst, THFloatTensor *tsrc)
{
if(tsrc == tdst)
return;
if(tdst->storage)
THFloatStorage_free(tdst->storage);
*tdst = *tsrc;
THAtomicIncrement(&tsrc->storage->nref);
}
float *THFloatTensor_data(THFloatTensor *tensor)
{
return tensor->storage->data + tensor->storageOffset;
}
THFloatTensor *THFloatTensor_new()
{
return calloc(1, sizeof(THFloatTensor));
}
THFloatTensor *THFloatTensor_newWithStorage3d(THFloatStorage *storage, long storageOffset, long size0, long stride0, long size1, long stride1, long size2, long stride2)
{
THFloatTensor *t = THFloatTensor_new();
t->nDimension = 3;
t->size[0] = size0;
t->size[1] = size1;
t->size[2] = size2;
t->stride[0] = stride0 == -1 ? size1 * size2 : stride0;
t->stride[1] = stride1 == -1 ? size2 : stride1;
t->stride[2] = stride2 == -1 ? 1 : stride2;
t->storage = storage;
t->storageOffset = storageOffset;
THAtomicIncrement(&t->storage->nref);
return t;
}
THFloatTensor *THFloatTensor_newWithStorage2d(THFloatStorage *storage, long storageOffset, long size0, long stride0, long size1, long stride1)
{
THFloatTensor *t = THFloatTensor_new();
t->nDimension = 2;
t->size[0] = size0;
t->size[1] = size1;
t->stride[0] = stride0 == -1 ? size1 : stride0;
t->stride[1] = stride1 == -1 ? 1 : stride1;
t->storage = storage;
t->storageOffset = storageOffset;
THAtomicIncrement(&t->storage->nref);
return t;
}
THFloatTensor *THFloatTensor_newWithStorage1d(THFloatStorage *storage, long storageOffset, long size0, long stride0)
{
THFloatTensor *t = THFloatTensor_new();
t->nDimension = 1;
t->size[0] = size0;
t->stride[0] = stride0 == -1 ? 1 : stride0;
t->storage = storage;
t->storageOffset = storageOffset;
THAtomicIncrement(&t->storage->nref);
return t;
}
THFloatTensor *THFloatTensor_newWithTensor(THFloatTensor *tensor)
{
THFloatTensor *self = THFloatTensor_new();
THFloatTensor_set(self, tensor);
return self;
}
void THFloatTensor_zero(THFloatTensor *t)
{
memset(t->storage->data, 0, THFloatTensor_nElement(t) * sizeof(*t->storage->data));
}
void THFloatTensor_fill(THFloatTensor *t, float value)
{
THFloatVector_fill(t->storage->data, value, THFloatTensor_nElement(t));
}
void THFloatTensor_copy(THFloatTensor *tdst, THFloatTensor *tsrc)
{
memcpy(tdst->storage->data, tsrc->storage->data, sizeof(*tdst->storage->data) * THFloatTensor_nElement(tsrc));
}
void THFloatTensor_transpose(THFloatTensor *tdst, THFloatTensor *tsrc, int dimension1, int dimension2)
{
long z;
if(!tsrc)
tsrc = tdst;
THFloatTensor_set(tdst, tsrc);
if(dimension1 == dimension2)
return;
z = tdst->stride[dimension1];
tdst->stride[dimension1] = tdst->stride[dimension2];
tdst->stride[dimension2] = z;
z = tdst->size[dimension1];
tdst->size[dimension1] = tdst->size[dimension2];
tdst->size[dimension2] = z;
}
THFloatTensor *THFloatTensor_newTranspose(THFloatTensor *tensor, int dimension1_, int dimension2_)
{
THFloatTensor *self = THFloatTensor_newWithTensor(tensor);
THFloatTensor_transpose(self, NULL, dimension1_, dimension2_);
return self;
}
double THExpMinusApprox(double x)
{
#if EXACT_EXPONENTIAL
return exp(-x);
#else
/* fast approximation of exp(-x) for x positive */
# define A0 (1.0)
# define A1 (0.125)
# define A2 (0.0078125)
# define A3 (0.00032552083)
# define A4 (1.0172526e-5)
if (x < 13.0)
{
/* assert(x>=0); */
double y;
y = A0+x*(A1+x*(A2+x*(A3+x*A4)));
y *= y;
y *= y;
y *= y;
y = 1/y;
return y;
}
return 0;
# undef A0
# undef A1
# undef A2
# undef A3
# undef A4
#endif
}
extern void sgemm_(char *transa, char *transb, int *m, int *n, int *k, float *alpha, float *a, int *lda, float *b, int *ldb, float *beta, float *c, int *ldc);
static void THBlas_gemm(char transa, char transb, long m, long n, long k, float alpha, float *a, long lda, float *b, long ldb, float beta, float *c, long ldc)
{
int transa_ = ((transa == 't') || (transa == 'T'));
int transb_ = ((transb == 't') || (transb == 'T'));
if(n == 1)
ldc = m;
if(transa_)
{
if(m == 1)
lda = k;
}
else
{
if(k == 1)
lda = m;
}
if(transb_)
{
if(k == 1)
ldb = n;
}
else
{
if(n == 1)
ldb = k;
}
if( (m <= INT_MAX) && (n <= INT_MAX) && (k <= INT_MAX) && (lda <= INT_MAX) && (ldb <= INT_MAX) && (ldc <= INT_MAX) )
{
int i_m = (int)m;
int i_n = (int)n;
int i_k = (int)k;
int i_lda = (int)lda;
int i_ldb = (int)ldb;
int i_ldc = (int)ldc;
sgemm_(&transa, &transb, &i_m, &i_n, &i_k, &alpha, a, &i_lda, b, &i_ldb, &beta, c, &i_ldc);
return;
}
THError("Wrong parameters to gemm");
}
void sgemv_(char *trans, int *m, int *n, float *alpha, float *a, int *lda, float *x, int *incx, float *beta, float *y, int *incy);
void THBlas_gemv(char trans, long m, long n, float alpha, float *a, long lda, float *x, long incx, float beta, float *y, long incy)
{
if(n == 1)
lda = m;
if( (m <= INT_MAX) && (n <= INT_MAX) &&
(lda > 0) && (lda <= INT_MAX) &&
(incx > 0) && (incx <= INT_MAX) &&
(incy > 0) && (incy <= INT_MAX) )
{
int i_m = (int)m;
int i_n = (int)n;
int i_lda = (int)lda;
int i_incx = (int)incx;
int i_incy = (int)incy;
sgemv_(&trans, &i_m, &i_n, &alpha, a, &i_lda, x, &i_incx, &beta, y, &i_incy);
return;
}
}
void sger_(int *m, int *n, float *alpha, float *x, int *incx, float *y, int *incy, float *a, int *lda);
void THBlas_ger(long m, long n, float alpha, float *x, long incx, float *y, long incy, float *a, long lda)
{
if(n == 1)
lda = m;
int i_m = (int)m;
int i_n = (int)n;
int i_lda = (int)lda;
int i_incx = (int)incx;
int i_incy = (int)incy;
sger_(&i_m, &i_n, &alpha, x, &i_incx, y, &i_incy, a, &i_lda);
}
void THFloatTensor_addmm(THFloatTensor *r_, float beta, THFloatTensor *t, float alpha, THFloatTensor *m1, THFloatTensor *m2)
{
char transpose_r, transpose_m1, transpose_m2;
THFloatTensor *r__, *m1_, *m2_;
if( (m1->nDimension != 2) || (m2->nDimension != 2))
THError("matrices expected, got %dD, %dD tensors", m1->nDimension, m2->nDimension);
if(m1->size[1] != m2->size[0])
THError("size mismatch, m1: %ld, m2: %ld", m1->size[1], m2->size[0]);
if( t->nDimension != 2 )
THError("matrix expected, got %dD tensor for t", t->nDimension);
if( (t->size[0] != m1->size[0]) || (t->size[1] != m2->size[1]) )
THError("size mismatch, t: %ld, m1: %ld, t: %ld, m2: %ld", t->size[0], m1->size[1], t->size[1], m2->size[1]);
if(t != r_)
THError("Not implemented: t != r");
/* printf("%ldx%ld = %ldx%ld X %ldx%ld\n", r_->size[0], r_->size[1], m1->size[0], m1->size[1], m2->size[0], m2->size[1]); */
/* r_ */
if(r_->stride[0] == 1 && r_->stride[1] != 0)
{
transpose_r = 'n';
r__ = r_;
}
else if(r_->stride[1] == 1 && r_->stride[0] != 0)
{
THFloatTensor *swap = m2;
m2 = m1;
m1 = swap;
transpose_r = 't';
r__ = r_;
}
else
{
THError("Transpose not implemented (1)");
return;
/* transpose_r = 'n';
r__ = THFloatTensor_newWithSize2d(r_->size[1], r_->size[0]);
THFloatTensor_copy(r__, r_);
THFloatTensor_transpose(r__, NULL, 0, 1);*/
}
/* m1 */
if(m1->stride[(transpose_r == 'n' ? 0 : 1)] == 1 && m1->stride[(transpose_r == 'n' ? 1 : 0)] != 0)
{
transpose_m1 = 'n';
m1_ = m1;
}
else if(m1->stride[(transpose_r == 'n' ? 1 : 0)] == 1 && m1->stride[(transpose_r == 'n' ? 0 : 1)] != 0)
{
transpose_m1 = 't';
m1_ = m1;
}
else
{
THError("Transpose not implemented (2)");
return;
/*transpose_m1 = (transpose_r == 'n' ? 't' : 'n');
m1_ = THFloatTensor_newContiguous(m1);*/
}
/* m2 */
if(m2->stride[(transpose_r == 'n' ? 0 : 1)] == 1 && m2->stride[(transpose_r == 'n' ? 1 : 0)] != 0)
{
transpose_m2 = 'n';
m2_ = m2;
}
else if(m2->stride[(transpose_r == 'n' ? 1 : 0)] == 1 && m2->stride[(transpose_r == 'n' ? 0 : 1)] != 0)
{
transpose_m2 = 't';
m2_ = m2;
}
else
{
THError("Transpose not implemented (3)");
return;
/*transpose_m2 = (transpose_r == 'n' ? 't' : 'n');
m2_ = THFloatTensor_(newContiguous)(m2);*/
}
/* do the operation */
THBlas_gemm(transpose_m1,
transpose_m2,
r__->size[(transpose_r == 'n' ? 0 : 1)],
r__->size[(transpose_r == 'n' ? 1 : 0)],
m1_->size[(transpose_r == 'n' ? 1 : 0)],
alpha,
THFloatTensor_data(m1_),
(transpose_m1 == 'n' ? m1_->stride[(transpose_r == 'n' ? 1 : 0)] : m1_->stride[(transpose_r == 'n' ? 0 : 1)]),
THFloatTensor_data(m2_),
(transpose_m2 == 'n' ? m2_->stride[(transpose_r == 'n' ? 1 : 0)] : m2_->stride[(transpose_r == 'n' ? 0 : 1)]),
beta,
THFloatTensor_data(r__),
r__->stride[(transpose_r == 'n' ? 1 : 0)]);
/* free intermediate variables */
if(m1_ != m1)
THFloatTensor_free(m1_);
if(m2_ != m2)
THFloatTensor_free(m2_);
if(r__ != r_)
THError("freeCopyTo not implemented");
/*THFloatTensor_(freeCopyTo)(r__, r_);*/
}
void THFloatTensor_addmv(THFloatTensor *r_, float beta, THFloatTensor *t, float alpha, THFloatTensor *mat, THFloatTensor *vec)
{
if( (mat->nDimension != 2) || (vec->nDimension != 1) )
THError("matrix and vector expected, got %dD, %dD", mat->nDimension, vec->nDimension);
if( mat->size[1] != vec->size[0] )
THError("size mismatch, %s, %s", mat->size[1], vec->size[0]);
if(t->nDimension != 1)
THError("vector expected, got t: %dD", t->nDimension);
if(t->size[0] != mat->size[0])
THError("size mismatch, t: %ld, mat: %ld", t->size[0], mat->size[0]);
if(r_ != t)
THError("r_ != t not implemented");
if(mat->stride[0] == 1)
{
THBlas_gemv('n', mat->size[0], mat->size[1], alpha, THFloatTensor_data(mat), mat->stride[1],
THFloatTensor_data(vec), vec->stride[0], beta, THFloatTensor_data(r_), r_->stride[0]);
}
else if(mat->stride[1] == 1)
{
THBlas_gemv('t', mat->size[1], mat->size[0], alpha, THFloatTensor_data(mat), mat->stride[0],
THFloatTensor_data(vec), vec->stride[0], beta, THFloatTensor_data(r_), r_->stride[0]);
}
else THError("addmv for non-contiguous not implemented");
}
#define TH_OMP_OVERHEAD_THRESHOLD 100000
void THFloatTensor_mul(THFloatTensor *r_, THFloatTensor *t, float value)
{
float *tp = THFloatTensor_data(t);
float *rp = THFloatTensor_data(r_);
long i;
long sz = THFloatTensor_nElement(t);
#pragma omp parallel for if(sz > TH_OMP_OVERHEAD_THRESHOLD) private(i)
for (i=0; i<sz; i++)
rp[i] = tp[i] * value;
}
void THFloatTensor_addr(THFloatTensor *r_, float beta, THFloatTensor *t, float alpha, THFloatTensor *vec1, THFloatTensor *vec2)
{
if( (vec1->nDimension != 1) || (vec2->nDimension != 1) )
THError("vector and vector expected, got %dD, %dD tensors", vec1->nDimension, vec2->nDimension);
if(t->nDimension != 2)
THError("expected matrix, got %dD tensor for t", t->nDimension);
if( (t->size[0] != vec1->size[0]) || (t->size[1] != vec2->size[0]) )
THError("size mismatch, t: %ld, vec1: %ld, t: %ld, vec2: %ld", t->size[0], vec1->size[0], t->size[1], vec2->size[0]);
if(r_ != t)
THError("r_ != t not implemented");
if(beta != 1)
THFloatTensor_mul(r_, r_, beta);
if(r_->stride[0] == 1)
{
THBlas_ger(vec1->size[0], vec2->size[0],
alpha, THFloatTensor_data(vec1), vec1->stride[0],
THFloatTensor_data(vec2), vec2->stride[0],
THFloatTensor_data(r_), r_->stride[1]);
}
else if(r_->stride[1] == 1)
{
THBlas_ger(vec2->size[0], vec1->size[0],
alpha, THFloatTensor_data(vec2), vec2->stride[0],
THFloatTensor_data(vec1), vec1->stride[0],
THFloatTensor_data(r_), r_->stride[0]);
}
else THError("addr for non-contiguous not implemented");
}
void printtensor(THFloatTensor *t)
{
if(t->nDimension == 2)
{
int i, j;
for(i = 0; i < t->size[0]; i++)
{
printf("%d) ", i);
for(j = 0; j < t->size[1]; j++)
printf("%f ", t->storage->data[i * t->stride[0] + j]);
printf("\n");
}
} else printf("printtensor: nDimension not implemented\n");
}
void THFloatTensor_validXCorr2Dptr(float *r_,
float alpha,
float *t_, long ir, long ic,
float *k_, long kr, long kc,
long sr, long sc)
{
long or = (ir - kr) / sr + 1;
long oc = (ic - kc) / sc + 1;
long xx, yy, kx, ky;
if ((sc != 1) || (oc < 4)) {
/* regular convolution */
for(yy = 0; yy < or; yy++) {
for(xx = 0; xx < oc; xx++) {
/* Dot product in two dimensions... (between input image and the mask) */
float *pi_ = t_ + yy*sr*ic + xx*sc;
float *pw_ = k_;
float sum = 0;
for(ky = 0; ky < kr; ky++) {
for(kx = 0; kx < kc; kx++) {
sum += pi_[kx]*pw_[kx];
}
pi_ += ic; /* next input line */
pw_ += kc; /* next mask line */
}
/* Update output */
*r_++ += alpha*sum;
}
}
} else {
/* SSE-based convolution */
for(yy = 0; yy < or; yy++) {
float *pi_ = t_ + yy*sr*ic;
float *pw_ = k_;
for (ky = 0; ky < kr; ky++) {
float *pis_ = pi_;
for (kx = 0; kx < kc; kx++) {
THFloatVector_add(r_, pis_, alpha*pw_[kx], oc);
pis_++;
}
pi_ += ic; /* next input line */
pw_ += kc; /* next mask line */
}
r_ += oc;
}
}
}
void THFloatTensor_conv2Dmv(THFloatTensor *r_, float beta, float alpha, THFloatTensor *t_, THFloatTensor *k_, long srow, long scol, const char *vf, const char *xc)
{
long nInputPlane, nInputRows, nInputCols;
long nKernelRows, nKernelCols;
long nOutputPlane, nOutputRows, nOutputCols;
long istride0, kstride0, kstride1;
THFloatTensor *input;
THFloatTensor *kernel;
float *input_data;
float *weight_data;
float *output_data;
long nelem;
long k;
if(t_->nDimension != 3)
THError("input: 3D Tensor expected");
if(k_->nDimension != 4)
THError("kernel: 4D Tensor expected");
if(srow < 1)
THError("Stride should be a positive integer");
if(scol < 1)
THError("Stride should be a positive integer");
if(*vf != 'V' || *xc != 'X')
THError("Type of convolution can be 'V','X' only");
input = t_;
kernel = k_;
nInputPlane = input->size[0];
istride0 = input->stride[0];
nInputRows = input->size[1];
nInputCols = input->size[2];
kstride0 = kernel->stride[0];
kstride1 = kernel->stride[1];
nKernelRows = kernel->size[2];
nKernelCols = kernel->size[3];
nOutputPlane = kernel->size[0];
if(kernel->size[1] != nInputPlane)
THError("invalid number of input planes");
if(!(nInputRows >= nKernelRows && nInputCols >= nKernelCols))
THError("conv2Dmv : Input image is smaller than kernel");
nOutputRows = (nInputRows - nKernelRows) / srow + 1;
nOutputCols = (nInputCols - nKernelCols) / scol + 1;
nelem = THFloatTensor_nElement(r_);
THFloatTensor_resize3d(r_, nOutputPlane, nOutputRows, nOutputCols);
input_data = THFloatTensor_data(input);
weight_data = THFloatTensor_data(kernel);
output_data = THFloatTensor_data(r_);
if (nelem == 0 || beta == 0 || nelem != THFloatTensor_nElement(r_))
{
/*THFloatTensor_zero)(r_);*/
#pragma omp parallel for private(k)
for (k = 0; k < r_->size[0]; k++)
{
float* ptr_output = output_data + k*nOutputCols*nOutputRows;
long l;
for (l = 0; l < nOutputRows*nOutputCols; l++)
ptr_output[l] = 0.0;
}
}
else if (beta != 1)
{
/*THFloatTensor_mul)(r_, beta);*/
#pragma omp parallel for private(k)
for (k = 0; k < r_->size[0]; k++)
{
float* ptr_output = output_data + k*nOutputCols*nOutputRows;
long l;
for (l = 0; l < nOutputRows*nOutputCols; l++)
ptr_output[l] *= beta;
}
}
#pragma omp parallel for private(k)
for(k = 0; k < nOutputPlane; k++)
{
long i;
/* get output */
float *ptr_output = output_data + k*nOutputCols*nOutputRows;
for(i = 0; i < nInputPlane; i++)
{
/* get kernel */
float *ptr_weight = weight_data + k*kstride0 + i*kstride1;
/* get input */
float *ptr_input = input_data + i*istride0;
/* do image, kernel convolution */
THFloatTensor_validXCorr2Dptr(ptr_output,
alpha,
ptr_input, nInputRows, nInputCols,
ptr_weight, nKernelRows, nKernelCols,
srow, scol);
}
}
}
void THFloatTensor_conv2Dmm(THFloatTensor *r_, float beta, float alpha, THFloatTensor *t_, THFloatTensor *k_, long srow, long scol, const char *vf, const char *xc)
{
long nInputPlane, nInputRows, nInputCols;
long nKernelRows, nKernelCols;
long nOutputPlane, nOutputRows, nOutputCols;
long kstride0, kstride1;
THFloatTensor *input;
THFloatTensor* kernel;
long nbatch;
long nelem;
float *input_data;
float *weight_data;
float *output_data;
long p;
if(t_->nDimension != 4)
THError("input: 3D Tensor expected");
if(k_->nDimension != 4)
THError("kernel: 4D Tensor expected");
if(srow < 1)
THError("Stride should be a positive integer");
if(scol < 1)
THError("Stride should be a positive integer");
if(*vf != 'V' || *xc != 'X')
THError("Type of convolution can be 'V','X' only");
input = t_;
kernel = k_;
nbatch = input->size[0];
nInputPlane = input->size[1];
nInputRows = input->size[2];
nInputCols = input->size[3];
kstride0 = kernel->stride[0];
kstride1 = kernel->stride[1];
nKernelRows = kernel->size[2];
nKernelCols = kernel->size[3];
nOutputPlane = kernel->size[0];
if(kernel->size[1] != nInputPlane)
THError("invalid number of input planes");
if(!(nInputRows >= nKernelRows && nInputCols >= nKernelCols))
THError("conv2Dmv : Input image is smaller than kernel");
nOutputRows = (nInputRows - nKernelRows) / srow + 1;
nOutputCols = (nInputCols - nKernelCols) / scol + 1;
nelem = THFloatTensor_nElement(r_);
THFloatTensor_resize4d(r_, nbatch, nOutputPlane, nOutputRows, nOutputCols);
input_data = THFloatTensor_data(input);
weight_data = THFloatTensor_data(kernel);
output_data = THFloatTensor_data(r_);
if (nelem == 0 || beta == 0 || nelem != THFloatTensor_nElement(r_))
{
/*THFloatTensor_(zero)(r_);*/
#pragma omp parallel for private(p)
for (p=0; p < r_->size[0]; p++)
{
long k;
for (k = 0; k < r_->size[1]; k++)
{
float* ptr_output = output_data + p*nOutputPlane*nOutputRows*nOutputCols + k*nOutputCols*nOutputRows;
long l;
for (l = 0; l < nOutputRows*nOutputCols; l++)
ptr_output[l] = 0.0;
}
}
}
else if (beta != 1)
{
/*THFloatTensor_(mul)(r_, beta);*/
#pragma omp parallel for private(p)
for(p=0; p < r_->size[0]; p++)
{
long k;
for (k = 0; k < r_->size[1]; k++)
{
float* ptr_output = output_data + p*nOutputPlane*nOutputRows*nOutputCols + k*nOutputCols*nOutputRows;
long l;
for (l = 0; l < nOutputRows*nOutputCols; l++)
ptr_output[l] *= beta;
}
}
}
#pragma omp parallel for private(p)
for(p=0; p < nbatch; p++)
{
long k;
for(k = 0; k < nOutputPlane; k++)
{
long i;
/* get output */
float *ptr_output = output_data + p*nOutputPlane*nOutputCols*nOutputRows + k*nOutputCols*nOutputRows;
for(i = 0; i < nInputPlane; i++)
{
/* get kernel */
float *ptr_weight = weight_data + k*kstride0 + i*kstride1;
/* get input */
float *ptr_input = input_data + p*nInputPlane*nInputRows*nInputCols + i*nInputRows*nInputCols;
/* do image, kernel convolution */
THFloatTensor_validXCorr2Dptr(ptr_output,
alpha,
ptr_input, nInputRows, nInputCols,
ptr_weight, nKernelRows, nKernelCols,
srow, scol);
}
}
}
}
|
convolution_sgemm.h | // Tencent is pleased to support the open source community by making ncnn available.
//
// Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.
//
// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
// in compliance with the License. You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// Unless required by applicable law or agreed to in writing, software distributed
// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
// CONDITIONS OF ANY KIND, either express or implied. See the License for the
// specific language governing permissions and limitations under the License.
static void im2col_sgemm_neon(const Mat& bottom_im2col, Mat& top_blob, const Mat& kernel, const Mat& _bias, const Option& opt)
{
// Mat bottom_im2col(size, maxk, inch, 4u, 1, opt.workspace_allocator);
const int size = bottom_im2col.w;
const int maxk = bottom_im2col.h;
const int inch = bottom_im2col.c;
const int outch = top_blob.c;
const float* bias = _bias;
// permute
Mat tmp;
#if __ARM_NEON
if (size >= 8)
tmp.create(8 * maxk, inch, size / 8 + (size % 8) / 4 + size % 4, 4u, 1, opt.workspace_allocator);
else if (size >= 4)
tmp.create(4 * maxk, inch, size / 4 + size % 4, 4u, 1, opt.workspace_allocator);
else
tmp.create(maxk, inch, size, 4u, 1, opt.workspace_allocator);
{
int nn_size = size >> 3;
int remain_size_start = 0;
#pragma omp parallel for num_threads(opt.num_threads)
for (int ii = 0; ii < nn_size; ii++)
{
int i = remain_size_start + ii * 8;
float* tmpptr = tmp.channel(i / 8);
for (int q = 0; q < inch; q++)
{
const float* img0 = (const float*)bottom_im2col.channel(q) + i;
for (int k = 0; k < maxk; k++)
{
vst1q_f32(tmpptr, vld1q_f32(img0));
vst1q_f32(tmpptr + 4, vld1q_f32(img0 + 4));
img0 += size;
tmpptr += 8;
}
}
}
remain_size_start += nn_size << 3;
nn_size = (size - remain_size_start) >> 2;
#pragma omp parallel for num_threads(opt.num_threads)
for (int ii = 0; ii < nn_size; ii++)
{
int i = remain_size_start + ii * 4;
float* tmpptr = tmp.channel(i / 8 + (i % 8) / 4);
for (int q = 0; q < inch; q++)
{
const float* img0 = (const float*)bottom_im2col.channel(q) + i;
for (int k = 0; k < maxk; k++)
{
vst1q_f32(tmpptr, vld1q_f32(img0));
img0 += size;
tmpptr += 4;
}
}
}
remain_size_start += nn_size << 2;
#pragma omp parallel for num_threads(opt.num_threads)
for (int i = remain_size_start; i < size; i++)
{
float* tmpptr = tmp.channel(i / 8 + (i % 8) / 4 + i % 4);
for (int q = 0; q < inch; q++)
{
const float* img0 = (const float*)bottom_im2col.channel(q) + i;
for (int k = 0; k < maxk; k++)
{
tmpptr[0] = img0[0];
img0 += size;
tmpptr += 1;
}
}
}
}
#else // __ARM_NEON
tmp.create(maxk, inch, size, 4u, 1, opt.workspace_allocator);
{
#pragma omp parallel for num_threads(opt.num_threads)
for (int i = 0; i < size; i++)
{
float* tmpptr = tmp.channel(i);
for (int q = 0; q < inch; q++)
{
const float* img0 = (const float*)bottom_im2col.channel(q) + i;
for (int k = 0; k < maxk; k++)
{
tmpptr[0] = img0[0];
img0 += size;
tmpptr += 1;
}
}
}
}
#endif // __ARM_NEON
#if __ARM_NEON
int nn_outch = 0;
int remain_outch_start = 0;
#if __aarch64__
nn_outch = outch >> 3;
remain_outch_start = nn_outch << 3;
#pragma omp parallel for num_threads(opt.num_threads)
for (int pp = 0; pp < nn_outch; pp++)
{
int p = pp * 8;
float* outptr0 = top_blob.channel(p);
float* outptr1 = top_blob.channel(p + 1);
float* outptr2 = top_blob.channel(p + 2);
float* outptr3 = top_blob.channel(p + 3);
float* outptr4 = top_blob.channel(p + 4);
float* outptr5 = top_blob.channel(p + 5);
float* outptr6 = top_blob.channel(p + 6);
float* outptr7 = top_blob.channel(p + 7);
const float zeros[8] = {0.f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.f};
const float* biasptr = bias ? bias + p : zeros;
int i = 0;
for (; i + 7 < size; i += 8)
{
const float* tmpptr = tmp.channel(i / 8);
const float* kptr = kernel.channel(p / 8);
int nn = inch * maxk; // inch always > 0
asm volatile(
"ld1 {v0.4s, v1.4s}, [%20] \n"
"dup v16.4s, v0.s[0] \n"
"dup v17.4s, v0.s[0] \n"
"dup v18.4s, v0.s[1] \n"
"dup v19.4s, v0.s[1] \n"
"dup v20.4s, v0.s[2] \n"
"dup v21.4s, v0.s[2] \n"
"dup v22.4s, v0.s[3] \n"
"dup v23.4s, v0.s[3] \n"
"dup v24.4s, v1.s[0] \n"
"dup v25.4s, v1.s[0] \n"
"dup v26.4s, v1.s[1] \n"
"dup v27.4s, v1.s[1] \n"
"dup v28.4s, v1.s[2] \n"
"dup v29.4s, v1.s[2] \n"
"dup v30.4s, v1.s[3] \n"
"dup v31.4s, v1.s[3] \n"
// inch loop
"lsr w4, %w21, #2 \n" // w4 = nn >> 2
"cmp w4, #0 \n"
"beq 1f \n"
"0: \n"
"prfm pldl1keep, [%8, #512] \n"
"ld1 {v8.4s, v9.4s, v10.4s, v11.4s}, [%8], #64 \n"
"prfm pldl1keep, [%9, #512] \n"
"ld1 {v0.4s, v1.4s, v2.4s, v3.4s}, [%9], #64 \n"
"fmla v16.4s, v8.4s, v0.s[0] \n"
"fmla v18.4s, v8.4s, v0.s[1] \n"
"fmla v20.4s, v8.4s, v0.s[2] \n"
"fmla v22.4s, v8.4s, v0.s[3] \n"
"fmla v17.4s, v9.4s, v0.s[0] \n"
"fmla v19.4s, v9.4s, v0.s[1] \n"
"fmla v21.4s, v9.4s, v0.s[2] \n"
"fmla v23.4s, v9.4s, v0.s[3] \n"
"fmla v24.4s, v8.4s, v1.s[0] \n"
"fmla v26.4s, v8.4s, v1.s[1] \n"
"fmla v28.4s, v8.4s, v1.s[2] \n"
"fmla v30.4s, v8.4s, v1.s[3] \n"
"fmla v25.4s, v9.4s, v1.s[0] \n"
"fmla v27.4s, v9.4s, v1.s[1] \n"
"fmla v29.4s, v9.4s, v1.s[2] \n"
"fmla v31.4s, v9.4s, v1.s[3] \n"
"prfm pldl1keep, [%8, #512] \n"
"ld1 {v12.4s, v13.4s, v14.4s, v15.4s}, [%8], #64 \n"
"fmla v16.4s, v10.4s, v2.s[0] \n"
"fmla v18.4s, v10.4s, v2.s[1] \n"
"fmla v20.4s, v10.4s, v2.s[2] \n"
"fmla v22.4s, v10.4s, v2.s[3] \n"
"fmla v17.4s, v11.4s, v2.s[0] \n"
"fmla v19.4s, v11.4s, v2.s[1] \n"
"fmla v21.4s, v11.4s, v2.s[2] \n"
"fmla v23.4s, v11.4s, v2.s[3] \n"
"fmla v24.4s, v10.4s, v3.s[0] \n"
"fmla v26.4s, v10.4s, v3.s[1] \n"
"fmla v28.4s, v10.4s, v3.s[2] \n"
"fmla v30.4s, v10.4s, v3.s[3] \n"
"fmla v25.4s, v11.4s, v3.s[0] \n"
"fmla v27.4s, v11.4s, v3.s[1] \n"
"fmla v29.4s, v11.4s, v3.s[2] \n"
"fmla v31.4s, v11.4s, v3.s[3] \n"
"prfm pldl1keep, [%9, #512] \n"
"ld1 {v4.4s, v5.4s, v6.4s, v7.4s}, [%9], #64 \n"
"fmla v16.4s, v12.4s, v4.s[0] \n"
"fmla v18.4s, v12.4s, v4.s[1] \n"
"fmla v20.4s, v12.4s, v4.s[2] \n"
"fmla v22.4s, v12.4s, v4.s[3] \n"
"fmla v17.4s, v13.4s, v4.s[0] \n"
"fmla v19.4s, v13.4s, v4.s[1] \n"
"fmla v21.4s, v13.4s, v4.s[2] \n"
"fmla v23.4s, v13.4s, v4.s[3] \n"
"fmla v24.4s, v12.4s, v5.s[0] \n"
"fmla v26.4s, v12.4s, v5.s[1] \n"
"fmla v28.4s, v12.4s, v5.s[2] \n"
"fmla v30.4s, v12.4s, v5.s[3] \n"
"fmla v25.4s, v13.4s, v5.s[0] \n"
"fmla v27.4s, v13.4s, v5.s[1] \n"
"fmla v29.4s, v13.4s, v5.s[2] \n"
"fmla v31.4s, v13.4s, v5.s[3] \n"
"subs w4, w4, #1 \n"
"fmla v16.4s, v14.4s, v6.s[0] \n"
"fmla v18.4s, v14.4s, v6.s[1] \n"
"fmla v20.4s, v14.4s, v6.s[2] \n"
"fmla v22.4s, v14.4s, v6.s[3] \n"
"fmla v17.4s, v15.4s, v6.s[0] \n"
"fmla v19.4s, v15.4s, v6.s[1] \n"
"fmla v21.4s, v15.4s, v6.s[2] \n"
"fmla v23.4s, v15.4s, v6.s[3] \n"
"fmla v24.4s, v14.4s, v7.s[0] \n"
"fmla v26.4s, v14.4s, v7.s[1] \n"
"fmla v28.4s, v14.4s, v7.s[2] \n"
"fmla v30.4s, v14.4s, v7.s[3] \n"
"fmla v25.4s, v15.4s, v7.s[0] \n"
"fmla v27.4s, v15.4s, v7.s[1] \n"
"fmla v29.4s, v15.4s, v7.s[2] \n"
"fmla v31.4s, v15.4s, v7.s[3] \n"
"bne 0b \n"
"1: \n"
// remain loop
"and w4, %w21, #3 \n" // w4 = remain = nn & 3
"cmp w4, #0 \n"
"beq 3f \n"
"2: \n"
"prfm pldl1keep, [%8, #256] \n"
"ld1 {v8.4s, v9.4s}, [%8], #32 \n"
"prfm pldl1keep, [%9, #256] \n"
"ld1 {v0.4s, v1.4s}, [%9], #32 \n"
"fmla v16.4s, v8.4s, v0.s[0] \n"
"fmla v18.4s, v8.4s, v0.s[1] \n"
"fmla v20.4s, v8.4s, v0.s[2] \n"
"fmla v22.4s, v8.4s, v0.s[3] \n"
"fmla v17.4s, v9.4s, v0.s[0] \n"
"fmla v19.4s, v9.4s, v0.s[1] \n"
"fmla v21.4s, v9.4s, v0.s[2] \n"
"fmla v23.4s, v9.4s, v0.s[3] \n"
"subs w4, w4, #1 \n"
"fmla v24.4s, v8.4s, v1.s[0] \n"
"fmla v26.4s, v8.4s, v1.s[1] \n"
"fmla v28.4s, v8.4s, v1.s[2] \n"
"fmla v30.4s, v8.4s, v1.s[3] \n"
"fmla v25.4s, v9.4s, v1.s[0] \n"
"fmla v27.4s, v9.4s, v1.s[1] \n"
"fmla v29.4s, v9.4s, v1.s[2] \n"
"fmla v31.4s, v9.4s, v1.s[3] \n"
"bne 2b \n"
"3: \n"
"st1 {v16.4s, v17.4s}, [%0], #32 \n"
"st1 {v18.4s, v19.4s}, [%1], #32 \n"
"st1 {v20.4s, v21.4s}, [%2], #32 \n"
"st1 {v22.4s, v23.4s}, [%3], #32 \n"
"st1 {v24.4s, v25.4s}, [%4], #32 \n"
"st1 {v26.4s, v27.4s}, [%5], #32 \n"
"st1 {v28.4s, v29.4s}, [%6], #32 \n"
"st1 {v30.4s, v31.4s}, [%7], #32 \n"
: "=r"(outptr0), // %0
"=r"(outptr1), // %1
"=r"(outptr2), // %2
"=r"(outptr3), // %3
"=r"(outptr4), // %4
"=r"(outptr5), // %5
"=r"(outptr6), // %6
"=r"(outptr7), // %7
"=r"(tmpptr), // %8
"=r"(kptr) // %9
: "0"(outptr0),
"1"(outptr1),
"2"(outptr2),
"3"(outptr3),
"4"(outptr4),
"5"(outptr5),
"6"(outptr6),
"7"(outptr7),
"8"(tmpptr),
"9"(kptr),
"r"(biasptr), // %20
"r"(nn) // %21
: "cc", "memory", "x4", "v0", "v1", "v2", "v3", "v4", "v5", "v6", "v7", "v8", "v9", "v10", "v11", "v12", "v13", "v14", "v15", "v16", "v17", "v18", "v19", "v20", "v21", "v22", "v23", "v24", "v25", "v26", "v27", "v28", "v29", "v30", "v31");
}
for (; i + 3 < size; i += 4)
{
const float* tmpptr = tmp.channel(i / 8 + (i % 8) / 4);
const float* kptr = kernel.channel(p / 8);
int nn = inch * maxk; // inch always > 0
asm volatile(
"ld1 {v0.4s, v1.4s}, [%20] \n"
"dup v16.4s, v0.s[0] \n"
"dup v17.4s, v0.s[1] \n"
"dup v18.4s, v0.s[2] \n"
"dup v19.4s, v0.s[3] \n"
"dup v20.4s, v1.s[0] \n"
"dup v21.4s, v1.s[1] \n"
"dup v22.4s, v1.s[2] \n"
"dup v23.4s, v1.s[3] \n"
// inch loop
"lsr w4, %w21, #2 \n" // w4 = nn >> 2
"cmp w4, #0 \n"
"beq 1f \n"
"0: \n"
"prfm pldl1keep, [%8, #512] \n"
"ld1 {v8.4s, v9.4s, v10.4s, v11.4s}, [%8], #64 \n"
"prfm pldl1keep, [%9, #512] \n"
"ld1 {v0.4s, v1.4s, v2.4s, v3.4s}, [%9], #64 \n"
"fmla v16.4s, v8.4s, v0.s[0] \n"
"fmla v17.4s, v8.4s, v0.s[1] \n"
"fmla v18.4s, v8.4s, v0.s[2] \n"
"fmla v19.4s, v8.4s, v0.s[3] \n"
"fmla v20.4s, v8.4s, v1.s[0] \n"
"fmla v21.4s, v8.4s, v1.s[1] \n"
"fmla v22.4s, v8.4s, v1.s[2] \n"
"fmla v23.4s, v8.4s, v1.s[3] \n"
"prfm pldl1keep, [%9, #512] \n"
"ld1 {v4.4s, v5.4s, v6.4s, v7.4s}, [%9], #64 \n"
"fmla v16.4s, v9.4s, v2.s[0] \n"
"fmla v17.4s, v9.4s, v2.s[1] \n"
"fmla v18.4s, v9.4s, v2.s[2] \n"
"fmla v19.4s, v9.4s, v2.s[3] \n"
"fmla v20.4s, v9.4s, v3.s[0] \n"
"fmla v21.4s, v9.4s, v3.s[1] \n"
"fmla v22.4s, v9.4s, v3.s[2] \n"
"fmla v23.4s, v9.4s, v3.s[3] \n"
"subs w4, w4, #1 \n"
"fmla v16.4s, v10.4s, v4.s[0] \n"
"fmla v17.4s, v10.4s, v4.s[1] \n"
"fmla v18.4s, v10.4s, v4.s[2] \n"
"fmla v19.4s, v10.4s, v4.s[3] \n"
"fmla v20.4s, v10.4s, v5.s[0] \n"
"fmla v21.4s, v10.4s, v5.s[1] \n"
"fmla v22.4s, v10.4s, v5.s[2] \n"
"fmla v23.4s, v10.4s, v5.s[3] \n"
"fmla v16.4s, v11.4s, v6.s[0] \n"
"fmla v17.4s, v11.4s, v6.s[1] \n"
"fmla v18.4s, v11.4s, v6.s[2] \n"
"fmla v19.4s, v11.4s, v6.s[3] \n"
"fmla v20.4s, v11.4s, v7.s[0] \n"
"fmla v21.4s, v11.4s, v7.s[1] \n"
"fmla v22.4s, v11.4s, v7.s[2] \n"
"fmla v23.4s, v11.4s, v7.s[3] \n"
"bne 0b \n"
"1: \n"
// remain loop
"and w4, %w21, #3 \n" // w4 = remain = nn & 3
"cmp w4, #0 \n"
"beq 3f \n"
"2: \n"
"prfm pldl1keep, [%8, #128] \n"
"ld1 {v8.4s}, [%8], #16 \n"
"prfm pldl1keep, [%9, #256] \n"
"ld1 {v0.4s, v1.4s}, [%9], #32 \n"
"fmla v16.4s, v8.4s, v0.s[0] \n"
"fmla v17.4s, v8.4s, v0.s[1] \n"
"fmla v18.4s, v8.4s, v0.s[2] \n"
"fmla v19.4s, v8.4s, v0.s[3] \n"
"subs w4, w4, #1 \n"
"fmla v20.4s, v8.4s, v1.s[0] \n"
"fmla v21.4s, v8.4s, v1.s[1] \n"
"fmla v22.4s, v8.4s, v1.s[2] \n"
"fmla v23.4s, v8.4s, v1.s[3] \n"
"bne 2b \n"
"3: \n"
"st1 {v16.4s}, [%0], #16 \n"
"st1 {v17.4s}, [%1], #16 \n"
"st1 {v18.4s}, [%2], #16 \n"
"st1 {v19.4s}, [%3], #16 \n"
"st1 {v20.4s}, [%4], #16 \n"
"st1 {v21.4s}, [%5], #16 \n"
"st1 {v22.4s}, [%6], #16 \n"
"st1 {v23.4s}, [%7], #16 \n"
: "=r"(outptr0), // %0
"=r"(outptr1), // %1
"=r"(outptr2), // %2
"=r"(outptr3), // %3
"=r"(outptr4), // %4
"=r"(outptr5), // %5
"=r"(outptr6), // %6
"=r"(outptr7), // %7
"=r"(tmpptr), // %8
"=r"(kptr) // %9
: "0"(outptr0),
"1"(outptr1),
"2"(outptr2),
"3"(outptr3),
"4"(outptr4),
"5"(outptr5),
"6"(outptr6),
"7"(outptr7),
"8"(tmpptr),
"9"(kptr),
"r"(biasptr), // %20
"r"(nn) // %21
: "cc", "memory", "x4", "v0", "v1", "v2", "v3", "v4", "v5", "v6", "v7", "v8", "v9", "v10", "v11", "v16", "v17", "v18", "v19", "v20", "v21", "v22", "v23");
}
for (; i < size; i++)
{
const float* tmpptr = tmp.channel(i / 8 + (i % 8) / 4 + i % 4);
const float* kptr = kernel.channel(p / 8);
int nn = inch * maxk; // inch always > 0
asm volatile(
"ld1 {v24.4s, v25.4s}, [%20] \n"
// inch loop
"lsr w4, %w21, #2 \n" // w4 = nn >> 2
"cmp w4, #0 \n"
"beq 1f \n"
"eor v16.16b, v16.16b, v16.16b \n"
"eor v17.16b, v17.16b, v17.16b \n"
"eor v18.16b, v18.16b, v18.16b \n"
"eor v19.16b, v19.16b, v19.16b \n"
"eor v20.16b, v20.16b, v20.16b \n"
"eor v21.16b, v21.16b, v21.16b \n"
"eor v22.16b, v22.16b, v22.16b \n"
"eor v23.16b, v23.16b, v23.16b \n"
"0: \n"
"prfm pldl1keep, [%8, #128] \n"
"ld1 {v8.4s}, [%8], #16 \n"
"prfm pldl1keep, [%9, #512] \n"
"ld1 {v0.4s, v1.4s, v2.4s, v3.4s}, [%9], #64 \n"
"fmla v16.4s, v0.4s, v8.s[0] \n"
"fmla v17.4s, v1.4s, v8.s[0] \n"
"fmla v18.4s, v2.4s, v8.s[1] \n"
"fmla v19.4s, v3.4s, v8.s[1] \n"
"prfm pldl1keep, [%9, #512] \n"
"ld1 {v4.4s, v5.4s, v6.4s, v7.4s}, [%9], #64 \n"
"subs w4, w4, #1 \n"
"fmla v20.4s, v4.4s, v8.s[2] \n"
"fmla v21.4s, v5.4s, v8.s[2] \n"
"fmla v22.4s, v6.4s, v8.s[3] \n"
"fmla v23.4s, v7.4s, v8.s[3] \n"
"bne 0b \n"
"fadd v16.4s, v16.4s, v18.4s \n"
"fadd v17.4s, v17.4s, v19.4s \n"
"fadd v20.4s, v20.4s, v22.4s \n"
"fadd v21.4s, v21.4s, v23.4s \n"
"fadd v16.4s, v16.4s, v20.4s \n"
"fadd v17.4s, v17.4s, v21.4s \n"
"fadd v24.4s, v24.4s, v16.4s \n"
"fadd v25.4s, v25.4s, v17.4s \n"
"1: \n"
// remain loop
"and w4, %w21, #3 \n" // w4 = remain = nn & 3
"cmp w4, #0 \n"
"beq 3f \n"
"2: \n"
"prfm pldl1keep, [%8, #32] \n"
"ld1r {v8.4s}, [%8], #4 \n"
"prfm pldl1keep, [%9, #256] \n"
"ld1 {v0.4s, v1.4s}, [%9], #32 \n"
"subs w4, w4, #1 \n"
"fmla v24.4s, v8.4s, v0.4s \n"
"fmla v25.4s, v8.4s, v1.4s \n"
"bne 2b \n"
"3: \n"
"st1 {v24.s}[0],[%0], #4 \n"
"st1 {v24.s}[1],[%1], #4 \n"
"st1 {v24.s}[2],[%2], #4 \n"
"st1 {v24.s}[3],[%3], #4 \n"
"st1 {v25.s}[0],[%4], #4 \n"
"st1 {v25.s}[1],[%5], #4 \n"
"st1 {v25.s}[2],[%6], #4 \n"
"st1 {v25.s}[3],[%7], #4 \n"
: "=r"(outptr0), // %0
"=r"(outptr1), // %1
"=r"(outptr2), // %2
"=r"(outptr3), // %3
"=r"(outptr4), // %4
"=r"(outptr5), // %5
"=r"(outptr6), // %6
"=r"(outptr7), // %7
"=r"(tmpptr), // %8
"=r"(kptr) // %9
: "0"(outptr0),
"1"(outptr1),
"2"(outptr2),
"3"(outptr3),
"4"(outptr4),
"5"(outptr5),
"6"(outptr6),
"7"(outptr7),
"8"(tmpptr),
"9"(kptr),
"r"(biasptr), // %20
"r"(nn) // %21
: "cc", "memory", "x4", "v0", "v1", "v2", "v3", "v4", "v5", "v6", "v7", "v8", "v9", "v10", "v11", "v16", "v17", "v18", "v19", "v20", "v21", "v22", "v23", "v24", "v25");
}
}
#endif // __aarch64__
nn_outch = (outch - remain_outch_start) >> 2;
#pragma omp parallel for num_threads(opt.num_threads)
for (int pp = 0; pp < nn_outch; pp++)
{
int p = remain_outch_start + pp * 4;
float* outptr0 = top_blob.channel(p);
float* outptr1 = top_blob.channel(p + 1);
float* outptr2 = top_blob.channel(p + 2);
float* outptr3 = top_blob.channel(p + 3);
const float zeros[4] = {0.f, 0.f, 0.f, 0.f};
const float* biasptr = bias ? bias + p : zeros;
int i = 0;
for (; i + 7 < size; i += 8)
{
const float* tmpptr = tmp.channel(i / 8);
#if __aarch64__
const float* kptr = kernel.channel(p / 8 + (p % 8) / 4);
#else
const float* kptr = kernel.channel(p / 4);
#endif
int nn = inch * maxk; // inch always > 0
#if __aarch64__
asm volatile(
"ld1 {v0.4s}, [%12] \n"
"dup v8.4s, v0.s[0] \n"
"dup v9.4s, v0.s[0] \n"
"dup v10.4s, v0.s[1] \n"
"dup v11.4s, v0.s[1] \n"
"dup v12.4s, v0.s[2] \n"
"dup v13.4s, v0.s[2] \n"
"dup v14.4s, v0.s[3] \n"
"dup v15.4s, v0.s[3] \n"
// inch loop
"lsr w4, %w13, #2 \n" // w4 = nn >> 2
"cmp w4, #0 \n"
"beq 1f \n"
"0: \n"
"prfm pldl1keep, [%4, #512] \n"
"ld1 {v4.4s, v5.4s, v6.4s, v7.4s}, [%4], #64 \n"
"prfm pldl1keep, [%5, #512] \n"
"ld1 {v0.4s, v1.4s, v2.4s, v3.4s}, [%5], #64 \n"
"fmla v8.4s, v4.4s, v0.s[0] \n"
"fmla v10.4s, v4.4s, v0.s[1] \n"
"fmla v12.4s, v4.4s, v0.s[2] \n"
"fmla v14.4s, v4.4s, v0.s[3] \n"
"fmla v9.4s, v5.4s, v0.s[0] \n"
"fmla v11.4s, v5.4s, v0.s[1] \n"
"fmla v13.4s, v5.4s, v0.s[2] \n"
"fmla v15.4s, v5.4s, v0.s[3] \n"
"prfm pldl1keep, [%4, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%4], #64 \n"
"fmla v8.4s, v6.4s, v1.s[0] \n"
"fmla v10.4s, v6.4s, v1.s[1] \n"
"fmla v12.4s, v6.4s, v1.s[2] \n"
"fmla v14.4s, v6.4s, v1.s[3] \n"
"fmla v9.4s, v7.4s, v1.s[0] \n"
"fmla v11.4s, v7.4s, v1.s[1] \n"
"fmla v13.4s, v7.4s, v1.s[2] \n"
"fmla v15.4s, v7.4s, v1.s[3] \n"
"subs w4, w4, #1 \n"
"fmla v8.4s, v16.4s, v2.s[0] \n"
"fmla v10.4s, v16.4s, v2.s[1] \n"
"fmla v12.4s, v16.4s, v2.s[2] \n"
"fmla v14.4s, v16.4s, v2.s[3] \n"
"fmla v9.4s, v17.4s, v2.s[0] \n"
"fmla v11.4s, v17.4s, v2.s[1] \n"
"fmla v13.4s, v17.4s, v2.s[2] \n"
"fmla v15.4s, v17.4s, v2.s[3] \n"
"fmla v8.4s, v18.4s, v3.s[0] \n"
"fmla v10.4s, v18.4s, v3.s[1] \n"
"fmla v12.4s, v18.4s, v3.s[2] \n"
"fmla v14.4s, v18.4s, v3.s[3] \n"
"fmla v9.4s, v19.4s, v3.s[0] \n"
"fmla v11.4s, v19.4s, v3.s[1] \n"
"fmla v13.4s, v19.4s, v3.s[2] \n"
"fmla v15.4s, v19.4s, v3.s[3] \n"
"bne 0b \n"
"1: \n"
// remain loop
"and w4, %w13, #3 \n" // w4 = remain = nn & 3
"cmp w4, #0 \n"
"beq 3f \n"
"2: \n"
"prfm pldl1keep, [%4, #256] \n"
"ld1 {v4.4s, v5.4s}, [%4], #32 \n"
"prfm pldl1keep, [%5, #128] \n"
"ld1 {v0.4s}, [%5], #16 \n"
"fmla v8.4s, v4.4s, v0.s[0] \n"
"fmla v10.4s, v4.4s, v0.s[1] \n"
"fmla v12.4s, v4.4s, v0.s[2] \n"
"fmla v14.4s, v4.4s, v0.s[3] \n"
"subs w4, w4, #1 \n"
"fmla v9.4s, v5.4s, v0.s[0] \n"
"fmla v11.4s, v5.4s, v0.s[1] \n"
"fmla v13.4s, v5.4s, v0.s[2] \n"
"fmla v15.4s, v5.4s, v0.s[3] \n"
"bne 2b \n"
"3: \n"
"st1 {v8.4s, v9.4s}, [%0], #32 \n"
"st1 {v10.4s, v11.4s}, [%1], #32 \n"
"st1 {v12.4s, v13.4s}, [%2], #32 \n"
"st1 {v14.4s, v15.4s}, [%3], #32 \n"
: "=r"(outptr0), // %0
"=r"(outptr1), // %1
"=r"(outptr2), // %2
"=r"(outptr3), // %3
"=r"(tmpptr), // %4
"=r"(kptr) // %5
: "0"(outptr0),
"1"(outptr1),
"2"(outptr2),
"3"(outptr3),
"4"(tmpptr),
"5"(kptr),
"r"(biasptr), // %12
"r"(nn) // %13
: "cc", "memory", "x4", "v0", "v1", "v2", "v3", "v4", "v5", "v6", "v7", "v8", "v9", "v10", "v11", "v12", "v13", "v14", "v15", "v16", "v17", "v18", "v19");
#else // __aarch64__
asm volatile(
"vld1.f32 {d0-d1}, [%12] \n"
"vdup.f32 q8, d0[0] \n"
"vdup.f32 q9, d0[0] \n"
"vdup.f32 q10, d0[1] \n"
"vdup.f32 q11, d0[1] \n"
"vdup.f32 q12, d1[0] \n"
"vdup.f32 q13, d1[0] \n"
"vdup.f32 q14, d1[1] \n"
"vdup.f32 q15, d1[1] \n"
// inch loop
"lsr r4, %13, #2 \n" // r4 = nn >> 2
"cmp r4, #0 \n"
"beq 1f \n"
"0: \n"
"pld [%4, #512] \n"
"vldm %4!, {d8-d15} \n"
// "vld1.f32 {d8-d11}, [%4 :128]! \n"
// "vld1.f32 {d12-d15}, [%4 :128]! \n"
"pld [%5, #512] \n"
"vldm %5!, {d0-d7} \n"
// "vld1.f32 {d0-d3}, [%5 :128]! \n"
// "vld1.f32 {d4-d7}, [%5 :128]! \n"
"vmla.f32 q8, q4, d0[0] \n"
"vmla.f32 q10, q4, d0[1] \n"
"vmla.f32 q12, q4, d1[0] \n"
"vmla.f32 q14, q4, d1[1] \n"
"vmla.f32 q9, q5, d0[0] \n"
"vmla.f32 q11, q5, d0[1] \n"
"vmla.f32 q13, q5, d1[0] \n"
"vmla.f32 q15, q5, d1[1] \n"
"vmla.f32 q8, q6, d2[0] \n"
"vmla.f32 q10, q6, d2[1] \n"
"vmla.f32 q12, q6, d3[0] \n"
"vmla.f32 q14, q6, d3[1] \n"
"vmla.f32 q9, q7, d2[0] \n"
"vmla.f32 q11, q7, d2[1] \n"
"vmla.f32 q13, q7, d3[0] \n"
"vmla.f32 q15, q7, d3[1] \n"
"pld [%4, #512] \n"
"vldm %4!, {d8-d15} \n"
// "vld1.f32 {d8-d11}, [%4 :128]! \n"
// "vld1.f32 {d12-d15}, [%4 :128]! \n"
"vmla.f32 q8, q4, d4[0] \n"
"vmla.f32 q10, q4, d4[1] \n"
"vmla.f32 q12, q4, d5[0] \n"
"vmla.f32 q14, q4, d5[1] \n"
"vmla.f32 q9, q5, d4[0] \n"
"vmla.f32 q11, q5, d4[1] \n"
"vmla.f32 q13, q5, d5[0] \n"
"vmla.f32 q15, q5, d5[1] \n"
"subs r4, r4, #1 \n"
"vmla.f32 q8, q6, d6[0] \n"
"vmla.f32 q10, q6, d6[1] \n"
"vmla.f32 q12, q6, d7[0] \n"
"vmla.f32 q14, q6, d7[1] \n"
"vmla.f32 q9, q7, d6[0] \n"
"vmla.f32 q11, q7, d6[1] \n"
"vmla.f32 q13, q7, d7[0] \n"
"vmla.f32 q15, q7, d7[1] \n"
"bne 0b \n"
"1: \n"
// remain loop
"and r4, %13, #3 \n" // r4 = remain = nn & 3
"cmp r4, #0 \n"
"beq 3f \n"
"2: \n"
"pld [%4, #256] \n"
"vld1.f32 {d8-d11}, [%4 :128]! \n"
"pld [%5, #128] \n"
"vld1.f32 {d0-d1}, [%5 :128]! \n"
"vmla.f32 q8, q4, d0[0] \n"
"vmla.f32 q10, q4, d0[1] \n"
"vmla.f32 q12, q4, d1[0] \n"
"vmla.f32 q14, q4, d1[1] \n"
"subs r4, r4, #1 \n"
"vmla.f32 q9, q5, d0[0] \n"
"vmla.f32 q11, q5, d0[1] \n"
"vmla.f32 q13, q5, d1[0] \n"
"vmla.f32 q15, q5, d1[1] \n"
"bne 2b \n"
"3: \n"
"vst1.f32 {d16-d19}, [%0 :128]! \n"
"vst1.f32 {d20-d23}, [%1 :128]! \n"
"vst1.f32 {d24-d27}, [%2 :128]! \n"
"vst1.f32 {d28-d31}, [%3 :128]! \n"
: "=r"(outptr0), // %0
"=r"(outptr1), // %1
"=r"(outptr2), // %2
"=r"(outptr3), // %3
"=r"(tmpptr), // %4
"=r"(kptr) // %5
: "0"(outptr0),
"1"(outptr1),
"2"(outptr2),
"3"(outptr3),
"4"(tmpptr),
"5"(kptr),
"r"(biasptr), // %12
"r"(nn) // %13
: "cc", "memory", "r4", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15");
#endif // __aarch64__
}
for (; i + 3 < size; i += 4)
{
const float* tmpptr = tmp.channel(i / 8 + (i % 8) / 4);
#if __aarch64__
const float* kptr = kernel.channel(p / 8 + (p % 8) / 4);
#else
const float* kptr = kernel.channel(p / 4);
#endif
int nn = inch * maxk; // inch always > 0
#if __aarch64__
asm volatile(
"ld1 {v0.4s}, [%12] \n"
"dup v8.4s, v0.s[0] \n"
"dup v9.4s, v0.s[1] \n"
"dup v10.4s, v0.s[2] \n"
"dup v11.4s, v0.s[3] \n"
// inch loop
"lsr w4, %w13, #2 \n" // w4 = nn >> 2
"cmp w4, #0 \n"
"beq 1f \n"
"0: \n"
"prfm pldl1keep, [%4, #512] \n"
"ld1 {v4.4s, v5.4s, v6.4s, v7.4s}, [%4], #64 \n"
"prfm pldl1keep, [%5, #512] \n"
"ld1 {v0.4s, v1.4s, v2.4s, v3.4s}, [%5], #64 \n"
"fmla v8.4s, v4.4s, v0.s[0] \n"
"fmla v9.4s, v4.4s, v0.s[1] \n"
"fmla v10.4s, v4.4s, v0.s[2] \n"
"fmla v11.4s, v4.4s, v0.s[3] \n"
"fmla v8.4s, v5.4s, v1.s[0] \n"
"fmla v9.4s, v5.4s, v1.s[1] \n"
"fmla v10.4s, v5.4s, v1.s[2] \n"
"fmla v11.4s, v5.4s, v1.s[3] \n"
"subs w4, w4, #1 \n"
"fmla v8.4s, v6.4s, v2.s[0] \n"
"fmla v9.4s, v6.4s, v2.s[1] \n"
"fmla v10.4s, v6.4s, v2.s[2] \n"
"fmla v11.4s, v6.4s, v2.s[3] \n"
"fmla v8.4s, v7.4s, v3.s[0] \n"
"fmla v9.4s, v7.4s, v3.s[1] \n"
"fmla v10.4s, v7.4s, v3.s[2] \n"
"fmla v11.4s, v7.4s, v3.s[3] \n"
"bne 0b \n"
"1: \n"
// remain loop
"and w4, %w13, #3 \n" // w4 = remain = nn & 3
"cmp w4, #0 \n"
"beq 3f \n"
"2: \n"
"prfm pldl1keep, [%4, #128] \n"
"ld1 {v4.4s}, [%4], #16 \n"
"prfm pldl1keep, [%5, #128] \n"
"ld1 {v0.4s}, [%5], #16 \n"
"subs w4, w4, #1 \n"
"fmla v8.4s, v4.4s, v0.s[0] \n"
"fmla v9.4s, v4.4s, v0.s[1] \n"
"fmla v10.4s, v4.4s, v0.s[2] \n"
"fmla v11.4s, v4.4s, v0.s[3] \n"
"bne 2b \n"
"3: \n"
"st1 {v8.4s}, [%0], #16 \n"
"st1 {v9.4s}, [%1], #16 \n"
"st1 {v10.4s}, [%2], #16 \n"
"st1 {v11.4s}, [%3], #16 \n"
: "=r"(outptr0), // %0
"=r"(outptr1), // %1
"=r"(outptr2), // %2
"=r"(outptr3), // %3
"=r"(tmpptr), // %4
"=r"(kptr) // %5
: "0"(outptr0),
"1"(outptr1),
"2"(outptr2),
"3"(outptr3),
"4"(tmpptr),
"5"(kptr),
"r"(biasptr), // %12
"r"(nn) // %13
: "cc", "memory", "x4", "v0", "v1", "v2", "v3", "v4", "v5", "v6", "v7", "v8", "v9", "v10", "v11");
#else // __aarch64__
asm volatile(
"vld1.f32 {d0-d1}, [%12] \n"
"vdup.f32 q8, d0[0] \n"
"vdup.f32 q9, d0[1] \n"
"vdup.f32 q10, d1[0] \n"
"vdup.f32 q11, d1[1] \n"
// inch loop
"lsr r4, %13, #2 \n" // r4 = nn >> 2
"cmp r4, #0 \n"
"beq 1f \n"
"0: \n"
"pld [%4, #512] \n"
"vldm %4!, {d8-d15} \n"
// "vld1.f32 {d8-d11}, [%4 :128]! \n"
// "vld1.f32 {d12-d15}, [%4 :128]! \n"
"pld [%5, #512] \n"
"vldm %5!, {d0-d7} \n"
// "vld1.f32 {d0-d3}, [%5 :128]! \n"
// "vld1.f32 {d4-d7}, [%5 :128]! \n"
"vmla.f32 q8, q4, d0[0] \n"
"vmla.f32 q9, q4, d0[1] \n"
"vmla.f32 q10, q4, d1[0] \n"
"vmla.f32 q11, q4, d1[1] \n"
"vmla.f32 q8, q5, d2[0] \n"
"vmla.f32 q9, q5, d2[1] \n"
"vmla.f32 q10, q5, d3[0] \n"
"vmla.f32 q11, q5, d3[1] \n"
"subs r4, r4, #1 \n"
"vmla.f32 q8, q6, d4[0] \n"
"vmla.f32 q9, q6, d4[1] \n"
"vmla.f32 q10, q6, d5[0] \n"
"vmla.f32 q11, q6, d5[1] \n"
"vmla.f32 q8, q7, d6[0] \n"
"vmla.f32 q9, q7, d6[1] \n"
"vmla.f32 q10, q7, d7[0] \n"
"vmla.f32 q11, q7, d7[1] \n"
"bne 0b \n"
"1: \n"
// remain loop
"and r4, %13, #3 \n" // r4 = remain = nn & 3
"cmp r4, #0 \n"
"beq 3f \n"
"2: \n"
"pld [%4, #128] \n"
"vld1.f32 {d8-d9}, [%4 :128]! \n"
"pld [%5, #128] \n"
"vld1.f32 {d0-d1}, [%5 :128]! \n"
"subs r4, r4, #1 \n"
"vmla.f32 q8, q4, d0[0] \n"
"vmla.f32 q9, q4, d0[1] \n"
"vmla.f32 q10, q4, d1[0] \n"
"vmla.f32 q11, q4, d1[1] \n"
"bne 2b \n"
"3: \n"
"vst1.f32 {d16-d17}, [%0 :128]! \n"
"vst1.f32 {d18-d19}, [%1 :128]! \n"
"vst1.f32 {d20-d21}, [%2 :128]! \n"
"vst1.f32 {d22-d23}, [%3 :128]! \n"
: "=r"(outptr0), // %0
"=r"(outptr1), // %1
"=r"(outptr2), // %2
"=r"(outptr3), // %3
"=r"(tmpptr), // %4
"=r"(kptr) // %5
: "0"(outptr0),
"1"(outptr1),
"2"(outptr2),
"3"(outptr3),
"4"(tmpptr),
"5"(kptr),
"r"(biasptr), // %12
"r"(nn) // %13
: "cc", "memory", "r4", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11");
#endif // __aarch64__
}
for (; i < size; i++)
{
const float* tmpptr = tmp.channel(i / 8 + (i % 8) / 4 + i % 4);
#if __aarch64__
const float* kptr = kernel.channel(p / 8 + (p % 8) / 4);
#else
const float* kptr = kernel.channel(p / 4);
#endif
int nn = inch * maxk; // inch always > 0
#if __aarch64__
asm volatile(
"ld1 {v12.4s}, [%12] \n"
// inch loop
"lsr w4, %w13, #2 \n" // w4 = nn >> 2
"cmp w4, #0 \n"
"beq 1f \n"
"eor v8.16b, v8.16b, v8.16b \n"
"eor v9.16b, v9.16b, v9.16b \n"
"eor v10.16b, v10.16b, v10.16b \n"
"eor v11.16b, v11.16b, v11.16b \n"
"0: \n"
"prfm pldl1keep, [%4, #128] \n"
"ld1 {v4.4s}, [%4], #16 \n"
"prfm pldl1keep, [%5, #512] \n"
"ld1 {v0.4s, v1.4s, v2.4s, v3.4s}, [%5], #64 \n"
"subs w4, w4, #1 \n"
"fmla v8.4s, v0.4s, v4.s[0] \n"
"fmla v9.4s, v1.4s, v4.s[1] \n"
"fmla v10.4s, v2.4s, v4.s[2] \n"
"fmla v11.4s, v3.4s, v4.s[3] \n"
"bne 0b \n"
"fadd v8.4s, v8.4s, v9.4s \n"
"fadd v10.4s, v10.4s, v11.4s \n"
"fadd v8.4s, v8.4s, v10.4s \n"
"fadd v12.4s, v12.4s, v8.4s \n"
"1: \n"
// remain loop
"and w4, %w13, #3 \n" // w4 = remain = nn & 3
"cmp w4, #0 \n"
"beq 3f \n"
"2: \n"
"prfm pldl1keep, [%4, #32] \n"
"ld1r {v4.4s}, [%4], #4 \n"
"prfm pldl1keep, [%5, #128] \n"
"ld1 {v0.4s}, [%5], #16 \n"
"subs w4, w4, #1 \n"
"fmla v12.4s, v4.4s, v0.4s \n"
"bne 2b \n"
"3: \n"
"st1 {v12.s}[0], [%0], #4 \n"
"st1 {v12.s}[1], [%1], #4 \n"
"st1 {v12.s}[2], [%2], #4 \n"
"st1 {v12.s}[3], [%3], #4 \n"
: "=r"(outptr0), // %0
"=r"(outptr1), // %1
"=r"(outptr2), // %2
"=r"(outptr3), // %3
"=r"(tmpptr), // %4
"=r"(kptr) // %5
: "0"(outptr0),
"1"(outptr1),
"2"(outptr2),
"3"(outptr3),
"4"(tmpptr),
"5"(kptr),
"r"(biasptr), // %12
"r"(nn) // %13
: "cc", "memory", "x4", "v0", "v1", "v2", "v3", "v4", "v8", "v9", "v10", "v11", "v12");
#else // __aarch64__
asm volatile(
"vld1.f32 {d24-d25}, [%12] \n"
// inch loop
"lsr r4, %13, #2 \n" // r4 = nn >> 2
"cmp r4, #0 \n"
"beq 1f \n"
"veor q8, q8, q8 \n"
"veor q9, q9, q9 \n"
"veor q10, q10, q10 \n"
"veor q11, q11, q11 \n"
"0: \n"
"pld [%4, #128] \n"
"vld1.f32 {d8-d9}, [%4 :128]! \n"
"pld [%5, #512] \n"
"vldm %5!, {d0-d7} \n"
// "vld1.f32 {d0-d3}, [%5 :128]! \n"
// "vld1.f32 {d4-d7}, [%5 :128]! \n"
"subs r4, r4, #1 \n"
"vmla.f32 q8, q0, d8[0] \n"
"vmla.f32 q9, q1, d8[1] \n"
"vmla.f32 q10, q2, d9[0] \n"
"vmla.f32 q11, q3, d9[1] \n"
"bne 0b \n"
"vadd.f32 q8, q8, q9 \n"
"vadd.f32 q10, q10, q11 \n"
"vadd.f32 q8, q8, q10 \n"
"vadd.f32 q12, q12, q8 \n"
"1: \n"
// remain loop
"and r4, %13, #3 \n" // r4 = remain = nn & 3
"cmp r4, #0 \n"
"beq 3f \n"
"2: \n"
"pld [%4, #32] \n"
"vld1.f32 {d8[],d9[]}, [%4]! \n"
"pld [%5, #128] \n"
"vld1.f32 {d0-d1}, [%5 :128]! \n"
"subs r4, r4, #1 \n"
"vmla.f32 q12, q4, q0 \n"
"bne 2b \n"
"3: \n"
"vst1.f32 {d24[0]}, [%0]! \n"
"vst1.f32 {d24[1]}, [%1]! \n"
"vst1.f32 {d25[0]}, [%2]! \n"
"vst1.f32 {d25[1]}, [%3]! \n"
: "=r"(outptr0), // %0
"=r"(outptr1), // %1
"=r"(outptr2), // %2
"=r"(outptr3), // %3
"=r"(tmpptr), // %4
"=r"(kptr) // %5
: "0"(outptr0),
"1"(outptr1),
"2"(outptr2),
"3"(outptr3),
"4"(tmpptr),
"5"(kptr),
"r"(biasptr), // %12
"r"(nn) // %13
: "cc", "memory", "r4", "q0", "q1", "q2", "q3", "q4", "q8", "q9", "q10", "q11", "q12");
#endif // __aarch64__
}
}
remain_outch_start += nn_outch << 2;
#pragma omp parallel for num_threads(opt.num_threads)
for (int p = remain_outch_start; p < outch; p++)
{
float* outptr0 = top_blob.channel(p);
const float bias0 = bias ? bias[p] : 0.f;
int i = 0;
for (; i + 7 < size; i += 8)
{
const float* tmpptr = tmp.channel(i / 8);
#if __aarch64__
const float* kptr = kernel.channel(p / 8 + (p % 8) / 4 + p % 4);
#else
const float* kptr = kernel.channel(p / 4 + p % 4);
#endif
int nn = inch * maxk; // inch always > 0
#if __aarch64__
asm volatile(
"dup v8.4s, %w6 \n"
"dup v9.4s, %w6 \n"
// inch loop
"lsr w4, %w7, #2 \n" // w4 = nn >> 2
"cmp w4, #0 \n"
"beq 1f \n"
"0: \n"
"prfm pldl1keep, [%1, #512] \n"
"ld1 {v4.4s, v5.4s, v6.4s, v7.4s}, [%1], #64 \n"
"prfm pldl1keep, [%2, #128] \n"
"ld1 {v0.4s}, [%2], #16 \n"
"fmla v8.4s, v4.4s, v0.s[0] \n"
"fmla v9.4s, v5.4s, v0.s[0] \n"
"prfm pldl1keep, [%1, #512] \n"
"ld1 {v12.4s, v13.4s, v14.4s, v15.4s}, [%1], #64 \n"
"fmla v8.4s, v6.4s, v0.s[1] \n"
"fmla v9.4s, v7.4s, v0.s[1] \n"
"subs w4, w4, #1 \n"
"fmla v8.4s, v12.4s, v0.s[2] \n"
"fmla v9.4s, v13.4s, v0.s[2] \n"
"fmla v8.4s, v14.4s, v0.s[3] \n"
"fmla v9.4s, v15.4s, v0.s[3] \n"
"bne 0b \n"
"1: \n"
// remain loop
"and w4, %w7, #3 \n" // w4 = remain = nn & 3
"cmp w4, #0 \n"
"beq 3f \n"
"2: \n"
"prfm pldl1keep, [%1, #256] \n"
"ld1 {v4.4s, v5.4s}, [%1], #32 \n"
"prfm pldl1keep, [%2, #32] \n"
"ld1r {v0.4s}, [%2], #4 \n"
"subs w4, w4, #1 \n"
"fmla v8.4s, v4.4s, v0.4s \n"
"fmla v9.4s, v5.4s, v0.4s \n"
"bne 2b \n"
"3: \n"
"st1 {v8.4s, v9.4s}, [%0], #32 \n"
: "=r"(outptr0), // %0
"=r"(tmpptr), // %1
"=r"(kptr) // %2
: "0"(outptr0),
"1"(tmpptr),
"2"(kptr),
"r"(bias0), // %6
"r"(nn) // %7
: "cc", "memory", "x4", "v0", "v4", "v5", "v6", "v7", "v8", "v9", "v12", "v13", "v14", "v15");
#else // __aarch64__
asm volatile(
"vdup.f32 q8, %6 \n"
"vdup.f32 q9, %6 \n"
// inch loop
"lsr r4, %7, #2 \n" // r4 = nn >> 2
"cmp r4, #0 \n"
"beq 1f \n"
"0: \n"
"pld [%1, #512] \n"
"vldm %1!, {d8-d15} \n"
// "vld1.f32 {d8-d11}, [%1 :128]! \n"
// "vld1.f32 {d12-d15}, [%1 :128]! \n"
"pld [%2, #128] \n"
"vld1.f32 {d0-d1}, [%2 :128]! \n"
"vmla.f32 q8, q4, d0[0] \n"
"vmla.f32 q9, q5, d0[0] \n"
"pld [%1, #512] \n"
"vldm %1!, {d24-d31} \n"
// "vld1.f32 {d24-d27}, [%1 :128]! \n"
// "vld1.f32 {d28-d31}, [%1 :128]! \n"
"vmla.f32 q8, q6, d0[1] \n"
"vmla.f32 q9, q7, d0[1] \n"
"subs r4, r4, #1 \n"
"vmla.f32 q8, q12, d1[0] \n"
"vmla.f32 q9, q13, d1[0] \n"
"vmla.f32 q8, q14, d1[1] \n"
"vmla.f32 q9, q15, d1[1] \n"
"bne 0b \n"
"1: \n"
// remain loop
"and r4, %7, #3 \n" // r4 = remain = nn & 3
"cmp r4, #0 \n"
"beq 3f \n"
"2: \n"
"pld [%1, #256] \n"
"vld1.f32 {d8-d11}, [%1 :128]! \n"
"pld [%2, #32] \n"
"vld1.f32 {d0[],d1[]}, [%2]! \n"
"subs r4, r4, #1 \n"
"vmla.f32 q8, q4, q0 \n"
"vmla.f32 q9, q5, q0 \n"
"bne 2b \n"
"3: \n"
"vst1.f32 {d16-d19}, [%0 :128]! \n"
: "=r"(outptr0), // %0
"=r"(tmpptr), // %1
"=r"(kptr) // %2
: "0"(outptr0),
"1"(tmpptr),
"2"(kptr),
"r"(bias0), // %6
"r"(nn) // %7
: "cc", "memory", "r4", "q0", "q4", "q5", "q6", "q7", "q8", "q9", "q12", "q13", "q14", "q15");
#endif // __aarch64__
}
for (; i + 3 < size; i += 4)
{
const float* tmpptr = tmp.channel(i / 8 + (i % 8) / 4);
#if __aarch64__
const float* kptr = kernel.channel(p / 8 + (p % 8) / 4 + p % 4);
#else
const float* kptr = kernel.channel(p / 4 + p % 4);
#endif
int nn = inch * maxk; // inch always > 0
#if __aarch64__
asm volatile(
"dup v8.4s, %w6 \n"
// inch loop
"lsr w4, %w7, #2 \n" // w4 = nn >> 2
"cmp w4, #0 \n"
"beq 1f \n"
"0: \n"
"prfm pldl1keep, [%1, #512] \n"
"ld1 {v4.4s, v5.4s, v6.4s, v7.4s}, [%1], #64 \n"
"prfm pldl1keep, [%2, #128] \n"
"ld1 {v0.4s}, [%2], #16 \n"
"subs w4, w4, #1 \n"
"fmla v8.4s, v4.4s, v0.s[0] \n"
"fmla v8.4s, v5.4s, v0.s[1] \n"
"fmla v8.4s, v6.4s, v0.s[2] \n"
"fmla v8.4s, v7.4s, v0.s[3] \n"
"bne 0b \n"
"1: \n"
// remain loop
"and w4, %w7, #3 \n" // w4 = remain = nn & 3
"cmp w4, #0 \n"
"beq 3f \n"
"2: \n"
"prfm pldl1keep, [%1, #128] \n"
"ld1 {v4.4s}, [%1], #16 \n"
"prfm pldl1keep, [%2, #32] \n"
"ld1r {v0.4s}, [%2], #4 \n"
"subs w4, w4, #1 \n"
"fmla v8.4s, v4.4s, v0.4s \n"
"bne 2b \n"
"3: \n"
"st1 {v8.4s}, [%0], #16 \n"
: "=r"(outptr0), // %0
"=r"(tmpptr), // %1
"=r"(kptr) // %2
: "0"(outptr0),
"1"(tmpptr),
"2"(kptr),
"r"(bias0), // %6
"r"(nn) // %7
: "cc", "memory", "x4", "v0", "v4", "v5", "v6", "v7", "v8");
#else // __aarch64__
asm volatile(
"vdup.f32 q8, %6 \n"
// inch loop
"lsr r4, %7, #2 \n" // r4 = nn >> 2
"cmp r4, #0 \n"
"beq 1f \n"
"0: \n"
"pld [%1, #512] \n"
"vldm %1!, {d8-d15} \n"
// "vld1.f32 {d8-d11}, [%1 :128]! \n"
// "vld1.f32 {d12-d15}, [%1 :128]! \n"
"pld [%2, #128] \n"
"vld1.f32 {d0-d1}, [%2]! \n"
"subs r4, r4, #1 \n"
"vmla.f32 q8, q4, d0[0] \n"
"vmla.f32 q8, q5, d0[1] \n"
"vmla.f32 q8, q6, d1[0] \n"
"vmla.f32 q8, q7, d1[1] \n"
"bne 0b \n"
"1: \n"
// remain loop
"and r4, %7, #3 \n" // r4 = remain = nn & 3
"cmp r4, #0 \n"
"beq 3f \n"
"2: \n"
"pld [%1, #128] \n"
"vld1.f32 {d8-d9}, [%1 :128]! \n"
"pld [%2, #32] \n"
"vld1.f32 {d0[],d1[]}, [%2]! \n"
"subs r4, r4, #1 \n"
"vmla.f32 q8, q4, q0 \n"
"bne 2b \n"
"3: \n"
"vst1.f32 {d16-d17}, [%0 :128]! \n"
: "=r"(outptr0), // %0
"=r"(tmpptr), // %1
"=r"(kptr) // %2
: "0"(outptr0),
"1"(tmpptr),
"2"(kptr),
"r"(bias0), // %6
"r"(nn) // %7
: "cc", "memory", "r4", "q0", "q4", "q5", "q6", "q7", "q8");
#endif // __aarch64__
}
for (; i < size; i++)
{
const float* tmpptr = tmp.channel(i / 8 + (i % 8) / 4 + i % 4);
#if __aarch64__
const float* kptr = kernel.channel(p / 8 + (p % 8) / 4 + p % 4);
#else
const float* kptr = kernel.channel(p / 4 + p % 4);
#endif
int nn = inch * maxk; // inch always > 0
float32x4_t _sum0 = vdupq_n_f32(0.f);
int q = 0;
for (; q + 3 < nn; q += 4)
{
float32x4_t _p0 = vld1q_f32(tmpptr);
tmpptr += 4;
float32x4_t _k0 = vld1q_f32(kptr);
kptr += 4;
#if __aarch64__
_sum0 = vfmaq_f32(_sum0, _p0, _k0);
#else
_sum0 = vmlaq_f32(_sum0, _p0, _k0);
#endif
}
#if __aarch64__
float sum0 = bias0 + vaddvq_f32(_sum0);
#else
float32x2_t _ss = vadd_f32(vget_low_f32(_sum0), vget_high_f32(_sum0));
float sum0 = bias0 + vget_lane_f32(vpadd_f32(_ss, _ss), 0);
#endif
for (; q < nn; q++)
{
sum0 += tmpptr[0] * kptr[0];
tmpptr++;
kptr++;
}
outptr0[0] = sum0;
outptr0++;
}
}
#else // __ARM_NEON
#pragma omp parallel for num_threads(opt.num_threads)
for (int p = 0; p < outch; p++)
{
float* outptr0 = top_blob.channel(p);
const float bias0 = bias ? bias[p] : 0.f;
for (int i = 0; i < size; i++)
{
const float* tmpptr = tmp.channel(i);
const float* kptr = kernel.channel(p);
int nn = inch * maxk; // inch always > 0
float sum0 = bias0;
for (int q = 0; q < nn; q++)
{
sum0 += tmpptr[0] * kptr[0];
tmpptr++;
kptr++;
}
outptr0[0] = sum0;
outptr0++;
}
}
#endif // __ARM_NEON
}
static void convolution_im2col_sgemm_transform_kernel_neon(const Mat& _kernel, Mat& kernel_tm, int inch, int outch, int kernel_w, int kernel_h)
{
const int maxk = kernel_w * kernel_h;
// interleave
// src = maxk-inch-outch
// dst = 4b-4a-maxk-inch/4a-outch/4b
Mat kernel = _kernel.reshape(maxk, inch, outch);
#if __ARM_NEON
#if __aarch64__
kernel_tm.create(32 * maxk, inch / 4 + inch % 4, outch / 8 + (outch % 8) / 4 + outch % 4);
#else
kernel_tm.create(16 * maxk, inch / 4 + inch % 4, outch / 4 + outch % 4);
#endif
int q = 0;
#if __aarch64__
for (; q + 7 < outch; q += 8)
{
const Mat k0 = kernel.channel(q);
const Mat k1 = kernel.channel(q + 1);
const Mat k2 = kernel.channel(q + 2);
const Mat k3 = kernel.channel(q + 3);
const Mat k4 = kernel.channel(q + 4);
const Mat k5 = kernel.channel(q + 5);
const Mat k6 = kernel.channel(q + 6);
const Mat k7 = kernel.channel(q + 7);
float* g00 = kernel_tm.channel(q / 8);
for (int p = 0; p < inch; p++)
{
const float* k00 = k0.row(p);
const float* k10 = k1.row(p);
const float* k20 = k2.row(p);
const float* k30 = k3.row(p);
const float* k40 = k4.row(p);
const float* k50 = k5.row(p);
const float* k60 = k6.row(p);
const float* k70 = k7.row(p);
for (int k = 0; k < maxk; k++)
{
g00[0] = k00[k];
g00[1] = k10[k];
g00[2] = k20[k];
g00[3] = k30[k];
g00[4] = k40[k];
g00[5] = k50[k];
g00[6] = k60[k];
g00[7] = k70[k];
g00 += 8;
}
}
}
#endif // __aarch64__
for (; q + 3 < outch; q += 4)
{
const Mat k0 = kernel.channel(q);
const Mat k1 = kernel.channel(q + 1);
const Mat k2 = kernel.channel(q + 2);
const Mat k3 = kernel.channel(q + 3);
#if __aarch64__
float* g00 = kernel_tm.channel(q / 8 + (q % 8) / 4);
#else
float* g00 = kernel_tm.channel(q / 4);
#endif
for (int p = 0; p < inch; p++)
{
const float* k00 = k0.row(p);
const float* k10 = k1.row(p);
const float* k20 = k2.row(p);
const float* k30 = k3.row(p);
for (int k = 0; k < maxk; k++)
{
g00[0] = k00[k];
g00[1] = k10[k];
g00[2] = k20[k];
g00[3] = k30[k];
g00 += 4;
}
}
}
for (; q < outch; q++)
{
const Mat k0 = kernel.channel(q);
#if __aarch64__
float* g00 = kernel_tm.channel(q / 8 + (q % 8) / 4 + q % 4);
#else
float* g00 = kernel_tm.channel(q / 4 + q % 4);
#endif
for (int p = 0; p < inch; p++)
{
const float* k00 = k0.row(p);
for (int k = 0; k < maxk; k++)
{
g00[0] = k00[k];
g00 += 1;
}
}
}
#else
kernel_tm = kernel;
#endif // __ARM_NEON
}
static void convolution_im2col_sgemm_neon(const Mat& bottom_blob, Mat& top_blob, const Mat& kernel, const Mat& _bias, int kernel_w, int kernel_h, int dilation_w, int dilation_h, int stride_w, int stride_h, const Option& opt)
{
int w = bottom_blob.w;
int inch = bottom_blob.c;
int outw = top_blob.w;
int outh = top_blob.h;
const int size = outw * outh;
const int maxk = kernel_w * kernel_h;
// im2col
Mat bottom_im2col(size, maxk, inch, 4u, 1, opt.workspace_allocator);
{
const int gap = w * stride_h - outw * stride_w;
#pragma omp parallel for num_threads(opt.num_threads)
for (int p = 0; p < inch; p++)
{
const Mat img = bottom_blob.channel(p);
float* ptr = bottom_im2col.channel(p);
for (int u = 0; u < kernel_h; u++)
{
for (int v = 0; v < kernel_w; v++)
{
const float* sptr = img.row<const float>(dilation_h * u) + dilation_w * v;
for (int i = 0; i < outh; i++)
{
int j = 0;
for (; j + 3 < outw; j += 4)
{
ptr[0] = sptr[0];
ptr[1] = sptr[stride_w];
ptr[2] = sptr[stride_w * 2];
ptr[3] = sptr[stride_w * 3];
sptr += stride_w * 4;
ptr += 4;
}
for (; j + 1 < outw; j += 2)
{
ptr[0] = sptr[0];
ptr[1] = sptr[stride_w];
sptr += stride_w * 2;
ptr += 2;
}
for (; j < outw; j++)
{
ptr[0] = sptr[0];
sptr += stride_w;
ptr += 1;
}
sptr += gap;
}
}
}
}
}
im2col_sgemm_neon(bottom_im2col, top_blob, kernel, _bias, opt);
}
|
GB_unop__bnot_int32_int32.c | //------------------------------------------------------------------------------
// GB_unop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2022, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated2/ folder, do not edit it
// (it is auto-generated from Generator/*).
#include "GB.h"
#ifndef GBCUDA_DEV
#include "GB_control.h"
#include "GB_atomics.h"
#include "GB_unop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB (_unop_apply__bnot_int32_int32)
// op(A') function: GB (_unop_tran__bnot_int32_int32)
// C type: int32_t
// A type: int32_t
// cast: int32_t cij = aij
// unaryop: cij = ~(aij)
#define GB_ATYPE \
int32_t
#define GB_CTYPE \
int32_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
int32_t aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = ~(x) ;
// casting
#define GB_CAST(z, aij) \
int32_t z = aij ;
// cij = op (aij)
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
int32_t aij = Ax [pA] ; \
/* Cx [pC] = op (cast (aij)) */ \
int32_t z = aij ; \
Cx [pC] = ~(z) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_BNOT || GxB_NO_INT32)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_apply__bnot_int32_int32)
(
int32_t *Cx, // Cx and Ax may be aliased
const int32_t *Ax,
const int8_t *restrict Ab, // A->b if A is bitmap
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
if (Ab == NULL)
{
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
int32_t aij = Ax [p] ;
int32_t z = aij ;
Cx [p] = ~(z) ;
}
}
else
{
// bitmap case, no transpose; A->b already memcpy'd into C->b
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!Ab [p]) continue ;
int32_t aij = Ax [p] ;
int32_t z = aij ;
Cx [p] = ~(z) ;
}
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_tran__bnot_int32_int32)
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
fft_wuxi.h | /*
* @Author: Jake Gu
* @Date: 2019-04-29 13:07:55
* @LastEditTime: 2019-04-29 13:07:55
*/
#ifndef __EPLACE_FFT_H__
#define __EPLACE_FFT_H__
#include <vector>
#include <cmath>
#include <stdexcept>
#include "global/global.h"
PROJECT_NAMESPACE_BEGIN
namespace eplace
{
namespace fft
{
constexpr double PI = 3.14159265358979323846;
/// Return true if a number is power of 2
template <typename T = unsigned>
inline bool isPowerOf2(T val)
{
return val && (val & (val - 1)) == 0;
}
/// Transpose a column-major matrix with M rows and N columns using block transpose method
template <typename TValue, typename TIndex = unsigned>
inline void transpose(const TValue *in, TValue *out, TIndex M, TIndex N, TIndex blockSize = 16)
{
#pragma omp parallel for collapse(2) schedule(static)
for (TIndex i = 0; i < N; i += blockSize)
{
for (TIndex j = 0; j < M; j += blockSize)
{
// Transpose the block beginning at [i, j]
TIndex xend = std::min(N, i + blockSize);
TIndex yend = std::min(M, j + blockSize);
for (TIndex x = i; x < xend; ++x)
{
for (TIndex y = j; y < yend; ++y)
{
out[x + y * N] = in[y + x * M];
}
}
}
}
}
/// Negate values in odd position of a vector
template <typename TValue, typename TIndex = unsigned>
inline void negateOddEntries(TValue *vec, TIndex N)
{
for (TIndex i = 1; i < N; i += 2)
{
vec[i] = -vec[i];
}
}
/// Precompute cosine values needed for N-point dct
/// @param cos size N - 1 buffer, contains the result after function call
/// @param N the length of target dct, must be power of 2
template <typename TValue, typename TIndex = unsigned>
void precompute_dct_cos(TValue *cos, TIndex N)
{
// The input length must be power of 2
if (! isPowerOf2<TIndex>(N))
{
throw std::domain_error("Input length is not power of 2.");
}
TIndex offset = 0;
TIndex halfLen = N / 2;
while (halfLen)
{
TValue phaseStep = 0.5 * PI / halfLen;
TValue phase = 0.5 * phaseStep;
for (TIndex i = 0; i < halfLen; ++i)
{
cos[offset + i] = 0.5 / std::cos(phase);
phase += phaseStep;
}
offset += halfLen;
halfLen /= 2;
}
}
/// Precompute cosine values needed for N-point idct
/// @param cos size N - 1 buffer, contains the result after function call
/// @param N the length of target idct, must be power of 2
template <typename TValue, typename TIndex = unsigned>
void precompute_idct_cos(TValue *cos, TIndex N)
{
// The input length must be power of 2
if (! isPowerOf2<TIndex>(N))
{
throw std::domain_error("Input length is not power of 2.");
}
TIndex offset = 0;
TIndex halfLen = 1;
while(halfLen < N)
{
TValue phaseStep = 0.5 * PI / halfLen;
TValue phase = 0.5 * phaseStep;
for (TIndex i = 0; i < halfLen; ++i)
{
cos[offset + i] = 0.5 / std::cos(phase);
phase += phaseStep;
}
offset += halfLen;
halfLen *= 2;
}
}
/// The implementation of fast Discrete Cosine Transform (DCT) algorithm and its inverse (IDCT) are Lee's algorithms
/// Algorithm reference: A New Algorithm to Compute the Discrete Cosine Transform, by Byeong Gi Lee, 1984
///
/// Lee's algorithm has a recursive structure in nature.
/// Here is a sample recursive implementation: https://www.nayuki.io/page/fast-discrete-cosine-transform-algorithms
///
/// My implementation here is iterative, which is more efficient than the recursive version.
/// Here is a sample iterative implementation: https://www.codeproject.com/Articles/151043/Iterative-Fast-1D-Forvard-DCT
/// Compute y[k] = sum_n=0..N-1 (x[n] * cos((n + 0.5) * k * PI / N)), for k = 0..N-1
/// @param vec length N sequence to be transformed
/// @param temp length 2 * N helping buffer
/// @param cos length N - 1, stores cosine values precomputed by function 'precompute_dct_cos'
/// @param N length of vec, must be power of 2
template <typename TValue, typename TIndex = unsigned>
inline void dct(TValue *vec, TValue *temp, const TValue *cos, TIndex N)
{
// The input length must be power of 2
if (! isPowerOf2<TIndex>(N))
{
throw std::domain_error("Input length is not power of 2.");
}
// 'temp' is used to store data of two adjacent iterations
// Copy 'vec' to the first N element in 'temp'
std::copy(vec, vec + N, temp);
// Pointers point to the beginning indices of two adjacent iterations
TValue *curr = temp;
TValue *next = temp + N;
// Current bufferfly length and half length
TIndex len = N;
TIndex halfLen = len / 2;
// Iteratively bi-partition sequences into sub-sequences
TIndex cosOffset = 0;
while (halfLen)
{
TIndex offset = 0;
TIndex steps = N / len;
for (TIndex k = 0; k < steps; ++k)
{
for (TIndex i = 0; i < halfLen; ++i)
{
next[offset + i] = curr[offset + i] + curr[offset + len - i - 1];
next[offset + halfLen + i] = (curr[offset + i] - curr[offset + len -i - 1]) * cos[cosOffset + i];
}
offset += len;
}
std::swap(curr, next);
cosOffset += halfLen;
len = halfLen;
halfLen /= 2;
}
// Bottom-up form the final DCT solution
// Note that the case len = 2 will do nothing, so we start from len = 4
len = 4;
halfLen = 2;
while(halfLen < N)
{
TIndex offset = 0;
TIndex steps = N / len;
for(TIndex k = 0; k < steps; ++k)
{
for(TIndex i = 0; i < halfLen - 1; ++i)
{
next[offset + i * 2] = curr[offset + i];
next[offset + i * 2 + 1] = curr[offset + halfLen + i] + curr[offset + halfLen + i + 1];
}
next[offset + len - 2] = curr[offset + halfLen - 1];
next[offset + len - 1] = curr[offset + len - 1];
offset += len;
}
std::swap(curr, next);
halfLen = len;
len *= 2;
}
// Populate the final results into 'vec'
std::copy(curr, curr + N, vec);
}
/// Compute y[k] = 0.5 * x[0] + sum_n=1..N-1 (x[n] * cos(n * (k + 0.5) * PI / N)), for k = 0..N-1
/// @param vec length N sequence to be transformed
/// @param temp length 2 * N helping buffer
/// @param cos length N - 1, stores cosine values precomputed by function 'precompute_idct_cos'
/// @param N length of vec, must be power of 2
template <typename TValue, typename TIndex = unsigned>
inline void idct(TValue *vec, TValue *temp, const TValue *cos, TIndex N)
{
// The input length must be power of 2
if (! isPowerOf2<TIndex>(N))
{
throw std::domain_error("Input length is not power of 2.");
}
// This array is used to store data of two adjacent iterations
// Copy 'vec' to the first N element in 'temp'
std::copy(vec, vec + N, temp);
temp[0] /= 2;
// Pointers point to the beginning indices of two adjacent iterations
TValue *curr = temp;
TValue *next = temp + N;
// Current bufferfly length and half length
TIndex len = N;
TIndex halfLen = len / 2;
// Iteratively bi-partition sequences into sub-sequences
while (halfLen)
{
TIndex offset = 0;
TIndex steps = N / len;
for (TIndex k = 0; k < steps; ++k)
{
next[offset] = curr[offset];
next[offset + halfLen] = curr[offset + 1];
for (TIndex i = 1; i < halfLen; ++i)
{
next[offset + i] = curr[offset + i * 2];
next[offset + halfLen + i] = curr[offset + i * 2 - 1] + curr[offset + i * 2 + 1];
}
offset += len;
}
std::swap(curr, next);
len = halfLen;
halfLen /= 2;
}
// Bottom-up form the final IDCT solution
len = 2;
halfLen = 1;
TIndex cosOffset = 0;
while(halfLen < N)
{
TIndex offset = 0;
TIndex steps = N / len;
for(TIndex k = 0; k < steps; ++k)
{
for(TIndex i = 0; i < halfLen; ++i)
{
TValue g = curr[offset + i];
TValue h = curr[offset + halfLen + i] * cos[cosOffset + i];
next[offset + i] = g + h;
next[offset + len - 1 - i] = g - h;
}
offset += len;
}
std::swap(curr, next);
cosOffset += halfLen;
halfLen = len;
len *= 2;
}
// Populate the final results into 'vec'
std::copy(curr, curr + N, vec);
}
/// Compute y[k] = sum_n=0..N-1 (x[n] * sin((n + 0.5) * (k + 1) * PI / N)), for k = 0..N-1
/// @param vec length N sequence to be transformed
/// @param temp length 2 * N helping buffer
/// @param cos length N - 1, stores cosine values precomputed by function 'precompute_dct_cos'
/// @param N length of vec, must be power of 2
template <typename TValue, typename TIndex = unsigned>
inline void dst(TValue *vec, TValue *temp, const TValue *cos, TIndex N)
{
negateOddEntries(vec, N);
dct<TValue, TIndex>(vec, temp, cos, N);
std::reverse(vec, vec + N);
}
/// Compute y[k] = 0.5 * (-1)^k * x[N - 1] + sum_n=1..N-2 (x[n] * sin((n + 1) * (k + 0.5) * PI / N)), for k = 0..N-1
/// @param vec length N sequence to be transformed
/// @param temp length 2 * N helping buffer
/// @param cos length N - 1, stores cosine values precomputed by function 'precompute_idct_cos'
/// @param N length of vec, must be power of 2
template <typename TValue, typename TIndex = unsigned>
inline void idst(TValue *vec, TValue *temp, const TValue *cos, TIndex N)
{
std::reverse(vec, vec + N);
idct<TValue, TIndex>(vec, temp, cos, N);
negateOddEntries(vec, N);
}
/// Compute y[k] = sum_n=0..N-1 (x[n] * sin(n * (k + 0.5) * PI / N)), for k = 0..N-1
/// This is a bit different from the standard IDST
/// @param vec length N sequence to be transformed
/// @param temp length 2 * N helping buffer
/// @param cos length N - 1, stores cosine values precomputed by function 'precompute_idct_cos'
/// @param N length of vec, must be power of 2
template <typename TValue, typename TIndex = unsigned>
inline void idxst(TValue *vec, TValue *temp, const TValue *cos, TIndex N)
{
// Left shift vec by 1 and pad 0 at vec[N - 1]
// Then reverse vec
vec[0] = 0;
for (TIndex i = 1, halfN = N / 2; i < halfN; ++i)
{
std::swap(vec[i], vec[N - i]);
}
idct<TValue, TIndex>(vec, temp, cos, N);
negateOddEntries(vec, N);
}
/// Compute dct(dct(mtx)^T)^T
/// @param mtx size M * N column-major matrix to be transformed
/// @param temp length 3 * M * N helping buffer, first 2 * M * N is for dct, the last M * N is for matrix transpose
/// @param cosM length M - 1, stores cosine values precomputed by function 'precompute_dct_cos' for M-point dct
/// @param cosN length N - 1, stores cosine values precomputed by function 'precompute_dct_cos' for N-point dct
/// @param M number of rows
/// @param N number of columns
template <typename TValue, typename TIndex = unsigned>
inline void dcct2(TValue *mtx, TValue *temp, const TValue *cosM, const TValue *cosN, TIndex M, TIndex N)
{
#pragma omp parallel for schedule(static)
for (TIndex i = 0; i < N; ++i)
{
dct<TValue, TIndex>(mtx + i * M, temp + 2 * i * M, cosM, M);
}
transpose<TValue, TIndex>(mtx, temp + 2 * M * N, M, N);
#pragma omp parallel for schedule(static)
for (TIndex i = 0; i < M; ++i)
{
dct<TValue, TIndex>(temp + 2 * M * N + i * N, temp + 2 * i * N, cosN, N);
}
transpose<TValue, TIndex>(temp + 2 * M * N, mtx, N, M);
}
/// Compute idct(idct(mtx)^T)^T
/// @param mtx size M * N column-major matrix to be transformed
/// @param temp length 3 * M * N helping buffer, first 2 * M * N is for idct, the last M * N is for matrix transpose
/// @param cosM length M - 1, stores cosine values precomputed by function 'precompute_idct_cos' for M-point dct
/// @param cosN length N - 1, stores cosine values precomputed by function 'precompute_idct_cos' for N-point dct
/// @param M number of rows
/// @param N number of columns
template <typename TValue, typename TIndex = unsigned>
inline void idcct2(TValue *mtx, TValue *temp, const TValue *cosM, const TValue *cosN, TIndex M, TIndex N)
{
#pragma omp parallel for schedule(static)
for (TIndex i = 0; i < N; ++i)
{
idct<TValue, TIndex>(mtx + i * M, temp + 2 * i * M, cosM, M);
}
transpose<TValue, TIndex>(mtx, temp + 2 * M * N, M, N);
#pragma omp parallel for schedule(static)
for (TIndex i = 0; i < M; ++i)
{
idct<TValue, TIndex>(temp + 2 * M * N + i * N, temp + 2 * i * N, cosN, N);
}
transpose<TValue, TIndex>(temp + 2 * M * N, mtx, N, M);
}
/// Compute idxst(idct(mtx)^T)^T
/// @param mtx size M * N column-major matrix to be transformed
/// @param temp length 3 * M * N helping buffer, first 2 * M * N is for idct, the last M * N is for matrix transpose
/// @param cosM length M - 1, stores cosine values precomputed by function 'precompute_idct_cos' for M-point dct
/// @param cosN length N - 1, stores cosine values precomputed by function 'precompute_idct_cos' for N-point dct
/// @param M number of rows
/// @param N number of columns
template <typename TValue, typename TIndex = unsigned>
inline void idsct2(TValue *mtx, TValue *temp, const TValue *cosM, const TValue *cosN, TIndex M, TIndex N)
{
#pragma omp parallel for schedule(static)
for (TIndex i = 0; i < N; ++i)
{
idct<TValue, TIndex>(mtx + i * M, temp + 2 * i * M, cosM, M);
}
transpose<TValue, TIndex>(mtx, temp + 2 * M * N, M, N);
#pragma omp parallel for schedule(static)
for (TIndex i = 0; i < M; ++i)
{
idxst<TValue, TIndex>(temp + 2 * M * N + i * N, temp + 2 * i * N, cosN, N);
}
transpose<TValue, TIndex>(temp + 2 * M * N, mtx, N, M);
}
/// Compute idct(idxst(mtx)^T)^T
/// @param mtx size M * N column-major matrix to be transformed
/// @param temp length 3 * M * N helping buffer, first 2 * M * N is for idct, the last M * N is for matrix transpose
/// @param cosM length M - 1, stores cosine values precomputed by function 'precompute_idct_cos' for M-point dct
/// @param cosN length N - 1, stores cosine values precomputed by function 'precompute_idct_cos' for N-point dct
/// @param M number of rows
/// @param N number of columns
template <typename TValue, typename TIndex = unsigned>
inline void idcst2(TValue *mtx, TValue *temp, const TValue *cosM, const TValue *cosN, TIndex M, TIndex N)
{
#pragma omp parallel for schedule(static)
for (TIndex i = 0; i < N; ++i)
{
idxst<TValue, TIndex>(mtx + i * M, temp + 2 * i * M, cosM, M);
}
transpose<TValue, TIndex>(mtx, temp + 2 * M * N, M, N);
#pragma omp parallel for schedule(static)
for (TIndex i = 0; i < M; ++i)
{
idct<TValue, TIndex>(temp + 2 * M * N + i * N, temp + 2 * i * N, cosN, N);
}
transpose<TValue, TIndex>(temp + 2 * M * N, mtx, N, M);
}
} // End of namespace eplace::fft
} // End of namespace eplace
PROJECT_NAMESPACE_END
#endif // __EPLACE_FFT_H__ |
util.h | #ifndef _C_UTIL_
#define _C_UTIL_
#include <math.h>
#include <iostream>
#include <omp.h>
#include <sys/time.h>
using std::endl;
double gettime() {
struct timeval t;
gettimeofday(&t,NULL);
return t.tv_sec+t.tv_usec*1e-6;
}
//-------------------------------------------------------------------
//--initialize array with maximum limit
//-------------------------------------------------------------------
template<typename datatype>
void fill(datatype *A, const int n, const datatype maxi){
for (int j = 0; j < n; j++){
A[j] = ((datatype) maxi * (rand() / (RAND_MAX + 1.0f)));
}
}
//--print matrix
template<typename datatype>
void print_matrix(datatype *A, int height, int width){
for(int i=0; i<height; i++){
for(int j=0; j<width; j++){
int idx = i*width + j;
std::cout<<A[idx]<<" ";
}
std::cout<<std::endl;
}
return;
}
//-------------------------------------------------------------------
//--verify results
//-------------------------------------------------------------------
#define MAX_RELATIVE_ERROR .002
template<typename datatype>
void verify_array(const datatype *cpuResults, const datatype *gpuResults, const int size){
bool passed = true;
#pragma omp parallel for
for (int i=0; i<size; i++){
if (fabs(cpuResults[i] - gpuResults[i]) / cpuResults[i] > MAX_RELATIVE_ERROR){
passed = false;
}
}
if (passed){
std::cout << "--cambine:passed:-)" << std::endl;
}
else{
std::cout << "--cambine: failed:-(" << std::endl;
}
return ;
}
template<typename datatype>
void compare_results(const datatype *cpu_results, const datatype *gpu_results, const int size){
bool passed = true;
//#pragma omp parallel for
for (int i=0; i<size; i++){
if (cpu_results[i]!=gpu_results[i]){
passed = false;
}
}
if (passed){
std::cout << "--cambine:passed:-)" << std::endl;
}
else{
std::cout << "--cambine: failed:-(" << std::endl;
}
return ;
}
#endif
|
betweennessCentrality.c | #include "defs.h"
double betweennessCentrality(graph* G, DOUBLE_T* BC)
{
mcsim_skip_instrs_begin();
VERT_T *S; /* stack of vertices in the order of non-decreasing
distance from s. Also used to implicitly
represent the BFS queue */
plist* P; /* predecessors of a vertex v on shortest paths from s */
DOUBLE_T* sig; /* No. of shortest paths */
LONG_T* d; /* Length of the shortest path between every pair */
DOUBLE_T* del; /* dependency of vertices */
LONG_T *in_degree, *numEdges, *pSums;
LONG_T *pListMem;
LONG_T* Srcs;
LONG_T *start, *end;
LONG_T MAX_NUM_PHASES;
LONG_T *psCount;
#ifdef _OPENMP
omp_lock_t* vLock;
LONG_T chunkSize;
#endif
int seed = 2387;
double elapsed_time;
#ifdef _OPENMP
#pragma omp parallel
{
#endif
VERT_T *myS, *myS_t;
LONG_T myS_size;
LONG_T i, j, k, p, count, myCount;
LONG_T v, w, vert;
LONG_T numV, num_traversals, n, m, phase_num;
LONG_T tid, nthreads;
int* stream;
#ifdef DIAGNOSTIC
double elapsed_time_part;
#endif
#ifdef _OPENMP
int myLock;
tid = omp_get_thread_num();
nthreads = omp_get_num_threads();
#else
tid = 0;
nthreads = 1;
#endif
#ifdef DIAGNOSTIC
if (tid == 0) {
elapsed_time_part = get_seconds();
}
#endif
/* numV: no. of vertices to run BFS from = 2^K4approx */
numV = 1<<K4approx;
n = G->n;
m = G->m;
/* Permute vertices */
if (tid == 0) {
Srcs = (LONG_T *) malloc(n*sizeof(LONG_T));
#ifdef _OPENMP
vLock = (omp_lock_t *) malloc(n*sizeof(omp_lock_t));
#endif
}
#ifdef _OPENMP
#pragma omp barrier
#pragma omp for
for (i=0; i<n; i++) {
omp_init_lock(&vLock[i]);
}
#endif
/* Initialize RNG stream */
stream = init_sprng(0, tid, nthreads, seed, SPRNG_DEFAULT);
#ifdef _OPENMP
#pragma omp for
#endif
for (i=0; i<n; i++) {
Srcs[i] = i;
}
#ifdef _OPENMP
#pragma omp for
#endif
for (i=0; i<n; i++) {
j = n*sprng(stream);
if (i != j) {
#ifdef _OPENMP
int l1 = omp_test_lock(&vLock[i]);
if (l1) {
int l2 = omp_test_lock(&vLock[j]);
if (l2) {
#endif
k = Srcs[i];
Srcs[i] = Srcs[j];
Srcs[j] = k;
#ifdef _OPENMP
omp_unset_lock(&vLock[j]);
}
omp_unset_lock(&vLock[i]);
}
#endif
}
}
#ifdef _OPENMP
#pragma omp barrier
#endif
#ifdef DIAGNOSTIC
if (tid == 0) {
elapsed_time_part = get_seconds() -elapsed_time_part;
fprintf(stderr, "Vertex ID permutation time: %lf seconds\n", elapsed_time_part);
elapsed_time_part = get_seconds();
}
#endif
/* Start timing code from here */
if (tid == 0) {
elapsed_time = get_seconds();
#ifdef VERIFYK4
MAX_NUM_PHASES = 2*sqrt(n);
#else
MAX_NUM_PHASES = 50;
#endif
}
#ifdef _OPENMP
#pragma omp barrier
#endif
/* Initialize predecessor lists */
/* The size of the predecessor list of each vertex is bounded by
its in-degree. So we first compute the in-degree of every
vertex */
if (tid == 0) {
P = (plist *) calloc(n, sizeof(plist));
in_degree = (LONG_T *) calloc(n+1, sizeof(LONG_T));
numEdges = (LONG_T *) malloc((n+1)*sizeof(LONG_T));
pSums = (LONG_T *) malloc(nthreads*sizeof(LONG_T));
}
#ifdef _OPENMP
#pragma omp barrier
#pragma omp for
#endif
for (i=0; i<m; i++) {
v = G->endV[i];
#ifdef _OPENMP
omp_set_lock(&vLock[v]);
#endif
in_degree[v]++;
#ifdef _OPENMP
omp_unset_lock(&vLock[v]);
#endif
}
prefix_sums(in_degree, numEdges, pSums, n);
if (tid == 0) {
pListMem = (LONG_T *) malloc(m*sizeof(LONG_T));
}
#ifdef _OPENMP
#pragma omp barrier
#pragma omp for
#endif
for (i=0; i<n; i++) {
P[i].list = pListMem + numEdges[i];
P[i].degree = in_degree[i];
P[i].count = 0;
}
#ifdef DIAGNOSTIC
if (tid == 0) {
elapsed_time_part = get_seconds() - elapsed_time_part;
fprintf(stderr, "In-degree computation time: %lf seconds\n", elapsed_time_part);
elapsed_time_part = get_seconds();
}
#endif
/* Allocate shared memory */
if (tid == 0) {
free(in_degree);
free(numEdges);
free(pSums);
S = (VERT_T *) malloc(n*sizeof(VERT_T));
sig = (DOUBLE_T *) malloc(n*sizeof(DOUBLE_T));
d = (LONG_T *) malloc(n*sizeof(LONG_T));
del = (DOUBLE_T *) calloc(n, sizeof(DOUBLE_T));
start = (LONG_T *) malloc(MAX_NUM_PHASES*sizeof(LONG_T));
end = (LONG_T *) malloc(MAX_NUM_PHASES*sizeof(LONG_T));
psCount = (LONG_T *) malloc((nthreads+1)*sizeof(LONG_T));
}
/* local memory for each thread */
myS_size = (2*n)/nthreads;
myS = (LONG_T *) malloc(myS_size*sizeof(LONG_T));
num_traversals = 0;
myCount = 0;
#ifdef _OPENMP
#pragma omp barrier
#endif
#ifdef _OPENMP
#pragma omp for
#endif
for (i=0; i<n; i++) {
d[i] = -1;
}
#ifdef DIAGNOSTIC
if (tid == 0) {
elapsed_time_part = get_seconds() -elapsed_time_part;
fprintf(stderr, "BC initialization time: %lf seconds\n", elapsed_time_part);
elapsed_time_part = get_seconds();
}
#endif
mcsim_skip_instrs_end();
for (p=0; p<n; p++) {
mcsim_skip_instrs_begin();
i = Srcs[p];
if (G->numEdges[i+1] - G->numEdges[i] == 0) {
continue;
} else {
num_traversals++;
}
if (num_traversals == numV + 1) {
break;
}
if (tid == 0) {
sig[i] = 1;
d[i] = 0;
S[0] = i;
start[0] = 0;
end[0] = 1;
}
count = 1;
phase_num = 0;
mcsim_skip_instrs_end();
#ifdef _OPENMP
#pragma omp barrier
#endif
while (end[phase_num] - start[phase_num] > 0) {
mcsim_skip_instrs_begin();
myCount = 0;
#ifdef _OPENMP
#pragma omp barrier
#pragma omp for schedule(dynamic)
#endif
for (vert = start[phase_num]; vert < end[phase_num]; vert++) {
v = S[vert];
for (j=G->numEdges[v]; j<G->numEdges[v+1]; j++) {
#ifndef VERIFYK4
/* Filter edges with weights divisible by 8 */
if ((G->weight[j] & 7) != 0) {
#endif
w = G->endV[j];
if (v != w) {
#ifdef _OPENMP
myLock = omp_test_lock(&vLock[w]);
if (myLock) {
#endif
/* w found for the first time? */
if (d[w] == -1) {
if (myS_size == myCount) {
/* Resize myS */
myS_t = (LONG_T *)
malloc(2*myS_size*sizeof(VERT_T));
memcpy(myS_t, myS, myS_size*sizeof(VERT_T));
free(myS);
myS = myS_t;
myS_size = 2*myS_size;
}
myS[myCount++] = w;
d[w] = d[v] + 1;
sig[w] = sig[v];
P[w].list[P[w].count++] = v;
} else if (d[w] == d[v] + 1) {
sig[w] += sig[v];
P[w].list[P[w].count++] = v;
}
#ifdef _OPENMP
omp_unset_lock(&vLock[w]);
} else {
if ((d[w] == -1) || (d[w] == d[v]+ 1)) {
omp_set_lock(&vLock[w]);
sig[w] += sig[v];
P[w].list[P[w].count++] = v;
omp_unset_lock(&vLock[w]);
}
}
#endif
}
#ifndef VERIFYK4
}
#endif
}
}
/* Merge all local stacks for next iteration */
phase_num++;
psCount[tid+1] = myCount;
#ifdef _OPENMP
#pragma omp barrier
#endif
if (tid == 0) {
start[phase_num] = end[phase_num-1];
psCount[0] = start[phase_num];
for(k=1; k<=nthreads; k++) {
psCount[k] = psCount[k-1] + psCount[k];
}
end[phase_num] = psCount[nthreads];
}
#ifdef _OPENMP
#pragma omp barrier
#endif
for (k = psCount[tid]; k < psCount[tid+1]; k++) {
S[k] = myS[k-psCount[tid]];
}
#ifdef _OPENMP
#pragma omp barrier
#endif
count = end[phase_num];
mcsim_skip_instrs_end();
}
phase_num--;
#ifdef _OPENMP
#pragma omp barrier
#endif
while (phase_num > 0) {
#ifdef PERSISTENT
mcsim_skip_instrs_begin();
DOUBLE_T *undolog_BC, *redolog_BC;
undolog_BC = (DOUBLE_T *) calloc(N, sizeof(DOUBLE_T));
redolog_BC = (DOUBLE_T *) calloc(N, sizeof(DOUBLE_T));
mcsim_skip_instrs_end();
#endif
#ifdef _OPENMP
#pragma omp for
#endif
for (j=start[phase_num]; j<end[phase_num]; j++) {
w = S[j];
for (k = 0; k<P[w].count; k++) {
v = P[w].list[k];
#ifdef _OPENMP
omp_set_lock(&vLock[v]);
#endif
del[v] = del[v] + sig[v]*(1+del[w])/sig[w];
#ifdef _OPENMP
omp_unset_lock(&vLock[v]);
#endif
}
#ifdef PERSISTENT
mcsim_log_begin();
//mcsim_skip_instrs_begin();
#ifdef UNDOLOG
undolog_BC[w] = BC[w];
#endif // UNDOLOG
#ifdef REDOLOG
redolog_BC[w] = BC[w] + del[w];
#endif // REDOLOG
//mcsim_skip_instrs_end();
mcsim_mem_fence();
mcsim_log_end();
mcsim_mem_fence();
#endif // PERSISTENT
BC[w] += del[w];
}
phase_num--;
#ifdef _OPENMP
#pragma omp barrier
#endif
// make sure undolog and redolog data structures are not discarded by compiler
#ifdef PERSISTENT
mcsim_skip_instrs_begin();
printf("%d\n", (int)((sizeof undolog_BC) + (sizeof redolog_BC)));
mcsim_skip_instrs_end();
#endif // PERSISTENT
}
mcsim_skip_instrs_begin();
#ifdef _OPENMP
chunkSize = n/nthreads;
#pragma omp for schedule(static, chunkSize)
#endif
for (j=0; j<count; j++) {
w = S[j];
d[w] = -1;
del[w] = 0;
P[w].count = 0;
}
mcsim_skip_instrs_end();
#ifdef _OPENMP
#pragma omp barrier
#endif
}
mcsim_skip_instrs_begin();
#ifdef DIAGNOSTIC
if (tid == 0) {
elapsed_time_part = get_seconds() -elapsed_time_part;
fprintf(stderr, "BC computation time: %lf seconds\n", elapsed_time_part);
}
#endif
#ifdef _OPENMP
#pragma omp for
for (i=0; i<n; i++) {
omp_destroy_lock(&vLock[i]);
}
#endif
free(myS);
if (tid == 0) {
free(S);
free(pListMem);
free(P);
free(sig);
free(d);
free(del);
#ifdef _OPENMP
free(vLock);
#endif
free(start);
free(end);
free(psCount);
elapsed_time = get_seconds() - elapsed_time;
free(Srcs);
}
free_sprng(stream);
#ifdef _OPENMP
}
#endif
/* Verification */
#ifdef VERIFYK4
double BCval;
if (SCALE % 2 == 0) {
BCval = 0.5*pow(2, 3*SCALE/2)-pow(2, SCALE)+1.0;
} else {
BCval = 0.75*pow(2, (3*SCALE-1)/2)-pow(2, SCALE)+1.0;
}
int failed = 0;
for (int i=0; i<G->n; i++) {
if (round(BC[i] - BCval) != 0) {
failed = 1;
break;
}
}
if (failed) {
fprintf(stderr, "Kernel 4 failed validation!\n");
} else {
fprintf(stderr, "Kernel 4 validation successful!\n");
}
#endif
mcsim_skip_instrs_end();
return elapsed_time;
}
|
oneWayFunction.c | /* Copyright 2016-2018 The Ulord Core Foundation */
#include "oneWayFunction.h"
#include <stdio.h>
#include <stdint.h>
#include <stdlib.h>
#include <string.h>
#include <assert.h>
// #include <omp.h>
#include "my_time.h"
#include "common.h"
// OpenSSL Library
#include "c_sha1.h"
#include "c_sha256.h"
#include "c_sha512.h"
#include "c_sha3_256.h"
#include "c_whirlpool.h"
#include "c_ripemd160.h"
#include "c_blake2s256.h"
#include "c_aes128.h"
#include "c_des.h"
#include "c_crc32.h"
#include "c_hmac_md5.h"
#include "c_rc4.h"
#include "c_camellia128.h"
// JTR source code
#include "c_gost.h"
#include "c_haval5_256.h"
#include "c_skein512_256.h"
OneWayFunctionInfor funcInfor[FUNCTION_NUM] = {
"SHA3-256", crypto_sha3_256,
"SHA1", crypto_sha1,
"SHA256", crypto_sha256,
"SHA512", crypto_sha512,
"Whirlpool", crypto_whirlpool,
"RIPEMD-160", crypto_ripemd160,
"BLAKE2s(256bits)", crypto_blake2s256,
"AES(128bits)", crypto_aes128,
"DES", crypto_des,
"RC4", crypto_rc4,
"Camellia(128bits)", crypto_camellia128,
"CRC32", crypto_crc32,
"HMAC(MD5)", crypto_hmac_md5,
"GOST R 34.11-94", crypto_gost,
"HAVAL-256/5", crypto_haval5_256,
"Skein-512(256bits)", crypto_skein512_256
};
void initOneWayFunction() {
gost_init_table();
CRC32_Table_Init();
}
/*
void testOneWayFunction(const char *mess, const int64_t iterNum) {
int64_t j;
uint32_t messLen = (uint32_t)strlen(mess);
uint8_t input[INPUT_LEN], output[FUNCTION_NUM][OUTPUT_LEN];
memset(input, 0, INPUT_LEN*sizeof(uint8_t));
memcpy(input, mess, messLen*sizeof(char));
printf("**************************** Correctness test (One way function) ****************************\n");
printf("Test message: %s\n", mess);
for (int i = 0; i < FUNCTION_NUM; ++i) {
printf("%02d ", i);
funcInfor[i].func(input, messLen, output[i]);
view_data_u8(funcInfor[i].funcName, output[i], OUTPUT_LEN);
}
printf("*********************************************************************************************\n");
printf("************************************************* Performance test (One way function) *************************************************\n");
uint8_t *result = (uint8_t *)malloc(iterNum * OUTPUT_LEN * sizeof(uint8_t));
assert(NULL != result);
memset(result, 0, iterNum * OUTPUT_LEN * sizeof(uint8_t));
uint32_t threadNumArr[] = {1, 4, 8, 12, 16, 20, 24, 32, 48, 64};
uint32_t threadNumTypes = sizeof(threadNumArr) / sizeof(uint32_t);
printf(" %-18s", "Algorithm");
for (uint32_t ix = 0; ix < threadNumTypes; ++ix)
printf("%12d", threadNumArr[ix]);
printf("\n");
for (int i = 0; i < FUNCTION_NUM; ++i) {
printf("%02d %-18s\t", i, funcInfor[i].funcName);
for (uint32_t ix = 0; ix < threadNumTypes; ++ix) {
omp_set_num_threads(threadNumArr[ix]);
double startTime = get_wall_time();
if (threadNumArr[ix] == 1) {
for (j = 0; j < iterNum; ++j) {
funcInfor[i].func(input, messLen, result + j * OUTPUT_LEN);
}
} else {
#pragma omp parallel for firstprivate(input), private(j) shared(result)
for (j = 0; j < iterNum; ++j) {
funcInfor[i].func(input, messLen, result + j * OUTPUT_LEN);
}
}
double endTime = get_wall_time();
double costTime = endTime - startTime;
printf("%5.0f Kps ", iterNum / 1000 / costTime); fflush(stdout);
// Check result
for (j = 0; j < iterNum; j += 1) {
if (memcmp(output[i], result + j * OUTPUT_LEN, OUTPUT_LEN)) {
printf("Thread num: %u, j: %ld\n", threadNumArr[ix], j);
view_data_u8("output", output[i], OUTPUT_LEN);
view_data_u8("result", result + j * OUTPUT_LEN, OUTPUT_LEN);
abort();
}
}
}
printf("\n");
}
if (NULL != result) {
free(result);
result = NULL;
}
printf("***************************************************************************************************************************************\n");
}
*/
|
GB_binop__times_uint16.c | //------------------------------------------------------------------------------
// GB_binop: hard-coded functions for each built-in binary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated2/ folder, do not edit it
// (it is auto-generated from Generator/*).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_emult.h"
#include "GB_control.h"
#include "GB_ek_slice.h"
#include "GB_dense.h"
#include "GB_atomics.h"
#include "GB_bitmap_assign_methods.h"
#include "GB_binop__include.h"
// C=binop(A,B) is defined by the following types and operators:
// A+B function (eWiseAdd): GB (_AaddB__times_uint16)
// A.*B function (eWiseMult): GB (_AemultB_01__times_uint16)
// A.*B function (eWiseMult): GB (_AemultB_02__times_uint16)
// A.*B function (eWiseMult): GB (_AemultB_03__times_uint16)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__times_uint16)
// A*D function (colscale): GB (_AxD__times_uint16)
// D*A function (rowscale): GB (_DxB__times_uint16)
// C+=B function (dense accum): GB (_Cdense_accumB__times_uint16)
// C+=b function (dense accum): GB (_Cdense_accumb__times_uint16)
// C+=A+B function (dense ewise3): GB (_Cdense_ewise3_accum__times_uint16)
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__times_uint16)
// C=scalar+B GB (_bind1st__times_uint16)
// C=scalar+B' GB (_bind1st_tran__times_uint16)
// C=A+scalar GB (_bind2nd__times_uint16)
// C=A'+scalar GB (_bind2nd_tran__times_uint16)
// C type: uint16_t
// A type: uint16_t
// B,b type: uint16_t
// BinaryOp: cij = (aij * bij)
#define GB_ATYPE \
uint16_t
#define GB_BTYPE \
uint16_t
#define GB_CTYPE \
uint16_t
// true if the types of A and B are identical
#define GB_ATYPE_IS_BTYPE \
1
// true if the types of C and A are identical
#define GB_CTYPE_IS_ATYPE \
1
// true if the types of C and B are identical
#define GB_CTYPE_IS_BTYPE \
1
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA,A_iso) \
uint16_t aij = GBX (Ax, pA, A_iso)
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB,B_iso) \
uint16_t bij = GBX (Bx, pB, B_iso)
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
uint16_t t
// cij = Ax [pA]
#define GB_COPY_A_TO_C(cij,Ax,pA,A_iso) \
cij = GBX (Ax, pA, A_iso)
// cij = Bx [pB]
#define GB_COPY_B_TO_C(cij,Bx,pB,B_iso) \
cij = GBX (Bx, pB, B_iso)
#define GB_CX(p) Cx [p]
// binary operator
#define GB_BINOP(z,x,y,i,j) \
z = (x * y) ;
// true if the binop must be flipped
#define GB_BINOP_FLIP \
0
// op is second
#define GB_OP_IS_SECOND \
0
// do the numerical phases of GB_add and GB_emult
#define GB_PHASE_2_OF_2
// hard-coded loops can be vectorized
#define GB_PRAGMA_SIMD_VECTORIZE GB_PRAGMA_SIMD
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_TIMES || GxB_NO_UINT16 || GxB_NO_TIMES_UINT16)
//------------------------------------------------------------------------------
// C += A+B, all 3 matrices dense
//------------------------------------------------------------------------------
// The op must be MIN, MAX, PLUS, MINUS, RMINUS, TIMES, DIV, or RDIV.
void GB (_Cdense_ewise3_accum__times_uint16)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_accum_template.c"
}
//------------------------------------------------------------------------------
// C = A+B, all 3 matrices dense
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_ewise3_noaccum__times_uint16)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_dense_ewise3_noaccum_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += B, accumulate a sparse matrix into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumB__times_uint16)
(
GrB_Matrix C,
const GrB_Matrix B,
const int64_t *B_ek_slicing, const int B_ntasks, const int B_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
#include "GB_dense_subassign_23_template.c"
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += b, accumulate a scalar into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumb__times_uint16)
(
GrB_Matrix C,
const GB_void *p_bwork,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
// get the scalar b for C += b, of type uint16_t
uint16_t bwork = (*((uint16_t *) p_bwork)) ;
#include "GB_dense_subassign_22_template.c"
return (GrB_SUCCESS) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = A*D, column scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_AxD__times_uint16)
(
GrB_Matrix C,
const GrB_Matrix A, bool A_is_pattern,
const GrB_Matrix D, bool D_is_pattern,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint16_t *restrict Cx = (uint16_t *) C->x ;
#include "GB_AxB_colscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = D*B, row scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_DxB__times_uint16)
(
GrB_Matrix C,
const GrB_Matrix D, bool D_is_pattern,
const GrB_Matrix B, bool B_is_pattern,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint16_t *restrict Cx = (uint16_t *) C->x ;
#include "GB_AxB_rowscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseAdd: C = A+B or C<M> = A+B
//------------------------------------------------------------------------------
GrB_Info GB (_AaddB__times_uint16)
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool Ch_is_Mh,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GB_WERK_DECLARE (M_ek_slicing, int64_t) ;
GB_WERK_DECLARE (A_ek_slicing, int64_t) ;
GB_WERK_DECLARE (B_ek_slicing, int64_t) ;
#include "GB_add_template.c"
GB_FREE_WORK ;
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C = A.*B or C<M> = A.*B
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_01__times_uint16)
(
GrB_Matrix C,
const int C_sparsity,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_01_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<#> = A.*B when A is sparse/hyper and B is bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_02__times_uint16)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool flipxy,
const int64_t *restrict Cp_kfirst,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if GB_BINOP_FLIP
// The operator is not commutative, and does not have a flipped
// variant. For example z=atan2(y,x).
if (flipxy)
{
// use fmult(y,x)
#undef GB_FLIPPED
#define GB_FLIPPED 1
#include "GB_emult_02_template.c"
}
else
{
// use fmult(x,y)
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
}
#else
// No need to handle the flip: the operator is either commutative, or
// has been handled by changing z=div(y,x) to z=rdiv(x,y) for example.
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<M> = A.*B, M sparse/hyper, A and B bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_03__times_uint16)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict Cp_kfirst,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_03_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, C<!M>=A.*B where C is bitmap
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_bitmap__times_uint16)
(
GrB_Matrix C,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_bitmap_emult_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (x,Bx): apply a binary operator to a matrix with scalar bind1st
//------------------------------------------------------------------------------
GrB_Info GB (_bind1st__times_uint16)
(
GB_void *Cx_output, // Cx and Bx may be aliased
const GB_void *x_input,
const GB_void *Bx_input,
const int8_t *restrict Bb,
int64_t bnz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint16_t *Cx = (uint16_t *) Cx_output ;
uint16_t x = (*((uint16_t *) x_input)) ;
uint16_t *Bx = (uint16_t *) Bx_input ;
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < bnz ; p++)
{
if (!GBB (Bb, p)) continue ;
uint16_t bij = GBX (Bx, p, false) ;
Cx [p] = (x * bij) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB (_bind2nd__times_uint16)
(
GB_void *Cx_output, // Cx and Ax may be aliased
const GB_void *Ax_input,
const GB_void *y_input,
const int8_t *restrict Ab,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
uint16_t *Cx = (uint16_t *) Cx_output ;
uint16_t *Ax = (uint16_t *) Ax_input ;
uint16_t y = (*((uint16_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
uint16_t aij = GBX (Ax, p, false) ;
Cx [p] = (aij * y) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (x, A'): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (x, aij), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
uint16_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = (x * aij) ; \
}
GrB_Info GB (_bind1st_tran__times_uint16)
(
GrB_Matrix C,
const GB_void *x_input,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
// GB_unop_transpose.c uses GB_ATYPE, but A is
// the 2nd input to binary operator z=f(x,y).
#undef GB_ATYPE
#define GB_ATYPE \
uint16_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint16_t x = (*((const uint16_t *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
uint16_t
}
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (aij, y), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
uint16_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = (aij * y) ; \
}
GrB_Info GB (_bind2nd_tran__times_uint16)
(
GrB_Matrix C,
const GrB_Matrix A,
const GB_void *y_input,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint16_t y = (*((const uint16_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
GB_unaryop__abs_int8_fp64.c | //------------------------------------------------------------------------------
// GB_unaryop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2019, All Rights Reserved.
// http://suitesparse.com See GraphBLAS/Doc/License.txt for license.
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_iterator.h"
#include "GB_unaryop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB_unop__abs_int8_fp64
// op(A') function: GB_tran__abs_int8_fp64
// C type: int8_t
// A type: double
// cast: int8_t cij ; GB_CAST_SIGNED(cij,aij,8)
// unaryop: cij = GB_IABS (aij)
#define GB_ATYPE \
double
#define GB_CTYPE \
int8_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
double aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = GB_IABS (x) ;
// casting
#define GB_CASTING(z, x) \
int8_t z ; GB_CAST_SIGNED(z,x,8) ;
// cij = op (cast (aij))
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
GB_GETA (aij, Ax, pA) ; \
/* Cx [pC] = op (cast (aij)) */ \
GB_CASTING (x, aij) ; \
GB_OP (GB_CX (pC), x) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_ABS || GxB_NO_INT8 || GxB_NO_FP64)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop__abs_int8_fp64
(
int8_t *restrict Cx,
const double *restrict Ax,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (int64_t p = 0 ; p < anz ; p++)
{
GB_CAST_OP (p, p) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_tran__abs_int8_fp64
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t **Rowcounts,
GBI_single_iterator Iter,
const int64_t *restrict A_slice,
int naslice
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#define GB_PHASE_2_OF_2
#include "GB_unaryop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
test.c | #include <stdio.h>
#include <time.h>
#include <omp.h>
int main()
{
int x = 1;
double secs = 0;
clock_t begin = clock();
#pragma omp parallel num_threads (2)
{
#pragma omp for schedule (static, 400)
for (int i = 0; i<800; i++)
{
//printf("%d",x);
x++;
}
}
clock_t end = clock();
secs = (double)(end-begin) / CLOCKS_PER_SEC;
printf("\nTime taken = %f\n", secs);
return 0;
} |
main.c | #define _POSIX_C_SOURCE 199309L
#include <stdlib.h>
#include <stdio.h>
#include <inttypes.h>
#include <unistd.h>
#include <time.h>
#include <math.h>
#include <string.h>
#include <omp.h>
#include <argp.h>
const char *argp_program_version =
"benchmark 0.1";
/* Program documentation. */
static char doc[] =
"Do some benchmark with openMP";
static struct argp_option options[] = {
{"verbose", 'v', 0, 0, "Produce verbose output" },
{"quiet", 'q', 0, 0, "Don't produce any output" },
{"iterations", 'i', "NUMBER", 0, "Number of iterations" },
{"output", 'o', "file", 0, "output to file instead of stdout" },
{"reps", 'r', "NUMBER", 0, "number of repetions in each iteration" },
{"data", 'b', "NUMBER", 0, "number of kB to iterate over (if size extends LVL1 cache, speed up can be faster then according to Amdahl's law)" },
{"operation", 'O', "name", 0, "operation e.g. mul, add. ..." },
{"numThreads", 'n', "NUMBER", 0, "specifies number of threads to be used. Default is num of logical cpus" },
{ 0 }
};
struct arguments
{
int silent, verbose, numThreads , buffer_size_kb , use_reps_iteration;
int use_output_file;
char *output_file;
char *operation;
size_t iterations, reps_per_iteration;
};
/* parse a single option. */
static error_t
parse_opt (int key, char *arg, struct argp_state *state)
{
/* get the input argument from argp_parse, which we
know is a pointer to our arguments structure. */
struct arguments *arguments = state->input;
switch (key)
{
case 'q': case 's':
arguments->silent = 1;
break;
case 'v':
arguments->verbose = 1;
break;
case 'o':
arguments->output_file = arg;
arguments->use_output_file = 1;
break;
case 'b':
arguments->buffer_size_kb = strtol(arg,NULL,10);//TODO error handling
break;
case 'O':
arguments->operation = arg;
break;
case 'n':
arguments->numThreads = strtol(arg,NULL,10);//TODO error handling
break;
case 'i':
arguments->iterations = strtol(arg,NULL,10);//TODO error handling
break;
case 'r':
arguments->use_reps_iteration = 1;
arguments->reps_per_iteration = strtol(arg,NULL,10);//TODO error handling
break;
case ARGP_KEY_ARG:
argp_usage (state);
break;
default:
return ARGP_ERR_UNKNOWN;
}
return 0;
}
/* our argp parser. */
static struct argp argp = { options, parse_opt, 0 , doc };
//parsing args set up end---------------------------------------------------------------
clock_t ticks, new_ticks;
struct timespec t1, t2;
void timespec_diff(struct timespec *start, struct timespec *stop,
struct timespec *result)
{
if ((stop->tv_nsec - start->tv_nsec) < 0) {
result->tv_sec = stop->tv_sec - start->tv_sec - 1;
result->tv_nsec = stop->tv_nsec - start->tv_nsec + 1000000000;
} else {
result->tv_sec = stop->tv_sec - start->tv_sec;
result->tv_nsec = stop->tv_nsec - start->tv_nsec;
}
return;
}
int main(int argc, char **argv) {
//parsing args----------------------------------------------------------------
struct arguments arguments;
/* default values. */
arguments.silent = 0;
arguments.verbose = 0;
arguments.reps_per_iteration = 100;
arguments.iterations = 100;
arguments.output_file = "-";
arguments.operation = "mul";
arguments.numThreads = 0;
arguments.buffer_size_kb = 0;
arguments.use_reps_iteration = 0;
argp_parse (&argp, argc, argv, 0, 0, &arguments);
//parsing args end---------------------------------------------------------------
//allocate mem for measured times
struct timespec * t_times = malloc(arguments.iterations * sizeof(struct timespec));
uint64_t * nanos = malloc(arguments.iterations * sizeof(uint64_t));
double * cpu_clocks = malloc(arguments.iterations * sizeof(double));
double * float_buffer = NULL;
//allocate mem for buffer
if (arguments.buffer_size_kb){
if (arguments.verbose)
printf("allocating %li bytes of memory\n", sizeof(double)*128*arguments.buffer_size_kb);
float_buffer = malloc(sizeof(double) * 128 * arguments.buffer_size_kb) ; //128 * 8byte(sizeof(double)) = 1kbyte
if (float_buffer == NULL)
perror("malloc\n");
memset(float_buffer,0, 128*sizeof(double));
for (size_t i = 0 ; i < arguments.buffer_size_kb * 128 ; i++){
float_buffer[i] = 1.1f;
}
if (arguments.verbose) {
if (arguments.use_reps_iteration) {
printf("warn: ignoring reps per iteration and set it to 128 * buffer_size\n");
}
else {
printf("setting reps per iteration to 128 * buffer_size\n");
}
}
arguments.reps_per_iteration = arguments.buffer_size_kb * 128;
}
float f2 = (float) arguments.iterations + 1.1f; //avoid compiler optimization, because iterations is unknown for compiler
float f1 = 1.1f;
//manage threads
if(arguments.numThreads == 0 ){
//setting thread number automatic
}
else{
omp_set_num_threads(arguments.numThreads);
}
if(arguments.verbose && !arguments.silent){
printf("using threads: %d\n", omp_get_max_threads());
}
//iterate
for (size_t j = 0; j < arguments.iterations ; j++){
f2 = (float) arguments.iterations + 0.1 + j;
clock_gettime(CLOCK_MONOTONIC, &t1);
ticks = clock();
//printf("time: %i\t", t1.tv_nsec);
if (arguments.buffer_size_kb == 0) {
#pragma omp parallel for private(f1,f2)
for (size_t i = 0; i < arguments.reps_per_iteration; i++) {
f1 = f2 * 1.1f;
//printf("thread: %i of %i\n", omp_get_thread_num() ,omp_get_num_threads()); for debugging
}
}
else {
#pragma omp parallel for
for (size_t i = 0 ; i < arguments.buffer_size_kb * 128 ; i++ ){
float_buffer[i] = float_buffer[i] * float_buffer[i];
//printf("thread: %i of %i\n", omp_get_thread_num() ,omp_get_num_threads()); //for debugging
}
}
clock_gettime(CLOCK_MONOTONIC, &t2);
new_ticks = clock();
struct timespec c;
timespec_diff(&t1,&t2,&c);
t_times[j] = c;
nanos[j] = c.tv_sec * 1000000000 + c.tv_nsec;
cpu_clocks[j] = (double )(new_ticks - ticks) * 1000000000 / (double) CLOCKS_PER_SEC;
}
//calculate mean and variance
uint64_t mean = 0;
double cpu_time_mean = 0.0f;
for ( size_t i = 0 ; i < arguments.iterations; i++){
mean += nanos[i];
cpu_time_mean += cpu_clocks[i];
if (arguments.verbose && !arguments.silent){
printf("real time per iteration = %ld sec %ld nsec \t cpu_time = %lf\n", t_times[i].tv_sec , t_times[i].tv_nsec, cpu_clocks[i]);
}
}
if (arguments.verbose){
printf("--------------------------------------------\n");
}
mean /= arguments.iterations;
cpu_time_mean /= arguments.iterations;
//variance of real time adn cpu time
uint64_t variance = 0;
double cpu_time_variance = 0;
for ( size_t i = 0 ; i < arguments.iterations; i++){
variance += (mean - nanos[i]) * (mean - nanos[i]);
cpu_time_variance += (cpu_time_mean - cpu_clocks[i]) * (cpu_time_mean - cpu_clocks[i]);
}
variance /= arguments.iterations;
cpu_time_variance /= arguments.iterations;
double std_deviation = sqrt(variance);
double rel_deviation = (double) std_deviation / (double) mean ;
//gflops
double gflop =( double ) arguments.reps_per_iteration / (double) mean ; // flops per nanosecond = Gflops
double gflop_deviation = rel_deviation * gflop;
double vgfkop = gflop_deviation * gflop_deviation;
//time calculated from cpu ticks
double cpu_time_deviation = sqrt(cpu_time_variance);
double cpu_time_rel_deviation = cpu_time_deviation / cpu_time_mean;
//gflops
double cpu_ticks_gflop =( double ) arguments.reps_per_iteration / (double) cpu_time_mean ; // flops per nanosecond = Gflops
double cpu_ticks_gflop_deviation = cpu_time_rel_deviation * cpu_ticks_gflop;
double cpu_ticks_vgfkop = cpu_ticks_gflop_deviation * cpu_ticks_gflop_deviation;
if(arguments.silent){
return 0;
}
if (arguments.verbose) {
printf("All values displayed in nanosecond and relative deviations in %%\n");
if(arguments.buffer_size_kb)
printf("Using buffer with %ikBytes", arguments.buffer_size_kb);
printf("real time from clock_gettime for one iteration (%ld operations):\n", arguments.reps_per_iteration);
printf("mean: %ld\tdeviation: %f\tvariance: %ld\trel deviation: %f\n", mean, std_deviation, variance, rel_deviation);
printf("\ngflops (1000000000 operations per second):\n");
printf("mean: %f\tdeviation: %f\tvariance: %f\trel deviation: %f\n", gflop, gflop_deviation, vgfkop,
rel_deviation);
printf("\ntime calculated from cpu ticks per iteration (%ld operations)(does not make sense for more then 1 thread):\n",
arguments.reps_per_iteration);
printf("mean: %f\tdeviation: %f\tvariance: %f\trel deviation: %f\n", cpu_time_mean, cpu_time_deviation,
cpu_time_variance, cpu_time_rel_deviation);
printf("\ngflops (1000000000 operations per second):\n");
printf("mean: %1f\tdeviation: %f\tvariance: %f\trel deviation: %f\n", cpu_ticks_gflop,
cpu_ticks_gflop_deviation, cpu_ticks_vgfkop, cpu_time_rel_deviation);
}
else {
printf("%f\t%f\t%f\t%f\t%i\n", gflop, gflop_deviation, vgfkop,
rel_deviation, omp_get_max_threads());
}
return 0;
}
|
3d7pt_var.c | /*
* Order-1, 3D 7 point stencil with variable coefficients
* Adapted from PLUTO and Pochoir test bench
*
* Tareq Malas
*/
#include <stdio.h>
#include <stdlib.h>
#include <sys/time.h>
#ifdef LIKWID_PERFMON
#include <likwid.h>
#endif
#include "print_utils.h"
#define TESTS 2
#define MAX(a,b) ((a) > (b) ? a : b)
#define MIN(a,b) ((a) < (b) ? a : b)
/* Subtract the `struct timeval' values X and Y,
* storing the result in RESULT.
*
* Return 1 if the difference is negative, otherwise 0.
*/
int timeval_subtract(struct timeval *result, struct timeval *x, struct timeval *y)
{
/* Perform the carry for the later subtraction by updating y. */
if (x->tv_usec < y->tv_usec)
{
int nsec = (y->tv_usec - x->tv_usec) / 1000000 + 1;
y->tv_usec -= 1000000 * nsec;
y->tv_sec += nsec;
}
if (x->tv_usec - y->tv_usec > 1000000)
{
int nsec = (x->tv_usec - y->tv_usec) / 1000000;
y->tv_usec += 1000000 * nsec;
y->tv_sec -= nsec;
}
/* Compute the time remaining to wait.
* tv_usec is certainly positive.
*/
result->tv_sec = x->tv_sec - y->tv_sec;
result->tv_usec = x->tv_usec - y->tv_usec;
/* Return 1 if result is negative. */
return x->tv_sec < y->tv_sec;
}
int main(int argc, char *argv[])
{
int t, i, j, k, m, test;
int Nx, Ny, Nz, Nt;
if (argc > 3) {
Nx = atoi(argv[1])+2;
Ny = atoi(argv[2])+2;
Nz = atoi(argv[3])+2;
}
if (argc > 4)
Nt = atoi(argv[4]);
// allocate the arrays
double ****A = (double ****) malloc(sizeof(double***)*2);
for(m=0; m<2;m++){
A[m] = (double ***) malloc(sizeof(double**)*Nz);
for(i=0; i<Nz; i++){
A[m][i] = (double**) malloc(sizeof(double*)*Ny);
for(j=0;j<Ny;j++){
A[m][i][j] = (double*) malloc(sizeof(double)*Nx);
}
}
}
double ****coef = (double ****) malloc(sizeof(double***)*7);
for(m=0; m<7;m++){
coef[m] = (double ***) malloc(sizeof(double**)*Nz);
for(i=0; i<Nz; i++){
coef[m][i] = (double**) malloc(sizeof(double*)*Ny);
for(j=0;j<Ny;j++){
coef[m][i][j] = (double*) malloc(sizeof(double)*Nx);
}
}
}
// tile size information, including extra element to decide the list length
int *tile_size = (int*) malloc(sizeof(int));
tile_size[0] = -1;
// The list is modified here before source-to-source transformations
tile_size = (int*) realloc((void *)tile_size, sizeof(int)*5);
tile_size[0] = 16;
tile_size[1] = 16;
tile_size[2] = 16;
tile_size[3] = 32;
tile_size[4] = -1;
// for timekeeping
int ts_return = -1;
struct timeval start, end, result;
double tdiff = 0.0, min_tdiff=1.e100;
const int BASE = 1024;
// initialize variables
//
srand(42);
for (i = 1; i < Nz; i++) {
for (j = 1; j < Ny; j++) {
for (k = 1; k < Nx; k++) {
A[0][i][j][k] = 1.0 * (rand() % BASE);
}
}
}
for (m=0; m<7; m++) {
for (i=1; i<Nz; i++) {
for (j=1; j<Ny; j++) {
for (k=1; k<Nx; k++) {
coef[m][i][j][k] = 1.0 * (rand() % BASE);
}
}
}
}
#ifdef LIKWID_PERFMON
LIKWID_MARKER_INIT;
#pragma omp parallel
{
LIKWID_MARKER_THREADINIT;
#pragma omp barrier
LIKWID_MARKER_START("calc");
}
#endif
int num_threads = 1;
#if defined(_OPENMP)
num_threads = omp_get_max_threads();
#endif
for(test=0; test<TESTS; test++){
gettimeofday(&start, 0);
// serial execution - Addition: 6 && Multiplication: 2
#pragma scop
for (t = 0; t < Nt-1; t++) {
for (i = 1; i < Nz-1; i++) {
for (j = 1; j < Ny-1; j++) {
for (k = 1; k < Nx-1; k++) {
A[(t+1)%2][i][j][k] = coef[0][i][j][k] * A[t%2][i ][j ][k ] +
coef[1][i][j][k] * A[t%2][i-1][j ][k ] +
coef[2][i][j][k] * A[t%2][i ][j-1][k ] +
coef[3][i][j][k] * A[t%2][i ][j ][k-1] +
coef[4][i][j][k] * A[t%2][i+1][j ][k ] +
coef[5][i][j][k] * A[t%2][i ][j+1][k ] +
coef[6][i][j][k] * A[t%2][i ][j ][k+1];
}
}
}
}
#pragma endscop
gettimeofday(&end, 0);
ts_return = timeval_subtract(&result, &end, &start);
tdiff = (double) (result.tv_sec + result.tv_usec * 1.0e-6);
min_tdiff = min(min_tdiff, tdiff);
printf("Rank 0 TEST# %d time: %f\n", test, tdiff);
}
PRINT_RESULTS(1, "variable no-symmetry")
#ifdef LIKWID_PERFMON
#pragma omp parallel
{
LIKWID_MARKER_STOP("calc");
}
LIKWID_MARKER_CLOSE;
#endif
// Free allocated arrays
for(i=0; i<Nz; i++){
for(j=0;j<Ny;j++){
free(A[0][i][j]);
free(A[1][i][j]);
}
free(A[0][i]);
free(A[1][i]);
}
free(A[0]);
free(A[1]);
for(m=0; m<7;m++){
for(i=0; i<Nz; i++){
for(j=0;j<Ny;j++){
free(coef[m][i][j]);
}
free(coef[m][i]);
}
free(coef[m]);
}
return 0;
}
|
color-tracking.h | #ifndef __COLOR_TRACKING_H__
#define __COLOR_TRACKING_H__
#include <stdint.h>
#include "omp.h"
#define max(x,y) ((x > y)? x : y)
#define min(x,y) ((x < y)? x : y)
#define IMG_DATATYPE uint8_t
/**
* Color Scale Coversion
*/
static inline void
colorScaleConversion(IMG_DATATYPE *input,
IMG_DATATYPE *output,
uint32_t size)
{
uint32_t i;
#pragma omp for
for (i = 0; i < size; i+=3)
{
/* FIRST STEP: Convert to [0..1] range */
int32_t red = input[i];
int32_t green = input[i+1];
int32_t blue = input[i+2];
/* SECOND STEP: Determine H, S, V coefficients */
int32_t mx = max (max (red, green), blue);
int32_t mn = min (min (red, green), blue);
int32_t mm = mx - mn;
int32_t V, S, H;
V = mx;
if (V == 0)
H = S = 0;
else
{
S = 255*(mm)/V;
if(S == 0)
H = 0;
else
{
if (mx == red)
H = 0 + 30*(green - blue)/mm;
else if (mx == green)
H = 60 + 30*(blue - red)/mm;
else
H = 120 + 30*(red - green)/mm;
}
if(H < 0)
H += 180;
}
output[i] = (IMG_DATATYPE) H;
output[i+1] = (IMG_DATATYPE) S;
output[i+2] = (IMG_DATATYPE) V;
}
return;
}
/**
* cvThreshold - Color Based Threasholding
*/
static inline void
threshold (IMG_DATATYPE *input,
IMG_DATATYPE *output,
uint32_t size)
{
//TUNE YELLOW RGB = 255, 255, 0 HSV 30 255 255
int32_t lb1 = 25;
int32_t ub1 = 45;
int32_t lb2 = 100;
int32_t ub2 = 255;
int32_t lb3 = 100;
int32_t ub3 = 255;
uint32_t i;
#pragma omp for
for (i = 0U; i < size; ++i)
{
output[i] = ((input[i*3] >= lb1) && (input[i*3] <= ub1) &&
(input[i*3 + 1] >= lb2) && (input[i*3 + 1] <= ub2) &&
(input[i*3 + 2] >= lb3) && (input[i*3 + 2] <= ub3)) ? 255 : 0;
}
return;
}
/**
* cvMoments - Center of Gravity Computation based on Moments
*/
static inline void
computeMoments (IMG_DATATYPE *input,
uint32_t *moments,
uint32_t Y,
uint32_t width,
uint32_t size)
{
uint32_t i;
uint32_t moments00 = 0U, moments01 = 0U, moments10 = 0U;
int32_t _x = 0, _y = Y;
#pragma omp for
for (i = 0; i < size; ++i)
{
if(input[i])
{
while(i > (_x + width))
{
_x += width;
_y ++;
}
moments00++; //M00
moments01 += (_y); //M01
moments10 += (i - _x); //M10
}
}
#pragma omp critical
{
moments[0] += moments00;
moments[1] += moments01;
moments[2] += moments10;
}
return;
}
#if 0
/**
c *vAdd - Image add based on channel-to-channel sum
*/
static inline void __cvAdd(IMG_DATATYPE *input_1, IMG_DATATYPE *input_2, IMG_DATATYPE *output, uint32_t size)
{
int i;
#pragma omp for
for(i = 0; i < size; ++i)
{
output[i] = input_1[i] + input_2[i];
if (output[i] >= 0xFF)
output[i] = 0xFF;
}
}
#endif
#endif
|
final_serial.c | // run as follows:
// gcc tetra.c -lm
// ./a.out input_coord.dat
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <math.h>
#include <omp.h>
//struct for input csv data
struct O_data
{
unsigned int index;
float x;
float y;
float z;
};
//Given the data in a line in a an inputfile, process it to put it in O_data struct
struct O_data * deserialize_data(struct O_data *data, const char *input)
{
return (sscanf(input, "%u,%f,%f,%f", &data->index, &data->x, &data->y, &data->z) != 7)
? NULL : data;
}
//Distance function for two pints in a struct
double getDistance(struct O_data a, struct O_data b)
{
double distance;
distance = sqrt((a.x - b.x) * (a.x - b.x) + (a.y-b.y) *(a.y-b.y) + (a.z - b.z) * (a.z - b.z));
return distance;
}
double getCosine(struct O_data a, struct O_data c, struct O_data b)
{
float ang, angle;
ang = (getDistance(c,a)*getDistance(c,a) + getDistance(c,b)*getDistance(c,b)- getDistance(a,b)*getDistance(a,b))/(2*getDistance(c,a)*getDistance(c,b));
angle = (ang+((1.0)/3))*(ang+((1.0)/3));
// SIN = sqrt(1-CS*CS);
// CS_1_3 = CS*cos(1/3) - SIN*sin(1/3);
// angle = CS_1_3*CS_1_3;
return angle;
}
//struct for neighbour distance and their indices
struct nbrs_ind {
float value;
int index;
};
// comparision function for sorting the neighbours
int cmp(const void *pa, const void *pb)
{
struct nbrs_ind *pa1 = (struct nbrs_ind *)pa;
struct nbrs_ind *pa2 = (struct nbrs_ind *)pb;
if ((*pa1).value < (*pa2).value)
return -1;
else if ((*pa1).value > (*pa2).value)
return 1;
else
return 0;
}
//Retrun to the six angle combination from four nearest neighbours.
void angle_comb( int var1[], int var2[],int var3)
{
int x;
for(x=0; x<4; x++)
{
var2[x] = var1[x];
}
var2[0] = var1[0] ; var2[1] = var3; var2[2] = var1[1];var2[3] = var1[0];var2[4] = var3;
var2[5] = var1[2];var2[6] = var1[0];var2[7] = var3;var2[8] = var1[3];var2[9] = var1[1];
var2[10] = var3;var2[11] = var1[2];var2[12] = var1[1];var2[13] = var3;var2[14] = var1[3] ;
var2[15] = var1[2];var2[16] = var3;var2[17] = var1[3] ;
}
//main program
int main(int argc, char *argv[])
{
FILE *stream; // file pointer
char *line = NULL; //line pointer
size_t len = 0;
ssize_t nread;
struct O_data * somedata = NULL; //pointer to inout struct
size_t ctr = 0; // count variable for the input data
int i,j,k,p,num_thds,thd_id ; // loop initilizers
if (argc != 3) {
fprintf(stderr, "Usage: %s <inputfile> %s <outputfile>\n", argv[0]);
exit(EXIT_FAILURE);
}
stream = fopen(argv[1], "r");
if (stream == NULL) {
perror("fopen");
exit(EXIT_FAILURE);
}
while ((nread = getline(&line, &len, stream)) != -1) {
if ((somedata = realloc(somedata, (ctr + 1) * sizeof(struct O_data))) == NULL) {
fprintf(stderr, "error not enough memory");
exit(EXIT_FAILURE);
}
ctr = ctr + 1;
deserialize_data(&somedata[ctr - 1], line);
}
// All the data is read in memory in somedata
p = ctr -1 ;
// printf("-------------------------------------------\n");
// printf("There are %d atoms in the input file. \n", ctr);
// printf("-------------------------------------------\n");
free(line);
fclose(stream);
float dist_mat[ctr][ctr] ; // create n by n matrix for distances
int index[ctr]; //index of rows in distance matrix
int nbrs_index[ctr][5]; //create n by 5 matrix for atom and its neighbours
// fill 2-D distnace matrix
// #pragma omp parallel for private(j,k)
for(j=0; j < ctr; j++){
#pragma omp parallel
{
for(k=0; k < ctr; k++) {
dist_mat[j][k] = getDistance(somedata[j], somedata[k]);
}
}
}
// printf("The angle between 3 points is: %lf \n", getCosine(somedata[0],somedata[1],somedata[2]));
//// Print the atom indices from somedata
for (i=0; i<ctr; i++) {
// index[i] = i;
printf("The somedata is %u \n", somedata[i]);
}
printf("-------------------------------------------\n");
printf("The distance matrix is below: \n");
printf("-------------------------------------------\n");
for(j=0; j <ctr; j++){
for(k=0;k<ctr;k++) {
printf("%f \t",dist_mat[j][k]);
}
printf("\n");
}
struct nbrs_ind objects[ctr] ; //Initialize neighbours and their indices struct
// objects[ctr] = (struct nbrs_ind*) malloc (ctr * sizeof(struct nbrs_ind));
#pragma omp paralle private(k)
{
for (k=0; k < ctr; k++) {
for (j=0; j < ctr; j++) {
objects[j].index = j;
objects[j].value = dist_mat[k][j];
}
// printf("\n");
// printf("The neighbour distances for atom number %d are: \n", k);
// for (i=0; i < ctr ; i++) {
// printf("%f \t",objects[i].value);
// }
// #pragma omp parallel
// {
qsort(objects, ctr, sizeof(objects[0]),cmp); //sort the rows which are distances from an item in distace matrix
// }
// printf("\n");
// printf("THe sorted values are: \n");
// for (i = 0; i < ctr; i++)
// printf("%f \t", objects[i].value);
// printf("\n");
// for(i=0; i <=4 ;i++) {
// nbrs_index[k][i] = objects[i].index;
// }
// printf("THe sorted indices are: \n");
// for (i = 0; i < ctr; i++)
// printf("%d \t", objects[i].index);
// printf("\n");
for(i=0; i <=4 ;i++) {
nbrs_index[k][i] = objects[i].index;
}
// for(i=0; i < ctr ;i++)
// nbrs_index[k][i] = objects[i].index;
}
}
// for(i=0; i < ctr ;i++) {
// for(j=0; j <=4 ;j++) {
// nbrs_index[k][i] = objects[i].index;
// }
// }
// nbrs_index[k][i] = objects[i].index;
// printf("-------------------------------------------\n");
// printf("The neighbours index matrix is :\n");
// printf("-------------------------------------------\n");
// for (k=0; k < ctr; k++) {
// for (i=0; i <=4 ;i++) {
// printf("%d \t ", nbrs_index[k][i]);
// }
// printf("\n");
// }
// printf("The angle combinations are:\n");
float cosines_atom[ctr][6];
float Q_atom[ctr];
for(k=0; k<ctr ; k++) {
int *tmp_nbrs = malloc(4*sizeof(int)) ;
int *tmp_nbrs_comb = malloc(18*sizeof(int)) ;
// printf("Tmp neighbours for atom %d are: \t ",k);
for(j=0;j<4;j++) {
tmp_nbrs[j] = nbrs_index[k][j+1];
// printf("%d \t", tmp_nbrs[j]);
}
angle_comb(tmp_nbrs,tmp_nbrs_comb,k);
// printf("%d\t %d\t %d\t \n",tmp_nbrs_comb[0],tmp_nbrs_comb[1], tmp_nbrs_comb[2]);
// printf("%d\t %d\t %d\t \n",tmp_nbrs_comb[3],tmp_nbrs_comb[4], tmp_nbrs_comb[5]);
// printf("%d\t %d\t %d\t \n",tmp_nbrs_comb[6],tmp_nbrs_comb[7], tmp_nbrs_comb[8]);
// printf("%d\t %d\t %d\t \n",tmp_nbrs_comb[9],tmp_nbrs_comb[10], tmp_nbrs_comb[11]);
// printf("%d\t %d\t %d\t \n",tmp_nbrs_comb[12],tmp_nbrs_comb[13],tmp_nbrs_comb[14]);
// printf("%d\t %d\t %d\t \n",tmp_nbrs_comb[15],tmp_nbrs_comb[16],tmp_nbrs_comb[17]);
for(i=0;i<6;i++) {
if(i==0) {
cosines_atom[ctr][i] = getCosine(somedata[tmp_nbrs_comb[0]],somedata[tmp_nbrs_comb[1]],somedata[tmp_nbrs_comb[2]]);
} else if(i==1){
cosines_atom[ctr][i] = getCosine(somedata[tmp_nbrs_comb[3]],somedata[tmp_nbrs_comb[4]],somedata[tmp_nbrs_comb[5]]);
} else if(i==2){
cosines_atom[ctr][i] = getCosine(somedata[tmp_nbrs_comb[6]],somedata[tmp_nbrs_comb[7]],somedata[tmp_nbrs_comb[8]]);
} else if(i==3){
cosines_atom[ctr][i] = getCosine(somedata[tmp_nbrs_comb[9]],somedata[tmp_nbrs_comb[10]],somedata[tmp_nbrs_comb[11]]);
} else if(i==4){
cosines_atom[ctr][i] = getCosine(somedata[tmp_nbrs_comb[12]],somedata[tmp_nbrs_comb[13]],somedata[tmp_nbrs_comb[14]]);
} else if(i==5){
cosines_atom[ctr][i] = getCosine(somedata[tmp_nbrs_comb[15]],somedata[tmp_nbrs_comb[16]],somedata[tmp_nbrs_comb[17]]);
} else {
exit(EXIT_FAILURE);
}
}
// printf("The six cosine angles for atom %d are: \n",k);
float *tmp_cosine = malloc(6*sizeof(float)) ;
float sum_cosine = 0;
// for(i=0;i<6;i++) {
// printf("%f\t",cosines_atom[ctr][i]);
// }
// printf("\n");
for(i=0;i<6;i++) {
sum_cosine += cosines_atom[ctr][i];
}
// printf("iteration %d \n",k);
// printf("The sum of cosines is %f \n",sum_cosine);
Q_atom[k] = (3/32.0)*sum_cosine;
// printf("\n");
free(tmp_nbrs);
free(tmp_nbrs_comb);
free(tmp_cosine);
}
float sum_q = 0;
FILE *outfile;
outfile = fopen(argv[2],"w");
for (i=0; i<ctr;i++) {
// printf("The Q for atom %d is %f \n",somedata[i].index, Q_atom[i]);
fprintf(outfile,"%d\t%.4f \n ",somedata[i].index,Q_atom[i]);
}
// fclose(outfile);
for (i=0; i<ctr;i++) {
sum_q += Q_atom[i];
}
fprintf(outfile, "Tetrahedral Order Parameter is %.4f. \n ",sum_q/ctr);
printf("Tetrahedral Order Parameter is %.4f. \n ",sum_q/ctr);
fclose(outfile);
free(somedata);
exit(EXIT_SUCCESS);
}
|
GB_unop__tanh_fp64_fp64.c | //------------------------------------------------------------------------------
// GB_unop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2020, All Rights Reserved.
// http://suitesparse.com See GraphBLAS/Doc/License.txt for license.
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_unop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB_unop_apply__tanh_fp64_fp64
// op(A') function: GB_unop_tran__tanh_fp64_fp64
// C type: double
// A type: double
// cast: double cij = aij
// unaryop: cij = tanh (aij)
#define GB_ATYPE \
double
#define GB_CTYPE \
double
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
double aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = tanh (x) ;
// casting
#define GB_CAST(z, aij) \
double z = aij ;
// cij = op (aij)
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
double aij = Ax [pA] ; \
/* Cx [pC] = op (cast (aij)) */ \
double z = aij ; \
Cx [pC] = tanh (z) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_TANH || GxB_NO_FP64)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop_apply__tanh_fp64_fp64
(
double *Cx, // Cx and Ax may be aliased
const double *Ax,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
double aij = Ax [p] ;
double z = aij ;
Cx [p] = tanh (z) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop_tran__tanh_fp64_fp64
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *GB_RESTRICT *Rowcounts,
GBI_single_iterator Iter,
const int64_t *GB_RESTRICT A_slice,
int naslice
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#define GB_PHASE_2_OF_2
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
kwallet_fmt_plug.c | /* KDE KWallet cracker patch for JtR. Written by Narendra Kangralkar
* <narendrakangralkar at gmail.com> and Dhiru Kholia <dhiru at openwall.com>.
*
* Also see https://github.com/gaganpreet/kwallet-dump ;)
*
* This software is Copyright (c) 2013 by above authors and it is hereby
* released to the general public under the following terms:
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted.
*/
#if FMT_EXTERNS_H
extern struct fmt_main fmt_kwallet;
#elif FMT_REGISTERS_H
john_register_one(&fmt_kwallet);
#else
#include <string.h>
#include <assert.h>
#include <errno.h>
#include "arch.h"
#include "misc.h"
#include "memory.h"
#include "common.h"
#include "formats.h"
#include "params.h"
#include "options.h"
#include <openssl/blowfish.h>
#include "sha.h"
#include "pbkdf2_hmac_sha512.h"
#ifdef _OPENMP
#include <omp.h>
#ifndef OMP_SCALE
#define OMP_SCALE 16 // reduced for PBKDF2_SHA512 case
#endif
#endif
#include "memdbg.h"
#define FORMAT_LABEL "kwallet"
#define FORMAT_NAME "KDE KWallet"
#define FORMAT_TAG "$kwallet$"
#define FORMAT_TAG_LEN (sizeof(FORMAT_TAG)-1)
#ifdef SIMD_COEF_64
#define ALGORITHM_NAME "SHA1 / PBKDF2-SHA512 " SHA1_ALGORITHM_NAME
#else
#define ALGORITHM_NAME "SHA1 / PBKDF2-SHA512 32/" ARCH_BITS_STR
#endif
#define BENCHMARK_COMMENT ""
#define BENCHMARK_LENGTH -1
#define BINARY_SIZE 0
#define PLAINTEXT_LENGTH 125
#define SALT_SIZE sizeof(*cur_salt)
#define BINARY_ALIGN 1
#define SALT_ALIGN sizeof(int)
#ifdef SIMD_COEF_64
#define MIN_KEYS_PER_CRYPT SSE_GROUP_SZ_SHA512
#define MAX_KEYS_PER_CRYPT SSE_GROUP_SZ_SHA512
#else
#define MIN_KEYS_PER_CRYPT 1
#define MAX_KEYS_PER_CRYPT 1
#endif
// #define BENCH_LARGE_PASSWORDS 1
static struct fmt_tests kwallet_tests[] = {
{"$kwallet$112$25be8c9cdaa53f5404d7809ff48a37752b325c8ccd296fbd537440dfcef9d66f72940e97141d21702b325c8ccd296fbd537440dfcef9d66fcd953cf1e41904b0c494ad1e718760e74c4487cc1449233d85525e7974da221774010bb9582b1d68b55ea9288f53a2be6bd15b93a5e1b33d", "openwall"},
{"$kwallet$240$e5383800cf0ccabf76461a647bf7ed94b7260f0ac33374ea1fec0bb0144b7e3f8fa3d0f368a61075827ac60beb62be830ece6fb2f9cfb13561ed4372af19d0a720a37b0d21132a59513b3ab9030395671c9725d7d6592ad98a4754795c858c59df6049522384af98c77d5351ddc577da07ea10e7d44b3fbc9af737744f53ed0a0a67252599b66a4d1fc65926d7097dc50f45b57f41f11934e0cfc4d5491f82b43f38acde1fd337d51cf47eb5da1bcd8bff1432d7b02f0d316633b33ced337d202a44342fc79db6aea568fb322831d886d4cb6dcc50a3e17c1027550b9ee94f56bc33f9861d2b24cbb7797d79f967bea4", ""},
#ifdef BENCH_LARGE_PASSWORDS
{"$kwallet$240$f17296588b2dd9f22f7c9ec43fddb5ee28db5edcb69575dcb887f5d2d0bfcc9317773c0f4e32517ace087d33ace8155a099e16c259c1a2f4f8992fc17481b122ef9f0c38c9eafd46794ff34e32c3ad83345f2d4e19ce727379856af9b774c00dca25a8528f5a2318af1fcbffdc6e73e7e081b106b4fbfe1887ea5bde782f9b3c3a2cfe3b215a65c66c03d053bfdee4d5d940e3e28f0c2d9897460fc1153af198b9037aac4dcd76e999c6d6a1f67f559e87349c6416cd7fc37b85ee230ef8caa2417b65732b61dbdb68fd2d12eb3df87474a05f337305c79427a970700a1b63f2018ba06f32e522bba4d30a0ec8ae223d", "pythonpythonpythonpythonpython"},
#endif
// modern KWallet hash
{"$kwallet$88$b4e0299dc00fbb467f622fa2f0d7b275a82014e947ae20583bcbd4a32d8bb1402f0e7baca2177ef11b86f9ce4bcbed7b638a0697202b1737a15b2cdddcc01c43748d4528f59ce402c31da30d265f8d8a02b20baeefc6e946$1$56$8f90f3b63faf4049373703f896d3511136696af6ce60b92010daa397c6eb8ea4c867288e61694002d3c152ef4d8e3119bf39cbcd6b65edb8$50000", "openwall"},
{NULL}
};
#if defined (_OPENMP)
static int omp_t = 1;
#endif
static char (*saved_key)[PLAINTEXT_LENGTH + 1];
static int *cracked;
static struct custom_salt {
unsigned char ct[0x10000];
unsigned int ctlen;
// following fields are required to support modern KWallet files
int kwallet_minor_version;
unsigned char salt[256];
int saltlen;
int iterations;
} *cur_salt;
static void init(struct fmt_main *self)
{
#if defined (_OPENMP)
omp_t = omp_get_max_threads();
self->params.min_keys_per_crypt *= omp_t;
omp_t *= OMP_SCALE;
self->params.max_keys_per_crypt *= omp_t;
#endif
saved_key = mem_calloc(self->params.max_keys_per_crypt,
sizeof(*saved_key));
cracked = mem_calloc(self->params.max_keys_per_crypt,
sizeof(*cracked));
}
static void done(void)
{
MEM_FREE(cracked);
MEM_FREE(saved_key);
}
static int valid(char *ciphertext, struct fmt_main *self)
{
char *ctcopy, *keeptr, *p;
int res, extra;
if (strncmp(ciphertext, FORMAT_TAG, FORMAT_TAG_LEN) != 0)
return 0;
ctcopy = strdup(ciphertext);
keeptr = ctcopy;
ctcopy += FORMAT_TAG_LEN;
if ((p = strtokm(ctcopy, "$")) == NULL) /* ctlen */
goto err;
if (!isdec(p))
goto err;
res = atoi(p);
if (!res)
goto err;
if ((p = strtokm(NULL, "$")) == NULL) /* ct */
goto err;
if (hexlenl(p, &extra) != res*2 || extra)
goto err;
if ((p = strtokm(NULL, "$")) != NULL) {
res = atoi(p); /* minor version */
if (res != 1) {
goto err;
}
if ((p = strtokm(NULL, "$")) == NULL) /* saltlen */
goto err;
res = atoi(p); /* saltlen */
if (res > 256)
goto err;
if ((p = strtokm(NULL, "$")) == NULL) /* salt */
goto err;
if (hexlenl(p, &extra) != res*2 || extra)
goto err;
if ((p = strtokm(NULL, "$")) == NULL) /* iterations */
goto err;
}
MEM_FREE(keeptr);
return 1;
err:
MEM_FREE(keeptr);
return 0;
}
static void *get_salt(char *ciphertext)
{
char *ctcopy = strdup(ciphertext);
static struct custom_salt *salt;
char *keeptr = ctcopy;
int i;
char *p;
ctcopy += FORMAT_TAG_LEN; /* skip over "$kwallet$" */
if (!salt) salt = mem_calloc_tiny(sizeof(struct custom_salt), MEM_ALIGN_WORD);
memset(salt, 0, sizeof(*salt));
p = strtokm(ctcopy, "$");
salt->ctlen = atoi(p);
p = strtokm(NULL, "$");
for (i = 0; i < salt->ctlen; i++)
salt->ct[i] = atoi16[ARCH_INDEX(p[i * 2])] * 16
+ atoi16[ARCH_INDEX(p[i * 2 + 1])];
if ((p = strtokm(NULL, "$")) != NULL) { // modern KWallet file
salt->kwallet_minor_version = atoi(p);
p = strtokm(NULL, "$");
salt->saltlen = atoi(p);
p = strtokm(NULL, "$");
for (i = 0; i < salt->saltlen; i++)
salt->salt[i] = atoi16[ARCH_INDEX(p[i * 2])] * 16
+ atoi16[ARCH_INDEX(p[i * 2 + 1])];
p = strtokm(NULL, "$");
salt->iterations = atoi(p);
} else {
// Old KWallet files, 0 has been the MINOR version until
// KWallet 4.13, from that point we use it to upgrade the hash
// to PBKDF2_SHA512
salt->kwallet_minor_version = 0;
}
MEM_FREE(keeptr);
return (void *)salt;
}
static void password2hash(const char *password, unsigned char *hash, int *key_size)
{
SHA_CTX ctx;
unsigned char output[20 * ((PLAINTEXT_LENGTH + 15) / 16)];
unsigned char buf[20];
int i, j, oindex = 0;
int plength = strlen(password);
// divide the password into blocks of size 16 and hash the resulting
// individually!
for (i = 0; i <= plength; i += 16) {
SHA1_Init(&ctx);
SHA1_Update(&ctx, password + i, MIN(plength - i, 16));
// To make brute force take longer
for (j = 0; j < 2000; j++) {
SHA1_Final(buf, &ctx);
SHA1_Init(&ctx);
SHA1_Update(&ctx, buf, 20);
}
memcpy(output + oindex, buf, 20);
oindex += 20;
}
if (plength < 16) {
// key size is 20
memcpy(hash, output, 20);
*key_size = 20;
}
else if (plength < 32) {
// key size is 40 (20/20)
memcpy(hash, output, 40);
*key_size = 40;
}
else if (plength < 48) {
// key size is 56 (20/20/16 split)
memcpy(hash, output, 56);
*key_size = 56;
}
else {
// key size is 56 (14/14/14 split)
memcpy(hash + 14 * 0, output + 0, 14);
memcpy(hash + 14 * 1, output + 20, 14);
memcpy(hash + 14 * 2, output + 40, 14);
*key_size = 56;
}
}
static void set_salt(void *salt)
{
cur_salt = (struct custom_salt *)salt;
}
// Based on "BlowfishPersistHandler::read" in backendpersisthandler.cpp
static int verify_key(unsigned char *key, int key_size)
{
SHA_CTX ctx;
BF_KEY bf_key;
int sz;
int i;
unsigned char testhash[20];
unsigned char buffer[0x10000]; // XXX respect the stack limits!
const char *t;
size_t fsize;
memcpy(buffer, cur_salt->ct, cur_salt->ctlen);
/* Blowfish implementation in KWallet is wrong w.r.t endianness
* Well, that is why we had bad_blowfish_plug.c originally ;) */
alter_endianity(buffer, cur_salt->ctlen);
if (cur_salt->kwallet_minor_version == 0) {
BF_set_key(&bf_key, key_size, key);
for (i = 0; i < cur_salt->ctlen; i += 8) {
BF_ecb_encrypt(buffer + i, buffer + i, &bf_key, 0);
}
} else if (cur_salt->kwallet_minor_version == 1) {
unsigned char ivec[8] = { 0 };
key_size = 56;
BF_set_key(&bf_key, key_size, key);
BF_cbc_encrypt(buffer, buffer, cur_salt->ctlen, &bf_key, ivec, 0);
}
alter_endianity(buffer, cur_salt->ctlen);
/* verification stuff */
t = (char *) buffer;
// strip the leading data
t += 8; // one block of random data
// strip the file size off
fsize = 0;
fsize |= ((size_t) (*t) << 24) & 0xff000000;
t++;
fsize |= ((size_t) (*t) << 16) & 0x00ff0000;
t++;
fsize |= ((size_t) (*t) << 8) & 0x0000ff00;
t++;
fsize |= (size_t) (*t) & 0x000000ff;
t++;
if (fsize > (size_t) (cur_salt->ctlen) - 8 - 4) {
// file structure error
return -1;
}
SHA1_Init(&ctx);
SHA1_Update(&ctx, t, fsize);
SHA1_Final(testhash, &ctx);
// compare hashes
sz = cur_salt->ctlen;
for (i = 0; i < 20; i++) {
if (testhash[i] != buffer[sz - 20 + i]) {
return -2;
}
}
return 0;
}
static int crypt_all(int *pcount, struct db_salt *salt)
{
const int count = *pcount;
int index = 0;
#ifdef _OPENMP
#pragma omp parallel for
#endif
for (index = 0; index < count; index += MAX_KEYS_PER_CRYPT)
{
unsigned char key[MAX_KEYS_PER_CRYPT][56]; /* 56 seems to be the max. key size */
int key_size[MAX_KEYS_PER_CRYPT];
int i;
if (cur_salt->kwallet_minor_version == 0) {
for (i = 0; i < MAX_KEYS_PER_CRYPT; ++i) {
password2hash(saved_key[index+i], key[i], &key_size[i]);
cracked[index+i] = !verify_key(key[i], key_size[i]);
}
} else if (cur_salt->kwallet_minor_version == 1) {
#ifdef SIMD_COEF_64
int len[MAX_KEYS_PER_CRYPT];
unsigned char *pin[MAX_KEYS_PER_CRYPT], *pout[MAX_KEYS_PER_CRYPT];
for (i = 0; i < MAX_KEYS_PER_CRYPT; ++i) {
len[i] = strlen(saved_key[i+index]);
pin[i] = (unsigned char*)saved_key[i+index];
pout[i] = key[i];
}
pbkdf2_sha512_sse((const unsigned char **)pin, len, cur_salt->salt, cur_salt->saltlen, cur_salt->iterations, pout, 56, 0);
#else
for (i = 0; i < MAX_KEYS_PER_CRYPT; ++i) {
pbkdf2_sha512((const unsigned char*)(saved_key[index+i]),
strlen(saved_key[index+i]), cur_salt->salt,
cur_salt->saltlen, cur_salt->iterations,
key[i], 56, 0);
}
#endif
for (i = 0; i < MAX_KEYS_PER_CRYPT; ++i)
cracked[index+i] = !verify_key(key[i], 56);
}
}
return count;
}
static int cmp_all(void *binary, int count)
{
int index;
for (index = 0; index < count; index++)
if (cracked[index])
return 1;
return 0;
}
static int cmp_one(void *binary, int index)
{
return cracked[index];
}
static int cmp_exact(char *source, int index)
{
return 1;
}
static void kwallet_set_key(char *key, int index)
{
strnzcpy(saved_key[index], key, sizeof(*saved_key));
}
static char *get_key(int index)
{
return saved_key[index];
}
struct fmt_main fmt_kwallet = {
{
FORMAT_LABEL,
FORMAT_NAME,
ALGORITHM_NAME,
BENCHMARK_COMMENT,
BENCHMARK_LENGTH,
0,
PLAINTEXT_LENGTH,
BINARY_SIZE,
BINARY_ALIGN,
SALT_SIZE,
SALT_ALIGN,
MIN_KEYS_PER_CRYPT,
MAX_KEYS_PER_CRYPT,
FMT_CASE | FMT_8_BIT | FMT_OMP,
{ NULL },
{ FORMAT_TAG },
kwallet_tests
}, {
init,
done,
fmt_default_reset,
fmt_default_prepare,
valid,
fmt_default_split,
fmt_default_binary,
get_salt,
{ NULL },
fmt_default_source,
{
fmt_default_binary_hash
},
fmt_default_salt_hash,
NULL,
set_salt,
kwallet_set_key,
get_key,
fmt_default_clear_keys,
crypt_all,
{
fmt_default_get_hash
},
cmp_all,
cmp_one,
cmp_exact
}
};
#endif /* plugin stanza */
|
compute_refl.c | #include "lasrc.h"
#include "time.h"
#include "aero_interp.h"
#include "poly_coeff.h"
/******************************************************************************
MODULE: compute_toa_refl
PURPOSE: Computes the TOA reflectance and TOA brightness temps for all
the bands except the pan band. Uses a per-pixel solar zenith angle for the
TOA corrections. Also determines radiometric saturation for each band, as
available.
RETURN VALUE:
Type = int
Value Description
----- -----------
ERROR Error computing the reflectance
SUCCESS No errors encountered
PROJECT: Land Satellites Data System Science Research and Development (LSRD)
at the USGS EROS
NOTES:
1. These TOA and BT algorithms match those as published by the USGS Landsat
team in http://landsat.usgs.gov/Landsat8_Using_Product.php
******************************************************************************/
int compute_toa_refl
(
Input_t *input, /* I: input structure for the Landsat product */
Espa_internal_meta_t *xml_metadata,
/* I: XML metadata structure */
uint16 *qaband, /* I: QA band for the input image, nlines x nsamps */
int nlines, /* I: number of lines in reflectance, thermal bands */
int nsamps, /* I: number of samps in reflectance, thermal bands */
char *instrument, /* I: instrument to be processed (OLI, TIRS) */
int16 *sza, /* I: scaled per-pixel solar zenith angles (degrees),
nlines x nsamps */
int16 **sband, /* O: output TOA reflectance and brightness temp
values (scaled) */
uint16 *radsat /* O: radiometric saturation QA band, nlines x nsamps;
array should be all zeros on input to this
routine*/
)
{
char errmsg[STR_SIZE]; /* error message */
char FUNC_NAME[] = "compute_toa_refl"; /* function name */
int i; /* looping variable for pixels */
int line, samp; /* looping variables for lines and samples */
int ib; /* looping variable for input bands */
int sband_ib; /* looping variable for output bands */
int iband; /* current band */
float rotoa; /* top of atmosphere reflectance */
float tmpf; /* temporary floating point value */
float refl_mult; /* reflectance multiplier for bands 1-9 */
float refl_add; /* reflectance additive for bands 1-9 */
float xcals; /* radiance multiplier for bands 10 and 11 */
float xcalo; /* radiance additive for bands 10 and 11 */
float k1b10; /* K1 temperature constant for band 10 */
float k1b11; /* K1 temperature constant for band 11 */
float k2b10; /* K2 temperature constant for band 10 */
float k2b11; /* K2 temperature constant for band 11 */
float xmus; /* cosine of solar zenith angle (per-pixel) */
uint16 *uband = NULL; /* array for input image data for a single band,
nlines x nsamps */
time_t mytime; /* time variable */
/* Start the processing */
mytime = time(NULL);
printf ("Start TOA reflectance corrections: %s", ctime(&mytime));
/* Allocate memory for band data */
uband = calloc (nlines*nsamps, sizeof (uint16));
if (uband == NULL)
{
sprintf (errmsg, "Error allocating memory for uband");
error_handler (true, FUNC_NAME, errmsg);
return (ERROR);
}
/* Loop through all the bands (except the pan band) and compute the TOA
reflectance and TOA brightness temp */
for (ib = DN_BAND1; ib <= DN_BAND11; ib++)
{
/* Don't process the pan band */
if (ib == DN_BAND8)
continue;
printf ("%d ... ", ib+1);
/* Read the current band and calibrate bands 1-9 (except pan) to
obtain TOA reflectance. Bands are corrected for the sun angle at
the center of the scene. */
if (ib <= DN_BAND9)
{
if (ib <= DN_BAND7)
{
iband = ib;
sband_ib = ib;
}
else
{ /* don't count the pan band */
iband = ib - 1;
sband_ib = ib - 1;
}
if (get_input_refl_lines (input, iband, 0, nlines, uband) !=
SUCCESS)
{
sprintf (errmsg, "Reading band %d", ib+1);
error_handler (true, FUNC_NAME, errmsg);
return (ERROR);
}
/* Get TOA reflectance coefficients for this reflectance band from
XML file */
refl_mult = input->meta.gain[iband];
refl_add = input->meta.bias[iband];
#ifdef _OPENMP
#pragma omp parallel for private (line, samp, i, xmus, rotoa)
#endif
for (line = 0; line < nlines; line++)
{
i = line * nsamps;
for (samp = 0; samp < nsamps; samp++, i++)
{
/* If this pixel is not fill */
if (!level1_qa_is_fill (qaband[i]))
{
/* Compute the TOA reflectance based on the per-pixel
sun angle (need to unscale). Scale the TOA value for
output. */
xmus = cos(sza[i] * 0.01 * DEG2RAD);
rotoa = (uband[i] * refl_mult) + refl_add;
rotoa = rotoa * MULT_FACTOR / xmus;
/* Save the scaled TOA reflectance value, but make
sure it falls within the defined valid range. */
if (rotoa < MIN_VALID)
sband[sband_ib][i] = MIN_VALID;
else if (rotoa > MAX_VALID)
sband[sband_ib][i] = MAX_VALID;
else
sband[sband_ib][i] = (int) (roundf (rotoa));
/* Check for saturation. Saturation is when the pixel
reaches the max allowed value. */
if (uband[i] == L1_SATURATED)
radsat[i] |= 1 << (ib+1);
}
else
{
sband[sband_ib][i] = FILL_VALUE;
radsat[i] = RADSAT_FILL_VALUE;
}
} /* for samp */
} /* for line */
} /* end if band <= band 9 */
/* Read the current band and calibrate thermal bands. Not available
for OLI-only scenes. */
else if (ib == DN_BAND10 && strcmp (instrument, "OLI"))
{
if (get_input_th_lines (input, 0, 0, nlines, uband) != SUCCESS)
{
sprintf (errmsg, "Reading band %d", ib+1);
error_handler (true, FUNC_NAME, errmsg);
return (ERROR);
}
/* Get brightness temp coefficients for this band from XML file */
xcals = input->meta.gain_th[0];
xcalo = input->meta.bias_th[0];
k1b10 = input->meta.k1_const[0];
k2b10 = input->meta.k2_const[0];
/* Compute brightness temp for band 10. Make sure it falls
within the min/max range for the thermal bands. */
#ifdef _OPENMP
#pragma omp parallel for private (i, tmpf)
#endif
for (i = 0; i < nlines*nsamps; i++)
{
/* If this pixel is not fill */
if (!level1_qa_is_fill (qaband[i]))
{
/* Compute the TOA spectral radiance */
tmpf = xcals * uband[i] + xcalo;
/* Compute TOA brightness temp (K) and scale for output */
tmpf = k2b10 / log (k1b10 / tmpf + 1.0);
tmpf = tmpf * MULT_FACTOR_TH; /* scale the value */
/* Make sure the brightness temp falls within the specified
range */
if (tmpf < MIN_VALID_TH)
sband[SR_BAND10][i] = MIN_VALID_TH;
else if (tmpf > MAX_VALID_TH)
sband[SR_BAND10][i] = MAX_VALID_TH;
else
sband[SR_BAND10][i] = (int) (roundf (tmpf));
/* Check for saturation */
if (uband[i] == L1_SATURATED)
radsat[i] |= 1 << (ib+1);
}
else
{
sband[SR_BAND10][i] = FILL_VALUE;
radsat[i] = RADSAT_FILL_VALUE;
}
}
} /* end if band 10 */
else if (ib == DN_BAND11 && strcmp (instrument, "OLI"))
{
if (get_input_th_lines (input, 1, 0, nlines, uband) != SUCCESS)
{
sprintf (errmsg, "Reading band %d", ib+1);
error_handler (true, FUNC_NAME, errmsg);
return (ERROR);
}
/* Get brightness temp coefficients for this band from XML file */
xcals = input->meta.gain_th[1];
xcalo = input->meta.bias_th[1];
k1b11 = input->meta.k1_const[1];
k2b11 = input->meta.k2_const[1];
/* Compute brightness temp for band 11. Make sure it falls
within the min/max range for the thermal bands. */
#ifdef _OPENMP
#pragma omp parallel for private (i, tmpf)
#endif
for (i = 0; i < nlines*nsamps; i++)
{
/* If this pixel is not fill */
if (!level1_qa_is_fill (qaband[i]))
{
/* Compute the TOA spectral radiance */
tmpf = xcals * uband[i] + xcalo;
/* Compute TOA brightness temp (K) and scale for output */
tmpf = k2b11 / log (k1b11 / tmpf + 1.0);
tmpf = tmpf * MULT_FACTOR_TH; /* scale the value */
/* Make sure the brightness temp falls within the specified
range */
if (tmpf < MIN_VALID_TH)
sband[SR_BAND11][i] = MIN_VALID_TH;
else if (tmpf > MAX_VALID_TH)
sband[SR_BAND11][i] = MAX_VALID_TH;
else
sband[SR_BAND11][i] = (int) (roundf (tmpf));
/* Check for saturation only */
if (uband[i] == L1_SATURATED)
radsat[i] |= 1 << (ib+1);
}
else
{
sband[SR_BAND11][i] = FILL_VALUE;
radsat[i] = RADSAT_FILL_VALUE;
}
}
} /* end if band 11 */
} /* end for ib */
printf ("\n");
/* The input data has been read and calibrated. The memory can be freed. */
free (uband);
/* Successful completion */
mytime = time(NULL);
printf ("End of TOA reflectance computations: %s", ctime(&mytime));
return (SUCCESS);
}
/******************************************************************************
MODULE: compute_sr_refl
PURPOSE: Computes the surfance reflectance for all the reflectance bands.
RETURN VALUE:
Type = int
Value Description
----- -----------
ERROR Error computing the reflectance
SUCCESS No errors encountered
PROJECT: Land Satellites Data System Science Research and Development (LSRD)
at the USGS EROS
NOTES:
1. Initializes the variables and data arrays from the lookup table and
auxiliary files.
2. The tauray array was originally read in from a static ASCII file, but it is
now hardcoded to save time from reading the file each time. This file was
generated (like many of the other auxiliary input tables) by running 6S and
storing the coefficients.
4. Aerosols are retrieved for all non-fill pixels. If the aerosol fails the
model residual or NDVI test, then the pixel is flagged as water. All water
pixels are run through a water-specific aerosol retrieval. If the model
residual fails, then that pixel is marked as failed aerosol retrieval. Any
pixel that failed retrieval is then interpolated using an average of the
clear (valid land pixel aerosols) and water (valid water pixel aerosols).
Those final aerosol values are used for the surface reflectance corrections.
5. Cloud-based QA information is not processed in this algorithm.
******************************************************************************/
int compute_sr_refl
(
Input_t *input, /* I: input structure for the Landsat product */
Espa_internal_meta_t *xml_metadata,
/* I: XML metadata structure */
char *xml_infile, /* I: input XML filename */
uint16 *qaband, /* I: QA band for the input image, nlines x nsamps */
int nlines, /* I: number of lines in reflectance, thermal bands */
int nsamps, /* I: number of samps in reflectance, thermal bands */
float pixsize, /* I: pixel size for the reflectance bands */
int16 **sband, /* I/O: input TOA and output surface reflectance */
int16 *sza, /* I: scaled per-pixel solar zenith angles (degrees),
nlines x nsamps */
int16 *saa, /* I: scaled per-pixel solar azimuth angles (degrees),
nlines x nsamps */
int16 *vza, /* I: scaled per-pixel view zenith angles (degrees),
nlines x nsamps */
int16 *vaa, /* I: scaled per-pixel view azimuth angles (degrees),
nlines x nsamps */
float xts, /* I: scene center solar zenith angle (deg) */
float xmus, /* I: cosine of solar zenith angle */
char *anglehdf, /* I: angle HDF filename */
char *intrefnm, /* I: intrinsic reflectance filename */
char *transmnm, /* I: transmission filename */
char *spheranm, /* I: spherical albedo filename */
char *cmgdemnm, /* I: climate modeling grid DEM filename */
char *rationm, /* I: ratio averages filename */
char *auxnm /* I: auxiliary filename for ozone and water vapor */
)
{
char errmsg[STR_SIZE]; /* error message */
char FUNC_NAME[] = "compute_sr_refl"; /* function name */
int retval; /* return status */
int i, j; /* looping variable for pixels */
int ib; /* looping variable for input bands */
int iband; /* current band */
int curr_pix; /* current pixel in 1D arrays of nlines * nsamps */
int center_pix; /* current pixel in 1D arrays of nlines * nsamps for
the center of the aerosol window */
int center_line; /* line for the center of the aerosol window */
int center_samp; /* sample for the center of the aerosol window */
int nearest_line; /* line for nearest non-fill/cloud pixel in the
aerosol window */
int nearest_samp; /* samp for nearest non-fill/cloud pixel in the
aerosol window */
float tmpf; /* temporary floating point value */
float rotoa; /* top of atmosphere reflectance */
float roslamb; /* lambertian surface reflectance */
float tgo; /* other gaseous transmittance (tgog * tgoz) */
float roatm; /* intrinsic atmospheric reflectance */
float ttatmg; /* total atmospheric transmission */
float satm; /* atmosphere spherical albedo */
float xrorayp; /* reflectance of the atmosphere due to molecular
(Rayleigh) scattering */
float next;
float erelc[NSR_BANDS]; /* band ratio variable for bands 1-7 */
float troatm[NSR_BANDS]; /* atmospheric reflectance table for bands 1-7 */
float btgo[NSR_BANDS]; /* other gaseous transmittance for bands 1-7 */
float broatm[NSR_BANDS]; /* atmospheric reflectance for bands 1-7 */
float bttatmg[NSR_BANDS]; /* ttatmg for bands 1-7 */
float bsatm[NSR_BANDS]; /* atmosphere spherical albedo for bands 1-7 */
int iband1, iband3; /* band indices (zero-based) */
float raot; /* AOT reflectance */
float sraot1, sraot2, sraot3;
/* raot values for three different eps values */
float residual; /* model residual */
float residual1, residual2, residual3;
/* residuals for 3 different eps values */
float rsurf; /* surface reflectance */
float corf; /* aerosol impact (higher values represent high
aerosol) */
float ros4,ros5; /* surface reflectance for bands 4 and 5 */
int tmp_percent; /* current percentage for printing status */
#ifndef _OPENMP
int curr_tmp_percent; /* percentage for current line */
#endif
float lat, lon; /* pixel lat, long location */
int lcmg, scmg; /* line/sample index for the CMG */
int lcmg1, scmg1; /* line+1/sample+1 index for the CMG */
float u, v; /* line/sample index for the CMG */
float one_minus_u; /* 1.0 - u */
float one_minus_v; /* 1.0 - v */
float one_minus_u_x_one_minus_v; /* (1.0 - u) * (1.0 - v) */
float one_minus_u_x_v; /* (1.0 - u) * v */
float u_x_one_minus_v; /* u * (1.0 - v) */
float u_x_v; /* u * v */
float ndwi_th1, ndwi_th2; /* values for NDWI calculations */
float xcmg, ycmg; /* x/y location for CMG */
float xndwi; /* calculated NDWI value */
#ifdef INTERP_AUX
int uoz11, uoz21, uoz12, uoz22; /* ozone at line,samp; line, samp+1;
line+1, samp; and line+1, samp+1 */
float pres11, pres12, pres21, pres22; /* pressure at line,samp;
line, samp+1; line+1, samp; and line+1, samp+1 */
float wv11, wv12, wv21, wv22; /* water vapor at line,samp;
line, samp+1; line+1, samp; and line+1, samp+1 */
#endif
float median_aerosol; /* median aerosol value for clear pixels */
uint8 *ipflag = NULL; /* QA flag to assist with aerosol interpolation,
nlines x nsamps */
float *twvi = NULL; /* interpolated water vapor value,
nlines x nsamps */
float *tozi = NULL; /* interpolated ozone value, nlines x nsamps */
float *tp = NULL; /* interpolated pressure value, nlines x nsamps */
float *taero = NULL; /* aerosol values for each pixel, nlines x nsamps */
float *teps = NULL; /* angstrom coeff for each pixel, nlines x nsamps */
int16 *aerob1 = NULL; /* atmospherically corrected band 1 data
(TOA refl), nlines x nsamps */
int16 *aerob2 = NULL; /* atmospherically corrected band 2 data
(TOA refl), nlines x nsamps */
int16 *aerob4 = NULL; /* atmospherically corrected band 4 data
(TOA refl), nlines x nsamps */
int16 *aerob5 = NULL; /* atmospherically corrected band 5 data
(TOA refl), nlines x nsamps */
int16 *aerob7 = NULL; /* atmospherically corrected band 7 data
(TOA refl), nlines x nsamps */
/* Vars for forward/inverse mapping space */
Geoloc_t *space = NULL; /* structure for geolocation information */
Space_def_t space_def; /* structure to define the space mapping */
Img_coord_float_t img; /* coordinate in line/sample space */
Geo_coord_t geo; /* coordinate in lat/long space */
/* Lookup table variables */
float eps; /* angstrom coefficient */
float eps1, eps2, eps3; /* eps values for three runs */
float xtv; /* observation zenith angle (deg) */
float xmuv; /* cosine of observation zenith angle */
float xfi; /* azimuthal difference between the sun and
observation angle (deg) */
float cosxfi; /* cosine of azimuthal difference */
float xtsstep; /* solar zenith step value */
float xtsmin; /* minimum solar zenith value */
float xtvstep; /* observation step value */
float xtvmin; /* minimum observation value */
float *rolutt = NULL; /* intrinsic reflectance table
[NSR_BANDS x NPRES_VALS x NAOT_VALS x NSOLAR_VALS] */
float *transt = NULL; /* transmission table
[NSR_BANDS x NPRES_VALS x NAOT_VALS x NSUNANGLE_VALS] */
float *sphalbt = NULL; /* spherical albedo table
[NSR_BANDS x NPRES_VALS x NAOT_VALS] */
float *normext = NULL; /* aerosol extinction coefficient at the current
wavelength (normalized at 550nm)
[NSR_BANDS x NPRES_VALS x NAOT_VALS] */
float *tsmax = NULL; /* maximum scattering angle table
[NVIEW_ZEN_VALS x NSOLAR_ZEN_VALS] */
float *tsmin = NULL; /* minimum scattering angle table
[NVIEW_ZEN_VALS x NSOLAR_ZEN_VALS] */
float *nbfi = NULL; /* number of azimuth angles
[NVIEW_ZEN_VALS x NSOLAR_ZEN_VALS] */
float *nbfic = NULL; /* communitive number of azimuth angles
[NVIEW_ZEN_VALS x NSOLAR_ZEN_VALS] */
float *ttv = NULL; /* view angle table
[NVIEW_ZEN_VALS x NSOLAR_ZEN_VALS] */
float tts[22]; /* sun angle table */
int32 indts[22]; /* index for sun angle table */
int iaots; /* index for AOTs */
/* Atmospheric correction coefficient variables */
float tgo_arr[NREFL_BANDS]; /* per-band other gaseous transmittance */
float xrorayp_arr[NREFL_BANDS]; /* per-band reflectance of the atmosphere
due to molecular (Rayleigh) scattering */
float roatm_arr[NREFL_BANDS][NAOT_VALS]; /* per band AOT vals for roatm */
float ttatmg_arr[NREFL_BANDS][NAOT_VALS]; /* per band AOT vals for ttatmg */
float satm_arr[NREFL_BANDS][NAOT_VALS]; /* per band AOT vals for satm */
float roatm_coef[NREFL_BANDS][NCOEF]; /* per band poly coeffs for roatm */
float ttatmg_coef[NREFL_BANDS][NCOEF]; /* per band poly coeffs for ttatmg */
float satm_coef[NREFL_BANDS][NCOEF]; /* per band poly coeffs for satm */
float normext_p0a3_arr[NREFL_BANDS]; /* per band normext[iband][0][3] */
int roatm_iaMax[NREFL_BANDS]; /* ??? */
int ia; /* looping variable for AOTs */
int iaMaxTemp; /* max temp for current AOT level */
float arr1[NAOT_VALS], coef1[NCOEF]; /* temporary arrays */
/* Auxiliary file variables */
int16 *dem = NULL; /* CMG DEM data array [DEM_NBLAT x DEM_NBLON] */
int16 *andwi = NULL; /* avg NDWI [RATIO_NBLAT x RATIO_NBLON] */
int16 *sndwi = NULL; /* standard NDWI [RATIO_NBLAT x RATIO_NBLON] */
int16 *ratiob1 = NULL; /* mean band1 ratio [RATIO_NBLAT x RATIO_NBLON] */
int16 *ratiob2 = NULL; /* mean band2 ratio [RATIO_NBLAT x RATIO_NBLON] */
int16 *ratiob7 = NULL; /* mean band7 ratio [RATIO_NBLAT x RATIO_NBLON] */
int16 *intratiob1 = NULL; /* intercept band1 ratio,
RATIO_NBLAT x RATIO_NBLON */
int16 *intratiob2 = NULL; /* intercept band2 ratio
RATIO_NBLAT x RATIO_NBLON */
int16 *intratiob7 = NULL; /* intercept band7 ratio
RATIO_NBLAT x RATIO_NBLON */
int16 *slpratiob1 = NULL; /* slope band1 ratio
RATIO_NBLAT x RATIO_NBLON */
int16 *slpratiob2 = NULL; /* slope band2 ratio
RATIO_NBLAT x RATIO_NBLON */
int16 *slpratiob7 = NULL; /* slope band7 ratio
RATIO_NBLAT x RATIO_NBLON */
uint16 *wv = NULL; /* water vapor values [CMG_NBLAT x CMG_NBLON] */
uint8 *oz = NULL; /* ozone values [CMG_NBLAT x CMG_NBLON] */
float raot550nm; /* nearest input value of AOT */
float uoz; /* total column ozone */
float uwv; /* total column water vapor (precipital water vapor) */
float pres; /* surface pressure */
float rb1; /* band ratio 1 (unscaled) */
float rb2; /* band ratio 2 (unscaled) */
float slpr11, slpr12, slpr21, slpr22; /* band ratio slope at line,samp;
line, samp+1; line+1, samp; and line+1, samp+1 */
float intr11, intr12, intr21, intr22; /* band ratio intercept at line,samp;
line, samp+1; line+1, samp; and line+1, samp+1 */
float slprb1, slprb2, slprb7; /* interpolated band ratio slope values for
band ratios 1, 2, 7 */
float intrb1, intrb2, intrb7; /* interpolated band ratio intercept values
for band ratios 1, 2, 7 */
int ratio_pix11; /* pixel location for ratio products [lcmg][scmg] */
int ratio_pix12; /* pixel location for ratio products [lcmg][scmg+1] */
int ratio_pix21; /* pixel location for ratio products [lcmg+1][scmg] */
int ratio_pix22; /* pixel location for ratio products [lcmg+1][scmg+1] */
#ifdef INTERP_AUX
int cmg_pix11; /* pixel location for CMG/DEM products [lcmg][scmg] */
int cmg_pix12; /* pixel location for CMG/DEM products [lcmg][scmg+1] */
int cmg_pix21; /* pixel location for CMG/DEM products [lcmg+1][scmg] */
int cmg_pix22; /* pixel location for CMG/DEM products [lcmg+1][scmg+1] */
#endif
/* Variables for finding the eps that minimizes the residual */
double xa, xb, xc, xd, xe, xf; /* coefficients */
double coefa, coefb; /* coefficients */
float epsmin; /* eps which minimizes the residual */
/* Output file info */
time_t mytime; /* timing variable */
Output_t *sr_output = NULL; /* output structure and metadata for the SR
product */
Envi_header_t envi_hdr; /* output ENVI header information */
char envi_file[STR_SIZE]; /* ENVI filename */
char *cptr = NULL; /* pointer to the file extension */
/* Table constants */
float aot550nm[NAOT_VALS] = /* AOT look-up table */
{0.01, 0.05, 0.10, 0.15, 0.20, 0.30, 0.40, 0.60, 0.80, 1.00, 1.20,
1.40, 1.60, 1.80, 2.00, 2.30, 2.60, 3.00, 3.50, 4.00, 4.50, 5.00};
float tpres[NPRES_VALS] = /* surface pressure table */
{1050.0, 1013.0, 900.0, 800.0, 700.0, 600.0, 500.0};
/* Atmospheric correction variables */
/* Look up table for atmospheric and geometric quantities */
float tauray[NSR_BANDS] = /* molecular optical thickness coefficients --
produced by running 6S */
{0.23638, 0.16933, 0.09070, 0.04827, 0.01563, 0.00129, 0.00037,
0.07984};
double oztransa[NSR_BANDS] = /* ozone transmission coeff */
{-0.00255649, -0.0177861, -0.0969872, -0.0611428, 0.0001, 0.0001,
0.0001, -0.0834061};
double wvtransa[NSR_BANDS] = /* water vapor transmission coeff */
{2.29849e-27, 2.29849e-27, 0.00194772, 0.00404159, 0.000729136,
0.00067324, 0.0177533, 0.00279738};
double wvtransb[NSR_BANDS] = /* water vapor transmission coeff */
{0.999742, 0.999742, 0.775024, 0.774482, 0.893085, 0.939669, 0.65094,
0.759952};
double ogtransa1[NSR_BANDS] = /* other gases transmission coeff */
{4.91586e-20, 4.91586e-20, 4.91586e-20, 1.04801e-05, 1.35216e-05,
0.0205425, 0.0256526, 0.000214329};
double ogtransb0[NSR_BANDS] = /* other gases transmission coeff */
{0.000197019, 0.000197019, 0.000197019, 0.640215, -0.195998, 0.326577,
0.243961, 0.396322};
double ogtransb1[NSR_BANDS] = /* other gases transmission coeff */
{9.57011e-16, 9.57011e-16, 9.57011e-16, -0.348785, 0.275239, 0.0117192,
0.0616101, 0.04728};
#ifdef WRITE_TAERO
FILE *aero_fptr=NULL; /* file pointer for aerosol files */
#endif
/* Start processing */
mytime = time(NULL);
printf ("Start surface reflectance corrections: %s", ctime(&mytime));
/* Allocate memory for the many arrays needed to do the surface reflectance
computations */
retval = memory_allocation_sr (nlines, nsamps, &aerob1, &aerob2, &aerob4,
&aerob5, &aerob7, &ipflag, &twvi, &tozi, &tp, &taero, &teps, &dem,
&andwi, &sndwi, &ratiob1, &ratiob2, &ratiob7, &intratiob1, &intratiob2,
&intratiob7, &slpratiob1, &slpratiob2, &slpratiob7, &wv, &oz, &rolutt,
&transt, &sphalbt, &normext, &tsmax, &tsmin, &nbfic, &nbfi, &ttv);
if (retval != SUCCESS)
{
sprintf (errmsg, "Error allocating memory for the data arrays needed "
"for surface reflectance calculations.");
error_handler (false, FUNC_NAME, errmsg);
return (ERROR);
}
/* Initialize the geolocation space applications */
if (!get_geoloc_info (xml_metadata, &space_def))
{
sprintf (errmsg, "Getting the space definition from the XML file");
error_handler (true, FUNC_NAME, errmsg);
return (ERROR);
}
space = setup_mapping (&space_def);
if (space == NULL)
{
sprintf (errmsg, "Setting up the geolocation mapping");
error_handler (true, FUNC_NAME, errmsg);
return (ERROR);
}
/* Initialize the look up tables and atmospheric correction variables
view zenith initialized to 0.0 (xtv)
azimuthal difference between sun and obs angle initialize to 0.0 (xfi)
surface pressure is initialized to the pressure at the center of the
scene (using the DEM) (pres)
water vapor is initialized to the value at the center of the scene (uwv)
ozone is initialized to the value at the center of the scene (uoz) */
retval = init_sr_refl (nlines, nsamps, input, space, anglehdf, intrefnm,
transmnm, spheranm, cmgdemnm, rationm, auxnm, &eps, &iaots, &xtv,
&xmuv, &xfi, &cosxfi, &raot550nm, &pres, &uoz, &uwv, &xtsstep,
&xtsmin, &xtvstep, &xtvmin, tsmax, tsmin, tts, ttv, indts, rolutt,
transt, sphalbt, normext, nbfic, nbfi, dem, andwi, sndwi, ratiob1,
ratiob2, ratiob7, intratiob1, intratiob2, intratiob7, slpratiob1,
slpratiob2, slpratiob7, wv, oz);
if (retval != SUCCESS)
{
sprintf (errmsg, "Error initializing the lookup tables and "
"atmospheric correction variables.");
error_handler (false, FUNC_NAME, errmsg);
return (ERROR);
}
/* Loop through all the reflectance bands and perform atmospheric
corrections based on climatology */
mytime = time(NULL);
printf ("Performing atmospheric corrections for each reflectance "
"band ... %s", ctime(&mytime));
for (ib = 0; ib <= SR_BAND7; ib++)
{
printf (" %d ...", ib+1);
/* Get the parameters for the atmospheric correction */
/* rotoa is not defined for this call, which is ok, but the
roslamb value is not valid upon output. Just set it to 0.0 to
be consistent. */
rotoa = 0.0;
raot550nm = aot550nm[1];
eps = 2.5;
retval = atmcorlamb2 (xts, xtv, xmus, xmuv, xfi, cosxfi,
raot550nm, ib, pres, tpres, aot550nm, rolutt, transt, xtsstep,
xtsmin, xtvstep, xtvmin, sphalbt, normext, tsmax, tsmin, nbfic,
nbfi, tts, indts, ttv, uoz, uwv, tauray, ogtransa1, ogtransb0,
ogtransb1, wvtransa, wvtransb, oztransa, rotoa, &roslamb,
&tgo, &roatm, &ttatmg, &satm, &xrorayp, &next, eps);
if (retval != SUCCESS)
{
sprintf (errmsg, "Performing lambertian atmospheric correction "
"type 2.");
error_handler (true, FUNC_NAME, errmsg);
return (ERROR);
}
/* Save these band-related parameters for later */
btgo[ib] = tgo;
broatm[ib] = roatm;
bttatmg[ib] = ttatmg;
bsatm[ib] = satm;
/* Perform atmospheric corrections for bands 1-7 */
#ifdef _OPENMP
#pragma omp parallel for private (i, j, curr_pix, rotoa, roslamb)
#endif
for (i = 0; i < nlines; i++)
{
curr_pix = i * nsamps;
for (j = 0; j < nsamps; j++, curr_pix++)
{
/* If this pixel is not fill. Otherwise fill pixels have
already been marked in the TOA calculations. */
if (!level1_qa_is_fill (qaband[curr_pix]))
{
/* Store the TOA scaled TOA reflectance values for later
use before completing atmospheric corrections */
if (ib == DN_BAND1)
aerob1[curr_pix] = sband[ib][curr_pix];
else if (ib == DN_BAND2)
aerob2[curr_pix] = sband[ib][curr_pix];
else if (ib == DN_BAND4)
aerob4[curr_pix] = sband[ib][curr_pix];
else if (ib == DN_BAND5)
aerob5[curr_pix] = sband[ib][curr_pix];
else if (ib == DN_BAND7)
aerob7[curr_pix] = sband[ib][curr_pix];
/* Apply the atmospheric corrections (ignoring the Rayleigh
scattering component and water vapor), and store the
scaled value for further corrections. (NOTE: the full
computations are in atmcorlamb2) */
rotoa = sband[ib][curr_pix] * SCALE_FACTOR;
roslamb = rotoa / tgo;
roslamb = roslamb - roatm;
roslamb = roslamb / ttatmg;
roslamb = roslamb / (1.0 + satm * roslamb);
sband[ib][curr_pix] = (int) (roslamb * MULT_FACTOR);
}
} /* end for j */
} /* end for i */
} /* for ib */
printf ("\n");
/* Start the retrieval of atmospheric correction parameters for each band */
mytime = time(NULL);
printf ("Starting retrieval of atmospheric correction parameters ... %s",
ctime(&mytime));
for (ib = 0; ib <= SR_BAND7; ib++)
{
/* Get the parameters for the atmospheric correction */
/* rotoa is not defined for this call, which is ok, but the
roslamb value is not valid upon output. Just set it to 0.0 to
be consistent. */
normext_p0a3_arr[ib] = normext[ib * NPRES_VALS * NAOT_VALS + 0 + 3];
/* normext[ib][0][3]; */
rotoa = 0.0;
eps = 2.5;
for (ia = 0; ia < NAOT_VALS; ia++)
{
raot550nm = aot550nm[ia];
retval = atmcorlamb2 (xts, xtv, xmus, xmuv, xfi, cosxfi, raot550nm,
ib, pres, tpres, aot550nm, rolutt, transt, xtsstep, xtsmin,
xtvstep, xtvmin, sphalbt, normext, tsmax, tsmin, nbfic, nbfi,
tts, indts, ttv, uoz, uwv, tauray, ogtransa1, ogtransb0,
ogtransb1, wvtransa, wvtransb, oztransa, rotoa, &roslamb, &tgo,
&roatm, &ttatmg, &satm, &xrorayp, &next, eps);
if (retval != SUCCESS)
{
sprintf (errmsg, "Performing lambertian atmospheric correction "
"type 2 for band %d.", ib);
error_handler (true, FUNC_NAME, errmsg);
exit (ERROR);
}
/* Store the AOT-related variables for use in the atmospheric
corrections */
roatm_arr[ib][ia] = roatm;
ttatmg_arr[ib][ia] = ttatmg;
satm_arr[ib][ia] = satm;
}
/* Store the band-related variables for use in the atmospheric
corrections. tgo and xrorayp are the same for each AOT, so just
save the last set for this band. */
tgo_arr[ib] = tgo;
xrorayp_arr[ib] = xrorayp;
}
for (ib = 0; ib <= SR_BAND7; ib++)
{
/* Get the polynomial coefficients for roatm */
for (ia = 0; ia < NAOT_VALS; ia++)
arr1[ia] = roatm_arr[ib][ia];
iaMaxTemp = 1;
for (ia = 1; ia < NAOT_VALS; ia++)
{
if (ia == NAOT_VALS-1)
iaMaxTemp = NAOT_VALS-1;
if ((arr1[ia] - arr1[ia-1]) > ESPA_EPSILON)
continue;
else
{
iaMaxTemp = ia-1;
break;
}
}
roatm_iaMax[ib] = iaMaxTemp;
get_3rd_order_poly_coeff (aot550nm, arr1, iaMaxTemp, coef1);
for (ia = 0; ia < NCOEF; ia++)
roatm_coef[ib][ia] = coef1[ia];
/* Get the polynomial coefficients for ttatmg */
for (ia = 0; ia < NAOT_VALS; ia++)
arr1[ia] = ttatmg_arr[ib][ia];
get_3rd_order_poly_coeff (aot550nm, arr1, NAOT_VALS, coef1);
for (ia = 0; ia < NCOEF; ia++)
ttatmg_coef[ib][ia] = coef1[ia];
/* Get the polynomial coefficients for satm */
for (ia = 0; ia < NAOT_VALS; ia++)
arr1[ia] = satm_arr[ib][ia];
get_3rd_order_poly_coeff (aot550nm, arr1, NAOT_VALS, coef1);
for (ia = 0; ia < NCOEF; ia++)
satm_coef[ib][ia] = coef1[ia];
}
#ifdef INTERP_AUX
/* TODO -- if the auxiliary data interpolation is taken out, then these
variables can be removed from the memory initialization as well - tozi,
twvi, tp */
/* Interpolate the auxiliary data for each pixel location */
mytime = time(NULL);
printf ("Interpolating the auxiliary data ... %s", ctime(&mytime));
tmp_percent = 0;
#ifdef _OPENMP
#pragma omp parallel for private (i, j, curr_pix, img, geo, lat, lon, xcmg, ycmg, lcmg, scmg, lcmg1, scmg1, u, v, one_minus_u, one_minus_v, one_minus_u_x_one_minus_v, one_minus_u_x_v, u_x_one_minus_v, u_x_v, cmg_pix11, cmg_pix12, cmg_pix21, cmg_pix22, wv11, wv12, wv21, wv22, uoz11, uoz12, uoz21, uoz22, pres11, pres12, pres21, pres22)
#endif
for (i = 0; i < nlines; i++)
{
#ifndef _OPENMP
/* update status, but not if multi-threaded */
curr_tmp_percent = 100 * i / nlines;
if (curr_tmp_percent > tmp_percent)
{
tmp_percent = curr_tmp_percent;
if (tmp_percent % 10 == 0)
{
printf ("%d%% ", tmp_percent);
fflush (stdout);
}
}
#endif
curr_pix = i * nsamps;
for (j = 0; j < nsamps; j++, curr_pix++)
{
/* If this pixel is fill, do not process */
if (qaband[curr_pix] == 1)
{
ipflag[curr_pix] |= (1 << IPFLAG_FILL);
continue;
}
/* Get the lat/long for the current pixel */
img.l = i - 0.5;
img.s = j + 0.5;
img.is_fill = false;
if (!from_space (space, &img, &geo))
{
sprintf (errmsg, "Mapping line/sample (%d, %d) to "
"geolocation coords", i, j);
error_handler (true, FUNC_NAME, errmsg);
exit (ERROR);
}
lat = geo.lat * RAD2DEG;
lon = geo.lon * RAD2DEG;
/*** Handle all the variables related to the current pixel in the
auxiliary products ***/
/* Use that lat/long to determine the line/sample in the
CMG-related lookup tables, using the center of the UL
pixel. Note, we are basically making sure the line/sample
combination falls within -90, 90 and -180, 180 global climate
data boundaries. However, the source code below uses lcmg+1
and scmg+1, which for some scenes may wrap around the dateline
or the poles. Thus we need to wrap the CMG data around to the
beginning of the array. */
/* Each CMG pixel is 0.05 x 0.05 degrees. Use the center of the
pixel for each calculation. Negative latitude values should be
the largest line values in the CMG grid. Negative longitude
values should be the smallest sample values in the CMG grid. */
/* The line/sample calculation from the x/ycmg values are not
rounded. The interpolation of the value using line+1 and
sample+1 are based on the truncated numbers, therefore rounding
up is not appropriate. */
ycmg = (89.975 - lat) * 20.0; /* vs / 0.05 */
xcmg = (179.975 + lon) * 20.0; /* vs / 0.05 */
lcmg = (int) ycmg;
scmg = (int) xcmg;
/* Handle the edges of the lat/long values in the CMG grid */
if (lcmg < 0)
lcmg = 0;
else if (lcmg >= CMG_NBLAT)
lcmg = CMG_NBLAT;
if (scmg < 0)
scmg = 0;
else if (scmg >= CMG_NBLON)
scmg = CMG_NBLON;
/* If the current CMG pixel is at the edge of the CMG array,
then allow the next pixel for interpolation to wrap around
the array */
if (scmg >= CMG_NBLON-1) /* 180 degrees so wrap around */
scmg1 = 0;
else
scmg1 = scmg + 1;
if (lcmg >= CMG_NBLAT-1) /* -90 degrees so wrap around */
lcmg1 = 0;
else
lcmg1 = lcmg + 1;
/* Determine the four CMG pixels to be used for the current
Landsat pixel */
cmg_pix11 = lcmg * CMG_NBLON + scmg;
cmg_pix12 = lcmg * CMG_NBLON + scmg1;
cmg_pix21 = lcmg1 * CMG_NBLON + scmg;
cmg_pix22 = lcmg1 * CMG_NBLON + scmg1;
/* Get the water vapor pixels. If the water vapor value is
fill (=0), then use it as-is. */
wv11 = wv[cmg_pix11];
wv12 = wv[cmg_pix12];
wv21 = wv[cmg_pix21];
wv22 = wv[cmg_pix22];
/* Get the ozone pixels. If the ozone value is fill (=0), then use
a default value of 120. */
uoz11 = oz[cmg_pix11];
if (uoz11 == 0)
uoz11 = 120;
uoz12 = oz[cmg_pix12];
if (uoz12 == 0)
uoz12 = 120;
uoz21 = oz[cmg_pix21];
if (uoz21 == 0)
uoz21 = 120;
uoz22 = oz[cmg_pix22];
if (uoz22 == 0)
uoz22 = 120;
/* Get the surface pressure from the global DEM. Set to 1013.0
(sea level) if the DEM is fill (= -9999), which is likely ocean.
The dimensions on the DEM array is the same as that of the CMG
arrays. Use the current pixel locations already calculated. */
if (dem[cmg_pix11] != -9999)
pres11 = 1013.0 * exp (-dem[cmg_pix11] * ONE_DIV_8500);
else
pres11 = 1013.0;
if (dem[cmg_pix12] != -9999)
pres12 = 1013.0 * exp (-dem[cmg_pix12] * ONE_DIV_8500);
else
pres12 = 1013.0;
if (dem[cmg_pix21] != -9999)
pres21 = 1013.0 * exp (-dem[cmg_pix21] * ONE_DIV_8500);
else
pres21 = 1013.0;
if (dem[cmg_pix22] != -9999)
pres22 = 1013.0 * exp (-dem[cmg_pix22] * ONE_DIV_8500);
else
pres22 = 1013.0;
/*** Handle all the variables related to the current pixel in the
Landsat scene, which means interpolating the global-level
variables ***/
/* Determine the fractional difference between the integer location
and floating point pixel location to be used for interpolation */
u = (ycmg - lcmg);
v = (xcmg - scmg);
one_minus_u = 1.0 - u;
one_minus_v = 1.0 - v;
one_minus_u_x_one_minus_v = one_minus_u * one_minus_v;
one_minus_u_x_v = one_minus_u * v;
u_x_one_minus_v = u * one_minus_v;
u_x_v = u * v;
/* Interpolate water vapor, and unscale */
twvi[curr_pix] = wv11 * one_minus_u_x_one_minus_v +
wv12 * one_minus_u_x_v +
wv21 * u_x_one_minus_v +
wv22 * u_x_v;
twvi[curr_pix] = twvi[curr_pix] * 0.01; /* vs / 100 */
/* Interpolate ozone, and unscale */
tozi[curr_pix] = uoz11 * one_minus_u_x_one_minus_v +
uoz12 * one_minus_u_x_v +
uoz21 * u_x_one_minus_v +
uoz22 * u_x_v;
tozi[curr_pix] = tozi[curr_pix] * 0.0025; /* vs / 400 */
/* Interpolate surface pressure */
tp[curr_pix] = pres11 * one_minus_u_x_one_minus_v +
pres12 * one_minus_u_x_v +
pres21 * u_x_one_minus_v +
pres22 * u_x_v;
} /* end for j */
} /* end for i */
#ifndef _OPENMP
/* update status */
printf ("100%%\n");
fflush (stdout);
#endif
#endif
/* Start the aerosol inversion */
mytime = time(NULL);
printf ("Aerosol Inversion using %d x %d aerosol window ... %s",
AERO_WINDOW, AERO_WINDOW, ctime(&mytime));
tmp_percent = 0;
#ifdef _OPENMP
#pragma omp parallel for private (i, j, center_line, center_samp, nearest_line, nearest_samp, curr_pix, center_pix, img, geo, lat, lon, xcmg, ycmg, lcmg, scmg, lcmg1, scmg1, u, v, one_minus_u, one_minus_v, one_minus_u_x_one_minus_v, one_minus_u_x_v, u_x_one_minus_v, u_x_v, ratio_pix11, ratio_pix12, ratio_pix21, ratio_pix22, rb1, rb2, slpr11, slpr12, slpr21, slpr22, intr11, intr12, intr21, intr22, slprb1, slprb2, slprb7, intrb1, intrb2, intrb7, xndwi, ndwi_th1, ndwi_th2, iband, iband1, iband3, iaots, retval, eps, eps1, eps2, eps3, residual, residual1, residual2, residual3, raot, sraot1, sraot2, sraot3, xa, xb, xc, xd, xe, xf, coefa, coefb, epsmin, corf, next, rotoa, raot550nm, roslamb, tgo, roatm, ttatmg, satm, xrorayp, ros5, ros4, erelc, troatm)
#endif
for (i = HALF_AERO_WINDOW; i < nlines; i += AERO_WINDOW)
{
#ifndef _OPENMP
/* update status, but not if multi-threaded */
curr_tmp_percent = 100 * i / nlines;
if (curr_tmp_percent > tmp_percent)
{
tmp_percent = curr_tmp_percent;
if (tmp_percent % 10 == 0)
{
printf ("%d%% ", tmp_percent);
fflush (stdout);
}
}
#endif
curr_pix = i * nsamps + HALF_AERO_WINDOW;
for (j = HALF_AERO_WINDOW; j < nsamps;
j += AERO_WINDOW, curr_pix += AERO_WINDOW)
{
/* Keep track of the center pixel for the current aerosol window;
may need to return here if this is fill, cloudy or water */
center_line = i;
center_samp = j;
center_pix = curr_pix;
/* If this pixel is fill */
if (level1_qa_is_fill (qaband[curr_pix]))
{
/* Look for other non-fill pixels in the window */
if (find_closest_non_fill (qaband, nlines, nsamps, center_line,
center_samp, &nearest_line, &nearest_samp))
{
/* Use the line/sample location of the non-fill pixel for
further processing of aerosols. However we will still
write to the center of the aerosol window for the
current window. */
i = nearest_line;
j = nearest_samp;
curr_pix = i * nsamps + j;
}
else
{
/* No other non-fill pixels found. Pixel is already
flagged as fill. Move to next aerosol window. */
continue;
}
}
/* If this non-fill pixel is water, then look for a pixel which is
not water. If none are found then the whole window is fill or
water. Flag this pixel as water. */
if (is_water (sband[SR_BAND4][curr_pix],
sband[SR_BAND5][curr_pix]))
{
/* Look for other non-fill/non-water pixels in the window.
Start with the center of the window and search outward. */
if (find_closest_non_water (qaband, sband, nlines, nsamps,
center_line, center_samp, &nearest_line, &nearest_samp))
{
/* Use the line/sample location of the non-fill/non-water
pixel for further processing */
i = nearest_line;
j = nearest_samp;
curr_pix = i * nsamps + j;
}
else
{
/* Assign generic values for the water pixel */
ipflag[center_pix] = (1 << IPFLAG_WATER);
taero[center_pix] = DEFAULT_AERO;
teps[center_pix] = DEFAULT_EPS;
/* Reset the looping variables to the center of the aerosol
window versus the actual non-fill pixel that was
processed so that we get the correct center for the next
aerosol window */
i = center_line;
j = center_samp;
curr_pix = center_pix;
/* Next window */
continue;
}
}
/* If this non-fill/non-water pixel is cloud or shadow, then look
for a pixel which is not cloudy, shadow, water, or fill. If
none are found, then just use this pixel. */
if (is_cloud_or_shadow (qaband[curr_pix]))
{
/* Look for other non-fill/non-water/non-cloud/non-shadow
pixels in the window. Start with the center of the window
and search outward. */
if (find_closest_non_cloud_shadow_water (qaband, sband, nlines,
nsamps, center_line, center_samp, &nearest_line,
&nearest_samp))
{
/* Use the line/sample location of the non-fill/non-cloud
pixel for further processing */
i = nearest_line;
j = nearest_samp;
curr_pix = i * nsamps + j;
}
}
/* If the pixel selected is a cloud or shadow, then don't mess
with aerosol interpolation. Just assign generic aerosol
values. */
if (is_cloud_or_shadow (qaband[curr_pix]))
{
/* Assign generic values for the cloud pixel */
if (is_cloud (qaband[curr_pix]))
ipflag[center_pix] = (1 << IPFLAG_CLOUD);
else if (is_shadow (qaband[curr_pix]))
ipflag[center_pix] = (1 << IPFLAG_SHADOW);
taero[center_pix] = DEFAULT_AERO;
teps[center_pix] = DEFAULT_EPS;
/* Reset the looping variables to the center of the aerosol
window versus the actual non-fill/non-cloud pixel that
was processed so that we get the correct center for the
next aerosol window */
i = center_line;
j = center_samp;
curr_pix = center_pix;
/* Next window */
continue;
}
/* Get the lat/long for the current pixel (which may not be the
center of the aerosol window), for the center of that pixel */
img.l = i - 0.5;
img.s = j + 0.5;
img.is_fill = false;
if (!from_space (space, &img, &geo))
{
sprintf (errmsg, "Mapping line/sample (%d, %d) to "
"geolocation coords", i, j);
error_handler (true, FUNC_NAME, errmsg);
exit (ERROR);
}
lat = geo.lat * RAD2DEG;
lon = geo.lon * RAD2DEG;
/* Use that lat/long to determine the line/sample in the
CMG-related lookup tables, using the center of the UL
pixel. Note, we are basically making sure the line/sample
combination falls within -90, 90 and -180, 180 global climate
data boundaries. However, the source code below uses lcmg+1
and scmg+1, which for some scenes may wrap around the
dateline or the poles. Thus we need to wrap the CMG data
around to the beginning of the array. */
/* Each CMG pixel is 0.05 x 0.05 degrees. Use the center of the
pixel for each calculation. Negative latitude values should
be the largest line values in the CMG grid. Negative
longitude values should be the smallest sample values in the
CMG grid. */
/* The line/sample calculation from the x/ycmg values are not
rounded. The interpolation of the value using line+1 and
sample+1 are based on the truncated numbers, therefore
rounding up is not appropriate. */
ycmg = (89.975 - lat) * 20.0; /* vs / 0.05 */
xcmg = (179.975 + lon) * 20.0; /* vs / 0.05 */
lcmg = (int) ycmg;
scmg = (int) xcmg;
/* Handle the edges of the lat/long values in the CMG grid */
if (lcmg < 0)
lcmg = 0;
else if (lcmg >= CMG_NBLAT)
lcmg = CMG_NBLAT;
if (scmg < 0)
scmg = 0;
else if (scmg >= CMG_NBLON)
scmg = CMG_NBLON;
/* If the current CMG pixel is at the edge of the CMG array, then
allow the next pixel for interpolation to wrap around the
array */
if (scmg >= CMG_NBLON-1) /* 180 degrees so wrap around */
scmg1 = 0;
else
scmg1 = scmg + 1;
if (lcmg >= CMG_NBLAT-1) /* -90 degrees so wrap around */
lcmg1 = 0;
else
lcmg1 = lcmg + 1;
/* Determine the fractional difference between the integer location
and floating point pixel location to be used for interpolation */
u = (ycmg - lcmg);
v = (xcmg - scmg);
one_minus_u = 1.0 - u;
one_minus_v = 1.0 - v;
one_minus_u_x_one_minus_v = one_minus_u * one_minus_v;
one_minus_u_x_v = one_minus_u * v;
u_x_one_minus_v = u * one_minus_v;
u_x_v = u * v;
/* Determine the band ratios and slope/intercept */
ratio_pix11 = lcmg * RATIO_NBLON + scmg;
ratio_pix12 = ratio_pix11 + 1;
ratio_pix21 = lcmg1 * RATIO_NBLON + scmg;
ratio_pix22 = ratio_pix21 + 1;
rb1 = ratiob1[ratio_pix11] * 0.001; /* vs. / 1000. */
rb2 = ratiob2[ratio_pix11] * 0.001; /* vs. / 1000. */
if (rb2 > 1.0 || rb1 > 1.0 || rb2 < 0.1 || rb1 < 0.1)
{
slpratiob1[ratio_pix11] = 0;
slpratiob2[ratio_pix11] = 0;
slpratiob7[ratio_pix11] = 0;
intratiob1[ratio_pix11] = 550;
intratiob2[ratio_pix11] = 600;
intratiob7[ratio_pix11] = 2000;
}
else if (sndwi[ratio_pix11] < 200)
{
slpratiob1[ratio_pix11] = 0;
slpratiob2[ratio_pix11] = 0;
slpratiob7[ratio_pix11] = 0;
intratiob1[ratio_pix11] = ratiob1[ratio_pix11];
intratiob2[ratio_pix11] = ratiob2[ratio_pix11];
intratiob7[ratio_pix11] = ratiob7[ratio_pix11];
}
rb1 = ratiob1[ratio_pix12] * 0.001; /* vs. / 1000. */
rb2 = ratiob2[ratio_pix12] * 0.001; /* vs. / 1000. */
if (rb2 > 1.0 || rb1 > 1.0 || rb2 < 0.1 || rb1 < 0.1)
{
slpratiob1[ratio_pix12] = 0;
slpratiob2[ratio_pix12] = 0;
slpratiob7[ratio_pix12] = 0;
intratiob1[ratio_pix12] = 550;
intratiob2[ratio_pix12] = 600;
intratiob7[ratio_pix12] = 2000;
}
else if (sndwi[ratio_pix12] < 200)
{
slpratiob1[ratio_pix12] = 0;
slpratiob2[ratio_pix12] = 0;
slpratiob7[ratio_pix12] = 0;
intratiob1[ratio_pix12] = ratiob1[ratio_pix12];
intratiob2[ratio_pix12] = ratiob2[ratio_pix12];
intratiob7[ratio_pix12] = ratiob7[ratio_pix12];
}
rb1 = ratiob1[ratio_pix21] * 0.001; /* vs. / 1000. */
rb2 = ratiob2[ratio_pix21] * 0.001; /* vs. / 1000. */
if (rb2 > 1.0 || rb1 > 1.0 || rb2 < 0.1 || rb1 < 0.1)
{
slpratiob1[ratio_pix21] = 0;
slpratiob2[ratio_pix21] = 0;
slpratiob7[ratio_pix21] = 0;
intratiob1[ratio_pix21] = 550;
intratiob2[ratio_pix21] = 600;
intratiob7[ratio_pix21] = 2000;
}
else if (sndwi[ratio_pix21] < 200)
{
slpratiob1[ratio_pix21] = 0;
slpratiob2[ratio_pix21] = 0;
slpratiob7[ratio_pix21] = 0;
intratiob1[ratio_pix21] = ratiob1[ratio_pix21];
intratiob2[ratio_pix21] = ratiob2[ratio_pix21];
intratiob7[ratio_pix21] = ratiob7[ratio_pix21];
}
rb1 = ratiob1[ratio_pix22] * 0.001; /* vs. / 1000. */
rb2 = ratiob2[ratio_pix22] * 0.001; /* vs. / 1000. */
if (rb2 > 1.0 || rb1 > 1.0 || rb2 < 0.1 || rb1 < 0.1)
{
slpratiob1[ratio_pix22] = 0;
slpratiob2[ratio_pix22] = 0;
slpratiob7[ratio_pix22] = 0;
intratiob1[ratio_pix22] = 550;
intratiob2[ratio_pix22] = 600;
intratiob7[ratio_pix22] = 2000;
}
else if (sndwi[ratio_pix22] < 200)
{
slpratiob1[ratio_pix22] = 0;
slpratiob2[ratio_pix22] = 0;
slpratiob7[ratio_pix22] = 0;
intratiob1[ratio_pix22] = ratiob1[ratio_pix22];
intratiob2[ratio_pix22] = ratiob2[ratio_pix22];
intratiob7[ratio_pix22] = ratiob7[ratio_pix22];
}
/* Compute the NDWI variables */
ndwi_th1 = (andwi[ratio_pix11] + 2.0 *
sndwi[ratio_pix11]) * 0.001;
ndwi_th2 = (andwi[ratio_pix11] - 2.0 *
sndwi[ratio_pix11]) * 0.001;
/* Interpolate the slope/intercept for each band, and unscale */
slpr11 = slpratiob1[ratio_pix11] * 0.001; /* vs / 1000 */
intr11 = intratiob1[ratio_pix11] * 0.001; /* vs / 1000 */
slpr12 = slpratiob1[ratio_pix12] * 0.001; /* vs / 1000 */
intr12 = intratiob1[ratio_pix12] * 0.001; /* vs / 1000 */
slpr21 = slpratiob1[ratio_pix21] * 0.001; /* vs / 1000 */
intr21 = intratiob1[ratio_pix21] * 0.001; /* vs / 1000 */
slpr22 = slpratiob1[ratio_pix22] * 0.001; /* vs / 1000 */
intr22 = intratiob1[ratio_pix22] * 0.001; /* vs / 1000 */
slprb1 = slpr11 * one_minus_u_x_one_minus_v +
slpr12 * one_minus_u_x_v +
slpr21 * u_x_one_minus_v +
slpr22 * u_x_v;
intrb1 = intr11 * one_minus_u_x_one_minus_v +
intr12 * one_minus_u_x_v +
intr21 * u_x_one_minus_v +
intr22 * u_x_v;
slpr11 = slpratiob2[ratio_pix11] * 0.001; /* vs / 1000 */
intr11 = intratiob2[ratio_pix11] * 0.001; /* vs / 1000 */
slpr12 = slpratiob2[ratio_pix12] * 0.001; /* vs / 1000 */
intr12 = intratiob2[ratio_pix12] * 0.001; /* vs / 1000 */
slpr21 = slpratiob2[ratio_pix21] * 0.001; /* vs / 1000 */
intr21 = intratiob2[ratio_pix21] * 0.001; /* vs / 1000 */
slpr22 = slpratiob2[ratio_pix22] * 0.001; /* vs / 1000 */
intr22 = intratiob2[ratio_pix22] * 0.001; /* vs / 1000 */
slprb2 = slpr11 * one_minus_u_x_one_minus_v +
slpr12 * one_minus_u_x_v +
slpr21 * u_x_one_minus_v +
slpr22 * u_x_v;
intrb2 = intr11 * one_minus_u_x_one_minus_v +
intr12 * one_minus_u_x_v +
intr21 * u_x_one_minus_v +
intr22 * u_x_v;
slpr11 = slpratiob7[ratio_pix11] * 0.001; /* vs / 1000 */
intr11 = intratiob7[ratio_pix11] * 0.001; /* vs / 1000 */
slpr12 = slpratiob7[ratio_pix12] * 0.001; /* vs / 1000 */
intr12 = intratiob7[ratio_pix12] * 0.001; /* vs / 1000 */
slpr21 = slpratiob7[ratio_pix21] * 0.001; /* vs / 1000 */
intr21 = intratiob7[ratio_pix21] * 0.001; /* vs / 1000 */
slpr22 = slpratiob7[ratio_pix22] * 0.001; /* vs / 1000 */
intr22 = intratiob7[ratio_pix22] * 0.001; /* vs / 1000 */
slprb7 = slpr11 * one_minus_u_x_one_minus_v +
slpr12 * one_minus_u_x_v +
slpr21 * u_x_one_minus_v +
slpr22 * u_x_v;
intrb7 = intr11 * one_minus_u_x_one_minus_v +
intr12 * one_minus_u_x_v +
intr21 * u_x_one_minus_v +
intr22 * u_x_v;
/* Calculate NDWI variables for the band ratios */
xndwi = ((double) sband[SR_BAND5][curr_pix] -
(double) (sband[SR_BAND7][curr_pix] * 0.5)) /
((double) sband[SR_BAND5][curr_pix] +
(double) (sband[SR_BAND7][curr_pix] * 0.5));
if (xndwi > ndwi_th1)
xndwi = ndwi_th1;
if (xndwi < ndwi_th2)
xndwi = ndwi_th2;
/* Initialize the band ratios */
for (ib = 0; ib < NSR_BANDS; ib++)
{
erelc[ib] = -1.0;
troatm[ib] = 0.0;
}
/* Compute the band ratio */
erelc[DN_BAND1] = (xndwi * slprb1 + intrb1);
erelc[DN_BAND2] = (xndwi * slprb2 + intrb2);
erelc[DN_BAND4] = 1.0;
erelc[DN_BAND7] = (xndwi * slprb7 + intrb7);
/* Retrieve the TOA reflectance values for the current pixel */
troatm[DN_BAND1] = aerob1[curr_pix] * SCALE_FACTOR;
troatm[DN_BAND2] = aerob2[curr_pix] * SCALE_FACTOR;
troatm[DN_BAND4] = aerob4[curr_pix] * SCALE_FACTOR;
troatm[DN_BAND7] = aerob7[curr_pix] * SCALE_FACTOR;
/* Retrieve the aerosol information for eps 1.0 */
iband1 = DN_BAND4;
iband3 = DN_BAND1;
eps = 1.0;
iaots = 0;
subaeroret_new (iband1, iband3, erelc, troatm, tgo_arr,
xrorayp_arr, roatm_iaMax, roatm_coef, ttatmg_coef, satm_coef,
normext_p0a3_arr, &raot, &residual, &iaots, eps);
/* Save the data */
eps1 = eps;
residual1 = residual;
sraot1 = raot;
/* Retrieve the aerosol information for eps 1.75 */
eps = 1.75;
subaeroret_new (iband1, iband3, erelc, troatm, tgo_arr,
xrorayp_arr, roatm_iaMax, roatm_coef, ttatmg_coef, satm_coef,
normext_p0a3_arr, &raot, &residual, &iaots, eps);
/* Save the data */
eps2 = eps;
residual2 = residual;
sraot2 = raot;
/* Retrieve the aerosol information for eps 2.5 */
eps = 2.5;
subaeroret_new (iband1, iband3, erelc, troatm, tgo_arr,
xrorayp_arr, roatm_iaMax, roatm_coef, ttatmg_coef, satm_coef,
normext_p0a3_arr, &raot, &residual, &iaots, eps);
/* Save the data */
eps3 = eps;
residual3 = residual;
sraot3 = raot;
/* Find the eps that minimizes the residual */
xa = (eps1 * eps1) - (eps3 * eps3);
xd = (eps2 * eps2) - (eps3 * eps3);
xb = eps1 - eps3;
xe = eps2 - eps3;
xc = residual1 - residual3;
xf = residual2 - residual3;
coefa = (xc*xe - xb*xf) / (xa*xe - xb*xd);
coefb = (xa*xf - xc*xd) / (xa*xe - xb*xd);
epsmin = -coefb / (2.0 * coefa);
eps = epsmin;
if (epsmin >= 1.0 && epsmin <= 2.5)
{
subaeroret_new (iband1, iband3, erelc, troatm, tgo_arr,
xrorayp_arr, roatm_iaMax, roatm_coef, ttatmg_coef,
satm_coef, normext_p0a3_arr, &raot, &residual, &iaots, eps);
}
else
{
if (epsmin <= 1.0)
{
eps = eps1;
residual = residual1;
raot = sraot1;
}
else if (epsmin >= 2.5)
{
eps = eps3;
residual = residual3;
raot = sraot3;
}
}
teps[center_pix] = eps;
taero[center_pix] = raot;
corf = raot / xmus;
/* Check the model residual. Corf represents aerosol impact.
Test the quality of the aerosol inversion. */
if (residual < (0.015 + 0.005 * corf + 0.10 * troatm[DN_BAND7]))
{
/* Test if band 5 makes sense */
iband = DN_BAND5;
rotoa = aerob5[curr_pix] * SCALE_FACTOR;
raot550nm = raot;
atmcorlamb2_new (tgo_arr[iband], xrorayp_arr[iband],
aot550nm[roatm_iaMax[iband]], &roatm_coef[iband][0],
&ttatmg_coef[iband][0], &satm_coef[iband][0], raot550nm,
iband, normext_p0a3_arr[iband], rotoa, &roslamb, eps);
ros5 = roslamb;
/* Test if band 4 makes sense */
iband = DN_BAND4;
rotoa = aerob4[curr_pix] * SCALE_FACTOR;
raot550nm = raot;
atmcorlamb2_new (tgo_arr[iband], xrorayp_arr[iband],
aot550nm[roatm_iaMax[iband]], &roatm_coef[iband][0],
&ttatmg_coef[iband][0], &satm_coef[iband][0], raot550nm,
iband, normext_p0a3_arr[iband], rotoa, &roslamb, eps);
ros4 = roslamb;
/* Use the NDVI to validate the reflectance values */
if ((ros5 > 0.1) && ((ros5 - ros4) / (ros5 + ros4) > 0))
{
/* Clear pixel with valid aerosol retrieval */
taero[center_pix] = raot;
ipflag[center_pix] |= (1 << IPFLAG_CLEAR);
}
else
{
/* Flag as water and use generic values */
ipflag[center_pix] |= (1 << IPFLAG_WATER);
taero[center_pix] = DEFAULT_AERO;
teps[center_pix] = DEFAULT_EPS;
}
}
else
{
/* Flag as water and use generic values */
ipflag[center_pix] |= (1 << IPFLAG_WATER);
taero[center_pix] = DEFAULT_AERO;
teps[center_pix] = DEFAULT_EPS;
}
/* Reset the looping variables to the center of the aerosol window
versus the actual non-fill/non-cloud pixel that was processed
so that we get the correct center for the next aerosol window */
i = center_line;
j = center_samp;
curr_pix = center_pix;
} /* end for j */
} /* end for i */
#ifndef _OPENMP
/* update status */
printf ("100%%\n");
fflush (stdout);
#endif
/* Done with the aerob* arrays */
free (aerob1); aerob1 = NULL;
free (aerob2); aerob2 = NULL;
free (aerob4); aerob4 = NULL;
free (aerob5); aerob5 = NULL;
free (aerob7); aerob7 = NULL;
/* Done with the ratiob* arrays */
free (andwi); andwi = NULL;
free (sndwi); sndwi = NULL;
free (ratiob1); ratiob1 = NULL;
free (ratiob2); ratiob2 = NULL;
free (ratiob7); ratiob7 = NULL;
free (intratiob1); intratiob1 = NULL;
free (intratiob2); intratiob2 = NULL;
free (intratiob7); intratiob7 = NULL;
free (slpratiob1); slpratiob1 = NULL;
free (slpratiob2); slpratiob2 = NULL;
free (slpratiob7); slpratiob7 = NULL;
/* Done with the DEM, water vapor, and ozone arrays */
free (dem); dem = NULL;
free (wv); wv = NULL;
free (oz); oz = NULL;
#ifdef WRITE_TAERO
/* Write the ipflag values for comparison with other algorithms */
aero_fptr = fopen ("ipflag.img", "w");
fwrite (ipflag, nlines*nsamps, sizeof (uint8), aero_fptr);
fclose (aero_fptr);
/* Write the aerosol values for comparison with other algorithms */
aero_fptr = fopen ("aerosols.img", "w");
fwrite (taero, nlines*nsamps, sizeof (float), aero_fptr);
fclose (aero_fptr);
#endif
/* Find the median of the clear aerosols */
mytime = time(NULL);
printf ("Computing median of clear pixels in NxN windows %s",
ctime(&mytime));
median_aerosol = find_median_aerosol (ipflag, taero, nlines, nsamps);
if (median_aerosol == 0.0)
{ /* error message already printed */
error_handler (true, FUNC_NAME, errmsg);
return (ERROR);
}
printf ("Median aerosol value for clear aerosols is %f\n", median_aerosol);
/* Fill the cloud, shadow, and water pixels with the median aerosol
value instead of the default aerosol value */
mytime = time(NULL);
printf ("Fill non-clear aerosol values in NxN windows with the median %s",
ctime(&mytime));
aerosol_fill_median (ipflag, taero, median_aerosol, nlines, nsamps);
#ifdef WRITE_TAERO
/* Write the ipflag values for comparison with other algorithms */
aero_fptr = fopen ("ipflag2.img", "w");
fwrite (ipflag, nlines*nsamps, sizeof (uint8), aero_fptr);
fclose (aero_fptr);
/* Write the aerosol values for comparison with other algorithms */
aero_fptr = fopen ("aerosols2.img", "w");
fwrite (taero, nlines*nsamps, sizeof (float), aero_fptr);
fclose (aero_fptr);
#endif
/* Use the center of the aerosol windows to interpolate the remaining
pixels in the window */
mytime = time(NULL);
printf ("Interpolating the aerosol values in the NxN windows %s",
ctime(&mytime));
aerosol_interp (xml_metadata, sband, qaband, ipflag, taero, median_aerosol,
nlines, nsamps);
#ifdef WRITE_TAERO
/* Write the ipflag values for comparison with other algorithms */
aero_fptr = fopen ("ipflag3.img", "w");
fwrite (ipflag, nlines*nsamps, sizeof (uint8), aero_fptr);
fclose (aero_fptr);
/* Write the aerosol values for comparison with other algorithms */
aero_fptr = fopen ("aerosols3.img", "w");
fwrite (taero, nlines*nsamps, sizeof (float), aero_fptr);
fclose (aero_fptr);
#endif
/* Use the center of the aerosol windows to interpolate the teps values
(angstrom coefficient). The median value used for filling in clouds and
water will be the default eps value. */
mytime = time(NULL);
printf ("Interpolating the teps values in the NxN windows %s",
ctime(&mytime));
aerosol_interp (xml_metadata, sband, qaband, ipflag, teps, DEFAULT_EPS,
nlines, nsamps);
/* Perform the second level of atmospheric correction using the aerosols */
mytime = time(NULL);
printf ("Performing atmospheric correction ... %s", ctime(&mytime));
/* 0 .. DN_BAND7 is the same as 0 .. SR_BAND7 here, since the pan band
isn't spanned */
for (ib = 0; ib <= DN_BAND7; ib++)
{
printf (" Band %d\n", ib+1);
#ifdef _OPENMP
#pragma omp parallel for private (i, j, curr_pix, rsurf, rotoa, raot550nm, eps, retval, tmpf, roslamb, tgo, roatm, ttatmg, satm, xrorayp, next)
#endif
for (i = 0; i < nlines; i++)
{
curr_pix = i * nsamps;
for (j = 0; j < nsamps; j++, curr_pix++)
{
/* If this pixel is fill, then don't process */
if (level1_qa_is_fill (qaband[curr_pix]))
continue;
/* If this pixel is cloud, then don't process. taero values
are generic values anyhow, but TOA values will be returned
for clouds (not shadows). */
if (is_cloud (qaband[curr_pix]))
continue;
/* Correct all pixels */
rsurf = sband[ib][curr_pix] * SCALE_FACTOR;
rotoa = (rsurf * bttatmg[ib] / (1.0 - bsatm[ib] * rsurf) +
broatm[ib]) * btgo[ib];
raot550nm = taero[curr_pix];
eps = teps[curr_pix];
atmcorlamb2_new (tgo_arr[ib], xrorayp_arr[ib],
aot550nm[roatm_iaMax[ib]], &roatm_coef[ib][0],
&ttatmg_coef[ib][0], &satm_coef[ib][0], raot550nm, ib,
normext_p0a3_arr[ib], rotoa, &roslamb, eps);
/* If this is the coastal aerosol band then set the aerosol
bits in the QA band */
if (ib == DN_BAND1)
{
/* Set up aerosol QA bits */
tmpf = fabs (rsurf - roslamb);
if (tmpf <= 0.015)
{ /* Set the first aerosol bit (low aerosols) */
ipflag[curr_pix] |= (1 << AERO1_QA);
}
else
{
if (tmpf < 0.03)
{ /* Set the second aerosol bit (average aerosols) */
ipflag[curr_pix] |= (1 << AERO2_QA);
}
else
{ /* Set both aerosol bits (high aerosols) */
ipflag[curr_pix] |= (1 << AERO1_QA);
ipflag[curr_pix] |= (1 << AERO2_QA);
}
}
} /* end if this is the coastal aerosol band */
/* Save the scaled surface reflectance value, but make sure it
falls within the defined valid range. */
roslamb = roslamb * MULT_FACTOR; /* scale the value */
if (roslamb < MIN_VALID)
sband[ib][curr_pix] = MIN_VALID;
else if (roslamb > MAX_VALID)
sband[ib][curr_pix] = MAX_VALID;
else
sband[ib][curr_pix] = (int) (roundf (roslamb));
} /* end for j */
} /* end for i */
} /* end for ib */
/* Free memory for arrays no longer needed */
free (twvi);
free (tozi);
free (tp);
free (taero);
free (teps);
/* Write the data to the output file */
mytime = time(NULL);
printf ("Writing surface reflectance corrected data to the output "
"files ... %s", ctime(&mytime));
/* Open the output file */
sr_output = open_output (xml_metadata, input, OUTPUT_SR);
if (sr_output == NULL)
{ /* error message already printed */
error_handler (true, FUNC_NAME, errmsg);
return (ERROR);
}
/* Loop through the reflectance bands and write the data */
for (ib = 0; ib <= DN_BAND7; ib++)
{
printf (" Band %d: %s\n", ib+1,
sr_output->metadata.band[ib].file_name);
if (put_output_lines (sr_output, sband[ib], ib, 0, nlines,
sizeof (int16)) != SUCCESS)
{
sprintf (errmsg, "Writing output data for band %d", ib);
error_handler (true, FUNC_NAME, errmsg);
return (ERROR);
}
/* Create the ENVI header file this band */
if (create_envi_struct (&sr_output->metadata.band[ib],
&xml_metadata->global, &envi_hdr) != SUCCESS)
{
sprintf (errmsg, "Creating ENVI header structure.");
error_handler (true, FUNC_NAME, errmsg);
return (ERROR);
}
/* Write the ENVI header */
strcpy (envi_file, sr_output->metadata.band[ib].file_name);
cptr = strchr (envi_file, '.');
strcpy (cptr, ".hdr");
if (write_envi_hdr (envi_file, &envi_hdr) != SUCCESS)
{
sprintf (errmsg, "Writing ENVI header file.");
error_handler (true, FUNC_NAME, errmsg);
return (ERROR);
}
}
/* Append the surface reflectance bands (1-7) to the XML file */
if (append_metadata (7, sr_output->metadata.band, xml_infile) !=
SUCCESS)
{
sprintf (errmsg, "Appending surface reflectance bands to the "
"XML file.");
error_handler (true, FUNC_NAME, errmsg);
return (ERROR);
}
/* Write the aerosol QA band */
printf (" Band %d: %s\n", SR_AEROSOL+1,
sr_output->metadata.band[SR_AEROSOL].file_name);
if (put_output_lines (sr_output, ipflag, SR_AEROSOL, 0, nlines,
sizeof (uint8)) != SUCCESS)
{
sprintf (errmsg, "Writing aerosol QA output data");
error_handler (true, FUNC_NAME, errmsg);
return (ERROR);
}
/* Free memory for ipflag data */
free (ipflag);
/* Create the ENVI header for the aerosol QA band */
if (create_envi_struct (&sr_output->metadata.band[SR_AEROSOL],
&xml_metadata->global, &envi_hdr) != SUCCESS)
{
sprintf (errmsg, "Creating ENVI header structure.");
error_handler (true, FUNC_NAME, errmsg);
return (ERROR);
}
/* Write the ENVI header */
strcpy (envi_file, sr_output->metadata.band[SR_AEROSOL].file_name);
cptr = strchr (envi_file, '.');
strcpy (cptr, ".hdr");
if (write_envi_hdr (envi_file, &envi_hdr) != SUCCESS)
{
sprintf (errmsg, "Writing ENVI header file.");
error_handler (true, FUNC_NAME, errmsg);
return (ERROR);
}
/* Append the aerosol QA band to the XML file */
if (append_metadata (1, &sr_output->metadata.band[SR_AEROSOL],
xml_infile) != SUCCESS)
{
sprintf (errmsg, "Appending aerosol QA band to XML file.");
error_handler (true, FUNC_NAME, errmsg);
return (ERROR);
}
/* Close the output surface reflectance products */
close_output (sr_output, OUTPUT_SR);
free_output (sr_output, OUTPUT_SR);
/* Free the spatial mapping pointer */
free (space);
/* Free the data arrays */
free (rolutt);
free (transt);
free (sphalbt);
free (normext);
free (tsmax);
free (tsmin);
free (nbfic);
free (nbfi);
free (ttv);
/* Successful completion */
mytime = time(NULL);
printf ("Surface reflectance correction complete ... %s\n", ctime(&mytime));
return (SUCCESS);
}
/******************************************************************************
MODULE: init_sr_refl
PURPOSE: Initialization for the atmospheric corrections. Initialization for
look up tables, auxiliary data, mapping, and geolocation information is used
for the surface reflectance correction.
RETURN VALUE:
Type = int
Value Description
----- -----------
ERROR Error initializing the atmospheric parameters
SUCCESS No errors encountered
PROJECT: Land Satellites Data System Science Research and Development (LSRD)
at the USGS EROS
NOTES:
1. The view angle is set to 0.0 and this never changes.
2. The DEM is used to calculate the surface pressure.
******************************************************************************/
int init_sr_refl
(
int nlines, /* I: number of lines in reflectance, thermal bands */
int nsamps, /* I: number of samps in reflectance, thermal bands */
Input_t *input, /* I: input structure for the Landsat product */
Geoloc_t *space, /* I: structure for geolocation information */
char *anglehdf, /* I: angle HDF filename */
char *intrefnm, /* I: intrinsic reflectance filename */
char *transmnm, /* I: transmission filename */
char *spheranm, /* I: spherical albedo filename */
char *cmgdemnm, /* I: climate modeling grid DEM filename */
char *rationm, /* I: ratio averages filename */
char *auxnm, /* I: auxiliary filename for ozone and water vapor */
float *eps, /* O: angstrom coefficient */
int *iaots, /* O: index for AOTs */
float *xtv, /* O: observation zenith angle (deg) */
float *xmuv, /* O: cosine of observation zenith angle */
float *xfi, /* O: azimuthal difference between sun and
observation (deg) */
float *cosxfi, /* O: cosine of azimuthal difference */
float *raot550nm, /* O: nearest value of AOT */
float *pres, /* O: surface pressure */
float *uoz, /* O: total column ozone */
float *uwv, /* O: total column water vapor (precipital water
vapor) */
float *xtsstep, /* O: solar zenith step value */
float *xtsmin, /* O: minimum solar zenith value */
float *xtvstep, /* O: observation step value */
float *xtvmin, /* O: minimum observation value */
float *tsmax, /* O: maximum scattering angle table
[NVIEW_ZEN_VALS x NSOLAR_ZEN_VALS] */
float *tsmin, /* O: minimum scattering angle table
[NVIEW_ZEN_VALS x NSOLAR_ZEN_VALS] */
float tts[22], /* O: sun angle table */
float *ttv, /* O: view angle table
[NVIEW_ZEN_VALS x NSOLAR_ZEN_VALS] */
int32 indts[22], /* O: index for the sun angle table */
float *rolutt, /* O: intrinsic reflectance table
[NSR_BANDS x NPRES_VALS x NAOT_VALS x NSOLAR_VALS] */
float *transt, /* O: transmission table
[NSR_BANDS x NPRES_VALS x NAOT_VALS x NSUN_ANGLE_VALS] */
float *sphalbt, /* O: spherical albedo table
[NSR_BANDS x NPRES_VALS x NAOT_VALS] */
float *normext, /* O: aerosol extinction coefficient at the current
wavelength (normalized at 550nm)
[NSR_BANDS x NPRES_VALS x NAOT_VALS] */
float *nbfic, /* O: communitive number of azimuth angles
[NVIEW_ZEN_VALS x NSOLAR_ZEN_VALS] */
float *nbfi, /* O: number of azimuth angles
[NVIEW_ZEN_VALS x NSOLAR_ZEN_VALS] */
int16 *dem, /* O: CMG DEM data array [DEM_NBLAT x DEM_NBLON] */
int16 *andwi, /* O: avg NDWI [RATIO_NBLAT x RATIO_NBLON] */
int16 *sndwi, /* O: standard NDWI [RATIO_NBLAT x RATIO_NBLON] */
int16 *ratiob1, /* O: mean band1 ratio [RATIO_NBLAT x RATIO_NBLON] */
int16 *ratiob2, /* O: mean band2 ratio [RATIO_NBLAT x RATIO_NBLON] */
int16 *ratiob7, /* O: mean band7 ratio [RATIO_NBLAT x RATIO_NBLON] */
int16 *intratiob1, /* O: integer band1 ratio [RATIO_NBLAT x RATIO_NBLON] */
int16 *intratiob2, /* O: integer band2 ratio [RATIO_NBLAT x RATIO_NBLON] */
int16 *intratiob7, /* O: integer band7 ratio [RATIO_NBLAT x RATIO_NBLON] */
int16 *slpratiob1, /* O: slope band1 ratio [RATIO_NBLAT x RATIO_NBLON] */
int16 *slpratiob2, /* O: slope band2 ratio [RATIO_NBLAT x RATIO_NBLON] */
int16 *slpratiob7, /* O: slope band7 ratio [RATIO_NBLAT x RATIO_NBLON] */
uint16 *wv, /* O: water vapor values [CMG_NBLAT x CMG_NBLON] */
uint8 *oz /* O: ozone values [CMG_NBLAT x CMG_NBLON] */
)
{
char errmsg[STR_SIZE]; /* error message */
char FUNC_NAME[] = "init_sr_refl"; /* function name */
int retval; /* return status */
int lcmg, scmg; /* line/sample index for the CMG */
int cmg_pix; /* pixel location in the CMG array for [lcmg][scmg] */
int dem_pix; /* pixel location in the DEM array for [lcmg][scmg] */
float xcmg, ycmg; /* x/y location for CMG */
/* Vars for forward/inverse mapping space */
Img_coord_float_t img; /* coordinate in line/sample space */
Geo_coord_t geo; /* coordinate in lat/long space */
float center_lat, center_lon; /* lat/long for scene center */
/* Initialize the look up tables */
*eps = 1.0;
*iaots = 0;
*xtv = 0.0;
*xmuv = cos (*xtv * DEG2RAD);
*xfi = 0.0;
*cosxfi = cos (*xfi * DEG2RAD);
*xtsmin = 0;
*xtsstep = 4.0;
*xtvmin = 2.84090;
*xtvstep = 6.52107 - *xtvmin;
retval = readluts (tsmax, tsmin, ttv, tts, nbfic, nbfi, indts, rolutt,
transt, sphalbt, normext, *xtsstep, *xtsmin, anglehdf,
intrefnm, transmnm, spheranm);
if (retval != SUCCESS)
{
sprintf (errmsg, "Reading the LUTs");
error_handler (true, FUNC_NAME, errmsg);
return (ERROR);
}
printf ("The LUTs for urban clean case v2.0 have been read. We can "
"now perform atmospheric correction.\n");
/* Read the auxiliary data files used as input to the reflectance
calculations */
retval = read_auxiliary_files (cmgdemnm, rationm, auxnm, dem, andwi, sndwi,
ratiob1, ratiob2, ratiob7, intratiob1, intratiob2, intratiob7,
slpratiob1, slpratiob2, slpratiob7, wv, oz);
if (retval != SUCCESS)
{
sprintf (errmsg, "Reading the auxiliary files");
error_handler (true, FUNC_NAME, errmsg);
return (ERROR);
}
/* Getting parameters for atmospheric correction */
/* Update to get the parameter of the scene center */
*raot550nm = 0.12;
*pres = 1013.0;
*uoz = 0.30;
*uwv = 0.5;
/* Use scene center (and center of the pixel) to compute atmospheric
parameters */
img.l = (int) (nlines * 0.5) - 0.5;
img.s = (int) (nsamps * 0.5) + 0.5;
img.is_fill = false;
if (!from_space (space, &img, &geo))
{
sprintf (errmsg, "Mapping scene center to geolocation coords");
error_handler (true, FUNC_NAME, errmsg);
return (ERROR);
}
center_lat = geo.lat * RAD2DEG;
center_lon = geo.lon * RAD2DEG;
printf ("Scene center line/sample: %f, %f\n", img.l, img.s);
printf ("Scene center lat/long: %f, %f\n", center_lat, center_lon);
/* Use the scene center lat/long to determine the line/sample in the
CMG-related lookup tables, using the center of the UL pixel.
Negative latitude values should be the largest line values in the CMG
grid. Negative longitude values should be the smallest sample values
in the CMG grid. */
ycmg = (89.975 - center_lat) * 20.0; /* vs / 0.05 */
xcmg = (179.975 + center_lon) * 20.0; /* vs / 0.05 */
lcmg = (int) roundf (ycmg);
scmg = (int) roundf (xcmg);
/* Handle the edges of the lat/long values in the CMG grid */
if (lcmg < 0)
lcmg = 0;
else if (lcmg >= CMG_NBLAT)
lcmg = CMG_NBLAT;
if (scmg < 0)
scmg = 0;
else if (scmg >= CMG_NBLON)
scmg = CMG_NBLON;
cmg_pix = lcmg * CMG_NBLON + scmg;
if (wv[cmg_pix] != 0)
*uwv = wv[cmg_pix] / 200.0;
else
*uwv = 0.5;
if (oz[cmg_pix] != 0)
*uoz = oz[cmg_pix] / 400.0;
else
*uoz = 0.3;
dem_pix = lcmg * DEM_NBLON + scmg;
if (dem[dem_pix] != -9999)
*pres = 1013.0 * exp (-dem[dem_pix] * ONE_DIV_8500);
else
*pres = 1013.0;
*raot550nm = DEFAULT_AERO;
/* Successful completion */
return (SUCCESS);
}
/******************************************************************************
MODULE: is_cloud
PURPOSE: Determines if the pixel is a cloud (cloud or cirrus cloud). The
Level-1 QA band is used. A confidence of high for either of the QA types will
result in the pixel being flagged as cloudy.
RETURN VALUE:
Type = boolean
Value Description
----- -----------
false Pixel is not cloud
true Pixel is cloud
PROJECT: Land Satellites Data System Science Research and Development (LSRD)
at the USGS EROS
NOTES:
******************************************************************************/
bool is_cloud
(
uint16_t l1_qa_pix /* I: Level-1 QA value for current pixel */
)
{
/* If the confidence level is high for cloud or cirrus, then flag this as
a cloud */
if (level1_qa_cloud_confidence (l1_qa_pix) == L1QA_HIGH_CONF ||
level1_qa_cirrus_confidence (l1_qa_pix) == L1QA_HIGH_CONF)
return (true);
else
return (false);
}
/******************************************************************************
MODULE: is_cloud_or_shadow
PURPOSE: Determines if the pixel is a cloud (cloud, cloud shadow, or cirrus
cloud). The Level-1 QA band is used. A confidence of high for any of the
three QA types will result in the pixel being flagged as cloudy.
RETURN VALUE:
Type = boolean
Value Description
----- -----------
false Pixel is not cloud or shadow
true Pixel is cloud or shadow
PROJECT: Land Satellites Data System Science Research and Development (LSRD)
at the USGS EROS
NOTES:
******************************************************************************/
bool is_cloud_or_shadow
(
uint16_t l1_qa_pix /* I: Level-1 QA value for current pixel */
)
{
/* If the confidence level is high for cloud, cloud shadow, or cirrus, then
flag this as a cloud */
if (level1_qa_cloud_confidence (l1_qa_pix) == L1QA_HIGH_CONF ||
level1_qa_cloud_shadow_confidence (l1_qa_pix) == L1QA_HIGH_CONF ||
level1_qa_cirrus_confidence (l1_qa_pix) == L1QA_HIGH_CONF)
return (true);
else
return (false);
}
/******************************************************************************
MODULE: is_shadow
PURPOSE: Determines if the pixel is a cloud shadow. The Level-1 QA band is
used. A confidence of high for this QA type will result in the pixel being
flagged as a cloud shadow.
RETURN VALUE:
Type = boolean
Value Description
----- -----------
false Pixel is not cloud shadow
true Pixel is cloud shadow
PROJECT: Land Satellites Data System Science Research and Development (LSRD)
at the USGS EROS
NOTES:
******************************************************************************/
bool is_shadow
(
uint16_t l1_qa_pix /* I: Level-1 QA value for current pixel */
)
{
/* If the confidence level is high for cloud shadow, then flag this as a
cloud */
if (level1_qa_cloud_shadow_confidence (l1_qa_pix) == L1QA_HIGH_CONF)
return (true);
else
return (false);
}
/******************************************************************************
MODULE: is_water
PURPOSE: Determines if the pixel is water. The NDVI is used to determine if
this is a water pixel.
RETURN VALUE:
Type = boolean
Value Description
----- -----------
false Pixel is not water
true Pixel is water
PROJECT: Land Satellites Data System Science Research and Development (LSRD)
at the USGS EROS
NOTES:
******************************************************************************/
bool is_water
(
int16 band4_pix, /* I: Band 4 reflectance for current pixel */
int16 band5_pix /* I: Band 5 reflectance for current pixel */
)
{
double ndvi; /* use NDVI for flagging water pixels */
/* Calculate NDVI and flag water pixels */
if (band5_pix < 100)
ndvi = -0.01;
else
ndvi = ((double) band5_pix - (double) band4_pix) /
((double) band5_pix + (double) band4_pix);
/* If the NDVI is low, then flag this as a water pixel */
if (ndvi < 0.01)
return (true);
else
return (false);
}
/******************************************************************************
MODULE: find_closest_non_fill
PURPOSE: Finds the closest non-fill pixel in the aerosol window
RETURN VALUE:
Type = boolean
Value Description
----- -----------
false No pixel found
true Pixel found
PROJECT: Land Satellites Data System Science Research and Development (LSRD)
at the USGS EROS
NOTES:
******************************************************************************/
bool find_closest_non_fill
(
uint16 *qaband, /* I: QA band for the input image, nlines x nsamps */
int nlines, /* I: number of lines in QA band */
int nsamps, /* I: number of samps in QA band */
int center_line, /* I: line for the center of the aerosol window */
int center_samp, /* I: sample for the center of the aerosol window */
int *nearest_line, /* O: line for nearest non-fill pix in aerosol window */
int *nearest_samp /* O: samp for nearest non-fill pix in aerosol window */
)
{
int curr_pix; /* looping variable for pixels */
int line, samp; /* looping variables for lines and samples */
int aero_window; /* looping variabel for the aerosol window */
/* Loop around the center pixel, moving outward with each loop, searching
for a pixel that is not of the QA type specified and is not fill */
for (aero_window = 1; aero_window <= HALF_AERO_WINDOW; aero_window++)
{
for (line = center_line - aero_window;
line <= center_line + aero_window; line++)
{
/* Make sure the line is valid */
if (line < 0 || line >= nlines)
continue;
curr_pix = line * nsamps + center_samp - aero_window;
for (samp = center_samp - aero_window;
samp <= center_samp + aero_window; samp++, curr_pix++)
{
/* Make sure the sample is valid */
if (samp < 0 || samp >= nsamps)
continue;
/* If this pixel is not fill, then mark it as the closest
non-fill pixel and return */
if (!level1_qa_is_fill (qaband[curr_pix]))
{
*nearest_line = line;
*nearest_samp = samp;
return (true);
}
}
}
}
/* No pixel was found that met the criteria */
return (false);
}
/******************************************************************************
MODULE: find_closest_non_cloud_shadow_water
PURPOSE: Finds the closest non-cloud, non-shadow, non-water pixel in the
aerosol window
RETURN VALUE:
Type = boolean
Value Description
----- -----------
false No pixel found
true Pixel found
PROJECT: Land Satellites Data System Science Research and Development (LSRD)
at the USGS EROS
NOTES:
******************************************************************************/
bool find_closest_non_cloud_shadow_water
(
uint16 *qaband, /* I: QA band for the input image, nlines x nsamps */
int16 **sband, /* I: input surface reflectance, nlines x nsamps */
int nlines, /* I: number of lines in QA band */
int nsamps, /* I: number of samps in QA band */
int center_line, /* I: line for the center of the aerosol window */
int center_samp, /* I: sample for the center of the aerosol window */
int *nearest_line, /* O: line for nearest non-cloud pix in aerosol window */
int *nearest_samp /* O: samp for nearest non-cloud pix in aerosol window */
)
{
int curr_pix; /* looping variable for pixels */
int line, samp; /* looping variables for lines and samples */
int aero_window; /* looping variabel for the aerosol window */
/* Loop around the center pixel, moving outward with each loop, searching
for a pixel that is not of the QA type specified and is not fill */
for (aero_window = 1; aero_window <= HALF_AERO_WINDOW; aero_window++)
{
for (line = center_line - aero_window;
line <= center_line + aero_window; line++)
{
/* Make sure the line is valid */
if (line < 0 || line >= nlines)
continue;
curr_pix = line * nsamps + center_samp - aero_window;
for (samp = center_samp - aero_window;
samp <= center_samp + aero_window; samp++, curr_pix++)
{
/* Make sure the sample is valid */
if (samp < 0 || samp >= nsamps)
continue;
/* If this pixel is not fill, not water, and is not cloud or
shadow, then mark it as the closest non-cloud pixel and
return. */
if (!level1_qa_is_fill (qaband[curr_pix]) &&
!is_cloud_or_shadow (qaband[curr_pix]) &&
!is_water (sband[SR_BAND4][curr_pix],
sband[SR_BAND5][curr_pix]))
{
*nearest_line = line;
*nearest_samp = samp;
return (true);
}
}
}
}
/* No pixel was found that met the criteria */
return (false);
}
/******************************************************************************
MODULE: find_closest_non_water
PURPOSE: Finds the closest non-water pixel in the aerosol window
RETURN VALUE:
Type = boolean
Value Description
----- -----------
false No pixel found
true Pixel found
PROJECT: Land Satellites Data System Science Research and Development (LSRD)
at the USGS EROS
NOTES:
******************************************************************************/
bool find_closest_non_water
(
uint16 *qaband, /* I: QA band for the input image, nlines x nsamps */
int16 **sband, /* I: input surface reflectance, nlines x nsamps */
int nlines, /* I: number of lines in QA band */
int nsamps, /* I: number of samps in QA band */
int center_line, /* I: line for the center of the aerosol window */
int center_samp, /* I: sample for the center of the aerosol window */
int *nearest_line, /* O: line for nearest non-cloud pix in aerosol window */
int *nearest_samp /* O: samp for nearest non-cloud pix in aerosol window */
)
{
int curr_pix; /* looping variable for pixels */
int line, samp; /* looping variables for lines and samples */
int aero_window; /* looping variabel for the aerosol window */
/* Loop around the center pixel, moving outward with each loop, searching
for a pixel that is not of the QA type specified and is not fill */
for (aero_window = 1; aero_window <= HALF_AERO_WINDOW; aero_window++)
{
for (line = center_line - aero_window;
line <= center_line + aero_window; line++)
{
/* Make sure the line is valid */
if (line < 0 || line >= nlines)
continue;
curr_pix = line * nsamps + center_samp - aero_window;
for (samp = center_samp - aero_window;
samp <= center_samp + aero_window; samp++, curr_pix++)
{
/* Make sure the sample is valid */
if (samp < 0 || samp >= nsamps)
continue;
/* If this pixel is not fill and is not water, then mark it as
the closest non-water pixel and return. */
if (!level1_qa_is_fill (qaband[curr_pix]) &&
!is_water (sband[SR_BAND4][curr_pix],
sband[SR_BAND5][curr_pix]))
{
*nearest_line = line;
*nearest_samp = samp;
return (true);
}
}
}
}
/* No pixel was found that met the criteria */
return (false);
}
/******************************************************************************
MODULE: mask_aero_window
PURPOSE: Masks the current pixel's quick use aerosol window for fill, cloud,
and water pixels.
RETURN VALUE: N/A
PROJECT: Land Satellites Data System Science Research and Development (LSRD)
at the USGS EROS
NOTES:
******************************************************************************/
void mask_aero_window
(
uint16 *qaband, /* I: QA band for the input image, nlines x nsamps */
int16 **sband, /* I: input surface reflectance */
int nlines, /* I: number of lines in QA band */
int nsamps, /* I: number of samps in QA band */
int center_line, /* I: line for the center of the aerosol window */
int center_samp, /* I: sample for the center of the aerosol window */
bool *quick_qa /* O: quick QA for the current aerosol window,
AERO_WINDOW x AERO_WINDOW
(true=not clear, false=clear) */
)
{
int curr_pix; /* looping variable for current pixel in the
level-1 QA */
int curr_qa_pix; /* looping variable for current quick QA pixel */
int line, samp; /* looping variables for lines and samples */
/* Initialize the quick QA window to not clear, which includes pixels
that go beyond the scene boundaries */
for (curr_qa_pix = 0; curr_qa_pix < AERO_WINDOW * AERO_WINDOW;
curr_qa_pix++)
quick_qa[curr_qa_pix] = true;
/* Loop around the current aerosol window flagging fill, cloudy, and water
pixels */
curr_qa_pix = 0;
for (line = center_line - HALF_AERO_WINDOW;
line <= center_line + HALF_AERO_WINDOW; line++)
{
/* Make sure the line is valid */
if (line < 0 || line >= nlines)
continue;
curr_pix = line * nsamps + center_samp - HALF_AERO_WINDOW;
for (samp = center_samp - HALF_AERO_WINDOW;
samp <= center_samp + HALF_AERO_WINDOW;
samp++, curr_pix++, curr_qa_pix++)
{
/* Make sure the sample is valid */
if (samp < 0 || samp >= nsamps)
continue;
/* If this pixel is not fill, is not cloud, is not shadow, and is
not water, then mark it as clear. */
if (!level1_qa_is_fill (qaband[curr_pix]) &&
!is_cloud_or_shadow (qaband[curr_pix]) &&
!is_water (sband[SR_BAND4][curr_pix],
sband[SR_BAND5][curr_pix]))
{ /* pixel is clear */
quick_qa[curr_qa_pix] = false;
}
} /* for samp */
} /* for line */
}
|
pi_integration_omp.c | #include <stdio.h>
#include <stdlib.h>
#include <omp.h>
int main (int argc, char *argv[])
{
int i,num_steps;
double x, sum, step, pi;
double t_start, t_end;
num_steps=500000000;
x=0;
sum = 0.0;
step = 1.0/(double) num_steps;
t_start = omp_get_wtime();
#pragma omp parallel for reduction(+:sum) default(none) private(i,x) firstprivate(step, num_steps)
for (i=0; i < num_steps; i++)
{
x = (i+0.5)*step;
sum = sum + 4.0/(1.0+x*x);
}
pi = step * sum;
t_end = omp_get_wtime();
printf("Value of pi = %g\n",pi);
printf("Expended wall clock time = %.20f\n", t_end - t_start);
printf("num proc = %d\n", omp_get_num_procs());
return EXIT_SUCCESS;
}
|
reduction.c | #include <omp.h>
#include <stdio.h>
main () {
int i, n, chunk;
float a[100], b[100], result;
/* Some initializations */
n = 100;
chunk = 10;
result = 0.0;
for (i=0; i < n; i++)
{
a[i] = i * 1.0;
b[i] = i * 2.0;
}
#pragma omp parallel for \
default(shared) private(i) \
schedule(static,chunk) \
reduction(+:result)
for (i=0; i < n; i++)
result = result + (a[i] * b[i]);
printf("Final result= %f\n",result);
}
|
AtomicVector.h | /// \ingroup base
/// \class ttk::AtomicVector
/// \author Charles Gueunet <charles.gueunet@lip6.fr>
/// \date 2017-02-09
///
///\brief TTK processing package that manage a paralle vecrion of vector
#ifndef ATOMICVECTOR_H
#define ATOMICVECTOR_H
#ifdef TTK_ENABLE_OPENMP
#include <omp.h>
#endif // TTK_ENABLE_OPENMP
#include <iterator>
#include <vector>
#ifndef TTK_ENABLE_KAMIKAZE
#include <iostream>
#include <typeinfo>
#endif
namespace ttk
{
template <typename type>
class AtomicVector : public std::vector<type>
{
private:
std::size_t nextId;
// for initialization
const type defaultValue;
public:
AtomicVector(const std::size_t initSize = 1, const type &dv = type{})
: std::vector<type>(), nextId(0), defaultValue{dv}
{
#ifndef TTK_ENABLE_KAMIKAZE
if (!initSize) {
std::cout << "Caution, Atomic vector need a non-0 init size !" << std::endl;
std::vector<type>::resize(1, defaultValue);
} else
#endif
{
std::vector<type>::resize(initSize, defaultValue);
}
}
// copy constructor
AtomicVector(const AtomicVector &other) : std::vector<type>(other), nextId(other.nextId)
{
#ifndef TTK_ENABLE_KAMIKAZE
if (!std::vector<type>::size()) {
reserve(1);
}
#endif
}
AtomicVector(AtomicVector &&other) = default;
virtual ~AtomicVector() = default;
// ---
// STL
// ---
// If we do not want to use default constructor for elements
// pre-allocated
void reserve(const std::size_t &newSize)
{
if (newSize > std::vector<type>::size()) {
#ifndef TTK_ENABLE_KAMIKAZE
#ifdef TTK_ENABLE_OPENMP
if (omp_in_parallel()) {
// WARNING: In parallel we do not want to make reserve as it can lead to
// data race, we should not enter here
#pragma omp critical(AtomicUFReserve)
{
std::vector<type>::resize(newSize, defaultValue);
}
} else
#endif
#endif
{
std::vector<type>::resize(newSize, defaultValue);
}
}
}
void reset(const std::size_t &nId = 0)
{
#ifdef TTK_ENABLE_OPENMP
#pragma omp atomic write
#endif
nextId = nId;
}
void clear(void)
{
reset();
// Remove old content
std::size_t oldSize = std::vector<type>::size();
std::vector<type>::clear();
reserve(oldSize);
}
std::size_t getNext(void)
{
std::size_t resId;
#ifdef TTK_ENABLE_OPENMP
#pragma omp atomic capture
#endif
resId = nextId++;
if (nextId == std::vector<type>::size()) {
reserve(std::vector<type>::size() * 2);
}
return resId;
}
std::size_t size(void) const
{
return nextId;
}
bool empty(void) const
{
return nextId == 0;
}
void push_back(const type &elmt)
{
const auto &curPos = getNext();
(*this)[curPos] = elmt;
}
// --------
// OPERATOR
// --------
AtomicVector<type> &operator=(const AtomicVector<type> &other)
{
std::vector<type>::operator=(other);
nextId = other.nextId;
}
// ---------
// ITERATORS
// ---------
// allow foreach on the vector
typedef typename std::vector<type>::iterator iterator;
typedef typename std::vector<type>::const_iterator const_iterator;
iterator end()
{
return this->begin() + nextId;
}
const_iterator cend() const
{
return this->cbegin() + nextId;
}
typedef typename std::vector<type>::reverse_iterator riterator;
typedef typename std::vector<type>::const_reverse_iterator const_riterator;
riterator rbegin()
{
return this->rend() - (nextId - 1);
}
const_riterator crbegin() const
{
return this->crend() - (nextId - 1);
}
};
}
#endif /* end of include guard: ATOMICVECTOR_H */
|
fully_connected_x86.h | /*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* License); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* AS IS BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
* under the License.
*/
/*
* Parts of the following code in this file refs to
* https://github.com/Tencent/ncnn/blob/master/src/layer/innerproduct.h
* BUG1989 is pleased to support the open source community by supporting ncnn available.
*
* Copyright (C) 2019 BUG1989. All rights reserved.
*
* Licensed under the BSD 3-Clause License (the "License"); you may not use this
* file except in compliance with the License. You may obtain a copy of the License at
*
* https://opensource.org/licenses/BSD-3-Clause
*/
/*
* Copyright (c) 2020, OPEN AI LAB
* Author: qtang@openailab.com
*/
#ifndef __FULLY_CONNECTED_X86_H__
#define __FULLY_CONNECTED_X86_H__
#include <stdlib.h>
#if __SSE2__
#include <emmintrin.h>
#endif
#if __AVX__
#include <immintrin.h>
#endif
int innerproduct(int inn, int inc, int inh, int inw, int outc, float* weight, float* input, float* output, float* _bias)
{
size_t elemsize = sizeof(float);
int size = inw * inh;
// outc
#pragma omp parallel for num_threads(opt.num_threads)
for(int n = 0; n < inn; n++)
{
for(int p = 0; p < outc; p++)
{
int q = 0;
float sum = _bias ? _bias[p] : 0.f;
const float* weight1 = weight + p * inc * size;
const float* input1 = input + n * inc * size;
#if __AVX__ || __SSE__
#if __SSE__
float _sum[4] = {0.f};
__m128 _sum0 = _mm_set1_ps(0.f);
for(; q + 3 < inc * size; q = q + 4)
{
__m128 _input = _mm_loadu_ps(input1 + q);
__m128 _weight = _mm_loadu_ps(weight1 + q);
__m128 _sum1 = _mm_mul_ps(_input, _weight);
_sum0 = _mm_add_ps(_sum0, _sum1);
}
_mm_storeu_ps(_sum, _sum0);
float tmp = _sum[0] + _sum[1] + _sum[2] + _sum[3];
sum = sum + tmp;
#else //__AVX__
// TODO
#endif
#endif
for(; q < inc * size; q++)
{
float tmp = input1[q] * weight1[q];
sum = sum + tmp;
}
output[n * outc + p] = sum;
}
}
return 0;
}
#endif |
GB_unop__tan_fp64_fp64.c | //------------------------------------------------------------------------------
// GB_unop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2022, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated2/ folder, do not edit it
// (it is auto-generated from Generator/*).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_atomics.h"
#include "GB_unop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB (_unop_apply__tan_fp64_fp64)
// op(A') function: GB (_unop_tran__tan_fp64_fp64)
// C type: double
// A type: double
// cast: double cij = aij
// unaryop: cij = tan (aij)
#define GB_ATYPE \
double
#define GB_CTYPE \
double
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
double aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = tan (x) ;
// casting
#define GB_CAST(z, aij) \
double z = aij ;
// cij = op (aij)
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
double aij = Ax [pA] ; \
/* Cx [pC] = op (cast (aij)) */ \
double z = aij ; \
Cx [pC] = tan (z) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_TAN || GxB_NO_FP64)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_apply__tan_fp64_fp64)
(
double *Cx, // Cx and Ax may be aliased
const double *Ax,
const int8_t *restrict Ab, // A->b if A is bitmap
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
if (Ab == NULL)
{
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
double aij = Ax [p] ;
double z = aij ;
Cx [p] = tan (z) ;
}
}
else
{
// bitmap case, no transpose; A->b already memcpy'd into C->b
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!Ab [p]) continue ;
double aij = Ax [p] ;
double z = aij ;
Cx [p] = tan (z) ;
}
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_tran__tan_fp64_fp64)
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
DRB067-restrictpointer1-orig-no.c | /*
Copyright (c) 2017, Lawrence Livermore National Security, LLC.
Produced at the Lawrence Livermore National Laboratory
Written by Chunhua Liao, Pei-Hung Lin, Joshua Asplund,
Markus Schordan, and Ian Karlin
(email: liao6@llnl.gov, lin32@llnl.gov, asplund1@llnl.gov,
schordan1@llnl.gov, karlin1@llnl.gov)
LLNL-CODE-732144
All rights reserved.
This file is part of DataRaceBench. For details, see
https://github.com/LLNL/dataracebench. Please also see the LICENSE file
for our additional BSD notice.
Redistribution and use in source and binary forms, with
or without modification, are permitted provided that the following
conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the disclaimer below.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the disclaimer (as noted below)
in the documentation and/or other materials provided with the
distribution.
* Neither the name of the LLNS/LLNL nor the names of its contributors
may be used to endorse or promote products derived from this
software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND
CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES,
INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF
MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL LAWRENCE LIVERMORE NATIONAL
SECURITY, LLC, THE U.S. DEPARTMENT OF ENERGY OR CONTRIBUTORS BE
LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY,
OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING
IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF
THE POSSIBILITY OF SUCH DAMAGE.
*/
/*
restrict pointers: no aliasing
Array initialization using assignments.
C99 is needed to compile this code
e.g. gcc -std=c99 -c Stress-1.c
*/
#include "omprace.h"
#include <omp.h>
#include <stdlib.h>
typedef double real8;
//modified to successfully compile with clang
//void foo(real8 * restrict newSxx, real8 * restrict newSyy, int length)
void foo(real8 * newSxx, real8 * newSyy, int length)
{
int i;
#pragma omp parallel for private (i) firstprivate (length)
for (i = 0; i <= length - 1; i += 1) {
newSxx[i] = 0.0;
newSyy[i] = 0.0;
}
}
int main()
{
omprace_init();
int length=1000;
real8* newSxx =(real8*) malloc (length* sizeof (real8));
real8* newSyy =(real8*) malloc (length* sizeof (real8));
foo(newSxx, newSyy, length);
free (newSxx);
free (newSyy);
omprace_fini();
return 0;
}
|
zgetrf.c | /**
*
* @file
*
* PLASMA is a software package provided by:
* University of Tennessee, US,
* University of Manchester, UK.
*
* @precisions normal z -> s d c
*
**/
#include "plasma.h"
#include "plasma_async.h"
#include "plasma_context.h"
#include "plasma_descriptor.h"
#include "plasma_internal.h"
#include "plasma_types.h"
#include "plasma_workspace.h"
#include "plasma_tuning.h"
/***************************************************************************//**
*
******************************************************************************/
int plasma_zgetrf(int m, int n,
plasma_complex64_t *pA, int lda, int *ipiv)
{
// Get PLASMA context.
plasma_context_t *plasma = plasma_context_self();
if (plasma == NULL) {
plasma_fatal_error("PLASMA not initialized");
return PlasmaErrorNotInitialized;
}
if (m < 0) {
plasma_error("illegal value of m");
return -1;
}
if (n < 0) {
plasma_error("illegal value of n");
return -2;
}
if (lda < imax(1, m)) {
plasma_error("illegal value of lda");
return -4;
}
// quick return
if (imin(m, n) == 0)
return PlasmaSuccess;
// Tune parameters.
// if (plasma->tuning)
// plasma_tune_getrf(plasma, PlasmaComplexDouble, m, n);
int nb = plasma->nb;
// Initialize barrier.
plasma_barrier_init(&plasma->barrier);
// Create tile matrix.
plasma_desc_t A;
int retval;
retval = plasma_desc_general_create(PlasmaComplexDouble, nb, nb,
m, n, 0, 0, m, n, &A);
if (retval != PlasmaSuccess) {
plasma_error("plasma_desc_general_create() failed");
return retval;
}
// Create sequence.
plasma_sequence_t *sequence = NULL;
retval = plasma_sequence_create(&sequence);
if (retval != PlasmaSuccess) {
plasma_error("plasma_sequence_create() failed");
return retval;
}
// Initialize request.
plasma_request_t request = PlasmaRequestInitializer;
#pragma omp parallel
#pragma omp master
{
// Translate to tile layout.
plasma_omp_zge2desc(pA, lda, A, sequence, &request);
}
#pragma omp parallel
#pragma omp master
{
// Call the tile async function.
plasma_omp_zgetrf(A, ipiv, sequence, &request);
}
#pragma omp parallel
#pragma omp master
{
// Translate back to LAPACK layout.
plasma_omp_zdesc2ge(A, pA, lda, sequence, &request);
}
// Free matrix A in tile layout.
plasma_desc_destroy(&A);
// Return status.
int status = sequence->status;
plasma_sequence_destroy(sequence);
return status;
}
/***************************************************************************//**
*
******************************************************************************/
void plasma_omp_zgetrf(plasma_desc_t A, int *ipiv,
plasma_sequence_t *sequence, plasma_request_t *request)
{
// Get PLASMA context.
plasma_context_t *plasma = plasma_context_self();
if (plasma == NULL) {
plasma_fatal_error("PLASMA not initialized");
plasma_request_fail(sequence, request, PlasmaErrorIllegalValue);
return;
}
// Check input arguments.
if (plasma_desc_check(A) != PlasmaSuccess) {
plasma_request_fail(sequence, request, PlasmaErrorIllegalValue);
plasma_error("invalid A");
return;
}
if (sequence == NULL) {
plasma_fatal_error("NULL sequence");
plasma_request_fail(sequence, request, PlasmaErrorIllegalValue);
return;
}
if (request == NULL) {
plasma_fatal_error("NULL request");
plasma_request_fail(sequence, request, PlasmaErrorIllegalValue);
return;
}
// quick return
if (A.m == 0 || A.n == 0)
return;
// Call the parallel function.
plasma_pzgetrf(A, ipiv, sequence, request);
}
|
blas.c | /* Copyright 2016. The Regents of the University of California.
* Copyright 2016-2020. Uecker Lab. University Medical Center Göttingen.
* All rights reserved. Use of this source code is governed by
* a BSD-style license which can be found in the LICENSE file.
*
* Authors:
* 2016 Jonathan Tamir <jtamir@eecs.berkeley.edu>
* 2016-2020 Martin Uecker <martin.uecker@med.uni-goettingen.de>
* 2019-2020 Moritz Blumenthal
*/
#include <assert.h>
#include <complex.h>
#include <stdbool.h>
#include "misc/misc.h"
#ifdef USE_MACPORTS
#include <cblas_openblas.h>
#elif USE_MKL
#include <mkl.h>
#else
#include <cblas.h>
#endif
#ifdef _OPENMP
#include <omp.h>
#endif
#ifdef USE_CUDA
#include <cuComplex.h>
#include <cublas_v2.h>
#include "num/gpuops.h"
#endif
#include "blas.h"
#ifdef USE_CUDA
//blas2_* means, we use the new blas interface, i.e. scalar parameters are written an read by pointers.
//These pointers can point to cpu or gpu memory.
//blas_* uses the old interface where scalar parameters/results are provided/written by value/return.
static void cublas_error(int line, cublasStatus_t code)
{
error("cublas error: %d in line %d \n", code, line);
}
#define CUBLAS_ERROR(x) ({ cublasStatus_t errval = (x); if (CUBLAS_STATUS_SUCCESS != errval) cublas_error(__LINE__, errval); })
static cublasHandle_t handle;
static _Bool handle_created = false;
static cublasHandle_t get_handle(void)
{
if (!handle_created)
CUBLAS_ERROR(cublasCreate(&handle));
handle_created = true;
return handle;
}
static void destroy_handle(void)
{
CUBLAS_ERROR(cublasDestroy(handle));
handle_created = false;
}
static void cublas_set_pointer_host(void)
{
(void)get_handle();
CUBLAS_ERROR(cublasSetPointerMode(handle, CUBLAS_POINTER_MODE_HOST));
}
static void cublas_set_pointer_device(void)
{
(void)get_handle();
CUBLAS_ERROR(cublasSetPointerMode(handle, CUBLAS_POINTER_MODE_DEVICE));
}
static cublasOperation_t cublas_trans(char trans)
{
if (('N' == trans) || ('n'==trans))
return CUBLAS_OP_N;
if (('T' == trans) || ('t'==trans))
return CUBLAS_OP_T;
if (('C' == trans) || ('c'==trans))
return CUBLAS_OP_C;
assert(0);
}
#endif
static void openblas_set_threads(void)
{
#ifndef USE_OPENBLAS
return;
#else
#ifndef _OPENMP
return;
#else
if (1 != openblas_get_parallel())
return; //pthread version of openblas
#pragma omp critical
openblas_set_num_threads(omp_in_parallel() ? 1 : omp_get_max_threads());
#endif
#endif
}
void blas2_cgemm(char transa, char transb, long M, long N, long K, const complex float* alpha, long lda, const complex float* A, long ldb, const complex float* B, const complex float* beta, long ldc, complex float* C)
{
#ifdef USE_CUDA
if (cuda_ondevice(A)) {
cublas_set_pointer_device();
cublasCgemm(get_handle(), cublas_trans(transa), cublas_trans(transb), M, N, K, (const cuComplex*)alpha,
(const cuComplex*)A, lda, (const cuComplex*)B, ldb, (const cuComplex*)beta, (cuComplex*)C, ldc);
return;
}
#endif
openblas_set_threads();
cblas_cgemm(CblasColMajor, ('T' == transa) ? CblasTrans : (('C' == transa) ? CblasConjTrans : CblasNoTrans),
('T' == transb) ? CblasTrans : (('C' == transb) ? CblasConjTrans : CblasNoTrans),
M, N, K, (void*)alpha, (void*)A, lda, (void*)B, ldb, (void*)beta, (void*)C, ldc);
}
void blas_cgemm(char transa, char transb, long M, long N, long K, const complex float alpha, long lda, const complex float* A, long ldb, const complex float* B, const complex float beta, long ldc, complex float* C)
{
#ifdef USE_CUDA
if (cuda_ondevice(A)) {
cublas_set_pointer_host();
cublasCgemm(get_handle(), cublas_trans(transa), cublas_trans(transb), M, N, K, (const cuComplex*)(&alpha),
(const cuComplex*)A, lda, (const cuComplex*)B, ldb, (const cuComplex*)(&beta), (cuComplex*)C, ldc);
return;
}
#endif
openblas_set_threads();
cblas_cgemm(CblasColMajor, ('T' == transa) ? CblasTrans : (('C' == transa) ? CblasConjTrans : CblasNoTrans),
('T' == transb) ? CblasTrans : (('C' == transb) ? CblasConjTrans : CblasNoTrans),
M, N, K, (void*)(&alpha), (void*)A, lda, (void*)B, ldb, (void*)(&beta), (void*)C, ldc);
}
void blas2_cgemv(char trans, long M, long N, const complex float* alpha, long lda, const complex float* A, long incx, const complex float* x, complex float* beta, long incy, complex float* y)
{
#ifdef USE_CUDA
if (cuda_ondevice(A)) {
cublas_set_pointer_device();
cublasCgemv(get_handle(), cublas_trans(trans), M, N, (const cuComplex*)alpha,
(const cuComplex*)A, lda, (const cuComplex*)x, incx, (const cuComplex*)beta, (cuComplex*)y, incy);
return;
}
#endif
openblas_set_threads();
cblas_cgemv(CblasColMajor, ('T' == trans) ? CblasTrans : (('C' == trans) ? CblasConjTrans : CblasNoTrans),
M, N, (void*)alpha, (void*)A, lda, (void*)x, incx, (void*)beta, (void*)y, incy);
}
void blas_cgemv(char trans, long M, long N, complex float alpha, long lda, const complex float* A, long incx, const complex float* x, complex float beta, long incy, complex float* y)
{
#ifdef USE_CUDA
if (cuda_ondevice(A)) {
cublas_set_pointer_host();
cublasCgemv(get_handle(), cublas_trans(trans), M, N, (const cuComplex*)&alpha,
(const cuComplex*)A, lda, (const cuComplex*)x, incx, (const cuComplex*)&beta, (cuComplex*)y, incy);
return;
}
#endif
openblas_set_threads();
cblas_cgemv(CblasColMajor, ('T' == trans) ? CblasTrans : (('C' == trans) ? CblasConjTrans : CblasNoTrans),
M, N, (void*)&alpha, (void*)A, lda, (void*)x, incx, (void*)&beta, (void*)y, incy);
}
void blas2_cgeru(long M, long N, const complex float* alpha, long incx, const complex float* x, long incy, const complex float* y, long lda, complex float* A)
{
#ifdef USE_CUDA
if (cuda_ondevice(A)) {
cublas_set_pointer_device();
cublasCgeru(get_handle(), M, N, (const cuComplex*)alpha,
(const cuComplex*)x, incx, (const cuComplex*)y, incy, (cuComplex*)A, lda);
return;
}
#endif
openblas_set_threads();
cblas_cgeru(CblasColMajor, M, N, alpha, x, incx, y, incy, A, lda);
}
void blas_cgeru(long M, long N, complex float alpha, long incx, const complex float* x, long incy, const complex float* y, long lda, complex float* A)
{
#ifdef USE_CUDA
if (cuda_ondevice(A)) {
cublas_set_pointer_host();
cublasCgeru(get_handle(), M, N, (const cuComplex*)&alpha,
(const cuComplex*)x, incx, (const cuComplex*)y, incy, (cuComplex*)A, lda);
return;
}
#endif
openblas_set_threads();
cblas_cgeru(CblasColMajor, M, N, &alpha, x, incx, y, incy, (float*)A, lda);
}
void blas2_caxpy(long N, const complex float* alpha, long incx, const complex float* x, long incy, complex float* y)
{
#ifdef USE_CUDA
if (cuda_ondevice(x)) {
cublas_set_pointer_device();
cublasCaxpy(get_handle(), N, (const cuComplex*)alpha, (const cuComplex*)x, incx, (cuComplex*)y, incy);
return;
}
#endif
openblas_set_threads();
cblas_caxpy(N, alpha, x, incx, y, incy);
}
void blas_caxpy(long N, const complex float alpha, long incx, const complex float* x, long incy, complex float* y)
{
#ifdef USE_CUDA
if (cuda_ondevice(x)) {
cublas_set_pointer_host();
cublasCaxpy(get_handle(), N, (const cuComplex*)&alpha, (const cuComplex*)x, incx, (cuComplex*)y, incy);
return;
}
#endif
openblas_set_threads();
cblas_caxpy(N, &alpha, x, incx, y, incy);
}
void blas2_cscal(long N, const complex float* alpha, long incx, complex float* x)
{
#ifdef USE_CUDA
if (cuda_ondevice(x)) {
cublas_set_pointer_device();
cublasCscal(get_handle(), N, (const cuComplex*)alpha, (cuComplex*)x, incx);
return;
}
#endif
openblas_set_threads();
cblas_cscal(N, alpha, x, incx);
}
void blas_cscal(long N, const complex float alpha, long incx, complex float* x)
{
#ifdef USE_CUDA
if (cuda_ondevice(x)) {
cublas_set_pointer_host();
cublasCscal(get_handle(), N, (const cuComplex*)&alpha, (cuComplex*)x, incx);
return;
}
#endif
openblas_set_threads();
cblas_cscal(N, &alpha, x, incx);
}
void blas2_cdotu(complex float* result, long N, long incx, const complex float* x, long incy, const complex float* y)
{
#ifdef USE_CUDA
if (cuda_ondevice(x)) {
cublas_set_pointer_device();
cublasCdotu(get_handle(), N, (const cuComplex*)x, incx, (const cuComplex*)y, incy, (cuComplex*)result);
return;
}
#endif
openblas_set_threads();
cblas_cdotu_sub(N, x, incx, y, incy, (void*)result);
}
void blas2_sgemm(char transa, char transb, long M, long N, long K, const float* alpha, long lda, const float* A, long ldb, const float* B, const float* beta, long ldc, float* C)
{
#ifdef USE_CUDA
if (cuda_ondevice(A)) {
cublas_set_pointer_device();
cublasSgemm(get_handle(), cublas_trans(transa), cublas_trans(transb), M, N, K, alpha, A, lda, B, ldb, beta, C, ldc);
return;
}
#endif
openblas_set_threads();
cblas_sgemm(CblasColMajor, ('T' == transa) ? CblasTrans : (('C' == transa) ? CblasConjTrans : CblasNoTrans),
('T' == transb) ? CblasTrans : (('C' == transb) ? CblasConjTrans : CblasNoTrans),
M, N, K, *alpha, A, lda, B, ldb, *beta, C, ldc);
}
void blas_sgemm(char transa, char transb, long M, long N, long K, const float alpha, long lda, const float* A, long ldb, const float* B, const float beta, long ldc, float* C)
{
#ifdef USE_CUDA
if (cuda_ondevice(A)) {
cublas_set_pointer_host();
cublasSgemm(get_handle(), cublas_trans(transa), cublas_trans(transb), M, N, K, &alpha, A, lda, B, ldb, &beta, C, ldc);
return;
}
#endif
openblas_set_threads();
cblas_sgemm(CblasColMajor, ('T' == transa) ? CblasTrans : (('C' == transa) ? CblasConjTrans : CblasNoTrans),
('T' == transb) ? CblasTrans : (('C' == transb) ? CblasConjTrans : CblasNoTrans),
M, N, K, alpha, A, lda, B, ldb, beta, C, ldc);
}
void blas2_sgemv(char trans, long M, long N, const float* alpha, long lda, const float* A, long incx, const float* x, float* beta, long incy, float* y)
{
#ifdef USE_CUDA
if (cuda_ondevice(A)) {
cublas_set_pointer_device();
cublasSgemv(get_handle(), cublas_trans(trans), M, N, alpha,
(const float*)A, lda, x, incx, beta, y, incy);
return;
}
#endif
openblas_set_threads();
cblas_sgemv(CblasColMajor, ('T' == trans) ? CblasTrans : CblasNoTrans, M, N, *alpha,
(const float*)A, lda, x, incx, *beta, y, incy);
}
void blas_sgemv(char trans, long M, long N, const float alpha, long lda, const float* A, long incx, const float* x, float beta, long incy, float* y)
{
#ifdef USE_CUDA
if (cuda_ondevice(A)) {
cublas_set_pointer_host();
cublasSgemv(get_handle(), cublas_trans(trans), M, N, &alpha,
(const float*)A, lda, x, incx, &beta, y, incy);
return;
}
#endif
openblas_set_threads();
cblas_sgemv(CblasColMajor, ('T' == trans) ? CblasTrans : CblasNoTrans, M, N, alpha,
(const float*)A, lda, x, incx, beta, y, incy);
}
void blas2_sger(long M, long N, const float* alpha, long incx, const float* x, long incy, const float* y, long lda, float* A)
{
#ifdef USE_CUDA
if (cuda_ondevice(A)) {
cublas_set_pointer_device();
cublasSger(get_handle(), M, N, alpha, x, incx, y, incy, (float*)A, lda);
return;
}
#endif
openblas_set_threads();
cblas_sger(CblasColMajor, M, N, *alpha, x, incx, y, incy, (float*)A, lda);
}
void blas_sger(long M, long N, const float alpha, long incx, const float* x, long incy, const float* y, long lda, float* A)
{
#ifdef USE_CUDA
if (cuda_ondevice(A)) {
cublas_set_pointer_host();
cublasSger(get_handle(), M, N, &alpha, x, incx, y, incy, (float*)A, lda);
return;
}
#endif
openblas_set_threads();
cblas_sger(CblasColMajor, M, N, alpha, x, incx, y, incy, (float*)A, lda);
}
void blas2_saxpy(long N, const float* alpha, long incx, const float* x, long incy, float* y)
{
#ifdef USE_CUDA
if (cuda_ondevice(x)) {
cublas_set_pointer_device();
cublasSaxpy(get_handle(), N, alpha, x, incx, y, incy);
return;
}
#endif
openblas_set_threads();
cblas_saxpy(N, *alpha, x, incx, y, incy);
}
void blas_saxpy(long N, const float alpha, long incx, const float* x, long incy, float* y)
{
#ifdef USE_CUDA
if (cuda_ondevice(x)) {
cublas_set_pointer_host();
cublasSaxpy(get_handle(), N, &alpha, x, incx, y, incy);
return;
}
#endif
openblas_set_threads();
cblas_saxpy(N, alpha, x, incx, y, incy);
}
void blas2_sscal(long N, const float* alpha, long incx, float* x)
{
#ifdef USE_CUDA
if (cuda_ondevice(x)) {
cublas_set_pointer_device();
cublasSscal(get_handle(), N, alpha, x, incx);
return;
}
#endif
openblas_set_threads();
cblas_sscal(N, *alpha, x, incx);
}
void blas_sscal(long N, float alpha, long incx, float* x)
{
#ifdef USE_CUDA
if (cuda_ondevice(x)) {
cublas_set_pointer_host();
cublasSscal(get_handle(), N, &alpha, x, incx);
return;
}
#endif
openblas_set_threads();
cblas_sscal(N, alpha, x, incx);
}
void blas2_sdot(float* result, long N, long incx, const float* x, long incy, const float* y)
{
#ifdef USE_CUDA
if (cuda_ondevice(x)) {
cublas_set_pointer_device();
cublasSdot(get_handle(), N, x, incx, y, incy, result);
return;
}
#endif
openblas_set_threads();
*result = cblas_sdot(N, x, incx, y, incy);
}
void blas_cdgmm(long M, long N, _Bool left_mul, const complex float* A, long lda, const complex float* x, long incx, complex float* C, long ldc)
{
#ifdef USE_CUDA
if (cuda_ondevice(A)) {
cublasCdgmm(get_handle(), left_mul ? CUBLAS_SIDE_LEFT : CUBLAS_SIDE_RIGHT,
M, N, (const cuComplex*)A, lda, (const cuComplex*)x, incx, (cuComplex*)C, ldc);
return;
}
#endif
UNUSED(M);
UNUSED(N);
UNUSED(left_mul);
UNUSED(A);
UNUSED(lda);
UNUSED(x);
UNUSED(incx);
UNUSED(C);
UNUSED(ldc);
assert(0);
}
void blas_sdgmm(long M, long N, _Bool left_mul, const float* A, long lda, const float* x, long incx, float* C, long ldc)
{
#ifdef USE_CUDA
if (cuda_ondevice(A)) {
cublasSdgmm(get_handle(), left_mul ? CUBLAS_SIDE_LEFT : CUBLAS_SIDE_RIGHT,
M, N, A, lda, x, incx, C, ldc);
return;
}
#endif
UNUSED(M);
UNUSED(N);
UNUSED(left_mul);
UNUSED(A);
UNUSED(lda);
UNUSED(x);
UNUSED(incx);
UNUSED(C);
UNUSED(ldc);
assert(0);
}
//B = alpha * op(A)
void blas_cmatcopy(char trans, long M, long N, complex float alpha, const complex float* A, long lda, complex float* B, long ldb)
{
#ifdef USE_CUDA
if (cuda_ondevice(A)) {
cublas_set_pointer_host();
complex float zero = 0.;
cublasCgeam(get_handle(), cublas_trans(trans), cublas_trans('N'),
M, N, (const cuComplex*)&alpha, (const cuComplex*)A, lda, (const cuComplex*)&zero, (const cuComplex*)B, ldb, (cuComplex*)B, ldb);
return;
}
#endif
UNUSED(trans);
UNUSED(M);
UNUSED(N);
UNUSED(alpha);
UNUSED(lda);
UNUSED(A);
UNUSED(ldb);
UNUSED(B);
assert(0);
}
//B = alpha * op(A)
void blas2_cmatcopy(char trans, long M, long N, const complex float* alpha, const complex float* A, long lda, complex float* B, long ldb)
{
#ifdef USE_CUDA
if (cuda_ondevice(A)) {
cublas_set_pointer_host();
complex float* zero = cuda_malloc(8);
cuda_clear(8, zero);
cublasCgeam(get_handle(), cublas_trans(trans), cublas_trans('N'),
M, N, (const cuComplex*)alpha, (const cuComplex*)A, lda, (const cuComplex*)zero, (const cuComplex*)B, ldb, (cuComplex*)B, ldb);
cuda_free(zero);
return;
}
#endif
UNUSED(trans);
UNUSED(M);
UNUSED(N);
UNUSED(alpha);
UNUSED(lda);
UNUSED(A);
UNUSED(ldb);
UNUSED(B);
assert(0);
}
//B = alpha * op(A)
void blas_smatcopy(char trans, long M, long N, float alpha, const float* A, long lda, float* B, long ldb)
{
#ifdef USE_CUDA
if (cuda_ondevice(A)) {
cublas_set_pointer_host();
float zero = 0.;
cublasSgeam(get_handle(), cublas_trans(trans), cublas_trans('N'),
M, N, &alpha, A, lda, &zero, B, ldb, B, ldb);
return;
}
#endif
UNUSED(trans);
UNUSED(M);
UNUSED(N);
UNUSED(alpha);
UNUSED(lda);
UNUSED(A);
UNUSED(ldb);
UNUSED(B);
assert(0);
}
//B = alpha * op(A)
void blas2_smatcopy(char trans, long M, long N, const float* alpha, const float* A, long lda, float* B, long ldb)
{
#ifdef USE_CUDA
if (cuda_ondevice(A)) {
cublas_set_pointer_host();
float* zero = cuda_malloc(4);
cuda_clear(4, zero);
cublasSgeam(get_handle(), cublas_trans(trans), cublas_trans('N'),
M, N, alpha, A, lda, zero, B, ldb, B, ldb);
cuda_free(zero);
return;
}
#endif
UNUSED(trans);
UNUSED(M);
UNUSED(N);
UNUSED(alpha);
UNUSED(lda);
UNUSED(A);
UNUSED(ldb);
UNUSED(B);
assert(0);
}
void blas_csyrk(char uplo, char trans, long N, long K, const complex float alpha, long lda, const complex float A[][lda], complex float beta, long ldc, complex float C[][ldc])
{
assert('U' == uplo);
assert(('T' == trans) || ('N' == trans));
cblas_csyrk(CblasColMajor, CblasUpper, ('T' == trans) ? CblasTrans : CblasNoTrans, N, K, (void*)&alpha, (void*)A, lda, (void*)&beta, (void*)C, ldc);
}
void blas_sger_fmac(long M, long N, float* A, const float* x, const float* y)
{
blas_sger(M, N, 1., 1, x, 1, y, M, A);
}
void blas_gemv_zfmac(long M, long N, complex float* y, const complex float* A, char trans, const complex float* x)
{
assert((trans == 'N') || (trans == 'T') || (trans == 'C'));
blas_cgemv(trans,M, N, 1., M, A, 1, x, 1., 1, y);
}
void blas_gemv_fmac(long M, long N, float* y, const float* A, char trans, const float* x)
{
assert((trans == 'N') || (trans == 'T'));
blas_sgemv(trans,M, N, 1., M, A, 1, x, 1., 1, y);
}
void blas_matrix_multiply(long M, long N, long K, complex float C[N][M], const complex float A[K][M], const complex float B[N][K])
{
blas_cgemm('N', 'N', M, N, K, 1. , M, (const complex float*)A, K, (const complex float*)B, 0., M, (complex float*)C);
}
void blas_matrix_zfmac(long M, long N, long K, complex float* C, const complex float* A, char transa, const complex float* B, char transb)
{
assert((transa == 'N') || (transa == 'T') || (transa == 'C'));
assert((transb == 'N') || (transb == 'T') || (transb == 'C'));
long lda = (transa == 'N' ? M: K);
long ldb = (transb == 'N' ? K: N);
blas_cgemm(transa, transb, M, N, K, 1., lda, A, ldb, B, 1., M, C);
}
|
Sema.h | //===--- Sema.h - Semantic Analysis & AST Building --------------*- C++ -*-===//
//
// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
//===----------------------------------------------------------------------===//
//
// This file defines the Sema class, which performs semantic analysis and
// builds ASTs.
//
//===----------------------------------------------------------------------===//
#ifndef LLVM_CLANG_SEMA_SEMA_H
#define LLVM_CLANG_SEMA_SEMA_H
#include "clang/AST/ASTConcept.h"
#include "clang/AST/ASTFwd.h"
#include "clang/AST/Attr.h"
#include "clang/AST/Availability.h"
#include "clang/AST/ComparisonCategories.h"
#include "clang/AST/DeclTemplate.h"
#include "clang/AST/DeclarationName.h"
#include "clang/AST/Expr.h"
#include "clang/AST/ExprCXX.h"
#include "clang/AST/ExprConcepts.h"
#include "clang/AST/ExprObjC.h"
#include "clang/AST/ExprOpenMP.h"
#include "clang/AST/ExternalASTSource.h"
#include "clang/AST/LocInfoType.h"
#include "clang/AST/MangleNumberingContext.h"
#include "clang/AST/NSAPI.h"
#include "clang/AST/PrettyPrinter.h"
#include "clang/AST/StmtCXX.h"
#include "clang/AST/StmtOpenMP.h"
#include "clang/AST/TypeLoc.h"
#include "clang/APINotes/APINotesManager.h"
#include "clang/AST/TypeOrdering.h"
#include "clang/Basic/BitmaskEnum.h"
#include "clang/Basic/Builtins.h"
#include "clang/Basic/DarwinSDKInfo.h"
#include "clang/Basic/ExpressionTraits.h"
#include "clang/Basic/Module.h"
#include "clang/Basic/OpenCLOptions.h"
#include "clang/Basic/OpenMPKinds.h"
#include "clang/Basic/PragmaKinds.h"
#include "clang/Basic/Specifiers.h"
#include "clang/Basic/TemplateKinds.h"
#include "clang/Basic/TypeTraits.h"
#include "clang/Sema/AnalysisBasedWarnings.h"
#include "clang/Sema/CleanupInfo.h"
#include "clang/Sema/DeclSpec.h"
#include "clang/Sema/ExternalSemaSource.h"
#include "clang/Sema/IdentifierResolver.h"
#include "clang/Sema/ObjCMethodList.h"
#include "clang/Sema/Ownership.h"
#include "clang/Sema/Scope.h"
#include "clang/Sema/SemaConcept.h"
#include "clang/Sema/TypoCorrection.h"
#include "clang/Sema/Weak.h"
#include "llvm/ADT/ArrayRef.h"
#include "llvm/ADT/Optional.h"
#include "llvm/ADT/SetVector.h"
#include "llvm/ADT/SmallBitVector.h"
#include "llvm/ADT/SmallPtrSet.h"
#include "llvm/ADT/SmallSet.h"
#include "llvm/ADT/SmallVector.h"
#include "llvm/ADT/TinyPtrVector.h"
#include "llvm/Frontend/OpenMP/OMPConstants.h"
#include <deque>
#include <functional>
#include <memory>
#include <string>
#include <tuple>
#include <vector>
namespace llvm {
class APSInt;
template <typename ValueT, typename ValueInfoT> class DenseSet;
class SmallBitVector;
struct InlineAsmIdentifierInfo;
}
namespace clang {
class ADLResult;
class ASTConsumer;
class ASTContext;
class ASTMutationListener;
class ASTReader;
class ASTWriter;
class ArrayType;
class ParsedAttr;
class BindingDecl;
class BlockDecl;
class CapturedDecl;
class CXXBasePath;
class CXXBasePaths;
class CXXBindTemporaryExpr;
typedef SmallVector<CXXBaseSpecifier*, 4> CXXCastPath;
class CXXConstructorDecl;
class CXXConversionDecl;
class CXXDeleteExpr;
class CXXDestructorDecl;
class CXXFieldCollector;
class CXXMemberCallExpr;
class CXXMethodDecl;
class CXXScopeSpec;
class CXXTemporary;
class CXXTryStmt;
class CallExpr;
class ClassTemplateDecl;
class ClassTemplatePartialSpecializationDecl;
class ClassTemplateSpecializationDecl;
class VarTemplatePartialSpecializationDecl;
class CodeCompleteConsumer;
class CodeCompletionAllocator;
class CodeCompletionTUInfo;
class CodeCompletionResult;
class CoroutineBodyStmt;
class Decl;
class DeclAccessPair;
class DeclContext;
class DeclRefExpr;
class DeclaratorDecl;
class DeducedTemplateArgument;
class DependentDiagnostic;
class DesignatedInitExpr;
class Designation;
class EnableIfAttr;
class EnumConstantDecl;
class Expr;
class ExtVectorType;
class FormatAttr;
class FriendDecl;
class FunctionDecl;
class FunctionProtoType;
class FunctionTemplateDecl;
class ImplicitConversionSequence;
typedef MutableArrayRef<ImplicitConversionSequence> ConversionSequenceList;
class InitListExpr;
class InitializationKind;
class InitializationSequence;
class InitializedEntity;
class IntegerLiteral;
class LabelStmt;
class LambdaExpr;
class LangOptions;
class LocalInstantiationScope;
class LookupResult;
class MacroInfo;
typedef ArrayRef<std::pair<IdentifierInfo *, SourceLocation>> ModuleIdPath;
class ModuleLoader;
class MultiLevelTemplateArgumentList;
class NamedDecl;
class ObjCCategoryDecl;
class ObjCCategoryImplDecl;
class ObjCCompatibleAliasDecl;
class ObjCContainerDecl;
class ObjCImplDecl;
class ObjCImplementationDecl;
class ObjCInterfaceDecl;
class ObjCIvarDecl;
template <class T> class ObjCList;
class ObjCMessageExpr;
class ObjCMethodDecl;
class ObjCPropertyDecl;
class ObjCProtocolDecl;
class OMPThreadPrivateDecl;
class OMPRequiresDecl;
class OMPDeclareReductionDecl;
class OMPDeclareSimdDecl;
class OMPClause;
struct OMPVarListLocTy;
struct OverloadCandidate;
enum class OverloadCandidateParamOrder : char;
enum OverloadCandidateRewriteKind : unsigned;
class OverloadCandidateSet;
class OverloadExpr;
class ParenListExpr;
class ParmVarDecl;
class Preprocessor;
class PseudoDestructorTypeStorage;
class PseudoObjectExpr;
class QualType;
class StandardConversionSequence;
class Stmt;
class StringLiteral;
class SwitchStmt;
class TemplateArgument;
class TemplateArgumentList;
class TemplateArgumentLoc;
class TemplateDecl;
class TemplateInstantiationCallback;
class TemplateParameterList;
class TemplatePartialOrderingContext;
class TemplateTemplateParmDecl;
class Token;
class TypeAliasDecl;
class TypedefDecl;
class TypedefNameDecl;
class TypeLoc;
class TypoCorrectionConsumer;
class UnqualifiedId;
class UnresolvedLookupExpr;
class UnresolvedMemberExpr;
class UnresolvedSetImpl;
class UnresolvedSetIterator;
class UsingDecl;
class UsingShadowDecl;
class ValueDecl;
class VarDecl;
class VarTemplateSpecializationDecl;
class VisibilityAttr;
class VisibleDeclConsumer;
class IndirectFieldDecl;
struct DeductionFailureInfo;
class TemplateSpecCandidateSet;
namespace sema {
class AccessedEntity;
class BlockScopeInfo;
class Capture;
class CapturedRegionScopeInfo;
class CapturingScopeInfo;
class CompoundScopeInfo;
class DelayedDiagnostic;
class DelayedDiagnosticPool;
class FunctionScopeInfo;
class LambdaScopeInfo;
class PossiblyUnreachableDiag;
class SemaPPCallbacks;
class TemplateDeductionInfo;
}
namespace threadSafety {
class BeforeSet;
void threadSafetyCleanup(BeforeSet* Cache);
}
// FIXME: No way to easily map from TemplateTypeParmTypes to
// TemplateTypeParmDecls, so we have this horrible PointerUnion.
typedef std::pair<llvm::PointerUnion<const TemplateTypeParmType*, NamedDecl*>,
SourceLocation> UnexpandedParameterPack;
/// Describes whether we've seen any nullability information for the given
/// file.
struct FileNullability {
/// The first pointer declarator (of any pointer kind) in the file that does
/// not have a corresponding nullability annotation.
SourceLocation PointerLoc;
/// The end location for the first pointer declarator in the file. Used for
/// placing fix-its.
SourceLocation PointerEndLoc;
/// Which kind of pointer declarator we saw.
uint8_t PointerKind;
/// Whether we saw any type nullability annotations in the given file.
bool SawTypeNullability = false;
};
/// A mapping from file IDs to a record of whether we've seen nullability
/// information in that file.
class FileNullabilityMap {
/// A mapping from file IDs to the nullability information for each file ID.
llvm::DenseMap<FileID, FileNullability> Map;
/// A single-element cache based on the file ID.
struct {
FileID File;
FileNullability Nullability;
} Cache;
public:
FileNullability &operator[](FileID file) {
// Check the single-element cache.
if (file == Cache.File)
return Cache.Nullability;
// It's not in the single-element cache; flush the cache if we have one.
if (!Cache.File.isInvalid()) {
Map[Cache.File] = Cache.Nullability;
}
// Pull this entry into the cache.
Cache.File = file;
Cache.Nullability = Map[file];
return Cache.Nullability;
}
};
/// Tracks expected type during expression parsing, for use in code completion.
/// The type is tied to a particular token, all functions that update or consume
/// the type take a start location of the token they are looking at as a
/// parameter. This avoids updating the type on hot paths in the parser.
class PreferredTypeBuilder {
public:
PreferredTypeBuilder(bool Enabled) : Enabled(Enabled) {}
void enterCondition(Sema &S, SourceLocation Tok);
void enterReturn(Sema &S, SourceLocation Tok);
void enterVariableInit(SourceLocation Tok, Decl *D);
/// Handles e.g. BaseType{ .D = Tok...
void enterDesignatedInitializer(SourceLocation Tok, QualType BaseType,
const Designation &D);
/// Computing a type for the function argument may require running
/// overloading, so we postpone its computation until it is actually needed.
///
/// Clients should be very careful when using this funciton, as it stores a
/// function_ref, clients should make sure all calls to get() with the same
/// location happen while function_ref is alive.
///
/// The callback should also emit signature help as a side-effect, but only
/// if the completion point has been reached.
void enterFunctionArgument(SourceLocation Tok,
llvm::function_ref<QualType()> ComputeType);
void enterParenExpr(SourceLocation Tok, SourceLocation LParLoc);
void enterUnary(Sema &S, SourceLocation Tok, tok::TokenKind OpKind,
SourceLocation OpLoc);
void enterBinary(Sema &S, SourceLocation Tok, Expr *LHS, tok::TokenKind Op);
void enterMemAccess(Sema &S, SourceLocation Tok, Expr *Base);
void enterSubscript(Sema &S, SourceLocation Tok, Expr *LHS);
/// Handles all type casts, including C-style cast, C++ casts, etc.
void enterTypeCast(SourceLocation Tok, QualType CastType);
/// Get the expected type associated with this location, if any.
///
/// If the location is a function argument, determining the expected type
/// involves considering all function overloads and the arguments so far.
/// In this case, signature help for these function overloads will be reported
/// as a side-effect (only if the completion point has been reached).
QualType get(SourceLocation Tok) const {
if (!Enabled || Tok != ExpectedLoc)
return QualType();
if (!Type.isNull())
return Type;
if (ComputeType)
return ComputeType();
return QualType();
}
private:
bool Enabled;
/// Start position of a token for which we store expected type.
SourceLocation ExpectedLoc;
/// Expected type for a token starting at ExpectedLoc.
QualType Type;
/// A function to compute expected type at ExpectedLoc. It is only considered
/// if Type is null.
llvm::function_ref<QualType()> ComputeType;
};
/// Sema - This implements semantic analysis and AST building for C.
class Sema final {
Sema(const Sema &) = delete;
void operator=(const Sema &) = delete;
///Source of additional semantic information.
ExternalSemaSource *ExternalSource;
///Whether Sema has generated a multiplexer and has to delete it.
bool isMultiplexExternalSource;
static bool mightHaveNonExternalLinkage(const DeclaratorDecl *FD);
bool isVisibleSlow(const NamedDecl *D);
/// Determine whether two declarations should be linked together, given that
/// the old declaration might not be visible and the new declaration might
/// not have external linkage.
bool shouldLinkPossiblyHiddenDecl(const NamedDecl *Old,
const NamedDecl *New) {
if (isVisible(Old))
return true;
// See comment in below overload for why it's safe to compute the linkage
// of the new declaration here.
if (New->isExternallyDeclarable()) {
assert(Old->isExternallyDeclarable() &&
"should not have found a non-externally-declarable previous decl");
return true;
}
return false;
}
bool shouldLinkPossiblyHiddenDecl(LookupResult &Old, const NamedDecl *New);
void setupImplicitSpecialMemberType(CXXMethodDecl *SpecialMem,
QualType ResultTy,
ArrayRef<QualType> Args);
public:
/// The maximum alignment, same as in llvm::Value. We duplicate them here
/// because that allows us not to duplicate the constants in clang code,
/// which we must to since we can't directly use the llvm constants.
/// The value is verified against llvm here: lib/CodeGen/CGDecl.cpp
///
/// This is the greatest alignment value supported by load, store, and alloca
/// instructions, and global values.
static const unsigned MaxAlignmentExponent = 32;
static const uint64_t MaximumAlignment = 1ull << MaxAlignmentExponent;
typedef OpaquePtr<DeclGroupRef> DeclGroupPtrTy;
typedef OpaquePtr<TemplateName> TemplateTy;
typedef OpaquePtr<QualType> TypeTy;
OpenCLOptions OpenCLFeatures;
FPOptions CurFPFeatures;
const LangOptions &LangOpts;
Preprocessor &PP;
ASTContext &Context;
ASTConsumer &Consumer;
DiagnosticsEngine &Diags;
SourceManager &SourceMgr;
api_notes::APINotesManager APINotes;
/// Flag indicating whether or not to collect detailed statistics.
bool CollectStats;
/// Code-completion consumer.
CodeCompleteConsumer *CodeCompleter;
/// CurContext - This is the current declaration context of parsing.
DeclContext *CurContext;
/// Generally null except when we temporarily switch decl contexts,
/// like in \see ActOnObjCTemporaryExitContainerContext.
DeclContext *OriginalLexicalContext;
/// VAListTagName - The declaration name corresponding to __va_list_tag.
/// This is used as part of a hack to omit that class from ADL results.
DeclarationName VAListTagName;
bool MSStructPragmaOn; // True when \#pragma ms_struct on
/// Controls member pointer representation format under the MS ABI.
LangOptions::PragmaMSPointersToMembersKind
MSPointerToMemberRepresentationMethod;
/// Stack of active SEH __finally scopes. Can be empty.
SmallVector<Scope*, 2> CurrentSEHFinally;
/// Source location for newly created implicit MSInheritanceAttrs
SourceLocation ImplicitMSInheritanceAttrLoc;
/// Holds TypoExprs that are created from `createDelayedTypo`. This is used by
/// `TransformTypos` in order to keep track of any TypoExprs that are created
/// recursively during typo correction and wipe them away if the correction
/// fails.
llvm::SmallVector<TypoExpr *, 2> TypoExprs;
/// pragma clang section kind
enum PragmaClangSectionKind {
PCSK_Invalid = 0,
PCSK_BSS = 1,
PCSK_Data = 2,
PCSK_Rodata = 3,
PCSK_Text = 4,
PCSK_Relro = 5
};
enum PragmaClangSectionAction {
PCSA_Set = 0,
PCSA_Clear = 1
};
struct PragmaClangSection {
std::string SectionName;
bool Valid = false;
SourceLocation PragmaLocation;
};
PragmaClangSection PragmaClangBSSSection;
PragmaClangSection PragmaClangDataSection;
PragmaClangSection PragmaClangRodataSection;
PragmaClangSection PragmaClangRelroSection;
PragmaClangSection PragmaClangTextSection;
enum PragmaMsStackAction {
PSK_Reset = 0x0, // #pragma ()
PSK_Set = 0x1, // #pragma (value)
PSK_Push = 0x2, // #pragma (push[, id])
PSK_Pop = 0x4, // #pragma (pop[, id])
PSK_Show = 0x8, // #pragma (show) -- only for "pack"!
PSK_Push_Set = PSK_Push | PSK_Set, // #pragma (push[, id], value)
PSK_Pop_Set = PSK_Pop | PSK_Set, // #pragma (pop[, id], value)
};
// #pragma pack and align.
class AlignPackInfo {
public:
// `Native` represents default align mode, which may vary based on the
// platform.
enum Mode : unsigned char { Native, Natural, Packed, Mac68k };
// #pragma pack info constructor
AlignPackInfo(AlignPackInfo::Mode M, unsigned Num, bool IsXL)
: PackAttr(true), AlignMode(M), PackNumber(Num), XLStack(IsXL) {
assert(Num == PackNumber && "The pack number has been truncated.");
}
// #pragma align info constructor
AlignPackInfo(AlignPackInfo::Mode M, bool IsXL)
: PackAttr(false), AlignMode(M),
PackNumber(M == Packed ? 1 : UninitPackVal), XLStack(IsXL) {}
explicit AlignPackInfo(bool IsXL) : AlignPackInfo(Native, IsXL) {}
AlignPackInfo() : AlignPackInfo(Native, false) {}
// When a AlignPackInfo itself cannot be used, this returns an 32-bit
// integer encoding for it. This should only be passed to
// AlignPackInfo::getFromRawEncoding, it should not be inspected directly.
static uint32_t getRawEncoding(const AlignPackInfo &Info) {
std::uint32_t Encoding{};
if (Info.IsXLStack())
Encoding |= IsXLMask;
Encoding |= static_cast<uint32_t>(Info.getAlignMode()) << 1;
if (Info.IsPackAttr())
Encoding |= PackAttrMask;
Encoding |= static_cast<uint32_t>(Info.getPackNumber()) << 4;
return Encoding;
}
static AlignPackInfo getFromRawEncoding(unsigned Encoding) {
bool IsXL = static_cast<bool>(Encoding & IsXLMask);
AlignPackInfo::Mode M =
static_cast<AlignPackInfo::Mode>((Encoding & AlignModeMask) >> 1);
int PackNumber = (Encoding & PackNumMask) >> 4;
if (Encoding & PackAttrMask)
return AlignPackInfo(M, PackNumber, IsXL);
return AlignPackInfo(M, IsXL);
}
bool IsPackAttr() const { return PackAttr; }
bool IsAlignAttr() const { return !PackAttr; }
Mode getAlignMode() const { return AlignMode; }
unsigned getPackNumber() const { return PackNumber; }
bool IsPackSet() const {
// #pragma align, #pragma pack(), and #pragma pack(0) do not set the pack
// attriute on a decl.
return PackNumber != UninitPackVal && PackNumber != 0;
}
bool IsXLStack() const { return XLStack; }
bool operator==(const AlignPackInfo &Info) const {
return std::tie(AlignMode, PackNumber, PackAttr, XLStack) ==
std::tie(Info.AlignMode, Info.PackNumber, Info.PackAttr,
Info.XLStack);
}
bool operator!=(const AlignPackInfo &Info) const {
return !(*this == Info);
}
private:
/// \brief True if this is a pragma pack attribute,
/// not a pragma align attribute.
bool PackAttr;
/// \brief The alignment mode that is in effect.
Mode AlignMode;
/// \brief The pack number of the stack.
unsigned char PackNumber;
/// \brief True if it is a XL #pragma align/pack stack.
bool XLStack;
/// \brief Uninitialized pack value.
static constexpr unsigned char UninitPackVal = -1;
// Masks to encode and decode an AlignPackInfo.
static constexpr uint32_t IsXLMask{0x0000'0001};
static constexpr uint32_t AlignModeMask{0x0000'0006};
static constexpr uint32_t PackAttrMask{0x00000'0008};
static constexpr uint32_t PackNumMask{0x0000'01F0};
};
template<typename ValueType>
struct PragmaStack {
struct Slot {
llvm::StringRef StackSlotLabel;
ValueType Value;
SourceLocation PragmaLocation;
SourceLocation PragmaPushLocation;
Slot(llvm::StringRef StackSlotLabel, ValueType Value,
SourceLocation PragmaLocation, SourceLocation PragmaPushLocation)
: StackSlotLabel(StackSlotLabel), Value(Value),
PragmaLocation(PragmaLocation),
PragmaPushLocation(PragmaPushLocation) {}
};
void Act(SourceLocation PragmaLocation, PragmaMsStackAction Action,
llvm::StringRef StackSlotLabel, ValueType Value) {
if (Action == PSK_Reset) {
CurrentValue = DefaultValue;
CurrentPragmaLocation = PragmaLocation;
return;
}
if (Action & PSK_Push)
Stack.emplace_back(StackSlotLabel, CurrentValue, CurrentPragmaLocation,
PragmaLocation);
else if (Action & PSK_Pop) {
if (!StackSlotLabel.empty()) {
// If we've got a label, try to find it and jump there.
auto I = llvm::find_if(llvm::reverse(Stack), [&](const Slot &x) {
return x.StackSlotLabel == StackSlotLabel;
});
// If we found the label so pop from there.
if (I != Stack.rend()) {
CurrentValue = I->Value;
CurrentPragmaLocation = I->PragmaLocation;
Stack.erase(std::prev(I.base()), Stack.end());
}
} else if (!Stack.empty()) {
// We do not have a label, just pop the last entry.
CurrentValue = Stack.back().Value;
CurrentPragmaLocation = Stack.back().PragmaLocation;
Stack.pop_back();
}
}
if (Action & PSK_Set) {
CurrentValue = Value;
CurrentPragmaLocation = PragmaLocation;
}
}
// MSVC seems to add artificial slots to #pragma stacks on entering a C++
// method body to restore the stacks on exit, so it works like this:
//
// struct S {
// #pragma <name>(push, InternalPragmaSlot, <current_pragma_value>)
// void Method {}
// #pragma <name>(pop, InternalPragmaSlot)
// };
//
// It works even with #pragma vtordisp, although MSVC doesn't support
// #pragma vtordisp(push [, id], n)
// syntax.
//
// Push / pop a named sentinel slot.
void SentinelAction(PragmaMsStackAction Action, StringRef Label) {
assert((Action == PSK_Push || Action == PSK_Pop) &&
"Can only push / pop #pragma stack sentinels!");
Act(CurrentPragmaLocation, Action, Label, CurrentValue);
}
// Constructors.
explicit PragmaStack(const ValueType &Default)
: DefaultValue(Default), CurrentValue(Default) {}
bool hasValue() const { return CurrentValue != DefaultValue; }
SmallVector<Slot, 2> Stack;
ValueType DefaultValue; // Value used for PSK_Reset action.
ValueType CurrentValue;
SourceLocation CurrentPragmaLocation;
};
// FIXME: We should serialize / deserialize these if they occur in a PCH (but
// we shouldn't do so if they're in a module).
/// Whether to insert vtordisps prior to virtual bases in the Microsoft
/// C++ ABI. Possible values are 0, 1, and 2, which mean:
///
/// 0: Suppress all vtordisps
/// 1: Insert vtordisps in the presence of vbase overrides and non-trivial
/// structors
/// 2: Always insert vtordisps to support RTTI on partially constructed
/// objects
PragmaStack<MSVtorDispMode> VtorDispStack;
PragmaStack<AlignPackInfo> AlignPackStack;
// The current #pragma align/pack values and locations at each #include.
struct AlignPackIncludeState {
AlignPackInfo CurrentValue;
SourceLocation CurrentPragmaLocation;
bool HasNonDefaultValue, ShouldWarnOnInclude;
};
SmallVector<AlignPackIncludeState, 8> AlignPackIncludeStack;
// Segment #pragmas.
PragmaStack<StringLiteral *> DataSegStack;
PragmaStack<StringLiteral *> BSSSegStack;
PragmaStack<StringLiteral *> ConstSegStack;
PragmaStack<StringLiteral *> CodeSegStack;
// This stack tracks the current state of Sema.CurFPFeatures.
PragmaStack<FPOptionsOverride> FpPragmaStack;
FPOptionsOverride CurFPFeatureOverrides() {
FPOptionsOverride result;
if (!FpPragmaStack.hasValue()) {
result = FPOptionsOverride();
} else {
result = FpPragmaStack.CurrentValue;
}
return result;
}
// RAII object to push / pop sentinel slots for all MS #pragma stacks.
// Actions should be performed only if we enter / exit a C++ method body.
class PragmaStackSentinelRAII {
public:
PragmaStackSentinelRAII(Sema &S, StringRef SlotLabel, bool ShouldAct);
~PragmaStackSentinelRAII();
private:
Sema &S;
StringRef SlotLabel;
bool ShouldAct;
};
/// A mapping that describes the nullability we've seen in each header file.
FileNullabilityMap NullabilityMap;
/// Last section used with #pragma init_seg.
StringLiteral *CurInitSeg;
SourceLocation CurInitSegLoc;
/// VisContext - Manages the stack for \#pragma GCC visibility.
void *VisContext; // Really a "PragmaVisStack*"
/// This an attribute introduced by \#pragma clang attribute.
struct PragmaAttributeEntry {
SourceLocation Loc;
ParsedAttr *Attribute;
SmallVector<attr::SubjectMatchRule, 4> MatchRules;
bool IsUsed;
};
/// A push'd group of PragmaAttributeEntries.
struct PragmaAttributeGroup {
/// The location of the push attribute.
SourceLocation Loc;
/// The namespace of this push group.
const IdentifierInfo *Namespace;
SmallVector<PragmaAttributeEntry, 2> Entries;
};
SmallVector<PragmaAttributeGroup, 2> PragmaAttributeStack;
/// The declaration that is currently receiving an attribute from the
/// #pragma attribute stack.
const Decl *PragmaAttributeCurrentTargetDecl;
/// This represents the last location of a "#pragma clang optimize off"
/// directive if such a directive has not been closed by an "on" yet. If
/// optimizations are currently "on", this is set to an invalid location.
SourceLocation OptimizeOffPragmaLocation;
/// Flag indicating if Sema is building a recovery call expression.
///
/// This flag is used to avoid building recovery call expressions
/// if Sema is already doing so, which would cause infinite recursions.
bool IsBuildingRecoveryCallExpr;
/// Used to control the generation of ExprWithCleanups.
CleanupInfo Cleanup;
/// ExprCleanupObjects - This is the stack of objects requiring
/// cleanup that are created by the current full expression.
SmallVector<ExprWithCleanups::CleanupObject, 8> ExprCleanupObjects;
/// Store a set of either DeclRefExprs or MemberExprs that contain a reference
/// to a variable (constant) that may or may not be odr-used in this Expr, and
/// we won't know until all lvalue-to-rvalue and discarded value conversions
/// have been applied to all subexpressions of the enclosing full expression.
/// This is cleared at the end of each full expression.
using MaybeODRUseExprSet = llvm::SetVector<Expr *, SmallVector<Expr *, 4>,
llvm::SmallPtrSet<Expr *, 4>>;
MaybeODRUseExprSet MaybeODRUseExprs;
std::unique_ptr<sema::FunctionScopeInfo> CachedFunctionScope;
/// Stack containing information about each of the nested
/// function, block, and method scopes that are currently active.
SmallVector<sema::FunctionScopeInfo *, 4> FunctionScopes;
/// The index of the first FunctionScope that corresponds to the current
/// context.
unsigned FunctionScopesStart = 0;
ArrayRef<sema::FunctionScopeInfo*> getFunctionScopes() const {
return llvm::makeArrayRef(FunctionScopes.begin() + FunctionScopesStart,
FunctionScopes.end());
}
/// Stack containing information needed when in C++2a an 'auto' is encountered
/// in a function declaration parameter type specifier in order to invent a
/// corresponding template parameter in the enclosing abbreviated function
/// template. This information is also present in LambdaScopeInfo, stored in
/// the FunctionScopes stack.
SmallVector<InventedTemplateParameterInfo, 4> InventedParameterInfos;
/// The index of the first InventedParameterInfo that refers to the current
/// context.
unsigned InventedParameterInfosStart = 0;
ArrayRef<InventedTemplateParameterInfo> getInventedParameterInfos() const {
return llvm::makeArrayRef(InventedParameterInfos.begin() +
InventedParameterInfosStart,
InventedParameterInfos.end());
}
typedef LazyVector<TypedefNameDecl *, ExternalSemaSource,
&ExternalSemaSource::ReadExtVectorDecls, 2, 2>
ExtVectorDeclsType;
/// ExtVectorDecls - This is a list all the extended vector types. This allows
/// us to associate a raw vector type with one of the ext_vector type names.
/// This is only necessary for issuing pretty diagnostics.
ExtVectorDeclsType ExtVectorDecls;
/// FieldCollector - Collects CXXFieldDecls during parsing of C++ classes.
std::unique_ptr<CXXFieldCollector> FieldCollector;
typedef llvm::SmallSetVector<NamedDecl *, 16> NamedDeclSetType;
/// Set containing all declared private fields that are not used.
NamedDeclSetType UnusedPrivateFields;
/// Set containing all typedefs that are likely unused.
llvm::SmallSetVector<const TypedefNameDecl *, 4>
UnusedLocalTypedefNameCandidates;
/// Delete-expressions to be analyzed at the end of translation unit
///
/// This list contains class members, and locations of delete-expressions
/// that could not be proven as to whether they mismatch with new-expression
/// used in initializer of the field.
typedef std::pair<SourceLocation, bool> DeleteExprLoc;
typedef llvm::SmallVector<DeleteExprLoc, 4> DeleteLocs;
llvm::MapVector<FieldDecl *, DeleteLocs> DeleteExprs;
typedef llvm::SmallPtrSet<const CXXRecordDecl*, 8> RecordDeclSetTy;
/// PureVirtualClassDiagSet - a set of class declarations which we have
/// emitted a list of pure virtual functions. Used to prevent emitting the
/// same list more than once.
std::unique_ptr<RecordDeclSetTy> PureVirtualClassDiagSet;
/// ParsingInitForAutoVars - a set of declarations with auto types for which
/// we are currently parsing the initializer.
llvm::SmallPtrSet<const Decl*, 4> ParsingInitForAutoVars;
/// Look for a locally scoped extern "C" declaration by the given name.
NamedDecl *findLocallyScopedExternCDecl(DeclarationName Name);
typedef LazyVector<VarDecl *, ExternalSemaSource,
&ExternalSemaSource::ReadTentativeDefinitions, 2, 2>
TentativeDefinitionsType;
/// All the tentative definitions encountered in the TU.
TentativeDefinitionsType TentativeDefinitions;
/// All the external declarations encoutered and used in the TU.
SmallVector<VarDecl *, 4> ExternalDeclarations;
typedef LazyVector<const DeclaratorDecl *, ExternalSemaSource,
&ExternalSemaSource::ReadUnusedFileScopedDecls, 2, 2>
UnusedFileScopedDeclsType;
/// The set of file scoped decls seen so far that have not been used
/// and must warn if not used. Only contains the first declaration.
UnusedFileScopedDeclsType UnusedFileScopedDecls;
typedef LazyVector<CXXConstructorDecl *, ExternalSemaSource,
&ExternalSemaSource::ReadDelegatingConstructors, 2, 2>
DelegatingCtorDeclsType;
/// All the delegating constructors seen so far in the file, used for
/// cycle detection at the end of the TU.
DelegatingCtorDeclsType DelegatingCtorDecls;
/// All the overriding functions seen during a class definition
/// that had their exception spec checks delayed, plus the overridden
/// function.
SmallVector<std::pair<const CXXMethodDecl*, const CXXMethodDecl*>, 2>
DelayedOverridingExceptionSpecChecks;
/// All the function redeclarations seen during a class definition that had
/// their exception spec checks delayed, plus the prior declaration they
/// should be checked against. Except during error recovery, the new decl
/// should always be a friend declaration, as that's the only valid way to
/// redeclare a special member before its class is complete.
SmallVector<std::pair<FunctionDecl*, FunctionDecl*>, 2>
DelayedEquivalentExceptionSpecChecks;
typedef llvm::MapVector<const FunctionDecl *,
std::unique_ptr<LateParsedTemplate>>
LateParsedTemplateMapT;
LateParsedTemplateMapT LateParsedTemplateMap;
/// Callback to the parser to parse templated functions when needed.
typedef void LateTemplateParserCB(void *P, LateParsedTemplate &LPT);
typedef void LateTemplateParserCleanupCB(void *P);
LateTemplateParserCB *LateTemplateParser;
LateTemplateParserCleanupCB *LateTemplateParserCleanup;
void *OpaqueParser;
void SetLateTemplateParser(LateTemplateParserCB *LTP,
LateTemplateParserCleanupCB *LTPCleanup,
void *P) {
LateTemplateParser = LTP;
LateTemplateParserCleanup = LTPCleanup;
OpaqueParser = P;
}
/// \brief Callback to the parser to parse a type expressed as a string.
std::function<TypeResult(StringRef, StringRef, SourceLocation)>
ParseTypeFromStringCallback;
class DelayedDiagnostics;
class DelayedDiagnosticsState {
sema::DelayedDiagnosticPool *SavedPool;
friend class Sema::DelayedDiagnostics;
};
typedef DelayedDiagnosticsState ParsingDeclState;
typedef DelayedDiagnosticsState ProcessingContextState;
/// A class which encapsulates the logic for delaying diagnostics
/// during parsing and other processing.
class DelayedDiagnostics {
/// The current pool of diagnostics into which delayed
/// diagnostics should go.
sema::DelayedDiagnosticPool *CurPool;
public:
DelayedDiagnostics() : CurPool(nullptr) {}
/// Adds a delayed diagnostic.
void add(const sema::DelayedDiagnostic &diag); // in DelayedDiagnostic.h
/// Determines whether diagnostics should be delayed.
bool shouldDelayDiagnostics() { return CurPool != nullptr; }
/// Returns the current delayed-diagnostics pool.
sema::DelayedDiagnosticPool *getCurrentPool() const {
return CurPool;
}
/// Enter a new scope. Access and deprecation diagnostics will be
/// collected in this pool.
DelayedDiagnosticsState push(sema::DelayedDiagnosticPool &pool) {
DelayedDiagnosticsState state;
state.SavedPool = CurPool;
CurPool = &pool;
return state;
}
/// Leave a delayed-diagnostic state that was previously pushed.
/// Do not emit any of the diagnostics. This is performed as part
/// of the bookkeeping of popping a pool "properly".
void popWithoutEmitting(DelayedDiagnosticsState state) {
CurPool = state.SavedPool;
}
/// Enter a new scope where access and deprecation diagnostics are
/// not delayed.
DelayedDiagnosticsState pushUndelayed() {
DelayedDiagnosticsState state;
state.SavedPool = CurPool;
CurPool = nullptr;
return state;
}
/// Undo a previous pushUndelayed().
void popUndelayed(DelayedDiagnosticsState state) {
assert(CurPool == nullptr);
CurPool = state.SavedPool;
}
} DelayedDiagnostics;
/// A RAII object to temporarily push a declaration context.
class ContextRAII {
private:
Sema &S;
DeclContext *SavedContext;
ProcessingContextState SavedContextState;
QualType SavedCXXThisTypeOverride;
unsigned SavedFunctionScopesStart;
unsigned SavedInventedParameterInfosStart;
public:
ContextRAII(Sema &S, DeclContext *ContextToPush, bool NewThisContext = true)
: S(S), SavedContext(S.CurContext),
SavedContextState(S.DelayedDiagnostics.pushUndelayed()),
SavedCXXThisTypeOverride(S.CXXThisTypeOverride),
SavedFunctionScopesStart(S.FunctionScopesStart),
SavedInventedParameterInfosStart(S.InventedParameterInfosStart)
{
assert(ContextToPush && "pushing null context");
S.CurContext = ContextToPush;
if (NewThisContext)
S.CXXThisTypeOverride = QualType();
// Any saved FunctionScopes do not refer to this context.
S.FunctionScopesStart = S.FunctionScopes.size();
S.InventedParameterInfosStart = S.InventedParameterInfos.size();
}
void pop() {
if (!SavedContext) return;
S.CurContext = SavedContext;
S.DelayedDiagnostics.popUndelayed(SavedContextState);
S.CXXThisTypeOverride = SavedCXXThisTypeOverride;
S.FunctionScopesStart = SavedFunctionScopesStart;
S.InventedParameterInfosStart = SavedInventedParameterInfosStart;
SavedContext = nullptr;
}
~ContextRAII() {
pop();
}
};
/// Whether the AST is currently being rebuilt to correct immediate
/// invocations. Immediate invocation candidates and references to consteval
/// functions aren't tracked when this is set.
bool RebuildingImmediateInvocation = false;
/// Used to change context to isConstantEvaluated without pushing a heavy
/// ExpressionEvaluationContextRecord object.
bool isConstantEvaluatedOverride;
bool isConstantEvaluated() {
return ExprEvalContexts.back().isConstantEvaluated() ||
isConstantEvaluatedOverride;
}
/// RAII object to handle the state changes required to synthesize
/// a function body.
class SynthesizedFunctionScope {
Sema &S;
Sema::ContextRAII SavedContext;
bool PushedCodeSynthesisContext = false;
public:
SynthesizedFunctionScope(Sema &S, DeclContext *DC)
: S(S), SavedContext(S, DC) {
S.PushFunctionScope();
S.PushExpressionEvaluationContext(
Sema::ExpressionEvaluationContext::PotentiallyEvaluated);
if (auto *FD = dyn_cast<FunctionDecl>(DC))
FD->setWillHaveBody(true);
else
assert(isa<ObjCMethodDecl>(DC));
}
void addContextNote(SourceLocation UseLoc) {
assert(!PushedCodeSynthesisContext);
Sema::CodeSynthesisContext Ctx;
Ctx.Kind = Sema::CodeSynthesisContext::DefiningSynthesizedFunction;
Ctx.PointOfInstantiation = UseLoc;
Ctx.Entity = cast<Decl>(S.CurContext);
S.pushCodeSynthesisContext(Ctx);
PushedCodeSynthesisContext = true;
}
~SynthesizedFunctionScope() {
if (PushedCodeSynthesisContext)
S.popCodeSynthesisContext();
if (auto *FD = dyn_cast<FunctionDecl>(S.CurContext))
FD->setWillHaveBody(false);
S.PopExpressionEvaluationContext();
S.PopFunctionScopeInfo();
}
};
/// WeakUndeclaredIdentifiers - Identifiers contained in
/// \#pragma weak before declared. rare. may alias another
/// identifier, declared or undeclared
llvm::MapVector<IdentifierInfo *, WeakInfo> WeakUndeclaredIdentifiers;
/// ExtnameUndeclaredIdentifiers - Identifiers contained in
/// \#pragma redefine_extname before declared. Used in Solaris system headers
/// to define functions that occur in multiple standards to call the version
/// in the currently selected standard.
llvm::DenseMap<IdentifierInfo*,AsmLabelAttr*> ExtnameUndeclaredIdentifiers;
/// Load weak undeclared identifiers from the external source.
void LoadExternalWeakUndeclaredIdentifiers();
/// WeakTopLevelDecl - Translation-unit scoped declarations generated by
/// \#pragma weak during processing of other Decls.
/// I couldn't figure out a clean way to generate these in-line, so
/// we store them here and handle separately -- which is a hack.
/// It would be best to refactor this.
SmallVector<Decl*,2> WeakTopLevelDecl;
IdentifierResolver IdResolver;
/// Translation Unit Scope - useful to Objective-C actions that need
/// to lookup file scope declarations in the "ordinary" C decl namespace.
/// For example, user-defined classes, built-in "id" type, etc.
Scope *TUScope;
/// The C++ "std" namespace, where the standard library resides.
LazyDeclPtr StdNamespace;
/// The C++ "std::bad_alloc" class, which is defined by the C++
/// standard library.
LazyDeclPtr StdBadAlloc;
/// The C++ "std::align_val_t" enum class, which is defined by the C++
/// standard library.
LazyDeclPtr StdAlignValT;
/// The C++ "std::experimental" namespace, where the experimental parts
/// of the standard library resides.
NamespaceDecl *StdExperimentalNamespaceCache;
/// The C++ "std::initializer_list" template, which is defined in
/// \<initializer_list>.
ClassTemplateDecl *StdInitializerList;
/// The C++ "std::coroutine_traits" template, which is defined in
/// \<coroutine_traits>
ClassTemplateDecl *StdCoroutineTraitsCache;
/// The namespace where coroutine components are defined. In standard,
/// they are defined in std namespace. And in the previous implementation,
/// they are defined in std::experimental namespace.
NamespaceDecl *CoroTraitsNamespaceCache;
/// The C++ "type_info" declaration, which is defined in \<typeinfo>.
RecordDecl *CXXTypeInfoDecl;
/// The MSVC "_GUID" struct, which is defined in MSVC header files.
RecordDecl *MSVCGuidDecl;
/// Caches identifiers/selectors for NSFoundation APIs.
std::unique_ptr<NSAPI> NSAPIObj;
/// The declaration of the Objective-C NSNumber class.
ObjCInterfaceDecl *NSNumberDecl;
/// The declaration of the Objective-C NSValue class.
ObjCInterfaceDecl *NSValueDecl;
/// Pointer to NSNumber type (NSNumber *).
QualType NSNumberPointer;
/// Pointer to NSValue type (NSValue *).
QualType NSValuePointer;
/// The Objective-C NSNumber methods used to create NSNumber literals.
ObjCMethodDecl *NSNumberLiteralMethods[NSAPI::NumNSNumberLiteralMethods];
/// The declaration of the Objective-C NSString class.
ObjCInterfaceDecl *NSStringDecl;
/// Pointer to NSString type (NSString *).
QualType NSStringPointer;
/// The declaration of the stringWithUTF8String: method.
ObjCMethodDecl *StringWithUTF8StringMethod;
/// The declaration of the valueWithBytes:objCType: method.
ObjCMethodDecl *ValueWithBytesObjCTypeMethod;
/// The declaration of the Objective-C NSArray class.
ObjCInterfaceDecl *NSArrayDecl;
/// The declaration of the arrayWithObjects:count: method.
ObjCMethodDecl *ArrayWithObjectsMethod;
/// The declaration of the Objective-C NSDictionary class.
ObjCInterfaceDecl *NSDictionaryDecl;
/// The declaration of the dictionaryWithObjects:forKeys:count: method.
ObjCMethodDecl *DictionaryWithObjectsMethod;
/// id<NSCopying> type.
QualType QIDNSCopying;
/// will hold 'respondsToSelector:'
Selector RespondsToSelectorSel;
/// A flag to remember whether the implicit forms of operator new and delete
/// have been declared.
bool GlobalNewDeleteDeclared;
/// Describes how the expressions currently being parsed are
/// evaluated at run-time, if at all.
enum class ExpressionEvaluationContext {
/// The current expression and its subexpressions occur within an
/// unevaluated operand (C++11 [expr]p7), such as the subexpression of
/// \c sizeof, where the type of the expression may be significant but
/// no code will be generated to evaluate the value of the expression at
/// run time.
Unevaluated,
/// The current expression occurs within a braced-init-list within
/// an unevaluated operand. This is mostly like a regular unevaluated
/// context, except that we still instantiate constexpr functions that are
/// referenced here so that we can perform narrowing checks correctly.
UnevaluatedList,
/// The current expression occurs within a discarded statement.
/// This behaves largely similarly to an unevaluated operand in preventing
/// definitions from being required, but not in other ways.
DiscardedStatement,
/// The current expression occurs within an unevaluated
/// operand that unconditionally permits abstract references to
/// fields, such as a SIZE operator in MS-style inline assembly.
UnevaluatedAbstract,
/// The current context is "potentially evaluated" in C++11 terms,
/// but the expression is evaluated at compile-time (like the values of
/// cases in a switch statement).
ConstantEvaluated,
/// In addition of being constant evaluated, the current expression
/// occurs in an immediate function context - either a consteval function
/// or a consteval if function.
ImmediateFunctionContext,
/// The current expression is potentially evaluated at run time,
/// which means that code may be generated to evaluate the value of the
/// expression at run time.
PotentiallyEvaluated,
/// The current expression is potentially evaluated, but any
/// declarations referenced inside that expression are only used if
/// in fact the current expression is used.
///
/// This value is used when parsing default function arguments, for which
/// we would like to provide diagnostics (e.g., passing non-POD arguments
/// through varargs) but do not want to mark declarations as "referenced"
/// until the default argument is used.
PotentiallyEvaluatedIfUsed
};
using ImmediateInvocationCandidate = llvm::PointerIntPair<ConstantExpr *, 1>;
/// Data structure used to record current or nested
/// expression evaluation contexts.
struct ExpressionEvaluationContextRecord {
/// The expression evaluation context.
ExpressionEvaluationContext Context;
/// Whether the enclosing context needed a cleanup.
CleanupInfo ParentCleanup;
/// The number of active cleanup objects when we entered
/// this expression evaluation context.
unsigned NumCleanupObjects;
/// The number of typos encountered during this expression evaluation
/// context (i.e. the number of TypoExprs created).
unsigned NumTypos;
MaybeODRUseExprSet SavedMaybeODRUseExprs;
/// The lambdas that are present within this context, if it
/// is indeed an unevaluated context.
SmallVector<LambdaExpr *, 2> Lambdas;
/// The declaration that provides context for lambda expressions
/// and block literals if the normal declaration context does not
/// suffice, e.g., in a default function argument.
Decl *ManglingContextDecl;
/// If we are processing a decltype type, a set of call expressions
/// for which we have deferred checking the completeness of the return type.
SmallVector<CallExpr *, 8> DelayedDecltypeCalls;
/// If we are processing a decltype type, a set of temporary binding
/// expressions for which we have deferred checking the destructor.
SmallVector<CXXBindTemporaryExpr *, 8> DelayedDecltypeBinds;
llvm::SmallPtrSet<const Expr *, 8> PossibleDerefs;
/// Expressions appearing as the LHS of a volatile assignment in this
/// context. We produce a warning for these when popping the context if
/// they are not discarded-value expressions nor unevaluated operands.
SmallVector<Expr*, 2> VolatileAssignmentLHSs;
/// Set of candidates for starting an immediate invocation.
llvm::SmallVector<ImmediateInvocationCandidate, 4> ImmediateInvocationCandidates;
/// Set of DeclRefExprs referencing a consteval function when used in a
/// context not already known to be immediately invoked.
llvm::SmallPtrSet<DeclRefExpr *, 4> ReferenceToConsteval;
/// \brief Describes whether we are in an expression constext which we have
/// to handle differently.
enum ExpressionKind {
EK_Decltype, EK_TemplateArgument, EK_Other
} ExprContext;
ExpressionEvaluationContextRecord(ExpressionEvaluationContext Context,
unsigned NumCleanupObjects,
CleanupInfo ParentCleanup,
Decl *ManglingContextDecl,
ExpressionKind ExprContext)
: Context(Context), ParentCleanup(ParentCleanup),
NumCleanupObjects(NumCleanupObjects), NumTypos(0),
ManglingContextDecl(ManglingContextDecl), ExprContext(ExprContext) {}
bool isUnevaluated() const {
return Context == ExpressionEvaluationContext::Unevaluated ||
Context == ExpressionEvaluationContext::UnevaluatedAbstract ||
Context == ExpressionEvaluationContext::UnevaluatedList;
}
bool isConstantEvaluated() const {
return Context == ExpressionEvaluationContext::ConstantEvaluated ||
Context == ExpressionEvaluationContext::ImmediateFunctionContext;
}
bool isImmediateFunctionContext() const {
return Context == ExpressionEvaluationContext::ImmediateFunctionContext;
}
};
/// A stack of expression evaluation contexts.
SmallVector<ExpressionEvaluationContextRecord, 8> ExprEvalContexts;
/// Emit a warning for all pending noderef expressions that we recorded.
void WarnOnPendingNoDerefs(ExpressionEvaluationContextRecord &Rec);
/// Compute the mangling number context for a lambda expression or
/// block literal. Also return the extra mangling decl if any.
///
/// \param DC - The DeclContext containing the lambda expression or
/// block literal.
std::tuple<MangleNumberingContext *, Decl *>
getCurrentMangleNumberContext(const DeclContext *DC);
/// SpecialMemberOverloadResult - The overloading result for a special member
/// function.
///
/// This is basically a wrapper around PointerIntPair. The lowest bits of the
/// integer are used to determine whether overload resolution succeeded.
class SpecialMemberOverloadResult {
public:
enum Kind {
NoMemberOrDeleted,
Ambiguous,
Success
};
private:
llvm::PointerIntPair<CXXMethodDecl*, 2> Pair;
public:
SpecialMemberOverloadResult() : Pair() {}
SpecialMemberOverloadResult(CXXMethodDecl *MD)
: Pair(MD, MD->isDeleted() ? NoMemberOrDeleted : Success) {}
CXXMethodDecl *getMethod() const { return Pair.getPointer(); }
void setMethod(CXXMethodDecl *MD) { Pair.setPointer(MD); }
Kind getKind() const { return static_cast<Kind>(Pair.getInt()); }
void setKind(Kind K) { Pair.setInt(K); }
};
class SpecialMemberOverloadResultEntry
: public llvm::FastFoldingSetNode,
public SpecialMemberOverloadResult {
public:
SpecialMemberOverloadResultEntry(const llvm::FoldingSetNodeID &ID)
: FastFoldingSetNode(ID)
{}
};
/// A cache of special member function overload resolution results
/// for C++ records.
llvm::FoldingSet<SpecialMemberOverloadResultEntry> SpecialMemberCache;
/// A cache of the flags available in enumerations with the flag_bits
/// attribute.
mutable llvm::DenseMap<const EnumDecl*, llvm::APInt> FlagBitsCache;
/// The kind of translation unit we are processing.
///
/// When we're processing a complete translation unit, Sema will perform
/// end-of-translation-unit semantic tasks (such as creating
/// initializers for tentative definitions in C) once parsing has
/// completed. Modules and precompiled headers perform different kinds of
/// checks.
const TranslationUnitKind TUKind;
llvm::BumpPtrAllocator BumpAlloc;
/// The number of SFINAE diagnostics that have been trapped.
unsigned NumSFINAEErrors;
typedef llvm::DenseMap<ParmVarDecl *, llvm::TinyPtrVector<ParmVarDecl *>>
UnparsedDefaultArgInstantiationsMap;
/// A mapping from parameters with unparsed default arguments to the
/// set of instantiations of each parameter.
///
/// This mapping is a temporary data structure used when parsing
/// nested class templates or nested classes of class templates,
/// where we might end up instantiating an inner class before the
/// default arguments of its methods have been parsed.
UnparsedDefaultArgInstantiationsMap UnparsedDefaultArgInstantiations;
// Contains the locations of the beginning of unparsed default
// argument locations.
llvm::DenseMap<ParmVarDecl *, SourceLocation> UnparsedDefaultArgLocs;
/// UndefinedInternals - all the used, undefined objects which require a
/// definition in this translation unit.
llvm::MapVector<NamedDecl *, SourceLocation> UndefinedButUsed;
/// Determine if VD, which must be a variable or function, is an external
/// symbol that nonetheless can't be referenced from outside this translation
/// unit because its type has no linkage and it's not extern "C".
bool isExternalWithNoLinkageType(ValueDecl *VD);
/// Obtain a sorted list of functions that are undefined but ODR-used.
void getUndefinedButUsed(
SmallVectorImpl<std::pair<NamedDecl *, SourceLocation> > &Undefined);
/// Retrieves list of suspicious delete-expressions that will be checked at
/// the end of translation unit.
const llvm::MapVector<FieldDecl *, DeleteLocs> &
getMismatchingDeleteExpressions() const;
class GlobalMethodPool {
public:
using Lists = std::pair<ObjCMethodList, ObjCMethodList>;
using iterator = llvm::DenseMap<Selector, Lists>::iterator;
iterator begin() { return Methods.begin(); }
iterator end() { return Methods.end(); }
iterator find(Selector Sel) { return Methods.find(Sel); }
std::pair<iterator, bool> insert(std::pair<Selector, Lists> &&Val) {
return Methods.insert(Val);
}
int count(Selector Sel) const { return Methods.count(Sel); }
bool empty() const { return Methods.empty(); }
private:
llvm::DenseMap<Selector, Lists> Methods;
};
/// Method Pool - allows efficient lookup when typechecking messages to "id".
/// We need to maintain a list, since selectors can have differing signatures
/// across classes. In Cocoa, this happens to be extremely uncommon (only 1%
/// of selectors are "overloaded").
/// At the head of the list it is recorded whether there were 0, 1, or >= 2
/// methods inside categories with a particular selector.
GlobalMethodPool MethodPool;
/// Method selectors used in a \@selector expression. Used for implementation
/// of -Wselector.
llvm::MapVector<Selector, SourceLocation> ReferencedSelectors;
/// List of SourceLocations where 'self' is implicitly retained inside a
/// block.
llvm::SmallVector<std::pair<SourceLocation, const BlockDecl *>, 1>
ImplicitlyRetainedSelfLocs;
/// Kinds of C++ special members.
enum CXXSpecialMember {
CXXDefaultConstructor,
CXXCopyConstructor,
CXXMoveConstructor,
CXXCopyAssignment,
CXXMoveAssignment,
CXXDestructor,
CXXInvalid
};
typedef llvm::PointerIntPair<CXXRecordDecl *, 3, CXXSpecialMember>
SpecialMemberDecl;
/// The C++ special members which we are currently in the process of
/// declaring. If this process recursively triggers the declaration of the
/// same special member, we should act as if it is not yet declared.
llvm::SmallPtrSet<SpecialMemberDecl, 4> SpecialMembersBeingDeclared;
/// Kinds of defaulted comparison operator functions.
enum class DefaultedComparisonKind : unsigned char {
/// This is not a defaultable comparison operator.
None,
/// This is an operator== that should be implemented as a series of
/// subobject comparisons.
Equal,
/// This is an operator<=> that should be implemented as a series of
/// subobject comparisons.
ThreeWay,
/// This is an operator!= that should be implemented as a rewrite in terms
/// of a == comparison.
NotEqual,
/// This is an <, <=, >, or >= that should be implemented as a rewrite in
/// terms of a <=> comparison.
Relational,
};
/// The function definitions which were renamed as part of typo-correction
/// to match their respective declarations. We want to keep track of them
/// to ensure that we don't emit a "redefinition" error if we encounter a
/// correctly named definition after the renamed definition.
llvm::SmallPtrSet<const NamedDecl *, 4> TypoCorrectedFunctionDefinitions;
/// Stack of types that correspond to the parameter entities that are
/// currently being copy-initialized. Can be empty.
llvm::SmallVector<QualType, 4> CurrentParameterCopyTypes;
void ReadMethodPool(Selector Sel);
void updateOutOfDateSelector(Selector Sel);
/// Private Helper predicate to check for 'self'.
bool isSelfExpr(Expr *RExpr);
bool isSelfExpr(Expr *RExpr, const ObjCMethodDecl *Method);
/// Cause the active diagnostic on the DiagosticsEngine to be
/// emitted. This is closely coupled to the SemaDiagnosticBuilder class and
/// should not be used elsewhere.
void EmitCurrentDiagnostic(unsigned DiagID);
/// Records and restores the CurFPFeatures state on entry/exit of compound
/// statements.
class FPFeaturesStateRAII {
public:
FPFeaturesStateRAII(Sema &S) : S(S), OldFPFeaturesState(S.CurFPFeatures) {
OldOverrides = S.FpPragmaStack.CurrentValue;
}
~FPFeaturesStateRAII() {
S.CurFPFeatures = OldFPFeaturesState;
S.FpPragmaStack.CurrentValue = OldOverrides;
}
FPOptionsOverride getOverrides() { return OldOverrides; }
private:
Sema& S;
FPOptions OldFPFeaturesState;
FPOptionsOverride OldOverrides;
};
void addImplicitTypedef(StringRef Name, QualType T);
bool WarnedStackExhausted = false;
/// Increment when we find a reference; decrement when we find an ignored
/// assignment. Ultimately the value is 0 if every reference is an ignored
/// assignment.
llvm::DenseMap<const VarDecl *, int> RefsMinusAssignments;
Optional<std::unique_ptr<DarwinSDKInfo>> CachedDarwinSDKInfo;
public:
Sema(Preprocessor &pp, ASTContext &ctxt, ASTConsumer &consumer,
TranslationUnitKind TUKind = TU_Complete,
CodeCompleteConsumer *CompletionConsumer = nullptr);
~Sema();
/// Perform initialization that occurs after the parser has been
/// initialized but before it parses anything.
void Initialize();
/// This virtual key function only exists to limit the emission of debug info
/// describing the Sema class. GCC and Clang only emit debug info for a class
/// with a vtable when the vtable is emitted. Sema is final and not
/// polymorphic, but the debug info size savings are so significant that it is
/// worth adding a vtable just to take advantage of this optimization.
virtual void anchor();
const LangOptions &getLangOpts() const { return LangOpts; }
OpenCLOptions &getOpenCLOptions() { return OpenCLFeatures; }
FPOptions &getCurFPFeatures() { return CurFPFeatures; }
DiagnosticsEngine &getDiagnostics() const { return Diags; }
SourceManager &getSourceManager() const { return SourceMgr; }
Preprocessor &getPreprocessor() const { return PP; }
ASTContext &getASTContext() const { return Context; }
ASTConsumer &getASTConsumer() const { return Consumer; }
ASTMutationListener *getASTMutationListener() const;
ExternalSemaSource* getExternalSource() const { return ExternalSource; }
DarwinSDKInfo *getDarwinSDKInfoForAvailabilityChecking(SourceLocation Loc,
StringRef Platform);
///Registers an external source. If an external source already exists,
/// creates a multiplex external source and appends to it.
///
///\param[in] E - A non-null external sema source.
///
void addExternalSource(ExternalSemaSource *E);
void PrintStats() const;
/// Warn that the stack is nearly exhausted.
void warnStackExhausted(SourceLocation Loc);
/// Run some code with "sufficient" stack space. (Currently, at least 256K is
/// guaranteed). Produces a warning if we're low on stack space and allocates
/// more in that case. Use this in code that may recurse deeply (for example,
/// in template instantiation) to avoid stack overflow.
void runWithSufficientStackSpace(SourceLocation Loc,
llvm::function_ref<void()> Fn);
/// Helper class that creates diagnostics with optional
/// template instantiation stacks.
///
/// This class provides a wrapper around the basic DiagnosticBuilder
/// class that emits diagnostics. ImmediateDiagBuilder is
/// responsible for emitting the diagnostic (as DiagnosticBuilder
/// does) and, if the diagnostic comes from inside a template
/// instantiation, printing the template instantiation stack as
/// well.
class ImmediateDiagBuilder : public DiagnosticBuilder {
Sema &SemaRef;
unsigned DiagID;
public:
ImmediateDiagBuilder(DiagnosticBuilder &DB, Sema &SemaRef, unsigned DiagID)
: DiagnosticBuilder(DB), SemaRef(SemaRef), DiagID(DiagID) {}
ImmediateDiagBuilder(DiagnosticBuilder &&DB, Sema &SemaRef, unsigned DiagID)
: DiagnosticBuilder(DB), SemaRef(SemaRef), DiagID(DiagID) {}
// This is a cunning lie. DiagnosticBuilder actually performs move
// construction in its copy constructor (but due to varied uses, it's not
// possible to conveniently express this as actual move construction). So
// the default copy ctor here is fine, because the base class disables the
// source anyway, so the user-defined ~ImmediateDiagBuilder is a safe no-op
// in that case anwyay.
ImmediateDiagBuilder(const ImmediateDiagBuilder &) = default;
~ImmediateDiagBuilder() {
// If we aren't active, there is nothing to do.
if (!isActive()) return;
// Otherwise, we need to emit the diagnostic. First clear the diagnostic
// builder itself so it won't emit the diagnostic in its own destructor.
//
// This seems wasteful, in that as written the DiagnosticBuilder dtor will
// do its own needless checks to see if the diagnostic needs to be
// emitted. However, because we take care to ensure that the builder
// objects never escape, a sufficiently smart compiler will be able to
// eliminate that code.
Clear();
// Dispatch to Sema to emit the diagnostic.
SemaRef.EmitCurrentDiagnostic(DiagID);
}
/// Teach operator<< to produce an object of the correct type.
template <typename T>
friend const ImmediateDiagBuilder &
operator<<(const ImmediateDiagBuilder &Diag, const T &Value) {
const DiagnosticBuilder &BaseDiag = Diag;
BaseDiag << Value;
return Diag;
}
// It is necessary to limit this to rvalue reference to avoid calling this
// function with a bitfield lvalue argument since non-const reference to
// bitfield is not allowed.
template <typename T, typename = typename std::enable_if<
!std::is_lvalue_reference<T>::value>::type>
const ImmediateDiagBuilder &operator<<(T &&V) const {
const DiagnosticBuilder &BaseDiag = *this;
BaseDiag << std::move(V);
return *this;
}
};
/// A generic diagnostic builder for errors which may or may not be deferred.
///
/// In CUDA, there exist constructs (e.g. variable-length arrays, try/catch)
/// which are not allowed to appear inside __device__ functions and are
/// allowed to appear in __host__ __device__ functions only if the host+device
/// function is never codegen'ed.
///
/// To handle this, we use the notion of "deferred diagnostics", where we
/// attach a diagnostic to a FunctionDecl that's emitted iff it's codegen'ed.
///
/// This class lets you emit either a regular diagnostic, a deferred
/// diagnostic, or no diagnostic at all, according to an argument you pass to
/// its constructor, thus simplifying the process of creating these "maybe
/// deferred" diagnostics.
class SemaDiagnosticBuilder {
public:
enum Kind {
/// Emit no diagnostics.
K_Nop,
/// Emit the diagnostic immediately (i.e., behave like Sema::Diag()).
K_Immediate,
/// Emit the diagnostic immediately, and, if it's a warning or error, also
/// emit a call stack showing how this function can be reached by an a
/// priori known-emitted function.
K_ImmediateWithCallStack,
/// Create a deferred diagnostic, which is emitted only if the function
/// it's attached to is codegen'ed. Also emit a call stack as with
/// K_ImmediateWithCallStack.
K_Deferred
};
SemaDiagnosticBuilder(Kind K, SourceLocation Loc, unsigned DiagID,
FunctionDecl *Fn, Sema &S);
SemaDiagnosticBuilder(SemaDiagnosticBuilder &&D);
SemaDiagnosticBuilder(const SemaDiagnosticBuilder &) = default;
~SemaDiagnosticBuilder();
bool isImmediate() const { return ImmediateDiag.hasValue(); }
/// Convertible to bool: True if we immediately emitted an error, false if
/// we didn't emit an error or we created a deferred error.
///
/// Example usage:
///
/// if (SemaDiagnosticBuilder(...) << foo << bar)
/// return ExprError();
///
/// But see CUDADiagIfDeviceCode() and CUDADiagIfHostCode() -- you probably
/// want to use these instead of creating a SemaDiagnosticBuilder yourself.
operator bool() const { return isImmediate(); }
template <typename T>
friend const SemaDiagnosticBuilder &
operator<<(const SemaDiagnosticBuilder &Diag, const T &Value) {
if (Diag.ImmediateDiag.hasValue())
*Diag.ImmediateDiag << Value;
else if (Diag.PartialDiagId.hasValue())
Diag.S.DeviceDeferredDiags[Diag.Fn][*Diag.PartialDiagId].second
<< Value;
return Diag;
}
// It is necessary to limit this to rvalue reference to avoid calling this
// function with a bitfield lvalue argument since non-const reference to
// bitfield is not allowed.
template <typename T, typename = typename std::enable_if<
!std::is_lvalue_reference<T>::value>::type>
const SemaDiagnosticBuilder &operator<<(T &&V) const {
if (ImmediateDiag.hasValue())
*ImmediateDiag << std::move(V);
else if (PartialDiagId.hasValue())
S.DeviceDeferredDiags[Fn][*PartialDiagId].second << std::move(V);
return *this;
}
friend const SemaDiagnosticBuilder &
operator<<(const SemaDiagnosticBuilder &Diag, const PartialDiagnostic &PD) {
if (Diag.ImmediateDiag.hasValue())
PD.Emit(*Diag.ImmediateDiag);
else if (Diag.PartialDiagId.hasValue())
Diag.S.DeviceDeferredDiags[Diag.Fn][*Diag.PartialDiagId].second = PD;
return Diag;
}
void AddFixItHint(const FixItHint &Hint) const {
if (ImmediateDiag.hasValue())
ImmediateDiag->AddFixItHint(Hint);
else if (PartialDiagId.hasValue())
S.DeviceDeferredDiags[Fn][*PartialDiagId].second.AddFixItHint(Hint);
}
friend ExprResult ExprError(const SemaDiagnosticBuilder &) {
return ExprError();
}
friend StmtResult StmtError(const SemaDiagnosticBuilder &) {
return StmtError();
}
operator ExprResult() const { return ExprError(); }
operator StmtResult() const { return StmtError(); }
operator TypeResult() const { return TypeError(); }
operator DeclResult() const { return DeclResult(true); }
operator MemInitResult() const { return MemInitResult(true); }
private:
Sema &S;
SourceLocation Loc;
unsigned DiagID;
FunctionDecl *Fn;
bool ShowCallStack;
// Invariant: At most one of these Optionals has a value.
// FIXME: Switch these to a Variant once that exists.
llvm::Optional<ImmediateDiagBuilder> ImmediateDiag;
llvm::Optional<unsigned> PartialDiagId;
};
/// Is the last error level diagnostic immediate. This is used to determined
/// whether the next info diagnostic should be immediate.
bool IsLastErrorImmediate = true;
/// Emit a diagnostic.
SemaDiagnosticBuilder Diag(SourceLocation Loc, unsigned DiagID,
bool DeferHint = false);
/// Emit a partial diagnostic.
SemaDiagnosticBuilder Diag(SourceLocation Loc, const PartialDiagnostic &PD,
bool DeferHint = false);
/// Build a partial diagnostic.
PartialDiagnostic PDiag(unsigned DiagID = 0); // in SemaInternal.h
/// Whether deferrable diagnostics should be deferred.
bool DeferDiags = false;
/// RAII class to control scope of DeferDiags.
class DeferDiagsRAII {
Sema &S;
bool SavedDeferDiags = false;
public:
DeferDiagsRAII(Sema &S, bool DeferDiags)
: S(S), SavedDeferDiags(S.DeferDiags) {
S.DeferDiags = DeferDiags;
}
~DeferDiagsRAII() { S.DeferDiags = SavedDeferDiags; }
};
/// Whether uncompilable error has occurred. This includes error happens
/// in deferred diagnostics.
bool hasUncompilableErrorOccurred() const;
bool findMacroSpelling(SourceLocation &loc, StringRef name);
/// Get a string to suggest for zero-initialization of a type.
std::string
getFixItZeroInitializerForType(QualType T, SourceLocation Loc) const;
std::string getFixItZeroLiteralForType(QualType T, SourceLocation Loc) const;
/// Calls \c Lexer::getLocForEndOfToken()
SourceLocation getLocForEndOfToken(SourceLocation Loc, unsigned Offset = 0);
/// Retrieve the module loader associated with the preprocessor.
ModuleLoader &getModuleLoader() const;
/// Invent a new identifier for parameters of abbreviated templates.
IdentifierInfo *
InventAbbreviatedTemplateParameterTypeName(IdentifierInfo *ParamName,
unsigned Index);
void emitAndClearUnusedLocalTypedefWarnings();
private:
/// Function or variable declarations to be checked for whether the deferred
/// diagnostics should be emitted.
llvm::SmallSetVector<Decl *, 4> DeclsToCheckForDeferredDiags;
public:
// Emit all deferred diagnostics.
void emitDeferredDiags();
enum TUFragmentKind {
/// The global module fragment, between 'module;' and a module-declaration.
Global,
/// A normal translation unit fragment. For a non-module unit, this is the
/// entire translation unit. Otherwise, it runs from the module-declaration
/// to the private-module-fragment (if any) or the end of the TU (if not).
Normal,
/// The private module fragment, between 'module :private;' and the end of
/// the translation unit.
Private
};
void ActOnStartOfTranslationUnit();
void ActOnEndOfTranslationUnit();
void ActOnEndOfTranslationUnitFragment(TUFragmentKind Kind);
void CheckDelegatingCtorCycles();
Scope *getScopeForContext(DeclContext *Ctx);
void PushFunctionScope();
void PushBlockScope(Scope *BlockScope, BlockDecl *Block);
sema::LambdaScopeInfo *PushLambdaScope();
/// This is used to inform Sema what the current TemplateParameterDepth
/// is during Parsing. Currently it is used to pass on the depth
/// when parsing generic lambda 'auto' parameters.
void RecordParsingTemplateParameterDepth(unsigned Depth);
void PushCapturedRegionScope(Scope *RegionScope, CapturedDecl *CD,
RecordDecl *RD, CapturedRegionKind K,
unsigned OpenMPCaptureLevel = 0);
/// Custom deleter to allow FunctionScopeInfos to be kept alive for a short
/// time after they've been popped.
class PoppedFunctionScopeDeleter {
Sema *Self;
public:
explicit PoppedFunctionScopeDeleter(Sema *Self) : Self(Self) {}
void operator()(sema::FunctionScopeInfo *Scope) const;
};
using PoppedFunctionScopePtr =
std::unique_ptr<sema::FunctionScopeInfo, PoppedFunctionScopeDeleter>;
PoppedFunctionScopePtr
PopFunctionScopeInfo(const sema::AnalysisBasedWarnings::Policy *WP = nullptr,
const Decl *D = nullptr,
QualType BlockType = QualType());
sema::FunctionScopeInfo *getCurFunction() const {
return FunctionScopes.empty() ? nullptr : FunctionScopes.back();
}
sema::FunctionScopeInfo *getEnclosingFunction() const;
void setFunctionHasBranchIntoScope();
void setFunctionHasBranchProtectedScope();
void setFunctionHasIndirectGoto();
void setFunctionHasMustTail();
void PushCompoundScope(bool IsStmtExpr);
void PopCompoundScope();
sema::CompoundScopeInfo &getCurCompoundScope() const;
bool hasAnyUnrecoverableErrorsInThisFunction() const;
/// Retrieve the current block, if any.
sema::BlockScopeInfo *getCurBlock();
/// Get the innermost lambda enclosing the current location, if any. This
/// looks through intervening non-lambda scopes such as local functions and
/// blocks.
sema::LambdaScopeInfo *getEnclosingLambda() const;
/// Retrieve the current lambda scope info, if any.
/// \param IgnoreNonLambdaCapturingScope true if should find the top-most
/// lambda scope info ignoring all inner capturing scopes that are not
/// lambda scopes.
sema::LambdaScopeInfo *
getCurLambda(bool IgnoreNonLambdaCapturingScope = false);
/// Retrieve the current generic lambda info, if any.
sema::LambdaScopeInfo *getCurGenericLambda();
/// Retrieve the current captured region, if any.
sema::CapturedRegionScopeInfo *getCurCapturedRegion();
/// Retrieve the current function, if any, that should be analyzed for
/// potential availability violations.
sema::FunctionScopeInfo *getCurFunctionAvailabilityContext();
/// WeakTopLevelDeclDecls - access to \#pragma weak-generated Decls
SmallVectorImpl<Decl *> &WeakTopLevelDecls() { return WeakTopLevelDecl; }
/// Called before parsing a function declarator belonging to a function
/// declaration.
void ActOnStartFunctionDeclarationDeclarator(Declarator &D,
unsigned TemplateParameterDepth);
/// Called after parsing a function declarator belonging to a function
/// declaration.
void ActOnFinishFunctionDeclarationDeclarator(Declarator &D);
void ActOnComment(SourceRange Comment);
//===--------------------------------------------------------------------===//
// Type Analysis / Processing: SemaType.cpp.
//
QualType BuildQualifiedType(QualType T, SourceLocation Loc, Qualifiers Qs,
const DeclSpec *DS = nullptr);
QualType BuildQualifiedType(QualType T, SourceLocation Loc, unsigned CVRA,
const DeclSpec *DS = nullptr);
QualType BuildPointerType(QualType T,
SourceLocation Loc, DeclarationName Entity);
QualType BuildReferenceType(QualType T, bool LValueRef,
SourceLocation Loc, DeclarationName Entity);
QualType BuildArrayType(QualType T, ArrayType::ArraySizeModifier ASM,
Expr *ArraySize, unsigned Quals,
SourceRange Brackets, DeclarationName Entity);
QualType BuildVectorType(QualType T, Expr *VecSize, SourceLocation AttrLoc);
QualType BuildExtVectorType(QualType T, Expr *ArraySize,
SourceLocation AttrLoc);
QualType BuildMatrixType(QualType T, Expr *NumRows, Expr *NumColumns,
SourceLocation AttrLoc);
QualType BuildAddressSpaceAttr(QualType &T, LangAS ASIdx, Expr *AddrSpace,
SourceLocation AttrLoc);
/// Same as above, but constructs the AddressSpace index if not provided.
QualType BuildAddressSpaceAttr(QualType &T, Expr *AddrSpace,
SourceLocation AttrLoc);
bool CheckQualifiedFunctionForTypeId(QualType T, SourceLocation Loc);
bool CheckFunctionReturnType(QualType T, SourceLocation Loc);
/// Build a function type.
///
/// This routine checks the function type according to C++ rules and
/// under the assumption that the result type and parameter types have
/// just been instantiated from a template. It therefore duplicates
/// some of the behavior of GetTypeForDeclarator, but in a much
/// simpler form that is only suitable for this narrow use case.
///
/// \param T The return type of the function.
///
/// \param ParamTypes The parameter types of the function. This array
/// will be modified to account for adjustments to the types of the
/// function parameters.
///
/// \param Loc The location of the entity whose type involves this
/// function type or, if there is no such entity, the location of the
/// type that will have function type.
///
/// \param Entity The name of the entity that involves the function
/// type, if known.
///
/// \param EPI Extra information about the function type. Usually this will
/// be taken from an existing function with the same prototype.
///
/// \returns A suitable function type, if there are no errors. The
/// unqualified type will always be a FunctionProtoType.
/// Otherwise, returns a NULL type.
QualType BuildFunctionType(QualType T,
MutableArrayRef<QualType> ParamTypes,
SourceLocation Loc, DeclarationName Entity,
const FunctionProtoType::ExtProtoInfo &EPI);
QualType BuildMemberPointerType(QualType T, QualType Class,
SourceLocation Loc,
DeclarationName Entity);
QualType BuildBlockPointerType(QualType T,
SourceLocation Loc, DeclarationName Entity);
QualType BuildParenType(QualType T);
QualType BuildAtomicType(QualType T, SourceLocation Loc);
QualType BuildReadPipeType(QualType T,
SourceLocation Loc);
QualType BuildWritePipeType(QualType T,
SourceLocation Loc);
QualType BuildExtIntType(bool IsUnsigned, Expr *BitWidth, SourceLocation Loc);
TypeSourceInfo *GetTypeForDeclarator(Declarator &D, Scope *S);
TypeSourceInfo *GetTypeForDeclaratorCast(Declarator &D, QualType FromTy);
/// Package the given type and TSI into a ParsedType.
ParsedType CreateParsedType(QualType T, TypeSourceInfo *TInfo);
DeclarationNameInfo GetNameForDeclarator(Declarator &D);
DeclarationNameInfo GetNameFromUnqualifiedId(const UnqualifiedId &Name);
static QualType GetTypeFromParser(ParsedType Ty,
TypeSourceInfo **TInfo = nullptr);
CanThrowResult canThrow(const Stmt *E);
/// Determine whether the callee of a particular function call can throw.
/// E, D and Loc are all optional.
static CanThrowResult canCalleeThrow(Sema &S, const Expr *E, const Decl *D,
SourceLocation Loc = SourceLocation());
const FunctionProtoType *ResolveExceptionSpec(SourceLocation Loc,
const FunctionProtoType *FPT);
void UpdateExceptionSpec(FunctionDecl *FD,
const FunctionProtoType::ExceptionSpecInfo &ESI);
bool CheckSpecifiedExceptionType(QualType &T, SourceRange Range);
bool CheckDistantExceptionSpec(QualType T);
bool CheckEquivalentExceptionSpec(FunctionDecl *Old, FunctionDecl *New);
bool CheckEquivalentExceptionSpec(
const FunctionProtoType *Old, SourceLocation OldLoc,
const FunctionProtoType *New, SourceLocation NewLoc);
bool CheckEquivalentExceptionSpec(
const PartialDiagnostic &DiagID, const PartialDiagnostic & NoteID,
const FunctionProtoType *Old, SourceLocation OldLoc,
const FunctionProtoType *New, SourceLocation NewLoc);
bool handlerCanCatch(QualType HandlerType, QualType ExceptionType);
bool CheckExceptionSpecSubset(const PartialDiagnostic &DiagID,
const PartialDiagnostic &NestedDiagID,
const PartialDiagnostic &NoteID,
const PartialDiagnostic &NoThrowDiagID,
const FunctionProtoType *Superset,
SourceLocation SuperLoc,
const FunctionProtoType *Subset,
SourceLocation SubLoc);
bool CheckParamExceptionSpec(const PartialDiagnostic &NestedDiagID,
const PartialDiagnostic &NoteID,
const FunctionProtoType *Target,
SourceLocation TargetLoc,
const FunctionProtoType *Source,
SourceLocation SourceLoc);
TypeResult ActOnTypeName(Scope *S, Declarator &D);
/// The parser has parsed the context-sensitive type 'instancetype'
/// in an Objective-C message declaration. Return the appropriate type.
ParsedType ActOnObjCInstanceType(SourceLocation Loc);
/// Abstract class used to diagnose incomplete types.
struct TypeDiagnoser {
TypeDiagnoser() {}
virtual void diagnose(Sema &S, SourceLocation Loc, QualType T) = 0;
virtual ~TypeDiagnoser() {}
};
static int getPrintable(int I) { return I; }
static unsigned getPrintable(unsigned I) { return I; }
static bool getPrintable(bool B) { return B; }
static const char * getPrintable(const char *S) { return S; }
static StringRef getPrintable(StringRef S) { return S; }
static const std::string &getPrintable(const std::string &S) { return S; }
static const IdentifierInfo *getPrintable(const IdentifierInfo *II) {
return II;
}
static DeclarationName getPrintable(DeclarationName N) { return N; }
static QualType getPrintable(QualType T) { return T; }
static SourceRange getPrintable(SourceRange R) { return R; }
static SourceRange getPrintable(SourceLocation L) { return L; }
static SourceRange getPrintable(const Expr *E) { return E->getSourceRange(); }
static SourceRange getPrintable(TypeLoc TL) { return TL.getSourceRange();}
template <typename... Ts> class BoundTypeDiagnoser : public TypeDiagnoser {
protected:
unsigned DiagID;
std::tuple<const Ts &...> Args;
template <std::size_t... Is>
void emit(const SemaDiagnosticBuilder &DB,
std::index_sequence<Is...>) const {
// Apply all tuple elements to the builder in order.
bool Dummy[] = {false, (DB << getPrintable(std::get<Is>(Args)))...};
(void)Dummy;
}
public:
BoundTypeDiagnoser(unsigned DiagID, const Ts &...Args)
: TypeDiagnoser(), DiagID(DiagID), Args(Args...) {
assert(DiagID != 0 && "no diagnostic for type diagnoser");
}
void diagnose(Sema &S, SourceLocation Loc, QualType T) override {
const SemaDiagnosticBuilder &DB = S.Diag(Loc, DiagID);
emit(DB, std::index_sequence_for<Ts...>());
DB << T;
}
};
/// Do a check to make sure \p Name looks like a legal argument for the
/// swift_name attribute applied to decl \p D. Raise a diagnostic if the name
/// is invalid for the given declaration.
///
/// \p AL is used to provide caret diagnostics in case of a malformed name.
///
/// \returns true if the name is a valid swift name for \p D, false otherwise.
bool DiagnoseSwiftName(Decl *D, StringRef Name, SourceLocation Loc,
const ParsedAttr &AL, bool IsAsync);
/// A derivative of BoundTypeDiagnoser for which the diagnostic's type
/// parameter is preceded by a 0/1 enum that is 1 if the type is sizeless.
/// For example, a diagnostic with no other parameters would generally have
/// the form "...%select{incomplete|sizeless}0 type %1...".
template <typename... Ts>
class SizelessTypeDiagnoser : public BoundTypeDiagnoser<Ts...> {
public:
SizelessTypeDiagnoser(unsigned DiagID, const Ts &... Args)
: BoundTypeDiagnoser<Ts...>(DiagID, Args...) {}
void diagnose(Sema &S, SourceLocation Loc, QualType T) override {
const SemaDiagnosticBuilder &DB = S.Diag(Loc, this->DiagID);
this->emit(DB, std::index_sequence_for<Ts...>());
DB << T->isSizelessType() << T;
}
};
enum class CompleteTypeKind {
/// Apply the normal rules for complete types. In particular,
/// treat all sizeless types as incomplete.
Normal,
/// Relax the normal rules for complete types so that they include
/// sizeless built-in types.
AcceptSizeless,
// FIXME: Eventually we should flip the default to Normal and opt in
// to AcceptSizeless rather than opt out of it.
Default = AcceptSizeless
};
private:
/// Methods for marking which expressions involve dereferencing a pointer
/// marked with the 'noderef' attribute. Expressions are checked bottom up as
/// they are parsed, meaning that a noderef pointer may not be accessed. For
/// example, in `&*p` where `p` is a noderef pointer, we will first parse the
/// `*p`, but need to check that `address of` is called on it. This requires
/// keeping a container of all pending expressions and checking if the address
/// of them are eventually taken.
void CheckSubscriptAccessOfNoDeref(const ArraySubscriptExpr *E);
void CheckAddressOfNoDeref(const Expr *E);
void CheckMemberAccessOfNoDeref(const MemberExpr *E);
bool RequireCompleteTypeImpl(SourceLocation Loc, QualType T,
CompleteTypeKind Kind, TypeDiagnoser *Diagnoser);
struct ModuleScope {
SourceLocation BeginLoc;
clang::Module *Module = nullptr;
bool ModuleInterface = false;
bool ImplicitGlobalModuleFragment = false;
VisibleModuleSet OuterVisibleModules;
};
/// The modules we're currently parsing.
llvm::SmallVector<ModuleScope, 16> ModuleScopes;
/// Namespace definitions that we will export when they finish.
llvm::SmallPtrSet<const NamespaceDecl*, 8> DeferredExportedNamespaces;
/// Get the module whose scope we are currently within.
Module *getCurrentModule() const {
return ModuleScopes.empty() ? nullptr : ModuleScopes.back().Module;
}
VisibleModuleSet VisibleModules;
public:
/// Get the module owning an entity.
Module *getOwningModule(const Decl *Entity) {
return Entity->getOwningModule();
}
/// Make a merged definition of an existing hidden definition \p ND
/// visible at the specified location.
void makeMergedDefinitionVisible(NamedDecl *ND);
bool isModuleVisible(const Module *M, bool ModulePrivate = false);
// When loading a non-modular PCH files, this is used to restore module
// visibility.
void makeModuleVisible(Module *Mod, SourceLocation ImportLoc) {
VisibleModules.setVisible(Mod, ImportLoc);
}
/// Determine whether a declaration is visible to name lookup.
bool isVisible(const NamedDecl *D) {
return D->isUnconditionallyVisible() || isVisibleSlow(D);
}
/// Determine whether any declaration of an entity is visible.
bool
hasVisibleDeclaration(const NamedDecl *D,
llvm::SmallVectorImpl<Module *> *Modules = nullptr) {
return isVisible(D) || hasVisibleDeclarationSlow(D, Modules);
}
bool hasVisibleDeclarationSlow(const NamedDecl *D,
llvm::SmallVectorImpl<Module *> *Modules);
bool hasVisibleMergedDefinition(NamedDecl *Def);
bool hasMergedDefinitionInCurrentModule(NamedDecl *Def);
/// Determine if \p D and \p Suggested have a structurally compatible
/// layout as described in C11 6.2.7/1.
bool hasStructuralCompatLayout(Decl *D, Decl *Suggested);
/// Determine if \p D has a visible definition. If not, suggest a declaration
/// that should be made visible to expose the definition.
bool hasVisibleDefinition(NamedDecl *D, NamedDecl **Suggested,
bool OnlyNeedComplete = false);
bool hasVisibleDefinition(const NamedDecl *D) {
NamedDecl *Hidden;
return hasVisibleDefinition(const_cast<NamedDecl*>(D), &Hidden);
}
/// Determine if the template parameter \p D has a visible default argument.
bool
hasVisibleDefaultArgument(const NamedDecl *D,
llvm::SmallVectorImpl<Module *> *Modules = nullptr);
/// Determine if there is a visible declaration of \p D that is an explicit
/// specialization declaration for a specialization of a template. (For a
/// member specialization, use hasVisibleMemberSpecialization.)
bool hasVisibleExplicitSpecialization(
const NamedDecl *D, llvm::SmallVectorImpl<Module *> *Modules = nullptr);
/// Determine if there is a visible declaration of \p D that is a member
/// specialization declaration (as opposed to an instantiated declaration).
bool hasVisibleMemberSpecialization(
const NamedDecl *D, llvm::SmallVectorImpl<Module *> *Modules = nullptr);
/// Determine if \p A and \p B are equivalent internal linkage declarations
/// from different modules, and thus an ambiguity error can be downgraded to
/// an extension warning.
bool isEquivalentInternalLinkageDeclaration(const NamedDecl *A,
const NamedDecl *B);
void diagnoseEquivalentInternalLinkageDeclarations(
SourceLocation Loc, const NamedDecl *D,
ArrayRef<const NamedDecl *> Equiv);
bool isUsualDeallocationFunction(const CXXMethodDecl *FD);
bool isCompleteType(SourceLocation Loc, QualType T,
CompleteTypeKind Kind = CompleteTypeKind::Default) {
return !RequireCompleteTypeImpl(Loc, T, Kind, nullptr);
}
bool RequireCompleteType(SourceLocation Loc, QualType T,
CompleteTypeKind Kind, TypeDiagnoser &Diagnoser);
bool RequireCompleteType(SourceLocation Loc, QualType T,
CompleteTypeKind Kind, unsigned DiagID);
bool RequireCompleteType(SourceLocation Loc, QualType T,
TypeDiagnoser &Diagnoser) {
return RequireCompleteType(Loc, T, CompleteTypeKind::Default, Diagnoser);
}
bool RequireCompleteType(SourceLocation Loc, QualType T, unsigned DiagID) {
return RequireCompleteType(Loc, T, CompleteTypeKind::Default, DiagID);
}
template <typename... Ts>
bool RequireCompleteType(SourceLocation Loc, QualType T, unsigned DiagID,
const Ts &...Args) {
BoundTypeDiagnoser<Ts...> Diagnoser(DiagID, Args...);
return RequireCompleteType(Loc, T, Diagnoser);
}
template <typename... Ts>
bool RequireCompleteSizedType(SourceLocation Loc, QualType T, unsigned DiagID,
const Ts &... Args) {
SizelessTypeDiagnoser<Ts...> Diagnoser(DiagID, Args...);
return RequireCompleteType(Loc, T, CompleteTypeKind::Normal, Diagnoser);
}
/// Get the type of expression E, triggering instantiation to complete the
/// type if necessary -- that is, if the expression refers to a templated
/// static data member of incomplete array type.
///
/// May still return an incomplete type if instantiation was not possible or
/// if the type is incomplete for a different reason. Use
/// RequireCompleteExprType instead if a diagnostic is expected for an
/// incomplete expression type.
QualType getCompletedType(Expr *E);
void completeExprArrayBound(Expr *E);
bool RequireCompleteExprType(Expr *E, CompleteTypeKind Kind,
TypeDiagnoser &Diagnoser);
bool RequireCompleteExprType(Expr *E, unsigned DiagID);
template <typename... Ts>
bool RequireCompleteExprType(Expr *E, unsigned DiagID, const Ts &...Args) {
BoundTypeDiagnoser<Ts...> Diagnoser(DiagID, Args...);
return RequireCompleteExprType(E, CompleteTypeKind::Default, Diagnoser);
}
template <typename... Ts>
bool RequireCompleteSizedExprType(Expr *E, unsigned DiagID,
const Ts &... Args) {
SizelessTypeDiagnoser<Ts...> Diagnoser(DiagID, Args...);
return RequireCompleteExprType(E, CompleteTypeKind::Normal, Diagnoser);
}
bool RequireLiteralType(SourceLocation Loc, QualType T,
TypeDiagnoser &Diagnoser);
bool RequireLiteralType(SourceLocation Loc, QualType T, unsigned DiagID);
template <typename... Ts>
bool RequireLiteralType(SourceLocation Loc, QualType T, unsigned DiagID,
const Ts &...Args) {
BoundTypeDiagnoser<Ts...> Diagnoser(DiagID, Args...);
return RequireLiteralType(Loc, T, Diagnoser);
}
QualType getElaboratedType(ElaboratedTypeKeyword Keyword,
const CXXScopeSpec &SS, QualType T,
TagDecl *OwnedTagDecl = nullptr);
// Returns the underlying type of a decltype with the given expression.
QualType getDecltypeForExpr(Expr *E);
QualType BuildTypeofExprType(Expr *E);
/// If AsUnevaluated is false, E is treated as though it were an evaluated
/// context, such as when building a type for decltype(auto).
QualType BuildDecltypeType(Expr *E, bool AsUnevaluated = true);
QualType BuildUnaryTransformType(QualType BaseType,
UnaryTransformType::UTTKind UKind,
SourceLocation Loc);
//===--------------------------------------------------------------------===//
// Symbol table / Decl tracking callbacks: SemaDecl.cpp.
//
struct SkipBodyInfo {
SkipBodyInfo()
: ShouldSkip(false), CheckSameAsPrevious(false), Previous(nullptr),
New(nullptr) {}
bool ShouldSkip;
bool CheckSameAsPrevious;
NamedDecl *Previous;
NamedDecl *New;
};
DeclGroupPtrTy ConvertDeclToDeclGroup(Decl *Ptr, Decl *OwnedType = nullptr);
void DiagnoseUseOfUnimplementedSelectors();
bool isSimpleTypeSpecifier(tok::TokenKind Kind) const;
ParsedType getTypeName(const IdentifierInfo &II, SourceLocation NameLoc,
Scope *S, CXXScopeSpec *SS = nullptr,
bool isClassName = false, bool HasTrailingDot = false,
ParsedType ObjectType = nullptr,
bool IsCtorOrDtorName = false,
bool WantNontrivialTypeSourceInfo = false,
bool IsClassTemplateDeductionContext = true,
IdentifierInfo **CorrectedII = nullptr);
TypeSpecifierType isTagName(IdentifierInfo &II, Scope *S);
bool isMicrosoftMissingTypename(const CXXScopeSpec *SS, Scope *S);
void DiagnoseUnknownTypeName(IdentifierInfo *&II,
SourceLocation IILoc,
Scope *S,
CXXScopeSpec *SS,
ParsedType &SuggestedType,
bool IsTemplateName = false);
/// Attempt to behave like MSVC in situations where lookup of an unqualified
/// type name has failed in a dependent context. In these situations, we
/// automatically form a DependentTypeName that will retry lookup in a related
/// scope during instantiation.
ParsedType ActOnMSVCUnknownTypeName(const IdentifierInfo &II,
SourceLocation NameLoc,
bool IsTemplateTypeArg);
/// Describes the result of the name lookup and resolution performed
/// by \c ClassifyName().
enum NameClassificationKind {
/// This name is not a type or template in this context, but might be
/// something else.
NC_Unknown,
/// Classification failed; an error has been produced.
NC_Error,
/// The name has been typo-corrected to a keyword.
NC_Keyword,
/// The name was classified as a type.
NC_Type,
/// The name was classified as a specific non-type, non-template
/// declaration. ActOnNameClassifiedAsNonType should be called to
/// convert the declaration to an expression.
NC_NonType,
/// The name was classified as an ADL-only function name.
/// ActOnNameClassifiedAsUndeclaredNonType should be called to convert the
/// result to an expression.
NC_UndeclaredNonType,
/// The name denotes a member of a dependent type that could not be
/// resolved. ActOnNameClassifiedAsDependentNonType should be called to
/// convert the result to an expression.
NC_DependentNonType,
/// The name was classified as an overload set, and an expression
/// representing that overload set has been formed.
/// ActOnNameClassifiedAsOverloadSet should be called to form a suitable
/// expression referencing the overload set.
NC_OverloadSet,
/// The name was classified as a template whose specializations are types.
NC_TypeTemplate,
/// The name was classified as a variable template name.
NC_VarTemplate,
/// The name was classified as a function template name.
NC_FunctionTemplate,
/// The name was classified as an ADL-only function template name.
NC_UndeclaredTemplate,
/// The name was classified as a concept name.
NC_Concept,
};
class NameClassification {
NameClassificationKind Kind;
union {
ExprResult Expr;
NamedDecl *NonTypeDecl;
TemplateName Template;
ParsedType Type;
};
explicit NameClassification(NameClassificationKind Kind) : Kind(Kind) {}
public:
NameClassification(ParsedType Type) : Kind(NC_Type), Type(Type) {}
NameClassification(const IdentifierInfo *Keyword) : Kind(NC_Keyword) {}
static NameClassification Error() {
return NameClassification(NC_Error);
}
static NameClassification Unknown() {
return NameClassification(NC_Unknown);
}
static NameClassification OverloadSet(ExprResult E) {
NameClassification Result(NC_OverloadSet);
Result.Expr = E;
return Result;
}
static NameClassification NonType(NamedDecl *D) {
NameClassification Result(NC_NonType);
Result.NonTypeDecl = D;
return Result;
}
static NameClassification UndeclaredNonType() {
return NameClassification(NC_UndeclaredNonType);
}
static NameClassification DependentNonType() {
return NameClassification(NC_DependentNonType);
}
static NameClassification TypeTemplate(TemplateName Name) {
NameClassification Result(NC_TypeTemplate);
Result.Template = Name;
return Result;
}
static NameClassification VarTemplate(TemplateName Name) {
NameClassification Result(NC_VarTemplate);
Result.Template = Name;
return Result;
}
static NameClassification FunctionTemplate(TemplateName Name) {
NameClassification Result(NC_FunctionTemplate);
Result.Template = Name;
return Result;
}
static NameClassification Concept(TemplateName Name) {
NameClassification Result(NC_Concept);
Result.Template = Name;
return Result;
}
static NameClassification UndeclaredTemplate(TemplateName Name) {
NameClassification Result(NC_UndeclaredTemplate);
Result.Template = Name;
return Result;
}
NameClassificationKind getKind() const { return Kind; }
ExprResult getExpression() const {
assert(Kind == NC_OverloadSet);
return Expr;
}
ParsedType getType() const {
assert(Kind == NC_Type);
return Type;
}
NamedDecl *getNonTypeDecl() const {
assert(Kind == NC_NonType);
return NonTypeDecl;
}
TemplateName getTemplateName() const {
assert(Kind == NC_TypeTemplate || Kind == NC_FunctionTemplate ||
Kind == NC_VarTemplate || Kind == NC_Concept ||
Kind == NC_UndeclaredTemplate);
return Template;
}
TemplateNameKind getTemplateNameKind() const {
switch (Kind) {
case NC_TypeTemplate:
return TNK_Type_template;
case NC_FunctionTemplate:
return TNK_Function_template;
case NC_VarTemplate:
return TNK_Var_template;
case NC_Concept:
return TNK_Concept_template;
case NC_UndeclaredTemplate:
return TNK_Undeclared_template;
default:
llvm_unreachable("unsupported name classification.");
}
}
};
/// Perform name lookup on the given name, classifying it based on
/// the results of name lookup and the following token.
///
/// This routine is used by the parser to resolve identifiers and help direct
/// parsing. When the identifier cannot be found, this routine will attempt
/// to correct the typo and classify based on the resulting name.
///
/// \param S The scope in which we're performing name lookup.
///
/// \param SS The nested-name-specifier that precedes the name.
///
/// \param Name The identifier. If typo correction finds an alternative name,
/// this pointer parameter will be updated accordingly.
///
/// \param NameLoc The location of the identifier.
///
/// \param NextToken The token following the identifier. Used to help
/// disambiguate the name.
///
/// \param CCC The correction callback, if typo correction is desired.
NameClassification ClassifyName(Scope *S, CXXScopeSpec &SS,
IdentifierInfo *&Name, SourceLocation NameLoc,
const Token &NextToken,
CorrectionCandidateCallback *CCC = nullptr);
/// Act on the result of classifying a name as an undeclared (ADL-only)
/// non-type declaration.
ExprResult ActOnNameClassifiedAsUndeclaredNonType(IdentifierInfo *Name,
SourceLocation NameLoc);
/// Act on the result of classifying a name as an undeclared member of a
/// dependent base class.
ExprResult ActOnNameClassifiedAsDependentNonType(const CXXScopeSpec &SS,
IdentifierInfo *Name,
SourceLocation NameLoc,
bool IsAddressOfOperand);
/// Act on the result of classifying a name as a specific non-type
/// declaration.
ExprResult ActOnNameClassifiedAsNonType(Scope *S, const CXXScopeSpec &SS,
NamedDecl *Found,
SourceLocation NameLoc,
const Token &NextToken);
/// Act on the result of classifying a name as an overload set.
ExprResult ActOnNameClassifiedAsOverloadSet(Scope *S, Expr *OverloadSet);
/// Describes the detailed kind of a template name. Used in diagnostics.
enum class TemplateNameKindForDiagnostics {
ClassTemplate,
FunctionTemplate,
VarTemplate,
AliasTemplate,
TemplateTemplateParam,
Concept,
DependentTemplate
};
TemplateNameKindForDiagnostics
getTemplateNameKindForDiagnostics(TemplateName Name);
/// Determine whether it's plausible that E was intended to be a
/// template-name.
bool mightBeIntendedToBeTemplateName(ExprResult E, bool &Dependent) {
if (!getLangOpts().CPlusPlus || E.isInvalid())
return false;
Dependent = false;
if (auto *DRE = dyn_cast<DeclRefExpr>(E.get()))
return !DRE->hasExplicitTemplateArgs();
if (auto *ME = dyn_cast<MemberExpr>(E.get()))
return !ME->hasExplicitTemplateArgs();
Dependent = true;
if (auto *DSDRE = dyn_cast<DependentScopeDeclRefExpr>(E.get()))
return !DSDRE->hasExplicitTemplateArgs();
if (auto *DSME = dyn_cast<CXXDependentScopeMemberExpr>(E.get()))
return !DSME->hasExplicitTemplateArgs();
// Any additional cases recognized here should also be handled by
// diagnoseExprIntendedAsTemplateName.
return false;
}
void diagnoseExprIntendedAsTemplateName(Scope *S, ExprResult TemplateName,
SourceLocation Less,
SourceLocation Greater);
void warnOnReservedIdentifier(const NamedDecl *D);
Decl *ActOnDeclarator(Scope *S, Declarator &D);
NamedDecl *HandleDeclarator(Scope *S, Declarator &D,
MultiTemplateParamsArg TemplateParameterLists);
bool tryToFixVariablyModifiedVarType(TypeSourceInfo *&TInfo,
QualType &T, SourceLocation Loc,
unsigned FailedFoldDiagID);
void RegisterLocallyScopedExternCDecl(NamedDecl *ND, Scope *S);
bool DiagnoseClassNameShadow(DeclContext *DC, DeclarationNameInfo Info);
bool diagnoseQualifiedDeclaration(CXXScopeSpec &SS, DeclContext *DC,
DeclarationName Name, SourceLocation Loc,
bool IsTemplateId);
void
diagnoseIgnoredQualifiers(unsigned DiagID, unsigned Quals,
SourceLocation FallbackLoc,
SourceLocation ConstQualLoc = SourceLocation(),
SourceLocation VolatileQualLoc = SourceLocation(),
SourceLocation RestrictQualLoc = SourceLocation(),
SourceLocation AtomicQualLoc = SourceLocation(),
SourceLocation UnalignedQualLoc = SourceLocation());
void diagnosePointerAuthDisabled(SourceLocation loc, SourceRange range);
bool checkConstantPointerAuthKey(Expr *keyExpr, unsigned &key);
static bool adjustContextForLocalExternDecl(DeclContext *&DC);
void DiagnoseFunctionSpecifiers(const DeclSpec &DS);
NamedDecl *getShadowedDeclaration(const TypedefNameDecl *D,
const LookupResult &R);
NamedDecl *getShadowedDeclaration(const VarDecl *D, const LookupResult &R);
NamedDecl *getShadowedDeclaration(const BindingDecl *D,
const LookupResult &R);
void CheckShadow(NamedDecl *D, NamedDecl *ShadowedDecl,
const LookupResult &R);
void CheckShadow(Scope *S, VarDecl *D);
/// Warn if 'E', which is an expression that is about to be modified, refers
/// to a shadowing declaration.
void CheckShadowingDeclModification(Expr *E, SourceLocation Loc);
void DiagnoseShadowingLambdaDecls(const sema::LambdaScopeInfo *LSI);
private:
/// Map of current shadowing declarations to shadowed declarations. Warn if
/// it looks like the user is trying to modify the shadowing declaration.
llvm::DenseMap<const NamedDecl *, const NamedDecl *> ShadowingDecls;
public:
void CheckCastAlign(Expr *Op, QualType T, SourceRange TRange);
void handleTagNumbering(const TagDecl *Tag, Scope *TagScope);
void setTagNameForLinkagePurposes(TagDecl *TagFromDeclSpec,
TypedefNameDecl *NewTD);
void CheckTypedefForVariablyModifiedType(Scope *S, TypedefNameDecl *D);
NamedDecl* ActOnTypedefDeclarator(Scope* S, Declarator& D, DeclContext* DC,
TypeSourceInfo *TInfo,
LookupResult &Previous);
NamedDecl* ActOnTypedefNameDecl(Scope* S, DeclContext* DC, TypedefNameDecl *D,
LookupResult &Previous, bool &Redeclaration);
NamedDecl *ActOnVariableDeclarator(Scope *S, Declarator &D, DeclContext *DC,
TypeSourceInfo *TInfo,
LookupResult &Previous,
MultiTemplateParamsArg TemplateParamLists,
bool &AddToScope,
ArrayRef<BindingDecl *> Bindings = None);
NamedDecl *
ActOnDecompositionDeclarator(Scope *S, Declarator &D,
MultiTemplateParamsArg TemplateParamLists);
// Returns true if the variable declaration is a redeclaration
bool CheckVariableDeclaration(VarDecl *NewVD, LookupResult &Previous);
void CheckVariableDeclarationType(VarDecl *NewVD);
bool DeduceVariableDeclarationType(VarDecl *VDecl, bool DirectInit,
Expr *Init);
void CheckCompleteVariableDeclaration(VarDecl *VD);
void CheckCompleteDecompositionDeclaration(DecompositionDecl *DD);
void MaybeSuggestAddingStaticToDecl(const FunctionDecl *D);
NamedDecl* ActOnFunctionDeclarator(Scope* S, Declarator& D, DeclContext* DC,
TypeSourceInfo *TInfo,
LookupResult &Previous,
MultiTemplateParamsArg TemplateParamLists,
bool &AddToScope);
bool AddOverriddenMethods(CXXRecordDecl *DC, CXXMethodDecl *MD);
enum class CheckConstexprKind {
/// Diagnose issues that are non-constant or that are extensions.
Diagnose,
/// Identify whether this function satisfies the formal rules for constexpr
/// functions in the current lanugage mode (with no extensions).
CheckValid
};
bool CheckConstexprFunctionDefinition(const FunctionDecl *FD,
CheckConstexprKind Kind);
void DiagnoseHiddenVirtualMethods(CXXMethodDecl *MD);
void FindHiddenVirtualMethods(CXXMethodDecl *MD,
SmallVectorImpl<CXXMethodDecl*> &OverloadedMethods);
void NoteHiddenVirtualMethods(CXXMethodDecl *MD,
SmallVectorImpl<CXXMethodDecl*> &OverloadedMethods);
// Returns true if the function declaration is a redeclaration
bool CheckFunctionDeclaration(Scope *S,
FunctionDecl *NewFD, LookupResult &Previous,
bool IsMemberSpecialization);
bool shouldLinkDependentDeclWithPrevious(Decl *D, Decl *OldDecl);
bool canFullyTypeCheckRedeclaration(ValueDecl *NewD, ValueDecl *OldD,
QualType NewT, QualType OldT);
void CheckMain(FunctionDecl *FD, const DeclSpec &D);
void CheckMSVCRTEntryPoint(FunctionDecl *FD);
Attr *getImplicitCodeSegOrSectionAttrForFunction(const FunctionDecl *FD,
bool IsDefinition);
void CheckFunctionOrTemplateParamDeclarator(Scope *S, Declarator &D);
Decl *ActOnParamDeclarator(Scope *S, Declarator &D);
ParmVarDecl *BuildParmVarDeclForTypedef(DeclContext *DC,
SourceLocation Loc,
QualType T);
QualType adjustParameterTypeForObjCAutoRefCount(QualType T,
SourceLocation NameLoc,
TypeSourceInfo *TSInfo);
ParmVarDecl *CheckParameter(DeclContext *DC, SourceLocation StartLoc,
SourceLocation NameLoc, IdentifierInfo *Name,
QualType T, TypeSourceInfo *TSInfo,
StorageClass SC);
void ActOnParamDefaultArgument(Decl *param,
SourceLocation EqualLoc,
Expr *defarg);
void ActOnParamUnparsedDefaultArgument(Decl *param, SourceLocation EqualLoc,
SourceLocation ArgLoc);
void ActOnParamDefaultArgumentError(Decl *param, SourceLocation EqualLoc);
ExprResult ConvertParamDefaultArgument(ParmVarDecl *Param, Expr *DefaultArg,
SourceLocation EqualLoc);
void SetParamDefaultArgument(ParmVarDecl *Param, Expr *DefaultArg,
SourceLocation EqualLoc);
// Contexts where using non-trivial C union types can be disallowed. This is
// passed to err_non_trivial_c_union_in_invalid_context.
enum NonTrivialCUnionContext {
// Function parameter.
NTCUC_FunctionParam,
// Function return.
NTCUC_FunctionReturn,
// Default-initialized object.
NTCUC_DefaultInitializedObject,
// Variable with automatic storage duration.
NTCUC_AutoVar,
// Initializer expression that might copy from another object.
NTCUC_CopyInit,
// Assignment.
NTCUC_Assignment,
// Compound literal.
NTCUC_CompoundLiteral,
// Block capture.
NTCUC_BlockCapture,
// lvalue-to-rvalue conversion of volatile type.
NTCUC_LValueToRValueVolatile,
};
/// Emit diagnostics if the initializer or any of its explicit or
/// implicitly-generated subexpressions require copying or
/// default-initializing a type that is or contains a C union type that is
/// non-trivial to copy or default-initialize.
void checkNonTrivialCUnionInInitializer(const Expr *Init, SourceLocation Loc);
// These flags are passed to checkNonTrivialCUnion.
enum NonTrivialCUnionKind {
NTCUK_Init = 0x1,
NTCUK_Destruct = 0x2,
NTCUK_Copy = 0x4,
};
/// Emit diagnostics if a non-trivial C union type or a struct that contains
/// a non-trivial C union is used in an invalid context.
void checkNonTrivialCUnion(QualType QT, SourceLocation Loc,
NonTrivialCUnionContext UseContext,
unsigned NonTrivialKind);
void AddInitializerToDecl(Decl *dcl, Expr *init, bool DirectInit);
void ActOnUninitializedDecl(Decl *dcl);
void ActOnInitializerError(Decl *Dcl);
void ActOnPureSpecifier(Decl *D, SourceLocation PureSpecLoc);
void ActOnCXXForRangeDecl(Decl *D);
StmtResult ActOnCXXForRangeIdentifier(Scope *S, SourceLocation IdentLoc,
IdentifierInfo *Ident,
ParsedAttributes &Attrs,
SourceLocation AttrEnd);
void SetDeclDeleted(Decl *dcl, SourceLocation DelLoc);
void SetDeclDefaulted(Decl *dcl, SourceLocation DefaultLoc);
void CheckStaticLocalForDllExport(VarDecl *VD);
void FinalizeDeclaration(Decl *D);
DeclGroupPtrTy FinalizeDeclaratorGroup(Scope *S, const DeclSpec &DS,
ArrayRef<Decl *> Group);
DeclGroupPtrTy BuildDeclaratorGroup(MutableArrayRef<Decl *> Group);
/// Should be called on all declarations that might have attached
/// documentation comments.
void ActOnDocumentableDecl(Decl *D);
void ActOnDocumentableDecls(ArrayRef<Decl *> Group);
void ActOnFinishKNRParamDeclarations(Scope *S, Declarator &D,
SourceLocation LocAfterDecls);
void CheckForFunctionRedefinition(
FunctionDecl *FD, const FunctionDecl *EffectiveDefinition = nullptr,
SkipBodyInfo *SkipBody = nullptr);
Decl *ActOnStartOfFunctionDef(Scope *S, Declarator &D,
MultiTemplateParamsArg TemplateParamLists,
SkipBodyInfo *SkipBody = nullptr);
Decl *ActOnStartOfFunctionDef(Scope *S, Decl *D,
SkipBodyInfo *SkipBody = nullptr);
void ActOnStartTrailingRequiresClause(Scope *S, Declarator &D);
ExprResult ActOnFinishTrailingRequiresClause(ExprResult ConstraintExpr);
ExprResult ActOnRequiresClause(ExprResult ConstraintExpr);
void ActOnStartOfObjCMethodDef(Scope *S, Decl *D);
bool isObjCMethodDecl(Decl *D) {
return D && isa<ObjCMethodDecl>(D);
}
/// Determine whether we can delay parsing the body of a function or
/// function template until it is used, assuming we don't care about emitting
/// code for that function.
///
/// This will be \c false if we may need the body of the function in the
/// middle of parsing an expression (where it's impractical to switch to
/// parsing a different function), for instance, if it's constexpr in C++11
/// or has an 'auto' return type in C++14. These cases are essentially bugs.
bool canDelayFunctionBody(const Declarator &D);
/// Determine whether we can skip parsing the body of a function
/// definition, assuming we don't care about analyzing its body or emitting
/// code for that function.
///
/// This will be \c false only if we may need the body of the function in
/// order to parse the rest of the program (for instance, if it is
/// \c constexpr in C++11 or has an 'auto' return type in C++14).
bool canSkipFunctionBody(Decl *D);
void computeNRVO(Stmt *Body, sema::FunctionScopeInfo *Scope);
Decl *ActOnFinishFunctionBody(Decl *Decl, Stmt *Body);
Decl *ActOnFinishFunctionBody(Decl *Decl, Stmt *Body, bool IsInstantiation);
Decl *ActOnSkippedFunctionBody(Decl *Decl);
void ActOnFinishInlineFunctionDef(FunctionDecl *D);
/// ActOnFinishDelayedAttribute - Invoked when we have finished parsing an
/// attribute for which parsing is delayed.
void ActOnFinishDelayedAttribute(Scope *S, Decl *D, ParsedAttributes &Attrs);
/// Diagnose any unused parameters in the given sequence of
/// ParmVarDecl pointers.
void DiagnoseUnusedParameters(ArrayRef<ParmVarDecl *> Parameters);
/// Diagnose whether the size of parameters or return value of a
/// function or obj-c method definition is pass-by-value and larger than a
/// specified threshold.
void
DiagnoseSizeOfParametersAndReturnValue(ArrayRef<ParmVarDecl *> Parameters,
QualType ReturnTy, NamedDecl *D);
void DiagnoseInvalidJumps(Stmt *Body);
Decl *ActOnFileScopeAsmDecl(Expr *expr,
SourceLocation AsmLoc,
SourceLocation RParenLoc);
/// Handle a C++11 empty-declaration and attribute-declaration.
Decl *ActOnEmptyDeclaration(Scope *S, const ParsedAttributesView &AttrList,
SourceLocation SemiLoc);
enum class ModuleDeclKind {
Interface, ///< 'export module X;'
Implementation, ///< 'module X;'
};
/// The parser has processed a module-declaration that begins the definition
/// of a module interface or implementation.
DeclGroupPtrTy ActOnModuleDecl(SourceLocation StartLoc,
SourceLocation ModuleLoc, ModuleDeclKind MDK,
ModuleIdPath Path, bool IsFirstDecl);
/// The parser has processed a global-module-fragment declaration that begins
/// the definition of the global module fragment of the current module unit.
/// \param ModuleLoc The location of the 'module' keyword.
DeclGroupPtrTy ActOnGlobalModuleFragmentDecl(SourceLocation ModuleLoc);
/// The parser has processed a private-module-fragment declaration that begins
/// the definition of the private module fragment of the current module unit.
/// \param ModuleLoc The location of the 'module' keyword.
/// \param PrivateLoc The location of the 'private' keyword.
DeclGroupPtrTy ActOnPrivateModuleFragmentDecl(SourceLocation ModuleLoc,
SourceLocation PrivateLoc);
/// The parser has processed a module import declaration.
///
/// \param StartLoc The location of the first token in the declaration. This
/// could be the location of an '@', 'export', or 'import'.
/// \param ExportLoc The location of the 'export' keyword, if any.
/// \param ImportLoc The location of the 'import' keyword.
/// \param Path The module access path.
DeclResult ActOnModuleImport(SourceLocation StartLoc,
SourceLocation ExportLoc,
SourceLocation ImportLoc, ModuleIdPath Path);
DeclResult ActOnModuleImport(SourceLocation StartLoc,
SourceLocation ExportLoc,
SourceLocation ImportLoc, Module *M,
ModuleIdPath Path = {});
/// The parser has processed a module import translated from a
/// #include or similar preprocessing directive.
void ActOnModuleInclude(SourceLocation DirectiveLoc, Module *Mod);
void BuildModuleInclude(SourceLocation DirectiveLoc, Module *Mod);
/// The parsed has entered a submodule.
void ActOnModuleBegin(SourceLocation DirectiveLoc, Module *Mod);
/// The parser has left a submodule.
void ActOnModuleEnd(SourceLocation DirectiveLoc, Module *Mod);
/// Create an implicit import of the given module at the given
/// source location, for error recovery, if possible.
///
/// This routine is typically used when an entity found by name lookup
/// is actually hidden within a module that we know about but the user
/// has forgotten to import.
void createImplicitModuleImportForErrorRecovery(SourceLocation Loc,
Module *Mod);
/// Kinds of missing import. Note, the values of these enumerators correspond
/// to %select values in diagnostics.
enum class MissingImportKind {
Declaration,
Definition,
DefaultArgument,
ExplicitSpecialization,
PartialSpecialization
};
/// Diagnose that the specified declaration needs to be visible but
/// isn't, and suggest a module import that would resolve the problem.
void diagnoseMissingImport(SourceLocation Loc, NamedDecl *Decl,
MissingImportKind MIK, bool Recover = true);
void diagnoseMissingImport(SourceLocation Loc, NamedDecl *Decl,
SourceLocation DeclLoc, ArrayRef<Module *> Modules,
MissingImportKind MIK, bool Recover);
Decl *ActOnStartExportDecl(Scope *S, SourceLocation ExportLoc,
SourceLocation LBraceLoc);
Decl *ActOnFinishExportDecl(Scope *S, Decl *ExportDecl,
SourceLocation RBraceLoc);
/// We've found a use of a templated declaration that would trigger an
/// implicit instantiation. Check that any relevant explicit specializations
/// and partial specializations are visible, and diagnose if not.
void checkSpecializationVisibility(SourceLocation Loc, NamedDecl *Spec);
/// Retrieve a suitable printing policy for diagnostics.
PrintingPolicy getPrintingPolicy() const {
return getPrintingPolicy(Context, PP);
}
/// Retrieve a suitable printing policy for diagnostics.
static PrintingPolicy getPrintingPolicy(const ASTContext &Ctx,
const Preprocessor &PP);
/// Scope actions.
void ActOnPopScope(SourceLocation Loc, Scope *S);
void ActOnTranslationUnitScope(Scope *S);
Decl *ParsedFreeStandingDeclSpec(Scope *S, AccessSpecifier AS, DeclSpec &DS,
RecordDecl *&AnonRecord);
Decl *ParsedFreeStandingDeclSpec(Scope *S, AccessSpecifier AS, DeclSpec &DS,
MultiTemplateParamsArg TemplateParams,
bool IsExplicitInstantiation,
RecordDecl *&AnonRecord);
Decl *BuildAnonymousStructOrUnion(Scope *S, DeclSpec &DS,
AccessSpecifier AS,
RecordDecl *Record,
const PrintingPolicy &Policy);
Decl *BuildMicrosoftCAnonymousStruct(Scope *S, DeclSpec &DS,
RecordDecl *Record);
/// Common ways to introduce type names without a tag for use in diagnostics.
/// Keep in sync with err_tag_reference_non_tag.
enum NonTagKind {
NTK_NonStruct,
NTK_NonClass,
NTK_NonUnion,
NTK_NonEnum,
NTK_Typedef,
NTK_TypeAlias,
NTK_Template,
NTK_TypeAliasTemplate,
NTK_TemplateTemplateArgument,
};
/// Given a non-tag type declaration, returns an enum useful for indicating
/// what kind of non-tag type this is.
NonTagKind getNonTagTypeDeclKind(const Decl *D, TagTypeKind TTK);
bool isAcceptableTagRedeclaration(const TagDecl *Previous,
TagTypeKind NewTag, bool isDefinition,
SourceLocation NewTagLoc,
const IdentifierInfo *Name);
enum TagUseKind {
TUK_Reference, // Reference to a tag: 'struct foo *X;'
TUK_Declaration, // Fwd decl of a tag: 'struct foo;'
TUK_Definition, // Definition of a tag: 'struct foo { int X; } Y;'
TUK_Friend // Friend declaration: 'friend struct foo;'
};
Decl *ActOnTag(Scope *S, unsigned TagSpec, TagUseKind TUK,
SourceLocation KWLoc, CXXScopeSpec &SS, IdentifierInfo *Name,
SourceLocation NameLoc, const ParsedAttributesView &Attr,
AccessSpecifier AS, SourceLocation ModulePrivateLoc,
MultiTemplateParamsArg TemplateParameterLists, bool &OwnedDecl,
bool &IsDependent, SourceLocation ScopedEnumKWLoc,
bool ScopedEnumUsesClassTag, TypeResult UnderlyingType,
bool IsTypeSpecifier, bool IsTemplateParamOrArg,
SkipBodyInfo *SkipBody = nullptr);
Decl *ActOnTemplatedFriendTag(Scope *S, SourceLocation FriendLoc,
unsigned TagSpec, SourceLocation TagLoc,
CXXScopeSpec &SS, IdentifierInfo *Name,
SourceLocation NameLoc,
const ParsedAttributesView &Attr,
MultiTemplateParamsArg TempParamLists);
TypeResult ActOnDependentTag(Scope *S,
unsigned TagSpec,
TagUseKind TUK,
const CXXScopeSpec &SS,
IdentifierInfo *Name,
SourceLocation TagLoc,
SourceLocation NameLoc);
void ActOnDefs(Scope *S, Decl *TagD, SourceLocation DeclStart,
IdentifierInfo *ClassName,
SmallVectorImpl<Decl *> &Decls);
Decl *ActOnField(Scope *S, Decl *TagD, SourceLocation DeclStart,
Declarator &D, Expr *BitfieldWidth);
FieldDecl *HandleField(Scope *S, RecordDecl *TagD, SourceLocation DeclStart,
Declarator &D, Expr *BitfieldWidth,
InClassInitStyle InitStyle,
AccessSpecifier AS);
MSPropertyDecl *HandleMSProperty(Scope *S, RecordDecl *TagD,
SourceLocation DeclStart, Declarator &D,
Expr *BitfieldWidth,
InClassInitStyle InitStyle,
AccessSpecifier AS,
const ParsedAttr &MSPropertyAttr);
FieldDecl *CheckFieldDecl(DeclarationName Name, QualType T,
TypeSourceInfo *TInfo,
RecordDecl *Record, SourceLocation Loc,
bool Mutable, Expr *BitfieldWidth,
InClassInitStyle InitStyle,
SourceLocation TSSL,
AccessSpecifier AS, NamedDecl *PrevDecl,
Declarator *D = nullptr);
bool CheckNontrivialField(FieldDecl *FD);
void DiagnoseNontrivial(const CXXRecordDecl *Record, CXXSpecialMember CSM);
enum TrivialABIHandling {
/// The triviality of a method unaffected by "trivial_abi".
TAH_IgnoreTrivialABI,
/// The triviality of a method affected by "trivial_abi".
TAH_ConsiderTrivialABI
};
bool SpecialMemberIsTrivial(CXXMethodDecl *MD, CXXSpecialMember CSM,
TrivialABIHandling TAH = TAH_IgnoreTrivialABI,
bool Diagnose = false);
/// For a defaulted function, the kind of defaulted function that it is.
class DefaultedFunctionKind {
CXXSpecialMember SpecialMember : 8;
DefaultedComparisonKind Comparison : 8;
public:
DefaultedFunctionKind()
: SpecialMember(CXXInvalid), Comparison(DefaultedComparisonKind::None) {
}
DefaultedFunctionKind(CXXSpecialMember CSM)
: SpecialMember(CSM), Comparison(DefaultedComparisonKind::None) {}
DefaultedFunctionKind(DefaultedComparisonKind Comp)
: SpecialMember(CXXInvalid), Comparison(Comp) {}
bool isSpecialMember() const { return SpecialMember != CXXInvalid; }
bool isComparison() const {
return Comparison != DefaultedComparisonKind::None;
}
explicit operator bool() const {
return isSpecialMember() || isComparison();
}
CXXSpecialMember asSpecialMember() const { return SpecialMember; }
DefaultedComparisonKind asComparison() const { return Comparison; }
/// Get the index of this function kind for use in diagnostics.
unsigned getDiagnosticIndex() const {
static_assert(CXXInvalid > CXXDestructor,
"invalid should have highest index");
static_assert((unsigned)DefaultedComparisonKind::None == 0,
"none should be equal to zero");
return SpecialMember + (unsigned)Comparison;
}
};
DefaultedFunctionKind getDefaultedFunctionKind(const FunctionDecl *FD);
CXXSpecialMember getSpecialMember(const CXXMethodDecl *MD) {
return getDefaultedFunctionKind(MD).asSpecialMember();
}
DefaultedComparisonKind getDefaultedComparisonKind(const FunctionDecl *FD) {
return getDefaultedFunctionKind(FD).asComparison();
}
void ActOnLastBitfield(SourceLocation DeclStart,
SmallVectorImpl<Decl *> &AllIvarDecls);
Decl *ActOnIvar(Scope *S, SourceLocation DeclStart,
Declarator &D, Expr *BitfieldWidth,
tok::ObjCKeywordKind visibility);
// This is used for both record definitions and ObjC interface declarations.
void ActOnFields(Scope *S, SourceLocation RecLoc, Decl *TagDecl,
ArrayRef<Decl *> Fields, SourceLocation LBrac,
SourceLocation RBrac, const ParsedAttributesView &AttrList);
/// ActOnTagStartDefinition - Invoked when we have entered the
/// scope of a tag's definition (e.g., for an enumeration, class,
/// struct, or union).
void ActOnTagStartDefinition(Scope *S, Decl *TagDecl);
/// Perform ODR-like check for C/ObjC when merging tag types from modules.
/// Differently from C++, actually parse the body and reject / error out
/// in case of a structural mismatch.
bool ActOnDuplicateDefinition(DeclSpec &DS, Decl *Prev,
SkipBodyInfo &SkipBody);
typedef void *SkippedDefinitionContext;
/// Invoked when we enter a tag definition that we're skipping.
SkippedDefinitionContext ActOnTagStartSkippedDefinition(Scope *S, Decl *TD);
Decl *ActOnObjCContainerStartDefinition(Decl *IDecl);
/// ActOnStartCXXMemberDeclarations - Invoked when we have parsed a
/// C++ record definition's base-specifiers clause and are starting its
/// member declarations.
void ActOnStartCXXMemberDeclarations(Scope *S, Decl *TagDecl,
SourceLocation FinalLoc,
bool IsFinalSpelledSealed,
bool IsAbstract,
SourceLocation LBraceLoc);
/// ActOnTagFinishDefinition - Invoked once we have finished parsing
/// the definition of a tag (enumeration, class, struct, or union).
void ActOnTagFinishDefinition(Scope *S, Decl *TagDecl,
SourceRange BraceRange);
void ActOnTagFinishSkippedDefinition(SkippedDefinitionContext Context);
void ActOnObjCContainerFinishDefinition();
/// Invoked when we must temporarily exit the objective-c container
/// scope for parsing/looking-up C constructs.
///
/// Must be followed by a call to \see ActOnObjCReenterContainerContext
void ActOnObjCTemporaryExitContainerContext(DeclContext *DC);
void ActOnObjCReenterContainerContext(DeclContext *DC);
/// ActOnTagDefinitionError - Invoked when there was an unrecoverable
/// error parsing the definition of a tag.
void ActOnTagDefinitionError(Scope *S, Decl *TagDecl);
EnumConstantDecl *CheckEnumConstant(EnumDecl *Enum,
EnumConstantDecl *LastEnumConst,
SourceLocation IdLoc,
IdentifierInfo *Id,
Expr *val);
bool CheckEnumUnderlyingType(TypeSourceInfo *TI);
bool CheckEnumRedeclaration(SourceLocation EnumLoc, bool IsScoped,
QualType EnumUnderlyingTy, bool IsFixed,
const EnumDecl *Prev);
/// Determine whether the body of an anonymous enumeration should be skipped.
/// \param II The name of the first enumerator.
SkipBodyInfo shouldSkipAnonEnumBody(Scope *S, IdentifierInfo *II,
SourceLocation IILoc);
Decl *ActOnEnumConstant(Scope *S, Decl *EnumDecl, Decl *LastEnumConstant,
SourceLocation IdLoc, IdentifierInfo *Id,
const ParsedAttributesView &Attrs,
SourceLocation EqualLoc, Expr *Val);
void ActOnEnumBody(SourceLocation EnumLoc, SourceRange BraceRange,
Decl *EnumDecl, ArrayRef<Decl *> Elements, Scope *S,
const ParsedAttributesView &Attr);
/// Set the current declaration context until it gets popped.
void PushDeclContext(Scope *S, DeclContext *DC);
void PopDeclContext();
/// EnterDeclaratorContext - Used when we must lookup names in the context
/// of a declarator's nested name specifier.
void EnterDeclaratorContext(Scope *S, DeclContext *DC);
void ExitDeclaratorContext(Scope *S);
/// Enter a template parameter scope, after it's been associated with a particular
/// DeclContext. Causes lookup within the scope to chain through enclosing contexts
/// in the correct order.
void EnterTemplatedContext(Scope *S, DeclContext *DC);
/// Push the parameters of D, which must be a function, into scope.
void ActOnReenterFunctionContext(Scope* S, Decl* D);
void ActOnExitFunctionContext();
DeclContext *getFunctionLevelDeclContext();
/// getCurFunctionDecl - If inside of a function body, this returns a pointer
/// to the function decl for the function being parsed. If we're currently
/// in a 'block', this returns the containing context.
FunctionDecl *getCurFunctionDecl();
/// getCurMethodDecl - If inside of a method body, this returns a pointer to
/// the method decl for the method being parsed. If we're currently
/// in a 'block', this returns the containing context.
ObjCMethodDecl *getCurMethodDecl();
/// getCurFunctionOrMethodDecl - Return the Decl for the current ObjC method
/// or C function we're in, otherwise return null. If we're currently
/// in a 'block', this returns the containing context.
NamedDecl *getCurFunctionOrMethodDecl();
/// Add this decl to the scope shadowed decl chains.
void PushOnScopeChains(NamedDecl *D, Scope *S, bool AddToContext = true);
/// isDeclInScope - If 'Ctx' is a function/method, isDeclInScope returns true
/// if 'D' is in Scope 'S', otherwise 'S' is ignored and isDeclInScope returns
/// true if 'D' belongs to the given declaration context.
///
/// \param AllowInlineNamespace If \c true, allow the declaration to be in the
/// enclosing namespace set of the context, rather than contained
/// directly within it.
bool isDeclInScope(NamedDecl *D, DeclContext *Ctx, Scope *S = nullptr,
bool AllowInlineNamespace = false);
/// Finds the scope corresponding to the given decl context, if it
/// happens to be an enclosing scope. Otherwise return NULL.
static Scope *getScopeForDeclContext(Scope *S, DeclContext *DC);
/// Subroutines of ActOnDeclarator().
TypedefDecl *ParseTypedefDecl(Scope *S, Declarator &D, QualType T,
TypeSourceInfo *TInfo);
bool isIncompatibleTypedef(TypeDecl *Old, TypedefNameDecl *New);
/// Describes the kind of merge to perform for availability
/// attributes (including "deprecated", "unavailable", and "availability").
enum AvailabilityMergeKind {
/// Don't merge availability attributes at all.
AMK_None,
/// Merge availability attributes for a redeclaration, which requires
/// an exact match.
AMK_Redeclaration,
/// Merge availability attributes for an override, which requires
/// an exact match or a weakening of constraints.
AMK_Override,
/// Merge availability attributes for an implementation of
/// a protocol requirement.
AMK_ProtocolImplementation,
/// Merge availability attributes for an implementation of
/// an optional protocol requirement.
AMK_OptionalProtocolImplementation
};
/// Describes the kind of priority given to an availability attribute.
///
/// The sum of priorities deteremines the final priority of the attribute.
/// The final priority determines how the attribute will be merged.
/// An attribute with a lower priority will always remove higher priority
/// attributes for the specified platform when it is being applied. An
/// attribute with a higher priority will not be applied if the declaration
/// already has an availability attribute with a lower priority for the
/// specified platform. The final prirority values are not expected to match
/// the values in this enumeration, but instead should be treated as a plain
/// integer value. This enumeration just names the priority weights that are
/// used to calculate that final vaue.
enum AvailabilityPriority : int {
/// The availability attribute was specified explicitly next to the
/// declaration.
AP_Explicit = 0,
/// The availability attribute was applied using '#pragma clang attribute'.
AP_PragmaClangAttribute = 1,
/// The availability attribute for a specific platform was inferred from
/// an availability attribute for another platform.
AP_InferredFromOtherPlatform = 2
};
/// Attribute merging methods. Return true if a new attribute was added.
AvailabilityAttr *
mergeAvailabilityAttr(NamedDecl *D, const AttributeCommonInfo &CI,
IdentifierInfo *Platform, bool Implicit,
VersionTuple Introduced, VersionTuple Deprecated,
VersionTuple Obsoleted, bool IsUnavailable,
StringRef Message, bool IsStrict, StringRef Replacement,
AvailabilityMergeKind AMK, int Priority);
TypeVisibilityAttr *
mergeTypeVisibilityAttr(Decl *D, const AttributeCommonInfo &CI,
TypeVisibilityAttr::VisibilityType Vis);
VisibilityAttr *mergeVisibilityAttr(Decl *D, const AttributeCommonInfo &CI,
VisibilityAttr::VisibilityType Vis);
UuidAttr *mergeUuidAttr(Decl *D, const AttributeCommonInfo &CI,
StringRef UuidAsWritten, MSGuidDecl *GuidDecl);
DLLImportAttr *mergeDLLImportAttr(Decl *D, const AttributeCommonInfo &CI);
DLLExportAttr *mergeDLLExportAttr(Decl *D, const AttributeCommonInfo &CI);
MSInheritanceAttr *mergeMSInheritanceAttr(Decl *D,
const AttributeCommonInfo &CI,
bool BestCase,
MSInheritanceModel Model);
ErrorAttr *mergeErrorAttr(Decl *D, const AttributeCommonInfo &CI,
StringRef NewUserDiagnostic);
FormatAttr *mergeFormatAttr(Decl *D, const AttributeCommonInfo &CI,
IdentifierInfo *Format, int FormatIdx,
int FirstArg);
SectionAttr *mergeSectionAttr(Decl *D, const AttributeCommonInfo &CI,
StringRef Name);
CodeSegAttr *mergeCodeSegAttr(Decl *D, const AttributeCommonInfo &CI,
StringRef Name);
AlwaysInlineAttr *mergeAlwaysInlineAttr(Decl *D,
const AttributeCommonInfo &CI,
const IdentifierInfo *Ident);
MinSizeAttr *mergeMinSizeAttr(Decl *D, const AttributeCommonInfo &CI);
SwiftNameAttr *mergeSwiftNameAttr(Decl *D, const SwiftNameAttr &SNA,
StringRef Name);
OptimizeNoneAttr *mergeOptimizeNoneAttr(Decl *D,
const AttributeCommonInfo &CI);
InternalLinkageAttr *mergeInternalLinkageAttr(Decl *D, const ParsedAttr &AL);
InternalLinkageAttr *mergeInternalLinkageAttr(Decl *D,
const InternalLinkageAttr &AL);
WebAssemblyImportNameAttr *mergeImportNameAttr(
Decl *D, const WebAssemblyImportNameAttr &AL);
WebAssemblyImportModuleAttr *mergeImportModuleAttr(
Decl *D, const WebAssemblyImportModuleAttr &AL);
EnforceTCBAttr *mergeEnforceTCBAttr(Decl *D, const EnforceTCBAttr &AL);
EnforceTCBLeafAttr *mergeEnforceTCBLeafAttr(Decl *D,
const EnforceTCBLeafAttr &AL);
BTFDeclTagAttr *mergeBTFDeclTagAttr(Decl *D, const BTFDeclTagAttr &AL);
void mergeDeclAttributes(NamedDecl *New, Decl *Old,
AvailabilityMergeKind AMK = AMK_Redeclaration);
void MergeTypedefNameDecl(Scope *S, TypedefNameDecl *New,
LookupResult &OldDecls);
bool MergeFunctionDecl(FunctionDecl *New, NamedDecl *&Old, Scope *S,
bool MergeTypeWithOld);
bool MergeCompatibleFunctionDecls(FunctionDecl *New, FunctionDecl *Old,
Scope *S, bool MergeTypeWithOld);
void mergeObjCMethodDecls(ObjCMethodDecl *New, ObjCMethodDecl *Old);
void MergeVarDecl(VarDecl *New, LookupResult &Previous);
void MergeVarDeclTypes(VarDecl *New, VarDecl *Old, bool MergeTypeWithOld);
void MergeVarDeclExceptionSpecs(VarDecl *New, VarDecl *Old);
bool checkVarDeclRedefinition(VarDecl *OldDefn, VarDecl *NewDefn);
void notePreviousDefinition(const NamedDecl *Old, SourceLocation New);
bool MergeCXXFunctionDecl(FunctionDecl *New, FunctionDecl *Old, Scope *S);
// AssignmentAction - This is used by all the assignment diagnostic functions
// to represent what is actually causing the operation
enum AssignmentAction {
AA_Assigning,
AA_Passing,
AA_Returning,
AA_Converting,
AA_Initializing,
AA_Sending,
AA_Casting,
AA_Passing_CFAudited
};
/// C++ Overloading.
enum OverloadKind {
/// This is a legitimate overload: the existing declarations are
/// functions or function templates with different signatures.
Ovl_Overload,
/// This is not an overload because the signature exactly matches
/// an existing declaration.
Ovl_Match,
/// This is not an overload because the lookup results contain a
/// non-function.
Ovl_NonFunction
};
OverloadKind CheckOverload(Scope *S,
FunctionDecl *New,
const LookupResult &OldDecls,
NamedDecl *&OldDecl,
bool IsForUsingDecl);
bool IsOverload(FunctionDecl *New, FunctionDecl *Old, bool IsForUsingDecl,
bool ConsiderCudaAttrs = true,
bool ConsiderRequiresClauses = true);
enum class AllowedExplicit {
/// Allow no explicit functions to be used.
None,
/// Allow explicit conversion functions but not explicit constructors.
Conversions,
/// Allow both explicit conversion functions and explicit constructors.
All
};
ImplicitConversionSequence
TryImplicitConversion(Expr *From, QualType ToType,
bool SuppressUserConversions,
AllowedExplicit AllowExplicit,
bool InOverloadResolution,
bool CStyle,
bool AllowObjCWritebackConversion);
bool IsIntegralPromotion(Expr *From, QualType FromType, QualType ToType);
bool IsFloatingPointPromotion(QualType FromType, QualType ToType);
bool IsComplexPromotion(QualType FromType, QualType ToType);
bool IsPointerConversion(Expr *From, QualType FromType, QualType ToType,
bool InOverloadResolution,
QualType& ConvertedType, bool &IncompatibleObjC);
bool isObjCPointerConversion(QualType FromType, QualType ToType,
QualType& ConvertedType, bool &IncompatibleObjC);
bool isObjCWritebackConversion(QualType FromType, QualType ToType,
QualType &ConvertedType);
bool IsBlockPointerConversion(QualType FromType, QualType ToType,
QualType& ConvertedType);
bool FunctionParamTypesAreEqual(const FunctionProtoType *OldType,
const FunctionProtoType *NewType,
unsigned *ArgPos = nullptr);
void HandleFunctionTypeMismatch(PartialDiagnostic &PDiag,
QualType FromType, QualType ToType);
void maybeExtendBlockObject(ExprResult &E);
CastKind PrepareCastToObjCObjectPointer(ExprResult &E);
bool CheckPointerConversion(Expr *From, QualType ToType,
CastKind &Kind,
CXXCastPath& BasePath,
bool IgnoreBaseAccess,
bool Diagnose = true);
bool IsMemberPointerConversion(Expr *From, QualType FromType, QualType ToType,
bool InOverloadResolution,
QualType &ConvertedType);
bool CheckMemberPointerConversion(Expr *From, QualType ToType,
CastKind &Kind,
CXXCastPath &BasePath,
bool IgnoreBaseAccess);
bool IsQualificationConversion(QualType FromType, QualType ToType,
bool CStyle, bool &ObjCLifetimeConversion);
bool IsFunctionConversion(QualType FromType, QualType ToType,
QualType &ResultTy);
bool DiagnoseMultipleUserDefinedConversion(Expr *From, QualType ToType);
bool isSameOrCompatibleFunctionType(QualType Param, QualType Arg);
bool CanPerformAggregateInitializationForOverloadResolution(
const InitializedEntity &Entity, InitListExpr *From);
bool IsStringInit(Expr *Init, const ArrayType *AT);
bool CanPerformCopyInitialization(const InitializedEntity &Entity,
ExprResult Init);
ExprResult PerformCopyInitialization(const InitializedEntity &Entity,
SourceLocation EqualLoc,
ExprResult Init,
bool TopLevelOfInitList = false,
bool AllowExplicit = false);
ExprResult PerformObjectArgumentInitialization(Expr *From,
NestedNameSpecifier *Qualifier,
NamedDecl *FoundDecl,
CXXMethodDecl *Method);
/// Check that the lifetime of the initializer (and its subobjects) is
/// sufficient for initializing the entity, and perform lifetime extension
/// (when permitted) if not.
void checkInitializerLifetime(const InitializedEntity &Entity, Expr *Init);
ExprResult PerformContextuallyConvertToBool(Expr *From);
ExprResult PerformContextuallyConvertToObjCPointer(Expr *From);
/// Contexts in which a converted constant expression is required.
enum CCEKind {
CCEK_CaseValue, ///< Expression in a case label.
CCEK_Enumerator, ///< Enumerator value with fixed underlying type.
CCEK_TemplateArg, ///< Value of a non-type template parameter.
CCEK_ArrayBound, ///< Array bound in array declarator or new-expression.
CCEK_ExplicitBool, ///< Condition in an explicit(bool) specifier.
CCEK_Noexcept ///< Condition in a noexcept(bool) specifier.
};
ExprResult CheckConvertedConstantExpression(Expr *From, QualType T,
llvm::APSInt &Value, CCEKind CCE);
ExprResult CheckConvertedConstantExpression(Expr *From, QualType T,
APValue &Value, CCEKind CCE,
NamedDecl *Dest = nullptr);
/// Abstract base class used to perform a contextual implicit
/// conversion from an expression to any type passing a filter.
class ContextualImplicitConverter {
public:
bool Suppress;
bool SuppressConversion;
ContextualImplicitConverter(bool Suppress = false,
bool SuppressConversion = false)
: Suppress(Suppress), SuppressConversion(SuppressConversion) {}
/// Determine whether the specified type is a valid destination type
/// for this conversion.
virtual bool match(QualType T) = 0;
/// Emits a diagnostic complaining that the expression does not have
/// integral or enumeration type.
virtual SemaDiagnosticBuilder
diagnoseNoMatch(Sema &S, SourceLocation Loc, QualType T) = 0;
/// Emits a diagnostic when the expression has incomplete class type.
virtual SemaDiagnosticBuilder
diagnoseIncomplete(Sema &S, SourceLocation Loc, QualType T) = 0;
/// Emits a diagnostic when the only matching conversion function
/// is explicit.
virtual SemaDiagnosticBuilder diagnoseExplicitConv(
Sema &S, SourceLocation Loc, QualType T, QualType ConvTy) = 0;
/// Emits a note for the explicit conversion function.
virtual SemaDiagnosticBuilder
noteExplicitConv(Sema &S, CXXConversionDecl *Conv, QualType ConvTy) = 0;
/// Emits a diagnostic when there are multiple possible conversion
/// functions.
virtual SemaDiagnosticBuilder
diagnoseAmbiguous(Sema &S, SourceLocation Loc, QualType T) = 0;
/// Emits a note for one of the candidate conversions.
virtual SemaDiagnosticBuilder
noteAmbiguous(Sema &S, CXXConversionDecl *Conv, QualType ConvTy) = 0;
/// Emits a diagnostic when we picked a conversion function
/// (for cases when we are not allowed to pick a conversion function).
virtual SemaDiagnosticBuilder diagnoseConversion(
Sema &S, SourceLocation Loc, QualType T, QualType ConvTy) = 0;
virtual ~ContextualImplicitConverter() {}
};
class ICEConvertDiagnoser : public ContextualImplicitConverter {
bool AllowScopedEnumerations;
public:
ICEConvertDiagnoser(bool AllowScopedEnumerations,
bool Suppress, bool SuppressConversion)
: ContextualImplicitConverter(Suppress, SuppressConversion),
AllowScopedEnumerations(AllowScopedEnumerations) {}
/// Match an integral or (possibly scoped) enumeration type.
bool match(QualType T) override;
SemaDiagnosticBuilder
diagnoseNoMatch(Sema &S, SourceLocation Loc, QualType T) override {
return diagnoseNotInt(S, Loc, T);
}
/// Emits a diagnostic complaining that the expression does not have
/// integral or enumeration type.
virtual SemaDiagnosticBuilder
diagnoseNotInt(Sema &S, SourceLocation Loc, QualType T) = 0;
};
/// Perform a contextual implicit conversion.
ExprResult PerformContextualImplicitConversion(
SourceLocation Loc, Expr *FromE, ContextualImplicitConverter &Converter);
enum ObjCSubscriptKind {
OS_Array,
OS_Dictionary,
OS_Error
};
ObjCSubscriptKind CheckSubscriptingKind(Expr *FromE);
// Note that LK_String is intentionally after the other literals, as
// this is used for diagnostics logic.
enum ObjCLiteralKind {
LK_Array,
LK_Dictionary,
LK_Numeric,
LK_Boxed,
LK_String,
LK_Block,
LK_None
};
ObjCLiteralKind CheckLiteralKind(Expr *FromE);
ExprResult PerformObjectMemberConversion(Expr *From,
NestedNameSpecifier *Qualifier,
NamedDecl *FoundDecl,
NamedDecl *Member);
// Members have to be NamespaceDecl* or TranslationUnitDecl*.
// TODO: make this is a typesafe union.
typedef llvm::SmallSetVector<DeclContext *, 16> AssociatedNamespaceSet;
typedef llvm::SmallSetVector<CXXRecordDecl *, 16> AssociatedClassSet;
using ADLCallKind = CallExpr::ADLCallKind;
void AddOverloadCandidate(FunctionDecl *Function, DeclAccessPair FoundDecl,
ArrayRef<Expr *> Args,
OverloadCandidateSet &CandidateSet,
bool SuppressUserConversions = false,
bool PartialOverloading = false,
bool AllowExplicit = true,
bool AllowExplicitConversion = false,
ADLCallKind IsADLCandidate = ADLCallKind::NotADL,
ConversionSequenceList EarlyConversions = None,
OverloadCandidateParamOrder PO = {});
void AddFunctionCandidates(const UnresolvedSetImpl &Functions,
ArrayRef<Expr *> Args,
OverloadCandidateSet &CandidateSet,
TemplateArgumentListInfo *ExplicitTemplateArgs = nullptr,
bool SuppressUserConversions = false,
bool PartialOverloading = false,
bool FirstArgumentIsBase = false);
void AddMethodCandidate(DeclAccessPair FoundDecl,
QualType ObjectType,
Expr::Classification ObjectClassification,
ArrayRef<Expr *> Args,
OverloadCandidateSet& CandidateSet,
bool SuppressUserConversion = false,
OverloadCandidateParamOrder PO = {});
void AddMethodCandidate(CXXMethodDecl *Method,
DeclAccessPair FoundDecl,
CXXRecordDecl *ActingContext, QualType ObjectType,
Expr::Classification ObjectClassification,
ArrayRef<Expr *> Args,
OverloadCandidateSet& CandidateSet,
bool SuppressUserConversions = false,
bool PartialOverloading = false,
ConversionSequenceList EarlyConversions = None,
OverloadCandidateParamOrder PO = {});
void AddMethodTemplateCandidate(FunctionTemplateDecl *MethodTmpl,
DeclAccessPair FoundDecl,
CXXRecordDecl *ActingContext,
TemplateArgumentListInfo *ExplicitTemplateArgs,
QualType ObjectType,
Expr::Classification ObjectClassification,
ArrayRef<Expr *> Args,
OverloadCandidateSet& CandidateSet,
bool SuppressUserConversions = false,
bool PartialOverloading = false,
OverloadCandidateParamOrder PO = {});
void AddTemplateOverloadCandidate(
FunctionTemplateDecl *FunctionTemplate, DeclAccessPair FoundDecl,
TemplateArgumentListInfo *ExplicitTemplateArgs, ArrayRef<Expr *> Args,
OverloadCandidateSet &CandidateSet, bool SuppressUserConversions = false,
bool PartialOverloading = false, bool AllowExplicit = true,
ADLCallKind IsADLCandidate = ADLCallKind::NotADL,
OverloadCandidateParamOrder PO = {});
bool CheckNonDependentConversions(
FunctionTemplateDecl *FunctionTemplate, ArrayRef<QualType> ParamTypes,
ArrayRef<Expr *> Args, OverloadCandidateSet &CandidateSet,
ConversionSequenceList &Conversions, bool SuppressUserConversions,
CXXRecordDecl *ActingContext = nullptr, QualType ObjectType = QualType(),
Expr::Classification ObjectClassification = {},
OverloadCandidateParamOrder PO = {});
void AddConversionCandidate(
CXXConversionDecl *Conversion, DeclAccessPair FoundDecl,
CXXRecordDecl *ActingContext, Expr *From, QualType ToType,
OverloadCandidateSet &CandidateSet, bool AllowObjCConversionOnExplicit,
bool AllowExplicit, bool AllowResultConversion = true);
void AddTemplateConversionCandidate(
FunctionTemplateDecl *FunctionTemplate, DeclAccessPair FoundDecl,
CXXRecordDecl *ActingContext, Expr *From, QualType ToType,
OverloadCandidateSet &CandidateSet, bool AllowObjCConversionOnExplicit,
bool AllowExplicit, bool AllowResultConversion = true);
void AddSurrogateCandidate(CXXConversionDecl *Conversion,
DeclAccessPair FoundDecl,
CXXRecordDecl *ActingContext,
const FunctionProtoType *Proto,
Expr *Object, ArrayRef<Expr *> Args,
OverloadCandidateSet& CandidateSet);
void AddNonMemberOperatorCandidates(
const UnresolvedSetImpl &Functions, ArrayRef<Expr *> Args,
OverloadCandidateSet &CandidateSet,
TemplateArgumentListInfo *ExplicitTemplateArgs = nullptr);
void AddMemberOperatorCandidates(OverloadedOperatorKind Op,
SourceLocation OpLoc, ArrayRef<Expr *> Args,
OverloadCandidateSet &CandidateSet,
OverloadCandidateParamOrder PO = {});
void AddBuiltinCandidate(QualType *ParamTys, ArrayRef<Expr *> Args,
OverloadCandidateSet& CandidateSet,
bool IsAssignmentOperator = false,
unsigned NumContextualBoolArguments = 0);
void AddBuiltinOperatorCandidates(OverloadedOperatorKind Op,
SourceLocation OpLoc, ArrayRef<Expr *> Args,
OverloadCandidateSet& CandidateSet);
void AddArgumentDependentLookupCandidates(DeclarationName Name,
SourceLocation Loc,
ArrayRef<Expr *> Args,
TemplateArgumentListInfo *ExplicitTemplateArgs,
OverloadCandidateSet& CandidateSet,
bool PartialOverloading = false);
// Emit as a 'note' the specific overload candidate
void NoteOverloadCandidate(
NamedDecl *Found, FunctionDecl *Fn,
OverloadCandidateRewriteKind RewriteKind = OverloadCandidateRewriteKind(),
QualType DestType = QualType(), bool TakingAddress = false);
// Emit as a series of 'note's all template and non-templates identified by
// the expression Expr
void NoteAllOverloadCandidates(Expr *E, QualType DestType = QualType(),
bool TakingAddress = false);
/// Check the enable_if expressions on the given function. Returns the first
/// failing attribute, or NULL if they were all successful.
EnableIfAttr *CheckEnableIf(FunctionDecl *Function, SourceLocation CallLoc,
ArrayRef<Expr *> Args,
bool MissingImplicitThis = false);
/// Find the failed Boolean condition within a given Boolean
/// constant expression, and describe it with a string.
std::pair<Expr *, std::string> findFailedBooleanCondition(Expr *Cond);
/// Emit diagnostics for the diagnose_if attributes on Function, ignoring any
/// non-ArgDependent DiagnoseIfAttrs.
///
/// Argument-dependent diagnose_if attributes should be checked each time a
/// function is used as a direct callee of a function call.
///
/// Returns true if any errors were emitted.
bool diagnoseArgDependentDiagnoseIfAttrs(const FunctionDecl *Function,
const Expr *ThisArg,
ArrayRef<const Expr *> Args,
SourceLocation Loc);
/// Emit diagnostics for the diagnose_if attributes on Function, ignoring any
/// ArgDependent DiagnoseIfAttrs.
///
/// Argument-independent diagnose_if attributes should be checked on every use
/// of a function.
///
/// Returns true if any errors were emitted.
bool diagnoseArgIndependentDiagnoseIfAttrs(const NamedDecl *ND,
SourceLocation Loc);
/// Returns whether the given function's address can be taken or not,
/// optionally emitting a diagnostic if the address can't be taken.
///
/// Returns false if taking the address of the function is illegal.
bool checkAddressOfFunctionIsAvailable(const FunctionDecl *Function,
bool Complain = false,
SourceLocation Loc = SourceLocation());
// [PossiblyAFunctionType] --> [Return]
// NonFunctionType --> NonFunctionType
// R (A) --> R(A)
// R (*)(A) --> R (A)
// R (&)(A) --> R (A)
// R (S::*)(A) --> R (A)
QualType ExtractUnqualifiedFunctionType(QualType PossiblyAFunctionType);
FunctionDecl *
ResolveAddressOfOverloadedFunction(Expr *AddressOfExpr,
QualType TargetType,
bool Complain,
DeclAccessPair &Found,
bool *pHadMultipleCandidates = nullptr);
FunctionDecl *
resolveAddressOfSingleOverloadCandidate(Expr *E, DeclAccessPair &FoundResult);
bool resolveAndFixAddressOfSingleOverloadCandidate(
ExprResult &SrcExpr, bool DoFunctionPointerConversion = false);
FunctionDecl *
ResolveSingleFunctionTemplateSpecialization(OverloadExpr *ovl,
bool Complain = false,
DeclAccessPair *Found = nullptr);
bool ResolveAndFixSingleFunctionTemplateSpecialization(
ExprResult &SrcExpr,
bool DoFunctionPointerConverion = false,
bool Complain = false,
SourceRange OpRangeForComplaining = SourceRange(),
QualType DestTypeForComplaining = QualType(),
unsigned DiagIDForComplaining = 0);
Expr *FixOverloadedFunctionReference(Expr *E,
DeclAccessPair FoundDecl,
FunctionDecl *Fn);
ExprResult FixOverloadedFunctionReference(ExprResult,
DeclAccessPair FoundDecl,
FunctionDecl *Fn);
void AddOverloadedCallCandidates(UnresolvedLookupExpr *ULE,
ArrayRef<Expr *> Args,
OverloadCandidateSet &CandidateSet,
bool PartialOverloading = false);
void AddOverloadedCallCandidates(
LookupResult &R, TemplateArgumentListInfo *ExplicitTemplateArgs,
ArrayRef<Expr *> Args, OverloadCandidateSet &CandidateSet);
// An enum used to represent the different possible results of building a
// range-based for loop.
enum ForRangeStatus {
FRS_Success,
FRS_NoViableFunction,
FRS_DiagnosticIssued
};
ForRangeStatus BuildForRangeBeginEndCall(SourceLocation Loc,
SourceLocation RangeLoc,
const DeclarationNameInfo &NameInfo,
LookupResult &MemberLookup,
OverloadCandidateSet *CandidateSet,
Expr *Range, ExprResult *CallExpr);
ExprResult BuildOverloadedCallExpr(Scope *S, Expr *Fn,
UnresolvedLookupExpr *ULE,
SourceLocation LParenLoc,
MultiExprArg Args,
SourceLocation RParenLoc,
Expr *ExecConfig,
bool AllowTypoCorrection=true,
bool CalleesAddressIsTaken=false);
bool buildOverloadedCallSet(Scope *S, Expr *Fn, UnresolvedLookupExpr *ULE,
MultiExprArg Args, SourceLocation RParenLoc,
OverloadCandidateSet *CandidateSet,
ExprResult *Result);
ExprResult CreateUnresolvedLookupExpr(CXXRecordDecl *NamingClass,
NestedNameSpecifierLoc NNSLoc,
DeclarationNameInfo DNI,
const UnresolvedSetImpl &Fns,
bool PerformADL = true);
ExprResult CreateOverloadedUnaryOp(SourceLocation OpLoc,
UnaryOperatorKind Opc,
const UnresolvedSetImpl &Fns,
Expr *input, bool RequiresADL = true);
void LookupOverloadedBinOp(OverloadCandidateSet &CandidateSet,
OverloadedOperatorKind Op,
const UnresolvedSetImpl &Fns,
ArrayRef<Expr *> Args, bool RequiresADL = true);
ExprResult CreateOverloadedBinOp(SourceLocation OpLoc,
BinaryOperatorKind Opc,
const UnresolvedSetImpl &Fns,
Expr *LHS, Expr *RHS,
bool RequiresADL = true,
bool AllowRewrittenCandidates = true,
FunctionDecl *DefaultedFn = nullptr);
ExprResult BuildSynthesizedThreeWayComparison(SourceLocation OpLoc,
const UnresolvedSetImpl &Fns,
Expr *LHS, Expr *RHS,
FunctionDecl *DefaultedFn);
ExprResult CreateOverloadedArraySubscriptExpr(SourceLocation LLoc,
SourceLocation RLoc,
Expr *Base,Expr *Idx);
ExprResult BuildCallToMemberFunction(Scope *S, Expr *MemExpr,
SourceLocation LParenLoc,
MultiExprArg Args,
SourceLocation RParenLoc,
Expr *ExecConfig = nullptr,
bool IsExecConfig = false,
bool AllowRecovery = false);
ExprResult
BuildCallToObjectOfClassType(Scope *S, Expr *Object, SourceLocation LParenLoc,
MultiExprArg Args,
SourceLocation RParenLoc);
ExprResult BuildOverloadedArrowExpr(Scope *S, Expr *Base,
SourceLocation OpLoc,
bool *NoArrowOperatorFound = nullptr);
/// CheckCallReturnType - Checks that a call expression's return type is
/// complete. Returns true on failure. The location passed in is the location
/// that best represents the call.
bool CheckCallReturnType(QualType ReturnType, SourceLocation Loc,
CallExpr *CE, FunctionDecl *FD);
/// Helpers for dealing with blocks and functions.
bool CheckParmsForFunctionDef(ArrayRef<ParmVarDecl *> Parameters,
bool CheckParameterNames);
void CheckCXXDefaultArguments(FunctionDecl *FD);
void CheckExtraCXXDefaultArguments(Declarator &D);
Scope *getNonFieldDeclScope(Scope *S);
/// \name Name lookup
///
/// These routines provide name lookup that is used during semantic
/// analysis to resolve the various kinds of names (identifiers,
/// overloaded operator names, constructor names, etc.) into zero or
/// more declarations within a particular scope. The major entry
/// points are LookupName, which performs unqualified name lookup,
/// and LookupQualifiedName, which performs qualified name lookup.
///
/// All name lookup is performed based on some specific criteria,
/// which specify what names will be visible to name lookup and how
/// far name lookup should work. These criteria are important both
/// for capturing language semantics (certain lookups will ignore
/// certain names, for example) and for performance, since name
/// lookup is often a bottleneck in the compilation of C++. Name
/// lookup criteria is specified via the LookupCriteria enumeration.
///
/// The results of name lookup can vary based on the kind of name
/// lookup performed, the current language, and the translation
/// unit. In C, for example, name lookup will either return nothing
/// (no entity found) or a single declaration. In C++, name lookup
/// can additionally refer to a set of overloaded functions or
/// result in an ambiguity. All of the possible results of name
/// lookup are captured by the LookupResult class, which provides
/// the ability to distinguish among them.
//@{
/// Describes the kind of name lookup to perform.
enum LookupNameKind {
/// Ordinary name lookup, which finds ordinary names (functions,
/// variables, typedefs, etc.) in C and most kinds of names
/// (functions, variables, members, types, etc.) in C++.
LookupOrdinaryName = 0,
/// Tag name lookup, which finds the names of enums, classes,
/// structs, and unions.
LookupTagName,
/// Label name lookup.
LookupLabel,
/// Member name lookup, which finds the names of
/// class/struct/union members.
LookupMemberName,
/// Look up of an operator name (e.g., operator+) for use with
/// operator overloading. This lookup is similar to ordinary name
/// lookup, but will ignore any declarations that are class members.
LookupOperatorName,
/// Look up a name following ~ in a destructor name. This is an ordinary
/// lookup, but prefers tags to typedefs.
LookupDestructorName,
/// Look up of a name that precedes the '::' scope resolution
/// operator in C++. This lookup completely ignores operator, object,
/// function, and enumerator names (C++ [basic.lookup.qual]p1).
LookupNestedNameSpecifierName,
/// Look up a namespace name within a C++ using directive or
/// namespace alias definition, ignoring non-namespace names (C++
/// [basic.lookup.udir]p1).
LookupNamespaceName,
/// Look up all declarations in a scope with the given name,
/// including resolved using declarations. This is appropriate
/// for checking redeclarations for a using declaration.
LookupUsingDeclName,
/// Look up an ordinary name that is going to be redeclared as a
/// name with linkage. This lookup ignores any declarations that
/// are outside of the current scope unless they have linkage. See
/// C99 6.2.2p4-5 and C++ [basic.link]p6.
LookupRedeclarationWithLinkage,
/// Look up a friend of a local class. This lookup does not look
/// outside the innermost non-class scope. See C++11 [class.friend]p11.
LookupLocalFriendName,
/// Look up the name of an Objective-C protocol.
LookupObjCProtocolName,
/// Look up implicit 'self' parameter of an objective-c method.
LookupObjCImplicitSelfParam,
/// Look up the name of an OpenMP user-defined reduction operation.
LookupOMPReductionName,
/// Look up the name of an OpenMP user-defined mapper.
LookupOMPMapperName,
/// Look up any declaration with any name.
LookupAnyName
};
/// Specifies whether (or how) name lookup is being performed for a
/// redeclaration (vs. a reference).
enum RedeclarationKind {
/// The lookup is a reference to this name that is not for the
/// purpose of redeclaring the name.
NotForRedeclaration = 0,
/// The lookup results will be used for redeclaration of a name,
/// if an entity by that name already exists and is visible.
ForVisibleRedeclaration,
/// The lookup results will be used for redeclaration of a name
/// with external linkage; non-visible lookup results with external linkage
/// may also be found.
ForExternalRedeclaration
};
RedeclarationKind forRedeclarationInCurContext() {
// A declaration with an owning module for linkage can never link against
// anything that is not visible. We don't need to check linkage here; if
// the context has internal linkage, redeclaration lookup won't find things
// from other TUs, and we can't safely compute linkage yet in general.
if (cast<Decl>(CurContext)
->getOwningModuleForLinkage(/*IgnoreLinkage*/true))
return ForVisibleRedeclaration;
return ForExternalRedeclaration;
}
/// The possible outcomes of name lookup for a literal operator.
enum LiteralOperatorLookupResult {
/// The lookup resulted in an error.
LOLR_Error,
/// The lookup found no match but no diagnostic was issued.
LOLR_ErrorNoDiagnostic,
/// The lookup found a single 'cooked' literal operator, which
/// expects a normal literal to be built and passed to it.
LOLR_Cooked,
/// The lookup found a single 'raw' literal operator, which expects
/// a string literal containing the spelling of the literal token.
LOLR_Raw,
/// The lookup found an overload set of literal operator templates,
/// which expect the characters of the spelling of the literal token to be
/// passed as a non-type template argument pack.
LOLR_Template,
/// The lookup found an overload set of literal operator templates,
/// which expect the character type and characters of the spelling of the
/// string literal token to be passed as template arguments.
LOLR_StringTemplatePack,
};
SpecialMemberOverloadResult LookupSpecialMember(CXXRecordDecl *D,
CXXSpecialMember SM,
bool ConstArg,
bool VolatileArg,
bool RValueThis,
bool ConstThis,
bool VolatileThis);
typedef std::function<void(const TypoCorrection &)> TypoDiagnosticGenerator;
typedef std::function<ExprResult(Sema &, TypoExpr *, TypoCorrection)>
TypoRecoveryCallback;
private:
bool CppLookupName(LookupResult &R, Scope *S);
struct TypoExprState {
std::unique_ptr<TypoCorrectionConsumer> Consumer;
TypoDiagnosticGenerator DiagHandler;
TypoRecoveryCallback RecoveryHandler;
TypoExprState();
TypoExprState(TypoExprState &&other) noexcept;
TypoExprState &operator=(TypoExprState &&other) noexcept;
};
/// The set of unhandled TypoExprs and their associated state.
llvm::MapVector<TypoExpr *, TypoExprState> DelayedTypos;
/// Creates a new TypoExpr AST node.
TypoExpr *createDelayedTypo(std::unique_ptr<TypoCorrectionConsumer> TCC,
TypoDiagnosticGenerator TDG,
TypoRecoveryCallback TRC, SourceLocation TypoLoc);
// The set of known/encountered (unique, canonicalized) NamespaceDecls.
//
// The boolean value will be true to indicate that the namespace was loaded
// from an AST/PCH file, or false otherwise.
llvm::MapVector<NamespaceDecl*, bool> KnownNamespaces;
/// Whether we have already loaded known namespaces from an extenal
/// source.
bool LoadedExternalKnownNamespaces;
/// Helper for CorrectTypo and CorrectTypoDelayed used to create and
/// populate a new TypoCorrectionConsumer. Returns nullptr if typo correction
/// should be skipped entirely.
std::unique_ptr<TypoCorrectionConsumer>
makeTypoCorrectionConsumer(const DeclarationNameInfo &Typo,
Sema::LookupNameKind LookupKind, Scope *S,
CXXScopeSpec *SS,
CorrectionCandidateCallback &CCC,
DeclContext *MemberContext, bool EnteringContext,
const ObjCObjectPointerType *OPT,
bool ErrorRecovery);
public:
const TypoExprState &getTypoExprState(TypoExpr *TE) const;
/// Clears the state of the given TypoExpr.
void clearDelayedTypo(TypoExpr *TE);
/// Look up a name, looking for a single declaration. Return
/// null if the results were absent, ambiguous, or overloaded.
///
/// It is preferable to use the elaborated form and explicitly handle
/// ambiguity and overloaded.
NamedDecl *LookupSingleName(Scope *S, DeclarationName Name,
SourceLocation Loc,
LookupNameKind NameKind,
RedeclarationKind Redecl
= NotForRedeclaration);
bool LookupBuiltin(LookupResult &R);
void LookupNecessaryTypesForBuiltin(Scope *S, unsigned ID);
bool LookupName(LookupResult &R, Scope *S,
bool AllowBuiltinCreation = false);
bool LookupQualifiedName(LookupResult &R, DeclContext *LookupCtx,
bool InUnqualifiedLookup = false);
bool LookupQualifiedName(LookupResult &R, DeclContext *LookupCtx,
CXXScopeSpec &SS);
bool LookupParsedName(LookupResult &R, Scope *S, CXXScopeSpec *SS,
bool AllowBuiltinCreation = false,
bool EnteringContext = false);
ObjCProtocolDecl *LookupProtocol(IdentifierInfo *II, SourceLocation IdLoc,
RedeclarationKind Redecl
= NotForRedeclaration);
bool LookupInSuper(LookupResult &R, CXXRecordDecl *Class);
void LookupOverloadedOperatorName(OverloadedOperatorKind Op, Scope *S,
UnresolvedSetImpl &Functions);
LabelDecl *LookupOrCreateLabel(IdentifierInfo *II, SourceLocation IdentLoc,
SourceLocation GnuLabelLoc = SourceLocation());
DeclContextLookupResult LookupConstructors(CXXRecordDecl *Class);
CXXConstructorDecl *LookupDefaultConstructor(CXXRecordDecl *Class);
CXXConstructorDecl *LookupCopyingConstructor(CXXRecordDecl *Class,
unsigned Quals);
CXXMethodDecl *LookupCopyingAssignment(CXXRecordDecl *Class, unsigned Quals,
bool RValueThis, unsigned ThisQuals);
CXXConstructorDecl *LookupMovingConstructor(CXXRecordDecl *Class,
unsigned Quals);
CXXMethodDecl *LookupMovingAssignment(CXXRecordDecl *Class, unsigned Quals,
bool RValueThis, unsigned ThisQuals);
CXXDestructorDecl *LookupDestructor(CXXRecordDecl *Class);
bool checkLiteralOperatorId(const CXXScopeSpec &SS, const UnqualifiedId &Id,
bool IsUDSuffix);
LiteralOperatorLookupResult
LookupLiteralOperator(Scope *S, LookupResult &R, ArrayRef<QualType> ArgTys,
bool AllowRaw, bool AllowTemplate,
bool AllowStringTemplate, bool DiagnoseMissing,
StringLiteral *StringLit = nullptr);
bool isKnownName(StringRef name);
/// Status of the function emission on the CUDA/HIP/OpenMP host/device attrs.
enum class FunctionEmissionStatus {
Emitted,
CUDADiscarded, // Discarded due to CUDA/HIP hostness
OMPDiscarded, // Discarded due to OpenMP hostness
TemplateDiscarded, // Discarded due to uninstantiated templates
Unknown,
};
FunctionEmissionStatus getEmissionStatus(FunctionDecl *Decl,
bool Final = false);
// Whether the callee should be ignored in CUDA/HIP/OpenMP host/device check.
bool shouldIgnoreInHostDeviceCheck(FunctionDecl *Callee);
void ArgumentDependentLookup(DeclarationName Name, SourceLocation Loc,
ArrayRef<Expr *> Args, ADLResult &Functions);
void LookupVisibleDecls(Scope *S, LookupNameKind Kind,
VisibleDeclConsumer &Consumer,
bool IncludeGlobalScope = true,
bool LoadExternal = true);
void LookupVisibleDecls(DeclContext *Ctx, LookupNameKind Kind,
VisibleDeclConsumer &Consumer,
bool IncludeGlobalScope = true,
bool IncludeDependentBases = false,
bool LoadExternal = true);
enum CorrectTypoKind {
CTK_NonError, // CorrectTypo used in a non error recovery situation.
CTK_ErrorRecovery // CorrectTypo used in normal error recovery.
};
TypoCorrection CorrectTypo(const DeclarationNameInfo &Typo,
Sema::LookupNameKind LookupKind,
Scope *S, CXXScopeSpec *SS,
CorrectionCandidateCallback &CCC,
CorrectTypoKind Mode,
DeclContext *MemberContext = nullptr,
bool EnteringContext = false,
const ObjCObjectPointerType *OPT = nullptr,
bool RecordFailure = true);
TypoExpr *CorrectTypoDelayed(const DeclarationNameInfo &Typo,
Sema::LookupNameKind LookupKind, Scope *S,
CXXScopeSpec *SS,
CorrectionCandidateCallback &CCC,
TypoDiagnosticGenerator TDG,
TypoRecoveryCallback TRC, CorrectTypoKind Mode,
DeclContext *MemberContext = nullptr,
bool EnteringContext = false,
const ObjCObjectPointerType *OPT = nullptr);
/// Process any TypoExprs in the given Expr and its children,
/// generating diagnostics as appropriate and returning a new Expr if there
/// were typos that were all successfully corrected and ExprError if one or
/// more typos could not be corrected.
///
/// \param E The Expr to check for TypoExprs.
///
/// \param InitDecl A VarDecl to avoid because the Expr being corrected is its
/// initializer.
///
/// \param RecoverUncorrectedTypos If true, when typo correction fails, it
/// will rebuild the given Expr with all TypoExprs degraded to RecoveryExprs.
///
/// \param Filter A function applied to a newly rebuilt Expr to determine if
/// it is an acceptable/usable result from a single combination of typo
/// corrections. As long as the filter returns ExprError, different
/// combinations of corrections will be tried until all are exhausted.
ExprResult CorrectDelayedTyposInExpr(
Expr *E, VarDecl *InitDecl = nullptr,
bool RecoverUncorrectedTypos = false,
llvm::function_ref<ExprResult(Expr *)> Filter =
[](Expr *E) -> ExprResult { return E; });
ExprResult CorrectDelayedTyposInExpr(
ExprResult ER, VarDecl *InitDecl = nullptr,
bool RecoverUncorrectedTypos = false,
llvm::function_ref<ExprResult(Expr *)> Filter =
[](Expr *E) -> ExprResult { return E; }) {
return ER.isInvalid()
? ER
: CorrectDelayedTyposInExpr(ER.get(), InitDecl,
RecoverUncorrectedTypos, Filter);
}
void diagnoseTypo(const TypoCorrection &Correction,
const PartialDiagnostic &TypoDiag,
bool ErrorRecovery = true);
void diagnoseTypo(const TypoCorrection &Correction,
const PartialDiagnostic &TypoDiag,
const PartialDiagnostic &PrevNote,
bool ErrorRecovery = true);
void MarkTypoCorrectedFunctionDefinition(const NamedDecl *F);
void FindAssociatedClassesAndNamespaces(SourceLocation InstantiationLoc,
ArrayRef<Expr *> Args,
AssociatedNamespaceSet &AssociatedNamespaces,
AssociatedClassSet &AssociatedClasses);
void FilterLookupForScope(LookupResult &R, DeclContext *Ctx, Scope *S,
bool ConsiderLinkage, bool AllowInlineNamespace);
bool CheckRedeclarationModuleOwnership(NamedDecl *New, NamedDecl *Old);
void DiagnoseAmbiguousLookup(LookupResult &Result);
//@}
/// Attempts to produce a RecoveryExpr after some AST node cannot be created.
ExprResult CreateRecoveryExpr(SourceLocation Begin, SourceLocation End,
ArrayRef<Expr *> SubExprs,
QualType T = QualType());
ObjCInterfaceDecl *getObjCInterfaceDecl(IdentifierInfo *&Id,
SourceLocation IdLoc,
bool TypoCorrection = false);
FunctionDecl *CreateBuiltin(IdentifierInfo *II, QualType Type, unsigned ID,
SourceLocation Loc);
NamedDecl *LazilyCreateBuiltin(IdentifierInfo *II, unsigned ID,
Scope *S, bool ForRedeclaration,
SourceLocation Loc);
NamedDecl *ImplicitlyDefineFunction(SourceLocation Loc, IdentifierInfo &II,
Scope *S);
void AddKnownFunctionAttributesForReplaceableGlobalAllocationFunction(
FunctionDecl *FD);
void AddKnownFunctionAttributes(FunctionDecl *FD);
// More parsing and symbol table subroutines.
void ProcessPragmaWeak(Scope *S, Decl *D);
// Decl attributes - this routine is the top level dispatcher.
void ProcessDeclAttributes(Scope *S, Decl *D, const Declarator &PD);
// Helper for delayed processing of attributes.
void ProcessDeclAttributeDelayed(Decl *D,
const ParsedAttributesView &AttrList);
void ProcessDeclAttributeList(Scope *S, Decl *D, const ParsedAttributesView &AL,
bool IncludeCXX11Attributes = true);
bool ProcessAccessDeclAttributeList(AccessSpecDecl *ASDecl,
const ParsedAttributesView &AttrList);
void checkUnusedDeclAttributes(Declarator &D);
/// Handles semantic checking for features that are common to all attributes,
/// such as checking whether a parameter was properly specified, or the
/// correct number of arguments were passed, etc. Returns true if the
/// attribute has been diagnosed.
bool checkCommonAttributeFeatures(const Decl *D, const ParsedAttr &A);
bool checkCommonAttributeFeatures(const Stmt *S, const ParsedAttr &A);
/// Map any API notes provided for this declaration to attributes on the
/// declaration.
///
/// Triggered by declaration-attribute processing.
void ProcessAPINotes(Decl *D);
/// Determine if type T is a valid subject for a nonnull and similar
/// attributes. By default, we look through references (the behavior used by
/// nonnull), but if the second parameter is true, then we treat a reference
/// type as valid.
bool isValidPointerAttrType(QualType T, bool RefOkay = false);
bool CheckRegparmAttr(const ParsedAttr &attr, unsigned &value);
bool CheckCallingConvAttr(const ParsedAttr &attr, CallingConv &CC,
const FunctionDecl *FD = nullptr);
bool CheckAttrTarget(const ParsedAttr &CurrAttr);
bool CheckAttrNoArgs(const ParsedAttr &CurrAttr);
bool checkStringLiteralArgumentAttr(const ParsedAttr &Attr, unsigned ArgNum,
StringRef &Str,
SourceLocation *ArgLocation = nullptr);
llvm::Error isValidSectionSpecifier(StringRef Str);
bool checkSectionName(SourceLocation LiteralLoc, StringRef Str);
bool checkTargetAttr(SourceLocation LiteralLoc, StringRef Str);
bool checkMSInheritanceAttrOnDefinition(
CXXRecordDecl *RD, SourceRange Range, bool BestCase,
MSInheritanceModel SemanticSpelling);
void CheckAlignasUnderalignment(Decl *D);
/// Adjust the calling convention of a method to be the ABI default if it
/// wasn't specified explicitly. This handles method types formed from
/// function type typedefs and typename template arguments.
void adjustMemberFunctionCC(QualType &T, bool IsStatic, bool IsCtorOrDtor,
SourceLocation Loc);
// Check if there is an explicit attribute, but only look through parens.
// The intent is to look for an attribute on the current declarator, but not
// one that came from a typedef.
bool hasExplicitCallingConv(QualType T);
/// Get the outermost AttributedType node that sets a calling convention.
/// Valid types should not have multiple attributes with different CCs.
const AttributedType *getCallingConvAttributedType(QualType T) const;
/// Check whether a nullability type specifier can be added to the given
/// type through some means not written in source (e.g. API notes).
///
/// \param type The type to which the nullability specifier will be
/// added. On success, this type will be updated appropriately.
///
/// \param nullability The nullability specifier to add.
///
/// \param diagLoc The location to use for diagnostics.
///
/// \param allowArrayTypes Whether to accept nullability specifiers on an
/// array type (e.g., because it will decay to a pointer).
///
/// \param overrideExisting Whether to override an existing, locally-specified
/// nullability specifier rather than complaining about the conflict.
///
/// \returns true if nullability cannot be applied, false otherwise.
bool checkImplicitNullabilityTypeSpecifier(QualType &type,
NullabilityKind nullability,
SourceLocation diagLoc,
bool allowArrayTypes,
bool overrideExisting);
/// Process the attributes before creating an attributed statement. Returns
/// the semantic attributes that have been processed.
void ProcessStmtAttributes(Stmt *Stmt,
const ParsedAttributesWithRange &InAttrs,
SmallVectorImpl<const Attr *> &OutAttrs);
void WarnConflictingTypedMethods(ObjCMethodDecl *Method,
ObjCMethodDecl *MethodDecl,
bool IsProtocolMethodDecl);
void CheckConflictingOverridingMethod(ObjCMethodDecl *Method,
ObjCMethodDecl *Overridden,
bool IsProtocolMethodDecl);
/// WarnExactTypedMethods - This routine issues a warning if method
/// implementation declaration matches exactly that of its declaration.
void WarnExactTypedMethods(ObjCMethodDecl *Method,
ObjCMethodDecl *MethodDecl,
bool IsProtocolMethodDecl);
typedef llvm::SmallPtrSet<Selector, 8> SelectorSet;
/// CheckImplementationIvars - This routine checks if the instance variables
/// listed in the implelementation match those listed in the interface.
void CheckImplementationIvars(ObjCImplementationDecl *ImpDecl,
ObjCIvarDecl **Fields, unsigned nIvars,
SourceLocation Loc);
/// ImplMethodsVsClassMethods - This is main routine to warn if any method
/// remains unimplemented in the class or category \@implementation.
void ImplMethodsVsClassMethods(Scope *S, ObjCImplDecl* IMPDecl,
ObjCContainerDecl* IDecl,
bool IncompleteImpl = false);
/// DiagnoseUnimplementedProperties - This routine warns on those properties
/// which must be implemented by this implementation.
void DiagnoseUnimplementedProperties(Scope *S, ObjCImplDecl* IMPDecl,
ObjCContainerDecl *CDecl,
bool SynthesizeProperties);
/// Diagnose any null-resettable synthesized setters.
void diagnoseNullResettableSynthesizedSetters(const ObjCImplDecl *impDecl);
/// DefaultSynthesizeProperties - This routine default synthesizes all
/// properties which must be synthesized in the class's \@implementation.
void DefaultSynthesizeProperties(Scope *S, ObjCImplDecl *IMPDecl,
ObjCInterfaceDecl *IDecl,
SourceLocation AtEnd);
void DefaultSynthesizeProperties(Scope *S, Decl *D, SourceLocation AtEnd);
/// IvarBacksCurrentMethodAccessor - This routine returns 'true' if 'IV' is
/// an ivar synthesized for 'Method' and 'Method' is a property accessor
/// declared in class 'IFace'.
bool IvarBacksCurrentMethodAccessor(ObjCInterfaceDecl *IFace,
ObjCMethodDecl *Method, ObjCIvarDecl *IV);
/// DiagnoseUnusedBackingIvarInAccessor - Issue an 'unused' warning if ivar which
/// backs the property is not used in the property's accessor.
void DiagnoseUnusedBackingIvarInAccessor(Scope *S,
const ObjCImplementationDecl *ImplD);
/// GetIvarBackingPropertyAccessor - If method is a property setter/getter and
/// it property has a backing ivar, returns this ivar; otherwise, returns NULL.
/// It also returns ivar's property on success.
ObjCIvarDecl *GetIvarBackingPropertyAccessor(const ObjCMethodDecl *Method,
const ObjCPropertyDecl *&PDecl) const;
/// Called by ActOnProperty to handle \@property declarations in
/// class extensions.
ObjCPropertyDecl *HandlePropertyInClassExtension(Scope *S,
SourceLocation AtLoc,
SourceLocation LParenLoc,
FieldDeclarator &FD,
Selector GetterSel,
SourceLocation GetterNameLoc,
Selector SetterSel,
SourceLocation SetterNameLoc,
const bool isReadWrite,
unsigned &Attributes,
const unsigned AttributesAsWritten,
QualType T,
TypeSourceInfo *TSI,
tok::ObjCKeywordKind MethodImplKind);
/// Called by ActOnProperty and HandlePropertyInClassExtension to
/// handle creating the ObjcPropertyDecl for a category or \@interface.
ObjCPropertyDecl *CreatePropertyDecl(Scope *S,
ObjCContainerDecl *CDecl,
SourceLocation AtLoc,
SourceLocation LParenLoc,
FieldDeclarator &FD,
Selector GetterSel,
SourceLocation GetterNameLoc,
Selector SetterSel,
SourceLocation SetterNameLoc,
const bool isReadWrite,
const unsigned Attributes,
const unsigned AttributesAsWritten,
QualType T,
TypeSourceInfo *TSI,
tok::ObjCKeywordKind MethodImplKind,
DeclContext *lexicalDC = nullptr);
/// AtomicPropertySetterGetterRules - This routine enforces the rule (via
/// warning) when atomic property has one but not the other user-declared
/// setter or getter.
void AtomicPropertySetterGetterRules(ObjCImplDecl* IMPDecl,
ObjCInterfaceDecl* IDecl);
void DiagnoseOwningPropertyGetterSynthesis(const ObjCImplementationDecl *D);
void DiagnoseMissingDesignatedInitOverrides(
const ObjCImplementationDecl *ImplD,
const ObjCInterfaceDecl *IFD);
void DiagnoseDuplicateIvars(ObjCInterfaceDecl *ID, ObjCInterfaceDecl *SID);
enum MethodMatchStrategy {
MMS_loose,
MMS_strict
};
/// MatchTwoMethodDeclarations - Checks if two methods' type match and returns
/// true, or false, accordingly.
bool MatchTwoMethodDeclarations(const ObjCMethodDecl *Method,
const ObjCMethodDecl *PrevMethod,
MethodMatchStrategy strategy = MMS_strict);
/// MatchAllMethodDeclarations - Check methods declaraed in interface or
/// or protocol against those declared in their implementations.
void MatchAllMethodDeclarations(const SelectorSet &InsMap,
const SelectorSet &ClsMap,
SelectorSet &InsMapSeen,
SelectorSet &ClsMapSeen,
ObjCImplDecl* IMPDecl,
ObjCContainerDecl* IDecl,
bool &IncompleteImpl,
bool ImmediateClass,
bool WarnCategoryMethodImpl=false);
/// CheckCategoryVsClassMethodMatches - Checks that methods implemented in
/// category matches with those implemented in its primary class and
/// warns each time an exact match is found.
void CheckCategoryVsClassMethodMatches(ObjCCategoryImplDecl *CatIMP);
/// Add the given method to the list of globally-known methods.
void addMethodToGlobalList(ObjCMethodList *List, ObjCMethodDecl *Method);
/// Returns default addr space for method qualifiers.
LangAS getDefaultCXXMethodAddrSpace() const;
private:
/// AddMethodToGlobalPool - Add an instance or factory method to the global
/// pool. See descriptoin of AddInstanceMethodToGlobalPool.
void AddMethodToGlobalPool(ObjCMethodDecl *Method, bool impl, bool instance);
/// LookupMethodInGlobalPool - Returns the instance or factory method and
/// optionally warns if there are multiple signatures.
ObjCMethodDecl *LookupMethodInGlobalPool(Selector Sel, SourceRange R,
bool receiverIdOrClass,
bool instance);
public:
/// - Returns instance or factory methods in global method pool for
/// given selector. It checks the desired kind first, if none is found, and
/// parameter checkTheOther is set, it then checks the other kind. If no such
/// method or only one method is found, function returns false; otherwise, it
/// returns true.
bool
CollectMultipleMethodsInGlobalPool(Selector Sel,
SmallVectorImpl<ObjCMethodDecl*>& Methods,
bool InstanceFirst, bool CheckTheOther,
const ObjCObjectType *TypeBound = nullptr);
bool
AreMultipleMethodsInGlobalPool(Selector Sel, ObjCMethodDecl *BestMethod,
SourceRange R, bool receiverIdOrClass,
SmallVectorImpl<ObjCMethodDecl*>& Methods);
void
DiagnoseMultipleMethodInGlobalPool(SmallVectorImpl<ObjCMethodDecl*> &Methods,
Selector Sel, SourceRange R,
bool receiverIdOrClass);
private:
/// - Returns a selector which best matches given argument list or
/// nullptr if none could be found
ObjCMethodDecl *SelectBestMethod(Selector Sel, MultiExprArg Args,
bool IsInstance,
SmallVectorImpl<ObjCMethodDecl*>& Methods);
/// Record the typo correction failure and return an empty correction.
TypoCorrection FailedCorrection(IdentifierInfo *Typo, SourceLocation TypoLoc,
bool RecordFailure = true) {
if (RecordFailure)
TypoCorrectionFailures[Typo].insert(TypoLoc);
return TypoCorrection();
}
public:
/// AddInstanceMethodToGlobalPool - All instance methods in a translation
/// unit are added to a global pool. This allows us to efficiently associate
/// a selector with a method declaraation for purposes of typechecking
/// messages sent to "id" (where the class of the object is unknown).
void AddInstanceMethodToGlobalPool(ObjCMethodDecl *Method, bool impl=false) {
AddMethodToGlobalPool(Method, impl, /*instance*/true);
}
/// AddFactoryMethodToGlobalPool - Same as above, but for factory methods.
void AddFactoryMethodToGlobalPool(ObjCMethodDecl *Method, bool impl=false) {
AddMethodToGlobalPool(Method, impl, /*instance*/false);
}
/// AddAnyMethodToGlobalPool - Add any method, instance or factory to global
/// pool.
void AddAnyMethodToGlobalPool(Decl *D);
/// LookupInstanceMethodInGlobalPool - Returns the method and warns if
/// there are multiple signatures.
ObjCMethodDecl *LookupInstanceMethodInGlobalPool(Selector Sel, SourceRange R,
bool receiverIdOrClass=false) {
return LookupMethodInGlobalPool(Sel, R, receiverIdOrClass,
/*instance*/true);
}
/// LookupFactoryMethodInGlobalPool - Returns the method and warns if
/// there are multiple signatures.
ObjCMethodDecl *LookupFactoryMethodInGlobalPool(Selector Sel, SourceRange R,
bool receiverIdOrClass=false) {
return LookupMethodInGlobalPool(Sel, R, receiverIdOrClass,
/*instance*/false);
}
const ObjCMethodDecl *SelectorsForTypoCorrection(Selector Sel,
QualType ObjectType=QualType());
/// LookupImplementedMethodInGlobalPool - Returns the method which has an
/// implementation.
ObjCMethodDecl *LookupImplementedMethodInGlobalPool(Selector Sel);
/// CollectIvarsToConstructOrDestruct - Collect those ivars which require
/// initialization.
void CollectIvarsToConstructOrDestruct(ObjCInterfaceDecl *OI,
SmallVectorImpl<ObjCIvarDecl*> &Ivars);
//===--------------------------------------------------------------------===//
// Statement Parsing Callbacks: SemaStmt.cpp.
public:
class FullExprArg {
public:
FullExprArg() : E(nullptr) { }
FullExprArg(Sema &actions) : E(nullptr) { }
ExprResult release() {
return E;
}
Expr *get() const { return E; }
Expr *operator->() {
return E;
}
private:
// FIXME: No need to make the entire Sema class a friend when it's just
// Sema::MakeFullExpr that needs access to the constructor below.
friend class Sema;
explicit FullExprArg(Expr *expr) : E(expr) {}
Expr *E;
};
FullExprArg MakeFullExpr(Expr *Arg) {
return MakeFullExpr(Arg, Arg ? Arg->getExprLoc() : SourceLocation());
}
FullExprArg MakeFullExpr(Expr *Arg, SourceLocation CC) {
return FullExprArg(
ActOnFinishFullExpr(Arg, CC, /*DiscardedValue*/ false).get());
}
FullExprArg MakeFullDiscardedValueExpr(Expr *Arg) {
ExprResult FE =
ActOnFinishFullExpr(Arg, Arg ? Arg->getExprLoc() : SourceLocation(),
/*DiscardedValue*/ true);
return FullExprArg(FE.get());
}
StmtResult ActOnExprStmt(ExprResult Arg, bool DiscardedValue = true);
StmtResult ActOnExprStmtError();
StmtResult ActOnNullStmt(SourceLocation SemiLoc,
bool HasLeadingEmptyMacro = false);
void ActOnStartOfCompoundStmt(bool IsStmtExpr);
void ActOnAfterCompoundStatementLeadingPragmas();
void ActOnFinishOfCompoundStmt();
StmtResult ActOnCompoundStmt(SourceLocation L, SourceLocation R,
ArrayRef<Stmt *> Elts, bool isStmtExpr);
/// A RAII object to enter scope of a compound statement.
class CompoundScopeRAII {
public:
CompoundScopeRAII(Sema &S, bool IsStmtExpr = false) : S(S) {
S.ActOnStartOfCompoundStmt(IsStmtExpr);
}
~CompoundScopeRAII() {
S.ActOnFinishOfCompoundStmt();
}
private:
Sema &S;
};
/// An RAII helper that pops function a function scope on exit.
struct FunctionScopeRAII {
Sema &S;
bool Active;
FunctionScopeRAII(Sema &S) : S(S), Active(true) {}
~FunctionScopeRAII() {
if (Active)
S.PopFunctionScopeInfo();
}
void disable() { Active = false; }
};
StmtResult ActOnDeclStmt(DeclGroupPtrTy Decl,
SourceLocation StartLoc,
SourceLocation EndLoc);
void ActOnForEachDeclStmt(DeclGroupPtrTy Decl);
StmtResult ActOnForEachLValueExpr(Expr *E);
ExprResult ActOnCaseExpr(SourceLocation CaseLoc, ExprResult Val);
StmtResult ActOnCaseStmt(SourceLocation CaseLoc, ExprResult LHS,
SourceLocation DotDotDotLoc, ExprResult RHS,
SourceLocation ColonLoc);
void ActOnCaseStmtBody(Stmt *CaseStmt, Stmt *SubStmt);
StmtResult ActOnDefaultStmt(SourceLocation DefaultLoc,
SourceLocation ColonLoc,
Stmt *SubStmt, Scope *CurScope);
StmtResult ActOnLabelStmt(SourceLocation IdentLoc, LabelDecl *TheDecl,
SourceLocation ColonLoc, Stmt *SubStmt);
StmtResult BuildAttributedStmt(SourceLocation AttrsLoc,
ArrayRef<const Attr *> Attrs, Stmt *SubStmt);
StmtResult ActOnAttributedStmt(const ParsedAttributesWithRange &AttrList,
Stmt *SubStmt);
class ConditionResult;
StmtResult ActOnIfStmt(SourceLocation IfLoc, IfStatementKind StatementKind,
SourceLocation LParenLoc, Stmt *InitStmt,
ConditionResult Cond, SourceLocation RParenLoc,
Stmt *ThenVal, SourceLocation ElseLoc, Stmt *ElseVal);
StmtResult BuildIfStmt(SourceLocation IfLoc, IfStatementKind StatementKind,
SourceLocation LParenLoc, Stmt *InitStmt,
ConditionResult Cond, SourceLocation RParenLoc,
Stmt *ThenVal, SourceLocation ElseLoc, Stmt *ElseVal);
StmtResult ActOnStartOfSwitchStmt(SourceLocation SwitchLoc,
SourceLocation LParenLoc, Stmt *InitStmt,
ConditionResult Cond,
SourceLocation RParenLoc);
StmtResult ActOnFinishSwitchStmt(SourceLocation SwitchLoc,
Stmt *Switch, Stmt *Body);
StmtResult ActOnWhileStmt(SourceLocation WhileLoc, SourceLocation LParenLoc,
ConditionResult Cond, SourceLocation RParenLoc,
Stmt *Body);
StmtResult ActOnDoStmt(SourceLocation DoLoc, Stmt *Body,
SourceLocation WhileLoc, SourceLocation CondLParen,
Expr *Cond, SourceLocation CondRParen);
StmtResult ActOnForStmt(SourceLocation ForLoc,
SourceLocation LParenLoc,
Stmt *First,
ConditionResult Second,
FullExprArg Third,
SourceLocation RParenLoc,
Stmt *Body);
ExprResult CheckObjCForCollectionOperand(SourceLocation forLoc,
Expr *collection);
StmtResult ActOnObjCForCollectionStmt(SourceLocation ForColLoc,
Stmt *First, Expr *collection,
SourceLocation RParenLoc);
StmtResult FinishObjCForCollectionStmt(Stmt *ForCollection, Stmt *Body);
enum BuildForRangeKind {
/// Initial building of a for-range statement.
BFRK_Build,
/// Instantiation or recovery rebuild of a for-range statement. Don't
/// attempt any typo-correction.
BFRK_Rebuild,
/// Determining whether a for-range statement could be built. Avoid any
/// unnecessary or irreversible actions.
BFRK_Check
};
StmtResult ActOnCXXForRangeStmt(Scope *S, SourceLocation ForLoc,
SourceLocation CoawaitLoc,
Stmt *InitStmt,
Stmt *LoopVar,
SourceLocation ColonLoc, Expr *Collection,
SourceLocation RParenLoc,
BuildForRangeKind Kind);
StmtResult BuildCXXForRangeStmt(SourceLocation ForLoc,
SourceLocation CoawaitLoc,
Stmt *InitStmt,
SourceLocation ColonLoc,
Stmt *RangeDecl, Stmt *Begin, Stmt *End,
Expr *Cond, Expr *Inc,
Stmt *LoopVarDecl,
SourceLocation RParenLoc,
BuildForRangeKind Kind);
StmtResult FinishCXXForRangeStmt(Stmt *ForRange, Stmt *Body);
StmtResult ActOnGotoStmt(SourceLocation GotoLoc,
SourceLocation LabelLoc,
LabelDecl *TheDecl);
StmtResult ActOnIndirectGotoStmt(SourceLocation GotoLoc,
SourceLocation StarLoc,
Expr *DestExp);
StmtResult ActOnContinueStmt(SourceLocation ContinueLoc, Scope *CurScope);
StmtResult ActOnBreakStmt(SourceLocation BreakLoc, Scope *CurScope);
void ActOnCapturedRegionStart(SourceLocation Loc, Scope *CurScope,
CapturedRegionKind Kind, unsigned NumParams);
typedef std::pair<StringRef, QualType> CapturedParamNameType;
void ActOnCapturedRegionStart(SourceLocation Loc, Scope *CurScope,
CapturedRegionKind Kind,
ArrayRef<CapturedParamNameType> Params,
unsigned OpenMPCaptureLevel = 0);
StmtResult ActOnCapturedRegionEnd(Stmt *S);
void ActOnCapturedRegionError();
RecordDecl *CreateCapturedStmtRecordDecl(CapturedDecl *&CD,
SourceLocation Loc,
unsigned NumParams);
struct NamedReturnInfo {
const VarDecl *Candidate;
enum Status : uint8_t { None, MoveEligible, MoveEligibleAndCopyElidable };
Status S;
bool isMoveEligible() const { return S != None; };
bool isCopyElidable() const { return S == MoveEligibleAndCopyElidable; }
};
enum class SimplerImplicitMoveMode { ForceOff, Normal, ForceOn };
NamedReturnInfo getNamedReturnInfo(
Expr *&E, SimplerImplicitMoveMode Mode = SimplerImplicitMoveMode::Normal);
NamedReturnInfo getNamedReturnInfo(const VarDecl *VD);
const VarDecl *getCopyElisionCandidate(NamedReturnInfo &Info,
QualType ReturnType);
ExprResult
PerformMoveOrCopyInitialization(const InitializedEntity &Entity,
const NamedReturnInfo &NRInfo, Expr *Value,
bool SupressSimplerImplicitMoves = false);
StmtResult ActOnReturnStmt(SourceLocation ReturnLoc, Expr *RetValExp,
Scope *CurScope);
StmtResult BuildReturnStmt(SourceLocation ReturnLoc, Expr *RetValExp);
StmtResult ActOnCapScopeReturnStmt(SourceLocation ReturnLoc, Expr *RetValExp,
NamedReturnInfo &NRInfo,
bool SupressSimplerImplicitMoves);
StmtResult ActOnGCCAsmStmt(SourceLocation AsmLoc, bool IsSimple,
bool IsVolatile, unsigned NumOutputs,
unsigned NumInputs, IdentifierInfo **Names,
MultiExprArg Constraints, MultiExprArg Exprs,
Expr *AsmString, MultiExprArg Clobbers,
unsigned NumLabels,
SourceLocation RParenLoc);
void FillInlineAsmIdentifierInfo(Expr *Res,
llvm::InlineAsmIdentifierInfo &Info);
ExprResult LookupInlineAsmIdentifier(CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
UnqualifiedId &Id,
bool IsUnevaluatedContext);
bool LookupInlineAsmField(StringRef Base, StringRef Member,
unsigned &Offset, SourceLocation AsmLoc);
ExprResult LookupInlineAsmVarDeclField(Expr *RefExpr, StringRef Member,
SourceLocation AsmLoc);
StmtResult ActOnMSAsmStmt(SourceLocation AsmLoc, SourceLocation LBraceLoc,
ArrayRef<Token> AsmToks,
StringRef AsmString,
unsigned NumOutputs, unsigned NumInputs,
ArrayRef<StringRef> Constraints,
ArrayRef<StringRef> Clobbers,
ArrayRef<Expr*> Exprs,
SourceLocation EndLoc);
LabelDecl *GetOrCreateMSAsmLabel(StringRef ExternalLabelName,
SourceLocation Location,
bool AlwaysCreate);
VarDecl *BuildObjCExceptionDecl(TypeSourceInfo *TInfo, QualType ExceptionType,
SourceLocation StartLoc,
SourceLocation IdLoc, IdentifierInfo *Id,
bool Invalid = false);
Decl *ActOnObjCExceptionDecl(Scope *S, Declarator &D);
StmtResult ActOnObjCAtCatchStmt(SourceLocation AtLoc, SourceLocation RParen,
Decl *Parm, Stmt *Body);
StmtResult ActOnObjCAtFinallyStmt(SourceLocation AtLoc, Stmt *Body);
StmtResult ActOnObjCAtTryStmt(SourceLocation AtLoc, Stmt *Try,
MultiStmtArg Catch, Stmt *Finally);
StmtResult BuildObjCAtThrowStmt(SourceLocation AtLoc, Expr *Throw);
StmtResult ActOnObjCAtThrowStmt(SourceLocation AtLoc, Expr *Throw,
Scope *CurScope);
ExprResult ActOnObjCAtSynchronizedOperand(SourceLocation atLoc,
Expr *operand);
StmtResult ActOnObjCAtSynchronizedStmt(SourceLocation AtLoc,
Expr *SynchExpr,
Stmt *SynchBody);
StmtResult ActOnObjCAutoreleasePoolStmt(SourceLocation AtLoc, Stmt *Body);
VarDecl *BuildExceptionDeclaration(Scope *S, TypeSourceInfo *TInfo,
SourceLocation StartLoc,
SourceLocation IdLoc,
IdentifierInfo *Id);
Decl *ActOnExceptionDeclarator(Scope *S, Declarator &D);
StmtResult ActOnCXXCatchBlock(SourceLocation CatchLoc,
Decl *ExDecl, Stmt *HandlerBlock);
StmtResult ActOnCXXTryBlock(SourceLocation TryLoc, Stmt *TryBlock,
ArrayRef<Stmt *> Handlers);
StmtResult ActOnSEHTryBlock(bool IsCXXTry, // try (true) or __try (false) ?
SourceLocation TryLoc, Stmt *TryBlock,
Stmt *Handler);
StmtResult ActOnSEHExceptBlock(SourceLocation Loc,
Expr *FilterExpr,
Stmt *Block);
void ActOnStartSEHFinallyBlock();
void ActOnAbortSEHFinallyBlock();
StmtResult ActOnFinishSEHFinallyBlock(SourceLocation Loc, Stmt *Block);
StmtResult ActOnSEHLeaveStmt(SourceLocation Loc, Scope *CurScope);
void DiagnoseReturnInConstructorExceptionHandler(CXXTryStmt *TryBlock);
bool ShouldWarnIfUnusedFileScopedDecl(const DeclaratorDecl *D) const;
/// If it's a file scoped decl that must warn if not used, keep track
/// of it.
void MarkUnusedFileScopedDecl(const DeclaratorDecl *D);
/// DiagnoseUnusedExprResult - If the statement passed in is an expression
/// whose result is unused, warn.
void DiagnoseUnusedExprResult(const Stmt *S, unsigned DiagID);
void DiagnoseUnusedNestedTypedefs(const RecordDecl *D);
void DiagnoseUnusedDecl(const NamedDecl *ND);
/// If VD is set but not otherwise used, diagnose, for a parameter or a
/// variable.
void DiagnoseUnusedButSetDecl(const VarDecl *VD);
/// Emit \p DiagID if statement located on \p StmtLoc has a suspicious null
/// statement as a \p Body, and it is located on the same line.
///
/// This helps prevent bugs due to typos, such as:
/// if (condition);
/// do_stuff();
void DiagnoseEmptyStmtBody(SourceLocation StmtLoc,
const Stmt *Body,
unsigned DiagID);
/// Warn if a for/while loop statement \p S, which is followed by
/// \p PossibleBody, has a suspicious null statement as a body.
void DiagnoseEmptyLoopBody(const Stmt *S,
const Stmt *PossibleBody);
/// Warn if a value is moved to itself.
void DiagnoseSelfMove(const Expr *LHSExpr, const Expr *RHSExpr,
SourceLocation OpLoc);
/// Warn if we're implicitly casting from a _Nullable pointer type to a
/// _Nonnull one.
void diagnoseNullableToNonnullConversion(QualType DstType, QualType SrcType,
SourceLocation Loc);
/// Warn when implicitly casting 0 to nullptr.
void diagnoseZeroToNullptrConversion(CastKind Kind, const Expr *E);
ParsingDeclState PushParsingDeclaration(sema::DelayedDiagnosticPool &pool) {
return DelayedDiagnostics.push(pool);
}
void PopParsingDeclaration(ParsingDeclState state, Decl *decl);
typedef ProcessingContextState ParsingClassState;
ParsingClassState PushParsingClass() {
ParsingClassDepth++;
return DelayedDiagnostics.pushUndelayed();
}
void PopParsingClass(ParsingClassState state) {
ParsingClassDepth--;
DelayedDiagnostics.popUndelayed(state);
}
void redelayDiagnostics(sema::DelayedDiagnosticPool &pool);
void DiagnoseAvailabilityOfDecl(NamedDecl *D, ArrayRef<SourceLocation> Locs,
const ObjCInterfaceDecl *UnknownObjCClass,
bool ObjCPropertyAccess,
bool AvoidPartialAvailabilityChecks = false,
ObjCInterfaceDecl *ClassReceiver = nullptr);
bool makeUnavailableInSystemHeader(SourceLocation loc,
UnavailableAttr::ImplicitReason reason);
/// Issue any -Wunguarded-availability warnings in \c FD
void DiagnoseUnguardedAvailabilityViolations(Decl *FD);
void handleDelayedAvailabilityCheck(sema::DelayedDiagnostic &DD, Decl *Ctx);
//===--------------------------------------------------------------------===//
// Expression Parsing Callbacks: SemaExpr.cpp.
bool CanUseDecl(NamedDecl *D, bool TreatUnavailableAsInvalid);
bool DiagnoseUseOfDecl(NamedDecl *D, ArrayRef<SourceLocation> Locs,
const ObjCInterfaceDecl *UnknownObjCClass = nullptr,
bool ObjCPropertyAccess = false,
bool AvoidPartialAvailabilityChecks = false,
ObjCInterfaceDecl *ClassReciever = nullptr);
void NoteDeletedFunction(FunctionDecl *FD);
void NoteDeletedInheritingConstructor(CXXConstructorDecl *CD);
bool DiagnosePropertyAccessorMismatch(ObjCPropertyDecl *PD,
ObjCMethodDecl *Getter,
SourceLocation Loc);
void DiagnoseSentinelCalls(NamedDecl *D, SourceLocation Loc,
ArrayRef<Expr *> Args);
void PushExpressionEvaluationContext(
ExpressionEvaluationContext NewContext, Decl *LambdaContextDecl = nullptr,
ExpressionEvaluationContextRecord::ExpressionKind Type =
ExpressionEvaluationContextRecord::EK_Other);
enum ReuseLambdaContextDecl_t { ReuseLambdaContextDecl };
void PushExpressionEvaluationContext(
ExpressionEvaluationContext NewContext, ReuseLambdaContextDecl_t,
ExpressionEvaluationContextRecord::ExpressionKind Type =
ExpressionEvaluationContextRecord::EK_Other);
void PopExpressionEvaluationContext();
void DiscardCleanupsInEvaluationContext();
ExprResult TransformToPotentiallyEvaluated(Expr *E);
ExprResult HandleExprEvaluationContextForTypeof(Expr *E);
ExprResult CheckUnevaluatedOperand(Expr *E);
void CheckUnusedVolatileAssignment(Expr *E);
ExprResult ActOnConstantExpression(ExprResult Res);
// Functions for marking a declaration referenced. These functions also
// contain the relevant logic for marking if a reference to a function or
// variable is an odr-use (in the C++11 sense). There are separate variants
// for expressions referring to a decl; these exist because odr-use marking
// needs to be delayed for some constant variables when we build one of the
// named expressions.
//
// MightBeOdrUse indicates whether the use could possibly be an odr-use, and
// should usually be true. This only needs to be set to false if the lack of
// odr-use cannot be determined from the current context (for instance,
// because the name denotes a virtual function and was written without an
// explicit nested-name-specifier).
void MarkAnyDeclReferenced(SourceLocation Loc, Decl *D, bool MightBeOdrUse);
void MarkFunctionReferenced(SourceLocation Loc, FunctionDecl *Func,
bool MightBeOdrUse = true);
void MarkVariableReferenced(SourceLocation Loc, VarDecl *Var);
void MarkDeclRefReferenced(DeclRefExpr *E, const Expr *Base = nullptr);
void MarkMemberReferenced(MemberExpr *E);
void MarkFunctionParmPackReferenced(FunctionParmPackExpr *E);
void MarkCaptureUsedInEnclosingContext(VarDecl *Capture, SourceLocation Loc,
unsigned CapturingScopeIndex);
ExprResult CheckLValueToRValueConversionOperand(Expr *E);
void CleanupVarDeclMarking();
enum TryCaptureKind {
TryCapture_Implicit, TryCapture_ExplicitByVal, TryCapture_ExplicitByRef
};
/// Try to capture the given variable.
///
/// \param Var The variable to capture.
///
/// \param Loc The location at which the capture occurs.
///
/// \param Kind The kind of capture, which may be implicit (for either a
/// block or a lambda), or explicit by-value or by-reference (for a lambda).
///
/// \param EllipsisLoc The location of the ellipsis, if one is provided in
/// an explicit lambda capture.
///
/// \param BuildAndDiagnose Whether we are actually supposed to add the
/// captures or diagnose errors. If false, this routine merely check whether
/// the capture can occur without performing the capture itself or complaining
/// if the variable cannot be captured.
///
/// \param CaptureType Will be set to the type of the field used to capture
/// this variable in the innermost block or lambda. Only valid when the
/// variable can be captured.
///
/// \param DeclRefType Will be set to the type of a reference to the capture
/// from within the current scope. Only valid when the variable can be
/// captured.
///
/// \param FunctionScopeIndexToStopAt If non-null, it points to the index
/// of the FunctionScopeInfo stack beyond which we do not attempt to capture.
/// This is useful when enclosing lambdas must speculatively capture
/// variables that may or may not be used in certain specializations of
/// a nested generic lambda.
///
/// \returns true if an error occurred (i.e., the variable cannot be
/// captured) and false if the capture succeeded.
bool tryCaptureVariable(VarDecl *Var, SourceLocation Loc, TryCaptureKind Kind,
SourceLocation EllipsisLoc, bool BuildAndDiagnose,
QualType &CaptureType,
QualType &DeclRefType,
const unsigned *const FunctionScopeIndexToStopAt);
/// Try to capture the given variable.
bool tryCaptureVariable(VarDecl *Var, SourceLocation Loc,
TryCaptureKind Kind = TryCapture_Implicit,
SourceLocation EllipsisLoc = SourceLocation());
/// Checks if the variable must be captured.
bool NeedToCaptureVariable(VarDecl *Var, SourceLocation Loc);
/// Given a variable, determine the type that a reference to that
/// variable will have in the given scope.
QualType getCapturedDeclRefType(VarDecl *Var, SourceLocation Loc);
/// Mark all of the declarations referenced within a particular AST node as
/// referenced. Used when template instantiation instantiates a non-dependent
/// type -- entities referenced by the type are now referenced.
void MarkDeclarationsReferencedInType(SourceLocation Loc, QualType T);
void MarkDeclarationsReferencedInExpr(Expr *E,
bool SkipLocalVariables = false,
ArrayRef<const Expr *> StopAt = None);
/// Try to recover by turning the given expression into a
/// call. Returns true if recovery was attempted or an error was
/// emitted; this may also leave the ExprResult invalid.
bool tryToRecoverWithCall(ExprResult &E, const PartialDiagnostic &PD,
bool ForceComplain = false,
bool (*IsPlausibleResult)(QualType) = nullptr);
/// Figure out if an expression could be turned into a call.
bool tryExprAsCall(Expr &E, QualType &ZeroArgCallReturnTy,
UnresolvedSetImpl &NonTemplateOverloads);
/// Try to convert an expression \p E to type \p Ty. Returns the result of the
/// conversion.
ExprResult tryConvertExprToType(Expr *E, QualType Ty);
/// Conditionally issue a diagnostic based on the statements's reachability
/// analysis.
///
/// \param Stmts If Stmts is non-empty, delay reporting the diagnostic until
/// the function body is parsed, and then do a basic reachability analysis to
/// determine if the statement is reachable. If it is unreachable, the
/// diagnostic will not be emitted.
bool DiagIfReachable(SourceLocation Loc, ArrayRef<const Stmt *> Stmts,
const PartialDiagnostic &PD);
/// Conditionally issue a diagnostic based on the current
/// evaluation context.
///
/// \param Statement If Statement is non-null, delay reporting the
/// diagnostic until the function body is parsed, and then do a basic
/// reachability analysis to determine if the statement is reachable.
/// If it is unreachable, the diagnostic will not be emitted.
bool DiagRuntimeBehavior(SourceLocation Loc, const Stmt *Statement,
const PartialDiagnostic &PD);
/// Similar, but diagnostic is only produced if all the specified statements
/// are reachable.
bool DiagRuntimeBehavior(SourceLocation Loc, ArrayRef<const Stmt*> Stmts,
const PartialDiagnostic &PD);
// Primary Expressions.
SourceRange getExprRange(Expr *E) const;
ExprResult ActOnIdExpression(
Scope *S, CXXScopeSpec &SS, SourceLocation TemplateKWLoc,
UnqualifiedId &Id, bool HasTrailingLParen, bool IsAddressOfOperand,
CorrectionCandidateCallback *CCC = nullptr,
bool IsInlineAsmIdentifier = false, Token *KeywordReplacement = nullptr);
void DecomposeUnqualifiedId(const UnqualifiedId &Id,
TemplateArgumentListInfo &Buffer,
DeclarationNameInfo &NameInfo,
const TemplateArgumentListInfo *&TemplateArgs);
bool DiagnoseDependentMemberLookup(LookupResult &R);
bool
DiagnoseEmptyLookup(Scope *S, CXXScopeSpec &SS, LookupResult &R,
CorrectionCandidateCallback &CCC,
TemplateArgumentListInfo *ExplicitTemplateArgs = nullptr,
ArrayRef<Expr *> Args = None, TypoExpr **Out = nullptr);
DeclResult LookupIvarInObjCMethod(LookupResult &Lookup, Scope *S,
IdentifierInfo *II);
ExprResult BuildIvarRefExpr(Scope *S, SourceLocation Loc, ObjCIvarDecl *IV);
ExprResult LookupInObjCMethod(LookupResult &LookUp, Scope *S,
IdentifierInfo *II,
bool AllowBuiltinCreation=false);
ExprResult ActOnDependentIdExpression(const CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
const DeclarationNameInfo &NameInfo,
bool isAddressOfOperand,
const TemplateArgumentListInfo *TemplateArgs);
/// If \p D cannot be odr-used in the current expression evaluation context,
/// return a reason explaining why. Otherwise, return NOUR_None.
NonOdrUseReason getNonOdrUseReasonInCurrentContext(ValueDecl *D);
DeclRefExpr *BuildDeclRefExpr(ValueDecl *D, QualType Ty, ExprValueKind VK,
SourceLocation Loc,
const CXXScopeSpec *SS = nullptr);
DeclRefExpr *
BuildDeclRefExpr(ValueDecl *D, QualType Ty, ExprValueKind VK,
const DeclarationNameInfo &NameInfo,
const CXXScopeSpec *SS = nullptr,
NamedDecl *FoundD = nullptr,
SourceLocation TemplateKWLoc = SourceLocation(),
const TemplateArgumentListInfo *TemplateArgs = nullptr);
DeclRefExpr *
BuildDeclRefExpr(ValueDecl *D, QualType Ty, ExprValueKind VK,
const DeclarationNameInfo &NameInfo,
NestedNameSpecifierLoc NNS,
NamedDecl *FoundD = nullptr,
SourceLocation TemplateKWLoc = SourceLocation(),
const TemplateArgumentListInfo *TemplateArgs = nullptr);
ExprResult
BuildAnonymousStructUnionMemberReference(
const CXXScopeSpec &SS,
SourceLocation nameLoc,
IndirectFieldDecl *indirectField,
DeclAccessPair FoundDecl = DeclAccessPair::make(nullptr, AS_none),
Expr *baseObjectExpr = nullptr,
SourceLocation opLoc = SourceLocation());
ExprResult BuildPossibleImplicitMemberExpr(
const CXXScopeSpec &SS, SourceLocation TemplateKWLoc, LookupResult &R,
const TemplateArgumentListInfo *TemplateArgs, const Scope *S,
UnresolvedLookupExpr *AsULE = nullptr);
ExprResult BuildImplicitMemberExpr(const CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
LookupResult &R,
const TemplateArgumentListInfo *TemplateArgs,
bool IsDefiniteInstance,
const Scope *S);
bool UseArgumentDependentLookup(const CXXScopeSpec &SS,
const LookupResult &R,
bool HasTrailingLParen);
ExprResult
BuildQualifiedDeclarationNameExpr(CXXScopeSpec &SS,
const DeclarationNameInfo &NameInfo,
bool IsAddressOfOperand, const Scope *S,
TypeSourceInfo **RecoveryTSI = nullptr);
ExprResult BuildDependentDeclRefExpr(const CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
const DeclarationNameInfo &NameInfo,
const TemplateArgumentListInfo *TemplateArgs);
ExprResult BuildDeclarationNameExpr(const CXXScopeSpec &SS,
LookupResult &R,
bool NeedsADL,
bool AcceptInvalidDecl = false);
ExprResult BuildDeclarationNameExpr(
const CXXScopeSpec &SS, const DeclarationNameInfo &NameInfo, NamedDecl *D,
NamedDecl *FoundD = nullptr,
const TemplateArgumentListInfo *TemplateArgs = nullptr,
bool AcceptInvalidDecl = false);
ExprResult BuildLiteralOperatorCall(LookupResult &R,
DeclarationNameInfo &SuffixInfo,
ArrayRef<Expr *> Args,
SourceLocation LitEndLoc,
TemplateArgumentListInfo *ExplicitTemplateArgs = nullptr);
ExprResult BuildPredefinedExpr(SourceLocation Loc,
PredefinedExpr::IdentKind IK);
ExprResult ActOnPredefinedExpr(SourceLocation Loc, tok::TokenKind Kind);
ExprResult ActOnIntegerConstant(SourceLocation Loc, uint64_t Val);
ExprResult BuildSYCLUniqueStableNameExpr(SourceLocation OpLoc,
SourceLocation LParen,
SourceLocation RParen,
TypeSourceInfo *TSI);
ExprResult ActOnSYCLUniqueStableNameExpr(SourceLocation OpLoc,
SourceLocation LParen,
SourceLocation RParen,
ParsedType ParsedTy);
bool CheckLoopHintExpr(Expr *E, SourceLocation Loc);
ExprResult ActOnNumericConstant(const Token &Tok, Scope *UDLScope = nullptr);
ExprResult ActOnCharacterConstant(const Token &Tok,
Scope *UDLScope = nullptr);
ExprResult ActOnParenExpr(SourceLocation L, SourceLocation R, Expr *E);
ExprResult ActOnParenListExpr(SourceLocation L,
SourceLocation R,
MultiExprArg Val);
/// ActOnStringLiteral - The specified tokens were lexed as pasted string
/// fragments (e.g. "foo" "bar" L"baz").
ExprResult ActOnStringLiteral(ArrayRef<Token> StringToks,
Scope *UDLScope = nullptr);
ExprResult ActOnGenericSelectionExpr(SourceLocation KeyLoc,
SourceLocation DefaultLoc,
SourceLocation RParenLoc,
Expr *ControllingExpr,
ArrayRef<ParsedType> ArgTypes,
ArrayRef<Expr *> ArgExprs);
ExprResult CreateGenericSelectionExpr(SourceLocation KeyLoc,
SourceLocation DefaultLoc,
SourceLocation RParenLoc,
Expr *ControllingExpr,
ArrayRef<TypeSourceInfo *> Types,
ArrayRef<Expr *> Exprs);
// Binary/Unary Operators. 'Tok' is the token for the operator.
ExprResult CreateBuiltinUnaryOp(SourceLocation OpLoc, UnaryOperatorKind Opc,
Expr *InputExpr);
ExprResult BuildUnaryOp(Scope *S, SourceLocation OpLoc,
UnaryOperatorKind Opc, Expr *Input);
ExprResult ActOnUnaryOp(Scope *S, SourceLocation OpLoc,
tok::TokenKind Op, Expr *Input);
bool isQualifiedMemberAccess(Expr *E);
QualType CheckAddressOfOperand(ExprResult &Operand, SourceLocation OpLoc);
ExprResult CreateUnaryExprOrTypeTraitExpr(TypeSourceInfo *TInfo,
SourceLocation OpLoc,
UnaryExprOrTypeTrait ExprKind,
SourceRange R);
ExprResult CreateUnaryExprOrTypeTraitExpr(Expr *E, SourceLocation OpLoc,
UnaryExprOrTypeTrait ExprKind);
ExprResult
ActOnUnaryExprOrTypeTraitExpr(SourceLocation OpLoc,
UnaryExprOrTypeTrait ExprKind,
bool IsType, void *TyOrEx,
SourceRange ArgRange);
ExprResult CheckPlaceholderExpr(Expr *E);
bool CheckVecStepExpr(Expr *E);
bool CheckUnaryExprOrTypeTraitOperand(Expr *E, UnaryExprOrTypeTrait ExprKind);
bool CheckUnaryExprOrTypeTraitOperand(QualType ExprType, SourceLocation OpLoc,
SourceRange ExprRange,
UnaryExprOrTypeTrait ExprKind);
ExprResult ActOnSizeofParameterPackExpr(Scope *S,
SourceLocation OpLoc,
IdentifierInfo &Name,
SourceLocation NameLoc,
SourceLocation RParenLoc);
ExprResult ActOnPostfixUnaryOp(Scope *S, SourceLocation OpLoc,
tok::TokenKind Kind, Expr *Input);
ExprResult ActOnArraySubscriptExpr(Scope *S, Expr *Base, SourceLocation LLoc,
Expr *Idx, SourceLocation RLoc);
ExprResult CreateBuiltinArraySubscriptExpr(Expr *Base, SourceLocation LLoc,
Expr *Idx, SourceLocation RLoc);
ExprResult CreateBuiltinMatrixSubscriptExpr(Expr *Base, Expr *RowIdx,
Expr *ColumnIdx,
SourceLocation RBLoc);
ExprResult ActOnOMPArraySectionExpr(Expr *Base, SourceLocation LBLoc,
Expr *LowerBound,
SourceLocation ColonLocFirst,
SourceLocation ColonLocSecond,
Expr *Length, Expr *Stride,
SourceLocation RBLoc);
ExprResult ActOnOMPArrayShapingExpr(Expr *Base, SourceLocation LParenLoc,
SourceLocation RParenLoc,
ArrayRef<Expr *> Dims,
ArrayRef<SourceRange> Brackets);
/// Data structure for iterator expression.
struct OMPIteratorData {
IdentifierInfo *DeclIdent = nullptr;
SourceLocation DeclIdentLoc;
ParsedType Type;
OMPIteratorExpr::IteratorRange Range;
SourceLocation AssignLoc;
SourceLocation ColonLoc;
SourceLocation SecColonLoc;
};
ExprResult ActOnOMPIteratorExpr(Scope *S, SourceLocation IteratorKwLoc,
SourceLocation LLoc, SourceLocation RLoc,
ArrayRef<OMPIteratorData> Data);
// This struct is for use by ActOnMemberAccess to allow
// BuildMemberReferenceExpr to be able to reinvoke ActOnMemberAccess after
// changing the access operator from a '.' to a '->' (to see if that is the
// change needed to fix an error about an unknown member, e.g. when the class
// defines a custom operator->).
struct ActOnMemberAccessExtraArgs {
Scope *S;
UnqualifiedId &Id;
Decl *ObjCImpDecl;
};
ExprResult BuildMemberReferenceExpr(
Expr *Base, QualType BaseType, SourceLocation OpLoc, bool IsArrow,
CXXScopeSpec &SS, SourceLocation TemplateKWLoc,
NamedDecl *FirstQualifierInScope, const DeclarationNameInfo &NameInfo,
const TemplateArgumentListInfo *TemplateArgs,
const Scope *S,
ActOnMemberAccessExtraArgs *ExtraArgs = nullptr);
ExprResult
BuildMemberReferenceExpr(Expr *Base, QualType BaseType, SourceLocation OpLoc,
bool IsArrow, const CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
NamedDecl *FirstQualifierInScope, LookupResult &R,
const TemplateArgumentListInfo *TemplateArgs,
const Scope *S,
bool SuppressQualifierCheck = false,
ActOnMemberAccessExtraArgs *ExtraArgs = nullptr);
ExprResult BuildFieldReferenceExpr(Expr *BaseExpr, bool IsArrow,
SourceLocation OpLoc,
const CXXScopeSpec &SS, FieldDecl *Field,
DeclAccessPair FoundDecl,
const DeclarationNameInfo &MemberNameInfo);
ExprResult PerformMemberExprBaseConversion(Expr *Base, bool IsArrow);
bool CheckQualifiedMemberReference(Expr *BaseExpr, QualType BaseType,
const CXXScopeSpec &SS,
const LookupResult &R);
ExprResult ActOnDependentMemberExpr(Expr *Base, QualType BaseType,
bool IsArrow, SourceLocation OpLoc,
const CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
NamedDecl *FirstQualifierInScope,
const DeclarationNameInfo &NameInfo,
const TemplateArgumentListInfo *TemplateArgs);
ExprResult ActOnMemberAccessExpr(Scope *S, Expr *Base,
SourceLocation OpLoc,
tok::TokenKind OpKind,
CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
UnqualifiedId &Member,
Decl *ObjCImpDecl);
MemberExpr *
BuildMemberExpr(Expr *Base, bool IsArrow, SourceLocation OpLoc,
const CXXScopeSpec *SS, SourceLocation TemplateKWLoc,
ValueDecl *Member, DeclAccessPair FoundDecl,
bool HadMultipleCandidates,
const DeclarationNameInfo &MemberNameInfo, QualType Ty,
ExprValueKind VK, ExprObjectKind OK,
const TemplateArgumentListInfo *TemplateArgs = nullptr);
MemberExpr *
BuildMemberExpr(Expr *Base, bool IsArrow, SourceLocation OpLoc,
NestedNameSpecifierLoc NNS, SourceLocation TemplateKWLoc,
ValueDecl *Member, DeclAccessPair FoundDecl,
bool HadMultipleCandidates,
const DeclarationNameInfo &MemberNameInfo, QualType Ty,
ExprValueKind VK, ExprObjectKind OK,
const TemplateArgumentListInfo *TemplateArgs = nullptr);
void ActOnDefaultCtorInitializers(Decl *CDtorDecl);
bool ConvertArgumentsForCall(CallExpr *Call, Expr *Fn,
FunctionDecl *FDecl,
const FunctionProtoType *Proto,
ArrayRef<Expr *> Args,
SourceLocation RParenLoc,
bool ExecConfig = false);
void CheckStaticArrayArgument(SourceLocation CallLoc,
ParmVarDecl *Param,
const Expr *ArgExpr);
/// ActOnCallExpr - Handle a call to Fn with the specified array of arguments.
/// This provides the location of the left/right parens and a list of comma
/// locations.
ExprResult ActOnCallExpr(Scope *S, Expr *Fn, SourceLocation LParenLoc,
MultiExprArg ArgExprs, SourceLocation RParenLoc,
Expr *ExecConfig = nullptr);
ExprResult BuildCallExpr(Scope *S, Expr *Fn, SourceLocation LParenLoc,
MultiExprArg ArgExprs, SourceLocation RParenLoc,
Expr *ExecConfig = nullptr,
bool IsExecConfig = false,
bool AllowRecovery = false);
Expr *BuildBuiltinCallExpr(SourceLocation Loc, Builtin::ID Id,
MultiExprArg CallArgs);
enum class AtomicArgumentOrder { API, AST };
ExprResult
BuildAtomicExpr(SourceRange CallRange, SourceRange ExprRange,
SourceLocation RParenLoc, MultiExprArg Args,
AtomicExpr::AtomicOp Op,
AtomicArgumentOrder ArgOrder = AtomicArgumentOrder::API);
ExprResult
BuildResolvedCallExpr(Expr *Fn, NamedDecl *NDecl, SourceLocation LParenLoc,
ArrayRef<Expr *> Arg, SourceLocation RParenLoc,
Expr *Config = nullptr, bool IsExecConfig = false,
ADLCallKind UsesADL = ADLCallKind::NotADL);
ExprResult ActOnCUDAExecConfigExpr(Scope *S, SourceLocation LLLLoc,
MultiExprArg ExecConfig,
SourceLocation GGGLoc);
ExprResult ActOnCastExpr(Scope *S, SourceLocation LParenLoc,
Declarator &D, ParsedType &Ty,
SourceLocation RParenLoc, Expr *CastExpr);
ExprResult BuildCStyleCastExpr(SourceLocation LParenLoc,
TypeSourceInfo *Ty,
SourceLocation RParenLoc,
Expr *Op);
CastKind PrepareScalarCast(ExprResult &src, QualType destType);
/// Build an altivec or OpenCL literal.
ExprResult BuildVectorLiteral(SourceLocation LParenLoc,
SourceLocation RParenLoc, Expr *E,
TypeSourceInfo *TInfo);
ExprResult MaybeConvertParenListExprToParenExpr(Scope *S, Expr *ME);
ExprResult ActOnCompoundLiteral(SourceLocation LParenLoc,
ParsedType Ty,
SourceLocation RParenLoc,
Expr *InitExpr);
ExprResult BuildCompoundLiteralExpr(SourceLocation LParenLoc,
TypeSourceInfo *TInfo,
SourceLocation RParenLoc,
Expr *LiteralExpr);
ExprResult ActOnInitList(SourceLocation LBraceLoc,
MultiExprArg InitArgList,
SourceLocation RBraceLoc);
ExprResult BuildInitList(SourceLocation LBraceLoc,
MultiExprArg InitArgList,
SourceLocation RBraceLoc);
ExprResult ActOnDesignatedInitializer(Designation &Desig,
SourceLocation EqualOrColonLoc,
bool GNUSyntax,
ExprResult Init);
private:
static BinaryOperatorKind ConvertTokenKindToBinaryOpcode(tok::TokenKind Kind);
public:
ExprResult ActOnBinOp(Scope *S, SourceLocation TokLoc,
tok::TokenKind Kind, Expr *LHSExpr, Expr *RHSExpr);
ExprResult BuildBinOp(Scope *S, SourceLocation OpLoc,
BinaryOperatorKind Opc, Expr *LHSExpr, Expr *RHSExpr);
ExprResult CreateBuiltinBinOp(SourceLocation OpLoc, BinaryOperatorKind Opc,
Expr *LHSExpr, Expr *RHSExpr);
void LookupBinOp(Scope *S, SourceLocation OpLoc, BinaryOperatorKind Opc,
UnresolvedSetImpl &Functions);
void DiagnoseCommaOperator(const Expr *LHS, SourceLocation Loc);
/// ActOnConditionalOp - Parse a ?: operation. Note that 'LHS' may be null
/// in the case of a the GNU conditional expr extension.
ExprResult ActOnConditionalOp(SourceLocation QuestionLoc,
SourceLocation ColonLoc,
Expr *CondExpr, Expr *LHSExpr, Expr *RHSExpr);
/// ActOnAddrLabel - Parse the GNU address of label extension: "&&foo".
ExprResult ActOnAddrLabel(SourceLocation OpLoc, SourceLocation LabLoc,
LabelDecl *TheDecl);
void ActOnStartStmtExpr();
ExprResult ActOnStmtExpr(Scope *S, SourceLocation LPLoc, Stmt *SubStmt,
SourceLocation RPLoc);
ExprResult BuildStmtExpr(SourceLocation LPLoc, Stmt *SubStmt,
SourceLocation RPLoc, unsigned TemplateDepth);
// Handle the final expression in a statement expression.
ExprResult ActOnStmtExprResult(ExprResult E);
void ActOnStmtExprError();
// __builtin_offsetof(type, identifier(.identifier|[expr])*)
struct OffsetOfComponent {
SourceLocation LocStart, LocEnd;
bool isBrackets; // true if [expr], false if .ident
union {
IdentifierInfo *IdentInfo;
Expr *E;
} U;
};
/// __builtin_offsetof(type, a.b[123][456].c)
ExprResult BuildBuiltinOffsetOf(SourceLocation BuiltinLoc,
TypeSourceInfo *TInfo,
ArrayRef<OffsetOfComponent> Components,
SourceLocation RParenLoc);
ExprResult ActOnBuiltinOffsetOf(Scope *S,
SourceLocation BuiltinLoc,
SourceLocation TypeLoc,
ParsedType ParsedArgTy,
ArrayRef<OffsetOfComponent> Components,
SourceLocation RParenLoc);
// __builtin_choose_expr(constExpr, expr1, expr2)
ExprResult ActOnChooseExpr(SourceLocation BuiltinLoc,
Expr *CondExpr, Expr *LHSExpr,
Expr *RHSExpr, SourceLocation RPLoc);
// __builtin_va_arg(expr, type)
ExprResult ActOnVAArg(SourceLocation BuiltinLoc, Expr *E, ParsedType Ty,
SourceLocation RPLoc);
ExprResult BuildVAArgExpr(SourceLocation BuiltinLoc, Expr *E,
TypeSourceInfo *TInfo, SourceLocation RPLoc);
// __builtin_LINE(), __builtin_FUNCTION(), __builtin_FILE(),
// __builtin_COLUMN()
ExprResult ActOnSourceLocExpr(SourceLocExpr::IdentKind Kind,
SourceLocation BuiltinLoc,
SourceLocation RPLoc);
// Build a potentially resolved SourceLocExpr.
ExprResult BuildSourceLocExpr(SourceLocExpr::IdentKind Kind,
SourceLocation BuiltinLoc, SourceLocation RPLoc,
DeclContext *ParentContext);
// __null
ExprResult ActOnGNUNullExpr(SourceLocation TokenLoc);
bool CheckCaseExpression(Expr *E);
/// Describes the result of an "if-exists" condition check.
enum IfExistsResult {
/// The symbol exists.
IER_Exists,
/// The symbol does not exist.
IER_DoesNotExist,
/// The name is a dependent name, so the results will differ
/// from one instantiation to the next.
IER_Dependent,
/// An error occurred.
IER_Error
};
IfExistsResult
CheckMicrosoftIfExistsSymbol(Scope *S, CXXScopeSpec &SS,
const DeclarationNameInfo &TargetNameInfo);
IfExistsResult
CheckMicrosoftIfExistsSymbol(Scope *S, SourceLocation KeywordLoc,
bool IsIfExists, CXXScopeSpec &SS,
UnqualifiedId &Name);
StmtResult BuildMSDependentExistsStmt(SourceLocation KeywordLoc,
bool IsIfExists,
NestedNameSpecifierLoc QualifierLoc,
DeclarationNameInfo NameInfo,
Stmt *Nested);
StmtResult ActOnMSDependentExistsStmt(SourceLocation KeywordLoc,
bool IsIfExists,
CXXScopeSpec &SS, UnqualifiedId &Name,
Stmt *Nested);
//===------------------------- "Block" Extension ------------------------===//
/// ActOnBlockStart - This callback is invoked when a block literal is
/// started.
void ActOnBlockStart(SourceLocation CaretLoc, Scope *CurScope);
/// ActOnBlockArguments - This callback allows processing of block arguments.
/// If there are no arguments, this is still invoked.
void ActOnBlockArguments(SourceLocation CaretLoc, Declarator &ParamInfo,
Scope *CurScope);
/// ActOnBlockError - If there is an error parsing a block, this callback
/// is invoked to pop the information about the block from the action impl.
void ActOnBlockError(SourceLocation CaretLoc, Scope *CurScope);
/// ActOnBlockStmtExpr - This is called when the body of a block statement
/// literal was successfully completed. ^(int x){...}
ExprResult ActOnBlockStmtExpr(SourceLocation CaretLoc, Stmt *Body,
Scope *CurScope);
//===---------------------------- Clang Extensions ----------------------===//
/// __builtin_convertvector(...)
ExprResult ActOnConvertVectorExpr(Expr *E, ParsedType ParsedDestTy,
SourceLocation BuiltinLoc,
SourceLocation RParenLoc);
//===---------------------------- OpenCL Features -----------------------===//
/// __builtin_astype(...)
ExprResult ActOnAsTypeExpr(Expr *E, ParsedType ParsedDestTy,
SourceLocation BuiltinLoc,
SourceLocation RParenLoc);
ExprResult BuildAsTypeExpr(Expr *E, QualType DestTy,
SourceLocation BuiltinLoc,
SourceLocation RParenLoc);
//===---------------------------- C++ Features --------------------------===//
// Act on C++ namespaces
Decl *ActOnStartNamespaceDef(Scope *S, SourceLocation InlineLoc,
SourceLocation NamespaceLoc,
SourceLocation IdentLoc, IdentifierInfo *Ident,
SourceLocation LBrace,
const ParsedAttributesView &AttrList,
UsingDirectiveDecl *&UsingDecl);
void ActOnFinishNamespaceDef(Decl *Dcl, SourceLocation RBrace);
NamespaceDecl *getStdNamespace() const;
NamespaceDecl *getOrCreateStdNamespace();
NamespaceDecl *lookupStdExperimentalNamespace();
NamespaceDecl *getCachedCoroNamespace() { return CoroTraitsNamespaceCache; }
CXXRecordDecl *getStdBadAlloc() const;
EnumDecl *getStdAlignValT() const;
private:
// A cache representing if we've fully checked the various comparison category
// types stored in ASTContext. The bit-index corresponds to the integer value
// of a ComparisonCategoryType enumerator.
llvm::SmallBitVector FullyCheckedComparisonCategories;
ValueDecl *tryLookupCtorInitMemberDecl(CXXRecordDecl *ClassDecl,
CXXScopeSpec &SS,
ParsedType TemplateTypeTy,
IdentifierInfo *MemberOrBase);
public:
enum class ComparisonCategoryUsage {
/// The '<=>' operator was used in an expression and a builtin operator
/// was selected.
OperatorInExpression,
/// A defaulted 'operator<=>' needed the comparison category. This
/// typically only applies to 'std::strong_ordering', due to the implicit
/// fallback return value.
DefaultedOperator,
};
/// Lookup the specified comparison category types in the standard
/// library, an check the VarDecls possibly returned by the operator<=>
/// builtins for that type.
///
/// \return The type of the comparison category type corresponding to the
/// specified Kind, or a null type if an error occurs
QualType CheckComparisonCategoryType(ComparisonCategoryType Kind,
SourceLocation Loc,
ComparisonCategoryUsage Usage);
/// Tests whether Ty is an instance of std::initializer_list and, if
/// it is and Element is not NULL, assigns the element type to Element.
bool isStdInitializerList(QualType Ty, QualType *Element);
/// Looks for the std::initializer_list template and instantiates it
/// with Element, or emits an error if it's not found.
///
/// \returns The instantiated template, or null on error.
QualType BuildStdInitializerList(QualType Element, SourceLocation Loc);
/// Determine whether Ctor is an initializer-list constructor, as
/// defined in [dcl.init.list]p2.
bool isInitListConstructor(const FunctionDecl *Ctor);
Decl *ActOnUsingDirective(Scope *CurScope, SourceLocation UsingLoc,
SourceLocation NamespcLoc, CXXScopeSpec &SS,
SourceLocation IdentLoc,
IdentifierInfo *NamespcName,
const ParsedAttributesView &AttrList);
void PushUsingDirective(Scope *S, UsingDirectiveDecl *UDir);
Decl *ActOnNamespaceAliasDef(Scope *CurScope,
SourceLocation NamespaceLoc,
SourceLocation AliasLoc,
IdentifierInfo *Alias,
CXXScopeSpec &SS,
SourceLocation IdentLoc,
IdentifierInfo *Ident);
void FilterUsingLookup(Scope *S, LookupResult &lookup);
void HideUsingShadowDecl(Scope *S, UsingShadowDecl *Shadow);
bool CheckUsingShadowDecl(BaseUsingDecl *BUD, NamedDecl *Target,
const LookupResult &PreviousDecls,
UsingShadowDecl *&PrevShadow);
UsingShadowDecl *BuildUsingShadowDecl(Scope *S, BaseUsingDecl *BUD,
NamedDecl *Target,
UsingShadowDecl *PrevDecl);
bool CheckUsingDeclRedeclaration(SourceLocation UsingLoc,
bool HasTypenameKeyword,
const CXXScopeSpec &SS,
SourceLocation NameLoc,
const LookupResult &Previous);
bool CheckUsingDeclQualifier(SourceLocation UsingLoc, bool HasTypename,
const CXXScopeSpec &SS,
const DeclarationNameInfo &NameInfo,
SourceLocation NameLoc,
const LookupResult *R = nullptr,
const UsingDecl *UD = nullptr);
NamedDecl *BuildUsingDeclaration(
Scope *S, AccessSpecifier AS, SourceLocation UsingLoc,
bool HasTypenameKeyword, SourceLocation TypenameLoc, CXXScopeSpec &SS,
DeclarationNameInfo NameInfo, SourceLocation EllipsisLoc,
const ParsedAttributesView &AttrList, bool IsInstantiation,
bool IsUsingIfExists);
NamedDecl *BuildUsingEnumDeclaration(Scope *S, AccessSpecifier AS,
SourceLocation UsingLoc,
SourceLocation EnumLoc,
SourceLocation NameLoc, EnumDecl *ED);
NamedDecl *BuildUsingPackDecl(NamedDecl *InstantiatedFrom,
ArrayRef<NamedDecl *> Expansions);
bool CheckInheritingConstructorUsingDecl(UsingDecl *UD);
/// Given a derived-class using shadow declaration for a constructor and the
/// correspnding base class constructor, find or create the implicit
/// synthesized derived class constructor to use for this initialization.
CXXConstructorDecl *
findInheritingConstructor(SourceLocation Loc, CXXConstructorDecl *BaseCtor,
ConstructorUsingShadowDecl *DerivedShadow);
Decl *ActOnUsingDeclaration(Scope *CurScope, AccessSpecifier AS,
SourceLocation UsingLoc,
SourceLocation TypenameLoc, CXXScopeSpec &SS,
UnqualifiedId &Name, SourceLocation EllipsisLoc,
const ParsedAttributesView &AttrList);
Decl *ActOnUsingEnumDeclaration(Scope *CurScope, AccessSpecifier AS,
SourceLocation UsingLoc,
SourceLocation EnumLoc, const DeclSpec &);
Decl *ActOnAliasDeclaration(Scope *CurScope, AccessSpecifier AS,
MultiTemplateParamsArg TemplateParams,
SourceLocation UsingLoc, UnqualifiedId &Name,
const ParsedAttributesView &AttrList,
TypeResult Type, Decl *DeclFromDeclSpec);
/// BuildCXXConstructExpr - Creates a complete call to a constructor,
/// including handling of its default argument expressions.
///
/// \param ConstructKind - a CXXConstructExpr::ConstructionKind
ExprResult
BuildCXXConstructExpr(SourceLocation ConstructLoc, QualType DeclInitType,
NamedDecl *FoundDecl,
CXXConstructorDecl *Constructor, MultiExprArg Exprs,
bool HadMultipleCandidates, bool IsListInitialization,
bool IsStdInitListInitialization,
bool RequiresZeroInit, unsigned ConstructKind,
SourceRange ParenRange);
/// Build a CXXConstructExpr whose constructor has already been resolved if
/// it denotes an inherited constructor.
ExprResult
BuildCXXConstructExpr(SourceLocation ConstructLoc, QualType DeclInitType,
CXXConstructorDecl *Constructor, bool Elidable,
MultiExprArg Exprs,
bool HadMultipleCandidates, bool IsListInitialization,
bool IsStdInitListInitialization,
bool RequiresZeroInit, unsigned ConstructKind,
SourceRange ParenRange);
// FIXME: Can we remove this and have the above BuildCXXConstructExpr check if
// the constructor can be elidable?
ExprResult
BuildCXXConstructExpr(SourceLocation ConstructLoc, QualType DeclInitType,
NamedDecl *FoundDecl,
CXXConstructorDecl *Constructor, bool Elidable,
MultiExprArg Exprs, bool HadMultipleCandidates,
bool IsListInitialization,
bool IsStdInitListInitialization, bool RequiresZeroInit,
unsigned ConstructKind, SourceRange ParenRange);
ExprResult BuildCXXDefaultInitExpr(SourceLocation Loc, FieldDecl *Field);
/// Instantiate or parse a C++ default argument expression as necessary.
/// Return true on error.
bool CheckCXXDefaultArgExpr(SourceLocation CallLoc, FunctionDecl *FD,
ParmVarDecl *Param);
/// BuildCXXDefaultArgExpr - Creates a CXXDefaultArgExpr, instantiating
/// the default expr if needed.
ExprResult BuildCXXDefaultArgExpr(SourceLocation CallLoc,
FunctionDecl *FD,
ParmVarDecl *Param);
/// FinalizeVarWithDestructor - Prepare for calling destructor on the
/// constructed variable.
void FinalizeVarWithDestructor(VarDecl *VD, const RecordType *DeclInitType);
/// Helper class that collects exception specifications for
/// implicitly-declared special member functions.
class ImplicitExceptionSpecification {
// Pointer to allow copying
Sema *Self;
// We order exception specifications thus:
// noexcept is the most restrictive, but is only used in C++11.
// throw() comes next.
// Then a throw(collected exceptions)
// Finally no specification, which is expressed as noexcept(false).
// throw(...) is used instead if any called function uses it.
ExceptionSpecificationType ComputedEST;
llvm::SmallPtrSet<CanQualType, 4> ExceptionsSeen;
SmallVector<QualType, 4> Exceptions;
void ClearExceptions() {
ExceptionsSeen.clear();
Exceptions.clear();
}
public:
explicit ImplicitExceptionSpecification(Sema &Self)
: Self(&Self), ComputedEST(EST_BasicNoexcept) {
if (!Self.getLangOpts().CPlusPlus11)
ComputedEST = EST_DynamicNone;
}
/// Get the computed exception specification type.
ExceptionSpecificationType getExceptionSpecType() const {
assert(!isComputedNoexcept(ComputedEST) &&
"noexcept(expr) should not be a possible result");
return ComputedEST;
}
/// The number of exceptions in the exception specification.
unsigned size() const { return Exceptions.size(); }
/// The set of exceptions in the exception specification.
const QualType *data() const { return Exceptions.data(); }
/// Integrate another called method into the collected data.
void CalledDecl(SourceLocation CallLoc, const CXXMethodDecl *Method);
/// Integrate an invoked expression into the collected data.
void CalledExpr(Expr *E) { CalledStmt(E); }
/// Integrate an invoked statement into the collected data.
void CalledStmt(Stmt *S);
/// Overwrite an EPI's exception specification with this
/// computed exception specification.
FunctionProtoType::ExceptionSpecInfo getExceptionSpec() const {
FunctionProtoType::ExceptionSpecInfo ESI;
ESI.Type = getExceptionSpecType();
if (ESI.Type == EST_Dynamic) {
ESI.Exceptions = Exceptions;
} else if (ESI.Type == EST_None) {
/// C++11 [except.spec]p14:
/// The exception-specification is noexcept(false) if the set of
/// potential exceptions of the special member function contains "any"
ESI.Type = EST_NoexceptFalse;
ESI.NoexceptExpr = Self->ActOnCXXBoolLiteral(SourceLocation(),
tok::kw_false).get();
}
return ESI;
}
};
/// Evaluate the implicit exception specification for a defaulted
/// special member function.
void EvaluateImplicitExceptionSpec(SourceLocation Loc, FunctionDecl *FD);
/// Check the given noexcept-specifier, convert its expression, and compute
/// the appropriate ExceptionSpecificationType.
ExprResult ActOnNoexceptSpec(Expr *NoexceptExpr,
ExceptionSpecificationType &EST);
/// Check the given exception-specification and update the
/// exception specification information with the results.
void checkExceptionSpecification(bool IsTopLevel,
ExceptionSpecificationType EST,
ArrayRef<ParsedType> DynamicExceptions,
ArrayRef<SourceRange> DynamicExceptionRanges,
Expr *NoexceptExpr,
SmallVectorImpl<QualType> &Exceptions,
FunctionProtoType::ExceptionSpecInfo &ESI);
/// Determine if we're in a case where we need to (incorrectly) eagerly
/// parse an exception specification to work around a libstdc++ bug.
bool isLibstdcxxEagerExceptionSpecHack(const Declarator &D);
/// Add an exception-specification to the given member function
/// (or member function template). The exception-specification was parsed
/// after the method itself was declared.
void actOnDelayedExceptionSpecification(Decl *Method,
ExceptionSpecificationType EST,
SourceRange SpecificationRange,
ArrayRef<ParsedType> DynamicExceptions,
ArrayRef<SourceRange> DynamicExceptionRanges,
Expr *NoexceptExpr);
class InheritedConstructorInfo;
/// Determine if a special member function should have a deleted
/// definition when it is defaulted.
bool ShouldDeleteSpecialMember(CXXMethodDecl *MD, CXXSpecialMember CSM,
InheritedConstructorInfo *ICI = nullptr,
bool Diagnose = false);
/// Produce notes explaining why a defaulted function was defined as deleted.
void DiagnoseDeletedDefaultedFunction(FunctionDecl *FD);
/// Declare the implicit default constructor for the given class.
///
/// \param ClassDecl The class declaration into which the implicit
/// default constructor will be added.
///
/// \returns The implicitly-declared default constructor.
CXXConstructorDecl *DeclareImplicitDefaultConstructor(
CXXRecordDecl *ClassDecl);
/// DefineImplicitDefaultConstructor - Checks for feasibility of
/// defining this constructor as the default constructor.
void DefineImplicitDefaultConstructor(SourceLocation CurrentLocation,
CXXConstructorDecl *Constructor);
/// Declare the implicit destructor for the given class.
///
/// \param ClassDecl The class declaration into which the implicit
/// destructor will be added.
///
/// \returns The implicitly-declared destructor.
CXXDestructorDecl *DeclareImplicitDestructor(CXXRecordDecl *ClassDecl);
/// DefineImplicitDestructor - Checks for feasibility of
/// defining this destructor as the default destructor.
void DefineImplicitDestructor(SourceLocation CurrentLocation,
CXXDestructorDecl *Destructor);
/// Build an exception spec for destructors that don't have one.
///
/// C++11 says that user-defined destructors with no exception spec get one
/// that looks as if the destructor was implicitly declared.
void AdjustDestructorExceptionSpec(CXXDestructorDecl *Destructor);
/// Define the specified inheriting constructor.
void DefineInheritingConstructor(SourceLocation UseLoc,
CXXConstructorDecl *Constructor);
/// Declare the implicit copy constructor for the given class.
///
/// \param ClassDecl The class declaration into which the implicit
/// copy constructor will be added.
///
/// \returns The implicitly-declared copy constructor.
CXXConstructorDecl *DeclareImplicitCopyConstructor(CXXRecordDecl *ClassDecl);
/// DefineImplicitCopyConstructor - Checks for feasibility of
/// defining this constructor as the copy constructor.
void DefineImplicitCopyConstructor(SourceLocation CurrentLocation,
CXXConstructorDecl *Constructor);
/// Declare the implicit move constructor for the given class.
///
/// \param ClassDecl The Class declaration into which the implicit
/// move constructor will be added.
///
/// \returns The implicitly-declared move constructor, or NULL if it wasn't
/// declared.
CXXConstructorDecl *DeclareImplicitMoveConstructor(CXXRecordDecl *ClassDecl);
/// DefineImplicitMoveConstructor - Checks for feasibility of
/// defining this constructor as the move constructor.
void DefineImplicitMoveConstructor(SourceLocation CurrentLocation,
CXXConstructorDecl *Constructor);
/// Declare the implicit copy assignment operator for the given class.
///
/// \param ClassDecl The class declaration into which the implicit
/// copy assignment operator will be added.
///
/// \returns The implicitly-declared copy assignment operator.
CXXMethodDecl *DeclareImplicitCopyAssignment(CXXRecordDecl *ClassDecl);
/// Defines an implicitly-declared copy assignment operator.
void DefineImplicitCopyAssignment(SourceLocation CurrentLocation,
CXXMethodDecl *MethodDecl);
/// Declare the implicit move assignment operator for the given class.
///
/// \param ClassDecl The Class declaration into which the implicit
/// move assignment operator will be added.
///
/// \returns The implicitly-declared move assignment operator, or NULL if it
/// wasn't declared.
CXXMethodDecl *DeclareImplicitMoveAssignment(CXXRecordDecl *ClassDecl);
/// Defines an implicitly-declared move assignment operator.
void DefineImplicitMoveAssignment(SourceLocation CurrentLocation,
CXXMethodDecl *MethodDecl);
/// Force the declaration of any implicitly-declared members of this
/// class.
void ForceDeclarationOfImplicitMembers(CXXRecordDecl *Class);
/// Check a completed declaration of an implicit special member.
void CheckImplicitSpecialMemberDeclaration(Scope *S, FunctionDecl *FD);
/// Determine whether the given function is an implicitly-deleted
/// special member function.
bool isImplicitlyDeleted(FunctionDecl *FD);
/// Check whether 'this' shows up in the type of a static member
/// function after the (naturally empty) cv-qualifier-seq would be.
///
/// \returns true if an error occurred.
bool checkThisInStaticMemberFunctionType(CXXMethodDecl *Method);
/// Whether this' shows up in the exception specification of a static
/// member function.
bool checkThisInStaticMemberFunctionExceptionSpec(CXXMethodDecl *Method);
/// Check whether 'this' shows up in the attributes of the given
/// static member function.
///
/// \returns true if an error occurred.
bool checkThisInStaticMemberFunctionAttributes(CXXMethodDecl *Method);
/// MaybeBindToTemporary - If the passed in expression has a record type with
/// a non-trivial destructor, this will return CXXBindTemporaryExpr. Otherwise
/// it simply returns the passed in expression.
ExprResult MaybeBindToTemporary(Expr *E);
/// Wrap the expression in a ConstantExpr if it is a potential immediate
/// invocation.
ExprResult CheckForImmediateInvocation(ExprResult E, FunctionDecl *Decl);
bool CompleteConstructorCall(CXXConstructorDecl *Constructor,
QualType DeclInitType, MultiExprArg ArgsPtr,
SourceLocation Loc,
SmallVectorImpl<Expr *> &ConvertedArgs,
bool AllowExplicit = false,
bool IsListInitialization = false);
ParsedType getInheritingConstructorName(CXXScopeSpec &SS,
SourceLocation NameLoc,
IdentifierInfo &Name);
ParsedType getConstructorName(IdentifierInfo &II, SourceLocation NameLoc,
Scope *S, CXXScopeSpec &SS,
bool EnteringContext);
ParsedType getDestructorName(SourceLocation TildeLoc,
IdentifierInfo &II, SourceLocation NameLoc,
Scope *S, CXXScopeSpec &SS,
ParsedType ObjectType,
bool EnteringContext);
ParsedType getDestructorTypeForDecltype(const DeclSpec &DS,
ParsedType ObjectType);
// Checks that reinterpret casts don't have undefined behavior.
void CheckCompatibleReinterpretCast(QualType SrcType, QualType DestType,
bool IsDereference, SourceRange Range);
// Checks that the vector type should be initialized from a scalar
// by splatting the value rather than populating a single element.
// This is the case for AltiVecVector types as well as with
// AltiVecPixel and AltiVecBool when -faltivec-src-compat=xl is specified.
bool ShouldSplatAltivecScalarInCast(const VectorType *VecTy);
// Checks if the -faltivec-src-compat=gcc option is specified.
// If so, AltiVecVector, AltiVecBool and AltiVecPixel types are
// treated the same way as they are when trying to initialize
// these vectors on gcc (an error is emitted).
bool CheckAltivecInitFromScalar(SourceRange R, QualType VecTy,
QualType SrcTy);
/// ActOnCXXNamedCast - Parse
/// {dynamic,static,reinterpret,const,addrspace}_cast's.
ExprResult ActOnCXXNamedCast(SourceLocation OpLoc,
tok::TokenKind Kind,
SourceLocation LAngleBracketLoc,
Declarator &D,
SourceLocation RAngleBracketLoc,
SourceLocation LParenLoc,
Expr *E,
SourceLocation RParenLoc);
ExprResult BuildCXXNamedCast(SourceLocation OpLoc,
tok::TokenKind Kind,
TypeSourceInfo *Ty,
Expr *E,
SourceRange AngleBrackets,
SourceRange Parens);
ExprResult ActOnBuiltinBitCastExpr(SourceLocation KWLoc, Declarator &Dcl,
ExprResult Operand,
SourceLocation RParenLoc);
ExprResult BuildBuiltinBitCastExpr(SourceLocation KWLoc, TypeSourceInfo *TSI,
Expr *Operand, SourceLocation RParenLoc);
ExprResult BuildCXXTypeId(QualType TypeInfoType,
SourceLocation TypeidLoc,
TypeSourceInfo *Operand,
SourceLocation RParenLoc);
ExprResult BuildCXXTypeId(QualType TypeInfoType,
SourceLocation TypeidLoc,
Expr *Operand,
SourceLocation RParenLoc);
/// ActOnCXXTypeid - Parse typeid( something ).
ExprResult ActOnCXXTypeid(SourceLocation OpLoc,
SourceLocation LParenLoc, bool isType,
void *TyOrExpr,
SourceLocation RParenLoc);
ExprResult BuildCXXUuidof(QualType TypeInfoType,
SourceLocation TypeidLoc,
TypeSourceInfo *Operand,
SourceLocation RParenLoc);
ExprResult BuildCXXUuidof(QualType TypeInfoType,
SourceLocation TypeidLoc,
Expr *Operand,
SourceLocation RParenLoc);
/// ActOnCXXUuidof - Parse __uuidof( something ).
ExprResult ActOnCXXUuidof(SourceLocation OpLoc,
SourceLocation LParenLoc, bool isType,
void *TyOrExpr,
SourceLocation RParenLoc);
/// Handle a C++1z fold-expression: ( expr op ... op expr ).
ExprResult ActOnCXXFoldExpr(Scope *S, SourceLocation LParenLoc, Expr *LHS,
tok::TokenKind Operator,
SourceLocation EllipsisLoc, Expr *RHS,
SourceLocation RParenLoc);
ExprResult BuildCXXFoldExpr(UnresolvedLookupExpr *Callee,
SourceLocation LParenLoc, Expr *LHS,
BinaryOperatorKind Operator,
SourceLocation EllipsisLoc, Expr *RHS,
SourceLocation RParenLoc,
Optional<unsigned> NumExpansions);
ExprResult BuildEmptyCXXFoldExpr(SourceLocation EllipsisLoc,
BinaryOperatorKind Operator);
//// ActOnCXXThis - Parse 'this' pointer.
ExprResult ActOnCXXThis(SourceLocation loc);
/// Build a CXXThisExpr and mark it referenced in the current context.
Expr *BuildCXXThisExpr(SourceLocation Loc, QualType Type, bool IsImplicit);
void MarkThisReferenced(CXXThisExpr *This);
/// Try to retrieve the type of the 'this' pointer.
///
/// \returns The type of 'this', if possible. Otherwise, returns a NULL type.
QualType getCurrentThisType();
/// When non-NULL, the C++ 'this' expression is allowed despite the
/// current context not being a non-static member function. In such cases,
/// this provides the type used for 'this'.
QualType CXXThisTypeOverride;
/// RAII object used to temporarily allow the C++ 'this' expression
/// to be used, with the given qualifiers on the current class type.
class CXXThisScopeRAII {
Sema &S;
QualType OldCXXThisTypeOverride;
bool Enabled;
public:
/// Introduce a new scope where 'this' may be allowed (when enabled),
/// using the given declaration (which is either a class template or a
/// class) along with the given qualifiers.
/// along with the qualifiers placed on '*this'.
CXXThisScopeRAII(Sema &S, Decl *ContextDecl, Qualifiers CXXThisTypeQuals,
bool Enabled = true);
~CXXThisScopeRAII();
};
/// Make sure the value of 'this' is actually available in the current
/// context, if it is a potentially evaluated context.
///
/// \param Loc The location at which the capture of 'this' occurs.
///
/// \param Explicit Whether 'this' is explicitly captured in a lambda
/// capture list.
///
/// \param FunctionScopeIndexToStopAt If non-null, it points to the index
/// of the FunctionScopeInfo stack beyond which we do not attempt to capture.
/// This is useful when enclosing lambdas must speculatively capture
/// 'this' that may or may not be used in certain specializations of
/// a nested generic lambda (depending on whether the name resolves to
/// a non-static member function or a static function).
/// \return returns 'true' if failed, 'false' if success.
bool CheckCXXThisCapture(SourceLocation Loc, bool Explicit = false,
bool BuildAndDiagnose = true,
const unsigned *const FunctionScopeIndexToStopAt = nullptr,
bool ByCopy = false);
/// Determine whether the given type is the type of *this that is used
/// outside of the body of a member function for a type that is currently
/// being defined.
bool isThisOutsideMemberFunctionBody(QualType BaseType);
/// ActOnCXXBoolLiteral - Parse {true,false} literals.
ExprResult ActOnCXXBoolLiteral(SourceLocation OpLoc, tok::TokenKind Kind);
/// ActOnObjCBoolLiteral - Parse {__objc_yes,__objc_no} literals.
ExprResult ActOnObjCBoolLiteral(SourceLocation OpLoc, tok::TokenKind Kind);
ExprResult
ActOnObjCAvailabilityCheckExpr(llvm::ArrayRef<AvailabilitySpec> AvailSpecs,
SourceLocation AtLoc, SourceLocation RParen);
/// ActOnCXXNullPtrLiteral - Parse 'nullptr'.
ExprResult ActOnCXXNullPtrLiteral(SourceLocation Loc);
//// ActOnCXXThrow - Parse throw expressions.
ExprResult ActOnCXXThrow(Scope *S, SourceLocation OpLoc, Expr *expr);
ExprResult BuildCXXThrow(SourceLocation OpLoc, Expr *Ex,
bool IsThrownVarInScope);
bool CheckCXXThrowOperand(SourceLocation ThrowLoc, QualType ThrowTy, Expr *E);
/// ActOnCXXTypeConstructExpr - Parse construction of a specified type.
/// Can be interpreted either as function-style casting ("int(x)")
/// or class type construction ("ClassType(x,y,z)")
/// or creation of a value-initialized type ("int()").
ExprResult ActOnCXXTypeConstructExpr(ParsedType TypeRep,
SourceLocation LParenOrBraceLoc,
MultiExprArg Exprs,
SourceLocation RParenOrBraceLoc,
bool ListInitialization);
ExprResult BuildCXXTypeConstructExpr(TypeSourceInfo *Type,
SourceLocation LParenLoc,
MultiExprArg Exprs,
SourceLocation RParenLoc,
bool ListInitialization);
/// ActOnCXXNew - Parsed a C++ 'new' expression.
ExprResult ActOnCXXNew(SourceLocation StartLoc, bool UseGlobal,
SourceLocation PlacementLParen,
MultiExprArg PlacementArgs,
SourceLocation PlacementRParen,
SourceRange TypeIdParens, Declarator &D,
Expr *Initializer);
ExprResult BuildCXXNew(SourceRange Range, bool UseGlobal,
SourceLocation PlacementLParen,
MultiExprArg PlacementArgs,
SourceLocation PlacementRParen,
SourceRange TypeIdParens,
QualType AllocType,
TypeSourceInfo *AllocTypeInfo,
Optional<Expr *> ArraySize,
SourceRange DirectInitRange,
Expr *Initializer);
/// Determine whether \p FD is an aligned allocation or deallocation
/// function that is unavailable.
bool isUnavailableAlignedAllocationFunction(const FunctionDecl &FD) const;
/// Produce diagnostics if \p FD is an aligned allocation or deallocation
/// function that is unavailable.
void diagnoseUnavailableAlignedAllocation(const FunctionDecl &FD,
SourceLocation Loc);
bool CheckAllocatedType(QualType AllocType, SourceLocation Loc,
SourceRange R);
/// The scope in which to find allocation functions.
enum AllocationFunctionScope {
/// Only look for allocation functions in the global scope.
AFS_Global,
/// Only look for allocation functions in the scope of the
/// allocated class.
AFS_Class,
/// Look for allocation functions in both the global scope
/// and in the scope of the allocated class.
AFS_Both
};
/// Finds the overloads of operator new and delete that are appropriate
/// for the allocation.
bool FindAllocationFunctions(SourceLocation StartLoc, SourceRange Range,
AllocationFunctionScope NewScope,
AllocationFunctionScope DeleteScope,
QualType AllocType, bool IsArray,
bool &PassAlignment, MultiExprArg PlaceArgs,
FunctionDecl *&OperatorNew,
FunctionDecl *&OperatorDelete,
bool Diagnose = true);
void DeclareGlobalNewDelete();
void DeclareGlobalAllocationFunction(DeclarationName Name, QualType Return,
ArrayRef<QualType> Params);
bool FindDeallocationFunction(SourceLocation StartLoc, CXXRecordDecl *RD,
DeclarationName Name, FunctionDecl* &Operator,
bool Diagnose = true);
FunctionDecl *FindUsualDeallocationFunction(SourceLocation StartLoc,
bool CanProvideSize,
bool Overaligned,
DeclarationName Name);
FunctionDecl *FindDeallocationFunctionForDestructor(SourceLocation StartLoc,
CXXRecordDecl *RD);
/// ActOnCXXDelete - Parsed a C++ 'delete' expression
ExprResult ActOnCXXDelete(SourceLocation StartLoc,
bool UseGlobal, bool ArrayForm,
Expr *Operand);
void CheckVirtualDtorCall(CXXDestructorDecl *dtor, SourceLocation Loc,
bool IsDelete, bool CallCanBeVirtual,
bool WarnOnNonAbstractTypes,
SourceLocation DtorLoc);
ExprResult ActOnNoexceptExpr(SourceLocation KeyLoc, SourceLocation LParen,
Expr *Operand, SourceLocation RParen);
ExprResult BuildCXXNoexceptExpr(SourceLocation KeyLoc, Expr *Operand,
SourceLocation RParen);
/// Parsed one of the type trait support pseudo-functions.
ExprResult ActOnTypeTrait(TypeTrait Kind, SourceLocation KWLoc,
ArrayRef<ParsedType> Args,
SourceLocation RParenLoc);
ExprResult BuildTypeTrait(TypeTrait Kind, SourceLocation KWLoc,
ArrayRef<TypeSourceInfo *> Args,
SourceLocation RParenLoc);
/// ActOnArrayTypeTrait - Parsed one of the binary type trait support
/// pseudo-functions.
ExprResult ActOnArrayTypeTrait(ArrayTypeTrait ATT,
SourceLocation KWLoc,
ParsedType LhsTy,
Expr *DimExpr,
SourceLocation RParen);
ExprResult BuildArrayTypeTrait(ArrayTypeTrait ATT,
SourceLocation KWLoc,
TypeSourceInfo *TSInfo,
Expr *DimExpr,
SourceLocation RParen);
/// ActOnExpressionTrait - Parsed one of the unary type trait support
/// pseudo-functions.
ExprResult ActOnExpressionTrait(ExpressionTrait OET,
SourceLocation KWLoc,
Expr *Queried,
SourceLocation RParen);
ExprResult BuildExpressionTrait(ExpressionTrait OET,
SourceLocation KWLoc,
Expr *Queried,
SourceLocation RParen);
ExprResult ActOnStartCXXMemberReference(Scope *S,
Expr *Base,
SourceLocation OpLoc,
tok::TokenKind OpKind,
ParsedType &ObjectType,
bool &MayBePseudoDestructor);
ExprResult BuildPseudoDestructorExpr(Expr *Base,
SourceLocation OpLoc,
tok::TokenKind OpKind,
const CXXScopeSpec &SS,
TypeSourceInfo *ScopeType,
SourceLocation CCLoc,
SourceLocation TildeLoc,
PseudoDestructorTypeStorage DestroyedType);
ExprResult ActOnPseudoDestructorExpr(Scope *S, Expr *Base,
SourceLocation OpLoc,
tok::TokenKind OpKind,
CXXScopeSpec &SS,
UnqualifiedId &FirstTypeName,
SourceLocation CCLoc,
SourceLocation TildeLoc,
UnqualifiedId &SecondTypeName);
ExprResult ActOnPseudoDestructorExpr(Scope *S, Expr *Base,
SourceLocation OpLoc,
tok::TokenKind OpKind,
SourceLocation TildeLoc,
const DeclSpec& DS);
/// MaybeCreateExprWithCleanups - If the current full-expression
/// requires any cleanups, surround it with a ExprWithCleanups node.
/// Otherwise, just returns the passed-in expression.
Expr *MaybeCreateExprWithCleanups(Expr *SubExpr);
Stmt *MaybeCreateStmtWithCleanups(Stmt *SubStmt);
ExprResult MaybeCreateExprWithCleanups(ExprResult SubExpr);
MaterializeTemporaryExpr *
CreateMaterializeTemporaryExpr(QualType T, Expr *Temporary,
bool BoundToLvalueReference);
ExprResult ActOnFinishFullExpr(Expr *Expr, bool DiscardedValue) {
return ActOnFinishFullExpr(
Expr, Expr ? Expr->getExprLoc() : SourceLocation(), DiscardedValue);
}
ExprResult ActOnFinishFullExpr(Expr *Expr, SourceLocation CC,
bool DiscardedValue, bool IsConstexpr = false);
StmtResult ActOnFinishFullStmt(Stmt *Stmt);
// Marks SS invalid if it represents an incomplete type.
bool RequireCompleteDeclContext(CXXScopeSpec &SS, DeclContext *DC);
// Complete an enum decl, maybe without a scope spec.
bool RequireCompleteEnumDecl(EnumDecl *D, SourceLocation L,
CXXScopeSpec *SS = nullptr);
DeclContext *computeDeclContext(QualType T);
DeclContext *computeDeclContext(const CXXScopeSpec &SS,
bool EnteringContext = false);
bool isDependentScopeSpecifier(const CXXScopeSpec &SS);
CXXRecordDecl *getCurrentInstantiationOf(NestedNameSpecifier *NNS);
/// The parser has parsed a global nested-name-specifier '::'.
///
/// \param CCLoc The location of the '::'.
///
/// \param SS The nested-name-specifier, which will be updated in-place
/// to reflect the parsed nested-name-specifier.
///
/// \returns true if an error occurred, false otherwise.
bool ActOnCXXGlobalScopeSpecifier(SourceLocation CCLoc, CXXScopeSpec &SS);
/// The parser has parsed a '__super' nested-name-specifier.
///
/// \param SuperLoc The location of the '__super' keyword.
///
/// \param ColonColonLoc The location of the '::'.
///
/// \param SS The nested-name-specifier, which will be updated in-place
/// to reflect the parsed nested-name-specifier.
///
/// \returns true if an error occurred, false otherwise.
bool ActOnSuperScopeSpecifier(SourceLocation SuperLoc,
SourceLocation ColonColonLoc, CXXScopeSpec &SS);
bool isAcceptableNestedNameSpecifier(const NamedDecl *SD,
bool *CanCorrect = nullptr);
NamedDecl *FindFirstQualifierInScope(Scope *S, NestedNameSpecifier *NNS);
/// Keeps information about an identifier in a nested-name-spec.
///
struct NestedNameSpecInfo {
/// The type of the object, if we're parsing nested-name-specifier in
/// a member access expression.
ParsedType ObjectType;
/// The identifier preceding the '::'.
IdentifierInfo *Identifier;
/// The location of the identifier.
SourceLocation IdentifierLoc;
/// The location of the '::'.
SourceLocation CCLoc;
/// Creates info object for the most typical case.
NestedNameSpecInfo(IdentifierInfo *II, SourceLocation IdLoc,
SourceLocation ColonColonLoc, ParsedType ObjectType = ParsedType())
: ObjectType(ObjectType), Identifier(II), IdentifierLoc(IdLoc),
CCLoc(ColonColonLoc) {
}
NestedNameSpecInfo(IdentifierInfo *II, SourceLocation IdLoc,
SourceLocation ColonColonLoc, QualType ObjectType)
: ObjectType(ParsedType::make(ObjectType)), Identifier(II),
IdentifierLoc(IdLoc), CCLoc(ColonColonLoc) {
}
};
bool isNonTypeNestedNameSpecifier(Scope *S, CXXScopeSpec &SS,
NestedNameSpecInfo &IdInfo);
bool BuildCXXNestedNameSpecifier(Scope *S,
NestedNameSpecInfo &IdInfo,
bool EnteringContext,
CXXScopeSpec &SS,
NamedDecl *ScopeLookupResult,
bool ErrorRecoveryLookup,
bool *IsCorrectedToColon = nullptr,
bool OnlyNamespace = false);
/// The parser has parsed a nested-name-specifier 'identifier::'.
///
/// \param S The scope in which this nested-name-specifier occurs.
///
/// \param IdInfo Parser information about an identifier in the
/// nested-name-spec.
///
/// \param EnteringContext Whether we're entering the context nominated by
/// this nested-name-specifier.
///
/// \param SS The nested-name-specifier, which is both an input
/// parameter (the nested-name-specifier before this type) and an
/// output parameter (containing the full nested-name-specifier,
/// including this new type).
///
/// \param ErrorRecoveryLookup If true, then this method is called to improve
/// error recovery. In this case do not emit error message.
///
/// \param IsCorrectedToColon If not null, suggestions to replace '::' -> ':'
/// are allowed. The bool value pointed by this parameter is set to 'true'
/// if the identifier is treated as if it was followed by ':', not '::'.
///
/// \param OnlyNamespace If true, only considers namespaces in lookup.
///
/// \returns true if an error occurred, false otherwise.
bool ActOnCXXNestedNameSpecifier(Scope *S,
NestedNameSpecInfo &IdInfo,
bool EnteringContext,
CXXScopeSpec &SS,
bool ErrorRecoveryLookup = false,
bool *IsCorrectedToColon = nullptr,
bool OnlyNamespace = false);
ExprResult ActOnDecltypeExpression(Expr *E);
bool ActOnCXXNestedNameSpecifierDecltype(CXXScopeSpec &SS,
const DeclSpec &DS,
SourceLocation ColonColonLoc);
bool IsInvalidUnlessNestedName(Scope *S, CXXScopeSpec &SS,
NestedNameSpecInfo &IdInfo,
bool EnteringContext);
/// The parser has parsed a nested-name-specifier
/// 'template[opt] template-name < template-args >::'.
///
/// \param S The scope in which this nested-name-specifier occurs.
///
/// \param SS The nested-name-specifier, which is both an input
/// parameter (the nested-name-specifier before this type) and an
/// output parameter (containing the full nested-name-specifier,
/// including this new type).
///
/// \param TemplateKWLoc the location of the 'template' keyword, if any.
/// \param TemplateName the template name.
/// \param TemplateNameLoc The location of the template name.
/// \param LAngleLoc The location of the opening angle bracket ('<').
/// \param TemplateArgs The template arguments.
/// \param RAngleLoc The location of the closing angle bracket ('>').
/// \param CCLoc The location of the '::'.
///
/// \param EnteringContext Whether we're entering the context of the
/// nested-name-specifier.
///
///
/// \returns true if an error occurred, false otherwise.
bool ActOnCXXNestedNameSpecifier(Scope *S,
CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
TemplateTy TemplateName,
SourceLocation TemplateNameLoc,
SourceLocation LAngleLoc,
ASTTemplateArgsPtr TemplateArgs,
SourceLocation RAngleLoc,
SourceLocation CCLoc,
bool EnteringContext);
/// Given a C++ nested-name-specifier, produce an annotation value
/// that the parser can use later to reconstruct the given
/// nested-name-specifier.
///
/// \param SS A nested-name-specifier.
///
/// \returns A pointer containing all of the information in the
/// nested-name-specifier \p SS.
void *SaveNestedNameSpecifierAnnotation(CXXScopeSpec &SS);
/// Given an annotation pointer for a nested-name-specifier, restore
/// the nested-name-specifier structure.
///
/// \param Annotation The annotation pointer, produced by
/// \c SaveNestedNameSpecifierAnnotation().
///
/// \param AnnotationRange The source range corresponding to the annotation.
///
/// \param SS The nested-name-specifier that will be updated with the contents
/// of the annotation pointer.
void RestoreNestedNameSpecifierAnnotation(void *Annotation,
SourceRange AnnotationRange,
CXXScopeSpec &SS);
bool ShouldEnterDeclaratorScope(Scope *S, const CXXScopeSpec &SS);
/// ActOnCXXEnterDeclaratorScope - Called when a C++ scope specifier (global
/// scope or nested-name-specifier) is parsed, part of a declarator-id.
/// After this method is called, according to [C++ 3.4.3p3], names should be
/// looked up in the declarator-id's scope, until the declarator is parsed and
/// ActOnCXXExitDeclaratorScope is called.
/// The 'SS' should be a non-empty valid CXXScopeSpec.
bool ActOnCXXEnterDeclaratorScope(Scope *S, CXXScopeSpec &SS);
/// ActOnCXXExitDeclaratorScope - Called when a declarator that previously
/// invoked ActOnCXXEnterDeclaratorScope(), is finished. 'SS' is the same
/// CXXScopeSpec that was passed to ActOnCXXEnterDeclaratorScope as well.
/// Used to indicate that names should revert to being looked up in the
/// defining scope.
void ActOnCXXExitDeclaratorScope(Scope *S, const CXXScopeSpec &SS);
/// ActOnCXXEnterDeclInitializer - Invoked when we are about to parse an
/// initializer for the declaration 'Dcl'.
/// After this method is called, according to [C++ 3.4.1p13], if 'Dcl' is a
/// static data member of class X, names should be looked up in the scope of
/// class X.
void ActOnCXXEnterDeclInitializer(Scope *S, Decl *Dcl);
/// ActOnCXXExitDeclInitializer - Invoked after we are finished parsing an
/// initializer for the declaration 'Dcl'.
void ActOnCXXExitDeclInitializer(Scope *S, Decl *Dcl);
/// Create a new lambda closure type.
CXXRecordDecl *createLambdaClosureType(SourceRange IntroducerRange,
TypeSourceInfo *Info,
bool KnownDependent,
LambdaCaptureDefault CaptureDefault);
/// Start the definition of a lambda expression.
CXXMethodDecl *startLambdaDefinition(CXXRecordDecl *Class,
SourceRange IntroducerRange,
TypeSourceInfo *MethodType,
SourceLocation EndLoc,
ArrayRef<ParmVarDecl *> Params,
ConstexprSpecKind ConstexprKind,
Expr *TrailingRequiresClause);
/// Number lambda for linkage purposes if necessary.
void handleLambdaNumbering(
CXXRecordDecl *Class, CXXMethodDecl *Method,
Optional<std::tuple<bool, unsigned, unsigned, Decl *>> Mangling = None);
/// Endow the lambda scope info with the relevant properties.
void buildLambdaScope(sema::LambdaScopeInfo *LSI,
CXXMethodDecl *CallOperator,
SourceRange IntroducerRange,
LambdaCaptureDefault CaptureDefault,
SourceLocation CaptureDefaultLoc,
bool ExplicitParams,
bool ExplicitResultType,
bool Mutable);
/// Perform initialization analysis of the init-capture and perform
/// any implicit conversions such as an lvalue-to-rvalue conversion if
/// not being used to initialize a reference.
ParsedType actOnLambdaInitCaptureInitialization(
SourceLocation Loc, bool ByRef, SourceLocation EllipsisLoc,
IdentifierInfo *Id, LambdaCaptureInitKind InitKind, Expr *&Init) {
return ParsedType::make(buildLambdaInitCaptureInitialization(
Loc, ByRef, EllipsisLoc, None, Id,
InitKind != LambdaCaptureInitKind::CopyInit, Init));
}
QualType buildLambdaInitCaptureInitialization(
SourceLocation Loc, bool ByRef, SourceLocation EllipsisLoc,
Optional<unsigned> NumExpansions, IdentifierInfo *Id, bool DirectInit,
Expr *&Init);
/// Create a dummy variable within the declcontext of the lambda's
/// call operator, for name lookup purposes for a lambda init capture.
///
/// CodeGen handles emission of lambda captures, ignoring these dummy
/// variables appropriately.
VarDecl *createLambdaInitCaptureVarDecl(SourceLocation Loc,
QualType InitCaptureType,
SourceLocation EllipsisLoc,
IdentifierInfo *Id,
unsigned InitStyle, Expr *Init);
/// Add an init-capture to a lambda scope.
void addInitCapture(sema::LambdaScopeInfo *LSI, VarDecl *Var);
/// Note that we have finished the explicit captures for the
/// given lambda.
void finishLambdaExplicitCaptures(sema::LambdaScopeInfo *LSI);
/// \brief This is called after parsing the explicit template parameter list
/// on a lambda (if it exists) in C++2a.
void ActOnLambdaExplicitTemplateParameterList(SourceLocation LAngleLoc,
ArrayRef<NamedDecl *> TParams,
SourceLocation RAngleLoc,
ExprResult RequiresClause);
/// Introduce the lambda parameters into scope.
void addLambdaParameters(
ArrayRef<LambdaIntroducer::LambdaCapture> Captures,
CXXMethodDecl *CallOperator, Scope *CurScope);
/// Deduce a block or lambda's return type based on the return
/// statements present in the body.
void deduceClosureReturnType(sema::CapturingScopeInfo &CSI);
/// ActOnStartOfLambdaDefinition - This is called just before we start
/// parsing the body of a lambda; it analyzes the explicit captures and
/// arguments, and sets up various data-structures for the body of the
/// lambda.
void ActOnStartOfLambdaDefinition(LambdaIntroducer &Intro,
Declarator &ParamInfo, Scope *CurScope);
/// ActOnLambdaError - If there is an error parsing a lambda, this callback
/// is invoked to pop the information about the lambda.
void ActOnLambdaError(SourceLocation StartLoc, Scope *CurScope,
bool IsInstantiation = false);
/// ActOnLambdaExpr - This is called when the body of a lambda expression
/// was successfully completed.
ExprResult ActOnLambdaExpr(SourceLocation StartLoc, Stmt *Body,
Scope *CurScope);
/// Does copying/destroying the captured variable have side effects?
bool CaptureHasSideEffects(const sema::Capture &From);
/// Diagnose if an explicit lambda capture is unused. Returns true if a
/// diagnostic is emitted.
bool DiagnoseUnusedLambdaCapture(SourceRange CaptureRange,
const sema::Capture &From);
/// Build a FieldDecl suitable to hold the given capture.
FieldDecl *BuildCaptureField(RecordDecl *RD, const sema::Capture &Capture);
/// Initialize the given capture with a suitable expression.
ExprResult BuildCaptureInit(const sema::Capture &Capture,
SourceLocation ImplicitCaptureLoc,
bool IsOpenMPMapping = false);
/// Complete a lambda-expression having processed and attached the
/// lambda body.
ExprResult BuildLambdaExpr(SourceLocation StartLoc, SourceLocation EndLoc,
sema::LambdaScopeInfo *LSI);
/// Get the return type to use for a lambda's conversion function(s) to
/// function pointer type, given the type of the call operator.
QualType
getLambdaConversionFunctionResultType(const FunctionProtoType *CallOpType,
CallingConv CC);
/// Define the "body" of the conversion from a lambda object to a
/// function pointer.
///
/// This routine doesn't actually define a sensible body; rather, it fills
/// in the initialization expression needed to copy the lambda object into
/// the block, and IR generation actually generates the real body of the
/// block pointer conversion.
void DefineImplicitLambdaToFunctionPointerConversion(
SourceLocation CurrentLoc, CXXConversionDecl *Conv);
/// Define the "body" of the conversion from a lambda object to a
/// block pointer.
///
/// This routine doesn't actually define a sensible body; rather, it fills
/// in the initialization expression needed to copy the lambda object into
/// the block, and IR generation actually generates the real body of the
/// block pointer conversion.
void DefineImplicitLambdaToBlockPointerConversion(SourceLocation CurrentLoc,
CXXConversionDecl *Conv);
ExprResult BuildBlockForLambdaConversion(SourceLocation CurrentLocation,
SourceLocation ConvLocation,
CXXConversionDecl *Conv,
Expr *Src);
/// Check whether the given expression is a valid constraint expression.
/// A diagnostic is emitted if it is not, false is returned, and
/// PossibleNonPrimary will be set to true if the failure might be due to a
/// non-primary expression being used as an atomic constraint.
bool CheckConstraintExpression(const Expr *CE, Token NextToken = Token(),
bool *PossibleNonPrimary = nullptr,
bool IsTrailingRequiresClause = false);
private:
/// Caches pairs of template-like decls whose associated constraints were
/// checked for subsumption and whether or not the first's constraints did in
/// fact subsume the second's.
llvm::DenseMap<std::pair<NamedDecl *, NamedDecl *>, bool> SubsumptionCache;
/// Caches the normalized associated constraints of declarations (concepts or
/// constrained declarations). If an error occurred while normalizing the
/// associated constraints of the template or concept, nullptr will be cached
/// here.
llvm::DenseMap<NamedDecl *, NormalizedConstraint *>
NormalizationCache;
llvm::ContextualFoldingSet<ConstraintSatisfaction, const ASTContext &>
SatisfactionCache;
public:
const NormalizedConstraint *
getNormalizedAssociatedConstraints(
NamedDecl *ConstrainedDecl, ArrayRef<const Expr *> AssociatedConstraints);
/// \brief Check whether the given declaration's associated constraints are
/// at least as constrained than another declaration's according to the
/// partial ordering of constraints.
///
/// \param Result If no error occurred, receives the result of true if D1 is
/// at least constrained than D2, and false otherwise.
///
/// \returns true if an error occurred, false otherwise.
bool IsAtLeastAsConstrained(NamedDecl *D1, ArrayRef<const Expr *> AC1,
NamedDecl *D2, ArrayRef<const Expr *> AC2,
bool &Result);
/// If D1 was not at least as constrained as D2, but would've been if a pair
/// of atomic constraints involved had been declared in a concept and not
/// repeated in two separate places in code.
/// \returns true if such a diagnostic was emitted, false otherwise.
bool MaybeEmitAmbiguousAtomicConstraintsDiagnostic(NamedDecl *D1,
ArrayRef<const Expr *> AC1, NamedDecl *D2, ArrayRef<const Expr *> AC2);
/// \brief Check whether the given list of constraint expressions are
/// satisfied (as if in a 'conjunction') given template arguments.
/// \param Template the template-like entity that triggered the constraints
/// check (either a concept or a constrained entity).
/// \param ConstraintExprs a list of constraint expressions, treated as if
/// they were 'AND'ed together.
/// \param TemplateArgs the list of template arguments to substitute into the
/// constraint expression.
/// \param TemplateIDRange The source range of the template id that
/// caused the constraints check.
/// \param Satisfaction if true is returned, will contain details of the
/// satisfaction, with enough information to diagnose an unsatisfied
/// expression.
/// \returns true if an error occurred and satisfaction could not be checked,
/// false otherwise.
bool CheckConstraintSatisfaction(
const NamedDecl *Template, ArrayRef<const Expr *> ConstraintExprs,
ArrayRef<TemplateArgument> TemplateArgs,
SourceRange TemplateIDRange, ConstraintSatisfaction &Satisfaction);
/// \brief Check whether the given non-dependent constraint expression is
/// satisfied. Returns false and updates Satisfaction with the satisfaction
/// verdict if successful, emits a diagnostic and returns true if an error
/// occured and satisfaction could not be determined.
///
/// \returns true if an error occurred, false otherwise.
bool CheckConstraintSatisfaction(const Expr *ConstraintExpr,
ConstraintSatisfaction &Satisfaction);
/// Check whether the given function decl's trailing requires clause is
/// satisfied, if any. Returns false and updates Satisfaction with the
/// satisfaction verdict if successful, emits a diagnostic and returns true if
/// an error occured and satisfaction could not be determined.
///
/// \returns true if an error occurred, false otherwise.
bool CheckFunctionConstraints(const FunctionDecl *FD,
ConstraintSatisfaction &Satisfaction,
SourceLocation UsageLoc = SourceLocation());
/// \brief Ensure that the given template arguments satisfy the constraints
/// associated with the given template, emitting a diagnostic if they do not.
///
/// \param Template The template to which the template arguments are being
/// provided.
///
/// \param TemplateArgs The converted, canonicalized template arguments.
///
/// \param TemplateIDRange The source range of the template id that
/// caused the constraints check.
///
/// \returns true if the constrains are not satisfied or could not be checked
/// for satisfaction, false if the constraints are satisfied.
bool EnsureTemplateArgumentListConstraints(TemplateDecl *Template,
ArrayRef<TemplateArgument> TemplateArgs,
SourceRange TemplateIDRange);
/// \brief Emit diagnostics explaining why a constraint expression was deemed
/// unsatisfied.
/// \param First whether this is the first time an unsatisfied constraint is
/// diagnosed for this error.
void
DiagnoseUnsatisfiedConstraint(const ConstraintSatisfaction &Satisfaction,
bool First = true);
/// \brief Emit diagnostics explaining why a constraint expression was deemed
/// unsatisfied.
void
DiagnoseUnsatisfiedConstraint(const ASTConstraintSatisfaction &Satisfaction,
bool First = true);
// ParseObjCStringLiteral - Parse Objective-C string literals.
ExprResult ParseObjCStringLiteral(SourceLocation *AtLocs,
ArrayRef<Expr *> Strings);
ExprResult BuildObjCStringLiteral(SourceLocation AtLoc, StringLiteral *S);
/// BuildObjCNumericLiteral - builds an ObjCBoxedExpr AST node for the
/// numeric literal expression. Type of the expression will be "NSNumber *"
/// or "id" if NSNumber is unavailable.
ExprResult BuildObjCNumericLiteral(SourceLocation AtLoc, Expr *Number);
ExprResult ActOnObjCBoolLiteral(SourceLocation AtLoc, SourceLocation ValueLoc,
bool Value);
ExprResult BuildObjCArrayLiteral(SourceRange SR, MultiExprArg Elements);
/// BuildObjCBoxedExpr - builds an ObjCBoxedExpr AST node for the
/// '@' prefixed parenthesized expression. The type of the expression will
/// either be "NSNumber *", "NSString *" or "NSValue *" depending on the type
/// of ValueType, which is allowed to be a built-in numeric type, "char *",
/// "const char *" or C structure with attribute 'objc_boxable'.
ExprResult BuildObjCBoxedExpr(SourceRange SR, Expr *ValueExpr);
ExprResult BuildObjCSubscriptExpression(SourceLocation RB, Expr *BaseExpr,
Expr *IndexExpr,
ObjCMethodDecl *getterMethod,
ObjCMethodDecl *setterMethod);
ExprResult BuildObjCDictionaryLiteral(SourceRange SR,
MutableArrayRef<ObjCDictionaryElement> Elements);
ExprResult BuildObjCEncodeExpression(SourceLocation AtLoc,
TypeSourceInfo *EncodedTypeInfo,
SourceLocation RParenLoc);
ExprResult BuildCXXMemberCallExpr(Expr *Exp, NamedDecl *FoundDecl,
CXXConversionDecl *Method,
bool HadMultipleCandidates);
ExprResult ParseObjCEncodeExpression(SourceLocation AtLoc,
SourceLocation EncodeLoc,
SourceLocation LParenLoc,
ParsedType Ty,
SourceLocation RParenLoc);
/// ParseObjCSelectorExpression - Build selector expression for \@selector
ExprResult ParseObjCSelectorExpression(Selector Sel,
SourceLocation AtLoc,
SourceLocation SelLoc,
SourceLocation LParenLoc,
SourceLocation RParenLoc,
bool WarnMultipleSelectors);
/// ParseObjCProtocolExpression - Build protocol expression for \@protocol
ExprResult ParseObjCProtocolExpression(IdentifierInfo * ProtocolName,
SourceLocation AtLoc,
SourceLocation ProtoLoc,
SourceLocation LParenLoc,
SourceLocation ProtoIdLoc,
SourceLocation RParenLoc);
//===--------------------------------------------------------------------===//
// C++ Declarations
//
Decl *ActOnStartLinkageSpecification(Scope *S,
SourceLocation ExternLoc,
Expr *LangStr,
SourceLocation LBraceLoc);
Decl *ActOnFinishLinkageSpecification(Scope *S,
Decl *LinkageSpec,
SourceLocation RBraceLoc);
//===--------------------------------------------------------------------===//
// C++ Classes
//
CXXRecordDecl *getCurrentClass(Scope *S, const CXXScopeSpec *SS);
bool isCurrentClassName(const IdentifierInfo &II, Scope *S,
const CXXScopeSpec *SS = nullptr);
bool isCurrentClassNameTypo(IdentifierInfo *&II, const CXXScopeSpec *SS);
bool ActOnAccessSpecifier(AccessSpecifier Access, SourceLocation ASLoc,
SourceLocation ColonLoc,
const ParsedAttributesView &Attrs);
NamedDecl *ActOnCXXMemberDeclarator(Scope *S, AccessSpecifier AS,
Declarator &D,
MultiTemplateParamsArg TemplateParameterLists,
Expr *BitfieldWidth, const VirtSpecifiers &VS,
InClassInitStyle InitStyle);
void ActOnStartCXXInClassMemberInitializer();
void ActOnFinishCXXInClassMemberInitializer(Decl *VarDecl,
SourceLocation EqualLoc,
Expr *Init);
MemInitResult ActOnMemInitializer(Decl *ConstructorD,
Scope *S,
CXXScopeSpec &SS,
IdentifierInfo *MemberOrBase,
ParsedType TemplateTypeTy,
const DeclSpec &DS,
SourceLocation IdLoc,
SourceLocation LParenLoc,
ArrayRef<Expr *> Args,
SourceLocation RParenLoc,
SourceLocation EllipsisLoc);
MemInitResult ActOnMemInitializer(Decl *ConstructorD,
Scope *S,
CXXScopeSpec &SS,
IdentifierInfo *MemberOrBase,
ParsedType TemplateTypeTy,
const DeclSpec &DS,
SourceLocation IdLoc,
Expr *InitList,
SourceLocation EllipsisLoc);
MemInitResult BuildMemInitializer(Decl *ConstructorD,
Scope *S,
CXXScopeSpec &SS,
IdentifierInfo *MemberOrBase,
ParsedType TemplateTypeTy,
const DeclSpec &DS,
SourceLocation IdLoc,
Expr *Init,
SourceLocation EllipsisLoc);
MemInitResult BuildMemberInitializer(ValueDecl *Member,
Expr *Init,
SourceLocation IdLoc);
MemInitResult BuildBaseInitializer(QualType BaseType,
TypeSourceInfo *BaseTInfo,
Expr *Init,
CXXRecordDecl *ClassDecl,
SourceLocation EllipsisLoc);
MemInitResult BuildDelegatingInitializer(TypeSourceInfo *TInfo,
Expr *Init,
CXXRecordDecl *ClassDecl);
bool SetDelegatingInitializer(CXXConstructorDecl *Constructor,
CXXCtorInitializer *Initializer);
bool SetCtorInitializers(CXXConstructorDecl *Constructor, bool AnyErrors,
ArrayRef<CXXCtorInitializer *> Initializers = None);
void SetIvarInitializers(ObjCImplementationDecl *ObjCImplementation);
/// MarkBaseAndMemberDestructorsReferenced - Given a record decl,
/// mark all the non-trivial destructors of its members and bases as
/// referenced.
void MarkBaseAndMemberDestructorsReferenced(SourceLocation Loc,
CXXRecordDecl *Record);
/// Mark destructors of virtual bases of this class referenced. In the Itanium
/// C++ ABI, this is done when emitting a destructor for any non-abstract
/// class. In the Microsoft C++ ABI, this is done any time a class's
/// destructor is referenced.
void MarkVirtualBaseDestructorsReferenced(
SourceLocation Location, CXXRecordDecl *ClassDecl,
llvm::SmallPtrSetImpl<const RecordType *> *DirectVirtualBases = nullptr);
/// Do semantic checks to allow the complete destructor variant to be emitted
/// when the destructor is defined in another translation unit. In the Itanium
/// C++ ABI, destructor variants are emitted together. In the MS C++ ABI, they
/// can be emitted in separate TUs. To emit the complete variant, run a subset
/// of the checks performed when emitting a regular destructor.
void CheckCompleteDestructorVariant(SourceLocation CurrentLocation,
CXXDestructorDecl *Dtor);
/// The list of classes whose vtables have been used within
/// this translation unit, and the source locations at which the
/// first use occurred.
typedef std::pair<CXXRecordDecl*, SourceLocation> VTableUse;
/// The list of vtables that are required but have not yet been
/// materialized.
SmallVector<VTableUse, 16> VTableUses;
/// The set of classes whose vtables have been used within
/// this translation unit, and a bit that will be true if the vtable is
/// required to be emitted (otherwise, it should be emitted only if needed
/// by code generation).
llvm::DenseMap<CXXRecordDecl *, bool> VTablesUsed;
/// Load any externally-stored vtable uses.
void LoadExternalVTableUses();
/// Note that the vtable for the given class was used at the
/// given location.
void MarkVTableUsed(SourceLocation Loc, CXXRecordDecl *Class,
bool DefinitionRequired = false);
/// Mark the exception specifications of all virtual member functions
/// in the given class as needed.
void MarkVirtualMemberExceptionSpecsNeeded(SourceLocation Loc,
const CXXRecordDecl *RD);
/// MarkVirtualMembersReferenced - Will mark all members of the given
/// CXXRecordDecl referenced.
void MarkVirtualMembersReferenced(SourceLocation Loc, const CXXRecordDecl *RD,
bool ConstexprOnly = false);
/// Define all of the vtables that have been used in this
/// translation unit and reference any virtual members used by those
/// vtables.
///
/// \returns true if any work was done, false otherwise.
bool DefineUsedVTables();
void AddImplicitlyDeclaredMembersToClass(CXXRecordDecl *ClassDecl);
void ActOnMemInitializers(Decl *ConstructorDecl,
SourceLocation ColonLoc,
ArrayRef<CXXCtorInitializer*> MemInits,
bool AnyErrors);
/// Check class-level dllimport/dllexport attribute. The caller must
/// ensure that referenceDLLExportedClassMethods is called some point later
/// when all outer classes of Class are complete.
void checkClassLevelDLLAttribute(CXXRecordDecl *Class);
void checkClassLevelCodeSegAttribute(CXXRecordDecl *Class);
void referenceDLLExportedClassMethods();
void propagateDLLAttrToBaseClassTemplate(
CXXRecordDecl *Class, Attr *ClassAttr,
ClassTemplateSpecializationDecl *BaseTemplateSpec,
SourceLocation BaseLoc);
/// Add gsl::Pointer attribute to std::container::iterator
/// \param ND The declaration that introduces the name
/// std::container::iterator. \param UnderlyingRecord The record named by ND.
void inferGslPointerAttribute(NamedDecl *ND, CXXRecordDecl *UnderlyingRecord);
/// Add [[gsl::Owner]] and [[gsl::Pointer]] attributes for std:: types.
void inferGslOwnerPointerAttribute(CXXRecordDecl *Record);
/// Add [[gsl::Pointer]] attributes for std:: types.
void inferGslPointerAttribute(TypedefNameDecl *TD);
void CheckCompletedCXXClass(Scope *S, CXXRecordDecl *Record);
/// Check that the C++ class annoated with "trivial_abi" satisfies all the
/// conditions that are needed for the attribute to have an effect.
void checkIllFormedTrivialABIStruct(CXXRecordDecl &RD);
void ActOnFinishCXXMemberSpecification(Scope *S, SourceLocation RLoc,
Decl *TagDecl, SourceLocation LBrac,
SourceLocation RBrac,
const ParsedAttributesView &AttrList);
void ActOnFinishCXXMemberDecls();
void ActOnFinishCXXNonNestedClass();
void ActOnReenterCXXMethodParameter(Scope *S, ParmVarDecl *Param);
unsigned ActOnReenterTemplateScope(Decl *Template,
llvm::function_ref<Scope *()> EnterScope);
void ActOnStartDelayedMemberDeclarations(Scope *S, Decl *Record);
void ActOnStartDelayedCXXMethodDeclaration(Scope *S, Decl *Method);
void ActOnDelayedCXXMethodParameter(Scope *S, Decl *Param);
void ActOnFinishDelayedMemberDeclarations(Scope *S, Decl *Record);
void ActOnFinishDelayedCXXMethodDeclaration(Scope *S, Decl *Method);
void ActOnFinishDelayedMemberInitializers(Decl *Record);
void MarkAsLateParsedTemplate(FunctionDecl *FD, Decl *FnD,
CachedTokens &Toks);
void UnmarkAsLateParsedTemplate(FunctionDecl *FD);
bool IsInsideALocalClassWithinATemplateFunction();
Decl *ActOnStaticAssertDeclaration(SourceLocation StaticAssertLoc,
Expr *AssertExpr,
Expr *AssertMessageExpr,
SourceLocation RParenLoc);
Decl *BuildStaticAssertDeclaration(SourceLocation StaticAssertLoc,
Expr *AssertExpr,
StringLiteral *AssertMessageExpr,
SourceLocation RParenLoc,
bool Failed);
FriendDecl *CheckFriendTypeDecl(SourceLocation LocStart,
SourceLocation FriendLoc,
TypeSourceInfo *TSInfo);
Decl *ActOnFriendTypeDecl(Scope *S, const DeclSpec &DS,
MultiTemplateParamsArg TemplateParams);
NamedDecl *ActOnFriendFunctionDecl(Scope *S, Declarator &D,
MultiTemplateParamsArg TemplateParams);
QualType CheckConstructorDeclarator(Declarator &D, QualType R,
StorageClass& SC);
void CheckConstructor(CXXConstructorDecl *Constructor);
QualType CheckDestructorDeclarator(Declarator &D, QualType R,
StorageClass& SC);
bool CheckDestructor(CXXDestructorDecl *Destructor);
void CheckConversionDeclarator(Declarator &D, QualType &R,
StorageClass& SC);
Decl *ActOnConversionDeclarator(CXXConversionDecl *Conversion);
void CheckDeductionGuideDeclarator(Declarator &D, QualType &R,
StorageClass &SC);
void CheckDeductionGuideTemplate(FunctionTemplateDecl *TD);
void CheckExplicitlyDefaultedFunction(Scope *S, FunctionDecl *MD);
bool CheckExplicitlyDefaultedSpecialMember(CXXMethodDecl *MD,
CXXSpecialMember CSM);
void CheckDelayedMemberExceptionSpecs();
bool CheckExplicitlyDefaultedComparison(Scope *S, FunctionDecl *MD,
DefaultedComparisonKind DCK);
void DeclareImplicitEqualityComparison(CXXRecordDecl *RD,
FunctionDecl *Spaceship);
void DefineDefaultedComparison(SourceLocation Loc, FunctionDecl *FD,
DefaultedComparisonKind DCK);
//===--------------------------------------------------------------------===//
// C++ Derived Classes
//
/// ActOnBaseSpecifier - Parsed a base specifier
CXXBaseSpecifier *CheckBaseSpecifier(CXXRecordDecl *Class,
SourceRange SpecifierRange,
bool Virtual, AccessSpecifier Access,
TypeSourceInfo *TInfo,
SourceLocation EllipsisLoc);
BaseResult ActOnBaseSpecifier(Decl *classdecl,
SourceRange SpecifierRange,
ParsedAttributes &Attrs,
bool Virtual, AccessSpecifier Access,
ParsedType basetype,
SourceLocation BaseLoc,
SourceLocation EllipsisLoc);
bool AttachBaseSpecifiers(CXXRecordDecl *Class,
MutableArrayRef<CXXBaseSpecifier *> Bases);
void ActOnBaseSpecifiers(Decl *ClassDecl,
MutableArrayRef<CXXBaseSpecifier *> Bases);
bool IsDerivedFrom(SourceLocation Loc, QualType Derived, QualType Base);
bool IsDerivedFrom(SourceLocation Loc, QualType Derived, QualType Base,
CXXBasePaths &Paths);
// FIXME: I don't like this name.
void BuildBasePathArray(const CXXBasePaths &Paths, CXXCastPath &BasePath);
bool CheckDerivedToBaseConversion(QualType Derived, QualType Base,
SourceLocation Loc, SourceRange Range,
CXXCastPath *BasePath = nullptr,
bool IgnoreAccess = false);
bool CheckDerivedToBaseConversion(QualType Derived, QualType Base,
unsigned InaccessibleBaseID,
unsigned AmbiguousBaseConvID,
SourceLocation Loc, SourceRange Range,
DeclarationName Name,
CXXCastPath *BasePath,
bool IgnoreAccess = false);
std::string getAmbiguousPathsDisplayString(CXXBasePaths &Paths);
bool CheckOverridingFunctionAttributes(const CXXMethodDecl *New,
const CXXMethodDecl *Old);
/// CheckOverridingFunctionReturnType - Checks whether the return types are
/// covariant, according to C++ [class.virtual]p5.
bool CheckOverridingFunctionReturnType(const CXXMethodDecl *New,
const CXXMethodDecl *Old);
/// CheckOverridingFunctionExceptionSpec - Checks whether the exception
/// spec is a subset of base spec.
bool CheckOverridingFunctionExceptionSpec(const CXXMethodDecl *New,
const CXXMethodDecl *Old);
bool CheckPureMethod(CXXMethodDecl *Method, SourceRange InitRange);
/// CheckOverrideControl - Check C++11 override control semantics.
void CheckOverrideControl(NamedDecl *D);
/// DiagnoseAbsenceOfOverrideControl - Diagnose if 'override' keyword was
/// not used in the declaration of an overriding method.
void DiagnoseAbsenceOfOverrideControl(NamedDecl *D, bool Inconsistent);
/// CheckForFunctionMarkedFinal - Checks whether a virtual member function
/// overrides a virtual member function marked 'final', according to
/// C++11 [class.virtual]p4.
bool CheckIfOverriddenFunctionIsMarkedFinal(const CXXMethodDecl *New,
const CXXMethodDecl *Old);
//===--------------------------------------------------------------------===//
// C++ Access Control
//
enum AccessResult {
AR_accessible,
AR_inaccessible,
AR_dependent,
AR_delayed
};
bool SetMemberAccessSpecifier(NamedDecl *MemberDecl,
NamedDecl *PrevMemberDecl,
AccessSpecifier LexicalAS);
AccessResult CheckUnresolvedMemberAccess(UnresolvedMemberExpr *E,
DeclAccessPair FoundDecl);
AccessResult CheckUnresolvedLookupAccess(UnresolvedLookupExpr *E,
DeclAccessPair FoundDecl);
AccessResult CheckAllocationAccess(SourceLocation OperatorLoc,
SourceRange PlacementRange,
CXXRecordDecl *NamingClass,
DeclAccessPair FoundDecl,
bool Diagnose = true);
AccessResult CheckConstructorAccess(SourceLocation Loc,
CXXConstructorDecl *D,
DeclAccessPair FoundDecl,
const InitializedEntity &Entity,
bool IsCopyBindingRefToTemp = false);
AccessResult CheckConstructorAccess(SourceLocation Loc,
CXXConstructorDecl *D,
DeclAccessPair FoundDecl,
const InitializedEntity &Entity,
const PartialDiagnostic &PDiag);
AccessResult CheckDestructorAccess(SourceLocation Loc,
CXXDestructorDecl *Dtor,
const PartialDiagnostic &PDiag,
QualType objectType = QualType());
AccessResult CheckFriendAccess(NamedDecl *D);
AccessResult CheckMemberAccess(SourceLocation UseLoc,
CXXRecordDecl *NamingClass,
DeclAccessPair Found);
AccessResult
CheckStructuredBindingMemberAccess(SourceLocation UseLoc,
CXXRecordDecl *DecomposedClass,
DeclAccessPair Field);
AccessResult CheckMemberOperatorAccess(SourceLocation Loc,
Expr *ObjectExpr,
Expr *ArgExpr,
DeclAccessPair FoundDecl);
AccessResult CheckAddressOfMemberAccess(Expr *OvlExpr,
DeclAccessPair FoundDecl);
AccessResult CheckBaseClassAccess(SourceLocation AccessLoc,
QualType Base, QualType Derived,
const CXXBasePath &Path,
unsigned DiagID,
bool ForceCheck = false,
bool ForceUnprivileged = false);
void CheckLookupAccess(const LookupResult &R);
bool IsSimplyAccessible(NamedDecl *Decl, CXXRecordDecl *NamingClass,
QualType BaseType);
bool isMemberAccessibleForDeletion(CXXRecordDecl *NamingClass,
DeclAccessPair Found, QualType ObjectType,
SourceLocation Loc,
const PartialDiagnostic &Diag);
bool isMemberAccessibleForDeletion(CXXRecordDecl *NamingClass,
DeclAccessPair Found,
QualType ObjectType) {
return isMemberAccessibleForDeletion(NamingClass, Found, ObjectType,
SourceLocation(), PDiag());
}
void HandleDependentAccessCheck(const DependentDiagnostic &DD,
const MultiLevelTemplateArgumentList &TemplateArgs);
void PerformDependentDiagnostics(const DeclContext *Pattern,
const MultiLevelTemplateArgumentList &TemplateArgs);
void HandleDelayedAccessCheck(sema::DelayedDiagnostic &DD, Decl *Ctx);
/// When true, access checking violations are treated as SFINAE
/// failures rather than hard errors.
bool AccessCheckingSFINAE;
enum AbstractDiagSelID {
AbstractNone = -1,
AbstractReturnType,
AbstractParamType,
AbstractVariableType,
AbstractFieldType,
AbstractIvarType,
AbstractSynthesizedIvarType,
AbstractArrayType
};
bool isAbstractType(SourceLocation Loc, QualType T);
bool RequireNonAbstractType(SourceLocation Loc, QualType T,
TypeDiagnoser &Diagnoser);
template <typename... Ts>
bool RequireNonAbstractType(SourceLocation Loc, QualType T, unsigned DiagID,
const Ts &...Args) {
BoundTypeDiagnoser<Ts...> Diagnoser(DiagID, Args...);
return RequireNonAbstractType(Loc, T, Diagnoser);
}
void DiagnoseAbstractType(const CXXRecordDecl *RD);
//===--------------------------------------------------------------------===//
// C++ Overloaded Operators [C++ 13.5]
//
bool CheckOverloadedOperatorDeclaration(FunctionDecl *FnDecl);
bool CheckLiteralOperatorDeclaration(FunctionDecl *FnDecl);
//===--------------------------------------------------------------------===//
// C++ Templates [C++ 14]
//
void FilterAcceptableTemplateNames(LookupResult &R,
bool AllowFunctionTemplates = true,
bool AllowDependent = true);
bool hasAnyAcceptableTemplateNames(LookupResult &R,
bool AllowFunctionTemplates = true,
bool AllowDependent = true,
bool AllowNonTemplateFunctions = false);
/// Try to interpret the lookup result D as a template-name.
///
/// \param D A declaration found by name lookup.
/// \param AllowFunctionTemplates Whether function templates should be
/// considered valid results.
/// \param AllowDependent Whether unresolved using declarations (that might
/// name templates) should be considered valid results.
static NamedDecl *getAsTemplateNameDecl(NamedDecl *D,
bool AllowFunctionTemplates = true,
bool AllowDependent = true);
enum TemplateNameIsRequiredTag { TemplateNameIsRequired };
/// Whether and why a template name is required in this lookup.
class RequiredTemplateKind {
public:
/// Template name is required if TemplateKWLoc is valid.
RequiredTemplateKind(SourceLocation TemplateKWLoc = SourceLocation())
: TemplateKW(TemplateKWLoc) {}
/// Template name is unconditionally required.
RequiredTemplateKind(TemplateNameIsRequiredTag) : TemplateKW() {}
SourceLocation getTemplateKeywordLoc() const {
return TemplateKW.getValueOr(SourceLocation());
}
bool hasTemplateKeyword() const { return getTemplateKeywordLoc().isValid(); }
bool isRequired() const { return TemplateKW != SourceLocation(); }
explicit operator bool() const { return isRequired(); }
private:
llvm::Optional<SourceLocation> TemplateKW;
};
enum class AssumedTemplateKind {
/// This is not assumed to be a template name.
None,
/// This is assumed to be a template name because lookup found nothing.
FoundNothing,
/// This is assumed to be a template name because lookup found one or more
/// functions (but no function templates).
FoundFunctions,
};
bool LookupTemplateName(
LookupResult &R, Scope *S, CXXScopeSpec &SS, QualType ObjectType,
bool EnteringContext, bool &MemberOfUnknownSpecialization,
RequiredTemplateKind RequiredTemplate = SourceLocation(),
AssumedTemplateKind *ATK = nullptr, bool AllowTypoCorrection = true);
TemplateNameKind isTemplateName(Scope *S,
CXXScopeSpec &SS,
bool hasTemplateKeyword,
const UnqualifiedId &Name,
ParsedType ObjectType,
bool EnteringContext,
TemplateTy &Template,
bool &MemberOfUnknownSpecialization,
bool Disambiguation = false);
/// Try to resolve an undeclared template name as a type template.
///
/// Sets II to the identifier corresponding to the template name, and updates
/// Name to a corresponding (typo-corrected) type template name and TNK to
/// the corresponding kind, if possible.
void ActOnUndeclaredTypeTemplateName(Scope *S, TemplateTy &Name,
TemplateNameKind &TNK,
SourceLocation NameLoc,
IdentifierInfo *&II);
bool resolveAssumedTemplateNameAsType(Scope *S, TemplateName &Name,
SourceLocation NameLoc,
bool Diagnose = true);
/// Determine whether a particular identifier might be the name in a C++1z
/// deduction-guide declaration.
bool isDeductionGuideName(Scope *S, const IdentifierInfo &Name,
SourceLocation NameLoc,
ParsedTemplateTy *Template = nullptr);
bool DiagnoseUnknownTemplateName(const IdentifierInfo &II,
SourceLocation IILoc,
Scope *S,
const CXXScopeSpec *SS,
TemplateTy &SuggestedTemplate,
TemplateNameKind &SuggestedKind);
bool DiagnoseUninstantiableTemplate(SourceLocation PointOfInstantiation,
NamedDecl *Instantiation,
bool InstantiatedFromMember,
const NamedDecl *Pattern,
const NamedDecl *PatternDef,
TemplateSpecializationKind TSK,
bool Complain = true);
void DiagnoseTemplateParameterShadow(SourceLocation Loc, Decl *PrevDecl);
TemplateDecl *AdjustDeclIfTemplate(Decl *&Decl);
NamedDecl *ActOnTypeParameter(Scope *S, bool Typename,
SourceLocation EllipsisLoc,
SourceLocation KeyLoc,
IdentifierInfo *ParamName,
SourceLocation ParamNameLoc,
unsigned Depth, unsigned Position,
SourceLocation EqualLoc,
ParsedType DefaultArg, bool HasTypeConstraint);
bool ActOnTypeConstraint(const CXXScopeSpec &SS,
TemplateIdAnnotation *TypeConstraint,
TemplateTypeParmDecl *ConstrainedParameter,
SourceLocation EllipsisLoc);
bool BuildTypeConstraint(const CXXScopeSpec &SS,
TemplateIdAnnotation *TypeConstraint,
TemplateTypeParmDecl *ConstrainedParameter,
SourceLocation EllipsisLoc,
bool AllowUnexpandedPack);
bool AttachTypeConstraint(NestedNameSpecifierLoc NS,
DeclarationNameInfo NameInfo,
ConceptDecl *NamedConcept,
const TemplateArgumentListInfo *TemplateArgs,
TemplateTypeParmDecl *ConstrainedParameter,
SourceLocation EllipsisLoc);
bool AttachTypeConstraint(AutoTypeLoc TL,
NonTypeTemplateParmDecl *ConstrainedParameter,
SourceLocation EllipsisLoc);
bool RequireStructuralType(QualType T, SourceLocation Loc);
QualType CheckNonTypeTemplateParameterType(TypeSourceInfo *&TSI,
SourceLocation Loc);
QualType CheckNonTypeTemplateParameterType(QualType T, SourceLocation Loc);
NamedDecl *ActOnNonTypeTemplateParameter(Scope *S, Declarator &D,
unsigned Depth,
unsigned Position,
SourceLocation EqualLoc,
Expr *DefaultArg);
NamedDecl *ActOnTemplateTemplateParameter(Scope *S,
SourceLocation TmpLoc,
TemplateParameterList *Params,
SourceLocation EllipsisLoc,
IdentifierInfo *ParamName,
SourceLocation ParamNameLoc,
unsigned Depth,
unsigned Position,
SourceLocation EqualLoc,
ParsedTemplateArgument DefaultArg);
TemplateParameterList *
ActOnTemplateParameterList(unsigned Depth,
SourceLocation ExportLoc,
SourceLocation TemplateLoc,
SourceLocation LAngleLoc,
ArrayRef<NamedDecl *> Params,
SourceLocation RAngleLoc,
Expr *RequiresClause);
/// The context in which we are checking a template parameter list.
enum TemplateParamListContext {
TPC_ClassTemplate,
TPC_VarTemplate,
TPC_FunctionTemplate,
TPC_ClassTemplateMember,
TPC_FriendClassTemplate,
TPC_FriendFunctionTemplate,
TPC_FriendFunctionTemplateDefinition,
TPC_TypeAliasTemplate
};
bool CheckTemplateParameterList(TemplateParameterList *NewParams,
TemplateParameterList *OldParams,
TemplateParamListContext TPC,
SkipBodyInfo *SkipBody = nullptr);
TemplateParameterList *MatchTemplateParametersToScopeSpecifier(
SourceLocation DeclStartLoc, SourceLocation DeclLoc,
const CXXScopeSpec &SS, TemplateIdAnnotation *TemplateId,
ArrayRef<TemplateParameterList *> ParamLists,
bool IsFriend, bool &IsMemberSpecialization, bool &Invalid,
bool SuppressDiagnostic = false);
DeclResult CheckClassTemplate(
Scope *S, unsigned TagSpec, TagUseKind TUK, SourceLocation KWLoc,
CXXScopeSpec &SS, IdentifierInfo *Name, SourceLocation NameLoc,
const ParsedAttributesView &Attr, TemplateParameterList *TemplateParams,
AccessSpecifier AS, SourceLocation ModulePrivateLoc,
SourceLocation FriendLoc, unsigned NumOuterTemplateParamLists,
TemplateParameterList **OuterTemplateParamLists,
SkipBodyInfo *SkipBody = nullptr);
TemplateArgumentLoc getTrivialTemplateArgumentLoc(const TemplateArgument &Arg,
QualType NTTPType,
SourceLocation Loc);
/// Get a template argument mapping the given template parameter to itself,
/// e.g. for X in \c template<int X>, this would return an expression template
/// argument referencing X.
TemplateArgumentLoc getIdentityTemplateArgumentLoc(NamedDecl *Param,
SourceLocation Location);
void translateTemplateArguments(const ASTTemplateArgsPtr &In,
TemplateArgumentListInfo &Out);
ParsedTemplateArgument ActOnTemplateTypeArgument(TypeResult ParsedType);
void NoteAllFoundTemplates(TemplateName Name);
QualType CheckTemplateIdType(TemplateName Template,
SourceLocation TemplateLoc,
TemplateArgumentListInfo &TemplateArgs);
TypeResult
ActOnTemplateIdType(Scope *S, CXXScopeSpec &SS, SourceLocation TemplateKWLoc,
TemplateTy Template, IdentifierInfo *TemplateII,
SourceLocation TemplateIILoc, SourceLocation LAngleLoc,
ASTTemplateArgsPtr TemplateArgs, SourceLocation RAngleLoc,
bool IsCtorOrDtorName = false, bool IsClassName = false);
/// Parsed an elaborated-type-specifier that refers to a template-id,
/// such as \c class T::template apply<U>.
TypeResult ActOnTagTemplateIdType(TagUseKind TUK,
TypeSpecifierType TagSpec,
SourceLocation TagLoc,
CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
TemplateTy TemplateD,
SourceLocation TemplateLoc,
SourceLocation LAngleLoc,
ASTTemplateArgsPtr TemplateArgsIn,
SourceLocation RAngleLoc);
DeclResult ActOnVarTemplateSpecialization(
Scope *S, Declarator &D, TypeSourceInfo *DI,
SourceLocation TemplateKWLoc, TemplateParameterList *TemplateParams,
StorageClass SC, bool IsPartialSpecialization);
/// Get the specialization of the given variable template corresponding to
/// the specified argument list, or a null-but-valid result if the arguments
/// are dependent.
DeclResult CheckVarTemplateId(VarTemplateDecl *Template,
SourceLocation TemplateLoc,
SourceLocation TemplateNameLoc,
const TemplateArgumentListInfo &TemplateArgs);
/// Form a reference to the specialization of the given variable template
/// corresponding to the specified argument list, or a null-but-valid result
/// if the arguments are dependent.
ExprResult CheckVarTemplateId(const CXXScopeSpec &SS,
const DeclarationNameInfo &NameInfo,
VarTemplateDecl *Template,
SourceLocation TemplateLoc,
const TemplateArgumentListInfo *TemplateArgs);
ExprResult
CheckConceptTemplateId(const CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
const DeclarationNameInfo &ConceptNameInfo,
NamedDecl *FoundDecl, ConceptDecl *NamedConcept,
const TemplateArgumentListInfo *TemplateArgs);
void diagnoseMissingTemplateArguments(TemplateName Name, SourceLocation Loc);
ExprResult BuildTemplateIdExpr(const CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
LookupResult &R,
bool RequiresADL,
const TemplateArgumentListInfo *TemplateArgs);
ExprResult BuildQualifiedTemplateIdExpr(CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
const DeclarationNameInfo &NameInfo,
const TemplateArgumentListInfo *TemplateArgs);
TemplateNameKind ActOnTemplateName(
Scope *S, CXXScopeSpec &SS, SourceLocation TemplateKWLoc,
const UnqualifiedId &Name, ParsedType ObjectType, bool EnteringContext,
TemplateTy &Template, bool AllowInjectedClassName = false);
DeclResult ActOnClassTemplateSpecialization(
Scope *S, unsigned TagSpec, TagUseKind TUK, SourceLocation KWLoc,
SourceLocation ModulePrivateLoc, CXXScopeSpec &SS,
TemplateIdAnnotation &TemplateId, const ParsedAttributesView &Attr,
MultiTemplateParamsArg TemplateParameterLists,
SkipBodyInfo *SkipBody = nullptr);
bool CheckTemplatePartialSpecializationArgs(SourceLocation Loc,
TemplateDecl *PrimaryTemplate,
unsigned NumExplicitArgs,
ArrayRef<TemplateArgument> Args);
void CheckTemplatePartialSpecialization(
ClassTemplatePartialSpecializationDecl *Partial);
void CheckTemplatePartialSpecialization(
VarTemplatePartialSpecializationDecl *Partial);
Decl *ActOnTemplateDeclarator(Scope *S,
MultiTemplateParamsArg TemplateParameterLists,
Declarator &D);
bool
CheckSpecializationInstantiationRedecl(SourceLocation NewLoc,
TemplateSpecializationKind NewTSK,
NamedDecl *PrevDecl,
TemplateSpecializationKind PrevTSK,
SourceLocation PrevPtOfInstantiation,
bool &SuppressNew);
bool CheckDependentFunctionTemplateSpecialization(FunctionDecl *FD,
const TemplateArgumentListInfo &ExplicitTemplateArgs,
LookupResult &Previous);
bool CheckFunctionTemplateSpecialization(
FunctionDecl *FD, TemplateArgumentListInfo *ExplicitTemplateArgs,
LookupResult &Previous, bool QualifiedFriend = false);
bool CheckMemberSpecialization(NamedDecl *Member, LookupResult &Previous);
void CompleteMemberSpecialization(NamedDecl *Member, LookupResult &Previous);
DeclResult ActOnExplicitInstantiation(
Scope *S, SourceLocation ExternLoc, SourceLocation TemplateLoc,
unsigned TagSpec, SourceLocation KWLoc, const CXXScopeSpec &SS,
TemplateTy Template, SourceLocation TemplateNameLoc,
SourceLocation LAngleLoc, ASTTemplateArgsPtr TemplateArgs,
SourceLocation RAngleLoc, const ParsedAttributesView &Attr);
DeclResult ActOnExplicitInstantiation(Scope *S, SourceLocation ExternLoc,
SourceLocation TemplateLoc,
unsigned TagSpec, SourceLocation KWLoc,
CXXScopeSpec &SS, IdentifierInfo *Name,
SourceLocation NameLoc,
const ParsedAttributesView &Attr);
DeclResult ActOnExplicitInstantiation(Scope *S,
SourceLocation ExternLoc,
SourceLocation TemplateLoc,
Declarator &D);
TemplateArgumentLoc
SubstDefaultTemplateArgumentIfAvailable(TemplateDecl *Template,
SourceLocation TemplateLoc,
SourceLocation RAngleLoc,
Decl *Param,
SmallVectorImpl<TemplateArgument>
&Converted,
bool &HasDefaultArg);
/// Specifies the context in which a particular template
/// argument is being checked.
enum CheckTemplateArgumentKind {
/// The template argument was specified in the code or was
/// instantiated with some deduced template arguments.
CTAK_Specified,
/// The template argument was deduced via template argument
/// deduction.
CTAK_Deduced,
/// The template argument was deduced from an array bound
/// via template argument deduction.
CTAK_DeducedFromArrayBound
};
bool CheckTemplateArgument(NamedDecl *Param,
TemplateArgumentLoc &Arg,
NamedDecl *Template,
SourceLocation TemplateLoc,
SourceLocation RAngleLoc,
unsigned ArgumentPackIndex,
SmallVectorImpl<TemplateArgument> &Converted,
CheckTemplateArgumentKind CTAK = CTAK_Specified);
/// Check that the given template arguments can be be provided to
/// the given template, converting the arguments along the way.
///
/// \param Template The template to which the template arguments are being
/// provided.
///
/// \param TemplateLoc The location of the template name in the source.
///
/// \param TemplateArgs The list of template arguments. If the template is
/// a template template parameter, this function may extend the set of
/// template arguments to also include substituted, defaulted template
/// arguments.
///
/// \param PartialTemplateArgs True if the list of template arguments is
/// intentionally partial, e.g., because we're checking just the initial
/// set of template arguments.
///
/// \param Converted Will receive the converted, canonicalized template
/// arguments.
///
/// \param UpdateArgsWithConversions If \c true, update \p TemplateArgs to
/// contain the converted forms of the template arguments as written.
/// Otherwise, \p TemplateArgs will not be modified.
///
/// \param ConstraintsNotSatisfied If provided, and an error occured, will
/// receive true if the cause for the error is the associated constraints of
/// the template not being satisfied by the template arguments.
///
/// \returns true if an error occurred, false otherwise.
bool CheckTemplateArgumentList(TemplateDecl *Template,
SourceLocation TemplateLoc,
TemplateArgumentListInfo &TemplateArgs,
bool PartialTemplateArgs,
SmallVectorImpl<TemplateArgument> &Converted,
bool UpdateArgsWithConversions = true,
bool *ConstraintsNotSatisfied = nullptr);
bool CheckTemplateTypeArgument(TemplateTypeParmDecl *Param,
TemplateArgumentLoc &Arg,
SmallVectorImpl<TemplateArgument> &Converted);
bool CheckTemplateArgument(TypeSourceInfo *Arg);
ExprResult CheckTemplateArgument(NonTypeTemplateParmDecl *Param,
QualType InstantiatedParamType, Expr *Arg,
TemplateArgument &Converted,
CheckTemplateArgumentKind CTAK = CTAK_Specified);
bool CheckTemplateTemplateArgument(TemplateTemplateParmDecl *Param,
TemplateParameterList *Params,
TemplateArgumentLoc &Arg);
ExprResult
BuildExpressionFromDeclTemplateArgument(const TemplateArgument &Arg,
QualType ParamType,
SourceLocation Loc);
ExprResult
BuildExpressionFromIntegralTemplateArgument(const TemplateArgument &Arg,
SourceLocation Loc);
/// Enumeration describing how template parameter lists are compared
/// for equality.
enum TemplateParameterListEqualKind {
/// We are matching the template parameter lists of two templates
/// that might be redeclarations.
///
/// \code
/// template<typename T> struct X;
/// template<typename T> struct X;
/// \endcode
TPL_TemplateMatch,
/// We are matching the template parameter lists of two template
/// template parameters as part of matching the template parameter lists
/// of two templates that might be redeclarations.
///
/// \code
/// template<template<int I> class TT> struct X;
/// template<template<int Value> class Other> struct X;
/// \endcode
TPL_TemplateTemplateParmMatch,
/// We are matching the template parameter lists of a template
/// template argument against the template parameter lists of a template
/// template parameter.
///
/// \code
/// template<template<int Value> class Metafun> struct X;
/// template<int Value> struct integer_c;
/// X<integer_c> xic;
/// \endcode
TPL_TemplateTemplateArgumentMatch
};
bool TemplateParameterListsAreEqual(TemplateParameterList *New,
TemplateParameterList *Old,
bool Complain,
TemplateParameterListEqualKind Kind,
SourceLocation TemplateArgLoc
= SourceLocation());
bool CheckTemplateDeclScope(Scope *S, TemplateParameterList *TemplateParams);
/// Called when the parser has parsed a C++ typename
/// specifier, e.g., "typename T::type".
///
/// \param S The scope in which this typename type occurs.
/// \param TypenameLoc the location of the 'typename' keyword
/// \param SS the nested-name-specifier following the typename (e.g., 'T::').
/// \param II the identifier we're retrieving (e.g., 'type' in the example).
/// \param IdLoc the location of the identifier.
TypeResult
ActOnTypenameType(Scope *S, SourceLocation TypenameLoc,
const CXXScopeSpec &SS, const IdentifierInfo &II,
SourceLocation IdLoc);
/// Called when the parser has parsed a C++ typename
/// specifier that ends in a template-id, e.g.,
/// "typename MetaFun::template apply<T1, T2>".
///
/// \param S The scope in which this typename type occurs.
/// \param TypenameLoc the location of the 'typename' keyword
/// \param SS the nested-name-specifier following the typename (e.g., 'T::').
/// \param TemplateLoc the location of the 'template' keyword, if any.
/// \param TemplateName The template name.
/// \param TemplateII The identifier used to name the template.
/// \param TemplateIILoc The location of the template name.
/// \param LAngleLoc The location of the opening angle bracket ('<').
/// \param TemplateArgs The template arguments.
/// \param RAngleLoc The location of the closing angle bracket ('>').
TypeResult
ActOnTypenameType(Scope *S, SourceLocation TypenameLoc,
const CXXScopeSpec &SS,
SourceLocation TemplateLoc,
TemplateTy TemplateName,
IdentifierInfo *TemplateII,
SourceLocation TemplateIILoc,
SourceLocation LAngleLoc,
ASTTemplateArgsPtr TemplateArgs,
SourceLocation RAngleLoc);
QualType CheckTypenameType(ElaboratedTypeKeyword Keyword,
SourceLocation KeywordLoc,
NestedNameSpecifierLoc QualifierLoc,
const IdentifierInfo &II,
SourceLocation IILoc,
TypeSourceInfo **TSI,
bool DeducedTSTContext);
QualType CheckTypenameType(ElaboratedTypeKeyword Keyword,
SourceLocation KeywordLoc,
NestedNameSpecifierLoc QualifierLoc,
const IdentifierInfo &II,
SourceLocation IILoc,
bool DeducedTSTContext = true);
TypeSourceInfo *RebuildTypeInCurrentInstantiation(TypeSourceInfo *T,
SourceLocation Loc,
DeclarationName Name);
bool RebuildNestedNameSpecifierInCurrentInstantiation(CXXScopeSpec &SS);
ExprResult RebuildExprInCurrentInstantiation(Expr *E);
bool RebuildTemplateParamsInCurrentInstantiation(
TemplateParameterList *Params);
std::string
getTemplateArgumentBindingsText(const TemplateParameterList *Params,
const TemplateArgumentList &Args);
std::string
getTemplateArgumentBindingsText(const TemplateParameterList *Params,
const TemplateArgument *Args,
unsigned NumArgs);
//===--------------------------------------------------------------------===//
// C++ Concepts
//===--------------------------------------------------------------------===//
Decl *ActOnConceptDefinition(
Scope *S, MultiTemplateParamsArg TemplateParameterLists,
IdentifierInfo *Name, SourceLocation NameLoc, Expr *ConstraintExpr);
RequiresExprBodyDecl *
ActOnStartRequiresExpr(SourceLocation RequiresKWLoc,
ArrayRef<ParmVarDecl *> LocalParameters,
Scope *BodyScope);
void ActOnFinishRequiresExpr();
concepts::Requirement *ActOnSimpleRequirement(Expr *E);
concepts::Requirement *ActOnTypeRequirement(
SourceLocation TypenameKWLoc, CXXScopeSpec &SS, SourceLocation NameLoc,
IdentifierInfo *TypeName, TemplateIdAnnotation *TemplateId);
concepts::Requirement *ActOnCompoundRequirement(Expr *E,
SourceLocation NoexceptLoc);
concepts::Requirement *
ActOnCompoundRequirement(
Expr *E, SourceLocation NoexceptLoc, CXXScopeSpec &SS,
TemplateIdAnnotation *TypeConstraint, unsigned Depth);
concepts::Requirement *ActOnNestedRequirement(Expr *Constraint);
concepts::ExprRequirement *
BuildExprRequirement(
Expr *E, bool IsSatisfied, SourceLocation NoexceptLoc,
concepts::ExprRequirement::ReturnTypeRequirement ReturnTypeRequirement);
concepts::ExprRequirement *
BuildExprRequirement(
concepts::Requirement::SubstitutionDiagnostic *ExprSubstDiag,
bool IsSatisfied, SourceLocation NoexceptLoc,
concepts::ExprRequirement::ReturnTypeRequirement ReturnTypeRequirement);
concepts::TypeRequirement *BuildTypeRequirement(TypeSourceInfo *Type);
concepts::TypeRequirement *
BuildTypeRequirement(
concepts::Requirement::SubstitutionDiagnostic *SubstDiag);
concepts::NestedRequirement *BuildNestedRequirement(Expr *E);
concepts::NestedRequirement *
BuildNestedRequirement(
concepts::Requirement::SubstitutionDiagnostic *SubstDiag);
ExprResult ActOnRequiresExpr(SourceLocation RequiresKWLoc,
RequiresExprBodyDecl *Body,
ArrayRef<ParmVarDecl *> LocalParameters,
ArrayRef<concepts::Requirement *> Requirements,
SourceLocation ClosingBraceLoc);
//===--------------------------------------------------------------------===//
// C++ Variadic Templates (C++0x [temp.variadic])
//===--------------------------------------------------------------------===//
/// Determine whether an unexpanded parameter pack might be permitted in this
/// location. Useful for error recovery.
bool isUnexpandedParameterPackPermitted();
/// The context in which an unexpanded parameter pack is
/// being diagnosed.
///
/// Note that the values of this enumeration line up with the first
/// argument to the \c err_unexpanded_parameter_pack diagnostic.
enum UnexpandedParameterPackContext {
/// An arbitrary expression.
UPPC_Expression = 0,
/// The base type of a class type.
UPPC_BaseType,
/// The type of an arbitrary declaration.
UPPC_DeclarationType,
/// The type of a data member.
UPPC_DataMemberType,
/// The size of a bit-field.
UPPC_BitFieldWidth,
/// The expression in a static assertion.
UPPC_StaticAssertExpression,
/// The fixed underlying type of an enumeration.
UPPC_FixedUnderlyingType,
/// The enumerator value.
UPPC_EnumeratorValue,
/// A using declaration.
UPPC_UsingDeclaration,
/// A friend declaration.
UPPC_FriendDeclaration,
/// A declaration qualifier.
UPPC_DeclarationQualifier,
/// An initializer.
UPPC_Initializer,
/// A default argument.
UPPC_DefaultArgument,
/// The type of a non-type template parameter.
UPPC_NonTypeTemplateParameterType,
/// The type of an exception.
UPPC_ExceptionType,
/// Partial specialization.
UPPC_PartialSpecialization,
/// Microsoft __if_exists.
UPPC_IfExists,
/// Microsoft __if_not_exists.
UPPC_IfNotExists,
/// Lambda expression.
UPPC_Lambda,
/// Block expression.
UPPC_Block,
/// A type constraint.
UPPC_TypeConstraint,
// A requirement in a requires-expression.
UPPC_Requirement,
// A requires-clause.
UPPC_RequiresClause,
};
/// Diagnose unexpanded parameter packs.
///
/// \param Loc The location at which we should emit the diagnostic.
///
/// \param UPPC The context in which we are diagnosing unexpanded
/// parameter packs.
///
/// \param Unexpanded the set of unexpanded parameter packs.
///
/// \returns true if an error occurred, false otherwise.
bool DiagnoseUnexpandedParameterPacks(SourceLocation Loc,
UnexpandedParameterPackContext UPPC,
ArrayRef<UnexpandedParameterPack> Unexpanded);
/// If the given type contains an unexpanded parameter pack,
/// diagnose the error.
///
/// \param Loc The source location where a diagnostc should be emitted.
///
/// \param T The type that is being checked for unexpanded parameter
/// packs.
///
/// \returns true if an error occurred, false otherwise.
bool DiagnoseUnexpandedParameterPack(SourceLocation Loc, TypeSourceInfo *T,
UnexpandedParameterPackContext UPPC);
/// If the given expression contains an unexpanded parameter
/// pack, diagnose the error.
///
/// \param E The expression that is being checked for unexpanded
/// parameter packs.
///
/// \returns true if an error occurred, false otherwise.
bool DiagnoseUnexpandedParameterPack(Expr *E,
UnexpandedParameterPackContext UPPC = UPPC_Expression);
/// If the given requirees-expression contains an unexpanded reference to one
/// of its own parameter packs, diagnose the error.
///
/// \param RE The requiress-expression that is being checked for unexpanded
/// parameter packs.
///
/// \returns true if an error occurred, false otherwise.
bool DiagnoseUnexpandedParameterPackInRequiresExpr(RequiresExpr *RE);
/// If the given nested-name-specifier contains an unexpanded
/// parameter pack, diagnose the error.
///
/// \param SS The nested-name-specifier that is being checked for
/// unexpanded parameter packs.
///
/// \returns true if an error occurred, false otherwise.
bool DiagnoseUnexpandedParameterPack(const CXXScopeSpec &SS,
UnexpandedParameterPackContext UPPC);
/// If the given name contains an unexpanded parameter pack,
/// diagnose the error.
///
/// \param NameInfo The name (with source location information) that
/// is being checked for unexpanded parameter packs.
///
/// \returns true if an error occurred, false otherwise.
bool DiagnoseUnexpandedParameterPack(const DeclarationNameInfo &NameInfo,
UnexpandedParameterPackContext UPPC);
/// If the given template name contains an unexpanded parameter pack,
/// diagnose the error.
///
/// \param Loc The location of the template name.
///
/// \param Template The template name that is being checked for unexpanded
/// parameter packs.
///
/// \returns true if an error occurred, false otherwise.
bool DiagnoseUnexpandedParameterPack(SourceLocation Loc,
TemplateName Template,
UnexpandedParameterPackContext UPPC);
/// If the given template argument contains an unexpanded parameter
/// pack, diagnose the error.
///
/// \param Arg The template argument that is being checked for unexpanded
/// parameter packs.
///
/// \returns true if an error occurred, false otherwise.
bool DiagnoseUnexpandedParameterPack(TemplateArgumentLoc Arg,
UnexpandedParameterPackContext UPPC);
/// Collect the set of unexpanded parameter packs within the given
/// template argument.
///
/// \param Arg The template argument that will be traversed to find
/// unexpanded parameter packs.
void collectUnexpandedParameterPacks(TemplateArgument Arg,
SmallVectorImpl<UnexpandedParameterPack> &Unexpanded);
/// Collect the set of unexpanded parameter packs within the given
/// template argument.
///
/// \param Arg The template argument that will be traversed to find
/// unexpanded parameter packs.
void collectUnexpandedParameterPacks(TemplateArgumentLoc Arg,
SmallVectorImpl<UnexpandedParameterPack> &Unexpanded);
/// Collect the set of unexpanded parameter packs within the given
/// type.
///
/// \param T The type that will be traversed to find
/// unexpanded parameter packs.
void collectUnexpandedParameterPacks(QualType T,
SmallVectorImpl<UnexpandedParameterPack> &Unexpanded);
/// Collect the set of unexpanded parameter packs within the given
/// type.
///
/// \param TL The type that will be traversed to find
/// unexpanded parameter packs.
void collectUnexpandedParameterPacks(TypeLoc TL,
SmallVectorImpl<UnexpandedParameterPack> &Unexpanded);
/// Collect the set of unexpanded parameter packs within the given
/// nested-name-specifier.
///
/// \param NNS The nested-name-specifier that will be traversed to find
/// unexpanded parameter packs.
void collectUnexpandedParameterPacks(NestedNameSpecifierLoc NNS,
SmallVectorImpl<UnexpandedParameterPack> &Unexpanded);
/// Collect the set of unexpanded parameter packs within the given
/// name.
///
/// \param NameInfo The name that will be traversed to find
/// unexpanded parameter packs.
void collectUnexpandedParameterPacks(const DeclarationNameInfo &NameInfo,
SmallVectorImpl<UnexpandedParameterPack> &Unexpanded);
/// Invoked when parsing a template argument followed by an
/// ellipsis, which creates a pack expansion.
///
/// \param Arg The template argument preceding the ellipsis, which
/// may already be invalid.
///
/// \param EllipsisLoc The location of the ellipsis.
ParsedTemplateArgument ActOnPackExpansion(const ParsedTemplateArgument &Arg,
SourceLocation EllipsisLoc);
/// Invoked when parsing a type followed by an ellipsis, which
/// creates a pack expansion.
///
/// \param Type The type preceding the ellipsis, which will become
/// the pattern of the pack expansion.
///
/// \param EllipsisLoc The location of the ellipsis.
TypeResult ActOnPackExpansion(ParsedType Type, SourceLocation EllipsisLoc);
/// Construct a pack expansion type from the pattern of the pack
/// expansion.
TypeSourceInfo *CheckPackExpansion(TypeSourceInfo *Pattern,
SourceLocation EllipsisLoc,
Optional<unsigned> NumExpansions);
/// Construct a pack expansion type from the pattern of the pack
/// expansion.
QualType CheckPackExpansion(QualType Pattern,
SourceRange PatternRange,
SourceLocation EllipsisLoc,
Optional<unsigned> NumExpansions);
/// Invoked when parsing an expression followed by an ellipsis, which
/// creates a pack expansion.
///
/// \param Pattern The expression preceding the ellipsis, which will become
/// the pattern of the pack expansion.
///
/// \param EllipsisLoc The location of the ellipsis.
ExprResult ActOnPackExpansion(Expr *Pattern, SourceLocation EllipsisLoc);
/// Invoked when parsing an expression followed by an ellipsis, which
/// creates a pack expansion.
///
/// \param Pattern The expression preceding the ellipsis, which will become
/// the pattern of the pack expansion.
///
/// \param EllipsisLoc The location of the ellipsis.
ExprResult CheckPackExpansion(Expr *Pattern, SourceLocation EllipsisLoc,
Optional<unsigned> NumExpansions);
/// Determine whether we could expand a pack expansion with the
/// given set of parameter packs into separate arguments by repeatedly
/// transforming the pattern.
///
/// \param EllipsisLoc The location of the ellipsis that identifies the
/// pack expansion.
///
/// \param PatternRange The source range that covers the entire pattern of
/// the pack expansion.
///
/// \param Unexpanded The set of unexpanded parameter packs within the
/// pattern.
///
/// \param ShouldExpand Will be set to \c true if the transformer should
/// expand the corresponding pack expansions into separate arguments. When
/// set, \c NumExpansions must also be set.
///
/// \param RetainExpansion Whether the caller should add an unexpanded
/// pack expansion after all of the expanded arguments. This is used
/// when extending explicitly-specified template argument packs per
/// C++0x [temp.arg.explicit]p9.
///
/// \param NumExpansions The number of separate arguments that will be in
/// the expanded form of the corresponding pack expansion. This is both an
/// input and an output parameter, which can be set by the caller if the
/// number of expansions is known a priori (e.g., due to a prior substitution)
/// and will be set by the callee when the number of expansions is known.
/// The callee must set this value when \c ShouldExpand is \c true; it may
/// set this value in other cases.
///
/// \returns true if an error occurred (e.g., because the parameter packs
/// are to be instantiated with arguments of different lengths), false
/// otherwise. If false, \c ShouldExpand (and possibly \c NumExpansions)
/// must be set.
bool CheckParameterPacksForExpansion(SourceLocation EllipsisLoc,
SourceRange PatternRange,
ArrayRef<UnexpandedParameterPack> Unexpanded,
const MultiLevelTemplateArgumentList &TemplateArgs,
bool &ShouldExpand,
bool &RetainExpansion,
Optional<unsigned> &NumExpansions);
/// Determine the number of arguments in the given pack expansion
/// type.
///
/// This routine assumes that the number of arguments in the expansion is
/// consistent across all of the unexpanded parameter packs in its pattern.
///
/// Returns an empty Optional if the type can't be expanded.
Optional<unsigned> getNumArgumentsInExpansion(QualType T,
const MultiLevelTemplateArgumentList &TemplateArgs);
/// Determine whether the given declarator contains any unexpanded
/// parameter packs.
///
/// This routine is used by the parser to disambiguate function declarators
/// with an ellipsis prior to the ')', e.g.,
///
/// \code
/// void f(T...);
/// \endcode
///
/// To determine whether we have an (unnamed) function parameter pack or
/// a variadic function.
///
/// \returns true if the declarator contains any unexpanded parameter packs,
/// false otherwise.
bool containsUnexpandedParameterPacks(Declarator &D);
/// Returns the pattern of the pack expansion for a template argument.
///
/// \param OrigLoc The template argument to expand.
///
/// \param Ellipsis Will be set to the location of the ellipsis.
///
/// \param NumExpansions Will be set to the number of expansions that will
/// be generated from this pack expansion, if known a priori.
TemplateArgumentLoc getTemplateArgumentPackExpansionPattern(
TemplateArgumentLoc OrigLoc,
SourceLocation &Ellipsis,
Optional<unsigned> &NumExpansions) const;
/// Given a template argument that contains an unexpanded parameter pack, but
/// which has already been substituted, attempt to determine the number of
/// elements that will be produced once this argument is fully-expanded.
///
/// This is intended for use when transforming 'sizeof...(Arg)' in order to
/// avoid actually expanding the pack where possible.
Optional<unsigned> getFullyPackExpandedSize(TemplateArgument Arg);
//===--------------------------------------------------------------------===//
// C++ Template Argument Deduction (C++ [temp.deduct])
//===--------------------------------------------------------------------===//
/// Adjust the type \p ArgFunctionType to match the calling convention,
/// noreturn, and optionally the exception specification of \p FunctionType.
/// Deduction often wants to ignore these properties when matching function
/// types.
QualType adjustCCAndNoReturn(QualType ArgFunctionType, QualType FunctionType,
bool AdjustExceptionSpec = false);
/// Describes the result of template argument deduction.
///
/// The TemplateDeductionResult enumeration describes the result of
/// template argument deduction, as returned from
/// DeduceTemplateArguments(). The separate TemplateDeductionInfo
/// structure provides additional information about the results of
/// template argument deduction, e.g., the deduced template argument
/// list (if successful) or the specific template parameters or
/// deduced arguments that were involved in the failure.
enum TemplateDeductionResult {
/// Template argument deduction was successful.
TDK_Success = 0,
/// The declaration was invalid; do nothing.
TDK_Invalid,
/// Template argument deduction exceeded the maximum template
/// instantiation depth (which has already been diagnosed).
TDK_InstantiationDepth,
/// Template argument deduction did not deduce a value
/// for every template parameter.
TDK_Incomplete,
/// Template argument deduction did not deduce a value for every
/// expansion of an expanded template parameter pack.
TDK_IncompletePack,
/// Template argument deduction produced inconsistent
/// deduced values for the given template parameter.
TDK_Inconsistent,
/// Template argument deduction failed due to inconsistent
/// cv-qualifiers on a template parameter type that would
/// otherwise be deduced, e.g., we tried to deduce T in "const T"
/// but were given a non-const "X".
TDK_Underqualified,
/// Substitution of the deduced template argument values
/// resulted in an error.
TDK_SubstitutionFailure,
/// After substituting deduced template arguments, a dependent
/// parameter type did not match the corresponding argument.
TDK_DeducedMismatch,
/// After substituting deduced template arguments, an element of
/// a dependent parameter type did not match the corresponding element
/// of the corresponding argument (when deducing from an initializer list).
TDK_DeducedMismatchNested,
/// A non-depnedent component of the parameter did not match the
/// corresponding component of the argument.
TDK_NonDeducedMismatch,
/// When performing template argument deduction for a function
/// template, there were too many call arguments.
TDK_TooManyArguments,
/// When performing template argument deduction for a function
/// template, there were too few call arguments.
TDK_TooFewArguments,
/// The explicitly-specified template arguments were not valid
/// template arguments for the given template.
TDK_InvalidExplicitArguments,
/// Checking non-dependent argument conversions failed.
TDK_NonDependentConversionFailure,
/// The deduced arguments did not satisfy the constraints associated
/// with the template.
TDK_ConstraintsNotSatisfied,
/// Deduction failed; that's all we know.
TDK_MiscellaneousDeductionFailure,
/// CUDA Target attributes do not match.
TDK_CUDATargetMismatch
};
TemplateDeductionResult
DeduceTemplateArguments(ClassTemplatePartialSpecializationDecl *Partial,
const TemplateArgumentList &TemplateArgs,
sema::TemplateDeductionInfo &Info);
TemplateDeductionResult
DeduceTemplateArguments(VarTemplatePartialSpecializationDecl *Partial,
const TemplateArgumentList &TemplateArgs,
sema::TemplateDeductionInfo &Info);
TemplateDeductionResult SubstituteExplicitTemplateArguments(
FunctionTemplateDecl *FunctionTemplate,
TemplateArgumentListInfo &ExplicitTemplateArgs,
SmallVectorImpl<DeducedTemplateArgument> &Deduced,
SmallVectorImpl<QualType> &ParamTypes, QualType *FunctionType,
sema::TemplateDeductionInfo &Info);
/// brief A function argument from which we performed template argument
// deduction for a call.
struct OriginalCallArg {
OriginalCallArg(QualType OriginalParamType, bool DecomposedParam,
unsigned ArgIdx, QualType OriginalArgType)
: OriginalParamType(OriginalParamType),
DecomposedParam(DecomposedParam), ArgIdx(ArgIdx),
OriginalArgType(OriginalArgType) {}
QualType OriginalParamType;
bool DecomposedParam;
unsigned ArgIdx;
QualType OriginalArgType;
};
TemplateDeductionResult FinishTemplateArgumentDeduction(
FunctionTemplateDecl *FunctionTemplate,
SmallVectorImpl<DeducedTemplateArgument> &Deduced,
unsigned NumExplicitlySpecified, FunctionDecl *&Specialization,
sema::TemplateDeductionInfo &Info,
SmallVectorImpl<OriginalCallArg> const *OriginalCallArgs = nullptr,
bool PartialOverloading = false,
llvm::function_ref<bool()> CheckNonDependent = []{ return false; });
TemplateDeductionResult DeduceTemplateArguments(
FunctionTemplateDecl *FunctionTemplate,
TemplateArgumentListInfo *ExplicitTemplateArgs, ArrayRef<Expr *> Args,
FunctionDecl *&Specialization, sema::TemplateDeductionInfo &Info,
bool PartialOverloading,
llvm::function_ref<bool(ArrayRef<QualType>)> CheckNonDependent);
TemplateDeductionResult
DeduceTemplateArguments(FunctionTemplateDecl *FunctionTemplate,
TemplateArgumentListInfo *ExplicitTemplateArgs,
QualType ArgFunctionType,
FunctionDecl *&Specialization,
sema::TemplateDeductionInfo &Info,
bool IsAddressOfFunction = false);
TemplateDeductionResult
DeduceTemplateArguments(FunctionTemplateDecl *FunctionTemplate,
QualType ToType,
CXXConversionDecl *&Specialization,
sema::TemplateDeductionInfo &Info);
TemplateDeductionResult
DeduceTemplateArguments(FunctionTemplateDecl *FunctionTemplate,
TemplateArgumentListInfo *ExplicitTemplateArgs,
FunctionDecl *&Specialization,
sema::TemplateDeductionInfo &Info,
bool IsAddressOfFunction = false);
/// Substitute Replacement for \p auto in \p TypeWithAuto
QualType SubstAutoType(QualType TypeWithAuto, QualType Replacement);
/// Substitute Replacement for auto in TypeWithAuto
TypeSourceInfo* SubstAutoTypeSourceInfo(TypeSourceInfo *TypeWithAuto,
QualType Replacement);
// Substitute auto in TypeWithAuto for a Dependent auto type
QualType SubstAutoTypeDependent(QualType TypeWithAuto);
// Substitute auto in TypeWithAuto for a Dependent auto type
TypeSourceInfo *
SubstAutoTypeSourceInfoDependent(TypeSourceInfo *TypeWithAuto);
/// Completely replace the \c auto in \p TypeWithAuto by
/// \p Replacement. This does not retain any \c auto type sugar.
QualType ReplaceAutoType(QualType TypeWithAuto, QualType Replacement);
TypeSourceInfo *ReplaceAutoTypeSourceInfo(TypeSourceInfo *TypeWithAuto,
QualType Replacement);
/// Result type of DeduceAutoType.
enum DeduceAutoResult {
DAR_Succeeded,
DAR_Failed,
DAR_FailedAlreadyDiagnosed
};
DeduceAutoResult
DeduceAutoType(TypeSourceInfo *AutoType, Expr *&Initializer, QualType &Result,
Optional<unsigned> DependentDeductionDepth = None,
bool IgnoreConstraints = false);
DeduceAutoResult
DeduceAutoType(TypeLoc AutoTypeLoc, Expr *&Initializer, QualType &Result,
Optional<unsigned> DependentDeductionDepth = None,
bool IgnoreConstraints = false);
void DiagnoseAutoDeductionFailure(VarDecl *VDecl, Expr *Init);
bool DeduceReturnType(FunctionDecl *FD, SourceLocation Loc,
bool Diagnose = true);
/// Declare implicit deduction guides for a class template if we've
/// not already done so.
void DeclareImplicitDeductionGuides(TemplateDecl *Template,
SourceLocation Loc);
QualType DeduceTemplateSpecializationFromInitializer(
TypeSourceInfo *TInfo, const InitializedEntity &Entity,
const InitializationKind &Kind, MultiExprArg Init);
QualType deduceVarTypeFromInitializer(VarDecl *VDecl, DeclarationName Name,
QualType Type, TypeSourceInfo *TSI,
SourceRange Range, bool DirectInit,
Expr *Init);
TypeLoc getReturnTypeLoc(FunctionDecl *FD) const;
bool DeduceFunctionTypeFromReturnExpr(FunctionDecl *FD,
SourceLocation ReturnLoc,
Expr *&RetExpr, AutoType *AT);
FunctionTemplateDecl *getMoreSpecializedTemplate(
FunctionTemplateDecl *FT1, FunctionTemplateDecl *FT2, SourceLocation Loc,
TemplatePartialOrderingContext TPOC, unsigned NumCallArguments1,
unsigned NumCallArguments2, bool Reversed = false);
UnresolvedSetIterator
getMostSpecialized(UnresolvedSetIterator SBegin, UnresolvedSetIterator SEnd,
TemplateSpecCandidateSet &FailedCandidates,
SourceLocation Loc,
const PartialDiagnostic &NoneDiag,
const PartialDiagnostic &AmbigDiag,
const PartialDiagnostic &CandidateDiag,
bool Complain = true, QualType TargetType = QualType());
ClassTemplatePartialSpecializationDecl *
getMoreSpecializedPartialSpecialization(
ClassTemplatePartialSpecializationDecl *PS1,
ClassTemplatePartialSpecializationDecl *PS2,
SourceLocation Loc);
bool isMoreSpecializedThanPrimary(ClassTemplatePartialSpecializationDecl *T,
sema::TemplateDeductionInfo &Info);
VarTemplatePartialSpecializationDecl *getMoreSpecializedPartialSpecialization(
VarTemplatePartialSpecializationDecl *PS1,
VarTemplatePartialSpecializationDecl *PS2, SourceLocation Loc);
bool isMoreSpecializedThanPrimary(VarTemplatePartialSpecializationDecl *T,
sema::TemplateDeductionInfo &Info);
bool isTemplateTemplateParameterAtLeastAsSpecializedAs(
TemplateParameterList *PParam, TemplateDecl *AArg, SourceLocation Loc);
void MarkUsedTemplateParameters(const Expr *E, bool OnlyDeduced,
unsigned Depth, llvm::SmallBitVector &Used);
void MarkUsedTemplateParameters(const TemplateArgumentList &TemplateArgs,
bool OnlyDeduced,
unsigned Depth,
llvm::SmallBitVector &Used);
void MarkDeducedTemplateParameters(
const FunctionTemplateDecl *FunctionTemplate,
llvm::SmallBitVector &Deduced) {
return MarkDeducedTemplateParameters(Context, FunctionTemplate, Deduced);
}
static void MarkDeducedTemplateParameters(ASTContext &Ctx,
const FunctionTemplateDecl *FunctionTemplate,
llvm::SmallBitVector &Deduced);
//===--------------------------------------------------------------------===//
// C++ Template Instantiation
//
MultiLevelTemplateArgumentList
getTemplateInstantiationArgs(NamedDecl *D,
const TemplateArgumentList *Innermost = nullptr,
bool RelativeToPrimary = false,
const FunctionDecl *Pattern = nullptr);
/// A context in which code is being synthesized (where a source location
/// alone is not sufficient to identify the context). This covers template
/// instantiation and various forms of implicitly-generated functions.
struct CodeSynthesisContext {
/// The kind of template instantiation we are performing
enum SynthesisKind {
/// We are instantiating a template declaration. The entity is
/// the declaration we're instantiating (e.g., a CXXRecordDecl).
TemplateInstantiation,
/// We are instantiating a default argument for a template
/// parameter. The Entity is the template parameter whose argument is
/// being instantiated, the Template is the template, and the
/// TemplateArgs/NumTemplateArguments provide the template arguments as
/// specified.
DefaultTemplateArgumentInstantiation,
/// We are instantiating a default argument for a function.
/// The Entity is the ParmVarDecl, and TemplateArgs/NumTemplateArgs
/// provides the template arguments as specified.
DefaultFunctionArgumentInstantiation,
/// We are substituting explicit template arguments provided for
/// a function template. The entity is a FunctionTemplateDecl.
ExplicitTemplateArgumentSubstitution,
/// We are substituting template argument determined as part of
/// template argument deduction for either a class template
/// partial specialization or a function template. The
/// Entity is either a {Class|Var}TemplatePartialSpecializationDecl or
/// a TemplateDecl.
DeducedTemplateArgumentSubstitution,
/// We are substituting prior template arguments into a new
/// template parameter. The template parameter itself is either a
/// NonTypeTemplateParmDecl or a TemplateTemplateParmDecl.
PriorTemplateArgumentSubstitution,
/// We are checking the validity of a default template argument that
/// has been used when naming a template-id.
DefaultTemplateArgumentChecking,
/// We are computing the exception specification for a defaulted special
/// member function.
ExceptionSpecEvaluation,
/// We are instantiating the exception specification for a function
/// template which was deferred until it was needed.
ExceptionSpecInstantiation,
/// We are instantiating a requirement of a requires expression.
RequirementInstantiation,
/// We are checking the satisfaction of a nested requirement of a requires
/// expression.
NestedRequirementConstraintsCheck,
/// We are declaring an implicit special member function.
DeclaringSpecialMember,
/// We are declaring an implicit 'operator==' for a defaulted
/// 'operator<=>'.
DeclaringImplicitEqualityComparison,
/// We are defining a synthesized function (such as a defaulted special
/// member).
DefiningSynthesizedFunction,
// We are checking the constraints associated with a constrained entity or
// the constraint expression of a concept. This includes the checks that
// atomic constraints have the type 'bool' and that they can be constant
// evaluated.
ConstraintsCheck,
// We are substituting template arguments into a constraint expression.
ConstraintSubstitution,
// We are normalizing a constraint expression.
ConstraintNormalization,
// We are substituting into the parameter mapping of an atomic constraint
// during normalization.
ParameterMappingSubstitution,
/// We are rewriting a comparison operator in terms of an operator<=>.
RewritingOperatorAsSpaceship,
/// We are initializing a structured binding.
InitializingStructuredBinding,
/// We are marking a class as __dllexport.
MarkingClassDllexported,
/// Added for Template instantiation observation.
/// Memoization means we are _not_ instantiating a template because
/// it is already instantiated (but we entered a context where we
/// would have had to if it was not already instantiated).
Memoization
} Kind;
/// Was the enclosing context a non-instantiation SFINAE context?
bool SavedInNonInstantiationSFINAEContext;
/// The point of instantiation or synthesis within the source code.
SourceLocation PointOfInstantiation;
/// The entity that is being synthesized.
Decl *Entity;
/// The template (or partial specialization) in which we are
/// performing the instantiation, for substitutions of prior template
/// arguments.
NamedDecl *Template;
/// The list of template arguments we are substituting, if they
/// are not part of the entity.
const TemplateArgument *TemplateArgs;
// FIXME: Wrap this union around more members, or perhaps store the
// kind-specific members in the RAII object owning the context.
union {
/// The number of template arguments in TemplateArgs.
unsigned NumTemplateArgs;
/// The special member being declared or defined.
CXXSpecialMember SpecialMember;
};
ArrayRef<TemplateArgument> template_arguments() const {
assert(Kind != DeclaringSpecialMember);
return {TemplateArgs, NumTemplateArgs};
}
/// The template deduction info object associated with the
/// substitution or checking of explicit or deduced template arguments.
sema::TemplateDeductionInfo *DeductionInfo;
/// The source range that covers the construct that cause
/// the instantiation, e.g., the template-id that causes a class
/// template instantiation.
SourceRange InstantiationRange;
CodeSynthesisContext()
: Kind(TemplateInstantiation),
SavedInNonInstantiationSFINAEContext(false), Entity(nullptr),
Template(nullptr), TemplateArgs(nullptr), NumTemplateArgs(0),
DeductionInfo(nullptr) {}
/// Determines whether this template is an actual instantiation
/// that should be counted toward the maximum instantiation depth.
bool isInstantiationRecord() const;
};
/// List of active code synthesis contexts.
///
/// This vector is treated as a stack. As synthesis of one entity requires
/// synthesis of another, additional contexts are pushed onto the stack.
SmallVector<CodeSynthesisContext, 16> CodeSynthesisContexts;
/// Specializations whose definitions are currently being instantiated.
llvm::DenseSet<std::pair<Decl *, unsigned>> InstantiatingSpecializations;
/// Non-dependent types used in templates that have already been instantiated
/// by some template instantiation.
llvm::DenseSet<QualType> InstantiatedNonDependentTypes;
/// Extra modules inspected when performing a lookup during a template
/// instantiation. Computed lazily.
SmallVector<Module*, 16> CodeSynthesisContextLookupModules;
/// Cache of additional modules that should be used for name lookup
/// within the current template instantiation. Computed lazily; use
/// getLookupModules() to get a complete set.
llvm::DenseSet<Module*> LookupModulesCache;
/// Get the set of additional modules that should be checked during
/// name lookup. A module and its imports become visible when instanting a
/// template defined within it.
llvm::DenseSet<Module*> &getLookupModules();
/// Map from the most recent declaration of a namespace to the most
/// recent visible declaration of that namespace.
llvm::DenseMap<NamedDecl*, NamedDecl*> VisibleNamespaceCache;
/// Whether we are in a SFINAE context that is not associated with
/// template instantiation.
///
/// This is used when setting up a SFINAE trap (\c see SFINAETrap) outside
/// of a template instantiation or template argument deduction.
bool InNonInstantiationSFINAEContext;
/// The number of \p CodeSynthesisContexts that are not template
/// instantiations and, therefore, should not be counted as part of the
/// instantiation depth.
///
/// When the instantiation depth reaches the user-configurable limit
/// \p LangOptions::InstantiationDepth we will abort instantiation.
// FIXME: Should we have a similar limit for other forms of synthesis?
unsigned NonInstantiationEntries;
/// The depth of the context stack at the point when the most recent
/// error or warning was produced.
///
/// This value is used to suppress printing of redundant context stacks
/// when there are multiple errors or warnings in the same instantiation.
// FIXME: Does this belong in Sema? It's tough to implement it anywhere else.
unsigned LastEmittedCodeSynthesisContextDepth = 0;
/// The template instantiation callbacks to trace or track
/// instantiations (objects can be chained).
///
/// This callbacks is used to print, trace or track template
/// instantiations as they are being constructed.
std::vector<std::unique_ptr<TemplateInstantiationCallback>>
TemplateInstCallbacks;
/// The current index into pack expansion arguments that will be
/// used for substitution of parameter packs.
///
/// The pack expansion index will be -1 to indicate that parameter packs
/// should be instantiated as themselves. Otherwise, the index specifies
/// which argument within the parameter pack will be used for substitution.
int ArgumentPackSubstitutionIndex;
/// RAII object used to change the argument pack substitution index
/// within a \c Sema object.
///
/// See \c ArgumentPackSubstitutionIndex for more information.
class ArgumentPackSubstitutionIndexRAII {
Sema &Self;
int OldSubstitutionIndex;
public:
ArgumentPackSubstitutionIndexRAII(Sema &Self, int NewSubstitutionIndex)
: Self(Self), OldSubstitutionIndex(Self.ArgumentPackSubstitutionIndex) {
Self.ArgumentPackSubstitutionIndex = NewSubstitutionIndex;
}
~ArgumentPackSubstitutionIndexRAII() {
Self.ArgumentPackSubstitutionIndex = OldSubstitutionIndex;
}
};
friend class ArgumentPackSubstitutionRAII;
/// For each declaration that involved template argument deduction, the
/// set of diagnostics that were suppressed during that template argument
/// deduction.
///
/// FIXME: Serialize this structure to the AST file.
typedef llvm::DenseMap<Decl *, SmallVector<PartialDiagnosticAt, 1> >
SuppressedDiagnosticsMap;
SuppressedDiagnosticsMap SuppressedDiagnostics;
/// A stack object to be created when performing template
/// instantiation.
///
/// Construction of an object of type \c InstantiatingTemplate
/// pushes the current instantiation onto the stack of active
/// instantiations. If the size of this stack exceeds the maximum
/// number of recursive template instantiations, construction
/// produces an error and evaluates true.
///
/// Destruction of this object will pop the named instantiation off
/// the stack.
struct InstantiatingTemplate {
/// Note that we are instantiating a class template,
/// function template, variable template, alias template,
/// or a member thereof.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
Decl *Entity,
SourceRange InstantiationRange = SourceRange());
struct ExceptionSpecification {};
/// Note that we are instantiating an exception specification
/// of a function template.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
FunctionDecl *Entity, ExceptionSpecification,
SourceRange InstantiationRange = SourceRange());
/// Note that we are instantiating a default argument in a
/// template-id.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
TemplateParameter Param, TemplateDecl *Template,
ArrayRef<TemplateArgument> TemplateArgs,
SourceRange InstantiationRange = SourceRange());
/// Note that we are substituting either explicitly-specified or
/// deduced template arguments during function template argument deduction.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
FunctionTemplateDecl *FunctionTemplate,
ArrayRef<TemplateArgument> TemplateArgs,
CodeSynthesisContext::SynthesisKind Kind,
sema::TemplateDeductionInfo &DeductionInfo,
SourceRange InstantiationRange = SourceRange());
/// Note that we are instantiating as part of template
/// argument deduction for a class template declaration.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
TemplateDecl *Template,
ArrayRef<TemplateArgument> TemplateArgs,
sema::TemplateDeductionInfo &DeductionInfo,
SourceRange InstantiationRange = SourceRange());
/// Note that we are instantiating as part of template
/// argument deduction for a class template partial
/// specialization.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
ClassTemplatePartialSpecializationDecl *PartialSpec,
ArrayRef<TemplateArgument> TemplateArgs,
sema::TemplateDeductionInfo &DeductionInfo,
SourceRange InstantiationRange = SourceRange());
/// Note that we are instantiating as part of template
/// argument deduction for a variable template partial
/// specialization.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
VarTemplatePartialSpecializationDecl *PartialSpec,
ArrayRef<TemplateArgument> TemplateArgs,
sema::TemplateDeductionInfo &DeductionInfo,
SourceRange InstantiationRange = SourceRange());
/// Note that we are instantiating a default argument for a function
/// parameter.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
ParmVarDecl *Param,
ArrayRef<TemplateArgument> TemplateArgs,
SourceRange InstantiationRange = SourceRange());
/// Note that we are substituting prior template arguments into a
/// non-type parameter.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
NamedDecl *Template,
NonTypeTemplateParmDecl *Param,
ArrayRef<TemplateArgument> TemplateArgs,
SourceRange InstantiationRange);
/// Note that we are substituting prior template arguments into a
/// template template parameter.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
NamedDecl *Template,
TemplateTemplateParmDecl *Param,
ArrayRef<TemplateArgument> TemplateArgs,
SourceRange InstantiationRange);
/// Note that we are checking the default template argument
/// against the template parameter for a given template-id.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
TemplateDecl *Template,
NamedDecl *Param,
ArrayRef<TemplateArgument> TemplateArgs,
SourceRange InstantiationRange);
struct ConstraintsCheck {};
/// \brief Note that we are checking the constraints associated with some
/// constrained entity (a concept declaration or a template with associated
/// constraints).
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
ConstraintsCheck, NamedDecl *Template,
ArrayRef<TemplateArgument> TemplateArgs,
SourceRange InstantiationRange);
struct ConstraintSubstitution {};
/// \brief Note that we are checking a constraint expression associated
/// with a template declaration or as part of the satisfaction check of a
/// concept.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
ConstraintSubstitution, NamedDecl *Template,
sema::TemplateDeductionInfo &DeductionInfo,
SourceRange InstantiationRange);
struct ConstraintNormalization {};
/// \brief Note that we are normalizing a constraint expression.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
ConstraintNormalization, NamedDecl *Template,
SourceRange InstantiationRange);
struct ParameterMappingSubstitution {};
/// \brief Note that we are subtituting into the parameter mapping of an
/// atomic constraint during constraint normalization.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
ParameterMappingSubstitution, NamedDecl *Template,
SourceRange InstantiationRange);
/// \brief Note that we are substituting template arguments into a part of
/// a requirement of a requires expression.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
concepts::Requirement *Req,
sema::TemplateDeductionInfo &DeductionInfo,
SourceRange InstantiationRange = SourceRange());
/// \brief Note that we are checking the satisfaction of the constraint
/// expression inside of a nested requirement.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
concepts::NestedRequirement *Req, ConstraintsCheck,
SourceRange InstantiationRange = SourceRange());
/// Note that we have finished instantiating this template.
void Clear();
~InstantiatingTemplate() { Clear(); }
/// Determines whether we have exceeded the maximum
/// recursive template instantiations.
bool isInvalid() const { return Invalid; }
/// Determine whether we are already instantiating this
/// specialization in some surrounding active instantiation.
bool isAlreadyInstantiating() const { return AlreadyInstantiating; }
private:
Sema &SemaRef;
bool Invalid;
bool AlreadyInstantiating;
bool CheckInstantiationDepth(SourceLocation PointOfInstantiation,
SourceRange InstantiationRange);
InstantiatingTemplate(
Sema &SemaRef, CodeSynthesisContext::SynthesisKind Kind,
SourceLocation PointOfInstantiation, SourceRange InstantiationRange,
Decl *Entity, NamedDecl *Template = nullptr,
ArrayRef<TemplateArgument> TemplateArgs = None,
sema::TemplateDeductionInfo *DeductionInfo = nullptr);
InstantiatingTemplate(const InstantiatingTemplate&) = delete;
InstantiatingTemplate&
operator=(const InstantiatingTemplate&) = delete;
};
void pushCodeSynthesisContext(CodeSynthesisContext Ctx);
void popCodeSynthesisContext();
/// Determine whether we are currently performing template instantiation.
bool inTemplateInstantiation() const {
return CodeSynthesisContexts.size() > NonInstantiationEntries;
}
void PrintContextStack() {
if (!CodeSynthesisContexts.empty() &&
CodeSynthesisContexts.size() != LastEmittedCodeSynthesisContextDepth) {
PrintInstantiationStack();
LastEmittedCodeSynthesisContextDepth = CodeSynthesisContexts.size();
}
if (PragmaAttributeCurrentTargetDecl)
PrintPragmaAttributeInstantiationPoint();
}
void PrintInstantiationStack();
void PrintPragmaAttributeInstantiationPoint();
/// Determines whether we are currently in a context where
/// template argument substitution failures are not considered
/// errors.
///
/// \returns An empty \c Optional if we're not in a SFINAE context.
/// Otherwise, contains a pointer that, if non-NULL, contains the nearest
/// template-deduction context object, which can be used to capture
/// diagnostics that will be suppressed.
Optional<sema::TemplateDeductionInfo *> isSFINAEContext() const;
/// Determines whether we are currently in a context that
/// is not evaluated as per C++ [expr] p5.
bool isUnevaluatedContext() const {
assert(!ExprEvalContexts.empty() &&
"Must be in an expression evaluation context");
return ExprEvalContexts.back().isUnevaluated();
}
bool isImmediateFunctionContext() const {
assert(!ExprEvalContexts.empty() &&
"Must be in an expression evaluation context");
for (const ExpressionEvaluationContextRecord &context :
llvm::reverse(ExprEvalContexts)) {
if (context.isImmediateFunctionContext())
return true;
if (context.isUnevaluated())
return false;
}
return false;
}
/// RAII class used to determine whether SFINAE has
/// trapped any errors that occur during template argument
/// deduction.
class SFINAETrap {
Sema &SemaRef;
unsigned PrevSFINAEErrors;
bool PrevInNonInstantiationSFINAEContext;
bool PrevAccessCheckingSFINAE;
bool PrevLastDiagnosticIgnored;
public:
explicit SFINAETrap(Sema &SemaRef, bool AccessCheckingSFINAE = false)
: SemaRef(SemaRef), PrevSFINAEErrors(SemaRef.NumSFINAEErrors),
PrevInNonInstantiationSFINAEContext(
SemaRef.InNonInstantiationSFINAEContext),
PrevAccessCheckingSFINAE(SemaRef.AccessCheckingSFINAE),
PrevLastDiagnosticIgnored(
SemaRef.getDiagnostics().isLastDiagnosticIgnored())
{
if (!SemaRef.isSFINAEContext())
SemaRef.InNonInstantiationSFINAEContext = true;
SemaRef.AccessCheckingSFINAE = AccessCheckingSFINAE;
}
~SFINAETrap() {
SemaRef.NumSFINAEErrors = PrevSFINAEErrors;
SemaRef.InNonInstantiationSFINAEContext
= PrevInNonInstantiationSFINAEContext;
SemaRef.AccessCheckingSFINAE = PrevAccessCheckingSFINAE;
SemaRef.getDiagnostics().setLastDiagnosticIgnored(
PrevLastDiagnosticIgnored);
}
/// Determine whether any SFINAE errors have been trapped.
bool hasErrorOccurred() const {
return SemaRef.NumSFINAEErrors > PrevSFINAEErrors;
}
};
/// RAII class used to indicate that we are performing provisional
/// semantic analysis to determine the validity of a construct, so
/// typo-correction and diagnostics in the immediate context (not within
/// implicitly-instantiated templates) should be suppressed.
class TentativeAnalysisScope {
Sema &SemaRef;
// FIXME: Using a SFINAETrap for this is a hack.
SFINAETrap Trap;
bool PrevDisableTypoCorrection;
public:
explicit TentativeAnalysisScope(Sema &SemaRef)
: SemaRef(SemaRef), Trap(SemaRef, true),
PrevDisableTypoCorrection(SemaRef.DisableTypoCorrection) {
SemaRef.DisableTypoCorrection = true;
}
~TentativeAnalysisScope() {
SemaRef.DisableTypoCorrection = PrevDisableTypoCorrection;
}
};
/// The current instantiation scope used to store local
/// variables.
LocalInstantiationScope *CurrentInstantiationScope;
/// Tracks whether we are in a context where typo correction is
/// disabled.
bool DisableTypoCorrection;
/// The number of typos corrected by CorrectTypo.
unsigned TyposCorrected;
typedef llvm::SmallSet<SourceLocation, 2> SrcLocSet;
typedef llvm::DenseMap<IdentifierInfo *, SrcLocSet> IdentifierSourceLocations;
/// A cache containing identifiers for which typo correction failed and
/// their locations, so that repeated attempts to correct an identifier in a
/// given location are ignored if typo correction already failed for it.
IdentifierSourceLocations TypoCorrectionFailures;
/// Worker object for performing CFG-based warnings.
sema::AnalysisBasedWarnings AnalysisWarnings;
threadSafety::BeforeSet *ThreadSafetyDeclCache;
/// An entity for which implicit template instantiation is required.
///
/// The source location associated with the declaration is the first place in
/// the source code where the declaration was "used". It is not necessarily
/// the point of instantiation (which will be either before or after the
/// namespace-scope declaration that triggered this implicit instantiation),
/// However, it is the location that diagnostics should generally refer to,
/// because users will need to know what code triggered the instantiation.
typedef std::pair<ValueDecl *, SourceLocation> PendingImplicitInstantiation;
/// The queue of implicit template instantiations that are required
/// but have not yet been performed.
std::deque<PendingImplicitInstantiation> PendingInstantiations;
/// Queue of implicit template instantiations that cannot be performed
/// eagerly.
SmallVector<PendingImplicitInstantiation, 1> LateParsedInstantiations;
class GlobalEagerInstantiationScope {
public:
GlobalEagerInstantiationScope(Sema &S, bool Enabled)
: S(S), Enabled(Enabled) {
if (!Enabled) return;
SavedPendingInstantiations.swap(S.PendingInstantiations);
SavedVTableUses.swap(S.VTableUses);
}
void perform() {
if (Enabled) {
S.DefineUsedVTables();
S.PerformPendingInstantiations();
}
}
~GlobalEagerInstantiationScope() {
if (!Enabled) return;
// Restore the set of pending vtables.
assert(S.VTableUses.empty() &&
"VTableUses should be empty before it is discarded.");
S.VTableUses.swap(SavedVTableUses);
// Restore the set of pending implicit instantiations.
if (S.TUKind != TU_Prefix || !S.LangOpts.PCHInstantiateTemplates) {
assert(S.PendingInstantiations.empty() &&
"PendingInstantiations should be empty before it is discarded.");
S.PendingInstantiations.swap(SavedPendingInstantiations);
} else {
// Template instantiations in the PCH may be delayed until the TU.
S.PendingInstantiations.swap(SavedPendingInstantiations);
S.PendingInstantiations.insert(S.PendingInstantiations.end(),
SavedPendingInstantiations.begin(),
SavedPendingInstantiations.end());
}
}
private:
Sema &S;
SmallVector<VTableUse, 16> SavedVTableUses;
std::deque<PendingImplicitInstantiation> SavedPendingInstantiations;
bool Enabled;
};
/// The queue of implicit template instantiations that are required
/// and must be performed within the current local scope.
///
/// This queue is only used for member functions of local classes in
/// templates, which must be instantiated in the same scope as their
/// enclosing function, so that they can reference function-local
/// types, static variables, enumerators, etc.
std::deque<PendingImplicitInstantiation> PendingLocalImplicitInstantiations;
class LocalEagerInstantiationScope {
public:
LocalEagerInstantiationScope(Sema &S) : S(S) {
SavedPendingLocalImplicitInstantiations.swap(
S.PendingLocalImplicitInstantiations);
}
void perform() { S.PerformPendingInstantiations(/*LocalOnly=*/true); }
~LocalEagerInstantiationScope() {
assert(S.PendingLocalImplicitInstantiations.empty() &&
"there shouldn't be any pending local implicit instantiations");
SavedPendingLocalImplicitInstantiations.swap(
S.PendingLocalImplicitInstantiations);
}
private:
Sema &S;
std::deque<PendingImplicitInstantiation>
SavedPendingLocalImplicitInstantiations;
};
/// A helper class for building up ExtParameterInfos.
class ExtParameterInfoBuilder {
SmallVector<FunctionProtoType::ExtParameterInfo, 16> Infos;
bool HasInteresting = false;
public:
/// Set the ExtParameterInfo for the parameter at the given index,
///
void set(unsigned index, FunctionProtoType::ExtParameterInfo info) {
assert(Infos.size() <= index);
Infos.resize(index);
Infos.push_back(info);
if (!HasInteresting)
HasInteresting = (info != FunctionProtoType::ExtParameterInfo());
}
/// Return a pointer (suitable for setting in an ExtProtoInfo) to the
/// ExtParameterInfo array we've built up.
const FunctionProtoType::ExtParameterInfo *
getPointerOrNull(unsigned numParams) {
if (!HasInteresting) return nullptr;
Infos.resize(numParams);
return Infos.data();
}
};
void PerformPendingInstantiations(bool LocalOnly = false);
TypeSourceInfo *SubstType(TypeSourceInfo *T,
const MultiLevelTemplateArgumentList &TemplateArgs,
SourceLocation Loc, DeclarationName Entity,
bool AllowDeducedTST = false);
QualType SubstType(QualType T,
const MultiLevelTemplateArgumentList &TemplateArgs,
SourceLocation Loc, DeclarationName Entity);
TypeSourceInfo *SubstType(TypeLoc TL,
const MultiLevelTemplateArgumentList &TemplateArgs,
SourceLocation Loc, DeclarationName Entity);
TypeSourceInfo *SubstFunctionDeclType(TypeSourceInfo *T,
const MultiLevelTemplateArgumentList &TemplateArgs,
SourceLocation Loc,
DeclarationName Entity,
CXXRecordDecl *ThisContext,
Qualifiers ThisTypeQuals);
void SubstExceptionSpec(FunctionDecl *New, const FunctionProtoType *Proto,
const MultiLevelTemplateArgumentList &Args);
bool SubstExceptionSpec(SourceLocation Loc,
FunctionProtoType::ExceptionSpecInfo &ESI,
SmallVectorImpl<QualType> &ExceptionStorage,
const MultiLevelTemplateArgumentList &Args);
ParmVarDecl *SubstParmVarDecl(ParmVarDecl *D,
const MultiLevelTemplateArgumentList &TemplateArgs,
int indexAdjustment,
Optional<unsigned> NumExpansions,
bool ExpectParameterPack);
bool SubstParmTypes(SourceLocation Loc, ArrayRef<ParmVarDecl *> Params,
const FunctionProtoType::ExtParameterInfo *ExtParamInfos,
const MultiLevelTemplateArgumentList &TemplateArgs,
SmallVectorImpl<QualType> &ParamTypes,
SmallVectorImpl<ParmVarDecl *> *OutParams,
ExtParameterInfoBuilder &ParamInfos);
ExprResult SubstExpr(Expr *E,
const MultiLevelTemplateArgumentList &TemplateArgs);
/// Substitute the given template arguments into a list of
/// expressions, expanding pack expansions if required.
///
/// \param Exprs The list of expressions to substitute into.
///
/// \param IsCall Whether this is some form of call, in which case
/// default arguments will be dropped.
///
/// \param TemplateArgs The set of template arguments to substitute.
///
/// \param Outputs Will receive all of the substituted arguments.
///
/// \returns true if an error occurred, false otherwise.
bool SubstExprs(ArrayRef<Expr *> Exprs, bool IsCall,
const MultiLevelTemplateArgumentList &TemplateArgs,
SmallVectorImpl<Expr *> &Outputs);
StmtResult SubstStmt(Stmt *S,
const MultiLevelTemplateArgumentList &TemplateArgs);
TemplateParameterList *
SubstTemplateParams(TemplateParameterList *Params, DeclContext *Owner,
const MultiLevelTemplateArgumentList &TemplateArgs);
bool
SubstTemplateArguments(ArrayRef<TemplateArgumentLoc> Args,
const MultiLevelTemplateArgumentList &TemplateArgs,
TemplateArgumentListInfo &Outputs);
Decl *SubstDecl(Decl *D, DeclContext *Owner,
const MultiLevelTemplateArgumentList &TemplateArgs);
/// Substitute the name and return type of a defaulted 'operator<=>' to form
/// an implicit 'operator=='.
FunctionDecl *SubstSpaceshipAsEqualEqual(CXXRecordDecl *RD,
FunctionDecl *Spaceship);
ExprResult SubstInitializer(Expr *E,
const MultiLevelTemplateArgumentList &TemplateArgs,
bool CXXDirectInit);
bool
SubstBaseSpecifiers(CXXRecordDecl *Instantiation,
CXXRecordDecl *Pattern,
const MultiLevelTemplateArgumentList &TemplateArgs);
bool
InstantiateClass(SourceLocation PointOfInstantiation,
CXXRecordDecl *Instantiation, CXXRecordDecl *Pattern,
const MultiLevelTemplateArgumentList &TemplateArgs,
TemplateSpecializationKind TSK,
bool Complain = true);
bool InstantiateEnum(SourceLocation PointOfInstantiation,
EnumDecl *Instantiation, EnumDecl *Pattern,
const MultiLevelTemplateArgumentList &TemplateArgs,
TemplateSpecializationKind TSK);
bool InstantiateInClassInitializer(
SourceLocation PointOfInstantiation, FieldDecl *Instantiation,
FieldDecl *Pattern, const MultiLevelTemplateArgumentList &TemplateArgs);
struct LateInstantiatedAttribute {
const Attr *TmplAttr;
LocalInstantiationScope *Scope;
Decl *NewDecl;
LateInstantiatedAttribute(const Attr *A, LocalInstantiationScope *S,
Decl *D)
: TmplAttr(A), Scope(S), NewDecl(D)
{ }
};
typedef SmallVector<LateInstantiatedAttribute, 16> LateInstantiatedAttrVec;
void InstantiateAttrs(const MultiLevelTemplateArgumentList &TemplateArgs,
const Decl *Pattern, Decl *Inst,
LateInstantiatedAttrVec *LateAttrs = nullptr,
LocalInstantiationScope *OuterMostScope = nullptr);
void
InstantiateAttrsForDecl(const MultiLevelTemplateArgumentList &TemplateArgs,
const Decl *Pattern, Decl *Inst,
LateInstantiatedAttrVec *LateAttrs = nullptr,
LocalInstantiationScope *OuterMostScope = nullptr);
void InstantiateDefaultCtorDefaultArgs(CXXConstructorDecl *Ctor);
bool usesPartialOrExplicitSpecialization(
SourceLocation Loc, ClassTemplateSpecializationDecl *ClassTemplateSpec);
bool
InstantiateClassTemplateSpecialization(SourceLocation PointOfInstantiation,
ClassTemplateSpecializationDecl *ClassTemplateSpec,
TemplateSpecializationKind TSK,
bool Complain = true);
void InstantiateClassMembers(SourceLocation PointOfInstantiation,
CXXRecordDecl *Instantiation,
const MultiLevelTemplateArgumentList &TemplateArgs,
TemplateSpecializationKind TSK);
void InstantiateClassTemplateSpecializationMembers(
SourceLocation PointOfInstantiation,
ClassTemplateSpecializationDecl *ClassTemplateSpec,
TemplateSpecializationKind TSK);
NestedNameSpecifierLoc
SubstNestedNameSpecifierLoc(NestedNameSpecifierLoc NNS,
const MultiLevelTemplateArgumentList &TemplateArgs);
DeclarationNameInfo
SubstDeclarationNameInfo(const DeclarationNameInfo &NameInfo,
const MultiLevelTemplateArgumentList &TemplateArgs);
TemplateName
SubstTemplateName(NestedNameSpecifierLoc QualifierLoc, TemplateName Name,
SourceLocation Loc,
const MultiLevelTemplateArgumentList &TemplateArgs);
bool SubstTypeConstraint(TemplateTypeParmDecl *Inst, const TypeConstraint *TC,
const MultiLevelTemplateArgumentList &TemplateArgs);
bool InstantiateDefaultArgument(SourceLocation CallLoc, FunctionDecl *FD,
ParmVarDecl *Param);
void InstantiateExceptionSpec(SourceLocation PointOfInstantiation,
FunctionDecl *Function);
bool CheckInstantiatedFunctionTemplateConstraints(
SourceLocation PointOfInstantiation, FunctionDecl *Decl,
ArrayRef<TemplateArgument> TemplateArgs,
ConstraintSatisfaction &Satisfaction);
FunctionDecl *InstantiateFunctionDeclaration(FunctionTemplateDecl *FTD,
const TemplateArgumentList *Args,
SourceLocation Loc);
void InstantiateFunctionDefinition(SourceLocation PointOfInstantiation,
FunctionDecl *Function,
bool Recursive = false,
bool DefinitionRequired = false,
bool AtEndOfTU = false);
VarTemplateSpecializationDecl *BuildVarTemplateInstantiation(
VarTemplateDecl *VarTemplate, VarDecl *FromVar,
const TemplateArgumentList &TemplateArgList,
const TemplateArgumentListInfo &TemplateArgsInfo,
SmallVectorImpl<TemplateArgument> &Converted,
SourceLocation PointOfInstantiation,
LateInstantiatedAttrVec *LateAttrs = nullptr,
LocalInstantiationScope *StartingScope = nullptr);
VarTemplateSpecializationDecl *CompleteVarTemplateSpecializationDecl(
VarTemplateSpecializationDecl *VarSpec, VarDecl *PatternDecl,
const MultiLevelTemplateArgumentList &TemplateArgs);
void
BuildVariableInstantiation(VarDecl *NewVar, VarDecl *OldVar,
const MultiLevelTemplateArgumentList &TemplateArgs,
LateInstantiatedAttrVec *LateAttrs,
DeclContext *Owner,
LocalInstantiationScope *StartingScope,
bool InstantiatingVarTemplate = false,
VarTemplateSpecializationDecl *PrevVTSD = nullptr);
void InstantiateVariableInitializer(
VarDecl *Var, VarDecl *OldVar,
const MultiLevelTemplateArgumentList &TemplateArgs);
void InstantiateVariableDefinition(SourceLocation PointOfInstantiation,
VarDecl *Var, bool Recursive = false,
bool DefinitionRequired = false,
bool AtEndOfTU = false);
void InstantiateMemInitializers(CXXConstructorDecl *New,
const CXXConstructorDecl *Tmpl,
const MultiLevelTemplateArgumentList &TemplateArgs);
NamedDecl *FindInstantiatedDecl(SourceLocation Loc, NamedDecl *D,
const MultiLevelTemplateArgumentList &TemplateArgs,
bool FindingInstantiatedContext = false);
DeclContext *FindInstantiatedContext(SourceLocation Loc, DeclContext *DC,
const MultiLevelTemplateArgumentList &TemplateArgs);
// Objective-C declarations.
enum ObjCContainerKind {
OCK_None = -1,
OCK_Interface = 0,
OCK_Protocol,
OCK_Category,
OCK_ClassExtension,
OCK_Implementation,
OCK_CategoryImplementation
};
ObjCContainerKind getObjCContainerKind() const;
DeclResult actOnObjCTypeParam(Scope *S,
ObjCTypeParamVariance variance,
SourceLocation varianceLoc,
unsigned index,
IdentifierInfo *paramName,
SourceLocation paramLoc,
SourceLocation colonLoc,
ParsedType typeBound);
ObjCTypeParamList *actOnObjCTypeParamList(Scope *S, SourceLocation lAngleLoc,
ArrayRef<Decl *> typeParams,
SourceLocation rAngleLoc);
void popObjCTypeParamList(Scope *S, ObjCTypeParamList *typeParamList);
Decl *ActOnStartClassInterface(
Scope *S, SourceLocation AtInterfaceLoc, IdentifierInfo *ClassName,
SourceLocation ClassLoc, ObjCTypeParamList *typeParamList,
IdentifierInfo *SuperName, SourceLocation SuperLoc,
ArrayRef<ParsedType> SuperTypeArgs, SourceRange SuperTypeArgsRange,
Decl *const *ProtoRefs, unsigned NumProtoRefs,
const SourceLocation *ProtoLocs, SourceLocation EndProtoLoc,
const ParsedAttributesView &AttrList);
void ActOnSuperClassOfClassInterface(Scope *S,
SourceLocation AtInterfaceLoc,
ObjCInterfaceDecl *IDecl,
IdentifierInfo *ClassName,
SourceLocation ClassLoc,
IdentifierInfo *SuperName,
SourceLocation SuperLoc,
ArrayRef<ParsedType> SuperTypeArgs,
SourceRange SuperTypeArgsRange);
void ActOnTypedefedProtocols(SmallVectorImpl<Decl *> &ProtocolRefs,
SmallVectorImpl<SourceLocation> &ProtocolLocs,
IdentifierInfo *SuperName,
SourceLocation SuperLoc);
Decl *ActOnCompatibilityAlias(
SourceLocation AtCompatibilityAliasLoc,
IdentifierInfo *AliasName, SourceLocation AliasLocation,
IdentifierInfo *ClassName, SourceLocation ClassLocation);
bool CheckForwardProtocolDeclarationForCircularDependency(
IdentifierInfo *PName,
SourceLocation &PLoc, SourceLocation PrevLoc,
const ObjCList<ObjCProtocolDecl> &PList);
Decl *ActOnStartProtocolInterface(
SourceLocation AtProtoInterfaceLoc, IdentifierInfo *ProtocolName,
SourceLocation ProtocolLoc, Decl *const *ProtoRefNames,
unsigned NumProtoRefs, const SourceLocation *ProtoLocs,
SourceLocation EndProtoLoc, const ParsedAttributesView &AttrList);
Decl *ActOnStartCategoryInterface(
SourceLocation AtInterfaceLoc, IdentifierInfo *ClassName,
SourceLocation ClassLoc, ObjCTypeParamList *typeParamList,
IdentifierInfo *CategoryName, SourceLocation CategoryLoc,
Decl *const *ProtoRefs, unsigned NumProtoRefs,
const SourceLocation *ProtoLocs, SourceLocation EndProtoLoc,
const ParsedAttributesView &AttrList);
Decl *ActOnStartClassImplementation(SourceLocation AtClassImplLoc,
IdentifierInfo *ClassName,
SourceLocation ClassLoc,
IdentifierInfo *SuperClassname,
SourceLocation SuperClassLoc,
const ParsedAttributesView &AttrList);
Decl *ActOnStartCategoryImplementation(SourceLocation AtCatImplLoc,
IdentifierInfo *ClassName,
SourceLocation ClassLoc,
IdentifierInfo *CatName,
SourceLocation CatLoc,
const ParsedAttributesView &AttrList);
DeclGroupPtrTy ActOnFinishObjCImplementation(Decl *ObjCImpDecl,
ArrayRef<Decl *> Decls);
DeclGroupPtrTy ActOnForwardClassDeclaration(SourceLocation Loc,
IdentifierInfo **IdentList,
SourceLocation *IdentLocs,
ArrayRef<ObjCTypeParamList *> TypeParamLists,
unsigned NumElts);
DeclGroupPtrTy
ActOnForwardProtocolDeclaration(SourceLocation AtProtoclLoc,
ArrayRef<IdentifierLocPair> IdentList,
const ParsedAttributesView &attrList);
void FindProtocolDeclaration(bool WarnOnDeclarations, bool ForObjCContainer,
ArrayRef<IdentifierLocPair> ProtocolId,
SmallVectorImpl<Decl *> &Protocols);
void DiagnoseTypeArgsAndProtocols(IdentifierInfo *ProtocolId,
SourceLocation ProtocolLoc,
IdentifierInfo *TypeArgId,
SourceLocation TypeArgLoc,
bool SelectProtocolFirst = false);
/// Given a list of identifiers (and their locations), resolve the
/// names to either Objective-C protocol qualifiers or type
/// arguments, as appropriate.
void actOnObjCTypeArgsOrProtocolQualifiers(
Scope *S,
ParsedType baseType,
SourceLocation lAngleLoc,
ArrayRef<IdentifierInfo *> identifiers,
ArrayRef<SourceLocation> identifierLocs,
SourceLocation rAngleLoc,
SourceLocation &typeArgsLAngleLoc,
SmallVectorImpl<ParsedType> &typeArgs,
SourceLocation &typeArgsRAngleLoc,
SourceLocation &protocolLAngleLoc,
SmallVectorImpl<Decl *> &protocols,
SourceLocation &protocolRAngleLoc,
bool warnOnIncompleteProtocols);
/// Build a an Objective-C protocol-qualified 'id' type where no
/// base type was specified.
TypeResult actOnObjCProtocolQualifierType(
SourceLocation lAngleLoc,
ArrayRef<Decl *> protocols,
ArrayRef<SourceLocation> protocolLocs,
SourceLocation rAngleLoc);
/// Build a specialized and/or protocol-qualified Objective-C type.
TypeResult actOnObjCTypeArgsAndProtocolQualifiers(
Scope *S,
SourceLocation Loc,
ParsedType BaseType,
SourceLocation TypeArgsLAngleLoc,
ArrayRef<ParsedType> TypeArgs,
SourceLocation TypeArgsRAngleLoc,
SourceLocation ProtocolLAngleLoc,
ArrayRef<Decl *> Protocols,
ArrayRef<SourceLocation> ProtocolLocs,
SourceLocation ProtocolRAngleLoc);
/// Build an Objective-C type parameter type.
QualType BuildObjCTypeParamType(const ObjCTypeParamDecl *Decl,
SourceLocation ProtocolLAngleLoc,
ArrayRef<ObjCProtocolDecl *> Protocols,
ArrayRef<SourceLocation> ProtocolLocs,
SourceLocation ProtocolRAngleLoc,
bool FailOnError = false);
/// Build an Objective-C object pointer type.
QualType BuildObjCObjectType(QualType BaseType,
SourceLocation Loc,
SourceLocation TypeArgsLAngleLoc,
ArrayRef<TypeSourceInfo *> TypeArgs,
SourceLocation TypeArgsRAngleLoc,
SourceLocation ProtocolLAngleLoc,
ArrayRef<ObjCProtocolDecl *> Protocols,
ArrayRef<SourceLocation> ProtocolLocs,
SourceLocation ProtocolRAngleLoc,
bool FailOnError = false);
/// Ensure attributes are consistent with type.
/// \param [in, out] Attributes The attributes to check; they will
/// be modified to be consistent with \p PropertyTy.
void CheckObjCPropertyAttributes(Decl *PropertyPtrTy,
SourceLocation Loc,
unsigned &Attributes,
bool propertyInPrimaryClass);
/// Process the specified property declaration and create decls for the
/// setters and getters as needed.
/// \param property The property declaration being processed
void ProcessPropertyDecl(ObjCPropertyDecl *property);
void DiagnosePropertyMismatch(ObjCPropertyDecl *Property,
ObjCPropertyDecl *SuperProperty,
const IdentifierInfo *Name,
bool OverridingProtocolProperty);
void DiagnoseClassExtensionDupMethods(ObjCCategoryDecl *CAT,
ObjCInterfaceDecl *ID);
Decl *ActOnAtEnd(Scope *S, SourceRange AtEnd,
ArrayRef<Decl *> allMethods = None,
ArrayRef<DeclGroupPtrTy> allTUVars = None);
Decl *ActOnProperty(Scope *S, SourceLocation AtLoc,
SourceLocation LParenLoc,
FieldDeclarator &FD, ObjCDeclSpec &ODS,
Selector GetterSel, Selector SetterSel,
tok::ObjCKeywordKind MethodImplKind,
DeclContext *lexicalDC = nullptr);
Decl *ActOnPropertyImplDecl(Scope *S,
SourceLocation AtLoc,
SourceLocation PropertyLoc,
bool ImplKind,
IdentifierInfo *PropertyId,
IdentifierInfo *PropertyIvar,
SourceLocation PropertyIvarLoc,
ObjCPropertyQueryKind QueryKind);
enum ObjCSpecialMethodKind {
OSMK_None,
OSMK_Alloc,
OSMK_New,
OSMK_Copy,
OSMK_RetainingInit,
OSMK_NonRetainingInit
};
struct ObjCArgInfo {
IdentifierInfo *Name;
SourceLocation NameLoc;
// The Type is null if no type was specified, and the DeclSpec is invalid
// in this case.
ParsedType Type;
ObjCDeclSpec DeclSpec;
/// ArgAttrs - Attribute list for this argument.
ParsedAttributesView ArgAttrs;
};
Decl *ActOnMethodDeclaration(
Scope *S,
SourceLocation BeginLoc, // location of the + or -.
SourceLocation EndLoc, // location of the ; or {.
tok::TokenKind MethodType, ObjCDeclSpec &ReturnQT, ParsedType ReturnType,
ArrayRef<SourceLocation> SelectorLocs, Selector Sel,
// optional arguments. The number of types/arguments is obtained
// from the Sel.getNumArgs().
ObjCArgInfo *ArgInfo, DeclaratorChunk::ParamInfo *CParamInfo,
unsigned CNumArgs, // c-style args
const ParsedAttributesView &AttrList, tok::ObjCKeywordKind MethodImplKind,
bool isVariadic, bool MethodDefinition);
ObjCMethodDecl *LookupMethodInQualifiedType(Selector Sel,
const ObjCObjectPointerType *OPT,
bool IsInstance);
ObjCMethodDecl *LookupMethodInObjectType(Selector Sel, QualType Ty,
bool IsInstance);
bool CheckARCMethodDecl(ObjCMethodDecl *method);
bool inferObjCARCLifetime(ValueDecl *decl);
void deduceOpenCLAddressSpace(ValueDecl *decl);
ExprResult
HandleExprPropertyRefExpr(const ObjCObjectPointerType *OPT,
Expr *BaseExpr,
SourceLocation OpLoc,
DeclarationName MemberName,
SourceLocation MemberLoc,
SourceLocation SuperLoc, QualType SuperType,
bool Super);
ExprResult
ActOnClassPropertyRefExpr(IdentifierInfo &receiverName,
IdentifierInfo &propertyName,
SourceLocation receiverNameLoc,
SourceLocation propertyNameLoc);
ObjCMethodDecl *tryCaptureObjCSelf(SourceLocation Loc);
/// Describes the kind of message expression indicated by a message
/// send that starts with an identifier.
enum ObjCMessageKind {
/// The message is sent to 'super'.
ObjCSuperMessage,
/// The message is an instance message.
ObjCInstanceMessage,
/// The message is a class message, and the identifier is a type
/// name.
ObjCClassMessage
};
ObjCMessageKind getObjCMessageKind(Scope *S,
IdentifierInfo *Name,
SourceLocation NameLoc,
bool IsSuper,
bool HasTrailingDot,
ParsedType &ReceiverType);
ExprResult ActOnSuperMessage(Scope *S, SourceLocation SuperLoc,
Selector Sel,
SourceLocation LBracLoc,
ArrayRef<SourceLocation> SelectorLocs,
SourceLocation RBracLoc,
MultiExprArg Args);
ExprResult BuildClassMessage(TypeSourceInfo *ReceiverTypeInfo,
QualType ReceiverType,
SourceLocation SuperLoc,
Selector Sel,
ObjCMethodDecl *Method,
SourceLocation LBracLoc,
ArrayRef<SourceLocation> SelectorLocs,
SourceLocation RBracLoc,
MultiExprArg Args,
bool isImplicit = false);
ExprResult BuildClassMessageImplicit(QualType ReceiverType,
bool isSuperReceiver,
SourceLocation Loc,
Selector Sel,
ObjCMethodDecl *Method,
MultiExprArg Args);
ExprResult ActOnClassMessage(Scope *S,
ParsedType Receiver,
Selector Sel,
SourceLocation LBracLoc,
ArrayRef<SourceLocation> SelectorLocs,
SourceLocation RBracLoc,
MultiExprArg Args);
ExprResult BuildInstanceMessage(Expr *Receiver,
QualType ReceiverType,
SourceLocation SuperLoc,
Selector Sel,
ObjCMethodDecl *Method,
SourceLocation LBracLoc,
ArrayRef<SourceLocation> SelectorLocs,
SourceLocation RBracLoc,
MultiExprArg Args,
bool isImplicit = false);
ExprResult BuildInstanceMessageImplicit(Expr *Receiver,
QualType ReceiverType,
SourceLocation Loc,
Selector Sel,
ObjCMethodDecl *Method,
MultiExprArg Args);
ExprResult ActOnInstanceMessage(Scope *S,
Expr *Receiver,
Selector Sel,
SourceLocation LBracLoc,
ArrayRef<SourceLocation> SelectorLocs,
SourceLocation RBracLoc,
MultiExprArg Args);
ExprResult BuildObjCBridgedCast(SourceLocation LParenLoc,
ObjCBridgeCastKind Kind,
SourceLocation BridgeKeywordLoc,
TypeSourceInfo *TSInfo,
Expr *SubExpr);
ExprResult ActOnObjCBridgedCast(Scope *S,
SourceLocation LParenLoc,
ObjCBridgeCastKind Kind,
SourceLocation BridgeKeywordLoc,
ParsedType Type,
SourceLocation RParenLoc,
Expr *SubExpr);
void CheckTollFreeBridgeCast(QualType castType, Expr *castExpr);
void CheckObjCBridgeRelatedCast(QualType castType, Expr *castExpr);
bool CheckTollFreeBridgeStaticCast(QualType castType, Expr *castExpr,
CastKind &Kind);
bool checkObjCBridgeRelatedComponents(SourceLocation Loc,
QualType DestType, QualType SrcType,
ObjCInterfaceDecl *&RelatedClass,
ObjCMethodDecl *&ClassMethod,
ObjCMethodDecl *&InstanceMethod,
TypedefNameDecl *&TDNDecl,
bool CfToNs, bool Diagnose = true);
bool CheckObjCBridgeRelatedConversions(SourceLocation Loc,
QualType DestType, QualType SrcType,
Expr *&SrcExpr, bool Diagnose = true);
bool CheckConversionToObjCLiteral(QualType DstType, Expr *&SrcExpr,
bool Diagnose = true);
bool checkInitMethod(ObjCMethodDecl *method, QualType receiverTypeIfCall);
/// Check whether the given new method is a valid override of the
/// given overridden method, and set any properties that should be inherited.
void CheckObjCMethodOverride(ObjCMethodDecl *NewMethod,
const ObjCMethodDecl *Overridden);
/// Describes the compatibility of a result type with its method.
enum ResultTypeCompatibilityKind {
RTC_Compatible,
RTC_Incompatible,
RTC_Unknown
};
/// Check whether the declared result type of the given Objective-C
/// method declaration is compatible with the method's class.
ResultTypeCompatibilityKind
checkRelatedResultTypeCompatibility(const ObjCMethodDecl *Method,
const ObjCInterfaceDecl *CurrentClass);
void CheckObjCMethodDirectOverrides(ObjCMethodDecl *method,
ObjCMethodDecl *overridden);
void CheckObjCMethodOverrides(ObjCMethodDecl *ObjCMethod,
ObjCInterfaceDecl *CurrentClass,
ResultTypeCompatibilityKind RTC);
enum PragmaOptionsAlignKind {
POAK_Native, // #pragma options align=native
POAK_Natural, // #pragma options align=natural
POAK_Packed, // #pragma options align=packed
POAK_Power, // #pragma options align=power
POAK_Mac68k, // #pragma options align=mac68k
POAK_Reset // #pragma options align=reset
};
/// ActOnPragmaClangSection - Called on well formed \#pragma clang section
void ActOnPragmaClangSection(SourceLocation PragmaLoc,
PragmaClangSectionAction Action,
PragmaClangSectionKind SecKind, StringRef SecName);
/// ActOnPragmaOptionsAlign - Called on well formed \#pragma options align.
void ActOnPragmaOptionsAlign(PragmaOptionsAlignKind Kind,
SourceLocation PragmaLoc);
/// ActOnPragmaPack - Called on well formed \#pragma pack(...).
void ActOnPragmaPack(SourceLocation PragmaLoc, PragmaMsStackAction Action,
StringRef SlotLabel, Expr *Alignment);
enum class PragmaAlignPackDiagnoseKind {
NonDefaultStateAtInclude,
ChangedStateAtExit
};
void DiagnoseNonDefaultPragmaAlignPack(PragmaAlignPackDiagnoseKind Kind,
SourceLocation IncludeLoc);
void DiagnoseUnterminatedPragmaAlignPack();
/// ActOnPragmaMSStruct - Called on well formed \#pragma ms_struct [on|off].
void ActOnPragmaMSStruct(PragmaMSStructKind Kind);
/// ActOnPragmaMSComment - Called on well formed
/// \#pragma comment(kind, "arg").
void ActOnPragmaMSComment(SourceLocation CommentLoc, PragmaMSCommentKind Kind,
StringRef Arg);
/// ActOnPragmaMSPointersToMembers - called on well formed \#pragma
/// pointers_to_members(representation method[, general purpose
/// representation]).
void ActOnPragmaMSPointersToMembers(
LangOptions::PragmaMSPointersToMembersKind Kind,
SourceLocation PragmaLoc);
/// Called on well formed \#pragma vtordisp().
void ActOnPragmaMSVtorDisp(PragmaMsStackAction Action,
SourceLocation PragmaLoc,
MSVtorDispMode Value);
enum PragmaSectionKind {
PSK_DataSeg,
PSK_BSSSeg,
PSK_ConstSeg,
PSK_CodeSeg,
};
bool UnifySection(StringRef SectionName, int SectionFlags,
NamedDecl *TheDecl);
bool UnifySection(StringRef SectionName,
int SectionFlags,
SourceLocation PragmaSectionLocation);
/// Called on well formed \#pragma bss_seg/data_seg/const_seg/code_seg.
void ActOnPragmaMSSeg(SourceLocation PragmaLocation,
PragmaMsStackAction Action,
llvm::StringRef StackSlotLabel,
StringLiteral *SegmentName,
llvm::StringRef PragmaName);
/// Called on well formed \#pragma section().
void ActOnPragmaMSSection(SourceLocation PragmaLocation,
int SectionFlags, StringLiteral *SegmentName);
/// Called on well-formed \#pragma init_seg().
void ActOnPragmaMSInitSeg(SourceLocation PragmaLocation,
StringLiteral *SegmentName);
/// Called on #pragma clang __debug dump II
void ActOnPragmaDump(Scope *S, SourceLocation Loc, IdentifierInfo *II);
/// ActOnPragmaDetectMismatch - Call on well-formed \#pragma detect_mismatch
void ActOnPragmaDetectMismatch(SourceLocation Loc, StringRef Name,
StringRef Value);
/// Are precise floating point semantics currently enabled?
bool isPreciseFPEnabled() {
return !CurFPFeatures.getAllowFPReassociate() &&
!CurFPFeatures.getNoSignedZero() &&
!CurFPFeatures.getAllowReciprocal() &&
!CurFPFeatures.getAllowApproxFunc();
}
/// ActOnPragmaFloatControl - Call on well-formed \#pragma float_control
void ActOnPragmaFloatControl(SourceLocation Loc, PragmaMsStackAction Action,
PragmaFloatControlKind Value);
/// ActOnPragmaUnused - Called on well-formed '\#pragma unused'.
void ActOnPragmaUnused(const Token &Identifier,
Scope *curScope,
SourceLocation PragmaLoc);
/// ActOnPragmaVisibility - Called on well formed \#pragma GCC visibility... .
void ActOnPragmaVisibility(const IdentifierInfo* VisType,
SourceLocation PragmaLoc);
NamedDecl *DeclClonePragmaWeak(NamedDecl *ND, IdentifierInfo *II,
SourceLocation Loc);
void DeclApplyPragmaWeak(Scope *S, NamedDecl *ND, WeakInfo &W);
/// ActOnPragmaWeakID - Called on well formed \#pragma weak ident.
void ActOnPragmaWeakID(IdentifierInfo* WeakName,
SourceLocation PragmaLoc,
SourceLocation WeakNameLoc);
/// ActOnPragmaRedefineExtname - Called on well formed
/// \#pragma redefine_extname oldname newname.
void ActOnPragmaRedefineExtname(IdentifierInfo* WeakName,
IdentifierInfo* AliasName,
SourceLocation PragmaLoc,
SourceLocation WeakNameLoc,
SourceLocation AliasNameLoc);
/// ActOnPragmaWeakAlias - Called on well formed \#pragma weak ident = ident.
void ActOnPragmaWeakAlias(IdentifierInfo* WeakName,
IdentifierInfo* AliasName,
SourceLocation PragmaLoc,
SourceLocation WeakNameLoc,
SourceLocation AliasNameLoc);
/// ActOnPragmaFPContract - Called on well formed
/// \#pragma {STDC,OPENCL} FP_CONTRACT and
/// \#pragma clang fp contract
void ActOnPragmaFPContract(SourceLocation Loc, LangOptions::FPModeKind FPC);
/// Called on well formed
/// \#pragma clang fp reassociate
void ActOnPragmaFPReassociate(SourceLocation Loc, bool IsEnabled);
/// ActOnPragmaFenvAccess - Called on well formed
/// \#pragma STDC FENV_ACCESS
void ActOnPragmaFEnvAccess(SourceLocation Loc, bool IsEnabled);
/// Called on well formed '\#pragma clang fp' that has option 'exceptions'.
void ActOnPragmaFPExceptions(SourceLocation Loc,
LangOptions::FPExceptionModeKind);
/// Called to set constant rounding mode for floating point operations.
void setRoundingMode(SourceLocation Loc, llvm::RoundingMode);
/// Called to set exception behavior for floating point operations.
void setExceptionMode(SourceLocation Loc, LangOptions::FPExceptionModeKind);
/// AddAlignmentAttributesForRecord - Adds any needed alignment attributes to
/// a the record decl, to handle '\#pragma pack' and '\#pragma options align'.
void AddAlignmentAttributesForRecord(RecordDecl *RD);
/// AddMsStructLayoutForRecord - Adds ms_struct layout attribute to record.
void AddMsStructLayoutForRecord(RecordDecl *RD);
/// PushNamespaceVisibilityAttr - Note that we've entered a
/// namespace with a visibility attribute.
void PushNamespaceVisibilityAttr(const VisibilityAttr *Attr,
SourceLocation Loc);
/// AddPushedVisibilityAttribute - If '\#pragma GCC visibility' was used,
/// add an appropriate visibility attribute.
void AddPushedVisibilityAttribute(Decl *RD);
/// PopPragmaVisibility - Pop the top element of the visibility stack; used
/// for '\#pragma GCC visibility' and visibility attributes on namespaces.
void PopPragmaVisibility(bool IsNamespaceEnd, SourceLocation EndLoc);
/// FreeVisContext - Deallocate and null out VisContext.
void FreeVisContext();
/// AddCFAuditedAttribute - Check whether we're currently within
/// '\#pragma clang arc_cf_code_audited' and, if so, consider adding
/// the appropriate attribute.
void AddCFAuditedAttribute(Decl *D);
void ActOnPragmaAttributeAttribute(ParsedAttr &Attribute,
SourceLocation PragmaLoc,
attr::ParsedSubjectMatchRuleSet Rules);
void ActOnPragmaAttributeEmptyPush(SourceLocation PragmaLoc,
const IdentifierInfo *Namespace);
/// Called on well-formed '\#pragma clang attribute pop'.
void ActOnPragmaAttributePop(SourceLocation PragmaLoc,
const IdentifierInfo *Namespace);
/// Adds the attributes that have been specified using the
/// '\#pragma clang attribute push' directives to the given declaration.
void AddPragmaAttributes(Scope *S, Decl *D);
void DiagnoseUnterminatedPragmaAttribute();
/// Called on well formed \#pragma clang optimize.
void ActOnPragmaOptimize(bool On, SourceLocation PragmaLoc);
/// Get the location for the currently active "\#pragma clang optimize
/// off". If this location is invalid, then the state of the pragma is "on".
SourceLocation getOptimizeOffPragmaLocation() const {
return OptimizeOffPragmaLocation;
}
/// Only called on function definitions; if there is a pragma in scope
/// with the effect of a range-based optnone, consider marking the function
/// with attribute optnone.
void AddRangeBasedOptnone(FunctionDecl *FD);
/// Adds the 'optnone' attribute to the function declaration if there
/// are no conflicts; Loc represents the location causing the 'optnone'
/// attribute to be added (usually because of a pragma).
void AddOptnoneAttributeIfNoConflicts(FunctionDecl *FD, SourceLocation Loc);
/// AddAlignedAttr - Adds an aligned attribute to a particular declaration.
void AddAlignedAttr(Decl *D, const AttributeCommonInfo &CI, Expr *E,
bool IsPackExpansion);
void AddAlignedAttr(Decl *D, const AttributeCommonInfo &CI, TypeSourceInfo *T,
bool IsPackExpansion);
/// AddAssumeAlignedAttr - Adds an assume_aligned attribute to a particular
/// declaration.
void AddAssumeAlignedAttr(Decl *D, const AttributeCommonInfo &CI, Expr *E,
Expr *OE);
/// AddAllocAlignAttr - Adds an alloc_align attribute to a particular
/// declaration.
void AddAllocAlignAttr(Decl *D, const AttributeCommonInfo &CI,
Expr *ParamExpr);
/// AddAlignValueAttr - Adds an align_value attribute to a particular
/// declaration.
void AddAlignValueAttr(Decl *D, const AttributeCommonInfo &CI, Expr *E);
/// AddAnnotationAttr - Adds an annotation Annot with Args arguments to D.
void AddAnnotationAttr(Decl *D, const AttributeCommonInfo &CI,
StringRef Annot, MutableArrayRef<Expr *> Args);
/// AddLaunchBoundsAttr - Adds a launch_bounds attribute to a particular
/// declaration.
void AddLaunchBoundsAttr(Decl *D, const AttributeCommonInfo &CI,
Expr *MaxThreads, Expr *MinBlocks);
/// AddModeAttr - Adds a mode attribute to a particular declaration.
void AddModeAttr(Decl *D, const AttributeCommonInfo &CI, IdentifierInfo *Name,
bool InInstantiation = false);
void AddParameterABIAttr(Decl *D, const AttributeCommonInfo &CI,
ParameterABI ABI);
enum class RetainOwnershipKind {NS, CF, OS};
void AddXConsumedAttr(Decl *D, const AttributeCommonInfo &CI,
RetainOwnershipKind K, bool IsTemplateInstantiation);
/// addAMDGPUFlatWorkGroupSizeAttr - Adds an amdgpu_flat_work_group_size
/// attribute to a particular declaration.
void addAMDGPUFlatWorkGroupSizeAttr(Decl *D, const AttributeCommonInfo &CI,
Expr *Min, Expr *Max);
/// addAMDGPUWavePersEUAttr - Adds an amdgpu_waves_per_eu attribute to a
/// particular declaration.
void addAMDGPUWavesPerEUAttr(Decl *D, const AttributeCommonInfo &CI,
Expr *Min, Expr *Max);
bool checkNSReturnsRetainedReturnType(SourceLocation loc, QualType type);
//===--------------------------------------------------------------------===//
// C++ Coroutines TS
//
bool ActOnCoroutineBodyStart(Scope *S, SourceLocation KwLoc,
StringRef Keyword);
ExprResult ActOnCoawaitExpr(Scope *S, SourceLocation KwLoc, Expr *E);
ExprResult ActOnCoyieldExpr(Scope *S, SourceLocation KwLoc, Expr *E);
StmtResult ActOnCoreturnStmt(Scope *S, SourceLocation KwLoc, Expr *E);
ExprResult BuildResolvedCoawaitExpr(SourceLocation KwLoc, Expr *E,
bool IsImplicit = false);
ExprResult BuildUnresolvedCoawaitExpr(SourceLocation KwLoc, Expr *E,
UnresolvedLookupExpr* Lookup);
ExprResult BuildCoyieldExpr(SourceLocation KwLoc, Expr *E);
StmtResult BuildCoreturnStmt(SourceLocation KwLoc, Expr *E,
bool IsImplicit = false);
StmtResult BuildCoroutineBodyStmt(CoroutineBodyStmt::CtorArgs);
bool buildCoroutineParameterMoves(SourceLocation Loc);
VarDecl *buildCoroutinePromise(SourceLocation Loc);
void CheckCompletedCoroutineBody(FunctionDecl *FD, Stmt *&Body);
/// Lookup 'coroutine_traits' in std namespace and std::experimental
/// namespace. The namespace found is recorded in Namespace.
ClassTemplateDecl *lookupCoroutineTraits(SourceLocation KwLoc,
SourceLocation FuncLoc,
NamespaceDecl *&Namespace);
/// Check that the expression co_await promise.final_suspend() shall not be
/// potentially-throwing.
bool checkFinalSuspendNoThrow(const Stmt *FinalSuspend);
//===--------------------------------------------------------------------===//
// OpenMP directives and clauses.
//
private:
void *VarDataSharingAttributesStack;
struct DeclareTargetContextInfo {
struct MapInfo {
OMPDeclareTargetDeclAttr::MapTypeTy MT;
SourceLocation Loc;
};
/// Explicitly listed variables and functions in a 'to' or 'link' clause.
llvm::DenseMap<NamedDecl *, MapInfo> ExplicitlyMapped;
/// The 'device_type' as parsed from the clause.
OMPDeclareTargetDeclAttr::DevTypeTy DT = OMPDeclareTargetDeclAttr::DT_Any;
/// The directive kind, `begin declare target` or `declare target`.
OpenMPDirectiveKind Kind;
/// The directive location.
SourceLocation Loc;
DeclareTargetContextInfo(OpenMPDirectiveKind Kind, SourceLocation Loc)
: Kind(Kind), Loc(Loc) {}
};
/// Number of nested '#pragma omp declare target' directives.
SmallVector<DeclareTargetContextInfo, 4> DeclareTargetNesting;
/// Initialization of data-sharing attributes stack.
void InitDataSharingAttributesStack();
void DestroyDataSharingAttributesStack();
ExprResult
VerifyPositiveIntegerConstantInClause(Expr *Op, OpenMPClauseKind CKind,
bool StrictlyPositive = true,
bool SuppressExprDiags = false);
/// Returns OpenMP nesting level for current directive.
unsigned getOpenMPNestingLevel() const;
/// Adjusts the function scopes index for the target-based regions.
void adjustOpenMPTargetScopeIndex(unsigned &FunctionScopesIndex,
unsigned Level) const;
/// Returns the number of scopes associated with the construct on the given
/// OpenMP level.
int getNumberOfConstructScopes(unsigned Level) const;
/// Push new OpenMP function region for non-capturing function.
void pushOpenMPFunctionRegion();
/// Pop OpenMP function region for non-capturing function.
void popOpenMPFunctionRegion(const sema::FunctionScopeInfo *OldFSI);
/// Analyzes and checks a loop nest for use by a loop transformation.
///
/// \param Kind The loop transformation directive kind.
/// \param NumLoops How many nested loops the directive is expecting.
/// \param AStmt Associated statement of the transformation directive.
/// \param LoopHelpers [out] The loop analysis result.
/// \param Body [out] The body code nested in \p NumLoops loop.
/// \param OriginalInits [out] Collection of statements and declarations that
/// must have been executed/declared before entering the
/// loop.
///
/// \return Whether there was any error.
bool checkTransformableLoopNest(
OpenMPDirectiveKind Kind, Stmt *AStmt, int NumLoops,
SmallVectorImpl<OMPLoopBasedDirective::HelperExprs> &LoopHelpers,
Stmt *&Body,
SmallVectorImpl<SmallVector<llvm::PointerUnion<Stmt *, Decl *>, 0>>
&OriginalInits);
/// Helper to keep information about the current `omp begin/end declare
/// variant` nesting.
struct OMPDeclareVariantScope {
/// The associated OpenMP context selector.
OMPTraitInfo *TI;
/// The associated OpenMP context selector mangling.
std::string NameSuffix;
OMPDeclareVariantScope(OMPTraitInfo &TI);
};
/// Return the OMPTraitInfo for the surrounding scope, if any.
OMPTraitInfo *getOMPTraitInfoForSurroundingScope() {
return OMPDeclareVariantScopes.empty() ? nullptr
: OMPDeclareVariantScopes.back().TI;
}
/// The current `omp begin/end declare variant` scopes.
SmallVector<OMPDeclareVariantScope, 4> OMPDeclareVariantScopes;
/// The current `omp begin/end assumes` scopes.
SmallVector<AssumptionAttr *, 4> OMPAssumeScoped;
/// All `omp assumes` we encountered so far.
SmallVector<AssumptionAttr *, 4> OMPAssumeGlobal;
public:
/// The declarator \p D defines a function in the scope \p S which is nested
/// in an `omp begin/end declare variant` scope. In this method we create a
/// declaration for \p D and rename \p D according to the OpenMP context
/// selector of the surrounding scope. Return all base functions in \p Bases.
void ActOnStartOfFunctionDefinitionInOpenMPDeclareVariantScope(
Scope *S, Declarator &D, MultiTemplateParamsArg TemplateParameterLists,
SmallVectorImpl<FunctionDecl *> &Bases);
/// Register \p D as specialization of all base functions in \p Bases in the
/// current `omp begin/end declare variant` scope.
void ActOnFinishedFunctionDefinitionInOpenMPDeclareVariantScope(
Decl *D, SmallVectorImpl<FunctionDecl *> &Bases);
/// Act on \p D, a function definition inside of an `omp [begin/end] assumes`.
void ActOnFinishedFunctionDefinitionInOpenMPAssumeScope(Decl *D);
/// Can we exit an OpenMP declare variant scope at the moment.
bool isInOpenMPDeclareVariantScope() const {
return !OMPDeclareVariantScopes.empty();
}
/// Given the potential call expression \p Call, determine if there is a
/// specialization via the OpenMP declare variant mechanism available. If
/// there is, return the specialized call expression, otherwise return the
/// original \p Call.
ExprResult ActOnOpenMPCall(ExprResult Call, Scope *Scope,
SourceLocation LParenLoc, MultiExprArg ArgExprs,
SourceLocation RParenLoc, Expr *ExecConfig);
/// Handle a `omp begin declare variant`.
void ActOnOpenMPBeginDeclareVariant(SourceLocation Loc, OMPTraitInfo &TI);
/// Handle a `omp end declare variant`.
void ActOnOpenMPEndDeclareVariant();
/// Checks if the variant/multiversion functions are compatible.
bool areMultiversionVariantFunctionsCompatible(
const FunctionDecl *OldFD, const FunctionDecl *NewFD,
const PartialDiagnostic &NoProtoDiagID,
const PartialDiagnosticAt &NoteCausedDiagIDAt,
const PartialDiagnosticAt &NoSupportDiagIDAt,
const PartialDiagnosticAt &DiffDiagIDAt, bool TemplatesSupported,
bool ConstexprSupported, bool CLinkageMayDiffer);
/// Function tries to capture lambda's captured variables in the OpenMP region
/// before the original lambda is captured.
void tryCaptureOpenMPLambdas(ValueDecl *V);
/// Return true if the provided declaration \a VD should be captured by
/// reference.
/// \param Level Relative level of nested OpenMP construct for that the check
/// is performed.
/// \param OpenMPCaptureLevel Capture level within an OpenMP construct.
bool isOpenMPCapturedByRef(const ValueDecl *D, unsigned Level,
unsigned OpenMPCaptureLevel) const;
/// Check if the specified variable is used in one of the private
/// clauses (private, firstprivate, lastprivate, reduction etc.) in OpenMP
/// constructs.
VarDecl *isOpenMPCapturedDecl(ValueDecl *D, bool CheckScopeInfo = false,
unsigned StopAt = 0);
ExprResult getOpenMPCapturedExpr(VarDecl *Capture, ExprValueKind VK,
ExprObjectKind OK, SourceLocation Loc);
/// If the current region is a loop-based region, mark the start of the loop
/// construct.
void startOpenMPLoop();
/// If the current region is a range loop-based region, mark the start of the
/// loop construct.
void startOpenMPCXXRangeFor();
/// Check if the specified variable is used in 'private' clause.
/// \param Level Relative level of nested OpenMP construct for that the check
/// is performed.
OpenMPClauseKind isOpenMPPrivateDecl(ValueDecl *D, unsigned Level,
unsigned CapLevel) const;
/// Sets OpenMP capture kind (OMPC_private, OMPC_firstprivate, OMPC_map etc.)
/// for \p FD based on DSA for the provided corresponding captured declaration
/// \p D.
void setOpenMPCaptureKind(FieldDecl *FD, const ValueDecl *D, unsigned Level);
/// Check if the specified variable is captured by 'target' directive.
/// \param Level Relative level of nested OpenMP construct for that the check
/// is performed.
bool isOpenMPTargetCapturedDecl(const ValueDecl *D, unsigned Level,
unsigned CaptureLevel) const;
/// Check if the specified global variable must be captured by outer capture
/// regions.
/// \param Level Relative level of nested OpenMP construct for that
/// the check is performed.
bool isOpenMPGlobalCapturedDecl(ValueDecl *D, unsigned Level,
unsigned CaptureLevel) const;
ExprResult PerformOpenMPImplicitIntegerConversion(SourceLocation OpLoc,
Expr *Op);
/// Called on start of new data sharing attribute block.
void StartOpenMPDSABlock(OpenMPDirectiveKind K,
const DeclarationNameInfo &DirName, Scope *CurScope,
SourceLocation Loc);
/// Start analysis of clauses.
void StartOpenMPClause(OpenMPClauseKind K);
/// End analysis of clauses.
void EndOpenMPClause();
/// Called on end of data sharing attribute block.
void EndOpenMPDSABlock(Stmt *CurDirective);
/// Check if the current region is an OpenMP loop region and if it is,
/// mark loop control variable, used in \p Init for loop initialization, as
/// private by default.
/// \param Init First part of the for loop.
void ActOnOpenMPLoopInitialization(SourceLocation ForLoc, Stmt *Init);
/// Called on well-formed '\#pragma omp metadirective' after parsing
/// of the associated statement.
StmtResult ActOnOpenMPMetaDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
// OpenMP directives and clauses.
/// Called on correct id-expression from the '#pragma omp
/// threadprivate'.
ExprResult ActOnOpenMPIdExpression(Scope *CurScope, CXXScopeSpec &ScopeSpec,
const DeclarationNameInfo &Id,
OpenMPDirectiveKind Kind);
/// Called on well-formed '#pragma omp threadprivate'.
DeclGroupPtrTy ActOnOpenMPThreadprivateDirective(
SourceLocation Loc,
ArrayRef<Expr *> VarList);
/// Builds a new OpenMPThreadPrivateDecl and checks its correctness.
OMPThreadPrivateDecl *CheckOMPThreadPrivateDecl(SourceLocation Loc,
ArrayRef<Expr *> VarList);
/// Called on well-formed '#pragma omp allocate'.
DeclGroupPtrTy ActOnOpenMPAllocateDirective(SourceLocation Loc,
ArrayRef<Expr *> VarList,
ArrayRef<OMPClause *> Clauses,
DeclContext *Owner = nullptr);
/// Called on well-formed '#pragma omp [begin] assume[s]'.
void ActOnOpenMPAssumesDirective(SourceLocation Loc,
OpenMPDirectiveKind DKind,
ArrayRef<std::string> Assumptions,
bool SkippedClauses);
/// Check if there is an active global `omp begin assumes` directive.
bool isInOpenMPAssumeScope() const { return !OMPAssumeScoped.empty(); }
/// Check if there is an active global `omp assumes` directive.
bool hasGlobalOpenMPAssumes() const { return !OMPAssumeGlobal.empty(); }
/// Called on well-formed '#pragma omp end assumes'.
void ActOnOpenMPEndAssumesDirective();
/// Called on well-formed '#pragma omp requires'.
DeclGroupPtrTy ActOnOpenMPRequiresDirective(SourceLocation Loc,
ArrayRef<OMPClause *> ClauseList);
/// Check restrictions on Requires directive
OMPRequiresDecl *CheckOMPRequiresDecl(SourceLocation Loc,
ArrayRef<OMPClause *> Clauses);
/// Check if the specified type is allowed to be used in 'omp declare
/// reduction' construct.
QualType ActOnOpenMPDeclareReductionType(SourceLocation TyLoc,
TypeResult ParsedType);
/// Called on start of '#pragma omp declare reduction'.
DeclGroupPtrTy ActOnOpenMPDeclareReductionDirectiveStart(
Scope *S, DeclContext *DC, DeclarationName Name,
ArrayRef<std::pair<QualType, SourceLocation>> ReductionTypes,
AccessSpecifier AS, Decl *PrevDeclInScope = nullptr);
/// Initialize declare reduction construct initializer.
void ActOnOpenMPDeclareReductionCombinerStart(Scope *S, Decl *D);
/// Finish current declare reduction construct initializer.
void ActOnOpenMPDeclareReductionCombinerEnd(Decl *D, Expr *Combiner);
/// Initialize declare reduction construct initializer.
/// \return omp_priv variable.
VarDecl *ActOnOpenMPDeclareReductionInitializerStart(Scope *S, Decl *D);
/// Finish current declare reduction construct initializer.
void ActOnOpenMPDeclareReductionInitializerEnd(Decl *D, Expr *Initializer,
VarDecl *OmpPrivParm);
/// Called at the end of '#pragma omp declare reduction'.
DeclGroupPtrTy ActOnOpenMPDeclareReductionDirectiveEnd(
Scope *S, DeclGroupPtrTy DeclReductions, bool IsValid);
/// Check variable declaration in 'omp declare mapper' construct.
TypeResult ActOnOpenMPDeclareMapperVarDecl(Scope *S, Declarator &D);
/// Check if the specified type is allowed to be used in 'omp declare
/// mapper' construct.
QualType ActOnOpenMPDeclareMapperType(SourceLocation TyLoc,
TypeResult ParsedType);
/// Called on start of '#pragma omp declare mapper'.
DeclGroupPtrTy ActOnOpenMPDeclareMapperDirective(
Scope *S, DeclContext *DC, DeclarationName Name, QualType MapperType,
SourceLocation StartLoc, DeclarationName VN, AccessSpecifier AS,
Expr *MapperVarRef, ArrayRef<OMPClause *> Clauses,
Decl *PrevDeclInScope = nullptr);
/// Build the mapper variable of '#pragma omp declare mapper'.
ExprResult ActOnOpenMPDeclareMapperDirectiveVarDecl(Scope *S,
QualType MapperType,
SourceLocation StartLoc,
DeclarationName VN);
bool isOpenMPDeclareMapperVarDeclAllowed(const VarDecl *VD) const;
const ValueDecl *getOpenMPDeclareMapperVarName() const;
/// Called on the start of target region i.e. '#pragma omp declare target'.
bool ActOnStartOpenMPDeclareTargetContext(DeclareTargetContextInfo &DTCI);
/// Called at the end of target region i.e. '#pragma omp end declare target'.
const DeclareTargetContextInfo ActOnOpenMPEndDeclareTargetDirective();
/// Called once a target context is completed, that can be when a
/// '#pragma omp end declare target' was encountered or when a
/// '#pragma omp declare target' without declaration-definition-seq was
/// encountered.
void ActOnFinishedOpenMPDeclareTargetContext(DeclareTargetContextInfo &DTCI);
/// Searches for the provided declaration name for OpenMP declare target
/// directive.
NamedDecl *lookupOpenMPDeclareTargetName(Scope *CurScope,
CXXScopeSpec &ScopeSpec,
const DeclarationNameInfo &Id);
/// Called on correct id-expression from the '#pragma omp declare target'.
void ActOnOpenMPDeclareTargetName(NamedDecl *ND, SourceLocation Loc,
OMPDeclareTargetDeclAttr::MapTypeTy MT,
OMPDeclareTargetDeclAttr::DevTypeTy DT);
/// Check declaration inside target region.
void
checkDeclIsAllowedInOpenMPTarget(Expr *E, Decl *D,
SourceLocation IdLoc = SourceLocation());
/// Finishes analysis of the deferred functions calls that may be declared as
/// host/nohost during device/host compilation.
void finalizeOpenMPDelayedAnalysis(const FunctionDecl *Caller,
const FunctionDecl *Callee,
SourceLocation Loc);
/// Return true inside OpenMP declare target region.
bool isInOpenMPDeclareTargetContext() const {
return !DeclareTargetNesting.empty();
}
/// Return true inside OpenMP target region.
bool isInOpenMPTargetExecutionDirective() const;
/// Return the number of captured regions created for an OpenMP directive.
static int getOpenMPCaptureLevels(OpenMPDirectiveKind Kind);
/// Initialization of captured region for OpenMP region.
void ActOnOpenMPRegionStart(OpenMPDirectiveKind DKind, Scope *CurScope);
/// Called for syntactical loops (ForStmt or CXXForRangeStmt) associated to
/// an OpenMP loop directive.
StmtResult ActOnOpenMPCanonicalLoop(Stmt *AStmt);
/// Process a canonical OpenMP loop nest that can either be a canonical
/// literal loop (ForStmt or CXXForRangeStmt), or the generated loop of an
/// OpenMP loop transformation construct.
StmtResult ActOnOpenMPLoopnest(Stmt *AStmt);
/// End of OpenMP region.
///
/// \param S Statement associated with the current OpenMP region.
/// \param Clauses List of clauses for the current OpenMP region.
///
/// \returns Statement for finished OpenMP region.
StmtResult ActOnOpenMPRegionEnd(StmtResult S, ArrayRef<OMPClause *> Clauses);
StmtResult ActOnOpenMPExecutableDirective(
OpenMPDirectiveKind Kind, const DeclarationNameInfo &DirName,
OpenMPDirectiveKind CancelRegion, ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc, SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp parallel' after parsing
/// of the associated statement.
StmtResult ActOnOpenMPParallelDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt,
SourceLocation StartLoc,
SourceLocation EndLoc);
using VarsWithInheritedDSAType =
llvm::SmallDenseMap<const ValueDecl *, const Expr *, 4>;
/// Called on well-formed '\#pragma omp simd' after parsing
/// of the associated statement.
StmtResult
ActOnOpenMPSimdDirective(ArrayRef<OMPClause *> Clauses, Stmt *AStmt,
SourceLocation StartLoc, SourceLocation EndLoc,
VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '#pragma omp tile' after parsing of its clauses and
/// the associated statement.
StmtResult ActOnOpenMPTileDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '#pragma omp unroll' after parsing of its clauses
/// and the associated statement.
StmtResult ActOnOpenMPUnrollDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp for' after parsing
/// of the associated statement.
StmtResult
ActOnOpenMPForDirective(ArrayRef<OMPClause *> Clauses, Stmt *AStmt,
SourceLocation StartLoc, SourceLocation EndLoc,
VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp for simd' after parsing
/// of the associated statement.
StmtResult
ActOnOpenMPForSimdDirective(ArrayRef<OMPClause *> Clauses, Stmt *AStmt,
SourceLocation StartLoc, SourceLocation EndLoc,
VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp sections' after parsing
/// of the associated statement.
StmtResult ActOnOpenMPSectionsDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp section' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPSectionDirective(Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp single' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPSingleDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp master' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPMasterDirective(Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp critical' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPCriticalDirective(const DeclarationNameInfo &DirName,
ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp parallel for' after parsing
/// of the associated statement.
StmtResult ActOnOpenMPParallelForDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp parallel for simd' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPParallelForSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp parallel master' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPParallelMasterDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt,
SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp parallel sections' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPParallelSectionsDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt,
SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp task' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPTaskDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp taskyield'.
StmtResult ActOnOpenMPTaskyieldDirective(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp barrier'.
StmtResult ActOnOpenMPBarrierDirective(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp taskwait'.
StmtResult ActOnOpenMPTaskwaitDirective(ArrayRef<OMPClause *> Clauses,
SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp taskgroup'.
StmtResult ActOnOpenMPTaskgroupDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp flush'.
StmtResult ActOnOpenMPFlushDirective(ArrayRef<OMPClause *> Clauses,
SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp depobj'.
StmtResult ActOnOpenMPDepobjDirective(ArrayRef<OMPClause *> Clauses,
SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp scan'.
StmtResult ActOnOpenMPScanDirective(ArrayRef<OMPClause *> Clauses,
SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp ordered' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPOrderedDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp atomic' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPAtomicDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp target' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPTargetDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp target data' after parsing of
/// the associated statement.
StmtResult ActOnOpenMPTargetDataDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp target enter data' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPTargetEnterDataDirective(ArrayRef<OMPClause *> Clauses,
SourceLocation StartLoc,
SourceLocation EndLoc,
Stmt *AStmt);
/// Called on well-formed '\#pragma omp target exit data' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPTargetExitDataDirective(ArrayRef<OMPClause *> Clauses,
SourceLocation StartLoc,
SourceLocation EndLoc,
Stmt *AStmt);
/// Called on well-formed '\#pragma omp target parallel' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPTargetParallelDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt,
SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp target parallel for' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPTargetParallelForDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp teams' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPTeamsDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp cancellation point'.
StmtResult
ActOnOpenMPCancellationPointDirective(SourceLocation StartLoc,
SourceLocation EndLoc,
OpenMPDirectiveKind CancelRegion);
/// Called on well-formed '\#pragma omp cancel'.
StmtResult ActOnOpenMPCancelDirective(ArrayRef<OMPClause *> Clauses,
SourceLocation StartLoc,
SourceLocation EndLoc,
OpenMPDirectiveKind CancelRegion);
/// Called on well-formed '\#pragma omp taskloop' after parsing of the
/// associated statement.
StmtResult
ActOnOpenMPTaskLoopDirective(ArrayRef<OMPClause *> Clauses, Stmt *AStmt,
SourceLocation StartLoc, SourceLocation EndLoc,
VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp taskloop simd' after parsing of
/// the associated statement.
StmtResult ActOnOpenMPTaskLoopSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp master taskloop' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPMasterTaskLoopDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp master taskloop simd' after parsing of
/// the associated statement.
StmtResult ActOnOpenMPMasterTaskLoopSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp parallel master taskloop' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPParallelMasterTaskLoopDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp parallel master taskloop simd' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPParallelMasterTaskLoopSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp distribute' after parsing
/// of the associated statement.
StmtResult
ActOnOpenMPDistributeDirective(ArrayRef<OMPClause *> Clauses, Stmt *AStmt,
SourceLocation StartLoc, SourceLocation EndLoc,
VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp target update'.
StmtResult ActOnOpenMPTargetUpdateDirective(ArrayRef<OMPClause *> Clauses,
SourceLocation StartLoc,
SourceLocation EndLoc,
Stmt *AStmt);
/// Called on well-formed '\#pragma omp distribute parallel for' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPDistributeParallelForDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp distribute parallel for simd'
/// after parsing of the associated statement.
StmtResult ActOnOpenMPDistributeParallelForSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp distribute simd' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPDistributeSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp target parallel for simd' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPTargetParallelForSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp target simd' after parsing of
/// the associated statement.
StmtResult
ActOnOpenMPTargetSimdDirective(ArrayRef<OMPClause *> Clauses, Stmt *AStmt,
SourceLocation StartLoc, SourceLocation EndLoc,
VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp teams distribute' after parsing of
/// the associated statement.
StmtResult ActOnOpenMPTeamsDistributeDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp teams distribute simd' after parsing
/// of the associated statement.
StmtResult ActOnOpenMPTeamsDistributeSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp teams distribute parallel for simd'
/// after parsing of the associated statement.
StmtResult ActOnOpenMPTeamsDistributeParallelForSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp teams distribute parallel for'
/// after parsing of the associated statement.
StmtResult ActOnOpenMPTeamsDistributeParallelForDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp target teams' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPTargetTeamsDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt,
SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp target teams distribute' after parsing
/// of the associated statement.
StmtResult ActOnOpenMPTargetTeamsDistributeDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp target teams distribute parallel for'
/// after parsing of the associated statement.
StmtResult ActOnOpenMPTargetTeamsDistributeParallelForDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp target teams distribute parallel for
/// simd' after parsing of the associated statement.
StmtResult ActOnOpenMPTargetTeamsDistributeParallelForSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp target teams distribute simd' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPTargetTeamsDistributeSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp interop'.
StmtResult ActOnOpenMPInteropDirective(ArrayRef<OMPClause *> Clauses,
SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp dispatch' after parsing of the
// /associated statement.
StmtResult ActOnOpenMPDispatchDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp masked' after parsing of the
// /associated statement.
StmtResult ActOnOpenMPMaskedDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp loop' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPGenericLoopDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Checks correctness of linear modifiers.
bool CheckOpenMPLinearModifier(OpenMPLinearClauseKind LinKind,
SourceLocation LinLoc);
/// Checks that the specified declaration matches requirements for the linear
/// decls.
bool CheckOpenMPLinearDecl(const ValueDecl *D, SourceLocation ELoc,
OpenMPLinearClauseKind LinKind, QualType Type,
bool IsDeclareSimd = false);
/// Called on well-formed '\#pragma omp declare simd' after parsing of
/// the associated method/function.
DeclGroupPtrTy ActOnOpenMPDeclareSimdDirective(
DeclGroupPtrTy DG, OMPDeclareSimdDeclAttr::BranchStateTy BS,
Expr *Simdlen, ArrayRef<Expr *> Uniforms, ArrayRef<Expr *> Aligneds,
ArrayRef<Expr *> Alignments, ArrayRef<Expr *> Linears,
ArrayRef<unsigned> LinModifiers, ArrayRef<Expr *> Steps, SourceRange SR);
/// Checks '\#pragma omp declare variant' variant function and original
/// functions after parsing of the associated method/function.
/// \param DG Function declaration to which declare variant directive is
/// applied to.
/// \param VariantRef Expression that references the variant function, which
/// must be used instead of the original one, specified in \p DG.
/// \param TI The trait info object representing the match clause.
/// \param NumAppendArgs The number of omp_interop_t arguments to account for
/// in checking.
/// \returns None, if the function/variant function are not compatible with
/// the pragma, pair of original function/variant ref expression otherwise.
Optional<std::pair<FunctionDecl *, Expr *>>
checkOpenMPDeclareVariantFunction(DeclGroupPtrTy DG, Expr *VariantRef,
OMPTraitInfo &TI, unsigned NumAppendArgs,
SourceRange SR);
/// Called on well-formed '\#pragma omp declare variant' after parsing of
/// the associated method/function.
/// \param FD Function declaration to which declare variant directive is
/// applied to.
/// \param VariantRef Expression that references the variant function, which
/// must be used instead of the original one, specified in \p DG.
/// \param TI The context traits associated with the function variant.
/// \param AdjustArgsNothing The list of 'nothing' arguments.
/// \param AdjustArgsNeedDevicePtr The list of 'need_device_ptr' arguments.
/// \param AppendArgs The list of 'append_args' arguments.
/// \param AdjustArgsLoc The Location of an 'adjust_args' clause.
/// \param AppendArgsLoc The Location of an 'append_args' clause.
/// \param SR The SourceRange of the 'declare variant' directive.
void ActOnOpenMPDeclareVariantDirective(
FunctionDecl *FD, Expr *VariantRef, OMPTraitInfo &TI,
ArrayRef<Expr *> AdjustArgsNothing,
ArrayRef<Expr *> AdjustArgsNeedDevicePtr,
ArrayRef<OMPDeclareVariantAttr::InteropType> AppendArgs,
SourceLocation AdjustArgsLoc, SourceLocation AppendArgsLoc,
SourceRange SR);
OMPClause *ActOnOpenMPSingleExprClause(OpenMPClauseKind Kind,
Expr *Expr,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'allocator' clause.
OMPClause *ActOnOpenMPAllocatorClause(Expr *Allocator,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'if' clause.
OMPClause *ActOnOpenMPIfClause(OpenMPDirectiveKind NameModifier,
Expr *Condition, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation NameModifierLoc,
SourceLocation ColonLoc,
SourceLocation EndLoc);
/// Called on well-formed 'final' clause.
OMPClause *ActOnOpenMPFinalClause(Expr *Condition, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'num_threads' clause.
OMPClause *ActOnOpenMPNumThreadsClause(Expr *NumThreads,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'align' clause.
OMPClause *ActOnOpenMPAlignClause(Expr *Alignment, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'safelen' clause.
OMPClause *ActOnOpenMPSafelenClause(Expr *Length,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'simdlen' clause.
OMPClause *ActOnOpenMPSimdlenClause(Expr *Length, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-form 'sizes' clause.
OMPClause *ActOnOpenMPSizesClause(ArrayRef<Expr *> SizeExprs,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-form 'full' clauses.
OMPClause *ActOnOpenMPFullClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-form 'partial' clauses.
OMPClause *ActOnOpenMPPartialClause(Expr *FactorExpr, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'collapse' clause.
OMPClause *ActOnOpenMPCollapseClause(Expr *NumForLoops,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'ordered' clause.
OMPClause *
ActOnOpenMPOrderedClause(SourceLocation StartLoc, SourceLocation EndLoc,
SourceLocation LParenLoc = SourceLocation(),
Expr *NumForLoops = nullptr);
/// Called on well-formed 'grainsize' clause.
OMPClause *ActOnOpenMPGrainsizeClause(Expr *Size, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'num_tasks' clause.
OMPClause *ActOnOpenMPNumTasksClause(Expr *NumTasks, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'hint' clause.
OMPClause *ActOnOpenMPHintClause(Expr *Hint, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'detach' clause.
OMPClause *ActOnOpenMPDetachClause(Expr *Evt, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
OMPClause *ActOnOpenMPSimpleClause(OpenMPClauseKind Kind,
unsigned Argument,
SourceLocation ArgumentLoc,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'when' clause.
OMPClause *ActOnOpenMPWhenClause(OMPTraitInfo &TI, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'default' clause.
OMPClause *ActOnOpenMPDefaultClause(llvm::omp::DefaultKind Kind,
SourceLocation KindLoc,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'proc_bind' clause.
OMPClause *ActOnOpenMPProcBindClause(llvm::omp::ProcBindKind Kind,
SourceLocation KindLoc,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'order' clause.
OMPClause *ActOnOpenMPOrderClause(OpenMPOrderClauseKind Kind,
SourceLocation KindLoc,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'update' clause.
OMPClause *ActOnOpenMPUpdateClause(OpenMPDependClauseKind Kind,
SourceLocation KindLoc,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
OMPClause *ActOnOpenMPSingleExprWithArgClause(
OpenMPClauseKind Kind, ArrayRef<unsigned> Arguments, Expr *Expr,
SourceLocation StartLoc, SourceLocation LParenLoc,
ArrayRef<SourceLocation> ArgumentsLoc, SourceLocation DelimLoc,
SourceLocation EndLoc);
/// Called on well-formed 'schedule' clause.
OMPClause *ActOnOpenMPScheduleClause(
OpenMPScheduleClauseModifier M1, OpenMPScheduleClauseModifier M2,
OpenMPScheduleClauseKind Kind, Expr *ChunkSize, SourceLocation StartLoc,
SourceLocation LParenLoc, SourceLocation M1Loc, SourceLocation M2Loc,
SourceLocation KindLoc, SourceLocation CommaLoc, SourceLocation EndLoc);
OMPClause *ActOnOpenMPClause(OpenMPClauseKind Kind, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'nowait' clause.
OMPClause *ActOnOpenMPNowaitClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'untied' clause.
OMPClause *ActOnOpenMPUntiedClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'mergeable' clause.
OMPClause *ActOnOpenMPMergeableClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'read' clause.
OMPClause *ActOnOpenMPReadClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'write' clause.
OMPClause *ActOnOpenMPWriteClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'update' clause.
OMPClause *ActOnOpenMPUpdateClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'capture' clause.
OMPClause *ActOnOpenMPCaptureClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'seq_cst' clause.
OMPClause *ActOnOpenMPSeqCstClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'acq_rel' clause.
OMPClause *ActOnOpenMPAcqRelClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'acquire' clause.
OMPClause *ActOnOpenMPAcquireClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'release' clause.
OMPClause *ActOnOpenMPReleaseClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'relaxed' clause.
OMPClause *ActOnOpenMPRelaxedClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'init' clause.
OMPClause *ActOnOpenMPInitClause(Expr *InteropVar, ArrayRef<Expr *> PrefExprs,
bool IsTarget, bool IsTargetSync,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation VarLoc,
SourceLocation EndLoc);
/// Called on well-formed 'use' clause.
OMPClause *ActOnOpenMPUseClause(Expr *InteropVar, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation VarLoc, SourceLocation EndLoc);
/// Called on well-formed 'destroy' clause.
OMPClause *ActOnOpenMPDestroyClause(Expr *InteropVar, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation VarLoc,
SourceLocation EndLoc);
/// Called on well-formed 'novariants' clause.
OMPClause *ActOnOpenMPNovariantsClause(Expr *Condition,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'nocontext' clause.
OMPClause *ActOnOpenMPNocontextClause(Expr *Condition,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'filter' clause.
OMPClause *ActOnOpenMPFilterClause(Expr *ThreadID, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'threads' clause.
OMPClause *ActOnOpenMPThreadsClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'simd' clause.
OMPClause *ActOnOpenMPSIMDClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'nogroup' clause.
OMPClause *ActOnOpenMPNogroupClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'unified_address' clause.
OMPClause *ActOnOpenMPUnifiedAddressClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'unified_address' clause.
OMPClause *ActOnOpenMPUnifiedSharedMemoryClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'reverse_offload' clause.
OMPClause *ActOnOpenMPReverseOffloadClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'dynamic_allocators' clause.
OMPClause *ActOnOpenMPDynamicAllocatorsClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'atomic_default_mem_order' clause.
OMPClause *ActOnOpenMPAtomicDefaultMemOrderClause(
OpenMPAtomicDefaultMemOrderClauseKind Kind, SourceLocation KindLoc,
SourceLocation StartLoc, SourceLocation LParenLoc, SourceLocation EndLoc);
OMPClause *ActOnOpenMPVarListClause(
OpenMPClauseKind Kind, ArrayRef<Expr *> Vars, Expr *DepModOrTailExpr,
const OMPVarListLocTy &Locs, SourceLocation ColonLoc,
CXXScopeSpec &ReductionOrMapperIdScopeSpec,
DeclarationNameInfo &ReductionOrMapperId, int ExtraModifier,
ArrayRef<OpenMPMapModifierKind> MapTypeModifiers,
ArrayRef<SourceLocation> MapTypeModifiersLoc, bool IsMapTypeImplicit,
SourceLocation ExtraModifierLoc,
ArrayRef<OpenMPMotionModifierKind> MotionModifiers,
ArrayRef<SourceLocation> MotionModifiersLoc);
/// Called on well-formed 'inclusive' clause.
OMPClause *ActOnOpenMPInclusiveClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'exclusive' clause.
OMPClause *ActOnOpenMPExclusiveClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'allocate' clause.
OMPClause *
ActOnOpenMPAllocateClause(Expr *Allocator, ArrayRef<Expr *> VarList,
SourceLocation StartLoc, SourceLocation ColonLoc,
SourceLocation LParenLoc, SourceLocation EndLoc);
/// Called on well-formed 'private' clause.
OMPClause *ActOnOpenMPPrivateClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'firstprivate' clause.
OMPClause *ActOnOpenMPFirstprivateClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'lastprivate' clause.
OMPClause *ActOnOpenMPLastprivateClause(
ArrayRef<Expr *> VarList, OpenMPLastprivateModifier LPKind,
SourceLocation LPKindLoc, SourceLocation ColonLoc,
SourceLocation StartLoc, SourceLocation LParenLoc, SourceLocation EndLoc);
/// Called on well-formed 'shared' clause.
OMPClause *ActOnOpenMPSharedClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'reduction' clause.
OMPClause *ActOnOpenMPReductionClause(
ArrayRef<Expr *> VarList, OpenMPReductionClauseModifier Modifier,
SourceLocation StartLoc, SourceLocation LParenLoc,
SourceLocation ModifierLoc, SourceLocation ColonLoc,
SourceLocation EndLoc, CXXScopeSpec &ReductionIdScopeSpec,
const DeclarationNameInfo &ReductionId,
ArrayRef<Expr *> UnresolvedReductions = llvm::None);
/// Called on well-formed 'task_reduction' clause.
OMPClause *ActOnOpenMPTaskReductionClause(
ArrayRef<Expr *> VarList, SourceLocation StartLoc,
SourceLocation LParenLoc, SourceLocation ColonLoc, SourceLocation EndLoc,
CXXScopeSpec &ReductionIdScopeSpec,
const DeclarationNameInfo &ReductionId,
ArrayRef<Expr *> UnresolvedReductions = llvm::None);
/// Called on well-formed 'in_reduction' clause.
OMPClause *ActOnOpenMPInReductionClause(
ArrayRef<Expr *> VarList, SourceLocation StartLoc,
SourceLocation LParenLoc, SourceLocation ColonLoc, SourceLocation EndLoc,
CXXScopeSpec &ReductionIdScopeSpec,
const DeclarationNameInfo &ReductionId,
ArrayRef<Expr *> UnresolvedReductions = llvm::None);
/// Called on well-formed 'linear' clause.
OMPClause *
ActOnOpenMPLinearClause(ArrayRef<Expr *> VarList, Expr *Step,
SourceLocation StartLoc, SourceLocation LParenLoc,
OpenMPLinearClauseKind LinKind, SourceLocation LinLoc,
SourceLocation ColonLoc, SourceLocation EndLoc);
/// Called on well-formed 'aligned' clause.
OMPClause *ActOnOpenMPAlignedClause(ArrayRef<Expr *> VarList,
Expr *Alignment,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation ColonLoc,
SourceLocation EndLoc);
/// Called on well-formed 'copyin' clause.
OMPClause *ActOnOpenMPCopyinClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'copyprivate' clause.
OMPClause *ActOnOpenMPCopyprivateClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'flush' pseudo clause.
OMPClause *ActOnOpenMPFlushClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'depobj' pseudo clause.
OMPClause *ActOnOpenMPDepobjClause(Expr *Depobj, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'depend' clause.
OMPClause *
ActOnOpenMPDependClause(Expr *DepModifier, OpenMPDependClauseKind DepKind,
SourceLocation DepLoc, SourceLocation ColonLoc,
ArrayRef<Expr *> VarList, SourceLocation StartLoc,
SourceLocation LParenLoc, SourceLocation EndLoc);
/// Called on well-formed 'device' clause.
OMPClause *ActOnOpenMPDeviceClause(OpenMPDeviceClauseModifier Modifier,
Expr *Device, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation ModifierLoc,
SourceLocation EndLoc);
/// Called on well-formed 'map' clause.
OMPClause *ActOnOpenMPMapClause(
ArrayRef<OpenMPMapModifierKind> MapTypeModifiers,
ArrayRef<SourceLocation> MapTypeModifiersLoc,
CXXScopeSpec &MapperIdScopeSpec, DeclarationNameInfo &MapperId,
OpenMPMapClauseKind MapType, bool IsMapTypeImplicit,
SourceLocation MapLoc, SourceLocation ColonLoc, ArrayRef<Expr *> VarList,
const OMPVarListLocTy &Locs, bool NoDiagnose = false,
ArrayRef<Expr *> UnresolvedMappers = llvm::None);
/// Called on well-formed 'num_teams' clause.
OMPClause *ActOnOpenMPNumTeamsClause(Expr *NumTeams, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'thread_limit' clause.
OMPClause *ActOnOpenMPThreadLimitClause(Expr *ThreadLimit,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'priority' clause.
OMPClause *ActOnOpenMPPriorityClause(Expr *Priority, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'dist_schedule' clause.
OMPClause *ActOnOpenMPDistScheduleClause(
OpenMPDistScheduleClauseKind Kind, Expr *ChunkSize,
SourceLocation StartLoc, SourceLocation LParenLoc, SourceLocation KindLoc,
SourceLocation CommaLoc, SourceLocation EndLoc);
/// Called on well-formed 'defaultmap' clause.
OMPClause *ActOnOpenMPDefaultmapClause(
OpenMPDefaultmapClauseModifier M, OpenMPDefaultmapClauseKind Kind,
SourceLocation StartLoc, SourceLocation LParenLoc, SourceLocation MLoc,
SourceLocation KindLoc, SourceLocation EndLoc);
/// Called on well-formed 'to' clause.
OMPClause *
ActOnOpenMPToClause(ArrayRef<OpenMPMotionModifierKind> MotionModifiers,
ArrayRef<SourceLocation> MotionModifiersLoc,
CXXScopeSpec &MapperIdScopeSpec,
DeclarationNameInfo &MapperId, SourceLocation ColonLoc,
ArrayRef<Expr *> VarList, const OMPVarListLocTy &Locs,
ArrayRef<Expr *> UnresolvedMappers = llvm::None);
/// Called on well-formed 'from' clause.
OMPClause *
ActOnOpenMPFromClause(ArrayRef<OpenMPMotionModifierKind> MotionModifiers,
ArrayRef<SourceLocation> MotionModifiersLoc,
CXXScopeSpec &MapperIdScopeSpec,
DeclarationNameInfo &MapperId, SourceLocation ColonLoc,
ArrayRef<Expr *> VarList, const OMPVarListLocTy &Locs,
ArrayRef<Expr *> UnresolvedMappers = llvm::None);
/// Called on well-formed 'use_device_ptr' clause.
OMPClause *ActOnOpenMPUseDevicePtrClause(ArrayRef<Expr *> VarList,
const OMPVarListLocTy &Locs);
/// Called on well-formed 'use_device_addr' clause.
OMPClause *ActOnOpenMPUseDeviceAddrClause(ArrayRef<Expr *> VarList,
const OMPVarListLocTy &Locs);
/// Called on well-formed 'is_device_ptr' clause.
OMPClause *ActOnOpenMPIsDevicePtrClause(ArrayRef<Expr *> VarList,
const OMPVarListLocTy &Locs);
/// Called on well-formed 'nontemporal' clause.
OMPClause *ActOnOpenMPNontemporalClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Data for list of allocators.
struct UsesAllocatorsData {
/// Allocator.
Expr *Allocator = nullptr;
/// Allocator traits.
Expr *AllocatorTraits = nullptr;
/// Locations of '(' and ')' symbols.
SourceLocation LParenLoc, RParenLoc;
};
/// Called on well-formed 'uses_allocators' clause.
OMPClause *ActOnOpenMPUsesAllocatorClause(SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc,
ArrayRef<UsesAllocatorsData> Data);
/// Called on well-formed 'affinity' clause.
OMPClause *ActOnOpenMPAffinityClause(SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation ColonLoc,
SourceLocation EndLoc, Expr *Modifier,
ArrayRef<Expr *> Locators);
/// Called on a well-formed 'bind' clause.
OMPClause *ActOnOpenMPBindClause(OpenMPBindClauseKind Kind,
SourceLocation KindLoc,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// The kind of conversion being performed.
enum CheckedConversionKind {
/// An implicit conversion.
CCK_ImplicitConversion,
/// A C-style cast.
CCK_CStyleCast,
/// A functional-style cast.
CCK_FunctionalCast,
/// A cast other than a C-style cast.
CCK_OtherCast,
/// A conversion for an operand of a builtin overloaded operator.
CCK_ForBuiltinOverloadedOp
};
static bool isCast(CheckedConversionKind CCK) {
return CCK == CCK_CStyleCast || CCK == CCK_FunctionalCast ||
CCK == CCK_OtherCast;
}
/// ImpCastExprToType - If Expr is not of type 'Type', insert an implicit
/// cast. If there is already an implicit cast, merge into the existing one.
/// If isLvalue, the result of the cast is an lvalue.
ExprResult
ImpCastExprToType(Expr *E, QualType Type, CastKind CK,
ExprValueKind VK = VK_PRValue,
const CXXCastPath *BasePath = nullptr,
CheckedConversionKind CCK = CCK_ImplicitConversion);
/// ScalarTypeToBooleanCastKind - Returns the cast kind corresponding
/// to the conversion from scalar type ScalarTy to the Boolean type.
static CastKind ScalarTypeToBooleanCastKind(QualType ScalarTy);
/// IgnoredValueConversions - Given that an expression's result is
/// syntactically ignored, perform any conversions that are
/// required.
ExprResult IgnoredValueConversions(Expr *E);
// UsualUnaryConversions - promotes integers (C99 6.3.1.1p2) and converts
// functions and arrays to their respective pointers (C99 6.3.2.1).
ExprResult UsualUnaryConversions(Expr *E);
/// CallExprUnaryConversions - a special case of an unary conversion
/// performed on a function designator of a call expression.
ExprResult CallExprUnaryConversions(Expr *E);
// DefaultFunctionArrayConversion - converts functions and arrays
// to their respective pointers (C99 6.3.2.1).
ExprResult DefaultFunctionArrayConversion(Expr *E, bool Diagnose = true);
// DefaultFunctionArrayLvalueConversion - converts functions and
// arrays to their respective pointers and performs the
// lvalue-to-rvalue conversion.
ExprResult DefaultFunctionArrayLvalueConversion(Expr *E,
bool Diagnose = true);
// DefaultLvalueConversion - performs lvalue-to-rvalue conversion on
// the operand. This function is a no-op if the operand has a function type
// or an array type.
ExprResult DefaultLvalueConversion(Expr *E);
// DefaultArgumentPromotion (C99 6.5.2.2p6). Used for function calls that
// do not have a prototype. Integer promotions are performed on each
// argument, and arguments that have type float are promoted to double.
ExprResult DefaultArgumentPromotion(Expr *E);
/// If \p E is a prvalue denoting an unmaterialized temporary, materialize
/// it as an xvalue. In C++98, the result will still be a prvalue, because
/// we don't have xvalues there.
ExprResult TemporaryMaterializationConversion(Expr *E);
// Used for emitting the right warning by DefaultVariadicArgumentPromotion
enum VariadicCallType {
VariadicFunction,
VariadicBlock,
VariadicMethod,
VariadicConstructor,
VariadicDoesNotApply
};
VariadicCallType getVariadicCallType(FunctionDecl *FDecl,
const FunctionProtoType *Proto,
Expr *Fn);
// Used for determining in which context a type is allowed to be passed to a
// vararg function.
enum VarArgKind {
VAK_Valid,
VAK_ValidInCXX11,
VAK_Undefined,
VAK_MSVCUndefined,
VAK_Invalid
};
// Determines which VarArgKind fits an expression.
VarArgKind isValidVarArgType(const QualType &Ty);
/// Check to see if the given expression is a valid argument to a variadic
/// function, issuing a diagnostic if not.
void checkVariadicArgument(const Expr *E, VariadicCallType CT);
/// Check whether the given statement can have musttail applied to it,
/// issuing a diagnostic and returning false if not. In the success case,
/// the statement is rewritten to remove implicit nodes from the return
/// value.
bool checkAndRewriteMustTailAttr(Stmt *St, const Attr &MTA);
private:
/// Check whether the given statement can have musttail applied to it,
/// issuing a diagnostic and returning false if not.
bool checkMustTailAttr(const Stmt *St, const Attr &MTA);
public:
/// Check to see if a given expression could have '.c_str()' called on it.
bool hasCStrMethod(const Expr *E);
/// GatherArgumentsForCall - Collector argument expressions for various
/// form of call prototypes.
bool GatherArgumentsForCall(SourceLocation CallLoc, FunctionDecl *FDecl,
const FunctionProtoType *Proto,
unsigned FirstParam, ArrayRef<Expr *> Args,
SmallVectorImpl<Expr *> &AllArgs,
VariadicCallType CallType = VariadicDoesNotApply,
bool AllowExplicit = false,
bool IsListInitialization = false);
// DefaultVariadicArgumentPromotion - Like DefaultArgumentPromotion, but
// will create a runtime trap if the resulting type is not a POD type.
ExprResult DefaultVariadicArgumentPromotion(Expr *E, VariadicCallType CT,
FunctionDecl *FDecl);
/// Context in which we're performing a usual arithmetic conversion.
enum ArithConvKind {
/// An arithmetic operation.
ACK_Arithmetic,
/// A bitwise operation.
ACK_BitwiseOp,
/// A comparison.
ACK_Comparison,
/// A conditional (?:) operator.
ACK_Conditional,
/// A compound assignment expression.
ACK_CompAssign,
};
// UsualArithmeticConversions - performs the UsualUnaryConversions on it's
// operands and then handles various conversions that are common to binary
// operators (C99 6.3.1.8). If both operands aren't arithmetic, this
// routine returns the first non-arithmetic type found. The client is
// responsible for emitting appropriate error diagnostics.
QualType UsualArithmeticConversions(ExprResult &LHS, ExprResult &RHS,
SourceLocation Loc, ArithConvKind ACK);
/// AssignConvertType - All of the 'assignment' semantic checks return this
/// enum to indicate whether the assignment was allowed. These checks are
/// done for simple assignments, as well as initialization, return from
/// function, argument passing, etc. The query is phrased in terms of a
/// source and destination type.
enum AssignConvertType {
/// Compatible - the types are compatible according to the standard.
Compatible,
/// PointerToInt - The assignment converts a pointer to an int, which we
/// accept as an extension.
PointerToInt,
/// IntToPointer - The assignment converts an int to a pointer, which we
/// accept as an extension.
IntToPointer,
/// FunctionVoidPointer - The assignment is between a function pointer and
/// void*, which the standard doesn't allow, but we accept as an extension.
FunctionVoidPointer,
/// IncompatiblePointer - The assignment is between two pointers types that
/// are not compatible, but we accept them as an extension.
IncompatiblePointer,
/// IncompatibleFunctionPointer - The assignment is between two function
/// pointers types that are not compatible, but we accept them as an
/// extension.
IncompatibleFunctionPointer,
/// IncompatiblePointerSign - The assignment is between two pointers types
/// which point to integers which have a different sign, but are otherwise
/// identical. This is a subset of the above, but broken out because it's by
/// far the most common case of incompatible pointers.
IncompatiblePointerSign,
/// CompatiblePointerDiscardsQualifiers - The assignment discards
/// c/v/r qualifiers, which we accept as an extension.
CompatiblePointerDiscardsQualifiers,
/// IncompatiblePointerDiscardsQualifiers - The assignment
/// discards qualifiers that we don't permit to be discarded,
/// like address spaces.
IncompatiblePointerDiscardsQualifiers,
/// IncompatibleNestedPointerAddressSpaceMismatch - The assignment
/// changes address spaces in nested pointer types which is not allowed.
/// For instance, converting __private int ** to __generic int ** is
/// illegal even though __private could be converted to __generic.
IncompatibleNestedPointerAddressSpaceMismatch,
/// IncompatibleNestedPointerQualifiers - The assignment is between two
/// nested pointer types, and the qualifiers other than the first two
/// levels differ e.g. char ** -> const char **, but we accept them as an
/// extension.
IncompatibleNestedPointerQualifiers,
/// IncompatibleVectors - The assignment is between two vector types that
/// have the same size, which we accept as an extension.
IncompatibleVectors,
/// IntToBlockPointer - The assignment converts an int to a block
/// pointer. We disallow this.
IntToBlockPointer,
/// IncompatibleBlockPointer - The assignment is between two block
/// pointers types that are not compatible.
IncompatibleBlockPointer,
/// IncompatibleObjCQualifiedId - The assignment is between a qualified
/// id type and something else (that is incompatible with it). For example,
/// "id <XXX>" = "Foo *", where "Foo *" doesn't implement the XXX protocol.
IncompatibleObjCQualifiedId,
/// IncompatibleObjCWeakRef - Assigning a weak-unavailable object to an
/// object with __weak qualifier.
IncompatibleObjCWeakRef,
/// Incompatible - We reject this conversion outright, it is invalid to
/// represent it in the AST.
Incompatible
};
/// DiagnoseAssignmentResult - Emit a diagnostic, if required, for the
/// assignment conversion type specified by ConvTy. This returns true if the
/// conversion was invalid or false if the conversion was accepted.
bool DiagnoseAssignmentResult(AssignConvertType ConvTy,
SourceLocation Loc,
QualType DstType, QualType SrcType,
Expr *SrcExpr, AssignmentAction Action,
bool *Complained = nullptr);
/// IsValueInFlagEnum - Determine if a value is allowed as part of a flag
/// enum. If AllowMask is true, then we also allow the complement of a valid
/// value, to be used as a mask.
bool IsValueInFlagEnum(const EnumDecl *ED, const llvm::APInt &Val,
bool AllowMask) const;
/// DiagnoseAssignmentEnum - Warn if assignment to enum is a constant
/// integer not in the range of enum values.
void DiagnoseAssignmentEnum(QualType DstType, QualType SrcType,
Expr *SrcExpr);
/// CheckAssignmentConstraints - Perform type checking for assignment,
/// argument passing, variable initialization, and function return values.
/// C99 6.5.16.
AssignConvertType CheckAssignmentConstraints(SourceLocation Loc,
QualType LHSType,
QualType RHSType);
/// Check assignment constraints and optionally prepare for a conversion of
/// the RHS to the LHS type. The conversion is prepared for if ConvertRHS
/// is true.
AssignConvertType CheckAssignmentConstraints(QualType LHSType,
ExprResult &RHS,
CastKind &Kind,
bool ConvertRHS = true);
/// Check assignment constraints for an assignment of RHS to LHSType.
///
/// \param LHSType The destination type for the assignment.
/// \param RHS The source expression for the assignment.
/// \param Diagnose If \c true, diagnostics may be produced when checking
/// for assignability. If a diagnostic is produced, \p RHS will be
/// set to ExprError(). Note that this function may still return
/// without producing a diagnostic, even for an invalid assignment.
/// \param DiagnoseCFAudited If \c true, the target is a function parameter
/// in an audited Core Foundation API and does not need to be checked
/// for ARC retain issues.
/// \param ConvertRHS If \c true, \p RHS will be updated to model the
/// conversions necessary to perform the assignment. If \c false,
/// \p Diagnose must also be \c false.
AssignConvertType CheckSingleAssignmentConstraints(
QualType LHSType, ExprResult &RHS, bool Diagnose = true,
bool DiagnoseCFAudited = false, bool ConvertRHS = true);
// If the lhs type is a transparent union, check whether we
// can initialize the transparent union with the given expression.
AssignConvertType CheckTransparentUnionArgumentConstraints(QualType ArgType,
ExprResult &RHS);
bool IsStringLiteralToNonConstPointerConversion(Expr *From, QualType ToType);
bool CheckExceptionSpecCompatibility(Expr *From, QualType ToType);
ExprResult PerformImplicitConversion(Expr *From, QualType ToType,
AssignmentAction Action,
bool AllowExplicit = false);
ExprResult PerformImplicitConversion(Expr *From, QualType ToType,
const ImplicitConversionSequence& ICS,
AssignmentAction Action,
CheckedConversionKind CCK
= CCK_ImplicitConversion);
ExprResult PerformImplicitConversion(Expr *From, QualType ToType,
const StandardConversionSequence& SCS,
AssignmentAction Action,
CheckedConversionKind CCK);
ExprResult PerformQualificationConversion(
Expr *E, QualType Ty, ExprValueKind VK = VK_PRValue,
CheckedConversionKind CCK = CCK_ImplicitConversion);
/// the following "Check" methods will return a valid/converted QualType
/// or a null QualType (indicating an error diagnostic was issued).
/// type checking binary operators (subroutines of CreateBuiltinBinOp).
QualType InvalidOperands(SourceLocation Loc, ExprResult &LHS,
ExprResult &RHS);
QualType InvalidLogicalVectorOperands(SourceLocation Loc, ExprResult &LHS,
ExprResult &RHS);
QualType CheckPointerToMemberOperands( // C++ 5.5
ExprResult &LHS, ExprResult &RHS, ExprValueKind &VK,
SourceLocation OpLoc, bool isIndirect);
QualType CheckMultiplyDivideOperands( // C99 6.5.5
ExprResult &LHS, ExprResult &RHS, SourceLocation Loc, bool IsCompAssign,
bool IsDivide);
QualType CheckRemainderOperands( // C99 6.5.5
ExprResult &LHS, ExprResult &RHS, SourceLocation Loc,
bool IsCompAssign = false);
QualType CheckAdditionOperands( // C99 6.5.6
ExprResult &LHS, ExprResult &RHS, SourceLocation Loc,
BinaryOperatorKind Opc, QualType* CompLHSTy = nullptr);
QualType CheckSubtractionOperands( // C99 6.5.6
ExprResult &LHS, ExprResult &RHS, SourceLocation Loc,
QualType* CompLHSTy = nullptr);
QualType CheckShiftOperands( // C99 6.5.7
ExprResult &LHS, ExprResult &RHS, SourceLocation Loc,
BinaryOperatorKind Opc, bool IsCompAssign = false);
void CheckPtrComparisonWithNullChar(ExprResult &E, ExprResult &NullE);
QualType CheckCompareOperands( // C99 6.5.8/9
ExprResult &LHS, ExprResult &RHS, SourceLocation Loc,
BinaryOperatorKind Opc);
QualType CheckBitwiseOperands( // C99 6.5.[10...12]
ExprResult &LHS, ExprResult &RHS, SourceLocation Loc,
BinaryOperatorKind Opc);
QualType CheckLogicalOperands( // C99 6.5.[13,14]
ExprResult &LHS, ExprResult &RHS, SourceLocation Loc,
BinaryOperatorKind Opc);
// CheckAssignmentOperands is used for both simple and compound assignment.
// For simple assignment, pass both expressions and a null converted type.
// For compound assignment, pass both expressions and the converted type.
QualType CheckAssignmentOperands( // C99 6.5.16.[1,2]
Expr *LHSExpr, ExprResult &RHS, SourceLocation Loc, QualType CompoundType);
ExprResult checkPseudoObjectIncDec(Scope *S, SourceLocation OpLoc,
UnaryOperatorKind Opcode, Expr *Op);
ExprResult checkPseudoObjectAssignment(Scope *S, SourceLocation OpLoc,
BinaryOperatorKind Opcode,
Expr *LHS, Expr *RHS);
ExprResult checkPseudoObjectRValue(Expr *E);
Expr *recreateSyntacticForm(PseudoObjectExpr *E);
QualType CheckConditionalOperands( // C99 6.5.15
ExprResult &Cond, ExprResult &LHS, ExprResult &RHS,
ExprValueKind &VK, ExprObjectKind &OK, SourceLocation QuestionLoc);
QualType CXXCheckConditionalOperands( // C++ 5.16
ExprResult &cond, ExprResult &lhs, ExprResult &rhs,
ExprValueKind &VK, ExprObjectKind &OK, SourceLocation questionLoc);
QualType CheckVectorConditionalTypes(ExprResult &Cond, ExprResult &LHS,
ExprResult &RHS,
SourceLocation QuestionLoc);
QualType FindCompositePointerType(SourceLocation Loc, Expr *&E1, Expr *&E2,
bool ConvertArgs = true);
QualType FindCompositePointerType(SourceLocation Loc,
ExprResult &E1, ExprResult &E2,
bool ConvertArgs = true) {
Expr *E1Tmp = E1.get(), *E2Tmp = E2.get();
QualType Composite =
FindCompositePointerType(Loc, E1Tmp, E2Tmp, ConvertArgs);
E1 = E1Tmp;
E2 = E2Tmp;
return Composite;
}
QualType FindCompositeObjCPointerType(ExprResult &LHS, ExprResult &RHS,
SourceLocation QuestionLoc);
bool DiagnoseConditionalForNull(Expr *LHSExpr, Expr *RHSExpr,
SourceLocation QuestionLoc);
void DiagnoseAlwaysNonNullPointer(Expr *E,
Expr::NullPointerConstantKind NullType,
bool IsEqual, SourceRange Range);
/// type checking for vector binary operators.
QualType CheckVectorOperands(ExprResult &LHS, ExprResult &RHS,
SourceLocation Loc, bool IsCompAssign,
bool AllowBothBool, bool AllowBoolConversion);
QualType GetSignedVectorType(QualType V);
QualType CheckVectorCompareOperands(ExprResult &LHS, ExprResult &RHS,
SourceLocation Loc,
BinaryOperatorKind Opc);
QualType CheckVectorLogicalOperands(ExprResult &LHS, ExprResult &RHS,
SourceLocation Loc);
/// Type checking for matrix binary operators.
QualType CheckMatrixElementwiseOperands(ExprResult &LHS, ExprResult &RHS,
SourceLocation Loc,
bool IsCompAssign);
QualType CheckMatrixMultiplyOperands(ExprResult &LHS, ExprResult &RHS,
SourceLocation Loc, bool IsCompAssign);
bool isValidSveBitcast(QualType srcType, QualType destType);
bool areMatrixTypesOfTheSameDimension(QualType srcTy, QualType destTy);
bool areVectorTypesSameSize(QualType srcType, QualType destType);
bool areLaxCompatibleVectorTypes(QualType srcType, QualType destType);
bool isLaxVectorConversion(QualType srcType, QualType destType);
/// type checking declaration initializers (C99 6.7.8)
bool CheckForConstantInitializer(Expr *e, QualType t);
// type checking C++ declaration initializers (C++ [dcl.init]).
/// ReferenceCompareResult - Expresses the result of comparing two
/// types (cv1 T1 and cv2 T2) to determine their compatibility for the
/// purposes of initialization by reference (C++ [dcl.init.ref]p4).
enum ReferenceCompareResult {
/// Ref_Incompatible - The two types are incompatible, so direct
/// reference binding is not possible.
Ref_Incompatible = 0,
/// Ref_Related - The two types are reference-related, which means
/// that their unqualified forms (T1 and T2) are either the same
/// or T1 is a base class of T2.
Ref_Related,
/// Ref_Compatible - The two types are reference-compatible.
Ref_Compatible
};
// Fake up a scoped enumeration that still contextually converts to bool.
struct ReferenceConversionsScope {
/// The conversions that would be performed on an lvalue of type T2 when
/// binding a reference of type T1 to it, as determined when evaluating
/// whether T1 is reference-compatible with T2.
enum ReferenceConversions {
Qualification = 0x1,
NestedQualification = 0x2,
Function = 0x4,
DerivedToBase = 0x8,
ObjC = 0x10,
ObjCLifetime = 0x20,
LLVM_MARK_AS_BITMASK_ENUM(/*LargestValue=*/ObjCLifetime)
};
};
using ReferenceConversions = ReferenceConversionsScope::ReferenceConversions;
ReferenceCompareResult
CompareReferenceRelationship(SourceLocation Loc, QualType T1, QualType T2,
ReferenceConversions *Conv = nullptr);
ExprResult checkUnknownAnyCast(SourceRange TypeRange, QualType CastType,
Expr *CastExpr, CastKind &CastKind,
ExprValueKind &VK, CXXCastPath &Path);
/// Force an expression with unknown-type to an expression of the
/// given type.
ExprResult forceUnknownAnyToType(Expr *E, QualType ToType);
/// Type-check an expression that's being passed to an
/// __unknown_anytype parameter.
ExprResult checkUnknownAnyArg(SourceLocation callLoc,
Expr *result, QualType ¶mType);
// CheckMatrixCast - Check type constraints for matrix casts.
// We allow casting between matrixes of the same dimensions i.e. when they
// have the same number of rows and column. Returns true if the cast is
// invalid.
bool CheckMatrixCast(SourceRange R, QualType DestTy, QualType SrcTy,
CastKind &Kind);
// CheckVectorCast - check type constraints for vectors.
// Since vectors are an extension, there are no C standard reference for this.
// We allow casting between vectors and integer datatypes of the same size.
// returns true if the cast is invalid
bool CheckVectorCast(SourceRange R, QualType VectorTy, QualType Ty,
CastKind &Kind);
/// Prepare `SplattedExpr` for a vector splat operation, adding
/// implicit casts if necessary.
ExprResult prepareVectorSplat(QualType VectorTy, Expr *SplattedExpr);
// CheckExtVectorCast - check type constraints for extended vectors.
// Since vectors are an extension, there are no C standard reference for this.
// We allow casting between vectors and integer datatypes of the same size,
// or vectors and the element type of that vector.
// returns the cast expr
ExprResult CheckExtVectorCast(SourceRange R, QualType DestTy, Expr *CastExpr,
CastKind &Kind);
ExprResult BuildCXXFunctionalCastExpr(TypeSourceInfo *TInfo, QualType Type,
SourceLocation LParenLoc,
Expr *CastExpr,
SourceLocation RParenLoc);
enum ARCConversionResult { ACR_okay, ACR_unbridged, ACR_error };
/// Checks for invalid conversions and casts between
/// retainable pointers and other pointer kinds for ARC and Weak.
ARCConversionResult CheckObjCConversion(SourceRange castRange,
QualType castType, Expr *&op,
CheckedConversionKind CCK,
bool Diagnose = true,
bool DiagnoseCFAudited = false,
BinaryOperatorKind Opc = BO_PtrMemD
);
Expr *stripARCUnbridgedCast(Expr *e);
void diagnoseARCUnbridgedCast(Expr *e);
bool CheckObjCARCUnavailableWeakConversion(QualType castType,
QualType ExprType);
/// checkRetainCycles - Check whether an Objective-C message send
/// might create an obvious retain cycle.
void checkRetainCycles(ObjCMessageExpr *msg);
void checkRetainCycles(Expr *receiver, Expr *argument);
void checkRetainCycles(VarDecl *Var, Expr *Init);
/// checkUnsafeAssigns - Check whether +1 expr is being assigned
/// to weak/__unsafe_unretained type.
bool checkUnsafeAssigns(SourceLocation Loc, QualType LHS, Expr *RHS);
/// checkUnsafeExprAssigns - Check whether +1 expr is being assigned
/// to weak/__unsafe_unretained expression.
void checkUnsafeExprAssigns(SourceLocation Loc, Expr *LHS, Expr *RHS);
/// CheckMessageArgumentTypes - Check types in an Obj-C message send.
/// \param Method - May be null.
/// \param [out] ReturnType - The return type of the send.
/// \return true iff there were any incompatible types.
bool CheckMessageArgumentTypes(const Expr *Receiver, QualType ReceiverType,
MultiExprArg Args, Selector Sel,
ArrayRef<SourceLocation> SelectorLocs,
ObjCMethodDecl *Method, bool isClassMessage,
bool isSuperMessage, SourceLocation lbrac,
SourceLocation rbrac, SourceRange RecRange,
QualType &ReturnType, ExprValueKind &VK);
/// Determine the result of a message send expression based on
/// the type of the receiver, the method expected to receive the message,
/// and the form of the message send.
QualType getMessageSendResultType(const Expr *Receiver, QualType ReceiverType,
ObjCMethodDecl *Method, bool isClassMessage,
bool isSuperMessage);
/// If the given expression involves a message send to a method
/// with a related result type, emit a note describing what happened.
void EmitRelatedResultTypeNote(const Expr *E);
/// Given that we had incompatible pointer types in a return
/// statement, check whether we're in a method with a related result
/// type, and if so, emit a note describing what happened.
void EmitRelatedResultTypeNoteForReturn(QualType destType);
class ConditionResult {
Decl *ConditionVar;
FullExprArg Condition;
bool Invalid;
bool HasKnownValue;
bool KnownValue;
friend class Sema;
ConditionResult(Sema &S, Decl *ConditionVar, FullExprArg Condition,
bool IsConstexpr)
: ConditionVar(ConditionVar), Condition(Condition), Invalid(false),
HasKnownValue(IsConstexpr && Condition.get() &&
!Condition.get()->isValueDependent()),
KnownValue(HasKnownValue &&
!!Condition.get()->EvaluateKnownConstInt(S.Context)) {}
explicit ConditionResult(bool Invalid)
: ConditionVar(nullptr), Condition(nullptr), Invalid(Invalid),
HasKnownValue(false), KnownValue(false) {}
public:
ConditionResult() : ConditionResult(false) {}
bool isInvalid() const { return Invalid; }
std::pair<VarDecl *, Expr *> get() const {
return std::make_pair(cast_or_null<VarDecl>(ConditionVar),
Condition.get());
}
llvm::Optional<bool> getKnownValue() const {
if (!HasKnownValue)
return None;
return KnownValue;
}
};
static ConditionResult ConditionError() { return ConditionResult(true); }
enum class ConditionKind {
Boolean, ///< A boolean condition, from 'if', 'while', 'for', or 'do'.
ConstexprIf, ///< A constant boolean condition from 'if constexpr'.
Switch ///< An integral condition for a 'switch' statement.
};
ConditionResult ActOnCondition(Scope *S, SourceLocation Loc,
Expr *SubExpr, ConditionKind CK);
ConditionResult ActOnConditionVariable(Decl *ConditionVar,
SourceLocation StmtLoc,
ConditionKind CK);
DeclResult ActOnCXXConditionDeclaration(Scope *S, Declarator &D);
ExprResult CheckConditionVariable(VarDecl *ConditionVar,
SourceLocation StmtLoc,
ConditionKind CK);
ExprResult CheckSwitchCondition(SourceLocation SwitchLoc, Expr *Cond);
/// CheckBooleanCondition - Diagnose problems involving the use of
/// the given expression as a boolean condition (e.g. in an if
/// statement). Also performs the standard function and array
/// decays, possibly changing the input variable.
///
/// \param Loc - A location associated with the condition, e.g. the
/// 'if' keyword.
/// \return true iff there were any errors
ExprResult CheckBooleanCondition(SourceLocation Loc, Expr *E,
bool IsConstexpr = false);
/// ActOnExplicitBoolSpecifier - Build an ExplicitSpecifier from an expression
/// found in an explicit(bool) specifier.
ExplicitSpecifier ActOnExplicitBoolSpecifier(Expr *E);
/// tryResolveExplicitSpecifier - Attempt to resolve the explict specifier.
/// Returns true if the explicit specifier is now resolved.
bool tryResolveExplicitSpecifier(ExplicitSpecifier &ExplicitSpec);
/// DiagnoseAssignmentAsCondition - Given that an expression is
/// being used as a boolean condition, warn if it's an assignment.
void DiagnoseAssignmentAsCondition(Expr *E);
/// Redundant parentheses over an equality comparison can indicate
/// that the user intended an assignment used as condition.
void DiagnoseEqualityWithExtraParens(ParenExpr *ParenE);
/// CheckCXXBooleanCondition - Returns true if conversion to bool is invalid.
ExprResult CheckCXXBooleanCondition(Expr *CondExpr, bool IsConstexpr = false);
/// ConvertIntegerToTypeWarnOnOverflow - Convert the specified APInt to have
/// the specified width and sign. If an overflow occurs, detect it and emit
/// the specified diagnostic.
void ConvertIntegerToTypeWarnOnOverflow(llvm::APSInt &OldVal,
unsigned NewWidth, bool NewSign,
SourceLocation Loc, unsigned DiagID);
/// Checks that the Objective-C declaration is declared in the global scope.
/// Emits an error and marks the declaration as invalid if it's not declared
/// in the global scope.
bool CheckObjCDeclScope(Decl *D);
/// Abstract base class used for diagnosing integer constant
/// expression violations.
class VerifyICEDiagnoser {
public:
bool Suppress;
VerifyICEDiagnoser(bool Suppress = false) : Suppress(Suppress) { }
virtual SemaDiagnosticBuilder
diagnoseNotICEType(Sema &S, SourceLocation Loc, QualType T);
virtual SemaDiagnosticBuilder diagnoseNotICE(Sema &S,
SourceLocation Loc) = 0;
virtual SemaDiagnosticBuilder diagnoseFold(Sema &S, SourceLocation Loc);
virtual ~VerifyICEDiagnoser() {}
};
enum AllowFoldKind {
NoFold,
AllowFold,
};
/// VerifyIntegerConstantExpression - Verifies that an expression is an ICE,
/// and reports the appropriate diagnostics. Returns false on success.
/// Can optionally return the value of the expression.
ExprResult VerifyIntegerConstantExpression(Expr *E, llvm::APSInt *Result,
VerifyICEDiagnoser &Diagnoser,
AllowFoldKind CanFold = NoFold);
ExprResult VerifyIntegerConstantExpression(Expr *E, llvm::APSInt *Result,
unsigned DiagID,
AllowFoldKind CanFold = NoFold);
ExprResult VerifyIntegerConstantExpression(Expr *E,
llvm::APSInt *Result = nullptr,
AllowFoldKind CanFold = NoFold);
ExprResult VerifyIntegerConstantExpression(Expr *E,
AllowFoldKind CanFold = NoFold) {
return VerifyIntegerConstantExpression(E, nullptr, CanFold);
}
/// VerifyBitField - verifies that a bit field expression is an ICE and has
/// the correct width, and that the field type is valid.
/// Returns false on success.
/// Can optionally return whether the bit-field is of width 0
ExprResult VerifyBitField(SourceLocation FieldLoc, IdentifierInfo *FieldName,
QualType FieldTy, bool IsMsStruct,
Expr *BitWidth, bool *ZeroWidth = nullptr);
private:
unsigned ForceCUDAHostDeviceDepth = 0;
public:
/// Increments our count of the number of times we've seen a pragma forcing
/// functions to be __host__ __device__. So long as this count is greater
/// than zero, all functions encountered will be __host__ __device__.
void PushForceCUDAHostDevice();
/// Decrements our count of the number of times we've seen a pragma forcing
/// functions to be __host__ __device__. Returns false if the count is 0
/// before incrementing, so you can emit an error.
bool PopForceCUDAHostDevice();
/// Diagnostics that are emitted only if we discover that the given function
/// must be codegen'ed. Because handling these correctly adds overhead to
/// compilation, this is currently only enabled for CUDA compilations.
llvm::DenseMap<CanonicalDeclPtr<FunctionDecl>,
std::vector<PartialDiagnosticAt>>
DeviceDeferredDiags;
/// A pair of a canonical FunctionDecl and a SourceLocation. When used as the
/// key in a hashtable, both the FD and location are hashed.
struct FunctionDeclAndLoc {
CanonicalDeclPtr<FunctionDecl> FD;
SourceLocation Loc;
};
/// FunctionDecls and SourceLocations for which CheckCUDACall has emitted a
/// (maybe deferred) "bad call" diagnostic. We use this to avoid emitting the
/// same deferred diag twice.
llvm::DenseSet<FunctionDeclAndLoc> LocsWithCUDACallDiags;
/// An inverse call graph, mapping known-emitted functions to one of their
/// known-emitted callers (plus the location of the call).
///
/// Functions that we can tell a priori must be emitted aren't added to this
/// map.
llvm::DenseMap</* Callee = */ CanonicalDeclPtr<FunctionDecl>,
/* Caller = */ FunctionDeclAndLoc>
DeviceKnownEmittedFns;
/// Creates a SemaDiagnosticBuilder that emits the diagnostic if the current
/// context is "used as device code".
///
/// - If CurContext is a __host__ function, does not emit any diagnostics
/// unless \p EmitOnBothSides is true.
/// - If CurContext is a __device__ or __global__ function, emits the
/// diagnostics immediately.
/// - If CurContext is a __host__ __device__ function and we are compiling for
/// the device, creates a diagnostic which is emitted if and when we realize
/// that the function will be codegen'ed.
///
/// Example usage:
///
/// // Variable-length arrays are not allowed in CUDA device code.
/// if (CUDADiagIfDeviceCode(Loc, diag::err_cuda_vla) << CurrentCUDATarget())
/// return ExprError();
/// // Otherwise, continue parsing as normal.
SemaDiagnosticBuilder CUDADiagIfDeviceCode(SourceLocation Loc,
unsigned DiagID);
/// Creates a SemaDiagnosticBuilder that emits the diagnostic if the current
/// context is "used as host code".
///
/// Same as CUDADiagIfDeviceCode, with "host" and "device" switched.
SemaDiagnosticBuilder CUDADiagIfHostCode(SourceLocation Loc, unsigned DiagID);
/// Creates a SemaDiagnosticBuilder that emits the diagnostic if the current
/// context is "used as device code".
///
/// - If CurContext is a `declare target` function or it is known that the
/// function is emitted for the device, emits the diagnostics immediately.
/// - If CurContext is a non-`declare target` function and we are compiling
/// for the device, creates a diagnostic which is emitted if and when we
/// realize that the function will be codegen'ed.
///
/// Example usage:
///
/// // Variable-length arrays are not allowed in NVPTX device code.
/// if (diagIfOpenMPDeviceCode(Loc, diag::err_vla_unsupported))
/// return ExprError();
/// // Otherwise, continue parsing as normal.
SemaDiagnosticBuilder
diagIfOpenMPDeviceCode(SourceLocation Loc, unsigned DiagID, FunctionDecl *FD);
/// Creates a SemaDiagnosticBuilder that emits the diagnostic if the current
/// context is "used as host code".
///
/// - If CurContext is a `declare target` function or it is known that the
/// function is emitted for the host, emits the diagnostics immediately.
/// - If CurContext is a non-host function, just ignore it.
///
/// Example usage:
///
/// // Variable-length arrays are not allowed in NVPTX device code.
/// if (diagIfOpenMPHostode(Loc, diag::err_vla_unsupported))
/// return ExprError();
/// // Otherwise, continue parsing as normal.
SemaDiagnosticBuilder diagIfOpenMPHostCode(SourceLocation Loc,
unsigned DiagID, FunctionDecl *FD);
SemaDiagnosticBuilder targetDiag(SourceLocation Loc, unsigned DiagID,
FunctionDecl *FD = nullptr);
SemaDiagnosticBuilder targetDiag(SourceLocation Loc,
const PartialDiagnostic &PD,
FunctionDecl *FD = nullptr) {
return targetDiag(Loc, PD.getDiagID(), FD) << PD;
}
/// Check if the type is allowed to be used for the current target.
void checkTypeSupport(QualType Ty, SourceLocation Loc,
ValueDecl *D = nullptr);
enum CUDAFunctionTarget {
CFT_Device,
CFT_Global,
CFT_Host,
CFT_HostDevice,
CFT_InvalidTarget
};
/// Determines whether the given function is a CUDA device/host/kernel/etc.
/// function.
///
/// Use this rather than examining the function's attributes yourself -- you
/// will get it wrong. Returns CFT_Host if D is null.
CUDAFunctionTarget IdentifyCUDATarget(const FunctionDecl *D,
bool IgnoreImplicitHDAttr = false);
CUDAFunctionTarget IdentifyCUDATarget(const ParsedAttributesView &Attrs);
enum CUDAVariableTarget {
CVT_Device, /// Emitted on device side with a shadow variable on host side
CVT_Host, /// Emitted on host side only
CVT_Both, /// Emitted on both sides with different addresses
CVT_Unified, /// Emitted as a unified address, e.g. managed variables
};
/// Determines whether the given variable is emitted on host or device side.
CUDAVariableTarget IdentifyCUDATarget(const VarDecl *D);
/// Gets the CUDA target for the current context.
CUDAFunctionTarget CurrentCUDATarget() {
return IdentifyCUDATarget(dyn_cast<FunctionDecl>(CurContext));
}
static bool isCUDAImplicitHostDeviceFunction(const FunctionDecl *D);
// CUDA function call preference. Must be ordered numerically from
// worst to best.
enum CUDAFunctionPreference {
CFP_Never, // Invalid caller/callee combination.
CFP_WrongSide, // Calls from host-device to host or device
// function that do not match current compilation
// mode.
CFP_HostDevice, // Any calls to host/device functions.
CFP_SameSide, // Calls from host-device to host or device
// function matching current compilation mode.
CFP_Native, // host-to-host or device-to-device calls.
};
/// Identifies relative preference of a given Caller/Callee
/// combination, based on their host/device attributes.
/// \param Caller function which needs address of \p Callee.
/// nullptr in case of global context.
/// \param Callee target function
///
/// \returns preference value for particular Caller/Callee combination.
CUDAFunctionPreference IdentifyCUDAPreference(const FunctionDecl *Caller,
const FunctionDecl *Callee);
/// Determines whether Caller may invoke Callee, based on their CUDA
/// host/device attributes. Returns false if the call is not allowed.
///
/// Note: Will return true for CFP_WrongSide calls. These may appear in
/// semantically correct CUDA programs, but only if they're never codegen'ed.
bool IsAllowedCUDACall(const FunctionDecl *Caller,
const FunctionDecl *Callee) {
return IdentifyCUDAPreference(Caller, Callee) != CFP_Never;
}
/// May add implicit CUDAHostAttr and CUDADeviceAttr attributes to FD,
/// depending on FD and the current compilation settings.
void maybeAddCUDAHostDeviceAttrs(FunctionDecl *FD,
const LookupResult &Previous);
/// May add implicit CUDAConstantAttr attribute to VD, depending on VD
/// and current compilation settings.
void MaybeAddCUDAConstantAttr(VarDecl *VD);
public:
/// Check whether we're allowed to call Callee from the current context.
///
/// - If the call is never allowed in a semantically-correct program
/// (CFP_Never), emits an error and returns false.
///
/// - If the call is allowed in semantically-correct programs, but only if
/// it's never codegen'ed (CFP_WrongSide), creates a deferred diagnostic to
/// be emitted if and when the caller is codegen'ed, and returns true.
///
/// Will only create deferred diagnostics for a given SourceLocation once,
/// so you can safely call this multiple times without generating duplicate
/// deferred errors.
///
/// - Otherwise, returns true without emitting any diagnostics.
bool CheckCUDACall(SourceLocation Loc, FunctionDecl *Callee);
void CUDACheckLambdaCapture(CXXMethodDecl *D, const sema::Capture &Capture);
/// Set __device__ or __host__ __device__ attributes on the given lambda
/// operator() method.
///
/// CUDA lambdas by default is host device function unless it has explicit
/// host or device attribute.
void CUDASetLambdaAttrs(CXXMethodDecl *Method);
/// Finds a function in \p Matches with highest calling priority
/// from \p Caller context and erases all functions with lower
/// calling priority.
void EraseUnwantedCUDAMatches(
const FunctionDecl *Caller,
SmallVectorImpl<std::pair<DeclAccessPair, FunctionDecl *>> &Matches);
/// Given a implicit special member, infer its CUDA target from the
/// calls it needs to make to underlying base/field special members.
/// \param ClassDecl the class for which the member is being created.
/// \param CSM the kind of special member.
/// \param MemberDecl the special member itself.
/// \param ConstRHS true if this is a copy operation with a const object on
/// its RHS.
/// \param Diagnose true if this call should emit diagnostics.
/// \return true if there was an error inferring.
/// The result of this call is implicit CUDA target attribute(s) attached to
/// the member declaration.
bool inferCUDATargetForImplicitSpecialMember(CXXRecordDecl *ClassDecl,
CXXSpecialMember CSM,
CXXMethodDecl *MemberDecl,
bool ConstRHS,
bool Diagnose);
/// \return true if \p CD can be considered empty according to CUDA
/// (E.2.3.1 in CUDA 7.5 Programming guide).
bool isEmptyCudaConstructor(SourceLocation Loc, CXXConstructorDecl *CD);
bool isEmptyCudaDestructor(SourceLocation Loc, CXXDestructorDecl *CD);
// \brief Checks that initializers of \p Var satisfy CUDA restrictions. In
// case of error emits appropriate diagnostic and invalidates \p Var.
//
// \details CUDA allows only empty constructors as initializers for global
// variables (see E.2.3.1, CUDA 7.5). The same restriction also applies to all
// __shared__ variables whether they are local or not (they all are implicitly
// static in CUDA). One exception is that CUDA allows constant initializers
// for __constant__ and __device__ variables.
void checkAllowedCUDAInitializer(VarDecl *VD);
/// Check whether NewFD is a valid overload for CUDA. Emits
/// diagnostics and invalidates NewFD if not.
void checkCUDATargetOverload(FunctionDecl *NewFD,
const LookupResult &Previous);
/// Copies target attributes from the template TD to the function FD.
void inheritCUDATargetAttrs(FunctionDecl *FD, const FunctionTemplateDecl &TD);
/// Returns the name of the launch configuration function. This is the name
/// of the function that will be called to configure kernel call, with the
/// parameters specified via <<<>>>.
std::string getCudaConfigureFuncName() const;
/// \name Code completion
//@{
/// Describes the context in which code completion occurs.
enum ParserCompletionContext {
/// Code completion occurs at top-level or namespace context.
PCC_Namespace,
/// Code completion occurs within a class, struct, or union.
PCC_Class,
/// Code completion occurs within an Objective-C interface, protocol,
/// or category.
PCC_ObjCInterface,
/// Code completion occurs within an Objective-C implementation or
/// category implementation
PCC_ObjCImplementation,
/// Code completion occurs within the list of instance variables
/// in an Objective-C interface, protocol, category, or implementation.
PCC_ObjCInstanceVariableList,
/// Code completion occurs following one or more template
/// headers.
PCC_Template,
/// Code completion occurs following one or more template
/// headers within a class.
PCC_MemberTemplate,
/// Code completion occurs within an expression.
PCC_Expression,
/// Code completion occurs within a statement, which may
/// also be an expression or a declaration.
PCC_Statement,
/// Code completion occurs at the beginning of the
/// initialization statement (or expression) in a for loop.
PCC_ForInit,
/// Code completion occurs within the condition of an if,
/// while, switch, or for statement.
PCC_Condition,
/// Code completion occurs within the body of a function on a
/// recovery path, where we do not have a specific handle on our position
/// in the grammar.
PCC_RecoveryInFunction,
/// Code completion occurs where only a type is permitted.
PCC_Type,
/// Code completion occurs in a parenthesized expression, which
/// might also be a type cast.
PCC_ParenthesizedExpression,
/// Code completion occurs within a sequence of declaration
/// specifiers within a function, method, or block.
PCC_LocalDeclarationSpecifiers
};
void CodeCompleteModuleImport(SourceLocation ImportLoc, ModuleIdPath Path);
void CodeCompleteOrdinaryName(Scope *S,
ParserCompletionContext CompletionContext);
void CodeCompleteDeclSpec(Scope *S, DeclSpec &DS,
bool AllowNonIdentifiers,
bool AllowNestedNameSpecifiers);
struct CodeCompleteExpressionData;
void CodeCompleteExpression(Scope *S,
const CodeCompleteExpressionData &Data);
void CodeCompleteExpression(Scope *S, QualType PreferredType,
bool IsParenthesized = false);
void CodeCompleteMemberReferenceExpr(Scope *S, Expr *Base, Expr *OtherOpBase,
SourceLocation OpLoc, bool IsArrow,
bool IsBaseExprStatement,
QualType PreferredType);
void CodeCompletePostfixExpression(Scope *S, ExprResult LHS,
QualType PreferredType);
void CodeCompleteTag(Scope *S, unsigned TagSpec);
void CodeCompleteTypeQualifiers(DeclSpec &DS);
void CodeCompleteFunctionQualifiers(DeclSpec &DS, Declarator &D,
const VirtSpecifiers *VS = nullptr);
void CodeCompleteBracketDeclarator(Scope *S);
void CodeCompleteCase(Scope *S);
enum class AttributeCompletion {
Attribute,
Scope,
None,
};
void CodeCompleteAttribute(
AttributeCommonInfo::Syntax Syntax,
AttributeCompletion Completion = AttributeCompletion::Attribute,
const IdentifierInfo *Scope = nullptr);
/// Determines the preferred type of the current function argument, by
/// examining the signatures of all possible overloads.
/// Returns null if unknown or ambiguous, or if code completion is off.
///
/// If the code completion point has been reached, also reports the function
/// signatures that were considered.
///
/// FIXME: rename to GuessCallArgumentType to reduce confusion.
QualType ProduceCallSignatureHelp(Scope *S, Expr *Fn, ArrayRef<Expr *> Args,
SourceLocation OpenParLoc);
QualType ProduceConstructorSignatureHelp(Scope *S, QualType Type,
SourceLocation Loc,
ArrayRef<Expr *> Args,
SourceLocation OpenParLoc);
QualType ProduceCtorInitMemberSignatureHelp(Scope *S, Decl *ConstructorDecl,
CXXScopeSpec SS,
ParsedType TemplateTypeTy,
ArrayRef<Expr *> ArgExprs,
IdentifierInfo *II,
SourceLocation OpenParLoc);
void CodeCompleteInitializer(Scope *S, Decl *D);
/// Trigger code completion for a record of \p BaseType. \p InitExprs are
/// expressions in the initializer list seen so far and \p D is the current
/// Designation being parsed.
void CodeCompleteDesignator(const QualType BaseType,
llvm::ArrayRef<Expr *> InitExprs,
const Designation &D);
void CodeCompleteAfterIf(Scope *S, bool IsBracedThen);
void CodeCompleteQualifiedId(Scope *S, CXXScopeSpec &SS, bool EnteringContext,
bool IsUsingDeclaration, QualType BaseType,
QualType PreferredType);
void CodeCompleteUsing(Scope *S);
void CodeCompleteUsingDirective(Scope *S);
void CodeCompleteNamespaceDecl(Scope *S);
void CodeCompleteNamespaceAliasDecl(Scope *S);
void CodeCompleteOperatorName(Scope *S);
void CodeCompleteConstructorInitializer(
Decl *Constructor,
ArrayRef<CXXCtorInitializer *> Initializers);
void CodeCompleteLambdaIntroducer(Scope *S, LambdaIntroducer &Intro,
bool AfterAmpersand);
void CodeCompleteAfterFunctionEquals(Declarator &D);
void CodeCompleteObjCAtDirective(Scope *S);
void CodeCompleteObjCAtVisibility(Scope *S);
void CodeCompleteObjCAtStatement(Scope *S);
void CodeCompleteObjCAtExpression(Scope *S);
void CodeCompleteObjCPropertyFlags(Scope *S, ObjCDeclSpec &ODS);
void CodeCompleteObjCPropertyGetter(Scope *S);
void CodeCompleteObjCPropertySetter(Scope *S);
void CodeCompleteObjCPassingType(Scope *S, ObjCDeclSpec &DS,
bool IsParameter);
void CodeCompleteObjCMessageReceiver(Scope *S);
void CodeCompleteObjCSuperMessage(Scope *S, SourceLocation SuperLoc,
ArrayRef<IdentifierInfo *> SelIdents,
bool AtArgumentExpression);
void CodeCompleteObjCClassMessage(Scope *S, ParsedType Receiver,
ArrayRef<IdentifierInfo *> SelIdents,
bool AtArgumentExpression,
bool IsSuper = false);
void CodeCompleteObjCInstanceMessage(Scope *S, Expr *Receiver,
ArrayRef<IdentifierInfo *> SelIdents,
bool AtArgumentExpression,
ObjCInterfaceDecl *Super = nullptr);
void CodeCompleteObjCForCollection(Scope *S,
DeclGroupPtrTy IterationVar);
void CodeCompleteObjCSelector(Scope *S,
ArrayRef<IdentifierInfo *> SelIdents);
void CodeCompleteObjCProtocolReferences(
ArrayRef<IdentifierLocPair> Protocols);
void CodeCompleteObjCProtocolDecl(Scope *S);
void CodeCompleteObjCInterfaceDecl(Scope *S);
void CodeCompleteObjCSuperclass(Scope *S,
IdentifierInfo *ClassName,
SourceLocation ClassNameLoc);
void CodeCompleteObjCImplementationDecl(Scope *S);
void CodeCompleteObjCInterfaceCategory(Scope *S,
IdentifierInfo *ClassName,
SourceLocation ClassNameLoc);
void CodeCompleteObjCImplementationCategory(Scope *S,
IdentifierInfo *ClassName,
SourceLocation ClassNameLoc);
void CodeCompleteObjCPropertyDefinition(Scope *S);
void CodeCompleteObjCPropertySynthesizeIvar(Scope *S,
IdentifierInfo *PropertyName);
void CodeCompleteObjCMethodDecl(Scope *S, Optional<bool> IsInstanceMethod,
ParsedType ReturnType);
void CodeCompleteObjCMethodDeclSelector(Scope *S,
bool IsInstanceMethod,
bool AtParameterName,
ParsedType ReturnType,
ArrayRef<IdentifierInfo *> SelIdents);
void CodeCompleteObjCClassPropertyRefExpr(Scope *S, IdentifierInfo &ClassName,
SourceLocation ClassNameLoc,
bool IsBaseExprStatement);
void CodeCompletePreprocessorDirective(bool InConditional);
void CodeCompleteInPreprocessorConditionalExclusion(Scope *S);
void CodeCompletePreprocessorMacroName(bool IsDefinition);
void CodeCompletePreprocessorExpression();
void CodeCompletePreprocessorMacroArgument(Scope *S,
IdentifierInfo *Macro,
MacroInfo *MacroInfo,
unsigned Argument);
void CodeCompleteIncludedFile(llvm::StringRef Dir, bool IsAngled);
void CodeCompleteNaturalLanguage();
void CodeCompleteAvailabilityPlatformName();
void GatherGlobalCodeCompletions(CodeCompletionAllocator &Allocator,
CodeCompletionTUInfo &CCTUInfo,
SmallVectorImpl<CodeCompletionResult> &Results);
//@}
//===--------------------------------------------------------------------===//
// Extra semantic analysis beyond the C type system
public:
SourceLocation getLocationOfStringLiteralByte(const StringLiteral *SL,
unsigned ByteNo) const;
private:
void CheckArrayAccess(const Expr *BaseExpr, const Expr *IndexExpr,
const ArraySubscriptExpr *ASE=nullptr,
bool AllowOnePastEnd=true, bool IndexNegated=false);
void CheckArrayAccess(const Expr *E);
// Used to grab the relevant information from a FormatAttr and a
// FunctionDeclaration.
struct FormatStringInfo {
unsigned FormatIdx;
unsigned FirstDataArg;
bool HasVAListArg;
};
static bool getFormatStringInfo(const FormatAttr *Format, bool IsCXXMember,
FormatStringInfo *FSI);
bool CheckFunctionCall(FunctionDecl *FDecl, CallExpr *TheCall,
const FunctionProtoType *Proto);
bool CheckObjCMethodCall(ObjCMethodDecl *Method, SourceLocation loc,
ArrayRef<const Expr *> Args);
bool CheckPointerCall(NamedDecl *NDecl, CallExpr *TheCall,
const FunctionProtoType *Proto);
bool CheckOtherCall(CallExpr *TheCall, const FunctionProtoType *Proto);
void CheckConstructorCall(FunctionDecl *FDecl, QualType ThisType,
ArrayRef<const Expr *> Args,
const FunctionProtoType *Proto, SourceLocation Loc);
void CheckArgAlignment(SourceLocation Loc, NamedDecl *FDecl,
StringRef ParamName, QualType ArgTy, QualType ParamTy);
void checkCall(NamedDecl *FDecl, const FunctionProtoType *Proto,
const Expr *ThisArg, ArrayRef<const Expr *> Args,
bool IsMemberFunction, SourceLocation Loc, SourceRange Range,
VariadicCallType CallType);
bool CheckObjCString(Expr *Arg);
ExprResult CheckOSLogFormatStringArg(Expr *Arg);
ExprResult CheckBuiltinFunctionCall(FunctionDecl *FDecl,
unsigned BuiltinID, CallExpr *TheCall);
bool CheckTSBuiltinFunctionCall(const TargetInfo &TI, unsigned BuiltinID,
CallExpr *TheCall);
void checkFortifiedBuiltinMemoryFunction(FunctionDecl *FD, CallExpr *TheCall);
bool CheckARMBuiltinExclusiveCall(unsigned BuiltinID, CallExpr *TheCall,
unsigned MaxWidth);
bool CheckNeonBuiltinFunctionCall(const TargetInfo &TI, unsigned BuiltinID,
CallExpr *TheCall);
bool CheckMVEBuiltinFunctionCall(unsigned BuiltinID, CallExpr *TheCall);
bool CheckSVEBuiltinFunctionCall(unsigned BuiltinID, CallExpr *TheCall);
bool CheckCDEBuiltinFunctionCall(const TargetInfo &TI, unsigned BuiltinID,
CallExpr *TheCall);
bool CheckARMCoprocessorImmediate(const TargetInfo &TI, const Expr *CoprocArg,
bool WantCDE);
bool CheckARMBuiltinFunctionCall(const TargetInfo &TI, unsigned BuiltinID,
CallExpr *TheCall);
bool CheckAArch64BuiltinFunctionCall(const TargetInfo &TI, unsigned BuiltinID,
CallExpr *TheCall);
bool CheckBPFBuiltinFunctionCall(unsigned BuiltinID, CallExpr *TheCall);
bool CheckHexagonBuiltinFunctionCall(unsigned BuiltinID, CallExpr *TheCall);
bool CheckHexagonBuiltinArgument(unsigned BuiltinID, CallExpr *TheCall);
bool CheckMipsBuiltinFunctionCall(const TargetInfo &TI, unsigned BuiltinID,
CallExpr *TheCall);
bool CheckMipsBuiltinCpu(const TargetInfo &TI, unsigned BuiltinID,
CallExpr *TheCall);
bool CheckMipsBuiltinArgument(unsigned BuiltinID, CallExpr *TheCall);
bool CheckSystemZBuiltinFunctionCall(unsigned BuiltinID, CallExpr *TheCall);
bool CheckX86BuiltinRoundingOrSAE(unsigned BuiltinID, CallExpr *TheCall);
bool CheckX86BuiltinGatherScatterScale(unsigned BuiltinID, CallExpr *TheCall);
bool CheckX86BuiltinTileArguments(unsigned BuiltinID, CallExpr *TheCall);
bool CheckX86BuiltinTileArgumentsRange(CallExpr *TheCall,
ArrayRef<int> ArgNums);
bool CheckX86BuiltinTileDuplicate(CallExpr *TheCall, ArrayRef<int> ArgNums);
bool CheckX86BuiltinTileRangeAndDuplicate(CallExpr *TheCall,
ArrayRef<int> ArgNums);
bool CheckX86BuiltinFunctionCall(const TargetInfo &TI, unsigned BuiltinID,
CallExpr *TheCall);
bool CheckPPCBuiltinFunctionCall(const TargetInfo &TI, unsigned BuiltinID,
CallExpr *TheCall);
bool CheckAMDGCNBuiltinFunctionCall(unsigned BuiltinID, CallExpr *TheCall);
bool CheckRISCVLMUL(CallExpr *TheCall, unsigned ArgNum);
bool CheckRISCVBuiltinFunctionCall(const TargetInfo &TI, unsigned BuiltinID,
CallExpr *TheCall);
bool SemaBuiltinVAStart(unsigned BuiltinID, CallExpr *TheCall);
bool SemaBuiltinVAStartARMMicrosoft(CallExpr *Call);
bool SemaBuiltinUnorderedCompare(CallExpr *TheCall);
bool SemaBuiltinFPClassification(CallExpr *TheCall, unsigned NumArgs);
bool SemaBuiltinComplex(CallExpr *TheCall);
bool SemaBuiltinVSX(CallExpr *TheCall);
bool SemaBuiltinOSLogFormat(CallExpr *TheCall);
bool SemaValueIsRunOfOnes(CallExpr *TheCall, unsigned ArgNum);
public:
// Used by C++ template instantiation.
ExprResult SemaBuiltinShuffleVector(CallExpr *TheCall);
ExprResult SemaConvertVectorExpr(Expr *E, TypeSourceInfo *TInfo,
SourceLocation BuiltinLoc,
SourceLocation RParenLoc);
private:
bool SemaBuiltinPrefetch(CallExpr *TheCall);
bool SemaBuiltinAllocaWithAlign(CallExpr *TheCall);
bool SemaBuiltinArithmeticFence(CallExpr *TheCall);
bool SemaBuiltinAssume(CallExpr *TheCall);
bool SemaBuiltinAssumeAligned(CallExpr *TheCall);
bool SemaBuiltinLongjmp(CallExpr *TheCall);
bool SemaBuiltinSetjmp(CallExpr *TheCall);
ExprResult SemaBuiltinAtomicOverloaded(ExprResult TheCallResult);
ExprResult SemaBuiltinNontemporalOverloaded(ExprResult TheCallResult);
ExprResult SemaAtomicOpsOverloaded(ExprResult TheCallResult,
AtomicExpr::AtomicOp Op);
ExprResult SemaBuiltinOperatorNewDeleteOverloaded(ExprResult TheCallResult,
bool IsDelete);
bool SemaBuiltinConstantArg(CallExpr *TheCall, int ArgNum,
llvm::APSInt &Result);
bool SemaBuiltinConstantArgRange(CallExpr *TheCall, int ArgNum, int Low,
int High, bool RangeIsError = true);
bool SemaBuiltinConstantArgMultiple(CallExpr *TheCall, int ArgNum,
unsigned Multiple);
bool SemaBuiltinConstantArgPower2(CallExpr *TheCall, int ArgNum);
bool SemaBuiltinConstantArgShiftedByte(CallExpr *TheCall, int ArgNum,
unsigned ArgBits);
bool SemaBuiltinConstantArgShiftedByteOrXXFF(CallExpr *TheCall, int ArgNum,
unsigned ArgBits);
bool SemaBuiltinARMSpecialReg(unsigned BuiltinID, CallExpr *TheCall,
int ArgNum, unsigned ExpectedFieldNum,
bool AllowName);
bool SemaBuiltinARMMemoryTaggingCall(unsigned BuiltinID, CallExpr *TheCall);
bool SemaBuiltinPPCMMACall(CallExpr *TheCall, unsigned BuiltinID,
const char *TypeDesc);
bool CheckPPCMMAType(QualType Type, SourceLocation TypeLoc);
bool SemaBuiltinElementwiseMath(CallExpr *TheCall);
bool SemaBuiltinElementwiseMathOneArg(CallExpr *TheCall);
bool SemaBuiltinReduceMath(CallExpr *TheCall);
// Matrix builtin handling.
ExprResult SemaBuiltinMatrixTranspose(CallExpr *TheCall,
ExprResult CallResult);
ExprResult SemaBuiltinMatrixColumnMajorLoad(CallExpr *TheCall,
ExprResult CallResult);
ExprResult SemaBuiltinMatrixColumnMajorStore(CallExpr *TheCall,
ExprResult CallResult);
public:
enum FormatStringType {
FST_Scanf,
FST_Printf,
FST_NSString,
FST_Strftime,
FST_Strfmon,
FST_Kprintf,
FST_FreeBSDKPrintf,
FST_OSTrace,
FST_OSLog,
FST_Unknown
};
static FormatStringType GetFormatStringType(const FormatAttr *Format);
bool FormatStringHasSArg(const StringLiteral *FExpr);
static bool GetFormatNSStringIdx(const FormatAttr *Format, unsigned &Idx);
private:
bool CheckFormatArguments(const FormatAttr *Format,
ArrayRef<const Expr *> Args,
bool IsCXXMember,
VariadicCallType CallType,
SourceLocation Loc, SourceRange Range,
llvm::SmallBitVector &CheckedVarArgs);
bool CheckFormatArguments(ArrayRef<const Expr *> Args,
bool HasVAListArg, unsigned format_idx,
unsigned firstDataArg, FormatStringType Type,
VariadicCallType CallType,
SourceLocation Loc, SourceRange range,
llvm::SmallBitVector &CheckedVarArgs);
void CheckAbsoluteValueFunction(const CallExpr *Call,
const FunctionDecl *FDecl);
void CheckMaxUnsignedZero(const CallExpr *Call, const FunctionDecl *FDecl);
void CheckMemaccessArguments(const CallExpr *Call,
unsigned BId,
IdentifierInfo *FnName);
void CheckStrlcpycatArguments(const CallExpr *Call,
IdentifierInfo *FnName);
void CheckStrncatArguments(const CallExpr *Call,
IdentifierInfo *FnName);
void CheckFreeArguments(const CallExpr *E);
void CheckReturnValExpr(Expr *RetValExp, QualType lhsType,
SourceLocation ReturnLoc,
bool isObjCMethod = false,
const AttrVec *Attrs = nullptr,
const FunctionDecl *FD = nullptr);
public:
void CheckFloatComparison(SourceLocation Loc, Expr *LHS, Expr *RHS);
private:
void CheckImplicitConversions(Expr *E, SourceLocation CC = SourceLocation());
void CheckBoolLikeConversion(Expr *E, SourceLocation CC);
void CheckForIntOverflow(Expr *E);
void CheckUnsequencedOperations(const Expr *E);
/// Perform semantic checks on a completed expression. This will either
/// be a full-expression or a default argument expression.
void CheckCompletedExpr(Expr *E, SourceLocation CheckLoc = SourceLocation(),
bool IsConstexpr = false);
void CheckBitFieldInitialization(SourceLocation InitLoc, FieldDecl *Field,
Expr *Init);
/// Check if there is a field shadowing.
void CheckShadowInheritedFields(const SourceLocation &Loc,
DeclarationName FieldName,
const CXXRecordDecl *RD,
bool DeclIsField = true);
/// Check if the given expression contains 'break' or 'continue'
/// statement that produces control flow different from GCC.
void CheckBreakContinueBinding(Expr *E);
/// Check whether receiver is mutable ObjC container which
/// attempts to add itself into the container
void CheckObjCCircularContainer(ObjCMessageExpr *Message);
void CheckTCBEnforcement(const CallExpr *TheCall, const FunctionDecl *Callee);
void AnalyzeDeleteExprMismatch(const CXXDeleteExpr *DE);
void AnalyzeDeleteExprMismatch(FieldDecl *Field, SourceLocation DeleteLoc,
bool DeleteWasArrayForm);
public:
/// Register a magic integral constant to be used as a type tag.
void RegisterTypeTagForDatatype(const IdentifierInfo *ArgumentKind,
uint64_t MagicValue, QualType Type,
bool LayoutCompatible, bool MustBeNull);
struct TypeTagData {
TypeTagData() {}
TypeTagData(QualType Type, bool LayoutCompatible, bool MustBeNull) :
Type(Type), LayoutCompatible(LayoutCompatible),
MustBeNull(MustBeNull)
{}
QualType Type;
/// If true, \c Type should be compared with other expression's types for
/// layout-compatibility.
unsigned LayoutCompatible : 1;
unsigned MustBeNull : 1;
};
/// A pair of ArgumentKind identifier and magic value. This uniquely
/// identifies the magic value.
typedef std::pair<const IdentifierInfo *, uint64_t> TypeTagMagicValue;
private:
/// A map from magic value to type information.
std::unique_ptr<llvm::DenseMap<TypeTagMagicValue, TypeTagData>>
TypeTagForDatatypeMagicValues;
/// Peform checks on a call of a function with argument_with_type_tag
/// or pointer_with_type_tag attributes.
void CheckArgumentWithTypeTag(const ArgumentWithTypeTagAttr *Attr,
const ArrayRef<const Expr *> ExprArgs,
SourceLocation CallSiteLoc);
/// Check if we are taking the address of a packed field
/// as this may be a problem if the pointer value is dereferenced.
void CheckAddressOfPackedMember(Expr *rhs);
/// The parser's current scope.
///
/// The parser maintains this state here.
Scope *CurScope;
mutable IdentifierInfo *Ident_super;
mutable IdentifierInfo *Ident___float128;
/// Nullability type specifiers.
IdentifierInfo *Ident__Nonnull = nullptr;
IdentifierInfo *Ident__Nullable = nullptr;
IdentifierInfo *Ident__Nullable_result = nullptr;
IdentifierInfo *Ident__Null_unspecified = nullptr;
IdentifierInfo *Ident_NSError = nullptr;
/// The handler for the FileChanged preprocessor events.
///
/// Used for diagnostics that implement custom semantic analysis for #include
/// directives, like -Wpragma-pack.
sema::SemaPPCallbacks *SemaPPCallbackHandler;
protected:
friend class Parser;
friend class InitializationSequence;
friend class ASTReader;
friend class ASTDeclReader;
friend class ASTWriter;
public:
/// Retrieve the keyword associated
IdentifierInfo *getNullabilityKeyword(NullabilityKind nullability);
/// The struct behind the CFErrorRef pointer.
RecordDecl *CFError = nullptr;
bool isCFError(RecordDecl *D);
/// Retrieve the identifier "NSError".
IdentifierInfo *getNSErrorIdent();
/// Retrieve the parser's current scope.
///
/// This routine must only be used when it is certain that semantic analysis
/// and the parser are in precisely the same context, which is not the case
/// when, e.g., we are performing any kind of template instantiation.
/// Therefore, the only safe places to use this scope are in the parser
/// itself and in routines directly invoked from the parser and *never* from
/// template substitution or instantiation.
Scope *getCurScope() const { return CurScope; }
void incrementMSManglingNumber() const {
return CurScope->incrementMSManglingNumber();
}
IdentifierInfo *getSuperIdentifier() const;
IdentifierInfo *getFloat128Identifier() const;
Decl *getObjCDeclContext() const;
DeclContext *getCurLexicalContext() const {
return OriginalLexicalContext ? OriginalLexicalContext : CurContext;
}
const DeclContext *getCurObjCLexicalContext() const {
const DeclContext *DC = getCurLexicalContext();
// A category implicitly has the attribute of the interface.
if (const ObjCCategoryDecl *CatD = dyn_cast<ObjCCategoryDecl>(DC))
DC = CatD->getClassInterface();
return DC;
}
/// Determine the number of levels of enclosing template parameters. This is
/// only usable while parsing. Note that this does not include dependent
/// contexts in which no template parameters have yet been declared, such as
/// in a terse function template or generic lambda before the first 'auto' is
/// encountered.
unsigned getTemplateDepth(Scope *S) const;
/// To be used for checking whether the arguments being passed to
/// function exceeds the number of parameters expected for it.
static bool TooManyArguments(size_t NumParams, size_t NumArgs,
bool PartialOverloading = false) {
// We check whether we're just after a comma in code-completion.
if (NumArgs > 0 && PartialOverloading)
return NumArgs + 1 > NumParams; // If so, we view as an extra argument.
return NumArgs > NumParams;
}
// Emitting members of dllexported classes is delayed until the class
// (including field initializers) is fully parsed.
SmallVector<CXXRecordDecl*, 4> DelayedDllExportClasses;
SmallVector<CXXMethodDecl*, 4> DelayedDllExportMemberFunctions;
private:
int ParsingClassDepth = 0;
class SavePendingParsedClassStateRAII {
public:
SavePendingParsedClassStateRAII(Sema &S) : S(S) { swapSavedState(); }
~SavePendingParsedClassStateRAII() {
assert(S.DelayedOverridingExceptionSpecChecks.empty() &&
"there shouldn't be any pending delayed exception spec checks");
assert(S.DelayedEquivalentExceptionSpecChecks.empty() &&
"there shouldn't be any pending delayed exception spec checks");
swapSavedState();
}
private:
Sema &S;
decltype(DelayedOverridingExceptionSpecChecks)
SavedOverridingExceptionSpecChecks;
decltype(DelayedEquivalentExceptionSpecChecks)
SavedEquivalentExceptionSpecChecks;
void swapSavedState() {
SavedOverridingExceptionSpecChecks.swap(
S.DelayedOverridingExceptionSpecChecks);
SavedEquivalentExceptionSpecChecks.swap(
S.DelayedEquivalentExceptionSpecChecks);
}
};
/// Helper class that collects misaligned member designations and
/// their location info for delayed diagnostics.
struct MisalignedMember {
Expr *E;
RecordDecl *RD;
ValueDecl *MD;
CharUnits Alignment;
MisalignedMember() : E(), RD(), MD(), Alignment() {}
MisalignedMember(Expr *E, RecordDecl *RD, ValueDecl *MD,
CharUnits Alignment)
: E(E), RD(RD), MD(MD), Alignment(Alignment) {}
explicit MisalignedMember(Expr *E)
: MisalignedMember(E, nullptr, nullptr, CharUnits()) {}
bool operator==(const MisalignedMember &m) { return this->E == m.E; }
};
/// Small set of gathered accesses to potentially misaligned members
/// due to the packed attribute.
SmallVector<MisalignedMember, 4> MisalignedMembers;
/// Adds an expression to the set of gathered misaligned members.
void AddPotentialMisalignedMembers(Expr *E, RecordDecl *RD, ValueDecl *MD,
CharUnits Alignment);
public:
/// Diagnoses the current set of gathered accesses. This typically
/// happens at full expression level. The set is cleared after emitting the
/// diagnostics.
void DiagnoseMisalignedMembers();
/// This function checks if the expression is in the sef of potentially
/// misaligned members and it is converted to some pointer type T with lower
/// or equal alignment requirements. If so it removes it. This is used when
/// we do not want to diagnose such misaligned access (e.g. in conversions to
/// void*).
void DiscardMisalignedMemberAddress(const Type *T, Expr *E);
/// This function calls Action when it determines that E designates a
/// misaligned member due to the packed attribute. This is used to emit
/// local diagnostics like in reference binding.
void RefersToMemberWithReducedAlignment(
Expr *E,
llvm::function_ref<void(Expr *, RecordDecl *, FieldDecl *, CharUnits)>
Action);
/// Describes the reason a calling convention specification was ignored, used
/// for diagnostics.
enum class CallingConventionIgnoredReason {
ForThisTarget = 0,
VariadicFunction,
ConstructorDestructor,
BuiltinFunction
};
/// Creates a SemaDiagnosticBuilder that emits the diagnostic if the current
/// context is "used as device code".
///
/// - If CurLexicalContext is a kernel function or it is known that the
/// function will be emitted for the device, emits the diagnostics
/// immediately.
/// - If CurLexicalContext is a function and we are compiling
/// for the device, but we don't know that this function will be codegen'ed
/// for devive yet, creates a diagnostic which is emitted if and when we
/// realize that the function will be codegen'ed.
///
/// Example usage:
///
/// Diagnose __float128 type usage only from SYCL device code if the current
/// target doesn't support it
/// if (!S.Context.getTargetInfo().hasFloat128Type() &&
/// S.getLangOpts().SYCLIsDevice)
/// SYCLDiagIfDeviceCode(Loc, diag::err_type_unsupported) << "__float128";
SemaDiagnosticBuilder SYCLDiagIfDeviceCode(SourceLocation Loc,
unsigned DiagID);
/// Check whether we're allowed to call Callee from the current context.
///
/// - If the call is never allowed in a semantically-correct program
/// emits an error and returns false.
///
/// - If the call is allowed in semantically-correct programs, but only if
/// it's never codegen'ed, creates a deferred diagnostic to be emitted if
/// and when the caller is codegen'ed, and returns true.
///
/// - Otherwise, returns true without emitting any diagnostics.
///
/// Adds Callee to DeviceCallGraph if we don't know if its caller will be
/// codegen'ed yet.
bool checkSYCLDeviceFunction(SourceLocation Loc, FunctionDecl *Callee);
};
/// RAII object that enters a new expression evaluation context.
class EnterExpressionEvaluationContext {
Sema &Actions;
bool Entered = true;
public:
EnterExpressionEvaluationContext(
Sema &Actions, Sema::ExpressionEvaluationContext NewContext,
Decl *LambdaContextDecl = nullptr,
Sema::ExpressionEvaluationContextRecord::ExpressionKind ExprContext =
Sema::ExpressionEvaluationContextRecord::EK_Other,
bool ShouldEnter = true)
: Actions(Actions), Entered(ShouldEnter) {
if (Entered)
Actions.PushExpressionEvaluationContext(NewContext, LambdaContextDecl,
ExprContext);
}
EnterExpressionEvaluationContext(
Sema &Actions, Sema::ExpressionEvaluationContext NewContext,
Sema::ReuseLambdaContextDecl_t,
Sema::ExpressionEvaluationContextRecord::ExpressionKind ExprContext =
Sema::ExpressionEvaluationContextRecord::EK_Other)
: Actions(Actions) {
Actions.PushExpressionEvaluationContext(
NewContext, Sema::ReuseLambdaContextDecl, ExprContext);
}
enum InitListTag { InitList };
EnterExpressionEvaluationContext(Sema &Actions, InitListTag,
bool ShouldEnter = true)
: Actions(Actions), Entered(false) {
// In C++11 onwards, narrowing checks are performed on the contents of
// braced-init-lists, even when they occur within unevaluated operands.
// Therefore we still need to instantiate constexpr functions used in such
// a context.
if (ShouldEnter && Actions.isUnevaluatedContext() &&
Actions.getLangOpts().CPlusPlus11) {
Actions.PushExpressionEvaluationContext(
Sema::ExpressionEvaluationContext::UnevaluatedList);
Entered = true;
}
}
~EnterExpressionEvaluationContext() {
if (Entered)
Actions.PopExpressionEvaluationContext();
}
};
DeductionFailureInfo
MakeDeductionFailureInfo(ASTContext &Context, Sema::TemplateDeductionResult TDK,
sema::TemplateDeductionInfo &Info);
/// Contains a late templated function.
/// Will be parsed at the end of the translation unit, used by Sema & Parser.
struct LateParsedTemplate {
CachedTokens Toks;
/// The template function declaration to be late parsed.
Decl *D;
};
template <>
void Sema::PragmaStack<Sema::AlignPackInfo>::Act(SourceLocation PragmaLocation,
PragmaMsStackAction Action,
llvm::StringRef StackSlotLabel,
AlignPackInfo Value);
} // end namespace clang
namespace llvm {
// Hash a FunctionDeclAndLoc by looking at both its FunctionDecl and its
// SourceLocation.
template <> struct DenseMapInfo<clang::Sema::FunctionDeclAndLoc> {
using FunctionDeclAndLoc = clang::Sema::FunctionDeclAndLoc;
using FDBaseInfo = DenseMapInfo<clang::CanonicalDeclPtr<clang::FunctionDecl>>;
static FunctionDeclAndLoc getEmptyKey() {
return {FDBaseInfo::getEmptyKey(), clang::SourceLocation()};
}
static FunctionDeclAndLoc getTombstoneKey() {
return {FDBaseInfo::getTombstoneKey(), clang::SourceLocation()};
}
static unsigned getHashValue(const FunctionDeclAndLoc &FDL) {
return hash_combine(FDBaseInfo::getHashValue(FDL.FD),
FDL.Loc.getHashValue());
}
static bool isEqual(const FunctionDeclAndLoc &LHS,
const FunctionDeclAndLoc &RHS) {
return LHS.FD == RHS.FD && LHS.Loc == RHS.Loc;
}
};
} // namespace llvm
#endif
|
BKTree.h | // Copyright (c) Microsoft Corporation. All rights reserved.
// Licensed under the MIT License.
#ifndef _SPTAG_COMMON_BKTREE_H_
#define _SPTAG_COMMON_BKTREE_H_
#include <stack>
#include <string>
#include <vector>
#include <shared_mutex>
#include "../VectorIndex.h"
#include "CommonUtils.h"
#include "QueryResultSet.h"
#include "WorkSpace.h"
#include "Dataset.h"
#include "DistanceUtils.h"
#pragma warning(disable:4996) // 'fopen': This function or variable may be unsafe. Consider using fopen_s instead. To disable deprecation, use _CRT_SECURE_NO_WARNINGS. See online help for details.
namespace SPTAG
{
namespace COMMON
{
// node type for storing BKT
struct BKTNode
{
SizeType centerid;
SizeType childStart;
SizeType childEnd;
BKTNode(SizeType cid = -1) : centerid(cid), childStart(-1), childEnd(-1) {}
};
template <typename T>
struct KmeansArgs {
int _K;
int _DK;
DimensionType _D;
int _T;
DistCalcMethod _M;
T* centers;
T* newTCenters;
SizeType* counts;
float* newCenters;
SizeType* newCounts;
int* label;
SizeType* clusterIdx;
float* clusterDist;
float* weightedCounts;
float* newWeightedCounts;
float(*fComputeDistance)(const T* pX, const T* pY, DimensionType length);
KmeansArgs(int k, DimensionType dim, SizeType datasize, int threadnum, DistCalcMethod distMethod) : _K(k), _DK(k), _D(dim), _T(threadnum), _M(distMethod) {
centers = (T*)aligned_malloc(sizeof(T) * k * dim, ALIGN);
newTCenters = (T*)aligned_malloc(sizeof(T) * k * dim, ALIGN);
counts = new SizeType[k];
newCenters = new float[threadnum * k * dim];
newCounts = new SizeType[threadnum * k];
label = new int[datasize];
clusterIdx = new SizeType[threadnum * k];
clusterDist = new float[threadnum * k];
weightedCounts = new float[k];
newWeightedCounts = new float[threadnum * k];
fComputeDistance = COMMON::DistanceCalcSelector<T>(distMethod);
}
~KmeansArgs() {
aligned_free(centers);
aligned_free(newTCenters);
delete[] counts;
delete[] newCenters;
delete[] newCounts;
delete[] label;
delete[] clusterIdx;
delete[] clusterDist;
delete[] weightedCounts;
delete[] newWeightedCounts;
}
inline void ClearCounts() {
memset(newCounts, 0, sizeof(SizeType) * _T * _K);
memset(newWeightedCounts, 0, sizeof(float) * _T * _K);
}
inline void ClearCenters() {
memset(newCenters, 0, sizeof(float) * _T * _K * _D);
}
inline void ClearDists(float dist) {
for (int i = 0; i < _T * _K; i++) {
clusterIdx[i] = -1;
clusterDist[i] = dist;
}
}
void Shuffle(std::vector<SizeType>& indices, SizeType first, SizeType last) {
SizeType* pos = new SizeType[_K];
pos[0] = first;
for (int k = 1; k < _K; k++) pos[k] = pos[k - 1] + newCounts[k - 1];
for (int k = 0; k < _K; k++) {
if (newCounts[k] == 0) continue;
SizeType i = pos[k];
while (newCounts[k] > 0) {
SizeType swapid = pos[label[i]] + newCounts[label[i]] - 1;
newCounts[label[i]]--;
std::swap(indices[i], indices[swapid]);
std::swap(label[i], label[swapid]);
}
while (indices[i] != clusterIdx[k]) i++;
std::swap(indices[i], indices[pos[k] + counts[k] - 1]);
}
delete[] pos;
}
};
template <typename T>
float RefineCenters(const Dataset<T>& data, KmeansArgs<T>& args)
{
int maxcluster = -1;
SizeType maxCount = 0;
for (int k = 0; k < args._DK; k++) {
if (args.counts[k] > maxCount && args.newCounts[k] > 0 && DistanceUtils::ComputeL2Distance((T*)data[args.clusterIdx[k]], args.centers + k * args._D, args._D) > 1e-6)
{
maxcluster = k;
maxCount = args.counts[k];
}
}
if (maxcluster != -1 && (args.clusterIdx[maxcluster] < 0 || args.clusterIdx[maxcluster] >= data.R()))
LOG(Helper::LogLevel::LL_Debug, "maxcluster:%d(%d) Error dist:%f\n", maxcluster, args.newCounts[maxcluster], args.clusterDist[maxcluster]);
float diff = 0;
for (int k = 0; k < args._DK; k++) {
T* TCenter = args.newTCenters + k * args._D;
if (args.counts[k] == 0) {
if (maxcluster != -1) {
//int nextid = Utils::rand_int(last, first);
//while (args.label[nextid] != maxcluster) nextid = Utils::rand_int(last, first);
SizeType nextid = args.clusterIdx[maxcluster];
std::memcpy(TCenter, data[nextid], sizeof(T)*args._D);
}
else {
std::memcpy(TCenter, args.centers + k * args._D, sizeof(T)*args._D);
}
}
else {
float* currCenters = args.newCenters + k * args._D;
for (DimensionType j = 0; j < args._D; j++) currCenters[j] /= args.counts[k];
if (args._M == DistCalcMethod::Cosine) {
COMMON::Utils::Normalize(currCenters, args._D, COMMON::Utils::GetBase<T>());
}
for (DimensionType j = 0; j < args._D; j++) TCenter[j] = (T)(currCenters[j]);
}
diff += args.fComputeDistance(args.centers + k*args._D, TCenter, args._D);
}
return diff;
}
template <typename T>
inline float KmeansAssign(const Dataset<T>& data,
std::vector<SizeType>& indices,
const SizeType first, const SizeType last, KmeansArgs<T>& args,
const bool updateCenters, float lambda) {
float currDist = 0;
SizeType subsize = (last - first - 1) / args._T + 1;
#pragma omp parallel for num_threads(args._T) shared(data, indices) reduction(+:currDist)
for (int tid = 0; tid < args._T; tid++)
{
SizeType istart = first + tid * subsize;
SizeType iend = min(first + (tid + 1) * subsize, last);
SizeType *inewCounts = args.newCounts + tid * args._K;
float *inewCenters = args.newCenters + tid * args._K * args._D;
SizeType * iclusterIdx = args.clusterIdx + tid * args._K;
float * iclusterDist = args.clusterDist + tid * args._K;
float idist = 0;
for (SizeType i = istart; i < iend; i++) {
int clusterid = 0;
float smallestDist = MaxDist;
for (int k = 0; k < args._DK; k++) {
float dist = args.fComputeDistance(data[indices[i]], args.centers + k*args._D, args._D) + lambda*args.counts[k];
if (dist > -MaxDist && dist < smallestDist) {
clusterid = k; smallestDist = dist;
}
}
args.label[i] = clusterid;
inewCounts[clusterid]++;
idist += smallestDist;
if (updateCenters) {
const T* v = (const T*)data[indices[i]];
float* center = inewCenters + clusterid*args._D;
for (DimensionType j = 0; j < args._D; j++) center[j] += v[j];
if (smallestDist > iclusterDist[clusterid]) {
iclusterDist[clusterid] = smallestDist;
iclusterIdx[clusterid] = indices[i];
}
}
else {
if (smallestDist <= iclusterDist[clusterid]) {
iclusterDist[clusterid] = smallestDist;
iclusterIdx[clusterid] = indices[i];
}
}
}
currDist += idist;
}
for (int i = 1; i < args._T; i++) {
for (int k = 0; k < args._DK; k++)
args.newCounts[k] += args.newCounts[i*args._K + k];
}
if (updateCenters) {
for (int i = 1; i < args._T; i++) {
float* currCenter = args.newCenters + i*args._K*args._D;
for (size_t j = 0; j < ((size_t)args._DK) * args._D; j++) args.newCenters[j] += currCenter[j];
for (int k = 0; k < args._DK; k++) {
if (args.clusterIdx[i*args._K + k] != -1 && args.clusterDist[i*args._K + k] > args.clusterDist[k]) {
args.clusterDist[k] = args.clusterDist[i*args._K + k];
args.clusterIdx[k] = args.clusterIdx[i*args._K + k];
}
}
}
}
else {
for (int i = 1; i < args._T; i++) {
for (int k = 0; k < args._DK; k++) {
if (args.clusterIdx[i*args._K + k] != -1 && args.clusterDist[i*args._K + k] <= args.clusterDist[k]) {
args.clusterDist[k] = args.clusterDist[i*args._K + k];
args.clusterIdx[k] = args.clusterIdx[i*args._K + k];
}
}
}
}
return currDist;
}
template <typename T>
inline void InitCenters(const Dataset<T>& data,
std::vector<SizeType>& indices, const SizeType first, const SizeType last,
KmeansArgs<T>& args, int samples, int tryIters) {
SizeType batchEnd = min(first + samples, last);
float currDist, minClusterDist = MaxDist;
for (int numKmeans = 0; numKmeans < tryIters; numKmeans++) {
for (int k = 0; k < args._DK; k++) {
SizeType randid = COMMON::Utils::rand(last, first);
std::memcpy(args.centers + k*args._D, data[indices[randid]], sizeof(T)*args._D);
}
args.ClearCounts();
args.ClearDists(MaxDist);
currDist = KmeansAssign(data, indices, first, batchEnd, args, false, 0);
if (currDist < minClusterDist) {
minClusterDist = currDist;
memcpy(args.newTCenters, args.centers, sizeof(T)*args._K*args._D);
memcpy(args.counts, args.newCounts, sizeof(SizeType) * args._K);
}
}
}
template <typename T>
int KmeansClustering(const Dataset<T>& data,
std::vector<SizeType>& indices, const SizeType first, const SizeType last,
KmeansArgs<T>& args, int samples = 1000) {
InitCenters(data, indices, first, last, args, samples, 3);
SizeType batchEnd = min(first + samples, last);
float currDiff, currDist, minClusterDist = MaxDist;
int noImprovement = 0;
for (int iter = 0; iter < 100; iter++) {
std::memcpy(args.centers, args.newTCenters, sizeof(T)*args._K*args._D);
std::random_shuffle(indices.begin() + first, indices.begin() + last);
args.ClearCenters();
args.ClearCounts();
args.ClearDists(-MaxDist);
currDist = KmeansAssign(data, indices, first, batchEnd, args, true,
COMMON::Utils::GetBase<T>() * COMMON::Utils::GetBase<T>() / (100.0f * (batchEnd - first)));
std::memcpy(args.counts, args.newCounts, sizeof(SizeType) * args._K);
if (currDist < minClusterDist) {
noImprovement = 0;
minClusterDist = currDist;
}
else {
noImprovement++;
}
currDiff = RefineCenters(data, args);
if (currDiff < 1e-3 || noImprovement >= 5) break;
}
args.ClearCounts();
args.ClearDists(MaxDist);
currDist = KmeansAssign(data, indices, first, last, args, false, 0);
std::memcpy(args.counts, args.newCounts, sizeof(SizeType) * args._K);
int numClusters = 0;
for (int i = 0; i < args._K; i++) if (args.counts[i] > 0) numClusters++;
if (numClusters <= 1) {
return numClusters;
}
args.Shuffle(indices, first, last);
return numClusters;
}
class BKTree
{
public:
BKTree(): m_iTreeNumber(1), m_iBKTKmeansK(32), m_iBKTLeafSize(8), m_iSamples(1000), m_lock(new std::shared_timed_mutex) {}
BKTree(const BKTree& other): m_iTreeNumber(other.m_iTreeNumber),
m_iBKTKmeansK(other.m_iBKTKmeansK),
m_iBKTLeafSize(other.m_iBKTLeafSize),
m_iSamples(other.m_iSamples),
m_lock(new std::shared_timed_mutex) {}
~BKTree() {}
inline const BKTNode& operator[](SizeType index) const { return m_pTreeRoots[index]; }
inline BKTNode& operator[](SizeType index) { return m_pTreeRoots[index]; }
inline SizeType size() const { return (SizeType)m_pTreeRoots.size(); }
inline SizeType sizePerTree() const {
std::shared_lock<std::shared_timed_mutex> lock(*m_lock);
return (SizeType)m_pTreeRoots.size() - m_pTreeStart.back();
}
inline const std::unordered_map<SizeType, SizeType>& GetSampleMap() const { return m_pSampleCenterMap; }
template <typename T>
void Rebuild(const Dataset<T>& data, DistCalcMethod distMethod)
{
BKTree newTrees(*this);
newTrees.BuildTrees<T>(data, distMethod, 1);
std::unique_lock<std::shared_timed_mutex> lock(*m_lock);
m_pTreeRoots.swap(newTrees.m_pTreeRoots);
m_pTreeStart.swap(newTrees.m_pTreeStart);
m_pSampleCenterMap.swap(newTrees.m_pSampleCenterMap);
}
template <typename T>
void BuildTrees(const Dataset<T>& data, DistCalcMethod distMethod, int numOfThreads, std::vector<SizeType>* indices = nullptr, std::vector<SizeType>* reverseIndices = nullptr, bool dynamicK = false)
{
struct BKTStackItem {
SizeType index, first, last;
BKTStackItem(SizeType index_, SizeType first_, SizeType last_) : index(index_), first(first_), last(last_) {}
};
std::stack<BKTStackItem> ss;
std::vector<SizeType> localindices;
if (indices == nullptr) {
localindices.resize(data.R());
for (SizeType i = 0; i < localindices.size(); i++) localindices[i] = i;
}
else {
localindices.assign(indices->begin(), indices->end());
}
KmeansArgs<T> args(m_iBKTKmeansK, data.C(), (SizeType)localindices.size(), numOfThreads, distMethod);
m_pSampleCenterMap.clear();
for (char i = 0; i < m_iTreeNumber; i++)
{
std::random_shuffle(localindices.begin(), localindices.end());
m_pTreeStart.push_back((SizeType)m_pTreeRoots.size());
m_pTreeRoots.emplace_back((SizeType)localindices.size());
LOG(Helper::LogLevel::LL_Info, "Start to build BKTree %d\n", i + 1);
ss.push(BKTStackItem(m_pTreeStart[i], 0, (SizeType)localindices.size()));
while (!ss.empty()) {
BKTStackItem item = ss.top(); ss.pop();
SizeType newBKTid = (SizeType)m_pTreeRoots.size();
m_pTreeRoots[item.index].childStart = newBKTid;
if (item.last - item.first <= m_iBKTLeafSize) {
for (SizeType j = item.first; j < item.last; j++) {
SizeType cid = (reverseIndices == nullptr)? localindices[j]: reverseIndices->at(localindices[j]);
m_pTreeRoots.emplace_back(cid);
}
}
else { // clustering the data into BKTKmeansK clusters
if (dynamicK) {
args._DK = std::min<int>((item.last - item.first) / m_iBKTLeafSize + 1, m_iBKTKmeansK);
args._DK = std::max<int>(args._DK, 2);
}
int numClusters = KmeansClustering(data, localindices, item.first, item.last, args, m_iSamples);
if (numClusters <= 1) {
SizeType end = min(item.last + 1, (SizeType)localindices.size());
std::sort(localindices.begin() + item.first, localindices.begin() + end);
m_pTreeRoots[item.index].centerid = (reverseIndices == nullptr) ? localindices[item.first] : reverseIndices->at(localindices[item.first]);
m_pTreeRoots[item.index].childStart = -m_pTreeRoots[item.index].childStart;
for (SizeType j = item.first + 1; j < end; j++) {
SizeType cid = (reverseIndices == nullptr) ? localindices[j] : reverseIndices->at(localindices[j]);
m_pTreeRoots.emplace_back(cid);
m_pSampleCenterMap[cid] = m_pTreeRoots[item.index].centerid;
}
m_pSampleCenterMap[-1 - m_pTreeRoots[item.index].centerid] = item.index;
}
else {
for (int k = 0; k < m_iBKTKmeansK; k++) {
if (args.counts[k] == 0) continue;
SizeType cid = (reverseIndices == nullptr) ? localindices[item.first + args.counts[k] - 1] : reverseIndices->at(localindices[item.first + args.counts[k] - 1]);
m_pTreeRoots.emplace_back(cid);
if (args.counts[k] > 1) ss.push(BKTStackItem(newBKTid++, item.first, item.first + args.counts[k] - 1));
item.first += args.counts[k];
}
}
}
m_pTreeRoots[item.index].childEnd = (SizeType)m_pTreeRoots.size();
}
m_pTreeRoots.emplace_back(-1);
LOG(Helper::LogLevel::LL_Info, "%d BKTree built, %zu %zu\n", i + 1, m_pTreeRoots.size() - m_pTreeStart[i], localindices.size());
}
}
inline std::uint64_t BufferSize() const
{
return sizeof(int) + sizeof(SizeType) * m_iTreeNumber +
sizeof(SizeType) + sizeof(BKTNode) * m_pTreeRoots.size();
}
ErrorCode SaveTrees(std::shared_ptr<Helper::DiskPriorityIO> p_out) const
{
std::shared_lock<std::shared_timed_mutex> lock(*m_lock);
IOBINARY(p_out, WriteBinary, sizeof(m_iTreeNumber), (char*)&m_iTreeNumber);
IOBINARY(p_out, WriteBinary, sizeof(SizeType) * m_iTreeNumber, (char*)m_pTreeStart.data());
SizeType treeNodeSize = (SizeType)m_pTreeRoots.size();
IOBINARY(p_out, WriteBinary, sizeof(treeNodeSize), (char*)&treeNodeSize);
IOBINARY(p_out, WriteBinary, sizeof(BKTNode) * treeNodeSize, (char*)m_pTreeRoots.data());
LOG(Helper::LogLevel::LL_Info, "Save BKT (%d,%d) Finish!\n", m_iTreeNumber, treeNodeSize);
return ErrorCode::Success;
}
ErrorCode SaveTrees(std::string sTreeFileName) const
{
LOG(Helper::LogLevel::LL_Info, "Save BKT to %s\n", sTreeFileName);
auto ptr = f_createIO();
if (ptr == nullptr || !ptr->Initialize(sTreeFileName.c_str(), std::ios::binary | std::ios::out)) return ErrorCode::FailedCreateFile;
return SaveTrees(ptr);
}
ErrorCode LoadTrees(char* pBKTMemFile)
{
m_iTreeNumber = *((int*)pBKTMemFile);
pBKTMemFile += sizeof(int);
m_pTreeStart.resize(m_iTreeNumber);
memcpy(m_pTreeStart.data(), pBKTMemFile, sizeof(SizeType) * m_iTreeNumber);
pBKTMemFile += sizeof(SizeType)*m_iTreeNumber;
SizeType treeNodeSize = *((SizeType*)pBKTMemFile);
pBKTMemFile += sizeof(SizeType);
m_pTreeRoots.resize(treeNodeSize);
memcpy(m_pTreeRoots.data(), pBKTMemFile, sizeof(BKTNode) * treeNodeSize);
if (m_pTreeRoots.size() > 0 && m_pTreeRoots.back().centerid != -1) m_pTreeRoots.emplace_back(-1);
LOG(Helper::LogLevel::LL_Info, "Load BKT (%d,%d) Finish!\n", m_iTreeNumber, treeNodeSize);
return ErrorCode::Success;
}
ErrorCode LoadTrees(std::shared_ptr<Helper::DiskPriorityIO> p_input)
{
IOBINARY(p_input, ReadBinary, sizeof(m_iTreeNumber), (char*)&m_iTreeNumber);
m_pTreeStart.resize(m_iTreeNumber);
IOBINARY(p_input, ReadBinary, sizeof(SizeType) * m_iTreeNumber, (char*)m_pTreeStart.data());
SizeType treeNodeSize;
IOBINARY(p_input, ReadBinary, sizeof(treeNodeSize), (char*)&treeNodeSize);
m_pTreeRoots.resize(treeNodeSize);
IOBINARY(p_input, ReadBinary, sizeof(BKTNode) * treeNodeSize, (char*)m_pTreeRoots.data());
if (m_pTreeRoots.size() > 0 && m_pTreeRoots.back().centerid != -1) m_pTreeRoots.emplace_back(-1);
LOG(Helper::LogLevel::LL_Info, "Load BKT (%d,%d) Finish!\n", m_iTreeNumber, treeNodeSize);
return ErrorCode::Success;
}
ErrorCode LoadTrees(std::string sTreeFileName)
{
LOG(Helper::LogLevel::LL_Info, "Load BKT From %s\n", sTreeFileName.c_str());
auto ptr = f_createIO();
if (ptr == nullptr || !ptr->Initialize(sTreeFileName.c_str(), std::ios::binary | std::ios::in)) return ErrorCode::FailedOpenFile;
return LoadTrees(ptr);
}
template <typename T>
void InitSearchTrees(const Dataset<T>& data, float(*fComputeDistance)(const T* pX, const T* pY, DimensionType length), const COMMON::QueryResultSet<T> &p_query, COMMON::WorkSpace &p_space) const
{
for (char i = 0; i < m_iTreeNumber; i++) {
const BKTNode& node = m_pTreeRoots[m_pTreeStart[i]];
if (node.childStart < 0) {
p_space.m_SPTQueue.insert(COMMON::HeapCell(m_pTreeStart[i], fComputeDistance(p_query.GetTarget(), data[node.centerid], data.C())));
}
else {
for (SizeType begin = node.childStart; begin < node.childEnd; begin++) {
SizeType index = m_pTreeRoots[begin].centerid;
p_space.m_SPTQueue.insert(COMMON::HeapCell(begin, fComputeDistance(p_query.GetTarget(), data[index], data.C())));
}
}
}
}
template <typename T>
void SearchTrees(const Dataset<T>& data, float(*fComputeDistance)(const T* pX, const T* pY, DimensionType length), const COMMON::QueryResultSet<T> &p_query,
COMMON::WorkSpace &p_space, const int p_limits) const
{
while (!p_space.m_SPTQueue.empty())
{
COMMON::HeapCell bcell = p_space.m_SPTQueue.pop();
const BKTNode& tnode = m_pTreeRoots[bcell.node];
if (tnode.childStart < 0) {
if (!p_space.CheckAndSet(tnode.centerid)) {
p_space.m_iNumberOfCheckedLeaves++;
p_space.m_NGQueue.insert(COMMON::HeapCell(tnode.centerid, bcell.distance));
}
if (p_space.m_iNumberOfCheckedLeaves >= p_limits) break;
}
else {
if (!p_space.CheckAndSet(tnode.centerid)) {
p_space.m_NGQueue.insert(COMMON::HeapCell(tnode.centerid, bcell.distance));
}
for (SizeType begin = tnode.childStart; begin < tnode.childEnd; begin++) {
SizeType index = m_pTreeRoots[begin].centerid;
p_space.m_SPTQueue.insert(COMMON::HeapCell(begin, fComputeDistance(p_query.GetTarget(), data[index], data.C())));
}
}
}
}
private:
std::vector<SizeType> m_pTreeStart;
std::vector<BKTNode> m_pTreeRoots;
std::unordered_map<SizeType, SizeType> m_pSampleCenterMap;
public:
std::unique_ptr<std::shared_timed_mutex> m_lock;
int m_iTreeNumber, m_iBKTKmeansK, m_iBKTLeafSize, m_iSamples;
};
}
}
#endif
|
amatrix.c | /* contains routines common to direct and indirect sparse solvers */
#include "amatrix.h"
#include "linsys.h"
#define MIN_SCALE (1e-4)
#define MAX_SCALE (1e4)
#define NUM_SCALE_PASSES 10 /* additional passes don't help much */
scs_int SCS(copy_a_matrix)(ScsMatrix **dstp, const ScsMatrix *src) {
scs_int Anz = src->p[src->n];
ScsMatrix *A = (ScsMatrix *)scs_calloc(1, sizeof(ScsMatrix));
if (!A) {
return 0;
}
A->n = src->n;
A->m = src->m;
A->x = (scs_float *)scs_malloc(sizeof(scs_float) *
Anz); /* A values, size: NNZ A */
A->i = (scs_int *)scs_malloc(sizeof(scs_int) *
Anz); /* A row index, size: NNZ A */
A->p = (scs_int *)scs_malloc(sizeof(scs_int) *
(src->n + 1)); /* A column pointer, size: n+1 */
if (!A->x || !A->i || !A->p) {
return 0;
}
memcpy(A->x, src->x, sizeof(scs_float) * Anz);
memcpy(A->i, src->i, sizeof(scs_int) * Anz);
memcpy(A->p, src->p, sizeof(scs_int) * (src->n + 1));
*dstp = A;
return 1;
}
scs_int SCS(validate_lin_sys)(const ScsMatrix *A) {
scs_int i, r_max, Anz;
if (!A->x || !A->i || !A->p) {
scs_printf("data incompletely specified\n");
return -1;
}
/* detects some errors in A col ptrs: */
Anz = A->p[A->n];
if (Anz > 0) {
for (i = 0; i < A->n; ++i) {
if (A->p[i] == A->p[i + 1]) {
scs_printf(
"WARN: A->p (column pointers) not strictly increasing, "
"column %li empty\n",
(long)i);
} else if (A->p[i] > A->p[i + 1]) {
scs_printf("ERROR: A->p (column pointers) decreasing\n");
return -1;
}
}
}
if (((scs_float)Anz / A->m > A->n) || (Anz < 0)) {
scs_printf("Anz (nonzeros in A) = %li, outside of valid range\n",
(long)Anz);
return -1;
}
r_max = 0;
for (i = 0; i < Anz; ++i) {
if (A->i[i] > r_max) {
r_max = A->i[i];
}
}
if (r_max > A->m - 1) {
scs_printf("number of rows in A inconsistent with input dimension\n");
return -1;
}
return 0;
}
void SCS(free_a_matrix)(ScsMatrix *A) {
if (A) {
scs_free(A->x);
scs_free(A->i);
scs_free(A->p);
scs_free(A);
}
}
#if EXTRA_VERBOSE > 0
static void print_a_matrix(const ScsMatrix *A) {
scs_int i, j;
/* TODO: this is to prevent clogging stdout */
if (A->p[A->n] < 2500) {
scs_printf("\n");
for (i = 0; i < A->n; ++i) {
scs_printf("Col %li: ", (long)i);
for (j = A->p[i]; j < A->p[i + 1]; j++) {
scs_printf("A[%li,%li] = %4f, ", (long)A->i[j], (long)i, A->x[j]);
}
scs_printf("norm col = %4f\n",
SCS(norm)(&(A->x[A->p[i]]), A->p[i + 1] - A->p[i]));
}
scs_printf("norm A = %4f\n", SCS(norm)(A->x, A->p[A->n]));
}
}
#endif
void SCS(_normalize_a)(ScsMatrix *A, const ScsSettings *stgs, const ScsCone *k,
ScsScaling *scal) {
scs_float *D = (scs_float *)scs_malloc(A->m * sizeof(scs_float));
scs_float *E = (scs_float *)scs_malloc(A->n * sizeof(scs_float));
scs_float *Dt = (scs_float *)scs_malloc(A->m * sizeof(scs_float));
scs_float *Et = (scs_float *)scs_malloc(A->n * sizeof(scs_float));
scs_float *nms = (scs_float *)scs_calloc(A->m, sizeof(scs_float));
scs_int i, j, l, count, delta, *boundaries;
scs_int num_boundaries = SCS(get_cone_boundaries)(k, &boundaries);
scs_float wrk;
#if EXTRA_VERBOSE > 0
SCS(timer) normalize_timer;
SCS(tic)(&normalize_timer);
scs_printf("normalizing A\n");
print_a_matrix(A);
#endif
for (l = 0; l < NUM_SCALE_PASSES; ++l) {
memset(D, 0, A->m * sizeof(scs_float));
memset(E, 0, A->n * sizeof(scs_float));
/* calculate row norms */
for (i = 0; i < A->n; ++i) {
for (j = A->p[i]; j < A->p[i + 1]; ++j) {
D[A->i[j]] = MAX(D[A->i[j]], ABS(A->x[j]));
}
}
for (i = 0; i < A->m; ++i) {
D[i] = SQRTF(D[i]);
D[i] = D[i] < MIN_SCALE ? 1.0 : D[i];
D[i] = D[i] > MAX_SCALE ? MAX_SCALE : D[i];
}
/* calculate col norms, E */
for (i = 0; i < A->n; ++i) {
E[i] = SCS(norm_inf)(&(A->x[A->p[i]]), A->p[i + 1] - A->p[i]);
E[i] = SQRTF(E[i]);
E[i] = E[i] < MIN_SCALE ? 1.0 : E[i];
E[i] = E[i] > MAX_SCALE ? MAX_SCALE : E[i];
}
/* mean of D across each cone */
count = boundaries[0];
for (i = 1; i < num_boundaries; ++i) {
wrk = 0;
delta = boundaries[i];
for (j = count; j < count + delta; ++j) {
wrk += D[j];
}
wrk /= delta;
for (j = count; j < count + delta; ++j) {
D[j] = wrk;
}
count += delta;
}
/* scale the rows with D */
for (i = 0; i < A->n; ++i) {
for (j = A->p[i]; j < A->p[i + 1]; ++j) {
A->x[j] /= D[A->i[j]];
}
}
/* scale the cols with E */
for (i = 0; i < A->n; ++i) {
SCS(scale_array)(&(A->x[A->p[i]]), 1.0 / E[i], A->p[i + 1] - A->p[i]);
}
/* Accumulate scaling */
for (i = 0; i < A->m; ++i) {
Dt[i] = (l == 0) ? D[i] : Dt[i] * D[i];
}
for (i = 0; i < A->n; ++i) {
Et[i] = (l == 0) ? E[i] : Et[i] * E[i];
}
}
scs_free(boundaries);
scs_free(D);
scs_free(E);
/* calculate mean of row norms of A */
for (i = 0; i < A->n; ++i) {
for (j = A->p[i]; j < A->p[i + 1]; ++j) {
wrk = A->x[j];
nms[A->i[j]] += wrk * wrk;
}
}
scal->mean_norm_row_a = 0.0;
for (i = 0; i < A->m; ++i) {
scal->mean_norm_row_a += SQRTF(nms[i]) / A->m;
}
scs_free(nms);
/* calculate mean of col norms of A */
scal->mean_norm_col_a = 0.0;
for (i = 0; i < A->n; ++i) {
scal->mean_norm_col_a +=
SCS(norm)(&(A->x[A->p[i]]), A->p[i + 1] - A->p[i]) / A->n;
}
/* scale up by d->SCALE if not equal to 1 */
if (stgs->scale != 1) {
SCS(scale_array)(A->x, stgs->scale, A->p[A->n]);
}
scal->D = Dt;
scal->E = Et;
#if EXTRA_VERBOSE > 0
scs_printf("finished normalizing A, time: %1.2es\n",
SCS(tocq)(&normalize_timer) / 1e3);
print_a_matrix(A);
#endif
}
void SCS(_un_normalize_a)(ScsMatrix *A, const ScsSettings *stgs,
const ScsScaling *scal) {
scs_int i, j;
scs_float *D = scal->D;
scs_float *E = scal->E;
for (i = 0; i < A->n; ++i) {
SCS(scale_array)
(&(A->x[A->p[i]]), E[i] / stgs->scale, A->p[i + 1] - A->p[i]);
}
for (i = 0; i < A->n; ++i) {
for (j = A->p[i]; j < A->p[i + 1]; ++j) {
A->x[j] *= D[A->i[j]];
}
}
}
void SCS(_accum_by_atrans)(scs_int n, scs_float *Ax, scs_int *Ai, scs_int *Ap,
const scs_float *x, scs_float *y) {
/* y += A'*x
A in column compressed format
parallelizes over columns (rows of A')
*/
scs_int p, j;
scs_int c1, c2;
scs_float yj;
#if EXTRA_VERBOSE > 0
SCS(timer) mult_by_atrans_timer;
SCS(tic)(&mult_by_atrans_timer);
#endif
#ifdef _OPENMP
#pragma omp parallel for private(p, c1, c2, yj)
#endif
for (j = 0; j < n; j++) {
yj = y[j];
c1 = Ap[j];
c2 = Ap[j + 1];
for (p = c1; p < c2; p++) {
yj += Ax[p] * x[Ai[p]];
}
y[j] = yj;
}
#if EXTRA_VERBOSE > 0
scs_printf("mult By A trans time: %1.2es\n",
SCS(tocq)(&mult_by_atrans_timer) / 1e3);
#endif
}
scs_float SCS(cumsum)(scs_int *p, scs_int *c, scs_int n) {
scs_int i, nz = 0;
scs_float nz2 = 0;
if (!p || !c) {
return (-1);
} /* check inputs */
for (i = 0; i < n; i++) {
p[i] = nz;
nz += c[i];
nz2 += c[i]; /* also in scs_float to avoid scs_int overflow */
c[i] = p[i]; /* also copy p[0..n-1] back into c[0..n-1]*/
}
p[n] = nz;
return nz2; /* return sum (c [0..n-1]) */
}
void SCS(_accum_by_a)(scs_int n, scs_float *Ax, scs_int *Ai, scs_int *Ap,
const scs_float *x, scs_float *y) {
/*y += A*x
A in column compressed format
this parallelizes over columns and uses
pragma atomic to prevent concurrent writes to y
*/
scs_int p, j;
scs_int c1, c2;
scs_float xj;
#if EXTRA_VERBOSE > 0
SCS(timer) mult_by_a_timer;
SCS(tic)(&mult_by_a_timer);
#endif
/*#pragma omp parallel for private(p,c1,c2,xj) */
for (j = 0; j < n; j++) {
xj = x[j];
c1 = Ap[j];
c2 = Ap[j + 1];
for (p = c1; p < c2; p++) {
/*#pragma omp atomic */
y[Ai[p]] += Ax[p] * xj;
}
}
#if EXTRA_VERBOSE > 0
scs_printf("mult By A time: %1.2es\n", SCS(tocq)(&mult_by_a_timer) / 1e3);
#endif
}
|
binTree.h | #ifndef _BINARYTREE_H_
#define _BINARYTREE_H_
#include <mpi.h>
#include <cassert>
#include <vector>
#include <algorithm>
#include <fstream>
#include <iostream>
#include <map>
#include <utility>
#include <cstring>
#include <omp.h>
#include "util.h"
using namespace std;
/* ************************************************** */
class binNode;
class binData;
typedef binNode* pbinNode;
typedef binData* pbinData;
/* ************************************************** */
struct treeParams{
int splitter;
int hypertree;
int debug_verbose;
int timing_verbose;
int pruning_verbose;
int max_points_per_node;
int max_tree_level;
int min_comm_size_per_node;
int flops_verbose;
int eval_verbose;
int traverse_type;
treeParams():splitter(0),hypertree(1),debug_verbose(0),timing_verbose(0),pruning_verbose(0),max_points_per_node(1000),max_tree_level(20),min_comm_size_per_node(1),flops_verbose(0),eval_verbose(0),traverse_type(0){}
};
/**
Auxiliary data structure to hold point coords (X), their dimension (dim) and global ids.
*/
class binData {
public:
vector<double> X; ///< Data point coordinates.
int dim; ///< Dimensionality of points.
int numof_points;
vector<long> gids; ///< global ids of points.
vector<long> lids; /// < local ids of points, used by shared memory tree
vector<double> radii; ///< Search radii of points (only meaningful if this binData object is a query point set).
binData() : dim(0),numof_points(0) {;}
//------------- Methods
virtual void Copy(pbinData data){
X.resize( data->numof_points * data->dim );
gids.resize( data->numof_points );
dim = data->dim;
numof_points = data->numof_points;
int npoints = numof_points;
#pragma omp parallel if(npoints > 2000)
{
int omp_num_points, last_omp_num_points;
int t = omp_get_thread_num();
int numt = omp_get_num_threads();
omp_num_points = npoints / numt;
last_omp_num_points = npoints - (omp_num_points * (numt-1));
//This thread's number of points
int threadpoints = (t == numt-1) ? last_omp_num_points : omp_num_points;
memcpy( (void*)&(X[t*omp_num_points*dim]), (void*)&(data->X[t*omp_num_points*dim]),
threadpoints*dim*sizeof(double) );
memcpy( (void*)&(gids[t*omp_num_points]), (void*)&(data->gids[t*omp_num_points]),
threadpoints*sizeof(long) );
}
if(data->radii.size()>0){
radii.resize(data->numof_points);
#pragma omp parallel if(npoints > 2000)
{
#pragma omp for //schedule(dynamic,256)
for(int i=0; i<npoints; i++) radii[i] = data->radii[i];
}
}
if(data->lids.size()>0){
lids.resize(data->numof_points);
#pragma omp parallel if(npoints > 2000)
{
#pragma omp for //schedule(dynamic,256)
for(int i=0; i<npoints; i++) lids[i] = data->lids[i];
}
}
}
};
/* ************************************************** */
/**
* This is the main data structure for the PCL-tree. Each MPI process stores a doubly-linked
* list of binNode objects, representing a path from the root to that process's leaf node.
*/
class binNode {
public:
pbinData data;
int level;
MPI_Comm comm;
pbinNode parent;
pbinNode kid;
int Nglobal; // The total number of points stored in or beneath this tree node, across all member processes.
//vector<double> matR; // rotation matrix on this level
vector<double> rw; // workspace for fast rotation
vector<double> proj;
int coord_mv; // which coord to use
double median; // median of coord_mv
//vector<int> cluster_to_kid_membership;
vector<int> rank_colors; // Length is equal to size of comm. Stores the child that each MPI rank belongs to.
int chid; // This node's child id.
struct Options{
string splitter; // splitter type: 0 mtree 1 maxVar
int flag_r; // do not rotate (0), rotate on root level (1) or rotate on every level (2)
int flag_c; // choose coord randomly (0), or with max variance (1)
int hypertree; // repartition points using hypertree(1) or oldtree (0)
int debug_verbose; // print extensive information and/or compare results against direct search.
int timing_verbose; // print timing.
int pruning_verbose; // Print pruning statistics in tree query operations.
int flops_verbose; // now it's useful, to be deleted later
static const int max_max_treelevel=50; // Maximum allowable value for maxlev.
Options() : splitter("rkdt"),hypertree(1),flag_r(1),flag_c(0),flops_verbose(false),debug_verbose(false),timing_verbose(false),pruning_verbose(false) {;}
};
Options options; ///< This nodes Options object.
//------------- Methods
binNode() : data(NULL),level(0),chid(0),comm(MPI_COMM_WORLD),parent(NULL),kid(NULL) {;}
binNode(int ci) : data(NULL),level(0),chid(ci),comm(MPI_COMM_WORLD),parent(NULL),kid(NULL) {;}
virtual ~binNode();
//void destroy_node(pbinNode inNode);
void Insert(pbinNode inParent, int maxp, int maxlev, int minCommSize, MPI_Comm comm, pbinData inData);
//void Insert_hypertree(pbinNode inParent, int maxp, int maxlev, int minCommSize, MPI_Comm comm, pbinData inData);
//void Insert_oldtree(pbinNode inParent, int maxp, int maxlev, int minCommSize, MPI_Comm comm, pbinData inData);
void InsertInMemory(pbinNode in_parent, int maxp, int maxLevel, int minCommSize, MPI_Comm inComm, pbinData inData, binData *datapool, vector<int> &gid2lid);
void parvar(double *points, int numof_points, int dim, double *mean, double *var);
void maxVarSplitter( double *points, int numof_points, int dim, int flag_c,
// output
int &coord_mv, double &medV,
int* point_to_hyperplane_membership,
int *local_numof_points_per_hyperplane,
int *global_numof_points_per_hyperplane,
MPI_Comm comm);
void medianSplitter(// input
const vector<double> &px,
// output
double &medV,
int* point_to_hyperplane_membership,
int* local_numof_points_per_hyperplane,
int* global_numof_points_per_hyperplane,
MPI_Comm comm );
void getProjection(double * points, int numof_points, int dim, double *proj, MPI_Comm comm);
void furthestPoint(double *points, int numof_points, int dim, double* query, double* furP, MPI_Comm comm);
void mtreeSplitter( double *points, int numof_points, int dim,
// output
double *proj, double &medianValue,
int* point_to_hyperplane_membership,
int *local_numof_points_per_hyperplane,
int *global_numof_points_per_hyperplane,
MPI_Comm comm);
double distributeSelect(vector<double> &arr, int ks, MPI_Comm comm);
};
#endif
|
ordered-2.c | /* { dg-do compile } */
void f1(void)
{
#pragma omp ordered asdf /* { dg-error "expected" } */
#pragma omp ordered /* { dg-error "region may not be closely nested inside of" } */
} /* { dg-error "expected expression" } */
|
integral_parallel2.c | #include<stdio.h>
#include<omp.h>
#define NUM_THREADS 4
#define PAD 8
static long num_steps = 100000;
double step;
int main(){
int i, nthreads;
double pi, sum[NUM_THREADS][PAD], init_time, finish_time;
step = 1.0 / (double)num_steps;
init_time = omp_get_wtime();
omp_set_num_threads(NUM_THREADS);
#pragma omp parallel
{
int i, id, nthrds;
double x;
id = omp_get_thread_num();
nthrds = omp_get_num_threads();
if (id == 0)
nthreads = nthrds;
for (i=id, sum[id][0]=0.0 ; i<num_steps ; i=i+nthrds){
x = (i+0.5)*step;
sum[id][0] += 4.0/(1.0+x*x);
}
}
finish_time = omp_get_wtime()-init_time;
for (i=0, pi=0.0 ; i < nthreads; i++)
pi += sum[i][0]*step;
printf("PI = %f\n", pi);
printf("Time = %f\n", finish_time);
}
|
irbuilder_for_unsigned_auto.c | // NOTE: Assertions have been autogenerated by utils/update_cc_test_checks.py UTC_ARGS: --function-signature --include-generated-funcs
// RUN: %clang_cc1 -fopenmp-enable-irbuilder -verify -fopenmp -fopenmp-version=45 -x c++ -triple x86_64-unknown-unknown -emit-llvm %s -o - | FileCheck %s
// expected-no-diagnostics
#ifndef HEADER
#define HEADER
// CHECK-LABEL: define {{.*}}@workshareloop_unsigned_auto(
// CHECK-NEXT: [[ENTRY:.*]]:
// CHECK-NEXT: %[[A_ADDR:.+]] = alloca float*, align 8
// CHECK-NEXT: %[[B_ADDR:.+]] = alloca float*, align 8
// CHECK-NEXT: %[[C_ADDR:.+]] = alloca float*, align 8
// CHECK-NEXT: %[[D_ADDR:.+]] = alloca float*, align 8
// CHECK-NEXT: %[[I:.+]] = alloca i32, align 4
// CHECK-NEXT: %[[AGG_CAPTURED:.+]] = alloca %struct.anon, align 8
// CHECK-NEXT: %[[AGG_CAPTURED1:.+]] = alloca %struct.anon.0, align 4
// CHECK-NEXT: %[[DOTCOUNT_ADDR:.+]] = alloca i32, align 4
// CHECK-NEXT: %[[P_LASTITER:.+]] = alloca i32, align 4
// CHECK-NEXT: %[[P_LOWERBOUND:.+]] = alloca i32, align 4
// CHECK-NEXT: %[[P_UPPERBOUND:.+]] = alloca i32, align 4
// CHECK-NEXT: %[[P_STRIDE:.+]] = alloca i32, align 4
// CHECK-NEXT: store float* %[[A:.+]], float** %[[A_ADDR]], align 8
// CHECK-NEXT: store float* %[[B:.+]], float** %[[B_ADDR]], align 8
// CHECK-NEXT: store float* %[[C:.+]], float** %[[C_ADDR]], align 8
// CHECK-NEXT: store float* %[[D:.+]], float** %[[D_ADDR]], align 8
// CHECK-NEXT: store i32 33, i32* %[[I]], align 4
// CHECK-NEXT: %[[TMP0:.+]] = getelementptr inbounds %struct.anon, %struct.anon* %[[AGG_CAPTURED]], i32 0, i32 0
// CHECK-NEXT: store i32* %[[I]], i32** %[[TMP0]], align 8
// CHECK-NEXT: %[[TMP1:.+]] = getelementptr inbounds %struct.anon.0, %struct.anon.0* %[[AGG_CAPTURED1]], i32 0, i32 0
// CHECK-NEXT: %[[TMP2:.+]] = load i32, i32* %[[I]], align 4
// CHECK-NEXT: store i32 %[[TMP2]], i32* %[[TMP1]], align 4
// CHECK-NEXT: call void @__captured_stmt(i32* %[[DOTCOUNT_ADDR]], %struct.anon* %[[AGG_CAPTURED]])
// CHECK-NEXT: %[[DOTCOUNT:.+]] = load i32, i32* %[[DOTCOUNT_ADDR]], align 4
// CHECK-NEXT: br label %[[OMP_LOOP_PREHEADER:.+]]
// CHECK-EMPTY:
// CHECK-NEXT: [[OMP_LOOP_PREHEADER]]:
// CHECK-NEXT: store i32 1, i32* %[[P_LOWERBOUND]], align 4
// CHECK-NEXT: store i32 %[[DOTCOUNT]], i32* %[[P_UPPERBOUND]], align 4
// CHECK-NEXT: store i32 1, i32* %[[P_STRIDE]], align 4
// CHECK-NEXT: %[[OMP_GLOBAL_THREAD_NUM:.+]] = call i32 @__kmpc_global_thread_num(%struct.ident_t* @1)
// CHECK-NEXT: call void @__kmpc_dispatch_init_4u(%struct.ident_t* @1, i32 %[[OMP_GLOBAL_THREAD_NUM]], i32 38, i32 1, i32 %[[DOTCOUNT]], i32 1, i32 1)
// CHECK-NEXT: br label %[[OMP_LOOP_PREHEADER_OUTER_COND:.+]]
// CHECK-EMPTY:
// CHECK-NEXT: [[OMP_LOOP_HEADER:.*]]:
// CHECK-NEXT: %[[OMP_LOOP_IV:.+]] = phi i32 [ %[[LB:.+]], %[[OMP_LOOP_PREHEADER_OUTER_COND]] ], [ %[[OMP_LOOP_NEXT:.+]], %[[OMP_LOOP_INC:.+]] ]
// CHECK-NEXT: br label %[[OMP_LOOP_COND:.+]]
// CHECK-EMPTY:
// CHECK-NEXT: [[OMP_LOOP_COND]]:
// CHECK-NEXT: %[[UB:.+]] = load i32, i32* %[[P_UPPERBOUND]], align 4
// CHECK-NEXT: %[[OMP_LOOP_CMP:.+]] = icmp ult i32 %[[OMP_LOOP_IV]], %[[UB]]
// CHECK-NEXT: br i1 %[[OMP_LOOP_CMP]], label %[[OMP_LOOP_BODY:.+]], label %[[OMP_LOOP_PREHEADER_OUTER_COND]]
// CHECK-EMPTY:
// CHECK-NEXT: [[OMP_LOOP_BODY]]:
// CHECK-NEXT: call void @__captured_stmt.1(i32* %[[I]], i32 %[[OMP_LOOP_IV]], %struct.anon.0* %[[AGG_CAPTURED1]])
// CHECK-NEXT: %[[TMP3:.+]] = load float*, float** %[[B_ADDR]], align 8
// CHECK-NEXT: %[[TMP4:.+]] = load i32, i32* %[[I]], align 4
// CHECK-NEXT: %[[IDXPROM:.+]] = zext i32 %[[TMP4]] to i64
// CHECK-NEXT: %[[ARRAYIDX:.+]] = getelementptr inbounds float, float* %[[TMP3]], i64 %[[IDXPROM]]
// CHECK-NEXT: %[[TMP5:.+]] = load float, float* %[[ARRAYIDX]], align 4
// CHECK-NEXT: %[[TMP6:.+]] = load float*, float** %[[C_ADDR]], align 8
// CHECK-NEXT: %[[TMP7:.+]] = load i32, i32* %[[I]], align 4
// CHECK-NEXT: %[[IDXPROM2:.+]] = zext i32 %[[TMP7]] to i64
// CHECK-NEXT: %[[ARRAYIDX3:.+]] = getelementptr inbounds float, float* %[[TMP6]], i64 %[[IDXPROM2]]
// CHECK-NEXT: %[[TMP8:.+]] = load float, float* %[[ARRAYIDX3]], align 4
// CHECK-NEXT: %[[MUL:.+]] = fmul float %[[TMP5]], %[[TMP8]]
// CHECK-NEXT: %[[TMP9:.+]] = load float*, float** %[[D_ADDR]], align 8
// CHECK-NEXT: %[[TMP10:.+]] = load i32, i32* %[[I]], align 4
// CHECK-NEXT: %[[IDXPROM4:.+]] = zext i32 %[[TMP10]] to i64
// CHECK-NEXT: %[[ARRAYIDX5:.+]] = getelementptr inbounds float, float* %[[TMP9]], i64 %[[IDXPROM4]]
// CHECK-NEXT: %[[TMP11:.+]] = load float, float* %[[ARRAYIDX5]], align 4
// CHECK-NEXT: %[[MUL6:.+]] = fmul float %[[MUL]], %[[TMP11]]
// CHECK-NEXT: %[[TMP12:.+]] = load float*, float** %[[A_ADDR]], align 8
// CHECK-NEXT: %[[TMP13:.+]] = load i32, i32* %[[I]], align 4
// CHECK-NEXT: %[[IDXPROM7:.+]] = zext i32 %[[TMP13]] to i64
// CHECK-NEXT: %[[ARRAYIDX8:.+]] = getelementptr inbounds float, float* %[[TMP12]], i64 %[[IDXPROM7]]
// CHECK-NEXT: store float %[[MUL6]], float* %[[ARRAYIDX8]], align 4
// CHECK-NEXT: br label %[[OMP_LOOP_INC]]
// CHECK-EMPTY:
// CHECK-NEXT: [[OMP_LOOP_INC]]:
// CHECK-NEXT: %[[OMP_LOOP_NEXT]] = add nuw i32 %[[OMP_LOOP_IV]], 1
// CHECK-NEXT: br label %[[OMP_LOOP_HEADER]]
// CHECK-EMPTY:
// CHECK-NEXT: [[OMP_LOOP_EXIT:.*]]:
// CHECK-NEXT: %[[OMP_GLOBAL_THREAD_NUM9:.+]] = call i32 @__kmpc_global_thread_num(%struct.ident_t* @1)
// CHECK-NEXT: call void @__kmpc_barrier(%struct.ident_t* @2, i32 %[[OMP_GLOBAL_THREAD_NUM9]])
// CHECK-NEXT: br label %[[OMP_LOOP_AFTER:.+]]
// CHECK-EMPTY:
// CHECK-NEXT: [[OMP_LOOP_AFTER]]:
// CHECK-NEXT: ret void
// CHECK-EMPTY:
// CHECK-NEXT: [[OMP_LOOP_PREHEADER_OUTER_COND]]:
// CHECK-NEXT: %[[TMP14:.+]] = call i32 @__kmpc_dispatch_next_4u(%struct.ident_t* @1, i32 %[[OMP_GLOBAL_THREAD_NUM]], i32* %[[P_LASTITER]], i32* %[[P_LOWERBOUND]], i32* %[[P_UPPERBOUND]], i32* %[[P_STRIDE]])
// CHECK-NEXT: %[[TMP15:.+]] = icmp ne i32 %[[TMP14]], 0
// CHECK-NEXT: %[[TMP16:.+]] = load i32, i32* %[[P_LOWERBOUND]], align 4
// CHECK-NEXT: %[[LB]] = sub i32 %[[TMP16]], 1
// CHECK-NEXT: br i1 %[[TMP15]], label %[[OMP_LOOP_HEADER]], label %[[OMP_LOOP_EXIT]]
// CHECK-NEXT: }
extern "C" void workshareloop_unsigned_auto(float *a, float *b, float *c, float *d) {
#pragma omp for schedule(auto)
for (unsigned i = 33; i < 32000000; i += 7) {
a[i] = b[i] * c[i] * d[i];
}
}
#endif // HEADER
// CHECK-LABEL: define {{.*}}@__captured_stmt(
// CHECK-NEXT: [[ENTRY:.*]]:
// CHECK-NEXT: %[[DISTANCE_ADDR:.+]] = alloca i32*, align 8
// CHECK-NEXT: %[[__CONTEXT_ADDR:.+]] = alloca %struct.anon*, align 8
// CHECK-NEXT: %[[DOTSTART:.+]] = alloca i32, align 4
// CHECK-NEXT: %[[DOTSTOP:.+]] = alloca i32, align 4
// CHECK-NEXT: %[[DOTSTEP:.+]] = alloca i32, align 4
// CHECK-NEXT: store i32* %[[DISTANCE:.+]], i32** %[[DISTANCE_ADDR]], align 8
// CHECK-NEXT: store %struct.anon* %[[__CONTEXT:.+]], %struct.anon** %[[__CONTEXT_ADDR]], align 8
// CHECK-NEXT: %[[TMP0:.+]] = load %struct.anon*, %struct.anon** %[[__CONTEXT_ADDR]], align 8
// CHECK-NEXT: %[[TMP1:.+]] = getelementptr inbounds %struct.anon, %struct.anon* %[[TMP0]], i32 0, i32 0
// CHECK-NEXT: %[[TMP2:.+]] = load i32*, i32** %[[TMP1]], align 8
// CHECK-NEXT: %[[TMP3:.+]] = load i32, i32* %[[TMP2]], align 4
// CHECK-NEXT: store i32 %[[TMP3]], i32* %[[DOTSTART]], align 4
// CHECK-NEXT: store i32 32000000, i32* %[[DOTSTOP]], align 4
// CHECK-NEXT: store i32 7, i32* %[[DOTSTEP]], align 4
// CHECK-NEXT: %[[TMP4:.+]] = load i32, i32* %[[DOTSTART]], align 4
// CHECK-NEXT: %[[TMP5:.+]] = load i32, i32* %[[DOTSTOP]], align 4
// CHECK-NEXT: %[[CMP:.+]] = icmp ult i32 %[[TMP4]], %[[TMP5]]
// CHECK-NEXT: br i1 %[[CMP]], label %[[COND_TRUE:.+]], label %[[COND_FALSE:.+]]
// CHECK-EMPTY:
// CHECK-NEXT: [[COND_TRUE]]:
// CHECK-NEXT: %[[TMP6:.+]] = load i32, i32* %[[DOTSTOP]], align 4
// CHECK-NEXT: %[[TMP7:.+]] = load i32, i32* %[[DOTSTART]], align 4
// CHECK-NEXT: %[[SUB:.+]] = sub i32 %[[TMP6]], %[[TMP7]]
// CHECK-NEXT: %[[TMP8:.+]] = load i32, i32* %[[DOTSTEP]], align 4
// CHECK-NEXT: %[[SUB1:.+]] = sub i32 %[[TMP8]], 1
// CHECK-NEXT: %[[ADD:.+]] = add i32 %[[SUB]], %[[SUB1]]
// CHECK-NEXT: %[[TMP9:.+]] = load i32, i32* %[[DOTSTEP]], align 4
// CHECK-NEXT: %[[DIV:.+]] = udiv i32 %[[ADD]], %[[TMP9]]
// CHECK-NEXT: br label %[[COND_END:.+]]
// CHECK-EMPTY:
// CHECK-NEXT: [[COND_FALSE]]:
// CHECK-NEXT: br label %[[COND_END]]
// CHECK-EMPTY:
// CHECK-NEXT: [[COND_END]]:
// CHECK-NEXT: %[[COND:.+]] = phi i32 [ %[[DIV]], %[[COND_TRUE]] ], [ 0, %[[COND_FALSE]] ]
// CHECK-NEXT: %[[TMP10:.+]] = load i32*, i32** %[[DISTANCE_ADDR]], align 8
// CHECK-NEXT: store i32 %[[COND]], i32* %[[TMP10]], align 4
// CHECK-NEXT: ret void
// CHECK-NEXT: }
// CHECK-LABEL: define {{.*}}@__captured_stmt.1(
// CHECK-NEXT: [[ENTRY:.*]]:
// CHECK-NEXT: %[[LOOPVAR_ADDR:.+]] = alloca i32*, align 8
// CHECK-NEXT: %[[LOGICAL_ADDR:.+]] = alloca i32, align 4
// CHECK-NEXT: %[[__CONTEXT_ADDR:.+]] = alloca %struct.anon.0*, align 8
// CHECK-NEXT: store i32* %[[LOOPVAR:.+]], i32** %[[LOOPVAR_ADDR]], align 8
// CHECK-NEXT: store i32 %[[LOGICAL:.+]], i32* %[[LOGICAL_ADDR]], align 4
// CHECK-NEXT: store %struct.anon.0* %[[__CONTEXT:.+]], %struct.anon.0** %[[__CONTEXT_ADDR]], align 8
// CHECK-NEXT: %[[TMP0:.+]] = load %struct.anon.0*, %struct.anon.0** %[[__CONTEXT_ADDR]], align 8
// CHECK-NEXT: %[[TMP1:.+]] = getelementptr inbounds %struct.anon.0, %struct.anon.0* %[[TMP0]], i32 0, i32 0
// CHECK-NEXT: %[[TMP2:.+]] = load i32, i32* %[[TMP1]], align 4
// CHECK-NEXT: %[[TMP3:.+]] = load i32, i32* %[[LOGICAL_ADDR]], align 4
// CHECK-NEXT: %[[MUL:.+]] = mul i32 7, %[[TMP3]]
// CHECK-NEXT: %[[ADD:.+]] = add i32 %[[TMP2]], %[[MUL]]
// CHECK-NEXT: %[[TMP4:.+]] = load i32*, i32** %[[LOOPVAR_ADDR]], align 8
// CHECK-NEXT: store i32 %[[ADD]], i32* %[[TMP4]], align 4
// CHECK-NEXT: ret void
// CHECK-NEXT: }
// CHECK: ![[META0:[0-9]+]] = !{i32 1, !"wchar_size", i32 4}
// CHECK: ![[META1:[0-9]+]] = !{i32 7, !"openmp", i32 45}
// CHECK: ![[META2:[0-9]+]] =
|
sapG_fmt_plug.c | /*
* this is a SAP PASSCODE (CODEVN G) plugin for john the ripper.
* tested on linux/x86 only, rest is up to you.. at least, someone did the reversing :-)
*
* please note: this code is in a "works for me"-state, feel free to modify/speed up/clean/whatever it...
*
* (c) x7d8 sap loverz, public domain, btw
* cheers: see test-cases.
*
* Heavily modified by magnum 2011-2012 for performance and for SIMD, OMP and
* encodings support. Copyright (c) 2011, 2012 magnum, and it is hereby released
* to the general public under the following terms: Redistribution and use in
* source and binary forms, with or without modification, are permitted.
*/
#if FMT_EXTERNS_H
extern struct fmt_main fmt_sapG;
#elif FMT_REGISTERS_H
john_register_one(&fmt_sapG);
#else
#include <string.h>
#include <ctype.h>
#include "arch.h"
#ifdef MMX_COEF
#define NBKEYS (MMX_COEF * SHA1_SSE_PARA)
#endif
#include "sse-intrinsics.h"
#include "misc.h"
#include "common.h"
#include "formats.h"
#include "sha.h"
#include "options.h"
#include "unicode.h"
#include "johnswap.h"
#define FORMAT_LABEL "sapg"
#define FORMAT_NAME "SAP CODVN F/G (PASSCODE)"
#define ALGORITHM_NAME "SHA1 " SHA1_ALGORITHM_NAME
static unsigned int omp_t = 1;
#if defined(_OPENMP)
#include <omp.h>
#ifdef MMX_COEF
#define OMP_SCALE 128
#else
#define OMP_SCALE 2048
#endif
#endif
#include "memdbg.h"
#define BENCHMARK_COMMENT ""
#define BENCHMARK_LENGTH 0
#define SALT_FIELD_LENGTH 40
#define USER_NAME_LENGTH 12 /* max. length of user name in characters */
#define SALT_LENGTH (USER_NAME_LENGTH*3) /* 12 characters of UTF-8 */
#define PLAINTEXT_LENGTH 40 /* Characters of UTF-8 */
#define UTF8_PLAINTEXT_LENGTH (PLAINTEXT_LENGTH*3) /* worst case */
#define BINARY_SIZE 20
#define BINARY_ALIGN 4
#define SALT_SIZE sizeof(struct saltstruct)
#define SALT_ALIGN 4
#define CIPHERTEXT_LENGTH (SALT_LENGTH + 1 + 2*BINARY_SIZE) /* SALT + $ + 2x20 bytes for SHA1-representation */
#ifdef MMX_COEF
#define MIN_KEYS_PER_CRYPT NBKEYS
#define MAX_KEYS_PER_CRYPT NBKEYS
#define GETPOS(i, index) ( (index&(MMX_COEF-1))*4 + ((i)&60)*MMX_COEF + (3-((i)&3)) + (index>>(MMX_COEF>>1))*SHA_BUF_SIZ*MMX_COEF*4 ) //for endianity conversion
#define GETWORDPOS(i, index) ( (index&(MMX_COEF-1))*4 + ((i)&60)*MMX_COEF + (index>>(MMX_COEF>>1))*SHA_BUF_SIZ*MMX_COEF*4 )
#define GETSTARTPOS(index) ( (index&(MMX_COEF-1))*4 + (index>>(MMX_COEF>>1))*SHA_BUF_SIZ*MMX_COEF*4 )
#define GETOUTPOS(i, index) ( (index&(MMX_COEF-1))*4 + ((i)&(0xffffffff-3))*MMX_COEF + (3-((i)&3)) + (index>>(MMX_COEF>>1))*20*MMX_COEF ) //for endianity conversion
#else
#define MIN_KEYS_PER_CRYPT 1
#define MAX_KEYS_PER_CRYPT 1
#endif
//this array is from disp+work (sap's worker process)
#define MAGIC_ARRAY_SIZE 160
static const unsigned char theMagicArray[MAGIC_ARRAY_SIZE]=
{0x91, 0xAC, 0x51, 0x14, 0x9F, 0x67, 0x54, 0x43, 0x24, 0xE7, 0x3B, 0xE0, 0x28, 0x74, 0x7B, 0xC2,
0x86, 0x33, 0x13, 0xEB, 0x5A, 0x4F, 0xCB, 0x5C, 0x08, 0x0A, 0x73, 0x37, 0x0E, 0x5D, 0x1C, 0x2F,
0x33, 0x8F, 0xE6, 0xE5, 0xF8, 0x9B, 0xAE, 0xDD, 0x16, 0xF2, 0x4B, 0x8D, 0x2C, 0xE1, 0xD4, 0xDC,
0xB0, 0xCB, 0xDF, 0x9D, 0xD4, 0x70, 0x6D, 0x17, 0xF9, 0x4D, 0x42, 0x3F, 0x9B, 0x1B, 0x11, 0x94,
0x9F, 0x5B, 0xC1, 0x9B, 0x06, 0x05, 0x9D, 0x03, 0x9D, 0x5E, 0x13, 0x8A, 0x1E, 0x9A, 0x6A, 0xE8,
0xD9, 0x7C, 0x14, 0x17, 0x58, 0xC7, 0x2A, 0xF6, 0xA1, 0x99, 0x63, 0x0A, 0xD7, 0xFD, 0x70, 0xC3,
0xF6, 0x5E, 0x74, 0x13, 0x03, 0xC9, 0x0B, 0x04, 0x26, 0x98, 0xF7, 0x26, 0x8A, 0x92, 0x93, 0x25,
0xB0, 0xA2, 0x0D, 0x23, 0xED, 0x63, 0x79, 0x6D, 0x13, 0x32, 0xFA, 0x3C, 0x35, 0x02, 0x9A, 0xA3,
0xB3, 0xDD, 0x8E, 0x0A, 0x24, 0xBF, 0x51, 0xC3, 0x7C, 0xCD, 0x55, 0x9F, 0x37, 0xAF, 0x94, 0x4C,
0x29, 0x08, 0x52, 0x82, 0xB2, 0x3B, 0x4E, 0x37, 0x9F, 0x17, 0x07, 0x91, 0x11, 0x3B, 0xFD, 0xCD };
// For backwards compatibility, we must support salts padded with spaces to a field width of 40
static struct fmt_tests tests[] = {
{"DDIC$6066CD3147915331EC4C602847D27A75EB3E8F0A", "DDIC"},
// invalid, because password is too short (would work during login, but not during password change),
// magnum wants to keep thesse tests anyway, because they help verifying key buffer cleaning:
{"F $646A0AD270DF651065669A45D171EDD62DFE39A1", "X"},
{"JOHNNY $7D79B478E70CAAE63C41E0824EAB644B9070D10A", "CYBERPUNK"},
{"VAN$D15597367F24090F0A501962788E9F19B3604E73", "hauser"},
{"ROOT$1194E38F14B9F3F8DA1B181F14DEB70E7BDCC239", "KID"},
// invalid, because password is too short (would work during login, but not during password change):
{"MAN$22886450D0AB90FDA7F91C4F3DD5619175B372EA", "u"},
#if 0
// This test case is invalid since the user name can just be
// up to 12 characters long.
// So, unless the user name doesn't contain non-ascii characters,
// it will not be longer than 12 bytes.
// Also, "-------" is not a valid SAP password, since the first 3 characters
// are identical.
{"------------------------------------$463BDDCF2D2D6E07FC64C075A0802BD87A39BBA6", "-------"},
#else
// SAP user name consisting of 12 consecutive EURO characters:
{"\xe2\x82\xac\xe2\x82\xac\xe2\x82\xac\xe2\x82\xac\xe2\x82\xac\xe2\x82\xac"
"\xe2\x82\xac\xe2\x82\xac\xe2\x82\xac\xe2\x82\xac\xe2\x82\xac\xe2\x82\xac"
"$B20D15C088481780CD44FCF2003AAAFBD9710C7C", "--+----"},
#endif
{"SAP* $60A0F7E06D95BC9FB45F605BDF1F7B660E5D5D4E", "MaStEr"},
{"DOLLAR$$$---$E0180FD4542D8B6715E7D0D9EDE7E2D2E40C3D4D", "Dollar$$$---"},
{NULL}
};
static UTF8 (*saved_plain)[UTF8_PLAINTEXT_LENGTH + 1];
static int *keyLen;
#ifdef MMX_COEF
// max intermediate crypt size is 256 bytes
// multiple key buffers for lengths > 55
#define LIMB 5
static unsigned char *saved_key[LIMB];
static unsigned char *crypt_key;
static unsigned char *interm_crypt;
static unsigned int *clean_pos;
#else
static UTF8 (*saved_key)[UTF8_PLAINTEXT_LENGTH + 1];
static ARCH_WORD_32 (*crypt_key)[BINARY_SIZE / sizeof(ARCH_WORD_32)];
#endif
static struct saltstruct {
unsigned int l;
unsigned char s[SALT_LENGTH];
} *cur_salt;
static void init(struct fmt_main *self)
{
static int warned = 0;
#ifdef MMX_COEF
int i;
#endif
// This is needed in order NOT to upper-case german double-s
// in UTF-8 mode.
initUnicode(UNICODE_MS_NEW);
if (!options.listconf && pers_opts.target_enc != UTF_8 &&
!(options.flags & FLG_TEST_CHK) && warned++ == 0)
fprintf(stderr, "Warning: SAP-F/G format should always be UTF-8.\nConvert your input files to UTF-8 and use --input-encoding=utf8\n");
// Max 40 characters or 120 bytes of UTF-8, We actually do not truncate
// multibyte input at 40 characters because it's too expensive.
if (pers_opts.target_enc == UTF_8)
self->params.plaintext_length = UTF8_PLAINTEXT_LENGTH;
#if defined (_OPENMP)
omp_t = omp_get_max_threads();
self->params.min_keys_per_crypt = omp_t * MIN_KEYS_PER_CRYPT;
omp_t *= OMP_SCALE;
self->params.max_keys_per_crypt = omp_t * MAX_KEYS_PER_CRYPT;
#endif
saved_plain = mem_calloc_tiny(sizeof(*saved_plain) * self->params.max_keys_per_crypt, MEM_ALIGN_NONE);
keyLen = mem_calloc_tiny(sizeof(*keyLen) * self->params.max_keys_per_crypt, MEM_ALIGN_WORD);
#ifdef MMX_COEF
clean_pos = mem_calloc_tiny(sizeof(*clean_pos) * self->params.max_keys_per_crypt, MEM_ALIGN_WORD);
for(i = 0; i < LIMB; i++)
saved_key[i] = mem_calloc_tiny(SHA_BUF_SIZ*4 * self->params.max_keys_per_crypt, MEM_ALIGN_SIMD);
interm_crypt = mem_calloc_tiny(20 * self->params.max_keys_per_crypt, MEM_ALIGN_SIMD);
crypt_key = mem_calloc_tiny(20 * self->params.max_keys_per_crypt, MEM_ALIGN_SIMD);
#else
crypt_key = mem_calloc_tiny(sizeof(*crypt_key) * self->params.max_keys_per_crypt, MEM_ALIGN_WORD);
saved_key = saved_plain;
#endif
}
static int valid(char *ciphertext, struct fmt_main *self)
{
int i, j;
char *p;
if (!ciphertext) return 0;
p = strrchr(ciphertext, '$');
if (!p) return 0;
if (p - ciphertext > SALT_FIELD_LENGTH) return 0;
if (strlen(&p[1]) != BINARY_SIZE * 2) return 0;
j = 0;
for (i = 0; i < p - ciphertext; i++) {
// even those lower case non-ascii characters with a
// corresponding upper case character could be rejected
if (ciphertext[i] >= 'a' && ciphertext[i] <= 'z')
return 0;
else if (ciphertext[i] & 0x80)
j++;
// Reject if user name is longer than 12 characters.
// This is not accurate, but close enough.
// To be exact, I'd need to keep j unchanged for
// the first byte of each character, instead of
// incrementing j for every byte >= 0x80.
if (i >= USER_NAME_LENGTH + j && ciphertext[i] != ' ')
return 0;
}
// SAP user name cannot start with ! or ?
if (ciphertext[0] == '!' || ciphertext[0] == '?') return 0;
p++;
// SAP and sap2john.pl always use upper case A-F for hashes,
// so don't allow a-f
for (i = 0; i < BINARY_SIZE * 2; i++)
if (!(((p[i]>='0' && p[i]<='9')) ||
((p[i]>='A' && p[i]<='F')) ))
return 0;
return 1;
}
static void set_salt(void *salt)
{
cur_salt = salt;
}
static void *get_salt(char *ciphertext)
{
char *p;
static struct saltstruct out;
p = strrchr(ciphertext, '$');
out.l = (int)(p - ciphertext);
memset(out.s, 0, sizeof(out.s));
memcpy(out.s, ciphertext, out.l);
return &out;
}
static void clear_keys(void)
{
memset(keyLen, 0, sizeof(*keyLen) * omp_t * MAX_KEYS_PER_CRYPT);
}
static void set_key(char *key, int index)
{
memcpy((char*)saved_plain[index], key, UTF8_PLAINTEXT_LENGTH);
keyLen[index] = -1;
}
static char *get_key(int index) {
return (char*)saved_plain[index];
}
static int cmp_all(void *binary, int count) {
#ifdef MMX_COEF
unsigned int x,y=0;
#ifdef _OPENMP
for(;y<SHA1_SSE_PARA*omp_t;y++)
#else
for(;y<SHA1_SSE_PARA;y++)
#endif
for(x=0;x<MMX_COEF;x++)
{
if( ((unsigned int*)binary)[0] == ((unsigned int*)crypt_key)[x+y*MMX_COEF*5] )
return 1;
}
return 0;
#else
unsigned int index;
for (index = 0; index < count; index++)
if (!memcmp(binary, crypt_key[index], BINARY_SIZE))
return 1;
return 0;
#endif
}
static int cmp_exact(char *source, int index){
return 1;
}
static int cmp_one(void *binary, int index)
{
#ifdef MMX_COEF
unsigned int x,y;
x = index&(MMX_COEF-1);
y = index>>(MMX_COEF>>1);
if( (((unsigned int*)binary)[0] != ((unsigned int*)crypt_key)[x+y*MMX_COEF*5]) |
(((unsigned int*)binary)[1] != ((unsigned int*)crypt_key)[x+y*MMX_COEF*5+MMX_COEF]) |
(((unsigned int*)binary)[2] != ((unsigned int*)crypt_key)[x+y*MMX_COEF*5+2*MMX_COEF]) |
(((unsigned int*)binary)[3] != ((unsigned int*)crypt_key)[x+y*MMX_COEF*5+3*MMX_COEF])|
(((unsigned int*)binary)[4] != ((unsigned int*)crypt_key)[x+y*MMX_COEF*5+4*MMX_COEF]) )
return 0;
return 1;
#else
return !memcmp(binary, crypt_key[index], BINARY_SIZE);
#endif
}
/*
* calculate the length of data that has to be hashed from the magic array. pass the first hash result in here.
* this is part of the walld0rf-magic
* The return value will always be between 32 and 82, inclusive
*/
#if MMX_COEF
static inline unsigned int extractLengthOfMagicArray(unsigned const char *pbHashArray, unsigned int index)
#else
static inline unsigned int extractLengthOfMagicArray(unsigned const char *pbHashArray)
#endif
{
unsigned int modSum = 0;
#if MMX_COEF
unsigned const char *p = &pbHashArray[GETOUTPOS(3, index)];
modSum += *p++ % 6;
modSum += *p++ % 6;
modSum += *p++ % 6;
modSum += *p++ % 6;
p += 4*(MMX_COEF - 1);
modSum += *p++ % 6;
modSum += *p++ % 6;
modSum += *p++ % 6;
modSum += *p++ % 6;
p += 4*(MMX_COEF - 1) + 2;
modSum += *p++ % 6;
modSum += *p % 6;
#else
unsigned int i;
for (i=0; i<=9; i++)
modSum += pbHashArray[i] % 6;
#endif
return modSum + 0x20; //0x20 is hardcoded...
}
/*
* Calculate the offset into the magic array. pass the first hash result in here
* part of the walld0rf-magic
* The return value will always be between 0 and 70, inclusive
*/
#if MMX_COEF
static inline unsigned int extractOffsetToMagicArray(unsigned const char *pbHashArray, unsigned int index)
#else
static inline unsigned int extractOffsetToMagicArray(unsigned const char *pbHashArray)
#endif
{
unsigned int modSum = 0;
#if MMX_COEF
unsigned const int *p = (unsigned int*)&pbHashArray[GETOUTPOS(11, index)];
unsigned int temp;
temp = *p & 0x0707;
modSum += (temp >> 8) + (unsigned char)temp;
p += MMX_COEF;
temp = *p & 0x07070707;
modSum += (temp >> 24) + (unsigned char)(temp >> 16) +
(unsigned char)(temp >> 8) + (unsigned char)temp;
p += MMX_COEF;
temp = *p & 0x07070707;
modSum += (temp >> 24) + (unsigned char)(temp >> 16) +
(unsigned char)(temp >> 8) + (unsigned char)temp;
#else
unsigned int i;
for (i = 19; i >= 10; i--)
modSum += pbHashArray[i] % 8;
#endif
return modSum;
}
#if MMX_COEF
static inline void crypt_done(unsigned const int *source, unsigned int *dest, int index)
{
unsigned int i;
unsigned const int *s = &source[(index&(MMX_COEF-1)) + (index>>(MMX_COEF>>1))*5*MMX_COEF];
unsigned int *d = &dest[(index&(MMX_COEF-1)) + (index>>(MMX_COEF>>1))*5*MMX_COEF];
for (i = 0; i < 5; i++) {
*d = *s;
s += MMX_COEF;
d += MMX_COEF;
}
}
#endif
static int crypt_all(int *pcount, struct db_salt *salt)
{
int count = *pcount;
#if MMX_COEF
#if defined(_OPENMP)
int t;
#pragma omp parallel for
for (t = 0; t < omp_t; t++)
#define ti (t*NBKEYS+index)
#else
#define t 0
#define ti index
#endif
{
unsigned int index, i, longest;
int len;
unsigned int crypt_len[NBKEYS];
longest = 0;
for (index = 0; index < NBKEYS; index++) {
// Store key into vector key buffer
if ((len = keyLen[ti]) < 0) {
ARCH_WORD_32 *keybuf_word = (ARCH_WORD_32*)&saved_key[0][GETSTARTPOS(ti)];
const ARCH_WORD_32 *wkey = (ARCH_WORD_32*)saved_plain[ti];
ARCH_WORD_32 temp;
len = 0;
while(((unsigned char)(temp = *wkey++))) {
if (!(temp & 0xff00))
{
*keybuf_word = JOHNSWAP(temp & 0xff);
len++;
break;
}
if (!(temp & 0xff0000))
{
*keybuf_word = JOHNSWAP(temp & 0xffff);
len+=2;
break;
}
*keybuf_word = JOHNSWAP(temp);
if (!(temp & 0xff000000))
{
len+=3;
break;
}
len += 4;
if (len & 63)
keybuf_word += MMX_COEF;
else
keybuf_word = (ARCH_WORD_32*)&saved_key[len>>6][GETSTARTPOS(ti)];
}
// Back-out of trailing spaces
while(len && saved_plain[ti][len - 1] == ' ')
saved_plain[ti][--len] = 0;
keyLen[ti] = len;
}
// 1. we need to SHA1 the password and username
for (i = 0; i < cur_salt->l; i++)
saved_key[(len+i)>>6][GETPOS((len + i), ti)] = cur_salt->s[i];
len += i;
saved_key[len>>6][GETPOS(len, ti)] = 0x80;
// Clean rest of this buffer
i = len;
while (++i & 3)
saved_key[i>>6][GETPOS(i, ti)] = 0;
for (; i < (((len+8)>>6)+1)*64; i += 4)
*(ARCH_WORD_32*)&saved_key[i>>6][GETWORDPOS(i, ti)] = 0;
// This should do good but Valgrind insists it's a waste
//if (clean_pos[ti] < i)
// clean_pos[ti] = len + 1;
if (len > longest)
longest = len;
((unsigned int*)saved_key[(len+8)>>6])[15*MMX_COEF + (ti&3) + (ti>>2)*SHA_BUF_SIZ*MMX_COEF] = len << 3;
crypt_len[index] = len;
}
SSESHA1body(&saved_key[0][t*SHA_BUF_SIZ*4*NBKEYS], (unsigned int*)&crypt_key[t*20*NBKEYS], NULL, SSEi_MIXED_IN);
// Do another and possibly a third limb
memcpy(&interm_crypt[t*20*NBKEYS], &crypt_key[t*20*NBKEYS], 20*NBKEYS);
for (i = 1; i < (((longest + 8) >> 6) + 1); i++) {
SSESHA1body(&saved_key[i][t*SHA_BUF_SIZ*4*NBKEYS], (unsigned int*)&interm_crypt[t*20*NBKEYS], (unsigned int*)&interm_crypt[t*20*NBKEYS], SSEi_MIXED_IN|SSEi_RELOAD);
// Copy any output that is done now
for (index = 0; index < NBKEYS; index++)
if (((crypt_len[index] + 8) >> 6) == i)
crypt_done((unsigned int*)interm_crypt, (unsigned int*)crypt_key, ti);
}
longest = 0;
for (index = 0; index < NBKEYS; index++) {
unsigned int offsetMagicArray;
unsigned int lengthIntoMagicArray;
const unsigned char *p;
int i;
// If final crypt ends up to be 56-61 bytes (or so), this must be clean
for (i = 0; i < LIMB; i++)
if (keyLen[ti] < i * 64 + 55)
((unsigned int*)saved_key[i])[15*MMX_COEF + (ti&3) + (ti>>2)*SHA_BUF_SIZ*MMX_COEF] = 0;
len = keyLen[ti];
lengthIntoMagicArray = extractLengthOfMagicArray(crypt_key, ti);
offsetMagicArray = extractOffsetToMagicArray(crypt_key, ti);
// 2. now, hash again --> sha1($password+$partOfMagicArray+$username) --> this is CODVNG passcode...
i = len - 1;
p = &theMagicArray[offsetMagicArray];
// Copy a char at a time until aligned (at destination)...
while (++i & 3)
saved_key[i>>6][GETPOS(i, ti)] = *p++;
// ...then a word at a time. This is a good boost, we are copying between 32 and 82 bytes here.
for (;i < lengthIntoMagicArray + len; i += 4, p += 4)
*(ARCH_WORD_32*)&saved_key[i>>6][GETWORDPOS(i, ti)] = JOHNSWAP(*(ARCH_WORD_32*)p);
// Now, the salt. This is typically too short for the stunt above.
for (i = 0; i < cur_salt->l; i++)
saved_key[(len+lengthIntoMagicArray+i)>>6][GETPOS((len + lengthIntoMagicArray + i), ti)] = cur_salt->s[i];
len += lengthIntoMagicArray + cur_salt->l;
saved_key[len>>6][GETPOS(len, ti)] = 0x80;
crypt_len[index] = len;
// Clean the rest of this buffer as needed
i = len;
while (++i & 3)
saved_key[i>>6][GETPOS(i, ti)] = 0;
for (; i < clean_pos[ti]; i += 4)
*(ARCH_WORD_32*)&saved_key[i>>6][GETWORDPOS(i, ti)] = 0;
clean_pos[ti] = len + 1;
if (len > longest)
longest = len;
((unsigned int*)saved_key[(len+8)>>6])[15*MMX_COEF + (ti&3) + (ti>>2)*SHA_BUF_SIZ*MMX_COEF] = len << 3;
}
SSESHA1body(&saved_key[0][t*SHA_BUF_SIZ*4*NBKEYS], (unsigned int*)&interm_crypt[t*20*NBKEYS], NULL, SSEi_MIXED_IN);
// Typically, no or very few crypts are done at this point so this is faster than to memcpy the lot
for (index = 0; index < NBKEYS; index++)
if (crypt_len[index] < 56)
crypt_done((unsigned int*)interm_crypt, (unsigned int*)crypt_key, ti);
// Do another and possibly a third, fourth and fifth limb
for (i = 1; i < (((longest + 8) >> 6) + 1); i++) {
SSESHA1body(&saved_key[i][t*SHA_BUF_SIZ*4*NBKEYS], (unsigned int*)&interm_crypt[t*20*NBKEYS], (unsigned int*)&interm_crypt[t*20*NBKEYS], SSEi_MIXED_IN|SSEi_RELOAD);
// Copy any output that is done now
for (index = 0; index < NBKEYS; index++)
if (((crypt_len[index] + 8) >> 6) == i)
crypt_done((unsigned int*)interm_crypt, (unsigned int*)crypt_key, ti);
}
}
#undef t
#undef ti
#else
#ifdef _OPENMP
int index;
#pragma omp parallel for
for (index = 0; index < count; index++)
#else
#define index 0
#endif
{
unsigned int offsetMagicArray, lengthIntoMagicArray;
unsigned char temp_key[BINARY_SIZE];
unsigned char tempVar[UTF8_PLAINTEXT_LENGTH + MAGIC_ARRAY_SIZE + SALT_LENGTH]; //max size...
SHA_CTX ctx;
if (keyLen[index] < 0) {
keyLen[index] = strlen((char*)saved_key[index]);
// Back-out of trailing spaces
while (saved_key[index][keyLen[index] - 1] == ' ') {
saved_key[index][--keyLen[index]] = 0;
if (keyLen[index] == 0) break;
}
}
//1. we need to SHA1 the password and username
memcpy(tempVar, saved_key[index], keyLen[index]); //first: the password
memcpy(tempVar + keyLen[index], cur_salt->s, cur_salt->l); //second: the salt(username)
SHA1_Init(&ctx);
SHA1_Update(&ctx, tempVar, keyLen[index] + cur_salt->l);
SHA1_Final((unsigned char*)temp_key, &ctx);
lengthIntoMagicArray = extractLengthOfMagicArray(temp_key);
offsetMagicArray = extractOffsetToMagicArray(temp_key);
//2. now, hash again --> sha1($password+$partOfMagicArray+$username) --> this is CODVNG passcode...
memcpy(tempVar + keyLen[index], &theMagicArray[offsetMagicArray], lengthIntoMagicArray);
memcpy(tempVar + keyLen[index] + lengthIntoMagicArray, cur_salt->s, cur_salt->l);
SHA1_Init(&ctx);
SHA1_Update(&ctx, tempVar, keyLen[index] + lengthIntoMagicArray + cur_salt->l);
SHA1_Final((unsigned char*)crypt_key[index], &ctx);
}
#undef index
#endif
return count;
}
static void *binary(char *ciphertext)
{
static int outbuf[BINARY_SIZE / sizeof(int)];
char *realcipher = (char*)outbuf;
int i;
char* newCiphertextPointer;
newCiphertextPointer = strrchr(ciphertext, '$') + 1;
for(i=0;i<BINARY_SIZE;i++)
{
realcipher[i] = atoi16[ARCH_INDEX(newCiphertextPointer[i*2])]*16 + atoi16[ARCH_INDEX(newCiphertextPointer[i*2+1])];
}
#ifdef MMX_COEF
alter_endianity((unsigned char*)realcipher, BINARY_SIZE);
#endif
return (void*)realcipher;
}
#if 0 // Not possible with current interface
static char *source(struct db_password *pw, char Buf[LINE_BUFFER_SIZE] )
{
struct saltstruct *salt_s = (struct saltstruct*)(pw->source);
unsigned char realcipher[BINARY_SIZE];
unsigned char *cpi;
char *cpo;
int i;
memcpy(realcipher, pw->binary, BINARY_SIZE);
#ifdef MMX_COEF
alter_endianity(realcipher, BINARY_SIZE);
#endif
memcpy(Buf, salt_s->s, salt_s->l);
cpo = &Buf[salt_s->l];
*cpo++ = '$';
cpi = realcipher;
for (i = 0; i < BINARY_SIZE; ++i) {
*cpo++ = itoa16u[(*cpi)>>4];
*cpo++ = itoa16u[*cpi&0xF];
++cpi;
}
*cpo = 0;
return Buf;
}
#endif
#ifdef MMX_COEF
#define KEY_OFF ((index/MMX_COEF)*MMX_COEF*5+(index&(MMX_COEF-1)))
static int get_hash_0(int index) { return ((ARCH_WORD_32*)crypt_key)[KEY_OFF] & 0xf; }
static int get_hash_1(int index) { return ((ARCH_WORD_32*)crypt_key)[KEY_OFF] & 0xff; }
static int get_hash_2(int index) { return ((ARCH_WORD_32*)crypt_key)[KEY_OFF] & 0xfff; }
static int get_hash_3(int index) { return ((ARCH_WORD_32*)crypt_key)[KEY_OFF] & 0xffff; }
static int get_hash_4(int index) { return ((ARCH_WORD_32*)crypt_key)[KEY_OFF] & 0xfffff; }
static int get_hash_5(int index) { return ((ARCH_WORD_32*)crypt_key)[KEY_OFF] & 0xffffff; }
static int get_hash_6(int index) { return ((ARCH_WORD_32*)crypt_key)[KEY_OFF] & 0x7ffffff; }
#else
static int get_hash_0(int index) { return *(ARCH_WORD_32*)crypt_key[index] & 0xf; }
static int get_hash_1(int index) { return *(ARCH_WORD_32*)crypt_key[index] & 0xff; }
static int get_hash_2(int index) { return *(ARCH_WORD_32*)crypt_key[index] & 0xfff; }
static int get_hash_3(int index) { return *(ARCH_WORD_32*)crypt_key[index] & 0xffff; }
static int get_hash_4(int index) { return *(ARCH_WORD_32*)crypt_key[index] & 0xfffff; }
static int get_hash_5(int index) { return *(ARCH_WORD_32*)crypt_key[index] & 0xffffff; }
static int get_hash_6(int index) { return *(ARCH_WORD_32*)crypt_key[index] & 0x7ffffff; }
#endif
// Here, we remove any salt padding and trim it to 36 bytes
static char *split(char *ciphertext, int index, struct fmt_main *self)
{
static char out[CIPHERTEXT_LENGTH + 1];
char *p;
int i;
p = strrchr(ciphertext, '$');
i = (int)(p - ciphertext) - 1;
while (ciphertext[i] == ' ' || i >= SALT_LENGTH)
i--;
i++;
memset(out, 0, sizeof(out));
memcpy(out, ciphertext, i);
strnzcpy(&out[i], p, CIPHERTEXT_LENGTH + 1 - i);
return out;
}
// Public domain hash function by DJ Bernstein
static int salt_hash(void *salt)
{
struct saltstruct *s = (struct saltstruct*)salt;
unsigned int hash = 5381;
unsigned int i;
for (i = 0; i < s->l; i++)
hash = ((hash << 5) + hash) ^ s->s[i];
return hash & (SALT_HASH_SIZE - 1);
}
static void done(void)
{
initUnicode(UNICODE_UNICODE);
}
struct fmt_main fmt_sapG = {
{
FORMAT_LABEL,
FORMAT_NAME,
ALGORITHM_NAME,
BENCHMARK_COMMENT,
BENCHMARK_LENGTH,
PLAINTEXT_LENGTH,
BINARY_SIZE,
BINARY_ALIGN,
SALT_SIZE,
SALT_ALIGN,
MIN_KEYS_PER_CRYPT,
MAX_KEYS_PER_CRYPT,
#if !defined(MMX_COEF) || defined(SHA1_SSE_PARA)
FMT_OMP |
#endif
FMT_CASE | FMT_8_BIT | FMT_UTF8,
#if FMT_MAIN_VERSION > 11
{ NULL },
#endif
tests
}, {
init,
done,
fmt_default_reset,
fmt_default_prepare,
valid,
split,
binary,
get_salt,
#if FMT_MAIN_VERSION > 11
{ NULL },
#endif
fmt_default_source,
{
fmt_default_binary_hash_0,
fmt_default_binary_hash_1,
fmt_default_binary_hash_2,
fmt_default_binary_hash_3,
fmt_default_binary_hash_4,
fmt_default_binary_hash_5,
fmt_default_binary_hash_6
},
salt_hash,
set_salt,
set_key,
get_key,
clear_keys,
crypt_all,
{
get_hash_0,
get_hash_1,
get_hash_2,
get_hash_3,
get_hash_4,
get_hash_5,
get_hash_6
},
cmp_all,
cmp_one,
cmp_exact
}
};
#endif /* plugin stanza */
|
putty_fmt_plug.c | /* PuTTY private key cracker patch for JtR. Hacked together during Monsoon of
* 2012 by Dhiru Kholia <dhiru.kholia at gmail.com> .
*
* This software is Copyright (c) 2012, Dhiru Kholia <dhiru.kholia at gmail.com>
*
* p-ppk-crack v0.5 made by michu@neophob.com -- PuTTY private key cracker
*
* Source code based on putty svn version, check
* http://www.chiark.greenend.org.uk/~sgtatham/putty/licence.html
*/
#if FMT_EXTERNS_H
extern struct fmt_main fmt_putty;
#elif FMT_REGISTERS_H
john_register_one(&fmt_putty);
#else
#include <string.h>
#include "arch.h"
#include "params.h"
#include "common.h"
#include "formats.h"
#include "misc.h"
#include "aes.h"
#include "sha.h"
#include <openssl/evp.h>
#include "hmac_sha.h"
#include "loader.h"
#ifdef _OPENMP
#include <omp.h>
#ifndef OMP_SCALE
#define OMP_SCALE 64
#endif
#endif
#include "memdbg.h"
#define FORMAT_LABEL "PuTTY"
#define FORMAT_NAME "Private Key (RSA/DSA/ECDSA/ED25519)"
#define FORMAT_TAG "$putty$"
#define FORMAT_TAG_LEN (sizeof(FORMAT_TAG)-1)
#define ALGORITHM_NAME "SHA1/AES 32/" ARCH_BITS_STR
#define BENCHMARK_COMMENT ""
#define BENCHMARK_LENGTH -1001
#define PLAINTEXT_LENGTH 32
#define BINARY_SIZE 0
#define BINARY_ALIGN 1
#define SALT_SIZE sizeof(struct custom_salt)
#define SALT_ALIGN 4
#define MIN_KEYS_PER_CRYPT 1
#define MAX_KEYS_PER_CRYPT 1
#if defined (_OPENMP)
static int omp_t = 1;
#endif
#define PUT_32BIT_MSB_FIRST(cp, value) ( \
(cp)[0] = (unsigned char)((value) >> 24), \
(cp)[1] = (unsigned char)((value) >> 16), \
(cp)[2] = (unsigned char)((value) >> 8), \
(cp)[3] = (unsigned char)(value) )
#define PUT_32BIT(cp, value) PUT_32BIT_MSB_FIRST(cp, value)
static char (*saved_key)[PLAINTEXT_LENGTH + 1];
static int *cracked;
static int any_cracked;
static size_t cracked_size;
static struct custom_salt {
int is_mac, old_fmt;
char alg[32];
int cipher, cipherblk;
int public_blob_len, private_blob_len;
char encryption[32];
char mac[20];
char comment[512];
unsigned char public_blob[4096];
unsigned char private_blob[4096];
} *cur_salt;
static struct fmt_tests putty_tests[] = {
{"$putty$1*16*1*0*10c434c33cf160352b7a5b3a1ecd8434f1066cac*432*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*32*b38180c482949f3b4f44a20fd599c2cb411c671b4b120663bef9a61b360e442a*ssh-dss*aes256-cbc*dsa-key-20120721", "password"},
{"$putty$1*16*1*0*0dbfd7b4ec870df2fb8becc9efa6feeec683cd98*149*000000077373682d727361000000012500000081008ffc01db52ff6543a67b747e9882d04c32dc769b0b1fa575e1e838133d0bc381291af654b112a6ead07b157e5556d2052c7d516b605415687769f1095e2107067e08cc569e6382b31a42d93bbb4c189c01469872b65e50af3f81ed651cb4144c556cadefda8706f00c65699a074fc4fa5843a8370852d04b8f5575f0f2186611*352*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*ssh-rsa*aes256-cbc*rsa-key-20120721", "openwall"},
/* PuTTYgen 0.70 from July, 2017 */
{"$putty$1*16*1*0*69396df4513221459e8302f2b84b56d1f078cce1*51*0000000b7373682d6564323535313900000020abed4c34945b8e98fad03669eba5911b5890e7070d5212547128c2b586c9cba5*48*878992fc0f3bd20a88d182bb9f765ceb259e1076da2c7d4a0987b95bc692c690886f2020b5959399550cb9224cc71f1a*ssh-ed25519*aes256-cbc*ed25519-key-20170722", "openwall"},
{"$putty$1*16*1*0*d931af6335088577da918d60a77f3c097d76620a*104*0000001365636473612d736861322d6e69737470323536000000086e6973747032353600000041046bb900eb809a5be6ec1bda5aac286ac9a2e0c7e0bfab317623ccf9b8b47baaedc0a2498287df6cb3a07165461b40ac1dba2f492be96ec841bfcbf93df9d31a43*48*ba7ba53ca50e05e15ba4ea19f2c6891298af84bf7280ea4bdcb7fa0611a9816a5966f972cd4a1eee37a42ac69489601c*ecdsa-sha2-nistp256*aes256-cbc*ecdsa-key-20170722", "openwall"},
{NULL}
};
static void init(struct fmt_main *self)
{
#if defined (_OPENMP)
omp_t = omp_get_max_threads();
self->params.min_keys_per_crypt *= omp_t;
omp_t *= OMP_SCALE;
self->params.max_keys_per_crypt *= omp_t;
#endif
saved_key = mem_calloc(self->params.max_keys_per_crypt,
sizeof(*saved_key));
any_cracked = 0;
cracked_size = sizeof(*cracked) * self->params.max_keys_per_crypt;
cracked = mem_calloc(self->params.max_keys_per_crypt,
sizeof(*cracked));
}
static void done(void)
{
MEM_FREE(cracked);
MEM_FREE(saved_key);
}
static int valid(char *ciphertext, struct fmt_main *self)
{
char *ctcopy;
char *keeptr;
char *p;
int res, extra;
int is_old_fmt;
if (strncmp(ciphertext, FORMAT_TAG, FORMAT_TAG_LEN))
return 0;
ctcopy = strdup(ciphertext);
keeptr = ctcopy;
ctcopy += FORMAT_TAG_LEN;
if ((p = strtokm(ctcopy, "*")) == NULL) /* cipher */
goto err;
if (!isdec(p))
goto err;
res = atoi(p);
if (res != 1) /* check cipher type */
goto err;
if ((p = strtokm(NULL, "*")) == NULL) /* cipher block length*/
goto err;
if (!isdec(p))
goto err;
res = atoi(p);
if (res != 16) /* check cipher block length */
goto err;
if ((p = strtokm(NULL, "*")) == NULL) /* is_mac */
goto err;
if (!isdec(p))
goto err;
res = atoi(p);
if (res != 0 && res != 1)
goto err;
if ((p = strtokm(NULL, "*")) == NULL) /* old_fmt */
goto err;
if (!isdec(p))
goto err;
is_old_fmt = atoi(p);
if (is_old_fmt != 0 && is_old_fmt!= 1)
goto err;
if ((p = strtokm(NULL, "*")) == NULL) /* mac */
goto err;
res = strlen(p);
if (res > 128)
goto err;
if (hexlenl(p, &extra) != res || extra)
goto err;
if ((p = strtokm(NULL, "*")) == NULL) /* public_blob_len */
goto err;
if (!isdec(p))
goto err;
res = atoi(p);
if (res > 4096)
goto err;
if ((p = strtokm(NULL, "*")) == NULL) /* public_blob */
goto err;
if (hexlenl(p, &extra) != res * 2 || extra)
goto err;
if ((p = strtokm(NULL, "*")) == NULL) /* private_blob_len */
goto err;
if (!isdec(p))
goto err;
res = atoi(p);
if (res > 4096)
goto err;
if ((p = strtokm(NULL, "*")) == NULL) /* private_blob */
goto err;
if (hexlenl(p, &extra) != res * 2 || extra)
goto err;
if (!is_old_fmt) {
if ((p = strtokm(NULL, "*")) == NULL) /* alg */
goto err;
if (strlen(p) > 31)
goto err;
if ((p = strtokm(NULL, "*")) == NULL) /* encryption */
goto err;
if (strlen(p) > 32)
goto err;
if ((p = strtokm(NULL, "*")) == NULL) /* comment */
goto err;
if (strlen(p) > 512)
goto err;
}
MEM_FREE(keeptr);
return 1;
err:
MEM_FREE(keeptr);
return 0;
}
static void *get_salt(char *ciphertext)
{
char *ctcopy = strdup(ciphertext);
char *keeptr = ctcopy;
int i;
char *p;
/* ensure alignment */
static union {
struct custom_salt _cs;
uint32_t dummy;
} un;
struct custom_salt *cs = &(un._cs);
memset(cs, 0, sizeof(un));
ctcopy += FORMAT_TAG_LEN; /* skip over "$putty$" marker */
p = strtokm(ctcopy, "*");
cs->cipher = atoi(p);
p = strtokm(NULL, "*");
cs->cipherblk = atoi(p);
p = strtokm(NULL, "*");
cs->is_mac = atoi(p);
p = strtokm(NULL, "*");
cs->old_fmt = atoi(p);
p = strtokm(NULL, "*");
for (i = 0; i < 20; i++)
cs->mac[i] =
atoi16[ARCH_INDEX(p[i * 2])] * 16 +
atoi16[ARCH_INDEX(p[i * 2 + 1])];
p = strtokm(NULL, "*");
cs->public_blob_len = atoi(p);
p = strtokm(NULL, "*");
for (i = 0; i < cs->public_blob_len; i++)
cs->public_blob[i] =
atoi16[ARCH_INDEX(p[i * 2])] * 16 +
atoi16[ARCH_INDEX(p[i * 2 + 1])];
p = strtokm(NULL, "*");
cs->private_blob_len = atoi(p);
p = strtokm(NULL, "*");
for (i = 0; i < cs->private_blob_len; i++)
cs->private_blob[i] =
atoi16[ARCH_INDEX(p[i * 2])] * 16 +
atoi16[ARCH_INDEX(p[i * 2 + 1])];
if (!cs->old_fmt) {
p = strtokm(NULL, "*");
strcpy(cs->alg, p);
p = strtokm(NULL, "*");
strcpy(cs->encryption, p);
p = strtokm(NULL, "*");
strcpy(cs->comment, p);
}
MEM_FREE(keeptr);
return (void *)cs;
}
static void set_salt(void *salt)
{
cur_salt = (struct custom_salt *)salt;
}
static void putty_set_key(char *key, int index)
{
int saved_len = strlen(key);
if (saved_len > PLAINTEXT_LENGTH)
saved_len = PLAINTEXT_LENGTH;
memcpy(saved_key[index], key, saved_len);
saved_key[index][saved_len] = 0;
}
static char *get_key(int index)
{
return saved_key[index];
}
static void SHA_Simple(void *p, int len, unsigned char *output)
{
SHA_CTX ctx;
SHA1_Init(&ctx);
SHA1_Update(&ctx, p, len);
SHA1_Final(output, &ctx);
}
static int LAME_ssh2_load_userkey(char *passphrase)
{
int passlen = strlen(passphrase);
unsigned char out[sizeof(cur_salt->private_blob)];
AES_KEY akey;
unsigned char iv[32];
/* Decrypt the private blob. */
if (cur_salt->cipher) {
unsigned char key[40];
SHA_CTX s;
if (cur_salt->private_blob_len % cur_salt->cipherblk)
goto error;
SHA1_Init(&s);
SHA1_Update(&s, (void*)"\0\0\0\0", 4);
SHA1_Update(&s, passphrase, passlen);
SHA1_Final(key + 0, &s);
SHA1_Init(&s);
SHA1_Update(&s, (void*)"\0\0\0\1", 4);
SHA1_Update(&s, passphrase, passlen);
SHA1_Final(key + 20, &s);
memset(iv, 0, 32);
memset(&akey, 0, sizeof(AES_KEY));
if (AES_set_decrypt_key(key, 256, &akey) < 0) {
fprintf(stderr, "AES_set_decrypt_key failed!\n");
}
AES_cbc_encrypt(cur_salt->private_blob, out , cur_salt->private_blob_len, &akey, iv, AES_DECRYPT);
}
/* Verify the MAC. */
{
unsigned char binary[20];
unsigned char *macdata;
unsigned char macdata_ar[4*5+sizeof(cur_salt->alg)+sizeof(cur_salt->encryption)+sizeof(cur_salt->comment)+sizeof(cur_salt->public_blob)+sizeof(cur_salt->private_blob)+1];
int maclen;
if (cur_salt->old_fmt) {
/* MAC (or hash) only covers the private blob. */
macdata = out;
maclen = cur_salt->private_blob_len;
} else {
unsigned char *p;
int namelen = strlen(cur_salt->alg);
int enclen = strlen(cur_salt->encryption);
int commlen = strlen(cur_salt->comment);
maclen = (4 + namelen +
4 + enclen +
4 + commlen +
4 + cur_salt->public_blob_len +
4 + cur_salt->private_blob_len);
p = macdata_ar;
#define DO_STR(s,len) PUT_32BIT(p,(len));memcpy(p+4,(s),(len));p+=4+(len)
DO_STR(cur_salt->alg, namelen);
DO_STR(cur_salt->encryption, enclen);
DO_STR(cur_salt->comment, commlen);
DO_STR(cur_salt->public_blob, cur_salt->public_blob_len);
DO_STR(out, cur_salt->private_blob_len);
macdata = macdata_ar;
}
if (cur_salt->is_mac) {
SHA_CTX s;
unsigned char mackey[20];
unsigned int length = 20;
char header[] = "putty-private-key-file-mac-key";
SHA1_Init(&s);
SHA1_Update(&s, header, sizeof(header)-1);
if (cur_salt->cipher && passphrase)
SHA1_Update(&s, passphrase, passlen);
SHA1_Final(mackey, &s);
hmac_sha1(mackey, 20, macdata, maclen, binary, length);
} else {
SHA_Simple(macdata, maclen, binary);
}
if (memcmp(cur_salt->mac, binary, 20) == 0)
return 1;
}
error:
return 0;
}
static int crypt_all(int *pcount, struct db_salt *salt)
{
const int count = *pcount;
int index = 0;
if (any_cracked) {
memset(cracked, 0, cracked_size);
any_cracked = 0;
}
#ifdef _OPENMP
#pragma omp parallel for
for (index = 0; index < count; index++)
#endif
{
cracked[index] = LAME_ssh2_load_userkey(saved_key[index]);
if (cracked[index])
#ifdef _OPENMP
#pragma omp atomic
#endif
any_cracked |= 1;
}
return count;
}
static int cmp_all(void *binary, int count)
{
return any_cracked;
}
static int cmp_one(void *binary, int index)
{
return cracked[index];
}
static int cmp_exact(char *source, int index)
{
return cracked[index];
}
struct fmt_main fmt_putty = {
{
FORMAT_LABEL,
FORMAT_NAME,
ALGORITHM_NAME,
BENCHMARK_COMMENT,
BENCHMARK_LENGTH,
0,
PLAINTEXT_LENGTH,
BINARY_SIZE,
BINARY_ALIGN,
SALT_SIZE,
SALT_ALIGN,
MIN_KEYS_PER_CRYPT,
MAX_KEYS_PER_CRYPT,
FMT_CASE | FMT_8_BIT | FMT_OMP | FMT_HUGE_INPUT,
{ NULL },
{ FORMAT_TAG },
putty_tests
},
{
init,
done,
fmt_default_reset,
fmt_default_prepare,
valid,
fmt_default_split,
fmt_default_binary,
get_salt,
{ NULL },
fmt_default_source,
{
fmt_default_binary_hash
},
fmt_default_salt_hash,
NULL,
set_salt,
putty_set_key,
get_key,
fmt_default_clear_keys,
crypt_all,
{
fmt_default_get_hash
},
cmp_all,
cmp_one,
cmp_exact
}
};
#endif /* plugin stanza */
|
kmp_atomic_cas_cpt.c | // RUN: %libomp-compile-and-run
#include <stdio.h>
#include <stdbool.h>
#include <omp.h>
// Used to detect architecture
#include "../../src/kmp_platform.h"
#ifdef __cplusplus
extern "C" {
#endif
typedef void* ident_t;
extern bool
__kmpc_atomic_bool_1_cas_cpt(ident_t *loc, int gtid, char *x, char e, char d,
char *pv);
extern bool
__kmpc_atomic_bool_2_cas_cpt(ident_t *loc, int gtid, short *x, short e, short d,
short *pv);
extern bool
__kmpc_atomic_bool_4_cas_cpt(ident_t *loc, int gtid, int *x, int e, int d,
int *pv);
extern bool
__kmpc_atomic_bool_8_cas_cpt(ident_t *loc, int gtid, long long *x, long long e,
long long d, long long *pv);
extern char
__kmpc_atomic_val_1_cas_cpt(ident_t *loc, int gtid, char *x, char e, char d,
char *pv);
extern short
__kmpc_atomic_val_2_cas_cpt(ident_t *loc, int gtid, short *x, short e, short d,
short *pv);
extern int
__kmpc_atomic_val_4_cas_cpt(ident_t *loc, int gtid, int *x, int e, int d,
int *pv);
extern long long
__kmpc_atomic_val_8_cas_cpt(ident_t *loc, int gtid, long long *x, long long e,
long long d, long long *pv);
#ifdef __cplusplus
}
#endif
int main() {
int ret = 0;
#if KMP_ARCH_X86 || KMP_ARCH_X86_64
bool r;
char c0 = 1;
char c1 = 2;
char c2 = 3;
char co = 2;
char cc = 0;
char cv = 0;
short s0 = 11;
short s1 = 12;
short s2 = 13;
short so = 12;
short sc = 0;
short sv = 0;
int i0 = 211;
int i1 = 212;
int i2 = 213;
int io = 212;
int ic = 0;
int iv = 0;
long long l0 = 3111;
long long l1 = 3112;
long long l2 = 3113;
long long lo = 3112;
long long lc = 0;
long long lv = 0;
// initialize OpenMP runtime library
omp_set_dynamic(0);
// #pragma omp atomic compare update capture
// { r = x == e; if(r) { x = d; } else { v = x; } }
// char, co == c1 initially, co == c2 finally
r = __kmpc_atomic_bool_1_cas_cpt(NULL, 0, &co, c0, c2, &cv); // no-op
if (co != c1) {
ret++; printf("Error bool_1_cas_cpt no-op: %d != %d\n", co, c1); }
if (cv != co) {
ret++; printf("Error bool_1_cas_cpt no-op cpt: %d != %d\n", cv, co); }
if (r) { ret++; printf("Error bool_1_cas_cpt no-op ret: %d\n", r); }
cv = 0;
r = __kmpc_atomic_bool_1_cas_cpt(NULL, 0, &co, c1, c2, &cv);
if (co != c2) { ret++; printf("Error bool_1_cas_cpt: %d != %d\n", co, c2); }
if (cv != 0) { ret++; printf("Error bool_1_cas_cpt cpt: %d != %d\n", cv, 0); }
if (!r) { ret++; printf("Error bool_1_cas_cpt ret: %d\n", r); }
// short
r = __kmpc_atomic_bool_2_cas_cpt(NULL, 0, &so, s0, s2, &sv); // no-op
if (so != s1) {
ret++; printf("Error bool_2_cas_cpt no-op: %d != %d\n", so, s1); }
if (sv != so) {
ret++; printf("Error bool_2_cas_cpt no-op cpt: %d != %d\n", sv, so); }
if (r) { ret++; printf("Error bool_2_cas_cpt no-op ret: %d\n", r); }
sv = 0;
r = __kmpc_atomic_bool_2_cas_cpt(NULL, 0, &so, s1, s2, &sv);
if (so != s2) { ret++; printf("Error bool_2_cas_cpt: %d != %d\n", so, s2); }
if (sv != 0) { ret++; printf("Error bool_2_cas_cpt cpt: %d != %d\n", sv, 0); }
if (!r) { ret++; printf("Error bool_2_cas_cpt ret: %d\n", r); }
// int
r = __kmpc_atomic_bool_4_cas_cpt(NULL, 0, &io, i0, i2, &iv); // no-op
if (io != i1) {
ret++; printf("Error bool_4_cas_cpt no-op: %d != %d\n", io, i1); }
if (iv != io) {
ret++; printf("Error bool_4_cas_cpt no-op cpt: %d != %d\n", iv, io); }
if (r) { ret++; printf("Error bool_4_cas_cpt no-op ret: %d\n", r); }
iv = 0;
r = __kmpc_atomic_bool_4_cas_cpt(NULL, 0, &io, i1, i2, &iv);
if (io != i2) { ret++; printf("Error bool_4_cas_cpt: %d != %d\n", io, i2); }
if (iv != 0) { ret++; printf("Error bool_4_cas_cpt cpt: %d != %d\n", iv, 0); }
if (!r) { ret++; printf("Error bool_4_cas_cpt ret: %d\n", r); }
// long long
r = __kmpc_atomic_bool_8_cas_cpt(NULL, 0, &lo, l0, l2, &lv); // no-op
if (lo != l1) {
ret++; printf("Error bool_8_cas_cpt no-op: %lld != %lld\n", lo, l1); }
if (lv != lo) {
ret++; printf("Error bool_8_cas_cpt no-op cpt: %lld != %lld\n", lv, lo); }
if (r) { ret++; printf("Error bool_8_cas_cpt no-op ret: %d\n", r); }
lv = 0;
r = __kmpc_atomic_bool_8_cas_cpt(NULL, 0, &lo, l1, l2, &lv);
if (lo != l2) {
ret++; printf("Error bool_8_cas_cpt: %lld != %lld\n", lo, l2); }
if (lv != 0) { // should not be assigned
ret++; printf("Error bool_8_cas_cpt cpt: %lld != %d\n", lv, 0); }
if (!r) { ret++; printf("Error bool_8_cas_cpt ret: %d\n", r); }
// #pragma omp atomic compare update capture
// { if (x == e) { x = d; }; v = x; }
// char, co == c2 initially, co == c1 finally
cc = __kmpc_atomic_val_1_cas_cpt(NULL, 0, &co, c0, c1, &cv); // no-op
if (co != c2) {
ret++; printf("Error val_1_cas_cpt no-op: %d != %d\n", co, c2); }
if (cv != c2) {
ret++; printf("Error val_1_cas_cpt no-op cpt: %d != %d\n", cv, c2); }
if (cc != c2) {
ret++; printf("Error val_1_cas_cpt no-op ret: %d != %d\n", cc, c2); }
cc = __kmpc_atomic_val_1_cas_cpt(NULL, 0, &co, c2, c1, &cv);
if (co != c1) { ret++; printf("Error val_1_cas_cpt: %d != %d\n", co, c1); }
if (cv != c1) { ret++; printf("Error val_1_cas_cpt cpt: %d != %d\n", cv, c1); }
if (cc != c2) { ret++; printf("Error val_1_cas_cpt ret: %d != %d\n", cc, c2); }
// short
sc = __kmpc_atomic_val_2_cas_cpt(NULL, 0, &so, s0, s1, &sv); // no-op
if (so != s2) {
ret++; printf("Error val_2_cas_cpt no-op: %d != %d\n", so, s2); }
if (sv != s2) {
ret++; printf("Error val_2_cas_cpt no-op cpt: %d != %d\n", sv, s2); }
if (sc != s2) {
ret++; printf("Error val_2_cas_cpt no-op ret: %d != %d\n", sc, s2); }
sc = __kmpc_atomic_val_2_cas_cpt(NULL, 0, &so, s2, s1, &sv);
if (so != s1) { ret++; printf("Error val_2_cas_cpt: %d != %d\n", so, s1); }
if (sv != s1) { ret++; printf("Error val_2_cas_cpt cpt: %d != %d\n", sv, s1); }
if (sc != s2) { ret++; printf("Error val_2_cas_cpt ret: %d != %d\n", sc, s2); }
// int
ic = __kmpc_atomic_val_4_cas_cpt(NULL, 0, &io, i0, i1, &iv); // no-op
if (io != i2) {
ret++; printf("Error val_4_cas_cpt no-op: %d != %d\n", io, i2); }
if (iv != i2) {
ret++; printf("Error val_4_cas_cpt no-op cpt: %d != %d\n", iv, i2); }
if (ic != i2) {
ret++; printf("Error val_4_cas_cpt no-op ret: %d != %d\n", ic, i2); }
ic = __kmpc_atomic_val_4_cas_cpt(NULL, 0, &io, i2, i1, &iv);
if (io != i1) { ret++; printf("Error val_4_cas_cpt: %d != %d\n", io, i1); }
if (iv != i1) { ret++; printf("Error val_4_cas_cpt cpt: %d != %d\n", io, i1); }
if (ic != i2) { ret++; printf("Error val_4_cas_cpt ret: %d != %d\n", ic, i2); }
// long long
lc = __kmpc_atomic_val_8_cas_cpt(NULL, 0, &lo, l0, l1, &lv); // no-op
if (lo != l2) {
ret++; printf("Error val_8_cas_cpt no-op: %lld != %lld\n", lo, l2); }
if (lv != l2) {
ret++; printf("Error val_8_cas_cpt no-op cpt: %lld != %lld\n", lv, l2); }
if (lc != l2) {
ret++; printf("Error val_8_cas_cpt no-op ret: %lld != %lld\n", lc, l2); }
lc = __kmpc_atomic_val_8_cas_cpt(NULL, 0, &lo, l2, l1, &lv);
if (lo != l1) { ret++; printf("Error val_8_cas_cpt: %lld != %lld\n", lo, l1); }
if (lv != l1) {
ret++; printf("Error val_8_cas_cpt cpt: %lld != %lld\n", lv, l1); }
if (lc != l2) {
ret++; printf("Error val_8_cas_cpt ret: %lld != %lld\n", lc, l2); }
// check in parallel
i0 = 1;
i1 = 0;
for (io = 0; io < 5; ++io) {
#pragma omp parallel num_threads(2) private(i2, ic, r, iv)
{
if (omp_get_thread_num() == 0) {
// th0 waits for th1 to increment i1, then th0 increments i0
#pragma omp atomic read
i2 = i1;
ic = __kmpc_atomic_val_4_cas_cpt(NULL, 0, &i0, i2, i2 + 1, &iv);
while(ic != i2) {
if (iv != ic) {
ret++;
printf("Error 1 in parallel cpt, %d != %d\n", iv, ic);
}
#pragma omp atomic read
i2 = i1;
ic = __kmpc_atomic_val_4_cas_cpt(NULL, 0, &i0, i2, i2 + 1, &iv);
}
if (iv != i2 + 1) {
ret++;
printf("Error 2 in parallel cpt, %d != %d\n", iv, i2 + 1);
}
} else {
// th1 increments i1 if it is equal to i0 - 1, letting th0 to proceed
r = 0;
while(!r) {
#pragma omp atomic read
i2 = i0;
r = __kmpc_atomic_bool_4_cas_cpt(NULL, 0, &i1, i2 - 1, i2, &iv);
}
}
}
}
if (i0 != 6 || i1 != 5) {
ret++;
printf("Error in parallel, %d != %d or %d != %d\n", i0, 6, i1, 5);
}
if (ret == 0)
printf("passed\n");
#else
printf("Unsupported architecture, skipping test...\n");
#endif // KMP_ARCH_X86 || KMP_ARCH_X86_64
return ret;
}
|
ft_ao.c | /* Copyright 2014-2018 The PySCF Developers. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
*
* Fourier transformed AO pair
* \int e^{-i Gv \cdot r} i(r) * j(r) dr^3
*
* eval_gz, b, gxyz, gs:
* - when eval_gz is GTO_Gv_uniform_orth
* > b (reciprocal vectors) is diagonal 3x3 matrix
* > Gv k-space grids = dot(b.T,gxyz)
* > gxyz[3,nGv] = (kx[:nGv], ky[:nGv], kz[:nGv])
* > gs[3]: The number of G-vectors along each direction (nGv=gs[0]*gs[1]*gs[2]).
* - when eval_gz is GTO_Gv_uniform_nonorth
* > b is 3x3 matrix = 2\pi * scipy.linalg.inv(cell.lattice_vectors).T
* > Gv k-space grids = dot(b.T,gxyz)
* > gxyz[3,nGv] = (kx[:nGv], ky[:nGv], kz[:nGv])
* > gs[3]: The number of *positive* G-vectors along each direction.
* - when eval_gz is GTO_Gv_general
* only Gv is needed
* - when eval_gz is GTO_Gv_nonuniform_orth
* > b is the basic G value for each cartesian component
* Gx = b[:gs[0]]
* Gy = b[gs[0]:gs[0]+gs[1]]
* Gz = b[gs[0]+gs[1]:]
* > gs[3]: Number of basic G values along each direction.
* > gxyz[3,nGv] are used to index the basic G value
* > Gv is not used
*/
#include <stdlib.h>
#include <string.h>
#include <math.h>
#include <assert.h>
#include <complex.h>
#include "config.h"
#include "cint.h"
#include "gto/ft_ao.h"
#define SQRTPI 1.7724538509055160272981674833411451
#define EXPCUTOFF 100
#define NCTRMAX 72
double CINTsquare_dist(const double *r1, const double *r2);
double CINTcommon_fac_sp(int l);
/*
* Pyscf-1.5 (and older) use libcint function CINTinit_int1e_EnvVars and
* CINTg1e_index_xyz. It's unsafe since the CINTEnvVars type was redefined
* in ft_ao.h. Copy the contents of CINTinit_int1e_EnvVars and
* CINTg1e_index_xyz here.
*/
#define IINC 0
#define JINC 1
#define GSHIFT 4
#define POS_E1 5
#define RYS_ROOTS 6
#define TENSOR 7
void GTO_ft_init1e_envs(CINTEnvVars *envs, int *ng, int *shls,
int *atm, int natm, int *bas, int nbas, double *env)
{
envs->natm = natm;
envs->nbas = nbas;
envs->atm = atm;
envs->bas = bas;
envs->env = env;
envs->shls = shls;
const int i_sh = shls[0];
const int j_sh = shls[1];
envs->i_l = bas(ANG_OF, i_sh);
envs->j_l = bas(ANG_OF, j_sh);
envs->x_ctr[0] = bas(NCTR_OF, i_sh);
envs->x_ctr[1] = bas(NCTR_OF, j_sh);
envs->nfi = (envs->i_l+1)*(envs->i_l+2)/2;
envs->nfj = (envs->j_l+1)*(envs->j_l+2)/2;
envs->nf = envs->nfi * envs->nfj;
envs->common_factor = 1;
envs->gbits = ng[GSHIFT];
envs->ncomp_e1 = ng[POS_E1];
envs->ncomp_tensor = ng[TENSOR];
envs->li_ceil = envs->i_l + ng[IINC];
envs->lj_ceil = envs->j_l + ng[JINC];
if (ng[RYS_ROOTS] > 0) {
envs->nrys_roots = ng[RYS_ROOTS];
} else {
envs->nrys_roots = (envs->li_ceil + envs->lj_ceil)/2 + 1;
}
envs->ri = env + atm(PTR_COORD, bas(ATOM_OF, i_sh));
envs->rj = env + atm(PTR_COORD, bas(ATOM_OF, j_sh));
int dli, dlj;
if (envs->li_ceil < envs->lj_ceil) {
dli = envs->li_ceil + 1;
dlj = envs->li_ceil + envs->lj_ceil + 1;
} else {
dli = envs->li_ceil + envs->lj_ceil + 1;
dlj = envs->lj_ceil + 1;
}
envs->g_stride_i = 1;
envs->g_stride_j = dli;
envs->g_size = dli * dlj;
envs->lk_ceil = 1;
envs->ll_ceil = 1;
envs->g_stride_k = 0;
envs->g_stride_l = 0;
}
#define CART_MAX 128 // > (ANG_MAX*(ANG_MAX+1)/2)
void CINTcart_comp(int *nx, int *ny, int *nz, const int lmax);
static void _g2c_index_xyz(int *idx, const CINTEnvVars *envs)
{
int i_l = envs->i_l;
int j_l = envs->j_l;
int nfi = envs->nfi;
int nfj = envs->nfj;
int di = envs->g_stride_i;
int dj = envs->g_stride_j;
int i, j, n;
int ofx, ofjx;
int ofy, ofjy;
int ofz, ofjz;
int i_nx[CART_MAX], i_ny[CART_MAX], i_nz[CART_MAX];
int j_nx[CART_MAX], j_ny[CART_MAX], j_nz[CART_MAX];
CINTcart_comp(i_nx, i_ny, i_nz, i_l);
CINTcart_comp(j_nx, j_ny, j_nz, j_l);
ofx = 0;
ofy = envs->g_size;
ofz = envs->g_size * 2;
n = 0;
for (j = 0; j < nfj; j++) {
ofjx = ofx + dj * j_nx[j];
ofjy = ofy + dj * j_ny[j];
ofjz = ofz + dj * j_nz[j];
for (i = 0; i < nfi; i++) {
idx[n+0] = ofjx + di * i_nx[i];
idx[n+1] = ofjy + di * i_ny[i];
idx[n+2] = ofjz + di * i_nz[i];
n += 3;
}
}
}
static const int _LEN_CART[] = {
1, 3, 6, 10, 15, 21, 28, 36, 45, 55, 66, 78, 91, 105, 120, 136
};
static const int _CUM_LEN_CART[] = {
1, 4, 10, 20, 35, 56, 84, 120, 165, 220, 286, 364, 455, 560, 680, 816,
};
/*
* WHEREX_IF_L_INC1 = [xyz2addr(x,y,z) for x,y,z in loopcart(L_MAX) if x > 0]
* WHEREY_IF_L_INC1 = [xyz2addr(x,y,z) for x,y,z in loopcart(L_MAX) if y > 0]
* WHEREZ_IF_L_INC1 = [xyz2addr(x,y,z) for x,y,z in loopcart(L_MAX) if z > 0]
*/
static const int _UPIDY[] = {
1,
3, 4,
6, 7, 8,
10, 11, 12, 13,
15, 16, 17, 18, 19,
21, 22, 23, 24, 25, 26,
28, 29, 30, 31, 32, 33, 34,
36, 37, 38, 39, 40, 41, 42, 43,
45, 46, 47, 48, 49, 50, 51, 52, 53,
55, 56, 57, 58, 59, 60, 61, 62, 63, 64,
66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76,
78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89,
91, 92, 93, 94, 95, 96, 97, 98, 99,100,101,102,103,
105,106,107,108,109,110,111,112,113,114,115,116,117,118,
120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,
};
static const int _UPIDZ[] = {
2,
4, 5,
7, 8, 9,
11, 12, 13, 14,
16, 17, 18, 19, 20,
22, 23, 24, 25, 26, 27,
29, 30, 31, 32, 33, 34, 35,
37, 38, 39, 40, 41, 42, 43, 44,
46, 47, 48, 49, 50, 51, 52, 53, 54,
56, 57, 58, 59, 60, 61, 62, 63, 64, 65,
67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77,
79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90,
92, 93, 94, 95, 96, 97, 98, 99,100,101,102,103,104,
106,107,108,109,110,111,112,113,114,115,116,117,118,119,
121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,
};
/*
* _DOWN_XYZ, _DOWN_XYZ_ORDER, _DOWN1, _DOWN2 labels the index in the 1D
* recursive relation f_{i+1} = i/2a * f_{i-1} + X * f_{i}
* _DOWN_XYZ_ORDER i in i/2a
* _DOWN2 index of f_{i-1}
* _DOWN_XYZ index of X
* _DOWN1 index of f_{i}
*/
static const int _DOWN1[] = {
-1,
0, 0, 0,
0, 1, 2, 1, 2, 2,
0, 0, 0, 3, 4, 5, 3, 3, 5, 5,
0, 0, 0, 3, 2, 5, 6, 7, 8, 9, 6, 6, 8, 9, 9,
0, 0, 0, 3, 2, 5, 6, 3, 5, 9, 10, 11, 12, 13, 14, 10, 10, 12, 13, 14, 14,
0, 0, 0, 3, 2, 5, 6, 3, 5, 9, 10, 6, 12, 9, 14, 15, 16, 17, 18, 19, 20, 15, 15, 17, 18, 19, 20, 20,
0, 0, 0, 3, 2, 5, 6, 3, 5, 9, 10, 6, 12, 9, 14, 15, 10, 17, 18, 14, 20, 21, 22, 23, 24, 25, 26, 27, 21, 21, 23, 24, 25, 26, 27, 27,
0, 0, 0, 3, 2, 5, 6, 3, 5, 9, 10, 6, 12, 9, 14, 15, 10, 17, 18, 14, 20, 21, 15, 23, 24, 25, 20, 27, 28, 29, 30, 31, 32, 33, 34, 35, 28, 28, 30, 31, 32, 33, 34, 35, 35,
0, 0, 0, 3, 2, 5, 6, 3, 5, 9, 10, 6, 12, 9, 14, 15, 10, 17, 18, 14, 20, 21, 15, 23, 24, 25, 20, 27, 28, 21, 30, 31, 32, 33, 27, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 36, 36, 38, 39, 40, 41, 42, 43, 44, 44,
0, 0, 0, 3, 2, 5, 6, 3, 5, 9, 10, 6, 12, 9, 14, 15, 10, 17, 18, 14, 20, 21, 15, 23, 24, 25, 20, 27, 28, 21, 30, 31, 32, 33, 27, 35, 36, 28, 38, 39, 40, 41, 42, 35, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 45, 45, 47, 48, 49, 50, 51, 52, 53, 54, 54,
0, 0, 0, 3, 2, 5, 6, 3, 5, 9, 10, 6, 12, 9, 14, 15, 10, 17, 18, 14, 20, 21, 15, 23, 24, 25, 20, 27, 28, 21, 30, 31, 32, 33, 27, 35, 36, 28, 38, 39, 40, 41, 42, 35, 44, 45, 36, 47, 48, 49, 50, 51, 52, 44, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 55, 55, 57, 58, 59, 60, 61, 62, 63, 64, 65, 65,
0, 0, 0, 3, 2, 5, 6, 3, 5, 9, 10, 6, 12, 9, 14, 15, 10, 17, 18, 14, 20, 21, 15, 23, 24, 25, 20, 27, 28, 21, 30, 31, 32, 33, 27, 35, 36, 28, 38, 39, 40, 41, 42, 35, 44, 45, 36, 47, 48, 49, 50, 51, 52, 44, 54, 55, 45, 57, 58, 59, 60, 61, 62, 63, 54, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 66, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 77,
0, 0, 0, 3, 2, 5, 6, 3, 5, 9, 10, 6, 12, 9, 14, 15, 10, 17, 18, 14, 20, 21, 15, 23, 24, 25, 20, 27, 28, 21, 30, 31, 32, 33, 27, 35, 36, 28, 38, 39, 40, 41, 42, 35, 44, 45, 36, 47, 48, 49, 50, 51, 52, 44, 54, 55, 45, 57, 58, 59, 60, 61, 62, 63, 54, 65, 66, 55, 68, 69, 70, 71, 72, 73, 74, 75, 65, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 78, 78, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 90,
0, 0, 0, 3, 2, 5, 6, 3, 5, 9, 10, 6, 12, 9, 14, 15, 10, 17, 18, 14, 20, 21, 15, 23, 24, 25, 20, 27, 28, 21, 30, 31, 32, 33, 27, 35, 36, 28, 38, 39, 40, 41, 42, 35, 44, 45, 36, 47, 48, 49, 50, 51, 52, 44, 54, 55, 45, 57, 58, 59, 60, 61, 62, 63, 54, 65, 66, 55, 68, 69, 70, 71, 72, 73, 74, 75, 65, 77, 78, 66, 80, 81, 82, 83, 84, 85, 86, 87, 88, 77, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 91, 91, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 104,
0, 0, 0, 3, 2, 5, 6, 3, 5, 9, 10, 6, 12, 9, 14, 15, 10, 17, 18, 14, 20, 21, 15, 23, 24, 25, 20, 27, 28, 21, 30, 31, 32, 33, 27, 35, 36, 28, 38, 39, 40, 41, 42, 35, 44, 45, 36, 47, 48, 49, 50, 51, 52, 44, 54, 55, 45, 57, 58, 59, 60, 61, 62, 63, 54, 65, 66, 55, 68, 69, 70, 71, 72, 73, 74, 75, 65, 77, 78, 66, 80, 81, 82, 83, 84, 85, 86, 87, 88, 77, 90, 91, 78, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 90, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 105, 105, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 119,
};
static const int _DOWN2[] = {
-1,
-1, -1, -1,
0, -1, -1, 0, -1, 0,
0, -1, -1, -1, -1, -1, 1, -1, -1, 2,
0, -1, -1, 3, -1, 5, -1, -1, -1, -1, 3, -1, 5, -1, 5,
0, -1, -1, 3, -1, 5, 6, -1, -1, 9, -1, -1, -1, -1, -1, 6, -1, 8, 9, -1, 9,
0, -1, -1, 3, -1, 5, 6, -1, -1, 9, 10, -1, 12, -1, 14, -1, -1, -1, -1, -1, -1, 10, -1, 12, 13, 14, -1, 14,
0, -1, -1, 3, -1, 5, 6, -1, -1, 9, 10, -1, 12, -1, 14, 15, -1, 17, 18, -1, 20, -1, -1, -1, -1, -1, -1, -1, 15, -1, 17, 18, 19, 20, -1, 20,
0, -1, -1, 3, -1, 5, 6, -1, -1, 9, 10, -1, 12, -1, 14, 15, -1, 17, 18, -1, 20, 21, -1, 23, 24, 25, -1, 27, -1, -1, -1, -1, -1, -1, -1, -1, 21, -1, 23, 24, 25, 26, 27, -1, 27,
0, -1, -1, 3, -1, 5, 6, -1, -1, 9, 10, -1, 12, -1, 14, 15, -1, 17, 18, -1, 20, 21, -1, 23, 24, 25, -1, 27, 28, -1, 30, 31, 32, 33, -1, 35, -1, -1, -1, -1, -1, -1, -1, -1, -1, 28, -1, 30, 31, 32, 33, 34, 35, -1, 35,
0, -1, -1, 3, -1, 5, 6, -1, -1, 9, 10, -1, 12, -1, 14, 15, -1, 17, 18, -1, 20, 21, -1, 23, 24, 25, -1, 27, 28, -1, 30, 31, 32, 33, -1, 35, 36, -1, 38, 39, 40, 41, 42, -1, 44, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 36, -1, 38, 39, 40, 41, 42, 43, 44, -1, 44,
0, -1, -1, 3, -1, 5, 6, -1, -1, 9, 10, -1, 12, -1, 14, 15, -1, 17, 18, -1, 20, 21, -1, 23, 24, 25, -1, 27, 28, -1, 30, 31, 32, 33, -1, 35, 36, -1, 38, 39, 40, 41, 42, -1, 44, 45, -1, 47, 48, 49, 50, 51, 52, -1, 54, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 45, -1, 47, 48, 49, 50, 51, 52, 53, 54, -1, 54,
0, -1, -1, 3, -1, 5, 6, -1, -1, 9, 10, -1, 12, -1, 14, 15, -1, 17, 18, -1, 20, 21, -1, 23, 24, 25, -1, 27, 28, -1, 30, 31, 32, 33, -1, 35, 36, -1, 38, 39, 40, 41, 42, -1, 44, 45, -1, 47, 48, 49, 50, 51, 52, -1, 54, 55, -1, 57, 58, 59, 60, 61, 62, 63, -1, 65, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 55, -1, 57, 58, 59, 60, 61, 62, 63, 64, 65, -1, 65,
0, -1, -1, 3, -1, 5, 6, -1, -1, 9, 10, -1, 12, -1, 14, 15, -1, 17, 18, -1, 20, 21, -1, 23, 24, 25, -1, 27, 28, -1, 30, 31, 32, 33, -1, 35, 36, -1, 38, 39, 40, 41, 42, -1, 44, 45, -1, 47, 48, 49, 50, 51, 52, -1, 54, 55, -1, 57, 58, 59, 60, 61, 62, 63, -1, 65, 66, -1, 68, 69, 70, 71, 72, 73, 74, 75, -1, 77, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 66, -1, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, -1, 77,
0, -1, -1, 3, -1, 5, 6, -1, -1, 9, 10, -1, 12, -1, 14, 15, -1, 17, 18, -1, 20, 21, -1, 23, 24, 25, -1, 27, 28, -1, 30, 31, 32, 33, -1, 35, 36, -1, 38, 39, 40, 41, 42, -1, 44, 45, -1, 47, 48, 49, 50, 51, 52, -1, 54, 55, -1, 57, 58, 59, 60, 61, 62, 63, -1, 65, 66, -1, 68, 69, 70, 71, 72, 73, 74, 75, -1, 77, 78, -1, 80, 81, 82, 83, 84, 85, 86, 87, 88, -1, 90, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 78, -1, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, -1, 90,
0, -1, -1, 3, -1, 5, 6, -1, -1, 9, 10, -1, 12, -1, 14, 15, -1, 17, 18, -1, 20, 21, -1, 23, 24, 25, -1, 27, 28, -1, 30, 31, 32, 33, -1, 35, 36, -1, 38, 39, 40, 41, 42, -1, 44, 45, -1, 47, 48, 49, 50, 51, 52, -1, 54, 55, -1, 57, 58, 59, 60, 61, 62, 63, -1, 65, 66, -1, 68, 69, 70, 71, 72, 73, 74, 75, -1, 77, 78, -1, 80, 81, 82, 83, 84, 85, 86, 87, 88, -1, 90, 91, -1, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, -1, 104, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 91, -1, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, -1, 104,
};
static const int _DOWN_XYZ[] = {
2,
0, 1, 2,
0, 0, 0, 1, 1, 2,
0, 1, 2, 0, 0, 0, 1, 2, 1, 2,
0, 1, 2, 0, 1, 0, 0, 0, 0, 0, 1, 2, 1, 1, 2,
0, 1, 2, 0, 1, 0, 0, 2, 1, 0, 0, 0, 0, 0, 0, 1, 2, 1, 1, 1, 2,
0, 1, 2, 0, 1, 0, 0, 2, 1, 0, 0, 2, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 1, 1, 1, 1, 2,
0, 1, 2, 0, 1, 0, 0, 2, 1, 0, 0, 2, 0, 1, 0, 0, 2, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 1, 1, 1, 1, 1, 2,
0, 1, 2, 0, 1, 0, 0, 2, 1, 0, 0, 2, 0, 1, 0, 0, 2, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 1, 1, 1, 1, 1, 1, 2,
0, 1, 2, 0, 1, 0, 0, 2, 1, 0, 0, 2, 0, 1, 0, 0, 2, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 1, 1, 1, 1, 1, 1, 1, 2,
0, 1, 2, 0, 1, 0, 0, 2, 1, 0, 0, 2, 0, 1, 0, 0, 2, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 2,
0, 1, 2, 0, 1, 0, 0, 2, 1, 0, 0, 2, 0, 1, 0, 0, 2, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2,
0, 1, 2, 0, 1, 0, 0, 2, 1, 0, 0, 2, 0, 1, 0, 0, 2, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2,
0, 1, 2, 0, 1, 0, 0, 2, 1, 0, 0, 2, 0, 1, 0, 0, 2, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2,
0, 1, 2, 0, 1, 0, 0, 2, 1, 0, 0, 2, 0, 1, 0, 0, 2, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2,
0, 1, 2, 0, 1, 0, 0, 2, 1, 0, 0, 2, 0, 1, 0, 0, 2, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2,
};
static const int _DOWN_XYZ_ORDER[] = {
0,
0, 0, 0,
1, 0, 0, 1, 0, 1,
2, 0, 0, 0, 0, 0, 2, 0, 0, 2,
3, 0, 0, 1, 0, 1, 0, 0, 0, 0, 3, 0, 1, 0, 3,
4, 0, 0, 2, 0, 2, 1, 0, 0, 1, 0, 0, 0, 0, 0, 4, 0, 2, 1, 0, 4,
5, 0, 0, 3, 0, 3, 2, 0, 0, 2, 1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 5, 0, 3, 2, 1, 0, 5,
6, 0, 0, 4, 0, 4, 3, 0, 0, 3, 2, 0, 2, 0, 2, 1, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 6, 0, 4, 3, 2, 1, 0, 6,
7, 0, 0, 5, 0, 5, 4, 0, 0, 4, 3, 0, 3, 0, 3, 2, 0, 2, 2, 0, 2, 1, 0, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 7, 0, 5, 4, 3, 2, 1, 0, 7,
8, 0, 0, 6, 0, 6, 5, 0, 0, 5, 4, 0, 4, 0, 4, 3, 0, 3, 3, 0, 3, 2, 0, 2, 2, 2, 0, 2, 1, 0, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 6, 5, 4, 3, 2, 1, 0, 8,
9, 0, 0, 7, 0, 7, 6, 0, 0, 6, 5, 0, 5, 0, 5, 4, 0, 4, 4, 0, 4, 3, 0, 3, 3, 3, 0, 3, 2, 0, 2, 2, 2, 2, 0, 2, 1, 0, 1, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 9, 0, 7, 6, 5, 4, 3, 2, 1, 0, 9,
10, 0, 0, 8, 0, 8, 7, 0, 0, 7, 6, 0, 6, 0, 6, 5, 0, 5, 5, 0, 5, 4, 0, 4, 4, 4, 0, 4, 3, 0, 3, 3, 3, 3, 0, 3, 2, 0, 2, 2, 2, 2, 2, 0, 2, 1, 0, 1, 1, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10, 0, 8, 7, 6, 5, 4, 3, 2, 1, 0, 10,
11, 0, 0, 9, 0, 9, 8, 0, 0, 8, 7, 0, 7, 0, 7, 6, 0, 6, 6, 0, 6, 5, 0, 5, 5, 5, 0, 5, 4, 0, 4, 4, 4, 4, 0, 4, 3, 0, 3, 3, 3, 3, 3, 0, 3, 2, 0, 2, 2, 2, 2, 2, 2, 0, 2, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 11, 0, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0, 11,
12, 0, 0, 10, 0, 10, 9, 0, 0, 9, 8, 0, 8, 0, 8, 7, 0, 7, 7, 0, 7, 6, 0, 6, 6, 6, 0, 6, 5, 0, 5, 5, 5, 5, 0, 5, 4, 0, 4, 4, 4, 4, 4, 0, 4, 3, 0, 3, 3, 3, 3, 3, 3, 0, 3, 2, 0, 2, 2, 2, 2, 2, 2, 2, 0, 2, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0, 12,
13, 0, 0, 11, 0, 11, 10, 0, 0, 10, 9, 0, 9, 0, 9, 8, 0, 8, 8, 0, 8, 7, 0, 7, 7, 7, 0, 7, 6, 0, 6, 6, 6, 6, 0, 6, 5, 0, 5, 5, 5, 5, 5, 0, 5, 4, 0, 4, 4, 4, 4, 4, 4, 0, 4, 3, 0, 3, 3, 3, 3, 3, 3, 3, 0, 3, 2, 0, 2, 2, 2, 2, 2, 2, 2, 2, 0, 2, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 13, 0, 11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0, 13,
14, 0, 0, 12, 0, 12, 11, 0, 0, 11, 10, 0, 10, 0, 10, 9, 0, 9, 9, 0, 9, 8, 0, 8, 8, 8, 0, 8, 7, 0, 7, 7, 7, 7, 0, 7, 6, 0, 6, 6, 6, 6, 6, 0, 6, 5, 0, 5, 5, 5, 5, 5, 5, 0, 5, 4, 0, 4, 4, 4, 4, 4, 4, 4, 0, 4, 3, 0, 3, 3, 3, 3, 3, 3, 3, 3, 0, 3, 2, 0, 2, 2, 2, 2, 2, 2, 2, 2, 2, 0, 2, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14, 0, 12, 11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0, 14,
};
#define WHEREX_IF_L_INC1(i) i
#define WHEREY_IF_L_INC1(i) _UPIDY[i]
#define WHEREZ_IF_L_INC1(i) _UPIDZ[i]
#define STARTX_IF_L_DEC1(i) 0
#define STARTY_IF_L_DEC1(i) ((i<2)?0:_LEN_CART[i-2])
#define STARTZ_IF_L_DEC1(i) (_LEN_CART[i-1]-1)
#define ADDR_IF_L_DEC1(l,m) _DOWN1[_CUM_LEN_CART[l-1]+m]
#define ADDR_IF_L_DEC2(l,m) _DOWN2[_CUM_LEN_CART[l-1]+m]
#define DEC1_XYZ(l,m) _DOWN_XYZ[_CUM_LEN_CART[l-1]+m]
#define DEC1_XYZ_ORDER(l,m) _DOWN_XYZ_ORDER[_CUM_LEN_CART[l-1]+m]
static int vrr1d_withGv(double complex *g, double *rijri, double aij,
double *Gv, int topl, size_t NGv)
{
int cumxyz = 1;
if (topl == 0) {
return cumxyz;
}
double *kx = Gv;
double *ky = kx + NGv;
double *kz = ky + NGv;
int i, n, m, l;
double a2;
double complex *p0, *p1, *p2, *dec1, *dec2;
double *ka2 = malloc(sizeof(double) * NGv*3);
double *kxa2 = ka2;
double *kya2 = kxa2 + NGv;
double *kza2 = kya2 + NGv;
a2 = .5 / aij;
for (n = 0; n < NGv; n++) {
kxa2[n] = kx[n] * a2;
kya2[n] = ky[n] * a2;
kza2[n] = kz[n] * a2;
}
p0 = g + NGv;
for (n = 0; n < NGv; n++) {
p0[ n] = (rijri[0] - kxa2[n]*_Complex_I) * g[n];
p0[NGv +n] = (rijri[1] - kya2[n]*_Complex_I) * g[n];
p0[NGv*2+n] = (rijri[2] - kza2[n]*_Complex_I) * g[n];
}
cumxyz += 3;
for (l = 1; l < topl; l++) {
p0 = g + cumxyz * NGv;
dec1 = p0 - _LEN_CART[l ] * NGv;
dec2 = dec1 - _LEN_CART[l-1] * NGv;
for (i = 0; i < _LEN_CART[l+1]; i++) {
m = DEC1_XYZ(l+1,i);
kxa2 = ka2 + m * NGv;
p1 = dec1 + ADDR_IF_L_DEC1(l+1,i) * NGv;
p2 = dec2 + ADDR_IF_L_DEC2(l+1,i) * NGv;
if (ADDR_IF_L_DEC2(l+1,i) < 0) {
for (n = 0; n < NGv; n++) {
p0[n] = (rijri[m]-kxa2[n]*_Complex_I)*p1[n];
}
} else {
a2 = .5/aij * DEC1_XYZ_ORDER(l+1,i);
for (n = 0; n < NGv; n++) {
p0[n] = a2*p2[n] + (rijri[m]-kxa2[n]*_Complex_I)*p1[n];
}
}
p0 += NGv;
}
cumxyz += _LEN_CART[l+1];
}
free(ka2);
return cumxyz;
}
/*
* if li = 3, lj = 1
* (10 + X*00 -> 01):
* gs + X*fs -> fp
*/
static void vrr2d_ket_inc1_withGv(double complex *out, const double complex *g,
double *rirj, int li, int lj, size_t NGv)
{
if (lj == 0) {
memcpy(out, g, sizeof(double complex)*_LEN_CART[li]*NGv);
return;
}
const int row_10 = _LEN_CART[li+1];
const int row_00 = _LEN_CART[li ];
const int col_00 = _LEN_CART[lj-1];
const double complex *g00 = g;
const double complex *g10 = g + row_00*col_00*NGv;
int i, j, n;
const double complex *p00, *p10;
double complex *p01 = out;
for (j = STARTX_IF_L_DEC1(lj); j < _LEN_CART[lj-1]; j++) {
for (i = 0; i < row_00; i++) {
p00 = g00 + (j*row_00+i) * NGv;
p10 = g10 + (j*row_10+WHEREX_IF_L_INC1(i)) * NGv;
for (n = 0; n < NGv; n++) {
p01[n] = p10[n] + rirj[0] * p00[n];
}
p01 += NGv;
} }
for (j = STARTY_IF_L_DEC1(lj); j < _LEN_CART[lj-1]; j++) {
for (i = 0; i < row_00; i++) {
p00 = g00 + (j*row_00+i) * NGv;
p10 = g10 + (j*row_10+WHEREY_IF_L_INC1(i)) * NGv;
for (n = 0; n < NGv; n++) {
p01[n] = p10[n] + rirj[1] * p00[n];
}
p01 += NGv;
} }
j = STARTZ_IF_L_DEC1(lj);
if (j < _LEN_CART[lj-1]) {
for (i = 0; i < row_00; i++) {
p00 = g00 + (j*row_00+i) * NGv;
p10 = g10 + (j*row_10+WHEREZ_IF_L_INC1(i)) * NGv;
for (n = 0; n < NGv; n++) {
p01[n] = p10[n] + rirj[2] * p00[n];
}
p01 += NGv;
} }
}
/*
* transpose i, j when storing into out
*/
static void vrr2d_inc1_swapij(double complex *out, const double complex *g,
double *rirj, int li, int lj, size_t NGv)
{
if (lj == 0) {
memcpy(out, g, sizeof(double complex)*_LEN_CART[li]*NGv);
return;
}
const int row_01 = _LEN_CART[lj];
const int row_10 = _LEN_CART[li+1];
const int row_00 = _LEN_CART[li ];
const int col_00 = _LEN_CART[lj-1];
const double complex *g00 = g;
const double complex *g10 = g + row_00*col_00*NGv;
int i, j, n;
const double complex *p00, *p10;
double complex *p01 = out;
for (j = STARTX_IF_L_DEC1(lj); j < _LEN_CART[lj-1]; j++) {
for (i = 0; i < row_00; i++) {
p00 = g00 + (j*row_00+i) * NGv;
p10 = g10 + (j*row_10+WHEREX_IF_L_INC1(i)) * NGv;
p01 = out + i*row_01 * NGv;
for (n = 0; n < NGv; n++) {
p01[n] = p10[n] + rirj[0] * p00[n];
}
}
out += NGv;
}
for (j = STARTY_IF_L_DEC1(lj); j < _LEN_CART[lj-1]; j++) {
for (i = 0; i < row_00; i++) {
p00 = g00 + (j*row_00+i) * NGv;
p10 = g10 + (j*row_10+WHEREY_IF_L_INC1(i)) * NGv;
p01 = out + i*row_01 * NGv;
for (n = 0; n < NGv; n++) {
p01[n] = p10[n] + rirj[1] * p00[n];
}
}
out += NGv;
}
j = STARTZ_IF_L_DEC1(lj);
if (j < _LEN_CART[lj-1]) {
for (i = 0; i < row_00; i++) {
p00 = g00 + (j*row_00+i) * NGv;
p10 = g10 + (j*row_10+WHEREZ_IF_L_INC1(i)) * NGv;
p01 = out + i*row_01 * NGv;
for (n = 0; n < NGv; n++) {
p01[n] = p10[n] + rirj[2] * p00[n];
}
}
}
}
static void vrr2d_withGv(double complex *out, double complex *g,
double complex *gbuf2, const int li, const int lj,
const double *ri, const double *rj, size_t NGv)
{
const int nmax = li + lj;
double complex *g00, *g01, *gswap, *pg00, *pg01;
int row_01, col_01, row_00, col_00;
int i, j;
double rirj[3];
rirj[0] = ri[0] - rj[0];
rirj[1] = ri[1] - rj[1];
rirj[2] = ri[2] - rj[2];
g00 = gbuf2;
g01 = g;
for (j = 1; j < lj; j++) {
gswap = g00;
g00 = g01;
g01 = gswap;
pg00 = g00;
pg01 = g01;
for (i = li; i <= nmax-j; i++) {
vrr2d_ket_inc1_withGv(pg01, pg00, rirj, i, j, NGv);
row_01 = _LEN_CART[i];
col_01 = _LEN_CART[j];
row_00 = _LEN_CART[i ];
col_00 = _LEN_CART[j-1];
pg00 += row_00*col_00 * NGv;
pg01 += row_01*col_01 * NGv;
}
}
vrr2d_ket_inc1_withGv(out, g01, rirj, li, lj, NGv);
}
/* (0,li+lj) => (li,lj) */
static void hrr2d_withGv(double complex *out, double complex *g,
double complex *gbuf2, const int li, const int lj,
const double *ri, const double *rj, size_t NGv)
{
const int nmax = li + lj;
double complex *g00, *g01, *gswap, *pg00, *pg01;
int row_01, col_01, row_00, col_00;
int i, j;
double rjri[3];
rjri[0] = rj[0] - ri[0];
rjri[1] = rj[1] - ri[1];
rjri[2] = rj[2] - ri[2];
g00 = gbuf2;
g01 = g;
for (i = 1; i < li; i++) {
gswap = g00;
g00 = g01;
g01 = gswap;
pg00 = g00;
pg01 = g01;
for (j = lj; j <= nmax-i; j++) {
vrr2d_ket_inc1_withGv(pg01, pg00, rjri, j, i, NGv);
row_01 = _LEN_CART[j];
col_01 = _LEN_CART[i];
row_00 = _LEN_CART[j ];
col_00 = _LEN_CART[i-1];
pg00 += row_00*col_00 * NGv;
pg01 += row_01*col_01 * NGv;
}
}
vrr2d_inc1_swapij(out, g01, rjri, lj, li, NGv);
}
/*
* Recursive relation
*/
static void aopair_rr_igtj_early(double complex *g, double ai, double aj,
CINTEnvVars *envs, FPtr_eval_gz eval_gz,
double complex fac, double *Gv, double *b,
int *gxyz, int *gs, size_t NGv)
{
const int topl = envs->li_ceil + envs->lj_ceil;
const double aij = ai + aj;
const double *ri = envs->ri;
const double *rj = envs->rj;
double rij[3], rijri[3];
rij[0] = (ai * ri[0] + aj * rj[0]) / aij;
rij[1] = (ai * ri[1] + aj * rj[1]) / aij;
rij[2] = (ai * ri[2] + aj * rj[2]) / aij;
rijri[0] = rij[0] - ri[0];
rijri[1] = rij[1] - ri[1];
rijri[2] = rij[2] - ri[2];
(*eval_gz)(g, aij, rij, fac, Gv, b, gxyz, gs, NGv);
vrr1d_withGv(g, rijri, aij, Gv, topl, NGv);
}
static void aopair_rr_iltj_early(double complex *g, double ai, double aj,
CINTEnvVars *envs, FPtr_eval_gz eval_gz,
double complex fac, double *Gv, double *b,
int *gxyz, int *gs, size_t NGv)
{
const int topl = envs->li_ceil + envs->lj_ceil;
const double aij = ai + aj;
const double *ri = envs->ri;
const double *rj = envs->rj;
double rij[3], rijrj[3];
rij[0] = (ai * ri[0] + aj * rj[0]) / aij;
rij[1] = (ai * ri[1] + aj * rj[1]) / aij;
rij[2] = (ai * ri[2] + aj * rj[2]) / aij;
rijrj[0] = rij[0] - rj[0];
rijrj[1] = rij[1] - rj[1];
rijrj[2] = rij[2] - rj[2];
(*eval_gz)(g, aij, rij, fac, Gv, b, gxyz, gs, NGv);
vrr1d_withGv(g, rijrj, aij, Gv, topl, NGv);
}
static void aopair_rr_igtj_lazy(double complex *g, double ai, double aj,
CINTEnvVars *envs, FPtr_eval_gz eval_gz,
double complex fac, double *Gv, double *b,
int *gxyz, int *gs, size_t NGv)
{
const int nmax = envs->li_ceil + envs->lj_ceil;
const int lj = envs->lj_ceil;
const int dj = envs->g_stride_j;
const double aij = ai + aj;
const double a2 = .5 / aij;
const double *ri = envs->ri;
const double *rj = envs->rj;
double rij[3], rirj[3], rijri[3];
double complex *gx = g;
double complex *gy = gx + envs->g_size * NGv;
double complex *gz = gy + envs->g_size * NGv;
double *kx = Gv;
double *ky = kx + NGv;
double *kz = ky + NGv;
size_t off0, off1, off2;
int i, j, n, ptr;
double ia2;
rirj[0] = ri[0] - rj[0];
rirj[1] = ri[1] - rj[1];
rirj[2] = ri[2] - rj[2];
rij[0] = (ai * ri[0] + aj * rj[0]) / aij;
rij[1] = (ai * ri[1] + aj * rj[1]) / aij;
rij[2] = (ai * ri[2] + aj * rj[2]) / aij;
rijri[0] = rij[0] - ri[0];
rijri[1] = rij[1] - ri[1];
rijri[2] = rij[2] - ri[2];
for (n = 0; n < NGv; n++) {
gx[n] = 1;
gy[n] = 1;
}
(*eval_gz)(gz, aij, rij, fac, Gv, b, gxyz, gs, NGv);
if (nmax > 0) {
for (n = 0; n < NGv; n++) {
if (gz[n] != 0) {
gx[NGv+n] = (rijri[0] - kx[n]*a2*_Complex_I) * gx[n];
gy[NGv+n] = (rijri[1] - ky[n]*a2*_Complex_I) * gy[n];
gz[NGv+n] = (rijri[2] - kz[n]*a2*_Complex_I) * gz[n];
}
}
}
for (i = 1; i < nmax; i++) {
off0 = (i-1) * NGv;
off1 = i * NGv;
off2 = (i+1) * NGv;
ia2 = i * a2;
for (n = 0; n < NGv; n++) {
if (gz[n] != 0) {
gx[off2+n] = ia2 * gx[off0+n] + (rijri[0] - kx[n]*a2*_Complex_I) * gx[off1+n];
gy[off2+n] = ia2 * gy[off0+n] + (rijri[1] - ky[n]*a2*_Complex_I) * gy[off1+n];
gz[off2+n] = ia2 * gz[off0+n] + (rijri[2] - kz[n]*a2*_Complex_I) * gz[off1+n];
}
}
}
for (j = 1; j <= lj; j++) {
ptr = dj * j;
for (i = ptr; i <= ptr + nmax - j; i++) {
off0 = i * NGv - dj * NGv; // [i, j-1]
off1 = (i+1) * NGv - dj * NGv; // [i+1,j-1]
off2 = i * NGv; // [i, j ]
for (n = 0; n < NGv; n++) {
if (gz[n] != 0) {
gx[off2+n] = gx[off1+n] + rirj[0] * gx[off0+n];
gy[off2+n] = gy[off1+n] + rirj[1] * gy[off0+n];
gz[off2+n] = gz[off1+n] + rirj[2] * gz[off0+n];
}
}
}
}
}
static void aopair_rr_iltj_lazy(double complex *g, double ai, double aj,
CINTEnvVars *envs, FPtr_eval_gz eval_gz,
double complex fac, double *Gv, double *b,
int *gxyz, int *gs, size_t NGv)
{
const int nmax = envs->li_ceil + envs->lj_ceil;
const int li = envs->li_ceil;
const int dj = envs->g_stride_j;
const double aij = ai + aj;
const double a2 = .5 / aij;
const double *ri = envs->ri;
const double *rj = envs->rj;
double rij[3], rirj[3], rijrj[3];
double complex *gx = g;
double complex *gy = gx + envs->g_size * NGv;
double complex *gz = gy + envs->g_size * NGv;
double *kx = Gv;
double *ky = kx + NGv;
double *kz = ky + NGv;
size_t off0, off1, off2;
int i, j, n;
double ia2;
rirj[0] = rj[0] - ri[0];
rirj[1] = rj[1] - ri[1];
rirj[2] = rj[2] - ri[2];
rij[0] = (ai * ri[0] + aj * rj[0]) / aij;
rij[1] = (ai * ri[1] + aj * rj[1]) / aij;
rij[2] = (ai * ri[2] + aj * rj[2]) / aij;
rijrj[0] = rij[0] - rj[0];
rijrj[1] = rij[1] - rj[1];
rijrj[2] = rij[2] - rj[2];
for (n = 0; n < NGv; n++) {
gx[n] = 1;
gy[n] = 1;
}
(*eval_gz)(gz, aij, rij, fac, Gv, b, gxyz, gs, NGv);
if (nmax > 0) {
off0 = dj * NGv;
for (n = 0; n < NGv; n++) {
if (gz[n] != 0) {
gx[off0+n] = (rijrj[0] - kx[n]*a2*_Complex_I) * gx[n];
gy[off0+n] = (rijrj[1] - ky[n]*a2*_Complex_I) * gy[n];
gz[off0+n] = (rijrj[2] - kz[n]*a2*_Complex_I) * gz[n];
}
}
}
for (i = 1; i < nmax; i++) {
off0 = (i-1) * dj * NGv;
off1 = i * dj * NGv;
off2 = (i+1) * dj * NGv;
ia2 = i * a2;
for (n = 0; n < NGv; n++) {
if (gz[n] != 0) {
gx[off2+n] = ia2 * gx[off0+n] + (rijrj[0] - kx[n]*a2*_Complex_I) * gx[off1+n];
gy[off2+n] = ia2 * gy[off0+n] + (rijrj[1] - ky[n]*a2*_Complex_I) * gy[off1+n];
gz[off2+n] = ia2 * gz[off0+n] + (rijrj[2] - kz[n]*a2*_Complex_I) * gz[off1+n];
}
}
}
for (i = 1; i <= li; i++) {
for (j = 0; j <= nmax - i; j++) {
off0 = (i-1) * NGv + j * dj * NGv; // [i-1,j ]
off1 = (i-1) * NGv + (j+1) * dj * NGv; // [i-1,j+1]
off2 = i * NGv + j * dj * NGv; // [i ,j ]
for (n = 0; n < NGv; n++) {
if (gz[n] != 0) {
gx[off2+n] = gx[off1+n] + rirj[0] * gx[off0+n];
gy[off2+n] = gy[off1+n] + rirj[1] * gy[off0+n];
gz[off2+n] = gz[off1+n] + rirj[2] * gz[off0+n];
}
}
}
}
}
static void inner_prod(double complex *g, double complex *gout,
int *idx, const CINTEnvVars *envs,
double *Gv, size_t NGv, int empty)
{
int ix, iy, iz, n, k;
double complex *gz = g + envs->g_size * NGv * 2;
if (empty) {
for (n = 0; n < envs->nf; n++) {
ix = idx[n*3+0];
iy = idx[n*3+1];
iz = idx[n*3+2];
for (k = 0; k < NGv; k++) {
if (gz[k] != 0) {
gout[n*NGv+k] = g[ix*NGv+k] * g[iy*NGv+k] * g[iz*NGv+k];
} else {
gout[n*NGv+k] = 0;
}
}
}
} else {
for (n = 0; n < envs->nf; n++) {
ix = idx[n*3+0];
iy = idx[n*3+1];
iz = idx[n*3+2];
for (k = 0; k < NGv; k++) {
if (gz[k] != 0) {
gout[n*NGv+k] += g[ix*NGv+k] * g[iy*NGv+k] * g[iz*NGv+k];
}
}
}
}
}
static void prim_to_ctr(double complex *gc, const size_t nf, double complex *gp,
const int nprim, const int nctr, const double *coeff,
int empty)
{
size_t n, i;
double c;
if (empty) {
for (n = 0; n < nctr; n++) {
c = coeff[nprim*n];
for (i = 0; i < nf; i++) {
gc[i] = gp[i] * c;
}
gc += nf;
}
} else {
for (n = 0; n < nctr; n++) {
c = coeff[nprim*n];
if (c != 0) {
for (i = 0; i < nf; i++) {
gc[i] += gp[i] * c;
}
}
gc += nf;
}
}
}
static void transpose(double complex *out, double complex *in,
int nf, int comp, size_t NGv)
{
size_t n, k, ic;
double complex *pin;
for (ic = 0; ic < comp; ic++) {
for (n = 0; n < nf; n++) {
pin = in + (n*comp+ic) * NGv;
for (k = 0; k < NGv; k++) {
out[n*NGv+k] = pin[k];
}
}
out += nf * NGv;
}
}
static const int _GBUFSIZE[] = {
1, 4, 10, 10, 20, 48, 20, 35, 75, 150, 35, 56, 108, 216, 384,
56, 84, 147, 294, 510, 850, 84, 120, 192, 384, 654, 1090, 1640,
120, 165, 243, 486, 816, 1360, 2040, 3030
};
#define bufsize(i,j) _GBUFSIZE[((i>=j) ? (i*(i+1)/2+j) : (j*(j+1)/2+i))]
int GTO_aopair_early_contract(double complex *out, CINTEnvVars *envs,
FPtr_eval_gz eval_gz, double complex fac,
double *Gv, double *b, int *gxyz, int *gs, size_t NGv)
{
const int *shls = envs->shls;
const int *bas = envs->bas;
const double *env = envs->env;
const int i_sh = shls[0];
const int j_sh = shls[1];
const int i_l = envs->i_l;
const int j_l = envs->j_l;
const int i_ctr = envs->x_ctr[0];
const int j_ctr = envs->x_ctr[1];
const int i_prim = bas(NPRIM_OF, i_sh);
const int j_prim = bas(NPRIM_OF, j_sh);
const int nf = envs->nf;
const double *ri = envs->ri;
const double *rj = envs->rj;
const double *ai = env + bas(PTR_EXP, i_sh);
const double *aj = env + bas(PTR_EXP, j_sh);
const double *ci = env + bas(PTR_COEFF, i_sh);
const double *cj = env + bas(PTR_COEFF, j_sh);
double fac1i, fac1j;
double aij, dij, eij;
int ip, jp, n;
int empty[2] = {1, 1};
int *jempty = empty + 0;
int *iempty = empty + 1;
const size_t len1 = bufsize(i_l,j_l) * NGv;
const size_t leni = len1 * i_ctr;
const size_t lenj = len1 * i_ctr * j_ctr;
double complex *gctrj = malloc(sizeof(double complex)*(lenj+leni+len1));
double complex *g = gctrj + lenj;
double complex *gctri, *g1d;
if (j_ctr == 1) {
gctri = gctrj;
iempty = jempty;
} else {
gctri = g;
g += leni;
}
g1d = g;
void (*aopair_rr)();
int offset_g1d;
if (i_l >= j_l) {
aopair_rr = aopair_rr_igtj_early;
offset_g1d = _CUM_LEN_CART[i_l] - _LEN_CART[i_l];
} else {
aopair_rr = aopair_rr_iltj_early;
offset_g1d = _CUM_LEN_CART[j_l] - _LEN_CART[j_l];
}
int len_g1d = _CUM_LEN_CART[i_l+j_l] - offset_g1d;
double rrij = CINTsquare_dist(ri, rj);
double fac1 = SQRTPI * M_PI * CINTcommon_fac_sp(i_l) * CINTcommon_fac_sp(j_l);
*jempty = 1;
for (jp = 0; jp < j_prim; jp++) {
if (j_ctr == 1) {
fac1j = fac1 * cj[jp];
} else {
fac1j = fac1;
*iempty = 1;
}
for (ip = 0; ip < i_prim; ip++) {
aij = ai[ip] + aj[jp];
eij = (ai[ip] * aj[jp] / aij) * rrij;
if (eij > EXPCUTOFF) {
continue;
}
dij = exp(-eij) / (aij * sqrt(aij));
fac1i = fac1j * dij;
(*aopair_rr)(g, ai[ip], aj[jp], envs, eval_gz,
fac*fac1i, Gv, b, gxyz, gs, NGv);
prim_to_ctr(gctri, len_g1d*NGv, g1d+offset_g1d*NGv,
i_prim, i_ctr, ci+ip, *iempty);
*iempty = 0;
}
if (!*iempty) {
if (j_ctr > 1) {
prim_to_ctr(gctrj, i_ctr*len_g1d*NGv, gctri,
j_prim,j_ctr, cj+jp, *jempty);
}
*jempty = 0;
}
}
if (!*jempty) {
g1d = gctrj;
for (n = 0; n < i_ctr*j_ctr; n++) {
if (i_l >= j_l) {
vrr2d_withGv(out+n*nf*NGv, g1d, gctrj+lenj,
envs->li_ceil, envs->lj_ceil, ri, rj, NGv);
} else {
hrr2d_withGv(out+n*nf*NGv, g1d, gctrj+lenj,
envs->li_ceil, envs->lj_ceil, ri, rj, NGv);
}
g1d += len_g1d * NGv;
}
}
free(gctrj);
return !*jempty;
}
int GTO_aopair_lazy_contract(double complex *gctr, CINTEnvVars *envs,
FPtr_eval_gz eval_gz, double complex fac,
double *Gv, double *b, int *gxyz, int *gs, size_t NGv)
{
const int *shls = envs->shls;
const int *bas = envs->bas;
const double *env = envs->env;
const int i_sh = shls[0];
const int j_sh = shls[1];
const int i_l = envs->i_l;
const int j_l = envs->j_l;
const int i_ctr = envs->x_ctr[0];
const int j_ctr = envs->x_ctr[1];
const int i_prim = bas(NPRIM_OF, i_sh);
const int j_prim = bas(NPRIM_OF, j_sh);
const int n_comp = envs->ncomp_e1 * envs->ncomp_tensor;
const int nf = envs->nf;
const double *ri = envs->ri;
const double *rj = envs->rj;
const double *ai = env + bas(PTR_EXP, i_sh);
const double *aj = env + bas(PTR_EXP, j_sh);
const double *ci = env + bas(PTR_COEFF, i_sh);
const double *cj = env + bas(PTR_COEFF, j_sh);
double fac1i, fac1j;
double aij, dij, eij;
int ip, jp;
int empty[3] = {1, 1, 1};
int *jempty = empty + 0;
int *iempty = empty + 1;
int *gempty = empty + 2;
const size_t len1 = envs->g_size * 3 * (1<<envs->gbits) * NGv;
const size_t leng = nf * n_comp * NGv;
const size_t leni = nf * i_ctr * n_comp * NGv;
size_t lenj = 0;
if (n_comp > 1) {
lenj = nf * i_ctr * j_ctr * n_comp * NGv;
}
double complex *g = malloc(sizeof(double complex) * (len1+leng+leni+lenj));
double complex *g1 = g + len1;
double complex *gout, *gctri, *gctrj;
if (n_comp == 1) {
gctrj = gctr;
} else {
gctrj = g1;
g1 += lenj;
}
if (j_ctr == 1) {
gctri = gctrj;
iempty = jempty;
} else {
gctri = g1;
g1 += leni;
}
if (i_ctr == 1) {
gout = gctri;
gempty = iempty;
} else {
gout = g1;
}
void (*aopair_rr)();
if (i_l >= j_l) {
aopair_rr = aopair_rr_igtj_lazy;
} else {
aopair_rr = aopair_rr_iltj_lazy;
}
int *idx = malloc(sizeof(int) * nf * 3);
_g2c_index_xyz(idx, envs);
double rrij = CINTsquare_dist(ri, rj);
double fac1 = SQRTPI * M_PI * CINTcommon_fac_sp(i_l) * CINTcommon_fac_sp(j_l);
*jempty = 1;
for (jp = 0; jp < j_prim; jp++) {
envs->aj = aj[jp];
if (j_ctr == 1) {
fac1j = fac1 * cj[jp];
} else {
fac1j = fac1;
*iempty = 1;
}
for (ip = 0; ip < i_prim; ip++) {
envs->ai = ai[ip];
aij = ai[ip] + aj[jp];
eij = (ai[ip] * aj[jp] / aij) * rrij;
if (eij > EXPCUTOFF) {
continue;
}
dij = exp(-eij) / (aij * sqrt(aij));
if (i_ctr == 1) {
fac1i = fac1j * dij * ci[ip];
} else {
fac1i = fac1j * dij;
}
(*aopair_rr)(g, ai[ip], aj[jp], envs, eval_gz,
fac*fac1i, Gv, b, gxyz, gs, NGv);
(*envs->f_gout)(g, gout, idx, envs, Gv, NGv, *gempty);
if (i_ctr > 1) {
prim_to_ctr(gctri, nf*n_comp*NGv, gout,
i_prim, i_ctr, ci+ip, *iempty);
}
*iempty = 0;
}
if (!*iempty) {
if (j_ctr > 1) {
prim_to_ctr(gctrj, i_ctr*nf*n_comp*NGv, gctri,
j_prim, j_ctr, cj+jp, *jempty);
}
*jempty = 0;
}
}
if (n_comp > 1 && !*jempty) {
transpose(gctr, gctrj, nf*i_ctr*j_ctr, n_comp, NGv);
}
free(g);
free(idx);
return !*jempty;
}
void GTO_Gv_general(double complex *out, double aij, double *rij,
double complex fac, double *Gv, double *b,
int *gxyz, int *gs, size_t NGv)
{
double *kx = Gv;
double *ky = kx + NGv;
double *kz = ky + NGv;
const double cutoff = EXPCUTOFF * aij * 4;
int n;
double kR, kk;
for (n = 0; n < NGv; n++) {
kk = kx[n] * kx[n] + ky[n] * ky[n] + kz[n] * kz[n];
if (kk < cutoff) {
kR = kx[n] * rij[0] + ky[n] * rij[1] + kz[n] * rij[2];
out[n] = exp(-.25*kk/aij) * fac * (cos(kR) - sin(kR)*_Complex_I);
} else {
out[n] = 0;
}
}
}
/*
* Gv = dot(b.T,gxyz) + kpt
* kk = dot(Gv, Gv)
* kr = dot(rij, Gv) = dot(rij,b.T, gxyz) + dot(rij,kpt) = dot(br, gxyz) + dot(rij,kpt)
* out = fac * exp(-.25 * kk / aij) * (cos(kr) - sin(kr) * _Complex_I);
*
* b: the first 9 elements are 2\pi*inv(a^T), then 3 elements for k_{ij},
* followed by 3*NGv floats for Gbase
*/
void GTO_Gv_orth(double complex *out, double aij, double *rij,
double complex fac, double *Gv, double *b,
int *gxyz, int *gs, size_t NGv)
{
const int nx = gs[0];
const int ny = gs[1];
const int nz = gs[2];
double br[3]; // dot(rij, b)
br[0] = rij[0] * b[0];
br[1] = rij[1] * b[4];
br[2] = rij[2] * b[8];
double *kpt = b + 9;
double kr[3];
kr[0] = rij[0] * kpt[0];
kr[1] = rij[1] * kpt[1];
kr[2] = rij[2] * kpt[2];
double *Gxbase = b + 12;
double *Gybase = Gxbase + nx;
double *Gzbase = Gybase + ny;
double *kx = Gv;
double *ky = kx + NGv;
double *kz = ky + NGv;
double complex zbuf[nx+ny+nz];
double complex *csx = zbuf;
double complex *csy = csx + nx;
double complex *csz = csy + ny;
double kkpool[nx+ny+nz];
double *kkx = kkpool;
double *kky = kkx + nx;
double *kkz = kky + ny;
int *gx = gxyz;
int *gy = gx + NGv;
int *gz = gy + NGv;
const double cutoff = EXPCUTOFF * aij * 4;
int n, ix, iy, iz;
double Gr;
for (n = 0; n < nx+ny+nz; n++) {
kkpool[n] = -1;
}
for (n = 0; n < NGv; n++) {
ix = gx[n];
iy = gy[n];
iz = gz[n];
if (kkx[ix] < 0) {
Gr = Gxbase[ix] * br[0] + kr[0];
kkx[ix] = .25 * kx[n]*kx[n] / aij;
csx[ix] = exp(-kkx[ix]) * (cos(Gr)-sin(Gr)*_Complex_I);
}
if (kky[iy] < 0) {
Gr = Gybase[iy] * br[1] + kr[1];
kky[iy] = .25 * ky[n]*ky[n] / aij;
csy[iy] = exp(-kky[iy]) * (cos(Gr)-sin(Gr)*_Complex_I);
}
if (kkz[iz] < 0) {
Gr = Gzbase[iz] * br[2] + kr[2];
kkz[iz] = .25 * kz[n]*kz[n] / aij;
csz[iz] = fac * exp(-kkz[iz]) * (cos(Gr)-sin(Gr)*_Complex_I);
}
if (kkx[ix] + kky[iy] + kkz[iz] < cutoff) {
out[n] = csx[ix] * csy[iy] * csz[iz];
} else {
out[n] = 0;
}
}
}
void GTO_Gv_nonorth(double complex *out, double aij, double *rij,
double complex fac, double *Gv, double *b,
int *gxyz, int *gs, size_t NGv)
{
const int nx = gs[0];
const int ny = gs[1];
const int nz = gs[2];
double br[3]; // dot(rij, b)
br[0] = rij[0] * b[0];
br[0] += rij[1] * b[1];
br[0] += rij[2] * b[2];
br[1] = rij[0] * b[3];
br[1] += rij[1] * b[4];
br[1] += rij[2] * b[5];
br[2] = rij[0] * b[6];
br[2] += rij[1] * b[7];
br[2] += rij[2] * b[8];
double *kpt = b + 9;
double kr[3];
kr[0] = rij[0] * kpt[0];
kr[1] = rij[1] * kpt[1];
kr[2] = rij[2] * kpt[2];
double *Gxbase = b + 12;
double *Gybase = Gxbase + nx;
double *Gzbase = Gybase + ny;
double *kx = Gv;
double *ky = kx + NGv;
double *kz = ky + NGv;
double complex zbuf[nx+ny+nz];
double complex *csx = zbuf;
double complex *csy = csx + nx;
double complex *csz = csy + ny;
char empty[nx+ny+nz];
char *xempty = empty;
char *yempty = xempty + nx;
char *zempty = yempty + ny;
memset(empty, 1, sizeof(char)*(nx+ny+nz));
int *gx = gxyz;
int *gy = gx + NGv;
int *gz = gy + NGv;
const double cutoff = EXPCUTOFF * aij * 4;
int n, ix, iy, iz;
double Gr, kk;
for (n = 0; n < NGv; n++) {
ix = gx[n];
iy = gy[n];
iz = gz[n];
kk = kx[n] * kx[n] + ky[n] * ky[n] + kz[n] * kz[n];
if (kk < cutoff) {
ix = gx[n];
iy = gy[n];
iz = gz[n];
if (xempty[ix]) {
Gr = Gxbase[ix] * br[0] + kr[0];
csx[ix] = cos(Gr)-sin(Gr)*_Complex_I;
xempty[ix] = 0;
}
if (yempty[iy]) {
Gr = Gybase[iy] * br[1] + kr[1];
csy[iy] = cos(Gr)-sin(Gr)*_Complex_I;
yempty[iy] = 0;
}
if (zempty[iz]) {
Gr = Gzbase[iz] * br[2] + kr[2];
csz[iz] = fac * (cos(Gr)-sin(Gr)*_Complex_I);
zempty[iz] = 0;
}
out[n] = exp(-.25*kk/aij) * csx[ix]*csy[iy]*csz[iz];
} else {
out[n] = 0;
}
}
}
static void zcopy_ij(double complex *out, const double complex *gctr,
const int mi, const int mj, const int ni, const size_t NGv)
{
int i, j, k;
for (j = 0; j < mj; j++) {
for (i = 0; i < mi; i++) {
for (k = 0; k < NGv; k++) {
out[i*NGv+k] = gctr[i*NGv+k];
}
}
out += ni * NGv;
gctr += mi * NGv;
}
}
void GTO_ft_c2s_cart(double complex *out, double complex *gctr,
int *dims, CINTEnvVars *envs, size_t NGv)
{
const int i_ctr = envs->x_ctr[0];
const int j_ctr = envs->x_ctr[1];
const int nfi = envs->nfi;
const int nfj = envs->nfj;
const int ni = nfi*i_ctr;
const int nj = nfj*j_ctr;
const int nf = envs->nf;
int ic, jc;
double complex *pout;
for (jc = 0; jc < nj; jc += nfj) {
for (ic = 0; ic < ni; ic += nfi) {
pout = out + (dims[0] * jc + ic) * NGv;
zcopy_ij(pout, gctr, nfi, nfj, dims[0], NGv);
gctr += nf * NGv;
} }
}
#define C2S(sph, nket, cart, l) \
(double complex *)CINTc2s_ket_sph((double *)(sph), nket, (double *)(cart), l)
#define OF_CMPLX 2
void GTO_ft_c2s_sph(double complex *out, double complex *gctr,
int *dims, CINTEnvVars *envs, size_t NGv)
{
const int i_l = envs->i_l;
const int j_l = envs->j_l;
const int i_ctr = envs->x_ctr[0];
const int j_ctr = envs->x_ctr[1];
const int di = i_l * 2 + 1;
const int dj = j_l * 2 + 1;
const int ni = di*i_ctr;
const int nj = dj*j_ctr;
const int nfi = envs->nfi;
const int nf = envs->nf;
int ic, jc, k;
const int buflen = nfi*dj;
double complex *buf1 = malloc(sizeof(double complex) * buflen*2 * NGv);
double complex *buf2 = buf1 + buflen * NGv;
double complex *pout, *pij, *buf;
for (jc = 0; jc < nj; jc += dj) {
for (ic = 0; ic < ni; ic += di) {
buf = C2S(buf1, nfi*NGv*OF_CMPLX, gctr, j_l);
pij = C2S(buf2, NGv*OF_CMPLX, buf, i_l);
for (k = NGv; k < dj*NGv; k+=NGv) {
pout = C2S(buf2+k*di, NGv*OF_CMPLX, buf+k*nfi, i_l);
}
pout = out + (dims[0] * jc + ic) * NGv;
zcopy_ij(pout, pij, di, dj, dims[0], NGv);
gctr += nf * NGv;
} }
free(buf1);
}
static void _ft_zset0(double complex *out, int *dims, int *counts,
int comp, size_t NGv)
{
double complex *pout;
int i, j, k, ic;
for (ic = 0; ic < comp; ic++) {
for (j = 0; j < counts[1]; j++) {
pout = out + j * counts[0] * NGv;
for (i = 0; i < counts[0]; i++) {
for (k = 0; k < NGv; k++) {
pout[i*NGv+k] = 0;
}
}
}
out += dims[0] * dims[1] * NGv;
}
}
/*************************************************
*
* eval_aopair is one of GTO_aopair_early_contract,
* GTO_aopair_lazy_contract
*
* eval_gz is one of GTO_Gv_general, GTO_Gv_uniform_orth,
* GTO_Gv_uniform_nonorth, GTO_Gv_nonuniform_orth
*
*************************************************/
int GTO_ft_aopair_drv(double complex *out, int *dims,
int (*eval_aopair)(), FPtr_eval_gz eval_gz, void (*f_c2s)(),
double complex fac, double *Gv, double *b, int *gxyz,
int *gs, size_t NGv, CINTEnvVars *envs)
{
const int i_ctr = envs->x_ctr[0];
const int j_ctr = envs->x_ctr[1];
const int n_comp = envs->ncomp_e1 * envs->ncomp_tensor;
const size_t nc = envs->nf * i_ctr * j_ctr * NGv;
double complex *gctr = malloc(sizeof(double complex) * nc * n_comp);
if (eval_gz == NULL) {
eval_gz = GTO_Gv_general;
}
if (eval_gz != GTO_Gv_general) {
assert(gxyz != NULL);
}
if (eval_aopair == NULL) {
const int *shls = envs->shls;
const int *bas = envs->bas;
const int i_sh = shls[0];
const int j_sh = shls[1];
const int i_prim = bas(NPRIM_OF, i_sh);
const int j_prim = bas(NPRIM_OF, j_sh);
if (i_prim*j_prim < i_ctr*j_ctr*3) {
eval_aopair = GTO_aopair_lazy_contract;
} else {
eval_aopair = GTO_aopair_early_contract;
}
}
int has_value = (*eval_aopair)(gctr, envs, eval_gz,
fac, Gv, b, gxyz, gs, NGv);
int counts[4];
if (f_c2s == >O_ft_c2s_sph) {
counts[0] = (envs->i_l*2+1) * i_ctr;
counts[1] = (envs->j_l*2+1) * j_ctr;
} else { // f_c2s == >O_ft_c2s_cart
counts[0] = envs->nfi * i_ctr;
counts[1] = envs->nfj * j_ctr;
}
if (dims == NULL) {
dims = counts;
}
size_t nout = dims[0] * dims[1] * NGv;
int n;
if (has_value) {
for (n = 0; n < n_comp; n++) {
(*f_c2s)(out+nout*n, gctr+nc*n, dims, envs, NGv);
}
} else {
_ft_zset0(out, dims, counts, n_comp, NGv);
}
free(gctr);
return has_value;
}
int GTO_ft_ovlp_cart(double complex *out, int *shls, int *dims,
int (*eval_aopair)(), FPtr_eval_gz eval_gz, double complex fac,
double *Gv, double *b, int *gxyz, int *gs, int nGv,
int *atm, int natm, int *bas, int nbas, double *env)
{
CINTEnvVars envs;
int ng[] = {0, 0, 0, 0, 0, 1, 0, 1};
GTO_ft_init1e_envs(&envs, ng, shls, atm, natm, bas, nbas, env);
envs.f_gout = &inner_prod;
return GTO_ft_aopair_drv(out, dims, eval_aopair, eval_gz, >O_ft_c2s_cart,
fac, Gv, b, gxyz, gs, nGv, &envs);
}
int GTO_ft_ovlp_sph(double complex *out, int *shls, int *dims,
int (*eval_aopair)(), FPtr_eval_gz eval_gz, double complex fac,
double *Gv, double *b, int *gxyz, int *gs, int nGv,
int *atm, int natm, int *bas, int nbas, double *env)
{
CINTEnvVars envs;
int ng[] = {0, 0, 0, 0, 0, 1, 0, 1};
GTO_ft_init1e_envs(&envs, ng, shls, atm, natm, bas, nbas, env);
envs.f_gout = &inner_prod;
return GTO_ft_aopair_drv(out, dims, eval_aopair, eval_gz, >O_ft_c2s_sph,
fac, Gv, b, gxyz, gs, nGv, &envs);
}
/*************************************************
*
*************************************************/
static void zcopy_s2_igtj(double complex *out, double complex *in, size_t NGv,
int comp, int nij, int ip, int di, int dj)
{
const size_t ip1 = ip + 1;
int i, j, n, ic;
double complex *pin, *pout;
for (ic = 0; ic < comp; ic++) {
pout = out + ic * nij * NGv;
for (i = 0; i < di; i++) {
for (j = 0; j < dj; j++) {
pin = in + NGv * (j*di+i);
for (n = 0; n < NGv; n++) {
pout[j*NGv+n] = pin[n];
}
}
pout += (ip1 + i) * NGv;
}
}
}
static void zcopy_s2_ieqj(double complex *out, double complex *in, size_t NGv,
int comp, int nij, int ip, int di, int dj)
{
const size_t ip1 = ip + 1;
int i, j, n, ic;
double complex *pin, *pout;
for (ic = 0; ic < comp; ic++) {
pout = out + ic * nij * NGv;
for (i = 0; i < di; i++) {
for (j = 0; j <= i; j++) {
pin = in + NGv * (j*di+i);
for (n = 0; n < NGv; n++) {
pout[j*NGv+n] = pin[n];
}
}
pout += (ip1 + i) * NGv;
}
}
}
void GTO_ft_fill_s1(int (*intor)(), int (*eval_aopair)(), FPtr_eval_gz eval_gz,
double complex *mat, int comp, int ish, int jsh,
double complex *buf,
int *shls_slice, int *ao_loc, double complex fac,
double *Gv, double *b, int *gxyz, int *gs, int nGv,
int *atm, int natm, int *bas, int nbas, double *env)
{
const int ish0 = shls_slice[0];
const int ish1 = shls_slice[1];
const int jsh0 = shls_slice[2];
const int jsh1 = shls_slice[3];
ish += ish0;
jsh += jsh0;
const int nrow = ao_loc[ish1] - ao_loc[ish0];
const int ncol = ao_loc[jsh1] - ao_loc[jsh0];
const size_t off = ao_loc[ish] - ao_loc[ish0] + (ao_loc[jsh] - ao_loc[jsh0]) * nrow;
int shls[2] = {ish, jsh};
int dims[2] = {nrow, ncol};
(*intor)(mat+off*nGv, shls, dims, eval_aopair, eval_gz,
fac, Gv, b, gxyz, gs, nGv, atm, natm, bas, nbas, env);
}
void GTO_ft_fill_s1hermi(int (*intor)(), int (*eval_aopair)(), FPtr_eval_gz eval_gz,
double complex *mat, int comp, int ish, int jsh,
double complex *buf,
int *shls_slice, int *ao_loc, double complex fac,
double *Gv, double *b, int *gxyz, int *gs, int nGv,
int *atm, int natm, int *bas, int nbas, double *env)
{
const int ish0 = shls_slice[0];
const int ish1 = shls_slice[1];
const int jsh0 = shls_slice[2];
const int jsh1 = shls_slice[3];
ish += ish0;
jsh += jsh0;
const int ip = ao_loc[ish] - ao_loc[ish0];
const int jp = ao_loc[jsh] - ao_loc[jsh0];
if (ip < jp) {
return;
}
const int nrow = ao_loc[ish1] - ao_loc[ish0];
const int ncol = ao_loc[jsh1] - ao_loc[jsh0];
const size_t off = ao_loc[ish] - ao_loc[ish0] + (ao_loc[jsh] - ao_loc[jsh0]) * nrow;
const size_t NGv = nGv;
int shls[2] = {ish, jsh};
int dims[2] = {nrow, ncol};
(*intor)(mat+off*NGv, shls, dims, eval_aopair, eval_gz,
fac, Gv, b, gxyz, gs, nGv, atm, natm, bas, nbas, env);
if (ip != jp && ish0 == jsh0 && ish1 == jsh1) {
const int di = ao_loc[ish+1] - ao_loc[ish];
const int dj = ao_loc[jsh+1] - ao_loc[jsh];
double complex *in = mat + off * NGv;
double complex *out = mat + (ao_loc[jsh] - ao_loc[jsh0] +
(ao_loc[ish] - ao_loc[ish0]) * nrow) * NGv;
int i, j, n, ic;
double complex *pout, *pin;
for (ic = 0; ic < comp; ic++) {
for (i = 0; i < di; i++) {
for (j = 0; j < dj; j++) {
pin = in + NGv * (j*nrow+i);
pout = out + NGv * (i*nrow+j);
for (n = 0; n < nGv; n++) {
pout[n] = pin[n];
}
}
}
out += nrow * ncol * NGv;
}
}
}
void GTO_ft_fill_s2(int (*intor)(), int (*eval_aopair)(), FPtr_eval_gz eval_gz,
double complex *mat, int comp, int ish, int jsh,
double complex *buf,
int *shls_slice, int *ao_loc, double complex fac,
double *Gv, double *b, int *gxyz, int *gs, int nGv,
int *atm, int natm, int *bas, int nbas, double *env)
{
const int ish0 = shls_slice[0];
const int ish1 = shls_slice[1];
const int jsh0 = shls_slice[2];
ish += ish0;
jsh += jsh0;
const int ip = ao_loc[ish];
const int jp = ao_loc[jsh] - ao_loc[jsh0];
if (ip < jp) {
return;
}
const int di = ao_loc[ish+1] - ao_loc[ish];
const int dj = ao_loc[jsh+1] - ao_loc[jsh];
const int i0 = ao_loc[ish0];
const size_t off0 = i0 * (i0 + 1) / 2;
const size_t off = ip * (ip + 1) / 2 - off0 + jp;
const size_t nij = ao_loc[ish1] * (ao_loc[ish1] + 1) / 2 - off0;
const size_t NGv = nGv;
int shls[2] = {ish, jsh};
int dims[2] = {di, dj};
(*intor)(buf, shls, dims, eval_aopair, eval_gz,
fac, Gv, b, gxyz, gs, nGv, atm, natm, bas, nbas, env);
if (ip != jp) {
zcopy_s2_igtj(mat+off*NGv, buf, NGv, comp, nij, ip, di, dj);
} else {
zcopy_s2_ieqj(mat+off*NGv, buf, NGv, comp, nij, ip, di, dj);
}
}
/*
* Fourier transform AO pairs and add to mat (inplace)
*/
void GTO_ft_fill_drv(int (*intor)(), FPtr_eval_gz eval_gz, void (*fill)(),
double complex *mat, int comp,
int *shls_slice, int *ao_loc, double phase,
double *Gv, double *b, int *gxyz, int *gs, int nGv,
int *atm, int natm, int *bas, int nbas, double *env)
{
const int ish0 = shls_slice[0];
const int ish1 = shls_slice[1];
const int jsh0 = shls_slice[2];
const int jsh1 = shls_slice[3];
const int nish = ish1 - ish0;
const int njsh = jsh1 - jsh0;
const double complex fac = cos(phase) + sin(phase)*_Complex_I;
int (*eval_aopair)() = NULL;
if (intor != >O_ft_ovlp_cart && intor != >O_ft_ovlp_sph) {
eval_aopair = >O_aopair_lazy_contract;
}
#pragma omp parallel default(none) \
shared(intor, eval_gz, eval_aopair, fill, mat, comp, shls_slice, \
ao_loc, Gv, b, gxyz, gs, nGv, atm, natm, bas, nbas, env)
{
int i, j, ij;
double complex *buf = malloc(sizeof(double complex)
* NCTRMAX*NCTRMAX*comp*(size_t)nGv);
#pragma omp for schedule(dynamic)
for (ij = 0; ij < nish*njsh; ij++) {
i = ij / njsh;
j = ij % njsh;
(*fill)(intor, eval_aopair, eval_gz, mat,
comp, i, j, buf, shls_slice, ao_loc, fac,
Gv, b, gxyz, gs, nGv, atm, natm, bas, nbas, env);
}
free(buf);
}
}
/*
* Given npair of shls in shls_lst, FT their AO pair value and add to
* out (inplace)
*/
void GTO_ft_fill_shls_drv(int (*intor)(), FPtr_eval_gz eval_gz,
double complex *out, int comp,
int npair, int *shls_lst, int *ao_loc, double phase,
double *Gv, double *b, int *gxyz, int *gs, int nGv,
int *atm, int natm, int *bas, int nbas, double *env)
{
int n, di, dj, ish, jsh;
int *ijloc = malloc(sizeof(int) * npair);
ijloc[0] = 0;
for (n = 1; n < npair; n++) {
ish = shls_lst[n*2-2];
jsh = shls_lst[n*2-1];
di = ao_loc[ish+1] - ao_loc[ish];
dj = ao_loc[jsh+1] - ao_loc[jsh];
ijloc[n] = ijloc[n-1] + di*dj;
}
const double complex fac = cos(phase) + sin(phase)*_Complex_I;
const size_t NGv = nGv;
int (*eval_aopair)() = NULL;
if (intor != >O_ft_ovlp_cart && intor != >O_ft_ovlp_sph) {
eval_aopair = >O_aopair_lazy_contract;
}
#pragma omp parallel default(none) \
shared(intor, eval_gz, eval_aopair, out, comp, Gv, b, gxyz, gs, \
nGv, npair, shls_lst, ao_loc, \
atm, natm, bas, nbas, env, ijloc) \
private(n)
{
int ish, jsh;
int dims[2];
#pragma omp for schedule(dynamic)
for (n = 0; n < npair; n++) {
ish = shls_lst[n*2 ];
jsh = shls_lst[n*2+1];
dims[0] = ao_loc[ish+1] - ao_loc[ish];
dims[1] = ao_loc[jsh+1] - ao_loc[jsh];
(*intor)(out+ijloc[n]*comp*NGv, shls_lst+n*2, dims,
eval_aopair, eval_gz, fac, Gv, b, gxyz, gs, nGv,
atm, natm, bas, nbas, env);
}
}
free(ijloc);
}
/*
* Reversed vrr2d. They are used by numint_uniform_grid.c
*/
void GTOplain_vrr2d_ket_inc1(double *out, const double *g,
double *rirj, int li, int lj)
{
if (lj == 0) {
memcpy(out, g, sizeof(double)*_LEN_CART[li]);
return;
}
const int row_10 = _LEN_CART[li+1];
const int row_00 = _LEN_CART[li ];
const int col_00 = _LEN_CART[lj-1];
const double *g00 = g;
const double *g10 = g + row_00*col_00;
int i, j;
const double *p00, *p10;
double *p01 = out;
for (j = STARTX_IF_L_DEC1(lj); j < _LEN_CART[lj-1]; j++) {
for (i = 0; i < row_00; i++) {
p00 = g00 + (j*row_00+i);
p10 = g10 + (j*row_10+WHEREX_IF_L_INC1(i));
p01[i] = p10[0] + rirj[0] * p00[0];
}
p01 += row_00;
}
for (j = STARTY_IF_L_DEC1(lj); j < _LEN_CART[lj-1]; j++) {
for (i = 0; i < row_00; i++) {
p00 = g00 + (j*row_00+i);
p10 = g10 + (j*row_10+WHEREY_IF_L_INC1(i));
p01[i] = p10[0] + rirj[1] * p00[0];
}
p01 += row_00;
}
j = STARTZ_IF_L_DEC1(lj);
if (j < _LEN_CART[lj-1]) {
for (i = 0; i < row_00; i++) {
p00 = g00 + (j*row_00+i);
p10 = g10 + (j*row_10+WHEREZ_IF_L_INC1(i));
p01[i] = p10[0] + rirj[2] * p00[0];
}
}
}
void GTOreverse_vrr2d_ket_inc1(double *g01, double *g00,
double *rirj, int li, int lj)
{
const int row_10 = _LEN_CART[li+1];
const int row_00 = _LEN_CART[li ];
const int col_00 = _LEN_CART[lj-1];
double *g10 = g00 + row_00*col_00;
double *p00, *p10;
int i, j;
for (j = STARTX_IF_L_DEC1(lj); j < _LEN_CART[lj-1]; j++) {
for (i = 0; i < row_00; i++) {
p00 = g00 + (j*row_00+i);
p10 = g10 + (j*row_10+WHEREX_IF_L_INC1(i));
p10[0] += g01[i];
p00[0] += g01[i] * rirj[0];
}
g01 += row_00;
}
for (j = STARTY_IF_L_DEC1(lj); j < _LEN_CART[lj-1]; j++) {
for (i = 0; i < row_00; i++) {
p00 = g00 + (j*row_00+i);
p10 = g10 + (j*row_10+WHEREY_IF_L_INC1(i));
p10[0] += g01[i];
p00[0] += g01[i] * rirj[1];
}
g01 += row_00;
}
j = STARTZ_IF_L_DEC1(lj);
if (j < _LEN_CART[lj-1]) {
for (i = 0; i < row_00; i++) {
p00 = g00 + (j*row_00+i);
p10 = g10 + (j*row_10+WHEREZ_IF_L_INC1(i));
p10[0] += g01[i];
p00[0] += g01[i] * rirj[2];
}
}
}
|
nbnxn_atomdata.c | /*
* This file is part of the GROMACS molecular simulation package.
*
* Copyright (c) 1991-2000, University of Groningen, The Netherlands.
* Copyright (c) 2001-2012, The GROMACS development team,
* check out http://www.gromacs.org for more information.
* Copyright (c) 2012,2013, by the GROMACS development team, led by
* David van der Spoel, Berk Hess, Erik Lindahl, and including many
* others, as listed in the AUTHORS file in the top-level source
* directory and at http://www.gromacs.org.
*
* GROMACS is free software; you can redistribute it and/or
* modify it under the terms of the GNU Lesser General Public License
* as published by the Free Software Foundation; either version 2.1
* of the License, or (at your option) any later version.
*
* GROMACS is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
* Lesser General Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with GROMACS; if not, see
* http://www.gnu.org/licenses, or write to the Free Software Foundation,
* Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
*
* If you want to redistribute modifications to GROMACS, please
* consider that scientific software is very special. Version
* control is crucial - bugs must be traceable. We will be happy to
* consider code for inclusion in the official distribution, but
* derived work must not be called official GROMACS. Details are found
* in the README & COPYING files - if they are missing, get the
* official version at http://www.gromacs.org.
*
* To help us fund GROMACS development, we humbly ask that you cite
* the research papers on the package. Check out http://www.gromacs.org.
*/
#ifdef HAVE_CONFIG_H
#include <config.h>
#endif
#include <math.h>
#include <string.h>
#include "smalloc.h"
#include "macros.h"
#include "vec.h"
#include "nbnxn_consts.h"
#include "nbnxn_internal.h"
#include "nbnxn_search.h"
#include "gmx_omp_nthreads.h"
/* Default nbnxn allocation routine, allocates NBNXN_MEM_ALIGN byte aligned */
void nbnxn_alloc_aligned(void **ptr, size_t nbytes)
{
*ptr = save_malloc_aligned("ptr", __FILE__, __LINE__, nbytes, 1, NBNXN_MEM_ALIGN);
}
/* Free function for memory allocated with nbnxn_alloc_aligned */
void nbnxn_free_aligned(void *ptr)
{
sfree_aligned(ptr);
}
/* Reallocation wrapper function for nbnxn data structures */
void nbnxn_realloc_void(void **ptr,
int nbytes_copy, int nbytes_new,
nbnxn_alloc_t *ma,
nbnxn_free_t *mf)
{
void *ptr_new;
ma(&ptr_new, nbytes_new);
if (nbytes_new > 0 && ptr_new == NULL)
{
gmx_fatal(FARGS, "Allocation of %d bytes failed", nbytes_new);
}
if (nbytes_copy > 0)
{
if (nbytes_new < nbytes_copy)
{
gmx_incons("In nbnxn_realloc_void: new size less than copy size");
}
memcpy(ptr_new, *ptr, nbytes_copy);
}
if (*ptr != NULL)
{
mf(*ptr);
}
*ptr = ptr_new;
}
/* Reallocate the nbnxn_atomdata_t for a size of n atoms */
void nbnxn_atomdata_realloc(nbnxn_atomdata_t *nbat, int n)
{
int t;
nbnxn_realloc_void((void **)&nbat->type,
nbat->natoms*sizeof(*nbat->type),
n*sizeof(*nbat->type),
nbat->alloc, nbat->free);
nbnxn_realloc_void((void **)&nbat->lj_comb,
nbat->natoms*2*sizeof(*nbat->lj_comb),
n*2*sizeof(*nbat->lj_comb),
nbat->alloc, nbat->free);
if (nbat->XFormat != nbatXYZQ)
{
nbnxn_realloc_void((void **)&nbat->q,
nbat->natoms*sizeof(*nbat->q),
n*sizeof(*nbat->q),
nbat->alloc, nbat->free);
}
if (nbat->nenergrp > 1)
{
nbnxn_realloc_void((void **)&nbat->energrp,
nbat->natoms/nbat->na_c*sizeof(*nbat->energrp),
n/nbat->na_c*sizeof(*nbat->energrp),
nbat->alloc, nbat->free);
}
nbnxn_realloc_void((void **)&nbat->x,
nbat->natoms*nbat->xstride*sizeof(*nbat->x),
n*nbat->xstride*sizeof(*nbat->x),
nbat->alloc, nbat->free);
for (t = 0; t < nbat->nout; t++)
{
/* Allocate one element extra for possible signaling with CUDA */
nbnxn_realloc_void((void **)&nbat->out[t].f,
nbat->natoms*nbat->fstride*sizeof(*nbat->out[t].f),
n*nbat->fstride*sizeof(*nbat->out[t].f),
nbat->alloc, nbat->free);
}
nbat->nalloc = n;
}
/* Initializes an nbnxn_atomdata_output_t data structure */
static void nbnxn_atomdata_output_init(nbnxn_atomdata_output_t *out,
int nb_kernel_type,
int nenergrp, int stride,
nbnxn_alloc_t *ma)
{
int cj_size;
out->f = NULL;
ma((void **)&out->fshift, SHIFTS*DIM*sizeof(*out->fshift));
out->nV = nenergrp*nenergrp;
ma((void **)&out->Vvdw, out->nV*sizeof(*out->Vvdw));
ma((void **)&out->Vc, out->nV*sizeof(*out->Vc ));
if (nb_kernel_type == nbnxnk4xN_SIMD_4xN ||
nb_kernel_type == nbnxnk4xN_SIMD_2xNN)
{
cj_size = nbnxn_kernel_to_cj_size(nb_kernel_type);
out->nVS = nenergrp*nenergrp*stride*(cj_size>>1)*cj_size;
ma((void **)&out->VSvdw, out->nVS*sizeof(*out->VSvdw));
ma((void **)&out->VSc, out->nVS*sizeof(*out->VSc ));
}
else
{
out->nVS = 0;
}
}
static void copy_int_to_nbat_int(const int *a, int na, int na_round,
const int *in, int fill, int *innb)
{
int i, j;
j = 0;
for (i = 0; i < na; i++)
{
innb[j++] = in[a[i]];
}
/* Complete the partially filled last cell with fill */
for (; i < na_round; i++)
{
innb[j++] = fill;
}
}
static void clear_nbat_real(int na, int nbatFormat, real *xnb, int a0)
{
int a, d, j, c;
switch (nbatFormat)
{
case nbatXYZ:
for (a = 0; a < na; a++)
{
for (d = 0; d < DIM; d++)
{
xnb[(a0+a)*STRIDE_XYZ+d] = 0;
}
}
break;
case nbatXYZQ:
for (a = 0; a < na; a++)
{
for (d = 0; d < DIM; d++)
{
xnb[(a0+a)*STRIDE_XYZQ+d] = 0;
}
}
break;
case nbatX4:
j = X4_IND_A(a0);
c = a0 & (PACK_X4-1);
for (a = 0; a < na; a++)
{
xnb[j+XX*PACK_X4] = 0;
xnb[j+YY*PACK_X4] = 0;
xnb[j+ZZ*PACK_X4] = 0;
j++;
c++;
if (c == PACK_X4)
{
j += (DIM-1)*PACK_X4;
c = 0;
}
}
break;
case nbatX8:
j = X8_IND_A(a0);
c = a0 & (PACK_X8-1);
for (a = 0; a < na; a++)
{
xnb[j+XX*PACK_X8] = 0;
xnb[j+YY*PACK_X8] = 0;
xnb[j+ZZ*PACK_X8] = 0;
j++;
c++;
if (c == PACK_X8)
{
j += (DIM-1)*PACK_X8;
c = 0;
}
}
break;
}
}
void copy_rvec_to_nbat_real(const int *a, int na, int na_round,
rvec *x, int nbatFormat, real *xnb, int a0,
int cx, int cy, int cz)
{
int i, j, c;
/* We might need to place filler particles to fill up the cell to na_round.
* The coefficients (LJ and q) for such particles are zero.
* But we might still get NaN as 0*NaN when distances are too small.
* We hope that -107 nm is far away enough from to zero
* to avoid accidental short distances to particles shifted down for pbc.
*/
#define NBAT_FAR_AWAY 107
switch (nbatFormat)
{
case nbatXYZ:
j = a0*STRIDE_XYZ;
for (i = 0; i < na; i++)
{
xnb[j++] = x[a[i]][XX];
xnb[j++] = x[a[i]][YY];
xnb[j++] = x[a[i]][ZZ];
}
/* Complete the partially filled last cell with copies of the last element.
* This simplifies the bounding box calculation and avoid
* numerical issues with atoms that are coincidentally close.
*/
for (; i < na_round; i++)
{
xnb[j++] = -NBAT_FAR_AWAY*(1 + cx);
xnb[j++] = -NBAT_FAR_AWAY*(1 + cy);
xnb[j++] = -NBAT_FAR_AWAY*(1 + cz + i);
}
break;
case nbatXYZQ:
j = a0*STRIDE_XYZQ;
for (i = 0; i < na; i++)
{
xnb[j++] = x[a[i]][XX];
xnb[j++] = x[a[i]][YY];
xnb[j++] = x[a[i]][ZZ];
j++;
}
/* Complete the partially filled last cell with particles far apart */
for (; i < na_round; i++)
{
xnb[j++] = -NBAT_FAR_AWAY*(1 + cx);
xnb[j++] = -NBAT_FAR_AWAY*(1 + cy);
xnb[j++] = -NBAT_FAR_AWAY*(1 + cz + i);
j++;
}
break;
case nbatX4:
j = X4_IND_A(a0);
c = a0 & (PACK_X4-1);
for (i = 0; i < na; i++)
{
xnb[j+XX*PACK_X4] = x[a[i]][XX];
xnb[j+YY*PACK_X4] = x[a[i]][YY];
xnb[j+ZZ*PACK_X4] = x[a[i]][ZZ];
j++;
c++;
if (c == PACK_X4)
{
j += (DIM-1)*PACK_X4;
c = 0;
}
}
/* Complete the partially filled last cell with particles far apart */
for (; i < na_round; i++)
{
xnb[j+XX*PACK_X4] = -NBAT_FAR_AWAY*(1 + cx);
xnb[j+YY*PACK_X4] = -NBAT_FAR_AWAY*(1 + cy);
xnb[j+ZZ*PACK_X4] = -NBAT_FAR_AWAY*(1 + cz + i);
j++;
c++;
if (c == PACK_X4)
{
j += (DIM-1)*PACK_X4;
c = 0;
}
}
break;
case nbatX8:
j = X8_IND_A(a0);
c = a0 & (PACK_X8 - 1);
for (i = 0; i < na; i++)
{
xnb[j+XX*PACK_X8] = x[a[i]][XX];
xnb[j+YY*PACK_X8] = x[a[i]][YY];
xnb[j+ZZ*PACK_X8] = x[a[i]][ZZ];
j++;
c++;
if (c == PACK_X8)
{
j += (DIM-1)*PACK_X8;
c = 0;
}
}
/* Complete the partially filled last cell with particles far apart */
for (; i < na_round; i++)
{
xnb[j+XX*PACK_X8] = -NBAT_FAR_AWAY*(1 + cx);
xnb[j+YY*PACK_X8] = -NBAT_FAR_AWAY*(1 + cy);
xnb[j+ZZ*PACK_X8] = -NBAT_FAR_AWAY*(1 + cz + i);
j++;
c++;
if (c == PACK_X8)
{
j += (DIM-1)*PACK_X8;
c = 0;
}
}
break;
default:
gmx_incons("Unsupported nbnxn_atomdata_t format");
}
}
/* Determines the combination rule (or none) to be used, stores it,
* and sets the LJ parameters required with the rule.
*/
static void set_combination_rule_data(nbnxn_atomdata_t *nbat)
{
int nt, i, j;
real c6, c12;
nt = nbat->ntype;
switch (nbat->comb_rule)
{
case ljcrGEOM:
nbat->comb_rule = ljcrGEOM;
for (i = 0; i < nt; i++)
{
/* Copy the diagonal from the nbfp matrix */
nbat->nbfp_comb[i*2 ] = sqrt(nbat->nbfp[(i*nt+i)*2 ]);
nbat->nbfp_comb[i*2+1] = sqrt(nbat->nbfp[(i*nt+i)*2+1]);
}
break;
case ljcrLB:
for (i = 0; i < nt; i++)
{
/* Get 6*C6 and 12*C12 from the diagonal of the nbfp matrix */
c6 = nbat->nbfp[(i*nt+i)*2 ];
c12 = nbat->nbfp[(i*nt+i)*2+1];
if (c6 > 0 && c12 > 0)
{
/* We store 0.5*2^1/6*sigma and sqrt(4*3*eps),
* so we get 6*C6 and 12*C12 after combining.
*/
nbat->nbfp_comb[i*2 ] = 0.5*pow(c12/c6, 1.0/6.0);
nbat->nbfp_comb[i*2+1] = sqrt(c6*c6/c12);
}
else
{
nbat->nbfp_comb[i*2 ] = 0;
nbat->nbfp_comb[i*2+1] = 0;
}
}
break;
case ljcrNONE:
/* nbfp_s4 stores two parameters using a stride of 4,
* because this would suit x86 SIMD single-precision
* quad-load intrinsics. There's a slight inefficiency in
* allocating and initializing nbfp_s4 when it might not
* be used, but introducing the conditional code is not
* really worth it. */
nbat->alloc((void **)&nbat->nbfp_s4, nt*nt*4*sizeof(*nbat->nbfp_s4));
for (i = 0; i < nt; i++)
{
for (j = 0; j < nt; j++)
{
nbat->nbfp_s4[(i*nt+j)*4+0] = nbat->nbfp[(i*nt+j)*2+0];
nbat->nbfp_s4[(i*nt+j)*4+1] = nbat->nbfp[(i*nt+j)*2+1];
nbat->nbfp_s4[(i*nt+j)*4+2] = 0;
nbat->nbfp_s4[(i*nt+j)*4+3] = 0;
}
}
break;
default:
gmx_incons("Unknown combination rule");
break;
}
}
#ifdef GMX_NBNXN_SIMD
static void
nbnxn_atomdata_init_simple_exclusion_masks(nbnxn_atomdata_t *nbat)
{
int i, j;
const int simd_width = GMX_SIMD_WIDTH_HERE;
int simd_excl_size;
/* Set the diagonal cluster pair exclusion mask setup data.
* In the kernel we check 0 < j - i to generate the masks.
* Here we store j - i for generating the mask for the first i,
* we substract 0.5 to avoid rounding issues.
* In the kernel we can subtract 1 to generate the subsequent mask.
*/
int simd_4xn_diag_size;
const real simdFalse = -1, simdTrue = 1;
real *simd_interaction_array;
simd_4xn_diag_size = max(NBNXN_CPU_CLUSTER_I_SIZE, simd_width);
snew_aligned(nbat->simd_4xn_diagonal_j_minus_i, simd_4xn_diag_size, NBNXN_MEM_ALIGN);
for (j = 0; j < simd_4xn_diag_size; j++)
{
nbat->simd_4xn_diagonal_j_minus_i[j] = j - 0.5;
}
snew_aligned(nbat->simd_2xnn_diagonal_j_minus_i, simd_width, NBNXN_MEM_ALIGN);
for (j = 0; j < simd_width/2; j++)
{
/* The j-cluster size is half the SIMD width */
nbat->simd_2xnn_diagonal_j_minus_i[j] = j - 0.5;
/* The next half of the SIMD width is for i + 1 */
nbat->simd_2xnn_diagonal_j_minus_i[simd_width/2+j] = j - 1 - 0.5;
}
/* We use up to 32 bits for exclusion masking.
* The same masks are used for the 4xN and 2x(N+N) kernels.
* The masks are read either into epi32 SIMD registers or into
* real SIMD registers (together with a cast).
* In single precision this means the real and epi32 SIMD registers
* are of equal size.
* In double precision the epi32 registers can be smaller than
* the real registers, so depending on the architecture, we might
* need to use two, identical, 32-bit masks per real.
*/
simd_excl_size = NBNXN_CPU_CLUSTER_I_SIZE*simd_width;
snew_aligned(nbat->simd_exclusion_filter1, simd_excl_size, NBNXN_MEM_ALIGN);
snew_aligned(nbat->simd_exclusion_filter2, simd_excl_size*2, NBNXN_MEM_ALIGN);
for (j = 0; j < simd_excl_size; j++)
{
/* Set the consecutive bits for masking pair exclusions */
nbat->simd_exclusion_filter1[j] = (1U << j);
nbat->simd_exclusion_filter2[j*2 + 0] = (1U << j);
nbat->simd_exclusion_filter2[j*2 + 1] = (1U << j);
}
#if (defined GMX_CPU_ACCELERATION_IBM_QPX)
/* The QPX kernels shouldn't do the bit masking that is done on
* x86, because the SIMD units lack bit-wise operations. Instead,
* we generate a vector of all 2^4 possible ways an i atom
* interacts with its 4 j atoms. Each array entry contains
* simd_width signed ints that are read in a single SIMD
* load. These ints must contain values that will be interpreted
* as true and false when loaded in the SIMD floating-point
* registers, ie. any positive or any negative value,
* respectively. Each array entry encodes how this i atom will
* interact with the 4 j atoms. Matching code exists in
* set_ci_top_excls() to generate indices into this array. Those
* indices are used in the kernels. */
simd_excl_size = NBNXN_CPU_CLUSTER_I_SIZE*NBNXN_CPU_CLUSTER_I_SIZE;
const int qpx_simd_width = GMX_SIMD_WIDTH_HERE;
snew_aligned(simd_interaction_array, simd_excl_size * qpx_simd_width, NBNXN_MEM_ALIGN);
for (j = 0; j < simd_excl_size; j++)
{
int index = j * qpx_simd_width;
for (i = 0; i < qpx_simd_width; i++)
{
simd_interaction_array[index + i] = (j & (1 << i)) ? simdTrue : simdFalse;
}
}
nbat->simd_interaction_array = simd_interaction_array;
#endif
}
#endif
/* Initializes an nbnxn_atomdata_t data structure */
void nbnxn_atomdata_init(FILE *fp,
nbnxn_atomdata_t *nbat,
int nb_kernel_type,
int ntype, const real *nbfp,
int n_energygroups,
int nout,
nbnxn_alloc_t *alloc,
nbnxn_free_t *free)
{
int i, j;
real c6, c12, tol;
char *ptr;
gmx_bool simple, bCombGeom, bCombLB;
if (alloc == NULL)
{
nbat->alloc = nbnxn_alloc_aligned;
}
else
{
nbat->alloc = alloc;
}
if (free == NULL)
{
nbat->free = nbnxn_free_aligned;
}
else
{
nbat->free = free;
}
if (debug)
{
fprintf(debug, "There are %d atom types in the system, adding one for nbnxn_atomdata_t\n", ntype);
}
nbat->ntype = ntype + 1;
nbat->alloc((void **)&nbat->nbfp,
nbat->ntype*nbat->ntype*2*sizeof(*nbat->nbfp));
nbat->alloc((void **)&nbat->nbfp_comb, nbat->ntype*2*sizeof(*nbat->nbfp_comb));
/* A tolerance of 1e-5 seems reasonable for (possibly hand-typed)
* force-field floating point parameters.
*/
tol = 1e-5;
ptr = getenv("GMX_LJCOMB_TOL");
if (ptr != NULL)
{
double dbl;
sscanf(ptr, "%lf", &dbl);
tol = dbl;
}
bCombGeom = TRUE;
bCombLB = TRUE;
/* Temporarily fill nbat->nbfp_comb with sigma and epsilon
* to check for the LB rule.
*/
for (i = 0; i < ntype; i++)
{
c6 = nbfp[(i*ntype+i)*2 ]/6.0;
c12 = nbfp[(i*ntype+i)*2+1]/12.0;
if (c6 > 0 && c12 > 0)
{
nbat->nbfp_comb[i*2 ] = pow(c12/c6, 1.0/6.0);
nbat->nbfp_comb[i*2+1] = 0.25*c6*c6/c12;
}
else if (c6 == 0 && c12 == 0)
{
nbat->nbfp_comb[i*2 ] = 0;
nbat->nbfp_comb[i*2+1] = 0;
}
else
{
/* Can not use LB rule with only dispersion or repulsion */
bCombLB = FALSE;
}
}
for (i = 0; i < nbat->ntype; i++)
{
for (j = 0; j < nbat->ntype; j++)
{
if (i < ntype && j < ntype)
{
/* fr->nbfp has been updated, so that array too now stores c6/c12 including
* the 6.0/12.0 prefactors to save 2 flops in the most common case (force-only).
*/
c6 = nbfp[(i*ntype+j)*2 ];
c12 = nbfp[(i*ntype+j)*2+1];
nbat->nbfp[(i*nbat->ntype+j)*2 ] = c6;
nbat->nbfp[(i*nbat->ntype+j)*2+1] = c12;
/* Compare 6*C6 and 12*C12 for geometric cobination rule */
bCombGeom = bCombGeom &&
gmx_within_tol(c6*c6, nbfp[(i*ntype+i)*2 ]*nbfp[(j*ntype+j)*2 ], tol) &&
gmx_within_tol(c12*c12, nbfp[(i*ntype+i)*2+1]*nbfp[(j*ntype+j)*2+1], tol);
/* Compare C6 and C12 for Lorentz-Berthelot combination rule */
c6 /= 6.0;
c12 /= 12.0;
bCombLB = bCombLB &&
((c6 == 0 && c12 == 0 &&
(nbat->nbfp_comb[i*2+1] == 0 || nbat->nbfp_comb[j*2+1] == 0)) ||
(c6 > 0 && c12 > 0 &&
gmx_within_tol(pow(c12/c6, 1.0/6.0), 0.5*(nbat->nbfp_comb[i*2]+nbat->nbfp_comb[j*2]), tol) &&
gmx_within_tol(0.25*c6*c6/c12, sqrt(nbat->nbfp_comb[i*2+1]*nbat->nbfp_comb[j*2+1]), tol)));
}
else
{
/* Add zero parameters for the additional dummy atom type */
nbat->nbfp[(i*nbat->ntype+j)*2 ] = 0;
nbat->nbfp[(i*nbat->ntype+j)*2+1] = 0;
}
}
}
if (debug)
{
fprintf(debug, "Combination rules: geometric %d Lorentz-Berthelot %d\n",
bCombGeom, bCombLB);
}
simple = nbnxn_kernel_pairlist_simple(nb_kernel_type);
if (simple)
{
/* We prefer the geometic combination rule,
* as that gives a slightly faster kernel than the LB rule.
*/
if (bCombGeom)
{
nbat->comb_rule = ljcrGEOM;
}
else if (bCombLB)
{
nbat->comb_rule = ljcrLB;
}
else
{
nbat->comb_rule = ljcrNONE;
nbat->free(nbat->nbfp_comb);
}
if (fp)
{
if (nbat->comb_rule == ljcrNONE)
{
fprintf(fp, "Using full Lennard-Jones parameter combination matrix\n\n");
}
else
{
fprintf(fp, "Using %s Lennard-Jones combination rule\n\n",
nbat->comb_rule == ljcrGEOM ? "geometric" : "Lorentz-Berthelot");
}
}
set_combination_rule_data(nbat);
}
else
{
nbat->comb_rule = ljcrNONE;
nbat->free(nbat->nbfp_comb);
}
nbat->natoms = 0;
nbat->type = NULL;
nbat->lj_comb = NULL;
if (simple)
{
int pack_x;
switch (nb_kernel_type)
{
case nbnxnk4xN_SIMD_4xN:
case nbnxnk4xN_SIMD_2xNN:
pack_x = max(NBNXN_CPU_CLUSTER_I_SIZE,
nbnxn_kernel_to_cj_size(nb_kernel_type));
switch (pack_x)
{
case 4:
nbat->XFormat = nbatX4;
break;
case 8:
nbat->XFormat = nbatX8;
break;
default:
gmx_incons("Unsupported packing width");
}
break;
default:
nbat->XFormat = nbatXYZ;
break;
}
nbat->FFormat = nbat->XFormat;
}
else
{
nbat->XFormat = nbatXYZQ;
nbat->FFormat = nbatXYZ;
}
nbat->q = NULL;
nbat->nenergrp = n_energygroups;
if (!simple)
{
/* Energy groups not supported yet for super-sub lists */
if (n_energygroups > 1 && fp != NULL)
{
fprintf(fp, "\nNOTE: With GPUs, reporting energy group contributions is not supported\n\n");
}
nbat->nenergrp = 1;
}
/* Temporary storage goes as #grp^3*simd_width^2/2, so limit to 64 */
if (nbat->nenergrp > 64)
{
gmx_fatal(FARGS, "With NxN kernels not more than 64 energy groups are supported\n");
}
nbat->neg_2log = 1;
while (nbat->nenergrp > (1<<nbat->neg_2log))
{
nbat->neg_2log++;
}
nbat->energrp = NULL;
nbat->alloc((void **)&nbat->shift_vec, SHIFTS*sizeof(*nbat->shift_vec));
nbat->xstride = (nbat->XFormat == nbatXYZQ ? STRIDE_XYZQ : DIM);
nbat->fstride = (nbat->FFormat == nbatXYZQ ? STRIDE_XYZQ : DIM);
nbat->x = NULL;
#ifdef GMX_NBNXN_SIMD
if (simple)
{
nbnxn_atomdata_init_simple_exclusion_masks(nbat);
}
#endif
/* Initialize the output data structures */
nbat->nout = nout;
snew(nbat->out, nbat->nout);
nbat->nalloc = 0;
for (i = 0; i < nbat->nout; i++)
{
nbnxn_atomdata_output_init(&nbat->out[i],
nb_kernel_type,
nbat->nenergrp, 1<<nbat->neg_2log,
nbat->alloc);
}
nbat->buffer_flags.flag = NULL;
nbat->buffer_flags.flag_nalloc = 0;
}
static void copy_lj_to_nbat_lj_comb_x4(const real *ljparam_type,
const int *type, int na,
real *ljparam_at)
{
int is, k, i;
/* The LJ params follow the combination rule:
* copy the params for the type array to the atom array.
*/
for (is = 0; is < na; is += PACK_X4)
{
for (k = 0; k < PACK_X4; k++)
{
i = is + k;
ljparam_at[is*2 +k] = ljparam_type[type[i]*2 ];
ljparam_at[is*2+PACK_X4+k] = ljparam_type[type[i]*2+1];
}
}
}
static void copy_lj_to_nbat_lj_comb_x8(const real *ljparam_type,
const int *type, int na,
real *ljparam_at)
{
int is, k, i;
/* The LJ params follow the combination rule:
* copy the params for the type array to the atom array.
*/
for (is = 0; is < na; is += PACK_X8)
{
for (k = 0; k < PACK_X8; k++)
{
i = is + k;
ljparam_at[is*2 +k] = ljparam_type[type[i]*2 ];
ljparam_at[is*2+PACK_X8+k] = ljparam_type[type[i]*2+1];
}
}
}
/* Sets the atom type and LJ data in nbnxn_atomdata_t */
static void nbnxn_atomdata_set_atomtypes(nbnxn_atomdata_t *nbat,
int ngrid,
const nbnxn_search_t nbs,
const int *type)
{
int g, i, ncz, ash;
const nbnxn_grid_t *grid;
for (g = 0; g < ngrid; g++)
{
grid = &nbs->grid[g];
/* Loop over all columns and copy and fill */
for (i = 0; i < grid->ncx*grid->ncy; i++)
{
ncz = grid->cxy_ind[i+1] - grid->cxy_ind[i];
ash = (grid->cell0 + grid->cxy_ind[i])*grid->na_sc;
copy_int_to_nbat_int(nbs->a+ash, grid->cxy_na[i], ncz*grid->na_sc,
type, nbat->ntype-1, nbat->type+ash);
if (nbat->comb_rule != ljcrNONE)
{
if (nbat->XFormat == nbatX4)
{
copy_lj_to_nbat_lj_comb_x4(nbat->nbfp_comb,
nbat->type+ash, ncz*grid->na_sc,
nbat->lj_comb+ash*2);
}
else if (nbat->XFormat == nbatX8)
{
copy_lj_to_nbat_lj_comb_x8(nbat->nbfp_comb,
nbat->type+ash, ncz*grid->na_sc,
nbat->lj_comb+ash*2);
}
}
}
}
}
/* Sets the charges in nbnxn_atomdata_t *nbat */
static void nbnxn_atomdata_set_charges(nbnxn_atomdata_t *nbat,
int ngrid,
const nbnxn_search_t nbs,
const real *charge)
{
int g, cxy, ncz, ash, na, na_round, i, j;
real *q;
const nbnxn_grid_t *grid;
for (g = 0; g < ngrid; g++)
{
grid = &nbs->grid[g];
/* Loop over all columns and copy and fill */
for (cxy = 0; cxy < grid->ncx*grid->ncy; cxy++)
{
ash = (grid->cell0 + grid->cxy_ind[cxy])*grid->na_sc;
na = grid->cxy_na[cxy];
na_round = (grid->cxy_ind[cxy+1] - grid->cxy_ind[cxy])*grid->na_sc;
if (nbat->XFormat == nbatXYZQ)
{
q = nbat->x + ash*STRIDE_XYZQ + ZZ + 1;
for (i = 0; i < na; i++)
{
*q = charge[nbs->a[ash+i]];
q += STRIDE_XYZQ;
}
/* Complete the partially filled last cell with zeros */
for (; i < na_round; i++)
{
*q = 0;
q += STRIDE_XYZQ;
}
}
else
{
q = nbat->q + ash;
for (i = 0; i < na; i++)
{
*q = charge[nbs->a[ash+i]];
q++;
}
/* Complete the partially filled last cell with zeros */
for (; i < na_round; i++)
{
*q = 0;
q++;
}
}
}
}
}
/* Copies the energy group indices to a reordered and packed array */
static void copy_egp_to_nbat_egps(const int *a, int na, int na_round,
int na_c, int bit_shift,
const int *in, int *innb)
{
int i, j, sa, at;
int comb;
j = 0;
for (i = 0; i < na; i += na_c)
{
/* Store na_c energy group numbers into one int */
comb = 0;
for (sa = 0; sa < na_c; sa++)
{
at = a[i+sa];
if (at >= 0)
{
comb |= (GET_CGINFO_GID(in[at]) << (sa*bit_shift));
}
}
innb[j++] = comb;
}
/* Complete the partially filled last cell with fill */
for (; i < na_round; i += na_c)
{
innb[j++] = 0;
}
}
/* Set the energy group indices for atoms in nbnxn_atomdata_t */
static void nbnxn_atomdata_set_energygroups(nbnxn_atomdata_t *nbat,
int ngrid,
const nbnxn_search_t nbs,
const int *atinfo)
{
int g, i, ncz, ash;
const nbnxn_grid_t *grid;
for (g = 0; g < ngrid; g++)
{
grid = &nbs->grid[g];
/* Loop over all columns and copy and fill */
for (i = 0; i < grid->ncx*grid->ncy; i++)
{
ncz = grid->cxy_ind[i+1] - grid->cxy_ind[i];
ash = (grid->cell0 + grid->cxy_ind[i])*grid->na_sc;
copy_egp_to_nbat_egps(nbs->a+ash, grid->cxy_na[i], ncz*grid->na_sc,
nbat->na_c, nbat->neg_2log,
atinfo, nbat->energrp+(ash>>grid->na_c_2log));
}
}
}
/* Sets all required atom parameter data in nbnxn_atomdata_t */
void nbnxn_atomdata_set(nbnxn_atomdata_t *nbat,
int locality,
const nbnxn_search_t nbs,
const t_mdatoms *mdatoms,
const int *atinfo)
{
int ngrid;
if (locality == eatLocal)
{
ngrid = 1;
}
else
{
ngrid = nbs->ngrid;
}
nbnxn_atomdata_set_atomtypes(nbat, ngrid, nbs, mdatoms->typeA);
nbnxn_atomdata_set_charges(nbat, ngrid, nbs, mdatoms->chargeA);
if (nbat->nenergrp > 1)
{
nbnxn_atomdata_set_energygroups(nbat, ngrid, nbs, atinfo);
}
}
/* Copies the shift vector array to nbnxn_atomdata_t */
void nbnxn_atomdata_copy_shiftvec(gmx_bool bDynamicBox,
rvec *shift_vec,
nbnxn_atomdata_t *nbat)
{
int i;
nbat->bDynamicBox = bDynamicBox;
for (i = 0; i < SHIFTS; i++)
{
copy_rvec(shift_vec[i], nbat->shift_vec[i]);
}
}
/* Copies (and reorders) the coordinates to nbnxn_atomdata_t */
void nbnxn_atomdata_copy_x_to_nbat_x(const nbnxn_search_t nbs,
int locality,
gmx_bool FillLocal,
rvec *x,
nbnxn_atomdata_t *nbat)
{
int g0 = 0, g1 = 0;
int nth, th;
switch (locality)
{
case eatAll:
g0 = 0;
g1 = nbs->ngrid;
break;
case eatLocal:
g0 = 0;
g1 = 1;
break;
case eatNonlocal:
g0 = 1;
g1 = nbs->ngrid;
break;
}
if (FillLocal)
{
nbat->natoms_local = nbs->grid[0].nc*nbs->grid[0].na_sc;
}
nth = gmx_omp_nthreads_get(emntPairsearch);
#pragma omp parallel for num_threads(nth) schedule(static)
for (th = 0; th < nth; th++)
{
int g;
for (g = g0; g < g1; g++)
{
const nbnxn_grid_t *grid;
int cxy0, cxy1, cxy;
grid = &nbs->grid[g];
cxy0 = (grid->ncx*grid->ncy* th +nth-1)/nth;
cxy1 = (grid->ncx*grid->ncy*(th+1)+nth-1)/nth;
for (cxy = cxy0; cxy < cxy1; cxy++)
{
int na, ash, na_fill;
na = grid->cxy_na[cxy];
ash = (grid->cell0 + grid->cxy_ind[cxy])*grid->na_sc;
if (g == 0 && FillLocal)
{
na_fill =
(grid->cxy_ind[cxy+1] - grid->cxy_ind[cxy])*grid->na_sc;
}
else
{
/* We fill only the real particle locations.
* We assume the filling entries at the end have been
* properly set before during ns.
*/
na_fill = na;
}
copy_rvec_to_nbat_real(nbs->a+ash, na, na_fill, x,
nbat->XFormat, nbat->x, ash,
0, 0, 0);
}
}
}
}
static void
nbnxn_atomdata_clear_reals(real * gmx_restrict dest,
int i0, int i1)
{
int i;
for (i = i0; i < i1; i++)
{
dest[i] = 0;
}
}
static void
nbnxn_atomdata_reduce_reals(real * gmx_restrict dest,
gmx_bool bDestSet,
real ** gmx_restrict src,
int nsrc,
int i0, int i1)
{
int i, s;
if (bDestSet)
{
/* The destination buffer contains data, add to it */
for (i = i0; i < i1; i++)
{
for (s = 0; s < nsrc; s++)
{
dest[i] += src[s][i];
}
}
}
else
{
/* The destination buffer is unitialized, set it first */
for (i = i0; i < i1; i++)
{
dest[i] = src[0][i];
for (s = 1; s < nsrc; s++)
{
dest[i] += src[s][i];
}
}
}
}
static void
nbnxn_atomdata_reduce_reals_simd(real * gmx_restrict dest,
gmx_bool bDestSet,
real ** gmx_restrict src,
int nsrc,
int i0, int i1)
{
#ifdef GMX_NBNXN_SIMD
/* The SIMD width here is actually independent of that in the kernels,
* but we use the same width for simplicity (usually optimal anyhow).
*/
int i, s;
gmx_mm_pr dest_SSE, src_SSE;
if (bDestSet)
{
for (i = i0; i < i1; i += GMX_SIMD_WIDTH_HERE)
{
dest_SSE = gmx_load_pr(dest+i);
for (s = 0; s < nsrc; s++)
{
src_SSE = gmx_load_pr(src[s]+i);
dest_SSE = gmx_add_pr(dest_SSE, src_SSE);
}
gmx_store_pr(dest+i, dest_SSE);
}
}
else
{
for (i = i0; i < i1; i += GMX_SIMD_WIDTH_HERE)
{
dest_SSE = gmx_load_pr(src[0]+i);
for (s = 1; s < nsrc; s++)
{
src_SSE = gmx_load_pr(src[s]+i);
dest_SSE = gmx_add_pr(dest_SSE, src_SSE);
}
gmx_store_pr(dest+i, dest_SSE);
}
}
#endif
}
/* Add part of the force array(s) from nbnxn_atomdata_t to f */
static void
nbnxn_atomdata_add_nbat_f_to_f_part(const nbnxn_search_t nbs,
const nbnxn_atomdata_t *nbat,
nbnxn_atomdata_output_t *out,
int nfa,
int a0, int a1,
rvec *f)
{
int a, i, fa;
const int *cell;
const real *fnb;
cell = nbs->cell;
/* Loop over all columns and copy and fill */
switch (nbat->FFormat)
{
case nbatXYZ:
case nbatXYZQ:
if (nfa == 1)
{
fnb = out[0].f;
for (a = a0; a < a1; a++)
{
i = cell[a]*nbat->fstride;
f[a][XX] += fnb[i];
f[a][YY] += fnb[i+1];
f[a][ZZ] += fnb[i+2];
}
}
else
{
for (a = a0; a < a1; a++)
{
i = cell[a]*nbat->fstride;
for (fa = 0; fa < nfa; fa++)
{
f[a][XX] += out[fa].f[i];
f[a][YY] += out[fa].f[i+1];
f[a][ZZ] += out[fa].f[i+2];
}
}
}
break;
case nbatX4:
if (nfa == 1)
{
fnb = out[0].f;
for (a = a0; a < a1; a++)
{
i = X4_IND_A(cell[a]);
f[a][XX] += fnb[i+XX*PACK_X4];
f[a][YY] += fnb[i+YY*PACK_X4];
f[a][ZZ] += fnb[i+ZZ*PACK_X4];
}
}
else
{
for (a = a0; a < a1; a++)
{
i = X4_IND_A(cell[a]);
for (fa = 0; fa < nfa; fa++)
{
f[a][XX] += out[fa].f[i+XX*PACK_X4];
f[a][YY] += out[fa].f[i+YY*PACK_X4];
f[a][ZZ] += out[fa].f[i+ZZ*PACK_X4];
}
}
}
break;
case nbatX8:
if (nfa == 1)
{
fnb = out[0].f;
for (a = a0; a < a1; a++)
{
i = X8_IND_A(cell[a]);
f[a][XX] += fnb[i+XX*PACK_X8];
f[a][YY] += fnb[i+YY*PACK_X8];
f[a][ZZ] += fnb[i+ZZ*PACK_X8];
}
}
else
{
for (a = a0; a < a1; a++)
{
i = X8_IND_A(cell[a]);
for (fa = 0; fa < nfa; fa++)
{
f[a][XX] += out[fa].f[i+XX*PACK_X8];
f[a][YY] += out[fa].f[i+YY*PACK_X8];
f[a][ZZ] += out[fa].f[i+ZZ*PACK_X8];
}
}
}
break;
default:
gmx_incons("Unsupported nbnxn_atomdata_t format");
}
}
/* Add the force array(s) from nbnxn_atomdata_t to f */
void nbnxn_atomdata_add_nbat_f_to_f(const nbnxn_search_t nbs,
int locality,
const nbnxn_atomdata_t *nbat,
rvec *f)
{
int a0 = 0, na = 0;
int nth, th;
nbs_cycle_start(&nbs->cc[enbsCCreducef]);
switch (locality)
{
case eatAll:
a0 = 0;
na = nbs->natoms_nonlocal;
break;
case eatLocal:
a0 = 0;
na = nbs->natoms_local;
break;
case eatNonlocal:
a0 = nbs->natoms_local;
na = nbs->natoms_nonlocal - nbs->natoms_local;
break;
}
nth = gmx_omp_nthreads_get(emntNonbonded);
if (nbat->nout > 1)
{
if (locality != eatAll)
{
gmx_incons("add_f_to_f called with nout>1 and locality!=eatAll");
}
/* Reduce the force thread output buffers into buffer 0, before adding
* them to the, differently ordered, "real" force buffer.
*/
#pragma omp parallel for num_threads(nth) schedule(static)
for (th = 0; th < nth; th++)
{
const nbnxn_buffer_flags_t *flags;
int b0, b1, b;
int i0, i1;
int nfptr;
real *fptr[NBNXN_BUFFERFLAG_MAX_THREADS];
int out;
flags = &nbat->buffer_flags;
/* Calculate the cell-block range for our thread */
b0 = (flags->nflag* th )/nth;
b1 = (flags->nflag*(th+1))/nth;
for (b = b0; b < b1; b++)
{
i0 = b *NBNXN_BUFFERFLAG_SIZE*nbat->fstride;
i1 = (b+1)*NBNXN_BUFFERFLAG_SIZE*nbat->fstride;
nfptr = 0;
for (out = 1; out < nbat->nout; out++)
{
if (flags->flag[b] & (1U<<out))
{
fptr[nfptr++] = nbat->out[out].f;
}
}
if (nfptr > 0)
{
#ifdef GMX_NBNXN_SIMD
nbnxn_atomdata_reduce_reals_simd
#else
nbnxn_atomdata_reduce_reals
#endif
(nbat->out[0].f,
flags->flag[b] & (1U<<0),
fptr, nfptr,
i0, i1);
}
else if (!(flags->flag[b] & (1U<<0)))
{
nbnxn_atomdata_clear_reals(nbat->out[0].f,
i0, i1);
}
}
}
}
#pragma omp parallel for num_threads(nth) schedule(static)
for (th = 0; th < nth; th++)
{
nbnxn_atomdata_add_nbat_f_to_f_part(nbs, nbat,
nbat->out,
1,
a0+((th+0)*na)/nth,
a0+((th+1)*na)/nth,
f);
}
nbs_cycle_stop(&nbs->cc[enbsCCreducef]);
}
/* Adds the shift forces from nbnxn_atomdata_t to fshift */
void nbnxn_atomdata_add_nbat_fshift_to_fshift(const nbnxn_atomdata_t *nbat,
rvec *fshift)
{
const nbnxn_atomdata_output_t *out;
int th;
int s;
rvec sum;
out = nbat->out;
for (s = 0; s < SHIFTS; s++)
{
clear_rvec(sum);
for (th = 0; th < nbat->nout; th++)
{
sum[XX] += out[th].fshift[s*DIM+XX];
sum[YY] += out[th].fshift[s*DIM+YY];
sum[ZZ] += out[th].fshift[s*DIM+ZZ];
}
rvec_inc(fshift[s], sum);
}
}
|
ntwprp.c | /**
* @brief File containing the definitions of the functions declared at ntwprp.h
*
* @file ntwprp.c
* @author Nikolaos Katomeris, 8551, ngkatomer@auth.gr
* @date 30-09-2018
*/
#include "../include/ntwprp.h"
#include "../include/ntw_math.h"
#include "../include/ntw_mathp.h"
#include "../include/ntw_debug.h"
#include <math.h>
double* NTWPR_colored_pagerank(ntw_crs webGraph[static 1], const double c, const double e, const int32_t it_specific, const ntw_vector* const colors, FILE* stream)
{
struct timespec start, finish;
// For more readable code wgSize <- webGraph->node_num
const uint32_t wgSize = webGraph->node_num;
// DEBUG: NTWM_CRS_printFullMatrix(stdout, webGraph);
clock_gettime(CLOCK_MONOTONIC, &start);
// Make the matrix a probability matrix.
NTW_CRSP_stochasticizeCols(webGraph);
// DEBUG: NTWM_CRS_printFullMatrix(stdout, webGraph);
clock_gettime(CLOCK_MONOTONIC, &finish);
NTW_DEBUG_printElapsedTime(stream, start, finish, "Make graph stochastic time", '\n');
// Multiply with the teleportation coefficient.
NTW_CRS_cmult(webGraph, -(1 - c));
// DEBUG: NTWM_CRS_printFullMatrix(stdout, webGraph);
// Create the initial pagerank vector (unified) and the b vector.
double* pagerank = NTWM_newUniVectorD(wgSize, 1.0 / wgSize);
double* prPagerank = NTWM_newUniVectorD(wgSize, 1.0 / wgSize);
// Create the b vector.
double* b = NTWM_newUniVectorD(wgSize, 1.0 / wgSize);
// DEBUG: NTWM_printDV(stdout, wgSize, b, 4);
// Start the Gauss-Sneidel Algorithm.
double delta = 1.0;
unsigned max_iterations = 150, curr_iteration = 1;
while ((!it_specific && delta > e && curr_iteration <= max_iterations) || (it_specific && curr_iteration <= it_specific))
{
clock_gettime(CLOCK_MONOTONIC, &start);
NTWPR_GS_parallel_iter(webGraph, pagerank, b, colors);
NTWMP_subDV(wgSize,prPagerank,pagerank);
delta = NTWMP_sqMagnDV(wgSize, prPagerank);
NTWMP_assignDV(wgSize, prPagerank, pagerank);
curr_iteration++;
clock_gettime(CLOCK_MONOTONIC, &finish);
NTW_DEBUG_printElapsedTime(stream, start, finish, "Iteration", '\t');
fprintf(stream, "Convergence's delta: %0.2e\n", delta);
}
fprintf(stdout, "After #%u iterations:\tDelta = %0.2e\n", curr_iteration - 1, delta);
NTWMP_normalizeSumDV(wgSize, pagerank);
// Clear allocated vars except from pagerank of course.
free(b);
free(prPagerank);
return pagerank;
}
void NTWPR_GS_parallel_iter(const ntw_crs matrix[static 1], double x_vec[static 1], const double b_vec[static 1], const ntw_vector* const colors)
{
uint32_t first_group_node = 0;
uint32_t next = 0;
for (uint32_t color = 0; color < colors->length; color++)
{
const uint32_t groupSize = ((ntw_vector*) colors->data[color])->length;
next = first_group_node + groupSize;
#pragma omp parallel for if (groupSize > 50)
for (uint32_t i = first_group_node; i < next; i++)
{
double den = 1.0;
double num = b_vec[i];
for (uint32_t j = matrix->row_ptr[i]; j < matrix->row_ptr[i+1]; j++)
{
if (matrix->col_ind[j] == i)
{
den += matrix->val[j];
}
else
{
num -= matrix->val[j] * x_vec[matrix->col_ind[j]];
}
}
x_vec[i] = num / den;
}
first_group_node = next;
}
}
|
GB_unop__identity_int16_fp64.c | //------------------------------------------------------------------------------
// GB_unop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2020, All Rights Reserved.
// http://suitesparse.com See GraphBLAS/Doc/License.txt for license.
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_unop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB_unop_apply__identity_int16_fp64
// op(A') function: GB_unop_tran__identity_int16_fp64
// C type: int16_t
// A type: double
// cast: int16_t cij = GB_cast_to_int16_t ((double) (aij))
// unaryop: cij = aij
#define GB_ATYPE \
double
#define GB_CTYPE \
int16_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
double aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = x ;
// casting
#define GB_CAST(z, aij) \
int16_t z = GB_cast_to_int16_t ((double) (aij)) ;
// cij = op (aij)
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
double aij = Ax [pA] ; \
/* Cx [pC] = op (cast (aij)) */ \
int16_t z = GB_cast_to_int16_t ((double) (aij)) ; \
Cx [pC] = z ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_IDENTITY || GxB_NO_INT16 || GxB_NO_FP64)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop_apply__identity_int16_fp64
(
int16_t *Cx, // Cx and Ax may be aliased
const double *Ax,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
double aij = Ax [p] ;
int16_t z = GB_cast_to_int16_t ((double) (aij)) ;
Cx [p] = z ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop_tran__identity_int16_fp64
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *GB_RESTRICT *Rowcounts,
GBI_single_iterator Iter,
const int64_t *GB_RESTRICT A_slice,
int naslice
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#define GB_PHASE_2_OF_2
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
nco_omp.c | /* $Header$ */
/* Purpose: OpenMP utilities */
/* Copyright (C) 1995--present Charlie Zender
This file is part of NCO, the netCDF Operators. NCO is free software.
You may redistribute and/or modify NCO under the terms of the
3-Clause BSD License with exceptions described in the LICENSE file */
#include "nco_omp.h" /* OpenMP utilities */
#ifndef _OPENMP
/* OpenMP is not available with this compiler
Declare harmless stub routines for Uni-Processor (UP) code
These stubs reduce pre-processor proliferation */
int omp_get_dynamic(void){return 0;}
int omp_get_max_threads(void){return 1;}
int omp_get_nested(void){return 0;}
int omp_get_num_procs(void){return 1;}
int omp_get_num_threads(void){return 1;}
int omp_get_thread_num(void){return 0;}
int omp_in_parallel(void){return 0;}
/* Fake work code in these functions to avoid C++ warnings, i.e., CEWI */
void omp_set_dynamic(int dynamic_threads){int foo=0;dynamic_threads+=foo;}
void omp_set_nested(int nested){int foo=0;nested+=foo;}
void omp_set_num_threads(int num_threads){int foo=0;num_threads+=foo;}
#endif /* _OPENMP */
int /* O [nbr] Thread number */
nco_openmp_ini /* [fnc] Initialize OpenMP threading environment */
(const int thr_nbr) /* I [nbr] User-requested thread number */
{
/* Purpose: Initialize OpenMP multi-threading environment
Honor user-requested thread number, balance against known code efficiency, print diagnostics
Returns thr_nbr=1 in three situations:
1. UP codes (not threaded)
2. SMP codes compiled with compilers which lack OpenMP support
3. SMP codes where single thread requested/advised
Otherwise returns system-dependent thr_nbr */
/* Using naked stdin/stdout/stderr in parallel region generates warning
Copy appropriate filehandle to variable scoped shared in parallel clause */
char *nvr_OMP_NUM_THREADS; /* [sng] Environment variable OMP_NUM_THREADS */
char *sng_cnv_rcd=NULL_CEWI; /* [sng] strtol()/strtoul() return code */
FILE * const fp_stderr=stderr; /* [fl] stderr filehandle CEWI */
nco_bool USR_SPC_THR_RQS=False;
int dyn_thr=1; /* [flg] Allow system to dynamically set number of threads */
int ntg_OMP_NUM_THREADS=int_CEWI; // [nbr] OMP_NUM_THREADS environment variable
int prc_nbr_max; /* [nbr] Maximum number of processors available */
int thr_nbr_act; /* O [nbr] Number of threads NCO uses */
int thr_nbr_max_fsh=4; /* [nbr] Maximum number of threads program can use efficiently */
int thr_nbr_max=int_CEWI; /* [nbr] Maximum number of threads system allows */
int thr_nbr_rqs=int_CEWI; /* [nbr] Number of threads to request */
#ifndef _OPENMP
if(nco_dbg_lvl_get() >= nco_dbg_fl) (void)fprintf(fp_stderr,"%s: INFO Build compiler lacked (or user turned-off) OpenMP support. Code will execute with single thread in Uni-Processor (UP) mode.\n",nco_prg_nm_get());
return (int)1;
#endif /* !_OPENMP */
/* Strategy:
0. Determine maximum number of threads system will allocate (thr_nbr_max)
1. Command-line thread request, if any, overrides automatic algorithm
2. If no command-line request then system allocates OMP_NUM_THREADS if possible
3. Reduce maximum number of threads available to system to thr_nbr_max_fsh
Many operators cannot use more than thr_nbr_max_fsh ~ 2--4 threads efficiently
Play nice: Set dynamic threading so that system can make efficiency decisions
When dynamic threads are set, system never allocates more than thr_nbr_max_fsh */
if(thr_nbr < 0){
(void)fprintf(fp_stderr,"%s: ERROR User-requested thread number = %d is less than zero\n",nco_prg_nm_get(),thr_nbr);
nco_exit(EXIT_FAILURE);
} /* endif err */
if(thr_nbr == 0)
if(nco_dbg_lvl_get() >= nco_dbg_scl && nco_dbg_lvl_get() != nco_dbg_dev)
(void)fprintf(fp_stderr,"%s: INFO User did not specify thread request > 0 on command line. NCO will automatically assign threads based on OMP_NUM_THREADS environment and machine capabilities.\nHINT: Not specifying any --thr_nbr (or specifying --thr_nbr=0) causes NCO to try to pick the optimal thread number. Specifying --thr_nbr=1 tells NCO to execute in Uni-Processor (UP) (i.e., single-threaded) mode.\n",nco_prg_nm_get());
if(thr_nbr > 0) USR_SPC_THR_RQS=True;
prc_nbr_max=omp_get_num_procs(); /* [nbr] Maximum number of processors available */
if(omp_in_parallel()){
(void)fprintf(fp_stderr,"%s: ERROR Attempted to get maximum thread number from within parallel region\n",nco_prg_nm_get());
nco_exit(EXIT_FAILURE);
}else{
thr_nbr_max=omp_get_max_threads(); /* [nbr] Maximum number of threads system allows */
} /* end error */
if(nco_dbg_lvl_get() >= nco_dbg_scl && nco_dbg_lvl_get() != nco_dbg_dev){
if((nvr_OMP_NUM_THREADS=getenv("OMP_NUM_THREADS"))) ntg_OMP_NUM_THREADS=(int)strtol(nvr_OMP_NUM_THREADS,&sng_cnv_rcd,NCO_SNG_CNV_BASE10); /* [sng] Environment variable OMP_NUM_THREADS */
if(nvr_OMP_NUM_THREADS && *sng_cnv_rcd) nco_sng_cnv_err(nvr_OMP_NUM_THREADS,"strtol",sng_cnv_rcd);
(void)fprintf(fp_stderr,"%s: INFO Environment variable OMP_NUM_THREADS ",nco_prg_nm_get());
if(ntg_OMP_NUM_THREADS > 0) (void)fprintf(fp_stderr,"= %d\n",ntg_OMP_NUM_THREADS); else (void)fprintf(fp_stderr,"does not exist\n");
(void)fprintf(fp_stderr,"%s: INFO omp_get_num_procs() reports number of processors available is %d\n",nco_prg_nm_get(),prc_nbr_max);
(void)fprintf(fp_stderr,"%s: INFO omp_get_max_threads() reports maximum number of threads system allows is %d\n",nco_prg_nm_get(),thr_nbr_max);
} /* endif dbg */
if(USR_SPC_THR_RQS){
/* Try to honor user-specified thread request... */
thr_nbr_rqs=thr_nbr; /* [nbr] Number of threads to request */
/* ...if possible... */
if(nco_dbg_lvl_get() >= nco_dbg_scl) (void)fprintf(fp_stderr,"%s: INFO Command-line requests %d thread%s\n",nco_prg_nm_get(),thr_nbr,(thr_nbr > 1) ? "s" : "");
if(thr_nbr > thr_nbr_max){
(void)fprintf(fp_stderr,"%s: INFO Reducing user-requested thread number = %d to maximum thread number omp_get_max_threads() allows = %d\n",nco_prg_nm_get(),thr_nbr,thr_nbr_max);
thr_nbr_rqs=thr_nbr_max; /* [nbr] Number of threads to request */
} /* endif */
}else{ /* !USR_SPC_THR_RQS */
/* Otherwise use automatic thread allocation algorithm */
/* Request maximum number of threads permitted */
thr_nbr_rqs=thr_nbr_max; /* [nbr] Number of threads to request */
/* Restrict threading on per-program basis to play nicely with others */
switch(nco_prg_id_get()){
/* Operators with pre-set thread limit
NB: All operators currently have default restrictions
2007: Only ncwa and ncap2 have a chance to scale on non-parallel filesystems
ncap2 may, one day, see a big performance boost from threading
However, as of 20090327, ncap2 threading may be buggy due to ANTLR
Moreover, we want to prevent hogging processes on 32-way nodes
until/unless clear benefits of threading are demonstrated.
2015: Threads improve ncks regridding performance by 2-3x on ACME ~1-20 GB netCDF3 files */
case ncap:
/* 20090327: Restrict ncap2 to one thread until ANTLR threading resolved */
thr_nbr_max_fsh=1;
break;
case ncecat:
case ncrcat:
/* ncecat and ncrcat are extremely I/O intensive
Maximum efficiency when one thread reads from input file while other writes to output file */
// 20140219: Turn-off OpenMP until thoroughly tested
// thr_nbr_max_fsh=2;
thr_nbr_max_fsh=1;
break;
case ncks:
// 20150529: Turn-on OpenMP for regridder
thr_nbr_max_fsh=16;
break;
case ncwa:
// 20150530: Turn-on OpenMP for debugging
// 20150610: Eight threads with ncwa seemed to work for a little while, then it got flaky. Turned-off for 4.5.0 release
// 20150622: Allowing eight threads again for debugging with -D 3
// 20150701: Firmly established that netCDF4 involvement hoses threading because HDF5 is not threadsafe by default
// 20150710: Turned-off for 4.5.1 release
// Symptoms of bugs, if any, show up with
// cd ~/nco/bm;nco_bm.pl --regress ncwa;cd -
thr_nbr_max_fsh=1;
if(nco_dbg_lvl_get() >= nco_dbg_scl) thr_nbr_max_fsh=1;
break;
/* Operators with higher maximum pre-set thread limit (NB: not all of these are threaded!) */
case ncra:
thr_nbr_max_fsh=1;
if(nco_dbg_lvl_get() >= nco_dbg_scl) thr_nbr_max_fsh=1;
break;
case ncbo:
case ncatted:
case ncfe:
case ncflint:
case ncpdq:
case ncrename:
case ncge:
// 20140219: Turn-off OpenMP until thoroughly tested
// thr_nbr_max_fsh=4;
thr_nbr_max_fsh=1;
break;
default: nco_dfl_case_prg_id_err(); break;
} /* end case */
/* Automatic algorithm tries to play nice with others */
(void)omp_set_dynamic(dyn_thr); /* [flg] Allow system to dynamically set number of threads */
if(nco_dbg_lvl_get() >= nco_dbg_fl) (void)fprintf(fp_stderr,"%s: INFO omp_set_dynamic() used to %s OS to dynamically set threads\n",nco_prg_nm_get(),(dyn_thr ? "ALLOW" : "DISALLOW"));
dyn_thr=omp_get_dynamic(); /* [flg] Allow system to dynamically set number of threads */
if(nco_dbg_lvl_get() >= nco_dbg_fl) (void)fprintf(fp_stderr,"%s: INFO omp_get_dynamic() reports system will%s utilize dynamic threading\n",nco_prg_nm_get(),(dyn_thr ? "" : " NOT"));
/* Apply program/system limitations */
if(thr_nbr_max > thr_nbr_max_fsh){
if(nco_dbg_lvl_get() >= nco_dbg_fl) (void)fprintf(fp_stderr,"%s: INFO Reducing default thread number from %d to %d, an operator-dependent \"play-nice\" number set in nco_openmp_ini()\n",nco_prg_nm_get(),thr_nbr_max,thr_nbr_max_fsh);
thr_nbr_rqs=thr_nbr_max_fsh; /* [nbr] Number of threads to request */
} /* endif */
} /* !USR_SPC_THR_RQS */
#ifdef ENABLE_NETCDF4
if(nco_prg_id_get() != ncks && nco_prg_id_get() != ncwa && nco_prg_id_get() != ncra && thr_nbr_rqs > 1){
if(USR_SPC_THR_RQS && nco_dbg_lvl_get() >= nco_dbg_fl) (void)fprintf(stdout,"%s: WARNING This is TODO nco939. Requested threading with netCDF4 (HDF5) support. The NCO thread request algorithm considers user-input, environment variables, and software and hardware limitations in determining the number of threads to request, thr_nbr_rqs. At this point NCO would request result %d threads from a netCDF3-based library. However, this NCO was built with netCDF4, which relies on HDF5. netCDF4 is not thread-safe unless HDF5 is configured with the (non-default) --enable-threadsafe option. NCO currently has no way to know whether HDF5 was built thread-safe. Hence, all netCDF4-based operators are currently restricted to a single thread. The program will now automatically set thr_nbr_rqs = 1.\nThis unfortunate limitation is necessary to keep the NCO developers sane. If you want/need threading in netCDF4-based NCO, please politely yet firmly request of the Unidata netCDF developers that better thread support be built into netCDF4, and request of the HDF5 developers that they make the --enable-threadsafe option compatible with all HDF5 libraries and APIs, including Fortran (which, as of HDF5 1.8.0 in 2008, is incompatible with --enable-threadsafe).\n",nco_prg_nm_get(),thr_nbr_rqs);
thr_nbr_rqs=1;
} /* endif */
#endif /* !ENABLE_NETCDF4 */
/* Set thread number */
if(omp_in_parallel()){
(void)fprintf(fp_stderr,"%s: ERROR Attempted to set thread number from within parallel region\n",nco_prg_nm_get());
nco_exit(EXIT_FAILURE);
}else{
(void)omp_set_num_threads(thr_nbr_rqs);
if(nco_dbg_lvl_get() >= nco_dbg_fl) (void)fprintf(fp_stderr,"%s: INFO omp_set_num_threads() used to set execution environment to spawn teams of %d thread(s)\n",nco_prg_nm_get(),thr_nbr_rqs);
} /* end error */
thr_nbr_act=omp_get_max_threads();
if(nco_dbg_lvl_get() >= nco_dbg_scl) (void)fprintf(fp_stderr,"%s: INFO After using omp_set_num_threads() to adjust for any user requests/NCO optimizations, omp_get_max_threads() reports that a parallel construct here/now would spawn %d thread(s)\n",nco_prg_nm_get(),thr_nbr_act);
#ifdef _OPENMP
if(nco_dbg_lvl_get() >= nco_dbg_scl){
// 20190203: Remove default(none) clause to prevent GCC9 errors on missing declaration for fp_stderr
//# pragma omp parallel default(none) shared(thr_nbr_act)
# pragma omp parallel shared(thr_nbr_act)
{ /* begin OpenMP parallel */
# pragma omp single nowait
{ /* begin OpenMP single */
thr_nbr_act=omp_get_num_threads(); /* [nbr] Number of threads NCO uses */
if(nco_dbg_lvl_get() >= nco_dbg_fl) (void)fprintf(fp_stderr,"%s: INFO Small parallel test region spawned team of %d thread(s)\n",nco_prg_nm_get(),thr_nbr_act);
} /* end OpenMP single */
} /* end OpenMP parallel */
} /* end dbg */
#endif /* !_OPENMP */
/* Issue any warnings about OpenMP credibility during debugging phase */
if(True)
if((nco_prg_id_get() == ncwa || nco_prg_id_get() == ncra) && thr_nbr_act > 1)
if(nco_dbg_lvl_get() >= nco_dbg_fl) (void)fprintf(fp_stderr,"%s: WARNING OpenMP threading active with %d threads but not guaranteed to work on this operator. If strange behavior (e.g., NaN results) ensues, manually turn-off multi-threading by specifying \"-t 1\" option.\n",nco_prg_nm_get(),thr_nbr_act);
return thr_nbr_act; /* O [nbr] Number of threads NCO uses */
} /* end nco_openmp_ini() */
int /* O [enm] Return code */
nco_var_prc_crr_prn /* [fnc] Print name of current variable */
(const int idx, /* I [idx] Index of current variable */
const char * const var_nm) /* I [sng] Variable name */
{
/* Purpose: Print name of current variable */
int rcd=0; /* [rcd] Return code */
#ifdef _OPENMP
(void)fprintf(stderr,"%s: INFO main loop thread #%d processing var_prc[%d] = \"%s\"\n",nco_prg_nm_get(),omp_get_thread_num(),idx,var_nm);
#else /* !_OPENMP */
rcd+=idx*0; /* CEWI */
(void)fprintf(stderr,"%s: INFO main loop processing var_prc[%d] = \"%s\"\n",nco_prg_nm_get(),idx,var_nm);
#endif /* !_OPENMP */
return rcd;
} /* end nco_var_prc_crr_prn() */
void
nco_omp_chk
(const char *smsg)
{
char fnc_nm[]="nco_omp_chk()";
int thr_nbr_act = omp_get_max_threads();
FILE *fp_stderr=stderr;
(void) fprintf(fp_stderr,"%s%s: INFO After using omp_set_num_threads() to adjust for any user requests/NCO optimizations, omp_get_max_threads() reports that a parallel construct here/now would spawn %d thread(s)\n",fnc_nm,smsg,thr_nbr_act);
#ifdef _OPENMP
#pragma omp parallel shared(thr_nbr_act)
{ /* begin OpenMP parallel */
# pragma omp single nowait
{ /* begin OpenMP single */
thr_nbr_act = omp_get_num_threads(); /* [nbr] Number of threads NCO uses */
(void) fprintf(fp_stderr, "%s: %s INFO Small parallel test region spawned team of %d thread(s)\n",fnc_nm, smsg, thr_nbr_act);
} /* end OpenMP single */
} /* end OpenMP parallel */
#endif /* !_OPENMP */
}
void nco_omp_for_chk(
const char *smsg)
{
char fnc_nm[]="nco_omp_for_chk()";
int thr_nbr_act = omp_get_max_threads();
int idx;
int cnt=10;
FILE *fp_stderr=stderr;
(void)fprintf(fp_stderr,"%s:%s: INFO After using omp_set_num_threads() to adjust for any user requests/NCO optimizations, omp_get_max_threads() reports that a parallel construct here/now would spawn %d thread(s)\n",fnc_nm,smsg,thr_nbr_act);
#ifdef _OPENMP
#pragma omp parallel for private(idx)
#endif /* !_OPENMP */
for(idx=0;idx<cnt;idx++)
{
fprintf(fp_stderr,"%s: %d %d\n", fnc_nm, idx, omp_get_thread_num());
}
}
|
crypt-sha1_fmt_plug.c | /*
* This file is based on the "cryptsha512_fmt_plug.c" file.
*
* This software is Copyright (c) 2014 Dhiru Kholia, and it is hereby released
* to the general public under the following terms:
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted.
*
* Enhanced code (dropped usage of the Gladman hmac code), and addition of SSE2
* logic, Aug 2014, JimF.
*/
#if FMT_EXTERNS_H
extern struct fmt_main fmt_cryptsha1;
#elif FMT_REGISTERS_H
john_register_one(&fmt_cryptsha1);
#else
#include <string.h>
#ifdef _OPENMP
#ifndef OMP_SCALE
#define OMP_SCALE 32 // tuned on core i7 w/ HT
#endif
#include <omp.h>
#endif
#include "arch.h"
#include "sha.h"
#include "params.h"
#include "common.h"
#include "formats.h"
#include "johnswap.h"
#define PBKDF1_LOGIC 1
#include "pbkdf2_hmac_sha1.h"
#include "base64_convert.h"
#include "sha1crypt_common.h"
#include "memdbg.h"
#define SHA1_SIZE 20
#define FORMAT_LABEL "sha1crypt"
#define FORMAT_NAME "NetBSD's sha1crypt"
#ifdef SIMD_COEF_32
#define ALGORITHM_NAME "PBKDF1-SHA1 " SHA1_ALGORITHM_NAME
#else
#define ALGORITHM_NAME "PBKDF1-SHA1 " ARCH_BITS_STR "/" ARCH_BITS_STR
#endif
#define PLAINTEXT_LENGTH 125
#define BINARY_ALIGN 4
#define SALT_SIZE sizeof(struct saltstruct)
#define SALT_ALIGN 4
#ifdef SIMD_COEF_32
#define MIN_KEYS_PER_CRYPT SSE_GROUP_SZ_SHA1
#define MAX_KEYS_PER_CRYPT SSE_GROUP_SZ_SHA1
#else
#define MIN_KEYS_PER_CRYPT 1
#define MAX_KEYS_PER_CRYPT 1
#endif
/* An example hash (of password) is $sha1$40000$jtNX3nZ2$hBNaIXkt4wBI2o5rsi8KejSjNqIq.
* An sha1-crypt hash string has the format $sha1$rounds$salt$checksum, where:
*
* $sha1$ is the prefix used to identify sha1-crypt hashes, following the Modular Crypt Format
* rounds is the decimal number of rounds to use (40000 in the example).
* salt is 0-64 characters drawn from [./0-9A-Za-z] (jtNX3nZ2 in the example).
* checksum is 28 characters drawn from the same set, encoding a 168-bit checksum.
*/
// static struct fmt_tests sha1crypt_common_tests[] = { // located in sha1crypt_common.c
static char (*saved_key)[PLAINTEXT_LENGTH + 1];
static uint32_t (*crypt_out)[BINARY_SIZE / sizeof(uint32_t)];
static struct saltstruct {
unsigned int length;
unsigned int rounds;
unsigned char salt[SALT_BUFFER_LENGTH+SHA1_MAGIC_LEN+7]; // allows up to 9999999 sized rounds with 64 byte salt.
} *cur_salt;
static void init(struct fmt_main *self)
{
#ifdef _OPENMP
int omp_t = omp_get_max_threads();
self->params.min_keys_per_crypt *= omp_t;
omp_t *= OMP_SCALE;
self->params.max_keys_per_crypt *= omp_t;
#endif
saved_key = mem_calloc(self->params.max_keys_per_crypt,
sizeof(*saved_key));
crypt_out = mem_calloc(self->params.max_keys_per_crypt,
sizeof(*crypt_out));
}
static void done(void)
{
MEM_FREE(crypt_out);
MEM_FREE(saved_key);
}
#define COMMON_GET_HASH_VAR crypt_out
#include "common-get-hash.h"
static void set_key(char *key, int index)
{
strnzcpy(saved_key[index], key, sizeof(*saved_key));
}
static char *get_key(int index)
{
return saved_key[index];
}
static int crypt_all(int *pcount, struct db_salt *salt)
{
const int count = *pcount;
int index = 0;
#ifdef _OPENMP
#pragma omp parallel for
#endif
#if defined(_OPENMP) || MAX_KEYS_PER_CRYPT > 1
for (index = 0; index < count; index += MAX_KEYS_PER_CRYPT)
#endif
{
#ifdef SSE_GROUP_SZ_SHA1
int lens[SSE_GROUP_SZ_SHA1], i;
unsigned char *pin[SSE_GROUP_SZ_SHA1];
union {
uint32_t *pout[SSE_GROUP_SZ_SHA1];
unsigned char *poutc;
} x;
for (i = 0; i < SSE_GROUP_SZ_SHA1; ++i) {
lens[i] = strlen(saved_key[index+i]);
pin[i] = (unsigned char*)saved_key[index+i];
x.pout[i] = crypt_out[index+i];
}
pbkdf1_sha1_sse((const unsigned char **)pin, lens,
cur_salt->salt, cur_salt->length,
cur_salt->rounds, &(x.poutc),
BINARY_SIZE, 0);
#else
pbkdf1_sha1((const unsigned char*)(saved_key[index]),
strlen(saved_key[index]),
cur_salt->salt, cur_salt->length,
cur_salt->rounds, (unsigned char*)crypt_out[index],
BINARY_SIZE, 0);
#endif
}
return count;
}
static void set_salt(void *salt)
{
cur_salt = salt;
}
static void *get_salt(char *ciphertext)
{
static struct saltstruct out;
char tmp[sizeof(out.salt)];
char *p;
memset(&out, 0, sizeof(out));
p = strrchr(ciphertext, '$') + 1;
strnzcpy(tmp, ciphertext, p - ciphertext);
out.rounds = strtoul(&ciphertext[SHA1_MAGIC_LEN], NULL, 10);
// point p to the salt value, BUT we have to decorate the salt for this hash.
p = strrchr(tmp, '$') + 1;
// real salt used is: <salt><magic><iterations>
out.length = snprintf((char*)out.salt, sizeof(out.salt), "%.*s%s%u", (int)strlen(p), p, SHA1_MAGIC, out.rounds);
return &out;
}
static int cmp_all(void *binary, int count)
{
int index = 0;
#if defined(_OPENMP) || MAX_KEYS_PER_CRYPT > 1
for (; index < count; index++)
#endif
if (!memcmp(binary, crypt_out[index], ARCH_SIZE))
return 1;
return 0;
}
static int cmp_one(void *binary, int index)
{
return !memcmp(binary, crypt_out[index], BINARY_SIZE);
}
static int cmp_exact(char *source, int index)
{
return 1;
}
// Public domain hash function by DJ Bernstein
// We are hashing the entire struct
static int salt_hash(void *salt)
{
unsigned char *s = salt;
unsigned int hash = 5381;
unsigned int i;
for (i = 0; i < SALT_SIZE; i++)
hash = ((hash << 5) + hash) ^ s[i];
return hash & (SALT_HASH_SIZE - 1);
}
static unsigned int iteration_count(void *salt)
{
struct saltstruct *p = (struct saltstruct *)salt;
return p->rounds;
}
struct fmt_main fmt_cryptsha1 = {
{
FORMAT_LABEL,
FORMAT_NAME,
ALGORITHM_NAME,
BENCHMARK_COMMENT,
BENCHMARK_LENGTH,
0,
PLAINTEXT_LENGTH,
BINARY_SIZE,
BINARY_ALIGN,
SALT_SIZE,
SALT_ALIGN,
MIN_KEYS_PER_CRYPT,
MAX_KEYS_PER_CRYPT,
FMT_CASE | FMT_8_BIT | FMT_OMP,
{
"iteration count",
},
{ SHA1_MAGIC },
sha1crypt_common_tests
}, {
init,
done,
fmt_default_reset,
fmt_default_prepare,
sha1crypt_common_valid,
fmt_default_split,
sha1crypt_common_get_binary,
get_salt,
{
iteration_count,
},
fmt_default_source,
{
fmt_default_binary_hash_0,
fmt_default_binary_hash_1,
fmt_default_binary_hash_2,
fmt_default_binary_hash_3,
fmt_default_binary_hash_4,
fmt_default_binary_hash_5,
fmt_default_binary_hash_6
},
salt_hash,
NULL,
set_salt,
set_key,
get_key,
fmt_default_clear_keys,
crypt_all,
{
#define COMMON_GET_HASH_LINK
#include "common-get-hash.h"
},
cmp_all,
cmp_one,
cmp_exact
}
};
#endif /* plugin stanza */
|
ops.h | #pragma once
#ifndef OPS_H_
#define OPS_H_
#include <op_boilerplate.h>
#include <array/DataTypeUtils.h>
#include <helpers/shape.h>
#include <vector>
#include <Environment.h>
#include <loops/summarystatsreduce.h>
#define MIN 1e-12
#define MAX_FLOAT 1e37
#define MIN_FLOAT 1e-37
#define MAX_INT 2147483647
#define MIN_CUTFOFF -3.79297773665f
#define FLOAT_MIN_NORMAL 1.17549435e-38
#define EPS 1e-5
#define AFFINITY close
#define DOUBLE_PI_T T(2.0 * 3.14159265358979323846)
#define no_op_exec_special static const bool requiresSpecial = false; static void execSpecial(T *dx, Nd4jLong *xShapeBuffer, T *result, Nd4jLong *resultShapeBuffer, T *extraParams, Nd4jLong *tadShapeInfo, Nd4jLong *tadOffsets) {}
#define no_op_exec_special_accumulation static const bool requiresSpecialAccumulation = false; static void execSpecial(T *x, Nd4jLong *xShapeInfo, T *extraParams, T *result, Nd4jLong *resultShapeInfoBuffer, int *dimension, int dimensionLength, Nd4jLong *tadShapeInfo, Nd4jLong *tadOffset){}
#ifdef __CUDACC__
#include <helpers/sharedmem.h>
#define no_op_exec_special_cuda static __device__ void execSpecialCuda(T *dx, Nd4jLong *xShapeBuffer,T *result, Nd4jLong *resultShapeBuffer,T *extraParams, int *allocationPointer, T *reductionPointer, UnifiedSharedMemory *manager, Nd4jLong *tadShapeInfo, Nd4jLong *tadOffsets) {}
#define no_op_exec_special_accumulation_cuda static inline __device__ void execSpecialCuda(T *dx, Nd4jLong *xShapeInfo, T *extraParams, T *result, Nd4jLong *resultShapeInfo, int *dimension, int dimensionLength, T *reductionBuffer, UnifiedSharedMemory *manager, Nd4jLong *tadOnlyShapeInfo, Nd4jLong *tadOffsets) {}
#else
// hacky fix for isnan/being being out of scope
//#ifdef IOS
//#define isinf(x) 0 // this isn't right. But std::isinf fails
//#define isnan(x) 0
//#else
//#define isnan std::isnan
//#define isinf std::isinf
//#endif
#define no_op_exec_special_cuda
#define no_op_exec_special_accumulation_cuda
#endif
#define SELU_ALPHA 1.6732632423543772848170429916717
#define SELU_LAMBDA 1.0507009873554804934193349852946
#ifdef _OPENMP
#pragma omp declare reduction(maxT : float,double,float16 : \
omp_out = nd4j::math::nd4j_max(omp_in, omp_out) )\
initializer (omp_priv=-MAX_FLOAT)
#pragma omp declare reduction(minT : float,double,float16 : \
omp_out = nd4j::math::nd4j_min(omp_in, omp_out) )\
initializer (omp_priv=MAX_FLOAT)
#pragma omp declare reduction(sumT : float,double,float16 : \
omp_out = omp_in + omp_out)\
initializer (omp_priv=0.0f)
#endif
namespace functions {
namespace indexreduce {
template<typename T>
struct IndexValue {
T value;
Nd4jLong index;
};
}
namespace summarystats {
template <typename T>
class SummaryStatsData;
}
}
namespace simdOps {
template<typename T>
class Add {
public:
op_def static T op(T d1, T d2) {
return d1 + d2;
}
op_def static T op(T d1, T d2, T *params) {
return d1 + d2;
}
op_def static T op(T d1) {
return d1;
}
// op for MetaOps
op_def static T op(T d1, T *params) {
return d1 + params[0];
}
op_def static T startingValue() {
return static_cast<T>(0.f);
}
};
template<typename T>
class Subtract {
public:
op_def static T op(T d1, T d2) {
return d1 - d2;
}
op_def static T op(T d1, T d2, T *params) {
return d1 - d2;
}
op_def static T op(T d1) {
return d1;
}
// op for MetaOps
op_def static T op(T d1, T *params) {
return d1 - params[0];
}
};
template<typename T>
class SquaredSubtract {
public:
op_def static T op(T d1, T d2) {
return nd4j::math::nd4j_pow<T>(d1 - d2, static_cast<T>(2.f));
}
op_def static T op(T d1, T d2, T *params) {
return nd4j::math::nd4j_pow<T>(d1 - d2, static_cast<T>(2.f));
}
op_def static T op(T d1) {
return d1;
}
// op for MetaOps
op_def static T op(T d1, T *params) {
return nd4j::math::nd4j_pow<T>(d1 - params[0], static_cast<T>(2.f));
}
};
template<typename T>
class ReverseSubtract {
public:
op_def static T op(T d1, T d2) {
return d2 - d1;
}
op_def static T op(T d1, T d2, T *params) {
return d2 - d1;
}
op_def static T op(T d1) {
return d1;
}
// op for MetaOps
op_def static T op(T d1, T *params) {
return params[0] - d1;
}
};
template<typename T>
class LogPoisonLossFull {
public:
op_def static T op(T z, T c) {
return (nd4j::math::nd4j_exp<T>(c) - z * c + (z * nd4j::math::nd4j_log<T>(z) - z + static_cast<T>(0.5f) * nd4j::math::nd4j_log<T>(DOUBLE_PI_T * z)));
}
op_def static T op(T z, T c, T *params) {
return (nd4j::math::nd4j_exp<T>(c) - z * c + (z * nd4j::math::nd4j_log<T>(z) - z + static_cast<T>(0.5f) * nd4j::math::nd4j_log<T>(DOUBLE_PI_T * z)));
}
op_def static T op(T z) {
return (z * nd4j::math::nd4j_log<T>(z) - z + static_cast<T>(0.5f) * nd4j::math::nd4j_log<T>(DOUBLE_PI_T * z));
}
// op for MetaOps
op_def static T op(T z, T *params) {
return (nd4j::math::nd4j_exp<T>(params[0]) - z * params[0] + (z * nd4j::math::nd4j_log<T>(z) - z + static_cast<T>(0.5f) * nd4j::math::nd4j_log<T>(DOUBLE_PI_T * z)));
}
};
template<typename T>
class LogPoisonLoss {
public:
op_def static T op(T z, T c) {
return (nd4j::math::nd4j_exp<T>(c) - z * c);
}
op_def static T op(T z, T c, T *params) {
return (nd4j::math::nd4j_exp<T>(c) - z * c);
}
op_def static T op(T z) {
return (z);
}
// op for MetaOps
op_def static T op(T z, T *params) {
return (nd4j::math::nd4j_exp<T>(params[0]) - z * params[0]);
}
};
template<typename T>
class Multiply {
public:
op_def static T op(T d1, T d2) {
return d1 * d2;
}
op_def static T op(T d1, T d2, T *params) {
return d1 * d2;
}
op_def static T op(T d1) {
return d1;
}
// op for MetaOps
op_def static T op(T d1, T *params) {
return d1 * params[0];
}
op_def static T startingValue() {
return static_cast<T>(1.f);
}
};
template<typename T>
class Divide {
public:
op_def static T op(T d1, T d2) {
return d1 / d2;
}
op_def static T op(T d1, T d2, T *params) {
return d1 / d2;
}
op_def static T op(T d1) {
return d1;
}
// op for MetaOps
op_def static T op(T d1, T *params) {
return d1 / params[0];
}
op_def static T startingValue() {
return static_cast<T>(1.f);
}
};
template<typename T>
class SafeDivide {
public:
op_def static T op(T d1, T d2) {
if(d2 == static_cast<T>(0.f))
return static_cast<T>(0.f);
return d1 / d2;
}
op_def static T op(T d1, T d2, T *params) {
if(d2 == static_cast<T>(0.f))
return static_cast<T>(0.f);
return d1 / d2;
}
op_def static T op(T d1) {
return d1;
}
// op for MetaOps
op_def static T op(T d1, T *params) {
if(params[0] == static_cast<T>(0.f))
return static_cast<T>(0.f);
return d1 / params[0];
}
};
template<typename T>
class FloorDiv {
public:
op_def static T op(T d1, T d2) {
return nd4j::math::nd4j_floor<T>(d1 / d2);
}
op_def static T op(T d1, T d2, T *params) {
return nd4j::math::nd4j_floor<T>(d1 / d2);
}
op_def static T op(T d1) {
return nd4j::math::nd4j_floor<T>(d1);
}
// op for MetaOps
op_def static T op(T d1, T *params) {
return nd4j::math::nd4j_floor<T>(d1 / params[0]);
}
};
template<typename T>
class TruncateDiv {
public:
op_def static T op(T d1, T d2) {
auto i1 = static_cast<int>(d1);
auto i2 = static_cast<int>(d2);
return static_cast<T>(i1 / i2);
}
op_def static T op(T d1, T d2, T *params) {
auto i1 = static_cast<int>(d1);
auto i2 = static_cast<int>(d2);
return static_cast<T>(i1 / i2);
}
op_def static T op(T d1) {
return d1;
}
// op for MetaOps
op_def static T op(T d1, T *params) {
auto i1 = static_cast<int>(d1);
auto i2 = static_cast<int>(params[0]);
return static_cast<T>(i1 / i2);
}
};
template<typename T>
class Remainder {
public:
op_def static T op(T d1, T d2) {
return nd4j::math::nd4j_remainder(d1, d2);
}
op_def static T op(T d1, T d2, T *params) {
return nd4j::math::nd4j_remainder(d1, d2);
}
op_def static T op(T d1) {
return d1;
}
// op for MetaOps
op_def static T op(T d1, T *params) {
return nd4j::math::nd4j_remainder(d1, params[0]);
}
};
template<typename T>
class FMod {
public:
op_def static T op(T d1, T d2) {
return nd4j::math::nd4j_fmod(d1, d2);
}
op_def static T op(T d1, T d2, T *params) {
return nd4j::math::nd4j_fmod(d1, d2);
}
op_def static T op(T d1) {
return d1;
}
// op for MetaOps
op_def static T op(T d1, T *params) {
return nd4j::math::nd4j_fmod(d1, params[0]);
}
};
template<typename T>
class FloorMod {
public:
op_def static T op(T d1, T d2) {
T m = nd4j::math::nd4j_fmod(d1, d2);;
return (d1 < static_cast<T>(0.0f)) == (d2 < static_cast<T>(0.0f)) ? m : nd4j::math::nd4j_fmod<T>(m + d2, d2);
}
op_def static T op(T d1, T d2, T *params) {
T m = nd4j::math::nd4j_fmod(d1, d2);
return (d1 < static_cast<T>(0.0f)) == (d2 < static_cast<T>(0.0f)) ? m : nd4j::math::nd4j_fmod<T>(m + d2, d2);
}
op_def static T op(T d1) {
return d1;
}
// op for MetaOps
op_def static T op(T d1, T *params) {
T m = nd4j::math::nd4j_fmod(d1, params[0]);
return (d1 < static_cast<T>(0.0f)) == (params[0] < static_cast<T>(0.0f)) ? m : nd4j::math::nd4j_fmod<T>(m + params[0], params[0]);
}
};
template<typename T>
class ReverseDivide {
public:
op_def static T op(T d1, T d2) {
return d2 / d1;
}
op_def static T op(T d1, T d2, T *params) {
return d2 / d1;
}
op_def static T op(T d1) {
return d1;
}
// op for MetaOps
op_def static T op(T d1, T *params) {
return params[0] / d1;
}
};
template<typename T>
class Copy {
public:
op_def static T op(T d1, T d2) {
return d2;
}
op_def static T op(T d1, T d2, T *params) {
return d2;
}
op_def static T op(T d1) {
return d1;
}
// op for MetaOps
op_def static T op(T d1, T *params) {
return params[0];
}
};
template<typename T>
class Copy2 {
public:
op_def static T op(T d1, T d2) {
return d2;
}
op_def static T op(T d1, T d2, T *params) {
return d2;
}
op_def static T op(T d1) {
return d1;
}
// op for MetaOps
op_def static T op(T d1, T *params) {
return params[0];
}
};
template<typename T>
class Axpy {
public:
op_def static T op(T d1, T d2) {
return d2 + d1;
}
op_def static T op(T d1, T d2, T *params) {
T alpha = params[0];
return alpha * d1 + d2;
}
op_def static T op(T d1) {
return d1;
}
};
template<typename T>
class And {
public:
op_def static T op(T d1, T d2) {
return d2 + d1;
}
op_def static T op(T d1, T d2, T *params) {
T comp = params[0];
return d1 != comp && d2 != comp ? static_cast<T>(1.0f) : static_cast<T>(0.0f);
}
op_def static T op(T d1) {
return d1;
}
// op for MetaOps
op_def static T op(T d1, T *params) {
return static_cast<T>(119.0f);
}
};
template<typename T>
class Or {
public:
op_def static T op(T d1, T d2) {
return d2 + d1;
}
op_def static T op(T d1, T d2, T *params) {
T comp = params[0];
return d1 != comp || d2 != comp ? static_cast<T>(1.0f) : static_cast<T>(0.0f);
}
op_def static T op(T d1) {
return d1;
}
// op for MetaOps
op_def static T op(T d1, T *params) {
return static_cast<T>(119.0f);
}
};
template<typename T>
class Xor {
public:
op_def static T op(T d1, T d2) {
return d2 + d1;
}
op_def static T op(T d1, T d2, T *params) {
T comp = params[0];
return ((d1 == comp && d2 != comp)||(d1 != comp && d2 == comp)) ? static_cast<T>(1.0f) : static_cast<T>(0.0f);
}
op_def static T op(T d1) {
return d1;
}
};
template<typename T>
class Not {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
T comp = params[0];
return d1 == comp ? static_cast<T>(1.0f) : static_cast<T>(0.0f);
}
};
template<typename T>
class SetValOrLess {
public:
op_def static T op(T d1, T d2, T *params) {
if (d2 < d1) {
return d1;
}
return d2;
}
};
template<typename T>
class Mod {
public:
/*
// just a optional note, feel free to remove later
op_def static half op(half d1, half d2, half *params) {
return __float2half(simdOps::Mod<float>::op(__half2float(d1), __half2float(d2), nullptr));
}
*/
op_def static T op(T d1, T d2) {
return (int)d1 % (int)d2;
}
op_def static T op(T d1, T d2, T *params) {
return (int)d1 % (int)d2;
}
// op for MetaOp
op_def static T op(T d1, T *params) {
return (int)d1 % (int)params[0];
}
};
template<typename T>
class ReverseMod {
public:
op_def static T op(T d1, T d2) {
return (int)d2 % (int)d1;
}
op_def static T op(T d1, T d2, T *params) {
return (int)d2 % (int)d1;
}
// op for MetaOp
op_def static T op(T d1, T *params) {
return (int)params[0] % (int)d1;
}
};
/**
* Whether 2 elements in an array
* are epsilion equal
*/
template<typename T>
class Epsilon {
public:
op_def static T op(T d1, T d2, T *params) {
T diff = d1 - d2;
T absDiff = nd4j::math::nd4j_abs<T>(diff);
if (absDiff <= static_cast<T>(MIN))
return static_cast<T>(1.0f);
return static_cast<T>(0.0f);
}
op_def static T op(T d1, T *params) {
return d1;
}
};
template<typename T>
class EqualTo {
public:
op_def static T op(T d1, T d2) {
return d1 == d2;
}
op_def static T op(T d1, T d2, T *params) {
return d1 == d2;
}
op_def static T op(T d1, T *params) {
return d1;
}
};
template<typename T>
class NotEqualTo {
public:
op_def static T op(T d1, T d2) {
return d1 != d2;
}
op_def static T op(T d1, T d2, T *params) {
return d1 != d2;
}
op_def static T op(T d1, T *params) {
return d1;
}
};
template<typename T>
class GreaterThanOrEqual {
public:
op_def static T op(T d1, T d2) {
return d1 >= d2;
}
op_def static T op(T d1, T d2, T *params) {
return d1 >= d2;
}
// FIXME: this signature clashes with MetaOp stuff
op_def static T op(T d1, T *params) {
return d1;
}
};
template<typename T>
class GreaterThan {
public:
op_def static T op(T d1, T d2) {
return d1 > d2;
}
op_def static T op(T d1, T d2, T *params) {
return d1 > d2;
}
// FIXME: this signature clashes with MetaOp stuff
op_def static T op(T d1, T *params) {
return d1;
}
};
template<typename T>
class LessThan {
public:
op_def static T op(T d1, T d2) {
return d1 < d2;
}
op_def static T op(T d1, T d2, T *params) {
return d1 < d2;
}
op_def static T op(T d1, T *params) {
return d1;
}
};
template<typename T>
class LessThanOrEqual {
public:
op_def static T op(T d1, T d2) {
return d1 <= d2;
}
op_def static T op(T d1, T d2, T *params) {
return d1 <= d2;
}
op_def static T op(T d1, T *params) {
return d1;
}
};
template<typename T>
class Abs {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return nd4j::math::nd4j_abs<T>(d1);
}
};
template<typename T>
class Ceiling {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return nd4j::math::nd4j_ceil<T>(d1);
}
};
template<typename T>
class Cosine {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return nd4j::math::nd4j_cos<T>(d1);
}
};
template<typename T>
class Exp {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return nd4j::math::nd4j_exp<T>(d1);
}
};
template<typename T>
class HardTanhDerivative {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return ((d1 >= static_cast<T>(-1.0f) && d1 <= static_cast<T>(1.0f)) ? static_cast<T>(1.0f) : static_cast<T>(0.0f));
}
};
template<typename T>
class HardTanh {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
if (d1 < static_cast<T>(-1.0f))
return static_cast<T>(-1.0f);
else if (d1 > static_cast<T>(1.0f))
return static_cast<T>(1.0f);
else
return d1;
}
};
template<typename T>
class Floor {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return nd4j::math::nd4j_floor<T>(d1);
}
};
template<typename T>
class Log {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return nd4j::math::nd4j_log<T>(d1);
}
};
template<typename T>
class Log1p {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return nd4j::math::nd4j_log<T>(1+d1);
}
};
template<typename T>
class LogX {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return nd4j::math::nd4j_log<T>(d1) / nd4j::math::nd4j_log<T>(params[0]) ;
}
};
template<typename T>
class StabilizeFP16 {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
if (d1 <= static_cast<T>(0.f)) return static_cast<T>(0.001f);
else return d1;
}
};
template<typename T>
class SpecialDerivative {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return d1 * (static_cast<T>(1.0f) - d1);
}
};
template<typename T>
class Neg {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return -d1;
}
};
template<typename T>
class Erf {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return nd4j::math::nd4j_erf<T>(d1);
}
};
template<typename T>
class Erfc {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return nd4j::math::nd4j_erfc<T>(d1);
}
};
template<typename T>
class Reciprocal {
public:
no_op_exec_special
no_op_exec_special_cuda
// op_def static T op(T d1) {
// return (T(1.0f) / d1);
// }
// op for MetaOps
op_def static T op(T d1, T *params) {
return (static_cast<T>(1.0f)/d1);
}
};
template<typename T>
class Sqr {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return nd4j::math::nd4j_pow<T>(d1, static_cast<T>(2.f));
}
op_def static T op(T d1) {
return nd4j::math::nd4j_pow<T>(d1, static_cast<T>(2.0f));
}
};
template<typename T>
class RelativeError {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return nd4j::math::nd4j_re<T>(d1, params[0]);
}
op_def static T op(T d1, T d2) {
return nd4j::math::nd4j_re<T>(d1, d2);
}
op_def static T op(T d1, T d2, T *params) {
return nd4j::math::nd4j_re<T>(d1, d2);
}
op_def static T op(T d1) {
return static_cast<T>(0.0f);
}
};
template<typename T>
class BinaryRelativeError {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
T d2 = params[0];
T threshold = params[1];
return nd4j::math::nd4j_re<T>(d1, d2) > threshold ? static_cast<T>(1.0f) : static_cast<T>(0.0f);
}
op_def static T op(T d1, T d2, T *params) {
T threshold = params[0];
return nd4j::math::nd4j_re<T>(d1, d2) > threshold ? static_cast<T>(1.0f) : static_cast<T>(0.0f);
}
op_def static T op(T d1) {
return static_cast<T>(0.0f);
}
};
template<typename T>
class BinaryMinimumAbsoluteRelativeError {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
T d2 = params[0];
T thresholdRelative = params[1];
T thresholdAbsolute = params[2];
return nd4j::math::nd4j_re<T>(d1, d2) > thresholdRelative ? (nd4j::math::nd4j_abs<T>(d1 - d2) < thresholdAbsolute ? static_cast<T>(0.0f) : static_cast<T>(1.0f)) : static_cast<T>(0.0f);
}
op_def static T op(T d1, T d2, T *params) {
T thresholdRelative = params[0];
T thresholdAbsolute = params[1];
return nd4j::math::nd4j_re<T>(d1, d2) > thresholdRelative ? (nd4j::math::nd4j_abs<T>(d1 - d2) < thresholdAbsolute ? static_cast<T>(0.0f) : static_cast<T>(1.0f)) : static_cast<T>(0.0f);
}
op_def static T op(T d1) {
return static_cast<T>(0.0f);
}
};
template<typename T>
class Pow {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return nd4j::math::nd4j_pow<T>(d1, params[0]);
}
op_def static T op(T d1, T d2) {
return nd4j::math::nd4j_pow<T>(d1, d2);
}
op_def static T op(T d1, T d2, T *params) {
return nd4j::math::nd4j_pow<T>(d1, d2);
}
op_def static T op(T d1) {
return d1;
}
};
template<typename T>
class PowDerivative {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return params[0] * nd4j::math::nd4j_pow<T>(d1, params[0] - static_cast<T>(1.f));
}
op_def static T op(T d1, T d2) {
return d2 * nd4j::math::nd4j_pow<T>(d1, d2 - static_cast<T>(1.f));
}
op_def static T op(T d1, T d2, T *params) {
return d2 * nd4j::math::nd4j_pow<T>(d1, d2 - static_cast<T>(1.f));
}
op_def static T op(T d1) {
return d1;
}
};
template<typename T>
class Round {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return nd4j::math::nd4j_round<T>(d1);
}
};
template<typename T>
class IsNan {
public:
no_op_exec_special
no_op_exec_special_cuda
no_op_exec_special_accumulation
no_op_exec_special_accumulation_cuda
op_def static T op(T d1, T *params) {
return nd4j::math::nd4j_isnan(d1) ? static_cast<T>(1.0f) : static_cast<T>(0.0f);
}
op_def static T startingValue(const T *input) {
return static_cast<T>(0.0f);
}
op_def static T merge(T old, T opOutput, T *extraParams) {
return opOutput + old;
}
op_def static T update(T old, T opOutput, T *extraParams) {
return opOutput + old;
}
op_def static T postProcess(T reduction, Nd4jLong n, T *extraParams) {
return reduction;
}
};
template<typename T>
class Expm1 {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return nd4j::math::nd4j_exp(d1) - static_cast<T>(1.0f);
}
};
template<typename T>
class IsInf {
public:
no_op_exec_special
no_op_exec_special_cuda
no_op_exec_special_accumulation
no_op_exec_special_accumulation_cuda
op_def static T op(T d1, T *params) {
return nd4j::math::nd4j_isinf<T>(d1) ? static_cast<T>(1.0f) : static_cast<T>(0.0f);
}
op_def static T startingValue(const T *input) {
return static_cast<T>(0.0f);
}
op_def static T merge(T old, T opOutput, T *extraParams) {
return opOutput + old;
}
op_def static T update(T old, T opOutput, T *extraParams) {
return opOutput + old;
}
op_def static T postProcess(T reduction, Nd4jLong n, T *extraParams) {
return reduction;
}
};
template<typename T>
class IsInfOrNan{
public:
no_op_exec_special
no_op_exec_special_cuda
no_op_exec_special_accumulation
no_op_exec_special_accumulation_cuda
op_def static T op(T d1, T *params) {
return nd4j::math::nd4j_isfin<T>(d1) ? static_cast<T>(0.0f) : static_cast<T>(1.0f);
}
op_def static T startingValue(const T *input) {
return static_cast<T>(0.0f);
}
op_def static T merge(T old, T opOutput, T *extraParams) {
return opOutput + old;
}
op_def static T update(T old, T opOutput, T *extraParams) {
return opOutput + old;
}
op_def static T postProcess(T reduction, Nd4jLong n, T *extraParams) {
return reduction;
}
};
template<typename T>
class IsFinite {
public:
no_op_exec_special
no_op_exec_special_cuda
no_op_exec_special_accumulation
no_op_exec_special_accumulation_cuda
op_def static T op(T d1, T *params) {
return nd4j::math::nd4j_isfin<T>(d1) ? static_cast<T>(1.0f) : static_cast<T>(0.0f);
}
op_def static T startingValue(const T *input) {
return static_cast<T>(0.0f);
}
op_def static T merge(T old, T opOutput, T *extraParams) {
return opOutput + old;
}
op_def static T update(T old, T opOutput, T *extraParams) {
return opOutput + old;
}
op_def static T postProcess(T reduction, Nd4jLong n, T *extraParams) {
return reduction;
}
};
template<typename T>
class ClipByValue {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
if (d1 > params[1])
return params[1];
else if (d1 < params[0])
return params[0];
else return d1;
}
};
template<typename T>
class Swish {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return d1 * nd4j::math::nd4j_sigmoid<T>(d1);
}
};
template<typename T>
class SwishDerivative {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
T ex = nd4j::math::nd4j_pow<T>(static_cast<T>(M_E), d1);
return (ex * (d1 + ex + static_cast<T>(1.f))) / nd4j::math::nd4j_pow<T>((ex + static_cast<T>(1.f)) , static_cast<T>(2.0f));
}
};
template<typename T>
class LogSigmoid {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return nd4j::math::nd4j_log(nd4j::math::nd4j_sigmoid<T>(d1));
}
};
template<typename T>
class LogSigmoidDerivative {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
T ex = nd4j::math::nd4j_pow<T>(M_E, d1);
return static_cast<T>(1.f) / (ex + static_cast<T>(1.f));
}
};
template<typename T>
class Sigmoid {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return nd4j::math::nd4j_sigmoid<T>(d1);
}
};
template<typename T>
class SigmoidDerivative {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return nd4j::math::nd4j_sigmoidderivative<T>(d1);
}
};
template<typename T>
class HardSigmoid {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return nd4j::math::nd4j_min<T>(static_cast<T>(1.0f), nd4j::math::nd4j_max<T>(static_cast<T>(0.0f), (static_cast<T>(0.2f)) * d1 + static_cast<T>(0.5f)));
}
};
template<typename T>
class HardSigmoidDerivative {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return d1 < static_cast<T>(-2.5f) || d1 > static_cast<T>(2.5f) ? static_cast<T>(0.0f) : static_cast<T>(0.2f);
}
};
/**
* Scale to be between a min and max
*/
template<typename T>
class SetRange {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
T min = params[0];
T max = params[1];
if (d1 >= min && d1 <= max)
return d1;
if (min == static_cast<T>(0.0f) && max == static_cast<T>(1.0f)) {
auto val = static_cast<T>(1.0f) / (static_cast<T>(1.0f) + nd4j::math::nd4j_exp<T>(-d1));
return (nd4j::math::nd4j_floor<T>(val * (max - min)) + min);
}
auto ret = (nd4j::math::nd4j_floor<T>(d1 * (max - min)) + min);
return ret;
}
};
template<typename T>
class Sin {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return nd4j::math::nd4j_sin<T>(d1);
}
};
template<typename T>
class Square {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return d1 * d1;
}
};
template<typename T>
class Sqrt {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return nd4j::math::nd4j_sqrt<T>(d1);
}
};
template<typename T>
class RSqrt {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return static_cast<T>(1.0f) / nd4j::math::nd4j_sqrt<T>(d1);
}
};
template<typename T>
class Rint {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return nd4j::math::nd4j_rint<T>(d1);
}
};
template<typename T>
class SoftPlus {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return nd4j::math::softplus<T>(d1);
}
};
template<typename T>
class Sign {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return (d1 > static_cast<T>(0.0f)) - (d1 < static_cast<T>(0.0f));
}
};
template<typename T>
class TimesOneMinus {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return d1 * (static_cast<T>(1.0f) - d1);
}
};
template<typename T>
class RationalTanh {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
// keep 2/3 as runtime variable, to match precision
auto dis = (static_cast<T>(2.0f) / static_cast<T>(3.0f)) * d1;
auto tanh = nd4j::math::nd4j_sgn<T>(dis) * (static_cast<T>(1.0f) - (static_cast<T>(1.0f) / (static_cast<T>(1.0f) + nd4j::math::nd4j_abs<T>(dis) + nd4j::math::nd4j_pow<T>(dis, static_cast<T>(2.0f)) + static_cast<T>(1.41645f) * nd4j::math::nd4j_pow<T>(dis, static_cast<T>(4.0f)) )));
return static_cast<T>(1.7159f) * tanh;
}
};
template<typename T>
class RationalTanhDerivative {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
auto dis = (static_cast<T>(2.0f) / static_cast<T>(3.0f)) * d1;
auto a = static_cast<T>(1.0f) + nd4j::math::nd4j_abs<T>(dis) + nd4j::math::nd4j_pow<T>(dis, static_cast<T>(2.)) + static_cast<T>(1.41645f) * nd4j::math::nd4j_pow<T>(dis, static_cast<T>(4.f));
auto tDeriv = (static_cast<T>(1.0f) + nd4j::math::nd4j_sign<T>(dis) * (static_cast<T>(2.0f) * dis + static_cast<T>(4.0f) * static_cast<T>(1.41645f) * nd4j::math::nd4j_pow<T>(dis, static_cast<T>(3.f)))) / (a * a);
return static_cast<T>(1.7159f) * (static_cast<T>(2.0f) / static_cast<T>(3.0f)) * tDeriv;
}
};
template<typename T>
class Tanh {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return nd4j::math::nd4j_tanh<T>(d1);
}
};
template<typename T>
class RectifiedTanh {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return nd4j::math::nd4j_max<T>(static_cast<T>(0.0f), nd4j::math::nd4j_tanh<T>(d1));
}
};
template<typename T>
class RectifiedTanhDerivative {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return d1 > static_cast<T>(0.0f) ? nd4j::math::nd4j_tanhderivative<T>(d1) : static_cast<T>(0.0f);
}
};
template<typename T>
class ATanh {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return nd4j::math::nd4j_atanh<T>(d1);
}
};
template<typename T>
class TanhDerivative {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return nd4j::math::nd4j_tanhderivative<T>(d1);
}
};
template<typename T>
class Cube {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return d1 * d1 * d1;
}
};
template<typename T>
class CubeDerivative {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return 3 * d1 * d1;
}
};
template<typename T>
class ACos {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return nd4j::math::nd4j_acos<T>(d1);
}
};
template<typename T>
class ASinh {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return nd4j::math::nd4j_asinh<T>(d1);
}
};
template<typename T>
class ASinhDerivative {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return static_cast<T>(1.f) / (nd4j::math::nd4j_sqrt(nd4j::math::nd4j_pow(d1, static_cast<T>(2.f)) + static_cast<T>(1.f)));
}
};
template<typename T>
class ACosh {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return nd4j::math::nd4j_acosh<T>(d1);
}
};
template<typename T>
class ACoshDerivative {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return static_cast<T>(1.f) / (nd4j::math::nd4j_sqrt(d1 - static_cast<T>(1.f)) * nd4j::math::nd4j_sqrt(d1 + static_cast<T>(1.f)));
}
};
template<typename T>
class Ones {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return static_cast<T>(1.0f);
}
};
template<typename T>
class SoftSign {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return nd4j::math::nd4j_softsign<T>(d1);
}
};
template<typename T>
class SoftSignDerivative {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return nd4j::math::nd4j_softsignderivative<T>(d1);
}
};
template<typename T>
class MatchCondition {
public:
no_op_exec_special
no_op_exec_special_cuda
no_op_exec_special_accumulation
no_op_exec_special_accumulation_cuda
op_def static T startingValue(const T *input) {
return static_cast<T>(0.0f);
}
op_def static T merge(T old, T opOutput, T *extraParams) {
return old + opOutput;
}
op_def static T update(T old, T opOutput, T *extraParams) {
return old + opOutput;
}
// this op return 1.0 if condition met, 0.0 otherwise
op_def static T op(T d1, T *extraParams) {
T compare = extraParams[0];
T eps = extraParams[1];
auto mode = static_cast<int>(extraParams[2]);
//nd4j_printf("value: %f; comp: %f; eps: %f; mode: %i;\n", d1, compare, eps, mode);
if (mode == 0) // equals
return nd4j::math::nd4j_abs<T>(d1 - compare) <= eps ? 1.0 : 0.0;
else if (mode == 1) // not equals
return nd4j::math::nd4j_abs<T>(d1 - compare) > eps ? 1.0 : 0.0;
else if (mode == 2) // less_than
return d1 < compare? 1.0 : 0.0;
else if (mode ==3) // greater_than
return d1 > compare? 1.0 : 0.0;
else if (mode == 4) // less_or_equals_than
return d1 <= compare? 1.0 : 0.0;
else if (mode == 5) // greater_or_equals_than
return d1 >= compare? 1.0 : 0.0;
else if (mode == 6) // abs_less_than
return nd4j::math::nd4j_abs<T>(d1) < compare? 1.0 : 0.0;
else if (mode == 7) // abs_greater_than
return nd4j::math::nd4j_abs<T>(d1) > compare? 1.0 : 0.0;
else if (mode == 8) // is inf
return nd4j::math::nd4j_isinf(d1) ? 1.0 : 0.0;
else if (mode == 9) // is nan
return nd4j::math::nd4j_isnan(d1) ? 1.0 : 0.0;
else if (mode == 10)
return (d1 == compare) ? 1.0 : 0.0;
else if (mode == 11)
return (d1 != compare) ? 1.0 : 0.0;
else if (mode == 12) // abs_greater_or_equals_than
return nd4j::math::nd4j_abs<T>(d1) >= compare? 1.0 : 0.0;
else if (mode == 13) // abs_less_or_equals_than
return nd4j::math::nd4j_abs<T>(d1) <= compare? 1.0 : 0.0;
else
printf("Undefined match condition: [%i]\n", mode);
return d1;
}
op_def static T postProcess(T reduction, Nd4jLong n, T *extraParams) {
return reduction;
}
};
template<typename T>
class ELU {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return nd4j::math::nd4j_elu<T>(d1);
}
};
template<typename T>
class ELUDerivative {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return nd4j::math::nd4j_eluderivative<T>(d1);
}
};
template<typename T>
class RELU {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return d1 < params[0] ? params[0] : d1;
}
};
template<typename T>
class RELU6 {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
T relu = d1 < params[0] ? params[0] : d1;
return relu < static_cast<T>(6.f) ? relu : static_cast<T>(6.f);
}
};
template<typename T>
class LeakyRELU {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return nd4j::math::nd4j_leakyrelu<T>(d1, params[0]);
}
};
template<typename T>
class SELU {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return d1 > static_cast<T>(0.0f) ? static_cast<T>(SELU_LAMBDA) * d1 : static_cast<T>(SELU_LAMBDA) * (static_cast<T>(SELU_ALPHA) * nd4j::math::nd4j_exp<T>(d1) - static_cast<T>(SELU_ALPHA));
}
};
template<typename T>
class SELUDerivative {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return d1 > static_cast<T>(0.0f) ? static_cast<T>(SELU_LAMBDA) : static_cast<T>(SELU_ALPHA) * static_cast<T>(SELU_LAMBDA) * nd4j::math::nd4j_exp<T>(d1);
}
};
template<typename T>
class LeakyRELUDerivative {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
if (d1 >= static_cast<T>(0.0f))
return static_cast<T>(1.0f);
else
return params[0];
}
};
template<typename T>
class ASin {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return nd4j::math::nd4j_asin<T>(d1);
}
};
template<typename T>
class Sinh {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return nd4j::math::nd4j_sinh<T>(d1);
}
};
template<typename T>
class SinhDerivative {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return nd4j::math::nd4j_cosh<T>(d1);
}
};
template<typename T>
class Cosh {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return nd4j::math::nd4j_cosh<T>(d1);
}
};
template<typename T>
class Tan {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return nd4j::math::nd4j_tan<T>(d1);
}
};
template<typename T>
class TanDerivative {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return static_cast<T>(1.0f) / nd4j::math::nd4j_pow<T>(nd4j::math::nd4j_cos<T>(d1), static_cast<T>(2.0f));
}
};
template<typename T>
class ATan {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return nd4j::math::nd4j_atan(d1);
}
};
template<typename T>
class Atan2 {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T d2, T *params) {
return nd4j::math::nd4j_atan2<T>(d2, d1);
}
};
template<typename T>
class Identity {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return d1;
}
};
template<typename T>
class Stabilize {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
T k = params[0];
if (d1 * k > static_cast<T>(- MIN_CUTFOFF))
return static_cast<T>(- MIN_CUTFOFF) / k;
else if (d1 * k < static_cast<T>(MIN_CUTFOFF))
return static_cast<T>(MIN_CUTFOFF) / k;
return d1;
}
};
template<typename T>
class Step {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return (d1 > params[0] ? static_cast<T>(1.0f) : static_cast<T>(0.0f));
}
};
template<typename T>
class OneMinus {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
return static_cast<T>(1.0f) - d1;
}
};
template<typename T>
class Sum {
public:
no_op_exec_special_accumulation
no_op_exec_special_accumulation_cuda
op_def static T startingValue(const T *input) {
return static_cast<T>(0.0f);
}
op_def static T merge(T old, T opOutput, T *extraParams) {
return opOutput + old;
}
op_def static T update(T old, T opOutput, T *extraParams) {
return opOutput + old;
}
op_def static T op(T d1, T *extraParams) {
return d1;
}
op_def static T postProcess(T reduction, Nd4jLong n, T *extraParams) {
return reduction;
}
};
template<typename T>
class ShannonEntropy {
public:
no_op_exec_special_accumulation
no_op_exec_special_accumulation_cuda
op_def static T startingValue(const T *input) {
return static_cast<T>(0.0f);
}
op_def static T merge(T old, T opOutput, T *extraParams) {
return opOutput + old;
}
op_def static T update(T old, T opOutput, T *extraParams) {
return opOutput + old;
}
op_def static T op(T d1, T *extraParams) {
return nd4j::math::nd4j_pow<T>(d1, static_cast<T>(2.0f)) * nd4j::math::nd4j_log<T>(nd4j::math::nd4j_pow<T>(d1, static_cast<T>(2.0f)));
}
op_def static T postProcess(T reduction, Nd4jLong n, T *extraParams) {
return -reduction;
}
};
template<typename T>
class LogEntropy {
public:
no_op_exec_special_accumulation
no_op_exec_special_accumulation_cuda
op_def static T startingValue(const T *input) {
return static_cast<T>(0.0f);
}
op_def static T merge(T old, T opOutput, T *extraParams) {
return opOutput + old;
}
op_def static T update(T old, T opOutput, T *extraParams) {
return opOutput + old;
}
op_def static T op(T d1, T *extraParams) {
return d1 * nd4j::math::nd4j_log<T>(d1);
}
op_def static T postProcess(T reduction, Nd4jLong n, T *extraParams) {
//entropy is -sum(p(x) * log(p(x))); log entropy is log of this
return nd4j::math::nd4j_log<T>(-reduction);
}
};
template<typename T>
class Entropy {
public:
no_op_exec_special_accumulation
no_op_exec_special_accumulation_cuda
op_def static T startingValue(const T *input) {
return static_cast<T>(0.0f);
}
op_def static T merge(T old, T opOutput, T *extraParams) {
return opOutput + old;
}
op_def static T update(T old, T opOutput, T *extraParams) {
return opOutput + old;
}
op_def static T op(T d1, T *extraParams) {
return d1 * nd4j::math::nd4j_log<T>(d1);
}
op_def static T postProcess(T reduction, Nd4jLong n, T *extraParams) {
return -reduction; //entropy is -sum(p(x) * log(p(x)))
}
};
template<typename T>
class ASum {
public:
no_op_exec_special_accumulation
no_op_exec_special_accumulation_cuda
op_def static T startingValue(const T *input) {
return static_cast<T>(0.0f);
}
op_def static T merge(T old, T opOutput, T *extraParams) {
return nd4j::math::nd4j_abs<T>(opOutput) + nd4j::math::nd4j_abs<T>(old);
}
op_def static T update(T old, T opOutput, T *extraParams) {
return nd4j::math::nd4j_abs<T>(opOutput) + nd4j::math::nd4j_abs<T>(old);
}
op_def static T op(T d1, T *extraParams) {
return nd4j::math::nd4j_abs<T>(d1);
}
op_def static T postProcess(T reduction, Nd4jLong n, T *extraParams) {
return nd4j::math::nd4j_abs<T>(reduction);
}
};
template<typename T>
class CountNonZero {
public:
no_op_exec_special_accumulation
no_op_exec_special_accumulation_cuda
op_def static T startingValue(const T *input) {
return static_cast<T>(0.0f);
}
op_def static T merge(T old, T opOutput, T *extraParams) {
return opOutput + old;
}
op_def static T update(T old, T opOutput, T *extraParams) {
return opOutput + old;
}
op_def static T op(T d1, T *extraParams) {
return d1 == static_cast<T>(0.0f) ? static_cast<T>(0.0f) : static_cast<T>(1.0f);
}
op_def static T postProcess(T reduction, Nd4jLong n, T *extraParams) {
return reduction;
}
};
template<typename T>
class CountZero {
public:
no_op_exec_special_accumulation
no_op_exec_special_accumulation_cuda
op_def static T startingValue(const T *input) {
return static_cast<T>(0.0f);
}
op_def static T merge(T old, T opOutput, T *extraParams) {
return opOutput + old;
}
op_def static T update(T old, T opOutput, T *extraParams) {
return opOutput + old;
}
op_def static T op(T d1, T *extraParams) {
return d1 == static_cast<T>(0.0f) ? static_cast<T>(1.0f) : static_cast<T>(0.0f);
}
op_def static T postProcess(T reduction, Nd4jLong n, T *extraParams) {
return reduction;
}
};
template<typename T>
class Prod {
public:
no_op_exec_special_accumulation
no_op_exec_special_accumulation_cuda
op_def static T startingValue(const T *input) {
return static_cast<T>(1.0f);
}
op_def static T merge(T old, T opOutput, T *extraParams) {
return opOutput * old;
}
op_def static T update(T old, T opOutput, T *extraParams) {
return opOutput * old;
}
op_def static T op(T d1, T *extraParams) {
return d1;
}
op_def static T postProcess(T reduction, Nd4jLong n, T *extraParams) {
return reduction;
}
};
template<typename T>
class Any {
public:
no_op_exec_special_accumulation
no_op_exec_special_accumulation_cuda
op_def static T startingValue(const T *input) {
return static_cast<T>(0.0f);
}
op_def static T merge(T old, T opOutput, T *extraParams) {
return opOutput + old;
}
op_def static T update(T old, T opOutput, T *extraParams) {
return opOutput + old;
}
op_def static T op(T d1, T *extraParams) {
return d1;
}
op_def static T postProcess(T reduction, Nd4jLong n, T *extraParams) {
return reduction > static_cast<T>(0.0f) ? static_cast<T>(1.0f) : static_cast<T>(0.0f) ;
}
};
template<typename T>
class All {
public:
no_op_exec_special_accumulation
no_op_exec_special_accumulation_cuda
op_def static T startingValue(const T *input) {
return static_cast<T>(1.0f);
}
op_def static T merge(T old, T opOutput, T *extraParams) {
return opOutput * old;
}
op_def static T update(T old, T opOutput, T *extraParams) {
return opOutput * old;
}
op_def static T op(T d1, T *extraParams) {
return d1;
}
op_def static T postProcess(T reduction, Nd4jLong n, T *extraParams) {
return reduction > static_cast<T>(0.0f) ? static_cast<T>(1.0f) : static_cast<T>(0.0f);
}
};
template<typename T>
class Mean {
public:
no_op_exec_special_accumulation
no_op_exec_special_accumulation_cuda
op_def static T startingValue(const T *input) {
return static_cast<T>(0.0f);
}
op_def static T merge(T old, T opOutput, T *extraParams) {
return opOutput + old;
}
op_def static T update(T old, T opOutput, T *extraParams) {
return opOutput + old;
}
op_def static T op(T d1, T *extraParams) {
return d1;
}
op_def static T postProcess(T reduction, Nd4jLong n, T *extraParams) {
return reduction / (int) n;
}
};
template<typename T>
class AMean {
public:
no_op_exec_special_accumulation
no_op_exec_special_accumulation_cuda
op_def static T startingValue(const T *input) {
return static_cast<T>(0.0f);
}
op_def static T merge(T old, T opOutput, T *extraParams) {
return nd4j::math::nd4j_abs<T>(opOutput) + nd4j::math::nd4j_abs<T>(old);
}
op_def static T update(T old, T opOutput, T *extraParams) {
return nd4j::math::nd4j_abs<T>(opOutput) + nd4j::math::nd4j_abs<T>(old);
}
op_def static T op(T d1, T *extraParams) {
return nd4j::math::nd4j_abs<T>(d1);
}
op_def static T postProcess(T reduction, Nd4jLong n, T *extraParams) {
return nd4j::math::nd4j_abs<T>(reduction) / static_cast<T>(n);
}
};
template<typename T>
class Max {
public:
no_op_exec_special_accumulation
no_op_exec_special_accumulation_cuda
op_def static T startingValue(const T *input) {
return input[0];
}
op_def static T merge(T old, T opOutput, T *extraParams) {
return nd4j::math::nd4j_max<T>(old, opOutput);
}
op_def static T update(T old, T opOutput, T *extraParams) {
return nd4j::math::nd4j_max<T>(opOutput, old);
}
op_def static T op(T d1, T d2, T *params) {
return nd4j::math::nd4j_max<T>(d1, d2);
}
op_def static T op(T d1, T d2) {
return nd4j::math::nd4j_max<T>(d1, d2);
}
// FIXME: this signature overlaps with MetaOp
op_def static T op(T d1, T *extraParams) {
return d1;
}
op_def static T postProcess(T reduction, Nd4jLong n, T *extraParams) {
return reduction;
}
};
template<typename T>
class AMax {
public:
no_op_exec_special_accumulation
no_op_exec_special_accumulation_cuda
op_def static T startingValue(const T *input) {
return input[0];
}
op_def static T merge(T old, T opOutput, T *extraParams) {
return nd4j::math::nd4j_max<T>(nd4j::math::nd4j_abs<T>(old), nd4j::math::nd4j_abs<T>(opOutput));
}
op_def static T update(T old, T opOutput, T *extraParams) {
return nd4j::math::nd4j_max<T>(nd4j::math::nd4j_abs<T>(opOutput), nd4j::math::nd4j_abs<T>(old));
}
op_def static T op(T d1, T d2, T *params) {
return nd4j::math::nd4j_max<T>(nd4j::math::nd4j_abs<T>(d1), nd4j::math::nd4j_abs<T>(d2));
}
op_def static T op(T d1, T d2) {
return nd4j::math::nd4j_abs<T>(d1) > nd4j::math::nd4j_abs<T>(d2) ? d1 : d2;
}
// FIXME: this signature overlaps with MetaOp
op_def static T op(T d1, T *extraParams) {
return nd4j::math::nd4j_abs<T>(d1);
}
op_def static T postProcess(T reduction, Nd4jLong n, T *extraParams) {
return nd4j::math::nd4j_abs<T>(reduction);
}
};
template<typename T>
class AMin {
public:
no_op_exec_special_accumulation
no_op_exec_special_accumulation_cuda
op_def static T startingValue(const T *input) {
return input[0];
}
op_def static T merge(T old, T opOutput, T *extraParams) {
return nd4j::math::nd4j_min<T>(nd4j::math::nd4j_abs<T>(old), nd4j::math::nd4j_abs<T>(opOutput));
}
op_def static T update(T old, T opOutput, T *extraParams) {
return nd4j::math::nd4j_min<T>(nd4j::math::nd4j_abs<T>(opOutput), nd4j::math::nd4j_abs<T>(old));
}
op_def static T op(T d1, T d2, T *params) {
return nd4j::math::nd4j_min(nd4j::math::nd4j_abs<T>(d1), nd4j::math::nd4j_abs<T>(d2));
}
op_def static T op(T d1, T d2) {
return nd4j::math::nd4j_abs<T>(d1) < nd4j::math::nd4j_abs<T>(d2) ? d1 : d2;
}
// FIXME: this signature overlaps with MetaOp
op_def static T op(T d1, T *extraParams) {
return nd4j::math::nd4j_abs<T>(d1);
}
op_def static T postProcess(T reduction, Nd4jLong n, T *extraParams) {
return nd4j::math::nd4j_abs<T>(reduction);
}
};
template<typename T>
class Min {
public:
no_op_exec_special_accumulation
no_op_exec_special_accumulation_cuda
op_def static T startingValue(const T *input) {
return input[0];
}
op_def static T merge(T old, T opOutput, T *extraParams) {
return nd4j::math::nd4j_min<T>(old, opOutput);
}
op_def static T update(T old, T opOutput, T *extraParams) {
return nd4j::math::nd4j_min<T>(opOutput, old);
}
op_def static T op(T d1, T d2, T *params) {
return nd4j::math::nd4j_min(d1, d2);
}
op_def static T op(T d1, T d2) {
return nd4j::math::nd4j_min(d1, d2);
}
// FIXME: this signature overlaps with MetaOp
op_def static T op(T d1, T *extraParams) {
return d1;
}
op_def static T postProcess(T reduction, Nd4jLong n, T *extraParams) {
return reduction;
}
};
template<typename T>
class Norm1 {
public:
no_op_exec_special_accumulation
no_op_exec_special_accumulation_cuda
op_def static T startingValue(const T *input) {
return static_cast<T>(0.0f);
}
op_def static T merge(T old, T opOutput, T *extraParams) {
return opOutput + old;
}
op_def static T update(T old, T opOutput, T *extraParams) {
return opOutput + old;
}
op_def static T op(T d1, T *extraParams) {
return nd4j::math::nd4j_abs<T>(d1);
}
op_def static T postProcess(T reduction, Nd4jLong n, T *extraParams) {
return reduction;
}
};
template<typename T>
class Norm2 {
public:
no_op_exec_special_accumulation
no_op_exec_special_accumulation_cuda
op_def static T startingValue(const T *input) {
return static_cast<T>(0.0f);
}
op_def static T merge(T old, T opOutput, T *extraParams) {
return opOutput + old;
}
op_def static T update(T old, T opOutput, T *extraParams) {
return opOutput + old;
}
op_def static T postProcess(T reduction, Nd4jLong n, T *extraParams) {
return nd4j::math::nd4j_sqrt<T>(reduction);
}
op_def static T op(T d1, T *extraParams) {
return d1 * d1;
}
};
template<typename T>
class SquaredNorm {
public:
no_op_exec_special_accumulation
no_op_exec_special_accumulation_cuda
op_def static T startingValue(const T *input) {
return static_cast<T>(0.0f);
}
op_def static T merge(T old, T opOutput, T *extraParams) {
return opOutput + old;
}
op_def static T update(T old, T opOutput, T *extraParams) {
return opOutput + old;
}
op_def static T op(T d1, T *extraParams) {
return d1 * d1;
}
op_def static T postProcess(T reduction, Nd4jLong n, T *extraParams) {
return reduction;
}
};
template<typename T>
class NormFrobenius {
public:
no_op_exec_special_accumulation
no_op_exec_special_accumulation_cuda
op_def static T startingValue(const T *input) {
return static_cast<T>(0.0f);
}
op_def static T merge(T old, T opOutput, T *extraParams) {
return opOutput + old;
}
op_def static T update(T old, T opOutput, T *extraParams) {
return opOutput + old;
}
op_def static T op(T d1, T *extraParams) {
T v = nd4j::math::nd4j_abs(d1);
return v * v;
}
op_def static T postProcess(T reduction, Nd4jLong n, T *extraParams) {
return nd4j::math::nd4j_sqrt<T>(reduction);
}
};
template<typename T>
class NormP {
public:
no_op_exec_special_accumulation
no_op_exec_special_accumulation_cuda
op_def static T startingValue(const T *input) {
return static_cast<T>(0.0f);
}
op_def static T merge(T old, T opOutput, T *extraParams) {
return opOutput + old;
}
op_def static T update(T old, T opOutput, T *extraParams) {
return opOutput + old;
}
op_def static T op(T d1, T *extraParams) {
return nd4j::math::nd4j_pow(nd4j::math::nd4j_abs(d1), extraParams[0]);
}
op_def static T postProcess(T reduction, Nd4jLong n, T *extraParams) {
return nd4j::math::nd4j_pow(reduction, static_cast<T>(1.0f) / extraParams[0]);
}
};
template<typename T>
class NormMax {
public:
no_op_exec_special_accumulation
no_op_exec_special_accumulation_cuda
op_def static T startingValue(const T *input) {
return static_cast<T>(0.0f);
}
op_def static T merge(T old, T opOutput, T *extraParams) {
return opOutput + old;
}
op_def static T update(T old, T opOutput, T *extraParams) {
return nd4j::math::nd4j_max<T>(nd4j::math::nd4j_abs<T>(old),
nd4j::math::nd4j_abs<T>(opOutput));
}
op_def static T op(T d1, T *extraParams) {
return d1;
}
op_def static T postProcess(T reduction, Nd4jLong n, T *extraParams) {
return nd4j::math::nd4j_max<T>(nd4j::math::nd4j_abs<T>(reduction),
nd4j::math::nd4j_abs<T>(reduction));
}
};
template<typename T>
class Variance {
public:
no_op_exec_special_accumulation
no_op_exec_special_accumulation_cuda
op_def static T startingValue(const T *input) {
return static_cast<T>(0.0f);
}
op_def static T merge(T old, T opOutput, T *extraParams) {
return old + opOutput;
}
op_def static T update(T old, T opOutput, T *extraParams) {
return old + opOutput;
}
op_def static T op(T d1, T *extraParams) {
T mean = extraParams[0];
T ret = d1 - mean;
return ret * ret;
}
op_def static T postProcess(T reduction, Nd4jLong n, T *extraParams) {
// T bias = extraParams[1];
// return (reduction - (nd4j::math::nd4j_pow<T>(bias, static_cast<T>(2.0f)) / static_cast<T>(n))) / (n - 1)
return reduction / static_cast<T>(n - 1);
}
};
/**
* Standard deviation of a buffer
*/
template<typename T>
class StandardDeviation {
public:
no_op_exec_special_accumulation
no_op_exec_special_accumulation_cuda
op_def static T startingValue(const T *input) {
return static_cast<T>(0.0f);
}
op_def static T merge(T old, T opOutput, T *extraParams) {
return old + opOutput;
}
op_def static T update(T old, T opOutput, T *extraParams) {
return old + opOutput;
}
op_def static T op(T d1, T *extraParams) {
T mean = extraParams[0];
T ret = d1 - mean;
return ret * ret;
}
op_def static T postProcess(T reduction, Nd4jLong n, T *extraParams) {
T ret = Variance<T>::postProcess(reduction, n, extraParams);
T sqrtRet = nd4j::math::nd4j_sqrt<T>(ret);
return sqrtRet;
}
};
template<typename T>
class CosineSimilarity {
public:
static const int extraParamsLen = 2;
op_def static T *generateExtraParams() {
//T *extraParams = new T[2];
return nullptr;
}
op_def static void finalizeExtraParams(T *extraParams) {
//delete[] extraParams;
}
op_def static T startingValue(T *input) {
return static_cast<T>(0.0f);
}
op_def static T postProcess(T reduction, Nd4jLong n, T *extraParams) {
return reduction / (nd4j::math::nd4j_sqrt<T>(extraParams[0]) * nd4j::math::nd4j_sqrt<T>(extraParams[1]));
}
op_def static T op(T d1, T d2, T *extraParams) {
extraParams[0] += d1 * d1;
extraParams[1] += d2 * d2;
return (d1 * d2);
}
op_def static void aggregateExtraParams(T *extraParamsTotal, T *extraParamsLocal) {
extraParamsTotal[0] += extraParamsLocal[0];
extraParamsTotal[1] += extraParamsLocal[1];
}
#ifdef __CUDACC__
static _CUDA_D inline T opAtomic(T d1, T d2, T *extraParams) {
nd4j::math::atomics::nd4j_atomicAdd(&extraParams[0],static_cast<T>(d1 * d1));
nd4j::math::atomics::nd4j_atomicAdd(&extraParams[1],static_cast<T>(d2 * d2));
return (d1 * d2);
}
#endif
op_def static T update(T old, T opOutput, T *extraParams) {
return old + opOutput;
}
op_def static T merge(T old, T opOutput, T *extraParams) {
return update(old, opOutput, extraParams);
}
};
template<typename T>
class JaccardDistance {
public:
static const int extraParamsLen = 2;
op_def static T *generateExtraParams() {
//T *extraParams = new T[2];
return nullptr;
}
op_def static void finalizeExtraParams(T *extraParams) {
//delete[] extraParams;
}
op_def static T startingValue(T *input) {
return static_cast<T>(0.0f);
}
op_def static T postProcess(T reduction, Nd4jLong n, T *extraParams) {
// num / denom
return (static_cast<T>(1.0f)) - (extraParams[0] / extraParams[1]);
}
op_def static T num(T d1, T d2) {
return nd4j::math::nd4j_min<T>(d1, d2);
}
op_def static T denom(T d1, T d2) {
return nd4j::math::nd4j_max<T>(d1, d2);
}
op_def static T op(T d1, T d2, T *extraParams) {
extraParams[0] += num(d1, d2);
extraParams[1] += denom(d1, d2);
return static_cast<T>(0.0f);
}
op_def static void aggregateExtraParams(T *extraParamsTotal, T *extraParamsLocal) {
extraParamsTotal[0] += extraParamsLocal[0];
extraParamsTotal[1] += extraParamsLocal[1];
}
#ifdef __CUDACC__
__device__
static inline T opAtomic(T d1, T d2, T *extraParams) {
nd4j::math::atomics::nd4j_atomicAdd(&extraParams[0],num(d1, d2));
nd4j::math::atomics::nd4j_atomicAdd(&extraParams[1], denom(d1, d2));
return static_cast<T>(0.0f);
}
#endif
op_def static T update(T old, T opOutput, T *extraParams) {
return old + opOutput;
}
op_def static T merge(T old, T opOutput, T *extraParams) {
return update(old, opOutput, extraParams);
}
};
template<typename T>
class SimpleHammingDistance {
public:
static const int extraParamsLen = 0;
op_def static T *generateExtraParams() {
//T *extraParams = new T[2];
return nullptr;
}
op_def static void finalizeExtraParams(T *extraParams) {
//delete[] extraParams;
}
op_def static T startingValue(T *input) {
return static_cast<T>(0.0f);
}
op_def static T postProcess(T reduction, Nd4jLong n, T *extraParams) {
return static_cast<T>(reduction / n);
}
op_def static T op(T d1, T d2, T *extraParams) {
return (d1 == d2) ? static_cast<T>(0.0f) : static_cast<T>(1.0f);
}
op_def static void aggregateExtraParams(T *extraParamsTotal, T *extraParamsLocal) {
}
#ifdef __CUDACC__
__device__
static inline T opAtomic(T d1, T d2, T *extraParams) {
return op(d1, d2, extraParams);
}
#endif
op_def static T update(T old, T opOutput, T *extraParams) {
return old + opOutput;
}
op_def static T merge(T old, T opOutput, T *extraParams) {
return update(old, opOutput, extraParams);
}
};
template<typename T>
class CosineDistance {
public:
static const int extraParamsLen = 2;
op_def static T *generateExtraParams() {
//T *extraParams = new T[2];
return nullptr;
}
op_def static void finalizeExtraParams(T *extraParams) {
//delete[] extraParams;
}
op_def static T startingValue(T *input) {
return static_cast<T>(0.0f);
}
op_def static T postProcess(T reduction, Nd4jLong n, T *extraParams) {
return (static_cast<T>(1.0f)) - (reduction / (nd4j::math::nd4j_sqrt<T>(extraParams[0]) * nd4j::math::nd4j_sqrt<T>(extraParams[1])));
}
op_def static T op(T d1, T d2, T *extraParams) {
extraParams[0] += nd4j::math::nd4j_abs<T>(d1) * nd4j::math::nd4j_abs<T>(d1);
extraParams[1] += nd4j::math::nd4j_abs<T>(d2) * nd4j::math::nd4j_abs<T>(d2);
return (d1 * d2);
}
op_def static void aggregateExtraParams(T *extraParamsTotal, T *extraParamsLocal) {
extraParamsTotal[0] += extraParamsLocal[0];
extraParamsTotal[1] += extraParamsLocal[1];
}
#ifdef __CUDACC__
static _CUDA_D inline T opAtomic(T d1, T d2, T *extraParams) {
nd4j::math::atomics::nd4j_atomicAdd(&extraParams[0], nd4j::math::nd4j_abs<T>(d1) * nd4j::math::nd4j_abs<T>(d1));
nd4j::math::atomics::nd4j_atomicAdd(&extraParams[1], nd4j::math::nd4j_abs<T>(d2) * nd4j::math::nd4j_abs<T>(d2));
return (d1 * d2);
}
#endif
op_def static T update(T old, T opOutput, T *extraParams) {
return old + opOutput;
}
op_def static T merge(T old, T opOutput, T *extraParams) {
return update(old, opOutput, extraParams);
}
};
/**
* Dot product between 2 arrays
*/
template<typename T>
class Dot {
public:
static const int extraParamsLen = 0;
op_def static T * generateExtraParams() {
return nullptr;
}
op_def static void finalizeExtraParams(T *extraParamsRef) {
//no-op
//delete[] * extraParamsRef;
}
op_def static T startingValue(T *input) {
return static_cast<T>(0.0f);
}
op_def static T postProcess(T reduction, Nd4jLong n, T *extraParamsRef) {
return reduction;
}
op_def static T op(T d1, T d2, T *extraParamsRef) {
return d1 * d2;
}
#ifdef __CUDACC__
__device__
static inline T opAtomic(T d1, T d2, T *extraParamsRef) {
return op(d1, d2, extraParamsRef);
}
#endif
op_def static T update(T old, T opOutput, T *extraParamsRef) {
return opOutput + old;
}
op_def static T merge(T old, T opOutput, T *extraParamsRef) {
return update(old, opOutput, extraParamsRef);
}
op_def static void aggregateExtraParams(T *extraParamsTotal, T *extraParamsLocal) {}
};
/**
* Op to check equality within arrays
*/
template<typename T>
class EqualsWithEps {
public:
static const int extraParamsLen = 0;
op_def static T * generateExtraParams() {
return nullptr;
}
op_def static void finalizeExtraParams(T *extraParamsRef) {
//no-op
}
op_def static T startingValue(T *input) {
return static_cast<T>(0.0f);
}
op_def static T postProcess(T reduction, Nd4jLong n, T *extraParamsRef) {
return reduction;
}
op_def static T op(T d1, T d2, T *extraParamsRef) {
T eps = extraParamsRef[2];
T diff = nd4j::math::nd4j_abs<T>(d1 - d2);
// works well except in the range of very large numbers
if (diff <= eps)
return static_cast<T>(0.f);
// Knuth approach
// works well except in the range of very small numbers
if (diff <= nd4j::math::nd4j_max(nd4j::math::nd4j_abs(d1), nd4j::math::nd4j_abs(d2)) * eps)
return static_cast<T>(0.f);
return static_cast<T>(1.f);
}
#ifdef __CUDACC__
__device__
static inline T opAtomic(T d1, T d2, T *extraParamsRef) {
return op(d1, d2, extraParamsRef);
}
#endif
op_def static T update(T old, T opOutput, T *extraParamsRef) {
return opOutput + old;
}
op_def static T merge(T old, T opOutput, T *extraParamsRef) {
return update(old, opOutput, extraParamsRef);
}
op_def static void aggregateExtraParams(T *extraParamsTotal, T *extraParamsLocal) {}
};
template<typename T>
class EuclideanDistance {
public:
static const int extraParamsLen = 0;
op_def static T * generateExtraParams() {
return nullptr;
}
op_def static void finalizeExtraParams(T *extraParamsRef) {
//no-op
}
op_def static T startingValue(T *input) {
return static_cast<T>(0.0f);
}
op_def static T postProcess(T reduction, Nd4jLong n, T *extraParamsRef) {
return nd4j::math::nd4j_sqrt<T>(reduction);
}
op_def static T op(T d1, T d2, T *extraParamsRef) {
T ret = d1 - d2;
return ret * ret;
}
#ifdef __CUDACC__
__device__
static inline T opAtomic(T d1, T d2, T *extraParamsRef) {
return op(d1, d2, extraParamsRef);
}
#endif
op_def static T update(T old, T opOutput, T *extraParamsRef) {
return opOutput + old;
}
op_def static T merge(T old, T opOutput, T *extraParamsRef) {
return update(old, opOutput, extraParamsRef);
}
op_def static void aggregateExtraParams(T *extraParamsTotal, T *extraParamsLocal) {}
};
template<typename T>
class ManhattanDistance {
public:
static const int extraParamsLen = 0;
op_def static T * generateExtraParams() {
return nullptr;
}
op_def static void finalizeExtraParams(T *extraParamsRef) {
//no-op
}
op_def static T startingValue(T *input) {
return static_cast<T>(0.0f);
}
op_def static T postProcess(T reduction, Nd4jLong n, T *extraParamsRef) {
return reduction;
}
op_def static T op(T d1, T d2, T *extraParamsRef) {
return nd4j::math::nd4j_abs<T>(d1 - d2);
}
op_def static T update(T old, T opOutput, T *extraParamsRef) {
return old + opOutput;
}
op_def static void aggregateExtraParams(T *extraParamsTotal, T *extraParamsLocal) {
}
#ifdef __CUDACC__
__device__
static inline T opAtomic(T d1, T d2, T *extraParamsRef) {
return op(d1, d2, extraParamsRef);
}
#endif
#ifndef __clang__
#pragma omp declare simd uniform(extraParamsRef)
#endif
op_def static T merge(T old, T opOutput, T *extraParamsRef) {
return update(old, opOutput, extraParamsRef);
}
};
template<typename T>
class IndexAbsoluteMax {
public:
#ifdef __CUDACC__
__host__ __device__
#endif
static inline functions::indexreduce::IndexValue<T> op(functions::indexreduce::IndexValue<T> val, T *extraParams) {
return nd4j::math::nd4j_abs<T>(val);
}
#ifdef __CUDACC__
__host__ __device__
#endif
static inline functions::indexreduce::IndexValue<T> update(
functions::indexreduce::IndexValue<T> old,
functions::indexreduce::IndexValue<T> opOutput, T *extraParams) {
opOutput.value = nd4j::math::nd4j_abs<T>(opOutput.value);
old.value = nd4j::math::nd4j_abs<T>(old.value);
if (opOutput.value > old.value)
return opOutput;
#ifdef __CUDACC__
// workaround for cuda race condition at merge phase
else if (opOutput.value == old.value && opOutput.index < old.index)
return opOutput;
#elif defined(__GNUC__)
#endif
return old;
}
#ifdef __CUDACC__
__host__ __device__
#endif
static inline functions::indexreduce::IndexValue<T> merge(
functions::indexreduce::IndexValue<T> f1,
functions::indexreduce::IndexValue<T> f2, T *extraParams) {
if (nd4j::math::nd4j_abs<T>(f1.value) > nd4j::math::nd4j_abs<T>(f2.value))
return f2;
return f1;
}
#ifdef __CUDACC__
__host__ __device__
#endif
static inline functions::indexreduce::IndexValue<T> postProcess(
functions::indexreduce::IndexValue<T> reduction, int n, int xOffset,
T *dx, int incx, T *extraParams, T *result) {
return reduction;
}
#ifdef __CUDACC__
__host__ __device__
#endif
static inline T startingValue(T *input) {
return MIN_FLOAT;
}
#ifdef __CUDACC__
__host__ __device__
#endif
static inline functions::indexreduce::IndexValue<T> startingIndexValue(T *input) {
functions::indexreduce::IndexValue<T> local;
local.value = startingValue(input);
local.index = 0;
return local;
}
#ifdef __CUDACC__
__host__ __device__
#endif
static inline functions::indexreduce::IndexValue<T> op(functions::indexreduce::IndexValue<T> d1,
functions::indexreduce::IndexValue<T> d2, T *extraParams) {
return d1;
}
};
template<typename T>
class FirstIndex {
public:
#ifdef __CUDACC__
__host__ __device__
#endif
static inline functions::indexreduce::IndexValue<T> op(functions::indexreduce::IndexValue<T> val, T *extraParams) {
return val;
}
#ifdef __CUDACC__
__host__ __device__
#endif
static functions::indexreduce::IndexValue<T> update(
functions::indexreduce::IndexValue<T> old,
functions::indexreduce::IndexValue<T> opOutput, T *extraParams) {
#ifdef __CUDACC__
if (opOutput.index < 0)
return old;
#endif
T res = simdOps::MatchCondition<T>::op(opOutput.value, extraParams);
//printf("res: %f; oldIdx: %i; newIdx: %i\n", res, old.index, opOutput.index);
if (res == static_cast<T>(0.0f))
return old;
if (old.index < 0)
return opOutput;
if (old.index > opOutput.index)
return opOutput;
return old;
}
#ifdef __CUDACC__
__host__ __device__
#endif
static inline T startingValue(T *input) {
return - nd4j::DataTypeUtils::max<T>();
}
#ifdef __CUDACC__
__host__ __device__
#endif
static inline functions::indexreduce::IndexValue<T> startingIndexValue(T *input) {
functions::indexreduce::IndexValue<T> local;
local.value = startingValue(input);
local.index = -1;
return local;
}
#ifdef __CUDACC__
__host__ __device__
#endif
static inline functions::indexreduce::IndexValue<T> op(functions::indexreduce::IndexValue<T> d1,
functions::indexreduce::IndexValue<T> d2, T *extraParams) {
return d1;
}
#ifdef __CUDACC__
__host__ __device__
#endif
static inline functions::indexreduce::IndexValue<T> merge(
functions::indexreduce::IndexValue<T> f1,
functions::indexreduce::IndexValue<T> f2, T *extraParams) {
if (f1.index > f2.index)
return f2;
return f1;
}
#ifdef __CUDACC__
__host__ __device__
#endif
static inline functions::indexreduce::IndexValue<T> postProcess(
functions::indexreduce::IndexValue<T> reduction, int n, int xOffset,
T *dx, int incx, T *extraParams, T *result) {
return reduction;
}
};
template<typename T>
class LastIndex {
public:
#ifdef __CUDACC__
__host__ __device__
#endif
static inline functions::indexreduce::IndexValue<T> op(functions::indexreduce::IndexValue<T> val, T *extraParams) {
return val;
}
#ifdef __CUDACC__
__host__ __device__
#endif
static functions::indexreduce::IndexValue<T> update(
functions::indexreduce::IndexValue<T> old,
functions::indexreduce::IndexValue<T> opOutput, T *extraParams) {
#ifdef __CUDACC__
if (opOutput.index < 0)
return old;
#endif
T res = simdOps::MatchCondition<T>::op(opOutput.value, extraParams);
if (res == static_cast<T>(0.0f))
return old;
if (old.index < 0)
return opOutput;
if (old.index < opOutput.index)
return opOutput;
return old;
}
#ifdef __CUDACC__
__host__ __device__
#endif
static inline T startingValue(T *input) {
return -nd4j::DataTypeUtils::max<T>();
}
#ifdef __CUDACC__
__host__ __device__
#endif
static inline functions::indexreduce::IndexValue<T> startingIndexValue(T *input) {
functions::indexreduce::IndexValue<T> local;
local.value = startingValue(input);
local.index = -1;
return local;
}
#ifdef __CUDACC__
__host__ __device__
#endif
static inline functions::indexreduce::IndexValue<T> op(functions::indexreduce::IndexValue<T> d1,
functions::indexreduce::IndexValue<T> d2, T *extraParams) {
return d1;
}
#ifdef __CUDACC__
__host__ __device__
#endif
static inline functions::indexreduce::IndexValue<T> merge(
functions::indexreduce::IndexValue<T> f1,
functions::indexreduce::IndexValue<T> f2, T *extraParams) {
if (f1.index < f2.index)
return f2;
return f1;
}
#ifdef __CUDACC__
__host__ __device__
#endif
static inline functions::indexreduce::IndexValue<T> postProcess(
functions::indexreduce::IndexValue<T> reduction, int n, int xOffset,
T *dx, int incx, T *extraParams, T *result) {
return reduction;
}
};
template<typename T>
class IndexMax {
public:
#ifdef __CUDACC__
__host__ __device__
#endif
static inline functions::indexreduce::IndexValue<T> op(functions::indexreduce::IndexValue<T> val, T *extraParams) {
return val;
}
#ifdef __CUDACC__
__host__ __device__
#endif
static functions::indexreduce::IndexValue<T> update(
functions::indexreduce::IndexValue<T> old,
functions::indexreduce::IndexValue<T> opOutput, T *extraParams) {
if (opOutput.value > old.value) {
return opOutput;
}
#ifdef __CUDACC__
// workaround for cuda race condition at merge phase
else if (opOutput.value == old.value && opOutput.index < old.index)
return opOutput;
#elif defined(__GNUC__)
#endif
return old;
}
#ifdef __CUDACC__
__host__ __device__
#endif
static inline functions::indexreduce::IndexValue<T> merge(
functions::indexreduce::IndexValue<T> f1,
functions::indexreduce::IndexValue<T> f2, T *extraParams) {
if (f1.value > f2.value)
return f2;
return f1;
}
#ifdef __CUDACC__
__host__ __device__
#endif
static inline functions::indexreduce::IndexValue<T> postProcess(
functions::indexreduce::IndexValue<T> reduction, int n, int xOffset,
T *dx, int incx, T *extraParams, T *result) {
return reduction;
}
#ifdef __CUDACC__
__host__ __device__
#endif
static inline T startingValue(T *input) {
return -nd4j::DataTypeUtils::max<T>();
}
#ifdef __CUDACC__
__host__ __device__
#endif
static inline functions::indexreduce::IndexValue<T> startingIndexValue(T *input) {
functions::indexreduce::IndexValue<T> local;
local.value = startingValue(input);
local.index = 0;
return local;
}
#ifdef __CUDACC__
__host__ __device__
#endif
static inline functions::indexreduce::IndexValue<T> op(functions::indexreduce::IndexValue<T> d1,
functions::indexreduce::IndexValue<T> d2, T *extraParams) {
return d1;
}
};
template<typename T>
class IndexAbsoluteMin {
public:
#ifdef __CUDACC__
__host__ __device__
#endif
static inline functions::indexreduce::IndexValue<T> op(
functions::indexreduce::IndexValue<T> val, T *extraParams) {
return val;
}
#ifdef __CUDACC__
__host__ __device__
#endif
static inline T startingValue(T *input) {
return nd4j::DataTypeUtils::max<T>();
}
#ifdef __CUDACC__
__host__ __device__
#endif
static inline functions::indexreduce::IndexValue<T> startingIndexValue(T *input) {
functions::indexreduce::IndexValue<T> local;
local.value = startingValue(input);
local.index = 0;
return local;
}
#ifdef __CUDACC__
__host__ __device__
#endif
static inline functions::indexreduce::IndexValue<T> update(
functions::indexreduce::IndexValue<T> old,
functions::indexreduce::IndexValue<T> opOutput, T *extraParams) {
opOutput.value = nd4j::math::nd4j_abs<T>(opOutput.value);
old.value = nd4j::math::nd4j_abs<T>(old.value);
if (opOutput.value < old.value)
return opOutput;
#ifdef __CUDACC__
// workaround for cuda race condition at merge phase
else if (opOutput.value == old.value && opOutput.index < old.index)
return opOutput;
#elif defined(__GNUC__)
#endif
return old;
}
#ifdef __CUDACC__
__host__ __device__
#endif
static inline functions::indexreduce::IndexValue<T> merge(
functions::indexreduce::IndexValue<T> f1,
functions::indexreduce::IndexValue<T> f2, T *extraParams) {
if (nd4j::math::nd4j_abs<T>(f1.value) < nd4j::math::nd4j_abs<T>(f2.value))
return f2;
return f1;
}
#ifdef __CUDACC__
__host__ __device__
#endif
static inline functions::indexreduce::IndexValue<T> postProcess(
functions::indexreduce::IndexValue<T> reduction, int n, int xOffset,
T *dx, int incx, T *extraParams, T *result) {
return reduction;
}
#ifdef __CUDACC__
__host__ __device__
#endif
static inline functions::indexreduce::IndexValue<T> op(functions::indexreduce::IndexValue<T> d1,
functions::indexreduce::IndexValue<T> d2, T *extraParams) {
return d1;
}
};
template<typename T>
class IndexMin {
public:
#ifdef __CUDACC__
__host__ __device__
#endif
static inline functions::indexreduce::IndexValue<T> op(
functions::indexreduce::IndexValue<T> val, T *extraParams) {
return val;
}
#ifdef __CUDACC__
__host__ __device__
#endif
static inline T startingValue(T *input) {
return nd4j::DataTypeUtils::max<T>();
}
#ifdef __CUDACC__
__host__ __device__
#endif
static inline functions::indexreduce::IndexValue<T> startingIndexValue(T *input) {
functions::indexreduce::IndexValue<T> local;
local.value = startingValue(input);
local.index = 0;
return local;
}
#ifdef __CUDACC__
__host__ __device__
#endif
static inline functions::indexreduce::IndexValue<T> update(
functions::indexreduce::IndexValue<T> old,
functions::indexreduce::IndexValue<T> opOutput, T *extraParams) {
if (opOutput.value < old.value)
return opOutput;
#ifdef __CUDACC__
// workaround for cuda race condition at merge phase
else if (opOutput.value == old.value && opOutput.index < old.index)
return opOutput;
#elif defined(__GNUC__)
#endif
return old;
}
#ifdef __CUDACC__
__host__ __device__
#endif
static inline functions::indexreduce::IndexValue<T> merge(
functions::indexreduce::IndexValue<T> f1,
functions::indexreduce::IndexValue<T> f2, T *extraParams) {
if (f1.value < f2.value)
return f2;
return f1;
}
#ifdef __CUDACC__
__host__ __device__
#endif
static inline functions::indexreduce::IndexValue<T> postProcess(
functions::indexreduce::IndexValue<T> reduction, int n, int xOffset,
T *dx, int incx, T *extraParams, T *result) {
return reduction;
}
#ifdef __CUDACC__
__host__ __device__
#endif
static inline functions::indexreduce::IndexValue<T> op(functions::indexreduce::IndexValue<T> d1,
functions::indexreduce::IndexValue<T> d2, T *extraParams) {
return d1;
}
};
template<typename T>
class SummaryStatsVariance {
public:
static _CUDA_HD inline T getValue(const bool biasCorrected, functions::summarystats::SummaryStatsData<T> val) {
if (biasCorrected) {
T ret = val.varianceBiasCorrected();
if (ret < static_cast<T>(0.0f))
return val.variance();
return ret;
}
return val.variance();
}
static _CUDA_HD inline functions::summarystats::SummaryStatsData<T> op(functions::summarystats::SummaryStatsData<T> d1,T *extraParams) {
return d1;
}
};
template<typename T>
class SummaryStatsStandardDeviation {
public:
static _CUDA_HD inline T getValue(const bool biasCorrected, functions::summarystats::SummaryStatsData<T> val) {
if (biasCorrected) {
T ret = val.varianceBiasCorrected();
if (ret < static_cast<T>(0.0f))
return nd4j::math::nd4j_sqrt(val.variance());
else
return nd4j::math::nd4j_sqrt(ret);
}
return nd4j::math::nd4j_sqrt(val.variance());
}
static _CUDA_HD inline functions::summarystats::SummaryStatsData<T> op(functions::summarystats::SummaryStatsData<T> d1,T *extraParams) {
return d1;
}
};
template<typename T>
class DropOut {
public:
no_op_exec_special
no_op_exec_special_cuda
inline _CUDA_D static T op(T d1, T *params) {
T prob = params[0];
#ifdef __CUDACC__
T length = params[1];
T tid = gridDim.x * blockDim.x + threadIdx.x;
T rnd = nd4j::math::nd4j_abs<T>(nd4j::math::nd4j_cos<T>(static_cast<T>(clock64()) * static_cast<T>(tid) + static_cast<T>(length) * static_cast<T>(tid)));
#else
T rnd = static_cast<T>(rand() / RAND_MAX);
#endif
return rnd >= prob ? static_cast<T>(0.0f) : d1;
}
};
template<typename T>
class DropOutInverted {
public:
no_op_exec_special
no_op_exec_special_cuda
#ifdef __CUDACC__
__device__
#endif
inline static T op(T d1, T *params) {
T prob = params[0];
#ifdef __CUDACC__
T length = params[1];
T tid = gridDim.x * blockDim.x + threadIdx.x;
T rnd = nd4j::math::nd4j_abs<T>(nd4j::math::nd4j_cos<T>(static_cast<T>(clock64()) * static_cast<T>(tid) + static_cast<T>(length) * static_cast<T>(tid)));
#else
T rnd = static_cast<T>(rand() / RAND_MAX);
#endif
return rnd >= prob ? static_cast<T>(0.0f) : d1 / prob;
}
};
template<typename T>
class ReplaceNans {
public:
no_op_exec_special
no_op_exec_special_cuda
op_def static T op(T d1, T *params) {
T replacement = params[0];
return nd4j::math::nd4j_isnan(d1) ? replacement : d1 ;
}
};
// this op is used for conditional pairwise transforms only
template<typename T>
class CompareAndReplace{
public:
no_op_exec_special
no_op_exec_special_cuda
// op definition for PairWise Transform
op_def static T op(T d1, T d2, T *params) {
T compare = params[0];
T eps = params[2];
int mode = (int) params[3];
if (mode == 0) // equals
if (nd4j::math::nd4j_abs<T>(d1 - compare) <= eps)
return d2;
else
return d1;
else if (mode == 1) // not equals eps
if (nd4j::math::nd4j_abs<T>(d1 - compare) > eps)
return d2;
else
return d1;
else if (mode == 2) // less_than eps
if (d1 < compare)
return d2;
else
return d1;
else if (mode ==3) // greater_than
if (d1 > compare)
return d2;
else
return d1;
else if (mode == 4) // less_or_equals_than
if (d1 <= compare)
return d2;
else
return d1;
else if (mode == 5) // greater_or_equals_than
if (d1 >= compare)
return d2;
else
return d1;
else if (mode == 6) // abs_less_than
if (nd4j::math::nd4j_abs<T>(d1) < compare)
return d2;
else
return d1;
else if (mode == 7) // abs_greater_than
if (nd4j::math::nd4j_abs<T>(d1) > compare)
return d2;
else
return d1;
else if (mode == 8) // is inf
if (nd4j::math::nd4j_isinf(d1))
return d2;
else
return d1;
else if (mode == 9) // is nan
if (nd4j::math::nd4j_isnan(d1))
return d2;
else
return d1;
else if (mode == 10)
if (d1 == compare)
return d2;
else
return d1;
else if (mode == 11)
if (d1 != compare)
return d2;
else
return d1;
else if (mode == 12) // abs_greater_or_equals_than
if (nd4j::math::nd4j_abs<T>(d1) >= compare)
return d2;
else
return d1;
else if (mode == 13) // abs_less_or_equals_than
if (nd4j::math::nd4j_abs<T>(d1) <= compare)
return d2;
else
return d1;
else
printf("Undefined boolean operation: [%i]\n", mode);
return d1;
}
};
template<typename T>
class CompareAndSet {
public:
no_op_exec_special
no_op_exec_special_cuda
// op definition for Transform
op_def static T op(T d1, T *params) {
T compare = params[0];
T set = params[1];
T eps = params[2];
// with mode == 0 we do set if d1 equals to compare, and with mode == 1 - we go otherwise
int mode = (int) params[3];
if (mode == 0) // equals
if (nd4j::math::nd4j_abs<T>(d1 - compare) <= eps)
return set;
else
return d1;
//return nd4j::math::nd4j_abs<T>(d1 - compare) <= eps ? set : d1;
else if (mode == 1) // not equals
if (nd4j::math::nd4j_abs<T>(d1 - compare) > eps)
return set;
else
return d1;
//return nd4j::math::nd4j_abs<T>(d1 - compare) > eps ? set : d1;
else if (mode == 2) // less_than
if (d1 < compare)
return set;
else
return d1;
else if (mode ==3) // greater_than
if (d1 > compare)
return set;
else
return d1;
else if (mode == 4) // less_or_equals_than
if (d1 <= compare)
return set;
else
return d1;
else if (mode == 5) // greater_or_equals_than
if (d1 >= compare)
return set;
else
return d1;
else if (mode == 6) // abs_less_than
if (nd4j::math::nd4j_abs<T>(d1) < compare)
return set;
else
return d1;
else if (mode == 7) // abs_greater_than
if (nd4j::math::nd4j_abs<T>(d1) > compare)
return set;
else
return d1;
else if (mode == 8) // is inf
if (nd4j::math::nd4j_isinf(d1))
return set;
else
return d1;
else if (mode == 9) // is nan
if (nd4j::math::nd4j_isnan(d1))
return set;
else
return d1;
else if (mode == 10)
if (d1 == compare)
return set;
else
return d1;
else if (mode == 11)
if (d1 != compare)
return set;
else
return d1;
else if (mode == 12) // abs_greater_or_equals_than
if (nd4j::math::nd4j_abs<T>(d1) >= compare)
return set;
else
return d1;
else if (mode == 13) // abs_less_or_equals_than
if (nd4j::math::nd4j_abs<T>(d1) <= compare)
return set;
else
return d1;
else
printf("Undefined boolean operation: [%i]\n", mode);
return d1;
}
// op definition for PairWise Transform
op_def static T op(T d1, T d2, T *params) {
T compare = params[0];
T eps = params[2];
int mode = (int) params[3];
if (mode == 0) // equals
if (nd4j::math::nd4j_abs<T>(d2 - compare) <= eps)
return d2;
else
return d1;
else if (mode == 1) // not equals
if (nd4j::math::nd4j_abs<T>(d2 - compare) > eps)
return d2;
else
return d1;
else if (mode == 2) // less_than
if (d2 < compare)
return d2;
else
return d1;
else if (mode ==3) // greater_than
if (d2 > compare)
return d2;
else
return d1;
else if (mode == 4) // less_or_equals_than
if (d2 <= compare)
return d2;
else
return d1;
else if (mode == 5) // greater_or_equals_than
if (d2 >= compare)
return d2;
else
return d1;
else if (mode == 6) // abs_less_than
if (nd4j::math::nd4j_abs<T>(d2) < compare)
return d2;
else
return d1;
else if (mode == 7) // abs_greater_than
if (nd4j::math::nd4j_abs<T>(d2) > compare)
return d2;
else
return d1;
else if (mode == 8) // is inf
if (nd4j::math::nd4j_isinf(d2))
return d2;
else
return d1;
else if (mode == 9) // is nan
if (nd4j::math::nd4j_isnan(d2))
return d2;
else
return d1;
else if (mode == 10)
if (d2 == compare)
return d2;
else
return d1;
else if (mode == 11)
if (d2 != compare)
return d2;
else
return d1;
else if (mode == 12) // abs_greater_or_equals_than
if (nd4j::math::nd4j_abs<T>(d1) >= compare)
return d2;
else
return d1;
else if (mode == 13) // abs_less_or_equals_than
if (nd4j::math::nd4j_abs<T>(d1) <= compare)
return d2;
else
return d1;
else
printf("Undefined boolean operation: [%i]\n", mode);
return d1;
}
};
}
#endif
|
lu_single.c | /*--------------------------------------------------------------------
NAS Parallel Benchmarks 2.3 OpenMP C versions - LU
This benchmark is an OpenMP C version of the NPB LU code.
The OpenMP C versions are developed by RWCP and derived from the serial
Fortran versions in "NPB 2.3-serial" developed by NAS.
Permission to use, copy, distribute and modify this software for any
purpose with or without fee is hereby granted.
This software is provided "as is" without express or implied warranty.
Send comments on the OpenMP C versions to pdp-openmp@rwcp.or.jp
Information on OpenMP activities at RWCP is available at:
http://pdplab.trc.rwcp.or.jp/pdperf/Omni/
Information on NAS Parallel Benchmarks 2.3 is available at:
http://www.nas.nasa.gov/NAS/NPB/
--------------------------------------------------------------------*/
/*--------------------------------------------------------------------
Authors: S. Weeratunga
V. Venkatakrishnan
E. Barszcz
M. Yarrow
OpenMP C version: S. Satoh
--------------------------------------------------------------------*/
//#include "npb-C.h"
/*
NAS Parallel Benchmarks 2.3 OpenMP C Versions
*/
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#if defined(_OPENMP)
#include <omp.h>
#endif /* _OPENMP */
typedef int boolean;
typedef struct { double real; double imag; } dcomplex;
#define TRUE 1
#define FALSE 0
#define max(a,b) (((a) > (b)) ? (a) : (b))
#define min(a,b) (((a) < (b)) ? (a) : (b))
#define pow2(a) ((a)*(a))
#define get_real(c) c.real
#define get_imag(c) c.imag
#define cadd(c,a,b) (c.real = a.real + b.real, c.imag = a.imag + b.imag)
#define csub(c,a,b) (c.real = a.real - b.real, c.imag = a.imag - b.imag)
#define cmul(c,a,b) (c.real = a.real * b.real - a.imag * b.imag, \
c.imag = a.real * b.imag + a.imag * b.real)
#define crmul(c,a,b) (c.real = a.real * b, c.imag = a.imag * b)
extern double randlc(double *, double);
extern void vranlc(int, double *, double, double *);
extern void timer_clear(int);
extern void timer_start(int);
extern void timer_stop(int);
extern double timer_read(int);
extern void c_print_results(char *name, char cclass, int n1, int n2,
int n3, int niter, int nthreads, double t,
double mops, char *optype, int passed_verification,
char *npbversion, char *compiletime, char *cc,
char *clink, char *c_lib, char *c_inc,
char *cflags, char *clinkflags, char *rand);
/* global variables */
//#include "applu.h"
/******************/
/* default values */
/******************/
#ifndef CLASS
#define CLASS 'A'
#endif
#if CLASS == 'S'
/* CLASS = S */
/*
c This file is generated automatically by the setparams utility.
c It sets the number of processors and the classc of the NPB
c in this directory. Do not modify it by hand.
*/
/* full problem size */
#define ISIZ1 12
#define ISIZ2 12
#define ISIZ3 12
/* number of iterations and how often to print the norm */
#define ITMAX_DEFAULT 50
#define INORM_DEFAULT 50
#define DT_DEFAULT 0.5
#define CONVERTDOUBLE FALSE
#endif
#if CLASS == 'W'
/* CLASS = W */
/*
c This file is generated automatically by the setparams utility.
c It sets the number of processors and the classc of the NPB
c in this directory. Do not modify it by hand.
*/
/* full problem size */
#define ISIZ1 33
#define ISIZ2 33
#define ISIZ3 33
/* number of iterations and how often to print the norm */
#define ITMAX_DEFAULT 300
#define INORM_DEFAULT 300
#define DT_DEFAULT 1.5e-3
#define CONVERTDOUBLE FALSE
#endif
#if CLASS == 'A'
/* CLASS = A */
/*
c This file is generated automatically by the setparams utility.
c It sets the number of processors and the classc of the NPB
c in this directory. Do not modify it by hand.
*/
/* full problem size */
#define ISIZ1 64
#define ISIZ2 64
#define ISIZ3 64
/* number of iterations and how often to print the norm */
#define ITMAX_DEFAULT 250
#define INORM_DEFAULT 250
#define DT_DEFAULT 2.0
#define CONVERTDOUBLE FALSE
#endif
#if CLASS == 'B'
/* CLASS = B */
/*
c This file is generated automatically by the setparams utility.
c It sets the number of processors and the classc of the NPB
c in this directory. Do not modify it by hand.
*/
/* full problem size */
#define ISIZ1 102
#define ISIZ2 102
#define ISIZ3 102
/* number of iterations and how often to print the norm */
#define ITMAX_DEFAULT 250
#define INORM_DEFAULT 250
#define DT_DEFAULT 2.0
#define CONVERTDOUBLE FALSE
#endif
#if CLASS == 'C'
/* CLASS = C */
/*
c This file is generated automatically by the setparams utility.
c It sets the number of processors and the classc of the NPB
c in this directory. Do not modify it by hand.
*/
/* full problem size */
#define ISIZ1 162
#define ISIZ2 162
#define ISIZ3 162
/* number of iterations and how often to print the norm */
#define ITMAX_DEFAULT 250
#define INORM_DEFAULT 250
#define DT_DEFAULT 2.0
#define CONVERTDOUBLE FALSE
#endif
/*--------------------------------------------------------------------
c parameters which can be overridden in runtime config file
c isiz1,isiz2,isiz3 give the maximum size
c ipr = 1 to print out verbose information
c omega = 2.0 is correct for all classes
c tolrsd is tolerance levels for steady state residuals
c-------------------------------------------------------------------*/
#define IPR_DEFAULT 1
#define OMEGA_DEFAULT 1.2
#define TOLRSD1_DEF 1.0e-8
#define TOLRSD2_DEF 1.0e-8
#define TOLRSD3_DEF 1.0e-8
#define TOLRSD4_DEF 1.0e-8
#define TOLRSD5_DEF 1.0e-8
#define C1 1.40e+00
#define C2 0.40e+00
#define C3 1.00e-01
#define C4 1.00e+00
#define C5 1.40e+00
/*--------------------------------------------------------------------
c grid
c-------------------------------------------------------------------*/
/* common /cgcon/ */
static int nx, ny, nz;
static int nx0, ny0, nz0;
static int ist, iend;
static int jst, jend;
static int ii1, ii2;
static int ji1, ji2;
static int ki1, ki2;
static double dxi, deta, dzeta;
static double tx1, tx2, tx3;
static double ty1, ty2, ty3;
static double tz1, tz2, tz3;
/*--------------------------------------------------------------------
c dissipation
c-------------------------------------------------------------------*/
/* common /disp/ */
static double dx1, dx2, dx3, dx4, dx5;
static double dy1, dy2, dy3, dy4, dy5;
static double dz1, dz2, dz3, dz4, dz5;
static double dssp;
#define COMPILETIME "28 Oct 2014"
#define NPBVERSION "2.3"
#define CS1 "gcc"
#define CS2 "$(CC)"
#define CS3 "(none)"
#define CS4 "-I../common"
#define CS5 "-fopenmp -O2"
#define CS6 "-lm -fopenmp"
#define CS7 "randdp"
#if defined(_OPENMP)
/* for thread synchronization */
static boolean flag[ISIZ1/2*2+1];
#endif /* _OPENMP */
/* function declarations */
static void blts (int nx, int ny, int nz, int k,
double omega,
double v[ISIZ1][ISIZ2/2*2+1][ISIZ3/2*2+1][5],
double ldz[ISIZ1][ISIZ2][5][5],
double ldy[ISIZ1][ISIZ2][5][5],
double ldx[ISIZ1][ISIZ2][5][5],
double d[ISIZ1][ISIZ2][5][5],
int ist, int iend, int jst, int jend,
int nx0, int ny0 );
static void buts(int nx, int ny, int nz, int k,
double omega,
double v[ISIZ1][ISIZ2/2*2+1][ISIZ3/2*2+1][5],
double tv[ISIZ1][ISIZ2][5],
double d[ISIZ1][ISIZ2][5][5],
double udx[ISIZ1][ISIZ2][5][5],
double udy[ISIZ1][ISIZ2][5][5],
double udz[ISIZ1][ISIZ2][5][5],
int ist, int iend, int jst, int jend,
int nx0, int ny0 );
static void domain(void);
static void erhs(void);
static void error(void);
static void exact( int i, int j, int k, double u000ijk[5] );
static void jacld(int k);
static void jacu(int k);
static void l2norm (int nx0, int ny0, int nz0,
int ist, int iend,
int jst, int jend,
double v[ISIZ1][ISIZ2/2*2+1][ISIZ3/2*2+1][5],
double sum[5]);
static void pintgr(void);
static void read_input(void);
static void rhs(void);
static void setbv(void);
static void setcoeff(void);
static void setiv(void);
static void ssor(void);
static void verify(double xcr[5], double xce[5], double xci,
char *cclass, boolean *verified);
/*--------------------------------------------------------------------
c field variables and residuals
c to improve cache performance, second two dimensions padded by 1
c for even number sizes only.
c Note: corresponding array (called "v") in routines blts, buts,
c and l2norm are similarly padded
c-------------------------------------------------------------------*/
/* common /cvar/ */
static double u[ISIZ1][ISIZ2/2*2+1][ISIZ3/2*2+1][5];
static double rsd[ISIZ1][ISIZ2/2*2+1][ISIZ3/2*2+1][5];
static double frct[ISIZ1][ISIZ2/2*2+1][ISIZ3/2*2+1][5];
static double flux[ISIZ1][ISIZ2/2*2+1][ISIZ3/2*2+1][5];
/*--------------------------------------------------------------------
c output control parameters
c-------------------------------------------------------------------*/
/* common /cprcon/ */
static int ipr, inorm;
/*--------------------------------------------------------------------
c newton-raphson iteration control parameters
c-------------------------------------------------------------------*/
/* common /ctscon/ */
static int itmax, invert;
static double dt, omega, tolrsd[5], rsdnm[5], errnm[5], frc, ttotal;
/* common /cjac/ */
static double a[ISIZ1][ISIZ2][5][5];
static double b[ISIZ1][ISIZ2][5][5];
static double c[ISIZ1][ISIZ2][5][5];
static double d[ISIZ1][ISIZ2][5][5];
/*--------------------------------------------------------------------
c coefficients of the exact solution
c-------------------------------------------------------------------*/
/* common /cexact/ */
static double ce[5][13];
/*--------------------------------------------------------------------
c multi-processor common blocks
c-------------------------------------------------------------------*/
/* common /timer/ */
static double maxtime;
/*--------------------------------------------------------------------
c end of include file
c-------------------------------------------------------------------*/
/*--------------------------------------------------------------------
program applu
--------------------------------------------------------------------*/
int main(int argc, char **argv) {
/*--------------------------------------------------------------------
c
c driver for the performance evaluation of the solver for
c five coupled parabolic/elliptic partial differential equations.
c
--------------------------------------------------------------------*/
char cclass;
boolean verified;
double mflops;
int nthreads = 1;
/*--------------------------------------------------------------------
c read input data
--------------------------------------------------------------------*/
read_input();
/*--------------------------------------------------------------------
c set up domain sizes
--------------------------------------------------------------------*/
domain();
/*--------------------------------------------------------------------
c set up coefficients
--------------------------------------------------------------------*/
setcoeff();
#pragma omp parallel
{
/*--------------------------------------------------------------------
c set the boundary values for dependent variables
--------------------------------------------------------------------*/
setbv();
/*--------------------------------------------------------------------
c set the initial values for dependent variables
--------------------------------------------------------------------*/
setiv();
/*--------------------------------------------------------------------
c compute the forcing term based on prescribed exact solution
--------------------------------------------------------------------*/
erhs();
#if defined(_OPENMP)
#pragma omp master
nthreads = omp_get_num_threads();
#endif /* _OPENMP */
}
/*--------------------------------------------------------------------
c perform the SSOR iterations
--------------------------------------------------------------------*/
ssor();
/*--------------------------------------------------------------------
c compute the solution error
--------------------------------------------------------------------*/
error();
/*--------------------------------------------------------------------
c compute the surface integral
--------------------------------------------------------------------*/
pintgr();
/*--------------------------------------------------------------------
c verification test
--------------------------------------------------------------------*/
verify ( rsdnm, errnm, frc, &cclass, &verified );
mflops = (double)itmax*(1984.77*(double)nx0
*(double)ny0
*(double)nz0
-10923.3*pow2((double)( nx0+ny0+nz0 )/3.0)
+27770.9* (double)( nx0+ny0+nz0 )/3.0
-144010.0)
/ (maxtime*1000000.0);
c_print_results("LU", cclass, nx0,
ny0, nz0, itmax, nthreads,
maxtime, mflops, " floating point", verified,
NPBVERSION, COMPILETIME, CS1, CS2, CS3, CS4, CS5, CS6,
"(none)");
}
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
static void blts (int nx, int ny, int nz, int k,
double omega,
/*--------------------------------------------------------------------
c To improve cache performance, second two dimensions padded by 1
c for even number sizes only. Only needed in v.
--------------------------------------------------------------------*/
double v[ISIZ1][ISIZ2/2*2+1][ISIZ3/2*2+1][5],
double ldz[ISIZ1][ISIZ2][5][5],
double ldy[ISIZ1][ISIZ2][5][5],
double ldx[ISIZ1][ISIZ2][5][5],
double d[ISIZ1][ISIZ2][5][5],
int ist, int iend, int jst, int jend,
int nx0, int ny0 ) {
/*--------------------------------------------------------------------
c
c compute the regular-sparse, block lower triangular solution:
c
c v <-- ( L-inv ) * v
c
--------------------------------------------------------------------*/
/*--------------------------------------------------------------------
c local variables
--------------------------------------------------------------------*/
int i, j, m;
double tmp, tmp1;
double tmat[5][5];
#pragma omp for nowait schedule(static)
for (i = ist; i <= iend; i++) {
for (j = jst; j <= jend; j++) {
for (m = 0; m < 5; m++) {
v[i][j][k][m] = v[i][j][k][m]
- omega * ( ldz[i][j][m][0] * v[i][j][k-1][0]
+ ldz[i][j][m][1] * v[i][j][k-1][1]
+ ldz[i][j][m][2] * v[i][j][k-1][2]
+ ldz[i][j][m][3] * v[i][j][k-1][3]
+ ldz[i][j][m][4] * v[i][j][k-1][4] );
}
}
}
#pragma omp for nowait schedule(static)
for (i = ist; i <= iend; i++) {
#if defined(_OPENMP)
if (i != ist) {
while (flag[i-1] == 0) {
#pragma omp flush(flag)
;
}
}
if (i != iend) {
while (flag[i] == 1) {
#pragma omp flush(flag)
;
}
}
#endif /* _OPENMP */
for (j = jst; j <= jend; j++) {
for (m = 0; m < 5; m++) {
v[i][j][k][m] = v[i][j][k][m]
- omega * ( ldy[i][j][m][0] * v[i][j-1][k][0]
+ ldx[i][j][m][0] * v[i-1][j][k][0]
+ ldy[i][j][m][1] * v[i][j-1][k][1]
+ ldx[i][j][m][1] * v[i-1][j][k][1]
+ ldy[i][j][m][2] * v[i][j-1][k][2]
+ ldx[i][j][m][2] * v[i-1][j][k][2]
+ ldy[i][j][m][3] * v[i][j-1][k][3]
+ ldx[i][j][m][3] * v[i-1][j][k][3]
+ ldy[i][j][m][4] * v[i][j-1][k][4]
+ ldx[i][j][m][4] * v[i-1][j][k][4] );
}
/*--------------------------------------------------------------------
c diagonal block inversion
c
c forward elimination
--------------------------------------------------------------------*/
for (m = 0; m < 5; m++) {
tmat[m][0] = d[i][j][m][0];
tmat[m][1] = d[i][j][m][1];
tmat[m][2] = d[i][j][m][2];
tmat[m][3] = d[i][j][m][3];
tmat[m][4] = d[i][j][m][4];
}
tmp1 = 1.0 / tmat[0][0];
tmp = tmp1 * tmat[1][0];
tmat[1][1] = tmat[1][1]
- tmp * tmat[0][1];
tmat[1][2] = tmat[1][2]
- tmp * tmat[0][2];
tmat[1][3] = tmat[1][3]
- tmp * tmat[0][3];
tmat[1][4] = tmat[1][4]
- tmp * tmat[0][4];
v[i][j][k][1] = v[i][j][k][1]
- v[i][j][k][0] * tmp;
tmp = tmp1 * tmat[2][0];
tmat[2][1] = tmat[2][1]
- tmp * tmat[0][1];
tmat[2][2] = tmat[2][2]
- tmp * tmat[0][2];
tmat[2][3] = tmat[2][3]
- tmp * tmat[0][3];
tmat[2][4] = tmat[2][4]
- tmp * tmat[0][4];
v[i][j][k][2] = v[i][j][k][2]
- v[i][j][k][0] * tmp;
tmp = tmp1 * tmat[3][0];
tmat[3][1] = tmat[3][1]
- tmp * tmat[0][1];
tmat[3][2] = tmat[3][2]
- tmp * tmat[0][2];
tmat[3][3] = tmat[3][3]
- tmp * tmat[0][3];
tmat[3][4] = tmat[3][4]
- tmp * tmat[0][4];
v[i][j][k][3] = v[i][j][k][3]
- v[i][j][k][0] * tmp;
tmp = tmp1 * tmat[4][0];
tmat[4][1] = tmat[4][1]
- tmp * tmat[0][1];
tmat[4][2] = tmat[4][2]
- tmp * tmat[0][2];
tmat[4][3] = tmat[4][3]
- tmp * tmat[0][3];
tmat[4][4] = tmat[4][4]
- tmp * tmat[0][4];
v[i][j][k][4] = v[i][j][k][4]
- v[i][j][k][0] * tmp;
tmp1 = 1.0 / tmat[ 1][1];
tmp = tmp1 * tmat[ 2][1];
tmat[2][2] = tmat[2][2]
- tmp * tmat[1][2];
tmat[2][3] = tmat[2][3]
- tmp * tmat[1][3];
tmat[2][4] = tmat[2][4]
- tmp * tmat[1][4];
v[i][j][k][2] = v[i][j][k][2]
- v[i][j][k][1] * tmp;
tmp = tmp1 * tmat[3][1];
tmat[3][2] = tmat[3][2]
- tmp * tmat[1][2];
tmat[3][3] = tmat[3][3]
- tmp * tmat[1][3];
tmat[3][4] = tmat[3][4]
- tmp * tmat[1][4];
v[i][j][k][3] = v[i][j][k][3]
- v[i][j][k][1] * tmp;
tmp = tmp1 * tmat[4][1];
tmat[4][2] = tmat[4][2]
- tmp * tmat[1][2];
tmat[4][3] = tmat[4][3]
- tmp * tmat[1][3];
tmat[4][4] = tmat[4][4]
- tmp * tmat[1][4];
v[i][j][k][4] = v[i][j][k][4]
- v[i][j][k][1] * tmp;
tmp1 = 1.0 / tmat[2][2];
tmp = tmp1 * tmat[3][2];
tmat[3][3] = tmat[3][3]
- tmp * tmat[2][3];
tmat[3][4] = tmat[3][4]
- tmp * tmat[2][4];
v[i][j][k][3] = v[i][j][k][3]
- v[i][j][k][2] * tmp;
tmp = tmp1 * tmat[4][2];
tmat[4][3] = tmat[4][3]
- tmp * tmat[2][3];
tmat[4][4] = tmat[4][4]
- tmp * tmat[2][4];
v[i][j][k][4] = v[i][j][k][4]
- v[i][j][k][2] * tmp;
tmp1 = 1.0 / tmat[3][3];
tmp = tmp1 * tmat[4][3];
tmat[4][4] = tmat[4][4]
- tmp * tmat[3][4];
v[i][j][k][4] = v[i][j][k][4]
- v[i][j][k][3] * tmp;
/*--------------------------------------------------------------------
c back substitution
--------------------------------------------------------------------*/
v[i][j][k][4] = v[i][j][k][4]
/ tmat[4][4];
v[i][j][k][3] = v[i][j][k][3]
- tmat[3][4] * v[i][j][k][4];
v[i][j][k][3] = v[i][j][k][3]
/ tmat[3][3];
v[i][j][k][2] = v[i][j][k][2]
- tmat[2][3] * v[i][j][k][3]
- tmat[2][4] * v[i][j][k][4];
v[i][j][k][2] = v[i][j][k][2]
/ tmat[2][2];
v[i][j][k][1] = v[i][j][k][1]
- tmat[1][2] * v[i][j][k][2]
- tmat[1][3] * v[i][j][k][3]
- tmat[1][4] * v[i][j][k][4];
v[i][j][k][1] = v[i][j][k][1]
/ tmat[1][1];
v[i][j][k][0] = v[i][j][k][0]
- tmat[0][1] * v[i][j][k][1]
- tmat[0][2] * v[i][j][k][2]
- tmat[0][3] * v[i][j][k][3]
- tmat[0][4] * v[i][j][k][4];
v[i][j][k][0] = v[i][j][k][0]
/ tmat[0][0];
}
#if defined(_OPENMP)
if (i != ist) flag[i-1] = 0;
if (i != iend) flag[i] = 1;
#pragma omp flush(flag)
#endif /* _OPENMP */
}
}
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
static void buts(int nx, int ny, int nz, int k,
double omega,
/*--------------------------------------------------------------------
c To improve cache performance, second two dimensions padded by 1
c for even number sizes only. Only needed in v.
--------------------------------------------------------------------*/
double v[ISIZ1][ISIZ2/2*2+1][ISIZ3/2*2+1][5],
double tv[ISIZ1][ISIZ2][5],
double d[ISIZ1][ISIZ2][5][5],
double udx[ISIZ1][ISIZ2][5][5],
double udy[ISIZ1][ISIZ2][5][5],
double udz[ISIZ1][ISIZ2][5][5],
int ist, int iend, int jst, int jend,
int nx0, int ny0 ) {
/*--------------------------------------------------------------------
c
c compute the regular-sparse, block upper triangular solution:
c
c v <-- ( U-inv ) * v
c
--------------------------------------------------------------------*/
/*--------------------------------------------------------------------
c local variables
--------------------------------------------------------------------*/
int i, j, m;
double tmp, tmp1;
double tmat[5][5];
#pragma omp for nowait schedule(static)
for (i = iend; i >= ist; i--) {
for (j = jend; j >= jst; j--) {
for (m = 0; m < 5; m++) {
tv[i][j][m] =
omega * ( udz[i][j][m][0] * v[i][j][k+1][0]
+ udz[i][j][m][1] * v[i][j][k+1][1]
+ udz[i][j][m][2] * v[i][j][k+1][2]
+ udz[i][j][m][3] * v[i][j][k+1][3]
+ udz[i][j][m][4] * v[i][j][k+1][4] );
}
}
}
#pragma omp for nowait schedule(static)
for (i = iend; i >= ist; i--) {
#if defined(_OPENMP)
if (i != iend) {
while (flag[i+1] == 0) {
#pragma omp flush(flag)
;
}
}
if (i != ist) {
while (flag[i] == 1) {
#pragma omp flush(flag)
;
}
}
#endif /* _OPENMP */
for (j = jend; j >= jst; j--) {
for (m = 0; m < 5; m++) {
tv[i][j][m] = tv[i][j][m]
+ omega * ( udy[i][j][m][0] * v[i][j+1][k][0]
+ udx[i][j][m][0] * v[i+1][j][k][0]
+ udy[i][j][m][1] * v[i][j+1][k][1]
+ udx[i][j][m][1] * v[i+1][j][k][1]
+ udy[i][j][m][2] * v[i][j+1][k][2]
+ udx[i][j][m][2] * v[i+1][j][k][2]
+ udy[i][j][m][3] * v[i][j+1][k][3]
+ udx[i][j][m][3] * v[i+1][j][k][3]
+ udy[i][j][m][4] * v[i][j+1][k][4]
+ udx[i][j][m][4] * v[i+1][j][k][4] );
}
/*--------------------------------------------------------------------
c diagonal block inversion
--------------------------------------------------------------------*/
for (m = 0; m < 5; m++) {
tmat[m][0] = d[i][j][m][0];
tmat[m][1] = d[i][j][m][1];
tmat[m][2] = d[i][j][m][2];
tmat[m][3] = d[i][j][m][3];
tmat[m][4] = d[i][j][m][4];
}
tmp1 = 1.0 / tmat[0][0];
tmp = tmp1 * tmat[1][0];
tmat[1][1] = tmat[1][1]
- tmp * tmat[0][1];
tmat[1][2] = tmat[1][2]
- tmp * tmat[0][2];
tmat[1][3] = tmat[1][3]
- tmp * tmat[0][3];
tmat[1][4] = tmat[1][4]
- tmp * tmat[0][4];
tv[i][j][1] = tv[i][j][1]
- tv[i][j][0] * tmp;
tmp = tmp1 * tmat[2][0];
tmat[2][1] = tmat[2][1]
- tmp * tmat[0][1];
tmat[2][2] = tmat[2][2]
- tmp * tmat[0][2];
tmat[2][3] = tmat[2][3]
- tmp * tmat[0][3];
tmat[2][4] = tmat[2][4]
- tmp * tmat[0][4];
tv[i][j][2] = tv[i][j][2]
- tv[i][j][0] * tmp;
tmp = tmp1 * tmat[3][0];
tmat[3][1] = tmat[3][1]
- tmp * tmat[0][1];
tmat[3][2] = tmat[3][2]
- tmp * tmat[0][2];
tmat[3][3] = tmat[3][3]
- tmp * tmat[0][3];
tmat[3][4] = tmat[3][4]
- tmp * tmat[0][4];
tv[i][j][3] = tv[i][j][3]
- tv[i][j][0] * tmp;
tmp = tmp1 * tmat[4][0];
tmat[4][1] = tmat[4][1]
- tmp * tmat[0][1];
tmat[4][2] = tmat[4][2]
- tmp * tmat[0][2];
tmat[4][3] = tmat[4][3]
- tmp * tmat[0][3];
tmat[4][4] = tmat[4][4]
- tmp * tmat[0][4];
tv[i][j][4] = tv[i][j][4]
- tv[i][j][0] * tmp;
tmp1 = 1.0 / tmat[1][1];
tmp = tmp1 * tmat[2][1];
tmat[2][2] = tmat[2][2]
- tmp * tmat[1][2];
tmat[2][3] = tmat[2][3]
- tmp * tmat[1][3];
tmat[2][4] = tmat[2][4]
- tmp * tmat[1][4];
tv[i][j][2] = tv[i][j][2]
- tv[i][j][1] * tmp;
tmp = tmp1 * tmat[3][1];
tmat[3][2] = tmat[3][2]
- tmp * tmat[1][2];
tmat[3][3] = tmat[3][3]
- tmp * tmat[1][3];
tmat[3][4] = tmat[3][4]
- tmp * tmat[1][4];
tv[i][j][3] = tv[i][j][3]
- tv[i][j][1] * tmp;
tmp = tmp1 * tmat[4][1];
tmat[4][2] = tmat[4][2]
- tmp * tmat[1][2];
tmat[4][3] = tmat[4][3]
- tmp * tmat[1][3];
tmat[4][4] = tmat[4][4]
- tmp * tmat[1][4];
tv[i][j][4] = tv[i][j][4]
- tv[i][j][1] * tmp;
tmp1 = 1.0 / tmat[2][2];
tmp = tmp1 * tmat[3][2];
tmat[3][3] = tmat[3][3]
- tmp * tmat[2][3];
tmat[3][4] = tmat[3][4]
- tmp * tmat[2][4];
tv[i][j][3] = tv[i][j][3]
- tv[i][j][2] * tmp;
tmp = tmp1 * tmat[4][2];
tmat[4][3] = tmat[4][3]
- tmp * tmat[2][3];
tmat[4][4] = tmat[4][4]
- tmp * tmat[2][4];
tv[i][j][4] = tv[i][j][4]
- tv[i][j][2] * tmp;
tmp1 = 1.0 / tmat[3][3];
tmp = tmp1 * tmat[4][3];
tmat[4][4] = tmat[4][4]
- tmp * tmat[3][4];
tv[i][j][4] = tv[i][j][4]
- tv[i][j][3] * tmp;
/*--------------------------------------------------------------------
c back substitution
--------------------------------------------------------------------*/
tv[i][j][4] = tv[i][j][4]
/ tmat[4][4];
tv[i][j][3] = tv[i][j][3]
- tmat[3][4] * tv[i][j][4];
tv[i][j][3] = tv[i][j][3]
/ tmat[3][3];
tv[i][j][2] = tv[i][j][2]
- tmat[2][3] * tv[i][j][3]
- tmat[2][4] * tv[i][j][4];
tv[i][j][2] = tv[i][j][2]
/ tmat[2][2];
tv[i][j][1] = tv[i][j][1]
- tmat[1][2] * tv[i][j][2]
- tmat[1][3] * tv[i][j][3]
- tmat[1][4] * tv[i][j][4];
tv[i][j][1] = tv[i][j][1]
/ tmat[1][1];
tv[i][j][0] = tv[i][j][0]
- tmat[0][1] * tv[i][j][1]
- tmat[0][2] * tv[i][j][2]
- tmat[0][3] * tv[i][j][3]
- tmat[0][4] * tv[i][j][4];
tv[i][j][0] = tv[i][j][0]
/ tmat[0][0];
v[i][j][k][0] = v[i][j][k][0] - tv[i][j][0];
v[i][j][k][1] = v[i][j][k][1] - tv[i][j][1];
v[i][j][k][2] = v[i][j][k][2] - tv[i][j][2];
v[i][j][k][3] = v[i][j][k][3] - tv[i][j][3];
v[i][j][k][4] = v[i][j][k][4] - tv[i][j][4];
}
#if defined(_OPENMP)
if (i != iend) flag[i+1] = 0;
if (i != ist) flag[i] = 1;
#pragma omp flush(flag)
#endif /* _OPENMP */
}
}
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
static void domain(void) {
/*--------------------------------------------------------------------
c local variables
--------------------------------------------------------------------*/
nx = nx0;
ny = ny0;
nz = nz0;
/*--------------------------------------------------------------------
c check the sub-domain size
--------------------------------------------------------------------*/
if ( nx < 4 || ny < 4 || nz < 4 ) {
printf(" SUBDOMAIN SIZE IS TOO SMALL - \n"
" ADJUST PROBLEM SIZE OR NUMBER OF PROCESSORS\n"
" SO THAT NX, NY AND NZ ARE GREATER THAN OR EQUAL\n"
" TO 4 THEY ARE CURRENTLY%3d%3d%3d\n", nx, ny, nz);
exit(1);
}
if ( nx > ISIZ1 || ny > ISIZ2 || nz > ISIZ3 ) {
printf(" SUBDOMAIN SIZE IS TOO LARGE - \n"
" ADJUST PROBLEM SIZE OR NUMBER OF PROCESSORS\n"
" SO THAT NX, NY AND NZ ARE LESS THAN OR EQUAL TO \n"
" ISIZ1, ISIZ2 AND ISIZ3 RESPECTIVELY. THEY ARE\n"
" CURRENTLY%4d%4d%4d\n", nx, ny, nz);
exit(1);
}
/*--------------------------------------------------------------------
c set up the start and end in i and j extents for all processors
--------------------------------------------------------------------*/
ist = 1;
iend = nx - 2;
jst = 1;
jend = ny - 2;
}
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
static void erhs(void) {
/*--------------------------------------------------------------------
c
c compute the right hand side based on exact solution
c
--------------------------------------------------------------------*/
/*--------------------------------------------------------------------
c local variables
--------------------------------------------------------------------*/
int i, j, k, m;
int iglob, jglob;
int L1, L2;
int ist1, iend1;
int jst1, jend1;
double dsspm;
double xi, eta, zeta;
double q;
double u21, u31, u41;
double tmp;
double u21i, u31i, u41i, u51i;
double u21j, u31j, u41j, u51j;
double u21k, u31k, u41k, u51k;
double u21im1, u31im1, u41im1, u51im1;
double u21jm1, u31jm1, u41jm1, u51jm1;
double u21km1, u31km1, u41km1, u51km1;
dsspm = dssp;
#pragma omp for
for (i = 0; i < nx; i++) {
for (j = 0; j < ny; j++) {
for (k = 0; k < nz; k++) {
for (m = 0; m < 5; m++) {
frct[i][j][k][m] = 0.0;
}
}
}
}
#pragma omp for
for (i = 0; i < nx; i++) {
iglob = i;
xi = ( (double)(iglob) ) / ( nx0 - 1 );
for (j = 0; j < ny; j++) {
jglob = j;
eta = ( (double)(jglob) ) / ( ny0 - 1 );
for (k = 0; k < nz; k++) {
zeta = ( (double)(k) ) / ( nz - 1 );
for (m = 0; m < 5; m++) {
rsd[i][j][k][m] = ce[m][0]
+ ce[m][1] * xi
+ ce[m][2] * eta
+ ce[m][3] * zeta
+ ce[m][4] * xi * xi
+ ce[m][5] * eta * eta
+ ce[m][6] * zeta * zeta
+ ce[m][7] * xi * xi * xi
+ ce[m][8] * eta * eta * eta
+ ce[m][9] * zeta * zeta * zeta
+ ce[m][10] * xi * xi * xi * xi
+ ce[m][11] * eta * eta * eta * eta
+ ce[m][12] * zeta * zeta * zeta * zeta;
}
}
}
}
/*--------------------------------------------------------------------
c xi-direction flux differences
--------------------------------------------------------------------*/
L1 = 0;
L2 = nx-1;
#pragma omp for
for (i = L1; i <= L2; i++) {
for (j = jst; j <= jend; j++) {
for (k = 1; k < nz - 1; k++) {
flux[i][j][k][0] = rsd[i][j][k][1];
u21 = rsd[i][j][k][1] / rsd[i][j][k][0];
q = 0.50 * ( rsd[i][j][k][1] * rsd[i][j][k][1]
+ rsd[i][j][k][2] * rsd[i][j][k][2]
+ rsd[i][j][k][3] * rsd[i][j][k][3] )
/ rsd[i][j][k][0];
flux[i][j][k][1] = rsd[i][j][k][1] * u21 + C2 *
( rsd[i][j][k][4] - q );
flux[i][j][k][2] = rsd[i][j][k][2] * u21;
flux[i][j][k][3] = rsd[i][j][k][3] * u21;
flux[i][j][k][4] = ( C1 * rsd[i][j][k][4] - C2 * q ) * u21;
}
}
}
#pragma omp for
for (j = jst; j <= jend; j++) {
for (k = 1; k <= nz - 2; k++) {
for (i = ist; i <= iend; i++) {
for (m = 0; m < 5; m++) {
frct[i][j][k][m] = frct[i][j][k][m]
- tx2 * ( flux[i+1][j][k][m] - flux[i-1][j][k][m] );
}
}
for (i = ist; i <= L2; i++) {
tmp = 1.0 / rsd[i][j][k][0];
u21i = tmp * rsd[i][j][k][1];
u31i = tmp * rsd[i][j][k][2];
u41i = tmp * rsd[i][j][k][3];
u51i = tmp * rsd[i][j][k][4];
tmp = 1.0 / rsd[i-1][j][k][0];
u21im1 = tmp * rsd[i-1][j][k][1];
u31im1 = tmp * rsd[i-1][j][k][2];
u41im1 = tmp * rsd[i-1][j][k][3];
u51im1 = tmp * rsd[i-1][j][k][4];
flux[i][j][k][1] = (4.0/3.0) * tx3 *
( u21i - u21im1 );
flux[i][j][k][2] = tx3 * ( u31i - u31im1 );
flux[i][j][k][3] = tx3 * ( u41i - u41im1 );
flux[i][j][k][4] = 0.50 * ( 1.0 - C1*C5 )
* tx3 * ( ( u21i * u21i + u31i * u31i + u41i * u41i )
- ( u21im1*u21im1 + u31im1*u31im1 + u41im1*u41im1 ) )
+ (1.0/6.0)
* tx3 * ( u21i*u21i - u21im1*u21im1 )
+ C1 * C5 * tx3 * ( u51i - u51im1 );
}
for (i = ist; i <= iend; i++) {
frct[i][j][k][0] = frct[i][j][k][0]
+ dx1 * tx1 * ( rsd[i-1][j][k][0]
- 2.0 * rsd[i][j][k][0]
+ rsd[i+1][j][k][0] );
frct[i][j][k][1] = frct[i][j][k][1]
+ tx3 * C3 * C4 * ( flux[i+1][j][k][1] - flux[i][j][k][1] )
+ dx2 * tx1 * ( rsd[i-1][j][k][1]
- 2.0 * rsd[i][j][k][1]
+ rsd[i+1][j][k][1] );
frct[i][j][k][2] = frct[i][j][k][2]
+ tx3 * C3 * C4 * ( flux[i+1][j][k][2] - flux[i][j][k][2] )
+ dx3 * tx1 * ( rsd[i-1][j][k][2]
- 2.0 * rsd[i][j][k][2]
+ rsd[i+1][j][k][2] );
frct[i][j][k][3] = frct[i][j][k][3]
+ tx3 * C3 * C4 * ( flux[i+1][j][k][3] - flux[i][j][k][3] )
+ dx4 * tx1 * ( rsd[i-1][j][k][3]
- 2.0 * rsd[i][j][k][3]
+ rsd[i+1][j][k][3] );
frct[i][j][k][4] = frct[i][j][k][4]
+ tx3 * C3 * C4 * ( flux[i+1][j][k][4] - flux[i][j][k][4] )
+ dx5 * tx1 * ( rsd[i-1][j][k][4]
- 2.0 * rsd[i][j][k][4]
+ rsd[i+1][j][k][4] );
}
/*--------------------------------------------------------------------
c Fourth-order dissipation
--------------------------------------------------------------------*/
for (m = 0; m < 5; m++) {
frct[1][j][k][m] = frct[1][j][k][m]
- dsspm * ( + 5.0 * rsd[1][j][k][m]
- 4.0 * rsd[2][j][k][m]
+ rsd[3][j][k][m] );
frct[2][j][k][m] = frct[2][j][k][m]
- dsspm * ( - 4.0 * rsd[1][j][k][m]
+ 6.0 * rsd[2][j][k][m]
- 4.0 * rsd[3][j][k][m]
+ rsd[4][j][k][m] );
}
ist1 = 3;
iend1 = nx - 4;
for (i = ist1; i <=iend1; i++) {
for (m = 0; m < 5; m++) {
frct[i][j][k][m] = frct[i][j][k][m]
- dsspm * ( rsd[i-2][j][k][m]
- 4.0 * rsd[i-1][j][k][m]
+ 6.0 * rsd[i][j][k][m]
- 4.0 * rsd[i+1][j][k][m]
+ rsd[i+2][j][k][m] );
}
}
for (m = 0; m < 5; m++) {
frct[nx-3][j][k][m] = frct[nx-3][j][k][m]
- dsspm * ( rsd[nx-5][j][k][m]
- 4.0 * rsd[nx-4][j][k][m]
+ 6.0 * rsd[nx-3][j][k][m]
- 4.0 * rsd[nx-2][j][k][m] );
frct[nx-2][j][k][m] = frct[nx-2][j][k][m]
- dsspm * ( rsd[nx-4][j][k][m]
- 4.0 * rsd[nx-3][j][k][m]
+ 5.0 * rsd[nx-2][j][k][m] );
}
}
}
/*--------------------------------------------------------------------
c eta-direction flux differences
--------------------------------------------------------------------*/
L1 = 0;
L2 = ny-1;
#pragma omp for
for (i = ist; i <= iend; i++) {
for (j = L1; j <= L2; j++) {
for (k = 1; k <= nz - 2; k++) {
flux[i][j][k][0] = rsd[i][j][k][2];
u31 = rsd[i][j][k][2] / rsd[i][j][k][0];
q = 0.50 * ( rsd[i][j][k][1] * rsd[i][j][k][1]
+ rsd[i][j][k][2] * rsd[i][j][k][2]
+ rsd[i][j][k][3] * rsd[i][j][k][3] )
/ rsd[i][j][k][0];
flux[i][j][k][1] = rsd[i][j][k][1] * u31;
flux[i][j][k][2] = rsd[i][j][k][2] * u31 + C2 *
( rsd[i][j][k][4] - q );
flux[i][j][k][3] = rsd[i][j][k][3] * u31;
flux[i][j][k][4] = ( C1 * rsd[i][j][k][4] - C2 * q ) * u31;
}
}
}
#pragma omp for
for (i = ist; i <= iend; i++) {
for (k = 1; k <= nz - 2; k++) {
for (j = jst; j <= jend; j++) {
for (m = 0; m < 5; m++) {
frct[i][j][k][m] = frct[i][j][k][m]
- ty2 * ( flux[i][j+1][k][m] - flux[i][j-1][k][m] );
}
}
for (j = jst; j <= L2; j++) {
tmp = 1.0 / rsd[i][j][k][0];
u21j = tmp * rsd[i][j][k][1];
u31j = tmp * rsd[i][j][k][2];
u41j = tmp * rsd[i][j][k][3];
u51j = tmp * rsd[i][j][k][4];
tmp = 1.0 / rsd[i][j-1][k][0];
u21jm1 = tmp * rsd[i][j-1][k][1];
u31jm1 = tmp * rsd[i][j-1][k][2];
u41jm1 = tmp * rsd[i][j-1][k][3];
u51jm1 = tmp * rsd[i][j-1][k][4];
flux[i][j][k][1] = ty3 * ( u21j - u21jm1 );
flux[i][j][k][2] = (4.0/3.0) * ty3 *
( u31j - u31jm1 );
flux[i][j][k][3] = ty3 * ( u41j - u41jm1 );
flux[i][j][k][4] = 0.50 * ( 1.0 - C1*C5 )
* ty3 * ( ( u21j *u21j + u31j *u31j + u41j *u41j )
- ( u21jm1*u21jm1 + u31jm1*u31jm1 + u41jm1*u41jm1 ) )
+ (1.0/6.0)
* ty3 * ( u31j*u31j - u31jm1*u31jm1 )
+ C1 * C5 * ty3 * ( u51j - u51jm1 );
}
for (j = jst; j <= jend; j++) {
frct[i][j][k][0] = frct[i][j][k][0]
+ dy1 * ty1 * ( rsd[i][j-1][k][0]
- 2.0 * rsd[i][j][k][0]
+ rsd[i][j+1][k][0] );
frct[i][j][k][1] = frct[i][j][k][1]
+ ty3 * C3 * C4 * ( flux[i][j+1][k][1] - flux[i][j][k][1] )
+ dy2 * ty1 * ( rsd[i][j-1][k][1]
- 2.0 * rsd[i][j][k][1]
+ rsd[i][j+1][k][1] );
frct[i][j][k][2] = frct[i][j][k][2]
+ ty3 * C3 * C4 * ( flux[i][j+1][k][2] - flux[i][j][k][2] )
+ dy3 * ty1 * ( rsd[i][j-1][k][2]
- 2.0 * rsd[i][j][k][2]
+ rsd[i][j+1][k][2] );
frct[i][j][k][3] = frct[i][j][k][3]
+ ty3 * C3 * C4 * ( flux[i][j+1][k][3] - flux[i][j][k][3] )
+ dy4 * ty1 * ( rsd[i][j-1][k][3]
- 2.0 * rsd[i][j][k][3]
+ rsd[i][j+1][k][3] );
frct[i][j][k][4] = frct[i][j][k][4]
+ ty3 * C3 * C4 * ( flux[i][j+1][k][4] - flux[i][j][k][4] )
+ dy5 * ty1 * ( rsd[i][j-1][k][4]
- 2.0 * rsd[i][j][k][4]
+ rsd[i][j+1][k][4] );
}
/*--------------------------------------------------------------------
c fourth-order dissipation
--------------------------------------------------------------------*/
for (m = 0; m < 5; m++) {
frct[i][1][k][m] = frct[i][1][k][m]
- dsspm * ( + 5.0 * rsd[i][1][k][m]
- 4.0 * rsd[i][2][k][m]
+ rsd[i][3][k][m] );
frct[i][2][k][m] = frct[i][2][k][m]
- dsspm * ( - 4.0 * rsd[i][1][k][m]
+ 6.0 * rsd[i][2][k][m]
- 4.0 * rsd[i][3][k][m]
+ rsd[i][4][k][m] );
}
jst1 = 3;
jend1 = ny - 4;
for (j = jst1; j <= jend1; j++) {
for (m = 0; m < 5; m++) {
frct[i][j][k][m] = frct[i][j][k][m]
- dsspm * ( rsd[i][j-2][k][m]
- 4.0 * rsd[i][j-1][k][m]
+ 6.0 * rsd[i][j][k][m]
- 4.0 * rsd[i][j+1][k][m]
+ rsd[i][j+2][k][m] );
}
}
for (m = 0; m < 5; m++) {
frct[i][ny-3][k][m] = frct[i][ny-3][k][m]
- dsspm * ( rsd[i][ny-5][k][m]
- 4.0 * rsd[i][ny-4][k][m]
+ 6.0 * rsd[i][ny-3][k][m]
- 4.0 * rsd[i][ny-2][k][m] );
frct[i][ny-2][k][m] = frct[i][ny-2][k][m]
- dsspm * ( rsd[i][ny-4][k][m]
- 4.0 * rsd[i][ny-3][k][m]
+ 5.0 * rsd[i][ny-2][k][m] );
}
}
}
/*--------------------------------------------------------------------
c zeta-direction flux differences
--------------------------------------------------------------------*/
#pragma omp for
for (i = ist; i <= iend; i++) {
for (j = jst; j <= jend; j++) {
for (k = 0; k <= nz-1; k++) {
flux[i][j][k][0] = rsd[i][j][k][3];
u41 = rsd[i][j][k][3] / rsd[i][j][k][0];
q = 0.50 * ( rsd[i][j][k][1] * rsd[i][j][k][1]
+ rsd[i][j][k][2] * rsd[i][j][k][2]
+ rsd[i][j][k][3] * rsd[i][j][k][3] )
/ rsd[i][j][k][0];
flux[i][j][k][1] = rsd[i][j][k][1] * u41;
flux[i][j][k][2] = rsd[i][j][k][2] * u41;
flux[i][j][k][3] = rsd[i][j][k][3] * u41 + C2 *
( rsd[i][j][k][4] - q );
flux[i][j][k][4] = ( C1 * rsd[i][j][k][4] - C2 * q ) * u41;
}
for (k = 1; k <= nz - 2; k++) {
for (m = 0; m < 5; m++) {
frct[i][j][k][m] = frct[i][j][k][m]
- tz2 * ( flux[i][j][k+1][m] - flux[i][j][k-1][m] );
}
}
for (k = 1; k <= nz-1; k++) {
tmp = 1.0 / rsd[i][j][k][0];
u21k = tmp * rsd[i][j][k][1];
u31k = tmp * rsd[i][j][k][2];
u41k = tmp * rsd[i][j][k][3];
u51k = tmp * rsd[i][j][k][4];
tmp = 1.0 / rsd[i][j][k-1][0];
u21km1 = tmp * rsd[i][j][k-1][1];
u31km1 = tmp * rsd[i][j][k-1][2];
u41km1 = tmp * rsd[i][j][k-1][3];
u51km1 = tmp * rsd[i][j][k-1][4];
flux[i][j][k][1] = tz3 * ( u21k - u21km1 );
flux[i][j][k][2] = tz3 * ( u31k - u31km1 );
flux[i][j][k][3] = (4.0/3.0) * tz3 * ( u41k
- u41km1 );
flux[i][j][k][4] = 0.50 * ( 1.0 - C1*C5 )
* tz3 * ( ( u21k *u21k + u31k *u31k + u41k *u41k )
- ( u21km1*u21km1 + u31km1*u31km1 + u41km1*u41km1 ) )
+ (1.0/6.0)
* tz3 * ( u41k*u41k - u41km1*u41km1 )
+ C1 * C5 * tz3 * ( u51k - u51km1 );
}
for (k = 1; k <= nz - 2; k++) {
frct[i][j][k][0] = frct[i][j][k][0]
+ dz1 * tz1 * ( rsd[i][j][k+1][0]
- 2.0 * rsd[i][j][k][0]
+ rsd[i][j][k-1][0] );
frct[i][j][k][1] = frct[i][j][k][1]
+ tz3 * C3 * C4 * ( flux[i][j][k+1][1] - flux[i][j][k][1] )
+ dz2 * tz1 * ( rsd[i][j][k+1][1]
- 2.0 * rsd[i][j][k][1]
+ rsd[i][j][k-1][1] );
frct[i][j][k][2] = frct[i][j][k][2]
+ tz3 * C3 * C4 * ( flux[i][j][k+1][2] - flux[i][j][k][2] )
+ dz3 * tz1 * ( rsd[i][j][k+1][2]
- 2.0 * rsd[i][j][k][2]
+ rsd[i][j][k-1][2] );
frct[i][j][k][3] = frct[i][j][k][3]
+ tz3 * C3 * C4 * ( flux[i][j][k+1][3] - flux[i][j][k][3] )
+ dz4 * tz1 * ( rsd[i][j][k+1][3]
- 2.0 * rsd[i][j][k][3]
+ rsd[i][j][k-1][3] );
frct[i][j][k][4] = frct[i][j][k][4]
+ tz3 * C3 * C4 * ( flux[i][j][k+1][4] - flux[i][j][k][4] )
+ dz5 * tz1 * ( rsd[i][j][k+1][4]
- 2.0 * rsd[i][j][k][4]
+ rsd[i][j][k-1][4] );
}
/*--------------------------------------------------------------------
c fourth-order dissipation
--------------------------------------------------------------------*/
for (m = 0; m < 5; m++) {
frct[i][j][1][m] = frct[i][j][1][m]
- dsspm * ( + 5.0 * rsd[i][j][1][m]
- 4.0 * rsd[i][j][2][m]
+ rsd[i][j][3][m] );
frct[i][j][2][m] = frct[i][j][2][m]
- dsspm * (- 4.0 * rsd[i][j][1][m]
+ 6.0 * rsd[i][j][2][m]
- 4.0 * rsd[i][j][3][m]
+ rsd[i][j][4][m] );
}
for (k = 3; k <= nz - 4; k++) {
for (m = 0; m < 5; m++) {
frct[i][j][k][m] = frct[i][j][k][m]
- dsspm * ( rsd[i][j][k-2][m]
- 4.0 * rsd[i][j][k-1][m]
+ 6.0 * rsd[i][j][k][m]
- 4.0 * rsd[i][j][k+1][m]
+ rsd[i][j][k+2][m] );
}
}
for (m = 0; m < 5; m++) {
frct[i][j][nz-3][m] = frct[i][j][nz-3][m]
- dsspm * ( rsd[i][j][nz-5][m]
- 4.0 * rsd[i][j][nz-4][m]
+ 6.0 * rsd[i][j][nz-3][m]
- 4.0 * rsd[i][j][nz-2][m] );
frct[i][j][nz-2][m] = frct[i][j][nz-2][m]
- dsspm * ( rsd[i][j][nz-4][m]
- 4.0 * rsd[i][j][nz-3][m]
+ 5.0 * rsd[i][j][nz-2][m] );
}
}
}
}
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
static void error(void) {
/*--------------------------------------------------------------------
c
c compute the solution error
c
--------------------------------------------------------------------*/
/*--------------------------------------------------------------------
c local variables
--------------------------------------------------------------------*/
int i, j, k, m;
int iglob, jglob;
double tmp;
double u000ijk[5];
for (m = 0; m < 5; m++) {
errnm[m] = 0.0;
}
for (i = ist; i <= iend; i++) {
iglob = i;
for (j = jst; j <= jend; j++) {
jglob = j;
for (k = 1; k <= nz-2; k++) {
exact( iglob, jglob, k, u000ijk );
for (m = 0; m < 5; m++) {
tmp = ( u000ijk[m] - u[i][j][k][m] );
errnm[m] = errnm[m] + tmp *tmp;
}
}
}
}
for (m = 0; m < 5; m++) {
errnm[m] = sqrt ( errnm[m] / ( (nx0-2)*(ny0-2)*(nz0-2) ) );
}
}
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
static void exact( int i, int j, int k, double u000ijk[5] ) {
/*--------------------------------------------------------------------
c
c compute the exact solution at (i,j,k)
c
--------------------------------------------------------------------*/
/*--------------------------------------------------------------------
c local variables
--------------------------------------------------------------------*/
int m;
double xi, eta, zeta;
xi = ((double)i) / (nx0 - 1);
eta = ((double)j) / (ny0 - 1);
zeta = ((double)k) / (nz - 1);
for (m = 0; m < 5; m++) {
u000ijk[m] = ce[m][0]
+ ce[m][1] * xi
+ ce[m][2] * eta
+ ce[m][3] * zeta
+ ce[m][4] * xi * xi
+ ce[m][5] * eta * eta
+ ce[m][6] * zeta * zeta
+ ce[m][7] * xi * xi * xi
+ ce[m][8] * eta * eta * eta
+ ce[m][9] * zeta * zeta * zeta
+ ce[m][10] * xi * xi * xi * xi
+ ce[m][11] * eta * eta * eta * eta
+ ce[m][12] * zeta * zeta * zeta * zeta;
}
}
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
static void jacld(int k) {
/*--------------------------------------------------------------------
c compute the lower triangular part of the jacobian matrix
--------------------------------------------------------------------*/
/*--------------------------------------------------------------------
c local variables
--------------------------------------------------------------------*/
int i, j;
double r43;
double c1345;
double c34;
double tmp1, tmp2, tmp3;
r43 = ( 4.0 / 3.0 );
c1345 = C1 * C3 * C4 * C5;
c34 = C3 * C4;
#pragma omp for nowait schedule(static)
for (i = ist; i <= iend; i++) {
for (j = jst; j <= jend; j++) {
/*--------------------------------------------------------------------
c form the block daigonal
--------------------------------------------------------------------*/
tmp1 = 1.0 / u[i][j][k][0];
tmp2 = tmp1 * tmp1;
tmp3 = tmp1 * tmp2;
d[i][j][0][0] = 1.0
+ dt * 2.0 * ( tx1 * dx1
+ ty1 * dy1
+ tz1 * dz1 );
d[i][j][0][1] = 0.0;
d[i][j][0][2] = 0.0;
d[i][j][0][3] = 0.0;
d[i][j][0][4] = 0.0;
d[i][j][1][0] = dt * 2.0
* ( tx1 * ( - r43 * c34 * tmp2 * u[i][j][k][1] )
+ ty1 * ( - c34 * tmp2 * u[i][j][k][1] )
+ tz1 * ( - c34 * tmp2 * u[i][j][k][1] ) );
d[i][j][1][1] = 1.0
+ dt * 2.0
* ( tx1 * r43 * c34 * tmp1
+ ty1 * c34 * tmp1
+ tz1 * c34 * tmp1 )
+ dt * 2.0 * ( tx1 * dx2
+ ty1 * dy2
+ tz1 * dz2 );
d[i][j][1][2] = 0.0;
d[i][j][1][3] = 0.0;
d[i][j][1][4] = 0.0;
d[i][j][2][0] = dt * 2.0
* ( tx1 * ( - c34 * tmp2 * u[i][j][k][2] )
+ ty1 * ( - r43 * c34 * tmp2 * u[i][j][k][2] )
+ tz1 * ( - c34 * tmp2 * u[i][j][k][2] ) );
d[i][j][2][1] = 0.0;
d[i][j][2][2] = 1.0
+ dt * 2.0
* ( tx1 * c34 * tmp1
+ ty1 * r43 * c34 * tmp1
+ tz1 * c34 * tmp1 )
+ dt * 2.0 * ( tx1 * dx3
+ ty1 * dy3
+ tz1 * dz3 );
d[i][j][2][3] = 0.0;
d[i][j][2][4] = 0.0;
d[i][j][3][0] = dt * 2.0
* ( tx1 * ( - c34 * tmp2 * u[i][j][k][3] )
+ ty1 * ( - c34 * tmp2 * u[i][j][k][3] )
+ tz1 * ( - r43 * c34 * tmp2 * u[i][j][k][3] ) );
d[i][j][3][1] = 0.0;
d[i][j][3][2] = 0.0;
d[i][j][3][3] = 1.0
+ dt * 2.0
* ( tx1 * c34 * tmp1
+ ty1 * c34 * tmp1
+ tz1 * r43 * c34 * tmp1 )
+ dt * 2.0 * ( tx1 * dx4
+ ty1 * dy4
+ tz1 * dz4 );
d[i][j][3][4] = 0.0;
d[i][j][4][0] = dt * 2.0
* ( tx1 * ( - ( r43*c34 - c1345 ) * tmp3 * ( pow2(u[i][j][k][1]) )
- ( c34 - c1345 ) * tmp3 * ( pow2(u[i][j][k][2]) )
- ( c34 - c1345 ) * tmp3 * ( pow2(u[i][j][k][3]) )
- ( c1345 ) * tmp2 * u[i][j][k][4] )
+ ty1 * ( - ( c34 - c1345 ) * tmp3 * ( pow2(u[i][j][k][1]) )
- ( r43*c34 - c1345 ) * tmp3 * ( pow2(u[i][j][k][2]) )
- ( c34 - c1345 ) * tmp3 * ( pow2(u[i][j][k][3]) )
- ( c1345 ) * tmp2 * u[i][j][k][4] )
+ tz1 * ( - ( c34 - c1345 ) * tmp3 * ( pow2(u[i][j][k][1]) )
- ( c34 - c1345 ) * tmp3 * ( pow2(u[i][j][k][2]) )
- ( r43*c34 - c1345 ) * tmp3 * ( pow2(u[i][j][k][3]) )
- ( c1345 ) * tmp2 * u[i][j][k][4] ) );
d[i][j][4][1] = dt * 2.0
* ( tx1 * ( r43*c34 - c1345 ) * tmp2 * u[i][j][k][1]
+ ty1 * ( c34 - c1345 ) * tmp2 * u[i][j][k][1]
+ tz1 * ( c34 - c1345 ) * tmp2 * u[i][j][k][1] );
d[i][j][4][2] = dt * 2.0
* ( tx1 * ( c34 - c1345 ) * tmp2 * u[i][j][k][2]
+ ty1 * ( r43*c34 -c1345 ) * tmp2 * u[i][j][k][2]
+ tz1 * ( c34 - c1345 ) * tmp2 * u[i][j][k][2] );
d[i][j][4][3] = dt * 2.0
* ( tx1 * ( c34 - c1345 ) * tmp2 * u[i][j][k][3]
+ ty1 * ( c34 - c1345 ) * tmp2 * u[i][j][k][3]
+ tz1 * ( r43*c34 - c1345 ) * tmp2 * u[i][j][k][3] );
d[i][j][4][4] = 1.0
+ dt * 2.0 * ( tx1 * c1345 * tmp1
+ ty1 * c1345 * tmp1
+ tz1 * c1345 * tmp1 )
+ dt * 2.0 * ( tx1 * dx5
+ ty1 * dy5
+ tz1 * dz5 );
/*--------------------------------------------------------------------
c form the first block sub-diagonal
--------------------------------------------------------------------*/
tmp1 = 1.0 / u[i][j][k-1][0];
tmp2 = tmp1 * tmp1;
tmp3 = tmp1 * tmp2;
a[i][j][0][0] = - dt * tz1 * dz1;
a[i][j][0][1] = 0.0;
a[i][j][0][2] = 0.0;
a[i][j][0][3] = - dt * tz2;
a[i][j][0][4] = 0.0;
a[i][j][1][0] = - dt * tz2
* ( - ( u[i][j][k-1][1]*u[i][j][k-1][3] ) * tmp2 )
- dt * tz1 * ( - c34 * tmp2 * u[i][j][k-1][1] );
a[i][j][1][1] = - dt * tz2 * ( u[i][j][k-1][3] * tmp1 )
- dt * tz1 * c34 * tmp1
- dt * tz1 * dz2 ;
a[i][j][1][2] = 0.0;
a[i][j][1][3] = - dt * tz2 * ( u[i][j][k-1][1] * tmp1 );
a[i][j][1][4] = 0.0;
a[i][j][2][0] = - dt * tz2
* ( - ( u[i][j][k-1][2]*u[i][j][k-1][3] ) * tmp2 )
- dt * tz1 * ( - c34 * tmp2 * u[i][j][k-1][2] );
a[i][j][2][1] = 0.0;
a[i][j][2][2] = - dt * tz2 * ( u[i][j][k-1][3] * tmp1 )
- dt * tz1 * ( c34 * tmp1 )
- dt * tz1 * dz3;
a[i][j][2][3] = - dt * tz2 * ( u[i][j][k-1][2] * tmp1 );
a[i][j][2][4] = 0.0;
a[i][j][3][0] = - dt * tz2
* ( - ( u[i][j][k-1][3] * tmp1 ) *( u[i][j][k-1][3] * tmp1 )
+ 0.50 * C2
* ( ( u[i][j][k-1][1] * u[i][j][k-1][1]
+ u[i][j][k-1][2] * u[i][j][k-1][2]
+ u[i][j][k-1][3] * u[i][j][k-1][3] ) * tmp2 ) )
- dt * tz1 * ( - r43 * c34 * tmp2 * u[i][j][k-1][3] );
a[i][j][3][1] = - dt * tz2
* ( - C2 * ( u[i][j][k-1][1] * tmp1 ) );
a[i][j][3][2] = - dt * tz2
* ( - C2 * ( u[i][j][k-1][2] * tmp1 ) );
a[i][j][3][3] = - dt * tz2 * ( 2.0 - C2 )
* ( u[i][j][k-1][3] * tmp1 )
- dt * tz1 * ( r43 * c34 * tmp1 )
- dt * tz1 * dz4;
a[i][j][3][4] = - dt * tz2 * C2;
a[i][j][4][0] = - dt * tz2
* ( ( C2 * ( u[i][j][k-1][1] * u[i][j][k-1][1]
+ u[i][j][k-1][2] * u[i][j][k-1][2]
+ u[i][j][k-1][3] * u[i][j][k-1][3] ) * tmp2
- C1 * ( u[i][j][k-1][4] * tmp1 ) )
* ( u[i][j][k-1][3] * tmp1 ) )
- dt * tz1
* ( - ( c34 - c1345 ) * tmp3 * (u[i][j][k-1][1]*u[i][j][k-1][1])
- ( c34 - c1345 ) * tmp3 * (u[i][j][k-1][2]*u[i][j][k-1][2])
- ( r43*c34 - c1345 )* tmp3 * (u[i][j][k-1][3]*u[i][j][k-1][3])
- c1345 * tmp2 * u[i][j][k-1][4] );
a[i][j][4][1] = - dt * tz2
* ( - C2 * ( u[i][j][k-1][1]*u[i][j][k-1][3] ) * tmp2 )
- dt * tz1 * ( c34 - c1345 ) * tmp2 * u[i][j][k-1][1];
a[i][j][4][2] = - dt * tz2
* ( - C2 * ( u[i][j][k-1][2]*u[i][j][k-1][3] ) * tmp2 )
- dt * tz1 * ( c34 - c1345 ) * tmp2 * u[i][j][k-1][2];
a[i][j][4][3] = - dt * tz2
* ( C1 * ( u[i][j][k-1][4] * tmp1 )
- 0.50 * C2
* ( ( u[i][j][k-1][1]*u[i][j][k-1][1]
+ u[i][j][k-1][2]*u[i][j][k-1][2]
+ 3.0*u[i][j][k-1][3]*u[i][j][k-1][3] ) * tmp2 ) )
- dt * tz1 * ( r43*c34 - c1345 ) * tmp2 * u[i][j][k-1][3];
a[i][j][4][4] = - dt * tz2
* ( C1 * ( u[i][j][k-1][3] * tmp1 ) )
- dt * tz1 * c1345 * tmp1
- dt * tz1 * dz5;
/*--------------------------------------------------------------------
c form the second block sub-diagonal
--------------------------------------------------------------------*/
tmp1 = 1.0 / u[i][j-1][k][0];
tmp2 = tmp1 * tmp1;
tmp3 = tmp1 * tmp2;
b[i][j][0][0] = - dt * ty1 * dy1;
b[i][j][0][1] = 0.0;
b[i][j][0][2] = - dt * ty2;
b[i][j][0][3] = 0.0;
b[i][j][0][4] = 0.0;
b[i][j][1][0] = - dt * ty2
* ( - ( u[i][j-1][k][1]*u[i][j-1][k][2] ) * tmp2 )
- dt * ty1 * ( - c34 * tmp2 * u[i][j-1][k][1] );
b[i][j][1][1] = - dt * ty2 * ( u[i][j-1][k][2] * tmp1 )
- dt * ty1 * ( c34 * tmp1 )
- dt * ty1 * dy2;
b[i][j][1][2] = - dt * ty2 * ( u[i][j-1][k][1] * tmp1 );
b[i][j][1][3] = 0.0;
b[i][j][1][4] = 0.0;
b[i][j][2][0] = - dt * ty2
* ( - ( u[i][j-1][k][2] * tmp1 ) *( u[i][j-1][k][2] * tmp1 )
+ 0.50 * C2 * ( ( u[i][j-1][k][1] * u[i][j-1][k][1]
+ u[i][j-1][k][2] * u[i][j-1][k][2]
+ u[i][j-1][k][3] * u[i][j-1][k][3] )
* tmp2 ) )
- dt * ty1 * ( - r43 * c34 * tmp2 * u[i][j-1][k][2] );
b[i][j][2][1] = - dt * ty2
* ( - C2 * ( u[i][j-1][k][1] * tmp1 ) );
b[i][j][2][2] = - dt * ty2 * ( ( 2.0 - C2 )
* ( u[i][j-1][k][2] * tmp1 ) )
- dt * ty1 * ( r43 * c34 * tmp1 )
- dt * ty1 * dy3;
b[i][j][2][3] = - dt * ty2
* ( - C2 * ( u[i][j-1][k][3] * tmp1 ) );
b[i][j][2][4] = - dt * ty2 * C2;
b[i][j][3][0] = - dt * ty2
* ( - ( u[i][j-1][k][2]*u[i][j-1][k][3] ) * tmp2 )
- dt * ty1 * ( - c34 * tmp2 * u[i][j-1][k][3] );
b[i][j][3][1] = 0.0;
b[i][j][3][2] = - dt * ty2 * ( u[i][j-1][k][3] * tmp1 );
b[i][j][3][3] = - dt * ty2 * ( u[i][j-1][k][2] * tmp1 )
- dt * ty1 * ( c34 * tmp1 )
- dt * ty1 * dy4;
b[i][j][3][4] = 0.0;
b[i][j][4][0] = - dt * ty2
* ( ( C2 * ( u[i][j-1][k][1] * u[i][j-1][k][1]
+ u[i][j-1][k][2] * u[i][j-1][k][2]
+ u[i][j-1][k][3] * u[i][j-1][k][3] ) * tmp2
- C1 * ( u[i][j-1][k][4] * tmp1 ) )
* ( u[i][j-1][k][2] * tmp1 ) )
- dt * ty1
* ( - ( c34 - c1345 )*tmp3*(pow2(u[i][j-1][k][1]))
- ( r43*c34 - c1345 )*tmp3*(pow2(u[i][j-1][k][2]))
- ( c34 - c1345 )*tmp3*(pow2(u[i][j-1][k][3]))
- c1345*tmp2*u[i][j-1][k][4] );
b[i][j][4][1] = - dt * ty2
* ( - C2 * ( u[i][j-1][k][1]*u[i][j-1][k][2] ) * tmp2 )
- dt * ty1
* ( c34 - c1345 ) * tmp2 * u[i][j-1][k][1];
b[i][j][4][2] = - dt * ty2
* ( C1 * ( u[i][j-1][k][4] * tmp1 )
- 0.50 * C2
* ( ( u[i][j-1][k][1]*u[i][j-1][k][1]
+ 3.0 * u[i][j-1][k][2]*u[i][j-1][k][2]
+ u[i][j-1][k][3]*u[i][j-1][k][3] ) * tmp2 ) )
- dt * ty1
* ( r43*c34 - c1345 ) * tmp2 * u[i][j-1][k][2];
b[i][j][4][3] = - dt * ty2
* ( - C2 * ( u[i][j-1][k][2]*u[i][j-1][k][3] ) * tmp2 )
- dt * ty1 * ( c34 - c1345 ) * tmp2 * u[i][j-1][k][3];
b[i][j][4][4] = - dt * ty2
* ( C1 * ( u[i][j-1][k][2] * tmp1 ) )
- dt * ty1 * c1345 * tmp1
- dt * ty1 * dy5;
/*--------------------------------------------------------------------
c form the third block sub-diagonal
--------------------------------------------------------------------*/
tmp1 = 1.0 / u[i-1][j][k][0];
tmp2 = tmp1 * tmp1;
tmp3 = tmp1 * tmp2;
c[i][j][0][0] = - dt * tx1 * dx1;
c[i][j][0][1] = - dt * tx2;
c[i][j][0][2] = 0.0;
c[i][j][0][3] = 0.0;
c[i][j][0][4] = 0.0;
c[i][j][1][0] = - dt * tx2
* ( - ( u[i-1][j][k][1] * tmp1 ) *( u[i-1][j][k][1] * tmp1 )
+ C2 * 0.50 * ( u[i-1][j][k][1] * u[i-1][j][k][1]
+ u[i-1][j][k][2] * u[i-1][j][k][2]
+ u[i-1][j][k][3] * u[i-1][j][k][3] ) * tmp2 )
- dt * tx1 * ( - r43 * c34 * tmp2 * u[i-1][j][k][1] );
c[i][j][1][1] = - dt * tx2
* ( ( 2.0 - C2 ) * ( u[i-1][j][k][1] * tmp1 ) )
- dt * tx1 * ( r43 * c34 * tmp1 )
- dt * tx1 * dx2;
c[i][j][1][2] = - dt * tx2
* ( - C2 * ( u[i-1][j][k][2] * tmp1 ) );
c[i][j][1][3] = - dt * tx2
* ( - C2 * ( u[i-1][j][k][3] * tmp1 ) );
c[i][j][1][4] = - dt * tx2 * C2;
c[i][j][2][0] = - dt * tx2
* ( - ( u[i-1][j][k][1] * u[i-1][j][k][2] ) * tmp2 )
- dt * tx1 * ( - c34 * tmp2 * u[i-1][j][k][2] );
c[i][j][2][1] = - dt * tx2 * ( u[i-1][j][k][2] * tmp1 );
c[i][j][2][2] = - dt * tx2 * ( u[i-1][j][k][1] * tmp1 )
- dt * tx1 * ( c34 * tmp1 )
- dt * tx1 * dx3;
c[i][j][2][3] = 0.0;
c[i][j][2][4] = 0.0;
c[i][j][3][0] = - dt * tx2
* ( - ( u[i-1][j][k][1]*u[i-1][j][k][3] ) * tmp2 )
- dt * tx1 * ( - c34 * tmp2 * u[i-1][j][k][3] );
c[i][j][3][1] = - dt * tx2 * ( u[i-1][j][k][3] * tmp1 );
c[i][j][3][2] = 0.0;
c[i][j][3][3] = - dt * tx2 * ( u[i-1][j][k][1] * tmp1 )
- dt * tx1 * ( c34 * tmp1 )
- dt * tx1 * dx4;
c[i][j][3][4] = 0.0;
c[i][j][4][0] = - dt * tx2
* ( ( C2 * ( u[i-1][j][k][1] * u[i-1][j][k][1]
+ u[i-1][j][k][2] * u[i-1][j][k][2]
+ u[i-1][j][k][3] * u[i-1][j][k][3] ) * tmp2
- C1 * ( u[i-1][j][k][4] * tmp1 ) )
* ( u[i-1][j][k][1] * tmp1 ) )
- dt * tx1
* ( - ( r43*c34 - c1345 ) * tmp3 * ( pow2(u[i-1][j][k][1]) )
- ( c34 - c1345 ) * tmp3 * ( pow2(u[i-1][j][k][2]) )
- ( c34 - c1345 ) * tmp3 * ( pow2(u[i-1][j][k][3]) )
- c1345 * tmp2 * u[i-1][j][k][4] );
c[i][j][4][1] = - dt * tx2
* ( C1 * ( u[i-1][j][k][4] * tmp1 )
- 0.50 * C2
* ( ( 3.0*u[i-1][j][k][1]*u[i-1][j][k][1]
+ u[i-1][j][k][2]*u[i-1][j][k][2]
+ u[i-1][j][k][3]*u[i-1][j][k][3] ) * tmp2 ) )
- dt * tx1
* ( r43*c34 - c1345 ) * tmp2 * u[i-1][j][k][1];
c[i][j][4][2] = - dt * tx2
* ( - C2 * ( u[i-1][j][k][2]*u[i-1][j][k][1] ) * tmp2 )
- dt * tx1
* ( c34 - c1345 ) * tmp2 * u[i-1][j][k][2];
c[i][j][4][3] = - dt * tx2
* ( - C2 * ( u[i-1][j][k][3]*u[i-1][j][k][1] ) * tmp2 )
- dt * tx1
* ( c34 - c1345 ) * tmp2 * u[i-1][j][k][3];
c[i][j][4][4] = - dt * tx2
* ( C1 * ( u[i-1][j][k][1] * tmp1 ) )
- dt * tx1 * c1345 * tmp1
- dt * tx1 * dx5;
}
}
}
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
static void jacu(int k) {
/*--------------------------------------------------------------------
c compute the upper triangular part of the jacobian matrix
--------------------------------------------------------------------*/
/*--------------------------------------------------------------------
c local variables
--------------------------------------------------------------------*/
int i, j;
double r43;
double c1345;
double c34;
double tmp1, tmp2, tmp3;
r43 = ( 4.0 / 3.0 );
c1345 = C1 * C3 * C4 * C5;
c34 = C3 * C4;
#pragma omp for nowait schedule(static)
#if defined(_OPENMP)
for (i = iend; i >= ist; i--) {
for (j = jend; j >= jst; j--) {
#else
for (i = ist; i <= iend; i++) {
for (j = jst; j <= jend; j++) {
#endif
/*--------------------------------------------------------------------
c form the block daigonal
--------------------------------------------------------------------*/
tmp1 = 1.0 / u[i][j][k][0];
tmp2 = tmp1 * tmp1;
tmp3 = tmp1 * tmp2;
d[i][j][0][0] = 1.0
+ dt * 2.0 * ( tx1 * dx1
+ ty1 * dy1
+ tz1 * dz1 );
d[i][j][0][1] = 0.0;
d[i][j][0][2] = 0.0;
d[i][j][0][3] = 0.0;
d[i][j][0][4] = 0.0;
d[i][j][1][0] = dt * 2.0
* ( tx1 * ( - r43 * c34 * tmp2 * u[i][j][k][1] )
+ ty1 * ( - c34 * tmp2 * u[i][j][k][1] )
+ tz1 * ( - c34 * tmp2 * u[i][j][k][1] ) );
d[i][j][1][1] = 1.0
+ dt * 2.0
* ( tx1 * r43 * c34 * tmp1
+ ty1 * c34 * tmp1
+ tz1 * c34 * tmp1 )
+ dt * 2.0 * ( tx1 * dx2
+ ty1 * dy2
+ tz1 * dz2 );
d[i][j][1][2] = 0.0;
d[i][j][1][3] = 0.0;
d[i][j][1][4] = 0.0;
d[i][j][2][0] = dt * 2.0
* ( tx1 * ( - c34 * tmp2 * u[i][j][k][2] )
+ ty1 * ( - r43 * c34 * tmp2 * u[i][j][k][2] )
+ tz1 * ( - c34 * tmp2 * u[i][j][k][2] ) );
d[i][j][2][1] = 0.0;
d[i][j][2][2] = 1.0
+ dt * 2.0
* ( tx1 * c34 * tmp1
+ ty1 * r43 * c34 * tmp1
+ tz1 * c34 * tmp1 )
+ dt * 2.0 * ( tx1 * dx3
+ ty1 * dy3
+ tz1 * dz3 );
d[i][j][2][3] = 0.0;
d[i][j][2][4] = 0.0;
d[i][j][3][0] = dt * 2.0
* ( tx1 * ( - c34 * tmp2 * u[i][j][k][3] )
+ ty1 * ( - c34 * tmp2 * u[i][j][k][3] )
+ tz1 * ( - r43 * c34 * tmp2 * u[i][j][k][3] ) );
d[i][j][3][1] = 0.0;
d[i][j][3][2] = 0.0;
d[i][j][3][3] = 1.0
+ dt * 2.0
* ( tx1 * c34 * tmp1
+ ty1 * c34 * tmp1
+ tz1 * r43 * c34 * tmp1 )
+ dt * 2.0 * ( tx1 * dx4
+ ty1 * dy4
+ tz1 * dz4 );
d[i][j][3][4] = 0.0;
d[i][j][4][0] = dt * 2.0
* ( tx1 * ( - ( r43*c34 - c1345 ) * tmp3 * ( pow2(u[i][j][k][1]) )
- ( c34 - c1345 ) * tmp3 * ( pow2(u[i][j][k][2]) )
- ( c34 - c1345 ) * tmp3 * ( pow2(u[i][j][k][3]) )
- ( c1345 ) * tmp2 * u[i][j][k][4] )
+ ty1 * ( - ( c34 - c1345 ) * tmp3 * ( pow2(u[i][j][k][1]) )
- ( r43*c34 - c1345 ) * tmp3 * ( pow2(u[i][j][k][2]) )
- ( c34 - c1345 ) * tmp3 * ( pow2(u[i][j][k][3]) )
- ( c1345 ) * tmp2 * u[i][j][k][4] )
+ tz1 * ( - ( c34 - c1345 ) * tmp3 * ( pow2(u[i][j][k][1]) )
- ( c34 - c1345 ) * tmp3 * ( pow2(u[i][j][k][2]) )
- ( r43*c34 - c1345 ) * tmp3 * ( pow2(u[i][j][k][3]) )
- ( c1345 ) * tmp2 * u[i][j][k][4] ) );
d[i][j][4][1] = dt * 2.0
* ( tx1 * ( r43*c34 - c1345 ) * tmp2 * u[i][j][k][1]
+ ty1 * ( c34 - c1345 ) * tmp2 * u[i][j][k][1]
+ tz1 * ( c34 - c1345 ) * tmp2 * u[i][j][k][1] );
d[i][j][4][2] = dt * 2.0
* ( tx1 * ( c34 - c1345 ) * tmp2 * u[i][j][k][2]
+ ty1 * ( r43*c34 -c1345 ) * tmp2 * u[i][j][k][2]
+ tz1 * ( c34 - c1345 ) * tmp2 * u[i][j][k][2] );
d[i][j][4][3] = dt * 2.0
* ( tx1 * ( c34 - c1345 ) * tmp2 * u[i][j][k][3]
+ ty1 * ( c34 - c1345 ) * tmp2 * u[i][j][k][3]
+ tz1 * ( r43*c34 - c1345 ) * tmp2 * u[i][j][k][3] );
d[i][j][4][4] = 1.0
+ dt * 2.0 * ( tx1 * c1345 * tmp1
+ ty1 * c1345 * tmp1
+ tz1 * c1345 * tmp1 )
+ dt * 2.0 * ( tx1 * dx5
+ ty1 * dy5
+ tz1 * dz5 );
/*--------------------------------------------------------------------
c form the first block sub-diagonal
--------------------------------------------------------------------*/
tmp1 = 1.0 / u[i+1][j][k][0];
tmp2 = tmp1 * tmp1;
tmp3 = tmp1 * tmp2;
a[i][j][0][0] = - dt * tx1 * dx1;
a[i][j][0][1] = dt * tx2;
a[i][j][0][2] = 0.0;
a[i][j][0][3] = 0.0;
a[i][j][0][4] = 0.0;
a[i][j][1][0] = dt * tx2
* ( - ( u[i+1][j][k][1] * tmp1 ) *( u[i+1][j][k][1] * tmp1 )
+ C2 * 0.50 * ( u[i+1][j][k][1] * u[i+1][j][k][1]
+ u[i+1][j][k][2] * u[i+1][j][k][2]
+ u[i+1][j][k][3] * u[i+1][j][k][3] ) * tmp2 )
- dt * tx1 * ( - r43 * c34 * tmp2 * u[i+1][j][k][1] );
a[i][j][1][1] = dt * tx2
* ( ( 2.0 - C2 ) * ( u[i+1][j][k][1] * tmp1 ) )
- dt * tx1 * ( r43 * c34 * tmp1 )
- dt * tx1 * dx2;
a[i][j][1][2] = dt * tx2
* ( - C2 * ( u[i+1][j][k][2] * tmp1 ) );
a[i][j][1][3] = dt * tx2
* ( - C2 * ( u[i+1][j][k][3] * tmp1 ) );
a[i][j][1][4] = dt * tx2 * C2 ;
a[i][j][2][0] = dt * tx2
* ( - ( u[i+1][j][k][1] * u[i+1][j][k][2] ) * tmp2 )
- dt * tx1 * ( - c34 * tmp2 * u[i+1][j][k][2] );
a[i][j][2][1] = dt * tx2 * ( u[i+1][j][k][2] * tmp1 );
a[i][j][2][2] = dt * tx2 * ( u[i+1][j][k][1] * tmp1 )
- dt * tx1 * ( c34 * tmp1 )
- dt * tx1 * dx3;
a[i][j][2][3] = 0.0;
a[i][j][2][4] = 0.0;
a[i][j][3][0] = dt * tx2
* ( - ( u[i+1][j][k][1]*u[i+1][j][k][3] ) * tmp2 )
- dt * tx1 * ( - c34 * tmp2 * u[i+1][j][k][3] );
a[i][j][3][1] = dt * tx2 * ( u[i+1][j][k][3] * tmp1 );
a[i][j][3][2] = 0.0;
a[i][j][3][3] = dt * tx2 * ( u[i+1][j][k][1] * tmp1 )
- dt * tx1 * ( c34 * tmp1 )
- dt * tx1 * dx4;
a[i][j][3][4] = 0.0;
a[i][j][4][0] = dt * tx2
* ( ( C2 * ( u[i+1][j][k][1] * u[i+1][j][k][1]
+ u[i+1][j][k][2] * u[i+1][j][k][2]
+ u[i+1][j][k][3] * u[i+1][j][k][3] ) * tmp2
- C1 * ( u[i+1][j][k][4] * tmp1 ) )
* ( u[i+1][j][k][1] * tmp1 ) )
- dt * tx1
* ( - ( r43*c34 - c1345 ) * tmp3 * ( pow2(u[i+1][j][k][1]) )
- ( c34 - c1345 ) * tmp3 * ( pow2(u[i+1][j][k][2]) )
- ( c34 - c1345 ) * tmp3 * ( pow2(u[i+1][j][k][3]) )
- c1345 * tmp2 * u[i+1][j][k][4] );
a[i][j][4][1] = dt * tx2
* ( C1 * ( u[i+1][j][k][4] * tmp1 )
- 0.50 * C2
* ( ( 3.0*u[i+1][j][k][1]*u[i+1][j][k][1]
+ u[i+1][j][k][2]*u[i+1][j][k][2]
+ u[i+1][j][k][3]*u[i+1][j][k][3] ) * tmp2 ) )
- dt * tx1
* ( r43*c34 - c1345 ) * tmp2 * u[i+1][j][k][1];
a[i][j][4][2] = dt * tx2
* ( - C2 * ( u[i+1][j][k][2]*u[i+1][j][k][1] ) * tmp2 )
- dt * tx1
* ( c34 - c1345 ) * tmp2 * u[i+1][j][k][2];
a[i][j][4][3] = dt * tx2
* ( - C2 * ( u[i+1][j][k][3]*u[i+1][j][k][1] ) * tmp2 )
- dt * tx1
* ( c34 - c1345 ) * tmp2 * u[i+1][j][k][3];
a[i][j][4][4] = dt * tx2
* ( C1 * ( u[i+1][j][k][1] * tmp1 ) )
- dt * tx1 * c1345 * tmp1
- dt * tx1 * dx5;
/*--------------------------------------------------------------------
c form the second block sub-diagonal
--------------------------------------------------------------------*/
tmp1 = 1.0 / u[i][j+1][k][0];
tmp2 = tmp1 * tmp1;
tmp3 = tmp1 * tmp2;
b[i][j][0][0] = - dt * ty1 * dy1;
b[i][j][0][1] = 0.0;
b[i][j][0][2] = dt * ty2;
b[i][j][0][3] = 0.0;
b[i][j][0][4] = 0.0;
b[i][j][1][0] = dt * ty2
* ( - ( u[i][j+1][k][1]*u[i][j+1][k][2] ) * tmp2 )
- dt * ty1 * ( - c34 * tmp2 * u[i][j+1][k][1] );
b[i][j][1][1] = dt * ty2 * ( u[i][j+1][k][2] * tmp1 )
- dt * ty1 * ( c34 * tmp1 )
- dt * ty1 * dy2;
b[i][j][1][2] = dt * ty2 * ( u[i][j+1][k][1] * tmp1 );
b[i][j][1][3] = 0.0;
b[i][j][1][4] = 0.0;
b[i][j][2][0] = dt * ty2
* ( - ( u[i][j+1][k][2] * tmp1 ) *( u[i][j+1][k][2] * tmp1 )
+ 0.50 * C2 * ( ( u[i][j+1][k][1] * u[i][j+1][k][1]
+ u[i][j+1][k][2] * u[i][j+1][k][2]
+ u[i][j+1][k][3] * u[i][j+1][k][3] )
* tmp2 ) )
- dt * ty1 * ( - r43 * c34 * tmp2 * u[i][j+1][k][2] );
b[i][j][2][1] = dt * ty2
* ( - C2 * ( u[i][j+1][k][1] * tmp1 ) );
b[i][j][2][2] = dt * ty2 * ( ( 2.0 - C2 )
* ( u[i][j+1][k][2] * tmp1 ) )
- dt * ty1 * ( r43 * c34 * tmp1 )
- dt * ty1 * dy3;
b[i][j][2][3] = dt * ty2
* ( - C2 * ( u[i][j+1][k][3] * tmp1 ) );
b[i][j][2][4] = dt * ty2 * C2;
b[i][j][3][0] = dt * ty2
* ( - ( u[i][j+1][k][2]*u[i][j+1][k][3] ) * tmp2 )
- dt * ty1 * ( - c34 * tmp2 * u[i][j+1][k][3] );
b[i][j][3][1] = 0.0;
b[i][j][3][2] = dt * ty2 * ( u[i][j+1][k][3] * tmp1 );
b[i][j][3][3] = dt * ty2 * ( u[i][j+1][k][2] * tmp1 )
- dt * ty1 * ( c34 * tmp1 )
- dt * ty1 * dy4;
b[i][j][3][4] = 0.0;
b[i][j][4][0] = dt * ty2
* ( ( C2 * ( u[i][j+1][k][1] * u[i][j+1][k][1]
+ u[i][j+1][k][2] * u[i][j+1][k][2]
+ u[i][j+1][k][3] * u[i][j+1][k][3] ) * tmp2
- C1 * ( u[i][j+1][k][4] * tmp1 ) )
* ( u[i][j+1][k][2] * tmp1 ) )
- dt * ty1
* ( - ( c34 - c1345 )*tmp3*( pow2(u[i][j+1][k][1]) )
- ( r43*c34 - c1345 )*tmp3*( pow2(u[i][j+1][k][2]) )
- ( c34 - c1345 )*tmp3*( pow2(u[i][j+1][k][3]) )
- c1345*tmp2*u[i][j+1][k][4] );
b[i][j][4][1] = dt * ty2
* ( - C2 * ( u[i][j+1][k][1]*u[i][j+1][k][2] ) * tmp2 )
- dt * ty1
* ( c34 - c1345 ) * tmp2 * u[i][j+1][k][1];
b[i][j][4][2] = dt * ty2
* ( C1 * ( u[i][j+1][k][4] * tmp1 )
- 0.50 * C2
* ( ( u[i][j+1][k][1]*u[i][j+1][k][1]
+ 3.0 * u[i][j+1][k][2]*u[i][j+1][k][2]
+ u[i][j+1][k][3]*u[i][j+1][k][3] ) * tmp2 ) )
- dt * ty1
* ( r43*c34 - c1345 ) * tmp2 * u[i][j+1][k][2];
b[i][j][4][3] = dt * ty2
* ( - C2 * ( u[i][j+1][k][2]*u[i][j+1][k][3] ) * tmp2 )
- dt * ty1 * ( c34 - c1345 ) * tmp2 * u[i][j+1][k][3];
b[i][j][4][4] = dt * ty2
* ( C1 * ( u[i][j+1][k][2] * tmp1 ) )
- dt * ty1 * c1345 * tmp1
- dt * ty1 * dy5;
/*--------------------------------------------------------------------
c form the third block sub-diagonal
--------------------------------------------------------------------*/
tmp1 = 1.0 / u[i][j][k+1][0];
tmp2 = tmp1 * tmp1;
tmp3 = tmp1 * tmp2;
c[i][j][0][0] = - dt * tz1 * dz1;
c[i][j][0][1] = 0.0;
c[i][j][0][2] = 0.0;
c[i][j][0][3] = dt * tz2;
c[i][j][0][4] = 0.0;
c[i][j][1][0] = dt * tz2
* ( - ( u[i][j][k+1][1]*u[i][j][k+1][3] ) * tmp2 )
- dt * tz1 * ( - c34 * tmp2 * u[i][j][k+1][1] );
c[i][j][1][1] = dt * tz2 * ( u[i][j][k+1][3] * tmp1 )
- dt * tz1 * c34 * tmp1
- dt * tz1 * dz2 ;
c[i][j][1][2] = 0.0;
c[i][j][1][3] = dt * tz2 * ( u[i][j][k+1][1] * tmp1 );
c[i][j][1][4] = 0.0;
c[i][j][2][0] = dt * tz2
* ( - ( u[i][j][k+1][2]*u[i][j][k+1][3] ) * tmp2 )
- dt * tz1 * ( - c34 * tmp2 * u[i][j][k+1][2] );
c[i][j][2][1] = 0.0;
c[i][j][2][2] = dt * tz2 * ( u[i][j][k+1][3] * tmp1 )
- dt * tz1 * ( c34 * tmp1 )
- dt * tz1 * dz3;
c[i][j][2][3] = dt * tz2 * ( u[i][j][k+1][2] * tmp1 );
c[i][j][2][4] = 0.0;
c[i][j][3][0] = dt * tz2
* ( - ( u[i][j][k+1][3] * tmp1 ) *( u[i][j][k+1][3] * tmp1 )
+ 0.50 * C2
* ( ( u[i][j][k+1][1] * u[i][j][k+1][1]
+ u[i][j][k+1][2] * u[i][j][k+1][2]
+ u[i][j][k+1][3] * u[i][j][k+1][3] ) * tmp2 ) )
- dt * tz1 * ( - r43 * c34 * tmp2 * u[i][j][k+1][3] );
c[i][j][3][1] = dt * tz2
* ( - C2 * ( u[i][j][k+1][1] * tmp1 ) );
c[i][j][3][2] = dt * tz2
* ( - C2 * ( u[i][j][k+1][2] * tmp1 ) );
c[i][j][3][3] = dt * tz2 * ( 2.0 - C2 )
* ( u[i][j][k+1][3] * tmp1 )
- dt * tz1 * ( r43 * c34 * tmp1 )
- dt * tz1 * dz4;
c[i][j][3][4] = dt * tz2 * C2;
c[i][j][4][0] = dt * tz2
* ( ( C2 * ( u[i][j][k+1][1] * u[i][j][k+1][1]
+ u[i][j][k+1][2] * u[i][j][k+1][2]
+ u[i][j][k+1][3] * u[i][j][k+1][3] ) * tmp2
- C1 * ( u[i][j][k+1][4] * tmp1 ) )
* ( u[i][j][k+1][3] * tmp1 ) )
- dt * tz1
* ( - ( c34 - c1345 ) * tmp3 * ( pow2(u[i][j][k+1][1]) )
- ( c34 - c1345 ) * tmp3 * ( pow2(u[i][j][k+1][2]) )
- ( r43*c34 - c1345 )* tmp3 * ( pow2(u[i][j][k+1][3]) )
- c1345 * tmp2 * u[i][j][k+1][4] );
c[i][j][4][1] = dt * tz2
* ( - C2 * ( u[i][j][k+1][1]*u[i][j][k+1][3] ) * tmp2 )
- dt * tz1 * ( c34 - c1345 ) * tmp2 * u[i][j][k+1][1];
c[i][j][4][2] = dt * tz2
* ( - C2 * ( u[i][j][k+1][2]*u[i][j][k+1][3] ) * tmp2 )
- dt * tz1 * ( c34 - c1345 ) * tmp2 * u[i][j][k+1][2];
c[i][j][4][3] = dt * tz2
* ( C1 * ( u[i][j][k+1][4] * tmp1 )
- 0.50 * C2
* ( ( u[i][j][k+1][1]*u[i][j][k+1][1]
+ u[i][j][k+1][2]*u[i][j][k+1][2]
+ 3.0*u[i][j][k+1][3]*u[i][j][k+1][3] ) * tmp2 ) )
- dt * tz1 * ( r43*c34 - c1345 ) * tmp2 * u[i][j][k+1][3];
c[i][j][4][4] = dt * tz2
* ( C1 * ( u[i][j][k+1][3] * tmp1 ) )
- dt * tz1 * c1345 * tmp1
- dt * tz1 * dz5;
}
}
}
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
static void l2norm (int nx0, int ny0, int nz0,
int ist, int iend,
int jst, int jend,
/*--------------------------------------------------------------------
c To improve cache performance, second two dimensions padded by 1
c for even number sizes only. Only needed in v.
--------------------------------------------------------------------*/
double v[ISIZ1][ISIZ2/2*2+1][ISIZ3/2*2+1][5],
double sum[5]) {
/*--------------------------------------------------------------------
c to compute the l2-norm of vector v.
--------------------------------------------------------------------*/
/*--------------------------------------------------------------------
c local variables
--------------------------------------------------------------------*/
int i, j, k, m;
double sum0=0.0, sum1=0.0, sum2=0.0, sum3=0.0, sum4=0.0;
#pragma omp single
for (m = 0; m < 5; m++) {
sum[m] = 0.0;
}
#pragma omp for nowait
for (i = ist; i <= iend; i++) {
for (j = jst; j <= jend; j++) {
for (k = 1; k <= nz0-2; k++) {
sum0 = sum0 + v[i][j][k][0] * v[i][j][k][0];
sum1 = sum1 + v[i][j][k][1] * v[i][j][k][1];
sum2 = sum2 + v[i][j][k][2] * v[i][j][k][2];
sum3 = sum3 + v[i][j][k][3] * v[i][j][k][3];
sum4 = sum4 + v[i][j][k][4] * v[i][j][k][4];
}
}
}
#pragma omp critical
{
sum[0] += sum0;
sum[1] += sum1;
sum[2] += sum2;
sum[3] += sum3;
sum[4] += sum4;
}
#pragma omp barrier
#pragma omp single
for (m = 0; m < 5; m++) {
sum[m] = sqrt ( sum[m] / ( (nx0-2)*(ny0-2)*(nz0-2) ) );
}
}
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
static void pintgr(void) {
/*--------------------------------------------------------------------
c local variables
--------------------------------------------------------------------*/
int i, j, k;
int ibeg, ifin, ifin1;
int jbeg, jfin, jfin1;
int iglob, iglob1, iglob2;
int jglob, jglob1, jglob2;
double phi1[ISIZ2+2][ISIZ3+2]; /* phi1(0:isiz2+1,0:isiz3+1) */
double phi2[ISIZ2+2][ISIZ3+2]; /* phi2(0:isiz2+1,0:isiz3+1) */
double frc1, frc2, frc3;
/*--------------------------------------------------------------------
c set up the sub-domains for integeration in each processor
--------------------------------------------------------------------*/
ibeg = nx;
ifin = 0;
iglob1 = -1;
iglob2 = nx-1;
if (iglob1 >= ii1 && iglob2 < ii2+nx) ibeg = 0;
if (iglob1 >= ii1-nx && iglob2 <= ii2) ifin = nx;
if (ii1 >= iglob1 && ii1 <= iglob2) ibeg = ii1;
if (ii2 >= iglob1 && ii2 <= iglob2) ifin = ii2;
jbeg = ny;
jfin = -1;
jglob1 = 0;
jglob2 = ny-1;
if (jglob1 >= ji1 && jglob2 < ji2+ny) jbeg = 0;
if (jglob1 > ji1-ny && jglob2 <= ji2) jfin = ny;
if (ji1 >= jglob1 && ji1 <= jglob2) jbeg = ji1;
if (ji2 >= jglob1 && ji2 <= jglob2) jfin = ji2;
ifin1 = ifin;
jfin1 = jfin;
if (ifin1 == ii2) ifin1 = ifin -1;
if (jfin1 == ji2) jfin1 = jfin -1;
/*--------------------------------------------------------------------
c initialize
--------------------------------------------------------------------*/
for (i = 0; i <= ISIZ2+1; i++) {
for (k = 0; k <= ISIZ3+1; k++) {
phi1[i][k] = 0.0;
phi2[i][k] = 0.0;
}
}
for (i = ibeg; i <= ifin; i++) {
iglob = i;
for (j = jbeg; j <= jfin; j++) {
jglob = j;
k = ki1;
phi1[i][j] = C2*( u[i][j][k][4]
- 0.50 * ( pow2(u[i][j][k][1])
+ pow2(u[i][j][k][2])
+ pow2(u[i][j][k][3]) )
/ u[i][j][k][0] );
k = ki2;
phi2[i][j] = C2*( u[i][j][k][4]
- 0.50 * ( pow2(u[i][j][k][1])
+ pow2(u[i][j][k][2])
+ pow2(u[i][j][k][3]) )
/ u[i][j][k][0] );
}
}
frc1 = 0.0;
for (i = ibeg; i <= ifin1; i++) {
for (j = jbeg; j <= jfin1; j++) {
frc1 = frc1 + ( phi1[i][j]
+ phi1[i+1][j]
+ phi1[i][j+1]
+ phi1[i+1][j+1]
+ phi2[i][j]
+ phi2[i+1][j]
+ phi2[i][j+1]
+ phi2[i+1][j+1] );
}
}
frc1 = dxi * deta * frc1;
/*--------------------------------------------------------------------
c initialize
--------------------------------------------------------------------*/
for (i = 0; i <= ISIZ2+1; i++) {
for (k = 0; k <= ISIZ3+1; k++) {
phi1[i][k] = 0.0;
phi2[i][k] = 0.0;
}
}
jglob = jbeg;
if (jglob == ji1) {
for (i = ibeg; i <= ifin; i++) {
iglob = i;
for (k = ki1; k <= ki2; k++) {
phi1[i][k] = C2*( u[i][jbeg][k][4]
- 0.50 * ( pow2(u[i][jbeg][k][1])
+ pow2(u[i][jbeg][k][2])
+ pow2(u[i][jbeg][k][3]) )
/ u[i][jbeg][k][0] );
}
}
}
jglob = jfin;
if (jglob == ji2) {
for (i = ibeg; i <= ifin; i++) {
iglob = i;
for (k = ki1; k <= ki2; k++) {
phi2[i][k] = C2*( u[i][jfin][k][4]
- 0.50 * ( pow2(u[i][jfin][k][1])
+ pow2(u[i][jfin][k][2])
+ pow2(u[i][jfin][k][3]) )
/ u[i][jfin][k][0] );
}
}
}
frc2 = 0.0;
for (i = ibeg; i <= ifin1; i++) {
for (k = ki1; k <= ki2-1; k++) {
frc2 = frc2 + ( phi1[i][k]
+ phi1[i+1][k]
+ phi1[i][k+1]
+ phi1[i+1][k+1]
+ phi2[i][k]
+ phi2[i+1][k]
+ phi2[i][k+1]
+ phi2[i+1][k+1] );
}
}
frc2 = dxi * dzeta * frc2;
/*--------------------------------------------------------------------
c initialize
--------------------------------------------------------------------*/
for (i = 0; i <= ISIZ2+1; i++) {
for (k = 0; k <= ISIZ3+1; k++) {
phi1[i][k] = 0.0;
phi2[i][k] = 0.0;
}
}
iglob = ibeg;
if (iglob == ii1) {
for (j = jbeg; j <= jfin; j++) {
jglob = j;
for (k = ki1; k <= ki2; k++) {
phi1[j][k] = C2*( u[ibeg][j][k][4]
- 0.50 * ( pow2(u[ibeg][j][k][1])
+ pow2(u[ibeg][j][k][2])
+ pow2(u[ibeg][j][k][3]) )
/ u[ibeg][j][k][0] );
}
}
}
iglob = ifin;
if (iglob == ii2) {
for (j = jbeg; j <= jfin; j++) {
jglob = j;
for (k = ki1; k <= ki2; k++) {
phi2[j][k] = C2*( u[ifin][j][k][4]
- 0.50 * ( pow2(u[ifin][j][k][1])
+ pow2(u[ifin][j][k][2])
+ pow2(u[ifin][j][k][3]) )
/ u[ifin][j][k][0] );
}
}
}
frc3 = 0.0;
for (j = jbeg; j <= jfin1; j++) {
for (k = ki1; k <= ki2-1; k++) {
frc3 = frc3 + ( phi1[j][k]
+ phi1[j+1][k]
+ phi1[j][k+1]
+ phi1[j+1][k+1]
+ phi2[j][k]
+ phi2[j+1][k]
+ phi2[j][k+1]
+ phi2[j+1][k+1] );
}
}
frc3 = deta * dzeta * frc3;
frc = 0.25 * ( frc1 + frc2 + frc3 );
}
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
static void read_input(void) {
FILE *fp;
/*--------------------------------------------------------------------
c if input file does not exist, it uses defaults
c ipr = 1 for detailed progress output
c inorm = how often the norm is printed (once every inorm iterations)
c itmax = number of pseudo time steps
c dt = time step
c omega 1 over-relaxation factor for SSOR
c tolrsd = steady state residual tolerance levels
c nx, ny, nz = number of grid points in x, y, z directions
--------------------------------------------------------------------*/
printf("\n\n NAS Parallel Benchmarks 2.3 OpenMP C version"
" - LU Benchmark\n\n");
fp = fopen("inputlu.data", "r");
if (fp != NULL) {
printf(" Reading from input file inputlu.data\n");
while(fgetc(fp) != '\n'); while(fgetc(fp) != '\n');
fscanf(fp, "%d%d", &ipr, &inorm);
while(fgetc(fp) != '\n');
while(fgetc(fp) != '\n'); while(fgetc(fp) != '\n');
fscanf(fp, "%d", &itmax);
while(fgetc(fp) != '\n');
while(fgetc(fp) != '\n'); while(fgetc(fp) != '\n');
fscanf(fp, "%lf", &dt);
while(fgetc(fp) != '\n');
while(fgetc(fp) != '\n'); while(fgetc(fp) != '\n');
fscanf(fp, "%lf", &omega);
while(fgetc(fp) != '\n');
while(fgetc(fp) != '\n'); while(fgetc(fp) != '\n');
fscanf(fp, "%lf%lf%lf%lf%lf",
&tolrsd[0], &tolrsd[1], &tolrsd[2], &tolrsd[3], &tolrsd[4]);
while(fgetc(fp) != '\n');
while(fgetc(fp) != '\n'); while(fgetc(fp) != '\n');
fscanf(fp, "%d%d%d", &nx0, &ny0, &nz0);
while(fgetc(fp) != '\n');
fclose(fp);
} else {
ipr = IPR_DEFAULT;
inorm = INORM_DEFAULT;
itmax = ITMAX_DEFAULT;
dt = DT_DEFAULT;
omega = OMEGA_DEFAULT;
tolrsd[0] = TOLRSD1_DEF;
tolrsd[1] = TOLRSD2_DEF;
tolrsd[2] = TOLRSD3_DEF;
tolrsd[3] = TOLRSD4_DEF;
tolrsd[4] = TOLRSD5_DEF;
nx0 = ISIZ1;
ny0 = ISIZ2;
nz0 = ISIZ3;
}
/*--------------------------------------------------------------------
c check problem size
--------------------------------------------------------------------*/
if ( nx0 < 4 || ny0 < 4 || nz0 < 4 ) {
printf(" PROBLEM SIZE IS TOO SMALL - \n"
" SET EACH OF NX, NY AND NZ AT LEAST EQUAL TO 5\n");
exit(1);
}
if ( nx0 > ISIZ1 || ny0 > ISIZ2 || nz0 > ISIZ3 ) {
printf(" PROBLEM SIZE IS TOO LARGE - \n"
" NX, NY AND NZ SHOULD BE EQUAL TO \n"
" ISIZ1, ISIZ2 AND ISIZ3 RESPECTIVELY\n");
exit(1);
}
printf(" Size: %3dx%3dx%3d\n", nx0, ny0, nz0);
printf(" Iterations: %3d\n", itmax);
}
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
static void rhs(void) {
/*--------------------------------------------------------------------
c compute the right hand sides
--------------------------------------------------------------------*/
/*--------------------------------------------------------------------
c local variables
--------------------------------------------------------------------*/
int i, j, k, m;
int L1, L2;
int ist1, iend1;
int jst1, jend1;
double q;
double u21, u31, u41;
double tmp;
double u21i, u31i, u41i, u51i;
double u21j, u31j, u41j, u51j;
double u21k, u31k, u41k, u51k;
double u21im1, u31im1, u41im1, u51im1;
double u21jm1, u31jm1, u41jm1, u51jm1;
double u21km1, u31km1, u41km1, u51km1;
#pragma omp for
for (i = 0; i <= nx-1; i++) {
for (j = 0; j <= ny-1; j++) {
for (k = 0; k <= nz-1; k++) {
for (m = 0; m < 5; m++) {
rsd[i][j][k][m] = - frct[i][j][k][m];
}
}
}
}
/*--------------------------------------------------------------------
c xi-direction flux differences
--------------------------------------------------------------------*/
L1 = 0;
L2 = nx-1;
#pragma omp for
for (i = L1; i <= L2; i++) {
for (j = jst; j <= jend; j++) {
for (k = 1; k <= nz - 2; k++) {
flux[i][j][k][0] = u[i][j][k][1];
u21 = u[i][j][k][1] / u[i][j][k][0];
q = 0.50 * ( u[i][j][k][1] * u[i][j][k][1]
+ u[i][j][k][2] * u[i][j][k][2]
+ u[i][j][k][3] * u[i][j][k][3] )
/ u[i][j][k][0];
flux[i][j][k][1] = u[i][j][k][1] * u21 + C2 *
( u[i][j][k][4] - q );
flux[i][j][k][2] = u[i][j][k][2] * u21;
flux[i][j][k][3] = u[i][j][k][3] * u21;
flux[i][j][k][4] = ( C1 * u[i][j][k][4] - C2 * q ) * u21;
}
}
}
#pragma omp for
for (j = jst; j <= jend; j++) {
for (k = 1; k <= nz - 2; k++) {
for (i = ist; i <= iend; i++) {
for (m = 0; m < 5; m++) {
rsd[i][j][k][m] = rsd[i][j][k][m]
- tx2 * ( flux[i+1][j][k][m] - flux[i-1][j][k][m] );
}
}
L2 = nx-1;
for (i = ist; i <= L2; i++) {
tmp = 1.0 / u[i][j][k][0];
u21i = tmp * u[i][j][k][1];
u31i = tmp * u[i][j][k][2];
u41i = tmp * u[i][j][k][3];
u51i = tmp * u[i][j][k][4];
tmp = 1.0 / u[i-1][j][k][0];
u21im1 = tmp * u[i-1][j][k][1];
u31im1 = tmp * u[i-1][j][k][2];
u41im1 = tmp * u[i-1][j][k][3];
u51im1 = tmp * u[i-1][j][k][4];
flux[i][j][k][1] = (4.0/3.0) * tx3 * (u21i-u21im1);
flux[i][j][k][2] = tx3 * ( u31i - u31im1 );
flux[i][j][k][3] = tx3 * ( u41i - u41im1 );
flux[i][j][k][4] = 0.50 * ( 1.0 - C1*C5 )
* tx3 * ( ( pow2(u21i) + pow2(u31i) + pow2(u41i) )
- ( pow2(u21im1) + pow2(u31im1) + pow2(u41im1) ) )
+ (1.0/6.0)
* tx3 * ( pow2(u21i) - pow2(u21im1) )
+ C1 * C5 * tx3 * ( u51i - u51im1 );
}
for (i = ist; i <= iend; i++) {
rsd[i][j][k][0] = rsd[i][j][k][0]
+ dx1 * tx1 * ( u[i-1][j][k][0]
- 2.0 * u[i][j][k][0]
+ u[i+1][j][k][0] );
rsd[i][j][k][1] = rsd[i][j][k][1]
+ tx3 * C3 * C4 * ( flux[i+1][j][k][1] - flux[i][j][k][1] )
+ dx2 * tx1 * ( u[i-1][j][k][1]
- 2.0 * u[i][j][k][1]
+ u[i+1][j][k][1] );
rsd[i][j][k][2] = rsd[i][j][k][2]
+ tx3 * C3 * C4 * ( flux[i+1][j][k][2] - flux[i][j][k][2] )
+ dx3 * tx1 * ( u[i-1][j][k][2]
- 2.0 * u[i][j][k][2]
+ u[i+1][j][k][2] );
rsd[i][j][k][3] = rsd[i][j][k][3]
+ tx3 * C3 * C4 * ( flux[i+1][j][k][3] - flux[i][j][k][3] )
+ dx4 * tx1 * ( u[i-1][j][k][3]
- 2.0 * u[i][j][k][3]
+ u[i+1][j][k][3] );
rsd[i][j][k][4] = rsd[i][j][k][4]
+ tx3 * C3 * C4 * ( flux[i+1][j][k][4] - flux[i][j][k][4] )
+ dx5 * tx1 * ( u[i-1][j][k][4]
- 2.0 * u[i][j][k][4]
+ u[i+1][j][k][4] );
}
/*--------------------------------------------------------------------
c Fourth-order dissipation
--------------------------------------------------------------------*/
for (m = 0; m < 5; m++) {
rsd[1][j][k][m] = rsd[1][j][k][m]
- dssp * ( + 5.0 * u[1][j][k][m]
- 4.0 * u[2][j][k][m]
+ u[3][j][k][m] );
rsd[2][j][k][m] = rsd[2][j][k][m]
- dssp * ( - 4.0 * u[1][j][k][m]
+ 6.0 * u[2][j][k][m]
- 4.0 * u[3][j][k][m]
+ u[4][j][k][m] );
}
ist1 = 3;
iend1 = nx - 4;
for (i = ist1; i <= iend1; i++) {
for (m = 0; m < 5; m++) {
rsd[i][j][k][m] = rsd[i][j][k][m]
- dssp * ( u[i-2][j][k][m]
- 4.0 * u[i-1][j][k][m]
+ 6.0 * u[i][j][k][m]
- 4.0 * u[i+1][j][k][m]
+ u[i+2][j][k][m] );
}
}
for (m = 0; m < 5; m++) {
rsd[nx-3][j][k][m] = rsd[nx-3][j][k][m]
- dssp * ( u[nx-5][j][k][m]
- 4.0 * u[nx-4][j][k][m]
+ 6.0 * u[nx-3][j][k][m]
- 4.0 * u[nx-2][j][k][m] );
rsd[nx-2][j][k][m] = rsd[nx-2][j][k][m]
- dssp * ( u[nx-4][j][k][m]
- 4.0 * u[nx-3][j][k][m]
+ 5.0 * u[nx-2][j][k][m] );
}
}
}
/*--------------------------------------------------------------------
c eta-direction flux differences
--------------------------------------------------------------------*/
L1 = 0;
L2 = ny-1;
#pragma omp for
for (i = ist; i <= iend; i++) {
for (j = L1; j <= L2; j++) {
for (k = 1; k <= nz - 2; k++) {
flux[i][j][k][0] = u[i][j][k][2];
u31 = u[i][j][k][2] / u[i][j][k][0];
q = 0.50 * ( u[i][j][k][1] * u[i][j][k][1]
+ u[i][j][k][2] * u[i][j][k][2]
+ u[i][j][k][3] * u[i][j][k][3] )
/ u[i][j][k][0];
flux[i][j][k][1] = u[i][j][k][1] * u31;
flux[i][j][k][2] = u[i][j][k][2] * u31 + C2 * (u[i][j][k][4]-q);
flux[i][j][k][3] = u[i][j][k][3] * u31;
flux[i][j][k][4] = ( C1 * u[i][j][k][4] - C2 * q ) * u31;
}
}
}
#pragma omp for
for (i = ist; i <= iend; i++) {
for (k = 1; k <= nz - 2; k++) {
for (j = jst; j <= jend; j++) {
for (m = 0; m < 5; m++) {
rsd[i][j][k][m] = rsd[i][j][k][m]
- ty2 * ( flux[i][j+1][k][m] - flux[i][j-1][k][m] );
}
}
L2 = ny-1;
for (j = jst; j <= L2; j++) {
tmp = 1.0 / u[i][j][k][0];
u21j = tmp * u[i][j][k][1];
u31j = tmp * u[i][j][k][2];
u41j = tmp * u[i][j][k][3];
u51j = tmp * u[i][j][k][4];
tmp = 1.0 / u[i][j-1][k][0];
u21jm1 = tmp * u[i][j-1][k][1];
u31jm1 = tmp * u[i][j-1][k][2];
u41jm1 = tmp * u[i][j-1][k][3];
u51jm1 = tmp * u[i][j-1][k][4];
flux[i][j][k][1] = ty3 * ( u21j - u21jm1 );
flux[i][j][k][2] = (4.0/3.0) * ty3 * (u31j-u31jm1);
flux[i][j][k][3] = ty3 * ( u41j - u41jm1 );
flux[i][j][k][4] = 0.50 * ( 1.0 - C1*C5 )
* ty3 * ( ( pow2(u21j) + pow2(u31j) + pow2(u41j) )
- ( pow2(u21jm1) + pow2(u31jm1) + pow2(u41jm1) ) )
+ (1.0/6.0)
* ty3 * ( pow2(u31j) - pow2(u31jm1) )
+ C1 * C5 * ty3 * ( u51j - u51jm1 );
}
for (j = jst; j <= jend; j++) {
rsd[i][j][k][0] = rsd[i][j][k][0]
+ dy1 * ty1 * ( u[i][j-1][k][0]
- 2.0 * u[i][j][k][0]
+ u[i][j+1][k][0] );
rsd[i][j][k][1] = rsd[i][j][k][1]
+ ty3 * C3 * C4 * ( flux[i][j+1][k][1] - flux[i][j][k][1] )
+ dy2 * ty1 * ( u[i][j-1][k][1]
- 2.0 * u[i][j][k][1]
+ u[i][j+1][k][1] );
rsd[i][j][k][2] = rsd[i][j][k][2]
+ ty3 * C3 * C4 * ( flux[i][j+1][k][2] - flux[i][j][k][2] )
+ dy3 * ty1 * ( u[i][j-1][k][2]
- 2.0 * u[i][j][k][2]
+ u[i][j+1][k][2] );
rsd[i][j][k][3] = rsd[i][j][k][3]
+ ty3 * C3 * C4 * ( flux[i][j+1][k][3] - flux[i][j][k][3] )
+ dy4 * ty1 * ( u[i][j-1][k][3]
- 2.0 * u[i][j][k][3]
+ u[i][j+1][k][3] );
rsd[i][j][k][4] = rsd[i][j][k][4]
+ ty3 * C3 * C4 * ( flux[i][j+1][k][4] - flux[i][j][k][4] )
+ dy5 * ty1 * ( u[i][j-1][k][4]
- 2.0 * u[i][j][k][4]
+ u[i][j+1][k][4] );
}
/*--------------------------------------------------------------------
c fourth-order dissipation
--------------------------------------------------------------------*/
for (m = 0; m < 5; m++) {
rsd[i][1][k][m] = rsd[i][1][k][m]
- dssp * ( + 5.0 * u[i][1][k][m]
- 4.0 * u[i][2][k][m]
+ u[i][3][k][m] );
rsd[i][2][k][m] = rsd[i][2][k][m]
- dssp * ( - 4.0 * u[i][1][k][m]
+ 6.0 * u[i][2][k][m]
- 4.0 * u[i][3][k][m]
+ u[i][4][k][m] );
}
jst1 = 3;
jend1 = ny - 4;
for (j = jst1; j <= jend1; j++) {
for (m = 0; m < 5; m++) {
rsd[i][j][k][m] = rsd[i][j][k][m]
- dssp * ( u[i][j-2][k][m]
- 4.0 * u[i][j-1][k][m]
+ 6.0 * u[i][j][k][m]
- 4.0 * u[i][j+1][k][m]
+ u[i][j+2][k][m] );
}
}
for (m = 0; m < 5; m++) {
rsd[i][ny-3][k][m] = rsd[i][ny-3][k][m]
- dssp * ( u[i][ny-5][k][m]
- 4.0 * u[i][ny-4][k][m]
+ 6.0 * u[i][ny-3][k][m]
- 4.0 * u[i][ny-2][k][m] );
rsd[i][ny-2][k][m] = rsd[i][ny-2][k][m]
- dssp * ( u[i][ny-4][k][m]
- 4.0 * u[i][ny-3][k][m]
+ 5.0 * u[i][ny-2][k][m] );
}
}
}
/*--------------------------------------------------------------------
c zeta-direction flux differences
--------------------------------------------------------------------*/
#pragma omp for
for (i = ist; i <= iend; i++) {
for (j = jst; j <= jend; j++) {
for (k = 0; k <= nz-1; k++) {
flux[i][j][k][0] = u[i][j][k][3];
u41 = u[i][j][k][3] / u[i][j][k][0];
q = 0.50 * ( u[i][j][k][1] * u[i][j][k][1]
+ u[i][j][k][2] * u[i][j][k][2]
+ u[i][j][k][3] * u[i][j][k][3] )
/ u[i][j][k][0];
flux[i][j][k][1] = u[i][j][k][1] * u41;
flux[i][j][k][2] = u[i][j][k][2] * u41;
flux[i][j][k][3] = u[i][j][k][3] * u41 + C2 * (u[i][j][k][4]-q);
flux[i][j][k][4] = ( C1 * u[i][j][k][4] - C2 * q ) * u41;
}
for (k = 1; k <= nz - 2; k++) {
for (m = 0; m < 5; m++) {
rsd[i][j][k][m] = rsd[i][j][k][m]
- tz2 * ( flux[i][j][k+1][m] - flux[i][j][k-1][m] );
}
}
for (k = 1; k <= nz-1; k++) {
tmp = 1.0 / u[i][j][k][0];
u21k = tmp * u[i][j][k][1];
u31k = tmp * u[i][j][k][2];
u41k = tmp * u[i][j][k][3];
u51k = tmp * u[i][j][k][4];
tmp = 1.0 / u[i][j][k-1][0];
u21km1 = tmp * u[i][j][k-1][1];
u31km1 = tmp * u[i][j][k-1][2];
u41km1 = tmp * u[i][j][k-1][3];
u51km1 = tmp * u[i][j][k-1][4];
flux[i][j][k][1] = tz3 * ( u21k - u21km1 );
flux[i][j][k][2] = tz3 * ( u31k - u31km1 );
flux[i][j][k][3] = (4.0/3.0) * tz3 * (u41k-u41km1);
flux[i][j][k][4] = 0.50 * ( 1.0 - C1*C5 )
* tz3 * ( ( pow2(u21k) + pow2(u31k) + pow2(u41k) )
- ( pow2(u21km1) + pow2(u31km1) + pow2(u41km1) ) )
+ (1.0/6.0)
* tz3 * ( pow2(u41k) - pow2(u41km1) )
+ C1 * C5 * tz3 * ( u51k - u51km1 );
}
for (k = 1; k <= nz - 2; k++) {
rsd[i][j][k][0] = rsd[i][j][k][0]
+ dz1 * tz1 * ( u[i][j][k-1][0]
- 2.0 * u[i][j][k][0]
+ u[i][j][k+1][0] );
rsd[i][j][k][1] = rsd[i][j][k][1]
+ tz3 * C3 * C4 * ( flux[i][j][k+1][1] - flux[i][j][k][1] )
+ dz2 * tz1 * ( u[i][j][k-1][1]
- 2.0 * u[i][j][k][1]
+ u[i][j][k+1][1] );
rsd[i][j][k][2] = rsd[i][j][k][2]
+ tz3 * C3 * C4 * ( flux[i][j][k+1][2] - flux[i][j][k][2] )
+ dz3 * tz1 * ( u[i][j][k-1][2]
- 2.0 * u[i][j][k][2]
+ u[i][j][k+1][2] );
rsd[i][j][k][3] = rsd[i][j][k][3]
+ tz3 * C3 * C4 * ( flux[i][j][k+1][3] - flux[i][j][k][3] )
+ dz4 * tz1 * ( u[i][j][k-1][3]
- 2.0 * u[i][j][k][3]
+ u[i][j][k+1][3] );
rsd[i][j][k][4] = rsd[i][j][k][4]
+ tz3 * C3 * C4 * ( flux[i][j][k+1][4] - flux[i][j][k][4] )
+ dz5 * tz1 * ( u[i][j][k-1][4]
- 2.0 * u[i][j][k][4]
+ u[i][j][k+1][4] );
}
/*--------------------------------------------------------------------
c fourth-order dissipation
--------------------------------------------------------------------*/
for (m = 0; m < 5; m++) {
rsd[i][j][1][m] = rsd[i][j][1][m]
- dssp * ( + 5.0 * u[i][j][1][m]
- 4.0 * u[i][j][2][m]
+ u[i][j][3][m] );
rsd[i][j][2][m] = rsd[i][j][2][m]
- dssp * ( - 4.0 * u[i][j][1][m]
+ 6.0 * u[i][j][2][m]
- 4.0 * u[i][j][3][m]
+ u[i][j][4][m] );
}
for (k = 3; k <= nz - 4; k++) {
for (m = 0; m < 5; m++) {
rsd[i][j][k][m] = rsd[i][j][k][m]
- dssp * ( u[i][j][k-2][m]
- 4.0 * u[i][j][k-1][m]
+ 6.0 * u[i][j][k][m]
- 4.0 * u[i][j][k+1][m]
+ u[i][j][k+2][m] );
}
}
for (m = 0; m < 5; m++) {
rsd[i][j][nz-3][m] = rsd[i][j][nz-3][m]
- dssp * ( u[i][j][nz-5][m]
- 4.0 * u[i][j][nz-4][m]
+ 6.0 * u[i][j][nz-3][m]
- 4.0 * u[i][j][nz-2][m] );
rsd[i][j][nz-2][m] = rsd[i][j][nz-2][m]
- dssp * ( u[i][j][nz-4][m]
- 4.0 * u[i][j][nz-3][m]
+ 5.0 * u[i][j][nz-2][m] );
}
}
}
}
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
static void setbv(void) {
/*--------------------------------------------------------------------
c set the boundary values of dependent variables
--------------------------------------------------------------------*/
/*--------------------------------------------------------------------
c local variables
--------------------------------------------------------------------*/
int i, j, k;
int iglob, jglob;
/*--------------------------------------------------------------------
c set the dependent variable values along the top and bottom faces
--------------------------------------------------------------------*/
#pragma omp for
for (i = 0; i < nx; i++) {
iglob = i;
for (j = 0; j < ny; j++) {
jglob = j;
exact( iglob, jglob, 0, &u[i][j][0][0] );
exact( iglob, jglob, nz-1, &u[i][j][nz-1][0] );
}
}
/*--------------------------------------------------------------------
c set the dependent variable values along north and south faces
--------------------------------------------------------------------*/
#pragma omp for
for (i = 0; i < nx; i++) {
iglob = i;
for (k = 0; k < nz; k++) {
exact( iglob, 0, k, &u[i][0][k][0] );
}
}
#pragma omp for
for (i = 0; i < nx; i++) {
iglob = i;
for (k = 0; k < nz; k++) {
exact( iglob, ny0-1, k, &u[i][ny-1][k][0] );
}
}
/*--------------------------------------------------------------------
c set the dependent variable values along east and west faces
--------------------------------------------------------------------*/
#pragma omp for
for (j = 0; j < ny; j++) {
jglob = j;
for (k = 0; k < nz; k++) {
exact( 0, jglob, k, &u[0][j][k][0] );
}
}
#pragma omp for
for (j = 0; j < ny; j++) {
jglob = j;
for (k = 0; k < nz; k++) {
exact( nx0-1, jglob, k, &u[nx-1][j][k][0] );
}
}
}
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
static void setcoeff(void) {
/*--------------------------------------------------------------------
c set up coefficients
--------------------------------------------------------------------*/
dxi = 1.0 / ( nx0 - 1 );
deta = 1.0 / ( ny0 - 1 );
dzeta = 1.0 / ( nz0 - 1 );
tx1 = 1.0 / ( dxi * dxi );
tx2 = 1.0 / ( 2.0 * dxi );
tx3 = 1.0 / dxi;
ty1 = 1.0 / ( deta * deta );
ty2 = 1.0 / ( 2.0 * deta );
ty3 = 1.0 / deta;
tz1 = 1.0 / ( dzeta * dzeta );
tz2 = 1.0 / ( 2.0 * dzeta );
tz3 = 1.0 / dzeta;
ii1 = 1;
ii2 = nx0 - 2;
ji1 = 1;
ji2 = ny0 - 3;
ki1 = 2;
ki2 = nz0 - 2;
/*--------------------------------------------------------------------
c diffusion coefficients
--------------------------------------------------------------------*/
dx1 = 0.75;
dx2 = dx1;
dx3 = dx1;
dx4 = dx1;
dx5 = dx1;
dy1 = 0.75;
dy2 = dy1;
dy3 = dy1;
dy4 = dy1;
dy5 = dy1;
dz1 = 1.00;
dz2 = dz1;
dz3 = dz1;
dz4 = dz1;
dz5 = dz1;
/*--------------------------------------------------------------------
c fourth difference dissipation
--------------------------------------------------------------------*/
dssp = ( max (dx1, max(dy1, dz1) ) ) / 4.0;
/*--------------------------------------------------------------------
c coefficients of the exact solution to the first pde
--------------------------------------------------------------------*/
ce[0][0] = 2.0;
ce[0][1] = 0.0;
ce[0][2] = 0.0;
ce[0][3] = 4.0;
ce[0][4] = 5.0;
ce[0][5] = 3.0;
ce[0][6] = 5.0e-01;
ce[0][7] = 2.0e-02;
ce[0][8] = 1.0e-02;
ce[0][9] = 3.0e-02;
ce[0][10] = 5.0e-01;
ce[0][11] = 4.0e-01;
ce[0][12] = 3.0e-01;
/*--------------------------------------------------------------------
c coefficients of the exact solution to the second pde
--------------------------------------------------------------------*/
ce[1][0] = 1.0;
ce[1][1] = 0.0;
ce[1][2] = 0.0;
ce[1][3] = 0.0;
ce[1][4] = 1.0;
ce[1][5] = 2.0;
ce[1][6] = 3.0;
ce[1][7] = 1.0e-02;
ce[1][8] = 3.0e-02;
ce[1][9] = 2.0e-02;
ce[1][10] = 4.0e-01;
ce[1][11] = 3.0e-01;
ce[1][12] = 5.0e-01;
/*--------------------------------------------------------------------
c coefficients of the exact solution to the third pde
--------------------------------------------------------------------*/
ce[2][0] = 2.0;
ce[2][1] = 2.0;
ce[2][2] = 0.0;
ce[2][3] = 0.0;
ce[2][4] = 0.0;
ce[2][5] = 2.0;
ce[2][6] = 3.0;
ce[2][7] = 4.0e-02;
ce[2][8] = 3.0e-02;
ce[2][9] = 5.0e-02;
ce[2][10] = 3.0e-01;
ce[2][11] = 5.0e-01;
ce[2][12] = 4.0e-01;
/*--------------------------------------------------------------------
c coefficients of the exact solution to the fourth pde
--------------------------------------------------------------------*/
ce[3][0] = 2.0;
ce[3][1] = 2.0;
ce[3][2] = 0.0;
ce[3][3] = 0.0;
ce[3][4] = 0.0;
ce[3][5] = 2.0;
ce[3][6] = 3.0;
ce[3][7] = 3.0e-02;
ce[3][8] = 5.0e-02;
ce[3][9] = 4.0e-02;
ce[3][10] = 2.0e-01;
ce[3][11] = 1.0e-01;
ce[3][12] = 3.0e-01;
/*--------------------------------------------------------------------
c coefficients of the exact solution to the fifth pde
--------------------------------------------------------------------*/
ce[4][0] = 5.0;
ce[4][1] = 4.0;
ce[4][2] = 3.0;
ce[4][3] = 2.0;
ce[4][4] = 1.0e-01;
ce[4][5] = 4.0e-01;
ce[4][6] = 3.0e-01;
ce[4][7] = 5.0e-02;
ce[4][8] = 4.0e-02;
ce[4][9] = 3.0e-02;
ce[4][10] = 1.0e-01;
ce[4][11] = 3.0e-01;
ce[4][12] = 2.0e-01;
}
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
static void setiv(void) {
/*--------------------------------------------------------------------
c
c set the initial values of independent variables based on tri-linear
c interpolation of boundary values in the computational space.
c
--------------------------------------------------------------------*/
/*--------------------------------------------------------------------
c local variables
--------------------------------------------------------------------*/
int i, j, k, m;
int iglob, jglob;
double xi, eta, zeta;
double pxi, peta, pzeta;
double ue_1jk[5],ue_nx0jk[5],ue_i1k[5],
ue_iny0k[5],ue_ij1[5],ue_ijnz[5];
#pragma omp for
for (j = 0; j < ny; j++) {
jglob = j;
for (k = 1; k < nz - 1; k++) {
zeta = ((double)k) / (nz-1);
if (jglob != 0 && jglob != ny0-1) {
eta = ( (double) (jglob) ) / (ny0-1);
for (i = 0; i < nx; i++) {
iglob = i;
if(iglob != 0 && iglob != nx0-1) {
xi = ( (double) (iglob) ) / (nx0-1);
exact (0,jglob,k,ue_1jk);
exact (nx0-1,jglob,k,ue_nx0jk);
exact (iglob,0,k,ue_i1k);
exact (iglob,ny0-1,k,ue_iny0k);
exact (iglob,jglob,0,ue_ij1);
exact (iglob,jglob,nz-1,ue_ijnz);
for (m = 0; m < 5; m++) {
pxi = ( 1.0 - xi ) * ue_1jk[m]
+ xi * ue_nx0jk[m];
peta = ( 1.0 - eta ) * ue_i1k[m]
+ eta * ue_iny0k[m];
pzeta = ( 1.0 - zeta ) * ue_ij1[m]
+ zeta * ue_ijnz[m];
u[i][j][k][m] = pxi + peta + pzeta
- pxi * peta - peta * pzeta - pzeta * pxi
+ pxi * peta * pzeta;
}
}
}
}
}
}
}
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
static void ssor(void) {
/*--------------------------------------------------------------------
c to perform pseudo-time stepping SSOR iterations
c for five nonlinear pde s.
--------------------------------------------------------------------*/
/*--------------------------------------------------------------------
c local variables
--------------------------------------------------------------------*/
int i, j, k, m;
int istep;
double tmp;
double delunm[5], tv[ISIZ1][ISIZ2][5];
/*--------------------------------------------------------------------
c begin pseudo-time stepping iterations
--------------------------------------------------------------------*/
tmp = 1.0 / ( omega * ( 2.0 - omega ) ) ;
/*--------------------------------------------------------------------
c initialize a,b,c,d to zero (guarantees that page tables have been
c formed, if applicable on given architecture, before timestepping).
--------------------------------------------------------------------*/
#pragma omp parallel private(i,j,k,m)
{
#pragma omp for
for (i = 0; i < ISIZ1; i++) {
for (j = 0; j < ISIZ2; j++) {
for (k = 0; k < 5; k++) {
for (m = 0; m < 5; m++) {
a[i][j][k][m] = 0.0;
b[i][j][k][m] = 0.0;
c[i][j][k][m] = 0.0;
d[i][j][k][m] = 0.0;
}
}
}
}
/*--------------------------------------------------------------------
c compute the steady-state residuals
--------------------------------------------------------------------*/
rhs();
/*--------------------------------------------------------------------
c compute the L2 norms of newton iteration residuals
--------------------------------------------------------------------*/
l2norm( nx0, ny0, nz0,
ist, iend, jst, jend,
rsd, rsdnm );
}
timer_clear(1);
timer_start(1);
/*--------------------------------------------------------------------
c the timestep loop
--------------------------------------------------------------------*/
#pragma omp parallel private(istep,i,j,k,m)
{
for (istep = 1; istep <= itmax; istep++) {
if (istep%20 == 0 || istep == itmax || istep == 1) {
#pragma omp master
printf(" Time step %4d\n", istep);
}
/*--------------------------------------------------------------------
c perform SSOR iteration
--------------------------------------------------------------------*/
#pragma omp for
for (i = ist; i <= iend; i++) {
for (j = jst; j <= jend; j++) {
for (k = 1; k <= nz - 2; k++) {
for (m = 0; m < 5; m++) {
rsd[i][j][k][m] = dt * rsd[i][j][k][m];
}
}
}
}
for (k = 1; k <= nz - 2; k++) {
/*--------------------------------------------------------------------
c form the lower triangular part of the jacobian matrix
--------------------------------------------------------------------*/
jacld(k);
/*--------------------------------------------------------------------
c perform the lower triangular solution
--------------------------------------------------------------------*/
blts(nx, ny, nz, k,
omega,
rsd,
a, b, c, d,
ist, iend, jst, jend,
nx0, ny0 );
}
#pragma omp barrier
for (k = nz - 2; k >= 1; k--) {
/*--------------------------------------------------------------------
c form the strictly upper triangular part of the jacobian matrix
--------------------------------------------------------------------*/
jacu(k);
/*--------------------------------------------------------------------
c perform the upper triangular solution
--------------------------------------------------------------------*/
buts(nx, ny, nz, k,
omega,
rsd, tv,
d, a, b, c,
ist, iend, jst, jend,
nx0, ny0 );
}
#pragma omp barrier
/*--------------------------------------------------------------------
c update the variables
--------------------------------------------------------------------*/
#pragma omp for
for (i = ist; i <= iend; i++) {
for (j = jst; j <= jend; j++) {
for (k = 1; k <= nz-2; k++) {
for (m = 0; m < 5; m++) {
u[i][j][k][m] = u[i][j][k][m]
+ tmp * rsd[i][j][k][m];
}
}
}
}
/*--------------------------------------------------------------------
c compute the max-norms of newton iteration corrections
--------------------------------------------------------------------*/
if ( istep % inorm == 0 ) {
l2norm( nx0, ny0, nz0,
ist, iend, jst, jend,
rsd, delunm );
}
/*--------------------------------------------------------------------
c compute the steady-state residuals
--------------------------------------------------------------------*/
rhs();
/*--------------------------------------------------------------------
c compute the max-norms of newton iteration residuals
--------------------------------------------------------------------*/
if ( ( istep % inorm == 0 ) ||
( istep == itmax ) ) {
l2norm( nx0, ny0, nz0,
ist, iend, jst, jend,
rsd, rsdnm );
}
/*--------------------------------------------------------------------
c check the newton-iteration residuals against the tolerance levels
--------------------------------------------------------------------*/
if ( ( rsdnm[0] < tolrsd[0] ) &&
( rsdnm[1] < tolrsd[1] ) &&
( rsdnm[2] < tolrsd[2] ) &&
( rsdnm[3] < tolrsd[3] ) &&
( rsdnm[4] < tolrsd[4] ) ) {
exit(1);
}
}
} /* end parallel */
timer_stop(1);
maxtime= timer_read(1);
}
/*--------------------------------------------------------------------
--------------------------------------------------------------------*/
static void verify(double xcr[5], double xce[5], double xci,
char *cclass, boolean *verified) {
/*--------------------------------------------------------------------
c verification routine
--------------------------------------------------------------------*/
double xcrref[5],xceref[5],xciref,
xcrdif[5],xcedif[5],xcidif,
epsilon, dtref;
int m;
/*--------------------------------------------------------------------
c tolerance level
--------------------------------------------------------------------*/
epsilon = 1.0e-08;
*cclass = 'U';
*verified = TRUE;
for (m = 0; m < 5; m++) {
xcrref[m] = 1.0;
xceref[m] = 1.0;
}
xciref = 1.0;
if ( nx0 == 12 && ny0 == 12 && nz0 == 12 && itmax == 50) {
*cclass = 'S';
dtref = 5.0e-1;
/*--------------------------------------------------------------------
c Reference values of RMS-norms of residual, for the (12X12X12) grid,
c after 50 time steps, with DT = 5.0d-01
--------------------------------------------------------------------*/
xcrref[0] = 1.6196343210976702e-02;
xcrref[1] = 2.1976745164821318e-03;
xcrref[2] = 1.5179927653399185e-03;
xcrref[3] = 1.5029584435994323e-03;
xcrref[4] = 3.4264073155896461e-02;
/*--------------------------------------------------------------------
c Reference values of RMS-norms of solution error, for the (12X12X12) grid,
c after 50 time steps, with DT = 5.0d-01
--------------------------------------------------------------------*/
xceref[0] = 6.4223319957960924e-04;
xceref[1] = 8.4144342047347926e-05;
xceref[2] = 5.8588269616485186e-05;
xceref[3] = 5.8474222595157350e-05;
xceref[4] = 1.3103347914111294e-03;
/*--------------------------------------------------------------------
c Reference value of surface integral, for the (12X12X12) grid,
c after 50 time steps, with DT = 5.0d-01
--------------------------------------------------------------------*/
xciref = 7.8418928865937083;
} else if ( nx0 == 33 && ny0 == 33 && nz0 == 33 && itmax == 300) {
*cclass = 'W'; /* SPEC95fp size */
dtref = 1.5e-3;
/*--------------------------------------------------------------------
c Reference values of RMS-norms of residual, for the (33x33x33) grid,
c after 300 time steps, with DT = 1.5d-3
--------------------------------------------------------------------*/
xcrref[0] = 0.1236511638192e+02;
xcrref[1] = 0.1317228477799e+01;
xcrref[2] = 0.2550120713095e+01;
xcrref[3] = 0.2326187750252e+01;
xcrref[4] = 0.2826799444189e+02;
/*--------------------------------------------------------------------
c Reference values of RMS-norms of solution error, for the (33X33X33) grid,
--------------------------------------------------------------------*/
xceref[0] = 0.4867877144216;
xceref[1] = 0.5064652880982e-01;
xceref[2] = 0.9281818101960e-01;
xceref[3] = 0.8570126542733e-01;
xceref[4] = 0.1084277417792e+01;
/*--------------------------------------------------------------------
c Reference value of surface integral, for the (33X33X33) grid,
c after 300 time steps, with DT = 1.5d-3
--------------------------------------------------------------------*/
xciref = 0.1161399311023e+02;
} else if ( nx0 == 64 && ny0 == 64 && nz0 == 64 && itmax == 250) {
*cclass = 'A';
dtref = 2.0e+0;
/*--------------------------------------------------------------------
c Reference values of RMS-norms of residual, for the (64X64X64) grid,
c after 250 time steps, with DT = 2.0d+0.0
--------------------------------------------------------------------*/
xcrref[0] = 7.7902107606689367e+02;
xcrref[1] = 6.3402765259692870e+01;
xcrref[2] = 1.9499249727292479e+02;
xcrref[3] = 1.7845301160418537e+02;
xcrref[4] = 1.8384760349464247e+03;
/*--------------------------------------------------------------------
c Reference values of RMS-norms of solution error, for the (64X64X64) grid,
c after 250 time steps, with DT = 2.0d+0.0
--------------------------------------------------------------------*/
xceref[0] = 2.9964085685471943e+01;
xceref[1] = 2.8194576365003349;
xceref[2] = 7.3473412698774742;
xceref[3] = 6.7139225687777051;
xceref[4] = 7.0715315688392578e+01;
/*--------------------------------------------------------------------
c Reference value of surface integral, for the (64X64X64) grid,
c after 250 time steps, with DT = 2.0d+0.0
--------------------------------------------------------------------*/
xciref = 2.6030925604886277e+01;
} else if ( nx0 == 102 && ny0 == 102 && nz0 == 102 && itmax == 250) {
*cclass = 'B';
dtref = 2.0e+0;
/*--------------------------------------------------------------------
c Reference values of RMS-norms of residual, for the (102X102X102) grid,
c after 250 time steps, with DT = 2.0d+0.0
--------------------------------------------------------------------*/
xcrref[0] = 3.5532672969982736e+03;
xcrref[1] = 2.6214750795310692e+02;
xcrref[2] = 8.8333721850952190e+02;
xcrref[3] = 7.7812774739425265e+02;
xcrref[4] = 7.3087969592545314e+03;
/*--------------------------------------------------------------------
c Reference values of RMS-norms of solution error, for the (102X102X102)
c grid, after 250 time steps, with DT = 2.0d+0.0
--------------------------------------------------------------------*/
xceref[0] = 1.1401176380212709e+02;
xceref[1] = 8.1098963655421574;
xceref[2] = 2.8480597317698308e+01;
xceref[3] = 2.5905394567832939e+01;
xceref[4] = 2.6054907504857413e+02;
/*--------------------------------------------------------------------
c Reference value of surface integral, for the (102X102X102) grid,
c after 250 time steps, with DT = 2.0d+0.0
--------------------------------------------------------------------*/
xciref = 4.7887162703308227e+01;
} else if ( nx0 == 162 && ny0 == 162 && nz0 == 162 && itmax == 250) {
*cclass = 'C';
dtref = 2.0e+0;
/*--------------------------------------------------------------------
c Reference values of RMS-norms of residual, for the (162X162X162) grid,
c after 250 time steps, with DT = 2.0d+0.0
--------------------------------------------------------------------*/
xcrref[0] = 1.03766980323537846e+04;
xcrref[1] = 8.92212458801008552e+02;
xcrref[2] = 2.56238814582660871e+03;
xcrref[3] = 2.19194343857831427e+03;
xcrref[4] = 1.78078057261061185e+04;
/*--------------------------------------------------------------------
c Reference values of RMS-norms of solution error, for the (162X162X162)
c grid, after 250 time steps, with DT = 2.0d+0.0
--------------------------------------------------------------------*/
xceref[0] = 2.15986399716949279e+02;
xceref[1] = 1.55789559239863600e+01;
xceref[2] = 5.41318863077207766e+01;
xceref[3] = 4.82262643154045421e+01;
xceref[4] = 4.55902910043250358e+02;
/*--------------------------------------------------------------------
c Reference value of surface integral, for the (162X162X162) grid,
c after 250 time steps, with DT = 2.0d+0.0
--------------------------------------------------------------------*/
xciref = 6.66404553572181300e+01;
} else {
*verified = FALSE;
}
/*--------------------------------------------------------------------
c verification test for residuals if gridsize is either 12X12X12 or
c 64X64X64 or 102X102X102 or 162X162X162
--------------------------------------------------------------------*/
/*--------------------------------------------------------------------
c Compute the difference of solution values and the known reference values.
--------------------------------------------------------------------*/
for (m = 0; m < 5; m++) {
xcrdif[m] = fabs((xcr[m]-xcrref[m])/xcrref[m]);
xcedif[m] = fabs((xce[m]-xceref[m])/xceref[m]);
}
xcidif = fabs((xci - xciref)/xciref);
/*--------------------------------------------------------------------
c Output the comparison of computed results to known cases.
--------------------------------------------------------------------*/
if (*cclass != 'U') {
printf("\n Verification being performed for cclass %1c\n", *cclass);
printf(" Accuracy setting for epsilon = %20.13e\n", epsilon);
if (fabs(dt-dtref) > epsilon) {
*verified = FALSE;
*cclass = 'U';
printf(" DT does not match the reference value of %15.8e\n", dtref);
}
} else {
printf(" Unknown cclass\n");
}
if (*cclass != 'U') {
printf(" Comparison of RMS-norms of residual\n");
} else {
printf(" RMS-norms of residual\n");
}
for (m = 0; m < 5; m++) {
if (*cclass == 'U') {
printf(" %2d %20.13e\n", m, xcr[m]);
} else if (xcrdif[m] > epsilon) {
*verified = FALSE;
printf(" FAILURE: %2d %20.13e%20.13e%20.13e\n",
m,xcr[m],xcrref[m],xcrdif[m]);
} else {
printf(" %2d %20.13e%20.13e%20.13e\n",
m,xcr[m],xcrref[m],xcrdif[m]);
}
}
if (*cclass != 'U') {
printf(" Comparison of RMS-norms of solution error\n");
} else {
printf(" RMS-norms of solution error\n");
}
for (m = 0; m < 5; m++) {
if (*cclass == 'U') {
printf(" %2d %20.13e\n", m, xce[m]);
} else if (xcedif[m] > epsilon) {
*verified = FALSE;
printf(" FAILURE: %2d %20.13e%20.13e%20.13e\n",
m,xce[m],xceref[m],xcedif[m]);
} else {
printf(" %2d %20.13e%20.13e%20.13e\n",
m,xce[m],xceref[m],xcedif[m]);
}
}
if (*cclass != 'U') {
printf(" Comparison of surface integral\n");
} else {
printf(" Surface integral\n");
}
if (*cclass == 'U') {
printf(" %20.13e\n", xci);
} else if (xcidif > epsilon) {
*verified = FALSE;
printf(" FAILURE: %20.13e%20.13e%20.13e\n",
xci, xciref, xcidif);
} else {
printf(" %20.13e%20.13e%20.13e\n",
xci, xciref, xcidif);
}
if (*cclass == 'U') {
printf(" No reference values provided\n");
printf(" No verification performed\n");
} else if (*verified) {
printf(" Verification Successful\n");
} else {
printf(" Verification failed\n");
}
}
/* cat ./common/c_print_results.c */
/*****************************************************************/
/****** C _ P R I N T _ R E S U L T S ******/
/*****************************************************************/
void c_print_results( char *name,
char cclass,
int n1,
int n2,
int n3,
int niter,
int nthreads,
double t,
double mops,
char *optype,
int passed_verification,
char *npbversion,
char *compiletime,
char *cc,
char *clink,
char *c_lib,
char *c_inc,
char *cflags,
char *clinkflags,
char *rand)
{
char *evalue="1000";
printf( "\n\n %s Benchmark Completed\n", name );
printf( " Class = %c\n", cclass );
if( n2 == 0 && n3 == 0 )
printf( " Size = %12d\n", n1 ); /* as in IS */
else
printf( " Size = %3dx%3dx%3d\n", n1,n2,n3 );
printf( " Iterations = %12d\n", niter );
printf( " Threads = %12d\n", nthreads );
printf( " Time in seconds = %12.2f\n", t );
printf( " Mop/s total = %12.2f\n", mops );
printf( " Operation type = %24s\n", optype);
if( passed_verification )
printf( " Verification = SUCCESSFUL\n" );
else
printf( " Verification = UNSUCCESSFUL\n" );
printf( " Version = %12s\n", npbversion );
printf( " Compile date = %12s\n", compiletime );
printf( "\n Compile options:\n" );
printf( " CC = %s\n", cc );
printf( " CLINK = %s\n", clink );
printf( " C_LIB = %s\n", c_lib );
printf( " C_INC = %s\n", c_inc );
printf( " CFLAGS = %s\n", cflags );
printf( " CLINKFLAGS = %s\n", clinkflags );
printf( " RAND = %s\n", rand );
#ifdef SMP
evalue = getenv("MP_SET_NUMTHREADS");
printf( " MULTICPUS = %s\n", evalue );
#endif
/* printf( "\n\n" );
printf( " Please send the results of this run to:\n\n" );
printf( " NPB Development Team\n" );
printf( " Internet: npb@nas.nasa.gov\n \n" );
printf( " If email is not available, send this to:\n\n" );
printf( " MS T27A-1\n" );
printf( " NASA Ames Research Center\n" );
printf( " Moffett Field, CA 94035-1000\n\n" );
printf( " Fax: 415-604-3957\n\n" );*/
}
/*
cat ./common/c_timers.c
*/
/*
#include "wtime.h"
#if defined(IBM)
#define wtime wtime
#elif defined(CRAY)
#define wtime WTIME
#else
#define wtime wtime_
#endif
*/
/* Prototype */
void wtime( double * );
/*****************************************************************/
/****** E L A P S E D _ T I M E ******/
/*****************************************************************/
double elapsed_time( void )
{
double t;
wtime( &t );
return( t );
}
double start[64], elapsed[64];
/*****************************************************************/
/****** T I M E R _ C L E A R ******/
/*****************************************************************/
void timer_clear( int n )
{
elapsed[n] = 0.0;
}
/*****************************************************************/
/****** T I M E R _ S T A R T ******/
/*****************************************************************/
void timer_start( int n )
{
start[n] = elapsed_time();
}
/*****************************************************************/
/****** T I M E R _ S T O P ******/
/*****************************************************************/
void timer_stop( int n )
{
double t, now;
now = elapsed_time();
t = now - start[n];
elapsed[n] += t;
}
/*****************************************************************/
/****** T I M E R _ R E A D ******/
/*****************************************************************/
double timer_read( int n )
{
return( elapsed[n] );
}
void wtime(double *t)
{
static int sec = -1;
struct timeval tv;
gettimeofday(&tv, (void *)0);
// gettimeofday(&tv, (struct timezone *)0);
if (sec < 0) sec = tv.tv_sec;
*t = (tv.tv_sec - sec) + 1.0e-6*tv.tv_usec;
}
// common/c_randdp.c
/*
*/
#if defined(USE_POW)
#define r23 pow(0.5, 23.0)
#define r46 (r23*r23)
#define t23 pow(2.0, 23.0)
#define t46 (t23*t23)
#else
#define r23 (0.5*0.5*0.5*0.5*0.5*0.5*0.5*0.5*0.5*0.5*0.5*0.5*0.5*0.5*0.5*0.5*0.5*0.5*0.5*0.5*0.5*0.5*0.5)
#define r46 (r23*r23)
#define t23 (2.0*2.0*2.0*2.0*2.0*2.0*2.0*2.0*2.0*2.0*2.0*2.0*2.0*2.0*2.0*2.0*2.0*2.0*2.0*2.0*2.0*2.0*2.0)
#define t46 (t23*t23)
#endif
/*c---------------------------------------------------------------------
c---------------------------------------------------------------------*/
double randlc (double *x, double a) {
/*c---------------------------------------------------------------------
c---------------------------------------------------------------------*/
/*c---------------------------------------------------------------------
c
c This routine returns a uniform pseudorandom double precision number in the
c range (0, 1) by using the linear congruential generator
c
c x_{k+1} = a x_k (mod 2^46)
c
c where 0 < x_k < 2^46 and 0 < a < 2^46. This scheme generates 2^44 numbers
c before repeating. The argument A is the same as 'a' in the above formula,
c and X is the same as x_0. A and X must be odd double precision integers
c in the range (1, 2^46). The returned value RANDLC is normalized to be
c between 0 and 1, i.e. RANDLC = 2^(-46) * x_1. X is updated to contain
c the new seed x_1, so that subsequent calls to RANDLC using the same
c arguments will generate a continuous sequence.
c
c This routine should produce the same results on any computer with at least
c 48 mantissa bits in double precision floating point data. On 64 bit
c systems, double precision should be disabled.
c
c David H. Bailey October 26, 1990
c
c---------------------------------------------------------------------*/
double t1,t2,t3,t4,a1,a2,x1,x2,z;
/*c---------------------------------------------------------------------
c Break A into two parts such that A = 2^23 * A1 + A2.
c---------------------------------------------------------------------*/
t1 = r23 * a;
a1 = (int)t1;
a2 = a - t23 * a1;
/*c---------------------------------------------------------------------
c Break X into two parts such that X = 2^23 * X1 + X2, compute
c Z = A1 * X2 + A2 * X1 (mod 2^23), and then
c X = 2^23 * Z + A2 * X2 (mod 2^46).
c---------------------------------------------------------------------*/
t1 = r23 * (*x);
x1 = (int)t1;
x2 = (*x) - t23 * x1;
t1 = a1 * x2 + a2 * x1;
t2 = (int)(r23 * t1);
z = t1 - t23 * t2;
t3 = t23 * z + a2 * x2;
t4 = (int)(r46 * t3);
(*x) = t3 - t46 * t4;
return (r46 * (*x));
}
/*c---------------------------------------------------------------------
c---------------------------------------------------------------------*/
void vranlc (int n, double *x_seed, double a, double* y) {
/* void vranlc (int n, double *x_seed, double a, double y[]) { */
/*c---------------------------------------------------------------------
c---------------------------------------------------------------------*/
/*c---------------------------------------------------------------------
c
c This routine generates N uniform pseudorandom double precision numbers in
c the range (0, 1) by using the linear congruential generator
c
c x_{k+1} = a x_k (mod 2^46)
c
c where 0 < x_k < 2^46 and 0 < a < 2^46. This scheme generates 2^44 numbers
c before repeating. The argument A is the same as 'a' in the above formula,
c and X is the same as x_0. A and X must be odd double precision integers
c in the range (1, 2^46). The N results are placed in Y and are normalized
c to be between 0 and 1. X is updated to contain the new seed, so that
c subsequent calls to VRANLC using the same arguments will generate a
c continuous sequence. If N is zero, only initialization is performed, and
c the variables X, A and Y are ignored.
c
c This routine is the standard version designed for scalar or RISC systems.
c However, it should produce the same results on any single processor
c computer with at least 48 mantissa bits in double precision floating point
c data. On 64 bit systems, double precision should be disabled.
c
c---------------------------------------------------------------------*/
int i;
double x,t1,t2,t3,t4,a1,a2,x1,x2,z;
/*c---------------------------------------------------------------------
c Break A into two parts such that A = 2^23 * A1 + A2.
c---------------------------------------------------------------------*/
t1 = r23 * a;
a1 = (int)t1;
a2 = a - t23 * a1;
x = *x_seed;
/*c---------------------------------------------------------------------
c Generate N results. This loop is not vectorizable.
c---------------------------------------------------------------------*/
for (i = 1; i <= n; i++) {
/*c---------------------------------------------------------------------
c Break X into two parts such that X = 2^23 * X1 + X2, compute
c Z = A1 * X2 + A2 * X1 (mod 2^23), and then
c X = 2^23 * Z + A2 * X2 (mod 2^46).
c---------------------------------------------------------------------*/
t1 = r23 * x;
x1 = (int)t1;
x2 = x - t23 * x1;
t1 = a1 * x2 + a2 * x1;
t2 = (int)(r23 * t1);
z = t1 - t23 * t2;
t3 = t23 * z + a2 * x2;
t4 = (int)(r46 * t3);
x = t3 - t46 * t4;
y[i] = r46 * x;
}
*x_seed = x;
}
|
GB_binop__le_uint8.c |
//------------------------------------------------------------------------------
// GB_binop: hard-coded functions for each built-in binary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2022, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated2/ folder, do not edit it
// (it is auto-generated from Generator/*).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_emult.h"
#include "GB_control.h"
#include "GB_ek_slice.h"
#include "GB_dense.h"
#include "GB_atomics.h"
#include "GB_bitmap_assign_methods.h"
#include "GB_binop__include.h"
// C=binop(A,B) is defined by the following types and operators:
// A+B function (eWiseAdd): GB (_AaddB__le_uint8)
// A.*B function (eWiseMult): GB (_AemultB_08__le_uint8)
// A.*B function (eWiseMult): GB (_AemultB_02__le_uint8)
// A.*B function (eWiseMult): GB (_AemultB_04__le_uint8)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__le_uint8)
// A*D function (colscale): GB (_AxD__le_uint8)
// D*A function (rowscale): GB (_DxB__le_uint8)
// C+=B function (dense accum): GB (_Cdense_accumB__le_uint8)
// C+=b function (dense accum): GB (_Cdense_accumb__le_uint8)
// C+=A+B function (dense ewise3): GB ((none))
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__le_uint8)
// C=scalar+B GB (_bind1st__le_uint8)
// C=scalar+B' GB (_bind1st_tran__le_uint8)
// C=A+scalar GB (_bind2nd__le_uint8)
// C=A'+scalar GB (_bind2nd_tran__le_uint8)
// C type: bool
// A type: uint8_t
// A pattern? 0
// B type: uint8_t
// B pattern? 0
// BinaryOp: cij = (aij <= bij)
#define GB_ATYPE \
uint8_t
#define GB_BTYPE \
uint8_t
#define GB_CTYPE \
bool
// true if the types of A and B are identical
#define GB_ATYPE_IS_BTYPE \
1
// true if the types of C and A are identical
#define GB_CTYPE_IS_ATYPE \
0
// true if the types of C and B are identical
#define GB_CTYPE_IS_BTYPE \
0
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA,A_iso) \
uint8_t aij = GBX (Ax, pA, A_iso)
// true if values of A are not used
#define GB_A_IS_PATTERN \
0 \
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB,B_iso) \
uint8_t bij = GBX (Bx, pB, B_iso)
// true if values of B are not used
#define GB_B_IS_PATTERN \
0 \
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
bool t
// cij = Ax [pA]
#define GB_COPY_A_TO_C(cij,Ax,pA,A_iso) \
cij = GBX (Ax, pA, A_iso)
// cij = Bx [pB]
#define GB_COPY_B_TO_C(cij,Bx,pB,B_iso) \
cij = GBX (Bx, pB, B_iso)
#define GB_CX(p) Cx [p]
// binary operator
#define GB_BINOP(z,x,y,i,j) \
z = (x <= y) ;
// true if the binop must be flipped
#define GB_BINOP_FLIP \
0
// op is second
#define GB_OP_IS_SECOND \
0
// do the numerical phases of GB_add and GB_emult
#define GB_PHASE_2_OF_2
// hard-coded loops can be vectorized
#define GB_PRAGMA_SIMD_VECTORIZE GB_PRAGMA_SIMD
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_LE || GxB_NO_UINT8 || GxB_NO_LE_UINT8)
//------------------------------------------------------------------------------
// C += A+B, all 3 matrices dense
//------------------------------------------------------------------------------
#if 0
// The op must be MIN, MAX, PLUS, MINUS, RMINUS, TIMES, DIV, or RDIV.
void GB ((none))
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_accum_template.c"
}
#endif
//------------------------------------------------------------------------------
// C = A+B, all 3 matrices dense
//------------------------------------------------------------------------------
void GB (_Cdense_ewise3_noaccum__le_uint8)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_noaccum_template.c"
}
//------------------------------------------------------------------------------
// C += B, accumulate a sparse matrix into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumB__le_uint8)
(
GrB_Matrix C,
const GrB_Matrix B,
const int64_t *B_ek_slicing, const int B_ntasks, const int B_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if 0
{
#include "GB_dense_subassign_23_template.c"
}
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += b, accumulate a scalar into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumb__le_uint8)
(
GrB_Matrix C,
const GB_void *p_bwork,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if 0
{
// get the scalar b for C += b, of type uint8_t
uint8_t bwork = (*((uint8_t *) p_bwork)) ;
#include "GB_dense_subassign_22_template.c"
return (GrB_SUCCESS) ;
}
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = A*D, column scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_AxD__le_uint8)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix D,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
bool *restrict Cx = (bool *) C->x ;
#include "GB_AxB_colscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = D*B, row scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_DxB__le_uint8)
(
GrB_Matrix C,
const GrB_Matrix D,
const GrB_Matrix B,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
bool *restrict Cx = (bool *) C->x ;
#include "GB_AxB_rowscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseAdd: C=A+B, C<M>=A+B, C<!M>=A+B
//------------------------------------------------------------------------------
GrB_Info GB (_AaddB__le_uint8)
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool is_eWiseUnion,
const GB_void *alpha_scalar_in,
const GB_void *beta_scalar_in,
const bool Ch_is_Mh,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GB_WERK_DECLARE (M_ek_slicing, int64_t) ;
GB_WERK_DECLARE (A_ek_slicing, int64_t) ;
GB_WERK_DECLARE (B_ek_slicing, int64_t) ;
uint8_t alpha_scalar ;
uint8_t beta_scalar ;
if (is_eWiseUnion)
{
alpha_scalar = (*((uint8_t *) alpha_scalar_in)) ;
beta_scalar = (*((uint8_t *) beta_scalar_in )) ;
}
#include "GB_add_template.c"
GB_FREE_WORKSPACE ;
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, or C<M!>=A.*B where C is sparse/hyper
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_08__le_uint8)
(
GrB_Matrix C,
const int C_sparsity,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_08_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<#> = A.*B when A is sparse/hyper and B is bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_02__le_uint8)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool flipxy,
const int64_t *restrict Cp_kfirst,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if GB_BINOP_FLIP
// The operator is not commutative, and does not have a flipped
// variant. For example z=atan2(y,x).
if (flipxy)
{
// use fmult(y,x)
#undef GB_FLIPPED
#define GB_FLIPPED 1
#include "GB_emult_02_template.c"
}
else
{
// use fmult(x,y)
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
}
#else
// No need to handle the flip: the operator is either commutative, or
// has been handled by changing z=div(y,x) to z=rdiv(x,y) for example.
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<M> = A.*B, M sparse/hyper, A and B bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_04__le_uint8)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict Cp_kfirst,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_04_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, C<!M>=A.*B where C is bitmap
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_bitmap__le_uint8)
(
GrB_Matrix C,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_bitmap_emult_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (x,Bx): apply a binary operator to a matrix with scalar bind1st
//------------------------------------------------------------------------------
GrB_Info GB (_bind1st__le_uint8)
(
GB_void *Cx_output, // Cx and Bx may be aliased
const GB_void *x_input,
const GB_void *Bx_input,
const int8_t *restrict Bb,
int64_t bnz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
bool *Cx = (bool *) Cx_output ;
uint8_t x = (*((uint8_t *) x_input)) ;
uint8_t *Bx = (uint8_t *) Bx_input ;
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < bnz ; p++)
{
if (!GBB (Bb, p)) continue ;
uint8_t bij = GBX (Bx, p, false) ;
Cx [p] = (x <= bij) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB (_bind2nd__le_uint8)
(
GB_void *Cx_output, // Cx and Ax may be aliased
const GB_void *Ax_input,
const GB_void *y_input,
const int8_t *restrict Ab,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
bool *Cx = (bool *) Cx_output ;
uint8_t *Ax = (uint8_t *) Ax_input ;
uint8_t y = (*((uint8_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
uint8_t aij = GBX (Ax, p, false) ;
Cx [p] = (aij <= y) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (x, A'): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (x, aij), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
uint8_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = (x <= aij) ; \
}
GrB_Info GB (_bind1st_tran__le_uint8)
(
GrB_Matrix C,
const GB_void *x_input,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
// GB_unop_transpose.c uses GB_ATYPE, but A is
// the 2nd input to binary operator z=f(x,y).
#undef GB_ATYPE
#define GB_ATYPE \
uint8_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint8_t x = (*((const uint8_t *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
uint8_t
}
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (aij, y), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
uint8_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = (aij <= y) ; \
}
GrB_Info GB (_bind2nd_tran__le_uint8)
(
GrB_Matrix C,
const GrB_Matrix A,
const GB_void *y_input,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint8_t y = (*((const uint8_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
9728.c | // this source is derived from CHILL AST originally from file '/uufs/chpc.utah.edu/common/home/u1142914/lib/ytopt_vinu/polybench/polybench-code/stencils/fdtd-2d/kernel.c' as parsed by frontend compiler rose
void kernel_fdtd_2d(int tmax, int nx, int ny, double ex[1000 + 0][1200 + 0], double ey[1000 + 0][1200 + 0], double hz[1000 + 0][1200 + 0], double _fict_[500 + 0]) {
int t10;
int t8;
int t6;
int t4;
int t2;
for (t2 = 0; t2 <= tmax - 1; t2 += 1) {
for (t4 = 0; t4 <= ny - 1; t4 += 1)
ey[0][t4] = _fict_[t2];
#pragma omp parallel for private(t4,t6,t8,t10)
for (t4 = 1; t4 <= nx - 1; t4 += 16)
for (t6 = t4; t6 <= (t4 + 15 < nx - 1 ? t4 + 15 : nx - 1); t6 += 1)
for (t8 = 0; t8 <= ny - 1; t8 += 16)
for (t10 = t8; t10 <= (ny - 1 < t8 + 15 ? ny - 1 : t8 + 15); t10 += 1)
ey[t6][t10] = ey[t6][t10] - 0.5 * (hz[t6][t10] - hz[t6 - 1][t10]);
#pragma omp parallel for private(t4,t6,t8,t10)
for (t4 = 0; t4 <= nx - 1; t4 += 16)
for (t6 = t4; t6 <= (t4 + 15 < nx - 1 ? t4 + 15 : nx - 1); t6 += 1)
for (t8 = 1; t8 <= ny - 1; t8 += 16)
for (t10 = t8; t10 <= (ny - 1 < t8 + 15 ? ny - 1 : t8 + 15); t10 += 1)
ex[t6][t10] = ex[t6][t10] - 0.5 * (hz[t6][t10] - hz[t6][t10 - 1]);
#pragma omp parallel for private(t4,t6,t8,t10)
for (t4 = 0; t4 <= nx - 2; t4 += 16)
for (t6 = t4; t6 <= (t4 + 15 < nx - 2 ? t4 + 15 : nx - 2); t6 += 1)
for (t8 = 0; t8 <= ny - 2; t8 += 16)
for (t10 = t8; t10 <= (ny - 2 < t8 + 15 ? ny - 2 : t8 + 15); t10 += 1)
hz[t6][t10] = hz[t6][t10] - 0.69999999999999996 * (ex[t6][t10 + 1] - ex[t6][t10] + ey[t6 + 1][t10] - ey[t6][t10]);
}
}
|
yescrypt-opt_c.h | /*-
* Copyright 2009 Colin Percival
* Copyright 2013,2014 Alexander Peslyak
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
* 1. Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* 2. Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
*
* THIS SOFTWARE IS PROVIDED BY THE AUTHOR AND CONTRIBUTORS ``AS IS'' AND
* ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
* ARE DISCLAIMED. IN NO EVENT SHALL THE AUTHOR OR CONTRIBUTORS BE LIABLE
* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS
* OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)
* HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY
* OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF
* SUCH DAMAGE.
*
* This file was originally written by Colin Percival as part of the Tarsnap
* online backup system.
*/
#ifdef __i386__
#warning "This implementation does not use SIMD, and thus it runs a lot slower than the SIMD-enabled implementation. Enable at least SSE2 in the C compiler and use yescrypt-best.c instead unless you're building this SIMD-less implementation on purpose (portability to older CPUs or testing)."
#elif defined(__x86_64__)
#warning "This implementation does not use SIMD, and thus it runs a lot slower than the SIMD-enabled implementation. Use yescrypt-best.c instead unless you're building this SIMD-less implementation on purpose (for testing only)."
#endif
#include <errno.h>
#include <stdint.h>
#include <stdlib.h>
#include "sha256.h"
#include "sysendian.h"
#include "yescrypt.h"
#include "yescrypt-platform_c.h"
static inline void
blkcpy(uint64_t * dest, const uint64_t * src, size_t count)
{
do {
*dest++ = *src++; *dest++ = *src++;
*dest++ = *src++; *dest++ = *src++;
} while (count -= 4);
}
static inline void
blkxor(uint64_t * dest, const uint64_t * src, size_t count)
{
do {
*dest++ ^= *src++; *dest++ ^= *src++;
*dest++ ^= *src++; *dest++ ^= *src++;
} while (count -= 4);
}
typedef union {
uint32_t w[16];
uint64_t d[8];
} salsa20_blk_t;
static inline void
salsa20_simd_shuffle(const salsa20_blk_t * Bin, salsa20_blk_t * Bout)
{
#define COMBINE(out, in1, in2) \
Bout->d[out] = Bin->w[in1 * 2] | ((uint64_t)Bin->w[in2 * 2 + 1] << 32);
COMBINE(0, 0, 2)
COMBINE(1, 5, 7)
COMBINE(2, 2, 4)
COMBINE(3, 7, 1)
COMBINE(4, 4, 6)
COMBINE(5, 1, 3)
COMBINE(6, 6, 0)
COMBINE(7, 3, 5)
#undef COMBINE
}
static inline void
salsa20_simd_unshuffle(const salsa20_blk_t * Bin, salsa20_blk_t * Bout)
{
#define COMBINE(out, in1, in2) \
Bout->w[out * 2] = Bin->d[in1]; \
Bout->w[out * 2 + 1] = Bin->d[in2] >> 32;
COMBINE(0, 0, 6)
COMBINE(1, 5, 3)
COMBINE(2, 2, 0)
COMBINE(3, 7, 5)
COMBINE(4, 4, 2)
COMBINE(5, 1, 7)
COMBINE(6, 6, 4)
COMBINE(7, 3, 1)
#undef COMBINE
}
/**
* salsa20_8(B):
* Apply the salsa20/8 core to the provided block.
*/
static void
salsa20_8(uint64_t B[8])
{
size_t i;
salsa20_blk_t X;
#define x X.w
salsa20_simd_unshuffle((const salsa20_blk_t *)B, &X);
for (i = 0; i < 8; i += 2) {
#define R(a,b) (((a) << (b)) | ((a) >> (32 - (b))))
/* Operate on columns */
x[ 4] ^= R(x[ 0]+x[12], 7); x[ 8] ^= R(x[ 4]+x[ 0], 9);
x[12] ^= R(x[ 8]+x[ 4],13); x[ 0] ^= R(x[12]+x[ 8],18);
x[ 9] ^= R(x[ 5]+x[ 1], 7); x[13] ^= R(x[ 9]+x[ 5], 9);
x[ 1] ^= R(x[13]+x[ 9],13); x[ 5] ^= R(x[ 1]+x[13],18);
x[14] ^= R(x[10]+x[ 6], 7); x[ 2] ^= R(x[14]+x[10], 9);
x[ 6] ^= R(x[ 2]+x[14],13); x[10] ^= R(x[ 6]+x[ 2],18);
x[ 3] ^= R(x[15]+x[11], 7); x[ 7] ^= R(x[ 3]+x[15], 9);
x[11] ^= R(x[ 7]+x[ 3],13); x[15] ^= R(x[11]+x[ 7],18);
/* Operate on rows */
x[ 1] ^= R(x[ 0]+x[ 3], 7); x[ 2] ^= R(x[ 1]+x[ 0], 9);
x[ 3] ^= R(x[ 2]+x[ 1],13); x[ 0] ^= R(x[ 3]+x[ 2],18);
x[ 6] ^= R(x[ 5]+x[ 4], 7); x[ 7] ^= R(x[ 6]+x[ 5], 9);
x[ 4] ^= R(x[ 7]+x[ 6],13); x[ 5] ^= R(x[ 4]+x[ 7],18);
x[11] ^= R(x[10]+x[ 9], 7); x[ 8] ^= R(x[11]+x[10], 9);
x[ 9] ^= R(x[ 8]+x[11],13); x[10] ^= R(x[ 9]+x[ 8],18);
x[12] ^= R(x[15]+x[14], 7); x[13] ^= R(x[12]+x[15], 9);
x[14] ^= R(x[13]+x[12],13); x[15] ^= R(x[14]+x[13],18);
#undef R
}
#undef x
{
salsa20_blk_t Y;
salsa20_simd_shuffle(&X, &Y);
for (i = 0; i < 16; i += 4) {
((salsa20_blk_t *)B)->w[i] += Y.w[i];
((salsa20_blk_t *)B)->w[i + 1] += Y.w[i + 1];
((salsa20_blk_t *)B)->w[i + 2] += Y.w[i + 2];
((salsa20_blk_t *)B)->w[i + 3] += Y.w[i + 3];
}
}
}
/**
* blockmix_salsa8(Bin, Bout, X, r):
* Compute Bout = BlockMix_{salsa20/8, r}(Bin). The input Bin must be 128r
* bytes in length; the output Bout must also be the same size. The
* temporary space X must be 64 bytes.
*/
static void
blockmix_salsa8(const uint64_t * Bin, uint64_t * Bout, uint64_t * X, size_t r)
{
size_t i;
/* 1: X <-- B_{2r - 1} */
blkcpy(X, &Bin[(2 * r - 1) * 8], 8);
/* 2: for i = 0 to 2r - 1 do */
for (i = 0; i < 2 * r; i += 2) {
/* 3: X <-- H(X \xor B_i) */
blkxor(X, &Bin[i * 8], 8);
salsa20_8(X);
/* 4: Y_i <-- X */
/* 6: B' <-- (Y_0, Y_2 ... Y_{2r-2}, Y_1, Y_3 ... Y_{2r-1}) */
blkcpy(&Bout[i * 4], X, 8);
/* 3: X <-- H(X \xor B_i) */
blkxor(X, &Bin[i * 8 + 8], 8);
salsa20_8(X);
/* 4: Y_i <-- X */
/* 6: B' <-- (Y_0, Y_2 ... Y_{2r-2}, Y_1, Y_3 ... Y_{2r-1}) */
blkcpy(&Bout[i * 4 + r * 8], X, 8);
}
}
/* These are tunable */
#define S_BITS 8
#define S_SIMD 2
#define S_P 4
#define S_ROUNDS 6
/* Number of S-boxes. Not tunable, hard-coded in a few places. */
#define S_N 2
/* Derived values. Not tunable on their own. */
#define S_SIZE1 (1 << S_BITS)
#define S_MASK ((S_SIZE1 - 1) * S_SIMD * 8)
#define S_MASK2 (((uint64_t)S_MASK << 32) | S_MASK)
#define S_SIZE_ALL (S_N * S_SIZE1 * S_SIMD)
#define S_P_SIZE (S_P * S_SIMD)
#define S_MIN_R ((S_P * S_SIMD + 15) / 16)
/**
* pwxform(B):
* Transform the provided block using the provided S-boxes.
*/
static void
block_pwxform(uint64_t * B, const uint64_t * S)
{
uint64_t (*X)[S_SIMD] = (uint64_t (*)[S_SIMD])B;
const uint8_t *S0 = (const uint8_t *)S;
const uint8_t *S1 = (const uint8_t *)(S + S_SIZE1 * S_SIMD);
size_t i, j;
#if S_SIMD > 2
size_t k;
#endif
for (j = 0; j < S_P; j++) {
uint64_t *Xj = X[j];
uint64_t x0 = Xj[0];
#if S_SIMD > 1
uint64_t x1 = Xj[1];
#endif
for (i = 0; i < S_ROUNDS; i++) {
uint64_t x = x0 & S_MASK2;
const uint64_t *p0, *p1;
p0 = (const uint64_t *)(S0 + (uint32_t)x);
p1 = (const uint64_t *)(S1 + (x >> 32));
x0 = (uint64_t)(x0 >> 32) * (uint32_t)x0;
x0 += p0[0];
x0 ^= p1[0];
#if S_SIMD > 1
x1 = (uint64_t)(x1 >> 32) * (uint32_t)x1;
x1 += p0[1];
x1 ^= p1[1];
#endif
#if S_SIMD > 2
for (k = 2; k < S_SIMD; k++) {
x = Xj[k];
x = (uint64_t)(x >> 32) * (uint32_t)x;
x += p0[k];
x ^= p1[k];
Xj[k] = x;
}
#endif
}
Xj[0] = x0;
#if S_SIMD > 1
Xj[1] = x1;
#endif
}
}
/**
* blockmix_pwxform(Bin, Bout, S, r):
* Compute Bout = BlockMix_pwxform{salsa20/8, S, r}(Bin). The input Bin must
* be 128r bytes in length; the output Bout must also be the same size.
*
* S lacks const qualifier to match blockmix_salsa8()'s prototype, which we
* need to refer to both functions via the same function pointers.
*/
static void
blockmix_pwxform(const uint64_t * Bin, uint64_t * Bout, uint64_t * S, size_t r)
{
size_t r1, r2, i;
/* Convert 128-byte blocks to (S_P_SIZE * 64-bit) blocks */
r1 = r * 128 / (S_P_SIZE * 8);
/* X <-- B_{r1 - 1} */
blkcpy(Bout, &Bin[(r1 - 1) * S_P_SIZE], S_P_SIZE);
/* X <-- X \xor B_i */
blkxor(Bout, Bin, S_P_SIZE);
/* X <-- H'(X) */
/* B'_i <-- X */
block_pwxform(Bout, S);
/* for i = 0 to r1 - 1 do */
for (i = 1; i < r1; i++) {
/* X <-- X \xor B_i */
blkcpy(&Bout[i * S_P_SIZE], &Bout[(i - 1) * S_P_SIZE],
S_P_SIZE);
blkxor(&Bout[i * S_P_SIZE], &Bin[i * S_P_SIZE], S_P_SIZE);
/* X <-- H'(X) */
/* B'_i <-- X */
block_pwxform(&Bout[i * S_P_SIZE], S);
}
/* Handle partial blocks */
if (i * S_P_SIZE < r * 16)
blkcpy(&Bout[i * S_P_SIZE], &Bin[i * S_P_SIZE],
r * 16 - i * S_P_SIZE);
i = (r1 - 1) * S_P_SIZE / 8;
/* Convert 128-byte blocks to 64-byte blocks */
r2 = r * 2;
/* B'_i <-- H(B'_i) */
salsa20_8(&Bout[i * 8]);
i++;
for (; i < r2; i++) {
/* B'_i <-- H(B'_i \xor B'_{i-1}) */
blkxor(&Bout[i * 8], &Bout[(i - 1) * 8], 8);
salsa20_8(&Bout[i * 8]);
}
}
/**
* integerify(B, r):
* Return the result of parsing B_{2r-1} as a little-endian integer.
*/
static inline uint64_t
integerify(const uint64_t * B, size_t r)
{
/*
* Our 64-bit words are in host byte order, and word 6 holds the second 32-bit
* word of B_{2r-1} due to SIMD shuffling. The 64-bit value we return is also
* in host byte order, as it should be.
*/
const uint64_t * X = &B[(2 * r - 1) * 8];
uint32_t lo = X[0];
uint32_t hi = X[6] >> 32;
return ((uint64_t)hi << 32) + lo;
}
/**
* smix1(B, r, N, flags, V, NROM, shared, XY, S):
* Compute first loop of B = SMix_r(B, N). The input B must be 128r bytes in
* length; the temporary storage V must be 128rN bytes in length; the temporary
* storage XY must be 256r + 64 bytes in length. The value N must be even and
* no smaller than 2.
*/
static void
smix1(uint64_t * B, size_t r, uint64_t N, yescrypt_flags_t flags,
uint64_t * V, uint64_t NROM, const yescrypt_shared_t * shared,
uint64_t * XY, uint64_t * S)
{
void (*blockmix)(const uint64_t *, uint64_t *, uint64_t *, size_t) =
(S ? blockmix_pwxform : blockmix_salsa8);
const uint64_t * VROM = shared->shared1.aligned;
uint32_t VROM_mask = shared->mask1;
size_t s = 16 * r;
uint64_t * X = V;
uint64_t * Y = &XY[s];
uint64_t * Z = S ? S : &XY[2 * s];
uint64_t n, i, j;
size_t k;
/* 1: X <-- B */
/* 3: V_i <-- X */
for (i = 0; i < 2 * r; i++) {
const salsa20_blk_t *src = (const salsa20_blk_t *)&B[i * 8];
salsa20_blk_t *tmp = (salsa20_blk_t *)Y;
salsa20_blk_t *dst = (salsa20_blk_t *)&X[i * 8];
for (k = 0; k < 16; k++)
tmp->w[k] = le32dec(&src->w[k]);
salsa20_simd_shuffle(tmp, dst);
}
/* 4: X <-- H(X) */
/* 3: V_i <-- X */
blockmix(X, Y, Z, r);
blkcpy(&V[s], Y, s);
X = XY;
if (NROM && (VROM_mask & 1)) {
if ((1 & VROM_mask) == 1) {
/* j <-- Integerify(X) mod NROM */
j = integerify(Y, r) & (NROM - 1);
/* X <-- H(X \xor VROM_j) */
blkxor(Y, &VROM[j * s], s);
}
blockmix(Y, X, Z, r);
/* 2: for i = 0 to N - 1 do */
for (n = 1, i = 2; i < N; i += 2) {
/* 3: V_i <-- X */
blkcpy(&V[i * s], X, s);
if ((i & (i - 1)) == 0)
n <<= 1;
/* j <-- Wrap(Integerify(X), i) */
j = integerify(X, r) & (n - 1);
j += i - n;
/* X <-- X \xor V_j */
blkxor(X, &V[j * s], s);
/* 4: X <-- H(X) */
blockmix(X, Y, Z, r);
/* 3: V_i <-- X */
blkcpy(&V[(i + 1) * s], Y, s);
j = integerify(Y, r);
if (((i + 1) & VROM_mask) == 1) {
/* j <-- Integerify(X) mod NROM */
j &= NROM - 1;
/* X <-- H(X \xor VROM_j) */
blkxor(Y, &VROM[j * s], s);
} else {
/* j <-- Wrap(Integerify(X), i) */
j &= n - 1;
j += i + 1 - n;
/* X <-- H(X \xor V_j) */
blkxor(Y, &V[j * s], s);
}
blockmix(Y, X, Z, r);
}
} else {
yescrypt_flags_t rw = flags & YESCRYPT_RW;
/* 4: X <-- H(X) */
blockmix(Y, X, Z, r);
/* 2: for i = 0 to N - 1 do */
for (n = 1, i = 2; i < N; i += 2) {
/* 3: V_i <-- X */
blkcpy(&V[i * s], X, s);
if (rw) {
if ((i & (i - 1)) == 0)
n <<= 1;
/* j <-- Wrap(Integerify(X), i) */
j = integerify(X, r) & (n - 1);
j += i - n;
/* X <-- X \xor V_j */
blkxor(X, &V[j * s], s);
}
/* 4: X <-- H(X) */
blockmix(X, Y, Z, r);
/* 3: V_i <-- X */
blkcpy(&V[(i + 1) * s], Y, s);
if (rw) {
/* j <-- Wrap(Integerify(X), i) */
j = integerify(Y, r) & (n - 1);
j += (i + 1) - n;
/* X <-- X \xor V_j */
blkxor(Y, &V[j * s], s);
}
/* 4: X <-- H(X) */
blockmix(Y, X, Z, r);
}
}
/* B' <-- X */
for (i = 0; i < 2 * r; i++) {
const salsa20_blk_t *src = (const salsa20_blk_t *)&X[i * 8];
salsa20_blk_t *tmp = (salsa20_blk_t *)Y;
salsa20_blk_t *dst = (salsa20_blk_t *)&B[i * 8];
for (k = 0; k < 16; k++)
le32enc(&tmp->w[k], src->w[k]);
salsa20_simd_unshuffle(tmp, dst);
}
}
/**
* smix2(B, r, N, Nloop, flags, V, NROM, shared, XY, S):
* Compute second loop of B = SMix_r(B, N). The input B must be 128r bytes in
* length; the temporary storage V must be 128rN bytes in length; the temporary
* storage XY must be 256r + 64 bytes in length. The value N must be a
* power of 2 greater than 1. The value Nloop must be even.
*/
static void
smix2(uint64_t * B, size_t r, uint64_t N, uint64_t Nloop,
yescrypt_flags_t flags,
uint64_t * V, uint64_t NROM, const yescrypt_shared_t * shared,
uint64_t * XY, uint64_t * S)
{
void (*blockmix)(const uint64_t *, uint64_t *, uint64_t *, size_t) =
(S ? blockmix_pwxform : blockmix_salsa8);
const uint64_t * VROM = shared->shared1.aligned;
uint32_t VROM_mask = shared->mask1 | 1;
size_t s = 16 * r;
yescrypt_flags_t rw = flags & YESCRYPT_RW;
uint64_t * X = XY;
uint64_t * Y = &XY[s];
uint64_t * Z = S ? S : &XY[2 * s];
uint64_t i, j;
size_t k;
if (Nloop == 0)
return;
/* X <-- B' */
for (i = 0; i < 2 * r; i++) {
const salsa20_blk_t *src = (const salsa20_blk_t *)&B[i * 8];
salsa20_blk_t *tmp = (salsa20_blk_t *)Y;
salsa20_blk_t *dst = (salsa20_blk_t *)&X[i * 8];
for (k = 0; k < 16; k++)
tmp->w[k] = le32dec(&src->w[k]);
salsa20_simd_shuffle(tmp, dst);
}
if (NROM) {
/* 6: for i = 0 to N - 1 do */
for (i = 0; i < Nloop; i += 2) {
/* 7: j <-- Integerify(X) mod N */
j = integerify(X, r) & (N - 1);
/* 8: X <-- H(X \xor V_j) */
blkxor(X, &V[j * s], s);
/* V_j <-- Xprev \xor V_j */
if (rw)
blkcpy(&V[j * s], X, s);
blockmix(X, Y, Z, r);
j = integerify(Y, r);
if (((i + 1) & VROM_mask) == 1) {
/* j <-- Integerify(X) mod NROM */
j &= NROM - 1;
/* X <-- H(X \xor VROM_j) */
blkxor(Y, &VROM[j * s], s);
} else {
/* 7: j <-- Integerify(X) mod N */
j &= N - 1;
/* 8: X <-- H(X \xor V_j) */
blkxor(Y, &V[j * s], s);
/* V_j <-- Xprev \xor V_j */
if (rw)
blkcpy(&V[j * s], Y, s);
}
blockmix(Y, X, Z, r);
}
} else {
/* 6: for i = 0 to N - 1 do */
i = Nloop / 2;
do {
/* 7: j <-- Integerify(X) mod N */
j = integerify(X, r) & (N - 1);
/* 8: X <-- H(X \xor V_j) */
blkxor(X, &V[j * s], s);
/* V_j <-- Xprev \xor V_j */
if (rw)
blkcpy(&V[j * s], X, s);
blockmix(X, Y, Z, r);
/* 7: j <-- Integerify(X) mod N */
j = integerify(Y, r) & (N - 1);
/* 8: X <-- H(X \xor V_j) */
blkxor(Y, &V[j * s], s);
/* V_j <-- Xprev \xor V_j */
if (rw)
blkcpy(&V[j * s], Y, s);
blockmix(Y, X, Z, r);
} while (--i);
}
/* 10: B' <-- X */
for (i = 0; i < 2 * r; i++) {
const salsa20_blk_t *src = (const salsa20_blk_t *)&X[i * 8];
salsa20_blk_t *tmp = (salsa20_blk_t *)Y;
salsa20_blk_t *dst = (salsa20_blk_t *)&B[i * 8];
for (k = 0; k < 16; k++)
le32enc(&tmp->w[k], src->w[k]);
salsa20_simd_unshuffle(tmp, dst);
}
}
/**
* p2floor(x):
* Largest power of 2 not greater than argument.
*/
static uint64_t
p2floor(uint64_t x)
{
uint64_t y;
while ((y = x & (x - 1)))
x = y;
return x;
}
/**
* smix(B, r, N, p, t, flags, V, NROM, shared, XY, S):
* Compute B = SMix_r(B, N). The input B must be 128rp bytes in length; the
* temporary storage V must be 128rN bytes in length; the temporary storage
* XY must be 256r+64 or (256r+64)*p bytes in length (the larger size is
* required with OpenMP-enabled builds). The value N must be a power of 2
* greater than 1.
*/
static void
smix(uint64_t * B, size_t r, uint64_t N, uint32_t p, uint32_t t,
yescrypt_flags_t flags,
uint64_t * V, uint64_t NROM, const yescrypt_shared_t * shared,
uint64_t * XY, uint64_t * S)
{
size_t s = 16 * r;
uint64_t Nchunk = N / p, Nloop_all, Nloop_rw;
uint32_t i;
Nloop_all = Nchunk;
if (flags & YESCRYPT_RW) {
if (t <= 1) {
if (t)
Nloop_all *= 2; /* 2/3 */
Nloop_all = (Nloop_all + 2) / 3; /* 1/3, round up */
} else {
Nloop_all *= t - 1;
}
} else if (t) {
if (t == 1)
Nloop_all += (Nloop_all + 1) / 2; /* 1.5, round up */
Nloop_all *= t;
}
Nloop_rw = 0;
if (flags & __YESCRYPT_INIT_SHARED)
Nloop_rw = Nloop_all;
else if (flags & YESCRYPT_RW)
Nloop_rw = Nloop_all / p;
Nchunk &= ~(uint64_t)1; /* round down to even */
Nloop_all++; Nloop_all &= ~(uint64_t)1; /* round up to even */
Nloop_rw &= ~(uint64_t)1; /* round down to even */
#ifdef _OPENMP
#pragma omp parallel if (p > 1) default(none) private(i) shared(B, r, N, p, flags, V, NROM, shared, XY, S, s, Nchunk, Nloop_all, Nloop_rw)
{
#pragma omp for
#endif
for (i = 0; i < p; i++) {
uint64_t Vchunk = i * Nchunk;
uint64_t * Bp = &B[i * s];
uint64_t * Vp = &V[Vchunk * s];
#ifdef _OPENMP
uint64_t * XYp = &XY[i * (2 * s + 8)];
#else
uint64_t * XYp = XY;
#endif
uint64_t Np = (i < p - 1) ? Nchunk : (N - Vchunk);
uint64_t * Sp = S ? &S[i * S_SIZE_ALL] : S;
if (Sp)
smix1(Bp, 1, S_SIZE_ALL / 16,
flags & ~YESCRYPT_PWXFORM,
Sp, NROM, shared, XYp, NULL);
if (!(flags & __YESCRYPT_INIT_SHARED_2))
smix1(Bp, r, Np, flags, Vp, NROM, shared, XYp, Sp);
smix2(Bp, r, p2floor(Np), Nloop_rw, flags, Vp,
NROM, shared, XYp, Sp);
}
if (Nloop_all > Nloop_rw) {
#ifdef _OPENMP
#pragma omp for
#endif
for (i = 0; i < p; i++) {
uint64_t * Bp = &B[i * s];
#ifdef _OPENMP
uint64_t * XYp = &XY[i * (2 * s + 8)];
#else
uint64_t * XYp = XY;
#endif
uint64_t * Sp = S ? &S[i * S_SIZE_ALL] : S;
smix2(Bp, r, N, Nloop_all - Nloop_rw,
flags & ~YESCRYPT_RW, V, NROM, shared, XYp, Sp);
}
}
#ifdef _OPENMP
}
#endif
}
/**
* yescrypt_kdf(shared, local, passwd, passwdlen, salt, saltlen,
* N, r, p, t, flags, buf, buflen):
* Compute scrypt(passwd[0 .. passwdlen - 1], salt[0 .. saltlen - 1], N, r,
* p, buflen), or a revision of scrypt as requested by flags and shared, and
* write the result into buf. The parameters r, p, and buflen must satisfy
* r * p < 2^30 and buflen <= (2^32 - 1) * 32. The parameter N must be a power
* of 2 greater than 1.
*
* t controls computation time while not affecting peak memory usage. shared
* and flags may request special modes as described in yescrypt.h. local is
* the thread-local data structure, allowing to preserve and reuse a memory
* allocation across calls, thereby reducing its overhead.
*
* Return 0 on success; or -1 on error.
*/
static int
yescrypt_kdf(const yescrypt_shared_t * shared, yescrypt_local_t * local,
const uint8_t * passwd, size_t passwdlen,
const uint8_t * salt, size_t saltlen,
uint64_t N, uint32_t r, uint32_t p, uint32_t t, yescrypt_flags_t flags,
uint8_t * buf, size_t buflen)
{
yescrypt_region_t tmp;
uint64_t NROM;
size_t B_size, V_size, XY_size, need;
uint64_t * B, * V, * XY, * S;
uint64_t sha256[4];
/*
* YESCRYPT_PARALLEL_SMIX is a no-op at p = 1 for its intended purpose,
* so don't let it have side-effects. Without this adjustment, it'd
* enable the SHA-256 password pre-hashing and output post-hashing,
* because any deviation from classic scrypt implies those.
*/
if (p == 1)
flags &= ~YESCRYPT_PARALLEL_SMIX;
/* Sanity-check parameters */
if (flags & ~YESCRYPT_KNOWN_FLAGS) {
errno = EINVAL;
return -1;
}
#if SIZE_MAX > UINT32_MAX
if (buflen > (((uint64_t)(1) << 32) - 1) * 32) {
errno = EFBIG;
return -1;
}
#endif
if ((uint64_t)(r) * (uint64_t)(p) >= (1 << 30)) {
errno = EFBIG;
return -1;
}
if (((N & (N - 1)) != 0) || (N <= 1) || (r < 1) || (p < 1)) {
errno = EINVAL;
return -1;
}
if ((flags & YESCRYPT_PARALLEL_SMIX) && (N / p <= 1)) {
errno = EINVAL;
return -1;
}
#if S_MIN_R > 1
if ((flags & YESCRYPT_PWXFORM) && (r < S_MIN_R)) {
errno = EINVAL;
return -1;
}
#endif
if ((p > SIZE_MAX / ((size_t)256 * r + 64)) ||
#if SIZE_MAX / 256 <= UINT32_MAX
(r > SIZE_MAX / 256) ||
#endif
(N > SIZE_MAX / 128 / r)) {
errno = ENOMEM;
return -1;
}
if (N > UINT64_MAX / ((uint64_t)t + 1)) {
errno = EFBIG;
return -1;
}
#ifdef _OPENMP
if (!(flags & YESCRYPT_PARALLEL_SMIX) &&
(N > SIZE_MAX / 128 / (r * p))) {
errno = ENOMEM;
return -1;
}
#endif
if ((flags & YESCRYPT_PWXFORM) &&
#ifndef _OPENMP
(flags & YESCRYPT_PARALLEL_SMIX) &&
#endif
p > SIZE_MAX / (S_SIZE_ALL * sizeof(*S))) {
errno = ENOMEM;
return -1;
}
NROM = 0;
if (shared->shared1.aligned) {
NROM = shared->shared1.aligned_size / ((size_t)128 * r);
if (((NROM & (NROM - 1)) != 0) || (NROM <= 1) ||
!(flags & YESCRYPT_RW)) {
errno = EINVAL;
return -1;
}
}
/* Allocate memory */
V = NULL;
V_size = (size_t)128 * r * N;
#ifdef _OPENMP
if (!(flags & YESCRYPT_PARALLEL_SMIX))
V_size *= p;
#endif
need = V_size;
if (flags & __YESCRYPT_INIT_SHARED) {
if (local->aligned_size < need) {
if (local->base || local->aligned ||
local->base_size || local->aligned_size) {
errno = EINVAL;
return -1;
}
if (!alloc_region(local, need))
return -1;
}
V = (uint64_t *)local->aligned;
need = 0;
}
B_size = (size_t)128 * r * p;
need += B_size;
if (need < B_size) {
errno = ENOMEM;
return -1;
}
XY_size = (size_t)256 * r + 64;
#ifdef _OPENMP
XY_size *= p;
#endif
need += XY_size;
if (need < XY_size) {
errno = ENOMEM;
return -1;
}
if (flags & YESCRYPT_PWXFORM) {
size_t S_size = S_SIZE_ALL * sizeof(*S);
#ifdef _OPENMP
S_size *= p;
#else
if (flags & YESCRYPT_PARALLEL_SMIX)
S_size *= p;
#endif
need += S_size;
if (need < S_size) {
errno = ENOMEM;
return -1;
}
}
if (flags & __YESCRYPT_INIT_SHARED) {
if (!alloc_region(&tmp, need))
return -1;
B = (uint64_t *)tmp.aligned;
XY = (uint64_t *)((uint8_t *)B + B_size);
} else {
init_region(&tmp);
if (local->aligned_size < need) {
if (free_region(local))
return -1;
if (!alloc_region(local, need))
return -1;
}
B = (uint64_t *)local->aligned;
V = (uint64_t *)((uint8_t *)B + B_size);
XY = (uint64_t *)((uint8_t *)V + V_size);
}
S = NULL;
if (flags & YESCRYPT_PWXFORM)
S = (uint64_t *)((uint8_t *)XY + XY_size);
if (t || flags) {
SHA256_CTX ctx;
SHA256_Init(&ctx);
SHA256_Update(&ctx, passwd, passwdlen);
SHA256_Final((uint8_t *)sha256, &ctx);
passwd = (uint8_t *)sha256;
passwdlen = sizeof(sha256);
}
/* 1: (B_0 ... B_{p-1}) <-- PBKDF2(P, S, 1, p * MFLen) */
PBKDF2_SHA256(passwd, passwdlen, salt, saltlen, 1,
(uint8_t *)B, B_size);
if (t || flags)
blkcpy(sha256, B, sizeof(sha256) / sizeof(sha256[0]));
if (p == 1 || (flags & YESCRYPT_PARALLEL_SMIX)) {
smix(B, r, N, p, t, flags, V, NROM, shared, XY, S);
} else {
uint32_t i;
/* 2: for i = 0 to p - 1 do */
#ifdef _OPENMP
#pragma omp parallel for default(none) private(i) shared(B, r, N, p, t, flags, V, NROM, shared, XY, S)
#endif
for (i = 0; i < p; i++) {
/* 3: B_i <-- MF(B_i, N) */
#ifdef _OPENMP
smix(&B[(size_t)16 * r * i], r, N, 1, t, flags,
&V[(size_t)16 * r * i * N],
NROM, shared,
&XY[((size_t)32 * r + 8) * i],
S ? &S[S_SIZE_ALL * i] : S);
#else
smix(&B[(size_t)16 * r * i], r, N, 1, t, flags, V,
NROM, shared, XY, S);
#endif
}
}
/* 5: DK <-- PBKDF2(P, B, 1, dkLen) */
PBKDF2_SHA256(passwd, passwdlen, (uint8_t *)B, B_size, 1, buf, buflen);
/*
* Except when computing classic scrypt, allow all computation so far
* to be performed on the client. The final steps below match those of
* SCRAM (RFC 5802), so that an extension of SCRAM (with the steps so
* far in place of SCRAM's use of PBKDF2 and with SHA-256 in place of
* SCRAM's use of SHA-1) would be usable with yescrypt hashes.
*/
if ((t || flags) && buflen == sizeof(sha256)) {
/* Compute ClientKey */
{
HMAC_SHA256_CTX ctx;
HMAC_SHA256_Init(&ctx, buf, buflen);
HMAC_SHA256_Update(&ctx, "Client Key", 10);
HMAC_SHA256_Final((uint8_t *)sha256, &ctx);
}
/* Compute StoredKey */
{
SHA256_CTX ctx;
SHA256_Init(&ctx);
SHA256_Update(&ctx, (uint8_t *)sha256, sizeof(sha256));
SHA256_Final(buf, &ctx);
}
}
if (free_region(&tmp))
return -1;
/* Success! */
return 0;
}
|
DRB110-ordered-orig-no.c | /*
Copyright (c) 2017, Lawrence Livermore National Security, LLC.
Produced at the Lawrence Livermore National Laboratory
Written by Chunhua Liao, Pei-Hung Lin, Joshua Asplund,
Markus Schordan, and Ian Karlin
(email: liao6@llnl.gov, lin32@llnl.gov, asplund1@llnl.gov,
schordan1@llnl.gov, karlin1@llnl.gov)
LLNL-CODE-732144
All rights reserved.
This file is part of DataRaceBench. For details, see
https://github.com/LLNL/dataracebench. Please also see the LICENSE file
for our additional BSD notice.
Redistribution and use in source and binary forms, with
or without modification, are permitted provided that the following
conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the disclaimer below.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the disclaimer (as noted below)
in the documentation and/or other materials provided with the
distribution.
* Neither the name of the LLNS/LLNL nor the names of its contributors
may be used to endorse or promote products derived from this
software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND
CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES,
INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF
MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL LAWRENCE LIVERMORE NATIONAL
SECURITY, LLC, THE U.S. DEPARTMENT OF ENERGY OR CONTRIBUTORS BE
LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY,
OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING
IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF
THE POSSIBILITY OF SUCH DAMAGE.
*/
#include <assert.h>
#include <stdio.h>
/* This is a program based on a test contributed by Yizi Gu@Rice Univ.
* Proper user of ordered directive and clause, no data races
* */
int main()
{
int x =0;
#pragma omp parallel for ordered schedule(dynamic)
for (int i = 0; i < 100; ++i) {
#pragma omp ordered
{
x++;
}
}
assert (x==100);
printf ("x=%d\n",x);
return 0;
}
|
par_nongalerkin.c | /******************************************************************************
* Copyright (c) 1998 Lawrence Livermore National Security, LLC and other
* HYPRE Project Developers. See the top-level COPYRIGHT file for details.
*
* SPDX-License-Identifier: (Apache-2.0 OR MIT)
******************************************************************************/
#include "_hypre_parcsr_ls.h"
#include "../HYPRE.h"
/* This file contains the routines for constructing non-Galerkin coarse grid
* operators, based on the original Galerkin coarse grid
*/
/* Take all of the indices from indices[start, start+1, start+2, ..., end]
* and take the corresponding entries in array and place them in-order in output.
* Assumptions:
* output is of length end-start+1
* indices never contains an index that goes out of bounds in array
* */
HYPRE_Int
hypre_GrabSubArray(HYPRE_Int * indices,
HYPRE_Int start,
HYPRE_Int end,
HYPRE_BigInt * array,
HYPRE_BigInt * output)
{
HYPRE_Int i, length;
length = end - start + 1;
for (i = 0; i < length; i++)
{ output[i] = array[ indices[start + i] ]; }
return 0;
}
/* Compute the intersection of x and y, placing
* the intersection in z. Additionally, the array
* x_data is associated with x, i.e., the entries
* that we grab from x, we also grab from x_data.
* If x[k] is placed in z[m], then x_data[k] goes to
* output_x_data[m].
*
* Assumptions:
* z is of length min(x_length, y_length)
* x and y are sorted
* x_length and y_length are similar in size, otherwise,
* looping over the smaller array and doing binary search
* in the longer array is faster.
* */
HYPRE_Int
hypre_IntersectTwoArrays(HYPRE_Int *x,
HYPRE_Real *x_data,
HYPRE_Int x_length,
HYPRE_Int *y,
HYPRE_Int y_length,
HYPRE_Int *z,
HYPRE_Real *output_x_data,
HYPRE_Int *intersect_length)
{
HYPRE_Int x_index = 0;
HYPRE_Int y_index = 0;
*intersect_length = 0;
/* Compute Intersection, looping over each array */
while ( (x_index < x_length) && (y_index < y_length) )
{
if (x[x_index] > y[y_index])
{
y_index = y_index + 1;
}
else if (x[x_index] < y[y_index])
{
x_index = x_index + 1;
}
else
{
z[*intersect_length] = x[x_index];
output_x_data[*intersect_length] = x_data[x_index];
x_index = x_index + 1;
y_index = y_index + 1;
*intersect_length = *intersect_length + 1;
}
}
return 1;
}
HYPRE_Int
hypre_IntersectTwoBigArrays(HYPRE_BigInt *x,
HYPRE_Real *x_data,
HYPRE_Int x_length,
HYPRE_BigInt *y,
HYPRE_Int y_length,
HYPRE_BigInt *z,
HYPRE_Real *output_x_data,
HYPRE_Int *intersect_length)
{
HYPRE_Int x_index = 0;
HYPRE_Int y_index = 0;
*intersect_length = 0;
/* Compute Intersection, looping over each array */
while ( (x_index < x_length) && (y_index < y_length) )
{
if (x[x_index] > y[y_index])
{
y_index = y_index + 1;
}
else if (x[x_index] < y[y_index])
{
x_index = x_index + 1;
}
else
{
z[*intersect_length] = x[x_index];
output_x_data[*intersect_length] = x_data[x_index];
x_index = x_index + 1;
y_index = y_index + 1;
*intersect_length = *intersect_length + 1;
}
}
return 1;
}
/* Copy CSR matrix A to CSR matrix B. The column indices are
* assumed to be sorted, and the sparsity pattern of B is a subset
* of the sparsity pattern of A.
*
* Assumptions:
* Column indices of A and B are sorted
* Sparsity pattern of B is a subset of A's
* A and B are the same size and have same data layout
**/
HYPRE_Int
hypre_SortedCopyParCSRData(hypre_ParCSRMatrix *A,
hypre_ParCSRMatrix *B)
{
/* Grab off A and B's data structures */
hypre_CSRMatrix *A_diag = hypre_ParCSRMatrixDiag(A);
HYPRE_Int *A_diag_i = hypre_CSRMatrixI(A_diag);
HYPRE_Int *A_diag_j = hypre_CSRMatrixJ(A_diag);
HYPRE_Real *A_diag_data = hypre_CSRMatrixData(A_diag);
hypre_CSRMatrix *A_offd = hypre_ParCSRMatrixOffd(A);
HYPRE_Int *A_offd_i = hypre_CSRMatrixI(A_offd);
HYPRE_Int *A_offd_j = hypre_CSRMatrixJ(A_offd);
HYPRE_Real *A_offd_data = hypre_CSRMatrixData(A_offd);
hypre_CSRMatrix *B_diag = hypre_ParCSRMatrixDiag(B);
HYPRE_Int *B_diag_i = hypre_CSRMatrixI(B_diag);
HYPRE_Int *B_diag_j = hypre_CSRMatrixJ(B_diag);
HYPRE_Real *B_diag_data = hypre_CSRMatrixData(B_diag);
hypre_CSRMatrix *B_offd = hypre_ParCSRMatrixOffd(B);
HYPRE_Int *B_offd_i = hypre_CSRMatrixI(B_offd);
HYPRE_Int *B_offd_j = hypre_CSRMatrixJ(B_offd);
HYPRE_Real *B_offd_data = hypre_CSRMatrixData(B_offd);
HYPRE_Int num_variables = hypre_CSRMatrixNumRows(A_diag);
HYPRE_Int *temp_int_array = NULL;
HYPRE_Int temp_int_array_length = 0;
HYPRE_Int i, length, offset_A, offset_B;
for (i = 0; i < num_variables; i++)
{
/* Deal with the first row entries, which may be diagonal elements */
if ( A_diag_j[A_diag_i[i]] == i)
{ offset_A = 1; }
else
{ offset_A = 0; }
if ( B_diag_j[B_diag_i[i]] == i)
{ offset_B = 1; }
else
{ offset_B = 0; }
if ( (offset_B == 1) && (offset_A == 1) )
{ B_diag_data[B_diag_i[i]] = A_diag_data[A_diag_i[i]]; }
/* This finds the intersection of the column indices, and
* also copies the matching data in A to the data array in B
**/
if ( (A_diag_i[i + 1] - A_diag_i[i] - offset_A) > temp_int_array_length )
{
hypre_TFree(temp_int_array, HYPRE_MEMORY_HOST);
temp_int_array_length = (A_diag_i[i + 1] - A_diag_i[i] - offset_A);
temp_int_array = hypre_CTAlloc(HYPRE_Int, temp_int_array_length, HYPRE_MEMORY_HOST);
}
hypre_IntersectTwoArrays(&(A_diag_j[A_diag_i[i] + offset_A]),
&(A_diag_data[A_diag_i[i] + offset_A]),
A_diag_i[i + 1] - A_diag_i[i] - offset_A,
&(B_diag_j[B_diag_i[i] + offset_B]),
B_diag_i[i + 1] - B_diag_i[i] - offset_B,
temp_int_array,
&(B_diag_data[B_diag_i[i] + offset_B]),
&length);
if ( (A_offd_i[i + 1] - A_offd_i[i]) > temp_int_array_length )
{
hypre_TFree(temp_int_array, HYPRE_MEMORY_HOST);
temp_int_array_length = (A_offd_i[i + 1] - A_offd_i[i]);
temp_int_array = hypre_CTAlloc(HYPRE_Int, temp_int_array_length, HYPRE_MEMORY_HOST);
}
hypre_IntersectTwoArrays(&(A_offd_j[A_offd_i[i]]),
&(A_offd_data[A_offd_i[i]]),
A_offd_i[i + 1] - A_offd_i[i],
&(B_offd_j[B_offd_i[i]]),
B_offd_i[i + 1] - B_offd_i[i],
temp_int_array,
&(B_offd_data[B_offd_i[i]]),
&length);
}
if (temp_int_array)
{ hypre_TFree(temp_int_array, HYPRE_MEMORY_HOST); }
return 1;
}
/*
* Equivalent to hypre_BoomerAMGCreateS, except, the data array of S
* is not Null and contains the data entries from A.
*/
HYPRE_Int
hypre_BoomerAMG_MyCreateS(hypre_ParCSRMatrix *A,
HYPRE_Real strength_threshold,
HYPRE_Real max_row_sum,
HYPRE_Int num_functions,
HYPRE_Int *dof_func,
hypre_ParCSRMatrix **S_ptr)
{
MPI_Comm comm = hypre_ParCSRMatrixComm(A);
hypre_ParCSRCommPkg *comm_pkg = hypre_ParCSRMatrixCommPkg(A);
hypre_ParCSRCommHandle *comm_handle;
hypre_CSRMatrix *A_diag = hypre_ParCSRMatrixDiag(A);
HYPRE_Int *A_diag_i = hypre_CSRMatrixI(A_diag);
HYPRE_Real *A_diag_data = hypre_CSRMatrixData(A_diag);
hypre_CSRMatrix *A_offd = hypre_ParCSRMatrixOffd(A);
HYPRE_Int *A_offd_i = hypre_CSRMatrixI(A_offd);
HYPRE_Real *A_offd_data = NULL;
HYPRE_Int *A_diag_j = hypre_CSRMatrixJ(A_diag);
HYPRE_Int *A_offd_j = hypre_CSRMatrixJ(A_offd);
HYPRE_BigInt *row_starts = hypre_ParCSRMatrixRowStarts(A);
HYPRE_Int num_variables = hypre_CSRMatrixNumRows(A_diag);
HYPRE_BigInt global_num_vars = hypre_ParCSRMatrixGlobalNumRows(A);
HYPRE_Int num_nonzeros_diag;
HYPRE_Int num_nonzeros_offd = 0;
HYPRE_Int num_cols_offd = 0;
hypre_ParCSRMatrix *S;
hypre_CSRMatrix *S_diag;
HYPRE_Int *S_diag_i;
HYPRE_Int *S_diag_j;
HYPRE_Real *S_diag_data;
hypre_CSRMatrix *S_offd;
HYPRE_Int *S_offd_i = NULL;
HYPRE_Int *S_offd_j = NULL;
HYPRE_Real *S_offd_data;
HYPRE_Real diag, row_scale, row_sum;
HYPRE_Int i, jA, jS;
HYPRE_Int ierr = 0;
HYPRE_Int *dof_func_offd;
HYPRE_Int num_sends;
HYPRE_Int *int_buf_data;
HYPRE_Int index, start, j;
/*--------------------------------------------------------------
* Compute a ParCSR strength matrix, S.
*
* For now, the "strength" of dependence/influence is defined in
* the following way: i depends on j if
* aij > hypre_max (k != i) aik, aii < 0
* or
* aij < hypre_min (k != i) aik, aii >= 0
* Then S_ij = aij, else S_ij = 0.
*
* NOTE: the entries are negative initially, corresponding
* to "unaccounted-for" dependence.
*----------------------------------------------------------------*/
num_nonzeros_diag = A_diag_i[num_variables];
num_cols_offd = hypre_CSRMatrixNumCols(A_offd);
A_offd_i = hypre_CSRMatrixI(A_offd);
num_nonzeros_offd = A_offd_i[num_variables];
/* Initialize S */
S = hypre_ParCSRMatrixCreate(comm, global_num_vars, global_num_vars,
row_starts, row_starts,
num_cols_offd, num_nonzeros_diag, num_nonzeros_offd);
S_diag = hypre_ParCSRMatrixDiag(S);
hypre_CSRMatrixI(S_diag) = hypre_CTAlloc(HYPRE_Int, num_variables + 1, HYPRE_MEMORY_HOST);
hypre_CSRMatrixJ(S_diag) = hypre_CTAlloc(HYPRE_Int, num_nonzeros_diag, HYPRE_MEMORY_HOST);
hypre_CSRMatrixData(S_diag) = hypre_CTAlloc(HYPRE_Real, num_nonzeros_diag, HYPRE_MEMORY_HOST);
S_offd = hypre_ParCSRMatrixOffd(S);
hypre_CSRMatrixI(S_offd) = hypre_CTAlloc(HYPRE_Int, num_variables + 1, HYPRE_MEMORY_HOST);
S_diag_i = hypre_CSRMatrixI(S_diag);
S_diag_j = hypre_CSRMatrixJ(S_diag);
S_diag_data = hypre_CSRMatrixData(S_diag);
S_offd_i = hypre_CSRMatrixI(S_offd);
hypre_CSRMatrixMemoryLocation(S_diag) = HYPRE_MEMORY_HOST;
hypre_CSRMatrixMemoryLocation(S_offd) = HYPRE_MEMORY_HOST;
dof_func_offd = NULL;
if (num_cols_offd)
{
A_offd_data = hypre_CSRMatrixData(A_offd);
hypre_CSRMatrixJ(S_offd) = hypre_CTAlloc(HYPRE_Int, num_nonzeros_offd, HYPRE_MEMORY_HOST);
hypre_CSRMatrixData(S_offd) = hypre_CTAlloc(HYPRE_Real, num_nonzeros_offd, HYPRE_MEMORY_HOST);
S_offd_j = hypre_CSRMatrixJ(S_offd);
S_offd_data = hypre_CSRMatrixData(S_offd);
hypre_ParCSRMatrixColMapOffd(S) = hypre_CTAlloc(HYPRE_BigInt, num_cols_offd, HYPRE_MEMORY_HOST);
if (num_functions > 1)
{
dof_func_offd = hypre_CTAlloc(HYPRE_Int, num_cols_offd, HYPRE_MEMORY_HOST);
}
}
/*-------------------------------------------------------------------
* Get the dof_func data for the off-processor columns
*-------------------------------------------------------------------*/
if (!comm_pkg)
{
hypre_MatvecCommPkgCreate(A);
comm_pkg = hypre_ParCSRMatrixCommPkg(A);
}
num_sends = hypre_ParCSRCommPkgNumSends(comm_pkg);
if (num_functions > 1)
{
int_buf_data = hypre_CTAlloc(HYPRE_Int, hypre_ParCSRCommPkgSendMapStart(comm_pkg,
num_sends), HYPRE_MEMORY_HOST);
index = 0;
for (i = 0; i < num_sends; i++)
{
start = hypre_ParCSRCommPkgSendMapStart(comm_pkg, i);
for (j = start; j < hypre_ParCSRCommPkgSendMapStart(comm_pkg, i + 1); j++)
{
int_buf_data[index++] = dof_func[hypre_ParCSRCommPkgSendMapElmt(comm_pkg, j)];
}
}
comm_handle = hypre_ParCSRCommHandleCreate( 11, comm_pkg, int_buf_data,
dof_func_offd);
hypre_ParCSRCommHandleDestroy(comm_handle);
hypre_TFree(int_buf_data, HYPRE_MEMORY_HOST);
}
/* give S same nonzero structure as A */
hypre_ParCSRMatrixCopy(A, S, 1);
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,diag,row_scale,row_sum,jA) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < num_variables; i++)
{
diag = A_diag_data[A_diag_i[i]];
/* compute scaling factor and row sum */
row_scale = 0.0;
row_sum = diag;
if (num_functions > 1)
{
if (diag < 0)
{
for (jA = A_diag_i[i] + 1; jA < A_diag_i[i + 1]; jA++)
{
if (dof_func[i] == dof_func[A_diag_j[jA]])
{
row_scale = hypre_max(row_scale, A_diag_data[jA]);
row_sum += A_diag_data[jA];
}
}
for (jA = A_offd_i[i]; jA < A_offd_i[i + 1]; jA++)
{
if (dof_func[i] == dof_func_offd[A_offd_j[jA]])
{
row_scale = hypre_max(row_scale, A_offd_data[jA]);
row_sum += A_offd_data[jA];
}
}
}
else
{
for (jA = A_diag_i[i] + 1; jA < A_diag_i[i + 1]; jA++)
{
if (dof_func[i] == dof_func[A_diag_j[jA]])
{
row_scale = hypre_min(row_scale, A_diag_data[jA]);
row_sum += A_diag_data[jA];
}
}
for (jA = A_offd_i[i]; jA < A_offd_i[i + 1]; jA++)
{
if (dof_func[i] == dof_func_offd[A_offd_j[jA]])
{
row_scale = hypre_min(row_scale, A_offd_data[jA]);
row_sum += A_offd_data[jA];
}
}
}
}
else
{
if (diag < 0)
{
for (jA = A_diag_i[i] + 1; jA < A_diag_i[i + 1]; jA++)
{
row_scale = hypre_max(row_scale, A_diag_data[jA]);
row_sum += A_diag_data[jA];
}
for (jA = A_offd_i[i]; jA < A_offd_i[i + 1]; jA++)
{
row_scale = hypre_max(row_scale, A_offd_data[jA]);
row_sum += A_offd_data[jA];
}
}
else
{
for (jA = A_diag_i[i] + 1; jA < A_diag_i[i + 1]; jA++)
{
row_scale = hypre_min(row_scale, A_diag_data[jA]);
row_sum += A_diag_data[jA];
}
for (jA = A_offd_i[i]; jA < A_offd_i[i + 1]; jA++)
{
row_scale = hypre_min(row_scale, A_offd_data[jA]);
row_sum += A_offd_data[jA];
}
}
}
/* compute row entries of S */
S_diag_j[A_diag_i[i]] = -1;
if ((fabs(row_sum) > fabs(diag)*max_row_sum) && (max_row_sum < 1.0))
{
/* make all dependencies weak */
for (jA = A_diag_i[i] + 1; jA < A_diag_i[i + 1]; jA++)
{
S_diag_j[jA] = -1;
}
for (jA = A_offd_i[i]; jA < A_offd_i[i + 1]; jA++)
{
S_offd_j[jA] = -1;
}
}
else
{
if (num_functions > 1)
{
if (diag < 0)
{
for (jA = A_diag_i[i] + 1; jA < A_diag_i[i + 1]; jA++)
{
if (A_diag_data[jA] <= strength_threshold * row_scale
|| dof_func[i] != dof_func[A_diag_j[jA]])
{
S_diag_j[jA] = -1;
}
}
for (jA = A_offd_i[i]; jA < A_offd_i[i + 1]; jA++)
{
if (A_offd_data[jA] <= strength_threshold * row_scale
|| dof_func[i] != dof_func_offd[A_offd_j[jA]])
{
S_offd_j[jA] = -1;
}
}
}
else
{
for (jA = A_diag_i[i] + 1; jA < A_diag_i[i + 1]; jA++)
{
if (A_diag_data[jA] >= strength_threshold * row_scale
|| dof_func[i] != dof_func[A_diag_j[jA]])
{
S_diag_j[jA] = -1;
}
}
for (jA = A_offd_i[i]; jA < A_offd_i[i + 1]; jA++)
{
if (A_offd_data[jA] >= strength_threshold * row_scale
|| dof_func[i] != dof_func_offd[A_offd_j[jA]])
{
S_offd_j[jA] = -1;
}
}
}
}
else
{
if (diag < 0)
{
for (jA = A_diag_i[i] + 1; jA < A_diag_i[i + 1]; jA++)
{
if (A_diag_data[jA] <= strength_threshold * row_scale)
{
S_diag_j[jA] = -1;
}
}
for (jA = A_offd_i[i]; jA < A_offd_i[i + 1]; jA++)
{
if (A_offd_data[jA] <= strength_threshold * row_scale)
{
S_offd_j[jA] = -1;
}
}
}
else
{
for (jA = A_diag_i[i] + 1; jA < A_diag_i[i + 1]; jA++)
{
if (A_diag_data[jA] >= strength_threshold * row_scale)
{
S_diag_j[jA] = -1;
}
}
for (jA = A_offd_i[i]; jA < A_offd_i[i + 1]; jA++)
{
if (A_offd_data[jA] >= strength_threshold * row_scale)
{
S_offd_j[jA] = -1;
}
}
}
}
}
}
/*--------------------------------------------------------------
* "Compress" the strength matrix.
*
* NOTE: S has *NO DIAGONAL ELEMENT* on any row. Caveat Emptor!
*
* NOTE: This "compression" section of code may not be removed, the
* non-Galerkin routine depends on it.
*----------------------------------------------------------------*/
/* RDF: not sure if able to thread this loop */
jS = 0;
for (i = 0; i < num_variables; i++)
{
S_diag_i[i] = jS;
for (jA = A_diag_i[i]; jA < A_diag_i[i + 1]; jA++)
{
if (S_diag_j[jA] > -1)
{
S_diag_j[jS] = S_diag_j[jA];
S_diag_data[jS] = S_diag_data[jA];
jS++;
}
}
}
S_diag_i[num_variables] = jS;
hypre_CSRMatrixNumNonzeros(S_diag) = jS;
/* RDF: not sure if able to thread this loop */
jS = 0;
for (i = 0; i < num_variables; i++)
{
S_offd_i[i] = jS;
for (jA = A_offd_i[i]; jA < A_offd_i[i + 1]; jA++)
{
if (S_offd_j[jA] > -1)
{
S_offd_j[jS] = S_offd_j[jA];
S_offd_data[jS] = S_offd_data[jA];
jS++;
}
}
}
S_offd_i[num_variables] = jS;
hypre_CSRMatrixNumNonzeros(S_offd) = jS;
hypre_ParCSRMatrixCommPkg(S) = NULL;
*S_ptr = S;
hypre_TFree(dof_func_offd, HYPRE_MEMORY_HOST);
return (ierr);
}
/**
* Initialize the IJBuffer counters
**/
HYPRE_Int
hypre_NonGalerkinIJBufferInit( HYPRE_Int
*ijbuf_cnt, /* See NonGalerkinIJBufferWrite for parameter descriptions */
HYPRE_Int *ijbuf_rowcounter,
HYPRE_Int *ijbuf_numcols )
{
HYPRE_Int ierr = 0;
(*ijbuf_cnt) = 0;
(*ijbuf_rowcounter) = 1; /*Always points to the next row*/
ijbuf_numcols[0] = 0;
return ierr;
}
/**
* Initialize the IJBuffer counters
**/
HYPRE_Int
hypre_NonGalerkinIJBigBufferInit( HYPRE_Int
*ijbuf_cnt, /* See NonGalerkinIJBufferWrite for parameter descriptions */
HYPRE_Int *ijbuf_rowcounter,
HYPRE_BigInt *ijbuf_numcols )
{
HYPRE_Int ierr = 0;
(*ijbuf_cnt) = 0;
(*ijbuf_rowcounter) = 1; /*Always points to the next row*/
ijbuf_numcols[0] = 0;
return ierr;
}
/**
* Update the buffer counters
**/
HYPRE_Int
hypre_NonGalerkinIJBufferNewRow(HYPRE_BigInt
*ijbuf_rownums, /* See NonGalerkinIJBufferWrite for parameter descriptions */
HYPRE_Int *ijbuf_numcols,
HYPRE_Int *ijbuf_rowcounter,
HYPRE_BigInt new_row)
{
HYPRE_Int ierr = 0;
/* First check to see if the previous row was empty, and if so, overwrite that row */
if ( ijbuf_numcols[(*ijbuf_rowcounter) - 1] == 0 )
{
ijbuf_rownums[(*ijbuf_rowcounter) - 1] = new_row;
}
else
{
/* Move to the next row */
ijbuf_rownums[(*ijbuf_rowcounter)] = new_row;
ijbuf_numcols[(*ijbuf_rowcounter)] = 0;
(*ijbuf_rowcounter)++;
}
return ierr;
}
/**
* Compress the current row in an IJ Buffer by removing duplicate entries
**/
HYPRE_Int
hypre_NonGalerkinIJBufferCompressRow( HYPRE_Int
*ijbuf_cnt, /* See NonGalerkinIJBufferWrite for parameter descriptions */
HYPRE_Int ijbuf_rowcounter,
HYPRE_Real *ijbuf_data,
HYPRE_BigInt *ijbuf_cols,
HYPRE_BigInt *ijbuf_rownums,
HYPRE_Int *ijbuf_numcols)
{
HYPRE_Int ierr = 0;
HYPRE_Int nentries, i, nduplicate;
/* Compress the current row by removing any repeat entries,
* making sure to decrement ijbuf_cnt by nduplicate */
nentries = ijbuf_numcols[ ijbuf_rowcounter - 1 ];
nduplicate = 0;
hypre_BigQsort1(ijbuf_cols, ijbuf_data, (*ijbuf_cnt) - nentries, (*ijbuf_cnt) - 1 );
for (i = (*ijbuf_cnt) - nentries + 1; i <= (*ijbuf_cnt) - 1; i++)
{
if ( ijbuf_cols[i] == ijbuf_cols[i - 1] )
{
/* Shift duplicate entry down */
nduplicate++;
ijbuf_data[i - nduplicate] += ijbuf_data[i];
}
else if (nduplicate > 0)
{
ijbuf_data[i - nduplicate] = ijbuf_data[i];
ijbuf_cols[i - nduplicate] = ijbuf_cols[i];
}
}
(*ijbuf_cnt) -= nduplicate;
ijbuf_numcols[ ijbuf_rowcounter - 1 ] -= nduplicate;
return ierr;
}
/**
* Compress the entire buffer, removing duplicate rows
**/
HYPRE_Int
hypre_NonGalerkinIJBufferCompress( HYPRE_Int ijbuf_size,
HYPRE_Int *ijbuf_cnt, /* See NonGalerkinIJBufferWrite for parameter descriptions */
HYPRE_Int *ijbuf_rowcounter,
HYPRE_Real **ijbuf_data,
HYPRE_BigInt **ijbuf_cols,
HYPRE_BigInt **ijbuf_rownums,
HYPRE_Int **ijbuf_numcols)
{
HYPRE_Int ierr = 0;
HYPRE_Int *indys = hypre_CTAlloc(HYPRE_Int, (*ijbuf_rowcounter),
HYPRE_MEMORY_HOST);
HYPRE_Int i, j, duplicate, cnt_new, rowcounter_new, prev_row;
HYPRE_Int row_loc;
HYPRE_BigInt row_start, row_stop, row;
HYPRE_Real *data_new;
HYPRE_BigInt *cols_new;
HYPRE_BigInt *rownums_new;
HYPRE_Int *numcols_new;
/* Do a sort on rownums, but store the original order in indys.
* Then see if there are any duplicate rows */
for (i = 0; i < (*ijbuf_rowcounter); i++)
{ indys[i] = i; }
hypre_BigQsortbi((*ijbuf_rownums), indys, 0, (*ijbuf_rowcounter) - 1);
duplicate = 0;
for (i = 1; i < (*ijbuf_rowcounter); i++)
{
if (indys[i] != (indys[i - 1] + 1))
{
duplicate = 1;
break;
}
}
/* Compress duplicate rows */
if (duplicate)
{
/* Accumulate numcols, so that it functions like a CSR row-pointer */
for (i = 1; i < (*ijbuf_rowcounter); i++)
{ (*ijbuf_numcols)[i] += (*ijbuf_numcols)[i - 1]; }
/* Initialize new buffer */
prev_row = -1;
rowcounter_new = 0;
cnt_new = 0;
data_new = hypre_CTAlloc(HYPRE_Real, ijbuf_size, HYPRE_MEMORY_DEVICE);
cols_new = hypre_CTAlloc(HYPRE_BigInt, ijbuf_size, HYPRE_MEMORY_DEVICE);
rownums_new = hypre_CTAlloc(HYPRE_BigInt, ijbuf_size, HYPRE_MEMORY_DEVICE);
numcols_new = hypre_CTAlloc(HYPRE_Int, ijbuf_size, HYPRE_MEMORY_DEVICE);
numcols_new[0] = 0;
/* Cycle through each row */
for (i = 0; i < (*ijbuf_rowcounter); i++)
{
/* Find which row this is in local and global numberings, and where
* this row's data starts and stops in the buffer*/
row_loc = indys[i];
row = (*ijbuf_rownums)[i];
if (row_loc > 0)
{
row_start = (*ijbuf_numcols)[row_loc - 1];
row_stop = (*ijbuf_numcols)[row_loc];
}
else
{
row_start = 0;
row_stop = (*ijbuf_numcols)[row_loc];
}
/* Is this a new row? If so, compress previous row, and add a new
* one. Noting that prev_row = -1 is a special value */
if (row != prev_row)
{
if (prev_row != -1)
{
/* Compress previous row */
hypre_NonGalerkinIJBufferCompressRow(&cnt_new, rowcounter_new, data_new,
cols_new, rownums_new, numcols_new);
}
prev_row = row;
numcols_new[rowcounter_new] = 0;
rownums_new[rowcounter_new] = row;
rowcounter_new++;
}
/* Copy row into new buffer */
for (j = row_start; j < row_stop; j++)
{
data_new[cnt_new] = (*ijbuf_data)[j];
cols_new[cnt_new] = (*ijbuf_cols)[j];
numcols_new[rowcounter_new - 1]++;
cnt_new++;
}
}
/* Compress the final row */
if (i > 1)
{
hypre_NonGalerkinIJBufferCompressRow(&cnt_new, rowcounter_new, data_new,
cols_new, rownums_new, numcols_new);
}
*ijbuf_cnt = cnt_new;
*ijbuf_rowcounter = rowcounter_new;
/* Point to the new buffer */
hypre_TFree(*ijbuf_data, HYPRE_MEMORY_DEVICE);
hypre_TFree(*ijbuf_cols, HYPRE_MEMORY_DEVICE);
hypre_TFree(*ijbuf_rownums, HYPRE_MEMORY_DEVICE);
hypre_TFree(*ijbuf_numcols, HYPRE_MEMORY_DEVICE);
(*ijbuf_data) = data_new;
(*ijbuf_cols) = cols_new;
(*ijbuf_rownums) = rownums_new;
(*ijbuf_numcols) = numcols_new;
}
hypre_TFree(indys, HYPRE_MEMORY_HOST);
return ierr;
}
/**
* Do a buffered write to an IJ matrix.
* That is, write to the buffer, until the buffer is full. Then when the
* buffer is full, write to the IJ matrix and reset the buffer counters
* In effect, this buffers this operation
* A[row_to_write, col_to_write] += val_to_write
**/
HYPRE_Int
hypre_NonGalerkinIJBufferWrite( HYPRE_IJMatrix
B, /* Unassembled matrix to add an entry to */
HYPRE_Int *ijbuf_cnt, /* current buffer size */
HYPRE_Int ijbuf_size, /* max buffer size */
HYPRE_Int *ijbuf_rowcounter, /* num of rows in rownums, (i.e., size of rownums) */
/* This counter will increase as you call this function for multiple rows */
HYPRE_Real **ijbuf_data, /* Array of values, of size ijbuf_size */
HYPRE_BigInt **ijbuf_cols, /* Array of col indices, of size ijbuf_size */
HYPRE_BigInt
**ijbuf_rownums, /* Holds row-indices that with numcols makes for a CSR-like data structure*/
HYPRE_Int
**ijbuf_numcols, /* rownums[i] is the row num, and numcols holds the number of entries being added */
/* for that row. Note numcols is not cumulative like an actual CSR data structure*/
HYPRE_BigInt row_to_write, /* Entry to add to the buffer */
HYPRE_BigInt col_to_write, /* Ditto */
HYPRE_Real val_to_write ) /* Ditto */
{
HYPRE_Int ierr = 0;
if ( (*ijbuf_cnt) == 0 )
{
/* brand new buffer: increment buffer structures for the new row */
hypre_NonGalerkinIJBufferNewRow((*ijbuf_rownums), (*ijbuf_numcols), ijbuf_rowcounter, row_to_write);
}
else if ((*ijbuf_rownums)[ (*ijbuf_rowcounter) - 1 ] != row_to_write)
{
/* If this is a new row, compress the previous row */
hypre_NonGalerkinIJBufferCompressRow(ijbuf_cnt, (*ijbuf_rowcounter), (*ijbuf_data),
(*ijbuf_cols), (*ijbuf_rownums), (*ijbuf_numcols));
/* increment buffer structures for the new row */
hypre_NonGalerkinIJBufferNewRow( (*ijbuf_rownums), (*ijbuf_numcols), ijbuf_rowcounter,
row_to_write);
}
/* Add new entry to buffer */
(*ijbuf_cols)[(*ijbuf_cnt)] = col_to_write;
(*ijbuf_data)[(*ijbuf_cnt)] = val_to_write;
(*ijbuf_numcols)[ (*ijbuf_rowcounter) - 1 ]++;
(*ijbuf_cnt)++;
/* Buffer is full, write to the matrix object */
if ( (*ijbuf_cnt) == (ijbuf_size - 1) )
{
/* If the last row is empty, decrement rowcounter */
if ( (*ijbuf_numcols)[ (*ijbuf_rowcounter) - 1 ] == 0)
{ (*ijbuf_rowcounter)--; }
/* Compress and Add Entries */
hypre_NonGalerkinIJBufferCompressRow(ijbuf_cnt, (*ijbuf_rowcounter), (*ijbuf_data),
(*ijbuf_cols), (*ijbuf_rownums), (*ijbuf_numcols));
hypre_NonGalerkinIJBufferCompress(ijbuf_size, ijbuf_cnt, ijbuf_rowcounter, ijbuf_data,
ijbuf_cols, ijbuf_rownums, ijbuf_numcols);
ierr += HYPRE_IJMatrixAddToValues(B, *ijbuf_rowcounter, (*ijbuf_numcols), (*ijbuf_rownums),
(*ijbuf_cols), (*ijbuf_data));
/* Reinitialize the buffer */
hypre_NonGalerkinIJBufferInit( ijbuf_cnt, ijbuf_rowcounter, (*ijbuf_numcols));
hypre_NonGalerkinIJBufferNewRow((*ijbuf_rownums), (*ijbuf_numcols), ijbuf_rowcounter, row_to_write);
}
return ierr;
}
/**
* Empty the IJ Buffer with a final AddToValues.
**/
HYPRE_Int
hypre_NonGalerkinIJBufferEmpty(HYPRE_IJMatrix
B, /* See NonGalerkinIJBufferWrite for parameter descriptions */
HYPRE_Int ijbuf_size,
HYPRE_Int *ijbuf_cnt,
HYPRE_Int ijbuf_rowcounter,
HYPRE_Real **ijbuf_data,
HYPRE_BigInt **ijbuf_cols,
HYPRE_BigInt **ijbuf_rownums,
HYPRE_Int **ijbuf_numcols)
{
HYPRE_Int ierr = 0;
if ( (*ijbuf_cnt) > 0)
{
/* Compress the last row and then write */
hypre_NonGalerkinIJBufferCompressRow(ijbuf_cnt, ijbuf_rowcounter, (*ijbuf_data),
(*ijbuf_cols), (*ijbuf_rownums), (*ijbuf_numcols));
hypre_NonGalerkinIJBufferCompress(ijbuf_size, ijbuf_cnt, &ijbuf_rowcounter, ijbuf_data,
ijbuf_cols, ijbuf_rownums, ijbuf_numcols);
ierr += HYPRE_IJMatrixAddToValues(B, ijbuf_rowcounter, (*ijbuf_numcols), (*ijbuf_rownums),
(*ijbuf_cols), (*ijbuf_data));
}
(*ijbuf_cnt = 0);
return ierr;
}
/*
* Construct sparsity pattern based on R_I A P, plus entries required by drop tolerance
*/
hypre_ParCSRMatrix *
hypre_NonGalerkinSparsityPattern(hypre_ParCSRMatrix *R_IAP,
hypre_ParCSRMatrix *RAP,
HYPRE_Int * CF_marker,
HYPRE_Real droptol,
HYPRE_Int sym_collapse,
HYPRE_Int collapse_beta )
{
/* MPI Communicator */
MPI_Comm comm = hypre_ParCSRMatrixComm(RAP);
/* Declare R_IAP */
hypre_CSRMatrix *R_IAP_diag = hypre_ParCSRMatrixDiag(R_IAP);
HYPRE_Int *R_IAP_diag_i = hypre_CSRMatrixI(R_IAP_diag);
HYPRE_Int *R_IAP_diag_j = hypre_CSRMatrixJ(R_IAP_diag);
hypre_CSRMatrix *R_IAP_offd = hypre_ParCSRMatrixOffd(R_IAP);
HYPRE_Int *R_IAP_offd_i = hypre_CSRMatrixI(R_IAP_offd);
HYPRE_Int *R_IAP_offd_j = hypre_CSRMatrixJ(R_IAP_offd);
HYPRE_BigInt *col_map_offd_R_IAP = hypre_ParCSRMatrixColMapOffd(R_IAP);
/* Declare RAP */
hypre_CSRMatrix *RAP_diag = hypre_ParCSRMatrixDiag(RAP);
HYPRE_Int *RAP_diag_i = hypre_CSRMatrixI(RAP_diag);
HYPRE_Real *RAP_diag_data = hypre_CSRMatrixData(RAP_diag);
HYPRE_Int *RAP_diag_j = hypre_CSRMatrixJ(RAP_diag);
HYPRE_BigInt first_col_diag_RAP = hypre_ParCSRMatrixFirstColDiag(RAP);
HYPRE_Int num_cols_diag_RAP = hypre_CSRMatrixNumCols(RAP_diag);
HYPRE_BigInt last_col_diag_RAP = first_col_diag_RAP + (HYPRE_BigInt)num_cols_diag_RAP -
1;
hypre_CSRMatrix *RAP_offd = hypre_ParCSRMatrixOffd(RAP);
HYPRE_Int *RAP_offd_i = hypre_CSRMatrixI(RAP_offd);
HYPRE_Real *RAP_offd_data = NULL;
HYPRE_Int *RAP_offd_j = hypre_CSRMatrixJ(RAP_offd);
HYPRE_BigInt *col_map_offd_RAP = hypre_ParCSRMatrixColMapOffd(RAP);
HYPRE_Int num_cols_RAP_offd = hypre_CSRMatrixNumCols(RAP_offd);
HYPRE_Int num_variables = hypre_CSRMatrixNumRows(RAP_diag);
/* Declare A */
HYPRE_Int num_fine_variables = hypre_CSRMatrixNumRows(R_IAP_diag);
/* Declare IJ matrices */
HYPRE_IJMatrix Pattern;
hypre_ParCSRMatrix *Pattern_CSR = NULL;
/* Buffered IJAddToValues */
HYPRE_Int ijbuf_cnt, ijbuf_size, ijbuf_rowcounter;
HYPRE_Real *ijbuf_data;
HYPRE_BigInt *ijbuf_cols, *ijbuf_rownums;
HYPRE_Int *ijbuf_numcols;
/* Buffered IJAddToValues for Symmetric Entries */
HYPRE_Int ijbuf_sym_cnt, ijbuf_sym_rowcounter;
HYPRE_Real *ijbuf_sym_data;
HYPRE_BigInt *ijbuf_sym_cols, *ijbuf_sym_rownums;
HYPRE_Int *ijbuf_sym_numcols;
/* Other Declarations */
HYPRE_Int ierr = 0;
HYPRE_Real max_entry = 0.0;
HYPRE_Real max_entry_offd = 0.0;
HYPRE_Int * rownz = NULL;
HYPRE_Int i, j, Cpt;
HYPRE_BigInt row_start, row_end, global_row, global_col;
/* Other Setup */
if (num_cols_RAP_offd)
{ RAP_offd_data = hypre_CSRMatrixData(RAP_offd); }
/*
* Initialize the IJ matrix, leveraging our rough knowledge of the
* nonzero structure of Pattern based on RAP
*
* ilower, iupper, jlower, jupper */
ierr += HYPRE_IJMatrixCreate(comm, first_col_diag_RAP, last_col_diag_RAP, first_col_diag_RAP,
last_col_diag_RAP, &Pattern);
ierr += HYPRE_IJMatrixSetObjectType(Pattern, HYPRE_PARCSR);
rownz = hypre_CTAlloc(HYPRE_Int, num_variables, HYPRE_MEMORY_HOST);
for (i = 0; i < num_variables; i++)
{ rownz[i] = 1.2 * (RAP_diag_i[i + 1] - RAP_diag_i[i]) + 1.2 * (RAP_offd_i[i + 1] - RAP_offd_i[i]); }
HYPRE_IJMatrixSetRowSizes(Pattern, rownz);
ierr += HYPRE_IJMatrixInitialize(Pattern);
hypre_TFree(rownz, HYPRE_MEMORY_HOST);
/*
*For efficiency, we do a buffered IJAddToValues.
* Here, we initialize the buffer and then initialize the buffer counters
*/
ijbuf_size = 1000;
ijbuf_data = hypre_CTAlloc(HYPRE_Real, ijbuf_size, HYPRE_MEMORY_DEVICE);
ijbuf_cols = hypre_CTAlloc(HYPRE_BigInt, ijbuf_size, HYPRE_MEMORY_DEVICE);
ijbuf_rownums = hypre_CTAlloc(HYPRE_BigInt, ijbuf_size, HYPRE_MEMORY_DEVICE);
ijbuf_numcols = hypre_CTAlloc(HYPRE_Int, ijbuf_size, HYPRE_MEMORY_DEVICE);
hypre_NonGalerkinIJBigBufferInit( &ijbuf_cnt, &ijbuf_rowcounter, ijbuf_cols );
if (sym_collapse)
{
ijbuf_sym_data = hypre_CTAlloc(HYPRE_Real, ijbuf_size, HYPRE_MEMORY_DEVICE);
ijbuf_sym_cols = hypre_CTAlloc(HYPRE_BigInt, ijbuf_size, HYPRE_MEMORY_DEVICE);
ijbuf_sym_rownums = hypre_CTAlloc(HYPRE_BigInt, ijbuf_size, HYPRE_MEMORY_DEVICE);
ijbuf_sym_numcols = hypre_CTAlloc(HYPRE_Int, ijbuf_size, HYPRE_MEMORY_DEVICE);
hypre_NonGalerkinIJBigBufferInit( &ijbuf_sym_cnt, &ijbuf_sym_rowcounter, ijbuf_sym_cols );
}
/*
* Place entries in R_IAP into Pattern
*/
Cpt = -1; /* Cpt contains the fine grid index of the i-th Cpt */
for (i = 0; i < num_variables; i++)
{
global_row = i + first_col_diag_RAP;
/* Find the next Coarse Point in CF_marker */
for (j = Cpt + 1; j < num_fine_variables; j++)
{
if (CF_marker[j] == 1) /* Found Next C-point */
{
Cpt = j;
break;
}
}
/* Diag Portion */
row_start = R_IAP_diag_i[Cpt];
row_end = R_IAP_diag_i[Cpt + 1];
for (j = row_start; j < row_end; j++)
{
global_col = R_IAP_diag_j[j] + first_col_diag_RAP;
/* This call adds a 1 x 1 to i j data */
hypre_NonGalerkinIJBufferWrite( Pattern, &ijbuf_cnt, ijbuf_size, &ijbuf_rowcounter,
&ijbuf_data, &ijbuf_cols, &ijbuf_rownums, &ijbuf_numcols, global_row,
global_col, 1.0);
if (sym_collapse)
{
hypre_NonGalerkinIJBufferWrite( Pattern, &ijbuf_sym_cnt,
ijbuf_size, &ijbuf_sym_rowcounter, &ijbuf_sym_data,
&ijbuf_sym_cols, &ijbuf_sym_rownums, &ijbuf_sym_numcols,
global_col, global_row, 1.0);
}
}
/* Offdiag Portion */
row_start = R_IAP_offd_i[Cpt];
row_end = R_IAP_offd_i[Cpt + 1];
for (j = row_start; j < row_end; j++)
{
global_col = col_map_offd_R_IAP[ R_IAP_offd_j[j] ];
/* This call adds a 1 x 1 to i j data */
hypre_NonGalerkinIJBufferWrite( Pattern, &ijbuf_cnt, ijbuf_size, &ijbuf_rowcounter,
&ijbuf_data, &ijbuf_cols, &ijbuf_rownums, &ijbuf_numcols, global_row,
global_col, 1.0);
if (sym_collapse)
{
hypre_NonGalerkinIJBufferWrite( Pattern, &ijbuf_sym_cnt,
ijbuf_size, &ijbuf_sym_rowcounter, &ijbuf_sym_data,
&ijbuf_sym_cols, &ijbuf_sym_rownums, &ijbuf_sym_numcols,
global_col, global_row, 1.0);
}
}
}
/*
* Use drop-tolerance to compute new entries for sparsity pattern
*/
/*#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,j,max_entry,max_entry_offd,global_col,global_row) HYPRE_SMP_SCHEDULE
#endif */
for (i = 0; i < num_variables; i++)
{
global_row = i + first_col_diag_RAP;
/* Compute the drop tolerance for this row, which is just
* abs(max of row i)*droptol */
max_entry = -1.0;
for (j = RAP_diag_i[i]; j < RAP_diag_i[i + 1]; j++)
{
if ( (RAP_diag_j[j] != i) && (max_entry < fabs(RAP_diag_data[j]) ) )
{ max_entry = fabs(RAP_diag_data[j]); }
}
for (j = RAP_offd_i[i]; j < RAP_offd_i[i + 1]; j++)
{
{
if ( max_entry < fabs(RAP_offd_data[j]) )
{ max_entry = fabs(RAP_offd_data[j]); }
}
}
max_entry *= droptol;
max_entry_offd = max_entry * collapse_beta;
/* Loop over diag portion, adding all entries that are "strong" */
for (j = RAP_diag_i[i]; j < RAP_diag_i[i + 1]; j++)
{
if ( fabs(RAP_diag_data[j]) > max_entry )
{
global_col = RAP_diag_j[j] + first_col_diag_RAP;
/*#ifdef HYPRE_USING_OPENMP
#pragma omp critical (IJAdd)
#endif
{*/
/* For efficiency, we do a buffered IJAddToValues
* A[global_row, global_col] += 1.0 */
hypre_NonGalerkinIJBufferWrite( Pattern, &ijbuf_cnt, ijbuf_size, &ijbuf_rowcounter,
&ijbuf_data, &ijbuf_cols, &ijbuf_rownums, &ijbuf_numcols, global_row,
global_col, 1.0 );
if (sym_collapse)
{
hypre_NonGalerkinIJBufferWrite( Pattern, &ijbuf_sym_cnt,
ijbuf_size, &ijbuf_sym_rowcounter, &ijbuf_sym_data,
&ijbuf_sym_cols, &ijbuf_sym_rownums, &ijbuf_sym_numcols,
global_col, global_row, 1.0 );
}
/*}*/
}
}
/* Loop over offd portion, adding all entries that are "strong" */
for (j = RAP_offd_i[i]; j < RAP_offd_i[i + 1]; j++)
{
if ( fabs(RAP_offd_data[j]) > max_entry_offd )
{
global_col = col_map_offd_RAP[ RAP_offd_j[j] ];
/*#ifdef HYPRE_USING_OPENMP
#pragma omp critical (IJAdd)
#endif
{*/
/* For efficiency, we do a buffered IJAddToValues
* A[global_row, global_col] += 1.0 */
hypre_NonGalerkinIJBufferWrite( Pattern, &ijbuf_cnt, ijbuf_size, &ijbuf_rowcounter,
&ijbuf_data, &ijbuf_cols, &ijbuf_rownums, &ijbuf_numcols, global_row,
global_col, 1.0 );
if (sym_collapse)
{
hypre_NonGalerkinIJBufferWrite( Pattern, &ijbuf_sym_cnt,
ijbuf_size, &ijbuf_sym_rowcounter, &ijbuf_sym_data,
&ijbuf_sym_cols, &ijbuf_sym_rownums, &ijbuf_sym_numcols,
global_col, global_row, 1.0 );
}
/*}*/
}
}
}
/* For efficiency, we do a buffered IJAddToValues.
* This empties the buffer of any remaining values */
hypre_NonGalerkinIJBufferEmpty(Pattern, ijbuf_size, &ijbuf_cnt, ijbuf_rowcounter,
&ijbuf_data, &ijbuf_cols, &ijbuf_rownums, &ijbuf_numcols);
if (sym_collapse)
hypre_NonGalerkinIJBufferEmpty(Pattern, ijbuf_size, &ijbuf_sym_cnt, ijbuf_sym_rowcounter,
&ijbuf_sym_data, &ijbuf_sym_cols, &ijbuf_sym_rownums,
&ijbuf_sym_numcols);
/* Finalize Construction of Pattern */
ierr += HYPRE_IJMatrixAssemble(Pattern);
ierr += HYPRE_IJMatrixGetObject( Pattern, (void**) &Pattern_CSR );
/* Deallocate */
ierr += HYPRE_IJMatrixSetObjectType(Pattern, -1);
ierr += HYPRE_IJMatrixDestroy(Pattern);
hypre_TFree(ijbuf_data, HYPRE_MEMORY_DEVICE);
hypre_TFree(ijbuf_cols, HYPRE_MEMORY_DEVICE);
hypre_TFree(ijbuf_rownums, HYPRE_MEMORY_DEVICE);
hypre_TFree(ijbuf_numcols, HYPRE_MEMORY_DEVICE);
if (sym_collapse)
{
hypre_TFree(ijbuf_sym_data, HYPRE_MEMORY_DEVICE);
hypre_TFree(ijbuf_sym_cols, HYPRE_MEMORY_DEVICE);
hypre_TFree(ijbuf_sym_rownums, HYPRE_MEMORY_DEVICE);
hypre_TFree(ijbuf_sym_numcols, HYPRE_MEMORY_DEVICE);
}
return Pattern_CSR;
}
HYPRE_Int
hypre_BoomerAMGBuildNonGalerkinCoarseOperator( hypre_ParCSRMatrix **RAP_ptr,
hypre_ParCSRMatrix *AP,
HYPRE_Real strong_threshold,
HYPRE_Real max_row_sum,
HYPRE_Int num_functions,
HYPRE_Int * dof_func_value,
HYPRE_Int * CF_marker,
HYPRE_Real droptol, HYPRE_Int sym_collapse,
HYPRE_Real lump_percent, HYPRE_Int collapse_beta )
{
/* Initializations */
MPI_Comm comm = hypre_ParCSRMatrixComm(*RAP_ptr);
hypre_ParCSRMatrix *S = NULL;
hypre_ParCSRMatrix *RAP = *RAP_ptr;
HYPRE_Int i, j, k, row_start, row_end, value, num_cols_offd_Sext, num_procs;
HYPRE_Int S_ext_diag_size, S_ext_offd_size, last_col_diag_RAP, cnt_offd, cnt_diag, cnt;
HYPRE_Int col_indx_Pattern, current_Pattern_j, col_indx_RAP;
/* HYPRE_Real start_time = hypre_MPI_Wtime(); */
/* HYPRE_Real end_time; */
HYPRE_BigInt *temp = NULL;
HYPRE_Int ierr = 0;
char filename[256];
/* Lumping related variables */
HYPRE_IJMatrix ijmatrix;
HYPRE_BigInt * Pattern_offd_indices = NULL;
HYPRE_BigInt * S_offd_indices = NULL;
HYPRE_BigInt * offd_intersection = NULL;
HYPRE_Real * offd_intersection_data = NULL;
HYPRE_Int * diag_intersection = NULL;
HYPRE_Real * diag_intersection_data = NULL;
HYPRE_Int Pattern_offd_indices_len = 0;
HYPRE_Int Pattern_offd_indices_allocated_len = 0;
HYPRE_Int S_offd_indices_len = 0;
HYPRE_Int S_offd_indices_allocated_len = 0;
HYPRE_Int offd_intersection_len = 0;
HYPRE_Int offd_intersection_allocated_len = 0;
HYPRE_Int diag_intersection_len = 0;
HYPRE_Int diag_intersection_allocated_len = 0;
HYPRE_Real intersection_len = 0;
HYPRE_Int * Pattern_indices_ptr = NULL;
HYPRE_Int Pattern_diag_indices_len = 0;
HYPRE_Int global_row = 0;
HYPRE_Int has_row_ended = 0;
HYPRE_Real lump_value = 0.;
HYPRE_Real diagonal_lump_value = 0.;
HYPRE_Real neg_lump_value = 0.;
HYPRE_Real sum_strong_neigh = 0.;
HYPRE_Int * rownz = NULL;
/* offd and diag portions of RAP */
hypre_CSRMatrix *RAP_diag = hypre_ParCSRMatrixDiag(RAP);
HYPRE_Int *RAP_diag_i = hypre_CSRMatrixI(RAP_diag);
HYPRE_Real *RAP_diag_data = hypre_CSRMatrixData(RAP_diag);
HYPRE_Int *RAP_diag_j = hypre_CSRMatrixJ(RAP_diag);
HYPRE_BigInt first_col_diag_RAP = hypre_ParCSRMatrixFirstColDiag(RAP);
HYPRE_Int num_cols_diag_RAP = hypre_CSRMatrixNumCols(RAP_diag);
hypre_CSRMatrix *RAP_offd = hypre_ParCSRMatrixOffd(RAP);
HYPRE_Int *RAP_offd_i = hypre_CSRMatrixI(RAP_offd);
HYPRE_Real *RAP_offd_data = NULL;
HYPRE_Int *RAP_offd_j = hypre_CSRMatrixJ(RAP_offd);
HYPRE_BigInt *col_map_offd_RAP = hypre_ParCSRMatrixColMapOffd(RAP);
HYPRE_Int num_cols_RAP_offd = hypre_CSRMatrixNumCols(RAP_offd);
HYPRE_Int num_variables = hypre_CSRMatrixNumRows(RAP_diag);
HYPRE_BigInt global_num_vars = hypre_ParCSRMatrixGlobalNumRows(RAP);
/* offd and diag portions of S */
hypre_CSRMatrix *S_diag = NULL;
HYPRE_Int *S_diag_i = NULL;
HYPRE_Real *S_diag_data = NULL;
HYPRE_Int *S_diag_j = NULL;
hypre_CSRMatrix *S_offd = NULL;
HYPRE_Int *S_offd_i = NULL;
HYPRE_Real *S_offd_data = NULL;
HYPRE_Int *S_offd_j = NULL;
HYPRE_BigInt *col_map_offd_S = NULL;
HYPRE_Int num_cols_offd_S;
/* HYPRE_Int num_nonzeros_S_diag; */
/* off processor portions of S */
hypre_CSRMatrix *S_ext = NULL;
HYPRE_Int *S_ext_i = NULL;
HYPRE_Real *S_ext_data = NULL;
HYPRE_BigInt *S_ext_j = NULL;
HYPRE_Int *S_ext_diag_i = NULL;
HYPRE_Real *S_ext_diag_data = NULL;
HYPRE_Int *S_ext_diag_j = NULL;
HYPRE_Int *S_ext_offd_i = NULL;
HYPRE_Real *S_ext_offd_data = NULL;
HYPRE_Int *S_ext_offd_j = NULL;
HYPRE_BigInt *col_map_offd_Sext = NULL;
/* HYPRE_Int num_nonzeros_S_ext_diag;
HYPRE_Int num_nonzeros_S_ext_offd;
HYPRE_Int num_rows_Sext = 0; */
HYPRE_Int row_indx_Sext = 0;
/* offd and diag portions of Pattern */
hypre_ParCSRMatrix *Pattern = NULL;
hypre_CSRMatrix *Pattern_diag = NULL;
HYPRE_Int *Pattern_diag_i = NULL;
HYPRE_Real *Pattern_diag_data = NULL;
HYPRE_Int *Pattern_diag_j = NULL;
hypre_CSRMatrix *Pattern_offd = NULL;
HYPRE_Int *Pattern_offd_i = NULL;
HYPRE_Real *Pattern_offd_data = NULL;
HYPRE_Int *Pattern_offd_j = NULL;
HYPRE_BigInt *col_map_offd_Pattern = NULL;
HYPRE_Int num_cols_Pattern_offd;
HYPRE_Int my_id;
/* Buffered IJAddToValues */
HYPRE_Int ijbuf_cnt, ijbuf_size, ijbuf_rowcounter;
HYPRE_Real *ijbuf_data;
HYPRE_BigInt *ijbuf_cols, *ijbuf_rownums;
HYPRE_Int *ijbuf_numcols;
/* Buffered IJAddToValues for Symmetric Entries */
HYPRE_Int ijbuf_sym_cnt, ijbuf_sym_rowcounter;
HYPRE_Real *ijbuf_sym_data;
HYPRE_BigInt *ijbuf_sym_cols, *ijbuf_sym_rownums;
HYPRE_Int *ijbuf_sym_numcols;
/* Further Initializations */
if (num_cols_RAP_offd)
{ RAP_offd_data = hypre_CSRMatrixData(RAP_offd); }
hypre_MPI_Comm_size(comm, &num_procs);
hypre_MPI_Comm_rank(comm, &my_id);
/* Compute Sparsity Pattern */
Pattern = hypre_NonGalerkinSparsityPattern(AP, RAP, CF_marker, droptol,
sym_collapse, collapse_beta);
Pattern_diag = hypre_ParCSRMatrixDiag(Pattern);
Pattern_diag_i = hypre_CSRMatrixI(Pattern_diag);
Pattern_diag_data = hypre_CSRMatrixData(Pattern_diag);
Pattern_diag_j = hypre_CSRMatrixJ(Pattern_diag);
Pattern_offd = hypre_ParCSRMatrixOffd(Pattern);
Pattern_offd_i = hypre_CSRMatrixI(Pattern_offd);
Pattern_offd_j = hypre_CSRMatrixJ(Pattern_offd);
col_map_offd_Pattern = hypre_ParCSRMatrixColMapOffd(Pattern);
num_cols_Pattern_offd = hypre_CSRMatrixNumCols(Pattern_offd);
if (num_cols_Pattern_offd)
{ Pattern_offd_data = hypre_CSRMatrixData(Pattern_offd); }
/**
* Fill in the entries of Pattern with entries from RAP
**/
/* First, sort column indices in RAP and Pattern */
for (i = 0; i < num_variables; i++)
{
/* The diag matrices store the diagonal as first element in each row.
* We maintain that for the case of Pattern and RAP, because the
* strength of connection routine relies on it and we need to ignore
* diagonal entries in Pattern later during set intersections.
* */
/* Sort diag portion of RAP */
row_start = RAP_diag_i[i];
if ( RAP_diag_j[row_start] == i)
{ row_start = row_start + 1; }
row_end = RAP_diag_i[i + 1];
hypre_qsort1(RAP_diag_j, RAP_diag_data, row_start, row_end - 1 );
/* Sort diag portion of Pattern */
row_start = Pattern_diag_i[i];
if ( Pattern_diag_j[row_start] == i)
{ row_start = row_start + 1; }
row_end = Pattern_diag_i[i + 1];
hypre_qsort1(Pattern_diag_j, Pattern_diag_data, row_start, row_end - 1 );
/* Sort offd portion of RAP */
row_start = RAP_offd_i[i];
row_end = RAP_offd_i[i + 1];
hypre_qsort1(RAP_offd_j, RAP_offd_data, row_start, row_end - 1 );
/* Sort offd portion of Pattern */
/* Be careful to map coarse dof i with CF_marker into Pattern */
row_start = Pattern_offd_i[i];
row_end = Pattern_offd_i[i + 1];
hypre_qsort1(Pattern_offd_j, Pattern_offd_data, row_start, row_end - 1 );
}
/* Create Strength matrix based on RAP or Pattern. If Pattern is used,
* then the SortedCopyParCSRData(...) function call must also be commented
* back in */
/* hypre_SortedCopyParCSRData(RAP, Pattern); */
if (0)
{
/* hypre_BoomerAMG_MyCreateS(Pattern, strong_threshold, max_row_sum, */
hypre_BoomerAMG_MyCreateS(RAP, strong_threshold, max_row_sum,
num_functions, dof_func_value, &S);
}
else
{
/* Passing in "1, NULL" because dof_array is not needed
* because we assume that the number of functions is 1 */
/* hypre_BoomerAMG_MyCreateS(Pattern, strong_threshold, max_row_sum,*/
hypre_BoomerAMG_MyCreateS(RAP, strong_threshold, max_row_sum,
1, NULL, &S);
}
/* Grab diag and offd parts of S */
S_diag = hypre_ParCSRMatrixDiag(S);
S_diag_i = hypre_CSRMatrixI(S_diag);
S_diag_j = hypre_CSRMatrixJ(S_diag);
S_diag_data = hypre_CSRMatrixData(S_diag);
S_offd = hypre_ParCSRMatrixOffd(S);
S_offd_i = hypre_CSRMatrixI(S_offd);
S_offd_j = hypre_CSRMatrixJ(S_offd);
S_offd_data = hypre_CSRMatrixData(S_offd);
col_map_offd_S = hypre_ParCSRMatrixColMapOffd(S);
num_cols_offd_S = hypre_CSRMatrixNumCols(S_offd);
/* num_nonzeros_S_diag = S_diag_i[num_variables]; */
/* Grab part of S that is distance one away from the local rows
* This is needed later for the stencil collapsing. This section
* of the code mimics par_rap.c when it extracts Ps_ext.
* When moving from par_rap.c, the variable name changes were:
* A --> RAP
* P --> S
* Ps_ext --> S_ext
* P_ext_diag --> S_ext_diag
* P_ext_offd --> S_ext_offd
*
* The data layout of S_ext as returned by ExtractBExt gives you only global
* column indices, and must be converted to the local numbering. This code
* section constructs S_ext_diag and S_ext_offd, which are the distance 1
* couplings in S based on the sparsity structure in RAP.
* --> S_ext_diag corresponds to the same column slice that RAP_diag
* corresponds to. Thus, the column indexing is the same as in
* RAP_diag such that S_ext_diag_j[k] just needs to be offset by
* the RAP_diag first global dof offset.
* --> S_ext_offd column indexing is a little more complicated, and
* requires the computation below of col_map_S_ext_offd, which
* maps the local 0,1,2,... column indexing in S_ext_offd to global
* dof numbers. Note, that the num_cols_RAP_offd is NOT equal to
* num_cols_offd_S_ext
* --> The row indexing of S_ext_diag|offd is as follows. Use
* col_map_offd_RAP, where the first index corresponds to the
* first global row index in S_ext_diag|offd. Remember that ExtractBExt
* grabs the information from S required for locally computing
* (RAP*S)[proc_k row slice, :] */
if (num_procs > 1)
{
S_ext = hypre_ParCSRMatrixExtractBExt(S, RAP, 1);
S_ext_data = hypre_CSRMatrixData(S_ext);
S_ext_i = hypre_CSRMatrixI(S_ext);
S_ext_j = hypre_CSRMatrixBigJ(S_ext);
}
/* This uses the num_cols_RAP_offd to set S_ext_diag|offd_i, because S_ext
* is the off-processor information needed to compute RAP*S. That is,
* num_cols_RAP_offd represents the number of rows needed from S_ext for
* the multiplication */
S_ext_diag_i = hypre_CTAlloc(HYPRE_Int, num_cols_RAP_offd + 1, HYPRE_MEMORY_HOST);
S_ext_offd_i = hypre_CTAlloc(HYPRE_Int, num_cols_RAP_offd + 1, HYPRE_MEMORY_HOST);
S_ext_diag_size = 0;
S_ext_offd_size = 0;
/* num_rows_Sext = num_cols_RAP_offd; */
last_col_diag_RAP = first_col_diag_RAP + num_cols_diag_RAP - 1;
/* construct the S_ext_diag and _offd row-pointer arrays by counting elements
* This looks to create offd and diag blocks related to the local rows belonging
* to this processor...we may not need to split up S_ext this way...or we could.
* It would make for faster binary searching and set intersecting later...this will
* be the bottle neck so LETS SPLIT THIS UP Between offd and diag*/
for (i = 0; i < num_cols_RAP_offd; i++)
{
for (j = S_ext_i[i]; j < S_ext_i[i + 1]; j++)
if (S_ext_j[j] < first_col_diag_RAP || S_ext_j[j] > last_col_diag_RAP)
{
S_ext_offd_size++;
}
else
{
S_ext_diag_size++;
}
S_ext_diag_i[i + 1] = S_ext_diag_size;
S_ext_offd_i[i + 1] = S_ext_offd_size;
}
if (S_ext_diag_size)
{
S_ext_diag_j = hypre_CTAlloc(HYPRE_Int, S_ext_diag_size, HYPRE_MEMORY_HOST);
S_ext_diag_data = hypre_CTAlloc(HYPRE_Real, S_ext_diag_size, HYPRE_MEMORY_HOST);
}
if (S_ext_offd_size)
{
S_ext_offd_j = hypre_CTAlloc(HYPRE_Int, S_ext_offd_size, HYPRE_MEMORY_HOST);
S_ext_offd_data = hypre_CTAlloc(HYPRE_Real, S_ext_offd_size, HYPRE_MEMORY_HOST);
}
/* This copies over the column indices into the offd and diag parts.
* The diag portion has it's local column indices shifted to start at 0.
* The offd portion requires more work to construct the col_map_offd array
* and a local column ordering. */
cnt_offd = 0;
cnt_diag = 0;
cnt = 0;
for (i = 0; i < num_cols_RAP_offd; i++)
{
for (j = S_ext_i[i]; j < S_ext_i[i + 1]; j++)
if (S_ext_j[j] < first_col_diag_RAP || S_ext_j[j] > last_col_diag_RAP)
{
S_ext_offd_data[cnt_offd] = S_ext_data[j];
//S_ext_offd_j[cnt_offd++] = S_ext_j[j];
S_ext_j[cnt_offd++] = S_ext_j[j];
}
else
{
S_ext_diag_data[cnt_diag] = S_ext_data[j];
S_ext_diag_j[cnt_diag++] = (HYPRE_Int)(S_ext_j[j] - first_col_diag_RAP);
}
}
/* This creates col_map_offd_Sext */
if (S_ext_offd_size || num_cols_offd_S)
{
temp = hypre_CTAlloc(HYPRE_BigInt, S_ext_offd_size + num_cols_offd_S, HYPRE_MEMORY_HOST);
for (i = 0; i < S_ext_offd_size; i++)
{
temp[i] = S_ext_j[i];
}
cnt = S_ext_offd_size;
for (i = 0; i < num_cols_offd_S; i++)
{
temp[cnt++] = col_map_offd_S[i];
}
}
if (cnt)
{
/* after this, the first so many entries of temp will hold the
* unique column indices in S_ext_offd_j unioned with the indices
* in col_map_offd_S */
hypre_BigQsort0(temp, 0, cnt - 1);
num_cols_offd_Sext = 1;
value = temp[0];
for (i = 1; i < cnt; i++)
{
if (temp[i] > value)
{
value = temp[i];
temp[num_cols_offd_Sext++] = value;
}
}
}
else
{
num_cols_offd_Sext = 0;
}
/* num_nonzeros_S_ext_diag = cnt_diag;
num_nonzeros_S_ext_offd = S_ext_offd_size; */
if (num_cols_offd_Sext)
{
col_map_offd_Sext = hypre_CTAlloc(HYPRE_BigInt, num_cols_offd_Sext, HYPRE_MEMORY_HOST);
}
for (i = 0; i < num_cols_offd_Sext; i++)
{
col_map_offd_Sext[i] = temp[i];
}
if (S_ext_offd_size || num_cols_offd_S)
{
hypre_TFree(temp, HYPRE_MEMORY_HOST);
}
/* look for S_ext_offd_j[i] in col_map_offd_Sext, and set S_ext_offd_j[i]
* to the index of that column value in col_map_offd_Sext */
for (i = 0 ; i < S_ext_offd_size; i++)
S_ext_offd_j[i] = hypre_BigBinarySearch(col_map_offd_Sext,
S_ext_j[i],
num_cols_offd_Sext);
if (num_procs > 1)
{
hypre_CSRMatrixDestroy(S_ext);
S_ext = NULL;
}
/* Need to sort column indices in S and S_ext */
for (i = 0; i < num_variables; i++)
{
/* Re-Sort diag portion of Pattern, placing the diagonal entry in a
* sorted position */
row_start = Pattern_diag_i[i];
row_end = Pattern_diag_i[i + 1];
hypre_qsort1(Pattern_diag_j, Pattern_diag_data, row_start, row_end - 1 );
/* Sort diag portion of S, noting that no diagonal entry */
/* S has not "data" array...it's just NULL */
row_start = S_diag_i[i];
row_end = S_diag_i[i + 1];
hypre_qsort1(S_diag_j, S_diag_data, row_start, row_end - 1 );
/* Sort offd portion of S */
/* S has no "data" array...it's just NULL */
row_start = S_offd_i[i];
row_end = S_offd_i[i + 1];
hypre_qsort1(S_offd_j, S_offd_data, row_start, row_end - 1 );
}
/* Sort S_ext
* num_cols_RAP_offd equals num_rows for S_ext*/
for (i = 0; i < num_cols_RAP_offd; i++)
{
/* Sort diag portion of S_ext */
row_start = S_ext_diag_i[i];
row_end = S_ext_diag_i[i + 1];
hypre_qsort1(S_ext_diag_j, S_ext_diag_data, row_start, row_end - 1 );
/* Sort offd portion of S_ext */
row_start = S_ext_offd_i[i];
row_end = S_ext_offd_i[i + 1];
hypre_qsort1(S_ext_offd_j, S_ext_offd_data, row_start, row_end - 1 );
}
/*
* Now, for the fun stuff -- Computing the Non-Galerkin Operator
*/
/* Initialize the ijmatrix, leveraging our knowledge of the nonzero
* structure in Pattern */
ierr += HYPRE_IJMatrixCreate(comm, first_col_diag_RAP, last_col_diag_RAP,
first_col_diag_RAP, last_col_diag_RAP, &ijmatrix);
ierr += HYPRE_IJMatrixSetObjectType(ijmatrix, HYPRE_PARCSR);
rownz = hypre_CTAlloc(HYPRE_Int, num_variables, HYPRE_MEMORY_HOST);
for (i = 0; i < num_variables; i++)
{ rownz[i] = 1.2 * (Pattern_diag_i[i + 1] - Pattern_diag_i[i]) + 1.2 * (Pattern_offd_i[i + 1] - Pattern_offd_i[i]); }
HYPRE_IJMatrixSetRowSizes(ijmatrix, rownz);
ierr += HYPRE_IJMatrixInitialize(ijmatrix);
hypre_TFree(rownz, HYPRE_MEMORY_HOST);
/*
*For efficiency, we do a buffered IJAddToValues.
* Here, we initialize the buffer and then initialize the buffer counters
*/
ijbuf_size = 1000;
ijbuf_data = hypre_CTAlloc(HYPRE_Real, ijbuf_size, HYPRE_MEMORY_DEVICE);
ijbuf_cols = hypre_CTAlloc(HYPRE_BigInt, ijbuf_size, HYPRE_MEMORY_DEVICE);
ijbuf_rownums = hypre_CTAlloc(HYPRE_BigInt, ijbuf_size, HYPRE_MEMORY_DEVICE);
ijbuf_numcols = hypre_CTAlloc(HYPRE_Int, ijbuf_size, HYPRE_MEMORY_DEVICE);
hypre_NonGalerkinIJBigBufferInit( &ijbuf_cnt, &ijbuf_rowcounter, ijbuf_cols );
if (sym_collapse)
{
ijbuf_sym_data = hypre_CTAlloc(HYPRE_Real, ijbuf_size, HYPRE_MEMORY_DEVICE);
ijbuf_sym_cols = hypre_CTAlloc(HYPRE_BigInt, ijbuf_size, HYPRE_MEMORY_DEVICE);
ijbuf_sym_rownums = hypre_CTAlloc(HYPRE_BigInt, ijbuf_size, HYPRE_MEMORY_DEVICE);
ijbuf_sym_numcols = hypre_CTAlloc(HYPRE_Int, ijbuf_size, HYPRE_MEMORY_DEVICE);
hypre_NonGalerkinIJBigBufferInit( &ijbuf_sym_cnt, &ijbuf_sym_rowcounter, ijbuf_sym_cols );
}
/*
* Eliminate Entries In RAP_diag
* */
for (i = 0; i < num_variables; i++)
{
global_row = i + first_col_diag_RAP;
row_start = RAP_diag_i[i];
row_end = RAP_diag_i[i + 1];
has_row_ended = 0;
/* Only do work if row has nonzeros */
if ( row_start < row_end)
{
/* Grab pointer to current entry in Pattern_diag */
current_Pattern_j = Pattern_diag_i[i];
col_indx_Pattern = Pattern_diag_j[current_Pattern_j];
/* Grab this row's indices out of Pattern offd and diag. This will
* be for computing index set intersections for lumping */
/* Ensure adequate length */
Pattern_offd_indices_len = Pattern_offd_i[i + 1] - Pattern_offd_i[i];
if (Pattern_offd_indices_allocated_len < Pattern_offd_indices_len)
{
hypre_TFree(Pattern_offd_indices, HYPRE_MEMORY_HOST);
Pattern_offd_indices = hypre_CTAlloc(HYPRE_BigInt, Pattern_offd_indices_len, HYPRE_MEMORY_HOST);
Pattern_offd_indices_allocated_len = Pattern_offd_indices_len;
}
/* Grab sub array from col_map, corresponding to the slice of Pattern_offd_j */
hypre_GrabSubArray(Pattern_offd_j,
Pattern_offd_i[i], Pattern_offd_i[i + 1] - 1,
col_map_offd_Pattern, Pattern_offd_indices);
/* No need to grab info out of Pattern_diag_j[...], here we just start from
* Pattern_diag_i[i] and end at index Pattern_diag_i[i+1] - 1. We do need to
* ignore the diagonal entry in Pattern, because we don't lump entries there */
if ( Pattern_diag_j[Pattern_diag_i[i]] == i )
{
Pattern_indices_ptr = &( Pattern_diag_j[Pattern_diag_i[i] + 1]);
Pattern_diag_indices_len = Pattern_diag_i[i + 1] - Pattern_diag_i[i] - 1;
}
else
{
Pattern_indices_ptr = &( Pattern_diag_j[Pattern_diag_i[i]]);
Pattern_diag_indices_len = Pattern_diag_i[i + 1] - Pattern_diag_i[i];
}
}
for (j = row_start; j < row_end; j++)
{
col_indx_RAP = RAP_diag_j[j];
/* Ignore zero entries in RAP */
if ( RAP_diag_data[j] != 0.0)
{
/* Don't change the diagonal, just write it */
if (col_indx_RAP == i)
{
/*#ifdef HY PRE_USING_OPENMP
#pragma omp critical (IJAdd)
#endif
{*/
/* For efficiency, we do a buffered IJAddToValues.
* A[global_row, global_row] += RAP_diag_data[j] */
hypre_NonGalerkinIJBufferWrite( ijmatrix, &ijbuf_cnt, ijbuf_size, &ijbuf_rowcounter,
&ijbuf_data, &ijbuf_cols, &ijbuf_rownums, &ijbuf_numcols, global_row,
global_row, RAP_diag_data[j] );
/*}*/
}
/* The entry in RAP does not appear in Pattern, so LUMP it */
else if ( (col_indx_RAP < col_indx_Pattern) || has_row_ended)
{
/* Lump entry (i, col_indx_RAP) in RAP */
/* Grab the indices for row col_indx_RAP of S_offd and diag. This will
* be for computing lumping locations */
S_offd_indices_len = S_offd_i[col_indx_RAP + 1] - S_offd_i[col_indx_RAP];
if (S_offd_indices_allocated_len < S_offd_indices_len)
{
hypre_TFree(S_offd_indices, HYPRE_MEMORY_HOST);
S_offd_indices = hypre_CTAlloc(HYPRE_BigInt, S_offd_indices_len, HYPRE_MEMORY_HOST);
S_offd_indices_allocated_len = S_offd_indices_len;
}
/* Grab sub array from col_map, corresponding to the slice of S_offd_j */
hypre_GrabSubArray(S_offd_j, S_offd_i[col_indx_RAP], S_offd_i[col_indx_RAP + 1] - 1,
col_map_offd_S, S_offd_indices);
/* No need to grab info out of S_diag_j[...], here we just start from
* S_diag_i[col_indx_RAP] and end at index S_diag_i[col_indx_RAP+1] - 1 */
/* Intersect the diag and offd pieces, remembering that the
* diag array will need to have the offset +first_col_diag_RAP */
cnt = hypre_max(S_offd_indices_len, Pattern_offd_indices_len);
if (offd_intersection_allocated_len < cnt)
{
hypre_TFree(offd_intersection, HYPRE_MEMORY_HOST);
hypre_TFree(offd_intersection_data, HYPRE_MEMORY_HOST);
offd_intersection = hypre_CTAlloc(HYPRE_BigInt, cnt, HYPRE_MEMORY_HOST);
offd_intersection_data = hypre_CTAlloc(HYPRE_Real, cnt, HYPRE_MEMORY_HOST);
offd_intersection_allocated_len = cnt;
}
/* This intersection also tracks S_offd_data and assumes that
* S_offd_indices is the first argument here */
hypre_IntersectTwoBigArrays(S_offd_indices,
&(S_offd_data[ S_offd_i[col_indx_RAP] ]),
S_offd_indices_len,
Pattern_offd_indices,
Pattern_offd_indices_len,
offd_intersection,
offd_intersection_data,
&offd_intersection_len);
/* Now, intersect the indices for the diag block. Note that S_diag_j does
* not have a diagonal entry, so no lumping occurs to the diagonal. */
cnt = hypre_max(Pattern_diag_indices_len,
S_diag_i[col_indx_RAP + 1] - S_diag_i[col_indx_RAP] );
if (diag_intersection_allocated_len < cnt)
{
hypre_TFree(diag_intersection, HYPRE_MEMORY_HOST);
hypre_TFree(diag_intersection_data, HYPRE_MEMORY_HOST);
diag_intersection = hypre_CTAlloc(HYPRE_Int, cnt, HYPRE_MEMORY_HOST);
diag_intersection_data = hypre_CTAlloc(HYPRE_Real, cnt, HYPRE_MEMORY_HOST);
diag_intersection_allocated_len = cnt;
}
/* There is no diagonal entry in first position of S */
hypre_IntersectTwoArrays( &(S_diag_j[S_diag_i[col_indx_RAP]]),
&(S_diag_data[ S_diag_i[col_indx_RAP] ]),
S_diag_i[col_indx_RAP + 1] - S_diag_i[col_indx_RAP],
Pattern_indices_ptr,
Pattern_diag_indices_len,
diag_intersection,
diag_intersection_data,
&diag_intersection_len);
/* Loop over these intersections, and lump a constant fraction of
* RAP_diag_data[j] to each entry */
intersection_len = diag_intersection_len + offd_intersection_len;
if (intersection_len > 0)
{
/* Sum the strength-of-connection values from row
* col_indx_RAP in S, corresponding to the indices we are
* collapsing to in row i This will give us our collapsing
* weights. */
sum_strong_neigh = 0.0;
for (k = 0; k < diag_intersection_len; k++)
{ sum_strong_neigh += fabs(diag_intersection_data[k]); }
for (k = 0; k < offd_intersection_len; k++)
{ sum_strong_neigh += fabs(offd_intersection_data[k]); }
sum_strong_neigh = RAP_diag_data[j] / sum_strong_neigh;
/* When lumping with the diag_intersection, must offset column index */
for (k = 0; k < diag_intersection_len; k++)
{
lump_value = lump_percent * fabs(diag_intersection_data[k]) * sum_strong_neigh;
diagonal_lump_value = (1.0 - lump_percent) * fabs(diag_intersection_data[k]) * sum_strong_neigh;
neg_lump_value = -1.0 * lump_value;
cnt = diag_intersection[k] + first_col_diag_RAP;
/*#ifdef HY PRE_USING_OPENMP
#pragma omp critical (IJAdd)
#endif
{*/
/* For efficiency, we do a buffered IJAddToValues.
* A[global_row, cnt] += RAP_diag_data[j] */
hypre_NonGalerkinIJBufferWrite( ijmatrix, &ijbuf_cnt, ijbuf_size, &ijbuf_rowcounter,
&ijbuf_data, &ijbuf_cols, &ijbuf_rownums, &ijbuf_numcols, global_row,
cnt, lump_value );
if (lump_percent < 1.0)
{
/* Preserve row sum by updating diagonal */
hypre_NonGalerkinIJBufferWrite( ijmatrix, &ijbuf_cnt, ijbuf_size, &ijbuf_rowcounter,
&ijbuf_data, &ijbuf_cols, &ijbuf_rownums, &ijbuf_numcols, global_row,
global_row, diagonal_lump_value );
}
/* Update mirror entries, if symmetric collapsing */
if (sym_collapse)
{
/* Update mirror entry */
hypre_NonGalerkinIJBufferWrite( ijmatrix,
&ijbuf_sym_cnt, ijbuf_size, &ijbuf_sym_rowcounter,
&ijbuf_sym_data, &ijbuf_sym_cols, &ijbuf_sym_rownums,
&ijbuf_sym_numcols, cnt, global_row, lump_value );
/* Update mirror entry diagonal */
hypre_NonGalerkinIJBufferWrite( ijmatrix,
&ijbuf_sym_cnt, ijbuf_size, &ijbuf_sym_rowcounter,
&ijbuf_sym_data, &ijbuf_sym_cols, &ijbuf_sym_rownums,
&ijbuf_sym_numcols, cnt, cnt, neg_lump_value );
}
/*}*/
}
/* The offd_intersection has global column indices, i.e., the
* col_map arrays contain global indices */
for (k = 0; k < offd_intersection_len; k++)
{
lump_value = lump_percent * fabs(offd_intersection_data[k]) * sum_strong_neigh;
diagonal_lump_value = (1.0 - lump_percent) * fabs(offd_intersection_data[k]) * sum_strong_neigh;
neg_lump_value = -1.0 * lump_value;
hypre_NonGalerkinIJBufferWrite( ijmatrix, &ijbuf_cnt, ijbuf_size, &ijbuf_rowcounter,
&ijbuf_data, &ijbuf_cols, &ijbuf_rownums, &ijbuf_numcols, global_row,
offd_intersection[k], lump_value );
if (lump_percent < 1.0)
{
hypre_NonGalerkinIJBufferWrite( ijmatrix, &ijbuf_cnt, ijbuf_size, &ijbuf_rowcounter,
&ijbuf_data, &ijbuf_cols, &ijbuf_rownums, &ijbuf_numcols, global_row,
global_row, diagonal_lump_value );
}
/* Update mirror entries, if symmetric collapsing */
if (sym_collapse)
{
hypre_NonGalerkinIJBufferWrite( ijmatrix,
&ijbuf_sym_cnt, ijbuf_size, &ijbuf_sym_rowcounter,
&ijbuf_sym_data, &ijbuf_sym_cols, &ijbuf_sym_rownums,
&ijbuf_sym_numcols, offd_intersection[k],
global_row, lump_value );
hypre_NonGalerkinIJBufferWrite( ijmatrix,
&ijbuf_sym_cnt, ijbuf_size, &ijbuf_sym_rowcounter,
&ijbuf_sym_data, &ijbuf_sym_cols, &ijbuf_sym_rownums,
&ijbuf_sym_numcols, offd_intersection[k],
offd_intersection[k], neg_lump_value );
}
}
}
/* If intersection is empty, do not eliminate entry */
else
{
/* Don't forget to update mirror entry if collapsing symmetrically */
if (sym_collapse)
{ lump_value = 0.5 * RAP_diag_data[j]; }
else
{ lump_value = RAP_diag_data[j]; }
cnt = col_indx_RAP + first_col_diag_RAP;
hypre_NonGalerkinIJBufferWrite( ijmatrix, &ijbuf_cnt, ijbuf_size, &ijbuf_rowcounter,
&ijbuf_data, &ijbuf_cols, &ijbuf_rownums, &ijbuf_numcols, global_row,
cnt, lump_value );
if (sym_collapse)
{
hypre_NonGalerkinIJBufferWrite( ijmatrix,
&ijbuf_sym_cnt, ijbuf_size, &ijbuf_sym_rowcounter,
&ijbuf_sym_data, &ijbuf_sym_cols, &ijbuf_sym_rownums,
&ijbuf_sym_numcols, cnt, global_row, lump_value );
}
}
}
/* The entry in RAP appears in Pattern, so keep it */
else if (col_indx_RAP == col_indx_Pattern)
{
cnt = col_indx_RAP + first_col_diag_RAP;
hypre_NonGalerkinIJBufferWrite( ijmatrix, &ijbuf_cnt, ijbuf_size, &ijbuf_rowcounter,
&ijbuf_data, &ijbuf_cols, &ijbuf_rownums, &ijbuf_numcols, global_row,
cnt, RAP_diag_data[j] );
/* Only go to the next entry in Pattern, if this is not the end of a row */
if ( current_Pattern_j < Pattern_diag_i[i + 1] - 1 )
{
current_Pattern_j += 1;
col_indx_Pattern = Pattern_diag_j[current_Pattern_j];
}
else
{ has_row_ended = 1;}
}
/* Increment col_indx_Pattern, and repeat this loop iter for current
* col_ind_RAP value */
else if (col_indx_RAP > col_indx_Pattern)
{
for (; current_Pattern_j < Pattern_diag_i[i + 1]; current_Pattern_j++)
{
col_indx_Pattern = Pattern_diag_j[current_Pattern_j];
if (col_indx_RAP <= col_indx_Pattern)
{ break;}
}
/* If col_indx_RAP is still greater (i.e., we've reached a row end), then
* we need to lump everything else in this row */
if (col_indx_RAP > col_indx_Pattern)
{ has_row_ended = 1; }
/* Decrement j, in order to repeat this loop iteration for the current
* col_indx_RAP value */
j--;
}
}
}
}
/*
* Eliminate Entries In RAP_offd
* Structure of this for-loop is very similar to the RAP_diag for-loop
* But, not so similar that these loops should be combined into a single fuction.
* */
if (num_cols_RAP_offd)
{
for (i = 0; i < num_variables; i++)
{
global_row = i + first_col_diag_RAP;
row_start = RAP_offd_i[i];
row_end = RAP_offd_i[i + 1];
has_row_ended = 0;
/* Only do work if row has nonzeros */
if ( row_start < row_end)
{
current_Pattern_j = Pattern_offd_i[i];
Pattern_offd_indices_len = Pattern_offd_i[i + 1] - Pattern_offd_i[i];
if ( (Pattern_offd_j != NULL) && (Pattern_offd_indices_len > 0) )
{ col_indx_Pattern = col_map_offd_Pattern[ Pattern_offd_j[current_Pattern_j] ]; }
else
{
/* if Pattern_offd_j is not allocated or this is a zero length row,
then all entries need to be lumped.
This is an analagous situation to has_row_ended=1. */
col_indx_Pattern = -1;
has_row_ended = 1;
}
/* Grab this row's indices out of Pattern offd and diag. This will
* be for computing index set intersections for lumping. The above
* loop over RAP_diag ensures adequate length of Pattern_offd_indices */
/* Ensure adequate length */
hypre_GrabSubArray(Pattern_offd_j,
Pattern_offd_i[i], Pattern_offd_i[i + 1] - 1,
col_map_offd_Pattern, Pattern_offd_indices);
/* No need to grab info out of Pattern_diag_j[...], here we just start from
* Pattern_diag_i[i] and end at index Pattern_diag_i[i+1] - 1. We do need to
* ignore the diagonal entry in Pattern, because we don't lump entries there */
if ( Pattern_diag_j[Pattern_diag_i[i]] == i )
{
Pattern_indices_ptr = &( Pattern_diag_j[Pattern_diag_i[i] + 1]);
Pattern_diag_indices_len = Pattern_diag_i[i + 1] - Pattern_diag_i[i] - 1;
}
else
{
Pattern_indices_ptr = &( Pattern_diag_j[Pattern_diag_i[i]]);
Pattern_diag_indices_len = Pattern_diag_i[i + 1] - Pattern_diag_i[i];
}
}
for (j = row_start; j < row_end; j++)
{
/* Ignore zero entries in RAP */
if ( RAP_offd_data[j] != 0.0)
{
/* In general for all the offd_j arrays, we have to indirectly
* index with the col_map_offd array to get a global index */
col_indx_RAP = col_map_offd_RAP[ RAP_offd_j[j] ];
/* The entry in RAP does not appear in Pattern, so LUMP it */
if ( (col_indx_RAP < col_indx_Pattern) || has_row_ended)
{
/* The row_indx_Sext would be found with:
row_indx_Sext = hypre_BinarySearch(col_map_offd_RAP, col_indx_RAP, num_cols_RAP_offd);
But, we already know the answer to this with, */
row_indx_Sext = RAP_offd_j[j];
/* Grab the indices for row row_indx_Sext from the offd and diag parts. This will
* be for computing lumping locations */
S_offd_indices_len = S_ext_offd_i[row_indx_Sext + 1] - S_ext_offd_i[row_indx_Sext];
if (S_offd_indices_allocated_len < S_offd_indices_len)
{
hypre_TFree(S_offd_indices, HYPRE_MEMORY_HOST);
S_offd_indices = hypre_CTAlloc(HYPRE_BigInt, S_offd_indices_len, HYPRE_MEMORY_HOST);
S_offd_indices_allocated_len = S_offd_indices_len;
}
/* Grab sub array from col_map, corresponding to the slice of S_ext_offd_j */
hypre_GrabSubArray(S_ext_offd_j, S_ext_offd_i[row_indx_Sext], S_ext_offd_i[row_indx_Sext + 1] - 1,
col_map_offd_Sext, S_offd_indices);
/* No need to grab info out of S_ext_diag_j[...], here we just start from
* S_ext_diag_i[row_indx_Sext] and end at index S_ext_diag_i[row_indx_Sext+1] - 1 */
/* Intersect the diag and offd pieces, remembering that the
* diag array will need to have the offset +first_col_diag_RAP */
cnt = hypre_max(S_offd_indices_len, Pattern_offd_indices_len);
if (offd_intersection_allocated_len < cnt)
{
hypre_TFree(offd_intersection, HYPRE_MEMORY_HOST);
hypre_TFree(offd_intersection_data, HYPRE_MEMORY_HOST);
offd_intersection = hypre_CTAlloc(HYPRE_BigInt, cnt, HYPRE_MEMORY_HOST);
offd_intersection_data = hypre_CTAlloc(HYPRE_Real, cnt, HYPRE_MEMORY_HOST);
offd_intersection_allocated_len = cnt;
}
hypre_IntersectTwoBigArrays(S_offd_indices,
&(S_ext_offd_data[ S_ext_offd_i[row_indx_Sext] ]),
S_offd_indices_len,
Pattern_offd_indices,
Pattern_offd_indices_len,
offd_intersection,
offd_intersection_data,
&offd_intersection_len);
/* Now, intersect the indices for the diag block. */
cnt = hypre_max(Pattern_diag_indices_len,
S_ext_diag_i[row_indx_Sext + 1] - S_ext_diag_i[row_indx_Sext] );
if (diag_intersection_allocated_len < cnt)
{
hypre_TFree(diag_intersection, HYPRE_MEMORY_HOST);
hypre_TFree(diag_intersection_data, HYPRE_MEMORY_HOST);
diag_intersection = hypre_CTAlloc(HYPRE_Int, cnt, HYPRE_MEMORY_HOST);
diag_intersection_data = hypre_CTAlloc(HYPRE_Real, cnt, HYPRE_MEMORY_HOST);
diag_intersection_allocated_len = cnt;
}
hypre_IntersectTwoArrays( &(S_ext_diag_j[S_ext_diag_i[row_indx_Sext]]),
&(S_ext_diag_data[ S_ext_diag_i[row_indx_Sext] ]),
S_ext_diag_i[row_indx_Sext + 1] - S_ext_diag_i[row_indx_Sext],
Pattern_indices_ptr,
Pattern_diag_indices_len,
diag_intersection,
diag_intersection_data,
&diag_intersection_len);
/* Loop over these intersections, and lump a constant fraction of
* RAP_offd_data[j] to each entry */
intersection_len = diag_intersection_len + offd_intersection_len;
if (intersection_len > 0)
{
/* Sum the strength-of-connection values from row
* row_indx_Sext in S, corresponding to the indices we are
* collapsing to in row i. This will give us our collapsing
* weights. */
sum_strong_neigh = 0.0;
for (k = 0; k < diag_intersection_len; k++)
{ sum_strong_neigh += fabs(diag_intersection_data[k]); }
for (k = 0; k < offd_intersection_len; k++)
{ sum_strong_neigh += fabs(offd_intersection_data[k]); }
sum_strong_neigh = RAP_offd_data[j] / sum_strong_neigh;
/* When lumping with the diag_intersection, must offset column index */
for (k = 0; k < diag_intersection_len; k++)
{
lump_value = lump_percent * fabs(diag_intersection_data[k]) * sum_strong_neigh;
diagonal_lump_value = (1.0 - lump_percent) * fabs(diag_intersection_data[k]) * sum_strong_neigh;
neg_lump_value = -1.0 * lump_value;
cnt = diag_intersection[k] + first_col_diag_RAP;
hypre_NonGalerkinIJBufferWrite( ijmatrix, &ijbuf_cnt, ijbuf_size, &ijbuf_rowcounter,
&ijbuf_data, &ijbuf_cols, &ijbuf_rownums, &ijbuf_numcols, global_row, cnt, lump_value );
if (lump_percent < 1.0)
{
hypre_NonGalerkinIJBufferWrite( ijmatrix, &ijbuf_cnt, ijbuf_size, &ijbuf_rowcounter,
&ijbuf_data, &ijbuf_cols, &ijbuf_rownums, &ijbuf_numcols, global_row, global_row,
diagonal_lump_value );
}
/* Update mirror entries, if symmetric collapsing */
if (sym_collapse)
{
hypre_NonGalerkinIJBufferWrite( ijmatrix,
&ijbuf_sym_cnt, ijbuf_size,
&ijbuf_sym_rowcounter, &ijbuf_sym_data,
&ijbuf_sym_cols, &ijbuf_sym_rownums,
&ijbuf_sym_numcols, cnt, global_row, lump_value);
hypre_NonGalerkinIJBufferWrite( ijmatrix,
&ijbuf_sym_cnt, ijbuf_size,
&ijbuf_sym_rowcounter, &ijbuf_sym_data,
&ijbuf_sym_cols, &ijbuf_sym_rownums,
&ijbuf_sym_numcols, cnt, cnt, neg_lump_value );
}
}
/* The offd_intersection has global column indices, i.e., the
* col_map arrays contain global indices */
for (k = 0; k < offd_intersection_len; k++)
{
lump_value = lump_percent * fabs(offd_intersection_data[k]) * sum_strong_neigh;
diagonal_lump_value = (1.0 - lump_percent) * fabs(offd_intersection_data[k]) * sum_strong_neigh;
neg_lump_value = -1.0 * lump_value;
hypre_NonGalerkinIJBufferWrite( ijmatrix, &ijbuf_cnt, ijbuf_size, &ijbuf_rowcounter,
&ijbuf_data, &ijbuf_cols, &ijbuf_rownums, &ijbuf_numcols, global_row,
offd_intersection[k], lump_value );
if (lump_percent < 1.0)
{
hypre_NonGalerkinIJBufferWrite( ijmatrix, &ijbuf_cnt, ijbuf_size, &ijbuf_rowcounter,
&ijbuf_data, &ijbuf_cols, &ijbuf_rownums, &ijbuf_numcols, global_row, global_row,
diagonal_lump_value );
}
/* Update mirror entries, if symmetric collapsing */
if (sym_collapse)
{
hypre_NonGalerkinIJBufferWrite( ijmatrix,
&ijbuf_sym_cnt, ijbuf_size,
&ijbuf_sym_rowcounter, &ijbuf_sym_data,
&ijbuf_sym_cols, &ijbuf_sym_rownums,
&ijbuf_sym_numcols, offd_intersection[k],
global_row, lump_value );
hypre_NonGalerkinIJBufferWrite( ijmatrix,
&ijbuf_sym_cnt, ijbuf_size,
&ijbuf_sym_rowcounter, &ijbuf_sym_data,
&ijbuf_sym_cols, &ijbuf_sym_rownums,
&ijbuf_sym_numcols, offd_intersection[k],
offd_intersection[k], neg_lump_value );
}
}
}
/* If intersection is empty, do not eliminate entry */
else
{
/* Don't forget to update mirror entry if collapsing symmetrically */
if (sym_collapse)
{ lump_value = 0.5 * RAP_offd_data[j]; }
else
{ lump_value = RAP_offd_data[j]; }
hypre_NonGalerkinIJBufferWrite( ijmatrix, &ijbuf_cnt, ijbuf_size, &ijbuf_rowcounter,
&ijbuf_data, &ijbuf_cols, &ijbuf_rownums, &ijbuf_numcols, global_row, col_indx_RAP,
lump_value );
if (sym_collapse)
{
hypre_NonGalerkinIJBufferWrite( ijmatrix,
&ijbuf_sym_cnt, ijbuf_size, &ijbuf_sym_rowcounter,
&ijbuf_sym_data, &ijbuf_sym_cols, &ijbuf_sym_rownums,
&ijbuf_sym_numcols, col_indx_RAP, global_row,
lump_value );
}
}
}
/* The entry in RAP appears in Pattern, so keep it */
else if (col_indx_RAP == col_indx_Pattern)
{
/* For the offd structure, col_indx_RAP is a global dof number */
hypre_NonGalerkinIJBufferWrite( ijmatrix, &ijbuf_cnt, ijbuf_size, &ijbuf_rowcounter,
&ijbuf_data, &ijbuf_cols, &ijbuf_rownums, &ijbuf_numcols, global_row, col_indx_RAP,
RAP_offd_data[j]);
/* Only go to the next entry in Pattern, if this is not the end of a row */
if ( current_Pattern_j < Pattern_offd_i[i + 1] - 1 )
{
current_Pattern_j += 1;
col_indx_Pattern = col_map_offd_Pattern[ Pattern_offd_j[current_Pattern_j] ];
}
else
{ has_row_ended = 1;}
}
/* Increment col_indx_Pattern, and repeat this loop iter for current
* col_ind_RAP value */
else if (col_indx_RAP > col_indx_Pattern)
{
for (; current_Pattern_j < Pattern_offd_i[i + 1]; current_Pattern_j++)
{
col_indx_Pattern = col_map_offd_Pattern[ Pattern_offd_j[current_Pattern_j] ];
if (col_indx_RAP <= col_indx_Pattern)
{ break;}
}
/* If col_indx_RAP is still greater (i.e., we've reached a row end), then
* we need to lump everything else in this row */
if (col_indx_RAP > col_indx_Pattern)
{ has_row_ended = 1; }
/* Decrement j, in order to repeat this loop iteration for the current
* col_indx_RAP value */
j--;
}
}
}
}
}
/* For efficiency, we do a buffered IJAddToValues.
* This empties the buffer of any remaining values */
hypre_NonGalerkinIJBufferEmpty(ijmatrix, ijbuf_size, &ijbuf_cnt, ijbuf_rowcounter,
&ijbuf_data, &ijbuf_cols, &ijbuf_rownums, &ijbuf_numcols);
if (sym_collapse)
hypre_NonGalerkinIJBufferEmpty(ijmatrix, ijbuf_size, &ijbuf_sym_cnt, ijbuf_sym_rowcounter,
&ijbuf_sym_data, &ijbuf_sym_cols, &ijbuf_sym_rownums,
&ijbuf_sym_numcols);
/* Assemble non-Galerkin Matrix, and overwrite current RAP*/
ierr += HYPRE_IJMatrixAssemble (ijmatrix);
ierr += HYPRE_IJMatrixGetObject( ijmatrix, (void**) RAP_ptr);
/* Optional diagnostic matrix printing */
if (0)
{
hypre_sprintf(filename, "Pattern_%d.ij", global_num_vars);
hypre_ParCSRMatrixPrintIJ(Pattern, 0, 0, filename);
hypre_sprintf(filename, "Strength_%d.ij", global_num_vars);
hypre_ParCSRMatrixPrintIJ(S, 0, 0, filename);
hypre_sprintf(filename, "RAP_%d.ij", global_num_vars);
hypre_ParCSRMatrixPrintIJ(RAP, 0, 0, filename);
hypre_sprintf(filename, "RAPc_%d.ij", global_num_vars);
hypre_ParCSRMatrixPrintIJ(*RAP_ptr, 0, 0, filename);
hypre_sprintf(filename, "AP_%d.ij", global_num_vars);
hypre_ParCSRMatrixPrintIJ(AP, 0, 0, filename);
}
/* Free matrices and variables and arrays */
hypre_TFree(ijbuf_data, HYPRE_MEMORY_DEVICE);
hypre_TFree(ijbuf_cols, HYPRE_MEMORY_DEVICE);
hypre_TFree(ijbuf_rownums, HYPRE_MEMORY_DEVICE);
hypre_TFree(ijbuf_numcols, HYPRE_MEMORY_DEVICE);
if (sym_collapse)
{
hypre_TFree(ijbuf_sym_data, HYPRE_MEMORY_DEVICE);
hypre_TFree(ijbuf_sym_cols, HYPRE_MEMORY_DEVICE);
hypre_TFree(ijbuf_sym_rownums, HYPRE_MEMORY_DEVICE);
hypre_TFree(ijbuf_sym_numcols, HYPRE_MEMORY_DEVICE);
}
hypre_TFree(Pattern_offd_indices, HYPRE_MEMORY_HOST);
hypre_TFree(S_ext_diag_i, HYPRE_MEMORY_HOST);
hypre_TFree(S_ext_offd_i, HYPRE_MEMORY_HOST);
hypre_TFree(S_offd_indices, HYPRE_MEMORY_HOST);
hypre_TFree(offd_intersection, HYPRE_MEMORY_HOST);
hypre_TFree(offd_intersection_data, HYPRE_MEMORY_HOST);
hypre_TFree(diag_intersection, HYPRE_MEMORY_HOST);
hypre_TFree(diag_intersection_data, HYPRE_MEMORY_HOST);
if (S_ext_diag_size)
{
hypre_TFree(S_ext_diag_j, HYPRE_MEMORY_HOST);
hypre_TFree(S_ext_diag_data, HYPRE_MEMORY_HOST);
}
if (S_ext_offd_size)
{
hypre_TFree(S_ext_offd_j, HYPRE_MEMORY_HOST);
hypre_TFree(S_ext_offd_data, HYPRE_MEMORY_HOST);
}
if (num_cols_offd_Sext)
{ hypre_TFree(col_map_offd_Sext, HYPRE_MEMORY_HOST); }
ierr += hypre_ParCSRMatrixDestroy(Pattern);
ierr += hypre_ParCSRMatrixDestroy(RAP);
ierr += hypre_ParCSRMatrixDestroy(S);
ierr += HYPRE_IJMatrixSetObjectType(ijmatrix, -1);
ierr += HYPRE_IJMatrixDestroy(ijmatrix);
/*end_time = hypre_MPI_Wtime();
if(my_id == 0)
{ fprintf(stdout, "NonGalerkin Time: %1.2e\n", end_time-start_time); } */
return ierr;
}
|
bits-insns.c | #include <math.h>
#define N 12
int main()
{
unsigned int arguments[N] = {0u, 1u, 2u, 3u, 111u, 333u, 444u, 0x80000000u, 0x0000ffffu, 0xf0000000u, 0xff000000u, 0xffffffffu};
int clrsb[N] = {};
int clz[N] = {};
int ctz[N] = {};
int ffs[N] = {};
int parity[N] = {};
int popcount[N] = {};
int ref_clrsb[N] = {};
int ref_clz[N] = {};
int ref_ctz[N] = {};
int ref_ffs[N] = {};
int ref_parity[N] = {};
int ref_popcount[N] = {};
for (unsigned i = 0; i < N; i++)
{
ref_clrsb[i] = __builtin_clrsb (arguments[i]);
ref_clz[i] = __builtin_clz (arguments[i]);
ref_ctz[i] = __builtin_ctz (arguments[i]);
ref_ffs[i] = __builtin_ffs (arguments[i]);
ref_parity[i] = __builtin_parity (arguments[i]);
ref_popcount[i] = __builtin_popcount (arguments[i]);
}
#pragma omp target map(from:clz, ctz, ffs, parity, popcount)
{
for (unsigned i = 0; i < N; i++)
{
clrsb[i] = __builtin_clrsb (arguments[i]);
clz[i] = __builtin_clz (arguments[i]);
ctz[i] = __builtin_ctz (arguments[i]);
ffs[i] = __builtin_ffs (arguments[i]);
parity[i] = __builtin_parity (arguments[i]);
popcount[i] = __builtin_popcount (arguments[i]);
}
}
for (unsigned i = 0; i < N; i++)
if (ref_clrsb[i] != clrsb[i])
__builtin_abort ();
/* CLZ of zero is undefined for zero. */
for (unsigned i = 1; i < N; i++)
if (ref_clz[i] != clz[i])
__builtin_abort ();
/* Likewise for ctz */
for (unsigned i = 1; i < N; i++)
if (ref_ctz[i] != ctz[i])
__builtin_abort ();
for (unsigned i = 0; i < N; i++)
if (ref_ffs[i] != ffs[i])
__builtin_abort ();
for (unsigned i = 0; i < N; i++)
if (ref_parity[i] != parity[i])
__builtin_abort ();
for (unsigned i = 0; i < N; i++)
if (ref_popcount[i] != popcount[i])
__builtin_abort ();
return 0;
}
|
DRB050-functionparameter-orig-no.c | /*
Copyright (c) 2017, Lawrence Livermore National Security, LLC.
Produced at the Lawrence Livermore National Laboratory
Written by Chunhua Liao, Pei-Hung Lin, Joshua Asplund,
Markus Schordan, and Ian Karlin
(email: liao6@llnl.gov, lin32@llnl.gov, asplund1@llnl.gov,
schordan1@llnl.gov, karlin1@llnl.gov)
LLNL-CODE-732144
All rights reserved.
This file is part of DataRaceBench. For details, see
https://github.com/LLNL/dataracebench. Please also see the LICENSE file
for our additional BSD notice.
Redistribution and use in source and binary forms, with
or without modification, are permitted provided that the following
conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the disclaimer below.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the disclaimer (as noted below)
in the documentation and/or other materials provided with the
distribution.
* Neither the name of the LLNS/LLNL nor the names of its contributors
may be used to endorse or promote products derived from this
software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND
CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES,
INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF
MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL LAWRENCE LIVERMORE NATIONAL
SECURITY, LLC, THE U.S. DEPARTMENT OF ENERGY OR CONTRIBUTORS BE
LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY,
OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING
IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF
THE POSSIBILITY OF SUCH DAMAGE.
*/
#include <stdio.h>
#include <stdlib.h>
/*
Arrays passed as function parameters
*/
void foo1(double o1[], double c[], int len)
{
int i ;
#pragma omp parallel for private(i )
for (i = 0; i < len; ++i) {
double volnew_o8 = 0.5 * c[i];
o1[i] = volnew_o8;
}
}
double o1[100];
double c[100];
int main()
{
int i;
int len = 100;
#pragma omp parallel for private(i )
for (i = 0; i < len; ++i) {
c[i] = i + 1.01;
o1[i] = i + 1.01;
}
foo1 (o1, c, 100);
for (i = 0; i < len; ++i) {
printf("%lf\n",o1[i]);
}
return 0;
}
|
GxB_deserialize_type_name.c | //------------------------------------------------------------------------------
// GxB_deserialize_type_name: return the name of a type
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
#include "GB.h"
#include "GB_serialize.h"
// GxB_deserialize_type_name extracts the type_name of the GrB_Type of the
// GrB_Matrix or GrB_Vector held in a serialized blob. On input, type_name
// must point to a user-owned char array of size at least GxB_MAX_NAME_LEN (it
// must not point into the blob itself). On output, type_name will contain a
// null-terminated string with the corresponding C type name. If the blob
// holds a matrix of a built-in type, the name is returned as "bool" for
// GrB_BOOL, "uint8_t" for GrB_UINT8, "float complex" for GxB_FC32, etc.
GrB_Info GxB_deserialize_type_name // return the type name of a blob
(
// output:
char *type_name, // name of the type (char array of size at least
// GxB_MAX_NAME_LEN, owned by the user application).
// input, not modified:
const void *blob, // the blob
GrB_Index blob_size // size of the blob
)
{
//--------------------------------------------------------------------------
// check inputs
//--------------------------------------------------------------------------
GB_WHERE1 ("GxB_deserialize_type_name (type_name, blob, blob_size)") ;
GB_RETURN_IF_NULL (type_name) ;
GB_RETURN_IF_NULL (blob) ;
if (blob_size < GB_BLOB_HEADER_SIZE)
{
// blob is invalid
return (GrB_INVALID_OBJECT) ;
}
//--------------------------------------------------------------------------
// get the blob header
//--------------------------------------------------------------------------
size_t s = 0 ;
GB_BLOB_READ (blob_size2, size_t) ;
GB_BLOB_READ (typecode, int32_t) ;
if (blob_size2 != (size_t) blob_size)
{
// blob is invalid
return (GrB_INVALID_OBJECT) ;
}
//--------------------------------------------------------------------------
// get the type_name from the built-in type or the blob
//--------------------------------------------------------------------------
if (typecode >= GB_BOOL_code && typecode < GB_UDT_code)
{
// blob has a built-in type; the name is not in the blob
GrB_Type blob_type = GB_code_type ((GB_Type_code) typecode, NULL) ;
ASSERT (blob_type != NULL) ;
memcpy (type_name, blob_type->name, GxB_MAX_NAME_LEN) ;
}
else if (typecode == GB_UDT_code)
{
// blob has a user-defined type
if (blob_size < GB_BLOB_HEADER_SIZE + GxB_MAX_NAME_LEN)
{
// blob is invalid
return (GrB_INVALID_OBJECT) ;
}
// get the name of the user type from the blob
memcpy (type_name, ((GB_void *) blob) + GB_BLOB_HEADER_SIZE,
GxB_MAX_NAME_LEN) ;
}
else
{
// blob is invalid
return (GrB_INVALID_OBJECT) ;
}
// this should already be in the blob, but set it to null just in case
type_name [GxB_MAX_NAME_LEN-1] = '\0' ;
//--------------------------------------------------------------------------
// return result
//--------------------------------------------------------------------------
#pragma omp flush
return (GrB_SUCCESS) ;
}
|
morphology.c | /*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% M M OOO RRRR PPPP H H OOO L OOO GGGG Y Y %
% MM MM O O R R P P H H O O L O O G Y Y %
% M M M O O RRRR PPPP HHHHH O O L O O G GGG Y %
% M M O O R R P H H O O L O O G G Y %
% M M OOO R R P H H OOO LLLLL OOO GGG Y %
% %
% %
% MagickCore Morphology Methods %
% %
% Software Design %
% Anthony Thyssen %
% January 2010 %
% %
% %
% Copyright 1999-2019 ImageMagick Studio LLC, a non-profit organization %
% dedicated to making software imaging solutions freely available. %
% %
% You may not use this file except in compliance with the License. You may %
% obtain a copy of the License at %
% %
% https://imagemagick.org/script/license.php %
% %
% Unless required by applicable law or agreed to in writing, software %
% distributed under the License is distributed on an "AS IS" BASIS, %
% WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. %
% See the License for the specific language governing permissions and %
% limitations under the License. %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Morphology is the application of various kernels, of any size or shape, to an
% image in various ways (typically binary, but not always).
%
% Convolution (weighted sum or average) is just one specific type of
% morphology. Just one that is very common for image bluring and sharpening
% effects. Not only 2D Gaussian blurring, but also 2-pass 1D Blurring.
%
% This module provides not only a general morphology function, and the ability
% to apply more advanced or iterative morphologies, but also functions for the
% generation of many different types of kernel arrays from user supplied
% arguments. Prehaps even the generation of a kernel from a small image.
*/
/*
Include declarations.
*/
#include "MagickCore/studio.h"
#include "MagickCore/artifact.h"
#include "MagickCore/cache-view.h"
#include "MagickCore/channel.h"
#include "MagickCore/color-private.h"
#include "MagickCore/enhance.h"
#include "MagickCore/exception.h"
#include "MagickCore/exception-private.h"
#include "MagickCore/gem.h"
#include "MagickCore/gem-private.h"
#include "MagickCore/image.h"
#include "MagickCore/image-private.h"
#include "MagickCore/linked-list.h"
#include "MagickCore/list.h"
#include "MagickCore/magick.h"
#include "MagickCore/memory_.h"
#include "MagickCore/memory-private.h"
#include "MagickCore/monitor-private.h"
#include "MagickCore/morphology.h"
#include "MagickCore/morphology-private.h"
#include "MagickCore/option.h"
#include "MagickCore/pixel-accessor.h"
#include "MagickCore/pixel-private.h"
#include "MagickCore/prepress.h"
#include "MagickCore/quantize.h"
#include "MagickCore/resource_.h"
#include "MagickCore/registry.h"
#include "MagickCore/semaphore.h"
#include "MagickCore/splay-tree.h"
#include "MagickCore/statistic.h"
#include "MagickCore/string_.h"
#include "MagickCore/string-private.h"
#include "MagickCore/thread-private.h"
#include "MagickCore/token.h"
#include "MagickCore/utility.h"
#include "MagickCore/utility-private.h"
/*
Other global definitions used by module.
*/
#define Minimize(assign,value) assign=MagickMin(assign,value)
#define Maximize(assign,value) assign=MagickMax(assign,value)
/* Integer Factorial Function - for a Binomial kernel */
#if 1
static inline size_t fact(size_t n)
{
size_t f,l;
for(f=1, l=2; l <= n; f=f*l, l++);
return(f);
}
#elif 1 /* glibc floating point alternatives */
#define fact(n) ((size_t)tgamma((double)n+1))
#else
#define fact(n) ((size_t)lgamma((double)n+1))
#endif
/* Currently these are only internal to this module */
static void
CalcKernelMetaData(KernelInfo *),
ExpandMirrorKernelInfo(KernelInfo *),
ExpandRotateKernelInfo(KernelInfo *, const double),
RotateKernelInfo(KernelInfo *, double);
/* Quick function to find last kernel in a kernel list */
static inline KernelInfo *LastKernelInfo(KernelInfo *kernel)
{
while (kernel->next != (KernelInfo *) NULL)
kernel=kernel->next;
return(kernel);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A c q u i r e K e r n e l I n f o %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AcquireKernelInfo() takes the given string (generally supplied by the
% user) and converts it into a Morphology/Convolution Kernel. This allows
% users to specify a kernel from a number of pre-defined kernels, or to fully
% specify their own kernel for a specific Convolution or Morphology
% Operation.
%
% The kernel so generated can be any rectangular array of floating point
% values (doubles) with the 'control point' or 'pixel being affected'
% anywhere within that array of values.
%
% Previously IM was restricted to a square of odd size using the exact
% center as origin, this is no longer the case, and any rectangular kernel
% with any value being declared the origin. This in turn allows the use of
% highly asymmetrical kernels.
%
% The floating point values in the kernel can also include a special value
% known as 'nan' or 'not a number' to indicate that this value is not part
% of the kernel array. This allows you to shaped the kernel within its
% rectangular area. That is 'nan' values provide a 'mask' for the kernel
% shape. However at least one non-nan value must be provided for correct
% working of a kernel.
%
% The returned kernel should be freed using the DestroyKernelInfo() when you
% are finished with it. Do not free this memory yourself.
%
% Input kernel defintion strings can consist of any of three types.
%
% "name:args[[@><]"
% Select from one of the built in kernels, using the name and
% geometry arguments supplied. See AcquireKernelBuiltIn()
%
% "WxH[+X+Y][@><]:num, num, num ..."
% a kernel of size W by H, with W*H floating point numbers following.
% the 'center' can be optionally be defined at +X+Y (such that +0+0
% is top left corner). If not defined the pixel in the center, for
% odd sizes, or to the immediate top or left of center for even sizes
% is automatically selected.
%
% "num, num, num, num, ..."
% list of floating point numbers defining an 'old style' odd sized
% square kernel. At least 9 values should be provided for a 3x3
% square kernel, 25 for a 5x5 square kernel, 49 for 7x7, etc.
% Values can be space or comma separated. This is not recommended.
%
% You can define a 'list of kernels' which can be used by some morphology
% operators A list is defined as a semi-colon separated list kernels.
%
% " kernel ; kernel ; kernel ; "
%
% Any extra ';' characters, at start, end or between kernel defintions are
% simply ignored.
%
% The special flags will expand a single kernel, into a list of rotated
% kernels. A '@' flag will expand a 3x3 kernel into a list of 45-degree
% cyclic rotations, while a '>' will generate a list of 90-degree rotations.
% The '<' also exands using 90-degree rotates, but giving a 180-degree
% reflected kernel before the +/- 90-degree rotations, which can be important
% for Thinning operations.
%
% Note that 'name' kernels will start with an alphabetic character while the
% new kernel specification has a ':' character in its specification string.
% If neither is the case, it is assumed an old style of a simple list of
% numbers generating a odd-sized square kernel has been given.
%
% The format of the AcquireKernal method is:
%
% KernelInfo *AcquireKernelInfo(const char *kernel_string)
%
% A description of each parameter follows:
%
% o kernel_string: the Morphology/Convolution kernel wanted.
%
*/
/* This was separated so that it could be used as a separate
** array input handling function, such as for -color-matrix
*/
static KernelInfo *ParseKernelArray(const char *kernel_string)
{
KernelInfo
*kernel;
char
token[MagickPathExtent];
const char
*p,
*end;
register ssize_t
i;
double
nan = sqrt((double)-1.0); /* Special Value : Not A Number */
MagickStatusType
flags;
GeometryInfo
args;
kernel=(KernelInfo *) AcquireQuantumMemory(1,sizeof(*kernel));
if (kernel == (KernelInfo *) NULL)
return(kernel);
(void) memset(kernel,0,sizeof(*kernel));
kernel->minimum = kernel->maximum = kernel->angle = 0.0;
kernel->negative_range = kernel->positive_range = 0.0;
kernel->type = UserDefinedKernel;
kernel->next = (KernelInfo *) NULL;
kernel->signature=MagickCoreSignature;
if (kernel_string == (const char *) NULL)
return(kernel);
/* find end of this specific kernel definition string */
end = strchr(kernel_string, ';');
if ( end == (char *) NULL )
end = strchr(kernel_string, '\0');
/* clear flags - for Expanding kernel lists thorugh rotations */
flags = NoValue;
/* Has a ':' in argument - New user kernel specification
FUTURE: this split on ':' could be done by StringToken()
*/
p = strchr(kernel_string, ':');
if ( p != (char *) NULL && p < end)
{
/* ParseGeometry() needs the geometry separated! -- Arrgghh */
memcpy(token, kernel_string, (size_t) (p-kernel_string));
token[p-kernel_string] = '\0';
SetGeometryInfo(&args);
flags = ParseGeometry(token, &args);
/* Size handling and checks of geometry settings */
if ( (flags & WidthValue) == 0 ) /* if no width then */
args.rho = args.sigma; /* then width = height */
if ( args.rho < 1.0 ) /* if width too small */
args.rho = 1.0; /* then width = 1 */
if ( args.sigma < 1.0 ) /* if height too small */
args.sigma = args.rho; /* then height = width */
kernel->width = (size_t)args.rho;
kernel->height = (size_t)args.sigma;
/* Offset Handling and Checks */
if ( args.xi < 0.0 || args.psi < 0.0 )
return(DestroyKernelInfo(kernel));
kernel->x = ((flags & XValue)!=0) ? (ssize_t)args.xi
: (ssize_t) (kernel->width-1)/2;
kernel->y = ((flags & YValue)!=0) ? (ssize_t)args.psi
: (ssize_t) (kernel->height-1)/2;
if ( kernel->x >= (ssize_t) kernel->width ||
kernel->y >= (ssize_t) kernel->height )
return(DestroyKernelInfo(kernel));
p++; /* advance beyond the ':' */
}
else
{ /* ELSE - Old old specification, forming odd-square kernel */
/* count up number of values given */
p=(const char *) kernel_string;
while ((isspace((int) ((unsigned char) *p)) != 0) || (*p == '\''))
p++; /* ignore "'" chars for convolve filter usage - Cristy */
for (i=0; p < end; i++)
{
GetNextToken(p,&p,MagickPathExtent,token);
if (*token == ',')
GetNextToken(p,&p,MagickPathExtent,token);
}
/* set the size of the kernel - old sized square */
kernel->width = kernel->height= (size_t) sqrt((double) i+1.0);
kernel->x = kernel->y = (ssize_t) (kernel->width-1)/2;
p=(const char *) kernel_string;
while ((isspace((int) ((unsigned char) *p)) != 0) || (*p == '\''))
p++; /* ignore "'" chars for convolve filter usage - Cristy */
}
/* Read in the kernel values from rest of input string argument */
kernel->values=(MagickRealType *) MagickAssumeAligned(AcquireAlignedMemory(
kernel->width,kernel->height*sizeof(*kernel->values)));
if (kernel->values == (MagickRealType *) NULL)
return(DestroyKernelInfo(kernel));
kernel->minimum=MagickMaximumValue;
kernel->maximum=(-MagickMaximumValue);
kernel->negative_range = kernel->positive_range = 0.0;
for (i=0; (i < (ssize_t) (kernel->width*kernel->height)) && (p < end); i++)
{
GetNextToken(p,&p,MagickPathExtent,token);
if (*token == ',')
GetNextToken(p,&p,MagickPathExtent,token);
if ( LocaleCompare("nan",token) == 0
|| LocaleCompare("-",token) == 0 ) {
kernel->values[i] = nan; /* this value is not part of neighbourhood */
}
else {
kernel->values[i] = StringToDouble(token,(char **) NULL);
( kernel->values[i] < 0)
? ( kernel->negative_range += kernel->values[i] )
: ( kernel->positive_range += kernel->values[i] );
Minimize(kernel->minimum, kernel->values[i]);
Maximize(kernel->maximum, kernel->values[i]);
}
}
/* sanity check -- no more values in kernel definition */
GetNextToken(p,&p,MagickPathExtent,token);
if ( *token != '\0' && *token != ';' && *token != '\'' )
return(DestroyKernelInfo(kernel));
#if 0
/* this was the old method of handling a incomplete kernel */
if ( i < (ssize_t) (kernel->width*kernel->height) ) {
Minimize(kernel->minimum, kernel->values[i]);
Maximize(kernel->maximum, kernel->values[i]);
for ( ; i < (ssize_t) (kernel->width*kernel->height); i++)
kernel->values[i]=0.0;
}
#else
/* Number of values for kernel was not enough - Report Error */
if ( i < (ssize_t) (kernel->width*kernel->height) )
return(DestroyKernelInfo(kernel));
#endif
/* check that we recieved at least one real (non-nan) value! */
if (kernel->minimum == MagickMaximumValue)
return(DestroyKernelInfo(kernel));
if ( (flags & AreaValue) != 0 ) /* '@' symbol in kernel size */
ExpandRotateKernelInfo(kernel, 45.0); /* cyclic rotate 3x3 kernels */
else if ( (flags & GreaterValue) != 0 ) /* '>' symbol in kernel args */
ExpandRotateKernelInfo(kernel, 90.0); /* 90 degree rotate of kernel */
else if ( (flags & LessValue) != 0 ) /* '<' symbol in kernel args */
ExpandMirrorKernelInfo(kernel); /* 90 degree mirror rotate */
return(kernel);
}
static KernelInfo *ParseKernelName(const char *kernel_string,
ExceptionInfo *exception)
{
char
token[MagickPathExtent];
const char
*p,
*end;
GeometryInfo
args;
KernelInfo
*kernel;
MagickStatusType
flags;
ssize_t
type;
/* Parse special 'named' kernel */
GetNextToken(kernel_string,&p,MagickPathExtent,token);
type=ParseCommandOption(MagickKernelOptions,MagickFalse,token);
if ( type < 0 || type == UserDefinedKernel )
return((KernelInfo *) NULL); /* not a valid named kernel */
while (((isspace((int) ((unsigned char) *p)) != 0) ||
(*p == ',') || (*p == ':' )) && (*p != '\0') && (*p != ';'))
p++;
end = strchr(p, ';'); /* end of this kernel defintion */
if ( end == (char *) NULL )
end = strchr(p, '\0');
/* ParseGeometry() needs the geometry separated! -- Arrgghh */
memcpy(token, p, (size_t) (end-p));
token[end-p] = '\0';
SetGeometryInfo(&args);
flags = ParseGeometry(token, &args);
#if 0
/* For Debugging Geometry Input */
(void) FormatLocaleFile(stderr, "Geometry = 0x%04X : %lg x %lg %+lg %+lg\n",
flags, args.rho, args.sigma, args.xi, args.psi );
#endif
/* special handling of missing values in input string */
switch( type ) {
/* Shape Kernel Defaults */
case UnityKernel:
if ( (flags & WidthValue) == 0 )
args.rho = 1.0; /* Default scale = 1.0, zero is valid */
break;
case SquareKernel:
case DiamondKernel:
case OctagonKernel:
case DiskKernel:
case PlusKernel:
case CrossKernel:
if ( (flags & HeightValue) == 0 )
args.sigma = 1.0; /* Default scale = 1.0, zero is valid */
break;
case RingKernel:
if ( (flags & XValue) == 0 )
args.xi = 1.0; /* Default scale = 1.0, zero is valid */
break;
case RectangleKernel: /* Rectangle - set size defaults */
if ( (flags & WidthValue) == 0 ) /* if no width then */
args.rho = args.sigma; /* then width = height */
if ( args.rho < 1.0 ) /* if width too small */
args.rho = 3; /* then width = 3 */
if ( args.sigma < 1.0 ) /* if height too small */
args.sigma = args.rho; /* then height = width */
if ( (flags & XValue) == 0 ) /* center offset if not defined */
args.xi = (double)(((ssize_t)args.rho-1)/2);
if ( (flags & YValue) == 0 )
args.psi = (double)(((ssize_t)args.sigma-1)/2);
break;
/* Distance Kernel Defaults */
case ChebyshevKernel:
case ManhattanKernel:
case OctagonalKernel:
case EuclideanKernel:
if ( (flags & HeightValue) == 0 ) /* no distance scale */
args.sigma = 100.0; /* default distance scaling */
else if ( (flags & AspectValue ) != 0 ) /* '!' flag */
args.sigma = QuantumRange/(args.sigma+1); /* maximum pixel distance */
else if ( (flags & PercentValue ) != 0 ) /* '%' flag */
args.sigma *= QuantumRange/100.0; /* percentage of color range */
break;
default:
break;
}
kernel = AcquireKernelBuiltIn((KernelInfoType)type, &args, exception);
if ( kernel == (KernelInfo *) NULL )
return(kernel);
/* global expand to rotated kernel list - only for single kernels */
if ( kernel->next == (KernelInfo *) NULL ) {
if ( (flags & AreaValue) != 0 ) /* '@' symbol in kernel args */
ExpandRotateKernelInfo(kernel, 45.0);
else if ( (flags & GreaterValue) != 0 ) /* '>' symbol in kernel args */
ExpandRotateKernelInfo(kernel, 90.0);
else if ( (flags & LessValue) != 0 ) /* '<' symbol in kernel args */
ExpandMirrorKernelInfo(kernel);
}
return(kernel);
}
MagickExport KernelInfo *AcquireKernelInfo(const char *kernel_string,
ExceptionInfo *exception)
{
KernelInfo
*kernel,
*new_kernel;
char
*kernel_cache,
token[MagickPathExtent];
const char
*p;
if (kernel_string == (const char *) NULL)
return(ParseKernelArray(kernel_string));
p=kernel_string;
kernel_cache=(char *) NULL;
if (*kernel_string == '@')
{
kernel_cache=FileToString(kernel_string+1,~0UL,exception);
if (kernel_cache == (char *) NULL)
return((KernelInfo *) NULL);
p=(const char *) kernel_cache;
}
kernel=NULL;
while (GetNextToken(p,(const char **) NULL,MagickPathExtent,token), *token != '\0')
{
/* ignore extra or multiple ';' kernel separators */
if (*token != ';')
{
/* tokens starting with alpha is a Named kernel */
if (isalpha((int) ((unsigned char) *token)) != 0)
new_kernel=ParseKernelName(p,exception);
else /* otherwise a user defined kernel array */
new_kernel=ParseKernelArray(p);
/* Error handling -- this is not proper error handling! */
if (new_kernel == (KernelInfo *) NULL)
{
if (kernel != (KernelInfo *) NULL)
kernel=DestroyKernelInfo(kernel);
return((KernelInfo *) NULL);
}
/* initialise or append the kernel list */
if (kernel == (KernelInfo *) NULL)
kernel=new_kernel;
else
LastKernelInfo(kernel)->next=new_kernel;
}
/* look for the next kernel in list */
p=strchr(p,';');
if (p == (char *) NULL)
break;
p++;
}
if (kernel_cache != (char *) NULL)
kernel_cache=DestroyString(kernel_cache);
return(kernel);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A c q u i r e K e r n e l B u i l t I n %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AcquireKernelBuiltIn() returned one of the 'named' built-in types of
% kernels used for special purposes such as gaussian blurring, skeleton
% pruning, and edge distance determination.
%
% They take a KernelType, and a set of geometry style arguments, which were
% typically decoded from a user supplied string, or from a more complex
% Morphology Method that was requested.
%
% The format of the AcquireKernalBuiltIn method is:
%
% KernelInfo *AcquireKernelBuiltIn(const KernelInfoType type,
% const GeometryInfo args)
%
% A description of each parameter follows:
%
% o type: the pre-defined type of kernel wanted
%
% o args: arguments defining or modifying the kernel
%
% Convolution Kernels
%
% Unity
% The a No-Op or Scaling single element kernel.
%
% Gaussian:{radius},{sigma}
% Generate a two-dimensional gaussian kernel, as used by -gaussian.
% The sigma for the curve is required. The resulting kernel is
% normalized,
%
% If 'sigma' is zero, you get a single pixel on a field of zeros.
%
% NOTE: that the 'radius' is optional, but if provided can limit (clip)
% the final size of the resulting kernel to a square 2*radius+1 in size.
% The radius should be at least 2 times that of the sigma value, or
% sever clipping and aliasing may result. If not given or set to 0 the
% radius will be determined so as to produce the best minimal error
% result, which is usally much larger than is normally needed.
%
% LoG:{radius},{sigma}
% "Laplacian of a Gaussian" or "Mexician Hat" Kernel.
% The supposed ideal edge detection, zero-summing kernel.
%
% An alturnative to this kernel is to use a "DoG" with a sigma ratio of
% approx 1.6 (according to wikipedia).
%
% DoG:{radius},{sigma1},{sigma2}
% "Difference of Gaussians" Kernel.
% As "Gaussian" but with a gaussian produced by 'sigma2' subtracted
% from the gaussian produced by 'sigma1'. Typically sigma2 > sigma1.
% The result is a zero-summing kernel.
%
% Blur:{radius},{sigma}[,{angle}]
% Generates a 1 dimensional or linear gaussian blur, at the angle given
% (current restricted to orthogonal angles). If a 'radius' is given the
% kernel is clipped to a width of 2*radius+1. Kernel can be rotated
% by a 90 degree angle.
%
% If 'sigma' is zero, you get a single pixel on a field of zeros.
%
% Note that two convolutions with two "Blur" kernels perpendicular to
% each other, is equivalent to a far larger "Gaussian" kernel with the
% same sigma value, However it is much faster to apply. This is how the
% "-blur" operator actually works.
%
% Comet:{width},{sigma},{angle}
% Blur in one direction only, much like how a bright object leaves
% a comet like trail. The Kernel is actually half a gaussian curve,
% Adding two such blurs in opposite directions produces a Blur Kernel.
% Angle can be rotated in multiples of 90 degrees.
%
% Note that the first argument is the width of the kernel and not the
% radius of the kernel.
%
% Binomial:[{radius}]
% Generate a discrete kernel using a 2 dimentional Pascel's Triangle
% of values. Used for special forma of image filters.
%
% # Still to be implemented...
% #
% # Filter2D
% # Filter1D
% # Set kernel values using a resize filter, and given scale (sigma)
% # Cylindrical or Linear. Is this possible with an image?
% #
%
% Named Constant Convolution Kernels
%
% All these are unscaled, zero-summing kernels by default. As such for
% non-HDRI version of ImageMagick some form of normalization, user scaling,
% and biasing the results is recommended, to prevent the resulting image
% being 'clipped'.
%
% The 3x3 kernels (most of these) can be circularly rotated in multiples of
% 45 degrees to generate the 8 angled varients of each of the kernels.
%
% Laplacian:{type}
% Discrete Lapacian Kernels, (without normalization)
% Type 0 : 3x3 with center:8 surounded by -1 (8 neighbourhood)
% Type 1 : 3x3 with center:4 edge:-1 corner:0 (4 neighbourhood)
% Type 2 : 3x3 with center:4 edge:1 corner:-2
% Type 3 : 3x3 with center:4 edge:-2 corner:1
% Type 5 : 5x5 laplacian
% Type 7 : 7x7 laplacian
% Type 15 : 5x5 LoG (sigma approx 1.4)
% Type 19 : 9x9 LoG (sigma approx 1.4)
%
% Sobel:{angle}
% Sobel 'Edge' convolution kernel (3x3)
% | -1, 0, 1 |
% | -2, 0,-2 |
% | -1, 0, 1 |
%
% Roberts:{angle}
% Roberts convolution kernel (3x3)
% | 0, 0, 0 |
% | -1, 1, 0 |
% | 0, 0, 0 |
%
% Prewitt:{angle}
% Prewitt Edge convolution kernel (3x3)
% | -1, 0, 1 |
% | -1, 0, 1 |
% | -1, 0, 1 |
%
% Compass:{angle}
% Prewitt's "Compass" convolution kernel (3x3)
% | -1, 1, 1 |
% | -1,-2, 1 |
% | -1, 1, 1 |
%
% Kirsch:{angle}
% Kirsch's "Compass" convolution kernel (3x3)
% | -3,-3, 5 |
% | -3, 0, 5 |
% | -3,-3, 5 |
%
% FreiChen:{angle}
% Frei-Chen Edge Detector is based on a kernel that is similar to
% the Sobel Kernel, but is designed to be isotropic. That is it takes
% into account the distance of the diagonal in the kernel.
%
% | 1, 0, -1 |
% | sqrt(2), 0, -sqrt(2) |
% | 1, 0, -1 |
%
% FreiChen:{type},{angle}
%
% Frei-Chen Pre-weighted kernels...
%
% Type 0: default un-nomalized version shown above.
%
% Type 1: Orthogonal Kernel (same as type 11 below)
% | 1, 0, -1 |
% | sqrt(2), 0, -sqrt(2) | / 2*sqrt(2)
% | 1, 0, -1 |
%
% Type 2: Diagonal form of Kernel...
% | 1, sqrt(2), 0 |
% | sqrt(2), 0, -sqrt(2) | / 2*sqrt(2)
% | 0, -sqrt(2) -1 |
%
% However this kernel is als at the heart of the FreiChen Edge Detection
% Process which uses a set of 9 specially weighted kernel. These 9
% kernels not be normalized, but directly applied to the image. The
% results is then added together, to produce the intensity of an edge in
% a specific direction. The square root of the pixel value can then be
% taken as the cosine of the edge, and at least 2 such runs at 90 degrees
% from each other, both the direction and the strength of the edge can be
% determined.
%
% Type 10: All 9 of the following pre-weighted kernels...
%
% Type 11: | 1, 0, -1 |
% | sqrt(2), 0, -sqrt(2) | / 2*sqrt(2)
% | 1, 0, -1 |
%
% Type 12: | 1, sqrt(2), 1 |
% | 0, 0, 0 | / 2*sqrt(2)
% | 1, sqrt(2), 1 |
%
% Type 13: | sqrt(2), -1, 0 |
% | -1, 0, 1 | / 2*sqrt(2)
% | 0, 1, -sqrt(2) |
%
% Type 14: | 0, 1, -sqrt(2) |
% | -1, 0, 1 | / 2*sqrt(2)
% | sqrt(2), -1, 0 |
%
% Type 15: | 0, -1, 0 |
% | 1, 0, 1 | / 2
% | 0, -1, 0 |
%
% Type 16: | 1, 0, -1 |
% | 0, 0, 0 | / 2
% | -1, 0, 1 |
%
% Type 17: | 1, -2, 1 |
% | -2, 4, -2 | / 6
% | -1, -2, 1 |
%
% Type 18: | -2, 1, -2 |
% | 1, 4, 1 | / 6
% | -2, 1, -2 |
%
% Type 19: | 1, 1, 1 |
% | 1, 1, 1 | / 3
% | 1, 1, 1 |
%
% The first 4 are for edge detection, the next 4 are for line detection
% and the last is to add a average component to the results.
%
% Using a special type of '-1' will return all 9 pre-weighted kernels
% as a multi-kernel list, so that you can use them directly (without
% normalization) with the special "-set option:morphology:compose Plus"
% setting to apply the full FreiChen Edge Detection Technique.
%
% If 'type' is large it will be taken to be an actual rotation angle for
% the default FreiChen (type 0) kernel. As such FreiChen:45 will look
% like a Sobel:45 but with 'sqrt(2)' instead of '2' values.
%
% WARNING: The above was layed out as per
% http://www.math.tau.ac.il/~turkel/notes/edge_detectors.pdf
% But rotated 90 degrees so direction is from left rather than the top.
% I have yet to find any secondary confirmation of the above. The only
% other source found was actual source code at
% http://ltswww.epfl.ch/~courstiv/exos_labos/sol3.pdf
% Neigher paper defineds the kernels in a way that looks locical or
% correct when taken as a whole.
%
% Boolean Kernels
%
% Diamond:[{radius}[,{scale}]]
% Generate a diamond shaped kernel with given radius to the points.
% Kernel size will again be radius*2+1 square and defaults to radius 1,
% generating a 3x3 kernel that is slightly larger than a square.
%
% Square:[{radius}[,{scale}]]
% Generate a square shaped kernel of size radius*2+1, and defaulting
% to a 3x3 (radius 1).
%
% Octagon:[{radius}[,{scale}]]
% Generate octagonal shaped kernel of given radius and constant scale.
% Default radius is 3 producing a 7x7 kernel. A radius of 1 will result
% in "Diamond" kernel.
%
% Disk:[{radius}[,{scale}]]
% Generate a binary disk, thresholded at the radius given, the radius
% may be a float-point value. Final Kernel size is floor(radius)*2+1
% square. A radius of 5.3 is the default.
%
% NOTE: That a low radii Disk kernels produce the same results as
% many of the previously defined kernels, but differ greatly at larger
% radii. Here is a table of equivalences...
% "Disk:1" => "Diamond", "Octagon:1", or "Cross:1"
% "Disk:1.5" => "Square"
% "Disk:2" => "Diamond:2"
% "Disk:2.5" => "Octagon"
% "Disk:2.9" => "Square:2"
% "Disk:3.5" => "Octagon:3"
% "Disk:4.5" => "Octagon:4"
% "Disk:5.4" => "Octagon:5"
% "Disk:6.4" => "Octagon:6"
% All other Disk shapes are unique to this kernel, but because a "Disk"
% is more circular when using a larger radius, using a larger radius is
% preferred over iterating the morphological operation.
%
% Rectangle:{geometry}
% Simply generate a rectangle of 1's with the size given. You can also
% specify the location of the 'control point', otherwise the closest
% pixel to the center of the rectangle is selected.
%
% Properly centered and odd sized rectangles work the best.
%
% Symbol Dilation Kernels
%
% These kernel is not a good general morphological kernel, but is used
% more for highlighting and marking any single pixels in an image using,
% a "Dilate" method as appropriate.
%
% For the same reasons iterating these kernels does not produce the
% same result as using a larger radius for the symbol.
%
% Plus:[{radius}[,{scale}]]
% Cross:[{radius}[,{scale}]]
% Generate a kernel in the shape of a 'plus' or a 'cross' with
% a each arm the length of the given radius (default 2).
%
% NOTE: "plus:1" is equivalent to a "Diamond" kernel.
%
% Ring:{radius1},{radius2}[,{scale}]
% A ring of the values given that falls between the two radii.
% Defaults to a ring of approximataly 3 radius in a 7x7 kernel.
% This is the 'edge' pixels of the default "Disk" kernel,
% More specifically, "Ring" -> "Ring:2.5,3.5,1.0"
%
% Hit and Miss Kernels
%
% Peak:radius1,radius2
% Find any peak larger than the pixels the fall between the two radii.
% The default ring of pixels is as per "Ring".
% Edges
% Find flat orthogonal edges of a binary shape
% Corners
% Find 90 degree corners of a binary shape
% Diagonals:type
% A special kernel to thin the 'outside' of diagonals
% LineEnds:type
% Find end points of lines (for pruning a skeletion)
% Two types of lines ends (default to both) can be searched for
% Type 0: All line ends
% Type 1: single kernel for 4-conneected line ends
% Type 2: single kernel for simple line ends
% LineJunctions
% Find three line junctions (within a skeletion)
% Type 0: all line junctions
% Type 1: Y Junction kernel
% Type 2: Diagonal T Junction kernel
% Type 3: Orthogonal T Junction kernel
% Type 4: Diagonal X Junction kernel
% Type 5: Orthogonal + Junction kernel
% Ridges:type
% Find single pixel ridges or thin lines
% Type 1: Fine single pixel thick lines and ridges
% Type 2: Find two pixel thick lines and ridges
% ConvexHull
% Octagonal Thickening Kernel, to generate convex hulls of 45 degrees
% Skeleton:type
% Traditional skeleton generating kernels.
% Type 1: Tradional Skeleton kernel (4 connected skeleton)
% Type 2: HIPR2 Skeleton kernel (8 connected skeleton)
% Type 3: Thinning skeleton based on a ressearch paper by
% Dan S. Bloomberg (Default Type)
% ThinSE:type
% A huge variety of Thinning Kernels designed to preserve conectivity.
% many other kernel sets use these kernels as source definitions.
% Type numbers are 41-49, 81-89, 481, and 482 which are based on
% the super and sub notations used in the source research paper.
%
% Distance Measuring Kernels
%
% Different types of distance measuring methods, which are used with the
% a 'Distance' morphology method for generating a gradient based on
% distance from an edge of a binary shape, though there is a technique
% for handling a anti-aliased shape.
%
% See the 'Distance' Morphological Method, for information of how it is
% applied.
%
% Chebyshev:[{radius}][x{scale}[%!]]
% Chebyshev Distance (also known as Tchebychev or Chessboard distance)
% is a value of one to any neighbour, orthogonal or diagonal. One why
% of thinking of it is the number of squares a 'King' or 'Queen' in
% chess needs to traverse reach any other position on a chess board.
% It results in a 'square' like distance function, but one where
% diagonals are given a value that is closer than expected.
%
% Manhattan:[{radius}][x{scale}[%!]]
% Manhattan Distance (also known as Rectilinear, City Block, or the Taxi
% Cab distance metric), it is the distance needed when you can only
% travel in horizontal or vertical directions only. It is the
% distance a 'Rook' in chess would have to travel, and results in a
% diamond like distances, where diagonals are further than expected.
%
% Octagonal:[{radius}][x{scale}[%!]]
% An interleving of Manhatten and Chebyshev metrics producing an
% increasing octagonally shaped distance. Distances matches those of
% the "Octagon" shaped kernel of the same radius. The minimum radius
% and default is 2, producing a 5x5 kernel.
%
% Euclidean:[{radius}][x{scale}[%!]]
% Euclidean distance is the 'direct' or 'as the crow flys' distance.
% However by default the kernel size only has a radius of 1, which
% limits the distance to 'Knight' like moves, with only orthogonal and
% diagonal measurements being correct. As such for the default kernel
% you will get octagonal like distance function.
%
% However using a larger radius such as "Euclidean:4" you will get a
% much smoother distance gradient from the edge of the shape. Especially
% if the image is pre-processed to include any anti-aliasing pixels.
% Of course a larger kernel is slower to use, and not always needed.
%
% The first three Distance Measuring Kernels will only generate distances
% of exact multiples of {scale} in binary images. As such you can use a
% scale of 1 without loosing any information. However you also need some
% scaling when handling non-binary anti-aliased shapes.
%
% The "Euclidean" Distance Kernel however does generate a non-integer
% fractional results, and as such scaling is vital even for binary shapes.
%
*/
MagickExport KernelInfo *AcquireKernelBuiltIn(const KernelInfoType type,
const GeometryInfo *args,ExceptionInfo *exception)
{
KernelInfo
*kernel;
register ssize_t
i;
register ssize_t
u,
v;
double
nan = sqrt((double)-1.0); /* Special Value : Not A Number */
/* Generate a new empty kernel if needed */
kernel=(KernelInfo *) NULL;
switch(type) {
case UndefinedKernel: /* These should not call this function */
case UserDefinedKernel:
assert("Should not call this function" != (char *) NULL);
break;
case LaplacianKernel: /* Named Descrete Convolution Kernels */
case SobelKernel: /* these are defined using other kernels */
case RobertsKernel:
case PrewittKernel:
case CompassKernel:
case KirschKernel:
case FreiChenKernel:
case EdgesKernel: /* Hit and Miss kernels */
case CornersKernel:
case DiagonalsKernel:
case LineEndsKernel:
case LineJunctionsKernel:
case RidgesKernel:
case ConvexHullKernel:
case SkeletonKernel:
case ThinSEKernel:
break; /* A pre-generated kernel is not needed */
#if 0
/* set to 1 to do a compile-time check that we haven't missed anything */
case UnityKernel:
case GaussianKernel:
case DoGKernel:
case LoGKernel:
case BlurKernel:
case CometKernel:
case BinomialKernel:
case DiamondKernel:
case SquareKernel:
case RectangleKernel:
case OctagonKernel:
case DiskKernel:
case PlusKernel:
case CrossKernel:
case RingKernel:
case PeaksKernel:
case ChebyshevKernel:
case ManhattanKernel:
case OctangonalKernel:
case EuclideanKernel:
#else
default:
#endif
/* Generate the base Kernel Structure */
kernel=(KernelInfo *) AcquireMagickMemory(sizeof(*kernel));
if (kernel == (KernelInfo *) NULL)
return(kernel);
(void) memset(kernel,0,sizeof(*kernel));
kernel->minimum = kernel->maximum = kernel->angle = 0.0;
kernel->negative_range = kernel->positive_range = 0.0;
kernel->type = type;
kernel->next = (KernelInfo *) NULL;
kernel->signature=MagickCoreSignature;
break;
}
switch(type) {
/*
Convolution Kernels
*/
case UnityKernel:
{
kernel->height = kernel->width = (size_t) 1;
kernel->x = kernel->y = (ssize_t) 0;
kernel->values=(MagickRealType *) MagickAssumeAligned(
AcquireAlignedMemory(1,sizeof(*kernel->values)));
if (kernel->values == (MagickRealType *) NULL)
return(DestroyKernelInfo(kernel));
kernel->maximum = kernel->values[0] = args->rho;
break;
}
break;
case GaussianKernel:
case DoGKernel:
case LoGKernel:
{ double
sigma = fabs(args->sigma),
sigma2 = fabs(args->xi),
A, B, R;
if ( args->rho >= 1.0 )
kernel->width = (size_t)args->rho*2+1;
else if ( (type != DoGKernel) || (sigma >= sigma2) )
kernel->width = GetOptimalKernelWidth2D(args->rho,sigma);
else
kernel->width = GetOptimalKernelWidth2D(args->rho,sigma2);
kernel->height = kernel->width;
kernel->x = kernel->y = (ssize_t) (kernel->width-1)/2;
kernel->values=(MagickRealType *) MagickAssumeAligned(
AcquireAlignedMemory(kernel->width,kernel->height*
sizeof(*kernel->values)));
if (kernel->values == (MagickRealType *) NULL)
return(DestroyKernelInfo(kernel));
/* WARNING: The following generates a 'sampled gaussian' kernel.
* What we really want is a 'discrete gaussian' kernel.
*
* How to do this is I don't know, but appears to be basied on the
* Error Function 'erf()' (intergral of a gaussian)
*/
if ( type == GaussianKernel || type == DoGKernel )
{ /* Calculate a Gaussian, OR positive half of a DoG */
if ( sigma > MagickEpsilon )
{ A = 1.0/(2.0*sigma*sigma); /* simplify loop expressions */
B = (double) (1.0/(Magick2PI*sigma*sigma));
for ( i=0, v=-kernel->y; v <= (ssize_t)kernel->y; v++)
for ( u=-kernel->x; u <= (ssize_t)kernel->x; u++, i++)
kernel->values[i] = exp(-((double)(u*u+v*v))*A)*B;
}
else /* limiting case - a unity (normalized Dirac) kernel */
{ (void) memset(kernel->values,0, (size_t)
kernel->width*kernel->height*sizeof(*kernel->values));
kernel->values[kernel->x+kernel->y*kernel->width] = 1.0;
}
}
if ( type == DoGKernel )
{ /* Subtract a Negative Gaussian for "Difference of Gaussian" */
if ( sigma2 > MagickEpsilon )
{ sigma = sigma2; /* simplify loop expressions */
A = 1.0/(2.0*sigma*sigma);
B = (double) (1.0/(Magick2PI*sigma*sigma));
for ( i=0, v=-kernel->y; v <= (ssize_t)kernel->y; v++)
for ( u=-kernel->x; u <= (ssize_t)kernel->x; u++, i++)
kernel->values[i] -= exp(-((double)(u*u+v*v))*A)*B;
}
else /* limiting case - a unity (normalized Dirac) kernel */
kernel->values[kernel->x+kernel->y*kernel->width] -= 1.0;
}
if ( type == LoGKernel )
{ /* Calculate a Laplacian of a Gaussian - Or Mexician Hat */
if ( sigma > MagickEpsilon )
{ A = 1.0/(2.0*sigma*sigma); /* simplify loop expressions */
B = (double) (1.0/(MagickPI*sigma*sigma*sigma*sigma));
for ( i=0, v=-kernel->y; v <= (ssize_t)kernel->y; v++)
for ( u=-kernel->x; u <= (ssize_t)kernel->x; u++, i++)
{ R = ((double)(u*u+v*v))*A;
kernel->values[i] = (1-R)*exp(-R)*B;
}
}
else /* special case - generate a unity kernel */
{ (void) memset(kernel->values,0, (size_t)
kernel->width*kernel->height*sizeof(*kernel->values));
kernel->values[kernel->x+kernel->y*kernel->width] = 1.0;
}
}
/* Note the above kernels may have been 'clipped' by a user defined
** radius, producing a smaller (darker) kernel. Also for very small
** sigma's (> 0.1) the central value becomes larger than one, and thus
** producing a very bright kernel.
**
** Normalization will still be needed.
*/
/* Normalize the 2D Gaussian Kernel
**
** NB: a CorrelateNormalize performs a normal Normalize if
** there are no negative values.
*/
CalcKernelMetaData(kernel); /* the other kernel meta-data */
ScaleKernelInfo(kernel, 1.0, CorrelateNormalizeValue);
break;
}
case BlurKernel:
{ double
sigma = fabs(args->sigma),
alpha, beta;
if ( args->rho >= 1.0 )
kernel->width = (size_t)args->rho*2+1;
else
kernel->width = GetOptimalKernelWidth1D(args->rho,sigma);
kernel->height = 1;
kernel->x = (ssize_t) (kernel->width-1)/2;
kernel->y = 0;
kernel->negative_range = kernel->positive_range = 0.0;
kernel->values=(MagickRealType *) MagickAssumeAligned(
AcquireAlignedMemory(kernel->width,kernel->height*
sizeof(*kernel->values)));
if (kernel->values == (MagickRealType *) NULL)
return(DestroyKernelInfo(kernel));
#if 1
#define KernelRank 3
/* Formula derived from GetBlurKernel() in "effect.c" (plus bug fix).
** It generates a gaussian 3 times the width, and compresses it into
** the expected range. This produces a closer normalization of the
** resulting kernel, especially for very low sigma values.
** As such while wierd it is prefered.
**
** I am told this method originally came from Photoshop.
**
** A properly normalized curve is generated (apart from edge clipping)
** even though we later normalize the result (for edge clipping)
** to allow the correct generation of a "Difference of Blurs".
*/
/* initialize */
v = (ssize_t) (kernel->width*KernelRank-1)/2; /* start/end points to fit range */
(void) memset(kernel->values,0, (size_t)
kernel->width*kernel->height*sizeof(*kernel->values));
/* Calculate a Positive 1D Gaussian */
if ( sigma > MagickEpsilon )
{ sigma *= KernelRank; /* simplify loop expressions */
alpha = 1.0/(2.0*sigma*sigma);
beta= (double) (1.0/(MagickSQ2PI*sigma ));
for ( u=-v; u <= v; u++) {
kernel->values[(u+v)/KernelRank] +=
exp(-((double)(u*u))*alpha)*beta;
}
}
else /* special case - generate a unity kernel */
kernel->values[kernel->x+kernel->y*kernel->width] = 1.0;
#else
/* Direct calculation without curve averaging
This is equivelent to a KernelRank of 1 */
/* Calculate a Positive Gaussian */
if ( sigma > MagickEpsilon )
{ alpha = 1.0/(2.0*sigma*sigma); /* simplify loop expressions */
beta = 1.0/(MagickSQ2PI*sigma);
for ( i=0, u=-kernel->x; u <= (ssize_t)kernel->x; u++, i++)
kernel->values[i] = exp(-((double)(u*u))*alpha)*beta;
}
else /* special case - generate a unity kernel */
{ (void) memset(kernel->values,0, (size_t)
kernel->width*kernel->height*sizeof(*kernel->values));
kernel->values[kernel->x+kernel->y*kernel->width] = 1.0;
}
#endif
/* Note the above kernel may have been 'clipped' by a user defined
** radius, producing a smaller (darker) kernel. Also for very small
** sigma's (> 0.1) the central value becomes larger than one, as a
** result of not generating a actual 'discrete' kernel, and thus
** producing a very bright 'impulse'.
**
** Becuase of these two factors Normalization is required!
*/
/* Normalize the 1D Gaussian Kernel
**
** NB: a CorrelateNormalize performs a normal Normalize if
** there are no negative values.
*/
CalcKernelMetaData(kernel); /* the other kernel meta-data */
ScaleKernelInfo(kernel, 1.0, CorrelateNormalizeValue);
/* rotate the 1D kernel by given angle */
RotateKernelInfo(kernel, args->xi );
break;
}
case CometKernel:
{ double
sigma = fabs(args->sigma),
A;
if ( args->rho < 1.0 )
kernel->width = (GetOptimalKernelWidth1D(args->rho,sigma)-1)/2+1;
else
kernel->width = (size_t)args->rho;
kernel->x = kernel->y = 0;
kernel->height = 1;
kernel->negative_range = kernel->positive_range = 0.0;
kernel->values=(MagickRealType *) MagickAssumeAligned(
AcquireAlignedMemory(kernel->width,kernel->height*
sizeof(*kernel->values)));
if (kernel->values == (MagickRealType *) NULL)
return(DestroyKernelInfo(kernel));
/* A comet blur is half a 1D gaussian curve, so that the object is
** blurred in one direction only. This may not be quite the right
** curve to use so may change in the future. The function must be
** normalised after generation, which also resolves any clipping.
**
** As we are normalizing and not subtracting gaussians,
** there is no need for a divisor in the gaussian formula
**
** It is less comples
*/
if ( sigma > MagickEpsilon )
{
#if 1
#define KernelRank 3
v = (ssize_t) kernel->width*KernelRank; /* start/end points */
(void) memset(kernel->values,0, (size_t)
kernel->width*sizeof(*kernel->values));
sigma *= KernelRank; /* simplify the loop expression */
A = 1.0/(2.0*sigma*sigma);
/* B = 1.0/(MagickSQ2PI*sigma); */
for ( u=0; u < v; u++) {
kernel->values[u/KernelRank] +=
exp(-((double)(u*u))*A);
/* exp(-((double)(i*i))/2.0*sigma*sigma)/(MagickSQ2PI*sigma); */
}
for (i=0; i < (ssize_t) kernel->width; i++)
kernel->positive_range += kernel->values[i];
#else
A = 1.0/(2.0*sigma*sigma); /* simplify the loop expression */
/* B = 1.0/(MagickSQ2PI*sigma); */
for ( i=0; i < (ssize_t) kernel->width; i++)
kernel->positive_range +=
kernel->values[i] = exp(-((double)(i*i))*A);
/* exp(-((double)(i*i))/2.0*sigma*sigma)/(MagickSQ2PI*sigma); */
#endif
}
else /* special case - generate a unity kernel */
{ (void) memset(kernel->values,0, (size_t)
kernel->width*kernel->height*sizeof(*kernel->values));
kernel->values[kernel->x+kernel->y*kernel->width] = 1.0;
kernel->positive_range = 1.0;
}
kernel->minimum = 0.0;
kernel->maximum = kernel->values[0];
kernel->negative_range = 0.0;
ScaleKernelInfo(kernel, 1.0, NormalizeValue); /* Normalize */
RotateKernelInfo(kernel, args->xi); /* Rotate by angle */
break;
}
case BinomialKernel:
{
size_t
order_f;
if (args->rho < 1.0)
kernel->width = kernel->height = 3; /* default radius = 1 */
else
kernel->width = kernel->height = ((size_t)args->rho)*2+1;
kernel->x = kernel->y = (ssize_t) (kernel->width-1)/2;
order_f = fact(kernel->width-1);
kernel->values=(MagickRealType *) MagickAssumeAligned(
AcquireAlignedMemory(kernel->width,kernel->height*
sizeof(*kernel->values)));
if (kernel->values == (MagickRealType *) NULL)
return(DestroyKernelInfo(kernel));
/* set all kernel values within diamond area to scale given */
for ( i=0, v=0; v < (ssize_t)kernel->height; v++)
{ size_t
alpha = order_f / ( fact((size_t) v) * fact(kernel->height-v-1) );
for ( u=0; u < (ssize_t)kernel->width; u++, i++)
kernel->positive_range += kernel->values[i] = (double)
(alpha * order_f / ( fact((size_t) u) * fact(kernel->height-u-1) ));
}
kernel->minimum = 1.0;
kernel->maximum = kernel->values[kernel->x+kernel->y*kernel->width];
kernel->negative_range = 0.0;
break;
}
/*
Convolution Kernels - Well Known Named Constant Kernels
*/
case LaplacianKernel:
{ switch ( (int) args->rho ) {
case 0:
default: /* laplacian square filter -- default */
kernel=ParseKernelArray("3: -1,-1,-1 -1,8,-1 -1,-1,-1");
break;
case 1: /* laplacian diamond filter */
kernel=ParseKernelArray("3: 0,-1,0 -1,4,-1 0,-1,0");
break;
case 2:
kernel=ParseKernelArray("3: -2,1,-2 1,4,1 -2,1,-2");
break;
case 3:
kernel=ParseKernelArray("3: 1,-2,1 -2,4,-2 1,-2,1");
break;
case 5: /* a 5x5 laplacian */
kernel=ParseKernelArray(
"5: -4,-1,0,-1,-4 -1,2,3,2,-1 0,3,4,3,0 -1,2,3,2,-1 -4,-1,0,-1,-4");
break;
case 7: /* a 7x7 laplacian */
kernel=ParseKernelArray(
"7:-10,-5,-2,-1,-2,-5,-10 -5,0,3,4,3,0,-5 -2,3,6,7,6,3,-2 -1,4,7,8,7,4,-1 -2,3,6,7,6,3,-2 -5,0,3,4,3,0,-5 -10,-5,-2,-1,-2,-5,-10" );
break;
case 15: /* a 5x5 LoG (sigma approx 1.4) */
kernel=ParseKernelArray(
"5: 0,0,-1,0,0 0,-1,-2,-1,0 -1,-2,16,-2,-1 0,-1,-2,-1,0 0,0,-1,0,0");
break;
case 19: /* a 9x9 LoG (sigma approx 1.4) */
/* http://www.cscjournals.org/csc/manuscript/Journals/IJIP/volume3/Issue1/IJIP-15.pdf */
kernel=ParseKernelArray(
"9: 0,-1,-1,-2,-2,-2,-1,-1,0 -1,-2,-4,-5,-5,-5,-4,-2,-1 -1,-4,-5,-3,-0,-3,-5,-4,-1 -2,-5,-3,12,24,12,-3,-5,-2 -2,-5,-0,24,40,24,-0,-5,-2 -2,-5,-3,12,24,12,-3,-5,-2 -1,-4,-5,-3,-0,-3,-5,-4,-1 -1,-2,-4,-5,-5,-5,-4,-2,-1 0,-1,-1,-2,-2,-2,-1,-1,0");
break;
}
if (kernel == (KernelInfo *) NULL)
return(kernel);
kernel->type = type;
break;
}
case SobelKernel:
{ /* Simple Sobel Kernel */
kernel=ParseKernelArray("3: 1,0,-1 2,0,-2 1,0,-1");
if (kernel == (KernelInfo *) NULL)
return(kernel);
kernel->type = type;
RotateKernelInfo(kernel, args->rho);
break;
}
case RobertsKernel:
{
kernel=ParseKernelArray("3: 0,0,0 1,-1,0 0,0,0");
if (kernel == (KernelInfo *) NULL)
return(kernel);
kernel->type = type;
RotateKernelInfo(kernel, args->rho);
break;
}
case PrewittKernel:
{
kernel=ParseKernelArray("3: 1,0,-1 1,0,-1 1,0,-1");
if (kernel == (KernelInfo *) NULL)
return(kernel);
kernel->type = type;
RotateKernelInfo(kernel, args->rho);
break;
}
case CompassKernel:
{
kernel=ParseKernelArray("3: 1,1,-1 1,-2,-1 1,1,-1");
if (kernel == (KernelInfo *) NULL)
return(kernel);
kernel->type = type;
RotateKernelInfo(kernel, args->rho);
break;
}
case KirschKernel:
{
kernel=ParseKernelArray("3: 5,-3,-3 5,0,-3 5,-3,-3");
if (kernel == (KernelInfo *) NULL)
return(kernel);
kernel->type = type;
RotateKernelInfo(kernel, args->rho);
break;
}
case FreiChenKernel:
/* Direction is set to be left to right positive */
/* http://www.math.tau.ac.il/~turkel/notes/edge_detectors.pdf -- RIGHT? */
/* http://ltswww.epfl.ch/~courstiv/exos_labos/sol3.pdf -- WRONG? */
{ switch ( (int) args->rho ) {
default:
case 0:
kernel=ParseKernelArray("3: 1,0,-1 2,0,-2 1,0,-1");
if (kernel == (KernelInfo *) NULL)
return(kernel);
kernel->type = type;
kernel->values[3] = +(MagickRealType) MagickSQ2;
kernel->values[5] = -(MagickRealType) MagickSQ2;
CalcKernelMetaData(kernel); /* recalculate meta-data */
break;
case 2:
kernel=ParseKernelArray("3: 1,2,0 2,0,-2 0,-2,-1");
if (kernel == (KernelInfo *) NULL)
return(kernel);
kernel->type = type;
kernel->values[1] = kernel->values[3]= +(MagickRealType) MagickSQ2;
kernel->values[5] = kernel->values[7]= -(MagickRealType) MagickSQ2;
CalcKernelMetaData(kernel); /* recalculate meta-data */
ScaleKernelInfo(kernel, (double) (1.0/2.0*MagickSQ2), NoValue);
break;
case 10:
{
kernel=AcquireKernelInfo("FreiChen:11;FreiChen:12;FreiChen:13;FreiChen:14;FreiChen:15;FreiChen:16;FreiChen:17;FreiChen:18;FreiChen:19",exception);
if (kernel == (KernelInfo *) NULL)
return(kernel);
break;
}
case 1:
case 11:
kernel=ParseKernelArray("3: 1,0,-1 2,0,-2 1,0,-1");
if (kernel == (KernelInfo *) NULL)
return(kernel);
kernel->type = type;
kernel->values[3] = +(MagickRealType) MagickSQ2;
kernel->values[5] = -(MagickRealType) MagickSQ2;
CalcKernelMetaData(kernel); /* recalculate meta-data */
ScaleKernelInfo(kernel, (double) (1.0/2.0*MagickSQ2), NoValue);
break;
case 12:
kernel=ParseKernelArray("3: 1,2,1 0,0,0 1,2,1");
if (kernel == (KernelInfo *) NULL)
return(kernel);
kernel->type = type;
kernel->values[1] = +(MagickRealType) MagickSQ2;
kernel->values[7] = +(MagickRealType) MagickSQ2;
CalcKernelMetaData(kernel);
ScaleKernelInfo(kernel, (double) (1.0/2.0*MagickSQ2), NoValue);
break;
case 13:
kernel=ParseKernelArray("3: 2,-1,0 -1,0,1 0,1,-2");
if (kernel == (KernelInfo *) NULL)
return(kernel);
kernel->type = type;
kernel->values[0] = +(MagickRealType) MagickSQ2;
kernel->values[8] = -(MagickRealType) MagickSQ2;
CalcKernelMetaData(kernel);
ScaleKernelInfo(kernel, (double) (1.0/2.0*MagickSQ2), NoValue);
break;
case 14:
kernel=ParseKernelArray("3: 0,1,-2 -1,0,1 2,-1,0");
if (kernel == (KernelInfo *) NULL)
return(kernel);
kernel->type = type;
kernel->values[2] = -(MagickRealType) MagickSQ2;
kernel->values[6] = +(MagickRealType) MagickSQ2;
CalcKernelMetaData(kernel);
ScaleKernelInfo(kernel, (double) (1.0/2.0*MagickSQ2), NoValue);
break;
case 15:
kernel=ParseKernelArray("3: 0,-1,0 1,0,1 0,-1,0");
if (kernel == (KernelInfo *) NULL)
return(kernel);
kernel->type = type;
ScaleKernelInfo(kernel, 1.0/2.0, NoValue);
break;
case 16:
kernel=ParseKernelArray("3: 1,0,-1 0,0,0 -1,0,1");
if (kernel == (KernelInfo *) NULL)
return(kernel);
kernel->type = type;
ScaleKernelInfo(kernel, 1.0/2.0, NoValue);
break;
case 17:
kernel=ParseKernelArray("3: 1,-2,1 -2,4,-2 -1,-2,1");
if (kernel == (KernelInfo *) NULL)
return(kernel);
kernel->type = type;
ScaleKernelInfo(kernel, 1.0/6.0, NoValue);
break;
case 18:
kernel=ParseKernelArray("3: -2,1,-2 1,4,1 -2,1,-2");
if (kernel == (KernelInfo *) NULL)
return(kernel);
kernel->type = type;
ScaleKernelInfo(kernel, 1.0/6.0, NoValue);
break;
case 19:
kernel=ParseKernelArray("3: 1,1,1 1,1,1 1,1,1");
if (kernel == (KernelInfo *) NULL)
return(kernel);
kernel->type = type;
ScaleKernelInfo(kernel, 1.0/3.0, NoValue);
break;
}
if ( fabs(args->sigma) >= MagickEpsilon )
/* Rotate by correctly supplied 'angle' */
RotateKernelInfo(kernel, args->sigma);
else if ( args->rho > 30.0 || args->rho < -30.0 )
/* Rotate by out of bounds 'type' */
RotateKernelInfo(kernel, args->rho);
break;
}
/*
Boolean or Shaped Kernels
*/
case DiamondKernel:
{
if (args->rho < 1.0)
kernel->width = kernel->height = 3; /* default radius = 1 */
else
kernel->width = kernel->height = ((size_t)args->rho)*2+1;
kernel->x = kernel->y = (ssize_t) (kernel->width-1)/2;
kernel->values=(MagickRealType *) MagickAssumeAligned(
AcquireAlignedMemory(kernel->width,kernel->height*
sizeof(*kernel->values)));
if (kernel->values == (MagickRealType *) NULL)
return(DestroyKernelInfo(kernel));
/* set all kernel values within diamond area to scale given */
for ( i=0, v=-kernel->y; v <= (ssize_t)kernel->y; v++)
for ( u=-kernel->x; u <= (ssize_t)kernel->x; u++, i++)
if ( (labs((long) u)+labs((long) v)) <= (long) kernel->x)
kernel->positive_range += kernel->values[i] = args->sigma;
else
kernel->values[i] = nan;
kernel->minimum = kernel->maximum = args->sigma; /* a flat shape */
break;
}
case SquareKernel:
case RectangleKernel:
{ double
scale;
if ( type == SquareKernel )
{
if (args->rho < 1.0)
kernel->width = kernel->height = 3; /* default radius = 1 */
else
kernel->width = kernel->height = (size_t) (2*args->rho+1);
kernel->x = kernel->y = (ssize_t) (kernel->width-1)/2;
scale = args->sigma;
}
else {
/* NOTE: user defaults set in "AcquireKernelInfo()" */
if ( args->rho < 1.0 || args->sigma < 1.0 )
return(DestroyKernelInfo(kernel)); /* invalid args given */
kernel->width = (size_t)args->rho;
kernel->height = (size_t)args->sigma;
if ( args->xi < 0.0 || args->xi > (double)kernel->width ||
args->psi < 0.0 || args->psi > (double)kernel->height )
return(DestroyKernelInfo(kernel)); /* invalid args given */
kernel->x = (ssize_t) args->xi;
kernel->y = (ssize_t) args->psi;
scale = 1.0;
}
kernel->values=(MagickRealType *) MagickAssumeAligned(
AcquireAlignedMemory(kernel->width,kernel->height*
sizeof(*kernel->values)));
if (kernel->values == (MagickRealType *) NULL)
return(DestroyKernelInfo(kernel));
/* set all kernel values to scale given */
u=(ssize_t) (kernel->width*kernel->height);
for ( i=0; i < u; i++)
kernel->values[i] = scale;
kernel->minimum = kernel->maximum = scale; /* a flat shape */
kernel->positive_range = scale*u;
break;
}
case OctagonKernel:
{
if (args->rho < 1.0)
kernel->width = kernel->height = 5; /* default radius = 2 */
else
kernel->width = kernel->height = ((size_t)args->rho)*2+1;
kernel->x = kernel->y = (ssize_t) (kernel->width-1)/2;
kernel->values=(MagickRealType *) MagickAssumeAligned(
AcquireAlignedMemory(kernel->width,kernel->height*
sizeof(*kernel->values)));
if (kernel->values == (MagickRealType *) NULL)
return(DestroyKernelInfo(kernel));
for ( i=0, v=-kernel->y; v <= (ssize_t)kernel->y; v++)
for ( u=-kernel->x; u <= (ssize_t)kernel->x; u++, i++)
if ( (labs((long) u)+labs((long) v)) <=
((long)kernel->x + (long)(kernel->x/2)) )
kernel->positive_range += kernel->values[i] = args->sigma;
else
kernel->values[i] = nan;
kernel->minimum = kernel->maximum = args->sigma; /* a flat shape */
break;
}
case DiskKernel:
{
ssize_t
limit = (ssize_t)(args->rho*args->rho);
if (args->rho < 0.4) /* default radius approx 4.3 */
kernel->width = kernel->height = 9L, limit = 18L;
else
kernel->width = kernel->height = (size_t)fabs(args->rho)*2+1;
kernel->x = kernel->y = (ssize_t) (kernel->width-1)/2;
kernel->values=(MagickRealType *) MagickAssumeAligned(
AcquireAlignedMemory(kernel->width,kernel->height*
sizeof(*kernel->values)));
if (kernel->values == (MagickRealType *) NULL)
return(DestroyKernelInfo(kernel));
for ( i=0, v=-kernel->y; v <= (ssize_t)kernel->y; v++)
for ( u=-kernel->x; u <= (ssize_t)kernel->x; u++, i++)
if ((u*u+v*v) <= limit)
kernel->positive_range += kernel->values[i] = args->sigma;
else
kernel->values[i] = nan;
kernel->minimum = kernel->maximum = args->sigma; /* a flat shape */
break;
}
case PlusKernel:
{
if (args->rho < 1.0)
kernel->width = kernel->height = 5; /* default radius 2 */
else
kernel->width = kernel->height = ((size_t)args->rho)*2+1;
kernel->x = kernel->y = (ssize_t) (kernel->width-1)/2;
kernel->values=(MagickRealType *) MagickAssumeAligned(
AcquireAlignedMemory(kernel->width,kernel->height*
sizeof(*kernel->values)));
if (kernel->values == (MagickRealType *) NULL)
return(DestroyKernelInfo(kernel));
/* set all kernel values along axises to given scale */
for ( i=0, v=-kernel->y; v <= (ssize_t)kernel->y; v++)
for ( u=-kernel->x; u <= (ssize_t)kernel->x; u++, i++)
kernel->values[i] = (u == 0 || v == 0) ? args->sigma : nan;
kernel->minimum = kernel->maximum = args->sigma; /* a flat shape */
kernel->positive_range = args->sigma*(kernel->width*2.0 - 1.0);
break;
}
case CrossKernel:
{
if (args->rho < 1.0)
kernel->width = kernel->height = 5; /* default radius 2 */
else
kernel->width = kernel->height = ((size_t)args->rho)*2+1;
kernel->x = kernel->y = (ssize_t) (kernel->width-1)/2;
kernel->values=(MagickRealType *) MagickAssumeAligned(
AcquireAlignedMemory(kernel->width,kernel->height*
sizeof(*kernel->values)));
if (kernel->values == (MagickRealType *) NULL)
return(DestroyKernelInfo(kernel));
/* set all kernel values along axises to given scale */
for ( i=0, v=-kernel->y; v <= (ssize_t)kernel->y; v++)
for ( u=-kernel->x; u <= (ssize_t)kernel->x; u++, i++)
kernel->values[i] = (u == v || u == -v) ? args->sigma : nan;
kernel->minimum = kernel->maximum = args->sigma; /* a flat shape */
kernel->positive_range = args->sigma*(kernel->width*2.0 - 1.0);
break;
}
/*
HitAndMiss Kernels
*/
case RingKernel:
case PeaksKernel:
{
ssize_t
limit1,
limit2,
scale;
if (args->rho < args->sigma)
{
kernel->width = ((size_t)args->sigma)*2+1;
limit1 = (ssize_t)(args->rho*args->rho);
limit2 = (ssize_t)(args->sigma*args->sigma);
}
else
{
kernel->width = ((size_t)args->rho)*2+1;
limit1 = (ssize_t)(args->sigma*args->sigma);
limit2 = (ssize_t)(args->rho*args->rho);
}
if ( limit2 <= 0 )
kernel->width = 7L, limit1 = 7L, limit2 = 11L;
kernel->height = kernel->width;
kernel->x = kernel->y = (ssize_t) (kernel->width-1)/2;
kernel->values=(MagickRealType *) MagickAssumeAligned(
AcquireAlignedMemory(kernel->width,kernel->height*
sizeof(*kernel->values)));
if (kernel->values == (MagickRealType *) NULL)
return(DestroyKernelInfo(kernel));
/* set a ring of points of 'scale' ( 0.0 for PeaksKernel ) */
scale = (ssize_t) (( type == PeaksKernel) ? 0.0 : args->xi);
for ( i=0, v= -kernel->y; v <= (ssize_t)kernel->y; v++)
for ( u=-kernel->x; u <= (ssize_t)kernel->x; u++, i++)
{ ssize_t radius=u*u+v*v;
if (limit1 < radius && radius <= limit2)
kernel->positive_range += kernel->values[i] = (double) scale;
else
kernel->values[i] = nan;
}
kernel->minimum = kernel->maximum = (double) scale;
if ( type == PeaksKernel ) {
/* set the central point in the middle */
kernel->values[kernel->x+kernel->y*kernel->width] = 1.0;
kernel->positive_range = 1.0;
kernel->maximum = 1.0;
}
break;
}
case EdgesKernel:
{
kernel=AcquireKernelInfo("ThinSE:482",exception);
if (kernel == (KernelInfo *) NULL)
return(kernel);
kernel->type = type;
ExpandMirrorKernelInfo(kernel); /* mirror expansion of kernels */
break;
}
case CornersKernel:
{
kernel=AcquireKernelInfo("ThinSE:87",exception);
if (kernel == (KernelInfo *) NULL)
return(kernel);
kernel->type = type;
ExpandRotateKernelInfo(kernel, 90.0); /* Expand 90 degree rotations */
break;
}
case DiagonalsKernel:
{
switch ( (int) args->rho ) {
case 0:
default:
{ KernelInfo
*new_kernel;
kernel=ParseKernelArray("3: 0,0,0 0,-,1 1,1,-");
if (kernel == (KernelInfo *) NULL)
return(kernel);
kernel->type = type;
new_kernel=ParseKernelArray("3: 0,0,1 0,-,1 0,1,-");
if (new_kernel == (KernelInfo *) NULL)
return(DestroyKernelInfo(kernel));
new_kernel->type = type;
LastKernelInfo(kernel)->next = new_kernel;
ExpandMirrorKernelInfo(kernel);
return(kernel);
}
case 1:
kernel=ParseKernelArray("3: 0,0,0 0,-,1 1,1,-");
break;
case 2:
kernel=ParseKernelArray("3: 0,0,1 0,-,1 0,1,-");
break;
}
if (kernel == (KernelInfo *) NULL)
return(kernel);
kernel->type = type;
RotateKernelInfo(kernel, args->sigma);
break;
}
case LineEndsKernel:
{ /* Kernels for finding the end of thin lines */
switch ( (int) args->rho ) {
case 0:
default:
/* set of kernels to find all end of lines */
return(AcquireKernelInfo("LineEnds:1>;LineEnds:2>",exception));
case 1:
/* kernel for 4-connected line ends - no rotation */
kernel=ParseKernelArray("3: 0,0,- 0,1,1 0,0,-");
break;
case 2:
/* kernel to add for 8-connected lines - no rotation */
kernel=ParseKernelArray("3: 0,0,0 0,1,0 0,0,1");
break;
case 3:
/* kernel to add for orthogonal line ends - does not find corners */
kernel=ParseKernelArray("3: 0,0,0 0,1,1 0,0,0");
break;
case 4:
/* traditional line end - fails on last T end */
kernel=ParseKernelArray("3: 0,0,0 0,1,- 0,0,-");
break;
}
if (kernel == (KernelInfo *) NULL)
return(kernel);
kernel->type = type;
RotateKernelInfo(kernel, args->sigma);
break;
}
case LineJunctionsKernel:
{ /* kernels for finding the junctions of multiple lines */
switch ( (int) args->rho ) {
case 0:
default:
/* set of kernels to find all line junctions */
return(AcquireKernelInfo("LineJunctions:1@;LineJunctions:2>",exception));
case 1:
/* Y Junction */
kernel=ParseKernelArray("3: 1,-,1 -,1,- -,1,-");
break;
case 2:
/* Diagonal T Junctions */
kernel=ParseKernelArray("3: 1,-,- -,1,- 1,-,1");
break;
case 3:
/* Orthogonal T Junctions */
kernel=ParseKernelArray("3: -,-,- 1,1,1 -,1,-");
break;
case 4:
/* Diagonal X Junctions */
kernel=ParseKernelArray("3: 1,-,1 -,1,- 1,-,1");
break;
case 5:
/* Orthogonal X Junctions - minimal diamond kernel */
kernel=ParseKernelArray("3: -,1,- 1,1,1 -,1,-");
break;
}
if (kernel == (KernelInfo *) NULL)
return(kernel);
kernel->type = type;
RotateKernelInfo(kernel, args->sigma);
break;
}
case RidgesKernel:
{ /* Ridges - Ridge finding kernels */
KernelInfo
*new_kernel;
switch ( (int) args->rho ) {
case 1:
default:
kernel=ParseKernelArray("3x1:0,1,0");
if (kernel == (KernelInfo *) NULL)
return(kernel);
kernel->type = type;
ExpandRotateKernelInfo(kernel, 90.0); /* 2 rotated kernels (symmetrical) */
break;
case 2:
kernel=ParseKernelArray("4x1:0,1,1,0");
if (kernel == (KernelInfo *) NULL)
return(kernel);
kernel->type = type;
ExpandRotateKernelInfo(kernel, 90.0); /* 4 rotated kernels */
/* Kernels to find a stepped 'thick' line, 4 rotates + mirrors */
/* Unfortunatally we can not yet rotate a non-square kernel */
/* But then we can't flip a non-symetrical kernel either */
new_kernel=ParseKernelArray("4x3+1+1:0,1,1,- -,1,1,- -,1,1,0");
if (new_kernel == (KernelInfo *) NULL)
return(DestroyKernelInfo(kernel));
new_kernel->type = type;
LastKernelInfo(kernel)->next = new_kernel;
new_kernel=ParseKernelArray("4x3+2+1:0,1,1,- -,1,1,- -,1,1,0");
if (new_kernel == (KernelInfo *) NULL)
return(DestroyKernelInfo(kernel));
new_kernel->type = type;
LastKernelInfo(kernel)->next = new_kernel;
new_kernel=ParseKernelArray("4x3+1+1:-,1,1,0 -,1,1,- 0,1,1,-");
if (new_kernel == (KernelInfo *) NULL)
return(DestroyKernelInfo(kernel));
new_kernel->type = type;
LastKernelInfo(kernel)->next = new_kernel;
new_kernel=ParseKernelArray("4x3+2+1:-,1,1,0 -,1,1,- 0,1,1,-");
if (new_kernel == (KernelInfo *) NULL)
return(DestroyKernelInfo(kernel));
new_kernel->type = type;
LastKernelInfo(kernel)->next = new_kernel;
new_kernel=ParseKernelArray("3x4+1+1:0,-,- 1,1,1 1,1,1 -,-,0");
if (new_kernel == (KernelInfo *) NULL)
return(DestroyKernelInfo(kernel));
new_kernel->type = type;
LastKernelInfo(kernel)->next = new_kernel;
new_kernel=ParseKernelArray("3x4+1+2:0,-,- 1,1,1 1,1,1 -,-,0");
if (new_kernel == (KernelInfo *) NULL)
return(DestroyKernelInfo(kernel));
new_kernel->type = type;
LastKernelInfo(kernel)->next = new_kernel;
new_kernel=ParseKernelArray("3x4+1+1:-,-,0 1,1,1 1,1,1 0,-,-");
if (new_kernel == (KernelInfo *) NULL)
return(DestroyKernelInfo(kernel));
new_kernel->type = type;
LastKernelInfo(kernel)->next = new_kernel;
new_kernel=ParseKernelArray("3x4+1+2:-,-,0 1,1,1 1,1,1 0,-,-");
if (new_kernel == (KernelInfo *) NULL)
return(DestroyKernelInfo(kernel));
new_kernel->type = type;
LastKernelInfo(kernel)->next = new_kernel;
break;
}
break;
}
case ConvexHullKernel:
{
KernelInfo
*new_kernel;
/* first set of 8 kernels */
kernel=ParseKernelArray("3: 1,1,- 1,0,- 1,-,0");
if (kernel == (KernelInfo *) NULL)
return(kernel);
kernel->type = type;
ExpandRotateKernelInfo(kernel, 90.0);
/* append the mirror versions too - no flip function yet */
new_kernel=ParseKernelArray("3: 1,1,1 1,0,- -,-,0");
if (new_kernel == (KernelInfo *) NULL)
return(DestroyKernelInfo(kernel));
new_kernel->type = type;
ExpandRotateKernelInfo(new_kernel, 90.0);
LastKernelInfo(kernel)->next = new_kernel;
break;
}
case SkeletonKernel:
{
switch ( (int) args->rho ) {
case 1:
default:
/* Traditional Skeleton...
** A cyclically rotated single kernel
*/
kernel=AcquireKernelInfo("ThinSE:482",exception);
if (kernel == (KernelInfo *) NULL)
return(kernel);
kernel->type = type;
ExpandRotateKernelInfo(kernel, 45.0); /* 8 rotations */
break;
case 2:
/* HIPR Variation of the cyclic skeleton
** Corners of the traditional method made more forgiving,
** but the retain the same cyclic order.
*/
kernel=AcquireKernelInfo("ThinSE:482; ThinSE:87x90;",exception);
if (kernel == (KernelInfo *) NULL)
return(kernel);
if (kernel->next == (KernelInfo *) NULL)
return(DestroyKernelInfo(kernel));
kernel->type = type;
kernel->next->type = type;
ExpandRotateKernelInfo(kernel, 90.0); /* 4 rotations of the 2 kernels */
break;
case 3:
/* Dan Bloomberg Skeleton, from his paper on 3x3 thinning SE's
** "Connectivity-Preserving Morphological Image Thransformations"
** by Dan S. Bloomberg, available on Leptonica, Selected Papers,
** http://www.leptonica.com/papers/conn.pdf
*/
kernel=AcquireKernelInfo("ThinSE:41; ThinSE:42; ThinSE:43",
exception);
if (kernel == (KernelInfo *) NULL)
return(kernel);
kernel->type = type;
kernel->next->type = type;
kernel->next->next->type = type;
ExpandMirrorKernelInfo(kernel); /* 12 kernels total */
break;
}
break;
}
case ThinSEKernel:
{ /* Special kernels for general thinning, while preserving connections
** "Connectivity-Preserving Morphological Image Thransformations"
** by Dan S. Bloomberg, available on Leptonica, Selected Papers,
** http://www.leptonica.com/papers/conn.pdf
** And
** http://tpgit.github.com/Leptonica/ccthin_8c_source.html
**
** Note kernels do not specify the origin pixel, allowing them
** to be used for both thickening and thinning operations.
*/
switch ( (int) args->rho ) {
/* SE for 4-connected thinning */
case 41: /* SE_4_1 */
kernel=ParseKernelArray("3: -,-,1 0,-,1 -,-,1");
break;
case 42: /* SE_4_2 */
kernel=ParseKernelArray("3: -,-,1 0,-,1 -,0,-");
break;
case 43: /* SE_4_3 */
kernel=ParseKernelArray("3: -,0,- 0,-,1 -,-,1");
break;
case 44: /* SE_4_4 */
kernel=ParseKernelArray("3: -,0,- 0,-,1 -,0,-");
break;
case 45: /* SE_4_5 */
kernel=ParseKernelArray("3: -,0,1 0,-,1 -,0,-");
break;
case 46: /* SE_4_6 */
kernel=ParseKernelArray("3: -,0,- 0,-,1 -,0,1");
break;
case 47: /* SE_4_7 */
kernel=ParseKernelArray("3: -,1,1 0,-,1 -,0,-");
break;
case 48: /* SE_4_8 */
kernel=ParseKernelArray("3: -,-,1 0,-,1 0,-,1");
break;
case 49: /* SE_4_9 */
kernel=ParseKernelArray("3: 0,-,1 0,-,1 -,-,1");
break;
/* SE for 8-connected thinning - negatives of the above */
case 81: /* SE_8_0 */
kernel=ParseKernelArray("3: -,1,- 0,-,1 -,1,-");
break;
case 82: /* SE_8_2 */
kernel=ParseKernelArray("3: -,1,- 0,-,1 0,-,-");
break;
case 83: /* SE_8_3 */
kernel=ParseKernelArray("3: 0,-,- 0,-,1 -,1,-");
break;
case 84: /* SE_8_4 */
kernel=ParseKernelArray("3: 0,-,- 0,-,1 0,-,-");
break;
case 85: /* SE_8_5 */
kernel=ParseKernelArray("3: 0,-,1 0,-,1 0,-,-");
break;
case 86: /* SE_8_6 */
kernel=ParseKernelArray("3: 0,-,- 0,-,1 0,-,1");
break;
case 87: /* SE_8_7 */
kernel=ParseKernelArray("3: -,1,- 0,-,1 0,0,-");
break;
case 88: /* SE_8_8 */
kernel=ParseKernelArray("3: -,1,- 0,-,1 0,1,-");
break;
case 89: /* SE_8_9 */
kernel=ParseKernelArray("3: 0,1,- 0,-,1 -,1,-");
break;
/* Special combined SE kernels */
case 423: /* SE_4_2 , SE_4_3 Combined Kernel */
kernel=ParseKernelArray("3: -,-,1 0,-,- -,0,-");
break;
case 823: /* SE_8_2 , SE_8_3 Combined Kernel */
kernel=ParseKernelArray("3: -,1,- -,-,1 0,-,-");
break;
case 481: /* SE_48_1 - General Connected Corner Kernel */
kernel=ParseKernelArray("3: -,1,1 0,-,1 0,0,-");
break;
default:
case 482: /* SE_48_2 - General Edge Kernel */
kernel=ParseKernelArray("3: 0,-,1 0,-,1 0,-,1");
break;
}
if (kernel == (KernelInfo *) NULL)
return(kernel);
kernel->type = type;
RotateKernelInfo(kernel, args->sigma);
break;
}
/*
Distance Measuring Kernels
*/
case ChebyshevKernel:
{
if (args->rho < 1.0)
kernel->width = kernel->height = 3; /* default radius = 1 */
else
kernel->width = kernel->height = ((size_t)args->rho)*2+1;
kernel->x = kernel->y = (ssize_t) (kernel->width-1)/2;
kernel->values=(MagickRealType *) MagickAssumeAligned(
AcquireAlignedMemory(kernel->width,kernel->height*
sizeof(*kernel->values)));
if (kernel->values == (MagickRealType *) NULL)
return(DestroyKernelInfo(kernel));
for ( i=0, v=-kernel->y; v <= (ssize_t)kernel->y; v++)
for ( u=-kernel->x; u <= (ssize_t)kernel->x; u++, i++)
kernel->positive_range += ( kernel->values[i] =
args->sigma*MagickMax(fabs((double)u),fabs((double)v)) );
kernel->maximum = kernel->values[0];
break;
}
case ManhattanKernel:
{
if (args->rho < 1.0)
kernel->width = kernel->height = 3; /* default radius = 1 */
else
kernel->width = kernel->height = ((size_t)args->rho)*2+1;
kernel->x = kernel->y = (ssize_t) (kernel->width-1)/2;
kernel->values=(MagickRealType *) MagickAssumeAligned(
AcquireAlignedMemory(kernel->width,kernel->height*
sizeof(*kernel->values)));
if (kernel->values == (MagickRealType *) NULL)
return(DestroyKernelInfo(kernel));
for ( i=0, v=-kernel->y; v <= (ssize_t)kernel->y; v++)
for ( u=-kernel->x; u <= (ssize_t)kernel->x; u++, i++)
kernel->positive_range += ( kernel->values[i] =
args->sigma*(labs((long) u)+labs((long) v)) );
kernel->maximum = kernel->values[0];
break;
}
case OctagonalKernel:
{
if (args->rho < 2.0)
kernel->width = kernel->height = 5; /* default/minimum radius = 2 */
else
kernel->width = kernel->height = ((size_t)args->rho)*2+1;
kernel->x = kernel->y = (ssize_t) (kernel->width-1)/2;
kernel->values=(MagickRealType *) MagickAssumeAligned(
AcquireAlignedMemory(kernel->width,kernel->height*
sizeof(*kernel->values)));
if (kernel->values == (MagickRealType *) NULL)
return(DestroyKernelInfo(kernel));
for ( i=0, v=-kernel->y; v <= (ssize_t)kernel->y; v++)
for ( u=-kernel->x; u <= (ssize_t)kernel->x; u++, i++)
{
double
r1 = MagickMax(fabs((double)u),fabs((double)v)),
r2 = floor((double)(labs((long)u)+labs((long)v)+1)/1.5);
kernel->positive_range += kernel->values[i] =
args->sigma*MagickMax(r1,r2);
}
kernel->maximum = kernel->values[0];
break;
}
case EuclideanKernel:
{
if (args->rho < 1.0)
kernel->width = kernel->height = 3; /* default radius = 1 */
else
kernel->width = kernel->height = ((size_t)args->rho)*2+1;
kernel->x = kernel->y = (ssize_t) (kernel->width-1)/2;
kernel->values=(MagickRealType *) MagickAssumeAligned(
AcquireAlignedMemory(kernel->width,kernel->height*
sizeof(*kernel->values)));
if (kernel->values == (MagickRealType *) NULL)
return(DestroyKernelInfo(kernel));
for ( i=0, v=-kernel->y; v <= (ssize_t)kernel->y; v++)
for ( u=-kernel->x; u <= (ssize_t)kernel->x; u++, i++)
kernel->positive_range += ( kernel->values[i] =
args->sigma*sqrt((double)(u*u+v*v)) );
kernel->maximum = kernel->values[0];
break;
}
default:
{
/* No-Op Kernel - Basically just a single pixel on its own */
kernel=ParseKernelArray("1:1");
if (kernel == (KernelInfo *) NULL)
return(kernel);
kernel->type = UndefinedKernel;
break;
}
break;
}
return(kernel);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C l o n e K e r n e l I n f o %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% CloneKernelInfo() creates a new clone of the given Kernel List so that its
% can be modified without effecting the original. The cloned kernel should
% be destroyed using DestoryKernelInfo() when no longer needed.
%
% The format of the CloneKernelInfo method is:
%
% KernelInfo *CloneKernelInfo(const KernelInfo *kernel)
%
% A description of each parameter follows:
%
% o kernel: the Morphology/Convolution kernel to be cloned
%
*/
MagickExport KernelInfo *CloneKernelInfo(const KernelInfo *kernel)
{
register ssize_t
i;
KernelInfo
*new_kernel;
assert(kernel != (KernelInfo *) NULL);
new_kernel=(KernelInfo *) AcquireMagickMemory(sizeof(*kernel));
if (new_kernel == (KernelInfo *) NULL)
return(new_kernel);
*new_kernel=(*kernel); /* copy values in structure */
/* replace the values with a copy of the values */
new_kernel->values=(MagickRealType *) MagickAssumeAligned(
AcquireAlignedMemory(kernel->width,kernel->height*sizeof(*kernel->values)));
if (new_kernel->values == (MagickRealType *) NULL)
return(DestroyKernelInfo(new_kernel));
for (i=0; i < (ssize_t) (kernel->width*kernel->height); i++)
new_kernel->values[i]=kernel->values[i];
/* Also clone the next kernel in the kernel list */
if ( kernel->next != (KernelInfo *) NULL ) {
new_kernel->next = CloneKernelInfo(kernel->next);
if ( new_kernel->next == (KernelInfo *) NULL )
return(DestroyKernelInfo(new_kernel));
}
return(new_kernel);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% D e s t r o y K e r n e l I n f o %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% DestroyKernelInfo() frees the memory used by a Convolution/Morphology
% kernel.
%
% The format of the DestroyKernelInfo method is:
%
% KernelInfo *DestroyKernelInfo(KernelInfo *kernel)
%
% A description of each parameter follows:
%
% o kernel: the Morphology/Convolution kernel to be destroyed
%
*/
MagickExport KernelInfo *DestroyKernelInfo(KernelInfo *kernel)
{
assert(kernel != (KernelInfo *) NULL);
if (kernel->next != (KernelInfo *) NULL)
kernel->next=DestroyKernelInfo(kernel->next);
kernel->values=(MagickRealType *) RelinquishAlignedMemory(kernel->values);
kernel=(KernelInfo *) RelinquishMagickMemory(kernel);
return(kernel);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ E x p a n d M i r r o r K e r n e l I n f o %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ExpandMirrorKernelInfo() takes a single kernel, and expands it into a
% sequence of 90-degree rotated kernels but providing a reflected 180
% rotatation, before the -/+ 90-degree rotations.
%
% This special rotation order produces a better, more symetrical thinning of
% objects.
%
% The format of the ExpandMirrorKernelInfo method is:
%
% void ExpandMirrorKernelInfo(KernelInfo *kernel)
%
% A description of each parameter follows:
%
% o kernel: the Morphology/Convolution kernel
%
% This function is only internel to this module, as it is not finalized,
% especially with regard to non-orthogonal angles, and rotation of larger
% 2D kernels.
*/
#if 0
static void FlopKernelInfo(KernelInfo *kernel)
{ /* Do a Flop by reversing each row. */
size_t
y;
register ssize_t
x,r;
register double
*k,t;
for ( y=0, k=kernel->values; y < kernel->height; y++, k+=kernel->width)
for ( x=0, r=kernel->width-1; x<kernel->width/2; x++, r--)
t=k[x], k[x]=k[r], k[r]=t;
kernel->x = kernel->width - kernel->x - 1;
angle = fmod(angle+180.0, 360.0);
}
#endif
static void ExpandMirrorKernelInfo(KernelInfo *kernel)
{
KernelInfo
*clone,
*last;
last = kernel;
clone = CloneKernelInfo(last);
if (clone == (KernelInfo *) NULL)
return;
RotateKernelInfo(clone, 180); /* flip */
LastKernelInfo(last)->next = clone;
last = clone;
clone = CloneKernelInfo(last);
if (clone == (KernelInfo *) NULL)
return;
RotateKernelInfo(clone, 90); /* transpose */
LastKernelInfo(last)->next = clone;
last = clone;
clone = CloneKernelInfo(last);
if (clone == (KernelInfo *) NULL)
return;
RotateKernelInfo(clone, 180); /* flop */
LastKernelInfo(last)->next = clone;
return;
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ E x p a n d R o t a t e K e r n e l I n f o %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ExpandRotateKernelInfo() takes a kernel list, and expands it by rotating
% incrementally by the angle given, until the kernel repeats.
%
% WARNING: 45 degree rotations only works for 3x3 kernels.
% While 90 degree roatations only works for linear and square kernels
%
% The format of the ExpandRotateKernelInfo method is:
%
% void ExpandRotateKernelInfo(KernelInfo *kernel, double angle)
%
% A description of each parameter follows:
%
% o kernel: the Morphology/Convolution kernel
%
% o angle: angle to rotate in degrees
%
% This function is only internel to this module, as it is not finalized,
% especially with regard to non-orthogonal angles, and rotation of larger
% 2D kernels.
*/
/* Internal Routine - Return true if two kernels are the same */
static MagickBooleanType SameKernelInfo(const KernelInfo *kernel1,
const KernelInfo *kernel2)
{
register size_t
i;
/* check size and origin location */
if ( kernel1->width != kernel2->width
|| kernel1->height != kernel2->height
|| kernel1->x != kernel2->x
|| kernel1->y != kernel2->y )
return MagickFalse;
/* check actual kernel values */
for (i=0; i < (kernel1->width*kernel1->height); i++) {
/* Test for Nan equivalence */
if ( IsNaN(kernel1->values[i]) && !IsNaN(kernel2->values[i]) )
return MagickFalse;
if ( IsNaN(kernel2->values[i]) && !IsNaN(kernel1->values[i]) )
return MagickFalse;
/* Test actual values are equivalent */
if ( fabs(kernel1->values[i] - kernel2->values[i]) >= MagickEpsilon )
return MagickFalse;
}
return MagickTrue;
}
static void ExpandRotateKernelInfo(KernelInfo *kernel, const double angle)
{
KernelInfo
*clone_info,
*last;
last=kernel;
DisableMSCWarning(4127)
while (1) {
RestoreMSCWarning
clone_info=CloneKernelInfo(last);
if (clone_info == (KernelInfo *) NULL)
break;
RotateKernelInfo(clone_info,angle);
if (SameKernelInfo(kernel,clone_info) != MagickFalse)
break;
LastKernelInfo(last)->next=clone_info;
last=clone_info;
}
if (clone_info != (KernelInfo *) NULL)
clone_info=DestroyKernelInfo(clone_info); /* kernel repeated - junk */
return;
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ C a l c M e t a K e r n a l I n f o %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% CalcKernelMetaData() recalculate the KernelInfo meta-data of this kernel only,
% using the kernel values. This should only ne used if it is not possible to
% calculate that meta-data in some easier way.
%
% It is important that the meta-data is correct before ScaleKernelInfo() is
% used to perform kernel normalization.
%
% The format of the CalcKernelMetaData method is:
%
% void CalcKernelMetaData(KernelInfo *kernel, const double scale )
%
% A description of each parameter follows:
%
% o kernel: the Morphology/Convolution kernel to modify
%
% WARNING: Minimum and Maximum values are assumed to include zero, even if
% zero is not part of the kernel (as in Gaussian Derived kernels). This
% however is not true for flat-shaped morphological kernels.
%
% WARNING: Only the specific kernel pointed to is modified, not a list of
% multiple kernels.
%
% This is an internal function and not expected to be useful outside this
% module. This could change however.
*/
static void CalcKernelMetaData(KernelInfo *kernel)
{
register size_t
i;
kernel->minimum = kernel->maximum = 0.0;
kernel->negative_range = kernel->positive_range = 0.0;
for (i=0; i < (kernel->width*kernel->height); i++)
{
if ( fabs(kernel->values[i]) < MagickEpsilon )
kernel->values[i] = 0.0;
( kernel->values[i] < 0)
? ( kernel->negative_range += kernel->values[i] )
: ( kernel->positive_range += kernel->values[i] );
Minimize(kernel->minimum, kernel->values[i]);
Maximize(kernel->maximum, kernel->values[i]);
}
return;
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% M o r p h o l o g y A p p l y %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% MorphologyApply() applies a morphological method, multiple times using
% a list of multiple kernels. This is the method that should be called by
% other 'operators' that internally use morphology operations as part of
% their processing.
%
% It is basically equivalent to as MorphologyImage() (see below) but without
% any user controls. This allows internel programs to use this method to
% perform a specific task without possible interference by any API user
% supplied settings.
%
% It is MorphologyImage() task to extract any such user controls, and
% pass them to this function for processing.
%
% More specifically all given kernels should already be scaled, normalised,
% and blended appropriatally before being parred to this routine. The
% appropriate bias, and compose (typically 'UndefinedComposeOp') given.
%
% The format of the MorphologyApply method is:
%
% Image *MorphologyApply(const Image *image,MorphologyMethod method,
% const ssize_t iterations,const KernelInfo *kernel,
% const CompositeMethod compose,const double bias,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the source image
%
% o method: the morphology method to be applied.
%
% o iterations: apply the operation this many times (or no change).
% A value of -1 means loop until no change found.
% How this is applied may depend on the morphology method.
% Typically this is a value of 1.
%
% o channel: the channel type.
%
% o kernel: An array of double representing the morphology kernel.
%
% o compose: How to handle or merge multi-kernel results.
% If 'UndefinedCompositeOp' use default for the Morphology method.
% If 'NoCompositeOp' force image to be re-iterated by each kernel.
% Otherwise merge the results using the compose method given.
%
% o bias: Convolution Output Bias.
%
% o exception: return any errors or warnings in this structure.
%
*/
static ssize_t MorphologyPrimitive(const Image *image,Image *morphology_image,
const MorphologyMethod method,const KernelInfo *kernel,const double bias,
ExceptionInfo *exception)
{
#define MorphologyTag "Morphology/Image"
CacheView
*image_view,
*morphology_view;
OffsetInfo
offset;
register ssize_t
j,
y;
size_t
*changes,
changed,
width;
MagickBooleanType
status;
MagickOffsetType
progress;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(morphology_image != (Image *) NULL);
assert(morphology_image->signature == MagickCoreSignature);
assert(kernel != (KernelInfo *) NULL);
assert(kernel->signature == MagickCoreSignature);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
status=MagickTrue;
progress=0;
image_view=AcquireVirtualCacheView(image,exception);
morphology_view=AcquireAuthenticCacheView(morphology_image,exception);
width=image->columns+kernel->width-1;
offset.x=0;
offset.y=0;
switch (method)
{
case ConvolveMorphology:
case DilateMorphology:
case DilateIntensityMorphology:
case IterativeDistanceMorphology:
{
/*
Kernel needs to used with reflection about origin.
*/
offset.x=(ssize_t) kernel->width-kernel->x-1;
offset.y=(ssize_t) kernel->height-kernel->y-1;
break;
}
case ErodeMorphology:
case ErodeIntensityMorphology:
case HitAndMissMorphology:
case ThinningMorphology:
case ThickenMorphology:
{
offset.x=kernel->x;
offset.y=kernel->y;
break;
}
default:
{
assert("Not a Primitive Morphology Method" != (char *) NULL);
break;
}
}
changed=0;
changes=(size_t *) AcquireQuantumMemory(GetOpenMPMaximumThreads(),
sizeof(*changes));
if (changes == (size_t *) NULL)
ThrowFatalException(ResourceLimitFatalError,"MemoryAllocationFailed");
for (j=0; j < (ssize_t) GetOpenMPMaximumThreads(); j++)
changes[j]=0;
if ((method == ConvolveMorphology) && (kernel->width == 1))
{
register ssize_t
x;
/*
Special handling (for speed) of vertical (blur) kernels. This performs
its handling in columns rather than in rows. This is only done
for convolve as it is the only method that generates very large 1-D
vertical kernels (such as a 'BlurKernel')
*/
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,morphology_image,image->columns,1)
#endif
for (x=0; x < (ssize_t) image->columns; x++)
{
const int
id = GetOpenMPThreadId();
register const Quantum
*magick_restrict p;
register Quantum
*magick_restrict q;
register ssize_t
r;
ssize_t
center;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,x,-offset.y,1,image->rows+
kernel->height-1,exception);
q=GetCacheViewAuthenticPixels(morphology_view,x,0,1,
morphology_image->rows,exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
center=(ssize_t) GetPixelChannels(image)*offset.y;
for (r=0; r < (ssize_t) image->rows; r++)
{
register ssize_t
i;
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
double
alpha,
gamma,
pixel;
PixelChannel
channel;
PixelTrait
morphology_traits,
traits;
register const MagickRealType
*magick_restrict k;
register const Quantum
*magick_restrict pixels;
register ssize_t
v;
size_t
count;
channel=GetPixelChannelChannel(image,i);
traits=GetPixelChannelTraits(image,channel);
morphology_traits=GetPixelChannelTraits(morphology_image,channel);
if ((traits == UndefinedPixelTrait) ||
(morphology_traits == UndefinedPixelTrait))
continue;
if ((traits & CopyPixelTrait) != 0)
{
SetPixelChannel(morphology_image,channel,p[center+i],q);
continue;
}
k=(&kernel->values[kernel->height-1]);
pixels=p;
pixel=bias;
gamma=0.0;
count=0;
if ((morphology_traits & BlendPixelTrait) == 0)
for (v=0; v < (ssize_t) kernel->height; v++)
{
if (!IsNaN(*k))
{
pixel+=(*k)*pixels[i];
gamma+=(*k);
count++;
}
k--;
pixels+=GetPixelChannels(image);
}
else
for (v=0; v < (ssize_t) kernel->height; v++)
{
if (!IsNaN(*k))
{
alpha=(double) (QuantumScale*GetPixelAlpha(image,pixels));
pixel+=alpha*(*k)*pixels[i];
gamma+=alpha*(*k);
count++;
}
k--;
pixels+=GetPixelChannels(image);
}
if (fabs(pixel-p[center+i]) > MagickEpsilon)
changes[id]++;
gamma=PerceptibleReciprocal(gamma);
if (count != 0)
gamma*=(double) kernel->height/count;
SetPixelChannel(morphology_image,channel,ClampToQuantum(gamma*
pixel),q);
}
p+=GetPixelChannels(image);
q+=GetPixelChannels(morphology_image);
}
if (SyncCacheViewAuthenticPixels(morphology_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,MorphologyTag,progress,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
morphology_image->type=image->type;
morphology_view=DestroyCacheView(morphology_view);
image_view=DestroyCacheView(image_view);
for (j=0; j < (ssize_t) GetOpenMPMaximumThreads(); j++)
changed+=changes[j];
changes=(size_t *) RelinquishMagickMemory(changes);
return(status ? (ssize_t) changed : 0);
}
/*
Normal handling of horizontal or rectangular kernels (row by row).
*/
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,morphology_image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
const int
id = GetOpenMPThreadId();
register const Quantum
*magick_restrict p;
register Quantum
*magick_restrict q;
register ssize_t
x;
ssize_t
center;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,-offset.x,y-offset.y,width,
kernel->height,exception);
q=GetCacheViewAuthenticPixels(morphology_view,0,y,morphology_image->columns,
1,exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
center=(ssize_t) (GetPixelChannels(image)*width*offset.y+
GetPixelChannels(image)*offset.x);
for (x=0; x < (ssize_t) image->columns; x++)
{
register ssize_t
i;
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
double
alpha,
gamma,
intensity,
maximum,
minimum,
pixel;
PixelChannel
channel;
PixelTrait
morphology_traits,
traits;
register const MagickRealType
*magick_restrict k;
register const Quantum
*magick_restrict pixels;
register ssize_t
u;
size_t
count;
ssize_t
v;
channel=GetPixelChannelChannel(image,i);
traits=GetPixelChannelTraits(image,channel);
morphology_traits=GetPixelChannelTraits(morphology_image,channel);
if ((traits == UndefinedPixelTrait) ||
(morphology_traits == UndefinedPixelTrait))
continue;
if ((traits & CopyPixelTrait) != 0)
{
SetPixelChannel(morphology_image,channel,p[center+i],q);
continue;
}
pixels=p;
maximum=0.0;
minimum=(double) QuantumRange;
switch (method)
{
case ConvolveMorphology:
{
pixel=bias;
break;
}
case DilateMorphology:
case ErodeIntensityMorphology:
{
pixel=0.0;
break;
}
case HitAndMissMorphology:
case ErodeMorphology:
{
pixel=QuantumRange;
break;
}
default:
{
pixel=(double) p[center+i];
break;
}
}
count=0;
gamma=1.0;
switch (method)
{
case ConvolveMorphology:
{
/*
Weighted Average of pixels using reflected kernel
For correct working of this operation for asymetrical kernels,
the kernel needs to be applied in its reflected form. That is
its values needs to be reversed.
Correlation is actually the same as this but without reflecting
the kernel, and thus 'lower-level' that Convolution. However as
Convolution is the more common method used, and it does not
really cost us much in terms of processing to use a reflected
kernel, so it is Convolution that is implemented.
Correlation will have its kernel reflected before calling this
function to do a Convolve.
For more details of Correlation vs Convolution see
http://www.cs.umd.edu/~djacobs/CMSC426/Convolution.pdf
*/
k=(&kernel->values[kernel->width*kernel->height-1]);
if ((morphology_traits & BlendPixelTrait) == 0)
{
/*
No alpha blending.
*/
for (v=0; v < (ssize_t) kernel->height; v++)
{
for (u=0; u < (ssize_t) kernel->width; u++)
{
if (!IsNaN(*k))
{
pixel+=(*k)*pixels[i];
count++;
}
k--;
pixels+=GetPixelChannels(image);
}
pixels+=(image->columns-1)*GetPixelChannels(image);
}
break;
}
/*
Alpha blending.
*/
gamma=0.0;
for (v=0; v < (ssize_t) kernel->height; v++)
{
for (u=0; u < (ssize_t) kernel->width; u++)
{
if (!IsNaN(*k))
{
alpha=(double) (QuantumScale*GetPixelAlpha(image,pixels));
pixel+=alpha*(*k)*pixels[i];
gamma+=alpha*(*k);
count++;
}
k--;
pixels+=GetPixelChannels(image);
}
pixels+=(image->columns-1)*GetPixelChannels(image);
}
break;
}
case ErodeMorphology:
{
/*
Minimum value within kernel neighbourhood.
The kernel is not reflected for this operation. In normal
Greyscale Morphology, the kernel value should be added
to the real value, this is currently not done, due to the
nature of the boolean kernels being used.
*/
k=kernel->values;
for (v=0; v < (ssize_t) kernel->height; v++)
{
for (u=0; u < (ssize_t) kernel->width; u++)
{
if (!IsNaN(*k) && (*k >= 0.5))
{
if ((double) pixels[i] < pixel)
pixel=(double) pixels[i];
}
k++;
pixels+=GetPixelChannels(image);
}
pixels+=(image->columns-1)*GetPixelChannels(image);
}
break;
}
case DilateMorphology:
{
/*
Maximum value within kernel neighbourhood.
For correct working of this operation for asymetrical kernels,
the kernel needs to be applied in its reflected form. That is
its values needs to be reversed.
In normal Greyscale Morphology, the kernel value should be
added to the real value, this is currently not done, due to the
nature of the boolean kernels being used.
*/
k=(&kernel->values[kernel->width*kernel->height-1]);
for (v=0; v < (ssize_t) kernel->height; v++)
{
for (u=0; u < (ssize_t) kernel->width; u++)
{
if (!IsNaN(*k) && (*k > 0.5))
{
if ((double) pixels[i] > pixel)
pixel=(double) pixels[i];
}
k--;
pixels+=GetPixelChannels(image);
}
pixels+=(image->columns-1)*GetPixelChannels(image);
}
break;
}
case HitAndMissMorphology:
case ThinningMorphology:
case ThickenMorphology:
{
/*
Minimum of foreground pixel minus maxumum of background pixels.
The kernel is not reflected for this operation, and consists
of both foreground and background pixel neighbourhoods, 0.0 for
background, and 1.0 for foreground with either Nan or 0.5 values
for don't care.
This never produces a meaningless negative result. Such results
cause Thinning/Thicken to not work correctly when used against a
greyscale image.
*/
k=kernel->values;
for (v=0; v < (ssize_t) kernel->height; v++)
{
for (u=0; u < (ssize_t) kernel->width; u++)
{
if (!IsNaN(*k))
{
if (*k > 0.7)
{
if ((double) pixels[i] < pixel)
pixel=(double) pixels[i];
}
else
if (*k < 0.3)
{
if ((double) pixels[i] > maximum)
maximum=(double) pixels[i];
}
count++;
}
k++;
pixels+=GetPixelChannels(image);
}
pixels+=(image->columns-1)*GetPixelChannels(image);
}
pixel-=maximum;
if (pixel < 0.0)
pixel=0.0;
if (method == ThinningMorphology)
pixel=(double) p[center+i]-pixel;
else
if (method == ThickenMorphology)
pixel+=(double) p[center+i]+pixel;
break;
}
case ErodeIntensityMorphology:
{
/*
Select pixel with minimum intensity within kernel neighbourhood.
The kernel is not reflected for this operation.
*/
k=kernel->values;
for (v=0; v < (ssize_t) kernel->height; v++)
{
for (u=0; u < (ssize_t) kernel->width; u++)
{
if (!IsNaN(*k) && (*k >= 0.5))
{
intensity=(double) GetPixelIntensity(image,pixels);
if (intensity < minimum)
{
pixel=(double) pixels[i];
minimum=intensity;
}
count++;
}
k++;
pixels+=GetPixelChannels(image);
}
pixels+=(image->columns-1)*GetPixelChannels(image);
}
break;
}
case DilateIntensityMorphology:
{
/*
Select pixel with maximum intensity within kernel neighbourhood.
The kernel is not reflected for this operation.
*/
k=(&kernel->values[kernel->width*kernel->height-1]);
for (v=0; v < (ssize_t) kernel->height; v++)
{
for (u=0; u < (ssize_t) kernel->width; u++)
{
if (!IsNaN(*k) && (*k >= 0.5))
{
intensity=(double) GetPixelIntensity(image,pixels);
if (intensity > maximum)
{
pixel=(double) pixels[i];
maximum=intensity;
}
count++;
}
k--;
pixels+=GetPixelChannels(image);
}
pixels+=(image->columns-1)*GetPixelChannels(image);
}
break;
}
case IterativeDistanceMorphology:
{
/*
Compute th iterative distance from black edge of a white image
shape. Essentually white values are decreased to the smallest
'distance from edge' it can find.
It works by adding kernel values to the neighbourhood, and and
select the minimum value found. The kernel is rotated before
use, so kernel distances match resulting distances, when a user
provided asymmetric kernel is applied.
This code is nearly identical to True GrayScale Morphology but
not quite.
GreyDilate Kernel values added, maximum value found Kernel is
rotated before use.
GrayErode: Kernel values subtracted and minimum value found No
kernel rotation used.
Note the the Iterative Distance method is essentially a
GrayErode, but with negative kernel values, and kernel rotation
applied.
*/
k=(&kernel->values[kernel->width*kernel->height-1]);
for (v=0; v < (ssize_t) kernel->height; v++)
{
for (u=0; u < (ssize_t) kernel->width; u++)
{
if (!IsNaN(*k))
{
if ((pixels[i]+(*k)) < pixel)
pixel=(double) pixels[i]+(*k);
count++;
}
k--;
pixels+=GetPixelChannels(image);
}
pixels+=(image->columns-1)*GetPixelChannels(image);
}
break;
}
case UndefinedMorphology:
default:
break;
}
if (fabs(pixel-p[center+i]) > MagickEpsilon)
changes[id]++;
gamma=PerceptibleReciprocal(gamma);
if (count != 0)
gamma*=(double) kernel->height*kernel->width/count;
SetPixelChannel(morphology_image,channel,ClampToQuantum(gamma*pixel),q);
}
p+=GetPixelChannels(image);
q+=GetPixelChannels(morphology_image);
}
if (SyncCacheViewAuthenticPixels(morphology_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,MorphologyTag,progress,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
morphology_view=DestroyCacheView(morphology_view);
image_view=DestroyCacheView(image_view);
for (j=0; j < (ssize_t) GetOpenMPMaximumThreads(); j++)
changed+=changes[j];
changes=(size_t *) RelinquishMagickMemory(changes);
return(status ? (ssize_t) changed : -1);
}
/*
This is almost identical to the MorphologyPrimative() function above, but
applies the primitive directly to the actual image using two passes, once in
each direction, with the results of the previous (and current) row being
re-used.
That is after each row is 'Sync'ed' into the image, the next row makes use of
those values as part of the calculation of the next row. It repeats, but
going in the oppisite (bottom-up) direction.
Because of this 're-use of results' this function can not make use of multi-
threaded, parellel processing.
*/
static ssize_t MorphologyPrimitiveDirect(Image *image,
const MorphologyMethod method,const KernelInfo *kernel,
ExceptionInfo *exception)
{
CacheView
*morphology_view,
*image_view;
MagickBooleanType
status;
MagickOffsetType
progress;
OffsetInfo
offset;
size_t
width,
changed;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(kernel != (KernelInfo *) NULL);
assert(kernel->signature == MagickCoreSignature);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
status=MagickTrue;
changed=0;
progress=0;
switch(method)
{
case DistanceMorphology:
case VoronoiMorphology:
{
/*
Kernel reflected about origin.
*/
offset.x=(ssize_t) kernel->width-kernel->x-1;
offset.y=(ssize_t) kernel->height-kernel->y-1;
break;
}
default:
{
offset.x=kernel->x;
offset.y=kernel->y;
break;
}
}
/*
Two views into same image, do not thread.
*/
image_view=AcquireVirtualCacheView(image,exception);
morphology_view=AcquireAuthenticCacheView(image,exception);
width=image->columns+kernel->width-1;
for (y=0; y < (ssize_t) image->rows; y++)
{
register const Quantum
*magick_restrict p;
register Quantum
*magick_restrict q;
register ssize_t
x;
/*
Read virtual pixels, and authentic pixels, from the same image! We read
using virtual to get virtual pixel handling, but write back into the same
image.
Only top half of kernel is processed as we do a single pass downward
through the image iterating the distance function as we go.
*/
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,-offset.x,y-offset.y,width,(size_t)
offset.y+1,exception);
q=GetCacheViewAuthenticPixels(morphology_view,0,y,image->columns,1,
exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
register ssize_t
i;
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
double
pixel;
PixelChannel
channel;
PixelTrait
traits;
register const MagickRealType
*magick_restrict k;
register const Quantum
*magick_restrict pixels;
register ssize_t
u;
ssize_t
v;
channel=GetPixelChannelChannel(image,i);
traits=GetPixelChannelTraits(image,channel);
if (traits == UndefinedPixelTrait)
continue;
if ((traits & CopyPixelTrait) != 0)
continue;
pixels=p;
pixel=(double) QuantumRange;
switch (method)
{
case DistanceMorphology:
{
k=(&kernel->values[kernel->width*kernel->height-1]);
for (v=0; v <= offset.y; v++)
{
for (u=0; u < (ssize_t) kernel->width; u++)
{
if (!IsNaN(*k))
{
if ((pixels[i]+(*k)) < pixel)
pixel=(double) pixels[i]+(*k);
}
k--;
pixels+=GetPixelChannels(image);
}
pixels+=(image->columns-1)*GetPixelChannels(image);
}
k=(&kernel->values[kernel->width*(kernel->y+1)-1]);
pixels=q-offset.x*GetPixelChannels(image);
for (u=0; u < offset.x; u++)
{
if (!IsNaN(*k) && ((x+u-offset.x) >= 0))
{
if ((pixels[i]+(*k)) < pixel)
pixel=(double) pixels[i]+(*k);
}
k--;
pixels+=GetPixelChannels(image);
}
break;
}
case VoronoiMorphology:
{
k=(&kernel->values[kernel->width*kernel->height-1]);
for (v=0; v < offset.y; v++)
{
for (u=0; u < (ssize_t) kernel->width; u++)
{
if (!IsNaN(*k))
{
if ((pixels[i]+(*k)) < pixel)
pixel=(double) pixels[i]+(*k);
}
k--;
pixels+=GetPixelChannels(image);
}
pixels+=(image->columns-1)*GetPixelChannels(image);
}
k=(&kernel->values[kernel->width*(kernel->y+1)-1]);
pixels=q-offset.x*GetPixelChannels(image);
for (u=0; u < offset.x; u++)
{
if (!IsNaN(*k) && ((x+u-offset.x) >= 0))
{
if ((pixels[i]+(*k)) < pixel)
pixel=(double) pixels[i]+(*k);
}
k--;
pixels+=GetPixelChannels(image);
}
break;
}
default:
break;
}
if (fabs(pixel-q[i]) > MagickEpsilon)
changed++;
q[i]=ClampToQuantum(pixel);
}
p+=GetPixelChannels(image);
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(morphology_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,MorphologyTag,progress,2*image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
morphology_view=DestroyCacheView(morphology_view);
image_view=DestroyCacheView(image_view);
/*
Do the reverse pass through the image.
*/
image_view=AcquireVirtualCacheView(image,exception);
morphology_view=AcquireAuthenticCacheView(image,exception);
for (y=(ssize_t) image->rows-1; y >= 0; y--)
{
register const Quantum
*magick_restrict p;
register Quantum
*magick_restrict q;
register ssize_t
x;
/*
Read virtual pixels, and authentic pixels, from the same image. We
read using virtual to get virtual pixel handling, but write back
into the same image.
Only the bottom half of the kernel is processed as we up the image.
*/
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,-offset.x,y,width,(size_t)
kernel->y+1,exception);
q=GetCacheViewAuthenticPixels(morphology_view,0,y,image->columns,1,
exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
p+=(image->columns-1)*GetPixelChannels(image);
q+=(image->columns-1)*GetPixelChannels(image);
for (x=(ssize_t) image->columns-1; x >= 0; x--)
{
register ssize_t
i;
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
double
pixel;
PixelChannel
channel;
PixelTrait
traits;
register const MagickRealType
*magick_restrict k;
register const Quantum
*magick_restrict pixels;
register ssize_t
u;
ssize_t
v;
channel=GetPixelChannelChannel(image,i);
traits=GetPixelChannelTraits(image,channel);
if (traits == UndefinedPixelTrait)
continue;
if ((traits & CopyPixelTrait) != 0)
continue;
pixels=p;
pixel=(double) QuantumRange;
switch (method)
{
case DistanceMorphology:
{
k=(&kernel->values[kernel->width*(kernel->y+1)-1]);
for (v=offset.y; v < (ssize_t) kernel->height; v++)
{
for (u=0; u < (ssize_t) kernel->width; u++)
{
if (!IsNaN(*k))
{
if ((pixels[i]+(*k)) < pixel)
pixel=(double) pixels[i]+(*k);
}
k--;
pixels+=GetPixelChannels(image);
}
pixels+=(image->columns-1)*GetPixelChannels(image);
}
k=(&kernel->values[kernel->width*kernel->y+kernel->x-1]);
pixels=q;
for (u=offset.x+1; u < (ssize_t) kernel->width; u++)
{
pixels+=GetPixelChannels(image);
if (!IsNaN(*k) && ((x+u-offset.x) < (ssize_t) image->columns))
{
if ((pixels[i]+(*k)) < pixel)
pixel=(double) pixels[i]+(*k);
}
k--;
}
break;
}
case VoronoiMorphology:
{
k=(&kernel->values[kernel->width*(kernel->y+1)-1]);
for (v=offset.y; v < (ssize_t) kernel->height; v++)
{
for (u=0; u < (ssize_t) kernel->width; u++)
{
if (!IsNaN(*k))
{
if ((pixels[i]+(*k)) < pixel)
pixel=(double) pixels[i]+(*k);
}
k--;
pixels+=GetPixelChannels(image);
}
pixels+=(image->columns-1)*GetPixelChannels(image);
}
k=(&kernel->values[kernel->width*(kernel->y+1)-1]);
pixels=q;
for (u=offset.x+1; u < (ssize_t) kernel->width; u++)
{
pixels+=GetPixelChannels(image);
if (!IsNaN(*k) && ((x+u-offset.x) < (ssize_t) image->columns))
{
if ((pixels[i]+(*k)) < pixel)
pixel=(double) pixels[i]+(*k);
}
k--;
}
break;
}
default:
break;
}
if (fabs(pixel-q[i]) > MagickEpsilon)
changed++;
q[i]=ClampToQuantum(pixel);
}
p-=GetPixelChannels(image);
q-=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(morphology_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,MorphologyTag,progress,2*image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
morphology_view=DestroyCacheView(morphology_view);
image_view=DestroyCacheView(image_view);
return(status ? (ssize_t) changed : -1);
}
/*
Apply a Morphology by calling one of the above low level primitive
application functions. This function handles any iteration loops,
composition or re-iteration of results, and compound morphology methods that
is based on multiple low-level (staged) morphology methods.
Basically this provides the complex glue between the requested morphology
method and raw low-level implementation (above).
*/
MagickPrivate Image *MorphologyApply(const Image *image,
const MorphologyMethod method, const ssize_t iterations,
const KernelInfo *kernel, const CompositeOperator compose,const double bias,
ExceptionInfo *exception)
{
CompositeOperator
curr_compose;
Image
*curr_image, /* Image we are working with or iterating */
*work_image, /* secondary image for primitive iteration */
*save_image, /* saved image - for 'edge' method only */
*rslt_image; /* resultant image - after multi-kernel handling */
KernelInfo
*reflected_kernel, /* A reflected copy of the kernel (if needed) */
*norm_kernel, /* the current normal un-reflected kernel */
*rflt_kernel, /* the current reflected kernel (if needed) */
*this_kernel; /* the kernel being applied */
MorphologyMethod
primitive; /* the current morphology primitive being applied */
CompositeOperator
rslt_compose; /* multi-kernel compose method for results to use */
MagickBooleanType
special, /* do we use a direct modify function? */
verbose; /* verbose output of results */
size_t
method_loop, /* Loop 1: number of compound method iterations (norm 1) */
method_limit, /* maximum number of compound method iterations */
kernel_number, /* Loop 2: the kernel number being applied */
stage_loop, /* Loop 3: primitive loop for compound morphology */
stage_limit, /* how many primitives are in this compound */
kernel_loop, /* Loop 4: iterate the kernel over image */
kernel_limit, /* number of times to iterate kernel */
count, /* total count of primitive steps applied */
kernel_changed, /* total count of changed using iterated kernel */
method_changed; /* total count of changed over method iteration */
ssize_t
changed; /* number pixels changed by last primitive operation */
char
v_info[MagickPathExtent];
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(kernel != (KernelInfo *) NULL);
assert(kernel->signature == MagickCoreSignature);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
count = 0; /* number of low-level morphology primitives performed */
if ( iterations == 0 )
return((Image *) NULL); /* null operation - nothing to do! */
kernel_limit = (size_t) iterations;
if ( iterations < 0 ) /* negative interations = infinite (well alomst) */
kernel_limit = image->columns>image->rows ? image->columns : image->rows;
verbose = IsStringTrue(GetImageArtifact(image,"debug"));
/* initialise for cleanup */
curr_image = (Image *) image;
curr_compose = image->compose;
(void) curr_compose;
work_image = save_image = rslt_image = (Image *) NULL;
reflected_kernel = (KernelInfo *) NULL;
/* Initialize specific methods
* + which loop should use the given iteratations
* + how many primitives make up the compound morphology
* + multi-kernel compose method to use (by default)
*/
method_limit = 1; /* just do method once, unless otherwise set */
stage_limit = 1; /* assume method is not a compound */
special = MagickFalse; /* assume it is NOT a direct modify primitive */
rslt_compose = compose; /* and we are composing multi-kernels as given */
switch( method ) {
case SmoothMorphology: /* 4 primitive compound morphology */
stage_limit = 4;
break;
case OpenMorphology: /* 2 primitive compound morphology */
case OpenIntensityMorphology:
case TopHatMorphology:
case CloseMorphology:
case CloseIntensityMorphology:
case BottomHatMorphology:
case EdgeMorphology:
stage_limit = 2;
break;
case HitAndMissMorphology:
rslt_compose = LightenCompositeOp; /* Union of multi-kernel results */
/* FALL THUR */
case ThinningMorphology:
case ThickenMorphology:
method_limit = kernel_limit; /* iterate the whole method */
kernel_limit = 1; /* do not do kernel iteration */
break;
case DistanceMorphology:
case VoronoiMorphology:
special = MagickTrue; /* use special direct primative */
break;
default:
break;
}
/* Apply special methods with special requirments
** For example, single run only, or post-processing requirements
*/
if ( special != MagickFalse )
{
rslt_image=CloneImage(image,0,0,MagickTrue,exception);
if (rslt_image == (Image *) NULL)
goto error_cleanup;
if (SetImageStorageClass(rslt_image,DirectClass,exception) == MagickFalse)
goto error_cleanup;
changed=MorphologyPrimitiveDirect(rslt_image,method,kernel,exception);
if (verbose != MagickFalse)
(void) (void) FormatLocaleFile(stderr,
"%s:%.20g.%.20g #%.20g => Changed %.20g\n",
CommandOptionToMnemonic(MagickMorphologyOptions, method),
1.0,0.0,1.0, (double) changed);
if ( changed < 0 )
goto error_cleanup;
if ( method == VoronoiMorphology ) {
/* Preserve the alpha channel of input image - but turned it off */
(void) SetImageAlphaChannel(rslt_image, DeactivateAlphaChannel,
exception);
(void) CompositeImage(rslt_image,image,CopyAlphaCompositeOp,
MagickTrue,0,0,exception);
(void) SetImageAlphaChannel(rslt_image, DeactivateAlphaChannel,
exception);
}
goto exit_cleanup;
}
/* Handle user (caller) specified multi-kernel composition method */
if ( compose != UndefinedCompositeOp )
rslt_compose = compose; /* override default composition for method */
if ( rslt_compose == UndefinedCompositeOp )
rslt_compose = NoCompositeOp; /* still not defined! Then re-iterate */
/* Some methods require a reflected kernel to use with primitives.
* Create the reflected kernel for those methods. */
switch ( method ) {
case CorrelateMorphology:
case CloseMorphology:
case CloseIntensityMorphology:
case BottomHatMorphology:
case SmoothMorphology:
reflected_kernel = CloneKernelInfo(kernel);
if (reflected_kernel == (KernelInfo *) NULL)
goto error_cleanup;
RotateKernelInfo(reflected_kernel,180);
break;
default:
break;
}
/* Loops around more primitive morpholgy methods
** erose, dilate, open, close, smooth, edge, etc...
*/
/* Loop 1: iterate the compound method */
method_loop = 0;
method_changed = 1;
while ( method_loop < method_limit && method_changed > 0 ) {
method_loop++;
method_changed = 0;
/* Loop 2: iterate over each kernel in a multi-kernel list */
norm_kernel = (KernelInfo *) kernel;
this_kernel = (KernelInfo *) kernel;
rflt_kernel = reflected_kernel;
kernel_number = 0;
while ( norm_kernel != NULL ) {
/* Loop 3: Compound Morphology Staging - Select Primative to apply */
stage_loop = 0; /* the compound morphology stage number */
while ( stage_loop < stage_limit ) {
stage_loop++; /* The stage of the compound morphology */
/* Select primitive morphology for this stage of compound method */
this_kernel = norm_kernel; /* default use unreflected kernel */
primitive = method; /* Assume method is a primitive */
switch( method ) {
case ErodeMorphology: /* just erode */
case EdgeInMorphology: /* erode and image difference */
primitive = ErodeMorphology;
break;
case DilateMorphology: /* just dilate */
case EdgeOutMorphology: /* dilate and image difference */
primitive = DilateMorphology;
break;
case OpenMorphology: /* erode then dialate */
case TopHatMorphology: /* open and image difference */
primitive = ErodeMorphology;
if ( stage_loop == 2 )
primitive = DilateMorphology;
break;
case OpenIntensityMorphology:
primitive = ErodeIntensityMorphology;
if ( stage_loop == 2 )
primitive = DilateIntensityMorphology;
break;
case CloseMorphology: /* dilate, then erode */
case BottomHatMorphology: /* close and image difference */
this_kernel = rflt_kernel; /* use the reflected kernel */
primitive = DilateMorphology;
if ( stage_loop == 2 )
primitive = ErodeMorphology;
break;
case CloseIntensityMorphology:
this_kernel = rflt_kernel; /* use the reflected kernel */
primitive = DilateIntensityMorphology;
if ( stage_loop == 2 )
primitive = ErodeIntensityMorphology;
break;
case SmoothMorphology: /* open, close */
switch ( stage_loop ) {
case 1: /* start an open method, which starts with Erode */
primitive = ErodeMorphology;
break;
case 2: /* now Dilate the Erode */
primitive = DilateMorphology;
break;
case 3: /* Reflect kernel a close */
this_kernel = rflt_kernel; /* use the reflected kernel */
primitive = DilateMorphology;
break;
case 4: /* Finish the Close */
this_kernel = rflt_kernel; /* use the reflected kernel */
primitive = ErodeMorphology;
break;
}
break;
case EdgeMorphology: /* dilate and erode difference */
primitive = DilateMorphology;
if ( stage_loop == 2 ) {
save_image = curr_image; /* save the image difference */
curr_image = (Image *) image;
primitive = ErodeMorphology;
}
break;
case CorrelateMorphology:
/* A Correlation is a Convolution with a reflected kernel.
** However a Convolution is a weighted sum using a reflected
** kernel. It may seem stange to convert a Correlation into a
** Convolution as the Correlation is the simplier method, but
** Convolution is much more commonly used, and it makes sense to
** implement it directly so as to avoid the need to duplicate the
** kernel when it is not required (which is typically the
** default).
*/
this_kernel = rflt_kernel; /* use the reflected kernel */
primitive = ConvolveMorphology;
break;
default:
break;
}
assert( this_kernel != (KernelInfo *) NULL );
/* Extra information for debugging compound operations */
if (verbose != MagickFalse) {
if ( stage_limit > 1 )
(void) FormatLocaleString(v_info,MagickPathExtent,"%s:%.20g.%.20g -> ",
CommandOptionToMnemonic(MagickMorphologyOptions,method),(double)
method_loop,(double) stage_loop);
else if ( primitive != method )
(void) FormatLocaleString(v_info, MagickPathExtent, "%s:%.20g -> ",
CommandOptionToMnemonic(MagickMorphologyOptions, method),(double)
method_loop);
else
v_info[0] = '\0';
}
/* Loop 4: Iterate the kernel with primitive */
kernel_loop = 0;
kernel_changed = 0;
changed = 1;
while ( kernel_loop < kernel_limit && changed > 0 ) {
kernel_loop++; /* the iteration of this kernel */
/* Create a clone as the destination image, if not yet defined */
if ( work_image == (Image *) NULL )
{
work_image=CloneImage(image,0,0,MagickTrue,exception);
if (work_image == (Image *) NULL)
goto error_cleanup;
if (SetImageStorageClass(work_image,DirectClass,exception) == MagickFalse)
goto error_cleanup;
}
/* APPLY THE MORPHOLOGICAL PRIMITIVE (curr -> work) */
count++;
changed = MorphologyPrimitive(curr_image, work_image, primitive,
this_kernel, bias, exception);
if (verbose != MagickFalse) {
if ( kernel_loop > 1 )
(void) FormatLocaleFile(stderr, "\n"); /* add end-of-line from previous */
(void) (void) FormatLocaleFile(stderr,
"%s%s%s:%.20g.%.20g #%.20g => Changed %.20g",
v_info,CommandOptionToMnemonic(MagickMorphologyOptions,
primitive),(this_kernel == rflt_kernel ) ? "*" : "",
(double) (method_loop+kernel_loop-1),(double) kernel_number,
(double) count,(double) changed);
}
if ( changed < 0 )
goto error_cleanup;
kernel_changed += changed;
method_changed += changed;
/* prepare next loop */
{ Image *tmp = work_image; /* swap images for iteration */
work_image = curr_image;
curr_image = tmp;
}
if ( work_image == image )
work_image = (Image *) NULL; /* replace input 'image' */
} /* End Loop 4: Iterate the kernel with primitive */
if (verbose != MagickFalse && kernel_changed != (size_t)changed)
(void) FormatLocaleFile(stderr, " Total %.20g",(double) kernel_changed);
if (verbose != MagickFalse && stage_loop < stage_limit)
(void) FormatLocaleFile(stderr, "\n"); /* add end-of-line before looping */
#if 0
(void) FormatLocaleFile(stderr, "--E-- image=0x%lx\n", (unsigned long)image);
(void) FormatLocaleFile(stderr, " curr =0x%lx\n", (unsigned long)curr_image);
(void) FormatLocaleFile(stderr, " work =0x%lx\n", (unsigned long)work_image);
(void) FormatLocaleFile(stderr, " save =0x%lx\n", (unsigned long)save_image);
(void) FormatLocaleFile(stderr, " union=0x%lx\n", (unsigned long)rslt_image);
#endif
} /* End Loop 3: Primative (staging) Loop for Coumpound Methods */
/* Final Post-processing for some Compound Methods
**
** The removal of any 'Sync' channel flag in the Image Compositon
** below ensures the methematical compose method is applied in a
** purely mathematical way, and only to the selected channels.
** Turn off SVG composition 'alpha blending'.
*/
switch( method ) {
case EdgeOutMorphology:
case EdgeInMorphology:
case TopHatMorphology:
case BottomHatMorphology:
if (verbose != MagickFalse)
(void) FormatLocaleFile(stderr,
"\n%s: Difference with original image",CommandOptionToMnemonic(
MagickMorphologyOptions, method) );
(void) CompositeImage(curr_image,image,DifferenceCompositeOp,
MagickTrue,0,0,exception);
break;
case EdgeMorphology:
if (verbose != MagickFalse)
(void) FormatLocaleFile(stderr,
"\n%s: Difference of Dilate and Erode",CommandOptionToMnemonic(
MagickMorphologyOptions, method) );
(void) CompositeImage(curr_image,save_image,DifferenceCompositeOp,
MagickTrue,0,0,exception);
save_image = DestroyImage(save_image); /* finished with save image */
break;
default:
break;
}
/* multi-kernel handling: re-iterate, or compose results */
if ( kernel->next == (KernelInfo *) NULL )
rslt_image = curr_image; /* just return the resulting image */
else if ( rslt_compose == NoCompositeOp )
{ if (verbose != MagickFalse) {
if ( this_kernel->next != (KernelInfo *) NULL )
(void) FormatLocaleFile(stderr, " (re-iterate)");
else
(void) FormatLocaleFile(stderr, " (done)");
}
rslt_image = curr_image; /* return result, and re-iterate */
}
else if ( rslt_image == (Image *) NULL)
{ if (verbose != MagickFalse)
(void) FormatLocaleFile(stderr, " (save for compose)");
rslt_image = curr_image;
curr_image = (Image *) image; /* continue with original image */
}
else
{ /* Add the new 'current' result to the composition
**
** The removal of any 'Sync' channel flag in the Image Compositon
** below ensures the methematical compose method is applied in a
** purely mathematical way, and only to the selected channels.
** IE: Turn off SVG composition 'alpha blending'.
*/
if (verbose != MagickFalse)
(void) FormatLocaleFile(stderr, " (compose \"%s\")",
CommandOptionToMnemonic(MagickComposeOptions, rslt_compose) );
(void) CompositeImage(rslt_image,curr_image,rslt_compose,MagickTrue,
0,0,exception);
curr_image = DestroyImage(curr_image);
curr_image = (Image *) image; /* continue with original image */
}
if (verbose != MagickFalse)
(void) FormatLocaleFile(stderr, "\n");
/* loop to the next kernel in a multi-kernel list */
norm_kernel = norm_kernel->next;
if ( rflt_kernel != (KernelInfo *) NULL )
rflt_kernel = rflt_kernel->next;
kernel_number++;
} /* End Loop 2: Loop over each kernel */
} /* End Loop 1: compound method interation */
goto exit_cleanup;
/* Yes goto's are bad, but it makes cleanup lot more efficient */
error_cleanup:
if ( curr_image == rslt_image )
curr_image = (Image *) NULL;
if ( rslt_image != (Image *) NULL )
rslt_image = DestroyImage(rslt_image);
exit_cleanup:
if ( curr_image == rslt_image || curr_image == image )
curr_image = (Image *) NULL;
if ( curr_image != (Image *) NULL )
curr_image = DestroyImage(curr_image);
if ( work_image != (Image *) NULL )
work_image = DestroyImage(work_image);
if ( save_image != (Image *) NULL )
save_image = DestroyImage(save_image);
if ( reflected_kernel != (KernelInfo *) NULL )
reflected_kernel = DestroyKernelInfo(reflected_kernel);
return(rslt_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% M o r p h o l o g y I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% MorphologyImage() applies a user supplied kernel to the image according to
% the given mophology method.
%
% This function applies any and all user defined settings before calling
% the above internal function MorphologyApply().
%
% User defined settings include...
% * Output Bias for Convolution and correlation ("-define convolve:bias=??")
% * Kernel Scale/normalize settings ("-define convolve:scale=??")
% This can also includes the addition of a scaled unity kernel.
% * Show Kernel being applied ("-define morphology:showKernel=1")
%
% Other operators that do not want user supplied options interfering,
% especially "convolve:bias" and "morphology:showKernel" should use
% MorphologyApply() directly.
%
% The format of the MorphologyImage method is:
%
% Image *MorphologyImage(const Image *image,MorphologyMethod method,
% const ssize_t iterations,KernelInfo *kernel,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o method: the morphology method to be applied.
%
% o iterations: apply the operation this many times (or no change).
% A value of -1 means loop until no change found.
% How this is applied may depend on the morphology method.
% Typically this is a value of 1.
%
% o kernel: An array of double representing the morphology kernel.
% Warning: kernel may be normalized for the Convolve method.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *MorphologyImage(const Image *image,
const MorphologyMethod method,const ssize_t iterations,
const KernelInfo *kernel,ExceptionInfo *exception)
{
const char
*artifact;
CompositeOperator
compose;
double
bias;
Image
*morphology_image;
KernelInfo
*curr_kernel;
curr_kernel = (KernelInfo *) kernel;
bias=0.0;
compose = UndefinedCompositeOp; /* use default for method */
/* Apply Convolve/Correlate Normalization and Scaling Factors.
* This is done BEFORE the ShowKernelInfo() function is called so that
* users can see the results of the 'option:convolve:scale' option.
*/
if ( method == ConvolveMorphology || method == CorrelateMorphology ) {
/* Get the bias value as it will be needed */
artifact = GetImageArtifact(image,"convolve:bias");
if ( artifact != (const char *) NULL) {
if (IsGeometry(artifact) == MagickFalse)
(void) ThrowMagickException(exception,GetMagickModule(),
OptionWarning,"InvalidSetting","'%s' '%s'",
"convolve:bias",artifact);
else
bias=StringToDoubleInterval(artifact,(double) QuantumRange+1.0);
}
/* Scale kernel according to user wishes */
artifact = GetImageArtifact(image,"convolve:scale");
if ( artifact != (const char *) NULL ) {
if (IsGeometry(artifact) == MagickFalse)
(void) ThrowMagickException(exception,GetMagickModule(),
OptionWarning,"InvalidSetting","'%s' '%s'",
"convolve:scale",artifact);
else {
if ( curr_kernel == kernel )
curr_kernel = CloneKernelInfo(kernel);
if (curr_kernel == (KernelInfo *) NULL)
return((Image *) NULL);
ScaleGeometryKernelInfo(curr_kernel, artifact);
}
}
}
/* display the (normalized) kernel via stderr */
artifact=GetImageArtifact(image,"morphology:showKernel");
if (IsStringTrue(artifact) != MagickFalse)
ShowKernelInfo(curr_kernel);
/* Override the default handling of multi-kernel morphology results
* If 'Undefined' use the default method
* If 'None' (default for 'Convolve') re-iterate previous result
* Otherwise merge resulting images using compose method given.
* Default for 'HitAndMiss' is 'Lighten'.
*/
{
ssize_t
parse;
artifact = GetImageArtifact(image,"morphology:compose");
if ( artifact != (const char *) NULL) {
parse=ParseCommandOption(MagickComposeOptions,
MagickFalse,artifact);
if ( parse < 0 )
(void) ThrowMagickException(exception,GetMagickModule(),
OptionWarning,"UnrecognizedComposeOperator","'%s' '%s'",
"morphology:compose",artifact);
else
compose=(CompositeOperator)parse;
}
}
/* Apply the Morphology */
morphology_image = MorphologyApply(image,method,iterations,
curr_kernel,compose,bias,exception);
/* Cleanup and Exit */
if ( curr_kernel != kernel )
curr_kernel=DestroyKernelInfo(curr_kernel);
return(morphology_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ R o t a t e K e r n e l I n f o %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% RotateKernelInfo() rotates the kernel by the angle given.
%
% Currently it is restricted to 90 degree angles, of either 1D kernels
% or square kernels. And 'circular' rotations of 45 degrees for 3x3 kernels.
% It will ignore usless rotations for specific 'named' built-in kernels.
%
% The format of the RotateKernelInfo method is:
%
% void RotateKernelInfo(KernelInfo *kernel, double angle)
%
% A description of each parameter follows:
%
% o kernel: the Morphology/Convolution kernel
%
% o angle: angle to rotate in degrees
%
% This function is currently internal to this module only, but can be exported
% to other modules if needed.
*/
static void RotateKernelInfo(KernelInfo *kernel, double angle)
{
/* angle the lower kernels first */
if ( kernel->next != (KernelInfo *) NULL)
RotateKernelInfo(kernel->next, angle);
/* WARNING: Currently assumes the kernel (rightly) is horizontally symetrical
**
** TODO: expand beyond simple 90 degree rotates, flips and flops
*/
/* Modulus the angle */
angle = fmod(angle, 360.0);
if ( angle < 0 )
angle += 360.0;
if ( 337.5 < angle || angle <= 22.5 )
return; /* Near zero angle - no change! - At least not at this time */
/* Handle special cases */
switch (kernel->type) {
/* These built-in kernels are cylindrical kernels, rotating is useless */
case GaussianKernel:
case DoGKernel:
case LoGKernel:
case DiskKernel:
case PeaksKernel:
case LaplacianKernel:
case ChebyshevKernel:
case ManhattanKernel:
case EuclideanKernel:
return;
/* These may be rotatable at non-90 angles in the future */
/* but simply rotating them in multiples of 90 degrees is useless */
case SquareKernel:
case DiamondKernel:
case PlusKernel:
case CrossKernel:
return;
/* These only allows a +/-90 degree rotation (by transpose) */
/* A 180 degree rotation is useless */
case BlurKernel:
if ( 135.0 < angle && angle <= 225.0 )
return;
if ( 225.0 < angle && angle <= 315.0 )
angle -= 180;
break;
default:
break;
}
/* Attempt rotations by 45 degrees -- 3x3 kernels only */
if ( 22.5 < fmod(angle,90.0) && fmod(angle,90.0) <= 67.5 )
{
if ( kernel->width == 3 && kernel->height == 3 )
{ /* Rotate a 3x3 square by 45 degree angle */
double t = kernel->values[0];
kernel->values[0] = kernel->values[3];
kernel->values[3] = kernel->values[6];
kernel->values[6] = kernel->values[7];
kernel->values[7] = kernel->values[8];
kernel->values[8] = kernel->values[5];
kernel->values[5] = kernel->values[2];
kernel->values[2] = kernel->values[1];
kernel->values[1] = t;
/* rotate non-centered origin */
if ( kernel->x != 1 || kernel->y != 1 ) {
ssize_t x,y;
x = (ssize_t) kernel->x-1;
y = (ssize_t) kernel->y-1;
if ( x == y ) x = 0;
else if ( x == 0 ) x = -y;
else if ( x == -y ) y = 0;
else if ( y == 0 ) y = x;
kernel->x = (ssize_t) x+1;
kernel->y = (ssize_t) y+1;
}
angle = fmod(angle+315.0, 360.0); /* angle reduced 45 degrees */
kernel->angle = fmod(kernel->angle+45.0, 360.0);
}
else
perror("Unable to rotate non-3x3 kernel by 45 degrees");
}
if ( 45.0 < fmod(angle, 180.0) && fmod(angle,180.0) <= 135.0 )
{
if ( kernel->width == 1 || kernel->height == 1 )
{ /* Do a transpose of a 1 dimensional kernel,
** which results in a fast 90 degree rotation of some type.
*/
ssize_t
t;
t = (ssize_t) kernel->width;
kernel->width = kernel->height;
kernel->height = (size_t) t;
t = kernel->x;
kernel->x = kernel->y;
kernel->y = t;
if ( kernel->width == 1 ) {
angle = fmod(angle+270.0, 360.0); /* angle reduced 90 degrees */
kernel->angle = fmod(kernel->angle+90.0, 360.0);
} else {
angle = fmod(angle+90.0, 360.0); /* angle increased 90 degrees */
kernel->angle = fmod(kernel->angle+270.0, 360.0);
}
}
else if ( kernel->width == kernel->height )
{ /* Rotate a square array of values by 90 degrees */
{ register ssize_t
i,j,x,y;
register MagickRealType
*k,t;
k=kernel->values;
for( i=0, x=(ssize_t) kernel->width-1; i<=x; i++, x--)
for( j=0, y=(ssize_t) kernel->height-1; j<y; j++, y--)
{ t = k[i+j*kernel->width];
k[i+j*kernel->width] = k[j+x*kernel->width];
k[j+x*kernel->width] = k[x+y*kernel->width];
k[x+y*kernel->width] = k[y+i*kernel->width];
k[y+i*kernel->width] = t;
}
}
/* rotate the origin - relative to center of array */
{ register ssize_t x,y;
x = (ssize_t) (kernel->x*2-kernel->width+1);
y = (ssize_t) (kernel->y*2-kernel->height+1);
kernel->x = (ssize_t) ( -y +(ssize_t) kernel->width-1)/2;
kernel->y = (ssize_t) ( +x +(ssize_t) kernel->height-1)/2;
}
angle = fmod(angle+270.0, 360.0); /* angle reduced 90 degrees */
kernel->angle = fmod(kernel->angle+90.0, 360.0);
}
else
perror("Unable to rotate a non-square, non-linear kernel 90 degrees");
}
if ( 135.0 < angle && angle <= 225.0 )
{
/* For a 180 degree rotation - also know as a reflection
* This is actually a very very common operation!
* Basically all that is needed is a reversal of the kernel data!
* And a reflection of the origon
*/
MagickRealType
t;
register MagickRealType
*k;
ssize_t
i,
j;
k=kernel->values;
j=(ssize_t) (kernel->width*kernel->height-1);
for (i=0; i < j; i++, j--)
t=k[i], k[i]=k[j], k[j]=t;
kernel->x = (ssize_t) kernel->width - kernel->x - 1;
kernel->y = (ssize_t) kernel->height - kernel->y - 1;
angle = fmod(angle-180.0, 360.0); /* angle+180 degrees */
kernel->angle = fmod(kernel->angle+180.0, 360.0);
}
/* At this point angle should at least between -45 (315) and +45 degrees
* In the future some form of non-orthogonal angled rotates could be
* performed here, posibily with a linear kernel restriction.
*/
return;
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S c a l e G e o m e t r y K e r n e l I n f o %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ScaleGeometryKernelInfo() takes a geometry argument string, typically
% provided as a "-set option:convolve:scale {geometry}" user setting,
% and modifies the kernel according to the parsed arguments of that setting.
%
% The first argument (and any normalization flags) are passed to
% ScaleKernelInfo() to scale/normalize the kernel. The second argument
% is then passed to UnityAddKernelInfo() to add a scled unity kernel
% into the scaled/normalized kernel.
%
% The format of the ScaleGeometryKernelInfo method is:
%
% void ScaleGeometryKernelInfo(KernelInfo *kernel,
% const double scaling_factor,const MagickStatusType normalize_flags)
%
% A description of each parameter follows:
%
% o kernel: the Morphology/Convolution kernel to modify
%
% o geometry:
% The geometry string to parse, typically from the user provided
% "-set option:convolve:scale {geometry}" setting.
%
*/
MagickExport void ScaleGeometryKernelInfo (KernelInfo *kernel,
const char *geometry)
{
MagickStatusType
flags;
GeometryInfo
args;
SetGeometryInfo(&args);
flags = ParseGeometry(geometry, &args);
#if 0
/* For Debugging Geometry Input */
(void) FormatLocaleFile(stderr, "Geometry = 0x%04X : %lg x %lg %+lg %+lg\n",
flags, args.rho, args.sigma, args.xi, args.psi );
#endif
if ( (flags & PercentValue) != 0 ) /* Handle Percentage flag*/
args.rho *= 0.01, args.sigma *= 0.01;
if ( (flags & RhoValue) == 0 ) /* Set Defaults for missing args */
args.rho = 1.0;
if ( (flags & SigmaValue) == 0 )
args.sigma = 0.0;
/* Scale/Normalize the input kernel */
ScaleKernelInfo(kernel, args.rho, (GeometryFlags) flags);
/* Add Unity Kernel, for blending with original */
if ( (flags & SigmaValue) != 0 )
UnityAddKernelInfo(kernel, args.sigma);
return;
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S c a l e K e r n e l I n f o %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ScaleKernelInfo() scales the given kernel list by the given amount, with or
% without normalization of the sum of the kernel values (as per given flags).
%
% By default (no flags given) the values within the kernel is scaled
% directly using given scaling factor without change.
%
% If either of the two 'normalize_flags' are given the kernel will first be
% normalized and then further scaled by the scaling factor value given.
%
% Kernel normalization ('normalize_flags' given) is designed to ensure that
% any use of the kernel scaling factor with 'Convolve' or 'Correlate'
% morphology methods will fall into -1.0 to +1.0 range. Note that for
% non-HDRI versions of IM this may cause images to have any negative results
% clipped, unless some 'bias' is used.
%
% More specifically. Kernels which only contain positive values (such as a
% 'Gaussian' kernel) will be scaled so that those values sum to +1.0,
% ensuring a 0.0 to +1.0 output range for non-HDRI images.
%
% For Kernels that contain some negative values, (such as 'Sharpen' kernels)
% the kernel will be scaled by the absolute of the sum of kernel values, so
% that it will generally fall within the +/- 1.0 range.
%
% For kernels whose values sum to zero, (such as 'Laplician' kernels) kernel
% will be scaled by just the sum of the postive values, so that its output
% range will again fall into the +/- 1.0 range.
%
% For special kernels designed for locating shapes using 'Correlate', (often
% only containing +1 and -1 values, representing foreground/brackground
% matching) a special normalization method is provided to scale the positive
% values separately to those of the negative values, so the kernel will be
% forced to become a zero-sum kernel better suited to such searches.
%
% WARNING: Correct normalization of the kernel assumes that the '*_range'
% attributes within the kernel structure have been correctly set during the
% kernels creation.
%
% NOTE: The values used for 'normalize_flags' have been selected specifically
% to match the use of geometry options, so that '!' means NormalizeValue, '^'
% means CorrelateNormalizeValue. All other GeometryFlags values are ignored.
%
% The format of the ScaleKernelInfo method is:
%
% void ScaleKernelInfo(KernelInfo *kernel, const double scaling_factor,
% const MagickStatusType normalize_flags )
%
% A description of each parameter follows:
%
% o kernel: the Morphology/Convolution kernel
%
% o scaling_factor:
% multiply all values (after normalization) by this factor if not
% zero. If the kernel is normalized regardless of any flags.
%
% o normalize_flags:
% GeometryFlags defining normalization method to use.
% specifically: NormalizeValue, CorrelateNormalizeValue,
% and/or PercentValue
%
*/
MagickExport void ScaleKernelInfo(KernelInfo *kernel,
const double scaling_factor,const GeometryFlags normalize_flags)
{
register double
pos_scale,
neg_scale;
register ssize_t
i;
/* do the other kernels in a multi-kernel list first */
if ( kernel->next != (KernelInfo *) NULL)
ScaleKernelInfo(kernel->next, scaling_factor, normalize_flags);
/* Normalization of Kernel */
pos_scale = 1.0;
if ( (normalize_flags&NormalizeValue) != 0 ) {
if ( fabs(kernel->positive_range + kernel->negative_range) >= MagickEpsilon )
/* non-zero-summing kernel (generally positive) */
pos_scale = fabs(kernel->positive_range + kernel->negative_range);
else
/* zero-summing kernel */
pos_scale = kernel->positive_range;
}
/* Force kernel into a normalized zero-summing kernel */
if ( (normalize_flags&CorrelateNormalizeValue) != 0 ) {
pos_scale = ( fabs(kernel->positive_range) >= MagickEpsilon )
? kernel->positive_range : 1.0;
neg_scale = ( fabs(kernel->negative_range) >= MagickEpsilon )
? -kernel->negative_range : 1.0;
}
else
neg_scale = pos_scale;
/* finialize scaling_factor for positive and negative components */
pos_scale = scaling_factor/pos_scale;
neg_scale = scaling_factor/neg_scale;
for (i=0; i < (ssize_t) (kernel->width*kernel->height); i++)
if (!IsNaN(kernel->values[i]))
kernel->values[i] *= (kernel->values[i] >= 0) ? pos_scale : neg_scale;
/* convolution output range */
kernel->positive_range *= pos_scale;
kernel->negative_range *= neg_scale;
/* maximum and minimum values in kernel */
kernel->maximum *= (kernel->maximum >= 0.0) ? pos_scale : neg_scale;
kernel->minimum *= (kernel->minimum >= 0.0) ? pos_scale : neg_scale;
/* swap kernel settings if user's scaling factor is negative */
if ( scaling_factor < MagickEpsilon ) {
double t;
t = kernel->positive_range;
kernel->positive_range = kernel->negative_range;
kernel->negative_range = t;
t = kernel->maximum;
kernel->maximum = kernel->minimum;
kernel->minimum = 1;
}
return;
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S h o w K e r n e l I n f o %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ShowKernelInfo() outputs the details of the given kernel defination to
% standard error, generally due to a users 'morphology:showKernel' option
% request.
%
% The format of the ShowKernel method is:
%
% void ShowKernelInfo(const KernelInfo *kernel)
%
% A description of each parameter follows:
%
% o kernel: the Morphology/Convolution kernel
%
*/
MagickPrivate void ShowKernelInfo(const KernelInfo *kernel)
{
const KernelInfo
*k;
size_t
c, i, u, v;
for (c=0, k=kernel; k != (KernelInfo *) NULL; c++, k=k->next ) {
(void) FormatLocaleFile(stderr, "Kernel");
if ( kernel->next != (KernelInfo *) NULL )
(void) FormatLocaleFile(stderr, " #%lu", (unsigned long) c );
(void) FormatLocaleFile(stderr, " \"%s",
CommandOptionToMnemonic(MagickKernelOptions, k->type) );
if ( fabs(k->angle) >= MagickEpsilon )
(void) FormatLocaleFile(stderr, "@%lg", k->angle);
(void) FormatLocaleFile(stderr, "\" of size %lux%lu%+ld%+ld",(unsigned long)
k->width,(unsigned long) k->height,(long) k->x,(long) k->y);
(void) FormatLocaleFile(stderr,
" with values from %.*lg to %.*lg\n",
GetMagickPrecision(), k->minimum,
GetMagickPrecision(), k->maximum);
(void) FormatLocaleFile(stderr, "Forming a output range from %.*lg to %.*lg",
GetMagickPrecision(), k->negative_range,
GetMagickPrecision(), k->positive_range);
if ( fabs(k->positive_range+k->negative_range) < MagickEpsilon )
(void) FormatLocaleFile(stderr, " (Zero-Summing)\n");
else if ( fabs(k->positive_range+k->negative_range-1.0) < MagickEpsilon )
(void) FormatLocaleFile(stderr, " (Normalized)\n");
else
(void) FormatLocaleFile(stderr, " (Sum %.*lg)\n",
GetMagickPrecision(), k->positive_range+k->negative_range);
for (i=v=0; v < k->height; v++) {
(void) FormatLocaleFile(stderr, "%2lu:", (unsigned long) v );
for (u=0; u < k->width; u++, i++)
if (IsNaN(k->values[i]))
(void) FormatLocaleFile(stderr," %*s", GetMagickPrecision()+3, "nan");
else
(void) FormatLocaleFile(stderr," %*.*lg", GetMagickPrecision()+3,
GetMagickPrecision(), (double) k->values[i]);
(void) FormatLocaleFile(stderr,"\n");
}
}
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% U n i t y A d d K e r n a l I n f o %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% UnityAddKernelInfo() Adds a given amount of the 'Unity' Convolution Kernel
% to the given pre-scaled and normalized Kernel. This in effect adds that
% amount of the original image into the resulting convolution kernel. This
% value is usually provided by the user as a percentage value in the
% 'convolve:scale' setting.
%
% The resulting effect is to convert the defined kernels into blended
% soft-blurs, unsharp kernels or into sharpening kernels.
%
% The format of the UnityAdditionKernelInfo method is:
%
% void UnityAdditionKernelInfo(KernelInfo *kernel, const double scale )
%
% A description of each parameter follows:
%
% o kernel: the Morphology/Convolution kernel
%
% o scale:
% scaling factor for the unity kernel to be added to
% the given kernel.
%
*/
MagickExport void UnityAddKernelInfo(KernelInfo *kernel,
const double scale)
{
/* do the other kernels in a multi-kernel list first */
if ( kernel->next != (KernelInfo *) NULL)
UnityAddKernelInfo(kernel->next, scale);
/* Add the scaled unity kernel to the existing kernel */
kernel->values[kernel->x+kernel->y*kernel->width] += scale;
CalcKernelMetaData(kernel); /* recalculate the meta-data */
return;
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% Z e r o K e r n e l N a n s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ZeroKernelNans() replaces any special 'nan' value that may be present in
% the kernel with a zero value. This is typically done when the kernel will
% be used in special hardware (GPU) convolution processors, to simply
% matters.
%
% The format of the ZeroKernelNans method is:
%
% void ZeroKernelNans (KernelInfo *kernel)
%
% A description of each parameter follows:
%
% o kernel: the Morphology/Convolution kernel
%
*/
MagickPrivate void ZeroKernelNans(KernelInfo *kernel)
{
register size_t
i;
/* do the other kernels in a multi-kernel list first */
if (kernel->next != (KernelInfo *) NULL)
ZeroKernelNans(kernel->next);
for (i=0; i < (kernel->width*kernel->height); i++)
if (IsNaN(kernel->values[i]))
kernel->values[i]=0.0;
return;
}
|
pi2.c | /*
* This code calculates pi using the formula to calculate
* the atan(z) which is the integral from 0 to z of 1/(1+x*x)
* times dx. atan(1) is 45 degrees or pi/4
*/
#include <stdio.h>
#include <omp.h>
static long num_steps = 100000; /* number of intervals */
double step; /* the size of the interval - dx */
#define NUM_THREADS 2
int main () {
int i; /* Loop control variable */
double x; /* Actually not used */
double pi; /* final results */
double sum[NUM_THREADS]; /* Maintains partial sum for thread */
step = 1.0 / (double)num_steps;
/*
* This may be done more flexibly by using an environment
* variable instead.
*/
omp_set_num_threads(NUM_THREADS);
/*
* Each thread executes the code below
*
* See what happens if private (i) is removed!
*/
#pragma omp parallel private (i)
{
double x; /* The current x position for function evaluation */
int id; /* The identity of the thread */
id = omp_get_thread_num();
/*
* Calculate the integral
*/
for (i = id, sum[id] = 0.0; i < num_steps; i = i + NUM_THREADS) {
x = (i + 0.5) * step;
sum[id] += 4.0 / (1.0 + x * x);
}
}
/*
* Multiply by dx
*/
for (i = 0, pi = 0.0; i < NUM_THREADS; i++) {
pi += sum[i] * step;
}
printf( "The computed value of pi is %f\n", pi);
return 0;
}
|
mxnet_op.h | /*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
* under the License.
*/
/*!
* \file mxnet_op.h
* \brief
* \author Junyuan Xie
*/
#ifndef MXNET_OPERATOR_MXNET_OP_H_
#define MXNET_OPERATOR_MXNET_OP_H_
#include <dmlc/omp.h>
#include <mxnet/base.h>
#include <mxnet/engine.h>
#include <mxnet/op_attr_types.h>
#include <algorithm>
#include <limits>
#include "./operator_tune.h"
#include "../engine/openmp.h"
#ifdef __CUDACC__
#include "../common/cuda/utils.h"
#endif // __CUDACC__
namespace mxnet {
namespace op {
namespace mxnet_op {
using namespace mshadow;
#ifdef __CUDA_ARCH__
__constant__ const float PI = 3.14159265358979323846;
#else
const float PI = 3.14159265358979323846;
using std::isnan;
#endif
template <typename xpu>
int get_num_threads(const int N);
#ifdef __CUDACC__
#define CUDA_KERNEL_LOOP(i, n) \
for (int i = blockIdx.x * blockDim.x + threadIdx.x; i < (n); i += blockDim.x * gridDim.x)
inline cudaDeviceProp cuda_get_device_prop() {
int device;
CUDA_CALL(cudaGetDevice(&device));
cudaDeviceProp deviceProp;
CUDA_CALL(cudaGetDeviceProperties(&deviceProp, device));
return deviceProp;
}
/*!
* \brief Get the number of blocks for cuda kernel given N
*/
inline int cuda_get_num_blocks(const int N) {
using namespace mshadow::cuda;
return std::min(kMaxGridNum, (N + kBaseThreadNum - 1) / kBaseThreadNum);
}
template <>
inline int get_num_threads<gpu>(const int N) {
using namespace mshadow::cuda;
return kBaseThreadNum * cuda_get_num_blocks(N);
}
#endif // __CUDACC__
template <>
inline int get_num_threads<cpu>(const int N) {
return engine::OpenMP::Get()->GetRecommendedOMPThreadCount();
}
/*! \brief operator request type switch */
#define MXNET_ASSIGN_REQ_SWITCH(req, ReqType, ...) \
switch (req) { \
case kNullOp: \
break; \
case kWriteInplace: \
case kWriteTo: { \
const OpReqType ReqType = kWriteTo; \
{ __VA_ARGS__ } \
} break; \
case kAddTo: { \
const OpReqType ReqType = kAddTo; \
{ __VA_ARGS__ } \
} break; \
default: \
break; \
}
/*! \brief operator request type switch */
#define MXNET_REQ_TYPE_SWITCH(req, ReqType, ...) \
switch (req) { \
case kNullOp: { \
const OpReqType ReqType = kNullOp; \
{ __VA_ARGS__ } \
} break; \
case kWriteInplace: \
case kWriteTo: { \
const OpReqType ReqType = kWriteTo; \
{ __VA_ARGS__ } \
} break; \
case kAddTo: { \
const OpReqType ReqType = kAddTo; \
{ __VA_ARGS__ } \
} break; \
default: \
break; \
}
#define MXNET_NDIM_SWITCH(NDim, ndim, ...) \
if (NDim == 0) { \
} else if (NDim == 1) { \
const int ndim = 1; \
{ __VA_ARGS__ } \
} else if (NDim == 2) { \
const int ndim = 2; \
{ __VA_ARGS__ } \
} else if (NDim == 3) { \
const int ndim = 3; \
{ __VA_ARGS__ } \
} else if (NDim == 4) { \
const int ndim = 4; \
{ __VA_ARGS__ } \
} else if (NDim == 5) { \
const int ndim = 5; \
{ __VA_ARGS__ } \
} else { \
LOG(FATAL) << "ndim=" << NDim << "too large "; \
}
#define MXNET_NDIM_SWITCH_EX(NDim, ndim, ...) \
if (NDim == 0) { \
} else if (NDim == 1) { \
const int ndim = 1; \
{ __VA_ARGS__ } \
} else if (NDim == 2) { \
const int ndim = 2; \
{ __VA_ARGS__ } \
} else if (NDim == 3) { \
const int ndim = 3; \
{ __VA_ARGS__ } \
} else if (NDim == 4) { \
const int ndim = 4; \
{ __VA_ARGS__ } \
} else if (NDim == 5) { \
const int ndim = 5; \
{ __VA_ARGS__ } \
} else if (NDim == 6) { \
const int ndim = 6; \
{ __VA_ARGS__ } \
} else if (NDim == 7) { \
const int ndim = 7; \
{ __VA_ARGS__ } \
} else if (NDim == 8) { \
const int ndim = 8; \
{ __VA_ARGS__ } \
} else if (NDim == 9) { \
const int ndim = 9; \
{ __VA_ARGS__ } \
} else if (NDim == 10) { \
const int ndim = 10; \
{ __VA_ARGS__ } \
} else { \
LOG(FATAL) << "ndim=" << NDim << "too large "; \
}
#define MXNET_NO_INT8_TYPE_SWITCH(type, DType, ...) \
switch (type) { \
case mshadow::kFloat32: { \
typedef float DType; \
{ __VA_ARGS__ } \
} break; \
case mshadow::kFloat64: { \
typedef double DType; \
{ __VA_ARGS__ } \
} break; \
case mshadow::kFloat16: \
case mshadow::kBfloat16: { \
typedef mshadow::half::half_t DType; \
{ __VA_ARGS__ } \
} break; \
case mshadow::kUint8: \
LOG(FATAL) << "This operation does not " \
"support int8 or uint8"; \
break; \
case mshadow::kInt8: \
LOG(FATAL) << "This operation does not " \
"support int8 or uint8"; \
break; \
case mshadow::kInt32: { \
typedef int32_t DType; \
{ __VA_ARGS__ } \
} break; \
case mshadow::kInt64: { \
typedef int64_t DType; \
{ __VA_ARGS__ } \
} break; \
default: \
LOG(FATAL) << "Unknown type enum " << type; \
}
#define MXNET_NO_BFLOAT16_TYPE_SWITCH(type, DType, ...) \
switch (type) { \
case mshadow::kFloat32: { \
typedef float DType; \
{ __VA_ARGS__ } \
} break; \
case mshadow::kFloat64: { \
typedef double DType; \
{ __VA_ARGS__ } \
} break; \
case mshadow::kFloat16: { \
typedef mshadow::half::half_t DType; \
{ __VA_ARGS__ } \
} break; \
case mshadow::kBfloat16: \
LOG(FATAL) << "This operation does not " \
"support bfloat16"; \
break; \
case mshadow::kInt8: { \
typedef int32_t DType; \
{ __VA_ARGS__ } \
} break; \
case mshadow::kInt32: { \
typedef int32_t DType; \
{ __VA_ARGS__ } \
} break; \
case mshadow::kInt64: { \
typedef int64_t DType; \
{ __VA_ARGS__ } \
} break; \
default: \
LOG(FATAL) << "Unknown type enum " << type; \
}
#define MXNET_NO_FLOAT16_TYPE_SWITCH(type, DType, ...) \
switch (type) { \
case mshadow::kFloat32: { \
typedef float DType; \
{ __VA_ARGS__ } \
} break; \
case mshadow::kFloat64: { \
typedef double DType; \
{ __VA_ARGS__ } \
} break; \
case mshadow::kFloat16: \
LOG(FATAL) << "This operation does not " \
"support float16"; \
break; \
case mshadow::kUint8: { \
typedef uint8_t DType; \
{ __VA_ARGS__ } \
} break; \
case mshadow::kInt8: { \
typedef int8_t DType; \
{ __VA_ARGS__ } \
} break; \
case mshadow::kInt32: { \
typedef int32_t DType; \
{ __VA_ARGS__ } \
} break; \
case mshadow::kInt64: { \
typedef int64_t DType; \
{ __VA_ARGS__ } \
} break; \
default: \
LOG(FATAL) << "Unknown type enum " << type; \
}
template <typename T>
struct AccType {
using type = T;
};
template <>
struct AccType<mshadow::half::half_t> {
using type = float;
};
#define MXNET_REAL_ACC_TYPE_SWITCH(type, DType, AType, ...) \
switch (type) { \
case mshadow::kFloat32: { \
typedef float DType; \
typedef double AType; \
{ __VA_ARGS__ } \
} break; \
case mshadow::kFloat64: { \
typedef double DType; \
typedef double AType; \
{ __VA_ARGS__ } \
} break; \
case mshadow::kFloat16: { \
typedef mshadow::half::half_t DType; \
typedef float AType; \
{ __VA_ARGS__ } \
} break; \
case mshadow::kUint8: { \
LOG(FATAL) << "This operation only support " \
"floating point types not uint8"; \
} break; \
case mshadow::kInt8: { \
LOG(FATAL) << "This operation only support " \
"floating point types not int8"; \
} break; \
case mshadow::kInt32: { \
LOG(FATAL) << "This operation only support " \
"floating point types, not int32"; \
} break; \
case mshadow::kInt64: { \
LOG(FATAL) << "This operation only support " \
"floating point types, not int64"; \
} break; \
case mshadow::kBool: { \
LOG(FATAL) << "This operation only support " \
"floating point types, not bool"; \
} break; \
default: \
LOG(FATAL) << "Unknown type enum " << type; \
}
#define MXNET_ACC_TYPE_SWITCH(type, DType, AType, ...) \
switch (type) { \
case mshadow::kFloat32: { \
typedef float DType; \
typedef double AType; \
{ __VA_ARGS__ } \
} break; \
case mshadow::kFloat64: { \
typedef double DType; \
typedef double AType; \
{ __VA_ARGS__ } \
} break; \
case mshadow::kFloat16: { \
typedef mshadow::half::half_t DType; \
typedef float AType; \
{ __VA_ARGS__ } \
} break; \
case mshadow::kUint8: { \
typedef uint8_t DType; \
typedef uint32_t AType; \
{ __VA_ARGS__ } \
} break; \
case mshadow::kInt8: { \
typedef int8_t DType; \
typedef int32_t AType; \
{ __VA_ARGS__ } \
} break; \
case mshadow::kInt32: { \
typedef int32_t DType; \
typedef int64_t AType; \
{ __VA_ARGS__ } \
} break; \
case mshadow::kInt64: { \
typedef int64_t DType; \
typedef int64_t AType; \
{ __VA_ARGS__ } \
} break; \
case mshadow::kBool: { \
typedef bool DType; \
typedef int64_t AType; \
{ __VA_ARGS__ } \
} break; \
default: \
LOG(FATAL) << "Unknown type enum " << type; \
}
#define MXNET_INT_TYPE_SWITCH(type, DType, ...) \
switch (type) { \
case mshadow::kFloat32: { \
LOG(FATAL) << "This operation only support " \
"integer types, not float32"; \
} break; \
case mshadow::kFloat64: { \
LOG(FATAL) << "This operation only support " \
"integer types, not float64"; \
} break; \
case mshadow::kFloat16: { \
LOG(FATAL) << "This operation only support " \
"integer types, not float16"; \
} break; \
case mshadow::kUint8: { \
typedef uint8_t DType; \
{ __VA_ARGS__ } \
} break; \
case mshadow::kInt8: { \
typedef int8_t DType; \
{ __VA_ARGS__ } \
} break; \
case mshadow::kInt32: { \
typedef int32_t DType; \
{ __VA_ARGS__ } \
} break; \
case mshadow::kInt64: { \
typedef int64_t DType; \
{ __VA_ARGS__ } \
} break; \
case mshadow::kBool: { \
typedef bool DType; \
{ __VA_ARGS__ } \
} break; \
default: \
LOG(FATAL) << "Unknown type enum " << type; \
}
#define MXNET_INT_TYPE_SWITCH_EXT_WITH_BOOL(type, DType, ...) \
switch (type) { \
case mshadow::kFloat32: { \
LOG(FATAL) << "This operation only support " \
"integer and bool types, not float32"; \
} break; \
case mshadow::kFloat64: { \
LOG(FATAL) << "This operation only support " \
"integer and bool types, not float64"; \
} break; \
case mshadow::kFloat16: { \
LOG(FATAL) << "This operation only support " \
"integer and boo; types, not float16"; \
} break; \
case mshadow::kUint8: { \
typedef uint8_t DType; \
{ __VA_ARGS__ } \
} break; \
case mshadow::kInt8: { \
typedef int8_t DType; \
{ __VA_ARGS__ } \
} break; \
case mshadow::kInt32: { \
typedef int32_t DType; \
{ __VA_ARGS__ } \
} break; \
case mshadow::kInt64: { \
typedef int64_t DType; \
{ __VA_ARGS__ } \
} break; \
case mshadow::kInt16: { \
typedef int16_t DType; \
{ __VA_ARGS__ } \
} break; \
case mshadow::kUint16: { \
typedef uint16_t DType; \
{ __VA_ARGS__ } \
} break; \
case mshadow::kUint32: { \
typedef uint32_t DType; \
{ __VA_ARGS__ } \
} break; \
case mshadow::kUint64: { \
typedef uint64_t DType; \
{ __VA_ARGS__ } \
} break; \
case mshadow::kBool: { \
typedef bool DType; \
{ __VA_ARGS__ } \
} break; \
default: \
LOG(FATAL) << "Unknown type enum " << type; \
}
#define MXNET_INT_TYPE_SWITCH_EXT(type, DType, ...) \
switch (type) { \
case mshadow::kFloat32: { \
LOG(FATAL) << "This operation only support " \
"integer types, not float32"; \
} break; \
case mshadow::kFloat64: { \
LOG(FATAL) << "This operation only support " \
"integer types, not float64"; \
} break; \
case mshadow::kFloat16: { \
LOG(FATAL) << "This operation only support " \
"integer types, not float16"; \
} break; \
case mshadow::kUint8: { \
typedef uint8_t DType; \
{ __VA_ARGS__ } \
} break; \
case mshadow::kInt8: { \
typedef int8_t DType; \
{ __VA_ARGS__ } \
} break; \
case mshadow::kInt32: { \
typedef int32_t DType; \
{ __VA_ARGS__ } \
} break; \
case mshadow::kInt64: { \
typedef int64_t DType; \
{ __VA_ARGS__ } \
} break; \
case mshadow::kInt16: { \
typedef int16_t DType; \
{ __VA_ARGS__ } \
} break; \
case mshadow::kUint16: { \
typedef uint16_t DType; \
{ __VA_ARGS__ } \
} break; \
case mshadow::kUint32: { \
typedef uint32_t DType; \
{ __VA_ARGS__ } \
} break; \
case mshadow::kUint64: { \
typedef uint64_t DType; \
{ __VA_ARGS__ } \
} break; \
case mshadow::kBool: { \
LOG(FATAL) << "This operation only support " \
"integer types, not bool type"; \
} break; \
default: \
LOG(FATAL) << "Unknown type enum " << type; \
}
#define MXNET_INT32_INT64_TYPE_SWITCH(type, DType, ...) \
switch (type) { \
case mshadow::kFloat32: { \
LOG(FATAL) << "This operation only support " \
"integer types, not float32"; \
} break; \
case mshadow::kFloat64: { \
LOG(FATAL) << "This operation only support " \
"integer types, not float64"; \
} break; \
case mshadow::kFloat16: { \
LOG(FATAL) << "This operation only support " \
"integer types, not float16"; \
} break; \
case mshadow::kUint8: { \
LOG(FATAL) << "This operation only support " \
"integer types, not uint8"; \
} break; \
case mshadow::kInt8: { \
LOG(FATAL) << "This operation only support " \
"integer types, not int8"; \
} break; \
case mshadow::kInt32: { \
typedef int32_t DType; \
{ __VA_ARGS__ } \
} break; \
case mshadow::kInt64: { \
typedef int64_t DType; \
{ __VA_ARGS__ } \
} break; \
case mshadow::kBool: { \
LOG(FATAL) << "This operation only support " \
"integer types, not bool"; \
} break; \
default: \
LOG(FATAL) << "Unknown type enum " << type; \
}
#define MXNET_LOAD_TYPE_SWITCH(type, DType, ...) \
switch (type) { \
case mshadow::kFloat32: { \
typedef float DType; \
{ __VA_ARGS__ } \
} break; \
case mshadow::kFloat64: { \
typedef double DType; \
{ __VA_ARGS__ } \
} break; \
case mshadow::kFloat16: { \
typedef mshadow::half::half_t DType; \
{ __VA_ARGS__ } \
} break; \
case mshadow::kUint8: { \
typedef uint8_t DType; \
{ __VA_ARGS__ } \
} break; \
default: \
LOG(FATAL) << "Invalid loading enum type " << type; \
}
/*!
* \brief assign the val to out according
* to request in Kernel::Launch
* \param out the data to be assigned
* \param req the assignment request
* \param val the value to be assigned to out
* \tparam OType output type
* \tparam VType value type
*/
#define KERNEL_ASSIGN(out, req, val) \
{ \
switch (req) { \
case kNullOp: \
break; \
case kWriteTo: \
case kWriteInplace: \
(out) = (val); \
break; \
case kAddTo: \
(out) += (val); \
break; \
default: \
break; \
} \
}
#define MXNET_ADD_ALL_TYPES \
.add_enum("float32", mshadow::kFloat32) \
.add_enum("float64", mshadow::kFloat64) \
.add_enum("float16", mshadow::kFloat16) \
.add_enum("bfloat16", mshadow::kBfloat16) \
.add_enum("uint8", mshadow::kUint8) \
.add_enum("int8", mshadow::kInt8) \
.add_enum("int32", mshadow::kInt32) \
.add_enum("int64", mshadow::kInt64)
#define MXNET_ADD_ALL_TYPES_WITH_BOOL \
.add_enum("float32", mshadow::kFloat32) \
.add_enum("float64", mshadow::kFloat64) \
.add_enum("float16", mshadow::kFloat16) \
.add_enum("bfloat16", mshadow::kBfloat16) \
.add_enum("uint8", mshadow::kUint8) \
.add_enum("int8", mshadow::kInt8) \
.add_enum("int32", mshadow::kInt32) \
.add_enum("int64", mshadow::kInt64) \
.add_enum("bool", mshadow::kBool)
#define MXNET_ADD_ALL_TYPES_EXT \
.add_enum("float32", mshadow::kFloat32) \
.add_enum("float64", mshadow::kFloat64) \
.add_enum("float16", mshadow::kFloat16) \
.add_enum("bfloat16", mshadow::kBfloat16) \
.add_enum("uint8", mshadow::kUint8) \
.add_enum("int8", mshadow::kInt8) \
.add_enum("int32", mshadow::kInt32) \
.add_enum("int64", mshadow::kInt64) \
.add_enum("int16", mshadow::kInt16) \
.add_enum("uint16", mshadow::kUint16) \
.add_enum("uint32", mshadow::kUint32) \
.add_enum("uint64", mshadow::kUint64)
#define MXNET_ADD_ALL_TYPES_EXT_WITH_BOOL \
.add_enum("float32", mshadow::kFloat32) \
.add_enum("float64", mshadow::kFloat64) \
.add_enum("float16", mshadow::kFloat16) \
.add_enum("bfloat16", mshadow::kBfloat16) \
.add_enum("uint8", mshadow::kUint8) \
.add_enum("int8", mshadow::kInt8) \
.add_enum("int32", mshadow::kInt32) \
.add_enum("int64", mshadow::kInt64) \
.add_enum("bool", mshadow::kBool) \
.add_enum("int16", mshadow::kInt16) \
.add_enum("uint16", mshadow::kUint16) \
.add_enum("uint32", mshadow::kUint32) \
.add_enum("uint64", mshadow::kUint64)
/* \brief Compute flattened index given coordinates and shape. */
template <int ndim>
MSHADOW_XINLINE index_t ravel(const Shape<ndim>& coord, const Shape<ndim>& shape) {
index_t ret = 0;
#pragma unroll
for (int i = 0; i < ndim; ++i) {
ret = ret * shape[i] + (shape[i] > coord[i]) * coord[i];
}
return ret;
}
/* Compute coordinates from flattened index given shape */
template <int ndim>
MSHADOW_XINLINE Shape<ndim> unravel(const index_t idx, const Shape<ndim>& shape) {
Shape<ndim> ret;
#pragma unroll
for (index_t i = ndim - 1, j = idx; i >= 0; --i) {
auto tmp = j / shape[i];
ret[i] = j - tmp * shape[i];
j = tmp;
}
return ret;
}
/* Compute dot product of two vector */
template <int ndim>
MSHADOW_XINLINE index_t dot(const Shape<ndim>& coord, const Shape<ndim>& stride) {
index_t ret = 0;
#pragma unroll
for (int i = 0; i < ndim; ++i) {
ret += coord[i] * stride[i];
}
return ret;
}
/* Combining unravel and dot */
template <int ndim>
MSHADOW_XINLINE index_t unravel_dot(const index_t idx,
const Shape<ndim>& shape,
const Shape<ndim>& stride) {
index_t ret = 0;
#pragma unroll
for (index_t i = ndim - 1, j = idx; i >= 0; --i) {
auto tmp = j / shape[i];
ret += (j - tmp * shape[i]) * stride[i];
j = tmp;
}
return ret;
}
/* Calculate stride of each dim from shape */
template <int ndim>
MSHADOW_XINLINE Shape<ndim> calc_stride(const Shape<ndim>& shape) {
Shape<ndim> stride;
index_t cumprod = 1;
#pragma unroll
for (int i = ndim - 1; i >= 0; --i) {
stride[i] = (shape[i] > 1) ? cumprod : 0;
cumprod *= shape[i];
}
return stride;
}
/* Increment coordinates */
template <int ndim>
MSHADOW_XINLINE bool inc(Shape<ndim>* coord, const Shape<ndim>& shape) {
++(*coord)[ndim - 1];
#pragma unroll
for (int i = ndim - 1; i > 0 && (*coord)[i] >= shape[i]; --i) {
(*coord)[i] -= shape[i];
++(*coord)[i - 1];
}
return (*coord)[0] < shape[0];
}
/* Increment coordinates and modify index */
template <int ndim>
MSHADOW_XINLINE void inc(Shape<ndim>* coord,
const Shape<ndim>& shape,
index_t* idx,
const Shape<ndim>& stride) {
++(*coord)[ndim - 1];
*idx += stride[ndim - 1];
#pragma unroll
for (int i = ndim - 1; i > 0 && (*coord)[i] >= shape[i]; --i) {
(*coord)[i] -= shape[i];
++(*coord)[i - 1];
*idx = *idx + stride[i - 1] - shape[i] * stride[i];
}
}
/* Increment coordinates and modify index */
template <int ndim>
MSHADOW_XINLINE void inc(Shape<ndim>* coord,
const Shape<ndim>& shape,
index_t* idx1,
const Shape<ndim>& stride1,
index_t* idx2,
const Shape<ndim>& stride2) {
++(*coord)[ndim - 1];
*idx1 += stride1[ndim - 1];
*idx2 += stride2[ndim - 1];
#pragma unroll
for (int i = ndim - 1; i > 0 && (*coord)[i] >= shape[i]; --i) {
(*coord)[i] -= shape[i];
++(*coord)[i - 1];
*idx1 = *idx1 + stride1[i - 1] - shape[i] * stride1[i];
*idx2 = *idx2 + stride2[i - 1] - shape[i] * stride2[i];
}
}
/*!
* \brief Simple copy data from one blob to another
* \param to Destination blob
* \param from Source blob
*/
template <typename xpu>
MSHADOW_CINLINE void copy(mshadow::Stream<xpu>* s, const TBlob& to, const TBlob& from) {
CHECK_EQ(from.Size(), to.Size());
CHECK_EQ(from.dev_mask(), to.dev_mask());
MSHADOW_TYPE_SWITCH_EXT_WITH_BOOL(to.type_flag_, DType, {
if (to.type_flag_ == from.type_flag_) {
mshadow::Copy(to.FlatTo1D<xpu, DType>(s), from.FlatTo1D<xpu, DType>(s), s);
} else {
MSHADOW_TYPE_SWITCH_EXT_WITH_BOOL(from.type_flag_, SrcDType, {
to.FlatTo1D<xpu, DType>(s) = mshadow::expr::tcast<DType>(from.FlatTo1D<xpu, SrcDType>(s));
})
}
})
}
/*! \brief Binary op backward gradient OP wrapper */
template <typename GRAD_OP>
struct backward_grad {
/* \brief Backward calc with grad
* \param a - output grad
* \param args... - data to grad calculation op (what this is -- input, output, etc. -- varies)
* \return input grad
*/
template <typename DType, typename... Args>
MSHADOW_XINLINE static DType Map(DType a, Args... args) {
return DType(a * GRAD_OP::Map(args...));
}
};
template <typename OP, int req>
struct mixed_type_unary_op {
typedef OP Operation;
/*! \brief input is one tensor */
template <typename OType, typename IType>
MSHADOW_XINLINE static void Map(index_t i, OType* out, const IType* in) {
KERNEL_ASSIGN(out[i], req, OP::Map(OType(in[i])));
}
};
/*! \brief Binary op backward gradient OP wrapper (tuned) */
template <typename GRAD_OP>
struct backward_grad_tuned : public backward_grad<GRAD_OP>, public tunable {
using backward_grad<GRAD_OP>::Map;
};
/*! \brief Select assignment operation based upon the req value
* Also useful for mapping mshadow Compute (F<OP>) to Kernel<OP>::Launch
*/
template <typename OP, int req>
struct op_with_req {
typedef OP Operation;
/*! \brief input is one tensor */
template <typename DType>
MSHADOW_XINLINE static void Map(index_t i, DType* out, const DType* in) {
KERNEL_ASSIGN(out[i], req, OP::Map(in[i]));
}
/*! \brief inputs are two tensors */
template <typename DType>
MSHADOW_XINLINE static void Map(index_t i, DType* out, const DType* lhs, const DType* rhs) {
KERNEL_ASSIGN(out[i], req, OP::Map(lhs[i], rhs[i]));
}
/*! \brief input is tensor and a scalar value */
template <typename DType>
MSHADOW_XINLINE static void Map(index_t i, DType* out, const DType* in, const DType value) {
KERNEL_ASSIGN(out[i], req, OP::Map(in[i], value));
}
/*! \brief input is tensor and two scalar value */
template <typename DType>
MSHADOW_XINLINE static void Map(index_t i,
DType* out,
const DType* in,
const DType value_1,
const DType value_2) {
KERNEL_ASSIGN(out[i], req, OP::Map(in[i], value_1, value_2));
}
/*! \brief No inputs (ie fill to constant value) */
template <typename DType>
MSHADOW_XINLINE static void Map(index_t i, DType* out) {
KERNEL_ASSIGN(out[i], req, OP::Map());
}
/*! \brief input is single scalar value */
template <typename DType>
MSHADOW_XINLINE static void Map(index_t i, DType* out, const DType value) {
KERNEL_ASSIGN(out[i], req, OP::Map(value));
}
/*! \brief inputs are two tensors and a scalar value */
template <typename DType>
MSHADOW_XINLINE static void Map(index_t i,
DType* out,
const DType* input_1,
const DType* input_2,
const DType value) {
KERNEL_ASSIGN(out[i], req, OP::Map(input_1[i], input_2[i], value));
}
/*! \brief inputs are three tensors (ie backward grad with binary grad function) */
template <typename DType>
MSHADOW_XINLINE static void Map(index_t i,
DType* out,
const DType* input_1,
const DType* input_2,
const DType* input_3) {
KERNEL_ASSIGN(out[i], req, OP::Map(input_1[i], input_2[i], input_3[i]));
}
/*! \brief input is a tensor and the output is a boolean tensor */
template <typename DType,
typename std::enable_if<!std::is_same<DType, bool>::value, int>::type = 0>
MSHADOW_XINLINE static void Map(index_t i, bool* out, const DType* in) {
KERNEL_ASSIGN(out[i], req, OP::Map(in[i]));
}
/*! \brief inputs are two tensors with a boolean output tensor */
template <typename DType,
typename std::enable_if<!std::is_same<DType, bool>::value, int>::type = 0>
MSHADOW_XINLINE static void Map(index_t i, bool* out, const DType* lhs, const DType* rhs) {
KERNEL_ASSIGN(out[i], req, OP::Map(lhs[i], rhs[i]));
}
/*! \brief input is tensor and two scalar value with a boolean output tensor */
template <typename DType,
typename std::enable_if<!std::is_same<DType, bool>::value, int>::type = 0>
MSHADOW_XINLINE static void Map(index_t i, bool* out, const DType* in, const DType value) {
KERNEL_ASSIGN(out[i], req, OP::Map(in[i], value));
}
/*! \brief input is two tensors with different type and with a boolean output tensor */
template <typename LType,
typename RType,
typename std::enable_if<!std::is_same<LType, RType>::value, int>::type = 0>
MSHADOW_XINLINE static void Map(index_t i, bool* out, const LType* lhs, const RType* rhs) {
KERNEL_ASSIGN(out[i], req, OP::Map(lhs[i], rhs[i]));
}
/*! \brief inputs are two tensors with a half_t output tensor */
template <typename DType, typename std::enable_if<std::is_integral<DType>::value, int>::type = 0>
MSHADOW_XINLINE static void Map(index_t i,
mshadow::half::half_t* out,
const DType* lhs,
const mshadow::half::half_t* rhs) {
KERNEL_ASSIGN(out[i], req, OP::Map(lhs[i], rhs[i]));
}
/*! \brief inputs are two tensors with a float output tensor */
template <typename DType,
typename std::enable_if<std::is_same<DType, mshadow::half::half_t>::value ||
std::is_same<DType, mshadow::bfloat::bf16_t>::value ||
std::is_integral<DType>::value,
int>::type = 0>
MSHADOW_XINLINE static void Map(index_t i, float* out, const DType* lhs, const float* rhs) {
KERNEL_ASSIGN(out[i], req, OP::Map(lhs[i], rhs[i]));
}
/*! \brief inputs are two tensors with a double output tensor */
template <typename DType,
typename std::enable_if<std::is_same<DType, mshadow::half::half_t>::value ||
std::is_same<DType, mshadow::bfloat::bf16_t>::value ||
std::is_same<DType, float>::value ||
std::is_integral<DType>::value,
int>::type = 0>
MSHADOW_XINLINE static void Map(index_t i, double* out, const DType* lhs, const double* rhs) {
KERNEL_ASSIGN(out[i], req, OP::Map(lhs[i], rhs[i]));
}
/*! \brief inputs are two tensors with a half_t output tensor */
template <typename DType, typename std::enable_if<std::is_integral<DType>::value, int>::type = 0>
MSHADOW_XINLINE static void Map(index_t i,
mshadow::half::half_t* out,
const DType* lhs,
const mshadow::half::half_t value) {
KERNEL_ASSIGN(out[i], req, OP::Map(lhs[i], value));
}
/*! \brief inputs are two tensors with a float output tensor */
template <typename DType,
typename std::enable_if<std::is_same<DType, mshadow::half::half_t>::value ||
std::is_integral<DType>::value,
int>::type = 0>
MSHADOW_XINLINE static void Map(index_t i, float* out, const DType* lhs, const float value) {
KERNEL_ASSIGN(out[i], req, OP::Map(lhs[i], value));
}
/*! \brief inputs are two tensors with a double output tensor */
template <typename DType,
typename std::enable_if<std::is_same<DType, mshadow::half::half_t>::value ||
std::is_same<DType, float>::value ||
std::is_integral<DType>::value,
int>::type = 0>
MSHADOW_XINLINE static void Map(index_t i, double* out, const DType* lhs, const double value) {
KERNEL_ASSIGN(out[i], req, OP::Map(lhs[i], value));
}
/*! \brief inputs are two tensors with a float output tensor */
template <typename DType, typename std::enable_if<std::is_integral<DType>::value, int>::type = 0>
MSHADOW_XINLINE static void Map(index_t i, float* out, const DType* lhs, const DType* rhs) {
KERNEL_ASSIGN(out[i], req, OP::Map(lhs[i], rhs[i]));
}
/*! \brief input is a tensor and a scalar value with a float output tensor */
template <typename DType, typename std::enable_if<std::is_integral<DType>::value, int>::type = 0>
MSHADOW_XINLINE static void Map(index_t i, float* out, const DType* in, const DType value) {
KERNEL_ASSIGN(out[i], req, OP::Map(in[i], value));
}
};
template <typename OP, typename xpu>
struct Kernel;
/*!
* \brief CPU Kernel launcher
* \tparam OP Operator to launch
*/
template <typename OP>
struct Kernel<OP, cpu> {
/*!
* \brief Launch a generic CPU kernel.
* When using this for a new kernel op, add declaration and tuning objects to
* operator_tune.cc
* \tparam Args Varargs type to eventually pass to the OP::Map() function
* \param N Number of iterations
* \param args Varargs to eventually pass to the OP::Map() function
*/
template <typename... Args>
inline static bool Launch(mshadow::Stream<cpu>*, const size_t N, Args... args) {
#ifdef _OPENMP
const int omp_threads = engine::OpenMP::Get()->GetRecommendedOMPThreadCount();
if (omp_threads < 2) {
for (size_t i = 0; i < N; ++i) {
OP::Map(i, args...);
}
} else {
#pragma omp parallel for num_threads(omp_threads)
for (index_t i = 0; i < static_cast<index_t>(N); ++i) {
OP::Map(i, args...);
}
}
#else
for (size_t i = 0; i < N; ++i) {
OP::Map(i, args...);
}
#endif
return true;
}
/*!
* \brief Launch a generic CPU kernel with dynamic schedule. This is recommended
* for irregular workloads such as spmv.
* When using this for a new kernel op, add declaration and tuning objects to
* operator_tune.cc
* \tparam Args Varargs type to eventually pass to the OP::Map() function
* \param N Number of iterations
* \param args Varargs to eventually pass to the OP::Map() function
*/
template <typename... Args>
inline static bool LaunchDynamic(mshadow::Stream<cpu>*, const int64_t N, Args... args) {
#ifdef _OPENMP
const int omp_threads = engine::OpenMP::Get()->GetRecommendedOMPThreadCount(false);
if (omp_threads < 2) {
for (int64_t i = 0; i < N; ++i) {
OP::Map(i, args...);
}
} else {
#pragma omp parallel for num_threads(omp_threads) schedule(dynamic)
for (int64_t i = 0; i < N; ++i) {
OP::Map(i, args...);
}
}
#else
for (int64_t i = 0; i < N; ++i) {
OP::Map(i, args...);
}
#endif
return true;
}
/*!
* \brief Launch CPU kernel which has OMP tuning data available.
* When using this for a new kernel op, add declaration and tuning objects to
* operator_tune.cc
* \tparam PRIMITIVE_OP The primitive operation to use for tuning
* \tparam DType Data type
* \tparam Args Varargs type to eventually pass to the OP::Map() function
* \param N Number of iterations
* \param dest Destination pointer (used to infer DType)
* \param args Varargs to eventually pass to the OP::Map() function
*/
template <typename PRIMITIVE_OP, typename DType, typename... Args>
static void LaunchTuned(mshadow::Stream<cpu>*, const size_t N, Args... args) {
#ifdef _OPENMP
const int omp_threads = engine::OpenMP::Get()->GetRecommendedOMPThreadCount();
if (omp_threads < 2 ||
!tuned_op<PRIMITIVE_OP, DType>::UseOMP(N, static_cast<size_t>(omp_threads))) {
for (size_t i = 0; i < N; ++i) {
OP::Map(i, args...);
}
} else {
#pragma omp parallel for num_threads(omp_threads)
for (index_t i = 0; i < static_cast<index_t>(N); ++i) {
OP::Map(i, args...);
}
}
#else
for (size_t i = 0; i < N; ++i) {
OP::Map(i, args...);
}
#endif
}
/*!
* \brief Launch custom-tuned kernel where each thread is set to
* operate on a contiguous partition
* \tparam Args Varargs type to eventually pass to the OP::Map() function
* \param N Number of iterations
* \param args Varargs to eventually pass to the UseOMP() and OP::Map() functions
*/
template <typename... Args>
inline static void LaunchEx(mshadow::Stream<cpu>* s, const size_t N, Args... args) {
#ifdef _OPENMP
const int omp_threads = engine::OpenMP::Get()->GetRecommendedOMPThreadCount();
if (omp_threads < 2) {
OP::Map(0, N, args...);
} else {
const auto length = (N + omp_threads - 1) / omp_threads;
#pragma omp parallel for num_threads(omp_threads)
for (index_t i = 0; i < static_cast<index_t>(N); i += length) {
OP::Map(i, i + length > N ? N - i : length, args...);
}
}
#else
OP::Map(0, N, args...);
#endif
}
/*!
* \brief Launch a tunable OP with implicitly-supplied data type
* \tparam DType Data type
* \tparam T OP type
* \tparam Args Varargs type to eventually pass to the OP::Map() function
* \param s Stream (usually null for CPU)
* \param N Number of iterations
* \param args Varargs to eventually pass to the OP::Map() function
* \return Always true
*/
template <typename DType, typename T = OP, typename... Args>
static MSHADOW_CINLINE typename std::enable_if<std::is_base_of<tunable, T>::value, bool>::type
Launch(mshadow::Stream<cpu>* s, const size_t N, DType* dest, Args... args) {
LaunchTuned<T, DType>(s, N, dest, args...);
return true;
}
/*!
* \brief Launch a tunable OP wrapper with explicitly-supplied data type (ie op_with_req)
* \tparam DType Data type
* \tparam T Wrapper type
* \tparam Args Varargs type to eventually pass to the OP::Map() function
* \param s Stream (usually null for CPU)
* \param N Number of iterations
* \param args Varargs to eventually pass to the OP::Map() function
* \return Always true
*/
template <typename DType, typename T = OP, typename... Args>
static MSHADOW_CINLINE
typename std::enable_if<std::is_base_of<tunable, typename T::Operation>::value, bool>::type
Launch(mshadow::Stream<cpu>* s, const size_t N, DType* dest, Args... args) {
LaunchTuned<typename T::Operation, DType>(s, N, dest, args...);
return true;
}
};
#ifdef __CUDACC__
template <typename OP, typename... Args>
__global__ void mxnet_generic_kernel(int N, Args... args) {
for (int i = blockIdx.x * blockDim.x + threadIdx.x; i < N; i += blockDim.x * gridDim.x) {
OP::Map(i, args...);
}
}
template <typename OP, typename... Args>
__global__ void mxnet_generic_kernel_ex(int N, Args... args) {
for (int i = blockIdx.x * blockDim.x + threadIdx.x; i < N; i += blockDim.x * gridDim.x) {
OP::Map(i, 1, args...);
}
}
template <typename OP>
struct Kernel<OP, gpu> {
/*! \brief Launch GPU kernel */
template <typename... Args>
inline static void Launch(mshadow::Stream<gpu>* s, int N, Args... args) {
if (0 == N)
return;
using namespace mshadow::cuda;
int ngrid = std::min(kMaxGridNum, (N + kBaseThreadNum - 1) / kBaseThreadNum);
mxnet_generic_kernel<OP, Args...>
<<<ngrid, kBaseThreadNum, 0, mshadow::Stream<gpu>::GetStream(s)>>>(N, args...);
MSHADOW_CUDA_POST_KERNEL_CHECK(mxnet_generic_kernel);
}
template <typename... Args>
inline static void LaunchEx(mshadow::Stream<gpu>* s, const int N, Args... args) {
if (0 == N)
return;
using namespace mshadow::cuda;
int ngrid = std::min(kMaxGridNum, (N + kBaseThreadNum - 1) / kBaseThreadNum);
mxnet_generic_kernel_ex<OP, Args...>
<<<ngrid, kBaseThreadNum, 0, mshadow::Stream<gpu>::GetStream(s)>>>(N, args...);
MSHADOW_CUDA_POST_KERNEL_CHECK(mxnet_generic_kernel_ex);
}
};
#endif // __CUDACC__
/*!
* \brief Set to immediate scalar value kernel
* \tparam val Scalar immediate
*/
template <int val>
struct set_to_int : public tunable {
// mxnet_op version (when used directly with Kernel<>::Launch()) */
template <typename DType>
MSHADOW_XINLINE static void Map(index_t i, DType* out) {
out[i] = DType(val);
}
// mshadow_op version (when used with op_with_req<>)
MSHADOW_XINLINE static int Map() {
return val;
}
};
/*!
* \brief Special-case kernel shortcut for setting to zero and one
*/
using set_zero = set_to_int<0>;
using set_one = set_to_int<1>;
/*!
* \brief Set to immediate scalar value kernel
* \tparam val Scalar immediate
*/
template <bool val>
struct set_to_bool : public tunable {
// mxnet_op version (when used directly with Kernel<>::Launch()) */
template <typename DType>
MSHADOW_XINLINE static void Map(index_t i, DType* out) {
out[i] = DType(val);
}
// mshadow_op version (when used with op_with_req<>)
MSHADOW_XINLINE static int Map() {
return val;
}
};
/*!
* \brief Special-case kernel shortcut for setting to true and false
*/
using set_true = set_to_bool<true>;
using set_false = set_to_bool<false>;
} // namespace mxnet_op
} // namespace op
} // namespace mxnet
#endif // MXNET_OPERATOR_MXNET_OP_H_
|
comm.h | /*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
* under the License.
*/
/**
* Copyright (c) 2015 by Contributors
* Modifications Copyright (c) 2021 by Contributors at INET-RC
*/
#ifndef MXNET_KVSTORE_COMM_H_
#define MXNET_KVSTORE_COMM_H_
#include <dmlc/omp.h>
#include <string>
#include <algorithm>
#include <utility>
#include <limits>
#include <vector>
#include <tuple>
#include <thread>
#include "mxnet/ndarray.h"
#include "gradient_compression.h"
#include "../ndarray/ndarray_function.h"
#include "../operator/tensor/sparse_retain-inl.h"
#include "./kvstore_utils.h"
namespace mxnet {
namespace kvstore {
/**
* \brief multiple device commmunication
*/
class Comm {
public:
Comm() {
pinned_ctx_ = Context::CPUPinned(0);
}
virtual ~Comm() { }
/**
* \brief init key with the data shape and storage shape
*/
virtual void Init(int key, const NDArrayStorageType stype,
const TShape& shape, int dtype = mshadow::kFloat32) = 0;
/**
* \brief returns src[0] + .. + src[src.size()-1]
*/
virtual const NDArray& Reduce(
int key, const std::vector<NDArray>& src, int priority) = 0;
/**
* \brief copy from src to dst[i] for every i
*/
virtual void Broadcast(
int key, const NDArray& src,
const std::vector<NDArray*> dst, int priority) = 0;
/**
* \brief broadcast src to dst[i] with target row_ids for every i
* \param key the identifier key for the stored ndarray
* \param src the source row_sparse ndarray to broadcast
* \param dst a list of destination row_sparse NDArray and its target row_ids to broadcast,
where the row_ids are expected to be unique and sorted in row_id.data()
* \param priority the priority of the operation
*/
virtual void BroadcastRowSparse(int key, const NDArray& src,
const std::vector<std::pair<NDArray*, NDArray>>& dst,
const int priority) = 0;
/**
* \brief return a pinned contex
*/
Context pinned_ctx() const {
return pinned_ctx_;
}
/**
* \brief Sets gradient compression parameters to be able to
* perform reduce with compressed gradients
*/
void SetGradientCompression(std::shared_ptr<GradientCompression> gc) {
gc_ = gc;
}
protected:
Context pinned_ctx_;
std::shared_ptr<GradientCompression> gc_;
};
/**
* \brief an implemention of Comm that first copy data to CPU memeory, and then
* reduce there
*/
class CommCPU : public Comm {
public:
CommCPU() {
nthread_reduction_ = dmlc::GetEnv("MXNET_KVSTORE_REDUCTION_NTHREADS", 4);
bigarray_bound_ = dmlc::GetEnv("MXNET_KVSTORE_BIGARRAY_BOUND", 1000 * 1000);
// TODO(junwu) delete the following data member, now for benchmark only
is_serial_push_ = dmlc::GetEnv("MXNET_KVSTORE_SERIAL_PUSH", 0);
}
virtual ~CommCPU() { }
void Init(int key, const NDArrayStorageType stype, const TShape& shape,
int type = mshadow::kFloat32) override {
// Delayed allocation - the dense merged buffer might not be used at all if push()
// only sees sparse arrays
bool delay_alloc = true;
merge_buf_[key].merged = NDArray(shape, pinned_ctx_, delay_alloc, type);
}
const NDArray& Reduce(int key, const std::vector<NDArray>& src,
int priority) override {
auto& buf = merge_buf_[key];
const auto stype = src[0].storage_type();
// avoid extra copy for single device, but it may bring problems for
// abnormal usage of kvstore
if (src.size() == 1) {
if (stype == kDefaultStorage) {
return src[0];
} else {
// With 'local' kvstore, we could store the weight on CPU while compute
// the gradient on GPU when the weight is extremely large.
// To avoiding copying the weight to the same context of the gradient,
// we always copy the gradient to merged buf.
NDArray& merged = buf.merged_buf(stype);
CopyFromTo(src[0], &merged, priority);
return merged;
}
}
NDArray& buf_merged = buf.merged_buf(stype);
// normal dense reduce
if (stype == kDefaultStorage) {
std::vector<Engine::VarHandle> const_vars(src.size() - 1);
std::vector<NDArray> reduce(src.size());
CopyFromTo(src[0], &buf_merged, priority);
reduce[0] = buf_merged;
if (buf.copy_buf.empty()) {
buf.copy_buf.resize(src.size()-1);
for (size_t j = 0; j < src.size() - 1; ++j) {
// allocate copy buffer
buf.copy_buf[j] = NDArray(
src[0].shape(), pinned_ctx_, false, src[0].dtype());
}
}
CHECK(stype == buf.copy_buf[0].storage_type())
<< "Storage type mismatch detected. " << stype << "(src) vs. "
<< buf.copy_buf[0].storage_type() << "(buf.copy_buf)";
for (size_t i = 1; i < src.size(); ++i) {
CopyFromTo(src[i], &(buf.copy_buf[i-1]), priority);
reduce[i] = buf.copy_buf[i-1];
const_vars[i-1] = reduce[i].var();
}
Engine::Get()->PushAsync(
[reduce, this](RunContext rctx, Engine::CallbackOnComplete on_complete) {
ReduceSumCPU(reduce);
on_complete();
}, Context::CPU(), const_vars, {reduce[0].var()},
FnProperty::kCPUPrioritized, priority, "KVStoreReduce");
} else {
// sparse reduce
std::vector<Engine::VarHandle> const_vars(src.size());
std::vector<NDArray> reduce(src.size());
if (buf.copy_buf.empty()) {
buf.copy_buf.resize(src.size());
for (size_t j = 0; j < src.size(); ++j) {
buf.copy_buf[j] = NDArray(
src[0].storage_type(), src[0].shape(), pinned_ctx_, true, src[0].dtype());
}
}
CHECK(stype == buf.copy_buf[0].storage_type())
<< "Storage type mismatch detected. " << stype << "(src) vs. "
<< buf.copy_buf[0].storage_type() << "(buf.copy_buf)";
for (size_t i = 0; i < src.size(); ++i) {
CopyFromTo(src[i], &(buf.copy_buf[i]), priority);
reduce[i] = buf.copy_buf[i];
const_vars[i] = reduce[i].var();
}
Resource rsc = ResourceManager::Get()->Request(buf_merged.ctx(),
ResourceRequest(ResourceRequest::kTempSpace));
Engine::Get()->PushAsync(
[reduce, buf_merged, rsc, this](RunContext rctx, Engine::CallbackOnComplete on_complete) {
NDArray out = buf_merged;
is_serial_push_?
ReduceSumCPUExSerial(reduce, &out)
: mxnet::ndarray::ElementwiseSum(rctx.get_stream<cpu>(), rsc, reduce, &out);
on_complete();
}, Context::CPU(), const_vars, {buf_merged.var(), rsc.var},
FnProperty::kCPUPrioritized, priority, "KVStoreReduce");
}
return buf_merged;
}
void Broadcast(int key, const NDArray& src,
const std::vector<NDArray*> dst, int priority) override {
int mask = src.ctx().dev_mask();
if (mask == Context::kCPU) {
for (auto d : dst) CopyFromTo(src, d, priority);
} else {
// First copy data to pinned_ctx, then broadcast.
// Note that kv.init initializes the data on pinned_ctx.
// This branch indicates push() with ndarrays on gpus were called,
// and the source is copied to gpu ctx.
// Also indicates that buffers are already initialized during push().
auto& buf = merge_buf_[key].merged_buf(src.storage_type());
CopyFromTo(src, &buf, priority);
for (auto d : dst) CopyFromTo(buf, d, priority);
}
}
void BroadcastRowSparse(int key, const NDArray& src,
const std::vector<std::pair<NDArray*, NDArray>>& dst,
const int priority) override {
using namespace mshadow;
CHECK_EQ(src.storage_type(), kRowSparseStorage)
<< "BroadcastRowSparse expects row-sparse src NDArray";
CHECK_EQ(src.ctx().dev_mask(), Context::kCPU)
<< "BroadcastRowSparse with src on gpu context not supported";
for (const auto& dst_kv : dst) {
NDArray* out = dst_kv.first;
NDArray row_id = dst_kv.second;
CHECK_EQ(out->storage_type(), kRowSparseStorage)
<< "BroadcastRowSparse expects row_sparse dst NDArray";
CHECK_EQ(row_id.ctx().dev_mask(), Context::kCPU)
<< "BroadcastRowSparse with row_indices on gpu context not supported";
// retain according to unique indices
const bool is_same_ctx = out->ctx() == src.ctx();
const bool is_diff_var = out->var() != src.var();
NDArray retained_cpu = (is_same_ctx && is_diff_var) ? *out :
NDArray(kRowSparseStorage, src.shape(), src.ctx(), true,
src.dtype(), src.aux_types());
if (!is_diff_var) {
common::LogOnce("The output of row_sparse_pull() on key " + std::to_string(key) +
"refers to the same NDArray as the one stored in KVStore."
"Performing row_sparse_pull() with such output is going to change the "
"data stored in KVStore. Incorrect result may be generated "
"next time row_sparse_pull() is called. To avoid such an issue,"
"consider create a new NDArray buffer to store the output.");
}
Engine::Get()->PushAsync(
[=](RunContext rctx, Engine::CallbackOnComplete on_complete) {
const TBlob& indices = row_id.data();
NDArray temp = retained_cpu; // get rid the of const qualifier
op::SparseRetainOpForwardRspImpl<cpu>(rctx.get_stream<cpu>(),
src, indices, kWriteTo,
&temp);
on_complete();
}, Context::CPU(), {src.var(), row_id.var()}, {retained_cpu.var()},
FnProperty::kNormal, priority, "KVStoreSparseRetain");
// if retained_cpu == out, CopyFromTo will ignore the copy operation
CopyFromTo(retained_cpu, out, priority);
}
}
private:
// reduce sum into val[0]
inline void ReduceSumCPU(const std::vector<NDArray> &in_data) {
MSHADOW_TYPE_SWITCH(in_data[0].dtype(), DType, {
std::vector<DType*> dptr(in_data.size());
for (size_t i = 0; i < in_data.size(); ++i) {
TBlob data = in_data[i].data();
CHECK(data.CheckContiguous());
dptr[i] = data.FlatTo2D<cpu, DType>().dptr_;
}
size_t total = in_data[0].shape().Size();
ReduceSumCPUImpl(dptr, total);
});
}
// serial implementation of reduce sum for row sparse NDArray.
inline void ReduceSumCPUExSerial(const std::vector<NDArray> &in, NDArray *out) {
using namespace rowsparse;
using namespace mshadow;
auto stype = out->storage_type();
CHECK_EQ(stype, kRowSparseStorage) << "Unexpected storage type " << stype;
size_t total_num_rows = 0;
size_t num_in = in.size();
// skip the ones with empty indices and values
std::vector<bool> skip(num_in, false);
// the values tensor of the inputs
MSHADOW_TYPE_SWITCH(out->dtype(), DType, {
MSHADOW_IDX_TYPE_SWITCH(out->aux_type(kIdx), IType, {
std::vector<Tensor<cpu, 2, DType>> in_vals(num_in);
std::vector<Tensor<cpu, 1, IType>> in_indices(num_in);
// offset to the values tensor of all inputs
std::vector<size_t> offsets(num_in, 0);
std::vector<size_t> num_rows(num_in, 0);
for (size_t i = 0; i < num_in; i++) {
if (!in[i].storage_initialized()) {
skip[i] = true;
continue;
}
auto size = in[i].aux_shape(kIdx).Size();
num_rows[i] = size;
total_num_rows += size;
in_vals[i] = in[i].data().FlatTo2D<cpu, DType>();
in_indices[i] = in[i].aux_data(kIdx).FlatTo1D<cpu, IType>();
}
std::vector<IType> indices;
indices.reserve(total_num_rows);
// gather indices from all inputs
for (size_t i = 0; i < num_in; i++) {
for (size_t j = 0; j < num_rows[i]; j++) {
indices.emplace_back(in_indices[i][j]);
}
}
CHECK_EQ(indices.size(), total_num_rows);
// dedup indices
std::sort(indices.begin(), indices.end());
indices.resize(std::unique(indices.begin(), indices.end()) - indices.begin());
// the one left are unique non-zero rows
size_t nnr = indices.size();
// allocate memory for output
out->CheckAndAlloc({Shape1(nnr)});
auto idx_data = out->aux_data(kIdx).FlatTo1D<cpu, IType>();
auto val_data = out->data().FlatTo2D<cpu, DType>();
for (size_t i = 0; i < nnr; i++) {
// copy indices back
idx_data[i] = indices[i];
bool zeros = true;
for (size_t j = 0; j < num_in; j++) {
if (skip[j]) continue;
size_t offset = offsets[j];
if (offset < num_rows[j]) {
if (indices[i] == in_indices[j][offset]) {
if (zeros) {
Copy(val_data[i], in_vals[j][offset], nullptr);
zeros = false;
} else {
val_data[i] += in_vals[j][offset];
}
offsets[j] += 1;
}
}
}
}
});
});
}
template<typename DType>
inline static void ReduceSumCPU(
const std::vector<DType*> &dptr, size_t offset, index_t size) {
using namespace mshadow; // NOLINT(*)
Tensor<cpu, 1, DType> in_0(dptr[0] + offset, Shape1(size));
for (size_t i = 1; i < dptr.size(); i+=4) {
switch (dptr.size() - i) {
case 1: {
Tensor<cpu, 1, DType> in_1(dptr[i] + offset, Shape1(size));
in_0 += in_1;
break;
}
case 2: {
Tensor<cpu, 1, DType> in_1(dptr[i] + offset, Shape1(size));
Tensor<cpu, 1, DType> in_2(dptr[i+1] + offset, Shape1(size));
in_0 += in_1 + in_2;
break;
}
case 3: {
Tensor<cpu, 1, DType> in_1(dptr[i] + offset, Shape1(size));
Tensor<cpu, 1, DType> in_2(dptr[i+1] + offset, Shape1(size));
Tensor<cpu, 1, DType> in_3(dptr[i+2] + offset, Shape1(size));
in_0 += in_1 + in_2 + in_3;
break;
}
default: {
Tensor<cpu, 1, DType> in_1(dptr[i] + offset, Shape1(size));
Tensor<cpu, 1, DType> in_2(dptr[i+1] + offset, Shape1(size));
Tensor<cpu, 1, DType> in_3(dptr[i+2] + offset, Shape1(size));
Tensor<cpu, 1, DType> in_4(dptr[i+3] + offset, Shape1(size));
in_0 += in_1 + in_2 + in_3 + in_4;
break;
}
}
}
}
template<typename DType>
inline void ReduceSumCPUImpl(std::vector<DType*> dptr, size_t total) {
const size_t step = std::min(bigarray_bound_, static_cast<size_t>(4 << 10));
long ntask = (total + step - 1) / step; // NOLINT(*)
if (total < bigarray_bound_ || nthread_reduction_ <= 1) {
ReduceSumCPU(dptr, 0, total);
} else {
#pragma omp parallel for schedule(static) num_threads(nthread_reduction_)
for (long j = 0; j < ntask; ++j) { // NOLINT(*)
size_t k = static_cast<size_t>(j);
size_t begin = std::min(k * step, total);
size_t end = std::min((k + 1) * step, total);
if (j == ntask - 1) CHECK_EQ(end, total);
ReduceSumCPU(dptr, begin, static_cast<index_t>(end - begin));
}
}
}
/// \brief temporal space for pushing and pulling
struct BufferEntry {
/// \brief the merged value
NDArray merged;
/// \brief the cpu buffer for gpu data
std::vector<NDArray> copy_buf;
/// \brief the merged buffer for the given storage type
inline NDArray& merged_buf(NDArrayStorageType stype) {
if (stype == kDefaultStorage) {
return merged;
}
CHECK(stype == kRowSparseStorage) << "unexpected storage type " << stype;
// check if sparse_merged is initialized
if (sparse_merged.is_none()) {
CHECK(!merged.is_none());
sparse_merged = NDArray(kRowSparseStorage, merged.shape(), merged.ctx(),
true, merged.dtype());
}
return sparse_merged;
}
private:
/// \brief the sparse merged value
NDArray sparse_merged;
};
std::unordered_map<int, BufferEntry> merge_buf_;
size_t bigarray_bound_;
int nthread_reduction_;
bool is_serial_push_;
};
/**
* \brief an implementation of Comm that performs reduction on device
* directly.
*
* It is faster if the total device-to-device bandwidths is larger than
* device-to-cpu, which is often true for 4 or 8 GPUs. But it uses more device
* memory.
*/
class CommDevice : public Comm {
public:
CommDevice() {
inited_ = false;
}
virtual ~CommDevice() { }
void Init(int key, const NDArrayStorageType stype, const TShape& shape,
int dtype = mshadow::kFloat32) override {
sorted_key_attrs_.emplace_back(key, shape, dtype);
inited_ = false;
}
void InitBuffersAndComm(const std::vector<NDArray>& src) {
if (!inited_) {
std::vector<Context> devs;
for (const auto& a : src) {
devs.push_back(a.ctx());
}
InitMergeBuffer(devs);
if (dmlc::GetEnv("MXNET_ENABLE_GPU_P2P", 1)) {
EnableP2P(devs);
}
}
}
const NDArray& ReduceRowSparse(int key, const std::vector<NDArray>& src,
int priority) {
auto& buf = merge_buf_[key];
std::vector<NDArray> reduce(src.size());
const NDArrayStorageType stype = src[0].storage_type();
NDArray& buf_merged = buf.merged_buf(stype);
if (buf.copy_buf.empty()) {
// initialize buffer for copying during reduce
buf.copy_buf.resize(src.size());
for (size_t j = 0; j < src.size(); ++j) {
buf.copy_buf[j] = NDArray(stype, src[0].shape(), buf_merged.ctx(), true, src[0].dtype());
}
}
CHECK(src[0].storage_type() == buf.copy_buf[0].storage_type())
<< "Storage type mismatch detected. " << src[0].storage_type() << "(src) vs. "
<< buf.copy_buf[0].storage_type() << "(buf.copy_buf)";
for (size_t i = 0; i < src.size(); ++i) {
CopyFromTo(src[i], &(buf.copy_buf[i]), priority);
reduce[i] = buf.copy_buf[i];
}
ElementwiseSum(reduce, &buf_merged, priority);
return buf_merged;
}
const NDArray& Reduce(int key, const std::vector<NDArray>& src,
int priority) override {
// when this reduce is called from kvstore_dist, gc is not set
// we don't do compression twice in dist_sync_device
if ((gc_ != nullptr) && (gc_->get_type() != CompressionType::kNone)) {
return ReduceCompressed(key, src, priority);
}
// avoid extra copy for single device, but it may bring problems for
// abnormal usage of kvstore
if (src.size() == 1) {
return src[0];
}
InitBuffersAndComm(src);
auto& buf = merge_buf_[key];
const NDArrayStorageType stype = src[0].storage_type();
NDArray& buf_merged = buf.merged_buf(stype);
// normal dense reduce
if (stype == kDefaultStorage) {
CopyFromTo(src[0], &buf_merged, priority);
std::vector<NDArray> reduce(src.size());
reduce[0] = buf_merged;
if (buf.copy_buf.empty()) {
// TODO(mli) this results in large device memory usage for huge ndarray,
// such as the largest fullc in VGG. consider to do segment reduce with
// NDArray.Slice or gpu direct memory access. for the latter, we need to
// remove some ctx check, and also it reduces 20% perf
buf.copy_buf.resize(src.size()-1);
for (size_t i = 0; i < src.size()-1; ++i) {
buf.copy_buf[i] = NDArray(
buf_merged.shape(), buf_merged.ctx(), false, buf_merged.dtype());
}
}
for (size_t i = 0; i < src.size()-1; ++i) {
CopyFromTo(src[i+1], &(buf.copy_buf[i]), priority);
reduce[i+1] = buf.copy_buf[i];
}
ElementwiseSum(reduce, &buf_merged, priority);
} else {
// sparse reduce
buf_merged = ReduceRowSparse(key, src, priority);
}
return buf_merged;
}
const NDArray& ReduceCompressed(int key, const std::vector<NDArray>& src,
int priority) {
InitBuffersAndComm(src);
auto& buf = merge_buf_[key];
std::vector<NDArray> reduce(src.size());
if (buf.copy_buf.empty()) {
// one buf for each context
buf.copy_buf.resize(src.size());
buf.compressed_recv_buf.resize(src.size());
buf.compressed_send_buf.resize(src.size());
buf.residual.resize(src.size());
for (size_t i = 0; i < src.size(); ++i) {
buf.copy_buf[i] = NDArray(buf.merged.shape(), buf.merged.ctx(),
false, buf.merged.dtype());
buf.residual[i] = NDArray(buf.merged.shape(), src[i].ctx(),
false, buf.merged.dtype());
buf.residual[i] = 0;
int64_t small_size = gc_->GetCompressedSize(buf.merged.shape().Size());
buf.compressed_recv_buf[i] = NDArray(TShape{small_size}, buf.merged.ctx(),
false, buf.merged.dtype());
buf.compressed_send_buf[i] = NDArray(TShape{small_size}, src[i].ctx(),
false, buf.merged.dtype());
}
}
for (size_t i = 0; i < src.size(); ++i) {
// compress before copy
// this is done even if the data is on same context as copy_buf because
// we don't want the training to be biased towards data on this GPU
gc_->Quantize(src[i], &(buf.compressed_send_buf[i]), &(buf.residual[i]), priority);
if (buf.compressed_send_buf[i].ctx() != buf.compressed_recv_buf[i].ctx()) {
CopyFromTo(buf.compressed_send_buf[i], &(buf.compressed_recv_buf[i]), priority);
} else {
// avoid memory copy when they are on same context
buf.compressed_recv_buf[i] = buf.compressed_send_buf[i];
}
gc_->Dequantize(buf.compressed_recv_buf[i], &(buf.copy_buf[i]), priority);
reduce[i] = buf.copy_buf[i];
}
ElementwiseSum(reduce, &buf.merged);
return buf.merged;
}
void Broadcast(int key, const NDArray& src,
const std::vector<NDArray*> dst, int priority) override {
if (!inited_) {
// copy to a random device first
int dev_id = key % dst.size();
CopyFromTo(src, dst[dev_id], priority);
for (size_t i = 0; i < dst.size(); ++i) {
if (i != static_cast<size_t>(dev_id)) {
CopyFromTo(*dst[dev_id], dst[i], priority);
}
}
} else {
auto& buf_merged = merge_buf_[key].merged_buf(src.storage_type());
CopyFromTo(src, &buf_merged, priority);
for (auto d : dst) {
CopyFromTo(buf_merged, d, priority);
}
}
}
void BroadcastRowSparse(int key, const NDArray& src,
const std::vector<std::pair<NDArray*, NDArray>>& dst,
const int priority) override {
CHECK_EQ(src.storage_type(), kRowSparseStorage)
<< "BroadcastRowSparse expects row-sparse src NDArray";
for (const auto& dst_kv : dst) {
NDArray* out = dst_kv.first;
NDArray row_id = dst_kv.second;
CHECK_EQ(out->storage_type(), kRowSparseStorage)
<< "BroadcastRowSparse expects row_sparse dst NDArray";
CHECK_EQ(row_id.ctx(), src.ctx())
<< "row_id and src are expected to be on the same context";
// retain according to indices
const bool is_same_ctx = out->ctx() == src.ctx();
const bool is_diff_var = out->var() != src.var();
NDArray retained_gpu = (is_same_ctx && is_diff_var) ? *out :
NDArray(kRowSparseStorage, out->shape(), src.ctx(), true,
out->dtype(), out->aux_types());
if (!is_diff_var) {
common::LogOnce("The output of row_sparse_pull() on key " + std::to_string(key) +
"refers to the same NDArray as the one stored in KVStore."
"Performing row_sparse_pull() with such output is going to change the "
"data stored in KVStore. Incorrect result may be generated "
"next time row_sparse_pull() is called. To avoid such an issue,"
"consider create a new NDArray buffer to store the output.");
}
bool is_gpu = retained_gpu.ctx().dev_mask() == gpu::kDevMask;
Engine::Get()->PushAsync([=](RunContext rctx, Engine::CallbackOnComplete on_complete) {
const TBlob& indices = row_id.data();
using namespace mxnet::common;
NDArray temp = retained_gpu;
switch (temp.ctx().dev_mask()) {
case cpu::kDevMask: {
SparseRetainOpForwardRspWrapper<cpu>(rctx.get_stream<cpu>(),
src, indices, kWriteTo, &temp);
break;
}
#if MXNET_USE_CUDA
case gpu::kDevMask: {
SparseRetainOpForwardRspWrapper<gpu>(rctx.get_stream<gpu>(),
src, indices, kWriteTo, &temp);
// wait for GPU operations to complete
rctx.get_stream<gpu>()->Wait();
break;
}
#endif
default: LOG(FATAL) << MXNET_GPU_NOT_ENABLED_ERROR;
}
on_complete();
}, retained_gpu.ctx(), {src.var(), row_id.var()}, {retained_gpu.var()},
is_gpu ? FnProperty::kGPUPrioritized : FnProperty::kCPUPrioritized,
priority, "KVStoreSparseRetain");
CopyFromTo(retained_gpu, out, priority);
}
}
using KeyAttrs = std::tuple<int, TShape, int>;
// try to allocate buff on device evenly
void InitMergeBuffer(const std::vector<Context>& devs) {
std::sort(sorted_key_attrs_.begin(), sorted_key_attrs_.end(), [](
const KeyAttrs& a, const KeyAttrs& b) {
return std::get<1>(a).Size() > std::get<1>(b).Size();
});
std::unordered_map<int, std::pair<Context, size_t>> ctx_info;
for (auto d : devs) {
ctx_info[d.dev_id] = std::make_pair(d, 0);
}
for (auto& sorted_key_attr : sorted_key_attrs_) {
const int key = std::get<0>(sorted_key_attr);
const TShape& shape = std::get<1>(sorted_key_attr);
const int type = std::get<2>(sorted_key_attr);
auto& buf = merge_buf_[key];
Context ctx;
size_t min_size = std::numeric_limits<size_t>::max();
for (auto& ctx_info_kv : ctx_info) {
size_t size = ctx_info_kv.second.second;
if (size <= min_size) {
ctx = ctx_info_kv.second.first;
min_size = size;
}
}
// Delayed allocation - as the dense merged buffer might not be used at all if push()
// only sees sparse arrays
if (buf.merged.is_none()) {
bool delay_alloc = true;
buf.merged = NDArray(shape, ctx, delay_alloc, type);
}
ctx_info[ctx.dev_id].second += shape.Size();
}
inited_ = true;
}
private:
void EnableP2P(const std::vector<Context>& devs) {
#if MXNET_USE_CUDA
std::vector<int> gpus;
for (const auto& d : devs) {
if (d.dev_mask() == gpu::kDevMask) {
gpus.push_back(d.dev_id);
}
}
int n = static_cast<int>(gpus.size());
int enabled = 0;
std::vector<int> p2p(n*n);
// Restores active device to what it was before EnableP2P
mxnet::common::cuda::DeviceStore device_store;
for (int i = 0; i < n; ++i) {
device_store.SetDevice(gpus[i]);
for (int j = 0; j < n; j++) {
int access;
cudaDeviceCanAccessPeer(&access, gpus[i], gpus[j]);
if (access) {
cudaError_t e = cudaDeviceEnablePeerAccess(gpus[j], 0);
if (e == cudaSuccess || e == cudaErrorPeerAccessAlreadyEnabled) {
++enabled;
p2p[i*n+j] = 1;
}
}
}
}
if (enabled != n*(n-1)) {
// print warning info if not fully enabled
LOG(WARNING) << "only " << enabled << " out of "
<< n*(n-1) << " GPU pairs are enabled direct access. "
<< "It may affect the performance. "
<< "You can set MXNET_ENABLE_GPU_P2P=0 to turn it off";
std::string access(n, '.');
for (int i = 0; i < n; ++i) {
for (int j = 0; j < n; ++j) {
access[j] = p2p[i*n+j] ? 'v' : '.';
}
LOG(WARNING) << access;
}
}
#endif
}
/// \brief temporal space for pushing and pulling
struct BufferEntry {
/// \brief the dense merged value for reduce and broadcast operations
NDArray merged;
/// \brief the gpu buffer for copy during reduce operation
std::vector<NDArray> copy_buf;
/// \brief the residual buffer for gradient compression
std::vector<NDArray> residual;
/// \brief the small buffer for compressed data in sender
std::vector<NDArray> compressed_send_buf;
/// \brief the small buffer for compressed data in receiver
std::vector<NDArray> compressed_recv_buf;
/// \brief the merged buffer for the given storage type (could be either dense or row_sparse)
inline NDArray& merged_buf(NDArrayStorageType stype) {
if (stype == kDefaultStorage) {
CHECK(!merged.is_none()) << "unintialized merge buffer detected";
return merged;
}
CHECK(stype == kRowSparseStorage) << "unexpected storage type " << stype;
// check if sparse_merged is initialized
if (sparse_merged.is_none()) {
CHECK(!merged.is_none());
sparse_merged = NDArray(kRowSparseStorage, merged.shape(), merged.ctx(),
true, merged.dtype());
}
return sparse_merged;
}
private:
/// \brief the sparse merged value for reduce and rowsparse broadcast operations
NDArray sparse_merged;
};
std::unordered_map<int, BufferEntry> merge_buf_;
public:
bool inited_;
std::vector<KeyAttrs> sorted_key_attrs_;
};
} // namespace kvstore
} // namespace mxnet
#endif // MXNET_KVSTORE_COMM_H_
|
fx.c | /*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% FFFFF X X %
% F X X %
% FFF X %
% F X X %
% F X X %
% %
% %
% MagickCore Image Special Effects Methods %
% %
% Software Design %
% Cristy %
% October 1996 %
% %
% %
% %
% Copyright 1999-2021 ImageMagick Studio LLC, a non-profit organization %
% dedicated to making software imaging solutions freely available. %
% %
% You may not use this file except in compliance with the License. You may %
% obtain a copy of the License at %
% %
% https://imagemagick.org/script/license.php %
% %
% Unless required by applicable law or agreed to in writing, software %
% distributed under the License is distributed on an "AS IS" BASIS, %
% WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. %
% See the License for the specific language governing permissions and %
% limitations under the License. %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
%
%
*/
/*
Include declarations.
*/
#include "MagickCore/studio.h"
#include "MagickCore/accelerate-private.h"
#include "MagickCore/annotate.h"
#include "MagickCore/artifact.h"
#include "MagickCore/attribute.h"
#include "MagickCore/cache.h"
#include "MagickCore/cache-view.h"
#include "MagickCore/channel.h"
#include "MagickCore/color.h"
#include "MagickCore/color-private.h"
#include "MagickCore/colorspace-private.h"
#include "MagickCore/composite.h"
#include "MagickCore/decorate.h"
#include "MagickCore/distort.h"
#include "MagickCore/draw.h"
#include "MagickCore/effect.h"
#include "MagickCore/enhance.h"
#include "MagickCore/exception.h"
#include "MagickCore/exception-private.h"
#include "MagickCore/fx.h"
#include "MagickCore/fx-private.h"
#include "MagickCore/gem.h"
#include "MagickCore/gem-private.h"
#include "MagickCore/geometry.h"
#include "MagickCore/layer.h"
#include "MagickCore/list.h"
#include "MagickCore/log.h"
#include "MagickCore/image.h"
#include "MagickCore/image-private.h"
#include "MagickCore/magick.h"
#include "MagickCore/memory_.h"
#include "MagickCore/memory-private.h"
#include "MagickCore/monitor.h"
#include "MagickCore/monitor-private.h"
#include "MagickCore/option.h"
#include "MagickCore/pixel.h"
#include "MagickCore/pixel-accessor.h"
#include "MagickCore/property.h"
#include "MagickCore/quantum.h"
#include "MagickCore/quantum-private.h"
#include "MagickCore/random_.h"
#include "MagickCore/random-private.h"
#include "MagickCore/resample.h"
#include "MagickCore/resample-private.h"
#include "MagickCore/resize.h"
#include "MagickCore/resource_.h"
#include "MagickCore/splay-tree.h"
#include "MagickCore/statistic.h"
#include "MagickCore/string_.h"
#include "MagickCore/string-private.h"
#include "MagickCore/thread-private.h"
#include "MagickCore/threshold.h"
#include "MagickCore/token.h"
#include "MagickCore/transform.h"
#include "MagickCore/transform-private.h"
#include "MagickCore/utility.h"
/*
Typedef declarations.
*/
typedef enum
{
BitwiseAndAssignmentOperator = 0xd9U,
BitwiseOrAssignmentOperator,
LeftShiftAssignmentOperator,
RightShiftAssignmentOperator,
PowerAssignmentOperator,
ModuloAssignmentOperator,
PlusAssignmentOperator,
SubtractAssignmentOperator,
MultiplyAssignmentOperator,
DivideAssignmentOperator,
IncrementAssignmentOperator,
DecrementAssignmentOperator,
LeftShiftOperator,
RightShiftOperator,
LessThanEqualOperator,
GreaterThanEqualOperator,
EqualOperator,
NotEqualOperator,
LogicalAndOperator,
LogicalOrOperator,
ExponentialNotation
} FxOperator;
struct _FxInfo
{
const Image
*images;
char
*expression;
FILE
*file;
SplayTreeInfo
*colors,
*symbols;
CacheView
**view;
RandomInfo
*random_info;
ExceptionInfo
*exception;
};
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ A c q u i r e F x I n f o %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AcquireFxInfo() allocates the FxInfo structure.
%
% The format of the AcquireFxInfo method is:
%
% FxInfo *AcquireFxInfo(Image *images,const char *expression,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o images: the image sequence.
%
% o expression: the expression.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickPrivate FxInfo *AcquireFxInfo(const Image *images,const char *expression,
ExceptionInfo *exception)
{
const Image
*next;
FxInfo
*fx_info;
ssize_t
i;
unsigned char
fx_op[2];
fx_info=(FxInfo *) AcquireCriticalMemory(sizeof(*fx_info));
(void) memset(fx_info,0,sizeof(*fx_info));
fx_info->exception=AcquireExceptionInfo();
fx_info->images=images;
fx_info->colors=NewSplayTree(CompareSplayTreeString,RelinquishMagickMemory,
RelinquishMagickMemory);
fx_info->symbols=NewSplayTree(CompareSplayTreeString,RelinquishMagickMemory,
RelinquishMagickMemory);
fx_info->view=(CacheView **) AcquireQuantumMemory(GetImageListLength(
fx_info->images),sizeof(*fx_info->view));
if (fx_info->view == (CacheView **) NULL)
ThrowFatalException(ResourceLimitFatalError,"MemoryAllocationFailed");
i=0;
next=GetFirstImageInList(fx_info->images);
for ( ; next != (Image *) NULL; next=next->next)
{
fx_info->view[i]=AcquireVirtualCacheView(next,exception);
i++;
}
fx_info->random_info=AcquireRandomInfo();
fx_info->expression=ConstantString(expression);
fx_info->file=stderr;
/*
Convert compound to simple operators.
*/
fx_op[1]='\0';
*fx_op=(unsigned char) BitwiseAndAssignmentOperator;
(void) SubstituteString(&fx_info->expression,"&=",(char *) fx_op);
*fx_op=(unsigned char) BitwiseOrAssignmentOperator;
(void) SubstituteString(&fx_info->expression,"|=",(char *) fx_op);
*fx_op=(unsigned char) LeftShiftAssignmentOperator;
(void) SubstituteString(&fx_info->expression,"<<=",(char *) fx_op);
*fx_op=(unsigned char) RightShiftAssignmentOperator;
(void) SubstituteString(&fx_info->expression,">>=",(char *) fx_op);
*fx_op=(unsigned char) PowerAssignmentOperator;
(void) SubstituteString(&fx_info->expression,"^=",(char *) fx_op);
*fx_op=(unsigned char) ModuloAssignmentOperator;
(void) SubstituteString(&fx_info->expression,"%=",(char *) fx_op);
*fx_op=(unsigned char) PlusAssignmentOperator;
(void) SubstituteString(&fx_info->expression,"+=",(char *) fx_op);
*fx_op=(unsigned char) SubtractAssignmentOperator;
(void) SubstituteString(&fx_info->expression,"-=",(char *) fx_op);
*fx_op=(unsigned char) MultiplyAssignmentOperator;
(void) SubstituteString(&fx_info->expression,"*=",(char *) fx_op);
*fx_op=(unsigned char) DivideAssignmentOperator;
(void) SubstituteString(&fx_info->expression,"/=",(char *) fx_op);
*fx_op=(unsigned char) IncrementAssignmentOperator;
(void) SubstituteString(&fx_info->expression,"++",(char *) fx_op);
*fx_op=(unsigned char) DecrementAssignmentOperator;
(void) SubstituteString(&fx_info->expression,"--",(char *) fx_op);
*fx_op=(unsigned char) LeftShiftOperator;
(void) SubstituteString(&fx_info->expression,"<<",(char *) fx_op);
*fx_op=(unsigned char) RightShiftOperator;
(void) SubstituteString(&fx_info->expression,">>",(char *) fx_op);
*fx_op=(unsigned char) LessThanEqualOperator;
(void) SubstituteString(&fx_info->expression,"<=",(char *) fx_op);
*fx_op=(unsigned char) GreaterThanEqualOperator;
(void) SubstituteString(&fx_info->expression,">=",(char *) fx_op);
*fx_op=(unsigned char) EqualOperator;
(void) SubstituteString(&fx_info->expression,"==",(char *) fx_op);
*fx_op=(unsigned char) NotEqualOperator;
(void) SubstituteString(&fx_info->expression,"!=",(char *) fx_op);
*fx_op=(unsigned char) LogicalAndOperator;
(void) SubstituteString(&fx_info->expression,"&&",(char *) fx_op);
*fx_op=(unsigned char) LogicalOrOperator;
(void) SubstituteString(&fx_info->expression,"||",(char *) fx_op);
*fx_op=(unsigned char) ExponentialNotation;
(void) SubstituteString(&fx_info->expression,"**",(char *) fx_op);
/*
Force right-to-left associativity for unary negation.
*/
(void) SubstituteString(&fx_info->expression,"-","-1.0*");
(void) SubstituteString(&fx_info->expression,"^-1.0*","^-");
(void) SubstituteString(&fx_info->expression,"E-1.0*","E-");
(void) SubstituteString(&fx_info->expression,"e-1.0*","e-");
(void) SubstituteString(&fx_info->expression," ",""); /* compact string */
return(fx_info);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ D e s t r o y F x I n f o %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% DestroyFxInfo() deallocates memory associated with an FxInfo structure.
%
% The format of the DestroyFxInfo method is:
%
% ImageInfo *DestroyFxInfo(ImageInfo *fx_info)
%
% A description of each parameter follows:
%
% o fx_info: the fx info.
%
*/
MagickPrivate FxInfo *DestroyFxInfo(FxInfo *fx_info)
{
ssize_t
i;
fx_info->exception=DestroyExceptionInfo(fx_info->exception);
fx_info->expression=DestroyString(fx_info->expression);
fx_info->symbols=DestroySplayTree(fx_info->symbols);
fx_info->colors=DestroySplayTree(fx_info->colors);
for (i=(ssize_t) GetImageListLength(fx_info->images)-1; i >= 0; i--)
fx_info->view[i]=DestroyCacheView(fx_info->view[i]);
fx_info->view=(CacheView **) RelinquishMagickMemory(fx_info->view);
fx_info->random_info=DestroyRandomInfo(fx_info->random_info);
fx_info=(FxInfo *) RelinquishMagickMemory(fx_info);
return(fx_info);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ F x E v a l u a t e C h a n n e l E x p r e s s i o n %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% FxEvaluateChannelExpression() evaluates an expression and returns the
% results.
%
% The format of the FxEvaluateExpression method is:
%
% double FxEvaluateChannelExpression(FxInfo *fx_info,
% const PixelChannel channel,const ssize_t x,const ssize_t y,
% double *alpha,Exceptioninfo *exception)
% double FxEvaluateExpression(FxInfo *fx_info,
% double *alpha,Exceptioninfo *exception)
%
% A description of each parameter follows:
%
% o fx_info: the fx info.
%
% o channel: the channel.
%
% o x,y: the pixel position.
%
% o alpha: the result.
%
% o exception: return any errors or warnings in this structure.
%
*/
static inline const double *GetFxSymbolValue(FxInfo *magick_restrict fx_info,
const char *symbol)
{
return((const double *) GetValueFromSplayTree(fx_info->symbols,symbol));
}
static inline MagickBooleanType SetFxSymbolValue(
FxInfo *magick_restrict fx_info,const char *magick_restrict symbol,
double const value)
{
double
*object;
object=(double *) GetValueFromSplayTree(fx_info->symbols,symbol);
if (object != (double *) NULL)
{
*object=value;
return(MagickTrue);
}
object=(double *) AcquireMagickMemory(sizeof(*object));
if (object == (double *) NULL)
{
(void) ThrowMagickException(fx_info->exception,GetMagickModule(),
ResourceLimitError,"MemoryAllocationFailed","`%s'",
fx_info->images->filename);
return(MagickFalse);
}
*object=value;
return(AddValueToSplayTree(fx_info->symbols,ConstantString(symbol),object));
}
static double FxChannelStatistics(FxInfo *fx_info,Image *image,
PixelChannel channel,const char *symbol,ExceptionInfo *exception)
{
ChannelType
channel_mask;
char
key[MagickPathExtent];
const double
*value;
double
statistic;
const char
*p;
channel_mask=UndefinedChannel;
for (p=symbol; (*p != '.') && (*p != '\0'); p++) ;
if (*p == '.')
{
ssize_t
option;
option=ParseCommandOption(MagickPixelChannelOptions,MagickTrue,p+1);
if (option >= 0)
{
channel=(PixelChannel) option;
channel_mask=SetPixelChannelMask(image,(ChannelType)
(1UL << channel));
}
}
(void) FormatLocaleString(key,MagickPathExtent,"%p.%.20g.%s",(void *) image,
(double) channel,symbol);
value=GetFxSymbolValue(fx_info,key);
if (value != (const double *) NULL)
{
if (channel_mask != UndefinedChannel)
(void) SetPixelChannelMask(image,channel_mask);
return(QuantumScale*(*value));
}
statistic=0.0;
if (LocaleNCompare(symbol,"depth",5) == 0)
{
size_t
depth;
depth=GetImageDepth(image,exception);
statistic=(double) depth;
}
if (LocaleNCompare(symbol,"kurtosis",8) == 0)
{
double
kurtosis,
skewness;
(void) GetImageKurtosis(image,&kurtosis,&skewness,exception);
statistic=kurtosis;
}
if (LocaleNCompare(symbol,"maxima",6) == 0)
{
double
maxima,
minima;
(void) GetImageRange(image,&minima,&maxima,exception);
statistic=maxima;
}
if (LocaleNCompare(symbol,"mean",4) == 0)
{
double
mean,
standard_deviation;
(void) GetImageMean(image,&mean,&standard_deviation,exception);
statistic=mean;
}
if (LocaleNCompare(symbol,"median",6) == 0)
{
double
median;
(void) GetImageMedian(image,&median,exception);
statistic=median;
}
if (LocaleNCompare(symbol,"minima",6) == 0)
{
double
maxima,
minima;
(void) GetImageRange(image,&minima,&maxima,exception);
statistic=minima;
}
if (LocaleNCompare(symbol,"skewness",8) == 0)
{
double
kurtosis,
skewness;
(void) GetImageKurtosis(image,&kurtosis,&skewness,exception);
statistic=skewness;
}
if (LocaleNCompare(symbol,"standard_deviation",18) == 0)
{
double
mean,
standard_deviation;
(void) GetImageMean(image,&mean,&standard_deviation,exception);
statistic=standard_deviation;
}
if (channel_mask != UndefinedChannel)
(void) SetPixelChannelMask(image,channel_mask);
if (SetFxSymbolValue(fx_info,key,statistic) == MagickFalse)
return(0.0);
return(QuantumScale*statistic);
}
static double
FxEvaluateSubexpression(FxInfo *,const PixelChannel,const ssize_t,
const ssize_t,const char *,const size_t,double *,ExceptionInfo *);
static inline MagickBooleanType IsFxFunction(const char *expression,
const char *name,const size_t length)
{
int
c;
size_t
i;
for (i=0; i <= length; i++)
if (expression[i] == '\0')
return(MagickFalse);
c=expression[length];
if ((LocaleNCompare(expression,name,length) == 0) &&
((isspace((int) ((unsigned char) c)) == 0) || (c == '(')))
return(MagickTrue);
return(MagickFalse);
}
static inline double FxGCD(const double alpha,const double beta,
const size_t depth)
{
#define FxMaxFunctionDepth 200
if (alpha < beta)
return(FxGCD(beta,alpha,depth+1));
if ((fabs(beta) < 0.001) || (depth >= FxMaxFunctionDepth))
return(alpha);
return(FxGCD(beta,alpha-beta*floor(alpha/beta),depth+1));
}
static inline const char *FxSubexpression(const char *expression,
ExceptionInfo *exception)
{
const char
*subexpression;
ssize_t
level;
level=0;
subexpression=expression;
while ((*subexpression != '\0') &&
((level != 1) || (strchr(")",(int) *subexpression) == (char *) NULL)))
{
if (strchr("(",(int) *subexpression) != (char *) NULL)
level++;
else
if (strchr(")",(int) *subexpression) != (char *) NULL)
level--;
subexpression++;
}
if (*subexpression == '\0')
(void) ThrowMagickException(exception,GetMagickModule(),OptionError,
"UnbalancedParenthesis","`%s'",expression);
return(subexpression);
}
static double FxGetSymbol(FxInfo *fx_info,const PixelChannel channel,
const ssize_t x,const ssize_t y,const char *expression,const size_t depth,
ExceptionInfo *exception)
{
char
*q,
symbol[MagickPathExtent];
const char
*artifact,
*p;
const double
*value;
double
alpha,
beta;
Image
*image;
MagickBooleanType
status;
PixelInfo
pixel;
PointInfo
point;
ssize_t
i;
size_t
level;
p=expression;
i=GetImageIndexInList(fx_info->images);
level=0;
point.x=(double) x;
point.y=(double) y;
if (isalpha((int) ((unsigned char) *(p+1))) == 0)
{
char
*subexpression;
subexpression=AcquireString(expression);
if (strchr("suv",(int) *p) != (char *) NULL)
{
switch (*p)
{
case 's':
default:
{
i=GetImageIndexInList(fx_info->images);
break;
}
case 'u': i=0; break;
case 'v': i=1; break;
}
p++;
if (*p == '[')
{
level++;
q=subexpression;
for (p++; *p != '\0'; )
{
if (*p == '[')
level++;
else
if (*p == ']')
{
level--;
if (level == 0)
break;
}
*q++=(*p++);
}
*q='\0';
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,subexpression,
depth,&beta,exception);
i=(ssize_t) alpha;
if (*p != '\0')
p++;
}
if (*p == '.')
p++;
}
if ((*p == 'p') && (isalpha((int) ((unsigned char) *(p+1))) == 0))
{
p++;
if (*p == '{')
{
level++;
q=subexpression;
for (p++; *p != '\0'; )
{
if (*p == '{')
level++;
else
if (*p == '}')
{
level--;
if (level == 0)
break;
}
*q++=(*p++);
}
*q='\0';
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,subexpression,
depth,&beta,exception);
point.x=alpha;
point.y=beta;
if (*p != '\0')
p++;
}
else
if (*p == '[')
{
level++;
q=subexpression;
for (p++; *p != '\0'; )
{
if (*p == '[')
level++;
else
if (*p == ']')
{
level--;
if (level == 0)
break;
}
*q++=(*p++);
}
*q='\0';
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,subexpression,
depth,&beta,exception);
point.x+=alpha;
point.y+=beta;
if (*p != '\0')
p++;
}
if (*p == '.')
p++;
}
subexpression=DestroyString(subexpression);
}
image=GetImageFromList(fx_info->images,i);
if (image == (Image *) NULL)
{
(void) ThrowMagickException(exception,GetMagickModule(),OptionError,
"NoSuchImage","`%s'",expression);
return(0.0);
}
i=GetImageIndexInList(image);
GetPixelInfo(image,&pixel);
status=InterpolatePixelInfo(image,fx_info->view[i],image->interpolate,
point.x,point.y,&pixel,exception);
(void) status;
if ((*p != '\0') && (*(p+1) != '\0') && (*(p+2) != '\0') &&
(LocaleCompare(p,"intensity") != 0) && (LocaleCompare(p,"luma") != 0) &&
(LocaleCompare(p,"luminance") != 0) && (LocaleCompare(p,"hue") != 0) &&
(LocaleCompare(p,"saturation") != 0) &&
(LocaleCompare(p,"lightness") != 0))
{
char
name[MagickPathExtent];
size_t
length;
(void) CopyMagickString(name,p,MagickPathExtent);
length=strlen(name);
for (q=name+length-1; q > name; q--)
{
if (*q == ')')
break;
if (*q == '.')
{
*q='\0';
break;
}
}
q=name;
if ((*q != '\0') && (*(q+1) != '\0') && (*(q+2) != '\0') &&
(GetFxSymbolValue(fx_info,name) == (const double *) NULL))
{
PixelInfo
*color;
color=(PixelInfo *) GetValueFromSplayTree(fx_info->colors,name);
if (color != (PixelInfo *) NULL)
{
pixel=(*color);
p+=length;
}
else
{
status=QueryColorCompliance(name,AllCompliance,&pixel,
fx_info->exception);
if (status != MagickFalse)
{
(void) AddValueToSplayTree(fx_info->colors,
ConstantString(name),ClonePixelInfo(&pixel));
p+=length;
}
}
}
}
(void) CopyMagickString(symbol,p,MagickPathExtent);
(void) StripMagickString(symbol);
if (*symbol == '\0')
{
switch (channel)
{
case RedPixelChannel: return(QuantumScale*pixel.red);
case GreenPixelChannel: return(QuantumScale*pixel.green);
case BluePixelChannel: return(QuantumScale*pixel.blue);
case BlackPixelChannel:
{
if (image->colorspace != CMYKColorspace)
{
(void) ThrowMagickException(exception,GetMagickModule(),
ImageError,"ColorSeparatedImageRequired","`%s'",
image->filename);
return(0.0);
}
return(QuantumScale*pixel.black);
}
case AlphaPixelChannel:
{
if (pixel.alpha_trait == UndefinedPixelTrait)
return(1.0);
alpha=(double) (QuantumScale*pixel.alpha);
return(alpha);
}
case CompositePixelChannel:
{
Quantum
quantum_pixel[MaxPixelChannels];
SetPixelViaPixelInfo(image,&pixel,quantum_pixel);
return(QuantumScale*GetPixelIntensity(image,quantum_pixel));
}
case IndexPixelChannel:
return(0.0);
default:
break;
}
(void) ThrowMagickException(exception,GetMagickModule(),OptionError,
"UnableToParseExpression","`%s'",p);
return(0.0);
}
switch (*symbol)
{
case 'A':
case 'a':
{
if (LocaleCompare(symbol,"a") == 0)
return((QuantumScale*pixel.alpha));
break;
}
case 'B':
case 'b':
{
if (LocaleCompare(symbol,"b") == 0)
return(QuantumScale*pixel.blue);
break;
}
case 'C':
case 'c':
{
if (IsFxFunction(symbol,"channel",7) != MagickFalse)
{
GeometryInfo
channel_info;
MagickStatusType
flags;
flags=ParseGeometry(symbol+7,&channel_info);
if (image->colorspace == CMYKColorspace)
switch (channel)
{
case CyanPixelChannel:
{
if ((flags & RhoValue) == 0)
return(0.0);
return(channel_info.rho);
}
case MagentaPixelChannel:
{
if ((flags & SigmaValue) == 0)
return(0.0);
return(channel_info.sigma);
}
case YellowPixelChannel:
{
if ((flags & XiValue) == 0)
return(0.0);
return(channel_info.xi);
}
case BlackPixelChannel:
{
if ((flags & PsiValue) == 0)
return(0.0);
return(channel_info.psi);
}
case AlphaPixelChannel:
{
if ((flags & ChiValue) == 0)
return(0.0);
return(channel_info.chi);
}
default:
return(0.0);
}
switch (channel)
{
case RedPixelChannel:
{
if ((flags & RhoValue) == 0)
return(0.0);
return(channel_info.rho);
}
case GreenPixelChannel:
{
if ((flags & SigmaValue) == 0)
return(0.0);
return(channel_info.sigma);
}
case BluePixelChannel:
{
if ((flags & XiValue) == 0)
return(0.0);
return(channel_info.xi);
}
case BlackPixelChannel:
{
if ((flags & ChiValue) == 0)
return(0.0);
return(channel_info.chi);
}
case AlphaPixelChannel:
{
if ((flags & PsiValue) == 0)
return(0.0);
return(channel_info.psi);
}
default:
return(0.0);
}
}
if (LocaleCompare(symbol,"c") == 0)
return(QuantumScale*pixel.red);
break;
}
case 'D':
case 'd':
{
if (LocaleNCompare(symbol,"depth",5) == 0)
return(FxChannelStatistics(fx_info,image,channel,symbol,exception));
break;
}
case 'E':
case 'e':
{
if (LocaleCompare(symbol,"extent") == 0)
{
if (image->extent != 0)
return((double) image->extent);
return((double) GetBlobSize(image));
}
break;
}
case 'G':
case 'g':
{
if (LocaleCompare(symbol,"g") == 0)
return(QuantumScale*pixel.green);
break;
}
case 'K':
case 'k':
{
if (LocaleNCompare(symbol,"kurtosis",8) == 0)
return(FxChannelStatistics(fx_info,image,channel,symbol,exception));
if (LocaleCompare(symbol,"k") == 0)
{
if (image->colorspace != CMYKColorspace)
{
(void) ThrowMagickException(exception,GetMagickModule(),
OptionError,"ColorSeparatedImageRequired","`%s'",
image->filename);
return(0.0);
}
return(QuantumScale*pixel.black);
}
break;
}
case 'H':
case 'h':
{
if (LocaleCompare(symbol,"h") == 0)
return((double) image->rows);
if (LocaleCompare(symbol,"hue") == 0)
{
double
hue,
lightness,
saturation;
ConvertRGBToHSL(pixel.red,pixel.green,pixel.blue,&hue,&saturation,
&lightness);
return(hue);
}
break;
}
case 'I':
case 'i':
{
if ((LocaleCompare(symbol,"image.depth") == 0) ||
(LocaleCompare(symbol,"image.minima") == 0) ||
(LocaleCompare(symbol,"image.maxima") == 0) ||
(LocaleCompare(symbol,"image.mean") == 0) ||
(LocaleCompare(symbol,"image.kurtosis") == 0) ||
(LocaleCompare(symbol,"image.skewness") == 0) ||
(LocaleCompare(symbol,"image.standard_deviation") == 0))
return(FxChannelStatistics(fx_info,image,channel,symbol+6,exception));
if (LocaleCompare(symbol,"image.resolution.x") == 0)
return(image->resolution.x);
if (LocaleCompare(symbol,"image.resolution.y") == 0)
return(image->resolution.y);
if (LocaleCompare(symbol,"intensity") == 0)
{
Quantum
quantum_pixel[MaxPixelChannels];
SetPixelViaPixelInfo(image,&pixel,quantum_pixel);
return(QuantumScale*GetPixelIntensity(image,quantum_pixel));
}
if (LocaleCompare(symbol,"i") == 0)
return((double) x);
break;
}
case 'J':
case 'j':
{
if (LocaleCompare(symbol,"j") == 0)
return((double) y);
break;
}
case 'L':
case 'l':
{
if (LocaleCompare(symbol,"lightness") == 0)
{
double
hue,
lightness,
saturation;
ConvertRGBToHSL(pixel.red,pixel.green,pixel.blue,&hue,&saturation,
&lightness);
return(lightness);
}
if (LocaleCompare(symbol,"luma") == 0)
{
double
luma;
luma=0.212656*pixel.red+0.715158*pixel.green+0.072186*pixel.blue;
return(QuantumScale*luma);
}
if (LocaleCompare(symbol,"luminance") == 0)
{
double
luminence;
luminence=0.212656*pixel.red+0.715158*pixel.green+0.072186*pixel.blue;
return(QuantumScale*luminence);
}
break;
}
case 'M':
case 'm':
{
if (LocaleNCompare(symbol,"maxima",6) == 0)
return(FxChannelStatistics(fx_info,image,channel,symbol,exception));
if (LocaleNCompare(symbol,"mean",4) == 0)
return(FxChannelStatistics(fx_info,image,channel,symbol,exception));
if (LocaleNCompare(symbol,"median",6) == 0)
return(FxChannelStatistics(fx_info,image,channel,symbol,exception));
if (LocaleNCompare(symbol,"minima",6) == 0)
return(FxChannelStatistics(fx_info,image,channel,symbol,exception));
if (LocaleCompare(symbol,"m") == 0)
return(QuantumScale*pixel.green);
break;
}
case 'N':
case 'n':
{
if (LocaleCompare(symbol,"n") == 0)
return((double) GetImageListLength(fx_info->images));
break;
}
case 'O':
case 'o':
{
if (LocaleCompare(symbol,"o") == 0)
return(QuantumScale*pixel.alpha);
break;
}
case 'P':
case 'p':
{
if (LocaleCompare(symbol,"page.height") == 0)
return((double) image->page.height);
if (LocaleCompare(symbol,"page.width") == 0)
return((double) image->page.width);
if (LocaleCompare(symbol,"page.x") == 0)
return((double) image->page.x);
if (LocaleCompare(symbol,"page.y") == 0)
return((double) image->page.y);
if (LocaleCompare(symbol,"printsize.x") == 0)
return(PerceptibleReciprocal(image->resolution.x)*image->columns);
if (LocaleCompare(symbol,"printsize.y") == 0)
return(PerceptibleReciprocal(image->resolution.y)*image->rows);
break;
}
case 'Q':
case 'q':
{
if (LocaleCompare(symbol,"quality") == 0)
return((double) image->quality);
break;
}
case 'R':
case 'r':
{
if (LocaleCompare(symbol,"resolution.x") == 0)
return(image->resolution.x);
if (LocaleCompare(symbol,"resolution.y") == 0)
return(image->resolution.y);
if (LocaleCompare(symbol,"r") == 0)
return(QuantumScale*pixel.red);
break;
}
case 'S':
case 's':
{
if (LocaleCompare(symbol,"saturation") == 0)
{
double
hue,
lightness,
saturation;
ConvertRGBToHSL(pixel.red,pixel.green,pixel.blue,&hue,&saturation,
&lightness);
return(saturation);
}
if (LocaleNCompare(symbol,"skewness",8) == 0)
return(FxChannelStatistics(fx_info,image,channel,symbol,exception));
if (LocaleNCompare(symbol,"standard_deviation",18) == 0)
return(FxChannelStatistics(fx_info,image,channel,symbol,exception));
break;
}
case 'T':
case 't':
{
if (LocaleCompare(symbol,"t") == 0)
return((double) GetImageIndexInList(fx_info->images));
break;
}
case 'W':
case 'w':
{
if (LocaleCompare(symbol,"w") == 0)
return((double) image->columns);
break;
}
case 'Y':
case 'y':
{
if (LocaleCompare(symbol,"y") == 0)
return(QuantumScale*pixel.blue);
break;
}
case 'Z':
case 'z':
{
if (LocaleCompare(symbol,"z") == 0)
return((double) GetImageDepth(image,fx_info->exception));
break;
}
default:
break;
}
value=GetFxSymbolValue(fx_info,symbol);
if (value != (const double *) NULL)
return(*value);
artifact=GetImageArtifact(image,symbol);
if (artifact != (const char *) NULL)
return(StringToDouble(artifact,(char **) NULL));
(void) ThrowMagickException(exception,GetMagickModule(),OptionError,
"UndefinedVariable","`%s'",symbol);
(void) SetFxSymbolValue(fx_info,symbol,0.0);
return(0.0);
}
static const char *FxOperatorPrecedence(const char *expression,
ExceptionInfo *exception)
{
typedef enum
{
UndefinedPrecedence,
NullPrecedence,
BitwiseComplementPrecedence,
ExponentPrecedence,
ExponentialNotationPrecedence,
MultiplyPrecedence,
AdditionPrecedence,
ShiftPrecedence,
RelationalPrecedence,
EquivalencyPrecedence,
BitwiseAndPrecedence,
BitwiseOrPrecedence,
LogicalAndPrecedence,
LogicalOrPrecedence,
TernaryPrecedence,
AssignmentPrecedence,
CommaPrecedence,
SeparatorPrecedence
} FxPrecedence;
FxPrecedence
precedence,
target;
const char
*subexpression;
int
c;
size_t
level;
c=(-1);
level=0;
subexpression=(const char *) NULL;
target=NullPrecedence;
while ((c != '\0') && (*expression != '\0'))
{
precedence=UndefinedPrecedence;
if ((isspace((int) ((unsigned char) *expression)) != 0) || (c == (int) '@'))
{
expression++;
continue;
}
switch (*expression)
{
case 'A':
case 'a':
{
#if defined(MAGICKCORE_HAVE_ACOSH)
if (IsFxFunction(expression,"acosh",5) != MagickFalse)
{
expression+=5;
break;
}
#endif
#if defined(MAGICKCORE_HAVE_ASINH)
if (IsFxFunction(expression,"asinh",5) != MagickFalse)
{
expression+=5;
break;
}
#endif
#if defined(MAGICKCORE_HAVE_ATANH)
if (IsFxFunction(expression,"atanh",5) != MagickFalse)
{
expression+=5;
break;
}
#endif
if (IsFxFunction(expression,"atan2",5) != MagickFalse)
{
expression+=5;
break;
}
break;
}
case 'E':
case 'e':
{
if ((isdigit((int) ((unsigned char) c)) != 0) &&
((LocaleNCompare(expression,"E+",2) == 0) ||
(LocaleNCompare(expression,"E-",2) == 0)))
{
expression+=2; /* scientific notation */
break;
}
}
case 'J':
case 'j':
{
if ((IsFxFunction(expression,"j0",2) != MagickFalse) ||
(IsFxFunction(expression,"j1",2) != MagickFalse))
{
expression+=2;
break;
}
break;
}
case '#':
{
while (isxdigit((int) ((unsigned char) *(expression+1))) != 0)
expression++;
break;
}
default:
break;
}
if ((c == (int) '{') || (c == (int) '['))
level++;
else
if ((c == (int) '}') || (c == (int) ']'))
level--;
if (level == 0)
switch ((unsigned char) *expression)
{
case '~':
case '!':
{
precedence=BitwiseComplementPrecedence;
break;
}
case '^':
case '@':
{
precedence=ExponentPrecedence;
break;
}
default:
{
if (((c != 0) && ((isdigit((int) ((unsigned char) c)) != 0) ||
(strchr(")",c) != (char *) NULL))) &&
(((islower((int) ((unsigned char) *expression)) != 0) ||
(strchr("(",(int) ((unsigned char) *expression)) != (char *) NULL)) ||
((isdigit((int) ((unsigned char) c)) == 0) &&
(isdigit((int) ((unsigned char) *expression)) != 0))) &&
(strchr("xy",(int) ((unsigned char) *expression)) == (char *) NULL))
precedence=MultiplyPrecedence;
break;
}
case '*':
case '/':
case '%':
{
precedence=MultiplyPrecedence;
break;
}
case '+':
case '-':
{
if ((strchr("(+-/*%:&^|<>~,",c) == (char *) NULL) ||
(isalpha((int) ((unsigned char) c)) != 0))
precedence=AdditionPrecedence;
break;
}
case BitwiseAndAssignmentOperator:
case BitwiseOrAssignmentOperator:
case LeftShiftAssignmentOperator:
case RightShiftAssignmentOperator:
case PowerAssignmentOperator:
case ModuloAssignmentOperator:
case PlusAssignmentOperator:
case SubtractAssignmentOperator:
case MultiplyAssignmentOperator:
case DivideAssignmentOperator:
case IncrementAssignmentOperator:
case DecrementAssignmentOperator:
{
precedence=AssignmentPrecedence;
break;
}
case LeftShiftOperator:
case RightShiftOperator:
{
precedence=ShiftPrecedence;
break;
}
case '<':
case LessThanEqualOperator:
case GreaterThanEqualOperator:
case '>':
{
precedence=RelationalPrecedence;
break;
}
case EqualOperator:
case NotEqualOperator:
{
precedence=EquivalencyPrecedence;
break;
}
case '&':
{
precedence=BitwiseAndPrecedence;
break;
}
case '|':
{
precedence=BitwiseOrPrecedence;
break;
}
case LogicalAndOperator:
{
precedence=LogicalAndPrecedence;
break;
}
case LogicalOrOperator:
{
precedence=LogicalOrPrecedence;
break;
}
case ExponentialNotation:
{
precedence=ExponentialNotationPrecedence;
break;
}
case ':':
case '?':
{
precedence=TernaryPrecedence;
break;
}
case '=':
{
precedence=AssignmentPrecedence;
break;
}
case ',':
{
precedence=CommaPrecedence;
break;
}
case ';':
{
precedence=SeparatorPrecedence;
break;
}
}
if ((precedence == BitwiseComplementPrecedence) ||
(precedence == TernaryPrecedence) ||
(precedence == AssignmentPrecedence))
{
if (precedence > target)
{
/*
Right-to-left associativity.
*/
target=precedence;
subexpression=expression;
}
}
else
if (precedence >= target)
{
/*
Left-to-right associativity.
*/
target=precedence;
subexpression=expression;
}
if (strchr("(",(int) *expression) != (char *) NULL)
expression=FxSubexpression(expression,exception);
c=(int) (*expression++);
}
return(subexpression);
}
static double FxEvaluateSubexpression(FxInfo *fx_info,
const PixelChannel channel,const ssize_t x,const ssize_t y,
const char *expression,const size_t depth,double *beta,
ExceptionInfo *exception)
{
#define FxMaxParenthesisDepth 58
#define FxMaxSubexpressionDepth 200
#define FxReturn(value) \
{ \
subexpression=DestroyString(subexpression); \
return(value); \
}
#define FxParseConditional(subexpression,sentinal,p,q) \
{ \
p=subexpression; \
for (q=(char *) p; (*q != (sentinal)) && (*q != '\0'); q++) \
if (*q == '(') \
{ \
for (q++; (*q != ')') && (*q != '\0'); q++); \
if (*q == '\0') \
break; \
} \
if (*q == '\0') \
{ \
(void) ThrowMagickException(exception,GetMagickModule(), \
OptionError,"UnableToParseExpression","`%s'",subexpression); \
FxReturn(0.0); \
} \
if (strlen(q) == 1) \
*(q+1)='\0'; \
*q='\0'; \
}
char
*q,
*subexpression;
double
alpha,
gamma,
sans,
value;
const char
*p;
*beta=0.0;
sans=0.0;
subexpression=AcquireString(expression);
*subexpression='\0';
if (depth > FxMaxSubexpressionDepth)
{
(void) ThrowMagickException(exception,GetMagickModule(),OptionError,
"UnableToParseExpression","`%s'",expression);
FxReturn(0.0);
}
if (exception->severity >= ErrorException)
FxReturn(0.0);
while (isspace((int) ((unsigned char) *expression)) != 0)
expression++;
if (*expression == '\0')
FxReturn(0.0);
p=FxOperatorPrecedence(expression,exception);
if (p != (const char *) NULL)
{
(void) CopyMagickString(subexpression,expression,(size_t)
(p-expression+1));
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,subexpression,depth+1,
beta,exception);
switch ((unsigned char) *p)
{
case '~':
{
*beta=FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,beta,
exception);
*beta=(double) (~(size_t) *beta);
FxReturn(*beta);
}
case '!':
{
*beta=FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,beta,
exception);
FxReturn(*beta == 0.0 ? 1.0 : 0.0);
}
case '^':
{
*beta=pow(alpha,FxEvaluateSubexpression(fx_info,channel,x,y,++p,
depth+1,beta,exception));
FxReturn(*beta);
}
case '*':
case ExponentialNotation:
{
*beta=FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,beta,
exception);
FxReturn(alpha*(*beta));
}
case '/':
{
*beta=FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,beta,
exception);
FxReturn(PerceptibleReciprocal(*beta)*alpha);
}
case '%':
{
*beta=FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,beta,
exception);
FxReturn(fmod(alpha,*beta));
}
case '+':
{
*beta=FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,beta,
exception);
FxReturn(alpha+(*beta));
}
case '-':
{
*beta=FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,beta,
exception);
FxReturn(alpha-(*beta));
}
case BitwiseAndAssignmentOperator:
{
q=subexpression;
while (isalpha((int) ((unsigned char) *q)) != 0)
q++;
if (*q != '\0')
{
(void) ThrowMagickException(exception,GetMagickModule(),
OptionError,"UnableToParseExpression","`%s'",subexpression);
FxReturn(0.0);
}
ClearMagickException(exception);
*beta=FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,beta,
exception);
value=(double) ((size_t) (alpha+0.5) & (size_t) (*beta+0.5));
if (SetFxSymbolValue(fx_info,subexpression,value) == MagickFalse)
return(0.0);
FxReturn(*beta);
}
case BitwiseOrAssignmentOperator:
{
q=subexpression;
while (isalpha((int) ((unsigned char) *q)) != 0)
q++;
if (*q != '\0')
{
(void) ThrowMagickException(exception,GetMagickModule(),
OptionError,"UnableToParseExpression","`%s'",subexpression);
FxReturn(0.0);
}
ClearMagickException(exception);
*beta=FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,beta,
exception);
value=(double) ((size_t) (alpha+0.5) | (size_t) (*beta+0.5));
if (SetFxSymbolValue(fx_info,subexpression,value) == MagickFalse)
return(0.0);
FxReturn(*beta);
}
case LeftShiftAssignmentOperator:
{
q=subexpression;
while (isalpha((int) ((unsigned char) *q)) != 0)
q++;
if (*q != '\0')
{
(void) ThrowMagickException(exception,GetMagickModule(),
OptionError,"UnableToParseExpression","`%s'",subexpression);
FxReturn(0.0);
}
ClearMagickException(exception);
*beta=FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,beta,
exception);
if ((size_t) (*beta+0.5) >= (8*sizeof(size_t)))
{
(void) ThrowMagickException(exception,GetMagickModule(),
OptionError,"ShiftCountOverflow","`%s'",subexpression);
FxReturn(0.0);
}
value=(double) ((size_t) (alpha+0.5) << (size_t) (*beta+0.5));
if (SetFxSymbolValue(fx_info,subexpression,value) == MagickFalse)
return(0.0);
FxReturn(*beta);
}
case RightShiftAssignmentOperator:
{
q=subexpression;
while (isalpha((int) ((unsigned char) *q)) != 0)
q++;
if (*q != '\0')
{
(void) ThrowMagickException(exception,GetMagickModule(),
OptionError,"UnableToParseExpression","`%s'",subexpression);
FxReturn(0.0);
}
ClearMagickException(exception);
*beta=FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,beta,
exception);
if ((size_t) (*beta+0.5) >= (8*sizeof(size_t)))
{
(void) ThrowMagickException(exception,GetMagickModule(),
OptionError,"ShiftCountOverflow","`%s'",subexpression);
FxReturn(0.0);
}
value=(double) ((size_t) (alpha+0.5) >> (size_t) (*beta+0.5));
if (SetFxSymbolValue(fx_info,subexpression,value) == MagickFalse)
return(0.0);
FxReturn(*beta);
}
case PowerAssignmentOperator:
{
q=subexpression;
while (isalpha((int) ((unsigned char) *q)) != 0)
q++;
if (*q != '\0')
{
(void) ThrowMagickException(exception,GetMagickModule(),
OptionError,"UnableToParseExpression","`%s'",subexpression);
FxReturn(0.0);
}
ClearMagickException(exception);
*beta=FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,beta,
exception);
value=pow(alpha,*beta);
if (SetFxSymbolValue(fx_info,subexpression,value) == MagickFalse)
return(0.0);
FxReturn(*beta);
}
case ModuloAssignmentOperator:
{
q=subexpression;
while (isalpha((int) ((unsigned char) *q)) != 0)
q++;
if (*q != '\0')
{
(void) ThrowMagickException(exception,GetMagickModule(),
OptionError,"UnableToParseExpression","`%s'",subexpression);
FxReturn(0.0);
}
ClearMagickException(exception);
*beta=FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,beta,
exception);
value=fmod(alpha,*beta);
if (SetFxSymbolValue(fx_info,subexpression,value) == MagickFalse)
return(0.0);
FxReturn(*beta);
}
case PlusAssignmentOperator:
{
q=subexpression;
while (isalpha((int) ((unsigned char) *q)) != 0)
q++;
if (*q != '\0')
{
(void) ThrowMagickException(exception,GetMagickModule(),
OptionError,"UnableToParseExpression","`%s'",subexpression);
FxReturn(0.0);
}
ClearMagickException(exception);
*beta=FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,beta,
exception);
value=alpha+(*beta);
if (SetFxSymbolValue(fx_info,subexpression,value) == MagickFalse)
return(0.0);
FxReturn(*beta);
}
case SubtractAssignmentOperator:
{
q=subexpression;
while (isalpha((int) ((unsigned char) *q)) != 0)
q++;
if (*q != '\0')
{
(void) ThrowMagickException(exception,GetMagickModule(),
OptionError,"UnableToParseExpression","`%s'",subexpression);
FxReturn(0.0);
}
ClearMagickException(exception);
*beta=FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,beta,
exception);
value=alpha-(*beta);
if (SetFxSymbolValue(fx_info,subexpression,value) == MagickFalse)
return(0.0);
FxReturn(*beta);
}
case MultiplyAssignmentOperator:
{
q=subexpression;
while (isalpha((int) ((unsigned char) *q)) != 0)
q++;
if (*q != '\0')
{
(void) ThrowMagickException(exception,GetMagickModule(),
OptionError,"UnableToParseExpression","`%s'",subexpression);
FxReturn(0.0);
}
ClearMagickException(exception);
*beta=FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,beta,
exception);
value=alpha*(*beta);
if (SetFxSymbolValue(fx_info,subexpression,value) == MagickFalse)
return(0.0);
FxReturn(*beta);
}
case DivideAssignmentOperator:
{
q=subexpression;
while (isalpha((int) ((unsigned char) *q)) != 0)
q++;
if (*q != '\0')
{
(void) ThrowMagickException(exception,GetMagickModule(),
OptionError,"UnableToParseExpression","`%s'",subexpression);
FxReturn(0.0);
}
ClearMagickException(exception);
*beta=FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,beta,
exception);
value=alpha*PerceptibleReciprocal(*beta);
if (SetFxSymbolValue(fx_info,subexpression,value) == MagickFalse)
return(0.0);
FxReturn(*beta);
}
case IncrementAssignmentOperator:
{
if (*subexpression == '\0')
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,beta,
exception);
value=alpha+1.0;
if (*subexpression == '\0')
{
if (SetFxSymbolValue(fx_info,p,value) == MagickFalse)
return(0.0);
}
else
if (SetFxSymbolValue(fx_info,subexpression,value) == MagickFalse)
return(0.0);
FxReturn(*beta);
}
case DecrementAssignmentOperator:
{
if (*subexpression == '\0')
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,beta,
exception);
value=alpha-1.0;
if (*subexpression == '\0')
{
if (SetFxSymbolValue(fx_info,p,value) == MagickFalse)
return(0.0);
}
else
if (SetFxSymbolValue(fx_info,subexpression,value) == MagickFalse)
return(0.0);
FxReturn(*beta);
}
case LeftShiftOperator:
{
gamma=FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,beta,
exception);
if ((size_t) (gamma+0.5) >= (8*sizeof(size_t)))
{
(void) ThrowMagickException(exception,GetMagickModule(),
OptionError,"ShiftCountOverflow","`%s'",subexpression);
FxReturn(0.0);
}
*beta=(double) ((size_t) (alpha+0.5) << (size_t) (gamma+0.5));
FxReturn(*beta);
}
case RightShiftOperator:
{
gamma=FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,beta,
exception);
if ((size_t) (gamma+0.5) >= (8*sizeof(size_t)))
{
(void) ThrowMagickException(exception,GetMagickModule(),
OptionError,"ShiftCountOverflow","`%s'",subexpression);
FxReturn(0.0);
}
*beta=(double) ((size_t) (alpha+0.5) >> (size_t) (gamma+0.5));
FxReturn(*beta);
}
case '<':
{
*beta=FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,beta,
exception);
FxReturn(alpha < *beta ? 1.0 : 0.0);
}
case LessThanEqualOperator:
{
*beta=FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,beta,
exception);
FxReturn(alpha <= *beta ? 1.0 : 0.0);
}
case '>':
{
*beta=FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,beta,
exception);
FxReturn(alpha > *beta ? 1.0 : 0.0);
}
case GreaterThanEqualOperator:
{
*beta=FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,beta,
exception);
FxReturn(alpha >= *beta ? 1.0 : 0.0);
}
case EqualOperator:
{
*beta=FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,beta,
exception);
FxReturn(fabs(alpha-(*beta)) < MagickEpsilon ? 1.0 : 0.0);
}
case NotEqualOperator:
{
*beta=FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,beta,
exception);
FxReturn(fabs(alpha-(*beta)) >= MagickEpsilon ? 1.0 : 0.0);
}
case '&':
{
gamma=FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,beta,
exception);
*beta=(double) ((size_t) (alpha+0.5) & (size_t) (gamma+0.5));
FxReturn(*beta);
}
case '|':
{
gamma=FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,beta,
exception);
*beta=(double) ((size_t) (alpha+0.5) | (size_t) (gamma+0.5));
FxReturn(*beta);
}
case LogicalAndOperator:
{
p++;
if (alpha <= 0.0)
{
*beta=0.0;
FxReturn(*beta);
}
gamma=FxEvaluateSubexpression(fx_info,channel,x,y,p,depth+1,beta,
exception);
*beta=(gamma > 0.0) ? 1.0 : 0.0;
FxReturn(*beta);
}
case LogicalOrOperator:
{
p++;
if (alpha > 0.0)
{
*beta=1.0;
FxReturn(*beta);
}
gamma=FxEvaluateSubexpression(fx_info,channel,x,y,p,depth+1,beta,
exception);
*beta=(gamma > 0.0) ? 1.0 : 0.0;
FxReturn(*beta);
}
case '?':
{
(void) CopyMagickString(subexpression,++p,MagickPathExtent-1);
FxParseConditional(subexpression,':',p,q);
if (fabs(alpha) >= MagickEpsilon)
gamma=FxEvaluateSubexpression(fx_info,channel,x,y,p,depth+1,beta,
exception);
else
gamma=FxEvaluateSubexpression(fx_info,channel,x,y,q+1,depth+1,beta,
exception);
FxReturn(gamma);
}
case '=':
{
q=subexpression;
while (isalpha((int) ((unsigned char) *q)) != 0)
q++;
if (*q != '\0')
{
(void) ThrowMagickException(exception,GetMagickModule(),
OptionError,"UnableToParseExpression","`%s'",subexpression);
FxReturn(0.0);
}
ClearMagickException(exception);
*beta=FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,beta,
exception);
value=(*beta);
if (SetFxSymbolValue(fx_info,subexpression,value) == MagickFalse)
return(0.0);
FxReturn(*beta);
}
case ',':
{
*beta=FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,beta,
exception);
FxReturn(alpha);
}
case ';':
{
*beta=FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,beta,
exception);
FxReturn(*beta);
}
default:
{
gamma=alpha*FxEvaluateSubexpression(fx_info,channel,x,y,++p,depth+1,
beta,exception);
FxReturn(gamma);
}
}
}
if (strchr("(",(int) *expression) != (char *) NULL)
{
size_t
length;
if (depth >= FxMaxParenthesisDepth)
(void) ThrowMagickException(exception,GetMagickModule(),OptionError,
"ParenthesisNestedTooDeeply","`%s'",expression);
length=CopyMagickString(subexpression,expression+1,MagickPathExtent);
if (length != 0)
subexpression[length-1]='\0';
gamma=FxEvaluateSubexpression(fx_info,channel,x,y,subexpression,depth+1,
beta,exception);
FxReturn(gamma);
}
switch (*expression)
{
case '+':
{
gamma=FxEvaluateSubexpression(fx_info,channel,x,y,expression+1,depth+1,
beta,exception);
FxReturn(1.0*gamma);
}
case '-':
{
gamma=FxEvaluateSubexpression(fx_info,channel,x,y,expression+1,depth+1,
beta,exception);
FxReturn(-1.0*gamma);
}
case '~':
{
gamma=FxEvaluateSubexpression(fx_info,channel,x,y,expression+1,depth+1,
beta,exception);
FxReturn((double) (~(size_t) (gamma+0.5)));
}
case 'A':
case 'a':
{
if (IsFxFunction(expression,"abs",3) != MagickFalse)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+3,
depth+1,beta,exception);
FxReturn(fabs(alpha));
}
#if defined(MAGICKCORE_HAVE_ACOSH)
if (IsFxFunction(expression,"acosh",5) != MagickFalse)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+5,
depth+1,beta,exception);
FxReturn(acosh(alpha));
}
#endif
if (IsFxFunction(expression,"acos",4) != MagickFalse)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+4,
depth+1,beta,exception);
FxReturn(acos(alpha));
}
#if defined(MAGICKCORE_HAVE_J1)
if (IsFxFunction(expression,"airy",4) != MagickFalse)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+4,
depth+1,beta,exception);
if (alpha == 0.0)
FxReturn(1.0);
gamma=2.0*j1((MagickPI*alpha))/(MagickPI*alpha);
FxReturn(gamma*gamma);
}
#endif
#if defined(MAGICKCORE_HAVE_ASINH)
if (IsFxFunction(expression,"asinh",5) != MagickFalse)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+5,
depth+1,beta,exception);
FxReturn(asinh(alpha));
}
#endif
if (IsFxFunction(expression,"asin",4) != MagickFalse)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+4,
depth+1,beta,exception);
FxReturn(asin(alpha));
}
if (IsFxFunction(expression,"alt",3) != MagickFalse)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+3,
depth+1,beta,exception);
FxReturn(((ssize_t) alpha) & 0x01 ? -1.0 : 1.0);
}
if (IsFxFunction(expression,"atan2",5) != MagickFalse)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+5,
depth+1,beta,exception);
FxReturn(atan2(alpha,*beta));
}
#if defined(MAGICKCORE_HAVE_ATANH)
if (IsFxFunction(expression,"atanh",5) != MagickFalse)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+5,
depth+1,beta,exception);
FxReturn(atanh(alpha));
}
#endif
if (IsFxFunction(expression,"atan",4) != MagickFalse)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+4,
depth+1,beta,exception);
FxReturn(atan(alpha));
}
if (LocaleCompare(expression,"a") == 0)
FxReturn(FxGetSymbol(fx_info,channel,x,y,expression,depth+1,exception));
break;
}
case 'B':
case 'b':
{
if (LocaleCompare(expression,"b") == 0)
FxReturn(FxGetSymbol(fx_info,channel,x,y,expression,depth+1,exception));
break;
}
case 'C':
case 'c':
{
if (IsFxFunction(expression,"ceil",4) != MagickFalse)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+4,
depth+1,beta,exception);
FxReturn(ceil(alpha));
}
if (IsFxFunction(expression,"clamp",5) != MagickFalse)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+5,
depth+1,beta,exception);
if (alpha < 0.0)
FxReturn(0.0);
if (alpha > 1.0)
FxReturn(1.0);
FxReturn(alpha);
}
if (IsFxFunction(expression,"cosh",4) != MagickFalse)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+4,
depth+1,beta,exception);
FxReturn(cosh(alpha));
}
if (IsFxFunction(expression,"cos",3) != MagickFalse)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+3,
depth+1,beta,exception);
FxReturn(cos(alpha));
}
if (LocaleCompare(expression,"c") == 0)
FxReturn(FxGetSymbol(fx_info,channel,x,y,expression,depth+1,exception));
break;
}
case 'D':
case 'd':
{
if (IsFxFunction(expression,"debug",5) != MagickFalse)
{
const char
*type;
size_t
length;
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+5,
depth+1,beta,exception);
switch (fx_info->images->colorspace)
{
case CMYKColorspace:
{
switch (channel)
{
case CyanPixelChannel: type="cyan"; break;
case MagentaPixelChannel: type="magenta"; break;
case YellowPixelChannel: type="yellow"; break;
case AlphaPixelChannel: type="alpha"; break;
case BlackPixelChannel: type="black"; break;
default: type="unknown"; break;
}
break;
}
case GRAYColorspace:
{
switch (channel)
{
case RedPixelChannel: type="gray"; break;
case AlphaPixelChannel: type="alpha"; break;
default: type="unknown"; break;
}
break;
}
default:
{
switch (channel)
{
case RedPixelChannel: type="red"; break;
case GreenPixelChannel: type="green"; break;
case BluePixelChannel: type="blue"; break;
case AlphaPixelChannel: type="alpha"; break;
default: type="unknown"; break;
}
break;
}
}
*subexpression='\0';
length=1;
if (strlen(expression) > 6)
length=CopyMagickString(subexpression,expression+6,
MagickPathExtent);
if (length != 0)
subexpression[length-1]='\0';
if (fx_info->file != (FILE *) NULL)
(void) FormatLocaleFile(fx_info->file,"%s[%.20g,%.20g].%s: "
"%s=%.*g\n",fx_info->images->filename,(double) x,(double) y,type,
subexpression,GetMagickPrecision(),alpha);
FxReturn(alpha);
}
if (IsFxFunction(expression,"do",2) != MagickFalse)
{
size_t
length;
/*
Parse do(expression,condition test).
*/
length=CopyMagickString(subexpression,expression+3,
MagickPathExtent-1);
if (length != 0)
subexpression[length-1]='\0';
FxParseConditional(subexpression,',',p,q);
for (alpha=0.0; ; )
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,q+1,depth+1,beta,
exception);
gamma=FxEvaluateSubexpression(fx_info,channel,x,y,p,depth+1,&sans,
exception);
if (fabs(gamma) < MagickEpsilon)
break;
}
FxReturn(alpha);
}
if (IsFxFunction(expression,"drc",3) != MagickFalse)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+3,
depth+1,beta,exception);
FxReturn(alpha*PerceptibleReciprocal(*beta*(alpha-1.0)+1.0));
}
break;
}
case 'E':
case 'e':
{
if (LocaleCompare(expression,"epsilon") == 0)
FxReturn(MagickEpsilon);
#if defined(MAGICKCORE_HAVE_ERF)
if (IsFxFunction(expression,"erf",3) != MagickFalse)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+3,
depth+1,beta,exception);
FxReturn(erf(alpha));
}
#endif
if (IsFxFunction(expression,"exp",3) != MagickFalse)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+3,
depth+1,beta,exception);
FxReturn(exp(alpha));
}
if (LocaleCompare(expression,"e") == 0)
FxReturn(2.7182818284590452354);
break;
}
case 'F':
case 'f':
{
if (IsFxFunction(expression,"floor",5) != MagickFalse)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+5,
depth+1,beta,exception);
FxReturn(floor(alpha));
}
if (IsFxFunction(expression,"for",3) != MagickFalse)
{
size_t
length;
/*
Parse for(initialization, condition test, expression).
*/
length=CopyMagickString(subexpression,expression+4,
MagickPathExtent-1);
if (length != 0)
subexpression[length-1]='\0';
FxParseConditional(subexpression,',',p,q);
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,p,depth+1,&sans,
exception);
(void) CopyMagickString(subexpression,q+1,MagickPathExtent-1);
FxParseConditional(subexpression,',',p,q);
for (alpha=0.0; ; )
{
gamma=FxEvaluateSubexpression(fx_info,channel,x,y,p,depth+1,&sans,
exception);
if (fabs(gamma) < MagickEpsilon)
break;
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,q+1,depth+1,beta,
exception);
}
FxReturn(alpha);
}
break;
}
case 'G':
case 'g':
{
if (IsFxFunction(expression,"gauss",5) != MagickFalse)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+5,
depth+1,beta,exception);
FxReturn(exp((-alpha*alpha/2.0))/sqrt(2.0*MagickPI));
}
if (IsFxFunction(expression,"gcd",3) != MagickFalse)
{
double
gcd;
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+3,
depth+1,beta,exception);
if (IsNaN(alpha) != 0)
FxReturn(alpha);
gcd=FxGCD(alpha,*beta,0);
FxReturn(gcd);
}
if (LocaleCompare(expression,"g") == 0)
FxReturn(FxGetSymbol(fx_info,channel,x,y,expression,depth+1,exception));
break;
}
case 'H':
case 'h':
{
if (LocaleCompare(expression,"h") == 0)
FxReturn(FxGetSymbol(fx_info,channel,x,y,expression,depth+1,exception));
if (LocaleCompare(expression,"hue") == 0)
FxReturn(FxGetSymbol(fx_info,channel,x,y,expression,depth+1,exception));
if (IsFxFunction(expression,"hypot",5) != MagickFalse)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+5,
depth+1,beta,exception);
FxReturn(hypot(alpha,*beta));
}
break;
}
case 'K':
case 'k':
{
if (LocaleCompare(expression,"k") == 0)
FxReturn(FxGetSymbol(fx_info,channel,x,y,expression,depth+1,exception));
break;
}
case 'I':
case 'i':
{
if (IsFxFunction(expression,"if",2) != MagickFalse)
{
size_t
length;
/*
Parse if(condition test, true-expression, false-expression).
*/
length=CopyMagickString(subexpression,expression+3,
MagickPathExtent-1);
if (length != 0)
subexpression[length-1]='\0';
FxParseConditional(subexpression,',',p,q);
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,p,depth+1,&sans,
exception);
(void) CopyMagickString(subexpression,q+1,MagickPathExtent-1);
FxParseConditional(subexpression,',',p,q);
if (fabs(alpha) >= MagickEpsilon)
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,p,depth+1,beta,
exception);
else
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,q+1,depth+1,beta,
exception);
FxReturn(alpha);
}
if (LocaleCompare(expression,"intensity") == 0)
FxReturn(FxGetSymbol(fx_info,channel,x,y,expression,depth+1,exception));
if (IsFxFunction(expression,"int",3) != MagickFalse)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+3,
depth+1,beta,exception);
FxReturn(floor(alpha));
}
if (IsFxFunction(expression,"isnan",5) != MagickFalse)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+5,
depth+1,beta,exception);
FxReturn((double) !!IsNaN(alpha));
}
if (LocaleCompare(expression,"i") == 0)
FxReturn(FxGetSymbol(fx_info,channel,x,y,expression,depth+1,exception));
break;
}
case 'J':
case 'j':
{
if (LocaleCompare(expression,"j") == 0)
FxReturn(FxGetSymbol(fx_info,channel,x,y,expression,depth+1,exception));
#if defined(MAGICKCORE_HAVE_J0)
if (IsFxFunction(expression,"j0",2) != MagickFalse)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+2,
depth+1,beta,exception);
FxReturn(j0(alpha));
}
#endif
#if defined(MAGICKCORE_HAVE_J1)
if (IsFxFunction(expression,"j1",2) != MagickFalse)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+2,
depth+1,beta,exception);
FxReturn(j1(alpha));
}
#endif
#if defined(MAGICKCORE_HAVE_J1)
if (IsFxFunction(expression,"jinc",4) != MagickFalse)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+4,
depth+1,beta,exception);
if (alpha == 0.0)
FxReturn(1.0);
FxReturn((2.0*j1((MagickPI*alpha))/(MagickPI*alpha)));
}
#endif
break;
}
case 'L':
case 'l':
{
if (IsFxFunction(expression,"ln",2) != MagickFalse)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+2,
depth+1,beta,exception);
FxReturn(log(alpha));
}
if (IsFxFunction(expression,"logtwo",6) != MagickFalse)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+6,
depth+1,beta,exception);
FxReturn(log10(alpha)/log10(2.0));
}
if (IsFxFunction(expression,"log",3) != MagickFalse)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+3,
depth+1,beta,exception);
FxReturn(log10(alpha));
}
if (LocaleCompare(expression,"lightness") == 0)
FxReturn(FxGetSymbol(fx_info,channel,x,y,expression,depth+1,exception));
break;
}
case 'M':
case 'm':
{
if (LocaleCompare(expression,"MaxRGB") == 0)
FxReturn(QuantumRange);
if (LocaleNCompare(expression,"maxima",6) == 0)
break;
if (IsFxFunction(expression,"max",3) != MagickFalse)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+3,
depth+1,beta,exception);
FxReturn(alpha > *beta ? alpha : *beta);
}
if (LocaleNCompare(expression,"minima",6) == 0)
break;
if (IsFxFunction(expression,"min",3) != MagickFalse)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+3,
depth+1,beta,exception);
FxReturn(alpha < *beta ? alpha : *beta);
}
if (IsFxFunction(expression,"mod",3) != MagickFalse)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+3,
depth+1,beta,exception);
FxReturn(alpha-floor((alpha*PerceptibleReciprocal(*beta)))*(*beta));
}
if (LocaleCompare(expression,"m") == 0)
FxReturn(FxGetSymbol(fx_info,channel,x,y,expression,depth+1,exception));
break;
}
case 'N':
case 'n':
{
if (IsFxFunction(expression,"not",3) != MagickFalse)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+3,
depth+1,beta,exception);
FxReturn((double) (alpha < MagickEpsilon));
}
if (LocaleCompare(expression,"n") == 0)
FxReturn(FxGetSymbol(fx_info,channel,x,y,expression,depth+1,exception));
break;
}
case 'O':
case 'o':
{
if (LocaleCompare(expression,"Opaque") == 0)
FxReturn(1.0);
if (LocaleCompare(expression,"o") == 0)
FxReturn(FxGetSymbol(fx_info,channel,x,y,expression,depth+1,exception));
break;
}
case 'P':
case 'p':
{
if (LocaleCompare(expression,"phi") == 0)
FxReturn(MagickPHI);
if (LocaleCompare(expression,"pi") == 0)
FxReturn(MagickPI);
if (IsFxFunction(expression,"pow",3) != MagickFalse)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+3,
depth+1,beta,exception);
FxReturn(pow(alpha,*beta));
}
if (LocaleCompare(expression,"p") == 0)
FxReturn(FxGetSymbol(fx_info,channel,x,y,expression,depth+1,exception));
break;
}
case 'Q':
case 'q':
{
if (LocaleCompare(expression,"QuantumRange") == 0)
FxReturn(QuantumRange);
if (LocaleCompare(expression,"QuantumScale") == 0)
FxReturn(QuantumScale);
break;
}
case 'R':
case 'r':
{
if (IsFxFunction(expression,"rand",4) != MagickFalse)
{
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_FxEvaluateSubexpression)
#endif
alpha=GetPseudoRandomValue(fx_info->random_info);
FxReturn(alpha);
}
if (IsFxFunction(expression,"round",5) != MagickFalse)
{
/*
Round the fraction to nearest integer.
*/
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+5,
depth+1,beta,exception);
if ((alpha-floor(alpha)) < (ceil(alpha)-alpha))
FxReturn(floor(alpha));
FxReturn(ceil(alpha));
}
if (LocaleCompare(expression,"r") == 0)
FxReturn(FxGetSymbol(fx_info,channel,x,y,expression,depth+1,exception));
break;
}
case 'S':
case 's':
{
if (LocaleCompare(expression,"saturation") == 0)
FxReturn(FxGetSymbol(fx_info,channel,x,y,expression,depth+1,exception));
if (IsFxFunction(expression,"sign",4) != MagickFalse)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+4,
depth+1,beta,exception);
FxReturn(alpha < 0.0 ? -1.0 : 1.0);
}
if (IsFxFunction(expression,"sinc",4) != MagickFalse)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+4,
depth+1,beta,exception);
if (alpha == 0)
FxReturn(1.0);
FxReturn(sin((MagickPI*alpha))/(MagickPI*alpha));
}
if (IsFxFunction(expression,"sinh",4) != MagickFalse)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+4,
depth+1,beta,exception);
FxReturn(sinh(alpha));
}
if (IsFxFunction(expression,"sin",3) != MagickFalse)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+3,
depth+1,beta,exception);
FxReturn(sin(alpha));
}
if (IsFxFunction(expression,"sqrt",4) != MagickFalse)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+4,
depth+1,beta,exception);
FxReturn(sqrt(alpha));
}
if (IsFxFunction(expression,"squish",6) != MagickFalse)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+6,
depth+1,beta,exception);
FxReturn((1.0/(1.0+exp(-alpha))));
}
if (LocaleCompare(expression,"s") == 0)
FxReturn(FxGetSymbol(fx_info,channel,x,y,expression,depth+1,exception));
break;
}
case 'T':
case 't':
{
if (IsFxFunction(expression,"tanh",4) != MagickFalse)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+4,
depth+1,beta,exception);
FxReturn(tanh(alpha));
}
if (IsFxFunction(expression,"tan",3) != MagickFalse)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+3,
depth+1,beta,exception);
FxReturn(tan(alpha));
}
if (LocaleCompare(expression,"Transparent") == 0)
FxReturn(0.0);
if (IsFxFunction(expression,"trunc",5) != MagickFalse)
{
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,expression+5,
depth+1,beta,exception);
if (alpha >= 0.0)
FxReturn(floor(alpha));
FxReturn(ceil(alpha));
}
if (LocaleCompare(expression,"t") == 0)
FxReturn(FxGetSymbol(fx_info,channel,x,y,expression,depth+1,exception));
break;
}
case 'U':
case 'u':
{
if (LocaleCompare(expression,"u") == 0)
FxReturn(FxGetSymbol(fx_info,channel,x,y,expression,depth+1,exception));
break;
}
case 'V':
case 'v':
{
if (LocaleCompare(expression,"v") == 0)
FxReturn(FxGetSymbol(fx_info,channel,x,y,expression,depth+1,exception));
break;
}
case 'W':
case 'w':
{
if (IsFxFunction(expression,"while",5) != MagickFalse)
{
size_t
length;
/*
Parse while(condition test, expression).
*/
length=CopyMagickString(subexpression,expression+6,
MagickPathExtent-1);
if (length != 0)
subexpression[length-1]='\0';
FxParseConditional(subexpression,',',p,q);
for (alpha=0.0; ; )
{
gamma=FxEvaluateSubexpression(fx_info,channel,x,y,p,depth+1,&sans,
exception);
if (fabs(gamma) < MagickEpsilon)
break;
alpha=FxEvaluateSubexpression(fx_info,channel,x,y,q+1,depth+1,
beta,exception);
}
FxReturn(alpha);
}
if (LocaleCompare(expression,"w") == 0)
FxReturn(FxGetSymbol(fx_info,channel,x,y,expression,depth+1,exception));
break;
}
case 'Y':
case 'y':
{
if (LocaleCompare(expression,"y") == 0)
FxReturn(FxGetSymbol(fx_info,channel,x,y,expression,depth+1,exception));
break;
}
case 'Z':
case 'z':
{
if (LocaleCompare(expression,"z") == 0)
FxReturn(FxGetSymbol(fx_info,channel,x,y,expression,depth+1,exception));
break;
}
default:
break;
}
subexpression=DestroyString(subexpression);
q=(char *) expression;
alpha=InterpretSiPrefixValue(expression,&q);
if (q == expression)
alpha=FxGetSymbol(fx_info,channel,x,y,expression,depth+1,exception);
if (*q == ')')
(void) ThrowMagickException(exception,GetMagickModule(),OptionError,
"UnbalancedParenthesis","`%s'",expression);
FxReturn(alpha);
}
MagickPrivate MagickBooleanType FxEvaluateExpression(FxInfo *fx_info,
double *alpha,ExceptionInfo *exception)
{
MagickBooleanType
status;
status=FxEvaluateChannelExpression(fx_info,GrayPixelChannel,0,0,alpha,
exception);
return(status);
}
MagickExport MagickBooleanType FxPreprocessExpression(FxInfo *fx_info,
double *alpha,ExceptionInfo *exception)
{
FILE
*file;
MagickBooleanType
status;
file=fx_info->file;
fx_info->file=(FILE *) NULL;
status=FxEvaluateChannelExpression(fx_info,GrayPixelChannel,0,0,alpha,
exception);
fx_info->file=file;
return(status);
}
MagickPrivate MagickBooleanType FxEvaluateChannelExpression(FxInfo *fx_info,
const PixelChannel channel,const ssize_t x,const ssize_t y,
double *alpha,ExceptionInfo *exception)
{
double
beta;
beta=0.0;
*alpha=FxEvaluateSubexpression(fx_info,channel,x,y,fx_info->expression,0,
&beta,exception);
return(exception->severity == OptionError ? MagickFalse : MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% F x I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% FxImage() applies a mathematical expression to the specified image.
%
% The format of the FxImage method is:
%
% Image *FxImage(const Image *image,const char *expression,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o expression: A mathematical expression.
%
% o exception: return any errors or warnings in this structure.
%
*/
static FxInfo **DestroyFxThreadSet(FxInfo **fx_info)
{
ssize_t
i;
assert(fx_info != (FxInfo **) NULL);
for (i=0; i < (ssize_t) GetMagickResourceLimit(ThreadResource); i++)
if (fx_info[i] != (FxInfo *) NULL)
fx_info[i]=DestroyFxInfo(fx_info[i]);
fx_info=(FxInfo **) RelinquishMagickMemory(fx_info);
return(fx_info);
}
static FxInfo **AcquireFxThreadSet(const Image *image,const char *expression,
ExceptionInfo *exception)
{
char
*fx_expression;
double
alpha;
FxInfo
**fx_info;
ssize_t
i;
size_t
number_threads;
number_threads=(size_t) GetMagickResourceLimit(ThreadResource);
fx_info=(FxInfo **) AcquireQuantumMemory(number_threads,sizeof(*fx_info));
if (fx_info == (FxInfo **) NULL)
{
(void) ThrowMagickException(exception,GetMagickModule(),
ResourceLimitError,"MemoryAllocationFailed","`%s'",image->filename);
return((FxInfo **) NULL);
}
(void) memset(fx_info,0,number_threads*sizeof(*fx_info));
if (*expression != '@')
fx_expression=ConstantString(expression);
else
fx_expression=FileToString(expression+1,~0UL,exception);
for (i=0; i < (ssize_t) number_threads; i++)
{
MagickBooleanType
status;
fx_info[i]=AcquireFxInfo(image,fx_expression,exception);
if (fx_info[i] == (FxInfo *) NULL)
break;
status=FxPreprocessExpression(fx_info[i],&alpha,exception);
if (status == MagickFalse)
break;
}
fx_expression=DestroyString(fx_expression);
if (i < (ssize_t) number_threads)
fx_info=DestroyFxThreadSet(fx_info);
return(fx_info);
}
MagickExport Image *FxImage(const Image *image,const char *expression,
ExceptionInfo *exception)
{
#define FxImageTag "Fx/Image"
CacheView
*fx_view,
*image_view;
FxInfo
**magick_restrict fx_info;
Image
*fx_image;
MagickBooleanType
status;
MagickOffsetType
progress;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (expression == (const char *) NULL)
return(CloneImage(image,0,0,MagickTrue,exception));
fx_info=AcquireFxThreadSet(image,expression,exception);
if (fx_info == (FxInfo **) NULL)
return((Image *) NULL);
fx_image=CloneImage(image,0,0,MagickTrue,exception);
if (fx_image == (Image *) NULL)
{
fx_info=DestroyFxThreadSet(fx_info);
return((Image *) NULL);
}
if (SetImageStorageClass(fx_image,DirectClass,exception) == MagickFalse)
{
fx_info=DestroyFxThreadSet(fx_info);
fx_image=DestroyImage(fx_image);
return((Image *) NULL);
}
/*
Fx image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireVirtualCacheView(image,exception);
fx_view=AcquireAuthenticCacheView(fx_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(dynamic) shared(progress,status) \
magick_number_threads(image,fx_image,fx_image->rows, \
GlobExpression(fx_info[0]->expression,"*debug(*",MagickTrue) == 0 ? 1 : 0)
#endif
for (y=0; y < (ssize_t) fx_image->rows; y++)
{
const int
id = GetOpenMPThreadId();
const Quantum
*magick_restrict p;
Quantum
*magick_restrict q;
ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
q=QueueCacheViewAuthenticPixels(fx_view,0,y,fx_image->columns,1,exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) fx_image->columns; x++)
{
ssize_t
i;
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
double
alpha;
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
PixelTrait fx_traits=GetPixelChannelTraits(fx_image,channel);
if ((traits == UndefinedPixelTrait) ||
(fx_traits == UndefinedPixelTrait))
continue;
if ((fx_traits & CopyPixelTrait) != 0)
{
SetPixelChannel(fx_image,channel,p[i],q);
continue;
}
alpha=0.0;
(void) FxEvaluateChannelExpression(fx_info[id],channel,x,y,&alpha,
exception);
q[i]=ClampToQuantum(QuantumRange*alpha);
}
p+=GetPixelChannels(image);
q+=GetPixelChannels(fx_image);
}
if (SyncCacheViewAuthenticPixels(fx_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,FxImageTag,progress,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
fx_view=DestroyCacheView(fx_view);
image_view=DestroyCacheView(image_view);
fx_info=DestroyFxThreadSet(fx_info);
if (status == MagickFalse)
fx_image=DestroyImage(fx_image);
return(fx_image);
}
|
GB_unaryop__abs_uint16_int16.c | //------------------------------------------------------------------------------
// GB_unaryop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2020, All Rights Reserved.
// http://suitesparse.com See GraphBLAS/Doc/License.txt for license.
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_iterator.h"
#include "GB_unaryop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB_unop__abs_uint16_int16
// op(A') function: GB_tran__abs_uint16_int16
// C type: uint16_t
// A type: int16_t
// cast: uint16_t cij = (uint16_t) aij
// unaryop: cij = aij
#define GB_ATYPE \
int16_t
#define GB_CTYPE \
uint16_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
int16_t aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = x ;
// casting
#define GB_CASTING(z, aij) \
uint16_t z = (uint16_t) aij ;
// cij = op (cast (aij))
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
GB_GETA (aij, Ax, pA) ; \
/* Cx [pC] = op (cast (aij)) */ \
GB_CASTING (z, aij) ; \
GB_OP (GB_CX (pC), z) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_ABS || GxB_NO_UINT16 || GxB_NO_INT16)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop__abs_uint16_int16
(
uint16_t *Cx, // Cx and Ax may be aliased
int16_t *Ax,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
GB_CAST_OP (p, p) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_tran__abs_uint16_int16
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *GB_RESTRICT *Rowcounts,
GBI_single_iterator Iter,
const int64_t *GB_RESTRICT A_slice,
int naslice
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#define GB_PHASE_2_OF_2
#include "GB_unaryop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
GB_unaryop__lnot_uint8_uint64.c | //------------------------------------------------------------------------------
// GB_unaryop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2020, All Rights Reserved.
// http://suitesparse.com See GraphBLAS/Doc/License.txt for license.
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_iterator.h"
#include "GB_unaryop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB_unop__lnot_uint8_uint64
// op(A') function: GB_tran__lnot_uint8_uint64
// C type: uint8_t
// A type: uint64_t
// cast: uint8_t cij = (uint8_t) aij
// unaryop: cij = !(aij != 0)
#define GB_ATYPE \
uint64_t
#define GB_CTYPE \
uint8_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
uint64_t aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = !(x != 0) ;
// casting
#define GB_CASTING(z, aij) \
uint8_t z = (uint8_t) aij ;
// cij = op (cast (aij))
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
GB_GETA (aij, Ax, pA) ; \
/* Cx [pC] = op (cast (aij)) */ \
GB_CASTING (z, aij) ; \
GB_OP (GB_CX (pC), z) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_LNOT || GxB_NO_UINT8 || GxB_NO_UINT64)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop__lnot_uint8_uint64
(
uint8_t *Cx, // Cx and Ax may be aliased
uint64_t *Ax,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
GB_CAST_OP (p, p) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_tran__lnot_uint8_uint64
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *GB_RESTRICT *Rowcounts,
GBI_single_iterator Iter,
const int64_t *GB_RESTRICT A_slice,
int naslice
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#define GB_PHASE_2_OF_2
#include "GB_unaryop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
matmul_float.c | /*
* Square matrix multiplication
* A[N][N] * B[N][N] = C[N][N]
*
*/
#include <stdio.h>
#include <stdlib.h>
#include <time.h>
#include <sys/timeb.h>
#include <malloc.h>
#define N 1024
//#define N 16
// read timer in second
double read_timer() {
struct timeb tm;
ftime(&tm);
return (double) tm.time + (double) tm.millitm / 1000.0;
}
void init(float *A) {
int i;
for (i = 0; i < N*N; i++) {
A[i] = (float)rand()/(float)(RAND_MAX/10.0);
}
}
void matmul_simd(float *A1, float *B1, float *C1) {
int i,j,k;
float temp;
float (*A)[N] = (float(*)[N])A1;
float (*B)[N] = (float(*)[N])B1;
float (*C)[N] = (float(*)[N])C1;
for (i = 0; i < N; i++) {
for (j = 0; j < N; j++) {
temp = 0;
#pragma omp simd reduction(+:temp)
for (k = 0; k < N; k++) {
temp += A[i][k] * B[k][j];
}
C[i][j] = temp;
}
}
}
// Debug functions
void print_matrix(float *matrix) {
for (int i = 0; i<8; i++) {
printf("[");
for (int j = 0; j<8; j++) {
printf("%.2f ", matrix[i*N+j]);
}
puts("]");
}
puts("");
}
void matmul_serial(float *A1, float *B1, float *C1) {
int i,j,k;
float temp;
float (*A)[N] = (float(*)[N])A1;
float (*B)[N] = (float(*)[N])B1;
float (*C)[N] = (float(*)[N])C1;
for (i = 0; i < N; i++) {
for (j = 0; j < N; j++) {
temp = 0;
for (k = 0; k < N; k++) {
temp += A[i][k] * B[k][j];
}
C[i][j] = temp;
}
}
}
float check(float *A, float *B){
float difference = 0;
for(int i = 0;i<N; i++){
for (int j = 0; j<N; j++) {
difference += fabsf(A[i*N+j]- B[i*N+j]);
}
}
return difference;
}
// Main
int main(int argc, char *argv[]) {
//Set everything up
/*float **A = malloc(sizeof(float*)*N);
float **B = malloc(sizeof(float*)*N);
float **C_simd = malloc(sizeof(float*)*N);
float **C_serial = malloc(sizeof(float*)*N);
float **BT = malloc(sizeof(float*)*N);
for (int i = 0; i<N; i++) {
A[i] = malloc(sizeof(float)*N);
B[i] = malloc(sizeof(float)*N);
C_simd[i] = malloc(sizeof(float)*N);
C_serial[i] = malloc(sizeof(float)*N);
BT[i] = malloc(sizeof(float)*N);
}*/
float *A = malloc(sizeof(float)*N*N);
float *B = malloc(sizeof(float)*N*N);
float *C = malloc(sizeof(float)*N*N);
float *C_simd = malloc(sizeof(float)*N*N);
float *C_serial = malloc(sizeof(float)*N*N);
srand(time(NULL));
init(A);
init(B);
int i;
int num_runs = 20;
//Warming up
matmul_simd(A, B, C_simd);
matmul_serial(A, B, C_serial);
double elapsed = 0;
double elapsed1 = read_timer();
for (i=0; i<num_runs; i++)
matmul_simd(A, B, C_simd);
elapsed += (read_timer() - elapsed1);
double elapsed_serial = 0;
double elapsed_serial1 = read_timer();
for (i=0; i<num_runs; i++)
matmul_serial(A, B, C_serial);
elapsed_serial += (read_timer() - elapsed_serial1);
print_matrix(A);
print_matrix(B);
puts("=\n");
print_matrix(C_simd);
puts("---------------------------------");
print_matrix(C_serial);
double gflops_omp = ((((2.0 * N) * N) * N * num_runs) / (1.0e9 * elapsed));
double gflops_serial = ((((2.0 * N) * N) * N * num_runs) / (1.0e9 * elapsed_serial));
printf("======================================================================================================\n");
printf("\tMatrix Multiplication: A[N][N] * B[N][N] = C[N][N], N=%d\n", N);
printf("------------------------------------------------------------------------------------------------------\n");
printf("Performance:\t\tRuntime (s)\t GFLOPS\n");
printf("------------------------------------------------------------------------------------------------------\n");
printf("matmul_omp:\t\t%4f\t%4f\n", elapsed/num_runs, gflops_omp);
printf("matmul_serial:\t\t%4f\t%4f\n", elapsed_serial/num_runs, gflops_serial);
printf("Correctness check: %f\n", check(C_simd,C_serial));
return 0;
}
|
prime-omp.c | //-------------------------------------------------------------------------
// This is supporting software for CS415/515 Parallel Programming.
// Copyright (c) Portland State University.
//-------------------------------------------------------------------------
// A sequential prime-finding algorithm.
//
// Usage: ./prime <N>
//
//
#include <stdlib.h>
#include <stdio.h>
#include <math.h>
int main(int argc, char **argv) {
int N, numOfThreads;
/* check command line first */
if (argc < 3) {
printf ("Usage: ./prime <N> <Number of threads>\n");
exit(0);
}
if ((N=atoi(argv[1])) < 2) {
printf ("N must be greater than 1\n");
exit(0);
}
if ((numOfThreads = atoi(argv[2])) < 1) {
printf("Number of threads must be greater than 0\n");
exit(0);
}
printf("Finding primes in range 1..%d\n", N);
int *array = (int *) malloc(sizeof(int) * (N+1));
omp_set_num_threads(numOfThreads);
int i, j, tid;
#pragma omp parallel for private(tid, i)
for (i = 2; i <= N; i++) {
//printf("Loop 1 - Thread ID: %d\n", tid = omp_get_thread_num());
array[i] = 1;
}
int limit = (int) sqrt((double) N);
#pragma omp parallel for private(tid, i, j)
for (i = 2; i <= limit; i++) {
//printf("Loop 2 - Thread ID: %d\n", tid = omp_get_thread_num());
if (array[i] == 1) {
for (j = i+i; j <= N; j += i)
array[j] = 0;
}
}
int cnt = 0;
#pragma omp parallel for reduction(+:cnt) private(tid, i)
for (i = 2; i <= N; i++) {
//printf("Loop 3 - Thread ID: %d\n", tid = omp_get_thread_num());
if (array[i] == 1)
cnt++;
}
printf("Total %d primes found\n", cnt);
}
|
pfmg_setup_rap5.c | /*BHEADER**********************************************************************
* Copyright (c) 2008, Lawrence Livermore National Security, LLC.
* Produced at the Lawrence Livermore National Laboratory.
* This file is part of HYPRE. See file COPYRIGHT for details.
*
* HYPRE is free software; you can redistribute it and/or modify it under the
* terms of the GNU Lesser General Public License (as published by the Free
* Software Foundation) version 2.1 dated February 1999.
*
* $Revision: 2.27 $
***********************************************************************EHEADER*/
#include "_hypre_struct_ls.h"
#include "pfmg.h"
/*--------------------------------------------------------------------------
* Macro to "change coordinates". This routine is written as though
* coarsening is being done in the y-direction. This macro is used to
* allow for coarsening to be done in the x-direction also.
*--------------------------------------------------------------------------*/
#define MapIndex(in_index, cdir, out_index) \
hypre_IndexD(out_index, 2) = hypre_IndexD(in_index, 2); \
hypre_IndexD(out_index, cdir) = hypre_IndexD(in_index, 1); \
cdir = (cdir + 1) % 2; \
hypre_IndexD(out_index, cdir) = hypre_IndexD(in_index, 0); \
cdir = (cdir + 1) % 2;
/*--------------------------------------------------------------------------
* hypre_PFMGCreateCoarseOp5
* Sets up new coarse grid operator stucture. Fine grid
* operator is 5pt and so is coarse, i.e. non-Galerkin.
*--------------------------------------------------------------------------*/
hypre_StructMatrix *
hypre_PFMGCreateCoarseOp5( hypre_StructMatrix *R,
hypre_StructMatrix *A,
hypre_StructMatrix *P,
hypre_StructGrid *coarse_grid,
HYPRE_Int cdir )
{
hypre_StructMatrix *RAP;
hypre_Index *RAP_stencil_shape;
hypre_StructStencil *RAP_stencil;
HYPRE_Int RAP_stencil_size;
HYPRE_Int RAP_stencil_dim;
HYPRE_Int RAP_num_ghost[] = {1, 1, 1, 1, 1, 1};
hypre_Index index_temp;
HYPRE_Int j, i;
HYPRE_Int stencil_rank;
RAP_stencil_dim = 2;
/*-----------------------------------------------------------------------
* Define RAP_stencil
*-----------------------------------------------------------------------*/
stencil_rank = 0;
/*-----------------------------------------------------------------------
* non-symmetric case
*-----------------------------------------------------------------------*/
if (!hypre_StructMatrixSymmetric(A))
{
/*--------------------------------------------------------------------
* 5 point coarse grid stencil
*--------------------------------------------------------------------*/
RAP_stencil_size = 5;
RAP_stencil_shape = hypre_CTAlloc(hypre_Index, RAP_stencil_size);
for (j = -1; j < 2; j++)
{
for (i = -1; i < 2; i++)
{
/*--------------------------------------------------------------
* Storage for 5 elements (c,w,e,n,s)
*--------------------------------------------------------------*/
if (i*j == 0)
{
hypre_SetIndex(index_temp,i,j,0);
MapIndex(index_temp, cdir, RAP_stencil_shape[stencil_rank]);
stencil_rank++;
}
}
}
}
/*-----------------------------------------------------------------------
* symmetric case
*-----------------------------------------------------------------------*/
else
{
/*--------------------------------------------------------------------
* 5 point coarse grid stencil
* Only store the lower triangular part + diagonal = 3 entries,
* lower triangular means the lower triangular part on the matrix
* in the standard lexicographic ordering.
*--------------------------------------------------------------------*/
RAP_stencil_size = 3;
RAP_stencil_shape = hypre_CTAlloc(hypre_Index, RAP_stencil_size);
for (j = -1; j < 1; j++)
{
for (i = -1; i < 1; i++)
{
/*--------------------------------------------------------------
* Store 3 elements in (c,w,s)
*--------------------------------------------------------------*/
if( i*j == 0 )
{
hypre_SetIndex(index_temp,i,j,0);
MapIndex(index_temp, cdir, RAP_stencil_shape[stencil_rank]);
stencil_rank++;
}
}
}
}
RAP_stencil = hypre_StructStencilCreate(RAP_stencil_dim, RAP_stencil_size,
RAP_stencil_shape);
RAP = hypre_StructMatrixCreate(hypre_StructMatrixComm(A),
coarse_grid, RAP_stencil);
hypre_StructStencilDestroy(RAP_stencil);
/*-----------------------------------------------------------------------
* Coarse operator in symmetric iff fine operator is
*-----------------------------------------------------------------------*/
hypre_StructMatrixSymmetric(RAP) = hypre_StructMatrixSymmetric(A);
/*-----------------------------------------------------------------------
* Set number of ghost points - one one each boundary
*-----------------------------------------------------------------------*/
hypre_StructMatrixSetNumGhost(RAP, RAP_num_ghost);
return RAP;
}
/*--------------------------------------------------------------------------
* hypre_PFMGBuildCoarseOp5
* Sets up new coarse grid operator stucture. Fine grid operator is 5pt and
* so is coarse, i.e. non-Galerkin.
*
* Uses the non-Galerkin strategy from Ashby & Falgout's original ParFlow
* algorithm. For constant_coefficient==2, see [issue663].
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_PFMGBuildCoarseOp5( hypre_StructMatrix *A,
hypre_StructMatrix *P,
hypre_StructMatrix *R,
HYPRE_Int cdir,
hypre_Index cindex,
hypre_Index cstride,
hypre_StructMatrix *RAP )
{
hypre_Index index;
hypre_Index index_temp;
hypre_StructGrid *fgrid;
hypre_BoxArray *fgrid_boxes;
hypre_Box *fgrid_box;
HYPRE_Int *fgrid_ids;
hypre_StructGrid *cgrid;
hypre_BoxArray *cgrid_boxes;
hypre_Box *cgrid_box;
HYPRE_Int *cgrid_ids;
hypre_IndexRef cstart, bfstart, stridef;
hypre_Index fstart, bcstart, stridec;
hypre_Index loop_size;
HYPRE_Int constant_coefficient;
HYPRE_Int fi, ci, fbi;
hypre_Box *A_dbox;
hypre_Box *P_dbox;
hypre_Box *RAP_dbox;
hypre_BoxArray *bdy_boxes, *tmp_boxes;
hypre_Box *bdy_box, *fcbox;
double *pb, *pa;
double *a_cc, *a_cw, *a_ce, *a_cb, *a_ca;
double *rap_cc, *rap_cw, *rap_ce;
double *rap_cb, *rap_ca;
double west, east;
double center_int, center_bdy;
HYPRE_Int iA, iAm1, iAp1;
HYPRE_Int iAc;
HYPRE_Int iP, iPm1, iPp1;
HYPRE_Int OffsetA;
HYPRE_Int OffsetP;
stridef = cstride;
hypre_SetIndex(stridec, 1, 1, 1);
fgrid = hypre_StructMatrixGrid(A);
fgrid_boxes = hypre_StructGridBoxes(fgrid);
fgrid_ids = hypre_StructGridIDs(fgrid);
cgrid = hypre_StructMatrixGrid(RAP);
cgrid_boxes = hypre_StructGridBoxes(cgrid);
cgrid_ids = hypre_StructGridIDs(cgrid);
constant_coefficient = hypre_StructMatrixConstantCoefficient(RAP);
hypre_assert( hypre_StructMatrixConstantCoefficient(A) == constant_coefficient );
if ( constant_coefficient==0 )
{
hypre_assert( hypre_StructMatrixConstantCoefficient(R) == 0 );
hypre_assert( hypre_StructMatrixConstantCoefficient(P) == 0 );
}
else /* 1 or 2 */
{
hypre_assert( hypre_StructMatrixConstantCoefficient(R) == 1 );
hypre_assert( hypre_StructMatrixConstantCoefficient(P) == 1 );
}
fcbox = hypre_BoxCreate();
bdy_boxes = hypre_BoxArrayCreate(0);
tmp_boxes = hypre_BoxArrayCreate(0);
fi = 0;
hypre_ForBoxI(ci, cgrid_boxes)
{
while (fgrid_ids[fi] != cgrid_ids[ci])
{
fi++;
}
cgrid_box = hypre_BoxArrayBox(cgrid_boxes, ci);
fgrid_box = hypre_BoxArrayBox(fgrid_boxes, fi);
cstart = hypre_BoxIMin(cgrid_box);
hypre_StructMapCoarseToFine(cstart, cindex, cstride, fstart);
A_dbox = hypre_BoxArrayBox(hypre_StructMatrixDataSpace(A), fi);
P_dbox = hypre_BoxArrayBox(hypre_StructMatrixDataSpace(P), fi);
RAP_dbox = hypre_BoxArrayBox(hypre_StructMatrixDataSpace(RAP), ci);
/*-----------------------------------------------------------------
* Extract pointers for interpolation operator:
* pb is pointer for weight for f-point below c-point
* pa is pointer for weight for f-point above c-point
*-----------------------------------------------------------------*/
hypre_SetIndex(index_temp,0,-1,0);
MapIndex(index_temp, cdir, index);
pa = hypre_StructMatrixExtractPointerByIndex(P, fi, index);
hypre_SetIndex(index_temp,0,1,0);
MapIndex(index_temp, cdir, index);
pb = hypre_StructMatrixExtractPointerByIndex(P, fi, index) -
hypre_BoxOffsetDistance(P_dbox, index);
/*-----------------------------------------------------------------
* Extract pointers for 5-point fine grid operator:
*
* a_cc is pointer for center coefficient
* a_cw is pointer for west coefficient
* a_ce is pointer for east coefficient
* a_cb is pointer for below coefficient
* a_ca is pointer for above coefficient
*-----------------------------------------------------------------*/
hypre_SetIndex(index_temp,0,0,0);
MapIndex(index_temp, cdir, index);
a_cc = hypre_StructMatrixExtractPointerByIndex(A, fi, index);
hypre_SetIndex(index_temp,-1,0,0);
MapIndex(index_temp, cdir, index);
a_cw = hypre_StructMatrixExtractPointerByIndex(A, fi, index);
hypre_SetIndex(index_temp,1,0,0);
MapIndex(index_temp, cdir, index);
a_ce = hypre_StructMatrixExtractPointerByIndex(A, fi, index);
hypre_SetIndex(index_temp,0,-1,0);
MapIndex(index_temp, cdir, index);
a_cb = hypre_StructMatrixExtractPointerByIndex(A, fi, index);
hypre_SetIndex(index_temp,0,1,0);
MapIndex(index_temp, cdir, index);
a_ca = hypre_StructMatrixExtractPointerByIndex(A, fi, index);
/*-----------------------------------------------------------------
* Extract pointers for coarse grid operator
* rap_cc is pointer for center coefficient (etc.)
*-----------------------------------------------------------------*/
hypre_SetIndex(index_temp,0,0,0);
MapIndex(index_temp, cdir, index);
rap_cc = hypre_StructMatrixExtractPointerByIndex(RAP, ci, index);
hypre_SetIndex(index_temp,-1,0,0);
MapIndex(index_temp, cdir, index);
rap_cw = hypre_StructMatrixExtractPointerByIndex(RAP, ci, index);
hypre_SetIndex(index_temp,1,0,0);
MapIndex(index_temp, cdir, index);
rap_ce = hypre_StructMatrixExtractPointerByIndex(RAP, ci, index);
hypre_SetIndex(index_temp,0,-1,0);
MapIndex(index_temp, cdir, index);
rap_cb = hypre_StructMatrixExtractPointerByIndex(RAP, ci, index);
hypre_SetIndex(index_temp,0,1,0);
MapIndex(index_temp, cdir, index);
rap_ca = hypre_StructMatrixExtractPointerByIndex(RAP, ci, index);
/*-----------------------------------------------------------------
* Define offsets for fine grid stencil and interpolation
*
* In the BoxLoop below I assume iA and iP refer to data associated
* with the point which we are building the stencil for. The below
* Offsets are used in refering to data associated with other points.
*-----------------------------------------------------------------*/
hypre_SetIndex(index_temp,0,1,0);
MapIndex(index_temp, cdir, index);
OffsetP = hypre_BoxOffsetDistance(P_dbox,index);
OffsetA = hypre_BoxOffsetDistance(A_dbox,index);
/*--------------------------------------------------------------
* Loop for symmetric 5-point fine grid operator; produces a
* symmetric 5-point coarse grid operator.
*--------------------------------------------------------------*/
if ( constant_coefficient==0 )
{
hypre_BoxGetSize(cgrid_box, loop_size);
hypre_BoxLoop3Begin(hypre_StructMatrixDim(A), loop_size,
P_dbox, cstart, stridec, iP,
A_dbox, fstart, stridef, iA,
RAP_dbox, cstart, stridec, iAc);
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(HYPRE_BOX_PRIVATE,iP,iA,iAc,iAm1,iAp1,iPm1,iPp1,west,east) HYPRE_SMP_SCHEDULE
#endif
hypre_BoxLoop3For(iP, iA, iAc)
{
iAm1 = iA - OffsetA;
iAp1 = iA + OffsetA;
iPm1 = iP - OffsetP;
iPp1 = iP + OffsetP;
rap_cb[iAc] = a_cb[iA] * pa[iPm1];
rap_ca[iAc] = a_ca[iA] * pb[iPp1];
west = a_cw[iA] + 0.5 * a_cw[iAm1] + 0.5 * a_cw[iAp1];
east = a_ce[iA] + 0.5 * a_ce[iAm1] + 0.5 * a_ce[iAp1];
/*-----------------------------------------------------
* Prevent non-zero entries reaching off grid
*-----------------------------------------------------*/
if(a_cw[iA] == 0.0) west = 0.0;
if(a_ce[iA] == 0.0) east = 0.0;
rap_cw[iAc] = west;
rap_ce[iAc] = east;
rap_cc[iAc] = a_cc[iA] + a_cw[iA] + a_ce[iA]
+ a_cb[iA] * pb[iP] + a_ca[iA] * pa[iP]
- west - east;
}
hypre_BoxLoop3End(iP, iA, iAc);
}
else if ( constant_coefficient==1 )
{
rap_cb[0] = rap_ca[0] = a_cb[0] * pa[0];
rap_cw[0] = rap_ce[0] = 2.0*a_cw[0];
rap_cc[0] = a_cc[0] - 2.0*( a_cw[0] - rap_cb[0] );
}
else if ( constant_coefficient==2 )
{
/* NOTE: This does not reduce to either of the above operators unless
* the row sum is zero and the interpolation weights are 1/2 */
rap_cb[0] = rap_ca[0] = 0.5*a_cb[0];
rap_cw[0] = rap_ce[0] = 2.0*a_cw[0];
center_int = 3.0*a_cb[0];
center_bdy = 0.5*a_cb[0] + (a_cw[0] + a_cb[0]);
hypre_BoxGetSize(cgrid_box, loop_size);
hypre_BoxLoop2Begin(hypre_StructMatrixDim(A), loop_size,
A_dbox, fstart, stridef, iA,
RAP_dbox, cstart, stridec, iAc);
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(HYPRE_BOX_PRIVATE,iA,iAc) HYPRE_SMP_SCHEDULE
#endif
hypre_BoxLoop2For(iA, iAc)
{
rap_cc[iAc] = 2.0*a_cc[iA] + center_int;
}
hypre_BoxLoop2End(iA, iAc);
hypre_CopyBox(cgrid_box, fcbox);
hypre_StructMapCoarseToFine(hypre_BoxIMin(fcbox), cindex, cstride,
hypre_BoxIMin(fcbox));
hypre_StructMapCoarseToFine(hypre_BoxIMax(fcbox), cindex, cstride,
hypre_BoxIMax(fcbox));
hypre_BoxArraySetSize(bdy_boxes, 0);
if (hypre_BoxIMinD(fcbox, cdir) == hypre_BoxIMinD(fgrid_box, cdir))
{
hypre_BoxBoundaryIntersect(fcbox, fgrid, cdir, -1, bdy_boxes);
}
if (hypre_BoxIMaxD(fcbox, cdir) == hypre_BoxIMaxD(fgrid_box, cdir))
{
hypre_BoxBoundaryIntersect(fcbox, fgrid, cdir, 1, tmp_boxes);
hypre_AppendBoxArray(tmp_boxes, bdy_boxes);
}
hypre_ForBoxI(fbi, bdy_boxes)
{
bdy_box = hypre_BoxArrayBox(bdy_boxes, fbi);
hypre_BoxGetSize(bdy_box, loop_size);
bfstart = hypre_BoxIMin(bdy_box);
hypre_StructMapFineToCoarse(bfstart, cindex, cstride, bcstart);
hypre_BoxLoop2Begin(hypre_StructMatrixDim(A), loop_size,
A_dbox, bfstart, stridef, iA,
RAP_dbox, bcstart, stridec, iAc);
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(HYPRE_BOX_PRIVATE,iA,iAc) HYPRE_SMP_SCHEDULE
#endif
hypre_BoxLoop2For(iA, iAc)
{
rap_cc[iAc] -= 0.5*a_cc[iA] + center_bdy;
}
hypre_BoxLoop2End(iA, iAc);
}
}
} /* end ForBoxI */
hypre_BoxDestroy(fcbox);
hypre_BoxArrayDestroy(bdy_boxes);
hypre_BoxArrayDestroy(tmp_boxes);
return hypre_error_flag;
}
|
LPfold.c | /* Last changed Time-stamp: <2009-02-18 14:19:51 ivo> */
/*
local pair probabilities for RNA secondary structures
Stephan Bernhart, Ivo L Hofacker
Vienna RNA package
*/
/*
todo: compute energy z-score for each window
*/
#include <config.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <math.h>
#include <float.h> /* #defines FLT_MAX ... */
#include "utils.h"
#include "energy_par.h"
#include "fold_vars.h"
#include "pair_mat.h"
#include "PS_dot.h"
#include "part_func.h"
#include "params.h"
#include "loop_energies.h"
#include "LPfold.h"
#include "Lfold.h"
#ifdef _OPENMP
#include <omp.h>
#endif
/*@unused@*/
PRIVATE char rcsid[] UNUSED = "$Id: LPfold.c,v 1.8 2009/02/18 20:34:38 ivo Exp $";
#define ISOLATED 256.0
/*
#################################
# GLOBAL VARIABLES #
#################################
*/
/*
#################################
# PRIVATE VARIABLES #
#################################
*/
PRIVATE float cutoff;
PRIVATE int num_p=0; /* for counting basepairs in pairlist pl, can actually be moved into pfl_fold */
PRIVATE FLT_OR_DBL *expMLbase=NULL;
PRIVATE FLT_OR_DBL **q=NULL, **qb=NULL, **qm=NULL, *qqm=NULL, *qqm1=NULL, *qq=NULL, *qq1=NULL, **pR=NULL, **qm2=NULL, **QI5=NULL, **q2l=NULL, **qmb=NULL;/*,**QI3,*/
PRIVATE FLT_OR_DBL *prml=NULL, *prm_l=NULL, *prm_l1=NULL, *q1k=NULL, *qln=NULL;
PRIVATE FLT_OR_DBL *scale=NULL;
PRIVATE char **ptype=NULL; /* precomputed array of pair types */
PRIVATE int *jindx=NULL;
PRIVATE int *my_iindx=NULL;
PRIVATE int init_length = 0; /* length in last call to init_pf_fold() */
PRIVATE pf_paramT *pf_params=NULL;
PRIVATE short *S=NULL, *S1=NULL;
PRIVATE int unpaired;
PRIVATE int ulength;
PRIVATE int pUoutput;
PRIVATE double alpha = 1.0;
#ifdef _OPENMP
/* NOTE: all variables are assumed to be uninitialized if they are declared as threadprivate
*/
#pragma omp threadprivate(cutoff, num_p, scale, ptype, jindx, my_iindx, init_length, pf_params,\
expMLbase, q, qb, qm, qqm, qqm1, qq, qq1, pR, qm2, QI5, q2l, qmb,\
prml, prm_l, prm_l1, q1k, qln,\
S, S1, unpaired, ulength, pUoutput, alpha)
#endif
/*
#################################
# PRIVATE FUNCTION DECLARATIONS #
#################################
*/
PRIVATE void init_partfunc_L(int length, pf_paramT *parameters);
PRIVATE void get_arrays_L(unsigned int length);
PRIVATE void free_pf_arrays_L(void);
PRIVATE void scale_pf_params(unsigned int length, pf_paramT *parameters);
PRIVATE void GetPtype(int j, int pairsize, const short *S, int n);
PRIVATE void FreeOldArrays(int i);
PRIVATE void GetNewArrays(int j, int winSize);
PRIVATE void printpbar(FLT_OR_DBL **prb,int winSize, int i, int n);
PRIVATE plist *get_deppp(struct plist *pl, int start, int pairsize, int length);
PRIVATE plist *get_plistW(struct plist *pl, int length, int start, FLT_OR_DBL **Tpr, int winSize);
PRIVATE void print_plist(int length, int start, FLT_OR_DBL **Tpr, int winSize, FILE *fp);
PRIVATE void compute_pU(int k, int ulength, double **pU, int winSize, int n, char *sequence);
PRIVATE void putoutpU(double **pU,int k, int ulength, FILE *fp);
/*PRIVATE void make_ptypes(const short *S, const char *structure);*/
PRIVATE void putoutpU_splitup(double **pUx, int k, int ulength, FILE *fp, char ident);
PRIVATE void compute_pU_splitup(int k, int ulength, double **pU, double **pUO, double **pUH, double **pUI, double **pUM, int winSize,int n, char *sequence);
/*
#################################
# BEGIN OF FUNCTION DEFINITIONS #
#################################
*/
PRIVATE void init_partfunc_L(int length, pf_paramT *parameters){
if (length<1) nrerror("init_partfunc_L: length must be greater 0");
#ifdef _OPENMP
/* Explicitly turn off dynamic threads */
omp_set_dynamic(0);
free_pf_arrays_L(); /* free previous allocation */
#else
if (init_length>0) free_pf_arrays_L(); /* free previous allocation */
#endif
#ifdef SUN4
nonstandard_arithmetic();
#else
#ifdef HP9
fpsetfastmode(1);
#endif
#endif
make_pair_matrix();
get_arrays_L((unsigned) length);
scale_pf_params((unsigned) length, parameters);
#ifndef _OPENMP
init_length = length;
#endif
}
PRIVATE void get_arrays_L(unsigned int length){
/*arrays in 2 dimensions*/
q = (FLT_OR_DBL **) space(sizeof(FLT_OR_DBL *)*(length+1));
qb = (FLT_OR_DBL **) space(sizeof(FLT_OR_DBL *)*(length+1));
qm = (FLT_OR_DBL **) space(sizeof(FLT_OR_DBL *)*(length+1));
pR = (FLT_OR_DBL **) space(sizeof(FLT_OR_DBL *)*(length+1));
q1k = (FLT_OR_DBL *) space(sizeof(FLT_OR_DBL) *(length+1));
qln = (FLT_OR_DBL *) space(sizeof(FLT_OR_DBL) *(length+2));
qq = (FLT_OR_DBL *) space(sizeof(FLT_OR_DBL) *(length+2));
qq1 = (FLT_OR_DBL *) space(sizeof(FLT_OR_DBL) *(length+2));
qqm = (FLT_OR_DBL *) space(sizeof(FLT_OR_DBL) *(length+2));
qqm1 = (FLT_OR_DBL *) space(sizeof(FLT_OR_DBL) *(length+2));
prm_l = (FLT_OR_DBL *) space(sizeof(FLT_OR_DBL) *(length+2));
prm_l1 = (FLT_OR_DBL *) space(sizeof(FLT_OR_DBL) *(length+2));
prml = (FLT_OR_DBL *) space(sizeof(FLT_OR_DBL) *(length+2));
expMLbase = (FLT_OR_DBL *) space(sizeof(FLT_OR_DBL) *(length+1));
scale = (FLT_OR_DBL *) space(sizeof(FLT_OR_DBL) *(length+1));
ptype = (char **) space(sizeof(char *) *(length+2));
if (ulength>0) {
/* QI3 = (FLT_OR_DBL **) space((length+1)*sizeof(FLT_OR_DBL *));*/
QI5 = (FLT_OR_DBL **) space((length+1)*sizeof(FLT_OR_DBL *));
qmb = (FLT_OR_DBL **) space((length+1)*sizeof(FLT_OR_DBL *));
qm2 = (FLT_OR_DBL **) space((length+1)*sizeof(FLT_OR_DBL *));
q2l = (FLT_OR_DBL **) space((length+1)*sizeof(FLT_OR_DBL *));
}
my_iindx = get_iindx(length);
iindx = get_iindx(length); /* for backward compatibility and Perl wrapper */
jindx = get_indx(length);
}
PRIVATE void free_pf_arrays_L(void){
if(q) free(q);
if(qb) free(qb);
if(qm) free(qm);
if(pR) free(pR);
if(qm2) free(qm2);
if(qq) free(qq);
if(qq1) free(qq1);
if(qqm) free(qqm);
if(qqm1) free(qqm1);
if(q1k) free(q1k);
if(qln) free(qln);
if(prm_l) free(prm_l);
if(prm_l1) free(prm_l1);
if(prml) free(prml);
if(expMLbase) free(expMLbase);
if(scale) free(scale);
if(my_iindx) free(my_iindx);
if(iindx) free(iindx); /* for backward compatibility and Perl wrapper */
if(jindx) free(jindx);
if(ptype) free(ptype);
if(QI5) free(QI5);
if(qmb) free(qmb);
if(q2l) free(q2l);
if(pf_params) free(pf_params);
q = qb = qm = pR = QI5 = qmb = qm2 = q2l = NULL;
qq = qq1 = qqm = qqm1 = q1k = qln = prml = prm_l = prm_l1 = expMLbase = NULL;
my_iindx = jindx = iindx = NULL;
pf_params = NULL;
ptype = NULL;
scale = NULL;
#ifdef SUN4
standard_arithmetic();
#else
#ifdef HP9
fpsetfastmode(0);
#endif
#endif
#ifndef _OPENMP
init_length=0;
#endif
}
PUBLIC void update_pf_paramsLP(int length){
update_pf_paramsLP_par(length, NULL);
}
PUBLIC void update_pf_paramsLP_par(int length, pf_paramT *parameters){
#ifdef _OPENMP
init_partfunc_L(length, parameters);
#else
if(parameters) init_partfunc_L(length, parameters);
else if (length > init_length) init_partfunc_L(length, parameters);
else {
/* make_pair_matrix();*/
scale_pf_params((unsigned) length, parameters);
}
#endif
}
PUBLIC plist *pfl_fold( char *sequence,
int winSize,
int pairSize,
float cutoffb,
double **pU,
struct plist **dpp2,
FILE *pUfp,
FILE *spup){
return pfl_fold_par(sequence, winSize, pairSize, cutoffb, pU, dpp2, pUfp, spup, NULL);
}
PUBLIC plist *pfl_fold_par( char *sequence,
int winSize,
int pairSize,
float cutoffb,
double **pU,
struct plist **dpp2,
FILE *pUfp,
FILE *spup,
pf_paramT *parameters){
int n, m, i, j, k, l, u, u1, ii, type, type_2, tt, ov, do_dpp, simply_putout, noGUclosure;
double max_real;
FLT_OR_DBL temp, Qmax, prm_MLb, prmt, prmt1, qbt1, *tmp, expMLclosing;
plist *dpp, *pl;
int split=0;
ov = 0;
Qmax = 0;
do_dpp = 0;
simply_putout = 0;
dpp = NULL;
pl = NULL;
pUoutput = 0;
ulength = 0;
cutoff = cutoffb;
if(pU != NULL) ulength = (int)pU[0][0]+0.49;
if(spup !=NULL) simply_putout = 1; /*can't have one without the other*/
if(pUfp!=NULL) pUoutput = 1;
else if((pUoutput)&&(ulength!=0)){
fprintf(stderr, "There was a problem with non existing File Pointer for unpaireds, terminating process\n");
return pl;
}
dpp = *dpp2;
if(dpp !=NULL) do_dpp=1;
n = (int) strlen(sequence);
if (n<TURN+2) return 0;
#ifdef _OPENMP
/* always init everything since all global static variables are uninitialized when entering a thread */
init_partfunc_L(n, parameters);
#else
if(parameters) init_partfunc_L(n, parameters);
else if (n > init_length) init_partfunc_L(n, parameters);
else if (fabs(pf_params->temperature - temperature)>1e-6) update_pf_paramsLP_par(n, parameters);
#endif
expMLclosing = pf_params->expMLclosing;
noGUclosure = pf_params->model_details.noGUclosure;
max_real = (sizeof(FLT_OR_DBL) == sizeof(float)) ? FLT_MAX : DBL_MAX;
S = encode_sequence(sequence, 0);
S1 = encode_sequence(sequence, 1);
/* make_ptypes(S, structure); das machmadochlieber lokal, ey!*/
/*here, I allocate memory for pU, if has to be saved, I allocate all in one go,
if pU is put out and freed, I only allocate what I really need*/
if (ulength>0){
if (pUoutput) {
for (i=1; i<=ulength; i++) pU[i]=(double *)space((MAX2(MAXLOOP,ulength)+2)*sizeof(double));
}
else {
for (i=1; i<=n; i++) pU[i]=(double *)space((MAX2(MAXLOOP,ulength)+2)*sizeof(double));
}
}
/*array initialization ; qb,qm,q
qb,qm,q (i,j) are stored as ((n+1-i)*(n-i) div 2 + n+1-j */
num_p = 0;
pl = (struct plist *)space(1000*sizeof(struct plist));
/*ALWAYS q[i][j] => i>j!!*/
for (j=1; j<MIN2(TURN+2,n); j++) { /*allocate start*/
GetNewArrays(j, winSize);
GetPtype(j,pairSize,S,n);
for (i=1; i<=j; i++) q[i][j]=scale[(j-i+1)];
}
for (j=TURN+2;j<=n+winSize; j++) {
if (j<=n) {
GetNewArrays(j, winSize);
GetPtype(j,pairSize,S,n);
for (i=MAX2(1,j-winSize); i<=j/*-TURN*/; i++)
q[i][j]=scale[(j-i+1)];
for (i=j-TURN-1;i>=MAX2(1,(j-winSize+1)); i--) {
/* construction of partition function of segment i,j*/
/*firstly that given i bound to j : qb(i,j) */
u = j-i-1;
type = ptype[i][j];
if (type!=0) {
/*hairpin contribution*/
if (((type==3)||(type==4))&&noGUclosure) qbt1 = 0;
else
qbt1 = exp_E_Hairpin(u, type, S1[i+1], S1[j-1], sequence+i-1, pf_params) * scale[u+2];
/* interior loops with interior pair k,l */
for (k=i+1; k<=MIN2(i+MAXLOOP+1,j-TURN-2); k++) {
u1 = k-i-1;
for (l=MAX2(k+TURN+1,j-1-MAXLOOP+u1); l<j; l++) {
type_2 = ptype[k][l];
if (type_2) {
type_2 = rtype[type_2];
qbt1 += qb[k][l] *
exp_E_IntLoop(u1, j-l-1, type, type_2,
S1[i+1], S1[j-1], S1[k-1], S1[l+1], pf_params) * scale[k-i+j-l];
}
}
}
/*multiple stem loop contribution*/
ii = my_iindx[i+1]; /* ii-k=[i+1,k-1] */
temp = 0.0;
for (k=i+2; k<=j-1; k++) temp += qm[i+1][k-1]*qqm1[k];
tt = rtype[type];
qbt1 += temp * expMLclosing * exp_E_MLstem(tt, S1[j-1], S1[i+1], pf_params) * scale[2];
qb[i][j] = qbt1;
} /* end if (type!=0) */
else qb[i][j] = 0.0;
/* construction of qqm matrix containing final stem
contributions to multiple loop partition function
from segment i,j */
qqm[i] = qqm1[i]*expMLbase[1];
if (type) {
qbt1 = qb[i][j] * exp_E_MLstem(type, (i>1) ? S1[i-1] : -1, (j<n) ? S1[j+1] : -1, pf_params);
qqm[i] += qbt1;
}
/*construction of qm matrix containing multiple loop
partition function contributions from segment i,j */
temp = 0.0;
/*ii = my_iindx[i]; ii-k=[i,k-1] */
/*new qm2 computation done here*/
for (k=i+1; k<=j; k++) temp += (qm[i][k-1])*qqm[k];
if (ulength>0) qm2[i][j]=temp;/*new qm2 computation done here*/
for (k=i+1; k<=j; k++) temp += expMLbase[k-i] * qqm[k];
qm[i][j] = (temp + qqm[i]);
/*auxiliary matrix qq for cubic order q calculation below */
qbt1 = qb[i][j];
if (type) {
qbt1 *= exp_E_ExtLoop(type, (i>1) ? S1[i-1] : -1, (j < n) ? S1[j+1] : -1, pf_params);
}
qq[i] = qq1[i]*scale[1] + qbt1;
/*construction of partition function for segment i,j */
temp = 1.0*scale[1+j-i] + qq[i];
for (k=i; k<=j-1; k++) temp += q[i][k]*qq[k+1];
q[i][j] = temp;
if (temp>Qmax) {
Qmax = temp;
if (Qmax>max_real/10.)
fprintf(stderr, "Q close to overflow: %d %d %g\n", i,j,temp);
}
if (temp>=max_real) {
PRIVATE char msg[128];
snprintf(msg, 128, "overflow in pf_fold while calculating q[%d,%d]\n"
"use larger pf_scale", i,j);
nrerror(msg);
}
} /*end for i*/
tmp = qq1; qq1 =qq; qq =tmp;
tmp = qqm1; qqm1=qqm; qqm=tmp;
}
/* just as a general service, I save here the free energy of the windows
no output is generated, however,...
*/
if ((j>=winSize) && (j<=n) && (ulength) && !(pUoutput)) {
double Fwindow=0.;
Fwindow=(-log(q[j-winSize+1][j])-winSize*log(pf_params->pf_scale))*pf_params->kT/1000.0;
pU[j][0]=Fwindow;
/*
if (ulength>=winSize)
pU[j][winSize]=scale[winSize]/q[j-winSize+1][j];
*/
}
if (j>winSize) {
Qmax=0;
/* i=j-winSize; */
/* initialize multiloopfs */
for (k=j-winSize; k<=MIN2(n,j); k++) {
prml[k]=0;
prm_l[k]=0;
/* prm_l1[k]=0; others stay*/
}
prm_l1[j-winSize]=0;
k=j-winSize;
for (l=k+TURN+1; l<=MIN2(n,k+winSize-1); l++) {
int a;
pR[k][l] = 0; /* set zero at start */
type=ptype[k][l];
if (qb[k][l]==0) continue;
for (a=MAX2(1,l-winSize+2); a<MIN2(k,n-winSize+2);a++)
pR[k][l]+=q[a][k-1]*q[l+1][a+winSize-1]/q[a][a+winSize-1];
if (l-k+1==winSize)
pR[k][l]+=1./q[k][l];
else {
if (k+winSize-1<=n) /* k outermost */
pR[k][l]+=q[l+1][k+winSize-1]/q[k][k+winSize-1];
if (l-winSize+1>=1) /*l outermost*/
pR[k][l]+=q[l-winSize+1][k-1]/q[l-winSize+1][l];
}
pR[k][l] *= exp_E_ExtLoop(type, (k>1) ? S1[k-1] : -1, (l<n) ? S1[l+1] : -1, pf_params);
type_2 = ptype[k][l];
type_2 = rtype[type_2];
for (i=MAX2(MAX2(l-winSize+1,k-MAXLOOP-1),1); i<=k-1; i++) {
for (m=l+1; m<=MIN2(MIN2(l+ MAXLOOP -k+i+2,i+winSize-1),n); m++) {
type = ptype[i][m];
if ((pR[i][m]>0))
pR[k][l] += pR[i][m]*exp_E_IntLoop(k-i-1, m-l-1, type, type_2,
S1[i+1], S1[m-1], S1[k-1], S1[l+1], pf_params) * scale[k-i+m-l];
}
}
if (ulength) { /* NOT IF WITHIN INNER LOOP */
for (i=MAX2(MAX2(l-winSize+1,k-MAXLOOP-1),1); i<=k-1; i++) {
for (m=l+1; m<=MIN2(MIN2(l+ MAXLOOP -k+i+2,i+winSize-1),n); m++) {
type = ptype[i][m];
if ((pR[i][m]>0)){
temp=pR[i][m]*qb[k][l]*exp_E_IntLoop(k-i-1, m-l-1, type, type_2,
S1[i+1], S1[m-1], S1[k-1], S1[l+1], pf_params) * scale[k-i+m-l];
QI5[l][m-l-1]+=temp;
QI5[i][k-i-1]+=temp;
}
}
}
}
}
/* 3. bonding k,l as substem of multi-loop enclosed by i,m */
prm_MLb = 0.;
if(k>1) /*sonst nix!*/
for (l=MIN2(n-1,k+winSize-2); l>=k+TURN+1; l--) { /* opposite direction */
m=l+1;
prmt = prmt1 = 0.0;
tt = ptype[k-1][m]; tt=rtype[tt];
prmt1 = pR[k-1][m] * expMLclosing * exp_E_MLstem(tt, S1[l], S1[k], pf_params);
for (i=MAX2(1,l-winSize+2); i<k-1/*TURN*/; i++) {
tt = ptype[i][m]; tt = rtype[tt];
prmt += pR[i][m] * exp_E_MLstem(tt, S1[m-1], S1[i+1], pf_params) * qm[i+1][k-1];
}
tt = ptype[k][l];
prmt *= expMLclosing;
prml[ m] = prmt;
prm_l[m] = prm_l1[m]*expMLbase[1]+prmt1;
prm_MLb = prm_MLb*expMLbase[1] + prml[m];
/* same as: prm_MLb = 0;
for (i=n; i>k; i--) prm_MLb += prml[i]*expMLbase[k-i-1];
*/
prml[m] = prml[ m] + prm_l[m];
if (qb[k][l] == 0.) continue;
temp = prm_MLb;
if (ulength) {
double dang;
/* coefficient for computations of unpairedarrays */
dang = qb[k][l] * exp_E_MLstem(tt, S1[k-1], S1[l+1], pf_params) * scale[2];
for (m=MIN2(k+winSize-2,n);m>=l+2; m--){
qmb[l][m-l-1] += prml[m]*dang;
q2l[l][m-l-1] += (prml[m]-prm_l[m])*dang;
}
}
for (m=MIN2(k+winSize-2,n);m>=l+2; m--)
temp += prml[m]*qm[l+1][m-1];
temp *= exp_E_MLstem(tt, (k>1) ? S1[k-1] : -1, (l<n) ? S1[l+1] : -1, pf_params) * scale[2];
pR[k][l] += temp;
if (pR[k][l]>Qmax) {
Qmax = pR[k][l];
if (Qmax>max_real/10.)
fprintf(stderr, "P close to overflow: %d %d %g %g\n",
i, m, pR[k][l], qb[k][l]);
}
if (pR[k][l]>=max_real) {
ov++;
pR[k][l]=FLT_MAX;
}
} /* end for (l=..) */
tmp = prm_l1; prm_l1=prm_l; prm_l=tmp;
/* end for (l=..) */
if ((ulength)&&(k-MAXLOOP-1>0)){
/* if (pUoutput) pU[k-MAXLOOP-1]=(double *)space((ulength+2)*sizeof(double)); */
if(split){ /*generate the new arrays, if you want them somewhere else, you have to generate them and overgive them ;)*/
double **pUO;
double **pUI;
double **pUM;
double **pUH;
pUO= (double **) space((n+1)*sizeof(double *));
pUI= (double **) space((n+1)*sizeof(double *));
pUM= (double **) space((n+1)*sizeof(double *));
pUH= (double **) space((n+1)*sizeof(double *));
if (pUoutput) {
for (i=1; i<=ulength; i++) {
pUH[i]=(double *)space((MAX2(MAXLOOP,ulength)+2)*sizeof(double));
pUI[i]=(double *)space((MAX2(MAXLOOP,ulength)+2)*sizeof(double));
pUO[i]=(double *)space((MAX2(MAXLOOP,ulength)+2)*sizeof(double));
pUM[i]=(double *)space((MAX2(MAXLOOP,ulength)+2)*sizeof(double));
}
}
//dont want to have that yet?
/* else {
for (i=1; i<=n; i++) pU[i]=(double *)space((MAX2(MAXLOOP,ulength)+2)*sizeof(double));
}*/
compute_pU_splitup(k-MAXLOOP-1,ulength,pU,pUO,pUH, pUI, pUM, winSize, n, sequence);
if (pUoutput) {
putoutpU_splitup(pUO,k-MAXLOOP-1, ulength, pUfp,'E');
putoutpU_splitup(pUH,k-MAXLOOP-1, ulength, pUfp,'H');
putoutpU_splitup(pUI,k-MAXLOOP-1, ulength, pUfp,'I');
putoutpU_splitup(pUM,k-MAXLOOP-1, ulength, pUfp,'M');
}
}
else {
compute_pU(k-MAXLOOP-1,ulength,pU, winSize, n, sequence);
/* here, we put out and free pUs not in use any more (hopefully) */
if (pUoutput)
putoutpU(pU,k-MAXLOOP-1, ulength, pUfp);
}
}
if (j-(2*winSize+MAXLOOP+1)>0) {
printpbar(pR,winSize,j-(2*winSize+MAXLOOP+1),n);
if (simply_putout) {
print_plist(n, j-(2*winSize+MAXLOOP+1), pR, winSize, spup);
}
else{
pl=get_plistW(pl, n, j-(2*winSize+MAXLOOP+1), pR, winSize);
}
if (do_dpp)dpp=get_deppp(dpp,j-(2*winSize-MAXLOOP),pairSize, n);
FreeOldArrays(j-(2*winSize+MAXLOOP+1));
}
} /* end if (do_backtrack)*/
}/* end for j */
/* finish output and free */
for (j=MAX2(1,n-MAXLOOP); j<=n;j++) {
/* if (pUoutput) pU[j]=(double *)space((ulength+2)*sizeof(double)); */
if (ulength) compute_pU(j,ulength,pU, winSize, n, sequence);
/*here, we put out and free pUs not in use any more (hopefully)*/
if (pUoutput) putoutpU(pU,j, ulength, pUfp);
}
for (j=MAX2(n-winSize-MAXLOOP,1); j<=n; j++) {
printpbar(pR,winSize,j,n);
if (simply_putout) {
print_plist(n, j, pR, winSize, spup);
}
else {
pl=get_plistW(pl, n, j, pR, winSize);
}
if ((do_dpp)&&j<n) dpp=get_deppp(dpp,j,pairSize, n);
FreeOldArrays(j);
}
/* free_pf_arrays_L(); */
free(S);
free(S1);
S = S1 = NULL;
if (ov>0) fprintf(stderr, "%d overflows occurred while backtracking;\n"
"you might try a smaller pf_scale than %g\n",
ov, pf_params->pf_scale);
*dpp2=dpp;
return pl;
}
PRIVATE void scale_pf_params(unsigned int length, pf_paramT *parameters){
unsigned int i;
double kT, scaling_factor;
if(pf_params) free(pf_params);
if(parameters){
pf_params = get_boltzmann_factor_copy(parameters);
} else {
model_detailsT md;
set_model_details(&md);
pf_params = get_boltzmann_factors(temperature, alpha, md, pf_scale);
}
scaling_factor = pf_params->pf_scale;
kT = pf_params->kT; /* kT in cal/mol */
/* scaling factors (to avoid overflows) */
if (scaling_factor == -1) { /* mean energy for random sequences: 184.3*length cal */
scaling_factor = exp(-(-185+(pf_params->temperature-37.)*7.27)/kT);
if (scaling_factor<1) scaling_factor=1;
pf_params->pf_scale = scaling_factor;
}
scale[0] = 1.;
scale[1] = 1./scaling_factor;
expMLbase[0] = 1;
expMLbase[1] = pf_params->expMLbase/scaling_factor;
for (i=2; i<=length; i++) {
scale[i] = scale[i/2]*scale[i-(i/2)];
expMLbase[i] = pow(pf_params->expMLbase, (double)i) * scale[i];
}
}
PRIVATE void printpbar(FLT_OR_DBL **prb,int winSize, int i, int n) {
int j;
int howoften=0; /* how many samples do we have for this pair */
int pairdist;
for (j=i+TURN; j<MIN2(i+winSize,n+1); j++) {
pairdist=(j-i+1);
/*4cases*/
howoften=MIN2(winSize-pairdist+1,i); /*pairdist,start*/
howoften=MIN2(howoften,n-j+1); /*end*/
howoften=MIN2(howoften,n-winSize+1); /*windowsize*/
prb[i][j] *= qb[i][j]/howoften;
}
return;
}
PRIVATE void FreeOldArrays(int i) {
/*free arrays no longer needed*/
free(pR[i]+i);
free(q[i]+i);
free(qb[i]+i);
free(qm[i]+i);
if (ulength!=0) {
free(qm2[i]+i);
free(QI5[i]);
free(qmb[i]);
free(q2l[i]);
}
free(ptype[i]+i);
return;
}
PRIVATE void GetNewArrays(int j, int winSize) {
/*allocate new part of arrays*/
pR[j]=(FLT_OR_DBL *)space((winSize+1)*sizeof(FLT_OR_DBL));
pR[j]-=j;
q[j]=(FLT_OR_DBL *)space((winSize+1)*sizeof(FLT_OR_DBL));
q[j]-=j;
qb[j]=(FLT_OR_DBL *)space((winSize+1)*sizeof(FLT_OR_DBL));
qb[j]-=j;
qm[j]=(FLT_OR_DBL *)space((winSize+1)*sizeof(FLT_OR_DBL));
qm[j]-=j;
if (ulength!=0) {
qm2[j]=(FLT_OR_DBL *)space((winSize+1)*sizeof(FLT_OR_DBL));
qm2[j]-=j;
QI5[j]=(FLT_OR_DBL *)space((winSize+1)*sizeof(FLT_OR_DBL));
qmb[j]=(FLT_OR_DBL *)space((winSize+1)*sizeof(FLT_OR_DBL));
q2l[j]=(FLT_OR_DBL *)space((winSize+1)*sizeof(FLT_OR_DBL));
}
ptype[j]=(char *)space((winSize+1)*sizeof(char));
ptype[j]-=j;
return;
}
PRIVATE void GetPtype(int i, int winSize,const short *S,int n) {
/*make new entries in ptype array*/
int j;
int type;
for (j=i; j<=MIN2(i+winSize,n); j++) {
type = pair[S[i]][S[j]];
ptype[i][j] = (char) type;
}
return;
}
PRIVATE plist *get_plistW(plist *pl, int length,
int start, FLT_OR_DBL **Tpr, int winSize) {
/* get pair probibilities out of pr array */
int j, max_p;
max_p=1000;
while (max_p<num_p)
max_p*=2;
for (j=start+1; j<=MIN2(start+winSize, length); j++) {
if (Tpr[start][j]<cutoff) continue;
if (num_p==max_p-1) {
max_p*=2;
pl=(plist *)xrealloc(pl,max_p*sizeof(plist));
}
pl[num_p].i=start;
pl[num_p].j=j;
pl[num_p++].p=Tpr[start][j];
}
/* mark end of data with zeroes */
pl[num_p].i=0;
pl[num_p].j=0;
pl[num_p].p=0.;
/* pl=(struct plist *)xrealloc(pl,(count)*sizeof(struct plist)); */
return pl;
}
PRIVATE plist *get_deppp(plist *pl, int start, int pairsize, int length) {
/* compute dependent pair probabilities */
int i, j, count=0;
double tmp;
plist *temp;
temp=(plist *)space(pairsize*sizeof(plist)); /* holds temporary deppp */
for (j=start+TURN; j<MIN2(start+pairsize,length); j++) {
if ((qb[start][j]*qb[start-1][(j+1)])>10e-200) {
int type=ptype[start-1][j+1];
int type_2=rtype[ptype[start][j]];
tmp=qb[start][j]/qb[start-1][(j+1)]*exp_E_IntLoop(0, 0, type, type_2,
S1[start], S1[j], S1[start-1], S1[j+1], pf_params) * scale[2];
temp[count].i=start;
temp[count].j=j;
temp[count++].p=tmp;
}
}
/* write it to list of deppps */
for (i=0; pl[i].i!=0; i++);
pl=(plist *)xrealloc(pl,(i+count+1)*sizeof(plist));
for (j=0; j<count; j++) {
pl[i+j].i=temp[j].i;
pl[i+j].j=temp[j].j;
pl[i+j].p=temp[j].p;
}
pl[i+count].i=0;
pl[i+count].j=0;
pl[i+count].p=0;
free(temp);
return pl;
}
PRIVATE void print_plist(int length,int start, FLT_OR_DBL **Tpr, int winSize, FILE *fp) {
/* print out of pr array, do not save */
int j;
for (j=start+1; j<=MIN2(start+winSize, length); j++) {
if (Tpr[start][j]<cutoff) continue;
fprintf(fp,"%d %d %g\n",start,j,Tpr[start][j]);
}
/* mark end of data with zeroes */
return ;
}
PRIVATE void compute_pU(int k, int ulength, double **pU, int winSize,int n, char *sequence) {
/* here, we try to add a function computing all unpaired probabilities starting at some i,
going down to $unpaired, to be unpaired, i.e. a list with entries from 1 to unpaired for
every i, with the probability of a stretch of length x, starting at i-x+1, to be unpaired
*/
int startu;
int i5;
int j3, len, obp;
double temp;
double *QBE;
FLT_OR_DBL expMLclosing = pf_params->expMLclosing;
QBE=(double *) space((MAX2(ulength,MAXLOOP)+2)*sizeof(double));
/* first, we will */
/* for k<=ulength, pU[k][k]=0, because no bp can enclose it */
if (pUoutput&&k+ulength<=n) pU[k+ulength]=(double *)space((ulength+2)*sizeof(double));
/*compute pu[k+ulength][ulength] */
for (i5=MAX2(k+ulength-winSize+1,1);i5<=k;i5++) {
for (j3=k+ulength+1; j3<=MIN2(n,i5+winSize-1); j3++) {
/* if (k>400) {
printf("i%d j%d ",i5,j3);
fflush(stdout);
} */
if (ptype[i5][j3]!=0) {/**/
/* (.. >-----|..........)
i5 j j+ulength j3 */
/*Multiloops*/
temp = (i5<k) ? qm2[i5+1][k] * expMLbase[j3-k-1] : 0.; /* (..{}{}-----|......) */
if(j3-1>k+ulength)
temp += qm2[k+ulength+1][j3-1] * expMLbase[k+ulength-i5]; /* (..|-----|{}{}) */
if((i5<k)&&(j3-1>k+ulength))
temp += qm[i5+1][k] * qm[k+ulength+1][j3-1] * expMLbase[ulength]; /* ({}|-----|{}) */
/* add dangles, multloopclosing etc. */
temp *= exp_E_MLstem(rtype[ptype[i5][j3]], S1[j3-1], S1[i5+1], pf_params) * scale[2] * expMLclosing;
/*add hairpins*/
temp += exp_E_Hairpin(j3-i5-1, ptype[i5][j3], S1[i5+1], S1[j3-1], sequence+i5-1, pf_params) * scale[j3-i5+1];
/*add outer probability*/
temp *= pR[i5][j3];
pU[k+ulength][ulength] += temp;
}
}
}
/* code doubling to avoid if within loop */
#if 0
/*initialization for interior loops,
it is not recomended to have verysmall ulengths!!*/
if (ulength<MAXLOOP) {
int k5;
int l3;
int outype;
/* kl bp is 5' */
/* MAXLOOP>((l5-k5-1)+(j3-l3-1)
k-winSize+ulength<i5<k-TURN-1;
k+ulength<j3<=k+MAXLOOP+1
if i then use l3, it is easier by far:
j3-MAXLOOP<=l3<=k
i5<k5<k-TURN k5<=i5+l3+2+MAXLOOP-j3
k5+TURN<l3<=k
*/
for (i5=MAX2(k+ulength-winSize,1);i5<k-TURN-1;i5++) {
for (j3=k+ulength+1; j3<=MIN2(n,MIN2(i5+winSize-1,k+MAXLOOP+1)); j3++) {
double temp=0;
if (outype=ptype[i5][j3]>0) /* oder so halt */
for (l3=MAX2(i5+TURN+1,j3-MAXLOOP-1); l3<=k; l3++){
for (k5=i5+1; k5<=MIN2(l3-TURN-1,MAXLOOP+i5+l3+2-j3); k5++){
if (ptype[k5][l3]) {
temp+= qb[k5][l3]*expLoopEnergy(k5-i5-1, j3-l3-1, outype, rtype[ptype[k5][l3]], S1[i5+1], S1[j3-1], S1[k5-1], S1[l3+1]);
}
}
}
temp*=pR[i5][j3];
pU[k+ulength][ulength]+= temp;
}
}
/* kl bp is 3' */
/*
k+ulength-MAXLOOP<=i5<=k
k+ulength+1+TURN<j3<i5+winSize
k+ulength+1<=k5<i5+MAXLOOP+2 || k5<j3-TURN
k5<l3<j3 || j3-k5-i5-2-ML<=l3<j3
*/
for (i5=MAX2(1,MAX2(k+ulength-winSize,k+ulength-MAXLOOP));i5<=k; i5++){
for (j3=k+ulength+TURN+2; j3<MIN2(n+1,i5+winSize); j3++) {
double temp = 0;
if (outype=ptype[i5][j3]>0) /* oder so halt */
for (k5=k+ulength+1; k5<MIN2(j3-TURN-1,i5+MAXLOOP+2); k5++) {
for (l3=MAX2(k5+TURN+1,j3+k5-i5-2-MAXLOOP); l3<j3; l3++) {
if (ptype[k5][l3])
temp += qb[k5][l3]*expLoopEnergy(k5-i5-1, j3-l3-1, outype, rtype[ptype[k5][l3]], S1[i5+1], S1[j3-1], S1[k5-1], S1[l3+1]);
}
}
temp*=pR[i5][j3];
pU[k+ulength][ulength]+= temp;
}
}
}
/* Add up Is QI5[l][m-l-1] QI3 */
/* Add up Interior loop terms */
temp=0.;
for (len=winSize; len>=ulength; len--) temp+=QI3[k][len];
for (;len>0; len--) {
temp += QI3[k][len];
QBE[len] += temp;
}
#endif
temp=0.;
for (len=winSize; len>=MAX2(ulength,MAXLOOP); len--) temp+=QI5[k][len];
for (;len>0; len--) {
temp += QI5[k][len];
QBE[len] += temp; /* replace QBE with QI */
}
/* Add Hairpinenergy to QBE */
temp=0.;
for(obp = MIN2(n, k + winSize - 1); obp > k + ulength; obp--)
if(ptype[k][obp])
temp += pR[k][obp] * exp_E_Hairpin(obp-k-1, ptype[k][obp], S1[k+1], S1[obp-1], sequence+k-1, pf_params) * scale[obp-k+1];
for(obp = MIN2(n, MIN2(k + winSize - 1, k + ulength)); obp > k + 1; obp--){
if (ptype[k][obp])
temp += pR[k][obp] * exp_E_Hairpin(obp-k-1, ptype[k][obp], S1[k+1], S1[obp-1], sequence+k-1, pf_params) * scale[obp-k+1];
QBE[obp-k-1] += temp; /* add hairpins to QBE (all in one array) */
}
/* doubling the code to get the if out of the loop */
/* Add up Multiloopterms qmb[l][m]+=prml[m]*dang;
q2l[l][m]+=(prml[m]-prm_l[m])*dang; */
temp=0.;
for(len = winSize; len >= ulength; len--)
temp += q2l[k][len] * expMLbase[len];
for( ; len > 0; len--){
temp += q2l[k][len] * expMLbase[len];
QBE[len] += temp; /* add (()()____) type cont. to I3 */
}
for(len = 1; len < ulength; len++){
for(obp = k + len + TURN; obp <= MIN2(n, k + winSize - 1); obp++){
/* add (()___()) */
QBE[len] += qmb[k][obp-k-1] * qm[k+len+1/*2*/][obp-1] * expMLbase[len];
}
}
for (len=1; len<ulength; len++) {
for (obp=k+len+TURN+TURN; obp<=MIN2(n,k+winSize-1); obp++) {
if (ptype[k][obp]) {
temp = exp_E_MLstem(rtype[ptype[k][obp]], S1[obp-1], S1[k+1], pf_params) * scale[2] * expMLbase[len] * expMLclosing; /* k:obp */
QBE[len] += pR[k][obp] * temp * qm2[k+len+1][obp-1]; /* add (___()()) */
}
}
}
/* After computing all these contributions in QBE[len], that k is paired
and the unpaired stretch is AT LEAST len long, we start to add that to
the old unpaired thingies; */
for(len = 1; len < MIN2(MAX2(ulength, MAXLOOP), n - k); len++){
pU[k+len][len] += pU[k+len][len+1] + QBE[len];
}
/*open chain*/
if ((ulength>=winSize)&&(k>=ulength)) {
pU[k][winSize]=scale[winSize]/q[k-winSize+1][k];
}
/* now the not enclosed by any base pair terms for whatever it is we do not need anymore...
... which should be e.g; k, again */
for(startu = MIN2(ulength, k); startu > 0; startu--){
temp=0.;
for(i5 = MAX2(1, k - winSize + 2); i5 <= MIN2(k - startu, n - winSize + 1); i5++){
temp += q[i5][k - startu] * q[k + 1][i5 + winSize - 1] * scale[startu]/q[i5][i5 + winSize - 1];
}
/* the 2 Cases where the borders are on the edge of the interval */
if((k >= winSize) && (startu + 1 <= winSize))
temp += q[k - winSize + 1][k - startu]*scale[startu]/q[k - winSize + 1][k];
if((k <= n - winSize+ startu) && (k - startu >= 0) && (k < n) && (startu + 1 <= winSize))
temp += q[k + 1][k - startu + winSize] * scale[startu] / q[k - startu + 1][k - startu + winSize];
/* Divide by number of possible windows */
pU[k][startu] += temp;
{
int leftmost, rightmost;
leftmost = MAX2(1, k - winSize + 1);
rightmost = MIN2(n - winSize + 1, k - startu + 1);
pU[k][startu] /= (rightmost - leftmost + 1);
}
}
free(QBE);
return;
}
PRIVATE void putoutpU(double **pUx, int k, int ulength, FILE *fp) {
/*put out unpaireds for k, and free pU[k], make sure we don't need pU[k] any more!!*/
/*could use that for hairpins, also!*/
int i;
fprintf(fp,"%d\t",k);
for (i=1; i<=MIN2(ulength,k); i++) {
fprintf(fp,"%.5g\t",pUx[k][i]);
}
fprintf(fp,"\n");
free(pUx[k]);
}
PRIVATE void putoutpU_splitup(double **pUx, int k, int ulength, FILE *fp, char ident) {
/*put out unpaireds for k, and free pU[k], make sure we don't need pU[k] any more!!*/
/*could use that for hairpins, also!*/
int i;
fprintf(fp,"%d\t",k);
for (i=1; i<=MIN2(ulength,k); i++) {
fprintf(fp,"%.5g\t",pUx[k][i]);
}
fprintf(fp,"\t%s\n",ident);
free(pUx[k]);
}
PUBLIC void putoutpU_prob(double **pU,int length, int ulength, FILE *fp, int energies) {
putoutpU_prob_par(pU, length, ulength, fp, energies, pf_params);
}
PUBLIC void putoutpU_prob_par(double **pU,int length, int ulength, FILE *fp, int energies, pf_paramT *parameters){
/*put out unpaireds */
int i,k;
double kT = parameters->kT/1000.0;
double temp;
if (energies) fprintf(fp,"#opening energies\n #i$\tl=");
else fprintf(fp,"#unpaired probabilities\n #i$\tl=");
for (i=1; i<=ulength; i++) {
fprintf(fp,"%d\t", i);
}
fprintf(fp,"\n");
for (k=1; k<=length; k++){
fprintf(fp,"%d\t",k);
for (i=1; i<=ulength; i++) {
if (i>k) {
fprintf(fp,"NA\t");
continue;
}
if (energies) temp=-log(pU[k][i])*kT;
else temp=pU[k][i];
fprintf(fp,"%.7g\t",temp);
}
fprintf(fp,"\n");
free(pU[k]);
}
fflush(fp);
}
PUBLIC void putoutpU_prob_bin(double **pU,int length, int ulength, FILE *fp, int energies) {
putoutpU_prob_bin_par(pU, length, ulength, fp, energies, pf_params);
}
PUBLIC void putoutpU_prob_bin_par(double **pU,int length, int ulength, FILE *fp, int energies, pf_paramT *parameters) {
/*put out unpaireds */
int i,k;
double kT= parameters->kT/1000.0;
double temp;
int *p;
p = (int*) space(sizeof(int)*1);
/* write first line */
p[0]=ulength; /* u length */
fwrite(p,sizeof(int),1,fp);
p[0]=length; /* seq length */
fwrite(p,sizeof(int),1,fp);
for (k=3; k<=(length+20); k++){ /* all the other lines are set to 1000000 because we are at ulength=0 */
p[0]=1000000;
fwrite(p,sizeof(int),1,fp);
}
/* data */
for (i=1; i<=ulength; i++) {
for (k=1; k<=11; k++){/* write first ten entries to 1000000 */
p[0]=1000000;
fwrite(p,sizeof(int),1,fp);
}
for (k=1; k<=length; k++){/* write data now */
if (i>k) {
p[0]=1000000; /* check if u > pos */
fwrite(p,sizeof(int),1,fp);
continue;
}
else{
p[0]= (int) rint(100 *(-log(pU[k][i])*kT));
fwrite(p,sizeof(int),1,fp);
}
}
for (k=1; k<=9; k++){/* finish by writing the last 10 entries */
p[0]=1000000;
fwrite(p,sizeof(int),1,fp);
}
}
/* free pU array; */
for (k=1; k<=length; k++){
free(pU[k]);
}
free(p);
fflush(fp);
}
/*
Here: Space for questions...
*/
PRIVATE void compute_pU_splitup(int k, int ulength, double **pU, double **pUO, double **pUH, double **pUI, double **pUM, int winSize,int n, char *sequence) {
/* here, we try to add a function computing all unpaired probabilities starting at some i,
going down to $unpaired, to be unpaired, i.e. a list with entries from 1 to unpaired for
every i, with the probability of a stretch of length x, starting at i-x+1, to be unpaired
*/
int startu;
int i5;
int j3, len, obp;
double temp;
double *QBE;
double *QBI;
double *QBM;
double *QBH;
FLT_OR_DBL expMLclosing = pf_params->expMLclosing;
QBE=(double *) space((MAX2(ulength,MAXLOOP)+2)*sizeof(double));
QBM=(double *) space((MAX2(ulength,MAXLOOP)+2)*sizeof(double));
QBI=(double *) space((MAX2(ulength,MAXLOOP)+2)*sizeof(double));
QBH=(double *) space((MAX2(ulength,MAXLOOP)+2)*sizeof(double));
/* first, we will */
/* for k<=ulength, pU[k][k]=0, because no bp can enclose it */
if (pUoutput&&k+ulength<=n) pU[k+ulength]=(double *)space((ulength+2)*sizeof(double));
/*compute pu[k+ulength][ulength] */
for (i5=MAX2(k+ulength-winSize+1,1);i5<=k;i5++) {
for (j3=k+ulength+1; j3<=MIN2(n,i5+winSize-1); j3++) {
/* if (k>400) {
printf("i%d j%d ",i5,j3);
fflush(stdout);
} */
if (ptype[i5][j3]!=0) {/**/
/* (.. >-----|..........)
i5 j j+ulength j3 */
/*Multiloops*/
temp = (i5<k) ? qm2[i5+1][k] * expMLbase[j3-k-1] : 0.; /* (..{}{}-----|......) */
if(j3-1>k+ulength)
temp += qm2[k+ulength+1][j3-1] * expMLbase[k+ulength-i5]; /* (..|-----|{}{}) */
if((i5<k)&&(j3-1>k+ulength))
temp += qm[i5+1][k] * qm[k+ulength+1][j3-1] * expMLbase[ulength]; /* ({}|-----|{}) */
/* add dangles, multloopclosing etc. */
temp *= exp_E_MLstem(rtype[ptype[i5][j3]], S1[j3-1], S1[i5+1], pf_params) * scale[2] * expMLclosing;
/*add hairpins*/
temp += exp_E_Hairpin(j3-i5-1, ptype[i5][j3], S1[i5+1], S1[j3-1], sequence+i5-1, pf_params) * scale[j3-i5+1];
/*add outer probability*/
temp *= pR[i5][j3];
pU[k+ulength][ulength] += temp;
}
}
}
/* code doubling to avoid if within loop */
temp=0.;
for (len=winSize; len>=MAX2(ulength,MAXLOOP); len--) temp+=QI5[k][len];
for (;len>0; len--) {
temp += QI5[k][len];
QBI[len] += temp;
QBE[len] += temp; /* replace QBE with QI */
}
/* Add Hairpinenergy to QBE */
temp=0.;
for(obp = MIN2(n, k + winSize - 1); obp > k + ulength; obp--)
if(ptype[k][obp])
temp += pR[k][obp] * exp_E_Hairpin(obp-k-1, ptype[k][obp], S1[k+1], S1[obp-1], sequence+k-1, pf_params) * scale[obp-k+1];
for(obp = MIN2(n, MIN2(k + winSize - 1, k + ulength)); obp > k + 1; obp--){
if (ptype[k][obp])
temp += pR[k][obp] * exp_E_Hairpin(obp-k-1, ptype[k][obp], S1[k+1], S1[obp-1], sequence+k-1, pf_params) * scale[obp-k+1];
QBH[obp-k-1] += temp;
QBE[obp-k-1] += temp; /* add hairpins to QBE (all in one array) */
}
/* doubling the code to get the if out of the loop */
/* Add up Multiloopterms qmb[l][m]+=prml[m]*dang;
q2l[l][m]+=(prml[m]-prm_l[m])*dang; */
temp=0.;
for(len = winSize; len >= ulength; len--)
temp += q2l[k][len] * expMLbase[len];
for( ; len > 0; len--){
temp += q2l[k][len] * expMLbase[len];
QBM[len] += temp;
QBE[len] += temp; /* add (()()____) type cont. to I3 */
}
for(len = 1; len < ulength; len++){
for(obp = k + len + TURN; obp <= MIN2(n, k + winSize - 1); obp++){
/* add (()___()) */
QBM[len] += qmb[k][obp-k-1] * qm[k+len+1/*2*/][obp-1] * expMLbase[len];
QBE[len] += qmb[k][obp-k-1] * qm[k+len+1/*2*/][obp-1] * expMLbase[len];
}
}
for (len=1; len<ulength; len++) {
for (obp=k+len+TURN+TURN; obp<=MIN2(n,k+winSize-1); obp++) {
if (ptype[k][obp]) {
temp = exp_E_MLstem(rtype[ptype[k][obp]], S1[obp-1], S1[k+1], pf_params) * scale[2] * expMLbase[len] * expMLclosing; /* k:obp */
QBE[len] += pR[k][obp] * temp * qm2[k+len+1][obp-1]; /* add (___()()) */
QBM[len] += pR[k][obp] * temp * qm2[k+len+1][obp-1]; /* add (___()()) */
}
}
}
/* After computing all these contributions in QBE[len], that k is paired
and the unpaired stretch is AT LEAST len long, we start to add that to
the old unpaired thingies; */
for(len = 1; len < MIN2(MAX2(ulength, MAXLOOP), n - k); len++){
pU[k+len][len] += pU[k+len][len+1] + QBE[len];
pUH[k+len][len] += pUH[k+len][len+1] + QBH[len];
pUM[k+len][len] += pUM[k+len][len+1] + QBM[len];
pUI[k+len][len] += pUI[k+len][len+1] + QBI[len];
}
/* open chain */
if ((ulength>=winSize)&&(k>=ulength)) {
pUO[k][winSize]=scale[winSize]/q[k-winSize+1][k];
}
/*open chain*/
if ((ulength>=winSize)&&(k>=ulength)) {
pU[k][winSize]=scale[winSize]/q[k-winSize+1][k];
}
/* now the not enclosed by any base pair terms for whatever it is we do not need anymore...
... which should be e.g; k, again */
for(startu = MIN2(ulength, k); startu > 0; startu--){
temp=0.;
for(i5 = MAX2(1, k - winSize + 2); i5 <= MIN2(k - startu, n - winSize + 1); i5++){
temp += q[i5][k - startu] * q[k + 1][i5 + winSize - 1] * scale[startu]/q[i5][i5 + winSize - 1];
}
/* the 2 Cases where the borders are on the edge of the interval */
if((k >= winSize) && (startu + 1 <= winSize))
temp += q[k - winSize + 1][k - startu]*scale[startu]/q[k - winSize + 1][k];
if((k <= n - winSize+ startu) && (k - startu >= 0) && (k < n) && (startu + 1 <= winSize))
temp += q[k + 1][k - startu + winSize] * scale[startu] / q[k - startu + 1][k - startu + winSize];
/* Divide by number of possible windows */
pU[k][startu] += temp;
pUO[k][startu] += temp;
{
int leftmost, rightmost;
leftmost = MAX2(1, k - winSize + 1);
rightmost = MIN2(n - winSize + 1, k - startu + 1);
pU[k][startu] /= (rightmost - leftmost + 1);
/*Do we want to make a distinction between those?*/
pUH[k][startu] /= (rightmost - leftmost + 1);
pUO[k][startu] /= (rightmost - leftmost + 1);
pUI[k][startu] /= (rightmost - leftmost + 1);
pUM[k][startu] /= (rightmost - leftmost + 1);
}
}
free(QBE);
free(QBI);
free(QBH);
free(QBM);
return;
}
PUBLIC void putoutpU_prob_splitup(double **pU, double **pUO, double **pUH, double **pUI, double **pUM, int length, int ulength, FILE *fp, int energies) {
/*put out unpaireds */
int i,k;
double kT= (temperature+K0)*GASCONST/1000.0;
double temp;
if (energies) fprintf(fp,"#opening energies\n #i$\tl=");
else fprintf(fp,"#unpaired probabilities\n #i$\tl=");
fprintf(fp,"Total\n");
for (i=1; i<=ulength; i++) {
fprintf(fp,"%d\t", i);
}
fprintf(fp,"\n");
for (k=1; k<=length; k++){
fprintf(fp,"%d\t",k);
for (i=1; i<=ulength; i++) {
if (i>k) {
fprintf(fp,"NA\t");
continue;
}
if (energies) temp=-log(pU[k][i])*kT;
else temp=pU[k][i];
fprintf(fp,"%.7g\t",temp);
}
fprintf(fp,"\tT\n");
free(pU[k]);
}
fprintf(fp,"\n###################################################################\nHairpin\n");
for (i=1; i<=ulength; i++) {
fprintf(fp,"%d\t", i);
}
fprintf(fp,"\n");
for (k=1; k<=length; k++){
fprintf(fp,"%d\t",k);
for (i=1; i<=ulength; i++) {
if (i>k) {
fprintf(fp,"NA\t");
continue;
}
if (energies) temp=-log(pUH[k][i])*kT;
else temp=pUH[k][i];
fprintf(fp,"%.7g\t",temp);
}
fprintf(fp,"\tH\n");
free(pUH[k]);
}
fprintf(fp,"\n###################################################################\nInterior\n");
for (i=1; i<=ulength; i++) {
fprintf(fp,"%d\t", i);
}
fprintf(fp,"\n");
for (k=1; k<=length; k++){
fprintf(fp,"%d\t",k);
for (i=1; i<=ulength; i++) {
if (i>k) {
fprintf(fp,"NA\t");
continue;
}
if (energies) temp=-log(pUI[k][i])*kT;
else temp=pUI[k][i];
fprintf(fp,"%.7g\t",temp);
}
fprintf(fp,"\tI\n");
free(pUI[k]);
}
fprintf(fp,"\n###################################################################\nMultiloop\n");
for (i=1; i<=ulength; i++) {
fprintf(fp,"%d\t", i);
}
fprintf(fp,"\n");
for (k=1; k<=length; k++){
fprintf(fp,"%d\t",k);
for (i=1; i<=ulength; i++) {
if (i>k) {
fprintf(fp,"NA\t");
continue;
}
if (energies) temp=-log(pUM[k][i])*kT;
else temp=pUM[k][i];
fprintf(fp,"%.7g\t",temp);
}
fprintf(fp,"\tM\n");
free(pUM[k]);
}
fprintf(fp,"\n###################################################################\nExterior\n");
for (i=1; i<=ulength; i++) {
fprintf(fp,"%d\t", i);
}
fprintf(fp,"\t E\n");
for (k=1; k<=length; k++){
fprintf(fp,"%d\t",k);
for (i=1; i<=ulength; i++) {
if (i>k) {
fprintf(fp,"NA\t");
continue;
}
if (energies) temp=-log(pUO[k][i])*kT;
else temp=pUO[k][i];
fprintf(fp,"%.7g\t",temp);
}
fprintf(fp,"\n");
free(pU[k]);
}
fflush(fp);
}
/*###########################################*/
/*# deprecated functions below #*/
/*###########################################*/
PUBLIC void init_pf_foldLP(int length){ /* DO NOTHING */}
|
GB_binop__minus_fc64.c | //------------------------------------------------------------------------------
// GB_binop: hard-coded functions for each built-in binary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_ek_slice.h"
#include "GB_dense.h"
#include "GB_atomics.h"
#include "GB_bitmap_assign_methods.h"
#include "GB_binop__include.h"
// C=binop(A,B) is defined by the following types and operators:
// A+B function (eWiseAdd): GB_AaddB__minus_fc64
// A.*B function (eWiseMult): GB_AemultB__minus_fc64
// A*D function (colscale): GB_AxD__minus_fc64
// D*A function (rowscale): GB_DxB__minus_fc64
// C+=B function (dense accum): GB_Cdense_accumB__minus_fc64
// C+=b function (dense accum): GB_Cdense_accumb__minus_fc64
// C+=A+B function (dense ewise3): GB_Cdense_ewise3_accum__minus_fc64
// C=A+B function (dense ewise3): GB_Cdense_ewise3_noaccum__minus_fc64
// C=scalar+B GB_bind1st__minus_fc64
// C=scalar+B' GB_bind1st_tran__minus_fc64
// C=A+scalar GB_bind2nd__minus_fc64
// C=A'+scalar GB_bind2nd_tran__minus_fc64
// C type: GxB_FC64_t
// A type: GxB_FC64_t
// B,b type: GxB_FC64_t
// BinaryOp: cij = GB_FC64_minus (aij, bij)
#define GB_ATYPE \
GxB_FC64_t
#define GB_BTYPE \
GxB_FC64_t
#define GB_CTYPE \
GxB_FC64_t
// true if the types of A and B are identical
#define GB_ATYPE_IS_BTYPE \
1
// true if the types of C and A are identical
#define GB_CTYPE_IS_ATYPE \
1
// true if the types of C and B are identical
#define GB_CTYPE_IS_BTYPE \
1
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
GxB_FC64_t aij = Ax [pA]
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB) \
GxB_FC64_t bij = Bx [pB]
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
GxB_FC64_t t
// cij = Ax [pA]
#define GB_COPY_A_TO_C(cij,Ax,pA) \
cij = Ax [pA]
// cij = Bx [pB]
#define GB_COPY_B_TO_C(cij,Bx,pB) \
cij = Bx [pB]
#define GB_CX(p) Cx [p]
// binary operator
#define GB_BINOP(z, x, y, i, j) \
z = GB_FC64_minus (x, y) ;
// op is second
#define GB_OP_IS_SECOND \
0
// op is plus_fp32 or plus_fp64
#define GB_OP_IS_PLUS_REAL \
0
// op is minus_fp32 or minus_fp64
#define GB_OP_IS_MINUS_REAL \
0
// GB_cblas_*axpy gateway routine, if it exists for this operator and type:
#define GB_CBLAS_AXPY \
(none)
// do the numerical phases of GB_add and GB_emult
#define GB_PHASE_2_OF_2
// hard-coded loops can be vectorized
#define GB_PRAGMA_SIMD_VECTORIZE GB_PRAGMA_SIMD
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_MINUS || GxB_NO_FC64 || GxB_NO_MINUS_FC64)
//------------------------------------------------------------------------------
// C += A+B, all 3 matrices dense
//------------------------------------------------------------------------------
// The op must be MIN, MAX, PLUS, MINUS, RMINUS, TIMES, DIV, or RDIV.
void GB_Cdense_ewise3_accum__minus_fc64
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_accum_template.c"
}
//------------------------------------------------------------------------------
// C = A+B, all 3 matrices dense
//------------------------------------------------------------------------------
GrB_Info GB_Cdense_ewise3_noaccum__minus_fc64
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_dense_ewise3_noaccum_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += B, accumulate a sparse matrix into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB_Cdense_accumB__minus_fc64
(
GrB_Matrix C,
const GrB_Matrix B,
const int64_t *GB_RESTRICT kfirst_slice,
const int64_t *GB_RESTRICT klast_slice,
const int64_t *GB_RESTRICT pstart_slice,
const int ntasks,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
#include "GB_dense_subassign_23_template.c"
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += b, accumulate a scalar into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB_Cdense_accumb__minus_fc64
(
GrB_Matrix C,
const GB_void *p_bwork,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
// get the scalar b for C += b, of type GxB_FC64_t
GxB_FC64_t bwork = (*((GxB_FC64_t *) p_bwork)) ;
#include "GB_dense_subassign_22_template.c"
return (GrB_SUCCESS) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = A*D, column scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB_AxD__minus_fc64
(
GrB_Matrix C,
const GrB_Matrix A, bool A_is_pattern,
const GrB_Matrix D, bool D_is_pattern,
const int64_t *GB_RESTRICT kfirst_slice,
const int64_t *GB_RESTRICT klast_slice,
const int64_t *GB_RESTRICT pstart_slice,
const int ntasks,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GxB_FC64_t *GB_RESTRICT Cx = (GxB_FC64_t *) C->x ;
#include "GB_AxB_colscale_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = D*B, row scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB_DxB__minus_fc64
(
GrB_Matrix C,
const GrB_Matrix D, bool D_is_pattern,
const GrB_Matrix B, bool B_is_pattern,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GxB_FC64_t *GB_RESTRICT Cx = (GxB_FC64_t *) C->x ;
#include "GB_AxB_rowscale_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseAdd: C = A+B or C<M> = A+B
//------------------------------------------------------------------------------
#undef GB_FREE_ALL
#define GB_FREE_ALL \
{ \
GB_ek_slice_free (&pstart_Mslice, &kfirst_Mslice, &klast_Mslice) ; \
GB_ek_slice_free (&pstart_Aslice, &kfirst_Aslice, &klast_Aslice) ; \
GB_ek_slice_free (&pstart_Bslice, &kfirst_Bslice, &klast_Bslice) ; \
}
GrB_Info GB_AaddB__minus_fc64
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool Ch_is_Mh,
const int64_t *GB_RESTRICT C_to_M,
const int64_t *GB_RESTRICT C_to_A,
const int64_t *GB_RESTRICT C_to_B,
const GB_task_struct *GB_RESTRICT TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t *pstart_Mslice = NULL, *kfirst_Mslice = NULL, *klast_Mslice = NULL ;
int64_t *pstart_Aslice = NULL, *kfirst_Aslice = NULL, *klast_Aslice = NULL ;
int64_t *pstart_Bslice = NULL, *kfirst_Bslice = NULL, *klast_Bslice = NULL ;
#include "GB_add_template.c"
GB_FREE_ALL ;
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C = A.*B or C<M> = A.*B
//------------------------------------------------------------------------------
GrB_Info GB_AemultB__minus_fc64
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *GB_RESTRICT C_to_M,
const int64_t *GB_RESTRICT C_to_A,
const int64_t *GB_RESTRICT C_to_B,
const GB_task_struct *GB_RESTRICT TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t *pstart_Mslice = NULL, *kfirst_Mslice = NULL, *klast_Mslice = NULL ;
int64_t *pstart_Aslice = NULL, *kfirst_Aslice = NULL, *klast_Aslice = NULL ;
int64_t *pstart_Bslice = NULL, *kfirst_Bslice = NULL, *klast_Bslice = NULL ;
#include "GB_emult_template.c"
GB_FREE_ALL ;
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (x,Bx): apply a binary operator to a matrix with scalar bind1st
//------------------------------------------------------------------------------
GrB_Info GB_bind1st__minus_fc64
(
GB_void *Cx_output, // Cx and Bx may be aliased
const GB_void *x_input,
const GB_void *Bx_input,
const int8_t *GB_RESTRICT Bb,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GxB_FC64_t *Cx = (GxB_FC64_t *) Cx_output ;
GxB_FC64_t x = (*((GxB_FC64_t *) x_input)) ;
GxB_FC64_t *Bx = (GxB_FC64_t *) Bx_input ;
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Bb, p)) continue ;
GxB_FC64_t bij = Bx [p] ;
Cx [p] = GB_FC64_minus (x, bij) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB_bind2nd__minus_fc64
(
GB_void *Cx_output, // Cx and Ax may be aliased
const GB_void *Ax_input,
const GB_void *y_input,
const int8_t *GB_RESTRICT Ab,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
GxB_FC64_t *Cx = (GxB_FC64_t *) Cx_output ;
GxB_FC64_t *Ax = (GxB_FC64_t *) Ax_input ;
GxB_FC64_t y = (*((GxB_FC64_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
GxB_FC64_t aij = Ax [p] ;
Cx [p] = GB_FC64_minus (aij, y) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (x, A'): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (x, aij), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
GxB_FC64_t aij = Ax [pA] ; \
Cx [pC] = GB_FC64_minus (x, aij) ; \
}
GrB_Info GB_bind1st_tran__minus_fc64
(
GrB_Matrix C,
const GB_void *x_input,
const GrB_Matrix A,
int64_t *GB_RESTRICT *Workspaces,
const int64_t *GB_RESTRICT A_slice,
int nworkspaces,
int nthreads
)
{
// GB_unop_transpose.c uses GB_ATYPE, but A is
// the 2nd input to binary operator z=f(x,y).
#undef GB_ATYPE
#define GB_ATYPE \
GxB_FC64_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GxB_FC64_t x = (*((const GxB_FC64_t *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
GxB_FC64_t
}
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (aij, y), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
GxB_FC64_t aij = Ax [pA] ; \
Cx [pC] = GB_FC64_minus (aij, y) ; \
}
GrB_Info GB_bind2nd_tran__minus_fc64
(
GrB_Matrix C,
const GrB_Matrix A,
const GB_void *y_input,
int64_t *GB_RESTRICT *Workspaces,
const int64_t *GB_RESTRICT A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GxB_FC64_t y = (*((const GxB_FC64_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
mbir_ct.c |
#include <stdio.h>
#include <stdlib.h>
#include <getopt.h>
#include <string.h>
//#include <time.h>
#include <sys/time.h>
#include "mbir_ct.h"
#include "MBIRModularDefs.h"
#include "MBIRModularUtils.h"
#include "allocate.h"
#include "A_comp.h"
#include "initialize.h"
#include "recon3d.h"
/* Internal Functions */
void readCmdLine(int argc, char *argv[], struct CmdLine *cmdline);
void procCmdLine(int argc, char *argv[], struct CmdLine *cmdline);
void printCmdLineUsage(char *ExecFileName);
int CmdLineHelpOption(char *string);
void setNumSliceDigits(char *basename, char *ext, int slice, struct SinoParams3DParallel *sinoparams, struct ImageParams3D *imgparams);
int main(int argc, char *argv[])
{
struct CmdLine cmdline;
struct Image3D Image;
struct Image3D ProxMap;
struct Sino3DParallel sinogram;
struct ReconParams reconparams;
struct SVParams svpar;
struct AValues_char **A_Padded_Map;
float *Aval_max_ptr;
char *ImageReconMask; /* Image reconstruction mask (determined by ROI) */
char fname[1024];
struct timeval tm1,tm2;
unsigned long long tdiff;
int i,j,jz;
float **e;
readCmdLine(argc, argv, &cmdline);
if(cmdline.verboseLevel)
{
fprintf(stdout,"SUPER-VOXEL MBIR RECONSTRUCTION FOR 3D PARALLEL-BEAM CT\n");
fprintf(stdout,"---- build time: %s, %s ----\n", __DATE__, __TIME__);
}
procCmdLine(argc, argv, &cmdline);
/* Read image/sino parameter files */
ReadSinoParams3DParallel(cmdline.SinoParamsFile,&sinogram.sinoparams);
ReadImageParams3D(cmdline.ImageParamsFile,&Image.imgparams);
if(cmdline.verboseLevel>1)
{
printSinoParams3DParallel(&sinogram.sinoparams);
printImageParams3D(&Image.imgparams);
}
if(cmdline.reconFlag)
{
ReadReconParams(cmdline.ReconParamsFile,&reconparams);
NormalizePriorWeights3D(&reconparams);
if(cmdline.verboseLevel>1)
{
if(cmdline.reconFlag == MBIR_MODULAR_RECONTYPE_QGGMRF_3D)
printReconParamsQGGMRF3D(&reconparams);
if(cmdline.reconFlag == MBIR_MODULAR_RECONTYPE_PandP)
printReconParamsPandP(&reconparams);
}
if(reconparams.ReconType != cmdline.reconFlag)
{
fprintf(stdout,"**\nWarning: \"PriorModel\" field in reconparams file doesn't agree with\n");
fprintf(stdout,"Warning: what the command line is doing. Proceeding anyway.\n**\n");
reconparams.ReconType = cmdline.reconFlag;
}
}
initSVParams(&svpar, Image.imgparams, sinogram.sinoparams); /* Initialize/allocate SV parameters */
if(cmdline.verboseLevel>1)
fprintf(stdout,"\n");
/* The image parameters specify the relevant slice range to reconstruct, so re-set the */
/* relevant sinogram parameters so it pulls the correct slices and indexes them consistently */
sinogram.sinoparams.NSlices = Image.imgparams.Nz;
sinogram.sinoparams.FirstSliceNumber = Image.imgparams.FirstSliceNumber;
int NvNc = sinogram.sinoparams.NViews * sinogram.sinoparams.NChannels;
int Nxy = Image.imgparams.Nx * Image.imgparams.Ny;
int Nz = Image.imgparams.Nz;
int FirstSliceNumber = Image.imgparams.FirstSliceNumber;
int SVLength = svpar.SVLength;
int Nsv = svpar.Nsv;
/* Detect the number of slice number digits in input file names */
if(cmdline.reconFlag)
setNumSliceDigits(cmdline.SinoDataFile,"2Dsinodata",FirstSliceNumber,&sinogram.sinoparams,&Image.imgparams);
else if(cmdline.readInitImageFlag)
setNumSliceDigits(cmdline.InitImageFile,"2Dimgdata",FirstSliceNumber,&sinogram.sinoparams,&Image.imgparams);
int NumSliceDigits = Image.imgparams.NumSliceDigits;
/* Allocate and generate recon mask based on ROIRadius */
ImageReconMask = GenImageReconMask(&Image.imgparams);
/* Read/compute/write System Matrix */
A_Padded_Map = (struct AValues_char **)multialloc(sizeof(struct AValues_char),2,Nsv,(2*SVLength+1)*(2*SVLength+1));
Aval_max_ptr = (float *) get_spc(Nxy,sizeof(float));
if(cmdline.readAmatrixFlag)
{
sprintf(fname,"%s.2Dsvmatrix",cmdline.SysMatrixFile);
if(cmdline.verboseLevel)
fprintf(stdout,"Reading system matrix...\n");
readAmatrix(fname, A_Padded_Map, Aval_max_ptr, &Image.imgparams, &sinogram.sinoparams, svpar);
}
else
{
if(cmdline.verboseLevel) {
fprintf(stdout,"Computing system matrix...\n");
gettimeofday(&tm1,NULL);
}
A_comp(A_Padded_Map,Aval_max_ptr,svpar,&sinogram.sinoparams,ImageReconMask,&Image.imgparams);
if(cmdline.verboseLevel) {
gettimeofday(&tm2,NULL);
tdiff = 1000 * (tm2.tv_sec - tm1.tv_sec) + (tm2.tv_usec - tm1.tv_usec) / 1000;
fprintf(stdout,"\tmatrix time = %llu ms\n",tdiff);
}
}
if(cmdline.writeAmatrixFlag)
{
sprintf(fname,"%s.2Dsvmatrix",cmdline.SysMatrixFile);
if(cmdline.verboseLevel>1)
fprintf(stdout,"Writing system matrix %s\n",fname);
else if(cmdline.verboseLevel)
fprintf(stdout,"Writing system matrix...\n");
writeAmatrix(fname,A_Padded_Map,Aval_max_ptr,&Image.imgparams,&sinogram.sinoparams,svpar);
}
/* Initialize image and forward project, if necessary */
if(cmdline.reconFlag || cmdline.writeProjectionFlag)
{
/* Initialize image */
AllocateImageData3D(&Image);
if(cmdline.readInitImageFlag)
{
if(cmdline.verboseLevel)
fprintf(stdout,"Reading initial image...\n");
ReadImage3D(cmdline.InitImageFile,&Image);
}
else
initConstImage(&Image, ImageReconMask, reconparams.InitImageValue, 0);
/* Initialize Forward Projection of initial image */
e = (float **)multialloc(sizeof(float),2,sinogram.sinoparams.NSlices,NvNc);
if(cmdline.readInitProjectionFlag)
{
for(jz=0;jz<Nz;jz++)
{
sprintf(fname,"%s_slice%.*d.2Dprojection",cmdline.inputProjectionFile,NumSliceDigits,jz+FirstSliceNumber);
if(ReadFloatArray(fname,e[jz],NvNc)) {
fprintf(stderr,"Error: can't read %s\n",fname);
exit(-1);
}
}
}
else /* Compute initial projection */
{
if(cmdline.verboseLevel) {
fprintf(stdout,"Projecting image...\n");
gettimeofday(&tm1,NULL);
}
if(cmdline.readInitImageFlag)
{
/* here we need to project each slice */
#pragma omp parallel for schedule(dynamic)
for(jz=0;jz<Nz;jz++)
forwardProject2D(e[jz],Image.image[jz],A_Padded_Map,Aval_max_ptr,&sinogram.sinoparams,&Image.imgparams,svpar);
}
else /* if IC not provided, only need to project 1st slice and copy */
{
if(reconparams.InitImageValue==0.0f)
{
for(i=0; i<NvNc; i++)
e[0][i] = 0.0f;
}
else
{
forwardProject2D(e[0],Image.image[0],A_Padded_Map,Aval_max_ptr,&sinogram.sinoparams,&Image.imgparams,svpar);
for(jz=1;jz<Nz;jz++)
memcpy(e[jz],e[0],NvNc*sizeof(float));
}
}
if(cmdline.verboseLevel>1) {
gettimeofday(&tm2,NULL);
tdiff = 1000 * (tm2.tv_sec - tm1.tv_sec) + (tm2.tv_usec - tm1.tv_usec) / 1000;
fprintf(stdout,"\tprojection time = %llu ms\n",tdiff);
}
}
}
/***** Reconstruction mode *****/
if(cmdline.reconFlag)
{
/* Allocate and Read sinogram data */
AllocateSinoData3DParallel(&sinogram);
ReadSinoData3DParallel(cmdline.SinoDataFile, &sinogram);
if(cmdline.SinoWeightsFileFlag)
{
ReadWeights3D(cmdline.SinoWeightsFile, &sinogram);
reconparams.weightType = 0;
}
else if(reconparams.weightType < 1) // if weightType is expecting file input, revert to default
reconparams.weightType = 1;
ComputeSinoWeights(sinogram,reconparams); // either compute internally, or scale input by 1/SigmaY^2
/* Read Proximal map if necessary */
if(reconparams.ReconType == MBIR_MODULAR_RECONTYPE_PandP)
{
ProxMap.imgparams.Nx = Image.imgparams.Nx;
ProxMap.imgparams.Ny = Image.imgparams.Ny;
ProxMap.imgparams.Nz = Image.imgparams.Nz;
ProxMap.imgparams.FirstSliceNumber = Image.imgparams.FirstSliceNumber;
ProxMap.imgparams.NumSliceDigits = Image.imgparams.NumSliceDigits;
AllocateImageData3D(&ProxMap);
ReadImage3D(cmdline.ProxMapImageFile,&ProxMap);
reconparams.proximalmap = ProxMap.image; // **ptr to proximal map image
}
/* Start Reconstruction */
if(cmdline.verboseLevel)
{
fprintf(stdout,"Reconstructing...\n");
gettimeofday(&tm1,NULL);
}
/* "e" will hold the sinogram error (y-Ax) during reconstruction */
for(jz=0; jz<Nz; jz++)
for(i=0; i<NvNc; i++)
e[jz][i] = sinogram.sino[jz][i]-e[jz][i];
MBIRReconstruct3D(&Image,&sinogram,e,reconparams,svpar,A_Padded_Map,Aval_max_ptr,ImageReconMask,cmdline.verboseLevel);
if(cmdline.verboseLevel)
{
gettimeofday(&tm2,NULL);
tdiff = 1000 * (tm2.tv_sec - tm1.tv_sec) + (tm2.tv_usec - tm1.tv_usec) / 1000;
fprintf(stdout,"\tReconstruction time = %llu ms\n",tdiff);
}
/* Write out reconstructed image(s) */
if(cmdline.verboseLevel)
fprintf(stdout,"Writing image files...\n");
WriteImage3D(cmdline.ReconImageFile, &Image);
if(cmdline.writeProjectionFlag) /* flip it back to get projection Ax */
{
for(jz=0; jz<Nz; jz++)
for(i=0; i<NvNc; i++)
e[jz][i] = sinogram.sino[jz][i]-e[jz][i];
}
FreeSinoData3DParallel(&sinogram);
if(reconparams.ReconType == MBIR_MODULAR_RECONTYPE_PandP)
FreeImageData3D(&ProxMap);
}
/* Write Projection of image state if requested */
if(cmdline.writeProjectionFlag)
{
if(cmdline.verboseLevel)
fprintf(stdout,"Writing projection to file...\n");
for(jz=0; jz<Nz; jz++)
{
sprintf(fname,"%s_slice%.*d.2Dprojection",cmdline.outputProjectionFile,NumSliceDigits,jz+FirstSliceNumber);
if( WriteFloatArray(fname,e[jz],NvNc) ) {
fprintf(stderr,"Error: can't open file %s for writing\n",fname);
exit(-1);
}
}
}
if(cmdline.reconFlag || cmdline.writeProjectionFlag)
{
multifree(e,2);
FreeImageData3D(&Image);
}
/* Free SV memory */
for(j=0;j<Nsv;j++) free((void *)svpar.bandMinMap[j].bandMin);
for(j=0;j<Nsv;j++) free((void *)svpar.bandMaxMap[j].bandMax);
free((void *)svpar.bandMinMap);
free((void *)svpar.bandMaxMap);
/* Free system matrix */
for(i=0;i<Nsv;i++)
for(j=0;j<(2*SVLength+1)*(2*SVLength+1);j++)
if(A_Padded_Map[i][j].length>0)
{
free((void *)A_Padded_Map[i][j].val);
free((void *)A_Padded_Map[i][j].pieceWiseMin);
free((void *)A_Padded_Map[i][j].pieceWiseWidth);
}
multifree(A_Padded_Map,2);
free((void *)Aval_max_ptr);
free((void *)ImageReconMask);
if(cmdline.verboseLevel)
fprintf(stdout,"Done.\n");
return(0);
}
/* Read Command-line */
void readCmdLine(int argc, char *argv[], struct CmdLine *cmdline)
{
char ch;
/* set defaults */
cmdline->SinoParamsFileFlag=0;
cmdline->ImageParamsFileFlag=0;
cmdline->ReconParamsFileFlag=0;
cmdline->SinoDataFileFlag=0;
cmdline->SinoWeightsFileFlag=0;
cmdline->ReconImageFileFlag=0;
cmdline->SysMatrixFileFlag=0;
cmdline->reconFlag = MBIR_MODULAR_RECONTYPE_QGGMRF_3D;
cmdline->readInitImageFlag=0;
cmdline->readInitProjectionFlag=0;
cmdline->writeProjectionFlag=0;
cmdline->verboseLevel=1;
/* Print usage statement if no arguments, or help argument given */
if(argc==1 || CmdLineHelpOption(argv[1]))
{
//fprintf(stdout,"Printing usage statement for %s\n",argv[0]);
printCmdLineUsage(argv[0]);
exit(0);
}
/* get options */
while ((ch = getopt(argc, argv, "i:j:k:s:w:r:m:t:e:f:p:v:")) != EOF)
{
switch (ch)
{
case 'i':
{
cmdline->ImageParamsFileFlag=1;
sprintf(cmdline->ImageParamsFile, "%s", optarg);
break;
}
case 'j':
{
cmdline->SinoParamsFileFlag=1;
sprintf(cmdline->SinoParamsFile, "%s", optarg);
break;
}
case 'k':
{
cmdline->ReconParamsFileFlag=1;
sprintf(cmdline->ReconParamsFile, "%s", optarg);
break;
}
case 's':
{
cmdline->SinoDataFileFlag=1;
sprintf(cmdline->SinoDataFile, "%s", optarg);
break;
}
case 'w':
{
cmdline->SinoWeightsFileFlag=1;
sprintf(cmdline->SinoWeightsFile, "%s", optarg);
break;
}
case 'r':
{
cmdline->ReconImageFileFlag=1;
sprintf(cmdline->ReconImageFile, "%s", optarg);
break;
}
case 'm':
{
cmdline->SysMatrixFileFlag=1;
sprintf(cmdline->SysMatrixFile, "%s", optarg);
break;
}
case 't':
{
cmdline->readInitImageFlag=1;
sprintf(cmdline->InitImageFile, "%s", optarg);
break;
}
case 'e':
{
cmdline->readInitProjectionFlag=1;
sprintf(cmdline->inputProjectionFile, "%s", optarg);
break;
}
case 'f':
{
cmdline->writeProjectionFlag=1;
sprintf(cmdline->outputProjectionFile, "%s", optarg);
break;
}
case 'p':
{
cmdline->reconFlag = MBIR_MODULAR_RECONTYPE_PandP;
sprintf(cmdline->ProxMapImageFile, "%s", optarg);
break;
}
case 'v':
{
sscanf(optarg,"%hhi",&cmdline->verboseLevel);
break;
}
default:
{
//fprintf(stderr,"%s: invalid option '%c'\n",argv[0],ch); //getopt does this already
fprintf(stderr,"Try '%s -help' for more information.\n",argv[0]);
exit(-1);
break;
}
}
}
}
/* Process Command-line */
void procCmdLine(int argc, char *argv[], struct CmdLine *cmdline)
{
if(cmdline->verboseLevel>1)
fprintf(stdout,"Parsing command line...\n");
/* Check for mandatory arguments */
if(!cmdline->SinoParamsFileFlag || !cmdline->ImageParamsFileFlag){
fprintf(stderr,"Error: Either sinoparams or imgparams (-i,-j) file wasn't specified\n");
fprintf(stderr,"Try '%s -help' for more information.\n",argv[0]);
exit(-1);
}
/* Determine what to do based on supplied options
* cmdline->reconFlag
* cmdline->readInitImageFlag
* cmdline->readInitProjectionFlag
* cmdline->writeProjectionFlag
*/
cmdline->readAmatrixFlag=0;
cmdline->writeAmatrixFlag=0;
if(cmdline->ReconImageFileFlag) /* reconstruction mode */
{
if(cmdline->SysMatrixFileFlag)
cmdline->readAmatrixFlag=1;
if(cmdline->readInitProjectionFlag && !cmdline->readInitImageFlag)
cmdline->readInitProjectionFlag = 0;
if(!cmdline->ReconParamsFileFlag || !cmdline->SinoDataFileFlag)
{
fprintf(stderr,"Error: Either input data or reconstruction parameters weren't specified\n");
fprintf(stderr,"Try '%s -help' for more information.\n",argv[0]);
exit(-1);
}
}
else /* precompute matrix or project input image */
{
cmdline->reconFlag=0;
cmdline->readInitProjectionFlag=0;
if(cmdline->writeProjectionFlag && !cmdline->readInitImageFlag)
cmdline->writeProjectionFlag = 0;
if(cmdline->writeProjectionFlag && cmdline->readInitImageFlag) /* projection mode */
{
if(cmdline->SysMatrixFileFlag)
cmdline->readAmatrixFlag=1;
}
else /* pre-compute matrix */
{
if(cmdline->SysMatrixFileFlag)
cmdline->writeAmatrixFlag=1;
else
{
fprintf(stderr,"Error: From the given command options, not sure what you want to do.\n");
fprintf(stderr,"Try '%s -help' for more information.\n",argv[0]);
exit(-1);
}
}
}
/* Print output and check errors of above parsing sequence */
if(cmdline->verboseLevel>1)
{
if(cmdline->reconFlag)
{
fprintf(stdout,"-> will perform reconstruction ");
if(cmdline->reconFlag == MBIR_MODULAR_RECONTYPE_QGGMRF_3D)
fprintf(stdout,"(QGGMRF)\n");
if(cmdline->reconFlag == MBIR_MODULAR_RECONTYPE_PandP)
fprintf(stdout,"(Plug & Play)\n");
if(cmdline->readAmatrixFlag)
fprintf(stdout,"-> will read system matrix from file\n");
else
{
fprintf(stdout,"-> will compute system matrix\n");
fprintf(stdout," *** NOTE if you precompute/store the system matrix, any further reconstruction\n");
fprintf(stdout," *** with the same image/sinogram in-slice dimensions will execute MUCH faster.\n");
fprintf(stdout," *** See help (-m option)\n");
// fprintf(stdout,"***80 columns*******************************************************************\n\n");
}
if(!cmdline->SinoWeightsFileFlag)
fprintf(stdout,"-> will compute sinogram weights internally (no file provided)\n");
if(cmdline->readInitImageFlag)
fprintf(stdout,"-> will read initial condition from file(s)\n");
if(cmdline->readInitProjectionFlag)
fprintf(stdout,"-> will read projection of initial condition\n");
else
fprintf(stdout,"-> will compute forward projection of initial condition\n");
if(cmdline->writeProjectionFlag)
fprintf(stdout,"-> will save projection of output image state to file(s)\n");
}
else if(cmdline->writeAmatrixFlag || cmdline->writeProjectionFlag)
{
fprintf(stdout,"-> no reconstruction\n");
if(cmdline->writeAmatrixFlag)
fprintf(stdout,"-> will compute system matrix and write to file\n");
if(cmdline->writeProjectionFlag)
fprintf(stdout,"-> will compute projection and write to file(s)\n");
if(cmdline->ReconParamsFileFlag || cmdline->SinoDataFileFlag || cmdline->SinoWeightsFileFlag || cmdline->readInitProjectionFlag)
fprintf(stdout,"Note some command line options are being ignored.\n");
}
fprintf(stdout,"\n");
fprintf(stdout,"Filenames provided:\n");
if(cmdline->SinoParamsFileFlag)
fprintf(stdout," Sino params = %s.sinoparams\n",cmdline->SinoParamsFile);
if(cmdline->ImageParamsFileFlag)
fprintf(stdout," Image params = %s.imgparams\n",cmdline->ImageParamsFile);
if(cmdline->ReconParamsFileFlag)
fprintf(stdout," Recon params = %s.reconparams\n",cmdline->ReconParamsFile);
if(cmdline->SinoDataFileFlag)
fprintf(stdout," Sinogram data = %s_sliceNNN.2Dsinodata\n",cmdline->SinoDataFile);
if(cmdline->SinoWeightsFileFlag)
fprintf(stdout," Weight data = %s_sliceNNN.2Dweightdata\n",cmdline->SinoWeightsFile);
if(cmdline->ReconImageFileFlag)
fprintf(stdout," Output images = %s_sliceNNN.2Dimgdata\n",cmdline->ReconImageFile);
if(cmdline->readInitImageFlag)
fprintf(stdout," Initial image = %s_sliceNNN.2Dimgdata\n",cmdline->InitImageFile);
if(cmdline->SysMatrixFileFlag)
fprintf(stdout," System matrix = %s.2Dsvmatrix\n",cmdline->SysMatrixFile);
if(cmdline->readInitProjectionFlag)
fprintf(stdout," Initial projection = %s.2Dprojection\n",cmdline->inputProjectionFile);
if(cmdline->writeProjectionFlag)
fprintf(stdout," Output projection = %s_sliceNNN.2Dprojection\n",cmdline->outputProjectionFile);
}
}
int NumSliceDigits(char *basename, char *ext, int slice)
{
FILE *fp;
char fname[1024];
int Ndigits = MBIR_MODULAR_MAX_NUMBER_OF_SLICE_DIGITS;
while(Ndigits > 0)
{
sprintf(fname,"%s_slice%.*d.%s",basename, Ndigits, slice, ext);
//printf("%s\n",fname);
if( (fp=fopen(fname,"r")) ) {
fclose(fp);
break;
}
else
Ndigits--;
}
return(Ndigits);
}
void setNumSliceDigits(
char *basename,
char *ext,
int slice,
struct SinoParams3DParallel *sinoparams,
struct ImageParams3D *imgparams)
{
int Ndigits;
if( (Ndigits = NumSliceDigits(basename,ext,slice)) > 0 )
{
sinoparams->NumSliceDigits = Ndigits;
imgparams->NumSliceDigits = Ndigits;
}
else
{
fprintf(stderr,"Error: Can't determine number of slice digits from given input file.\n");
fprintf(stderr,"* Looking for file with this format: %s_slice%d.%s\n",basename,slice,ext);
fprintf(stderr,"* where the slice number can contain leading zeros but no spaces.\n");
exit(-1);
}
}
void printBanner(void)
{
fprintf(stdout,"MBIR RECONSTRUCTION FOR 3D PARALLEL-BEAM CT\n");
fprintf(stdout,"build time: %s, %s\n\n", __DATE__, __TIME__);
}
void printCmdLineUsage(char *ExecFileName)
{
// fprintf(stdout,"***80 columns*******************************************************************\n\n");
fprintf(stdout,"Command Line Help\n\n");
fprintf(stdout,"There are three forms for the command line. One pre-computes and stores the\n");
fprintf(stdout,"system matrix (saves time for other reconstructions w/ same geometry).\n");
fprintf(stdout,"The second reconstructs the input sinogram, and the third computes the\n");
fprintf(stdout,"projection of an input image set.\n");
fprintf(stdout,"\n");
fprintf(stdout,"Pre-compute system matrix: (printed on multiple lines for clarity)\n");
fprintf(stdout,"\n");
fprintf(stdout," %s\n",ExecFileName);
fprintf(stdout,"\t-i <filename>[.imgparams] : Input image parameters\n");
fprintf(stdout,"\t-j <filename>[.sinoparams] : Input sinogram parameters\n");
fprintf(stdout,"\t-m <filename>[.2Dsvmatrix] : Output matrix file\n");
fprintf(stdout,"\n");
// fprintf(stdout,"***80 columns*******************************************************************\n\n");
fprintf(stdout,"Perform reconstruction:\n");
fprintf(stdout,"\n");
fprintf(stdout," %s\n",ExecFileName);
fprintf(stdout,"\t-i <filename>[.imgparams] : Input image parameters\n");
fprintf(stdout,"\t-j <filename>[.sinoparams] : Input sinogram parameters\n");
fprintf(stdout,"\t-k <filename>[.reconparams] : Reconstruction parameters\n");
fprintf(stdout,"\t-s <baseFilename> : Input sinogram projection file(s)\n");
fprintf(stdout,"\t-r <baseFilename> : Output reconstruced image file(s)\n");
fprintf(stdout," (following are optional)\n");
fprintf(stdout,"\t-m <filename>[.2Dsvmatrix] : INPUT matrix file (params must correspond!)\n");
fprintf(stdout,"\t-w <baseFilename> : Input sinogram weight file(s)\n");
fprintf(stdout,"\t-t <baseFilename> : Input initial condition image(s)\n");
fprintf(stdout,"\t-e <baseFilename> : Input projection of initial condition\n");
fprintf(stdout,"\t-f <baseFilename> : Output projection of final image state\n");
fprintf(stdout,"\t-p <baseFilename> : Proximal map image(s) for Plug & Play\n");
fprintf(stdout,"\t : ** -p specifies to use proximal prior\n");
fprintf(stdout,"\t : ** generally use with -t -e -f\n");
// fprintf(stdout,"***80 columns*******************************************************************\n\n");
fprintf(stdout,"\t-v <verbose level> : 0:quiet, 1:status info (default), 2:more info\n");
fprintf(stdout,"\n");
fprintf(stdout,"Compute projection of input only:\n");
fprintf(stdout,"\n");
fprintf(stdout," %s\n",ExecFileName);
fprintf(stdout,"\t-i <filename>[.imgparams] : Input image parameters\n");
fprintf(stdout,"\t-j <filename>[.sinoparams] : Input sinogram parameters\n");
fprintf(stdout,"\t-t <baseFilename> : Input image set\n");
fprintf(stdout,"\t-f <baseFilename> : Output projection\n");
fprintf(stdout," (following are optional)\n");
fprintf(stdout,"\t-m <filename>[.2Dsvmatrix] : INPUT matrix file (params must correspond!)\n");
fprintf(stdout,"\n");
fprintf(stdout,"In the above arguments, the exensions given in the '[]' symbols must be part of\n");
fprintf(stdout,"the file names but should be omitted from the command line.\n");
fprintf(stdout,"For all the arguments specifying <baseFilename>, the relevant 3D data is split\n");
fprintf(stdout,"across files, one file per slice. The file naming convention is as follows,\n");
fprintf(stdout,"depending on the data contents:\n");
fprintf(stdout,"\n");
fprintf(stdout,"\t<baseFilename>_slice<sliceIndex>.2Dimgdata\n");
fprintf(stdout,"\t<baseFilename>_slice<sliceIndex>.2Dsinodata\n");
fprintf(stdout,"\t<baseFilename>_slice<sliceIndex>.2Dweightdata\n");
fprintf(stdout,"\t<baseFilename>_slice<sliceIndex>.2Dprojection\n");
fprintf(stdout,"\n");
fprintf(stdout,"where <sliceIndex> (skip '<>' symbols) is a non-negative integer including\n");
fprintf(stdout,"leading zeros and no spaces (e.g. 0000 to 1023). The number of digits\n");
fprintf(stdout,"is flexible (up to %d) but must be consistent.\n",MBIR_MODULAR_MAX_NUMBER_OF_SLICE_DIGITS);
fprintf(stdout,"\n");
}
int CmdLineHelpOption(char *string)
{
if( (strcmp(string,"-h")==0) || (strcmp(string,"-help")==0) || (strcmp(string,"--help")==0) || (strcmp(string,"help")==0) )
return 1;
else
return 0;
}
|
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