source stringlengths 3 92 | c stringlengths 26 2.25M |
|---|---|
DECADES.h | #pragma once
#include "omp.h"
#include "stdatomic.h"
#define DECADES_TILE_ID 0
#define DECADES_NUM_TILES 1
__attribute__((noinline))
extern "C"
void DECADES_BARRIER() {
#pragma omp barrier
}
__attribute__((noinline))
extern "C"
int DECADES_COMPARE_EXCHANGE_STRONG(atomic_int* addr, int *expected, int desired) {
return atomic_compare_exchange_strong_explicit(addr, expected, desired, memory_order_relaxed, memory_order_relaxed);
}
__attribute__((noinline))
extern "C"
int DECADES_COMPARE_EXCHANGE_WEAK(atomic_int* addr, int *expected, int desired) {
return atomic_compare_exchange_weak_explicit(addr, expected, desired, memory_order_relaxed, memory_order_relaxed);
}
__attribute__((noinline))
extern "C"
int DECADES_COMPARE_AND_SWAP(volatile int* addr, int to_compare, int new_val) {
DECADES_COMPARE_EXCHANGE_STRONG((atomic_int *) addr, &to_compare, new_val);
return to_compare;
}
__attribute__((noinline))
extern "C"
int DECADES_FETCH_ADD(volatile int* addr, int to_add) {
int ret;
#pragma omp atomic capture
{
ret = addr[0];
addr[0] += to_add;
}
return ret;
}
__attribute__((noinline))
extern "C"
int DECADES_FETCH_ADD_BOUNDED(volatile unsigned char * addr, int bound, int to_add) {
unsigned char ret;
#pragma omp critical
{
ret = addr[0];
if (ret < bound)
addr[0] += to_add;
}
return ret;
}
__attribute__((noinline))
extern "C"
int DECADES_FETCH_MIN(volatile int* addr, int to_min) {
int ret;
int value = *addr;
while (to_min < value) {
if (DECADES_COMPARE_EXCHANGE_WEAK((atomic_int *) addr, &value, to_min)) {
return 1;
}
}
return 0;
}
extern "C"
int wrapper_FETCH_ADD_MAX(volatile int* addr, int bound) {
int ret;
int value = *addr;
int desired = value + 1;
int new_value;
while (value < bound) {
int new_value = DECADES_COMPARE_AND_SWAP(addr, value, desired);
if (value == new_value)
return 1;
else value = new_value;
desired = value + 1;
}
return 0;
}
__attribute__((noinline))
extern "C"
float DECADES_FETCH_ADD_FLOAT(volatile float* addr, float to_add) {
union {
int int_val;
float float_val;
} value, ret;
do {
value.float_val = *addr;
ret.float_val = value.float_val + to_add;
} while (!DECADES_COMPARE_EXCHANGE_WEAK((atomic_int *) addr, &value.int_val, ret.int_val));
return value.float_val;
}
|
GB_binop__pair_uint8.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_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__pair_uint8)
// A.*B function (eWiseMult): GB (_AemultB)
// A.*B function (eWiseMult): GB (_AemultB_02__pair_uint8)
// A.*B function (eWiseMult): GB (_AemultB_03__pair_uint8)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__pair_uint8)
// A*D function (colscale): GB (_AxD__pair_uint8)
// D*A function (rowscale): GB (_DxB__pair_uint8)
// C+=B function (dense accum): GB (_Cdense_accumB__pair_uint8)
// C+=b function (dense accum): GB (_Cdense_accumb__pair_uint8)
// C+=A+B function (dense ewise3): GB ((none))
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__pair_uint8)
// C=scalar+B GB ((none))
// C=scalar+B' GB ((none))
// C=A+scalar GB ((none))
// C=A'+scalar GB ((none))
// C type: uint8_t
// A type: uint8_t
// B,b type: uint8_t
// BinaryOp: cij = 1
#define GB_ATYPE \
uint8_t
#define GB_BTYPE \
uint8_t
#define GB_CTYPE \
uint8_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) \
;
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB) \
;
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
uint8_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 = 1 ;
// 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_PAIR || GxB_NO_UINT8 || GxB_NO_PAIR_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
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_ewise3_noaccum__pair_uint8)
(
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__pair_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
{
#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__pair_uint8)
(
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 uint8_t
uint8_t bwork = (*((uint8_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__pair_uint8)
(
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
uint8_t *restrict Cx = (uint8_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__pair_uint8)
(
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
uint8_t *restrict Cx = (uint8_t *) C->x ;
#include "GB_AxB_rowscale_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseAdd: C = A+B or C<M> = A+B
//------------------------------------------------------------------------------
GrB_Info GB (_AaddB__pair_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 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__pair_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_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__pair_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_03__pair_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_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__pair_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
//------------------------------------------------------------------------------
#if 0
GrB_Info GB ((none))
(
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 anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint8_t *Cx = (uint8_t *) 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 < anz ; p++)
{
if (!GBB (Bb, p)) continue ;
; ;
Cx [p] = 1 ;
}
return (GrB_SUCCESS) ;
#endif
}
#endif
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
#if 0
GrB_Info GB ((none))
(
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 ;
uint8_t *Cx = (uint8_t *) 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 ;
; ;
Cx [p] = 1 ;
}
return (GrB_SUCCESS) ;
#endif
}
#endif
//------------------------------------------------------------------------------
// C = op (x, A'): transpose and apply a binary operator
//------------------------------------------------------------------------------
#if 0
// cij = op (x, aij), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
; ; \
Cx [pC] = 1 ; \
}
GrB_Info GB ((none))
(
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
}
#endif
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
#if 0
// cij = op (aij, y), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
; ; \
Cx [pC] = 1 ; \
}
GrB_Info GB ((none))
(
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
#endif
|
LG_check_ktruss.c | //------------------------------------------------------------------------------
// LG_check_ktruss: construct the ktruss of a graph (simple method)
//------------------------------------------------------------------------------
// LAGraph, (c) 2021 by The LAGraph Contributors, All Rights Reserved.
// SPDX-License-Identifier: BSD-2-Clause
// See additional acknowledgments in the LICENSE file,
// or contact permission@sei.cmu.edu for the full terms.
// Contributed by Timothy A. Davis, Texas A&M University
//------------------------------------------------------------------------------
// A very slow, bare-bones ktruss method. This method is for testing only, to
// check the result of other, faster methods. Do not benchmark this method; it
// is slow and simple by design. G->A must be symmetric, with no entries on
// its diagonal.
#define LG_FREE_WORK \
{ \
LAGraph_Free ((void **) &Cp, NULL) ; \
LAGraph_Free ((void **) &Cj, NULL) ; \
LAGraph_Free ((void **) &Cx, NULL) ; \
LAGraph_Free ((void **) &Ax, NULL) ; \
}
#define LG_FREE_ALL \
{ \
LG_FREE_WORK ; \
GrB_free (&C) ; \
}
#include "LG_internal.h"
#include "LG_test.h"
int LG_check_ktruss
(
// output
GrB_Matrix *C_handle, // the ktruss of G->A, of type GrB_UINT32
// input
LAGraph_Graph G, // the structure of G->A must be symmetric
uint32_t k,
char *msg
)
{
//--------------------------------------------------------------------------
// check inputs
//--------------------------------------------------------------------------
LG_CLEAR_MSG ;
GrB_Matrix C = NULL ;
GrB_Index *Cp = NULL, *Cj = NULL ;
uint32_t *Cx = NULL ;
void *Ax = NULL ;
GrB_Index n, ncols, Cp_len, Cj_len, Cx_len, nvals1, nvals2 ;
LG_ASSERT (C_handle != NULL, GrB_NULL_POINTER) ;
LG_TRY (LAGraph_CheckGraph (G, msg)) ;
LG_ASSERT_MSG (G->nself_edges == 0, -104, "G->nself_edges must be zero") ;
if (G->kind == LAGraph_ADJACENCY_UNDIRECTED ||
(G->kind == LAGraph_ADJACENCY_DIRECTED &&
G->is_symmetric_structure == LAGraph_TRUE))
{
// the structure of A is known to be symmetric
;
}
else
{
// A is not known to be symmetric
LG_ASSERT_MSG (false, -1005, "G->A must be symmetric") ;
}
GRB_TRY (GrB_Matrix_nrows (&n, G->A)) ;
GRB_TRY (GrB_Matrix_ncols (&ncols, G->A)) ;
LG_ASSERT_MSG (n == ncols, -1001, "A must be square") ;
//--------------------------------------------------------------------------
// export G->A in CSR form and discard its values
//--------------------------------------------------------------------------
size_t typesize ;
LG_TRY (LG_check_export (G, &Cp, &Cj, &Ax, &Cp_len, &Cj_len, &Cx_len,
&typesize, msg)) ;
LAGraph_Free ((void **) &Ax, NULL) ;
//--------------------------------------------------------------------------
// allocate Cx
//--------------------------------------------------------------------------
LG_TRY (LAGraph_Malloc ((void **) &Cx, Cx_len, sizeof (uint32_t), msg)) ;
//--------------------------------------------------------------------------
// construct the k-truss of G->A
//--------------------------------------------------------------------------
while (true)
{
//----------------------------------------------------------------------
// compute the # of triangles incident on each edge of C
//----------------------------------------------------------------------
// masked dot-product method: C{C}=C*C' using the PLUS_ONE semiring
#if !defined ( COVERAGE )
#pragma omp parallel for schedule(dynamic,1024)
#endif
for (int64_t i = 0 ; i < n ; i++)
{
// for each entry in C(i,:)
for (int64_t p = Cp [i] ; p < Cp [i+1] ; p++)
{
const int64_t j = Cj [p] ;
uint32_t cij = 0 ;
// cij += C(i,:) * C(j,:)'
int64_t p1 = Cp [i] ;
int64_t p1_end = Cp [i+1] ;
int64_t p2 = Cp [j] ;
int64_t p2_end = Cp [j+1] ;
while (p1 < p1_end && p2 < p2_end)
{
int64_t j1 = Cj [p1] ;
int64_t j2 = Cj [p2] ;
if (j1 < j2)
{
// C(i,j1) appears before C(j,j2)
p1++ ;
}
else if (j2 < j1)
{
// C(j,j2) appears before C(i,j1)
p2++ ;
}
else // j1 == j2
{
// C(i,j1) and C(j,j1) are the next entries to merge
cij++ ;
p1++ ;
p2++ ;
}
}
Cx [p] = cij ;
}
}
//----------------------------------------------------------------------
// import C in CSR form
//----------------------------------------------------------------------
GRB_TRY (GrB_Matrix_import_UINT32 (&C, GrB_UINT32, n, n,
Cp, Cj, Cx, Cp_len, Cj_len, Cx_len, GrB_CSR_FORMAT)) ;
GRB_TRY (GrB_Matrix_nvals (&nvals1, C)) ;
//----------------------------------------------------------------------
// keep entries >= k-2 and check for convergence
//----------------------------------------------------------------------
GRB_TRY (GrB_select (C, NULL, NULL, GrB_VALUEGE_UINT32, C, k-2, NULL)) ;
GRB_TRY (GrB_Matrix_nvals (&nvals2, C)) ;
if (nvals1 == nvals2)
{
// C is now the k-truss of G->A
LG_FREE_WORK ;
(*C_handle) = C ;
return (GrB_SUCCESS) ;
}
//----------------------------------------------------------------------
// export C in CSR form for the next iteration and free it
//----------------------------------------------------------------------
GRB_TRY (GrB_Matrix_export_UINT32 (Cp, Cj, Cx,
&Cp_len, &Cj_len, &Cx_len, GrB_CSR_FORMAT, C)) ;
GRB_TRY (GrB_free (&C)) ;
}
}
|
GB_binop__band_uint8.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__band_uint8)
// A.*B function (eWiseMult): GB (_AemultB_08__band_uint8)
// A.*B function (eWiseMult): GB (_AemultB_02__band_uint8)
// A.*B function (eWiseMult): GB (_AemultB_04__band_uint8)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__band_uint8)
// A*D function (colscale): GB (_AxD__band_uint8)
// D*A function (rowscale): GB (_DxB__band_uint8)
// C+=B function (dense accum): GB (_Cdense_accumB__band_uint8)
// C+=b function (dense accum): GB (_Cdense_accumb__band_uint8)
// C+=A+B function (dense ewise3): GB ((none))
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__band_uint8)
// C=scalar+B GB (_bind1st__band_uint8)
// C=scalar+B' GB (_bind1st_tran__band_uint8)
// C=A+scalar GB (_bind2nd__band_uint8)
// C=A'+scalar GB (_bind2nd_tran__band_uint8)
// C type: uint8_t
// 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 \
uint8_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) \
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) \
uint8_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_BAND || GxB_NO_UINT8 || GxB_NO_BAND_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__band_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__band_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
{
#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__band_uint8)
(
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 uint8_t
uint8_t bwork = (*((uint8_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__band_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
uint8_t *restrict Cx = (uint8_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__band_uint8)
(
GrB_Matrix C,
const GrB_Matrix D,
const GrB_Matrix B,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint8_t *restrict Cx = (uint8_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__band_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__band_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__band_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__band_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__band_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__band_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
uint8_t *Cx = (uint8_t *) 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__band_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 ;
uint8_t *Cx = (uint8_t *) 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__band_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__band_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
|
test.c | #include <stdio.h>
#include "../utilities/check.h"
#define N 100
int main()
{
check_offloading();
int a[N], aa[N];
int i, error = 0;
// initialize
for(i=0; i<N; i++)
aa[i] = a[i] = -1;
// offload
#pragma omp target map(tofrom: a[0:100])
{
int k;
#pragma omp simd safelen(2)
for(k=0; k<100; k++) {
if (k > 1)
a[k] = a[k-2] + 2;
else
a[k] = k;
}
}
// host
for(i=0; i<N; i++)
aa[i] = i;
// check
for(i=0; i<N; i++) {
if (a[i] != aa[i])
printf("%d: a %d != %d (error %d)\n", i, a[i], aa[i], ++error);
if (error > 10) {
printf("abort\n");
return 0;
}
}
// report
printf("done with %d errors\n", error);
return error;
}
|
odf_fmt_plug.c | /* ODF cracker patch for JtR. Hacked together during Summer of 2012 by
* Dhiru Kholia <dhiru.kholia at gmail.com>.
*
* This software is Copyright (c) 2012, Dhiru Kholia <dhiru.kholia at gmail.com>,
* 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_odf;
#elif FMT_REGISTERS_H
john_register_one(&fmt_odf);
#else
#include <string.h>
#include <assert.h>
#include <errno.h>
#ifdef _OPENMP
#include <omp.h>
#ifndef OMP_SCALE
#define OMP_SCALE 64
#endif
#endif
#include "arch.h"
#include "johnswap.h"
#include "misc.h"
#include "common.h"
#include "formats.h"
#include "params.h"
#include "options.h"
#include "sha.h"
#include "sha2.h"
#include <openssl/blowfish.h>
#include "aes.h"
#include "pbkdf2_hmac_sha1.h"
#include "memdbg.h"
#define FORMAT_LABEL "ODF"
#define FORMAT_NAME ""
#ifdef SIMD_COEF_32
#define ALGORITHM_NAME "SHA1/SHA256 " SHA1_ALGORITHM_NAME " BF/AES"
#else
#define ALGORITHM_NAME "SHA1/SHA256 BF/AES 32/" ARCH_BITS_STR " " SHA2_LIB
#endif
#define BENCHMARK_COMMENT ""
#define BENCHMARK_LENGTH -1
#define BINARY_SIZE 20
#define PLAINTEXT_LENGTH 125
#define SALT_SIZE sizeof(struct custom_salt)
#define BINARY_ALIGN sizeof(ARCH_WORD_32)
#define SALT_ALIGN sizeof(int)
#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
static struct fmt_tests odf_tests[] = {
{"$odf$*0*0*1024*16*df6c10f64d191a841812af53874b636d014ce3fe*8*07e28aff39d2660e*16*b124be9f3346fb77e0ebcc3bb80028f8*0*2276a1077f6a2a027bd565ce89824d6a20086e378876be05c4b8e3796a460e828c9803a692caf7a53492c220d1d7ecbf4e2d336c7abf5a7672acc804ca267318252cbc13676616d1fde38820f9fbeef1360067d9de096ba8c1032ae947bde1d0fedaf37b6020663d49faf36b7c095c5b9aae11c8fc2be74148f008edbdbb180b44028ad8259f1215b483542bf3027f56dee5f962448333b30f88e6ae4790b60d24abb286edff9adee831a4b3351fc47259043f0d683d7a25be7e47aff3aedca140005d866e218c8efcca32093c19bbece50bd96656d0f94a712d3c60d1e5342db86482fc73f05faf513ca0b137378126597b95986c372b412c953e97011259aab0839fe453c756559497a28ba88dce009e1e7980436131029d38e56a34f608e6471970d9959068808c898608024db9eb394c4feae7a364ea9272ec4ea2315a9f0407a4b27d5e49a8ab1e3ddce5c84927d5aecd7e68e4437a820ea8743c6b5b4e2abbb47b0001e2f77ceac4603e8774e4ccbc1adde794428c11ae4a7492727b620334302e63f72b0c06c1cf83800366916ee8295176819272d557863a831ee0a576841191482959aad69095831fa1d64e3e0e6f6c6a751bcdadf0fbaa27a17458709f708c04587cb208984c9525da6786e0e5aabefe30ad1dbbef66e85ce9d6dbe456fd85e4135de5cf16d9455976d7ca8de7b1b530661c74c0fae90c0fff1a2b5fcdfab19fcff75fadcec445ed8af6ab5babf1463e08458918be8045083de6db988c37e4be582cfac5cdf741d1f0322fb2902665c7ff347813348109e5d442e91fcb010c28f042da481e807084fcb4759b40ccf2cae77bad00cdfbfba4acf36aa1f74c30a315e3d7f1ca522b6306e8903352aafa51dc523d582d418934398d5eb88120e3656bfb640a239db507b285302a86855ea850ddc9af72fc62dc79336c9bc29ee8314c65adb0574e9c701d73d7fa977edd1d52a1ff2da5b8b94e1a0fdd01ffcc6583758f0a1f51750e45f12b58c6d38b140e5676cf3474224520ef7c52ca5e634f85456651f3d6f43d016ed7cc5da54ea640a3bc50c2b9d3dea8f93c0340d66ccd06efc5ae002108c33cf3a470c4a50f6a6ca2f11b8ad15511688c282b94ba6f1c332e239d10946dc46f763f08d12cb9edc1e79c0e07f7151f548e6d7d20ec13b52d911bf980cac60694e192651403c9a69abea045190e847be093fc9ba43fec55b32f77f5796ddca25b441f259d5c51e06df6c6588c6414899481ba9e06bcebec58f82ff3021b09c6beae13a5d22bc94870f72ab813d0c0be01d91f3d075192e7a5de765599d72244757d09539529a8347e077a36678166e5ed9f73a5aad2e147d8154095c397e3e5e4ba1987ca64c1301a0c6c3e438097ede9b701a105ec38fcb54abb31b367c7740cd9ac459e561094a34f01acee555e60267157e6", "test"},
{"$odf$*1*1*1024*32*61802eba18eab842de1d053809ba40927fd40b26c69ddeca6a8a652ed9c16a28*16*c5c0815b931f313627100d592a9c972f*16*e9a48b7daff738deaabe442007fb2ec4*0*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", "test"},
{"$odf$*0*0*1024*16*43d3dbd907785c4fa5282a2e73a5914db3372505*8*b3d676d4519e6b5a*16*34e3f7fdfa67fb0078360b0df4011270*0*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", "jumper9"},
{"$odf$*0*0*1024*16*4ec0370ab589f943131240e407a35b58a341e052*8*19cadc01889f78c0*16*dcfcb8baccda277764e4e99833ab9640*0*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", "RickRoll"},
{"$odf$*0*0*1024*16*399a33262bbef99543bae29a6bb069c36e3a8f1b*8*6b721193b04fa933*16*99a6342ca7221c81890035dc5033c16f*0*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", "WhoCanItBeNow"},
/* CMIYC 2013 "pro" hard hash */
{"$odf$*1*1*1024*32*7db40092b3857fa319bc0d717b60cefc40b1d51ef92ebc893c518ffebffdf200*16*5f7c8ab6e5d1c41dbd23c384fee957ed*16*9ff092f2dd29dab6ce5fb43ad7bbdd5a*0*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", "juNK^r00M!"},
{NULL}
};
#if defined (_OPENMP)
static int omp_t = 1;
#endif
static char (*saved_key)[PLAINTEXT_LENGTH + 1];
static ARCH_WORD_32 (*crypt_out)[32 / sizeof(ARCH_WORD_32)];
static struct custom_salt {
int cipher_type;
int checksum_type;
int iterations;
int key_size;
int iv_length;
int salt_length;
int content_length;
unsigned char iv[16];
unsigned char salt[32];
unsigned char content[1024];
} *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));
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);
}
static int valid(char *ciphertext, struct fmt_main *self)
{
char *ctcopy;
char *keeptr;
char *p;
int res;
if (strncmp(ciphertext, "$odf$*", 6))
return 0;
/* handle 'chopped' .pot lines */
if (ldr_isa_pot_source(ciphertext))
return 1;
ctcopy = strdup(ciphertext);
keeptr = ctcopy;
ctcopy += 6;
if ((p = strtokm(ctcopy, "*")) == NULL) /* cipher type */
goto err;
if (strlen(p) != 1)
goto err;
res = atoi(p);
if (res != 0 && res != 1)
goto err;
if ((p = strtokm(NULL, "*")) == NULL) /* checksum type */
goto err;
if (strlen(p) != 1)
goto err;
res = atoi(p);
if (res != 0 && res != 1)
goto err;
if ((p = strtokm(NULL, "*")) == NULL) /* iterations */
goto err;
if (!isdec(p))
goto err;
if ((p = strtokm(NULL, "*")) == NULL) /* key size */
goto err;
res = atoi(p);
if (res != 16 && res != 32)
goto err;
if ((p = strtokm(NULL, "*")) == NULL) /* checksum field (skipped) */
goto err;
res = hexlenl(p);
if (res != BINARY_SIZE * 2 && res != 64) // 2 hash types.
goto err;
if ((p = strtokm(NULL, "*")) == NULL) /* iv length */
goto err;
res = atoi(p);
if (res > 16 || res < 0)
goto err;
if ((p = strtokm(NULL, "*")) == NULL) /* iv */
goto err;
if (hexlenl(p) != res * 2)
goto err;
if ((p = strtokm(NULL, "*")) == NULL) /* salt length */
goto err;
if (strlen(p) >= 10)
goto err;
res = atoi(p);
if (res > 32 || res < 0)
goto err;
if ((p = strtokm(NULL, "*")) == NULL) /* salt */
goto err;
if (hexlenl(p) != res * 2)
goto err;
if ((p = strtokm(NULL, "*")) == NULL) /* something */
goto err;
if ((p = strtokm(NULL, "*")) == NULL) /* content */
goto err;
res = strlen(p);
if (res > 2048 || res & 1)
goto err;
if (!ishexlc(p))
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;
static struct custom_salt cs;
memset(&cs, 0, sizeof(cs));
ctcopy += 6; /* skip over "$odf$*" */
p = strtokm(ctcopy, "*");
cs.cipher_type = atoi(p);
p = strtokm(NULL, "*");
cs.checksum_type = atoi(p);
p = strtokm(NULL, "*");
cs.iterations = atoi(p);
p = strtokm(NULL, "*");
cs.key_size = atoi(p);
strtokm(NULL, "*");
/* skip checksum field */
p = strtokm(NULL, "*");
cs.iv_length = atoi(p);
p = strtokm(NULL, "*");
for (i = 0; i < cs.iv_length; i++)
cs.iv[i] = atoi16[ARCH_INDEX(p[i * 2])] * 16
+ atoi16[ARCH_INDEX(p[i * 2 + 1])];
p = strtokm(NULL, "*");
cs.salt_length = atoi(p);
p = strtokm(NULL, "*");
for (i = 0; i < cs.salt_length; i++)
cs.salt[i] = atoi16[ARCH_INDEX(p[i * 2])] * 16
+ atoi16[ARCH_INDEX(p[i * 2 + 1])];
strtokm(NULL, "*");
p = strtokm(NULL, "*");
memset(cs.content, 0, sizeof(cs.content));
for (i = 0; p[i * 2] && i < 1024; i++)
cs.content[i] = atoi16[ARCH_INDEX(p[i * 2])] * 16
+ atoi16[ARCH_INDEX(p[i * 2 + 1])];
cs.content_length = i;
MEM_FREE(keeptr);
return (void *)&cs;
}
static void *get_binary(char *ciphertext)
{
static union {
unsigned char c[BINARY_SIZE+1];
ARCH_WORD dummy;
} buf;
unsigned char *out = buf.c;
char *p;
int i;
char *ctcopy = strdup(ciphertext);
char *keeptr = ctcopy;
ctcopy += 6; /* skip over "$odf$*" */
strtokm(ctcopy, "*");
strtokm(NULL, "*");
strtokm(NULL, "*");
strtokm(NULL, "*");
p = strtokm(NULL, "*");
for (i = 0; i < BINARY_SIZE; i++) {
out[i] =
(atoi16[ARCH_INDEX(*p)] << 4) |
atoi16[ARCH_INDEX(p[1])];
p += 2;
}
MEM_FREE(keeptr);
return out;
}
static int get_hash_0(int index) { return crypt_out[index][0] & PH_MASK_0; }
static int get_hash_1(int index) { return crypt_out[index][0] & PH_MASK_1; }
static int get_hash_2(int index) { return crypt_out[index][0] & PH_MASK_2; }
static int get_hash_3(int index) { return crypt_out[index][0] & PH_MASK_3; }
static int get_hash_4(int index) { return crypt_out[index][0] & PH_MASK_4; }
static int get_hash_5(int index) { return crypt_out[index][0] & PH_MASK_5; }
static int get_hash_6(int index) { return crypt_out[index][0] & PH_MASK_6; }
static void set_salt(void *salt)
{
cur_salt = (struct custom_salt *)salt;
}
static int crypt_all(int *pcount, struct db_salt *salt)
{
const int count = *pcount;
int index = 0;
#ifdef _OPENMP
#pragma omp parallel for
for (index = 0; index < count; index += MAX_KEYS_PER_CRYPT)
#endif
{
unsigned char key[MAX_KEYS_PER_CRYPT][32];
unsigned char hash[MAX_KEYS_PER_CRYPT][32];
BF_KEY bf_key;
int bf_ivec_pos, i;
unsigned char ivec[8];
unsigned char output[1024];
SHA_CTX ctx;
#ifdef SIMD_COEF_32
int lens[MAX_KEYS_PER_CRYPT];
unsigned char *pin[MAX_KEYS_PER_CRYPT], *pout[MAX_KEYS_PER_CRYPT];
#endif
if(cur_salt->checksum_type == 0 && cur_salt->cipher_type == 0) {
for (i = 0; i < MAX_KEYS_PER_CRYPT; ++i) {
SHA1_Init(&ctx);
SHA1_Update(&ctx, (unsigned char *)saved_key[index+i], strlen(saved_key[index+i]));
SHA1_Final((unsigned char *)(hash[i]), &ctx);
}
#ifdef SIMD_COEF_32
for (i = 0; i < MAX_KEYS_PER_CRYPT; ++i) {
lens[i] = 20;
pin[i] = hash[i];
pout[i] = key[i];
}
pbkdf2_sha1_sse((const unsigned char**)pin, lens, cur_salt->salt,
cur_salt->salt_length,
cur_salt->iterations, pout,
cur_salt->key_size, 0);
#else
pbkdf2_sha1(hash[0], 20, cur_salt->salt,
cur_salt->salt_length,
cur_salt->iterations, key[0],
cur_salt->key_size, 0);
#endif
for (i = 0; i < MAX_KEYS_PER_CRYPT; ++i) {
bf_ivec_pos = 0;
memcpy(ivec, cur_salt->iv, 8);
BF_set_key(&bf_key, cur_salt->key_size, key[i]);
BF_cfb64_encrypt(cur_salt->content, output, cur_salt->content_length, &bf_key, ivec, &bf_ivec_pos, 0);
SHA1_Init(&ctx);
SHA1_Update(&ctx, output, cur_salt->content_length);
SHA1_Final((unsigned char*)crypt_out[index+i], &ctx);
}
}
else {
SHA256_CTX ctx;
AES_KEY akey;
unsigned char iv[16];
for (i = 0; i < MAX_KEYS_PER_CRYPT; ++i) {
SHA256_Init(&ctx);
SHA256_Update(&ctx, (unsigned char *)saved_key[index+i], strlen(saved_key[index+i]));
SHA256_Final((unsigned char *)hash[i], &ctx);
}
#ifdef SIMD_COEF_32
for (i = 0; i < MAX_KEYS_PER_CRYPT; ++i) {
lens[i] = 32;
pin[i] = hash[i];
pout[i] = key[i];
}
pbkdf2_sha1_sse((const unsigned char**)pin, lens, cur_salt->salt,
cur_salt->salt_length,
cur_salt->iterations, pout,
cur_salt->key_size, 0);
#else
pbkdf2_sha1(hash[0], 32, cur_salt->salt,
cur_salt->salt_length,
cur_salt->iterations, key[0],
cur_salt->key_size, 0);
#endif
for (i = 0; i < MAX_KEYS_PER_CRYPT; ++i) {
memcpy(iv, cur_salt->iv, 16);
memset(&akey, 0, sizeof(AES_KEY));
if(AES_set_decrypt_key(key[i], 256, &akey) < 0) {
fprintf(stderr, "AES_set_decrypt_key failed!\n");
}
AES_cbc_encrypt(cur_salt->content, output, cur_salt->content_length, &akey, iv, AES_DECRYPT);
SHA256_Init(&ctx);
SHA256_Update(&ctx, output, cur_salt->content_length);
SHA256_Final((unsigned char*)crypt_out[index+i], &ctx);
}
}
}
return count;
}
static int cmp_all(void *binary, int count)
{
int index = 0;
for (; index < count; index++)
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;
}
static void odf_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];
}
/*
* The format tests all have iteration count 1024.
* Just in case the iteration count is tunable, let's report it.
*/
static unsigned int iteration_count(void *salt)
{
struct custom_salt *my_salt;
my_salt = salt;
return (unsigned int) my_salt->iterations;
}
struct fmt_main fmt_odf = {
{
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",
},
odf_tests
}, {
init,
done,
fmt_default_reset,
fmt_default_prepare,
valid,
fmt_default_split,
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
},
fmt_default_salt_hash,
NULL,
set_salt,
odf_set_key,
get_key,
fmt_default_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 */
|
GeometryConverter.h | /* -*-c++-*- IfcQuery www.ifcquery.com
*
MIT License
Copyright (c) 2017 Fabian Gerold
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
*/
#pragma once
#include <unordered_set>
#include <ifcpp/model/BasicTypes.h>
#include <ifcpp/model/BuildingModel.h>
#include <ifcpp/model/StatusCallback.h>
#include <ifcpp/IFC4/include/IfcCurtainWall.h>
#include <ifcpp/IFC4/include/IfcPropertySetDefinitionSet.h>
#include <ifcpp/IFC4/include/IfcRelAggregates.h>
#include <ifcpp/IFC4/include/IfcRelContainedInSpatialStructure.h>
#include <ifcpp/IFC4/include/IfcRelDefinesByProperties.h>
#include <ifcpp/IFC4/include/IfcSpace.h>
#include <ifcpp/IFC4/include/IfcWindow.h>
#include "IncludeCarveHeaders.h"
#include "GeometryInputData.h"
#include "RepresentationConverter.h"
#include "CSG_Adapter.h"
class GeometryConverter : public StatusCallback
{
protected:
shared_ptr<BuildingModel> m_ifc_model;
shared_ptr<GeometrySettings> m_geom_settings;
shared_ptr<RepresentationConverter> m_representation_converter;
std::map<int, shared_ptr<ProductShapeData> > m_product_shape_data;
std::map<int, shared_ptr<BuildingObject> > m_map_outside_spatial_structure;
double m_recent_progress;
std::map<int, std::vector<shared_ptr<StatusCallback::Message> > > m_messages;
#ifdef ENABLE_OPENMP
Mutex m_writelock_messages;
#endif
public:
// getters and setters
shared_ptr<BuildingModel>& getBuildingModel() { return m_ifc_model; }
shared_ptr<RepresentationConverter>& getRepresentationConverter() { return m_representation_converter; }
shared_ptr<GeometrySettings>& getGeomSettings() { return m_geom_settings; }
std::map<int, shared_ptr<ProductShapeData> >& getShapeInputData() { return m_product_shape_data; }
std::map<int, shared_ptr<BuildingObject> >& getObjectsOutsideSpatialStructure() { return m_map_outside_spatial_structure; }
GeometryConverter( shared_ptr<BuildingModel>& ifc_model )
{
m_ifc_model = ifc_model;
m_geom_settings = shared_ptr<GeometrySettings>( new GeometrySettings() );
resetNumVerticesPerCircle();
shared_ptr<UnitConverter>& unit_converter = m_ifc_model->getUnitConverter();
m_representation_converter = shared_ptr<RepresentationConverter>( new RepresentationConverter( m_geom_settings, unit_converter ) );
// redirect all messages to this->messageTarget
m_ifc_model->setMessageTarget( this );
m_representation_converter->setMessageTarget( this );
}
virtual ~GeometryConverter() {}
void resetModel()
{
progressTextCallback( L"Unloading model, cleaning up memory..." );
clearInputCache();
m_recent_progress = 0.0;
m_ifc_model->clearCache();
m_ifc_model->clearIfcModel();
progressTextCallback( L"Unloading model done" );
progressValueCallback( 0.0, "parse" );
#ifdef _DEBUG
GeomDebugDump::clearMeshsetDump();
#endif
}
void clearInputCache()
{
m_product_shape_data.clear();
m_map_outside_spatial_structure.clear();
m_representation_converter->clearCache();
m_messages.clear();
}
void resetNumVerticesPerCircle()
{
m_geom_settings->resetNumVerticesPerCircle();
}
void setModel( shared_ptr<BuildingModel> model )
{
if( m_ifc_model )
{
m_ifc_model->unsetMessageCallBack();
}
clearInputCache();
m_ifc_model = model;
m_representation_converter->clearCache();
m_representation_converter->setUnitConverter( m_ifc_model->getUnitConverter() );
m_ifc_model->setMessageTarget( this );
}
void resolveProjectStructure( shared_ptr<ProductShapeData>& product_data )
{
if( !product_data )
{
return;
}
if( product_data->m_ifc_object_definition.expired() )
{
return;
}
shared_ptr<IfcObjectDefinition> ifc_object_def( product_data->m_ifc_object_definition );
const int entity_id = ifc_object_def->m_entity_id;
product_data->m_added_to_spatial_structure = true;
const std::vector<weak_ptr<IfcRelAggregates> >& vec_IsDecomposedBy = ifc_object_def->m_IsDecomposedBy_inverse;
for( size_t ii = 0; ii < vec_IsDecomposedBy.size(); ++ii )
{
const weak_ptr<IfcRelAggregates>& rel_aggregates_weak_ptr = vec_IsDecomposedBy[ii];
if( rel_aggregates_weak_ptr.expired() )
{
continue;
}
shared_ptr<IfcRelAggregates> rel_aggregates( rel_aggregates_weak_ptr );
if( rel_aggregates )
{
const std::vector<shared_ptr<IfcObjectDefinition> >& vec_related_objects = rel_aggregates->m_RelatedObjects;
for( size_t jj = 0; jj < vec_related_objects.size(); ++jj )
{
const shared_ptr<IfcObjectDefinition>& related_obj_def = vec_related_objects[jj];
if( related_obj_def )
{
auto it_product_map = m_product_shape_data.find( related_obj_def->m_entity_id );
if( it_product_map != m_product_shape_data.end() )
{
shared_ptr<ProductShapeData>& related_product_shape = it_product_map->second;
if( related_product_shape )
{
product_data->addChildProduct( related_product_shape, product_data );
resolveProjectStructure( related_product_shape );
}
}
}
}
}
}
shared_ptr<IfcSpatialStructureElement> spatial_ele = dynamic_pointer_cast<IfcSpatialStructureElement>(ifc_object_def);
if( spatial_ele )
{
const std::vector<weak_ptr<IfcRelContainedInSpatialStructure> >& vec_contains = spatial_ele->m_ContainsElements_inverse;
for( size_t ii = 0; ii < vec_contains.size(); ++ii )
{
const weak_ptr<IfcRelContainedInSpatialStructure>& rel_contained_weak_ptr = vec_contains[ii];
if( rel_contained_weak_ptr.expired() )
{
continue;
}
shared_ptr<IfcRelContainedInSpatialStructure> rel_contained( rel_contained_weak_ptr );
if( rel_contained )
{
const std::vector<shared_ptr<IfcProduct> >& vec_related_elements = rel_contained->m_RelatedElements;
for( size_t jj = 0; jj < vec_related_elements.size(); ++jj )
{
const shared_ptr<IfcProduct>& related_product = vec_related_elements[jj];
if( related_product )
{
auto it_product_map = m_product_shape_data.find( related_product->m_entity_id );
if( it_product_map != m_product_shape_data.end() )
{
shared_ptr<ProductShapeData>& related_product_shape = it_product_map->second;
if( related_product_shape )
{
product_data->addChildProduct( related_product_shape, product_data );
resolveProjectStructure( related_product_shape );
}
}
}
}
}
}
}
// TODO: handle IfcRelAssignsToProduct
}
void readAppearanceFromPropertySet( const shared_ptr<IfcPropertySet>& prop_set, shared_ptr<ProductShapeData>& product_shape )
{
if( !prop_set )
{
return;
}
for( auto& ifc_property : prop_set->m_HasProperties )
{
if( !ifc_property )
{
continue;
}
shared_ptr<IfcSimpleProperty> simple_property = dynamic_pointer_cast<IfcSimpleProperty>(ifc_property);
if( simple_property )
{
// ENTITY IfcSimpleProperty ABSTRACT SUPERTYPE OF(ONEOF( IfcPropertyBoundedValue, IfcPropertyEnumeratedValue, IfcPropertyListValue,
// IfcPropertyReferenceValue, IfcPropertySingleValue, IfcPropertyTableValue))
shared_ptr<IfcIdentifier> property_name = simple_property->m_Name;
std::wstring name_str = property_name->m_value;
if( name_str.compare( L"LayerName" ) == 0 )
{
// TODO: implement layers
}
shared_ptr<IfcText> description = simple_property->m_Description;
shared_ptr<IfcPropertySingleValue> property_single_value = dynamic_pointer_cast<IfcPropertySingleValue>(simple_property);
if( property_single_value )
{
//shared_ptr<IfcValue>& nominal_value = property_single_value->m_NominalValue; //optional
//shared_ptr<IfcUnit>& unit = property_single_value->m_Unit; //optional
}
continue;
}
shared_ptr<IfcComplexProperty> complex_property = dynamic_pointer_cast<IfcComplexProperty>(ifc_property);
if( complex_property )
{
if( !complex_property->m_UsageName ) continue;
if( complex_property->m_UsageName->m_value.compare( L"Color" ) == 0 )
{
vec4 vec_color;
m_representation_converter->getStylesConverter()->convertIfcComplexPropertyColor( complex_property, vec_color );
shared_ptr<AppearanceData> appearance_data( new AppearanceData( -1 ) );
if( !appearance_data )
{
throw OutOfMemoryException( __FUNC__ );
}
appearance_data->m_apply_to_geometry_type = AppearanceData::GEOM_TYPE_ANY;
appearance_data->m_color_ambient.setColor( vec_color );
appearance_data->m_color_diffuse.setColor( vec_color );
appearance_data->m_color_specular.setColor( vec_color );
appearance_data->m_shininess = 35.f;
product_shape->addAppearance( appearance_data );
}
}
}
}
/*\brief method convertGeometry: Creates geometry for Carve from previously loaded BuildingModel model.
\param[out] parent_group Group to append the resulting geometry.
**/
void convertGeometry()
{
progressTextCallback( L"Creating geometry..." );
progressValueCallback( 0, "geometry" );
m_product_shape_data.clear();
m_map_outside_spatial_structure.clear();
m_representation_converter->clearCache();
if( !m_ifc_model )
{
return;
}
shared_ptr<ProductShapeData> ifc_project_data;
std::vector<shared_ptr<IfcObjectDefinition> > vec_object_defs;
double length_to_meter_factor = 1.0;
if( m_ifc_model->getUnitConverter() )
{
length_to_meter_factor = m_ifc_model->getUnitConverter()->getLengthInMeterFactor();
}
carve::setEpsilon( 1.5e-05*length_to_meter_factor );
const std::map<int, shared_ptr<BuildingEntity> >& map_entities = m_ifc_model->getMapIfcEntities();
for( auto it = map_entities.begin(); it != map_entities.end(); ++it )
{
shared_ptr<BuildingEntity> obj = it->second;
shared_ptr<IfcObjectDefinition> object_def = dynamic_pointer_cast<IfcObjectDefinition>(obj);
if( object_def )
{
vec_object_defs.push_back( object_def );
}
}
// create geometry for for each IfcProduct independently, spatial structure will be resolved later
std::map<int, shared_ptr<ProductShapeData> >* map_products_ptr = &m_product_shape_data;
const int num_products = (int)vec_object_defs.size();
#ifdef ENABLE_OPENMP
Mutex writelock_map;
Mutex writelock_ifc_project;
#pragma omp parallel firstprivate(num_products) shared(map_products_ptr)
{
// time for one product may vary significantly, so schedule not so many
#pragma omp for schedule(dynamic,40)
#endif
for( int i = 0; i < num_products; ++i )
{
shared_ptr<IfcObjectDefinition> ifc_object_def = vec_object_defs[i];
const int entity_id = ifc_object_def->m_entity_id;
shared_ptr<ProductShapeData> product_geom_input_data( new ProductShapeData( entity_id ) );
product_geom_input_data->m_ifc_object_definition = ifc_object_def;
std::stringstream thread_err;
if( !m_geom_settings->getRenderObjectFilter()(ifc_object_def) )
{
// geometry will be created in method subtractOpenings
continue;
}
else if( dynamic_pointer_cast<IfcProject>(ifc_object_def) )
{
#ifdef ENABLE_OPENMP
ScopedLock scoped_lock( writelock_ifc_project );
#endif
ifc_project_data = product_geom_input_data;
}
try
{
convertIfcProductShape( product_geom_input_data );
}
catch( OutOfMemoryException& e )
{
throw e;
}
catch( BuildingException& e )
{
thread_err << e.what();
}
catch( carve::exception& e )
{
thread_err << e.str();
}
catch( std::exception& e )
{
thread_err << e.what();
}
catch( ... )
{
thread_err << "undefined error, product id " << entity_id;
}
{
#ifdef ENABLE_OPENMP
ScopedLock scoped_lock( writelock_map );
#endif
map_products_ptr->insert( std::make_pair( entity_id, product_geom_input_data ) );
if( thread_err.tellp() > 0 )
{
messageCallback( thread_err.str().c_str(), StatusCallback::MESSAGE_TYPE_ERROR, __FUNC__ );
}
}
// progress callback
double progress = (double)i / (double)num_products;
if( progress - m_recent_progress > 0.02 )
{
#ifdef ENABLE_OPENMP
if( omp_get_thread_num() == 0 )
#endif
{
// leave 10% of progress to openscenegraph internals
progressValueCallback( progress*0.9, "geometry" );
m_recent_progress = progress;
}
}
}
#ifdef ENABLE_OPENMP
} // implicit barrier
#endif
// subtract openings in related objects, such as IFCBUILDINGELEMENTPART connected to a window through IFCRELAGGREGATES
for( auto it = map_products_ptr->begin(); it != map_products_ptr->end(); ++it )
{
shared_ptr<ProductShapeData> product_geom_input_data = it->second;
try
{
subtractOpeningsInRelatedObjects(product_geom_input_data);
}
catch( OutOfMemoryException& e )
{
throw e;
}
catch( BuildingException& e )
{
messageCallback(e.what(), StatusCallback::MESSAGE_TYPE_ERROR, "");
}
catch( carve::exception& e )
{
messageCallback(e.str(), StatusCallback::MESSAGE_TYPE_ERROR, "");
}
catch( std::exception& e )
{
messageCallback(e.what(), StatusCallback::MESSAGE_TYPE_ERROR, "");
}
catch( ... )
{
messageCallback("undefined error", StatusCallback::MESSAGE_TYPE_ERROR, __FUNC__);
}
}
try
{
// now resolve spatial structure
if( ifc_project_data )
{
resolveProjectStructure( ifc_project_data );
}
// check if there are entities that are not in spatial structure
for( auto it_product_shapes = m_product_shape_data.begin(); it_product_shapes != m_product_shape_data.end(); ++it_product_shapes )
{
shared_ptr<ProductShapeData> product_shape = it_product_shapes->second;
if( !product_shape )
{
continue;
}
if( !product_shape->m_added_to_spatial_structure )
{
if( !product_shape->m_ifc_object_definition.expired() )
{
shared_ptr<IfcObjectDefinition> ifc_product( product_shape->m_ifc_object_definition );
shared_ptr<IfcFeatureElementSubtraction> opening = dynamic_pointer_cast<IfcFeatureElementSubtraction>(ifc_product);
if( !m_geom_settings->getRenderObjectFilter()(ifc_product) )
{
continue;
}
m_map_outside_spatial_structure[ifc_product->m_entity_id] = ifc_product;
}
}
}
}
catch( OutOfMemoryException& e )
{
throw e;
}
catch( BuildingException& e )
{
messageCallback( e.what(), StatusCallback::MESSAGE_TYPE_ERROR, "" );
}
catch( std::exception& e )
{
messageCallback( e.what(), StatusCallback::MESSAGE_TYPE_ERROR, "" );
}
catch( ... )
{
messageCallback( "undefined error", StatusCallback::MESSAGE_TYPE_ERROR, __FUNC__ );
}
m_representation_converter->getProfileCache()->clearProfileCache();
progressTextCallback( L"Loading file done" );
progressValueCallback( 1.0, "geometry" );
}
//\brief method convertIfcProduct: Creates geometry objects (meshset with connected vertex-edge-face graph) from an IfcProduct object
// caution: when using OpenMP, this method runs in parallel threads, so every write access to member variables needs a write lock
void convertIfcProductShape( shared_ptr<ProductShapeData>& product_shape )
{
if( product_shape->m_ifc_object_definition.expired() )
{
return;
}
shared_ptr<IfcObjectDefinition> ifc_object_def( product_shape->m_ifc_object_definition );
shared_ptr<IfcProduct> ifc_product = dynamic_pointer_cast<IfcProduct>(ifc_object_def);
if( !ifc_product )
{
return;
}
if( !ifc_product->m_Representation )
{
return;
}
double length_factor = 1.0;
if( m_ifc_model )
{
if( m_ifc_model->getUnitConverter() )
{
length_factor = m_ifc_model->getUnitConverter()->getLengthInMeterFactor();
}
}
// evaluate IFC geometry
shared_ptr<IfcProductRepresentation>& product_representation = ifc_product->m_Representation;
std::vector<shared_ptr<IfcRepresentation> >& vec_representations = product_representation->m_Representations;
for( size_t i_representations = 0; i_representations < vec_representations.size(); ++i_representations )
{
const shared_ptr<IfcRepresentation>& representation = vec_representations[i_representations];
if( !representation )
{
continue;
}
try
{
shared_ptr<RepresentationData> representation_data( new RepresentationData() );
m_representation_converter->convertIfcRepresentation( representation, representation_data );
product_shape->m_vec_representations.push_back( representation_data );
representation_data->m_parent_product = product_shape;
}
catch( OutOfMemoryException& e )
{
throw e;
}
catch( BuildingException& e )
{
messageCallback( e.what(), StatusCallback::MESSAGE_TYPE_ERROR, "" );
}
catch( std::exception& e )
{
messageCallback( e.what(), StatusCallback::MESSAGE_TYPE_ERROR, "" );
}
}
// IfcProduct has an ObjectPlacement that can be local or global
product_shape->m_object_placement = ifc_product->m_ObjectPlacement;
if( ifc_product->m_ObjectPlacement )
{
// IfcPlacement2Matrix follows related placements in case of local coordinate systems
std::unordered_set<IfcObjectPlacement*> placement_already_applied;
m_representation_converter->getPlacementConverter()->convertIfcObjectPlacement( ifc_product->m_ObjectPlacement, product_shape, placement_already_applied, false );
}
// handle openings
std::vector<shared_ptr<ProductShapeData> > vec_opening_data;
const shared_ptr<IfcElement> ifc_element = dynamic_pointer_cast<IfcElement>(ifc_product);
if( ifc_element )
{
m_representation_converter->subtractOpenings(ifc_element, product_shape);
}
// Fetch the IFCProduct relationships
if( ifc_product->m_IsDefinedBy_inverse.size() > 0 )
{
std::vector<weak_ptr<IfcRelDefinesByProperties> >& vec_IsDefinedBy_inverse = ifc_product->m_IsDefinedBy_inverse;
for( size_t i = 0; i < vec_IsDefinedBy_inverse.size(); ++i )
{
shared_ptr<IfcRelDefinesByProperties> rel_def( vec_IsDefinedBy_inverse[i] );
shared_ptr<IfcPropertySetDefinitionSelect> relating_property_definition_select = rel_def->m_RelatingPropertyDefinition;
if( relating_property_definition_select )
{
// TYPE IfcPropertySetDefinitionSelect = SELECT (IfcPropertySetDefinition ,IfcPropertySetDefinitionSet);
shared_ptr<IfcPropertySetDefinition> property_set_def = dynamic_pointer_cast<IfcPropertySetDefinition>(relating_property_definition_select);
if( property_set_def )
{
shared_ptr<IfcPropertySet> property_set = dynamic_pointer_cast<IfcPropertySet>(property_set_def);
if( property_set )
{
readAppearanceFromPropertySet( property_set, product_shape );
}
continue;
}
shared_ptr<IfcPropertySetDefinitionSet> property_set_def_set = dynamic_pointer_cast<IfcPropertySetDefinitionSet>(relating_property_definition_select);
if( property_set_def_set )
{
std::vector<shared_ptr<IfcPropertySetDefinition> >& vec_propterty_set_def = property_set_def_set->m_vec;
std::vector<shared_ptr<IfcPropertySetDefinition> >::iterator it_property_set_def;
for( it_property_set_def = vec_propterty_set_def.begin(); it_property_set_def != vec_propterty_set_def.end(); ++it_property_set_def )
{
shared_ptr<IfcPropertySetDefinition> property_set_def2 = (*it_property_set_def);
if( property_set_def2 )
{
shared_ptr<IfcPropertySet> property_set = dynamic_pointer_cast<IfcPropertySet>(property_set_def2);
if( property_set )
{
readAppearanceFromPropertySet( property_set, product_shape );
}
}
}
continue;
}
}
}
}
}
void subtractOpeningsInRelatedObjects(shared_ptr<ProductShapeData>& product_shape)
{
if( product_shape->m_ifc_object_definition.expired() )
{
return;
}
shared_ptr<IfcObjectDefinition> ifc_object_def(product_shape->m_ifc_object_definition);
shared_ptr<IfcElement> ifc_element = dynamic_pointer_cast<IfcElement>(ifc_object_def);
if( !ifc_element )
{
return;
}
if( ifc_element->m_HasOpenings_inverse.size() == 0 )
{
return;
}
// collect aggregated objects
const std::vector<weak_ptr<IfcRelAggregates> >& vec_decomposed_by = ifc_element->m_IsDecomposedBy_inverse;
for( auto& decomposed_by : vec_decomposed_by )
{
if( decomposed_by.expired() )
{
continue;
}
shared_ptr<IfcRelAggregates> decomposed_by_aggregates(decomposed_by);
std::vector<shared_ptr<IfcObjectDefinition> >& vec_related_objects = decomposed_by_aggregates->m_RelatedObjects;
for( auto& related_object : vec_related_objects )
{
if( !related_object )
{
continue;
}
if( related_object->m_entity_id >= 0 )
{
auto it_find_related_shape = m_product_shape_data.find(related_object->m_entity_id);
if( it_find_related_shape != m_product_shape_data.end() )
{
shared_ptr<ProductShapeData>& related_product_shape = it_find_related_shape->second;
m_representation_converter->subtractOpenings(ifc_element, related_product_shape);
}
}
}
}
}
virtual void messageTarget( void* ptr, shared_ptr<StatusCallback::Message> m )
{
GeometryConverter* myself = (GeometryConverter*)ptr;
if( myself )
{
if( m->m_entity )
{
#ifdef ENABLE_OPENMP
ScopedLock lock( myself->m_writelock_messages );
#endif
// make sure that the same message for one entity does not appear several times
const int entity_id = m->m_entity->m_entity_id;
auto it = myself->m_messages.find( entity_id );
if( it != myself->m_messages.end() )
{
std::vector<shared_ptr<StatusCallback::Message> >& vec_message_for_entity = it->second;
for( size_t i = 0; i < vec_message_for_entity.size(); ++i )
{
shared_ptr<StatusCallback::Message>& existing_message = vec_message_for_entity[i];
if( existing_message->m_message_text.compare( m->m_message_text ) == 0 )
{
// same message for same entity is already there, so ignore message
return;
}
}
vec_message_for_entity.push_back( m );
}
else
{
std::vector<shared_ptr<StatusCallback::Message> >& vec = myself->m_messages.insert( std::make_pair( entity_id, std::vector<shared_ptr<StatusCallback::Message> >() ) ).first->second;
vec.push_back( m );
}
}
myself->messageCallback( m );
}
}
};
|
dlaset.c | /**
*
* @file
*
* PLASMA is a software package provided by:
* University of Tennessee, US,
* University of Manchester, UK.
*
* @generated from /home/luszczek/workspace/plasma/bitbucket/plasma/compute/zlaset.c, normal z -> d, Fri Sep 28 17:38:08 2018
*
**/
#include "plasma.h"
#include "plasma_async.h"
#include "plasma_context.h"
#include "plasma_descriptor.h"
#include "plasma_internal.h"
#include "plasma_tuning.h"
#include "plasma_types.h"
/******************************************************************************/
int plasma_dlaset(plasma_enum_t uplo,
int m, int n,
double alpha, double beta,
double *pA, int lda)
{
// Get PLASMA context.
plasma_context_t *plasma = plasma_context_self();
if (plasma == NULL) {
plasma_error("PLASMA not initialized");
return PlasmaErrorNotInitialized;
}
// Check input arguments.
if ((uplo != PlasmaGeneral) &&
(uplo != PlasmaUpper) &&
(uplo != PlasmaLower)) {
plasma_error("illegal value of uplo");
return -1;
}
if (m < 0) {
plasma_error("illegal value of m");
return -2;
}
if (n < 0) {
plasma_error("illegal value of n");
return -3;
}
if (lda < imax(1, m)) {
plasma_error("illegal value of lda");
return -5;
}
// quick return
if (imin(n, m) == 0)
return PlasmaSuccess;
// Tune parameters.
if (plasma->tuning)
plasma_tune_laset(plasma, PlasmaRealDouble, m, n);
// Set tiling parameters.
int nb = plasma->nb;
// Create tile matrices.
plasma_desc_t A;
int retval;
retval = plasma_desc_general_create(PlasmaRealDouble, nb, nb,
m, n, 0, 0, m, n, &A);
if (retval != PlasmaSuccess) {
plasma_error("plasma_general_desc_create() failed");
return retval;
}
// Initialize sequence.
plasma_sequence_t sequence;
retval = plasma_sequence_init(&sequence);
// Initialize request.
plasma_request_t request;
retval = plasma_request_init(&request);
// asynchronous block
#pragma omp parallel
#pragma omp master
{
// Translate to tile layout.
plasma_omp_dge2desc(pA, lda, A, &sequence, &request);
// Call tile async function.
plasma_omp_dlaset(uplo, alpha, beta, A, &sequence, &request);
// Translate back to LAPACK layout.
plasma_omp_ddesc2ge(A, pA, lda, &sequence, &request);
}
// implicit synchronization
// Free matrices in tile layout.
plasma_desc_destroy(&A);
// Return status.
int status = sequence.status;
return status;
}
/******************************************************************************/
void plasma_omp_dlaset(plasma_enum_t uplo,
double alpha, double beta,
plasma_desc_t A,
plasma_sequence_t *sequence, plasma_request_t *request)
{
// Get PLASMA context.
plasma_context_t *plasma = plasma_context_self();
if (plasma == NULL) {
plasma_error("PLASMA not initialized");
plasma_request_fail(sequence, request, PlasmaErrorIllegalValue);
return;
}
// Check input arguments.
if ((uplo != PlasmaGeneral) &&
(uplo != PlasmaUpper) &&
(uplo != PlasmaLower)) {
plasma_error("illegal value of uplo");
plasma_request_fail(sequence, request, PlasmaErrorIllegalValue);
return;
}
if (plasma_desc_check(A) != PlasmaSuccess) {
plasma_error("invalid A");
plasma_request_fail(sequence, request, PlasmaErrorIllegalValue);
return;
}
if (sequence == NULL) {
plasma_error("NULL sequence");
plasma_request_fail(sequence, request, PlasmaErrorIllegalValue);
return;
}
if (request == NULL) {
plasma_error("NULL request");
plasma_request_fail(sequence, request, PlasmaErrorIllegalValue);
return;
}
// quick return
if (imin(A.m, A.n) == 0)
return;
// Call the parallel function.
plasma_pdlaset(uplo, alpha, beta, A, sequence, request);
}
|
bucle-for.c | #include <stdio.h>
#include <stdlib.h>
#include <omp.h>
int main(int argc, char **argv) {
int i, n = 9;
if(argc < 2) {
fprintf(stderr,"\n[ERROR] - Falta no iteraciones \n");
exit(-1);
}
n = atoi(argv[1]);
#pragma omp parallel for
{
for (i=0; i<n; i++)
printf("thread %d ejecuta la iteración %d del bucle\n",
omp_get_thread_num(),i);
}
return(0);
}
|
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 *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
|
3d25pt.c | /*
* Order-2, 3D 25 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)
#ifndef min
#define min(x,y) ((x) < (y)? (x) : (y))
#endif
/* 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])+8;
Ny = atoi(argv[2])+8;
Nz = atoi(argv[3])+8;
}
if (argc > 4)
Nt = atoi(argv[4]);
double ****A = (double ****) malloc(sizeof(double***)*2);
double ***roc2 = (double ***) malloc(sizeof(double**));
A[0] = (double ***) malloc(sizeof(double**)*Nz);
A[1] = (double ***) malloc(sizeof(double**)*Nz);
roc2 = (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);
roc2[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);
roc2[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] = 8;
tile_size[3] = 128;
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);
roc2[i][j][k] = 2.0 * (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
const double coef0 = -0.28472;
const double coef1 = 0.16000;
const double coef2 = -0.02000;
const double coef3 = 0.00254;
const double coef4 = -0.00018;
for(test=0; test<TESTS; test++){
gettimeofday(&start, 0);
// serial execution - Addition: 6 && Multiplication: 2
#pragma scop
for (t = 0; t < Nt; t++) {
for (i = 4; i < Nz-4; i++) {
for (j = 4; j < Ny-4; j++) {
for (k = 4; k < Nx-4; k++) {
A[(t+1)%2][i][j][k] = 2.0*A[t%2][i][j][k] - A[(t+1)%2][i][j][k] + roc2[i][j][k]*(
coef0* A[t%2][i ][j ][k ] +
coef1*(A[t%2][i-1][j ][k ] + A[t%2][i+1][j ][k ] +
A[t%2][i ][j-1][k ] + A[t%2][i ][j+1][k ] +
A[t%2][i ][j ][k-1] + A[t%2][i ][j ][k+1]) +
coef2*(A[t%2][i-2][j ][k ] + A[t%2][i+2][j ][k ] +
A[t%2][i ][j-2][k ] + A[t%2][i ][j+2][k ] +
A[t%2][i ][j ][k-2] + A[t%2][i ][j ][k+2]) +
coef3*(A[t%2][i-3][j ][k ] + A[t%2][i+3][j ][k ] +
A[t%2][i ][j-3][k ] + A[t%2][i ][j+3][k ] +
A[t%2][i ][j ][k-3] + A[t%2][i ][j ][k+3]) +
coef4*(A[t%2][i-4][j ][k ] + A[t%2][i+4][j ][k ] +
A[t%2][i ][j-4][k ] + A[t%2][i ][j+4][k ] +
A[t%2][i ][j ][k-4] + A[t%2][i ][j ][k+4]) );
}
}
}
}
#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(4, "constant")
#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(roc2[i][j]);
}
free(A[0][i]);
free(A[1][i]);
free(roc2[i]);
}
free(A[0]);
free(A[1]);
free(roc2);
return 0;
}
|
rdTest1.c | int main() {
int i = 0;
int w;
int wPrime = 10;
int u, q;
#pragma omp parallel
{
while (1) {
i++;
#pragma omp single
{
w = wPrime;
u = 11;
}
if (i >= 100) {
break;
}
u = wPrime + 1;
q = w + 1;
wPrime = w;
}
wPrime = w + 1;
}
}
|
pi_reentrant.c | #include <err.h>
#include <stdio.h>
#include <stdlib.h>
#ifdef _OPENMP
#include <omp.h>
#endif
/*
* This program approximates pi by computing the area of a quarter circle and
* compare that to a square that circumscribes it. It generateds random x and
* y coordinates and checks whether these are in the quarter circle or not.
*
* For performance tests, the application can optionally be called with an
* integer value to control the size of the for-loop. An additional optional
* positive integer can serve as the seed for the random number generator that
* is used to generate the seeds for the re-entrant random number generators
* in each of the threads.
*/
int main(int argc, char *argv[]) {
int num_threads = 1;
long nr_tries = 10000;
if (argc > 1)
nr_tries = atol(argv[1]);
unsigned int seed = 1234;
if (argc > 2)
seed = atoi(argv[2]);
long nr_successes = 0;
unsigned int *seeds;
#pragma omp parallel default(none) shared(num_threads, seed, seeds, nr_tries, nr_successes)
{
int thread_num = 0;
#ifdef _OPENMP
thread_num = omp_get_thread_num();
#endif
// a single thread will determine the number of threads
#pragma omp single
#ifdef _OPENMP
num_threads = omp_get_num_threads();
#endif
// printing the number of threads can be done in parallel with initializing seeds
#pragma omp sections
{
#pragma omp section
printf("running with %d threads\n", num_threads);
#pragma omp section
{
// a single thread will allocate memory for and initialize the seeds
if (!(seeds = (unsigned int *) malloc(num_threads*sizeof(int))))
errx(1, "can not allocate seed array of length %d",
num_threads);
srand(seed);
for (int num = 0; num < num_threads; num++)
seeds[num] = rand();
}
}
printf("thread %d: seed %d\n", thread_num, seeds[thread_num]);
// all threads compute the number of successes
#pragma omp for reduction(+:nr_successes)
for (int try_nr = 0; try_nr < nr_tries; try_nr++) {
double x = ((double) rand_r(&(seeds[thread_num])))/((double) RAND_MAX);
double y = ((double) rand_r(&(seeds[thread_num])))/((double) RAND_MAX);
if (x*x + y*y < 1.0)
nr_successes++;
}
// a single thread deallocates the memory
#pragma omp single
free(seeds);
}
double pi = 4.0*((double) nr_successes)/((double) nr_tries);
printf("pi = %lf\n", pi);
return 0;
}
|
for_simd_misc_messages.c | // RUN: %clang_cc1 -fsyntax-only -fopenmp -verify %s
// expected-error@+1 {{unexpected OpenMP directive '#pragma omp for simd'}}
#pragma omp for simd
// expected-error@+1 {{unexpected OpenMP directive '#pragma omp for simd'}}
#pragma omp for simd foo
void test_no_clause() {
int i;
#pragma omp for simd
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{statement after '#pragma omp for simd' must be a for loop}}
#pragma omp for simd
++i;
}
void test_branch_protected_scope() {
int i = 0;
L1:
++i;
int x[24];
#pragma omp parallel
#pragma omp for simd
for (i = 0; i < 16; ++i) {
if (i == 5)
goto L1; // expected-error {{use of undeclared label 'L1'}}
else if (i == 6)
return; // expected-error {{cannot return from OpenMP region}}
else if (i == 7)
goto L2;
else if (i == 8) {
L2:
x[i]++;
}
}
if (x[0] == 0)
goto L2; // expected-error {{use of undeclared label 'L2'}}
else if (x[1] == 1)
goto L1;
}
void test_invalid_clause() {
int i;
#pragma omp parallel
// expected-warning@+1 {{extra tokens at the end of '#pragma omp for simd' are ignored}}
#pragma omp for simd foo bar
for (i = 0; i < 16; ++i)
;
}
void test_non_identifiers() {
int i, x;
#pragma omp parallel
// expected-warning@+1 {{extra tokens at the end of '#pragma omp for simd' are ignored}}
#pragma omp for simd;
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-warning@+1 {{extra tokens at the end of '#pragma omp for simd' are ignored}}
#pragma omp for simd linear(x);
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-warning@+1 {{extra tokens at the end of '#pragma omp for simd' are ignored}}
#pragma omp for simd private(x);
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-warning@+1 {{extra tokens at the end of '#pragma omp for simd' are ignored}}
#pragma omp for simd, private(x);
for (i = 0; i < 16; ++i)
;
}
extern int foo();
void test_safelen() {
int i;
// expected-error@+1 {{expected '('}}
#pragma omp for simd safelen
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp for simd safelen(
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}}
#pragma omp for simd safelen()
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp for simd safelen(,
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp for simd safelen(, )
for (i = 0; i < 16; ++i)
;
// expected-warning@+2 {{extra tokens at the end of '#pragma omp for simd' are ignored}}
// expected-error@+1 {{expected '('}}
#pragma omp for simd safelen 4)
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}}
#pragma omp for simd safelen(4
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}}
#pragma omp for simd safelen(4,
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}}
#pragma omp for simd safelen(4, )
for (i = 0; i < 16; ++i)
;
#pragma omp for simd safelen(4)
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}}
#pragma omp for simd safelen(4 4)
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}}
#pragma omp for simd safelen(4, , 4)
for (i = 0; i < 16; ++i)
;
#pragma omp for simd safelen(4)
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}}
#pragma omp for simd safelen(4, 8)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expression is not an integer constant expression}}
#pragma omp for simd safelen(2.5)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expression is not an integer constant expression}}
#pragma omp for simd safelen(foo())
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{argument to 'safelen' clause must be a positive integer value}}
#pragma omp for simd safelen(-5)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{argument to 'safelen' clause must be a positive integer value}}
#pragma omp for simd safelen(0)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{argument to 'safelen' clause must be a positive integer value}}
#pragma omp for simd safelen(5 - 5)
for (i = 0; i < 16; ++i)
;
}
void test_simdlen() {
int i;
// expected-error@+1 {{expected '('}}
#pragma omp for simd simdlen
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp for simd simdlen(
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}}
#pragma omp for simd simdlen()
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp for simd simdlen(,
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp for simd simdlen(, )
for (i = 0; i < 16; ++i)
;
// expected-warning@+2 {{extra tokens at the end of '#pragma omp for simd' are ignored}}
// expected-error@+1 {{expected '('}}
#pragma omp for simd simdlen 4)
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}}
#pragma omp for simd simdlen(4
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}}
#pragma omp for simd simdlen(4,
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}}
#pragma omp for simd simdlen(4, )
for (i = 0; i < 16; ++i)
;
#pragma omp for simd simdlen(4)
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}}
#pragma omp for simd simdlen(4 4)
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}}
#pragma omp for simd simdlen(4, , 4)
for (i = 0; i < 16; ++i)
;
#pragma omp for simd simdlen(4)
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}}
#pragma omp for simd simdlen(4, 8)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expression is not an integer constant expression}}
#pragma omp for simd simdlen(2.5)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expression is not an integer constant expression}}
#pragma omp for simd simdlen(foo())
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{argument to 'simdlen' clause must be a positive integer value}}
#pragma omp for simd simdlen(-5)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{argument to 'simdlen' clause must be a positive integer value}}
#pragma omp for simd simdlen(0)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{argument to 'simdlen' clause must be a positive integer value}}
#pragma omp for simd simdlen(5 - 5)
for (i = 0; i < 16; ++i)
;
}
void test_safelen_simdlen() {
int i;
// expected-error@+1 {{the value of 'simdlen' parameter must be less than or equal to the value of the 'safelen' parameter}}
#pragma omp for simd simdlen(6) safelen(5)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{the value of 'simdlen' parameter must be less than or equal to the value of the 'safelen' parameter}}
#pragma omp for simd safelen(5) simdlen(6)
for (i = 0; i < 16; ++i)
;
}
void test_collapse() {
int i;
#pragma omp parallel
// expected-error@+1 {{expected '('}}
#pragma omp for simd collapse
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp for simd collapse(
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected expression}}
#pragma omp for simd collapse()
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp for simd collapse(,
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp for simd collapse(, )
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-warning@+2 {{extra tokens at the end of '#pragma omp for simd' are ignored}}
// expected-error@+1 {{expected '('}}
#pragma omp for simd collapse 4)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}} expected-note@+1 {{as specified in 'collapse' clause}}
#pragma omp for simd collapse(4
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp for simd', but found only 1}}
#pragma omp parallel
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}} expected-note@+1 {{as specified in 'collapse' clause}}
#pragma omp for simd collapse(4,
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp for simd', but found only 1}}
#pragma omp parallel
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}} expected-note@+1 {{as specified in 'collapse' clause}}
#pragma omp for simd collapse(4, )
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp for simd', but found only 1}}
#pragma omp parallel
// expected-note@+1 {{as specified in 'collapse' clause}}
#pragma omp for simd collapse(4)
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp for simd', but found only 1}}
#pragma omp parallel
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}} expected-note@+1 {{as specified in 'collapse' clause}}
#pragma omp for simd collapse(4 4)
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp for simd', but found only 1}}
#pragma omp parallel
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}} expected-note@+1 {{as specified in 'collapse' clause}}
#pragma omp for simd collapse(4, , 4)
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp for simd', but found only 1}}
#pragma omp parallel
#pragma omp for simd collapse(4)
for (int i1 = 0; i1 < 16; ++i1)
for (int i2 = 0; i2 < 16; ++i2)
for (int i3 = 0; i3 < 16; ++i3)
for (int i4 = 0; i4 < 16; ++i4)
foo();
#pragma omp parallel
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}} expected-note@+1 {{as specified in 'collapse' clause}}
#pragma omp for simd collapse(4, 8)
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp for simd', but found only 1}}
#pragma omp parallel
// expected-error@+1 {{expression is not an integer constant expression}}
#pragma omp for simd collapse(2.5)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expression is not an integer constant expression}}
#pragma omp for simd collapse(foo())
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{argument to 'collapse' clause must be a positive integer value}}
#pragma omp for simd collapse(-5)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{argument to 'collapse' clause must be a positive integer value}}
#pragma omp for simd collapse(0)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{argument to 'collapse' clause must be a positive integer value}}
#pragma omp for simd collapse(5 - 5)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
#pragma omp for simd collapse(2)
for (i = 0; i < 16; ++i)
// expected-note@+1 {{variable with automatic storage duration is predetermined as private; perhaps you forget to enclose 'omp for simd' directive into a parallel or another task region?}}
for (int j = 0; j < 16; ++j)
// expected-error@+2 {{private variable cannot be reduction}}
// expected-error@+1 {{OpenMP constructs may not be nested inside a simd region}}
#pragma omp for simd reduction(+ : i, j)
for (int k = 0; k < 16; ++k)
i += j;
}
void test_linear() {
int i;
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp for simd linear(
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected expression}}
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp for simd linear(,
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected expression}}
// expected-error@+1 {{expected expression}}
#pragma omp for simd linear(, )
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}}
#pragma omp for simd linear()
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}}
#pragma omp for simd linear(int)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected variable name}}
#pragma omp for simd linear(0)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{use of undeclared identifier 'x'}}
#pragma omp for simd linear(x)
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{use of undeclared identifier 'x'}}
// expected-error@+1 {{use of undeclared identifier 'y'}}
#pragma omp for simd linear(x, y)
for (i = 0; i < 16; ++i)
;
// expected-error@+3 {{use of undeclared identifier 'x'}}
// expected-error@+2 {{use of undeclared identifier 'y'}}
// expected-error@+1 {{use of undeclared identifier 'z'}}
#pragma omp for simd linear(x, y, z)
for (i = 0; i < 16; ++i)
;
int x, y;
// expected-error@+1 {{expected expression}}
#pragma omp for simd linear(x :)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp for simd linear(x :, )
for (i = 0; i < 16; ++i)
;
#pragma omp for simd linear(x : 1)
for (i = 0; i < 16; ++i)
;
#pragma omp for simd linear(x : 2 * 2)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp for simd linear(x : 1, y)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp for simd linear(x : 1, y, z : 1)
for (i = 0; i < 16; ++i)
;
// expected-note@+2 {{defined as linear}}
// expected-error@+1 {{linear variable cannot be linear}}
#pragma omp for simd linear(x) linear(x)
for (i = 0; i < 16; ++i)
;
// expected-note@+2 {{defined as private}}
// expected-error@+1 {{private variable cannot be linear}}
#pragma omp for simd private(x) linear(x)
for (i = 0; i < 16; ++i)
;
// expected-note@+2 {{defined as linear}}
// expected-error@+1 {{linear variable cannot be private}}
#pragma omp for simd linear(x) private(x)
for (i = 0; i < 16; ++i)
;
// expected-warning@+1 {{zero linear step (x and other variables in clause should probably be const)}}
#pragma omp for simd linear(x, y : 0)
for (i = 0; i < 16; ++i)
;
// expected-note@+2 {{defined as linear}}
// expected-error@+1 {{linear variable cannot be lastprivate}}
#pragma omp for simd linear(x) lastprivate(x)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-note@+2 {{defined as lastprivate}}
// expected-error@+1 {{lastprivate variable cannot be linear}}
#pragma omp for simd lastprivate(x) linear(x)
for (i = 0; i < 16; ++i)
;
}
void test_aligned() {
int i;
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp for simd aligned(
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected expression}}
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp for simd aligned(,
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected expression}}
// expected-error@+1 {{expected expression}}
#pragma omp for simd aligned(, )
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}}
#pragma omp for simd aligned()
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}}
#pragma omp for simd aligned(int)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected variable name}}
#pragma omp for simd aligned(0)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{use of undeclared identifier 'x'}}
#pragma omp for simd aligned(x)
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{use of undeclared identifier 'x'}}
// expected-error@+1 {{use of undeclared identifier 'y'}}
#pragma omp for simd aligned(x, y)
for (i = 0; i < 16; ++i)
;
// expected-error@+3 {{use of undeclared identifier 'x'}}
// expected-error@+2 {{use of undeclared identifier 'y'}}
// expected-error@+1 {{use of undeclared identifier 'z'}}
#pragma omp for simd aligned(x, y, z)
for (i = 0; i < 16; ++i)
;
int *x, y, z[25]; // expected-note 4 {{'y' defined here}}
#pragma omp for simd aligned(x)
for (i = 0; i < 16; ++i)
;
#pragma omp for simd aligned(z)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}}
#pragma omp for simd aligned(x :)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp for simd aligned(x :, )
for (i = 0; i < 16; ++i)
;
#pragma omp for simd aligned(x : 1)
for (i = 0; i < 16; ++i)
;
#pragma omp for simd aligned(x : 2 * 2)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp for simd aligned(x : 1, y)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp for simd aligned(x : 1, y, z : 1)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{argument of aligned clause should be array or pointer, not 'int'}}
#pragma omp for simd aligned(x, y)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{argument of aligned clause should be array or pointer, not 'int'}}
#pragma omp for simd aligned(x, y, z)
for (i = 0; i < 16; ++i)
;
// expected-note@+2 {{defined as aligned}}
// expected-error@+1 {{a variable cannot appear in more than one aligned clause}}
#pragma omp for simd aligned(x) aligned(z, x)
for (i = 0; i < 16; ++i)
;
// expected-note@+3 {{defined as aligned}}
// expected-error@+2 {{a variable cannot appear in more than one aligned clause}}
// expected-error@+1 2 {{argument of aligned clause should be array or pointer, not 'int'}}
#pragma omp for simd aligned(x, y, z) aligned(y, z)
for (i = 0; i < 16; ++i)
;
}
void test_private() {
int i;
#pragma omp parallel
// expected-error@+2 {{expected expression}}
// expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp for simd private(
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+2 {{expected ')'}} expected-note@+2 {{to match this '('}}
// expected-error@+1 2 {{expected expression}}
#pragma omp for simd private(,
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 2 {{expected expression}}
#pragma omp for simd private(, )
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected expression}}
#pragma omp for simd private()
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected expression}}
#pragma omp for simd private(int)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected variable name}}
#pragma omp for simd private(0)
for (i = 0; i < 16; ++i)
;
int x, y, z;
#pragma omp parallel
#pragma omp for simd private(x)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
#pragma omp for simd private(x, y)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
#pragma omp for simd private(x, y, z)
for (i = 0; i < 16; ++i) {
x = y * i + z;
}
}
void test_lastprivate() {
int i;
#pragma omp parallel
// expected-error@+2 {{expected ')'}} expected-note@+2 {{to match this '('}}
// expected-error@+1 {{expected expression}}
#pragma omp for simd lastprivate(
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+2 {{expected ')'}} expected-note@+2 {{to match this '('}}
// expected-error@+1 2 {{expected expression}}
#pragma omp for simd lastprivate(,
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 2 {{expected expression}}
#pragma omp for simd lastprivate(, )
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected expression}}
#pragma omp for simd lastprivate()
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected expression}}
#pragma omp for simd lastprivate(int)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected variable name}}
#pragma omp for simd lastprivate(0)
for (i = 0; i < 16; ++i)
;
int x, y, z;
#pragma omp parallel
#pragma omp for simd lastprivate(x)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
#pragma omp for simd lastprivate(x, y)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
#pragma omp for simd lastprivate(x, y, z)
for (i = 0; i < 16; ++i)
;
}
void test_firstprivate() {
int i;
#pragma omp parallel
// expected-error@+2 {{expected ')'}} expected-note@+2 {{to match this '('}}
// expected-error@+1 {{expected expression}}
#pragma omp for simd firstprivate(
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+2 {{expected ')'}} expected-note@+2 {{to match this '('}}
// expected-error@+1 2 {{expected expression}}
#pragma omp for simd firstprivate(,
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 2 {{expected expression}}
#pragma omp for simd firstprivate(, )
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected expression}}
#pragma omp for simd firstprivate()
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected expression}}
#pragma omp for simd firstprivate(int)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected variable name}}
#pragma omp for simd firstprivate(0)
for (i = 0; i < 16; ++i)
;
int x, y, z;
#pragma omp parallel
#pragma omp for simd lastprivate(x) firstprivate(x)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
#pragma omp for simd lastprivate(x, y) firstprivate(x, y)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
#pragma omp for simd lastprivate(x, y, z) firstprivate(x, y, z)
for (i = 0; i < 16; ++i)
;
}
void test_loop_messages() {
float a[100], b[100], c[100];
#pragma omp parallel
// expected-error@+2 {{variable must be of integer or pointer type}}
#pragma omp for simd
for (float fi = 0; fi < 10.0; fi++) {
c[(int)fi] = a[(int)fi] + b[(int)fi];
}
#pragma omp parallel
// expected-error@+2 {{variable must be of integer or pointer type}}
#pragma omp for simd
for (double fi = 0; fi < 10.0; fi++) {
c[(int)fi] = a[(int)fi] + b[(int)fi];
}
}
|
omp_sort.h | #ifndef OMP_SORT_PP_CLASS_H
#define OMP_SORT_PP_CLASS_H
#include <stdio.h>
#include <stdlib.h>
#include <malloc.h>
#include <omp.h>
#include <math.h>
#define MAX(A, B) (((A) > (B)) ? (A) : (B))
#define MIN(A, B) (((A) > (B)) ? (B) : (A))
#define UP 0
#define DOWN 1
#define VERBOSE 0
int omp_bubble_sort(int *A,int n);
int omp_odd_even_sort(int *A, int n);
int omp_rank_sort(int *A, int n);
int omp_counting_sort(int *x, int n);
int swap(int *a, int *b);
int bitonic_sort_seq(int start, int length, int *A, int flag);
int bitonic_sort_par(int start, int length, int *A, int flag,int m);
int bitonic(int *A,int n);
static int CmpInt(const void *a, const void *b);
void merge(int A[], int B[], int m, int n);
void arraymerge(int *a, int size, int *index, int N);
int QuickSort(int *a,int size);
int RadixSort(int *input, int n);
void Mergesort(int *x, int a, int b);
void mix_them(int *x, int n, int h, int num_threads);
void mix(int *x, int a1, int b1, int a2, int b2);
int Mergesort_Omp(int *x, int n);
// Bubble sort -------------------------------------------------------------------
int omp_bubble_sort(int *A,int n){
int n_pros=omp_get_num_threads();
int chunk=n/n_pros,bandera=1,nr=0,i,j;
int aux;
while(bandera){
nr++;
bandera = 0;
#pragma omp parallel for reduction(+:bandera) private(aux)
for(j=0;j<n_pros;j++){
for(i=j;i<n-1;i=i+n_pros){
if(A[i] > A[i+1] ){
aux = A[i];
A[i] = A[i+1];
A[i+1] = aux;
++bandera;
}
}
}
}
return 0;
}
// end bubble sort -------------------------------------------------------------------
// odd even transposition sort -------------------------------------------------------------------
int omp_odd_even_sort(int *A, int n) {
int sorted, i, start;
sorted = 1;
while(sorted != 0) {
#pragma omp parallel
{
sorted = 0;
#pragma omp for reduction(+:sorted)
for(i=0; i<n-1; i+=2) {
if(A[i] > A[i+1]) {
int temp = A[i];
A[i] = A[i+1];
A[i+1] = temp;
sorted++;
}
}
#pragma omp for reduction(+:sorted)
for(i=1; i<n-1; i+=2) {
if(A[i] > A[i+1]) {
int temp = A[i];
A[i] = A[i+1];
A[i+1] = temp;
sorted++;
}
}
}
}
return 0;
}
// end odd even transposition sort -------------------------------------------------------------------
// rank sort -------------------------------------------------------------------
int omp_rank_sort(int *A, int n) {
int i;
int *y;
y = (int *)calloc(n,sizeof(int));
#pragma omp parallel
{
int threads = omp_get_num_threads();
int rank,i,j,startval,endval,my_num,my_place;
rank = omp_get_thread_num( );
startval = n*rank/threads;
endval = n*(rank+1)/threads;
//printf(" %d %d\n",startval, endval);
for (j=startval; j<endval; j++) {
my_num = A[j];
my_place = 0;
for (i=0; i<n; i++) {
if ( my_num > A[i] )
my_place++;
}
y[my_place] = my_num;
}
}
int k;
for(k=0; k<n; k++) {
if(y[k] == 0)
A[k] = A[k-1];
else
A[k] = y[k];
}
free(y);
return 0;
}
//end rank sort -------------------------------------------------------------------
// counting sort -------------------------------------------------------------------
int omp_counting_sort(int *A, int n)
{
//Enteros en [1,m] y variables
int m = 1001, i;
int *c = (int*) calloc (m, sizeof(int));
int *b = (int*) calloc (n, sizeof(int));
//printf("1\n");
//Copiando x en b ( solo aki se paraleliza XD )
#pragma omp parallel for private(i) shared(A,b)
for ( i = 0; i < n; i++ ) {
b[i] = A[i];
}
//printf("2\n");
//Contando
for ( i = 0; i < n; i++ ) {
//printf("%d ", b[i]);
c[b[i]-1]++;
}
//printf("3\n");
//Suma prefija
for ( i = 1; i < m; i++ )
c[i] += c[i-1];
//printf("4\n");
//Ordenando
for ( i = 0; i < n; i++ )
{
A[c[b[i]-1]-1] = b[i];
c[b[i]-1]--;
}
//printf("5\n");
//Liberando arreglos auxiliares
free(c);
free(b);
return 0;
}
// end counting sort -------------------------------------------------------------------
// bitonic sort -------------------------------------------------------------------
int swap(int *a, int *b){
int temp;
temp = *a;
*a = *b;
*b = temp;
return 0;
}
int bitonic_sort_seq(int start, int length, int *A, int flag) {
int i;
int split_length;
if (length == 1)
return 1;
if (length % 2 !=0 ) {
printf("error\n");
exit(0);
}
split_length = length / 2;
// bitonic split
for (i = start; i < start + split_length; i++) {
if (flag == UP) {
if (A[i] > A[i + split_length])
swap(&A[i], &A[i + split_length]);
}else{
if (A[i] < A[i + split_length])
swap(&A[i], &A[i + split_length]);
}
}
bitonic_sort_seq(start, split_length, A, flag);
bitonic_sort_seq(start + split_length, split_length, A, flag);
return 0;
}
int bitonic_sort_par(int start, int length, int *A, int flag,int m){
int i;
int split_length;
if (length==1){
return 0;
}
// la longitud de la subsecuencia debe ser potencia de 2
if(length%2!=0){
exit(0);
}
split_length = length / 2;
// bitonic split
#pragma omp parallel for shared(A, flag, start, split_length) private(i)
for(i=start;i<start+split_length;i++){
if(flag==UP){
if(A[i]>A[i+split_length])
swap(&A[i], &A[i + split_length]);
}else{
if(A[i]<A[i+split_length])
swap(&A[i], &A[i + split_length]);
}
}
if(split_length>m){
bitonic_sort_par(start,split_length,A,flag,m);
bitonic_sort_par(start+split_length,split_length,A,flag,m);
}
return 0;
}
/** \brief Bitonic Sort. Algoritmo de ordenamiento para conjuntos de datos cuya longitus es potencia de 2.
*/
int bitonic(int *A,int n){
int m;
int i,j;
int flag;
int num_threads;
//Numero de hilos con los que se esta trabajando
num_threads = omp_get_num_threads();
//n debe ser almenos mayor que el doble de procesadores
if ( n < num_threads * 2 ){
return 1;
}
// particionando
m=n/num_threads;
//Primer parte del bitonic donde particionamos
for (i = 2; i <= m; i = 2 * i) {
#pragma omp parallel for shared(i, A) private(j, flag)
for (j = 0; j < n; j += i) {
if ((j / i) % 2 == 0)
flag = UP;
else
flag = DOWN;
bitonic_sort_seq(j,i,A,flag);
}
}
// Segunda parte del bitonic
for (i = 2; i <= num_threads; i = 2 * i) {
for (j = 0; j < num_threads; j += i) {
if ((j / i) % 2 == 0)
flag = UP;
else
flag = DOWN;
bitonic_sort_par(j*m, i*m, A, flag,m);
}
#pragma omp parallel for shared(j)
for (j = 0; j < num_threads; j++) {
if (j < i)
flag = UP;
else
flag = DOWN;
bitonic_sort_seq(j*m, m, A, flag);
}
}
return 0;
}
// end bitonic sort -------------------------------------------------------------------
// quick sort -------------------------------------------------------------------
static int CmpInt(const void *a, const void *b)
{
return ( *(int*)a - *(int*)b );
}
/* Merge sorted lists A and B into list A. A must have dim >= m+n */
void merge(int A[], int B[], int m, int n)
{
int i=0, j=0, k=0, p;
int size = m+n;
int *C = (int *)malloc(size*sizeof(int));
while (i < m && j < n) {
if (A[i] <= B[j]) C[k] = A[i++];
else C[k] = B[j++];
k++;
}
if (i < m) for (p = i; p < m; p++,k++) C[k] = A[p];
else for (p = j; p < n; p++,k++) C[k] = B[p];
for( i=0; i<size; i++ ) A[i] = C[i];
free(C);
}
/* Merges N sorted sub-sections of array a into final, fully sorted array a */
void arraymerge(int *a, int size, int *index, int N)
{
int i,j;
while ( N>1 ) {
for( i=0; i<N; i++ ) index[i]=i*size/N; index[N]=size;
#pragma omp parallel for private(i)
for( i=0; i<N; i+=2 ) {
if( VERBOSE ) fprintf(stderr,"merging %d and %d, index %d and %d (up to %d)\n",i,i+1,index[i],index[i+1],index[i+2]);
merge(a+index[i],a+index[i+1],index[i+1]-index[i],index[i+2]-index[i+1]);
if( VERBOSE ) for(j=0; j<size; j++) fprintf(stderr,"after: %d %d\n",j,a[j]);
}
N /= 2;
}
}
int QuickSort(int *a,int size)
{
// set up threads
int i = 0;
int threads = omp_get_max_threads();
omp_set_num_threads(threads);
int *index = (int *)malloc((threads+1)*sizeof(int));
for(i=0; i<threads; i++) index[i]=i*size/threads; index[threads]=size;
/* Main parallel sort loop */
#pragma omp parallel for private(i)
for(i=0; i<threads; i++) qsort(a+index[i],index[i+1]-index[i],sizeof(int),CmpInt);
/* Merge sorted array pieces */
if( threads>1 ) arraymerge(a,size,index,threads);
return 0;
}
// end quick sort -------------------------------------------------------------------
// radix sort
int RadixSort(int *input, int n){
int d = 1001; //highest-order digit
int b = 10, k=d;////
int *temp = (int*)malloc (k * sizeof(int)); //used in counting sort
int *input2 = (int*)malloc(sizeof(int)*n);
int *output = (int*)malloc(sizeof(int)*n);
int power = ((int) pow(2,b) - 1);
int l;
int t = omp_get_num_threads();
//omp_set_num_threads(t);
//main loop
for (l = 0; l < 32/b; l++){
int slice = l*b;
int i,j;
if (slice <=d){
#pragma omp parallel
{
#pragma omp for schedule(guided) private(i)
for (i = 0; i < n; i++)
input2[i] = (input[i] >> slice) & power;
#pragma omp for schedule(guided) private(i)
for (i = 0; i < k; i++)
temp[i] = 0;
#pragma omp for schedule(guided) private(j)
for (j = 0; j < n;j++)
#pragma omp atomic
temp[input2[j]]++;
#pragma omp for ordered schedule(guided) private(i)
for (i = 1; i < k; i++)
#pragma omp ordered
temp[i] += temp[i - 1];
}
for (j = n -1; j>=0; j--){
output[temp[input2[j] ] - 1] = input[j];
temp[input2[j]]--;
}
#pragma omp parallel for schedule(guided) private(j)
for (j = 0; j <n; j++)
input[j] = output[j];
}
}
}
//end radix sort -------------------------------------------------------------------
//merge sort -------------------------------------------------------------------
//Funcion para mezclar 2 subvectores ordenados contiguos
void mix(int *x, int a1, int b1, int a2, int b2)
{
//Obteniendo numero de eltos en cada subvector
int n1 = b1 - a1 + 1;
int n2 = b2 - a2 + 1;
//Creando copias de subvectores
int *x1 = (int*) calloc (n1, sizeof(int));
int *x2 = (int*) calloc (n2, sizeof(int));
//Copiando subvectores
int i, i1 = 0, i2 = 0;
for ( i = 0; i < n1; i++ )
x1[i] = x[a1+i];
for ( i = 0; i < n2; i++ )
x2[i] = x[a2+i];
//Limpiando iterador
i = a1;
//Iterando sobre el rango de ambos subvectores
while ( i1 < n1 && i2 < n2 )
{
//Determinando el elto menor, copiandolo al
//buffer y recorriendo su apuntador
if ( x1[i1] < x2[i2] )
{
x[i] = x1[i1];
i1++;
}
else
{
x[i] = x2[i2];
i2++;
}
//Incrementando indice de x
i++;
}//Fin de while sobre ambos subvectores
//Terminando el subvector 1 si aun no termina
while ( i1 < n1 )
{
//Actualizando valor y recorriendo indices
x[i] = x1[i1];
i++;
i1++;
}
//Terminando el subvector 2 si aun no termina
while ( i2 < n2 )
{
//Actualizando valor y recorriendo indices
x[i] = x2[i2];
i++;
i2++;
}
//Liberando memoria
free(x1);
free(x2);
}
//Mergesort de un subvector en los indices [a,b]
void Mergesort(int *x, int a, int b)
{
//Indices de subvectores
int a1, a2, b1, b2;
//Numero de eltos
int n = b - a + 1;
//Evitando el caso trivial
if ( n > 1 )
{
a1 = a;
b1 = a1 + floor(1.0*n / 2)-1;
a2 = b1+1;
b2 = b;
//Ordenando subarreglos recursivamente
Mergesort(x, a1, b1);
Mergesort(x, a2, b2);
//Mezclando subarreglos ordenados
mix(x, a1, b1, a2, b2);
}//Fin de caso no trivial
}
//Funcion para mezclar los subvectores usados en Mergesort_Omp
//El fin de esta funcion es decidir un orden adecuado para
//mezclar los subvectores ordenados por los threads utilizados
//en la funcion Mergesort_Omp.
//h es el numero de eltos a ordenar en cada thread:
//h = n/num_threads
void mix_them(int *x, int n, int h, int num_threads)
{
//variables de limites de subvectores
int a1, b1, a2, b2;
//Actuando acorde al numero de threads
switch (num_threads)
{
//No mezcla nada
case 1:
break;
case 2:
{
//calculando limites
a1 = 0; b1 = h-1;
a2 = b1+1; b2 = n-1;
//mezclando
mix(x, a1, b1, a2, b2);
//Fin para 2 threads
break;
}
case 3:
{
//calculando limites de subvectores 1 y 2
a1 = 0; b1 = h-1;
a2 = b1+1; b2 = a2+h-1;
//mezclando subvectores 1 y 2 = subvector @
mix(x, a1, b1, a2, b2);
//calculando limites de subvectores @ y 3
b1 = b2;
a2 = b1+1; b2 = n-1;
//mezclando subvectores @ y 3
mix(x, a1, b1, a2, b2);
//Fin para 3 threads
break;
}
case 4:
{
//calculando limites de subvectores 1 y 2
a1 = 0; b1 = h-1;
a2 = b1+1; b2 = a2+h-1;
//mezclando subvectores 1 y 2 = subvector @
mix(x, a1, b1, a2, b2);
//calculando limites de subvectores 3 y 4
a1 = b2+1; b1 = a1+h-1;
a2 = b1+1; b2 = n-1;
//mezclando subvectores 3 y 4 = subvector $
mix(x, a1, b1, a2, b2);
//calculando limites de subvectores @ y $
b1 = a1-1; a1 = 0;
a2 = b1+1; b2 = n-1;
//mezclando subvectores @ y $
mix(x, a1, b1, a2, b2);
//Fin para 4 threads
break;
}
case 5:
{
//calculando limites de subvectores 1 y 2
a1 = 0; b1 = h-1;
a2 = b1+1; b2 = a2+h-1;
//mezclando subvectores 1 y 2 = subvector @
mix(x, a1, b1, a2, b2);
//calculando limites de subvectores @ y 3
a1 = 0; b1 = b2;
a2 = b1+1; b2 = a2+h-1;
//mezclando subvectores @ y 3 = subvector $
mix(x, a1, b1, a2, b2);
//calculando limites de subvectores 4 y 5
a1 = b2+1; b1 = a1+h-1;
a2 = b1+1; b2 = n-1;
//mezclando subvectores 4 y 5 = subvector %
mix(x, a1, b1, a2, b2);
//calculando limites de subvectores $ y %
b1 = a1-1; a1 = 0;
a2 = b1+1; b2 = n-1;
//mezclando subvectores $ y %
mix(x, a1, b1, a2, b2);
//Fin para 5 threads
break;
}
case 6:
{
//calculando limites de subvectores 1 y 2
a1 = 0; b1 = h-1;
a2 = b1+1; b2 = a2+h-1;
//mezclando subvectores 1 y 2 = subvector @
mix(x, a1, b1, a2, b2);
//calculando limites de subvectores 3 y 4
a1 = b2+1; b1 = a1+h-1;
a2 = b1+1; b2 = a2+h-1;
//mezclando subvectores 3 y 4 = subvector $
mix(x, a1, b1, a2, b2);
//calculando limites de subvectores 5 y 6
a1 = b2+1; b1 = a1+h-1;
a2 = b1+1; b2 = n-1;
//mezclando subvectores 5 y 6 = subvector &
mix(x, a1, b1, a2, b2);
//calculando limites de subvectores @ y $
a1 = 0; b1 = 2*h-1;
a2 = b1+1; b2 = a2+2*h-1;
//mezclando subvectores @ y $ = subvector %
mix(x, a1, b1, a2, b2);
//calculando limites de subvectores % y &
a1 = 0; b1 = b2;
a2 = b1+1; b2 = n-1;
//mezclando subvectores % y &
mix(x, a1, b1, a2, b2);
//Fin para 6 threads
break;
}
case 7:
{
//calculando limites de subvectores 1 y 2
a1 = 0; b1 = h-1;
a2 = b1+1; b2 = a2+h-1;
//mezclando subvectores 1 y 2 = subvector @
mix(x, a1, b1, a2, b2);
//calculando limites de subvectores 3 y 4
a1 = b2+1; b1 = a1+h-1;
a2 = b1+1; b2 = a2+h-1;
//mezclando subvectores 3 y 4 = subvector $
mix(x, a1, b1, a2, b2);
//calculando limites de subvectores 5 y 6
a1 = b2+1; b1 = a1+h-1;
a2 = b1+1; b2 = a2+h-1;
//mezclando subvectores 5 y 6 = subvector &
mix(x, a1, b1, a2, b2);
//calculando limites de subvectores @ y $
a1 = 0; b1 = 2*h-1;
a2 = b1+1; b2 = a2+2*h-1;
//mezclando subvectores @ y $ = subvector %
mix(x, a1, b1, a2, b2);
//calculando limites de subvectores & y 7
a1 = b2+1; b1 = a1+2*h-1;
a2 = b1+1; b2 = n-1;
//mezclando subvectores @ y $ = subvector #
mix(x, a1, b1, a2, b2);
//calculando limites de subvectores % y #
a1 = 0; b1 = 4*h-1;
a2 = b1+1; b2 = n-1;
//mezclando subvectores % y #
mix(x, a1, b1, a2, b2);
//Fin para 7 threads
break;
}
case 8:
{
//calculando limites de subvectores 1 y 2
a1 = 0; b1 = h-1;
a2 = b1+1; b2 = a2+h-1;
//mezclando subvectores 1 y 2 = subvector @
mix(x, a1, b1, a2, b2);
//calculando limites de subvectores 3 y 4
a1 = b2+1; b1 = a1+h-1;
a2 = b1+1; b2 = a2+h-1;
//mezclando subvectores 3 y 4 = subvector $
mix(x, a1, b1, a2, b2);
//calculando limites de subvectores 5 y 6
a1 = b2+1; b1 = a1+h-1;
a2 = b1+1; b2 = a2+h-1;
//mezclando subvectores 5 y 6 = subvector &
mix(x, a1, b1, a2, b2);
//calculando limites de subvectores 7 y 8
a1 = b2+1; b1 = a1+h-1;
a2 = b1+1; b2 = n-1;
//mezclando subvectores 7 y 8 = subvector #
mix(x, a1, b1, a2, b2);
//calculando limites de subvectores @ y $
a1 = 0; b1 = 2*h-1;
a2 = b1+1; b2 = a2+2*h-1;
//mezclando subvectores @ y $ = subvector %
mix(x, a1, b1, a2, b2);
//calculando limites de subvectores & y #
a1 = b2+1; b1 = a1+2*h-1;
a2 = b1+1; b2 = n-1;
//mezclando subvectores & y # = subvector ~
mix(x, a1, b1, a2, b2);
//calculando limites de subvectores % y ~
a1 = 0; b1 = 4*h-1;
a2 = b1+1; b2 = n-1;
//mezclando subvectores % y ~
mix(x, a1, b1, a2, b2);
//Fin para 8 threads
break;
}
default:
{
}
}
}
//Mergesort con openmp
int Mergesort_Omp(int *x, int n)
{
//Obteniendo numero de threads
int num_threads = omp_get_max_threads(), i;
//Obteniendo # de eltos a ordenar por cada thread
int h = n/num_threads;
//Indices del arreglo original de inicio y final de cada thread
int *I_start = (int*) calloc (num_threads, sizeof(int));
int *I_end = (int*) calloc (num_threads, sizeof(int));
//Llenando el indice de arreglos. Lo llenamos de esta manera para
//q el ultimo indice de final sea n-1
for ( i = 0; i < num_threads-1; i++ )
{
I_start[i] = i*h;
I_end[i] = I_start[i]+h-1;
}
I_start[i] = i*h;
I_end[i] = n-1;
//Ordenando los num_threads subarreglos
#pragma omp parallel for
for ( i = 0; i < num_threads; i++ )
{
//Obteniendo numero de thread
int my_rank = omp_get_thread_num();
//Ordenando su segmento
Mergesort(x, I_start[my_rank], I_end[my_rank]);
}
//Ordenando los subarreglos entre si
mix_them(x, n, h, num_threads);
//Liberando memoria
free(I_start);
free(I_end);
return 0;
}
//end merge sort -------------------------------------------------------------------
int N_OMP_SORT_FUNCS=8;
typedef int (*omp_f) (int*,int);
omp_f omp_funcs[] = {&omp_bubble_sort, &omp_odd_even_sort, &QuickSort, &RadixSort, &Mergesort_Omp,&bitonic, &omp_rank_sort, &omp_counting_sort};
char *omp_funcs_names[] = {"omp_bubble_sort", "omp_odd_even_sort", "QuickSort", "RadixSort", "Mergesort_Omp", "bitonic", "omp_rank_sort", "omp_counting_sort"};
#endif
|
da0df93c40c9ef3d91610abeca5d1b42b891ec74.c | #define _POSIX_C_SOURCE 200809L
#include "stdlib.h"
#include "math.h"
#include "sys/time.h"
#include "omp.h"
struct dataobj
{
void *restrict data;
int * size;
int * npsize;
int * dsize;
int * hsize;
int * hofs;
int * oofs;
} ;
struct profiler
{
double section0;
} ;
int initdamp(struct dataobj *restrict damp_vec, const float h_x, const float h_y, const float h_z, const int x_M, const int x_m, const int y_M, const int y_m, const int z_M, const int z_m, const int abc_x_l_ltkn, const int abc_x_r_rtkn, const int abc_y_l_ltkn, const int abc_y_r_rtkn, const int abc_z_l_ltkn, const int abc_z_r_rtkn, struct profiler * timers)
{
float (*restrict damp)[damp_vec->size[1]][damp_vec->size[2]] __attribute__ ((aligned (64))) = (float (*)[damp_vec->size[1]][damp_vec->size[2]]) damp_vec->data;
#pragma omp target enter data map(to: damp[0:damp_vec->size[0]][0:damp_vec->size[1]][0:damp_vec->size[2]])
struct timeval start_section0, end_section0;
gettimeofday(&start_section0, NULL);
/* Begin section0 */
#pragma omp target teams distribute parallel for collapse(3)
for (int abc_x_l = x_m; abc_x_l <= abc_x_l_ltkn + x_m - 1; abc_x_l += 1)
{
for (int y = y_m; y <= y_M; y += 1)
{
for (int z = z_m; z <= z_M; z += 1)
{
damp[abc_x_l + 1][y + 1][z + 1] += (-1.64910509747871e-1F*sin(6.28318530717959F*fabs(1.0e-1F*x_m - 1.0e-1F*abc_x_l + 1.1F)) + 1.03616329184732F*fabs(1.0e-1F*x_m - 1.0e-1F*abc_x_l + 1.1F))/h_x;
}
}
}
#pragma omp target teams distribute parallel for collapse(3)
for (int abc_x_r = -abc_x_r_rtkn + x_M + 1; abc_x_r <= x_M; abc_x_r += 1)
{
for (int y = y_m; y <= y_M; y += 1)
{
for (int z = z_m; z <= z_M; z += 1)
{
damp[abc_x_r + 1][y + 1][z + 1] += (-1.64910509747871e-1F*sin(6.28318530717959F*fabs(-1.0e-1F*x_M + 1.0e-1F*abc_x_r + 1.1F)) + 1.03616329184732F*fabs(-1.0e-1F*x_M + 1.0e-1F*abc_x_r + 1.1F))/h_x;
}
}
}
#pragma omp target teams distribute parallel for collapse(1)
for (int x = x_m; x <= x_M; x += 1)
{
for (int abc_y_l = y_m; abc_y_l <= abc_y_l_ltkn + y_m - 1; abc_y_l += 1)
{
for (int z = z_m; z <= z_M; z += 1)
{
damp[x + 1][abc_y_l + 1][z + 1] += (-1.64910509747871e-1F*sin(6.28318530717959F*fabs(1.0e-1F*y_m - 1.0e-1F*abc_y_l + 1.1F)) + 1.03616329184732F*fabs(1.0e-1F*y_m - 1.0e-1F*abc_y_l + 1.1F))/h_y;
}
}
for (int abc_y_r = -abc_y_r_rtkn + y_M + 1; abc_y_r <= y_M; abc_y_r += 1)
{
for (int z = z_m; z <= z_M; z += 1)
{
damp[x + 1][abc_y_r + 1][z + 1] += (-1.64910509747871e-1F*sin(6.28318530717959F*fabs(-1.0e-1F*y_M + 1.0e-1F*abc_y_r + 1.1F)) + 1.03616329184732F*fabs(-1.0e-1F*y_M + 1.0e-1F*abc_y_r + 1.1F))/h_y;
}
}
for (int y = y_m; y <= y_M; y += 1)
{
for (int abc_z_l = z_m; abc_z_l <= abc_z_l_ltkn + z_m - 1; abc_z_l += 1)
{
damp[x + 1][y + 1][abc_z_l + 1] += (-1.64910509747871e-1F*sin(6.28318530717959F*fabs(1.0e-1F*z_m - 1.0e-1F*abc_z_l + 1.1F)) + 1.03616329184732F*fabs(1.0e-1F*z_m - 1.0e-1F*abc_z_l + 1.1F))/h_z;
}
for (int abc_z_r = -abc_z_r_rtkn + z_M + 1; abc_z_r <= z_M; abc_z_r += 1)
{
damp[x + 1][y + 1][abc_z_r + 1] += (-1.64910509747871e-1F*sin(6.28318530717959F*fabs(-1.0e-1F*z_M + 1.0e-1F*abc_z_r + 1.1F)) + 1.03616329184732F*fabs(-1.0e-1F*z_M + 1.0e-1F*abc_z_r + 1.1F))/h_z;
}
}
}
/* End section0 */
gettimeofday(&end_section0, NULL);
timers->section0 += (double)(end_section0.tv_sec-start_section0.tv_sec)+(double)(end_section0.tv_usec-start_section0.tv_usec)/1000000;
#pragma omp target update from(damp[0:damp_vec->size[0]][0:damp_vec->size[1]][0:damp_vec->size[2]])
#pragma omp target exit data map(release: damp[0:damp_vec->size[0]][0:damp_vec->size[1]][0:damp_vec->size[2]])
return 0;
}
|
config.h | /* config.h. Generated from config.in by configure. */
/* config.in. Generated from configure.ac by autoheader. */
/* Check that config.h is #included before system headers
(this works only for glibc, but that should be enough). */
#if defined(__GLIBC__) && !defined(__FreeBSD_kernel__) && !defined(__CONFIG_H__)
# error config.h must be #included before system headers
#endif
#define __CONFIG_H__ 1
/* Define if building universal (internal helper macro) */
/* #undef AC_APPLE_UNIVERSAL_BUILD */
/* Define to 1 if translation of program messages to the user's native
language is requested. */
/* #undef ENABLE_NLS */
/* Define to enable linker plugins */
#define ENABLE_PLUGINS 1
/* Define to do multi-threaded linking */
/* #undef ENABLE_THREADS */
/* Default big endian (true or false) */
#define GOLD_DEFAULT_BIG_ENDIAN false
/* Default machine code */
#define GOLD_DEFAULT_MACHINE EM_X86_64
/* Default OSABI code */
#define GOLD_DEFAULT_OSABI ELFOSABI_NONE
/* Default size (32 or 64) */
#define GOLD_DEFAULT_SIZE 64
/* Define to 1 if you have the <byteswap.h> header file. */
/* #undef HAVE_BYTESWAP_H */
/* Define to 1 if you have the `chsize' function. */
/* #undef HAVE_CHSIZE */
/* Define to 1 if you have the declaration of `asprintf', and to 0 if you
don't. */
#define HAVE_DECL_ASPRINTF 1
/* Define to 1 if you have the declaration of `basename', and to 0 if you
don't. */
#define HAVE_DECL_BASENAME 0
/* Define to 1 if you have the declaration of `ffs', and to 0 if you don't. */
#define HAVE_DECL_FFS 1
/* Define to 1 if you have the declaration of `memmem', and to 0 if you don't.
*/
#define HAVE_DECL_MEMMEM 1
/* Define to 1 if you have the declaration of `snprintf', and to 0 if you
don't. */
#define HAVE_DECL_SNPRINTF 1
/* Define to 1 if you have the declaration of `strndup', and to 0 if you
don't. */
#define HAVE_DECL_STRNDUP 1
/* Define to 1 if you have the declaration of `strverscmp', and to 0 if you
don't. */
#define HAVE_DECL_STRVERSCMP 0
/* Define to 1 if you have the declaration of `vasprintf', and to 0 if you
don't. */
#define HAVE_DECL_VASPRINTF 1
/* Define to 1 if you have the declaration of `vsnprintf', and to 0 if you
don't. */
#define HAVE_DECL_VSNPRINTF 1
/* Define to 1 if you have the <dlfcn.h> header file. */
#define HAVE_DLFCN_H 1
/* Define to 1 if you have the <ext/hash_map> header file. */
#define HAVE_EXT_HASH_MAP 1
/* Define to 1 if you have the <ext/hash_set> header file. */
#define HAVE_EXT_HASH_SET 1
/* Define to 1 if you have the `fallocate' function. */
/* #undef HAVE_FALLOCATE */
/* Define to 1 if you have the `ffsll' function. */
#define HAVE_FFSLL 1
/* Define to 1 if you have the `ftruncate' function. */
#define HAVE_FTRUNCATE 1
/* Define to 1 if you have the <inttypes.h> header file. */
#define HAVE_INTTYPES_H 1
/* Define if your <locale.h> file defines LC_MESSAGES. */
#define HAVE_LC_MESSAGES 1
/* Define to 1 if you have the <locale.h> header file. */
#define HAVE_LOCALE_H 1
/* Define to 1 if you have the `mallinfo' function. */
/* #undef HAVE_MALLINFO */
/* Define to 1 if you have the <memory.h> header file. */
#define HAVE_MEMORY_H 1
/* Define to 1 if you have the `mmap' function. */
#define HAVE_MMAP 1
/* Define to 1 if you have the mremap function with MREMAP_MAYMOVE support */
/* #undef HAVE_MREMAP */
/* Define if compiler supports #pragma omp threadprivate */
#define HAVE_OMP_SUPPORT 1
/* Define to 1 if you have the `posix_fallocate' function. */
/* #undef HAVE_POSIX_FALLOCATE */
/* Define to 1 if you have the `pread' function. */
#define HAVE_PREAD 1
/* Define to 1 if you have the `readv' function. */
#define HAVE_READV 1
/* Define to 1 if you have the `setlocale' function. */
#define HAVE_SETLOCALE 1
/* Define if struct stat has a field st_mtim with timespec for mtime */
#define HAVE_STAT_ST_MTIM 1
/* Define to 1 if you have the <stdint.h> header file. */
#define HAVE_STDINT_H 1
/* Define to 1 if you have the <stdlib.h> header file. */
#define HAVE_STDLIB_H 1
/* Define to 1 if you have the <strings.h> header file. */
#define HAVE_STRINGS_H 1
/* Define to 1 if you have the <string.h> header file. */
#define HAVE_STRING_H 1
/* Define to 1 if you have the `sysconf' function. */
#define HAVE_SYSCONF 1
/* Define to 1 if you have the <sys/mman.h> header file. */
#define HAVE_SYS_MMAN_H 1
/* Define to 1 if you have the <sys/stat.h> header file. */
#define HAVE_SYS_STAT_H 1
/* Define to 1 if you have the <sys/types.h> header file. */
#define HAVE_SYS_TYPES_H 1
/* Define to support 32-bit big-endian targets */
#define HAVE_TARGET_32_BIG 1
/* Define to support 32-bit little-endian targets */
#define HAVE_TARGET_32_LITTLE 1
/* Define to support 64-bit big-endian targets */
#define HAVE_TARGET_64_BIG 1
/* Define to support 64-bit little-endian targets */
#define HAVE_TARGET_64_LITTLE 1
/* Define if attributes work on C++ templates */
#define HAVE_TEMPLATE_ATTRIBUTES 1
/* Define to 1 if you have the `times' function. */
#define HAVE_TIMES 1
/* Define if std::tr1::hash<off_t> is usable */
#define HAVE_TR1_HASH_OFF_T 1
/* Define to 1 if you have the <tr1/unordered_map> header file. */
#define HAVE_TR1_UNORDERED_MAP 1
/* Define if ::std::tr1::unordered_map::rehash is usable */
#define HAVE_TR1_UNORDERED_MAP_REHASH 1
/* Define to 1 if you have the <tr1/unordered_set> header file. */
#define HAVE_TR1_UNORDERED_SET 1
/* Define to 1 if you have the <unistd.h> header file. */
#define HAVE_UNISTD_H 1
/* Define to 1 if you have the <unordered_map> header file. */
/* #undef HAVE_UNORDERED_MAP */
/* Define to 1 if you have the <unordered_set> header file. */
/* #undef HAVE_UNORDERED_SET */
/* Define to 1 if you have the <windows.h> header file. */
/* #undef HAVE_WINDOWS_H */
/* Define to 1 if you have the <zlib.h> header file. */
#define HAVE_ZLIB_H 1
/* Default library search path */
#define LIB_PATH "/lib:/usr/lib"
/* Whether configured as a native linker */
#define NATIVE_LINKER 1
/* Name of package */
#define PACKAGE "gold"
/* Define to the address where bug reports for this package should be sent. */
#define PACKAGE_BUGREPORT ""
/* Define to the full name of this package. */
#define PACKAGE_NAME "gold"
/* Define to the full name and version of this package. */
#define PACKAGE_STRING "gold 0.1"
/* Define to the one symbol short name of this package. */
#define PACKAGE_TARNAME "gold"
/* Define to the home page for this package. */
#define PACKAGE_URL ""
/* Define to the version of this package. */
#define PACKAGE_VERSION "0.1"
/* Define to 1 if you have the ANSI C header files. */
#define STDC_HEADERS 1
/* System root for target files */
#define TARGET_SYSTEM_ROOT "/"
/* Whether the system root can be relocated */
#define TARGET_SYSTEM_ROOT_RELOCATABLE 0
/* Enable extensions on AIX 3, Interix. */
#ifndef _ALL_SOURCE
# define _ALL_SOURCE 1
#endif
/* Enable GNU extensions on systems that have them. */
#ifndef _GNU_SOURCE
# define _GNU_SOURCE 1
#endif
/* Enable threading extensions on Solaris. */
#ifndef _POSIX_PTHREAD_SEMANTICS
# define _POSIX_PTHREAD_SEMANTICS 1
#endif
/* Enable extensions on HP NonStop. */
#ifndef _TANDEM_SOURCE
# define _TANDEM_SOURCE 1
#endif
/* Enable general extensions on Solaris. */
#ifndef __EXTENSIONS__
# define __EXTENSIONS__ 1
#endif
/* Version number of package */
#define VERSION "0.1"
/* Define WORDS_BIGENDIAN to 1 if your processor stores words with the most
significant byte first (like Motorola and SPARC, unlike Intel). */
#if defined AC_APPLE_UNIVERSAL_BUILD
# if defined __BIG_ENDIAN__
# define WORDS_BIGENDIAN 1
# endif
#else
# ifndef WORDS_BIGENDIAN
/* # undef WORDS_BIGENDIAN */
# endif
#endif
/* Define to 1 if on MINIX. */
/* #undef _MINIX */
/* Define to 2 if the system does not provide POSIX.1 features except with
this defined. */
/* #undef _POSIX_1_SOURCE */
/* Define to 1 if you need to in order for `stat' and other things to work. */
/* #undef _POSIX_SOURCE */
|
nanort.h | //
// NanoRT, single header only modern ray tracing kernel.
//
//
// Notes : The number of primitives are up to 2G. If you want to render large
// data, please split data into chunks(~ 2G prims) and use NanoSG scene graph
// library(`${nanort}/examples/nanosg`).
//
/*
The MIT License (MIT)
Copyright (c) 2015 - 2018 Light Transport Entertainment, Inc.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.
*/
#ifndef NANORT_H_
#define NANORT_H_
#include <algorithm>
#include <cassert>
#include <cmath>
#include <cstdio>
#include <cstdlib>
#include <cstring>
#include <functional>
#include <limits>
#include <memory>
#include <queue>
#include <string>
#include <vector>
// compiler macros
//
// NANORT_USE_CPP11_FEATURE : Enable C++11 feature
// NANORT_ENABLE_PARALLEL_BUILD : Enable parallel BVH build.
// NANORT_ENABLE_SERIALIZATION : Enable serialization feature for built BVH.
//
// Parallelized BVH build is supported on C++11 thread version.
// OpenMP version is not fully tested.
// thus turn off if you face a problem when building BVH in parallel.
// #define NANORT_ENABLE_PARALLEL_BUILD
// Some constants
#define kNANORT_MIN_PRIMITIVES_FOR_PARALLEL_BUILD (1024 * 8)
#define kNANORT_SHALLOW_DEPTH (4) // will create 2**N subtrees
#ifdef NANORT_USE_CPP11_FEATURE
// Assume C++11 compiler has thread support.
// In some situation(e.g. embedded system, JIT compilation), thread feature
// may not be available though...
#include <atomic>
#include <mutex>
#include <thread>
#define kNANORT_MAX_THREADS (256)
// Parallel build should work well for C++11 version, thus force enable it.
#ifndef NANORT_ENABLE_PARALLEL_BUILD
#define NANORT_ENABLE_PARALLEL_BUILD
#endif
#endif
namespace nanort {
// RayType
typedef enum {
RAY_TYPE_NONE = 0x0,
RAY_TYPE_PRIMARY = 0x1,
RAY_TYPE_SECONDARY = 0x2,
RAY_TYPE_DIFFUSE = 0x4,
RAY_TYPE_REFLECTION = 0x8,
RAY_TYPE_REFRACTION = 0x10
} RayType;
#ifdef __clang__
#pragma clang diagnostic push
#if __has_warning("-Wzero-as-null-pointer-constant")
#pragma clang diagnostic ignored "-Wzero-as-null-pointer-constant"
#endif
#endif
// ----------------------------------------------------------------------------
// Small vector class useful for multi-threaded environment.
//
// stack_container.h
//
// Copyright (c) 2006-2008 The Chromium Authors. All rights reserved.
// Use of this source code is governed by a BSD-style license that can be
// found in the LICENSE file.
// This allocator can be used with STL containers to provide a stack buffer
// from which to allocate memory and overflows onto the heap. This stack buffer
// would be allocated on the stack and allows us to avoid heap operations in
// some situations.
//
// STL likes to make copies of allocators, so the allocator itself can't hold
// the data. Instead, we make the creator responsible for creating a
// StackAllocator::Source which contains the data. Copying the allocator
// merely copies the pointer to this shared source, so all allocators created
// based on our allocator will share the same stack buffer.
//
// This stack buffer implementation is very simple. The first allocation that
// fits in the stack buffer will use the stack buffer. Any subsequent
// allocations will not use the stack buffer, even if there is unused room.
// This makes it appropriate for array-like containers, but the caller should
// be sure to reserve() in the container up to the stack buffer size. Otherwise
// the container will allocate a small array which will "use up" the stack
// buffer.
template <typename T, size_t stack_capacity>
class StackAllocator : public std::allocator<T> {
public:
typedef typename std::allocator<T>::pointer pointer;
typedef typename std::allocator<T>::size_type size_type;
// Backing store for the allocator. The container owner is responsible for
// maintaining this for as long as any containers using this allocator are
// live.
struct Source {
Source() : used_stack_buffer_(false) {}
// Casts the buffer in its right type.
T *stack_buffer() { return reinterpret_cast<T *>(stack_buffer_); }
const T *stack_buffer() const {
return reinterpret_cast<const T *>(stack_buffer_);
}
//
// IMPORTANT: Take care to ensure that stack_buffer_ is aligned
// since it is used to mimic an array of T.
// Be careful while declaring any unaligned types (like bool)
// before stack_buffer_.
//
// The buffer itself. It is not of type T because we don't want the
// constructors and destructors to be automatically called. Define a POD
// buffer of the right size instead.
char stack_buffer_[sizeof(T[stack_capacity])];
// Set when the stack buffer is used for an allocation. We do not track
// how much of the buffer is used, only that somebody is using it.
bool used_stack_buffer_;
};
// Used by containers when they want to refer to an allocator of type U.
template <typename U>
struct rebind {
typedef StackAllocator<U, stack_capacity> other;
};
// For the straight up copy c-tor, we can share storage.
StackAllocator(const StackAllocator<T, stack_capacity> &rhs)
: source_(rhs.source_) {}
// ISO C++ requires the following constructor to be defined,
// and std::vector in VC++2008SP1 Release fails with an error
// in the class _Container_base_aux_alloc_real (from <xutility>)
// if the constructor does not exist.
// For this constructor, we cannot share storage; there's
// no guarantee that the Source buffer of Ts is large enough
// for Us.
// TODO(Google): If we were fancy pants, perhaps we could share storage
// iff sizeof(T) == sizeof(U).
template <typename U, size_t other_capacity>
StackAllocator(const StackAllocator<U, other_capacity> &other)
: source_(NULL) {
(void)other;
}
explicit StackAllocator(Source *source) : source_(source) {}
// Actually do the allocation. Use the stack buffer if nobody has used it yet
// and the size requested fits. Otherwise, fall through to the standard
// allocator.
pointer allocate(size_type n, void *hint = 0) {
if (source_ != NULL && !source_->used_stack_buffer_ &&
n <= stack_capacity) {
source_->used_stack_buffer_ = true;
return source_->stack_buffer();
} else {
return std::allocator<T>::allocate(n, hint);
}
}
// Free: when trying to free the stack buffer, just mark it as free. For
// non-stack-buffer pointers, just fall though to the standard allocator.
void deallocate(pointer p, size_type n) {
if (source_ != NULL && p == source_->stack_buffer())
source_->used_stack_buffer_ = false;
else
std::allocator<T>::deallocate(p, n);
}
private:
Source *source_;
};
// A wrapper around STL containers that maintains a stack-sized buffer that the
// initial capacity of the vector is based on. Growing the container beyond the
// stack capacity will transparently overflow onto the heap. The container must
// support reserve().
//
// WATCH OUT: the ContainerType MUST use the proper StackAllocator for this
// type. This object is really intended to be used only internally. You'll want
// to use the wrappers below for different types.
template <typename TContainerType, int stack_capacity>
class StackContainer {
public:
typedef TContainerType ContainerType;
typedef typename ContainerType::value_type ContainedType;
typedef StackAllocator<ContainedType, stack_capacity> Allocator;
// Allocator must be constructed before the container!
StackContainer() : allocator_(&stack_data_), container_(allocator_) {
// Make the container use the stack allocation by reserving our buffer size
// before doing anything else.
container_.reserve(stack_capacity);
}
// Getters for the actual container.
//
// Danger: any copies of this made using the copy constructor must have
// shorter lifetimes than the source. The copy will share the same allocator
// and therefore the same stack buffer as the original. Use std::copy to
// copy into a "real" container for longer-lived objects.
ContainerType &container() { return container_; }
const ContainerType &container() const { return container_; }
// Support operator-> to get to the container. This allows nicer syntax like:
// StackContainer<...> foo;
// std::sort(foo->begin(), foo->end());
ContainerType *operator->() { return &container_; }
const ContainerType *operator->() const { return &container_; }
#ifdef UNIT_TEST
// Retrieves the stack source so that that unit tests can verify that the
// buffer is being used properly.
const typename Allocator::Source &stack_data() const { return stack_data_; }
#endif
protected:
typename Allocator::Source stack_data_;
unsigned char pad_[7];
Allocator allocator_;
ContainerType container_;
// DISALLOW_EVIL_CONSTRUCTORS(StackContainer);
StackContainer(const StackContainer &);
void operator=(const StackContainer &);
};
// StackVector
//
// Example:
// StackVector<int, 16> foo;
// foo->push_back(22); // we have overloaded operator->
// foo[0] = 10; // as well as operator[]
template <typename T, size_t stack_capacity>
class StackVector
: public StackContainer<std::vector<T, StackAllocator<T, stack_capacity> >,
stack_capacity> {
public:
StackVector()
: StackContainer<std::vector<T, StackAllocator<T, stack_capacity> >,
stack_capacity>() {}
// We need to put this in STL containers sometimes, which requires a copy
// constructor. We can't call the regular copy constructor because that will
// take the stack buffer from the original. Here, we create an empty object
// and make a stack buffer of its own.
StackVector(const StackVector<T, stack_capacity> &other)
: StackContainer<std::vector<T, StackAllocator<T, stack_capacity> >,
stack_capacity>() {
this->container().assign(other->begin(), other->end());
}
StackVector<T, stack_capacity> &operator=(
const StackVector<T, stack_capacity> &other) {
this->container().assign(other->begin(), other->end());
return *this;
}
// Vectors are commonly indexed, which isn't very convenient even with
// operator-> (using "->at()" does exception stuff we don't want).
T &operator[](size_t i) { return this->container().operator[](i); }
const T &operator[](size_t i) const {
return this->container().operator[](i);
}
};
// ----------------------------------------------------------------------------
template <typename T = float>
class real3 {
public:
real3() {}
real3(T x) {
v[0] = x;
v[1] = x;
v[2] = x;
}
real3(T xx, T yy, T zz) {
v[0] = xx;
v[1] = yy;
v[2] = zz;
}
explicit real3(const T *p) {
v[0] = p[0];
v[1] = p[1];
v[2] = p[2];
}
inline T x() const { return v[0]; }
inline T y() const { return v[1]; }
inline T z() const { return v[2]; }
real3 operator*(T f) const { return real3(x() * f, y() * f, z() * f); }
real3 operator-(const real3 &f2) const {
return real3(x() - f2.x(), y() - f2.y(), z() - f2.z());
}
real3 operator*(const real3 &f2) const {
return real3(x() * f2.x(), y() * f2.y(), z() * f2.z());
}
real3 operator+(const real3 &f2) const {
return real3(x() + f2.x(), y() + f2.y(), z() + f2.z());
}
real3 &operator+=(const real3 &f2) {
v[0] += f2.x();
v[1] += f2.y();
v[2] += f2.z();
return (*this);
}
real3 operator/(const real3 &f2) const {
return real3(x() / f2.x(), y() / f2.y(), z() / f2.z());
}
real3 operator-() const { return real3(-x(), -y(), -z()); }
T operator[](int i) const { return v[i]; }
T &operator[](int i) { return v[i]; }
T v[3];
// T pad; // for alignment(when T = float)
};
template <typename T>
inline real3<T> operator*(T f, const real3<T> &v) {
return real3<T>(v.x() * f, v.y() * f, v.z() * f);
}
template <typename T>
inline real3<T> vneg(const real3<T> &rhs) {
return real3<T>(-rhs.x(), -rhs.y(), -rhs.z());
}
template <typename T>
inline T vlength(const real3<T> &rhs) {
return std::sqrt(rhs.x() * rhs.x() + rhs.y() * rhs.y() + rhs.z() * rhs.z());
}
template <typename T>
inline real3<T> vnormalize(const real3<T> &rhs) {
real3<T> v = rhs;
T len = vlength(rhs);
if (std::fabs(len) > std::numeric_limits<T>::epsilon()) {
T inv_len = static_cast<T>(1.0) / len;
v.v[0] *= inv_len;
v.v[1] *= inv_len;
v.v[2] *= inv_len;
}
return v;
}
template <typename T>
inline real3<T> vcross(const real3<T> a, const real3<T> b) {
real3<T> c;
c[0] = a[1] * b[2] - a[2] * b[1];
c[1] = a[2] * b[0] - a[0] * b[2];
c[2] = a[0] * b[1] - a[1] * b[0];
return c;
}
template <typename T>
inline T vdot(const real3<T> a, const real3<T> b) {
return a[0] * b[0] + a[1] * b[1] + a[2] * b[2];
}
template <typename T>
inline real3<T> vsafe_inverse(const real3<T> v) {
real3<T> r;
#ifdef NANORT_USE_CPP11_FEATURE
if (std::fabs(v[0]) < std::numeric_limits<T>::epsilon()) {
r[0] = std::numeric_limits<T>::infinity() *
std::copysign(static_cast<T>(1), v[0]);
} else {
r[0] = static_cast<T>(1.0) / v[0];
}
if (std::fabs(v[1]) < std::numeric_limits<T>::epsilon()) {
r[1] = std::numeric_limits<T>::infinity() *
std::copysign(static_cast<T>(1), v[1]);
} else {
r[1] = static_cast<T>(1.0) / v[1];
}
if (std::fabs(v[2]) < std::numeric_limits<T>::epsilon()) {
r[2] = std::numeric_limits<T>::infinity() *
std::copysign(static_cast<T>(1), v[2]);
} else {
r[2] = static_cast<T>(1.0) / v[2];
}
#else
if (std::fabs(v[0]) < std::numeric_limits<T>::epsilon()) {
T sgn = (v[0] < static_cast<T>(0)) ? static_cast<T>(-1) : static_cast<T>(1);
r[0] = std::numeric_limits<T>::infinity() * sgn;
} else {
r[0] = static_cast<T>(1.0) / v[0];
}
if (std::fabs(v[1]) < std::numeric_limits<T>::epsilon()) {
T sgn = (v[1] < static_cast<T>(0)) ? static_cast<T>(-1) : static_cast<T>(1);
r[1] = std::numeric_limits<T>::infinity() * sgn;
} else {
r[1] = static_cast<T>(1.0) / v[1];
}
if (std::fabs(v[2]) < std::numeric_limits<T>::epsilon()) {
T sgn = (v[2] < static_cast<T>(0)) ? static_cast<T>(-1) : static_cast<T>(1);
r[2] = std::numeric_limits<T>::infinity() * sgn;
} else {
r[2] = static_cast<T>(1.0) / v[2];
}
#endif
return r;
}
template <typename real>
inline const real *get_vertex_addr(const real *p, const size_t idx,
const size_t stride_bytes) {
return reinterpret_cast<const real *>(
reinterpret_cast<const unsigned char *>(p) + idx * stride_bytes);
}
template <typename T = float>
class Ray {
public:
Ray()
: min_t(static_cast<T>(0.0)),
max_t(std::numeric_limits<T>::max()),
type(RAY_TYPE_NONE) {
org[0] = static_cast<T>(0.0);
org[1] = static_cast<T>(0.0);
org[2] = static_cast<T>(0.0);
dir[0] = static_cast<T>(0.0);
dir[1] = static_cast<T>(0.0);
dir[2] = static_cast<T>(-1.0);
}
T org[3]; // must set
T dir[3]; // must set
T min_t; // minimum ray hit distance.
T max_t; // maximum ray hit distance.
T inv_dir[3]; // filled internally
int dir_sign[3]; // filled internally
unsigned int type; // ray type
// TODO(LTE): Align sizeof(Ray)
};
template <typename T = float>
class BVHNode {
public:
BVHNode() {}
BVHNode(const BVHNode &rhs) {
bmin[0] = rhs.bmin[0];
bmin[1] = rhs.bmin[1];
bmin[2] = rhs.bmin[2];
flag = rhs.flag;
bmax[0] = rhs.bmax[0];
bmax[1] = rhs.bmax[1];
bmax[2] = rhs.bmax[2];
axis = rhs.axis;
data[0] = rhs.data[0];
data[1] = rhs.data[1];
}
BVHNode &operator=(const BVHNode &rhs) {
bmin[0] = rhs.bmin[0];
bmin[1] = rhs.bmin[1];
bmin[2] = rhs.bmin[2];
flag = rhs.flag;
bmax[0] = rhs.bmax[0];
bmax[1] = rhs.bmax[1];
bmax[2] = rhs.bmax[2];
axis = rhs.axis;
data[0] = rhs.data[0];
data[1] = rhs.data[1];
return (*this);
}
~BVHNode() {}
T bmin[3];
T bmax[3];
int flag; // 1 = leaf node, 0 = branch node
int axis;
// leaf
// data[0] = npoints
// data[1] = index
//
// branch
// data[0] = child[0]
// data[1] = child[1]
unsigned int data[2];
};
template <class H>
class IntersectComparator {
public:
bool operator()(const H &a, const H &b) const { return a.t < b.t; }
};
/// BVH build option.
template <typename T = float>
struct BVHBuildOptions {
T cost_t_aabb;
unsigned int min_leaf_primitives;
unsigned int max_tree_depth;
unsigned int bin_size;
unsigned int shallow_depth;
unsigned int min_primitives_for_parallel_build;
// Cache bounding box computation.
// Requires more memory, but BVHbuild can be faster.
bool cache_bbox;
unsigned char pad[3];
// Set default value: Taabb = 0.2
BVHBuildOptions()
: cost_t_aabb(static_cast<T>(0.2)),
min_leaf_primitives(4),
max_tree_depth(256),
bin_size(64),
shallow_depth(kNANORT_SHALLOW_DEPTH),
min_primitives_for_parallel_build(
kNANORT_MIN_PRIMITIVES_FOR_PARALLEL_BUILD),
cache_bbox(false) {}
};
/// BVH build statistics.
class BVHBuildStatistics {
public:
unsigned int max_tree_depth;
unsigned int num_leaf_nodes;
unsigned int num_branch_nodes;
float build_secs;
// Set default value: Taabb = 0.2
BVHBuildStatistics()
: max_tree_depth(0),
num_leaf_nodes(0),
num_branch_nodes(0),
build_secs(0.0f) {}
};
/// BVH trace option.
class BVHTraceOptions {
public:
// Hit only for face IDs in indexRange.
// This feature is good to mimic something like glDrawArrays()
unsigned int prim_ids_range[2];
// Prim ID to skip for avoiding self-intersection
// -1 = no skipping
unsigned int skip_prim_id;
bool cull_back_face;
unsigned char pad[3]; ///< Padding(not used)
BVHTraceOptions() {
prim_ids_range[0] = 0;
prim_ids_range[1] = 0x7FFFFFFF; // Up to 2G face IDs.
skip_prim_id = static_cast<unsigned int>(-1);
cull_back_face = false;
}
};
template <typename T>
class BBox {
public:
real3<T> bmin;
real3<T> bmax;
BBox() {
bmin[0] = bmin[1] = bmin[2] = std::numeric_limits<T>::max();
bmax[0] = bmax[1] = bmax[2] = -std::numeric_limits<T>::max();
}
};
template <typename T>
class NodeHit {
public:
NodeHit()
: t_min(std::numeric_limits<T>::max()),
t_max(-std::numeric_limits<T>::max()),
node_id(static_cast<unsigned int>(-1)) {}
NodeHit(const NodeHit<T> &rhs) {
t_min = rhs.t_min;
t_max = rhs.t_max;
node_id = rhs.node_id;
}
NodeHit &operator=(const NodeHit<T> &rhs) {
t_min = rhs.t_min;
t_max = rhs.t_max;
node_id = rhs.node_id;
return (*this);
}
~NodeHit() {}
T t_min;
T t_max;
unsigned int node_id;
};
template <typename T>
class NodeHitComparator {
public:
inline bool operator()(const NodeHit<T> &a, const NodeHit<T> &b) {
return a.t_min < b.t_min;
}
};
template <typename T>
class BVHAccel {
public:
BVHAccel() : pad0_(0) { (void)pad0_; }
~BVHAccel() {}
///
/// Build BVH for input primitives.
///
template <class P, class Pred>
bool Build(const unsigned int num_primitives, const P &p, const Pred &pred,
const BVHBuildOptions<T> &options = BVHBuildOptions<T>());
///
/// Get statistics of built BVH tree. Valid after Build()
///
BVHBuildStatistics GetStatistics() const { return stats_; }
#if defined(NANORT_ENABLE_SERIALIZATION)
///
/// Dump built BVH to the file.
///
bool Dump(const char *filename) const;
bool Dump(FILE *fp) const;
///
/// Load BVH binary
///
bool Load(const char *filename);
bool Load(FILE *fp);
#endif
void Debug();
///
/// Traverse into BVH along ray and find closest hit point & primitive if
/// found
///
template <class I, class H>
bool Traverse(const Ray<T> &ray, const I &intersector, H *isect,
const BVHTraceOptions &options = BVHTraceOptions()) const;
#if 0
/// Multi-hit ray traversal
/// Returns `max_intersections` frontmost intersections
template<class I, class H, class Comp>
bool MultiHitTraverse(const Ray<T> &ray,
int max_intersections,
const I &intersector,
StackVector<H, 128> *isects,
const BVHTraceOptions &options = BVHTraceOptions()) const;
#endif
///
/// List up nodes which intersects along the ray.
/// This function is useful for two-level BVH traversal.
///
template <class I>
bool ListNodeIntersections(const Ray<T> &ray, int max_intersections,
const I &intersector,
StackVector<NodeHit<T>, 128> *hits) const;
const std::vector<BVHNode<T> > &GetNodes() const { return nodes_; }
const std::vector<unsigned int> &GetIndices() const { return indices_; }
///
/// Returns bounding box of built BVH.
///
void BoundingBox(T bmin[3], T bmax[3]) const {
if (nodes_.empty()) {
bmin[0] = bmin[1] = bmin[2] = std::numeric_limits<T>::max();
bmax[0] = bmax[1] = bmax[2] = -std::numeric_limits<T>::max();
} else {
bmin[0] = nodes_[0].bmin[0];
bmin[1] = nodes_[0].bmin[1];
bmin[2] = nodes_[0].bmin[2];
bmax[0] = nodes_[0].bmax[0];
bmax[1] = nodes_[0].bmax[1];
bmax[2] = nodes_[0].bmax[2];
}
}
bool IsValid() const { return nodes_.size() > 0; }
private:
#if defined(NANORT_ENABLE_PARALLEL_BUILD)
typedef struct {
unsigned int left_idx;
unsigned int right_idx;
unsigned int offset;
} ShallowNodeInfo;
// Used only during BVH construction
std::vector<ShallowNodeInfo> shallow_node_infos_;
/// Builds shallow BVH tree recursively.
template <class P, class Pred>
unsigned int BuildShallowTree(std::vector<BVHNode<T> > *out_nodes,
unsigned int left_idx, unsigned int right_idx,
unsigned int depth,
unsigned int max_shallow_depth, const P &p,
const Pred &pred);
#endif
/// Builds BVH tree recursively.
template <class P, class Pred>
unsigned int BuildTree(BVHBuildStatistics *out_stat,
std::vector<BVHNode<T> > *out_nodes,
unsigned int left_idx, unsigned int right_idx,
unsigned int depth, const P &p, const Pred &pred);
template <class I>
bool TestLeafNode(const BVHNode<T> &node, const Ray<T> &ray,
const I &intersector) const;
template <class I>
bool TestLeafNodeIntersections(
const BVHNode<T> &node, const Ray<T> &ray, const int max_intersections,
const I &intersector,
std::priority_queue<NodeHit<T>, std::vector<NodeHit<T> >,
NodeHitComparator<T> > *isect_pq) const;
#if 0
template<class I, class H, class Comp>
bool MultiHitTestLeafNode(std::priority_queue<H, std::vector<H>, Comp> *isect_pq,
int max_intersections,
const BVHNode<T> &node, const Ray<T> &ray,
const I &intersector) const;
#endif
std::vector<BVHNode<T> > nodes_;
std::vector<unsigned int> indices_; // max 4G triangles.
std::vector<BBox<T> > bboxes_;
BVHBuildOptions<T> options_;
BVHBuildStatistics stats_;
unsigned int pad0_;
};
// Predefined SAH predicator for triangle.
template <typename T = float>
class TriangleSAHPred {
public:
TriangleSAHPred(
const T *vertices, const unsigned int *faces,
size_t vertex_stride_bytes) // e.g. 12 for sizeof(float) * XYZ
: axis_(0),
pos_(static_cast<T>(0.0)),
vertices_(vertices),
faces_(faces),
vertex_stride_bytes_(vertex_stride_bytes) {}
TriangleSAHPred(const TriangleSAHPred<T> &rhs)
: axis_(rhs.axis_),
pos_(rhs.pos_),
vertices_(rhs.vertices_),
faces_(rhs.faces_),
vertex_stride_bytes_(rhs.vertex_stride_bytes_) {}
TriangleSAHPred<T> &operator=(const TriangleSAHPred<T> &rhs) {
axis_ = rhs.axis_;
pos_ = rhs.pos_;
vertices_ = rhs.vertices_;
faces_ = rhs.faces_;
vertex_stride_bytes_ = rhs.vertex_stride_bytes_;
return (*this);
}
void Set(int axis, T pos) const {
axis_ = axis;
pos_ = pos;
}
bool operator()(unsigned int i) const {
int axis = axis_;
T pos = pos_;
unsigned int i0 = faces_[3 * i + 0];
unsigned int i1 = faces_[3 * i + 1];
unsigned int i2 = faces_[3 * i + 2];
real3<T> p0(get_vertex_addr<T>(vertices_, i0, vertex_stride_bytes_));
real3<T> p1(get_vertex_addr<T>(vertices_, i1, vertex_stride_bytes_));
real3<T> p2(get_vertex_addr<T>(vertices_, i2, vertex_stride_bytes_));
T center = p0[axis] + p1[axis] + p2[axis];
return (center < pos * static_cast<T>(3.0));
}
private:
mutable int axis_;
mutable T pos_;
const T *vertices_;
const unsigned int *faces_;
const size_t vertex_stride_bytes_;
};
// Predefined Triangle mesh geometry.
template <typename T = float>
class TriangleMesh {
public:
TriangleMesh(
const T *vertices, const unsigned int *faces,
const size_t vertex_stride_bytes) // e.g. 12 for sizeof(float) * XYZ
: vertices_(vertices),
faces_(faces),
vertex_stride_bytes_(vertex_stride_bytes) {}
/// Compute bounding box for `prim_index`th triangle.
/// This function is called for each primitive in BVH build.
void BoundingBox(real3<T> *bmin, real3<T> *bmax,
unsigned int prim_index) const {
(*bmin)[0] = get_vertex_addr(vertices_, faces_[3 * prim_index + 0],
vertex_stride_bytes_)[0];
(*bmin)[1] = get_vertex_addr(vertices_, faces_[3 * prim_index + 0],
vertex_stride_bytes_)[1];
(*bmin)[2] = get_vertex_addr(vertices_, faces_[3 * prim_index + 0],
vertex_stride_bytes_)[2];
(*bmax)[0] = get_vertex_addr(vertices_, faces_[3 * prim_index + 0],
vertex_stride_bytes_)[0];
(*bmax)[1] = get_vertex_addr(vertices_, faces_[3 * prim_index + 0],
vertex_stride_bytes_)[1];
(*bmax)[2] = get_vertex_addr(vertices_, faces_[3 * prim_index + 0],
vertex_stride_bytes_)[2];
for (unsigned int i = 1; i < 3; i++) {
for (unsigned int k = 0; k < 3; k++) {
if ((*bmin)[static_cast<int>(k)] >
get_vertex_addr<T>(vertices_, faces_[3 * prim_index + i],
vertex_stride_bytes_)[k]) {
(*bmin)[static_cast<int>(k)] = get_vertex_addr<T>(
vertices_, faces_[3 * prim_index + i], vertex_stride_bytes_)[k];
}
if ((*bmax)[static_cast<int>(k)] <
get_vertex_addr<T>(vertices_, faces_[3 * prim_index + i],
vertex_stride_bytes_)[k]) {
(*bmax)[static_cast<int>(k)] = get_vertex_addr<T>(
vertices_, faces_[3 * prim_index + i], vertex_stride_bytes_)[k];
}
}
}
}
const T *vertices_;
const unsigned int *faces_;
const size_t vertex_stride_bytes_;
};
template <typename T = float>
class TriangleIntersection {
public:
T u;
T v;
// Required member variables.
T t;
unsigned int prim_id;
};
template <typename T = float, class H = TriangleIntersection<T> >
class TriangleIntersector {
public:
TriangleIntersector(const T *vertices, const unsigned int *faces,
const size_t vertex_stride_bytes) // e.g.
// vertex_stride_bytes
// = 12 = sizeof(float)
// * 3
: vertices_(vertices),
faces_(faces),
vertex_stride_bytes_(vertex_stride_bytes) {}
// For Watertight Ray/Triangle Intersection.
typedef struct {
T Sx;
T Sy;
T Sz;
int kx;
int ky;
int kz;
} RayCoeff;
/// Do ray interesection stuff for `prim_index` th primitive and return hit
/// distance `t`,
/// varycentric coordinate `u` and `v`.
/// Returns true if there's intersection.
bool Intersect(T *t_inout, const unsigned int prim_index) const {
if ((prim_index < trace_options_.prim_ids_range[0]) ||
(prim_index >= trace_options_.prim_ids_range[1])) {
return false;
}
// Self-intersection test.
if (prim_index == trace_options_.skip_prim_id) {
return false;
}
const unsigned int f0 = faces_[3 * prim_index + 0];
const unsigned int f1 = faces_[3 * prim_index + 1];
const unsigned int f2 = faces_[3 * prim_index + 2];
const real3<T> p0(get_vertex_addr(vertices_, f0 + 0, vertex_stride_bytes_));
const real3<T> p1(get_vertex_addr(vertices_, f1 + 0, vertex_stride_bytes_));
const real3<T> p2(get_vertex_addr(vertices_, f2 + 0, vertex_stride_bytes_));
const real3<T> A = p0 - ray_org_;
const real3<T> B = p1 - ray_org_;
const real3<T> C = p2 - ray_org_;
const T Ax = A[ray_coeff_.kx] - ray_coeff_.Sx * A[ray_coeff_.kz];
const T Ay = A[ray_coeff_.ky] - ray_coeff_.Sy * A[ray_coeff_.kz];
const T Bx = B[ray_coeff_.kx] - ray_coeff_.Sx * B[ray_coeff_.kz];
const T By = B[ray_coeff_.ky] - ray_coeff_.Sy * B[ray_coeff_.kz];
const T Cx = C[ray_coeff_.kx] - ray_coeff_.Sx * C[ray_coeff_.kz];
const T Cy = C[ray_coeff_.ky] - ray_coeff_.Sy * C[ray_coeff_.kz];
T U = Cx * By - Cy * Bx;
T V = Ax * Cy - Ay * Cx;
T W = Bx * Ay - By * Ax;
#ifdef __clang__
#pragma clang diagnostic push
#pragma clang diagnostic ignored "-Wfloat-equal"
#endif
// Fall back to test against edges using double precision.
if (U == static_cast<T>(0.0) || V == static_cast<T>(0.0) ||
W == static_cast<T>(0.0)) {
double CxBy = static_cast<double>(Cx) * static_cast<double>(By);
double CyBx = static_cast<double>(Cy) * static_cast<double>(Bx);
U = static_cast<T>(CxBy - CyBx);
double AxCy = static_cast<double>(Ax) * static_cast<double>(Cy);
double AyCx = static_cast<double>(Ay) * static_cast<double>(Cx);
V = static_cast<T>(AxCy - AyCx);
double BxAy = static_cast<double>(Bx) * static_cast<double>(Ay);
double ByAx = static_cast<double>(By) * static_cast<double>(Ax);
W = static_cast<T>(BxAy - ByAx);
}
if (trace_options_.cull_back_face) {
if (U < static_cast<T>(0.0) || V < static_cast<T>(0.0) ||
W < static_cast<T>(0.0))
return false;
} else {
if ((U < static_cast<T>(0.0) || V < static_cast<T>(0.0) ||
W < static_cast<T>(0.0)) &&
(U > static_cast<T>(0.0) || V > static_cast<T>(0.0) ||
W > static_cast<T>(0.0))) {
return false;
}
}
T det = U + V + W;
if (det == static_cast<T>(0.0)) return false;
#ifdef __clang__
#pragma clang diagnostic pop
#endif
const T Az = ray_coeff_.Sz * A[ray_coeff_.kz];
const T Bz = ray_coeff_.Sz * B[ray_coeff_.kz];
const T Cz = ray_coeff_.Sz * C[ray_coeff_.kz];
const T D = U * Az + V * Bz + W * Cz;
const T rcpDet = static_cast<T>(1.0) / det;
T tt = D * rcpDet;
if (tt > (*t_inout)) {
return false;
}
if (tt < t_min_) {
return false;
}
(*t_inout) = tt;
// Use Thomas-Mueller style barycentric coord.
// U + V + W = 1.0 and interp(p) = U * p0 + V * p1 + W * p2
// We want interp(p) = (1 - u - v) * p0 + u * v1 + v * p2;
// => u = V, v = W.
u_ = V * rcpDet;
v_ = W * rcpDet;
return true;
}
/// Returns the nearest hit distance.
T GetT() const { return t_; }
/// Update is called when initializing intesection and nearest hit is found.
void Update(T t, unsigned int prim_idx) const {
t_ = t;
prim_id_ = prim_idx;
}
/// Prepare BVH traversal(e.g. compute inverse ray direction)
/// This function is called only once in BVH traversal.
void PrepareTraversal(const Ray<T> &ray,
const BVHTraceOptions &trace_options) const {
ray_org_[0] = ray.org[0];
ray_org_[1] = ray.org[1];
ray_org_[2] = ray.org[2];
// Calculate dimension where the ray direction is maximal.
ray_coeff_.kz = 0;
T absDir = std::fabs(ray.dir[0]);
if (absDir < std::fabs(ray.dir[1])) {
ray_coeff_.kz = 1;
absDir = std::fabs(ray.dir[1]);
}
if (absDir < std::fabs(ray.dir[2])) {
ray_coeff_.kz = 2;
absDir = std::fabs(ray.dir[2]);
}
ray_coeff_.kx = ray_coeff_.kz + 1;
if (ray_coeff_.kx == 3) ray_coeff_.kx = 0;
ray_coeff_.ky = ray_coeff_.kx + 1;
if (ray_coeff_.ky == 3) ray_coeff_.ky = 0;
// Swap kx and ky dimension to preserve widing direction of triangles.
if (ray.dir[ray_coeff_.kz] < static_cast<T>(0.0))
std::swap(ray_coeff_.kx, ray_coeff_.ky);
// Calculate shear constants.
ray_coeff_.Sx = ray.dir[ray_coeff_.kx] / ray.dir[ray_coeff_.kz];
ray_coeff_.Sy = ray.dir[ray_coeff_.ky] / ray.dir[ray_coeff_.kz];
ray_coeff_.Sz = static_cast<T>(1.0) / ray.dir[ray_coeff_.kz];
trace_options_ = trace_options;
t_min_ = ray.min_t;
u_ = static_cast<T>(0.0);
v_ = static_cast<T>(0.0);
}
/// Post BVH traversal stuff.
/// Fill `isect` if there is a hit.
void PostTraversal(const Ray<T> &ray, bool hit, H *isect) const {
if (hit && isect) {
(*isect).t = t_;
(*isect).u = u_;
(*isect).v = v_;
(*isect).prim_id = prim_id_;
}
(void)ray;
}
private:
const T *vertices_;
const unsigned int *faces_;
const size_t vertex_stride_bytes_;
mutable real3<T> ray_org_;
mutable RayCoeff ray_coeff_;
mutable BVHTraceOptions trace_options_;
mutable T t_min_;
mutable T t_;
mutable T u_;
mutable T v_;
mutable unsigned int prim_id_;
};
//
// Robust BVH Ray Traversal : http://jcgt.org/published/0002/02/02/paper.pdf
//
// NaN-safe min and max function.
template <class T>
const T &safemin(const T &a, const T &b) {
return (a < b) ? a : b;
}
template <class T>
const T &safemax(const T &a, const T &b) {
return (a > b) ? a : b;
}
//
// SAH functions
//
struct BinBuffer {
explicit BinBuffer(unsigned int size) {
bin_size = size;
bin.resize(2 * 3 * size);
clear();
}
void clear() { memset(&bin[0], 0, sizeof(size_t) * 2 * 3 * bin_size); }
std::vector<size_t> bin; // (min, max) * xyz * binsize
unsigned int bin_size;
unsigned int pad0;
};
template <typename T>
inline T CalculateSurfaceArea(const real3<T> &min, const real3<T> &max) {
real3<T> box = max - min;
return static_cast<T>(2.0) *
(box[0] * box[1] + box[1] * box[2] + box[2] * box[0]);
}
template <typename T>
inline void GetBoundingBoxOfTriangle(real3<T> *bmin, real3<T> *bmax,
const T *vertices,
const unsigned int *faces,
unsigned int index) {
unsigned int f0 = faces[3 * index + 0];
unsigned int f1 = faces[3 * index + 1];
unsigned int f2 = faces[3 * index + 2];
real3<T> p[3];
p[0] = real3<T>(&vertices[3 * f0]);
p[1] = real3<T>(&vertices[3 * f1]);
p[2] = real3<T>(&vertices[3 * f2]);
(*bmin) = p[0];
(*bmax) = p[0];
for (int i = 1; i < 3; i++) {
(*bmin)[0] = std::min((*bmin)[0], p[i][0]);
(*bmin)[1] = std::min((*bmin)[1], p[i][1]);
(*bmin)[2] = std::min((*bmin)[2], p[i][2]);
(*bmax)[0] = std::max((*bmax)[0], p[i][0]);
(*bmax)[1] = std::max((*bmax)[1], p[i][1]);
(*bmax)[2] = std::max((*bmax)[2], p[i][2]);
}
}
template <typename T, class P>
inline void ContributeBinBuffer(BinBuffer *bins, // [out]
const real3<T> &scene_min,
const real3<T> &scene_max,
unsigned int *indices, unsigned int left_idx,
unsigned int right_idx, const P &p) {
T bin_size = static_cast<T>(bins->bin_size);
// Calculate extent
real3<T> scene_size, scene_inv_size;
scene_size = scene_max - scene_min;
for (int i = 0; i < 3; ++i) {
assert(scene_size[i] >= static_cast<T>(0.0));
if (scene_size[i] > static_cast<T>(0.0)) {
scene_inv_size[i] = bin_size / scene_size[i];
} else {
scene_inv_size[i] = static_cast<T>(0.0);
}
}
// Clear bin data
std::fill(bins->bin.begin(), bins->bin.end(), 0);
// memset(&bins->bin[0], 0, sizeof(2 * 3 * bins->bin_size));
size_t idx_bmin[3];
size_t idx_bmax[3];
for (size_t i = left_idx; i < right_idx; i++) {
//
// Quantize the position into [0, BIN_SIZE)
//
// q[i] = (int)(p[i] - scene_bmin) / scene_size
//
real3<T> bmin;
real3<T> bmax;
p.BoundingBox(&bmin, &bmax, indices[i]);
// GetBoundingBoxOfTriangle(&bmin, &bmax, vertices, faces, indices[i]);
real3<T> quantized_bmin = (bmin - scene_min) * scene_inv_size;
real3<T> quantized_bmax = (bmax - scene_min) * scene_inv_size;
// idx is now in [0, BIN_SIZE)
for (int j = 0; j < 3; ++j) {
int q0 = static_cast<int>(quantized_bmin[j]);
if (q0 < 0) q0 = 0;
int q1 = static_cast<int>(quantized_bmax[j]);
if (q1 < 0) q1 = 0;
idx_bmin[j] = static_cast<unsigned int>(q0);
idx_bmax[j] = static_cast<unsigned int>(q1);
if (idx_bmin[j] >= bin_size)
idx_bmin[j] = static_cast<unsigned int>(bin_size) - 1;
if (idx_bmax[j] >= bin_size)
idx_bmax[j] = static_cast<unsigned int>(bin_size) - 1;
assert(idx_bmin[j] < bin_size);
assert(idx_bmax[j] < bin_size);
// Increment bin counter
bins->bin[0 * (bins->bin_size * 3) +
static_cast<size_t>(j) * bins->bin_size + idx_bmin[j]] += 1;
bins->bin[1 * (bins->bin_size * 3) +
static_cast<size_t>(j) * bins->bin_size + idx_bmax[j]] += 1;
}
}
}
template <typename T>
inline T SAH(size_t ns1, T leftArea, size_t ns2, T rightArea, T invS, T Taabb,
T Ttri) {
T sah;
sah = static_cast<T>(2.0) * Taabb +
(leftArea * invS) * static_cast<T>(ns1) * Ttri +
(rightArea * invS) * static_cast<T>(ns2) * Ttri;
return sah;
}
template <typename T>
inline bool FindCutFromBinBuffer(T *cut_pos, // [out] xyz
int *minCostAxis, // [out]
const BinBuffer *bins, const real3<T> &bmin,
const real3<T> &bmax, size_t num_primitives,
T costTaabb) { // should be in [0.0, 1.0]
const T kEPS = std::numeric_limits<T>::epsilon(); // * epsScale;
size_t left, right;
real3<T> bsize, bstep;
real3<T> bminLeft, bmaxLeft;
real3<T> bminRight, bmaxRight;
T saLeft, saRight, saTotal;
T pos;
T minCost[3];
T costTtri = static_cast<T>(1.0) - costTaabb;
(*minCostAxis) = 0;
bsize = bmax - bmin;
bstep = bsize * (static_cast<T>(1.0) / bins->bin_size);
saTotal = CalculateSurfaceArea(bmin, bmax);
T invSaTotal = static_cast<T>(0.0);
if (saTotal > kEPS) {
invSaTotal = static_cast<T>(1.0) / saTotal;
}
for (int j = 0; j < 3; ++j) {
//
// Compute SAH cost for the right side of each cell of the bbox.
// Exclude both extreme side of the bbox.
//
// i: 0 1 2 3
// +----+----+----+----+----+
// | | | | | |
// +----+----+----+----+----+
//
T minCostPos = bmin[j] + static_cast<T>(1.0) * bstep[j];
minCost[j] = std::numeric_limits<T>::max();
left = 0;
right = num_primitives;
bminLeft = bminRight = bmin;
bmaxLeft = bmaxRight = bmax;
for (int i = 0; i < static_cast<int>(bins->bin_size) - 1; ++i) {
left += bins->bin[0 * (3 * bins->bin_size) +
static_cast<size_t>(j) * bins->bin_size +
static_cast<size_t>(i)];
right -= bins->bin[1 * (3 * bins->bin_size) +
static_cast<size_t>(j) * bins->bin_size +
static_cast<size_t>(i)];
assert(left <= num_primitives);
assert(right <= num_primitives);
//
// Split pos bmin + (i + 1) * (bsize / BIN_SIZE)
// +1 for i since we want a position on right side of the cell.
//
pos = bmin[j] + (i + static_cast<T>(1.0)) * bstep[j];
bmaxLeft[j] = pos;
bminRight[j] = pos;
saLeft = CalculateSurfaceArea(bminLeft, bmaxLeft);
saRight = CalculateSurfaceArea(bminRight, bmaxRight);
T cost =
SAH(left, saLeft, right, saRight, invSaTotal, costTaabb, costTtri);
if (cost < minCost[j]) {
//
// Update the min cost
//
minCost[j] = cost;
minCostPos = pos;
// minCostAxis = j;
}
}
cut_pos[j] = minCostPos;
}
// cut_axis = minCostAxis;
// cut_pos = minCostPos;
// Find min cost axis
T cost = minCost[0];
(*minCostAxis) = 0;
if (cost > minCost[1]) {
(*minCostAxis) = 1;
cost = minCost[1];
}
if (cost > minCost[2]) {
(*minCostAxis) = 2;
cost = minCost[2];
}
return true;
}
#ifdef _OPENMP
template <typename T, class P>
void ComputeBoundingBoxOMP(real3<T> *bmin, real3<T> *bmax,
const unsigned int *indices, unsigned int left_index,
unsigned int right_index, const P &p) {
{ p.BoundingBox(bmin, bmax, indices[left_index]); }
T local_bmin[3] = {(*bmin)[0], (*bmin)[1], (*bmin)[2]};
T local_bmax[3] = {(*bmax)[0], (*bmax)[1], (*bmax)[2]};
unsigned int n = right_index - left_index;
#pragma omp parallel firstprivate(local_bmin, local_bmax) if (n > (1024 * 128))
{
#pragma omp parallel for
for (int i = int(left_index); i < int(right_index);
i++) { // for each faces
unsigned int idx = indices[i];
real3<T> bbox_min, bbox_max;
p.BoundingBox(&bbox_min, &bbox_max, idx);
for (int k = 0; k < 3; k++) { // xyz
if ((*bmin)[k] > bbox_min[k]) (*bmin)[k] = bbox_min[k];
if ((*bmax)[k] < bbox_max[k]) (*bmax)[k] = bbox_max[k];
}
}
#pragma omp critical
{
for (int k = 0; k < 3; k++) {
if (local_bmin[k] < (*bmin)[k]) {
{
if (local_bmin[k] < (*bmin)[k]) (*bmin)[k] = local_bmin[k];
}
}
if (local_bmax[k] > (*bmax)[k]) {
{
if (local_bmax[k] > (*bmax)[k]) (*bmax)[k] = local_bmax[k];
}
}
}
}
}
}
#endif
#ifdef NANORT_USE_CPP11_FEATURE
template <typename T, class P>
inline void ComputeBoundingBoxThreaded(real3<T> *bmin, real3<T> *bmax,
const unsigned int *indices,
unsigned int left_index,
unsigned int right_index, const P &p) {
unsigned int n = right_index - left_index;
size_t num_threads = std::min(
size_t(kNANORT_MAX_THREADS),
std::max(size_t(1), size_t(std::thread::hardware_concurrency())));
if (n < num_threads) {
num_threads = n;
}
std::vector<std::thread> workers;
size_t ndiv = n / num_threads;
std::vector<T> local_bmins(3 * num_threads); // 3 = xyz
std::vector<T> local_bmaxs(3 * num_threads); // 3 = xyz
for (size_t t = 0; t < num_threads; t++) {
workers.emplace_back(std::thread([&, t]() {
size_t si = left_index + t * ndiv;
size_t ei = std::min(left_index + (t + 1) * ndiv, size_t(right_index));
local_bmins[3 * t + 0] = std::numeric_limits<T>::infinity();
local_bmins[3 * t + 1] = std::numeric_limits<T>::infinity();
local_bmins[3 * t + 2] = std::numeric_limits<T>::infinity();
local_bmaxs[3 * t + 0] = -std::numeric_limits<T>::infinity();
local_bmaxs[3 * t + 1] = -std::numeric_limits<T>::infinity();
local_bmaxs[3 * t + 2] = -std::numeric_limits<T>::infinity();
for (size_t i = si; i < ei; i++) { // for each faces
unsigned int idx = indices[i];
real3<T> bbox_min, bbox_max;
p.BoundingBox(&bbox_min, &bbox_max, idx);
for (size_t k = 0; k < 3; k++) { // xyz
if (local_bmins[3 * t + k] > bbox_min[int(k)])
local_bmins[3 * t + k] = bbox_min[int(k)];
if (local_bmaxs[3 * t + k] < bbox_max[int(k)])
local_bmaxs[3 * t + k] = bbox_max[int(k)];
}
}
}));
}
for (auto &t : workers) {
t.join();
}
// merge bbox
for (size_t k = 0; k < 3; k++) {
(*bmin)[int(k)] = local_bmins[k];
(*bmax)[int(k)] = local_bmaxs[k];
}
for (size_t t = 1; t < num_threads; t++) {
for (size_t k = 0; k < 3; k++) {
if (local_bmins[3 * t + k] < (*bmin)[int(k)]) {
(*bmin)[int(k)] = local_bmins[3 * t + k];
}
if (local_bmaxs[3 * t + k] > (*bmax)[int(k)]) {
(*bmax)[int(k)] = local_bmaxs[3 * t + k];
}
}
}
}
#endif
template <typename T, class P>
inline void ComputeBoundingBox(real3<T> *bmin, real3<T> *bmax,
const unsigned int *indices,
unsigned int left_index,
unsigned int right_index, const P &p) {
{
unsigned int idx = indices[left_index];
p.BoundingBox(bmin, bmax, idx);
}
{
for (unsigned int i = left_index + 1; i < right_index;
i++) { // for each primitives
unsigned int idx = indices[i];
real3<T> bbox_min, bbox_max;
p.BoundingBox(&bbox_min, &bbox_max, idx);
for (int k = 0; k < 3; k++) { // xyz
if ((*bmin)[k] > bbox_min[k]) (*bmin)[k] = bbox_min[k];
if ((*bmax)[k] < bbox_max[k]) (*bmax)[k] = bbox_max[k];
}
}
}
}
template <typename T>
inline void GetBoundingBox(real3<T> *bmin, real3<T> *bmax,
const std::vector<BBox<T> > &bboxes,
unsigned int *indices, unsigned int left_index,
unsigned int right_index) {
{
unsigned int i = left_index;
unsigned int idx = indices[i];
(*bmin)[0] = bboxes[idx].bmin[0];
(*bmin)[1] = bboxes[idx].bmin[1];
(*bmin)[2] = bboxes[idx].bmin[2];
(*bmax)[0] = bboxes[idx].bmax[0];
(*bmax)[1] = bboxes[idx].bmax[1];
(*bmax)[2] = bboxes[idx].bmax[2];
}
T local_bmin[3] = {(*bmin)[0], (*bmin)[1], (*bmin)[2]};
T local_bmax[3] = {(*bmax)[0], (*bmax)[1], (*bmax)[2]};
{
for (unsigned int i = left_index; i < right_index; i++) { // for each faces
unsigned int idx = indices[i];
for (int k = 0; k < 3; k++) { // xyz
T minval = bboxes[idx].bmin[k];
T maxval = bboxes[idx].bmax[k];
if (local_bmin[k] > minval) local_bmin[k] = minval;
if (local_bmax[k] < maxval) local_bmax[k] = maxval;
}
}
for (int k = 0; k < 3; k++) {
(*bmin)[k] = local_bmin[k];
(*bmax)[k] = local_bmax[k];
}
}
}
//
// --
//
#if defined(NANORT_ENABLE_PARALLEL_BUILD)
template <typename T>
template <class P, class Pred>
unsigned int BVHAccel<T>::BuildShallowTree(std::vector<BVHNode<T> > *out_nodes,
unsigned int left_idx,
unsigned int right_idx,
unsigned int depth,
unsigned int max_shallow_depth,
const P &p, const Pred &pred) {
assert(left_idx <= right_idx);
unsigned int offset = static_cast<unsigned int>(out_nodes->size());
if (stats_.max_tree_depth < depth) {
stats_.max_tree_depth = depth;
}
real3<T> bmin, bmax;
#if defined(NANORT_USE_CPP11_FEATURE) && defined(NANORT_ENABLE_PARALLEL_BUILD)
ComputeBoundingBoxThreaded(&bmin, &bmax, &indices_.at(0), left_idx, right_idx,
p);
#else
ComputeBoundingBox(&bmin, &bmax, &indices_.at(0), left_idx, right_idx, p);
#endif
unsigned int n = right_idx - left_idx;
if ((n <= options_.min_leaf_primitives) ||
(depth >= options_.max_tree_depth)) {
// Create leaf node.
BVHNode<T> leaf;
leaf.bmin[0] = bmin[0];
leaf.bmin[1] = bmin[1];
leaf.bmin[2] = bmin[2];
leaf.bmax[0] = bmax[0];
leaf.bmax[1] = bmax[1];
leaf.bmax[2] = bmax[2];
assert(left_idx < std::numeric_limits<unsigned int>::max());
leaf.flag = 1; // leaf
leaf.data[0] = n;
leaf.data[1] = left_idx;
out_nodes->push_back(leaf); // atomic update
stats_.num_leaf_nodes++;
return offset;
}
//
// Create branch node.
//
if (depth >= max_shallow_depth) {
// Delay to build tree
ShallowNodeInfo info;
info.left_idx = left_idx;
info.right_idx = right_idx;
info.offset = offset;
shallow_node_infos_.push_back(info);
// Add dummy node.
BVHNode<T> node;
node.axis = -1;
node.flag = -1;
out_nodes->push_back(node);
return offset;
} else {
//
// TODO(LTE): multi-threaded SAH computation, or use simple object median or
// spacial median for shallow tree to speeding up the parallel build.
//
//
// Compute SAH and find best split axis and position
//
int min_cut_axis = 0;
T cut_pos[3] = {0.0, 0.0, 0.0};
BinBuffer bins(options_.bin_size);
ContributeBinBuffer(&bins, bmin, bmax, &indices_.at(0), left_idx, right_idx,
p);
FindCutFromBinBuffer(cut_pos, &min_cut_axis, &bins, bmin, bmax, n,
options_.cost_t_aabb);
// Try all 3 axis until good cut position avaiable.
unsigned int mid_idx = left_idx;
int cut_axis = min_cut_axis;
for (int axis_try = 0; axis_try < 3; axis_try++) {
unsigned int *begin = &indices_[left_idx];
unsigned int *end =
&indices_[right_idx - 1] + 1; // mimics end() iterator.
unsigned int *mid = 0;
// try min_cut_axis first.
cut_axis = (min_cut_axis + axis_try) % 3;
// @fixme { We want something like: std::partition(begin, end,
// pred(cut_axis, cut_pos[cut_axis])); }
pred.Set(cut_axis, cut_pos[cut_axis]);
//
// Split at (cut_axis, cut_pos)
// indices_ will be modified.
//
mid = std::partition(begin, end, pred);
mid_idx = left_idx + static_cast<unsigned int>((mid - begin));
if ((mid_idx == left_idx) || (mid_idx == right_idx)) {
// Can't split well.
// Switch to object median(which may create unoptimized tree, but
// stable)
mid_idx = left_idx + (n >> 1);
// Try another axis if there's axis to try.
} else {
// Found good cut. exit loop.
break;
}
}
BVHNode<T> node;
node.axis = cut_axis;
node.flag = 0; // 0 = branch
out_nodes->push_back(node);
unsigned int left_child_index = 0;
unsigned int right_child_index = 0;
left_child_index = BuildShallowTree(out_nodes, left_idx, mid_idx, depth + 1,
max_shallow_depth, p, pred);
right_child_index = BuildShallowTree(out_nodes, mid_idx, right_idx,
depth + 1, max_shallow_depth, p, pred);
(*out_nodes)[offset].data[0] = left_child_index;
(*out_nodes)[offset].data[1] = right_child_index;
(*out_nodes)[offset].bmin[0] = bmin[0];
(*out_nodes)[offset].bmin[1] = bmin[1];
(*out_nodes)[offset].bmin[2] = bmin[2];
(*out_nodes)[offset].bmax[0] = bmax[0];
(*out_nodes)[offset].bmax[1] = bmax[1];
(*out_nodes)[offset].bmax[2] = bmax[2];
}
stats_.num_branch_nodes++;
return offset;
}
#endif
template <typename T>
template <class P, class Pred>
unsigned int BVHAccel<T>::BuildTree(BVHBuildStatistics *out_stat,
std::vector<BVHNode<T> > *out_nodes,
unsigned int left_idx,
unsigned int right_idx, unsigned int depth,
const P &p, const Pred &pred) {
assert(left_idx <= right_idx);
unsigned int offset = static_cast<unsigned int>(out_nodes->size());
if (out_stat->max_tree_depth < depth) {
out_stat->max_tree_depth = depth;
}
real3<T> bmin, bmax;
if (!bboxes_.empty()) {
GetBoundingBox(&bmin, &bmax, bboxes_, &indices_.at(0), left_idx, right_idx);
} else {
ComputeBoundingBox(&bmin, &bmax, &indices_.at(0), left_idx, right_idx, p);
}
unsigned int n = right_idx - left_idx;
if ((n <= options_.min_leaf_primitives) ||
(depth >= options_.max_tree_depth)) {
// Create leaf node.
BVHNode<T> leaf;
leaf.bmin[0] = bmin[0];
leaf.bmin[1] = bmin[1];
leaf.bmin[2] = bmin[2];
leaf.bmax[0] = bmax[0];
leaf.bmax[1] = bmax[1];
leaf.bmax[2] = bmax[2];
assert(left_idx < std::numeric_limits<unsigned int>::max());
leaf.flag = 1; // leaf
leaf.data[0] = n;
leaf.data[1] = left_idx;
out_nodes->push_back(leaf); // atomic update
out_stat->num_leaf_nodes++;
return offset;
}
//
// Create branch node.
//
//
// Compute SAH and find best split axis and position
//
int min_cut_axis = 0;
T cut_pos[3] = {0.0, 0.0, 0.0};
BinBuffer bins(options_.bin_size);
ContributeBinBuffer(&bins, bmin, bmax, &indices_.at(0), left_idx, right_idx,
p);
FindCutFromBinBuffer(cut_pos, &min_cut_axis, &bins, bmin, bmax, n,
options_.cost_t_aabb);
// Try all 3 axis until good cut position avaiable.
unsigned int mid_idx = left_idx;
int cut_axis = min_cut_axis;
for (int axis_try = 0; axis_try < 3; axis_try++) {
unsigned int *begin = &indices_[left_idx];
unsigned int *end = &indices_[right_idx - 1] + 1; // mimics end() iterator.
unsigned int *mid = 0;
// try min_cut_axis first.
cut_axis = (min_cut_axis + axis_try) % 3;
pred.Set(cut_axis, cut_pos[cut_axis]);
//
// Split at (cut_axis, cut_pos)
// indices_ will be modified.
//
mid = std::partition(begin, end, pred);
mid_idx = left_idx + static_cast<unsigned int>((mid - begin));
if ((mid_idx == left_idx) || (mid_idx == right_idx)) {
// Can't split well.
// Switch to object median(which may create unoptimized tree, but
// stable)
mid_idx = left_idx + (n >> 1);
// Try another axis to find better cut.
} else {
// Found good cut. exit loop.
break;
}
}
BVHNode<T> node;
node.axis = cut_axis;
node.flag = 0; // 0 = branch
out_nodes->push_back(node);
unsigned int left_child_index = 0;
unsigned int right_child_index = 0;
left_child_index =
BuildTree(out_stat, out_nodes, left_idx, mid_idx, depth + 1, p, pred);
right_child_index =
BuildTree(out_stat, out_nodes, mid_idx, right_idx, depth + 1, p, pred);
{
(*out_nodes)[offset].data[0] = left_child_index;
(*out_nodes)[offset].data[1] = right_child_index;
(*out_nodes)[offset].bmin[0] = bmin[0];
(*out_nodes)[offset].bmin[1] = bmin[1];
(*out_nodes)[offset].bmin[2] = bmin[2];
(*out_nodes)[offset].bmax[0] = bmax[0];
(*out_nodes)[offset].bmax[1] = bmax[1];
(*out_nodes)[offset].bmax[2] = bmax[2];
}
out_stat->num_branch_nodes++;
return offset;
}
template <typename T>
template <class P, class Pred>
bool BVHAccel<T>::Build(unsigned int num_primitives, const P &p,
const Pred &pred, const BVHBuildOptions<T> &options) {
options_ = options;
stats_ = BVHBuildStatistics();
nodes_.clear();
bboxes_.clear();
assert(options_.bin_size > 1);
if (num_primitives == 0) {
return false;
}
unsigned int n = num_primitives;
//
// 1. Create triangle indices(this will be permutated in BuildTree)
//
indices_.resize(n);
#if defined(NANORT_USE_CPP11_FEATURE)
{
size_t num_threads = std::min(
size_t(kNANORT_MAX_THREADS),
std::max(size_t(1), size_t(std::thread::hardware_concurrency())));
if (n < num_threads) {
num_threads = n;
}
std::vector<std::thread> workers;
size_t ndiv = n / num_threads;
for (size_t t = 0; t < num_threads; t++) {
workers.emplace_back(std::thread([&, t]() {
size_t si = t * ndiv;
size_t ei = std::min((t + 1) * ndiv, size_t(n));
for (size_t k = si; k < ei; k++) {
indices_[k] = static_cast<unsigned int>(k);
}
}));
}
for (auto &t : workers) {
t.join();
}
}
#else
#ifdef _OPENMP
#pragma omp parallel for
#endif
for (int i = 0; i < static_cast<int>(n); i++) {
indices_[static_cast<size_t>(i)] = static_cast<unsigned int>(i);
}
#endif // !NANORT_USE_CPP11_FEATURE
//
// 2. Compute bounding box(optional).
//
real3<T> bmin, bmax;
if (options.cache_bbox) {
bmin[0] = bmin[1] = bmin[2] = std::numeric_limits<T>::max();
bmax[0] = bmax[1] = bmax[2] = -std::numeric_limits<T>::max();
bboxes_.resize(n);
for (size_t i = 0; i < n; i++) { // for each primitived
unsigned int idx = indices_[i];
BBox<T> bbox;
p.BoundingBox(&(bbox.bmin), &(bbox.bmax), static_cast<unsigned int>(i));
bboxes_[idx] = bbox;
for (int k = 0; k < 3; k++) { // xyz
if (bmin[k] > bbox.bmin[k]) {
bmin[k] = bbox.bmin[k];
}
if (bmax[k] < bbox.bmax[k]) {
bmax[k] = bbox.bmax[k];
}
}
}
} else {
#if defined(NANORT_USE_CPP11_FEATURE)
ComputeBoundingBoxThreaded(&bmin, &bmax, &indices_.at(0), 0, n, p);
#elif defined(_OPENMP)
ComputeBoundingBoxOMP(&bmin, &bmax, &indices_.at(0), 0, n, p);
#else
ComputeBoundingBox(&bmin, &bmax, &indices_.at(0), 0, n, p);
#endif
}
//
// 3. Build tree
//
#if defined(NANORT_ENABLE_PARALLEL_BUILD)
#if defined(NANORT_USE_CPP11_FEATURE)
// Do parallel build for enoughly large dataset.
if (n > options.min_primitives_for_parallel_build) {
BuildShallowTree(&nodes_, 0, n, /* root depth */ 0, options.shallow_depth,
p, pred); // [0, n)
assert(shallow_node_infos_.size() > 0);
// Build deeper tree in parallel
std::vector<std::vector<BVHNode<T> > > local_nodes(
shallow_node_infos_.size());
std::vector<BVHBuildStatistics> local_stats(shallow_node_infos_.size());
size_t num_threads = std::min(
size_t(kNANORT_MAX_THREADS),
std::max(size_t(1), size_t(std::thread::hardware_concurrency())));
if (shallow_node_infos_.size() < num_threads) {
num_threads = shallow_node_infos_.size();
}
std::vector<std::thread> workers;
std::atomic<uint32_t> i(0);
for (size_t t = 0; t < num_threads; t++) {
workers.emplace_back(std::thread([&]() {
uint32_t idx = 0;
while ((idx = (i++)) < shallow_node_infos_.size()) {
// Create thread-local copy of Pred since some mutable variables are
// modified during SAH computation.
const Pred local_pred = pred;
unsigned int left_idx = shallow_node_infos_[size_t(idx)].left_idx;
unsigned int right_idx = shallow_node_infos_[size_t(idx)].right_idx;
BuildTree(&(local_stats[size_t(idx)]), &(local_nodes[size_t(idx)]),
left_idx, right_idx, options.shallow_depth, p, local_pred);
}
}));
}
for (auto &t : workers) {
t.join();
}
// Join local nodes
for (size_t ii = 0; ii < local_nodes.size(); ii++) {
assert(!local_nodes[ii].empty());
size_t offset = nodes_.size();
// Add offset to child index(for branch node).
for (size_t j = 0; j < local_nodes[ii].size(); j++) {
if (local_nodes[ii][j].flag == 0) { // branch
local_nodes[ii][j].data[0] += offset - 1;
local_nodes[ii][j].data[1] += offset - 1;
}
}
// replace
nodes_[shallow_node_infos_[ii].offset] = local_nodes[ii][0];
// Skip root element of the local node.
nodes_.insert(nodes_.end(), local_nodes[ii].begin() + 1,
local_nodes[ii].end());
}
// Join statistics
for (size_t ii = 0; ii < local_nodes.size(); ii++) {
stats_.max_tree_depth =
std::max(stats_.max_tree_depth, local_stats[ii].max_tree_depth);
stats_.num_leaf_nodes += local_stats[ii].num_leaf_nodes;
stats_.num_branch_nodes += local_stats[ii].num_branch_nodes;
}
} else {
// Single thread.
BuildTree(&stats_, &nodes_, 0, n,
/* root depth */ 0, p, pred); // [0, n)
}
#elif defined(_OPENMP)
// Do parallel build for enoughly large dataset.
if (n > options.min_primitives_for_parallel_build) {
BuildShallowTree(&nodes_, 0, n, /* root depth */ 0, options.shallow_depth,
p, pred); // [0, n)
assert(shallow_node_infos_.size() > 0);
// Build deeper tree in parallel
std::vector<std::vector<BVHNode<T> > > local_nodes(
shallow_node_infos_.size());
std::vector<BVHBuildStatistics> local_stats(shallow_node_infos_.size());
#pragma omp parallel for
for (int i = 0; i < static_cast<int>(shallow_node_infos_.size()); i++) {
unsigned int left_idx = shallow_node_infos_[size_t(i)].left_idx;
unsigned int right_idx = shallow_node_infos_[size_t(i)].right_idx;
const Pred local_pred = pred;
BuildTree(&(local_stats[size_t(i)]), &(local_nodes[size_t(i)]), left_idx,
right_idx, options.shallow_depth, p, local_pred);
}
// Join local nodes
for (size_t i = 0; i < local_nodes.size(); i++) {
assert(!local_nodes[size_t(i)].empty());
size_t offset = nodes_.size();
// Add offset to child index(for branch node).
for (size_t j = 0; j < local_nodes[i].size(); j++) {
if (local_nodes[i][j].flag == 0) { // branch
local_nodes[i][j].data[0] += offset - 1;
local_nodes[i][j].data[1] += offset - 1;
}
}
// replace
nodes_[shallow_node_infos_[i].offset] = local_nodes[i][0];
// Skip root element of the local node.
nodes_.insert(nodes_.end(), local_nodes[i].begin() + 1,
local_nodes[i].end());
}
// Join statistics
for (size_t i = 0; i < local_nodes.size(); i++) {
stats_.max_tree_depth =
std::max(stats_.max_tree_depth, local_stats[i].max_tree_depth);
stats_.num_leaf_nodes += local_stats[i].num_leaf_nodes;
stats_.num_branch_nodes += local_stats[i].num_branch_nodes;
}
} else {
// Single thread
BuildTree(&stats_, &nodes_, 0, n,
/* root depth */ 0, p, pred); // [0, n)
}
#else // !NANORT_ENABLE_PARALLEL_BUILD
{
BuildTree(&stats_, &nodes_, 0, n,
/* root depth */ 0, p, pred); // [0, n)
}
#endif
#else // !_OPENMP
// Single thread BVH build
{
BuildTree(&stats_, &nodes_, 0, n,
/* root depth */ 0, p, pred); // [0, n)
}
#endif
return true;
}
template <typename T>
void BVHAccel<T>::Debug() {
for (size_t i = 0; i < indices_.size(); i++) {
printf("index[%d] = %d\n", int(i), int(indices_[i]));
}
for (size_t i = 0; i < nodes_.size(); i++) {
printf("node[%d] : bmin %f, %f, %f, bmax %f, %f, %f\n", int(i),
nodes_[i].bmin[0], nodes_[i].bmin[1], nodes_[i].bmin[1],
nodes_[i].bmax[0], nodes_[i].bmax[1], nodes_[i].bmax[1]);
}
}
#if defined(NANORT_ENABLE_SERIALIZATION)
template <typename T>
bool BVHAccel<T>::Dump(const char *filename) const {
FILE *fp = fopen(filename, "wb");
if (!fp) {
// fprintf(stderr, "[BVHAccel] Cannot write a file: %s\n", filename);
return false;
}
size_t numNodes = nodes_.size();
assert(nodes_.size() > 0);
size_t numIndices = indices_.size();
size_t r = 0;
r = fwrite(&numNodes, sizeof(size_t), 1, fp);
assert(r == 1);
r = fwrite(&nodes_.at(0), sizeof(BVHNode<T>), numNodes, fp);
assert(r == numNodes);
r = fwrite(&numIndices, sizeof(size_t), 1, fp);
assert(r == 1);
r = fwrite(&indices_.at(0), sizeof(unsigned int), numIndices, fp);
assert(r == numIndices);
fclose(fp);
return true;
}
template <typename T>
bool BVHAccel<T>::Dump(FILE *fp) const {
size_t numNodes = nodes_.size();
assert(nodes_.size() > 0);
size_t numIndices = indices_.size();
size_t r = 0;
r = fwrite(&numNodes, sizeof(size_t), 1, fp);
assert(r == 1);
r = fwrite(&nodes_.at(0), sizeof(BVHNode<T>), numNodes, fp);
assert(r == numNodes);
r = fwrite(&numIndices, sizeof(size_t), 1, fp);
assert(r == 1);
r = fwrite(&indices_.at(0), sizeof(unsigned int), numIndices, fp);
assert(r == numIndices);
return true;
}
template <typename T>
bool BVHAccel<T>::Load(const char *filename) {
FILE *fp = fopen(filename, "rb");
if (!fp) {
// fprintf(stderr, "Cannot open file: %s\n", filename);
return false;
}
size_t numNodes;
size_t numIndices;
size_t r = 0;
r = fread(&numNodes, sizeof(size_t), 1, fp);
assert(r == 1);
assert(numNodes > 0);
nodes_.resize(numNodes);
r = fread(&nodes_.at(0), sizeof(BVHNode<T>), numNodes, fp);
assert(r == numNodes);
r = fread(&numIndices, sizeof(size_t), 1, fp);
assert(r == 1);
indices_.resize(numIndices);
r = fread(&indices_.at(0), sizeof(unsigned int), numIndices, fp);
assert(r == numIndices);
fclose(fp);
return true;
}
template <typename T>
bool BVHAccel<T>::Load(FILE *fp) {
size_t numNodes;
size_t numIndices;
size_t r = 0;
r = fread(&numNodes, sizeof(size_t), 1, fp);
assert(r == 1);
assert(numNodes > 0);
nodes_.resize(numNodes);
r = fread(&nodes_.at(0), sizeof(BVHNode<T>), numNodes, fp);
assert(r == numNodes);
r = fread(&numIndices, sizeof(size_t), 1, fp);
assert(r == 1);
indices_.resize(numIndices);
r = fread(&indices_.at(0), sizeof(unsigned int), numIndices, fp);
assert(r == numIndices);
return true;
}
#endif
template <typename T>
inline bool IntersectRayAABB(T *tminOut, // [out]
T *tmaxOut, // [out]
T min_t, T max_t, const T bmin[3], const T bmax[3],
real3<T> ray_org, real3<T> ray_inv_dir,
int ray_dir_sign[3]);
template <>
inline bool IntersectRayAABB<float>(float *tminOut, // [out]
float *tmaxOut, // [out]
float min_t, float max_t,
const float bmin[3], const float bmax[3],
real3<float> ray_org,
real3<float> ray_inv_dir,
int ray_dir_sign[3]) {
float tmin, tmax;
const float min_x = ray_dir_sign[0] ? bmax[0] : bmin[0];
const float min_y = ray_dir_sign[1] ? bmax[1] : bmin[1];
const float min_z = ray_dir_sign[2] ? bmax[2] : bmin[2];
const float max_x = ray_dir_sign[0] ? bmin[0] : bmax[0];
const float max_y = ray_dir_sign[1] ? bmin[1] : bmax[1];
const float max_z = ray_dir_sign[2] ? bmin[2] : bmax[2];
// X
const float tmin_x = (min_x - ray_org[0]) * ray_inv_dir[0];
// MaxMult robust BVH traversal(up to 4 ulp).
// 1.0000000000000004 for double precision.
const float tmax_x = (max_x - ray_org[0]) * ray_inv_dir[0] * 1.00000024f;
// Y
const float tmin_y = (min_y - ray_org[1]) * ray_inv_dir[1];
const float tmax_y = (max_y - ray_org[1]) * ray_inv_dir[1] * 1.00000024f;
// Z
const float tmin_z = (min_z - ray_org[2]) * ray_inv_dir[2];
const float tmax_z = (max_z - ray_org[2]) * ray_inv_dir[2] * 1.00000024f;
tmin = safemax(tmin_z, safemax(tmin_y, safemax(tmin_x, min_t)));
tmax = safemin(tmax_z, safemin(tmax_y, safemin(tmax_x, max_t)));
if (tmin <= tmax) {
(*tminOut) = tmin;
(*tmaxOut) = tmax;
return true;
}
return false; // no hit
}
template <>
inline bool IntersectRayAABB<double>(double *tminOut, // [out]
double *tmaxOut, // [out]
double min_t, double max_t,
const double bmin[3], const double bmax[3],
real3<double> ray_org,
real3<double> ray_inv_dir,
int ray_dir_sign[3]) {
double tmin, tmax;
const double min_x = ray_dir_sign[0] ? bmax[0] : bmin[0];
const double min_y = ray_dir_sign[1] ? bmax[1] : bmin[1];
const double min_z = ray_dir_sign[2] ? bmax[2] : bmin[2];
const double max_x = ray_dir_sign[0] ? bmin[0] : bmax[0];
const double max_y = ray_dir_sign[1] ? bmin[1] : bmax[1];
const double max_z = ray_dir_sign[2] ? bmin[2] : bmax[2];
// X
const double tmin_x = (min_x - ray_org[0]) * ray_inv_dir[0];
// MaxMult robust BVH traversal(up to 4 ulp).
const double tmax_x =
(max_x - ray_org[0]) * ray_inv_dir[0] * 1.0000000000000004;
// Y
const double tmin_y = (min_y - ray_org[1]) * ray_inv_dir[1];
const double tmax_y =
(max_y - ray_org[1]) * ray_inv_dir[1] * 1.0000000000000004;
// Z
const double tmin_z = (min_z - ray_org[2]) * ray_inv_dir[2];
const double tmax_z =
(max_z - ray_org[2]) * ray_inv_dir[2] * 1.0000000000000004;
tmin = safemax(tmin_z, safemax(tmin_y, safemax(tmin_x, min_t)));
tmax = safemin(tmax_z, safemin(tmax_y, safemin(tmax_x, max_t)));
if (tmin <= tmax) {
(*tminOut) = tmin;
(*tmaxOut) = tmax;
return true;
}
return false; // no hit
}
template <typename T>
template <class I>
inline bool BVHAccel<T>::TestLeafNode(const BVHNode<T> &node, const Ray<T> &ray,
const I &intersector) const {
bool hit = false;
unsigned int num_primitives = node.data[0];
unsigned int offset = node.data[1];
T t = intersector.GetT(); // current hit distance
real3<T> ray_org;
ray_org[0] = ray.org[0];
ray_org[1] = ray.org[1];
ray_org[2] = ray.org[2];
real3<T> ray_dir;
ray_dir[0] = ray.dir[0];
ray_dir[1] = ray.dir[1];
ray_dir[2] = ray.dir[2];
for (unsigned int i = 0; i < num_primitives; i++) {
unsigned int prim_idx = indices_[i + offset];
T local_t = t;
if (intersector.Intersect(&local_t, prim_idx)) {
// Update isect state
t = local_t;
intersector.Update(t, prim_idx);
hit = true;
}
}
return hit;
}
#if 0 // TODO(LTE): Implement
template <typename T> template<class I, class H, class Comp>
bool BVHAccel<T>::MultiHitTestLeafNode(
std::priority_queue<H, std::vector<H>, Comp> *isect_pq,
int max_intersections,
const BVHNode<T> &node,
const Ray<T> &ray,
const I &intersector) const {
bool hit = false;
unsigned int num_primitives = node.data[0];
unsigned int offset = node.data[1];
T t = std::numeric_limits<T>::max();
if (isect_pq->size() >= static_cast<size_t>(max_intersections)) {
t = isect_pq->top().t; // current furthest hit distance
}
real3<T> ray_org;
ray_org[0] = ray.org[0];
ray_org[1] = ray.org[1];
ray_org[2] = ray.org[2];
real3<T> ray_dir;
ray_dir[0] = ray.dir[0];
ray_dir[1] = ray.dir[1];
ray_dir[2] = ray.dir[2];
for (unsigned int i = 0; i < num_primitives; i++) {
unsigned int prim_idx = indices_[i + offset];
T local_t = t, u = 0.0f, v = 0.0f;
if (intersector.Intersect(&local_t, &u, &v, prim_idx)) {
// Update isect state
if ((local_t > ray.min_t)) {
if (isect_pq->size() < static_cast<size_t>(max_intersections)) {
H isect;
t = local_t;
isect.t = t;
isect.u = u;
isect.v = v;
isect.prim_id = prim_idx;
isect_pq->push(isect);
// Update t to furthest distance.
t = ray.max_t;
hit = true;
} else {
if (local_t < isect_pq->top().t) {
// delete furthest intersection and add new intersection.
isect_pq->pop();
H hit;
hit.t = local_t;
hit.u = u;
hit.v = v;
hit.prim_id = prim_idx;
isect_pq->push(hit);
// Update furthest hit distance
t = isect_pq->top().t;
hit = true;
}
}
}
}
}
return hit;
}
#endif
template <typename T>
template <class I, class H>
bool BVHAccel<T>::Traverse(const Ray<T> &ray, const I &intersector, H *isect,
const BVHTraceOptions &options) const {
const int kMaxStackDepth = 512;
(void)kMaxStackDepth;
T hit_t = ray.max_t;
int node_stack_index = 0;
unsigned int node_stack[512];
node_stack[0] = 0;
// Init isect info as no hit
intersector.Update(hit_t, static_cast<unsigned int>(-1));
intersector.PrepareTraversal(ray, options);
int dir_sign[3];
dir_sign[0] = ray.dir[0] < static_cast<T>(0.0) ? 1 : 0;
dir_sign[1] = ray.dir[1] < static_cast<T>(0.0) ? 1 : 0;
dir_sign[2] = ray.dir[2] < static_cast<T>(0.0) ? 1 : 0;
real3<T> ray_inv_dir;
real3<T> ray_dir;
ray_dir[0] = ray.dir[0];
ray_dir[1] = ray.dir[1];
ray_dir[2] = ray.dir[2];
ray_inv_dir = vsafe_inverse(ray_dir);
real3<T> ray_org;
ray_org[0] = ray.org[0];
ray_org[1] = ray.org[1];
ray_org[2] = ray.org[2];
T min_t = std::numeric_limits<T>::max();
T max_t = -std::numeric_limits<T>::max();
while (node_stack_index >= 0) {
unsigned int index = node_stack[node_stack_index];
const BVHNode<T> &node = nodes_[index];
node_stack_index--;
bool hit = IntersectRayAABB(&min_t, &max_t, ray.min_t, hit_t, node.bmin,
node.bmax, ray_org, ray_inv_dir, dir_sign);
if (node.flag == 0) { // branch node
if (hit) {
int order_near = dir_sign[node.axis];
int order_far = 1 - order_near;
// Traverse near first.
node_stack[++node_stack_index] = node.data[order_far];
node_stack[++node_stack_index] = node.data[order_near];
}
} else { // leaf node
if (hit) {
if (TestLeafNode(node, ray, intersector)) {
hit_t = intersector.GetT();
}
}
}
}
assert(node_stack_index < kMaxStackDepth);
bool hit = (intersector.GetT() < ray.max_t);
intersector.PostTraversal(ray, hit, isect);
return hit;
}
template <typename T>
template <class I>
inline bool BVHAccel<T>::TestLeafNodeIntersections(
const BVHNode<T> &node, const Ray<T> &ray, const int max_intersections,
const I &intersector,
std::priority_queue<NodeHit<T>, std::vector<NodeHit<T> >,
NodeHitComparator<T> > *isect_pq) const {
bool hit = false;
unsigned int num_primitives = node.data[0];
unsigned int offset = node.data[1];
real3<T> ray_org;
ray_org[0] = ray.org[0];
ray_org[1] = ray.org[1];
ray_org[2] = ray.org[2];
real3<T> ray_dir;
ray_dir[0] = ray.dir[0];
ray_dir[1] = ray.dir[1];
ray_dir[2] = ray.dir[2];
intersector.PrepareTraversal(ray);
for (unsigned int i = 0; i < num_primitives; i++) {
unsigned int prim_idx = indices_[i + offset];
T min_t, max_t;
if (intersector.Intersect(&min_t, &max_t, prim_idx)) {
// Always add to isect lists.
NodeHit<T> isect;
isect.t_min = min_t;
isect.t_max = max_t;
isect.node_id = prim_idx;
if (isect_pq->size() < static_cast<size_t>(max_intersections)) {
isect_pq->push(isect);
} else {
if (min_t < isect_pq->top().t_min) {
// delete the furthest intersection and add a new intersection.
isect_pq->pop();
isect_pq->push(isect);
}
}
}
}
return hit;
}
template <typename T>
template <class I>
bool BVHAccel<T>::ListNodeIntersections(
const Ray<T> &ray, int max_intersections, const I &intersector,
StackVector<NodeHit<T>, 128> *hits) const {
const int kMaxStackDepth = 512;
T hit_t = ray.max_t;
int node_stack_index = 0;
unsigned int node_stack[512];
node_stack[0] = 0;
// Stores furthest intersection at top
std::priority_queue<NodeHit<T>, std::vector<NodeHit<T> >,
NodeHitComparator<T> >
isect_pq;
(*hits)->clear();
int dir_sign[3];
dir_sign[0] = ray.dir[0] < static_cast<T>(0.0) ? 1 : 0;
dir_sign[1] = ray.dir[1] < static_cast<T>(0.0) ? 1 : 0;
dir_sign[2] = ray.dir[2] < static_cast<T>(0.0) ? 1 : 0;
real3<T> ray_inv_dir;
real3<T> ray_dir;
ray_dir[0] = ray.dir[0];
ray_dir[1] = ray.dir[1];
ray_dir[2] = ray.dir[2];
ray_inv_dir = vsafe_inverse(ray_dir);
real3<T> ray_org;
ray_org[0] = ray.org[0];
ray_org[1] = ray.org[1];
ray_org[2] = ray.org[2];
T min_t, max_t;
while (node_stack_index >= 0) {
unsigned int index = node_stack[node_stack_index];
const BVHNode<T> &node = nodes_[static_cast<size_t>(index)];
node_stack_index--;
bool hit = IntersectRayAABB(&min_t, &max_t, ray.min_t, hit_t, node.bmin,
node.bmax, ray_org, ray_inv_dir, dir_sign);
if (node.flag == 0) { // branch node
if (hit) {
int order_near = dir_sign[node.axis];
int order_far = 1 - order_near;
// Traverse near first.
node_stack[++node_stack_index] = node.data[order_far];
node_stack[++node_stack_index] = node.data[order_near];
}
} else { // leaf node
if (hit) {
TestLeafNodeIntersections(node, ray, max_intersections, intersector,
&isect_pq);
}
}
}
assert(node_stack_index < kMaxStackDepth);
(void)kMaxStackDepth;
if (!isect_pq.empty()) {
// Store intesection in reverse order(make it frontmost order)
size_t n = isect_pq.size();
(*hits)->resize(n);
for (size_t i = 0; i < n; i++) {
const NodeHit<T> &isect = isect_pq.top();
(*hits)[n - i - 1] = isect;
isect_pq.pop();
}
return true;
}
return false;
}
#if 0 // TODO(LTE): Implement
template <typename T> template<class I, class H, class Comp>
bool BVHAccel<T>::MultiHitTraverse(const Ray<T> &ray,
int max_intersections,
const I &intersector,
StackVector<H, 128> *hits,
const BVHTraceOptions& options) const {
const int kMaxStackDepth = 512;
T hit_t = ray.max_t;
int node_stack_index = 0;
unsigned int node_stack[512];
node_stack[0] = 0;
// Stores furthest intersection at top
std::priority_queue<H, std::vector<H>, Comp> isect_pq;
(*hits)->clear();
// Init isect info as no hit
intersector.Update(hit_t, static_cast<unsigned int>(-1));
intersector.PrepareTraversal(ray, options);
int dir_sign[3];
dir_sign[0] = ray.dir[0] < static_cast<T>(0.0) ? static_cast<T>(1) : static_cast<T>(0);
dir_sign[1] = ray.dir[1] < static_cast<T>(0.0) ? static_cast<T>(1) : static_cast<T>(0);
dir_sign[2] = ray.dir[2] < static_cast<T>(0.0) ? static_cast<T>(1) : static_cast<T>(0);
real3<T> ray_inv_dir;
real3<T> ray_dir;
ray_dir[0] = ray.dir[0];
ray_dir[1] = ray.dir[1];
ray_dir[2] = ray.dir[2];
ray_inv_dir = vsafe_inverse(ray_dir);
real3<T> ray_org;
ray_org[0] = ray.org[0];
ray_org[1] = ray.org[1];
ray_org[2] = ray.org[2];
T min_t, max_t;
while (node_stack_index >= 0) {
unsigned int index = node_stack[node_stack_index];
const BVHNode<T> &node = nodes_[static_cast<size_t>(index)];
node_stack_index--;
bool hit = IntersectRayAABB(&min_t, &max_t, ray.min_t, hit_t, node.bmin,
node.bmax, ray_org, ray_inv_dir, dir_sign);
if (node.flag == 0) { // branch node
if (hit) {
int order_near = dir_sign[node.axis];
int order_far = 1 - order_near;
// Traverse near first.
node_stack[++node_stack_index] = node.data[order_far];
node_stack[++node_stack_index] = node.data[order_near];
}
} else { // leaf node
if (hit) {
if (MultiHitTestLeafNode(&isect_pq, max_intersections, node, ray, intersector)) {
// Only update `hit_t` when queue is full.
if (isect_pq.size() >= static_cast<size_t>(max_intersections)) {
hit_t = isect_pq.top().t;
}
}
}
}
}
assert(node_stack_index < kMaxStackDepth);
(void)kMaxStackDepth;
if (!isect_pq.empty()) {
// Store intesection in reverse order(make it frontmost order)
size_t n = isect_pq.size();
(*hits)->resize(n);
for (size_t i = 0; i < n; i++) {
const H &isect = isect_pq.top();
(*hits)[n - i - 1] = isect;
isect_pq.pop();
}
return true;
}
return false;
}
#endif
#ifdef __clang__
#pragma clang diagnostic pop
#endif
} // namespace nanort
#endif // NANORT_H_
|
convolution_1x1_int8.h | // BUG1989 is pleased to support the open source community by supporting ncnn available.
//
// author:BUG1989 (https://github.com/BUG1989/) Long-term support.
// author:FuGuangping (https://github.com/fu1899) Implemented the first version of INT8 quantization on ARMv7.
//
// 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
//
// 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.
#if __aarch64__
static void conv1x1s1_sgemm_transform_kernel_int8_neon(const Mat& _kernel, Mat& kernel_tm, int inch, int outch)
{
kernel_tm.create(outch, inch, (size_t)1u);
const int8_t *a = _kernel;
int8_t *sa = kernel_tm;
reorder_a((int8_t*)a, sa, outch, inch, inch);
}
static void conv1x1s1_sgemm_int8_neon(const Mat& bottom_blob, Mat& top_blob, const Mat& kernel, const Option& opt)
{
const size_t n = bottom_blob.w * bottom_blob.h;
const size_t k = bottom_blob.c;
const size_t m = top_blob.c;
ncnn::Mat bottom_tm(k * n, (size_t)1u, opt.workspace_allocator);
{
const int8_t* pData = bottom_blob;
int8_t *pReorder = bottom_tm;
reorder_b(pData, pReorder, k, n, bottom_blob.cstep);
}
// GEMM
int32_t *pc = top_blob;
const int8_t *pa = kernel;
const int8_t *pb = bottom_tm;
const size_t ldc = top_blob.cstep;
int8kernel((void*)pc, pa, pb, m, k, n, ldc, nullptr, nullptr, opt);
}
static void conv1x1s1_sgemm_int8_requant_neon(const Mat &bottom_blob, Mat &top_blob, const Mat &kernel, const Mat &_bias, std::vector<float> scales_requant, const Option& opt)
{
const size_t n = bottom_blob.w * bottom_blob.h;
const size_t k = bottom_blob.c;
const size_t m = top_blob.c;
ncnn::Mat scales_tm(m);
ncnn::Mat bias_tm(m);
float* scales = scales_tm;
const float* bias = _bias;
// outptr0[0] = float2int8(((float)sum0 * scale_requant_in + bias0) * scale_requant_out);
// the equation could convert to:
// out = float2int8( (float)sum * (scale_requant_in * scale_requant_out) + (bias * scale_requant_out) )
// prebuild the list of (scales_requant_in*scale_requant_out)
for (size_t i = 0; i < m; ++i)
{
scales_tm[i] = scales_requant[2*i] * scales_requant[2*i + 1];
}
if (!_bias.empty())
{
for (size_t i = 0; i < m; ++i)
{
bias_tm[i] = bias[i] * scales_requant[2*i + 1];
}
bias = bias_tm;
}
ncnn::Mat bottom_tm(k * n, (size_t)1u, opt.workspace_allocator);
{
const int8_t *pData = bottom_blob;
int8_t *pReorder = bottom_tm;
reorder_b(pData, pReorder, k, n, bottom_blob.cstep);
}
// GEMM
int8_t *pc = top_blob;
const int8_t *pa = kernel;
const int8_t *pb = bottom_tm;
const size_t ldc = top_blob.cstep;
int8kernel((void*)pc, pa, pb, m, k, n, ldc, scales, (float*)bias, opt);
}
#else
static inline signed char float2int8(float v)
{
int int32 = round(v);
if (int32 > 127) return 127;
if (int32 < -127) return -127;
return (signed char)int32;
}
static void conv1x1s1_sgemm_transform_kernel_int8_neon(const Mat& _kernel, Mat& kernel_tm, int inch, int outch)
{
const signed char* kernel = _kernel;
kernel_tm.create(4*4, inch/4 + inch%4, outch/4 + outch%4, (size_t)1u);
int p = 0;
for (; p+3<outch; p+=4)
{
const signed char* kernel0 = kernel + (p+0)*inch;
const signed char* kernel1 = kernel + (p+1)*inch;
const signed char* kernel2 = kernel + (p+2)*inch;
const signed char* kernel3 = kernel + (p+3)*inch;
signed char* ktmp = kernel_tm.channel(p/4);
for (int q=0; q<inch; q++)
{
// kernel0...3 0
ktmp[0] = kernel0[0];
ktmp[1] = kernel1[0];
ktmp[2] = kernel2[0];
ktmp[3] = kernel3[0];
ktmp += 4;
kernel0 += 1;
kernel1 += 1;
kernel2 += 1;
kernel3 += 1;
}
}
for (; p<outch; p++)
{
const signed char* kernel0 = kernel + p*inch;
signed char* ktmp = kernel_tm.channel(p/4 + p%4);
for (int q=0; q<inch; q++)
{
ktmp[0] = kernel0[0];
ktmp++;
kernel0++;
}
}
}
/*
* Convolution 1x1 quantized with sgemm int8
*/
static void conv1x1s1_sgemm_int8_neon(const Mat& bottom_blob, Mat& top_blob, const Mat& kernel, const Option& opt)
{
int w = bottom_blob.w;
int h = bottom_blob.h;
int inch = bottom_blob.c;
int outch = top_blob.c;
const int size = w * h;
// interleave
Mat tmp(8*4, inch/4+inch%4, size/8 + (size%8)/4 + size%4, 1u, opt.workspace_allocator);
{
int nn_size = size >> 3;
int remain_size_start = nn_size << 3;
#pragma omp parallel for num_threads(opt.num_threads)
for (int ii=0; ii<nn_size; ii++)
{
int i = ii * 8;
const signed char* img0 = bottom_blob.channel(0);
img0 += i;
signed char* tmpptr = tmp.channel(i/8);
for (int q=0; q<inch; q++)
{
#if __ARM_NEON
asm volatile(
"pld [%0, #64] \n"
"vld1.s8 {d0}, [%0] \n"
"vst1.s8 {d0}, [%1]! \n"
: "=r"(img0), // %0
"=r"(tmpptr) // %1
: "0"(img0),
"1"(tmpptr)
: "memory", "d0"
);
img0 += bottom_blob.cstep;
#else
tmpptr[0] = img0[0];
tmpptr[1] = img0[1];
tmpptr[2] = img0[2];
tmpptr[3] = img0[3];
tmpptr[4] = img0[4];
tmpptr[5] = img0[5];
tmpptr[6] = img0[6];
tmpptr[7] = img0[7];
tmpptr += 8;
img0 += bottom_blob.cstep;
#endif // __ARM_NEON
}
}
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;
const signed char* img0 = bottom_blob.channel(0);
img0 += i;
signed char* tmpptr = tmp.channel(i/8 + (i%8)/4);
for (int q=0; q<inch; q++)
{
tmpptr[0] = img0[0];
tmpptr[1] = img0[1];
tmpptr[2] = img0[2];
tmpptr[3] = img0[3];
tmpptr += 4;
img0 += bottom_blob.cstep;
}
}
remain_size_start += nn_size << 2;
#pragma omp parallel for num_threads(opt.num_threads)
for (int i=remain_size_start; i<size; i++)
{
const signed char* img0 = bottom_blob.channel(0);
img0 += i;
signed char* tmpptr = tmp.channel(i/8 + (i%8)/4 + i%4);
for (int q=0; q<inch; q++)
{
tmpptr[0] = img0[0];
tmpptr++;
img0 += bottom_blob.cstep;
}
}
}
// sgemm process
int nn_outch = 0;
int remain_outch_start = 0;
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;
int* outptr0 = top_blob.channel(p);
int* outptr1 = top_blob.channel(p+1);
int* outptr2 = top_blob.channel(p+2);
int* outptr3 = top_blob.channel(p+3);
int i = 0;
for (; i+7<size; i+=8)
{
const signed char* tmpptr = tmp.channel(i/8);
const signed char* kptr = kernel.channel(p/4);
#if __ARM_NEON
asm volatile(
// inch loop
"vmov.s32 q6, #0 \n"
"vmov.s32 q7, #0 \n"
"vmov.s32 q8, #0 \n"
"vmov.s32 q9, #0 \n"
"vmov.s32 q10, #0 \n"
"vmov.s32 q11, #0 \n"
"vmov.s32 q12, #0 \n"
"vmov.s32 q13, #0 \n"
"lsr r4, %12, #2 \n"// r4 = nn = inch >> 2
"cmp r4, #0 \n"
"beq 1f \n"
"0: \n"// for(; nn != 0; nn--)
"pld [%4, #128] \n"
"vld1.s8 {d4-d7}, [%4]! \n"// tmpr a00-a07,a10-a17,a20-a27,a30-a37 a(inch)(data)
"vmovl.s8 q5, d7 \n"// a30-a37
"vmovl.s8 q4, d6 \n"// a20-a27
"vmovl.s8 q3, d5 \n"// a10-a17
"vmovl.s8 q2, d4 \n"// a00-a07
"vld1.s8 {d0-d1}, [%5]! \n"// kptr k00-k30,k01-k31,k02-k32,k03-k33 k(outch)(inch)
"vmovl.s8 q1, d1 \n"// k02-k32,k03-k33
"vmovl.s8 q0, d0 \n"// k00-k30,k01-k31
"vmlal.s16 q6, d4, d0[0] \n"// sum0 = (a00-a07) * k00
"vmlal.s16 q7, d5, d0[0] \n"
"vmlal.s16 q8, d4, d0[1] \n"// sum1 = (a00-a07) * k10
"vmlal.s16 q9, d5, d0[1] \n"
"vmlal.s16 q10, d4, d0[2] \n"// sum2 = (a00-a07) * k20
"vmlal.s16 q11, d5, d0[2] \n"
"vmlal.s16 q12, d4, d0[3] \n"// sum3 = (a00-a07) * k30
"vmlal.s16 q13, d5, d0[3] \n"
"vmlal.s16 q6, d6, d1[0] \n"// sum0 += (a10-a17) * k01
"vmlal.s16 q7, d7, d1[0] \n"
"vmlal.s16 q8, d6, d1[1] \n"// sum1 += (a10-a17) * k11
"vmlal.s16 q9, d7, d1[1] \n"
"vmlal.s16 q10, d6, d1[2] \n"// sum2 += (a10-a17) * k21
"vmlal.s16 q11, d7, d1[2] \n"
"vmlal.s16 q12, d6, d1[3] \n"// sum3 += (a10-a17) * k31
"vmlal.s16 q13, d7, d1[3] \n"
"vmlal.s16 q6, d8, d2[0] \n"// sum0 += (a20-a27) * k02
"vmlal.s16 q7, d9, d2[0] \n"
"vmlal.s16 q8, d8, d2[1] \n"// sum1 += (a20-a27) * k12
"vmlal.s16 q9, d9, d2[1] \n"
"vmlal.s16 q10, d8, d2[2] \n"// sum2 += (a20-a27) * k22
"vmlal.s16 q11, d9, d2[2] \n"
"vmlal.s16 q12, d8, d2[3] \n"// sum3 += (a20-a27) * k32
"vmlal.s16 q13, d9, d2[3] \n"
"vmlal.s16 q6, d10, d3[0] \n"// sum0 += (a30-a37) * k03
"vmlal.s16 q7, d11, d3[0] \n"
"vmlal.s16 q8, d10, d3[1] \n"// sum1 += (a30-a37) * k13
"vmlal.s16 q9, d11, d3[1] \n"
"vmlal.s16 q10, d10, d3[2] \n"// sum2 += (a30-a37) * k23
"vmlal.s16 q11, d11, d3[2] \n"
"vmlal.s16 q12, d10, d3[3] \n"// sum3 += (a30-a37) * k33
"vmlal.s16 q13, d11, d3[3] \n"
"subs r4, r4, #1 \n"
"bne 0b \n"// end for
"1: \n"
// remain loop
"and r4, %12, #3 \n"// r4 = remain = inch & 3
"cmp r4, #0 \n"
"beq 3f \n"
"2: \n"// for(; remain != 0; remain--)
"vld1.s8 {d2}, [%4]! \n"// tmpr a00-a07 a(inch)(data)
"vld1.s8 {d0}, [%5] \n"// kptr k00-k30 k(outch)(inch)
"vmovl.s8 q1, d2 \n"
"vmovl.s8 q0, d0 \n"
"add %5, #4 \n"
"vmlal.s16 q6, d2, d0[0] \n"// sum0 += (a00-a07) * k00
"vmlal.s16 q7, d3, d0[0] \n"
"vmlal.s16 q8, d2, d0[1] \n"// sum1 += (a00-a07) * k10
"vmlal.s16 q9, d3, d0[1] \n"
"vmlal.s16 q10, d2, d0[2] \n"// sum2 += (a00-a07) * k20
"vmlal.s16 q11, d3, d0[2] \n"
"vmlal.s16 q12, d2, d0[3] \n"// sum3 += (a00-a07) * k30
"vmlal.s16 q13, d3, d0[3] \n"
"subs r4, r4, #1 \n"
"bne 2b \n"
"3: \n"// store the result to memory
"vst1.s32 {d12-d15}, [%0]! \n"
"vst1.s32 {d16-d19}, [%1]! \n"
"vst1.s32 {d20-d23}, [%2]! \n"
"vst1.s32 {d24-d27}, [%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"(inch) // %12
: "cc", "memory", "r4", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15"
);
#else
int sum0_0 = 0;
int sum0_1 = 0;
int sum0_2 = 0;
int sum0_3 = 0;
int sum0_4 = 0;
int sum0_5 = 0;
int sum0_6 = 0;
int sum0_7 = 0;
int sum1_0 = 0;
int sum1_1 = 0;
int sum1_2 = 0;
int sum1_3 = 0;
int sum1_4 = 0;
int sum1_5 = 0;
int sum1_6 = 0;
int sum1_7 = 0;
int sum2_0 = 0;
int sum2_1 = 0;
int sum2_2 = 0;
int sum2_3 = 0;
int sum2_4 = 0;
int sum2_5 = 0;
int sum2_6 = 0;
int sum2_7 = 0;
int sum3_0 = 0;
int sum3_1 = 0;
int sum3_2 = 0;
int sum3_3 = 0;
int sum3_4 = 0;
int sum3_5 = 0;
int sum3_6 = 0;
int sum3_7 = 0;
for (int q=0; q<inch; q++)
{
sum0_0 += tmpptr[0] * kptr[0];
sum0_1 += tmpptr[1] * kptr[0];
sum0_2 += tmpptr[2] * kptr[0];
sum0_3 += tmpptr[3] * kptr[0];
sum0_4 += tmpptr[4] * kptr[0];
sum0_5 += tmpptr[5] * kptr[0];
sum0_6 += tmpptr[6] * kptr[0];
sum0_7 += tmpptr[7] * kptr[0];
sum1_0 += tmpptr[0] * kptr[1];
sum1_1 += tmpptr[1] * kptr[1];
sum1_2 += tmpptr[2] * kptr[1];
sum1_3 += tmpptr[3] * kptr[1];
sum1_4 += tmpptr[4] * kptr[1];
sum1_5 += tmpptr[5] * kptr[1];
sum1_6 += tmpptr[6] * kptr[1];
sum1_7 += tmpptr[7] * kptr[1];
sum2_0 += tmpptr[0] * kptr[2];
sum2_1 += tmpptr[1] * kptr[2];
sum2_2 += tmpptr[2] * kptr[2];
sum2_3 += tmpptr[3] * kptr[2];
sum2_4 += tmpptr[4] * kptr[2];
sum2_5 += tmpptr[5] * kptr[2];
sum2_6 += tmpptr[6] * kptr[2];
sum2_7 += tmpptr[7] * kptr[2];
sum3_0 += tmpptr[0] * kptr[3];
sum3_1 += tmpptr[1] * kptr[3];
sum3_2 += tmpptr[2] * kptr[3];
sum3_3 += tmpptr[3] * kptr[3];
sum3_4 += tmpptr[4] * kptr[3];
sum3_5 += tmpptr[5] * kptr[3];
sum3_6 += tmpptr[6] * kptr[3];
sum3_7 += tmpptr[7] * kptr[3];
tmpptr += 8;
kptr += 4;
}
outptr0[0] = sum0_0;
outptr0[1] = sum0_1;
outptr0[2] = sum0_2;
outptr0[3] = sum0_3;
outptr0[4] = sum0_4;
outptr0[5] = sum0_5;
outptr0[6] = sum0_6;
outptr0[7] = sum0_7;
outptr1[0] = sum1_0;
outptr1[1] = sum1_1;
outptr1[2] = sum1_2;
outptr1[3] = sum1_3;
outptr1[4] = sum1_4;
outptr1[5] = sum1_5;
outptr1[6] = sum1_6;
outptr1[7] = sum1_7;
outptr2[0] = sum2_0;
outptr2[1] = sum2_1;
outptr2[2] = sum2_2;
outptr2[3] = sum2_3;
outptr2[4] = sum2_4;
outptr2[5] = sum2_5;
outptr2[6] = sum2_6;
outptr2[7] = sum2_7;
outptr3[0] = sum3_0;
outptr3[1] = sum3_1;
outptr3[2] = sum3_2;
outptr3[3] = sum3_3;
outptr3[4] = sum3_4;
outptr3[5] = sum3_5;
outptr3[6] = sum3_6;
outptr3[7] = sum3_7;
outptr0 += 8;
outptr1 += 8;
outptr2 += 8;
outptr3 += 8;
#endif // __ARM_NEON
}
for (; i+3<size; i+=4)
{
const signed char* tmpptr = tmp.channel(i/8 + (i%8)/4);
const signed char* kptr = kernel.channel(p/4);
#if __ARM_NEON
asm volatile(
// inch loop
"vmov.s32 q6, #0 \n"
"vmov.s32 q7, #0 \n"
"vmov.s32 q8, #0 \n"
"vmov.s32 q9, #0 \n"
"lsr r4, %12, #2 \n"// r4 = nn = inch >> 2
"cmp r4, #0 \n"
"beq 1f \n"
"0: \n"// for(; nn != 0; nn--)
"pld [%4, #128] \n"
"vld1.s8 {d4-d5}, [%4]! \n"// tmpr a00-a03,a10-a13,a20-a23,a30-a33 a(inch)(data)
"vmovl.s8 q3, d5 \n"// a20-a23,a30-a33
"vmovl.s8 q2, d4 \n"// a00-a04,a10-a14
"vld1.s8 {d0-d1}, [%5]! \n"// kptr k00-k30,k01-k31,k02-k32,k03-k33 k(outch)(inch)
"vmovl.s8 q1, d1 \n"// k02-k32,k03-k33
"vmovl.s8 q0, d0 \n"// k00-k30,k01-k31
"vmlal.s16 q6, d4, d0[0] \n"// sum0 = (a00-a03) * k00
"vmlal.s16 q7, d4, d0[1] \n"// sum1 = (a00-a03) * k10
"vmlal.s16 q8, d4, d0[2] \n"// sum2 = (a00-a03) * k20
"vmlal.s16 q9, d4, d0[3] \n"// sum3 = (a00-a03) * k30
"vmlal.s16 q6, d5, d1[0] \n"// sum0 += (a10-a13) * k01
"vmlal.s16 q7, d5, d1[1] \n"// sum1 += (a10-a13) * k11
"vmlal.s16 q8, d5, d1[2] \n"// sum2 += (a10-a13) * k21
"vmlal.s16 q9, d5, d1[3] \n"// sum3 += (a10-a13) * k31
"vmlal.s16 q6, d6, d2[0] \n"// sum0 += (a20-a23) * k02
"vmlal.s16 q7, d6, d2[1] \n"// sum1 += (a20-a23) * k12
"vmlal.s16 q8, d6, d2[2] \n"// sum2 += (a20-a23) * k22
"vmlal.s16 q9, d6, d2[3] \n"// sum3 += (a20-a23) * k32
"vmlal.s16 q6, d7, d3[0] \n"// sum0 += (a30-a33) * k03
"vmlal.s16 q7, d7, d3[1] \n"// sum1 += (a30-a33) * k13
"vmlal.s16 q8, d7, d3[2] \n"// sum2 += (a30-a33) * k23
"vmlal.s16 q9, d7, d3[3] \n"// sum3 += (a30-a33) * k33
"subs r4, r4, #1 \n"
"bne 0b \n"// end for
"1: \n"
// remain loop
"and r4, %12, #3 \n"// r4 = remain = inch & 3
"cmp r4, #0 \n"
"beq 3f \n"
"2: \n"// for(; remain != 0; remain--)
"vld1.s8 {d2}, [%4] \n"// tmpr a00-a03 a(inch)(data)
"vld1.s8 {d0}, [%5] \n"// kptr k00-k30 k(outch)(inch)
"vmovl.s8 q1, d2 \n"
"vmovl.s8 q0, d0 \n"
"add %4, #4 \n"
"add %5, #4 \n"
"vmlal.s16 q6, d2, d0[0] \n"// sum0 += (a00-a03) * k00
"vmlal.s16 q7, d2, d0[1] \n"// sum1 += (a00-a03) * k10
"vmlal.s16 q8, d2, d0[2] \n"// sum2 += (a00-a03) * k20
"vmlal.s16 q9, d2, d0[3] \n"// sum3 += (a00-a03) * k30
"subs r4, r4, #1 \n"
"bne 2b \n"
"3: \n"// store the result to memory
"vst1.s32 {d12-d13}, [%0]! \n"
"vst1.s32 {d14-d15}, [%1]! \n"
"vst1.s32 {d16-d17}, [%2]! \n"
"vst1.s32 {d18-d19}, [%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"(inch) // %12
: "cc", "memory", "r4", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15"
);
#else
int sum0_0 = 0;
int sum0_1 = 0;
int sum0_2 = 0;
int sum0_3 = 0;
int sum1_0 = 0;
int sum1_1 = 0;
int sum1_2 = 0;
int sum1_3 = 0;
int sum2_0 = 0;
int sum2_1 = 0;
int sum2_2 = 0;
int sum2_3 = 0;
int sum3_0 = 0;
int sum3_1 = 0;
int sum3_2 = 0;
int sum3_3 = 0;
for (int q=0; q<inch; q++)
{
sum0_0 += tmpptr[0] * kptr[0];
sum0_1 += tmpptr[1] * kptr[0];
sum0_2 += tmpptr[2] * kptr[0];
sum0_3 += tmpptr[3] * kptr[0];
sum1_0 += tmpptr[0] * kptr[1];
sum1_1 += tmpptr[1] * kptr[1];
sum1_2 += tmpptr[2] * kptr[1];
sum1_3 += tmpptr[3] * kptr[1];
sum2_0 += tmpptr[0] * kptr[2];
sum2_1 += tmpptr[1] * kptr[2];
sum2_2 += tmpptr[2] * kptr[2];
sum2_3 += tmpptr[3] * kptr[2];
sum3_0 += tmpptr[0] * kptr[3];
sum3_1 += tmpptr[1] * kptr[3];
sum3_2 += tmpptr[2] * kptr[3];
sum3_3 += tmpptr[3] * kptr[3];
tmpptr += 4;
kptr += 4;
}
outptr0[0] = sum0_0;
outptr0[1] = sum0_1;
outptr0[2] = sum0_2;
outptr0[3] = sum0_3;
outptr1[0] = sum1_0;
outptr1[1] = sum1_1;
outptr1[2] = sum1_2;
outptr1[3] = sum1_3;
outptr2[0] = sum2_0;
outptr2[1] = sum2_1;
outptr2[2] = sum2_2;
outptr2[3] = sum2_3;
outptr3[0] = sum3_0;
outptr3[1] = sum3_1;
outptr3[2] = sum3_2;
outptr3[3] = sum3_3;
outptr0 += 4;
outptr1 += 4;
outptr2 += 4;
outptr3 += 4;
#endif // __ARM_NEON
}
for (; i<size; i++)
{
const signed char* tmpptr = tmp.channel(i/8 + (i%8)/4 + i%4);
const signed char* kptr = kernel.channel(p/4);
#if __ARM_NEON
asm volatile(
// inch loop
"veor q6, q6, q6 \n"
"veor q7, q7, q7 \n"
"veor q8, q8, q8 \n"
"veor q9, q9, q9 \n"
"vmov.s32 q10, #0 \n"
"lsr r4, %12, #2 \n"// r4 = nn = inch >> 2
"cmp r4, #0 \n"
"beq 1f \n"
"0: \n"// for(; nn != 0; nn--)
"pld [%4, #128] \n"
"vld1.s8 {d4}, [%4] \n"// tmpr a00,a10,a20,a30 a(inch)(data)
"add %4, #4 \n"
"vmovl.s8 q2, d4 \n"// a00,a10,a20,a30
"vld1.s8 {d0-d1}, [%5]! \n"// kptr k00-k30,k01-k31,k02-k32,k03-k33 k(outch)(inch)
"vmovl.s8 q1, d1 \n"// k02-k32,k03-k33
"vmovl.s8 q0, d0 \n"// k00-k30,k01-k31
"vmlal.s16 q6, d0, d4[0] \n"// (k00-k30) * a00
"vmlal.s16 q7, d1, d4[1] \n"// (k01-k31) * a10
"vmlal.s16 q8, d2, d4[2] \n"// (k02-k32) * a20
"vmlal.s16 q9, d3, d4[3] \n"// (k03-k33) * a30
"subs r4, r4, #1 \n"
"bne 0b \n"// end for
"vadd.s32 q6, q6, q7 \n"
"vadd.s32 q9, q9, q8 \n"
"vadd.s32 q10, q6, q9 \n"
"1: \n"
// remain loop
"and r4, %12, #3 \n"// r4 = remain = inch & 3
"cmp r4, #0 \n"
"beq 3f \n"
"2: \n"// for(; remain != 0; remain--)
"vld1.s8 {d2}, [%4] \n"// tmpr a00 a(inch)(data)
"vld1.s8 {d0}, [%5] \n"// kptr k00-k30 k(outch)(inch)
"vmovl.s8 q1, d2 \n"
"vmovl.s8 q0, d0 \n"
"add %4, #1 \n"
"add %5, #4 \n"
"vmlal.s16 q10, d0, d2[0] \n"
"subs r4, r4, #1 \n"
"bne 2b \n"
"3: \n"// store the result to memory
"vst1.s32 {d20[0]}, [%0]! \n"
"vst1.s32 {d20[1]}, [%1]! \n"
"vst1.s32 {d21[0]}, [%2]! \n"
"vst1.s32 {d21[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"(inch) // %12
: "cc", "memory", "r4", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15"
);
#else
int sum0 = 0;
int sum1 = 0;
int sum2 = 0;
int sum3 = 0;
for (int q=0; q<inch; q++)
{
sum0 += tmpptr[0] * kptr[0];
sum1 += tmpptr[0] * kptr[1];
sum2 += tmpptr[0] * kptr[2];
sum3 += tmpptr[0] * kptr[3];
tmpptr++;
kptr += 4;
}
outptr0[0] = sum0;
outptr1[0] = sum1;
outptr2[0] = sum2;
outptr3[0] = sum3;
outptr0++;
outptr1++;
outptr2++;
outptr3++;
#endif // __ARM_NEON
}
}
remain_outch_start += nn_outch << 2;
#pragma omp parallel for num_threads(opt.num_threads)
for (int p=remain_outch_start; p<outch; p++)
{
Mat out0 = top_blob.channel(p);
int* outptr0 = out0;
int i = 0;
for (; i+7<size; i+=8)
{
const signed char* tmpptr = tmp.channel(i/8);
const signed char* kptr = kernel.channel(p/4 + p%4);
#if __ARM_NEON
asm volatile(
// inch loop
"vmov.s32 q6, #0 \n"
"vmov.s32 q7, #0 \n"
"lsr r4, %6, #2 \n"// r4 = nn = inch >> 2
"cmp r4, #0 \n"
"beq 1f \n"
"0: \n"// for(; nn != 0; nn--)
"pld [%1, #128] \n"
"vld1.s8 {d4-d7}, [%1]! \n"// tmpr a00-a07,a10-a17,a20-a27,a30-a37 a(inch)(data)
"vmovl.s8 q5, d7 \n"// a30-a37
"vmovl.s8 q4, d6 \n"// a20-a27
"vmovl.s8 q3, d5 \n"// a10-a17
"vmovl.s8 q2, d4 \n"// a00-a07
"vld1.s8 {d0}, [%2] \n"// kptr k00,k01,k02,k03 k(outch)(inch)
"vmovl.s8 q0, d0 \n"// k00,k01,k02,k03
"add %2, #4 \n"
"vmlal.s16 q6, d4, d0[0] \n"// (a00-a07) * k00
"vmlal.s16 q7, d5, d0[0] \n"
"vmlal.s16 q6, d6, d0[1] \n"// (a10-a17) * k01
"vmlal.s16 q7, d7, d0[1] \n"
"vmlal.s16 q6, d8, d0[2] \n"// (a20-a27) * k02
"vmlal.s16 q7, d9, d0[2] \n"
"vmlal.s16 q6, d10, d0[3] \n"// (a30-a37) * k03
"vmlal.s16 q7, d11, d0[3] \n"
"subs r4, r4, #1 \n"
"bne 0b \n"// end for
"1: \n"
// remain loop
"and r4, %6, #3 \n"// r4 = remain = inch & 3
"cmp r4, #0 \n"
"beq 3f \n"
"2: \n"// for(; remain != 0; remain--)
"vld1.s8 {d2}, [%1]! \n"// tmpr a00-a07 a(inch)(data)
"vld1.s8 {d0}, [%2] \n"// kptr k00 k(outch)(inch)
"vmovl.s8 q1, d2 \n"
"vmovl.s8 q0, d0 \n"
"add %2, #1 \n"
"vmlal.s16 q6, d2, d0[0] \n"// (a00-a07) * k00
"vmlal.s16 q7, d3, d0[0] \n"
"subs r4, r4, #1 \n"
"bne 2b \n"
"3: \n"// store the result to memory
"vst1.s32 {d12-d15}, [%0]! \n"
: "=r"(outptr0), // %0
"=r"(tmpptr), // %1
"=r"(kptr) // %2
: "0"(outptr0),
"1"(tmpptr),
"2"(kptr),
"r"(inch) // %6
: "cc", "memory", "r4", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7"
);
#else
int sum0 = 0;
int sum1 = 0;
int sum2 = 0;
int sum3 = 0;
int sum4 = 0;
int sum5 = 0;
int sum6 = 0;
int sum7 = 0;
for (int q=0; q<inch; q++)
{
sum0 += tmpptr[0] * kptr[0];
sum1 += tmpptr[1] * kptr[0];
sum2 += tmpptr[2] * kptr[0];
sum3 += tmpptr[3] * kptr[0];
sum4 += tmpptr[4] * kptr[0];
sum5 += tmpptr[5] * kptr[0];
sum6 += tmpptr[6] * kptr[0];
sum7 += tmpptr[7] * kptr[0];
tmpptr += 8;
kptr++;
}
outptr0[0] = sum0;
outptr0[1] = sum1;
outptr0[2] = sum2;
outptr0[3] = sum3;
outptr0[4] = sum4;
outptr0[5] = sum5;
outptr0[6] = sum6;
outptr0[7] = sum7;
outptr0 += 8;
#endif // __ARM_NEON
}
for (; i+3<size; i+=4)
{
const signed char* tmpptr = tmp.channel(i/8 + (i%8)/4);
const signed char* kptr = kernel.channel(p/4 + p%4);
#if __ARM_NEON
asm volatile(
// inch loop
"vmov.s32 q6, #0 \n"
"lsr r4, %6, #2 \n"// r4 = nn = inch >> 2
"cmp r4, #0 \n"
"beq 1f \n"
"0: \n"// for(; nn != 0; nn--)
"pld [%2, #128] \n"
"vld1.s8 {d4-d5}, [%1]! \n"// tmpr a00-a03,a10-a13,a20-a23,a30-a33 a(inch)(data)
"vmovl.s8 q3, d5 \n"// a20-a23,a30-a33
"vmovl.s8 q2, d4 \n"// a00-a03,a10-a13
"vld1.s8 {d0}, [%2] \n"// kptr k00,k01,k02,k03 k(outch)(inch)
"vmovl.s8 q0, d0 \n"// k00,k01,k02,k03
"add %2, #4 \n"
"vmlal.s16 q6, d4, d0[0] \n"// (a00-a03) * k00
"vmlal.s16 q6, d5, d0[1] \n"// (a10-a13) * k01
"vmlal.s16 q6, d6, d0[2] \n"// (a20-a23) * k02
"vmlal.s16 q6, d7, d0[3] \n"// (a30-a33) * k03
"subs r4, r4, #1 \n"
"bne 0b \n"// end for
"1: \n"
// remain loop
"and r4, %6, #3 \n"// r4 = remain = inch & 3
"cmp r4, #0 \n"
"beq 3f \n"
"2: \n"// for(; remain != 0; remain--)
"vld1.s8 {d2}, [%1] \n"// tmpr a00-a03 a(inch)(data)
"vld1.s8 {d0}, [%2] \n"// kptr k00 k(outch)(inch)
"vmovl.s8 q1, d2 \n"
"vmovl.s8 q0, d0 \n"
"add %1, #4 \n"
"add %2, #1 \n"
"vmlal.s16 q6, d2, d0[0] \n"// (a00-a03) * k00
"subs r4, r4, #1 \n"
"bne 2b \n"
"3: \n"// store the result to memory
"vst1.s32 {d12-d13}, [%0]! \n"
: "=r"(outptr0), // %0
"=r"(tmpptr), // %1
"=r"(kptr) // %2
: "0"(outptr0),
"1"(tmpptr),
"2"(kptr),
"r"(inch) // %6
: "cc", "memory", "r4", "q0", "q1", "q2", "q3", "q4", "q5", "q6"
);
#else
int sum0 = 0;
int sum1 = 0;
int sum2 = 0;
int sum3 = 0;
for (int q=0; q<inch; q++)
{
sum0 += tmpptr[0] * kptr[0];
sum1 += tmpptr[1] * kptr[0];
sum2 += tmpptr[2] * kptr[0];
sum3 += tmpptr[3] * kptr[0];
tmpptr += 4;
kptr++;
}
outptr0[0] = sum0;
outptr0[1] = sum1;
outptr0[2] = sum2;
outptr0[3] = sum3;
outptr0 += 4;
#endif // __ARM_NEON
}
for (; i<size; i++)
{
const signed char* tmpptr = tmp.channel(i/8 + (i%8)/4 + i%4);
const signed char* kptr = kernel.channel(p/4 + p%4);
int q = 0;
int sum0 = 0;
for (; q<inch; q++)
{
sum0 += tmpptr[0] * kptr[0];
tmpptr++;
kptr++;
}
outptr0[0] = sum0;
outptr0++;
}
}
// // NOTE sgemm int8
// for (; p<outch; p++)
// {
// Mat out0 = top_blob.channel(p);
//
// int* outptr0 = out0;
//
// for (int i=0; i<size; i++)
// {
// int sum = 0;
//
// const signed char* kptr = _kernel.channel(p/8 + p%8);
//
// for (int q=0; q<inch; q++)
// {
// const signed char* img0 = bottom_blob.channel(q);
//
// sum += img0[i] * kptr[0];
// kptr ++;
// }
//
// outptr0[i] = sum;
// }
// }
}
static void conv1x1s1_sgemm_int8_requant_neon(const Mat &bottom_blob, Mat &top_blob, const Mat &kernel, const Mat &_bias, std::vector<float> scales_requant, const Option& opt)
{
int w = bottom_blob.w;
int h = bottom_blob.h;
int inch = bottom_blob.c;
int outch = top_blob.c;
const int size = w * h;
const float* bias = _bias;
// interleave
Mat tmp(8*4, inch/4+inch%4, size/8 + (size%8)/4 + size%4, 1u, opt.workspace_allocator);
{
int nn_size = size >> 3;
int remain_size_start = nn_size << 3;
#pragma omp parallel for num_threads(opt.num_threads)
for (int ii=0; ii<nn_size; ii++)
{
int i = ii * 8;
const signed char* img0 = bottom_blob.channel(0);
img0 += i;
signed char* tmpptr = tmp.channel(i/8);
for (int q=0; q<inch; q++)
{
#if __ARM_NEON
asm volatile(
"pld [%0, #64] \n"
"vld1.s8 {d0}, [%0] \n"
"vst1.s8 {d0}, [%1]! \n"
: "=r"(img0), // %0
"=r"(tmpptr) // %1
: "0"(img0),
"1"(tmpptr)
: "memory", "d0"
);
img0 += bottom_blob.cstep;
#else
tmpptr[0] = img0[0];
tmpptr[1] = img0[1];
tmpptr[2] = img0[2];
tmpptr[3] = img0[3];
tmpptr[4] = img0[4];
tmpptr[5] = img0[5];
tmpptr[6] = img0[6];
tmpptr[7] = img0[7];
tmpptr += 8;
img0 += bottom_blob.cstep;
#endif // __ARM_NEON
}
}
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;
const signed char* img0 = bottom_blob.channel(0);
img0 += i;
signed char* tmpptr = tmp.channel(i/8 + (i%8)/4);
for (int q=0; q<inch; q++)
{
tmpptr[0] = img0[0];
tmpptr[1] = img0[1];
tmpptr[2] = img0[2];
tmpptr[3] = img0[3];
tmpptr += 4;
img0 += bottom_blob.cstep;
}
}
remain_size_start += nn_size << 2;
#pragma omp parallel for num_threads(opt.num_threads)
for (int i=remain_size_start; i<size; i++)
{
const signed char* img0 = bottom_blob.channel(0);
img0 += i;
signed char* tmpptr = tmp.channel(i/8 + (i%8)/4 + i%4);
for (int q=0; q<inch; q++)
{
tmpptr[0] = img0[0];
tmpptr++;
img0 += bottom_blob.cstep;
}
}
}
// sgemm process
int nn_outch = 0;
int remain_outch_start = 0;
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;
signed char* outptr0 = top_blob.channel(p);
signed char* outptr1 = top_blob.channel(p+1);
signed char* outptr2 = top_blob.channel(p+2);
signed char* outptr3 = top_blob.channel(p+3);
const float bias0 = bias ? bias[p] : 0.f;
const float bias1 = bias ? bias[p+1] : 0.f;
const float bias2 = bias ? bias[p+2] : 0.f;
const float bias3 = bias ? bias[p+3] : 0.f;
const float scale_requant_in0 = scales_requant[2*p];
const float scale_requant_out0 = scales_requant[2*p+1];
const float scale_requant_in1 = scales_requant[2*(p+1)];
const float scale_requant_out1 = scales_requant[2*(p+1)+1];
const float scale_requant_in2 = scales_requant[2*(p+2)];
const float scale_requant_out2 = scales_requant[2*(p+2)+1];
const float scale_requant_in3 = scales_requant[2*(p+3)];
const float scale_requant_out3 = scales_requant[2*(p+3)+1];
#if __ARM_NEON
float32x4_t _bias03, _scale_in03, _scale_out03;
_bias03[0] = bias0;
_bias03[1] = bias1;
_bias03[2] = bias2;
_bias03[3] = bias3;
_scale_in03[0] = scale_requant_in0;
_scale_in03[1] = scale_requant_in1;
_scale_in03[2] = scale_requant_in2;
_scale_in03[3] = scale_requant_in3;
_scale_out03[0] = scale_requant_out0;
_scale_out03[1] = scale_requant_out1;
_scale_out03[2] = scale_requant_out2;
_scale_out03[3] = scale_requant_out3;
#endif // __ARM_NEON
int i = 0;
for (; i+7<size; i+=8)
{
const signed char* tmpptr = tmp.channel(i/8);
const signed char* kptr = kernel.channel(p/4);
#if __ARM_NEON
asm volatile(
// inch loop
"vmov.s32 q6, #0 \n"
"vmov.s32 q7, #0 \n"
"vmov.s32 q8, #0 \n"
"vmov.s32 q9, #0 \n"
"vmov.s32 q10, #0 \n"
"vmov.s32 q11, #0 \n"
"vmov.s32 q12, #0 \n"
"vmov.s32 q13, #0 \n"
"lsr r4, %12, #2 \n"// r4 = nn = inch >> 2
"cmp r4, #0 \n"
"beq 1f \n"
"0: \n"// for(; nn != 0; nn--)
"pld [%4, #128] \n"
"vld1.s8 {d28-d31}, [%4]! \n"// tmpr a00-a07,a10-a17,a20-a27,a30-a37 a(inch)(data)
"vmovl.s8 q5, d31 \n"// a30-a37
"vmovl.s8 q4, d30 \n"// a20-a27
"vmovl.s8 q15, d29 \n"// a10-a17
"vmovl.s8 q14, d28 \n"// a00-a07
"vld1.s8 {d0-d1}, [%5]! \n"// kptr k00-k30,k01-k31,k02-k32,k03-k33 k(outch)(inch)
"vmovl.s8 q1, d1 \n"// k02-k32,k03-k33
"vmovl.s8 q0, d0 \n"// k00-k30,k01-k31
"vmlal.s16 q6, d28, d0[0] \n"// sum0 = (a00-a07) * k00
"vmlal.s16 q7, d29, d0[0] \n"
"vmlal.s16 q8, d28, d0[1] \n"// sum1 = (a00-a07) * k10
"vmlal.s16 q9, d29, d0[1] \n"
"vmlal.s16 q10, d28, d0[2] \n"// sum2 = (a00-a07) * k20
"vmlal.s16 q11, d29, d0[2] \n"
"vmlal.s16 q12, d28, d0[3] \n"// sum3 = (a00-a07) * k30
"vmlal.s16 q13, d29, d0[3] \n"
"vmlal.s16 q6, d30, d1[0] \n"// sum0 += (a10-a17) * k01
"vmlal.s16 q7, d31, d1[0] \n"
"vmlal.s16 q8, d30, d1[1] \n"// sum1 += (a10-a17) * k11
"vmlal.s16 q9, d31, d1[1] \n"
"vmlal.s16 q10, d30, d1[2] \n"// sum2 += (a10-a17) * k21
"vmlal.s16 q11, d31, d1[2] \n"
"vmlal.s16 q12, d30, d1[3] \n"// sum3 += (a10-a17) * k31
"vmlal.s16 q13, d31, d1[3] \n"
"vmlal.s16 q6, d8, d2[0] \n"// sum0 += (a20-a27) * k02
"vmlal.s16 q7, d9, d2[0] \n"
"vmlal.s16 q8, d8, d2[1] \n"// sum1 += (a20-a27) * k12
"vmlal.s16 q9, d9, d2[1] \n"
"vmlal.s16 q10, d8, d2[2] \n"// sum2 += (a20-a27) * k22
"vmlal.s16 q11, d9, d2[2] \n"
"vmlal.s16 q12, d8, d2[3] \n"// sum3 += (a20-a27) * k32
"vmlal.s16 q13, d9, d2[3] \n"
"vmlal.s16 q6, d10, d3[0] \n"// sum0 += (a30-a37) * k03
"vmlal.s16 q7, d11, d3[0] \n"
"vmlal.s16 q8, d10, d3[1] \n"// sum1 += (a30-a37) * k13
"vmlal.s16 q9, d11, d3[1] \n"
"vmlal.s16 q10, d10, d3[2] \n"// sum2 += (a30-a37) * k23
"vmlal.s16 q11, d11, d3[2] \n"
"vmlal.s16 q12, d10, d3[3] \n"// sum3 += (a30-a37) * k33
"vmlal.s16 q13, d11, d3[3] \n"
"subs r4, r4, #1 \n"
"bne 0b \n"// end for
"1: \n"
// remain loop
"and r4, %12, #3 \n"// r4 = remain = inch & 3
"cmp r4, #0 \n"
"beq 3f \n"
"2: \n"// for(; remain != 0; remain--)
"vld1.s8 {d2}, [%4]! \n"// tmpr a00-a07 a(inch)(data)
"vld1.s8 {d0}, [%5] \n"// kptr k00-k30 k(outch)(inch)
"vmovl.s8 q1, d2 \n"
"vmovl.s8 q0, d0 \n"
"add %5, #4 \n"
"vmlal.s16 q6, d2, d0[0] \n"// sum0 += (a00-a07) * k00
"vmlal.s16 q7, d3, d0[0] \n"
"vmlal.s16 q8, d2, d0[1] \n"// sum1 += (a00-a07) * k10
"vmlal.s16 q9, d3, d0[1] \n"
"vmlal.s16 q10, d2, d0[2] \n"// sum2 += (a00-a07) * k20
"vmlal.s16 q11, d3, d0[2] \n"
"vmlal.s16 q12, d2, d0[3] \n"// sum3 += (a00-a07) * k30
"vmlal.s16 q13, d3, d0[3] \n"
"subs r4, r4, #1 \n"
"bne 2b \n"
"3: \n"// store the result to memory
"vdup.f32 q14, %13 \n" // bias
"vdup.f32 q15, %14 \n" // bias
"vdup.f32 q4, %15 \n" // bias
"vdup.f32 q5, %16 \n" // bias
// sum0
// top_s32 -> top_f32
"vcvt.f32.s32 q6, q6 \n"
"vcvt.f32.s32 q7, q7 \n"
"vcvt.f32.s32 q8, q8 \n"
"vcvt.f32.s32 q9, q9 \n"
// top_f32 = top_f32 * scale_int
"vmul.f32 q6, q6, %e17[0] \n"
"vmul.f32 q7, q7, %e17[0] \n"
"vmul.f32 q8, q8, %e17[1] \n"
"vmul.f32 q9, q9, %e17[1] \n"
// top_f32 = top_f32 + bias
"vadd.f32 q6, q6, q14 \n"
"vadd.f32 q7, q7, q14 \n"
"vadd.f32 q8, q8, q15 \n"
"vadd.f32 q9, q9, q15 \n"
// top_f32 = top_f32 * scale_out
"vmul.f32 q0, q6, %e18[0] \n"
"vmul.f32 q1, q7, %e18[0] \n"
// top_f32 -> top_s32
"vcvtr.s32.f32 s0, s0 \n"
"vcvtr.s32.f32 s1, s1 \n"
"vcvtr.s32.f32 s2, s2 \n"
"vcvtr.s32.f32 s3, s3 \n"
"vcvtr.s32.f32 s4, s4 \n"
"vcvtr.s32.f32 s5, s5 \n"
"vcvtr.s32.f32 s6, s6 \n"
"vcvtr.s32.f32 s7, s7 \n"
// top_s32 -> top_s16
"vqmovn.s32 d12, q0 \n"
"vqmovn.s32 d13, q1 \n"
// top_s16 -> top_s8
"vqmovn.s16 d12, q6 \n"
// save top_s8
"vst1.8 {d12}, [%0]! \n"
// sum1
// top_f32 = top_f32 * scale_out
"vmul.f32 q0, q8, %e18[1] \n"
"vmul.f32 q1, q9, %e18[1] \n"
// top_f32 -> top_s32
"vcvtr.s32.f32 s0, s0 \n"
"vcvtr.s32.f32 s1, s1 \n"
"vcvtr.s32.f32 s2, s2 \n"
"vcvtr.s32.f32 s3, s3 \n"
"vcvtr.s32.f32 s4, s4 \n"
"vcvtr.s32.f32 s5, s5 \n"
"vcvtr.s32.f32 s6, s6 \n"
"vcvtr.s32.f32 s7, s7 \n"
// top_s32 -> top_s16
"vqmovn.s32 d16, q0 \n"
"vqmovn.s32 d17, q1 \n"
// top_s16 -> top_s8
"vqmovn.s16 d16, q8 \n"
// save top_s8
"vst1.8 {d16}, [%1]! \n"
// sum2
// top_s32 -> top_f32
"vcvt.f32.s32 q10, q10 \n"
"vcvt.f32.s32 q11, q11 \n"
"vcvt.f32.s32 q12, q12 \n"
"vcvt.f32.s32 q13, q13 \n"
// top_f32 = top_f32 * scale_int
"vmul.f32 q10, q10, %f17[0] \n"
"vmul.f32 q11, q11, %f17[0] \n"
"vmul.f32 q12, q12, %f17[1] \n"
"vmul.f32 q13, q13, %f17[1] \n"
// top_f32 = top_f32 + bias
"vadd.f32 q10, q10, q4 \n"
"vadd.f32 q11, q11, q4 \n"
"vadd.f32 q12, q12, q5 \n"
"vadd.f32 q13, q13, q5 \n"
// top_f32 = top_f32 * scale_out
"vmul.f32 q0, q10, %f18[0] \n"
"vmul.f32 q1, q11, %f18[0] \n"
// top_f32 -> top_s32
"vcvtr.s32.f32 s0, s0 \n"
"vcvtr.s32.f32 s1, s1 \n"
"vcvtr.s32.f32 s2, s2 \n"
"vcvtr.s32.f32 s3, s3 \n"
"vcvtr.s32.f32 s4, s4 \n"
"vcvtr.s32.f32 s5, s5 \n"
"vcvtr.s32.f32 s6, s6 \n"
"vcvtr.s32.f32 s7, s7 \n"
// top_s32 -> top_s16
"vqmovn.s32 d20, q0 \n"
"vqmovn.s32 d21, q1 \n"
// top_s16 -> top_s8
"vqmovn.s16 d20, q10 \n"
// save top_s8
"vst1.8 {d20}, [%2]! \n"
// sum3
// top_f32 = top_f32 * scale_out
"vmul.f32 q0, q12, %f18[1] \n"
"vmul.f32 q1, q13, %f18[1] \n"
// top_f32 -> top_s32
"vcvtr.s32.f32 s0, s0 \n"
"vcvtr.s32.f32 s1, s1 \n"
"vcvtr.s32.f32 s2, s2 \n"
"vcvtr.s32.f32 s3, s3 \n"
"vcvtr.s32.f32 s4, s4 \n"
"vcvtr.s32.f32 s5, s5 \n"
"vcvtr.s32.f32 s6, s6 \n"
"vcvtr.s32.f32 s7, s7 \n"
// top_s32 -> top_s16
"vqmovn.s32 d24, q0 \n"
"vqmovn.s32 d25, q1 \n"
// top_s16 -> top_s8
"vqmovn.s16 d24, q12 \n"
// save top_s8
"vst1.8 {d24}, [%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"(inch), // %12
"r"(bias0), // %13
"r"(bias1), // %14
"r"(bias2), // %15
"r"(bias3), // %16
"w"(_scale_in03), // %17
"w"(_scale_out03) // %18
: "cc", "memory", "r4", "q0", "q1", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11", "q12", "q13" ,"q14" ,"q15"
);
#else
int sum0_0 = 0;
int sum0_1 = 0;
int sum0_2 = 0;
int sum0_3 = 0;
int sum0_4 = 0;
int sum0_5 = 0;
int sum0_6 = 0;
int sum0_7 = 0;
int sum1_0 = 0;
int sum1_1 = 0;
int sum1_2 = 0;
int sum1_3 = 0;
int sum1_4 = 0;
int sum1_5 = 0;
int sum1_6 = 0;
int sum1_7 = 0;
int sum2_0 = 0;
int sum2_1 = 0;
int sum2_2 = 0;
int sum2_3 = 0;
int sum2_4 = 0;
int sum2_5 = 0;
int sum2_6 = 0;
int sum2_7 = 0;
int sum3_0 = 0;
int sum3_1 = 0;
int sum3_2 = 0;
int sum3_3 = 0;
int sum3_4 = 0;
int sum3_5 = 0;
int sum3_6 = 0;
int sum3_7 = 0;
for (int q=0; q<inch; q++)
{
sum0_0 += tmpptr[0] * kptr[0];
sum0_1 += tmpptr[1] * kptr[0];
sum0_2 += tmpptr[2] * kptr[0];
sum0_3 += tmpptr[3] * kptr[0];
sum0_4 += tmpptr[4] * kptr[0];
sum0_5 += tmpptr[5] * kptr[0];
sum0_6 += tmpptr[6] * kptr[0];
sum0_7 += tmpptr[7] * kptr[0];
sum1_0 += tmpptr[0] * kptr[1];
sum1_1 += tmpptr[1] * kptr[1];
sum1_2 += tmpptr[2] * kptr[1];
sum1_3 += tmpptr[3] * kptr[1];
sum1_4 += tmpptr[4] * kptr[1];
sum1_5 += tmpptr[5] * kptr[1];
sum1_6 += tmpptr[6] * kptr[1];
sum1_7 += tmpptr[7] * kptr[1];
sum2_0 += tmpptr[0] * kptr[2];
sum2_1 += tmpptr[1] * kptr[2];
sum2_2 += tmpptr[2] * kptr[2];
sum2_3 += tmpptr[3] * kptr[2];
sum2_4 += tmpptr[4] * kptr[2];
sum2_5 += tmpptr[5] * kptr[2];
sum2_6 += tmpptr[6] * kptr[2];
sum2_7 += tmpptr[7] * kptr[2];
sum3_0 += tmpptr[0] * kptr[3];
sum3_1 += tmpptr[1] * kptr[3];
sum3_2 += tmpptr[2] * kptr[3];
sum3_3 += tmpptr[3] * kptr[3];
sum3_4 += tmpptr[4] * kptr[3];
sum3_5 += tmpptr[5] * kptr[3];
sum3_6 += tmpptr[6] * kptr[3];
sum3_7 += tmpptr[7] * kptr[3];
tmpptr += 8;
kptr += 4;
}
outptr0[0] = sum0_0;
outptr0[1] = sum0_1;
outptr0[2] = sum0_2;
outptr0[3] = sum0_3;
outptr0[4] = sum0_4;
outptr0[5] = sum0_5;
outptr0[6] = sum0_6;
outptr0[7] = sum0_7;
outptr1[0] = sum1_0;
outptr1[1] = sum1_1;
outptr1[2] = sum1_2;
outptr1[3] = sum1_3;
outptr1[4] = sum1_4;
outptr1[5] = sum1_5;
outptr1[6] = sum1_6;
outptr1[7] = sum1_7;
outptr2[0] = sum2_0;
outptr2[1] = sum2_1;
outptr2[2] = sum2_2;
outptr2[3] = sum2_3;
outptr2[4] = sum2_4;
outptr2[5] = sum2_5;
outptr2[6] = sum2_6;
outptr2[7] = sum2_7;
outptr3[0] = sum3_0;
outptr3[1] = sum3_1;
outptr3[2] = sum3_2;
outptr3[3] = sum3_3;
outptr3[4] = sum3_4;
outptr3[5] = sum3_5;
outptr3[6] = sum3_6;
outptr3[7] = sum3_7;
outptr0 += 8;
outptr1 += 8;
outptr2 += 8;
outptr3 += 8;
#endif // __ARM_NEON
}
for (; i+3<size; i+=4)
{
const signed char* tmpptr = tmp.channel(i/8 + (i%8)/4);
const signed char* kptr = kernel.channel(p/4);
#if __ARM_NEON
asm volatile(
// inch loop
"vmov.s32 q6, #0 \n"
"vmov.s32 q7, #0 \n"
"vmov.s32 q8, #0 \n"
"vmov.s32 q9, #0 \n"
"lsr r4, %12, #2 \n"// r4 = nn = inch >> 2
"cmp r4, #0 \n"
"beq 1f \n"
"0: \n"// for(; nn != 0; nn--)
"pld [%4, #128] \n"
"vld1.s8 {d28-d29}, [%4]! \n"// tmpr a00-a03,a10-a13,a20-a23,a30-a33 a(inch)(data)
"vmovl.s8 q15, d29 \n"// a20-a23,a30-a33
"vmovl.s8 q14, d28 \n"// a00-a04,a10-a14
"vld1.s8 {d0-d1}, [%5]! \n"// kptr k00-k30,k01-k31,k02-k32,k03-k33 k(outch)(inch)
"vmovl.s8 q1, d1 \n"// k02-k32,k03-k33
"vmovl.s8 q0, d0 \n"// k00-k30,k01-k31
"vmlal.s16 q6, d28, d0[0] \n"// sum0 = (a00-a03) * k00
"vmlal.s16 q7, d28, d0[1] \n"// sum1 = (a00-a03) * k10
"vmlal.s16 q8, d28, d0[2] \n"// sum2 = (a00-a03) * k20
"vmlal.s16 q9, d28, d0[3] \n"// sum3 = (a00-a03) * k30
"vmlal.s16 q6, d29, d1[0] \n"// sum0 += (a10-a13) * k01
"vmlal.s16 q7, d29, d1[1] \n"// sum1 += (a10-a13) * k11
"vmlal.s16 q8, d29, d1[2] \n"// sum2 += (a10-a13) * k21
"vmlal.s16 q9, d29, d1[3] \n"// sum3 += (a10-a13) * k31
"vmlal.s16 q6, d30, d2[0] \n"// sum0 += (a20-a23) * k02
"vmlal.s16 q7, d30, d2[1] \n"// sum1 += (a20-a23) * k12
"vmlal.s16 q8, d30, d2[2] \n"// sum2 += (a20-a23) * k22
"vmlal.s16 q9, d30, d2[3] \n"// sum3 += (a20-a23) * k32
"vmlal.s16 q6, d31, d3[0] \n"// sum0 += (a30-a33) * k03
"vmlal.s16 q7, d31, d3[1] \n"// sum1 += (a30-a33) * k13
"vmlal.s16 q8, d31, d3[2] \n"// sum2 += (a30-a33) * k23
"vmlal.s16 q9, d31, d3[3] \n"// sum3 += (a30-a33) * k33
"subs r4, r4, #1 \n"
"bne 0b \n"// end for
"1: \n"
// remain loop
"and r4, %12, #3 \n"// r4 = remain = inch & 3
"cmp r4, #0 \n"
"beq 3f \n"
"2: \n"// for(; remain != 0; remain--)
"vld1.s8 {d2}, [%4] \n"// tmpr a00-a03 a(inch)(data)
"vld1.s8 {d0}, [%5] \n"// kptr k00-k30 k(outch)(inch)
"vmovl.s8 q1, d2 \n"
"vmovl.s8 q0, d0 \n"
"add %4, #4 \n"
"add %5, #4 \n"
"vmlal.s16 q6, d2, d0[0] \n"// sum0 += (a00-a03) * k00
"vmlal.s16 q7, d2, d0[1] \n"// sum1 += (a00-a03) * k10
"vmlal.s16 q8, d2, d0[2] \n"// sum2 += (a00-a03) * k20
"vmlal.s16 q9, d2, d0[3] \n"// sum3 += (a00-a03) * k30
"subs r4, r4, #1 \n"
"bne 2b \n"
"3: \n"// store the result to memory
"vdup.f32 q14, %13 \n" // bias
"vdup.f32 q15, %14 \n" // bias
"vdup.f32 q4, %15 \n" // bias
"vdup.f32 q5, %16 \n" // bias
// sum0-1
// top_s32 -> top_f32
"vcvt.f32.s32 q6, q6 \n"
"vcvt.f32.s32 q7, q7 \n"
"vcvt.f32.s32 q8, q8 \n"
"vcvt.f32.s32 q9, q9 \n"
// top_f32 = top_f32 * scale_int
"vmul.f32 q6, q6, %e17[0] \n"
"vmul.f32 q7, q7, %e17[1] \n"
"vmul.f32 q8, q8, %f17[0] \n"
"vmul.f32 q9, q9, %f17[1] \n"
// top_f32 = top_f32 + bias
"vadd.f32 q6, q6, q14 \n"
"vadd.f32 q7, q7, q15 \n"
"vadd.f32 q8, q8, q4 \n"
"vadd.f32 q9, q9, q5 \n"
// top_f32 = top_f32 * scale_out
"vmul.f32 q0, q6, %e18[0] \n"
"vmul.f32 q1, q7, %e18[1] \n"
// top_f32 -> top_s32
"vcvtr.s32.f32 s0, s0 \n"
"vcvtr.s32.f32 s1, s1 \n"
"vcvtr.s32.f32 s2, s2 \n"
"vcvtr.s32.f32 s3, s3 \n"
"vcvtr.s32.f32 s4, s4 \n"
"vcvtr.s32.f32 s5, s5 \n"
"vcvtr.s32.f32 s6, s6 \n"
"vcvtr.s32.f32 s7, s7 \n"
// top_s32 -> top_s16
"vqmovn.s32 d12, q0 \n"
"vqmovn.s32 d13, q1 \n"
// top_s16 -> top_s8
"vqmovn.s16 d12, q6 \n"
// save top_s8
"vst1.s32 {d12[0]}, [%0]! \n"
"vst1.s32 {d12[1]}, [%1]! \n"
// sum1-2
// top_f32 = top_f32 * scale_out
"vmul.f32 q0, q8, %f18[0] \n"
"vmul.f32 q1, q9, %f18[1] \n"
// top_f32 -> top_s32
"vcvtr.s32.f32 s0, s0 \n"
"vcvtr.s32.f32 s1, s1 \n"
"vcvtr.s32.f32 s2, s2 \n"
"vcvtr.s32.f32 s3, s3 \n"
"vcvtr.s32.f32 s4, s4 \n"
"vcvtr.s32.f32 s5, s5 \n"
"vcvtr.s32.f32 s6, s6 \n"
"vcvtr.s32.f32 s7, s7 \n"
// top_s32 -> top_s16
"vqmovn.s32 d16, q0 \n"
"vqmovn.s32 d17, q1 \n"
// top_s16 -> top_s8
"vqmovn.s16 d16, q8 \n"
// save top_s8
"vst1.s32 {d16[0]}, [%2]! \n"
"vst1.s32 {d16[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"(inch), // %12
"r"(bias0), // %13
"r"(bias1), // %14
"r"(bias2), // %15
"r"(bias3), // %16
"w"(_scale_in03), // %17
"w"(_scale_out03) // %18
: "cc", "memory", "r4", "q0", "q1", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15"
);
#else
int sum0_0 = 0;
int sum0_1 = 0;
int sum0_2 = 0;
int sum0_3 = 0;
int sum1_0 = 0;
int sum1_1 = 0;
int sum1_2 = 0;
int sum1_3 = 0;
int sum2_0 = 0;
int sum2_1 = 0;
int sum2_2 = 0;
int sum2_3 = 0;
int sum3_0 = 0;
int sum3_1 = 0;
int sum3_2 = 0;
int sum3_3 = 0;
for (int q=0; q<inch; q++)
{
sum0_0 += tmpptr[0] * kptr[0];
sum0_1 += tmpptr[1] * kptr[0];
sum0_2 += tmpptr[2] * kptr[0];
sum0_3 += tmpptr[3] * kptr[0];
sum1_0 += tmpptr[0] * kptr[1];
sum1_1 += tmpptr[1] * kptr[1];
sum1_2 += tmpptr[2] * kptr[1];
sum1_3 += tmpptr[3] * kptr[1];
sum2_0 += tmpptr[0] * kptr[2];
sum2_1 += tmpptr[1] * kptr[2];
sum2_2 += tmpptr[2] * kptr[2];
sum2_3 += tmpptr[3] * kptr[2];
sum3_0 += tmpptr[0] * kptr[3];
sum3_1 += tmpptr[1] * kptr[3];
sum3_2 += tmpptr[2] * kptr[3];
sum3_3 += tmpptr[3] * kptr[3];
tmpptr += 4;
kptr += 4;
}
outptr0[0] = sum0_0;
outptr0[1] = sum0_1;
outptr0[2] = sum0_2;
outptr0[3] = sum0_3;
outptr1[0] = sum1_0;
outptr1[1] = sum1_1;
outptr1[2] = sum1_2;
outptr1[3] = sum1_3;
outptr2[0] = sum2_0;
outptr2[1] = sum2_1;
outptr2[2] = sum2_2;
outptr2[3] = sum2_3;
outptr3[0] = sum3_0;
outptr3[1] = sum3_1;
outptr3[2] = sum3_2;
outptr3[3] = sum3_3;
outptr0 += 4;
outptr1 += 4;
outptr2 += 4;
outptr3 += 4;
#endif // __ARM_NEON
}
for (; i<size; i++)
{
const signed char* tmpptr = tmp.channel(i/8 + (i%8)/4 + i%4);
const signed char* kptr = kernel.channel(p/4);
#if __ARM_NEON
asm volatile(
// inch loop
"veor q6, q6, q6 \n"
"veor q7, q7, q7 \n"
"veor q8, q8, q8 \n"
"veor q9, q9, q9 \n"
"vmov.s32 q10, #0 \n"
"lsr r4, %12, #2 \n"// r4 = nn = inch >> 2
"cmp r4, #0 \n"
"beq 1f \n"
"0: \n"// for(; nn != 0; nn--)
"pld [%4, #128] \n"
"vld1.s8 {d4}, [%4] \n"// tmpr a00,a10,a20,a30 a(inch)(data)
"add %4, #4 \n"
"vmovl.s8 q2, d4 \n"// a00,a10,a20,a30
"vld1.s8 {d0-d1}, [%5]! \n"// kptr k00-k30,k01-k31,k02-k32,k03-k33 k(outch)(inch)
"vmovl.s8 q1, d1 \n"// k02-k32,k03-k33
"vmovl.s8 q0, d0 \n"// k00-k30,k01-k31
"vmlal.s16 q6, d0, d4[0] \n"// (k00-k30) * a00
"vmlal.s16 q7, d1, d4[1] \n"// (k01-k31) * a10
"vmlal.s16 q8, d2, d4[2] \n"// (k02-k32) * a20
"vmlal.s16 q9, d3, d4[3] \n"// (k03-k33) * a30
"subs r4, r4, #1 \n"
"bne 0b \n"// end for
"vadd.s32 q6, q6, q7 \n"
"vadd.s32 q9, q9, q8 \n"
"vadd.s32 q10, q6, q9 \n"
"1: \n"
// remain loop
"and r4, %12, #3 \n"// r4 = remain = inch & 3
"cmp r4, #0 \n"
"beq 3f \n"
"2: \n"// for(; remain != 0; remain--)
"vld1.s8 {d2}, [%4] \n"// tmpr a00 a(inch)(data)
"vld1.s8 {d0}, [%5] \n"// kptr k00-k30 k(outch)(inch)
"vmovl.s8 q1, d2 \n"
"vmovl.s8 q0, d0 \n"
"add %4, #1 \n"
"add %5, #4 \n"
"vmlal.s16 q10, d0, d2[0] \n"
"subs r4, r4, #1 \n"
"bne 2b \n"
"3: \n"// store the result to memory
// top_s32 -> top_f32
"vcvt.f32.s32 q10, q10 \n"
// top_f32 = top_f32 * scale_int
"vmul.f32 q10, q10, %q14 \n"
// top_f32 = top_f32 + bias
"vadd.f32 q10, q10, %q13 \n"
// top_f32 = top_f32 * scale_out
"vmul.f32 q0, q10, %q15 \n"
// top_f32 -> top_s32
"vcvtr.s32.f32 s0, s0 \n"
"vcvtr.s32.f32 s1, s1 \n"
"vcvtr.s32.f32 s2, s2 \n"
"vcvtr.s32.f32 s3, s3 \n"
// top_s32 -> top_s16
"vqmovn.s32 d12, q0 \n"
// top_s16 -> top_s8
"vqmovn.s16 d12, q6 \n"
// save top_s8
"vst1.8 {d12[0]}, [%0]! \n"
"vst1.8 {d12[1]}, [%1]! \n"
"vst1.8 {d12[2]}, [%2]! \n"
"vst1.8 {d12[3]}, [%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"(inch), // %12
"w"(_bias03), // %13
"w"(_scale_in03), // %14
"w"(_scale_out03) // %15
: "cc", "memory", "r4", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11", "q12"
);
#else
int sum0 = 0;
int sum1 = 0;
int sum2 = 0;
int sum3 = 0;
for (int q=0; q<inch; q++)
{
sum0 += tmpptr[0] * kptr[0];
sum1 += tmpptr[0] * kptr[1];
sum2 += tmpptr[0] * kptr[2];
sum3 += tmpptr[0] * kptr[3];
tmpptr++;
kptr += 4;
}
outptr0[0] = sum0;
outptr1[0] = sum1;
outptr2[0] = sum2;
outptr3[0] = sum3;
outptr0++;
outptr1++;
outptr2++;
outptr3++;
#endif // __ARM_NEON
}
}
remain_outch_start += nn_outch << 2;
#pragma omp parallel for num_threads(opt.num_threads)
for (int p=remain_outch_start; p<outch; p++)
{
Mat out0 = top_blob.channel(p);
signed char* outptr0 = out0;
const float bias0 = bias ? bias[p] : 0.f;
const float scale_requant_in = scales_requant[2*p];
const float scale_requant_out = scales_requant[2*p+1];
#if __ARM_NEON
float32x4_t _bias0 = vdupq_n_f32(bias0);
float32x4_t _scale_in = vdupq_n_f32(scale_requant_in);
float32x4_t _scale_out = vdupq_n_f32(scale_requant_out);
#endif // __ARM_NEON
int i = 0;
for (; i+7<size; i+=8)
{
const signed char* tmpptr = tmp.channel(i/8);
const signed char* kptr = kernel.channel(p/4 + p%4);
#if __ARM_NEON
asm volatile(
// inch loop
"vmov.s32 q6, #0 \n"
"vmov.s32 q7, #0 \n"
"lsr r4, %6, #2 \n"// r4 = nn = inch >> 2
"cmp r4, #0 \n"
"beq 1f \n"
"0: \n"// for(; nn != 0; nn--)
"pld [%1, #128] \n"
"vld1.s8 {d4-d7}, [%1]! \n"// tmpr a00-a07,a10-a17,a20-a27,a30-a37 a(inch)(data)
"vmovl.s8 q5, d7 \n"// a30-a37
"vmovl.s8 q4, d6 \n"// a20-a27
"vmovl.s8 q3, d5 \n"// a10-a17
"vmovl.s8 q2, d4 \n"// a00-a07
"vld1.s8 {d0}, [%2] \n"// kptr k00,k01,k02,k03 k(outch)(inch)
"vmovl.s8 q0, d0 \n"// k00,k01,k02,k03
"add %2, #4 \n"
"vmlal.s16 q6, d4, d0[0] \n"// (a00-a07) * k00
"vmlal.s16 q7, d5, d0[0] \n"
"vmlal.s16 q6, d6, d0[1] \n"// (a10-a17) * k01
"vmlal.s16 q7, d7, d0[1] \n"
"vmlal.s16 q6, d8, d0[2] \n"// (a20-a27) * k02
"vmlal.s16 q7, d9, d0[2] \n"
"vmlal.s16 q6, d10, d0[3] \n"// (a30-a37) * k03
"vmlal.s16 q7, d11, d0[3] \n"
"subs r4, r4, #1 \n"
"bne 0b \n"// end for
"1: \n"
// remain loop
"and r4, %6, #3 \n"// r4 = remain = inch & 3
"cmp r4, #0 \n"
"beq 3f \n"
"2: \n"// for(; remain != 0; remain--)
"vld1.s8 {d2}, [%1]! \n"// tmpr a00-a07 a(inch)(data)
"vld1.s8 {d0}, [%2] \n"// kptr k00 k(outch)(inch)
"vmovl.s8 q1, d2 \n"
"vmovl.s8 q0, d0 \n"
"add %2, #1 \n"
"vmlal.s16 q6, d2, d0[0] \n"// (a00-a07) * k00
"vmlal.s16 q7, d3, d0[0] \n"
"subs r4, r4, #1 \n"
"bne 2b \n"
"3: \n"// store the result to memory
// top_s32 -> top_f32
"vcvt.f32.s32 q6, q6 \n"
"vcvt.f32.s32 q7, q7 \n"
// top_f32 = top_f32 * scale_in
"vmul.f32 q6, q6, %q8 \n"
"vmul.f32 q7, q7, %q8 \n"
// top_f32 = top_f32 + bias
"vadd.f32 q6, q6, %q7 \n"
"vadd.f32 q7, q7, %q7 \n"
// top_f32 = top_f32 * scale_out
"vmul.f32 q0, q6, %q9 \n"
"vmul.f32 q1, q7, %q9 \n"
// top_f32 -> top_s32
"vcvtr.s32.f32 s0, s0 \n"
"vcvtr.s32.f32 s1, s1 \n"
"vcvtr.s32.f32 s2, s2 \n"
"vcvtr.s32.f32 s3, s3 \n"
"vcvtr.s32.f32 s4, s4 \n"
"vcvtr.s32.f32 s5, s5 \n"
"vcvtr.s32.f32 s6, s6 \n"
"vcvtr.s32.f32 s7, s7 \n"
// top_s32 -> top_s16
"vqmovn.s32 d12, q0 \n"
"vqmovn.s32 d13, q1 \n"
// top_s16 -> top_s8
"vqmovn.s16 d12, q6 \n"
// save top_s8
"vst1.8 {d12}, [%0]! \n"
: "=r"(outptr0), // %0
"=r"(tmpptr), // %1
"=r"(kptr) // %2
: "0"(outptr0),
"1"(tmpptr),
"2"(kptr),
"r"(inch), // %6
"w"(_bias0), // %7
"w"(_scale_in), // %8
"w"(_scale_out) // %9
: "cc", "memory", "r4", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7"
);
#else
int sum0 = 0;
int sum1 = 0;
int sum2 = 0;
int sum3 = 0;
int sum4 = 0;
int sum5 = 0;
int sum6 = 0;
int sum7 = 0;
for (int q=0; q<inch; q++)
{
sum0 += tmpptr[0] * kptr[0];
sum1 += tmpptr[1] * kptr[0];
sum2 += tmpptr[2] * kptr[0];
sum3 += tmpptr[3] * kptr[0];
sum4 += tmpptr[4] * kptr[0];
sum5 += tmpptr[5] * kptr[0];
sum6 += tmpptr[6] * kptr[0];
sum7 += tmpptr[7] * kptr[0];
tmpptr += 8;
kptr++;
}
outptr0[0] = sum0;
outptr0[1] = sum1;
outptr0[2] = sum2;
outptr0[3] = sum3;
outptr0[4] = sum4;
outptr0[5] = sum5;
outptr0[6] = sum6;
outptr0[7] = sum7;
outptr0 += 8;
#endif // __ARM_NEON
}
for (; i+3<size; i+=4)
{
const signed char* tmpptr = tmp.channel(i/8 + (i%8)/4);
const signed char* kptr = kernel.channel(p/4 + p%4);
#if __ARM_NEON
asm volatile(
// inch loop
"vmov.s32 q6, #0 \n"
"lsr r4, %6, #2 \n"// r4 = nn = inch >> 2
"cmp r4, #0 \n"
"beq 1f \n"
"0: \n"// for(; nn != 0; nn--)
"pld [%2, #128] \n"
"vld1.s8 {d4-d5}, [%1]! \n"// tmpr a00-a03,a10-a13,a20-a23,a30-a33 a(inch)(data)
"vmovl.s8 q3, d5 \n"// a20-a23,a30-a33
"vmovl.s8 q2, d4 \n"// a00-a03,a10-a13
"vld1.s8 {d0}, [%2] \n"// kptr k00,k01,k02,k03 k(outch)(inch)
"vmovl.s8 q0, d0 \n"// k00,k01,k02,k03
"add %2, #4 \n"
"vmlal.s16 q6, d4, d0[0] \n"// (a00-a03) * k00
"vmlal.s16 q6, d5, d0[1] \n"// (a10-a13) * k01
"vmlal.s16 q6, d6, d0[2] \n"// (a20-a23) * k02
"vmlal.s16 q6, d7, d0[3] \n"// (a30-a33) * k03
"subs r4, r4, #1 \n"
"bne 0b \n"// end for
"1: \n"
// remain loop
"and r4, %6, #3 \n"// r4 = remain = inch & 3
"cmp r4, #0 \n"
"beq 3f \n"
"2: \n"// for(; remain != 0; remain--)
"vld1.s8 {d2}, [%1] \n"// tmpr a00-a03 a(inch)(data)
"vld1.s8 {d0}, [%2] \n"// kptr k00 k(outch)(inch)
"vmovl.s8 q1, d2 \n"
"vmovl.s8 q0, d0 \n"
"add %1, #4 \n"
"add %2, #1 \n"
"vmlal.s16 q6, d2, d0[0] \n"// (a00-a03) * k00
"subs r4, r4, #1 \n"
"bne 2b \n"
"3: \n"// store the result to memory
// top_s32 -> top_f32
"vcvt.f32.s32 q6, q6 \n"
// top_f32 = top_f32 * scale_in
"vmul.f32 q6, q6, %q8 \n"
// top_f32 = top_f32 + bias
"vadd.f32 q6, q6, %q7 \n"
// top_f32 = top_f32 * scale_out
"vmul.f32 q0, q6, %q9 \n"
// top_f32 -> top_s32
"vcvtr.s32.f32 s0, s0 \n"
"vcvtr.s32.f32 s1, s1 \n"
"vcvtr.s32.f32 s2, s2 \n"
"vcvtr.s32.f32 s3, s3 \n"
// top_s32 -> top_s16
"vqmovn.s32 d12, q0 \n"
// top_s16 -> top_s8
"vqmovn.s16 d12, q6 \n"
"vst1.s32 {d12[0]}, [%0]! \n"
: "=r"(outptr0), // %0
"=r"(tmpptr), // %1
"=r"(kptr) // %2
: "0"(outptr0),
"1"(tmpptr),
"2"(kptr),
"r"(inch), // %6
"w"(_bias0), // %7
"w"(_scale_in), // %8
"w"(_scale_out) // %9
: "cc", "memory", "r4", "q0", "q1", "q2", "q3", "q4", "q5", "q6"
);
#else
int sum0 = 0;
int sum1 = 0;
int sum2 = 0;
int sum3 = 0;
for (int q=0; q<inch; q++)
{
sum0 += tmpptr[0] * kptr[0];
sum1 += tmpptr[1] * kptr[0];
sum2 += tmpptr[2] * kptr[0];
sum3 += tmpptr[3] * kptr[0];
tmpptr += 4;
kptr++;
}
outptr0[0] = sum0;
outptr0[1] = sum1;
outptr0[2] = sum2;
outptr0[3] = sum3;
outptr0 += 4;
#endif // __ARM_NEON
}
for (; i<size; i++)
{
const signed char* tmpptr = tmp.channel(i/8 + (i%8)/4 + i%4);
const signed char* kptr = kernel.channel(p/4 + p%4);
int q = 0;
int sum0 = 0;
for (; q<inch; q++)
{
sum0 += tmpptr[0] * kptr[0];
tmpptr++;
kptr++;
}
outptr0[0] = sum0;
outptr0++;
}
}
}
#endif
static void conv1x1s1_int8_neon(const Mat &bottom_blob, Mat &top_blob, const Mat &_kernel, const Option& opt)
{
int kernel_w = 1;
int kernel_h = 1;
int stride_w = 1;
int stride_h = 1;
conv_im2col_sgemm_int8_neon(bottom_blob, top_blob, _kernel, kernel_w, kernel_h, stride_w, stride_h, opt);
}
static void conv1x1s2_int8_neon(const Mat &bottom_blob, Mat &top_blob, const Mat &_kernel, const Option& opt)
{
int kernel_w = 1;
int kernel_h = 1;
int stride_w = 2;
int stride_h = 2;
conv_im2col_sgemm_int8_neon(bottom_blob, top_blob, _kernel, kernel_w, kernel_h, stride_w, stride_h, opt);
}
|
nvptx_device_math_complex.c | // REQUIRES: nvptx-registered-target
// RUN: %clang_cc1 -verify -fopenmp -x c++ -triple powerpc64le-unknown-unknown -fopenmp-targets=nvptx64-nvidia-cuda -emit-llvm-bc %s -o %t-ppc-host.bc
// RUN: %clang_cc1 -verify -fopenmp -x c++ -triple nvptx64-unknown-unknown -fopenmp-targets=nvptx64-nvidia-cuda -emit-llvm %s -fopenmp-is-device -fopenmp-host-ir-file-path %t-ppc-host.bc -o - | FileCheck %s
// expected-no-diagnostics
// CHECK-DAG: call { float, float } @__divsc3(
// CHECK-DAG: call { float, float } @__mulsc3(
void test_scmplx(float _Complex a) {
#pragma omp target
{
(void)(a * (a / a));
}
}
// CHECK-DAG: call { double, double } @__divdc3(
// CHECK-DAG: call { double, double } @__muldc3(
void test_dcmplx(double _Complex a) {
#pragma omp target
{
(void)(a * (a / a));
}
}
|
test.c | #include <stdlib.h>
#include <stdio.h>
#include "../utilities/check.h"
#define PRINT(_args...)
//#define PRINT(_args...) printf(_args)
#define N 64
#define TRY_TASK 1
#define TASK_COMPUTE 1
int main ()
{
int a[N], aa[N];
int b[N], bb[N];
int c[N], cc[N];
int d[N], dd[N];
int e[N], ee[N];
int i, errors;
int cond = 0;
check_offloading();
// init
for(i=0; i<N; i++) {
a[i] = aa[i] = i+1;
b[i] = bb[i] = 2*i +1;
}
// target starts 1 team and many threads in it
#pragma omp target map(tofrom: a, b)
{
#pragma omp parallel num_threads(64)
{
int id = omp_get_thread_num();
a[id]++;
#pragma omp task firstprivate(id) shared(b)
{
PRINT("hi alex from %d\n", id);
int id = omp_get_thread_num();
b[id]++;
#pragma omp task firstprivate(id) shared(b)
{
PRINT("hi alex from %d\n", id);
int id = omp_get_thread_num();
b[id]++;
#pragma omp task firstprivate(id) shared(b)
{
PRINT("hi alex from %d\n", id);
int id = omp_get_thread_num();
b[id]++;
}
// wait for child to finish
#pragma omp taskwait
}
// wait for child to finish
#pragma omp taskwait
}
}
}
// reproduce
for(i=0; i<N; i++) {
aa[i]++;
bb[i]+=3;
}
// verify
errors = 0;
for(i=0; i<N; i++) {
if (a[i] != aa[i]) printf("%4i: got a %d, expected %d, error %d\n", i, a[i], aa[i], ++errors);
if (b[i] != bb[i]) printf("%4i: got b %d, expected %d, error %d\n", i, b[i], bb[i], ++errors);
}
printf("got %d errors\n", errors);
return 0;
}
|
SpatialFullConvolution.c | #ifndef TH_GENERIC_FILE
#define TH_GENERIC_FILE "generic/SpatialFullConvolution.c"
#else
static int nn_(SpatialFullConvolution_updateOutput)(lua_State *L)
{
THTensor *input = luaT_checkudata(L, 2, torch_Tensor);
int dW = luaT_getfieldcheckint(L, 1, "dW");
int dH = luaT_getfieldcheckint(L, 1, "dH");
THTensor *weight = luaT_getfieldcheckudata(L, 1, "weight", torch_Tensor);
THTensor *bias = luaT_getfieldcheckudata(L, 1, "bias", torch_Tensor);
THTensor *output = luaT_getfieldcheckudata(L, 1, "output", torch_Tensor);
luaL_argcheck(L, input->nDimension == 3 || input->nDimension == 4, 2, "3D or 4D(batch mode) tensor expected");
int dimw = 2;
int dimh = 1;
if (input->nDimension == 4) {
dimw++;
dimh++;
}
long nOutputPlane = weight->size[1];
long kW = weight->size[3];
long kH = weight->size[2];
long inputWidth = input->size[dimw];
long inputHeight = input->size[dimh];
long outputWidth = (inputWidth - 1) * dW + kW;
long outputHeight = (inputHeight - 1) * dH + kH;
if (input->nDimension == 3)
{
THTensor_(resize3d)(output, nOutputPlane, outputHeight, outputWidth);
/* add bias */
long i;
real* bias_data = THTensor_(data)(bias);
real* output_data = THTensor_(data)(output);
#pragma omp parallel for private(i)
for (i=0; i<bias->size[0]; i++)
{
/*THTensor_(select)(outn,output,0,i);*/
/*TH_TENSOR_APPLY(real,outn, *outn_data = bias_data[i];);*/
real *ptr_output = output_data + i*outputWidth*outputHeight;
long j;
for(j = 0; j < outputWidth*outputHeight; j++)
ptr_output[j] = bias_data[i];
}
/* do convolutions */
THTensor *tweight = THTensor_(newTranspose)(weight,0,1);
THTensor_(conv2Dmv)(output, 1.0, 1.0, input, tweight, dH, dW, "F", "C");
THTensor_(free)(tweight);
}
else
{
THTensor_(resize4d)(output, input->size[0], nOutputPlane, outputHeight, outputWidth);
real* bias_data = THTensor_(data)(bias);
real* output_data = THTensor_(data)(output);
long p;
#pragma omp parallel for private(p)
for (p=0; p<input->size[0]; p++)
{
/* BIAS */
long i;
for (i=0; i<bias->size[0]; i++)
{
real *ptr_output = output_data + p*nOutputPlane*outputWidth*outputHeight + i*outputWidth*outputHeight;
long j;
for(j = 0; j < outputWidth*outputHeight; j++)
ptr_output[j] = bias_data[i];
}
}
/* do convolutions */
THTensor *tweight = THTensor_(newTranspose)(weight,0,1);
THTensor_(conv2Dmm)(output, 1.0, 1.0, input, tweight, dH, dW, "F", "C");
THTensor_(free)(tweight);
}
return 1;
}
static int nn_(SpatialFullConvolution_updateGradInput)(lua_State *L)
{
THTensor *input = luaT_checkudata(L, 2, torch_Tensor);
THTensor *gradOutput = luaT_checkudata(L, 3, torch_Tensor);
int dW = luaT_getfieldcheckint(L, 1, "dW");
int dH = luaT_getfieldcheckint(L, 1, "dH");
THTensor *weight = luaT_getfieldcheckudata(L, 1, "weight", torch_Tensor);
THTensor *gradInput = luaT_getfieldcheckudata(L, 1, "gradInput", torch_Tensor);
long nOutputPlane = weight->size[1];
THArgCheck( nOutputPlane == gradOutput->size[input->nDimension == 4 ? 1 : 0], 1, "Number of output features is not equal to nOutputPlane" );
if (input->nDimension == 3)
{
/* gradient to input */
THTensor_(conv2Dmv)(gradInput, 0.0, 1.0, gradOutput, weight, dH, dW, "V", "X");
}
else
{
/* gradient to input */
THTensor_(conv2Dmm)(gradInput, 0.0, 1.0, gradOutput, weight, dH, dW, "V", "X");
}
return 1;
}
static int nn_(SpatialFullConvolution_accGradParameters)(lua_State *L)
{
THTensor *input = luaT_checkudata(L, 2, torch_Tensor);
THTensor *gradOutput = luaT_checkudata(L, 3, torch_Tensor);
real scale = luaL_optnumber(L, 4, 1);
int dW = luaT_getfieldcheckint(L, 1, "dW");
int dH = luaT_getfieldcheckint(L, 1, "dH");
THTensor *weight = luaT_getfieldcheckudata(L, 1, "weight", torch_Tensor);
THTensor *gradWeight = luaT_getfieldcheckudata(L, 1, "gradWeight", torch_Tensor);
THTensor *gradBias = luaT_getfieldcheckudata(L, 1, "gradBias", torch_Tensor);
long nOutputPlane = weight->size[1];
THArgCheck( nOutputPlane == gradOutput->size[input->nDimension == 4 ? 1 : 0], 1, "Number of output features is not equal to nOutputPlane" );
int dimw = 2;
int dimh = 1;
if (input->nDimension == 4)
{
dimw++;
dimh++;
}
/* gradient to bias */
real *gradBias_data = THTensor_(data)(gradBias);
real *gradOutput_data = THTensor_(data)(gradOutput);
long noutSlice = gradOutput->size[dimh]*gradOutput->size[dimw];
/*THTensor* gradOutSlice = THTensor_(new)();*/
if (input->nDimension == 3)
{
long k;
#pragma omp parallel for private(k)
for(k = 0; k < nOutputPlane; k++)
{
/*THTensor_(select)(gradOutSlice, gradOutput, 0, k);*/
real *ptr_gradOutput = gradOutput_data + k*noutSlice;
long l;
for(l = 0; l < noutSlice; l++)
gradBias_data[k] += scale*ptr_gradOutput[l];
}
/* gradient to kernels */
THTensor_(conv2DRevger)(gradWeight, 1.0, scale, gradOutput, input, dH, dW);
}
else
{
long k;
#pragma omp parallel for private(k)
for(k = 0; k < nOutputPlane; k++)
{
long p;
for(p = 0; p < input->size[0]; p++)
{
/* BIAS */
real *ptr_gradOutput = gradOutput_data + p*nOutputPlane*noutSlice + k*noutSlice;
long l;
for(l = 0; l < noutSlice; l++)
gradBias_data[k] += scale*ptr_gradOutput[l];
}
}
/* gradient to kernels */
THTensor_(conv2DRevgerm)(gradWeight, 1.0, scale, gradOutput, input, dH, dW);
}
return 0;
}
static const struct luaL_Reg nn_(SpatialFullConvolution__) [] = {
{"SpatialFullConvolution_updateOutput", nn_(SpatialFullConvolution_updateOutput)},
{"SpatialFullConvolution_updateGradInput", nn_(SpatialFullConvolution_updateGradInput)},
{"SpatialFullConvolution_accGradParameters", nn_(SpatialFullConvolution_accGradParameters)},
{NULL, NULL}
};
static void nn_(SpatialFullConvolution_init)(lua_State *L)
{
luaT_pushmetatable(L, torch_Tensor);
luaT_registeratname(L, nn_(SpatialFullConvolution__), "nn");
lua_pop(L,1);
}
#endif
|
3d25pt.c | /*
* Order-2, 3D 25 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)
#ifndef min
#define min(x,y) ((x) < (y)? (x) : (y))
#endif
/* 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])+8;
Ny = atoi(argv[2])+8;
Nz = atoi(argv[3])+8;
}
if (argc > 4)
Nt = atoi(argv[4]);
double ****A = (double ****) malloc(sizeof(double***)*2);
double ***roc2 = (double ***) malloc(sizeof(double**));
A[0] = (double ***) malloc(sizeof(double**)*Nz);
A[1] = (double ***) malloc(sizeof(double**)*Nz);
roc2 = (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);
roc2[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);
roc2[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] = 32;
tile_size[3] = 256;
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);
roc2[i][j][k] = 2.0 * (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
const double coef0 = -0.28472;
const double coef1 = 0.16000;
const double coef2 = -0.02000;
const double coef3 = 0.00254;
const double coef4 = -0.00018;
for(test=0; test<TESTS; test++){
gettimeofday(&start, 0);
// serial execution - Addition: 6 && Multiplication: 2
#pragma scop
for (t = 0; t < Nt; t++) {
for (i = 4; i < Nz-4; i++) {
for (j = 4; j < Ny-4; j++) {
for (k = 4; k < Nx-4; k++) {
A[(t+1)%2][i][j][k] = 2.0*A[t%2][i][j][k] - A[(t+1)%2][i][j][k] + roc2[i][j][k]*(
coef0* A[t%2][i ][j ][k ] +
coef1*(A[t%2][i-1][j ][k ] + A[t%2][i+1][j ][k ] +
A[t%2][i ][j-1][k ] + A[t%2][i ][j+1][k ] +
A[t%2][i ][j ][k-1] + A[t%2][i ][j ][k+1]) +
coef2*(A[t%2][i-2][j ][k ] + A[t%2][i+2][j ][k ] +
A[t%2][i ][j-2][k ] + A[t%2][i ][j+2][k ] +
A[t%2][i ][j ][k-2] + A[t%2][i ][j ][k+2]) +
coef3*(A[t%2][i-3][j ][k ] + A[t%2][i+3][j ][k ] +
A[t%2][i ][j-3][k ] + A[t%2][i ][j+3][k ] +
A[t%2][i ][j ][k-3] + A[t%2][i ][j ][k+3]) +
coef4*(A[t%2][i-4][j ][k ] + A[t%2][i+4][j ][k ] +
A[t%2][i ][j-4][k ] + A[t%2][i ][j+4][k ] +
A[t%2][i ][j ][k-4] + A[t%2][i ][j ][k+4]) );
}
}
}
}
#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(4, "constant")
#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(roc2[i][j]);
}
free(A[0][i]);
free(A[1][i]);
free(roc2[i]);
}
free(A[0]);
free(A[1]);
free(roc2);
return 0;
}
|
oskar_dftw_c2c_2d_omp.c | /*
* Copyright (c) 2013, The University of Oxford
* 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.
* 3. Neither the name of the University of Oxford 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 THE COPYRIGHT HOLDER 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 "math/oskar_dftw_c2c_2d_omp.h"
#include <math.h>
#ifdef __cplusplus
extern "C" {
#endif
/* Single precision. */
void oskar_dftw_c2c_2d_omp_f(const int n_in, const float wavenumber,
const float* x_in, const float* y_in, const float2* weights_in,
const int n_out, const float* x_out, const float* y_out,
const float2* data, float2* output)
{
int i_out = 0;
/* Loop over output points. */
#pragma omp parallel for private(i_out)
for (i_out = 0; i_out < n_out; ++i_out)
{
int i;
float xp_out, yp_out;
float2 out;
/* Clear output value. */
out.x = 0.0f;
out.y = 0.0f;
/* Get the output position. */
xp_out = wavenumber * x_out[i_out];
yp_out = wavenumber * y_out[i_out];
/* Loop over input points. */
for (i = 0; i < n_in; ++i)
{
float2 temp, w;
float a;
/* Calculate the phase for the output position. */
a = xp_out * x_in[i] + yp_out * y_in[i];
temp.x = cosf(a);
temp.y = sinf(a);
/* Multiply the supplied DFT weight by the computed phase. */
w = weights_in[i];
a = w.x;
w.x *= temp.x;
w.x -= w.y * temp.y;
w.y *= temp.x;
w.y += a * temp.y;
/* Perform complex multiply-accumulate. */
temp = data[i * n_out + i_out];
out.x += w.x * temp.x;
out.x -= w.y * temp.y;
out.y += w.y * temp.x;
out.y += w.x * temp.y;
}
/* Store the output point. */
output[i_out] = out;
}
}
/* Double precision. */
void oskar_dftw_c2c_2d_omp_d(const int n_in, const double wavenumber,
const double* x_in, const double* y_in, const double2* weights_in,
const int n_out, const double* x_out, const double* y_out,
const double2* data, double2* output)
{
int i_out = 0;
/* Loop over output points. */
#pragma omp parallel for private(i_out)
for (i_out = 0; i_out < n_out; ++i_out)
{
int i;
double xp_out, yp_out;
double2 out;
/* Clear output value. */
out.x = 0.0;
out.y = 0.0;
/* Get the output position. */
xp_out = wavenumber * x_out[i_out];
yp_out = wavenumber * y_out[i_out];
/* Loop over input points. */
for (i = 0; i < n_in; ++i)
{
double2 temp, w;
double a;
/* Calculate the phase for the output position. */
a = xp_out * x_in[i] + yp_out * y_in[i];
temp.x = cos(a);
temp.y = sin(a);
/* Multiply the supplied DFT weight by the computed phase. */
w = weights_in[i];
a = w.x;
w.x *= temp.x;
w.x -= w.y * temp.y;
w.y *= temp.x;
w.y += a * temp.y;
/* Perform complex multiply-accumulate. */
temp = data[i * n_out + i_out];
out.x += w.x * temp.x;
out.x -= w.y * temp.y;
out.y += w.y * temp.x;
out.y += w.x * temp.y;
}
/* Store the output point. */
output[i_out] = out;
}
}
#ifdef __cplusplus
}
#endif
|
search.c | #include "incs.h"
#include "preproc_j.h"
#include "check.h"
#include "search_j.h"
#include "search.h"
extern config_t g_C;
extern double *g_best_metrics;
extern uint32_t *g_best_yvals;
extern uint32_t *g_best_yidxs;
extern four_nums_t *g_best_num4s;
extern bool *g_is_splittables;
int
search(
uint64_t ** restrict Y, /* [m][lb..ub-1] */
uint32_t lb,
uint32_t ub,
uint32_t nT,
uint32_t nH,
uint32_t m,
uint32_t n,
uint32_t *ptr_feature_for_split, // output
uint32_t *ptr_yval_for_split, // output
uint32_t *ptr_yidx_for_split, // output
four_nums_t *ptr_num4_for_split, // output
bool *ptr_is_splittable // output, tells us whether above 4 are defined
)
{
int status = 0;
double *metrics = g_best_metrics;
uint32_t *yval = g_best_yvals;
uint32_t *yidx = g_best_yidxs;
four_nums_t *num4 = g_best_num4s;
bool *is_splittable = g_is_splittables;
int nP = g_C.num_cores;
#ifdef SEQUENTIAL
nP = 1;
#endif
// set some invalid value for the outputs
double best_metric = -1;
uint32_t best_feature = -1;
uint32_t best_yval = 0;
uint32_t best_yidx = ~0;
four_nums_t best_num4; memset(&best_num4, 0, sizeof(four_nums_t));
#pragma omp parallel for schedule(dynamic, 1) num_threads(nP)
for ( uint32_t j = 0; j < m; j++ ) { // search each feature
int lstatus; // used because we cannot break out of omp loop
lstatus = search_j(Y[j], j, lb, ub, m, n, nT, nH, &(num4[j]),
&(yval[j]), &(yidx[j]), &(metrics[j]), &(is_splittable[j]));
if ( lstatus < 0 ) { status = lstatus; }
}
cBYE(status);
// At this point, you have found best split for *each* feature
// Find best split over all features
// starting assumption is that none of the features have a valid split
*ptr_is_splittable = false;
// iterate over all features
for ( uint32_t j = 0; j < m; j++ ) {
if ( !is_splittable[j] ) { continue; }
if ( ( *ptr_is_splittable == false ) || // allows first one through
( metrics[j] > best_metric ) ) {
best_feature = j;
best_metric = metrics[j];
best_yval = yval[j];;
best_yidx = yidx[j];
memcpy(&best_num4, &(num4[j]), sizeof(four_nums_t));
*ptr_is_splittable = true;
}
}
//-----------------------------------------------
if ( g_C.is_debug ) {
if ( best_feature >= m ) { go_BYE(-1); }
if ( best_yidx >= ub ) { go_BYE(-1); }
if ( best_yidx < lb ) { go_BYE(-1); }
}
// Note that the following are meaingful *ONLY* if
// *ptr_is_splittable = true
*ptr_feature_for_split = best_feature;
*ptr_yval_for_split = best_yval;
*ptr_num4_for_split = best_num4;
*ptr_yidx_for_split = best_yidx + 1;
// Above +1 is important. Because we calculate as inclusive
// but when we use as an upper bound it is exclusive
BYE:
return status;
}
|
neuron.h | //Copyright[2019][Gaganov Ilya]
//Licensed under the Apache License, Version 2.0
#pragma once
#include "activation_function.h"
#include <iostream>
#include <fstream>
#include <vector>
#include <random>
#include <omp.h>
#include <iterator>
#include <algorithm>
#include <numeric>
#include <memory>
#include <iomanip>
#include "optimization.h"
using namespace std;
bool f_abs_sort(const double &a, const double &b)
{
return (fabs(a) <= fabs(b));
}
class neuron
{
public:
//Creation of a neuron with random filling of scales
neuron(const size_t &N)
{
random_device rd;
std::mt19937 gen(rd());
uniform_real_distribution<> urd(-1, 1);
w.resize(N + 1);
generate(w.begin(), w.end(), [&]() {return urd(gen); });
}
//Creating a neuron by reading weights from a file
neuron(ifstream& open_file)
{
size_t size_w;
open_file >> size_w;
w.resize(size_w);
w.shrink_to_fit();
for (size_t i = 0; i < size_w; ++i)
open_file >> w[i];
}
//copy weights constructor
neuron(const vector <double> &new_w)
{
w.resize(new_w.size());
copy(new_w.cbegin(), new_w.cend(), w.begin());
}
//copy constructor
neuron(const neuron &a)
{
w.resize(a.w.size());
copy(a.w.cbegin(), a.w.cend(), w.begin());
}
//move constructor
neuron(neuron &&a) noexcept
{
w = move(a.w);
a.w.clear();
}
//derivative at the point
double get_d_out(const vector <double> &enter, const activation_function &func, const bool &correct_summation = false) const
{
const double sum = scalar_product(enter, correct_summation); //w[0]*enter[0] + w[1]*enter[1] + ...
return func->get_derivative_out(sum);
}
//The calculation of the derivative(momentum) for the weights
void derivate_w(const double &error, const vector <double> &enter, const activation_function &func, const bool& correct_summation = false)
{
const size_t N_w = w.size();
const double sum = scalar_product(enter, correct_summation); //w[0]*enter[0] + w[1]*enter[1] + ...
const double d_res_function_multiplied_error = func->get_derivative_out(sum) * error; // f'(sum) * error
for (size_t i = 0; i < N_w - 1; ++i)
{
#pragma omp atomic
optimization[i]->derivative += enter[i] * d_res_function_multiplied_error; // d[i] = d[i] + enter[i] * error * f'(sum)
}
#pragma omp atomic
optimization.back()->derivative -= d_res_function_multiplied_error;
return;
}
//change the weights after calculating the momentum
void correction_of_scales(const double& speed, const Settings &settings)
{
for (size_t i = 0; i < w.size(); ++i)
{
//w[i] -= speed * derivative[i]; //w[i] = w[i] - d[i]
optimization[i]->correction_of_scales(w[i], speed ,settings);
optimization[i]->derivative = 0.0; //zeroing to count the momentum at the next iteration
}
}
//calculate the value of the neuron
double get_out(const vector <double> &enter, const activation_function &func, const bool& correct_summation = false) const
{
const double sum = scalar_product(enter, correct_summation); //w[0]*enter[0] + w[1]*enter[1] + ...
return func->get_out(sum); //f(sum)
}
//outputs the number of weights (excluding the last)
size_t get_N(void) const
{
return w.size() - 1;
}
//randomly change the weights to a random value
void random_mutation(const double &speed)
{
const size_t N_w = w.size();
random_device rd;
std::mt19937 gen(rd());
std::uniform_real_distribution<> urd(-1, 1);
for (size_t i = 0; i < N_w; ++i)
w[i] += urd(gen) * speed;
}
//change of weights by a value commensurate with the value of weights
void smart_mutation(const double &speed)
{
if (speed >= 0 && speed <= 0)
return;
const size_t N_w = w.size();
random_device rd;
std::mt19937 gen(rd());
for (size_t i = 0; i < N_w; ++i)
{
std::uniform_real_distribution<> urd(w[i] - fabs(w[i] * speed), w[i] + fabs(w[i] * speed));
w[i] = urd(gen);
}
}
//operator = copy
neuron& operator= (const neuron &a)
{
if (this != &a)
{
w.resize(a.w.size());
copy(a.w.cbegin(), a.w.cend(), w.begin());
}
return *this;
}
////operator = move
neuron& operator= (neuron &&a) noexcept
{
if (this != &a)
{
w = move(a.w);
a.w.clear();
}
return *this;
}
friend class layer;
private:
//w[0]*enter[0] + w[1]*enter[1] + ...
double scalar_product(const vector <double>& enter, const bool& correct_summation) const
{
double sum;
if (correct_summation == false)
{
sum = inner_product(enter.cbegin(), enter.cend(), w.cbegin(), 0.0); ////w[0]*enter[0] + w[1]*enter[1] + ...
sum += -w.back();
}
else //before summing a large array of small numbers for accuracy they are sorted
{
vector <double> for_sum(w.size());
transform(enter.cbegin(), enter.cend(), w.cbegin(), for_sum.begin(), [](const double& a, const double& b) {return a * b; }); //for_sum[i] = enter[i] * w[i]
for_sum.back() = -w.back(); // for_sum[N_w - 1] = - 1 * w[N_w - 1]
sort(for_sum.begin(), for_sum.end(), f_abs_sort);
sum = accumulate(for_sum.cbegin(), for_sum.cend(), 0.0);
}
return sum;
}
//saving a neuron to a file
void save(ofstream& open_file) const
{
open_file << w.size() << endl;
for (size_t i = 0; i < w.size(); ++i)
open_file << scientific << setprecision(15) << w[i] << endl;
}
//the memory allocation for the counting of the pulse
void init_memory_for_train(const Settings &settings)
{
optimization.reserve(w.size());
for (size_t i = 0; i < w.size(); ++i)
optimization.push_back(get_optimization(settings.settings_optimization.mode));
}
//free memory after training
void delete_memory_after_train()
{
optimization.clear();
optimization.shrink_to_fit();
}
vector <double> w; //scales
vector <shared_ptr<base_class_optimization>> optimization;
}; |
distribution.h | #ifndef DISTRIBUTION_H
#define DISTRIBUTION_H
#include <cmath>
#include <omp.h>
const float delta_max = 1.0f;
#pragma omp declare simd
float dist_func(const float alpha, const float rn);
#endif |
producer-consumer.c | /* -*- mode: c; c-basic-offset: 2; tab-width: 2 -*- */
/* Simple test case with producer/consumer in 2 threads
Ronan.Keryell@silkan.com
*/
#include <stdio.h>
#include "../conditional_variable_openmp.h"
static int v = 0;
void producer(conditional_variable_t* nw) {
for(;;) {
COND_VAR_NOTIFY_WITH_OP(nw, {
// Increment a global variable inside the critical section
v++;
// Make sure the value is globally visible
_Pragma("omp flush(v)");
});
}
}
void consumer(conditional_variable_t* nw) {
for(;;) {
COND_VAR_WAIT_WITH_OP(nw, {
// Make sure we can get the last version of this global variable
_Pragma("omp flush(v)");
// Increment a global variable inside the critical section
printf("%d ", v);
fflush(stdout);
});
}
}
void main() {
conditional_variable_t nw;
conditional_variable_init(&nw);
// Create 2 threads
#pragma omp parallel num_threads(2)
{
#pragma omp sections
{
// Call the producer in the first thread
producer(&nw);
#pragma omp section
consumer(&nw);
// Call the consumer in the second thread
}
}
}
|
accuracy_cython.c | /* Generated by Cython 0.29.19 */
/* BEGIN: Cython Metadata
{
"distutils": {
"extra_compile_args": [
"-fopenmp",
"-ffast-math",
"-march=native"
],
"extra_link_args": [
"-fopenmp"
],
"name": "glove.metrics.accuracy_cython",
"sources": [
"glove/metrics/accuracy_cython.pyx"
]
},
"module_name": "glove.metrics.accuracy_cython"
}
END: Cython Metadata */
#define PY_SSIZE_T_CLEAN
#include "Python.h"
#ifndef Py_PYTHON_H
#error Python headers needed to compile C extensions, please install development version of Python.
#elif PY_VERSION_HEX < 0x02060000 || (0x03000000 <= PY_VERSION_HEX && PY_VERSION_HEX < 0x03030000)
#error Cython requires Python 2.6+ or Python 3.3+.
#else
#define CYTHON_ABI "0_29_19"
#define CYTHON_HEX_VERSION 0x001D13F0
#define CYTHON_FUTURE_DIVISION 0
#include <stddef.h>
#ifndef offsetof
#define offsetof(type, member) ( (size_t) & ((type*)0) -> member )
#endif
#if !defined(WIN32) && !defined(MS_WINDOWS)
#ifndef __stdcall
#define __stdcall
#endif
#ifndef __cdecl
#define __cdecl
#endif
#ifndef __fastcall
#define __fastcall
#endif
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#ifndef DL_IMPORT
#define DL_IMPORT(t) t
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#ifndef DL_EXPORT
#define DL_EXPORT(t) t
#endif
#define __PYX_COMMA ,
#ifndef HAVE_LONG_LONG
#if PY_VERSION_HEX >= 0x02070000
#define HAVE_LONG_LONG
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#ifndef PY_LONG_LONG
#define PY_LONG_LONG LONG_LONG
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#define Py_HUGE_VAL HUGE_VAL
#endif
#ifdef PYPY_VERSION
#define CYTHON_COMPILING_IN_PYPY 1
#define CYTHON_COMPILING_IN_PYSTON 0
#define CYTHON_COMPILING_IN_CPYTHON 0
#undef CYTHON_USE_TYPE_SLOTS
#define CYTHON_USE_TYPE_SLOTS 0
#undef CYTHON_USE_PYTYPE_LOOKUP
#define CYTHON_USE_PYTYPE_LOOKUP 0
#if PY_VERSION_HEX < 0x03050000
#undef CYTHON_USE_ASYNC_SLOTS
#define CYTHON_USE_ASYNC_SLOTS 0
#elif !defined(CYTHON_USE_ASYNC_SLOTS)
#define CYTHON_USE_ASYNC_SLOTS 1
#endif
#undef CYTHON_USE_PYLIST_INTERNALS
#define CYTHON_USE_PYLIST_INTERNALS 0
#undef CYTHON_USE_UNICODE_INTERNALS
#define CYTHON_USE_UNICODE_INTERNALS 0
#undef CYTHON_USE_UNICODE_WRITER
#define CYTHON_USE_UNICODE_WRITER 0
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#define CYTHON_AVOID_BORROWED_REFS 1
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#define CYTHON_ASSUME_SAFE_MACROS 0
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#define CYTHON_UNPACK_METHODS 0
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#define CYTHON_FAST_THREAD_STATE 0
#undef CYTHON_FAST_PYCALL
#define CYTHON_FAST_PYCALL 0
#undef CYTHON_PEP489_MULTI_PHASE_INIT
#define CYTHON_PEP489_MULTI_PHASE_INIT 0
#undef CYTHON_USE_TP_FINALIZE
#define CYTHON_USE_TP_FINALIZE 0
#undef CYTHON_USE_DICT_VERSIONS
#define CYTHON_USE_DICT_VERSIONS 0
#undef CYTHON_USE_EXC_INFO_STACK
#define CYTHON_USE_EXC_INFO_STACK 0
#elif defined(PYSTON_VERSION)
#define CYTHON_COMPILING_IN_PYPY 0
#define CYTHON_COMPILING_IN_PYSTON 1
#define CYTHON_COMPILING_IN_CPYTHON 0
#ifndef CYTHON_USE_TYPE_SLOTS
#define CYTHON_USE_TYPE_SLOTS 1
#endif
#undef CYTHON_USE_PYTYPE_LOOKUP
#define CYTHON_USE_PYTYPE_LOOKUP 0
#undef CYTHON_USE_ASYNC_SLOTS
#define CYTHON_USE_ASYNC_SLOTS 0
#undef CYTHON_USE_PYLIST_INTERNALS
#define CYTHON_USE_PYLIST_INTERNALS 0
#ifndef CYTHON_USE_UNICODE_INTERNALS
#define CYTHON_USE_UNICODE_INTERNALS 1
#endif
#undef CYTHON_USE_UNICODE_WRITER
#define CYTHON_USE_UNICODE_WRITER 0
#undef CYTHON_USE_PYLONG_INTERNALS
#define CYTHON_USE_PYLONG_INTERNALS 0
#ifndef CYTHON_AVOID_BORROWED_REFS
#define CYTHON_AVOID_BORROWED_REFS 0
#endif
#ifndef CYTHON_ASSUME_SAFE_MACROS
#define CYTHON_ASSUME_SAFE_MACROS 1
#endif
#ifndef CYTHON_UNPACK_METHODS
#define CYTHON_UNPACK_METHODS 1
#endif
#undef CYTHON_FAST_THREAD_STATE
#define CYTHON_FAST_THREAD_STATE 0
#undef CYTHON_FAST_PYCALL
#define CYTHON_FAST_PYCALL 0
#undef CYTHON_PEP489_MULTI_PHASE_INIT
#define CYTHON_PEP489_MULTI_PHASE_INIT 0
#undef CYTHON_USE_TP_FINALIZE
#define CYTHON_USE_TP_FINALIZE 0
#undef CYTHON_USE_DICT_VERSIONS
#define CYTHON_USE_DICT_VERSIONS 0
#undef CYTHON_USE_EXC_INFO_STACK
#define CYTHON_USE_EXC_INFO_STACK 0
#else
#define CYTHON_COMPILING_IN_PYPY 0
#define CYTHON_COMPILING_IN_PYSTON 0
#define CYTHON_COMPILING_IN_CPYTHON 1
#ifndef CYTHON_USE_TYPE_SLOTS
#define CYTHON_USE_TYPE_SLOTS 1
#endif
#if PY_VERSION_HEX < 0x02070000
#undef CYTHON_USE_PYTYPE_LOOKUP
#define CYTHON_USE_PYTYPE_LOOKUP 0
#elif !defined(CYTHON_USE_PYTYPE_LOOKUP)
#define CYTHON_USE_PYTYPE_LOOKUP 1
#endif
#if PY_MAJOR_VERSION < 3
#undef CYTHON_USE_ASYNC_SLOTS
#define CYTHON_USE_ASYNC_SLOTS 0
#elif !defined(CYTHON_USE_ASYNC_SLOTS)
#define CYTHON_USE_ASYNC_SLOTS 1
#endif
#if PY_VERSION_HEX < 0x02070000
#undef CYTHON_USE_PYLONG_INTERNALS
#define CYTHON_USE_PYLONG_INTERNALS 0
#elif !defined(CYTHON_USE_PYLONG_INTERNALS)
#define CYTHON_USE_PYLONG_INTERNALS 1
#endif
#ifndef CYTHON_USE_PYLIST_INTERNALS
#define CYTHON_USE_PYLIST_INTERNALS 1
#endif
#ifndef CYTHON_USE_UNICODE_INTERNALS
#define CYTHON_USE_UNICODE_INTERNALS 1
#endif
#if PY_VERSION_HEX < 0x030300F0
#undef CYTHON_USE_UNICODE_WRITER
#define CYTHON_USE_UNICODE_WRITER 0
#elif !defined(CYTHON_USE_UNICODE_WRITER)
#define CYTHON_USE_UNICODE_WRITER 1
#endif
#ifndef CYTHON_AVOID_BORROWED_REFS
#define CYTHON_AVOID_BORROWED_REFS 0
#endif
#ifndef CYTHON_ASSUME_SAFE_MACROS
#define CYTHON_ASSUME_SAFE_MACROS 1
#endif
#ifndef CYTHON_UNPACK_METHODS
#define CYTHON_UNPACK_METHODS 1
#endif
#ifndef CYTHON_FAST_THREAD_STATE
#define CYTHON_FAST_THREAD_STATE 1
#endif
#ifndef CYTHON_FAST_PYCALL
#define CYTHON_FAST_PYCALL 1
#endif
#ifndef CYTHON_PEP489_MULTI_PHASE_INIT
#define CYTHON_PEP489_MULTI_PHASE_INIT (PY_VERSION_HEX >= 0x03050000)
#endif
#ifndef CYTHON_USE_TP_FINALIZE
#define CYTHON_USE_TP_FINALIZE (PY_VERSION_HEX >= 0x030400a1)
#endif
#ifndef CYTHON_USE_DICT_VERSIONS
#define CYTHON_USE_DICT_VERSIONS (PY_VERSION_HEX >= 0x030600B1)
#endif
#ifndef CYTHON_USE_EXC_INFO_STACK
#define CYTHON_USE_EXC_INFO_STACK (PY_VERSION_HEX >= 0x030700A3)
#endif
#endif
#if !defined(CYTHON_FAST_PYCCALL)
#define CYTHON_FAST_PYCCALL (CYTHON_FAST_PYCALL && PY_VERSION_HEX >= 0x030600B1)
#endif
#if CYTHON_USE_PYLONG_INTERNALS
#include "longintrepr.h"
#undef SHIFT
#undef BASE
#undef MASK
#ifdef SIZEOF_VOID_P
enum { __pyx_check_sizeof_voidp = 1 / (int)(SIZEOF_VOID_P == sizeof(void*)) };
#endif
#endif
#ifndef __has_attribute
#define __has_attribute(x) 0
#endif
#ifndef __has_cpp_attribute
#define __has_cpp_attribute(x) 0
#endif
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typedef unsigned int uint32_t;
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#define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\
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#define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\
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#define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\
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#define PyMem_RawMalloc(n) PyMem_Malloc(n)
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#define __Pyx_PyCode_HasFreeVars(co) PyCode_HasFreeVars(co)
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#define Py_tss_NEEDS_INIT 0
typedef int Py_tss_t;
static CYTHON_INLINE int PyThread_tss_create(Py_tss_t *key) {
*key = PyThread_create_key();
return 0;
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static CYTHON_INLINE Py_tss_t * PyThread_tss_alloc(void) {
Py_tss_t *key = (Py_tss_t *)PyObject_Malloc(sizeof(Py_tss_t));
*key = Py_tss_NEEDS_INIT;
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static CYTHON_INLINE void PyThread_tss_free(Py_tss_t *key) {
PyObject_Free(key);
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static CYTHON_INLINE int PyThread_tss_is_created(Py_tss_t *key) {
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static CYTHON_INLINE void PyThread_tss_delete(Py_tss_t *key) {
PyThread_delete_key(*key);
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#define __Pyx_PyDict_NewPresized(n) ((n <= 8) ? PyDict_New() : _PyDict_NewPresized(n))
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#define __Pyx_PyNumber_Divide(x,y) PyNumber_TrueDivide(x,y)
#define __Pyx_PyNumber_InPlaceDivide(x,y) PyNumber_InPlaceTrueDivide(x,y)
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#define __Pyx_PyNumber_Divide(x,y) PyNumber_Divide(x,y)
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#define __Pyx_PyDict_GetItemStr(dict, name) _PyDict_GetItem_KnownHash(dict, name, ((PyASCIIObject *) name)->hash)
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#define __Pyx_PyDict_GetItemStr(dict, name) PyDict_GetItem(dict, name)
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#define CYTHON_PEP393_ENABLED 1
#define __Pyx_PyUnicode_READY(op) (likely(PyUnicode_IS_READY(op)) ?\
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#define __Pyx_PyUnicode_GET_LENGTH(u) PyUnicode_GET_LENGTH(u)
#define __Pyx_PyUnicode_READ_CHAR(u, i) PyUnicode_READ_CHAR(u, i)
#define __Pyx_PyUnicode_MAX_CHAR_VALUE(u) PyUnicode_MAX_CHAR_VALUE(u)
#define __Pyx_PyUnicode_KIND(u) PyUnicode_KIND(u)
#define __Pyx_PyUnicode_DATA(u) PyUnicode_DATA(u)
#define __Pyx_PyUnicode_READ(k, d, i) PyUnicode_READ(k, d, i)
#define __Pyx_PyUnicode_WRITE(k, d, i, ch) PyUnicode_WRITE(k, d, i, ch)
#define __Pyx_PyUnicode_IS_TRUE(u) (0 != (likely(PyUnicode_IS_READY(u)) ? PyUnicode_GET_LENGTH(u) : PyUnicode_GET_SIZE(u)))
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#define CYTHON_PEP393_ENABLED 0
#define PyUnicode_1BYTE_KIND 1
#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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#if CYTHON_COMPILING_IN_PYPY
#define __Pyx_PyUnicode_Concat(a, b) PyNumber_Add(a, b)
#define __Pyx_PyUnicode_ConcatSafe(a, b) PyNumber_Add(a, b)
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#define __Pyx_PyUnicode_Concat(a, b) PyUnicode_Concat(a, b)
#define __Pyx_PyUnicode_ConcatSafe(a, b) ((unlikely((a) == Py_None) || unlikely((b) == Py_None)) ?\
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#if CYTHON_COMPILING_IN_PYPY && !defined(PyUnicode_Contains)
#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 PyObject_Format(obj, fmt) PyObject_CallMethod(obj, "__format__", "O", fmt)
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#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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#define PyBaseString_Type PyUnicode_Type
#define PyStringObject PyUnicodeObject
#define PyString_Type PyUnicode_Type
#define PyString_Check PyUnicode_Check
#define PyString_CheckExact PyUnicode_CheckExact
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#define PyObject_Unicode PyObject_Str
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#if PY_MAJOR_VERSION >= 3
#define __Pyx_PyBaseString_Check(obj) PyUnicode_Check(obj)
#define __Pyx_PyBaseString_CheckExact(obj) PyUnicode_CheckExact(obj)
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#define __Pyx_PyBaseString_Check(obj) (PyString_Check(obj) || PyUnicode_Check(obj))
#define __Pyx_PyBaseString_CheckExact(obj) (PyString_CheckExact(obj) || PyUnicode_CheckExact(obj))
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#define __Pyx_PySequence_SIZE(seq) Py_SIZE(seq)
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#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
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#if PY_MAJOR_VERSION >= 3
#define PyBoolObject PyLongObject
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#if PY_MAJOR_VERSION >= 3 && CYTHON_COMPILING_IN_PYPY
#ifndef PyUnicode_InternFromString
#define PyUnicode_InternFromString(s) PyUnicode_FromString(s)
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#if PY_VERSION_HEX < 0x030200A4
typedef long Py_hash_t;
#define __Pyx_PyInt_FromHash_t PyInt_FromLong
#define __Pyx_PyInt_AsHash_t PyInt_AsLong
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#define __Pyx_PyInt_FromHash_t PyInt_FromSsize_t
#define __Pyx_PyInt_AsHash_t PyInt_AsSsize_t
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#define __Pyx_PyMethod_New(func, self, klass) ((self) ? PyMethod_New(func, self) : (Py_INCREF(func), func))
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#define __Pyx_PyMethod_New(func, self, klass) PyMethod_New(func, self, klass)
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#define __Pyx_PyAsyncMethodsStruct PyAsyncMethods
#define __Pyx_PyType_AsAsync(obj) (Py_TYPE(obj)->tp_as_async)
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#define __Pyx_PyType_AsAsync(obj) ((__Pyx_PyAsyncMethodsStruct*) (Py_TYPE(obj)->tp_reserved))
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#define __Pyx_PyType_AsAsync(obj) NULL
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#ifndef __Pyx_PyAsyncMethodsStruct
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unaryfunc am_aiter;
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} __Pyx_PyAsyncMethodsStruct;
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#define _USE_MATH_DEFINES
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#include <math.h>
#ifdef NAN
#define __PYX_NAN() ((float) NAN)
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static CYTHON_INLINE float __PYX_NAN() {
float value;
memset(&value, 0xFF, sizeof(value));
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#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_HAVE__glove__metrics__accuracy_cython
#define __PYX_HAVE_API__glove__metrics__accuracy_cython
/* Early includes */
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#include <string.h>
#include <stdlib.h>
#include <stdio.h>
#include "pystate.h"
#ifdef _OPENMP
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#if defined(PYREX_WITHOUT_ASSERTIONS) && !defined(CYTHON_WITHOUT_ASSERTIONS)
#define CYTHON_WITHOUT_ASSERTIONS
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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) (\
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(sizeof(type) > sizeof(Py_ssize_t) &&\
likely(v < (type)PY_SSIZE_T_MAX ||\
v == (type)PY_SSIZE_T_MAX) &&\
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v == (type)PY_SSIZE_T_MIN))) ||\
(sizeof(type) == sizeof(Py_ssize_t) &&\
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static CYTHON_INLINE int __Pyx_is_valid_index(Py_ssize_t i, Py_ssize_t limit) {
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#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)
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#define __Pyx_sst_abs(value) ((value<0) ? -value : value)
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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
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#define __Pyx_PyStr_FromString __Pyx_PyUnicode_FromString
#define __Pyx_PyStr_FromStringAndSize __Pyx_PyUnicode_FromStringAndSize
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#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[] = {
"glove/metrics/accuracy_cython.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;
size_t offset;
} __Pyx_StructField;
typedef struct {
__Pyx_StructField* field;
size_t parent_offset;
} __Pyx_BufFmt_StackElem;
typedef struct {
__Pyx_StructField root;
__Pyx_BufFmt_StackElem* head;
size_t fmt_offset;
size_t new_count, enc_count;
size_t struct_alignment;
int is_complex;
char enc_type;
char new_packmode;
char enc_packmode;
char is_valid_array;
} __Pyx_BufFmt_Context;
/*--- Type declarations ---*/
struct __pyx_array_obj;
struct __pyx_MemviewEnum_obj;
struct __pyx_memoryview_obj;
struct __pyx_memoryviewslice_obj;
/* "View.MemoryView":105
*
* @cname("__pyx_array")
* cdef class array: # <<<<<<<<<<<<<<
*
* cdef:
*/
struct __pyx_array_obj {
PyObject_HEAD
struct __pyx_vtabstruct_array *__pyx_vtab;
char *data;
Py_ssize_t len;
char *format;
int ndim;
Py_ssize_t *_shape;
Py_ssize_t *_strides;
Py_ssize_t itemsize;
PyObject *mode;
PyObject *_format;
void (*callback_free_data)(void *);
int free_data;
int dtype_is_object;
};
/* "View.MemoryView":279
*
* @cname('__pyx_MemviewEnum')
* cdef class Enum(object): # <<<<<<<<<<<<<<
* cdef object name
* def __init__(self, name):
*/
struct __pyx_MemviewEnum_obj {
PyObject_HEAD
PyObject *name;
};
/* "View.MemoryView":330
*
* @cname('__pyx_memoryview')
* cdef class memoryview(object): # <<<<<<<<<<<<<<
*
* cdef object obj
*/
struct __pyx_memoryview_obj {
PyObject_HEAD
struct __pyx_vtabstruct_memoryview *__pyx_vtab;
PyObject *obj;
PyObject *_size;
PyObject *_array_interface;
PyThread_type_lock lock;
__pyx_atomic_int acquisition_count[2];
__pyx_atomic_int *acquisition_count_aligned_p;
Py_buffer view;
int flags;
int dtype_is_object;
__Pyx_TypeInfo *typeinfo;
};
/* "View.MemoryView":965
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* @cname('__pyx_memoryviewslice')
* cdef class _memoryviewslice(memoryview): # <<<<<<<<<<<<<<
* "Internal class for passing memoryview slices to Python"
*
*/
struct __pyx_memoryviewslice_obj {
struct __pyx_memoryview_obj __pyx_base;
__Pyx_memviewslice from_slice;
PyObject *from_object;
PyObject *(*to_object_func)(char *);
int (*to_dtype_func)(char *, PyObject *);
};
/* "View.MemoryView":105
*
* @cname("__pyx_array")
* cdef class array: # <<<<<<<<<<<<<<
*
* cdef:
*/
struct __pyx_vtabstruct_array {
PyObject *(*get_memview)(struct __pyx_array_obj *);
};
static struct __pyx_vtabstruct_array *__pyx_vtabptr_array;
/* "View.MemoryView":330
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* @cname('__pyx_memoryview')
* cdef class memoryview(object): # <<<<<<<<<<<<<<
*
* cdef object obj
*/
struct __pyx_vtabstruct_memoryview {
char *(*get_item_pointer)(struct __pyx_memoryview_obj *, PyObject *);
PyObject *(*is_slice)(struct __pyx_memoryview_obj *, PyObject *);
PyObject *(*setitem_slice_assignment)(struct __pyx_memoryview_obj *, PyObject *, PyObject *);
PyObject *(*setitem_slice_assign_scalar)(struct __pyx_memoryview_obj *, struct __pyx_memoryview_obj *, PyObject *);
PyObject *(*setitem_indexed)(struct __pyx_memoryview_obj *, PyObject *, PyObject *);
PyObject *(*convert_item_to_object)(struct __pyx_memoryview_obj *, char *);
PyObject *(*assign_item_from_object)(struct __pyx_memoryview_obj *, char *, PyObject *);
};
static struct __pyx_vtabstruct_memoryview *__pyx_vtabptr_memoryview;
/* "View.MemoryView":965
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* @cname('__pyx_memoryviewslice')
* cdef class _memoryviewslice(memoryview): # <<<<<<<<<<<<<<
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*
*/
struct __pyx_vtabstruct__memoryviewslice {
struct __pyx_vtabstruct_memoryview __pyx_base;
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static struct __pyx_vtabstruct__memoryviewslice *__pyx_vtabptr__memoryviewslice;
/* --- Runtime support code (head) --- */
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void (*DECREF)(void*, PyObject*, int);
void (*GOTREF)(void*, PyObject*, int);
void (*GIVEREF)(void*, PyObject*, int);
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#define __Pyx_XDECREF(r) do { if((r) != NULL) {__Pyx_DECREF(r); }} while(0)
#define __Pyx_XGOTREF(r) do { if((r) != NULL) {__Pyx_GOTREF(r); }} while(0)
#define __Pyx_XGIVEREF(r) do { if((r) != NULL) {__Pyx_GIVEREF(r);}} while(0)
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#define __Pyx_RefNannyDeclarations
#define __Pyx_RefNannySetupContext(name, acquire_gil)
#define __Pyx_RefNannyFinishContext()
#define __Pyx_INCREF(r) Py_INCREF(r)
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#define __Pyx_GOTREF(r)
#define __Pyx_GIVEREF(r)
#define __Pyx_XINCREF(r) Py_XINCREF(r)
#define __Pyx_XDECREF(r) Py_XDECREF(r)
#define __Pyx_XGOTREF(r)
#define __Pyx_XGIVEREF(r)
#endif
#define __Pyx_XDECREF_SET(r, v) do {\
PyObject *tmp = (PyObject *) r;\
r = v; __Pyx_XDECREF(tmp);\
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#define __Pyx_DECREF_SET(r, v) do {\
PyObject *tmp = (PyObject *) r;\
r = v; __Pyx_DECREF(tmp);\
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#define __Pyx_CLEAR(r) do { PyObject* tmp = ((PyObject*)(r)); r = NULL; __Pyx_DECREF(tmp);} while(0)
#define __Pyx_XCLEAR(r) do { if((r) != NULL) {PyObject* tmp = ((PyObject*)(r)); r = NULL; __Pyx_DECREF(tmp);}} while(0)
/* PyObjectGetAttrStr.proto */
#if CYTHON_USE_TYPE_SLOTS
static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStr(PyObject* obj, PyObject* attr_name);
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#define __Pyx_PyObject_GetAttrStr(o,n) PyObject_GetAttr(o,n)
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/* GetBuiltinName.proto */
static PyObject *__Pyx_GetBuiltinName(PyObject *name);
/* RaiseArgTupleInvalid.proto */
static void __Pyx_RaiseArgtupleInvalid(const char* func_name, int exact,
Py_ssize_t num_min, Py_ssize_t num_max, Py_ssize_t num_found);
/* RaiseDoubleKeywords.proto */
static void __Pyx_RaiseDoubleKeywordsError(const char* func_name, PyObject* kw_name);
/* ParseKeywords.proto */
static int __Pyx_ParseOptionalKeywords(PyObject *kwds, PyObject **argnames[],\
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/* MemviewSliceInit.proto */
#define __Pyx_BUF_MAX_NDIMS %(BUF_MAX_NDIMS)d
#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
#define __Pyx_MEMVIEW_FOLLOW 32
#define __Pyx_IS_C_CONTIG 1
#define __Pyx_IS_F_CONTIG 2
static int __Pyx_init_memviewslice(
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int ndim,
__Pyx_memviewslice *memviewslice,
int memview_is_new_reference);
static CYTHON_INLINE int __pyx_add_acquisition_count_locked(
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static CYTHON_INLINE int __pyx_sub_acquisition_count_locked(
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#define __pyx_get_slice_count_pointer(memview) (memview->acquisition_count_aligned_p)
#define __pyx_get_slice_count(memview) (*__pyx_get_slice_count_pointer(memview))
#define __PYX_INC_MEMVIEW(slice, have_gil) __Pyx_INC_MEMVIEW(slice, have_gil, __LINE__)
#define __PYX_XDEC_MEMVIEW(slice, have_gil) __Pyx_XDEC_MEMVIEW(slice, have_gil, __LINE__)
static CYTHON_INLINE void __Pyx_INC_MEMVIEW(__Pyx_memviewslice *, int, int);
static CYTHON_INLINE void __Pyx_XDEC_MEMVIEW(__Pyx_memviewslice *, int, int);
/* ArgTypeTest.proto */
#define __Pyx_ArgTypeTest(obj, type, none_allowed, name, exact)\
((likely((Py_TYPE(obj) == type) | (none_allowed && (obj == Py_None)))) ? 1 :\
__Pyx__ArgTypeTest(obj, type, name, exact))
static int __Pyx__ArgTypeTest(PyObject *obj, PyTypeObject *type, const char *name, int exact);
/* PyObjectCall.proto */
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw);
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#define __Pyx_PyObject_Call(func, arg, kw) PyObject_Call(func, arg, kw)
#endif
/* PyThreadStateGet.proto */
#if CYTHON_FAST_THREAD_STATE
#define __Pyx_PyThreadState_declare PyThreadState *__pyx_tstate;
#define __Pyx_PyThreadState_assign __pyx_tstate = __Pyx_PyThreadState_Current;
#define __Pyx_PyErr_Occurred() __pyx_tstate->curexc_type
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#define __Pyx_PyThreadState_declare
#define __Pyx_PyThreadState_assign
#define __Pyx_PyErr_Occurred() PyErr_Occurred()
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/* PyErrFetchRestore.proto */
#if CYTHON_FAST_THREAD_STATE
#define __Pyx_PyErr_Clear() __Pyx_ErrRestore(NULL, NULL, NULL)
#define __Pyx_ErrRestoreWithState(type, value, tb) __Pyx_ErrRestoreInState(PyThreadState_GET(), type, value, tb)
#define __Pyx_ErrFetchWithState(type, value, tb) __Pyx_ErrFetchInState(PyThreadState_GET(), type, value, tb)
#define __Pyx_ErrRestore(type, value, tb) __Pyx_ErrRestoreInState(__pyx_tstate, type, value, tb)
#define __Pyx_ErrFetch(type, value, tb) __Pyx_ErrFetchInState(__pyx_tstate, type, value, tb)
static CYTHON_INLINE void __Pyx_ErrRestoreInState(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb);
static CYTHON_INLINE void __Pyx_ErrFetchInState(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb);
#if CYTHON_COMPILING_IN_CPYTHON
#define __Pyx_PyErr_SetNone(exc) (Py_INCREF(exc), __Pyx_ErrRestore((exc), NULL, NULL))
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#define __Pyx_PyErr_SetNone(exc) PyErr_SetNone(exc)
#endif
#else
#define __Pyx_PyErr_Clear() PyErr_Clear()
#define __Pyx_PyErr_SetNone(exc) PyErr_SetNone(exc)
#define __Pyx_ErrRestoreWithState(type, value, tb) PyErr_Restore(type, value, tb)
#define __Pyx_ErrFetchWithState(type, value, tb) PyErr_Fetch(type, value, tb)
#define __Pyx_ErrRestoreInState(tstate, type, value, tb) PyErr_Restore(type, value, tb)
#define __Pyx_ErrFetchInState(tstate, type, value, tb) PyErr_Fetch(type, value, tb)
#define __Pyx_ErrRestore(type, value, tb) PyErr_Restore(type, value, tb)
#define __Pyx_ErrFetch(type, value, tb) PyErr_Fetch(type, value, tb)
#endif
/* RaiseException.proto */
static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause);
/* PyCFunctionFastCall.proto */
#if CYTHON_FAST_PYCCALL
static CYTHON_INLINE PyObject *__Pyx_PyCFunction_FastCall(PyObject *func, PyObject **args, Py_ssize_t nargs);
#else
#define __Pyx_PyCFunction_FastCall(func, args, nargs) (assert(0), NULL)
#endif
/* PyFunctionFastCall.proto */
#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);
#else
#define __Pyx_PyFunction_FastCallDict(func, args, nargs, kwargs) _PyFunction_FastCallDict(func, args, nargs, kwargs)
#endif
#define __Pyx_BUILD_ASSERT_EXPR(cond)\
(sizeof(char [1 - 2*!(cond)]) - 1)
#ifndef Py_MEMBER_SIZE
#define Py_MEMBER_SIZE(type, member) sizeof(((type *)0)->member)
#endif
static size_t __pyx_pyframe_localsplus_offset = 0;
#include "frameobject.h"
#define __Pxy_PyFrame_Initialize_Offsets()\
((void)__Pyx_BUILD_ASSERT_EXPR(sizeof(PyFrameObject) == offsetof(PyFrameObject, f_localsplus) + Py_MEMBER_SIZE(PyFrameObject, f_localsplus)),\
(void)(__pyx_pyframe_localsplus_offset = ((size_t)PyFrame_Type.tp_basicsize) - Py_MEMBER_SIZE(PyFrameObject, f_localsplus)))
#define __Pyx_PyFrame_GetLocalsplus(frame)\
(assert(__pyx_pyframe_localsplus_offset), (PyObject **)(((char *)(frame)) + __pyx_pyframe_localsplus_offset))
#endif
/* PyObjectCall2Args.proto */
static CYTHON_UNUSED PyObject* __Pyx_PyObject_Call2Args(PyObject* function, PyObject* arg1, PyObject* arg2);
/* PyObjectCallMethO.proto */
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg);
#endif
/* PyObjectCallOneArg.proto */
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg);
/* IncludeStringH.proto */
#include <string.h>
/* BytesEquals.proto */
static CYTHON_INLINE int __Pyx_PyBytes_Equals(PyObject* s1, PyObject* s2, int equals);
/* UnicodeEquals.proto */
static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals);
/* StrEquals.proto */
#if PY_MAJOR_VERSION >= 3
#define __Pyx_PyString_Equals __Pyx_PyUnicode_Equals
#else
#define __Pyx_PyString_Equals __Pyx_PyBytes_Equals
#endif
/* UnaryNegOverflows.proto */
#define UNARY_NEG_WOULD_OVERFLOW(x)\
(((x) < 0) & ((unsigned long)(x) == 0-(unsigned long)(x)))
static CYTHON_UNUSED int __pyx_array_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/
static PyObject *__pyx_array_get_memview(struct __pyx_array_obj *); /*proto*/
/* GetAttr.proto */
static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *, PyObject *);
/* GetItemInt.proto */
#define __Pyx_GetItemInt(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\
(__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\
__Pyx_GetItemInt_Fast(o, (Py_ssize_t)i, is_list, wraparound, boundscheck) :\
(is_list ? (PyErr_SetString(PyExc_IndexError, "list index out of range"), (PyObject*)NULL) :\
__Pyx_GetItemInt_Generic(o, to_py_func(i))))
#define __Pyx_GetItemInt_List(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\
(__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\
__Pyx_GetItemInt_List_Fast(o, (Py_ssize_t)i, wraparound, boundscheck) :\
(PyErr_SetString(PyExc_IndexError, "list index out of range"), (PyObject*)NULL))
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i,
int wraparound, int boundscheck);
#define __Pyx_GetItemInt_Tuple(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\
(__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\
__Pyx_GetItemInt_Tuple_Fast(o, (Py_ssize_t)i, wraparound, boundscheck) :\
(PyErr_SetString(PyExc_IndexError, "tuple index out of range"), (PyObject*)NULL))
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i,
int wraparound, int boundscheck);
static PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j);
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i,
int is_list, int wraparound, int boundscheck);
/* ObjectGetItem.proto */
#if CYTHON_USE_TYPE_SLOTS
static CYTHON_INLINE PyObject *__Pyx_PyObject_GetItem(PyObject *obj, PyObject* key);
#else
#define __Pyx_PyObject_GetItem(obj, key) PyObject_GetItem(obj, key)
#endif
/* decode_c_string_utf16.proto */
static CYTHON_INLINE PyObject *__Pyx_PyUnicode_DecodeUTF16(const char *s, Py_ssize_t size, const char *errors) {
int byteorder = 0;
return PyUnicode_DecodeUTF16(s, size, errors, &byteorder);
}
static CYTHON_INLINE PyObject *__Pyx_PyUnicode_DecodeUTF16LE(const char *s, Py_ssize_t size, const char *errors) {
int byteorder = -1;
return PyUnicode_DecodeUTF16(s, size, errors, &byteorder);
}
static CYTHON_INLINE PyObject *__Pyx_PyUnicode_DecodeUTF16BE(const char *s, Py_ssize_t size, const char *errors) {
int byteorder = 1;
return PyUnicode_DecodeUTF16(s, size, errors, &byteorder);
}
/* decode_c_string.proto */
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));
/* PyErrExceptionMatches.proto */
#if CYTHON_FAST_THREAD_STATE
#define __Pyx_PyErr_ExceptionMatches(err) __Pyx_PyErr_ExceptionMatchesInState(__pyx_tstate, err)
static CYTHON_INLINE int __Pyx_PyErr_ExceptionMatchesInState(PyThreadState* tstate, PyObject* err);
#else
#define __Pyx_PyErr_ExceptionMatches(err) PyErr_ExceptionMatches(err)
#endif
/* GetAttr3.proto */
static CYTHON_INLINE PyObject *__Pyx_GetAttr3(PyObject *, PyObject *, PyObject *);
/* PyDictVersioning.proto */
#if CYTHON_USE_DICT_VERSIONS && CYTHON_USE_TYPE_SLOTS
#define __PYX_DICT_VERSION_INIT ((PY_UINT64_T) -1)
#define __PYX_GET_DICT_VERSION(dict) (((PyDictObject*)(dict))->ma_version_tag)
#define __PYX_UPDATE_DICT_CACHE(dict, value, cache_var, version_var)\
(version_var) = __PYX_GET_DICT_VERSION(dict);\
(cache_var) = (value);
#define __PYX_PY_DICT_LOOKUP_IF_MODIFIED(VAR, DICT, LOOKUP) {\
static PY_UINT64_T __pyx_dict_version = 0;\
static PyObject *__pyx_dict_cached_value = NULL;\
if (likely(__PYX_GET_DICT_VERSION(DICT) == __pyx_dict_version)) {\
(VAR) = __pyx_dict_cached_value;\
} else {\
(VAR) = __pyx_dict_cached_value = (LOOKUP);\
__pyx_dict_version = __PYX_GET_DICT_VERSION(DICT);\
}\
}
static CYTHON_INLINE PY_UINT64_T __Pyx_get_tp_dict_version(PyObject *obj);
static CYTHON_INLINE PY_UINT64_T __Pyx_get_object_dict_version(PyObject *obj);
static CYTHON_INLINE int __Pyx_object_dict_version_matches(PyObject* obj, PY_UINT64_T tp_dict_version, PY_UINT64_T obj_dict_version);
#else
#define __PYX_GET_DICT_VERSION(dict) (0)
#define __PYX_UPDATE_DICT_CACHE(dict, value, cache_var, version_var)
#define __PYX_PY_DICT_LOOKUP_IF_MODIFIED(VAR, DICT, LOOKUP) (VAR) = (LOOKUP);
#endif
/* GetModuleGlobalName.proto */
#if CYTHON_USE_DICT_VERSIONS
#define __Pyx_GetModuleGlobalName(var, name) {\
static PY_UINT64_T __pyx_dict_version = 0;\
static PyObject *__pyx_dict_cached_value = NULL;\
(var) = (likely(__pyx_dict_version == __PYX_GET_DICT_VERSION(__pyx_d))) ?\
(likely(__pyx_dict_cached_value) ? __Pyx_NewRef(__pyx_dict_cached_value) : __Pyx_GetBuiltinName(name)) :\
__Pyx__GetModuleGlobalName(name, &__pyx_dict_version, &__pyx_dict_cached_value);\
}
#define __Pyx_GetModuleGlobalNameUncached(var, name) {\
PY_UINT64_T __pyx_dict_version;\
PyObject *__pyx_dict_cached_value;\
(var) = __Pyx__GetModuleGlobalName(name, &__pyx_dict_version, &__pyx_dict_cached_value);\
}
static PyObject *__Pyx__GetModuleGlobalName(PyObject *name, PY_UINT64_T *dict_version, PyObject **dict_cached_value);
#else
#define __Pyx_GetModuleGlobalName(var, name) (var) = __Pyx__GetModuleGlobalName(name)
#define __Pyx_GetModuleGlobalNameUncached(var, name) (var) = __Pyx__GetModuleGlobalName(name)
static CYTHON_INLINE PyObject *__Pyx__GetModuleGlobalName(PyObject *name);
#endif
/* RaiseTooManyValuesToUnpack.proto */
static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected);
/* RaiseNeedMoreValuesToUnpack.proto */
static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index);
/* RaiseNoneIterError.proto */
static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void);
/* ExtTypeTest.proto */
static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type);
/* GetTopmostException.proto */
#if CYTHON_USE_EXC_INFO_STACK
static _PyErr_StackItem * __Pyx_PyErr_GetTopmostException(PyThreadState *tstate);
#endif
/* SaveResetException.proto */
#if CYTHON_FAST_THREAD_STATE
#define __Pyx_ExceptionSave(type, value, tb) __Pyx__ExceptionSave(__pyx_tstate, type, value, tb)
static CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb);
#define __Pyx_ExceptionReset(type, value, tb) __Pyx__ExceptionReset(__pyx_tstate, type, value, tb)
static CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb);
#else
#define __Pyx_ExceptionSave(type, value, tb) PyErr_GetExcInfo(type, value, tb)
#define __Pyx_ExceptionReset(type, value, tb) PyErr_SetExcInfo(type, value, tb)
#endif
/* GetException.proto */
#if CYTHON_FAST_THREAD_STATE
#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);
#else
#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))
#endif
#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*/
/* ListCompAppend.proto */
#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);
Py_SIZE(list) = len+1;
return 0;
}
return PyList_Append(list, x);
}
#else
#define __Pyx_ListComp_Append(L,x) PyList_Append(L,x)
#endif
/* PyIntBinop.proto */
#if !CYTHON_COMPILING_IN_PYPY
static PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, long intval, int inplace, int zerodivision_check);
#else
#define __Pyx_PyInt_AddObjC(op1, op2, intval, inplace, zerodivision_check)\
(inplace ? PyNumber_InPlaceAdd(op1, op2) : PyNumber_Add(op1, op2))
#endif
/* ListExtend.proto */
static CYTHON_INLINE int __Pyx_PyList_Extend(PyObject* L, PyObject* v) {
#if CYTHON_COMPILING_IN_CPYTHON
PyObject* none = _PyList_Extend((PyListObject*)L, v);
if (unlikely(!none))
return -1;
Py_DECREF(none);
return 0;
#else
return PyList_SetSlice(L, PY_SSIZE_T_MAX, PY_SSIZE_T_MAX, v);
#endif
}
/* 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);
Py_SIZE(list) = len+1;
return 0;
}
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);
#else
#define __Pyx_PyObject_GenericGetAttrNoDict PyObject_GenericGetAttr
#endif
/* 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);
/* SetupReduce.proto */
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)
#else
static int __Pyx_CLineForTraceback(PyThreadState *tstate, int c_line);
#endif
/* CodeObjectCache.proto */
typedef struct {
PyCodeObject* code_object;
int code_line;
} __Pyx_CodeObjectCacheEntry;
struct __Pyx_CodeObjectCache {
int count;
int max_count;
__Pyx_CodeObjectCacheEntry* entries;
};
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,
int py_line, const char *filename);
#if PY_MAJOR_VERSION < 3
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];
} __Pyx_LocalBuf_ND;
/* 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_dc_double(PyObject *, int writable_flag);
/* ObjectToMemviewSlice.proto */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_ds_int(PyObject *, int writable_flag);
/* ObjectToMemviewSlice.proto */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_d_dc_int(PyObject *, int writable_flag);
/* ObjectToMemviewSlice.proto */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_int(PyObject *, int writable_flag);
/* CIntToPy.proto */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value);
/* 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);
/* 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_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 'glove.metrics.accuracy_cython' */
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_5glove_7metrics_15accuracy_cython_dot(__Pyx_memviewslice, __Pyx_memviewslice, int); /*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 "glove.metrics.accuracy_cython"
extern int __pyx_module_is_main_glove__metrics__accuracy_cython;
int __pyx_module_is_main_glove__metrics__accuracy_cython = 0;
/* Implementation of 'glove.metrics.accuracy_cython' */
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_i[] = "i";
static const char __pyx_k_j[] = "j";
static const char __pyx_k_k[] = "k";
static const char __pyx_k_id[] = "id";
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_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_input[] = "input";
static const char __pyx_k_range[] = "range";
static const char __pyx_k_score[] = "score";
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_inputs[] = "inputs";
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_memview[] = "memview";
static const char __pyx_k_wordvec[] = "wordvec";
static const char __pyx_k_Ellipsis[] = "Ellipsis";
static const char __pyx_k_expected[] = "expected";
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_pyx_state[] = "__pyx_state";
static const char __pyx_k_reduce_ex[] = "__reduce_ex__";
static const char __pyx_k_skip_word[] = "skip_word";
static const char __pyx_k_IndexError[] = "IndexError";
static const char __pyx_k_ValueError[] = "ValueError";
static const char __pyx_k_no_threads[] = "no_threads";
static const char __pyx_k_no_wordvec[] = "no_wordvec";
static const char __pyx_k_pyx_result[] = "__pyx_result";
static const char __pyx_k_pyx_vtable[] = "__pyx_vtable__";
static const char __pyx_k_violations[] = "violations";
static const char __pyx_k_MemoryError[] = "MemoryError";
static const char __pyx_k_PickleError[] = "PickleError";
static const char __pyx_k_pyx_checksum[] = "__pyx_checksum";
static const char __pyx_k_stringsource[] = "stringsource";
static const char __pyx_k_wordvec_norm[] = "wordvec_norm";
static const char __pyx_k_no_components[] = "no_components";
static const char __pyx_k_pyx_getbuffer[] = "__pyx_getbuffer";
static const char __pyx_k_reduce_cython[] = "__reduce_cython__";
static const char __pyx_k_View_MemoryView[] = "View.MemoryView";
static const char __pyx_k_allocate_buffer[] = "allocate_buffer";
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_rank_violations[] = "rank_violations";
static const char __pyx_k_setstate_cython[] = "__setstate_cython__";
static const char __pyx_k_no_input_vectors[] = "no_input_vectors";
static const char __pyx_k_pyx_unpickle_Enum[] = "__pyx_unpickle_Enum";
static const char __pyx_k_score_of_expected[] = "score_of_expected";
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_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_compute_rank_violations[] = "compute_rank_violations";
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_itemsize_0_for_cython_array[] = "itemsize <= 0 for cython.array";
static const char __pyx_k_glove_metrics_accuracy_cython[] = "glove.metrics.accuracy_cython";
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_glove_metrics_accuracy_cython_py[] = "glove/metrics/accuracy_cython.pyx";
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_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_compute_rank_violations;
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_expected;
static PyObject *__pyx_n_s_flags;
static PyObject *__pyx_n_s_format;
static PyObject *__pyx_n_s_fortran;
static PyObject *__pyx_n_u_fortran;
static PyObject *__pyx_n_s_getstate;
static PyObject *__pyx_n_s_glove_metrics_accuracy_cython;
static PyObject *__pyx_kp_s_glove_metrics_accuracy_cython_py;
static PyObject *__pyx_kp_s_got_differing_extents_in_dimensi;
static PyObject *__pyx_n_s_i;
static PyObject *__pyx_n_s_id;
static PyObject *__pyx_n_s_import;
static PyObject *__pyx_n_s_input;
static PyObject *__pyx_n_s_inputs;
static PyObject *__pyx_n_s_itemsize;
static PyObject *__pyx_kp_s_itemsize_0_for_cython_array;
static PyObject *__pyx_n_s_j;
static PyObject *__pyx_n_s_k;
static PyObject *__pyx_n_s_main;
static PyObject *__pyx_n_s_memview;
static PyObject *__pyx_n_s_mode;
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_n_s_no_components;
static PyObject *__pyx_kp_s_no_default___reduce___due_to_non;
static PyObject *__pyx_n_s_no_input_vectors;
static PyObject *__pyx_n_s_no_threads;
static PyObject *__pyx_n_s_no_wordvec;
static PyObject *__pyx_n_s_obj;
static PyObject *__pyx_n_s_pack;
static PyObject *__pyx_n_s_pickle;
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_rank_violations;
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_score;
static PyObject *__pyx_n_s_score_of_expected;
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_skip_word;
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_violations;
static PyObject *__pyx_n_s_wordvec;
static PyObject *__pyx_n_s_wordvec_norm;
static PyObject *__pyx_pf_5glove_7metrics_15accuracy_cython_compute_rank_violations(CYTHON_UNUSED PyObject *__pyx_self, __Pyx_memviewslice __pyx_v_wordvec, __Pyx_memviewslice __pyx_v_wordvec_norm, __Pyx_memviewslice __pyx_v_input, __Pyx_memviewslice __pyx_v_expected, __Pyx_memviewslice __pyx_v_inputs, __Pyx_memviewslice __pyx_v_rank_violations, CYTHON_UNUSED int __pyx_v_no_threads); /* 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*/
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/* Python wrapper */
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/* "View.MemoryView":1080
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/* function exit code */
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/* "View.MemoryView":1087
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* """
* Create a new memoryview object from a given memoryview object and slice.
*/
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int (*__pyx_v_to_dtype_func)(char *, PyObject *);
PyObject *__pyx_r = NULL;
__Pyx_RefNannyDeclarations
int __pyx_t_1;
int __pyx_t_2;
PyObject *(*__pyx_t_3)(char *);
int (*__pyx_t_4)(char *, PyObject *);
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int __pyx_lineno = 0;
const char *__pyx_filename = NULL;
int __pyx_clineno = 0;
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*
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/* "View.MemoryView":1095
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/* "View.MemoryView":1094
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*
* if isinstance(memview, _memoryviewslice): # <<<<<<<<<<<<<<
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__pyx_v_to_object_func = NULL;
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*
*
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/* "View.MemoryView":1087
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* """
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/* function exit code */
__pyx_L1_error:;
__Pyx_XDECREF(__pyx_t_5);
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__pyx_L0:;
__Pyx_XGIVEREF(__pyx_r);
__Pyx_RefNannyFinishContext();
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/* "View.MemoryView":1109
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* cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil: # <<<<<<<<<<<<<<
* if arg < 0:
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static Py_ssize_t abs_py_ssize_t(Py_ssize_t __pyx_v_arg) {
Py_ssize_t __pyx_r;
int __pyx_t_1;
/* "View.MemoryView":1110
*
* cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil:
* if arg < 0: # <<<<<<<<<<<<<<
* return -arg
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*/
__pyx_t_1 = ((__pyx_v_arg < 0) != 0);
if (__pyx_t_1) {
/* "View.MemoryView":1111
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* else:
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*/
__pyx_r = (-__pyx_v_arg);
goto __pyx_L0;
/* "View.MemoryView":1110
*
* cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil:
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* return -arg
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__pyx_r = __pyx_v_arg;
goto __pyx_L0;
}
/* "View.MemoryView":1109
*
*
* cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil: # <<<<<<<<<<<<<<
* if arg < 0:
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*/
/* function exit code */
__pyx_L0:;
return __pyx_r;
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/* "View.MemoryView":1116
*
* @cname('__pyx_get_best_slice_order')
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* """
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int __pyx_v_i;
Py_ssize_t __pyx_v_c_stride;
Py_ssize_t __pyx_v_f_stride;
char __pyx_r;
int __pyx_t_1;
int __pyx_t_2;
int __pyx_t_3;
int __pyx_t_4;
/* "View.MemoryView":1121
* """
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*/
__pyx_v_c_stride = 0;
/* "View.MemoryView":1122
* cdef int i
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*
* for i in range(ndim - 1, -1, -1):
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__pyx_v_f_stride = 0;
/* "View.MemoryView":1124
* cdef Py_ssize_t f_stride = 0
*
* for i in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<<
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*/
for (__pyx_t_1 = (__pyx_v_ndim - 1); __pyx_t_1 > -1; __pyx_t_1-=1) {
__pyx_v_i = __pyx_t_1;
/* "View.MemoryView":1125
*
* for i in range(ndim - 1, -1, -1):
* if mslice.shape[i] > 1: # <<<<<<<<<<<<<<
* c_stride = mslice.strides[i]
* break
*/
__pyx_t_2 = (((__pyx_v_mslice->shape[__pyx_v_i]) > 1) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1126
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* break
*
*/
__pyx_v_c_stride = (__pyx_v_mslice->strides[__pyx_v_i]);
/* "View.MemoryView":1127
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* break # <<<<<<<<<<<<<<
*
* for i in range(ndim):
*/
goto __pyx_L4_break;
/* "View.MemoryView":1125
*
* for i in range(ndim - 1, -1, -1):
* if mslice.shape[i] > 1: # <<<<<<<<<<<<<<
* c_stride = mslice.strides[i]
* break
*/
}
}
__pyx_L4_break:;
/* "View.MemoryView":1129
* break
*
* for i in range(ndim): # <<<<<<<<<<<<<<
* if mslice.shape[i] > 1:
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*/
__pyx_t_1 = __pyx_v_ndim;
__pyx_t_3 = __pyx_t_1;
for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) {
__pyx_v_i = __pyx_t_4;
/* "View.MemoryView":1130
*
* for i in range(ndim):
* if mslice.shape[i] > 1: # <<<<<<<<<<<<<<
* f_stride = mslice.strides[i]
* break
*/
__pyx_t_2 = (((__pyx_v_mslice->shape[__pyx_v_i]) > 1) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1131
* for i in range(ndim):
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* break
*
*/
__pyx_v_f_stride = (__pyx_v_mslice->strides[__pyx_v_i]);
/* "View.MemoryView":1132
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*
* 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
*
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* return 'C'
* else:
*/
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if (__pyx_t_2) {
/* "View.MemoryView":1135
*
* if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride):
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* else:
* return 'F'
*/
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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'
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* @cython.cdivision(True)
*/
/*else*/ {
__pyx_r = 'F';
goto __pyx_L0;
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/* "View.MemoryView":1116
*
* @cname('__pyx_get_best_slice_order')
* cdef char get_best_order(__Pyx_memviewslice *mslice, int ndim) nogil: # <<<<<<<<<<<<<<
* """
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/* function exit code */
__pyx_L0:;
return __pyx_r;
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/* "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,
*/
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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: # <<<<<<<<<<<<<<
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*/
__pyx_t_1 = ((__pyx_v_ndim == 1) != 0);
if (__pyx_t_1) {
/* "View.MemoryView":1153
*
* if ndim == 1:
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* <size_t> src_stride == itemsize == <size_t> dst_stride):
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*/
__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:
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* 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:
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* <size_t> src_stride == itemsize == <size_t> dst_stride):
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if (__pyx_t_1) {
/* "View.MemoryView":1155
* if (src_stride > 0 and dst_stride > 0 and
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* else:
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*/
(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)
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__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:
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* 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):
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* 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)
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* 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:
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* 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,
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* dst_data += dst_stride
*
*/
__pyx_v_src_data = (__pyx_v_src_data + __pyx_v_src_stride);
/* "View.MemoryView":1168
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*
* 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)
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/* "View.MemoryView":1170
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*/
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/* "View.MemoryView":1177
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Py_ssize_t __pyx_v_shape;
Py_ssize_t __pyx_v_size;
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Py_ssize_t __pyx_t_1;
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Py_ssize_t *__pyx_t_3;
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* 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
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* free(tmpdata)
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* if order == 'F' == get_best_order(&dst, ndim):
*/
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*
* if direct_copy: # <<<<<<<<<<<<<<
*
* refcount_copying(&dst, dtype_is_object, ndim, False)
*/
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/* "View.MemoryView":1310
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*
* if not broadcasting: # <<<<<<<<<<<<<<
*
*
*/
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/* "View.MemoryView":1326
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*
* if order == 'F' == get_best_order(&dst, ndim): # <<<<<<<<<<<<<<
*
*
*/
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__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)
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*/
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/* "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)
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*
* if order == 'F' == get_best_order(&dst, ndim): # <<<<<<<<<<<<<<
*
*
*/
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/* "View.MemoryView":1332
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*
* 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
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*
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* free(tmpdata)
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*/
__pyx_r = 0;
goto __pyx_L0;
/* "View.MemoryView":1268
*
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/* function exit code */
__pyx_L1_error:;
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/* "View.MemoryView":1340
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* cdef void broadcast_leading(__Pyx_memviewslice *mslice, # <<<<<<<<<<<<<<
* int ndim,
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int __pyx_v_i;
int __pyx_v_offset;
int __pyx_t_1;
int __pyx_t_2;
int __pyx_t_3;
/* "View.MemoryView":1344
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/* "View.MemoryView":1346
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* for i in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<<
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* 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):
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* 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):
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*/
(__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]
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*
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*/
(__pyx_v_mslice->suboffsets[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_mslice->suboffsets[__pyx_v_i]);
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*
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__pyx_t_1 = __pyx_v_offset;
__pyx_t_2 = __pyx_t_1;
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__pyx_v_i = __pyx_t_3;
/* "View.MemoryView":1352
*
* for i in range(offset):
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* mslice.suboffsets[i] = -1
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* for i in range(offset):
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(__pyx_v_mslice->strides[__pyx_v_i]) = (__pyx_v_mslice->strides[0]);
/* "View.MemoryView":1354
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*
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* int ndim,
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/* "View.MemoryView":1362
*
* @cname('__pyx_memoryview_refcount_copying')
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int __pyx_t_1;
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*
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/* "View.MemoryView":1367
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/* "View.MemoryView":1362
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* int ndim, bint inc) nogil:
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/* function exit code */
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/* "View.MemoryView":1371
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* @cname('__pyx_memoryview_refcount_objects_in_slice_with_gil')
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* Py_ssize_t *strides, int ndim,
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static void __pyx_memoryview_refcount_objects_in_slice_with_gil(char *__pyx_v_data, Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, int __pyx_v_ndim, int __pyx_v_inc) {
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__pyx_memoryview_refcount_objects_in_slice(__pyx_v_data, __pyx_v_shape, __pyx_v_strides, __pyx_v_ndim, __pyx_v_inc);
/* "View.MemoryView":1371
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* @cname('__pyx_memoryview_refcount_objects_in_slice_with_gil')
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__pyx_t_4 = (__pyx_v_inc != 0);
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Py_INCREF((((PyObject **)__pyx_v_data)[0]));
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__pyx_memoryview_refcount_objects_in_slice(__pyx_v_data, (__pyx_v_shape + 1), (__pyx_v_strides + 1), (__pyx_v_ndim - 1), __pyx_v_inc);
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/* "View.MemoryView":1397
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static void __pyx_memoryview_slice_assign_scalar(__Pyx_memviewslice *__pyx_v_dst, int __pyx_v_ndim, size_t __pyx_v_itemsize, void *__pyx_v_item, int __pyx_v_dtype_is_object) {
/* "View.MemoryView":1400
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__pyx_memoryview_refcount_copying(__pyx_v_dst, __pyx_v_dtype_is_object, __pyx_v_ndim, 0);
/* "View.MemoryView":1401
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__pyx_memoryview__slice_assign_scalar(__pyx_v_dst->data, __pyx_v_dst->shape, __pyx_v_dst->strides, __pyx_v_ndim, __pyx_v_itemsize, __pyx_v_item);
/* "View.MemoryView":1403
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*
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__pyx_memoryview_refcount_copying(__pyx_v_dst, __pyx_v_dtype_is_object, __pyx_v_ndim, 1);
/* "View.MemoryView":1397
*
* @cname('__pyx_memoryview_slice_assign_scalar')
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* bint dtype_is_object) nogil:
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/* function exit code */
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/* "View.MemoryView":1407
*
* @cname('__pyx_memoryview__slice_assign_scalar')
* cdef void _slice_assign_scalar(char *data, Py_ssize_t *shape, # <<<<<<<<<<<<<<
* Py_ssize_t *strides, int ndim,
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static void __pyx_memoryview__slice_assign_scalar(char *__pyx_v_data, Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, int __pyx_v_ndim, size_t __pyx_v_itemsize, void *__pyx_v_item) {
CYTHON_UNUSED Py_ssize_t __pyx_v_i;
Py_ssize_t __pyx_v_stride;
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Py_ssize_t __pyx_t_2;
Py_ssize_t __pyx_t_3;
Py_ssize_t __pyx_t_4;
/* "View.MemoryView":1411
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__pyx_v_stride = (__pyx_v_strides[0]);
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__pyx_v_extent = (__pyx_v_shape[0]);
/* "View.MemoryView":1414
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__pyx_t_1 = ((__pyx_v_ndim == 1) != 0);
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/* "View.MemoryView":1415
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__pyx_t_3 = __pyx_t_2;
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__pyx_v_i = __pyx_t_4;
/* "View.MemoryView":1416
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(void)(memcpy(__pyx_v_data, __pyx_v_item, __pyx_v_itemsize));
/* "View.MemoryView":1417
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__pyx_v_data = (__pyx_v_data + __pyx_v_stride);
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/* "View.MemoryView":1414
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goto __pyx_L3;
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/* "View.MemoryView":1419
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__pyx_L1_error:;
__Pyx_XDECREF(__pyx_t_1);
__Pyx_XDECREF(__pyx_t_6);
__Pyx_XDECREF(__pyx_t_7);
__Pyx_XDECREF(__pyx_t_8);
__Pyx_AddTraceback("View.MemoryView.__pyx_unpickle_Enum__set_state", __pyx_clineno, __pyx_lineno, __pyx_filename);
__pyx_r = 0;
__pyx_L0:;
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__Pyx_RefNannyFinishContext();
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struct __pyx_array_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_array_obj *)o);
p->__pyx_vtab = __pyx_vtabptr_array;
p->mode = ((PyObject*)Py_None); Py_INCREF(Py_None);
p->_format = ((PyObject*)Py_None); Py_INCREF(Py_None);
if (unlikely(__pyx_array___cinit__(o, a, k) < 0)) goto bad;
return o;
bad:
Py_DECREF(o); o = 0;
return NULL;
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static void __pyx_tp_dealloc_array(PyObject *o) {
struct __pyx_array_obj *p = (struct __pyx_array_obj *)o;
#if CYTHON_USE_TP_FINALIZE
if (unlikely(PyType_HasFeature(Py_TYPE(o), Py_TPFLAGS_HAVE_FINALIZE) && Py_TYPE(o)->tp_finalize) && (!PyType_IS_GC(Py_TYPE(o)) || !_PyGC_FINALIZED(o))) {
if (PyObject_CallFinalizerFromDealloc(o)) return;
}
#endif
{
PyObject *etype, *eval, *etb;
PyErr_Fetch(&etype, &eval, &etb);
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__pyx_array___dealloc__(o);
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PyErr_Restore(etype, eval, etb);
}
Py_CLEAR(p->mode);
Py_CLEAR(p->_format);
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PyObject *r;
PyObject *x = PyInt_FromSsize_t(i); if(!x) return 0;
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Py_DECREF(x);
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static int __pyx_mp_ass_subscript_array(PyObject *o, PyObject *i, PyObject *v) {
if (v) {
return __pyx_array___setitem__(o, i, v);
}
else {
PyErr_Format(PyExc_NotImplementedError,
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return -1;
}
}
static PyObject *__pyx_tp_getattro_array(PyObject *o, PyObject *n) {
PyObject *v = __Pyx_PyObject_GenericGetAttr(o, n);
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PyErr_Clear();
v = __pyx_array___getattr__(o, n);
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static PyObject *__pyx_getprop___pyx_array_memview(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_5array_7memview_1__get__(o);
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{"__reduce_cython__", (PyCFunction)__pyx_pw___pyx_array_1__reduce_cython__, METH_NOARGS, 0},
{"__setstate_cython__", (PyCFunction)__pyx_pw___pyx_array_3__setstate_cython__, METH_O, 0},
{0, 0, 0, 0}
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static struct PyGetSetDef __pyx_getsets_array[] = {
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static PySequenceMethods __pyx_tp_as_sequence_array = {
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0, /*sq_concat*/
0, /*sq_repeat*/
__pyx_sq_item_array, /*sq_item*/
0, /*sq_slice*/
0, /*sq_ass_item*/
0, /*sq_ass_slice*/
0, /*sq_contains*/
0, /*sq_inplace_concat*/
0, /*sq_inplace_repeat*/
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__pyx_array___len__, /*mp_length*/
__pyx_array___getitem__, /*mp_subscript*/
__pyx_mp_ass_subscript_array, /*mp_ass_subscript*/
};
static PyBufferProcs __pyx_tp_as_buffer_array = {
#if PY_MAJOR_VERSION < 3
0, /*bf_getreadbuffer*/
#endif
#if PY_MAJOR_VERSION < 3
0, /*bf_getwritebuffer*/
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#if PY_MAJOR_VERSION < 3
0, /*bf_getsegcount*/
#endif
#if PY_MAJOR_VERSION < 3
0, /*bf_getcharbuffer*/
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__pyx_array_getbuffer, /*bf_getbuffer*/
0, /*bf_releasebuffer*/
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static PyTypeObject __pyx_type___pyx_array = {
PyVarObject_HEAD_INIT(0, 0)
"glove.metrics.accuracy_cython.array", /*tp_name*/
sizeof(struct __pyx_array_obj), /*tp_basicsize*/
0, /*tp_itemsize*/
__pyx_tp_dealloc_array, /*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*/
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#if PY_MAJOR_VERSION >= 3
0, /*tp_as_async*/
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0, /*tp_repr*/
0, /*tp_as_number*/
&__pyx_tp_as_sequence_array, /*tp_as_sequence*/
&__pyx_tp_as_mapping_array, /*tp_as_mapping*/
0, /*tp_hash*/
0, /*tp_call*/
0, /*tp_str*/
__pyx_tp_getattro_array, /*tp_getattro*/
0, /*tp_setattro*/
&__pyx_tp_as_buffer_array, /*tp_as_buffer*/
Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/
0, /*tp_doc*/
0, /*tp_traverse*/
0, /*tp_clear*/
0, /*tp_richcompare*/
0, /*tp_weaklistoffset*/
0, /*tp_iter*/
0, /*tp_iternext*/
__pyx_methods_array, /*tp_methods*/
0, /*tp_members*/
__pyx_getsets_array, /*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_array, /*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*/
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#if PY_VERSION_HEX >= 0x030800b1
0, /*tp_vectorcall*/
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#if PY_VERSION_HEX >= 0x030800b4 && PY_VERSION_HEX < 0x03090000
0, /*tp_print*/
#endif
};
static PyObject *__pyx_tp_new_Enum(PyTypeObject *t, CYTHON_UNUSED PyObject *a, CYTHON_UNUSED PyObject *k) {
struct __pyx_MemviewEnum_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_MemviewEnum_obj *)o);
p->name = Py_None; Py_INCREF(Py_None);
return o;
}
static void __pyx_tp_dealloc_Enum(PyObject *o) {
struct __pyx_MemviewEnum_obj *p = (struct __pyx_MemviewEnum_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);
Py_CLEAR(p->name);
(*Py_TYPE(o)->tp_free)(o);
}
static int __pyx_tp_traverse_Enum(PyObject *o, visitproc v, void *a) {
int e;
struct __pyx_MemviewEnum_obj *p = (struct __pyx_MemviewEnum_obj *)o;
if (p->name) {
e = (*v)(p->name, a); if (e) return e;
}
return 0;
}
static int __pyx_tp_clear_Enum(PyObject *o) {
PyObject* tmp;
struct __pyx_MemviewEnum_obj *p = (struct __pyx_MemviewEnum_obj *)o;
tmp = ((PyObject*)p->name);
p->name = Py_None; Py_INCREF(Py_None);
Py_XDECREF(tmp);
return 0;
}
static PyMethodDef __pyx_methods_Enum[] = {
{"__reduce_cython__", (PyCFunction)__pyx_pw___pyx_MemviewEnum_1__reduce_cython__, METH_NOARGS, 0},
{"__setstate_cython__", (PyCFunction)__pyx_pw___pyx_MemviewEnum_3__setstate_cython__, METH_O, 0},
{0, 0, 0, 0}
};
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PyVarObject_HEAD_INIT(0, 0)
"glove.metrics.accuracy_cython.Enum", /*tp_name*/
sizeof(struct __pyx_MemviewEnum_obj), /*tp_basicsize*/
0, /*tp_itemsize*/
__pyx_tp_dealloc_Enum, /*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_MemviewEnum___repr__, /*tp_repr*/
0, /*tp_as_number*/
0, /*tp_as_sequence*/
0, /*tp_as_mapping*/
0, /*tp_hash*/
0, /*tp_call*/
0, /*tp_str*/
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*/
0, /*tp_doc*/
__pyx_tp_traverse_Enum, /*tp_traverse*/
__pyx_tp_clear_Enum, /*tp_clear*/
0, /*tp_richcompare*/
0, /*tp_weaklistoffset*/
0, /*tp_iter*/
0, /*tp_iternext*/
__pyx_methods_Enum, /*tp_methods*/
0, /*tp_members*/
0, /*tp_getset*/
0, /*tp_base*/
0, /*tp_dict*/
0, /*tp_descr_get*/
0, /*tp_descr_set*/
0, /*tp_dictoffset*/
__pyx_MemviewEnum___init__, /*tp_init*/
0, /*tp_alloc*/
__pyx_tp_new_Enum, /*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_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);
++Py_REFCNT(o);
__pyx_memoryview___dealloc__(o);
--Py_REFCNT(o);
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;
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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[] = {
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{"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[] = {
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{(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)
"glove.metrics.accuracy_cython.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);
++Py_REFCNT(o);
__pyx_memoryviewslice___dealloc__(o);
--Py_REFCNT(o);
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}
};
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{(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)
"glove.metrics.accuracy_cython._memoryviewslice", /*tp_name*/
sizeof(struct __pyx_memoryviewslice_obj), /*tp_basicsize*/
0, /*tp_itemsize*/
__pyx_tp_dealloc__memoryviewslice, /*tp_dealloc*/
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0, /*tp_print*/
#endif
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0, /*tp_vectorcall_offset*/
#endif
0, /*tp_getattr*/
0, /*tp_setattr*/
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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_accuracy_cython(PyObject* module); /*proto*/
static PyModuleDef_Slot __pyx_moduledef_slots[] = {
{Py_mod_create, (void*)__pyx_pymod_create},
{Py_mod_exec, (void*)__pyx_pymod_exec_accuracy_cython},
{0, NULL}
};
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PyModuleDef_HEAD_INIT,
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0, /* m_doc */
#if CYTHON_PEP489_MULTI_PHASE_INIT
0, /* m_size */
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-1, /* m_size */
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__pyx_methods /* m_methods */,
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__pyx_moduledef_slots, /* m_slots */
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NULL, /* m_reload */
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NULL, /* m_traverse */
NULL, /* m_clear */
NULL /* m_free */
};
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#define CYTHON_SMALL_CODE
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int exact,
Py_ssize_t num_min,
Py_ssize_t num_max,
Py_ssize_t num_found)
{
Py_ssize_t num_expected;
const char *more_or_less;
if (num_found < num_min) {
num_expected = num_min;
more_or_less = "at least";
} else {
num_expected = num_max;
more_or_less = "at most";
}
if (exact) {
more_or_less = "exactly";
}
PyErr_Format(PyExc_TypeError,
"%.200s() takes %.8s %" CYTHON_FORMAT_SSIZE_T "d positional argument%.1s (%" CYTHON_FORMAT_SSIZE_T "d given)",
func_name, more_or_less, num_expected,
(num_expected == 1) ? "" : "s", num_found);
}
/* RaiseDoubleKeywords */
static void __Pyx_RaiseDoubleKeywordsError(
const char* func_name,
PyObject* kw_name)
{
PyErr_Format(PyExc_TypeError,
#if PY_MAJOR_VERSION >= 3
"%s() got multiple values for keyword argument '%U'", func_name, kw_name);
#else
"%s() got multiple values for keyword argument '%s'", func_name,
PyString_AsString(kw_name));
#endif
}
/* ParseKeywords */
static int __Pyx_ParseOptionalKeywords(
PyObject *kwds,
PyObject **argnames[],
PyObject *kwds2,
PyObject *values[],
Py_ssize_t num_pos_args,
const char* function_name)
{
PyObject *key = 0, *value = 0;
Py_ssize_t pos = 0;
PyObject*** name;
PyObject*** first_kw_arg = argnames + num_pos_args;
while (PyDict_Next(kwds, &pos, &key, &value)) {
name = first_kw_arg;
while (*name && (**name != key)) name++;
if (*name) {
values[name-argnames] = value;
continue;
}
name = first_kw_arg;
#if PY_MAJOR_VERSION < 3
if (likely(PyString_Check(key))) {
while (*name) {
if ((CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**name) == PyString_GET_SIZE(key))
&& _PyString_Eq(**name, key)) {
values[name-argnames] = value;
break;
}
name++;
}
if (*name) continue;
else {
PyObject*** argname = argnames;
while (argname != first_kw_arg) {
if ((**argname == key) || (
(CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**argname) == PyString_GET_SIZE(key))
&& _PyString_Eq(**argname, key))) {
goto arg_passed_twice;
}
argname++;
}
}
} else
#endif
if (likely(PyUnicode_Check(key))) {
while (*name) {
int cmp = (**name == key) ? 0 :
#if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3
(__Pyx_PyUnicode_GET_LENGTH(**name) != __Pyx_PyUnicode_GET_LENGTH(key)) ? 1 :
#endif
PyUnicode_Compare(**name, key);
if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad;
if (cmp == 0) {
values[name-argnames] = value;
break;
}
name++;
}
if (*name) continue;
else {
PyObject*** argname = argnames;
while (argname != first_kw_arg) {
int cmp = (**argname == key) ? 0 :
#if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3
(__Pyx_PyUnicode_GET_LENGTH(**argname) != __Pyx_PyUnicode_GET_LENGTH(key)) ? 1 :
#endif
PyUnicode_Compare(**argname, key);
if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad;
if (cmp == 0) goto arg_passed_twice;
argname++;
}
}
} else
goto invalid_keyword_type;
if (kwds2) {
if (unlikely(PyDict_SetItem(kwds2, key, value))) goto bad;
} else {
goto invalid_keyword;
}
}
return 0;
arg_passed_twice:
__Pyx_RaiseDoubleKeywordsError(function_name, key);
goto bad;
invalid_keyword_type:
PyErr_Format(PyExc_TypeError,
"%.200s() keywords must be strings", function_name);
goto bad;
invalid_keyword:
PyErr_Format(PyExc_TypeError,
#if PY_MAJOR_VERSION < 3
"%.200s() got an unexpected keyword argument '%.200s'",
function_name, PyString_AsString(key));
#else
"%s() got an unexpected keyword argument '%U'",
function_name, key);
#endif
bad:
return -1;
}
/* MemviewSliceInit */
static int
__Pyx_init_memviewslice(struct __pyx_memoryview_obj *memview,
int ndim,
__Pyx_memviewslice *memviewslice,
int memview_is_new_reference)
{
__Pyx_RefNannyDeclarations
int i, retval=-1;
Py_buffer *buf = &memview->view;
__Pyx_RefNannySetupContext("init_memviewslice", 0);
if (unlikely(memviewslice->memview || memviewslice->data)) {
PyErr_SetString(PyExc_ValueError,
"memviewslice is already initialized!");
goto fail;
}
if (buf->strides) {
for (i = 0; i < ndim; i++) {
memviewslice->strides[i] = buf->strides[i];
}
} else {
Py_ssize_t stride = buf->itemsize;
for (i = ndim - 1; i >= 0; i--) {
memviewslice->strides[i] = stride;
stride *= buf->shape[i];
}
}
for (i = 0; i < ndim; i++) {
memviewslice->shape[i] = buf->shape[i];
if (buf->suboffsets) {
memviewslice->suboffsets[i] = buf->suboffsets[i];
} else {
memviewslice->suboffsets[i] = -1;
}
}
memviewslice->memview = memview;
memviewslice->data = (char *)buf->buf;
if (__pyx_add_acquisition_count(memview) == 0 && !memview_is_new_reference) {
Py_INCREF(memview);
}
retval = 0;
goto no_fail;
fail:
memviewslice->memview = 0;
memviewslice->data = 0;
retval = -1;
no_fail:
__Pyx_RefNannyFinishContext();
return retval;
}
#ifndef Py_NO_RETURN
#define Py_NO_RETURN
#endif
static void __pyx_fatalerror(const char *fmt, ...) Py_NO_RETURN {
va_list vargs;
char msg[200];
#ifdef HAVE_STDARG_PROTOTYPES
va_start(vargs, fmt);
#else
va_start(vargs);
#endif
vsnprintf(msg, 200, fmt, vargs);
va_end(vargs);
Py_FatalError(msg);
}
static CYTHON_INLINE int
__pyx_add_acquisition_count_locked(__pyx_atomic_int *acquisition_count,
PyThread_type_lock lock)
{
int result;
PyThread_acquire_lock(lock, 1);
result = (*acquisition_count)++;
PyThread_release_lock(lock);
return result;
}
static CYTHON_INLINE int
__pyx_sub_acquisition_count_locked(__pyx_atomic_int *acquisition_count,
PyThread_type_lock lock)
{
int result;
PyThread_acquire_lock(lock, 1);
result = (*acquisition_count)--;
PyThread_release_lock(lock);
return result;
}
static CYTHON_INLINE void
__Pyx_INC_MEMVIEW(__Pyx_memviewslice *memslice, int have_gil, int lineno)
{
int first_time;
struct __pyx_memoryview_obj *memview = memslice->memview;
if (unlikely(!memview || (PyObject *) memview == Py_None))
return;
if (unlikely(__pyx_get_slice_count(memview) < 0))
__pyx_fatalerror("Acquisition count is %d (line %d)",
__pyx_get_slice_count(memview), lineno);
first_time = __pyx_add_acquisition_count(memview) == 0;
if (unlikely(first_time)) {
if (have_gil) {
Py_INCREF((PyObject *) memview);
} else {
PyGILState_STATE _gilstate = PyGILState_Ensure();
Py_INCREF((PyObject *) memview);
PyGILState_Release(_gilstate);
}
}
}
static CYTHON_INLINE void __Pyx_XDEC_MEMVIEW(__Pyx_memviewslice *memslice,
int have_gil, int lineno) {
int last_time;
struct __pyx_memoryview_obj *memview = memslice->memview;
if (unlikely(!memview || (PyObject *) memview == Py_None)) {
memslice->memview = NULL;
return;
}
if (unlikely(__pyx_get_slice_count(memview) <= 0))
__pyx_fatalerror("Acquisition count is %d (line %d)",
__pyx_get_slice_count(memview), lineno);
last_time = __pyx_sub_acquisition_count(memview) == 1;
memslice->data = NULL;
if (unlikely(last_time)) {
if (have_gil) {
Py_CLEAR(memslice->memview);
} else {
PyGILState_STATE _gilstate = PyGILState_Ensure();
Py_CLEAR(memslice->memview);
PyGILState_Release(_gilstate);
}
} else {
memslice->memview = NULL;
}
}
/* ArgTypeTest */
static int __Pyx__ArgTypeTest(PyObject *obj, PyTypeObject *type, const char *name, int exact)
{
if (unlikely(!type)) {
PyErr_SetString(PyExc_SystemError, "Missing type object");
return 0;
}
else if (exact) {
#if PY_MAJOR_VERSION == 2
if ((type == &PyBaseString_Type) && likely(__Pyx_PyBaseString_CheckExact(obj))) return 1;
#endif
}
else {
if (likely(__Pyx_TypeCheck(obj, type))) return 1;
}
PyErr_Format(PyExc_TypeError,
"Argument '%.200s' has incorrect type (expected %.200s, got %.200s)",
name, type->tp_name, Py_TYPE(obj)->tp_name);
return 0;
}
/* PyObjectCall */
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw) {
PyObject *result;
ternaryfunc call = func->ob_type->tp_call;
if (unlikely(!call))
return PyObject_Call(func, arg, kw);
if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object")))
return NULL;
result = (*call)(func, arg, kw);
Py_LeaveRecursiveCall();
if (unlikely(!result) && unlikely(!PyErr_Occurred())) {
PyErr_SetString(
PyExc_SystemError,
"NULL result without error in PyObject_Call");
}
return result;
}
#endif
/* PyErrFetchRestore */
#if CYTHON_FAST_THREAD_STATE
static CYTHON_INLINE void __Pyx_ErrRestoreInState(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) {
PyObject *tmp_type, *tmp_value, *tmp_tb;
tmp_type = tstate->curexc_type;
tmp_value = tstate->curexc_value;
tmp_tb = tstate->curexc_traceback;
tstate->curexc_type = type;
tstate->curexc_value = value;
tstate->curexc_traceback = tb;
Py_XDECREF(tmp_type);
Py_XDECREF(tmp_value);
Py_XDECREF(tmp_tb);
}
static CYTHON_INLINE void __Pyx_ErrFetchInState(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) {
*type = tstate->curexc_type;
*value = tstate->curexc_value;
*tb = tstate->curexc_traceback;
tstate->curexc_type = 0;
tstate->curexc_value = 0;
tstate->curexc_traceback = 0;
}
#endif
/* RaiseException */
#if PY_MAJOR_VERSION < 3
static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb,
CYTHON_UNUSED PyObject *cause) {
__Pyx_PyThreadState_declare
Py_XINCREF(type);
if (!value || value == Py_None)
value = NULL;
else
Py_INCREF(value);
if (!tb || tb == Py_None)
tb = NULL;
else {
Py_INCREF(tb);
if (!PyTraceBack_Check(tb)) {
PyErr_SetString(PyExc_TypeError,
"raise: arg 3 must be a traceback or None");
goto raise_error;
}
}
if (PyType_Check(type)) {
#if CYTHON_COMPILING_IN_PYPY
if (!value) {
Py_INCREF(Py_None);
value = Py_None;
}
#endif
PyErr_NormalizeException(&type, &value, &tb);
} else {
if (value) {
PyErr_SetString(PyExc_TypeError,
"instance exception may not have a separate value");
goto raise_error;
}
value = type;
type = (PyObject*) Py_TYPE(type);
Py_INCREF(type);
if (!PyType_IsSubtype((PyTypeObject *)type, (PyTypeObject *)PyExc_BaseException)) {
PyErr_SetString(PyExc_TypeError,
"raise: exception class must be a subclass of BaseException");
goto raise_error;
}
}
__Pyx_PyThreadState_assign
__Pyx_ErrRestore(type, value, tb);
return;
raise_error:
Py_XDECREF(value);
Py_XDECREF(type);
Py_XDECREF(tb);
return;
}
#else
static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause) {
PyObject* owned_instance = NULL;
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 (PyCFunction_GET_FLAGS(func) & METH_FASTCALL) {
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 PyUnicode_FromUnicode(NULL, 0);
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;
}
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_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_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_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_ds_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_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, 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;
}
/* ObjectToMemviewSlice */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_d_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_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_int, 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;
}
/* 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;\
}
/* CIntToPy */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value) {
const int neg_one = (int) ((int) 0 - (int) 1), const_zero = (int) 0;
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);
}
}
/* 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;
}
/* CIntFromPy */
static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *x) {
const int neg_one = (int) ((int) 0 - (int) 1), const_zero = (int) 0;
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) {
const long neg_one = (long) ((long) 0 - (long) 1), const_zero = (long) 0;
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_long(long value) {
const long neg_one = (long) ((long) 0 - (long) 1), const_zero = (long) 0;
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) {
const char neg_one = (char) ((char) 0 - (char) 1), const_zero = (char) 0;
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 */
|
csr.c | //#include <string.h>
//#include <stdio.h>
//#include <stdlib.h>
//#include <stdint.h>
//#include <omp.h>
//#include "allocator.h"
#include "geometry.h"
#include "mesh2geo.h"
#if 0
static void scan(const size_t nrows, unsigned int *array)
{
unsigned int sum = 0;
for(unsigned int i = 0; i <= nrows; i++)
{
const unsigned int t = array[i];
array[i] = sum;
sum += t;
}
}
/* c stdlib qsort comparable function */
static inline int
comp(const void *a, const void *b)
{
return (int) (*((uint32_t *) a) - *((uint32_t *) b));
}
#endif
void
m2csr(struct geometry *g)
{
#if 0
/* Row pointers */
uint32_t *ia = (uint32_t *) fun3d_calloc((g->n->sz + 1), sizeof(uint32_t));
uint32_t i;
for(i = 0; i < g->e->sz; i++)
{
ia[g->e->eptr->n0[i]]++;
ia[g->e->eptr->n1[i]]++;
}
for(i = 0; i <= g->n->sz; i++) ia[i]++;
scan(g->n->sz, ia);
// Add one to avoid 'segmentation fault generated by METIS
// Need to be tested
uint32_t *ja = (uint32_t *) fun3d_calloc((ia[g->n->sz] + 1), sizeof(uint32_t));
double *aa = (double *) fun3d_calloc(ia[g->n->sz] * 4 * 4, sizeof(double));
/* A temp buffer used to keep tracking of each row elements */
uint32_t *buf = (uint32_t *) fun3d_malloc(g->n->sz, sizeof(uint32_t));
/* Column Index of the diagonal elements */
for(i = 0; i < g->n->sz; i++)
{
ja[ia[i]] = i; // A diagonal element
buf[i] = 1; // One element in this row has been added
}
/* Fill the rest of the array, ordered by RCM and using a
* modified version of Breadth-First Search traversing algorithm */
for(i = 0; i < g->e->sz; i++)
{
uint32_t n0 = g->e->eptr->n0[i];
uint32_t n1 = g->e->eptr->n1[i];
/* Get the element index in the row
* The index is basically the row index plus the last element that
* has been added in the row. */
uint32_t indx = ia[n0] + buf[n0]; // Get the index
buf[n0]++; // Column has been added (one more element in the row)
ja[indx] = n1; // Store the node index in its corresponding index
/* Do it for the other endpoint */
indx = ia[n1] + buf[n1];
buf[n1]++;
ja[indx] = n0;
}
fun3d_free(buf);
uint32_t *diag = (uint32_t *) fun3d_calloc(g->n->sz, sizeof(uint32_t));
unsigned int *w = (unsigned int *) fun3d_calloc(g->n->sz, sizeof(unsigned int));
/* Sort the each row of a ja array in an increasing order
* No we reorder them again to make sure the at each row
* we have the node ordered in increasing order plus based on
* their degree */
#pragma omp parallel for
for(i = 0; i < g->n->sz; i++)
{
const uint32_t jstart = ia[i];
const uint32_t jend = ia[i+1];
const size_t nnz_per_row = ia[i+1] - ia[i];
qsort(ja + jstart, nnz_per_row, sizeof(uint32_t), comp);
uint32_t j;
for(j = jstart; j < jend; j++)
{
if(ja[j] == i)
{
diag[i] = j; // Store a diagonal element
break;
}
}
}
struct mat *csr = (struct mat *) fun3d_malloc(1, sizeof(struct mat));
csr->a = aa;
csr->i = ia;
csr->j = ja;
csr->d = diag;
csr->w = w;
g->c->mat = csr;
#endif
/* Incompressible Euler flow */
g->c->b = 4;
g->c->b2 = 4 * 4;
/* Solution vector length: matrix rows x DoFs */
g->c->sz = g->c->b * g->n->sz;
} |
b3v32ld.c | /**** BSIM3v3.2.4, Released by Xuemei Xi 12/21/2001 ****/
/**********
* Copyright 2001 Regents of the University of California. All rights reserved.
* File: b3ld.c of BSIM3v3.2.4
* Author: 1991 JianHui Huang and Min-Chie Jeng.
* Modified by Mansun Chan (1995).
* Author: 1997-1999 Weidong Liu.
* Author: 2001 Xuemei Xi
* Modified by Xuemei Xi, 10/05, 12/21, 2001.
* Modified by Paolo Nenzi 2002 and Dietmar Warning 2003
**********/
#include "ngspice/ngspice.h"
#include "ngspice/cktdefs.h"
#include "bsim3v32def.h"
#include "ngspice/trandefs.h"
#include "ngspice/const.h"
#include "ngspice/sperror.h"
#include "ngspice/devdefs.h"
#include "ngspice/suffix.h"
#define MAX_EXP 5.834617425e14
#define MIN_EXP 1.713908431e-15
#define EXP_THRESHOLD 34.0
#define EPSOX 3.453133e-11
#define EPSSI 1.03594e-10
#define Charge_q 1.60219e-19
#define DELTA_1 0.02
#define DELTA_2 0.02
#define DELTA_3 0.02
#define DELTA_4 0.02
#ifdef USE_OMP
int BSIM3v32LoadOMP(BSIM3v32instance *here, CKTcircuit *ckt);
void BSIM3v32LoadRhsMat(GENmodel *inModel, CKTcircuit *ckt);
#endif
int
BSIM3v32load (GENmodel *inModel, CKTcircuit *ckt)
{
#ifdef USE_OMP
int idx;
BSIM3v32model *model = (BSIM3v32model*)inModel;
int error = 0;
BSIM3v32instance **InstArray;
InstArray = model->BSIM3v32InstanceArray;
#pragma omp parallel for
for (idx = 0; idx < model->BSIM3v32InstCount; idx++) {
BSIM3v32instance *here = InstArray[idx];
int local_error = BSIM3v32LoadOMP(here, ckt);
if (local_error)
error = local_error;
}
BSIM3v32LoadRhsMat(inModel, ckt);
return error;
}
int BSIM3v32LoadOMP(BSIM3v32instance *here, CKTcircuit *ckt) {
BSIM3v32model *model = BSIM3v32modPtr(here);
#else
BSIM3v32model *model = (BSIM3v32model*)inModel;
BSIM3v32instance *here;
#endif
double SourceSatCurrent, DrainSatCurrent;
double ag0, qgd, qgs, qgb, von, cbhat, VgstNVt, ExpVgst;
double cdrain, cdhat, cdreq, ceqbd, ceqbs, ceqqb, ceqqd, ceqqg, ceq, geq;
double czbd, czbdsw, czbdswg, czbs, czbssw, czbsswg, evbd, evbs, arg, sarg;
double delvbd, delvbs, delvds, delvgd, delvgs;
double Vfbeff, dVfbeff_dVg, dVfbeff_dVd = 0.0, dVfbeff_dVb, V3, V4;
double gcbdb, gcbgb, gcbsb, gcddb, gcdgb, gcdsb, gcgdb, gcggb, gcgsb, gcsdb;
#ifndef NEWCONV
double tol;
#endif
double gcsgb, gcssb, MJ, MJSW, MJSWG;
double vbd, vbs, vds, vgb, vgd, vgs, vgdo;
#ifndef PREDICTOR
double xfact;
#endif
double qgate = 0.0, qbulk = 0.0, qdrn = 0.0, qsrc;
double qinoi, cqgate, cqbulk, cqdrn;
double Vds, Vgs, Vbs, Gmbs, FwdSum, RevSum;
double Vgs_eff, Vfb, dVfb_dVb = 0.0, dVfb_dVd = 0.0;
double Phis, dPhis_dVb, sqrtPhis, dsqrtPhis_dVb, Vth, dVth_dVb, dVth_dVd;
double Vgst, dVgst_dVg, dVgst_dVb, dVgs_eff_dVg, Nvtm;
double Vtm;
double n, dn_dVb, dn_dVd, voffcv, noff, dnoff_dVd, dnoff_dVb;
double ExpArg, V0, CoxWLcen, QovCox, LINK;
double DeltaPhi, dDeltaPhi_dVg, dDeltaPhi_dVd, dDeltaPhi_dVb;
double Cox, Tox, Tcen, dTcen_dVg, dTcen_dVd, dTcen_dVb;
double Ccen, Coxeff, dCoxeff_dVg, dCoxeff_dVd, dCoxeff_dVb;
double Denomi, dDenomi_dVg, dDenomi_dVd, dDenomi_dVb;
double ueff, dueff_dVg, dueff_dVd, dueff_dVb;
double Esat, Vdsat;
double EsatL, dEsatL_dVg, dEsatL_dVd, dEsatL_dVb;
double dVdsat_dVg, dVdsat_dVb, dVdsat_dVd, Vasat, dAlphaz_dVg, dAlphaz_dVb;
double dVasat_dVg, dVasat_dVb, dVasat_dVd, Va, dVa_dVd, dVa_dVg, dVa_dVb;
double Vbseff, dVbseff_dVb, VbseffCV, dVbseffCV_dVb;
double Arg1, One_Third_CoxWL, Two_Third_CoxWL, Alphaz, CoxWL;
double T0, dT0_dVg, dT0_dVd, dT0_dVb;
double T1, dT1_dVg, dT1_dVd, dT1_dVb;
double T2, dT2_dVg, dT2_dVd, dT2_dVb;
double T3, dT3_dVg, dT3_dVd, dT3_dVb;
double T4;
double T5;
double T6;
double T7;
double T8;
double T9;
double T10;
double T11, T12;
double tmp, Abulk, dAbulk_dVb, Abulk0, dAbulk0_dVb;
double VACLM, dVACLM_dVg, dVACLM_dVd, dVACLM_dVb;
double VADIBL, dVADIBL_dVg, dVADIBL_dVd, dVADIBL_dVb;
double Xdep, dXdep_dVb, lt1, dlt1_dVb, ltw, dltw_dVb, Delt_vth, dDelt_vth_dVb;
double Theta0, dTheta0_dVb;
double TempRatio, tmp1, tmp2, tmp3, tmp4;
double DIBL_Sft, dDIBL_Sft_dVd, Lambda, dLambda_dVg;
double Idtot, Ibtot;
#ifndef NOBYPASS
double tempv;
#endif
double a1, ScalingFactor;
double Vgsteff, dVgsteff_dVg, dVgsteff_dVd, dVgsteff_dVb;
double Vdseff, dVdseff_dVg, dVdseff_dVd, dVdseff_dVb;
double VdseffCV, dVdseffCV_dVg, dVdseffCV_dVd, dVdseffCV_dVb;
double diffVds, dAbulk_dVg;
double beta, dbeta_dVg, dbeta_dVd, dbeta_dVb;
double gche, dgche_dVg, dgche_dVd, dgche_dVb;
double fgche1, dfgche1_dVg, dfgche1_dVd, dfgche1_dVb;
double fgche2, dfgche2_dVg, dfgche2_dVd, dfgche2_dVb;
double Idl, dIdl_dVg, dIdl_dVd, dIdl_dVb;
double Idsa, dIdsa_dVg, dIdsa_dVd, dIdsa_dVb;
double Ids, Gm, Gds, Gmb;
double Isub, Gbd, Gbg, Gbb;
double VASCBE, dVASCBE_dVg, dVASCBE_dVd, dVASCBE_dVb;
double CoxWovL;
double Rds, dRds_dVg, dRds_dVb, WVCox, WVCoxRds;
double Vgst2Vtm, VdsatCV, dVdsatCV_dVg, dVdsatCV_dVb;
double Leff, Weff, dWeff_dVg, dWeff_dVb;
double AbulkCV, dAbulkCV_dVb;
double qgdo, qgso, cgdo, cgso;
double qcheq = 0.0, qdef, gqdef = 0.0, cqdef, cqcheq, gtau_diff, gtau_drift;
double gcqdb = 0.0,gcqsb = 0.0, gcqgb = 0.0,gcqbb = 0.0;
double dxpart, sxpart, ggtg, ggtd, ggts, ggtb;
double ddxpart_dVd, ddxpart_dVg, ddxpart_dVb, ddxpart_dVs;
double dsxpart_dVd, dsxpart_dVg, dsxpart_dVb, dsxpart_dVs;
double gbspsp, gbbdp, gbbsp, gbspg, gbspb, gbspdp;
double gbdpdp, gbdpg, gbdpb, gbdpsp;
double Cgg, Cgd, Cgb, Cdg, Cdd, Cds;
double Csg, Csd, Css, Csb, Cbg, Cbd, Cbb;
double Cgg1, Cgb1, Cgd1, Cbg1, Cbb1, Cbd1, Qac0, Qsub0;
double dQac0_dVg, dQac0_dVd = 0.0, dQac0_dVb, dQsub0_dVg;
double dQsub0_dVd, dQsub0_dVb;
double m;
struct bsim3v32SizeDependParam *pParam;
int ByPass, Check, ChargeComputationNeeded, error;
ScalingFactor = 1.0e-9;
ChargeComputationNeeded =
((ckt->CKTmode & (MODEDCTRANCURVE | MODEAC | MODETRAN | MODEINITSMSIG)) ||
((ckt->CKTmode & MODETRANOP) && (ckt->CKTmode & MODEUIC)))
? 1 : 0;
#ifndef USE_OMP
for (; model != NULL; model = BSIM3v32nextModel(model))
{ for (here = BSIM3v32instances(model); here != NULL;
here = BSIM3v32nextInstance(here))
{
#endif
Check = 1;
ByPass = 0;
pParam = here->pParam;
if ((ckt->CKTmode & MODEINITSMSIG))
{ vbs = *(ckt->CKTstate0 + here->BSIM3v32vbs);
vgs = *(ckt->CKTstate0 + here->BSIM3v32vgs);
vds = *(ckt->CKTstate0 + here->BSIM3v32vds);
qdef = *(ckt->CKTstate0 + here->BSIM3v32qdef);
}
else if ((ckt->CKTmode & MODEINITTRAN))
{ vbs = *(ckt->CKTstate1 + here->BSIM3v32vbs);
vgs = *(ckt->CKTstate1 + here->BSIM3v32vgs);
vds = *(ckt->CKTstate1 + here->BSIM3v32vds);
qdef = *(ckt->CKTstate1 + here->BSIM3v32qdef);
}
else if ((ckt->CKTmode & MODEINITJCT) && !here->BSIM3v32off)
{ vds = model->BSIM3v32type * here->BSIM3v32icVDS;
vgs = model->BSIM3v32type * here->BSIM3v32icVGS;
vbs = model->BSIM3v32type * here->BSIM3v32icVBS;
qdef = 0.0;
if ((vds == 0.0) && (vgs == 0.0) && (vbs == 0.0) &&
((ckt->CKTmode & (MODETRAN | MODEAC|MODEDCOP |
MODEDCTRANCURVE)) || (!(ckt->CKTmode & MODEUIC))))
{ vbs = 0.0;
vgs = model->BSIM3v32type * here->BSIM3v32vth0 + 0.1;
vds = 0.1;
}
}
else if ((ckt->CKTmode & (MODEINITJCT | MODEINITFIX)) &&
(here->BSIM3v32off))
{ qdef = vbs = vgs = vds = 0.0;
}
else
{
#ifndef PREDICTOR
if ((ckt->CKTmode & MODEINITPRED))
{ xfact = ckt->CKTdelta / ckt->CKTdeltaOld[1];
*(ckt->CKTstate0 + here->BSIM3v32vbs) =
*(ckt->CKTstate1 + here->BSIM3v32vbs);
vbs = (1.0 + xfact)* (*(ckt->CKTstate1 + here->BSIM3v32vbs))
- (xfact * (*(ckt->CKTstate2 + here->BSIM3v32vbs)));
*(ckt->CKTstate0 + here->BSIM3v32vgs) =
*(ckt->CKTstate1 + here->BSIM3v32vgs);
vgs = (1.0 + xfact)* (*(ckt->CKTstate1 + here->BSIM3v32vgs))
- (xfact * (*(ckt->CKTstate2 + here->BSIM3v32vgs)));
*(ckt->CKTstate0 + here->BSIM3v32vds) =
*(ckt->CKTstate1 + here->BSIM3v32vds);
vds = (1.0 + xfact)* (*(ckt->CKTstate1 + here->BSIM3v32vds))
- (xfact * (*(ckt->CKTstate2 + here->BSIM3v32vds)));
*(ckt->CKTstate0 + here->BSIM3v32vbd) =
*(ckt->CKTstate0 + here->BSIM3v32vbs)
- *(ckt->CKTstate0 + here->BSIM3v32vds);
*(ckt->CKTstate0 + here->BSIM3v32qdef) =
*(ckt->CKTstate1 + here->BSIM3v32qdef);
qdef = (1.0 + xfact)* (*(ckt->CKTstate1 + here->BSIM3v32qdef))
-(xfact * (*(ckt->CKTstate2 + here->BSIM3v32qdef)));
}
else
{
#endif /* PREDICTOR */
vbs = model->BSIM3v32type
* (*(ckt->CKTrhsOld + here->BSIM3v32bNode)
- *(ckt->CKTrhsOld + here->BSIM3v32sNodePrime));
vgs = model->BSIM3v32type
* (*(ckt->CKTrhsOld + here->BSIM3v32gNode)
- *(ckt->CKTrhsOld + here->BSIM3v32sNodePrime));
vds = model->BSIM3v32type
* (*(ckt->CKTrhsOld + here->BSIM3v32dNodePrime)
- *(ckt->CKTrhsOld + here->BSIM3v32sNodePrime));
qdef = model->BSIM3v32type
* (*(ckt->CKTrhsOld + here->BSIM3v32qNode));
#ifndef PREDICTOR
}
#endif /* PREDICTOR */
vbd = vbs - vds;
vgd = vgs - vds;
vgdo = *(ckt->CKTstate0 + here->BSIM3v32vgs)
- *(ckt->CKTstate0 + here->BSIM3v32vds);
delvbs = vbs - *(ckt->CKTstate0 + here->BSIM3v32vbs);
delvbd = vbd - *(ckt->CKTstate0 + here->BSIM3v32vbd);
delvgs = vgs - *(ckt->CKTstate0 + here->BSIM3v32vgs);
delvds = vds - *(ckt->CKTstate0 + here->BSIM3v32vds);
delvgd = vgd - vgdo;
if (here->BSIM3v32mode >= 0)
{ Idtot = here->BSIM3v32cd + here->BSIM3v32csub - here->BSIM3v32cbd;
cdhat = Idtot - here->BSIM3v32gbd * delvbd
+ (here->BSIM3v32gmbs + here->BSIM3v32gbbs) * delvbs
+ (here->BSIM3v32gm + here->BSIM3v32gbgs) * delvgs
+ (here->BSIM3v32gds + here->BSIM3v32gbds) * delvds;
Ibtot = here->BSIM3v32cbs + here->BSIM3v32cbd - here->BSIM3v32csub;
cbhat = Ibtot + here->BSIM3v32gbd * delvbd
+ (here->BSIM3v32gbs - here->BSIM3v32gbbs) * delvbs
- here->BSIM3v32gbgs * delvgs
- here->BSIM3v32gbds * delvds;
}
else
{ Idtot = here->BSIM3v32cd - here->BSIM3v32cbd;
cdhat = Idtot - (here->BSIM3v32gbd - here->BSIM3v32gmbs) * delvbd
+ here->BSIM3v32gm * delvgd
- here->BSIM3v32gds * delvds;
Ibtot = here->BSIM3v32cbs + here->BSIM3v32cbd - here->BSIM3v32csub;
cbhat = Ibtot + here->BSIM3v32gbs * delvbs
+ (here->BSIM3v32gbd - here->BSIM3v32gbbs) * delvbd
- here->BSIM3v32gbgs * delvgd
+ here->BSIM3v32gbds * delvds;
}
#ifndef NOBYPASS
/* following should be one big if connected by && all over
* the place, but some C compilers can't handle that, so
* we split it up here to let them digest it in stages
*/
if ((!(ckt->CKTmode & MODEINITPRED)) && (ckt->CKTbypass))
if ((fabs(delvbs) < (ckt->CKTreltol * MAX(fabs(vbs),
fabs(*(ckt->CKTstate0+here->BSIM3v32vbs))) + ckt->CKTvoltTol)))
if ((fabs(delvbd) < (ckt->CKTreltol * MAX(fabs(vbd),
fabs(*(ckt->CKTstate0+here->BSIM3v32vbd))) + ckt->CKTvoltTol)))
if ((fabs(delvgs) < (ckt->CKTreltol * MAX(fabs(vgs),
fabs(*(ckt->CKTstate0+here->BSIM3v32vgs))) + ckt->CKTvoltTol)))
if ((fabs(delvds) < (ckt->CKTreltol * MAX(fabs(vds),
fabs(*(ckt->CKTstate0+here->BSIM3v32vds))) + ckt->CKTvoltTol)))
if ((fabs(cdhat - Idtot) < ckt->CKTreltol
* MAX(fabs(cdhat),fabs(Idtot)) + ckt->CKTabstol))
{ tempv = MAX(fabs(cbhat),fabs(Ibtot)) + ckt->CKTabstol;
if ((fabs(cbhat - Ibtot)) < ckt->CKTreltol * tempv)
{ /* bypass code */
vbs = *(ckt->CKTstate0 + here->BSIM3v32vbs);
vbd = *(ckt->CKTstate0 + here->BSIM3v32vbd);
vgs = *(ckt->CKTstate0 + here->BSIM3v32vgs);
vds = *(ckt->CKTstate0 + here->BSIM3v32vds);
qdef = *(ckt->CKTstate0 + here->BSIM3v32qdef);
vgd = vgs - vds;
vgb = vgs - vbs;
cdrain = here->BSIM3v32cd;
if ((ckt->CKTmode & (MODETRAN | MODEAC)) ||
((ckt->CKTmode & MODETRANOP) &&
(ckt->CKTmode & MODEUIC)))
{ ByPass = 1;
qgate = here->BSIM3v32qgate;
qbulk = here->BSIM3v32qbulk;
qdrn = here->BSIM3v32qdrn;
goto line755;
}
else
{ goto line850;
}
}
}
#endif /*NOBYPASS*/
von = here->BSIM3v32von;
if (*(ckt->CKTstate0 + here->BSIM3v32vds) >= 0.0)
{ vgs = DEVfetlim(vgs, *(ckt->CKTstate0+here->BSIM3v32vgs), von);
vds = vgs - vgd;
vds = DEVlimvds(vds, *(ckt->CKTstate0 + here->BSIM3v32vds));
vgd = vgs - vds;
}
else
{ vgd = DEVfetlim(vgd, vgdo, von);
vds = vgs - vgd;
vds = -DEVlimvds(-vds, -(*(ckt->CKTstate0+here->BSIM3v32vds)));
vgs = vgd + vds;
}
if (vds >= 0.0)
{ vbs = DEVpnjlim(vbs, *(ckt->CKTstate0 + here->BSIM3v32vbs),
CONSTvt0, model->BSIM3v32vcrit, &Check);
vbd = vbs - vds;
}
else
{ vbd = DEVpnjlim(vbd, *(ckt->CKTstate0 + here->BSIM3v32vbd),
CONSTvt0, model->BSIM3v32vcrit, &Check);
vbs = vbd + vds;
}
}
/* determine DC current and derivatives */
vbd = vbs - vds;
vgd = vgs - vds;
vgb = vgs - vbs;
/* Source/drain junction diode DC model begins */
Nvtm = model->BSIM3v32vtm * model->BSIM3v32jctEmissionCoeff;
/* acm model */
if (model->BSIM3v32acmMod == 0)
{
if ((here->BSIM3v32sourceArea <= 0.0)
&& (here->BSIM3v32sourcePerimeter <= 0.0))
{
SourceSatCurrent = 1.0e-14;
}
else
{
SourceSatCurrent = here->BSIM3v32sourceArea
* model->BSIM3v32jctTempSatCurDensity
+ here->BSIM3v32sourcePerimeter
* model->BSIM3v32jctSidewallTempSatCurDensity;
}
if ((here->BSIM3v32drainArea <= 0.0) && (here->BSIM3v32drainPerimeter <= 0.0))
{ DrainSatCurrent = 1.0e-14;
}
else
{ DrainSatCurrent = here->BSIM3v32drainArea
* model->BSIM3v32jctTempSatCurDensity
+ here->BSIM3v32drainPerimeter
* model->BSIM3v32jctSidewallTempSatCurDensity;
}
}
else
{
error = ACM_saturationCurrents(
model->BSIM3v32acmMod,
model->BSIM3v32calcacm,
here->BSIM3v32geo,
model->BSIM3v32hdif,
model->BSIM3v32wmlt,
here->BSIM3v32w,
model->BSIM3v32xw,
model->BSIM3v32jctTempSatCurDensity,
model->BSIM3v32jctSidewallTempSatCurDensity,
here->BSIM3v32drainAreaGiven,
here->BSIM3v32drainArea,
here->BSIM3v32drainPerimeterGiven,
here->BSIM3v32drainPerimeter,
here->BSIM3v32sourceAreaGiven,
here->BSIM3v32sourceArea,
here->BSIM3v32sourcePerimeterGiven,
here->BSIM3v32sourcePerimeter,
&DrainSatCurrent,
&SourceSatCurrent
);
if (error)
return(error);
}
if (SourceSatCurrent <= 0.0)
{ here->BSIM3v32gbs = ckt->CKTgmin;
here->BSIM3v32cbs = here->BSIM3v32gbs * vbs;
}
else
{ if (model->BSIM3v32ijth == 0.0)
{ evbs = exp(vbs / Nvtm);
here->BSIM3v32gbs = SourceSatCurrent * evbs / Nvtm + ckt->CKTgmin;
here->BSIM3v32cbs = SourceSatCurrent * (evbs - 1.0)
+ ckt->CKTgmin * vbs;
}
else
{ if (vbs < here->BSIM3v32vjsm)
{ evbs = exp(vbs / Nvtm);
here->BSIM3v32gbs = SourceSatCurrent * evbs / Nvtm + ckt->CKTgmin;
here->BSIM3v32cbs = SourceSatCurrent * (evbs - 1.0)
+ ckt->CKTgmin * vbs;
}
else
{
/* Added revision dependent code */
switch (model->BSIM3v32intVersion) {
case BSIM3v32V324:
case BSIM3v32V323:
case BSIM3v32V322:
T0 = here->BSIM3v32IsEvjsm / Nvtm;
here->BSIM3v32gbs = T0 + (ckt->CKTgmin);
here->BSIM3v32cbs = here->BSIM3v32IsEvjsm - SourceSatCurrent
+ T0 * (vbs - here->BSIM3v32vjsm) + (ckt->CKTgmin) * vbs;
break;
case BSIM3v32V32:
default:
T0 = (SourceSatCurrent + model->BSIM3v32ijth) / Nvtm;
here->BSIM3v32gbs = T0 + (ckt->CKTgmin);
here->BSIM3v32cbs = model->BSIM3v32ijth + (ckt->CKTgmin) * vbs
+ T0 * (vbs - here->BSIM3v32vjsm);
}
}
}
}
if (DrainSatCurrent <= 0.0)
{ here->BSIM3v32gbd = ckt->CKTgmin;
here->BSIM3v32cbd = here->BSIM3v32gbd * vbd;
}
else
{ if (model->BSIM3v32ijth == 0.0)
{ evbd = exp(vbd / Nvtm);
here->BSIM3v32gbd = DrainSatCurrent * evbd / Nvtm + ckt->CKTgmin;
here->BSIM3v32cbd = DrainSatCurrent * (evbd - 1.0)
+ ckt->CKTgmin * vbd;
}
else
{ if (vbd < here->BSIM3v32vjdm)
{ evbd = exp(vbd / Nvtm);
here->BSIM3v32gbd = DrainSatCurrent * evbd / Nvtm + ckt->CKTgmin;
here->BSIM3v32cbd = DrainSatCurrent * (evbd - 1.0)
+ ckt->CKTgmin * vbd;
}
else
{
/* Added revision dependent code */
switch (model->BSIM3v32intVersion) {
case BSIM3v32V324:
case BSIM3v32V323:
case BSIM3v32V322:
T0 = here->BSIM3v32IsEvjdm / Nvtm;
here->BSIM3v32gbd = T0 + (ckt->CKTgmin);
here->BSIM3v32cbd = here->BSIM3v32IsEvjdm - DrainSatCurrent
+ T0 * (vbd - here->BSIM3v32vjdm) + (ckt->CKTgmin) * vbd;
break;
case BSIM3v32V32:
default:
T0 = (DrainSatCurrent + model->BSIM3v32ijth) / Nvtm;
here->BSIM3v32gbd = T0 + (ckt->CKTgmin);
here->BSIM3v32cbd = model->BSIM3v32ijth + (ckt->CKTgmin) * vbd
+ T0 * (vbd - here->BSIM3v32vjdm);
}
}
}
}
/* End of diode DC model */
if (vds >= 0.0)
{ /* normal mode */
here->BSIM3v32mode = 1;
Vds = vds;
Vgs = vgs;
Vbs = vbs;
}
else
{ /* inverse mode */
here->BSIM3v32mode = -1;
Vds = -vds;
Vgs = vgd;
Vbs = vbd;
}
T0 = Vbs - pParam->BSIM3v32vbsc - 0.001;
T1 = sqrt(T0 * T0 - 0.004 * pParam->BSIM3v32vbsc);
Vbseff = pParam->BSIM3v32vbsc + 0.5 * (T0 + T1);
dVbseff_dVb = 0.5 * (1.0 + T0 / T1);
if (Vbseff < Vbs)
{ Vbseff = Vbs;
}
if (Vbseff > 0.0)
{ T0 = pParam->BSIM3v32phi / (pParam->BSIM3v32phi + Vbseff);
Phis = pParam->BSIM3v32phi * T0;
dPhis_dVb = -T0 * T0;
sqrtPhis = pParam->BSIM3v32phis3 / (pParam->BSIM3v32phi + 0.5 * Vbseff);
dsqrtPhis_dVb = -0.5 * sqrtPhis * sqrtPhis / pParam->BSIM3v32phis3;
}
else
{ Phis = pParam->BSIM3v32phi - Vbseff;
dPhis_dVb = -1.0;
sqrtPhis = sqrt(Phis);
dsqrtPhis_dVb = -0.5 / sqrtPhis;
}
Xdep = pParam->BSIM3v32Xdep0 * sqrtPhis / pParam->BSIM3v32sqrtPhi;
dXdep_dVb = (pParam->BSIM3v32Xdep0 / pParam->BSIM3v32sqrtPhi)
* dsqrtPhis_dVb;
Leff = pParam->BSIM3v32leff;
Vtm = model->BSIM3v32vtm;
/* Vth Calculation */
T3 = sqrt(Xdep);
V0 = pParam->BSIM3v32vbi - pParam->BSIM3v32phi;
T0 = pParam->BSIM3v32dvt2 * Vbseff;
if (T0 >= - 0.5)
{ T1 = 1.0 + T0;
T2 = pParam->BSIM3v32dvt2;
}
else /* Added to avoid any discontinuity problems caused by dvt2 */
{ T4 = 1.0 / (3.0 + 8.0 * T0);
T1 = (1.0 + 3.0 * T0) * T4;
T2 = pParam->BSIM3v32dvt2 * T4 * T4;
}
lt1 = model->BSIM3v32factor1 * T3 * T1;
dlt1_dVb = model->BSIM3v32factor1 * (0.5 / T3 * T1 * dXdep_dVb + T3 * T2);
T0 = pParam->BSIM3v32dvt2w * Vbseff;
if (T0 >= - 0.5)
{ T1 = 1.0 + T0;
T2 = pParam->BSIM3v32dvt2w;
}
else /* Added to avoid any discontinuity problems caused by dvt2w */
{ T4 = 1.0 / (3.0 + 8.0 * T0);
T1 = (1.0 + 3.0 * T0) * T4;
T2 = pParam->BSIM3v32dvt2w * T4 * T4;
}
ltw = model->BSIM3v32factor1 * T3 * T1;
dltw_dVb = model->BSIM3v32factor1 * (0.5 / T3 * T1 * dXdep_dVb + T3 * T2);
T0 = -0.5 * pParam->BSIM3v32dvt1 * Leff / lt1;
if (T0 > -EXP_THRESHOLD)
{ T1 = exp(T0);
Theta0 = T1 * (1.0 + 2.0 * T1);
dT1_dVb = -T0 / lt1 * T1 * dlt1_dVb;
dTheta0_dVb = (1.0 + 4.0 * T1) * dT1_dVb;
}
else
{ T1 = MIN_EXP;
Theta0 = T1 * (1.0 + 2.0 * T1);
dTheta0_dVb = 0.0;
}
here->BSIM3v32thetavth = pParam->BSIM3v32dvt0 * Theta0;
Delt_vth = here->BSIM3v32thetavth * V0;
dDelt_vth_dVb = pParam->BSIM3v32dvt0 * dTheta0_dVb * V0;
T0 = -0.5 * pParam->BSIM3v32dvt1w * pParam->BSIM3v32weff * Leff / ltw;
if (T0 > -EXP_THRESHOLD)
{ T1 = exp(T0);
T2 = T1 * (1.0 + 2.0 * T1);
dT1_dVb = -T0 / ltw * T1 * dltw_dVb;
dT2_dVb = (1.0 + 4.0 * T1) * dT1_dVb;
}
else
{ T1 = MIN_EXP;
T2 = T1 * (1.0 + 2.0 * T1);
dT2_dVb = 0.0;
}
T0 = pParam->BSIM3v32dvt0w * T2;
T2 = T0 * V0;
dT2_dVb = pParam->BSIM3v32dvt0w * dT2_dVb * V0;
TempRatio = ckt->CKTtemp / model->BSIM3v32tnom - 1.0;
T0 = sqrt(1.0 + pParam->BSIM3v32nlx / Leff);
T1 = pParam->BSIM3v32k1ox * (T0 - 1.0) * pParam->BSIM3v32sqrtPhi
+ (pParam->BSIM3v32kt1 + pParam->BSIM3v32kt1l / Leff
+ pParam->BSIM3v32kt2 * Vbseff) * TempRatio;
tmp2 = model->BSIM3v32tox * pParam->BSIM3v32phi
/ (pParam->BSIM3v32weff + pParam->BSIM3v32w0);
T3 = pParam->BSIM3v32eta0 + pParam->BSIM3v32etab * Vbseff;
if (T3 < 1.0e-4) /* avoid discontinuity problems caused by etab */
{ T9 = 1.0 / (3.0 - 2.0e4 * T3);
T3 = (2.0e-4 - T3) * T9;
T4 = T9 * T9;
}
else
{ T4 = 1.0;
}
dDIBL_Sft_dVd = T3 * pParam->BSIM3v32theta0vb0;
DIBL_Sft = dDIBL_Sft_dVd * Vds;
Vth = model->BSIM3v32type * here->BSIM3v32vth0 - pParam->BSIM3v32k1
* pParam->BSIM3v32sqrtPhi + pParam->BSIM3v32k1ox * sqrtPhis
- pParam->BSIM3v32k2ox * Vbseff - Delt_vth - T2 + (pParam->BSIM3v32k3
+ pParam->BSIM3v32k3b * Vbseff) * tmp2 + T1 - DIBL_Sft;
here->BSIM3v32von = Vth;
dVth_dVb = pParam->BSIM3v32k1ox * dsqrtPhis_dVb - pParam->BSIM3v32k2ox
- dDelt_vth_dVb - dT2_dVb + pParam->BSIM3v32k3b * tmp2
- pParam->BSIM3v32etab * Vds * pParam->BSIM3v32theta0vb0 * T4
+ pParam->BSIM3v32kt2 * TempRatio;
dVth_dVd = -dDIBL_Sft_dVd;
/* Calculate n */
tmp2 = pParam->BSIM3v32nfactor * EPSSI / Xdep;
tmp3 = pParam->BSIM3v32cdsc + pParam->BSIM3v32cdscb * Vbseff
+ pParam->BSIM3v32cdscd * Vds;
tmp4 = (tmp2 + tmp3 * Theta0 + pParam->BSIM3v32cit) / model->BSIM3v32cox;
if (tmp4 >= -0.5)
{ n = 1.0 + tmp4;
dn_dVb = (-tmp2 / Xdep * dXdep_dVb + tmp3 * dTheta0_dVb
+ pParam->BSIM3v32cdscb * Theta0) / model->BSIM3v32cox;
dn_dVd = pParam->BSIM3v32cdscd * Theta0 / model->BSIM3v32cox;
}
else
/* avoid discontinuity problems caused by tmp4 */
{ T0 = 1.0 / (3.0 + 8.0 * tmp4);
n = (1.0 + 3.0 * tmp4) * T0;
T0 *= T0;
dn_dVb = (-tmp2 / Xdep * dXdep_dVb + tmp3 * dTheta0_dVb
+ pParam->BSIM3v32cdscb * Theta0) / model->BSIM3v32cox * T0;
dn_dVd = pParam->BSIM3v32cdscd * Theta0 / model->BSIM3v32cox * T0;
}
/* Poly Gate Si Depletion Effect */
T0 = here->BSIM3v32vfb + pParam->BSIM3v32phi;
if ((pParam->BSIM3v32ngate > 1.e18) && (pParam->BSIM3v32ngate < 1.e25)
&& (Vgs > T0))
/* added to avoid the problem caused by ngate */
{ T1 = 1.0e6 * Charge_q * EPSSI * pParam->BSIM3v32ngate
/ (model->BSIM3v32cox * model->BSIM3v32cox);
T4 = sqrt(1.0 + 2.0 * (Vgs - T0) / T1);
T2 = T1 * (T4 - 1.0);
T3 = 0.5 * T2 * T2 / T1; /* T3 = Vpoly */
T7 = 1.12 - T3 - 0.05;
T6 = sqrt(T7 * T7 + 0.224);
T5 = 1.12 - 0.5 * (T7 + T6);
Vgs_eff = Vgs - T5;
dVgs_eff_dVg = 1.0 - (0.5 - 0.5 / T4) * (1.0 + T7 / T6);
}
else
{ Vgs_eff = Vgs;
dVgs_eff_dVg = 1.0;
}
Vgst = Vgs_eff - Vth;
/* Effective Vgst (Vgsteff) Calculation */
T10 = 2.0 * n * Vtm;
VgstNVt = Vgst / T10;
ExpArg = (2.0 * pParam->BSIM3v32voff - Vgst) / T10;
/* MCJ: Very small Vgst */
if (VgstNVt > EXP_THRESHOLD)
{ Vgsteff = Vgst;
dVgsteff_dVg = dVgs_eff_dVg;
dVgsteff_dVd = -dVth_dVd;
dVgsteff_dVb = -dVth_dVb;
}
else if (ExpArg > EXP_THRESHOLD)
{ T0 = (Vgst - pParam->BSIM3v32voff) / (n * Vtm);
ExpVgst = exp(T0);
Vgsteff = Vtm * pParam->BSIM3v32cdep0 / model->BSIM3v32cox * ExpVgst;
dVgsteff_dVg = Vgsteff / (n * Vtm);
dVgsteff_dVd = -dVgsteff_dVg * (dVth_dVd + T0 * Vtm * dn_dVd);
dVgsteff_dVb = -dVgsteff_dVg * (dVth_dVb + T0 * Vtm * dn_dVb);
dVgsteff_dVg *= dVgs_eff_dVg;
}
else
{ ExpVgst = exp(VgstNVt);
T1 = T10 * log(1.0 + ExpVgst);
dT1_dVg = ExpVgst / (1.0 + ExpVgst);
dT1_dVb = -dT1_dVg * (dVth_dVb + Vgst / n * dn_dVb)
+ T1 / n * dn_dVb;
dT1_dVd = -dT1_dVg * (dVth_dVd + Vgst / n * dn_dVd)
+ T1 / n * dn_dVd;
dT2_dVg = -model->BSIM3v32cox / (Vtm * pParam->BSIM3v32cdep0)
* exp(ExpArg);
T2 = 1.0 - T10 * dT2_dVg;
dT2_dVd = -dT2_dVg * (dVth_dVd - 2.0 * Vtm * ExpArg * dn_dVd)
+ (T2 - 1.0) / n * dn_dVd;
dT2_dVb = -dT2_dVg * (dVth_dVb - 2.0 * Vtm * ExpArg * dn_dVb)
+ (T2 - 1.0) / n * dn_dVb;
Vgsteff = T1 / T2;
T3 = T2 * T2;
dVgsteff_dVg = (T2 * dT1_dVg - T1 * dT2_dVg) / T3 * dVgs_eff_dVg;
dVgsteff_dVd = (T2 * dT1_dVd - T1 * dT2_dVd) / T3;
dVgsteff_dVb = (T2 * dT1_dVb - T1 * dT2_dVb) / T3;
}
/* Added revision dependent code */
if (model->BSIM3v32intVersion > BSIM3v32V323) {
here->BSIM3v32Vgsteff = Vgsteff;
}
/* Calculate Effective Channel Geometry */
T9 = sqrtPhis - pParam->BSIM3v32sqrtPhi;
Weff = pParam->BSIM3v32weff - 2.0 * (pParam->BSIM3v32dwg * Vgsteff
+ pParam->BSIM3v32dwb * T9);
dWeff_dVg = -2.0 * pParam->BSIM3v32dwg;
dWeff_dVb = -2.0 * pParam->BSIM3v32dwb * dsqrtPhis_dVb;
if (Weff < 2.0e-8) /* to avoid the discontinuity problem due to Weff*/
{ T0 = 1.0 / (6.0e-8 - 2.0 * Weff);
Weff = 2.0e-8 * (4.0e-8 - Weff) * T0;
T0 *= T0 * 4.0e-16;
dWeff_dVg *= T0;
dWeff_dVb *= T0;
}
T0 = pParam->BSIM3v32prwg * Vgsteff + pParam->BSIM3v32prwb * T9;
if (T0 >= -0.9)
{ Rds = pParam->BSIM3v32rds0 * (1.0 + T0);
dRds_dVg = pParam->BSIM3v32rds0 * pParam->BSIM3v32prwg;
dRds_dVb = pParam->BSIM3v32rds0 * pParam->BSIM3v32prwb * dsqrtPhis_dVb;
}
else
/* to avoid the discontinuity problem due to prwg and prwb*/
{ T1 = 1.0 / (17.0 + 20.0 * T0);
Rds = pParam->BSIM3v32rds0 * (0.8 + T0) * T1;
T1 *= T1;
dRds_dVg = pParam->BSIM3v32rds0 * pParam->BSIM3v32prwg * T1;
dRds_dVb = pParam->BSIM3v32rds0 * pParam->BSIM3v32prwb * dsqrtPhis_dVb
* T1;
}
/* Added revision dependent code */
if (model->BSIM3v32intVersion > BSIM3v32V323) {
here->BSIM3v32rds = Rds; /* Noise Bugfix */
}
/* Calculate Abulk */
T1 = 0.5 * pParam->BSIM3v32k1ox / sqrtPhis;
dT1_dVb = -T1 / sqrtPhis * dsqrtPhis_dVb;
T9 = sqrt(pParam->BSIM3v32xj * Xdep);
tmp1 = Leff + 2.0 * T9;
T5 = Leff / tmp1;
tmp2 = pParam->BSIM3v32a0 * T5;
tmp3 = pParam->BSIM3v32weff + pParam->BSIM3v32b1;
tmp4 = pParam->BSIM3v32b0 / tmp3;
T2 = tmp2 + tmp4;
dT2_dVb = -T9 / tmp1 / Xdep * dXdep_dVb;
T6 = T5 * T5;
T7 = T5 * T6;
Abulk0 = 1.0 + T1 * T2;
dAbulk0_dVb = T1 * tmp2 * dT2_dVb + T2 * dT1_dVb;
T8 = pParam->BSIM3v32ags * pParam->BSIM3v32a0 * T7;
dAbulk_dVg = -T1 * T8;
Abulk = Abulk0 + dAbulk_dVg * Vgsteff;
dAbulk_dVb = dAbulk0_dVb - T8 * Vgsteff * (dT1_dVb
+ 3.0 * T1 * dT2_dVb);
if (Abulk0 < 0.1) /* added to avoid the problems caused by Abulk0 */
{ T9 = 1.0 / (3.0 - 20.0 * Abulk0);
Abulk0 = (0.2 - Abulk0) * T9;
dAbulk0_dVb *= T9 * T9;
}
if (Abulk < 0.1)
/* added to avoid the problems caused by Abulk */
{ T9 = 1.0 / (3.0 - 20.0 * Abulk);
Abulk = (0.2 - Abulk) * T9;
/* Added revision dependent code */
if (model->BSIM3v32intVersion > BSIM3v32V32) {
T10 = T9 * T9;
dAbulk_dVb *= T10;
dAbulk_dVg *= T10;
} else {
dAbulk_dVb *= T9 * T9;
}
}
/* Added revision dependent code */
if (model->BSIM3v32intVersion > BSIM3v32V323) {
here->BSIM3v32Abulk = Abulk;
}
T2 = pParam->BSIM3v32keta * Vbseff;
if (T2 >= -0.9)
{ T0 = 1.0 / (1.0 + T2);
dT0_dVb = -pParam->BSIM3v32keta * T0 * T0;
}
else
/* added to avoid the problems caused by Keta */
{ T1 = 1.0 / (0.8 + T2);
T0 = (17.0 + 20.0 * T2) * T1;
dT0_dVb = -pParam->BSIM3v32keta * T1 * T1;
}
dAbulk_dVg *= T0;
dAbulk_dVb = dAbulk_dVb * T0 + Abulk * dT0_dVb;
dAbulk0_dVb = dAbulk0_dVb * T0 + Abulk0 * dT0_dVb;
Abulk *= T0;
Abulk0 *= T0;
/* Mobility calculation */
if (model->BSIM3v32mobMod == 1)
{ T0 = Vgsteff + Vth + Vth;
T2 = pParam->BSIM3v32ua + pParam->BSIM3v32uc * Vbseff;
T3 = T0 / model->BSIM3v32tox;
T5 = T3 * (T2 + pParam->BSIM3v32ub * T3);
dDenomi_dVg = (T2 + 2.0 * pParam->BSIM3v32ub * T3) / model->BSIM3v32tox;
dDenomi_dVd = dDenomi_dVg * 2.0 * dVth_dVd;
dDenomi_dVb = dDenomi_dVg * 2.0 * dVth_dVb + pParam->BSIM3v32uc * T3;
}
else if (model->BSIM3v32mobMod == 2)
{ T5 = Vgsteff / model->BSIM3v32tox * (pParam->BSIM3v32ua
+ pParam->BSIM3v32uc * Vbseff + pParam->BSIM3v32ub * Vgsteff
/ model->BSIM3v32tox);
dDenomi_dVg = (pParam->BSIM3v32ua + pParam->BSIM3v32uc * Vbseff
+ 2.0 * pParam->BSIM3v32ub * Vgsteff / model->BSIM3v32tox)
/ model->BSIM3v32tox;
dDenomi_dVd = 0.0;
dDenomi_dVb = Vgsteff * pParam->BSIM3v32uc / model->BSIM3v32tox;
}
else
{ T0 = Vgsteff + Vth + Vth;
T2 = 1.0 + pParam->BSIM3v32uc * Vbseff;
T3 = T0 / model->BSIM3v32tox;
T4 = T3 * (pParam->BSIM3v32ua + pParam->BSIM3v32ub * T3);
T5 = T4 * T2;
dDenomi_dVg = (pParam->BSIM3v32ua + 2.0 * pParam->BSIM3v32ub * T3) * T2
/ model->BSIM3v32tox;
dDenomi_dVd = dDenomi_dVg * 2.0 * dVth_dVd;
dDenomi_dVb = dDenomi_dVg * 2.0 * dVth_dVb + pParam->BSIM3v32uc * T4;
}
if (T5 >= -0.8)
{ Denomi = 1.0 + T5;
}
else /* Added to avoid the discontinuity problem caused by ua and ub*/
{ T9 = 1.0 / (7.0 + 10.0 * T5);
Denomi = (0.6 + T5) * T9;
T9 *= T9;
dDenomi_dVg *= T9;
dDenomi_dVd *= T9;
dDenomi_dVb *= T9;
}
here->BSIM3v32ueff = ueff = here->BSIM3v32u0temp / Denomi;
T9 = -ueff / Denomi;
dueff_dVg = T9 * dDenomi_dVg;
dueff_dVd = T9 * dDenomi_dVd;
dueff_dVb = T9 * dDenomi_dVb;
/* Saturation Drain Voltage Vdsat */
WVCox = Weff * pParam->BSIM3v32vsattemp * model->BSIM3v32cox;
WVCoxRds = WVCox * Rds;
Esat = 2.0 * pParam->BSIM3v32vsattemp / ueff;
EsatL = Esat * Leff;
T0 = -EsatL /ueff;
dEsatL_dVg = T0 * dueff_dVg;
dEsatL_dVd = T0 * dueff_dVd;
dEsatL_dVb = T0 * dueff_dVb;
/* Sqrt() */
a1 = pParam->BSIM3v32a1;
if (a1 == 0.0)
{ Lambda = pParam->BSIM3v32a2;
dLambda_dVg = 0.0;
}
else if (a1 > 0.0)
/* Added to avoid the discontinuity problem
caused by a1 and a2 (Lambda) */
{ T0 = 1.0 - pParam->BSIM3v32a2;
T1 = T0 - pParam->BSIM3v32a1 * Vgsteff - 0.0001;
T2 = sqrt(T1 * T1 + 0.0004 * T0);
Lambda = pParam->BSIM3v32a2 + T0 - 0.5 * (T1 + T2);
dLambda_dVg = 0.5 * pParam->BSIM3v32a1 * (1.0 + T1 / T2);
}
else
{ T1 = pParam->BSIM3v32a2 + pParam->BSIM3v32a1 * Vgsteff - 0.0001;
T2 = sqrt(T1 * T1 + 0.0004 * pParam->BSIM3v32a2);
Lambda = 0.5 * (T1 + T2);
dLambda_dVg = 0.5 * pParam->BSIM3v32a1 * (1.0 + T1 / T2);
}
Vgst2Vtm = Vgsteff + 2.0 * Vtm;
/* Added revision dependent code */
if (model->BSIM3v32intVersion > BSIM3v32V323) {
here->BSIM3v32AbovVgst2Vtm = Abulk / Vgst2Vtm;
}
if (Rds > 0)
{ tmp2 = dRds_dVg / Rds + dWeff_dVg / Weff;
tmp3 = dRds_dVb / Rds + dWeff_dVb / Weff;
}
else
{ tmp2 = dWeff_dVg / Weff;
tmp3 = dWeff_dVb / Weff;
}
if ((Rds == 0.0) && (Lambda == 1.0))
{ T0 = 1.0 / (Abulk * EsatL + Vgst2Vtm);
tmp1 = 0.0;
T1 = T0 * T0;
T2 = Vgst2Vtm * T0;
T3 = EsatL * Vgst2Vtm;
Vdsat = T3 * T0;
dT0_dVg = -(Abulk * dEsatL_dVg + EsatL * dAbulk_dVg + 1.0) * T1;
dT0_dVd = -(Abulk * dEsatL_dVd) * T1;
dT0_dVb = -(Abulk * dEsatL_dVb + dAbulk_dVb * EsatL) * T1;
dVdsat_dVg = T3 * dT0_dVg + T2 * dEsatL_dVg + EsatL * T0;
dVdsat_dVd = T3 * dT0_dVd + T2 * dEsatL_dVd;
dVdsat_dVb = T3 * dT0_dVb + T2 * dEsatL_dVb;
}
else
{ tmp1 = dLambda_dVg / (Lambda * Lambda);
T9 = Abulk * WVCoxRds;
T8 = Abulk * T9;
T7 = Vgst2Vtm * T9;
T6 = Vgst2Vtm * WVCoxRds;
T0 = 2.0 * Abulk * (T9 - 1.0 + 1.0 / Lambda);
dT0_dVg = 2.0 * (T8 * tmp2 - Abulk * tmp1
+ (2.0 * T9 + 1.0 / Lambda - 1.0) * dAbulk_dVg);
dT0_dVb = 2.0 * (T8 * (2.0 / Abulk * dAbulk_dVb + tmp3)
+ (1.0 / Lambda - 1.0) * dAbulk_dVb);
dT0_dVd = 0.0;
T1 = Vgst2Vtm * (2.0 / Lambda - 1.0) + Abulk * EsatL + 3.0 * T7;
dT1_dVg = (2.0 / Lambda - 1.0) - 2.0 * Vgst2Vtm * tmp1
+ Abulk * dEsatL_dVg + EsatL * dAbulk_dVg + 3.0 * (T9
+ T7 * tmp2 + T6 * dAbulk_dVg);
dT1_dVb = Abulk * dEsatL_dVb + EsatL * dAbulk_dVb
+ 3.0 * (T6 * dAbulk_dVb + T7 * tmp3);
dT1_dVd = Abulk * dEsatL_dVd;
T2 = Vgst2Vtm * (EsatL + 2.0 * T6);
dT2_dVg = EsatL + Vgst2Vtm * dEsatL_dVg
+ T6 * (4.0 + 2.0 * Vgst2Vtm * tmp2);
dT2_dVb = Vgst2Vtm * (dEsatL_dVb + 2.0 * T6 * tmp3);
dT2_dVd = Vgst2Vtm * dEsatL_dVd;
T3 = sqrt(T1 * T1 - 2.0 * T0 * T2);
Vdsat = (T1 - T3) / T0;
dT3_dVg = (T1 * dT1_dVg - 2.0 * (T0 * dT2_dVg + T2 * dT0_dVg))
/ T3;
dT3_dVd = (T1 * dT1_dVd - 2.0 * (T0 * dT2_dVd + T2 * dT0_dVd))
/ T3;
dT3_dVb = (T1 * dT1_dVb - 2.0 * (T0 * dT2_dVb + T2 * dT0_dVb))
/ T3;
dVdsat_dVg = (dT1_dVg - (T1 * dT1_dVg - dT0_dVg * T2
- T0 * dT2_dVg) / T3 - Vdsat * dT0_dVg) / T0;
dVdsat_dVb = (dT1_dVb - (T1 * dT1_dVb - dT0_dVb * T2
- T0 * dT2_dVb) / T3 - Vdsat * dT0_dVb) / T0;
dVdsat_dVd = (dT1_dVd - (T1 * dT1_dVd - T0 * dT2_dVd) / T3) / T0;
}
here->BSIM3v32vdsat = Vdsat;
/* Effective Vds (Vdseff) Calculation */
T1 = Vdsat - Vds - pParam->BSIM3v32delta;
dT1_dVg = dVdsat_dVg;
dT1_dVd = dVdsat_dVd - 1.0;
dT1_dVb = dVdsat_dVb;
T2 = sqrt(T1 * T1 + 4.0 * pParam->BSIM3v32delta * Vdsat);
T0 = T1 / T2;
T3 = 2.0 * pParam->BSIM3v32delta / T2;
dT2_dVg = T0 * dT1_dVg + T3 * dVdsat_dVg;
dT2_dVd = T0 * dT1_dVd + T3 * dVdsat_dVd;
dT2_dVb = T0 * dT1_dVb + T3 * dVdsat_dVb;
Vdseff = Vdsat - 0.5 * (T1 + T2);
dVdseff_dVg = dVdsat_dVg - 0.5 * (dT1_dVg + dT2_dVg);
dVdseff_dVd = dVdsat_dVd - 0.5 * (dT1_dVd + dT2_dVd);
dVdseff_dVb = dVdsat_dVb - 0.5 * (dT1_dVb + dT2_dVb);
/* Added revision dependent code */
switch (model->BSIM3v32intVersion) {
case BSIM3v32V324:
case BSIM3v32V323:
case BSIM3v32V322:
/* Added to eliminate non-zero Vdseff at Vds=0.0 */
if (Vds == 0.0)
{
Vdseff = 0.0;
dVdseff_dVg = 0.0;
dVdseff_dVb = 0.0;
}
break;
case BSIM3v32V32:
default:
/* Do nothing */
break;
}
/* Calculate VAsat */
tmp4 = 1.0 - 0.5 * Abulk * Vdsat / Vgst2Vtm;
T9 = WVCoxRds * Vgsteff;
T8 = T9 / Vgst2Vtm;
T0 = EsatL + Vdsat + 2.0 * T9 * tmp4;
T7 = 2.0 * WVCoxRds * tmp4;
dT0_dVg = dEsatL_dVg + dVdsat_dVg + T7 * (1.0 + tmp2 * Vgsteff)
- T8 * (Abulk * dVdsat_dVg - Abulk * Vdsat / Vgst2Vtm
+ Vdsat * dAbulk_dVg);
dT0_dVb = dEsatL_dVb + dVdsat_dVb + T7 * tmp3 * Vgsteff
- T8 * (dAbulk_dVb * Vdsat + Abulk * dVdsat_dVb);
dT0_dVd = dEsatL_dVd + dVdsat_dVd - T8 * Abulk * dVdsat_dVd;
T9 = WVCoxRds * Abulk;
T1 = 2.0 / Lambda - 1.0 + T9;
dT1_dVg = -2.0 * tmp1 + WVCoxRds * (Abulk * tmp2 + dAbulk_dVg);
dT1_dVb = dAbulk_dVb * WVCoxRds + T9 * tmp3;
Vasat = T0 / T1;
dVasat_dVg = (dT0_dVg - Vasat * dT1_dVg) / T1;
dVasat_dVb = (dT0_dVb - Vasat * dT1_dVb) / T1;
dVasat_dVd = dT0_dVd / T1;
if (Vdseff > Vds)
Vdseff = Vds;
diffVds = Vds - Vdseff;
/* Added revision dependent code */
if (model->BSIM3v32intVersion > BSIM3v32V323) {
here->BSIM3v32Vdseff = Vdseff;
}
/* Calculate VACLM */
if ((pParam->BSIM3v32pclm > 0.0) && (diffVds > 1.0e-10))
{ T0 = 1.0 / (pParam->BSIM3v32pclm * Abulk * pParam->BSIM3v32litl);
dT0_dVb = -T0 / Abulk * dAbulk_dVb;
dT0_dVg = -T0 / Abulk * dAbulk_dVg;
T2 = Vgsteff / EsatL;
T1 = Leff * (Abulk + T2);
dT1_dVg = Leff * ((1.0 - T2 * dEsatL_dVg) / EsatL + dAbulk_dVg);
dT1_dVb = Leff * (dAbulk_dVb - T2 * dEsatL_dVb / EsatL);
dT1_dVd = -T2 * dEsatL_dVd / Esat;
T9 = T0 * T1;
VACLM = T9 * diffVds;
dVACLM_dVg = T0 * dT1_dVg * diffVds - T9 * dVdseff_dVg
+ T1 * diffVds * dT0_dVg;
dVACLM_dVb = (dT0_dVb * T1 + T0 * dT1_dVb) * diffVds
- T9 * dVdseff_dVb;
dVACLM_dVd = T0 * dT1_dVd * diffVds + T9 * (1.0 - dVdseff_dVd);
}
else
{ VACLM = MAX_EXP;
dVACLM_dVd = dVACLM_dVg = dVACLM_dVb = 0.0;
}
/* Calculate VADIBL */
if (pParam->BSIM3v32thetaRout > 0.0)
{ T8 = Abulk * Vdsat;
T0 = Vgst2Vtm * T8;
dT0_dVg = Vgst2Vtm * Abulk * dVdsat_dVg + T8
+ Vgst2Vtm * Vdsat * dAbulk_dVg;
dT0_dVb = Vgst2Vtm * (dAbulk_dVb * Vdsat + Abulk * dVdsat_dVb);
dT0_dVd = Vgst2Vtm * Abulk * dVdsat_dVd;
T1 = Vgst2Vtm + T8;
dT1_dVg = 1.0 + Abulk * dVdsat_dVg + Vdsat * dAbulk_dVg;
dT1_dVb = Abulk * dVdsat_dVb + dAbulk_dVb * Vdsat;
dT1_dVd = Abulk * dVdsat_dVd;
T9 = T1 * T1;
T2 = pParam->BSIM3v32thetaRout;
VADIBL = (Vgst2Vtm - T0 / T1) / T2;
dVADIBL_dVg = (1.0 - dT0_dVg / T1 + T0 * dT1_dVg / T9) / T2;
dVADIBL_dVb = (-dT0_dVb / T1 + T0 * dT1_dVb / T9) / T2;
dVADIBL_dVd = (-dT0_dVd / T1 + T0 * dT1_dVd / T9) / T2;
T7 = pParam->BSIM3v32pdiblb * Vbseff;
if (T7 >= -0.9)
{ T3 = 1.0 / (1.0 + T7);
VADIBL *= T3;
dVADIBL_dVg *= T3;
dVADIBL_dVb = (dVADIBL_dVb - VADIBL * pParam->BSIM3v32pdiblb)
* T3;
dVADIBL_dVd *= T3;
}
else
/* Added to avoid the discontinuity problem caused by pdiblcb */
{ T4 = 1.0 / (0.8 + T7);
T3 = (17.0 + 20.0 * T7) * T4;
dVADIBL_dVg *= T3;
dVADIBL_dVb = dVADIBL_dVb * T3
- VADIBL * pParam->BSIM3v32pdiblb * T4 * T4;
dVADIBL_dVd *= T3;
VADIBL *= T3;
}
}
else
{ VADIBL = MAX_EXP;
dVADIBL_dVd = dVADIBL_dVg = dVADIBL_dVb = 0.0;
}
/* Calculate VA */
T8 = pParam->BSIM3v32pvag / EsatL;
T9 = T8 * Vgsteff;
if (T9 > -0.9)
{ T0 = 1.0 + T9;
dT0_dVg = T8 * (1.0 - Vgsteff * dEsatL_dVg / EsatL);
dT0_dVb = -T9 * dEsatL_dVb / EsatL;
dT0_dVd = -T9 * dEsatL_dVd / EsatL;
}
else /* Added to avoid the discontinuity problems caused by pvag */
{ T1 = 1.0 / (17.0 + 20.0 * T9);
T0 = (0.8 + T9) * T1;
T1 *= T1;
dT0_dVg = T8 * (1.0 - Vgsteff * dEsatL_dVg / EsatL) * T1;
T9 *= T1 / EsatL;
dT0_dVb = -T9 * dEsatL_dVb;
dT0_dVd = -T9 * dEsatL_dVd;
}
tmp1 = VACLM * VACLM;
tmp2 = VADIBL * VADIBL;
tmp3 = VACLM + VADIBL;
T1 = VACLM * VADIBL / tmp3;
tmp3 *= tmp3;
dT1_dVg = (tmp1 * dVADIBL_dVg + tmp2 * dVACLM_dVg) / tmp3;
dT1_dVd = (tmp1 * dVADIBL_dVd + tmp2 * dVACLM_dVd) / tmp3;
dT1_dVb = (tmp1 * dVADIBL_dVb + tmp2 * dVACLM_dVb) / tmp3;
Va = Vasat + T0 * T1;
dVa_dVg = dVasat_dVg + T1 * dT0_dVg + T0 * dT1_dVg;
dVa_dVd = dVasat_dVd + T1 * dT0_dVd + T0 * dT1_dVd;
dVa_dVb = dVasat_dVb + T1 * dT0_dVb + T0 * dT1_dVb;
/* Calculate VASCBE */
if (pParam->BSIM3v32pscbe2 > 0.0)
{ if (diffVds > pParam->BSIM3v32pscbe1 * pParam->BSIM3v32litl
/ EXP_THRESHOLD)
{ T0 = pParam->BSIM3v32pscbe1 * pParam->BSIM3v32litl / diffVds;
VASCBE = Leff * exp(T0) / pParam->BSIM3v32pscbe2;
T1 = T0 * VASCBE / diffVds;
dVASCBE_dVg = T1 * dVdseff_dVg;
dVASCBE_dVd = -T1 * (1.0 - dVdseff_dVd);
dVASCBE_dVb = T1 * dVdseff_dVb;
}
else
{ VASCBE = MAX_EXP * Leff/pParam->BSIM3v32pscbe2;
dVASCBE_dVg = dVASCBE_dVd = dVASCBE_dVb = 0.0;
}
}
else
{ VASCBE = MAX_EXP;
dVASCBE_dVg = dVASCBE_dVd = dVASCBE_dVb = 0.0;
}
/* Calculate Ids */
CoxWovL = model->BSIM3v32cox * Weff / Leff;
beta = ueff * CoxWovL;
dbeta_dVg = CoxWovL * dueff_dVg + beta * dWeff_dVg / Weff;
dbeta_dVd = CoxWovL * dueff_dVd;
dbeta_dVb = CoxWovL * dueff_dVb + beta * dWeff_dVb / Weff;
T0 = 1.0 - 0.5 * Abulk * Vdseff / Vgst2Vtm;
dT0_dVg = -0.5 * (Abulk * dVdseff_dVg
- Abulk * Vdseff / Vgst2Vtm + Vdseff * dAbulk_dVg) / Vgst2Vtm;
dT0_dVd = -0.5 * Abulk * dVdseff_dVd / Vgst2Vtm;
dT0_dVb = -0.5 * (Abulk * dVdseff_dVb + dAbulk_dVb * Vdseff)
/ Vgst2Vtm;
fgche1 = Vgsteff * T0;
dfgche1_dVg = Vgsteff * dT0_dVg + T0;
dfgche1_dVd = Vgsteff * dT0_dVd;
dfgche1_dVb = Vgsteff * dT0_dVb;
T9 = Vdseff / EsatL;
fgche2 = 1.0 + T9;
dfgche2_dVg = (dVdseff_dVg - T9 * dEsatL_dVg) / EsatL;
dfgche2_dVd = (dVdseff_dVd - T9 * dEsatL_dVd) / EsatL;
dfgche2_dVb = (dVdseff_dVb - T9 * dEsatL_dVb) / EsatL;
gche = beta * fgche1 / fgche2;
dgche_dVg = (beta * dfgche1_dVg + fgche1 * dbeta_dVg
- gche * dfgche2_dVg) / fgche2;
dgche_dVd = (beta * dfgche1_dVd + fgche1 * dbeta_dVd
- gche * dfgche2_dVd) / fgche2;
dgche_dVb = (beta * dfgche1_dVb + fgche1 * dbeta_dVb
- gche * dfgche2_dVb) / fgche2;
T0 = 1.0 + gche * Rds;
T9 = Vdseff / T0;
Idl = gche * T9;
dIdl_dVg = (gche * dVdseff_dVg + T9 * dgche_dVg) / T0
- Idl * gche / T0 * dRds_dVg ;
dIdl_dVd = (gche * dVdseff_dVd + T9 * dgche_dVd) / T0;
dIdl_dVb = (gche * dVdseff_dVb + T9 * dgche_dVb
- Idl * dRds_dVb * gche) / T0;
T9 = diffVds / Va;
T0 = 1.0 + T9;
Idsa = Idl * T0;
dIdsa_dVg = T0 * dIdl_dVg - Idl * (dVdseff_dVg + T9 * dVa_dVg) / Va;
dIdsa_dVd = T0 * dIdl_dVd + Idl * (1.0 - dVdseff_dVd
- T9 * dVa_dVd) / Va;
dIdsa_dVb = T0 * dIdl_dVb - Idl * (dVdseff_dVb + T9 * dVa_dVb) / Va;
T9 = diffVds / VASCBE;
T0 = 1.0 + T9;
Ids = Idsa * T0;
Gm = T0 * dIdsa_dVg - Idsa * (dVdseff_dVg + T9 * dVASCBE_dVg) / VASCBE;
Gds = T0 * dIdsa_dVd + Idsa * (1.0 - dVdseff_dVd
- T9 * dVASCBE_dVd) / VASCBE;
Gmb = T0 * dIdsa_dVb - Idsa * (dVdseff_dVb
+ T9 * dVASCBE_dVb) / VASCBE;
Gds += Gm * dVgsteff_dVd;
Gmb += Gm * dVgsteff_dVb;
Gm *= dVgsteff_dVg;
Gmb *= dVbseff_dVb;
/* Substrate current begins */
tmp = pParam->BSIM3v32alpha0 + pParam->BSIM3v32alpha1 * Leff;
if ((tmp <= 0.0) || (pParam->BSIM3v32beta0 <= 0.0))
{ Isub = Gbd = Gbb = Gbg = 0.0;
}
else
{ T2 = tmp / Leff;
if (diffVds > pParam->BSIM3v32beta0 / EXP_THRESHOLD)
{ T0 = -pParam->BSIM3v32beta0 / diffVds;
T1 = T2 * diffVds * exp(T0);
T3 = T1 / diffVds * (T0 - 1.0);
dT1_dVg = T3 * dVdseff_dVg;
dT1_dVd = T3 * (dVdseff_dVd - 1.0);
dT1_dVb = T3 * dVdseff_dVb;
}
else
{ T3 = T2 * MIN_EXP;
T1 = T3 * diffVds;
dT1_dVg = -T3 * dVdseff_dVg;
dT1_dVd = T3 * (1.0 - dVdseff_dVd);
dT1_dVb = -T3 * dVdseff_dVb;
}
Isub = T1 * Idsa;
Gbg = T1 * dIdsa_dVg + Idsa * dT1_dVg;
Gbd = T1 * dIdsa_dVd + Idsa * dT1_dVd;
Gbb = T1 * dIdsa_dVb + Idsa * dT1_dVb;
Gbd += Gbg * dVgsteff_dVd;
Gbb += Gbg * dVgsteff_dVb;
Gbg *= dVgsteff_dVg;
Gbb *= dVbseff_dVb; /* bug fixing */
}
cdrain = Ids;
here->BSIM3v32gds = Gds;
here->BSIM3v32gm = Gm;
here->BSIM3v32gmbs = Gmb;
here->BSIM3v32gbbs = Gbb;
here->BSIM3v32gbgs = Gbg;
here->BSIM3v32gbds = Gbd;
here->BSIM3v32csub = Isub;
/* BSIM3v32 thermal noise Qinv calculated from all capMod
* 0, 1, 2 & 3 stored in here->BSIM3v32qinv 1/1998 */
if ((model->BSIM3v32xpart < 0) || (!ChargeComputationNeeded))
{ qgate = qdrn = qsrc = qbulk = 0.0;
here->BSIM3v32cggb = here->BSIM3v32cgsb = here->BSIM3v32cgdb = 0.0;
here->BSIM3v32cdgb = here->BSIM3v32cdsb = here->BSIM3v32cddb = 0.0;
here->BSIM3v32cbgb = here->BSIM3v32cbsb = here->BSIM3v32cbdb = 0.0;
here->BSIM3v32cqdb = here->BSIM3v32cqsb = here->BSIM3v32cqgb
= here->BSIM3v32cqbb = 0.0;
here->BSIM3v32gtau = 0.0;
goto finished;
}
else if (model->BSIM3v32capMod == 0)
{
if (Vbseff < 0.0)
{ Vbseff = Vbs;
dVbseff_dVb = 1.0;
}
else
{ Vbseff = pParam->BSIM3v32phi - Phis;
dVbseff_dVb = -dPhis_dVb;
}
Vfb = pParam->BSIM3v32vfbcv;
Vth = Vfb + pParam->BSIM3v32phi + pParam->BSIM3v32k1ox * sqrtPhis;
Vgst = Vgs_eff - Vth;
dVth_dVb = pParam->BSIM3v32k1ox * dsqrtPhis_dVb;
dVgst_dVb = -dVth_dVb;
dVgst_dVg = dVgs_eff_dVg;
CoxWL = model->BSIM3v32cox * pParam->BSIM3v32weffCV
* pParam->BSIM3v32leffCV;
Arg1 = Vgs_eff - Vbseff - Vfb;
if (Arg1 <= 0.0)
{ qgate = CoxWL * Arg1;
qbulk = -qgate;
qdrn = 0.0;
here->BSIM3v32cggb = CoxWL * dVgs_eff_dVg;
here->BSIM3v32cgdb = 0.0;
here->BSIM3v32cgsb = CoxWL * (dVbseff_dVb - dVgs_eff_dVg);
here->BSIM3v32cdgb = 0.0;
here->BSIM3v32cddb = 0.0;
here->BSIM3v32cdsb = 0.0;
here->BSIM3v32cbgb = -CoxWL * dVgs_eff_dVg;
here->BSIM3v32cbdb = 0.0;
here->BSIM3v32cbsb = -here->BSIM3v32cgsb;
here->BSIM3v32qinv = 0.0;
}
else if (Vgst <= 0.0)
{ T1 = 0.5 * pParam->BSIM3v32k1ox;
T2 = sqrt(T1 * T1 + Arg1);
qgate = CoxWL * pParam->BSIM3v32k1ox * (T2 - T1);
qbulk = -qgate;
qdrn = 0.0;
T0 = CoxWL * T1 / T2;
here->BSIM3v32cggb = T0 * dVgs_eff_dVg;
here->BSIM3v32cgdb = 0.0;
here->BSIM3v32cgsb = T0 * (dVbseff_dVb - dVgs_eff_dVg);
here->BSIM3v32cdgb = 0.0;
here->BSIM3v32cddb = 0.0;
here->BSIM3v32cdsb = 0.0;
here->BSIM3v32cbgb = -here->BSIM3v32cggb;
here->BSIM3v32cbdb = 0.0;
here->BSIM3v32cbsb = -here->BSIM3v32cgsb;
here->BSIM3v32qinv = 0.0;
}
else
{ One_Third_CoxWL = CoxWL / 3.0;
Two_Third_CoxWL = 2.0 * One_Third_CoxWL;
AbulkCV = Abulk0 * pParam->BSIM3v32abulkCVfactor;
dAbulkCV_dVb = pParam->BSIM3v32abulkCVfactor * dAbulk0_dVb;
Vdsat = Vgst / AbulkCV;
dVdsat_dVg = dVgs_eff_dVg / AbulkCV;
dVdsat_dVb = - (Vdsat * dAbulkCV_dVb + dVth_dVb)/ AbulkCV;
if (model->BSIM3v32xpart > 0.5)
{ /* 0/100 Charge partition model */
if (Vdsat <= Vds)
{ /* saturation region */
T1 = Vdsat / 3.0;
qgate = CoxWL * (Vgs_eff - Vfb
- pParam->BSIM3v32phi - T1);
T2 = -Two_Third_CoxWL * Vgst;
qbulk = -(qgate + T2);
qdrn = 0.0;
here->BSIM3v32cggb = One_Third_CoxWL * (3.0
- dVdsat_dVg) * dVgs_eff_dVg;
T2 = -One_Third_CoxWL * dVdsat_dVb;
here->BSIM3v32cgsb = -(here->BSIM3v32cggb + T2);
here->BSIM3v32cgdb = 0.0;
here->BSIM3v32cdgb = 0.0;
here->BSIM3v32cddb = 0.0;
here->BSIM3v32cdsb = 0.0;
here->BSIM3v32cbgb = -(here->BSIM3v32cggb
- Two_Third_CoxWL * dVgs_eff_dVg);
T3 = -(T2 + Two_Third_CoxWL * dVth_dVb);
here->BSIM3v32cbsb = -(here->BSIM3v32cbgb + T3);
here->BSIM3v32cbdb = 0.0;
here->BSIM3v32qinv = -(qgate + qbulk);
}
else
{ /* linear region */
Alphaz = Vgst / Vdsat;
T1 = 2.0 * Vdsat - Vds;
T2 = Vds / (3.0 * T1);
T3 = T2 * Vds;
T9 = 0.25 * CoxWL;
T4 = T9 * Alphaz;
T7 = 2.0 * Vds - T1 - 3.0 * T3;
T8 = T3 - T1 - 2.0 * Vds;
qgate = CoxWL * (Vgs_eff - Vfb
- pParam->BSIM3v32phi - 0.5 * (Vds - T3));
T10 = T4 * T8;
qdrn = T4 * T7;
qbulk = -(qgate + qdrn + T10);
T5 = T3 / T1;
here->BSIM3v32cggb = CoxWL * (1.0 - T5 * dVdsat_dVg)
* dVgs_eff_dVg;
T11 = -CoxWL * T5 * dVdsat_dVb;
here->BSIM3v32cgdb = CoxWL * (T2 - 0.5 + 0.5 * T5);
here->BSIM3v32cgsb = -(here->BSIM3v32cggb + T11
+ here->BSIM3v32cgdb);
T6 = 1.0 / Vdsat;
dAlphaz_dVg = T6 * (1.0 - Alphaz * dVdsat_dVg);
dAlphaz_dVb = -T6 * (dVth_dVb + Alphaz * dVdsat_dVb);
T7 = T9 * T7;
T8 = T9 * T8;
T9 = 2.0 * T4 * (1.0 - 3.0 * T5);
here->BSIM3v32cdgb = (T7 * dAlphaz_dVg - T9
* dVdsat_dVg) * dVgs_eff_dVg;
T12 = T7 * dAlphaz_dVb - T9 * dVdsat_dVb;
here->BSIM3v32cddb = T4 * (3.0 - 6.0 * T2 - 3.0 * T5);
here->BSIM3v32cdsb = -(here->BSIM3v32cdgb + T12
+ here->BSIM3v32cddb);
T9 = 2.0 * T4 * (1.0 + T5);
T10 = (T8 * dAlphaz_dVg - T9 * dVdsat_dVg)
* dVgs_eff_dVg;
T11 = T8 * dAlphaz_dVb - T9 * dVdsat_dVb;
T12 = T4 * (2.0 * T2 + T5 - 1.0);
T0 = -(T10 + T11 + T12);
here->BSIM3v32cbgb = -(here->BSIM3v32cggb
+ here->BSIM3v32cdgb + T10);
here->BSIM3v32cbdb = -(here->BSIM3v32cgdb
+ here->BSIM3v32cddb + T12);
here->BSIM3v32cbsb = -(here->BSIM3v32cgsb
+ here->BSIM3v32cdsb + T0);
here->BSIM3v32qinv = -(qgate + qbulk);
}
}
else if (model->BSIM3v32xpart < 0.5)
{ /* 40/60 Charge partition model */
if (Vds >= Vdsat)
{ /* saturation region */
T1 = Vdsat / 3.0;
qgate = CoxWL * (Vgs_eff - Vfb
- pParam->BSIM3v32phi - T1);
T2 = -Two_Third_CoxWL * Vgst;
qbulk = -(qgate + T2);
qdrn = 0.4 * T2;
here->BSIM3v32cggb = One_Third_CoxWL * (3.0
- dVdsat_dVg) * dVgs_eff_dVg;
T2 = -One_Third_CoxWL * dVdsat_dVb;
here->BSIM3v32cgsb = -(here->BSIM3v32cggb + T2);
here->BSIM3v32cgdb = 0.0;
T3 = 0.4 * Two_Third_CoxWL;
here->BSIM3v32cdgb = -T3 * dVgs_eff_dVg;
here->BSIM3v32cddb = 0.0;
T4 = T3 * dVth_dVb;
here->BSIM3v32cdsb = -(T4 + here->BSIM3v32cdgb);
here->BSIM3v32cbgb = -(here->BSIM3v32cggb
- Two_Third_CoxWL * dVgs_eff_dVg);
T3 = -(T2 + Two_Third_CoxWL * dVth_dVb);
here->BSIM3v32cbsb = -(here->BSIM3v32cbgb + T3);
here->BSIM3v32cbdb = 0.0;
here->BSIM3v32qinv = -(qgate + qbulk);
}
else
{ /* linear region */
Alphaz = Vgst / Vdsat;
T1 = 2.0 * Vdsat - Vds;
T2 = Vds / (3.0 * T1);
T3 = T2 * Vds;
T9 = 0.25 * CoxWL;
T4 = T9 * Alphaz;
qgate = CoxWL * (Vgs_eff - Vfb - pParam->BSIM3v32phi
- 0.5 * (Vds - T3));
T5 = T3 / T1;
here->BSIM3v32cggb = CoxWL * (1.0 - T5 * dVdsat_dVg)
* dVgs_eff_dVg;
tmp = -CoxWL * T5 * dVdsat_dVb;
here->BSIM3v32cgdb = CoxWL * (T2 - 0.5 + 0.5 * T5);
here->BSIM3v32cgsb = -(here->BSIM3v32cggb
+ here->BSIM3v32cgdb + tmp);
T6 = 1.0 / Vdsat;
dAlphaz_dVg = T6 * (1.0 - Alphaz * dVdsat_dVg);
dAlphaz_dVb = -T6 * (dVth_dVb + Alphaz * dVdsat_dVb);
T6 = 8.0 * Vdsat * Vdsat - 6.0 * Vdsat * Vds
+ 1.2 * Vds * Vds;
T8 = T2 / T1;
T7 = Vds - T1 - T8 * T6;
qdrn = T4 * T7;
T7 *= T9;
tmp = T8 / T1;
tmp1 = T4 * (2.0 - 4.0 * tmp * T6
+ T8 * (16.0 * Vdsat - 6.0 * Vds));
here->BSIM3v32cdgb = (T7 * dAlphaz_dVg - tmp1
* dVdsat_dVg) * dVgs_eff_dVg;
T10 = T7 * dAlphaz_dVb - tmp1 * dVdsat_dVb;
here->BSIM3v32cddb = T4 * (2.0 - (1.0 / (3.0 * T1
* T1) + 2.0 * tmp) * T6 + T8
* (6.0 * Vdsat - 2.4 * Vds));
here->BSIM3v32cdsb = -(here->BSIM3v32cdgb
+ T10 + here->BSIM3v32cddb);
T7 = 2.0 * (T1 + T3);
qbulk = -(qgate - T4 * T7);
T7 *= T9;
T0 = 4.0 * T4 * (1.0 - T5);
T12 = (-T7 * dAlphaz_dVg - here->BSIM3v32cdgb
- T0 * dVdsat_dVg) * dVgs_eff_dVg;
T11 = -T7 * dAlphaz_dVb - T10 - T0 * dVdsat_dVb;
T10 = -4.0 * T4 * (T2 - 0.5 + 0.5 * T5)
- here->BSIM3v32cddb;
tmp = -(T10 + T11 + T12);
here->BSIM3v32cbgb = -(here->BSIM3v32cggb
+ here->BSIM3v32cdgb + T12);
here->BSIM3v32cbdb = -(here->BSIM3v32cgdb
+ here->BSIM3v32cddb + T10); /* bug fix */
here->BSIM3v32cbsb = -(here->BSIM3v32cgsb
+ here->BSIM3v32cdsb + tmp);
here->BSIM3v32qinv = -(qgate + qbulk);
}
}
else
{ /* 50/50 partitioning */
if (Vds >= Vdsat)
{ /* saturation region */
T1 = Vdsat / 3.0;
qgate = CoxWL * (Vgs_eff - Vfb
- pParam->BSIM3v32phi - T1);
T2 = -Two_Third_CoxWL * Vgst;
qbulk = -(qgate + T2);
qdrn = 0.5 * T2;
here->BSIM3v32cggb = One_Third_CoxWL * (3.0
- dVdsat_dVg) * dVgs_eff_dVg;
T2 = -One_Third_CoxWL * dVdsat_dVb;
here->BSIM3v32cgsb = -(here->BSIM3v32cggb + T2);
here->BSIM3v32cgdb = 0.0;
here->BSIM3v32cdgb = -One_Third_CoxWL * dVgs_eff_dVg;
here->BSIM3v32cddb = 0.0;
T4 = One_Third_CoxWL * dVth_dVb;
here->BSIM3v32cdsb = -(T4 + here->BSIM3v32cdgb);
here->BSIM3v32cbgb = -(here->BSIM3v32cggb
- Two_Third_CoxWL * dVgs_eff_dVg);
T3 = -(T2 + Two_Third_CoxWL * dVth_dVb);
here->BSIM3v32cbsb = -(here->BSIM3v32cbgb + T3);
here->BSIM3v32cbdb = 0.0;
here->BSIM3v32qinv = -(qgate + qbulk);
}
else
{ /* linear region */
Alphaz = Vgst / Vdsat;
T1 = 2.0 * Vdsat - Vds;
T2 = Vds / (3.0 * T1);
T3 = T2 * Vds;
T9 = 0.25 * CoxWL;
T4 = T9 * Alphaz;
qgate = CoxWL * (Vgs_eff - Vfb - pParam->BSIM3v32phi
- 0.5 * (Vds - T3));
T5 = T3 / T1;
here->BSIM3v32cggb = CoxWL * (1.0 - T5 * dVdsat_dVg)
* dVgs_eff_dVg;
tmp = -CoxWL * T5 * dVdsat_dVb;
here->BSIM3v32cgdb = CoxWL * (T2 - 0.5 + 0.5 * T5);
here->BSIM3v32cgsb = -(here->BSIM3v32cggb
+ here->BSIM3v32cgdb + tmp);
T6 = 1.0 / Vdsat;
dAlphaz_dVg = T6 * (1.0 - Alphaz * dVdsat_dVg);
dAlphaz_dVb = -T6 * (dVth_dVb + Alphaz * dVdsat_dVb);
T7 = T1 + T3;
qdrn = -T4 * T7;
qbulk = - (qgate + qdrn + qdrn);
T7 *= T9;
T0 = T4 * (2.0 * T5 - 2.0);
here->BSIM3v32cdgb = (T0 * dVdsat_dVg - T7
* dAlphaz_dVg) * dVgs_eff_dVg;
T12 = T0 * dVdsat_dVb - T7 * dAlphaz_dVb;
here->BSIM3v32cddb = T4 * (1.0 - 2.0 * T2 - T5);
here->BSIM3v32cdsb = -(here->BSIM3v32cdgb + T12
+ here->BSIM3v32cddb);
here->BSIM3v32cbgb = -(here->BSIM3v32cggb
+ 2.0 * here->BSIM3v32cdgb);
here->BSIM3v32cbdb = -(here->BSIM3v32cgdb
+ 2.0 * here->BSIM3v32cddb);
here->BSIM3v32cbsb = -(here->BSIM3v32cgsb
+ 2.0 * here->BSIM3v32cdsb);
here->BSIM3v32qinv = -(qgate + qbulk);
}
}
}
}
else
{ if (Vbseff < 0.0)
{ VbseffCV = Vbseff;
dVbseffCV_dVb = 1.0;
}
else
{ VbseffCV = pParam->BSIM3v32phi - Phis;
dVbseffCV_dVb = -dPhis_dVb;
}
CoxWL = model->BSIM3v32cox * pParam->BSIM3v32weffCV
* pParam->BSIM3v32leffCV;
/* Seperate VgsteffCV with noff and voffcv */
noff = n * pParam->BSIM3v32noff;
dnoff_dVd = pParam->BSIM3v32noff * dn_dVd;
dnoff_dVb = pParam->BSIM3v32noff * dn_dVb;
T0 = Vtm * noff;
voffcv = pParam->BSIM3v32voffcv;
VgstNVt = (Vgst - voffcv) / T0;
if (VgstNVt > EXP_THRESHOLD)
{ Vgsteff = Vgst - voffcv;
dVgsteff_dVg = dVgs_eff_dVg;
dVgsteff_dVd = -dVth_dVd;
dVgsteff_dVb = -dVth_dVb;
}
else if (VgstNVt < -EXP_THRESHOLD)
{ Vgsteff = T0 * log(1.0 + MIN_EXP);
dVgsteff_dVg = 0.0;
dVgsteff_dVd = Vgsteff / noff;
dVgsteff_dVb = dVgsteff_dVd * dnoff_dVb;
dVgsteff_dVd *= dnoff_dVd;
}
else
{ ExpVgst = exp(VgstNVt);
Vgsteff = T0 * log(1.0 + ExpVgst);
dVgsteff_dVg = ExpVgst / (1.0 + ExpVgst);
dVgsteff_dVd = -dVgsteff_dVg * (dVth_dVd + (Vgst - voffcv)
/ noff * dnoff_dVd) + Vgsteff / noff * dnoff_dVd;
dVgsteff_dVb = -dVgsteff_dVg * (dVth_dVb + (Vgst - voffcv)
/ noff * dnoff_dVb) + Vgsteff / noff * dnoff_dVb;
dVgsteff_dVg *= dVgs_eff_dVg;
} /* End of VgsteffCV */
if (model->BSIM3v32capMod == 1)
{
/* Added revision dependent code */
switch (model->BSIM3v32intVersion) {
case BSIM3v32V324:
case BSIM3v32V323:
case BSIM3v32V322:
Vfb = here->BSIM3v32vfbzb;
break;
case BSIM3v32V32:
Vfb = here->BSIM3v32vfbzb;
dVfb_dVb = dVfb_dVd = 0.0;
break;
default:
Vfb = Vth - pParam->BSIM3v32phi - pParam->BSIM3v32k1ox * sqrtPhis;
dVfb_dVb = dVth_dVb - pParam->BSIM3v32k1ox * dsqrtPhis_dVb;
dVfb_dVd = dVth_dVd;
}
Arg1 = Vgs_eff - VbseffCV - Vfb - Vgsteff;
if (Arg1 <= 0.0)
{ qgate = CoxWL * Arg1;
Cgg = CoxWL * (dVgs_eff_dVg - dVgsteff_dVg);
/* Added revision dependent code */
switch (model->BSIM3v32intVersion) {
case BSIM3v32V324:
case BSIM3v32V323:
case BSIM3v32V322:
Cgd = -CoxWL * dVgsteff_dVd;
Cgb = -CoxWL * (dVbseffCV_dVb + dVgsteff_dVb);
break;
case BSIM3v32V32:
default:
Cgd = -CoxWL * (dVfb_dVd + dVgsteff_dVd);
Cgb = -CoxWL * (dVfb_dVb + dVbseffCV_dVb + dVgsteff_dVb);
}
}
else
{ T0 = 0.5 * pParam->BSIM3v32k1ox;
T1 = sqrt(T0 * T0 + Arg1);
T2 = CoxWL * T0 / T1;
qgate = CoxWL * pParam->BSIM3v32k1ox * (T1 - T0);
Cgg = T2 * (dVgs_eff_dVg - dVgsteff_dVg);
/* Added revision dependent code */
switch (model->BSIM3v32intVersion) {
case BSIM3v32V324:
case BSIM3v32V323:
case BSIM3v32V322:
Cgd = -T2 * dVgsteff_dVd;
Cgb = -T2 * (dVbseffCV_dVb + dVgsteff_dVb);
break;
case BSIM3v32V32:
default:
Cgd = -T2 * (dVfb_dVd + dVgsteff_dVd);
Cgb = -T2 * (dVfb_dVb + dVbseffCV_dVb + dVgsteff_dVb);
}
}
qbulk = -qgate;
Cbg = -Cgg;
Cbd = -Cgd;
Cbb = -Cgb;
One_Third_CoxWL = CoxWL / 3.0;
Two_Third_CoxWL = 2.0 * One_Third_CoxWL;
AbulkCV = Abulk0 * pParam->BSIM3v32abulkCVfactor;
dAbulkCV_dVb = pParam->BSIM3v32abulkCVfactor * dAbulk0_dVb;
VdsatCV = Vgsteff / AbulkCV;
if (VdsatCV < Vds)
{ dVdsatCV_dVg = 1.0 / AbulkCV;
dVdsatCV_dVb = -VdsatCV * dAbulkCV_dVb / AbulkCV;
T0 = Vgsteff - VdsatCV / 3.0;
dT0_dVg = 1.0 - dVdsatCV_dVg / 3.0;
dT0_dVb = -dVdsatCV_dVb / 3.0;
qgate += CoxWL * T0;
Cgg1 = CoxWL * dT0_dVg;
Cgb1 = CoxWL * dT0_dVb + Cgg1 * dVgsteff_dVb;
Cgd1 = Cgg1 * dVgsteff_dVd;
Cgg1 *= dVgsteff_dVg;
Cgg += Cgg1;
Cgb += Cgb1;
Cgd += Cgd1;
T0 = VdsatCV - Vgsteff;
dT0_dVg = dVdsatCV_dVg - 1.0;
dT0_dVb = dVdsatCV_dVb;
qbulk += One_Third_CoxWL * T0;
Cbg1 = One_Third_CoxWL * dT0_dVg;
Cbb1 = One_Third_CoxWL * dT0_dVb + Cbg1 * dVgsteff_dVb;
Cbd1 = Cbg1 * dVgsteff_dVd;
Cbg1 *= dVgsteff_dVg;
Cbg += Cbg1;
Cbb += Cbb1;
Cbd += Cbd1;
if (model->BSIM3v32xpart > 0.5)
T0 = -Two_Third_CoxWL;
else if (model->BSIM3v32xpart < 0.5)
T0 = -0.4 * CoxWL;
else
T0 = -One_Third_CoxWL;
qsrc = T0 * Vgsteff;
Csg = T0 * dVgsteff_dVg;
Csb = T0 * dVgsteff_dVb;
Csd = T0 * dVgsteff_dVd;
Cgb *= dVbseff_dVb;
Cbb *= dVbseff_dVb;
Csb *= dVbseff_dVb;
}
else
{ T0 = AbulkCV * Vds;
T1 = 12.0 * (Vgsteff - 0.5 * T0 + 1.e-20);
T2 = Vds / T1;
T3 = T0 * T2;
dT3_dVg = -12.0 * T2 * T2 * AbulkCV;
dT3_dVd = 6.0 * T0 * (4.0 * Vgsteff - T0) / T1 / T1 - 0.5;
dT3_dVb = 12.0 * T2 * T2 * dAbulkCV_dVb * Vgsteff;
qgate += CoxWL * (Vgsteff - 0.5 * Vds + T3);
Cgg1 = CoxWL * (1.0 + dT3_dVg);
Cgb1 = CoxWL * dT3_dVb + Cgg1 * dVgsteff_dVb;
Cgd1 = CoxWL * dT3_dVd + Cgg1 * dVgsteff_dVd;
Cgg1 *= dVgsteff_dVg;
Cgg += Cgg1;
Cgb += Cgb1;
Cgd += Cgd1;
qbulk += CoxWL * (1.0 - AbulkCV) * (0.5 * Vds - T3);
Cbg1 = -CoxWL * ((1.0 - AbulkCV) * dT3_dVg);
Cbb1 = -CoxWL * ((1.0 - AbulkCV) * dT3_dVb
+ (0.5 * Vds - T3) * dAbulkCV_dVb)
+ Cbg1 * dVgsteff_dVb;
Cbd1 = -CoxWL * (1.0 - AbulkCV) * dT3_dVd
+ Cbg1 * dVgsteff_dVd;
Cbg1 *= dVgsteff_dVg;
Cbg += Cbg1;
Cbb += Cbb1;
Cbd += Cbd1;
if (model->BSIM3v32xpart > 0.5)
{ /* 0/100 Charge petition model */
T1 = T1 + T1;
qsrc = -CoxWL * (0.5 * Vgsteff + 0.25 * T0
- T0 * T0 / T1);
Csg = -CoxWL * (0.5 + 24.0 * T0 * Vds / T1 / T1
* AbulkCV);
Csb = -CoxWL * (0.25 * Vds * dAbulkCV_dVb
- 12.0 * T0 * Vds / T1 / T1 * (4.0 * Vgsteff - T0)
* dAbulkCV_dVb) + Csg * dVgsteff_dVb;
Csd = -CoxWL * (0.25 * AbulkCV - 12.0 * AbulkCV * T0
/ T1 / T1 * (4.0 * Vgsteff - T0))
+ Csg * dVgsteff_dVd;
Csg *= dVgsteff_dVg;
}
else if (model->BSIM3v32xpart < 0.5)
{ /* 40/60 Charge petition model */
T1 = T1 / 12.0;
T2 = 0.5 * CoxWL / (T1 * T1);
T3 = Vgsteff * (2.0 * T0 * T0 / 3.0 + Vgsteff
* (Vgsteff - 4.0 * T0 / 3.0))
- 2.0 * T0 * T0 * T0 / 15.0;
qsrc = -T2 * T3;
T4 = 4.0 / 3.0 * Vgsteff * (Vgsteff - T0)
+ 0.4 * T0 * T0;
Csg = -2.0 * qsrc / T1 - T2 * (Vgsteff * (3.0
* Vgsteff - 8.0 * T0 / 3.0)
+ 2.0 * T0 * T0 / 3.0);
Csb = (qsrc / T1 * Vds + T2 * T4 * Vds) * dAbulkCV_dVb
+ Csg * dVgsteff_dVb;
Csd = (qsrc / T1 + T2 * T4) * AbulkCV
+ Csg * dVgsteff_dVd;
Csg *= dVgsteff_dVg;
}
else
{ /* 50/50 Charge petition model */
qsrc = -0.5 * (qgate + qbulk);
Csg = -0.5 * (Cgg1 + Cbg1);
Csb = -0.5 * (Cgb1 + Cbb1);
Csd = -0.5 * (Cgd1 + Cbd1);
}
Cgb *= dVbseff_dVb;
Cbb *= dVbseff_dVb;
Csb *= dVbseff_dVb;
}
qdrn = -(qgate + qbulk + qsrc);
here->BSIM3v32cggb = Cgg;
here->BSIM3v32cgsb = -(Cgg + Cgd + Cgb);
here->BSIM3v32cgdb = Cgd;
here->BSIM3v32cdgb = -(Cgg + Cbg + Csg);
here->BSIM3v32cdsb = (Cgg + Cgd + Cgb + Cbg + Cbd + Cbb
+ Csg + Csd + Csb);
here->BSIM3v32cddb = -(Cgd + Cbd + Csd);
here->BSIM3v32cbgb = Cbg;
here->BSIM3v32cbsb = -(Cbg + Cbd + Cbb);
here->BSIM3v32cbdb = Cbd;
here->BSIM3v32qinv = -(qgate + qbulk);
}
else if (model->BSIM3v32capMod == 2)
{
/* Added revision dependent code */
switch (model->BSIM3v32intVersion) {
case BSIM3v32V324:
case BSIM3v32V323:
case BSIM3v32V322:
Vfb = here->BSIM3v32vfbzb;
break;
case BSIM3v32V32:
Vfb = here->BSIM3v32vfbzb;
dVfb_dVb = dVfb_dVd = 0.0;
break;
default: /* old code prior to v3.2 */
Vfb = Vth - pParam->BSIM3v32phi - pParam->BSIM3v32k1ox * sqrtPhis;
dVfb_dVb = dVth_dVb - pParam->BSIM3v32k1ox * dsqrtPhis_dVb;
dVfb_dVd = dVth_dVd;
}
V3 = Vfb - Vgs_eff + VbseffCV - DELTA_3;
if (Vfb <= 0.0)
{ T0 = sqrt(V3 * V3 - 4.0 * DELTA_3 * Vfb);
T2 = -DELTA_3 / T0;
}
else
{ T0 = sqrt(V3 * V3 + 4.0 * DELTA_3 * Vfb);
T2 = DELTA_3 / T0;
}
T1 = 0.5 * (1.0 + V3 / T0);
Vfbeff = Vfb - 0.5 * (V3 + T0);
/* Added revision dependent code */
switch (model->BSIM3v32intVersion) {
case BSIM3v32V324:
case BSIM3v32V323:
case BSIM3v32V322:
/* Do nothing */
break;
case BSIM3v32V32:
default:
dVfbeff_dVd = (1.0 - T1 - T2) * dVfb_dVd;
}
dVfbeff_dVg = T1 * dVgs_eff_dVg;
/* Added revision dependent code */
switch (model->BSIM3v32intVersion) {
case BSIM3v32V324:
case BSIM3v32V323:
case BSIM3v32V322:
dVfbeff_dVb = -T1 * dVbseffCV_dVb;
break;
case BSIM3v32V32:
default:
dVfbeff_dVb = (1.0 - T1 - T2) * dVfb_dVb - T1 * dVbseffCV_dVb;
}
Qac0 = CoxWL * (Vfbeff - Vfb);
dQac0_dVg = CoxWL * dVfbeff_dVg;
/* Added revision dependent code */
switch (model->BSIM3v32intVersion) {
case BSIM3v32V324:
case BSIM3v32V323:
case BSIM3v32V322:
/* Do nothing */
break;
case BSIM3v32V32:
default:
dQac0_dVd = CoxWL * (dVfbeff_dVd - dVfb_dVd);
}
/* Added revision dependent code */
switch (model->BSIM3v32intVersion) {
case BSIM3v32V324:
case BSIM3v32V323:
case BSIM3v32V322:
dQac0_dVb = CoxWL * dVfbeff_dVb;
break;
case BSIM3v32V32:
default:
dQac0_dVb = CoxWL * (dVfbeff_dVb - dVfb_dVb);
}
T0 = 0.5 * pParam->BSIM3v32k1ox;
T3 = Vgs_eff - Vfbeff - VbseffCV - Vgsteff;
if (pParam->BSIM3v32k1ox == 0.0)
{ T1 = 0.0;
T2 = 0.0;
}
else if (T3 < 0.0)
{ T1 = T0 + T3 / pParam->BSIM3v32k1ox;
T2 = CoxWL;
}
else
{ T1 = sqrt(T0 * T0 + T3);
T2 = CoxWL * T0 / T1;
}
Qsub0 = CoxWL * pParam->BSIM3v32k1ox * (T1 - T0);
dQsub0_dVg = T2 * (dVgs_eff_dVg - dVfbeff_dVg - dVgsteff_dVg);
/* Added revision dependent code */
switch (model->BSIM3v32intVersion) {
case BSIM3v32V324:
case BSIM3v32V323:
case BSIM3v32V322:
dQsub0_dVd = -T2 * dVgsteff_dVd;
break;
case BSIM3v32V32:
default:
dQsub0_dVd = -T2 * (dVfbeff_dVd + dVgsteff_dVd);
}
dQsub0_dVb = -T2 * (dVfbeff_dVb + dVbseffCV_dVb
+ dVgsteff_dVb);
AbulkCV = Abulk0 * pParam->BSIM3v32abulkCVfactor;
dAbulkCV_dVb = pParam->BSIM3v32abulkCVfactor * dAbulk0_dVb;
VdsatCV = Vgsteff / AbulkCV;
V4 = VdsatCV - Vds - DELTA_4;
T0 = sqrt(V4 * V4 + 4.0 * DELTA_4 * VdsatCV);
VdseffCV = VdsatCV - 0.5 * (V4 + T0);
T1 = 0.5 * (1.0 + V4 / T0);
T2 = DELTA_4 / T0;
T3 = (1.0 - T1 - T2) / AbulkCV;
dVdseffCV_dVg = T3;
dVdseffCV_dVd = T1;
dVdseffCV_dVb = -T3 * VdsatCV * dAbulkCV_dVb;
/* Added revision dependent code */
switch (model->BSIM3v32intVersion) {
case BSIM3v32V324:
case BSIM3v32V323:
case BSIM3v32V322:
/* Added to eliminate non-zero VdseffCV at Vds=0.0 */
if (Vds == 0.0)
{
VdseffCV = 0.0;
dVdseffCV_dVg = 0.0;
dVdseffCV_dVb = 0.0;
}
break;
case BSIM3v32V32:
default:
/* Do nothing */
break;
}
T0 = AbulkCV * VdseffCV;
T1 = 12.0 * (Vgsteff - 0.5 * T0 + 1e-20);
T2 = VdseffCV / T1;
T3 = T0 * T2;
T4 = (1.0 - 12.0 * T2 * T2 * AbulkCV);
T5 = (6.0 * T0 * (4.0 * Vgsteff - T0) / (T1 * T1) - 0.5);
T6 = 12.0 * T2 * T2 * Vgsteff;
qinoi = -CoxWL * (Vgsteff - 0.5 * T0 + AbulkCV * T3);
qgate = CoxWL * (Vgsteff - 0.5 * VdseffCV + T3);
Cgg1 = CoxWL * (T4 + T5 * dVdseffCV_dVg);
Cgd1 = CoxWL * T5 * dVdseffCV_dVd + Cgg1 * dVgsteff_dVd;
Cgb1 = CoxWL * (T5 * dVdseffCV_dVb + T6 * dAbulkCV_dVb)
+ Cgg1 * dVgsteff_dVb;
Cgg1 *= dVgsteff_dVg;
T7 = 1.0 - AbulkCV;
qbulk = CoxWL * T7 * (0.5 * VdseffCV - T3);
T4 = -T7 * (T4 - 1.0);
T5 = -T7 * T5;
T6 = -(T7 * T6 + (0.5 * VdseffCV - T3));
Cbg1 = CoxWL * (T4 + T5 * dVdseffCV_dVg);
Cbd1 = CoxWL * T5 * dVdseffCV_dVd + Cbg1 * dVgsteff_dVd;
Cbb1 = CoxWL * (T5 * dVdseffCV_dVb + T6 * dAbulkCV_dVb)
+ Cbg1 * dVgsteff_dVb;
Cbg1 *= dVgsteff_dVg;
if (model->BSIM3v32xpart > 0.5)
{ /* 0/100 Charge petition model */
T1 = T1 + T1;
qsrc = -CoxWL * (0.5 * Vgsteff + 0.25 * T0
- T0 * T0 / T1);
T7 = (4.0 * Vgsteff - T0) / (T1 * T1);
T4 = -(0.5 + 24.0 * T0 * T0 / (T1 * T1));
T5 = -(0.25 * AbulkCV - 12.0 * AbulkCV * T0 * T7);
T6 = -(0.25 * VdseffCV - 12.0 * T0 * VdseffCV * T7);
Csg = CoxWL * (T4 + T5 * dVdseffCV_dVg);
Csd = CoxWL * T5 * dVdseffCV_dVd + Csg * dVgsteff_dVd;
Csb = CoxWL * (T5 * dVdseffCV_dVb + T6 * dAbulkCV_dVb)
+ Csg * dVgsteff_dVb;
Csg *= dVgsteff_dVg;
}
else if (model->BSIM3v32xpart < 0.5)
{ /* 40/60 Charge petition model */
T1 = T1 / 12.0;
T2 = 0.5 * CoxWL / (T1 * T1);
T3 = Vgsteff * (2.0 * T0 * T0 / 3.0 + Vgsteff
* (Vgsteff - 4.0 * T0 / 3.0))
- 2.0 * T0 * T0 * T0 / 15.0;
qsrc = -T2 * T3;
T7 = 4.0 / 3.0 * Vgsteff * (Vgsteff - T0)
+ 0.4 * T0 * T0;
T4 = -2.0 * qsrc / T1 - T2 * (Vgsteff * (3.0
* Vgsteff - 8.0 * T0 / 3.0)
+ 2.0 * T0 * T0 / 3.0);
T5 = (qsrc / T1 + T2 * T7) * AbulkCV;
T6 = (qsrc / T1 * VdseffCV + T2 * T7 * VdseffCV);
Csg = (T4 + T5 * dVdseffCV_dVg);
Csd = T5 * dVdseffCV_dVd + Csg * dVgsteff_dVd;
Csb = (T5 * dVdseffCV_dVb + T6 * dAbulkCV_dVb)
+ Csg * dVgsteff_dVb;
Csg *= dVgsteff_dVg;
}
else
{ /* 50/50 Charge petition model */
qsrc = -0.5 * (qgate + qbulk);
Csg = -0.5 * (Cgg1 + Cbg1);
Csb = -0.5 * (Cgb1 + Cbb1);
Csd = -0.5 * (Cgd1 + Cbd1);
}
qgate += Qac0 + Qsub0;
qbulk -= (Qac0 + Qsub0);
qdrn = -(qgate + qbulk + qsrc);
Cgg = dQac0_dVg + dQsub0_dVg + Cgg1;
/* Added revision dependent code */
switch (model->BSIM3v32intVersion) {
case BSIM3v32V324:
case BSIM3v32V323:
case BSIM3v32V322:
Cgd = dQsub0_dVd + Cgd1;
break;
case BSIM3v32V32:
default:
Cgd = dQac0_dVd + dQsub0_dVd + Cgd1;
}
Cgb = dQac0_dVb + dQsub0_dVb + Cgb1;
Cbg = Cbg1 - dQac0_dVg - dQsub0_dVg;
/* Added revision dependent code */
switch (model->BSIM3v32intVersion) {
case BSIM3v32V324:
case BSIM3v32V323:
case BSIM3v32V322:
Cbd = Cbd1 - dQsub0_dVd;
break;
case BSIM3v32V32:
default:
Cbd = Cbd1 - dQac0_dVd - dQsub0_dVd;
}
Cbb = Cbb1 - dQac0_dVb - dQsub0_dVb;
Cgb *= dVbseff_dVb;
Cbb *= dVbseff_dVb;
Csb *= dVbseff_dVb;
here->BSIM3v32cggb = Cgg;
here->BSIM3v32cgsb = -(Cgg + Cgd + Cgb);
here->BSIM3v32cgdb = Cgd;
here->BSIM3v32cdgb = -(Cgg + Cbg + Csg);
here->BSIM3v32cdsb = (Cgg + Cgd + Cgb + Cbg + Cbd + Cbb
+ Csg + Csd + Csb);
here->BSIM3v32cddb = -(Cgd + Cbd + Csd);
here->BSIM3v32cbgb = Cbg;
here->BSIM3v32cbsb = -(Cbg + Cbd + Cbb);
here->BSIM3v32cbdb = Cbd;
here->BSIM3v32qinv = qinoi;
}
/* New Charge-Thickness capMod (CTM) begins */
else if (model->BSIM3v32capMod == 3)
{ V3 = here->BSIM3v32vfbzb - Vgs_eff + VbseffCV - DELTA_3;
if (here->BSIM3v32vfbzb <= 0.0)
{ T0 = sqrt(V3 * V3 - 4.0 * DELTA_3 * here->BSIM3v32vfbzb);
T2 = -DELTA_3 / T0;
}
else
{ T0 = sqrt(V3 * V3 + 4.0 * DELTA_3 * here->BSIM3v32vfbzb);
T2 = DELTA_3 / T0;
}
T1 = 0.5 * (1.0 + V3 / T0);
Vfbeff = here->BSIM3v32vfbzb - 0.5 * (V3 + T0);
dVfbeff_dVg = T1 * dVgs_eff_dVg;
dVfbeff_dVb = -T1 * dVbseffCV_dVb;
Cox = model->BSIM3v32cox;
Tox = 1.0e8 * model->BSIM3v32tox;
T0 = (Vgs_eff - VbseffCV - here->BSIM3v32vfbzb) / Tox;
dT0_dVg = dVgs_eff_dVg / Tox;
dT0_dVb = -dVbseffCV_dVb / Tox;
tmp = T0 * pParam->BSIM3v32acde;
if ((-EXP_THRESHOLD < tmp) && (tmp < EXP_THRESHOLD))
{ Tcen = pParam->BSIM3v32ldeb * exp(tmp);
dTcen_dVg = pParam->BSIM3v32acde * Tcen;
dTcen_dVb = dTcen_dVg * dT0_dVb;
dTcen_dVg *= dT0_dVg;
}
else if (tmp <= -EXP_THRESHOLD)
{ Tcen = pParam->BSIM3v32ldeb * MIN_EXP;
dTcen_dVg = dTcen_dVb = 0.0;
}
else
{ Tcen = pParam->BSIM3v32ldeb * MAX_EXP;
dTcen_dVg = dTcen_dVb = 0.0;
}
LINK = 1.0e-3 * model->BSIM3v32tox;
V3 = pParam->BSIM3v32ldeb - Tcen - LINK;
V4 = sqrt(V3 * V3 + 4.0 * LINK * pParam->BSIM3v32ldeb);
Tcen = pParam->BSIM3v32ldeb - 0.5 * (V3 + V4);
T1 = 0.5 * (1.0 + V3 / V4);
dTcen_dVg *= T1;
dTcen_dVb *= T1;
Ccen = EPSSI / Tcen;
T2 = Cox / (Cox + Ccen);
Coxeff = T2 * Ccen;
T3 = -Ccen / Tcen;
dCoxeff_dVg = T2 * T2 * T3;
dCoxeff_dVb = dCoxeff_dVg * dTcen_dVb;
dCoxeff_dVg *= dTcen_dVg;
CoxWLcen = CoxWL * Coxeff / Cox;
Qac0 = CoxWLcen * (Vfbeff - here->BSIM3v32vfbzb);
QovCox = Qac0 / Coxeff;
dQac0_dVg = CoxWLcen * dVfbeff_dVg
+ QovCox * dCoxeff_dVg;
dQac0_dVb = CoxWLcen * dVfbeff_dVb
+ QovCox * dCoxeff_dVb;
T0 = 0.5 * pParam->BSIM3v32k1ox;
T3 = Vgs_eff - Vfbeff - VbseffCV - Vgsteff;
if (pParam->BSIM3v32k1ox == 0.0)
{ T1 = 0.0;
T2 = 0.0;
}
else if (T3 < 0.0)
{ T1 = T0 + T3 / pParam->BSIM3v32k1ox;
T2 = CoxWLcen;
}
else
{ T1 = sqrt(T0 * T0 + T3);
T2 = CoxWLcen * T0 / T1;
}
Qsub0 = CoxWLcen * pParam->BSIM3v32k1ox * (T1 - T0);
QovCox = Qsub0 / Coxeff;
dQsub0_dVg = T2 * (dVgs_eff_dVg - dVfbeff_dVg - dVgsteff_dVg)
+ QovCox * dCoxeff_dVg;
dQsub0_dVd = -T2 * dVgsteff_dVd;
dQsub0_dVb = -T2 * (dVfbeff_dVb + dVbseffCV_dVb + dVgsteff_dVb)
+ QovCox * dCoxeff_dVb;
/* Gate-bias dependent delta Phis begins */
if (pParam->BSIM3v32k1ox <= 0.0)
{ Denomi = 0.25 * pParam->BSIM3v32moin * Vtm;
T0 = 0.5 * pParam->BSIM3v32sqrtPhi;
}
else
{ Denomi = pParam->BSIM3v32moin * Vtm
* pParam->BSIM3v32k1ox * pParam->BSIM3v32k1ox;
T0 = pParam->BSIM3v32k1ox * pParam->BSIM3v32sqrtPhi;
}
T1 = 2.0 * T0 + Vgsteff;
DeltaPhi = Vtm * log(1.0 + T1 * Vgsteff / Denomi);
dDeltaPhi_dVg = 2.0 * Vtm * (T1 -T0) / (Denomi + T1 * Vgsteff);
dDeltaPhi_dVd = dDeltaPhi_dVg * dVgsteff_dVd;
dDeltaPhi_dVb = dDeltaPhi_dVg * dVgsteff_dVb;
/* End of delta Phis */
T3 = 4.0 * (Vth - here->BSIM3v32vfbzb - pParam->BSIM3v32phi);
Tox += Tox;
if (T3 >= 0.0)
{
/* Added revision dependent code */
switch (model->BSIM3v32intVersion) {
case BSIM3v32V324:
case BSIM3v32V323:
case BSIM3v32V322:
T0 = (Vgsteff + T3) / Tox;
dT0_dVd = (dVgsteff_dVd + 4.0 * dVth_dVd) / Tox;
dT0_dVb = (dVgsteff_dVb + 4.0 * dVth_dVb) / Tox;
break;
case BSIM3v32V32:
default:
T0 = (Vgsteff + T3) / Tox;
}
}
else
{
/* Added revision dependent code */
switch (model->BSIM3v32intVersion) {
case BSIM3v32V324:
case BSIM3v32V323:
case BSIM3v32V322:
T0 = (Vgsteff + 1.0e-20) / Tox;
dT0_dVd = dVgsteff_dVd / Tox;
dT0_dVb = dVgsteff_dVb / Tox;
break;
case BSIM3v32V32:
default:
T0 = (Vgsteff + 1.0e-20) / Tox;
}
}
tmp = exp(0.7 * log(T0));
T1 = 1.0 + tmp;
T2 = 0.7 * tmp / (T0 * Tox);
Tcen = 1.9e-9 / T1;
dTcen_dVg = -1.9e-9 * T2 / T1 /T1;
/* Added revision dependent code */
switch (model->BSIM3v32intVersion) {
case BSIM3v32V324:
case BSIM3v32V323:
case BSIM3v32V322:
dTcen_dVd = Tox * dTcen_dVg;
dTcen_dVb = dTcen_dVd * dT0_dVb;
dTcen_dVd *= dT0_dVd;
break;
case BSIM3v32V32:
default:
dTcen_dVd = dTcen_dVg * (4.0 * dVth_dVd + dVgsteff_dVd);
dTcen_dVb = dTcen_dVg * (4.0 * dVth_dVb + dVgsteff_dVb);
}
dTcen_dVg *= dVgsteff_dVg;
Ccen = EPSSI / Tcen;
T0 = Cox / (Cox + Ccen);
Coxeff = T0 * Ccen;
T1 = -Ccen / Tcen;
dCoxeff_dVg = T0 * T0 * T1;
dCoxeff_dVd = dCoxeff_dVg * dTcen_dVd;
dCoxeff_dVb = dCoxeff_dVg * dTcen_dVb;
dCoxeff_dVg *= dTcen_dVg;
CoxWLcen = CoxWL * Coxeff / Cox;
AbulkCV = Abulk0 * pParam->BSIM3v32abulkCVfactor;
dAbulkCV_dVb = pParam->BSIM3v32abulkCVfactor * dAbulk0_dVb;
VdsatCV = (Vgsteff - DeltaPhi) / AbulkCV;
V4 = VdsatCV - Vds - DELTA_4;
T0 = sqrt(V4 * V4 + 4.0 * DELTA_4 * VdsatCV);
VdseffCV = VdsatCV - 0.5 * (V4 + T0);
T1 = 0.5 * (1.0 + V4 / T0);
T2 = DELTA_4 / T0;
T3 = (1.0 - T1 - T2) / AbulkCV;
T4 = T3 * ( 1.0 - dDeltaPhi_dVg);
dVdseffCV_dVg = T4;
dVdseffCV_dVd = T1;
dVdseffCV_dVb = -T3 * VdsatCV * dAbulkCV_dVb;
/* Added revision dependent code */
switch (model->BSIM3v32intVersion) {
case BSIM3v32V324:
case BSIM3v32V323:
case BSIM3v32V322:
/* Added to eliminate non-zero VdseffCV at Vds=0.0 */
if (Vds == 0.0)
{
VdseffCV = 0.0;
dVdseffCV_dVg = 0.0;
dVdseffCV_dVb = 0.0;
}
break;
case BSIM3v32V32:
default:
/* Do nothing */
break;
}
T0 = AbulkCV * VdseffCV;
T1 = Vgsteff - DeltaPhi;
T2 = 12.0 * (T1 - 0.5 * T0 + 1.0e-20);
T3 = T0 / T2;
T4 = 1.0 - 12.0 * T3 * T3;
T5 = AbulkCV * (6.0 * T0 * (4.0 * T1 - T0) / (T2 * T2) - 0.5);
T6 = T5 * VdseffCV / AbulkCV;
qgate = qinoi = CoxWLcen * (T1 - T0 * (0.5 - T3));
QovCox = qgate / Coxeff;
Cgg1 = CoxWLcen * (T4 * (1.0 - dDeltaPhi_dVg)
+ T5 * dVdseffCV_dVg);
Cgd1 = CoxWLcen * T5 * dVdseffCV_dVd + Cgg1
* dVgsteff_dVd + QovCox * dCoxeff_dVd;
Cgb1 = CoxWLcen * (T5 * dVdseffCV_dVb + T6 * dAbulkCV_dVb)
+ Cgg1 * dVgsteff_dVb + QovCox * dCoxeff_dVb;
Cgg1 = Cgg1 * dVgsteff_dVg + QovCox * dCoxeff_dVg;
T7 = 1.0 - AbulkCV;
T8 = T2 * T2;
T9 = 12.0 * T7 * T0 * T0 / (T8 * AbulkCV);
T10 = T9 * (1.0 - dDeltaPhi_dVg);
T11 = -T7 * T5 / AbulkCV;
T12 = -(T9 * T1 / AbulkCV + VdseffCV * (0.5 - T0 / T2));
qbulk = CoxWLcen * T7 * (0.5 * VdseffCV - T0 * VdseffCV / T2);
QovCox = qbulk / Coxeff;
Cbg1 = CoxWLcen * (T10 + T11 * dVdseffCV_dVg);
Cbd1 = CoxWLcen * T11 * dVdseffCV_dVd + Cbg1
* dVgsteff_dVd + QovCox * dCoxeff_dVd;
Cbb1 = CoxWLcen * (T11 * dVdseffCV_dVb + T12 * dAbulkCV_dVb)
+ Cbg1 * dVgsteff_dVb + QovCox * dCoxeff_dVb;
Cbg1 = Cbg1 * dVgsteff_dVg + QovCox * dCoxeff_dVg;
if (model->BSIM3v32xpart > 0.5)
{ /* 0/100 partition */
qsrc = -CoxWLcen * (T1 / 2.0 + T0 / 4.0
- 0.5 * T0 * T0 / T2);
QovCox = qsrc / Coxeff;
T2 += T2;
T3 = T2 * T2;
T7 = -(0.25 - 12.0 * T0 * (4.0 * T1 - T0) / T3);
T4 = -(0.5 + 24.0 * T0 * T0 / T3) * (1.0 - dDeltaPhi_dVg);
T5 = T7 * AbulkCV;
T6 = T7 * VdseffCV;
Csg = CoxWLcen * (T4 + T5 * dVdseffCV_dVg);
Csd = CoxWLcen * T5 * dVdseffCV_dVd + Csg * dVgsteff_dVd
+ QovCox * dCoxeff_dVd;
Csb = CoxWLcen * (T5 * dVdseffCV_dVb + T6 * dAbulkCV_dVb)
+ Csg * dVgsteff_dVb + QovCox * dCoxeff_dVb;
Csg = Csg * dVgsteff_dVg + QovCox * dCoxeff_dVg;
}
else if (model->BSIM3v32xpart < 0.5)
{ /* 40/60 partition */
T2 = T2 / 12.0;
T3 = 0.5 * CoxWLcen / (T2 * T2);
T4 = T1 * (2.0 * T0 * T0 / 3.0 + T1 * (T1 - 4.0
* T0 / 3.0)) - 2.0 * T0 * T0 * T0 / 15.0;
qsrc = -T3 * T4;
QovCox = qsrc / Coxeff;
T8 = 4.0 / 3.0 * T1 * (T1 - T0) + 0.4 * T0 * T0;
T5 = -2.0 * qsrc / T2 - T3 * (T1 * (3.0 * T1 - 8.0
* T0 / 3.0) + 2.0 * T0 * T0 / 3.0);
T6 = AbulkCV * (qsrc / T2 + T3 * T8);
T7 = T6 * VdseffCV / AbulkCV;
Csg = T5 * (1.0 - dDeltaPhi_dVg) + T6 * dVdseffCV_dVg;
Csd = Csg * dVgsteff_dVd + T6 * dVdseffCV_dVd
+ QovCox * dCoxeff_dVd;
Csb = Csg * dVgsteff_dVb + T6 * dVdseffCV_dVb
+ T7 * dAbulkCV_dVb + QovCox * dCoxeff_dVb;
Csg = Csg * dVgsteff_dVg + QovCox * dCoxeff_dVg;
}
else
{ /* 50/50 partition */
qsrc = -0.5 * qgate;
Csg = -0.5 * Cgg1;
Csd = -0.5 * Cgd1;
Csb = -0.5 * Cgb1;
}
qgate += Qac0 + Qsub0 - qbulk;
qbulk -= (Qac0 + Qsub0);
qdrn = -(qgate + qbulk + qsrc);
Cbg = Cbg1 - dQac0_dVg - dQsub0_dVg;
Cbd = Cbd1 - dQsub0_dVd;
Cbb = Cbb1 - dQac0_dVb - dQsub0_dVb;
Cgg = Cgg1 - Cbg;
Cgd = Cgd1 - Cbd;
Cgb = Cgb1 - Cbb;
Cgb *= dVbseff_dVb;
Cbb *= dVbseff_dVb;
Csb *= dVbseff_dVb;
here->BSIM3v32cggb = Cgg;
here->BSIM3v32cgsb = -(Cgg + Cgd + Cgb);
here->BSIM3v32cgdb = Cgd;
here->BSIM3v32cdgb = -(Cgg + Cbg + Csg);
here->BSIM3v32cdsb = (Cgg + Cgd + Cgb + Cbg + Cbd + Cbb
+ Csg + Csd + Csb);
here->BSIM3v32cddb = -(Cgd + Cbd + Csd);
here->BSIM3v32cbgb = Cbg;
here->BSIM3v32cbsb = -(Cbg + Cbd + Cbb);
here->BSIM3v32cbdb = Cbd;
here->BSIM3v32qinv = -qinoi;
} /* End of CTM */
}
finished:
/* Returning Values to Calling Routine */
/*
* COMPUTE EQUIVALENT DRAIN CURRENT SOURCE
*/
here->BSIM3v32qgate = qgate;
here->BSIM3v32qbulk = qbulk;
here->BSIM3v32qdrn = qdrn;
here->BSIM3v32cd = cdrain;
if (ChargeComputationNeeded)
{ /* charge storage elements
* bulk-drain and bulk-source depletion capacitances
* czbd : zero bias drain junction capacitance
* czbs : zero bias source junction capacitance
* czbdsw: zero bias drain junction sidewall capacitance
along field oxide
* czbssw: zero bias source junction sidewall capacitance
along field oxide
* czbdswg: zero bias drain junction sidewall capacitance
along gate side
* czbsswg: zero bias source junction sidewall capacitance
along gate side
*/
if (model->BSIM3v32acmMod == 0)
{
/* Added revision dependent code */
switch (model->BSIM3v32intVersion) {
case BSIM3v32V324:
case BSIM3v32V323:
czbd = model->BSIM3v32unitAreaTempJctCap * here->BSIM3v32drainArea; /*bug fix */
czbs = model->BSIM3v32unitAreaTempJctCap * here->BSIM3v32sourceArea;
break;
case BSIM3v32V322:
case BSIM3v32V32:
default:
czbd = model->BSIM3v32unitAreaJctCap * here->BSIM3v32drainArea;
czbs = model->BSIM3v32unitAreaJctCap * here->BSIM3v32sourceArea;
}
if (here->BSIM3v32drainPerimeter < pParam->BSIM3v32weff)
{
czbdsw = 0.0;
/* Added revision dependent code */
switch (model->BSIM3v32intVersion) {
case BSIM3v32V324:
case BSIM3v32V323:
czbdswg = model->BSIM3v32unitLengthGateSidewallTempJctCap
* here->BSIM3v32drainPerimeter;
break;
case BSIM3v32V322:
case BSIM3v32V32:
default:
czbdswg = model->BSIM3v32unitLengthGateSidewallJctCap
* here->BSIM3v32drainPerimeter;
}
}
else
{
/* Added revision dependent code */
switch (model->BSIM3v32intVersion) {
case BSIM3v32V324:
case BSIM3v32V323:
czbdsw = model->BSIM3v32unitLengthSidewallTempJctCap
* (here->BSIM3v32drainPerimeter - pParam->BSIM3v32weff);
czbdswg = model->BSIM3v32unitLengthGateSidewallTempJctCap
* pParam->BSIM3v32weff;
break;
case BSIM3v32V322:
case BSIM3v32V32:
default:
czbdsw = model->BSIM3v32unitLengthSidewallJctCap
* (here->BSIM3v32drainPerimeter - pParam->BSIM3v32weff);
czbdswg = model->BSIM3v32unitLengthGateSidewallJctCap
* pParam->BSIM3v32weff;
}
}
if (here->BSIM3v32sourcePerimeter < pParam->BSIM3v32weff)
{
czbssw = 0.0;
/* Added revision dependent code */
switch (model->BSIM3v32intVersion) {
case BSIM3v32V324:
case BSIM3v32V323:
czbsswg = model->BSIM3v32unitLengthGateSidewallTempJctCap
* here->BSIM3v32sourcePerimeter;
break;
case BSIM3v32V322:
case BSIM3v32V32:
default:
czbsswg = model->BSIM3v32unitLengthGateSidewallJctCap
* here->BSIM3v32sourcePerimeter;
}
}
else
{
/* Added revision dependent code */
switch (model->BSIM3v32intVersion) {
case BSIM3v32V324:
case BSIM3v32V323:
czbssw = model->BSIM3v32unitLengthSidewallTempJctCap
* (here->BSIM3v32sourcePerimeter - pParam->BSIM3v32weff);
czbsswg = model->BSIM3v32unitLengthGateSidewallTempJctCap
* pParam->BSIM3v32weff;
break;
case BSIM3v32V322:
case BSIM3v32V32:
default:
czbssw = model->BSIM3v32unitLengthSidewallJctCap
* (here->BSIM3v32sourcePerimeter - pParam->BSIM3v32weff);
czbsswg = model->BSIM3v32unitLengthGateSidewallJctCap
* pParam->BSIM3v32weff;
}
}
} else {
/* Added revision dependent code */
switch (model->BSIM3v32intVersion) {
case BSIM3v32V324:
case BSIM3v32V323:
error = ACM_junctionCapacitances(
model->BSIM3v32acmMod,
model->BSIM3v32calcacm,
here->BSIM3v32geo,
model->BSIM3v32hdif,
model->BSIM3v32wmlt,
here->BSIM3v32w,
model->BSIM3v32xw,
here->BSIM3v32drainAreaGiven,
here->BSIM3v32drainArea,
here->BSIM3v32drainPerimeterGiven,
here->BSIM3v32drainPerimeter,
here->BSIM3v32sourceAreaGiven,
here->BSIM3v32sourceArea,
here->BSIM3v32sourcePerimeterGiven,
here->BSIM3v32sourcePerimeter,
model->BSIM3v32unitAreaTempJctCap,
model->BSIM3v32unitLengthSidewallTempJctCap,
model->BSIM3v32unitLengthGateSidewallTempJctCap,
&czbd,
&czbdsw,
&czbdswg,
&czbs,
&czbssw,
&czbsswg
);
break;
case BSIM3v32V322:
case BSIM3v32V32:
default:
error = ACM_junctionCapacitances(
model->BSIM3v32acmMod,
model->BSIM3v32calcacm,
here->BSIM3v32geo,
model->BSIM3v32hdif,
model->BSIM3v32wmlt,
here->BSIM3v32w,
model->BSIM3v32xw,
here->BSIM3v32drainAreaGiven,
here->BSIM3v32drainArea,
here->BSIM3v32drainPerimeterGiven,
here->BSIM3v32drainPerimeter,
here->BSIM3v32sourceAreaGiven,
here->BSIM3v32sourceArea,
here->BSIM3v32sourcePerimeterGiven,
here->BSIM3v32sourcePerimeter,
model->BSIM3v32unitAreaJctCap,
model->BSIM3v32unitLengthSidewallJctCap,
model->BSIM3v32unitLengthGateSidewallJctCap,
&czbd,
&czbdsw,
&czbdswg,
&czbs,
&czbssw,
&czbsswg
);
}
if (error)
return(error);
}
MJ = model->BSIM3v32bulkJctBotGradingCoeff;
MJSW = model->BSIM3v32bulkJctSideGradingCoeff;
MJSWG = model->BSIM3v32bulkJctGateSideGradingCoeff;
/* Source Bulk Junction */
if (vbs == 0.0)
{ *(ckt->CKTstate0 + here->BSIM3v32qbs) = 0.0;
here->BSIM3v32capbs = czbs + czbssw + czbsswg;
}
else if (vbs < 0.0)
{ if (czbs > 0.0)
{ arg = 1.0 - vbs / model->BSIM3v32PhiB;
if (MJ == 0.5)
sarg = 1.0 / sqrt(arg);
else
sarg = exp(-MJ * log(arg));
*(ckt->CKTstate0 + here->BSIM3v32qbs) = model->BSIM3v32PhiB * czbs
* (1.0 - arg * sarg) / (1.0 - MJ);
here->BSIM3v32capbs = czbs * sarg;
}
else
{ *(ckt->CKTstate0 + here->BSIM3v32qbs) = 0.0;
here->BSIM3v32capbs = 0.0;
}
if (czbssw > 0.0)
{ arg = 1.0 - vbs / model->BSIM3v32PhiBSW;
if (MJSW == 0.5)
sarg = 1.0 / sqrt(arg);
else
sarg = exp(-MJSW * log(arg));
*(ckt->CKTstate0 + here->BSIM3v32qbs) += model->BSIM3v32PhiBSW * czbssw
* (1.0 - arg * sarg) / (1.0 - MJSW);
here->BSIM3v32capbs += czbssw * sarg;
}
if (czbsswg > 0.0)
{ arg = 1.0 - vbs / model->BSIM3v32PhiBSWG;
if (MJSWG == 0.5)
sarg = 1.0 / sqrt(arg);
else
sarg = exp(-MJSWG * log(arg));
*(ckt->CKTstate0 + here->BSIM3v32qbs) += model->BSIM3v32PhiBSWG * czbsswg
* (1.0 - arg * sarg) / (1.0 - MJSWG);
here->BSIM3v32capbs += czbsswg * sarg;
}
}
else
{ T0 = czbs + czbssw + czbsswg;
T1 = vbs * (czbs * MJ / model->BSIM3v32PhiB + czbssw * MJSW
/ model->BSIM3v32PhiBSW + czbsswg * MJSWG / model->BSIM3v32PhiBSWG);
*(ckt->CKTstate0 + here->BSIM3v32qbs) = vbs * (T0 + 0.5 * T1);
here->BSIM3v32capbs = T0 + T1;
}
/* Drain Bulk Junction */
if (vbd == 0.0)
{ *(ckt->CKTstate0 + here->BSIM3v32qbd) = 0.0;
here->BSIM3v32capbd = czbd + czbdsw + czbdswg;
}
else if (vbd < 0.0)
{ if (czbd > 0.0)
{ arg = 1.0 - vbd / model->BSIM3v32PhiB;
if (MJ == 0.5)
sarg = 1.0 / sqrt(arg);
else
sarg = exp(-MJ * log(arg));
*(ckt->CKTstate0 + here->BSIM3v32qbd) = model->BSIM3v32PhiB * czbd
* (1.0 - arg * sarg) / (1.0 - MJ);
here->BSIM3v32capbd = czbd * sarg;
}
else
{ *(ckt->CKTstate0 + here->BSIM3v32qbd) = 0.0;
here->BSIM3v32capbd = 0.0;
}
if (czbdsw > 0.0)
{ arg = 1.0 - vbd / model->BSIM3v32PhiBSW;
if (MJSW == 0.5)
sarg = 1.0 / sqrt(arg);
else
sarg = exp(-MJSW * log(arg));
*(ckt->CKTstate0 + here->BSIM3v32qbd) += model->BSIM3v32PhiBSW * czbdsw
* (1.0 - arg * sarg) / (1.0 - MJSW);
here->BSIM3v32capbd += czbdsw * sarg;
}
if (czbdswg > 0.0)
{ arg = 1.0 - vbd / model->BSIM3v32PhiBSWG;
if (MJSWG == 0.5)
sarg = 1.0 / sqrt(arg);
else
sarg = exp(-MJSWG * log(arg));
*(ckt->CKTstate0 + here->BSIM3v32qbd) += model->BSIM3v32PhiBSWG * czbdswg
* (1.0 - arg * sarg) / (1.0 - MJSWG);
here->BSIM3v32capbd += czbdswg * sarg;
}
}
else
{ T0 = czbd + czbdsw + czbdswg;
T1 = vbd * (czbd * MJ / model->BSIM3v32PhiB + czbdsw * MJSW
/ model->BSIM3v32PhiBSW + czbdswg * MJSWG / model->BSIM3v32PhiBSWG);
*(ckt->CKTstate0 + here->BSIM3v32qbd) = vbd * (T0 + 0.5 * T1);
here->BSIM3v32capbd = T0 + T1;
}
}
/*
* check convergence
*/
if ((here->BSIM3v32off == 0) || (!(ckt->CKTmode & MODEINITFIX)))
{ if (Check == 1)
{ ckt->CKTnoncon++;
#ifndef NEWCONV
}
else
{ if (here->BSIM3v32mode >= 0)
{ Idtot = here->BSIM3v32cd + here->BSIM3v32csub - here->BSIM3v32cbd;
}
else
{ Idtot = here->BSIM3v32cd - here->BSIM3v32cbd;
}
tol = ckt->CKTreltol * MAX(fabs(cdhat), fabs(Idtot))
+ ckt->CKTabstol;
if (fabs(cdhat - Idtot) >= tol)
{ ckt->CKTnoncon++;
}
else
{ Ibtot = here->BSIM3v32cbs + here->BSIM3v32cbd - here->BSIM3v32csub;
tol = ckt->CKTreltol * MAX(fabs(cbhat), fabs(Ibtot))
+ ckt->CKTabstol;
if (fabs(cbhat - Ibtot) > tol)
{ ckt->CKTnoncon++;
}
}
#endif /* NEWCONV */
}
}
*(ckt->CKTstate0 + here->BSIM3v32vbs) = vbs;
*(ckt->CKTstate0 + here->BSIM3v32vbd) = vbd;
*(ckt->CKTstate0 + here->BSIM3v32vgs) = vgs;
*(ckt->CKTstate0 + here->BSIM3v32vds) = vds;
*(ckt->CKTstate0 + here->BSIM3v32qdef) = qdef;
/* bulk and channel charge plus overlaps */
if (!ChargeComputationNeeded)
goto line850;
#ifndef NOBYPASS
line755:
#endif
/* NQS begins */
if (here->BSIM3v32nqsMod)
{ qcheq = -(qbulk + qgate);
here->BSIM3v32cqgb = -(here->BSIM3v32cggb + here->BSIM3v32cbgb);
here->BSIM3v32cqdb = -(here->BSIM3v32cgdb + here->BSIM3v32cbdb);
here->BSIM3v32cqsb = -(here->BSIM3v32cgsb + here->BSIM3v32cbsb);
here->BSIM3v32cqbb = -(here->BSIM3v32cqgb + here->BSIM3v32cqdb
+ here->BSIM3v32cqsb);
gtau_drift = fabs(here->BSIM3v32tconst * qcheq) * ScalingFactor;
T0 = pParam->BSIM3v32leffCV * pParam->BSIM3v32leffCV;
gtau_diff = 16.0 * here->BSIM3v32u0temp * model->BSIM3v32vtm / T0
* ScalingFactor;
here->BSIM3v32gtau = gtau_drift + gtau_diff;
}
if (model->BSIM3v32capMod == 0)
{
/* code merge -JX */
cgdo = pParam->BSIM3v32cgdo;
qgdo = pParam->BSIM3v32cgdo * vgd;
cgso = pParam->BSIM3v32cgso;
qgso = pParam->BSIM3v32cgso * vgs;
}
else if (model->BSIM3v32capMod == 1)
{ if (vgd < 0.0)
{ T1 = sqrt(1.0 - 4.0 * vgd / pParam->BSIM3v32ckappa);
cgdo = pParam->BSIM3v32cgdo + pParam->BSIM3v32weffCV
* pParam->BSIM3v32cgdl / T1;
qgdo = pParam->BSIM3v32cgdo * vgd - pParam->BSIM3v32weffCV * 0.5
* pParam->BSIM3v32cgdl * pParam->BSIM3v32ckappa * (T1 - 1.0);
}
else
{ cgdo = pParam->BSIM3v32cgdo + pParam->BSIM3v32weffCV
* pParam->BSIM3v32cgdl;
qgdo = (pParam->BSIM3v32weffCV * pParam->BSIM3v32cgdl
+ pParam->BSIM3v32cgdo) * vgd;
}
if (vgs < 0.0)
{ T1 = sqrt(1.0 - 4.0 * vgs / pParam->BSIM3v32ckappa);
cgso = pParam->BSIM3v32cgso + pParam->BSIM3v32weffCV
* pParam->BSIM3v32cgsl / T1;
qgso = pParam->BSIM3v32cgso * vgs - pParam->BSIM3v32weffCV * 0.5
* pParam->BSIM3v32cgsl * pParam->BSIM3v32ckappa * (T1 - 1.0);
}
else
{ cgso = pParam->BSIM3v32cgso + pParam->BSIM3v32weffCV
* pParam->BSIM3v32cgsl;
qgso = (pParam->BSIM3v32weffCV * pParam->BSIM3v32cgsl
+ pParam->BSIM3v32cgso) * vgs;
}
}
else
{ T0 = vgd + DELTA_1;
T1 = sqrt(T0 * T0 + 4.0 * DELTA_1);
T2 = 0.5 * (T0 - T1);
T3 = pParam->BSIM3v32weffCV * pParam->BSIM3v32cgdl;
T4 = sqrt(1.0 - 4.0 * T2 / pParam->BSIM3v32ckappa);
cgdo = pParam->BSIM3v32cgdo + T3 - T3 * (1.0 - 1.0 / T4)
* (0.5 - 0.5 * T0 / T1);
qgdo = (pParam->BSIM3v32cgdo + T3) * vgd - T3 * (T2
+ 0.5 * pParam->BSIM3v32ckappa * (T4 - 1.0));
T0 = vgs + DELTA_1;
T1 = sqrt(T0 * T0 + 4.0 * DELTA_1);
T2 = 0.5 * (T0 - T1);
T3 = pParam->BSIM3v32weffCV * pParam->BSIM3v32cgsl;
T4 = sqrt(1.0 - 4.0 * T2 / pParam->BSIM3v32ckappa);
cgso = pParam->BSIM3v32cgso + T3 - T3 * (1.0 - 1.0 / T4)
* (0.5 - 0.5 * T0 / T1);
qgso = (pParam->BSIM3v32cgso + T3) * vgs - T3 * (T2
+ 0.5 * pParam->BSIM3v32ckappa * (T4 - 1.0));
}
here->BSIM3v32cgdo = cgdo;
here->BSIM3v32cgso = cgso;
ag0 = ckt->CKTag[0];
if (here->BSIM3v32mode > 0)
{ if (here->BSIM3v32nqsMod == 0)
{ gcggb = (here->BSIM3v32cggb + cgdo + cgso
+ pParam->BSIM3v32cgbo ) * ag0;
gcgdb = (here->BSIM3v32cgdb - cgdo) * ag0;
gcgsb = (here->BSIM3v32cgsb - cgso) * ag0;
gcdgb = (here->BSIM3v32cdgb - cgdo) * ag0;
gcddb = (here->BSIM3v32cddb + here->BSIM3v32capbd + cgdo) * ag0;
gcdsb = here->BSIM3v32cdsb * ag0;
gcsgb = -(here->BSIM3v32cggb + here->BSIM3v32cbgb
+ here->BSIM3v32cdgb + cgso) * ag0;
gcsdb = -(here->BSIM3v32cgdb + here->BSIM3v32cbdb
+ here->BSIM3v32cddb) * ag0;
gcssb = (here->BSIM3v32capbs + cgso - (here->BSIM3v32cgsb
+ here->BSIM3v32cbsb + here->BSIM3v32cdsb)) * ag0;
gcbgb = (here->BSIM3v32cbgb - pParam->BSIM3v32cgbo) * ag0;
gcbdb = (here->BSIM3v32cbdb - here->BSIM3v32capbd) * ag0;
gcbsb = (here->BSIM3v32cbsb - here->BSIM3v32capbs) * ag0;
qgd = qgdo;
qgs = qgso;
qgb = pParam->BSIM3v32cgbo * vgb;
qgate += qgd + qgs + qgb;
qbulk -= qgb;
qdrn -= qgd;
qsrc = -(qgate + qbulk + qdrn);
ggtg = ggtd = ggtb = ggts = 0.0;
sxpart = 0.6;
dxpart = 0.4;
ddxpart_dVd = ddxpart_dVg = ddxpart_dVb = ddxpart_dVs = 0.0;
dsxpart_dVd = dsxpart_dVg = dsxpart_dVb = dsxpart_dVs = 0.0;
}
else
{ if (qcheq > 0.0)
T0 = here->BSIM3v32tconst * qdef * ScalingFactor;
else
T0 = -here->BSIM3v32tconst * qdef * ScalingFactor;
ggtg = here->BSIM3v32gtg = T0 * here->BSIM3v32cqgb;
ggtd = here->BSIM3v32gtd = T0 * here->BSIM3v32cqdb;
ggts = here->BSIM3v32gts = T0 * here->BSIM3v32cqsb;
ggtb = here->BSIM3v32gtb = T0 * here->BSIM3v32cqbb;
gqdef = ScalingFactor * ag0;
gcqgb = here->BSIM3v32cqgb * ag0;
gcqdb = here->BSIM3v32cqdb * ag0;
gcqsb = here->BSIM3v32cqsb * ag0;
gcqbb = here->BSIM3v32cqbb * ag0;
gcggb = (cgdo + cgso + pParam->BSIM3v32cgbo ) * ag0;
gcgdb = -cgdo * ag0;
gcgsb = -cgso * ag0;
gcdgb = -cgdo * ag0;
gcddb = (here->BSIM3v32capbd + cgdo) * ag0;
gcdsb = 0.0;
gcsgb = -cgso * ag0;
gcsdb = 0.0;
gcssb = (here->BSIM3v32capbs + cgso) * ag0;
gcbgb = -pParam->BSIM3v32cgbo * ag0;
gcbdb = -here->BSIM3v32capbd * ag0;
gcbsb = -here->BSIM3v32capbs * ag0;
CoxWL = model->BSIM3v32cox * pParam->BSIM3v32weffCV
* pParam->BSIM3v32leffCV;
if (fabs(qcheq) <= 1.0e-5 * CoxWL)
{ if (model->BSIM3v32xpart < 0.5)
{ dxpart = 0.4;
}
else if (model->BSIM3v32xpart > 0.5)
{ dxpart = 0.0;
}
else
{ dxpart = 0.5;
}
ddxpart_dVd = ddxpart_dVg = ddxpart_dVb
= ddxpart_dVs = 0.0;
}
else
{ dxpart = qdrn / qcheq;
Cdd = here->BSIM3v32cddb;
Csd = -(here->BSIM3v32cgdb + here->BSIM3v32cddb
+ here->BSIM3v32cbdb);
ddxpart_dVd = (Cdd - dxpart * (Cdd + Csd)) / qcheq;
Cdg = here->BSIM3v32cdgb;
Csg = -(here->BSIM3v32cggb + here->BSIM3v32cdgb
+ here->BSIM3v32cbgb);
ddxpart_dVg = (Cdg - dxpart * (Cdg + Csg)) / qcheq;
Cds = here->BSIM3v32cdsb;
Css = -(here->BSIM3v32cgsb + here->BSIM3v32cdsb
+ here->BSIM3v32cbsb);
ddxpart_dVs = (Cds - dxpart * (Cds + Css)) / qcheq;
ddxpart_dVb = -(ddxpart_dVd + ddxpart_dVg + ddxpart_dVs);
}
sxpart = 1.0 - dxpart;
dsxpart_dVd = -ddxpart_dVd;
dsxpart_dVg = -ddxpart_dVg;
dsxpart_dVs = -ddxpart_dVs;
dsxpart_dVb = -(dsxpart_dVd + dsxpart_dVg + dsxpart_dVs);
qgd = qgdo;
qgs = qgso;
qgb = pParam->BSIM3v32cgbo * vgb;
qgate = qgd + qgs + qgb;
qbulk = -qgb;
qdrn = -qgd;
qsrc = -(qgate + qbulk + qdrn);
}
}
else
{ if (here->BSIM3v32nqsMod == 0)
{ gcggb = (here->BSIM3v32cggb + cgdo + cgso
+ pParam->BSIM3v32cgbo ) * ag0;
gcgdb = (here->BSIM3v32cgsb - cgdo) * ag0;
gcgsb = (here->BSIM3v32cgdb - cgso) * ag0;
gcdgb = -(here->BSIM3v32cggb + here->BSIM3v32cbgb
+ here->BSIM3v32cdgb + cgdo) * ag0;
gcddb = (here->BSIM3v32capbd + cgdo - (here->BSIM3v32cgsb
+ here->BSIM3v32cbsb + here->BSIM3v32cdsb)) * ag0;
gcdsb = -(here->BSIM3v32cgdb + here->BSIM3v32cbdb
+ here->BSIM3v32cddb) * ag0;
gcsgb = (here->BSIM3v32cdgb - cgso) * ag0;
gcsdb = here->BSIM3v32cdsb * ag0;
gcssb = (here->BSIM3v32cddb + here->BSIM3v32capbs + cgso) * ag0;
gcbgb = (here->BSIM3v32cbgb - pParam->BSIM3v32cgbo) * ag0;
gcbdb = (here->BSIM3v32cbsb - here->BSIM3v32capbd) * ag0;
gcbsb = (here->BSIM3v32cbdb - here->BSIM3v32capbs) * ag0;
qgd = qgdo;
qgs = qgso;
qgb = pParam->BSIM3v32cgbo * vgb;
qgate += qgd + qgs + qgb;
qbulk -= qgb;
qsrc = qdrn - qgs;
qdrn = -(qgate + qbulk + qsrc);
ggtg = ggtd = ggtb = ggts = 0.0;
sxpart = 0.4;
dxpart = 0.6;
ddxpart_dVd = ddxpart_dVg = ddxpart_dVb = ddxpart_dVs = 0.0;
dsxpart_dVd = dsxpart_dVg = dsxpart_dVb = dsxpart_dVs = 0.0;
}
else
{ if (qcheq > 0.0)
T0 = here->BSIM3v32tconst * qdef * ScalingFactor;
else
T0 = -here->BSIM3v32tconst * qdef * ScalingFactor;
ggtg = here->BSIM3v32gtg = T0 * here->BSIM3v32cqgb;
ggts = here->BSIM3v32gtd = T0 * here->BSIM3v32cqdb;
ggtd = here->BSIM3v32gts = T0 * here->BSIM3v32cqsb;
ggtb = here->BSIM3v32gtb = T0 * here->BSIM3v32cqbb;
gqdef = ScalingFactor * ag0;
gcqgb = here->BSIM3v32cqgb * ag0;
gcqdb = here->BSIM3v32cqsb * ag0;
gcqsb = here->BSIM3v32cqdb * ag0;
gcqbb = here->BSIM3v32cqbb * ag0;
gcggb = (cgdo + cgso + pParam->BSIM3v32cgbo) * ag0;
gcgdb = -cgdo * ag0;
gcgsb = -cgso * ag0;
gcdgb = -cgdo * ag0;
gcddb = (here->BSIM3v32capbd + cgdo) * ag0;
gcdsb = 0.0;
gcsgb = -cgso * ag0;
gcsdb = 0.0;
gcssb = (here->BSIM3v32capbs + cgso) * ag0;
gcbgb = -pParam->BSIM3v32cgbo * ag0;
gcbdb = -here->BSIM3v32capbd * ag0;
gcbsb = -here->BSIM3v32capbs * ag0;
CoxWL = model->BSIM3v32cox * pParam->BSIM3v32weffCV
* pParam->BSIM3v32leffCV;
if (fabs(qcheq) <= 1.0e-5 * CoxWL)
{ if (model->BSIM3v32xpart < 0.5)
{ sxpart = 0.4;
}
else if (model->BSIM3v32xpart > 0.5)
{ sxpart = 0.0;
}
else
{ sxpart = 0.5;
}
dsxpart_dVd = dsxpart_dVg = dsxpart_dVb
= dsxpart_dVs = 0.0;
}
else
{ sxpart = qdrn / qcheq;
Css = here->BSIM3v32cddb;
Cds = -(here->BSIM3v32cgdb + here->BSIM3v32cddb
+ here->BSIM3v32cbdb);
dsxpart_dVs = (Css - sxpart * (Css + Cds)) / qcheq;
Csg = here->BSIM3v32cdgb;
Cdg = -(here->BSIM3v32cggb + here->BSIM3v32cdgb
+ here->BSIM3v32cbgb);
dsxpart_dVg = (Csg - sxpart * (Csg + Cdg)) / qcheq;
Csd = here->BSIM3v32cdsb;
Cdd = -(here->BSIM3v32cgsb + here->BSIM3v32cdsb
+ here->BSIM3v32cbsb);
dsxpart_dVd = (Csd - sxpart * (Csd + Cdd)) / qcheq;
dsxpart_dVb = -(dsxpart_dVd + dsxpart_dVg + dsxpart_dVs);
}
dxpart = 1.0 - sxpart;
ddxpart_dVd = -dsxpart_dVd;
ddxpart_dVg = -dsxpart_dVg;
ddxpart_dVs = -dsxpart_dVs;
ddxpart_dVb = -(ddxpart_dVd + ddxpart_dVg + ddxpart_dVs);
qgd = qgdo;
qgs = qgso;
qgb = pParam->BSIM3v32cgbo * vgb;
qgate = qgd + qgs + qgb;
qbulk = -qgb;
qsrc = -qgs;
qdrn = -(qgate + qbulk + qsrc);
}
}
cqdef = cqcheq = 0.0;
if (ByPass) goto line860;
*(ckt->CKTstate0 + here->BSIM3v32qg) = qgate;
*(ckt->CKTstate0 + here->BSIM3v32qd) = qdrn
- *(ckt->CKTstate0 + here->BSIM3v32qbd);
*(ckt->CKTstate0 + here->BSIM3v32qb) = qbulk
+ *(ckt->CKTstate0 + here->BSIM3v32qbd)
+ *(ckt->CKTstate0 + here->BSIM3v32qbs);
if (here->BSIM3v32nqsMod)
{ *(ckt->CKTstate0 + here->BSIM3v32qcdump) = qdef * ScalingFactor;
*(ckt->CKTstate0 + here->BSIM3v32qcheq) = qcheq;
}
/* store small signal parameters */
if (ckt->CKTmode & MODEINITSMSIG)
{ goto line1000;
}
if (!ChargeComputationNeeded)
goto line850;
if (ckt->CKTmode & MODEINITTRAN)
{ *(ckt->CKTstate1 + here->BSIM3v32qb) =
*(ckt->CKTstate0 + here->BSIM3v32qb);
*(ckt->CKTstate1 + here->BSIM3v32qg) =
*(ckt->CKTstate0 + here->BSIM3v32qg);
*(ckt->CKTstate1 + here->BSIM3v32qd) =
*(ckt->CKTstate0 + here->BSIM3v32qd);
if (here->BSIM3v32nqsMod)
{ *(ckt->CKTstate1 + here->BSIM3v32qcheq) =
*(ckt->CKTstate0 + here->BSIM3v32qcheq);
*(ckt->CKTstate1 + here->BSIM3v32qcdump) =
*(ckt->CKTstate0 + here->BSIM3v32qcdump);
}
}
error = NIintegrate(ckt, &geq, &ceq, 0.0, here->BSIM3v32qb);
if (error)
return(error);
error = NIintegrate(ckt, &geq, &ceq, 0.0, here->BSIM3v32qg);
if (error)
return(error);
error = NIintegrate(ckt, &geq, &ceq, 0.0, here->BSIM3v32qd);
if (error)
return(error);
if (here->BSIM3v32nqsMod)
{ error = NIintegrate(ckt, &geq, &ceq, 0.0, here->BSIM3v32qcdump);
if (error)
return(error);
error = NIintegrate(ckt, &geq, &ceq, 0.0, here->BSIM3v32qcheq);
if (error)
return(error);
}
goto line860;
line850:
/* initialize to zero charge conductance and current */
ceqqg = ceqqb = ceqqd = 0.0;
cqcheq = cqdef = 0.0;
gcdgb = gcddb = gcdsb = 0.0;
gcsgb = gcsdb = gcssb = 0.0;
gcggb = gcgdb = gcgsb = 0.0;
gcbgb = gcbdb = gcbsb = 0.0;
gqdef = gcqgb = gcqdb = gcqsb = gcqbb = 0.0;
ggtg = ggtd = ggtb = ggts = 0.0;
sxpart = (1.0 - (dxpart = (here->BSIM3v32mode > 0) ? 0.4 : 0.6));
ddxpart_dVd = ddxpart_dVg = ddxpart_dVb = ddxpart_dVs = 0.0;
dsxpart_dVd = dsxpart_dVg = dsxpart_dVb = dsxpart_dVs = 0.0;
if (here->BSIM3v32nqsMod)
here->BSIM3v32gtau = 16.0 * here->BSIM3v32u0temp * model->BSIM3v32vtm
/ pParam->BSIM3v32leffCV / pParam->BSIM3v32leffCV
* ScalingFactor;
else
here->BSIM3v32gtau = 0.0;
goto line900;
line860:
/* evaluate equivalent charge current */
cqgate = *(ckt->CKTstate0 + here->BSIM3v32cqg);
cqbulk = *(ckt->CKTstate0 + here->BSIM3v32cqb);
cqdrn = *(ckt->CKTstate0 + here->BSIM3v32cqd);
ceqqg = cqgate - gcggb * vgb + gcgdb * vbd + gcgsb * vbs;
ceqqb = cqbulk - gcbgb * vgb + gcbdb * vbd + gcbsb * vbs;
ceqqd = cqdrn - gcdgb * vgb + gcddb * vbd + gcdsb * vbs;
if (here->BSIM3v32nqsMod)
{ T0 = ggtg * vgb - ggtd * vbd - ggts * vbs;
ceqqg += T0;
T1 = qdef * here->BSIM3v32gtau;
ceqqd -= dxpart * T0 + T1 * (ddxpart_dVg * vgb - ddxpart_dVd
* vbd - ddxpart_dVs * vbs);
cqdef = *(ckt->CKTstate0 + here->BSIM3v32cqcdump) - gqdef * qdef;
cqcheq = *(ckt->CKTstate0 + here->BSIM3v32cqcheq)
- (gcqgb * vgb - gcqdb * vbd - gcqsb * vbs) + T0;
}
if (ckt->CKTmode & MODEINITTRAN)
{ *(ckt->CKTstate1 + here->BSIM3v32cqb) =
*(ckt->CKTstate0 + here->BSIM3v32cqb);
*(ckt->CKTstate1 + here->BSIM3v32cqg) =
*(ckt->CKTstate0 + here->BSIM3v32cqg);
*(ckt->CKTstate1 + here->BSIM3v32cqd) =
*(ckt->CKTstate0 + here->BSIM3v32cqd);
if (here->BSIM3v32nqsMod)
{ *(ckt->CKTstate1 + here->BSIM3v32cqcheq) =
*(ckt->CKTstate0 + here->BSIM3v32cqcheq);
*(ckt->CKTstate1 + here->BSIM3v32cqcdump) =
*(ckt->CKTstate0 + here->BSIM3v32cqcdump);
}
}
/*
* load current vector
*/
line900:
if (here->BSIM3v32mode >= 0)
{ Gm = here->BSIM3v32gm;
Gmbs = here->BSIM3v32gmbs;
FwdSum = Gm + Gmbs;
RevSum = 0.0;
cdreq = model->BSIM3v32type * (cdrain - here->BSIM3v32gds * vds
- Gm * vgs - Gmbs * vbs);
ceqbd = -model->BSIM3v32type * (here->BSIM3v32csub
- here->BSIM3v32gbds * vds - here->BSIM3v32gbgs * vgs
- here->BSIM3v32gbbs * vbs);
ceqbs = 0.0;
gbbdp = -here->BSIM3v32gbds;
gbbsp = (here->BSIM3v32gbds + here->BSIM3v32gbgs + here->BSIM3v32gbbs);
gbdpg = here->BSIM3v32gbgs;
gbdpdp = here->BSIM3v32gbds;
gbdpb = here->BSIM3v32gbbs;
gbdpsp = -(gbdpg + gbdpdp + gbdpb);
gbspg = 0.0;
gbspdp = 0.0;
gbspb = 0.0;
gbspsp = 0.0;
}
else
{ Gm = -here->BSIM3v32gm;
Gmbs = -here->BSIM3v32gmbs;
FwdSum = 0.0;
RevSum = -(Gm + Gmbs);
cdreq = -model->BSIM3v32type * (cdrain + here->BSIM3v32gds * vds
+ Gm * vgd + Gmbs * vbd);
ceqbs = -model->BSIM3v32type * (here->BSIM3v32csub
+ here->BSIM3v32gbds * vds - here->BSIM3v32gbgs * vgd
- here->BSIM3v32gbbs * vbd);
ceqbd = 0.0;
gbbsp = -here->BSIM3v32gbds;
gbbdp = (here->BSIM3v32gbds + here->BSIM3v32gbgs + here->BSIM3v32gbbs);
gbdpg = 0.0;
gbdpsp = 0.0;
gbdpb = 0.0;
gbdpdp = 0.0;
gbspg = here->BSIM3v32gbgs;
gbspsp = here->BSIM3v32gbds;
gbspb = here->BSIM3v32gbbs;
gbspdp = -(gbspg + gbspsp + gbspb);
}
if (model->BSIM3v32type > 0)
{ ceqbs += (here->BSIM3v32cbs - here->BSIM3v32gbs * vbs);
ceqbd += (here->BSIM3v32cbd - here->BSIM3v32gbd * vbd);
/*
ceqqg = ceqqg;
ceqqb = ceqqb;
ceqqd = ceqqd;
cqdef = cqdef;
cqcheq = cqcheq;
*/
}
else
{ ceqbs -= (here->BSIM3v32cbs - here->BSIM3v32gbs * vbs);
ceqbd -= (here->BSIM3v32cbd - here->BSIM3v32gbd * vbd);
ceqqg = -ceqqg;
ceqqb = -ceqqb;
ceqqd = -ceqqd;
cqdef = -cqdef;
cqcheq = -cqcheq;
}
m = here->BSIM3v32m;
#ifdef USE_OMP
here->BSIM3v32rhsG = m * ceqqg;
here->BSIM3v32rhsB = m * (ceqbs + ceqbd + ceqqb);
here->BSIM3v32rhsD = m * (ceqbd - cdreq - ceqqd);
here->BSIM3v32rhsS = m * (cdreq + ceqbs + ceqqg
+ ceqqb + ceqqd);
if (here->BSIM3v32nqsMod)
here->BSIM3v32rhsQ = m * (cqcheq - cqdef);
#else
(*(ckt->CKTrhs + here->BSIM3v32gNode) -= m * ceqqg);
(*(ckt->CKTrhs + here->BSIM3v32bNode) -= m * (ceqbs + ceqbd + ceqqb));
(*(ckt->CKTrhs + here->BSIM3v32dNodePrime) += m * (ceqbd - cdreq - ceqqd));
(*(ckt->CKTrhs + here->BSIM3v32sNodePrime) += m * (cdreq + ceqbs + ceqqg
+ ceqqb + ceqqd));
if (here->BSIM3v32nqsMod)
*(ckt->CKTrhs + here->BSIM3v32qNode) += m * (cqcheq - cqdef);
#endif
/*
* load y matrix
*/
T1 = qdef * here->BSIM3v32gtau;
#ifdef USE_OMP
here->BSIM3v32DdPt = m * here->BSIM3v32drainConductance;
here->BSIM3v32GgPt = m * (gcggb - ggtg);
here->BSIM3v32SsPt = m * here->BSIM3v32sourceConductance;
here->BSIM3v32BbPt = m * (here->BSIM3v32gbd + here->BSIM3v32gbs
- gcbgb - gcbdb - gcbsb - here->BSIM3v32gbbs);
here->BSIM3v32DPdpPt = m * (here->BSIM3v32drainConductance
+ here->BSIM3v32gds + here->BSIM3v32gbd
+ RevSum + gcddb + dxpart * ggtd
+ T1 * ddxpart_dVd + gbdpdp);
here->BSIM3v32SPspPt = m * (here->BSIM3v32sourceConductance
+ here->BSIM3v32gds + here->BSIM3v32gbs
+ FwdSum + gcssb + sxpart * ggts
+ T1 * dsxpart_dVs + gbspsp);
here->BSIM3v32DdpPt = m * here->BSIM3v32drainConductance;
here->BSIM3v32GbPt = m * (gcggb + gcgdb + gcgsb + ggtb);
here->BSIM3v32GdpPt = m * (gcgdb - ggtd);
here->BSIM3v32GspPt = m * (gcgsb - ggts);
here->BSIM3v32SspPt = m * here->BSIM3v32sourceConductance;
here->BSIM3v32BgPt = m * (gcbgb - here->BSIM3v32gbgs);
here->BSIM3v32BdpPt = m * (gcbdb - here->BSIM3v32gbd + gbbdp);
here->BSIM3v32BspPt = m * (gcbsb - here->BSIM3v32gbs + gbbsp);
here->BSIM3v32DPdPt = m * here->BSIM3v32drainConductance;
here->BSIM3v32DPgPt = m * (Gm + gcdgb + dxpart * ggtg
+ T1 * ddxpart_dVg + gbdpg);
here->BSIM3v32DPbPt = m * (here->BSIM3v32gbd - Gmbs + gcdgb + gcddb
+ gcdsb - dxpart * ggtb
- T1 * ddxpart_dVb - gbdpb);
here->BSIM3v32DPspPt = m * (here->BSIM3v32gds + FwdSum - gcdsb
- dxpart * ggts - T1 * ddxpart_dVs - gbdpsp);
here->BSIM3v32SPgPt = m * (gcsgb - Gm + sxpart * ggtg
+ T1 * dsxpart_dVg + gbspg);
here->BSIM3v32SPsPt = m * here->BSIM3v32sourceConductance;
here->BSIM3v32SPbPt = m * (here->BSIM3v32gbs + Gmbs + gcsgb + gcsdb
+ gcssb - sxpart * ggtb
- T1 * dsxpart_dVb - gbspb);
here->BSIM3v32SPdpPt = m * (here->BSIM3v32gds + RevSum - gcsdb
- sxpart * ggtd - T1 * dsxpart_dVd - gbspdp);
if (here->BSIM3v32nqsMod)
{
here->BSIM3v32QqPt = m * (gqdef + here->BSIM3v32gtau);
here->BSIM3v32DPqPt = m * (dxpart * here->BSIM3v32gtau);
here->BSIM3v32SPqPt = m * (sxpart * here->BSIM3v32gtau);
here->BSIM3v32GqPt = m * here->BSIM3v32gtau;
here->BSIM3v32QgPt = m * (ggtg - gcqgb);
here->BSIM3v32QdpPt = m * (ggtd - gcqdb);
here->BSIM3v32QspPt = m * (ggts - gcqsb);
here->BSIM3v32QbPt = m * (ggtb - gcqbb);
}
#else
(*(here->BSIM3v32DdPtr) += m * here->BSIM3v32drainConductance);
(*(here->BSIM3v32GgPtr) += m * (gcggb - ggtg));
(*(here->BSIM3v32SsPtr) += m * here->BSIM3v32sourceConductance);
(*(here->BSIM3v32BbPtr) += m * (here->BSIM3v32gbd + here->BSIM3v32gbs
- gcbgb - gcbdb - gcbsb - here->BSIM3v32gbbs));
(*(here->BSIM3v32DPdpPtr) += m * (here->BSIM3v32drainConductance
+ here->BSIM3v32gds + here->BSIM3v32gbd
+ RevSum + gcddb + dxpart * ggtd
+ T1 * ddxpart_dVd + gbdpdp));
(*(here->BSIM3v32SPspPtr) += m * (here->BSIM3v32sourceConductance
+ here->BSIM3v32gds + here->BSIM3v32gbs
+ FwdSum + gcssb + sxpart * ggts
+ T1 * dsxpart_dVs + gbspsp));
(*(here->BSIM3v32DdpPtr) -= m * here->BSIM3v32drainConductance);
(*(here->BSIM3v32GbPtr) -= m * (gcggb + gcgdb + gcgsb + ggtb));
(*(here->BSIM3v32GdpPtr) += m * (gcgdb - ggtd));
(*(here->BSIM3v32GspPtr) += m * (gcgsb - ggts));
(*(here->BSIM3v32SspPtr) -= m * here->BSIM3v32sourceConductance);
(*(here->BSIM3v32BgPtr) += m * (gcbgb - here->BSIM3v32gbgs));
(*(here->BSIM3v32BdpPtr) += m * (gcbdb - here->BSIM3v32gbd + gbbdp));
(*(here->BSIM3v32BspPtr) += m * (gcbsb - here->BSIM3v32gbs + gbbsp));
(*(here->BSIM3v32DPdPtr) -= m * here->BSIM3v32drainConductance);
(*(here->BSIM3v32DPgPtr) += m * (Gm + gcdgb + dxpart * ggtg
+ T1 * ddxpart_dVg + gbdpg));
(*(here->BSIM3v32DPbPtr) -= m * (here->BSIM3v32gbd - Gmbs + gcdgb + gcddb
+ gcdsb - dxpart * ggtb
- T1 * ddxpart_dVb - gbdpb));
(*(here->BSIM3v32DPspPtr) -= m * (here->BSIM3v32gds + FwdSum - gcdsb
- dxpart * ggts - T1 * ddxpart_dVs - gbdpsp));
(*(here->BSIM3v32SPgPtr) += m * (gcsgb - Gm + sxpart * ggtg
+ T1 * dsxpart_dVg + gbspg));
(*(here->BSIM3v32SPsPtr) -= m * here->BSIM3v32sourceConductance);
(*(here->BSIM3v32SPbPtr) -= m * (here->BSIM3v32gbs + Gmbs + gcsgb + gcsdb
+ gcssb - sxpart * ggtb
- T1 * dsxpart_dVb - gbspb));
(*(here->BSIM3v32SPdpPtr) -= m * (here->BSIM3v32gds + RevSum - gcsdb
- sxpart * ggtd - T1 * dsxpart_dVd - gbspdp));
if (here->BSIM3v32nqsMod)
{
*(here->BSIM3v32QqPtr) += m * (gqdef + here->BSIM3v32gtau);
*(here->BSIM3v32DPqPtr) += m * (dxpart * here->BSIM3v32gtau);
*(here->BSIM3v32SPqPtr) += m * (sxpart * here->BSIM3v32gtau);
*(here->BSIM3v32GqPtr) -= m * here->BSIM3v32gtau;
*(here->BSIM3v32QgPtr) += m * (ggtg - gcqgb);
*(here->BSIM3v32QdpPtr) += m * (ggtd - gcqdb);
*(here->BSIM3v32QspPtr) += m * (ggts - gcqsb);
*(here->BSIM3v32QbPtr) += m * (ggtb - gcqbb);
}
#endif
line1000: ;
#ifndef USE_OMP
} /* End of Mosfet Instance */
} /* End of Model Instance */
#endif
return(OK);
}
#ifdef USE_OMP
void BSIM3v32LoadRhsMat(GENmodel *inModel, CKTcircuit *ckt)
{
int InstCount, idx;
BSIM3v32instance **InstArray;
BSIM3v32instance *here;
BSIM3v32model *model = (BSIM3v32model*)inModel;
InstArray = model->BSIM3v32InstanceArray;
InstCount = model->BSIM3v32InstCount;
for (idx = 0; idx < InstCount; idx++) {
here = InstArray[idx];
model = BSIM3v32modPtr(here);
/* Update b for Ax = b */
(*(ckt->CKTrhs + here->BSIM3v32gNode) -= here->BSIM3v32rhsG);
(*(ckt->CKTrhs + here->BSIM3v32bNode) -= here->BSIM3v32rhsB);
(*(ckt->CKTrhs + here->BSIM3v32dNodePrime) += here->BSIM3v32rhsD);
(*(ckt->CKTrhs + here->BSIM3v32sNodePrime) += here->BSIM3v32rhsS);
if (here->BSIM3v32nqsMod)
(*(ckt->CKTrhs + here->BSIM3v32qNode) += here->BSIM3v32rhsQ);
/* Update A for Ax = b */
(*(here->BSIM3v32DdPtr) += here->BSIM3v32DdPt);
(*(here->BSIM3v32GgPtr) += here->BSIM3v32GgPt);
(*(here->BSIM3v32SsPtr) += here->BSIM3v32SsPt);
(*(here->BSIM3v32BbPtr) += here->BSIM3v32BbPt);
(*(here->BSIM3v32DPdpPtr) += here->BSIM3v32DPdpPt);
(*(here->BSIM3v32SPspPtr) += here->BSIM3v32SPspPt);
(*(here->BSIM3v32DdpPtr) -= here->BSIM3v32DdpPt);
(*(here->BSIM3v32GbPtr) -= here->BSIM3v32GbPt);
(*(here->BSIM3v32GdpPtr) += here->BSIM3v32GdpPt);
(*(here->BSIM3v32GspPtr) += here->BSIM3v32GspPt);
(*(here->BSIM3v32SspPtr) -= here->BSIM3v32SspPt);
(*(here->BSIM3v32BgPtr) += here->BSIM3v32BgPt);
(*(here->BSIM3v32BdpPtr) += here->BSIM3v32BdpPt);
(*(here->BSIM3v32BspPtr) += here->BSIM3v32BspPt);
(*(here->BSIM3v32DPdPtr) -= here->BSIM3v32DPdPt);
(*(here->BSIM3v32DPgPtr) += here->BSIM3v32DPgPt);
(*(here->BSIM3v32DPbPtr) -= here->BSIM3v32DPbPt);
(*(here->BSIM3v32DPspPtr) -= here->BSIM3v32DPspPt);
(*(here->BSIM3v32SPgPtr) += here->BSIM3v32SPgPt);
(*(here->BSIM3v32SPsPtr) -= here->BSIM3v32SPsPt);
(*(here->BSIM3v32SPbPtr) -= here->BSIM3v32SPbPt);
(*(here->BSIM3v32SPdpPtr) -= here->BSIM3v32SPdpPt);
if (here->BSIM3v32nqsMod)
{
*(here->BSIM3v32QqPtr) += here->BSIM3v32QqPt;
*(here->BSIM3v32DPqPtr) += here->BSIM3v32DPqPt;
*(here->BSIM3v32SPqPtr) += here->BSIM3v32SPqPt;
*(here->BSIM3v32GqPtr) -= here->BSIM3v32GqPt;
*(here->BSIM3v32QgPtr) += here->BSIM3v32QgPt;
*(here->BSIM3v32QdpPtr) += here->BSIM3v32QdpPt;
*(here->BSIM3v32QspPtr) += here->BSIM3v32QspPt;
*(here->BSIM3v32QbPtr) += here->BSIM3v32QbPt;
}
}
}
#endif
|
libperf_int.h | /**
* Copyright (C) Mellanox Technologies Ltd. 2001-2015. ALL RIGHTS RESERVED.
* Copyright (C) The University of Tennessee and The University
* of Tennessee Research Foundation. 2016. ALL RIGHTS RESERVED.
*
* See file LICENSE for terms.
*/
#ifndef LIBPERF_INT_H_
#define LIBPERF_INT_H_
#include <tools/perf/api/libperf.h>
BEGIN_C_DECLS
/** @file libperf_int.h */
#include <ucs/time/time.h>
#include <ucs/async/async.h>
#if _OPENMP
#include <omp.h>
#endif
#define TIMING_QUEUE_SIZE 2048
#define UCT_PERF_TEST_AM_ID 5
#define ADDR_BUF_SIZE 2048
typedef struct ucx_perf_context ucx_perf_context_t;
typedef struct uct_peer uct_peer_t;
typedef struct ucp_perf_request ucp_perf_request_t;
typedef struct ucx_perf_thread_context ucx_perf_thread_context_t;
struct ucx_perf_allocator {
ucs_memory_type_t mem_type;
ucs_status_t (*init)(ucx_perf_context_t *perf);
ucs_status_t (*ucp_alloc)(const ucx_perf_context_t *perf, size_t length,
void **address_p, ucp_mem_h *memh, int non_blk_flag);
void (*ucp_free)(const ucx_perf_context_t *perf, void *address,
ucp_mem_h memh);
ucs_status_t (*uct_alloc)(const ucx_perf_context_t *perf, size_t length,
unsigned flags, uct_allocated_memory_t *alloc_mem);
void (*uct_free)(const ucx_perf_context_t *perf,
uct_allocated_memory_t *alloc_mem);
void (*memcpy)(void *dst, ucs_memory_type_t dst_mem_type,
const void *src, ucs_memory_type_t src_mem_type,
size_t count);
void* (*memset)(void *dst, int value, size_t count);
};
struct ucx_perf_context {
ucx_perf_params_t params;
/* Buffers */
void *send_buffer;
void *recv_buffer;
/* Measurements */
double start_time_acc; /* accurate start time */
ucs_time_t end_time; /* inaccurate end time (upper bound) */
ucs_time_t prev_time; /* time of previous iteration */
ucs_time_t report_interval; /* interval of showing report */
ucx_perf_counter_t max_iter;
/* Measurements of current/previous **report** */
struct {
ucx_perf_counter_t msgs; /* number of messages */
ucx_perf_counter_t bytes; /* number of bytes */
ucx_perf_counter_t iters; /* number of iterations */
ucs_time_t time; /* inaccurate time (for median and report interval) */
double time_acc; /* accurate time (for avg latency/bw/msgrate) */
} current, prev;
ucs_time_t timing_queue[TIMING_QUEUE_SIZE];
unsigned timing_queue_head;
const ucx_perf_allocator_t *allocator;
union {
struct {
ucs_async_context_t async;
uct_component_h cmpt;
uct_md_h md;
uct_worker_h worker;
uct_iface_h iface;
uct_peer_t *peers;
uct_allocated_memory_t send_mem;
uct_allocated_memory_t recv_mem;
uct_iov_t *iov;
} uct;
struct {
ucp_context_h context;
ucx_perf_thread_context_t* tctx;
ucp_worker_h worker;
ucp_ep_h ep;
ucp_rkey_h rkey;
unsigned long remote_addr;
ucp_mem_h send_memh;
ucp_mem_h recv_memh;
ucp_dt_iov_t *send_iov;
ucp_dt_iov_t *recv_iov;
} ucp;
};
};
struct ucx_perf_thread_context {
pthread_t pt;
int tid;
ucs_status_t status;
ucx_perf_context_t perf;
ucx_perf_result_t result;
};
struct uct_peer {
uct_ep_h ep;
unsigned long remote_addr;
uct_rkey_bundle_t rkey;
};
struct ucp_perf_request {
void *context;
};
#define UCX_PERF_TEST_FOREACH(perf) \
while (!ucx_perf_context_done(perf))
#define rte_call(_perf, _func, ...) \
((_perf)->params.rte->_func((_perf)->params.rte_group, ## __VA_ARGS__))
void ucx_perf_test_start_clock(ucx_perf_context_t *perf);
void uct_perf_ep_flush_b(ucx_perf_context_t *perf, int peer_index);
void uct_perf_iface_flush_b(ucx_perf_context_t *perf);
ucs_status_t uct_perf_test_dispatch(ucx_perf_context_t *perf);
ucs_status_t ucp_perf_test_dispatch(ucx_perf_context_t *perf);
void ucx_perf_calc_result(ucx_perf_context_t *perf, ucx_perf_result_t *result);
void uct_perf_barrier(ucx_perf_context_t *perf);
void ucp_perf_barrier(ucx_perf_context_t *perf);
static UCS_F_ALWAYS_INLINE int ucx_perf_context_done(ucx_perf_context_t *perf)
{
return ucs_unlikely((perf->current.iters >= perf->max_iter) ||
(perf->current.time > perf->end_time));
}
static inline void ucx_perf_get_time(ucx_perf_context_t *perf)
{
perf->current.time_acc = ucs_get_accurate_time();
}
static inline void ucx_perf_omp_barrier(ucx_perf_context_t *perf)
{
#if _OPENMP
if (perf->params.thread_count > 1) {
#pragma omp barrier
}
#endif
}
static inline void ucx_perf_update(ucx_perf_context_t *perf,
ucx_perf_counter_t iters, size_t bytes)
{
ucx_perf_result_t result;
perf->current.time = ucs_get_time();
perf->current.iters += iters;
perf->current.bytes += bytes;
perf->current.msgs += 1;
perf->timing_queue[perf->timing_queue_head] =
perf->current.time - perf->prev_time;
++perf->timing_queue_head;
if (perf->timing_queue_head == TIMING_QUEUE_SIZE) {
perf->timing_queue_head = 0;
}
perf->prev_time = perf->current.time;
if (perf->current.time - perf->prev.time >= perf->report_interval) {
ucx_perf_get_time(perf);
ucx_perf_calc_result(perf, &result);
rte_call(perf, report, &result, perf->params.report_arg, 0, 0);
perf->prev = perf->current;
}
}
/**
* Get the total length of the message size given by parameters
*/
static inline
size_t ucx_perf_get_message_size(const ucx_perf_params_t *params)
{
size_t length, it;
ucs_assert(params->msg_size_list != NULL);
length = 0;
for (it = 0; it < params->msg_size_cnt; ++it) {
length += params->msg_size_list[it];
}
return length;
}
END_C_DECLS
#endif
|
convolution_3x3_pack8.h | // Tencent is pleased to support the open source community by making ncnn available.
//
// Copyright (C) 2019 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 conv3x3s1_winograd64_transform_kernel_pack8_avx(const Mat& kernel, Mat& kernel_tm_pack8, int inch, int outch)
{
// winograd63 transform kernel
Mat kernel_tm;
kernel_tm.create(8 * 8, inch, outch);
const float ktm[8][3] = {
{1.0f, 0.0f, 0.0f},
{-2.0f / 9, -2.0f / 9, -2.0f / 9},
{-2.0f / 9, 2.0f / 9, -2.0f / 9},
{1.0f / 90, 1.0f / 45, 2.0f / 45},
{1.0f / 90, -1.0f / 45, 2.0f / 45},
{1.0f / 45, 1.0f / 90, 1.0f / 180},
{1.0f / 45, -1.0f / 90, 1.0f / 180},
{0.0f, 0.0f, 1.0f}
};
#pragma omp parallel for
for (int p = 0; p < outch; p++)
{
for (int q = 0; q < inch; q++)
{
const float* kernel0 = (const float*)kernel + p * inch * 9 + q * 9;
float* kernel_tm0 = kernel_tm.channel(p).row(q);
// transform kernel, transposed
const float* k0 = kernel0;
const float* k1 = kernel0 + 3;
const float* k2 = kernel0 + 6;
// h
float tmp[8][3];
for (int i = 0; i < 8; i++)
{
tmp[i][0] = k0[0] * ktm[i][0] + k0[1] * ktm[i][1] + k0[2] * ktm[i][2];
tmp[i][1] = k1[0] * ktm[i][0] + k1[1] * ktm[i][1] + k1[2] * ktm[i][2];
tmp[i][2] = k2[0] * ktm[i][0] + k2[1] * ktm[i][1] + k2[2] * ktm[i][2];
}
// v
for (int j = 0; j < 8; j++)
{
float* tmpp = &tmp[j][0];
for (int i = 0; i < 8; i++)
{
kernel_tm0[j * 8 + i] = tmpp[0] * ktm[i][0] + tmpp[1] * ktm[i][1] + tmpp[2] * ktm[i][2];
}
}
}
}
// interleave
// src = 64-inch-outch
// dst = 8b-8a-inch/8a-64-outch/8b;
kernel_tm_pack8.create(inch / 8, 64, outch / 8, (size_t)4u * 64, 64);
int q = 0;
for (; q + 7 < outch; q += 8)
{
const Mat k0 = kernel_tm.channel(q);
const Mat k1 = kernel_tm.channel(q + 1);
const Mat k2 = kernel_tm.channel(q + 2);
const Mat k3 = kernel_tm.channel(q + 3);
const Mat k4 = kernel_tm.channel(q + 4);
const Mat k5 = kernel_tm.channel(q + 5);
const Mat k6 = kernel_tm.channel(q + 6);
const Mat k7 = kernel_tm.channel(q + 7);
Mat g0 = kernel_tm_pack8.channel(q / 8);
for (int k = 0; k < 64; k++)
{
float* g00 = g0.row(k);
for (int p = 0; p + 7 < inch; p += 8)
{
const float* k00 = k0.row(p);
const float* k01 = k0.row(p + 1);
const float* k02 = k0.row(p + 2);
const float* k03 = k0.row(p + 3);
const float* k04 = k0.row(p + 4);
const float* k05 = k0.row(p + 5);
const float* k06 = k0.row(p + 6);
const float* k07 = k0.row(p + 7);
const float* k10 = k1.row(p);
const float* k11 = k1.row(p + 1);
const float* k12 = k1.row(p + 2);
const float* k13 = k1.row(p + 3);
const float* k14 = k1.row(p + 4);
const float* k15 = k1.row(p + 5);
const float* k16 = k1.row(p + 6);
const float* k17 = k1.row(p + 7);
const float* k20 = k2.row(p);
const float* k21 = k2.row(p + 1);
const float* k22 = k2.row(p + 2);
const float* k23 = k2.row(p + 3);
const float* k24 = k2.row(p + 4);
const float* k25 = k2.row(p + 5);
const float* k26 = k2.row(p + 6);
const float* k27 = k2.row(p + 7);
const float* k30 = k3.row(p);
const float* k31 = k3.row(p + 1);
const float* k32 = k3.row(p + 2);
const float* k33 = k3.row(p + 3);
const float* k34 = k3.row(p + 4);
const float* k35 = k3.row(p + 5);
const float* k36 = k3.row(p + 6);
const float* k37 = k3.row(p + 7);
const float* k40 = k4.row(p);
const float* k41 = k4.row(p + 1);
const float* k42 = k4.row(p + 2);
const float* k43 = k4.row(p + 3);
const float* k44 = k4.row(p + 4);
const float* k45 = k4.row(p + 5);
const float* k46 = k4.row(p + 6);
const float* k47 = k4.row(p + 7);
const float* k50 = k5.row(p);
const float* k51 = k5.row(p + 1);
const float* k52 = k5.row(p + 2);
const float* k53 = k5.row(p + 3);
const float* k54 = k5.row(p + 4);
const float* k55 = k5.row(p + 5);
const float* k56 = k5.row(p + 6);
const float* k57 = k5.row(p + 7);
const float* k60 = k6.row(p);
const float* k61 = k6.row(p + 1);
const float* k62 = k6.row(p + 2);
const float* k63 = k6.row(p + 3);
const float* k64 = k6.row(p + 4);
const float* k65 = k6.row(p + 5);
const float* k66 = k6.row(p + 6);
const float* k67 = k6.row(p + 7);
const float* k70 = k7.row(p);
const float* k71 = k7.row(p + 1);
const float* k72 = k7.row(p + 2);
const float* k73 = k7.row(p + 3);
const float* k74 = k7.row(p + 4);
const float* k75 = k7.row(p + 5);
const float* k76 = k7.row(p + 6);
const float* k77 = k7.row(p + 7);
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] = k01[k];
g00[9] = k11[k];
g00[10] = k21[k];
g00[11] = k31[k];
g00[12] = k41[k];
g00[13] = k51[k];
g00[14] = k61[k];
g00[15] = k71[k];
g00[16] = k02[k];
g00[17] = k12[k];
g00[18] = k22[k];
g00[19] = k32[k];
g00[20] = k42[k];
g00[21] = k52[k];
g00[22] = k62[k];
g00[23] = k72[k];
g00[24] = k03[k];
g00[25] = k13[k];
g00[26] = k23[k];
g00[27] = k33[k];
g00[28] = k43[k];
g00[29] = k53[k];
g00[30] = k63[k];
g00[31] = k73[k];
g00[32] = k04[k];
g00[33] = k14[k];
g00[34] = k24[k];
g00[35] = k34[k];
g00[36] = k44[k];
g00[37] = k54[k];
g00[38] = k64[k];
g00[39] = k74[k];
g00[40] = k05[k];
g00[41] = k15[k];
g00[42] = k25[k];
g00[43] = k35[k];
g00[44] = k45[k];
g00[45] = k55[k];
g00[46] = k65[k];
g00[47] = k75[k];
g00[48] = k06[k];
g00[49] = k16[k];
g00[50] = k26[k];
g00[51] = k36[k];
g00[52] = k46[k];
g00[53] = k56[k];
g00[54] = k66[k];
g00[55] = k76[k];
g00[56] = k07[k];
g00[57] = k17[k];
g00[58] = k27[k];
g00[59] = k37[k];
g00[60] = k47[k];
g00[61] = k57[k];
g00[62] = k67[k];
g00[63] = k77[k];
g00 += 64;
}
}
}
}
static void conv3x3s1_winograd64_pack8_avx(const Mat& bottom_blob, Mat& top_blob, const Mat& kernel_tm, const Mat& _bias, const Option& opt)
{
int w = bottom_blob.w;
int h = bottom_blob.h;
int inch = bottom_blob.c;
size_t elemsize = bottom_blob.elemsize;
int elempack = bottom_blob.elempack;
int outw = top_blob.w;
int outh = top_blob.h;
int outch = top_blob.c;
// pad to 6n+2
Mat bottom_blob_bordered = bottom_blob;
outw = (outw + 5) / 6 * 6;
outh = (outh + 5) / 6 * 6;
w = outw + 2;
h = outh + 2;
copy_make_border(bottom_blob, bottom_blob_bordered, 0, h - bottom_blob.h, 0, w - bottom_blob.w, BORDER_CONSTANT, 0.f, opt);
const float* bias = _bias;
// BEGIN transform input
Mat bottom_blob_tm;
{
int w_tm = outw / 6 * 8;
int h_tm = outh / 6 * 8;
const int tiles = w_tm / 8 * h_tm / 8;
bottom_blob_tm.create(tiles, 64, inch, elemsize, elempack, opt.workspace_allocator);
// const float itm[8][8] = {
// {1.0f, 0.0f, -5.25f, 0.00f, 5.25f, 0.00f, -1.0f, 0.0f},
//
// {0.0f, 1.0f, 1.00f, -4.25f, -4.25f, 1.00f, 1.0f, 0.0f},
// {0.0f, -1.0f, 1.00f, 4.25f, -4.25f, -1.00f, 1.0f, 0.0f},
//
// {0.0f, 0.5f, 0.25f, -2.50f, -1.25f, 2.00f, 1.0f, 0.0f},
// {0.0f, -0.5f, 0.25f, 2.50f, -1.25f, -2.00f, 1.0f, 0.0f},
//
// {0.0f, 2.0f, 4.00f, -2.50f, -5.00f, 0.50f, 1.0f, 0.0f},
// {0.0f, -2.0f, 4.00f, 2.50f, -5.00f, -0.50f, 1.0f, 0.0f},
//
// {0.0f, -1.0f, 0.00f, 5.25f, 0.00f, -5.25f, 0.0f, 1.0f}
// };
// 0 = r00 - r06 + (r04 - r02) * 5.25
// 7 = r07 - r01 + (r03 - r05) * 5.25
// 1 = (r02 + r06 - r04 * 4.25) + (r01 - r03 * 4.25 + r05)
// 2 = (r02 + r06 - r04 * 4.25) - (r01 - r03 * 4.25 + r05)
// 3 = (r06 + r02 * 0.25 - r04 * 1.25) + (r01 * 0.5 - r03 * 2.5 + r05 * 2)
// 4 = (r06 + r02 * 0.25 - r04 * 1.25) - (r01 * 0.5 - r03 * 2.5 + r05 * 2)
// reuse r04 * 1.25
// reuse r03 * 2.5
// 5 = (r06 + (r02 - r04 * 1.25) * 4) + (r01 * 2 - r03 * 2.5 + r05 * 0.5)
// 6 = (r06 + (r02 - r04 * 1.25) * 4) - (r01 * 2 - r03 * 2.5 + r05 * 0.5)
#pragma omp parallel for num_threads(opt.num_threads)
for (int q = 0; q < inch; q++)
{
const Mat img0 = bottom_blob_bordered.channel(q);
Mat img0_tm = bottom_blob_tm.channel(q);
float tmp[8][8][8];
// tile
for (int i = 0; i < h_tm / 8; i++)
{
for (int j = 0; j < w_tm / 8; j++)
{
const float* r0 = img0.row(i * 6) + (j * 6) * 8;
for (int m = 0; m < 8; m++)
{
__m256 _r00 = _mm256_loadu_ps(r0);
__m256 _r01 = _mm256_loadu_ps(r0 + 8);
__m256 _r02 = _mm256_loadu_ps(r0 + 16);
__m256 _r03 = _mm256_loadu_ps(r0 + 24);
__m256 _r04 = _mm256_loadu_ps(r0 + 32);
__m256 _r05 = _mm256_loadu_ps(r0 + 40);
__m256 _r06 = _mm256_loadu_ps(r0 + 48);
__m256 _r07 = _mm256_loadu_ps(r0 + 56);
__m256 _tmp0m = _mm256_fmadd_1_ps(_mm256_sub_ps(_r00, _r06), _mm256_sub_ps(_r04, _r02), 5.25f);
__m256 _tmp7m = _mm256_fmadd_1_ps(_mm256_sub_ps(_r07, _r01), _mm256_sub_ps(_r03, _r05), 5.25f);
_mm256_storeu_ps(tmp[0][m], _tmp0m);
_mm256_storeu_ps(tmp[7][m], _tmp7m);
// tmp[0][m] = r0[0] - r0[6] + (r0[4] - r0[2]) * 5.25;
// tmp[7][m] = r0[7] - r0[1] + (r0[3] - r0[5]) * 5.25;
__m256 _tmp12a = _mm256_fmrsub_1_ps(_mm256_add_ps(_r02, _r06), _r04, 4.25f);
__m256 _tmp12b = _mm256_fmrsub_1_ps(_mm256_add_ps(_r01, _r05), _r03, 4.25f);
// float tmp12a = (r0[2] + r0[6] - r0[4] * 4.25);
// float tmp12b = (r0[1] + r0[5] - r0[3] * 4.25);
__m256 _tmp1m = _mm256_add_ps(_tmp12a, _tmp12b);
__m256 _tmp2m = _mm256_sub_ps(_tmp12a, _tmp12b);
_mm256_storeu_ps(tmp[1][m], _tmp1m);
_mm256_storeu_ps(tmp[2][m], _tmp2m);
// tmp[1][m] = tmp12a + tmp12b;
// tmp[2][m] = tmp12a - tmp12b;
__m256 _tmp34a = _mm256_fmrsub_1_ps(_mm256_fmadd_1_ps(_r06, _r02, 0.25f), _r04, 1.25f);
__m256 _tmp34b = _mm256_fmadd_1_ps(_mm256_fmrsub_1_ps(_mm256_mul_ps(_r01, _mm256_set1_ps(0.5f)), _r03, 2.5f), _r05, 2.f);
// float tmp34a = (r0[6] + r0[2] * 0.25 - r0[4] * 1.25);
// float tmp34b = (r0[1] * 0.5 - r0[3] * 2.5 + r0[5] * 2);
__m256 _tmp3m = _mm256_add_ps(_tmp34a, _tmp34b);
__m256 _tmp4m = _mm256_sub_ps(_tmp34a, _tmp34b);
_mm256_storeu_ps(tmp[3][m], _tmp3m);
_mm256_storeu_ps(tmp[4][m], _tmp4m);
// tmp[3][m] = tmp34a + tmp34b;
// tmp[4][m] = tmp34a - tmp34b;
__m256 _tmp56a = _mm256_fmadd_1_ps(_r06, _mm256_fmrsub_1_ps(_r02, _r04, 1.25f), 4.f);
__m256 _tmp56b = _mm256_fmadd_1_ps(_mm256_fmrsub_1_ps(_mm256_mul_ps(_r01, _mm256_set1_ps(2.f)), _r03, 2.5f), _r05, 0.5f);
// float tmp56a = (r0[6] + (r0[2] - r0[4] * 1.25) * 4);
// float tmp56b = (r0[1] * 2 - r0[3] * 2.5 + r0[5] * 0.5);
__m256 _tmp5m = _mm256_add_ps(_tmp56a, _tmp56b);
__m256 _tmp6m = _mm256_sub_ps(_tmp56a, _tmp56b);
_mm256_storeu_ps(tmp[5][m], _tmp5m);
_mm256_storeu_ps(tmp[6][m], _tmp6m);
// tmp[5][m] = tmp56a + tmp56b;
// tmp[6][m] = tmp56a - tmp56b;
r0 += w * 8;
}
float* r0_tm_0 = (float*)img0_tm + (i * w_tm / 8 + j) * 8;
float* r0_tm_1 = r0_tm_0 + tiles * 8;
float* r0_tm_2 = r0_tm_0 + tiles * 16;
float* r0_tm_3 = r0_tm_0 + tiles * 24;
float* r0_tm_4 = r0_tm_0 + tiles * 32;
float* r0_tm_5 = r0_tm_0 + tiles * 40;
float* r0_tm_6 = r0_tm_0 + tiles * 48;
float* r0_tm_7 = r0_tm_0 + tiles * 56;
for (int m = 0; m < 8; m++)
{
__m256 _tmp00 = _mm256_loadu_ps(tmp[m][0]);
__m256 _tmp01 = _mm256_loadu_ps(tmp[m][1]);
__m256 _tmp02 = _mm256_loadu_ps(tmp[m][2]);
__m256 _tmp03 = _mm256_loadu_ps(tmp[m][3]);
__m256 _tmp04 = _mm256_loadu_ps(tmp[m][4]);
__m256 _tmp05 = _mm256_loadu_ps(tmp[m][5]);
__m256 _tmp06 = _mm256_loadu_ps(tmp[m][6]);
__m256 _tmp07 = _mm256_loadu_ps(tmp[m][7]);
__m256 _r0tm0 = _mm256_fmadd_1_ps(_mm256_sub_ps(_tmp00, _tmp06), _mm256_sub_ps(_tmp04, _tmp02), 5.25f);
__m256 _r0tm7 = _mm256_fmadd_1_ps(_mm256_sub_ps(_tmp07, _tmp01), _mm256_sub_ps(_tmp03, _tmp05), 5.25f);
// r0_tm[0] = tmp0[0] - tmp0[6] + (tmp0[4] - tmp0[2]) * 5.25;
// r0_tm[7] = tmp0[7] - tmp0[1] + (tmp0[3] - tmp0[5]) * 5.25;
__m256 _tmp12a = _mm256_fmrsub_1_ps(_mm256_add_ps(_tmp02, _tmp06), _tmp04, 4.25f);
__m256 _tmp12b = _mm256_fmrsub_1_ps(_mm256_add_ps(_tmp01, _tmp05), _tmp03, 4.25f);
// float tmp12a = (tmp0[2] + tmp0[6] - tmp0[4] * 4.25);
// float tmp12b = (tmp0[1] + tmp0[5] - tmp0[3] * 4.25);
__m256 _r0tm1 = _mm256_add_ps(_tmp12a, _tmp12b);
__m256 _r0tm2 = _mm256_sub_ps(_tmp12a, _tmp12b);
// r0_tm[1] = tmp12a + tmp12b;
// r0_tm[2] = tmp12a - tmp12b;
__m256 _tmp34a = _mm256_fmrsub_1_ps(_mm256_fmadd_1_ps(_tmp06, _tmp02, 0.25f), _tmp04, 1.25f);
__m256 _tmp34b = _mm256_fmadd_1_ps(_mm256_fmrsub_1_ps(_mm256_mul_ps(_tmp01, _mm256_set1_ps(0.5f)), _tmp03, 2.5f), _tmp05, 2.f);
// float tmp34a = (tmp0[6] + tmp0[2] * 0.25 - tmp0[4] * 1.25);
// float tmp34b = (tmp0[1] * 0.5 - tmp0[3] * 2.5 + tmp0[5] * 2);
__m256 _r0tm3 = _mm256_add_ps(_tmp34a, _tmp34b);
__m256 _r0tm4 = _mm256_sub_ps(_tmp34a, _tmp34b);
// r0_tm[3] = tmp34a + tmp34b;
// r0_tm[4] = tmp34a - tmp34b;
__m256 _tmp56a = _mm256_fmadd_1_ps(_tmp06, _mm256_fmrsub_1_ps(_tmp02, _tmp04, 1.25f), 4.f);
__m256 _tmp56b = _mm256_fmadd_1_ps(_mm256_fmrsub_1_ps(_mm256_mul_ps(_tmp01, _mm256_set1_ps(2.f)), _tmp03, 2.5f), _tmp05, 0.5f);
// float tmp56a = (tmp0[6] + (tmp0[2] - tmp0[4] * 1.25) * 4);
// float tmp56b = (tmp0[1] * 2 - tmp0[3] * 2.5 + tmp0[5] * 0.5);
__m256 _r0tm5 = _mm256_add_ps(_tmp56a, _tmp56b);
__m256 _r0tm6 = _mm256_sub_ps(_tmp56a, _tmp56b);
// r0_tm[5] = tmp56a + tmp56b;
// r0_tm[6] = tmp56a - tmp56b;
_mm256_storeu_ps(r0_tm_0, _r0tm0);
_mm256_storeu_ps(r0_tm_1, _r0tm1);
_mm256_storeu_ps(r0_tm_2, _r0tm2);
_mm256_storeu_ps(r0_tm_3, _r0tm3);
_mm256_storeu_ps(r0_tm_4, _r0tm4);
_mm256_storeu_ps(r0_tm_5, _r0tm5);
_mm256_storeu_ps(r0_tm_6, _r0tm6);
_mm256_storeu_ps(r0_tm_7, _r0tm7);
r0_tm_0 += tiles * 64;
r0_tm_1 += tiles * 64;
r0_tm_2 += tiles * 64;
r0_tm_3 += tiles * 64;
r0_tm_4 += tiles * 64;
r0_tm_5 += tiles * 64;
r0_tm_6 += tiles * 64;
r0_tm_7 += tiles * 64;
}
}
}
}
}
bottom_blob_bordered = Mat();
// END transform input
// BEGIN dot
Mat top_blob_tm;
{
int w_tm = outw / 6 * 8;
int h_tm = outh / 6 * 8;
const int tiles = h_tm / 8 * w_tm / 8;
Mat bottom_blob_tm2;
if (tiles >= 12)
bottom_blob_tm2.create(12 * inch, tiles / 12 + (tiles % 12) / 8 + (tiles % 12 % 8) / 4 + (tiles % 12 % 4) / 2 + tiles % 12 % 2, 64, elemsize, elempack, opt.workspace_allocator);
else if (tiles >= 8)
bottom_blob_tm2.create(8 * inch, tiles / 8 + (tiles % 8) / 4 + (tiles % 4) / 2 + tiles % 2, 64, elemsize, elempack, opt.workspace_allocator);
else if (tiles >= 4)
bottom_blob_tm2.create(4 * inch, tiles / 4 + (tiles % 4) / 2 + tiles % 2, 64, elemsize, elempack, opt.workspace_allocator);
else if (tiles >= 2)
bottom_blob_tm2.create(2 * inch, tiles / 2 + tiles % 2, 64, elemsize, elempack, opt.workspace_allocator);
else // if (tiles >= 1)
bottom_blob_tm2.create(1 * inch, tiles, 64, elemsize, elempack, opt.workspace_allocator);
#pragma omp parallel for num_threads(opt.num_threads)
for (int r = 0; r < 64; r++)
{
Mat tm2 = bottom_blob_tm2.channel(r);
// tile
int i = 0;
for (; i + 11 < tiles; i += 12)
{
float* tm2p = tm2.row(i / 12);
const float* r0 = bottom_blob_tm;
r0 += (r * tiles + i) * 8;
for (int q = 0; q < inch; q++)
{
__m256 _r0 = _mm256_loadu_ps(r0);
__m256 _r1 = _mm256_loadu_ps(r0 + 8);
__m256 _r2 = _mm256_loadu_ps(r0 + 16);
__m256 _r3 = _mm256_loadu_ps(r0 + 24);
__m256 _r4 = _mm256_loadu_ps(r0 + 32);
__m256 _r5 = _mm256_loadu_ps(r0 + 40);
__m256 _r6 = _mm256_loadu_ps(r0 + 48);
__m256 _r7 = _mm256_loadu_ps(r0 + 56);
__m256 _r8 = _mm256_loadu_ps(r0 + 64);
__m256 _r9 = _mm256_loadu_ps(r0 + 72);
__m256 _r10 = _mm256_loadu_ps(r0 + 80);
__m256 _r11 = _mm256_loadu_ps(r0 + 88);
_mm256_storeu_ps(tm2p, _r0);
_mm256_storeu_ps(tm2p + 8, _r1);
_mm256_storeu_ps(tm2p + 16, _r2);
_mm256_storeu_ps(tm2p + 24, _r3);
_mm256_storeu_ps(tm2p + 32, _r4);
_mm256_storeu_ps(tm2p + 40, _r5);
_mm256_storeu_ps(tm2p + 48, _r6);
_mm256_storeu_ps(tm2p + 56, _r7);
_mm256_storeu_ps(tm2p + 64, _r8);
_mm256_storeu_ps(tm2p + 72, _r9);
_mm256_storeu_ps(tm2p + 80, _r10);
_mm256_storeu_ps(tm2p + 88, _r11);
tm2p += 96;
r0 += bottom_blob_tm.cstep * 8;
}
}
for (; i + 7 < tiles; i += 8)
{
float* tm2p = tm2.row(i / 12 + (i % 12) / 8);
const float* r0 = bottom_blob_tm;
r0 += (r * tiles + i) * 8;
for (int q = 0; q < inch; q++)
{
__m256 _r0 = _mm256_loadu_ps(r0);
__m256 _r1 = _mm256_loadu_ps(r0 + 8);
__m256 _r2 = _mm256_loadu_ps(r0 + 16);
__m256 _r3 = _mm256_loadu_ps(r0 + 24);
_mm256_storeu_ps(tm2p, _r0);
_mm256_storeu_ps(tm2p + 8, _r1);
_mm256_storeu_ps(tm2p + 16, _r2);
_mm256_storeu_ps(tm2p + 24, _r3);
__m256 _r4 = _mm256_loadu_ps(r0 + 32);
__m256 _r5 = _mm256_loadu_ps(r0 + 40);
__m256 _r6 = _mm256_loadu_ps(r0 + 48);
__m256 _r7 = _mm256_loadu_ps(r0 + 56);
_mm256_storeu_ps(tm2p + 32, _r4);
_mm256_storeu_ps(tm2p + 40, _r5);
_mm256_storeu_ps(tm2p + 48, _r6);
_mm256_storeu_ps(tm2p + 56, _r7);
tm2p += 64;
r0 += bottom_blob_tm.cstep * 8;
}
}
for (; i + 3 < tiles; i += 4)
{
float* tm2p = tm2.row(i / 12 + (i % 12) / 8 + (i % 12 % 8) / 4);
const float* r0 = bottom_blob_tm;
r0 += (r * tiles + i) * 8;
for (int q = 0; q < inch; q++)
{
__m256 _r0 = _mm256_loadu_ps(r0);
__m256 _r1 = _mm256_loadu_ps(r0 + 8);
_mm256_storeu_ps(tm2p, _r0);
_mm256_storeu_ps(tm2p + 8, _r1);
__m256 _r2 = _mm256_loadu_ps(r0 + 16);
__m256 _r3 = _mm256_loadu_ps(r0 + 24);
_mm256_storeu_ps(tm2p + 16, _r2);
_mm256_storeu_ps(tm2p + 24, _r3);
tm2p += 32;
r0 += bottom_blob_tm.cstep * 8;
}
}
for (; i + 1 < tiles; i += 2)
{
float* tm2p = tm2.row(i / 12 + (i % 12) / 8 + (i % 12 % 8) / 4 + (i % 12 % 4) / 2);
const float* r0 = bottom_blob_tm;
r0 += (r * tiles + i) * 8;
for (int q = 0; q < inch; q++)
{
__m256 _r0 = _mm256_loadu_ps(r0);
__m256 _r1 = _mm256_loadu_ps(r0 + 8);
_mm256_storeu_ps(tm2p, _r0);
_mm256_storeu_ps(tm2p + 8, _r1);
tm2p += 16;
r0 += bottom_blob_tm.cstep * 8;
}
}
for (; i < tiles; i++)
{
float* tm2p = tm2.row(i / 12 + (i % 12) / 8 + (i % 12 % 8) / 4 + (i % 12 % 4) / 2 + i % 12 % 2);
const float* r0 = bottom_blob_tm;
r0 += (r * tiles + i) * 8;
for (int q = 0; q < inch; q++)
{
__m256 _r0 = _mm256_loadu_ps(r0);
_mm256_storeu_ps(tm2p, _r0);
tm2p += 8;
r0 += bottom_blob_tm.cstep * 8;
}
}
}
bottom_blob_tm = Mat();
// permute end
top_blob_tm.create(tiles, 64, outch, elemsize, elempack, opt.workspace_allocator);
#pragma omp parallel for num_threads(opt.num_threads)
for (int p = 0; p < outch; p++)
{
float* output0_tm = top_blob_tm.channel(p);
const Mat kernel0_tm = kernel_tm.channel(p);
for (int r = 0; r < 64; r++)
{
const Mat bb2 = bottom_blob_tm2.channel(r);
int i = 0;
for (; i + 11 < tiles; i += 12)
{
const float* r0 = bb2.row(i / 12);
const float* k01 = kernel0_tm.row(r);
int nn = inch; // inch always > 0
__m256 _sum0 = _mm256_set1_ps(0.f);
__m256 _sum1 = _mm256_set1_ps(0.f);
__m256 _sum2 = _mm256_set1_ps(0.f);
__m256 _sum3 = _mm256_set1_ps(0.f);
__m256 _sum4 = _mm256_set1_ps(0.f);
__m256 _sum5 = _mm256_set1_ps(0.f);
__m256 _sum6 = _mm256_set1_ps(0.f);
__m256 _sum7 = _mm256_set1_ps(0.f);
__m256 _sum8 = _mm256_set1_ps(0.f);
__m256 _sum9 = _mm256_set1_ps(0.f);
__m256 _sum10 = _mm256_set1_ps(0.f);
__m256 _sum11 = _mm256_set1_ps(0.f);
for (; nn > 0; nn--)
{
__m256 _k01 = _mm256_loadu_ps(k01);
__m256 _r00 = _mm256_broadcast_ss(r0 + 0);
__m256 _r01 = _mm256_broadcast_ss(r0 + 8);
__m256 _r02 = _mm256_broadcast_ss(r0 + 16);
__m256 _r03 = _mm256_broadcast_ss(r0 + 24);
_sum0 = _mm256_fmadd_ps(_k01, _r00, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_sum2 = _mm256_fmadd_ps(_k01, _r02, _sum2);
_sum3 = _mm256_fmadd_ps(_k01, _r03, _sum3);
__m256 _r04 = _mm256_broadcast_ss(r0 + 32);
__m256 _r05 = _mm256_broadcast_ss(r0 + 40);
__m256 _r06 = _mm256_broadcast_ss(r0 + 48);
__m256 _r07 = _mm256_broadcast_ss(r0 + 56);
_sum4 = _mm256_fmadd_ps(_k01, _r04, _sum4);
_sum5 = _mm256_fmadd_ps(_k01, _r05, _sum5);
_sum6 = _mm256_fmadd_ps(_k01, _r06, _sum6);
_sum7 = _mm256_fmadd_ps(_k01, _r07, _sum7);
__m256 _r08 = _mm256_broadcast_ss(r0 + 64);
__m256 _r09 = _mm256_broadcast_ss(r0 + 72);
__m256 _r010 = _mm256_broadcast_ss(r0 + 80);
__m256 _r011 = _mm256_broadcast_ss(r0 + 88);
_sum8 = _mm256_fmadd_ps(_k01, _r08, _sum8);
_sum9 = _mm256_fmadd_ps(_k01, _r09, _sum9);
_sum10 = _mm256_fmadd_ps(_k01, _r010, _sum10);
_sum11 = _mm256_fmadd_ps(_k01, _r011, _sum11);
_k01 = _mm256_loadu_ps(k01 + 8);
_r00 = _mm256_broadcast_ss(r0 + 1);
_r01 = _mm256_broadcast_ss(r0 + 9);
_r02 = _mm256_broadcast_ss(r0 + 17);
_r03 = _mm256_broadcast_ss(r0 + 25);
_sum0 = _mm256_fmadd_ps(_k01, _r00, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_sum2 = _mm256_fmadd_ps(_k01, _r02, _sum2);
_sum3 = _mm256_fmadd_ps(_k01, _r03, _sum3);
_r04 = _mm256_broadcast_ss(r0 + 33);
_r05 = _mm256_broadcast_ss(r0 + 41);
_r06 = _mm256_broadcast_ss(r0 + 49);
_r07 = _mm256_broadcast_ss(r0 + 57);
_sum4 = _mm256_fmadd_ps(_k01, _r04, _sum4);
_sum5 = _mm256_fmadd_ps(_k01, _r05, _sum5);
_sum6 = _mm256_fmadd_ps(_k01, _r06, _sum6);
_sum7 = _mm256_fmadd_ps(_k01, _r07, _sum7);
_r08 = _mm256_broadcast_ss(r0 + 65);
_r09 = _mm256_broadcast_ss(r0 + 73);
_r010 = _mm256_broadcast_ss(r0 + 81);
_r011 = _mm256_broadcast_ss(r0 + 89);
_sum8 = _mm256_fmadd_ps(_k01, _r08, _sum8);
_sum9 = _mm256_fmadd_ps(_k01, _r09, _sum9);
_sum10 = _mm256_fmadd_ps(_k01, _r010, _sum10);
_sum11 = _mm256_fmadd_ps(_k01, _r011, _sum11);
_k01 = _mm256_loadu_ps(k01 + 16);
_r00 = _mm256_broadcast_ss(r0 + 2);
_r01 = _mm256_broadcast_ss(r0 + 10);
_r02 = _mm256_broadcast_ss(r0 + 18);
_r03 = _mm256_broadcast_ss(r0 + 26);
_sum0 = _mm256_fmadd_ps(_k01, _r00, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_sum2 = _mm256_fmadd_ps(_k01, _r02, _sum2);
_sum3 = _mm256_fmadd_ps(_k01, _r03, _sum3);
_r04 = _mm256_broadcast_ss(r0 + 34);
_r05 = _mm256_broadcast_ss(r0 + 42);
_r06 = _mm256_broadcast_ss(r0 + 50);
_r07 = _mm256_broadcast_ss(r0 + 58);
_sum4 = _mm256_fmadd_ps(_k01, _r04, _sum4);
_sum5 = _mm256_fmadd_ps(_k01, _r05, _sum5);
_sum6 = _mm256_fmadd_ps(_k01, _r06, _sum6);
_sum7 = _mm256_fmadd_ps(_k01, _r07, _sum7);
_r08 = _mm256_broadcast_ss(r0 + 66);
_r09 = _mm256_broadcast_ss(r0 + 74);
_r010 = _mm256_broadcast_ss(r0 + 82);
_r011 = _mm256_broadcast_ss(r0 + 90);
_sum8 = _mm256_fmadd_ps(_k01, _r08, _sum8);
_sum9 = _mm256_fmadd_ps(_k01, _r09, _sum9);
_sum10 = _mm256_fmadd_ps(_k01, _r010, _sum10);
_sum11 = _mm256_fmadd_ps(_k01, _r011, _sum11);
_k01 = _mm256_loadu_ps(k01 + 24);
_r00 = _mm256_broadcast_ss(r0 + 3);
_r01 = _mm256_broadcast_ss(r0 + 11);
_r02 = _mm256_broadcast_ss(r0 + 19);
_r03 = _mm256_broadcast_ss(r0 + 27);
_sum0 = _mm256_fmadd_ps(_k01, _r00, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_sum2 = _mm256_fmadd_ps(_k01, _r02, _sum2);
_sum3 = _mm256_fmadd_ps(_k01, _r03, _sum3);
_r04 = _mm256_broadcast_ss(r0 + 35);
_r05 = _mm256_broadcast_ss(r0 + 43);
_r06 = _mm256_broadcast_ss(r0 + 51);
_r07 = _mm256_broadcast_ss(r0 + 59);
_sum4 = _mm256_fmadd_ps(_k01, _r04, _sum4);
_sum5 = _mm256_fmadd_ps(_k01, _r05, _sum5);
_sum6 = _mm256_fmadd_ps(_k01, _r06, _sum6);
_sum7 = _mm256_fmadd_ps(_k01, _r07, _sum7);
_r08 = _mm256_broadcast_ss(r0 + 67);
_r09 = _mm256_broadcast_ss(r0 + 75);
_r010 = _mm256_broadcast_ss(r0 + 83);
_r011 = _mm256_broadcast_ss(r0 + 91);
_sum8 = _mm256_fmadd_ps(_k01, _r08, _sum8);
_sum9 = _mm256_fmadd_ps(_k01, _r09, _sum9);
_sum10 = _mm256_fmadd_ps(_k01, _r010, _sum10);
_sum11 = _mm256_fmadd_ps(_k01, _r011, _sum11);
_k01 = _mm256_loadu_ps(k01 + 32);
_r00 = _mm256_broadcast_ss(r0 + 4);
_r01 = _mm256_broadcast_ss(r0 + 12);
_r02 = _mm256_broadcast_ss(r0 + 20);
_r03 = _mm256_broadcast_ss(r0 + 28);
_sum0 = _mm256_fmadd_ps(_k01, _r00, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_sum2 = _mm256_fmadd_ps(_k01, _r02, _sum2);
_sum3 = _mm256_fmadd_ps(_k01, _r03, _sum3);
_r04 = _mm256_broadcast_ss(r0 + 36);
_r05 = _mm256_broadcast_ss(r0 + 44);
_r06 = _mm256_broadcast_ss(r0 + 52);
_r07 = _mm256_broadcast_ss(r0 + 60);
_sum4 = _mm256_fmadd_ps(_k01, _r04, _sum4);
_sum5 = _mm256_fmadd_ps(_k01, _r05, _sum5);
_sum6 = _mm256_fmadd_ps(_k01, _r06, _sum6);
_sum7 = _mm256_fmadd_ps(_k01, _r07, _sum7);
_r08 = _mm256_broadcast_ss(r0 + 68);
_r09 = _mm256_broadcast_ss(r0 + 76);
_r010 = _mm256_broadcast_ss(r0 + 84);
_r011 = _mm256_broadcast_ss(r0 + 92);
_sum8 = _mm256_fmadd_ps(_k01, _r08, _sum8);
_sum9 = _mm256_fmadd_ps(_k01, _r09, _sum9);
_sum10 = _mm256_fmadd_ps(_k01, _r010, _sum10);
_sum11 = _mm256_fmadd_ps(_k01, _r011, _sum11);
_k01 = _mm256_loadu_ps(k01 + 40);
_r00 = _mm256_broadcast_ss(r0 + 5);
_r01 = _mm256_broadcast_ss(r0 + 13);
_r02 = _mm256_broadcast_ss(r0 + 21);
_r03 = _mm256_broadcast_ss(r0 + 29);
_sum0 = _mm256_fmadd_ps(_k01, _r00, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_sum2 = _mm256_fmadd_ps(_k01, _r02, _sum2);
_sum3 = _mm256_fmadd_ps(_k01, _r03, _sum3);
_r04 = _mm256_broadcast_ss(r0 + 37);
_r05 = _mm256_broadcast_ss(r0 + 45);
_r06 = _mm256_broadcast_ss(r0 + 53);
_r07 = _mm256_broadcast_ss(r0 + 61);
_sum4 = _mm256_fmadd_ps(_k01, _r04, _sum4);
_sum5 = _mm256_fmadd_ps(_k01, _r05, _sum5);
_sum6 = _mm256_fmadd_ps(_k01, _r06, _sum6);
_sum7 = _mm256_fmadd_ps(_k01, _r07, _sum7);
_r08 = _mm256_broadcast_ss(r0 + 69);
_r09 = _mm256_broadcast_ss(r0 + 77);
_r010 = _mm256_broadcast_ss(r0 + 85);
_r011 = _mm256_broadcast_ss(r0 + 93);
_sum8 = _mm256_fmadd_ps(_k01, _r08, _sum8);
_sum9 = _mm256_fmadd_ps(_k01, _r09, _sum9);
_sum10 = _mm256_fmadd_ps(_k01, _r010, _sum10);
_sum11 = _mm256_fmadd_ps(_k01, _r011, _sum11);
_k01 = _mm256_loadu_ps(k01 + 48);
_r00 = _mm256_broadcast_ss(r0 + 6);
_r01 = _mm256_broadcast_ss(r0 + 14);
_r02 = _mm256_broadcast_ss(r0 + 22);
_r03 = _mm256_broadcast_ss(r0 + 30);
_sum0 = _mm256_fmadd_ps(_k01, _r00, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_sum2 = _mm256_fmadd_ps(_k01, _r02, _sum2);
_sum3 = _mm256_fmadd_ps(_k01, _r03, _sum3);
_r04 = _mm256_broadcast_ss(r0 + 38);
_r05 = _mm256_broadcast_ss(r0 + 46);
_r06 = _mm256_broadcast_ss(r0 + 54);
_r07 = _mm256_broadcast_ss(r0 + 62);
_sum4 = _mm256_fmadd_ps(_k01, _r04, _sum4);
_sum5 = _mm256_fmadd_ps(_k01, _r05, _sum5);
_sum6 = _mm256_fmadd_ps(_k01, _r06, _sum6);
_sum7 = _mm256_fmadd_ps(_k01, _r07, _sum7);
_r08 = _mm256_broadcast_ss(r0 + 70);
_r09 = _mm256_broadcast_ss(r0 + 78);
_r010 = _mm256_broadcast_ss(r0 + 86);
_r011 = _mm256_broadcast_ss(r0 + 94);
_sum8 = _mm256_fmadd_ps(_k01, _r08, _sum8);
_sum9 = _mm256_fmadd_ps(_k01, _r09, _sum9);
_sum10 = _mm256_fmadd_ps(_k01, _r010, _sum10);
_sum11 = _mm256_fmadd_ps(_k01, _r011, _sum11);
_k01 = _mm256_loadu_ps(k01 + 56);
_r00 = _mm256_broadcast_ss(r0 + 7);
_r01 = _mm256_broadcast_ss(r0 + 15);
_r02 = _mm256_broadcast_ss(r0 + 23);
_r03 = _mm256_broadcast_ss(r0 + 31);
_sum0 = _mm256_fmadd_ps(_k01, _r00, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_sum2 = _mm256_fmadd_ps(_k01, _r02, _sum2);
_sum3 = _mm256_fmadd_ps(_k01, _r03, _sum3);
_r04 = _mm256_broadcast_ss(r0 + 39);
_r05 = _mm256_broadcast_ss(r0 + 47);
_r06 = _mm256_broadcast_ss(r0 + 55);
_r07 = _mm256_broadcast_ss(r0 + 63);
_sum4 = _mm256_fmadd_ps(_k01, _r04, _sum4);
_sum5 = _mm256_fmadd_ps(_k01, _r05, _sum5);
_sum6 = _mm256_fmadd_ps(_k01, _r06, _sum6);
_sum7 = _mm256_fmadd_ps(_k01, _r07, _sum7);
_r08 = _mm256_broadcast_ss(r0 + 71);
_r09 = _mm256_broadcast_ss(r0 + 79);
_r010 = _mm256_broadcast_ss(r0 + 87);
_r011 = _mm256_broadcast_ss(r0 + 95);
_sum8 = _mm256_fmadd_ps(_k01, _r08, _sum8);
_sum9 = _mm256_fmadd_ps(_k01, _r09, _sum9);
_sum10 = _mm256_fmadd_ps(_k01, _r010, _sum10);
_sum11 = _mm256_fmadd_ps(_k01, _r011, _sum11);
k01 += 64;
r0 += 96;
}
_mm256_storeu_ps(output0_tm, _sum0);
_mm256_storeu_ps(output0_tm + 8, _sum1);
_mm256_storeu_ps(output0_tm + 16, _sum2);
_mm256_storeu_ps(output0_tm + 24, _sum3);
_mm256_storeu_ps(output0_tm + 32, _sum4);
_mm256_storeu_ps(output0_tm + 40, _sum5);
_mm256_storeu_ps(output0_tm + 48, _sum6);
_mm256_storeu_ps(output0_tm + 56, _sum7);
_mm256_storeu_ps(output0_tm + 64, _sum8);
_mm256_storeu_ps(output0_tm + 72, _sum9);
_mm256_storeu_ps(output0_tm + 80, _sum10);
_mm256_storeu_ps(output0_tm + 88, _sum11);
output0_tm += 96;
}
for (; i + 7 < tiles; i += 8)
{
const float* r0 = bb2.row(i / 12 + (i % 12) / 8);
const float* k01 = kernel0_tm.row(r);
int nn = inch; // inch always > 0
__m256 _sum0 = _mm256_set1_ps(0.f);
__m256 _sum1 = _mm256_set1_ps(0.f);
__m256 _sum2 = _mm256_set1_ps(0.f);
__m256 _sum3 = _mm256_set1_ps(0.f);
__m256 _sum4 = _mm256_set1_ps(0.f);
__m256 _sum5 = _mm256_set1_ps(0.f);
__m256 _sum6 = _mm256_set1_ps(0.f);
__m256 _sum7 = _mm256_set1_ps(0.f);
for (; nn > 0; nn--)
{
__m256 _k01 = _mm256_loadu_ps(k01);
__m256 _r00 = _mm256_broadcast_ss(r0 + 0);
__m256 _r01 = _mm256_broadcast_ss(r0 + 8);
__m256 _r02 = _mm256_broadcast_ss(r0 + 16);
__m256 _r03 = _mm256_broadcast_ss(r0 + 24);
_sum0 = _mm256_fmadd_ps(_k01, _r00, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_sum2 = _mm256_fmadd_ps(_k01, _r02, _sum2);
_sum3 = _mm256_fmadd_ps(_k01, _r03, _sum3);
__m256 _r04 = _mm256_broadcast_ss(r0 + 32);
__m256 _r05 = _mm256_broadcast_ss(r0 + 40);
__m256 _r06 = _mm256_broadcast_ss(r0 + 48);
__m256 _r07 = _mm256_broadcast_ss(r0 + 56);
_sum4 = _mm256_fmadd_ps(_k01, _r04, _sum4);
_sum5 = _mm256_fmadd_ps(_k01, _r05, _sum5);
_sum6 = _mm256_fmadd_ps(_k01, _r06, _sum6);
_sum7 = _mm256_fmadd_ps(_k01, _r07, _sum7);
_k01 = _mm256_loadu_ps(k01 + 8);
_r00 = _mm256_broadcast_ss(r0 + 1);
_r01 = _mm256_broadcast_ss(r0 + 9);
_r02 = _mm256_broadcast_ss(r0 + 17);
_r03 = _mm256_broadcast_ss(r0 + 25);
_sum0 = _mm256_fmadd_ps(_k01, _r00, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_sum2 = _mm256_fmadd_ps(_k01, _r02, _sum2);
_sum3 = _mm256_fmadd_ps(_k01, _r03, _sum3);
_r04 = _mm256_broadcast_ss(r0 + 33);
_r05 = _mm256_broadcast_ss(r0 + 41);
_r06 = _mm256_broadcast_ss(r0 + 49);
_r07 = _mm256_broadcast_ss(r0 + 57);
_sum4 = _mm256_fmadd_ps(_k01, _r04, _sum4);
_sum5 = _mm256_fmadd_ps(_k01, _r05, _sum5);
_sum6 = _mm256_fmadd_ps(_k01, _r06, _sum6);
_sum7 = _mm256_fmadd_ps(_k01, _r07, _sum7);
_k01 = _mm256_loadu_ps(k01 + 16);
_r00 = _mm256_broadcast_ss(r0 + 2);
_r01 = _mm256_broadcast_ss(r0 + 10);
_r02 = _mm256_broadcast_ss(r0 + 18);
_r03 = _mm256_broadcast_ss(r0 + 26);
_sum0 = _mm256_fmadd_ps(_k01, _r00, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_sum2 = _mm256_fmadd_ps(_k01, _r02, _sum2);
_sum3 = _mm256_fmadd_ps(_k01, _r03, _sum3);
_r04 = _mm256_broadcast_ss(r0 + 34);
_r05 = _mm256_broadcast_ss(r0 + 42);
_r06 = _mm256_broadcast_ss(r0 + 50);
_r07 = _mm256_broadcast_ss(r0 + 58);
_sum4 = _mm256_fmadd_ps(_k01, _r04, _sum4);
_sum5 = _mm256_fmadd_ps(_k01, _r05, _sum5);
_sum6 = _mm256_fmadd_ps(_k01, _r06, _sum6);
_sum7 = _mm256_fmadd_ps(_k01, _r07, _sum7);
_k01 = _mm256_loadu_ps(k01 + 24);
_r00 = _mm256_broadcast_ss(r0 + 3);
_r01 = _mm256_broadcast_ss(r0 + 11);
_r02 = _mm256_broadcast_ss(r0 + 19);
_r03 = _mm256_broadcast_ss(r0 + 27);
_sum0 = _mm256_fmadd_ps(_k01, _r00, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_sum2 = _mm256_fmadd_ps(_k01, _r02, _sum2);
_sum3 = _mm256_fmadd_ps(_k01, _r03, _sum3);
_r04 = _mm256_broadcast_ss(r0 + 35);
_r05 = _mm256_broadcast_ss(r0 + 43);
_r06 = _mm256_broadcast_ss(r0 + 51);
_r07 = _mm256_broadcast_ss(r0 + 59);
_sum4 = _mm256_fmadd_ps(_k01, _r04, _sum4);
_sum5 = _mm256_fmadd_ps(_k01, _r05, _sum5);
_sum6 = _mm256_fmadd_ps(_k01, _r06, _sum6);
_sum7 = _mm256_fmadd_ps(_k01, _r07, _sum7);
_k01 = _mm256_loadu_ps(k01 + 32);
_r00 = _mm256_broadcast_ss(r0 + 4);
_r01 = _mm256_broadcast_ss(r0 + 12);
_r02 = _mm256_broadcast_ss(r0 + 20);
_r03 = _mm256_broadcast_ss(r0 + 28);
_sum0 = _mm256_fmadd_ps(_k01, _r00, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_sum2 = _mm256_fmadd_ps(_k01, _r02, _sum2);
_sum3 = _mm256_fmadd_ps(_k01, _r03, _sum3);
_r04 = _mm256_broadcast_ss(r0 + 36);
_r05 = _mm256_broadcast_ss(r0 + 44);
_r06 = _mm256_broadcast_ss(r0 + 52);
_r07 = _mm256_broadcast_ss(r0 + 60);
_sum4 = _mm256_fmadd_ps(_k01, _r04, _sum4);
_sum5 = _mm256_fmadd_ps(_k01, _r05, _sum5);
_sum6 = _mm256_fmadd_ps(_k01, _r06, _sum6);
_sum7 = _mm256_fmadd_ps(_k01, _r07, _sum7);
_k01 = _mm256_loadu_ps(k01 + 40);
_r00 = _mm256_broadcast_ss(r0 + 5);
_r01 = _mm256_broadcast_ss(r0 + 13);
_r02 = _mm256_broadcast_ss(r0 + 21);
_r03 = _mm256_broadcast_ss(r0 + 29);
_sum0 = _mm256_fmadd_ps(_k01, _r00, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_sum2 = _mm256_fmadd_ps(_k01, _r02, _sum2);
_sum3 = _mm256_fmadd_ps(_k01, _r03, _sum3);
_r04 = _mm256_broadcast_ss(r0 + 37);
_r05 = _mm256_broadcast_ss(r0 + 45);
_r06 = _mm256_broadcast_ss(r0 + 53);
_r07 = _mm256_broadcast_ss(r0 + 61);
_sum4 = _mm256_fmadd_ps(_k01, _r04, _sum4);
_sum5 = _mm256_fmadd_ps(_k01, _r05, _sum5);
_sum6 = _mm256_fmadd_ps(_k01, _r06, _sum6);
_sum7 = _mm256_fmadd_ps(_k01, _r07, _sum7);
_k01 = _mm256_loadu_ps(k01 + 48);
_r00 = _mm256_broadcast_ss(r0 + 6);
_r01 = _mm256_broadcast_ss(r0 + 14);
_r02 = _mm256_broadcast_ss(r0 + 22);
_r03 = _mm256_broadcast_ss(r0 + 30);
_sum0 = _mm256_fmadd_ps(_k01, _r00, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_sum2 = _mm256_fmadd_ps(_k01, _r02, _sum2);
_sum3 = _mm256_fmadd_ps(_k01, _r03, _sum3);
_r04 = _mm256_broadcast_ss(r0 + 38);
_r05 = _mm256_broadcast_ss(r0 + 46);
_r06 = _mm256_broadcast_ss(r0 + 54);
_r07 = _mm256_broadcast_ss(r0 + 62);
_sum4 = _mm256_fmadd_ps(_k01, _r04, _sum4);
_sum5 = _mm256_fmadd_ps(_k01, _r05, _sum5);
_sum6 = _mm256_fmadd_ps(_k01, _r06, _sum6);
_sum7 = _mm256_fmadd_ps(_k01, _r07, _sum7);
_k01 = _mm256_loadu_ps(k01 + 56);
_r00 = _mm256_broadcast_ss(r0 + 7);
_r01 = _mm256_broadcast_ss(r0 + 15);
_r02 = _mm256_broadcast_ss(r0 + 23);
_r03 = _mm256_broadcast_ss(r0 + 31);
_sum0 = _mm256_fmadd_ps(_k01, _r00, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_sum2 = _mm256_fmadd_ps(_k01, _r02, _sum2);
_sum3 = _mm256_fmadd_ps(_k01, _r03, _sum3);
_r04 = _mm256_broadcast_ss(r0 + 39);
_r05 = _mm256_broadcast_ss(r0 + 47);
_r06 = _mm256_broadcast_ss(r0 + 55);
_r07 = _mm256_broadcast_ss(r0 + 63);
_sum4 = _mm256_fmadd_ps(_k01, _r04, _sum4);
_sum5 = _mm256_fmadd_ps(_k01, _r05, _sum5);
_sum6 = _mm256_fmadd_ps(_k01, _r06, _sum6);
_sum7 = _mm256_fmadd_ps(_k01, _r07, _sum7);
k01 += 64;
r0 += 64;
}
_mm256_storeu_ps(output0_tm, _sum0);
_mm256_storeu_ps(output0_tm + 8, _sum1);
_mm256_storeu_ps(output0_tm + 16, _sum2);
_mm256_storeu_ps(output0_tm + 24, _sum3);
_mm256_storeu_ps(output0_tm + 32, _sum4);
_mm256_storeu_ps(output0_tm + 40, _sum5);
_mm256_storeu_ps(output0_tm + 48, _sum6);
_mm256_storeu_ps(output0_tm + 56, _sum7);
output0_tm += 64;
}
for (; i + 3 < tiles; i += 4)
{
const float* r0 = bb2.row(i / 12 + (i % 12) / 8 + (i % 12 % 8) / 4);
const float* k01 = kernel0_tm.row(r);
int nn = inch; // inch always > 0
__m256 _sum0 = _mm256_set1_ps(0.f);
__m256 _sum1 = _mm256_set1_ps(0.f);
__m256 _sum2 = _mm256_set1_ps(0.f);
__m256 _sum3 = _mm256_set1_ps(0.f);
for (; nn > 0; nn--)
{
__m256 _k01 = _mm256_loadu_ps(k01);
__m256 _r00 = _mm256_broadcast_ss(r0 + 0);
__m256 _r01 = _mm256_broadcast_ss(r0 + 8);
__m256 _r02 = _mm256_broadcast_ss(r0 + 16);
__m256 _r03 = _mm256_broadcast_ss(r0 + 24);
_sum0 = _mm256_fmadd_ps(_k01, _r00, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_sum2 = _mm256_fmadd_ps(_k01, _r02, _sum2);
_sum3 = _mm256_fmadd_ps(_k01, _r03, _sum3);
_k01 = _mm256_loadu_ps(k01 + 8);
_r00 = _mm256_broadcast_ss(r0 + 1);
_r01 = _mm256_broadcast_ss(r0 + 9);
_r02 = _mm256_broadcast_ss(r0 + 17);
_r03 = _mm256_broadcast_ss(r0 + 25);
_sum0 = _mm256_fmadd_ps(_k01, _r00, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_sum2 = _mm256_fmadd_ps(_k01, _r02, _sum2);
_sum3 = _mm256_fmadd_ps(_k01, _r03, _sum3);
_k01 = _mm256_loadu_ps(k01 + 16);
_r00 = _mm256_broadcast_ss(r0 + 2);
_r01 = _mm256_broadcast_ss(r0 + 10);
_r02 = _mm256_broadcast_ss(r0 + 18);
_r03 = _mm256_broadcast_ss(r0 + 26);
_sum0 = _mm256_fmadd_ps(_k01, _r00, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_sum2 = _mm256_fmadd_ps(_k01, _r02, _sum2);
_sum3 = _mm256_fmadd_ps(_k01, _r03, _sum3);
_k01 = _mm256_loadu_ps(k01 + 24);
_r00 = _mm256_broadcast_ss(r0 + 3);
_r01 = _mm256_broadcast_ss(r0 + 11);
_r02 = _mm256_broadcast_ss(r0 + 19);
_r03 = _mm256_broadcast_ss(r0 + 27);
_sum0 = _mm256_fmadd_ps(_k01, _r00, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_sum2 = _mm256_fmadd_ps(_k01, _r02, _sum2);
_sum3 = _mm256_fmadd_ps(_k01, _r03, _sum3);
_k01 = _mm256_loadu_ps(k01 + 32);
_r00 = _mm256_broadcast_ss(r0 + 4);
_r01 = _mm256_broadcast_ss(r0 + 12);
_r02 = _mm256_broadcast_ss(r0 + 20);
_r03 = _mm256_broadcast_ss(r0 + 28);
_sum0 = _mm256_fmadd_ps(_k01, _r00, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_sum2 = _mm256_fmadd_ps(_k01, _r02, _sum2);
_sum3 = _mm256_fmadd_ps(_k01, _r03, _sum3);
_k01 = _mm256_loadu_ps(k01 + 40);
_r00 = _mm256_broadcast_ss(r0 + 5);
_r01 = _mm256_broadcast_ss(r0 + 13);
_r02 = _mm256_broadcast_ss(r0 + 21);
_r03 = _mm256_broadcast_ss(r0 + 29);
_sum0 = _mm256_fmadd_ps(_k01, _r00, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_sum2 = _mm256_fmadd_ps(_k01, _r02, _sum2);
_sum3 = _mm256_fmadd_ps(_k01, _r03, _sum3);
_k01 = _mm256_loadu_ps(k01 + 48);
_r00 = _mm256_broadcast_ss(r0 + 6);
_r01 = _mm256_broadcast_ss(r0 + 14);
_r02 = _mm256_broadcast_ss(r0 + 22);
_r03 = _mm256_broadcast_ss(r0 + 30);
_sum0 = _mm256_fmadd_ps(_k01, _r00, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_sum2 = _mm256_fmadd_ps(_k01, _r02, _sum2);
_sum3 = _mm256_fmadd_ps(_k01, _r03, _sum3);
_k01 = _mm256_loadu_ps(k01 + 56);
_r00 = _mm256_broadcast_ss(r0 + 7);
_r01 = _mm256_broadcast_ss(r0 + 15);
_r02 = _mm256_broadcast_ss(r0 + 23);
_r03 = _mm256_broadcast_ss(r0 + 31);
_sum0 = _mm256_fmadd_ps(_k01, _r00, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_sum2 = _mm256_fmadd_ps(_k01, _r02, _sum2);
_sum3 = _mm256_fmadd_ps(_k01, _r03, _sum3);
k01 += 64;
r0 += 32;
}
_mm256_storeu_ps(output0_tm, _sum0);
_mm256_storeu_ps(output0_tm + 8, _sum1);
_mm256_storeu_ps(output0_tm + 16, _sum2);
_mm256_storeu_ps(output0_tm + 24, _sum3);
output0_tm += 32;
}
for (; i + 1 < tiles; i += 2)
{
const float* r0 = bb2.row(i / 12 + (i % 12) / 8 + (i % 12 % 8) / 4 + (i % 12 % 4) / 2);
const float* k01 = kernel0_tm.row(r);
int nn = inch; // inch always > 0
__m256 _sum0 = _mm256_set1_ps(0.f);
__m256 _sum1 = _mm256_set1_ps(0.f);
for (; nn > 0; nn--)
{
__m256 _k01 = _mm256_loadu_ps(k01);
__m256 _r0 = _mm256_broadcast_ss(r0);
__m256 _r01 = _mm256_broadcast_ss(r0 + 8);
_sum0 = _mm256_fmadd_ps(_k01, _r0, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_k01 = _mm256_loadu_ps(k01 + 8);
_r0 = _mm256_broadcast_ss(r0 + 1);
_r01 = _mm256_broadcast_ss(r0 + 9);
_sum0 = _mm256_fmadd_ps(_k01, _r0, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_k01 = _mm256_loadu_ps(k01 + 16);
_r0 = _mm256_broadcast_ss(r0 + 2);
_r01 = _mm256_broadcast_ss(r0 + 10);
_sum0 = _mm256_fmadd_ps(_k01, _r0, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_k01 = _mm256_loadu_ps(k01 + 24);
_r0 = _mm256_broadcast_ss(r0 + 3);
_r01 = _mm256_broadcast_ss(r0 + 11);
_sum0 = _mm256_fmadd_ps(_k01, _r0, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_k01 = _mm256_loadu_ps(k01 + 32);
_r0 = _mm256_broadcast_ss(r0 + 4);
_r01 = _mm256_broadcast_ss(r0 + 12);
_sum0 = _mm256_fmadd_ps(_k01, _r0, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_k01 = _mm256_loadu_ps(k01 + 40);
_r0 = _mm256_broadcast_ss(r0 + 5);
_r01 = _mm256_broadcast_ss(r0 + 13);
_sum0 = _mm256_fmadd_ps(_k01, _r0, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_k01 = _mm256_loadu_ps(k01 + 48);
_r0 = _mm256_broadcast_ss(r0 + 6);
_r01 = _mm256_broadcast_ss(r0 + 14);
_sum0 = _mm256_fmadd_ps(_k01, _r0, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
_k01 = _mm256_loadu_ps(k01 + 56);
_r0 = _mm256_broadcast_ss(r0 + 7);
_r01 = _mm256_broadcast_ss(r0 + 15);
_sum0 = _mm256_fmadd_ps(_k01, _r0, _sum0);
_sum1 = _mm256_fmadd_ps(_k01, _r01, _sum1);
k01 += 64;
r0 += 16;
}
_mm256_storeu_ps(output0_tm, _sum0);
_mm256_storeu_ps(output0_tm + 8, _sum1);
output0_tm += 16;
}
for (; i < tiles; i++)
{
const float* r0 = bb2.row(i / 12 + (i % 12) / 8 + (i % 12 % 8) / 4 + (i % 12 % 4) / 2 + i % 12 % 2);
const float* k01 = kernel0_tm.row(r);
int nn = inch; // inch always > 0
__m256 _sum0 = _mm256_set1_ps(0.f);
for (; nn > 0; nn--)
{
__m256 _k01 = _mm256_loadu_ps(k01);
__m256 _r0 = _mm256_broadcast_ss(r0);
_sum0 = _mm256_fmadd_ps(_k01, _r0, _sum0);
_k01 = _mm256_loadu_ps(k01 + 8);
_r0 = _mm256_broadcast_ss(r0 + 1);
_sum0 = _mm256_fmadd_ps(_k01, _r0, _sum0);
_k01 = _mm256_loadu_ps(k01 + 16);
_r0 = _mm256_broadcast_ss(r0 + 2);
_sum0 = _mm256_fmadd_ps(_k01, _r0, _sum0);
_k01 = _mm256_loadu_ps(k01 + 24);
_r0 = _mm256_broadcast_ss(r0 + 3);
_sum0 = _mm256_fmadd_ps(_k01, _r0, _sum0);
_k01 = _mm256_loadu_ps(k01 + 32);
_r0 = _mm256_broadcast_ss(r0 + 4);
_sum0 = _mm256_fmadd_ps(_k01, _r0, _sum0);
_k01 = _mm256_loadu_ps(k01 + 40);
_r0 = _mm256_broadcast_ss(r0 + 5);
_sum0 = _mm256_fmadd_ps(_k01, _r0, _sum0);
_k01 = _mm256_loadu_ps(k01 + 48);
_r0 = _mm256_broadcast_ss(r0 + 6);
_sum0 = _mm256_fmadd_ps(_k01, _r0, _sum0);
_k01 = _mm256_loadu_ps(k01 + 56);
_r0 = _mm256_broadcast_ss(r0 + 7);
_sum0 = _mm256_fmadd_ps(_k01, _r0, _sum0);
k01 += 64;
r0 += 8;
}
}
}
}
}
bottom_blob_tm = Mat();
// END dot
// BEGIN transform output
Mat top_blob_bordered;
if (outw == top_blob.w && outh == top_blob.h)
{
top_blob_bordered = top_blob;
}
else
{
top_blob_bordered.create(outw, outh, outch, elemsize, elempack, opt.workspace_allocator);
}
{
// const float otm[6][8] = {
// {1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 32.0f, 32.0f, 0.0f},
// {0.0f, 1.0f, -1.0f, 2.0f, -2.0f, 16.0f,-16.0f, 0.0f},
// {0.0f, 1.0f, 1.0f, 4.0f, 4.0f, 8.0f, 8.0f, 0.0f},
// {0.0f, 1.0f, -1.0f, 8.0f, -8.0f, 4.0f, -4.0f, 0.0f},
// {0.0f, 1.0f, 1.0f, 16.0f, 16.0f, 2.0f, 2.0f, 0.0f},
// {0.0f, 1.0f, -1.0f, 32.0f, -32.0f, 1.0f, -1.0f, 1.0f}
// };
// 0 = r0 + (r1 + r2) + (r3 + r4) + (r5 + r6) * 32
// 1 = (r1 - r2) + (r3 - r4) * 2 + (r5 - r6) * 16
// 2 = (r1 + r2) + (r3 + r4) * 4 + (r5 + r6) * 8
// 3 = (r1 - r2) + (r3 - r4) * 8 + (r5 - r6) * 4
// 4 = (r1 + r2) + (r3 + r4) * 16+ (r5 + r6) * 2
// 5 = r7 + (r1 - r2) + (r3 - r4) * 32+ (r5 - r6)
int w_tm = outw / 6 * 8;
int h_tm = outh / 6 * 8;
const int tiles = w_tm / 8 * h_tm / 8;
#pragma omp parallel for num_threads(opt.num_threads)
for (int p = 0; p < outch; p++)
{
const Mat out0_tm = top_blob_tm.channel(p);
Mat out0 = top_blob_bordered.channel(p);
// const float bias0 = bias ? bias[p] : 0.f;
__m256 _bias0 = bias ? _mm256_loadu_ps((const float*)bias + p * 8) : _mm256_set1_ps(0.f);
float tmp[6][8][8];
// tile
for (int i = 0; i < outh / 6; i++)
{
for (int j = 0; j < outw / 6; j++)
{
// top_blob_tm.create(tiles, 64, outch, elemsize, elempack);
const float* output0_tm_0 = (const float*)out0_tm + (i * w_tm / 8 + j) * 8;
const float* output0_tm_1 = output0_tm_0 + tiles * 8;
const float* output0_tm_2 = output0_tm_0 + tiles * 16;
const float* output0_tm_3 = output0_tm_0 + tiles * 24;
const float* output0_tm_4 = output0_tm_0 + tiles * 32;
const float* output0_tm_5 = output0_tm_0 + tiles * 40;
const float* output0_tm_6 = output0_tm_0 + tiles * 48;
const float* output0_tm_7 = output0_tm_0 + tiles * 56;
float* output0 = out0.row(i * 6) + (j * 6) * 8;
// TODO neon optimize
for (int m = 0; m < 8; m++)
{
__m256 _out0tm0 = _mm256_loadu_ps(output0_tm_0);
__m256 _out0tm1 = _mm256_loadu_ps(output0_tm_1);
__m256 _out0tm2 = _mm256_loadu_ps(output0_tm_2);
__m256 _out0tm3 = _mm256_loadu_ps(output0_tm_3);
__m256 _out0tm4 = _mm256_loadu_ps(output0_tm_4);
__m256 _out0tm5 = _mm256_loadu_ps(output0_tm_5);
__m256 _out0tm6 = _mm256_loadu_ps(output0_tm_6);
__m256 _out0tm7 = _mm256_loadu_ps(output0_tm_7);
__m256 _tmp024a = _mm256_add_ps(_out0tm1, _out0tm2);
__m256 _tmp135a = _mm256_sub_ps(_out0tm1, _out0tm2);
// float tmp024a = output0_tm[1] + output0_tm[2];
// float tmp135a = output0_tm[1] - output0_tm[2];
__m256 _tmp024b = _mm256_add_ps(_out0tm3, _out0tm4);
__m256 _tmp135b = _mm256_sub_ps(_out0tm3, _out0tm4);
// float tmp024b = output0_tm[3] + output0_tm[4];
// float tmp135b = output0_tm[3] - output0_tm[4];
__m256 _tmp024c = _mm256_add_ps(_out0tm5, _out0tm6);
__m256 _tmp135c = _mm256_sub_ps(_out0tm5, _out0tm6);
// float tmp024c = output0_tm[5] + output0_tm[6];
// float tmp135c = output0_tm[5] - output0_tm[6];
__m256 _tmp0m = _mm256_add_ps(_mm256_add_ps(_out0tm0, _tmp024a), _mm256_fmadd_1_ps(_tmp024b, _tmp024c, 32.f));
__m256 _tmp2m = _mm256_fmadd_1_ps(_mm256_fmadd_1_ps(_tmp024a, _tmp024b, 4.f), _tmp024c, 8.f);
__m256 _tmp4m = _mm256_fmadd_1_ps(_mm256_fmadd_1_ps(_tmp024a, _tmp024b, 16.f), _tmp024c, 2.f);
_mm256_storeu_ps(tmp[0][m], _tmp0m);
_mm256_storeu_ps(tmp[2][m], _tmp2m);
_mm256_storeu_ps(tmp[4][m], _tmp4m);
// tmp[0][m] = output0_tm[0] + tmp024a + tmp024b + tmp024c * 32;
// tmp[2][m] = tmp024a + tmp024b * 4 + tmp024c * 8;
// tmp[4][m] = tmp024a + tmp024b * 16 + tmp024c + tmp024c;
__m256 _tmp1m = _mm256_fmadd_1_ps(_mm256_fmadd_1_ps(_tmp135a, _tmp135b, 2.f), _tmp135c, 16.f);
__m256 _tmp3m = _mm256_fmadd_1_ps(_mm256_fmadd_1_ps(_tmp135a, _tmp135b, 8.f), _tmp135c, 4.f);
__m256 _tmp5m = _mm256_add_ps(_mm256_add_ps(_out0tm7, _tmp135a), _mm256_fmadd_1_ps(_tmp135c, _tmp135b, 32.f));
_mm256_storeu_ps(tmp[1][m], _tmp1m);
_mm256_storeu_ps(tmp[3][m], _tmp3m);
_mm256_storeu_ps(tmp[5][m], _tmp5m);
// tmp[1][m] = tmp135a + tmp135b + tmp135b + tmp135c * 16;
// tmp[3][m] = tmp135a + tmp135b * 8 + tmp135c * 4;
// tmp[5][m] = output0_tm[7] + tmp135a + tmp135b * 32 + tmp135c;
output0_tm_0 += tiles * 64;
output0_tm_1 += tiles * 64;
output0_tm_2 += tiles * 64;
output0_tm_3 += tiles * 64;
output0_tm_4 += tiles * 64;
output0_tm_5 += tiles * 64;
output0_tm_6 += tiles * 64;
output0_tm_7 += tiles * 64;
}
for (int m = 0; m < 6; m++)
{
__m256 _tmp00 = _mm256_loadu_ps(tmp[m][0]);
__m256 _tmp01 = _mm256_loadu_ps(tmp[m][1]);
__m256 _tmp02 = _mm256_loadu_ps(tmp[m][2]);
__m256 _tmp03 = _mm256_loadu_ps(tmp[m][3]);
__m256 _tmp04 = _mm256_loadu_ps(tmp[m][4]);
__m256 _tmp05 = _mm256_loadu_ps(tmp[m][5]);
__m256 _tmp06 = _mm256_loadu_ps(tmp[m][6]);
__m256 _tmp07 = _mm256_loadu_ps(tmp[m][7]);
__m256 _tmp024a = _mm256_add_ps(_tmp01, _tmp02);
__m256 _tmp135a = _mm256_sub_ps(_tmp01, _tmp02);
// float tmp024a = tmp0[1] + tmp0[2];
// float tmp135a = tmp0[1] - tmp0[2];
__m256 _tmp024b = _mm256_add_ps(_tmp03, _tmp04);
__m256 _tmp135b = _mm256_sub_ps(_tmp03, _tmp04);
// float tmp024b = tmp0[3] + tmp0[4];
// float tmp135b = tmp0[3] - tmp0[4];
__m256 _tmp024c = _mm256_add_ps(_tmp05, _tmp06);
__m256 _tmp135c = _mm256_sub_ps(_tmp05, _tmp06);
// float tmp024c = tmp0[5] + tmp0[6];
// float tmp135c = tmp0[5] - tmp0[6];
__m256 _out00 = _mm256_add_ps(_bias0, _mm256_add_ps(_mm256_add_ps(_tmp00, _tmp024a), _mm256_fmadd_1_ps(_tmp024b, _tmp024c, 32.f)));
__m256 _out02 = _mm256_add_ps(_bias0, _mm256_fmadd_1_ps(_mm256_fmadd_1_ps(_tmp024a, _tmp024b, 4.f), _tmp024c, 8.f));
__m256 _out04 = _mm256_add_ps(_bias0, _mm256_fmadd_1_ps(_mm256_fmadd_1_ps(_tmp024a, _tmp024b, 16.f), _tmp024c, 2.f));
_mm256_storeu_ps(output0, _out00);
_mm256_storeu_ps(output0 + 16, _out02);
_mm256_storeu_ps(output0 + 32, _out04);
// output0[0] = bias0 + tmp0[0] + tmp024a + tmp024b + tmp024c * 32;
// output0[2] = bias0 + tmp024a + tmp024b * 4 + tmp024c * 8;
// output0[4] = bias0 + tmp024a + tmp024b * 16 + tmp024c + tmp024c;
__m256 _out01 = _mm256_add_ps(_bias0, _mm256_fmadd_1_ps(_mm256_fmadd_1_ps(_tmp135a, _tmp135b, 2.f), _tmp135c, 16.f));
__m256 _out03 = _mm256_add_ps(_bias0, _mm256_fmadd_1_ps(_mm256_fmadd_1_ps(_tmp135a, _tmp135b, 8.f), _tmp135c, 4.f));
__m256 _out05 = _mm256_add_ps(_bias0, _mm256_add_ps(_mm256_add_ps(_tmp07, _tmp135a), _mm256_fmadd_1_ps(_tmp135c, _tmp135b, 32.f)));
_mm256_storeu_ps(output0 + 8, _out01);
_mm256_storeu_ps(output0 + 24, _out03);
_mm256_storeu_ps(output0 + 40, _out05);
// output0[1] = bias0 + tmp135a + tmp135b + tmp135b + tmp135c * 16;
// output0[3] = bias0 + tmp135a + tmp135b * 8 + tmp135c * 4;
// output0[5] = bias0 + tmp0[7] + tmp135a + tmp135b * 32 + tmp135c;
output0 += outw * 8;
}
}
}
}
}
// END transform output
// cut result pad
copy_cut_border(top_blob_bordered, top_blob, 0, top_blob_bordered.h - top_blob.h, 0, top_blob_bordered.w - top_blob.w, opt);
}
|
DRB096-doall2-taskloop-collapse-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.
*/
/*
Two-dimensional array computation:
Two loops are associated with omp taskloop due to collapse(2).
Both loop index variables are private.
taskloop requires OpenMP 4.5 compilers.
*/
#include <stdio.h>
int a[100][100];
int main()
{
int i, j;
{
#pragma omp parallel for private(j )
for (i = 0; i < 100; i++)
#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]);
return 0;
}
|
graph.h | //MIT License
//
//Copyright (c) 2021 Mobius Authors
//Permission is hereby granted, free of charge, to any person obtaining a copy
//of this software and associated documentation files (the "Software"), to deal
//in the Software without restriction, including without limitation the rights
//to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
//copies of the Software, and to permit persons to whom the Software is
//furnished to do so, subject to the following conditions:
//The above copyright notice and this permission notice shall be included in all
//copies or substantial portions of the Software.
//THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
//IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
//FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
//AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
//LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
//OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
//SOFTWARE.
//from https://github.com/sunbelbd/mobius/blob/e2d166547d61d791da8f06747a63b9cd38f02c71/graph.h
#pragma once
#include<vector>
#include<algorithm>
#include<queue>
#include<stdlib.h>
#include<random>
#include<unordered_set>
#include<mutex>
#include<time.h>
#include"config.h"
#include"data.h"
#ifdef OMP
#include<omp.h>
#endif
typedef unsigned int vl_type;
class VisitedList {
public:
vl_type curV;
vl_type *mass;
unsigned int numelements;
VisitedList(int numelements1) {
curV = 1;
numelements = numelements1;
mass = new vl_type[numelements];
memset(mass, 0, sizeof(vl_type) * numelements);
}
void reset() {
++curV;
if (curV == 0) {
curV = 1;
memset(mass, 0, sizeof(vl_type) * numelements);
}
};
~VisitedList() { delete mass; }
};
struct GraphMeasures{
int distance_cnt = 0;
};
class GraphWrapper{
public:
virtual void add_vertex(idx_t vertex_id,std::vector<std::pair<int,value_t>>& point) = 0;
virtual void add_vertex_lock(idx_t vertex_id,std::vector<std::pair<int,value_t>>& point) = 0;
virtual void search_top_k(const std::vector<std::pair<int,value_t>>& query,int k,std::vector<idx_t>& result) = 0;
virtual void search_top_k_with_score(const std::vector<std::pair<int,value_t>>& query,int k,std::vector<idx_t>& result,std::vector<double>& score){}
virtual void dump(std::string path = "bfsg.graph") = 0;
virtual void load(std::string path = "bfsg.graph") = 0;
virtual ~GraphWrapper(){}
virtual void set_construct_pq_size(int size){};
GraphMeasures measures;
};
template<const int dist_type>
class FixedDegreeGraph : public GraphWrapper{
private:
const int degree = SEARCH_DEGREE;
const int flexible_degree = FIXED_DEGREE;
const int vertex_offset_shift = FIXED_DEGREE_SHIFT;
std::vector<idx_t> edges;
std::vector<dist_t> edge_dist;
Data* data;
std::mt19937_64 rand_gen = std::mt19937_64(1234567);//std::random_device{}());
std::vector<std::mutex> edge_mutex;//do not push back on this vector, it will destroy the mutex
bool debug = false;
VisitedList* p_visited = NULL;
#ifdef OMP
std::vector<VisitedList*> visited_pool;
#endif
int construct_pq_size = CONSTRUCT_SEARCH_BUDGET;
void rank_and_switch_ordered(idx_t v_id,idx_t u_id){
//We assume the neighbors of v_ids in edges[offset] are sorted
//by the distance to v_id ascendingly when it is full
//NOTICE: before it is full, it is unsorted
auto curr_dist = pair_distance(v_id,u_id);
auto offset = ((size_t)v_id) << vertex_offset_shift;
int degree = edges[offset];
std::vector<idx_t> neighbor;
neighbor.reserve(degree + 1);
for(int i = 0;i < degree;++i)
neighbor.push_back(edges[offset + i + 1]);
neighbor.push_back(u_id);
neighbor = edge_selection_filter_neighbor(neighbor,v_id,flexible_degree);
edges[offset] = neighbor.size();
for(int i = 0;i < neighbor.size();++i)
edges[offset + i + 1] = neighbor[i];
return;
//We assert edges[offset] > 0 here
if(curr_dist >= edge_dist[offset + edges[offset]]){
return;
}
edges[offset + edges[offset]] = u_id;
edge_dist[offset + edges[offset]] = curr_dist;
for(size_t i = offset + edges[offset] - 1;i > offset;--i){
if(edge_dist[i] > edge_dist[i + 1]){
std::swap(edges[i],edges[i + 1]);
std::swap(edge_dist[i],edge_dist[i + 1]);
}else{
break;
}
}
}
void rank_and_switch(idx_t v_id,idx_t u_id){
rank_and_switch_ordered(v_id,u_id);
//TODO:
//Implement an unordered version to compare with
}
template<class T>
dist_t distance(idx_t a,T& b){
if(dist_type == 0)
return data->l2_distance(a,b);
else if(dist_type == 1)
return data->negative_inner_prod_distance(a,b);
else if(dist_type == 2)
return data->negative_cosine_distance(a,b);
else if(dist_type == 3)
return data->l2_distance(a,b);
else if(dist_type == 4)
return data->ipwrap_l2_build_distance(a,b);
else if(dist_type == 5)
return data->ipwrap_l2_query_distance(a,b);
else{
// should not happen
fprintf(stderr,"unsupported dist_type %d\n",dist_type);
return 0;
}
}
void compute_distance_naive(size_t offset,std::vector<dist_t>& dists){
dists.resize(edges[offset]);
auto degree = edges[offset];
for(int i = 0;i < degree;++i){
dists[i] = distance(offset >> vertex_offset_shift,edges[offset + i + 1]);
}
}
void compute_distance(size_t offset,std::vector<dist_t>& dists){
compute_distance_naive(offset,dists);
}
template<class T>
dist_t pair_distance_naive(idx_t a,T& b){
++measures.distance_cnt;
return distance(a,b);
}
template<class T>
dist_t pair_distance(idx_t a,T& b){
return pair_distance_naive(a,b);
}
void qsort(size_t l,size_t r){
auto mid = (l + r) >> 1;
int i = l,j = r;
auto k = edge_dist[mid];
do{
while(edge_dist[i] < k) ++i;
while(k < edge_dist[j]) --j;
if(i <= j){
std::swap(edge_dist[i],edge_dist[j]);
std::swap(edges[i],edges[j]);
++i;
--j;
}
}while(i <= j);
if(i < r)qsort(i,r);
if(l < j)qsort(l,j);
}
void rank_edges(size_t offset){
std::vector<dist_t> dists;
compute_distance(offset,dists);
for(int i = 0;i < dists.size();++i)
edge_dist[offset + i + 1] = dists[i];
qsort(offset + 1,offset + dists.size());
//TODO:
//use a heap in the edge_dist
}
void add_edge_lock(idx_t v_id,idx_t u_id){
edge_mutex[v_id].lock();
auto offset = ((size_t)v_id) << vertex_offset_shift;
if(edges[offset] < flexible_degree){
++edges[offset];
edges[offset + edges[offset]] = u_id;
}else{
rank_and_switch(v_id,u_id);
}
edge_mutex[v_id].unlock();
}
void add_edge(idx_t v_id,idx_t u_id){
auto offset = ((size_t)v_id) << vertex_offset_shift;
if(edges[offset] < flexible_degree){
++edges[offset];
edges[offset + edges[offset]] = u_id;
}else{
rank_and_switch(v_id,u_id);
}
}
public:
long long total_explore_cnt = 0;
int total_explore_times = 0;
size_t search_start_point = 0;
bool ignore_startpoint = false;
FixedDegreeGraph(Data* data) : data(data){
auto num_vertices = data->max_vertices();
edges = std::vector<idx_t>(((size_t)num_vertices) << vertex_offset_shift);
edge_dist = std::vector<dist_t>(((size_t)num_vertices) << vertex_offset_shift);
edge_mutex = std::vector<std::mutex>(num_vertices);
p_visited = new VisitedList(num_vertices + 5);
#ifdef OMP
int n_threads = 1;
#pragma omp parallel
#pragma omp master
{
n_threads = omp_get_num_threads();
}
visited_pool.resize(n_threads);
for(int i = 0;i < n_threads;++i)
visited_pool[i] = new VisitedList(num_vertices + 5);
#endif
}
void set_construct_pq_size(int size){
construct_pq_size = size;
}
std::vector<idx_t> edge_selection_filter_neighbor(std::vector<idx_t>& neighbor,idx_t vertex_id,int desired_size){
std::vector<idx_t> filtered_neighbor;
std::vector<dist_t> dists(neighbor.size());
for(int i = 0;i < dists.size();++i)
dists[i] = pair_distance(vertex_id,neighbor[i]);
std::vector<int> idx(neighbor.size());
for(int i = 0;i < idx.size();++i)
idx[i] = i;
std::sort(idx.begin(),idx.end(),[&](int a,int b){return dists[a] < dists[b];});
for(int i = 0;i < idx.size();++i){
dist_t cur_dist = dists[idx[i]];
bool pass = true;
for(auto neighbor_id : filtered_neighbor){
if(cur_dist > pair_distance(neighbor_id,neighbor[idx[i]])){
pass = false;
break;
}
}
if(pass){
filtered_neighbor.push_back(neighbor[idx[i]]);
if(filtered_neighbor.size() >= desired_size)
break;
}else{
}
}
return std::move(filtered_neighbor);
}
void add_vertex_lock(idx_t vertex_id,std::vector<std::pair<int,value_t>>& point){
std::vector<idx_t> neighbor;
search_top_k_lock(point,construct_pq_size,neighbor);
auto offset = ((size_t)vertex_id) << vertex_offset_shift;
int num_neighbors = degree < neighbor.size() ? degree : neighbor.size();
edge_mutex[vertex_id].lock();
// TODO:
// it is possible to save this space --- edges[offset]
// by set the last number in the range as
// a large number - current degree
if(neighbor.size() >= degree)
neighbor = edge_selection_filter_neighbor(neighbor,vertex_id,degree);
edges[offset] = neighbor.size();
for(int i = 0;i < neighbor.size() && i < degree;++i){
edges[offset + i + 1] = neighbor[i];
}
edge_mutex[vertex_id].unlock();
for(int i = 0;i < neighbor.size() && i < degree;++i){
add_edge_lock(neighbor[i],vertex_id);
}
}
void add_vertex(idx_t vertex_id,std::vector<std::pair<int,value_t>>& point){
std::vector<idx_t> neighbor;
search_top_k(point,construct_pq_size,neighbor);
auto offset = ((size_t)vertex_id) << vertex_offset_shift;
int num_neighbors = degree < neighbor.size() ? degree : neighbor.size();
// TODO:
// it is possible to save this space --- edges[offset]
// by set the last number in the range as
// a large number - current degree
if(neighbor.size() >= degree){
neighbor = edge_selection_filter_neighbor(neighbor,vertex_id,degree);
}
edges[offset] = neighbor.size();
for(int i = 0;i < neighbor.size() && i < degree;++i){
edges[offset + i + 1] = neighbor[i];
}
for(int i = 0;i < neighbor.size() && i < degree;++i){
add_edge(neighbor[i],vertex_id);
}
}
void astar_multi_start_search_lock(const std::vector<std::pair<int,value_t>>& query,int k,std::vector<idx_t>& result){
std::priority_queue<std::pair<dist_t,idx_t>,std::vector<std::pair<dist_t,idx_t>>,std::greater<std::pair<dist_t,idx_t>>> q;
const int num_start_point = 1;
auto converted_query = dist_type == 3 ? data->organize_point_mobius(query) : data->organize_point(query);
#ifdef OMP
int tid = omp_get_thread_num();
auto& p_visited = visited_pool[tid];
#endif
p_visited->reset();
auto tag = p_visited->curV;
for(int i = 0;i < num_start_point && i < data->curr_vertices();++i){
auto start = search_start_point;//rand_gen() % data->curr_vertices();
if(p_visited->mass[start] == tag)
continue;
p_visited->mass[start] = tag;
q.push(std::make_pair(pair_distance_naive(start,converted_query),start));
}
std::priority_queue<std::pair<dist_t,idx_t>> topk;
const int max_step = 1000000;
bool found_min_node = false;
dist_t min_dist = 1e100;
int explore_cnt = 0;
for(int iter = 0;iter < max_step && !q.empty();++iter){
auto now = q.top();
if(topk.size() == k && topk.top().first < now.first){
break;
}
++explore_cnt;
min_dist = std::min(min_dist,now.first);
q.pop();
if(ignore_startpoint == false || iter != 0)
topk.push(now);
if(topk.size() > k)
topk.pop();
edge_mutex[now.second].lock();
auto offset = ((size_t)now.second) << vertex_offset_shift;
auto degree = edges[offset];
for(int i = 0;i < degree;++i){
auto start = edges[offset + i + 1];
if(p_visited->mass[start] == tag)
continue;
p_visited->mass[start] = tag;
auto dist = pair_distance_naive(start,converted_query);
if(topk.empty() || dist < topk.top().first || topk.size() < k)
q.push(std::make_pair(dist,start));
}
edge_mutex[now.second].unlock();
}
total_explore_cnt += explore_cnt;
++total_explore_times;
result.resize(topk.size());
int i = result.size() - 1;
while(!topk.empty()){
result[i] = (topk.top().second);
topk.pop();
--i;
}
}
void astar_no_heap_search(const std::vector<std::pair<int,value_t>>& query,std::vector<idx_t>& result){
const int num_start_point = 1;
std::pair<dist_t,idx_t> q_top = std::make_pair(10000000000,0);
auto converted_query = dist_type == 3 ? data->organize_point_mobius(query) : data->organize_point(query);
p_visited->reset();
auto tag = p_visited->curV;
for(int i = 0;i < num_start_point && i < data->curr_vertices();++i){
auto start = search_start_point;//rand_gen() % data->curr_vertices();
p_visited->mass[start] = tag;
if(ignore_startpoint == false){
q_top = (std::make_pair(pair_distance_naive(start,converted_query),start));
}else{
auto offset = ((size_t)start) << vertex_offset_shift;
auto degree = edges[offset];
for(int i = 1;i <= degree;++i){
p_visited->mass[edges[offset + i]] = tag;
auto dis = pair_distance_naive(edges[offset + i],converted_query);
if(dis < q_top.first)
q_top = (std::make_pair(dis,start));
}
}
}
const int max_step = 1000000;
bool found_min_node = false;
dist_t min_dist = 1e100;
int explore_cnt = 0;
for(int iter = 0;iter < max_step;++iter){
++explore_cnt;
auto offset = ((size_t)q_top.second) << vertex_offset_shift;
auto degree = edges[offset];
bool changed = false;
for(int i = 0;i < degree;++i){
auto start = edges[offset + i + 1];
if(p_visited->mass[start] == tag)
continue;
p_visited->mass[start] = tag;
auto dist = pair_distance_naive(start,converted_query);
if(dist < q_top.first){
q_top = (std::make_pair(dist,start));
changed = true;
}
}
if(changed == false)
break;
}
total_explore_cnt += explore_cnt;
++total_explore_times;
result.resize(1);
result[0] = q_top.second;
}
void astar_multi_start_search_with_score(const std::vector<std::pair<int,value_t>>& query,int k,std::vector<idx_t>& result,std::vector<double>& score){
std::priority_queue<std::pair<dist_t,idx_t>,std::vector<std::pair<dist_t,idx_t>>,std::greater<std::pair<dist_t,idx_t>>> q;
const int num_start_point = 1;
auto converted_query = dist_type == 3 ? data->organize_point_mobius(query) : data->organize_point(query);
p_visited->reset();
auto tag = p_visited->curV;
for(int i = 0;i < num_start_point && i < data->curr_vertices();++i){
auto start = search_start_point;//rand_gen() % data->curr_vertices();
if(p_visited->mass[start] == tag)
continue;
p_visited->mass[start] = tag;
q.push(std::make_pair(pair_distance_naive(start,converted_query),start));
}
std::priority_queue<std::pair<dist_t,idx_t>> topk;
const int max_step = 1000000;
bool found_min_node = false;
dist_t min_dist = 1e100;
int explore_cnt = 0;
for(int iter = 0;iter < max_step && !q.empty();++iter){
auto now = q.top();
if(topk.size() == k && topk.top().first < now.first){
break;
}
++explore_cnt;
min_dist = std::min(min_dist,now.first);
q.pop();
if(ignore_startpoint == false || iter != 0)
topk.push(now);
if(topk.size() > k)
topk.pop();
auto offset = ((size_t)now.second) << vertex_offset_shift;
auto degree = edges[offset];
for(int i = 0;i < degree;++i){
auto start = edges[offset + i + 1];
if(p_visited->mass[start] == tag)
continue;
p_visited->mass[start] = tag;
auto dist = pair_distance_naive(start,converted_query);
if(topk.empty() || dist < topk.top().first || topk.size() < k)
q.push(std::make_pair(dist,start));
}
}
total_explore_cnt += explore_cnt;
++total_explore_times;
result.resize(topk.size());
score.resize(topk.size());
int i = result.size() - 1;
while(!topk.empty()){
result[i] = (topk.top().second);
score[i] = -(topk.top().first);
topk.pop();
--i;
}
}
void astar_multi_start_search(const std::vector<std::pair<int,value_t>>& query,int k,std::vector<idx_t>& result){
std::priority_queue<std::pair<dist_t,idx_t>,std::vector<std::pair<dist_t,idx_t>>,std::greater<std::pair<dist_t,idx_t>>> q;
const int num_start_point = 1;
auto converted_query = dist_type == 3 ? data->organize_point_mobius(query) : data->organize_point(query);
p_visited->reset();
auto tag = p_visited->curV;
for(int i = 0;i < num_start_point && i < data->curr_vertices();++i){
auto start = search_start_point;//rand_gen() % data->curr_vertices();
if(p_visited->mass[start] == tag)
continue;
p_visited->mass[start] = tag;
q.push(std::make_pair(pair_distance_naive(start,converted_query),start));
}
std::priority_queue<std::pair<dist_t,idx_t>> topk;
const int max_step = 1000000;
bool found_min_node = false;
dist_t min_dist = 1e100;
int explore_cnt = 0;
for(int iter = 0;iter < max_step && !q.empty();++iter){
auto now = q.top();
if(topk.size() == k && topk.top().first < now.first){
break;
}
++explore_cnt;
min_dist = std::min(min_dist,now.first);
q.pop();
if(ignore_startpoint == false || iter != 0)
topk.push(now);
if(topk.size() > k)
topk.pop();
auto offset = ((size_t)now.second) << vertex_offset_shift;
auto degree = edges[offset];
for(int i = 0;i < degree;++i){
auto start = edges[offset + i + 1];
if(p_visited->mass[start] == tag)
continue;
p_visited->mass[start] = tag;
auto dist = pair_distance_naive(start,converted_query);
if(topk.empty() || dist < topk.top().first || topk.size() < k)
q.push(std::make_pair(dist,start));
}
}
total_explore_cnt += explore_cnt;
++total_explore_times;
result.resize(topk.size());
int i = result.size() - 1;
while(!topk.empty()){
result[i] = (topk.top().second);
topk.pop();
--i;
}
}
void search_top_k(const std::vector<std::pair<int,value_t>>& query,int k,std::vector<idx_t>& result){
if(k == 1)
astar_no_heap_search(query,result);
else
astar_multi_start_search(query,k,result);
}
void search_top_k_with_score(const std::vector<std::pair<int,value_t>>& query,int k,std::vector<idx_t>& result,std::vector<double>& score){
astar_multi_start_search_with_score(query,k,result,score);
}
void search_top_k_lock(const std::vector<std::pair<int,value_t>>& query,int k,std::vector<idx_t>& result){
astar_multi_start_search_lock(query,k,result);
}
void print_stat(){
auto n = data->max_vertices();
size_t sum = 0;
std::vector<size_t> histogram(2 * degree + 1,0);
for(size_t i = 0;i < n;++i){
sum += edges[i << vertex_offset_shift];
int tmp = edges[i << vertex_offset_shift];
if(tmp > 2 * degree + 1)
fprintf(stderr,"[ERROR] node %zu has %d degree\n",i,tmp);
++histogram[edges[i << vertex_offset_shift]];
if(tmp != degree)
fprintf(stderr,"[INFO] %zu has degree %d\n",i,tmp);
}
fprintf(stderr,"[INFO] #vertices %zu, avg degree %f\n",n,sum * 1.0 / n);
std::unordered_set<idx_t> visited;
fprintf(stderr,"[INFO] degree histogram:\n");
for(int i = 0;i <= 2 * degree + 1;++i)
fprintf(stderr,"[INFO] %d:\t%zu\n",i,histogram[i]);
}
void print_edges(int x){
for(size_t i = 0;i < x;++i){
size_t offset = i << vertex_offset_shift;
int degree = edges[offset];
fprintf(stderr,"%d (%d): ",i,degree);
for(int j = 1;j <= degree;++j)
fprintf(stderr,"(%zu,%f) ",edges[offset + j],edge_dist[offset + j]);
fprintf(stderr,"\n");
}
}
void dump(std::string path = "bfsg.graph"){
FILE* fp = fopen(path.c_str(),"wb");
size_t num_vertices = data->max_vertices();
fwrite(&edges[0],sizeof(edges[0]) * (num_vertices << vertex_offset_shift),1,fp);
fclose(fp);
}
void load(std::string path = "bfsg.graph"){
FILE* fp = fopen(path.c_str(),"rb");
size_t num_vertices = data->max_vertices();
auto cnt = fread(&edges[0],sizeof(edges[0]) * (num_vertices << vertex_offset_shift),1,fp);
fclose(fp);
}
Data* get_data(){
return data;
}
};
|
elemwise_binary_scalar_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 elemwise_binary_scalar_op.h
* \brief Function definition of elementwise binary scalar operators
*/
#ifndef MXNET_OPERATOR_TENSOR_ELEMWISE_BINARY_SCALAR_OP_H_
#define MXNET_OPERATOR_TENSOR_ELEMWISE_BINARY_SCALAR_OP_H_
#include <mxnet/operator_util.h>
#include <limits>
#include <vector>
#include <utility>
#include <string>
#include "../mshadow_op.h"
#include "../elemwise_op_common.h"
#include "elemwise_unary_op.h"
namespace mxnet {
namespace op {
struct NumpyBinaryScalarParam : public dmlc::Parameter<NumpyBinaryScalarParam> {
double scalar;
bool is_int;
DMLC_DECLARE_PARAMETER(NumpyBinaryScalarParam) {
DMLC_DECLARE_FIELD(scalar).set_default(1).describe("Scalar input value");
DMLC_DECLARE_FIELD(is_int).set_default(true).describe(
"Indicate whether scalar input is int type");
}
void SetAttrDict(std::unordered_map<std::string, std::string>* dict) {
std::ostringstream scalar_s, is_int_s;
scalar_s << std::setprecision(std::numeric_limits<double>::max_digits10) << scalar;
is_int_s << is_int;
(*dict)["scalar"] = scalar_s.str();
(*dict)["is_int"] = is_int_s.str();
}
};
inline bool NumpyBinaryScalarType(const nnvm::NodeAttrs& attrs,
std::vector<int>* in_attrs,
std::vector<int>* out_attrs) {
CHECK_EQ(in_attrs->size(), 1U);
CHECK_EQ(out_attrs->size(), 1U);
const NumpyBinaryScalarParam& param = nnvm::get<NumpyBinaryScalarParam>(attrs.parsed);
bool scalar_is_int = param.is_int;
if (common::is_int(in_attrs->at(0)) && !scalar_is_int) {
TYPE_ASSIGN_CHECK(*out_attrs, 0, mshadow::kFloat64);
} else if (in_attrs->at(0) == mshadow::kBool) {
TYPE_ASSIGN_CHECK(*out_attrs, 0, scalar_is_int ? mshadow::kInt64 : mshadow::kFloat64);
} else {
TYPE_ASSIGN_CHECK(*out_attrs, 0, in_attrs->at(0));
TYPE_ASSIGN_CHECK(*in_attrs, 0, out_attrs->at(0));
}
return out_attrs->at(0) != -1;
}
class BinaryScalarOp : public UnaryOp {
/*! \brief Tensor operation against a scalar with a dense result */
template <typename OP, typename DType, typename IType>
static void ComputeExDenseResultRsp(mshadow::Stream<cpu>* stream,
const nnvm::NodeAttrs& attrs,
const OpContext& ctx,
const NDArray& input,
const OpReqType req,
const NDArray& output) {
const NumpyBinaryScalarParam& param = nnvm::get<NumpyBinaryScalarParam>(attrs.parsed);
const double alpha = param.scalar;
CHECK_EQ(output.shape(), input.shape());
const int64_t row_count = output.shape()[0];
const int64_t items_per_row = output.shape().Size() / row_count;
const DType result_for_zero = OP::Map(DType(0), DType(alpha));
mshadow::Tensor<cpu, 1, DType> input_data = input.data().FlatTo1D<cpu, DType>(stream);
mshadow::Tensor<cpu, 1, DType> output_data = output.data().FlatTo1D<cpu, DType>(stream);
const int64_t sparse_row_count = input.aux_shape(rowsparse::kIdx).Size();
if (sparse_row_count != row_count) {
mshadow::Tensor<cpu, 1, IType> row_indexes =
input.aux_data(rowsparse::kIdx).FlatTo1D<cpu, IType>(stream);
int64_t input_iter = 0;
int64_t output_row = 0;
IType next_input_row = 0;
while (output_row < row_count) {
next_input_row =
input_iter < sparse_row_count ? int64_t(row_indexes[input_iter]) : row_count;
// Split up into blocks of contiguous data and do those together
// Do contiguous dense blocks
const int64_t dense_block_count = next_input_row - output_row;
if (dense_block_count > 0) {
MXNET_ASSIGN_REQ_SWITCH(req, Req, {
mxnet_op::Kernel<mxnet_op::op_with_req<mshadow_op::identity, Req>, cpu>::Launch(
stream,
items_per_row * dense_block_count,
output_data.dptr_ + items_per_row * output_row,
result_for_zero);
});
output_row += dense_block_count;
continue;
}
// Do contiguous sparse blocks
int64_t next_non_contiguous_sparse = input_iter;
while (next_non_contiguous_sparse < sparse_row_count - 1) {
if (row_indexes[next_non_contiguous_sparse + 1] !=
row_indexes[next_non_contiguous_sparse] + 1) {
break;
}
++next_non_contiguous_sparse;
}
const int64_t sparse_block_count = next_non_contiguous_sparse - input_iter + 1;
if (sparse_block_count > 0) {
MXNET_ASSIGN_REQ_SWITCH(req, Req, {
mxnet_op::Kernel<mxnet_op::op_with_req<OP, Req>, cpu>::Launch(
stream,
items_per_row * sparse_block_count,
&output_data.dptr_[items_per_row * output_row],
&input_data.dptr_[items_per_row * input_iter],
DType(alpha));
});
output_row += sparse_block_count;
input_iter += sparse_block_count;
continue;
}
}
} else {
// All rows exist (eventually we don't have to do complex
// things to call GPU kernels because we don't need to access row indices)
MXNET_ASSIGN_REQ_SWITCH(req, Req, {
mxnet_op::Kernel<mxnet_op::op_with_req<OP, Req>, cpu>::Launch(
stream, items_per_row * row_count, output_data.dptr_, input_data.dptr_, DType(alpha));
});
}
}
/*! \brief Tensor operation against a scalar with a dense result */
template <typename OP, typename DType, typename IType>
static void ComputeExDenseResultRsp(mshadow::Stream<gpu>* stream,
const nnvm::NodeAttrs& attrs,
const OpContext& ctx,
const NDArray& input,
const OpReqType req,
const NDArray& output) {
LOG(FATAL) << "NOT IMPLEMENTED";
}
/*! \brief Tensor operation against a scalar with a dense result */
template <typename OP, typename DType, typename IType, typename CType>
static void ComputeExDenseResultCsr(mshadow::Stream<cpu>* stream,
const nnvm::NodeAttrs& attrs,
const OpContext& ctx,
const NDArray& input,
const OpReqType req,
const NDArray& output) {
CHECK_EQ(output.shape(), input.shape());
const NumpyBinaryScalarParam& param = nnvm::get<NumpyBinaryScalarParam>(attrs.parsed);
const double alpha = param.scalar;
const DType dense_fill_val = OP::Map(DType(0), DType(alpha));
const TBlob column_indexes = input.aux_data(csr::kIdx);
const size_t item_count = column_indexes.Size();
// Pre-fill dense with 0-input/output value
FillDense<DType>(
stream, output.shape().Size(), dense_fill_val, req, output.data().dptr<DType>());
mshadow::Tensor<cpu, 2, DType> out = AsRowise2D<DType>(stream, output.data());
if (item_count) {
const DType* in = input.data().dptr<DType>();
const IType* column_indexes_ptr = column_indexes.dptr<IType>();
const auto row_count = static_cast<size_t>(input.shape()[0]);
const TBlob row_starts = input.aux_data(csr::kIndPtr);
const CType* row_starts_ptr = row_starts.dptr<CType>();
#pragma omp parallel for
for (int i = 0; i < static_cast<int>(row_count); ++i) {
const bool last_row = i == static_cast<int>(row_count) - 1;
// Split up into blocks of contiguous data and do those together
const size_t row_item_start_iter = row_starts_ptr[i];
const size_t input_items_this_row =
!last_row ? static_cast<size_t>(row_starts_ptr[i + 1]) - row_item_start_iter
: item_count - row_item_start_iter;
if (input_items_this_row) {
const IType* this_row_column_indexes = column_indexes_ptr + row_item_start_iter;
const DType* row_data_start = in + row_item_start_iter;
DType* output_this_row = out[i].dptr_;
// More overhead to use OMP for small loops, so don't
if (input_items_this_row > 1000) {
#pragma omp parallel for
for (CType j = 0; j < static_cast<CType>(input_items_this_row); ++j) {
const IType col = this_row_column_indexes[j];
const DType val = row_data_start[j];
output_this_row[col] = OP::Map(val, DType(alpha));
}
} else {
for (CType j = 0; j < static_cast<CType>(input_items_this_row); ++j) {
const IType col = this_row_column_indexes[j];
const DType val = row_data_start[j];
output_this_row[col] = OP::Map(val, DType(alpha));
}
}
}
}
}
}
/*! \brief Tensor operation against a scalar with a dense result */
template <typename OP, typename DType, typename IType, typename CType>
static void ComputeExDenseResultCsr(mshadow::Stream<gpu>* stream,
const nnvm::NodeAttrs& attrs,
const OpContext& ctx,
const NDArray& input,
const OpReqType req,
const NDArray& output) {
LOG(FATAL) << "NOT IMPLEMENTED";
}
template <typename xpu, typename OP, typename DType, typename IType>
static void ComputeExDenseResult(const nnvm::NodeAttrs& attrs,
const OpContext& ctx,
const NDArray& input,
const OpReqType req,
const NDArray output) {
mshadow::Stream<xpu>* stream = ctx.get_stream<xpu>();
CHECK_EQ(output.storage_type(), kDefaultStorage);
switch (input.storage_type()) {
case kRowSparseStorage: {
ComputeExDenseResultRsp<OP, DType, IType>(stream, attrs, ctx, input, req, output);
break;
}
case kCSRStorage: {
MSHADOW_IDX_TYPE_SWITCH(input.aux_data(csr::kIndPtr).type_flag_, CType, {
ComputeExDenseResultCsr<OP, DType, IType, CType>(stream, attrs, ctx, input, req, output);
});
break;
}
default:
CHECK(false) << "Unsupported sparse storage type";
break;
}
}
public:
template <typename OP>
static void Compute_(const nnvm::NodeAttrs& attrs,
const OpContext& ctx,
mshadow::Stream<cpu>* s,
const std::vector<TBlob>& inputs,
const std::vector<OpReqType>& req,
const std::vector<TBlob>& outputs) {
DCHECK_EQ(inputs.size(), 1);
DCHECK_EQ(outputs.size(), 1);
using namespace mshadow;
using namespace mshadow::expr;
TBlob temp_tblob;
const NumpyBinaryScalarParam& param = nnvm::get<NumpyBinaryScalarParam>(attrs.parsed);
bool scalar_is_int = param.is_int;
const double alpha = param.scalar;
MSHADOW_TYPE_SWITCH(outputs[0].type_flag_, DType, {
if ((common::is_int(inputs[0].type_flag_) && !scalar_is_int) ||
(inputs[0].type_flag_ == kBool)) {
Tensor<cpu, 1, DType> temp_tensor =
ctx.requested[0].get_space_typed<cpu, 1, DType>(Shape1(inputs[0].Size()), s);
temp_tblob = TBlob(temp_tensor);
CastCompute<cpu>(attrs, ctx, {inputs[0]}, {kWriteTo}, {temp_tblob});
} else {
temp_tblob = inputs[0];
}
MXNET_ASSIGN_REQ_SWITCH(req[0], Req, {
mxnet_op::Kernel<mxnet_op::op_with_req<OP, Req>, cpu>::Launch(
s, inputs[0].Size(), outputs[0].dptr<DType>(), temp_tblob.dptr<DType>(), DType(alpha));
});
});
}
template <typename xpu, typename OP>
static void Compute(const nnvm::NodeAttrs& attrs,
const OpContext& ctx,
const std::vector<TBlob>& inputs,
const std::vector<OpReqType>& req,
const std::vector<TBlob>& outputs) {
mshadow::Stream<xpu>* s = ctx.get_stream<xpu>();
Compute_<OP>(attrs, ctx, s, inputs, req, outputs);
}
template <typename xpu, typename OP>
static void ComputeInt(const nnvm::NodeAttrs& attrs,
const OpContext& ctx,
const std::vector<TBlob>& inputs,
const std::vector<OpReqType>& req,
const std::vector<TBlob>& outputs) {
DCHECK_EQ(inputs.size(), 1);
DCHECK_EQ(outputs.size(), 1);
using namespace mshadow;
using namespace mshadow::expr;
Stream<xpu>* s = ctx.get_stream<xpu>();
const NumpyBinaryScalarParam& param = nnvm::get<NumpyBinaryScalarParam>(attrs.parsed);
const double alpha = param.scalar;
MXNET_INT_TYPE_SWITCH(outputs[0].type_flag_, DType, {
MXNET_ASSIGN_REQ_SWITCH(req[0], Req, {
mxnet_op::Kernel<mxnet_op::op_with_req<OP, Req>, xpu>::Launch(
s, inputs[0].Size(), outputs[0].dptr<DType>(), inputs[0].dptr<DType>(), DType(alpha));
});
});
}
template <typename xpu, typename OP>
static void ComputeLogic(const nnvm::NodeAttrs& attrs,
const OpContext& ctx,
const std::vector<TBlob>& inputs,
const std::vector<OpReqType>& req,
const std::vector<TBlob>& outputs) {
DCHECK_EQ(inputs.size(), 1);
DCHECK_EQ(outputs.size(), 1);
using namespace mshadow;
using namespace mshadow::expr;
Stream<xpu>* s = ctx.get_stream<xpu>();
const NumpyBinaryScalarParam& param = nnvm::get<NumpyBinaryScalarParam>(attrs.parsed);
bool scalar_is_int = param.is_int;
const double alpha = param.scalar;
TBlob temp_tblob;
if (common::is_int(inputs[0].type_flag_) && !scalar_is_int) {
Tensor<xpu, 1, double> temp_tensor =
ctx.requested[0].get_space_typed<xpu, 1, double>(Shape1(inputs[0].Size()), s);
temp_tblob = TBlob(temp_tensor);
CastCompute<xpu>(attrs, ctx, {inputs[0]}, {kWriteTo}, {temp_tblob});
} else {
temp_tblob = inputs[0];
}
MSHADOW_TYPE_SWITCH_WITH_BOOL(temp_tblob.type_flag_, DType, {
MXNET_ASSIGN_REQ_SWITCH(req[0], Req, {
mxnet_op::Kernel<mxnet_op::op_with_req<OP, Req>, xpu>::Launch(
s, inputs[0].Size(), outputs[0].dptr<bool>(), temp_tblob.dptr<DType>(), DType(alpha));
});
});
}
template <typename xpu, typename OP>
static void ComputeEx(const nnvm::NodeAttrs& attrs,
const OpContext& ctx,
const std::vector<NDArray>& inputs,
const std::vector<OpReqType>& req,
const std::vector<NDArray>& outputs) {
DCHECK_EQ(inputs.size(), 1);
DCHECK_EQ(outputs.size(), 1);
const auto in_stype = inputs[0].storage_type();
const auto out_stype = outputs[0].storage_type();
if (req[0] == kNullOp) {
return;
}
if ((in_stype == kRowSparseStorage && out_stype == kRowSparseStorage) ||
(in_stype == kCSRStorage && out_stype == kCSRStorage)) {
// csr -> csr, or rsp -> rsp
UnaryOp::MapToFCompute<xpu>(attrs, ctx, inputs, req, outputs, Compute<xpu, OP>);
} else if (out_stype == kDefaultStorage &&
(in_stype == kRowSparseStorage || in_stype == kCSRStorage)) {
MSHADOW_TYPE_SWITCH(outputs[0].data().type_flag_, DType, {
MSHADOW_IDX_TYPE_SWITCH(inputs[0].aux_type(rowsparse::kIdx), IType, {
ComputeExDenseResult<xpu, OP, DType, IType>(attrs, ctx, inputs[0], req[0], outputs[0]);
});
});
} else {
LogUnimplementedOp(attrs, ctx, inputs, req, outputs);
}
}
template <typename xpu, typename OP>
static void LogicComputeEx(const nnvm::NodeAttrs& attrs,
const OpContext& ctx,
const std::vector<NDArray>& inputs,
const std::vector<OpReqType>& req,
const std::vector<NDArray>& outputs) {
DCHECK_EQ(inputs.size(), 1);
DCHECK_EQ(outputs.size(), 1);
const auto in_stype = inputs[0].storage_type();
const auto out_stype = outputs[0].storage_type();
if (req[0] == kNullOp) {
return;
}
if ((in_stype == kRowSparseStorage && out_stype == kRowSparseStorage) ||
(in_stype == kCSRStorage && out_stype == kCSRStorage)) {
// csr -> csr, or rsp -> rsp
UnaryOp::MapToFCompute<xpu>(attrs, ctx, inputs, req, outputs, Compute<xpu, OP>);
} else {
LogUnimplementedOp(attrs, ctx, inputs, req, outputs);
}
}
template <typename OP>
static void Backward_(const nnvm::NodeAttrs& attrs,
mshadow::Stream<cpu>* s,
const std::vector<TBlob>& inputs,
const std::vector<OpReqType>& req,
const std::vector<TBlob>& outputs) {
using namespace mshadow;
using namespace mshadow::expr;
const NumpyBinaryScalarParam& param = nnvm::get<NumpyBinaryScalarParam>(attrs.parsed);
const double alpha = param.scalar;
MSHADOW_TYPE_SWITCH(outputs[0].type_flag_, DType, {
MXNET_ASSIGN_REQ_SWITCH(req[0], Req, {
mxnet::op::mxnet_op::Kernel<
mxnet::op::mxnet_op::op_with_req<mxnet::op::mxnet_op::backward_grad_tuned<OP>, Req>,
cpu>::Launch(s,
inputs[0].Size(),
outputs[0].dptr<DType>(),
inputs[0].dptr<DType>(),
inputs[1].dptr<DType>(),
DType(alpha));
});
});
}
template <typename xpu, typename OP>
static void Backward(const nnvm::NodeAttrs& attrs,
const OpContext& ctx,
const std::vector<TBlob>& inputs,
const std::vector<OpReqType>& req,
const std::vector<TBlob>& outputs) {
using namespace mshadow;
using namespace mshadow::expr;
Stream<xpu>* s = ctx.get_stream<xpu>();
Backward_<OP>(attrs, s, inputs, req, outputs);
}
};
#define MXNET_OPERATOR_REGISTER_BINARY_SCALAR(name) \
NNVM_REGISTER_OP(name) \
.set_num_inputs(1) \
.set_num_outputs(1) \
.set_attr_parser(ParamParser<NumpyBinaryScalarParam>) \
.set_attr<mxnet::FInferShape>("FInferShape", ElemwiseShape<1, 1>) \
.set_attr<nnvm::FInferType>("FInferType", NumpyBinaryScalarType) \
.set_attr<nnvm::FInplaceOption>("FInplaceOption", \
[](const NodeAttrs& attrs) { \
return std::vector<std::pair<int, int> >{{0, 0}}; \
}) \
.set_attr<FResourceRequest>( \
"FResourceRequest", \
[](const NodeAttrs& attrs) { \
return std::vector<ResourceRequest>{ResourceRequest::kTempSpace}; \
}) \
.add_argument("data", "NDArray-or-Symbol", "source input") \
.add_arguments(NumpyBinaryScalarParam::__FIELDS__())
#if MXNET_USE_CUDA
struct BinaryScalarRTCCompute {
std::string OP;
void operator()(const nnvm::NodeAttrs& attrs,
const OpContext& ctx,
const std::vector<TBlob>& inputs,
const std::vector<OpReqType>& req,
const std::vector<TBlob>& outputs);
void operator()(const nnvm::NodeAttrs& attrs,
const OpContext& ctx,
const std::vector<NDArray>& inputs,
const std::vector<OpReqType>& req,
const std::vector<NDArray>& outputs);
};
struct BinaryScalarRTCBackward {
std::string OP;
void operator()(const nnvm::NodeAttrs& attrs,
const OpContext& ctx,
const std::vector<TBlob>& inputs,
const std::vector<OpReqType>& req,
const std::vector<TBlob>& outputs);
};
#endif
} // namespace op
} // namespace mxnet
#endif // MXNET_OPERATOR_TENSOR_ELEMWISE_BINARY_SCALAR_OP_H_
|
soma_clustering.h | // -----------------------------------------------------------------------------
//
// Copyright (C) 2021 CERN & Newcastle University for the benefit of the
// BioDynaMo collaboration. 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.
//
// See the LICENSE file distributed with this work for details.
// See the NOTICE file distributed with this work for additional information
// regarding copyright ownership.
//
// -----------------------------------------------------------------------------
//
// This model examplifies the use of extracellur diffusion and shows
// how to extend the default "Cell". In step 0 one can see how an extra
// data member is added and can be accessed throughout the simulation with
// its Get and Set methods. N cells are randomly positioned in space, of which
// half are of type 1 and half of type -1. Each type secretes a different
// substance. Cells move towards the gradient of their own substance, which
// results in clusters being formed of cells of the same type.
//
#ifndef DEMO_SOMA_CLUSTERING_H_
#define DEMO_SOMA_CLUSTERING_H_
#include <vector>
#include "biodynamo.h"
#include "my_cell.h"
#include "validation_criterion.h"
namespace bdm {
enum Substances { kSubstance0, kSubstance1 };
inline int Simulate(int argc, const char** argv) {
auto set_param = [](Param* param) {
// Create an artificial bound for the simulation space
param->bound_space = true;
param->min_bound = 0;
param->max_bound = 250;
param->unschedule_default_operations = {"mechanical forces"};
};
Simulation simulation(argc, argv, set_param);
// Define initial model
auto* param = simulation.GetParam();
int num_cells = 20000;
#pragma omp parallel
simulation.GetRandom()->SetSeed(4357);
// Define the substances that cells may secrete
// Order: substance_name, diffusion_coefficient, decay_constant, resolution
ModelInitializer::DefineSubstance(kSubstance0, "Substance_0", 0.5, 0.1, 20);
ModelInitializer::DefineSubstance(kSubstance1, "Substance_1", 0.5, 0.1, 20);
int cell_type = 1;
std::string substance_name = "Substance_0";
auto construct = [&cell_type, &substance_name](const Double3& position) {
auto* cell = new MyCell(position, cell_type);
cell->SetDiameter(10);
cell->AddBehavior(new Secretion(substance_name));
cell->AddBehavior(new Chemotaxis(substance_name, 5));
return cell;
};
// Construct num_cells/2 cells of type 0
ModelInitializer::CreateAgentsRandom(param->min_bound, param->max_bound,
num_cells / 2, construct);
// Construct num_cells/2 cells of type 1
cell_type = -1;
substance_name = "Substance_1";
ModelInitializer::CreateAgentsRandom(param->min_bound, param->max_bound,
num_cells / 2, construct);
// Run simulation for N timesteps
simulation.GetScheduler()->Simulate(1000);
// Check if criterion is met
double spatial_range = 5;
auto crit = GetCriterion(spatial_range, num_cells / 8);
if (crit) {
std::cout << "Simulation completed successfully!\n";
}
return !crit;
}
} // namespace bdm
#endif // DEMO_SOMA_CLUSTERING_H_
|
GB_unop__identity_fc32_bool.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_bool)
// op(A') function: GB (_unop_tran__identity_fc32_bool)
// C type: GxB_FC32_t
// A type: bool
// cast: GxB_FC32_t cij = GxB_CMPLXF ((float) (aij), 0)
// unaryop: cij = aij
#define GB_ATYPE \
bool
#define GB_CTYPE \
GxB_FC32_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
bool 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] */ \
bool 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_BOOL)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_apply__identity_fc32_bool)
(
GxB_FC32_t *Cx, // Cx and Ax may be aliased
const bool *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 (bool), nthreads) ;
#else
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
bool 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 ;
bool 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_bool)
(
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
|
lib.h | /*!
* This is a library of functions for the Boolean networks model of
* Wilson et al. 2018.
*
* Author: Seb James
*/
#ifndef __LIB_H__
#define __LIB_H__
#include <bitset>
#include <array>
#include <iostream>
#include <sstream>
#include <stdlib.h>
#include <vector>
#include <bitset>
#include <list>
#include <math.h>
#include <immintrin.h> // Using intrinsics for computing Hamming distances
// Using rng.h for random numbers means that RngData has to be properly set up in evolve_json.cpp etc.
#include "rng.h"
#define DUMMYARG 11
// To avoid use of RngData:
//#define USE_SIMPLE_RAND 1
using namespace std;
/*!
* Debugging/informational macros.
*/
#ifdef DEBUG
# define DBG(s) cout << "DBG: " << __FUNCTION__ << ": " << s << endl;
#else
# define DBG(s)
#endif
#ifdef DEBUG2
# define DBG2(s) cout << "DBG2: " << __FUNCTION__ << ": " << s << endl;
#else
# define DBG2(s)
#endif
#define LOG(s) cout << "LOG: " << s << endl;
/*!
* N_Genes has to be defined.
*/
#ifndef N_Genes
# error 'Number of genes parameter N_Genes must be defined'
#endif
/*!
* Here you can set (in the notation used by Stuart Kaufmann) whether
* k=n or k=n-1. We investigated both, but the paper covers the case
* where k=n. In the code, N_Ins is equivalent to Kaufmann's 'k';
* N_Genes is his 'n'.
*/
#ifndef k_equals_n_minus_1
# define N_Ins_EQUALS_N_Genes 1
#endif
#ifdef N_Ins_EQUALS_N_Genes // k = n
# define ExtraOffset (1)
# define N_Ins (N_Genes)
#else // k = n-1
# define ExtraOffset (0)
# define N_Ins (N_Genes-1)
# define N_minus_k (1)
#endif
/*!
* The genome has a section for each gene. The length of the
* section of each gene is 2^N_Ins. 32 bit width sections are
* enough for N_Genes <= 6. 64 bit width sections ok for N_Genes <= 7.
*/
#if N_Genes == 7 // or N_Genes == 6 and N_Ins_EQUALS_N_Genes
typedef unsigned long long int genosect_t;
# define GENOSECT_ONE 0x1ULL
#elif N_Genes == 6
# if defined N_Ins_EQUALS_N_Genes
typedef unsigned long long int genosect_t;
# define GENOSECT_ONE 0x1ULL
# else
typedef unsigned int genosect_t;
# define GENOSECT_ONE 0x1UL
# endif
#else
typedef unsigned int genosect_t;
# define GENOSECT_ONE 0x1UL
#endif
/*!
* Width of the genome section. Used here to create the right width
* bitsets for debugging.
*/
#define Genosect_Width (1 << N_Ins)
/*!
* The state has N_Genes bits in it. Working with N_Genes <= 8, so:
*/
typedef unsigned char state_t;
/*!
* When right-shifting the hi_mask, we need to set the top bit to 1,
* because right-shifting an unsigned integer number always zero-fills
* by default.
*/
#define state_t_top_bit 0x80
/*!
* Probability of flipping each bit of the genome during evolution.
*/
float pOn;
/*!
* Starting values of the masks used when computing inputs from a
* state. When computing input for a gene at position i, the hi_mask
* is used to obtain inputs for positions > i, the low mask for
* position < i. The hi bits are then shifted right once to make up an
* input containing N_Genes-1 bits. Must be set up using masks_init().
*/
//@{
unsigned char lo_mask_start;
unsigned char hi_mask_start;
//@}
/*!
* The mask used to get the significant bits of genome section. Set up
* using masks_init().
*/
genosect_t genosect_mask;
/*!
* The mask used to get the significant bits of a state. Set up using
* masks_init().
*/
state_t state_mask;
/*!
* Set the global target states for anterior and posterior positions.
*/
//@{
#if N_Genes == 3
state_t target_ant = 0x5; // 101 or 5 dec
state_t target_pos = 0x2; // 010 or 2 dec
#elif N_Genes == 4
state_t target_ant = 0xa; // 1010 or 10 dec
state_t target_pos = 0x5; // 0101 or 5 dec
#elif N_Genes == 5
state_t target_ant = 0x15; // 10101 or 21 dec
state_t target_pos = 0xa; // 01010 or 10 dec
#elif N_Genes == 6
state_t target_ant = 0x2a; // 101010
state_t target_pos = 0x15; // 010101
#elif N_Genes == 7
state_t target_ant = 0x55; // 1010101
state_t target_pos = 0x2a; // 0101010
#elif N_Genes > 7
# error "You'll need to set up target_ant/target_pos suitably for N_Genes > 7. Also consider the type for genosect_t. Finally, check up on state_t_unset in basins.h to go to N_Genes==8 or higher."
#else
# error "You'll need to set up target_ant/target_pos suitably for N_Genes < 3"
#endif
//@}
// Initial anterior and posterior states:
#if N_Genes == 3
state_t initial_ant = 0x4; // 100b;
state_t initial_pos = 0x0; // 000b;
#elif N_Genes == 4
state_t initial_ant = 0x8; // 1000b;
state_t initial_pos = 0x0; // 0000b;
#elif N_Genes == 5
state_t initial_ant = 0x10; // 10000b;
state_t initial_pos = 0x0; // 00000b;
#elif N_Genes == 6
state_t initial_ant = 0x20; // 100000b;
state_t initial_pos = 0x0; // 000000b;
#elif N_Genes == 7
state_t initial_ant = 0x40; // 1000000b;
state_t initial_pos = 0x0; // 0000000b;
#endif
/*!
* A global RNG. Init in each main() function
*/
RngData rd;
/*!
* Return a random single precision number between 0 and 1.
*/
float
randFloat (void)
{
#ifndef USE_SIMPLE_RAND
return static_cast<float>(UNI((&rd)));
#else
return static_cast<float>(rand()) / static_cast<float>(RAND_MAX);
#endif
}
/*!
* Return a random double precision number between 0 and 1.
*/
double
randDouble (void)
{
#ifndef USE_SIMPLE_RAND
return static_cast<double>(UNI_D((&rd)));
#else
return static_cast<double>(rand()) / static_cast<double>(RAND_MAX);
#endif
}
/*!
* Initialise the masks based on the value of N_Genes
*/
void
masks_init (void)
{
#ifdef DEBUG2
// 2 ^ (N_Genes - 1) == 1 << (N_Genes-1) == 1 << N_Ins
unsigned int l_genome = N_Genes * (1 << N_Ins);
DBG2 ("N_Genes: " << N_Genes << " N_Ins: " << N_Ins << " length of genome: " << l_genome);
#endif
// Set up globals. Set N_Ins bits to the high position for the lo_mask
lo_mask_start = 0x0;
for (unsigned int i = 0; i < N_Ins; ++i) {
lo_mask_start |= 0x1 << i;
}
hi_mask_start = 0xff & (0xff << N_Genes);
genosect_mask = 0x0;
for (unsigned int i = 0; i < (1<<N_Ins); ++i) { // 1<<N is the same as 2^N
genosect_mask |= (0x1 << i);
}
DBG2 ("genosect_mask: 0x" << hex << genosect_mask << dec); // 65535 is 16 bits
state_mask = 0x0;
for (unsigned int i = 0; i < N_Genes; ++i) {
state_mask |= (0x1 << i);
}
}
#if N_Genes == 6
array<genosect_t, N_Genes>
selected_genome (void)
{
array<genosect_t, N_Genes> genome = {{ 0x2a0b00c8d7cee66fULL, 0x1f27d5082715cd95ULL, 0x9e12d18b6b5add34ULL, 0x7ec6c4222c0dc635ULL, 0x3b72c42b80cf5d5cULL, 0x7221967e8c593e2dULL }};
return genome;
}
#elif N_Genes == 5
# if defined N_Ins_EQUALS_N_Genes
/*!
* A selected genome for k=n
*
* This is the genome given in Fig 1 of the paper for N_Genes=5 and
* also the one we'll use in the paper as the bold evolution and for
* which we show the state transitions.
*/
array<genosect_t, N_Genes>
selected_genome (void)
{
array<genosect_t, N_Genes> genome = {{ 0x8875517a, 0x5c1e87e1, 0x8eef99d4, 0x1a3c467f, 0xdf7235c6 }};
return genome;
}
# else
/*!
* A genome for k=n-1
*/
array<genosect_t, N_Genes>
selected_genome (void)
{
array<genosect_t, N_Genes> genome = {{ 0xa3bc, 0x927f, 0x7b84, 0xf57d, 0xecdc }};
return genome;
}
# endif
#endif
void
compute_next_common (const state_t& state, array<state_t, N_Genes>& inputs)
{
//@{ Common code with compute_next()
#ifndef N_Ins_EQUALS_N_Genes
state_t lo_mask = lo_mask_start;
state_t hi_mask = hi_mask_start;
#endif
for (unsigned int i = 0; i < N_Genes; ++i) {
#ifdef N_Ins_EQUALS_N_Genes
inputs[i] = ((state << i) & state_mask) | (state >> (N_Genes-i));
#else
inputs[i] = (state & lo_mask) | ((state & hi_mask) >> N_minus_k);
hi_mask = (hi_mask >> 1) | 0x80;
lo_mask >>= 1;
#endif
}
//@} End common code
}
/*!
* Choose one gene out of N_Genes to update at random.
*/
void
compute_next_async (const array<genosect_t, N_Genes>& genome, state_t& state)
{
array<state_t, N_Genes> inputs;
compute_next_common (state, inputs);
//state = 0x0; // Don't reset state.
// For one gene only
unsigned int i = floor(randDouble()*N_Genes);
//for (unsigned int i = 0; i < N_Genes; ++i) {
DBG2 ("Setting state for gene " << i);
genosect_t gs = genome[i];
genosect_t inpit = (0x1 << inputs[i]);
state_t num = ((gs & inpit) ? 0x1 : 0x0);
if (num) {
state |= (0x1 << (N_Ins-(i+ExtraOffset)));
} else {
state &= ~(0x1 << (N_Ins-(i+ExtraOffset)));
}
//}
}
/*!
* Given a state for N_Genes, and a genome, compute the next
* state. This is "develop" rather than "evolve".
*/
void
compute_next (const array<genosect_t, N_Genes>& genome, state_t& state)
{
array<state_t, N_Genes> inputs;
#ifndef N_Ins_EQUALS_N_Genes
state_t lo_mask = lo_mask_start;
state_t hi_mask = hi_mask_start;
#endif
for (unsigned int i = 0; i < N_Genes; ++i) {
#ifdef N_Ins_EQUALS_N_Genes
inputs[i] = ((state << i) & state_mask) | (state >> (N_Genes-i));
#else
inputs[i] = (state & lo_mask) | ((state & hi_mask) >> N_minus_k);
hi_mask = (hi_mask >> 1) | 0x80;
lo_mask >>= 1;
#endif
}
// Now reset state and compute new values:
state = 0x0;
// State a anterior is genome[inps[0]] etc
for (unsigned int i = 0; i < N_Genes; ++i) {
DBG2 ("Setting state for gene " << i);
genosect_t gs = genome[i];
genosect_t inpit = (0x1 << inputs[i]);
state_t num = ((gs & inpit) ? 0x1 : 0x0);
if (num) {
state |= (0x1 << (N_Ins-(i+ExtraOffset)));
} else {
state &= ~(0x1 << (N_Ins-(i+ExtraOffset)));
}
}
}
/*!
* Generate a string representation of the state. Something like "1 0 1
* 1 1" or "0 0 1 1 0".
*/
string
state_str (const state_t& state)
{
stringstream ss;
// Count down from N_Genes, to output bits in order MSB to LSB.
for (unsigned int i = N_Genes; i > 0; --i) {
unsigned int j = i-1;
ss << ((state & (0x1<<j)) >> j) << " ";
}
return ss.str();
}
/*!
* Accept a list of 1 and 0 and convert this into a state_t. Characters other than 1 and 0 are
* ignored.
*/
state_t
str2state (const string& statestr)
{
// Collect only 1 and 0 chars, in order
string sstr("");
for (unsigned int i = 0; i < statestr.size(); ++i) {
if (statestr[i] == '1' || statestr[i] == '0') {
sstr += statestr[i];
}
}
// Check length of string of 1s and 0s is not longer than N_Genes
if (sstr.size() != N_Genes) {
stringstream ee;
ee << "Wrong number of 1s and 0s (should be " << N_Genes << ")";
throw runtime_error (ee.str());
}
// Build up the return state
state_t thestate = (state_t)0x0;
for (unsigned int i = 0; i < N_Genes; ++i) {
unsigned int j = N_Genes-i-1;
if (sstr[i] == '1') {
thestate |= (0x1UL << j);
}
}
return thestate;
}
/*!
* Output a text representation of the state to stdout.
*/
void
show_state (const state_t& state)
{
for (unsigned int i = 0; i < N_Genes; ++i) {
cout << (char)((char)'a'+(char)i) << " ";
}
cout << endl;
cout << state_str (state) << endl;
}
/*!
* For mixing up bits of three args; used to generate a good random
* seed using time() getpid() and clock().
*/
unsigned int
mix (unsigned int a, unsigned int b, unsigned int c)
{
a=a-b; a=a-c; a=a^(c >> 13);
b=b-c; b=b-a; b=b^(a << 8);
c=c-a; c=c-b; c=c^(b >> 13);
a=a-b; a=a-c; a=a^(c >> 12);
b=b-c; b=b-a; b=b^(a << 16);
c=c-a; c=c-b; c=c^(b >> 5);
a=a-b; a=a-c; a=a^(c >> 3);
b=b-c; b=b-a; b=b^(a << 10);
c=c-a; c=c-b; c=c^(b >> 15);
return c;
}
/*!
* Convert from my array of genosect_t form for genome to the long
* double form used by Stuart's code. Untested; no idea if it works.
*/
long double
genome2int (array<genosect_t, N_Genes>& genome)
{
__uint128_t u = 0;
unsigned int shift = 0;
for (unsigned int i = 0; i < N_Genes; ++i) {
__uint128_t g = genome[i];
u |= (g << shift);
shift += (1 << N_Ins);
}
return (long double)u;
}
/*!
* Produce the string of 1 and 0 chars to match the format Dan
* provides genomes in.
*/
string
genome2str (array<genosect_t, N_Genes>& genome)
{
stringstream rtn;
for (unsigned int i = 0; i < N_Genes; ++i) {
for (unsigned long long int j = 0; j < (1 << N_Ins); ++j) {
genosect_t mask = GENOSECT_ONE << j;
//LOG ("mask 1<<"<<j<<": " << hex << (unsigned long long int)mask << dec);
rtn << ((genome[i]&mask) >> j);
}
}
return rtn.str();
}
/*!
* Take a string of 1s and 0s and convert this into an
* array<genosect_t, N_Genes>.
*/
array<genosect_t, N_Genes>
str2genome (const string& s)
{
array<genosect_t, N_Genes> g;
// Init g
for (unsigned int i = 0; i < N_Genes; ++i) {
g[i] = 0x0;
}
// Check length of string.
unsigned int l = s.length();
unsigned int l_genosect = GENOSECT_ONE << N_Ins;
unsigned int l_genome = N_Genes * l_genosect;
if (l == l_genome) {
DBG ("String has " << l_genome << " bit chars as required...");
} else {
return g;
}
for (unsigned int i = 0; i < N_Genes; ++i) {
for (unsigned int j = 0; j < l_genosect; ++j) {
bool high = (s[j + i*l_genosect] == '1');
if (high) {
g[i] |= GENOSECT_ONE << j;
} // else do nothing.
}
}
return g;
}
/*!
* Convert a vector of booleans (Stuart's format for the genome) into
* an array of genosect_ts.
*/
array<genosect_t, N_Genes>
vecbool2genome (const vector<bool>& vb)
{
array<genosect_t, N_Genes> g;
// Init g
for (unsigned int i = 0; i < N_Genes; ++i) {
g[i] = 0x0;
}
// Check length of vector of bools
unsigned int l = vb.size();
unsigned int l_genosect = GENOSECT_ONE << N_Ins;
unsigned int l_genome = N_Genes * l_genosect;
if (l == l_genome) {
DBG ("Vector has " << l_genome << " bit bools as required...");
} else {
return g;
}
for (unsigned int i = 0; i < N_Genes; ++i) {
for (unsigned int j = 0; j < l_genosect; ++j) {
if (vb[j + i*l_genosect]) {
g[i] |= GENOSECT_ONE << j;
} // else do nothing.
}
}
return g;
}
/*!
* Output the genome in a string containing hex representations of the
* N_Genes genosects.
*/
string
genome_id (const array<genosect_t, N_Genes>& genome)
{
stringstream ss;
ss << hex;
bool first = true;
for (unsigned int i = 0; i<N_Genes; ++i) {
if (first) {
first = false;
ss << (genome[i] & genosect_mask);
} else {
ss << "-" << (genome[i] & genosect_mask);
}
}
ss << dec;
return ss.str();
}
/*!
* A debugging aid to display the genome in a little table.
*/
void
show_genome (const array<genosect_t, N_Genes>& genome)
{
cout << "Genome:" << endl;
bool first = true;
for (unsigned int i = 0; i<N_Genes; ++i) {
if (first) {
first = false;
cout << (char)('a'+i);
} else {
cout << " " << (char)('a'+i);
}
}
cout << endl;
cout << hex;
first = true;
for (unsigned int i = 0; i<N_Genes; ++i) {
if (first) {
first = false;
cout << "0x" << genome[i];
} else {
cout << " 0x" << genome[i];
}
}
cout << dec << endl;
cout << "Genome table:" << endl;
cout << "input output" << endl;
for (unsigned int i = N_Ins; i > 0; --i) {
cout << (i-1);
}
cout << " ";
for (unsigned int i = 0; i < N_Genes; ++i) {
cout << i << " ";
}
cout << "<-- for input, bit posn; for output, array index";
#if N_Genes == 5
# if defined N_Ins_EQUALS_N_Genes
cout << endl << "----------------" << endl;
cout << "12345 abcde <-- 1,2,3,4,5 is i ii iii iv v in Fig 1." << endl;
# else
cout << endl << "-----------------" << endl;
cout << "1234 abcde <-- 1,2,3,4 is i ii iii iv in Fig 1." << endl;
# endif
#else
for (unsigned int i = 0; i<N_Ins; ++i) {
cout << i;
}
cout << " ";
for (unsigned int i = 0; i<N_Genes; ++i) {
cout << " " << (char)('a'+i);
}
cout << endl;
#endif
cout << "----------------" << endl;
for (unsigned int j = 0; j < (1 << N_Ins); ++j) {
cout << bitset<N_Ins>(j) << " ";
for (unsigned int i = 0; i < N_Genes; ++i) {
genosect_t mask = GENOSECT_ONE << j;
cout << ((genome[i]&mask) >> j);
}
cout << endl;
}
}
/*!
* Set the genome g to zero.
*/
void
zero_genome (array<genosect_t, N_Genes>& g)
{
#pragma omp simd
for (unsigned int i = 0; i < N_Genes; ++i) {
g[i] = 0;
}
}
/*!
* Copy the contents of @from to @to
*/
void
copy_genome (const array<genosect_t, N_Genes>& from, array<genosect_t, N_Genes>& to)
{
#pragma omp simd
for (unsigned int i = 0; i < N_Genes; ++i) {
to[i] = from[i];
}
}
/*!
* This one will, rather than flipping each bit with a certain
* probability, instead flip bits_to_flip bits, selected randomly.
*/
void
evolve_genome (array<genosect_t, N_Genes>& genome, unsigned int bits_to_flip)
{
#ifdef DEBUG
unsigned int numflipped = 0;
#endif
unsigned int genosect_w = (GENOSECT_ONE << N_Ins);
unsigned int lgenome = N_Genes * genosect_w;
// Init a list containing all the indices, lgenome long. As bits
// are flipped, we'll remove from this list, ensuring that the
// random selection of the remaining bits remains fair.
list<unsigned int> idices;
for (unsigned int b = 0; b < lgenome; ++b) {
idices.push_back (b);
}
for (unsigned int b = 0; b < bits_to_flip; ++b) {
unsigned int r = static_cast<unsigned int>(floor(randDouble() * (double)lgenome));
// Catch the edge case (where randDouble() returned exactly 1.0)
if (r == lgenome) {
--r;
}
// The bit to flip is *i, after these two lines:
list<unsigned int>::iterator i = idices.begin();
for (unsigned int rr = 0; rr < r; ++rr, ++i) {}
unsigned int j = *i;
// Find out which genome sect j is in.
unsigned int gi = j / genosect_w;
DBG ("Genome section gi= " << gi << " which is an offset of " << (gi*genosect_w));
genosect_t gsect = genome[gi];
j -= (gi*genosect_w);
#ifdef DEBUG
++numflipped;
DBG ("Flipping bit " << j+(gi*genosect_w));
#endif
gsect ^= (GENOSECT_ONE << j);
genome[gi] = gsect;
--lgenome;
}
DBG ("Num flipped: " << numflipped);
}
/*!
* The evolution function. Note that this function depends on the
* existence of a global variable pOn.
*/
void
evolve_genome (array<genosect_t, N_Genes>& genome)
{
#ifdef DEBUG
unsigned int numflipped = 0;
#endif
for (unsigned int i = 0; i < N_Genes; ++i) {
genosect_t gsect = genome[i];
for (unsigned int j = 0; j < (1<<N_Ins); ++j) {
if (randDouble() < pOn) {
// Flip bit j
#ifdef DEBUG
++numflipped;
#endif
gsect ^= (GENOSECT_ONE << j);
}
}
genome[i] = gsect;
}
DBG ("Num flipped: " << numflipped);
}
/*!
* Flip one bit in the passed in genome at index flipidx
*/
void
bitflip_genome (array<genosect_t, N_Genes>& genome, unsigned int theGenosect, unsigned int extra)
{
DBG2("Genosect " << theGenosect << " plus " << extra);
genome[theGenosect] ^= (GENOSECT_ONE << extra);
}
/*!
* A version of evolve_genome which adds to a count of the number of
* flips made in each genosect. Was used for code verification.
*/
void
evolve_genome (array<genosect_t, N_Genes>& genome, array<unsigned long long int, N_Genes>& flipcount)
{
for (unsigned int i = 0; i < N_Genes; ++i) {
genosect_t gsect = genome[i];
for (unsigned int j = 0; j < (1<<N_Ins); ++j) {
if (randFloat() < pOn) {
// Flip bit j
++flipcount[i];
gsect ^= (GENOSECT_ONE << j);
}
}
genome[i] = gsect;
}
}
/*!
* A random genome which makes exactly the same number of calls to the
* RNG as Stuart Wilson's implementation.
*/
void
random_genome_sw (array<genosect_t, N_Genes>& genome) {
long int nbits = N_Genes * (1<<N_Ins);
vector<bool> G(nbits, false);
for(long int i=0;i<nbits;i++){
// Don't use RngData for this random number, as we're reproducing SW's result
double rd = ((double) rand())/(double)RAND_MAX;
G[i] = (rd<0.5) ? true : false;
//cout << "rand double = " << rd << "G["<<i<<"]=" << G[i] << endl;
}
// Now convert G to genome
genome = vecbool2genome (G);
}
/*!
* Populate the passed in genome with random bits.
*/
void
random_genome (array<genosect_t, N_Genes>& genome)
{
for (unsigned int i = 0; i < N_Genes; ++i) {
#ifndef USE_SIMPLE_RAND
genome[i] = ((genosect_t) SHR3((&rd))) & genosect_mask;
#else
genome[i] = ((genosect_t) rand()) & genosect_mask;
#endif
}
}
/*!
* Generate a random genome and return it.
*/
array<genosect_t, N_Genes>
random_genome (void)
{
array<genosect_t, N_Genes> genome;
for (unsigned int i = 0; i < N_Genes; ++i) {
#ifndef USE_SIMPLE_RAND
genome[i] = ((genosect_t) SHR3((&rd))) & genosect_mask;
#else
genome[i] = ((genosect_t) rand()) & genosect_mask;
#endif
}
return genome;
}
/*!
* Computes the Hamming distance between state and target. This is
* equal to the number of bit positions at which state and target
* differ.
*/
state_t
compute_hamming (state_t state, state_t target)
{
// For this very short type, a lookup is probably faster than this intrinsic:
state_t bits = state ^ target;
unsigned int hamming = _mm_popcnt_u32 ((unsigned int)bits);
return static_cast<state_t>(hamming);
}
/*!
* Compute Hamming distance between two genomes.
*/
unsigned int
compute_hamming (const array<genosect_t, N_Genes>& g1,
const array<genosect_t, N_Genes>& g2)
{
unsigned int hamming = 0;
for (unsigned int i = 0; i < N_Genes; ++i) {
genosect_t bits = g1[i] ^ g2[i]; // XOR
hamming += _mm_popcnt_u32 ((unsigned int)bits);
}
return hamming;
}
/*!
* This function obtained from
* https://compprog.wordpress.com/2007/10/17/generating-combinations-1/
*
* next_combination (int comb[], int k, int n)
* Generates the next combination of n elements as k after comb
*
* I.e. produces n choose k combinations.
*
* comb => the previous combination ( use (0, 1, 2, ..., k) for first)
* k => the size of the subsets to generate
* n => the size of the original set
*
* Returns: 1 if a valid combination was found
* 0, otherwise
*/
int
next_combination (int comb[], int k, int n)
{
int i = k - 1;
++comb[i];
while ((i >= 0) && (comb[i] >= n - k + 1 + i)) {
--i;
++comb[i];
}
if (comb[0] > n - k) { /* Combination (n-k, n-k+1, ..., n) reached */
/* Peculiar bug occurs here on returning when called within combos.cpp */
return 0; /* No more combinations can be generated */
}
/* comb now looks like (..., x, n, n, n, ..., n).
Turn it into (..., x, x + 1, x + 2, ...) */
for (i = i + 1; i < k; ++i) {
comb[i] = comb[i - 1] + 1;
}
return 1;
}
/*!
* Prints out a combination like {1, 2} for debugging
*/
void
printc (int comb[], int k)
{
printf ("{");
int i;
for (i = 0; i < k; ++i) {
printf("%d, ", comb[i] + 1);
}
printf ("\b\b}\n");
}
/*!
* Returns a string of len 1s and 0s in the unsigned int ui.
*/
string
uint_str (const unsigned int& ui, int len)
{
stringstream ss;
// Count down from N_Genes, to output bits in order MSB to LSB.
for (unsigned int i = len; i > 0; --i) {
unsigned int j = i-1;
ss << ((ui & (0x1<<j)) >> j);
}
return ss.str();
}
/*!
* Prints out a combination in binary format, like: {001, 010}
* etc. Could count zeros in cols and print out here.
*/
void
printc_binary (int comb[], int k, int w)
{
for (int i = 0; i < k; ++i) {
cout << uint_str (comb[i], w) << "\n";
}
cout << "---\n";
}
/*!
* This counts the zeros in the column(s) indicated by show_zeros_mask
* and returns 1 if there were all zeros on those column(s)
*
* comb The array of possible combinations generated by calls to
* next_combination
*
* l is the number of states considered - this is the limit cycle
* length in my application.
*
* ng bit width of the numbers - this is number of genes.
*
* show_zeros_mask - a bit mask for the cols for which we should count
* zero columns.
*
* m is the column number for which I want to count the possible
* combinations for which a preceding zero column would make the score
* zero.
*
* prec_zcs is incremented if the state set under consideration has
* zero columns in any column up to col m-1.
*/
int
printc_binary (int comb[], int l, int ng,
int show_zeros_mask, float& score, int m, int& prec_zcs, int& zcs)
{
int rtn = 0;
int zeros = 0;
float cols[ng];
for (unsigned int c = 0; c < (unsigned int)ng; ++c) {
cols[c] = 0;
}
for (int s = 0; s < l; ++s) {
for (unsigned int c = 0; c < (unsigned int)ng; ++c) {
cols[c] += (comb[s] & (1<<c)) >> c;
}
if (show_zeros_mask
&& ((comb[s] ^ show_zeros_mask) & show_zeros_mask) == show_zeros_mask) {
zeros++;
}
cout << uint_str (comb[s], ng) << "\n";
}
if (zeros == l) {
cout << "ZCol," << uint_str(show_zeros_mask, ng) << ",";
for (int s = 0; s < l; ++s) {
for (unsigned int c = 0; c < (unsigned int)ng; ++c) {
cout << ((comb[s] & (1<<c)) >> c);
}
cout << ",";
}
cout << endl;
rtn = 1;
}
// Record scores for each column. Increment a count if we had zeros
// in any column up to m.
score = 1.0f;
bool incremented_prec_zcs = false;
for (unsigned int c = 0; c < (unsigned int)ng; ++c) {
cols[c] = cols[c]/(float)l;
//cout << "score = " << score << " * " << cols[c] << endl;
score = score * cols[c];
if (c < (unsigned int)m && cols[c] == 0.0f && !incremented_prec_zcs) {
prec_zcs++;
incremented_prec_zcs = true;
}
if (c == (unsigned int)m && cols[c] == 0.0f && !incremented_prec_zcs) {
zcs++;
}
}
cout << "score: " << score << endl;
cout << "---\n";
return rtn;
}
/*!
* Some string manipulation
*/
vector<string>
stringToVector (const string& s, const string& separator,
const bool ignoreTrailingEmptyVal)
{
if (separator.empty()) {
throw runtime_error ("Can't split the string; the separator is empty.");
}
vector<string> theVec;
string entry("");
string::size_type sepLen = separator.size();
string::size_type a=0, b=0;
while (a < s.size()
&& (b = s.find (separator, a)) != string::npos) {
entry = s.substr (a, b-a);
theVec.push_back (entry);
a=b+sepLen;
}
// Last one has no separator
if (a < s.size()) {
b = s.size();
entry = s.substr (a, b-a);
theVec.push_back (entry);
} else {
if (!ignoreTrailingEmptyVal) {
theVec.push_back ("");
}
}
return theVec;
}
/*!
* Is the function defined by the genosect_t @gs a canalysing function?
*
* If not, return (unsigned int)0, otherwise return the number of bits for which the function is
* canalysing - this may be called canalysing "depth".
*/
unsigned int
isCanalyzing (const genosect_t& gs)
{
bitset<N_Ins> acanal_set;
//array<bool, N_Ins> acanal_set;
bitset<N_Ins> acanal_unset;
//array<bool, N_Ins> acanal_unset;
array<int, N_Ins> setbitivalue;
array<int, N_Ins> unsetbitivalue;
unsigned int canal = 0;
for (unsigned int i = 0; i < N_Ins; ++i) {
acanal_set[i] = false;
acanal_unset[i] = false;
setbitivalue[i] = -1;
unsetbitivalue[i] = -1;
}
// Test each bit. If bit's state always leads to same result in gs, then canalysing is true
// for that bit.
for (unsigned int i = 0; i < N_Ins; ++i) {
//DBG2 ("*** Testing bit " << i << " ***");
// Test bit i. First assume it IS canalysing for this bit
acanal_set.set(i);
acanal_unset.set(i);
// Iterate over the rows in the truth table
for (unsigned int j = 0; j < (0x1 << N_Ins); ++j) {
// if (bit i in row j is on)
if ((j & (1UL<<i)) == (1UL<<i)) {
if (setbitivalue[i] == -1) {
// -1 means we haven't yet recorded an output from gs, so record it:
setbitivalue[i] = (int)(1UL&(gs>>j));
//DBG2 ("bit "<<i<<" in "<<j<<" is on. Right shift gs=" << gs
// << " by j=" << j << " bits to get " << setbitivalue[i]);
} else {
//DBG2 ("bit "<<i<<" in "<<j<<" is on. Right shift gs=" << gs
// << " by j=" << j << " bits and compare with " << setbitivalue[i]);
if (setbitivalue[i] != (int)(1UL&(gs>>j))) {
// Cannot be canalysing for bit i set to 1.
//DBG2 ("Cannot be canalysing for bit " <<i<< " on");
acanal_set.reset(i);
}
}
} else {
// (bit i in row j is off)
if (unsetbitivalue[i] == -1) {
// Haven't yet recorded an output from gs, so record it:
unsetbitivalue[i] = (int)(1UL&(gs>>j));
//DBG2 ("bit "<<i<<" in "<<j<<" is off. Right shift gs=" << gs
// << " by j=" << j << " bits to get " << unsetbitivalue[i]);
} else {
//DBG2 ("bit "<<i<<" in "<<j<<" is off. Right shift gs=" << gs
// << " by j=" << j << " bits and compare with " << unsetbitivalue[i]);
if (unsetbitivalue[i] != (int)(1UL&(gs>>j))) {
// Cannot be canalysing for bit i set to 0
//DBG2 ("Cannot be canalysing for bit " <<i<< " off");
acanal_unset.reset(i) = false;
}
}
}
}
}
// Count up
for (unsigned int i = 0; i < N_Ins; ++i) {
if (acanal_set.test(i) == true) {
canal++;
DBG2 ("Bit " << i << "=1 produces a consistent output value");
}
if (acanal_unset.test(i) == true) {
canal++;
DBG2 ("Bit " << i << "=0 produces a consistent output value");
}
}
return canal;
}
/*!
* Test each section of the genosect and determine how many of the truth tables are canalysing
* functions. Return the number of truth tables that are canalysing.
*/
unsigned int
canalyzingness (const array<genosect_t, N_Genes>& g1)
{
unsigned int canal = 0;
for (unsigned int i = 0; i < N_Genes; ++i) {
DBG2 ("=== isCanalysing? genome section " << i << " ===");
unsigned int _canal = isCanalyzing (g1[i]);
DBG2 ("Section " << i << " has canalysing value: " << _canal);
canal += _canal;
}
return canal;
}
/*!
* Compute the bias; the proportion of set bits in the genome.
*/
double
bias (const array<genosect_t, N_Genes>& g1)
{
unsigned int bits = 0;
for (unsigned int i = 0; i < N_Genes; ++i) {
for (unsigned int j = 0; j < (0x1 << N_Genes); ++j) {
bits += ((g1[i] >> j) & 0x1) ? 1 : 0;
}
}
return (double)bits/(double)(N_Genes*(1<<N_Genes));
}
#endif // __LIB_H__
|
dualize.h | /* Copyright 2013 IST Austria
Contributed by: Ulrich Bauer, Michael Kerber, Jan Reininghaus
This file is part of PHAT.
PHAT 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 3 of the License, or
(at your option) any later version.
PHAT 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 PHAT. If not, see <http://www.gnu.org/licenses/>. */
#pragma once
#include <phat/helpers/misc.h>
#include <phat/boundary_matrix.h>
#include <phat/persistence_pairs.h>
namespace phat {
template< typename Representation >
void dualize( boundary_matrix< Representation >& boundary_matrix ) {
std::vector< dimension > dual_dims;
std::vector< std::vector< index > > dual_matrix;
index nr_of_columns = boundary_matrix.get_num_cols();
dual_matrix.resize( nr_of_columns );
dual_dims.resize( nr_of_columns );
std::vector< index > dual_sizes( nr_of_columns, 0 );
column temp_col;
for( index cur_col = 0; cur_col < nr_of_columns; cur_col++ ) {
boundary_matrix.get_col( cur_col, temp_col );
for( index idx = 0; idx < (index)temp_col.size(); idx++)
dual_sizes[ nr_of_columns - 1 - temp_col[ idx ] ]++;
}
#pragma omp parallel for
for( index cur_col = 0; cur_col < nr_of_columns; cur_col++ )
dual_matrix[cur_col].reserve(dual_sizes[cur_col]);
for( index cur_col = 0; cur_col < nr_of_columns; cur_col++ ) {
boundary_matrix.get_col( cur_col, temp_col );
for( index idx = 0; idx < (index)temp_col.size(); idx++)
dual_matrix[ nr_of_columns - 1 - temp_col[ idx ] ].push_back( nr_of_columns - 1 - cur_col );
}
const dimension max_dim = boundary_matrix.get_max_dim();
#pragma omp parallel for
for( index cur_col = 0; cur_col < nr_of_columns; cur_col++ )
dual_dims[ nr_of_columns - 1 - cur_col ] = max_dim - boundary_matrix.get_dim( cur_col );
#pragma omp parallel for
for( index cur_col = 0; cur_col < nr_of_columns; cur_col++ )
std::reverse( dual_matrix[ cur_col ].begin(), dual_matrix[ cur_col ].end() );
boundary_matrix.load_vector_vector( dual_matrix, dual_dims );
}
void dualize_persistence_pairs( persistence_pairs& pairs, const index n ) {
for (index i = 0; i < pairs.get_num_pairs(); ++i) {
std::pair< index, index > pair = pairs.get_pair( i );
pairs.set_pair( i , n - 1 - pair.second, n - 1 - pair.first);
}
}
}
|
3d25pt_var.c | /*
* Order-1, 3D 25 point stencil with axis-symmetric ariable 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])+8;
Ny = atoi(argv[2])+8;
Nz = atoi(argv[3])+8;
}
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***)*13);
for(m=0; m<13;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] = 4;
tile_size[1] = 4;
tile_size[2] = 8;
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<13; 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; t++) {
for (i = 4; i < Nz-4; i++) {
for (j = 4; j < Ny-4; j++) {
for (k = 4; k < Nx-4; 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 ] + A[(t)%2][i+1][j ][k ]) +
coef[2][i][j][k] * (A[(t)%2][i ][j-1][k ] + A[(t)%2][i ][j+1][k ]) +
coef[3][i][j][k] * (A[(t)%2][i ][j ][k-1] + A[(t)%2][i ][j ][k+1]) +
coef[4][i][j][k] * (A[(t)%2][i-2][j ][k ] + A[(t)%2][i+2][j ][k ]) +
coef[5][i][j][k] * (A[(t)%2][i ][j-2][k ] + A[(t)%2][i ][j+2][k ]) +
coef[6][i][j][k] * (A[(t)%2][i ][j ][k-2] + A[(t)%2][i ][j ][k+2]) +
coef[7][i][j][k] * (A[(t)%2][i-3][j ][k ] + A[(t)%2][i+3][j ][k ]) +
coef[8][i][j][k] * (A[(t)%2][i ][j-3][k ] + A[(t)%2][i ][j+3][k ]) +
coef[9][i][j][k] * (A[(t)%2][i ][j ][k-3] + A[(t)%2][i ][j ][k+3]) +
coef[10][i][j][k]* (A[(t)%2][i-4][j ][k ] + A[(t)%2][i+4][j ][k ]) +
coef[11][i][j][k]* (A[(t)%2][i ][j-4][k ] + A[(t)%2][i ][j+4][k ]) +
coef[12][i][j][k]* (A[(t)%2][i ][j ][k-4] + A[(t)%2][i ][j ][k+4]) ;
}
}
}
}
#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(4, "variable axis-symmetric")
#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<13;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;
}
|
GB_unaryop__minv_bool_int32.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__minv_bool_int32
// op(A') function: GB_tran__minv_bool_int32
// C type: bool
// A type: int32_t
// cast: ;
// unaryop: cij = true
#define GB_ATYPE \
int32_t
#define GB_CTYPE \
bool
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
;
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = true ;
// casting
#define GB_CASTING(z, 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_MINV || GxB_NO_BOOL || GxB_NO_INT32)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop__minv_bool_int32
(
bool *Cx, // Cx and Ax may be aliased
int32_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__minv_bool_int32
(
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_binop__second_uint64.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__second_uint64
// A.*B function (eWiseMult): GB_AemultB__second_uint64
// A*D function (colscale): GB_AxD__second_uint64
// D*A function (rowscale): GB_DxB__second_uint64
// C+=B function (dense accum): GB_Cdense_accumB__second_uint64
// C+=b function (dense accum): GB_Cdense_accumb__second_uint64
// C+=A+B function (dense ewise3): (none)
// C=A+B function (dense ewise3): GB_Cdense_ewise3_noaccum__second_uint64
// C=scalar+B (none)
// C=scalar+B' (none)
// C=A+scalar GB_bind2nd__second_uint64
// C=A'+scalar GB_bind2nd_tran__second_uint64
// C type: uint64_t
// A type: uint64_t
// B,b type: uint64_t
// BinaryOp: cij = bij
#define GB_ATYPE \
uint64_t
#define GB_BTYPE \
uint64_t
#define GB_CTYPE \
uint64_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) \
;
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB) \
uint64_t bij = Bx [pB]
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
uint64_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 = y ;
// op is second
#define GB_OP_IS_SECOND \
1
// 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_SECOND || GxB_NO_UINT64 || GxB_NO_SECOND_UINT64)
//------------------------------------------------------------------------------
// C += A+B, all 3 matrices dense
//------------------------------------------------------------------------------
#if 0
// The op must be MIN, MAX, PLUS, MINUS, RMINUS, TIMES, DIV, or RDIV.
void (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
//------------------------------------------------------------------------------
GrB_Info GB_Cdense_ewise3_noaccum__second_uint64
(
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__second_uint64
(
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__second_uint64
(
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 uint64_t
uint64_t bwork = (*((uint64_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__second_uint64
(
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
uint64_t *GB_RESTRICT Cx = (uint64_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__second_uint64
(
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
uint64_t *GB_RESTRICT Cx = (uint64_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__second_uint64
(
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__second_uint64
(
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
//------------------------------------------------------------------------------
#if 0
GrB_Info (none)
(
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
uint64_t *Cx = (uint64_t *) Cx_output ;
uint64_t x = (*((uint64_t *) x_input)) ;
uint64_t *Bx = (uint64_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 ;
uint64_t bij = Bx [p] ;
Cx [p] = bij ;
}
return (GrB_SUCCESS) ;
#endif
}
#endif
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB_bind2nd__second_uint64
(
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 ;
uint64_t *Cx = (uint64_t *) Cx_output ;
uint64_t *Ax = (uint64_t *) Ax_input ;
uint64_t y = (*((uint64_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
; ;
Cx [p] = y ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (x, A'): transpose and apply a binary operator
//------------------------------------------------------------------------------
#if 0
// cij = op (x, aij), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
uint64_t aij = Ax [pA] ; \
Cx [pC] = aij ; \
}
GrB_Info (none)
(
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 \
uint64_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint64_t x = (*((const uint64_t *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
uint64_t
}
#endif
//------------------------------------------------------------------------------
// 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) \
{ \
; ; \
Cx [pC] = y ; \
}
GrB_Info GB_bind2nd_tran__second_uint64
(
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
uint64_t y = (*((const uint64_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
omp_basic.c | /*******************************************************************************
* Copyright 2019 UChicago Argonne, LLC.
* (c.f. AUTHORS, LICENSE)
*
* This file is part of the nrm-extra project.
* For more info, see https://github.com/anlsys/nrm-extra
*
* SPDX-License-Identifier: BSD-3-Clause
*******************************************************************************/
#include <omp.h>
#include <stdio.h>
int main(int argc, char **argv)
{
int size, rank;
#pragma omp parallel
{
size = omp_get_num_threads();
rank = omp_get_thread_num();
}
fprintf(stdout, "Hello, I'm %u of %u\n", rank, size);
return 0;
}
|
optimized_bct_types.h | #pragma once
#define EIGEN_NO_DEBUG
#define MKL_DIRECT_CALL_SEQ_JIT
//#define PROFILING
#define CACHE_LINE_WIDTH 64 // length of cache line measured in bytes
#define CACHE_LINE_LENGHT 8 // length of cache line measured in number of doubles
//#define restrict __restrict
#define restrict
#define ALIGN CACHE_LINE_WIDTH // MKL suggests 64-byte alignment
#define CHUNK_SIZE CACHE_LINE_LENGHT
#define RAGGED_SCHEDULE schedule( guided, CHUNK_SIZE)
#define SAFE_ALLOCATE_WARNINGS
//#define USE_NORMALS_ONLY // If defined, then CreateOptimizedBVH will create BVHs whose cluster data contain averaged normals. This may lead to incorrect terms in the far field of the lower order metric.
#include <mkl.h>
#include <tbb/cache_aligned_allocator.h>
#include <algorithm>
#include <omp.h>
#include <deque>
#include <vector>
#include <iterator>
#include <memory>
#include <unistd.h>
#include <string>
#include <chrono>
#include <Eigen/Dense>
#include <Eigen/Sparse>
#include <iostream>
#include "bct_kernel_type.h"
#include "profiler.h"
namespace rsurfaces
{
// "In know only two types: integers and doubles..."
typedef MKL_INT mint; // "machine integer" -- ensuring that we use the integer type requested by MKL. I find "MKL_INT" a bit clunky, though.
typedef double mreal; // "machine real"
class Timers
{
public:
static std::deque<std::chrono::time_point<std::chrono::steady_clock>> time_stack;
static std::chrono::time_point<std::chrono::steady_clock> start_time;
static std::chrono::time_point<std::chrono::steady_clock> stop_time;
};
inline void print(std::string s)
{
// std::cout << (std::string( 2 * (Timers::time_stack.size() + 1), ' ') + s) << std::endl;
std::cout << s << std::endl;
}
template <typename T>
inline void valprint(std::string s, T val)
{
// std::cout << (std::string( 2 * (Timers::time_stack.size() + 1), ' ') + s) << " = " << val << std::endl;
std::cout << s << " = " << val << std::endl;
}
template <typename T>
inline void valprint(std::string s, T * begin, T * end)
{
// std::cout << (std::string( 2 * (Timers::time_stack.size() + 1), ' ') + s) << " = [ ";
std::cout << s << " = [ ";
if( (begin) && end > begin )
{
for( T * ptr = begin; ptr < end-1 ; ++ptr)
{
std::cout << *ptr << ", ";
}
std::cout << *(end-1);
}
std::cout << " ]" << std::endl;
}
// template <typename T>
// inline void valprint(std::string s, mint * begin, mint * end, T * array)
// {
// std::cout << (std::string( 2 * (Timers::time_stack.size() + 1), ' ') + s) << " = [ ";
// if( end > begin )
// {
// for( T * ptr = begin; ptr < end-1 ; ++ptr)
// {
// std::cout << array[*ptr] << ", ";
// }
// std::cout << array[*end];
// }
// std::cout << " ]" << std::endl;
// }
inline void eprint(std::string s)
{
std::cout << (std::string( 2 * (Timers::time_stack.size() + 1), ' ') + "ERROR: " + s) << std::endl;
}
inline void wprint(std::string s)
{
std::cout << (std::string( 2 * (Timers::time_stack.size() + 1), ' ') + "WARNING: " + s) << std::endl;
}
inline void tic(std::string s)
{
Timers::time_stack.push_back(std::chrono::steady_clock::now());
std::cout << (std::string( 2 * Timers::time_stack.size(), ' ') + s + "...") << std::endl;
}
inline mreal toc(std::string s)
{
if (!Timers::time_stack.empty())
{
auto start_time = Timers::time_stack.back();
auto stop_time = std::chrono::steady_clock::now();
mreal duration = std::chrono::duration<double>(stop_time - start_time).count();
std::cout << (std::string( 2 * Timers::time_stack.size(), ' ') + std::to_string(duration) + " s.") << std::endl;
Timers::time_stack.pop_back();
return duration;
}
else
{
std::cout << ("Unmatched toc detected. Label = " + s) << std::endl;
return 0.;
}
}
inline void tic()
{
Timers::time_stack.push_back(std::chrono::steady_clock::now());
}
inline mreal toc()
{
if (!Timers::time_stack.empty())
{
auto start_time = Timers::time_stack.back();
auto stop_time = std::chrono::steady_clock::now();
mreal duration = std::chrono::duration<double>(stop_time - start_time).count();
Timers::time_stack.pop_back();
return duration;
}
else
{
std::cout << ("Unmatched toc detected.") << std::endl;
return 0.;
}
}
// double allocation helpers
template <typename T>
int safe_free( T * & ptr )
{
int wasallocated = (ptr != nullptr);
if( wasallocated ){ mkl_free(ptr); ptr = nullptr; }
return !wasallocated;
}
template <typename T>
int safe_alloc(T * & ptr, size_t size)
{
int wasallocated = (ptr != nullptr);
if( wasallocated )
{
#ifdef SAFE_ALLOCATE_WARNINGS
wprint("safe_alloc: Pointer was not NULL. Calling safe_free to prevent memory leak.");
#endif
safe_free(ptr);
}
ptr = (T *) mkl_malloc ( size * sizeof(T), ALIGN );
return wasallocated;
}
template <typename T>
int safe_alloc( T * & ptr, size_t size, T init)
{
int wasallocated = safe_alloc(ptr, size);
#pragma omp simd aligned( ptr : ALIGN )
for( size_t i = 0; i < size; ++i )
{
ptr[i] = init;
}
return wasallocated;
}
template <typename T>
int safe_iota(T * & ptr, size_t size, T step = static_cast<T>(1) )
{
int wasallocated = safe_alloc(ptr, size);
#pragma omp simd aligned( ptr : ALIGN )
for( size_t i = 0; i < size; i+=step )
{
ptr[i] = i;
}
return wasallocated;
}
template <typename T>
inline void partial_sum( T * begin, T * end)
{
std::partial_sum( begin, end, begin );
}
typedef Eigen::SparseMatrix<mreal, Eigen::RowMajor, mint> EigenMatrixCSR;
typedef Eigen::SparseMatrix<mreal> EigenMatrixCSC;
typedef Eigen::Matrix<mreal, Eigen::Dynamic, Eigen::Dynamic, Eigen::RowMajor> EigenMatrixRM;
typedef Eigen::MatrixXd EigenMatrixCM;
// I am not that knowledgable about allocators; tbb::cache_aligned_allocator seemed to work well for allocating thread-owned vectors. And I simply used it for the rest, too, because should also provide good alignment for SIMD instructions (used in MKL routines). DO NOT USE A_Vector OR A_Deque FOR MANY SMALL ARRAYS. I typically allicate only very large arrays, so the exrta memory consumption should not be an issue.
template <typename T>
using A_Vector = std::vector<T, tbb::cache_aligned_allocator<T>>;
template <typename T>
using A_Deque = std::deque<T, tbb::cache_aligned_allocator<T>>;
//template <typename T>
//using A_Vector = std::vector<T>; // about 10% more performance with cache-alined storage
//
//template <typename T>
//using A_Deque = std::deque<T>;
struct PardisoData
{
mint n = 0;
mint mtype = 11; /* Matrix type */
mint * restrict perm = nullptr; /* Permutation */
mint * restrict iparm = nullptr; /* Integer parameter array for controlling pardiso */
A_Vector<void*> pt; /* Pointer used internally by pardiso to store its data */
bool symfactorized = false;
bool numfactorized = false;
PardisoData(){};
~PardisoData(){
safe_free(perm);
safe_free(iparm);
};
// Copy constructor
PardisoData( PardisoData const & P )
{
n = P.n;
mtype = P.mtype;
pt = P.pt;
symfactorized = P.symfactorized;
numfactorized = P.numfactorized;
if( P.perm )
{
const mint * const restrict ptr = P.perm;
safe_alloc( perm, n );
#pragma omp simd aligned( perm, ptr : ALIGN)
for( mint i = 0; i < n; ++i )
{
perm[i] = ptr[i];
}
}
if( P.iparm )
{
const mint * const restrict ptr = P.iparm;
safe_alloc( iparm, 64);
#pragma omp simd aligned( iparm, ptr : ALIGN)
for( mint i = 0; i < 64; ++i )
{
iparm[i] = ptr[i];
}
}
}
// Move constructor
PardisoData( PardisoData && P )
{
n = std::move(P.n);
mtype = std::move(P.mtype);
pt = std::move(P.pt);
symfactorized = std::move(P.symfactorized);
numfactorized = std::move(P.numfactorized);
perm = std::move(P.perm);
iparm = std::move(P.iparm);
}
PardisoData &operator=(PardisoData P)
{
P.swap(*this);
return *this;
}
private:
void swap(PardisoData &P) throw()
{
std::swap(this->n, P.n);
std::swap(this->mtype, P.mtype);
std::swap(this->pt, P.pt);
std::swap(this->symfactorized, P.symfactorized);
std::swap(this->numfactorized, P.numfactorized);
std::swap(this->perm, P.perm);
std::swap(this->iparm, P.iparm);
}
}; // PardisoData
struct MKLSparseMatrix //A container to hold generic sparse array data and to perform MKL matrix-matrix-multiplication routines
{
mint m = 0;
mint n = 0;
mint nnz = 0;
mint * restrict outer = nullptr;
mint * restrict inner = nullptr;
mreal * restrict values = nullptr;
PardisoData P;
matrix_descr descr;
// MKLSparseMatrix( SparseMatrix A ) : MKLSparseMatrix( A.rows(), A.cols(), A.outerIndexPtr(), A.innerIndexPtr(), A.valuePtr() ){}; //dunno why this does not work...
MKLSparseMatrix( const mint m_, const mint n_, const mint nnz_ )
{
// print("MKLSparseMatrix( const mint m_, const mint n_, const mint nnz_ )");
m = m_;
n = n_;
nnz = nnz_;
P.n = n;
safe_alloc( outer, m + 1 );
safe_alloc( inner, nnz );
safe_alloc( values, nnz );
outer[0] = 0;
outer[m_] = nnz;
descr.type = SPARSE_MATRIX_TYPE_GENERAL;
descr.diag = SPARSE_DIAG_NON_UNIT;
P.mtype = 11;
};
MKLSparseMatrix( const mint m_, const mint n_, mint * outer_, mint * inner_, mreal * values_ )
{
// print("MKLSparseMatrix( const mint m_, const mint n_, mint * outer_, mint * inner_, mreal * values_ )");
m = m_;
n = n_;
nnz = outer_[m];
P.n = n;
safe_alloc( outer, m + 1 );
safe_alloc( inner, nnz );
safe_alloc( values, nnz );
#pragma omp simd aligned( outer : ALIGN )
for( mint i = 0; i < m+1; ++i)
{
outer[i] = outer_[i];
}
#pragma omp simd aligned( inner, values : ALIGN )
for( mint i = 0; i < nnz; ++i)
{
inner[i] = inner_[i];
values[i] = values_[i];
}
descr.type = SPARSE_MATRIX_TYPE_GENERAL;
descr.diag = SPARSE_DIAG_NON_UNIT;
P.mtype = 11;
// vprint("m",m);
// vprint("n",n);
// vprint("nnz",nnz);
};
MKLSparseMatrix( const mint m_, const mint n_, mint * outer_B, mint * outer_E, mint * inner_, mreal * values_ )
{
// print("MKLSparseMatrix( const mint m_, const mint n_, mint * outer_B, mint * outer_E, mint * inner_, mreal * values_ )");
m = m_;
n = n_;
nnz = outer_B[m];
P.n = n;
if(outer_B[0])
{
eprint("in MKLSparseMatrix: outer_B[0] != 0.");
}
safe_alloc( outer, m + 1 );
safe_alloc( inner, nnz );
safe_alloc( values, nnz );
outer[0] = 0;
#pragma omp simd aligned( outer : ALIGN )
for( mint i = 0; i < m; ++i)
{
outer[i+1] = outer_E[i];
}
#pragma omp simd aligned( inner, values : ALIGN )
for( mint i = 0; i < nnz; ++i)
{
inner[i] = inner_[i];
values[i] = values_[i];
}
descr.type = SPARSE_MATRIX_TYPE_GENERAL;
descr.diag = SPARSE_DIAG_NON_UNIT;
P.mtype = 11;
};
// Copy constructor
MKLSparseMatrix( MKLSparseMatrix const & B )
{
// print("MKLSparseMatrix copy constructor");
m = B.m;
n = B.n;
nnz = B.nnz;
P = B.P;
if(B.outer[0])
{
eprint("in MKLSparseMatrix &operator=(MKLSparseMatrix const &B): B.outer[0] != 0.");
}
safe_alloc( outer, m + 1 );
safe_alloc( inner, nnz );
safe_alloc( values, nnz );
#pragma omp simd aligned( outer : ALIGN )
for( mint i = 0; i <= m; ++i)
{
outer[i] = B.outer[i];
}
#pragma omp simd aligned( inner, values : ALIGN )
for( mint i = 0; i < nnz; ++i)
{
inner[i] = B.inner[i];
values[i] = B.values[i];
}
descr.type = B.descr.type;
descr.diag = B.descr.diag;
}
// Move constructor
MKLSparseMatrix( MKLSparseMatrix && B )
{
// print("MKLSparseMatrix move constructor");
m = B.m;
n = B.n;
nnz = B.nnz;
P = std::move(B.P);
outer = std::move(B.outer);
inner = std::move(B.inner);
values = std::move(B.values);
descr = std::move(B.descr);
}
// copy-and-swap idiom
MKLSparseMatrix &operator=(MKLSparseMatrix B)
{
// print("MKLSparseMatrix copy-and-swap");
B.swap(*this);
return *this;
}
MKLSparseMatrix(){
descr.type = SPARSE_MATRIX_TYPE_GENERAL;
descr.diag = SPARSE_DIAG_NON_UNIT;
};
~MKLSparseMatrix(){
// PrintStats();
if( P.symfactorized || P.numfactorized )
{
mint phase = -1;
mreal ddum = 0.; /* double dummy pointer */
mint mnum = 1; /* Which factorization to use */
mint error = 0; /* Error flag */
mint nrhs = 1; /* Number of right hand sides */
mint msglvl = 0; /* Do not print statistical information to file */
mint maxfct = 1; /* Maximum number of numerical factorizations */
pardiso (P.pt.data(), &maxfct, &mnum, &P.mtype, &phase, &n, values, outer, inner, P.perm, &nrhs, P.iparm, &msglvl, &ddum, &ddum, &error);
}
safe_free( outer );
safe_free( inner );
safe_free( values );
};
void PrintStats()
{
print("##################################");
valprint("m", m);
valprint("n", n);
valprint("nnz", nnz);
valprint("P.n", P.n);
// std::cout << "descr = " << descr << std::endl;
if( outer )
{
valprint("outer[0]", outer[0]);
valprint("outer[m]", outer[m]);
}
if( inner )
{
valprint("inner[0]", inner[0]);
valprint("inner[nnz]", inner[nnz-1]);
}
if( values )
{
valprint("values[0]", values[0]);
valprint("values[nnz]", values[nnz-1]);
}
print("##################################");
}
void Check()
{
print(" ### MKLSparseMatrix::Check ### ");
valprint("m", m);
valprint("n", n);
valprint("nnz", nnz);
bool failed = false;
if( outer )
{
if( outer[0] )
{
eprint("outer[0] != 0");
valprint("outer[0]", outer[0]);
failed = true;
}
if( outer[m] != nnz )
{
eprint("outer[m] != nnz");
failed = true;
}
}
else
{
wprint("outer not initilized.");
}
if( inner )
{
valprint("inner[0]", inner[0]);
valprint("inner[nnz]", inner[nnz-1]);
}
else
{
wprint("inner not initilized.");
}
if( values )
{
valprint("values[0]", values[0]);
valprint("values[nnz]", values[nnz-1]);
}
else
{
wprint("values not initilized.");
}
if( outer && inner )
{
for( mint i = 0; i < m; ++ i)
{
if( failed )
{
break;
}
for( mint k = outer[i]; k< outer[i+1]; ++k )
{
mint j = inner[k];
if( j<0 || j >= n)
{
eprint("inner[" + std::to_string(k) + "] is out of bounds.");
valprint("i", i);
valprint("j = inner[k]", j);
failed = true;
break;
}
}
}
}
print(" ### MKLSparseMatrix::Check finished ### ");
}
// TODO: Better error handling
void Multiply( A_Vector<mreal> & input, A_Vector<mreal> & output, mint cols, bool addToResult = false )
{
Multiply( &input[0], &output[0], cols, addToResult );
}
void Multiply( mreal * input, mreal * output, mint cols, bool addToResult = false )
{
if( outer[m]>0 )
{
sparse_status_t stat;
sparse_matrix_t A = nullptr;
stat = mkl_sparse_d_create_csr ( &A, SPARSE_INDEX_BASE_ZERO, m, n, outer, outer + 1, inner, values );
if (stat)
{
eprint(" in MKLSparseMatrix::Multiply: mkl_sparse_d_create_csr returned " + std::to_string(stat) );
}
mreal factor = addToResult ? 1. : 0.;
if( cols > 1 )
{
// tic("MKL sparse matrix-matrix multiplication: cols = " + std::to_string(cols) );
stat = mkl_sparse_d_mm ( SPARSE_OPERATION_NON_TRANSPOSE, 1., A, descr, SPARSE_LAYOUT_ROW_MAJOR, input, cols, cols, factor, output, cols );
if (stat)
{
eprint("in MKLSparseMatrix::Multiply: mkl_sparse_d_mm returned " + std::to_string(stat) );
}
// toc("MKL sparse matrix-matrix multiplication: cols = " + std::to_string(cols) );
}
else
{
if( cols == 1)
{
// tic("MKL sparse matrix-vector multiplication" );
sparse_status_t stat = mkl_sparse_d_mv( SPARSE_OPERATION_NON_TRANSPOSE, 1., A, descr, input, factor, output );
if (stat)
{
eprint("in MKLSparseMatrix::Multiply: mkl_sparse_d_mv returned " + std::to_string(stat) );
}
// toc("MKL sparse matrix-vector multiplication" );
}
}
stat = mkl_sparse_destroy(A);
if (stat)
{
eprint("mkl_sparse_destroy returned stat = " + std::to_string(stat) );
}
}
else
{
wprint("MKLSparseMatrix::Multiply: No nonzeroes found. Doing nothing.");
}
}
void Multiply( MKLSparseMatrix & B, MKLSparseMatrix & C)
{
// print("void Multiply( MKLSparseMatrix & B, MKLSparseMatrix & C)");
sparse_status_t stat;
sparse_matrix_t csrA = nullptr;
sparse_matrix_t csrB = nullptr;
sparse_matrix_t csrC = nullptr;
stat = mkl_sparse_d_create_csr(&csrA, SPARSE_INDEX_BASE_ZERO, m, n, outer, outer + 1, inner, values );
if (stat)
{
eprint("in MKLSparseMatrix::Multiply: mkl_sparse_d_create_csr returned " + std::to_string(stat) );
}
stat = mkl_sparse_d_create_csr(&csrB, SPARSE_INDEX_BASE_ZERO, B.m, B.n, B.outer, B.outer +1 , B.inner, B.values );
if (stat)
{
eprint("in MKLSparseMatrix::Multiply: mkl_sparse_d_create_csr returned " + std::to_string(stat) );
}
stat = mkl_sparse_spmm(SPARSE_OPERATION_NON_TRANSPOSE, csrA, csrB, &csrC);
if (stat)
{
eprint("in MKLSparseMatrix::Multiply: mkl_sparse_spmm returned " + std::to_string(stat) );
}
mint rows_C;
mint cols_C;
mint * inner_C = nullptr;
mint * outerB_C = nullptr;
mint * outerE_C = nullptr;
mreal * values_C = nullptr;
sparse_index_base_t indexing = SPARSE_INDEX_BASE_ZERO;
stat = mkl_sparse_d_export_csr( csrC, &indexing, &rows_C, &cols_C, &outerB_C, &outerE_C, &inner_C, &values_C );
if (stat)
{
eprint("in MKLSparseMatrix::Multiply: mkl_sparse_d_export_csr returned " + std::to_string(stat) );
}
C = MKLSparseMatrix( rows_C, cols_C, outerB_C, outerE_C, inner_C, values_C ); // Copy!
mkl_sparse_destroy(csrA);
mkl_sparse_destroy(csrB);
mkl_sparse_destroy(csrC);
}
void Transpose( MKLSparseMatrix & AT)
{
MKLVersion Version;
mkl_get_version(&Version);
mint mkl_version = Version.MajorVersion;
// MKLVersion Version;
// mkl_get_version(&Version);
// printf("Major version: %d\n",Version.MajorVersion);
// printf("Minor version: %d\n",Version.MinorVersion);
// printf("Update version: %d\n",Version.UpdateVersion);
// printf("Product status: %s\n",Version.ProductStatus);
// printf("Build: %s\n",Version.Build);
// printf("Platform: %s\n",Version.Platform);
// printf("Processor optimization: %s\n",Version.Processor);
// printf("================================================================\n");
// printf("\n");
sparse_status_t stat;
sparse_matrix_t csrA = nullptr;
sparse_matrix_t csrAT = nullptr;
stat = mkl_sparse_d_create_csr(&csrA, SPARSE_INDEX_BASE_ZERO, m, n, outer, outer + 1, inner, values );
if (stat)
{
eprint("in MKLSparseMatrix::Transpose: mkl_sparse_d_create_csr returned " + std::to_string(stat) );
}
stat = mkl_sparse_convert_csr (csrA, SPARSE_OPERATION_TRANSPOSE, &csrAT);
if (stat)
{
eprint("in MKLSparseMatrix::Transpose: mkl_sparse_convert_csr returned " + std::to_string(stat) );
}
mint rows_AT;
mint cols_AT;
mint * inner_AT = nullptr;
mint * outerB_AT = nullptr;
mint * outerE_AT = nullptr;
mreal * values_AT = nullptr;
sparse_index_base_t indexing = SPARSE_INDEX_BASE_ZERO;
if( mkl_version >=2020)
{
stat = mkl_sparse_d_export_csr( csrAT, &indexing, &rows_AT, &cols_AT, &outerB_AT, &outerE_AT, &inner_AT, &values_AT );
}
else
{
// MKL 2019.0.1 requires this one for a weird reason
stat = mkl_sparse_d_export_csr( csrAT, &indexing, &cols_AT, &rows_AT, &outerB_AT, &outerE_AT, &inner_AT, &values_AT ); // It's not logical to swap rows_AT and cols_AT...
}
if (stat)
{
eprint("in MKLSparseMatrix::Transpose: mkl_sparse_d_export_csr returned " + std::to_string(stat) );
}
AT = MKLSparseMatrix( rows_AT, cols_AT, outerB_AT, outerE_AT, inner_AT, values_AT ); // Copy!
mkl_sparse_destroy(csrA);
mkl_sparse_destroy(csrAT);
}
mint FactorizeSymbolically()
{
if( m != n)
{
eprint("Matrix is not square, so it cannot be factorized symbolically.");
return 1;
}
else
{
P.pt = A_Vector<void*>(64);
safe_alloc( P.iparm, 64 );
safe_alloc( P.perm , m);
for ( mint i = 0; i < m; ++i )
{
P.perm[i] = i;
}
P.iparm[0] = 1; /* No solver default */
P.iparm[1] = 3; /* parallel version of nested disection */
P.iparm[3] = 0; /* No iterative-direct algorithm */
P.iparm[4] = 2; /* Write fill-in reducing permutation to perm */
P.iparm[5] = 0; /* Write solution into x */
if( P.mtype == 11 )
{
P.iparm[9] = 13; /* Perturb the pivot elements with 1E-iparm[9] */
}
else
{
P.iparm[9] = 8; /* Perturb the pivot elements with 1E-iparm[9] */
}
if( (P.mtype==2) || (P.mtype==-2) )
{
P.iparm[10] = 0; /* Disable scaling. Because it is slow.*/
P.iparm[12] = 0; /* Disable matching. Because it is slow.*/
}
else
{
P.iparm[10] = 1; /* Enable scaling. Default for nonsymmetric matrices. Good for indefinite symmetric matrices */
P.iparm[12] = 1; /* Enable matching. Default for nonsymmetric matrices. Good for indefinite symmetric matrices */
}
P.iparm[17] = -1; /* Report number of nonzeros in the factor LU */
P.iparm[18] = 0; /* Do not compute Mflops for LU factorization (because it is not for free) */
P.iparm[20] = 1; /* Bunch-Kaufman pivoting */
P.iparm[34] = 1; /* 0-based indexing */
mint phase = 11;
mreal ddum = 0.; /* double dummy pointer */
mint mnum = 1; /* Which factorization to use */
mint error = 0; /* Error flag */
mint nrhs = 1; /* Number of right hand sides */
mint msglvl = 0; /* Do not print statistical information to file */
mint maxfct = 1; /* Maximum number of numerical factorizations */
pardiso( P.pt.data(), &maxfct, &mnum, &P.mtype, &phase, &n, values, outer, inner, P.perm, &nrhs, P.iparm, &msglvl, &ddum, &ddum, &error );
if(error!=0)
{
P.symfactorized = false;
eprint("Pardiso reported an error in symbolic factorization: error = " + std::to_string(error) );
}
else
{
P.symfactorized = true;
}
return error;
}
} // FactorizeSymbolically
mint FactorizeNumerically()
{
if(!P.symfactorized)
{
FactorizeSymbolically();
}
mint phase = 22;
mreal ddum = 0.; /* double dummy pointer */
mint mnum = 1; /* Which factorization to use */
mint error = 0; /* Error flag */
mint nrhs = 1; /* Number of right hand sides */
mint msglvl = 0; /* Do not print statistical information to file */
mint maxfct = 1; /* Maximum number of numerical factorizations */
pardiso( P.pt.data(), &maxfct, &mnum, &P.mtype, &phase, &n, values, outer, inner, P.perm, &nrhs, P.iparm, &msglvl, &ddum, &ddum, &error );
if(error!=0)
{
P.numfactorized = false;
eprint("Pardiso reported an error in numeric factorization: error = " + std::to_string(error) );
}
else
{
P.numfactorized = true;
}
return error;
} // FactorizeNumerically
mint LinearSolve(mreal * b, mreal * x, bool transposed = false)
{
// solves A * x = b
if(!P.numfactorized)
{
FactorizeNumerically();
}
mint phase = 33;
P.iparm[11] = transposed ? 1 : 0;
mint mnum = 1; /* Which factorization to use */
mint error = 0; /* Error flag */
mint nrhs = 1; /* Number of right hand sides */
mint msglvl = 0; /* Do not print statistical information to file */
mint maxfct = 1; /* Maximum number of numerical factorizations */
pardiso( P.pt.data(), &maxfct, &mnum, &P.mtype, &phase, &n, values, outer, inner, P.perm, &nrhs, P.iparm, &msglvl, b, x, &error );
if(error!=0)
{
eprint("Pardiso reported an error in solving phase: error = " + std::to_string(error) );
}
P.iparm[11] = 0;
return error;
} // LinearSolve
// TODO: Currently untested whether multiple right hand sides are handled correctly here.
mint LinearSolveMatrix(mreal * B, mreal * X, mint cols, bool transposed = false)
{
// solves A * X = B
if(!P.numfactorized)
{
FactorizeNumerically();
}
mint phase = 33;
P.iparm[11] = transposed ? 1 : 0;
mint mnum = 1; /* Which factorization to use */
mint error = 0; /* Error flag */
mint nrhs = cols; /* Number of right hand sides */
mint msglvl = 0; /* Do not print statistical information to file */
mint maxfct = 1; /* Maximum number of numerical factorizations */
pardiso(P.pt.data(), &maxfct, &mnum, &P.mtype, &phase, &n, values, outer, inner, P.perm, &nrhs, P.iparm, &msglvl, B, X, &error );
if(error!=0)
{
eprint("Pardiso reported an error in solving phase: error = " + std::to_string( error) );
}
P.iparm[11] = 0;
return error;
} // LinearSolveMatrix
private:
void swap(MKLSparseMatrix &B) throw()
{
std::swap(this->m, B.m);
std::swap(this->n, B.n);
std::swap(this->nnz, B.nnz);
std::swap(this->outer, B.outer);
std::swap(this->inner, B.inner);
std::swap(this->values, B.values);
std::swap(this->P, B.P);
std::swap(this->descr, B.descr);
}
}; // MKLSparseMatrix
#pragma omp declare simd
inline mreal mypow ( mreal base, mreal exponent )
{
// Warning: Use only for positive base! This is basically pow with certain checks and cases deactivated
return std::exp2( exponent * std::log2(base) );
} // mypow
// #pragma omp declare simd
// inline mreal intpow(mreal base, mint exponent)
// {
// mreal r = 1.;
// mreal x = base;
// mint k = abs(exponent);
//
// while( k > 0)
// {
// if( k % 2 )
// {
// r *= x;
// }
// x *= x;
// k /= 2;
// }
// return exponent >= 0 ? r : 1./r;
// } // intpow
//#pragma omp declare simd
//inline mreal intpow(const mreal base, const double exponent)
//{
// mreal r = 1.;
// mint last = std::round(std::floor(abs(exponent)));
// for( mint k = 0; k < last; ++k )
// {
// r *= base;
// }
// return exponent>=0. ? r : 1./r;
//} // intpow
#pragma omp declare simd
inline mreal mypow(mreal base, mint exponent)
{
mreal b2, b3, b4, b6;
if( exponent >= 0)
{
switch (exponent) {
case 0: return 1.;
case 1: return base;
case 2: return base * base;
case 3: return base * base * base;
case 4:
b2 = base * base;
return b2 * b2;
case 5:
b2 = base * base;
return b2 * b2 * base;
case 6:
b2 = base * base;
return b2 * b2 * b2;
case 7:
b2 = base * base;
b4 = b2 * b2;
return b4 * b2 * base;
case 8:
b2 = base * base;
b4 = b2 * b2;
return b4 * b4;
case 9:
b2 = base * base;
b4 = b2 * b2;
return b4 * b4 * base;
case 10:
b2 = base * base;
b4 = b2 * b2;
return b4 * b4 * b2;
case 11:
b2 = base * base;
b4 = b2 * b2;
return b4 * b4 * b2 * base;
case 12:
b2 = base * base;
b4 = b2 * b2;
return b4 * b4 * b4;
default:
return mypow(base, exponent);
}
}
else
{
return 1./mypow(base, -exponent);
}
} // mypow
#pragma omp declare simd
inline mreal mymax(const mreal & a, const mreal & b)
{
return fmax(a,b);
}
#pragma omp declare simd
inline mreal mymin(const mreal & a, const mreal & b)
{
return fmin(a,b);
}
// This function reads in a list job_acc_costs of accumuated costs, then allocates job_ptr as a vector of size thread_count + 1, and writes the work distribution to it.
// Aasigns threads to consecutive chunks jobs, ..., job_ptr[k+1]-1 of jobs.
// Uses a binary search to find the chunk boundaries.
// The cost of the i-th job is job_acc_costs[i+1] - job_acc_costs[i].
// The cost of the k-th thread goes from job no job_ptr[k] to job no job_ptr[k+1] (as always in C/C++, job_ptr[k+1] points _after_ the last job.
void BalanceWorkLoad( mint job_count, mint * job_acc_costs, mint thread_count, mint * & job_ptr );
enum class TreePercolationAlgorithm
{
Tasks,
Sequential,
Chunks
};
enum class NearFieldMultiplicationAlgorithm
{
MKL_CSR,
Hybrid,
Eigen,
VBSR
};
} // namespace rsurfaces
|
tinyexr.h | /*
Copyright (c) 2014 - 2016, Syoyo Fujita
All rights reserved.
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 following disclaimer.
* 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.
* Neither the name of the <organization> 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 <COPYRIGHT HOLDER> 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.
*/
// TinyEXR contains some OpenEXR code, which is licensed under ------------
///////////////////////////////////////////////////////////////////////////
//
// Copyright (c) 2002, Industrial Light & Magic, a division of Lucas
// Digital Ltd. LLC
//
// All rights reserved.
//
// 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 following disclaimer.
// * 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.
// * Neither the name of Industrial Light & Magic 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 THE COPYRIGHT
// OWNER 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.
//
///////////////////////////////////////////////////////////////////////////
// End of OpenEXR license -------------------------------------------------
#ifndef TINYEXR_H_
#define TINYEXR_H_
//
//
// Do this:
// #define TINYEXR_IMPLEMENTATION
// before you include this file in *one* C or C++ file to create the
// implementation.
//
// // i.e. it should look like this:
// #include ...
// #include ...
// #include ...
// #define TINYEXR_IMPLEMENTATION
// #include "tinyexr.h"
//
//
#include <stddef.h> // for size_t
#include <stdint.h> // guess stdint.h is available(C99)
#ifdef __cplusplus
extern "C" {
#endif
// Use embedded miniz or not to decode ZIP format pixel. Linking with zlib
// required if this flas is 0.
#ifndef TINYEXR_USE_MINIZ
#define TINYEXR_USE_MINIZ (1)
#endif
// Disable PIZ comporession when applying cpplint.
#ifndef TINYEXR_USE_PIZ
#define TINYEXR_USE_PIZ (1)
#endif
#ifndef TINYEXR_USE_ZFP
#define TINYEXR_USE_ZFP (0) // TinyEXR extension.
// http://computation.llnl.gov/projects/floating-point-compression
#endif
#define TINYEXR_SUCCESS (0)
#define TINYEXR_ERROR_INVALID_MAGIC_NUMBER (-1)
#define TINYEXR_ERROR_INVALID_EXR_VERSION (-2)
#define TINYEXR_ERROR_INVALID_ARGUMENT (-3)
#define TINYEXR_ERROR_INVALID_DATA (-4)
#define TINYEXR_ERROR_INVALID_FILE (-5)
#define TINYEXR_ERROR_INVALID_PARAMETER (-5)
#define TINYEXR_ERROR_CANT_OPEN_FILE (-6)
#define TINYEXR_ERROR_UNSUPPORTED_FORMAT (-7)
// @note { OpenEXR file format: http://www.openexr.com/openexrfilelayout.pdf }
// pixel type: possible values are: UINT = 0 HALF = 1 FLOAT = 2
#define TINYEXR_PIXELTYPE_UINT (0)
#define TINYEXR_PIXELTYPE_HALF (1)
#define TINYEXR_PIXELTYPE_FLOAT (2)
#define TINYEXR_MAX_ATTRIBUTES (128)
#define TINYEXR_COMPRESSIONTYPE_NONE (0)
#define TINYEXR_COMPRESSIONTYPE_RLE (1)
#define TINYEXR_COMPRESSIONTYPE_ZIPS (2)
#define TINYEXR_COMPRESSIONTYPE_ZIP (3)
#define TINYEXR_COMPRESSIONTYPE_PIZ (4)
#define TINYEXR_COMPRESSIONTYPE_ZFP (128) // TinyEXR extension
#define TINYEXR_ZFP_COMPRESSIONTYPE_RATE (0)
#define TINYEXR_ZFP_COMPRESSIONTYPE_PRECISION (1)
#define TINYEXR_ZFP_COMPRESSIONTYPE_ACCURACY (2)
#define TINYEXR_TILE_ONE_LEVEL (0)
#define TINYEXR_TILE_MIPMAP_LEVELS (1)
#define TINYEXR_TILE_RIPMAP_LEVELS (2)
#define TINYEXR_TILE_ROUND_DOWN (0)
#define TINYEXR_TILE_ROUND_UP (1)
typedef struct _EXRVersion {
int version; // this must be 2
int tiled; // tile format image
int long_name; // long name attribute
int non_image; // deep image(EXR 2.0)
int multipart; // multi-part(EXR 2.0)
} EXRVersion;
typedef struct _EXRAttribute {
char name[256]; // name and type are up to 255 chars long.
char type[256];
unsigned char *value; // uint8_t*
int size;
int pad0;
} EXRAttribute;
typedef struct _EXRChannelInfo {
char name[256]; // less than 255 bytes long
int pixel_type;
unsigned char p_linear;
int x_sampling;
int y_sampling;
} EXRChannelInfo;
typedef struct _EXRTile {
int offset_x;
int offset_y;
int level_x;
int level_y;
int width; // actual width in a tile.
int height; // actual height int a tile.
unsigned char **images; // image[channels][pixels]
} EXRTile;
typedef struct _EXRHeader {
float pixel_aspect_ratio;
int line_order;
int data_window[4];
int display_window[4];
float screen_window_center[2];
float screen_window_width;
int chunk_count;
// Properties for tiled format(`tiledesc`).
int tiled;
int tile_size_x;
int tile_size_y;
int tile_level_mode;
int tile_rounding_mode;
int long_name;
int non_image;
int multipart;
unsigned int header_len;
// Custom attributes(exludes required attributes(e.g. `channels`,
// `compression`, etc)
EXRAttribute custom_attributes[TINYEXR_MAX_ATTRIBUTES];
int num_custom_attributes;
EXRChannelInfo *channels; // [num_channels]
int num_channels;
int *pixel_types; // Loaded pixel type(TINYEXR_PIXELTYPE_*) of `images` for
// each channel. This is overwritten with `requested_pixel_types` when
// loading.
int *requested_pixel_types; // Filled initially by
// ParseEXRHeaderFrom(Meomory|File), then users
// can edit it(only valid for HALF pixel type
// channel)
int compression_type; // compression type(TINYEXR_COMPRESSIONTYPE_*)
} EXRHeader;
typedef struct _EXRMultiPartHeader {
int num_headers;
EXRHeader *headers;
} EXRMultiPartHeader;
typedef struct _EXRImage {
EXRTile *tiles; // Tiled pixel data. The application must reconstruct image
// from tiles manually. NULL if scanline format.
unsigned char **images; // image[channels][pixels]. NULL if tiled format.
int width;
int height;
int num_channels;
// Properties for tile format.
int num_tiles;
} EXRImage;
typedef struct _EXRMultiPartImage {
int num_images;
EXRImage *images;
} EXRMultiPartImage;
typedef struct _DeepImage {
int num_channels;
const char **channel_names;
float ***image; // image[channels][scanlines][samples]
int **offset_table; // offset_table[scanline][offsets]
int width;
int height;
} DeepImage;
// @deprecated { to be removed. }
// Loads single-frame OpenEXR image. Assume EXR image contains RGB(A) channels.
// Application must free image data as returned by `out_rgba`
// Result image format is: float x RGBA x width x hight
// Returns negative value and may set error string in `err` when there's an
// error
extern int LoadEXR(float **out_rgba, int *width, int *height,
const char *filename, const char **err);
// Initialize EXRHeader struct
extern void InitEXRHeader(EXRHeader *exr_header);
// Initialize EXRImage struct
extern void InitEXRImage(EXRImage *exr_image);
// Free's internal data of EXRHeader struct
extern int FreeEXRHeader(EXRHeader *exr_header);
// Free's internal data of EXRImage struct
extern int FreeEXRImage(EXRImage *exr_image);
// Parse EXR version header of a file.
extern int ParseEXRVersionFromFile(EXRVersion *version, const char *filename);
// Parse EXR version header from memory-mapped EXR data.
extern int ParseEXRVersionFromMemory(EXRVersion *version,
const unsigned char *memory);
// Parse single-part OpenEXR header from a file and initialize `EXRHeader`.
extern int ParseEXRHeaderFromFile(EXRHeader *header, const EXRVersion *version,
const char *filename, const char **err);
// Parse single-part OpenEXR header from a memory and initialize `EXRHeader`.
extern int ParseEXRHeaderFromMemory(EXRHeader *header,
const EXRVersion *version,
const unsigned char *memory,
const char **err);
// Parse multi-part OpenEXR headers from a file and initialize `EXRHeader*`
// array.
extern int ParseEXRMultipartHeaderFromFile(EXRHeader ***headers,
int *num_headers,
const EXRVersion *version,
const char *filename,
const char **err);
// Parse multi-part OpenEXR headers from a memory and initialize `EXRHeader*`
// array
extern int ParseEXRMultipartHeaderFromMemory(EXRHeader ***headers,
int *num_headers,
const EXRVersion *version,
const unsigned char *memory,
const char **err);
// Loads single-part OpenEXR image from a file.
// Application must setup `ParseEXRHeaderFromFile` before calling this function.
// Application can free EXRImage using `FreeEXRImage`
// Returns negative value and may set error string in `err` when there's an
// error
extern int LoadEXRImageFromFile(EXRImage *image, const EXRHeader *header,
const char *filename, const char **err);
// Loads single-part OpenEXR image from a memory.
// Application must setup `EXRHeader` with
// `ParseEXRHeaderFromMemory` before calling this function.
// Application can free EXRImage using `FreeEXRImage`
// Returns negative value and may set error string in `err` when there's an
// error
extern int LoadEXRImageFromMemory(EXRImage *image, const EXRHeader *header,
const unsigned char *memory,
const char **err);
// Loads multi-part OpenEXR image from a file.
// Application must setup `ParseEXRMultipartHeaderFromFile` before calling this
// function.
// Application can free EXRImage using `FreeEXRImage`
// Returns negative value and may set error string in `err` when there's an
// error
extern int LoadEXRMultipartImageFromFile(EXRImage *images,
const EXRHeader **headers,
unsigned int num_parts,
const char *filename,
const char **err);
// Loads multi-part OpenEXR image from a memory.
// Application must setup `EXRHeader*` array with
// `ParseEXRMultipartHeaderFromMemory` before calling this function.
// Application can free EXRImage using `FreeEXRImage`
// Returns negative value and may set error string in `err` when there's an
// error
extern int LoadEXRMultipartImageFromMemory(EXRImage *images,
const EXRHeader **headers,
unsigned int num_parts,
const unsigned char *memory,
const char **err);
// Saves floating point RGBA image as OpenEXR.
// Image is compressed using EXRImage.compression value.
// Returns negative value and may set error string in `err` when there's an
// error
// extern int SaveEXR(const float *in_rgba, int width, int height,
// const char *filename, const char **err);
// Saves multi-channel, single-frame OpenEXR image to a file.
// Returns negative value and may set error string in `err` when there's an
// error
extern int SaveEXRImageToFile(const EXRImage *image,
const EXRHeader *exr_header, const char *filename,
const char **err);
// Saves multi-channel, single-frame OpenEXR image to a memory.
// Image is compressed using EXRImage.compression value.
// Return the number of bytes if succes.
// Returns negative value and may set error string in `err` when there's an
// error
extern size_t SaveEXRImageToMemory(const EXRImage *image,
const EXRHeader *exr_header,
unsigned char **memory, const char **err);
// Loads single-frame OpenEXR deep image.
// Application must free memory of variables in DeepImage(image, offset_table)
// Returns negative value and may set error string in `err` when there's an
// error
extern int LoadDeepEXR(DeepImage *out_image, const char *filename,
const char **err);
// NOT YET IMPLEMENTED:
// Saves single-frame OpenEXR deep image.
// Returns negative value and may set error string in `err` when there's an
// error
// extern int SaveDeepEXR(const DeepImage *in_image, const char *filename,
// const char **err);
// NOT YET IMPLEMENTED:
// Loads multi-part OpenEXR deep image.
// Application must free memory of variables in DeepImage(image, offset_table)
// extern int LoadMultiPartDeepEXR(DeepImage **out_image, int num_parts, const
// char *filename,
// const char **err);
// For emscripten.
// Parse single-frame OpenEXR header from memory.
// Returns negative value and may set error string in `err` when there's an
// error
// The application must call `free()` to release `err` string(if there was an
// error).
extern int ParseEXRHeaderFromMemory(EXRHeader *exr_header,
const EXRVersion *exr_version,
const unsigned char *memory,
const char **err);
// For emscripten.
// Loads single-frame OpenEXR image from memory. Assume EXR image contains
// RGB(A) channels.
// `out_rgba` must have enough memory(at least sizeof(float) x 4(RGBA) x width x
// hight)
// Returns negative value and may set error string in `err` when there's an
// error
extern int LoadEXRFromMemory(float *out_rgba, const unsigned char *memory,
const char **err);
#ifdef __cplusplus
}
#endif
#ifdef TINYEXR_IMPLEMENTATION
#include <algorithm>
#include <cassert>
#include <cstdio>
#include <cstdlib>
#include <cstring>
#include <sstream>
#include <string>
#include <vector>
#include "tinyexr.h"
#ifdef _OPENMP
#include <omp.h>
#endif
#if TINYEXR_USE_MINIZ
#else
#include "zlib.h"
#endif
#if TINYEXR_USE_ZFP
#include "zfp.h"
#endif
namespace tinyexr {
#if TINYEXR_USE_MINIZ
namespace miniz {
/* miniz.c v1.15 - public domain deflate/inflate, zlib-subset, ZIP
reading/writing/appending, PNG writing
See "unlicense" statement at the end of this file.
Rich Geldreich <richgel99@gmail.com>, last updated Oct. 13, 2013
Implements RFC 1950: http://www.ietf.org/rfc/rfc1950.txt and RFC 1951:
http://www.ietf.org/rfc/rfc1951.txt
Most API's defined in miniz.c are optional. For example, to disable the
archive related functions just define
MINIZ_NO_ARCHIVE_APIS, or to get rid of all stdio usage define MINIZ_NO_STDIO
(see the list below for more macros).
* Change History
10/13/13 v1.15 r4 - Interim bugfix release while I work on the next major
release with Zip64 support (almost there!):
- Critical fix for the MZ_ZIP_FLAG_DO_NOT_SORT_CENTRAL_DIRECTORY bug
(thanks kahmyong.moon@hp.com) which could cause locate files to not find
files. This bug
would only have occured in earlier versions if you explicitly used this
flag, OR if you used mz_zip_extract_archive_file_to_heap() or
mz_zip_add_mem_to_archive_file_in_place()
(which used this flag). If you can't switch to v1.15 but want to fix
this bug, just remove the uses of this flag from both helper funcs (and of
course don't use the flag).
- Bugfix in mz_zip_reader_extract_to_mem_no_alloc() from kymoon when
pUser_read_buf is not NULL and compressed size is > uncompressed size
- Fixing mz_zip_reader_extract_*() funcs so they don't try to extract
compressed data from directory entries, to account for weird zipfiles which
contain zero-size compressed data on dir entries.
Hopefully this fix won't cause any issues on weird zip archives,
because it assumes the low 16-bits of zip external attributes are DOS
attributes (which I believe they always are in practice).
- Fixing mz_zip_reader_is_file_a_directory() so it doesn't check the
internal attributes, just the filename and external attributes
- mz_zip_reader_init_file() - missing MZ_FCLOSE() call if the seek failed
- Added cmake support for Linux builds which builds all the examples,
tested with clang v3.3 and gcc v4.6.
- Clang fix for tdefl_write_image_to_png_file_in_memory() from toffaletti
- Merged MZ_FORCEINLINE fix from hdeanclark
- Fix <time.h> include before config #ifdef, thanks emil.brink
- Added tdefl_write_image_to_png_file_in_memory_ex(): supports Y flipping
(super useful for OpenGL apps), and explicit control over the compression
level (so you can
set it to 1 for real-time compression).
- Merged in some compiler fixes from paulharris's github repro.
- Retested this build under Windows (VS 2010, including static analysis),
tcc 0.9.26, gcc v4.6 and clang v3.3.
- Added example6.c, which dumps an image of the mandelbrot set to a PNG
file.
- Modified example2 to help test the
MZ_ZIP_FLAG_DO_NOT_SORT_CENTRAL_DIRECTORY flag more.
- In r3: Bugfix to mz_zip_writer_add_file() found during merge: Fix
possible src file fclose() leak if alignment bytes+local header file write
faiiled
- In r4: Minor bugfix to mz_zip_writer_add_from_zip_reader():
Was pushing the wrong central dir header offset, appears harmless in this
release, but it became a problem in the zip64 branch
5/20/12 v1.14 - MinGW32/64 GCC 4.6.1 compiler fixes: added MZ_FORCEINLINE,
#include <time.h> (thanks fermtect).
5/19/12 v1.13 - From jason@cornsyrup.org and kelwert@mtu.edu - Fix
mz_crc32() so it doesn't compute the wrong CRC-32's when mz_ulong is 64-bit.
- Temporarily/locally slammed in "typedef unsigned long mz_ulong" and
re-ran a randomized regression test on ~500k files.
- Eliminated a bunch of warnings when compiling with GCC 32-bit/64.
- Ran all examples, miniz.c, and tinfl.c through MSVC 2008's /analyze
(static analysis) option and fixed all warnings (except for the silly
"Use of the comma-operator in a tested expression.." analysis warning,
which I purposely use to work around a MSVC compiler warning).
- Created 32-bit and 64-bit Codeblocks projects/workspace. Built and
tested Linux executables. The codeblocks workspace is compatible with
Linux+Win32/x64.
- Added miniz_tester solution/project, which is a useful little app
derived from LZHAM's tester app that I use as part of the regression test.
- Ran miniz.c and tinfl.c through another series of regression testing on
~500,000 files and archives.
- Modified example5.c so it purposely disables a bunch of high-level
functionality (MINIZ_NO_STDIO, etc.). (Thanks to corysama for the
MINIZ_NO_STDIO bug report.)
- Fix ftell() usage in examples so they exit with an error on files which
are too large (a limitation of the examples, not miniz itself).
4/12/12 v1.12 - More comments, added low-level example5.c, fixed a couple
minor level_and_flags issues in the archive API's.
level_and_flags can now be set to MZ_DEFAULT_COMPRESSION. Thanks to Bruce
Dawson <bruced@valvesoftware.com> for the feedback/bug report.
5/28/11 v1.11 - Added statement from unlicense.org
5/27/11 v1.10 - Substantial compressor optimizations:
- Level 1 is now ~4x faster than before. The L1 compressor's throughput
now varies between 70-110MB/sec. on a
- Core i7 (actual throughput varies depending on the type of data, and x64
vs. x86).
- Improved baseline L2-L9 compression perf. Also, greatly improved
compression perf. issues on some file types.
- Refactored the compression code for better readability and
maintainability.
- Added level 10 compression level (L10 has slightly better ratio than
level 9, but could have a potentially large
drop in throughput on some files).
5/15/11 v1.09 - Initial stable release.
* Low-level Deflate/Inflate implementation notes:
Compression: Use the "tdefl" API's. The compressor supports raw, static,
and dynamic blocks, lazy or
greedy parsing, match length filtering, RLE-only, and Huffman-only streams.
It performs and compresses
approximately as well as zlib.
Decompression: Use the "tinfl" API's. The entire decompressor is
implemented as a single function
coroutine: see tinfl_decompress(). It supports decompression into a 32KB
(or larger power of 2) wrapping buffer, or into a memory
block large enough to hold the entire file.
The low-level tdefl/tinfl API's do not make any use of dynamic memory
allocation.
* zlib-style API notes:
miniz.c implements a fairly large subset of zlib. There's enough
functionality present for it to be a drop-in
zlib replacement in many apps:
The z_stream struct, optional memory allocation callbacks
deflateInit/deflateInit2/deflate/deflateReset/deflateEnd/deflateBound
inflateInit/inflateInit2/inflate/inflateEnd
compress, compress2, compressBound, uncompress
CRC-32, Adler-32 - Using modern, minimal code size, CPU cache friendly
routines.
Supports raw deflate streams or standard zlib streams with adler-32
checking.
Limitations:
The callback API's are not implemented yet. No support for gzip headers or
zlib static dictionaries.
I've tried to closely emulate zlib's various flavors of stream flushing
and return status codes, but
there are no guarantees that miniz.c pulls this off perfectly.
* PNG writing: See the tdefl_write_image_to_png_file_in_memory() function,
originally written by
Alex Evans. Supports 1-4 bytes/pixel images.
* ZIP archive API notes:
The ZIP archive API's where designed with simplicity and efficiency in
mind, with just enough abstraction to
get the job done with minimal fuss. There are simple API's to retrieve file
information, read files from
existing archives, create new archives, append new files to existing
archives, or clone archive data from
one archive to another. It supports archives located in memory or the heap,
on disk (using stdio.h),
or you can specify custom file read/write callbacks.
- Archive reading: Just call this function to read a single file from a
disk archive:
void *mz_zip_extract_archive_file_to_heap(const char *pZip_filename, const
char *pArchive_name,
size_t *pSize, mz_uint zip_flags);
For more complex cases, use the "mz_zip_reader" functions. Upon opening an
archive, the entire central
directory is located and read as-is into memory, and subsequent file access
only occurs when reading individual files.
- Archives file scanning: The simple way is to use this function to scan a
loaded archive for a specific file:
int mz_zip_reader_locate_file(mz_zip_archive *pZip, const char *pName,
const char *pComment, mz_uint flags);
The locate operation can optionally check file comments too, which (as one
example) can be used to identify
multiple versions of the same file in an archive. This function uses a
simple linear search through the central
directory, so it's not very fast.
Alternately, you can iterate through all the files in an archive (using
mz_zip_reader_get_num_files()) and
retrieve detailed info on each file by calling mz_zip_reader_file_stat().
- Archive creation: Use the "mz_zip_writer" functions. The ZIP writer
immediately writes compressed file data
to disk and builds an exact image of the central directory in memory. The
central directory image is written
all at once at the end of the archive file when the archive is finalized.
The archive writer can optionally align each file's local header and file
data to any power of 2 alignment,
which can be useful when the archive will be read from optical media. Also,
the writer supports placing
arbitrary data blobs at the very beginning of ZIP archives. Archives
written using either feature are still
readable by any ZIP tool.
- Archive appending: The simple way to add a single file to an archive is
to call this function:
mz_bool mz_zip_add_mem_to_archive_file_in_place(const char *pZip_filename,
const char *pArchive_name,
const void *pBuf, size_t buf_size, const void *pComment, mz_uint16
comment_size, mz_uint level_and_flags);
The archive will be created if it doesn't already exist, otherwise it'll be
appended to.
Note the appending is done in-place and is not an atomic operation, so if
something goes wrong
during the operation it's possible the archive could be left without a
central directory (although the local
file headers and file data will be fine, so the archive will be
recoverable).
For more complex archive modification scenarios:
1. The safest way is to use a mz_zip_reader to read the existing archive,
cloning only those bits you want to
preserve into a new archive using using the
mz_zip_writer_add_from_zip_reader() function (which compiles the
compressed file data as-is). When you're done, delete the old archive and
rename the newly written archive, and
you're done. This is safe but requires a bunch of temporary disk space or
heap memory.
2. Or, you can convert an mz_zip_reader in-place to an mz_zip_writer using
mz_zip_writer_init_from_reader(),
append new files as needed, then finalize the archive which will write an
updated central directory to the
original archive. (This is basically what
mz_zip_add_mem_to_archive_file_in_place() does.) There's a
possibility that the archive's central directory could be lost with this
method if anything goes wrong, though.
- ZIP archive support limitations:
No zip64 or spanning support. Extraction functions can only handle
unencrypted, stored or deflated files.
Requires streams capable of seeking.
* This is a header file library, like stb_image.c. To get only a header file,
either cut and paste the
below header, or create miniz.h, #define MINIZ_HEADER_FILE_ONLY, and then
include miniz.c from it.
* Important: For best perf. be sure to customize the below macros for your
target platform:
#define MINIZ_USE_UNALIGNED_LOADS_AND_STORES 1
#define MINIZ_LITTLE_ENDIAN 1
#define MINIZ_HAS_64BIT_REGISTERS 1
* On platforms using glibc, Be sure to "#define _LARGEFILE64_SOURCE 1" before
including miniz.c to ensure miniz
uses the 64-bit variants: fopen64(), stat64(), etc. Otherwise you won't be
able to process large files
(i.e. 32-bit stat() fails for me on files > 0x7FFFFFFF bytes).
*/
#ifndef MINIZ_HEADER_INCLUDED
#define MINIZ_HEADER_INCLUDED
#include <stdlib.h>
// Defines to completely disable specific portions of miniz.c:
// If all macros here are defined the only functionality remaining will be
// CRC-32, adler-32, tinfl, and tdefl.
// Define MINIZ_NO_STDIO to disable all usage and any functions which rely on
// stdio for file I/O.
//#define MINIZ_NO_STDIO
// If MINIZ_NO_TIME is specified then the ZIP archive functions will not be able
// to get the current time, or
// get/set file times, and the C run-time funcs that get/set times won't be
// called.
// The current downside is the times written to your archives will be from 1979.
//#define MINIZ_NO_TIME
// Define MINIZ_NO_ARCHIVE_APIS to disable all ZIP archive API's.
//#define MINIZ_NO_ARCHIVE_APIS
// Define MINIZ_NO_ARCHIVE_APIS to disable all writing related ZIP archive
// API's.
//#define MINIZ_NO_ARCHIVE_WRITING_APIS
// Define MINIZ_NO_ZLIB_APIS to remove all ZLIB-style compression/decompression
// API's.
//#define MINIZ_NO_ZLIB_APIS
// Define MINIZ_NO_ZLIB_COMPATIBLE_NAME to disable zlib names, to prevent
// conflicts against stock zlib.
//#define MINIZ_NO_ZLIB_COMPATIBLE_NAMES
// Define MINIZ_NO_MALLOC to disable all calls to malloc, free, and realloc.
// Note if MINIZ_NO_MALLOC is defined then the user must always provide custom
// user alloc/free/realloc
// callbacks to the zlib and archive API's, and a few stand-alone helper API's
// which don't provide custom user
// functions (such as tdefl_compress_mem_to_heap() and
// tinfl_decompress_mem_to_heap()) won't work.
//#define MINIZ_NO_MALLOC
#if defined(__TINYC__) && (defined(__linux) || defined(__linux__))
// TODO: Work around "error: include file 'sys\utime.h' when compiling with tcc
// on Linux
#define MINIZ_NO_TIME
#endif
#if !defined(MINIZ_NO_TIME) && !defined(MINIZ_NO_ARCHIVE_APIS)
#include <time.h>
#endif
#if defined(_M_IX86) || defined(_M_X64) || defined(__i386__) || \
defined(__i386) || defined(__i486__) || defined(__i486) || \
defined(i386) || defined(__ia64__) || defined(__x86_64__)
// MINIZ_X86_OR_X64_CPU is only used to help set the below macros.
#define MINIZ_X86_OR_X64_CPU 1
#endif
#if defined(__sparcv9)
// Big endian
#else
#if (__BYTE_ORDER__ == __ORDER_LITTLE_ENDIAN__) || MINIZ_X86_OR_X64_CPU
// Set MINIZ_LITTLE_ENDIAN to 1 if the processor is little endian.
#define MINIZ_LITTLE_ENDIAN 1
#endif
#endif
#if MINIZ_X86_OR_X64_CPU
// Set MINIZ_USE_UNALIGNED_LOADS_AND_STORES to 1 on CPU's that permit efficient
// integer loads and stores from unaligned addresses.
//#define MINIZ_USE_UNALIGNED_LOADS_AND_STORES 1
#define MINIZ_USE_UNALIGNED_LOADS_AND_STORES \
0 // disable to suppress compiler warnings
#endif
#if defined(_M_X64) || defined(_WIN64) || defined(__MINGW64__) || \
defined(_LP64) || defined(__LP64__) || defined(__ia64__) || \
defined(__x86_64__)
// Set MINIZ_HAS_64BIT_REGISTERS to 1 if operations on 64-bit integers are
// reasonably fast (and don't involve compiler generated calls to helper
// functions).
#define MINIZ_HAS_64BIT_REGISTERS 1
#endif
#ifdef __cplusplus
extern "C" {
#endif
// ------------------- zlib-style API Definitions.
// For more compatibility with zlib, miniz.c uses unsigned long for some
// parameters/struct members. Beware: mz_ulong can be either 32 or 64-bits!
typedef unsigned long mz_ulong;
// mz_free() internally uses the MZ_FREE() macro (which by default calls free()
// unless you've modified the MZ_MALLOC macro) to release a block allocated from
// the heap.
void mz_free(void *p);
#define MZ_ADLER32_INIT (1)
// mz_adler32() returns the initial adler-32 value to use when called with
// ptr==NULL.
mz_ulong mz_adler32(mz_ulong adler, const unsigned char *ptr, size_t buf_len);
#define MZ_CRC32_INIT (0)
// mz_crc32() returns the initial CRC-32 value to use when called with
// ptr==NULL.
mz_ulong mz_crc32(mz_ulong crc, const unsigned char *ptr, size_t buf_len);
// Compression strategies.
enum {
MZ_DEFAULT_STRATEGY = 0,
MZ_FILTERED = 1,
MZ_HUFFMAN_ONLY = 2,
MZ_RLE = 3,
MZ_FIXED = 4
};
// Method
#define MZ_DEFLATED 8
#ifndef MINIZ_NO_ZLIB_APIS
// Heap allocation callbacks.
// Note that mz_alloc_func parameter types purpsosely differ from zlib's:
// items/size is size_t, not unsigned long.
typedef void *(*mz_alloc_func)(void *opaque, size_t items, size_t size);
typedef void (*mz_free_func)(void *opaque, void *address);
typedef void *(*mz_realloc_func)(void *opaque, void *address, size_t items,
size_t size);
#define MZ_VERSION "9.1.15"
#define MZ_VERNUM 0x91F0
#define MZ_VER_MAJOR 9
#define MZ_VER_MINOR 1
#define MZ_VER_REVISION 15
#define MZ_VER_SUBREVISION 0
// Flush values. For typical usage you only need MZ_NO_FLUSH and MZ_FINISH. The
// other values are for advanced use (refer to the zlib docs).
enum {
MZ_NO_FLUSH = 0,
MZ_PARTIAL_FLUSH = 1,
MZ_SYNC_FLUSH = 2,
MZ_FULL_FLUSH = 3,
MZ_FINISH = 4,
MZ_BLOCK = 5
};
// Return status codes. MZ_PARAM_ERROR is non-standard.
enum {
MZ_OK = 0,
MZ_STREAM_END = 1,
MZ_NEED_DICT = 2,
MZ_ERRNO = -1,
MZ_STREAM_ERROR = -2,
MZ_DATA_ERROR = -3,
MZ_MEM_ERROR = -4,
MZ_BUF_ERROR = -5,
MZ_VERSION_ERROR = -6,
MZ_PARAM_ERROR = -10000
};
// Compression levels: 0-9 are the standard zlib-style levels, 10 is best
// possible compression (not zlib compatible, and may be very slow),
// MZ_DEFAULT_COMPRESSION=MZ_DEFAULT_LEVEL.
enum {
MZ_NO_COMPRESSION = 0,
MZ_BEST_SPEED = 1,
MZ_BEST_COMPRESSION = 9,
MZ_UBER_COMPRESSION = 10,
MZ_DEFAULT_LEVEL = 6,
MZ_DEFAULT_COMPRESSION = -1
};
// Window bits
#define MZ_DEFAULT_WINDOW_BITS 15
struct mz_internal_state;
// Compression/decompression stream struct.
typedef struct mz_stream_s {
const unsigned char *next_in; // pointer to next byte to read
unsigned int avail_in; // number of bytes available at next_in
mz_ulong total_in; // total number of bytes consumed so far
unsigned char *next_out; // pointer to next byte to write
unsigned int avail_out; // number of bytes that can be written to next_out
mz_ulong total_out; // total number of bytes produced so far
char *msg; // error msg (unused)
struct mz_internal_state *state; // internal state, allocated by zalloc/zfree
mz_alloc_func
zalloc; // optional heap allocation function (defaults to malloc)
mz_free_func zfree; // optional heap free function (defaults to free)
void *opaque; // heap alloc function user pointer
int data_type; // data_type (unused)
mz_ulong adler; // adler32 of the source or uncompressed data
mz_ulong reserved; // not used
} mz_stream;
typedef mz_stream *mz_streamp;
// Returns the version string of miniz.c.
const char *mz_version(void);
// mz_deflateInit() initializes a compressor with default options:
// Parameters:
// pStream must point to an initialized mz_stream struct.
// level must be between [MZ_NO_COMPRESSION, MZ_BEST_COMPRESSION].
// level 1 enables a specially optimized compression function that's been
// optimized purely for performance, not ratio.
// (This special func. is currently only enabled when
// MINIZ_USE_UNALIGNED_LOADS_AND_STORES and MINIZ_LITTLE_ENDIAN are defined.)
// Return values:
// MZ_OK on success.
// MZ_STREAM_ERROR if the stream is bogus.
// MZ_PARAM_ERROR if the input parameters are bogus.
// MZ_MEM_ERROR on out of memory.
int mz_deflateInit(mz_streamp pStream, int level);
// mz_deflateInit2() is like mz_deflate(), except with more control:
// Additional parameters:
// method must be MZ_DEFLATED
// window_bits must be MZ_DEFAULT_WINDOW_BITS (to wrap the deflate stream with
// zlib header/adler-32 footer) or -MZ_DEFAULT_WINDOW_BITS (raw deflate/no
// header or footer)
// mem_level must be between [1, 9] (it's checked but ignored by miniz.c)
int mz_deflateInit2(mz_streamp pStream, int level, int method, int window_bits,
int mem_level, int strategy);
// Quickly resets a compressor without having to reallocate anything. Same as
// calling mz_deflateEnd() followed by mz_deflateInit()/mz_deflateInit2().
int mz_deflateReset(mz_streamp pStream);
// mz_deflate() compresses the input to output, consuming as much of the input
// and producing as much output as possible.
// Parameters:
// pStream is the stream to read from and write to. You must initialize/update
// the next_in, avail_in, next_out, and avail_out members.
// flush may be MZ_NO_FLUSH, MZ_PARTIAL_FLUSH/MZ_SYNC_FLUSH, MZ_FULL_FLUSH, or
// MZ_FINISH.
// Return values:
// MZ_OK on success (when flushing, or if more input is needed but not
// available, and/or there's more output to be written but the output buffer
// is full).
// MZ_STREAM_END if all input has been consumed and all output bytes have been
// written. Don't call mz_deflate() on the stream anymore.
// MZ_STREAM_ERROR if the stream is bogus.
// MZ_PARAM_ERROR if one of the parameters is invalid.
// MZ_BUF_ERROR if no forward progress is possible because the input and/or
// output buffers are empty. (Fill up the input buffer or free up some output
// space and try again.)
int mz_deflate(mz_streamp pStream, int flush);
// mz_deflateEnd() deinitializes a compressor:
// Return values:
// MZ_OK on success.
// MZ_STREAM_ERROR if the stream is bogus.
int mz_deflateEnd(mz_streamp pStream);
// mz_deflateBound() returns a (very) conservative upper bound on the amount of
// data that could be generated by deflate(), assuming flush is set to only
// MZ_NO_FLUSH or MZ_FINISH.
mz_ulong mz_deflateBound(mz_streamp pStream, mz_ulong source_len);
// Single-call compression functions mz_compress() and mz_compress2():
// Returns MZ_OK on success, or one of the error codes from mz_deflate() on
// failure.
int mz_compress(unsigned char *pDest, mz_ulong *pDest_len,
const unsigned char *pSource, mz_ulong source_len);
int mz_compress2(unsigned char *pDest, mz_ulong *pDest_len,
const unsigned char *pSource, mz_ulong source_len, int level);
// mz_compressBound() returns a (very) conservative upper bound on the amount of
// data that could be generated by calling mz_compress().
mz_ulong mz_compressBound(mz_ulong source_len);
// Initializes a decompressor.
int mz_inflateInit(mz_streamp pStream);
// mz_inflateInit2() is like mz_inflateInit() with an additional option that
// controls the window size and whether or not the stream has been wrapped with
// a zlib header/footer:
// window_bits must be MZ_DEFAULT_WINDOW_BITS (to parse zlib header/footer) or
// -MZ_DEFAULT_WINDOW_BITS (raw deflate).
int mz_inflateInit2(mz_streamp pStream, int window_bits);
// Decompresses the input stream to the output, consuming only as much of the
// input as needed, and writing as much to the output as possible.
// Parameters:
// pStream is the stream to read from and write to. You must initialize/update
// the next_in, avail_in, next_out, and avail_out members.
// flush may be MZ_NO_FLUSH, MZ_SYNC_FLUSH, or MZ_FINISH.
// On the first call, if flush is MZ_FINISH it's assumed the input and output
// buffers are both sized large enough to decompress the entire stream in a
// single call (this is slightly faster).
// MZ_FINISH implies that there are no more source bytes available beside
// what's already in the input buffer, and that the output buffer is large
// enough to hold the rest of the decompressed data.
// Return values:
// MZ_OK on success. Either more input is needed but not available, and/or
// there's more output to be written but the output buffer is full.
// MZ_STREAM_END if all needed input has been consumed and all output bytes
// have been written. For zlib streams, the adler-32 of the decompressed data
// has also been verified.
// MZ_STREAM_ERROR if the stream is bogus.
// MZ_DATA_ERROR if the deflate stream is invalid.
// MZ_PARAM_ERROR if one of the parameters is invalid.
// MZ_BUF_ERROR if no forward progress is possible because the input buffer is
// empty but the inflater needs more input to continue, or if the output
// buffer is not large enough. Call mz_inflate() again
// with more input data, or with more room in the output buffer (except when
// using single call decompression, described above).
int mz_inflate(mz_streamp pStream, int flush);
// Deinitializes a decompressor.
int mz_inflateEnd(mz_streamp pStream);
// Single-call decompression.
// Returns MZ_OK on success, or one of the error codes from mz_inflate() on
// failure.
int mz_uncompress(unsigned char *pDest, mz_ulong *pDest_len,
const unsigned char *pSource, mz_ulong source_len);
// Returns a string description of the specified error code, or NULL if the
// error code is invalid.
const char *mz_error(int err);
// Redefine zlib-compatible names to miniz equivalents, so miniz.c can be used
// as a drop-in replacement for the subset of zlib that miniz.c supports.
// Define MINIZ_NO_ZLIB_COMPATIBLE_NAMES to disable zlib-compatibility if you
// use zlib in the same project.
#ifndef MINIZ_NO_ZLIB_COMPATIBLE_NAMES
typedef unsigned char Byte;
typedef unsigned int uInt;
typedef mz_ulong uLong;
typedef Byte Bytef;
typedef uInt uIntf;
typedef char charf;
typedef int intf;
typedef void *voidpf;
typedef uLong uLongf;
typedef void *voidp;
typedef void *const voidpc;
#define Z_NULL 0
#define Z_NO_FLUSH MZ_NO_FLUSH
#define Z_PARTIAL_FLUSH MZ_PARTIAL_FLUSH
#define Z_SYNC_FLUSH MZ_SYNC_FLUSH
#define Z_FULL_FLUSH MZ_FULL_FLUSH
#define Z_FINISH MZ_FINISH
#define Z_BLOCK MZ_BLOCK
#define Z_OK MZ_OK
#define Z_STREAM_END MZ_STREAM_END
#define Z_NEED_DICT MZ_NEED_DICT
#define Z_ERRNO MZ_ERRNO
#define Z_STREAM_ERROR MZ_STREAM_ERROR
#define Z_DATA_ERROR MZ_DATA_ERROR
#define Z_MEM_ERROR MZ_MEM_ERROR
#define Z_BUF_ERROR MZ_BUF_ERROR
#define Z_VERSION_ERROR MZ_VERSION_ERROR
#define Z_PARAM_ERROR MZ_PARAM_ERROR
#define Z_NO_COMPRESSION MZ_NO_COMPRESSION
#define Z_BEST_SPEED MZ_BEST_SPEED
#define Z_BEST_COMPRESSION MZ_BEST_COMPRESSION
#define Z_DEFAULT_COMPRESSION MZ_DEFAULT_COMPRESSION
#define Z_DEFAULT_STRATEGY MZ_DEFAULT_STRATEGY
#define Z_FILTERED MZ_FILTERED
#define Z_HUFFMAN_ONLY MZ_HUFFMAN_ONLY
#define Z_RLE MZ_RLE
#define Z_FIXED MZ_FIXED
#define Z_DEFLATED MZ_DEFLATED
#define Z_DEFAULT_WINDOW_BITS MZ_DEFAULT_WINDOW_BITS
#define alloc_func mz_alloc_func
#define free_func mz_free_func
#define internal_state mz_internal_state
#define z_stream mz_stream
#define deflateInit mz_deflateInit
#define deflateInit2 mz_deflateInit2
#define deflateReset mz_deflateReset
#define deflate mz_deflate
#define deflateEnd mz_deflateEnd
#define deflateBound mz_deflateBound
#define compress mz_compress
#define compress2 mz_compress2
#define compressBound mz_compressBound
#define inflateInit mz_inflateInit
#define inflateInit2 mz_inflateInit2
#define inflate mz_inflate
#define inflateEnd mz_inflateEnd
#define uncompress mz_uncompress
#define crc32 mz_crc32
#define adler32 mz_adler32
#define MAX_WBITS 15
#define MAX_MEM_LEVEL 9
#define zError mz_error
#define ZLIB_VERSION MZ_VERSION
#define ZLIB_VERNUM MZ_VERNUM
#define ZLIB_VER_MAJOR MZ_VER_MAJOR
#define ZLIB_VER_MINOR MZ_VER_MINOR
#define ZLIB_VER_REVISION MZ_VER_REVISION
#define ZLIB_VER_SUBREVISION MZ_VER_SUBREVISION
#define zlibVersion mz_version
#define zlib_version mz_version()
#endif // #ifndef MINIZ_NO_ZLIB_COMPATIBLE_NAMES
#endif // MINIZ_NO_ZLIB_APIS
// ------------------- Types and macros
typedef unsigned char mz_uint8;
typedef signed short mz_int16;
typedef unsigned short mz_uint16;
typedef unsigned int mz_uint32;
typedef unsigned int mz_uint;
typedef long long mz_int64;
typedef unsigned long long mz_uint64;
typedef int mz_bool;
#define MZ_FALSE (0)
#define MZ_TRUE (1)
// An attempt to work around MSVC's spammy "warning C4127: conditional
// expression is constant" message.
#ifdef _MSC_VER
#define MZ_MACRO_END while (0, 0)
#else
#define MZ_MACRO_END while (0)
#endif
// ------------------- ZIP archive reading/writing
#ifndef MINIZ_NO_ARCHIVE_APIS
enum {
MZ_ZIP_MAX_IO_BUF_SIZE = 64 * 1024,
MZ_ZIP_MAX_ARCHIVE_FILENAME_SIZE = 260,
MZ_ZIP_MAX_ARCHIVE_FILE_COMMENT_SIZE = 256
};
typedef struct {
mz_uint32 m_file_index;
mz_uint32 m_central_dir_ofs;
mz_uint16 m_version_made_by;
mz_uint16 m_version_needed;
mz_uint16 m_bit_flag;
mz_uint16 m_method;
#ifndef MINIZ_NO_TIME
time_t m_time;
#endif
mz_uint32 m_crc32;
mz_uint64 m_comp_size;
mz_uint64 m_uncomp_size;
mz_uint16 m_internal_attr;
mz_uint32 m_external_attr;
mz_uint64 m_local_header_ofs;
mz_uint32 m_comment_size;
char m_filename[MZ_ZIP_MAX_ARCHIVE_FILENAME_SIZE];
char m_comment[MZ_ZIP_MAX_ARCHIVE_FILE_COMMENT_SIZE];
} mz_zip_archive_file_stat;
typedef size_t (*mz_file_read_func)(void *pOpaque, mz_uint64 file_ofs,
void *pBuf, size_t n);
typedef size_t (*mz_file_write_func)(void *pOpaque, mz_uint64 file_ofs,
const void *pBuf, size_t n);
struct mz_zip_internal_state_tag;
typedef struct mz_zip_internal_state_tag mz_zip_internal_state;
typedef enum {
MZ_ZIP_MODE_INVALID = 0,
MZ_ZIP_MODE_READING = 1,
MZ_ZIP_MODE_WRITING = 2,
MZ_ZIP_MODE_WRITING_HAS_BEEN_FINALIZED = 3
} mz_zip_mode;
typedef struct mz_zip_archive_tag {
mz_uint64 m_archive_size;
mz_uint64 m_central_directory_file_ofs;
mz_uint m_total_files;
mz_zip_mode m_zip_mode;
mz_uint m_file_offset_alignment;
mz_alloc_func m_pAlloc;
mz_free_func m_pFree;
mz_realloc_func m_pRealloc;
void *m_pAlloc_opaque;
mz_file_read_func m_pRead;
mz_file_write_func m_pWrite;
void *m_pIO_opaque;
mz_zip_internal_state *m_pState;
} mz_zip_archive;
typedef enum {
MZ_ZIP_FLAG_CASE_SENSITIVE = 0x0100,
MZ_ZIP_FLAG_IGNORE_PATH = 0x0200,
MZ_ZIP_FLAG_COMPRESSED_DATA = 0x0400,
MZ_ZIP_FLAG_DO_NOT_SORT_CENTRAL_DIRECTORY = 0x0800
} mz_zip_flags;
// ZIP archive reading
// Inits a ZIP archive reader.
// These functions read and validate the archive's central directory.
mz_bool mz_zip_reader_init(mz_zip_archive *pZip, mz_uint64 size,
mz_uint32 flags);
mz_bool mz_zip_reader_init_mem(mz_zip_archive *pZip, const void *pMem,
size_t size, mz_uint32 flags);
#ifndef MINIZ_NO_STDIO
mz_bool mz_zip_reader_init_file(mz_zip_archive *pZip, const char *pFilename,
mz_uint32 flags);
#endif
// Returns the total number of files in the archive.
mz_uint mz_zip_reader_get_num_files(mz_zip_archive *pZip);
// Returns detailed information about an archive file entry.
mz_bool mz_zip_reader_file_stat(mz_zip_archive *pZip, mz_uint file_index,
mz_zip_archive_file_stat *pStat);
// Determines if an archive file entry is a directory entry.
mz_bool mz_zip_reader_is_file_a_directory(mz_zip_archive *pZip,
mz_uint file_index);
mz_bool mz_zip_reader_is_file_encrypted(mz_zip_archive *pZip,
mz_uint file_index);
// Retrieves the filename of an archive file entry.
// Returns the number of bytes written to pFilename, or if filename_buf_size is
// 0 this function returns the number of bytes needed to fully store the
// filename.
mz_uint mz_zip_reader_get_filename(mz_zip_archive *pZip, mz_uint file_index,
char *pFilename, mz_uint filename_buf_size);
// Attempts to locates a file in the archive's central directory.
// Valid flags: MZ_ZIP_FLAG_CASE_SENSITIVE, MZ_ZIP_FLAG_IGNORE_PATH
// Returns -1 if the file cannot be found.
int mz_zip_reader_locate_file(mz_zip_archive *pZip, const char *pName,
const char *pComment, mz_uint flags);
// Extracts a archive file to a memory buffer using no memory allocation.
mz_bool mz_zip_reader_extract_to_mem_no_alloc(mz_zip_archive *pZip,
mz_uint file_index, void *pBuf,
size_t buf_size, mz_uint flags,
void *pUser_read_buf,
size_t user_read_buf_size);
mz_bool mz_zip_reader_extract_file_to_mem_no_alloc(
mz_zip_archive *pZip, const char *pFilename, void *pBuf, size_t buf_size,
mz_uint flags, void *pUser_read_buf, size_t user_read_buf_size);
// Extracts a archive file to a memory buffer.
mz_bool mz_zip_reader_extract_to_mem(mz_zip_archive *pZip, mz_uint file_index,
void *pBuf, size_t buf_size,
mz_uint flags);
mz_bool mz_zip_reader_extract_file_to_mem(mz_zip_archive *pZip,
const char *pFilename, void *pBuf,
size_t buf_size, mz_uint flags);
// Extracts a archive file to a dynamically allocated heap buffer.
void *mz_zip_reader_extract_to_heap(mz_zip_archive *pZip, mz_uint file_index,
size_t *pSize, mz_uint flags);
void *mz_zip_reader_extract_file_to_heap(mz_zip_archive *pZip,
const char *pFilename, size_t *pSize,
mz_uint flags);
// Extracts a archive file using a callback function to output the file's data.
mz_bool mz_zip_reader_extract_to_callback(mz_zip_archive *pZip,
mz_uint file_index,
mz_file_write_func pCallback,
void *pOpaque, mz_uint flags);
mz_bool mz_zip_reader_extract_file_to_callback(mz_zip_archive *pZip,
const char *pFilename,
mz_file_write_func pCallback,
void *pOpaque, mz_uint flags);
#ifndef MINIZ_NO_STDIO
// Extracts a archive file to a disk file and sets its last accessed and
// modified times.
// This function only extracts files, not archive directory records.
mz_bool mz_zip_reader_extract_to_file(mz_zip_archive *pZip, mz_uint file_index,
const char *pDst_filename, mz_uint flags);
mz_bool mz_zip_reader_extract_file_to_file(mz_zip_archive *pZip,
const char *pArchive_filename,
const char *pDst_filename,
mz_uint flags);
#endif
// Ends archive reading, freeing all allocations, and closing the input archive
// file if mz_zip_reader_init_file() was used.
mz_bool mz_zip_reader_end(mz_zip_archive *pZip);
// ZIP archive writing
#ifndef MINIZ_NO_ARCHIVE_WRITING_APIS
// Inits a ZIP archive writer.
mz_bool mz_zip_writer_init(mz_zip_archive *pZip, mz_uint64 existing_size);
mz_bool mz_zip_writer_init_heap(mz_zip_archive *pZip,
size_t size_to_reserve_at_beginning,
size_t initial_allocation_size);
#ifndef MINIZ_NO_STDIO
mz_bool mz_zip_writer_init_file(mz_zip_archive *pZip, const char *pFilename,
mz_uint64 size_to_reserve_at_beginning);
#endif
// Converts a ZIP archive reader object into a writer object, to allow efficient
// in-place file appends to occur on an existing archive.
// For archives opened using mz_zip_reader_init_file, pFilename must be the
// archive's filename so it can be reopened for writing. If the file can't be
// reopened, mz_zip_reader_end() will be called.
// For archives opened using mz_zip_reader_init_mem, the memory block must be
// growable using the realloc callback (which defaults to realloc unless you've
// overridden it).
// Finally, for archives opened using mz_zip_reader_init, the mz_zip_archive's
// user provided m_pWrite function cannot be NULL.
// Note: In-place archive modification is not recommended unless you know what
// you're doing, because if execution stops or something goes wrong before
// the archive is finalized the file's central directory will be hosed.
mz_bool mz_zip_writer_init_from_reader(mz_zip_archive *pZip,
const char *pFilename);
// Adds the contents of a memory buffer to an archive. These functions record
// the current local time into the archive.
// To add a directory entry, call this method with an archive name ending in a
// forwardslash with empty buffer.
// level_and_flags - compression level (0-10, see MZ_BEST_SPEED,
// MZ_BEST_COMPRESSION, etc.) logically OR'd with zero or more mz_zip_flags, or
// just set to MZ_DEFAULT_COMPRESSION.
mz_bool mz_zip_writer_add_mem(mz_zip_archive *pZip, const char *pArchive_name,
const void *pBuf, size_t buf_size,
mz_uint level_and_flags);
mz_bool mz_zip_writer_add_mem_ex(mz_zip_archive *pZip,
const char *pArchive_name, const void *pBuf,
size_t buf_size, const void *pComment,
mz_uint16 comment_size,
mz_uint level_and_flags, mz_uint64 uncomp_size,
mz_uint32 uncomp_crc32);
#ifndef MINIZ_NO_STDIO
// Adds the contents of a disk file to an archive. This function also records
// the disk file's modified time into the archive.
// level_and_flags - compression level (0-10, see MZ_BEST_SPEED,
// MZ_BEST_COMPRESSION, etc.) logically OR'd with zero or more mz_zip_flags, or
// just set to MZ_DEFAULT_COMPRESSION.
mz_bool mz_zip_writer_add_file(mz_zip_archive *pZip, const char *pArchive_name,
const char *pSrc_filename, const void *pComment,
mz_uint16 comment_size, mz_uint level_and_flags);
#endif
// Adds a file to an archive by fully cloning the data from another archive.
// This function fully clones the source file's compressed data (no
// recompression), along with its full filename, extra data, and comment fields.
mz_bool mz_zip_writer_add_from_zip_reader(mz_zip_archive *pZip,
mz_zip_archive *pSource_zip,
mz_uint file_index);
// Finalizes the archive by writing the central directory records followed by
// the end of central directory record.
// After an archive is finalized, the only valid call on the mz_zip_archive
// struct is mz_zip_writer_end().
// An archive must be manually finalized by calling this function for it to be
// valid.
mz_bool mz_zip_writer_finalize_archive(mz_zip_archive *pZip);
mz_bool mz_zip_writer_finalize_heap_archive(mz_zip_archive *pZip, void **pBuf,
size_t *pSize);
// Ends archive writing, freeing all allocations, and closing the output file if
// mz_zip_writer_init_file() was used.
// Note for the archive to be valid, it must have been finalized before ending.
mz_bool mz_zip_writer_end(mz_zip_archive *pZip);
// Misc. high-level helper functions:
// mz_zip_add_mem_to_archive_file_in_place() efficiently (but not atomically)
// appends a memory blob to a ZIP archive.
// level_and_flags - compression level (0-10, see MZ_BEST_SPEED,
// MZ_BEST_COMPRESSION, etc.) logically OR'd with zero or more mz_zip_flags, or
// just set to MZ_DEFAULT_COMPRESSION.
mz_bool mz_zip_add_mem_to_archive_file_in_place(
const char *pZip_filename, const char *pArchive_name, const void *pBuf,
size_t buf_size, const void *pComment, mz_uint16 comment_size,
mz_uint level_and_flags);
// Reads a single file from an archive into a heap block.
// Returns NULL on failure.
void *mz_zip_extract_archive_file_to_heap(const char *pZip_filename,
const char *pArchive_name,
size_t *pSize, mz_uint zip_flags);
#endif // #ifndef MINIZ_NO_ARCHIVE_WRITING_APIS
#endif // #ifndef MINIZ_NO_ARCHIVE_APIS
// ------------------- Low-level Decompression API Definitions
// Decompression flags used by tinfl_decompress().
// TINFL_FLAG_PARSE_ZLIB_HEADER: If set, the input has a valid zlib header and
// ends with an adler32 checksum (it's a valid zlib stream). Otherwise, the
// input is a raw deflate stream.
// TINFL_FLAG_HAS_MORE_INPUT: If set, there are more input bytes available
// beyond the end of the supplied input buffer. If clear, the input buffer
// contains all remaining input.
// TINFL_FLAG_USING_NON_WRAPPING_OUTPUT_BUF: If set, the output buffer is large
// enough to hold the entire decompressed stream. If clear, the output buffer is
// at least the size of the dictionary (typically 32KB).
// TINFL_FLAG_COMPUTE_ADLER32: Force adler-32 checksum computation of the
// decompressed bytes.
enum {
TINFL_FLAG_PARSE_ZLIB_HEADER = 1,
TINFL_FLAG_HAS_MORE_INPUT = 2,
TINFL_FLAG_USING_NON_WRAPPING_OUTPUT_BUF = 4,
TINFL_FLAG_COMPUTE_ADLER32 = 8
};
// High level decompression functions:
// tinfl_decompress_mem_to_heap() decompresses a block in memory to a heap block
// allocated via malloc().
// On entry:
// pSrc_buf, src_buf_len: Pointer and size of the Deflate or zlib source data
// to decompress.
// On return:
// Function returns a pointer to the decompressed data, or NULL on failure.
// *pOut_len will be set to the decompressed data's size, which could be larger
// than src_buf_len on uncompressible data.
// The caller must call mz_free() on the returned block when it's no longer
// needed.
void *tinfl_decompress_mem_to_heap(const void *pSrc_buf, size_t src_buf_len,
size_t *pOut_len, int flags);
// tinfl_decompress_mem_to_mem() decompresses a block in memory to another block
// in memory.
// Returns TINFL_DECOMPRESS_MEM_TO_MEM_FAILED on failure, or the number of bytes
// written on success.
#define TINFL_DECOMPRESS_MEM_TO_MEM_FAILED ((size_t)(-1))
size_t tinfl_decompress_mem_to_mem(void *pOut_buf, size_t out_buf_len,
const void *pSrc_buf, size_t src_buf_len,
int flags);
// tinfl_decompress_mem_to_callback() decompresses a block in memory to an
// internal 32KB buffer, and a user provided callback function will be called to
// flush the buffer.
// Returns 1 on success or 0 on failure.
typedef int (*tinfl_put_buf_func_ptr)(const void *pBuf, int len, void *pUser);
int tinfl_decompress_mem_to_callback(const void *pIn_buf, size_t *pIn_buf_size,
tinfl_put_buf_func_ptr pPut_buf_func,
void *pPut_buf_user, int flags);
struct tinfl_decompressor_tag;
typedef struct tinfl_decompressor_tag tinfl_decompressor;
// Max size of LZ dictionary.
#define TINFL_LZ_DICT_SIZE 32768
// Return status.
typedef enum {
TINFL_STATUS_BAD_PARAM = -3,
TINFL_STATUS_ADLER32_MISMATCH = -2,
TINFL_STATUS_FAILED = -1,
TINFL_STATUS_DONE = 0,
TINFL_STATUS_NEEDS_MORE_INPUT = 1,
TINFL_STATUS_HAS_MORE_OUTPUT = 2
} tinfl_status;
// Initializes the decompressor to its initial state.
#define tinfl_init(r) \
do { \
(r)->m_state = 0; \
} \
MZ_MACRO_END
#define tinfl_get_adler32(r) (r)->m_check_adler32
// Main low-level decompressor coroutine function. This is the only function
// actually needed for decompression. All the other functions are just
// high-level helpers for improved usability.
// This is a universal API, i.e. it can be used as a building block to build any
// desired higher level decompression API. In the limit case, it can be called
// once per every byte input or output.
tinfl_status tinfl_decompress(tinfl_decompressor *r,
const mz_uint8 *pIn_buf_next,
size_t *pIn_buf_size, mz_uint8 *pOut_buf_start,
mz_uint8 *pOut_buf_next, size_t *pOut_buf_size,
const mz_uint32 decomp_flags);
// Internal/private bits follow.
enum {
TINFL_MAX_HUFF_TABLES = 3,
TINFL_MAX_HUFF_SYMBOLS_0 = 288,
TINFL_MAX_HUFF_SYMBOLS_1 = 32,
TINFL_MAX_HUFF_SYMBOLS_2 = 19,
TINFL_FAST_LOOKUP_BITS = 10,
TINFL_FAST_LOOKUP_SIZE = 1 << TINFL_FAST_LOOKUP_BITS
};
typedef struct {
mz_uint8 m_code_size[TINFL_MAX_HUFF_SYMBOLS_0];
mz_int16 m_look_up[TINFL_FAST_LOOKUP_SIZE],
m_tree[TINFL_MAX_HUFF_SYMBOLS_0 * 2];
} tinfl_huff_table;
#if MINIZ_HAS_64BIT_REGISTERS
#define TINFL_USE_64BIT_BITBUF 1
#endif
#if TINFL_USE_64BIT_BITBUF
typedef mz_uint64 tinfl_bit_buf_t;
#define TINFL_BITBUF_SIZE (64)
#else
typedef mz_uint32 tinfl_bit_buf_t;
#define TINFL_BITBUF_SIZE (32)
#endif
struct tinfl_decompressor_tag {
mz_uint32 m_state, m_num_bits, m_zhdr0, m_zhdr1, m_z_adler32, m_final, m_type,
m_check_adler32, m_dist, m_counter, m_num_extra,
m_table_sizes[TINFL_MAX_HUFF_TABLES];
tinfl_bit_buf_t m_bit_buf;
size_t m_dist_from_out_buf_start;
tinfl_huff_table m_tables[TINFL_MAX_HUFF_TABLES];
mz_uint8 m_raw_header[4],
m_len_codes[TINFL_MAX_HUFF_SYMBOLS_0 + TINFL_MAX_HUFF_SYMBOLS_1 + 137];
};
// ------------------- Low-level Compression API Definitions
// Set TDEFL_LESS_MEMORY to 1 to use less memory (compression will be slightly
// slower, and raw/dynamic blocks will be output more frequently).
#define TDEFL_LESS_MEMORY 0
// tdefl_init() compression flags logically OR'd together (low 12 bits contain
// the max. number of probes per dictionary search):
// TDEFL_DEFAULT_MAX_PROBES: The compressor defaults to 128 dictionary probes
// per dictionary search. 0=Huffman only, 1=Huffman+LZ (fastest/crap
// compression), 4095=Huffman+LZ (slowest/best compression).
enum {
TDEFL_HUFFMAN_ONLY = 0,
TDEFL_DEFAULT_MAX_PROBES = 128,
TDEFL_MAX_PROBES_MASK = 0xFFF
};
// TDEFL_WRITE_ZLIB_HEADER: If set, the compressor outputs a zlib header before
// the deflate data, and the Adler-32 of the source data at the end. Otherwise,
// you'll get raw deflate data.
// TDEFL_COMPUTE_ADLER32: Always compute the adler-32 of the input data (even
// when not writing zlib headers).
// TDEFL_GREEDY_PARSING_FLAG: Set to use faster greedy parsing, instead of more
// efficient lazy parsing.
// TDEFL_NONDETERMINISTIC_PARSING_FLAG: Enable to decrease the compressor's
// initialization time to the minimum, but the output may vary from run to run
// given the same input (depending on the contents of memory).
// TDEFL_RLE_MATCHES: Only look for RLE matches (matches with a distance of 1)
// TDEFL_FILTER_MATCHES: Discards matches <= 5 chars if enabled.
// TDEFL_FORCE_ALL_STATIC_BLOCKS: Disable usage of optimized Huffman tables.
// TDEFL_FORCE_ALL_RAW_BLOCKS: Only use raw (uncompressed) deflate blocks.
// The low 12 bits are reserved to control the max # of hash probes per
// dictionary lookup (see TDEFL_MAX_PROBES_MASK).
enum {
TDEFL_WRITE_ZLIB_HEADER = 0x01000,
TDEFL_COMPUTE_ADLER32 = 0x02000,
TDEFL_GREEDY_PARSING_FLAG = 0x04000,
TDEFL_NONDETERMINISTIC_PARSING_FLAG = 0x08000,
TDEFL_RLE_MATCHES = 0x10000,
TDEFL_FILTER_MATCHES = 0x20000,
TDEFL_FORCE_ALL_STATIC_BLOCKS = 0x40000,
TDEFL_FORCE_ALL_RAW_BLOCKS = 0x80000
};
// High level compression functions:
// tdefl_compress_mem_to_heap() compresses a block in memory to a heap block
// allocated via malloc().
// On entry:
// pSrc_buf, src_buf_len: Pointer and size of source block to compress.
// flags: The max match finder probes (default is 128) logically OR'd against
// the above flags. Higher probes are slower but improve compression.
// On return:
// Function returns a pointer to the compressed data, or NULL on failure.
// *pOut_len will be set to the compressed data's size, which could be larger
// than src_buf_len on uncompressible data.
// The caller must free() the returned block when it's no longer needed.
void *tdefl_compress_mem_to_heap(const void *pSrc_buf, size_t src_buf_len,
size_t *pOut_len, int flags);
// tdefl_compress_mem_to_mem() compresses a block in memory to another block in
// memory.
// Returns 0 on failure.
size_t tdefl_compress_mem_to_mem(void *pOut_buf, size_t out_buf_len,
const void *pSrc_buf, size_t src_buf_len,
int flags);
// Compresses an image to a compressed PNG file in memory.
// On entry:
// pImage, w, h, and num_chans describe the image to compress. num_chans may be
// 1, 2, 3, or 4.
// The image pitch in bytes per scanline will be w*num_chans. The leftmost
// pixel on the top scanline is stored first in memory.
// level may range from [0,10], use MZ_NO_COMPRESSION, MZ_BEST_SPEED,
// MZ_BEST_COMPRESSION, etc. or a decent default is MZ_DEFAULT_LEVEL
// If flip is true, the image will be flipped on the Y axis (useful for OpenGL
// apps).
// On return:
// Function returns a pointer to the compressed data, or NULL on failure.
// *pLen_out will be set to the size of the PNG image file.
// The caller must mz_free() the returned heap block (which will typically be
// larger than *pLen_out) when it's no longer needed.
void *tdefl_write_image_to_png_file_in_memory_ex(const void *pImage, int w,
int h, int num_chans,
size_t *pLen_out,
mz_uint level, mz_bool flip);
void *tdefl_write_image_to_png_file_in_memory(const void *pImage, int w, int h,
int num_chans, size_t *pLen_out);
// Output stream interface. The compressor uses this interface to write
// compressed data. It'll typically be called TDEFL_OUT_BUF_SIZE at a time.
typedef mz_bool (*tdefl_put_buf_func_ptr)(const void *pBuf, int len,
void *pUser);
// tdefl_compress_mem_to_output() compresses a block to an output stream. The
// above helpers use this function internally.
mz_bool tdefl_compress_mem_to_output(const void *pBuf, size_t buf_len,
tdefl_put_buf_func_ptr pPut_buf_func,
void *pPut_buf_user, int flags);
enum {
TDEFL_MAX_HUFF_TABLES = 3,
TDEFL_MAX_HUFF_SYMBOLS_0 = 288,
TDEFL_MAX_HUFF_SYMBOLS_1 = 32,
TDEFL_MAX_HUFF_SYMBOLS_2 = 19,
TDEFL_LZ_DICT_SIZE = 32768,
TDEFL_LZ_DICT_SIZE_MASK = TDEFL_LZ_DICT_SIZE - 1,
TDEFL_MIN_MATCH_LEN = 3,
TDEFL_MAX_MATCH_LEN = 258
};
// TDEFL_OUT_BUF_SIZE MUST be large enough to hold a single entire compressed
// output block (using static/fixed Huffman codes).
#if TDEFL_LESS_MEMORY
enum {
TDEFL_LZ_CODE_BUF_SIZE = 24 * 1024,
TDEFL_OUT_BUF_SIZE = (TDEFL_LZ_CODE_BUF_SIZE * 13) / 10,
TDEFL_MAX_HUFF_SYMBOLS = 288,
TDEFL_LZ_HASH_BITS = 12,
TDEFL_LEVEL1_HASH_SIZE_MASK = 4095,
TDEFL_LZ_HASH_SHIFT = (TDEFL_LZ_HASH_BITS + 2) / 3,
TDEFL_LZ_HASH_SIZE = 1 << TDEFL_LZ_HASH_BITS
};
#else
enum {
TDEFL_LZ_CODE_BUF_SIZE = 64 * 1024,
TDEFL_OUT_BUF_SIZE = (TDEFL_LZ_CODE_BUF_SIZE * 13) / 10,
TDEFL_MAX_HUFF_SYMBOLS = 288,
TDEFL_LZ_HASH_BITS = 15,
TDEFL_LEVEL1_HASH_SIZE_MASK = 4095,
TDEFL_LZ_HASH_SHIFT = (TDEFL_LZ_HASH_BITS + 2) / 3,
TDEFL_LZ_HASH_SIZE = 1 << TDEFL_LZ_HASH_BITS
};
#endif
// The low-level tdefl functions below may be used directly if the above helper
// functions aren't flexible enough. The low-level functions don't make any heap
// allocations, unlike the above helper functions.
typedef enum {
TDEFL_STATUS_BAD_PARAM = -2,
TDEFL_STATUS_PUT_BUF_FAILED = -1,
TDEFL_STATUS_OKAY = 0,
TDEFL_STATUS_DONE = 1
} tdefl_status;
// Must map to MZ_NO_FLUSH, MZ_SYNC_FLUSH, etc. enums
typedef enum {
TDEFL_NO_FLUSH = 0,
TDEFL_SYNC_FLUSH = 2,
TDEFL_FULL_FLUSH = 3,
TDEFL_FINISH = 4
} tdefl_flush;
// tdefl's compression state structure.
typedef struct {
tdefl_put_buf_func_ptr m_pPut_buf_func;
void *m_pPut_buf_user;
mz_uint m_flags, m_max_probes[2];
int m_greedy_parsing;
mz_uint m_adler32, m_lookahead_pos, m_lookahead_size, m_dict_size;
mz_uint8 *m_pLZ_code_buf, *m_pLZ_flags, *m_pOutput_buf, *m_pOutput_buf_end;
mz_uint m_num_flags_left, m_total_lz_bytes, m_lz_code_buf_dict_pos, m_bits_in,
m_bit_buffer;
mz_uint m_saved_match_dist, m_saved_match_len, m_saved_lit,
m_output_flush_ofs, m_output_flush_remaining, m_finished, m_block_index,
m_wants_to_finish;
tdefl_status m_prev_return_status;
const void *m_pIn_buf;
void *m_pOut_buf;
size_t *m_pIn_buf_size, *m_pOut_buf_size;
tdefl_flush m_flush;
const mz_uint8 *m_pSrc;
size_t m_src_buf_left, m_out_buf_ofs;
mz_uint8 m_dict[TDEFL_LZ_DICT_SIZE + TDEFL_MAX_MATCH_LEN - 1];
mz_uint16 m_huff_count[TDEFL_MAX_HUFF_TABLES][TDEFL_MAX_HUFF_SYMBOLS];
mz_uint16 m_huff_codes[TDEFL_MAX_HUFF_TABLES][TDEFL_MAX_HUFF_SYMBOLS];
mz_uint8 m_huff_code_sizes[TDEFL_MAX_HUFF_TABLES][TDEFL_MAX_HUFF_SYMBOLS];
mz_uint8 m_lz_code_buf[TDEFL_LZ_CODE_BUF_SIZE];
mz_uint16 m_next[TDEFL_LZ_DICT_SIZE];
mz_uint16 m_hash[TDEFL_LZ_HASH_SIZE];
mz_uint8 m_output_buf[TDEFL_OUT_BUF_SIZE];
} tdefl_compressor;
// Initializes the compressor.
// There is no corresponding deinit() function because the tdefl API's do not
// dynamically allocate memory.
// pBut_buf_func: If NULL, output data will be supplied to the specified
// callback. In this case, the user should call the tdefl_compress_buffer() API
// for compression.
// If pBut_buf_func is NULL the user should always call the tdefl_compress()
// API.
// flags: See the above enums (TDEFL_HUFFMAN_ONLY, TDEFL_WRITE_ZLIB_HEADER,
// etc.)
tdefl_status tdefl_init(tdefl_compressor *d,
tdefl_put_buf_func_ptr pPut_buf_func,
void *pPut_buf_user, int flags);
// Compresses a block of data, consuming as much of the specified input buffer
// as possible, and writing as much compressed data to the specified output
// buffer as possible.
tdefl_status tdefl_compress(tdefl_compressor *d, const void *pIn_buf,
size_t *pIn_buf_size, void *pOut_buf,
size_t *pOut_buf_size, tdefl_flush flush);
// tdefl_compress_buffer() is only usable when the tdefl_init() is called with a
// non-NULL tdefl_put_buf_func_ptr.
// tdefl_compress_buffer() always consumes the entire input buffer.
tdefl_status tdefl_compress_buffer(tdefl_compressor *d, const void *pIn_buf,
size_t in_buf_size, tdefl_flush flush);
tdefl_status tdefl_get_prev_return_status(tdefl_compressor *d);
mz_uint32 tdefl_get_adler32(tdefl_compressor *d);
// Can't use tdefl_create_comp_flags_from_zip_params if MINIZ_NO_ZLIB_APIS isn't
// defined, because it uses some of its macros.
#ifndef MINIZ_NO_ZLIB_APIS
// Create tdefl_compress() flags given zlib-style compression parameters.
// level may range from [0,10] (where 10 is absolute max compression, but may be
// much slower on some files)
// window_bits may be -15 (raw deflate) or 15 (zlib)
// strategy may be either MZ_DEFAULT_STRATEGY, MZ_FILTERED, MZ_HUFFMAN_ONLY,
// MZ_RLE, or MZ_FIXED
mz_uint tdefl_create_comp_flags_from_zip_params(int level, int window_bits,
int strategy);
#endif // #ifndef MINIZ_NO_ZLIB_APIS
#ifdef __cplusplus
}
#endif
#endif // MINIZ_HEADER_INCLUDED
// ------------------- End of Header: Implementation follows. (If you only want
// the header, define MINIZ_HEADER_FILE_ONLY.)
#ifndef MINIZ_HEADER_FILE_ONLY
typedef unsigned char mz_validate_uint16[sizeof(mz_uint16) == 2 ? 1 : -1];
typedef unsigned char mz_validate_uint32[sizeof(mz_uint32) == 4 ? 1 : -1];
typedef unsigned char mz_validate_uint64[sizeof(mz_uint64) == 8 ? 1 : -1];
#include <assert.h>
#include <string.h>
#define MZ_ASSERT(x) assert(x)
#ifdef MINIZ_NO_MALLOC
#define MZ_MALLOC(x) NULL
#define MZ_FREE(x) (void)x, ((void)0)
#define MZ_REALLOC(p, x) NULL
#else
#define MZ_MALLOC(x) malloc(x)
#define MZ_FREE(x) free(x)
#define MZ_REALLOC(p, x) realloc(p, x)
#endif
#define MZ_MAX(a, b) (((a) > (b)) ? (a) : (b))
#define MZ_MIN(a, b) (((a) < (b)) ? (a) : (b))
#define MZ_CLEAR_OBJ(obj) memset(&(obj), 0, sizeof(obj))
#if MINIZ_USE_UNALIGNED_LOADS_AND_STORES && MINIZ_LITTLE_ENDIAN
#define MZ_READ_LE16(p) *((const mz_uint16 *)(p))
#define MZ_READ_LE32(p) *((const mz_uint32 *)(p))
#else
#define MZ_READ_LE16(p) \
((mz_uint32)(((const mz_uint8 *)(p))[0]) | \
((mz_uint32)(((const mz_uint8 *)(p))[1]) << 8U))
#define MZ_READ_LE32(p) \
((mz_uint32)(((const mz_uint8 *)(p))[0]) | \
((mz_uint32)(((const mz_uint8 *)(p))[1]) << 8U) | \
((mz_uint32)(((const mz_uint8 *)(p))[2]) << 16U) | \
((mz_uint32)(((const mz_uint8 *)(p))[3]) << 24U))
#endif
#ifdef _MSC_VER
#define MZ_FORCEINLINE __forceinline
#elif defined(__GNUC__)
#define MZ_FORCEINLINE inline __attribute__((__always_inline__))
#else
#define MZ_FORCEINLINE inline
#endif
#ifdef __cplusplus
extern "C" {
#endif
// ------------------- zlib-style API's
mz_ulong mz_adler32(mz_ulong adler, const unsigned char *ptr, size_t buf_len) {
mz_uint32 i, s1 = (mz_uint32)(adler & 0xffff), s2 = (mz_uint32)(adler >> 16);
size_t block_len = buf_len % 5552;
if (!ptr) return MZ_ADLER32_INIT;
while (buf_len) {
for (i = 0; i + 7 < block_len; i += 8, ptr += 8) {
s1 += ptr[0], s2 += s1;
s1 += ptr[1], s2 += s1;
s1 += ptr[2], s2 += s1;
s1 += ptr[3], s2 += s1;
s1 += ptr[4], s2 += s1;
s1 += ptr[5], s2 += s1;
s1 += ptr[6], s2 += s1;
s1 += ptr[7], s2 += s1;
}
for (; i < block_len; ++i) s1 += *ptr++, s2 += s1;
s1 %= 65521U, s2 %= 65521U;
buf_len -= block_len;
block_len = 5552;
}
return (s2 << 16) + s1;
}
// Karl Malbrain's compact CRC-32. See "A compact CCITT crc16 and crc32 C
// implementation that balances processor cache usage against speed":
// http://www.geocities.com/malbrain/
mz_ulong mz_crc32(mz_ulong crc, const mz_uint8 *ptr, size_t buf_len) {
static const mz_uint32 s_crc32[16] = {
0, 0x1db71064, 0x3b6e20c8, 0x26d930ac, 0x76dc4190, 0x6b6b51f4,
0x4db26158, 0x5005713c, 0xedb88320, 0xf00f9344, 0xd6d6a3e8, 0xcb61b38c,
0x9b64c2b0, 0x86d3d2d4, 0xa00ae278, 0xbdbdf21c};
mz_uint32 crcu32 = (mz_uint32)crc;
if (!ptr) return MZ_CRC32_INIT;
crcu32 = ~crcu32;
while (buf_len--) {
mz_uint8 b = *ptr++;
crcu32 = (crcu32 >> 4) ^ s_crc32[(crcu32 & 0xF) ^ (b & 0xF)];
crcu32 = (crcu32 >> 4) ^ s_crc32[(crcu32 & 0xF) ^ (b >> 4)];
}
return ~crcu32;
}
void mz_free(void *p) { MZ_FREE(p); }
#ifndef MINIZ_NO_ZLIB_APIS
static void *def_alloc_func(void *opaque, size_t items, size_t size) {
(void)opaque, (void)items, (void)size;
return MZ_MALLOC(items * size);
}
static void def_free_func(void *opaque, void *address) {
(void)opaque, (void)address;
MZ_FREE(address);
}
static void *def_realloc_func(void *opaque, void *address, size_t items,
size_t size) {
(void)opaque, (void)address, (void)items, (void)size;
return MZ_REALLOC(address, items * size);
}
const char *mz_version(void) { return MZ_VERSION; }
int mz_deflateInit(mz_streamp pStream, int level) {
return mz_deflateInit2(pStream, level, MZ_DEFLATED, MZ_DEFAULT_WINDOW_BITS, 9,
MZ_DEFAULT_STRATEGY);
}
int mz_deflateInit2(mz_streamp pStream, int level, int method, int window_bits,
int mem_level, int strategy) {
tdefl_compressor *pComp;
mz_uint comp_flags =
TDEFL_COMPUTE_ADLER32 |
tdefl_create_comp_flags_from_zip_params(level, window_bits, strategy);
if (!pStream) return MZ_STREAM_ERROR;
if ((method != MZ_DEFLATED) || ((mem_level < 1) || (mem_level > 9)) ||
((window_bits != MZ_DEFAULT_WINDOW_BITS) &&
(-window_bits != MZ_DEFAULT_WINDOW_BITS)))
return MZ_PARAM_ERROR;
pStream->data_type = 0;
pStream->adler = MZ_ADLER32_INIT;
pStream->msg = NULL;
pStream->reserved = 0;
pStream->total_in = 0;
pStream->total_out = 0;
if (!pStream->zalloc) pStream->zalloc = def_alloc_func;
if (!pStream->zfree) pStream->zfree = def_free_func;
pComp = (tdefl_compressor *)pStream->zalloc(pStream->opaque, 1,
sizeof(tdefl_compressor));
if (!pComp) return MZ_MEM_ERROR;
pStream->state = (struct mz_internal_state *)pComp;
if (tdefl_init(pComp, NULL, NULL, comp_flags) != TDEFL_STATUS_OKAY) {
mz_deflateEnd(pStream);
return MZ_PARAM_ERROR;
}
return MZ_OK;
}
int mz_deflateReset(mz_streamp pStream) {
if ((!pStream) || (!pStream->state) || (!pStream->zalloc) ||
(!pStream->zfree))
return MZ_STREAM_ERROR;
pStream->total_in = pStream->total_out = 0;
tdefl_init((tdefl_compressor *)pStream->state, NULL, NULL,
((tdefl_compressor *)pStream->state)->m_flags);
return MZ_OK;
}
int mz_deflate(mz_streamp pStream, int flush) {
size_t in_bytes, out_bytes;
mz_ulong orig_total_in, orig_total_out;
int mz_status = MZ_OK;
if ((!pStream) || (!pStream->state) || (flush < 0) || (flush > MZ_FINISH) ||
(!pStream->next_out))
return MZ_STREAM_ERROR;
if (!pStream->avail_out) return MZ_BUF_ERROR;
if (flush == MZ_PARTIAL_FLUSH) flush = MZ_SYNC_FLUSH;
if (((tdefl_compressor *)pStream->state)->m_prev_return_status ==
TDEFL_STATUS_DONE)
return (flush == MZ_FINISH) ? MZ_STREAM_END : MZ_BUF_ERROR;
orig_total_in = pStream->total_in;
orig_total_out = pStream->total_out;
for (;;) {
tdefl_status defl_status;
in_bytes = pStream->avail_in;
out_bytes = pStream->avail_out;
defl_status = tdefl_compress((tdefl_compressor *)pStream->state,
pStream->next_in, &in_bytes, pStream->next_out,
&out_bytes, (tdefl_flush)flush);
pStream->next_in += (mz_uint)in_bytes;
pStream->avail_in -= (mz_uint)in_bytes;
pStream->total_in += (mz_uint)in_bytes;
pStream->adler = tdefl_get_adler32((tdefl_compressor *)pStream->state);
pStream->next_out += (mz_uint)out_bytes;
pStream->avail_out -= (mz_uint)out_bytes;
pStream->total_out += (mz_uint)out_bytes;
if (defl_status < 0) {
mz_status = MZ_STREAM_ERROR;
break;
} else if (defl_status == TDEFL_STATUS_DONE) {
mz_status = MZ_STREAM_END;
break;
} else if (!pStream->avail_out)
break;
else if ((!pStream->avail_in) && (flush != MZ_FINISH)) {
if ((flush) || (pStream->total_in != orig_total_in) ||
(pStream->total_out != orig_total_out))
break;
return MZ_BUF_ERROR; // Can't make forward progress without some input.
}
}
return mz_status;
}
int mz_deflateEnd(mz_streamp pStream) {
if (!pStream) return MZ_STREAM_ERROR;
if (pStream->state) {
pStream->zfree(pStream->opaque, pStream->state);
pStream->state = NULL;
}
return MZ_OK;
}
mz_ulong mz_deflateBound(mz_streamp pStream, mz_ulong source_len) {
(void)pStream;
// This is really over conservative. (And lame, but it's actually pretty
// tricky to compute a true upper bound given the way tdefl's blocking works.)
return MZ_MAX(128 + (source_len * 110) / 100,
128 + source_len + ((source_len / (31 * 1024)) + 1) * 5);
}
int mz_compress2(unsigned char *pDest, mz_ulong *pDest_len,
const unsigned char *pSource, mz_ulong source_len, int level) {
int status;
mz_stream stream;
memset(&stream, 0, sizeof(stream));
// In case mz_ulong is 64-bits (argh I hate longs).
if ((source_len | *pDest_len) > 0xFFFFFFFFU) return MZ_PARAM_ERROR;
stream.next_in = pSource;
stream.avail_in = (mz_uint32)source_len;
stream.next_out = pDest;
stream.avail_out = (mz_uint32)*pDest_len;
status = mz_deflateInit(&stream, level);
if (status != MZ_OK) return status;
status = mz_deflate(&stream, MZ_FINISH);
if (status != MZ_STREAM_END) {
mz_deflateEnd(&stream);
return (status == MZ_OK) ? MZ_BUF_ERROR : status;
}
*pDest_len = stream.total_out;
return mz_deflateEnd(&stream);
}
int mz_compress(unsigned char *pDest, mz_ulong *pDest_len,
const unsigned char *pSource, mz_ulong source_len) {
return mz_compress2(pDest, pDest_len, pSource, source_len,
MZ_DEFAULT_COMPRESSION);
}
mz_ulong mz_compressBound(mz_ulong source_len) {
return mz_deflateBound(NULL, source_len);
}
typedef struct {
tinfl_decompressor m_decomp;
mz_uint m_dict_ofs, m_dict_avail, m_first_call, m_has_flushed;
int m_window_bits;
mz_uint8 m_dict[TINFL_LZ_DICT_SIZE];
tinfl_status m_last_status;
} inflate_state;
int mz_inflateInit2(mz_streamp pStream, int window_bits) {
inflate_state *pDecomp;
if (!pStream) return MZ_STREAM_ERROR;
if ((window_bits != MZ_DEFAULT_WINDOW_BITS) &&
(-window_bits != MZ_DEFAULT_WINDOW_BITS))
return MZ_PARAM_ERROR;
pStream->data_type = 0;
pStream->adler = 0;
pStream->msg = NULL;
pStream->total_in = 0;
pStream->total_out = 0;
pStream->reserved = 0;
if (!pStream->zalloc) pStream->zalloc = def_alloc_func;
if (!pStream->zfree) pStream->zfree = def_free_func;
pDecomp = (inflate_state *)pStream->zalloc(pStream->opaque, 1,
sizeof(inflate_state));
if (!pDecomp) return MZ_MEM_ERROR;
pStream->state = (struct mz_internal_state *)pDecomp;
tinfl_init(&pDecomp->m_decomp);
pDecomp->m_dict_ofs = 0;
pDecomp->m_dict_avail = 0;
pDecomp->m_last_status = TINFL_STATUS_NEEDS_MORE_INPUT;
pDecomp->m_first_call = 1;
pDecomp->m_has_flushed = 0;
pDecomp->m_window_bits = window_bits;
return MZ_OK;
}
int mz_inflateInit(mz_streamp pStream) {
return mz_inflateInit2(pStream, MZ_DEFAULT_WINDOW_BITS);
}
int mz_inflate(mz_streamp pStream, int flush) {
inflate_state *pState;
mz_uint n, first_call, decomp_flags = TINFL_FLAG_COMPUTE_ADLER32;
size_t in_bytes, out_bytes, orig_avail_in;
tinfl_status status;
if ((!pStream) || (!pStream->state)) return MZ_STREAM_ERROR;
if (flush == MZ_PARTIAL_FLUSH) flush = MZ_SYNC_FLUSH;
if ((flush) && (flush != MZ_SYNC_FLUSH) && (flush != MZ_FINISH))
return MZ_STREAM_ERROR;
pState = (inflate_state *)pStream->state;
if (pState->m_window_bits > 0) decomp_flags |= TINFL_FLAG_PARSE_ZLIB_HEADER;
orig_avail_in = pStream->avail_in;
first_call = pState->m_first_call;
pState->m_first_call = 0;
if (pState->m_last_status < 0) return MZ_DATA_ERROR;
if (pState->m_has_flushed && (flush != MZ_FINISH)) return MZ_STREAM_ERROR;
pState->m_has_flushed |= (flush == MZ_FINISH);
if ((flush == MZ_FINISH) && (first_call)) {
// MZ_FINISH on the first call implies that the input and output buffers are
// large enough to hold the entire compressed/decompressed file.
decomp_flags |= TINFL_FLAG_USING_NON_WRAPPING_OUTPUT_BUF;
in_bytes = pStream->avail_in;
out_bytes = pStream->avail_out;
status = tinfl_decompress(&pState->m_decomp, pStream->next_in, &in_bytes,
pStream->next_out, pStream->next_out, &out_bytes,
decomp_flags);
pState->m_last_status = status;
pStream->next_in += (mz_uint)in_bytes;
pStream->avail_in -= (mz_uint)in_bytes;
pStream->total_in += (mz_uint)in_bytes;
pStream->adler = tinfl_get_adler32(&pState->m_decomp);
pStream->next_out += (mz_uint)out_bytes;
pStream->avail_out -= (mz_uint)out_bytes;
pStream->total_out += (mz_uint)out_bytes;
if (status < 0)
return MZ_DATA_ERROR;
else if (status != TINFL_STATUS_DONE) {
pState->m_last_status = TINFL_STATUS_FAILED;
return MZ_BUF_ERROR;
}
return MZ_STREAM_END;
}
// flush != MZ_FINISH then we must assume there's more input.
if (flush != MZ_FINISH) decomp_flags |= TINFL_FLAG_HAS_MORE_INPUT;
if (pState->m_dict_avail) {
n = MZ_MIN(pState->m_dict_avail, pStream->avail_out);
memcpy(pStream->next_out, pState->m_dict + pState->m_dict_ofs, n);
pStream->next_out += n;
pStream->avail_out -= n;
pStream->total_out += n;
pState->m_dict_avail -= n;
pState->m_dict_ofs = (pState->m_dict_ofs + n) & (TINFL_LZ_DICT_SIZE - 1);
return ((pState->m_last_status == TINFL_STATUS_DONE) &&
(!pState->m_dict_avail))
? MZ_STREAM_END
: MZ_OK;
}
for (;;) {
in_bytes = pStream->avail_in;
out_bytes = TINFL_LZ_DICT_SIZE - pState->m_dict_ofs;
status = tinfl_decompress(
&pState->m_decomp, pStream->next_in, &in_bytes, pState->m_dict,
pState->m_dict + pState->m_dict_ofs, &out_bytes, decomp_flags);
pState->m_last_status = status;
pStream->next_in += (mz_uint)in_bytes;
pStream->avail_in -= (mz_uint)in_bytes;
pStream->total_in += (mz_uint)in_bytes;
pStream->adler = tinfl_get_adler32(&pState->m_decomp);
pState->m_dict_avail = (mz_uint)out_bytes;
n = MZ_MIN(pState->m_dict_avail, pStream->avail_out);
memcpy(pStream->next_out, pState->m_dict + pState->m_dict_ofs, n);
pStream->next_out += n;
pStream->avail_out -= n;
pStream->total_out += n;
pState->m_dict_avail -= n;
pState->m_dict_ofs = (pState->m_dict_ofs + n) & (TINFL_LZ_DICT_SIZE - 1);
if (status < 0)
return MZ_DATA_ERROR; // Stream is corrupted (there could be some
// uncompressed data left in the output dictionary -
// oh well).
else if ((status == TINFL_STATUS_NEEDS_MORE_INPUT) && (!orig_avail_in))
return MZ_BUF_ERROR; // Signal caller that we can't make forward progress
// without supplying more input or by setting flush
// to MZ_FINISH.
else if (flush == MZ_FINISH) {
// The output buffer MUST be large to hold the remaining uncompressed data
// when flush==MZ_FINISH.
if (status == TINFL_STATUS_DONE)
return pState->m_dict_avail ? MZ_BUF_ERROR : MZ_STREAM_END;
// status here must be TINFL_STATUS_HAS_MORE_OUTPUT, which means there's
// at least 1 more byte on the way. If there's no more room left in the
// output buffer then something is wrong.
else if (!pStream->avail_out)
return MZ_BUF_ERROR;
} else if ((status == TINFL_STATUS_DONE) || (!pStream->avail_in) ||
(!pStream->avail_out) || (pState->m_dict_avail))
break;
}
return ((status == TINFL_STATUS_DONE) && (!pState->m_dict_avail))
? MZ_STREAM_END
: MZ_OK;
}
int mz_inflateEnd(mz_streamp pStream) {
if (!pStream) return MZ_STREAM_ERROR;
if (pStream->state) {
pStream->zfree(pStream->opaque, pStream->state);
pStream->state = NULL;
}
return MZ_OK;
}
int mz_uncompress(unsigned char *pDest, mz_ulong *pDest_len,
const unsigned char *pSource, mz_ulong source_len) {
mz_stream stream;
int status;
memset(&stream, 0, sizeof(stream));
// In case mz_ulong is 64-bits (argh I hate longs).
if ((source_len | *pDest_len) > 0xFFFFFFFFU) return MZ_PARAM_ERROR;
stream.next_in = pSource;
stream.avail_in = (mz_uint32)source_len;
stream.next_out = pDest;
stream.avail_out = (mz_uint32)*pDest_len;
status = mz_inflateInit(&stream);
if (status != MZ_OK) return status;
status = mz_inflate(&stream, MZ_FINISH);
if (status != MZ_STREAM_END) {
mz_inflateEnd(&stream);
return ((status == MZ_BUF_ERROR) && (!stream.avail_in)) ? MZ_DATA_ERROR
: status;
}
*pDest_len = stream.total_out;
return mz_inflateEnd(&stream);
}
const char *mz_error(int err) {
static struct {
int m_err;
const char *m_pDesc;
} s_error_descs[] = {{MZ_OK, ""},
{MZ_STREAM_END, "stream end"},
{MZ_NEED_DICT, "need dictionary"},
{MZ_ERRNO, "file error"},
{MZ_STREAM_ERROR, "stream error"},
{MZ_DATA_ERROR, "data error"},
{MZ_MEM_ERROR, "out of memory"},
{MZ_BUF_ERROR, "buf error"},
{MZ_VERSION_ERROR, "version error"},
{MZ_PARAM_ERROR, "parameter error"}};
mz_uint i;
for (i = 0; i < sizeof(s_error_descs) / sizeof(s_error_descs[0]); ++i)
if (s_error_descs[i].m_err == err) return s_error_descs[i].m_pDesc;
return NULL;
}
#endif // MINIZ_NO_ZLIB_APIS
// ------------------- Low-level Decompression (completely independent from all
// compression API's)
#define TINFL_MEMCPY(d, s, l) memcpy(d, s, l)
#define TINFL_MEMSET(p, c, l) memset(p, c, l)
#define TINFL_CR_BEGIN \
switch (r->m_state) { \
case 0:
#define TINFL_CR_RETURN(state_index, result) \
do { \
status = result; \
r->m_state = state_index; \
goto common_exit; \
case state_index:; \
} \
MZ_MACRO_END
#define TINFL_CR_RETURN_FOREVER(state_index, result) \
do { \
for (;;) { \
TINFL_CR_RETURN(state_index, result); \
} \
} \
MZ_MACRO_END
#define TINFL_CR_FINISH }
// TODO: If the caller has indicated that there's no more input, and we attempt
// to read beyond the input buf, then something is wrong with the input because
// the inflator never
// reads ahead more than it needs to. Currently TINFL_GET_BYTE() pads the end of
// the stream with 0's in this scenario.
#define TINFL_GET_BYTE(state_index, c) \
do { \
if (pIn_buf_cur >= pIn_buf_end) { \
for (;;) { \
if (decomp_flags & TINFL_FLAG_HAS_MORE_INPUT) { \
TINFL_CR_RETURN(state_index, TINFL_STATUS_NEEDS_MORE_INPUT); \
if (pIn_buf_cur < pIn_buf_end) { \
c = *pIn_buf_cur++; \
break; \
} \
} else { \
c = 0; \
break; \
} \
} \
} else \
c = *pIn_buf_cur++; \
} \
MZ_MACRO_END
#define TINFL_NEED_BITS(state_index, n) \
do { \
mz_uint c; \
TINFL_GET_BYTE(state_index, c); \
bit_buf |= (((tinfl_bit_buf_t)c) << num_bits); \
num_bits += 8; \
} while (num_bits < (mz_uint)(n))
#define TINFL_SKIP_BITS(state_index, n) \
do { \
if (num_bits < (mz_uint)(n)) { \
TINFL_NEED_BITS(state_index, n); \
} \
bit_buf >>= (n); \
num_bits -= (n); \
} \
MZ_MACRO_END
#define TINFL_GET_BITS(state_index, b, n) \
do { \
if (num_bits < (mz_uint)(n)) { \
TINFL_NEED_BITS(state_index, n); \
} \
b = bit_buf & ((1 << (n)) - 1); \
bit_buf >>= (n); \
num_bits -= (n); \
} \
MZ_MACRO_END
// TINFL_HUFF_BITBUF_FILL() is only used rarely, when the number of bytes
// remaining in the input buffer falls below 2.
// It reads just enough bytes from the input stream that are needed to decode
// the next Huffman code (and absolutely no more). It works by trying to fully
// decode a
// Huffman code by using whatever bits are currently present in the bit buffer.
// If this fails, it reads another byte, and tries again until it succeeds or
// until the
// bit buffer contains >=15 bits (deflate's max. Huffman code size).
#define TINFL_HUFF_BITBUF_FILL(state_index, pHuff) \
do { \
temp = (pHuff)->m_look_up[bit_buf & (TINFL_FAST_LOOKUP_SIZE - 1)]; \
if (temp >= 0) { \
code_len = temp >> 9; \
if ((code_len) && (num_bits >= code_len)) break; \
} else if (num_bits > TINFL_FAST_LOOKUP_BITS) { \
code_len = TINFL_FAST_LOOKUP_BITS; \
do { \
temp = (pHuff)->m_tree[~temp + ((bit_buf >> code_len++) & 1)]; \
} while ((temp < 0) && (num_bits >= (code_len + 1))); \
if (temp >= 0) break; \
} \
TINFL_GET_BYTE(state_index, c); \
bit_buf |= (((tinfl_bit_buf_t)c) << num_bits); \
num_bits += 8; \
} while (num_bits < 15);
// TINFL_HUFF_DECODE() decodes the next Huffman coded symbol. It's more complex
// than you would initially expect because the zlib API expects the decompressor
// to never read
// beyond the final byte of the deflate stream. (In other words, when this macro
// wants to read another byte from the input, it REALLY needs another byte in
// order to fully
// decode the next Huffman code.) Handling this properly is particularly
// important on raw deflate (non-zlib) streams, which aren't followed by a byte
// aligned adler-32.
// The slow path is only executed at the very end of the input buffer.
#define TINFL_HUFF_DECODE(state_index, sym, pHuff) \
do { \
int temp; \
mz_uint code_len, c; \
if (num_bits < 15) { \
if ((pIn_buf_end - pIn_buf_cur) < 2) { \
TINFL_HUFF_BITBUF_FILL(state_index, pHuff); \
} else { \
bit_buf |= (((tinfl_bit_buf_t)pIn_buf_cur[0]) << num_bits) | \
(((tinfl_bit_buf_t)pIn_buf_cur[1]) << (num_bits + 8)); \
pIn_buf_cur += 2; \
num_bits += 16; \
} \
} \
if ((temp = (pHuff)->m_look_up[bit_buf & (TINFL_FAST_LOOKUP_SIZE - 1)]) >= \
0) \
code_len = temp >> 9, temp &= 511; \
else { \
code_len = TINFL_FAST_LOOKUP_BITS; \
do { \
temp = (pHuff)->m_tree[~temp + ((bit_buf >> code_len++) & 1)]; \
} while (temp < 0); \
} \
sym = temp; \
bit_buf >>= code_len; \
num_bits -= code_len; \
} \
MZ_MACRO_END
tinfl_status tinfl_decompress(tinfl_decompressor *r,
const mz_uint8 *pIn_buf_next,
size_t *pIn_buf_size, mz_uint8 *pOut_buf_start,
mz_uint8 *pOut_buf_next, size_t *pOut_buf_size,
const mz_uint32 decomp_flags) {
static const int s_length_base[31] = {
3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 15, 17, 19, 23, 27, 31,
35, 43, 51, 59, 67, 83, 99, 115, 131, 163, 195, 227, 258, 0, 0};
static const int s_length_extra[31] = {0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1,
1, 2, 2, 2, 2, 3, 3, 3, 3, 4, 4,
4, 4, 5, 5, 5, 5, 0, 0, 0};
static const int s_dist_base[32] = {
1, 2, 3, 4, 5, 7, 9, 13, 17, 25, 33,
49, 65, 97, 129, 193, 257, 385, 513, 769, 1025, 1537,
2049, 3073, 4097, 6145, 8193, 12289, 16385, 24577, 0, 0};
static const int s_dist_extra[32] = {0, 0, 0, 0, 1, 1, 2, 2, 3, 3,
4, 4, 5, 5, 6, 6, 7, 7, 8, 8,
9, 9, 10, 10, 11, 11, 12, 12, 13, 13};
static const mz_uint8 s_length_dezigzag[19] = {
16, 17, 18, 0, 8, 7, 9, 6, 10, 5, 11, 4, 12, 3, 13, 2, 14, 1, 15};
static const int s_min_table_sizes[3] = {257, 1, 4};
tinfl_status status = TINFL_STATUS_FAILED;
mz_uint32 num_bits, dist, counter, num_extra;
tinfl_bit_buf_t bit_buf;
const mz_uint8 *pIn_buf_cur = pIn_buf_next,
*const pIn_buf_end = pIn_buf_next + *pIn_buf_size;
mz_uint8 *pOut_buf_cur = pOut_buf_next,
*const pOut_buf_end = pOut_buf_next + *pOut_buf_size;
size_t out_buf_size_mask =
(decomp_flags & TINFL_FLAG_USING_NON_WRAPPING_OUTPUT_BUF)
? (size_t)-1
: ((pOut_buf_next - pOut_buf_start) + *pOut_buf_size) - 1,
dist_from_out_buf_start;
// Ensure the output buffer's size is a power of 2, unless the output buffer
// is large enough to hold the entire output file (in which case it doesn't
// matter).
if (((out_buf_size_mask + 1) & out_buf_size_mask) ||
(pOut_buf_next < pOut_buf_start)) {
*pIn_buf_size = *pOut_buf_size = 0;
return TINFL_STATUS_BAD_PARAM;
}
num_bits = r->m_num_bits;
bit_buf = r->m_bit_buf;
dist = r->m_dist;
counter = r->m_counter;
num_extra = r->m_num_extra;
dist_from_out_buf_start = r->m_dist_from_out_buf_start;
TINFL_CR_BEGIN
bit_buf = num_bits = dist = counter = num_extra = r->m_zhdr0 = r->m_zhdr1 = 0;
r->m_z_adler32 = r->m_check_adler32 = 1;
if (decomp_flags & TINFL_FLAG_PARSE_ZLIB_HEADER) {
TINFL_GET_BYTE(1, r->m_zhdr0);
TINFL_GET_BYTE(2, r->m_zhdr1);
counter = (((r->m_zhdr0 * 256 + r->m_zhdr1) % 31 != 0) ||
(r->m_zhdr1 & 32) || ((r->m_zhdr0 & 15) != 8));
if (!(decomp_flags & TINFL_FLAG_USING_NON_WRAPPING_OUTPUT_BUF))
counter |= (((1U << (8U + (r->m_zhdr0 >> 4))) > 32768U) ||
((out_buf_size_mask + 1) <
(size_t)(1ULL << (8U + (r->m_zhdr0 >> 4)))));
if (counter) {
TINFL_CR_RETURN_FOREVER(36, TINFL_STATUS_FAILED);
}
}
do {
TINFL_GET_BITS(3, r->m_final, 3);
r->m_type = r->m_final >> 1;
if (r->m_type == 0) {
TINFL_SKIP_BITS(5, num_bits & 7);
for (counter = 0; counter < 4; ++counter) {
if (num_bits)
TINFL_GET_BITS(6, r->m_raw_header[counter], 8);
else
TINFL_GET_BYTE(7, r->m_raw_header[counter]);
}
if ((counter = (r->m_raw_header[0] | (r->m_raw_header[1] << 8))) !=
(mz_uint)(0xFFFF ^
(r->m_raw_header[2] | (r->m_raw_header[3] << 8)))) {
TINFL_CR_RETURN_FOREVER(39, TINFL_STATUS_FAILED);
}
while ((counter) && (num_bits)) {
TINFL_GET_BITS(51, dist, 8);
while (pOut_buf_cur >= pOut_buf_end) {
TINFL_CR_RETURN(52, TINFL_STATUS_HAS_MORE_OUTPUT);
}
*pOut_buf_cur++ = (mz_uint8)dist;
counter--;
}
while (counter) {
size_t n;
while (pOut_buf_cur >= pOut_buf_end) {
TINFL_CR_RETURN(9, TINFL_STATUS_HAS_MORE_OUTPUT);
}
while (pIn_buf_cur >= pIn_buf_end) {
if (decomp_flags & TINFL_FLAG_HAS_MORE_INPUT) {
TINFL_CR_RETURN(38, TINFL_STATUS_NEEDS_MORE_INPUT);
} else {
TINFL_CR_RETURN_FOREVER(40, TINFL_STATUS_FAILED);
}
}
n = MZ_MIN(MZ_MIN((size_t)(pOut_buf_end - pOut_buf_cur),
(size_t)(pIn_buf_end - pIn_buf_cur)),
counter);
TINFL_MEMCPY(pOut_buf_cur, pIn_buf_cur, n);
pIn_buf_cur += n;
pOut_buf_cur += n;
counter -= (mz_uint)n;
}
} else if (r->m_type == 3) {
TINFL_CR_RETURN_FOREVER(10, TINFL_STATUS_FAILED);
} else {
if (r->m_type == 1) {
mz_uint8 *p = r->m_tables[0].m_code_size;
mz_uint i;
r->m_table_sizes[0] = 288;
r->m_table_sizes[1] = 32;
TINFL_MEMSET(r->m_tables[1].m_code_size, 5, 32);
for (i = 0; i <= 143; ++i) *p++ = 8;
for (; i <= 255; ++i) *p++ = 9;
for (; i <= 279; ++i) *p++ = 7;
for (; i <= 287; ++i) *p++ = 8;
} else {
for (counter = 0; counter < 3; counter++) {
TINFL_GET_BITS(11, r->m_table_sizes[counter], "\05\05\04"[counter]);
r->m_table_sizes[counter] += s_min_table_sizes[counter];
}
MZ_CLEAR_OBJ(r->m_tables[2].m_code_size);
for (counter = 0; counter < r->m_table_sizes[2]; counter++) {
mz_uint s;
TINFL_GET_BITS(14, s, 3);
r->m_tables[2].m_code_size[s_length_dezigzag[counter]] = (mz_uint8)s;
}
r->m_table_sizes[2] = 19;
}
for (; (int)r->m_type >= 0; r->m_type--) {
int tree_next, tree_cur;
tinfl_huff_table *pTable;
mz_uint i, j, used_syms, total, sym_index, next_code[17],
total_syms[16];
pTable = &r->m_tables[r->m_type];
MZ_CLEAR_OBJ(total_syms);
MZ_CLEAR_OBJ(pTable->m_look_up);
MZ_CLEAR_OBJ(pTable->m_tree);
for (i = 0; i < r->m_table_sizes[r->m_type]; ++i)
total_syms[pTable->m_code_size[i]]++;
used_syms = 0, total = 0;
next_code[0] = next_code[1] = 0;
for (i = 1; i <= 15; ++i) {
used_syms += total_syms[i];
next_code[i + 1] = (total = ((total + total_syms[i]) << 1));
}
if ((65536 != total) && (used_syms > 1)) {
TINFL_CR_RETURN_FOREVER(35, TINFL_STATUS_FAILED);
}
for (tree_next = -1, sym_index = 0;
sym_index < r->m_table_sizes[r->m_type]; ++sym_index) {
mz_uint rev_code = 0, l, cur_code,
code_size = pTable->m_code_size[sym_index];
if (!code_size) continue;
cur_code = next_code[code_size]++;
for (l = code_size; l > 0; l--, cur_code >>= 1)
rev_code = (rev_code << 1) | (cur_code & 1);
if (code_size <= TINFL_FAST_LOOKUP_BITS) {
mz_int16 k = (mz_int16)((code_size << 9) | sym_index);
while (rev_code < TINFL_FAST_LOOKUP_SIZE) {
pTable->m_look_up[rev_code] = k;
rev_code += (1 << code_size);
}
continue;
}
if (0 ==
(tree_cur = pTable->m_look_up[rev_code &
(TINFL_FAST_LOOKUP_SIZE - 1)])) {
pTable->m_look_up[rev_code & (TINFL_FAST_LOOKUP_SIZE - 1)] =
(mz_int16)tree_next;
tree_cur = tree_next;
tree_next -= 2;
}
rev_code >>= (TINFL_FAST_LOOKUP_BITS - 1);
for (j = code_size; j > (TINFL_FAST_LOOKUP_BITS + 1); j--) {
tree_cur -= ((rev_code >>= 1) & 1);
if (!pTable->m_tree[-tree_cur - 1]) {
pTable->m_tree[-tree_cur - 1] = (mz_int16)tree_next;
tree_cur = tree_next;
tree_next -= 2;
} else
tree_cur = pTable->m_tree[-tree_cur - 1];
}
tree_cur -= ((rev_code >>= 1) & 1);
pTable->m_tree[-tree_cur - 1] = (mz_int16)sym_index;
}
if (r->m_type == 2) {
for (counter = 0;
counter < (r->m_table_sizes[0] + r->m_table_sizes[1]);) {
mz_uint s;
TINFL_HUFF_DECODE(16, dist, &r->m_tables[2]);
if (dist < 16) {
r->m_len_codes[counter++] = (mz_uint8)dist;
continue;
}
if ((dist == 16) && (!counter)) {
TINFL_CR_RETURN_FOREVER(17, TINFL_STATUS_FAILED);
}
num_extra = "\02\03\07"[dist - 16];
TINFL_GET_BITS(18, s, num_extra);
s += "\03\03\013"[dist - 16];
TINFL_MEMSET(r->m_len_codes + counter,
(dist == 16) ? r->m_len_codes[counter - 1] : 0, s);
counter += s;
}
if ((r->m_table_sizes[0] + r->m_table_sizes[1]) != counter) {
TINFL_CR_RETURN_FOREVER(21, TINFL_STATUS_FAILED);
}
TINFL_MEMCPY(r->m_tables[0].m_code_size, r->m_len_codes,
r->m_table_sizes[0]);
TINFL_MEMCPY(r->m_tables[1].m_code_size,
r->m_len_codes + r->m_table_sizes[0],
r->m_table_sizes[1]);
}
}
for (;;) {
mz_uint8 *pSrc;
for (;;) {
if (((pIn_buf_end - pIn_buf_cur) < 4) ||
((pOut_buf_end - pOut_buf_cur) < 2)) {
TINFL_HUFF_DECODE(23, counter, &r->m_tables[0]);
if (counter >= 256) break;
while (pOut_buf_cur >= pOut_buf_end) {
TINFL_CR_RETURN(24, TINFL_STATUS_HAS_MORE_OUTPUT);
}
*pOut_buf_cur++ = (mz_uint8)counter;
} else {
int sym2;
mz_uint code_len;
#if TINFL_USE_64BIT_BITBUF
if (num_bits < 30) {
bit_buf |=
(((tinfl_bit_buf_t)MZ_READ_LE32(pIn_buf_cur)) << num_bits);
pIn_buf_cur += 4;
num_bits += 32;
}
#else
if (num_bits < 15) {
bit_buf |=
(((tinfl_bit_buf_t)MZ_READ_LE16(pIn_buf_cur)) << num_bits);
pIn_buf_cur += 2;
num_bits += 16;
}
#endif
if ((sym2 =
r->m_tables[0]
.m_look_up[bit_buf & (TINFL_FAST_LOOKUP_SIZE - 1)]) >=
0)
code_len = sym2 >> 9;
else {
code_len = TINFL_FAST_LOOKUP_BITS;
do {
sym2 = r->m_tables[0]
.m_tree[~sym2 + ((bit_buf >> code_len++) & 1)];
} while (sym2 < 0);
}
counter = sym2;
bit_buf >>= code_len;
num_bits -= code_len;
if (counter & 256) break;
#if !TINFL_USE_64BIT_BITBUF
if (num_bits < 15) {
bit_buf |=
(((tinfl_bit_buf_t)MZ_READ_LE16(pIn_buf_cur)) << num_bits);
pIn_buf_cur += 2;
num_bits += 16;
}
#endif
if ((sym2 =
r->m_tables[0]
.m_look_up[bit_buf & (TINFL_FAST_LOOKUP_SIZE - 1)]) >=
0)
code_len = sym2 >> 9;
else {
code_len = TINFL_FAST_LOOKUP_BITS;
do {
sym2 = r->m_tables[0]
.m_tree[~sym2 + ((bit_buf >> code_len++) & 1)];
} while (sym2 < 0);
}
bit_buf >>= code_len;
num_bits -= code_len;
pOut_buf_cur[0] = (mz_uint8)counter;
if (sym2 & 256) {
pOut_buf_cur++;
counter = sym2;
break;
}
pOut_buf_cur[1] = (mz_uint8)sym2;
pOut_buf_cur += 2;
}
}
if ((counter &= 511) == 256) break;
num_extra = s_length_extra[counter - 257];
counter = s_length_base[counter - 257];
if (num_extra) {
mz_uint extra_bits;
TINFL_GET_BITS(25, extra_bits, num_extra);
counter += extra_bits;
}
TINFL_HUFF_DECODE(26, dist, &r->m_tables[1]);
num_extra = s_dist_extra[dist];
dist = s_dist_base[dist];
if (num_extra) {
mz_uint extra_bits;
TINFL_GET_BITS(27, extra_bits, num_extra);
dist += extra_bits;
}
dist_from_out_buf_start = pOut_buf_cur - pOut_buf_start;
if ((dist > dist_from_out_buf_start) &&
(decomp_flags & TINFL_FLAG_USING_NON_WRAPPING_OUTPUT_BUF)) {
TINFL_CR_RETURN_FOREVER(37, TINFL_STATUS_FAILED);
}
pSrc = pOut_buf_start +
((dist_from_out_buf_start - dist) & out_buf_size_mask);
if ((MZ_MAX(pOut_buf_cur, pSrc) + counter) > pOut_buf_end) {
while (counter--) {
while (pOut_buf_cur >= pOut_buf_end) {
TINFL_CR_RETURN(53, TINFL_STATUS_HAS_MORE_OUTPUT);
}
*pOut_buf_cur++ =
pOut_buf_start[(dist_from_out_buf_start++ - dist) &
out_buf_size_mask];
}
continue;
}
#if MINIZ_USE_UNALIGNED_LOADS_AND_STORES
else if ((counter >= 9) && (counter <= dist)) {
const mz_uint8 *pSrc_end = pSrc + (counter & ~7);
do {
((mz_uint32 *)pOut_buf_cur)[0] = ((const mz_uint32 *)pSrc)[0];
((mz_uint32 *)pOut_buf_cur)[1] = ((const mz_uint32 *)pSrc)[1];
pOut_buf_cur += 8;
} while ((pSrc += 8) < pSrc_end);
if ((counter &= 7) < 3) {
if (counter) {
pOut_buf_cur[0] = pSrc[0];
if (counter > 1) pOut_buf_cur[1] = pSrc[1];
pOut_buf_cur += counter;
}
continue;
}
}
#endif
do {
pOut_buf_cur[0] = pSrc[0];
pOut_buf_cur[1] = pSrc[1];
pOut_buf_cur[2] = pSrc[2];
pOut_buf_cur += 3;
pSrc += 3;
} while ((int)(counter -= 3) > 2);
if ((int)counter > 0) {
pOut_buf_cur[0] = pSrc[0];
if ((int)counter > 1) pOut_buf_cur[1] = pSrc[1];
pOut_buf_cur += counter;
}
}
}
} while (!(r->m_final & 1));
if (decomp_flags & TINFL_FLAG_PARSE_ZLIB_HEADER) {
TINFL_SKIP_BITS(32, num_bits & 7);
for (counter = 0; counter < 4; ++counter) {
mz_uint s;
if (num_bits)
TINFL_GET_BITS(41, s, 8);
else
TINFL_GET_BYTE(42, s);
r->m_z_adler32 = (r->m_z_adler32 << 8) | s;
}
}
TINFL_CR_RETURN_FOREVER(34, TINFL_STATUS_DONE);
TINFL_CR_FINISH
common_exit:
r->m_num_bits = num_bits;
r->m_bit_buf = bit_buf;
r->m_dist = dist;
r->m_counter = counter;
r->m_num_extra = num_extra;
r->m_dist_from_out_buf_start = dist_from_out_buf_start;
*pIn_buf_size = pIn_buf_cur - pIn_buf_next;
*pOut_buf_size = pOut_buf_cur - pOut_buf_next;
if ((decomp_flags &
(TINFL_FLAG_PARSE_ZLIB_HEADER | TINFL_FLAG_COMPUTE_ADLER32)) &&
(status >= 0)) {
const mz_uint8 *ptr = pOut_buf_next;
size_t buf_len = *pOut_buf_size;
mz_uint32 i, s1 = r->m_check_adler32 & 0xffff,
s2 = r->m_check_adler32 >> 16;
size_t block_len = buf_len % 5552;
while (buf_len) {
for (i = 0; i + 7 < block_len; i += 8, ptr += 8) {
s1 += ptr[0], s2 += s1;
s1 += ptr[1], s2 += s1;
s1 += ptr[2], s2 += s1;
s1 += ptr[3], s2 += s1;
s1 += ptr[4], s2 += s1;
s1 += ptr[5], s2 += s1;
s1 += ptr[6], s2 += s1;
s1 += ptr[7], s2 += s1;
}
for (; i < block_len; ++i) s1 += *ptr++, s2 += s1;
s1 %= 65521U, s2 %= 65521U;
buf_len -= block_len;
block_len = 5552;
}
r->m_check_adler32 = (s2 << 16) + s1;
if ((status == TINFL_STATUS_DONE) &&
(decomp_flags & TINFL_FLAG_PARSE_ZLIB_HEADER) &&
(r->m_check_adler32 != r->m_z_adler32))
status = TINFL_STATUS_ADLER32_MISMATCH;
}
return status;
}
// Higher level helper functions.
void *tinfl_decompress_mem_to_heap(const void *pSrc_buf, size_t src_buf_len,
size_t *pOut_len, int flags) {
tinfl_decompressor decomp;
void *pBuf = NULL, *pNew_buf;
size_t src_buf_ofs = 0, out_buf_capacity = 0;
*pOut_len = 0;
tinfl_init(&decomp);
for (;;) {
size_t src_buf_size = src_buf_len - src_buf_ofs,
dst_buf_size = out_buf_capacity - *pOut_len, new_out_buf_capacity;
tinfl_status status = tinfl_decompress(
&decomp, (const mz_uint8 *)pSrc_buf + src_buf_ofs, &src_buf_size,
(mz_uint8 *)pBuf, pBuf ? (mz_uint8 *)pBuf + *pOut_len : NULL,
&dst_buf_size, (flags & ~TINFL_FLAG_HAS_MORE_INPUT) |
TINFL_FLAG_USING_NON_WRAPPING_OUTPUT_BUF);
if ((status < 0) || (status == TINFL_STATUS_NEEDS_MORE_INPUT)) {
MZ_FREE(pBuf);
*pOut_len = 0;
return NULL;
}
src_buf_ofs += src_buf_size;
*pOut_len += dst_buf_size;
if (status == TINFL_STATUS_DONE) break;
new_out_buf_capacity = out_buf_capacity * 2;
if (new_out_buf_capacity < 128) new_out_buf_capacity = 128;
pNew_buf = MZ_REALLOC(pBuf, new_out_buf_capacity);
if (!pNew_buf) {
MZ_FREE(pBuf);
*pOut_len = 0;
return NULL;
}
pBuf = pNew_buf;
out_buf_capacity = new_out_buf_capacity;
}
return pBuf;
}
size_t tinfl_decompress_mem_to_mem(void *pOut_buf, size_t out_buf_len,
const void *pSrc_buf, size_t src_buf_len,
int flags) {
tinfl_decompressor decomp;
tinfl_status status;
tinfl_init(&decomp);
status =
tinfl_decompress(&decomp, (const mz_uint8 *)pSrc_buf, &src_buf_len,
(mz_uint8 *)pOut_buf, (mz_uint8 *)pOut_buf, &out_buf_len,
(flags & ~TINFL_FLAG_HAS_MORE_INPUT) |
TINFL_FLAG_USING_NON_WRAPPING_OUTPUT_BUF);
return (status != TINFL_STATUS_DONE) ? TINFL_DECOMPRESS_MEM_TO_MEM_FAILED
: out_buf_len;
}
int tinfl_decompress_mem_to_callback(const void *pIn_buf, size_t *pIn_buf_size,
tinfl_put_buf_func_ptr pPut_buf_func,
void *pPut_buf_user, int flags) {
int result = 0;
tinfl_decompressor decomp;
mz_uint8 *pDict = (mz_uint8 *)MZ_MALLOC(TINFL_LZ_DICT_SIZE);
size_t in_buf_ofs = 0, dict_ofs = 0;
if (!pDict) return TINFL_STATUS_FAILED;
tinfl_init(&decomp);
for (;;) {
size_t in_buf_size = *pIn_buf_size - in_buf_ofs,
dst_buf_size = TINFL_LZ_DICT_SIZE - dict_ofs;
tinfl_status status =
tinfl_decompress(&decomp, (const mz_uint8 *)pIn_buf + in_buf_ofs,
&in_buf_size, pDict, pDict + dict_ofs, &dst_buf_size,
(flags &
~(TINFL_FLAG_HAS_MORE_INPUT |
TINFL_FLAG_USING_NON_WRAPPING_OUTPUT_BUF)));
in_buf_ofs += in_buf_size;
if ((dst_buf_size) &&
(!(*pPut_buf_func)(pDict + dict_ofs, (int)dst_buf_size, pPut_buf_user)))
break;
if (status != TINFL_STATUS_HAS_MORE_OUTPUT) {
result = (status == TINFL_STATUS_DONE);
break;
}
dict_ofs = (dict_ofs + dst_buf_size) & (TINFL_LZ_DICT_SIZE - 1);
}
MZ_FREE(pDict);
*pIn_buf_size = in_buf_ofs;
return result;
}
// ------------------- Low-level Compression (independent from all decompression
// API's)
// Purposely making these tables static for faster init and thread safety.
static const mz_uint16 s_tdefl_len_sym[256] = {
257, 258, 259, 260, 261, 262, 263, 264, 265, 265, 266, 266, 267, 267, 268,
268, 269, 269, 269, 269, 270, 270, 270, 270, 271, 271, 271, 271, 272, 272,
272, 272, 273, 273, 273, 273, 273, 273, 273, 273, 274, 274, 274, 274, 274,
274, 274, 274, 275, 275, 275, 275, 275, 275, 275, 275, 276, 276, 276, 276,
276, 276, 276, 276, 277, 277, 277, 277, 277, 277, 277, 277, 277, 277, 277,
277, 277, 277, 277, 277, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278,
278, 278, 278, 278, 278, 278, 279, 279, 279, 279, 279, 279, 279, 279, 279,
279, 279, 279, 279, 279, 279, 279, 280, 280, 280, 280, 280, 280, 280, 280,
280, 280, 280, 280, 280, 280, 280, 280, 281, 281, 281, 281, 281, 281, 281,
281, 281, 281, 281, 281, 281, 281, 281, 281, 281, 281, 281, 281, 281, 281,
281, 281, 281, 281, 281, 281, 281, 281, 281, 281, 282, 282, 282, 282, 282,
282, 282, 282, 282, 282, 282, 282, 282, 282, 282, 282, 282, 282, 282, 282,
282, 282, 282, 282, 282, 282, 282, 282, 282, 282, 282, 282, 283, 283, 283,
283, 283, 283, 283, 283, 283, 283, 283, 283, 283, 283, 283, 283, 283, 283,
283, 283, 283, 283, 283, 283, 283, 283, 283, 283, 283, 283, 283, 283, 284,
284, 284, 284, 284, 284, 284, 284, 284, 284, 284, 284, 284, 284, 284, 284,
284, 284, 284, 284, 284, 284, 284, 284, 284, 284, 284, 284, 284, 284, 284,
285};
static const mz_uint8 s_tdefl_len_extra[256] = {
0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2,
2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,
3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4,
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5,
5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5,
5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5,
5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5,
5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5,
5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 0};
static const mz_uint8 s_tdefl_small_dist_sym[512] = {
0, 1, 2, 3, 4, 4, 5, 5, 6, 6, 6, 6, 7, 7, 7, 7, 8, 8, 8,
8, 8, 8, 8, 8, 9, 9, 9, 9, 9, 9, 9, 9, 10, 10, 10, 10, 10, 10,
10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 11, 11, 11, 11, 11, 11, 11, 11, 11,
11, 11, 11, 11, 11, 11, 11, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12,
12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12,
12, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13,
13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 14, 14, 14, 14, 14,
14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14,
14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14,
14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14,
14, 14, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15,
15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15,
15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15,
15, 15, 15, 15, 15, 15, 15, 15, 15, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16,
16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16,
16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16,
16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16,
16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16,
16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16,
16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16,
16, 16, 16, 16, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17,
17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17,
17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17,
17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17,
17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17,
17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17,
17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17};
static const mz_uint8 s_tdefl_small_dist_extra[512] = {
0, 0, 0, 0, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3,
3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5,
5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5,
5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5,
5, 5, 5, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6,
6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6,
6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6,
6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6,
6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6,
6, 6, 6, 6, 6, 6, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7,
7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7,
7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7,
7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7,
7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7,
7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7,
7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7,
7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7,
7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7,
7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7,
7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7};
static const mz_uint8 s_tdefl_large_dist_sym[128] = {
0, 0, 18, 19, 20, 20, 21, 21, 22, 22, 22, 22, 23, 23, 23, 23, 24, 24, 24,
24, 24, 24, 24, 24, 25, 25, 25, 25, 25, 25, 25, 25, 26, 26, 26, 26, 26, 26,
26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 27, 27, 27, 27, 27, 27, 27, 27, 27,
27, 27, 27, 27, 27, 27, 27, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28,
28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28,
28, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29,
29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29};
static const mz_uint8 s_tdefl_large_dist_extra[128] = {
0, 0, 8, 8, 9, 9, 9, 9, 10, 10, 10, 10, 10, 10, 10, 10, 11, 11, 11,
11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 12, 12, 12, 12, 12, 12,
12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12,
12, 12, 12, 12, 12, 12, 12, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13,
13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13,
13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13,
13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13};
// Radix sorts tdefl_sym_freq[] array by 16-bit key m_key. Returns ptr to sorted
// values.
typedef struct { mz_uint16 m_key, m_sym_index; } tdefl_sym_freq;
static tdefl_sym_freq *tdefl_radix_sort_syms(mz_uint num_syms,
tdefl_sym_freq *pSyms0,
tdefl_sym_freq *pSyms1) {
mz_uint32 total_passes = 2, pass_shift, pass, i, hist[256 * 2];
tdefl_sym_freq *pCur_syms = pSyms0, *pNew_syms = pSyms1;
MZ_CLEAR_OBJ(hist);
for (i = 0; i < num_syms; i++) {
mz_uint freq = pSyms0[i].m_key;
hist[freq & 0xFF]++;
hist[256 + ((freq >> 8) & 0xFF)]++;
}
while ((total_passes > 1) && (num_syms == hist[(total_passes - 1) * 256]))
total_passes--;
for (pass_shift = 0, pass = 0; pass < total_passes; pass++, pass_shift += 8) {
const mz_uint32 *pHist = &hist[pass << 8];
mz_uint offsets[256], cur_ofs = 0;
for (i = 0; i < 256; i++) {
offsets[i] = cur_ofs;
cur_ofs += pHist[i];
}
for (i = 0; i < num_syms; i++)
pNew_syms[offsets[(pCur_syms[i].m_key >> pass_shift) & 0xFF]++] =
pCur_syms[i];
{
tdefl_sym_freq *t = pCur_syms;
pCur_syms = pNew_syms;
pNew_syms = t;
}
}
return pCur_syms;
}
// tdefl_calculate_minimum_redundancy() originally written by: Alistair Moffat,
// alistair@cs.mu.oz.au, Jyrki Katajainen, jyrki@diku.dk, November 1996.
static void tdefl_calculate_minimum_redundancy(tdefl_sym_freq *A, int n) {
int root, leaf, next, avbl, used, dpth;
if (n == 0)
return;
else if (n == 1) {
A[0].m_key = 1;
return;
}
A[0].m_key += A[1].m_key;
root = 0;
leaf = 2;
for (next = 1; next < n - 1; next++) {
if (leaf >= n || A[root].m_key < A[leaf].m_key) {
A[next].m_key = A[root].m_key;
A[root++].m_key = (mz_uint16)next;
} else
A[next].m_key = A[leaf++].m_key;
if (leaf >= n || (root < next && A[root].m_key < A[leaf].m_key)) {
A[next].m_key = (mz_uint16)(A[next].m_key + A[root].m_key);
A[root++].m_key = (mz_uint16)next;
} else
A[next].m_key = (mz_uint16)(A[next].m_key + A[leaf++].m_key);
}
A[n - 2].m_key = 0;
for (next = n - 3; next >= 0; next--)
A[next].m_key = A[A[next].m_key].m_key + 1;
avbl = 1;
used = dpth = 0;
root = n - 2;
next = n - 1;
while (avbl > 0) {
while (root >= 0 && (int)A[root].m_key == dpth) {
used++;
root--;
}
while (avbl > used) {
A[next--].m_key = (mz_uint16)(dpth);
avbl--;
}
avbl = 2 * used;
dpth++;
used = 0;
}
}
// Limits canonical Huffman code table's max code size.
enum { TDEFL_MAX_SUPPORTED_HUFF_CODESIZE = 32 };
static void tdefl_huffman_enforce_max_code_size(int *pNum_codes,
int code_list_len,
int max_code_size) {
int i;
mz_uint32 total = 0;
if (code_list_len <= 1) return;
for (i = max_code_size + 1; i <= TDEFL_MAX_SUPPORTED_HUFF_CODESIZE; i++)
pNum_codes[max_code_size] += pNum_codes[i];
for (i = max_code_size; i > 0; i--)
total += (((mz_uint32)pNum_codes[i]) << (max_code_size - i));
while (total != (1UL << max_code_size)) {
pNum_codes[max_code_size]--;
for (i = max_code_size - 1; i > 0; i--)
if (pNum_codes[i]) {
pNum_codes[i]--;
pNum_codes[i + 1] += 2;
break;
}
total--;
}
}
static void tdefl_optimize_huffman_table(tdefl_compressor *d, int table_num,
int table_len, int code_size_limit,
int static_table) {
int i, j, l, num_codes[1 + TDEFL_MAX_SUPPORTED_HUFF_CODESIZE];
mz_uint next_code[TDEFL_MAX_SUPPORTED_HUFF_CODESIZE + 1];
MZ_CLEAR_OBJ(num_codes);
if (static_table) {
for (i = 0; i < table_len; i++)
num_codes[d->m_huff_code_sizes[table_num][i]]++;
} else {
tdefl_sym_freq syms0[TDEFL_MAX_HUFF_SYMBOLS], syms1[TDEFL_MAX_HUFF_SYMBOLS],
*pSyms;
int num_used_syms = 0;
const mz_uint16 *pSym_count = &d->m_huff_count[table_num][0];
for (i = 0; i < table_len; i++)
if (pSym_count[i]) {
syms0[num_used_syms].m_key = (mz_uint16)pSym_count[i];
syms0[num_used_syms++].m_sym_index = (mz_uint16)i;
}
pSyms = tdefl_radix_sort_syms(num_used_syms, syms0, syms1);
tdefl_calculate_minimum_redundancy(pSyms, num_used_syms);
for (i = 0; i < num_used_syms; i++) num_codes[pSyms[i].m_key]++;
tdefl_huffman_enforce_max_code_size(num_codes, num_used_syms,
code_size_limit);
MZ_CLEAR_OBJ(d->m_huff_code_sizes[table_num]);
MZ_CLEAR_OBJ(d->m_huff_codes[table_num]);
for (i = 1, j = num_used_syms; i <= code_size_limit; i++)
for (l = num_codes[i]; l > 0; l--)
d->m_huff_code_sizes[table_num][pSyms[--j].m_sym_index] = (mz_uint8)(i);
}
next_code[1] = 0;
for (j = 0, i = 2; i <= code_size_limit; i++)
next_code[i] = j = ((j + num_codes[i - 1]) << 1);
for (i = 0; i < table_len; i++) {
mz_uint rev_code = 0, code, code_size;
if ((code_size = d->m_huff_code_sizes[table_num][i]) == 0) continue;
code = next_code[code_size]++;
for (l = code_size; l > 0; l--, code >>= 1)
rev_code = (rev_code << 1) | (code & 1);
d->m_huff_codes[table_num][i] = (mz_uint16)rev_code;
}
}
#define TDEFL_PUT_BITS(b, l) \
do { \
mz_uint bits = b; \
mz_uint len = l; \
MZ_ASSERT(bits <= ((1U << len) - 1U)); \
d->m_bit_buffer |= (bits << d->m_bits_in); \
d->m_bits_in += len; \
while (d->m_bits_in >= 8) { \
if (d->m_pOutput_buf < d->m_pOutput_buf_end) \
*d->m_pOutput_buf++ = (mz_uint8)(d->m_bit_buffer); \
d->m_bit_buffer >>= 8; \
d->m_bits_in -= 8; \
} \
} \
MZ_MACRO_END
#define TDEFL_RLE_PREV_CODE_SIZE() \
{ \
if (rle_repeat_count) { \
if (rle_repeat_count < 3) { \
d->m_huff_count[2][prev_code_size] = (mz_uint16)( \
d->m_huff_count[2][prev_code_size] + rle_repeat_count); \
while (rle_repeat_count--) \
packed_code_sizes[num_packed_code_sizes++] = prev_code_size; \
} else { \
d->m_huff_count[2][16] = (mz_uint16)(d->m_huff_count[2][16] + 1); \
packed_code_sizes[num_packed_code_sizes++] = 16; \
packed_code_sizes[num_packed_code_sizes++] = \
(mz_uint8)(rle_repeat_count - 3); \
} \
rle_repeat_count = 0; \
} \
}
#define TDEFL_RLE_ZERO_CODE_SIZE() \
{ \
if (rle_z_count) { \
if (rle_z_count < 3) { \
d->m_huff_count[2][0] = \
(mz_uint16)(d->m_huff_count[2][0] + rle_z_count); \
while (rle_z_count--) packed_code_sizes[num_packed_code_sizes++] = 0; \
} else if (rle_z_count <= 10) { \
d->m_huff_count[2][17] = (mz_uint16)(d->m_huff_count[2][17] + 1); \
packed_code_sizes[num_packed_code_sizes++] = 17; \
packed_code_sizes[num_packed_code_sizes++] = \
(mz_uint8)(rle_z_count - 3); \
} else { \
d->m_huff_count[2][18] = (mz_uint16)(d->m_huff_count[2][18] + 1); \
packed_code_sizes[num_packed_code_sizes++] = 18; \
packed_code_sizes[num_packed_code_sizes++] = \
(mz_uint8)(rle_z_count - 11); \
} \
rle_z_count = 0; \
} \
}
static mz_uint8 s_tdefl_packed_code_size_syms_swizzle[] = {
16, 17, 18, 0, 8, 7, 9, 6, 10, 5, 11, 4, 12, 3, 13, 2, 14, 1, 15};
static void tdefl_start_dynamic_block(tdefl_compressor *d) {
int num_lit_codes, num_dist_codes, num_bit_lengths;
mz_uint i, total_code_sizes_to_pack, num_packed_code_sizes, rle_z_count,
rle_repeat_count, packed_code_sizes_index;
mz_uint8
code_sizes_to_pack[TDEFL_MAX_HUFF_SYMBOLS_0 + TDEFL_MAX_HUFF_SYMBOLS_1],
packed_code_sizes[TDEFL_MAX_HUFF_SYMBOLS_0 + TDEFL_MAX_HUFF_SYMBOLS_1],
prev_code_size = 0xFF;
d->m_huff_count[0][256] = 1;
tdefl_optimize_huffman_table(d, 0, TDEFL_MAX_HUFF_SYMBOLS_0, 15, MZ_FALSE);
tdefl_optimize_huffman_table(d, 1, TDEFL_MAX_HUFF_SYMBOLS_1, 15, MZ_FALSE);
for (num_lit_codes = 286; num_lit_codes > 257; num_lit_codes--)
if (d->m_huff_code_sizes[0][num_lit_codes - 1]) break;
for (num_dist_codes = 30; num_dist_codes > 1; num_dist_codes--)
if (d->m_huff_code_sizes[1][num_dist_codes - 1]) break;
memcpy(code_sizes_to_pack, &d->m_huff_code_sizes[0][0], num_lit_codes);
memcpy(code_sizes_to_pack + num_lit_codes, &d->m_huff_code_sizes[1][0],
num_dist_codes);
total_code_sizes_to_pack = num_lit_codes + num_dist_codes;
num_packed_code_sizes = 0;
rle_z_count = 0;
rle_repeat_count = 0;
memset(&d->m_huff_count[2][0], 0,
sizeof(d->m_huff_count[2][0]) * TDEFL_MAX_HUFF_SYMBOLS_2);
for (i = 0; i < total_code_sizes_to_pack; i++) {
mz_uint8 code_size = code_sizes_to_pack[i];
if (!code_size) {
TDEFL_RLE_PREV_CODE_SIZE();
if (++rle_z_count == 138) {
TDEFL_RLE_ZERO_CODE_SIZE();
}
} else {
TDEFL_RLE_ZERO_CODE_SIZE();
if (code_size != prev_code_size) {
TDEFL_RLE_PREV_CODE_SIZE();
d->m_huff_count[2][code_size] =
(mz_uint16)(d->m_huff_count[2][code_size] + 1);
packed_code_sizes[num_packed_code_sizes++] = code_size;
} else if (++rle_repeat_count == 6) {
TDEFL_RLE_PREV_CODE_SIZE();
}
}
prev_code_size = code_size;
}
if (rle_repeat_count) {
TDEFL_RLE_PREV_CODE_SIZE();
} else {
TDEFL_RLE_ZERO_CODE_SIZE();
}
tdefl_optimize_huffman_table(d, 2, TDEFL_MAX_HUFF_SYMBOLS_2, 7, MZ_FALSE);
TDEFL_PUT_BITS(2, 2);
TDEFL_PUT_BITS(num_lit_codes - 257, 5);
TDEFL_PUT_BITS(num_dist_codes - 1, 5);
for (num_bit_lengths = 18; num_bit_lengths >= 0; num_bit_lengths--)
if (d->m_huff_code_sizes
[2][s_tdefl_packed_code_size_syms_swizzle[num_bit_lengths]])
break;
num_bit_lengths = MZ_MAX(4, (num_bit_lengths + 1));
TDEFL_PUT_BITS(num_bit_lengths - 4, 4);
for (i = 0; (int)i < num_bit_lengths; i++)
TDEFL_PUT_BITS(
d->m_huff_code_sizes[2][s_tdefl_packed_code_size_syms_swizzle[i]], 3);
for (packed_code_sizes_index = 0;
packed_code_sizes_index < num_packed_code_sizes;) {
mz_uint code = packed_code_sizes[packed_code_sizes_index++];
MZ_ASSERT(code < TDEFL_MAX_HUFF_SYMBOLS_2);
TDEFL_PUT_BITS(d->m_huff_codes[2][code], d->m_huff_code_sizes[2][code]);
if (code >= 16)
TDEFL_PUT_BITS(packed_code_sizes[packed_code_sizes_index++],
"\02\03\07"[code - 16]);
}
}
static void tdefl_start_static_block(tdefl_compressor *d) {
mz_uint i;
mz_uint8 *p = &d->m_huff_code_sizes[0][0];
for (i = 0; i <= 143; ++i) *p++ = 8;
for (; i <= 255; ++i) *p++ = 9;
for (; i <= 279; ++i) *p++ = 7;
for (; i <= 287; ++i) *p++ = 8;
memset(d->m_huff_code_sizes[1], 5, 32);
tdefl_optimize_huffman_table(d, 0, 288, 15, MZ_TRUE);
tdefl_optimize_huffman_table(d, 1, 32, 15, MZ_TRUE);
TDEFL_PUT_BITS(1, 2);
}
static const mz_uint mz_bitmasks[17] = {
0x0000, 0x0001, 0x0003, 0x0007, 0x000F, 0x001F, 0x003F, 0x007F, 0x00FF,
0x01FF, 0x03FF, 0x07FF, 0x0FFF, 0x1FFF, 0x3FFF, 0x7FFF, 0xFFFF};
#if MINIZ_USE_UNALIGNED_LOADS_AND_STORES && MINIZ_LITTLE_ENDIAN && \
MINIZ_HAS_64BIT_REGISTERS
static mz_bool tdefl_compress_lz_codes(tdefl_compressor *d) {
mz_uint flags;
mz_uint8 *pLZ_codes;
mz_uint8 *pOutput_buf = d->m_pOutput_buf;
mz_uint8 *pLZ_code_buf_end = d->m_pLZ_code_buf;
mz_uint64 bit_buffer = d->m_bit_buffer;
mz_uint bits_in = d->m_bits_in;
#define TDEFL_PUT_BITS_FAST(b, l) \
{ \
bit_buffer |= (((mz_uint64)(b)) << bits_in); \
bits_in += (l); \
}
flags = 1;
for (pLZ_codes = d->m_lz_code_buf; pLZ_codes < pLZ_code_buf_end;
flags >>= 1) {
if (flags == 1) flags = *pLZ_codes++ | 0x100;
if (flags & 1) {
mz_uint s0, s1, n0, n1, sym, num_extra_bits;
mz_uint match_len = pLZ_codes[0],
match_dist = *(const mz_uint16 *)(pLZ_codes + 1);
pLZ_codes += 3;
MZ_ASSERT(d->m_huff_code_sizes[0][s_tdefl_len_sym[match_len]]);
TDEFL_PUT_BITS_FAST(d->m_huff_codes[0][s_tdefl_len_sym[match_len]],
d->m_huff_code_sizes[0][s_tdefl_len_sym[match_len]]);
TDEFL_PUT_BITS_FAST(match_len & mz_bitmasks[s_tdefl_len_extra[match_len]],
s_tdefl_len_extra[match_len]);
// This sequence coaxes MSVC into using cmov's vs. jmp's.
s0 = s_tdefl_small_dist_sym[match_dist & 511];
n0 = s_tdefl_small_dist_extra[match_dist & 511];
s1 = s_tdefl_large_dist_sym[match_dist >> 8];
n1 = s_tdefl_large_dist_extra[match_dist >> 8];
sym = (match_dist < 512) ? s0 : s1;
num_extra_bits = (match_dist < 512) ? n0 : n1;
MZ_ASSERT(d->m_huff_code_sizes[1][sym]);
TDEFL_PUT_BITS_FAST(d->m_huff_codes[1][sym],
d->m_huff_code_sizes[1][sym]);
TDEFL_PUT_BITS_FAST(match_dist & mz_bitmasks[num_extra_bits],
num_extra_bits);
} else {
mz_uint lit = *pLZ_codes++;
MZ_ASSERT(d->m_huff_code_sizes[0][lit]);
TDEFL_PUT_BITS_FAST(d->m_huff_codes[0][lit],
d->m_huff_code_sizes[0][lit]);
if (((flags & 2) == 0) && (pLZ_codes < pLZ_code_buf_end)) {
flags >>= 1;
lit = *pLZ_codes++;
MZ_ASSERT(d->m_huff_code_sizes[0][lit]);
TDEFL_PUT_BITS_FAST(d->m_huff_codes[0][lit],
d->m_huff_code_sizes[0][lit]);
if (((flags & 2) == 0) && (pLZ_codes < pLZ_code_buf_end)) {
flags >>= 1;
lit = *pLZ_codes++;
MZ_ASSERT(d->m_huff_code_sizes[0][lit]);
TDEFL_PUT_BITS_FAST(d->m_huff_codes[0][lit],
d->m_huff_code_sizes[0][lit]);
}
}
}
if (pOutput_buf >= d->m_pOutput_buf_end) return MZ_FALSE;
*(mz_uint64 *)pOutput_buf = bit_buffer;
pOutput_buf += (bits_in >> 3);
bit_buffer >>= (bits_in & ~7);
bits_in &= 7;
}
#undef TDEFL_PUT_BITS_FAST
d->m_pOutput_buf = pOutput_buf;
d->m_bits_in = 0;
d->m_bit_buffer = 0;
while (bits_in) {
mz_uint32 n = MZ_MIN(bits_in, 16);
TDEFL_PUT_BITS((mz_uint)bit_buffer & mz_bitmasks[n], n);
bit_buffer >>= n;
bits_in -= n;
}
TDEFL_PUT_BITS(d->m_huff_codes[0][256], d->m_huff_code_sizes[0][256]);
return (d->m_pOutput_buf < d->m_pOutput_buf_end);
}
#else
static mz_bool tdefl_compress_lz_codes(tdefl_compressor *d) {
mz_uint flags;
mz_uint8 *pLZ_codes;
flags = 1;
for (pLZ_codes = d->m_lz_code_buf; pLZ_codes < d->m_pLZ_code_buf;
flags >>= 1) {
if (flags == 1) flags = *pLZ_codes++ | 0x100;
if (flags & 1) {
mz_uint sym, num_extra_bits;
mz_uint match_len = pLZ_codes[0],
match_dist = (pLZ_codes[1] | (pLZ_codes[2] << 8));
pLZ_codes += 3;
MZ_ASSERT(d->m_huff_code_sizes[0][s_tdefl_len_sym[match_len]]);
TDEFL_PUT_BITS(d->m_huff_codes[0][s_tdefl_len_sym[match_len]],
d->m_huff_code_sizes[0][s_tdefl_len_sym[match_len]]);
TDEFL_PUT_BITS(match_len & mz_bitmasks[s_tdefl_len_extra[match_len]],
s_tdefl_len_extra[match_len]);
if (match_dist < 512) {
sym = s_tdefl_small_dist_sym[match_dist];
num_extra_bits = s_tdefl_small_dist_extra[match_dist];
} else {
sym = s_tdefl_large_dist_sym[match_dist >> 8];
num_extra_bits = s_tdefl_large_dist_extra[match_dist >> 8];
}
MZ_ASSERT(d->m_huff_code_sizes[1][sym]);
TDEFL_PUT_BITS(d->m_huff_codes[1][sym], d->m_huff_code_sizes[1][sym]);
TDEFL_PUT_BITS(match_dist & mz_bitmasks[num_extra_bits], num_extra_bits);
} else {
mz_uint lit = *pLZ_codes++;
MZ_ASSERT(d->m_huff_code_sizes[0][lit]);
TDEFL_PUT_BITS(d->m_huff_codes[0][lit], d->m_huff_code_sizes[0][lit]);
}
}
TDEFL_PUT_BITS(d->m_huff_codes[0][256], d->m_huff_code_sizes[0][256]);
return (d->m_pOutput_buf < d->m_pOutput_buf_end);
}
#endif // MINIZ_USE_UNALIGNED_LOADS_AND_STORES && MINIZ_LITTLE_ENDIAN &&
// MINIZ_HAS_64BIT_REGISTERS
static mz_bool tdefl_compress_block(tdefl_compressor *d, mz_bool static_block) {
if (static_block)
tdefl_start_static_block(d);
else
tdefl_start_dynamic_block(d);
return tdefl_compress_lz_codes(d);
}
static int tdefl_flush_block(tdefl_compressor *d, int flush) {
mz_uint saved_bit_buf, saved_bits_in;
mz_uint8 *pSaved_output_buf;
mz_bool comp_block_succeeded = MZ_FALSE;
int n, use_raw_block =
((d->m_flags & TDEFL_FORCE_ALL_RAW_BLOCKS) != 0) &&
(d->m_lookahead_pos - d->m_lz_code_buf_dict_pos) <= d->m_dict_size;
mz_uint8 *pOutput_buf_start =
((d->m_pPut_buf_func == NULL) &&
((*d->m_pOut_buf_size - d->m_out_buf_ofs) >= TDEFL_OUT_BUF_SIZE))
? ((mz_uint8 *)d->m_pOut_buf + d->m_out_buf_ofs)
: d->m_output_buf;
d->m_pOutput_buf = pOutput_buf_start;
d->m_pOutput_buf_end = d->m_pOutput_buf + TDEFL_OUT_BUF_SIZE - 16;
MZ_ASSERT(!d->m_output_flush_remaining);
d->m_output_flush_ofs = 0;
d->m_output_flush_remaining = 0;
*d->m_pLZ_flags = (mz_uint8)(*d->m_pLZ_flags >> d->m_num_flags_left);
d->m_pLZ_code_buf -= (d->m_num_flags_left == 8);
if ((d->m_flags & TDEFL_WRITE_ZLIB_HEADER) && (!d->m_block_index)) {
TDEFL_PUT_BITS(0x78, 8);
TDEFL_PUT_BITS(0x01, 8);
}
TDEFL_PUT_BITS(flush == TDEFL_FINISH, 1);
pSaved_output_buf = d->m_pOutput_buf;
saved_bit_buf = d->m_bit_buffer;
saved_bits_in = d->m_bits_in;
if (!use_raw_block)
comp_block_succeeded =
tdefl_compress_block(d, (d->m_flags & TDEFL_FORCE_ALL_STATIC_BLOCKS) ||
(d->m_total_lz_bytes < 48));
// If the block gets expanded, forget the current contents of the output
// buffer and send a raw block instead.
if (((use_raw_block) ||
((d->m_total_lz_bytes) && ((d->m_pOutput_buf - pSaved_output_buf + 1U) >=
d->m_total_lz_bytes))) &&
((d->m_lookahead_pos - d->m_lz_code_buf_dict_pos) <= d->m_dict_size)) {
mz_uint i;
d->m_pOutput_buf = pSaved_output_buf;
d->m_bit_buffer = saved_bit_buf, d->m_bits_in = saved_bits_in;
TDEFL_PUT_BITS(0, 2);
if (d->m_bits_in) {
TDEFL_PUT_BITS(0, 8 - d->m_bits_in);
}
for (i = 2; i; --i, d->m_total_lz_bytes ^= 0xFFFF) {
TDEFL_PUT_BITS(d->m_total_lz_bytes & 0xFFFF, 16);
}
for (i = 0; i < d->m_total_lz_bytes; ++i) {
TDEFL_PUT_BITS(
d->m_dict[(d->m_lz_code_buf_dict_pos + i) & TDEFL_LZ_DICT_SIZE_MASK],
8);
}
}
// Check for the extremely unlikely (if not impossible) case of the compressed
// block not fitting into the output buffer when using dynamic codes.
else if (!comp_block_succeeded) {
d->m_pOutput_buf = pSaved_output_buf;
d->m_bit_buffer = saved_bit_buf, d->m_bits_in = saved_bits_in;
tdefl_compress_block(d, MZ_TRUE);
}
if (flush) {
if (flush == TDEFL_FINISH) {
if (d->m_bits_in) {
TDEFL_PUT_BITS(0, 8 - d->m_bits_in);
}
if (d->m_flags & TDEFL_WRITE_ZLIB_HEADER) {
mz_uint i, a = d->m_adler32;
for (i = 0; i < 4; i++) {
TDEFL_PUT_BITS((a >> 24) & 0xFF, 8);
a <<= 8;
}
}
} else {
mz_uint i, z = 0;
TDEFL_PUT_BITS(0, 3);
if (d->m_bits_in) {
TDEFL_PUT_BITS(0, 8 - d->m_bits_in);
}
for (i = 2; i; --i, z ^= 0xFFFF) {
TDEFL_PUT_BITS(z & 0xFFFF, 16);
}
}
}
MZ_ASSERT(d->m_pOutput_buf < d->m_pOutput_buf_end);
memset(&d->m_huff_count[0][0], 0,
sizeof(d->m_huff_count[0][0]) * TDEFL_MAX_HUFF_SYMBOLS_0);
memset(&d->m_huff_count[1][0], 0,
sizeof(d->m_huff_count[1][0]) * TDEFL_MAX_HUFF_SYMBOLS_1);
d->m_pLZ_code_buf = d->m_lz_code_buf + 1;
d->m_pLZ_flags = d->m_lz_code_buf;
d->m_num_flags_left = 8;
d->m_lz_code_buf_dict_pos += d->m_total_lz_bytes;
d->m_total_lz_bytes = 0;
d->m_block_index++;
if ((n = (int)(d->m_pOutput_buf - pOutput_buf_start)) != 0) {
if (d->m_pPut_buf_func) {
*d->m_pIn_buf_size = d->m_pSrc - (const mz_uint8 *)d->m_pIn_buf;
if (!(*d->m_pPut_buf_func)(d->m_output_buf, n, d->m_pPut_buf_user))
return (d->m_prev_return_status = TDEFL_STATUS_PUT_BUF_FAILED);
} else if (pOutput_buf_start == d->m_output_buf) {
int bytes_to_copy = (int)MZ_MIN(
(size_t)n, (size_t)(*d->m_pOut_buf_size - d->m_out_buf_ofs));
memcpy((mz_uint8 *)d->m_pOut_buf + d->m_out_buf_ofs, d->m_output_buf,
bytes_to_copy);
d->m_out_buf_ofs += bytes_to_copy;
if ((n -= bytes_to_copy) != 0) {
d->m_output_flush_ofs = bytes_to_copy;
d->m_output_flush_remaining = n;
}
} else {
d->m_out_buf_ofs += n;
}
}
return d->m_output_flush_remaining;
}
#if MINIZ_USE_UNALIGNED_LOADS_AND_STORES
#define TDEFL_READ_UNALIGNED_WORD(p) *(const mz_uint16 *)(p)
static MZ_FORCEINLINE void tdefl_find_match(
tdefl_compressor *d, mz_uint lookahead_pos, mz_uint max_dist,
mz_uint max_match_len, mz_uint *pMatch_dist, mz_uint *pMatch_len) {
mz_uint dist, pos = lookahead_pos & TDEFL_LZ_DICT_SIZE_MASK,
match_len = *pMatch_len, probe_pos = pos, next_probe_pos,
probe_len;
mz_uint num_probes_left = d->m_max_probes[match_len >= 32];
const mz_uint16 *s = (const mz_uint16 *)(d->m_dict + pos), *p, *q;
mz_uint16 c01 = TDEFL_READ_UNALIGNED_WORD(&d->m_dict[pos + match_len - 1]),
s01 = TDEFL_READ_UNALIGNED_WORD(s);
MZ_ASSERT(max_match_len <= TDEFL_MAX_MATCH_LEN);
if (max_match_len <= match_len) return;
for (;;) {
for (;;) {
if (--num_probes_left == 0) return;
#define TDEFL_PROBE \
next_probe_pos = d->m_next[probe_pos]; \
if ((!next_probe_pos) || \
((dist = (mz_uint16)(lookahead_pos - next_probe_pos)) > max_dist)) \
return; \
probe_pos = next_probe_pos & TDEFL_LZ_DICT_SIZE_MASK; \
if (TDEFL_READ_UNALIGNED_WORD(&d->m_dict[probe_pos + match_len - 1]) == c01) \
break;
TDEFL_PROBE;
TDEFL_PROBE;
TDEFL_PROBE;
}
if (!dist) break;
q = (const mz_uint16 *)(d->m_dict + probe_pos);
if (TDEFL_READ_UNALIGNED_WORD(q) != s01) continue;
p = s;
probe_len = 32;
do {
} while (
(TDEFL_READ_UNALIGNED_WORD(++p) == TDEFL_READ_UNALIGNED_WORD(++q)) &&
(TDEFL_READ_UNALIGNED_WORD(++p) == TDEFL_READ_UNALIGNED_WORD(++q)) &&
(TDEFL_READ_UNALIGNED_WORD(++p) == TDEFL_READ_UNALIGNED_WORD(++q)) &&
(TDEFL_READ_UNALIGNED_WORD(++p) == TDEFL_READ_UNALIGNED_WORD(++q)) &&
(--probe_len > 0));
if (!probe_len) {
*pMatch_dist = dist;
*pMatch_len = MZ_MIN(max_match_len, TDEFL_MAX_MATCH_LEN);
break;
} else if ((probe_len = ((mz_uint)(p - s) * 2) +
(mz_uint)(*(const mz_uint8 *)p ==
*(const mz_uint8 *)q)) > match_len) {
*pMatch_dist = dist;
if ((*pMatch_len = match_len = MZ_MIN(max_match_len, probe_len)) ==
max_match_len)
break;
c01 = TDEFL_READ_UNALIGNED_WORD(&d->m_dict[pos + match_len - 1]);
}
}
}
#else
static MZ_FORCEINLINE void tdefl_find_match(
tdefl_compressor *d, mz_uint lookahead_pos, mz_uint max_dist,
mz_uint max_match_len, mz_uint *pMatch_dist, mz_uint *pMatch_len) {
mz_uint dist, pos = lookahead_pos & TDEFL_LZ_DICT_SIZE_MASK,
match_len = *pMatch_len, probe_pos = pos, next_probe_pos,
probe_len;
mz_uint num_probes_left = d->m_max_probes[match_len >= 32];
const mz_uint8 *s = d->m_dict + pos, *p, *q;
mz_uint8 c0 = d->m_dict[pos + match_len], c1 = d->m_dict[pos + match_len - 1];
MZ_ASSERT(max_match_len <= TDEFL_MAX_MATCH_LEN);
if (max_match_len <= match_len) return;
for (;;) {
for (;;) {
if (--num_probes_left == 0) return;
#define TDEFL_PROBE \
next_probe_pos = d->m_next[probe_pos]; \
if ((!next_probe_pos) || \
((dist = (mz_uint16)(lookahead_pos - next_probe_pos)) > max_dist)) \
return; \
probe_pos = next_probe_pos & TDEFL_LZ_DICT_SIZE_MASK; \
if ((d->m_dict[probe_pos + match_len] == c0) && \
(d->m_dict[probe_pos + match_len - 1] == c1)) \
break;
TDEFL_PROBE;
TDEFL_PROBE;
TDEFL_PROBE;
}
if (!dist) break;
p = s;
q = d->m_dict + probe_pos;
for (probe_len = 0; probe_len < max_match_len; probe_len++)
if (*p++ != *q++) break;
if (probe_len > match_len) {
*pMatch_dist = dist;
if ((*pMatch_len = match_len = probe_len) == max_match_len) return;
c0 = d->m_dict[pos + match_len];
c1 = d->m_dict[pos + match_len - 1];
}
}
}
#endif // #if MINIZ_USE_UNALIGNED_LOADS_AND_STORES
#if MINIZ_USE_UNALIGNED_LOADS_AND_STORES && MINIZ_LITTLE_ENDIAN
static mz_bool tdefl_compress_fast(tdefl_compressor *d) {
// Faster, minimally featured LZRW1-style match+parse loop with better
// register utilization. Intended for applications where raw throughput is
// valued more highly than ratio.
mz_uint lookahead_pos = d->m_lookahead_pos,
lookahead_size = d->m_lookahead_size, dict_size = d->m_dict_size,
total_lz_bytes = d->m_total_lz_bytes,
num_flags_left = d->m_num_flags_left;
mz_uint8 *pLZ_code_buf = d->m_pLZ_code_buf, *pLZ_flags = d->m_pLZ_flags;
mz_uint cur_pos = lookahead_pos & TDEFL_LZ_DICT_SIZE_MASK;
while ((d->m_src_buf_left) || ((d->m_flush) && (lookahead_size))) {
const mz_uint TDEFL_COMP_FAST_LOOKAHEAD_SIZE = 4096;
mz_uint dst_pos =
(lookahead_pos + lookahead_size) & TDEFL_LZ_DICT_SIZE_MASK;
mz_uint num_bytes_to_process = (mz_uint)MZ_MIN(
d->m_src_buf_left, TDEFL_COMP_FAST_LOOKAHEAD_SIZE - lookahead_size);
d->m_src_buf_left -= num_bytes_to_process;
lookahead_size += num_bytes_to_process;
while (num_bytes_to_process) {
mz_uint32 n = MZ_MIN(TDEFL_LZ_DICT_SIZE - dst_pos, num_bytes_to_process);
memcpy(d->m_dict + dst_pos, d->m_pSrc, n);
if (dst_pos < (TDEFL_MAX_MATCH_LEN - 1))
memcpy(d->m_dict + TDEFL_LZ_DICT_SIZE + dst_pos, d->m_pSrc,
MZ_MIN(n, (TDEFL_MAX_MATCH_LEN - 1) - dst_pos));
d->m_pSrc += n;
dst_pos = (dst_pos + n) & TDEFL_LZ_DICT_SIZE_MASK;
num_bytes_to_process -= n;
}
dict_size = MZ_MIN(TDEFL_LZ_DICT_SIZE - lookahead_size, dict_size);
if ((!d->m_flush) && (lookahead_size < TDEFL_COMP_FAST_LOOKAHEAD_SIZE))
break;
while (lookahead_size >= 4) {
mz_uint cur_match_dist, cur_match_len = 1;
mz_uint8 *pCur_dict = d->m_dict + cur_pos;
mz_uint first_trigram = (*(const mz_uint32 *)pCur_dict) & 0xFFFFFF;
mz_uint hash =
(first_trigram ^ (first_trigram >> (24 - (TDEFL_LZ_HASH_BITS - 8)))) &
TDEFL_LEVEL1_HASH_SIZE_MASK;
mz_uint probe_pos = d->m_hash[hash];
d->m_hash[hash] = (mz_uint16)lookahead_pos;
if (((cur_match_dist = (mz_uint16)(lookahead_pos - probe_pos)) <=
dict_size) &&
((*(const mz_uint32 *)(d->m_dict +
(probe_pos &= TDEFL_LZ_DICT_SIZE_MASK)) &
0xFFFFFF) == first_trigram)) {
const mz_uint16 *p = (const mz_uint16 *)pCur_dict;
const mz_uint16 *q = (const mz_uint16 *)(d->m_dict + probe_pos);
mz_uint32 probe_len = 32;
do {
} while ((TDEFL_READ_UNALIGNED_WORD(++p) ==
TDEFL_READ_UNALIGNED_WORD(++q)) &&
(TDEFL_READ_UNALIGNED_WORD(++p) ==
TDEFL_READ_UNALIGNED_WORD(++q)) &&
(TDEFL_READ_UNALIGNED_WORD(++p) ==
TDEFL_READ_UNALIGNED_WORD(++q)) &&
(TDEFL_READ_UNALIGNED_WORD(++p) ==
TDEFL_READ_UNALIGNED_WORD(++q)) &&
(--probe_len > 0));
cur_match_len = ((mz_uint)(p - (const mz_uint16 *)pCur_dict) * 2) +
(mz_uint)(*(const mz_uint8 *)p == *(const mz_uint8 *)q);
if (!probe_len)
cur_match_len = cur_match_dist ? TDEFL_MAX_MATCH_LEN : 0;
if ((cur_match_len < TDEFL_MIN_MATCH_LEN) ||
((cur_match_len == TDEFL_MIN_MATCH_LEN) &&
(cur_match_dist >= 8U * 1024U))) {
cur_match_len = 1;
*pLZ_code_buf++ = (mz_uint8)first_trigram;
*pLZ_flags = (mz_uint8)(*pLZ_flags >> 1);
d->m_huff_count[0][(mz_uint8)first_trigram]++;
} else {
mz_uint32 s0, s1;
cur_match_len = MZ_MIN(cur_match_len, lookahead_size);
MZ_ASSERT((cur_match_len >= TDEFL_MIN_MATCH_LEN) &&
(cur_match_dist >= 1) &&
(cur_match_dist <= TDEFL_LZ_DICT_SIZE));
cur_match_dist--;
pLZ_code_buf[0] = (mz_uint8)(cur_match_len - TDEFL_MIN_MATCH_LEN);
*(mz_uint16 *)(&pLZ_code_buf[1]) = (mz_uint16)cur_match_dist;
pLZ_code_buf += 3;
*pLZ_flags = (mz_uint8)((*pLZ_flags >> 1) | 0x80);
s0 = s_tdefl_small_dist_sym[cur_match_dist & 511];
s1 = s_tdefl_large_dist_sym[cur_match_dist >> 8];
d->m_huff_count[1][(cur_match_dist < 512) ? s0 : s1]++;
d->m_huff_count[0][s_tdefl_len_sym[cur_match_len -
TDEFL_MIN_MATCH_LEN]]++;
}
} else {
*pLZ_code_buf++ = (mz_uint8)first_trigram;
*pLZ_flags = (mz_uint8)(*pLZ_flags >> 1);
d->m_huff_count[0][(mz_uint8)first_trigram]++;
}
if (--num_flags_left == 0) {
num_flags_left = 8;
pLZ_flags = pLZ_code_buf++;
}
total_lz_bytes += cur_match_len;
lookahead_pos += cur_match_len;
dict_size = MZ_MIN(dict_size + cur_match_len, TDEFL_LZ_DICT_SIZE);
cur_pos = (cur_pos + cur_match_len) & TDEFL_LZ_DICT_SIZE_MASK;
MZ_ASSERT(lookahead_size >= cur_match_len);
lookahead_size -= cur_match_len;
if (pLZ_code_buf > &d->m_lz_code_buf[TDEFL_LZ_CODE_BUF_SIZE - 8]) {
int n;
d->m_lookahead_pos = lookahead_pos;
d->m_lookahead_size = lookahead_size;
d->m_dict_size = dict_size;
d->m_total_lz_bytes = total_lz_bytes;
d->m_pLZ_code_buf = pLZ_code_buf;
d->m_pLZ_flags = pLZ_flags;
d->m_num_flags_left = num_flags_left;
if ((n = tdefl_flush_block(d, 0)) != 0)
return (n < 0) ? MZ_FALSE : MZ_TRUE;
total_lz_bytes = d->m_total_lz_bytes;
pLZ_code_buf = d->m_pLZ_code_buf;
pLZ_flags = d->m_pLZ_flags;
num_flags_left = d->m_num_flags_left;
}
}
while (lookahead_size) {
mz_uint8 lit = d->m_dict[cur_pos];
total_lz_bytes++;
*pLZ_code_buf++ = lit;
*pLZ_flags = (mz_uint8)(*pLZ_flags >> 1);
if (--num_flags_left == 0) {
num_flags_left = 8;
pLZ_flags = pLZ_code_buf++;
}
d->m_huff_count[0][lit]++;
lookahead_pos++;
dict_size = MZ_MIN(dict_size + 1, TDEFL_LZ_DICT_SIZE);
cur_pos = (cur_pos + 1) & TDEFL_LZ_DICT_SIZE_MASK;
lookahead_size--;
if (pLZ_code_buf > &d->m_lz_code_buf[TDEFL_LZ_CODE_BUF_SIZE - 8]) {
int n;
d->m_lookahead_pos = lookahead_pos;
d->m_lookahead_size = lookahead_size;
d->m_dict_size = dict_size;
d->m_total_lz_bytes = total_lz_bytes;
d->m_pLZ_code_buf = pLZ_code_buf;
d->m_pLZ_flags = pLZ_flags;
d->m_num_flags_left = num_flags_left;
if ((n = tdefl_flush_block(d, 0)) != 0)
return (n < 0) ? MZ_FALSE : MZ_TRUE;
total_lz_bytes = d->m_total_lz_bytes;
pLZ_code_buf = d->m_pLZ_code_buf;
pLZ_flags = d->m_pLZ_flags;
num_flags_left = d->m_num_flags_left;
}
}
}
d->m_lookahead_pos = lookahead_pos;
d->m_lookahead_size = lookahead_size;
d->m_dict_size = dict_size;
d->m_total_lz_bytes = total_lz_bytes;
d->m_pLZ_code_buf = pLZ_code_buf;
d->m_pLZ_flags = pLZ_flags;
d->m_num_flags_left = num_flags_left;
return MZ_TRUE;
}
#endif // MINIZ_USE_UNALIGNED_LOADS_AND_STORES && MINIZ_LITTLE_ENDIAN
static MZ_FORCEINLINE void tdefl_record_literal(tdefl_compressor *d,
mz_uint8 lit) {
d->m_total_lz_bytes++;
*d->m_pLZ_code_buf++ = lit;
*d->m_pLZ_flags = (mz_uint8)(*d->m_pLZ_flags >> 1);
if (--d->m_num_flags_left == 0) {
d->m_num_flags_left = 8;
d->m_pLZ_flags = d->m_pLZ_code_buf++;
}
d->m_huff_count[0][lit]++;
}
static MZ_FORCEINLINE void tdefl_record_match(tdefl_compressor *d,
mz_uint match_len,
mz_uint match_dist) {
mz_uint32 s0, s1;
MZ_ASSERT((match_len >= TDEFL_MIN_MATCH_LEN) && (match_dist >= 1) &&
(match_dist <= TDEFL_LZ_DICT_SIZE));
d->m_total_lz_bytes += match_len;
d->m_pLZ_code_buf[0] = (mz_uint8)(match_len - TDEFL_MIN_MATCH_LEN);
match_dist -= 1;
d->m_pLZ_code_buf[1] = (mz_uint8)(match_dist & 0xFF);
d->m_pLZ_code_buf[2] = (mz_uint8)(match_dist >> 8);
d->m_pLZ_code_buf += 3;
*d->m_pLZ_flags = (mz_uint8)((*d->m_pLZ_flags >> 1) | 0x80);
if (--d->m_num_flags_left == 0) {
d->m_num_flags_left = 8;
d->m_pLZ_flags = d->m_pLZ_code_buf++;
}
s0 = s_tdefl_small_dist_sym[match_dist & 511];
s1 = s_tdefl_large_dist_sym[(match_dist >> 8) & 127];
d->m_huff_count[1][(match_dist < 512) ? s0 : s1]++;
if (match_len >= TDEFL_MIN_MATCH_LEN)
d->m_huff_count[0][s_tdefl_len_sym[match_len - TDEFL_MIN_MATCH_LEN]]++;
}
static mz_bool tdefl_compress_normal(tdefl_compressor *d) {
const mz_uint8 *pSrc = d->m_pSrc;
size_t src_buf_left = d->m_src_buf_left;
tdefl_flush flush = d->m_flush;
while ((src_buf_left) || ((flush) && (d->m_lookahead_size))) {
mz_uint len_to_move, cur_match_dist, cur_match_len, cur_pos;
// Update dictionary and hash chains. Keeps the lookahead size equal to
// TDEFL_MAX_MATCH_LEN.
if ((d->m_lookahead_size + d->m_dict_size) >= (TDEFL_MIN_MATCH_LEN - 1)) {
mz_uint dst_pos = (d->m_lookahead_pos + d->m_lookahead_size) &
TDEFL_LZ_DICT_SIZE_MASK,
ins_pos = d->m_lookahead_pos + d->m_lookahead_size - 2;
mz_uint hash = (d->m_dict[ins_pos & TDEFL_LZ_DICT_SIZE_MASK]
<< TDEFL_LZ_HASH_SHIFT) ^
d->m_dict[(ins_pos + 1) & TDEFL_LZ_DICT_SIZE_MASK];
mz_uint num_bytes_to_process = (mz_uint)MZ_MIN(
src_buf_left, TDEFL_MAX_MATCH_LEN - d->m_lookahead_size);
const mz_uint8 *pSrc_end = pSrc + num_bytes_to_process;
src_buf_left -= num_bytes_to_process;
d->m_lookahead_size += num_bytes_to_process;
while (pSrc != pSrc_end) {
mz_uint8 c = *pSrc++;
d->m_dict[dst_pos] = c;
if (dst_pos < (TDEFL_MAX_MATCH_LEN - 1))
d->m_dict[TDEFL_LZ_DICT_SIZE + dst_pos] = c;
hash = ((hash << TDEFL_LZ_HASH_SHIFT) ^ c) & (TDEFL_LZ_HASH_SIZE - 1);
d->m_next[ins_pos & TDEFL_LZ_DICT_SIZE_MASK] = d->m_hash[hash];
d->m_hash[hash] = (mz_uint16)(ins_pos);
dst_pos = (dst_pos + 1) & TDEFL_LZ_DICT_SIZE_MASK;
ins_pos++;
}
} else {
while ((src_buf_left) && (d->m_lookahead_size < TDEFL_MAX_MATCH_LEN)) {
mz_uint8 c = *pSrc++;
mz_uint dst_pos = (d->m_lookahead_pos + d->m_lookahead_size) &
TDEFL_LZ_DICT_SIZE_MASK;
src_buf_left--;
d->m_dict[dst_pos] = c;
if (dst_pos < (TDEFL_MAX_MATCH_LEN - 1))
d->m_dict[TDEFL_LZ_DICT_SIZE + dst_pos] = c;
if ((++d->m_lookahead_size + d->m_dict_size) >= TDEFL_MIN_MATCH_LEN) {
mz_uint ins_pos = d->m_lookahead_pos + (d->m_lookahead_size - 1) - 2;
mz_uint hash = ((d->m_dict[ins_pos & TDEFL_LZ_DICT_SIZE_MASK]
<< (TDEFL_LZ_HASH_SHIFT * 2)) ^
(d->m_dict[(ins_pos + 1) & TDEFL_LZ_DICT_SIZE_MASK]
<< TDEFL_LZ_HASH_SHIFT) ^
c) &
(TDEFL_LZ_HASH_SIZE - 1);
d->m_next[ins_pos & TDEFL_LZ_DICT_SIZE_MASK] = d->m_hash[hash];
d->m_hash[hash] = (mz_uint16)(ins_pos);
}
}
}
d->m_dict_size =
MZ_MIN(TDEFL_LZ_DICT_SIZE - d->m_lookahead_size, d->m_dict_size);
if ((!flush) && (d->m_lookahead_size < TDEFL_MAX_MATCH_LEN)) break;
// Simple lazy/greedy parsing state machine.
len_to_move = 1;
cur_match_dist = 0;
cur_match_len =
d->m_saved_match_len ? d->m_saved_match_len : (TDEFL_MIN_MATCH_LEN - 1);
cur_pos = d->m_lookahead_pos & TDEFL_LZ_DICT_SIZE_MASK;
if (d->m_flags & (TDEFL_RLE_MATCHES | TDEFL_FORCE_ALL_RAW_BLOCKS)) {
if ((d->m_dict_size) && (!(d->m_flags & TDEFL_FORCE_ALL_RAW_BLOCKS))) {
mz_uint8 c = d->m_dict[(cur_pos - 1) & TDEFL_LZ_DICT_SIZE_MASK];
cur_match_len = 0;
while (cur_match_len < d->m_lookahead_size) {
if (d->m_dict[cur_pos + cur_match_len] != c) break;
cur_match_len++;
}
if (cur_match_len < TDEFL_MIN_MATCH_LEN)
cur_match_len = 0;
else
cur_match_dist = 1;
}
} else {
tdefl_find_match(d, d->m_lookahead_pos, d->m_dict_size,
d->m_lookahead_size, &cur_match_dist, &cur_match_len);
}
if (((cur_match_len == TDEFL_MIN_MATCH_LEN) &&
(cur_match_dist >= 8U * 1024U)) ||
(cur_pos == cur_match_dist) ||
((d->m_flags & TDEFL_FILTER_MATCHES) && (cur_match_len <= 5))) {
cur_match_dist = cur_match_len = 0;
}
if (d->m_saved_match_len) {
if (cur_match_len > d->m_saved_match_len) {
tdefl_record_literal(d, (mz_uint8)d->m_saved_lit);
if (cur_match_len >= 128) {
tdefl_record_match(d, cur_match_len, cur_match_dist);
d->m_saved_match_len = 0;
len_to_move = cur_match_len;
} else {
d->m_saved_lit = d->m_dict[cur_pos];
d->m_saved_match_dist = cur_match_dist;
d->m_saved_match_len = cur_match_len;
}
} else {
tdefl_record_match(d, d->m_saved_match_len, d->m_saved_match_dist);
len_to_move = d->m_saved_match_len - 1;
d->m_saved_match_len = 0;
}
} else if (!cur_match_dist)
tdefl_record_literal(d,
d->m_dict[MZ_MIN(cur_pos, sizeof(d->m_dict) - 1)]);
else if ((d->m_greedy_parsing) || (d->m_flags & TDEFL_RLE_MATCHES) ||
(cur_match_len >= 128)) {
tdefl_record_match(d, cur_match_len, cur_match_dist);
len_to_move = cur_match_len;
} else {
d->m_saved_lit = d->m_dict[MZ_MIN(cur_pos, sizeof(d->m_dict) - 1)];
d->m_saved_match_dist = cur_match_dist;
d->m_saved_match_len = cur_match_len;
}
// Move the lookahead forward by len_to_move bytes.
d->m_lookahead_pos += len_to_move;
MZ_ASSERT(d->m_lookahead_size >= len_to_move);
d->m_lookahead_size -= len_to_move;
d->m_dict_size =
MZ_MIN(d->m_dict_size + len_to_move, (mz_uint)TDEFL_LZ_DICT_SIZE);
// Check if it's time to flush the current LZ codes to the internal output
// buffer.
if ((d->m_pLZ_code_buf > &d->m_lz_code_buf[TDEFL_LZ_CODE_BUF_SIZE - 8]) ||
((d->m_total_lz_bytes > 31 * 1024) &&
(((((mz_uint)(d->m_pLZ_code_buf - d->m_lz_code_buf) * 115) >> 7) >=
d->m_total_lz_bytes) ||
(d->m_flags & TDEFL_FORCE_ALL_RAW_BLOCKS)))) {
int n;
d->m_pSrc = pSrc;
d->m_src_buf_left = src_buf_left;
if ((n = tdefl_flush_block(d, 0)) != 0)
return (n < 0) ? MZ_FALSE : MZ_TRUE;
}
}
d->m_pSrc = pSrc;
d->m_src_buf_left = src_buf_left;
return MZ_TRUE;
}
static tdefl_status tdefl_flush_output_buffer(tdefl_compressor *d) {
if (d->m_pIn_buf_size) {
*d->m_pIn_buf_size = d->m_pSrc - (const mz_uint8 *)d->m_pIn_buf;
}
if (d->m_pOut_buf_size) {
size_t n = MZ_MIN(*d->m_pOut_buf_size - d->m_out_buf_ofs,
d->m_output_flush_remaining);
memcpy((mz_uint8 *)d->m_pOut_buf + d->m_out_buf_ofs,
d->m_output_buf + d->m_output_flush_ofs, n);
d->m_output_flush_ofs += (mz_uint)n;
d->m_output_flush_remaining -= (mz_uint)n;
d->m_out_buf_ofs += n;
*d->m_pOut_buf_size = d->m_out_buf_ofs;
}
return (d->m_finished && !d->m_output_flush_remaining) ? TDEFL_STATUS_DONE
: TDEFL_STATUS_OKAY;
}
tdefl_status tdefl_compress(tdefl_compressor *d, const void *pIn_buf,
size_t *pIn_buf_size, void *pOut_buf,
size_t *pOut_buf_size, tdefl_flush flush) {
if (!d) {
if (pIn_buf_size) *pIn_buf_size = 0;
if (pOut_buf_size) *pOut_buf_size = 0;
return TDEFL_STATUS_BAD_PARAM;
}
d->m_pIn_buf = pIn_buf;
d->m_pIn_buf_size = pIn_buf_size;
d->m_pOut_buf = pOut_buf;
d->m_pOut_buf_size = pOut_buf_size;
d->m_pSrc = (const mz_uint8 *)(pIn_buf);
d->m_src_buf_left = pIn_buf_size ? *pIn_buf_size : 0;
d->m_out_buf_ofs = 0;
d->m_flush = flush;
if (((d->m_pPut_buf_func != NULL) ==
((pOut_buf != NULL) || (pOut_buf_size != NULL))) ||
(d->m_prev_return_status != TDEFL_STATUS_OKAY) ||
(d->m_wants_to_finish && (flush != TDEFL_FINISH)) ||
(pIn_buf_size && *pIn_buf_size && !pIn_buf) ||
(pOut_buf_size && *pOut_buf_size && !pOut_buf)) {
if (pIn_buf_size) *pIn_buf_size = 0;
if (pOut_buf_size) *pOut_buf_size = 0;
return (d->m_prev_return_status = TDEFL_STATUS_BAD_PARAM);
}
d->m_wants_to_finish |= (flush == TDEFL_FINISH);
if ((d->m_output_flush_remaining) || (d->m_finished))
return (d->m_prev_return_status = tdefl_flush_output_buffer(d));
#if MINIZ_USE_UNALIGNED_LOADS_AND_STORES && MINIZ_LITTLE_ENDIAN
if (((d->m_flags & TDEFL_MAX_PROBES_MASK) == 1) &&
((d->m_flags & TDEFL_GREEDY_PARSING_FLAG) != 0) &&
((d->m_flags & (TDEFL_FILTER_MATCHES | TDEFL_FORCE_ALL_RAW_BLOCKS |
TDEFL_RLE_MATCHES)) == 0)) {
if (!tdefl_compress_fast(d)) return d->m_prev_return_status;
} else
#endif // #if MINIZ_USE_UNALIGNED_LOADS_AND_STORES && MINIZ_LITTLE_ENDIAN
{
if (!tdefl_compress_normal(d)) return d->m_prev_return_status;
}
if ((d->m_flags & (TDEFL_WRITE_ZLIB_HEADER | TDEFL_COMPUTE_ADLER32)) &&
(pIn_buf))
d->m_adler32 =
(mz_uint32)mz_adler32(d->m_adler32, (const mz_uint8 *)pIn_buf,
d->m_pSrc - (const mz_uint8 *)pIn_buf);
if ((flush) && (!d->m_lookahead_size) && (!d->m_src_buf_left) &&
(!d->m_output_flush_remaining)) {
if (tdefl_flush_block(d, flush) < 0) return d->m_prev_return_status;
d->m_finished = (flush == TDEFL_FINISH);
if (flush == TDEFL_FULL_FLUSH) {
MZ_CLEAR_OBJ(d->m_hash);
MZ_CLEAR_OBJ(d->m_next);
d->m_dict_size = 0;
}
}
return (d->m_prev_return_status = tdefl_flush_output_buffer(d));
}
tdefl_status tdefl_compress_buffer(tdefl_compressor *d, const void *pIn_buf,
size_t in_buf_size, tdefl_flush flush) {
MZ_ASSERT(d->m_pPut_buf_func);
return tdefl_compress(d, pIn_buf, &in_buf_size, NULL, NULL, flush);
}
tdefl_status tdefl_init(tdefl_compressor *d,
tdefl_put_buf_func_ptr pPut_buf_func,
void *pPut_buf_user, int flags) {
d->m_pPut_buf_func = pPut_buf_func;
d->m_pPut_buf_user = pPut_buf_user;
d->m_flags = (mz_uint)(flags);
d->m_max_probes[0] = 1 + ((flags & 0xFFF) + 2) / 3;
d->m_greedy_parsing = (flags & TDEFL_GREEDY_PARSING_FLAG) != 0;
d->m_max_probes[1] = 1 + (((flags & 0xFFF) >> 2) + 2) / 3;
if (!(flags & TDEFL_NONDETERMINISTIC_PARSING_FLAG)) MZ_CLEAR_OBJ(d->m_hash);
d->m_lookahead_pos = d->m_lookahead_size = d->m_dict_size =
d->m_total_lz_bytes = d->m_lz_code_buf_dict_pos = d->m_bits_in = 0;
d->m_output_flush_ofs = d->m_output_flush_remaining = d->m_finished =
d->m_block_index = d->m_bit_buffer = d->m_wants_to_finish = 0;
d->m_pLZ_code_buf = d->m_lz_code_buf + 1;
d->m_pLZ_flags = d->m_lz_code_buf;
d->m_num_flags_left = 8;
d->m_pOutput_buf = d->m_output_buf;
d->m_pOutput_buf_end = d->m_output_buf;
d->m_prev_return_status = TDEFL_STATUS_OKAY;
d->m_saved_match_dist = d->m_saved_match_len = d->m_saved_lit = 0;
d->m_adler32 = 1;
d->m_pIn_buf = NULL;
d->m_pOut_buf = NULL;
d->m_pIn_buf_size = NULL;
d->m_pOut_buf_size = NULL;
d->m_flush = TDEFL_NO_FLUSH;
d->m_pSrc = NULL;
d->m_src_buf_left = 0;
d->m_out_buf_ofs = 0;
memset(&d->m_huff_count[0][0], 0,
sizeof(d->m_huff_count[0][0]) * TDEFL_MAX_HUFF_SYMBOLS_0);
memset(&d->m_huff_count[1][0], 0,
sizeof(d->m_huff_count[1][0]) * TDEFL_MAX_HUFF_SYMBOLS_1);
return TDEFL_STATUS_OKAY;
}
tdefl_status tdefl_get_prev_return_status(tdefl_compressor *d) {
return d->m_prev_return_status;
}
mz_uint32 tdefl_get_adler32(tdefl_compressor *d) { return d->m_adler32; }
mz_bool tdefl_compress_mem_to_output(const void *pBuf, size_t buf_len,
tdefl_put_buf_func_ptr pPut_buf_func,
void *pPut_buf_user, int flags) {
tdefl_compressor *pComp;
mz_bool succeeded;
if (((buf_len) && (!pBuf)) || (!pPut_buf_func)) return MZ_FALSE;
pComp = (tdefl_compressor *)MZ_MALLOC(sizeof(tdefl_compressor));
if (!pComp) return MZ_FALSE;
succeeded = (tdefl_init(pComp, pPut_buf_func, pPut_buf_user, flags) ==
TDEFL_STATUS_OKAY);
succeeded =
succeeded && (tdefl_compress_buffer(pComp, pBuf, buf_len, TDEFL_FINISH) ==
TDEFL_STATUS_DONE);
MZ_FREE(pComp);
return succeeded;
}
typedef struct {
size_t m_size, m_capacity;
mz_uint8 *m_pBuf;
mz_bool m_expandable;
} tdefl_output_buffer;
static mz_bool tdefl_output_buffer_putter(const void *pBuf, int len,
void *pUser) {
tdefl_output_buffer *p = (tdefl_output_buffer *)pUser;
size_t new_size = p->m_size + len;
if (new_size > p->m_capacity) {
size_t new_capacity = p->m_capacity;
mz_uint8 *pNew_buf;
if (!p->m_expandable) return MZ_FALSE;
do {
new_capacity = MZ_MAX(128U, new_capacity << 1U);
} while (new_size > new_capacity);
pNew_buf = (mz_uint8 *)MZ_REALLOC(p->m_pBuf, new_capacity);
if (!pNew_buf) return MZ_FALSE;
p->m_pBuf = pNew_buf;
p->m_capacity = new_capacity;
}
memcpy((mz_uint8 *)p->m_pBuf + p->m_size, pBuf, len);
p->m_size = new_size;
return MZ_TRUE;
}
void *tdefl_compress_mem_to_heap(const void *pSrc_buf, size_t src_buf_len,
size_t *pOut_len, int flags) {
tdefl_output_buffer out_buf;
MZ_CLEAR_OBJ(out_buf);
if (!pOut_len)
return MZ_FALSE;
else
*pOut_len = 0;
out_buf.m_expandable = MZ_TRUE;
if (!tdefl_compress_mem_to_output(
pSrc_buf, src_buf_len, tdefl_output_buffer_putter, &out_buf, flags))
return NULL;
*pOut_len = out_buf.m_size;
return out_buf.m_pBuf;
}
size_t tdefl_compress_mem_to_mem(void *pOut_buf, size_t out_buf_len,
const void *pSrc_buf, size_t src_buf_len,
int flags) {
tdefl_output_buffer out_buf;
MZ_CLEAR_OBJ(out_buf);
if (!pOut_buf) return 0;
out_buf.m_pBuf = (mz_uint8 *)pOut_buf;
out_buf.m_capacity = out_buf_len;
if (!tdefl_compress_mem_to_output(
pSrc_buf, src_buf_len, tdefl_output_buffer_putter, &out_buf, flags))
return 0;
return out_buf.m_size;
}
#ifndef MINIZ_NO_ZLIB_APIS
static const mz_uint s_tdefl_num_probes[11] = {0, 1, 6, 32, 16, 32,
128, 256, 512, 768, 1500};
// level may actually range from [0,10] (10 is a "hidden" max level, where we
// want a bit more compression and it's fine if throughput to fall off a cliff
// on some files).
mz_uint tdefl_create_comp_flags_from_zip_params(int level, int window_bits,
int strategy) {
mz_uint comp_flags =
s_tdefl_num_probes[(level >= 0) ? MZ_MIN(10, level) : MZ_DEFAULT_LEVEL] |
((level <= 3) ? TDEFL_GREEDY_PARSING_FLAG : 0);
if (window_bits > 0) comp_flags |= TDEFL_WRITE_ZLIB_HEADER;
if (!level)
comp_flags |= TDEFL_FORCE_ALL_RAW_BLOCKS;
else if (strategy == MZ_FILTERED)
comp_flags |= TDEFL_FILTER_MATCHES;
else if (strategy == MZ_HUFFMAN_ONLY)
comp_flags &= ~TDEFL_MAX_PROBES_MASK;
else if (strategy == MZ_FIXED)
comp_flags |= TDEFL_FORCE_ALL_STATIC_BLOCKS;
else if (strategy == MZ_RLE)
comp_flags |= TDEFL_RLE_MATCHES;
return comp_flags;
}
#endif // MINIZ_NO_ZLIB_APIS
#ifdef _MSC_VER
#pragma warning(push)
#pragma warning(disable : 4204) // nonstandard extension used : non-constant
// aggregate initializer (also supported by GNU
// C and C99, so no big deal)
#pragma warning(disable : 4244) // 'initializing': conversion from '__int64' to
// 'int', possible loss of data
#pragma warning( \
disable : 4267) // 'argument': conversion from '__int64' to 'int',
// possible loss of data
#pragma warning(disable : 4996) // 'strdup': The POSIX name for this item is
// deprecated. Instead, use the ISO C and C++
// conformant name: _strdup.
#endif
// Simple PNG writer function by Alex Evans, 2011. Released into the public
// domain: https://gist.github.com/908299, more context at
// http://altdevblogaday.org/2011/04/06/a-smaller-jpg-encoder/.
// This is actually a modification of Alex's original code so PNG files
// generated by this function pass pngcheck.
void *tdefl_write_image_to_png_file_in_memory_ex(const void *pImage, int w,
int h, int num_chans,
size_t *pLen_out,
mz_uint level, mz_bool flip) {
// Using a local copy of this array here in case MINIZ_NO_ZLIB_APIS was
// defined.
static const mz_uint s_tdefl_png_num_probes[11] = {
0, 1, 6, 32, 16, 32, 128, 256, 512, 768, 1500};
tdefl_compressor *pComp =
(tdefl_compressor *)MZ_MALLOC(sizeof(tdefl_compressor));
tdefl_output_buffer out_buf;
int i, bpl = w * num_chans, y, z;
mz_uint32 c;
*pLen_out = 0;
if (!pComp) return NULL;
MZ_CLEAR_OBJ(out_buf);
out_buf.m_expandable = MZ_TRUE;
out_buf.m_capacity = 57 + MZ_MAX(64, (1 + bpl) * h);
if (NULL == (out_buf.m_pBuf = (mz_uint8 *)MZ_MALLOC(out_buf.m_capacity))) {
MZ_FREE(pComp);
return NULL;
}
// write dummy header
for (z = 41; z; --z) tdefl_output_buffer_putter(&z, 1, &out_buf);
// compress image data
tdefl_init(
pComp, tdefl_output_buffer_putter, &out_buf,
s_tdefl_png_num_probes[MZ_MIN(10, level)] | TDEFL_WRITE_ZLIB_HEADER);
for (y = 0; y < h; ++y) {
tdefl_compress_buffer(pComp, &z, 1, TDEFL_NO_FLUSH);
tdefl_compress_buffer(pComp,
(mz_uint8 *)pImage + (flip ? (h - 1 - y) : y) * bpl,
bpl, TDEFL_NO_FLUSH);
}
if (tdefl_compress_buffer(pComp, NULL, 0, TDEFL_FINISH) !=
TDEFL_STATUS_DONE) {
MZ_FREE(pComp);
MZ_FREE(out_buf.m_pBuf);
return NULL;
}
// write real header
*pLen_out = out_buf.m_size - 41;
{
static const mz_uint8 chans[] = {0x00, 0x00, 0x04, 0x02, 0x06};
mz_uint8 pnghdr[41] = {0x89,
0x50,
0x4e,
0x47,
0x0d,
0x0a,
0x1a,
0x0a,
0x00,
0x00,
0x00,
0x0d,
0x49,
0x48,
0x44,
0x52,
0,
0,
(mz_uint8)(w >> 8),
(mz_uint8)w,
0,
0,
(mz_uint8)(h >> 8),
(mz_uint8)h,
8,
chans[num_chans],
0,
0,
0,
0,
0,
0,
0,
(mz_uint8)(*pLen_out >> 24),
(mz_uint8)(*pLen_out >> 16),
(mz_uint8)(*pLen_out >> 8),
(mz_uint8)*pLen_out,
0x49,
0x44,
0x41,
0x54};
c = (mz_uint32)mz_crc32(MZ_CRC32_INIT, pnghdr + 12, 17);
for (i = 0; i < 4; ++i, c <<= 8)
((mz_uint8 *)(pnghdr + 29))[i] = (mz_uint8)(c >> 24);
memcpy(out_buf.m_pBuf, pnghdr, 41);
}
// write footer (IDAT CRC-32, followed by IEND chunk)
if (!tdefl_output_buffer_putter(
"\0\0\0\0\0\0\0\0\x49\x45\x4e\x44\xae\x42\x60\x82", 16, &out_buf)) {
*pLen_out = 0;
MZ_FREE(pComp);
MZ_FREE(out_buf.m_pBuf);
return NULL;
}
c = (mz_uint32)mz_crc32(MZ_CRC32_INIT, out_buf.m_pBuf + 41 - 4,
*pLen_out + 4);
for (i = 0; i < 4; ++i, c <<= 8)
(out_buf.m_pBuf + out_buf.m_size - 16)[i] = (mz_uint8)(c >> 24);
// compute final size of file, grab compressed data buffer and return
*pLen_out += 57;
MZ_FREE(pComp);
return out_buf.m_pBuf;
}
void *tdefl_write_image_to_png_file_in_memory(const void *pImage, int w, int h,
int num_chans, size_t *pLen_out) {
// Level 6 corresponds to TDEFL_DEFAULT_MAX_PROBES or MZ_DEFAULT_LEVEL (but we
// can't depend on MZ_DEFAULT_LEVEL being available in case the zlib API's
// where #defined out)
return tdefl_write_image_to_png_file_in_memory_ex(pImage, w, h, num_chans,
pLen_out, 6, MZ_FALSE);
}
// ------------------- .ZIP archive reading
#ifndef MINIZ_NO_ARCHIVE_APIS
#ifdef MINIZ_NO_STDIO
#define MZ_FILE void *
#else
#include <stdio.h>
#include <sys/stat.h>
#if defined(_MSC_VER) || defined(__MINGW64__)
static FILE *mz_fopen(const char *pFilename, const char *pMode) {
FILE *pFile = NULL;
fopen_s(&pFile, pFilename, pMode);
return pFile;
}
static FILE *mz_freopen(const char *pPath, const char *pMode, FILE *pStream) {
FILE *pFile = NULL;
if (freopen_s(&pFile, pPath, pMode, pStream)) return NULL;
return pFile;
}
#ifndef MINIZ_NO_TIME
#include <sys/utime.h>
#endif
#define MZ_FILE FILE
#define MZ_FOPEN mz_fopen
#define MZ_FCLOSE fclose
#define MZ_FREAD fread
#define MZ_FWRITE fwrite
#define MZ_FTELL64 _ftelli64
#define MZ_FSEEK64 _fseeki64
#define MZ_FILE_STAT_STRUCT _stat
#define MZ_FILE_STAT _stat
#define MZ_FFLUSH fflush
#define MZ_FREOPEN mz_freopen
#define MZ_DELETE_FILE remove
#elif defined(__MINGW32__)
#ifndef MINIZ_NO_TIME
#include <sys/utime.h>
#endif
#define MZ_FILE FILE
#define MZ_FOPEN(f, m) fopen(f, m)
#define MZ_FCLOSE fclose
#define MZ_FREAD fread
#define MZ_FWRITE fwrite
#define MZ_FTELL64 ftello64
#define MZ_FSEEK64 fseeko64
#define MZ_FILE_STAT_STRUCT _stat
#define MZ_FILE_STAT _stat
#define MZ_FFLUSH fflush
#define MZ_FREOPEN(f, m, s) freopen(f, m, s)
#define MZ_DELETE_FILE remove
#elif defined(__TINYC__)
#ifndef MINIZ_NO_TIME
#include <sys/utime.h>
#endif
#define MZ_FILE FILE
#define MZ_FOPEN(f, m) fopen(f, m)
#define MZ_FCLOSE fclose
#define MZ_FREAD fread
#define MZ_FWRITE fwrite
#define MZ_FTELL64 ftell
#define MZ_FSEEK64 fseek
#define MZ_FILE_STAT_STRUCT stat
#define MZ_FILE_STAT stat
#define MZ_FFLUSH fflush
#define MZ_FREOPEN(f, m, s) freopen(f, m, s)
#define MZ_DELETE_FILE remove
#elif defined(__GNUC__) && defined(_LARGEFILE64_SOURCE) && _LARGEFILE64_SOURCE
#ifndef MINIZ_NO_TIME
#include <utime.h>
#endif
#define MZ_FILE FILE
#define MZ_FOPEN(f, m) fopen64(f, m)
#define MZ_FCLOSE fclose
#define MZ_FREAD fread
#define MZ_FWRITE fwrite
#define MZ_FTELL64 ftello64
#define MZ_FSEEK64 fseeko64
#define MZ_FILE_STAT_STRUCT stat64
#define MZ_FILE_STAT stat64
#define MZ_FFLUSH fflush
#define MZ_FREOPEN(p, m, s) freopen64(p, m, s)
#define MZ_DELETE_FILE remove
#else
#ifndef MINIZ_NO_TIME
#include <utime.h>
#endif
#define MZ_FILE FILE
#define MZ_FOPEN(f, m) fopen(f, m)
#define MZ_FCLOSE fclose
#define MZ_FREAD fread
#define MZ_FWRITE fwrite
#define MZ_FTELL64 ftello
#define MZ_FSEEK64 fseeko
#define MZ_FILE_STAT_STRUCT stat
#define MZ_FILE_STAT stat
#define MZ_FFLUSH fflush
#define MZ_FREOPEN(f, m, s) freopen(f, m, s)
#define MZ_DELETE_FILE remove
#endif // #ifdef _MSC_VER
#endif // #ifdef MINIZ_NO_STDIO
#define MZ_TOLOWER(c) ((((c) >= 'A') && ((c) <= 'Z')) ? ((c) - 'A' + 'a') : (c))
// Various ZIP archive enums. To completely avoid cross platform compiler
// alignment and platform endian issues, miniz.c doesn't use structs for any of
// this stuff.
enum {
// ZIP archive identifiers and record sizes
MZ_ZIP_END_OF_CENTRAL_DIR_HEADER_SIG = 0x06054b50,
MZ_ZIP_CENTRAL_DIR_HEADER_SIG = 0x02014b50,
MZ_ZIP_LOCAL_DIR_HEADER_SIG = 0x04034b50,
MZ_ZIP_LOCAL_DIR_HEADER_SIZE = 30,
MZ_ZIP_CENTRAL_DIR_HEADER_SIZE = 46,
MZ_ZIP_END_OF_CENTRAL_DIR_HEADER_SIZE = 22,
// Central directory header record offsets
MZ_ZIP_CDH_SIG_OFS = 0,
MZ_ZIP_CDH_VERSION_MADE_BY_OFS = 4,
MZ_ZIP_CDH_VERSION_NEEDED_OFS = 6,
MZ_ZIP_CDH_BIT_FLAG_OFS = 8,
MZ_ZIP_CDH_METHOD_OFS = 10,
MZ_ZIP_CDH_FILE_TIME_OFS = 12,
MZ_ZIP_CDH_FILE_DATE_OFS = 14,
MZ_ZIP_CDH_CRC32_OFS = 16,
MZ_ZIP_CDH_COMPRESSED_SIZE_OFS = 20,
MZ_ZIP_CDH_DECOMPRESSED_SIZE_OFS = 24,
MZ_ZIP_CDH_FILENAME_LEN_OFS = 28,
MZ_ZIP_CDH_EXTRA_LEN_OFS = 30,
MZ_ZIP_CDH_COMMENT_LEN_OFS = 32,
MZ_ZIP_CDH_DISK_START_OFS = 34,
MZ_ZIP_CDH_INTERNAL_ATTR_OFS = 36,
MZ_ZIP_CDH_EXTERNAL_ATTR_OFS = 38,
MZ_ZIP_CDH_LOCAL_HEADER_OFS = 42,
// Local directory header offsets
MZ_ZIP_LDH_SIG_OFS = 0,
MZ_ZIP_LDH_VERSION_NEEDED_OFS = 4,
MZ_ZIP_LDH_BIT_FLAG_OFS = 6,
MZ_ZIP_LDH_METHOD_OFS = 8,
MZ_ZIP_LDH_FILE_TIME_OFS = 10,
MZ_ZIP_LDH_FILE_DATE_OFS = 12,
MZ_ZIP_LDH_CRC32_OFS = 14,
MZ_ZIP_LDH_COMPRESSED_SIZE_OFS = 18,
MZ_ZIP_LDH_DECOMPRESSED_SIZE_OFS = 22,
MZ_ZIP_LDH_FILENAME_LEN_OFS = 26,
MZ_ZIP_LDH_EXTRA_LEN_OFS = 28,
// End of central directory offsets
MZ_ZIP_ECDH_SIG_OFS = 0,
MZ_ZIP_ECDH_NUM_THIS_DISK_OFS = 4,
MZ_ZIP_ECDH_NUM_DISK_CDIR_OFS = 6,
MZ_ZIP_ECDH_CDIR_NUM_ENTRIES_ON_DISK_OFS = 8,
MZ_ZIP_ECDH_CDIR_TOTAL_ENTRIES_OFS = 10,
MZ_ZIP_ECDH_CDIR_SIZE_OFS = 12,
MZ_ZIP_ECDH_CDIR_OFS_OFS = 16,
MZ_ZIP_ECDH_COMMENT_SIZE_OFS = 20,
};
typedef struct {
void *m_p;
size_t m_size, m_capacity;
mz_uint m_element_size;
} mz_zip_array;
struct mz_zip_internal_state_tag {
mz_zip_array m_central_dir;
mz_zip_array m_central_dir_offsets;
mz_zip_array m_sorted_central_dir_offsets;
MZ_FILE *m_pFile;
void *m_pMem;
size_t m_mem_size;
size_t m_mem_capacity;
};
#define MZ_ZIP_ARRAY_SET_ELEMENT_SIZE(array_ptr, element_size) \
(array_ptr)->m_element_size = element_size
#define MZ_ZIP_ARRAY_ELEMENT(array_ptr, element_type, index) \
((element_type *)((array_ptr)->m_p))[index]
static MZ_FORCEINLINE void mz_zip_array_clear(mz_zip_archive *pZip,
mz_zip_array *pArray) {
pZip->m_pFree(pZip->m_pAlloc_opaque, pArray->m_p);
memset(pArray, 0, sizeof(mz_zip_array));
}
static mz_bool mz_zip_array_ensure_capacity(mz_zip_archive *pZip,
mz_zip_array *pArray,
size_t min_new_capacity,
mz_uint growing) {
void *pNew_p;
size_t new_capacity = min_new_capacity;
MZ_ASSERT(pArray->m_element_size);
if (pArray->m_capacity >= min_new_capacity) return MZ_TRUE;
if (growing) {
new_capacity = MZ_MAX(1, pArray->m_capacity);
while (new_capacity < min_new_capacity) new_capacity *= 2;
}
if (NULL == (pNew_p = pZip->m_pRealloc(pZip->m_pAlloc_opaque, pArray->m_p,
pArray->m_element_size, new_capacity)))
return MZ_FALSE;
pArray->m_p = pNew_p;
pArray->m_capacity = new_capacity;
return MZ_TRUE;
}
static MZ_FORCEINLINE mz_bool mz_zip_array_reserve(mz_zip_archive *pZip,
mz_zip_array *pArray,
size_t new_capacity,
mz_uint growing) {
if (new_capacity > pArray->m_capacity) {
if (!mz_zip_array_ensure_capacity(pZip, pArray, new_capacity, growing))
return MZ_FALSE;
}
return MZ_TRUE;
}
static MZ_FORCEINLINE mz_bool mz_zip_array_resize(mz_zip_archive *pZip,
mz_zip_array *pArray,
size_t new_size,
mz_uint growing) {
if (new_size > pArray->m_capacity) {
if (!mz_zip_array_ensure_capacity(pZip, pArray, new_size, growing))
return MZ_FALSE;
}
pArray->m_size = new_size;
return MZ_TRUE;
}
static MZ_FORCEINLINE mz_bool mz_zip_array_ensure_room(mz_zip_archive *pZip,
mz_zip_array *pArray,
size_t n) {
return mz_zip_array_reserve(pZip, pArray, pArray->m_size + n, MZ_TRUE);
}
static MZ_FORCEINLINE mz_bool mz_zip_array_push_back(mz_zip_archive *pZip,
mz_zip_array *pArray,
const void *pElements,
size_t n) {
size_t orig_size = pArray->m_size;
if (!mz_zip_array_resize(pZip, pArray, orig_size + n, MZ_TRUE))
return MZ_FALSE;
memcpy((mz_uint8 *)pArray->m_p + orig_size * pArray->m_element_size,
pElements, n * pArray->m_element_size);
return MZ_TRUE;
}
#ifndef MINIZ_NO_TIME
static time_t mz_zip_dos_to_time_t(int dos_time, int dos_date) {
struct tm tm;
memset(&tm, 0, sizeof(tm));
tm.tm_isdst = -1;
tm.tm_year = ((dos_date >> 9) & 127) + 1980 - 1900;
tm.tm_mon = ((dos_date >> 5) & 15) - 1;
tm.tm_mday = dos_date & 31;
tm.tm_hour = (dos_time >> 11) & 31;
tm.tm_min = (dos_time >> 5) & 63;
tm.tm_sec = (dos_time << 1) & 62;
return mktime(&tm);
}
static void mz_zip_time_to_dos_time(time_t time, mz_uint16 *pDOS_time,
mz_uint16 *pDOS_date) {
#ifdef _MSC_VER
struct tm tm_struct;
struct tm *tm = &tm_struct;
errno_t err = localtime_s(tm, &time);
if (err) {
*pDOS_date = 0;
*pDOS_time = 0;
return;
}
#else
struct tm *tm = localtime(&time);
#endif
*pDOS_time = (mz_uint16)(((tm->tm_hour) << 11) + ((tm->tm_min) << 5) +
((tm->tm_sec) >> 1));
*pDOS_date = (mz_uint16)(((tm->tm_year + 1900 - 1980) << 9) +
((tm->tm_mon + 1) << 5) + tm->tm_mday);
}
#endif
#ifndef MINIZ_NO_STDIO
static mz_bool mz_zip_get_file_modified_time(const char *pFilename,
mz_uint16 *pDOS_time,
mz_uint16 *pDOS_date) {
#ifdef MINIZ_NO_TIME
(void)pFilename;
*pDOS_date = *pDOS_time = 0;
#else
struct MZ_FILE_STAT_STRUCT file_stat;
// On Linux with x86 glibc, this call will fail on large files (>= 0x80000000
// bytes) unless you compiled with _LARGEFILE64_SOURCE. Argh.
if (MZ_FILE_STAT(pFilename, &file_stat) != 0) return MZ_FALSE;
mz_zip_time_to_dos_time(file_stat.st_mtime, pDOS_time, pDOS_date);
#endif // #ifdef MINIZ_NO_TIME
return MZ_TRUE;
}
#ifndef MINIZ_NO_TIME
static mz_bool mz_zip_set_file_times(const char *pFilename, time_t access_time,
time_t modified_time) {
struct utimbuf t;
t.actime = access_time;
t.modtime = modified_time;
return !utime(pFilename, &t);
}
#endif // #ifndef MINIZ_NO_TIME
#endif // #ifndef MINIZ_NO_STDIO
static mz_bool mz_zip_reader_init_internal(mz_zip_archive *pZip,
mz_uint32 flags) {
(void)flags;
if ((!pZip) || (pZip->m_pState) || (pZip->m_zip_mode != MZ_ZIP_MODE_INVALID))
return MZ_FALSE;
if (!pZip->m_pAlloc) pZip->m_pAlloc = def_alloc_func;
if (!pZip->m_pFree) pZip->m_pFree = def_free_func;
if (!pZip->m_pRealloc) pZip->m_pRealloc = def_realloc_func;
pZip->m_zip_mode = MZ_ZIP_MODE_READING;
pZip->m_archive_size = 0;
pZip->m_central_directory_file_ofs = 0;
pZip->m_total_files = 0;
if (NULL == (pZip->m_pState = (mz_zip_internal_state *)pZip->m_pAlloc(
pZip->m_pAlloc_opaque, 1, sizeof(mz_zip_internal_state))))
return MZ_FALSE;
memset(pZip->m_pState, 0, sizeof(mz_zip_internal_state));
MZ_ZIP_ARRAY_SET_ELEMENT_SIZE(&pZip->m_pState->m_central_dir,
sizeof(mz_uint8));
MZ_ZIP_ARRAY_SET_ELEMENT_SIZE(&pZip->m_pState->m_central_dir_offsets,
sizeof(mz_uint32));
MZ_ZIP_ARRAY_SET_ELEMENT_SIZE(&pZip->m_pState->m_sorted_central_dir_offsets,
sizeof(mz_uint32));
return MZ_TRUE;
}
static MZ_FORCEINLINE mz_bool
mz_zip_reader_filename_less(const mz_zip_array *pCentral_dir_array,
const mz_zip_array *pCentral_dir_offsets,
mz_uint l_index, mz_uint r_index) {
const mz_uint8 *pL = &MZ_ZIP_ARRAY_ELEMENT(
pCentral_dir_array, mz_uint8,
MZ_ZIP_ARRAY_ELEMENT(pCentral_dir_offsets, mz_uint32,
l_index)),
*pE;
const mz_uint8 *pR = &MZ_ZIP_ARRAY_ELEMENT(
pCentral_dir_array, mz_uint8,
MZ_ZIP_ARRAY_ELEMENT(pCentral_dir_offsets, mz_uint32, r_index));
mz_uint l_len = MZ_READ_LE16(pL + MZ_ZIP_CDH_FILENAME_LEN_OFS),
r_len = MZ_READ_LE16(pR + MZ_ZIP_CDH_FILENAME_LEN_OFS);
mz_uint8 l = 0, r = 0;
pL += MZ_ZIP_CENTRAL_DIR_HEADER_SIZE;
pR += MZ_ZIP_CENTRAL_DIR_HEADER_SIZE;
pE = pL + MZ_MIN(l_len, r_len);
while (pL < pE) {
if ((l = MZ_TOLOWER(*pL)) != (r = MZ_TOLOWER(*pR))) break;
pL++;
pR++;
}
return (pL == pE) ? (l_len < r_len) : (l < r);
}
#define MZ_SWAP_UINT32(a, b) \
do { \
mz_uint32 t = a; \
a = b; \
b = t; \
} \
MZ_MACRO_END
// Heap sort of lowercased filenames, used to help accelerate plain central
// directory searches by mz_zip_reader_locate_file(). (Could also use qsort(),
// but it could allocate memory.)
static void mz_zip_reader_sort_central_dir_offsets_by_filename(
mz_zip_archive *pZip) {
mz_zip_internal_state *pState = pZip->m_pState;
const mz_zip_array *pCentral_dir_offsets = &pState->m_central_dir_offsets;
const mz_zip_array *pCentral_dir = &pState->m_central_dir;
mz_uint32 *pIndices = &MZ_ZIP_ARRAY_ELEMENT(
&pState->m_sorted_central_dir_offsets, mz_uint32, 0);
const int size = pZip->m_total_files;
int start = (size - 2) >> 1, end;
while (start >= 0) {
int child, root = start;
for (;;) {
if ((child = (root << 1) + 1) >= size) break;
child +=
(((child + 1) < size) &&
(mz_zip_reader_filename_less(pCentral_dir, pCentral_dir_offsets,
pIndices[child], pIndices[child + 1])));
if (!mz_zip_reader_filename_less(pCentral_dir, pCentral_dir_offsets,
pIndices[root], pIndices[child]))
break;
MZ_SWAP_UINT32(pIndices[root], pIndices[child]);
root = child;
}
start--;
}
end = size - 1;
while (end > 0) {
int child, root = 0;
MZ_SWAP_UINT32(pIndices[end], pIndices[0]);
for (;;) {
if ((child = (root << 1) + 1) >= end) break;
child +=
(((child + 1) < end) &&
mz_zip_reader_filename_less(pCentral_dir, pCentral_dir_offsets,
pIndices[child], pIndices[child + 1]));
if (!mz_zip_reader_filename_less(pCentral_dir, pCentral_dir_offsets,
pIndices[root], pIndices[child]))
break;
MZ_SWAP_UINT32(pIndices[root], pIndices[child]);
root = child;
}
end--;
}
}
static mz_bool mz_zip_reader_read_central_dir(mz_zip_archive *pZip,
mz_uint32 flags) {
mz_uint cdir_size, num_this_disk, cdir_disk_index;
mz_uint64 cdir_ofs;
mz_int64 cur_file_ofs;
const mz_uint8 *p;
mz_uint32 buf_u32[4096 / sizeof(mz_uint32)];
mz_uint8 *pBuf = (mz_uint8 *)buf_u32;
mz_bool sort_central_dir =
((flags & MZ_ZIP_FLAG_DO_NOT_SORT_CENTRAL_DIRECTORY) == 0);
// Basic sanity checks - reject files which are too small, and check the first
// 4 bytes of the file to make sure a local header is there.
if (pZip->m_archive_size < MZ_ZIP_END_OF_CENTRAL_DIR_HEADER_SIZE)
return MZ_FALSE;
// Find the end of central directory record by scanning the file from the end
// towards the beginning.
cur_file_ofs =
MZ_MAX((mz_int64)pZip->m_archive_size - (mz_int64)sizeof(buf_u32), 0);
for (;;) {
int i,
n = (int)MZ_MIN(sizeof(buf_u32), pZip->m_archive_size - cur_file_ofs);
if (pZip->m_pRead(pZip->m_pIO_opaque, cur_file_ofs, pBuf, n) != (mz_uint)n)
return MZ_FALSE;
for (i = n - 4; i >= 0; --i)
if (MZ_READ_LE32(pBuf + i) == MZ_ZIP_END_OF_CENTRAL_DIR_HEADER_SIG) break;
if (i >= 0) {
cur_file_ofs += i;
break;
}
if ((!cur_file_ofs) || ((pZip->m_archive_size - cur_file_ofs) >=
(0xFFFF + MZ_ZIP_END_OF_CENTRAL_DIR_HEADER_SIZE)))
return MZ_FALSE;
cur_file_ofs = MZ_MAX(cur_file_ofs - (sizeof(buf_u32) - 3), 0);
}
// Read and verify the end of central directory record.
if (pZip->m_pRead(pZip->m_pIO_opaque, cur_file_ofs, pBuf,
MZ_ZIP_END_OF_CENTRAL_DIR_HEADER_SIZE) !=
MZ_ZIP_END_OF_CENTRAL_DIR_HEADER_SIZE)
return MZ_FALSE;
if ((MZ_READ_LE32(pBuf + MZ_ZIP_ECDH_SIG_OFS) !=
MZ_ZIP_END_OF_CENTRAL_DIR_HEADER_SIG) ||
((pZip->m_total_files =
MZ_READ_LE16(pBuf + MZ_ZIP_ECDH_CDIR_TOTAL_ENTRIES_OFS)) !=
MZ_READ_LE16(pBuf + MZ_ZIP_ECDH_CDIR_NUM_ENTRIES_ON_DISK_OFS)))
return MZ_FALSE;
num_this_disk = MZ_READ_LE16(pBuf + MZ_ZIP_ECDH_NUM_THIS_DISK_OFS);
cdir_disk_index = MZ_READ_LE16(pBuf + MZ_ZIP_ECDH_NUM_DISK_CDIR_OFS);
if (((num_this_disk | cdir_disk_index) != 0) &&
((num_this_disk != 1) || (cdir_disk_index != 1)))
return MZ_FALSE;
if ((cdir_size = MZ_READ_LE32(pBuf + MZ_ZIP_ECDH_CDIR_SIZE_OFS)) <
pZip->m_total_files * MZ_ZIP_CENTRAL_DIR_HEADER_SIZE)
return MZ_FALSE;
cdir_ofs = MZ_READ_LE32(pBuf + MZ_ZIP_ECDH_CDIR_OFS_OFS);
if ((cdir_ofs + (mz_uint64)cdir_size) > pZip->m_archive_size) return MZ_FALSE;
pZip->m_central_directory_file_ofs = cdir_ofs;
if (pZip->m_total_files) {
mz_uint i, n;
// Read the entire central directory into a heap block, and allocate another
// heap block to hold the unsorted central dir file record offsets, and
// another to hold the sorted indices.
if ((!mz_zip_array_resize(pZip, &pZip->m_pState->m_central_dir, cdir_size,
MZ_FALSE)) ||
(!mz_zip_array_resize(pZip, &pZip->m_pState->m_central_dir_offsets,
pZip->m_total_files, MZ_FALSE)))
return MZ_FALSE;
if (sort_central_dir) {
if (!mz_zip_array_resize(pZip,
&pZip->m_pState->m_sorted_central_dir_offsets,
pZip->m_total_files, MZ_FALSE))
return MZ_FALSE;
}
if (pZip->m_pRead(pZip->m_pIO_opaque, cdir_ofs,
pZip->m_pState->m_central_dir.m_p,
cdir_size) != cdir_size)
return MZ_FALSE;
// Now create an index into the central directory file records, do some
// basic sanity checking on each record, and check for zip64 entries (which
// are not yet supported).
p = (const mz_uint8 *)pZip->m_pState->m_central_dir.m_p;
for (n = cdir_size, i = 0; i < pZip->m_total_files; ++i) {
mz_uint total_header_size, comp_size, decomp_size, disk_index;
if ((n < MZ_ZIP_CENTRAL_DIR_HEADER_SIZE) ||
(MZ_READ_LE32(p) != MZ_ZIP_CENTRAL_DIR_HEADER_SIG))
return MZ_FALSE;
MZ_ZIP_ARRAY_ELEMENT(&pZip->m_pState->m_central_dir_offsets, mz_uint32,
i) =
(mz_uint32)(p - (const mz_uint8 *)pZip->m_pState->m_central_dir.m_p);
if (sort_central_dir)
MZ_ZIP_ARRAY_ELEMENT(&pZip->m_pState->m_sorted_central_dir_offsets,
mz_uint32, i) = i;
comp_size = MZ_READ_LE32(p + MZ_ZIP_CDH_COMPRESSED_SIZE_OFS);
decomp_size = MZ_READ_LE32(p + MZ_ZIP_CDH_DECOMPRESSED_SIZE_OFS);
if (((!MZ_READ_LE32(p + MZ_ZIP_CDH_METHOD_OFS)) &&
(decomp_size != comp_size)) ||
(decomp_size && !comp_size) || (decomp_size == 0xFFFFFFFF) ||
(comp_size == 0xFFFFFFFF))
return MZ_FALSE;
disk_index = MZ_READ_LE16(p + MZ_ZIP_CDH_DISK_START_OFS);
if ((disk_index != num_this_disk) && (disk_index != 1)) return MZ_FALSE;
if (((mz_uint64)MZ_READ_LE32(p + MZ_ZIP_CDH_LOCAL_HEADER_OFS) +
MZ_ZIP_LOCAL_DIR_HEADER_SIZE + comp_size) > pZip->m_archive_size)
return MZ_FALSE;
if ((total_header_size = MZ_ZIP_CENTRAL_DIR_HEADER_SIZE +
MZ_READ_LE16(p + MZ_ZIP_CDH_FILENAME_LEN_OFS) +
MZ_READ_LE16(p + MZ_ZIP_CDH_EXTRA_LEN_OFS) +
MZ_READ_LE16(p + MZ_ZIP_CDH_COMMENT_LEN_OFS)) >
n)
return MZ_FALSE;
n -= total_header_size;
p += total_header_size;
}
}
if (sort_central_dir)
mz_zip_reader_sort_central_dir_offsets_by_filename(pZip);
return MZ_TRUE;
}
mz_bool mz_zip_reader_init(mz_zip_archive *pZip, mz_uint64 size,
mz_uint32 flags) {
if ((!pZip) || (!pZip->m_pRead)) return MZ_FALSE;
if (!mz_zip_reader_init_internal(pZip, flags)) return MZ_FALSE;
pZip->m_archive_size = size;
if (!mz_zip_reader_read_central_dir(pZip, flags)) {
mz_zip_reader_end(pZip);
return MZ_FALSE;
}
return MZ_TRUE;
}
static size_t mz_zip_mem_read_func(void *pOpaque, mz_uint64 file_ofs,
void *pBuf, size_t n) {
mz_zip_archive *pZip = (mz_zip_archive *)pOpaque;
size_t s = (file_ofs >= pZip->m_archive_size)
? 0
: (size_t)MZ_MIN(pZip->m_archive_size - file_ofs, n);
memcpy(pBuf, (const mz_uint8 *)pZip->m_pState->m_pMem + file_ofs, s);
return s;
}
mz_bool mz_zip_reader_init_mem(mz_zip_archive *pZip, const void *pMem,
size_t size, mz_uint32 flags) {
if (!mz_zip_reader_init_internal(pZip, flags)) return MZ_FALSE;
pZip->m_archive_size = size;
pZip->m_pRead = mz_zip_mem_read_func;
pZip->m_pIO_opaque = pZip;
#ifdef __cplusplus
pZip->m_pState->m_pMem = const_cast<void *>(pMem);
#else
pZip->m_pState->m_pMem = (void *)pMem;
#endif
pZip->m_pState->m_mem_size = size;
if (!mz_zip_reader_read_central_dir(pZip, flags)) {
mz_zip_reader_end(pZip);
return MZ_FALSE;
}
return MZ_TRUE;
}
#ifndef MINIZ_NO_STDIO
static size_t mz_zip_file_read_func(void *pOpaque, mz_uint64 file_ofs,
void *pBuf, size_t n) {
mz_zip_archive *pZip = (mz_zip_archive *)pOpaque;
mz_int64 cur_ofs = MZ_FTELL64(pZip->m_pState->m_pFile);
if (((mz_int64)file_ofs < 0) ||
(((cur_ofs != (mz_int64)file_ofs)) &&
(MZ_FSEEK64(pZip->m_pState->m_pFile, (mz_int64)file_ofs, SEEK_SET))))
return 0;
return MZ_FREAD(pBuf, 1, n, pZip->m_pState->m_pFile);
}
mz_bool mz_zip_reader_init_file(mz_zip_archive *pZip, const char *pFilename,
mz_uint32 flags) {
mz_uint64 file_size;
MZ_FILE *pFile = MZ_FOPEN(pFilename, "rb");
if (!pFile) return MZ_FALSE;
if (MZ_FSEEK64(pFile, 0, SEEK_END)) {
MZ_FCLOSE(pFile);
return MZ_FALSE;
}
file_size = MZ_FTELL64(pFile);
if (!mz_zip_reader_init_internal(pZip, flags)) {
MZ_FCLOSE(pFile);
return MZ_FALSE;
}
pZip->m_pRead = mz_zip_file_read_func;
pZip->m_pIO_opaque = pZip;
pZip->m_pState->m_pFile = pFile;
pZip->m_archive_size = file_size;
if (!mz_zip_reader_read_central_dir(pZip, flags)) {
mz_zip_reader_end(pZip);
return MZ_FALSE;
}
return MZ_TRUE;
}
#endif // #ifndef MINIZ_NO_STDIO
mz_uint mz_zip_reader_get_num_files(mz_zip_archive *pZip) {
return pZip ? pZip->m_total_files : 0;
}
static MZ_FORCEINLINE const mz_uint8 *mz_zip_reader_get_cdh(
mz_zip_archive *pZip, mz_uint file_index) {
if ((!pZip) || (!pZip->m_pState) || (file_index >= pZip->m_total_files) ||
(pZip->m_zip_mode != MZ_ZIP_MODE_READING))
return NULL;
return &MZ_ZIP_ARRAY_ELEMENT(
&pZip->m_pState->m_central_dir, mz_uint8,
MZ_ZIP_ARRAY_ELEMENT(&pZip->m_pState->m_central_dir_offsets, mz_uint32,
file_index));
}
mz_bool mz_zip_reader_is_file_encrypted(mz_zip_archive *pZip,
mz_uint file_index) {
mz_uint m_bit_flag;
const mz_uint8 *p = mz_zip_reader_get_cdh(pZip, file_index);
if (!p) return MZ_FALSE;
m_bit_flag = MZ_READ_LE16(p + MZ_ZIP_CDH_BIT_FLAG_OFS);
return (m_bit_flag & 1);
}
mz_bool mz_zip_reader_is_file_a_directory(mz_zip_archive *pZip,
mz_uint file_index) {
mz_uint filename_len, external_attr;
const mz_uint8 *p = mz_zip_reader_get_cdh(pZip, file_index);
if (!p) return MZ_FALSE;
// First see if the filename ends with a '/' character.
filename_len = MZ_READ_LE16(p + MZ_ZIP_CDH_FILENAME_LEN_OFS);
if (filename_len) {
if (*(p + MZ_ZIP_CENTRAL_DIR_HEADER_SIZE + filename_len - 1) == '/')
return MZ_TRUE;
}
// Bugfix: This code was also checking if the internal attribute was non-zero,
// which wasn't correct.
// Most/all zip writers (hopefully) set DOS file/directory attributes in the
// low 16-bits, so check for the DOS directory flag and ignore the source OS
// ID in the created by field.
// FIXME: Remove this check? Is it necessary - we already check the filename.
external_attr = MZ_READ_LE32(p + MZ_ZIP_CDH_EXTERNAL_ATTR_OFS);
if ((external_attr & 0x10) != 0) return MZ_TRUE;
return MZ_FALSE;
}
mz_bool mz_zip_reader_file_stat(mz_zip_archive *pZip, mz_uint file_index,
mz_zip_archive_file_stat *pStat) {
mz_uint n;
const mz_uint8 *p = mz_zip_reader_get_cdh(pZip, file_index);
if ((!p) || (!pStat)) return MZ_FALSE;
// Unpack the central directory record.
pStat->m_file_index = file_index;
pStat->m_central_dir_ofs = MZ_ZIP_ARRAY_ELEMENT(
&pZip->m_pState->m_central_dir_offsets, mz_uint32, file_index);
pStat->m_version_made_by = MZ_READ_LE16(p + MZ_ZIP_CDH_VERSION_MADE_BY_OFS);
pStat->m_version_needed = MZ_READ_LE16(p + MZ_ZIP_CDH_VERSION_NEEDED_OFS);
pStat->m_bit_flag = MZ_READ_LE16(p + MZ_ZIP_CDH_BIT_FLAG_OFS);
pStat->m_method = MZ_READ_LE16(p + MZ_ZIP_CDH_METHOD_OFS);
#ifndef MINIZ_NO_TIME
pStat->m_time =
mz_zip_dos_to_time_t(MZ_READ_LE16(p + MZ_ZIP_CDH_FILE_TIME_OFS),
MZ_READ_LE16(p + MZ_ZIP_CDH_FILE_DATE_OFS));
#endif
pStat->m_crc32 = MZ_READ_LE32(p + MZ_ZIP_CDH_CRC32_OFS);
pStat->m_comp_size = MZ_READ_LE32(p + MZ_ZIP_CDH_COMPRESSED_SIZE_OFS);
pStat->m_uncomp_size = MZ_READ_LE32(p + MZ_ZIP_CDH_DECOMPRESSED_SIZE_OFS);
pStat->m_internal_attr = MZ_READ_LE16(p + MZ_ZIP_CDH_INTERNAL_ATTR_OFS);
pStat->m_external_attr = MZ_READ_LE32(p + MZ_ZIP_CDH_EXTERNAL_ATTR_OFS);
pStat->m_local_header_ofs = MZ_READ_LE32(p + MZ_ZIP_CDH_LOCAL_HEADER_OFS);
// Copy as much of the filename and comment as possible.
n = MZ_READ_LE16(p + MZ_ZIP_CDH_FILENAME_LEN_OFS);
n = MZ_MIN(n, MZ_ZIP_MAX_ARCHIVE_FILENAME_SIZE - 1);
memcpy(pStat->m_filename, p + MZ_ZIP_CENTRAL_DIR_HEADER_SIZE, n);
pStat->m_filename[n] = '\0';
n = MZ_READ_LE16(p + MZ_ZIP_CDH_COMMENT_LEN_OFS);
n = MZ_MIN(n, MZ_ZIP_MAX_ARCHIVE_FILE_COMMENT_SIZE - 1);
pStat->m_comment_size = n;
memcpy(pStat->m_comment, p + MZ_ZIP_CENTRAL_DIR_HEADER_SIZE +
MZ_READ_LE16(p + MZ_ZIP_CDH_FILENAME_LEN_OFS) +
MZ_READ_LE16(p + MZ_ZIP_CDH_EXTRA_LEN_OFS),
n);
pStat->m_comment[n] = '\0';
return MZ_TRUE;
}
mz_uint mz_zip_reader_get_filename(mz_zip_archive *pZip, mz_uint file_index,
char *pFilename, mz_uint filename_buf_size) {
mz_uint n;
const mz_uint8 *p = mz_zip_reader_get_cdh(pZip, file_index);
if (!p) {
if (filename_buf_size) pFilename[0] = '\0';
return 0;
}
n = MZ_READ_LE16(p + MZ_ZIP_CDH_FILENAME_LEN_OFS);
if (filename_buf_size) {
n = MZ_MIN(n, filename_buf_size - 1);
memcpy(pFilename, p + MZ_ZIP_CENTRAL_DIR_HEADER_SIZE, n);
pFilename[n] = '\0';
}
return n + 1;
}
static MZ_FORCEINLINE mz_bool mz_zip_reader_string_equal(const char *pA,
const char *pB,
mz_uint len,
mz_uint flags) {
mz_uint i;
if (flags & MZ_ZIP_FLAG_CASE_SENSITIVE) return 0 == memcmp(pA, pB, len);
for (i = 0; i < len; ++i)
if (MZ_TOLOWER(pA[i]) != MZ_TOLOWER(pB[i])) return MZ_FALSE;
return MZ_TRUE;
}
static MZ_FORCEINLINE int mz_zip_reader_filename_compare(
const mz_zip_array *pCentral_dir_array,
const mz_zip_array *pCentral_dir_offsets, mz_uint l_index, const char *pR,
mz_uint r_len) {
const mz_uint8 *pL = &MZ_ZIP_ARRAY_ELEMENT(
pCentral_dir_array, mz_uint8,
MZ_ZIP_ARRAY_ELEMENT(pCentral_dir_offsets, mz_uint32,
l_index)),
*pE;
mz_uint l_len = MZ_READ_LE16(pL + MZ_ZIP_CDH_FILENAME_LEN_OFS);
mz_uint8 l = 0, r = 0;
pL += MZ_ZIP_CENTRAL_DIR_HEADER_SIZE;
pE = pL + MZ_MIN(l_len, r_len);
while (pL < pE) {
if ((l = MZ_TOLOWER(*pL)) != (r = MZ_TOLOWER(*pR))) break;
pL++;
pR++;
}
return (pL == pE) ? (int)(l_len - r_len) : (l - r);
}
static int mz_zip_reader_locate_file_binary_search(mz_zip_archive *pZip,
const char *pFilename) {
mz_zip_internal_state *pState = pZip->m_pState;
const mz_zip_array *pCentral_dir_offsets = &pState->m_central_dir_offsets;
const mz_zip_array *pCentral_dir = &pState->m_central_dir;
mz_uint32 *pIndices = &MZ_ZIP_ARRAY_ELEMENT(
&pState->m_sorted_central_dir_offsets, mz_uint32, 0);
const int size = pZip->m_total_files;
const mz_uint filename_len = (mz_uint)strlen(pFilename);
int l = 0, h = size - 1;
while (l <= h) {
int m = (l + h) >> 1, file_index = pIndices[m],
comp =
mz_zip_reader_filename_compare(pCentral_dir, pCentral_dir_offsets,
file_index, pFilename, filename_len);
if (!comp)
return file_index;
else if (comp < 0)
l = m + 1;
else
h = m - 1;
}
return -1;
}
int mz_zip_reader_locate_file(mz_zip_archive *pZip, const char *pName,
const char *pComment, mz_uint flags) {
mz_uint file_index;
size_t name_len, comment_len;
if ((!pZip) || (!pZip->m_pState) || (!pName) ||
(pZip->m_zip_mode != MZ_ZIP_MODE_READING))
return -1;
if (((flags & (MZ_ZIP_FLAG_IGNORE_PATH | MZ_ZIP_FLAG_CASE_SENSITIVE)) == 0) &&
(!pComment) && (pZip->m_pState->m_sorted_central_dir_offsets.m_size))
return mz_zip_reader_locate_file_binary_search(pZip, pName);
name_len = strlen(pName);
if (name_len > 0xFFFF) return -1;
comment_len = pComment ? strlen(pComment) : 0;
if (comment_len > 0xFFFF) return -1;
for (file_index = 0; file_index < pZip->m_total_files; file_index++) {
const mz_uint8 *pHeader = &MZ_ZIP_ARRAY_ELEMENT(
&pZip->m_pState->m_central_dir, mz_uint8,
MZ_ZIP_ARRAY_ELEMENT(&pZip->m_pState->m_central_dir_offsets, mz_uint32,
file_index));
mz_uint filename_len = MZ_READ_LE16(pHeader + MZ_ZIP_CDH_FILENAME_LEN_OFS);
const char *pFilename =
(const char *)pHeader + MZ_ZIP_CENTRAL_DIR_HEADER_SIZE;
if (filename_len < name_len) continue;
if (comment_len) {
mz_uint file_extra_len = MZ_READ_LE16(pHeader + MZ_ZIP_CDH_EXTRA_LEN_OFS),
file_comment_len =
MZ_READ_LE16(pHeader + MZ_ZIP_CDH_COMMENT_LEN_OFS);
const char *pFile_comment = pFilename + filename_len + file_extra_len;
if ((file_comment_len != comment_len) ||
(!mz_zip_reader_string_equal(pComment, pFile_comment,
file_comment_len, flags)))
continue;
}
if ((flags & MZ_ZIP_FLAG_IGNORE_PATH) && (filename_len)) {
int ofs = filename_len - 1;
do {
if ((pFilename[ofs] == '/') || (pFilename[ofs] == '\\') ||
(pFilename[ofs] == ':'))
break;
} while (--ofs >= 0);
ofs++;
pFilename += ofs;
filename_len -= ofs;
}
if ((filename_len == name_len) &&
(mz_zip_reader_string_equal(pName, pFilename, filename_len, flags)))
return file_index;
}
return -1;
}
mz_bool mz_zip_reader_extract_to_mem_no_alloc(mz_zip_archive *pZip,
mz_uint file_index, void *pBuf,
size_t buf_size, mz_uint flags,
void *pUser_read_buf,
size_t user_read_buf_size) {
int status = TINFL_STATUS_DONE;
mz_uint64 needed_size, cur_file_ofs, comp_remaining,
out_buf_ofs = 0, read_buf_size, read_buf_ofs = 0, read_buf_avail;
mz_zip_archive_file_stat file_stat;
void *pRead_buf;
mz_uint32
local_header_u32[(MZ_ZIP_LOCAL_DIR_HEADER_SIZE + sizeof(mz_uint32) - 1) /
sizeof(mz_uint32)];
mz_uint8 *pLocal_header = (mz_uint8 *)local_header_u32;
tinfl_decompressor inflator;
if ((buf_size) && (!pBuf)) return MZ_FALSE;
if (!mz_zip_reader_file_stat(pZip, file_index, &file_stat)) return MZ_FALSE;
// Empty file, or a directory (but not always a directory - I've seen odd zips
// with directories that have compressed data which inflates to 0 bytes)
if (!file_stat.m_comp_size) return MZ_TRUE;
// Entry is a subdirectory (I've seen old zips with dir entries which have
// compressed deflate data which inflates to 0 bytes, but these entries claim
// to uncompress to 512 bytes in the headers).
// I'm torn how to handle this case - should it fail instead?
if (mz_zip_reader_is_file_a_directory(pZip, file_index)) return MZ_TRUE;
// Encryption and patch files are not supported.
if (file_stat.m_bit_flag & (1 | 32)) return MZ_FALSE;
// This function only supports stored and deflate.
if ((!(flags & MZ_ZIP_FLAG_COMPRESSED_DATA)) && (file_stat.m_method != 0) &&
(file_stat.m_method != MZ_DEFLATED))
return MZ_FALSE;
// Ensure supplied output buffer is large enough.
needed_size = (flags & MZ_ZIP_FLAG_COMPRESSED_DATA) ? file_stat.m_comp_size
: file_stat.m_uncomp_size;
if (buf_size < needed_size) return MZ_FALSE;
// Read and parse the local directory entry.
cur_file_ofs = file_stat.m_local_header_ofs;
if (pZip->m_pRead(pZip->m_pIO_opaque, cur_file_ofs, pLocal_header,
MZ_ZIP_LOCAL_DIR_HEADER_SIZE) !=
MZ_ZIP_LOCAL_DIR_HEADER_SIZE)
return MZ_FALSE;
if (MZ_READ_LE32(pLocal_header) != MZ_ZIP_LOCAL_DIR_HEADER_SIG)
return MZ_FALSE;
cur_file_ofs += MZ_ZIP_LOCAL_DIR_HEADER_SIZE +
MZ_READ_LE16(pLocal_header + MZ_ZIP_LDH_FILENAME_LEN_OFS) +
MZ_READ_LE16(pLocal_header + MZ_ZIP_LDH_EXTRA_LEN_OFS);
if ((cur_file_ofs + file_stat.m_comp_size) > pZip->m_archive_size)
return MZ_FALSE;
if ((flags & MZ_ZIP_FLAG_COMPRESSED_DATA) || (!file_stat.m_method)) {
// The file is stored or the caller has requested the compressed data.
if (pZip->m_pRead(pZip->m_pIO_opaque, cur_file_ofs, pBuf,
(size_t)needed_size) != needed_size)
return MZ_FALSE;
return ((flags & MZ_ZIP_FLAG_COMPRESSED_DATA) != 0) ||
(mz_crc32(MZ_CRC32_INIT, (const mz_uint8 *)pBuf,
(size_t)file_stat.m_uncomp_size) == file_stat.m_crc32);
}
// Decompress the file either directly from memory or from a file input
// buffer.
tinfl_init(&inflator);
if (pZip->m_pState->m_pMem) {
// Read directly from the archive in memory.
pRead_buf = (mz_uint8 *)pZip->m_pState->m_pMem + cur_file_ofs;
read_buf_size = read_buf_avail = file_stat.m_comp_size;
comp_remaining = 0;
} else if (pUser_read_buf) {
// Use a user provided read buffer.
if (!user_read_buf_size) return MZ_FALSE;
pRead_buf = (mz_uint8 *)pUser_read_buf;
read_buf_size = user_read_buf_size;
read_buf_avail = 0;
comp_remaining = file_stat.m_comp_size;
} else {
// Temporarily allocate a read buffer.
read_buf_size =
MZ_MIN(file_stat.m_comp_size, (mz_uint)MZ_ZIP_MAX_IO_BUF_SIZE);
#ifdef _MSC_VER
if (((0, sizeof(size_t) == sizeof(mz_uint32))) &&
(read_buf_size > 0x7FFFFFFF))
#else
if (((sizeof(size_t) == sizeof(mz_uint32))) && (read_buf_size > 0x7FFFFFFF))
#endif
return MZ_FALSE;
if (NULL == (pRead_buf = pZip->m_pAlloc(pZip->m_pAlloc_opaque, 1,
(size_t)read_buf_size)))
return MZ_FALSE;
read_buf_avail = 0;
comp_remaining = file_stat.m_comp_size;
}
do {
size_t in_buf_size,
out_buf_size = (size_t)(file_stat.m_uncomp_size - out_buf_ofs);
if ((!read_buf_avail) && (!pZip->m_pState->m_pMem)) {
read_buf_avail = MZ_MIN(read_buf_size, comp_remaining);
if (pZip->m_pRead(pZip->m_pIO_opaque, cur_file_ofs, pRead_buf,
(size_t)read_buf_avail) != read_buf_avail) {
status = TINFL_STATUS_FAILED;
break;
}
cur_file_ofs += read_buf_avail;
comp_remaining -= read_buf_avail;
read_buf_ofs = 0;
}
in_buf_size = (size_t)read_buf_avail;
status = tinfl_decompress(
&inflator, (mz_uint8 *)pRead_buf + read_buf_ofs, &in_buf_size,
(mz_uint8 *)pBuf, (mz_uint8 *)pBuf + out_buf_ofs, &out_buf_size,
TINFL_FLAG_USING_NON_WRAPPING_OUTPUT_BUF |
(comp_remaining ? TINFL_FLAG_HAS_MORE_INPUT : 0));
read_buf_avail -= in_buf_size;
read_buf_ofs += in_buf_size;
out_buf_ofs += out_buf_size;
} while (status == TINFL_STATUS_NEEDS_MORE_INPUT);
if (status == TINFL_STATUS_DONE) {
// Make sure the entire file was decompressed, and check its CRC.
if ((out_buf_ofs != file_stat.m_uncomp_size) ||
(mz_crc32(MZ_CRC32_INIT, (const mz_uint8 *)pBuf,
(size_t)file_stat.m_uncomp_size) != file_stat.m_crc32))
status = TINFL_STATUS_FAILED;
}
if ((!pZip->m_pState->m_pMem) && (!pUser_read_buf))
pZip->m_pFree(pZip->m_pAlloc_opaque, pRead_buf);
return status == TINFL_STATUS_DONE;
}
mz_bool mz_zip_reader_extract_file_to_mem_no_alloc(
mz_zip_archive *pZip, const char *pFilename, void *pBuf, size_t buf_size,
mz_uint flags, void *pUser_read_buf, size_t user_read_buf_size) {
int file_index = mz_zip_reader_locate_file(pZip, pFilename, NULL, flags);
if (file_index < 0) return MZ_FALSE;
return mz_zip_reader_extract_to_mem_no_alloc(pZip, file_index, pBuf, buf_size,
flags, pUser_read_buf,
user_read_buf_size);
}
mz_bool mz_zip_reader_extract_to_mem(mz_zip_archive *pZip, mz_uint file_index,
void *pBuf, size_t buf_size,
mz_uint flags) {
return mz_zip_reader_extract_to_mem_no_alloc(pZip, file_index, pBuf, buf_size,
flags, NULL, 0);
}
mz_bool mz_zip_reader_extract_file_to_mem(mz_zip_archive *pZip,
const char *pFilename, void *pBuf,
size_t buf_size, mz_uint flags) {
return mz_zip_reader_extract_file_to_mem_no_alloc(pZip, pFilename, pBuf,
buf_size, flags, NULL, 0);
}
void *mz_zip_reader_extract_to_heap(mz_zip_archive *pZip, mz_uint file_index,
size_t *pSize, mz_uint flags) {
mz_uint64 comp_size, uncomp_size, alloc_size;
const mz_uint8 *p = mz_zip_reader_get_cdh(pZip, file_index);
void *pBuf;
if (pSize) *pSize = 0;
if (!p) return NULL;
comp_size = MZ_READ_LE32(p + MZ_ZIP_CDH_COMPRESSED_SIZE_OFS);
uncomp_size = MZ_READ_LE32(p + MZ_ZIP_CDH_DECOMPRESSED_SIZE_OFS);
alloc_size = (flags & MZ_ZIP_FLAG_COMPRESSED_DATA) ? comp_size : uncomp_size;
#ifdef _MSC_VER
if (((0, sizeof(size_t) == sizeof(mz_uint32))) && (alloc_size > 0x7FFFFFFF))
#else
if (((sizeof(size_t) == sizeof(mz_uint32))) && (alloc_size > 0x7FFFFFFF))
#endif
return NULL;
if (NULL ==
(pBuf = pZip->m_pAlloc(pZip->m_pAlloc_opaque, 1, (size_t)alloc_size)))
return NULL;
if (!mz_zip_reader_extract_to_mem(pZip, file_index, pBuf, (size_t)alloc_size,
flags)) {
pZip->m_pFree(pZip->m_pAlloc_opaque, pBuf);
return NULL;
}
if (pSize) *pSize = (size_t)alloc_size;
return pBuf;
}
void *mz_zip_reader_extract_file_to_heap(mz_zip_archive *pZip,
const char *pFilename, size_t *pSize,
mz_uint flags) {
int file_index = mz_zip_reader_locate_file(pZip, pFilename, NULL, flags);
if (file_index < 0) {
if (pSize) *pSize = 0;
return MZ_FALSE;
}
return mz_zip_reader_extract_to_heap(pZip, file_index, pSize, flags);
}
mz_bool mz_zip_reader_extract_to_callback(mz_zip_archive *pZip,
mz_uint file_index,
mz_file_write_func pCallback,
void *pOpaque, mz_uint flags) {
int status = TINFL_STATUS_DONE;
mz_uint file_crc32 = MZ_CRC32_INIT;
mz_uint64 read_buf_size, read_buf_ofs = 0, read_buf_avail, comp_remaining,
out_buf_ofs = 0, cur_file_ofs;
mz_zip_archive_file_stat file_stat;
void *pRead_buf = NULL;
void *pWrite_buf = NULL;
mz_uint32
local_header_u32[(MZ_ZIP_LOCAL_DIR_HEADER_SIZE + sizeof(mz_uint32) - 1) /
sizeof(mz_uint32)];
mz_uint8 *pLocal_header = (mz_uint8 *)local_header_u32;
if (!mz_zip_reader_file_stat(pZip, file_index, &file_stat)) return MZ_FALSE;
// Empty file, or a directory (but not always a directory - I've seen odd zips
// with directories that have compressed data which inflates to 0 bytes)
if (!file_stat.m_comp_size) return MZ_TRUE;
// Entry is a subdirectory (I've seen old zips with dir entries which have
// compressed deflate data which inflates to 0 bytes, but these entries claim
// to uncompress to 512 bytes in the headers).
// I'm torn how to handle this case - should it fail instead?
if (mz_zip_reader_is_file_a_directory(pZip, file_index)) return MZ_TRUE;
// Encryption and patch files are not supported.
if (file_stat.m_bit_flag & (1 | 32)) return MZ_FALSE;
// This function only supports stored and deflate.
if ((!(flags & MZ_ZIP_FLAG_COMPRESSED_DATA)) && (file_stat.m_method != 0) &&
(file_stat.m_method != MZ_DEFLATED))
return MZ_FALSE;
// Read and parse the local directory entry.
cur_file_ofs = file_stat.m_local_header_ofs;
if (pZip->m_pRead(pZip->m_pIO_opaque, cur_file_ofs, pLocal_header,
MZ_ZIP_LOCAL_DIR_HEADER_SIZE) !=
MZ_ZIP_LOCAL_DIR_HEADER_SIZE)
return MZ_FALSE;
if (MZ_READ_LE32(pLocal_header) != MZ_ZIP_LOCAL_DIR_HEADER_SIG)
return MZ_FALSE;
cur_file_ofs += MZ_ZIP_LOCAL_DIR_HEADER_SIZE +
MZ_READ_LE16(pLocal_header + MZ_ZIP_LDH_FILENAME_LEN_OFS) +
MZ_READ_LE16(pLocal_header + MZ_ZIP_LDH_EXTRA_LEN_OFS);
if ((cur_file_ofs + file_stat.m_comp_size) > pZip->m_archive_size)
return MZ_FALSE;
// Decompress the file either directly from memory or from a file input
// buffer.
if (pZip->m_pState->m_pMem) {
pRead_buf = (mz_uint8 *)pZip->m_pState->m_pMem + cur_file_ofs;
read_buf_size = read_buf_avail = file_stat.m_comp_size;
comp_remaining = 0;
} else {
read_buf_size =
MZ_MIN(file_stat.m_comp_size, (mz_uint)MZ_ZIP_MAX_IO_BUF_SIZE);
if (NULL == (pRead_buf = pZip->m_pAlloc(pZip->m_pAlloc_opaque, 1,
(size_t)read_buf_size)))
return MZ_FALSE;
read_buf_avail = 0;
comp_remaining = file_stat.m_comp_size;
}
if ((flags & MZ_ZIP_FLAG_COMPRESSED_DATA) || (!file_stat.m_method)) {
// The file is stored or the caller has requested the compressed data.
if (pZip->m_pState->m_pMem) {
#ifdef _MSC_VER
if (((0, sizeof(size_t) == sizeof(mz_uint32))) &&
(file_stat.m_comp_size > 0xFFFFFFFF))
#else
if (((sizeof(size_t) == sizeof(mz_uint32))) &&
(file_stat.m_comp_size > 0xFFFFFFFF))
#endif
return MZ_FALSE;
if (pCallback(pOpaque, out_buf_ofs, pRead_buf,
(size_t)file_stat.m_comp_size) != file_stat.m_comp_size)
status = TINFL_STATUS_FAILED;
else if (!(flags & MZ_ZIP_FLAG_COMPRESSED_DATA))
file_crc32 =
(mz_uint32)mz_crc32(file_crc32, (const mz_uint8 *)pRead_buf,
(size_t)file_stat.m_comp_size);
cur_file_ofs += file_stat.m_comp_size;
out_buf_ofs += file_stat.m_comp_size;
comp_remaining = 0;
} else {
while (comp_remaining) {
read_buf_avail = MZ_MIN(read_buf_size, comp_remaining);
if (pZip->m_pRead(pZip->m_pIO_opaque, cur_file_ofs, pRead_buf,
(size_t)read_buf_avail) != read_buf_avail) {
status = TINFL_STATUS_FAILED;
break;
}
if (!(flags & MZ_ZIP_FLAG_COMPRESSED_DATA))
file_crc32 = (mz_uint32)mz_crc32(
file_crc32, (const mz_uint8 *)pRead_buf, (size_t)read_buf_avail);
if (pCallback(pOpaque, out_buf_ofs, pRead_buf,
(size_t)read_buf_avail) != read_buf_avail) {
status = TINFL_STATUS_FAILED;
break;
}
cur_file_ofs += read_buf_avail;
out_buf_ofs += read_buf_avail;
comp_remaining -= read_buf_avail;
}
}
} else {
tinfl_decompressor inflator;
tinfl_init(&inflator);
if (NULL == (pWrite_buf = pZip->m_pAlloc(pZip->m_pAlloc_opaque, 1,
TINFL_LZ_DICT_SIZE)))
status = TINFL_STATUS_FAILED;
else {
do {
mz_uint8 *pWrite_buf_cur =
(mz_uint8 *)pWrite_buf + (out_buf_ofs & (TINFL_LZ_DICT_SIZE - 1));
size_t in_buf_size,
out_buf_size =
TINFL_LZ_DICT_SIZE - (out_buf_ofs & (TINFL_LZ_DICT_SIZE - 1));
if ((!read_buf_avail) && (!pZip->m_pState->m_pMem)) {
read_buf_avail = MZ_MIN(read_buf_size, comp_remaining);
if (pZip->m_pRead(pZip->m_pIO_opaque, cur_file_ofs, pRead_buf,
(size_t)read_buf_avail) != read_buf_avail) {
status = TINFL_STATUS_FAILED;
break;
}
cur_file_ofs += read_buf_avail;
comp_remaining -= read_buf_avail;
read_buf_ofs = 0;
}
in_buf_size = (size_t)read_buf_avail;
status = tinfl_decompress(
&inflator, (const mz_uint8 *)pRead_buf + read_buf_ofs, &in_buf_size,
(mz_uint8 *)pWrite_buf, pWrite_buf_cur, &out_buf_size,
comp_remaining ? TINFL_FLAG_HAS_MORE_INPUT : 0);
read_buf_avail -= in_buf_size;
read_buf_ofs += in_buf_size;
if (out_buf_size) {
if (pCallback(pOpaque, out_buf_ofs, pWrite_buf_cur, out_buf_size) !=
out_buf_size) {
status = TINFL_STATUS_FAILED;
break;
}
file_crc32 =
(mz_uint32)mz_crc32(file_crc32, pWrite_buf_cur, out_buf_size);
if ((out_buf_ofs += out_buf_size) > file_stat.m_uncomp_size) {
status = TINFL_STATUS_FAILED;
break;
}
}
} while ((status == TINFL_STATUS_NEEDS_MORE_INPUT) ||
(status == TINFL_STATUS_HAS_MORE_OUTPUT));
}
}
if ((status == TINFL_STATUS_DONE) &&
(!(flags & MZ_ZIP_FLAG_COMPRESSED_DATA))) {
// Make sure the entire file was decompressed, and check its CRC.
if ((out_buf_ofs != file_stat.m_uncomp_size) ||
(file_crc32 != file_stat.m_crc32))
status = TINFL_STATUS_FAILED;
}
if (!pZip->m_pState->m_pMem) pZip->m_pFree(pZip->m_pAlloc_opaque, pRead_buf);
if (pWrite_buf) pZip->m_pFree(pZip->m_pAlloc_opaque, pWrite_buf);
return status == TINFL_STATUS_DONE;
}
mz_bool mz_zip_reader_extract_file_to_callback(mz_zip_archive *pZip,
const char *pFilename,
mz_file_write_func pCallback,
void *pOpaque, mz_uint flags) {
int file_index = mz_zip_reader_locate_file(pZip, pFilename, NULL, flags);
if (file_index < 0) return MZ_FALSE;
return mz_zip_reader_extract_to_callback(pZip, file_index, pCallback, pOpaque,
flags);
}
#ifndef MINIZ_NO_STDIO
static size_t mz_zip_file_write_callback(void *pOpaque, mz_uint64 ofs,
const void *pBuf, size_t n) {
(void)ofs;
return MZ_FWRITE(pBuf, 1, n, (MZ_FILE *)pOpaque);
}
mz_bool mz_zip_reader_extract_to_file(mz_zip_archive *pZip, mz_uint file_index,
const char *pDst_filename,
mz_uint flags) {
mz_bool status;
mz_zip_archive_file_stat file_stat;
MZ_FILE *pFile;
if (!mz_zip_reader_file_stat(pZip, file_index, &file_stat)) return MZ_FALSE;
pFile = MZ_FOPEN(pDst_filename, "wb");
if (!pFile) return MZ_FALSE;
status = mz_zip_reader_extract_to_callback(
pZip, file_index, mz_zip_file_write_callback, pFile, flags);
if (MZ_FCLOSE(pFile) == EOF) return MZ_FALSE;
#ifndef MINIZ_NO_TIME
if (status)
mz_zip_set_file_times(pDst_filename, file_stat.m_time, file_stat.m_time);
#endif
return status;
}
#endif // #ifndef MINIZ_NO_STDIO
mz_bool mz_zip_reader_end(mz_zip_archive *pZip) {
if ((!pZip) || (!pZip->m_pState) || (!pZip->m_pAlloc) || (!pZip->m_pFree) ||
(pZip->m_zip_mode != MZ_ZIP_MODE_READING))
return MZ_FALSE;
if (pZip->m_pState) {
mz_zip_internal_state *pState = pZip->m_pState;
pZip->m_pState = NULL;
mz_zip_array_clear(pZip, &pState->m_central_dir);
mz_zip_array_clear(pZip, &pState->m_central_dir_offsets);
mz_zip_array_clear(pZip, &pState->m_sorted_central_dir_offsets);
#ifndef MINIZ_NO_STDIO
if (pState->m_pFile) {
MZ_FCLOSE(pState->m_pFile);
pState->m_pFile = NULL;
}
#endif // #ifndef MINIZ_NO_STDIO
pZip->m_pFree(pZip->m_pAlloc_opaque, pState);
}
pZip->m_zip_mode = MZ_ZIP_MODE_INVALID;
return MZ_TRUE;
}
#ifndef MINIZ_NO_STDIO
mz_bool mz_zip_reader_extract_file_to_file(mz_zip_archive *pZip,
const char *pArchive_filename,
const char *pDst_filename,
mz_uint flags) {
int file_index =
mz_zip_reader_locate_file(pZip, pArchive_filename, NULL, flags);
if (file_index < 0) return MZ_FALSE;
return mz_zip_reader_extract_to_file(pZip, file_index, pDst_filename, flags);
}
#endif
// ------------------- .ZIP archive writing
#ifndef MINIZ_NO_ARCHIVE_WRITING_APIS
static void mz_write_le16(mz_uint8 *p, mz_uint16 v) {
p[0] = (mz_uint8)v;
p[1] = (mz_uint8)(v >> 8);
}
static void mz_write_le32(mz_uint8 *p, mz_uint32 v) {
p[0] = (mz_uint8)v;
p[1] = (mz_uint8)(v >> 8);
p[2] = (mz_uint8)(v >> 16);
p[3] = (mz_uint8)(v >> 24);
}
#define MZ_WRITE_LE16(p, v) mz_write_le16((mz_uint8 *)(p), (mz_uint16)(v))
#define MZ_WRITE_LE32(p, v) mz_write_le32((mz_uint8 *)(p), (mz_uint32)(v))
mz_bool mz_zip_writer_init(mz_zip_archive *pZip, mz_uint64 existing_size) {
if ((!pZip) || (pZip->m_pState) || (!pZip->m_pWrite) ||
(pZip->m_zip_mode != MZ_ZIP_MODE_INVALID))
return MZ_FALSE;
if (pZip->m_file_offset_alignment) {
// Ensure user specified file offset alignment is a power of 2.
if (pZip->m_file_offset_alignment & (pZip->m_file_offset_alignment - 1))
return MZ_FALSE;
}
if (!pZip->m_pAlloc) pZip->m_pAlloc = def_alloc_func;
if (!pZip->m_pFree) pZip->m_pFree = def_free_func;
if (!pZip->m_pRealloc) pZip->m_pRealloc = def_realloc_func;
pZip->m_zip_mode = MZ_ZIP_MODE_WRITING;
pZip->m_archive_size = existing_size;
pZip->m_central_directory_file_ofs = 0;
pZip->m_total_files = 0;
if (NULL == (pZip->m_pState = (mz_zip_internal_state *)pZip->m_pAlloc(
pZip->m_pAlloc_opaque, 1, sizeof(mz_zip_internal_state))))
return MZ_FALSE;
memset(pZip->m_pState, 0, sizeof(mz_zip_internal_state));
MZ_ZIP_ARRAY_SET_ELEMENT_SIZE(&pZip->m_pState->m_central_dir,
sizeof(mz_uint8));
MZ_ZIP_ARRAY_SET_ELEMENT_SIZE(&pZip->m_pState->m_central_dir_offsets,
sizeof(mz_uint32));
MZ_ZIP_ARRAY_SET_ELEMENT_SIZE(&pZip->m_pState->m_sorted_central_dir_offsets,
sizeof(mz_uint32));
return MZ_TRUE;
}
static size_t mz_zip_heap_write_func(void *pOpaque, mz_uint64 file_ofs,
const void *pBuf, size_t n) {
mz_zip_archive *pZip = (mz_zip_archive *)pOpaque;
mz_zip_internal_state *pState = pZip->m_pState;
mz_uint64 new_size = MZ_MAX(file_ofs + n, pState->m_mem_size);
#ifdef _MSC_VER
if ((!n) ||
((0, sizeof(size_t) == sizeof(mz_uint32)) && (new_size > 0x7FFFFFFF)))
#else
if ((!n) ||
((sizeof(size_t) == sizeof(mz_uint32)) && (new_size > 0x7FFFFFFF)))
#endif
return 0;
if (new_size > pState->m_mem_capacity) {
void *pNew_block;
size_t new_capacity = MZ_MAX(64, pState->m_mem_capacity);
while (new_capacity < new_size) new_capacity *= 2;
if (NULL == (pNew_block = pZip->m_pRealloc(
pZip->m_pAlloc_opaque, pState->m_pMem, 1, new_capacity)))
return 0;
pState->m_pMem = pNew_block;
pState->m_mem_capacity = new_capacity;
}
memcpy((mz_uint8 *)pState->m_pMem + file_ofs, pBuf, n);
pState->m_mem_size = (size_t)new_size;
return n;
}
mz_bool mz_zip_writer_init_heap(mz_zip_archive *pZip,
size_t size_to_reserve_at_beginning,
size_t initial_allocation_size) {
pZip->m_pWrite = mz_zip_heap_write_func;
pZip->m_pIO_opaque = pZip;
if (!mz_zip_writer_init(pZip, size_to_reserve_at_beginning)) return MZ_FALSE;
if (0 != (initial_allocation_size = MZ_MAX(initial_allocation_size,
size_to_reserve_at_beginning))) {
if (NULL == (pZip->m_pState->m_pMem = pZip->m_pAlloc(
pZip->m_pAlloc_opaque, 1, initial_allocation_size))) {
mz_zip_writer_end(pZip);
return MZ_FALSE;
}
pZip->m_pState->m_mem_capacity = initial_allocation_size;
}
return MZ_TRUE;
}
#ifndef MINIZ_NO_STDIO
static size_t mz_zip_file_write_func(void *pOpaque, mz_uint64 file_ofs,
const void *pBuf, size_t n) {
mz_zip_archive *pZip = (mz_zip_archive *)pOpaque;
mz_int64 cur_ofs = MZ_FTELL64(pZip->m_pState->m_pFile);
if (((mz_int64)file_ofs < 0) ||
(((cur_ofs != (mz_int64)file_ofs)) &&
(MZ_FSEEK64(pZip->m_pState->m_pFile, (mz_int64)file_ofs, SEEK_SET))))
return 0;
return MZ_FWRITE(pBuf, 1, n, pZip->m_pState->m_pFile);
}
mz_bool mz_zip_writer_init_file(mz_zip_archive *pZip, const char *pFilename,
mz_uint64 size_to_reserve_at_beginning) {
MZ_FILE *pFile;
pZip->m_pWrite = mz_zip_file_write_func;
pZip->m_pIO_opaque = pZip;
if (!mz_zip_writer_init(pZip, size_to_reserve_at_beginning)) return MZ_FALSE;
if (NULL == (pFile = MZ_FOPEN(pFilename, "wb"))) {
mz_zip_writer_end(pZip);
return MZ_FALSE;
}
pZip->m_pState->m_pFile = pFile;
if (size_to_reserve_at_beginning) {
mz_uint64 cur_ofs = 0;
char buf[4096];
MZ_CLEAR_OBJ(buf);
do {
size_t n = (size_t)MZ_MIN(sizeof(buf), size_to_reserve_at_beginning);
if (pZip->m_pWrite(pZip->m_pIO_opaque, cur_ofs, buf, n) != n) {
mz_zip_writer_end(pZip);
return MZ_FALSE;
}
cur_ofs += n;
size_to_reserve_at_beginning -= n;
} while (size_to_reserve_at_beginning);
}
return MZ_TRUE;
}
#endif // #ifndef MINIZ_NO_STDIO
mz_bool mz_zip_writer_init_from_reader(mz_zip_archive *pZip,
const char *pFilename) {
mz_zip_internal_state *pState;
if ((!pZip) || (!pZip->m_pState) || (pZip->m_zip_mode != MZ_ZIP_MODE_READING))
return MZ_FALSE;
// No sense in trying to write to an archive that's already at the support max
// size
if ((pZip->m_total_files == 0xFFFF) ||
((pZip->m_archive_size + MZ_ZIP_CENTRAL_DIR_HEADER_SIZE +
MZ_ZIP_LOCAL_DIR_HEADER_SIZE) > 0xFFFFFFFF))
return MZ_FALSE;
pState = pZip->m_pState;
if (pState->m_pFile) {
#ifdef MINIZ_NO_STDIO
pFilename;
return MZ_FALSE;
#else
// Archive is being read from stdio - try to reopen as writable.
if (pZip->m_pIO_opaque != pZip) return MZ_FALSE;
if (!pFilename) return MZ_FALSE;
pZip->m_pWrite = mz_zip_file_write_func;
if (NULL ==
(pState->m_pFile = MZ_FREOPEN(pFilename, "r+b", pState->m_pFile))) {
// The mz_zip_archive is now in a bogus state because pState->m_pFile is
// NULL, so just close it.
mz_zip_reader_end(pZip);
return MZ_FALSE;
}
#endif // #ifdef MINIZ_NO_STDIO
} else if (pState->m_pMem) {
// Archive lives in a memory block. Assume it's from the heap that we can
// resize using the realloc callback.
if (pZip->m_pIO_opaque != pZip) return MZ_FALSE;
pState->m_mem_capacity = pState->m_mem_size;
pZip->m_pWrite = mz_zip_heap_write_func;
}
// Archive is being read via a user provided read function - make sure the
// user has specified a write function too.
else if (!pZip->m_pWrite)
return MZ_FALSE;
// Start writing new files at the archive's current central directory
// location.
pZip->m_archive_size = pZip->m_central_directory_file_ofs;
pZip->m_zip_mode = MZ_ZIP_MODE_WRITING;
pZip->m_central_directory_file_ofs = 0;
return MZ_TRUE;
}
mz_bool mz_zip_writer_add_mem(mz_zip_archive *pZip, const char *pArchive_name,
const void *pBuf, size_t buf_size,
mz_uint level_and_flags) {
return mz_zip_writer_add_mem_ex(pZip, pArchive_name, pBuf, buf_size, NULL, 0,
level_and_flags, 0, 0);
}
typedef struct {
mz_zip_archive *m_pZip;
mz_uint64 m_cur_archive_file_ofs;
mz_uint64 m_comp_size;
} mz_zip_writer_add_state;
static mz_bool mz_zip_writer_add_put_buf_callback(const void *pBuf, int len,
void *pUser) {
mz_zip_writer_add_state *pState = (mz_zip_writer_add_state *)pUser;
if ((int)pState->m_pZip->m_pWrite(pState->m_pZip->m_pIO_opaque,
pState->m_cur_archive_file_ofs, pBuf,
len) != len)
return MZ_FALSE;
pState->m_cur_archive_file_ofs += len;
pState->m_comp_size += len;
return MZ_TRUE;
}
static mz_bool mz_zip_writer_create_local_dir_header(
mz_zip_archive *pZip, mz_uint8 *pDst, mz_uint16 filename_size,
mz_uint16 extra_size, mz_uint64 uncomp_size, mz_uint64 comp_size,
mz_uint32 uncomp_crc32, mz_uint16 method, mz_uint16 bit_flags,
mz_uint16 dos_time, mz_uint16 dos_date) {
(void)pZip;
memset(pDst, 0, MZ_ZIP_LOCAL_DIR_HEADER_SIZE);
MZ_WRITE_LE32(pDst + MZ_ZIP_LDH_SIG_OFS, MZ_ZIP_LOCAL_DIR_HEADER_SIG);
MZ_WRITE_LE16(pDst + MZ_ZIP_LDH_VERSION_NEEDED_OFS, method ? 20 : 0);
MZ_WRITE_LE16(pDst + MZ_ZIP_LDH_BIT_FLAG_OFS, bit_flags);
MZ_WRITE_LE16(pDst + MZ_ZIP_LDH_METHOD_OFS, method);
MZ_WRITE_LE16(pDst + MZ_ZIP_LDH_FILE_TIME_OFS, dos_time);
MZ_WRITE_LE16(pDst + MZ_ZIP_LDH_FILE_DATE_OFS, dos_date);
MZ_WRITE_LE32(pDst + MZ_ZIP_LDH_CRC32_OFS, uncomp_crc32);
MZ_WRITE_LE32(pDst + MZ_ZIP_LDH_COMPRESSED_SIZE_OFS, comp_size);
MZ_WRITE_LE32(pDst + MZ_ZIP_LDH_DECOMPRESSED_SIZE_OFS, uncomp_size);
MZ_WRITE_LE16(pDst + MZ_ZIP_LDH_FILENAME_LEN_OFS, filename_size);
MZ_WRITE_LE16(pDst + MZ_ZIP_LDH_EXTRA_LEN_OFS, extra_size);
return MZ_TRUE;
}
static mz_bool mz_zip_writer_create_central_dir_header(
mz_zip_archive *pZip, mz_uint8 *pDst, mz_uint16 filename_size,
mz_uint16 extra_size, mz_uint16 comment_size, mz_uint64 uncomp_size,
mz_uint64 comp_size, mz_uint32 uncomp_crc32, mz_uint16 method,
mz_uint16 bit_flags, mz_uint16 dos_time, mz_uint16 dos_date,
mz_uint64 local_header_ofs, mz_uint32 ext_attributes) {
(void)pZip;
memset(pDst, 0, MZ_ZIP_CENTRAL_DIR_HEADER_SIZE);
MZ_WRITE_LE32(pDst + MZ_ZIP_CDH_SIG_OFS, MZ_ZIP_CENTRAL_DIR_HEADER_SIG);
MZ_WRITE_LE16(pDst + MZ_ZIP_CDH_VERSION_NEEDED_OFS, method ? 20 : 0);
MZ_WRITE_LE16(pDst + MZ_ZIP_CDH_BIT_FLAG_OFS, bit_flags);
MZ_WRITE_LE16(pDst + MZ_ZIP_CDH_METHOD_OFS, method);
MZ_WRITE_LE16(pDst + MZ_ZIP_CDH_FILE_TIME_OFS, dos_time);
MZ_WRITE_LE16(pDst + MZ_ZIP_CDH_FILE_DATE_OFS, dos_date);
MZ_WRITE_LE32(pDst + MZ_ZIP_CDH_CRC32_OFS, uncomp_crc32);
MZ_WRITE_LE32(pDst + MZ_ZIP_CDH_COMPRESSED_SIZE_OFS, comp_size);
MZ_WRITE_LE32(pDst + MZ_ZIP_CDH_DECOMPRESSED_SIZE_OFS, uncomp_size);
MZ_WRITE_LE16(pDst + MZ_ZIP_CDH_FILENAME_LEN_OFS, filename_size);
MZ_WRITE_LE16(pDst + MZ_ZIP_CDH_EXTRA_LEN_OFS, extra_size);
MZ_WRITE_LE16(pDst + MZ_ZIP_CDH_COMMENT_LEN_OFS, comment_size);
MZ_WRITE_LE32(pDst + MZ_ZIP_CDH_EXTERNAL_ATTR_OFS, ext_attributes);
MZ_WRITE_LE32(pDst + MZ_ZIP_CDH_LOCAL_HEADER_OFS, local_header_ofs);
return MZ_TRUE;
}
static mz_bool mz_zip_writer_add_to_central_dir(
mz_zip_archive *pZip, const char *pFilename, mz_uint16 filename_size,
const void *pExtra, mz_uint16 extra_size, const void *pComment,
mz_uint16 comment_size, mz_uint64 uncomp_size, mz_uint64 comp_size,
mz_uint32 uncomp_crc32, mz_uint16 method, mz_uint16 bit_flags,
mz_uint16 dos_time, mz_uint16 dos_date, mz_uint64 local_header_ofs,
mz_uint32 ext_attributes) {
mz_zip_internal_state *pState = pZip->m_pState;
mz_uint32 central_dir_ofs = (mz_uint32)pState->m_central_dir.m_size;
size_t orig_central_dir_size = pState->m_central_dir.m_size;
mz_uint8 central_dir_header[MZ_ZIP_CENTRAL_DIR_HEADER_SIZE];
// No zip64 support yet
if ((local_header_ofs > 0xFFFFFFFF) ||
(((mz_uint64)pState->m_central_dir.m_size +
MZ_ZIP_CENTRAL_DIR_HEADER_SIZE + filename_size + extra_size +
comment_size) > 0xFFFFFFFF))
return MZ_FALSE;
if (!mz_zip_writer_create_central_dir_header(
pZip, central_dir_header, filename_size, extra_size, comment_size,
uncomp_size, comp_size, uncomp_crc32, method, bit_flags, dos_time,
dos_date, local_header_ofs, ext_attributes))
return MZ_FALSE;
if ((!mz_zip_array_push_back(pZip, &pState->m_central_dir, central_dir_header,
MZ_ZIP_CENTRAL_DIR_HEADER_SIZE)) ||
(!mz_zip_array_push_back(pZip, &pState->m_central_dir, pFilename,
filename_size)) ||
(!mz_zip_array_push_back(pZip, &pState->m_central_dir, pExtra,
extra_size)) ||
(!mz_zip_array_push_back(pZip, &pState->m_central_dir, pComment,
comment_size)) ||
(!mz_zip_array_push_back(pZip, &pState->m_central_dir_offsets,
¢ral_dir_ofs, 1))) {
// Try to push the central directory array back into its original state.
mz_zip_array_resize(pZip, &pState->m_central_dir, orig_central_dir_size,
MZ_FALSE);
return MZ_FALSE;
}
return MZ_TRUE;
}
static mz_bool mz_zip_writer_validate_archive_name(const char *pArchive_name) {
// Basic ZIP archive filename validity checks: Valid filenames cannot start
// with a forward slash, cannot contain a drive letter, and cannot use
// DOS-style backward slashes.
if (*pArchive_name == '/') return MZ_FALSE;
while (*pArchive_name) {
if ((*pArchive_name == '\\') || (*pArchive_name == ':')) return MZ_FALSE;
pArchive_name++;
}
return MZ_TRUE;
}
static mz_uint mz_zip_writer_compute_padding_needed_for_file_alignment(
mz_zip_archive *pZip) {
mz_uint32 n;
if (!pZip->m_file_offset_alignment) return 0;
n = (mz_uint32)(pZip->m_archive_size & (pZip->m_file_offset_alignment - 1));
return (pZip->m_file_offset_alignment - n) &
(pZip->m_file_offset_alignment - 1);
}
static mz_bool mz_zip_writer_write_zeros(mz_zip_archive *pZip,
mz_uint64 cur_file_ofs, mz_uint32 n) {
char buf[4096];
memset(buf, 0, MZ_MIN(sizeof(buf), n));
while (n) {
mz_uint32 s = MZ_MIN(sizeof(buf), n);
if (pZip->m_pWrite(pZip->m_pIO_opaque, cur_file_ofs, buf, s) != s)
return MZ_FALSE;
cur_file_ofs += s;
n -= s;
}
return MZ_TRUE;
}
mz_bool mz_zip_writer_add_mem_ex(mz_zip_archive *pZip,
const char *pArchive_name, const void *pBuf,
size_t buf_size, const void *pComment,
mz_uint16 comment_size,
mz_uint level_and_flags, mz_uint64 uncomp_size,
mz_uint32 uncomp_crc32) {
mz_uint16 method = 0, dos_time = 0, dos_date = 0;
mz_uint level, ext_attributes = 0, num_alignment_padding_bytes;
mz_uint64 local_dir_header_ofs = pZip->m_archive_size,
cur_archive_file_ofs = pZip->m_archive_size, comp_size = 0;
size_t archive_name_size;
mz_uint8 local_dir_header[MZ_ZIP_LOCAL_DIR_HEADER_SIZE];
tdefl_compressor *pComp = NULL;
mz_bool store_data_uncompressed;
mz_zip_internal_state *pState;
if ((int)level_and_flags < 0) level_and_flags = MZ_DEFAULT_LEVEL;
level = level_and_flags & 0xF;
store_data_uncompressed =
((!level) || (level_and_flags & MZ_ZIP_FLAG_COMPRESSED_DATA));
if ((!pZip) || (!pZip->m_pState) ||
(pZip->m_zip_mode != MZ_ZIP_MODE_WRITING) || ((buf_size) && (!pBuf)) ||
(!pArchive_name) || ((comment_size) && (!pComment)) ||
(pZip->m_total_files == 0xFFFF) || (level > MZ_UBER_COMPRESSION))
return MZ_FALSE;
pState = pZip->m_pState;
if ((!(level_and_flags & MZ_ZIP_FLAG_COMPRESSED_DATA)) && (uncomp_size))
return MZ_FALSE;
// No zip64 support yet
if ((buf_size > 0xFFFFFFFF) || (uncomp_size > 0xFFFFFFFF)) return MZ_FALSE;
if (!mz_zip_writer_validate_archive_name(pArchive_name)) return MZ_FALSE;
#ifndef MINIZ_NO_TIME
{
time_t cur_time;
time(&cur_time);
mz_zip_time_to_dos_time(cur_time, &dos_time, &dos_date);
}
#endif // #ifndef MINIZ_NO_TIME
archive_name_size = strlen(pArchive_name);
if (archive_name_size > 0xFFFF) return MZ_FALSE;
num_alignment_padding_bytes =
mz_zip_writer_compute_padding_needed_for_file_alignment(pZip);
// no zip64 support yet
if ((pZip->m_total_files == 0xFFFF) ||
((pZip->m_archive_size + num_alignment_padding_bytes +
MZ_ZIP_LOCAL_DIR_HEADER_SIZE + MZ_ZIP_CENTRAL_DIR_HEADER_SIZE +
comment_size + archive_name_size) > 0xFFFFFFFF))
return MZ_FALSE;
if ((archive_name_size) && (pArchive_name[archive_name_size - 1] == '/')) {
// Set DOS Subdirectory attribute bit.
ext_attributes |= 0x10;
// Subdirectories cannot contain data.
if ((buf_size) || (uncomp_size)) return MZ_FALSE;
}
// Try to do any allocations before writing to the archive, so if an
// allocation fails the file remains unmodified. (A good idea if we're doing
// an in-place modification.)
if ((!mz_zip_array_ensure_room(
pZip, &pState->m_central_dir,
MZ_ZIP_CENTRAL_DIR_HEADER_SIZE + archive_name_size + comment_size)) ||
(!mz_zip_array_ensure_room(pZip, &pState->m_central_dir_offsets, 1)))
return MZ_FALSE;
if ((!store_data_uncompressed) && (buf_size)) {
if (NULL == (pComp = (tdefl_compressor *)pZip->m_pAlloc(
pZip->m_pAlloc_opaque, 1, sizeof(tdefl_compressor))))
return MZ_FALSE;
}
if (!mz_zip_writer_write_zeros(
pZip, cur_archive_file_ofs,
num_alignment_padding_bytes + sizeof(local_dir_header))) {
pZip->m_pFree(pZip->m_pAlloc_opaque, pComp);
return MZ_FALSE;
}
local_dir_header_ofs += num_alignment_padding_bytes;
if (pZip->m_file_offset_alignment) {
MZ_ASSERT((local_dir_header_ofs & (pZip->m_file_offset_alignment - 1)) ==
0);
}
cur_archive_file_ofs +=
num_alignment_padding_bytes + sizeof(local_dir_header);
MZ_CLEAR_OBJ(local_dir_header);
if (pZip->m_pWrite(pZip->m_pIO_opaque, cur_archive_file_ofs, pArchive_name,
archive_name_size) != archive_name_size) {
pZip->m_pFree(pZip->m_pAlloc_opaque, pComp);
return MZ_FALSE;
}
cur_archive_file_ofs += archive_name_size;
if (!(level_and_flags & MZ_ZIP_FLAG_COMPRESSED_DATA)) {
uncomp_crc32 =
(mz_uint32)mz_crc32(MZ_CRC32_INIT, (const mz_uint8 *)pBuf, buf_size);
uncomp_size = buf_size;
if (uncomp_size <= 3) {
level = 0;
store_data_uncompressed = MZ_TRUE;
}
}
if (store_data_uncompressed) {
if (pZip->m_pWrite(pZip->m_pIO_opaque, cur_archive_file_ofs, pBuf,
buf_size) != buf_size) {
pZip->m_pFree(pZip->m_pAlloc_opaque, pComp);
return MZ_FALSE;
}
cur_archive_file_ofs += buf_size;
comp_size = buf_size;
if (level_and_flags & MZ_ZIP_FLAG_COMPRESSED_DATA) method = MZ_DEFLATED;
} else if (buf_size) {
mz_zip_writer_add_state state;
state.m_pZip = pZip;
state.m_cur_archive_file_ofs = cur_archive_file_ofs;
state.m_comp_size = 0;
if ((tdefl_init(pComp, mz_zip_writer_add_put_buf_callback, &state,
tdefl_create_comp_flags_from_zip_params(
level, -15, MZ_DEFAULT_STRATEGY)) !=
TDEFL_STATUS_OKAY) ||
(tdefl_compress_buffer(pComp, pBuf, buf_size, TDEFL_FINISH) !=
TDEFL_STATUS_DONE)) {
pZip->m_pFree(pZip->m_pAlloc_opaque, pComp);
return MZ_FALSE;
}
comp_size = state.m_comp_size;
cur_archive_file_ofs = state.m_cur_archive_file_ofs;
method = MZ_DEFLATED;
}
pZip->m_pFree(pZip->m_pAlloc_opaque, pComp);
pComp = NULL;
// no zip64 support yet
if ((comp_size > 0xFFFFFFFF) || (cur_archive_file_ofs > 0xFFFFFFFF))
return MZ_FALSE;
if (!mz_zip_writer_create_local_dir_header(
pZip, local_dir_header, (mz_uint16)archive_name_size, 0, uncomp_size,
comp_size, uncomp_crc32, method, 0, dos_time, dos_date))
return MZ_FALSE;
if (pZip->m_pWrite(pZip->m_pIO_opaque, local_dir_header_ofs, local_dir_header,
sizeof(local_dir_header)) != sizeof(local_dir_header))
return MZ_FALSE;
if (!mz_zip_writer_add_to_central_dir(
pZip, pArchive_name, (mz_uint16)archive_name_size, NULL, 0, pComment,
comment_size, uncomp_size, comp_size, uncomp_crc32, method, 0,
dos_time, dos_date, local_dir_header_ofs, ext_attributes))
return MZ_FALSE;
pZip->m_total_files++;
pZip->m_archive_size = cur_archive_file_ofs;
return MZ_TRUE;
}
#ifndef MINIZ_NO_STDIO
mz_bool mz_zip_writer_add_file(mz_zip_archive *pZip, const char *pArchive_name,
const char *pSrc_filename, const void *pComment,
mz_uint16 comment_size,
mz_uint level_and_flags) {
mz_uint uncomp_crc32 = MZ_CRC32_INIT, level, num_alignment_padding_bytes;
mz_uint16 method = 0, dos_time = 0, dos_date = 0, ext_attributes = 0;
mz_uint64 local_dir_header_ofs = pZip->m_archive_size,
cur_archive_file_ofs = pZip->m_archive_size, uncomp_size = 0,
comp_size = 0;
size_t archive_name_size;
mz_uint8 local_dir_header[MZ_ZIP_LOCAL_DIR_HEADER_SIZE];
MZ_FILE *pSrc_file = NULL;
if ((int)level_and_flags < 0) level_and_flags = MZ_DEFAULT_LEVEL;
level = level_and_flags & 0xF;
if ((!pZip) || (!pZip->m_pState) ||
(pZip->m_zip_mode != MZ_ZIP_MODE_WRITING) || (!pArchive_name) ||
((comment_size) && (!pComment)) || (level > MZ_UBER_COMPRESSION))
return MZ_FALSE;
if (level_and_flags & MZ_ZIP_FLAG_COMPRESSED_DATA) return MZ_FALSE;
if (!mz_zip_writer_validate_archive_name(pArchive_name)) return MZ_FALSE;
archive_name_size = strlen(pArchive_name);
if (archive_name_size > 0xFFFF) return MZ_FALSE;
num_alignment_padding_bytes =
mz_zip_writer_compute_padding_needed_for_file_alignment(pZip);
// no zip64 support yet
if ((pZip->m_total_files == 0xFFFF) ||
((pZip->m_archive_size + num_alignment_padding_bytes +
MZ_ZIP_LOCAL_DIR_HEADER_SIZE + MZ_ZIP_CENTRAL_DIR_HEADER_SIZE +
comment_size + archive_name_size) > 0xFFFFFFFF))
return MZ_FALSE;
if (!mz_zip_get_file_modified_time(pSrc_filename, &dos_time, &dos_date))
return MZ_FALSE;
pSrc_file = MZ_FOPEN(pSrc_filename, "rb");
if (!pSrc_file) return MZ_FALSE;
MZ_FSEEK64(pSrc_file, 0, SEEK_END);
uncomp_size = MZ_FTELL64(pSrc_file);
MZ_FSEEK64(pSrc_file, 0, SEEK_SET);
if (uncomp_size > 0xFFFFFFFF) {
// No zip64 support yet
MZ_FCLOSE(pSrc_file);
return MZ_FALSE;
}
if (uncomp_size <= 3) level = 0;
if (!mz_zip_writer_write_zeros(
pZip, cur_archive_file_ofs,
num_alignment_padding_bytes + sizeof(local_dir_header))) {
MZ_FCLOSE(pSrc_file);
return MZ_FALSE;
}
local_dir_header_ofs += num_alignment_padding_bytes;
if (pZip->m_file_offset_alignment) {
MZ_ASSERT((local_dir_header_ofs & (pZip->m_file_offset_alignment - 1)) ==
0);
}
cur_archive_file_ofs +=
num_alignment_padding_bytes + sizeof(local_dir_header);
MZ_CLEAR_OBJ(local_dir_header);
if (pZip->m_pWrite(pZip->m_pIO_opaque, cur_archive_file_ofs, pArchive_name,
archive_name_size) != archive_name_size) {
MZ_FCLOSE(pSrc_file);
return MZ_FALSE;
}
cur_archive_file_ofs += archive_name_size;
if (uncomp_size) {
mz_uint64 uncomp_remaining = uncomp_size;
void *pRead_buf =
pZip->m_pAlloc(pZip->m_pAlloc_opaque, 1, MZ_ZIP_MAX_IO_BUF_SIZE);
if (!pRead_buf) {
MZ_FCLOSE(pSrc_file);
return MZ_FALSE;
}
if (!level) {
while (uncomp_remaining) {
mz_uint n =
(mz_uint)MZ_MIN((mz_uint)MZ_ZIP_MAX_IO_BUF_SIZE, uncomp_remaining);
if ((MZ_FREAD(pRead_buf, 1, n, pSrc_file) != n) ||
(pZip->m_pWrite(pZip->m_pIO_opaque, cur_archive_file_ofs, pRead_buf,
n) != n)) {
pZip->m_pFree(pZip->m_pAlloc_opaque, pRead_buf);
MZ_FCLOSE(pSrc_file);
return MZ_FALSE;
}
uncomp_crc32 =
(mz_uint32)mz_crc32(uncomp_crc32, (const mz_uint8 *)pRead_buf, n);
uncomp_remaining -= n;
cur_archive_file_ofs += n;
}
comp_size = uncomp_size;
} else {
mz_bool result = MZ_FALSE;
mz_zip_writer_add_state state;
tdefl_compressor *pComp = (tdefl_compressor *)pZip->m_pAlloc(
pZip->m_pAlloc_opaque, 1, sizeof(tdefl_compressor));
if (!pComp) {
pZip->m_pFree(pZip->m_pAlloc_opaque, pRead_buf);
MZ_FCLOSE(pSrc_file);
return MZ_FALSE;
}
state.m_pZip = pZip;
state.m_cur_archive_file_ofs = cur_archive_file_ofs;
state.m_comp_size = 0;
if (tdefl_init(pComp, mz_zip_writer_add_put_buf_callback, &state,
tdefl_create_comp_flags_from_zip_params(
level, -15, MZ_DEFAULT_STRATEGY)) !=
TDEFL_STATUS_OKAY) {
pZip->m_pFree(pZip->m_pAlloc_opaque, pComp);
pZip->m_pFree(pZip->m_pAlloc_opaque, pRead_buf);
MZ_FCLOSE(pSrc_file);
return MZ_FALSE;
}
for (;;) {
size_t in_buf_size = (mz_uint32)MZ_MIN(uncomp_remaining,
(mz_uint)MZ_ZIP_MAX_IO_BUF_SIZE);
tdefl_status status;
if (MZ_FREAD(pRead_buf, 1, in_buf_size, pSrc_file) != in_buf_size)
break;
uncomp_crc32 = (mz_uint32)mz_crc32(
uncomp_crc32, (const mz_uint8 *)pRead_buf, in_buf_size);
uncomp_remaining -= in_buf_size;
status = tdefl_compress_buffer(
pComp, pRead_buf, in_buf_size,
uncomp_remaining ? TDEFL_NO_FLUSH : TDEFL_FINISH);
if (status == TDEFL_STATUS_DONE) {
result = MZ_TRUE;
break;
} else if (status != TDEFL_STATUS_OKAY)
break;
}
pZip->m_pFree(pZip->m_pAlloc_opaque, pComp);
if (!result) {
pZip->m_pFree(pZip->m_pAlloc_opaque, pRead_buf);
MZ_FCLOSE(pSrc_file);
return MZ_FALSE;
}
comp_size = state.m_comp_size;
cur_archive_file_ofs = state.m_cur_archive_file_ofs;
method = MZ_DEFLATED;
}
pZip->m_pFree(pZip->m_pAlloc_opaque, pRead_buf);
}
MZ_FCLOSE(pSrc_file);
pSrc_file = NULL;
// no zip64 support yet
if ((comp_size > 0xFFFFFFFF) || (cur_archive_file_ofs > 0xFFFFFFFF))
return MZ_FALSE;
if (!mz_zip_writer_create_local_dir_header(
pZip, local_dir_header, (mz_uint16)archive_name_size, 0, uncomp_size,
comp_size, uncomp_crc32, method, 0, dos_time, dos_date))
return MZ_FALSE;
if (pZip->m_pWrite(pZip->m_pIO_opaque, local_dir_header_ofs, local_dir_header,
sizeof(local_dir_header)) != sizeof(local_dir_header))
return MZ_FALSE;
if (!mz_zip_writer_add_to_central_dir(
pZip, pArchive_name, (mz_uint16)archive_name_size, NULL, 0, pComment,
comment_size, uncomp_size, comp_size, uncomp_crc32, method, 0,
dos_time, dos_date, local_dir_header_ofs, ext_attributes))
return MZ_FALSE;
pZip->m_total_files++;
pZip->m_archive_size = cur_archive_file_ofs;
return MZ_TRUE;
}
#endif // #ifndef MINIZ_NO_STDIO
mz_bool mz_zip_writer_add_from_zip_reader(mz_zip_archive *pZip,
mz_zip_archive *pSource_zip,
mz_uint file_index) {
mz_uint n, bit_flags, num_alignment_padding_bytes;
mz_uint64 comp_bytes_remaining, local_dir_header_ofs;
mz_uint64 cur_src_file_ofs, cur_dst_file_ofs;
mz_uint32
local_header_u32[(MZ_ZIP_LOCAL_DIR_HEADER_SIZE + sizeof(mz_uint32) - 1) /
sizeof(mz_uint32)];
mz_uint8 *pLocal_header = (mz_uint8 *)local_header_u32;
mz_uint8 central_header[MZ_ZIP_CENTRAL_DIR_HEADER_SIZE];
size_t orig_central_dir_size;
mz_zip_internal_state *pState;
void *pBuf;
const mz_uint8 *pSrc_central_header;
if ((!pZip) || (!pZip->m_pState) || (pZip->m_zip_mode != MZ_ZIP_MODE_WRITING))
return MZ_FALSE;
if (NULL ==
(pSrc_central_header = mz_zip_reader_get_cdh(pSource_zip, file_index)))
return MZ_FALSE;
pState = pZip->m_pState;
num_alignment_padding_bytes =
mz_zip_writer_compute_padding_needed_for_file_alignment(pZip);
// no zip64 support yet
if ((pZip->m_total_files == 0xFFFF) ||
((pZip->m_archive_size + num_alignment_padding_bytes +
MZ_ZIP_LOCAL_DIR_HEADER_SIZE + MZ_ZIP_CENTRAL_DIR_HEADER_SIZE) >
0xFFFFFFFF))
return MZ_FALSE;
cur_src_file_ofs =
MZ_READ_LE32(pSrc_central_header + MZ_ZIP_CDH_LOCAL_HEADER_OFS);
cur_dst_file_ofs = pZip->m_archive_size;
if (pSource_zip->m_pRead(pSource_zip->m_pIO_opaque, cur_src_file_ofs,
pLocal_header, MZ_ZIP_LOCAL_DIR_HEADER_SIZE) !=
MZ_ZIP_LOCAL_DIR_HEADER_SIZE)
return MZ_FALSE;
if (MZ_READ_LE32(pLocal_header) != MZ_ZIP_LOCAL_DIR_HEADER_SIG)
return MZ_FALSE;
cur_src_file_ofs += MZ_ZIP_LOCAL_DIR_HEADER_SIZE;
if (!mz_zip_writer_write_zeros(pZip, cur_dst_file_ofs,
num_alignment_padding_bytes))
return MZ_FALSE;
cur_dst_file_ofs += num_alignment_padding_bytes;
local_dir_header_ofs = cur_dst_file_ofs;
if (pZip->m_file_offset_alignment) {
MZ_ASSERT((local_dir_header_ofs & (pZip->m_file_offset_alignment - 1)) ==
0);
}
if (pZip->m_pWrite(pZip->m_pIO_opaque, cur_dst_file_ofs, pLocal_header,
MZ_ZIP_LOCAL_DIR_HEADER_SIZE) !=
MZ_ZIP_LOCAL_DIR_HEADER_SIZE)
return MZ_FALSE;
cur_dst_file_ofs += MZ_ZIP_LOCAL_DIR_HEADER_SIZE;
n = MZ_READ_LE16(pLocal_header + MZ_ZIP_LDH_FILENAME_LEN_OFS) +
MZ_READ_LE16(pLocal_header + MZ_ZIP_LDH_EXTRA_LEN_OFS);
comp_bytes_remaining =
n + MZ_READ_LE32(pSrc_central_header + MZ_ZIP_CDH_COMPRESSED_SIZE_OFS);
if (NULL == (pBuf = pZip->m_pAlloc(
pZip->m_pAlloc_opaque, 1,
(size_t)MZ_MAX(sizeof(mz_uint32) * 4,
MZ_MIN((mz_uint)MZ_ZIP_MAX_IO_BUF_SIZE,
comp_bytes_remaining)))))
return MZ_FALSE;
while (comp_bytes_remaining) {
n = (mz_uint)MZ_MIN((mz_uint)MZ_ZIP_MAX_IO_BUF_SIZE, comp_bytes_remaining);
if (pSource_zip->m_pRead(pSource_zip->m_pIO_opaque, cur_src_file_ofs, pBuf,
n) != n) {
pZip->m_pFree(pZip->m_pAlloc_opaque, pBuf);
return MZ_FALSE;
}
cur_src_file_ofs += n;
if (pZip->m_pWrite(pZip->m_pIO_opaque, cur_dst_file_ofs, pBuf, n) != n) {
pZip->m_pFree(pZip->m_pAlloc_opaque, pBuf);
return MZ_FALSE;
}
cur_dst_file_ofs += n;
comp_bytes_remaining -= n;
}
bit_flags = MZ_READ_LE16(pLocal_header + MZ_ZIP_LDH_BIT_FLAG_OFS);
if (bit_flags & 8) {
// Copy data descriptor
if (pSource_zip->m_pRead(pSource_zip->m_pIO_opaque, cur_src_file_ofs, pBuf,
sizeof(mz_uint32) * 4) != sizeof(mz_uint32) * 4) {
pZip->m_pFree(pZip->m_pAlloc_opaque, pBuf);
return MZ_FALSE;
}
n = sizeof(mz_uint32) * ((MZ_READ_LE32(pBuf) == 0x08074b50) ? 4 : 3);
if (pZip->m_pWrite(pZip->m_pIO_opaque, cur_dst_file_ofs, pBuf, n) != n) {
pZip->m_pFree(pZip->m_pAlloc_opaque, pBuf);
return MZ_FALSE;
}
cur_src_file_ofs += n;
cur_dst_file_ofs += n;
}
pZip->m_pFree(pZip->m_pAlloc_opaque, pBuf);
// no zip64 support yet
if (cur_dst_file_ofs > 0xFFFFFFFF) return MZ_FALSE;
orig_central_dir_size = pState->m_central_dir.m_size;
memcpy(central_header, pSrc_central_header, MZ_ZIP_CENTRAL_DIR_HEADER_SIZE);
MZ_WRITE_LE32(central_header + MZ_ZIP_CDH_LOCAL_HEADER_OFS,
local_dir_header_ofs);
if (!mz_zip_array_push_back(pZip, &pState->m_central_dir, central_header,
MZ_ZIP_CENTRAL_DIR_HEADER_SIZE))
return MZ_FALSE;
n = MZ_READ_LE16(pSrc_central_header + MZ_ZIP_CDH_FILENAME_LEN_OFS) +
MZ_READ_LE16(pSrc_central_header + MZ_ZIP_CDH_EXTRA_LEN_OFS) +
MZ_READ_LE16(pSrc_central_header + MZ_ZIP_CDH_COMMENT_LEN_OFS);
if (!mz_zip_array_push_back(
pZip, &pState->m_central_dir,
pSrc_central_header + MZ_ZIP_CENTRAL_DIR_HEADER_SIZE, n)) {
mz_zip_array_resize(pZip, &pState->m_central_dir, orig_central_dir_size,
MZ_FALSE);
return MZ_FALSE;
}
if (pState->m_central_dir.m_size > 0xFFFFFFFF) return MZ_FALSE;
n = (mz_uint32)orig_central_dir_size;
if (!mz_zip_array_push_back(pZip, &pState->m_central_dir_offsets, &n, 1)) {
mz_zip_array_resize(pZip, &pState->m_central_dir, orig_central_dir_size,
MZ_FALSE);
return MZ_FALSE;
}
pZip->m_total_files++;
pZip->m_archive_size = cur_dst_file_ofs;
return MZ_TRUE;
}
mz_bool mz_zip_writer_finalize_archive(mz_zip_archive *pZip) {
mz_zip_internal_state *pState;
mz_uint64 central_dir_ofs, central_dir_size;
mz_uint8 hdr[MZ_ZIP_END_OF_CENTRAL_DIR_HEADER_SIZE];
if ((!pZip) || (!pZip->m_pState) || (pZip->m_zip_mode != MZ_ZIP_MODE_WRITING))
return MZ_FALSE;
pState = pZip->m_pState;
// no zip64 support yet
if ((pZip->m_total_files > 0xFFFF) ||
((pZip->m_archive_size + pState->m_central_dir.m_size +
MZ_ZIP_END_OF_CENTRAL_DIR_HEADER_SIZE) > 0xFFFFFFFF))
return MZ_FALSE;
central_dir_ofs = 0;
central_dir_size = 0;
if (pZip->m_total_files) {
// Write central directory
central_dir_ofs = pZip->m_archive_size;
central_dir_size = pState->m_central_dir.m_size;
pZip->m_central_directory_file_ofs = central_dir_ofs;
if (pZip->m_pWrite(pZip->m_pIO_opaque, central_dir_ofs,
pState->m_central_dir.m_p,
(size_t)central_dir_size) != central_dir_size)
return MZ_FALSE;
pZip->m_archive_size += central_dir_size;
}
// Write end of central directory record
MZ_CLEAR_OBJ(hdr);
MZ_WRITE_LE32(hdr + MZ_ZIP_ECDH_SIG_OFS,
MZ_ZIP_END_OF_CENTRAL_DIR_HEADER_SIG);
MZ_WRITE_LE16(hdr + MZ_ZIP_ECDH_CDIR_NUM_ENTRIES_ON_DISK_OFS,
pZip->m_total_files);
MZ_WRITE_LE16(hdr + MZ_ZIP_ECDH_CDIR_TOTAL_ENTRIES_OFS, pZip->m_total_files);
MZ_WRITE_LE32(hdr + MZ_ZIP_ECDH_CDIR_SIZE_OFS, central_dir_size);
MZ_WRITE_LE32(hdr + MZ_ZIP_ECDH_CDIR_OFS_OFS, central_dir_ofs);
if (pZip->m_pWrite(pZip->m_pIO_opaque, pZip->m_archive_size, hdr,
sizeof(hdr)) != sizeof(hdr))
return MZ_FALSE;
#ifndef MINIZ_NO_STDIO
if ((pState->m_pFile) && (MZ_FFLUSH(pState->m_pFile) == EOF)) return MZ_FALSE;
#endif // #ifndef MINIZ_NO_STDIO
pZip->m_archive_size += sizeof(hdr);
pZip->m_zip_mode = MZ_ZIP_MODE_WRITING_HAS_BEEN_FINALIZED;
return MZ_TRUE;
}
mz_bool mz_zip_writer_finalize_heap_archive(mz_zip_archive *pZip, void **pBuf,
size_t *pSize) {
if ((!pZip) || (!pZip->m_pState) || (!pBuf) || (!pSize)) return MZ_FALSE;
if (pZip->m_pWrite != mz_zip_heap_write_func) return MZ_FALSE;
if (!mz_zip_writer_finalize_archive(pZip)) return MZ_FALSE;
*pBuf = pZip->m_pState->m_pMem;
*pSize = pZip->m_pState->m_mem_size;
pZip->m_pState->m_pMem = NULL;
pZip->m_pState->m_mem_size = pZip->m_pState->m_mem_capacity = 0;
return MZ_TRUE;
}
mz_bool mz_zip_writer_end(mz_zip_archive *pZip) {
mz_zip_internal_state *pState;
mz_bool status = MZ_TRUE;
if ((!pZip) || (!pZip->m_pState) || (!pZip->m_pAlloc) || (!pZip->m_pFree) ||
((pZip->m_zip_mode != MZ_ZIP_MODE_WRITING) &&
(pZip->m_zip_mode != MZ_ZIP_MODE_WRITING_HAS_BEEN_FINALIZED)))
return MZ_FALSE;
pState = pZip->m_pState;
pZip->m_pState = NULL;
mz_zip_array_clear(pZip, &pState->m_central_dir);
mz_zip_array_clear(pZip, &pState->m_central_dir_offsets);
mz_zip_array_clear(pZip, &pState->m_sorted_central_dir_offsets);
#ifndef MINIZ_NO_STDIO
if (pState->m_pFile) {
MZ_FCLOSE(pState->m_pFile);
pState->m_pFile = NULL;
}
#endif // #ifndef MINIZ_NO_STDIO
if ((pZip->m_pWrite == mz_zip_heap_write_func) && (pState->m_pMem)) {
pZip->m_pFree(pZip->m_pAlloc_opaque, pState->m_pMem);
pState->m_pMem = NULL;
}
pZip->m_pFree(pZip->m_pAlloc_opaque, pState);
pZip->m_zip_mode = MZ_ZIP_MODE_INVALID;
return status;
}
#ifndef MINIZ_NO_STDIO
mz_bool mz_zip_add_mem_to_archive_file_in_place(
const char *pZip_filename, const char *pArchive_name, const void *pBuf,
size_t buf_size, const void *pComment, mz_uint16 comment_size,
mz_uint level_and_flags) {
mz_bool status, created_new_archive = MZ_FALSE;
mz_zip_archive zip_archive;
struct MZ_FILE_STAT_STRUCT file_stat;
MZ_CLEAR_OBJ(zip_archive);
if ((int)level_and_flags < 0) level_and_flags = MZ_DEFAULT_LEVEL;
if ((!pZip_filename) || (!pArchive_name) || ((buf_size) && (!pBuf)) ||
((comment_size) && (!pComment)) ||
((level_and_flags & 0xF) > MZ_UBER_COMPRESSION))
return MZ_FALSE;
if (!mz_zip_writer_validate_archive_name(pArchive_name)) return MZ_FALSE;
if (MZ_FILE_STAT(pZip_filename, &file_stat) != 0) {
// Create a new archive.
if (!mz_zip_writer_init_file(&zip_archive, pZip_filename, 0))
return MZ_FALSE;
created_new_archive = MZ_TRUE;
} else {
// Append to an existing archive.
if (!mz_zip_reader_init_file(
&zip_archive, pZip_filename,
level_and_flags | MZ_ZIP_FLAG_DO_NOT_SORT_CENTRAL_DIRECTORY))
return MZ_FALSE;
if (!mz_zip_writer_init_from_reader(&zip_archive, pZip_filename)) {
mz_zip_reader_end(&zip_archive);
return MZ_FALSE;
}
}
status =
mz_zip_writer_add_mem_ex(&zip_archive, pArchive_name, pBuf, buf_size,
pComment, comment_size, level_and_flags, 0, 0);
// Always finalize, even if adding failed for some reason, so we have a valid
// central directory. (This may not always succeed, but we can try.)
if (!mz_zip_writer_finalize_archive(&zip_archive)) status = MZ_FALSE;
if (!mz_zip_writer_end(&zip_archive)) status = MZ_FALSE;
if ((!status) && (created_new_archive)) {
// It's a new archive and something went wrong, so just delete it.
int ignoredStatus = MZ_DELETE_FILE(pZip_filename);
(void)ignoredStatus;
}
return status;
}
void *mz_zip_extract_archive_file_to_heap(const char *pZip_filename,
const char *pArchive_name,
size_t *pSize, mz_uint flags) {
int file_index;
mz_zip_archive zip_archive;
void *p = NULL;
if (pSize) *pSize = 0;
if ((!pZip_filename) || (!pArchive_name)) return NULL;
MZ_CLEAR_OBJ(zip_archive);
if (!mz_zip_reader_init_file(
&zip_archive, pZip_filename,
flags | MZ_ZIP_FLAG_DO_NOT_SORT_CENTRAL_DIRECTORY))
return NULL;
if ((file_index = mz_zip_reader_locate_file(&zip_archive, pArchive_name, NULL,
flags)) >= 0)
p = mz_zip_reader_extract_to_heap(&zip_archive, file_index, pSize, flags);
mz_zip_reader_end(&zip_archive);
return p;
}
#endif // #ifndef MINIZ_NO_STDIO
#endif // #ifndef MINIZ_NO_ARCHIVE_WRITING_APIS
#endif // #ifndef MINIZ_NO_ARCHIVE_APIS
#ifdef __cplusplus
}
#endif
#endif // MINIZ_HEADER_FILE_ONLY
/*
This is free and unencumbered software released into the public domain.
Anyone is free to copy, modify, publish, use, compile, sell, or
distribute this software, either in source code form or as a compiled
binary, for any purpose, commercial or non-commercial, and by any
means.
In jurisdictions that recognize copyright laws, the author or authors
of this software dedicate any and all copyright interest in the
software to the public domain. We make this dedication for the benefit
of the public at large and to the detriment of our heirs and
successors. We intend this dedication to be an overt act of
relinquishment in perpetuity of all present and future rights to this
software under copyright law.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
IN NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANY CLAIM, DAMAGES OR
OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE,
ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
OTHER DEALINGS IN THE SOFTWARE.
For more information, please refer to <http://unlicense.org/>
*/
// ---------------------- end of miniz ----------------------------------------
}
#else
// Reuse MINIZ_LITTE_ENDIAN macro
#if defined(__sparcv9)
// Big endian
#else
#if (__BYTE_ORDER__ == __ORDER_LITTLE_ENDIAN__) || MINIZ_X86_OR_X64_CPU
// Set MINIZ_LITTLE_ENDIAN to 1 if the processor is little endian.
#define MINIZ_LITTLE_ENDIAN 1
#endif
#endif
#endif // TINYEXR_USE_MINIZ
// static bool IsBigEndian(void) {
// union {
// unsigned int i;
// char c[4];
// } bint = {0x01020304};
//
// return bint.c[0] == 1;
//}
static void swap2(unsigned short *val) {
#ifdef MINIZ_LITTLE_ENDIAN
(void)val;
#else
unsigned short tmp = *val;
unsigned char *dst = reinterpret_cast<unsigned char *>(val);
unsigned char *src = reinterpret_cast<unsigned char *>(&tmp);
dst[0] = src[1];
dst[1] = src[0];
#endif
}
static void swap4(unsigned int *val) {
#ifdef MINIZ_LITTLE_ENDIAN
(void)val;
#else
unsigned int tmp = *val;
unsigned char *dst = reinterpret_cast<unsigned char *>(val);
unsigned char *src = reinterpret_cast<unsigned char *>(&tmp);
dst[0] = src[3];
dst[1] = src[2];
dst[2] = src[1];
dst[3] = src[0];
#endif
}
static void swap8(unsigned long long *val) {
#ifdef MINIZ_LITTLE_ENDIAN
(void)val;
#else
unsigned long long tmp = (*val);
unsigned char *dst = reinterpret_cast<unsigned char *>(val);
unsigned char *src = reinterpret_cast<unsigned char *>(&tmp);
dst[0] = src[7];
dst[1] = src[6];
dst[2] = src[5];
dst[3] = src[4];
dst[4] = src[3];
dst[5] = src[2];
dst[6] = src[1];
dst[7] = src[0];
#endif
}
// https://gist.github.com/rygorous/2156668
// Reuse MINIZ_LITTLE_ENDIAN flag from miniz.
union FP32 {
unsigned int u;
float f;
struct {
#if MINIZ_LITTLE_ENDIAN
unsigned int Mantissa : 23;
unsigned int Exponent : 8;
unsigned int Sign : 1;
#else
unsigned int Sign : 1;
unsigned int Exponent : 8;
unsigned int Mantissa : 23;
#endif
} s;
};
union FP16 {
unsigned short u;
struct {
#if MINIZ_LITTLE_ENDIAN
unsigned int Mantissa : 10;
unsigned int Exponent : 5;
unsigned int Sign : 1;
#else
unsigned int Sign : 1;
unsigned int Exponent : 5;
unsigned int Mantissa : 10;
#endif
} s;
};
static FP32 half_to_float(FP16 h) {
static const FP32 magic = {113 << 23};
static const unsigned int shifted_exp = 0x7c00
<< 13; // exponent mask after shift
FP32 o;
o.u = (h.u & 0x7fffU) << 13U; // exponent/mantissa bits
unsigned int exp_ = shifted_exp & o.u; // just the exponent
o.u += (127 - 15) << 23; // exponent adjust
// handle exponent special cases
if (exp_ == shifted_exp) // Inf/NaN?
o.u += (128 - 16) << 23; // extra exp adjust
else if (exp_ == 0) // Zero/Denormal?
{
o.u += 1 << 23; // extra exp adjust
o.f -= magic.f; // renormalize
}
o.u |= (h.u & 0x8000U) << 16U; // sign bit
return o;
}
static FP16 float_to_half_full(FP32 f) {
FP16 o = {0};
// Based on ISPC reference code (with minor modifications)
if (f.s.Exponent == 0) // Signed zero/denormal (which will underflow)
o.s.Exponent = 0;
else if (f.s.Exponent == 255) // Inf or NaN (all exponent bits set)
{
o.s.Exponent = 31;
o.s.Mantissa = f.s.Mantissa ? 0x200 : 0; // NaN->qNaN and Inf->Inf
} else // Normalized number
{
// Exponent unbias the single, then bias the halfp
int newexp = f.s.Exponent - 127 + 15;
if (newexp >= 31) // Overflow, return signed infinity
o.s.Exponent = 31;
else if (newexp <= 0) // Underflow
{
if ((14 - newexp) <= 24) // Mantissa might be non-zero
{
unsigned int mant = f.s.Mantissa | 0x800000; // Hidden 1 bit
o.s.Mantissa = mant >> (14 - newexp);
if ((mant >> (13 - newexp)) & 1) // Check for rounding
o.u++; // Round, might overflow into exp bit, but this is OK
}
} else {
o.s.Exponent = static_cast<unsigned int>(newexp);
o.s.Mantissa = f.s.Mantissa >> 13;
if (f.s.Mantissa & 0x1000) // Check for rounding
o.u++; // Round, might overflow to inf, this is OK
}
}
o.s.Sign = f.s.Sign;
return o;
}
// NOTE: From OpenEXR code
// #define IMF_INCREASING_Y 0
// #define IMF_DECREASING_Y 1
// #define IMF_RAMDOM_Y 2
//
// #define IMF_NO_COMPRESSION 0
// #define IMF_RLE_COMPRESSION 1
// #define IMF_ZIPS_COMPRESSION 2
// #define IMF_ZIP_COMPRESSION 3
// #define IMF_PIZ_COMPRESSION 4
// #define IMF_PXR24_COMPRESSION 5
// #define IMF_B44_COMPRESSION 6
// #define IMF_B44A_COMPRESSION 7
static const char *ReadString(std::string *s, const char *ptr) {
// Read untile NULL(\0).
const char *p = ptr;
const char *q = ptr;
while ((*q) != 0) q++;
(*s) = std::string(p, q);
return q + 1; // skip '\0'
}
static const char *ReadAttribute(std::string *name, std::string *ty,
std::vector<unsigned char> *data,
const char *ptr) {
if ((*ptr) == 0) {
// end of attribute.
return NULL;
}
const char *p = ReadString(name, ptr);
p = ReadString(ty, p);
int data_len;
memcpy(&data_len, p, sizeof(int));
p += 4;
tinyexr::swap4(reinterpret_cast<unsigned int *>(&data_len));
data->resize(static_cast<size_t>(data_len));
memcpy(&data->at(0), p, static_cast<size_t>(data_len));
p += data_len;
return p;
}
static void WriteAttributeToMemory(std::vector<unsigned char> *out,
const char *name, const char *type,
const unsigned char *data, int len) {
out->insert(out->end(), name, name + strlen(name) + 1);
out->insert(out->end(), type, type + strlen(type) + 1);
int outLen = len;
tinyexr::swap4(reinterpret_cast<unsigned int *>(&outLen));
out->insert(out->end(), reinterpret_cast<unsigned char *>(&outLen),
reinterpret_cast<unsigned char *>(&outLen) + sizeof(int));
out->insert(out->end(), data, data + len);
}
typedef struct {
std::string name; // less than 255 bytes long
int pixel_type;
unsigned char p_linear;
int x_sampling;
int y_sampling;
} ChannelInfo;
struct HeaderInfo {
std::vector<tinyexr::ChannelInfo> channels;
std::vector<EXRAttribute> attributes;
int data_window[4];
int line_order;
int display_window[4];
float screen_window_center[2];
float screen_window_width;
float pixel_aspect_ratio;
int chunk_count;
// Tiled format
int tile_size_x;
int tile_size_y;
int tile_level_mode;
int tile_rounding_mode;
unsigned int header_len;
int compression_type;
void clear() {
channels.clear();
attributes.clear();
data_window[0] = 0;
data_window[1] = 0;
data_window[2] = 0;
data_window[3] = 0;
line_order = 0;
display_window[0] = 0;
display_window[1] = 0;
display_window[2] = 0;
display_window[3] = 0;
screen_window_center[0] = 0.0f;
screen_window_center[1] = 0.0f;
screen_window_width = 0.0f;
pixel_aspect_ratio = 0.0f;
chunk_count = 0;
// Tiled format
tile_size_x = 0;
tile_size_y = 0;
tile_level_mode = 0;
tile_rounding_mode = 0;
header_len = 0;
compression_type = 0;
}
};
static void ReadChannelInfo(std::vector<ChannelInfo> &channels,
const std::vector<unsigned char> &data) {
const char *p = reinterpret_cast<const char *>(&data.at(0));
for (;;) {
if ((*p) == 0) {
break;
}
ChannelInfo info;
p = ReadString(&info.name, p);
memcpy(&info.pixel_type, p, sizeof(int));
p += 4;
info.p_linear = static_cast<unsigned char>(p[0]); // uchar
p += 1 + 3; // reserved: uchar[3]
memcpy(&info.x_sampling, p, sizeof(int)); // int
p += 4;
memcpy(&info.y_sampling, p, sizeof(int)); // int
p += 4;
tinyexr::swap4(reinterpret_cast<unsigned int *>(&info.pixel_type));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&info.x_sampling));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&info.y_sampling));
channels.push_back(info);
}
}
static void WriteChannelInfo(std::vector<unsigned char> &data,
const std::vector<ChannelInfo> &channels) {
size_t sz = 0;
// Calculate total size.
for (size_t c = 0; c < channels.size(); c++) {
sz += strlen(channels[c].name.c_str()) + 1; // +1 for \0
sz += 16; // 4 * int
}
data.resize(sz + 1);
unsigned char *p = &data.at(0);
for (size_t c = 0; c < channels.size(); c++) {
memcpy(p, channels[c].name.c_str(), strlen(channels[c].name.c_str()));
p += strlen(channels[c].name.c_str());
(*p) = '\0';
p++;
int pixel_type = channels[c].pixel_type;
int x_sampling = channels[c].x_sampling;
int y_sampling = channels[c].y_sampling;
tinyexr::swap4(reinterpret_cast<unsigned int *>(&pixel_type));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&x_sampling));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&y_sampling));
memcpy(p, &pixel_type, sizeof(int));
p += sizeof(int);
(*p) = channels[c].p_linear;
p += 4;
memcpy(p, &x_sampling, sizeof(int));
p += sizeof(int);
memcpy(p, &y_sampling, sizeof(int));
p += sizeof(int);
}
(*p) = '\0';
}
static void CompressZip(unsigned char *dst, unsigned long long &compressedSize,
const unsigned char *src, unsigned long src_size) {
std::vector<unsigned char> tmpBuf(src_size);
//
// Apply EXR-specific? postprocess. Grabbed from OpenEXR's
// ImfZipCompressor.cpp
//
//
// Reorder the pixel data.
//
const char *srcPtr = reinterpret_cast<const char *>(src);
{
char *t1 = reinterpret_cast<char *>(&tmpBuf.at(0));
char *t2 = reinterpret_cast<char *>(&tmpBuf.at(0)) + (src_size + 1) / 2;
const char *stop = srcPtr + src_size;
for (;;) {
if (srcPtr < stop)
*(t1++) = *(srcPtr++);
else
break;
if (srcPtr < stop)
*(t2++) = *(srcPtr++);
else
break;
}
}
//
// Predictor.
//
{
unsigned char *t = &tmpBuf.at(0) + 1;
unsigned char *stop = &tmpBuf.at(0) + src_size;
int p = t[-1];
while (t < stop) {
int d = int(t[0]) - p + (128 + 256);
p = t[0];
t[0] = static_cast<unsigned char>(d);
++t;
}
}
#if TINYEXR_USE_MINIZ
//
// Compress the data using miniz
//
miniz::mz_ulong outSize = miniz::mz_compressBound(src_size);
int ret = miniz::mz_compress(dst, &outSize,
(const unsigned char *)&tmpBuf.at(0), src_size);
assert(ret == miniz::MZ_OK);
(void)ret;
compressedSize = outSize;
#else
uLong outSize = compressBound(static_cast<uLong>(src_size));
int ret = compress(dst, &outSize, static_cast<const Bytef *>(&tmpBuf.at(0)),
src_size);
assert(ret == Z_OK);
compressedSize = outSize;
#endif
}
static void DecompressZip(unsigned char *dst,
unsigned long *uncompressed_size /* inout */,
const unsigned char *src, unsigned long src_size) {
std::vector<unsigned char> tmpBuf(*uncompressed_size);
#if TINYEXR_USE_MINIZ
int ret =
miniz::mz_uncompress(&tmpBuf.at(0), uncompressed_size, src, src_size);
assert(ret == miniz::MZ_OK);
(void)ret;
#else
int ret = uncompress(&tmpBuf.at(0), uncompressed_size, src, src_size);
assert(ret == Z_OK);
(void)ret;
#endif
//
// Apply EXR-specific? postprocess. Grabbed from OpenEXR's
// ImfZipCompressor.cpp
//
// Predictor.
{
unsigned char *t = &tmpBuf.at(0) + 1;
unsigned char *stop = &tmpBuf.at(0) + (*uncompressed_size);
while (t < stop) {
int d = int(t[-1]) + int(t[0]) - 128;
t[0] = static_cast<unsigned char>(d);
++t;
}
}
// Reorder the pixel data.
{
const char *t1 = reinterpret_cast<const char *>(&tmpBuf.at(0));
const char *t2 = reinterpret_cast<const char *>(&tmpBuf.at(0)) +
(*uncompressed_size + 1) / 2;
char *s = reinterpret_cast<char *>(dst);
char *stop = s + (*uncompressed_size);
for (;;) {
if (s < stop)
*(s++) = *(t1++);
else
break;
if (s < stop)
*(s++) = *(t2++);
else
break;
}
}
}
// RLE code from OpenEXR --------------------------------------
const int MIN_RUN_LENGTH = 3;
const int MAX_RUN_LENGTH = 127;
//
// Compress an array of bytes, using run-length encoding,
// and return the length of the compressed data.
//
static int rleCompress(int inLength, const char in[], signed char out[]) {
const char *inEnd = in + inLength;
const char *runStart = in;
const char *runEnd = in + 1;
signed char *outWrite = out;
while (runStart < inEnd) {
while (runEnd < inEnd && *runStart == *runEnd &&
runEnd - runStart - 1 < MAX_RUN_LENGTH) {
++runEnd;
}
if (runEnd - runStart >= MIN_RUN_LENGTH) {
//
// Compressable run
//
*outWrite++ = static_cast<char>(runEnd - runStart) - 1;
*outWrite++ = *(reinterpret_cast<const signed char *>(runStart));
runStart = runEnd;
} else {
//
// Uncompressable run
//
while (runEnd < inEnd &&
((runEnd + 1 >= inEnd || *runEnd != *(runEnd + 1)) ||
(runEnd + 2 >= inEnd || *(runEnd + 1) != *(runEnd + 2))) &&
runEnd - runStart < MAX_RUN_LENGTH) {
++runEnd;
}
*outWrite++ = static_cast<char>(runStart - runEnd);
while (runStart < runEnd) {
*outWrite++ = *(reinterpret_cast<const signed char *>(runStart++));
}
}
++runEnd;
}
return static_cast<int>(outWrite - out);
}
//
// Uncompress an array of bytes compressed with rleCompress().
// Returns the length of the oncompressed data, or 0 if the
// length of the uncompressed data would be more than maxLength.
//
static int rleUncompress(int inLength, int maxLength, const signed char in[],
char out[]) {
char *outStart = out;
while (inLength > 0) {
if (*in < 0) {
int count = -(static_cast<int>(*in++));
inLength -= count + 1;
if (0 > (maxLength -= count)) return 0;
memcpy(out, in, count);
out += count;
in += count;
} else {
int count = *in++;
inLength -= 2;
if (0 > (maxLength -= count + 1)) return 0;
memset(out, *reinterpret_cast<const char *>(in), count + 1);
out += count + 1;
in++;
}
}
return static_cast<int>(out - outStart);
}
// End of RLE code from OpenEXR -----------------------------------
static void CompressRle(unsigned char *dst, unsigned long long &compressedSize,
const unsigned char *src, unsigned long src_size) {
std::vector<unsigned char> tmpBuf(src_size);
//
// Apply EXR-specific? postprocess. Grabbed from OpenEXR's
// ImfZipCompressor.cpp
//
//
// Reorder the pixel data.
//
const char *srcPtr = reinterpret_cast<const char *>(src);
{
char *t1 = reinterpret_cast<char *>(&tmpBuf.at(0));
char *t2 = reinterpret_cast<char *>(&tmpBuf.at(0)) + (src_size + 1) / 2;
const char *stop = srcPtr + src_size;
for (;;) {
if (srcPtr < stop)
*(t1++) = *(srcPtr++);
else
break;
if (srcPtr < stop)
*(t2++) = *(srcPtr++);
else
break;
}
}
//
// Predictor.
//
{
unsigned char *t = &tmpBuf.at(0) + 1;
unsigned char *stop = &tmpBuf.at(0) + src_size;
int p = t[-1];
while (t < stop) {
int d = int(t[0]) - p + (128 + 256);
p = t[0];
t[0] = static_cast<unsigned char>(d);
++t;
}
}
// outSize will be (srcSiz * 3) / 2 at max.
int outSize = rleCompress(static_cast<int>(src_size),
reinterpret_cast<const char *>(&tmpBuf.at(0)),
reinterpret_cast<signed char *>(dst));
assert(outSize > 0);
compressedSize = outSize;
}
static void DecompressRle(unsigned char *dst,
const unsigned long uncompressed_size,
const unsigned char *src, unsigned long src_size) {
std::vector<unsigned char> tmpBuf(uncompressed_size);
int ret = rleUncompress(static_cast<int>(src_size),
static_cast<int>(uncompressed_size),
reinterpret_cast<const signed char *>(src),
reinterpret_cast<char *>(dst));
assert(ret == static_cast<int>(uncompressed_size));
(void)ret;
//
// Apply EXR-specific? postprocess. Grabbed from OpenEXR's
// ImfZipCompressor.cpp
//
// Predictor.
{
unsigned char *t = &tmpBuf.at(0) + 1;
unsigned char *stop = &tmpBuf.at(0) + uncompressed_size;
while (t < stop) {
int d = int(t[-1]) + int(t[0]) - 128;
t[0] = static_cast<unsigned char>(d);
++t;
}
}
// Reorder the pixel data.
{
const char *t1 = reinterpret_cast<const char *>(&tmpBuf.at(0));
const char *t2 = reinterpret_cast<const char *>(&tmpBuf.at(0)) +
(uncompressed_size + 1) / 2;
char *s = reinterpret_cast<char *>(dst);
char *stop = s + uncompressed_size;
for (;;) {
if (s < stop)
*(s++) = *(t1++);
else
break;
if (s < stop)
*(s++) = *(t2++);
else
break;
}
}
}
#if TINYEXR_USE_PIZ
//
// PIZ compress/uncompress, based on OpenEXR's ImfPizCompressor.cpp
//
// -----------------------------------------------------------------
// Copyright (c) 2004, Industrial Light & Magic, a division of Lucas
// Digital Ltd. LLC)
// (3 clause BSD license)
//
struct PIZChannelData {
unsigned short *start;
unsigned short *end;
int nx;
int ny;
int ys;
int size;
};
//-----------------------------------------------------------------------------
//
// 16-bit Haar Wavelet encoding and decoding
//
// The source code in this file is derived from the encoding
// and decoding routines written by Christian Rouet for his
// PIZ image file format.
//
//-----------------------------------------------------------------------------
//
// Wavelet basis functions without modulo arithmetic; they produce
// the best compression ratios when the wavelet-transformed data are
// Huffman-encoded, but the wavelet transform works only for 14-bit
// data (untransformed data values must be less than (1 << 14)).
//
inline void wenc14(unsigned short a, unsigned short b, unsigned short &l,
unsigned short &h) {
short as = static_cast<short>(a);
short bs = static_cast<short>(b);
short ms = (as + bs) >> 1;
short ds = as - bs;
l = static_cast<unsigned short>(ms);
h = static_cast<unsigned short>(ds);
}
inline void wdec14(unsigned short l, unsigned short h, unsigned short &a,
unsigned short &b) {
short ls = static_cast<short>(l);
short hs = static_cast<short>(h);
int hi = hs;
int ai = ls + (hi & 1) + (hi >> 1);
short as = static_cast<short>(ai);
short bs = static_cast<short>(ai - hi);
a = static_cast<unsigned short>(as);
b = static_cast<unsigned short>(bs);
}
//
// Wavelet basis functions with modulo arithmetic; they work with full
// 16-bit data, but Huffman-encoding the wavelet-transformed data doesn't
// compress the data quite as well.
//
const int NBITS = 16;
const int A_OFFSET = 1 << (NBITS - 1);
const int M_OFFSET = 1 << (NBITS - 1);
const int MOD_MASK = (1 << NBITS) - 1;
inline void wenc16(unsigned short a, unsigned short b, unsigned short &l,
unsigned short &h) {
int ao = (a + A_OFFSET) & MOD_MASK;
int m = ((ao + b) >> 1);
int d = ao - b;
if (d < 0) m = (m + M_OFFSET) & MOD_MASK;
d &= MOD_MASK;
l = static_cast<unsigned short>(m);
h = static_cast<unsigned short>(d);
}
inline void wdec16(unsigned short l, unsigned short h, unsigned short &a,
unsigned short &b) {
int m = l;
int d = h;
int bb = (m - (d >> 1)) & MOD_MASK;
int aa = (d + bb - A_OFFSET) & MOD_MASK;
b = static_cast<unsigned short>(bb);
a = static_cast<unsigned short>(aa);
}
//
// 2D Wavelet encoding:
//
static void wav2Encode(
unsigned short *in, // io: values are transformed in place
int nx, // i : x size
int ox, // i : x offset
int ny, // i : y size
int oy, // i : y offset
unsigned short mx) // i : maximum in[x][y] value
{
bool w14 = (mx < (1 << 14));
int n = (nx > ny) ? ny : nx;
int p = 1; // == 1 << level
int p2 = 2; // == 1 << (level+1)
//
// Hierachical loop on smaller dimension n
//
while (p2 <= n) {
unsigned short *py = in;
unsigned short *ey = in + oy * (ny - p2);
int oy1 = oy * p;
int oy2 = oy * p2;
int ox1 = ox * p;
int ox2 = ox * p2;
unsigned short i00, i01, i10, i11;
//
// Y loop
//
for (; py <= ey; py += oy2) {
unsigned short *px = py;
unsigned short *ex = py + ox * (nx - p2);
//
// X loop
//
for (; px <= ex; px += ox2) {
unsigned short *p01 = px + ox1;
unsigned short *p10 = px + oy1;
unsigned short *p11 = p10 + ox1;
//
// 2D wavelet encoding
//
if (w14) {
wenc14(*px, *p01, i00, i01);
wenc14(*p10, *p11, i10, i11);
wenc14(i00, i10, *px, *p10);
wenc14(i01, i11, *p01, *p11);
} else {
wenc16(*px, *p01, i00, i01);
wenc16(*p10, *p11, i10, i11);
wenc16(i00, i10, *px, *p10);
wenc16(i01, i11, *p01, *p11);
}
}
//
// Encode (1D) odd column (still in Y loop)
//
if (nx & p) {
unsigned short *p10 = px + oy1;
if (w14)
wenc14(*px, *p10, i00, *p10);
else
wenc16(*px, *p10, i00, *p10);
*px = i00;
}
}
//
// Encode (1D) odd line (must loop in X)
//
if (ny & p) {
unsigned short *px = py;
unsigned short *ex = py + ox * (nx - p2);
for (; px <= ex; px += ox2) {
unsigned short *p01 = px + ox1;
if (w14)
wenc14(*px, *p01, i00, *p01);
else
wenc16(*px, *p01, i00, *p01);
*px = i00;
}
}
//
// Next level
//
p = p2;
p2 <<= 1;
}
}
//
// 2D Wavelet decoding:
//
static void wav2Decode(
unsigned short *in, // io: values are transformed in place
int nx, // i : x size
int ox, // i : x offset
int ny, // i : y size
int oy, // i : y offset
unsigned short mx) // i : maximum in[x][y] value
{
bool w14 = (mx < (1 << 14));
int n = (nx > ny) ? ny : nx;
int p = 1;
int p2;
//
// Search max level
//
while (p <= n) p <<= 1;
p >>= 1;
p2 = p;
p >>= 1;
//
// Hierarchical loop on smaller dimension n
//
while (p >= 1) {
unsigned short *py = in;
unsigned short *ey = in + oy * (ny - p2);
int oy1 = oy * p;
int oy2 = oy * p2;
int ox1 = ox * p;
int ox2 = ox * p2;
unsigned short i00, i01, i10, i11;
//
// Y loop
//
for (; py <= ey; py += oy2) {
unsigned short *px = py;
unsigned short *ex = py + ox * (nx - p2);
//
// X loop
//
for (; px <= ex; px += ox2) {
unsigned short *p01 = px + ox1;
unsigned short *p10 = px + oy1;
unsigned short *p11 = p10 + ox1;
//
// 2D wavelet decoding
//
if (w14) {
wdec14(*px, *p10, i00, i10);
wdec14(*p01, *p11, i01, i11);
wdec14(i00, i01, *px, *p01);
wdec14(i10, i11, *p10, *p11);
} else {
wdec16(*px, *p10, i00, i10);
wdec16(*p01, *p11, i01, i11);
wdec16(i00, i01, *px, *p01);
wdec16(i10, i11, *p10, *p11);
}
}
//
// Decode (1D) odd column (still in Y loop)
//
if (nx & p) {
unsigned short *p10 = px + oy1;
if (w14)
wdec14(*px, *p10, i00, *p10);
else
wdec16(*px, *p10, i00, *p10);
*px = i00;
}
}
//
// Decode (1D) odd line (must loop in X)
//
if (ny & p) {
unsigned short *px = py;
unsigned short *ex = py + ox * (nx - p2);
for (; px <= ex; px += ox2) {
unsigned short *p01 = px + ox1;
if (w14)
wdec14(*px, *p01, i00, *p01);
else
wdec16(*px, *p01, i00, *p01);
*px = i00;
}
}
//
// Next level
//
p2 = p;
p >>= 1;
}
}
//-----------------------------------------------------------------------------
//
// 16-bit Huffman compression and decompression.
//
// The source code in this file is derived from the 8-bit
// Huffman compression and decompression routines written
// by Christian Rouet for his PIZ image file format.
//
//-----------------------------------------------------------------------------
// Adds some modification for tinyexr.
const int HUF_ENCBITS = 16; // literal (value) bit length
const int HUF_DECBITS = 14; // decoding bit size (>= 8)
const int HUF_ENCSIZE = (1 << HUF_ENCBITS) + 1; // encoding table size
const int HUF_DECSIZE = 1 << HUF_DECBITS; // decoding table size
const int HUF_DECMASK = HUF_DECSIZE - 1;
struct HufDec { // short code long code
//-------------------------------
int len : 8; // code length 0
int lit : 24; // lit p size
int *p; // 0 lits
};
inline long long hufLength(long long code) { return code & 63; }
inline long long hufCode(long long code) { return code >> 6; }
inline void outputBits(int nBits, long long bits, long long &c, int &lc,
char *&out) {
c <<= nBits;
lc += nBits;
c |= bits;
while (lc >= 8) *out++ = static_cast<char>((c >> (lc -= 8)));
}
inline long long getBits(int nBits, long long &c, int &lc, const char *&in) {
while (lc < nBits) {
c = (c << 8) | *(reinterpret_cast<const unsigned char *>(in++));
lc += 8;
}
lc -= nBits;
return (c >> lc) & ((1 << nBits) - 1);
}
//
// ENCODING TABLE BUILDING & (UN)PACKING
//
//
// Build a "canonical" Huffman code table:
// - for each (uncompressed) symbol, hcode contains the length
// of the corresponding code (in the compressed data)
// - canonical codes are computed and stored in hcode
// - the rules for constructing canonical codes are as follows:
// * shorter codes (if filled with zeroes to the right)
// have a numerically higher value than longer codes
// * for codes with the same length, numerical values
// increase with numerical symbol values
// - because the canonical code table can be constructed from
// symbol lengths alone, the code table can be transmitted
// without sending the actual code values
// - see http://www.compressconsult.com/huffman/
//
static void hufCanonicalCodeTable(long long hcode[HUF_ENCSIZE]) {
long long n[59];
//
// For each i from 0 through 58, count the
// number of different codes of length i, and
// store the count in n[i].
//
for (int i = 0; i <= 58; ++i) n[i] = 0;
for (int i = 0; i < HUF_ENCSIZE; ++i) n[hcode[i]] += 1;
//
// For each i from 58 through 1, compute the
// numerically lowest code with length i, and
// store that code in n[i].
//
long long c = 0;
for (int i = 58; i > 0; --i) {
long long nc = ((c + n[i]) >> 1);
n[i] = c;
c = nc;
}
//
// hcode[i] contains the length, l, of the
// code for symbol i. Assign the next available
// code of length l to the symbol and store both
// l and the code in hcode[i].
//
for (int i = 0; i < HUF_ENCSIZE; ++i) {
int l = static_cast<int>(hcode[i]);
if (l > 0) hcode[i] = l | (n[l]++ << 6);
}
}
//
// Compute Huffman codes (based on frq input) and store them in frq:
// - code structure is : [63:lsb - 6:msb] | [5-0: bit length];
// - max code length is 58 bits;
// - codes outside the range [im-iM] have a null length (unused values);
// - original frequencies are destroyed;
// - encoding tables are used by hufEncode() and hufBuildDecTable();
//
struct FHeapCompare {
bool operator()(long long *a, long long *b) { return *a > *b; }
};
static void hufBuildEncTable(
long long *frq, // io: input frequencies [HUF_ENCSIZE], output table
int *im, // o: min frq index
int *iM) // o: max frq index
{
//
// This function assumes that when it is called, array frq
// indicates the frequency of all possible symbols in the data
// that are to be Huffman-encoded. (frq[i] contains the number
// of occurrences of symbol i in the data.)
//
// The loop below does three things:
//
// 1) Finds the minimum and maximum indices that point
// to non-zero entries in frq:
//
// frq[im] != 0, and frq[i] == 0 for all i < im
// frq[iM] != 0, and frq[i] == 0 for all i > iM
//
// 2) Fills array fHeap with pointers to all non-zero
// entries in frq.
//
// 3) Initializes array hlink such that hlink[i] == i
// for all array entries.
//
int hlink[HUF_ENCSIZE];
long long *fHeap[HUF_ENCSIZE];
*im = 0;
while (!frq[*im]) (*im)++;
int nf = 0;
for (int i = *im; i < HUF_ENCSIZE; i++) {
hlink[i] = i;
if (frq[i]) {
fHeap[nf] = &frq[i];
nf++;
*iM = i;
}
}
//
// Add a pseudo-symbol, with a frequency count of 1, to frq;
// adjust the fHeap and hlink array accordingly. Function
// hufEncode() uses the pseudo-symbol for run-length encoding.
//
(*iM)++;
frq[*iM] = 1;
fHeap[nf] = &frq[*iM];
nf++;
//
// Build an array, scode, such that scode[i] contains the number
// of bits assigned to symbol i. Conceptually this is done by
// constructing a tree whose leaves are the symbols with non-zero
// frequency:
//
// Make a heap that contains all symbols with a non-zero frequency,
// with the least frequent symbol on top.
//
// Repeat until only one symbol is left on the heap:
//
// Take the two least frequent symbols off the top of the heap.
// Create a new node that has first two nodes as children, and
// whose frequency is the sum of the frequencies of the first
// two nodes. Put the new node back into the heap.
//
// The last node left on the heap is the root of the tree. For each
// leaf node, the distance between the root and the leaf is the length
// of the code for the corresponding symbol.
//
// The loop below doesn't actually build the tree; instead we compute
// the distances of the leaves from the root on the fly. When a new
// node is added to the heap, then that node's descendants are linked
// into a single linear list that starts at the new node, and the code
// lengths of the descendants (that is, their distance from the root
// of the tree) are incremented by one.
//
std::make_heap(&fHeap[0], &fHeap[nf], FHeapCompare());
long long scode[HUF_ENCSIZE];
memset(scode, 0, sizeof(long long) * HUF_ENCSIZE);
while (nf > 1) {
//
// Find the indices, mm and m, of the two smallest non-zero frq
// values in fHeap, add the smallest frq to the second-smallest
// frq, and remove the smallest frq value from fHeap.
//
int mm = fHeap[0] - frq;
std::pop_heap(&fHeap[0], &fHeap[nf], FHeapCompare());
--nf;
int m = fHeap[0] - frq;
std::pop_heap(&fHeap[0], &fHeap[nf], FHeapCompare());
frq[m] += frq[mm];
std::push_heap(&fHeap[0], &fHeap[nf], FHeapCompare());
//
// The entries in scode are linked into lists with the
// entries in hlink serving as "next" pointers and with
// the end of a list marked by hlink[j] == j.
//
// Traverse the lists that start at scode[m] and scode[mm].
// For each element visited, increment the length of the
// corresponding code by one bit. (If we visit scode[j]
// during the traversal, then the code for symbol j becomes
// one bit longer.)
//
// Merge the lists that start at scode[m] and scode[mm]
// into a single list that starts at scode[m].
//
//
// Add a bit to all codes in the first list.
//
for (int j = m;; j = hlink[j]) {
scode[j]++;
assert(scode[j] <= 58);
if (hlink[j] == j) {
//
// Merge the two lists.
//
hlink[j] = mm;
break;
}
}
//
// Add a bit to all codes in the second list
//
for (int j = mm;; j = hlink[j]) {
scode[j]++;
assert(scode[j] <= 58);
if (hlink[j] == j) break;
}
}
//
// Build a canonical Huffman code table, replacing the code
// lengths in scode with (code, code length) pairs. Copy the
// code table from scode into frq.
//
hufCanonicalCodeTable(scode);
memcpy(frq, scode, sizeof(long long) * HUF_ENCSIZE);
}
//
// Pack an encoding table:
// - only code lengths, not actual codes, are stored
// - runs of zeroes are compressed as follows:
//
// unpacked packed
// --------------------------------
// 1 zero 0 (6 bits)
// 2 zeroes 59
// 3 zeroes 60
// 4 zeroes 61
// 5 zeroes 62
// n zeroes (6 or more) 63 n-6 (6 + 8 bits)
//
const int SHORT_ZEROCODE_RUN = 59;
const int LONG_ZEROCODE_RUN = 63;
const int SHORTEST_LONG_RUN = 2 + LONG_ZEROCODE_RUN - SHORT_ZEROCODE_RUN;
const int LONGEST_LONG_RUN = 255 + SHORTEST_LONG_RUN;
void hufPackEncTable(
const long long *hcode, // i : encoding table [HUF_ENCSIZE]
int im, // i : min hcode index
int iM, // i : max hcode index
char **pcode) // o: ptr to packed table (updated)
{
char *p = *pcode;
long long c = 0;
int lc = 0;
for (; im <= iM; im++) {
int l = hufLength(hcode[im]);
if (l == 0) {
int zerun = 1;
while ((im < iM) && (zerun < LONGEST_LONG_RUN)) {
if (hufLength(hcode[im + 1]) > 0) break;
im++;
zerun++;
}
if (zerun >= 2) {
if (zerun >= SHORTEST_LONG_RUN) {
outputBits(6, LONG_ZEROCODE_RUN, c, lc, p);
outputBits(8, zerun - SHORTEST_LONG_RUN, c, lc, p);
} else {
outputBits(6, SHORT_ZEROCODE_RUN + zerun - 2, c, lc, p);
}
continue;
}
}
outputBits(6, l, c, lc, p);
}
if (lc > 0) *p++ = (unsigned char)(c << (8 - lc));
*pcode = p;
}
//
// Unpack an encoding table packed by hufPackEncTable():
//
bool hufUnpackEncTable(const char **pcode, // io: ptr to packed table (updated)
int ni, // i : input size (in bytes)
int im, // i : min hcode index
int iM, // i : max hcode index
long long *hcode) // o: encoding table [HUF_ENCSIZE]
{
memset(hcode, 0, sizeof(long long) * HUF_ENCSIZE);
const char *p = *pcode;
long long c = 0;
int lc = 0;
for (; im <= iM; im++) {
if (p - *pcode > ni) {
return false;
}
long long l = hcode[im] = getBits(6, c, lc, p); // code length
if (l == (long long)LONG_ZEROCODE_RUN) {
if (p - *pcode > ni) {
return false;
}
int zerun = getBits(8, c, lc, p) + SHORTEST_LONG_RUN;
if (im + zerun > iM + 1) {
return false;
}
while (zerun--) hcode[im++] = 0;
im--;
} else if (l >= (long long)SHORT_ZEROCODE_RUN) {
int zerun = l - SHORT_ZEROCODE_RUN + 2;
if (im + zerun > iM + 1) {
return false;
}
while (zerun--) hcode[im++] = 0;
im--;
}
}
*pcode = const_cast<char *>(p);
hufCanonicalCodeTable(hcode);
return true;
}
//
// DECODING TABLE BUILDING
//
//
// Clear a newly allocated decoding table so that it contains only zeroes.
//
void hufClearDecTable(HufDec *hdecod) // io: (allocated by caller)
// decoding table [HUF_DECSIZE]
{
for (int i = 0; i < HUF_DECSIZE; i++) {
hdecod[i].len = 0;
hdecod[i].lit = 0;
hdecod[i].p = NULL;
}
// memset(hdecod, 0, sizeof(HufDec) * HUF_DECSIZE);
}
//
// Build a decoding hash table based on the encoding table hcode:
// - short codes (<= HUF_DECBITS) are resolved with a single table access;
// - long code entry allocations are not optimized, because long codes are
// unfrequent;
// - decoding tables are used by hufDecode();
//
bool hufBuildDecTable(const long long *hcode, // i : encoding table
int im, // i : min index in hcode
int iM, // i : max index in hcode
HufDec *hdecod) // o: (allocated by caller)
// decoding table [HUF_DECSIZE]
{
//
// Init hashtable & loop on all codes.
// Assumes that hufClearDecTable(hdecod) has already been called.
//
for (; im <= iM; im++) {
long long c = hufCode(hcode[im]);
int l = hufLength(hcode[im]);
if (c >> l) {
//
// Error: c is supposed to be an l-bit code,
// but c contains a value that is greater
// than the largest l-bit number.
//
// invalidTableEntry();
return false;
}
if (l > HUF_DECBITS) {
//
// Long code: add a secondary entry
//
HufDec *pl = hdecod + (c >> (l - HUF_DECBITS));
if (pl->len) {
//
// Error: a short code has already
// been stored in table entry *pl.
//
// invalidTableEntry();
return false;
}
pl->lit++;
if (pl->p) {
int *p = pl->p;
pl->p = new int[pl->lit];
for (int i = 0; i < pl->lit - 1; ++i) pl->p[i] = p[i];
delete[] p;
} else {
pl->p = new int[1];
}
pl->p[pl->lit - 1] = im;
} else if (l) {
//
// Short code: init all primary entries
//
HufDec *pl = hdecod + (c << (HUF_DECBITS - l));
for (long long i = 1ULL << (HUF_DECBITS - l); i > 0; i--, pl++) {
if (pl->len || pl->p) {
//
// Error: a short code or a long code has
// already been stored in table entry *pl.
//
// invalidTableEntry();
return false;
}
pl->len = l;
pl->lit = im;
}
}
}
return true;
}
//
// Free the long code entries of a decoding table built by hufBuildDecTable()
//
void hufFreeDecTable(HufDec *hdecod) // io: Decoding table
{
for (int i = 0; i < HUF_DECSIZE; i++) {
if (hdecod[i].p) {
delete[] hdecod[i].p;
hdecod[i].p = 0;
}
}
}
//
// ENCODING
//
inline void outputCode(long long code, long long &c, int &lc, char *&out) {
outputBits(hufLength(code), hufCode(code), c, lc, out);
}
inline void sendCode(long long sCode, int runCount, long long runCode,
long long &c, int &lc, char *&out) {
//
// Output a run of runCount instances of the symbol sCount.
// Output the symbols explicitly, or if that is shorter, output
// the sCode symbol once followed by a runCode symbol and runCount
// expressed as an 8-bit number.
//
if (hufLength(sCode) + hufLength(runCode) + 8 < hufLength(sCode) * runCount) {
outputCode(sCode, c, lc, out);
outputCode(runCode, c, lc, out);
outputBits(8, runCount, c, lc, out);
} else {
while (runCount-- >= 0) outputCode(sCode, c, lc, out);
}
}
//
// Encode (compress) ni values based on the Huffman encoding table hcode:
//
int hufEncode // return: output size (in bits)
(const long long *hcode, // i : encoding table
const unsigned short *in, // i : uncompressed input buffer
const int ni, // i : input buffer size (in bytes)
int rlc, // i : rl code
char *out) // o: compressed output buffer
{
char *outStart = out;
long long c = 0; // bits not yet written to out
int lc = 0; // number of valid bits in c (LSB)
int s = in[0];
int cs = 0;
//
// Loop on input values
//
for (int i = 1; i < ni; i++) {
//
// Count same values or send code
//
if (s == in[i] && cs < 255) {
cs++;
} else {
sendCode(hcode[s], cs, hcode[rlc], c, lc, out);
cs = 0;
}
s = in[i];
}
//
// Send remaining code
//
sendCode(hcode[s], cs, hcode[rlc], c, lc, out);
if (lc) *out = (c << (8 - lc)) & 0xff;
return (out - outStart) * 8 + lc;
}
//
// DECODING
//
//
// In order to force the compiler to inline them,
// getChar() and getCode() are implemented as macros
// instead of "inline" functions.
//
#define getChar(c, lc, in) \
{ \
c = (c << 8) | *(unsigned char *)(in++); \
lc += 8; \
}
#define getCode(po, rlc, c, lc, in, out, oe) \
{ \
if (po == rlc) { \
if (lc < 8) getChar(c, lc, in); \
\
lc -= 8; \
\
unsigned char cs = (c >> lc); \
\
if (out + cs > oe) return false; \
\
unsigned short s = out[-1]; \
\
while (cs-- > 0) *out++ = s; \
} else if (out < oe) { \
*out++ = po; \
} else { \
return false; \
} \
}
//
// Decode (uncompress) ni bits based on encoding & decoding tables:
//
bool hufDecode(const long long *hcode, // i : encoding table
const HufDec *hdecod, // i : decoding table
const char *in, // i : compressed input buffer
int ni, // i : input size (in bits)
int rlc, // i : run-length code
int no, // i : expected output size (in bytes)
unsigned short *out) // o: uncompressed output buffer
{
long long c = 0;
int lc = 0;
unsigned short *outb = out;
unsigned short *oe = out + no;
const char *ie = in + (ni + 7) / 8; // input byte size
//
// Loop on input bytes
//
while (in < ie) {
getChar(c, lc, in);
//
// Access decoding table
//
while (lc >= HUF_DECBITS) {
const HufDec pl = hdecod[(c >> (lc - HUF_DECBITS)) & HUF_DECMASK];
if (pl.len) {
//
// Get short code
//
lc -= pl.len;
getCode(pl.lit, rlc, c, lc, in, out, oe);
} else {
if (!pl.p) {
return false;
}
// invalidCode(); // wrong code
//
// Search long code
//
int j;
for (j = 0; j < pl.lit; j++) {
int l = hufLength(hcode[pl.p[j]]);
while (lc < l && in < ie) // get more bits
getChar(c, lc, in);
if (lc >= l) {
if (hufCode(hcode[pl.p[j]]) ==
((c >> (lc - l)) & (((long long)(1) << l) - 1))) {
//
// Found : get long code
//
lc -= l;
getCode(pl.p[j], rlc, c, lc, in, out, oe);
break;
}
}
}
if (j == pl.lit) {
return false;
// invalidCode(); // Not found
}
}
}
}
//
// Get remaining (short) codes
//
int i = (8 - ni) & 7;
c >>= i;
lc -= i;
while (lc > 0) {
const HufDec pl = hdecod[(c << (HUF_DECBITS - lc)) & HUF_DECMASK];
if (pl.len) {
lc -= pl.len;
getCode(pl.lit, rlc, c, lc, in, out, oe);
} else {
return false;
// invalidCode(); // wrong (long) code
}
}
if (out - outb != no) {
return false;
}
// notEnoughData ();
return true;
}
void countFrequencies(long long freq[HUF_ENCSIZE],
const unsigned short data[/*n*/], int n) {
for (int i = 0; i < HUF_ENCSIZE; ++i) freq[i] = 0;
for (int i = 0; i < n; ++i) ++freq[data[i]];
}
void writeUInt(char buf[4], unsigned int i) {
unsigned char *b = (unsigned char *)buf;
b[0] = i;
b[1] = i >> 8;
b[2] = i >> 16;
b[3] = i >> 24;
}
unsigned int readUInt(const char buf[4]) {
const unsigned char *b = (const unsigned char *)buf;
return (b[0] & 0x000000ff) | ((b[1] << 8) & 0x0000ff00) |
((b[2] << 16) & 0x00ff0000) | ((b[3] << 24) & 0xff000000);
}
//
// EXTERNAL INTERFACE
//
int hufCompress(const unsigned short raw[], int nRaw, char compressed[]) {
if (nRaw == 0) return 0;
long long freq[HUF_ENCSIZE];
countFrequencies(freq, raw, nRaw);
int im = 0;
int iM = 0;
hufBuildEncTable(freq, &im, &iM);
char *tableStart = compressed + 20;
char *tableEnd = tableStart;
hufPackEncTable(freq, im, iM, &tableEnd);
int tableLength = tableEnd - tableStart;
char *dataStart = tableEnd;
int nBits = hufEncode(freq, raw, nRaw, iM, dataStart);
int data_length = (nBits + 7) / 8;
writeUInt(compressed, im);
writeUInt(compressed + 4, iM);
writeUInt(compressed + 8, tableLength);
writeUInt(compressed + 12, nBits);
writeUInt(compressed + 16, 0); // room for future extensions
return dataStart + data_length - compressed;
}
bool hufUncompress(const char compressed[], int nCompressed,
unsigned short raw[], int nRaw) {
if (nCompressed == 0) {
if (nRaw != 0) return false;
return false;
}
int im = readUInt(compressed);
int iM = readUInt(compressed + 4);
// int tableLength = readUInt (compressed + 8);
int nBits = readUInt(compressed + 12);
if (im < 0 || im >= HUF_ENCSIZE || iM < 0 || iM >= HUF_ENCSIZE) return false;
const char *ptr = compressed + 20;
//
// Fast decoder needs at least 2x64-bits of compressed data, and
// needs to be run-able on this platform. Otherwise, fall back
// to the original decoder
//
// if (FastHufDecoder::enabled() && nBits > 128)
//{
// FastHufDecoder fhd (ptr, nCompressed - (ptr - compressed), im, iM, iM);
// fhd.decode ((unsigned char*)ptr, nBits, raw, nRaw);
//}
// else
{
std::vector<long long> freq(HUF_ENCSIZE);
std::vector<HufDec> hdec(HUF_DECSIZE);
hufClearDecTable(&hdec.at(0));
hufUnpackEncTable(&ptr, nCompressed - (ptr - compressed), im, iM,
&freq.at(0));
{
if (nBits > 8 * (nCompressed - (ptr - compressed))) {
return false;
}
hufBuildDecTable(&freq.at(0), im, iM, &hdec.at(0));
hufDecode(&freq.at(0), &hdec.at(0), ptr, nBits, iM, nRaw, raw);
}
// catch (...)
//{
// hufFreeDecTable (hdec);
// throw;
//}
hufFreeDecTable(&hdec.at(0));
}
return true;
}
//
// Functions to compress the range of values in the pixel data
//
const int USHORT_RANGE = (1 << 16);
const int BITMAP_SIZE = (USHORT_RANGE >> 3);
void bitmapFromData(const unsigned short data[/*nData*/], int nData,
unsigned char bitmap[BITMAP_SIZE],
unsigned short &minNonZero, unsigned short &maxNonZero) {
for (int i = 0; i < BITMAP_SIZE; ++i) bitmap[i] = 0;
for (int i = 0; i < nData; ++i) bitmap[data[i] >> 3] |= (1 << (data[i] & 7));
bitmap[0] &= ~1; // zero is not explicitly stored in
// the bitmap; we assume that the
// data always contain zeroes
minNonZero = BITMAP_SIZE - 1;
maxNonZero = 0;
for (int i = 0; i < BITMAP_SIZE; ++i) {
if (bitmap[i]) {
if (minNonZero > i) minNonZero = i;
if (maxNonZero < i) maxNonZero = i;
}
}
}
unsigned short forwardLutFromBitmap(const unsigned char bitmap[BITMAP_SIZE],
unsigned short lut[USHORT_RANGE]) {
int k = 0;
for (int i = 0; i < USHORT_RANGE; ++i) {
if ((i == 0) || (bitmap[i >> 3] & (1 << (i & 7))))
lut[i] = k++;
else
lut[i] = 0;
}
return k - 1; // maximum value stored in lut[],
} // i.e. number of ones in bitmap minus 1
unsigned short reverseLutFromBitmap(const unsigned char bitmap[BITMAP_SIZE],
unsigned short lut[USHORT_RANGE]) {
int k = 0;
for (int i = 0; i < USHORT_RANGE; ++i) {
if ((i == 0) || (bitmap[i >> 3] & (1 << (i & 7)))) lut[k++] = i;
}
int n = k - 1;
while (k < USHORT_RANGE) lut[k++] = 0;
return n; // maximum k where lut[k] is non-zero,
} // i.e. number of ones in bitmap minus 1
void applyLut(const unsigned short lut[USHORT_RANGE],
unsigned short data[/*nData*/], int nData) {
for (int i = 0; i < nData; ++i) data[i] = lut[data[i]];
}
bool CompressPiz(unsigned char *outPtr, unsigned int &outSize,
const unsigned char *inPtr, size_t inSize,
const std::vector<ChannelInfo> &channelInfo, int data_width,
int num_lines) {
unsigned char bitmap[BITMAP_SIZE];
unsigned short minNonZero;
unsigned short maxNonZero;
#if !MINIZ_LITTLE_ENDIAN
// @todo { PIZ compression on BigEndian architecture. }
assert(0);
return false;
#endif
// Assume `inSize` is multiple of 2 or 4.
std::vector<unsigned short> tmpBuffer(inSize / sizeof(unsigned short));
std::vector<PIZChannelData> channelData(channelInfo.size());
unsigned short *tmpBufferEnd = &tmpBuffer.at(0);
for (size_t c = 0; c < channelData.size(); c++) {
PIZChannelData &cd = channelData[c];
cd.start = tmpBufferEnd;
cd.end = cd.start;
cd.nx = data_width;
cd.ny = num_lines;
// cd.ys = c.channel().ySampling;
int pixelSize = sizeof(int); // UINT and FLOAT
if (channelInfo[c].pixel_type == TINYEXR_PIXELTYPE_HALF) {
pixelSize = sizeof(short);
}
cd.size = pixelSize / sizeof(short);
tmpBufferEnd += cd.nx * cd.ny * cd.size;
}
const unsigned char *ptr = inPtr;
for (int y = 0; y < num_lines; ++y) {
for (size_t i = 0; i < channelData.size(); ++i) {
PIZChannelData &cd = channelData[i];
// if (modp (y, cd.ys) != 0)
// continue;
int n = cd.nx * cd.size;
memcpy(cd.end, ptr, n * sizeof(unsigned short));
ptr += n * sizeof(unsigned short);
cd.end += n;
}
}
bitmapFromData(&tmpBuffer.at(0), tmpBuffer.size(), bitmap, minNonZero,
maxNonZero);
unsigned short lut[USHORT_RANGE];
unsigned short maxValue = forwardLutFromBitmap(bitmap, lut);
applyLut(lut, &tmpBuffer.at(0), tmpBuffer.size());
//
// Store range compression info in _outBuffer
//
char *buf = reinterpret_cast<char *>(outPtr);
memcpy(buf, &minNonZero, sizeof(unsigned short));
buf += sizeof(unsigned short);
memcpy(buf, &maxNonZero, sizeof(unsigned short));
buf += sizeof(unsigned short);
if (minNonZero <= maxNonZero) {
memcpy(buf, (char *)&bitmap[0] + minNonZero, maxNonZero - minNonZero + 1);
buf += maxNonZero - minNonZero + 1;
}
//
// Apply wavelet encoding
//
for (size_t i = 0; i < channelData.size(); ++i) {
PIZChannelData &cd = channelData[i];
for (int j = 0; j < cd.size; ++j) {
wav2Encode(cd.start + j, cd.nx, cd.size, cd.ny, cd.nx * cd.size,
maxValue);
}
}
//
// Apply Huffman encoding; append the result to _outBuffer
//
// length header(4byte), then huff data. Initialize length header with zero,
// then later fill it by `length`.
char *lengthPtr = buf;
int zero = 0;
memcpy(buf, &zero, sizeof(int));
buf += sizeof(int);
int length = hufCompress(&tmpBuffer.at(0), tmpBuffer.size(), buf);
memcpy(lengthPtr, &length, sizeof(int));
outSize = (reinterpret_cast<unsigned char *>(buf) - outPtr) + length;
return true;
}
bool DecompressPiz(unsigned char *outPtr, const unsigned char *inPtr,
size_t tmpBufSize, int num_channels,
const EXRChannelInfo *channels, int data_width,
int num_lines) {
unsigned char bitmap[BITMAP_SIZE];
unsigned short minNonZero;
unsigned short maxNonZero;
#if !MINIZ_LITTLE_ENDIAN
// @todo { PIZ compression on BigEndian architecture. }
assert(0);
return false;
#endif
memset(bitmap, 0, BITMAP_SIZE);
const unsigned char *ptr = inPtr;
minNonZero = *(reinterpret_cast<const unsigned short *>(ptr));
maxNonZero = *(reinterpret_cast<const unsigned short *>(ptr + 2));
ptr += 4;
if (maxNonZero >= BITMAP_SIZE) {
return false;
}
if (minNonZero <= maxNonZero) {
memcpy((char *)&bitmap[0] + minNonZero, ptr, maxNonZero - minNonZero + 1);
ptr += maxNonZero - minNonZero + 1;
}
unsigned short lut[USHORT_RANGE];
memset(lut, 0, sizeof(unsigned short) * USHORT_RANGE);
unsigned short maxValue = reverseLutFromBitmap(bitmap, lut);
//
// Huffman decoding
//
int length;
length = *(reinterpret_cast<const int *>(ptr));
ptr += sizeof(int);
std::vector<unsigned short> tmpBuffer(tmpBufSize);
hufUncompress(reinterpret_cast<const char *>(ptr), length, &tmpBuffer.at(0),
tmpBufSize);
//
// Wavelet decoding
//
std::vector<PIZChannelData> channelData(num_channels);
unsigned short *tmpBufferEnd = &tmpBuffer.at(0);
for (size_t i = 0; i < static_cast<size_t>(num_channels); ++i) {
const EXRChannelInfo &chan = channels[i];
int pixelSize = sizeof(int); // UINT and FLOAT
if (chan.pixel_type == TINYEXR_PIXELTYPE_HALF) {
pixelSize = sizeof(short);
}
channelData[i].start = tmpBufferEnd;
channelData[i].end = channelData[i].start;
channelData[i].nx = data_width;
channelData[i].ny = num_lines;
// channelData[i].ys = 1;
channelData[i].size = pixelSize / sizeof(short);
tmpBufferEnd += channelData[i].nx * channelData[i].ny * channelData[i].size;
}
for (size_t i = 0; i < channelData.size(); ++i) {
PIZChannelData &cd = channelData[i];
for (int j = 0; j < cd.size; ++j) {
wav2Decode(cd.start + j, cd.nx, cd.size, cd.ny, cd.nx * cd.size,
maxValue);
}
}
//
// Expand the pixel data to their original range
//
applyLut(lut, &tmpBuffer.at(0), tmpBufSize);
for (int y = 0; y < num_lines; y++) {
for (size_t i = 0; i < channelData.size(); ++i) {
PIZChannelData &cd = channelData[i];
// if (modp (y, cd.ys) != 0)
// continue;
int n = cd.nx * cd.size;
memcpy(outPtr, cd.end, n * sizeof(unsigned short));
outPtr += n * sizeof(unsigned short);
cd.end += n;
}
}
return true;
}
#endif // TINYEXR_USE_PIZ
#if TINYEXR_USE_ZFP
struct ZFPCompressionParam {
double rate;
int precision;
double tolerance;
int type; // TINYEXR_ZFP_COMPRESSIONTYPE_*
ZFPCompressionParam() {
type = TINYEXR_ZFP_COMPRESSIONTYPE_RATE;
rate = 2.0;
precision = 0;
tolerance = 0.0f;
}
};
bool FindZFPCompressionParam(ZFPCompressionParam *param,
const EXRAttribute *attributes,
int num_attributes) {
bool foundType = false;
for (int i = 0; i < num_attributes; i++) {
if ((strcmp(attributes[i].name, "zfpCompressionType") == 0) &&
(attributes[i].size == 1)) {
param->type = static_cast<int>(attributes[i].value[0]);
foundType = true;
}
}
if (!foundType) {
return false;
}
if (param->type == TINYEXR_ZFP_COMPRESSIONTYPE_RATE) {
for (int i = 0; i < num_attributes; i++) {
if ((strcmp(attributes[i].name, "zfpCompressionRate") == 0) &&
(attributes[i].size == 8)) {
param->rate = *(reinterpret_cast<double *>(attributes[i].value));
return true;
}
}
} else if (param->type == TINYEXR_ZFP_COMPRESSIONTYPE_PRECISION) {
for (int i = 0; i < num_attributes; i++) {
if ((strcmp(attributes[i].name, "zfpCompressionPrecision") == 0) &&
(attributes[i].size == 4)) {
param->rate = *(reinterpret_cast<int *>(attributes[i].value));
return true;
}
}
} else if (param->type == TINYEXR_ZFP_COMPRESSIONTYPE_ACCURACY) {
for (int i = 0; i < num_attributes; i++) {
if ((strcmp(attributes[i].name, "zfpCompressionTolerance") == 0) &&
(attributes[i].size == 8)) {
param->tolerance = *(reinterpret_cast<double *>(attributes[i].value));
return true;
}
}
} else {
assert(0);
}
return false;
}
// Assume pixel format is FLOAT for all channels.
static bool DecompressZfp(float *dst, int dst_width, int dst_num_lines,
int num_channels, const unsigned char *src,
unsigned long src_size,
const ZFPCompressionParam ¶m) {
size_t uncompressed_size = dst_width * dst_num_lines * num_channels;
zfp_stream *zfp = NULL;
zfp_field *field = NULL;
assert((dst_width % 4) == 0);
assert((dst_num_lines % 4) == 0);
if ((dst_width & 3U) || (dst_num_lines & 3U)) {
return false;
}
field =
zfp_field_2d(reinterpret_cast<void *>(const_cast<unsigned char *>(src)),
zfp_type_float, dst_width, dst_num_lines * num_channels);
zfp = zfp_stream_open(NULL);
if (param.type == TINYEXR_ZFP_COMPRESSIONTYPE_RATE) {
zfp_stream_set_rate(zfp, param.rate, zfp_type_float, /* dimention */ 2,
/* write random access */ 0);
} else if (param.type == TINYEXR_ZFP_COMPRESSIONTYPE_PRECISION) {
zfp_stream_set_precision(zfp, param.precision, zfp_type_float);
} else if (param.type == TINYEXR_ZFP_COMPRESSIONTYPE_ACCURACY) {
zfp_stream_set_accuracy(zfp, param.tolerance, zfp_type_float);
} else {
assert(0);
}
size_t buf_size = zfp_stream_maximum_size(zfp, field);
std::vector<unsigned char> buf(buf_size);
memcpy(&buf.at(0), src, src_size);
bitstream *stream = stream_open(&buf.at(0), buf_size);
zfp_stream_set_bit_stream(zfp, stream);
zfp_stream_rewind(zfp);
size_t image_size = dst_width * dst_num_lines;
for (int c = 0; c < num_channels; c++) {
// decompress 4x4 pixel block.
for (int y = 0; y < dst_num_lines; y += 4) {
for (int x = 0; x < dst_width; x += 4) {
float fblock[16];
zfp_decode_block_float_2(zfp, fblock);
for (int j = 0; j < 4; j++) {
for (int i = 0; i < 4; i++) {
dst[c * image_size + ((y + j) * dst_width + (x + i))] =
fblock[j * 4 + i];
}
}
}
}
}
zfp_field_free(field);
zfp_stream_close(zfp);
stream_close(stream);
return true;
}
// Assume pixel format is FLOAT for all channels.
bool CompressZfp(std::vector<unsigned char> *outBuf, unsigned int *outSize,
const float *inPtr, int width, int num_lines, int num_channels,
const ZFPCompressionParam ¶m) {
zfp_stream *zfp = NULL;
zfp_field *field = NULL;
assert((width % 4) == 0);
assert((num_lines % 4) == 0);
if ((width & 3U) || (num_lines & 3U)) {
return false;
}
// create input array.
field = zfp_field_2d(reinterpret_cast<void *>(const_cast<float *>(inPtr)),
zfp_type_float, width, num_lines * num_channels);
zfp = zfp_stream_open(NULL);
if (param.type == TINYEXR_ZFP_COMPRESSIONTYPE_RATE) {
zfp_stream_set_rate(zfp, param.rate, zfp_type_float, 2, 0);
} else if (param.type == TINYEXR_ZFP_COMPRESSIONTYPE_PRECISION) {
zfp_stream_set_precision(zfp, param.precision, zfp_type_float);
} else if (param.type == TINYEXR_ZFP_COMPRESSIONTYPE_ACCURACY) {
zfp_stream_set_accuracy(zfp, param.tolerance, zfp_type_float);
} else {
assert(0);
}
size_t buf_size = zfp_stream_maximum_size(zfp, field);
outBuf->resize(buf_size);
bitstream *stream = stream_open(&outBuf->at(0), buf_size);
zfp_stream_set_bit_stream(zfp, stream);
zfp_field_free(field);
size_t image_size = width * num_lines;
for (int c = 0; c < num_channels; c++) {
// compress 4x4 pixel block.
for (int y = 0; y < num_lines; y += 4) {
for (int x = 0; x < width; x += 4) {
float fblock[16];
for (int j = 0; j < 4; j++) {
for (int i = 0; i < 4; i++) {
fblock[j * 4 + i] =
inPtr[c * image_size + ((y + j) * width + (x + i))];
}
}
zfp_encode_block_float_2(zfp, fblock);
}
}
}
zfp_stream_flush(zfp);
(*outSize) = zfp_stream_compressed_size(zfp);
zfp_stream_close(zfp);
return true;
}
#endif
//
// -----------------------------------------------------------------
//
static void DecodePixelData(/* out */ unsigned char **out_images,
const int *requested_pixel_types,
const unsigned char *data_ptr, size_t data_len,
int compression_type, int line_order, int width,
int height, int x_stride, int y, int line_no,
int num_lines, size_t pixel_data_size,
size_t num_attributes,
const EXRAttribute *attributes, size_t num_channels,
const EXRChannelInfo *channels,
const std::vector<size_t> &channel_offset_list) {
if (compression_type == TINYEXR_COMPRESSIONTYPE_PIZ) { // PIZ
#if TINYEXR_USE_PIZ
// Allocate original data size.
std::vector<unsigned char> outBuf(
static_cast<size_t>(width * num_lines * pixel_data_size));
size_t tmpBufLen = static_cast<size_t>(width * num_lines * pixel_data_size);
bool ret = tinyexr::DecompressPiz(
reinterpret_cast<unsigned char *>(&outBuf.at(0)), data_ptr, tmpBufLen,
num_channels, channels, width, num_lines);
assert(ret);
// For PIZ_COMPRESSION:
// pixel sample data for channel 0 for scanline 0
// pixel sample data for channel 1 for scanline 0
// pixel sample data for channel ... for scanline 0
// pixel sample data for channel n for scanline 0
// pixel sample data for channel 0 for scanline 1
// pixel sample data for channel 1 for scanline 1
// pixel sample data for channel ... for scanline 1
// pixel sample data for channel n for scanline 1
// ...
for (int c = 0; c < static_cast<int>(num_channels); c++) {
if (channels[c].pixel_type == TINYEXR_PIXELTYPE_HALF) {
for (int v = 0; v < num_lines; v++) {
const unsigned short *line_ptr = reinterpret_cast<unsigned short *>(
&outBuf.at(v * pixel_data_size * width +
channel_offset_list[c] * width));
for (int u = 0; u < width; u++) {
FP16 hf;
hf.u = line_ptr[u];
tinyexr::swap2(reinterpret_cast<unsigned short *>(&hf.u));
if (requested_pixel_types[c] == TINYEXR_PIXELTYPE_HALF) {
unsigned short *image =
reinterpret_cast<unsigned short **>(out_images)[c];
if (line_order == 0) {
image += (line_no + v) * x_stride + u;
} else {
image += (height - 1 - (line_no + v)) * x_stride + u;
}
*image = hf.u;
} else { // HALF -> FLOAT
FP32 f32 = half_to_float(hf);
float *image = reinterpret_cast<float **>(out_images)[c];
if (line_order == 0) {
image += (line_no + v) * x_stride + u;
} else {
image += (height - 1 - (line_no + v)) * x_stride + u;
}
*image = f32.f;
}
}
}
} else if (channels[c].pixel_type == TINYEXR_PIXELTYPE_UINT) {
assert(requested_pixel_types[c] == TINYEXR_PIXELTYPE_UINT);
for (int v = 0; v < num_lines; v++) {
const unsigned int *line_ptr = reinterpret_cast<unsigned int *>(
&outBuf.at(v * pixel_data_size * width +
channel_offset_list[c] * width));
for (int u = 0; u < width; u++) {
unsigned int val = line_ptr[u];
tinyexr::swap4(&val);
unsigned int *image =
reinterpret_cast<unsigned int **>(out_images)[c];
if (line_order == 0) {
image += (line_no + v) * x_stride + u;
} else {
image += (height - 1 - (line_no + v)) * x_stride + u;
}
*image = val;
}
}
} else if (channels[c].pixel_type == TINYEXR_PIXELTYPE_FLOAT) {
assert(requested_pixel_types[c] == TINYEXR_PIXELTYPE_FLOAT);
for (int v = 0; v < num_lines; v++) {
const float *line_ptr = reinterpret_cast<float *>(
&outBuf.at(v * pixel_data_size * x_stride +
channel_offset_list[c] * x_stride));
for (int u = 0; u < width; u++) {
float val = line_ptr[u];
tinyexr::swap4(reinterpret_cast<unsigned int *>(&val));
float *image = reinterpret_cast<float **>(out_images)[c];
if (line_order == 0) {
image += (line_no + v) * x_stride + u;
} else {
image += (height - 1 - (line_no + v)) * x_stride + u;
}
*image = val;
}
}
} else {
assert(0);
}
}
#else
assert(0 && "PIZ is enabled in this build");
#endif
} else if (compression_type == TINYEXR_COMPRESSIONTYPE_ZIPS ||
compression_type == TINYEXR_COMPRESSIONTYPE_ZIP) {
// Allocate original data size.
std::vector<unsigned char> outBuf(static_cast<size_t>(width) *
static_cast<size_t>(num_lines) *
pixel_data_size);
unsigned long dstLen = outBuf.size();
assert(dstLen > 0);
tinyexr::DecompressZip(reinterpret_cast<unsigned char *>(&outBuf.at(0)),
&dstLen, data_ptr,
static_cast<unsigned long>(data_len));
// For ZIP_COMPRESSION:
// pixel sample data for channel 0 for scanline 0
// pixel sample data for channel 1 for scanline 0
// pixel sample data for channel ... for scanline 0
// pixel sample data for channel n for scanline 0
// pixel sample data for channel 0 for scanline 1
// pixel sample data for channel 1 for scanline 1
// pixel sample data for channel ... for scanline 1
// pixel sample data for channel n for scanline 1
// ...
for (size_t c = 0; c < static_cast<size_t>(num_channels); c++) {
if (channels[c].pixel_type == TINYEXR_PIXELTYPE_HALF) {
for (size_t v = 0; v < static_cast<size_t>(num_lines); v++) {
const unsigned short *line_ptr = reinterpret_cast<unsigned short *>(
&outBuf.at(v * static_cast<size_t>(pixel_data_size) *
static_cast<size_t>(width) +
channel_offset_list[c] * static_cast<size_t>(width)));
for (size_t u = 0; u < static_cast<size_t>(width); u++) {
tinyexr::FP16 hf;
hf.u = line_ptr[u];
tinyexr::swap2(reinterpret_cast<unsigned short *>(&hf.u));
if (requested_pixel_types[c] == TINYEXR_PIXELTYPE_HALF) {
unsigned short *image =
reinterpret_cast<unsigned short **>(out_images)[c];
if (line_order == 0) {
image += (static_cast<size_t>(line_no) + v) *
static_cast<size_t>(x_stride) +
u;
} else {
image += (static_cast<size_t>(height) - 1U -
(static_cast<size_t>(line_no) + v)) *
static_cast<size_t>(x_stride) +
u;
}
*image = hf.u;
} else { // HALF -> FLOAT
tinyexr::FP32 f32 = half_to_float(hf);
float *image = reinterpret_cast<float **>(out_images)[c];
if (line_order == 0) {
image += (static_cast<size_t>(line_no) + v) *
static_cast<size_t>(x_stride) +
u;
} else {
image += (static_cast<size_t>(height) - 1U -
(static_cast<size_t>(line_no) + v)) *
static_cast<size_t>(x_stride) +
u;
}
*image = f32.f;
}
}
}
} else if (channels[c].pixel_type == TINYEXR_PIXELTYPE_UINT) {
assert(requested_pixel_types[c] == TINYEXR_PIXELTYPE_UINT);
for (size_t v = 0; v < static_cast<size_t>(num_lines); v++) {
const unsigned int *line_ptr = reinterpret_cast<unsigned int *>(
&outBuf.at(v * pixel_data_size * static_cast<size_t>(width) +
channel_offset_list[c] * static_cast<size_t>(width)));
for (size_t u = 0; u < static_cast<size_t>(width); u++) {
unsigned int val = line_ptr[u];
tinyexr::swap4(&val);
unsigned int *image =
reinterpret_cast<unsigned int **>(out_images)[c];
if (line_order == 0) {
image += (static_cast<size_t>(line_no) + v) *
static_cast<size_t>(x_stride) +
u;
} else {
image += (static_cast<size_t>(height) - 1U -
(static_cast<size_t>(line_no) + v)) *
static_cast<size_t>(x_stride) +
u;
}
*image = val;
}
}
} else if (channels[c].pixel_type == TINYEXR_PIXELTYPE_FLOAT) {
assert(requested_pixel_types[c] == TINYEXR_PIXELTYPE_FLOAT);
for (size_t v = 0; v < static_cast<size_t>(num_lines); v++) {
const float *line_ptr = reinterpret_cast<float *>(
&outBuf.at(v * pixel_data_size * static_cast<size_t>(width) +
channel_offset_list[c] * static_cast<size_t>(width)));
for (size_t u = 0; u < static_cast<size_t>(width); u++) {
float val = line_ptr[u];
tinyexr::swap4(reinterpret_cast<unsigned int *>(&val));
float *image = reinterpret_cast<float **>(out_images)[c];
if (line_order == 0) {
image += (static_cast<size_t>(line_no) + v) *
static_cast<size_t>(x_stride) +
u;
} else {
image += (static_cast<size_t>(height) - 1U -
(static_cast<size_t>(line_no) + v)) *
static_cast<size_t>(x_stride) +
u;
}
*image = val;
}
}
} else {
assert(0);
}
}
} else if (compression_type == TINYEXR_COMPRESSIONTYPE_RLE) {
// Allocate original data size.
std::vector<unsigned char> outBuf(static_cast<size_t>(width) *
static_cast<size_t>(num_lines) *
pixel_data_size);
unsigned long dstLen = outBuf.size();
assert(dstLen > 0);
tinyexr::DecompressRle(reinterpret_cast<unsigned char *>(&outBuf.at(0)),
dstLen, data_ptr,
static_cast<unsigned long>(data_len));
// For ZIP_COMPRESSION:
// pixel sample data for channel 0 for scanline 0
// pixel sample data for channel 1 for scanline 0
// pixel sample data for channel ... for scanline 0
// pixel sample data for channel n for scanline 0
// pixel sample data for channel 0 for scanline 1
// pixel sample data for channel 1 for scanline 1
// pixel sample data for channel ... for scanline 1
// pixel sample data for channel n for scanline 1
// ...
for (size_t c = 0; c < static_cast<size_t>(num_channels); c++) {
if (channels[c].pixel_type == TINYEXR_PIXELTYPE_HALF) {
for (size_t v = 0; v < static_cast<size_t>(num_lines); v++) {
const unsigned short *line_ptr = reinterpret_cast<unsigned short *>(
&outBuf.at(v * static_cast<size_t>(pixel_data_size) *
static_cast<size_t>(width) +
channel_offset_list[c] * static_cast<size_t>(width)));
for (size_t u = 0; u < static_cast<size_t>(width); u++) {
tinyexr::FP16 hf;
hf.u = line_ptr[u];
tinyexr::swap2(reinterpret_cast<unsigned short *>(&hf.u));
if (requested_pixel_types[c] == TINYEXR_PIXELTYPE_HALF) {
unsigned short *image =
reinterpret_cast<unsigned short **>(out_images)[c];
if (line_order == 0) {
image += (static_cast<size_t>(line_no) + v) *
static_cast<size_t>(x_stride) +
u;
} else {
image += (static_cast<size_t>(height) - 1U -
(static_cast<size_t>(line_no) + v)) *
static_cast<size_t>(x_stride) +
u;
}
*image = hf.u;
} else { // HALF -> FLOAT
tinyexr::FP32 f32 = half_to_float(hf);
float *image = reinterpret_cast<float **>(out_images)[c];
if (line_order == 0) {
image += (static_cast<size_t>(line_no) + v) *
static_cast<size_t>(x_stride) +
u;
} else {
image += (static_cast<size_t>(height) - 1U -
(static_cast<size_t>(line_no) + v)) *
static_cast<size_t>(x_stride) +
u;
}
*image = f32.f;
}
}
}
} else if (channels[c].pixel_type == TINYEXR_PIXELTYPE_UINT) {
assert(requested_pixel_types[c] == TINYEXR_PIXELTYPE_UINT);
for (size_t v = 0; v < static_cast<size_t>(num_lines); v++) {
const unsigned int *line_ptr = reinterpret_cast<unsigned int *>(
&outBuf.at(v * pixel_data_size * static_cast<size_t>(width) +
channel_offset_list[c] * static_cast<size_t>(width)));
for (size_t u = 0; u < static_cast<size_t>(width); u++) {
unsigned int val = line_ptr[u];
tinyexr::swap4(&val);
unsigned int *image =
reinterpret_cast<unsigned int **>(out_images)[c];
if (line_order == 0) {
image += (static_cast<size_t>(line_no) + v) *
static_cast<size_t>(x_stride) +
u;
} else {
image += (static_cast<size_t>(height) - 1U -
(static_cast<size_t>(line_no) + v)) *
static_cast<size_t>(x_stride) +
u;
}
*image = val;
}
}
} else if (channels[c].pixel_type == TINYEXR_PIXELTYPE_FLOAT) {
assert(requested_pixel_types[c] == TINYEXR_PIXELTYPE_FLOAT);
for (size_t v = 0; v < static_cast<size_t>(num_lines); v++) {
const float *line_ptr = reinterpret_cast<float *>(
&outBuf.at(v * pixel_data_size * static_cast<size_t>(width) +
channel_offset_list[c] * static_cast<size_t>(width)));
for (size_t u = 0; u < static_cast<size_t>(width); u++) {
float val = line_ptr[u];
tinyexr::swap4(reinterpret_cast<unsigned int *>(&val));
float *image = reinterpret_cast<float **>(out_images)[c];
if (line_order == 0) {
image += (static_cast<size_t>(line_no) + v) *
static_cast<size_t>(x_stride) +
u;
} else {
image += (static_cast<size_t>(height) - 1U -
(static_cast<size_t>(line_no) + v)) *
static_cast<size_t>(x_stride) +
u;
}
*image = val;
}
}
} else {
assert(0);
}
}
} else if (compression_type == TINYEXR_COMPRESSIONTYPE_ZFP) {
#if TINYEXR_USE_ZFP
tinyexr::ZFPCompressionParam zfp_compression_param;
if (!FindZFPCompressionParam(&zfp_compression_param, attributes,
num_attributes)) {
assert(0);
return;
}
// Allocate original data size.
std::vector<unsigned char> outBuf(static_cast<size_t>(width) *
static_cast<size_t>(num_lines) *
pixel_data_size);
unsigned long dstLen = outBuf.size();
assert(dstLen > 0);
tinyexr::DecompressZfp(reinterpret_cast<float *>(&outBuf.at(0)), width,
num_lines, num_channels, data_ptr,
static_cast<unsigned long>(data_len),
zfp_compression_param);
// For ZFP_COMPRESSION:
// pixel sample data for channel 0 for scanline 0
// pixel sample data for channel 1 for scanline 0
// pixel sample data for channel ... for scanline 0
// pixel sample data for channel n for scanline 0
// pixel sample data for channel 0 for scanline 1
// pixel sample data for channel 1 for scanline 1
// pixel sample data for channel ... for scanline 1
// pixel sample data for channel n for scanline 1
// ...
for (size_t c = 0; c < static_cast<size_t>(num_channels); c++) {
assert(channels[c].pixel_type == TINYEXR_PIXELTYPE_FLOAT);
if (channels[c].pixel_type == TINYEXR_PIXELTYPE_FLOAT) {
assert(requested_pixel_types[c] == TINYEXR_PIXELTYPE_FLOAT);
for (size_t v = 0; v < static_cast<size_t>(num_lines); v++) {
const float *line_ptr = reinterpret_cast<float *>(
&outBuf.at(v * pixel_data_size * static_cast<size_t>(width) +
channel_offset_list[c] * static_cast<size_t>(width)));
for (size_t u = 0; u < static_cast<size_t>(width); u++) {
float val = line_ptr[u];
tinyexr::swap4(reinterpret_cast<unsigned int *>(&val));
float *image = reinterpret_cast<float **>(out_images)[c];
if (line_order == 0) {
image += (static_cast<size_t>(line_no) + v) *
static_cast<size_t>(x_stride) +
u;
} else {
image += (static_cast<size_t>(height) - 1U -
(static_cast<size_t>(line_no) + v)) *
static_cast<size_t>(x_stride) +
u;
}
*image = val;
}
}
} else {
assert(0);
}
}
#else
(void)attributes;
(void)num_attributes;
(void)num_channels;
assert(0);
#endif
} else if (compression_type == TINYEXR_COMPRESSIONTYPE_NONE) {
for (size_t c = 0; c < num_channels; c++) {
if (channels[c].pixel_type == TINYEXR_PIXELTYPE_HALF) {
const unsigned short *line_ptr =
reinterpret_cast<const unsigned short *>(
data_ptr +
c * static_cast<size_t>(width) * sizeof(unsigned short));
if (requested_pixel_types[c] == TINYEXR_PIXELTYPE_HALF) {
unsigned short *outLine =
reinterpret_cast<unsigned short *>(out_images[c]);
if (line_order == 0) {
outLine += y * x_stride;
} else {
outLine += (height - 1 - y) * x_stride;
}
for (int u = 0; u < width; u++) {
tinyexr::FP16 hf;
hf.u = line_ptr[u];
tinyexr::swap2(reinterpret_cast<unsigned short *>(&hf.u));
outLine[u] = hf.u;
}
} else if (requested_pixel_types[c] == TINYEXR_PIXELTYPE_FLOAT) {
float *outLine = reinterpret_cast<float *>(out_images[c]);
if (line_order == 0) {
outLine += y * x_stride;
} else {
outLine += (height - 1 - y) * x_stride;
}
for (int u = 0; u < width; u++) {
tinyexr::FP16 hf;
hf.u = line_ptr[u];
tinyexr::swap2(reinterpret_cast<unsigned short *>(&hf.u));
tinyexr::FP32 f32 = half_to_float(hf);
outLine[u] = f32.f;
}
} else {
assert(0);
}
} else if (channels[c].pixel_type == TINYEXR_PIXELTYPE_FLOAT) {
const float *line_ptr = reinterpret_cast<const float *>(
data_ptr + c * static_cast<size_t>(width) * sizeof(float));
float *outLine = reinterpret_cast<float *>(out_images[c]);
if (line_order == 0) {
outLine += y * x_stride;
} else {
outLine += (height - 1 - y) * x_stride;
}
for (int u = 0; u < width; u++) {
float val = line_ptr[u];
tinyexr::swap4(reinterpret_cast<unsigned int *>(&val));
outLine[u] = val;
}
} else if (channels[c].pixel_type == TINYEXR_PIXELTYPE_UINT) {
const unsigned int *line_ptr = reinterpret_cast<const unsigned int *>(
data_ptr + c * static_cast<size_t>(width) * sizeof(unsigned int));
unsigned int *outLine = reinterpret_cast<unsigned int *>(out_images[c]);
if (line_order == 0) {
outLine += y * x_stride;
} else {
outLine += (height - 1 - y) * x_stride;
}
for (int u = 0; u < width; u++) {
unsigned int val = line_ptr[u];
tinyexr::swap4(reinterpret_cast<unsigned int *>(&val));
outLine[u] = val;
}
}
}
}
}
static void DecodeTiledPixelData(
unsigned char **out_images, int *width, int *height,
const int *requested_pixel_types, const unsigned char *data_ptr,
size_t data_len, int compression_type, int line_order, int data_width,
int data_height, int tile_offset_x, int tile_offset_y, int tile_size_x,
int tile_size_y, size_t pixel_data_size, size_t num_attributes,
const EXRAttribute *attributes, size_t num_channels,
const EXRChannelInfo *channels,
const std::vector<size_t> &channel_offset_list) {
assert(tile_offset_x * tile_size_x < data_width);
assert(tile_offset_y * tile_size_y < data_height);
// Compute actual image size in a tile.
if ((tile_offset_x + 1) * tile_size_x >= data_width) {
(*width) = data_width - (tile_offset_x * tile_size_x);
} else {
(*width) = tile_size_x;
}
if ((tile_offset_y + 1) * tile_size_y >= data_height) {
(*height) = data_height - (tile_offset_y * tile_size_y);
} else {
(*height) = tile_size_y;
}
// Image size = tile size.
DecodePixelData(out_images, requested_pixel_types, data_ptr, data_len,
compression_type, line_order, (*width), tile_size_y,
/* stride */ tile_size_x, /* y */ 0, /* line_no */ 0,
(*height), pixel_data_size, num_attributes, attributes,
num_channels, channels, channel_offset_list);
}
static void ComputeChannelLayout(std::vector<size_t> *channel_offset_list,
int *pixel_data_size, size_t *channel_offset,
int num_channels,
const EXRChannelInfo *channels) {
channel_offset_list->resize(static_cast<size_t>(num_channels));
(*pixel_data_size) = 0;
(*channel_offset) = 0;
for (size_t c = 0; c < static_cast<size_t>(num_channels); c++) {
(*channel_offset_list)[c] = (*channel_offset);
if (channels[c].pixel_type == TINYEXR_PIXELTYPE_HALF) {
(*pixel_data_size) += sizeof(unsigned short);
(*channel_offset) += sizeof(unsigned short);
} else if (channels[c].pixel_type == TINYEXR_PIXELTYPE_FLOAT) {
(*pixel_data_size) += sizeof(float);
(*channel_offset) += sizeof(float);
} else if (channels[c].pixel_type == TINYEXR_PIXELTYPE_UINT) {
(*pixel_data_size) += sizeof(unsigned int);
(*channel_offset) += sizeof(unsigned int);
} else {
assert(0);
}
}
}
static unsigned char **AllocateImage(int num_channels,
const EXRChannelInfo *channels,
const int *requested_pixel_types,
int data_width, int data_height) {
unsigned char **images =
reinterpret_cast<unsigned char **>(static_cast<float **>(
malloc(sizeof(float *) * static_cast<size_t>(num_channels))));
for (size_t c = 0; c < static_cast<size_t>(num_channels); c++) {
size_t data_len =
static_cast<size_t>(data_width) * static_cast<size_t>(data_height);
if (channels[c].pixel_type == TINYEXR_PIXELTYPE_HALF) {
// pixel_data_size += sizeof(unsigned short);
// channel_offset += sizeof(unsigned short);
// Alloc internal image for half type.
if (requested_pixel_types[c] == TINYEXR_PIXELTYPE_HALF) {
images[c] =
reinterpret_cast<unsigned char *>(static_cast<unsigned short *>(
malloc(sizeof(unsigned short) * data_len)));
} else if (requested_pixel_types[c] == TINYEXR_PIXELTYPE_FLOAT) {
images[c] = reinterpret_cast<unsigned char *>(
static_cast<float *>(malloc(sizeof(float) * data_len)));
} else {
assert(0);
}
} else if (channels[c].pixel_type == TINYEXR_PIXELTYPE_FLOAT) {
// pixel_data_size += sizeof(float);
// channel_offset += sizeof(float);
images[c] = reinterpret_cast<unsigned char *>(
static_cast<float *>(malloc(sizeof(float) * data_len)));
} else if (channels[c].pixel_type == TINYEXR_PIXELTYPE_UINT) {
// pixel_data_size += sizeof(unsigned int);
// channel_offset += sizeof(unsigned int);
images[c] = reinterpret_cast<unsigned char *>(
static_cast<unsigned int *>(malloc(sizeof(unsigned int) * data_len)));
} else {
assert(0);
}
}
return images;
}
static int ParseEXRHeader(HeaderInfo *info, bool *empty_header,
const EXRVersion *version, std::string *err,
const unsigned char *buf) {
const char *marker = reinterpret_cast<const char *>(&buf[0]);
if (empty_header) {
(*empty_header) = false;
}
if (version->multipart) {
if (marker[0] == '\0') {
// End of header list.
if (empty_header) {
(*empty_header) = true;
}
return TINYEXR_SUCCESS;
}
}
info->data_window[0] = 0;
info->data_window[1] = 0;
info->data_window[2] = 0;
info->data_window[3] = 0;
info->line_order = 0; // @fixme
info->display_window[0] = 0;
info->display_window[1] = 0;
info->display_window[2] = 0;
info->display_window[3] = 0;
info->screen_window_center[0] = 0.0f;
info->screen_window_center[1] = 0.0f;
info->screen_window_width = -1.0f;
info->pixel_aspect_ratio = -1.0f;
info->tile_size_x = -1;
info->tile_size_y = -1;
info->tile_level_mode = -1;
info->tile_rounding_mode = -1;
info->attributes.clear();
// Read attributes
for (;;) {
std::string attr_name;
std::string attr_type;
std::vector<unsigned char> data;
const char *marker_next =
tinyexr::ReadAttribute(&attr_name, &attr_type, &data, marker);
if (marker_next == NULL) {
marker++; // skip '\0'
break;
}
if (version->tiled && attr_name.compare("tiles") == 0) {
unsigned int x_size, y_size;
unsigned char tile_mode;
assert(data.size() == 9);
memcpy(&x_size, &data.at(0), sizeof(int));
memcpy(&y_size, &data.at(4), sizeof(int));
tile_mode = data[8];
tinyexr::swap4(&x_size);
tinyexr::swap4(&y_size);
info->tile_size_x = static_cast<int>(x_size);
info->tile_size_y = static_cast<int>(y_size);
// mode = levelMode + roundingMode * 16
info->tile_level_mode = tile_mode & 0x3;
info->tile_rounding_mode = (tile_mode >> 4) & 0x1;
} else if (attr_name.compare("compression") == 0) {
bool ok = false;
if ((data[0] >= TINYEXR_COMPRESSIONTYPE_NONE) &&
(data[0] < TINYEXR_COMPRESSIONTYPE_PIZ)) {
ok = true;
}
if (data[0] == TINYEXR_COMPRESSIONTYPE_PIZ) {
#if TINYEXR_USE_PIZ
ok = true;
#else
if (err) {
(*err) = "PIZ compression is not supported.";
}
return TINYEXR_ERROR_UNSUPPORTED_FORMAT;
#endif
}
if (data[0] == TINYEXR_COMPRESSIONTYPE_ZFP) {
#if TINYEXR_USE_ZFP
ok = true;
#else
if (err) {
(*err) = "ZFP compression is not supported.";
}
return TINYEXR_ERROR_UNSUPPORTED_FORMAT;
#endif
}
if (!ok) {
if (err) {
(*err) = "Unknown compression type.";
}
return TINYEXR_ERROR_UNSUPPORTED_FORMAT;
}
info->compression_type = static_cast<int>(data[0]);
} else if (attr_name.compare("channels") == 0) {
// name: zero-terminated string, from 1 to 255 bytes long
// pixel type: int, possible values are: UINT = 0 HALF = 1 FLOAT = 2
// pLinear: unsigned char, possible values are 0 and 1
// reserved: three chars, should be zero
// xSampling: int
// ySampling: int
ReadChannelInfo(info->channels, data);
if (info->channels.size() < 1) {
if (err) {
(*err) = "# of channels is zero.";
}
return TINYEXR_ERROR_INVALID_DATA;
}
} else if (attr_name.compare("dataWindow") == 0) {
memcpy(&info->data_window[0], &data.at(0), sizeof(int));
memcpy(&info->data_window[1], &data.at(4), sizeof(int));
memcpy(&info->data_window[2], &data.at(8), sizeof(int));
memcpy(&info->data_window[3], &data.at(12), sizeof(int));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&info->data_window[0]));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&info->data_window[1]));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&info->data_window[2]));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&info->data_window[3]));
} else if (attr_name.compare("displayWindow") == 0) {
memcpy(&info->display_window[0], &data.at(0), sizeof(int));
memcpy(&info->display_window[1], &data.at(4), sizeof(int));
memcpy(&info->display_window[2], &data.at(8), sizeof(int));
memcpy(&info->display_window[3], &data.at(12), sizeof(int));
tinyexr::swap4(
reinterpret_cast<unsigned int *>(&info->display_window[0]));
tinyexr::swap4(
reinterpret_cast<unsigned int *>(&info->display_window[1]));
tinyexr::swap4(
reinterpret_cast<unsigned int *>(&info->display_window[2]));
tinyexr::swap4(
reinterpret_cast<unsigned int *>(&info->display_window[3]));
} else if (attr_name.compare("lineOrder") == 0) {
info->line_order = static_cast<int>(data[0]);
} else if (attr_name.compare("pixelAspectRatio") == 0) {
memcpy(&info->pixel_aspect_ratio, &data.at(0), sizeof(float));
tinyexr::swap4(
reinterpret_cast<unsigned int *>(&info->pixel_aspect_ratio));
} else if (attr_name.compare("screenWindowCenter") == 0) {
memcpy(&info->screen_window_center[0], &data.at(0), sizeof(float));
memcpy(&info->screen_window_center[1], &data.at(4), sizeof(float));
tinyexr::swap4(
reinterpret_cast<unsigned int *>(&info->screen_window_center[0]));
tinyexr::swap4(
reinterpret_cast<unsigned int *>(&info->screen_window_center[1]));
} else if (attr_name.compare("screenWindowWidth") == 0) {
memcpy(&info->screen_window_width, &data.at(0), sizeof(float));
tinyexr::swap4(
reinterpret_cast<unsigned int *>(&info->screen_window_width));
} else if (attr_name.compare("chunkCount") == 0) {
memcpy(&info->chunk_count, &data.at(0), sizeof(int));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&info->chunk_count));
} else {
// Custom attribute(up to TINYEXR_MAX_ATTRIBUTES)
if (info->attributes.size() < TINYEXR_MAX_ATTRIBUTES) {
EXRAttribute attrib;
strncpy(attrib.name, attr_name.c_str(), 255);
attrib.name[255] = '\0';
strncpy(attrib.type, attr_type.c_str(), 255);
attrib.type[255] = '\0';
attrib.size = static_cast<int>(data.size());
attrib.value = static_cast<unsigned char *>(malloc(data.size()));
memcpy(reinterpret_cast<char *>(attrib.value), &data.at(0),
data.size());
info->attributes.push_back(attrib);
}
}
marker = marker_next;
}
info->header_len = static_cast<unsigned int>(
reinterpret_cast<const unsigned char *>(marker) - buf);
return TINYEXR_SUCCESS;
}
// C++ HeaderInfo to C EXRHeader conversion.
static void ConvertHeader(EXRHeader *exr_header, const HeaderInfo &info) {
exr_header->pixel_aspect_ratio = info.pixel_aspect_ratio;
exr_header->screen_window_center[0] = info.screen_window_center[0];
exr_header->screen_window_center[1] = info.screen_window_center[1];
exr_header->screen_window_width = info.screen_window_width;
exr_header->chunk_count = info.chunk_count;
exr_header->display_window[0] = info.display_window[0];
exr_header->display_window[1] = info.display_window[1];
exr_header->display_window[2] = info.display_window[2];
exr_header->display_window[3] = info.display_window[3];
exr_header->data_window[0] = info.data_window[0];
exr_header->data_window[1] = info.data_window[1];
exr_header->data_window[2] = info.data_window[2];
exr_header->data_window[3] = info.data_window[3];
exr_header->line_order = info.line_order;
exr_header->compression_type = info.compression_type;
exr_header->tile_size_x = info.tile_size_x;
exr_header->tile_size_y = info.tile_size_y;
exr_header->tile_level_mode = info.tile_level_mode;
exr_header->tile_rounding_mode = info.tile_rounding_mode;
exr_header->num_channels = static_cast<int>(info.channels.size());
exr_header->channels = static_cast<EXRChannelInfo *>(malloc(
sizeof(EXRChannelInfo) * static_cast<size_t>(exr_header->num_channels)));
for (size_t c = 0; c < static_cast<size_t>(exr_header->num_channels); c++) {
strncpy(exr_header->channels[c].name, info.channels[c].name.c_str(), 255);
// manually add '\0' for safety.
exr_header->channels[c].name[255] = '\0';
exr_header->channels[c].pixel_type = info.channels[c].pixel_type;
exr_header->channels[c].p_linear = info.channels[c].p_linear;
exr_header->channels[c].x_sampling = info.channels[c].x_sampling;
exr_header->channels[c].y_sampling = info.channels[c].y_sampling;
}
exr_header->pixel_types = static_cast<int *>(
malloc(sizeof(int) * static_cast<size_t>(exr_header->num_channels)));
for (size_t c = 0; c < static_cast<size_t>(exr_header->num_channels); c++) {
exr_header->pixel_types[c] = info.channels[c].pixel_type;
}
// Initially fill with values of `pixel_types`
exr_header->requested_pixel_types = static_cast<int *>(
malloc(sizeof(int) * static_cast<size_t>(exr_header->num_channels)));
for (size_t c = 0; c < static_cast<size_t>(exr_header->num_channels); c++) {
exr_header->requested_pixel_types[c] = info.channels[c].pixel_type;
}
assert(info.attributes.size() < TINYEXR_MAX_ATTRIBUTES);
exr_header->num_custom_attributes = static_cast<int>(info.attributes.size());
for (size_t i = 0; i < info.attributes.size(); i++) {
memcpy(exr_header->custom_attributes[i].name, info.attributes[i].name, 256);
memcpy(exr_header->custom_attributes[i].type, info.attributes[i].type, 256);
exr_header->custom_attributes[i].size = info.attributes[i].size;
// Just copy poiner
exr_header->custom_attributes[i].value = info.attributes[i].value;
}
exr_header->header_len = info.header_len;
}
static int DecodeChunk(EXRImage *exr_image, const EXRHeader *exr_header,
const std::vector<unsigned long long> &offsets,
const unsigned char *head) {
int num_channels = exr_header->num_channels;
int num_scanline_blocks = 1;
if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_ZIP) {
num_scanline_blocks = 16;
} else if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_PIZ) {
num_scanline_blocks = 32;
} else if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_ZFP) {
num_scanline_blocks = 16;
}
int data_width = exr_header->data_window[2] - exr_header->data_window[0] + 1;
int data_height = exr_header->data_window[3] - exr_header->data_window[1] + 1;
size_t num_blocks = offsets.size();
std::vector<size_t> channel_offset_list;
int pixel_data_size = 0;
size_t channel_offset = 0;
tinyexr::ComputeChannelLayout(&channel_offset_list, &pixel_data_size,
&channel_offset, num_channels,
exr_header->channels);
if (exr_header->tiled) {
size_t num_tiles = offsets.size(); // = # of blocks
exr_image->tiles = static_cast<EXRTile *>(
malloc(sizeof(EXRTile) * static_cast<size_t>(num_tiles)));
for (size_t tile_idx = 0; tile_idx < num_tiles; tile_idx++) {
// Allocate memory for each tile.
exr_image->tiles[tile_idx].images = tinyexr::AllocateImage(
num_channels, exr_header->channels, exr_header->requested_pixel_types,
data_width, data_height);
// 16 byte: tile coordinates
// 4 byte : data size
// ~ : data(uncompressed or compressed)
const unsigned char *data_ptr =
reinterpret_cast<const unsigned char *>(head + offsets[tile_idx]);
int tile_coordinates[4];
memcpy(tile_coordinates, data_ptr, sizeof(int) * 4);
tinyexr::swap4(reinterpret_cast<unsigned int *>(&tile_coordinates[0]));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&tile_coordinates[1]));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&tile_coordinates[2]));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&tile_coordinates[3]));
// @todo{ LoD }
assert(tile_coordinates[2] == 0);
assert(tile_coordinates[3] == 0);
int data_len;
memcpy(&data_len, data_ptr + 16,
sizeof(int)); // 16 = sizeof(tile_coordinates)
tinyexr::swap4(reinterpret_cast<unsigned int *>(&data_len));
assert(data_len >= 4);
// Move to data addr: 20 = 16 + 4;
data_ptr += 20;
tinyexr::DecodeTiledPixelData(
exr_image->tiles[tile_idx].images,
&(exr_image->tiles[tile_idx].width),
&(exr_image->tiles[tile_idx].height),
exr_header->requested_pixel_types, data_ptr,
static_cast<size_t>(data_len), exr_header->compression_type,
exr_header->line_order, data_width, data_height, tile_coordinates[0],
tile_coordinates[1], exr_header->tile_size_x, exr_header->tile_size_y,
static_cast<size_t>(pixel_data_size),
static_cast<int>(exr_header->num_custom_attributes),
exr_header->custom_attributes,
static_cast<size_t>(exr_header->num_channels), exr_header->channels,
channel_offset_list);
exr_image->tiles[tile_idx].offset_x = tile_coordinates[0];
exr_image->tiles[tile_idx].offset_y = tile_coordinates[1];
exr_image->tiles[tile_idx].level_x = tile_coordinates[2];
exr_image->tiles[tile_idx].level_y = tile_coordinates[3];
exr_image->num_tiles = static_cast<int>(num_tiles);
}
} else { // scanline format
exr_image->images = tinyexr::AllocateImage(
num_channels, exr_header->channels, exr_header->requested_pixel_types,
data_width, data_height);
#ifdef _OPENMP
#pragma omp parallel for
#endif
for (int y = 0; y < static_cast<int>(num_blocks); y++) {
size_t y_idx = static_cast<size_t>(y);
const unsigned char *data_ptr =
reinterpret_cast<const unsigned char *>(head + offsets[y_idx]);
// 4 byte: scan line
// 4 byte: data size
// ~ : pixel data(uncompressed or compressed)
int line_no;
memcpy(&line_no, data_ptr, sizeof(int));
int data_len;
memcpy(&data_len, data_ptr + 4, sizeof(int));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&line_no));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&data_len));
int end_line_no = (std::min)(line_no + num_scanline_blocks,
(exr_header->data_window[3] + 1));
int num_lines = end_line_no - line_no;
assert(num_lines > 0);
// printf("num_blocks = %lu, y = %d, lineno = %d, end_line_no = %d,
// num_lines = %d, data_len = %d\n", num_blocks, y, line_no, end_line_no,
// num_lines, data_len);
// Move to data addr: 8 = 4 + 4;
data_ptr += 8;
// Adjust line_no with data_window.bmin.y
line_no -= exr_header->data_window[1];
tinyexr::DecodePixelData(
exr_image->images, exr_header->requested_pixel_types, data_ptr,
static_cast<size_t>(data_len), exr_header->compression_type,
exr_header->line_order, data_width, data_height, data_width, y,
line_no, num_lines, static_cast<size_t>(pixel_data_size),
static_cast<int>(exr_header->num_custom_attributes),
exr_header->custom_attributes,
static_cast<size_t>(exr_header->num_channels), exr_header->channels,
channel_offset_list);
} // omp parallel
}
// Overwrite `pixel_type` with `requested_pixel_type`.
{
for (int c = 0; c < exr_header->num_channels; c++) {
exr_header->pixel_types[c] = exr_header->requested_pixel_types[c];
}
}
{
exr_image->num_channels = num_channels;
exr_image->width = data_width;
exr_image->height = data_height;
}
return TINYEXR_SUCCESS;
}
static int DecodeEXRImage(EXRImage *exr_image, const EXRHeader *exr_header,
const unsigned char *head,
const unsigned char *marker, const char **err) {
if (exr_image == NULL || exr_header == NULL || head == NULL ||
marker == NULL) {
if (err) {
(*err) = "Invalid argument.";
}
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
int num_scanline_blocks = 1;
if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_ZIP) {
num_scanline_blocks = 16;
} else if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_PIZ) {
num_scanline_blocks = 32;
} else if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_ZFP) {
num_scanline_blocks = 16;
}
int data_width = exr_header->data_window[2] - exr_header->data_window[0] + 1;
int data_height = exr_header->data_window[3] - exr_header->data_window[1] + 1;
// Read offset tables.
size_t num_blocks;
if (exr_header->chunk_count > 0) {
// Use `chunkCount` attribute.
num_blocks = exr_header->chunk_count;
} else if (exr_header->tiled) {
// @todo { LoD }
size_t num_x_tiles = static_cast<size_t>(data_width) /
static_cast<size_t>(exr_header->tile_size_x);
if (num_x_tiles * static_cast<size_t>(exr_header->tile_size_x) <
static_cast<size_t>(data_width)) {
num_x_tiles++;
}
size_t num_y_tiles = static_cast<size_t>(data_height) /
static_cast<size_t>(exr_header->tile_size_y);
if (num_y_tiles * static_cast<size_t>(exr_header->tile_size_y) <
static_cast<size_t>(data_height)) {
num_y_tiles++;
}
num_blocks = num_x_tiles * num_y_tiles;
} else {
num_blocks = static_cast<size_t>(data_height) /
static_cast<size_t>(num_scanline_blocks);
if (num_blocks * static_cast<size_t>(num_scanline_blocks) <
static_cast<size_t>(data_height)) {
num_blocks++;
}
}
std::vector<unsigned long long> offsets(num_blocks);
for (size_t y = 0; y < num_blocks; y++) {
unsigned long long offset;
memcpy(&offset, marker, sizeof(unsigned long long));
tinyexr::swap8(&offset);
marker += sizeof(unsigned long long); // = 8
offsets[y] = offset;
}
return DecodeChunk(exr_image, exr_header, offsets, head);
}
} // namespace tinyexr
int LoadEXR(float **out_rgba, int *width, int *height, const char *filename,
const char **err) {
if (out_rgba == NULL) {
if (err) {
(*err) = "Invalid argument.\n";
}
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
EXRVersion exr_version;
EXRImage exr_image;
EXRHeader exr_header;
InitEXRHeader(&exr_header);
InitEXRImage(&exr_image);
{
int ret = ParseEXRVersionFromFile(&exr_version, filename);
if (ret != TINYEXR_SUCCESS) {
return ret;
}
if (exr_version.multipart || exr_version.non_image) {
if (err) {
(*err) = "Loading multipart or DeepImage is not supported yet.\n";
}
return TINYEXR_ERROR_INVALID_DATA; // @fixme.
}
}
{
int ret = ParseEXRHeaderFromFile(&exr_header, &exr_version, filename, err);
if (ret != TINYEXR_SUCCESS) {
return ret;
}
}
// Read HALF channel as FLOAT.
for (int i = 0; i < exr_header.num_channels; i++) {
if (exr_header.pixel_types[i] == TINYEXR_PIXELTYPE_HALF) {
exr_header.requested_pixel_types[i] = TINYEXR_PIXELTYPE_FLOAT;
}
}
{
int ret = LoadEXRImageFromFile(&exr_image, &exr_header, filename, err);
if (ret != TINYEXR_SUCCESS) {
return ret;
}
}
// RGBA
int idxR = -1;
int idxG = -1;
int idxB = -1;
int idxA = -1;
for (int c = 0; c < exr_header.num_channels; c++) {
if (strcmp(exr_header.channels[c].name, "R") == 0) {
idxR = c;
} else if (strcmp(exr_header.channels[c].name, "G") == 0) {
idxG = c;
} else if (strcmp(exr_header.channels[c].name, "B") == 0) {
idxB = c;
} else if (strcmp(exr_header.channels[c].name, "A") == 0) {
idxA = c;
}
}
if (idxR == -1) {
if (err) {
(*err) = "R channel not found\n";
}
// @todo { free exr_image }
return TINYEXR_ERROR_INVALID_DATA;
}
if (idxG == -1) {
if (err) {
(*err) = "G channel not found\n";
}
// @todo { free exr_image }
return TINYEXR_ERROR_INVALID_DATA;
}
if (idxB == -1) {
if (err) {
(*err) = "B channel not found\n";
}
// @todo { free exr_image }
return TINYEXR_ERROR_INVALID_DATA;
}
(*out_rgba) = reinterpret_cast<float *>(
malloc(4 * sizeof(float) * static_cast<size_t>(exr_image.width) *
static_cast<size_t>(exr_image.height)));
for (int i = 0; i < exr_image.width * exr_image.height; i++) {
(*out_rgba)[4 * i + 0] =
reinterpret_cast<float **>(exr_image.images)[idxR][i];
(*out_rgba)[4 * i + 1] =
reinterpret_cast<float **>(exr_image.images)[idxG][i];
(*out_rgba)[4 * i + 2] =
reinterpret_cast<float **>(exr_image.images)[idxB][i];
if (idxA != -1) {
(*out_rgba)[4 * i + 3] =
reinterpret_cast<float **>(exr_image.images)[idxA][i];
} else {
(*out_rgba)[4 * i + 3] = 1.0;
}
}
(*width) = exr_image.width;
(*height) = exr_image.height;
FreeEXRHeader(&exr_header);
return TINYEXR_SUCCESS;
}
int ParseEXRHeaderFromMemory(EXRHeader *exr_header, const EXRVersion *version,
const unsigned char *memory, const char **err) {
if (memory == NULL || exr_header == NULL) {
if (err) {
(*err) = "Invalid argument.\n";
}
// Invalid argument
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
const char *buf = reinterpret_cast<const char *>(memory);
const char *marker = &buf[4 + 4]; // skip magic number + version header
tinyexr::HeaderInfo info;
info.clear();
std::string err_str;
int ret = ParseEXRHeader(&info, NULL, version, &err_str,
reinterpret_cast<const unsigned char *>(marker));
if (ret != TINYEXR_SUCCESS) {
if (err && !err_str.empty()) {
(*err) = strdup(err_str.c_str()); // May leak
}
}
ConvertHeader(exr_header, info);
// transfoer `tiled` from version.
exr_header->tiled = version->tiled;
return ret;
}
int LoadEXRFromMemory(float *out_rgba, const unsigned char *memory,
const char **err) {
if (out_rgba == NULL || memory == NULL) {
if (err) {
(*err) = "Invalid argument.\n";
}
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
EXRVersion exr_version;
EXRImage exr_image;
EXRHeader exr_header;
InitEXRHeader(&exr_header);
int ret = ParseEXRVersionFromMemory(&exr_version, memory);
if (ret != TINYEXR_SUCCESS) {
return ret;
}
ret = ParseEXRHeaderFromMemory(&exr_header, &exr_version, memory, err);
if (ret != TINYEXR_SUCCESS) {
return ret;
}
InitEXRImage(&exr_image);
ret = LoadEXRImageFromMemory(&exr_image, &exr_header, memory, err);
if (ret != TINYEXR_SUCCESS) {
return ret;
}
// RGBA
int idxR = -1;
int idxG = -1;
int idxB = -1;
int idxA = -1;
for (int c = 0; c < exr_header.num_channels; c++) {
if (strcmp(exr_header.channels[c].name, "R") == 0) {
idxR = c;
} else if (strcmp(exr_header.channels[c].name, "G") == 0) {
idxG = c;
} else if (strcmp(exr_header.channels[c].name, "B") == 0) {
idxB = c;
} else if (strcmp(exr_header.channels[c].name, "A") == 0) {
idxA = c;
}
}
if (idxR == -1) {
if (err) {
(*err) = "R channel not found\n";
}
// @todo { free exr_image }
return TINYEXR_ERROR_INVALID_DATA;
}
if (idxG == -1) {
if (err) {
(*err) = "G channel not found\n";
}
// @todo { free exr_image }
return TINYEXR_ERROR_INVALID_DATA;
}
if (idxB == -1) {
if (err) {
(*err) = "B channel not found\n";
}
// @todo { free exr_image }
return TINYEXR_ERROR_INVALID_DATA;
}
// Assume `out_rgba` have enough memory allocated.
for (int i = 0; i < exr_image.width * exr_image.height; i++) {
out_rgba[4 * i + 0] = reinterpret_cast<float **>(exr_image.images)[idxR][i];
out_rgba[4 * i + 1] = reinterpret_cast<float **>(exr_image.images)[idxG][i];
out_rgba[4 * i + 2] = reinterpret_cast<float **>(exr_image.images)[idxB][i];
if (idxA > 0) {
out_rgba[4 * i + 3] =
reinterpret_cast<float **>(exr_image.images)[idxA][i];
} else {
out_rgba[4 * i + 3] = 1.0;
}
}
return TINYEXR_SUCCESS;
}
int LoadEXRImageFromFile(EXRImage *exr_image, const EXRHeader *exr_header,
const char *filename, const char **err) {
if (exr_image == NULL) {
if (err) {
(*err) = "Invalid argument.";
}
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
#ifdef _WIN32
FILE *fp = NULL;
fopen_s(&fp, filename, "rb");
#else
FILE *fp = fopen(filename, "rb");
#endif
if (!fp) {
if (err) {
(*err) = "Cannot read file.";
}
return TINYEXR_ERROR_CANT_OPEN_FILE;
}
size_t filesize;
// Compute size
fseek(fp, 0, SEEK_END);
filesize = static_cast<size_t>(ftell(fp));
fseek(fp, 0, SEEK_SET);
std::vector<unsigned char> buf(filesize); // @todo { use mmap }
{
size_t ret;
ret = fread(&buf[0], 1, filesize, fp);
assert(ret == filesize);
fclose(fp);
(void)ret;
}
return LoadEXRImageFromMemory(exr_image, exr_header, &buf.at(0), err);
}
int LoadEXRImageFromMemory(EXRImage *exr_image, const EXRHeader *exr_header,
const unsigned char *memory, const char **err) {
if (exr_image == NULL || memory == NULL) {
if (err) {
(*err) = "Invalid argument.";
}
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
if (exr_header->header_len == 0) {
if (err) {
(*err) = "EXRHeader is not initialized.";
}
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
const unsigned char *head = memory;
const unsigned char *marker = reinterpret_cast<const unsigned char *>(
memory + exr_header->header_len +
8); // +8 for magic number + version header.
return tinyexr::DecodeEXRImage(exr_image, exr_header, head, marker, err);
}
size_t SaveEXRImageToMemory(const EXRImage *exr_image,
const EXRHeader *exr_header,
unsigned char **memory_out, const char **err) {
if (exr_image == NULL || memory_out == NULL ||
exr_header->compression_type < 0) {
if (err) {
(*err) = "Invalid argument.";
}
return 0; // @fixme
}
#if !TINYEXR_USE_PIZ
if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_PIZ) {
if (err) {
(*err) = "PIZ compression is not supported in this build.";
}
return 0;
}
#endif
#if !TINYEXR_USE_ZFP
if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_ZFP) {
if (err) {
(*err) = "ZFP compression is not supported in this build.";
}
return 0;
}
#endif
#if TINYEXR_USE_ZFP
for (size_t i = 0; i < static_cast<size_t>(exr_header->num_channels); i++) {
if (exr_header->requested_pixel_types[i] != TINYEXR_PIXELTYPE_FLOAT) {
if (err) {
(*err) = "Pixel type must be FLOAT for ZFP compression.";
}
return 0;
}
}
#endif
std::vector<unsigned char> memory;
// Header
{
const char header[] = {0x76, 0x2f, 0x31, 0x01};
memory.insert(memory.end(), header, header + 4);
}
// Version, scanline.
{
char marker[] = {2, 0, 0, 0};
/* @todo
if (exr_header->tiled) {
marker[1] |= 0x2;
}
if (exr_header->long_name) {
marker[1] |= 0x4;
}
if (exr_header->non_image) {
marker[1] |= 0x8;
}
if (exr_header->multipart) {
marker[1] |= 0x10;
}
*/
memory.insert(memory.end(), marker, marker + 4);
}
int num_scanlines = 1;
if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_ZIP) {
num_scanlines = 16;
} else if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_PIZ) {
num_scanlines = 32;
} else if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_ZFP) {
num_scanlines = 16;
}
// Write attributes.
std::vector<tinyexr::ChannelInfo> channels;
{
std::vector<unsigned char> data;
for (int c = 0; c < exr_header->num_channels; c++) {
tinyexr::ChannelInfo info;
info.p_linear = 0;
info.pixel_type = exr_header->requested_pixel_types[c];
info.x_sampling = 1;
info.y_sampling = 1;
info.name = std::string(exr_header->channels[c].name);
channels.push_back(info);
}
tinyexr::WriteChannelInfo(data, channels);
tinyexr::WriteAttributeToMemory(&memory, "channels", "chlist", &data.at(0),
static_cast<int>(data.size()));
}
{
int comp = exr_header->compression_type;
tinyexr::swap4(reinterpret_cast<unsigned int *>(&comp));
tinyexr::WriteAttributeToMemory(
&memory, "compression", "compression",
reinterpret_cast<const unsigned char *>(&comp), 1);
}
{
int data[4] = {0, 0, exr_image->width - 1, exr_image->height - 1};
tinyexr::swap4(reinterpret_cast<unsigned int *>(&data[0]));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&data[1]));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&data[2]));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&data[3]));
tinyexr::WriteAttributeToMemory(
&memory, "dataWindow", "box2i",
reinterpret_cast<const unsigned char *>(data), sizeof(int) * 4);
tinyexr::WriteAttributeToMemory(
&memory, "displayWindow", "box2i",
reinterpret_cast<const unsigned char *>(data), sizeof(int) * 4);
}
{
unsigned char line_order = 0; // @fixme { read line_order from EXRHeader }
tinyexr::WriteAttributeToMemory(&memory, "lineOrder", "lineOrder",
&line_order, 1);
}
{
float aspectRatio = 1.0f;
tinyexr::swap4(reinterpret_cast<unsigned int *>(&aspectRatio));
tinyexr::WriteAttributeToMemory(
&memory, "pixelAspectRatio", "float",
reinterpret_cast<const unsigned char *>(&aspectRatio), sizeof(float));
}
{
float center[2] = {0.0f, 0.0f};
tinyexr::swap4(reinterpret_cast<unsigned int *>(¢er[0]));
tinyexr::swap4(reinterpret_cast<unsigned int *>(¢er[1]));
tinyexr::WriteAttributeToMemory(
&memory, "screenWindowCenter", "v2f",
reinterpret_cast<const unsigned char *>(center), 2 * sizeof(float));
}
{
float w = static_cast<float>(exr_image->width);
tinyexr::swap4(reinterpret_cast<unsigned int *>(&w));
tinyexr::WriteAttributeToMemory(&memory, "screenWindowWidth", "float",
reinterpret_cast<const unsigned char *>(&w),
sizeof(float));
}
// Custom attributes
if (exr_header->num_custom_attributes > 0) {
for (int i = 0; i < exr_header->num_custom_attributes; i++) {
tinyexr::WriteAttributeToMemory(
&memory, exr_header->custom_attributes[i].name,
exr_header->custom_attributes[i].type,
reinterpret_cast<const unsigned char *>(
exr_header->custom_attributes[i].value),
exr_header->custom_attributes[i].size);
}
}
{ // end of header
unsigned char e = 0;
memory.push_back(e);
}
int num_blocks = exr_image->height / num_scanlines;
if (num_blocks * num_scanlines < exr_image->height) {
num_blocks++;
}
std::vector<unsigned long long> offsets(static_cast<size_t>(num_blocks));
size_t headerSize = memory.size();
unsigned long long offset =
headerSize +
static_cast<size_t>(num_blocks) *
sizeof(long long); // sizeof(header) + sizeof(offsetTable)
std::vector<unsigned char> data;
std::vector<std::vector<unsigned char> > data_list(
static_cast<size_t>(num_blocks));
std::vector<size_t> channel_offset_list(
static_cast<size_t>(exr_header->num_channels));
int pixel_data_size = 0;
size_t channel_offset = 0;
for (size_t c = 0; c < static_cast<size_t>(exr_header->num_channels); c++) {
channel_offset_list[c] = channel_offset;
if (exr_header->requested_pixel_types[c] == TINYEXR_PIXELTYPE_HALF) {
pixel_data_size += sizeof(unsigned short);
channel_offset += sizeof(unsigned short);
} else if (exr_header->requested_pixel_types[c] ==
TINYEXR_PIXELTYPE_FLOAT) {
pixel_data_size += sizeof(float);
channel_offset += sizeof(float);
} else if (exr_header->requested_pixel_types[c] == TINYEXR_PIXELTYPE_UINT) {
pixel_data_size += sizeof(unsigned int);
channel_offset += sizeof(unsigned int);
} else {
assert(0);
}
}
#if TINYEXR_USE_ZFP
tinyexr::ZFPCompressionParam zfp_compression_param;
// Use ZFP compression parameter from custom attributes(if such a parameter
// exists)
{
bool ret = tinyexr::FindZFPCompressionParam(
&zfp_compression_param, exr_header->custom_attributes,
exr_header->num_custom_attributes);
if (!ret) {
// Use predefined compression parameter.
zfp_compression_param.type = 0;
zfp_compression_param.rate = 2;
}
}
#endif
// Use signed int since some OpenMP compiler doesn't allow unsigned type for
// `parallel for`
#ifdef _OPENMP
#pragma omp parallel for
#endif
for (int i = 0; i < num_blocks; i++) {
int start_y = num_scanlines * i;
int endY = (std::min)(num_scanlines * (i + 1), exr_image->height);
int h = endY - start_y;
std::vector<unsigned char> buf(
static_cast<size_t>(exr_image->width * h * pixel_data_size));
for (size_t c = 0; c < static_cast<size_t>(exr_header->num_channels); c++) {
if (exr_header->pixel_types[c] == TINYEXR_PIXELTYPE_HALF) {
if (exr_header->requested_pixel_types[c] == TINYEXR_PIXELTYPE_FLOAT) {
for (int y = 0; y < h; y++) {
for (int x = 0; x < exr_image->width; x++) {
tinyexr::FP16 h16;
h16.u = reinterpret_cast<unsigned short **>(
exr_image->images)[c][(y + start_y) * exr_image->width + x];
tinyexr::FP32 f32 = half_to_float(h16);
tinyexr::swap4(reinterpret_cast<unsigned int *>(&f32.f));
// Assume increasing Y
float *line_ptr = reinterpret_cast<float *>(&buf.at(
static_cast<size_t>(pixel_data_size * y * exr_image->width) +
channel_offset_list[c] * exr_image->width));
line_ptr[x] = f32.f;
}
}
} else if (exr_header->requested_pixel_types[c] ==
TINYEXR_PIXELTYPE_HALF) {
for (int y = 0; y < h; y++) {
for (int x = 0; x < exr_image->width; x++) {
unsigned short val = reinterpret_cast<unsigned short **>(
exr_image->images)[c][(y + start_y) * exr_image->width + x];
tinyexr::swap2(&val);
// Assume increasing Y
unsigned short *line_ptr = reinterpret_cast<unsigned short *>(
&buf.at(pixel_data_size * y * exr_image->width +
channel_offset_list[c] * exr_image->width));
line_ptr[x] = val;
}
}
} else {
assert(0);
}
} else if (exr_header->pixel_types[c] == TINYEXR_PIXELTYPE_FLOAT) {
if (exr_header->requested_pixel_types[c] == TINYEXR_PIXELTYPE_HALF) {
for (int y = 0; y < h; y++) {
for (int x = 0; x < exr_image->width; x++) {
tinyexr::FP32 f32;
f32.f = reinterpret_cast<float **>(
exr_image->images)[c][(y + start_y) * exr_image->width + x];
tinyexr::FP16 h16;
h16 = float_to_half_full(f32);
tinyexr::swap2(reinterpret_cast<unsigned short *>(&h16.u));
// Assume increasing Y
unsigned short *line_ptr = reinterpret_cast<unsigned short *>(
&buf.at(pixel_data_size * y * exr_image->width +
channel_offset_list[c] * exr_image->width));
line_ptr[x] = h16.u;
}
}
} else if (exr_header->requested_pixel_types[c] ==
TINYEXR_PIXELTYPE_FLOAT) {
for (int y = 0; y < h; y++) {
for (int x = 0; x < exr_image->width; x++) {
float val = reinterpret_cast<float **>(
exr_image->images)[c][(y + start_y) * exr_image->width + x];
tinyexr::swap4(reinterpret_cast<unsigned int *>(&val));
// Assume increasing Y
float *line_ptr = reinterpret_cast<float *>(
&buf.at(pixel_data_size * y * exr_image->width +
channel_offset_list[c] * exr_image->width));
line_ptr[x] = val;
}
}
} else {
assert(0);
}
} else if (exr_header->pixel_types[c] == TINYEXR_PIXELTYPE_UINT) {
for (int y = 0; y < h; y++) {
for (int x = 0; x < exr_image->width; x++) {
unsigned int val = reinterpret_cast<unsigned int **>(
exr_image->images)[c][(y + start_y) * exr_image->width + x];
tinyexr::swap4(&val);
// Assume increasing Y
unsigned int *line_ptr = reinterpret_cast<unsigned int *>(
&buf.at(pixel_data_size * y * exr_image->width +
channel_offset_list[c] * exr_image->width));
line_ptr[x] = val;
}
}
}
}
if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_NONE) {
// 4 byte: scan line
// 4 byte: data size
// ~ : pixel data(uncompressed)
std::vector<unsigned char> header(8);
unsigned int data_len = static_cast<unsigned int>(buf.size());
memcpy(&header.at(0), &start_y, sizeof(int));
memcpy(&header.at(4), &data_len, sizeof(unsigned int));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&header.at(0)));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&header.at(4)));
data_list[i].insert(data_list[i].end(), header.begin(), header.end());
data_list[i].insert(data_list[i].end(), buf.begin(),
buf.begin() + data_len);
} else if ((exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_ZIPS) ||
(exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_ZIP)) {
#if TINYEXR_USE_MINIZ
std::vector<unsigned char> block(
tinyexr::miniz::mz_compressBound(buf.size()));
#else
std::vector<unsigned char> block(compressBound(buf.size()));
#endif
unsigned long long outSize = block.size();
tinyexr::CompressZip(&block.at(0), outSize,
reinterpret_cast<const unsigned char *>(&buf.at(0)),
buf.size());
// 4 byte: scan line
// 4 byte: data size
// ~ : pixel data(compressed)
std::vector<unsigned char> header(8);
unsigned int data_len = static_cast<unsigned int>(outSize); // truncate
memcpy(&header.at(0), &start_y, sizeof(int));
memcpy(&header.at(4), &data_len, sizeof(unsigned int));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&header.at(0)));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&header.at(4)));
data_list[i].insert(data_list[i].end(), header.begin(), header.end());
data_list[i].insert(data_list[i].end(), block.begin(),
block.begin() + data_len);
} else if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_RLE) {
// (buf.size() * 3) / 2 would be enough.
std::vector<unsigned char> block((buf.size() * 3) / 2);
unsigned long long outSize = block.size();
tinyexr::CompressRle(&block.at(0), outSize,
reinterpret_cast<const unsigned char *>(&buf.at(0)),
buf.size());
// 4 byte: scan line
// 4 byte: data size
// ~ : pixel data(compressed)
std::vector<unsigned char> header(8);
unsigned int data_len = static_cast<unsigned int>(outSize); // truncate
memcpy(&header.at(0), &start_y, sizeof(int));
memcpy(&header.at(4), &data_len, sizeof(unsigned int));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&header.at(0)));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&header.at(4)));
data_list[i].insert(data_list[i].end(), header.begin(), header.end());
data_list[i].insert(data_list[i].end(), block.begin(),
block.begin() + data_len);
} else if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_PIZ) {
#if TINYEXR_USE_PIZ
unsigned int bufLen =
1024 +
1.2 * (unsigned int)buf.size(); // @fixme { compute good bound. }
std::vector<unsigned char> block(bufLen);
unsigned int outSize = static_cast<unsigned int>(block.size());
CompressPiz(&block.at(0), outSize,
reinterpret_cast<const unsigned char *>(&buf.at(0)),
buf.size(), channels, exr_image->width, h);
// 4 byte: scan line
// 4 byte: data size
// ~ : pixel data(compressed)
std::vector<unsigned char> header(8);
unsigned int data_len = outSize;
memcpy(&header.at(0), &start_y, sizeof(int));
memcpy(&header.at(4), &data_len, sizeof(unsigned int));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&header.at(0)));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&header.at(4)));
data_list[i].insert(data_list[i].end(), header.begin(), header.end());
data_list[i].insert(data_list[i].end(), block.begin(),
block.begin() + data_len);
#else
assert(0);
#endif
} else if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_ZFP) {
#if TINYEXR_USE_ZFP
std::vector<unsigned char> block;
unsigned int outSize;
tinyexr::CompressZfp(
&block, &outSize, reinterpret_cast<const float *>(&buf.at(0)),
exr_image->width, h, exr_header->num_channels, zfp_compression_param);
// 4 byte: scan line
// 4 byte: data size
// ~ : pixel data(compressed)
std::vector<unsigned char> header(8);
unsigned int data_len = outSize;
memcpy(&header.at(0), &start_y, sizeof(int));
memcpy(&header.at(4), &data_len, sizeof(unsigned int));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&header.at(0)));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&header.at(4)));
data_list[i].insert(data_list[i].end(), header.begin(), header.end());
data_list[i].insert(data_list[i].end(), block.begin(),
block.begin() + data_len);
#else
assert(0);
#endif
} else {
assert(0);
}
} // omp parallel
for (int i = 0; i < num_blocks; i++) {
data.insert(data.end(), data_list[i].begin(), data_list[i].end());
offsets[i] = offset;
tinyexr::swap8(reinterpret_cast<unsigned long long *>(&offsets[i]));
offset += data_list[i].size();
}
{
memory.insert(memory.end(),
reinterpret_cast<unsigned char *>(&offsets.at(0)),
reinterpret_cast<unsigned char *>(&offsets.at(0)) +
sizeof(unsigned long long) * num_blocks);
}
{ memory.insert(memory.end(), data.begin(), data.end()); }
assert(memory.size() > 0);
(*memory_out) = static_cast<unsigned char *>(malloc(memory.size()));
memcpy((*memory_out), &memory.at(0), memory.size());
return memory.size(); // OK
}
int SaveEXRImageToFile(const EXRImage *exr_image, const EXRHeader *exr_header,
const char *filename, const char **err) {
if (exr_image == NULL || filename == NULL ||
exr_header->compression_type < 0) {
if (err) {
(*err) = "Invalid argument.";
}
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
#if !TINYEXR_USE_PIZ
if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_PIZ) {
if (err) {
(*err) = "PIZ compression is not supported in this build.";
}
return 0;
}
#endif
#if !TINYEXR_USE_ZFP
if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_ZFP) {
if (err) {
(*err) = "ZFP compression is not supported in this build.";
}
return 0;
}
#endif
#ifdef _WIN32
FILE *fp = NULL;
fopen_s(&fp, filename, "wb");
#else
FILE *fp = fopen(filename, "wb");
#endif
if (!fp) {
if (err) {
(*err) = "Cannot write a file.";
}
return TINYEXR_ERROR_CANT_OPEN_FILE;
}
unsigned char *mem = NULL;
size_t mem_size = SaveEXRImageToMemory(exr_image, exr_header, &mem, err);
if ((mem_size > 0) && mem) {
fwrite(mem, 1, mem_size, fp);
}
free(mem);
fclose(fp);
return TINYEXR_SUCCESS;
}
int LoadDeepEXR(DeepImage *deep_image, const char *filename, const char **err) {
if (deep_image == NULL) {
if (err) {
(*err) = "Invalid argument.";
}
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
FILE *fp = fopen(filename, "rb");
if (!fp) {
if (err) {
(*err) = "Cannot read file.";
}
return TINYEXR_ERROR_CANT_OPEN_FILE;
}
size_t filesize;
// Compute size
fseek(fp, 0, SEEK_END);
filesize = ftell(fp);
fseek(fp, 0, SEEK_SET);
if (filesize == 0) {
fclose(fp);
if (err) {
(*err) = "File size is zero.";
}
return TINYEXR_ERROR_INVALID_FILE;
}
std::vector<char> buf(filesize); // @todo { use mmap }
{
size_t ret;
ret = fread(&buf[0], 1, filesize, fp);
assert(ret == filesize);
(void)ret;
}
fclose(fp);
const char *head = &buf[0];
const char *marker = &buf[0];
// Header check.
{
const char header[] = {0x76, 0x2f, 0x31, 0x01};
if (memcmp(marker, header, 4) != 0) {
if (err) {
(*err) = "Invalid magic number.";
}
return TINYEXR_ERROR_INVALID_MAGIC_NUMBER;
}
marker += 4;
}
// Version, scanline.
{
// ver 2.0, scanline, deep bit on(0x800)
// must be [2, 0, 0, 0]
if (marker[0] != 2 || marker[1] != 8 || marker[2] != 0 || marker[3] != 0) {
if (err) {
(*err) = "Unsupported version or scanline.";
}
return TINYEXR_ERROR_UNSUPPORTED_FORMAT;
}
marker += 4;
}
int dx = -1;
int dy = -1;
int dw = -1;
int dh = -1;
int num_scanline_blocks = 1; // 16 for ZIP compression.
int compression_type = -1;
int num_channels = -1;
std::vector<tinyexr::ChannelInfo> channels;
// Read attributes
for (;;) {
std::string attr_name;
std::string attr_type;
std::vector<unsigned char> data;
const char *marker_next =
tinyexr::ReadAttribute(&attr_name, &attr_type, &data, marker);
if (marker_next == NULL) {
marker++; // skip '\0'
break;
}
if (attr_name.compare("compression") == 0) {
compression_type = data[0];
if (compression_type > TINYEXR_COMPRESSIONTYPE_PIZ) {
if (err) {
(*err) = "Unsupported compression type.";
}
return TINYEXR_ERROR_UNSUPPORTED_FORMAT;
}
if (compression_type == TINYEXR_COMPRESSIONTYPE_ZIP) {
num_scanline_blocks = 16;
}
} else if (attr_name.compare("channels") == 0) {
// name: zero-terminated string, from 1 to 255 bytes long
// pixel type: int, possible values are: UINT = 0 HALF = 1 FLOAT = 2
// pLinear: unsigned char, possible values are 0 and 1
// reserved: three chars, should be zero
// xSampling: int
// ySampling: int
tinyexr::ReadChannelInfo(channels, data);
num_channels = static_cast<int>(channels.size());
if (num_channels < 1) {
if (err) {
(*err) = "Invalid channels format.";
}
return TINYEXR_ERROR_INVALID_DATA;
}
} else if (attr_name.compare("dataWindow") == 0) {
memcpy(&dx, &data.at(0), sizeof(int));
memcpy(&dy, &data.at(4), sizeof(int));
memcpy(&dw, &data.at(8), sizeof(int));
memcpy(&dh, &data.at(12), sizeof(int));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&dx));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&dy));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&dw));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&dh));
} else if (attr_name.compare("displayWindow") == 0) {
int x;
int y;
int w;
int h;
memcpy(&x, &data.at(0), sizeof(int));
memcpy(&y, &data.at(4), sizeof(int));
memcpy(&w, &data.at(8), sizeof(int));
memcpy(&h, &data.at(12), sizeof(int));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&x));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&y));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&w));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&h));
}
marker = marker_next;
}
assert(dx >= 0);
assert(dy >= 0);
assert(dw >= 0);
assert(dh >= 0);
assert(num_channels >= 1);
int data_width = dw - dx + 1;
int data_height = dh - dy + 1;
std::vector<float> image(data_width * data_height * 4); // 4 = RGBA
// Read offset tables.
int num_blocks = data_height / num_scanline_blocks;
if (num_blocks * num_scanline_blocks < data_height) {
num_blocks++;
}
std::vector<long long> offsets(num_blocks);
for (int y = 0; y < num_blocks; y++) {
long long offset;
memcpy(&offset, marker, sizeof(long long));
tinyexr::swap8(reinterpret_cast<unsigned long long *>(&offset));
marker += sizeof(long long); // = 8
offsets[y] = offset;
}
#if TINYEXR_USE_PIZ
if ((compression_type == TINYEXR_COMPRESSIONTYPE_NONE) ||
(compression_type == TINYEXR_COMPRESSIONTYPE_RLE) ||
(compression_type == TINYEXR_COMPRESSIONTYPE_ZIPS) ||
(compression_type == TINYEXR_COMPRESSIONTYPE_ZIP) ||
(compression_type == TINYEXR_COMPRESSIONTYPE_PIZ)) {
#else
if ((compression_type == TINYEXR_COMPRESSIONTYPE_NONE) ||
(compression_type == TINYEXR_COMPRESSIONTYPE_RLE) ||
(compression_type == TINYEXR_COMPRESSIONTYPE_ZIPS) ||
(compression_type == TINYEXR_COMPRESSIONTYPE_ZIP)) {
#endif
// OK
} else {
if (err) {
(*err) = "Unsupported format.";
}
return TINYEXR_ERROR_UNSUPPORTED_FORMAT;
}
deep_image->image =
static_cast<float ***>(malloc(sizeof(float **) * num_channels));
for (int c = 0; c < num_channels; c++) {
deep_image->image[c] =
static_cast<float **>(malloc(sizeof(float *) * data_height));
for (int y = 0; y < data_height; y++) {
}
}
deep_image->offset_table =
static_cast<int **>(malloc(sizeof(int *) * data_height));
for (int y = 0; y < data_height; y++) {
deep_image->offset_table[y] =
static_cast<int *>(malloc(sizeof(int) * data_width));
}
for (int y = 0; y < num_blocks; y++) {
const unsigned char *data_ptr =
reinterpret_cast<const unsigned char *>(head + offsets[y]);
// int: y coordinate
// int64: packed size of pixel offset table
// int64: packed size of sample data
// int64: unpacked size of sample data
// compressed pixel offset table
// compressed sample data
int line_no;
long long packedOffsetTableSize;
long long packedSampleDataSize;
long long unpackedSampleDataSize;
memcpy(&line_no, data_ptr, sizeof(int));
memcpy(&packedOffsetTableSize, data_ptr + 4, sizeof(long long));
memcpy(&packedSampleDataSize, data_ptr + 12, sizeof(long long));
memcpy(&unpackedSampleDataSize, data_ptr + 20, sizeof(long long));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&line_no));
tinyexr::swap8(
reinterpret_cast<unsigned long long *>(&packedOffsetTableSize));
tinyexr::swap8(
reinterpret_cast<unsigned long long *>(&packedSampleDataSize));
tinyexr::swap8(
reinterpret_cast<unsigned long long *>(&unpackedSampleDataSize));
std::vector<int> pixelOffsetTable(data_width);
// decode pixel offset table.
{
unsigned long dstLen = pixelOffsetTable.size() * sizeof(int);
tinyexr::DecompressZip(
reinterpret_cast<unsigned char *>(&pixelOffsetTable.at(0)), &dstLen,
data_ptr + 28, packedOffsetTableSize);
assert(dstLen == pixelOffsetTable.size() * sizeof(int));
for (int i = 0; i < data_width; i++) {
deep_image->offset_table[y][i] = pixelOffsetTable[i];
}
}
std::vector<unsigned char> sample_data(unpackedSampleDataSize);
// decode sample data.
{
unsigned long dstLen = unpackedSampleDataSize;
tinyexr::DecompressZip(
reinterpret_cast<unsigned char *>(&sample_data.at(0)), &dstLen,
data_ptr + 28 + packedOffsetTableSize, packedSampleDataSize);
assert(dstLen == static_cast<unsigned long>(unpackedSampleDataSize));
}
// decode sample
int sampleSize = -1;
std::vector<int> channel_offset_list(num_channels);
{
int channel_offset = 0;
for (int i = 0; i < num_channels; i++) {
channel_offset_list[i] = channel_offset;
if (channels[i].pixel_type == TINYEXR_PIXELTYPE_UINT) { // UINT
channel_offset += 4;
} else if (channels[i].pixel_type == TINYEXR_PIXELTYPE_HALF) { // half
channel_offset += 2;
} else if (channels[i].pixel_type ==
TINYEXR_PIXELTYPE_FLOAT) { // float
channel_offset += 4;
} else {
assert(0);
}
}
sampleSize = channel_offset;
}
assert(sampleSize >= 2);
assert(static_cast<size_t>(pixelOffsetTable[data_width - 1] * sampleSize) ==
sample_data.size());
int samples_per_line = static_cast<int>(sample_data.size()) / sampleSize;
//
// Alloc memory
//
//
// pixel data is stored as image[channels][pixel_samples]
//
{
unsigned long long data_offset = 0;
for (int c = 0; c < num_channels; c++) {
deep_image->image[c][y] =
static_cast<float *>(malloc(sizeof(float) * samples_per_line));
if (channels[c].pixel_type == 0) { // UINT
for (int x = 0; x < samples_per_line; x++) {
unsigned int ui = *reinterpret_cast<unsigned int *>(
&sample_data.at(data_offset + x * sizeof(int)));
deep_image->image[c][y][x] = static_cast<float>(ui); // @fixme
}
data_offset += sizeof(unsigned int) * samples_per_line;
} else if (channels[c].pixel_type == 1) { // half
for (int x = 0; x < samples_per_line; x++) {
tinyexr::FP16 f16;
f16.u = *reinterpret_cast<unsigned short *>(
&sample_data.at(data_offset + x * sizeof(short)));
tinyexr::FP32 f32 = half_to_float(f16);
deep_image->image[c][y][x] = f32.f;
}
data_offset += sizeof(short) * samples_per_line;
} else { // float
for (int x = 0; x < samples_per_line; x++) {
float f = *reinterpret_cast<float *>(
&sample_data.at(data_offset + x * sizeof(float)));
deep_image->image[c][y][x] = f;
}
data_offset += sizeof(float) * samples_per_line;
}
}
}
} // y
deep_image->width = data_width;
deep_image->height = data_height;
deep_image->channel_names =
static_cast<const char **>(malloc(sizeof(const char *) * num_channels));
for (int c = 0; c < num_channels; c++) {
#ifdef _WIN32
deep_image->channel_names[c] = _strdup(channels[c].name.c_str());
#else
deep_image->channel_names[c] = strdup(channels[c].name.c_str());
#endif
}
deep_image->num_channels = num_channels;
return TINYEXR_SUCCESS;
}
#if 0 // not yet implemented
static int SaveDeepEXR(const DeepImage *deep_image, const char *filename,
const char **err) {
if (deep_image == NULL || filename == NULL) {
if (err) {
(*err) = "Invalid argument.";
}
return -1;
}
FILE *fp = fopen(filename, "rb");
if (!fp) {
if (err) {
(*err) = "Cannot write file.";
}
return -1;
}
// Write header check.
{
const char header[] = {0x76, 0x2f, 0x31, 0x01};
size_t n = fwrite(header, 1, 4, fp);
if (n != 4) {
if (err) {
(*err) = "Header write failed.";
}
fclose(fp);
return -3;
}
}
// Version, scanline.
{
// ver 2.0, scanline, deep bit on(0x800)
const char data[] = {2, 8, 0, 0};
size_t n = fwrite(data, 1, 4, fp);
if (n != 4) {
if (err) {
(*err) = "Flag write failed.";
}
fclose(fp);
return -3;
}
}
// Write attributes.
{
int data = 2; // ZIPS
tinyexr::WriteAttribute(fp, "compression", "compression",
reinterpret_cast<const unsigned char *>(&data), sizeof(int));
}
{
int data[4] = {0, 0, deep_image->width - 1, deep_image->height - 1};
tinyexr::WriteAttribute(fp, "dataWindow", "box2i",
reinterpret_cast<const unsigned char *>(data),
sizeof(int) * 4);
tinyexr::WriteAttribute(fp, "displayWindow", "box2i",
reinterpret_cast<const unsigned char *>(data),
sizeof(int) * 4);
}
int num_scanline_blocks = 1;
// Write offset tables.
int num_blocks = deep_image->height / num_scanline_blocks;
if (num_blocks * num_scanline_blocks < deep_image->height) {
num_blocks++;
}
#if 0 // @todo
std::vector<long long> offsets(num_blocks);
//std::vector<int> pixelOffsetTable(data_width);
// compress pixel offset table.
{
unsigned long dstLen = pixelOffsetTable.size() * sizeof(int);
Compresses(reinterpret_cast<unsigned char *>(&pixelOffsetTable.at(0)),
dstLen, data_ptr + 28, packedOffsetTableSize);
assert(dstLen == pixelOffsetTable.size() * sizeof(int));
// int ret =
// miniz::mz_uncompress(reinterpret_cast<unsigned char
// *>(&pixelOffsetTable.at(0)), &dstLen, data_ptr + 28,
// packedOffsetTableSize);
// printf("ret = %d, dstLen = %d\n", ret, (int)dstLen);
//
for (int i = 0; i < data_width; i++) {
// printf("offt[%d] = %d\n", i, pixelOffsetTable[i]);
deep_image->offset_table[y][i] = pixelOffsetTable[i];
}
}
for (int y = 0; y < num_blocks; y++) {
//long long offset = *(reinterpret_cast<const long long *>(marker));
// printf("offset[%d] = %lld\n", y, offset);
//marker += sizeof(long long); // = 8
offsets[y] = offset;
}
// Write offset table.
fwrite(&offsets.at(0), sizeof(long long), num_blocks, fp);
for (int y = 0; y < num_blocks; y++) {
const unsigned char *data_ptr =
reinterpret_cast<const unsigned char *>(head + offsets[y]);
// int: y coordinate
// int64: packed size of pixel offset table
// int64: packed size of sample data
// int64: unpacked size of sample data
// compressed pixel offset table
// compressed sample data
int line_no = *reinterpret_cast<const int *>(data_ptr);
long long packedOffsetTableSize =
*reinterpret_cast<const long long *>(data_ptr + 4);
long long packedSampleDataSize =
*reinterpret_cast<const long long *>(data_ptr + 12);
long long unpackedSampleDataSize =
*reinterpret_cast<const long long *>(data_ptr + 20);
// printf("line: %d, %lld/%lld/%lld\n", line_no, packedOffsetTableSize,
// packedSampleDataSize, unpackedSampleDataSize);
int endLineNo = (std::min)(line_no + num_scanline_blocks, data_height);
int num_lines = endLineNo - line_no;
// printf("num_lines: %d\n", num_lines);
std::vector<int> pixelOffsetTable(data_width);
// decode pixel offset table.
{
unsigned long dstLen = pixelOffsetTable.size() * sizeof(int);
DecompressZip(reinterpret_cast<unsigned char *>(&pixelOffsetTable.at(0)),
dstLen, data_ptr + 28, packedOffsetTableSize);
assert(dstLen == pixelOffsetTable.size() * sizeof(int));
// int ret =
// miniz::mz_uncompress(reinterpret_cast<unsigned char
// *>(&pixelOffsetTable.at(0)), &dstLen, data_ptr + 28,
// packedOffsetTableSize);
// printf("ret = %d, dstLen = %d\n", ret, (int)dstLen);
//
for (int i = 0; i < data_width; i++) {
// printf("offt[%d] = %d\n", i, pixelOffsetTable[i]);
deep_image->offset_table[y][i] = pixelOffsetTable[i];
}
}
std::vector<unsigned char> sample_data(unpackedSampleDataSize);
// decode sample data.
{
unsigned long dstLen = unpackedSampleDataSize;
// printf("dstLen = %d\n", dstLen);
// printf("srcLen = %d\n", packedSampleDataSize);
DecompressZip(reinterpret_cast<unsigned char *>(&sample_data.at(0)),
dstLen, data_ptr + 28 + packedOffsetTableSize,
packedSampleDataSize);
assert(dstLen == unpackedSampleDataSize);
}
// decode sample
int sampleSize = -1;
std::vector<int> channel_offset_list(num_channels);
{
int channel_offset = 0;
for (int i = 0; i < num_channels; i++) {
// printf("offt[%d] = %d\n", i, channel_offset);
channel_offset_list[i] = channel_offset;
if (channels[i].pixel_type == 0) { // UINT
channel_offset += 4;
} else if (channels[i].pixel_type == 1) { // half
channel_offset += 2;
} else if (channels[i].pixel_type == 2) { // float
channel_offset += 4;
} else {
assert(0);
}
}
sampleSize = channel_offset;
}
assert(sampleSize >= 2);
assert(pixelOffsetTable[data_width - 1] * sampleSize == sample_data.size());
int samples_per_line = sample_data.size() / sampleSize;
//
// Alloc memory
//
//
// pixel data is stored as image[channels][pixel_samples]
//
{
unsigned long long data_offset = 0;
for (int c = 0; c < num_channels; c++) {
deep_image->image[c][y] =
(float *)malloc(sizeof(float) * samples_per_line);
// unsigned int channel_offset = channel_offset_list[c];
// unsigned int i = channel_offset;
// printf("channel = %d. name = %s. ty = %d\n", c,
// channels[c].name.c_str(), channels[c].pixel_type);
// printf("data_offset = %d\n", (int)data_offset);
if (channels[c].pixel_type == 0) { // UINT
for (int x = 0; x < samples_per_line; x++) {
unsigned int ui = *reinterpret_cast<unsigned int *>(
&sample_data.at(data_offset + x * sizeof(int)));
deep_image->image[c][y][x] = static_cast<float>(ui); // @fixme
}
data_offset += sizeof(unsigned int) * samples_per_line;
} else if (channels[c].pixel_type == 1) { // half
for (int x = 0; x < samples_per_line; x++) {
FP16 f16;
f16.u = *reinterpret_cast<unsigned short *>(
&sample_data.at(data_offset + x * sizeof(short)));
FP32 f32 = half_to_float(f16);
deep_image->image[c][y][x] = f32.f;
// printf("c[%d] f(half) = %f (0x%08x)\n", c, f32.f, f16.u);
}
data_offset += sizeof(short) * samples_per_line;
} else { // float
for (int x = 0; x < samples_per_line; x++) {
float f = *reinterpret_cast<float *>(
&sample_data.at(data_offset + x * sizeof(float)));
// printf(" f = %f(0x%08x)\n", f, *((unsigned int *)&f));
deep_image->image[c][y][x] = f;
}
data_offset += sizeof(float) * samples_per_line;
}
}
// printf("total: %d\n", data_offset);
}
} // y
#endif
fclose(fp);
return TINYEXR_SUCCESS;
}
#endif
void InitEXRImage(EXRImage *exr_image) {
if (exr_image == NULL) {
return;
}
exr_image->width = 0;
exr_image->height = 0;
exr_image->num_channels = 0;
exr_image->images = NULL;
exr_image->tiles = NULL;
}
void InitEXRHeader(EXRHeader *exr_header) {
if (exr_header == NULL) {
return;
}
memset(exr_header, 0, sizeof(EXRHeader));
}
int FreeEXRHeader(EXRHeader *exr_header) {
if (exr_header == NULL) {
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
if (exr_header->channels) {
free(exr_header->channels);
}
if (exr_header->pixel_types) {
free(exr_header->pixel_types);
}
if (exr_header->requested_pixel_types) {
free(exr_header->requested_pixel_types);
}
for (int i = 0; i < exr_header->num_custom_attributes; i++) {
if (exr_header->custom_attributes[i].value) {
free(exr_header->custom_attributes[i].value);
}
}
return TINYEXR_SUCCESS;
}
int FreeEXRImage(EXRImage *exr_image) {
if (exr_image == NULL) {
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
for (int i = 0; i < exr_image->num_channels; i++) {
if (exr_image->images && exr_image->images[i]) {
free(exr_image->images[i]);
}
}
if (exr_image->images) {
free(exr_image->images);
}
if (exr_image->tiles) {
for (int tid = 0; tid < exr_image->num_tiles; tid++) {
for (int i = 0; i < exr_image->num_channels; i++) {
if (exr_image->tiles[tid].images && exr_image->tiles[tid].images[i]) {
free(exr_image->tiles[tid].images[i]);
}
}
if (exr_image->tiles[tid].images) {
free(exr_image->tiles[tid].images);
}
}
}
return TINYEXR_SUCCESS;
}
int ParseEXRHeaderFromFile(EXRHeader *exr_header, const EXRVersion *exr_version,
const char *filename, const char **err) {
if (exr_header == NULL || exr_version == NULL || filename == NULL) {
if (err) {
(*err) = "Invalid argument.";
}
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
#ifdef _WIN32
FILE *fp = NULL;
fopen_s(&fp, filename, "rb");
#else
FILE *fp = fopen(filename, "rb");
#endif
if (!fp) {
if (err) {
(*err) = "Cannot read file.";
}
return TINYEXR_ERROR_CANT_OPEN_FILE;
}
size_t filesize;
// Compute size
fseek(fp, 0, SEEK_END);
filesize = ftell(fp);
fseek(fp, 0, SEEK_SET);
std::vector<unsigned char> buf(filesize); // @todo { use mmap }
{
size_t ret;
ret = fread(&buf[0], 1, filesize, fp);
assert(ret == filesize);
fclose(fp);
if (ret != filesize) {
if (err) {
(*err) = "fread error.";
}
return TINYEXR_ERROR_INVALID_FILE;
}
}
return ParseEXRHeaderFromMemory(exr_header, exr_version, &buf.at(0), err);
}
int ParseEXRMultipartHeaderFromMemory(EXRHeader ***exr_headers,
int *num_headers,
const EXRVersion *exr_version,
const unsigned char *memory,
const char **err) {
if (memory == NULL || exr_headers == NULL || num_headers == NULL ||
exr_version == NULL) {
// Invalid argument
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
const char *buf = reinterpret_cast<const char *>(memory);
const char *marker = &buf[4 + 4]; // skip magic number + version header
std::vector<tinyexr::HeaderInfo> infos;
for (;;) {
tinyexr::HeaderInfo info;
info.clear();
std::string err_str;
bool empty_header = false;
int ret = ParseEXRHeader(&info, &empty_header, exr_version, &err_str,
reinterpret_cast<const unsigned char *>(marker));
if (ret != TINYEXR_SUCCESS) {
if (err) {
(*err) = strdup(err_str.c_str()); // may leak
}
return ret;
}
if (empty_header) {
marker += 1; // skip '\0'
break;
}
// `chunkCount` must exist in the header.
if (info.chunk_count == 0) {
if (err) {
(*err) = "`chunkCount' attribute is not found in the header.";
}
return TINYEXR_ERROR_INVALID_DATA;
}
infos.push_back(info);
// move to next header.
marker += info.header_len;
}
// allocate memory for EXRHeader and create array of EXRHeader pointers.
(*exr_headers) =
static_cast<EXRHeader **>(malloc(sizeof(EXRHeader *) * infos.size()));
for (size_t i = 0; i < infos.size(); i++) {
EXRHeader *exr_header = static_cast<EXRHeader *>(malloc(sizeof(EXRHeader)));
ConvertHeader(exr_header, infos[i]);
// transfoer `tiled` from version.
exr_header->tiled = exr_version->tiled;
(*exr_headers)[i] = exr_header;
}
(*num_headers) = static_cast<int>(infos.size());
return TINYEXR_SUCCESS;
}
int ParseEXRMultipartHeaderFromFile(EXRHeader ***exr_headers, int *num_headers,
const EXRVersion *exr_version,
const char *filename, const char **err) {
if (exr_headers == NULL || num_headers == NULL || exr_version == NULL ||
filename == NULL) {
if (err) {
(*err) = "Invalid argument.";
}
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
#ifdef _WIN32
FILE *fp = NULL;
fopen_s(&fp, filename, "rb");
#else
FILE *fp = fopen(filename, "rb");
#endif
if (!fp) {
if (err) {
(*err) = "Cannot read file.";
}
return TINYEXR_ERROR_CANT_OPEN_FILE;
}
size_t filesize;
// Compute size
fseek(fp, 0, SEEK_END);
filesize = ftell(fp);
fseek(fp, 0, SEEK_SET);
std::vector<unsigned char> buf(filesize); // @todo { use mmap }
{
size_t ret;
ret = fread(&buf[0], 1, filesize, fp);
assert(ret == filesize);
fclose(fp);
if (ret != filesize) {
if (err) {
(*err) = "fread error.";
}
return TINYEXR_ERROR_INVALID_FILE;
}
}
return ParseEXRMultipartHeaderFromMemory(exr_headers, num_headers,
exr_version, &buf.at(0), err);
}
int ParseEXRVersionFromMemory(EXRVersion *version,
const unsigned char *memory) {
if (version == NULL || memory == NULL) {
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
const unsigned char *marker = memory;
// Header check.
{
const char header[] = {0x76, 0x2f, 0x31, 0x01};
if (memcmp(marker, header, 4) != 0) {
return TINYEXR_ERROR_INVALID_MAGIC_NUMBER;
}
marker += 4;
}
version->tiled = false;
version->long_name = false;
version->non_image = false;
version->multipart = false;
// Parse version header.
{
// must be 2
if (marker[0] != 2) {
return TINYEXR_ERROR_INVALID_EXR_VERSION;
}
if (version == NULL) {
return TINYEXR_SUCCESS; // May OK
}
version->version = 2;
if (marker[1] & 0x2) { // 9th bit
version->tiled = true;
}
if (marker[1] & 0x4) { // 10th bit
version->long_name = true;
}
if (marker[1] & 0x8) { // 11th bit
version->non_image = true; // (deep image)
}
if (marker[1] & 0x10) { // 12th bit
version->multipart = true;
}
}
return TINYEXR_SUCCESS;
}
int ParseEXRVersionFromFile(EXRVersion *version, const char *filename) {
if (filename == NULL) {
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
#ifdef _WIN32
FILE *fp = NULL;
fopen_s(&fp, filename, "rb");
#else
FILE *fp = fopen(filename, "rb");
#endif
if (!fp) {
return TINYEXR_ERROR_CANT_OPEN_FILE;
}
size_t file_size;
// Compute size
fseek(fp, 0, SEEK_END);
file_size = ftell(fp);
fseek(fp, 0, SEEK_SET);
if (file_size < 8) {
return TINYEXR_ERROR_INVALID_FILE;
}
const size_t kHeaderSize = 8;
unsigned char buf[8];
size_t ret = fread(&buf[0], 1, kHeaderSize, fp);
fclose(fp);
if (ret != kHeaderSize) {
return TINYEXR_ERROR_INVALID_FILE;
}
return ParseEXRVersionFromMemory(version, buf);
}
int LoadEXRMultipartImageFromMemory(EXRImage *exr_images,
const EXRHeader **exr_headers,
unsigned int num_parts,
const unsigned char *memory,
const char **err) {
if (exr_images == NULL || exr_headers == NULL || num_parts == 0 ||
memory == NULL) {
if (err) {
(*err) = "Invalid argument.";
}
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
// compute total header size.
size_t total_header_size = 0;
for (unsigned int i = 0; i < num_parts; i++) {
if (exr_headers[i]->header_len == 0) {
if (err) {
(*err) = "EXRHeader is not initialized.";
}
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
total_header_size += exr_headers[i]->header_len;
}
const char *marker = reinterpret_cast<const char *>(
memory + total_header_size + 4 +
4); // +8 for magic number and version header.
marker += 1; // Skip empty header.
// NOTE 1:
// In multipart image, There is 'part number' before chunk data.
// 4 byte : part number
// 4+ : chunk
//
// NOTE 2:
// EXR spec says 'part number' is 'unsigned long' but actually this is
// 'unsigned int(4 bytes)' in OpenEXR implementation...
// http://www.openexr.com/openexrfilelayout.pdf
// Load chunk offset table.
std::vector<std::vector<unsigned long long> > chunk_offset_table_list;
for (size_t i = 0; i < static_cast<size_t>(num_parts); i++) {
std::vector<unsigned long long> offset_table(
static_cast<size_t>(exr_headers[i]->chunk_count));
for (size_t c = 0; c < offset_table.size(); c++) {
unsigned long long offset;
memcpy(&offset, marker, 8);
tinyexr::swap8(&offset);
offset_table[c] = offset + 4; // +4 to skip 'part number'
marker += 8;
}
chunk_offset_table_list.push_back(offset_table);
}
// Decode image.
for (size_t i = 0; i < static_cast<size_t>(num_parts); i++) {
std::vector<unsigned long long> &offset_table = chunk_offset_table_list[i];
// First check 'part number' is identitical to 'i'
for (size_t c = 0; c < offset_table.size(); c++) {
const unsigned char *part_number_addr =
memory + offset_table[c] - 4; // -4 to move to 'part number' field.
unsigned int part_no;
memcpy(&part_no, part_number_addr, sizeof(unsigned int)); // 4
tinyexr::swap4(&part_no);
if (part_no != i) {
assert(0);
return TINYEXR_ERROR_INVALID_DATA;
}
}
int ret = tinyexr::DecodeChunk(&exr_images[i], exr_headers[i], offset_table,
memory);
if (ret != TINYEXR_SUCCESS) {
return ret;
}
}
return TINYEXR_SUCCESS;
}
int LoadEXRMultipartImageFromFile(EXRImage *exr_images,
const EXRHeader **exr_headers,
unsigned int num_parts, const char *filename,
const char **err) {
if (exr_images == NULL || exr_headers == NULL || num_parts == 0) {
if (err) {
(*err) = "Invalid argument.";
}
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
#ifdef _WIN32
FILE *fp = NULL;
fopen_s(&fp, filename, "rb");
#else
FILE *fp = fopen(filename, "rb");
#endif
if (!fp) {
if (err) {
(*err) = "Cannot read file.";
}
return TINYEXR_ERROR_CANT_OPEN_FILE;
}
size_t filesize;
// Compute size
fseek(fp, 0, SEEK_END);
filesize = static_cast<size_t>(ftell(fp));
fseek(fp, 0, SEEK_SET);
std::vector<unsigned char> buf(filesize); // @todo { use mmap }
{
size_t ret;
ret = fread(&buf[0], 1, filesize, fp);
assert(ret == filesize);
fclose(fp);
(void)ret;
}
return LoadEXRMultipartImageFromMemory(exr_images, exr_headers, num_parts,
&buf.at(0), err);
}
#ifdef _MSC_VER
#pragma warning(pop)
#endif
#endif
#endif // TINYEXR_H_
|
GB_binop__rminus_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__rminus_uint16)
// A.*B function (eWiseMult): GB (_AemultB_08__rminus_uint16)
// A.*B function (eWiseMult): GB (_AemultB_02__rminus_uint16)
// A.*B function (eWiseMult): GB (_AemultB_04__rminus_uint16)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__rminus_uint16)
// A*D function (colscale): GB (_AxD__rminus_uint16)
// D*A function (rowscale): GB (_DxB__rminus_uint16)
// C+=B function (dense accum): GB (_Cdense_accumB__rminus_uint16)
// C+=b function (dense accum): GB (_Cdense_accumb__rminus_uint16)
// C+=A+B function (dense ewise3): GB (_Cdense_ewise3_accum__rminus_uint16)
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__rminus_uint16)
// C=scalar+B GB (_bind1st__rminus_uint16)
// C=scalar+B' GB (_bind1st_tran__rminus_uint16)
// C=A+scalar GB (_bind2nd__rminus_uint16)
// C=A'+scalar GB (_bind2nd_tran__rminus_uint16)
// C type: uint16_t
// A type: uint16_t
// B,b type: uint16_t
// BinaryOp: cij = (bij - aij)
#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 = (y - x) ;
// 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_RMINUS || GxB_NO_UINT16 || GxB_NO_RMINUS_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__rminus_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__rminus_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__rminus_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__rminus_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__rminus_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__rminus_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, C<M>=A+B, C<!M>=A+B
//------------------------------------------------------------------------------
GrB_Info GB (_AaddB__rminus_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, C<M>=A.*B, or C<M!>=A.*B where C is sparse/hyper
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_08__rminus_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_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__rminus_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_04__rminus_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_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__rminus_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__rminus_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] = (bij - x) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB (_bind2nd__rminus_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] = (y - aij) ;
}
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] = (aij - x) ; \
}
GrB_Info GB (_bind1st_tran__rminus_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] = (y - aij) ; \
}
GrB_Info GB (_bind2nd_tran__rminus_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
|
do_sum_omp.c | double do_sum_omp(double* restrict var, long ncells)
{
// Serial sum
double sum = 0.0;
#pragma omp parallel for reduction(+: sum)
for (long i = 0; i < ncells; i++){
sum += var[i];
}
return(sum);
}
|
PNoise4D.c | ////////////////////////////////////////////////////////////////////////////////
//
// Copyright (c) 2019 Michele Morrone
// All rights reserved.
//
// mailto:me@michelemorrone.eu
// mailto:brutpitt@gmail.com
//
// https://github.com/BrutPitt
//
// https://michelemorrone.eu
// https://BrutPitt.com
//
// This software is distributed under the terms of the BSD 2-Clause license:
//
// 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 following disclaimer.
// * 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 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 <COPYRIGHT HOLDER> 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>
#include <time.h>
#include <math.h>
#include <gl/glut.h>
#include <gl/glext.h>
#ifdef MULTITHREAD_ON
#include <omp.h>
#endif
#include "defs.h"
#define NOISE_WRAP_INDEX 128
#define NOISE_MOD_MASK 127
// A large power of 2, we'll go for 4096, to add to negative numbers
// in order to make them positive
#define NOISE_LARGE_PWR2 4096
#define easeCurve(t) ( t * t * (3.0 - (t + t)) )
#define linearInterp(t, a, b) ( a + t * (b - a) )
#define dot2(rx, ry, q) ( rx * q[0] + ry * q[1] )
#define dot3(rx, ry, rz, q) ( rx * *(q) + ry * *(q+1) + rz * *(q+2) )
#define dot4(rx, ry, rz, rt, q) ( rx * *(q) + ry * *(q+1) + rz * *(q+2) + rt * *(q+3))
#define setupValues(pos, g0, g1, d0, d1) { \
const float t = *(pos) + NOISE_LARGE_PWR2; \
g0 = ((int)t) & NOISE_MOD_MASK; \
g1 = (g0 + 1) & NOISE_MOD_MASK; \
d0 = ((float)t) - (int)t; \
d1 = d0 - 1.0; \
} \
#ifndef FALSE
#define FALSE 0
#endif
#ifndef TRUE
#define TRUE 1
#endif
static float gradientTable4d[NOISE_WRAP_INDEX*2 + 2][4] = { 0 };
static unsigned permutationTable[NOISE_WRAP_INDEX*2 + 2]; // permutation table
static int initialized=FALSE;
/////////////////////////////////////////////////////////////////////
// return a random float in [-1,1]
float randNoiseFloat() {
return (float)((rand() % (NOISE_WRAP_INDEX + NOISE_WRAP_INDEX)) -
NOISE_WRAP_INDEX) / NOISE_WRAP_INDEX;
};
void normalize4d(float *vector) {
float length = 1/sqrt((vector[0] * vector[0]) +
(vector[1] * vector[1]) +
(vector[2] * vector[2]) +
(vector[3] * vector[3]));
*vector++ *= length;
*vector++ *= length;
*vector++ *= length;
*vector *= length;
}
/////////////////////////////////////////////////////////////////////
// initialize everything during constructor or reseed -- note
// that space was already allocated for the gradientTable
// during the constructor
void generateLookupTables() {
unsigned i, j, temp;
for (i=0; i<NOISE_WRAP_INDEX; i++) {
permutationTable[i] = i;
//4DGradient for all Dimension (1d, 2d, 3d 4d)
for (j=0; j<4; j++) { gradientTable4d[i][j] = randNoiseFloat(); }
normalize4d(gradientTable4d[i]);
}
// Shuffle permutation table up to NOISE_WRAP_INDEX
for (i=0; i<NOISE_WRAP_INDEX; i++) {
j = rand() & NOISE_MOD_MASK;
temp = permutationTable[i];
permutationTable[i] = permutationTable[j];
permutationTable[j] = temp;
}
// Add the rest of the table entries in, duplicating
// indices and entries so that they can effectively be indexed
// by unsigned chars.
//
for (i=0; i<NOISE_WRAP_INDEX+2; i++) {
permutationTable[NOISE_WRAP_INDEX + i] = permutationTable[i];
//4DGradient for all Dimension (1d, 2d, 3d 4d)
for (j=0; j<4; j++)
gradientTable4d[NOISE_WRAP_INDEX + i][j] = gradientTable4d[i][j];
}
// And we're done. Set initialized to true
initialized = TRUE;
}
/////////////////////////////////////////////////////////////////////
// reinitialize with new, random values.
void reseed() {
srand((unsigned int) (time(NULL) + rand()));
generateLookupTables();
}
/////////////////////////////////////////////////////////////////////
// reinitialize using a user-specified random seed.
void reseedVal(unsigned int rSeed) {
srand(rSeed);
generateLookupTables();
}
float noise4d(float *pos) {
int gridPointL, gridPointR, gridPointD, gridPointU, gridPointB, gridPointF, gridPointV, gridPointW;
float distFromL, distFromR, distFromD, distFromU, distFromB, distFromF, distFromV, distFromW;
float sX, sY, sZ, sT, a, b, c, d, e, f, t, u, v;
// find out neighboring grid points to pos and signed distances from pos to them.
setupValues(pos , gridPointL, gridPointR, distFromL, distFromR);
setupValues(pos+1, gridPointD, gridPointU, distFromD, distFromU);
setupValues(pos+2, gridPointB, gridPointF, distFromB, distFromF);
setupValues(pos+3, gridPointV, gridPointW, distFromV, distFromW);
{
const int indexL = permutationTable[ gridPointL ];
const int indexR = permutationTable[ gridPointR ];
const int indexLD = permutationTable[ indexL + gridPointD ];
const int indexRD = permutationTable[ indexR + gridPointD ];
const int indexLU = permutationTable[ indexL + gridPointU ];
const int indexRU = permutationTable[ indexR + gridPointU ];
const int indexLDB = permutationTable[ indexLD + gridPointB ];
const int indexRDB = permutationTable[ indexRD + gridPointB ];
const int indexLUB = permutationTable[ indexLU + gridPointB ];
const int indexRUB = permutationTable[ indexRU + gridPointB ];
const int indexLDF = permutationTable[ indexLD + gridPointF ];
const int indexRDF = permutationTable[ indexRD + gridPointF ];
const int indexLUF = permutationTable[ indexLU + gridPointF ];
const int indexRUF = permutationTable[ indexRU + gridPointF ];
float *ptrV = (float *) &gradientTable4d[gridPointV];
float *ptrW = (float *) &gradientTable4d[gridPointW];
sX = easeCurve(distFromL);
sY = easeCurve(distFromD);
sZ = easeCurve(distFromB);
sT = easeCurve(distFromV);
u = dot4(distFromL, distFromD, distFromB, distFromV, ptrV+indexLDB);
v = dot4(distFromR, distFromD, distFromB, distFromV, ptrV+indexRDB);
a = linearInterp(sX, u, v);
u = dot4(distFromL, distFromU, distFromB, distFromV, ptrV+indexLUB);
v = dot4(distFromR, distFromU, distFromB, distFromV, ptrV+indexRUB);
b = linearInterp(sX, u, v);
c = linearInterp(sY, a, b);
u = dot4(distFromL, distFromD, distFromF, distFromV, ptrV+indexLDF);
v = dot4(distFromR, distFromD, distFromF, distFromV, ptrV+indexRDF);
a = linearInterp(sX, u, v);
u = dot4(distFromL, distFromU, distFromF, distFromV, ptrV+indexLUF);
v = dot4(distFromR, distFromU, distFromF, distFromV, ptrV+indexRUF);
b = linearInterp(sX, u, v);
d = linearInterp(sY, a, b);
e = linearInterp(sZ, c, d);
u = dot4(distFromL, distFromD, distFromB, distFromW, ptrW+indexLDB);
v = dot4(distFromR, distFromD, distFromB, distFromW, ptrW+indexRDB);
a = linearInterp(sX, u, v);
u = dot4(distFromL, distFromU, distFromB, distFromW, ptrW+indexLUB);
v = dot4(distFromR, distFromU, distFromB, distFromW, ptrW+indexRUB);
b = linearInterp(sX, u, v);
c = linearInterp(sY, a, b);
u = dot4(distFromL, distFromD, distFromF, distFromW, ptrW+indexLDF);
v = dot4(distFromR, distFromD, distFromF, distFromW, ptrW+indexRDF);
a = linearInterp(sX, u, v);
u = dot4(distFromL, distFromU, distFromF, distFromW, ptrW+indexLUF);
v = dot4(distFromR, distFromU, distFromF, distFromW, ptrW+indexRUF);
b = linearInterp(sX, u, v);
d = linearInterp(sY, a, b);
f = linearInterp(sZ, c, d);
}
return linearInterp(sT, e, f);
}
static float tScale=12000.f;
static float xyzScale=1.5f;
float noise(float x, float y, float z, float w) {
//static float tScale=1500.f;
//static float xyzScale=15.f;
float p[4] = { x*xyzScale, y*xyzScale, z*xyzScale, w/tScale};
return noise4d(p);
}
static float noisePersistance=0.5;
static int noiseMaxOctaves=7;
float fabsnoise(float x, float y, float z, float t)
{
int i;
float amplitude = 1.f;
float result = 0.0;
x*=xyzScale;
y*=xyzScale;
z*=xyzScale;
t/=tScale;
for (i=0; i<noiseMaxOctaves; i++) {
float p[4] = { x, y, z, t };
result += fabs(noise4d(p)) * amplitude;
amplitude *= noisePersistance;
x *= 2.0; y *= 2.0; z *= 2.0; t *= 2.0;
}
return result;
}
#define CLOUDS
#define GAP256(v) (v)>255 ? 255 : ((v)<0 ? 0 : (v))
extern is_multiThread;
void build3Dtex(int Dim, float w, unsigned int *tex3ddata, unsigned int *pal)
{
float x,y,z;
int ix, iy, iz;
//int a;
//int proc = omp_get_num_procs();
#ifdef MULTITHREAD_ON
const int numThreads = omp_get_max_threads();
omp_set_num_threads(numThreads);
#endif
#pragma omp parallel default(shared) private(iz, z)
{
#pragma omp for schedule(dynamic) nowait
for (iz=0; iz<Dim; iz++) {
z=(float)iz/(float)Dim;
#pragma omp parallel private(iy, y) shared(z, iz, Dim, tex3ddata, pal, w)
{
#pragma omp for schedule(dynamic) nowait
for(iy=0; iy<Dim; iy++) {
y=(float)iy/(float)Dim;
#pragma omp parallel private(ix) shared(iz, z, iy, y, Dim, tex3ddata, pal, w)
{
#pragma omp for schedule(dynamic) nowait
for(ix=0; ix<Dim; ix++) {
//int val=noise((float)x/tex.x,(float)y/tex.y,(float)z/tex.z,nise)*512.0;
//val=GAP256(val);
#ifdef CLOUDS
const float f=fabsnoise((float)ix/(float)Dim,y,z,w);
int val= 127+((2.0*f-.55)*128.f);
val=GAP256(val);
tex3ddata[(iz<<(BITS<<1))+(iy<<BITS)+ix] = *(pal+val);
#else
tex3ddata[(iz<<(BITS<<1))+(iy<<BITS)+ix] = *((DWORD*)pal+calc_l(PosX+StartX+(EndX-StartX)*x/Dim,
PosY+StartY+(EndY-StartY)*y/Dim,
PosZ+StartZ+(EndZ-StartZ)*z/Dim,w));
#endif
//*((DWORD*)pal+*ptrB++);
}
}
}
}
}
}
} |
phostname.c | #include <stdlib.h>
#include <stdio.h>
#include <strings.h>
#include <string.h>
#include <omp.h>
#include <ctype.h>
#include <mpi.h>
#include <math.h>
char *trim ( char *s );
int node_color();
void dohelp();
void dohelp() {
/************************************************************
* This is a glorified hello world program. Each processor
* prints name, rank, and other information as described below.
* ************************************************************/
printf("phostname arguments:\n");
printf(" -h : Print this help message\n");
printf("\n");
printf("no arguments : Print a list of the nodes on which the command is run.\n");
printf("\n");
printf(" -f or -1 : Same as no argument but print MPI task id and Thread id\n");
printf(" If run with OpenMP threading enabled OMP_NUM_THREADS > 1\n");
printf(" there will be a line per MPI task and Thread.\n");
printf("\n");
printf(" -F or -2 : Add columns to tell first MPI task on a node and and the\n");
printf(" numbering of tasks on a node. (Hint: pipe this output in\n");
printf(" to sort -r\n");
printf("\n");
printf(" -a : Print a listing of the environmental variables passed to\n");
printf(" MPI task. (Hint: use the -l option with SLURM to prepend MPI\n");
printf(" task #.)\n");
}
int main(int argc, char **argv,char *envp[])
{
int myid,numprocs,resultlen;
int mycolor,new_id,new_nodes;
int i,k;
MPI_Comm node_comm;
char lname[MPI_MAX_PROCESSOR_NAME] ;
char *myname;
int full,envs,iarg,thr,tn,nt,help;
/* Format statements */
char *f1234="%4.4d %4.4d %18s %4.4d %4.4d\n";
char *f1235="%s %4.4d %4.4d\n";
char *f1236="%s\n";
MPI_Init(&argc,&argv);
MPI_Comm_size(MPI_COMM_WORLD,&numprocs);
MPI_Comm_rank(MPI_COMM_WORLD,&myid);
MPI_Get_processor_name(lname,&resultlen);
/* Get rid of "stuff" from the processor name. */
myname=trim(lname);
/* The next line is required for BGQ because the MPI task ID
is encoded in the processor name and we don't want it. */
if (strrchr(myname,32))myname=strrchr(myname,32);
/* read in command line args from task 0 */
if(myid == 0 ) {
full=0;
envs=0;
help=0;
if (argc > 1 ) {
for (iarg=1;iarg<argc;iarg++) {
if ( (strcmp(argv[iarg],"-h") == 0) ||
(strcmp(argv[iarg],"--h") == 0) ||
(strcmp(argv[iarg],"-help") == 0) ) help=1;
/**/
if ((strcmp(argv[iarg],"-f") == 0) ||
(strcmp(argv[iarg],"-1") == 0) ) full=1;
/**/
if ( (strcmp(argv[iarg],"-F") == 0) ||
(strcmp(argv[iarg],"-2") == 0) ) full=2;
/**/
if (strcmp(argv[iarg],"-a") == 0) envs=1;
}
}
}
/* send info to all tasks, if doing help doit and quit */
MPI_Bcast(&help,1,MPI_INT,0,MPI_COMM_WORLD);
if(help == 1) {
if(myid == 0) dohelp();
MPI_Finalize();
exit(0);
}
MPI_Bcast(&full,1,MPI_INT,0,MPI_COMM_WORLD);
MPI_Bcast(&envs,1,MPI_INT,0,MPI_COMM_WORLD);
if(myid == 0 && full == 2){
printf("task thread node name first task # on node\n");
}
/*********/
/* The routine NODE_COLOR will return the same value for all mpi
tasks that are running on the same node. We use this to create
a new communicator from which we get the numbering of tasks on
a node. */
// NODE_COLOR(&mycolor);
mycolor=node_color();
MPI_Comm_split(MPI_COMM_WORLD,mycolor,myid,&node_comm);
MPI_Comm_rank( node_comm, &new_id );
MPI_Comm_size( node_comm, &new_nodes);
tn=-1;
nt=-1;
/* Here we print out the information with the format and
verbosity determined by the value of full. We do this
a task at a time to "hopefully" get a bit better formatting. */
for (i=0;i<numprocs;i++) {
MPI_Barrier(MPI_COMM_WORLD);
if ( i != myid ) continue;
#pragma omp parallel
{
nt=omp_get_num_threads();
if ( nt == 0 ) nt=1;
#pragma omp critical
{
if ( nt < 2 ) {
nt=1;
tn=0;
}
else {
tn=omp_get_thread_num();
}
if(full == 0) {
if(tn == 0)printf(f1236,trim(myname));
}
if(full == 1) {
printf(f1235,trim(myname),myid,tn);
}
if(full == 2){
printf(f1234,myid,tn,trim(myname),mycolor,new_id);
}
}
}
/* here we print out the environment in which a MPI task is running */
if (envs == 1 && new_id==0) {
k=0;
while(envp[k]) {
printf("%s\n",envp[k]);
k++;
}
}
}
MPI_Finalize();
}
char *trim ( char *s )
{
int i = 0;
int j = strlen ( s ) - 1;
int k = 0;
while ( isspace ( s[i] ) && s[i] != '\0' )
i++;
while ( isspace ( s[j] ) && j >= 0 )
j--;
while ( i <= j )
s[k++] = s[i++];
s[k] = '\0';
return s;
}
/*
! return a integer which is unique to all mpi
! tasks running on a particular node. It is
! equal to the id of the first MPI task running
! on a node. This can be used to create
! MPI communicators which only contain tasks on
! a node.
*/
#include <mpi.h>
#include <string.h>
int node_color() {
int mycol;
MPI_Status status;
int xchng,i,n2,myid,numprocs;
int ierr,nlen;
int ie;
char *pch;
char name[MPI_MAX_PROCESSOR_NAME+1];
char nlist[MPI_MAX_PROCESSOR_NAME+1];
MPI_Comm_size(MPI_COMM_WORLD,&numprocs);
MPI_Comm_rank(MPI_COMM_WORLD,&myid);
MPI_Get_processor_name(name,&nlen);
pch=strrchr(name,' ');
if(pch) {
ie=strlen(pch+1);
memmove(&name[0],pch+1,ie+1);
memmove(&nlist[0],pch+1,ie+1);
}
else {
strcpy(nlist,name);
}
mycol=myid;
n2=1;
while (n2 < numprocs) {
n2=n2*2;
}
for(i=1;i<=n2-1;i++) {
xchng=i^myid;
if(xchng <= (numprocs-1)) {
if(myid < xchng) {
ierr=MPI_Send(name,MPI_MAX_PROCESSOR_NAME, MPI_CHAR, xchng, 12345, MPI_COMM_WORLD);
ierr=MPI_Recv(nlist, MPI_MAX_PROCESSOR_NAME,MPI_CHAR,xchng,12345, MPI_COMM_WORLD, &status);
}
else {
ierr=MPI_Recv(nlist, MPI_MAX_PROCESSOR_NAME,MPI_CHAR,xchng,12345, MPI_COMM_WORLD, &status);
ierr=MPI_Send(name,MPI_MAX_PROCESSOR_NAME, MPI_CHAR, xchng, 12345, MPI_COMM_WORLD);
}
if (strcmp(nlist,name) == 0 && xchng < mycol)mycol=xchng;
}
else {
/* skip this stage */
}
}
return mycol;
}
|
GB_unaryop__identity_int64_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__identity_int64_fp64
// op(A') function: GB_tran__identity_int64_fp64
// C type: int64_t
// A type: double
// cast: int64_t cij ; GB_CAST_SIGNED(cij,aij,64)
// unaryop: cij = aij
#define GB_ATYPE \
double
#define GB_CTYPE \
int64_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_CASTING(z, x) \
int64_t z ; GB_CAST_SIGNED(z,x,64) ;
// 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_INT64 || GxB_NO_FP64)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop__identity_int64_fp64
(
int64_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__identity_int64_fp64
(
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
|
GB_binop__first_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__first_int16)
// A.*B function (eWiseMult): GB (_AemultB_08__first_int16)
// A.*B function (eWiseMult): GB (_AemultB_02__first_int16)
// A.*B function (eWiseMult): GB (_AemultB_04__first_int16)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__first_int16)
// A*D function (colscale): GB (_AxD__first_int16)
// D*A function (rowscale): GB (_DxB__first_int16)
// C+=B function (dense accum): GB (_Cdense_accumB__first_int16)
// C+=b function (dense accum): GB (_Cdense_accumb__first_int16)
// C+=A+B function (dense ewise3): GB ((none))
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__first_int16)
// C=scalar+B GB ((none))
// C=scalar+B' GB ((none))
// C=A+scalar GB ((none))
// C=A'+scalar GB ((none))
// C type: int16_t
// A type: int16_t
// A pattern? 0
// B type: int16_t
// B pattern? 1
// BinaryOp: cij = aij
#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) \
;
// true if values of B are not used
#define GB_B_IS_PATTERN \
1 \
// 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 ;
// 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_FIRST || GxB_NO_INT16 || GxB_NO_FIRST_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__first_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__first_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
#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__first_int16)
(
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 int16_t
int16_t bwork = (*((int16_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__first_int16)
(
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
}
//------------------------------------------------------------------------------
// C = D*B, row scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_DxB__first_int16)
(
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
}
//------------------------------------------------------------------------------
// eWiseAdd: C=A+B, C<M>=A+B, C<!M>=A+B
//------------------------------------------------------------------------------
GrB_Info GB (_AaddB__first_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__first_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__first_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__first_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__first_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
//------------------------------------------------------------------------------
#if 0
GrB_Info GB ((none))
(
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 ;
; ;
Cx [p] = x ;
}
return (GrB_SUCCESS) ;
#endif
}
#endif
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
#if 0
GrB_Info GB ((none))
(
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 ;
}
return (GrB_SUCCESS) ;
#endif
}
#endif
//------------------------------------------------------------------------------
// C = op (x, A'): transpose and apply a binary operator
//------------------------------------------------------------------------------
#if 0
// cij = op (x, aij), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
; ; \
Cx [pC] = x ; \
}
GrB_Info GB ((none))
(
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
}
#endif
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
#if 0
// 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 ; \
}
GrB_Info GB ((none))
(
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
#endif
|
ScanSky_OpenMP.c | /*
* Contar cuerpos celestes
*
* Asignatura Computación Paralela (Grado Ingeniería Informática)
* Código secuencial base
*
* @author Ana Moretón Fernández
* @version v1.2
*
* (c) 2017, Grupo Trasgo, Universidad de Valladolid
*/
#include <stdio.h>
#include <unistd.h>
#include <stdlib.h>
#include <time.h>
#include "cputils.h"
#include <omp.h>
/* Substituir min por el operador */
#define min(x,y) ((x) < (y)? (x) : (y))
/**
* Funcion secuencial para la busqueda de mi bloque
*/
int computation(int x, int y, int columns, int* matrixData, int *matrixResult/*, int *matrixResultCopy*/){
// Inicialmente cojo mi indice
int result=matrixResult[x*columns+y];
if( result!= -1){
//Si es de mi mismo grupo, entonces actualizo
if(matrixData[(x-1)*columns+y] == matrixData[x*columns+y])
{
result = min (result, matrixResult[(x-1)*columns+y]);
}
if(matrixData[(x+1)*columns+y] == matrixData[x*columns+y])
{
result = min (result, matrixResult[(x+1)*columns+y]);
}
if(matrixData[x*columns+y-1] == matrixData[x*columns+y])
{
result = min (result, matrixResult[x*columns+y-1]);
}
if(matrixData[x*columns+y+1] == matrixData[x*columns+y])
{
result = min (result, matrixResult[x*columns+y+1]);
}
// Si el indice no ha cambiado retorna 0
if(matrixResult[x*columns+y] == result){ return 0; }
// Si el indice cambia, actualizo matrix de resultados con el indice adecuado y retorno 1
else { matrixResult[x*columns+y]=result; return 1;}
}
return 0;
}
/**
* Funcion principal
*/
int main (int argc, char* argv[])
{
/* 1. Leer argumento y declaraciones */
if (argc < 2) {
printf("Uso: %s <imagen_a_procesar>\n", argv[0]);
return(EXIT_SUCCESS);
}
char* image_filename = argv[1];
int rows=-1;
int columns =-1;
int *matrixData=NULL;
int *matrixResult=NULL;
int *matrixResultCopy=NULL;
int numBlocks=-1;
/* 2. Leer Fichero de entrada e inicializar datos */
/* 2.1 Abrir fichero */
FILE *f = cp_abrir_fichero(image_filename);
// Compruebo que no ha habido errores
if (f==NULL)
{
perror ("Error al abrir fichero.txt");
return -1;
}
/* 2.2 Leo valores del fichero */
int i,j,valor;
fscanf (f, "%d\n", &rows);
fscanf (f, "%d\n", &columns);
// Añado dos filas y dos columnas mas para los bordes
rows=rows+2;
columns = columns+2;
/* 2.3 Reservo la memoria necesaria para la matriz de datos */
matrixData= (int *)malloc( rows*(columns) * sizeof(int) );
if ( (matrixData == NULL) ) {
perror ("Error reservando memoria");
return -1;
}
/* 2.4 Inicializo matrices */
for(i=0;i< rows; i++){
for(j=0;j< columns; j++){
matrixData[i*(columns)+j]=-1;
}
}
/* 2.5 Relleno bordes de la matriz */
for(i=1;i<rows-1;i++){
matrixData[i*(columns)+0]=0;
matrixData[i*(columns)+columns-1]=0;
}
for(i=1;i<columns-1;i++){
matrixData[0*(columns)+i]=0;
matrixData[(columns-1)*(columns)+i]=0;
}
/* 2.6 Relleno la matriz con los datos del fichero */
for(i=1;i<rows-1;i++){
for(j=1;j<columns-1;j++){
fscanf (f, "%d\n", &matrixData[i*(columns)+j]);
}
}
fclose(f);
#ifdef WRITE
printf("Inicializacion \n");
for(i=0;i<rows;i++){
for(j=0;j<columns;j++){
printf ("%d\t", matrixData[i*(columns)+j]);
}
printf("\n");
}
#endif
/* PUNTO DE INICIO MEDIDA DE TIEMPO */
double t_ini = cp_Wtime();
//
// EL CODIGO A PARALELIZAR COMIENZA AQUI
//
/* 3. Etiquetado inicial */
matrixResult= (int *)malloc( (rows)*(columns) * sizeof(int) );
matrixResultCopy= (int *)malloc( (rows)*(columns) * sizeof(int) );
if ( (matrixResult == NULL) || (matrixResultCopy == NULL) ) {
perror ("Error reservando memoria");
return -1;
}
#pragma omp parallel for shared(matrixResult, matrixData) private(i, j)
for(i=0;i< rows; i++){
for(j=0;j< columns; j++){
matrixResult[i*(columns)+j]=-1;
// Si es 0 se trata del fondo y no lo computamos
if(matrixData[i*(columns)+j]!=0){
matrixResult[i*(columns)+j]=i*(columns)+j;
}
}
}
/* 4. Computacion */
int t=0;
/* 4.1 Flag para ver si ha habido cambios y si se continua la ejecucion */
int flagCambio=1;
/* 4.2 Busqueda de los bloques similiares */
for(t=0; flagCambio!=0; t++){
flagCambio=0;
/* 4.2.1 Actualizacion copia */
#pragma omp parallel for shared (matrixResult, matrixResultCopy) private(i,j)
for(i=1;i<rows-1;i++){
for(j=1;j<columns-1;j++){
//if(matrixResult[i*(columns)+j]!=-1){
matrixResultCopy[i*(columns)+j]=matrixResult[i*(columns)+j];
//}
}
}
/* 4.2.2 Computo y detecto si ha habido cambios */
#pragma omp parallel for shared (matrixData, matrixResult/*, matrixResultCopy*/) private(i,j) reduction(+:flagCambio)
for(i=1;i<rows-1;i++){
for(j=1;j<columns-1;j++){
flagCambio= flagCambio+ computation(i,j,columns, matrixData, matrixResult/*, matrixResultCopy*/);
}
}
#ifdef DEBUG
printf("\nResultados iter %d: \n", t);
for(i=0;i<rows;i++){
for(j=0;j<columns;j++){
printf ("%d\t", matrixResult[i*columns+j]);
}
printf("\n");
}
#endif
}
/* 4.3 Inicio cuenta del numero de bloques */
numBlocks=0;
#pragma omp parallel for shared(matrixResult) private(i, j) reduction(+:numBlocks)
for(i=1;i<rows-1;i++){
for(j=1;j<columns-1;j++){
if(matrixResult[i*columns+j] == i*columns+j)
numBlocks++;
}
}
//
// EL CODIGO A PARALELIZAR TERMINA AQUI
//
/* PUNTO DE FINAL DE MEDIDA DE TIEMPO */
double t_fin = cp_Wtime();
/* 5. Comprobación de resultados */
double t_total = (double)(t_fin - t_ini);
printf("Result: %d\n", numBlocks);
printf("Time: %lf\n", t_total);
#ifdef WRITE
printf("Resultado: \n");
for(i=0;i<rows;i++){
for(j=0;j<columns;j++){
printf ("%d\t", matrixResult[i*columns+j]);
}
printf("\n");
}
#endif
/* 6. Liberacion de memoria */
free(matrixData);
free(matrixResult);
free(matrixResultCopy);
}
|
app_main.c | #include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include "bmp_interface.h"
#include <omp.h>
extern int __htc_get_unit_count();
extern int global_radius;
int app_main(int argc, char **argv) {
uint32_t bufsize = 1000;
// Allocate target temp buffer.
extern void *stencil_cp_alloc(size_t);
uint8_t *unew = (uint8_t *)stencil_cp_alloc(bufsize * sizeof(uint8_t));
printf("unit count is %d\n", __htc_get_unit_count());
int i;
#pragma omp target
#pragma omp teams distribute num_teams(4) dist_schedule(static, 12)
for (i = 0; i < bufsize; i++) {
printf("team %d thread %d i is %d\n", (int)omp_get_team_num(),
(int)omp_get_thread_num(), i);
unew[i] = omp_get_team_num() * (omp_get_thread_num()+1);
}
int sum = 0;
for (i = 0; i < bufsize; i++) {
// printf("i = %d val = %d\n", i, unew[i]);
sum += unew[i];
}
printf("sum is %d %s\n", sum, (sum == 1488) ? "PASSED" : "FAILED");
return 0;
}
|
utils.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
* \file utils.h
* \brief Basic utilility functions.
*/
#ifndef MXNET_COMMON_UTILS_H_
#define MXNET_COMMON_UTILS_H_
#include <dmlc/logging.h>
#include <dmlc/omp.h>
#include <nnvm/graph.h>
#include <nnvm/node.h>
#include <mxnet/engine.h>
#include <mxnet/ndarray.h>
#include <mxnet/op_attr_types.h>
#include <mxnet/graph_attr_types.h>
#include <nnvm/graph_attr_types.h>
#include <memory>
#include <vector>
#include <type_traits>
#include <utility>
#include <random>
#include <string>
#include <thread>
#include <algorithm>
#include <functional>
#include <limits>
#include "../operator/mxnet_op.h"
#if MXNET_USE_MKLDNN == 1
#include "../operator/nn/mkldnn/mkldnn_base-inl.h"
#endif
#if defined(_WIN32) || defined(_WIN64) || defined(__WINDOWS__)
#include <windows.h>
#else
#include <unistd.h>
#endif
namespace mxnet {
namespace common {
#if defined(_WIN32) || defined(_WIN64) || defined(__WINDOWS__)
inline size_t current_process_id() { return ::GetCurrentProcessId(); }
#else
inline size_t current_process_id() { return getpid(); }
#endif
/*!
* \brief IndPtr should be non-negative, in non-decreasing order, start with 0
* and end with value equal with size of indices.
*/
struct csr_indptr_check {
template<typename DType, typename IType>
MSHADOW_XINLINE static void Map(int i, DType* out, const IType* indptr,
const nnvm::dim_t end, const nnvm::dim_t idx_size) {
if (indptr[i+1] < 0 || indptr[i+1] < indptr[i] ||
(i == 0 && indptr[i] != 0) ||
(i == end - 1 && indptr[end] != idx_size))
*out = kCSRIndPtrErr;
}
};
/*!
* \brief Indices should be non-negative, less than the number of columns
* and in ascending order per row.
*/
struct csr_idx_check {
template<typename DType, typename IType, typename RType>
MSHADOW_XINLINE static void Map(int i, DType* out, const IType* idx,
const RType* indptr, const nnvm::dim_t ncols) {
for (RType j = indptr[i]; j < indptr[i+1]; j++) {
if (idx[j] >= ncols || idx[j] < 0 ||
(j < indptr[i+1] - 1 && idx[j] >= idx[j+1])) {
*out = kCSRIdxErr;
break;
}
}
}
};
/*!
* \brief Indices of RSPNDArray should be non-negative,
* less than the size of first dimension and in ascending order
*/
struct rsp_idx_check {
template<typename DType, typename IType>
MSHADOW_XINLINE static void Map(int i, DType* out, const IType* idx,
const nnvm::dim_t end, const nnvm::dim_t nrows) {
if ((i < end && idx[i+1] <= idx[i])
|| idx[i] < 0 || idx[i] >= nrows)
*out = kRSPIdxErr;
}
};
template<typename xpu>
void CheckFormatWrapper(const RunContext &rctx, const NDArray &input,
const TBlob &err_cpu, const bool full_check);
/*!
* \brief Check the validity of CSRNDArray.
* \param rctx Execution context.
* \param input Input NDArray of CSRStorage.
* \param err_cpu Error number on cpu.
* \param full_check If true, rigorous check, O(N) operations,
* otherwise basic check, O(1) operations.
*/
template<typename xpu>
void CheckFormatCSRImpl(const RunContext &rctx, const NDArray &input,
const TBlob &err_cpu, const bool full_check) {
using namespace op::mxnet_op;
CHECK_EQ(input.storage_type(), kCSRStorage)
<< "CheckFormatCSRImpl is for CSRNDArray";
const mxnet::TShape shape = input.shape();
const mxnet::TShape idx_shape = input.aux_shape(csr::kIdx);
const mxnet::TShape indptr_shape = input.aux_shape(csr::kIndPtr);
const mxnet::TShape storage_shape = input.storage_shape();
if ((shape.ndim() != 2) ||
(idx_shape.ndim() != 1 || indptr_shape.ndim() != 1 || storage_shape.ndim() != 1) ||
(indptr_shape[0] != shape[0] + 1) ||
(idx_shape[0] != storage_shape[0])) {
MSHADOW_TYPE_SWITCH(err_cpu.type_flag_, DType, {
DType* err = err_cpu.dptr<DType>();
*err = kCSRShapeErr;
});
return;
}
if (full_check) {
MSHADOW_TYPE_SWITCH(err_cpu.type_flag_, DType, {
MSHADOW_IDX_TYPE_SWITCH(input.aux_type(csr::kIndPtr), RType, {
MSHADOW_IDX_TYPE_SWITCH(input.aux_type(csr::kIdx), IType, {
mshadow::Stream<xpu> *s = rctx.get_stream<xpu>();
NDArray ret_xpu = NDArray(mshadow::Shape1(1),
rctx.get_ctx(), false, err_cpu.type_flag_);
TBlob val_xpu = ret_xpu.data();
Kernel<set_to_int<kNormalErr>, xpu>::Launch(s, val_xpu.Size(), val_xpu.dptr<DType>());
Kernel<csr_indptr_check, xpu>::Launch(s, indptr_shape[0] - 1, val_xpu.dptr<DType>(),
input.aux_data(csr::kIndPtr).dptr<RType>(),
indptr_shape[0] - 1, idx_shape[0]);
// no need to check indices if indices are empty
if (idx_shape[0] != 0) {
Kernel<csr_idx_check, xpu>::Launch(s, indptr_shape[0] - 1, val_xpu.dptr<DType>(),
input.aux_data(csr::kIdx).dptr<IType>(),
input.aux_data(csr::kIndPtr).dptr<RType>(), shape[1]);
}
mshadow::Copy(err_cpu.get<cpu, 1, DType>(),
val_xpu.get<xpu, 1, DType>(s), s);
});
});
});
}
}
/*!
* \brief Check the validity of RowSparseNDArray.
* \param rctx Execution context.
* \param input Input NDArray of RowSparseStorage.
* \param err_cpu Error number on cpu.
* \param full_check If true, rigorous check, O(N) operations,
* otherwise basic check, O(1) operations.
*/
template<typename xpu>
void CheckFormatRSPImpl(const RunContext &rctx, const NDArray &input,
const TBlob &err_cpu, const bool full_check) {
using namespace op::mxnet_op;
CHECK_EQ(input.storage_type(), kRowSparseStorage)
<< "CheckFormatRSPImpl is for RSPNDArray";
const mxnet::TShape idx_shape = input.aux_shape(rowsparse::kIdx);
if (idx_shape[0] != input.storage_shape()[0]) {
MSHADOW_TYPE_SWITCH(err_cpu.type_flag_, DType, {
DType* err = err_cpu.dptr<DType>();
*err = kRSPShapeErr;
});
return;
}
if (idx_shape[0] == 0) {
return;
}
if (full_check) {
MSHADOW_TYPE_SWITCH(err_cpu.type_flag_, DType, {
MSHADOW_IDX_TYPE_SWITCH(input.aux_type(rowsparse::kIdx), IType, {
mshadow::Stream<xpu> *s = rctx.get_stream<xpu>();
NDArray ret_xpu = NDArray(mshadow::Shape1(1),
rctx.get_ctx(), false, err_cpu.type_flag_);
TBlob val_xpu = ret_xpu.data();
Kernel<set_to_int<kNormalErr>, xpu>::Launch(s, val_xpu.Size(), val_xpu.dptr<DType>());
Kernel<rsp_idx_check, xpu>::Launch(s, idx_shape[0],
val_xpu.dptr<DType>(), input.aux_data(rowsparse::kIdx).dptr<IType>(),
idx_shape[0] - 1, input.shape()[0]);
mshadow::Copy(err_cpu.get<cpu, 1, DType>(),
val_xpu.get<xpu, 1, DType>(s), s);
});
});
}
}
template<typename xpu>
void CheckFormatImpl(const RunContext &rctx, const NDArray &input,
const TBlob &err_cpu, const bool full_check) {
int stype = input.storage_type();
if (stype == kCSRStorage) {
CheckFormatCSRImpl<xpu>(rctx, input, err_cpu, full_check);
} else if (stype == kRowSparseStorage) {
CheckFormatRSPImpl<xpu>(rctx, input, err_cpu, full_check);
} else if (stype == kDefaultStorage) {
// no-op for default storage
} else {
LOG(FATAL) << "Unknown storage type " << stype;
}
}
/*! \brief Pick rows specified by user input index array from a row sparse ndarray
* and save them in the output sparse ndarray.
*/
template<typename xpu>
void SparseRetainOpForwardRspWrapper(mshadow::Stream<xpu> *s,
const NDArray& input_nd,
const TBlob& idx_data,
const OpReqType req,
NDArray* output_nd);
/* \brief Casts tensor storage type to the new type.
*/
template<typename xpu>
void CastStorageDispatch(const OpContext& ctx, const NDArray& input, const NDArray& output);
/*! \brief returns true if all storage types in `vstorage` are the same as target `stype`.
* false is returned for empty inputs.
*/
inline bool ContainsOnlyStorage(const StorageTypeVector& vstorage,
const NDArrayStorageType stype) {
if (!vstorage.empty()) {
for (const auto& i : vstorage) {
if (i != stype) return false;
}
return true;
}
return false;
}
/*! \brief returns true if all storage types in `vstorage` are the same as target `stype1`
* or `stype2'. Sets boolean if both found.
* false is returned for empty inputs.
*/
inline bool ContainsOnlyStorage(const StorageTypeVector& vstorage,
const NDArrayStorageType stype1,
const NDArrayStorageType stype2,
bool *has_both) {
if (has_both) {
*has_both = false;
}
if (!vstorage.empty()) {
uint8_t has = 0;
for (const auto i : vstorage) {
if (i == stype1) {
has |= 1;
} else if (i == stype2) {
has |= 2;
} else {
return false;
}
}
if (has_both) {
*has_both = has == 3;
}
return true;
}
return false;
}
/*! \brief returns true if the storage types of arrays in `ndarrays`
* are the same as target `stype`. false is returned for empty inputs.
*/
inline bool ContainsOnlyStorage(const std::vector<NDArray>& ndarrays,
const NDArrayStorageType stype) {
if (!ndarrays.empty()) {
for (const auto& nd : ndarrays) {
if (nd.storage_type() != stype) {
return false;
}
}
return true;
}
return false;
}
/*! \brief returns true if the storage types of arrays in `ndarrays`
* are the same as targets `stype1` or `stype2`. false is returned for empty inputs.
*/
inline bool ContainsOnlyStorage(const std::vector<NDArray>& ndarrays,
const NDArrayStorageType stype1,
const NDArrayStorageType stype2,
bool *has_both) {
if (has_both) {
*has_both = false;
}
if (!ndarrays.empty()) {
uint8_t has = 0;
for (const auto& nd : ndarrays) {
const NDArrayStorageType stype = nd.storage_type();
if (stype == stype1) {
has |= 1;
} else if (stype == stype2) {
has |= 2;
} else {
return false;
}
}
if (has_both) {
*has_both = has == 3;
}
return true;
}
return false;
}
/*! \brief returns true if storage type of any array in `ndarrays`
* is the same as the target `stype`. false is returned for empty inputs.
*/
inline bool ContainsStorageType(const std::vector<NDArray>& ndarrays,
const NDArrayStorageType stype) {
if (!ndarrays.empty()) {
for (const auto& nd : ndarrays) {
if (nd.storage_type() == stype) {
return true;
}
}
}
return false;
}
/*! \brief returns true if any storage type `ndstype` in `ndstypes`
* is the same as the target `stype`. false is returned for empty inputs.
*/
inline bool ContainsStorageType(const std::vector<int>& ndstypes,
const NDArrayStorageType stype) {
if (!ndstypes.empty()) {
for (const auto& ndstype : ndstypes) {
if (ndstype == stype) {
return true;
}
}
}
return false;
}
/*! \brief get string representation of dispatch_mode */
inline std::string dispatch_mode_string(const DispatchMode x) {
switch (x) {
case DispatchMode::kFCompute:
return "fcompute";
case DispatchMode::kFComputeEx:
return "fcompute_ex";
case DispatchMode::kFComputeFallback:
return "fcompute_fallback";
case DispatchMode::kVariable:
return "variable";
case DispatchMode::kUndefined:
return "undefined";
}
return "unknown";
}
/*! \brief get string representation of storage_type */
inline std::string stype_string(const int x) {
switch (x) {
case kDefaultStorage:
return "default";
case kCSRStorage:
return "csr";
case kRowSparseStorage:
return "row_sparse";
}
return "unknown";
}
/*! \brief get string representation of device type */
inline std::string dev_type_string(const int dev_type) {
switch (dev_type) {
case Context::kCPU:
return "cpu";
case Context::kGPU:
return "gpu";
case Context::kCPUPinned:
return "cpu_pinned";
case Context::kCPUShared:
return "cpu_shared";
}
return "unknown";
}
inline std::string attr_value_string(const nnvm::NodeAttrs& attrs,
const std::string& attr_name,
std::string default_val = "") {
if (attrs.dict.find(attr_name) == attrs.dict.end()) {
return default_val;
}
return attrs.dict.at(attr_name);
}
/*! \brief get string representation of the operator stypes */
inline std::string operator_stype_string(const nnvm::NodeAttrs& attrs,
const int dev_mask,
const std::vector<int>& in_attrs,
const std::vector<int>& out_attrs) {
std::ostringstream os;
os << "operator = " << attrs.op->name
<< "\ninput storage types = [";
for (const int attr : in_attrs) {
os << stype_string(attr) << ", ";
}
os << "]\n"
<< "output storage types = [";
for (const int attr : out_attrs) {
os << stype_string(attr) << ", ";
}
os << "]\n"
<< "params = {";
for (auto kv : attrs.dict) {
os << "\"" << kv.first << "\" : " << kv.second << ", ";
}
os << "}\n"
<< "context.dev_mask = " << dev_type_string(dev_mask);
return os.str();
}
/*! \brief get string representation of the operator */
inline std::string operator_string(const nnvm::NodeAttrs& attrs,
const OpContext& ctx,
const std::vector<NDArray>& inputs,
const std::vector<OpReqType>& req,
const std::vector<NDArray>& outputs) {
std::string result = "";
std::vector<int> in_stypes;
std::vector<int> out_stypes;
in_stypes.reserve(inputs.size());
out_stypes.reserve(outputs.size());
auto xform = [](const NDArray arr) -> int { return arr.storage_type(); };
std::transform(inputs.begin(), inputs.end(), std::back_inserter(in_stypes), xform);
std::transform(outputs.begin(), outputs.end(), std::back_inserter(out_stypes), xform);
result += operator_stype_string(attrs, ctx.run_ctx.ctx.dev_mask(), in_stypes, out_stypes);
return result;
}
/*! \brief log message once. Intended for storage fallback warning messages. */
inline void LogOnce(const std::string& message) {
typedef dmlc::ThreadLocalStore<std::unordered_set<std::string>> LogStore;
auto log_store = LogStore::Get();
if (log_store->find(message) == log_store->end()) {
LOG(INFO) << message;
log_store->insert(message);
}
}
/*! \brief log storage fallback event
*/
inline void LogStorageFallback(const nnvm::NodeAttrs& attrs,
const int dev_mask,
const std::vector<int>* in_attrs,
const std::vector<int>* out_attrs) {
static bool log = dmlc::GetEnv("MXNET_STORAGE_FALLBACK_LOG_VERBOSE", true);
if (!log) return;
const std::string op_str = operator_stype_string(attrs, dev_mask, *in_attrs, *out_attrs);
std::ostringstream os;
const char* warning = "\nThe operator with default storage type will be dispatched "
"for execution. You're seeing this warning message because the operator above is unable "
"to process the given ndarrays with specified storage types, context and parameter. "
"Temporary dense ndarrays are generated in order to execute the operator. "
"This does not affect the correctness of the programme. "
"You can set environment variable MXNET_STORAGE_FALLBACK_LOG_VERBOSE to "
"0 to suppress this warning.";
os << "\nStorage type fallback detected:\n" << op_str << warning;
LogOnce(os.str());
#if MXNET_USE_MKLDNN == 1
if (!MKLDNNEnvSet()) common::LogOnce("MXNET_MKLDNN_ENABLED flag is off. "
"You can re-enable by setting MXNET_MKLDNN_ENABLED=1");
if (GetMKLDNNCacheSize() != -1) common::LogOnce("MXNET_MKLDNN_CACHE_NUM is set."
"Should only be set if "
"your model has variable input shapes, "
"as cache size may grow unbounded");
#endif
}
// heuristic to dermine number of threads per GPU
inline int GetNumThreadsPerGPU() {
// This is resource efficient option.
return dmlc::GetEnv("MXNET_GPU_WORKER_NTHREADS", 2);
}
// heuristic to get number of matching colors.
// this decides how much parallelism we can get in each GPU.
inline int GetExecNumMatchColor() {
// This is resource efficient option.
int num_match_color = dmlc::GetEnv("MXNET_EXEC_NUM_TEMP", 1);
return std::min(num_match_color, GetNumThreadsPerGPU());
}
template<typename T, typename V>
V ParallelAccumulate(const T* a, const int n, V start) {
V sum = start;
#pragma omp parallel for reduction(+:sum)
for (int i = 0; i < n; ++i) {
sum += a[i];
}
return sum;
}
/*!
* \brief
* Helper function for ParallelSort.
* DO NOT call this function directly.
* Use the interface ParallelSort instead.
* Ref: https://github.com/dmlc/difacto/blob/master/src/common/parallel_sort.h
*/
template<typename RandomIt, typename Compare>
void ParallelSortHelper(RandomIt first, size_t len,
size_t grainsize, const Compare& comp) {
if (len < grainsize) {
std::sort(first, first+len, comp);
} else {
std::thread thr(ParallelSortHelper<RandomIt, Compare>, first, len/2, grainsize, comp);
ParallelSortHelper(first+len/2, len - len/2, grainsize, comp);
thr.join();
std::inplace_merge(first, first+len/2, first+len, comp);
}
}
/*!
* \brief
* Sort the elements in the range [first, last) into the ascending order defined by
* the comparator comp.
* If the length of the range [first, last) is greater than a certain threshold,
* the range will be recursively divided into two and assign two threads
* to sort each half range.
* Ref: https://github.com/dmlc/difacto/blob/master/src/common/parallel_sort.h
*/
template<typename RandomIt, typename Compare>
void ParallelSort(RandomIt first, RandomIt last, size_t num_threads, Compare comp) {
const auto num = std::distance(first, last);
size_t grainsize = std::max(num / num_threads + 5, static_cast<size_t>(1024*16));
ParallelSortHelper(first, num, grainsize, comp);
}
/*!
* \brief
* Sort the elements in the range [first, last) into ascending order.
* The elements are compared using the default < operator.
* If the length of the range [first, last) is greater than a certain threshold,
* the range will be recursively divided into two and assign two threads
* to sort each half range.
* Ref: https://github.com/dmlc/difacto/blob/master/src/common/parallel_sort.h
*/
template<typename RandomIt>
void ParallelSort(RandomIt first, RandomIt last, size_t num_threads) {
ParallelSort(first, last, num_threads,
std::less<typename std::iterator_traits<RandomIt>::value_type>());
}
/*!
* \brief Random Engine
*/
typedef std::mt19937 RANDOM_ENGINE;
/*!
* \brief Helper functions.
*/
namespace helper {
/*!
* \brief Helper for non-array type `T`.
*/
template <class T>
struct UniqueIf {
/*!
* \brief Type of `T`.
*/
using SingleObject = std::unique_ptr<T>;
};
/*!
* \brief Helper for an array of unknown bound `T`.
*/
template <class T>
struct UniqueIf<T[]> {
/*!
* \brief Type of `T`.
*/
using UnknownBound = std::unique_ptr<T[]>;
};
/*!
* \brief Helper for an array of known bound `T`.
*/
template <class T, size_t kSize>
struct UniqueIf<T[kSize]> {
/*!
* \brief Type of `T`.
*/
using KnownBound = void;
};
} // namespace helper
/*!
* \brief Constructs an object of type `T` and wraps it in a
* `std``::``unique_ptr`.
* \param args List of arguments with which an instance of `T` will be
* constructed.
* \return `std``::``unique_ptr` of an instance of type `T`.
*
* Constructs a non-array type `T`. The arguments `args` are passed to the
* constructor of `T`. The function does not participate in the overload
* resolution if `T` is an array type.
*/
template <class T, class... Args>
typename helper::UniqueIf<T>::SingleObject MakeUnique(Args&&... args) {
return std::unique_ptr<T>(new T(std::forward<Args>(args)...));
}
/*!
* \brief Constructs an object of type `T` and wraps it in a
* `std``::``unique_ptr`.
* \param n The size of the array to construct.
* \return `std``::``unique_ptr` of an instance of type `T`.
*
* Constructs an array of unknown bound `T`. The function does not participate
* in the overload resolution unless `T` is an array of unknown bound.
*/
template <class T>
typename helper::UniqueIf<T>::UnknownBound MakeUnique(size_t n) {
using U = typename std::remove_extent<T>::type;
return std::unique_ptr<T>(new U[n]{});
}
/*!
* \brief Constructs an object of type `T` and wraps it in a
* `std``::``unique_ptr`.
* \param args List of arguments with which an instance of `T` will be
* constructed.
*
* Constructs an arrays of known bound is disallowed.
*/
template <class T, class... Args>
typename helper::UniqueIf<T>::KnownBound MakeUnique(Args&&... args) = delete;
template<typename FCompType>
FCompType GetFCompute(const nnvm::Op* op, const std::string& name,
const Context& ctx) {
static auto& fcompute_cpu = nnvm::Op::GetAttr<FCompType>(name + "<cpu>");
static auto& fcompute_gpu = nnvm::Op::GetAttr<FCompType>(name + "<gpu>");
if (ctx.dev_mask() == cpu::kDevMask) {
return fcompute_cpu.get(op, nullptr);
} else if (ctx.dev_mask() == gpu::kDevMask) {
return fcompute_gpu.get(op, nullptr);
} else {
LOG(FATAL) << "Unknown device mask " << ctx.dev_mask();
return nullptr;
}
}
/*!
* \brief Return the max integer value representable in the type `T` without loss of precision.
*/
template <typename T>
constexpr size_t MaxIntegerValue() {
return std::is_integral<T>::value ?
std::numeric_limits<T>::max():
size_t(2) << (std::numeric_limits<T>::digits - 1);
}
template <>
constexpr size_t MaxIntegerValue<mshadow::half::half_t>() {
return size_t(2) << 10;
}
MSHADOW_XINLINE int ilog2ul(size_t a) {
int k = 1;
while (a >>= 1) ++k;
return k;
}
MSHADOW_XINLINE int ilog2ui(unsigned int a) {
int k = 1;
while (a >>= 1) ++k;
return k;
}
/*!
* \brief Return an NDArray of all zeros.
*/
inline NDArray InitZeros(const NDArrayStorageType stype, const mxnet::TShape &shape,
const Context &ctx, const int dtype) {
// NDArray with default storage
if (stype == kDefaultStorage) {
NDArray ret(shape, ctx, false, dtype);
ret = 0;
return ret;
}
// NDArray with non-default storage. Storage allocation is always delayed.
return NDArray(stype, shape, ctx, true, dtype);
}
/*!
* \brief Helper to add a NDArray of zeros to a std::vector.
*/
inline void EmplaceBackZeros(const NDArrayStorageType stype, const mxnet::TShape &shape,
const Context &ctx, const int dtype,
std::vector<NDArray> *vec) {
// NDArray with default storage
if (stype == kDefaultStorage) {
vec->emplace_back(shape, ctx, false, dtype);
vec->back() = 0;
} else {
// NDArray with non-default storage. Storage allocation is always delayed.
vec->emplace_back(stype, shape, ctx, true, dtype);
}
}
/*!
* \brief parallelize copy by OpenMP.
*/
template<typename DType>
inline void ParallelCopy(DType* dst, const DType* src, index_t size) {
static index_t copy_block_size = dmlc::GetEnv("MXNET_CPU_PARALLEL_SIZE", 200000);
if (size >= copy_block_size) {
#pragma omp parallel for num_threads(engine::OpenMP::Get()->GetRecommendedOMPThreadCount())
for (index_t i = 0; i < size; ++i) {
dst[i] = src[i];
}
} else {
std::memcpy(dst, src, sizeof(DType) * size);
}
}
/*!
* \breif parallelize add by OpenMP
*/
template<typename DType>
inline void ParallelAdd(DType* dst, const DType* src, index_t size) {
static index_t add_block_size = dmlc::GetEnv("MXNET_CPU_PARALLEL_SIZE", 200000);
if (size >= add_block_size) {
#pragma omp parallel for num_threads(engine::OpenMP::Get()->GetRecommendedOMPThreadCount())
for (index_t i = 0; i < size; ++i) {
dst[i] += src[i];
}
} else {
for (index_t i = 0; i < size; ++i) {
dst[i] += src[i];
}
}
}
/*!
* \brief If numpy compatibility is turned off (default), the shapes passed in
* by users follow the legacy shape definition:
* 1. 0 ndim means the shape is completely unknown.
* 2. 0 dim size means the dim size is unknown.
* We need to convert those shapes to use the numpy shape definition:
* 1. 0 ndim means it's a scalar tensor.
* 2. -1 ndim means the shape is unknown.
* 3. 0 dim size means no elements in that dimension.
* 4. -1 dim size means the dimension's size is unknown.
* so that operator's infer shape function can work in backend.
* \param shape to be converted.
* Note: It is possible that the shape to be converted is already
* numpy compatible. For example, when a subgraph operator's infer
* shape function is called from the infer shape pass of the whole
* graph, its input/output shapes have been converted to numpy
* compatible shapes.
*/
inline void ConvertToNumpyShape(mxnet::TShape* shape) {
if (shape->ndim() == 0) { // legacy shape ndim = 0 means unknown
*shape = mxnet::TShape(); // unknown shape ndim = -1
} else {
for (int j = 0; j < shape->ndim(); ++j) {
if ((*shape)[j] == 0) { // legacy shape dim_size = 0 means unknown
(*shape)[j] = -1; // unknown dim size = -1
}
}
}
}
inline void ConvertToNumpyShape(mxnet::ShapeVector* shapes) {
for (size_t i = 0; i < shapes->size(); ++i) {
ConvertToNumpyShape(&(shapes->at(i)));
}
}
/*!
* \brief This is function is used to convert shapes returned by
* the infer shape functions/pass to the legacy shape definition.
*/
inline void ConvertToLegacyShape(mxnet::TShape* shape) {
if (!mxnet::ndim_is_known(*shape)) {
*shape = mxnet::TShape(0, -1);
} else {
for (int j = 0; j < shape->ndim(); ++j) {
if (!mxnet::dim_size_is_known(*shape, j)) {
(*shape)[j] = 0;
}
}
}
}
inline void ConvertToLegacyShape(mxnet::ShapeVector* shapes) {
for (size_t i = 0; i < shapes->size(); ++i) {
ConvertToLegacyShape(&(shapes->at(i)));
}
}
void ExecuteMonInputCallback(
const nnvm::IndexedGraph &idx, const std::vector<NDArray *> &state_arrays,
size_t nid, const std::function<void(const char *, const char *, void *)>
&monitor_callback);
void ExecuteMonOutputCallback(
const nnvm::IndexedGraph &idx, const std::vector<NDArray *> &state_arrays,
size_t nid, const std::function<void(const char *, const char *, void *)>
&monitor_callback);
/*!
* \brief This is function can return the output names of a NodeEntry.
*/
static inline std::string GetOutputName(const nnvm::NodeEntry& e) {
nnvm::Symbol sym;
sym.outputs.push_back(e);
return sym.ListOutputNames()[0];
}
inline mxnet::TShape CanonicalizeAxes(const mxnet::TShape& src) {
// convert negative axes to positive values
const int ndim = src.ndim();
mxnet::TShape axes = src;
for (int i = 0; i < ndim; ++i) {
if (axes[i] < 0) {
axes[i] += ndim;
}
CHECK(axes[i] >= 0 && axes[i] < ndim) << "axes[" << i << "]="
<< axes[i] << " exceeds the range ["
<< 0 << ", " << ndim << ")";
}
return axes;
}
inline bool is_float(const int dtype) {
return dtype == mshadow::kFloat32 || dtype == mshadow::kFloat64 || dtype == mshadow::kFloat16;
}
inline int get_more_precise_type(const int type1, const int type2) {
if (type1 == type2) return type1;
if (is_float(type1) && is_float(type2)) {
if (type1 == mshadow::kFloat64 || type2 == mshadow::kFloat64) {
return mshadow::kFloat64;
}
if (type1 == mshadow::kFloat32 || type2 == mshadow::kFloat32) {
return mshadow::kFloat32;
}
return mshadow::kFloat16;
} else if (is_float(type1) || is_float(type2)) {
return is_float(type1) ? type1 : type2;
}
if (type1 == mshadow::kInt64 || type2 == mshadow::kInt64) {
return mshadow::kInt64;
}
if (type1 == mshadow::kInt32 || type2 == mshadow::kInt32) {
return mshadow::kInt32;
}
CHECK(!((type1 == mshadow::kUint8 && type2 == mshadow::kInt8) ||
(type1 == mshadow::kInt8 && type2 == mshadow::kUint8)))
<< "1 is UInt8 and 1 is Int8 should not get here";
if (type1 == mshadow::kUint8 || type2 == mshadow::kUint8) {
return mshadow::kUint8;
}
return mshadow::kInt8;
}
inline int np_binary_out_infer_type(const int type1, const int type2) {
if ((type1 == mshadow::kUint8 && type2 == mshadow::kInt8) ||
(type1 == mshadow::kInt8 && type2 == mshadow::kUint8)) {
return mshadow::kInt32;
}
return get_more_precise_type(type1, type2);
}
} // namespace common
} // namespace mxnet
#endif // MXNET_COMMON_UTILS_H_
|
apply_mask_50.c | #include <stdint.h>
void main(uint8_t* im, int32_t* h, int32_t* w, _Bool* mask, uint8_t* color) {
int32_t x, y;
#pragma omp parallel for
for (y=0; y<h[0]; ++y) {
for (x=0; x<w[0]; ++x) {
if (mask[y*w[0] + x]) {
int32_t pos = 3 * (y*w[0] + x);
im[pos+0] = (im[pos+0]/2) + (color[0]/2);
im[pos+1] = (im[pos+1]/2) + (color[1]/2);
im[pos+2] = (im[pos+2]/2) + (color[2]/2);
}
}
}
} |
atomic.c |
// OpenMP Atomic Example
// Inclusions
#include <omp.h>
#include <stdio.h>
#include <stdlib.h>
// Main
int main( int argc, char** argv ) {
int *a = malloc( 25 * sizeof( int ) ); // Array of Values
int i = 0; // Loop Iterator
int n = 25; // Number of Iteratins
int localSum = 0; // Private Local Sum for Each Core
int totalSum = 0; // Shared Total Sum for All Cores
int thread = 0; // Thread Number
float start = 0.0; // Start Time
float end = 0.0; // End Time
float time = 0.0; // Elapsed Time
// Fill Array with Values 1 to 25
for( i = 0; i < n; i++ ) {
a[i] = i + 1;
}
start = omp_get_wtime( );
// Parallel Region
#pragma omp parallel shared( n, a, totalSum ) private( thread, localSum )
// Share Number of Iterations, Array, and the Total Sum
// Keep the Thread Number and Local Sum Private
{
localSum = 0; // Preset Local Sum to Zero
#pragma omp for // Parallelize the Next For
for( i = 0; i < n; i++ ) {
localSum += a[i]; // Accumulate Array Values into Local Sum
}
#pragma omp atomic // Perform This Operation Atomically
totalSum += localSum; // Accumulate Local Sum Values into Total Sum
}
end = omp_get_wtime( );
time = end - start;
printf( "Total sum at end is %d.\nTime: %0.9lf\n", totalSum, time );
free( a );
return 0;
}
// End atomic.c - EWG SDG
|
sequence2batch.h | #ifndef ANAKIN_SABER_FUNC_IMPL_X86_MATH_SEQUENCE_BATCH_H
#define ANAKIN_SABER_FUNC_IMPL_X86_MATH_SEQUENCE_BATCH_H
#include <algorithm>
#include <vector>
#include "saber/core/tensor.h"
#include "omp.h"
namespace anakin {
namespace saber {
namespace math {
template <DataType Dtype, typename LayOutType>
class CopyMatrixRowsFunctor {
public:
typedef Tensor<X86, Dtype, LayOutType> ioTensor;
typedef typename ioTensor::Dtype dtype;
// If is_src_index is true,
// copy the indexed rows of input src to the output dst.
// If is_src_index is false,
// copy the input src to the indexed rows of output dst.
// The indexed rows are based on the input index.
void operator()(ioTensor* src,
std::vector<int> index_lod, ioTensor* dst,
bool is_src_index, int fragment_num);
};
template <DataType Dtype, typename LayOutType>
class Seq2BatchFunctor {
// Calculate the length of each sequence and
// sort sequence index by the length.
// example: sequences = {s0, s1, s2}
// s0: 0 0 0 0, s1: 1 1 1 1 1, s2: 2 2 2
// seq_info[3] = {(4, 5, 1), (0, 4, 0), (9, 3, 2)}
//
struct SeqInfo {
SeqInfo(int start, int length, int seq_idx)
: start(start), length(length), seq_idx(seq_idx) {}
int start;
int length;
int seq_idx;
};
public:
typedef Tensor<X86, Dtype, LayOutType> ioTensor;
void operator()(ioTensor* seq,
ioTensor* batch, std::vector<std::vector<int>>& seq_to_batch_meta, bool is_cal_batch_lod,
bool is_reverse = false, int fragment_num = 1) const {
if (!is_cal_batch_lod) {
if (seq_to_batch_meta.size() < 2) {
LOG(ERROR) << "The size of seq_to_batch_meta should inlcude at least 2-level sequence information.";
exit(-1);
}
if (seq_to_batch_meta[1].size() != static_cast<int>(seq->num())) {
LOG(ERROR) << "The seq_to_batch information should be consistent with the dims.";
exit(-1);
}
CopyMatrixRowsFunctor<Dtype, LayOutType> to_batch;
to_batch(seq, seq_to_batch_meta[1], batch, true, fragment_num);
return;
}
if (seq_to_batch_meta.size() != 1) {
LOG(ERROR) << "Only support one level sequence now.";
exit(-1);
}
auto seq_meta = seq_to_batch_meta[0];
std::vector<SeqInfo> seq_info;
for (int seq_id = 0; seq_id < seq_meta.size() - 1; ++seq_id) {
int length = seq_meta[seq_id + 1] - seq_meta[seq_id];
seq_info.emplace_back(seq_meta[seq_id], length, seq_id);
//LOG(INFO) << "seq_meta[seq_id]:" << seq_meta[seq_id] << " length:" << length << " seq_id:" <<seq_id;
}
std::sort(seq_info.begin(), seq_info.end(),
[](SeqInfo a, SeqInfo b) {
return a.length > b.length;
});
// Calculate the start position of each batch.
// example: sequences = {s0, s1, s2}
// s0: 0 0 0 0, s1: 1 1 1 1 1, s2: 2 2 2
// num_batch = 5,
// batchIndex = {b0, b1, b2, b3, b4}
// b0: 1 0 2, b1: 1 0 2, b2: 1 0 2, b3: 1 0, b4: 1
// batch_start_positions[6] = {0, 3, 6, 9, 11, 12}
// batch_start_positions[0] = len(b0)
// batch_start_positions[1] = len(b0) + len(b1)
// batch_start_positions[2] = len(b0) + len(b1) + len(b2)
// ...
// seq2batch_idx[12] = {4, 0, 9,
// 5, 1, 10,
// 6, 2, 11,
// 7, 3,
// 8}
// seq_order = {1, 0, 2}, the sort order.
// where 1 is the second sequence,
// 0 is the first sequence,
// 2 is the third sequence.
// The num_batch represents batch size after rearranging the
// input LodTensor. It is also the maximum length of input sequence.
std::vector<std::vector<int>> batch_seq_meta;
batch_seq_meta.emplace_back(std::vector<int> {0});
batch_seq_meta.emplace_back(std::vector<int> {0});
batch_seq_meta.emplace_back(std::vector<int> {0});
// batch_seq_meta[0] is the start positions for batch LoDTensor
int num_batch = seq_info[0].length;
batch_seq_meta[0].resize(static_cast<int>(num_batch + 1));
// batch_seq_meta[1] is the raw index in the input LoDTensor
batch_seq_meta[1].resize(static_cast<int>(seq->num()));
// batch_seq_meta[2] is the sort order for the input LoDTensor.
batch_seq_meta[2].resize(seq_info.size());
int* batch_starts = batch_seq_meta[0].data();
int* seq2batch_idx = batch_seq_meta[1].data();
batch_starts[0] = 0;
for (int n = 0; n < num_batch; n++) {
auto batch_id = static_cast<int>(batch_starts[n]);
for (int i = 0; i < seq_info.size(); ++i) {
int seq_len = seq_info[i].length;
int start = seq_info[i].start;
if (n < seq_len) {
seq2batch_idx[batch_id] =
is_reverse ? start + seq_len - 1 - n : start + n;
batch_id++;
} else {
break;
}
}
batch_starts[n + 1] = static_cast<int>(batch_id);
}
int* seq_order = batch_seq_meta[2].data();
for (int i = 0; i < seq_info.size(); ++i) {
seq_order[i] = seq_info[i].seq_idx;
}
seq_to_batch_meta = batch_seq_meta;
CopyMatrixRowsFunctor<Dtype, LayOutType> to_batch;
to_batch(seq, batch_seq_meta[1], batch, true, fragment_num);
}
};
template <DataType Dtype, typename LayOutType>
class Batch2SeqFunctor {
public:
typedef Tensor<X86, Dtype, LayOutType> ioTensor;
void operator()(ioTensor* batch,
ioTensor* seq, std::vector<std::vector<int>>& seq_to_batch_meta, int fragment_num = 1) const {
if (seq_to_batch_meta.size() < 2) {
LOG(ERROR) << "The size of seq_to_batch_meta should inlcude at least 2-level sequence information.";
exit(-1);
}
if (seq_to_batch_meta[1].size() != static_cast<int>(seq->num())) {
LOG(ERROR) << "The seq_to_batch information should be consistent with the dims.";
exit(-1);
}
CopyMatrixRowsFunctor<Dtype, LayOutType> to_seq;
to_seq(batch, seq_to_batch_meta[1], seq, false, fragment_num);
}
};
template <DataType Dtype, typename LayOutType>
class ReorderInitState {
public:
typedef Tensor<X86, Dtype, LayOutType> ioTensor;
void operator()(ioTensor* src, std::vector<int> ind_lod, ioTensor* dst, bool indexed_src,
int fragment_num = 1) {
math::CopyMatrixRowsFunctor<Dtype, LayOutType> row_shuffle;
row_shuffle(src, ind_lod, dst, indexed_src, fragment_num);
}
};
/*
* This class can used to modify the matrix structure of sequence matrix into
* batch structure.
* sequence matrix: [C1_s ... Cn_s | ...... | C1_t ... Cn_t]
* batch matrix: [C1_s ... C1_t | ...... | Cn_s ... Cn_t]
* Cn_s is the state for sequence s at time n.
*
* Exampel: sequence matrix = {{0, 0, 0, 0}, {1, 1, 1, 1, 1}, {2, 2, 2}}
* s0: 0 0 0 0, s1: 1 1 1 1 1, s2: 2 2 2
* batch matrix = {{1, 0, 2}, {1, 0, 2}, {1, 0, 2}, {1, 0}, {1}}
* b0: 1 0 2, b1: 1 0 2, b2: 1 0 2, b3: 1 0, b4: 1
*
* Use:
* Input: seqMatrix, seqStarts(Sequence Start Positions)
* Output: batchMatrix
* 1. SequenceToBatch seq2batch;
* 2. seq2batch.resizeOrCreateBatch(seqStarts); // calculate seq2BatchIdx
* 3. seq2batch.copy(seqMatrix, batchMatrix, true); // copy seq to batch matrix
*
*/
class SequenceToBatch {
public:
SequenceToBatch() {};
template <typename Dtype>
void seq_2_bat(const Dtype* input, Dtype* output, int word_size) {
int word_sum = seq2BatchIdx_.size();
#pragma omp parallel for if(thread_num > 1)
for (int old_id = 0; old_id < word_sum; ++old_id) {
int word_start = old_id * word_size;
int maped_id = seq2BatchIdx_[old_id];
int maped_start = maped_id * word_size;
for (int word_offset = 0; word_offset < word_size; ++word_offset) {
output[word_start + word_offset] = input[maped_start + word_offset];
}
}
}
template <typename Dtype>
void hidden_2_bat(const Dtype* input, Dtype* output, int hidden_size) {
int batch_size = seqStartAndLength_.size();
for (int old_id = 0; old_id < batch_size; ++old_id) {
int word_start = old_id * hidden_size;
int maped_id = seqStartAndLength_[old_id].seqIdx_;
int maped_start = maped_id * hidden_size;
for (int word_offset = 0; word_offset < hidden_size; ++word_offset) {
output[word_start + word_offset] = input[maped_start + word_offset];
}
}
}
template <typename Dtype>
void bat_2_seq(const Dtype* input, Dtype* output, int hidden_size) {
int word_sum = seq2BatchIdx_.size();
#pragma omp parallel for if(thread_num > 1)
for (int old_id = 0; old_id < word_sum; old_id++) {
int word_start = old_id * hidden_size;
int maped_id = seq2BatchIdx_[old_id];
int maped_start = maped_id * hidden_size;
for (int word_offset = 0; word_offset < hidden_size; word_offset++) {
output[maped_start + word_offset] = input[word_start + word_offset];
}
}
}
template <typename Dtype>
void bat_2_seq(const Dtype* input, Dtype* output, int hidden_size, int aligned_hidden_size) {
int word_sum = seq2BatchIdx_.size();
#pragma omp parallel for if(thread_num > 1)
for (int old_id = 0; old_id < word_sum; old_id++) {
int word_start = old_id * aligned_hidden_size;
int maped_id = seq2BatchIdx_[old_id];
int maped_start = maped_id * hidden_size;
for (int word_offset = 0; word_offset < hidden_size; word_offset++) {
output[maped_start + word_offset] = input[word_start + word_offset];
}
}
}
void get_batch_offset(std::vector<int>& bat_offset) {
for (size_t i = 0; i < batchStartPositions_.size(); i++) {
bat_offset[i] = batchStartPositions_[i];
}
}
size_t get_batch_num() const {
return numBatch_;
}
void create_batch(int batchSize, size_t numSequences, std::vector<int>& seqStarts,
bool reversed) {
CHECK_EQ(seqStarts[numSequences], batchSize);
seq2BatchIdx_.resize(batchSize);
/*
* calculate the length of each sequence & sort sequence index by the length
* Exampel: Sequences = {s0, s1, s2}
* s0: 0 0 0 0, s1: 1 1 1 1 1, s2: 2 2 2
* seqStartAndLength_[3] = {(4, 5, 1), (0, 4, 0), (9, 3, 2)}
*/
for (size_t seqId = 0; seqId < numSequences; ++seqId) {
int length = seqStarts[seqId + 1] - seqStarts[seqId];
seqStartAndLength_.emplace_back(seqStarts[seqId], length, seqId);
}
std::sort(seqStartAndLength_.begin(), seqStartAndLength_.end(),
[](SeqStartAndLength a, SeqStartAndLength b) {
return a.length_ > b.length_;
});
/*
* calculate the start position of each batch
* (numBatch equal the maxLength of sequences)
* Exampel: Sequences = {s0, s1, s2}
* s0: 0 0 0 0, s1: 1 1 1 1 1, s2: 2 2 2
* numBatch = 5,
* batchIndex = {b0, b1, b2, b3, b4}
* b0: 1 0 2, b1: 1 0 2, b2: 1 0 2, b3: 1 0, b4: 1
* batchStartPositions[6] = {0, 3, 6, 9, 11, 12}
*/
numBatch_ = (size_t)seqStartAndLength_[0].length_;
batchStartPositions_.resize(numBatch_ + 1);
batchStartPositions_[0] = 0;
for (size_t n = 0; n < numBatch_; n++) {
int batchId = batchStartPositions_[n];
for (size_t i = 0; i < seqStartAndLength_.size(); ++i) {
size_t seqLength = seqStartAndLength_[i].length_;
int start = seqStartAndLength_[i].start_;
if (n < seqLength) {
if (!reversed) {
seq2BatchIdx_[batchId] = start + n;
} else {
seq2BatchIdx_[batchId] = start + seqLength - 1 - n;
}
batchId++;
} else {
break;
}
}
batchStartPositions_[n + 1] = batchId;
}
}
protected:
struct SeqStartAndLength {
int start_;
int length_;
int seqIdx_;
SeqStartAndLength(int start, int length, int seqIdx)
: start_(start), length_(length), seqIdx_(seqIdx) {}
};
std::vector<SeqStartAndLength> seqStartAndLength_;
std::vector<int> batchStartPositions_;
std::vector<int> seq2BatchIdx_;
size_t numBatch_;
int thread_num = omp_get_max_threads();
};
} // namespace math
} // namespace saber
} // namespace anakin
#endif
|
GB_unop__identity_uint8_uint32.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_uint8_uint32
// op(A') function: GB_unop_tran__identity_uint8_uint32
// C type: uint8_t
// A type: uint32_t
// cast: uint8_t cij = (uint8_t) aij
// unaryop: cij = aij
#define GB_ATYPE \
uint32_t
#define GB_CTYPE \
uint8_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
uint32_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) \
uint8_t z = (uint8_t) aij ;
// cij = op (aij)
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
uint32_t aij = Ax [pA] ; \
/* Cx [pC] = op (cast (aij)) */ \
uint8_t z = (uint8_t) aij ; \
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_UINT8 || GxB_NO_UINT32)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop_apply__identity_uint8_uint32
(
uint8_t *Cx, // Cx and Ax may be aliased
const uint32_t *Ax,
const int8_t *GB_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)
{
#if ( GB_OP_IS_IDENTITY_WITH_NO_TYPECAST )
GB_memcpy (Cx, Ax, anz * sizeof (uint32_t), nthreads) ;
#else
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
uint32_t aij = Ax [p] ;
uint8_t z = (uint8_t) aij ;
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 ;
uint32_t aij = Ax [p] ;
uint8_t z = (uint8_t) 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_uint8_uint32
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *GB_RESTRICT *Workspaces,
const int64_t *GB_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
|
GB_unop__identity_bool_uint64.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__identity_bool_uint64)
// op(A') function: GB (_unop_tran__identity_bool_uint64)
// C type: bool
// A type: uint64_t
// cast: bool cij = (bool) aij
// unaryop: cij = aij
#define GB_ATYPE \
uint64_t
#define GB_CTYPE \
bool
// 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 ;
// casting
#define GB_CAST(z, aij) \
bool z = (bool) aij ;
// cij = op (aij)
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
uint64_t aij = Ax [pA] ; \
/* Cx [pC] = op (cast (aij)) */ \
bool z = (bool) aij ; \
Cx [pC] = z ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_IDENTITY || GxB_NO_BOOL || GxB_NO_UINT64)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_apply__identity_bool_uint64)
(
bool *Cx, // Cx and Ax may be aliased
const uint64_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++)
{
uint64_t aij = Ax [p] ;
bool z = (bool) 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 ;
uint64_t aij = Ax [p] ;
bool z = (bool) 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_bool_uint64)
(
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
|
ast-dump-openmp-target-parallel.c | // RUN: %clang_cc1 -triple x86_64-unknown-unknown -fopenmp -ast-dump %s | FileCheck --match-full-lines -implicit-check-not=openmp_structured_block %s
void test() {
#pragma omp target parallel
;
}
// CHECK: TranslationUnitDecl {{.*}} <<invalid sloc>> <invalid sloc>
// CHECK: `-FunctionDecl {{.*}} <{{.*}}ast-dump-openmp-target-parallel.c:3:1, line:6:1> line:3:6 test 'void ()'
// CHECK-NEXT: `-CompoundStmt {{.*}} <col:13, line:6:1>
// CHECK-NEXT: `-OMPTargetParallelDirective {{.*}} <line:4:1, col:28>
// CHECK-NEXT: `-CapturedStmt {{.*}} <line:5:3>
// CHECK-NEXT: `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: |-CapturedStmt {{.*}} <col:3>
// CHECK-NEXT: | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | |-CapturedStmt {{.*}} <col:3>
// CHECK-NEXT: | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | |-NullStmt {{.*}} <col:3>
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <line:4:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | `-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-target-parallel.c:4:1) *const restrict'
// CHECK-NEXT: | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-target-parallel.c:4:1) *const restrict'
// CHECK-NEXT: | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | `-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | |-NullStmt {{.*}} <line:5:3>
// CHECK-NEXT: | |-ImplicitParamDecl {{.*}} <line:4:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | `-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-target-parallel.c:4:1) *const restrict'
// CHECK-NEXT: |-AlwaysInlineAttr {{.*}} <<invalid sloc>> Implicit __forceinline
// CHECK-NEXT: |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .global_tid. 'const int'
// CHECK-NEXT: |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .part_id. 'const int *const restrict'
// CHECK-NEXT: |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .privates. 'void *const restrict'
// CHECK-NEXT: |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .copy_fn. 'void (*const restrict)(void *const restrict, ...)'
// CHECK-NEXT: |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .task_t. 'void *const'
// CHECK-NEXT: |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-target-parallel.c:4:1) *const restrict'
// CHECK-NEXT: |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | `-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: |-CapturedStmt {{.*}} <line:5:3>
// CHECK-NEXT: | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | |-NullStmt {{.*}} <col:3>
// CHECK-NEXT: | |-ImplicitParamDecl {{.*}} <line:4:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | `-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-target-parallel.c:4:1) *const restrict'
// CHECK-NEXT: |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-target-parallel.c:4:1) *const restrict'
// CHECK-NEXT: |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | `-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: |-NullStmt {{.*}} <line:5:3>
// CHECK-NEXT: |-ImplicitParamDecl {{.*}} <line:4:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: `-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (unnamed at {{.*}}ast-dump-openmp-target-parallel.c:4:1) *const restrict'
|
checkerAI.h | //checkerAI.h
//Author: Aven Bross
//Date: 3/23/2014
//Functions that put together the neural net and checkerboard functions
#ifndef CHECKERAI_H
#define CHECKERAI_H
#include "board.h"
#include "neuralnet.h" //C++11 neural net
#include <algorithm>
using std::max;
using std::min;
using std::sort;
#include <string>
using std::string;
#include <sstream>
#include <fstream>
#include <omp.h>
const int SEARCH_PLY = 8;
//Recursive alpha beta search function
double alphabeta(const CheckerBoard & node, NeuralNet & nn, int depth, double alpha, double beta, bool maximizingPlayer, bool redMax){
if(depth <= 0 || node.isDone())
return *(nn.evaluate(node.getDoubleArray(nn.getKingValue(), redMax)));
if(maximizingPlayer){
vector<CheckerBoard> children = posMoves(node, redMax);
if(children.size()==0) alpha = max(alpha, alphabeta(node, nn, depth - 1, alpha, beta, false, redMax));
for(int i=0; i<children.size(); i++){
alpha = max(alpha, alphabeta(children[i], nn, depth - 1, alpha, beta, false, redMax));
if(beta <= alpha)
break;
}
return alpha;
}
else{
vector<CheckerBoard> children = posMoves(node, !redMax);
if(children.size()==0) beta = min(beta, alphabeta(node, nn, depth - 1, alpha, beta, true, redMax));
for(int i=0; i<children.size(); i++){
beta = min(beta, alphabeta(children[i], nn, depth - 1, alpha, beta, true, redMax));
if(beta <= alpha)
break;
}
return beta;
}
}
//Returns a best move chosen via Alpha Beta searching
CheckerBoard getMove(const CheckerBoard & board, NeuralNet & nn , bool isRed){
vector<CheckerBoard> moves = posMoves(board, isRed);
if(moves.size()==0) return board;
if(moves.size()==1) return moves[0];
int bestIndex = 0;
double bestValue = alphabeta(moves[0], nn, SEARCH_PLY-1, -100, 100, false, isRed);
for(int i=1; i<moves.size(); i++){
double value = alphabeta(moves[i], nn, SEARCH_PLY-1, -100, 100, false, isRed);
if(value>bestValue){
bestIndex = i;
bestValue = value;
}
}
return moves[bestIndex];
}
//Play a game between the given neural nets
int playGame(NeuralNet & n1, NeuralNet & n2){
CheckerBoard cb;
int drawCount=0;
int pPieces=cb.numPieces();
bool redTurn = false;
while(!cb.isDone()){
redTurn = !redTurn;
if(redTurn) cb=getMove(cb, n1, true);
else cb=getMove(cb, n2, false);
if(cb.numPieces()==pPieces) drawCount++;
else{
drawCount=0;
pPieces=cb.numPieces();
}
if(drawCount>10) return 0;
}
return redTurn ? 1 : -1;
}
//Hold a tournament for the nets and sorts them based on tournament score
void sortNets(vector <NeuralNet> & gen){
//Play and score the tournament
int s = gen.size();
//Tournament loop done in parrallel with openmp
#pragma omp parallel for
for(int c=0; c<s*s; c++){
int i = c/s;
int j = c%s;
if(i!=j){
int res = playGame(gen[i], gen[j]);
gen[i].addScore(res);
gen[j].addScore(res*-1);
//std::cout<<"Board " << i << " playing Board " << j << " result: " << res << "\n";
}
}
//A different way of doing it, in testing the first was a bit faster
//but we can see how things go on the supercomputer
/*#pragma omp parallel for
for(int i=0; i<s; i++){
for(int j=0; j<s; j++){
if(i!=j){
int res = playGame(gen[i], gen[j]);
gen[i].addScore(res);
gen[j].addScore(res*-1);
}
}
}*/
//Sort the nets by tournament result
sort(gen.begin(), gen.end());
}
//Goes to the next generation (assumes prevGen has been sorted)
void advanceGeneration(vector<NeuralNet> & prevGen, int gen){
std::ofstream ss;
ss.open("geniology.txt", std::ios_base::out | std::ios_base::app);
int resources = 500;
double divisor = prevGen.size();
for(int i=0; i<prevGen.size(); i++){
prevGen[i].age();
}
int a[4] = {32, 40, 10, 1};
for(int i=0; i<5; i++){
NeuralNet n(a, 4);
prevGen.push_back(n);
}
for(int i=0; i<prevGen.size(); i++){
ss<<i<<" name: "<<prevGen[i]._name<<"\t score: "<<(prevGen[i].getScore()+divisor)/(2*divisor)<<"\tage: "<<prevGen[i].getAge()<<"\tancest: "<<prevGen[i].getAncestors()<<"\tres = "<<resources;
if(prevGen[i].getAge()==0) { ss<<" new\n"; continue; }
if(resources<1) { ss<<" removed\n"; prevGen.erase(prevGen.begin()+i); i-=1; }
else{
double score = prevGen[i].getScore()+divisor;
score=score/(2*divisor);
score*=100;
ss<<" had "<<(score-50)+1<<" children\n";
resources-=score;
if(resources<0 ) score+=resources;
for(int j=0; j<=(score/50); j++){
prevGen.push_back(prevGen[i]);
prevGen[prevGen.size()-1].mutate();
}
}
}
ss<<"Gen: "<<gen<<" Size: "<<prevGen.size()<<"\n\n";
for(int i=0; i<prevGen.size(); i++){
prevGen[i].resetScore();
}
ss.close();
/*//Replace bottom half of nets with mutated versions of top half
for(int i=8; i<15; i++){
prevGen[i]=prevGen[i-8];
prevGen[i-8].age();
prevGen[i].mutate();
}
int a[4] = {32, 40, 10, 1};
for(int i=16; i<20; i++){
NeuralNet n(a, 4);
prevGen[i]=n;
}
//Reset tournament scores for all neural nets
for(int i=0; i<prevGen.size(); i++){
prevGen[i].resetScore();
}*/
}
//Saves a generation to file
void saveGeneration(vector<NeuralNet> & gen, const string & prefix){
std::stringstream ss;
for(int i=0; i<gen.size(); i++){
ss.str(prefix);
ss.seekp(0, std::ios_base::end);
ss<<"net_"<<i<<".bin";
gen[i].save(ss.str());
}
}
vector<NeuralNet> loadGeneration(const string & prefix, int size){
vector<NeuralNet> gen;
std::stringstream ss;
for(int i=0; i<size; i++){
ss.str(prefix);
ss.seekp(0, std::ios_base::end);
ss<<"net_"<<i<<".bin";
NeuralNet nn(ss.str());
gen.push_back(nn);
}
return gen;
}
#endif
|
resample.c | /*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% RRRR EEEEE SSSSS AAA M M PPPP L EEEEE %
% R R E SS A A MM MM P P L E %
% RRRR EEE SSS AAAAA M M M PPPP L EEE %
% R R E SS A A M M P L E %
% R R EEEEE SSSSS A A M M P LLLLL EEEEE %
% %
% %
% MagickCore Pixel Resampling Methods %
% %
% Software Design %
% John Cristy %
% Anthony Thyssen %
% August 2007 %
% %
% %
% Copyright 1999-2012 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 %
% %
% http://www.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 "magick/studio.h"
#include "magick/artifact.h"
#include "magick/color-private.h"
#include "magick/cache.h"
#include "magick/draw.h"
#include "magick/exception-private.h"
#include "magick/gem.h"
#include "magick/image.h"
#include "magick/image-private.h"
#include "magick/log.h"
#include "magick/magick.h"
#include "magick/memory_.h"
#include "magick/pixel.h"
#include "magick/pixel-private.h"
#include "magick/quantum.h"
#include "magick/random_.h"
#include "magick/resample.h"
#include "magick/resize.h"
#include "magick/resize-private.h"
#include "magick/transform.h"
#include "magick/signature-private.h"
#include "magick/utility.h"
/*
EWA Resampling Options
*/
/* select ONE resampling method */
#define EWA 1 /* Normal EWA handling - raw or clamped */
/* if 0 then use "High Quality EWA" */
#define EWA_CLAMP 1 /* EWA Clamping from Nicolas Robidoux */
#define FILTER_LUT 1 /* Use a LUT rather then direct filter calls */
/* output debugging information */
#define DEBUG_ELLIPSE 0 /* output ellipse info for debug */
#define DEBUG_HIT_MISS 0 /* output hit/miss pixels (as gnuplot commands) */
#define DEBUG_NO_PIXEL_HIT 0 /* Make pixels that fail to hit anything - RED */
#if ! FILTER_DIRECT
#define WLUT_WIDTH 1024 /* size of the filter cache */
#endif
/*
Typedef declarations.
*/
struct _ResampleFilter
{
CacheView
*view;
Image
*image;
ExceptionInfo
*exception;
MagickBooleanType
debug;
/* Information about image being resampled */
ssize_t
image_area;
InterpolatePixelMethod
interpolate;
VirtualPixelMethod
virtual_pixel;
FilterTypes
filter;
/* processing settings needed */
MagickBooleanType
limit_reached,
do_interpolate,
average_defined;
MagickPixelPacket
average_pixel;
/* current ellipitical area being resampled around center point */
double
A, B, C,
Vlimit, Ulimit, Uwidth, slope;
#if FILTER_LUT
/* LUT of weights for filtered average in elliptical area */
double
filter_lut[WLUT_WIDTH];
#else
/* Use a Direct call to the filter functions */
ResizeFilter
*filter_def;
double
F;
#endif
/* the practical working support of the filter */
double
support;
size_t
signature;
};
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A c q u i r e R e s a m p l e I n f o %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AcquireResampleFilter() initializes the information resample needs do to a
% scaled lookup of a color from an image, using area sampling.
%
% The algorithm is based on a Elliptical Weighted Average, where the pixels
% found in a large elliptical area is averaged together according to a
% weighting (filter) function. For more details see "Fundamentals of Texture
% Mapping and Image Warping" a master's thesis by Paul.S.Heckbert, June 17,
% 1989. Available for free from, http://www.cs.cmu.edu/~ph/
%
% As EWA resampling (or any sort of resampling) can require a lot of
% calculations to produce a distorted scaling of the source image for each
% output pixel, the ResampleFilter structure generated holds that information
% between individual image resampling.
%
% This function will make the appropriate AcquireCacheView() calls
% to view the image, calling functions do not need to open a cache view.
%
% Usage Example...
% resample_filter=AcquireResampleFilter(image,exception);
% SetResampleFilter(resample_filter, GaussianFilter, 1.0);
% for (y=0; y < (ssize_t) image->rows; y++) {
% for (x=0; x < (ssize_t) image->columns; x++) {
% u= ....; v= ....;
% ScaleResampleFilter(resample_filter, ... scaling vectors ...);
% (void) ResamplePixelColor(resample_filter,u,v,&pixel);
% ... assign resampled pixel value ...
% }
% }
% DestroyResampleFilter(resample_filter);
%
% The format of the AcquireResampleFilter method is:
%
% ResampleFilter *AcquireResampleFilter(const 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 ResampleFilter *AcquireResampleFilter(const Image *image,
ExceptionInfo *exception)
{
register ResampleFilter
*resample_filter;
assert(image != (Image *) NULL);
assert(image->signature == MagickSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickSignature);
resample_filter=(ResampleFilter *) AcquireMagickMemory(
sizeof(*resample_filter));
if (resample_filter == (ResampleFilter *) NULL)
ThrowFatalException(ResourceLimitFatalError,"MemoryAllocationFailed");
(void) ResetMagickMemory(resample_filter,0,sizeof(*resample_filter));
resample_filter->exception=exception;
resample_filter->image=ReferenceImage((Image *) image);
resample_filter->view=AcquireCacheView(resample_filter->image);
resample_filter->debug=IsEventLogging();
resample_filter->signature=MagickSignature;
resample_filter->image_area=(ssize_t) (image->columns*image->rows);
resample_filter->average_defined = MagickFalse;
/* initialise the resampling filter settings */
SetResampleFilter(resample_filter, image->filter, image->blur);
(void) SetResampleFilterInterpolateMethod(resample_filter,
image->interpolate);
(void) SetResampleFilterVirtualPixelMethod(resample_filter,
GetImageVirtualPixelMethod(image));
return(resample_filter);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% D e s t r o y R e s a m p l e I n f o %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% DestroyResampleFilter() finalizes and cleans up the resampling
% resample_filter as returned by AcquireResampleFilter(), freeing any memory
% or other information as needed.
%
% The format of the DestroyResampleFilter method is:
%
% ResampleFilter *DestroyResampleFilter(ResampleFilter *resample_filter)
%
% A description of each parameter follows:
%
% o resample_filter: resampling information structure
%
*/
MagickExport ResampleFilter *DestroyResampleFilter(
ResampleFilter *resample_filter)
{
assert(resample_filter != (ResampleFilter *) NULL);
assert(resample_filter->signature == MagickSignature);
assert(resample_filter->image != (Image *) NULL);
if (resample_filter->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",
resample_filter->image->filename);
resample_filter->view=DestroyCacheView(resample_filter->view);
resample_filter->image=DestroyImage(resample_filter->image);
#if ! FILTER_LUT
resample_filter->filter_def=DestroyResizeFilter(resample_filter->filter_def);
#endif
resample_filter->signature=(~MagickSignature);
resample_filter=(ResampleFilter *) RelinquishMagickMemory(resample_filter);
return(resample_filter);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% R e s a m p l e P i x e l C o l o r %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ResamplePixelColor() samples the pixel values surrounding the location
% given using an elliptical weighted average, at the scale previously
% calculated, and in the most efficent manner possible for the
% VirtualPixelMethod setting.
%
% The format of the ResamplePixelColor method is:
%
% MagickBooleanType ResamplePixelColor(ResampleFilter *resample_filter,
% const double u0,const double v0,MagickPixelPacket *pixel)
%
% A description of each parameter follows:
%
% o resample_filter: the resample filter.
%
% o u0,v0: A double representing the center of the area to resample,
% The distortion transformed transformed x,y coordinate.
%
% o pixel: the resampled pixel is returned here.
%
*/
MagickExport MagickBooleanType ResamplePixelColor(
ResampleFilter *resample_filter,const double u0,const double v0,
MagickPixelPacket *pixel)
{
MagickBooleanType
status;
ssize_t u,v, v1, v2, uw, hit;
double u1;
double U,V,Q,DQ,DDQ;
double divisor_c,divisor_m;
register double weight;
register const PixelPacket *pixels;
register const IndexPacket *indexes;
assert(resample_filter != (ResampleFilter *) NULL);
assert(resample_filter->signature == MagickSignature);
status=MagickTrue;
/* GetMagickPixelPacket(resample_filter->image,pixel); */
if ( resample_filter->do_interpolate ) {
status=InterpolateMagickPixelPacket(resample_filter->image,
resample_filter->view,resample_filter->interpolate,u0,v0,pixel,
resample_filter->exception);
return(status);
}
#if DEBUG_ELLIPSE
(void) FormatLocaleFile(stderr, "u0=%lf; v0=%lf;\n", u0, v0);
#endif
/*
Does resample area Miss the image?
And is that area a simple solid color - then return that color
*/
hit = 0;
switch ( resample_filter->virtual_pixel ) {
case BackgroundVirtualPixelMethod:
case ConstantVirtualPixelMethod:
case TransparentVirtualPixelMethod:
case BlackVirtualPixelMethod:
case GrayVirtualPixelMethod:
case WhiteVirtualPixelMethod:
case MaskVirtualPixelMethod:
if ( resample_filter->limit_reached
|| u0 + resample_filter->Ulimit < 0.0
|| u0 - resample_filter->Ulimit > (double) resample_filter->image->columns
|| v0 + resample_filter->Vlimit < 0.0
|| v0 - resample_filter->Vlimit > (double) resample_filter->image->rows
)
hit++;
break;
case UndefinedVirtualPixelMethod:
case EdgeVirtualPixelMethod:
if ( ( u0 + resample_filter->Ulimit < 0.0 && v0 + resample_filter->Vlimit < 0.0 )
|| ( u0 + resample_filter->Ulimit < 0.0
&& v0 - resample_filter->Vlimit > (double) resample_filter->image->rows )
|| ( u0 - resample_filter->Ulimit > (double) resample_filter->image->columns
&& v0 + resample_filter->Vlimit < 0.0 )
|| ( u0 - resample_filter->Ulimit > (double) resample_filter->image->columns
&& v0 - resample_filter->Vlimit > (double) resample_filter->image->rows )
)
hit++;
break;
case HorizontalTileVirtualPixelMethod:
if ( v0 + resample_filter->Vlimit < 0.0
|| v0 - resample_filter->Vlimit > (double) resample_filter->image->rows
)
hit++; /* outside the horizontally tiled images. */
break;
case VerticalTileVirtualPixelMethod:
if ( u0 + resample_filter->Ulimit < 0.0
|| u0 - resample_filter->Ulimit > (double) resample_filter->image->columns
)
hit++; /* outside the vertically tiled images. */
break;
case DitherVirtualPixelMethod:
if ( ( u0 + resample_filter->Ulimit < -32.0 && v0 + resample_filter->Vlimit < -32.0 )
|| ( u0 + resample_filter->Ulimit < -32.0
&& v0 - resample_filter->Vlimit > (double) resample_filter->image->rows+32.0 )
|| ( u0 - resample_filter->Ulimit > (double) resample_filter->image->columns+32.0
&& v0 + resample_filter->Vlimit < -32.0 )
|| ( u0 - resample_filter->Ulimit > (double) resample_filter->image->columns+32.0
&& v0 - resample_filter->Vlimit > (double) resample_filter->image->rows+32.0 )
)
hit++;
break;
case TileVirtualPixelMethod:
case MirrorVirtualPixelMethod:
case RandomVirtualPixelMethod:
case HorizontalTileEdgeVirtualPixelMethod:
case VerticalTileEdgeVirtualPixelMethod:
case CheckerTileVirtualPixelMethod:
/* resampling of area is always needed - no VP limits */
break;
}
if ( hit ) {
/* whole area is a solid color -- just return that color */
status=InterpolateMagickPixelPacket(resample_filter->image,
resample_filter->view,IntegerInterpolatePixel,u0,v0,pixel,
resample_filter->exception);
return(status);
}
/*
Scaling limits reached, return an 'averaged' result.
*/
if ( resample_filter->limit_reached ) {
switch ( resample_filter->virtual_pixel ) {
/* This is always handled by the above, so no need.
case BackgroundVirtualPixelMethod:
case ConstantVirtualPixelMethod:
case TransparentVirtualPixelMethod:
case GrayVirtualPixelMethod,
case WhiteVirtualPixelMethod
case MaskVirtualPixelMethod:
*/
case UndefinedVirtualPixelMethod:
case EdgeVirtualPixelMethod:
case DitherVirtualPixelMethod:
case HorizontalTileEdgeVirtualPixelMethod:
case VerticalTileEdgeVirtualPixelMethod:
/* We need an average edge pixel, from the correct edge!
How should I calculate an average edge color?
Just returning an averaged neighbourhood,
works well in general, but falls down for TileEdge methods.
This needs to be done properly!!!!!!
*/
status=InterpolateMagickPixelPacket(resample_filter->image,
resample_filter->view,AverageInterpolatePixel,u0,v0,pixel,
resample_filter->exception);
break;
case HorizontalTileVirtualPixelMethod:
case VerticalTileVirtualPixelMethod:
/* just return the background pixel - Is there more direct way? */
status=InterpolateMagickPixelPacket(resample_filter->image,
resample_filter->view,IntegerInterpolatePixel,-1.0,-1.0,pixel,
resample_filter->exception);
break;
case TileVirtualPixelMethod:
case MirrorVirtualPixelMethod:
case RandomVirtualPixelMethod:
case CheckerTileVirtualPixelMethod:
default:
/* generate a average color of the WHOLE image */
if ( resample_filter->average_defined == MagickFalse ) {
Image
*average_image;
CacheView
*average_view;
GetMagickPixelPacket(resample_filter->image,(MagickPixelPacket *)
&resample_filter->average_pixel);
resample_filter->average_defined=MagickTrue;
/* Try to get an averaged pixel color of whole image */
average_image=ResizeImage(resample_filter->image,1,1,BoxFilter,1.0,
resample_filter->exception);
if (average_image == (Image *) NULL)
{
*pixel=resample_filter->average_pixel; /* FAILED */
break;
}
average_view=AcquireCacheView(average_image);
pixels=(PixelPacket *)GetCacheViewVirtualPixels(average_view,0,0,1,1,
resample_filter->exception);
if (pixels == (const PixelPacket *) NULL) {
average_view=DestroyCacheView(average_view);
average_image=DestroyImage(average_image);
*pixel=resample_filter->average_pixel; /* FAILED */
break;
}
indexes=(IndexPacket *) GetCacheViewAuthenticIndexQueue(average_view);
SetMagickPixelPacket(resample_filter->image,pixels,indexes,
&(resample_filter->average_pixel));
average_view=DestroyCacheView(average_view);
average_image=DestroyImage(average_image);
if ( resample_filter->virtual_pixel == CheckerTileVirtualPixelMethod )
{
/* CheckerTile is avergae of image average half background */
/* FUTURE: replace with a 50% blend of both pixels */
weight = QuantumScale*((MagickRealType)(QuantumRange-
resample_filter->average_pixel.opacity));
resample_filter->average_pixel.red *= weight;
resample_filter->average_pixel.green *= weight;
resample_filter->average_pixel.blue *= weight;
divisor_c = weight;
weight = QuantumScale*((MagickRealType)(QuantumRange-
resample_filter->image->background_color.opacity));
resample_filter->average_pixel.red +=
weight*resample_filter->image->background_color.red;
resample_filter->average_pixel.green +=
weight*resample_filter->image->background_color.green;
resample_filter->average_pixel.blue +=
weight*resample_filter->image->background_color.blue;
resample_filter->average_pixel.opacity +=
resample_filter->image->background_color.opacity;
divisor_c += weight;
resample_filter->average_pixel.red /= divisor_c;
resample_filter->average_pixel.green /= divisor_c;
resample_filter->average_pixel.blue /= divisor_c;
resample_filter->average_pixel.opacity /= 2;
}
}
*pixel=resample_filter->average_pixel;
break;
}
return(status);
}
/*
Initialize weighted average data collection
*/
hit = 0;
divisor_c = 0.0;
divisor_m = 0.0;
pixel->red = pixel->green = pixel->blue = 0.0;
if (pixel->matte != MagickFalse) pixel->opacity = 0.0;
if (pixel->colorspace == CMYKColorspace) pixel->index = 0.0;
/*
Determine the parellelogram bounding box fitted to the ellipse
centered at u0,v0. This area is bounding by the lines...
*/
v1 = (ssize_t)ceil(v0 - resample_filter->Vlimit); /* range of scan lines */
v2 = (ssize_t)floor(v0 + resample_filter->Vlimit);
/* scan line start and width accross the parallelogram */
u1 = u0 + (v1-v0)*resample_filter->slope - resample_filter->Uwidth;
uw = (ssize_t)(2.0*resample_filter->Uwidth)+1;
#if DEBUG_ELLIPSE
(void) FormatLocaleFile(stderr, "v1=%ld; v2=%ld\n", (long)v1, (long)v2);
(void) FormatLocaleFile(stderr, "u1=%ld; uw=%ld\n", (long)u1, (long)uw);
#else
# define DEBUG_HIT_MISS 0 /* only valid if DEBUG_ELLIPSE is enabled */
#endif
/*
Do weighted resampling of all pixels, within the scaled ellipse,
bound by a Parellelogram fitted to the ellipse.
*/
DDQ = 2*resample_filter->A;
for( v=v1; v<=v2; v++ ) {
#if DEBUG_HIT_MISS
long uu = ceil(u1); /* actual pixel location (for debug only) */
(void) FormatLocaleFile(stderr, "# scan line from pixel %ld, %ld\n", (long)uu, (long)v);
#endif
u = (ssize_t)ceil(u1); /* first pixel in scanline */
u1 += resample_filter->slope; /* start of next scan line */
/* location of this first pixel, relative to u0,v0 */
U = (double)u-u0;
V = (double)v-v0;
/* Q = ellipse quotent ( if Q<F then pixel is inside ellipse) */
Q = (resample_filter->A*U + resample_filter->B*V)*U + resample_filter->C*V*V;
DQ = resample_filter->A*(2.0*U+1) + resample_filter->B*V;
/* get the scanline of pixels for this v */
pixels=GetCacheViewVirtualPixels(resample_filter->view,u,v,(size_t) uw,
1,resample_filter->exception);
if (pixels == (const PixelPacket *) NULL)
return(MagickFalse);
indexes=GetCacheViewVirtualIndexQueue(resample_filter->view);
/* count up the weighted pixel colors */
for( u=0; u<uw; u++ ) {
#if FILTER_LUT
/* Note that the ellipse has been pre-scaled so F = WLUT_WIDTH */
if ( Q < (double)WLUT_WIDTH ) {
weight = resample_filter->filter_lut[(int)Q];
#else
/* Note that the ellipse has been pre-scaled so F = support^2 */
if ( Q < (double)resample_filter->F ) {
weight = GetResizeFilterWeight(resample_filter->filter_def,
sqrt(Q)); /* a SquareRoot! Arrggghhhhh... */
#endif
pixel->opacity += weight*pixels->opacity;
divisor_m += weight;
if (pixel->matte != MagickFalse)
weight *= QuantumScale*((MagickRealType)(QuantumRange-pixels->opacity));
pixel->red += weight*pixels->red;
pixel->green += weight*pixels->green;
pixel->blue += weight*pixels->blue;
if (pixel->colorspace == CMYKColorspace)
pixel->index += weight*(*indexes);
divisor_c += weight;
hit++;
#if DEBUG_HIT_MISS
/* mark the pixel according to hit/miss of the ellipse */
(void) FormatLocaleFile(stderr, "set arrow from %lf,%lf to %lf,%lf nohead ls 3\n",
(long)uu-.1,(double)v-.1,(long)uu+.1,(long)v+.1);
(void) FormatLocaleFile(stderr, "set arrow from %lf,%lf to %lf,%lf nohead ls 3\n",
(long)uu+.1,(double)v-.1,(long)uu-.1,(long)v+.1);
} else {
(void) FormatLocaleFile(stderr, "set arrow from %lf,%lf to %lf,%lf nohead ls 1\n",
(long)uu-.1,(double)v-.1,(long)uu+.1,(long)v+.1);
(void) FormatLocaleFile(stderr, "set arrow from %lf,%lf to %lf,%lf nohead ls 1\n",
(long)uu+.1,(double)v-.1,(long)uu-.1,(long)v+.1);
}
uu++;
#else
}
#endif
pixels++;
indexes++;
Q += DQ;
DQ += DDQ;
}
}
#if DEBUG_ELLIPSE
(void) FormatLocaleFile(stderr, "Hit=%ld; Total=%ld;\n", (long)hit, (long)uw*(v2-v1) );
#endif
/*
Result sanity check -- this should NOT happen
*/
if ( hit == 0 ) {
/* not enough pixels in resampling, resort to direct interpolation */
#if DEBUG_NO_PIXEL_HIT
pixel->opacity = pixel->red = pixel->green = pixel->blue = 0;
pixel->red = QuantumRange; /* show pixels for which EWA fails */
#else
status=InterpolateMagickPixelPacket(resample_filter->image,
resample_filter->view,resample_filter->interpolate,u0,v0,pixel,
resample_filter->exception);
#endif
return status;
}
/*
Finialize results of resampling
*/
divisor_m = 1.0/divisor_m;
pixel->opacity = (MagickRealType) ClampToQuantum(divisor_m*pixel->opacity);
divisor_c = 1.0/divisor_c;
pixel->red = (MagickRealType) ClampToQuantum(divisor_c*pixel->red);
pixel->green = (MagickRealType) ClampToQuantum(divisor_c*pixel->green);
pixel->blue = (MagickRealType) ClampToQuantum(divisor_c*pixel->blue);
if (pixel->colorspace == CMYKColorspace)
pixel->index = (MagickRealType) ClampToQuantum(divisor_c*pixel->index);
return(MagickTrue);
}
#if EWA && EWA_CLAMP
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
- C l a m p U p A x e s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ClampUpAxes() function converts the input vectors into a major and
% minor axis unit vectors, and their magnitude. This allows us to
% ensure that the ellipse generated is never smaller than the unit
% circle and thus never too small for use in EWA resampling.
%
% This purely mathematical 'magic' was provided by Professor Nicolas
% Robidoux and his Masters student Chantal Racette.
%
% Reference: "We Recommend Singular Value Decomposition", David Austin
% http://www.ams.org/samplings/feature-column/fcarc-svd
%
% By generating major and minor axis vectors, we can actually use the
% ellipse in its "canonical form", by remapping the dx,dy of the
% sampled point into distances along the major and minor axis unit
% vectors.
%
% Reference: http://en.wikipedia.org/wiki/Ellipse#Canonical_form
*/
static inline void ClampUpAxes(const double dux,
const double dvx,
const double duy,
const double dvy,
double *major_mag,
double *minor_mag,
double *major_unit_x,
double *major_unit_y,
double *minor_unit_x,
double *minor_unit_y)
{
/*
* ClampUpAxes takes an input 2x2 matrix
*
* [ a b ] = [ dux duy ]
* [ c d ] = [ dvx dvy ]
*
* and computes from it the major and minor axis vectors [major_x,
* major_y] and [minor_x,minor_y] of the smallest ellipse containing
* both the unit disk and the ellipse which is the image of the unit
* disk by the linear transformation
*
* [ dux duy ] [S] = [s]
* [ dvx dvy ] [T] = [t]
*
* (The vector [S,T] is the difference between a position in output
* space and [X,Y]; the vector [s,t] is the difference between a
* position in input space and [x,y].)
*/
/*
* Output:
*
* major_mag is the half-length of the major axis of the "new"
* ellipse.
*
* minor_mag is the half-length of the minor axis of the "new"
* ellipse.
*
* major_unit_x is the x-coordinate of the major axis direction vector
* of both the "old" and "new" ellipses.
*
* major_unit_y is the y-coordinate of the major axis direction vector.
*
* minor_unit_x is the x-coordinate of the minor axis direction vector.
*
* minor_unit_y is the y-coordinate of the minor axis direction vector.
*
* Unit vectors are useful for computing projections, in particular,
* to compute the distance between a point in output space and the
* center of a unit disk in output space, using the position of the
* corresponding point [s,t] in input space. Following the clamping,
* the square of this distance is
*
* ( ( s * major_unit_x + t * major_unit_y ) / major_mag )^2
* +
* ( ( s * minor_unit_x + t * minor_unit_y ) / minor_mag )^2
*
* If such distances will be computed for many [s,t]'s, it makes
* sense to actually compute the reciprocal of major_mag and
* minor_mag and multiply them by the above unit lengths.
*
* Now, if you want to modify the input pair of tangent vectors so
* that it defines the modified ellipse, all you have to do is set
*
* newdux = major_mag * major_unit_x
* newdvx = major_mag * major_unit_y
* newduy = minor_mag * minor_unit_x = minor_mag * -major_unit_y
* newdvy = minor_mag * minor_unit_y = minor_mag * major_unit_x
*
* and use these tangent vectors as if they were the original ones.
* Usually, this is a drastic change in the tangent vectors even if
* the singular values are not clamped; for example, the minor axis
* vector always points in a direction which is 90 degrees
* counterclockwise from the direction of the major axis vector.
*/
/*
* Discussion:
*
* GOAL: Fix things so that the pullback, in input space, of a disk
* of radius r in output space is an ellipse which contains, at
* least, a disc of radius r. (Make this hold for any r>0.)
*
* ESSENCE OF THE METHOD: Compute the product of the first two
* factors of an SVD of the linear transformation defining the
* ellipse and make sure that both its columns have norm at least 1.
* Because rotations and reflexions map disks to themselves, it is
* not necessary to compute the third (rightmost) factor of the SVD.
*
* DETAILS: Find the singular values and (unit) left singular
* vectors of Jinv, clampling up the singular values to 1, and
* multiply the unit left singular vectors by the new singular
* values in order to get the minor and major ellipse axis vectors.
*
* Image resampling context:
*
* The Jacobian matrix of the transformation at the output point
* under consideration is defined as follows:
*
* Consider the transformation (x,y) -> (X,Y) from input locations
* to output locations. (Anthony Thyssen, elsewhere in resample.c,
* uses the notation (u,v) -> (x,y).)
*
* The Jacobian matrix of the transformation at (x,y) is equal to
*
* J = [ A, B ] = [ dX/dx, dX/dy ]
* [ C, D ] [ dY/dx, dY/dy ]
*
* that is, the vector [A,C] is the tangent vector corresponding to
* input changes in the horizontal direction, and the vector [B,D]
* is the tangent vector corresponding to input changes in the
* vertical direction.
*
* In the context of resampling, it is natural to use the inverse
* Jacobian matrix Jinv because resampling is generally performed by
* pulling pixel locations in the output image back to locations in
* the input image. Jinv is
*
* Jinv = [ a, b ] = [ dx/dX, dx/dY ]
* [ c, d ] [ dy/dX, dy/dY ]
*
* Note: Jinv can be computed from J with the following matrix
* formula:
*
* Jinv = 1/(A*D-B*C) [ D, -B ]
* [ -C, A ]
*
* What we do is modify Jinv so that it generates an ellipse which
* is as close as possible to the original but which contains the
* unit disk. This can be accomplished as follows:
*
* Let
*
* Jinv = U Sigma V^T
*
* be an SVD decomposition of Jinv. (The SVD is not unique, but the
* final ellipse does not depend on the particular SVD.)
*
* We could clamp up the entries of the diagonal matrix Sigma so
* that they are at least 1, and then set
*
* Jinv = U newSigma V^T.
*
* However, we do not need to compute V for the following reason:
* V^T is an orthogonal matrix (that is, it represents a combination
* of rotations and reflexions) so that it maps the unit circle to
* itself. For this reason, the exact value of V does not affect the
* final ellipse, and we can choose V to be the identity
* matrix. This gives
*
* Jinv = U newSigma.
*
* In the end, we return the two diagonal entries of newSigma
* together with the two columns of U.
*/
/*
* ClampUpAxes was written by Nicolas Robidoux and Chantal Racette
* of Laurentian University with insightful suggestions from Anthony
* Thyssen and funding from the National Science and Engineering
* Research Council of Canada. It is distinguished from its
* predecessors by its efficient handling of degenerate cases.
*
* The idea of clamping up the EWA ellipse's major and minor axes so
* that the result contains the reconstruction kernel filter support
* is taken from Andreas Gustaffson's Masters thesis "Interactive
* Image Warping", Helsinki University of Technology, Faculty of
* Information Technology, 59 pages, 1993 (see Section 3.6).
*
* The use of the SVD to clamp up the singular values of the
* Jacobian matrix of the pullback transformation for EWA resampling
* is taken from the astrophysicist Craig DeForest. It is
* implemented in his PDL::Transform code (PDL = Perl Data
* Language).
*/
const double a = dux;
const double b = duy;
const double c = dvx;
const double d = dvy;
/*
* n is the matrix Jinv * transpose(Jinv). Eigenvalues of n are the
* squares of the singular values of Jinv.
*/
const double aa = a*a;
const double bb = b*b;
const double cc = c*c;
const double dd = d*d;
/*
* Eigenvectors of n are left singular vectors of Jinv.
*/
const double n11 = aa+bb;
const double n12 = a*c+b*d;
const double n21 = n12;
const double n22 = cc+dd;
const double det = a*d-b*c;
const double twice_det = det+det;
const double frobenius_squared = n11+n22;
const double discriminant =
(frobenius_squared+twice_det)*(frobenius_squared-twice_det);
const double sqrt_discriminant = sqrt(discriminant);
/*
* s1 is the largest singular value of the inverse Jacobian
* matrix. In other words, its reciprocal is the smallest singular
* value of the Jacobian matrix itself.
* If s1 = 0, both singular values are 0, and any orthogonal pair of
* left and right factors produces a singular decomposition of Jinv.
*/
/*
* Initially, we only compute the squares of the singular values.
*/
const double s1s1 = 0.5*(frobenius_squared+sqrt_discriminant);
/*
* s2 the smallest singular value of the inverse Jacobian
* matrix. Its reciprocal is the largest singular value of the
* Jacobian matrix itself.
*/
const double s2s2 = 0.5*(frobenius_squared-sqrt_discriminant);
const double s1s1minusn11 = s1s1-n11;
const double s1s1minusn22 = s1s1-n22;
/*
* u1, the first column of the U factor of a singular decomposition
* of Jinv, is a (non-normalized) left singular vector corresponding
* to s1. It has entries u11 and u21. We compute u1 from the fact
* that it is an eigenvector of n corresponding to the eigenvalue
* s1^2.
*/
const double s1s1minusn11_squared = s1s1minusn11*s1s1minusn11;
const double s1s1minusn22_squared = s1s1minusn22*s1s1minusn22;
/*
* The following selects the largest row of n-s1^2 I as the one
* which is used to find the eigenvector. If both s1^2-n11 and
* s1^2-n22 are zero, n-s1^2 I is the zero matrix. In that case,
* any vector is an eigenvector; in addition, norm below is equal to
* zero, and, in exact arithmetic, this is the only case in which
* norm = 0. So, setting u1 to the simple but arbitrary vector [1,0]
* if norm = 0 safely takes care of all cases.
*/
const double temp_u11 =
( (s1s1minusn11_squared>=s1s1minusn22_squared) ? n12 : s1s1minusn22 );
const double temp_u21 =
( (s1s1minusn11_squared>=s1s1minusn22_squared) ? s1s1minusn11 : n21 );
const double norm = sqrt(temp_u11*temp_u11+temp_u21*temp_u21);
/*
* Finalize the entries of first left singular vector (associated
* with the largest singular value).
*/
const double u11 = ( (norm>0.0) ? temp_u11/norm : 1.0 );
const double u21 = ( (norm>0.0) ? temp_u21/norm : 0.0 );
/*
* Clamp the singular values up to 1.
*/
*major_mag = ( (s1s1<=1.0) ? 1.0 : sqrt(s1s1) );
*minor_mag = ( (s2s2<=1.0) ? 1.0 : sqrt(s2s2) );
/*
* Return the unit major and minor axis direction vectors.
*/
*major_unit_x = u11;
*major_unit_y = u21;
*minor_unit_x = -u21;
*minor_unit_y = u11;
}
#endif
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S c a l e R e s a m p l e F i l t e r %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ScaleResampleFilter() does all the calculations needed to resample an image
% at a specific scale, defined by two scaling vectors. This not using
% a orthogonal scaling, but two distorted scaling vectors, to allow the
% generation of a angled ellipse.
%
% As only two deritive scaling vectors are used the center of the ellipse
% must be the center of the lookup. That is any curvature that the
% distortion may produce is discounted.
%
% The input vectors are produced by either finding the derivitives of the
% distortion function, or the partial derivitives from a distortion mapping.
% They do not need to be the orthogonal dx,dy scaling vectors, but can be
% calculated from other derivatives. For example you could use dr,da/r
% polar coordinate vector scaling vectors
%
% If u,v = DistortEquation(x,y) OR u = Fu(x,y); v = Fv(x,y)
% Then the scaling vectors are determined from the deritives...
% du/dx, dv/dx and du/dy, dv/dy
% If the resulting scaling vectors is othogonally aligned then...
% dv/dx = 0 and du/dy = 0
% Producing an othogonally alligned ellipse in source space for the area to
% be resampled.
%
% Note that scaling vectors are different to argument order. Argument order
% is the general order the deritives are extracted from the distortion
% equations, and not the scaling vectors. As such the middle two vaules
% may be swapped from what you expect. Caution is advised.
%
% WARNING: It is assumed that any SetResampleFilter() method call will
% always be performed before the ScaleResampleFilter() method, so that the
% size of the ellipse will match the support for the resampling filter being
% used.
%
% The format of the ScaleResampleFilter method is:
%
% void ScaleResampleFilter(const ResampleFilter *resample_filter,
% const double dux,const double duy,const double dvx,const double dvy)
%
% A description of each parameter follows:
%
% o resample_filter: the resampling resample_filterrmation defining the
% image being resampled
%
% o dux,duy,dvx,dvy:
% The deritives or scaling vectors defining the EWA ellipse.
% NOTE: watch the order, which is based on the order deritives
% are usally determined from distortion equations (see above).
% The middle two values may need to be swapped if you are thinking
% in terms of scaling vectors.
%
*/
MagickExport void ScaleResampleFilter(ResampleFilter *resample_filter,
const double dux,const double duy,const double dvx,const double dvy)
{
double A,B,C,F;
assert(resample_filter != (ResampleFilter *) NULL);
assert(resample_filter->signature == MagickSignature);
resample_filter->limit_reached = MagickFalse;
/* A 'point' filter forces use of interpolation instead of area sampling */
if ( resample_filter->filter == PointFilter )
return; /* EWA turned off - nothing to do */
#if DEBUG_ELLIPSE
(void) FormatLocaleFile(stderr, "# -----\n" );
(void) FormatLocaleFile(stderr, "dux=%lf; dvx=%lf; duy=%lf; dvy=%lf;\n",
dux, dvx, duy, dvy);
#endif
/* Find Ellipse Coefficents such that
A*u^2 + B*u*v + C*v^2 = F
With u,v relative to point around which we are resampling.
And the given scaling dx,dy vectors in u,v space
du/dx,dv/dx and du/dy,dv/dy
*/
#if EWA
/* Direct conversion of derivatives into elliptical coefficients
However when magnifying images, the scaling vectors will be small
resulting in a ellipse that is too small to sample properly.
As such we need to clamp the major/minor axis to a minumum of 1.0
to prevent it getting too small.
*/
#if EWA_CLAMP
{ double major_mag,
minor_mag,
major_x,
major_y,
minor_x,
minor_y;
ClampUpAxes(dux,dvx,duy,dvy, &major_mag, &minor_mag,
&major_x, &major_y, &minor_x, &minor_y);
major_x *= major_mag; major_y *= major_mag;
minor_x *= minor_mag; minor_y *= minor_mag;
#if DEBUG_ELLIPSE
(void) FormatLocaleFile(stderr, "major_x=%lf; major_y=%lf; minor_x=%lf; minor_y=%lf;\n",
major_x, major_y, minor_x, minor_y);
#endif
A = major_y*major_y+minor_y*minor_y;
B = -2.0*(major_x*major_y+minor_x*minor_y);
C = major_x*major_x+minor_x*minor_x;
F = major_mag*minor_mag;
F *= F; /* square it */
}
#else /* raw unclamped EWA */
A = dvx*dvx+dvy*dvy;
B = -2.0*(dux*dvx+duy*dvy);
C = dux*dux+duy*duy;
F = dux*dvy-duy*dvx;
F *= F; /* square it */
#endif /* EWA_CLAMP */
#else /* HQ_EWA */
/*
This Paul Heckbert's "Higher Quality EWA" formula, from page 60 in his
thesis, which adds a unit circle to the elliptical area so as to do both
Reconstruction and Prefiltering of the pixels in the resampling. It also
means it is always likely to have at least 4 pixels within the area of the
ellipse, for weighted averaging. No scaling will result with F == 4.0 and
a circle of radius 2.0, and F smaller than this means magnification is
being used.
NOTE: This method produces a very blury result at near unity scale while
producing perfect results for strong minitification and magnifications.
However filter support is fixed to 2.0 (no good for Windowed Sinc filters)
*/
A = dvx*dvx+dvy*dvy+1;
B = -2.0*(dux*dvx+duy*dvy);
C = dux*dux+duy*duy+1;
F = A*C - B*B/4;
#endif
#if DEBUG_ELLIPSE
(void) FormatLocaleFile(stderr, "A=%lf; B=%lf; C=%lf; F=%lf\n", A,B,C,F);
/* Figure out the various information directly about the ellipse.
This information currently not needed at this time, but may be
needed later for better limit determination.
It is also good to have as a record for future debugging
*/
{ double alpha, beta, gamma, Major, Minor;
double Eccentricity, Ellipse_Area, Ellipse_Angle;
alpha = A+C;
beta = A-C;
gamma = sqrt(beta*beta + B*B );
if ( alpha - gamma <= MagickEpsilon )
Major = MagickHuge;
else
Major = sqrt(2*F/(alpha - gamma));
Minor = sqrt(2*F/(alpha + gamma));
(void) FormatLocaleFile(stderr, "# Major=%lf; Minor=%lf\n", Major, Minor );
/* other information about ellipse include... */
Eccentricity = Major/Minor;
Ellipse_Area = MagickPI*Major*Minor;
Ellipse_Angle = atan2(B, A-C);
(void) FormatLocaleFile(stderr, "# Angle=%lf Area=%lf\n",
RadiansToDegrees(Ellipse_Angle), Ellipse_Area);
}
#endif
/* If one or both of the scaling vectors is impossibly large
(producing a very large raw F value), we may as well not bother
doing any form of resampling since resampled area is very large.
In this case some alternative means of pixel sampling, such as
the average of the whole image is needed to get a reasonable
result. Calculate only as needed.
*/
if ( (4*A*C - B*B) > MagickHuge ) {
resample_filter->limit_reached = MagickTrue;
return;
}
/* Scale ellipse to match the filters support
(that is, multiply F by the square of the support).
*/
F *= resample_filter->support;
F *= resample_filter->support;
/* Orthogonal bounds of the ellipse */
resample_filter->Ulimit = sqrt(C*F/(A*C-0.25*B*B));
resample_filter->Vlimit = sqrt(A*F/(A*C-0.25*B*B));
/* Horizontally aligned parallelogram fitted to Ellipse */
resample_filter->Uwidth = sqrt(F/A); /* Half of the parallelogram width */
resample_filter->slope = -B/(2.0*A); /* Reciprocal slope of the parallelogram */
#if DEBUG_ELLIPSE
(void) FormatLocaleFile(stderr, "Ulimit=%lf; Vlimit=%lf; UWidth=%lf; Slope=%lf;\n",
resample_filter->Ulimit, resample_filter->Vlimit,
resample_filter->Uwidth, resample_filter->slope );
#endif
/* Check the absolute area of the parallelogram involved.
* This limit needs more work, as it is too slow for larger images
* with tiled views of the horizon.
*/
if ( (resample_filter->Uwidth * resample_filter->Vlimit)
> (4.0*resample_filter->image_area)) {
resample_filter->limit_reached = MagickTrue;
return;
}
/* Scale ellipse formula to directly index the Filter Lookup Table */
{ register double scale;
#if FILTER_LUT
/* scale so that F = WLUT_WIDTH; -- hardcoded */
scale = (double)WLUT_WIDTH/F;
#else
/* scale so that F = resample_filter->F (support^2) */
scale = resample_filter->F/F;
#endif
resample_filter->A = A*scale;
resample_filter->B = B*scale;
resample_filter->C = C*scale;
}
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t R e s a m p l e F i l t e r %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetResampleFilter() set the resampling filter lookup table based on a
% specific filter. Note that the filter is used as a radial filter not as a
% two pass othogonally aligned resampling filter.
%
% The default Filter, is Gaussian, which is the standard filter used by the
% original paper on the Elliptical Weighted Everage Algorithm. However other
% filters can also be used.
%
% The format of the SetResampleFilter method is:
%
% void SetResampleFilter(ResampleFilter *resample_filter,
% const FilterTypes filter,const double blur)
%
% A description of each parameter follows:
%
% o resample_filter: resampling resample_filterrmation structure
%
% o filter: the resize filter for elliptical weighting LUT
%
% o blur: filter blur factor (radial scaling) for elliptical weighting LUT
%
*/
MagickExport void SetResampleFilter(ResampleFilter *resample_filter,
const FilterTypes filter,const double blur)
{
ResizeFilter
*resize_filter;
assert(resample_filter != (ResampleFilter *) NULL);
assert(resample_filter->signature == MagickSignature);
resample_filter->do_interpolate = MagickFalse;
resample_filter->filter = filter;
if ( filter == PointFilter )
{
resample_filter->do_interpolate = MagickTrue;
return; /* EWA turned off - nothing more to do */
}
/* Set a default cylindrical filter of a 'low blur' Jinc windowed Jinc */
if ( filter == UndefinedFilter )
resample_filter->filter = RobidouxFilter;
resize_filter = AcquireResizeFilter(resample_filter->image,
resample_filter->filter,blur,MagickTrue,resample_filter->exception);
if (resize_filter == (ResizeFilter *) NULL)
{
(void) ThrowMagickException(resample_filter->exception,GetMagickModule(),
ModuleError, "UnableToSetFilteringValue",
"Fall back to default EWA gaussian filter");
resample_filter->filter = PointFilter;
}
/* Get the practical working support for the filter,
* after any API call blur factors have been accoded for.
*/
#if EWA
resample_filter->support = GetResizeFilterSupport(resize_filter);
#else
resample_filter->support = 2.0; /* fixed support size for HQ-EWA */
#endif
#if FILTER_LUT
/* Fill the LUT with the weights from the selected filter function */
{ register int
Q;
double
r_scale;
/* Scale radius so the filter LUT covers the full support range */
r_scale = resample_filter->support*sqrt(1.0/(double)WLUT_WIDTH);
for(Q=0; Q<WLUT_WIDTH; Q++)
resample_filter->filter_lut[Q] = (double)
GetResizeFilterWeight(resize_filter,sqrt((double)Q)*r_scale);
/* finished with the resize filter */
resize_filter = DestroyResizeFilter(resize_filter);
}
#else
/* save the filter and the scaled ellipse bounds needed for filter */
resample_filter->filter_def = resize_filter;
resample_filter->F = resample_filter->support*resample_filter->support;
#endif
/*
Adjust the scaling of the default unit circle
This assumes that any real scaling changes will always
take place AFTER the filter method has been initialized.
*/
ScaleResampleFilter(resample_filter, 1.0, 0.0, 0.0, 1.0);
#if 0
/* This is old code kept as a reference only. It is very wrong,
and I don't understand exactly what it was attempting to do.
*/
/*
Create Normal Gaussian 2D Filter Weighted Lookup Table.
A normal EWA guassual lookup would use exp(Q*ALPHA)
where Q = distance squared from 0.0 (center) to 1.0 (edge)
and ALPHA = -4.0*ln(2.0) ==> -2.77258872223978123767
The table is of length 1024, and equates to support radius of 2.0
thus needs to be scaled by ALPHA*4/1024 and any blur factor squared
The above came from some reference code provided by Fred Weinhaus
and seems to have been a guess that was appropriate for its use
in a 3d perspective landscape mapping program.
*/
r_scale = -2.77258872223978123767/(WLUT_WIDTH*blur*blur);
for(Q=0; Q<WLUT_WIDTH; Q++)
resample_filter->filter_lut[Q] = exp((double)Q*r_scale);
resample_filter->support = WLUT_WIDTH;
break;
#endif
#if FILTER_LUT
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp single
#endif
{ register int
Q;
double
r_scale;
/* Scale radius so the filter LUT covers the full support range */
r_scale = resample_filter->support*sqrt(1.0/(double)WLUT_WIDTH);
if (IsMagickTrue(GetImageArtifact(resample_filter->image,"resample:verbose")) )
{
/* Debug output of the filter weighting LUT
Gnuplot the LUT with hoizontal adjusted to 'r' using...
plot [0:2][-.2:1] "lut.dat" using (sqrt($0/1024)*2):1 with lines
The filter values is normalized for comparision
*/
printf("#\n");
printf("# Resampling Filter LUT (%d values)\n", WLUT_WIDTH);
printf("#\n");
printf("# Note: values in table are using a squared radius lookup.\n");
printf("# And the whole table represents the filters support.\n");
printf("\n"); /* generates a 'break' in gnuplot if multiple outputs */
for(Q=0; Q<WLUT_WIDTH; Q++)
printf("%8.*g %.*g\n",
GetMagickPrecision(),sqrt((double)Q)*r_scale,
GetMagickPrecision(),resample_filter->filter_lut[Q] );
}
/* output the above once only for each image, and each setting */
(void) DeleteImageArtifact(resample_filter->image,"resample:verbose");
}
#endif /* FILTER_LUT */
return;
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t R e s a m p l e F i l t e r I n t e r p o l a t e M e t h o d %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetResampleFilterInterpolateMethod() sets the resample filter interpolation
% method.
%
% The format of the SetResampleFilterInterpolateMethod method is:
%
% MagickBooleanType SetResampleFilterInterpolateMethod(
% ResampleFilter *resample_filter,const InterpolateMethod method)
%
% A description of each parameter follows:
%
% o resample_filter: the resample filter.
%
% o method: the interpolation method.
%
*/
MagickExport MagickBooleanType SetResampleFilterInterpolateMethod(
ResampleFilter *resample_filter,const InterpolatePixelMethod method)
{
assert(resample_filter != (ResampleFilter *) NULL);
assert(resample_filter->signature == MagickSignature);
assert(resample_filter->image != (Image *) NULL);
if (resample_filter->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",
resample_filter->image->filename);
resample_filter->interpolate=method;
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t R e s a m p l e F i l t e r V i r t u a l P i x e l M e t h o d %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetResampleFilterVirtualPixelMethod() changes the virtual pixel method
% associated with the specified resample filter.
%
% The format of the SetResampleFilterVirtualPixelMethod method is:
%
% MagickBooleanType SetResampleFilterVirtualPixelMethod(
% ResampleFilter *resample_filter,const VirtualPixelMethod method)
%
% A description of each parameter follows:
%
% o resample_filter: the resample filter.
%
% o method: the virtual pixel method.
%
*/
MagickExport MagickBooleanType SetResampleFilterVirtualPixelMethod(
ResampleFilter *resample_filter,const VirtualPixelMethod method)
{
assert(resample_filter != (ResampleFilter *) NULL);
assert(resample_filter->signature == MagickSignature);
assert(resample_filter->image != (Image *) NULL);
if (resample_filter->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",
resample_filter->image->filename);
resample_filter->virtual_pixel=method;
if (method != UndefinedVirtualPixelMethod)
(void) SetCacheViewVirtualPixelMethod(resample_filter->view,method);
return(MagickTrue);
}
|
transforms.c | #include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <complex.h>
#include <omp.h>
#include "logger.h"
//void morlet(int ndata, int n_nu, int n_eta, double conv_ext, double fourier_b,
// double *data, double *nu, double *eta, double complex *out){
// // Discrete Morlet Wavelet transform, using Morlet basis from Goupillaud 1984 (Eq. 5, 6 - with b=2pi)
//
// int ix, jnuc,jeta, jnu, thisn;
// double exponent, mag, extent, dt;
//
// dt = nu[1] - nu[0];
//
// double sqrt2 = sqrt(2.0);
// int index = 0;
//
// for (ix=0;ix<ndata;ix++){
// for (jnuc=0;jnuc<n_nu;jnuc++){
// for (jeta=0; jeta<n_eta;jeta++){
// extent = 1/(eta[jeta]*sqrt2);
// thisn = ceil(conv_ext*extent/dt);
//
// for (jnu=fmax(0, jnuc-thisn); jnu<fmin(jnuc+thisn, n_nu); jnu++){
// exponent = eta[jeta]*(nu[jnu] - nu[jnuc]);
// out[index] += data[ix*n_nu + jnu]*cexp(-exponent*(exponent/2 + fourier_b*I));
// }
// index++;
// }
// }
// }
//}
inline int max(int a, int b) {
return a > b ? a : b;
}
inline int min(int a, int b) {
return a < b ? a : b;
}
void cmorlet(unsigned int ndata, unsigned int n_nu, unsigned int n_eta,
double conv_ext, double fourier_b,
double complex *data, double *nu, double *eta, int nthreads,
double complex *out){
/*
Discrete Morlet Wavelet transform
=================================
Uses Morlet basis from Goupillaud 1984 (Eq. 5, 6 - with b=2pi)
Notes
-----
The SHAPE of any of the below args indicates the *ordering* of the
raveled array, with last axis moving first.
Args
----
ndata (int) :
Number of different data sets to be transformed (each is independent)
n_nu (int) :
Number of real-space cells (eg. frequencies, in terms of visibilities)
n_eta (int) :
Number of fourier-space cells to transform to, should be ~1/2 n_nu
conv_ext (double) :
Convergence extent. The number of Morlet kernel sigma "widths" to
actually perform integration for. Should be ~5 or more.
fourier_b (double) :
The Fourier convention, i.e. the Fourier kernel is e^{-bi nu*eta}.
data (double complex, SHAPE=[n_nu, ndata]) :
The input (complex) data.
nu (double, SHAPE=[n_nu]):
Real-space co-ordinates (i.e. frequencies, in terms of visibilities)
nthreads (int) :
Number of threads to use in OMP.
eta (double, SHAPE=[n_eta]):
Fourier-space co-ordinates (dual of nu).
Returns
-------
out (double complex, SHAPE=[n_eta, n_nu, ndata]):
The resulting Morlet transform.
*/
unsigned int ix, jnuc,jeta, jnu, jidx, jmin, jmax;
double exponent;
double complex xx;
int thisn;
double sqrt2 = sqrt(2.0);
unsigned int out_idx = 0;
unsigned int data_idx = 0;
double sqrt2dnu = sqrt2*(nu[1] - nu[0]);
omp_set_num_threads(nthreads);
#pragma omp parallel for private(thisn, jidx, out_idx, jnuc, jmin, jmax, data_idx, exponent, xx, jnu, ix)
for (jeta=0; jeta<n_eta;jeta++){ // Loop through eta
thisn = ceil(conv_ext/(eta[jeta]*sqrt2dnu));
// We do this to be able to multi-thread
jidx = jeta * n_nu * ndata;
out_idx = 0;
LOG_DEBUG("jeta=%d, jidx=%d, thisn=%d", jeta, jidx, thisn);
for (jnuc=0;jnuc<n_nu;jnuc++){ // Loop through nu_centre
jmin = max(0, jnuc-thisn);
jmax = min(jnuc+thisn, n_nu);
data_idx = jmin*ndata;
LOG_SUPER_DEBUG("jnuc=%d, jmin=%d, jmax=%d", jnuc, jmin, jmax);
for (jnu=jmin; jnu<jmax; jnu++){ // Loop through nu (i.e. do the FT)
exponent = eta[jeta]*(nu[jnu] - nu[jnuc]);
xx = cexp(-exponent*(exponent/2 + fourier_b*I));
for (ix=0;ix<ndata;ix++){ // Loop through different data
// if(jidx + out_idx >= n_eta*n_nu*ndata){
// printf("Out of bounds on: jeta=%d, jnuc=%d, jnu=%d, ix=%d, jidx=%d, out_idx=%d\n", jeta, jnuc, jnu, ix, jidx, out_idx);
// }
out[jidx + out_idx] += data[data_idx]*xx;
if(jeta==(n_eta-1) && jnuc==(n_nu-1) && ix==(ndata-1))
LOG_ULTRA_DEBUG("\t\tjnu=%d ix=%d indx=%d jidx=%d, out_idx=%d, data=%g + %gi xx=%g out=%g + %gi", jnu, ix, jidx+out_idx, jidx, out_idx, creal(data[data_idx]), cimag(data[data_idx]), xx, creal(out[jidx + out_idx]), cimag(out[jidx + out_idx]));
data_idx++;
out_idx++;
}
out_idx -= ndata; // out_idx should not contain jnu, so reset it.
}
out_idx += ndata;
}
}
} |
variables.c | /*
test input
handling of variable scopes:
private, firstprivate, lastprivate
shared : from the same scope or from upper level scope
By C. Liao
*/
#include <stdio.h>
#ifdef _OPENMP
#include "omp.h"
#endif
int gi=0;
int m=1;
double mm=9.0;
#pragma omp threadprivate(m)
//#pragma omp threadprivate(mm)
int main(void)
{
int i;
int k_3;
int gj=0;
double j=0.5;
// m=1;
// mm=9.0;
k_3=7;
#pragma omp parallel private (i) firstprivate(k_3) reduction(+:gi,gj) private(mm)
{
int k=1;
#ifdef _OPENMP
i=omp_get_thread_num();
#endif
printf("Hello,world! I am thread %d\n",i);
//#pragma omp for shared(mm)
// shared () cannot be used with 'omp for' according to the specification
#pragma omp for
for (i=0;i<100;i++)
{i+=mm;}
#pragma omp single
printf("mm is:%f\n",mm);
#pragma omp critical
gi=i+j+k+k_3;
// int i=5;
gi+=i;
#pragma omp atomic
j++;
gj+=m+mm;
}
printf("gi is %d,gj is %d\n",gi,gj);
return 0;
}
|
GB_unaryop__identity_int64_bool.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__identity_int64_bool
// op(A') function: GB_tran__identity_int64_bool
// C type: int64_t
// A type: bool
// cast: int64_t cij = (int64_t) aij
// unaryop: cij = aij
#define GB_ATYPE \
bool
#define GB_CTYPE \
int64_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
bool aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = x ;
// casting
#define GB_CASTING(z, aij) \
int64_t z = (int64_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_IDENTITY || GxB_NO_INT64 || GxB_NO_BOOL)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop__identity_int64_bool
(
int64_t *Cx, // Cx and Ax may be aliased
bool *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__identity_int64_bool
(
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
|
thrmodel.c | #pragma omp declare target
#ifdef WIN32
#include <windows.h>
#else
#include <pthread.h>
#include <stdlib.h>
#endif
#ifdef USE_OMP
#include <omp.h>
#endif // USE_OMP
#ifdef USE_MKL
#include <omp.h>
#endif // USE_MKL
#include <assert.h>
#include <stdio.h>
#include "multiply.h"
#define xstr(s) x_str(s)
#define x_str(s) #s
#ifdef USE_THR
//=========================================================================================
// Native threading model
//=========================================================================================
typedef struct tparam
{
#pragma omp declare target
array *a;
array *b;
array *c;
array *t;
int msize;
int tidx;
int numt;
#pragma omp end declare target
} _tparam;
#ifdef WIN32
DWORD WINAPI ThreadFunction(LPVOID ptr)
#else
void *ThreadFunction(void *ptr)
#endif
{
_tparam* par = (_tparam*)ptr;
assert(par->numt > 0);
assert(par->a != NULL);
assert(par->b != NULL);
assert(par->c != NULL);
assert(par->t != NULL);
assert( (par->msize % par->numt) == 0);
MULTIPLY( par->msize,
par->tidx,
par->numt,
par->a,
par->b,
par->c,
par->t
);
#ifdef WIN32
return 0;
#else
//printf("exit thread function\n");
pthread_exit( (void *)0 );
#endif
}
void ParallelMultiply(int msize, TYPE a[][NUM], TYPE b[][NUM], TYPE c[][NUM], TYPE t[][NUM])
{
int NTHREADS = MAXTHREADS;
int MSIZE = NUM;
#ifdef WIN32
HANDLE ht[MAXTHREADS];
DWORD tid[MAXTHREADS];
#else
pthread_t ht[MAXTHREADS];
int tret[MAXTHREADS];
int rc;
void* status;
#endif
_tparam par[MAXTHREADS];
int tidx;
GetModelParams(&NTHREADS, &MSIZE, 0);
for (tidx=0; tidx<NTHREADS; tidx++)
{
par[tidx].msize = MSIZE;
par[tidx].numt = NTHREADS;
par[tidx].tidx = tidx;
par[tidx].a = a;
par[tidx].b = b;
par[tidx].c = c;
par[tidx].t = t;
#ifdef WIN32
ht[tidx] = (HANDLE)CreateThread(NULL, 0, ThreadFunction, &par[tidx], 0, &tid[tidx]);
#else
tret[tidx] = pthread_create( &ht[tidx], NULL, (void*)ThreadFunction, (void*) &par[tidx]);
#endif
}
#ifdef WIN32
WaitForMultipleObjects(NTHREADS, ht, TRUE, INFINITE);
#else // Pthreads
for (tidx=0; tidx<NTHREADS; tidx++)
{
// printf("Enter join\n"); fflush(stdout);
rc = pthread_join(ht[tidx], (void **)&status);
// printf("Exit join\n"); fflush(stdout);
}
#endif
}
extern int getCPUCount();
void GetModelParams(int* p_nthreads, int* p_msize, int print)
{
int nthr = MAXTHREADS;
int msize = NUM;
int ncpu = getCPUCount();
if (ncpu < MAXTHREADS) {
nthr = ncpu;
}
// Making sure the matrix size and the nthreads are aligned
// If you want more robust threading implementation, take care
// of the matrix tails
while ((msize % nthr) != 0 )
nthr--;
// If kernel multiply0, set single threaded execution
if (MULTIPLY == multiply0)
nthr = 1;
if(p_nthreads != 0)
*p_nthreads = nthr;
if(p_msize != 0)
*p_msize = msize;
if(print)
{
printf("Threads #: %d %s\n",nthr,
#ifdef WIN32
"Win threads"
#else
"Pthreads"
#endif
); fflush(stdout);
printf("Matrix size: %d\n",msize); fflush(stdout);
printf("Using multiply kernel: %s\n", xstr(MULTIPLY)); fflush(stdout);
}
}
#endif // USE_THR
#ifdef USE_OMP
//=========================================================================================
// OpenMP threading model
//=========================================================================================
void ParallelMultiply(int msize, TYPE a[][NUM], TYPE b[][NUM], TYPE c[][NUM], TYPE t[][NUM])
{
int NTHREADS = MAXTHREADS;
int MSIZE = NUM;
GetModelParams(&NTHREADS, &MSIZE, 0);
MULTIPLY(MSIZE, NTHREADS, 0, a, b, c, t);
}
void GetModelParams(int* p_nthreads, int* p_msize, int print)
{
int msize = NUM;
int nthr = MAXTHREADS;
int ncpu = omp_get_max_threads();
if (ncpu < nthr)
nthr = ncpu;
omp_set_num_threads(nthr);
if(p_nthreads != 0)
*p_nthreads = nthr;
if(p_msize != 0)
*p_msize = msize;
if(print)
{
printf("Threads #: %d %s\n",nthr,"OpenMP threads"); fflush(stdout);
printf("Matrix size: %d\n",msize); fflush(stdout);
printf("Using multiply kernel: %s\n", xstr(MULTIPLY)); fflush(stdout);
}
}
#endif // USE_OMP
#ifdef USE_MKL
//=========================================================================================
// MKL library
//=========================================================================================
void ParallelMultiply(int msize, TYPE a[][NUM], TYPE b[][NUM], TYPE c[][NUM], TYPE t[][NUM])
{
int NTHREADS = MAXTHREADS;
int MSIZE = NUM;
GetModelParams(&NTHREADS, &MSIZE, 0);
if(strncmp(xstr(MULTIPLY), "multiply5", 16) != 0)
{
printf("===== Error: Change matrix kernel to 'multiply5' for compilation with MKL =====\n"); fflush(stdout);
return;
}
MULTIPLY(MSIZE, NTHREADS, 0, a, b, c, t);
}
void GetModelParams(int* p_nthreads, int* p_msize, int print)
{
int msize = NUM;
int nthr = MAXTHREADS;
int ncpu = omp_get_max_threads();
if (ncpu < nthr)
nthr = ncpu;
omp_set_num_threads(nthr);
if(p_nthreads != 0)
*p_nthreads = nthr;
if(p_msize != 0)
*p_msize = msize;
if(print)
{
printf("Threads #: %d %s\n",nthr,"requested OpenMP threads"); fflush(stdout);
printf("Matrix size: %d\n",msize); fflush(stdout);
printf("Using multiply kernel: %s\n", xstr(MULTIPLY)); fflush(stdout);
}
}
#endif // USE_MKL
#pragma omp end declare target
|
_phonopy.c | /* Copyright (C) 2011 Atsushi Togo */
/* All rights reserved. */
/* This file is part of phonopy. */
/* 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 following disclaimer. */
/* * 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. */
/* * Neither the name of the phonopy project 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 THE */
/* COPYRIGHT HOLDER 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 <Python.h>
#include <stdio.h>
#include <stddef.h>
#include <math.h>
#include <float.h>
#include <numpy/arrayobject.h>
#include "phonopy.h"
/* PHPYCONST is defined in dynmat.h */
/* Build dynamical matrix */
static PyObject * py_transform_dynmat_to_fc(PyObject *self, PyObject *args);
static PyObject * py_perm_trans_symmetrize_fc(PyObject *self, PyObject *args);
static PyObject *
py_perm_trans_symmetrize_compact_fc(PyObject *self, PyObject *args);
static PyObject * py_transpose_compact_fc(PyObject *self, PyObject *args);
static PyObject * py_get_dynamical_matrix(PyObject *self, PyObject *args);
static PyObject * py_get_nac_dynamical_matrix(PyObject *self, PyObject *args);
static PyObject * py_get_recip_dipole_dipole(PyObject *self, PyObject *args);
static PyObject * py_get_recip_dipole_dipole_q0(PyObject *self, PyObject *args);
static PyObject * py_get_derivative_dynmat(PyObject *self, PyObject *args);
static PyObject * py_get_thermal_properties(PyObject *self, PyObject *args);
static PyObject * py_distribute_fc2(PyObject *self, PyObject *args);
static PyObject * py_compute_permutation(PyObject *self, PyObject *args);
static PyObject *
py_gsv_set_smallest_vectors_sparse(PyObject *self, PyObject *args);
static PyObject *
py_gsv_set_smallest_vectors_dense(PyObject *self, PyObject *args);
static PyObject *
py_thm_relative_grid_address(PyObject *self, PyObject *args);
static PyObject *
py_thm_all_relative_grid_address(PyObject *self, PyObject *args);
static PyObject *
py_thm_integration_weight(PyObject *self, PyObject *args);
static PyObject *
py_thm_integration_weight_at_omegas(PyObject *self, PyObject *args);
static PyObject * py_get_tetrahedra_frequenies(PyObject *self, PyObject *args);
static PyObject * py_tetrahedron_method_dos(PyObject *self, PyObject *args);
struct module_state {
PyObject *error;
};
#if PY_MAJOR_VERSION >= 3
#define GETSTATE(m) ((struct module_state*)PyModule_GetState(m))
#else
#define GETSTATE(m) (&_state)
static struct module_state _state;
#endif
static PyObject *
error_out(PyObject *m) {
struct module_state *st = GETSTATE(m);
PyErr_SetString(st->error, "something bad happened");
return NULL;
}
static PyMethodDef _phonopy_methods[] = {
{"error_out", (PyCFunction)error_out, METH_NOARGS, NULL},
{"transform_dynmat_to_fc", py_transform_dynmat_to_fc, METH_VARARGS,
"Transform a set of dynmat to force constants"},
{"perm_trans_symmetrize_fc", py_perm_trans_symmetrize_fc, METH_VARARGS,
"Enforce permutation and translational symmetry of force constants"},
{"perm_trans_symmetrize_compact_fc", py_perm_trans_symmetrize_compact_fc,
METH_VARARGS,
"Enforce permutation and translational symmetry of compact force constants"},
{"transpose_compact_fc", py_transpose_compact_fc,
METH_VARARGS,
"Transpose compact force constants"},
{"dynamical_matrix", py_get_dynamical_matrix, METH_VARARGS,
"Dynamical matrix"},
{"nac_dynamical_matrix", py_get_nac_dynamical_matrix, METH_VARARGS,
"NAC dynamical matrix"},
{"recip_dipole_dipole", py_get_recip_dipole_dipole, METH_VARARGS,
"Reciprocal part of dipole-dipole interaction"},
{"recip_dipole_dipole_q0", py_get_recip_dipole_dipole_q0, METH_VARARGS,
"q=0 terms of reciprocal part of dipole-dipole interaction"},
{"derivative_dynmat", py_get_derivative_dynmat, METH_VARARGS,
"Q derivative of dynamical matrix"},
{"thermal_properties", py_get_thermal_properties, METH_VARARGS,
"Thermal properties"},
{"distribute_fc2", py_distribute_fc2, METH_VARARGS,
"Distribute force constants for all atoms in atom_list using precomputed symmetry mappings."},
{"compute_permutation", py_compute_permutation, METH_VARARGS,
"Compute indices of original points in a set of rotated points."},
{"gsv_set_smallest_vectors_sparse", py_gsv_set_smallest_vectors_sparse,
METH_VARARGS, "Set shortest vectors in sparse array."},
{"gsv_set_smallest_vectors_dense", py_gsv_set_smallest_vectors_dense,
METH_VARARGS, "Set shortest vectors in dense array."},
{"tetrahedra_relative_grid_address", py_thm_relative_grid_address,
METH_VARARGS, "Relative grid addresses of vertices of 24 tetrahedra"},
{"all_tetrahedra_relative_grid_address",
py_thm_all_relative_grid_address, METH_VARARGS,
"4 (all) sets of relative grid addresses of vertices of 24 tetrahedra"},
{"tetrahedra_integration_weight", py_thm_integration_weight,
METH_VARARGS, "Integration weight for tetrahedron method"},
{"tetrahedra_integration_weight_at_omegas",
py_thm_integration_weight_at_omegas,
METH_VARARGS, "Integration weight for tetrahedron method at omegas"},
{"tetrahedra_frequencies", py_get_tetrahedra_frequenies,
METH_VARARGS, "Run tetrahedron method"},
{"tetrahedron_method_dos", py_tetrahedron_method_dos,
METH_VARARGS, "Run tetrahedron method"},
{NULL, NULL, 0, NULL}
};
#if PY_MAJOR_VERSION >= 3
static int _phonopy_traverse(PyObject *m, visitproc visit, void *arg) {
Py_VISIT(GETSTATE(m)->error);
return 0;
}
static int _phonopy_clear(PyObject *m) {
Py_CLEAR(GETSTATE(m)->error);
return 0;
}
static struct PyModuleDef moduledef = {
PyModuleDef_HEAD_INIT,
"_phonopy",
NULL,
sizeof(struct module_state),
_phonopy_methods,
NULL,
_phonopy_traverse,
_phonopy_clear,
NULL
};
#define INITERROR return NULL
PyObject *
PyInit__phonopy(void)
#else
#define INITERROR return
void
init_phonopy(void)
#endif
{
#if PY_MAJOR_VERSION >= 3
PyObject *module = PyModule_Create(&moduledef);
#else
PyObject *module = Py_InitModule("_phonopy", _phonopy_methods);
#endif
struct module_state *st;
if (module == NULL)
INITERROR;
st = GETSTATE(module);
st->error = PyErr_NewException("_phonopy.Error", NULL, NULL);
if (st->error == NULL) {
Py_DECREF(module);
INITERROR;
}
#if PY_MAJOR_VERSION >= 3
return module;
#endif
}
static PyObject * py_transform_dynmat_to_fc(PyObject *self, PyObject *args)
{
PyArrayObject* py_force_constants;
PyArrayObject* py_dynamical_matrices;
PyArrayObject* py_commensurate_points;
PyArrayObject* py_shortest_vectors;
PyArrayObject* py_multiplicities;
PyArrayObject* py_masses;
PyArrayObject* py_s2pp_map;
PyArrayObject* py_fc_index_map;
double* fc;
double* dm;
double (*comm_points)[3];
double (*shortest_vectors)[27][3];
double* masses;
int* multiplicities;
int* s2pp_map;
int* fc_index_map;
int num_patom;
int num_satom;
if (!PyArg_ParseTuple(args, "OOOOOOOO",
&py_force_constants,
&py_dynamical_matrices,
&py_commensurate_points,
&py_shortest_vectors,
&py_multiplicities,
&py_masses,
&py_s2pp_map,
&py_fc_index_map)) {
return NULL;
}
fc = (double*)PyArray_DATA(py_force_constants);
dm = (double*)PyArray_DATA(py_dynamical_matrices);
comm_points = (double(*)[3])PyArray_DATA(py_commensurate_points);
shortest_vectors = (double(*)[27][3])PyArray_DATA(py_shortest_vectors);
masses = (double*)PyArray_DATA(py_masses);
multiplicities = (int*)PyArray_DATA(py_multiplicities);
s2pp_map = (int*)PyArray_DATA(py_s2pp_map);
fc_index_map = (int*)PyArray_DATA(py_fc_index_map);
num_patom = PyArray_DIMS(py_multiplicities)[1];
num_satom = PyArray_DIMS(py_multiplicities)[0];
phpy_transform_dynmat_to_fc(fc,
dm,
comm_points,
shortest_vectors,
multiplicities,
masses,
s2pp_map,
fc_index_map,
num_patom,
num_satom);
Py_RETURN_NONE;
}
static PyObject * py_compute_permutation(PyObject *self, PyObject *args)
{
PyArrayObject* permutation;
PyArrayObject* lattice;
PyArrayObject* positions;
PyArrayObject* permuted_positions;
double symprec;
int* rot_atoms;
double (*lat)[3];
double (*pos)[3];
double (*rot_pos)[3];
int num_pos;
int is_found;
if (!PyArg_ParseTuple(args, "OOOOd",
&permutation,
&lattice,
&positions,
&permuted_positions,
&symprec)) {
return NULL;
}
rot_atoms = (int*)PyArray_DATA(permutation);
lat = (double(*)[3])PyArray_DATA(lattice);
pos = (double(*)[3])PyArray_DATA(positions);
rot_pos = (double(*)[3])PyArray_DATA(permuted_positions);
num_pos = PyArray_DIMS(positions)[0];
is_found = phpy_compute_permutation(rot_atoms,
lat,
pos,
rot_pos,
num_pos,
symprec);
if (is_found) {
Py_RETURN_TRUE;
} else {
Py_RETURN_FALSE;
}
}
static PyObject *
py_gsv_set_smallest_vectors_sparse(PyObject *self, PyObject *args)
{
PyArrayObject* py_smallest_vectors;
PyArrayObject* py_multiplicity;
PyArrayObject* py_pos_to;
PyArrayObject* py_pos_from;
PyArrayObject* py_lattice_points;
PyArrayObject* py_reduced_basis;
PyArrayObject* py_trans_mat;
double symprec;
double (*smallest_vectors)[27][3];
int * multiplicity;
double (*pos_to)[3];
double (*pos_from)[3];
int (*lattice_points)[3];
double (*reduced_basis)[3];
int (*trans_mat)[3];
int num_pos_to, num_pos_from, num_lattice_points;
if (!PyArg_ParseTuple(args, "OOOOOOOd",
&py_smallest_vectors,
&py_multiplicity,
&py_pos_to,
&py_pos_from,
&py_lattice_points,
&py_reduced_basis,
&py_trans_mat,
&symprec)) {
return NULL;
}
smallest_vectors = (double(*)[27][3])PyArray_DATA(py_smallest_vectors);
multiplicity = (int*)PyArray_DATA(py_multiplicity);
pos_to = (double(*)[3])PyArray_DATA(py_pos_to);
pos_from = (double(*)[3])PyArray_DATA(py_pos_from);
num_pos_to = PyArray_DIMS(py_pos_to)[0];
num_pos_from = PyArray_DIMS(py_pos_from)[0];
lattice_points = (int(*)[3])PyArray_DATA(py_lattice_points);
num_lattice_points = PyArray_DIMS(py_lattice_points)[0];
reduced_basis = (double(*)[3])PyArray_DATA(py_reduced_basis);
trans_mat = (int(*)[3])PyArray_DATA(py_trans_mat);
phpy_set_smallest_vectors_sparse(smallest_vectors,
multiplicity,
pos_to,
num_pos_to,
pos_from,
num_pos_from,
lattice_points,
num_lattice_points,
reduced_basis,
trans_mat,
symprec);
Py_RETURN_NONE;
}
static PyObject *
py_gsv_set_smallest_vectors_dense(PyObject *self, PyObject *args)
{
PyArrayObject* py_smallest_vectors;
PyArrayObject* py_multiplicity;
PyArrayObject* py_pos_to;
PyArrayObject* py_pos_from;
PyArrayObject* py_lattice_points;
PyArrayObject* py_reduced_basis;
PyArrayObject* py_trans_mat;
long initialize;
double symprec;
double (*smallest_vectors)[3];
long (*multiplicity)[2];
double (*pos_to)[3];
double (*pos_from)[3];
long (*lattice_points)[3];
double (*reduced_basis)[3];
long (*trans_mat)[3];
long num_pos_to, num_pos_from, num_lattice_points;
if (!PyArg_ParseTuple(args, "OOOOOOOld",
&py_smallest_vectors,
&py_multiplicity,
&py_pos_to,
&py_pos_from,
&py_lattice_points,
&py_reduced_basis,
&py_trans_mat,
&initialize,
&symprec)) {
return NULL;
}
smallest_vectors = (double(*)[3])PyArray_DATA(py_smallest_vectors);
multiplicity = (long(*)[2])PyArray_DATA(py_multiplicity);
pos_to = (double(*)[3])PyArray_DATA(py_pos_to);
pos_from = (double(*)[3])PyArray_DATA(py_pos_from);
num_pos_to = PyArray_DIMS(py_pos_to)[0];
num_pos_from = PyArray_DIMS(py_pos_from)[0];
lattice_points = (long(*)[3])PyArray_DATA(py_lattice_points);
num_lattice_points = PyArray_DIMS(py_lattice_points)[0];
reduced_basis = (double(*)[3])PyArray_DATA(py_reduced_basis);
trans_mat = (long(*)[3])PyArray_DATA(py_trans_mat);
phpy_set_smallest_vectors_dense(smallest_vectors,
multiplicity,
pos_to,
num_pos_to,
pos_from,
num_pos_from,
lattice_points,
num_lattice_points,
reduced_basis,
trans_mat,
initialize,
symprec);
Py_RETURN_NONE;
}
static PyObject * py_perm_trans_symmetrize_fc(PyObject *self, PyObject *args)
{
PyArrayObject* py_fc;
double *fc;
int level;
int n_satom;
if (!PyArg_ParseTuple(args, "Oi", &py_fc, &level)) {
return NULL;
}
fc = (double*)PyArray_DATA(py_fc);
n_satom = PyArray_DIMS(py_fc)[0];
phpy_perm_trans_symmetrize_fc(fc, n_satom, level);
Py_RETURN_NONE;
}
static PyObject *
py_perm_trans_symmetrize_compact_fc(PyObject *self, PyObject *args)
{
PyArrayObject* py_fc;
PyArrayObject* py_permutations;
PyArrayObject* py_s2pp_map;
PyArrayObject* py_p2s_map;
PyArrayObject* py_nsym_list;
int level;
double *fc;
int *perms;
int *s2pp;
int *p2s;
int *nsym_list;
int n_patom, n_satom;
if (!PyArg_ParseTuple(args, "OOOOOi",
&py_fc,
&py_permutations,
&py_s2pp_map,
&py_p2s_map,
&py_nsym_list,
&level)) {
return NULL;
}
fc = (double*)PyArray_DATA(py_fc);
perms = (int*)PyArray_DATA(py_permutations);
s2pp = (int*)PyArray_DATA(py_s2pp_map);
p2s = (int*)PyArray_DATA(py_p2s_map);
nsym_list = (int*)PyArray_DATA(py_nsym_list);
n_patom = PyArray_DIMS(py_fc)[0];
n_satom = PyArray_DIMS(py_fc)[1];
phpy_perm_trans_symmetrize_compact_fc(
fc, p2s, s2pp, nsym_list, perms, n_satom, n_patom, level);
Py_RETURN_NONE;
}
static PyObject * py_transpose_compact_fc(PyObject *self, PyObject *args)
{
PyArrayObject* py_fc;
PyArrayObject* py_permutations;
PyArrayObject* py_s2pp_map;
PyArrayObject* py_p2s_map;
PyArrayObject* py_nsym_list;
double *fc;
int *s2pp;
int *p2s;
int *nsym_list;
int *perms;
int n_patom, n_satom;
if (!PyArg_ParseTuple(args, "OOOOO",
&py_fc,
&py_permutations,
&py_s2pp_map,
&py_p2s_map,
&py_nsym_list)) {
return NULL;
}
fc = (double*)PyArray_DATA(py_fc);
perms = (int*)PyArray_DATA(py_permutations);
s2pp = (int*)PyArray_DATA(py_s2pp_map);
p2s = (int*)PyArray_DATA(py_p2s_map);
nsym_list = (int*)PyArray_DATA(py_nsym_list);
n_patom = PyArray_DIMS(py_fc)[0];
n_satom = PyArray_DIMS(py_fc)[1];
phpy_set_index_permutation_symmetry_compact_fc(fc,
p2s,
s2pp,
nsym_list,
perms,
n_satom,
n_patom,
1);
Py_RETURN_NONE;
}
static PyObject * py_get_dynamical_matrix(PyObject *self, PyObject *args)
{
PyArrayObject* py_dynamical_matrix;
PyArrayObject* py_force_constants;
PyArrayObject* py_shortest_vectors;
PyArrayObject* py_q;
PyArrayObject* py_multiplicities;
PyArrayObject* py_masses;
PyArrayObject* py_s2p_map;
PyArrayObject* py_p2s_map;
double* dm;
double* fc;
double* q;
double (*svecs)[27][3];
double* m;
int* multi;
int* s2p_map;
int* p2s_map;
int num_patom;
int num_satom;
if (!PyArg_ParseTuple(args, "OOOOOOOO",
&py_dynamical_matrix,
&py_force_constants,
&py_q,
&py_shortest_vectors,
&py_multiplicities,
&py_masses,
&py_s2p_map,
&py_p2s_map)) {
return NULL;
}
dm = (double*)PyArray_DATA(py_dynamical_matrix);
fc = (double*)PyArray_DATA(py_force_constants);
q = (double*)PyArray_DATA(py_q);
svecs = (double(*)[27][3])PyArray_DATA(py_shortest_vectors);
m = (double*)PyArray_DATA(py_masses);
multi = (int*)PyArray_DATA(py_multiplicities);
s2p_map = (int*)PyArray_DATA(py_s2p_map);
p2s_map = (int*)PyArray_DATA(py_p2s_map);
num_patom = PyArray_DIMS(py_p2s_map)[0];
num_satom = PyArray_DIMS(py_s2p_map)[0];
phpy_get_dynamical_matrix_at_q(dm,
num_patom,
num_satom,
fc,
q,
svecs,
multi,
m,
s2p_map,
p2s_map,
NULL,
1);
Py_RETURN_NONE;
}
static PyObject * py_get_nac_dynamical_matrix(PyObject *self, PyObject *args)
{
PyArrayObject* py_dynamical_matrix;
PyArrayObject* py_force_constants;
PyArrayObject* py_shortest_vectors;
PyArrayObject* py_q_cart;
PyArrayObject* py_q;
PyArrayObject* py_multiplicities;
PyArrayObject* py_masses;
PyArrayObject* py_s2p_map;
PyArrayObject* py_p2s_map;
PyArrayObject* py_born;
double factor;
double* dm;
double* fc;
double* q_cart;
double* q;
double (*svecs)[27][3];
double* m;
double (*born)[3][3];
int* multi;
int* s2p_map;
int* p2s_map;
int num_patom;
int num_satom;
int n;
double (*charge_sum)[3][3];
if (!PyArg_ParseTuple(args, "OOOOOOOOOOd",
&py_dynamical_matrix,
&py_force_constants,
&py_q,
&py_shortest_vectors,
&py_multiplicities,
&py_masses,
&py_s2p_map,
&py_p2s_map,
&py_q_cart,
&py_born,
&factor))
return NULL;
dm = (double*)PyArray_DATA(py_dynamical_matrix);
fc = (double*)PyArray_DATA(py_force_constants);
q_cart = (double*)PyArray_DATA(py_q_cart);
q = (double*)PyArray_DATA(py_q);
svecs = (double(*)[27][3])PyArray_DATA(py_shortest_vectors);
m = (double*)PyArray_DATA(py_masses);
born = (double(*)[3][3])PyArray_DATA(py_born);
multi = (int*)PyArray_DATA(py_multiplicities);
s2p_map = (int*)PyArray_DATA(py_s2p_map);
p2s_map = (int*)PyArray_DATA(py_p2s_map);
num_patom = PyArray_DIMS(py_p2s_map)[0];
num_satom = PyArray_DIMS(py_s2p_map)[0];
charge_sum = (double(*)[3][3])
malloc(sizeof(double[3][3]) * num_patom * num_patom);
n = num_satom / num_patom;
phpy_get_charge_sum(charge_sum, num_patom, factor / n, q_cart, born);
phpy_get_dynamical_matrix_at_q(dm,
num_patom,
num_satom,
fc,
q,
svecs,
multi,
m,
s2p_map,
p2s_map,
charge_sum,
1);
free(charge_sum);
Py_RETURN_NONE;
}
static PyObject * py_get_recip_dipole_dipole(PyObject *self, PyObject *args)
{
PyArrayObject* py_dd;
PyArrayObject* py_dd_q0;
PyArrayObject* py_G_list;
PyArrayObject* py_q_cart;
PyArrayObject* py_q_direction;
PyArrayObject* py_born;
PyArrayObject* py_dielectric;
PyArrayObject* py_positions;
double factor;
double lambda;
double tolerance;
double* dd;
double* dd_q0;
double (*G_list)[3];
double* q_vector;
double* q_direction;
double (*born)[3][3];
double (*dielectric)[3];
double (*pos)[3];
int num_patom, num_G;
if (!PyArg_ParseTuple(args, "OOOOOOOOddd",
&py_dd,
&py_dd_q0,
&py_G_list,
&py_q_cart,
&py_q_direction,
&py_born,
&py_dielectric,
&py_positions,
&factor,
&lambda,
&tolerance))
return NULL;
dd = (double*)PyArray_DATA(py_dd);
dd_q0 = (double*)PyArray_DATA(py_dd_q0);
G_list = (double(*)[3])PyArray_DATA(py_G_list);
if ((PyObject*)py_q_direction == Py_None) {
q_direction = NULL;
} else {
q_direction = (double*)PyArray_DATA(py_q_direction);
}
q_vector = (double*)PyArray_DATA(py_q_cart);
born = (double(*)[3][3])PyArray_DATA(py_born);
dielectric = (double(*)[3])PyArray_DATA(py_dielectric);
pos = (double(*)[3])PyArray_DATA(py_positions);
num_G = PyArray_DIMS(py_G_list)[0];
num_patom = PyArray_DIMS(py_positions)[0];
phpy_get_recip_dipole_dipole(dd, /* [natom, 3, natom, 3, (real, imag)] */
dd_q0, /* [natom, 3, 3, (real, imag)] */
G_list, /* [num_kvec, 3] */
num_G,
num_patom,
q_vector,
q_direction,
born,
dielectric,
pos, /* [natom, 3] */
factor, /* 4pi/V*unit-conv */
lambda, /* 4 * Lambda^2 */
tolerance);
Py_RETURN_NONE;
}
static PyObject * py_get_recip_dipole_dipole_q0(PyObject *self, PyObject *args)
{
PyArrayObject* py_dd_q0;
PyArrayObject* py_G_list;
PyArrayObject* py_born;
PyArrayObject* py_dielectric;
PyArrayObject* py_positions;
double lambda;
double tolerance;
double* dd_q0;
double (*G_list)[3];
double (*born)[3][3];
double (*dielectric)[3];
double (*pos)[3];
int num_patom, num_G;
if (!PyArg_ParseTuple(args, "OOOOOdd",
&py_dd_q0,
&py_G_list,
&py_born,
&py_dielectric,
&py_positions,
&lambda,
&tolerance))
return NULL;
dd_q0 = (double*)PyArray_DATA(py_dd_q0);
G_list = (double(*)[3])PyArray_DATA(py_G_list);
born = (double(*)[3][3])PyArray_DATA(py_born);
dielectric = (double(*)[3])PyArray_DATA(py_dielectric);
pos = (double(*)[3])PyArray_DATA(py_positions);
num_G = PyArray_DIMS(py_G_list)[0];
num_patom = PyArray_DIMS(py_positions)[0];
phpy_get_recip_dipole_dipole_q0(dd_q0, /* [natom, 3, 3, (real, imag)] */
G_list, /* [num_kvec, 3] */
num_G,
num_patom,
born,
dielectric,
pos, /* [natom, 3] */
lambda, /* 4 * Lambda^2 */
tolerance);
Py_RETURN_NONE;
}
static PyObject * py_get_derivative_dynmat(PyObject *self, PyObject *args)
{
PyArrayObject* derivative_dynmat;
PyArrayObject* py_force_constants;
PyArrayObject* r_vector;
PyArrayObject* lattice;
PyArrayObject* q_vector;
PyArrayObject* py_multiplicities;
PyArrayObject* py_masses;
PyArrayObject* py_s2p_map;
PyArrayObject* py_p2s_map;
PyArrayObject* py_born;
PyArrayObject* dielectric;
PyArrayObject* q_direction;
double nac_factor;
double* ddm;
double* fc;
double* q;
double* lat;
double* r;
double* m;
int* multi;
int* s2p_map;
int* p2s_map;
int num_patom;
int num_satom;
double *z;
double *epsilon;
double *q_dir;
if (!PyArg_ParseTuple(args, "OOOOOOOOOdOOO",
&derivative_dynmat,
&py_force_constants,
&q_vector,
&lattice, /* column vectors */
&r_vector,
&py_multiplicities,
&py_masses,
&py_s2p_map,
&py_p2s_map,
&nac_factor,
&py_born,
&dielectric,
&q_direction)) {
return NULL;
}
ddm = (double*)PyArray_DATA(derivative_dynmat);
fc = (double*)PyArray_DATA(py_force_constants);
q = (double*)PyArray_DATA(q_vector);
lat = (double*)PyArray_DATA(lattice);
r = (double*)PyArray_DATA(r_vector);
m = (double*)PyArray_DATA(py_masses);
multi = (int*)PyArray_DATA(py_multiplicities);
s2p_map = (int*)PyArray_DATA(py_s2p_map);
p2s_map = (int*)PyArray_DATA(py_p2s_map);
num_patom = PyArray_DIMS(py_p2s_map)[0];
num_satom = PyArray_DIMS(py_s2p_map)[0];
if ((PyObject*)py_born == Py_None) {
z = NULL;
} else {
z = (double*)PyArray_DATA(py_born);
}
if ((PyObject*)dielectric == Py_None) {
epsilon = NULL;
} else {
epsilon = (double*)PyArray_DATA(dielectric);
}
if ((PyObject*)q_direction == Py_None) {
q_dir = NULL;
} else {
q_dir = (double*)PyArray_DATA(q_direction);
}
phpy_get_derivative_dynmat_at_q(ddm,
num_patom,
num_satom,
fc,
q,
lat,
r,
multi,
m,
s2p_map,
p2s_map,
nac_factor,
z,
epsilon,
q_dir);
Py_RETURN_NONE;
}
/* Thermal properties */
static PyObject * py_get_thermal_properties(PyObject *self, PyObject *args)
{
PyArrayObject* py_thermal_props;
PyArrayObject* py_temperatures;
PyArrayObject* py_frequencies;
PyArrayObject* py_weights;
double cutoff_frequency;
double *temperatures;
double* freqs;
double *thermal_props;
long* weights;
long num_qpoints;
long num_bands;
long num_temp;
if (!PyArg_ParseTuple(args, "OOOOd",
&py_thermal_props,
&py_temperatures,
&py_frequencies,
&py_weights,
&cutoff_frequency)) {
return NULL;
}
thermal_props = (double*)PyArray_DATA(py_thermal_props);
temperatures = (double*)PyArray_DATA(py_temperatures);
num_temp = (long)PyArray_DIMS(py_temperatures)[0];
freqs = (double*)PyArray_DATA(py_frequencies);
num_qpoints = (long)PyArray_DIMS(py_frequencies)[0];
weights = (long*)PyArray_DATA(py_weights);
num_bands = (long)PyArray_DIMS(py_frequencies)[1];
phpy_get_thermal_properties(thermal_props,
temperatures,
freqs,
weights,
num_temp,
num_qpoints,
num_bands,
cutoff_frequency);
Py_RETURN_NONE;
}
static PyObject * py_distribute_fc2(PyObject *self, PyObject *args)
{
PyArrayObject* py_force_constants;
PyArrayObject* py_permutations;
PyArrayObject* py_map_atoms;
PyArrayObject* py_map_syms;
PyArrayObject* py_atom_list;
PyArrayObject* py_rotations_cart;
double (*r_carts)[3][3];
double (*fc2)[3][3];
int *permutations;
int *map_atoms;
int *map_syms;
int *atom_list;
npy_intp num_pos, num_rot, len_atom_list;
if (!PyArg_ParseTuple(args, "OOOOOO",
&py_force_constants,
&py_atom_list,
&py_rotations_cart,
&py_permutations,
&py_map_atoms,
&py_map_syms)) {
return NULL;
}
fc2 = (double(*)[3][3])PyArray_DATA(py_force_constants);
atom_list = (int*)PyArray_DATA(py_atom_list);
len_atom_list = PyArray_DIMS(py_atom_list)[0];
permutations = (int*)PyArray_DATA(py_permutations);
map_atoms = (int*)PyArray_DATA(py_map_atoms);
map_syms = (int*)PyArray_DATA(py_map_syms);
r_carts = (double(*)[3][3])PyArray_DATA(py_rotations_cart);
num_rot = PyArray_DIMS(py_permutations)[0];
num_pos = PyArray_DIMS(py_permutations)[1];
if (PyArray_NDIM(py_map_atoms) != 1 || PyArray_DIMS(py_map_atoms)[0] != num_pos)
{
PyErr_SetString(PyExc_ValueError, "wrong shape for map_atoms");
return NULL;
}
if (PyArray_NDIM(py_map_syms) != 1 || PyArray_DIMS(py_map_syms)[0] != num_pos)
{
PyErr_SetString(PyExc_ValueError, "wrong shape for map_syms");
return NULL;
}
if (PyArray_DIMS(py_rotations_cart)[0] != num_rot)
{
PyErr_SetString(PyExc_ValueError, "permutations and rotations are different length");
return NULL;
}
phpy_distribute_fc2(fc2,
atom_list,
len_atom_list,
r_carts,
permutations,
map_atoms,
map_syms,
num_rot,
num_pos);
Py_RETURN_NONE;
}
static PyObject *
py_thm_relative_grid_address(PyObject *self, PyObject *args)
{
PyArrayObject* py_relative_grid_address;
PyArrayObject* py_reciprocal_lattice_py;
long (*relative_grid_address)[4][3];
double (*reciprocal_lattice)[3];
if (!PyArg_ParseTuple(args, "OO",
&py_relative_grid_address,
&py_reciprocal_lattice_py)) {
return NULL;
}
relative_grid_address = (long(*)[4][3])PyArray_DATA(py_relative_grid_address);
reciprocal_lattice = (double(*)[3])PyArray_DATA(py_reciprocal_lattice_py);
phpy_get_relative_grid_address(relative_grid_address, reciprocal_lattice);
Py_RETURN_NONE;
}
static PyObject *
py_thm_all_relative_grid_address(PyObject *self, PyObject *args)
{
PyArrayObject* py_relative_grid_address;
long (*relative_grid_address)[24][4][3];
if (!PyArg_ParseTuple(args, "O",
&py_relative_grid_address)) {
return NULL;
}
relative_grid_address =
(long(*)[24][4][3])PyArray_DATA(py_relative_grid_address);
phpy_get_all_relative_grid_address(relative_grid_address);
Py_RETURN_NONE;
}
static PyObject *
py_thm_integration_weight(PyObject *self, PyObject *args)
{
double omega;
PyArrayObject* py_tetrahedra_omegas;
char* function;
double (*tetrahedra_omegas)[4];
double iw;
if (!PyArg_ParseTuple(args, "dOs",
&omega,
&py_tetrahedra_omegas,
&function)) {
return NULL;
}
tetrahedra_omegas = (double(*)[4])PyArray_DATA(py_tetrahedra_omegas);
iw = phpy_get_integration_weight(omega,
tetrahedra_omegas,
function[0]);
return PyFloat_FromDouble(iw);
}
static PyObject *
py_thm_integration_weight_at_omegas(PyObject *self, PyObject *args)
{
PyArrayObject* py_integration_weights;
PyArrayObject* py_omegas;
PyArrayObject* py_tetrahedra_omegas;
char* function;
double *omegas;
double *iw;
long num_omegas;
double (*tetrahedra_omegas)[4];
long i;
if (!PyArg_ParseTuple(args, "OOOs",
&py_integration_weights,
&py_omegas,
&py_tetrahedra_omegas,
&function)) {
return NULL;
}
omegas = (double*)PyArray_DATA(py_omegas);
iw = (double*)PyArray_DATA(py_integration_weights);
num_omegas = (long)PyArray_DIMS(py_omegas)[0];
tetrahedra_omegas = (double(*)[4])PyArray_DATA(py_tetrahedra_omegas);
#pragma omp parallel for
for (i = 0; i < num_omegas; i++) {
iw[i] = phpy_get_integration_weight(omegas[i],
tetrahedra_omegas,
function[0]);
}
Py_RETURN_NONE;
}
static PyObject * py_get_tetrahedra_frequenies(PyObject *self, PyObject *args)
{
PyArrayObject* py_freq_tetras;
PyArrayObject* py_grid_points;
PyArrayObject* py_mesh;
PyArrayObject* py_grid_address;
PyArrayObject* py_gp_ir_index;
PyArrayObject* py_relative_grid_address;
PyArrayObject* py_frequencies;
double* freq_tetras;
long* grid_points;
long* mesh;
long (*grid_address)[3];
long* gp_ir_index;
long (*relative_grid_address)[3];
double* frequencies;
long num_gp_in, num_band;
if (!PyArg_ParseTuple(args, "OOOOOOO",
&py_freq_tetras,
&py_grid_points,
&py_mesh,
&py_grid_address,
&py_gp_ir_index,
&py_relative_grid_address,
&py_frequencies)) {
return NULL;
}
freq_tetras = (double*)PyArray_DATA(py_freq_tetras);
grid_points = (long*)PyArray_DATA(py_grid_points);
num_gp_in = PyArray_DIMS(py_grid_points)[0];
mesh = (long*)PyArray_DATA(py_mesh);
grid_address = (long(*)[3])PyArray_DATA(py_grid_address);
gp_ir_index = (long*)PyArray_DATA(py_gp_ir_index);
relative_grid_address = (long(*)[3])PyArray_DATA(py_relative_grid_address);
frequencies = (double*)PyArray_DATA(py_frequencies);
num_band = PyArray_DIMS(py_frequencies)[1];
phpy_get_tetrahedra_frequenies(freq_tetras,
mesh,
grid_points,
grid_address,
relative_grid_address,
gp_ir_index,
frequencies,
num_band,
num_gp_in);
Py_RETURN_NONE;
}
static PyObject * py_tetrahedron_method_dos(PyObject *self, PyObject *args)
{
PyArrayObject* py_dos;
PyArrayObject* py_mesh;
PyArrayObject* py_freq_points;
PyArrayObject* py_frequencies;
PyArrayObject* py_coef;
PyArrayObject* py_grid_address;
PyArrayObject* py_grid_mapping_table;
PyArrayObject* py_relative_grid_address;
double *dos;
long* mesh;
double* freq_points;
double* frequencies;
double* coef;
long (*grid_address)[3];
long num_gp, num_ir_gp, num_band, num_freq_points, num_coef;
long *grid_mapping_table;
long (*relative_grid_address)[4][3];
if (!PyArg_ParseTuple(args, "OOOOOOOO",
&py_dos,
&py_mesh,
&py_freq_points,
&py_frequencies,
&py_coef,
&py_grid_address,
&py_grid_mapping_table,
&py_relative_grid_address)) {
return NULL;
}
/* dos[num_ir_gp][num_band][num_freq_points][num_coef] */
dos = (double*)PyArray_DATA(py_dos);
mesh = (long*)PyArray_DATA(py_mesh);
freq_points = (double*)PyArray_DATA(py_freq_points);
num_freq_points = (long)PyArray_DIMS(py_freq_points)[0];
frequencies = (double*)PyArray_DATA(py_frequencies);
num_ir_gp = (long)PyArray_DIMS(py_frequencies)[0];
num_band = (long)PyArray_DIMS(py_frequencies)[1];
coef = (double*)PyArray_DATA(py_coef);
num_coef = (long)PyArray_DIMS(py_coef)[1];
grid_address = (long(*)[3])PyArray_DATA(py_grid_address);
num_gp = (long)PyArray_DIMS(py_grid_address)[0];
grid_mapping_table = (long*)PyArray_DATA(py_grid_mapping_table);
relative_grid_address = (long(*)[4][3])PyArray_DATA(py_relative_grid_address);
phpy_tetrahedron_method_dos(dos,
mesh,
grid_address,
relative_grid_address,
grid_mapping_table,
freq_points,
frequencies,
coef,
num_freq_points,
num_ir_gp,
num_band,
num_coef,
num_gp);
Py_RETURN_NONE;
}
|
omp_parallel_for_ordered.c | <ompts:test>
<ompts:testdescription>Test which checks the omp parallel for ordered directive</ompts:testdescription>
<ompts:ompversion>2.0</ompts:ompversion>
<ompts:directive>omp parallel for ordered</ompts:directive>
<ompts:dependences>omp parallel schedule(static)</ompts:dependences>
<ompts:testcode>
#include <stdio.h>
#include "omp_testsuite.h"
static int last_i = 0;
int i;
#pragma omp threadprivate(i)
/* Variable ii is used to avoid problems with a threadprivate variable used as a loop
* index. See test omp_threadprivate_for.
*/
static int ii;
#pragma omp threadprivate(ii)
/*!
Utility function: returns true if the passed argument is larger than
the argument of the last call of this function.
*/
static int check_i_islarger2 (int i){
int islarger;
islarger = (i > last_i);
last_i = i;
return (islarger);
}
int <ompts:testcode:functionname>omp_parallel_for_ordered</ompts:testcode:functionname>(FILE * logFile){
<ompts:orphan:vars>
int sum;
int is_larger;
</ompts:orphan:vars>
int known_sum;
int i;
sum = 0;
is_larger = 1;
last_i = 0;
#pragma omp parallel for schedule(static,1) private(i) <ompts:check>ordered</ompts:check>
for (i = 1; i < 100; i++)
{
ii = i;
<ompts:orphan>
<ompts:check>#pragma omp ordered</ompts:check><ompts:crosscheck></ompts:crosscheck>
{
is_larger = check_i_islarger2 (ii) && is_larger;
sum = sum + ii;
}
</ompts:orphan>
}
known_sum = (99 * 100) / 2;
fprintf (logFile," known_sum = %d , sum = %d \n", known_sum, sum);
fprintf (logFile," is_larger = %d\n", is_larger);
return (known_sum == sum) && is_larger;
}
</ompts:testcode>
</ompts:test>
|
GB_binop__cmplx_fp32.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__cmplx_fp32)
// A.*B function (eWiseMult): GB (_AemultB_08__cmplx_fp32)
// A.*B function (eWiseMult): GB (_AemultB_02__cmplx_fp32)
// A.*B function (eWiseMult): GB (_AemultB_04__cmplx_fp32)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__cmplx_fp32)
// A*D function (colscale): GB ((none))
// D*A function (rowscale): GB ((none))
// C+=B function (dense accum): GB (_Cdense_accumB__cmplx_fp32)
// C+=b function (dense accum): GB (_Cdense_accumb__cmplx_fp32)
// C+=A+B function (dense ewise3): GB ((none))
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__cmplx_fp32)
// C=scalar+B GB (_bind1st__cmplx_fp32)
// C=scalar+B' GB (_bind1st_tran__cmplx_fp32)
// C=A+scalar GB (_bind2nd__cmplx_fp32)
// C=A'+scalar GB (_bind2nd_tran__cmplx_fp32)
// C type: GxB_FC32_t
// A type: float
// A pattern? 0
// B type: float
// B pattern? 0
// BinaryOp: cij = GxB_CMPLXF (aij, bij)
#define GB_ATYPE \
float
#define GB_BTYPE \
float
#define GB_CTYPE \
GxB_FC32_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 \
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) \
float 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) \
float 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_FC32_t t
// cij = Ax [pA]
#define GB_COPY_A_TO_C(cij,Ax,pA,A_iso) \
cij = GxB_CMPLXF (GBX (Ax, pA, A_iso), 0)
// cij = Bx [pB]
#define GB_COPY_B_TO_C(cij,Bx,pB,B_iso) \
cij = GxB_CMPLXF (GBX (Bx, pB, B_iso), 0)
#define GB_CX(p) Cx [p]
// binary operator
#define GB_BINOP(z,x,y,i,j) \
z = GxB_CMPLXF (x, y) ;
// true if the binop must be flipped
#define GB_BINOP_FLIP \
1
// 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_CMPLX || GxB_NO_FP32 || GxB_NO_CMPLX_FP32)
//------------------------------------------------------------------------------
// 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__cmplx_fp32)
(
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__cmplx_fp32)
(
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__cmplx_fp32)
(
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 float
float bwork = (*((float *) 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
//------------------------------------------------------------------------------
#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
GxB_FC32_t *restrict Cx = (GxB_FC32_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
GxB_FC32_t *restrict Cx = (GxB_FC32_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__cmplx_fp32)
(
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) ;
float alpha_scalar ;
float beta_scalar ;
if (is_eWiseUnion)
{
alpha_scalar = (*((float *) alpha_scalar_in)) ;
beta_scalar = (*((float *) 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__cmplx_fp32)
(
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__cmplx_fp32)
(
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__cmplx_fp32)
(
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__cmplx_fp32)
(
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__cmplx_fp32)
(
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_FC32_t *Cx = (GxB_FC32_t *) Cx_output ;
float x = (*((float *) x_input)) ;
float *Bx = (float *) 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 ;
float bij = GBX (Bx, p, false) ;
Cx [p] = GxB_CMPLXF (x, bij) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB (_bind2nd__cmplx_fp32)
(
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_FC32_t *Cx = (GxB_FC32_t *) Cx_output ;
float *Ax = (float *) Ax_input ;
float y = (*((float *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
float aij = GBX (Ax, p, false) ;
Cx [p] = GxB_CMPLXF (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) \
{ \
float aij = GBX (Ax, pA, false) ; \
Cx [pC] = GxB_CMPLXF (x, aij) ; \
}
GrB_Info GB (_bind1st_tran__cmplx_fp32)
(
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 \
float
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
float x = (*((const float *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
float
}
//------------------------------------------------------------------------------
// 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) \
{ \
float aij = GBX (Ax, pA, false) ; \
Cx [pC] = GxB_CMPLXF (aij, y) ; \
}
GrB_Info GB (_bind2nd_tran__cmplx_fp32)
(
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
float y = (*((const float *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
hypre_smp_forloop.h | /*BHEADER**********************************************************************
* (c) 1998 The Regents of the University of California
*
* See the file COPYRIGHT_and_DISCLAIMER for a complete copyright
* notice, contact person, and disclaimer.
*
* $Revision$
*********************************************************************EHEADER*/
/*****************************************************************************
* Wrapper code for SMP compiler directives. Translates
* hypre SMP directives into the appropriate Open MP,
* IBM, SGI, or pgcc (Red) SMP compiler directives.
****************************************************************************/
#ifndef HYPRE_SMP_PRIVATE
#define HYPRE_SMP_PRIVATE
#endif
#ifdef HYPRE_USING_OPENMP
#ifndef HYPRE_SMP_REDUCTION_OP
#pragma omp parallel for private(HYPRE_SMP_PRIVATE) schedule(static)
#endif
#ifdef HYPRE_SMP_REDUCTION_OP
#pragma omp parallel for private(HYPRE_SMP_PRIVATE) \
reduction(HYPRE_SMP_REDUCTION_OP: HYPRE_SMP_REDUCTION_VARS) \
schedule(static)
#endif
#endif
#ifdef HYPRE_USING_SGI_SMP
#pragma parallel
#pragma pfor
#pragma schedtype(gss)
#pragma chunksize(10)
#endif
#ifdef HYPRE_USING_IBM_SMP
#pragma parallel_loop
#pragma schedule (guided,10)
#endif
#ifdef HYPRE_USING_PGCC_SMP
#ifndef HYPRE_SMP_REDUCTION_OP
#pragma parallel local(HYPRE_SMP_PRIVATE) pfor
#endif
#ifdef HYPRE_SMP_REDUCTION_OP
#endif
#endif
#undef HYPRE_SMP_PRIVATE
#undef HYPRE_SMP_REDUCTION_OP
#undef HYPRE_SMP_REDUCTION_VARS
|
ast-dump-openmp-target-teams-distribute-parallel-for.c | // RUN: %clang_cc1 -triple x86_64-unknown-unknown -fopenmp -ast-dump %s | FileCheck --match-full-lines -implicit-check-not=openmp_structured_block %s
void test_one(int x) {
#pragma omp target teams distribute parallel for
for (int i = 0; i < x; i++)
;
}
void test_two(int x, int y) {
#pragma omp target teams distribute parallel for
for (int i = 0; i < x; i++)
for (int i = 0; i < y; i++)
;
}
void test_three(int x, int y) {
#pragma omp target teams distribute parallel for collapse(1)
for (int i = 0; i < x; i++)
for (int i = 0; i < y; i++)
;
}
void test_four(int x, int y) {
#pragma omp target teams distribute parallel for collapse(2)
for (int i = 0; i < x; i++)
for (int i = 0; i < y; i++)
;
}
void test_five(int x, int y, int z) {
#pragma omp target teams distribute parallel for collapse(2)
for (int i = 0; i < x; i++)
for (int i = 0; i < y; i++)
for (int i = 0; i < z; i++)
;
}
// CHECK: TranslationUnitDecl {{.*}} <<invalid sloc>> <invalid sloc>
// CHECK: |-FunctionDecl {{.*}} <{{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:3:1, line:7:1> line:3:6 test_one 'void (int)'
// CHECK-NEXT: | |-ParmVarDecl {{.*}} <col:15, col:19> col:19 used x 'int'
// CHECK-NEXT: | `-CompoundStmt {{.*}} <col:22, line:7:1>
// CHECK-NEXT: | `-OMPTargetTeamsDistributeParallelForDirective {{.*}} <line:4:1, col:49>
// CHECK-NEXT: | |-OMPFirstprivateClause {{.*}} <<invalid sloc>> <implicit>
// CHECK-NEXT: | | `-DeclRefExpr {{.*}} <line:5:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | `-CapturedStmt {{.*}} <col:3, line:6:5>
// CHECK-NEXT: | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | |-CapturedStmt {{.*}} <line:5:3, line:6:5>
// CHECK-NEXT: | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | |-CapturedStmt {{.*}} <line:5:3, line:6:5>
// CHECK-NEXT: | | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | | |-CapturedStmt {{.*}} <line:5:3, line:6:5>
// CHECK-NEXT: | | | | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | | | | |-ForStmt {{.*}} <line:5:3, line:6:5>
// CHECK-NEXT: | | | | | | | | | |-DeclStmt {{.*}} <line:5:8, col:17>
// CHECK-NEXT: | | | | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | | `-NullStmt {{.*}} <line:6:5>
// CHECK-NEXT: | | | | | | | | |-ImplicitParamDecl {{.*}} <line:4:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:4:1) *const restrict'
// CHECK-NEXT: | | | | | | | | `-VarDecl {{.*}} <line:5:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:3> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <line:4:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:4:1) *const restrict'
// CHECK-NEXT: | | | | | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | | | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | | | | | `-FieldDecl {{.*}} <line:5:3> col:3 implicit 'int'
// CHECK-NEXT: | | | | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | | | | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | | |-ForStmt {{.*}} <col:3, line:6:5>
// CHECK-NEXT: | | | | | | | |-DeclStmt {{.*}} <line:5:8, col:17>
// CHECK-NEXT: | | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-NullStmt {{.*}} <line:6:5>
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <line:4:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:4:1) *const restrict'
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <line:5:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:3> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <line:4:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:4:1) *const restrict'
// CHECK-NEXT: | | | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | | | `-FieldDecl {{.*}} <line:5:3> col:3 implicit 'int'
// CHECK-NEXT: | | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | |-CapturedStmt {{.*}} <col:3, line:6:5>
// CHECK-NEXT: | | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | | |-ForStmt {{.*}} <line:5:3, line:6:5>
// CHECK-NEXT: | | | | | | | |-DeclStmt {{.*}} <line:5:8, col:17>
// CHECK-NEXT: | | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-NullStmt {{.*}} <line:6:5>
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <line:4:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:4:1) *const restrict'
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <line:5:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:3> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <line:4:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:4:1) *const restrict'
// CHECK-NEXT: | | | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | | | `-FieldDecl {{.*}} <line:5:3> col:3 implicit 'int'
// CHECK-NEXT: | | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | |-ForStmt {{.*}} <col:3, line:6:5>
// CHECK-NEXT: | | | | | |-DeclStmt {{.*}} <line:5:8, col:17>
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-NullStmt {{.*}} <line:6:5>
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <line:4:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:4:1) *const restrict'
// CHECK-NEXT: | | | | `-VarDecl {{.*}} <line:5:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | `-DeclRefExpr {{.*}} <col:3> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | |-AlwaysInlineAttr {{.*}} <<invalid sloc>> Implicit __forceinline
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <line:4:1> col:1 implicit .global_tid. 'const int'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .part_id. 'const int *const restrict'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .privates. 'void *const restrict'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .copy_fn. 'void (*const restrict)(void *const restrict, ...)'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .task_t. 'void *const'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:4:1) *const restrict'
// CHECK-NEXT: | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | `-FieldDecl {{.*}} <line:5:3> col:3 implicit 'int'
// CHECK-NEXT: | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | |-CapturedStmt {{.*}} <col:3, line:6:5>
// CHECK-NEXT: | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | |-CapturedStmt {{.*}} <line:5:3, line:6:5>
// CHECK-NEXT: | | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | | |-ForStmt {{.*}} <line:5:3, line:6:5>
// CHECK-NEXT: | | | | | | | |-DeclStmt {{.*}} <line:5:8, col:17>
// CHECK-NEXT: | | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-NullStmt {{.*}} <line:6:5>
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <line:4:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:4:1) *const restrict'
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <line:5:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:3> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <line:4:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:4:1) *const restrict'
// CHECK-NEXT: | | | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | | | `-FieldDecl {{.*}} <line:5:3> col:3 implicit 'int'
// CHECK-NEXT: | | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | |-ForStmt {{.*}} <col:3, line:6:5>
// CHECK-NEXT: | | | | | |-DeclStmt {{.*}} <line:5:8, col:17>
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-NullStmt {{.*}} <line:6:5>
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <line:4:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:4:1) *const restrict'
// CHECK-NEXT: | | | | `-VarDecl {{.*}} <line:5:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | `-DeclRefExpr {{.*}} <col:3> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <line:4:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:4:1) *const restrict'
// CHECK-NEXT: | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | `-FieldDecl {{.*}} <line:5:3> col:3 implicit 'int'
// CHECK-NEXT: | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | |-CapturedStmt {{.*}} <col:3, line:6:5>
// CHECK-NEXT: | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | |-ForStmt {{.*}} <line:5:3, line:6:5>
// CHECK-NEXT: | | | | | |-DeclStmt {{.*}} <line:5:8, col:17>
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-NullStmt {{.*}} <line:6:5>
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <line:4:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:4:1) *const restrict'
// CHECK-NEXT: | | | | `-VarDecl {{.*}} <line:5:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | `-DeclRefExpr {{.*}} <col:3> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <line:4:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:4:1) *const restrict'
// CHECK-NEXT: | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | `-FieldDecl {{.*}} <line:5:3> col:3 implicit 'int'
// CHECK-NEXT: | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | |-ForStmt {{.*}} <col:3, line:6:5>
// CHECK-NEXT: | | | |-DeclStmt {{.*}} <line:5:8, col:17>
// CHECK-NEXT: | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | |-<<<NULL>>>
// CHECK-NEXT: | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | `-NullStmt {{.*}} <line:6:5>
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <line:4:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:4:1) *const restrict'
// CHECK-NEXT: | | `-VarDecl {{.*}} <line:5:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | `-DeclRefExpr {{.*}} <col:3> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: |-FunctionDecl {{.*}} <line:9:1, line:14:1> line:9:6 test_two 'void (int, int)'
// CHECK-NEXT: | |-ParmVarDecl {{.*}} <col:15, col:19> col:19 used x 'int'
// CHECK-NEXT: | |-ParmVarDecl {{.*}} <col:22, col:26> col:26 used y 'int'
// CHECK-NEXT: | `-CompoundStmt {{.*}} <col:29, line:14:1>
// CHECK-NEXT: | `-OMPTargetTeamsDistributeParallelForDirective {{.*}} <line:10:1, col:49>
// CHECK-NEXT: | |-OMPFirstprivateClause {{.*}} <<invalid sloc>> <implicit>
// CHECK-NEXT: | | |-DeclRefExpr {{.*}} <line:11:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | `-DeclRefExpr {{.*}} <line:12:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | `-CapturedStmt {{.*}} <line:11:3, line:13:7>
// CHECK-NEXT: | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | |-CapturedStmt {{.*}} <line:11:3, line:13:7>
// CHECK-NEXT: | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | |-CapturedStmt {{.*}} <line:11:3, line:13:7>
// CHECK-NEXT: | | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | | |-CapturedStmt {{.*}} <line:11:3, line:13:7>
// CHECK-NEXT: | | | | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | | | | |-ForStmt {{.*}} <line:11:3, line:13:7>
// CHECK-NEXT: | | | | | | | | | |-DeclStmt {{.*}} <line:11:8, col:17>
// CHECK-NEXT: | | | | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | | `-ForStmt {{.*}} <line:12:5, line:13:7>
// CHECK-NEXT: | | | | | | | | | |-DeclStmt {{.*}} <line:12:10, col:19>
// CHECK-NEXT: | | | | | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | | `-NullStmt {{.*}} <line:13:7>
// CHECK-NEXT: | | | | | | | | |-ImplicitParamDecl {{.*}} <line:10:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:10:1) *const restrict'
// CHECK-NEXT: | | | | | | | | |-VarDecl {{.*}} <line:11:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | | `-VarDecl {{.*}} <line:12:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | | |-DeclRefExpr {{.*}} <line:11:3> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <line:12:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <line:10:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:10:1) *const restrict'
// CHECK-NEXT: | | | | | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | | | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | | | | | |-FieldDecl {{.*}} <line:11:3> col:3 implicit 'int'
// CHECK-NEXT: | | | | | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | | | | | | `-FieldDecl {{.*}} <line:12:25> col:25 implicit 'int'
// CHECK-NEXT: | | | | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | | | | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | | |-ForStmt {{.*}} <line:11:3, line:13:7>
// CHECK-NEXT: | | | | | | | |-DeclStmt {{.*}} <line:11:8, col:17>
// CHECK-NEXT: | | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ForStmt {{.*}} <line:12:5, line:13:7>
// CHECK-NEXT: | | | | | | | |-DeclStmt {{.*}} <line:12:10, col:19>
// CHECK-NEXT: | | | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-NullStmt {{.*}} <line:13:7>
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <line:10:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:10:1) *const restrict'
// CHECK-NEXT: | | | | | | |-VarDecl {{.*}} <line:11:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <line:12:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | |-DeclRefExpr {{.*}} <line:11:3> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <line:12:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <line:10:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:10:1) *const restrict'
// CHECK-NEXT: | | | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | | | |-FieldDecl {{.*}} <line:11:3> col:3 implicit 'int'
// CHECK-NEXT: | | | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | | | | `-FieldDecl {{.*}} <line:12:25> col:25 implicit 'int'
// CHECK-NEXT: | | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | |-CapturedStmt {{.*}} <line:11:3, line:13:7>
// CHECK-NEXT: | | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | | |-ForStmt {{.*}} <line:11:3, line:13:7>
// CHECK-NEXT: | | | | | | | |-DeclStmt {{.*}} <line:11:8, col:17>
// CHECK-NEXT: | | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ForStmt {{.*}} <line:12:5, line:13:7>
// CHECK-NEXT: | | | | | | | |-DeclStmt {{.*}} <line:12:10, col:19>
// CHECK-NEXT: | | | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-NullStmt {{.*}} <line:13:7>
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <line:10:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:10:1) *const restrict'
// CHECK-NEXT: | | | | | | |-VarDecl {{.*}} <line:11:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <line:12:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | |-DeclRefExpr {{.*}} <line:11:3> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <line:12:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <line:10:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:10:1) *const restrict'
// CHECK-NEXT: | | | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | | | |-FieldDecl {{.*}} <line:11:3> col:3 implicit 'int'
// CHECK-NEXT: | | | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | | | | `-FieldDecl {{.*}} <line:12:25> col:25 implicit 'int'
// CHECK-NEXT: | | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | |-ForStmt {{.*}} <line:11:3, line:13:7>
// CHECK-NEXT: | | | | | |-DeclStmt {{.*}} <line:11:8, col:17>
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-ForStmt {{.*}} <line:12:5, line:13:7>
// CHECK-NEXT: | | | | | |-DeclStmt {{.*}} <line:12:10, col:19>
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-NullStmt {{.*}} <line:13:7>
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <line:10:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:10:1) *const restrict'
// CHECK-NEXT: | | | | |-VarDecl {{.*}} <line:11:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | `-VarDecl {{.*}} <line:12:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | |-DeclRefExpr {{.*}} <line:11:3> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | `-DeclRefExpr {{.*}} <line:12:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | |-AlwaysInlineAttr {{.*}} <<invalid sloc>> Implicit __forceinline
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <line:10:1> col:1 implicit .global_tid. 'const int'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .part_id. 'const int *const restrict'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .privates. 'void *const restrict'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .copy_fn. 'void (*const restrict)(void *const restrict, ...)'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .task_t. 'void *const'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:10:1) *const restrict'
// CHECK-NEXT: | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | |-FieldDecl {{.*}} <line:11:3> col:3 implicit 'int'
// CHECK-NEXT: | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | | `-FieldDecl {{.*}} <line:12:25> col:25 implicit 'int'
// CHECK-NEXT: | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | |-CapturedStmt {{.*}} <line:11:3, line:13:7>
// CHECK-NEXT: | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | |-CapturedStmt {{.*}} <line:11:3, line:13:7>
// CHECK-NEXT: | | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | | |-ForStmt {{.*}} <line:11:3, line:13:7>
// CHECK-NEXT: | | | | | | | |-DeclStmt {{.*}} <line:11:8, col:17>
// CHECK-NEXT: | | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ForStmt {{.*}} <line:12:5, line:13:7>
// CHECK-NEXT: | | | | | | | |-DeclStmt {{.*}} <line:12:10, col:19>
// CHECK-NEXT: | | | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-NullStmt {{.*}} <line:13:7>
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <line:10:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:10:1) *const restrict'
// CHECK-NEXT: | | | | | | |-VarDecl {{.*}} <line:11:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <line:12:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | |-DeclRefExpr {{.*}} <line:11:3> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <line:12:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <line:10:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:10:1) *const restrict'
// CHECK-NEXT: | | | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | | | |-FieldDecl {{.*}} <line:11:3> col:3 implicit 'int'
// CHECK-NEXT: | | | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | | | | `-FieldDecl {{.*}} <line:12:25> col:25 implicit 'int'
// CHECK-NEXT: | | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | |-ForStmt {{.*}} <line:11:3, line:13:7>
// CHECK-NEXT: | | | | | |-DeclStmt {{.*}} <line:11:8, col:17>
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-ForStmt {{.*}} <line:12:5, line:13:7>
// CHECK-NEXT: | | | | | |-DeclStmt {{.*}} <line:12:10, col:19>
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-NullStmt {{.*}} <line:13:7>
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <line:10:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:10:1) *const restrict'
// CHECK-NEXT: | | | | |-VarDecl {{.*}} <line:11:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | `-VarDecl {{.*}} <line:12:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | |-DeclRefExpr {{.*}} <line:11:3> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | `-DeclRefExpr {{.*}} <line:12:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <line:10:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:10:1) *const restrict'
// CHECK-NEXT: | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | |-FieldDecl {{.*}} <line:11:3> col:3 implicit 'int'
// CHECK-NEXT: | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | | `-FieldDecl {{.*}} <line:12:25> col:25 implicit 'int'
// CHECK-NEXT: | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | |-CapturedStmt {{.*}} <line:11:3, line:13:7>
// CHECK-NEXT: | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | |-ForStmt {{.*}} <line:11:3, line:13:7>
// CHECK-NEXT: | | | | | |-DeclStmt {{.*}} <line:11:8, col:17>
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-ForStmt {{.*}} <line:12:5, line:13:7>
// CHECK-NEXT: | | | | | |-DeclStmt {{.*}} <line:12:10, col:19>
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-NullStmt {{.*}} <line:13:7>
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <line:10:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:10:1) *const restrict'
// CHECK-NEXT: | | | | |-VarDecl {{.*}} <line:11:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | `-VarDecl {{.*}} <line:12:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | |-DeclRefExpr {{.*}} <line:11:3> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | `-DeclRefExpr {{.*}} <line:12:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <line:10:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:10:1) *const restrict'
// CHECK-NEXT: | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | |-FieldDecl {{.*}} <line:11:3> col:3 implicit 'int'
// CHECK-NEXT: | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | | `-FieldDecl {{.*}} <line:12:25> col:25 implicit 'int'
// CHECK-NEXT: | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | |-ForStmt {{.*}} <line:11:3, line:13:7>
// CHECK-NEXT: | | | |-DeclStmt {{.*}} <line:11:8, col:17>
// CHECK-NEXT: | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | |-<<<NULL>>>
// CHECK-NEXT: | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | `-ForStmt {{.*}} <line:12:5, line:13:7>
// CHECK-NEXT: | | | |-DeclStmt {{.*}} <line:12:10, col:19>
// CHECK-NEXT: | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | |-<<<NULL>>>
// CHECK-NEXT: | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | `-NullStmt {{.*}} <line:13:7>
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <line:10:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:10:1) *const restrict'
// CHECK-NEXT: | | |-VarDecl {{.*}} <line:11:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | `-VarDecl {{.*}} <line:12:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | |-DeclRefExpr {{.*}} <line:11:3> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | `-DeclRefExpr {{.*}} <line:12:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: |-FunctionDecl {{.*}} <line:16:1, line:21:1> line:16:6 test_three 'void (int, int)'
// CHECK-NEXT: | |-ParmVarDecl {{.*}} <col:17, col:21> col:21 used x 'int'
// CHECK-NEXT: | |-ParmVarDecl {{.*}} <col:24, col:28> col:28 used y 'int'
// CHECK-NEXT: | `-CompoundStmt {{.*}} <col:31, line:21:1>
// CHECK-NEXT: | `-OMPTargetTeamsDistributeParallelForDirective {{.*}} <line:17:1, col:61>
// CHECK-NEXT: | |-OMPCollapseClause {{.*}} <col:50, col:60>
// CHECK-NEXT: | | `-ConstantExpr {{.*}} <col:59> 'int'
// CHECK-NEXT: | | `-IntegerLiteral {{.*}} <col:59> 'int' 1
// CHECK-NEXT: | |-OMPFirstprivateClause {{.*}} <<invalid sloc>> <implicit>
// CHECK-NEXT: | | |-DeclRefExpr {{.*}} <line:18:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | `-DeclRefExpr {{.*}} <line:19:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | `-CapturedStmt {{.*}} <line:18:3, line:20:7>
// CHECK-NEXT: | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | |-CapturedStmt {{.*}} <line:18:3, line:20:7>
// CHECK-NEXT: | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | |-CapturedStmt {{.*}} <line:18:3, line:20:7>
// CHECK-NEXT: | | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | | |-CapturedStmt {{.*}} <line:18:3, line:20:7>
// CHECK-NEXT: | | | | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | | | | |-ForStmt {{.*}} <line:18:3, line:20:7>
// CHECK-NEXT: | | | | | | | | | |-DeclStmt {{.*}} <line:18:8, col:17>
// CHECK-NEXT: | | | | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | | `-ForStmt {{.*}} <line:19:5, line:20:7>
// CHECK-NEXT: | | | | | | | | | |-DeclStmt {{.*}} <line:19:10, col:19>
// CHECK-NEXT: | | | | | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | | `-NullStmt {{.*}} <line:20:7>
// CHECK-NEXT: | | | | | | | | |-ImplicitParamDecl {{.*}} <line:17:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:17:1) *const restrict'
// CHECK-NEXT: | | | | | | | | |-VarDecl {{.*}} <line:18:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | | `-VarDecl {{.*}} <line:19:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | | |-DeclRefExpr {{.*}} <line:18:3> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <line:19:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <line:17:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:17:1) *const restrict'
// CHECK-NEXT: | | | | | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | | | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | | | | | |-FieldDecl {{.*}} <line:18:3> col:3 implicit 'int'
// CHECK-NEXT: | | | | | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | | | | | | `-FieldDecl {{.*}} <line:19:25> col:25 implicit 'int'
// CHECK-NEXT: | | | | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | | | | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | | |-ForStmt {{.*}} <line:18:3, line:20:7>
// CHECK-NEXT: | | | | | | | |-DeclStmt {{.*}} <line:18:8, col:17>
// CHECK-NEXT: | | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ForStmt {{.*}} <line:19:5, line:20:7>
// CHECK-NEXT: | | | | | | | |-DeclStmt {{.*}} <line:19:10, col:19>
// CHECK-NEXT: | | | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-NullStmt {{.*}} <line:20:7>
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <line:17:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:17:1) *const restrict'
// CHECK-NEXT: | | | | | | |-VarDecl {{.*}} <line:18:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <line:19:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | |-DeclRefExpr {{.*}} <line:18:3> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <line:19:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <line:17:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:17:1) *const restrict'
// CHECK-NEXT: | | | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | | | |-FieldDecl {{.*}} <line:18:3> col:3 implicit 'int'
// CHECK-NEXT: | | | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | | | | `-FieldDecl {{.*}} <line:19:25> col:25 implicit 'int'
// CHECK-NEXT: | | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | |-CapturedStmt {{.*}} <line:18:3, line:20:7>
// CHECK-NEXT: | | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | | |-ForStmt {{.*}} <line:18:3, line:20:7>
// CHECK-NEXT: | | | | | | | |-DeclStmt {{.*}} <line:18:8, col:17>
// CHECK-NEXT: | | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ForStmt {{.*}} <line:19:5, line:20:7>
// CHECK-NEXT: | | | | | | | |-DeclStmt {{.*}} <line:19:10, col:19>
// CHECK-NEXT: | | | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-NullStmt {{.*}} <line:20:7>
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <line:17:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:17:1) *const restrict'
// CHECK-NEXT: | | | | | | |-VarDecl {{.*}} <line:18:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <line:19:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | |-DeclRefExpr {{.*}} <line:18:3> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <line:19:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <line:17:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:17:1) *const restrict'
// CHECK-NEXT: | | | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | | | |-FieldDecl {{.*}} <line:18:3> col:3 implicit 'int'
// CHECK-NEXT: | | | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | | | | `-FieldDecl {{.*}} <line:19:25> col:25 implicit 'int'
// CHECK-NEXT: | | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | |-ForStmt {{.*}} <line:18:3, line:20:7>
// CHECK-NEXT: | | | | | |-DeclStmt {{.*}} <line:18:8, col:17>
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-ForStmt {{.*}} <line:19:5, line:20:7>
// CHECK-NEXT: | | | | | |-DeclStmt {{.*}} <line:19:10, col:19>
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-NullStmt {{.*}} <line:20:7>
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <line:17:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:17:1) *const restrict'
// CHECK-NEXT: | | | | |-VarDecl {{.*}} <line:18:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | `-VarDecl {{.*}} <line:19:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | |-DeclRefExpr {{.*}} <line:18:3> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | `-DeclRefExpr {{.*}} <line:19:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | |-AlwaysInlineAttr {{.*}} <<invalid sloc>> Implicit __forceinline
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <line:17:1> col:1 implicit .global_tid. 'const int'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .part_id. 'const int *const restrict'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .privates. 'void *const restrict'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .copy_fn. 'void (*const restrict)(void *const restrict, ...)'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .task_t. 'void *const'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:17:1) *const restrict'
// CHECK-NEXT: | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | |-FieldDecl {{.*}} <line:18:3> col:3 implicit 'int'
// CHECK-NEXT: | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | | `-FieldDecl {{.*}} <line:19:25> col:25 implicit 'int'
// CHECK-NEXT: | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | |-CapturedStmt {{.*}} <line:18:3, line:20:7>
// CHECK-NEXT: | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | |-CapturedStmt {{.*}} <line:18:3, line:20:7>
// CHECK-NEXT: | | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | | |-ForStmt {{.*}} <line:18:3, line:20:7>
// CHECK-NEXT: | | | | | | | |-DeclStmt {{.*}} <line:18:8, col:17>
// CHECK-NEXT: | | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ForStmt {{.*}} <line:19:5, line:20:7>
// CHECK-NEXT: | | | | | | | |-DeclStmt {{.*}} <line:19:10, col:19>
// CHECK-NEXT: | | | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-NullStmt {{.*}} <line:20:7>
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <line:17:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:17:1) *const restrict'
// CHECK-NEXT: | | | | | | |-VarDecl {{.*}} <line:18:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <line:19:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | |-DeclRefExpr {{.*}} <line:18:3> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <line:19:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <line:17:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:17:1) *const restrict'
// CHECK-NEXT: | | | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | | | |-FieldDecl {{.*}} <line:18:3> col:3 implicit 'int'
// CHECK-NEXT: | | | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | | | | `-FieldDecl {{.*}} <line:19:25> col:25 implicit 'int'
// CHECK-NEXT: | | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | |-ForStmt {{.*}} <line:18:3, line:20:7>
// CHECK-NEXT: | | | | | |-DeclStmt {{.*}} <line:18:8, col:17>
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-ForStmt {{.*}} <line:19:5, line:20:7>
// CHECK-NEXT: | | | | | |-DeclStmt {{.*}} <line:19:10, col:19>
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-NullStmt {{.*}} <line:20:7>
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <line:17:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:17:1) *const restrict'
// CHECK-NEXT: | | | | |-VarDecl {{.*}} <line:18:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | `-VarDecl {{.*}} <line:19:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | |-DeclRefExpr {{.*}} <line:18:3> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | `-DeclRefExpr {{.*}} <line:19:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <line:17:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:17:1) *const restrict'
// CHECK-NEXT: | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | |-FieldDecl {{.*}} <line:18:3> col:3 implicit 'int'
// CHECK-NEXT: | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | | `-FieldDecl {{.*}} <line:19:25> col:25 implicit 'int'
// CHECK-NEXT: | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | |-CapturedStmt {{.*}} <line:18:3, line:20:7>
// CHECK-NEXT: | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | |-ForStmt {{.*}} <line:18:3, line:20:7>
// CHECK-NEXT: | | | | | |-DeclStmt {{.*}} <line:18:8, col:17>
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-ForStmt {{.*}} <line:19:5, line:20:7>
// CHECK-NEXT: | | | | | |-DeclStmt {{.*}} <line:19:10, col:19>
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-NullStmt {{.*}} <line:20:7>
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <line:17:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:17:1) *const restrict'
// CHECK-NEXT: | | | | |-VarDecl {{.*}} <line:18:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | `-VarDecl {{.*}} <line:19:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | |-DeclRefExpr {{.*}} <line:18:3> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | `-DeclRefExpr {{.*}} <line:19:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <line:17:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:17:1) *const restrict'
// CHECK-NEXT: | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | |-FieldDecl {{.*}} <line:18:3> col:3 implicit 'int'
// CHECK-NEXT: | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | | `-FieldDecl {{.*}} <line:19:25> col:25 implicit 'int'
// CHECK-NEXT: | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | |-ForStmt {{.*}} <line:18:3, line:20:7>
// CHECK-NEXT: | | | |-DeclStmt {{.*}} <line:18:8, col:17>
// CHECK-NEXT: | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | |-<<<NULL>>>
// CHECK-NEXT: | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | `-ForStmt {{.*}} <line:19:5, line:20:7>
// CHECK-NEXT: | | | |-DeclStmt {{.*}} <line:19:10, col:19>
// CHECK-NEXT: | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | |-<<<NULL>>>
// CHECK-NEXT: | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | `-NullStmt {{.*}} <line:20:7>
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <line:17:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:17:1) *const restrict'
// CHECK-NEXT: | | |-VarDecl {{.*}} <line:18:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | `-VarDecl {{.*}} <line:19:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | |-DeclRefExpr {{.*}} <line:18:3> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | `-DeclRefExpr {{.*}} <line:19:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: |-FunctionDecl {{.*}} <line:23:1, line:28:1> line:23:6 test_four 'void (int, int)'
// CHECK-NEXT: | |-ParmVarDecl {{.*}} <col:16, col:20> col:20 used x 'int'
// CHECK-NEXT: | |-ParmVarDecl {{.*}} <col:23, col:27> col:27 used y 'int'
// CHECK-NEXT: | `-CompoundStmt {{.*}} <col:30, line:28:1>
// CHECK-NEXT: | `-OMPTargetTeamsDistributeParallelForDirective {{.*}} <line:24:1, col:61>
// CHECK-NEXT: | |-OMPCollapseClause {{.*}} <col:50, col:60>
// CHECK-NEXT: | | `-ConstantExpr {{.*}} <col:59> 'int'
// CHECK-NEXT: | | `-IntegerLiteral {{.*}} <col:59> 'int' 2
// CHECK-NEXT: | |-OMPFirstprivateClause {{.*}} <<invalid sloc>> <implicit>
// CHECK-NEXT: | | |-DeclRefExpr {{.*}} <line:25:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | `-DeclRefExpr {{.*}} <line:26:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | `-CapturedStmt {{.*}} <line:25:3, line:27:7>
// CHECK-NEXT: | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | |-CapturedStmt {{.*}} <line:25:3, line:27:7>
// CHECK-NEXT: | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | |-CapturedStmt {{.*}} <line:25:3, line:27:7>
// CHECK-NEXT: | | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | | |-CapturedStmt {{.*}} <line:25:3, line:27:7>
// CHECK-NEXT: | | | | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | | | | |-ForStmt {{.*}} <line:25:3, line:27:7>
// CHECK-NEXT: | | | | | | | | | |-DeclStmt {{.*}} <line:25:8, col:17>
// CHECK-NEXT: | | | | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | | `-ForStmt {{.*}} <line:26:5, line:27:7>
// CHECK-NEXT: | | | | | | | | | |-DeclStmt {{.*}} <line:26:10, col:19>
// CHECK-NEXT: | | | | | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | | `-NullStmt {{.*}} <line:27:7>
// CHECK-NEXT: | | | | | | | | |-ImplicitParamDecl {{.*}} <line:24:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:24:1) *const restrict'
// CHECK-NEXT: | | | | | | | | |-VarDecl {{.*}} <line:25:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | | `-VarDecl {{.*}} <line:26:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | | |-DeclRefExpr {{.*}} <line:25:3> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <line:26:5> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <line:24:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:24:1) *const restrict'
// CHECK-NEXT: | | | | | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | | | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | | | | | |-FieldDecl {{.*}} <line:25:3> col:3 implicit 'int'
// CHECK-NEXT: | | | | | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | | | | | | `-FieldDecl {{.*}} <line:26:5> col:5 implicit 'int'
// CHECK-NEXT: | | | | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | | | | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | | |-ForStmt {{.*}} <line:25:3, line:27:7>
// CHECK-NEXT: | | | | | | | |-DeclStmt {{.*}} <line:25:8, col:17>
// CHECK-NEXT: | | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ForStmt {{.*}} <line:26:5, line:27:7>
// CHECK-NEXT: | | | | | | | |-DeclStmt {{.*}} <line:26:10, col:19>
// CHECK-NEXT: | | | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-NullStmt {{.*}} <line:27:7>
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <line:24:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:24:1) *const restrict'
// CHECK-NEXT: | | | | | | |-VarDecl {{.*}} <line:25:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <line:26:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | |-DeclRefExpr {{.*}} <line:25:3> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <line:26:5> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <line:24:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:24:1) *const restrict'
// CHECK-NEXT: | | | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | | | |-FieldDecl {{.*}} <line:25:3> col:3 implicit 'int'
// CHECK-NEXT: | | | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | | | | `-FieldDecl {{.*}} <line:26:5> col:5 implicit 'int'
// CHECK-NEXT: | | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | |-CapturedStmt {{.*}} <line:25:3, line:27:7>
// CHECK-NEXT: | | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | | |-ForStmt {{.*}} <line:25:3, line:27:7>
// CHECK-NEXT: | | | | | | | |-DeclStmt {{.*}} <line:25:8, col:17>
// CHECK-NEXT: | | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ForStmt {{.*}} <line:26:5, line:27:7>
// CHECK-NEXT: | | | | | | | |-DeclStmt {{.*}} <line:26:10, col:19>
// CHECK-NEXT: | | | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-NullStmt {{.*}} <line:27:7>
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <line:24:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:24:1) *const restrict'
// CHECK-NEXT: | | | | | | |-VarDecl {{.*}} <line:25:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <line:26:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | |-DeclRefExpr {{.*}} <line:25:3> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <line:26:5> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <line:24:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:24:1) *const restrict'
// CHECK-NEXT: | | | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | | | |-FieldDecl {{.*}} <line:25:3> col:3 implicit 'int'
// CHECK-NEXT: | | | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | | | | `-FieldDecl {{.*}} <line:26:5> col:5 implicit 'int'
// CHECK-NEXT: | | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | |-ForStmt {{.*}} <line:25:3, line:27:7>
// CHECK-NEXT: | | | | | |-DeclStmt {{.*}} <line:25:8, col:17>
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-ForStmt {{.*}} <line:26:5, line:27:7>
// CHECK-NEXT: | | | | | |-DeclStmt {{.*}} <line:26:10, col:19>
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-NullStmt {{.*}} <line:27:7>
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <line:24:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:24:1) *const restrict'
// CHECK-NEXT: | | | | |-VarDecl {{.*}} <line:25:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | `-VarDecl {{.*}} <line:26:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | |-DeclRefExpr {{.*}} <line:25:3> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | `-DeclRefExpr {{.*}} <line:26:5> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | |-AlwaysInlineAttr {{.*}} <<invalid sloc>> Implicit __forceinline
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <line:24:1> col:1 implicit .global_tid. 'const int'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .part_id. 'const int *const restrict'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .privates. 'void *const restrict'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .copy_fn. 'void (*const restrict)(void *const restrict, ...)'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .task_t. 'void *const'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:24:1) *const restrict'
// CHECK-NEXT: | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | |-FieldDecl {{.*}} <line:25:3> col:3 implicit 'int'
// CHECK-NEXT: | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | | `-FieldDecl {{.*}} <line:26:5> col:5 implicit 'int'
// CHECK-NEXT: | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | |-CapturedStmt {{.*}} <line:25:3, line:27:7>
// CHECK-NEXT: | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | |-CapturedStmt {{.*}} <line:25:3, line:27:7>
// CHECK-NEXT: | | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | | |-ForStmt {{.*}} <line:25:3, line:27:7>
// CHECK-NEXT: | | | | | | | |-DeclStmt {{.*}} <line:25:8, col:17>
// CHECK-NEXT: | | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ForStmt {{.*}} <line:26:5, line:27:7>
// CHECK-NEXT: | | | | | | | |-DeclStmt {{.*}} <line:26:10, col:19>
// CHECK-NEXT: | | | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-NullStmt {{.*}} <line:27:7>
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <line:24:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:24:1) *const restrict'
// CHECK-NEXT: | | | | | | |-VarDecl {{.*}} <line:25:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <line:26:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | |-DeclRefExpr {{.*}} <line:25:3> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <line:26:5> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <line:24:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:24:1) *const restrict'
// CHECK-NEXT: | | | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | | | |-FieldDecl {{.*}} <line:25:3> col:3 implicit 'int'
// CHECK-NEXT: | | | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | | | | `-FieldDecl {{.*}} <line:26:5> col:5 implicit 'int'
// CHECK-NEXT: | | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | |-ForStmt {{.*}} <line:25:3, line:27:7>
// CHECK-NEXT: | | | | | |-DeclStmt {{.*}} <line:25:8, col:17>
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-ForStmt {{.*}} <line:26:5, line:27:7>
// CHECK-NEXT: | | | | | |-DeclStmt {{.*}} <line:26:10, col:19>
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-NullStmt {{.*}} <line:27:7>
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <line:24:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:24:1) *const restrict'
// CHECK-NEXT: | | | | |-VarDecl {{.*}} <line:25:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | `-VarDecl {{.*}} <line:26:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | |-DeclRefExpr {{.*}} <line:25:3> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | `-DeclRefExpr {{.*}} <line:26:5> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <line:24:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:24:1) *const restrict'
// CHECK-NEXT: | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | |-FieldDecl {{.*}} <line:25:3> col:3 implicit 'int'
// CHECK-NEXT: | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | | `-FieldDecl {{.*}} <line:26:5> col:5 implicit 'int'
// CHECK-NEXT: | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | |-CapturedStmt {{.*}} <line:25:3, line:27:7>
// CHECK-NEXT: | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | |-ForStmt {{.*}} <line:25:3, line:27:7>
// CHECK-NEXT: | | | | | |-DeclStmt {{.*}} <line:25:8, col:17>
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-ForStmt {{.*}} <line:26:5, line:27:7>
// CHECK-NEXT: | | | | | |-DeclStmt {{.*}} <line:26:10, col:19>
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-NullStmt {{.*}} <line:27:7>
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <line:24:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:24:1) *const restrict'
// CHECK-NEXT: | | | | |-VarDecl {{.*}} <line:25:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | `-VarDecl {{.*}} <line:26:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | |-DeclRefExpr {{.*}} <line:25:3> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | `-DeclRefExpr {{.*}} <line:26:5> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <line:24:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:24:1) *const restrict'
// CHECK-NEXT: | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | |-FieldDecl {{.*}} <line:25:3> col:3 implicit 'int'
// CHECK-NEXT: | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | | `-FieldDecl {{.*}} <line:26:5> col:5 implicit 'int'
// CHECK-NEXT: | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | |-ForStmt {{.*}} <line:25:3, line:27:7>
// CHECK-NEXT: | | | |-DeclStmt {{.*}} <line:25:8, col:17>
// CHECK-NEXT: | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | |-<<<NULL>>>
// CHECK-NEXT: | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | `-ForStmt {{.*}} <line:26:5, line:27:7>
// CHECK-NEXT: | | | |-DeclStmt {{.*}} <line:26:10, col:19>
// CHECK-NEXT: | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | |-<<<NULL>>>
// CHECK-NEXT: | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | `-NullStmt {{.*}} <line:27:7>
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <line:24:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:24:1) *const restrict'
// CHECK-NEXT: | | |-VarDecl {{.*}} <line:25:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | `-VarDecl {{.*}} <line:26:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | |-DeclRefExpr {{.*}} <line:25:3> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | `-DeclRefExpr {{.*}} <line:26:5> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: `-FunctionDecl {{.*}} <line:30:1, line:36:1> line:30:6 test_five 'void (int, int, int)'
// CHECK-NEXT: |-ParmVarDecl {{.*}} <col:16, col:20> col:20 used x 'int'
// CHECK-NEXT: |-ParmVarDecl {{.*}} <col:23, col:27> col:27 used y 'int'
// CHECK-NEXT: |-ParmVarDecl {{.*}} <col:30, col:34> col:34 used z 'int'
// CHECK-NEXT: `-CompoundStmt {{.*}} <col:37, line:36:1>
// CHECK-NEXT: `-OMPTargetTeamsDistributeParallelForDirective {{.*}} <line:31:1, col:61>
// CHECK-NEXT: |-OMPCollapseClause {{.*}} <col:50, col:60>
// CHECK-NEXT: | `-ConstantExpr {{.*}} <col:59> 'int'
// CHECK-NEXT: | `-IntegerLiteral {{.*}} <col:59> 'int' 2
// CHECK-NEXT: |-OMPFirstprivateClause {{.*}} <<invalid sloc>> <implicit>
// CHECK-NEXT: | |-DeclRefExpr {{.*}} <line:32:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | |-DeclRefExpr {{.*}} <line:33:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | `-DeclRefExpr {{.*}} <line:34:27> 'int' lvalue ParmVar {{.*}} 'z' 'int'
// CHECK-NEXT: `-CapturedStmt {{.*}} <line:32:3, line:35:9>
// CHECK-NEXT: |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | |-CapturedStmt {{.*}} <line:32:3, line:35:9>
// CHECK-NEXT: | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | |-CapturedStmt {{.*}} <line:32:3, line:35:9>
// CHECK-NEXT: | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | |-CapturedStmt {{.*}} <line:32:3, line:35:9>
// CHECK-NEXT: | | | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | | | |-ForStmt {{.*}} <line:32:3, line:35:9>
// CHECK-NEXT: | | | | | | | | |-DeclStmt {{.*}} <line:32:8, col:17>
// CHECK-NEXT: | | | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-ForStmt {{.*}} <line:33:5, line:35:9>
// CHECK-NEXT: | | | | | | | | |-DeclStmt {{.*}} <line:33:10, col:19>
// CHECK-NEXT: | | | | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-ForStmt {{.*}} <line:34:7, line:35:9>
// CHECK-NEXT: | | | | | | | | |-DeclStmt {{.*}} <line:34:12, col:21>
// CHECK-NEXT: | | | | | | | | | `-VarDecl {{.*}} <col:12, col:20> col:16 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | | `-IntegerLiteral {{.*}} <col:20> 'int' 0
// CHECK-NEXT: | | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | | |-BinaryOperator {{.*}} <col:23, col:27> 'int' '<'
// CHECK-NEXT: | | | | | | | | | |-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | | `-ImplicitCastExpr {{.*}} <col:27> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:27> 'int' lvalue ParmVar {{.*}} 'z' 'int'
// CHECK-NEXT: | | | | | | | | |-UnaryOperator {{.*}} <col:30, col:31> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:30> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-NullStmt {{.*}} <line:35:9>
// CHECK-NEXT: | | | | | | | |-ImplicitParamDecl {{.*}} <line:31:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:31:1) *const restrict'
// CHECK-NEXT: | | | | | | | |-VarDecl {{.*}} <line:32:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | |-VarDecl {{.*}} <line:33:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | | `-VarDecl {{.*}} <line:34:12, col:20> col:16 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:20> 'int' 0
// CHECK-NEXT: | | | | | | |-DeclRefExpr {{.*}} <line:32:3> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | |-DeclRefExpr {{.*}} <line:33:5> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <line:34:27> 'int' lvalue ParmVar {{.*}} 'z' 'int'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <line:31:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:31:1) *const restrict'
// CHECK-NEXT: | | | | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | | | | |-FieldDecl {{.*}} <line:32:3> col:3 implicit 'int'
// CHECK-NEXT: | | | | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | | | | | |-FieldDecl {{.*}} <line:33:5> col:5 implicit 'int'
// CHECK-NEXT: | | | | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | | | | | `-FieldDecl {{.*}} <line:34:27> col:27 implicit 'int'
// CHECK-NEXT: | | | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | | | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | |-ForStmt {{.*}} <line:32:3, line:35:9>
// CHECK-NEXT: | | | | | | |-DeclStmt {{.*}} <line:32:8, col:17>
// CHECK-NEXT: | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ForStmt {{.*}} <line:33:5, line:35:9>
// CHECK-NEXT: | | | | | | |-DeclStmt {{.*}} <line:33:10, col:19>
// CHECK-NEXT: | | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ForStmt {{.*}} <line:34:7, line:35:9>
// CHECK-NEXT: | | | | | | |-DeclStmt {{.*}} <line:34:12, col:21>
// CHECK-NEXT: | | | | | | | `-VarDecl {{.*}} <col:12, col:20> col:16 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:20> 'int' 0
// CHECK-NEXT: | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | |-BinaryOperator {{.*}} <col:23, col:27> 'int' '<'
// CHECK-NEXT: | | | | | | | |-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ImplicitCastExpr {{.*}} <col:27> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:27> 'int' lvalue ParmVar {{.*}} 'z' 'int'
// CHECK-NEXT: | | | | | | |-UnaryOperator {{.*}} <col:30, col:31> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:30> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-NullStmt {{.*}} <line:35:9>
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <line:31:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:31:1) *const restrict'
// CHECK-NEXT: | | | | | |-VarDecl {{.*}} <line:32:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | |-VarDecl {{.*}} <line:33:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | `-VarDecl {{.*}} <line:34:12, col:20> col:16 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:20> 'int' 0
// CHECK-NEXT: | | | | |-DeclRefExpr {{.*}} <line:32:3> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | |-DeclRefExpr {{.*}} <line:33:5> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | `-DeclRefExpr {{.*}} <line:34:27> 'int' lvalue ParmVar {{.*}} 'z' 'int'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <line:31:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:31:1) *const restrict'
// CHECK-NEXT: | | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | | |-FieldDecl {{.*}} <line:32:3> col:3 implicit 'int'
// CHECK-NEXT: | | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | | | |-FieldDecl {{.*}} <line:33:5> col:5 implicit 'int'
// CHECK-NEXT: | | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | | | `-FieldDecl {{.*}} <line:34:27> col:27 implicit 'int'
// CHECK-NEXT: | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | |-CapturedStmt {{.*}} <line:32:3, line:35:9>
// CHECK-NEXT: | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | |-ForStmt {{.*}} <line:32:3, line:35:9>
// CHECK-NEXT: | | | | | | |-DeclStmt {{.*}} <line:32:8, col:17>
// CHECK-NEXT: | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ForStmt {{.*}} <line:33:5, line:35:9>
// CHECK-NEXT: | | | | | | |-DeclStmt {{.*}} <line:33:10, col:19>
// CHECK-NEXT: | | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ForStmt {{.*}} <line:34:7, line:35:9>
// CHECK-NEXT: | | | | | | |-DeclStmt {{.*}} <line:34:12, col:21>
// CHECK-NEXT: | | | | | | | `-VarDecl {{.*}} <col:12, col:20> col:16 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:20> 'int' 0
// CHECK-NEXT: | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | |-BinaryOperator {{.*}} <col:23, col:27> 'int' '<'
// CHECK-NEXT: | | | | | | | |-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ImplicitCastExpr {{.*}} <col:27> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:27> 'int' lvalue ParmVar {{.*}} 'z' 'int'
// CHECK-NEXT: | | | | | | |-UnaryOperator {{.*}} <col:30, col:31> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:30> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-NullStmt {{.*}} <line:35:9>
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <line:31:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:31:1) *const restrict'
// CHECK-NEXT: | | | | | |-VarDecl {{.*}} <line:32:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | |-VarDecl {{.*}} <line:33:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | `-VarDecl {{.*}} <line:34:12, col:20> col:16 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:20> 'int' 0
// CHECK-NEXT: | | | | |-DeclRefExpr {{.*}} <line:32:3> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | |-DeclRefExpr {{.*}} <line:33:5> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | `-DeclRefExpr {{.*}} <line:34:27> 'int' lvalue ParmVar {{.*}} 'z' 'int'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <line:31:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:31:1) *const restrict'
// CHECK-NEXT: | | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | | |-FieldDecl {{.*}} <line:32:3> col:3 implicit 'int'
// CHECK-NEXT: | | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | | | |-FieldDecl {{.*}} <line:33:5> col:5 implicit 'int'
// CHECK-NEXT: | | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | | | `-FieldDecl {{.*}} <line:34:27> col:27 implicit 'int'
// CHECK-NEXT: | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | |-ForStmt {{.*}} <line:32:3, line:35:9>
// CHECK-NEXT: | | | | |-DeclStmt {{.*}} <line:32:8, col:17>
// CHECK-NEXT: | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | `-ForStmt {{.*}} <line:33:5, line:35:9>
// CHECK-NEXT: | | | | |-DeclStmt {{.*}} <line:33:10, col:19>
// CHECK-NEXT: | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | `-ForStmt {{.*}} <line:34:7, line:35:9>
// CHECK-NEXT: | | | | |-DeclStmt {{.*}} <line:34:12, col:21>
// CHECK-NEXT: | | | | | `-VarDecl {{.*}} <col:12, col:20> col:16 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:20> 'int' 0
// CHECK-NEXT: | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | |-BinaryOperator {{.*}} <col:23, col:27> 'int' '<'
// CHECK-NEXT: | | | | | |-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-ImplicitCastExpr {{.*}} <col:27> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:27> 'int' lvalue ParmVar {{.*}} 'z' 'int'
// CHECK-NEXT: | | | | |-UnaryOperator {{.*}} <col:30, col:31> 'int' postfix '++'
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:30> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | `-NullStmt {{.*}} <line:35:9>
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <line:31:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:31:1) *const restrict'
// CHECK-NEXT: | | | |-VarDecl {{.*}} <line:32:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | |-VarDecl {{.*}} <line:33:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | `-VarDecl {{.*}} <line:34:12, col:20> col:16 used i 'int' cinit
// CHECK-NEXT: | | | `-IntegerLiteral {{.*}} <col:20> 'int' 0
// CHECK-NEXT: | | |-DeclRefExpr {{.*}} <line:32:3> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | |-DeclRefExpr {{.*}} <line:33:5> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | `-DeclRefExpr {{.*}} <line:34:27> 'int' lvalue ParmVar {{.*}} 'z' 'int'
// CHECK-NEXT: | |-AlwaysInlineAttr {{.*}} <<invalid sloc>> Implicit __forceinline
// CHECK-NEXT: | |-ImplicitParamDecl {{.*}} <line:31:1> col:1 implicit .global_tid. 'const int'
// CHECK-NEXT: | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .part_id. 'const int *const restrict'
// CHECK-NEXT: | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .privates. 'void *const restrict'
// CHECK-NEXT: | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .copy_fn. 'void (*const restrict)(void *const restrict, ...)'
// CHECK-NEXT: | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .task_t. 'void *const'
// CHECK-NEXT: | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:31:1) *const restrict'
// CHECK-NEXT: | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | |-FieldDecl {{.*}} <line:32:3> col:3 implicit 'int'
// CHECK-NEXT: | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | |-FieldDecl {{.*}} <line:33:5> col:5 implicit 'int'
// CHECK-NEXT: | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | `-FieldDecl {{.*}} <line:34:27> col:27 implicit 'int'
// CHECK-NEXT: | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | |-CapturedStmt {{.*}} <line:32:3, line:35:9>
// CHECK-NEXT: | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | |-CapturedStmt {{.*}} <line:32:3, line:35:9>
// CHECK-NEXT: | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | |-ForStmt {{.*}} <line:32:3, line:35:9>
// CHECK-NEXT: | | | | | | |-DeclStmt {{.*}} <line:32:8, col:17>
// CHECK-NEXT: | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ForStmt {{.*}} <line:33:5, line:35:9>
// CHECK-NEXT: | | | | | | |-DeclStmt {{.*}} <line:33:10, col:19>
// CHECK-NEXT: | | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ForStmt {{.*}} <line:34:7, line:35:9>
// CHECK-NEXT: | | | | | | |-DeclStmt {{.*}} <line:34:12, col:21>
// CHECK-NEXT: | | | | | | | `-VarDecl {{.*}} <col:12, col:20> col:16 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:20> 'int' 0
// CHECK-NEXT: | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | |-BinaryOperator {{.*}} <col:23, col:27> 'int' '<'
// CHECK-NEXT: | | | | | | | |-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ImplicitCastExpr {{.*}} <col:27> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:27> 'int' lvalue ParmVar {{.*}} 'z' 'int'
// CHECK-NEXT: | | | | | | |-UnaryOperator {{.*}} <col:30, col:31> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:30> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-NullStmt {{.*}} <line:35:9>
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <line:31:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:31:1) *const restrict'
// CHECK-NEXT: | | | | | |-VarDecl {{.*}} <line:32:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | |-VarDecl {{.*}} <line:33:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | `-VarDecl {{.*}} <line:34:12, col:20> col:16 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:20> 'int' 0
// CHECK-NEXT: | | | | |-DeclRefExpr {{.*}} <line:32:3> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | |-DeclRefExpr {{.*}} <line:33:5> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | `-DeclRefExpr {{.*}} <line:34:27> 'int' lvalue ParmVar {{.*}} 'z' 'int'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <line:31:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:31:1) *const restrict'
// CHECK-NEXT: | | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | | |-FieldDecl {{.*}} <line:32:3> col:3 implicit 'int'
// CHECK-NEXT: | | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | | | |-FieldDecl {{.*}} <line:33:5> col:5 implicit 'int'
// CHECK-NEXT: | | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | | | `-FieldDecl {{.*}} <line:34:27> col:27 implicit 'int'
// CHECK-NEXT: | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | |-ForStmt {{.*}} <line:32:3, line:35:9>
// CHECK-NEXT: | | | | |-DeclStmt {{.*}} <line:32:8, col:17>
// CHECK-NEXT: | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | `-ForStmt {{.*}} <line:33:5, line:35:9>
// CHECK-NEXT: | | | | |-DeclStmt {{.*}} <line:33:10, col:19>
// CHECK-NEXT: | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | `-ForStmt {{.*}} <line:34:7, line:35:9>
// CHECK-NEXT: | | | | |-DeclStmt {{.*}} <line:34:12, col:21>
// CHECK-NEXT: | | | | | `-VarDecl {{.*}} <col:12, col:20> col:16 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:20> 'int' 0
// CHECK-NEXT: | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | |-BinaryOperator {{.*}} <col:23, col:27> 'int' '<'
// CHECK-NEXT: | | | | | |-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-ImplicitCastExpr {{.*}} <col:27> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:27> 'int' lvalue ParmVar {{.*}} 'z' 'int'
// CHECK-NEXT: | | | | |-UnaryOperator {{.*}} <col:30, col:31> 'int' postfix '++'
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:30> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | `-NullStmt {{.*}} <line:35:9>
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <line:31:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:31:1) *const restrict'
// CHECK-NEXT: | | | |-VarDecl {{.*}} <line:32:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | |-VarDecl {{.*}} <line:33:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | `-VarDecl {{.*}} <line:34:12, col:20> col:16 used i 'int' cinit
// CHECK-NEXT: | | | `-IntegerLiteral {{.*}} <col:20> 'int' 0
// CHECK-NEXT: | | |-DeclRefExpr {{.*}} <line:32:3> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | |-DeclRefExpr {{.*}} <line:33:5> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | `-DeclRefExpr {{.*}} <line:34:27> 'int' lvalue ParmVar {{.*}} 'z' 'int'
// CHECK-NEXT: | |-ImplicitParamDecl {{.*}} <line:31:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:31:1) *const restrict'
// CHECK-NEXT: | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | |-FieldDecl {{.*}} <line:32:3> col:3 implicit 'int'
// CHECK-NEXT: | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | |-FieldDecl {{.*}} <line:33:5> col:5 implicit 'int'
// CHECK-NEXT: | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | `-FieldDecl {{.*}} <line:34:27> col:27 implicit 'int'
// CHECK-NEXT: | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | |-CapturedStmt {{.*}} <line:32:3, line:35:9>
// CHECK-NEXT: | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | |-ForStmt {{.*}} <line:32:3, line:35:9>
// CHECK-NEXT: | | | | |-DeclStmt {{.*}} <line:32:8, col:17>
// CHECK-NEXT: | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | `-ForStmt {{.*}} <line:33:5, line:35:9>
// CHECK-NEXT: | | | | |-DeclStmt {{.*}} <line:33:10, col:19>
// CHECK-NEXT: | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | `-ForStmt {{.*}} <line:34:7, line:35:9>
// CHECK-NEXT: | | | | |-DeclStmt {{.*}} <line:34:12, col:21>
// CHECK-NEXT: | | | | | `-VarDecl {{.*}} <col:12, col:20> col:16 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:20> 'int' 0
// CHECK-NEXT: | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | |-BinaryOperator {{.*}} <col:23, col:27> 'int' '<'
// CHECK-NEXT: | | | | | |-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-ImplicitCastExpr {{.*}} <col:27> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:27> 'int' lvalue ParmVar {{.*}} 'z' 'int'
// CHECK-NEXT: | | | | |-UnaryOperator {{.*}} <col:30, col:31> 'int' postfix '++'
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:30> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | `-NullStmt {{.*}} <line:35:9>
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <line:31:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:31:1) *const restrict'
// CHECK-NEXT: | | | |-VarDecl {{.*}} <line:32:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | |-VarDecl {{.*}} <line:33:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | `-VarDecl {{.*}} <line:34:12, col:20> col:16 used i 'int' cinit
// CHECK-NEXT: | | | `-IntegerLiteral {{.*}} <col:20> 'int' 0
// CHECK-NEXT: | | |-DeclRefExpr {{.*}} <line:32:3> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | |-DeclRefExpr {{.*}} <line:33:5> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | `-DeclRefExpr {{.*}} <line:34:27> 'int' lvalue ParmVar {{.*}} 'z' 'int'
// CHECK-NEXT: | |-ImplicitParamDecl {{.*}} <line:31:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:31:1) *const restrict'
// CHECK-NEXT: | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | |-FieldDecl {{.*}} <line:32:3> col:3 implicit 'int'
// CHECK-NEXT: | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | |-FieldDecl {{.*}} <line:33:5> col:5 implicit 'int'
// CHECK-NEXT: | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | | `-FieldDecl {{.*}} <line:34:27> col:27 implicit 'int'
// CHECK-NEXT: | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit 9
// CHECK-NEXT: | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | |-ForStmt {{.*}} <line:32:3, line:35:9>
// CHECK-NEXT: | | |-DeclStmt {{.*}} <line:32:8, col:17>
// CHECK-NEXT: | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | |-<<<NULL>>>
// CHECK-NEXT: | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | `-ForStmt {{.*}} <line:33:5, line:35:9>
// CHECK-NEXT: | | |-DeclStmt {{.*}} <line:33:10, col:19>
// CHECK-NEXT: | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | |-<<<NULL>>>
// CHECK-NEXT: | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | `-ForStmt {{.*}} <line:34:7, line:35:9>
// CHECK-NEXT: | | |-DeclStmt {{.*}} <line:34:12, col:21>
// CHECK-NEXT: | | | `-VarDecl {{.*}} <col:12, col:20> col:16 used i 'int' cinit
// CHECK-NEXT: | | | `-IntegerLiteral {{.*}} <col:20> 'int' 0
// CHECK-NEXT: | | |-<<<NULL>>>
// CHECK-NEXT: | | |-BinaryOperator {{.*}} <col:23, col:27> 'int' '<'
// CHECK-NEXT: | | | |-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | `-ImplicitCastExpr {{.*}} <col:27> 'int' <LValueToRValue>
// CHECK-NEXT: | | | `-DeclRefExpr {{.*}} <col:27> 'int' lvalue ParmVar {{.*}} 'z' 'int'
// CHECK-NEXT: | | |-UnaryOperator {{.*}} <col:30, col:31> 'int' postfix '++'
// CHECK-NEXT: | | | `-DeclRefExpr {{.*}} <col:30> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | `-NullStmt {{.*}} <line:35:9>
// CHECK-NEXT: | |-ImplicitParamDecl {{.*}} <line:31:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.lb. 'const unsigned long'
// CHECK-NEXT: | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit used .previous.ub. 'const unsigned long'
// CHECK-NEXT: | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-target-teams-distribute-parallel-for.c:31:1) *const restrict'
// CHECK-NEXT: | |-VarDecl {{.*}} <line:32:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | |-VarDecl {{.*}} <line:33:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | `-VarDecl {{.*}} <line:34:12, col:20> col:16 used i 'int' cinit
// CHECK-NEXT: | `-IntegerLiteral {{.*}} <col:20> 'int' 0
// CHECK-NEXT: |-DeclRefExpr {{.*}} <line:32:3> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: |-DeclRefExpr {{.*}} <line:33:5> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: `-DeclRefExpr {{.*}} <line:34:27> 'int' lvalue ParmVar {{.*}} 'z' 'int'
|
GB_unop__ceil_fc32_fc32.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__ceil_fc32_fc32)
// op(A') function: GB (_unop_tran__ceil_fc32_fc32)
// C type: GxB_FC32_t
// A type: GxB_FC32_t
// cast: GxB_FC32_t cij = aij
// unaryop: cij = GB_cceilf (aij)
#define GB_ATYPE \
GxB_FC32_t
#define GB_CTYPE \
GxB_FC32_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
GxB_FC32_t aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = GB_cceilf (x) ;
// casting
#define GB_CAST(z, aij) \
GxB_FC32_t z = aij ;
// cij = op (aij)
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
GxB_FC32_t aij = Ax [pA] ; \
/* Cx [pC] = op (cast (aij)) */ \
GxB_FC32_t z = aij ; \
Cx [pC] = GB_cceilf (z) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_CEIL || GxB_NO_FC32)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_apply__ceil_fc32_fc32)
(
GxB_FC32_t *Cx, // Cx and Ax may be aliased
const GxB_FC32_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++)
{
GxB_FC32_t aij = Ax [p] ;
GxB_FC32_t z = aij ;
Cx [p] = GB_cceilf (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 ;
GxB_FC32_t aij = Ax [p] ;
GxB_FC32_t z = aij ;
Cx [p] = GB_cceilf (z) ;
}
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_tran__ceil_fc32_fc32)
(
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
|
Analyzer.h | #ifndef ANALYZER_H
#define ANALYZER_H
/*************************************************************
* Copyright: (C) 2012 by Markus Schordan *
* Author : Markus Schordan *
* License : see file LICENSE in the CodeThorn distribution *
*************************************************************/
#include <iostream>
#include <fstream>
#include <set>
#include <string>
#include <sstream>
#include <list>
#include <vector>
#include <omp.h>
#include <boost/unordered_set.hpp>
#include <boost/unordered_map.hpp>
#include "Timer.h"
#include "AstTerm.h"
#include "Labeler.h"
#include "CFAnalysis.h"
#include "RoseAst.h"
#include "SgNodeHelper.h"
#include "ExprAnalyzer.h"
#include "StateRepresentations.h"
#include "TransitionGraph.h"
#include "PropertyValueTable.h"
#include "CTIOLabeler.h"
#include "VariableValueMonitor.h"
// we use INT_MIN, INT_MAX
#include "limits.h"
#include "AstNodeInfo.h"
namespace CodeThorn {
/*!
* \author Markus Schordan
* \date 2012.
*/
typedef std::list<const EState*> EStateWorkList;
typedef std::pair<int, const EState*> FailedAssertion;
typedef std::pair<PState, std::list<int> > PStatePlusIOHistory;
enum AnalyzerMode { AM_ALL_STATES, AM_LTL_STATES };
/*!
* \author Markus Schordan
* \date 2012.
*/
class Analyzer {
friend class Visualizer;
friend class VariableValueMonitor;
public:
Analyzer();
~Analyzer();
protected:
static Sawyer::Message::Facility logger;
public:
static void initDiagnostics();
static std::string nodeToString(SgNode* node);
void initAstNodeInfo(SgNode* node);
bool isInExplicitStateMode();
bool isActiveGlobalTopify();
void initializeSolver1(std::string functionToStartAt,SgNode* root, bool oneFunctionOnly);
void initializeTraceSolver(std::string functionToStartAt,SgNode* root);
void continueAnalysisFrom(EState* newStartEState);
PState analyzeAssignRhs(PState currentPState,VariableId lhsVar, SgNode* rhs,ConstraintSet& cset);
EState analyzeVariableDeclaration(SgVariableDeclaration* nextNodeToAnalyze1,EState currentEState, Label targetLabel);
void addToWorkList(const EState* estate);
const EState* addToWorkListIfNew(EState estate);
const EState* takeFromWorkList();
bool isInWorkList(const EState* estate);
bool isEmptyWorkList();
const EState* topWorkList();
const EState* popWorkList();
void swapWorkLists();
size_t memorySizeContentEStateWorkLists();
void recordTransition(const EState* sourceEState, Edge e, const EState* targetEState);
void printStatusMessage(bool);
bool isStartLabel(Label label);
// determines whether lab is a function call label of a function
// call of the form 'x=f(...)' and returns the varible-id of the
// lhs, if a valid pointer is provided
bool isFunctionCallWithAssignment(Label lab,VariableId* varId=0);
std::list<EState> transferEdgeEState(Edge edge, const EState* estate);
std::list<EState> transferFunctionCall(Edge edge, const EState* estate);
std::list<EState> transferFunctionCallLocalEdge(Edge edge, const EState* estate);
std::list<EState> transferFunctionCallExternal(Edge edge, const EState* estate);
std::list<EState> transferFunctionCallReturn(Edge edge, const EState* estate);
std::list<EState> transferFunctionExit(Edge edge, const EState* estate);
std::list<EState> transferReturnStmt(Edge edge, const EState* estate);
std::list<EState> transferVariableDeclaration(SgVariableDeclaration* decl,Edge edge, const EState* estate);
std::list<EState> transferExprStmt(SgNode* nextNodeToAnalyze1, Edge edge, const EState* estate);
std::list<EState> transferIdentity(Edge edge, const EState* estate);
std::list<EState> transferAssignOp(SgAssignOp* assignOp, Edge edge, const EState* estate);
std::list<EState> transferIncDecOp(SgNode* nextNodeToAnalyze2, Edge edge, const EState* estate);
std::list<EState> transferTrueFalseEdge(SgNode* nextNodeToAnalyze2, Edge edge, const EState* estate);
SgNode* getCond(SgNode* node);
void generateAstNodeInfo(SgNode* node);
bool checkEStateSet();
bool isConsistentEStatePtrSet(std::set<const EState*> estatePtrSet);
bool checkTransitionGraph();
//! requires init
void runSolver4();
void runSolver5();
void runSolver8();
void runSolver9();
void runSolver10();
void runSolver11();
void runSolver12();
void runSolver();
//! The analyzer requires a CFAnalysis to obtain the ICFG.
void setCFAnalyzer(CFAnalysis* cf) { cfanalyzer=cf; }
CFAnalysis* getCFAnalyzer() const { return cfanalyzer; }
//void initializeVariableIdMapping(SgProject* project) { variableIdMapping.computeVariableSymbolMapping(project); }
// access functions for computed information
VariableIdMapping* getVariableIdMapping() { return &variableIdMapping; }
CTIOLabeler* getLabeler() const {
CTIOLabeler* ioLabeler=dynamic_cast<CTIOLabeler*>(cfanalyzer->getLabeler());
ROSE_ASSERT(ioLabeler);
return ioLabeler;
}
Flow* getFlow() { return &flow; }
PStateSet* getPStateSet() { return &pstateSet; }
EStateSet* getEStateSet() { return &estateSet; }
TransitionGraph* getTransitionGraph() { return &transitionGraph; }
ConstraintSetMaintainer* getConstraintSetMaintainer() { return &constraintSetMaintainer; }
//private: TODO
Flow flow;
SgNode* startFunRoot;
CFAnalysis* cfanalyzer;
enum ExplorationMode { EXPL_DEPTH_FIRST, EXPL_BREADTH_FIRST, EXPL_LOOP_AWARE, EXPL_LOOP_AWARE_SYNC, EXPL_RANDOM_MODE1 };
void eventGlobalTopifyTurnedOn();
bool isIncompleteSTGReady();
bool isPrecise();
PropertyValueTable reachabilityResults;
int reachabilityAssertCode(const EState* currentEStatePtr);
void setExplorationMode(ExplorationMode em) { _explorationMode=em; }
ExplorationMode getExplorationMode() { return _explorationMode; }
void setSkipSelectedFunctionCalls(bool defer) {
_skipSelectedFunctionCalls=true;
exprAnalyzer.setSkipSelectedFunctionCalls(true);
}
void setSkipArrayAccesses(bool skip) {
exprAnalyzer.setSkipArrayAccesses(skip);
}
bool getSkipArrayAccesses() {
return exprAnalyzer.getSkipArrayAccesses();
}
ExprAnalyzer* getExprAnalyzer();
std::list<FailedAssertion> getFirstAssertionOccurences(){return _firstAssertionOccurences;}
void incIterations() {
if(isPrecise()) {
#pragma omp atomic
_iterations+=1;
} else {
#pragma omp atomic
_approximated_iterations+=1;
}
}
bool isLoopCondLabel(Label lab);
int getApproximatedIterations() { return _approximated_iterations; }
int getIterations() { return _iterations; }
string getVarNameByIdCode(int varIdCode) {return variableIdMapping.variableName(variableIdMapping.variableIdFromCode(varIdCode));};
void mapGlobalVarInsert(std::string name, int* addr);
//! compute the VariableIds of variable declarations
VariableIdMapping::VariableIdSet determineVariableIdsOfVariableDeclarations(set<SgVariableDeclaration*> decls);
//! compute the VariableIds of SgInitializedNamePtrList
VariableIdMapping::VariableIdSet determineVariableIdsOfSgInitializedNames(SgInitializedNamePtrList& namePtrList);
std::set<std::string> variableIdsToVariableNames(VariableIdMapping::VariableIdSet);
typedef std::list<SgVariableDeclaration*> VariableDeclarationList;
VariableDeclarationList computeUnusedGlobalVariableDeclarationList(SgProject* root);
VariableDeclarationList computeUsedGlobalVariableDeclarationList(SgProject* root);
bool isFailedAssertEState(const EState* estate);
bool isVerificationErrorEState(const EState* estate);
//! adds a specific code to the io-info of an estate which is checked by isFailedAsserEState and determines a failed-assert estate. Note that the actual assert (and its label) is associated with the previous estate (this information can therefore be obtained from a transition-edge in the transition graph).
EState createFailedAssertEState(const EState estate, Label target);
EState createVerificationErrorEState(const EState estate, Label target);
//! list of all asserts in a program
std::list<SgNode*> listOfAssertNodes(SgProject *root);
//! rers-specific error_x: assert(0) version
std::list<std::pair<SgLabelStatement*,SgNode*> > listOfLabeledAssertNodes(SgProject *root);
void initLabeledAssertNodes(SgProject* root) {
_assertNodes=listOfLabeledAssertNodes(root);
}
size_t getNumberOfErrorLabels();
std::string labelNameOfAssertLabel(Label lab) {
std::string labelName;
for(std::list<std::pair<SgLabelStatement*,SgNode*> >::iterator i=_assertNodes.begin();i!=_assertNodes.end();++i)
if(lab==getLabeler()->getLabel((*i).second))
labelName=SgNodeHelper::getLabelName((*i).first);
//assert(labelName.size()>0);
return labelName;
}
bool isCppLabeledAssertLabel(Label lab) {
return labelNameOfAssertLabel(lab).size()>0;
}
InputOutput::OpType ioOp(const EState* estate) const;
void setDisplayDiff(int diff) { _displayDiff=diff; }
void setResourceLimitDiff(int diff) { _resourceLimitDiff=diff; }
void setSolver(int solver) { _solver=solver; }
int getSolver() { return _solver;}
void setSemanticFoldThreshold(int t) { _semanticFoldThreshold=t; }
void setNumberOfThreadsToUse(int n) { _numberOfThreadsToUse=n; }
int getNumberOfThreadsToUse() { return _numberOfThreadsToUse; }
std::list<std::pair<SgLabelStatement*,SgNode*> > _assertNodes;
VariableId globalVarIdByName(std::string varName) { return globalVarName2VarIdMapping[varName]; }
void setTreatStdErrLikeFailedAssert(bool x) { _treatStdErrLikeFailedAssert=x; }
boost::unordered_map <std::string,int*> mapGlobalVarAddress;
boost::unordered_map <int*,std::string> mapAddressGlobalVar;
void setCompoundIncVarsSet(set<VariableId> ciVars);
void setSmallActivityVarsSet(set<VariableId> ciVars);
void setAssertCondVarsSet(set<VariableId> acVars);
enum GlobalTopifyMode {GTM_IO, GTM_IOCF, GTM_IOCFPTR, GTM_COMPOUNDASSIGN, GTM_FLAGS};
void setGlobalTopifyMode(GlobalTopifyMode mode);
void setExternalErrorFunctionName(std::string externalErrorFunctionName);
// enables external function semantics
void enableExternalFunctionSemantics();
void disableExternalFunctionSemantics();
bool isUsingExternalFunctionSemantics() { return _externalFunctionSemantics; }
void setModeLTLDriven(bool ltlDriven) { transitionGraph.setModeLTLDriven(ltlDriven); }
bool getModeLTLDriven() { return transitionGraph.getModeLTLDriven(); }
long analysisRunTimeInSeconds();
void setVariableValueThreshold(int threshold) { variableValueMonitor.setThreshold(threshold); }
void set_finished(std::vector<bool>& v, bool val);
bool all_false(std::vector<bool>& v);
private:
GlobalTopifyMode _globalTopifyMode;
set<VariableId> _compoundIncVarsSet;
set<VariableId> _smallActivityVarsSet;
set<VariableId> _assertCondVarsSet;
set<int> _inputVarValues;
std::list<int> _inputSequence;
std::list<int>::iterator _inputSequenceIterator;
ExprAnalyzer exprAnalyzer;
VariableIdMapping variableIdMapping;
EStateWorkList* estateWorkListCurrent;
EStateWorkList* estateWorkListNext;
EStateWorkList estateWorkListOne;
EStateWorkList estateWorkListTwo;
EStateSet estateSet;
PStateSet pstateSet;
ConstraintSetMaintainer constraintSetMaintainer;
TransitionGraph transitionGraph;
TransitionGraph backupTransitionGraph;
set<const EState*> transitionSourceEStateSetOfLabel(Label lab);
int _displayDiff;
int _resourceLimitDiff;
int _numberOfThreadsToUse;
int _semanticFoldThreshold;
VariableIdMapping::VariableIdSet _variablesToIgnore;
int _solver;
AnalyzerMode _analyzerMode;
set<const EState*> _newNodesToFold;
long int _maxTransitions;
long int _maxIterations;
long int _maxBytes;
long int _maxSeconds;
long int _maxTransitionsForcedTop;
long int _maxIterationsForcedTop;
long int _maxBytesForcedTop;
long int _maxSecondsForcedTop;
PState _startPState;
std::list<EState> elistify();
std::list<EState> elistify(EState res);
// only used in LTL-driven mode
void setStartEState(const EState* estate);
/*! if state exists in stateSet, a pointer to the existing state is returned otherwise
a new state is entered into stateSet and a pointer to it is returned.
*/
const PState* processNew(PState& s);
const PState* processNewOrExisting(PState& s);
const EState* processNew(EState& s);
const EState* processNewOrExisting(EState& s);
const EState* processCompleteNewOrExisting(const EState* es);
void topifyVariable(PState& pstate, ConstraintSet& cset, VariableId varId);
bool isTopified(EState& s);
EStateSet::ProcessingResult process(EState& s);
EStateSet::ProcessingResult process(Label label, PState pstate, ConstraintSet cset, InputOutput io);
const ConstraintSet* processNewOrExisting(ConstraintSet& cset);
EState createEState(Label label, PState pstate, ConstraintSet cset);
EState createEState(Label label, PState pstate, ConstraintSet cset, InputOutput io);
VariableValueMonitor variableValueMonitor;
bool _treatStdErrLikeFailedAssert;
bool _skipSelectedFunctionCalls;
ExplorationMode _explorationMode;
bool _topifyModeActive;
bool _explicitArrays;
// loop-aware mode
int _swapWorkListsCount; // currently only used for debugging purposes
int _iterations;
int _approximated_iterations;
int _curr_iteration_cnt;
int _next_iteration_cnt;
bool _externalFunctionSemantics;
string _externalErrorFunctionName; // the call of this function causes termination of analysis
string _externalNonDetIntFunctionName;
string _externalNonDetLongFunctionName;
string _externalExitFunctionName;
Timer _analysisTimer;
// =======================================================================
// ========================== LTLAnalyzer ================================
// =======================================================================
public:
bool isTerminationRelevantLabel(Label label);
bool isLTLRelevantEState(const EState* estate);
bool isLTLRelevantLabel(Label label);
bool isStdIOLabel(Label label);
std::set<const EState*> nonLTLRelevantEStates();
std::string generateSpotSTG();
// reduces all states different to stdin and stdout.
void stdIOFoldingOfTransitionGraph();
void semanticFoldingOfTransitionGraph();
// bypasses and removes all states that are not standard I/O states
// (old version, works correctly, but has a long execution time)
void removeNonIOStates();
// bypasses and removes all states that are not stdIn/stdOut/stdErr/failedAssert states
void reduceToObservableBehavior();
// erases transitions that lead directly from one output state to another output state
void removeOutputOutputTransitions();
// erases transitions that lead directly from one input state to another input state
void removeInputInputTransitions();
// cuts off all paths in the transition graph that lead to leaves
// (recursively until only paths of infinite length remain)
void pruneLeavesRec();
// connects start, input, output and worklist states according to possible paths in the transition graph.
// removes all states and transitions that are not necessary for the graph that only consists of these new transitions. The two parameters allow to select input and/or output states to remain in the STG.
void reduceGraphInOutWorklistOnly(bool includeIn=true, bool includeOut=true, bool includeErr=false);
// extracts input sequences leading to each discovered failing assertion where discovered for the first time.
// stores results in PropertyValueTable "reachabilityResults".
// returns length of the longest of these sequences if it can be guaranteed that all processed traces are the
// shortest ones leading to the individual failing assertion (returns -1 otherwise).
int extractAssertionTraces();
// LTLAnalyzer
private:
//returns a list of transitions representing existing paths from "startState" to all possible input/output/error states (no output -> output)
// collection of transitions to worklist states currently disabled. the returned set has to be deleted by the calling function.
boost::unordered_set<Transition*>* transitionsToInOutErrAndWorklist( const EState* startState,
bool includeIn,
bool includeOut,
bool includeErr);
boost::unordered_set<Transition*>* transitionsToInOutErrAndWorklist( const EState* currentState,
const EState* startState,
boost::unordered_set<Transition*>* results,
boost::unordered_set<const EState*>* visited,
bool includeIn, bool includeOut, bool includeErr);
// adds a string representation of the shortest input path from start state to assertEState to reachabilityResults. returns the length of the
// counterexample input sequence.
int addCounterexample(int assertCode, const EState* assertEState);
// returns a list of EStates from source to target. Target has to come before source in the STG (reversed trace).
std::list<const EState*>reverseInOutSequenceBreadthFirst(const EState* source, const EState* target, bool counterexampleWithOutput = false);
// returns a list of EStates from source to target (shortest input path).
// please note: target has to be a predecessor of source (reversed trace)
std::list<const EState*> reverseInOutSequenceDijkstra(const EState* source, const EState* target, bool counterexampleWithOutput = false);
std::list<const EState*> filterStdInOutOnly(std::list<const EState*>& states, bool counterexampleWithOutput = false) const;
std::string reversedInOutRunToString(std::list<const EState*>& run);
//returns the shortest possible number of input states on the path leading to "target".
int inputSequenceLength(const EState* target);
// begin of solver 9 functions
bool searchForIOPatterns(PState* startPState, int assertion_id, std::list<int>& inputSuffix, std::list<int>* partialTrace = NULL, int* inputPatternLength=NULL);
bool containsPatternTwoRepetitions(std::list<int>& sequence);
bool containsPatternTwoRepetitions(std::list<int>& sequence, int startIndex, int endIndex);
bool computePStateAfterInputs(PState& pState, std::list<int>& inputs, int thread_id, std::list<int>* iOSequence=NULL);
bool computePStateAfterInputs(PState& pState, int input, int thread_id, std::list<int>* iOSequence=NULL);
bool searchPatternPath(int assertion_id, PState& pState, std::list<int>& inputPattern, std::list<int>& inputSuffix, int thread_id,std::list<int>* iOSequence=NULL);
std::list<int> inputsFromPatternTwoRepetitions(std::list<int> pattern2r);
string convertToCeString(std::list<int>& ceAsIntegers, int maxInputVal);
int pStateDepthFirstSearch(PState* startPState, int maxDepth, int thread_id, std::list<int>* partialTrace, int maxInputVal, int patternLength, int PatternIterations);
// end of solver 9 functions
void generateSpotTransition(std::stringstream& ss, const Transition& t);
//less than comarisions on two states according to (#input transitions * #output transitions)
bool indegreeTimesOutdegreeLessThan(const EState* a, const EState* b);
public:
//stores a backup of the created transitionGraph
void storeStgBackup();
//load previous backup of the transitionGraph, storing the current version as a backup instead
void swapStgWithBackup();
//solver 8 becomes the active solver used by the analyzer. Deletion of previous data iff "resetAnalyzerData" is set to true.
void setAnalyzerToSolver8(EState* startEState, bool resetAnalyzerData);
// first: list of new states (worklist), second: set of found existing states
typedef pair<EStateWorkList,EStateSet> SubSolverResultType;
SubSolverResultType subSolver(const EState* currentEStatePtr);
PropertyValueTable* loadAssertionsToReconstruct(string filePath);
void insertInputVarValue(int i) { _inputVarValues.insert(i); }
void addInputSequenceValue(int i) { _inputSequence.push_back(i); }
void resetToEmptyInputSequence() { _inputSequence.clear(); }
void resetInputSequenceIterator() { _inputSequenceIterator=_inputSequence.begin(); }
const EState* getEstateBeforeMissingInput() {return _estateBeforeMissingInput;}
const EState* getLatestErrorEState() {return _latestErrorEState;}
int numberOfInputVarValues() { return _inputVarValues.size(); }
std::set<int> getInputVarValues() { return _inputVarValues; }
void setStgTraceFileName(std::string filename) {
_stg_trace_filename=filename;
std::ofstream fout;
fout.open(_stg_trace_filename.c_str()); // create new file/overwrite existing file
fout<<"START"<<endl;
fout.close(); // close. Will be used with append.
}
private:
std::string _stg_trace_filename;
public:
// only used temporarily for binary-binding prototype
std::map<std::string,VariableId> globalVarName2VarIdMapping;
std::vector<bool> binaryBindingAssert;
void setAnalyzerMode(AnalyzerMode am) { _analyzerMode=am; }
void setMaxTransitions(size_t maxTransitions) { _maxTransitions=maxTransitions; }
void setMaxIterations(size_t maxIterations) { _maxIterations=maxIterations; }
void setMaxTransitionsForcedTop(size_t maxTransitions) { _maxTransitionsForcedTop=maxTransitions; }
void setMaxIterationsForcedTop(size_t maxIterations) { _maxIterationsForcedTop=maxIterations; }
void setMaxBytes(long int maxBytes) { _maxBytes=maxBytes; }
void setMaxBytesForcedTop(long int maxBytesForcedTop) { _maxBytesForcedTop=maxBytesForcedTop; }
void setMaxSeconds(long int maxSeconds) { _maxSeconds=maxSeconds; }
void setMaxSecondsForcedTop(long int maxSecondsForcedTop) { _maxSecondsForcedTop=maxSecondsForcedTop; }
void setStartPState(PState startPState) { _startPState=startPState; }
void setReconstructMaxInputDepth(size_t inputDepth) { _reconstructMaxInputDepth=inputDepth; }
void setReconstructMaxRepetitions(size_t repetitions) { _reconstructMaxRepetitions=repetitions; }
void setReconstructPreviousResults(PropertyValueTable* previousResults) { _reconstructPreviousResults = previousResults; };
void setPatternSearchMaxDepth(size_t iODepth) { _patternSearchMaxDepth=iODepth; }
void setPatternSearchRepetitions(size_t patternReps) { _patternSearchRepetitions=patternReps; }
void setPatternSearchMaxSuffixDepth(size_t suffixDepth) { _patternSearchMaxSuffixDepth=suffixDepth; }
void setPatternSearchAssertTable(PropertyValueTable* patternSearchAsserts) { _patternSearchAssertTable = patternSearchAsserts; };
void setPatternSearchExploration(ExplorationMode explorationMode) { _patternSearchExplorationMode = explorationMode; };
private:
int _reconstructMaxInputDepth;
int _reconstructMaxRepetitions;
PropertyValueTable* _reconstructPreviousResults;
PropertyValueTable* _patternSearchAssertTable;
int _patternSearchMaxDepth;
int _patternSearchRepetitions;
int _patternSearchMaxSuffixDepth;
ExplorationMode _patternSearchExplorationMode;
std::list<FailedAssertion> _firstAssertionOccurences;
const EState* _estateBeforeMissingInput;
const EState* _latestOutputEState;
const EState* _latestErrorEState;
}; // end of class Analyzer
} // end of namespace CodeThorn
#include "RersSpecialization.h"
#endif
|
test.c | #include <stdio.h>
#include "../utilities/check.h"
#define N 100
int test_aligned(){
int a[N], aa[N];
int i, error = 0;
// initialize
for(i=0; i<N; i++)
aa[i] = a[i] = -1;
int *b = a;
// offload
#pragma omp target map(tofrom: b[0:100])
{
#pragma omp teams
#pragma omp distribute simd aligned(b: 8*sizeof(int))
for(int k=0; k<N; k++)
b[k] = k;
}
// host
for(i=0; i<N; i++)
aa[i] = i;
// check
for(i=0; i<N; i++) {
if (a[i] != aa[i])
printf("%d: a %d != %d (error %d)\n", i, a[i], aa[i], ++error);
if (error > 10) {
printf("abort\n");
return error;
}
}
return error;
}
int test_collapsed(){
int a[N], aa[N];
int i, error = 0;
// initialize
for(i=0; i<N; i++)
aa[i] = a[i] = -1;
// offload
#pragma omp target map(tofrom: a[0:100])
{
#pragma omp teams
#pragma omp distribute simd collapse(2)
for(int k=0; k<N/4; k++)
for(int l=0; l<4; l++)
a[k*4+l] = k*4+l;
}
// host
for(i=0; i<N; i++)
aa[i] = i;
// check
for(i=0; i<N; i++) {
if (a[i] != aa[i])
printf("%d: a %d != %d (error %d)\n", i, a[i], aa[i], ++error);
if (error > 10) {
printf("abort\n");
return error;
}
}
return error;
}
int test_lastprivate(){
int a[N], aa[N];
int i, error = 0;
// initialize
for(i=0; i<N; i++)
aa[i] = a[i] = -1;
// offload
int n;
#pragma omp target map(tofrom: a[0:100]) private(n)
{
#pragma omp teams num_teams(1)
{
#pragma omp distribute simd lastprivate(n)
for(int k=0; k<N; k++) {
a[k] = k;
n = k;
}
a[0] = n;
}
}
// host
for(i=0; i<N; i++)
aa[i] = i;
aa[0] = N-1;
// check
for(i=0; i<N; i++) {
if (a[i] != aa[i])
printf("%d: a %d != %d (error %d)\n", i, a[i], aa[i], ++error);
if (error > 10) {
printf("abort\n");
return error;
}
}
return error;
}
int test_linear(){
int a[N], aa[N];
int i, error = 0;
// initialize
for(i=0; i<N; i++)
aa[i] = a[i] = -1;
int l = 0;
// offload
#pragma omp target map(tofrom: a[0:100])
{
#pragma omp teams num_teams(1)
#pragma omp distribute simd
for(int k=0; k<N; k++) {
l = 2*k;
a[k] = l;
}
}
// host
for(i=0; i<N; i++)
aa[i] = 2*i;
// check
for(i=0; i<N; i++) {
if (a[i] != aa[i])
printf("%d: a %d != %d (error %d)\n", i, a[i], aa[i], ++error);
if (error > 10) {
printf("abort\n");
return error;;
}
}
return error;
}
int test_private(){
int a[N], aa[N];
int i, error = 0;
// initialize
for(i=0; i<N; i++)
aa[i] = a[i] = -1;
int n;
// offload
#pragma omp target map(tofrom: a[0:100])
{
#pragma omp teams
#pragma omp distribute simd private(n)
for(int k=0; k<N; k++) {
n = k;
a[k] = n;
}
}
// host
for(i=0; i<N; i++)
aa[i] = i;
// check
for(i=0; i<N; i++) {
if (a[i] != aa[i])
printf("%d: a %d != %d (error %d)\n", i, a[i], aa[i], ++error);
if (error > 10) {
printf("abort\n");
return error;
}
}
return error;
}
int test_safelen(){
int a[N], aa[N];
int i, error = 0;
// initialize
for(i=0; i<N; i++)
aa[i] = a[i] = -1;
// offload
#pragma omp target map(tofrom: a[0:100])
{
#pragma omp teams num_teams(1)
#pragma omp distribute simd safelen(2)
for(int k=0; k<100; k++) {
if (k > 1){
a[k] = a[k-2] + 2;
}
else{
a[k] = k;
}
}
}
// host
for(i=0; i<N; i++)
aa[i] = i;
// check
for(i=0; i<N; i++) {
if (a[i] != aa[i])
printf("%d: a %d != %d (error %d)\n", i, a[i], aa[i], ++error);
if (error > 10) {
printf("abort\n");
return error;
}
}
return error;
}
int main()
{
int error = 0;
check_offloading();
// Clauses
error += test_aligned();
error += test_collapsed();
error += test_lastprivate();
error += test_linear();
error += test_private();
error += test_safelen();
// report
printf("done with %d errors\n", error);
return error;
}
|
fixed_version.c | #include <stdio.h>
int main(){
int sum =0;
int temp[100];
int DATA_MAG = 100;
int H[100];
int scale_factor = 10;
int i;
int LUT[100];
#pragma omp parallel default (none) private(i) shared (temp, LUT, H, scale_factor, sum, DATA_MAG)
{
#pragma omp for
for (i =0; i < DATA_MAG;i++) {
H[i] = i;
temp[i]=0;
}
#pragma omp single
for (i = 0; i < DATA_MAG; i++)
{
sum += H[i];
temp[i]=sum;
}
#pragma omp for
for (i = 0; i < DATA_MAG; i++){
LUT[i] = temp[i] * scale_factor;
}
}
for (i = 0; i < 100; i++) {
printf("%d ",LUT[i]);
}
return 0;
}
|
parallel.h | /**
* @file parallel.h This file contains the functionality for parallel operation
* @author TPOC: contact@palisade-crypto.org
*
* @copyright Copyright (c) 2019, New Jersey Institute of Technology (NJIT)
* 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 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 THE COPYRIGHT HOLDER 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.
*
*/
#ifndef SRC_CORE_LIB_UTILS_PARALLEL_H_
#define SRC_CORE_LIB_UTILS_PARALLEL_H_
#include "omp.h"
//#include <iostream>
namespace lbcrypto {
class ParallelControls {
int machineThreads;
public:
// @Brief CTOR, enables parallel operations as default
// Cache the number of machine threads the system reports (can be
// overridden by environment variables)
// enable on startup by default
ParallelControls() {
machineThreads = omp_get_max_threads();
Enable();
}
// @Brief Enable() enables parallel operation
void Enable() {
omp_set_num_threads(machineThreads);
}
// @Brief Disable() disables parallel operation
void Disable() {
omp_set_num_threads(0);
}
int GetMachineThreads() const { return machineThreads; }
// @Brief returns current number of threads that are usable
// @return int # threads
int GetNumThreads() {
int out, nthreads, tid;
// Fork a team of threads giving them their own copies of variables
//so we can see how many threads we have to work with
#pragma omp parallel private( tid)
{
/* Obtain thread number */
tid = omp_get_thread_num();
/* Only master thread does this */
if (tid == 0) {
nthreads = omp_get_num_threads();
out = nthreads;
}
}
//std::cout << "\nNumber of threads = " << out << std::endl;
return(out);
}
// @Brief sets number of threads to use (limited by system value)
void SetNumThreads(int nthreads) {
//set number of thread, but limit it to the system set
//number of machine threads...
if (nthreads > machineThreads) {
nthreads = machineThreads;
}
omp_set_num_threads(nthreads);
}
};
extern ParallelControls PalisadeParallelControls;
}
#endif /* SRC_CORE_LIB_UTILS_PARALLEL_H_ */
|
omp_critical_with_hint.c | // RUN: %libomp-compile-and-run
#include <stdio.h>
#include <omp.h>
#include "omp_testsuite.h"
int test_omp_critical(int iter) {
int sum;
int known_sum;
sum = 0;
#pragma omp parallel
{
int mysum = 0;
int i;
#pragma omp for
for (i = 0; i < 1000; i++)
mysum = mysum + i;
switch (iter % 4) {
case 0:
#pragma omp critical(c0) hint(omp_sync_hint_uncontended)
sum = mysum + sum;
break;
case 1:
#pragma omp critical(c1) hint(omp_sync_hint_contended)
sum = mysum + sum;
break;
case 2:
#pragma omp critical(c2) hint(omp_sync_hint_nonspeculative)
sum = mysum + sum;
break;
case 3:
#pragma omp critical(c3) hint(omp_sync_hint_speculative)
sum = mysum + sum;
break;
default:;
}
}
known_sum = 999 * 1000 / 2;
return (known_sum == sum);
}
int main() {
int i;
int num_failed = 0;
for (i = 0; i < 4 * REPETITIONS; i++) {
if (!test_omp_critical(i)) {
num_failed++;
}
}
return num_failed;
}
|
GrB_Matrix_serialize.c | //------------------------------------------------------------------------------
// GrB_Matrix_serialize: copy a matrix into a serialized array of bytes
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2022, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// serialize a GrB_Matrix into a blob of bytes
// This method is similar to GxB_Matrix_serialize. In contrast with the GrB*
// method, this method requires the user application to allocate the blob
// first, which must be non-NULL on input. The required size of the blob is
// computed by GrB_Matrix_serializeSize. Example usage:
/*
void *blob = NULL ;
GrB_Index blob_size = 0 ;
GrB_Matrix A, B = NULL ;
// construct a matrix A, then serialized it:
GrB_Matrix_serializeSize (&blob_size, A) ; // loose upper bound
blob = malloc (blob_size) ; // user mallocs the blob
GrB_Matrix_serialize (blob, &blob_size, A) ; // returns actual size
blob = realloc (blob, blob_size) ; // user can shrink the blob
GrB_Matrix_deserialize (&B, atype, blob, blob_size) ;
free (blob) ; // user frees the blob
*/
#include "GB.h"
#include "GB_serialize.h"
GrB_Info GrB_Matrix_serialize // serialize a GrB_Matrix to a blob
(
// output:
void *blob, // the blob, already allocated in input
// input/output:
GrB_Index *blob_size_handle, // size of the blob on input. On output,
// the # of bytes used in the blob.
// input:
GrB_Matrix A // matrix to serialize
)
{
//--------------------------------------------------------------------------
// check inputs
//--------------------------------------------------------------------------
GB_WHERE1 ("GrB_Matrix_serialize (blob, &blob_size, A)") ;
GB_BURBLE_START ("GrB_Matrix_serialize") ;
GB_RETURN_IF_NULL (blob) ;
GB_RETURN_IF_NULL (blob_size_handle) ;
GB_RETURN_IF_NULL_OR_FAULTY (A) ;
// no descriptor, so assume the default method
int method = GxB_DEFAULT ;
// Context will hold the default # of threads, which can be controlled
// by GxB_Global_Option_set.
//--------------------------------------------------------------------------
// serialize the matrix into the preallocated blob
//--------------------------------------------------------------------------
size_t blob_size = (size_t) (*blob_size_handle) ;
GrB_Info info = GB_serialize ((GB_void **) &blob, &blob_size, A, method,
Context) ;
if (info == GrB_SUCCESS)
{
(*blob_size_handle) = (GrB_Index) blob_size ;
}
GB_BURBLE_END ;
#pragma omp flush
return (info) ;
}
|
GraphCutParallel.h | /*
* MIT License
*
* Copyright (c) 2018-2019 Benjamin Köhler
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#pragma once
#ifndef BKTOOLS_GRAPHCUTPARALLEL_H
#define BKTOOLS_GRAPHCUTPARALLEL_H
#if defined(__GNUC__) && defined(_OPENMP)
#include <parallel/algorithm>
#else
#include <algorithm>
#endif
#include <array>
#include <chrono>
#include <cstdint>
#include <iostream>
#include <limits>
#include <numeric>
#include <utility>
#include <tuple>
#include <type_traits>
#include <vector>
#include <bkTools/graphcut/GraphCutBase.h>
#include <bkTools/graphcut/GraphCutParallelBlock.h>
#include <bkTools/graphcut/Edge.h>
#include <bkTools/graphcut/gc_definitions.h>
#ifdef BK_EMIT_PROGRESS
#include <bkTools/progress/Progress.h>
#include <bkTools/progress/GlobalProgressManager.h>
#include <bkTools/localization/GlobalLocalizationManager.h>
#endif
namespace bk
{
template<int TDims> class GraphCutParallel : public gc_details::GraphCutBase<TDims, GraphCutParallel<TDims>>
{
//====================================================================================================
//===== DEFINITIONS
//====================================================================================================
using self_type = GraphCutParallel<TDims>;
using base_type = gc_details::GraphCutBase<TDims, GraphCutParallel<TDims>>;
using gc = typename base_type::gc;
using edge_type = gc_details::Edge<TDims>;
using block_type = gc_details::GraphCutParallelBlock<TDims>;
public:
using flag_type = typename base_type::flag_type;
using id_type = typename base_type::id_type;
friend base_type;
//====================================================================================================
//===== CONSTRUCTORS & DESTRUCTOR
//====================================================================================================
public:
/// @{ -------------------------------------------------- CTOR
constexpr GraphCutParallel() = default;
constexpr GraphCutParallel(const self_type&) = default;
constexpr GraphCutParallel(self_type&&) noexcept = default;
/// @}
/// @{ -------------------------------------------------- DTOR
~GraphCutParallel() = default;
/// @}
//====================================================================================================
//===== SETTER
//====================================================================================================
/// @{ -------------------------------------------------- OPERATOR =
[[maybe_unused]] self_type& operator=(const self_type&) = default;
[[maybe_unused]] self_type& operator=(self_type&&) noexcept = default;
/// @}
private:
/// @{ -------------------------------------------------- SET ACTIVE
void _set_active(const id_type& node)
{
flag_type& fc = this->flag(node);
if (!(fc & gc::FLAG_ORPHAN()) && !(fc & gc::FLAG_FREE_SET()))
{ fc |= gc::FLAG_ACTIVE(); }
}
/// @}
//====================================================================================================
//===== FUNCTIONS
//====================================================================================================
/// @{ -------------------------------------------------- HELPER: RESET_IMPL
static constexpr void reset_impl()
{ block_type::reset_id_counter(); }
/// @}
/// @{ -------------------------------------------------- HELPER: INIT BLOCKS
template<int I>
void _init_blocks(id_type& p, const id_type& numBlocks, std::vector<block_type>& blocks, std::vector<edge_type>& edges, unsigned int& edgecnt, unsigned int& blockidcnt)
{
for (int x = 0; x < numBlocks[I]; ++x)
{
p[I] = x;
if constexpr (I != TDims - 1)
{ _init_blocks<I + 1>(p, numBlocks, blocks, edges, edgecnt, blockidcnt); }
else
{
id_type size_from;
for (int dimId = 0; dimId < TDims; ++dimId)
{ size_from[dimId] = p[dimId] * gc::BLOCK_SIZE(dimId); }
blocks.emplace_back(this->_size, size_from, /*timestamp_init=*/1, this->_residual, this->_distance_to_terminal, this->_timestamp, this->_flags);
for (int dimId = 0; dimId < TDims; ++dimId)
{
if (p[dimId] < numBlocks[dimId] - 1) /// edge to successor
{
edge_type& e = edges[edgecnt++];
e.blockID0 = blockidcnt;
e.blockID1 = blockidcnt;
unsigned int blockID1offset = 1;
for (int k = dimId + 1; k < TDims; ++k)
{ blockID1offset *= numBlocks[k]; }
e.blockID1 += blockID1offset;
for (int k = 0; k < TDims; ++k)
{
if (k == dimId)
{
e.size_to[k] = (p[k] + 1) * gc::BLOCK_SIZE(k);
e.size_from[k] = e.size_to[k] - 1;
}
else
{
e.size_from[k] = p[k] * gc::BLOCK_SIZE(k);
e.size_to[k] = std::min(this->_size[k], e.size_from[k] + gc::BLOCK_SIZE(k));
}
}
}
}
++blockidcnt;
}
} // for x
}
/// @}
/// @{ -------------------------------------------------- HELPER: COUNT POTENTIAL AUGMENTATIONS
template<int I, int skipDim>
void _count_potential_augmentations(const edge_type& e, id_type& p, unsigned int& score) const
{
if constexpr (I == skipDim && I != TDims - 1)
{ _count_potential_augmentations<I + 1, skipDim>(e, p, score); }
else
{
for (int x = e.size_from[I]; x < e.size_to[I]; ++x)
{
p[I] = x;
const id_type neigh = gc::NEIGHBOR_SUCCESSOR(p, skipDim);
if (!this->are_in_same_set(p, neigh) && !this->is_in_free_set(p) && !this->is_in_free_set(neigh))
{ ++score; }
}
}
}
template<int I = 0>
[[nodiscard]] unsigned int count_potential_augmentations(const edge_type& e) const
{
if constexpr (I < TDims)
{
if (e.size_to[I] - e.size_from[I] == 1)
{
id_type p;
p.fill(0);
p[I] = e.size_from[I];
unsigned int score = 0;
_count_potential_augmentations<0, I>(e, p, score);
if (score != 0)
{ return score; }
}
else
{ return count_potential_augmentations<I + 1>(e); }
}
return 0U;
}
/// @}
/// @{ -------------------------------------------------- HELPER: ACTIVATE NODES FOR POTENTIAL AUGMENTATION ON EDGE
template<int I, int skipDim>
void __activate_nodes_for_potential_augmentation_on_edge(const edge_type& e, id_type& p)
{
if constexpr (I != TDims - 1)
{ _activate_nodes_for_potential_augmentation_on_edge<I + 1, skipDim, false>(e, p); }
else
{
const id_type neigh = gc::NEIGHBOR_SUCCESSOR(p, skipDim);
if (!this->are_in_same_set(p, neigh))
{
_set_active(p);
_set_active(neigh);
}
}
}
template<int I, int skipDim, bool first = true>
void _activate_nodes_for_potential_augmentation_on_edge(const edge_type& e, id_type& p)
{
if constexpr (I == skipDim && I != TDims - 1)
{ _activate_nodes_for_potential_augmentation_on_edge<I + 1, skipDim, first>(e, p); }
else
{
if constexpr (first)
{
#pragma omp parallel for
for (int x = e.size_from[I]; x < e.size_to[I]; ++x)
{
p[I] = x;
__activate_nodes_for_potential_augmentation_on_edge<I, skipDim>(e, p);
}
}
else
{
for (int x = e.size_from[I]; x < e.size_to[I]; ++x)
{
p[I] = x;
__activate_nodes_for_potential_augmentation_on_edge<I, skipDim>(e, p);
}
}
}
}
template<int I = 0>
void activate_nodes_for_potential_augmentation_on_edge(const edge_type& e)
{
if constexpr (I < TDims)
{
if (e.size_to[I] - e.size_from[I] == 1)
{
id_type p;
p[I] = e.size_from[I];
_activate_nodes_for_potential_augmentation_on_edge<0, I>(e, p);
}
else
{ activate_nodes_for_potential_augmentation_on_edge<I + 1>(e); }
}
}
/// @}
public:
/// @{ -------------------------------------------------- RUN
void run()
{
/*
* validity check
*/
if (this->_up2date)
{ return; }
const bool anySizeIsZero = 0 == std::accumulate(this->_size.begin(), this->_size.end(), 1, [](int x, int y)
{ return x * y; });
if (anySizeIsZero || this->_connected_to_source.empty() || this->_connected_to_sink.empty())
{
std::cerr << "init graph cut first" << std::endl;
return;
}
/*
* determine num blocks per dimension
* and num blocks total
*/
id_type numBlocks;
int numBlocksTotal = 1;
for (int dimId = 0; dimId < TDims; ++dimId)
{
numBlocks[dimId] = (this->_size[dimId] / gc::BLOCK_SIZE(dimId)) + (this->_size[dimId] % gc::BLOCK_SIZE(dimId) ? 1 : 0);
numBlocksTotal *= numBlocks[dimId];
}
/*
* determine num edges total
*/
int numEdgesTotal = 0;
for (int dimId = 0; dimId < TDims; ++dimId)
{
int tempNumEdges = numBlocks[dimId] - 1;
for (int k = 0; k < dimId; ++k)
{ tempNumEdges *= numBlocks[k]; }
for (int k = dimId + 1; k < TDims; ++k)
{ tempNumEdges *= numBlocks[k]; }
numEdgesTotal += tempNumEdges;
}
#ifdef BK_EMIT_PROGRESS
bk::Progress& prog = bk_progress.emplace_task(8 + numBlocksTotal + numEdgesTotal, ___("Performing graph cut"));
#endif
this->reset();
#ifdef BK_EMIT_PROGRESS
prog.increment(1);
#endif
constexpr int timestamp_init = 1;
const std::chrono::system_clock::time_point clock_start = std::chrono::system_clock::now(); // todo
/*
* divide image into blocks
*/
block_type::reset_id_counter();
std::vector<block_type> blocks;
std::vector<edge_type> edges;
#pragma omp parallel sections
{
#pragma omp section
{
for (unsigned int i = 0; i < this->_connected_to_source.size(); ++i)
{
const id_type& s = this->_connected_to_source[i];
this->set_source_as_parent(s);
_set_active(s);
this->distance_to_terminal(s) = 0;
this->timestamp(s) = timestamp_init;
}
#pragma omp critical (gc_progress)
{
#ifdef BK_EMIT_PROGRESS
prog.increment(1);
#endif
}
for (unsigned int i = 0; i < this->_connected_to_sink.size(); ++i)
{
const id_type& s = this->_connected_to_sink[i];
this->set_sink_as_parent(s);
_set_active(s);
this->distance_to_terminal(s) = 0;
this->timestamp(s) = timestamp_init;
}
#pragma omp critical (gc_progress)
{
#ifdef BK_EMIT_PROGRESS
prog.increment(1);
#endif
}
} // omp section
#pragma omp section
{
blocks.reserve(2 * numBlocksTotal);
edges.resize(numEdgesTotal);
unsigned int edgecnt = 0;
unsigned int blockidcnt = 0;
for (int x = 0; x < numBlocks[0]; ++x)
{
id_type p;
p.fill(0);
p[0] = x;
_init_blocks<1>(p, numBlocks, blocks, edges, edgecnt, blockidcnt);
}
#pragma omp critical (gc_progress)
{
#ifdef BK_EMIT_PROGRESS
prog.increment(1);
#endif
}
} // omp section
}; // omp parallel sections
//------------------------------------------------------------------------------------------------------
// Phase 1: Uniform Partitioning
//------------------------------------------------------------------------------------------------------
/*
* process blocks
*/
#ifdef BK_EMIT_PROGRESS
int cnt = 0;
#endif
#pragma omp parallel for schedule(dynamic, 1)
for (unsigned int blockid = 0; blockid < blocks.size(); ++blockid)
{
blocks[blockid].run();
#ifdef BK_EMIT_PROGRESS
prog.increment(1);
++cnt;
#endif
}
#ifdef BK_EMIT_PROGRESS
prog.increment(numBlocksTotal-cnt);
#endif
//------------------------------------------------------------------------------------------------------
// Phase 2 preparation
//------------------------------------------------------------------------------------------------------
// this can happen in rare cases where a block consists only of one rows/cols/slices
edges.erase(std::remove_if(edges.begin(), edges.end(), [&](const edge_type& e)
{
for (int dimId = 0; dimId < TDims; ++dimId)
{
if (e.size_from[dimId] >= this->_size[dimId] - 1)
{ return true; }
}
return false;
}), edges.end());
/*
* count potential augmentations on edges
*/
#pragma omp parallel for
for (unsigned int i = 0; i < edges.size(); ++i)
{
edge_type& e = edges[i];
e.score = count_potential_augmentations<0>(e);
}
#ifdef BK_EMIT_PROGRESS
prog.increment(1);
#endif
/*
* sort edge scores (descending)
*/
#if defined(__GNUC__) && defined(_OPENMP)
__gnu_parallel
#else
std
#endif
::sort(edges.begin(), edges.end(), [](const edge_type& a, const edge_type& b) -> bool
{ return b.score < a.score; });
#ifdef BK_EMIT_PROGRESS
prog.increment(1);
#endif
//------------------------------------------------------------------------------------------------------
// Phase 2: Adaptive Merging
//------------------------------------------------------------------------------------------------------
#pragma omp parallel for num_threads(gc::NUM_THREADS())
for (unsigned int t = 0; t < gc::NUM_THREADS(); ++t)
{
block_type* block0 = nullptr;
block_type* block1 = nullptr;
block_type* newblock = nullptr;
unsigned int block0id = 0;
unsigned int block1id = 0;
std::list<edge_type> current_edges;
unsigned int newBlockid = 0;
while (true)
{
current_edges.clear();
#pragma omp critical (edge_lock)
{
for (auto it = edges.begin(); it != edges.end(); ++it)
{
block0 = &blocks[it->blockID0];
block1 = &blocks[it->blockID1];
if (!block0->_locked && !block1->_locked)
{
block0id = block0->_id;
block1id = block1->_id;
#pragma omp parallel sections
{
#pragma omp section
{
/*
* searching further edges that combine the same blocks
* e.g.: --------------------
* | | |
* (----)-------
* | (|) | |
* --------------------
* | | | |
* --------------------
*/
current_edges.push_back(*it);
it = edges.erase(it);
while (it != edges.end())
{
if ((it->blockID0 == block0id && it->blockID1 == block1id) || (it->blockID0 == block1id && it->blockID1 == block0id))
{
current_edges.push_back(*it);
it = edges.erase(it);
}
else
{ ++it; }
}
} // omp section
#pragma omp section
{
blocks.emplace_back(std::move(block0->join(*block1)));
newblock = &blocks.back();
newBlockid = newblock->_id;
newblock->_locked = true;
} // omp section
}; // omp parallel sections
#pragma omp parallel for
for (unsigned int i = 0; i < edges.size(); ++i)
{
edge_type& e = edges[i];
if (e.blockID0 == block0id || e.blockID0 == block1id)
{ e.blockID0 = newBlockid; }
else if (e.blockID1 == block0id || e.blockID1 == block1id)
{ e.blockID1 = newBlockid; }
}
break; // for edges
} // if blocks not locked
} // for edges
} // lock
if (current_edges.empty())
{ break; }
/*
* active nodes for potential augmentation on edge
*/
for (const auto& e: current_edges)
{ activate_nodes_for_potential_augmentation_on_edge(e); }
newblock->run();
#pragma omp critical (edge_lock)
{ newblock->_locked = false; }
#pragma omp critical (gc_progress)
{
#ifdef BK_EMIT_PROGRESS
prog.increment(current_edges.size());
#endif
}
} // while true
} // for threads
#pragma omp parallel for
for (unsigned int i = 0; i < this->_connected_to_source.size(); ++i)
{ this->set_source_set(this->_connected_to_source[i]); }
#ifdef BK_EMIT_PROGRESS
prog.increment(1);
#endif
#pragma omp parallel for
for (unsigned int i = 0; i < this->_connected_to_sink.size(); ++i)
{ this->set_sink_set(this->_connected_to_sink[i]); }
#ifdef BK_EMIT_PROGRESS
prog.set_finished();
#endif
const std::chrono::system_clock::time_point clock_stop = std::chrono::system_clock::now();
const unsigned int time_in_sec = static_cast<unsigned int>(std::chrono::duration_cast<std::chrono::seconds>(clock_stop - clock_start).count());
const unsigned int time_in_ms = static_cast<unsigned int>(std::chrono::duration_cast<std::chrono::milliseconds>(clock_stop - clock_start).count());
std::cout << "graph cut finished in " << time_in_sec << " s (" << time_in_ms << " ms)" << std::endl;
this->_up2date = true;
}
/// @}
}; // class GraphCutParallel
} // namespace bk
#endif //BKTOOLS_GRAPHCUTPARALLEL_H
|
integrate.h | /*
* n-dim Gaussian quadrature for general functions with vector output
* using OpenMP for parallelization
*
* Hung Dang (May 12, 2011)
*/
#ifndef __INTEGRATE_H__
#define __INTEGRATE_H__
#include <cstring>
namespace md_int {
//
// N : dim of space for integrating
// M : size of the integrand vector
// L : size of vector bp
// ret must be allocated to be a vector of size M
//
inline void calculate_id(const int &n, const int &L, const int &d, int *&new_num)
{
int div, rem;
div = n;
int id = 0;
while (div != 0) {
rem = div % L;
div = div / L;
new_num[id] = rem;
id++;
}
for (int i = id; i < d; ++i)
new_num[i] = 0;
}
template<typename T>
T* integrate(const int N, const int M,
const double *xl, const double *xh,
const int &L, const double *bp, const double *wf,
void (*integrand)(const int &, const double *in, const int &, T *out, const void *data),
void *integrand_data)
{
double *qx = new double[N],
*px = new double[N];
for (int i = 0; i < N; ++i) {
qx[i] = (xh[i] - xl[i])/2.;
px[i] = (xh[i] + xl[i])/2.;
}
T *ret = new T[M];
memset(ret, 0, M*sizeof(T));
#pragma omp parallel default(shared)
{
double *x = new double[N];
double weight;
int *id = new int[N];
T *tmp = new T[M];
T *ret_local = new T[M];
memset(ret_local, 0, M*sizeof(T));
#pragma omp for
for (int n = 0; n < int(pow(L, N)); ++n) {
// calculate the index id for each n
calculate_id(n, L, N, id);
// calculate the integrand and add to vector ret
weight = 1.;
for (int i = 0; i < N; ++i) {
x[i] = qx[i]*bp[id[i]] + px[i];
weight *= wf[id[i]];
}
integrand(N, x, M, tmp, integrand_data);
for (int i = 0; i < M; ++i)
ret_local[i] += tmp[i]*weight;
}
#pragma omp critical
{
for (int i = 0; i < M; ++i)
ret[i] += ret_local[i];
}
delete[] x;
delete[] id;
delete[] tmp;
delete[] ret_local;
}
// Jacobian
for (int i = 0; i < M; ++i)
for (int j = 0; j < N; ++j)
ret[i] *= qx[j];
delete[] qx;
delete[] px;
return ret;
}
} // end of namespace md_int
#endif
|
core_zsyr2k.c | /**
*
* @file
*
* PLASMA is a software package provided by:
* University of Tennessee, US,
* University of Manchester, UK.
*
* @precisions normal z -> c d s
*
**/
#include <plasma_core_blas.h>
#include "plasma_types.h"
#include "core_lapack.h"
/***************************************************************************//**
*
* @ingroup core_syr2k
*
* Performs one of the symmetric rank 2k operations
*
* \f[ C = \alpha A \times B^T + \alpha B \times A^T + \beta C, \f]
* or
* \f[ C = \alpha A^T \times B + \alpha B^T \times A + \beta C, \f]
*
* where alpha and beta are scalars,
* C is an n-by-n symmetric matrix, and A and B are n-by-k matrices
* in the first case and k-by-n matrices in the second case.
*
*******************************************************************************
*
* @param[in] uplo
* - PlasmaUpper: Upper triangle of C is stored;
* - PlasmaLower: Lower triangle of C is stored.
*
* @param[in] trans
* - PlasmaNoTrans:
* \f[ C = \alpha A \times B^T + \alpha B \times A^T + \beta C; \f]
* - PlasmaTrans:
* \f[ C = \alpha A^T \times B + \alpha B^T \times A + \beta C. \f]
*
* @param[in] n
* The order of the matrix C. n >= zero.
*
* @param[in] k
* If trans = PlasmaNoTrans, number of columns of the A and B matrices;
* if trans = PlasmaTrans, number of rows of the A and B matrices.
*
* @param[in] alpha
* The scalar alpha.
*
* @param[in] A
* An lda-by-ka matrix.
* If trans = PlasmaNoTrans, ka = k;
* if trans = PlasmaTrans, ka = n.
*
* @param[in] lda
* The leading dimension of the array A.
* If trans = PlasmaNoTrans, lda >= max(1, n);
* if trans = PlasmaTrans, lda >= max(1, k).
*
* @param[in] B
* An ldb-by-kb matrix.
* If trans = PlasmaNoTrans, kb = k;
* if trans = PlasmaTrans, kb = n.
*
* @param[in] ldb
* The leading dimension of the array B.
* If trans = PlasmaNoTrans, ldb >= max(1, n);
* if trans = PlasmaTrans, ldb >= max(1, k).
*
* @param[in] beta
* The scalar beta.
*
* @param[in,out] C
* An ldc-by-n matrix.
* On exit, the uplo part of the matrix is overwritten
* by the uplo part of the updated matrix.
*
* @param[in] ldc
* The leading dimension of the array C. ldc >= max(1, n).
*
******************************************************************************/
__attribute__((weak))
void plasma_core_zsyr2k(plasma_enum_t uplo, plasma_enum_t trans,
int n, int k,
plasma_complex64_t alpha, const plasma_complex64_t *A, int lda,
const plasma_complex64_t *B, int ldb,
plasma_complex64_t beta, plasma_complex64_t *C, int ldc)
{
cblas_zsyr2k(CblasColMajor,
(CBLAS_UPLO)uplo, (CBLAS_TRANSPOSE)trans,
n, k,
CBLAS_SADDR(alpha), A, lda,
B, ldb,
CBLAS_SADDR(beta), C, ldc);
}
/******************************************************************************/
void plasma_core_omp_zsyr2k(
plasma_enum_t uplo, plasma_enum_t trans,
int n, int k,
plasma_complex64_t alpha, const plasma_complex64_t *A, int lda,
const plasma_complex64_t *B, int ldb,
plasma_complex64_t beta, plasma_complex64_t *C, int ldc,
plasma_sequence_t *sequence, plasma_request_t *request)
{
int ak;
int bk;
if (trans == PlasmaNoTrans) {
ak = k;
bk = k;
}
else {
ak = n;
bk = n;
}
#pragma omp task depend(in:A[0:lda*ak]) \
depend(in:B[0:ldb*bk]) \
depend(inout:C[0:ldc*n])
{
if (sequence->status == PlasmaSuccess)
plasma_core_zsyr2k(uplo, trans,
n, k,
alpha, A, lda,
B, ldb,
beta, C, ldc);
}
}
|
convolution_3x3_int8.h | // SenseNets is pleased to support the open source community by supporting ncnn available.
//
// Copyright (C) 2018 SenseNets Technology Ltd. All rights reserved.
// Copyright (C) 2018 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.
#if __ARM_NEON
#include <arm_neon.h>
#endif // __ARM_NEON
static void conv3x3s1_transform_kernel_int8_neon(const Mat& _kernel, Mat& kernel_tm, int inch, int outch)
{
kernel_tm.create(4*9, inch, outch/4 + outch%4, (size_t)1u);
const signed char* kernel = _kernel;
int p=0;
for (; p+3<outch; p+=4)
{
const signed char* k0 = kernel + (p+0)*inch*9;
const signed char* k1 = kernel + (p+1)*inch*9;
const signed char* k2 = kernel + (p+2)*inch*9;
const signed char* k3 = kernel + (p+3)*inch*9;
signed char* ktmp = kernel_tm.channel(p/4);
for (int q=0; q<inch; q++)
{
for (int k=0; k<9; k++)
{
ktmp[0] = k0[k];
ktmp[1] = k1[k];
ktmp[2] = k2[k];
ktmp[3] = k3[k];
ktmp += 4;
}
k0 += 9;
k1 += 9;
k2 += 9;
k3 += 9;
}
}
for (; p<outch; p++)
{
const signed char* k0 = kernel + (p+0)*inch*9;
signed char* ktmp = kernel_tm.channel(p/4 + p%4);
for (int q=0; q<inch; q++)
{
for (int k=0; k<9; k++)
{
ktmp[k] = k0[k];
}
ktmp += 9;
k0 += 9;
}
}
}
#if __aarch64__
static void conv3x3s1_int8_neon(const Mat &bottom_blob, Mat &top_blob, const Mat &_kernel, const Option& opt)
{
int w = bottom_blob.w;
//int h = bottom_blob.h;
int inch = bottom_blob.c;
int outw = top_blob.w;
int outh = top_blob.h;
int outch = top_blob.c;
const signed char *kernel = _kernel;
#pragma omp parallel for num_threads(opt.num_threads)
for (int p = 0; p < outch; p++)
{
Mat out0 = top_blob.channel(p);
out0.fill(0);
const signed char *kernel0 = (const signed char *)kernel + p * inch * 9;
for (int q = 0; q < inch; q++)
{
int *outptr0 = out0;
const signed char *img0 = bottom_blob.channel(q);
const signed char *r0 = img0;
const signed char *r1 = img0 + w;
const signed char *r2 = img0 + w * 2;
for (int i = 0; i < outh; i++)
{
int remain = outw;
for (; remain > 0; remain--)
{
int sum0 = 0;
sum0 += (int)r0[0] * kernel0[0];
sum0 += (int)r0[1] * kernel0[1];
sum0 += (int)r0[2] * kernel0[2];
sum0 += (int)r1[0] * kernel0[3];
sum0 += (int)r1[1] * kernel0[4];
sum0 += (int)r1[2] * kernel0[5];
sum0 += (int)r2[0] * kernel0[6];
sum0 += (int)r2[1] * kernel0[7];
sum0 += (int)r2[2] * kernel0[8];
*outptr0 += sum0;
r0++;
r1++;
r2++;
outptr0++;
}
r0 += 2;
r1 += 2;
r2 += 2;
}
kernel0 += 9;
}
}
}
static void conv3x3s2_int8_neon(const Mat &bottom_blob, Mat &top_blob, const Mat &_kernel, const Option& opt)
{
int w = bottom_blob.w;
//int h = bottom_blob.h;
int inch = bottom_blob.c;
int outw = top_blob.w;
int outh = top_blob.h;
int outch = top_blob.c;
const int tailstep = w - 2 * outw + w;
const signed char *kernel = _kernel;
#pragma omp parallel for num_threads(opt.num_threads)
for (int p = 0; p < outch; p++)
{
Mat out0 = top_blob.channel(p);
out0.fill(0);
const signed char *kernel0 = (const signed char *)kernel + p * inch * 9;
for (int q = 0; q < inch; q++)
{
int *outptr0 = out0;
const signed char *img0 = bottom_blob.channel(q);
const signed char *r0 = img0;
const signed char *r1 = img0 + w;
const signed char *r2 = img0 + w * 2;
for (int i = 0; i < outh; i++)
{
int remain = outw;
for (; remain > 0; remain--)
{
int sum0 = 0;
sum0 += (int)r0[0] * (int)kernel0[0];
sum0 += (int)r0[1] * (int)kernel0[1];
sum0 += (int)r0[2] * (int)kernel0[2];
sum0 += (int)r1[0] * (int)kernel0[3];
sum0 += (int)r1[1] * (int)kernel0[4];
sum0 += (int)r1[2] * (int)kernel0[5];
sum0 += (int)r2[0] * (int)kernel0[6];
sum0 += (int)r2[1] * (int)kernel0[7];
sum0 += (int)r2[2] * (int)kernel0[8];
*outptr0 += sum0;
r0 += 2;
r1 += 2;
r2 += 2;
outptr0++;
}
r0 += tailstep;
r1 += tailstep;
r2 += tailstep;
}
kernel0 += 9;
}
}
}
#else // __aarch64__
static void conv3x3s1_neon_s8(const Mat& bottom_blob, Mat& top_blob, const Mat& _kernel, const Option& opt)
{
int w = bottom_blob.w;
int h = bottom_blob.h;
int inch = bottom_blob.c;
int outw = top_blob.w;
int outh = top_blob.h;
int outch = top_blob.c;
const signed char* kernel = _kernel;
int nn_outch = outch >> 1;
int remain_outch_start = nn_outch << 1;
#pragma omp parallel for num_threads(opt.num_threads)
for (int pp=0; pp < nn_outch; pp++)
{
int p = pp * 2;
Mat out0 = top_blob.channel(p);
Mat out1 = top_blob.channel(p+1);
out0.fill(0);
out1.fill(0);
const signed char* kernel0 = (const signed char *)kernel + p * inch * 9;
const signed char* kernel1 = (const signed char *)kernel + (p + 1) * inch * 9;
for (int q=0; q<inch; q++)
{
int* outptr0 = out0;
int* outptr1 = out1;
int* outptr0n = outptr0 + outw;
int* outptr1n = outptr1 + outw;
const signed char* img0 = bottom_blob.channel(q);
const signed char* r0 = img0;
const signed char* r1 = img0 + w;
const signed char* r2 = img0 + w * 2;
const signed char* r3 = img0 + w * 3;
const signed char* k00 = kernel0;
const signed char* k03 = kernel0 + 3;
const signed char* k06 = kernel0 + 6;
const signed char* k10 = kernel1;
const signed char* k13 = kernel1 + 3;
const signed char* k16 = kernel1 + 6;
int i = 0;
for (; i+1 < outh; i+=2)
{
int nn = outw >> 3;
int remain = outw & 7;
if (nn > 0)
{
asm volatile(
"vld1.8 {d26-d27}, [%0] \n"
"vld1.8 {d28-d29}, [%1] \n"
: "=r"(kernel0), // %0
"=r"(kernel1) // %1
: "0"(kernel0),
"1"(kernel1)
: "cc", "memory"
);
asm volatile(
"0: \n"
"pld [%5, #128] \n"
"vld1.32 {d0-d1}, [%5] \n"// r0
"add %5, #8 \n"
"vext.8 d2, d0, d1, #1 \n"
"vext.8 d3, d0, d1, #2 \n"
"vdup.s8 d1, d26[0] \n"
"vdup.s8 d30, d26[1] \n"
"vdup.s8 d31, d26[2] \n"
"vmull.s8 q2, d0, d1 \n"// k0
"vmlal.s8 q2, d2, d30 \n"// k1
"vmlal.s8 q2, d3, d31 \n"// k2
"pld [%6, #128] \n"
"vld1.32 {d6-d7}, [%6] \n"// r1
"add %6, #8 \n"
"vext.8 d8, d6, d7, #1 \n"
"vext.8 d9, d6, d7, #2 \n"
"vdup.s8 d1, d26[3] \n"
"vdup.s8 d30, d26[4] \n"
"vdup.s8 d31, d26[5] \n"
"vmlal.s8 q2, d6, d1 \n"// k3
"vmlal.s8 q2, d8, d30 \n"// k4
"vmlal.s8 q2, d9, d31 \n"// k5
"pld [%7, #128] \n"
"vld1.32 {d10-d11}, [%7] \n"// r2
"add %7, #8 \n"
"vext.8 d12, d10, d11, #1 \n"
"vext.8 d13, d10, d11, #2 \n"
"vdup.s8 d1, d26[6] \n"
"vdup.s8 d30, d26[7] \n"
"vdup.s8 d31, d27[0] \n"
"vmlal.s8 q2, d10, d1 \n"// k6
"vmlal.s8 q2, d12, d30 \n"// k7
"vmlal.s8 q2, d13, d31 \n"// k8
"pld [%8, #128] \n"
"vld1.32 {d14-d15}, [%8] \n"// r3
"add %8, #8 \n"
"vext.8 d16, d14, d15, #1 \n"
"vext.8 d17, d14, d15, #2 \n"
"pld [%1, #128] \n"
"vld1.32 {d18-d21}, [%1] \n"// sum0
"vaddw.s16 q9, q9, d4 \n"
"vaddw.s16 q10, q10, d5 \n"
"vst1.32 {d18-d21}, [%1]! \n"
"vdup.s8 d1, d26[0] \n"
"vdup.s8 d30, d26[1] \n"
"vdup.s8 d31, d26[2] \n"
"vmull.s8 q2, d6, d1 \n"// k0
"vmlal.s8 q2, d8, d30 \n"// k1
"vmlal.s8 q2, d9, d31 \n"// k2
"vdup.s8 d1, d26[3] \n"
"vdup.s8 d30, d26[4] \n"
"vdup.s8 d31, d26[5] \n"
"vmlal.s8 q2, d10, d1 \n"// k3
"vmlal.s8 q2, d12, d30 \n"// k4
"vmlal.s8 q2, d13, d31 \n"// k5
"vdup.s8 d1, d26[6] \n"
"vdup.s8 d30, d26[7] \n"
"vdup.s8 d31, d27[0] \n"
"vmlal.s8 q2, d14, d1 \n"// k6
"vmlal.s8 q2, d16, d30 \n"// k7
"vmlal.s8 q2, d17, d31 \n"// k8
"pld [%2, #128] \n"
"vld1.32 {d18-d21}, [%2] \n"// sum0n
"vaddw.s16 q9, q9, d4 \n"
"vaddw.s16 q10, q10, d5 \n"
"vst1.32 {d18-d21}, [%2]! \n"
"vdup.s8 d1, d28[0] \n"
"vdup.s8 d30, d28[1] \n"
"vdup.s8 d31, d28[2] \n"
"vmull.s8 q2, d0, d1 \n"// k0n
"vmlal.s8 q2, d2, d30 \n"// k1n
"vmlal.s8 q2, d3, d31 \n"// k2n
"vdup.s8 d1, d28[3] \n"
"vdup.s8 d30, d28[4] \n"
"vdup.s8 d31, d28[5] \n"
"vmlal.s8 q2, d6, d1 \n"// k3n
"vmlal.s8 q2, d8, d30 \n"// k4n
"vmlal.s8 q2, d9, d31 \n"// k5n
"vdup.s8 d1, d28[6] \n"
"vdup.s8 d30, d28[7] \n"
"vdup.s8 d31, d29[0] \n"
"vmlal.s8 q2, d10, d1 \n"// k6n
"vmlal.s8 q2, d12, d30 \n"// k7n
"vmlal.s8 q2, d13, d31 \n"// k8n
"pld [%3, #128] \n"
"vld1.32 {d18-d21}, [%3] \n"// sum1
"vaddw.s16 q9, q9, d4 \n"
"vaddw.s16 q10, q10, d5 \n"
"vst1.32 {d18-d21}, [%3]! \n"
"vdup.s8 d1, d28[0] \n"
"vdup.s8 d30, d28[1] \n"
"vdup.s8 d31, d28[2] \n"
"vmull.s8 q2, d6, d1 \n"// k0n
"vmlal.s8 q2, d8, d30 \n"// k1n
"vmlal.s8 q2, d9, d31 \n"// k2n
"vdup.s8 d1, d28[3] \n"
"vdup.s8 d30, d28[4] \n"
"vdup.s8 d31, d28[5] \n"
"vmlal.s8 q2, d10, d1 \n"// k3n
"vmlal.s8 q2, d12, d30 \n"// k4n
"vmlal.s8 q2, d13, d31 \n"// k5n
"vdup.s8 d1, d28[6] \n"
"vdup.s8 d30, d28[7] \n"
"vdup.s8 d31, d29[0] \n"
"vmlal.s8 q2, d14, d1 \n"// k6n
"vmlal.s8 q2, d16, d30 \n"// k7n
"vmlal.s8 q2, d17, d31 \n"// k8n
"pld [%4, #128] \n"
"vld1.32 {d18-d21}, [%4] \n"// sum1n
"vaddw.s16 q9, q9, d4 \n"
"vaddw.s16 q10, q10, d5 \n"
"vst1.32 {d18-d21}, [%4]! \n"
"subs %0, #1 \n"
"bne 0b \n"
: "=r"(nn), // %0
"=r"(outptr0), // %1
"=r"(outptr0n), // %2
"=r"(outptr1), // %3
"=r"(outptr1n), // %4
"=r"(r0), // %5
"=r"(r1), // %6
"=r"(r2), // %7
"=r"(r3) // %8
: "0"(nn),
"1"(outptr0),
"2"(outptr0n),
"3"(outptr1),
"4"(outptr1n),
"5"(r0),
"6"(r1),
"7"(r2),
"8"(r3)
: "cc", "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11", "q12", "q15"
);
}
for (; remain>0; remain--)
{
int sum0 = 0;
int sum0n = 0;
int sum1 = 0;
int sum1n = 0;
//ToDo Neon
sum0 += (int)r0[0] * kernel0[0];
sum0 += (int)r0[1] * kernel0[1];
sum0 += (int)r0[2] * kernel0[2];
sum0 += (int)r1[0] * kernel0[3];
sum0 += (int)r1[1] * kernel0[4];
sum0 += (int)r1[2] * kernel0[5];
sum0 += (int)r2[0] * kernel0[6];
sum0 += (int)r2[1] * kernel0[7];
sum0 += (int)r2[2] * kernel0[8];
sum1 += (int)r0[0] * kernel1[0];
sum1 += (int)r0[1] * kernel1[1];
sum1 += (int)r0[2] * kernel1[2];
sum1 += (int)r1[0] * kernel1[3];
sum1 += (int)r1[1] * kernel1[4];
sum1 += (int)r1[2] * kernel1[5];
sum1 += (int)r2[0] * kernel1[6];
sum1 += (int)r2[1] * kernel1[7];
sum1 += (int)r2[2] * kernel1[8];
sum0n += (int)r1[0] * kernel0[0];
sum0n += (int)r1[1] * kernel0[1];
sum0n += (int)r1[2] * kernel0[2];
sum0n += (int)r2[0] * kernel0[3];
sum0n += (int)r2[1] * kernel0[4];
sum0n += (int)r2[2] * kernel0[5];
sum0n += (int)r3[0] * kernel0[6];
sum0n += (int)r3[1] * kernel0[7];
sum0n += (int)r3[2] * kernel0[8];
sum1n += (int)r1[0] * kernel1[0];
sum1n += (int)r1[1] * kernel1[1];
sum1n += (int)r1[2] * kernel1[2];
sum1n += (int)r2[0] * kernel1[3];
sum1n += (int)r2[1] * kernel1[4];
sum1n += (int)r2[2] * kernel1[5];
sum1n += (int)r3[0] * kernel1[6];
sum1n += (int)r3[1] * kernel1[7];
sum1n += (int)r3[2] * kernel1[8];
*outptr0 += sum0;
*outptr1 += sum1;
*outptr0n += sum0n;
*outptr1n += sum1n;
r0++;
r1++;
r2++;
r3++;
outptr0++;
outptr1++;
outptr0n++;
outptr1n++;
}
r0 += 2 + w;
r1 += 2 + w;
r2 += 2 + w;
r3 += 2 + w;
outptr0 += outw;
outptr1 += outw;
outptr0n += outw;
outptr1n += outw;
}
for (; i < outh; i++)
{
int nn = outw >> 3;
int remain = outw & 7;
if (nn > 0)
{
asm volatile(
"vld1.8 {d26-d27}, [%0] \n"
"vld1.8 {d28-d29}, [%1] \n"
: "=r"(kernel0), // %0
"=r"(kernel1) // %1
: "0"(kernel0),
"1"(kernel1)
: "cc", "memory"
);
asm volatile(
"0: \n"
"pld [%3, #128] \n"
"vld1.32 {d0-d1}, [%3] \n"// r0
"add %3, #8 \n"
"vext.8 d2, d0, d1, #1 \n"
"vext.8 d3, d0, d1, #2 \n"
"vdup.s8 d1, d26[0] \n"
"vdup.s8 d30, d26[1] \n"
"vdup.s8 d31, d26[2] \n"
"vmull.s8 q2, d0, d1 \n"// k0
"vmlal.s8 q2, d2, d30 \n"// k1
"vmlal.s8 q2, d3, d31 \n"// k2
"pld [%4, #128] \n"
"vld1.32 {d6-d7}, [%4] \n"// r1
"add %4, #8 \n"
"vext.8 d8, d6, d7, #1 \n"
"vext.8 d9, d6, d7, #2 \n"
"vdup.s8 d1, d26[3] \n"
"vdup.s8 d30, d26[4] \n"
"vdup.s8 d31, d26[5] \n"
"vmlal.s8 q2, d6, d1 \n"// k3
"vmlal.s8 q2, d8, d30 \n"// k4
"vmlal.s8 q2, d9, d31 \n"// k5
"pld [%5, #128] \n"
"vld1.32 {d10-d11}, [%5] \n"// r2
"add %5, #8 \n"
"vext.8 d12, d10, d11, #1 \n"
"vext.8 d13, d10, d11, #2 \n"
"vdup.s8 d1, d26[6] \n"
"vdup.s8 d30, d26[7] \n"
"vdup.s8 d31, d27[0] \n"
"vmlal.s8 q2, d10, d1 \n"// k6
"vmlal.s8 q2, d12, d30 \n"// k7
"vmlal.s8 q2, d13, d31 \n"// k8
"pld [%1, #128] \n"
"vld1.32 {d18-d21}, [%1] \n"// sum0
"vaddw.s16 q9, q9, d4 \n"
"vaddw.s16 q10, q10, d5 \n"
"vst1.32 {d18-d21}, [%1]! \n"
"vdup.s8 d1, d28[0] \n"
"vdup.s8 d7, d28[1] \n"
"vdup.s8 d11, d28[2] \n"
"vmull.s8 q2, d0, d1 \n"// k0n
"vmlal.s8 q2, d2, d7 \n"// k1n
"vmlal.s8 q2, d3, d11 \n"// k2n
"vdup.s8 d1, d28[3] \n"
"vdup.s8 d7, d28[4] \n"
"vdup.s8 d11, d28[5] \n"
"vmlal.s8 q2, d6, d1 \n"// k3n
"vmlal.s8 q2, d8, d7 \n"// k4n
"vmlal.s8 q2, d9, d11 \n"// k5n
"vdup.s8 d1, d28[6] \n"
"vdup.s8 d7, d28[7] \n"
"vdup.s8 d11, d29[0] \n"
"vmlal.s8 q2, d10, d1 \n"// k6n
"vmlal.s8 q2, d12, d7 \n"// k7n
"vmlal.s8 q2, d13, d11 \n"// k8n
"pld [%2, #128] \n"
"vld1.32 {d18-d21}, [%2] \n"// sum1
"vaddw.s16 q9, q9, d4 \n"
"vaddw.s16 q10, q10, d5 \n"
"vst1.32 {d18-d21}, [%2]! \n"
"subs %0, #1 \n"
"bne 0b \n"
: "=r"(nn), // %0
"=r"(outptr0), // %1
"=r"(outptr1), // %2
"=r"(r0), // %3
"=r"(r1), // %4
"=r"(r2) // %5
: "0"(nn),
"1"(outptr0),
"2"(outptr1),
"3"(r0),
"4"(r1),
"5"(r2)
: "cc", "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15"
);
}
for (; remain>0; remain--)
{
int sum0 = 0;
int sum1 = 0;
sum0 += (int)r0[0] * kernel0[0];
sum0 += (int)r0[1] * kernel0[1];
sum0 += (int)r0[2] * kernel0[2];
sum0 += (int)r1[0] * kernel0[3];
sum0 += (int)r1[1] * kernel0[4];
sum0 += (int)r1[2] * kernel0[5];
sum0 += (int)r2[0] * kernel0[6];
sum0 += (int)r2[1] * kernel0[7];
sum0 += (int)r2[2] * kernel0[8];
sum1 += (int)r0[0] * kernel1[0];
sum1 += (int)r0[1] * kernel1[1];
sum1 += (int)r0[2] * kernel1[2];
sum1 += (int)r1[0] * kernel1[3];
sum1 += (int)r1[1] * kernel1[4];
sum1 += (int)r1[2] * kernel1[5];
sum1 += (int)r2[0] * kernel1[6];
sum1 += (int)r2[1] * kernel1[7];
sum1 += (int)r2[2] * kernel1[8];
*outptr0 += sum0;
*outptr1 += sum1;
r0++;
r1++;
r2++;
outptr0++;
outptr1++;
}
r0 += 2;
r1 += 2;
r2 += 2;
}
kernel0 += 9;
kernel1 += 9;
}
}
#pragma omp parallel for num_threads(opt.num_threads)
for (int p=remain_outch_start; p<outch; p++)
{
Mat out0 = top_blob.channel(p);
out0.fill(0);
const signed char* kernel0 = (const signed char *)kernel + p * inch * 9;
for (int q=0; q<inch; q++)
{
int* outptr0 = out0;
int* outptr0n = outptr0 + outw;
const signed char* img0 = bottom_blob.channel(q);
const signed char* r0 = img0;
const signed char* r1 = img0 + w;
const signed char* r2 = img0 + w * 2;
const signed char* r3 = img0 + w * 3;
const signed char* k00 = kernel0;
const signed char* k03 = kernel0 + 3;
const signed char* k06 = kernel0 + 6;
int i = 0;
for (; i+1 < outh; i+=2)
{
int nn = outw >> 3;
int remain = outw & 7;
if (nn > 0)
{
asm volatile(
"vld1.8 {d26-d27}, [%0] \n"
: "=r"(kernel0) // %0
: "0"(kernel0)
: "cc", "memory"
);
asm volatile(
"0: \n"
"pld [%3, #128] \n"
"vld1.32 {d0-d1}, [%3] \n"// r0
"add %3, #8 \n"
"vext.8 d2, d0, d1, #1 \n"
"vext.8 d3, d0, d1, #2 \n"
"vdup.s8 d1, d26[0] \n"
"vdup.s8 d30, d26[1] \n"
"vdup.s8 d31, d26[2] \n"
"vmull.s8 q2, d0, d1 \n"// k0
"vmlal.s8 q2, d2, d30 \n"// k1
"vmlal.s8 q2, d3, d31 \n"// k2
"pld [%4, #128] \n"
"vld1.32 {d6-d7}, [%4] \n"// r1
"add %4, #8 \n"
"vext.8 d8, d6, d7, #1 \n"
"vext.8 d9, d6, d7, #2 \n"
"vdup.s8 d1, d26[3] \n"
"vdup.s8 d30, d26[4] \n"
"vdup.s8 d31, d26[5] \n"
"vmlal.s8 q2, d6, d1 \n"// k3
"vmlal.s8 q2, d8, d30 \n"// k4
"vmlal.s8 q2, d9, d31 \n"// k5
"pld [%5, #128] \n"
"vld1.32 {d10-d11}, [%5] \n"// r2
"add %5, #8 \n"
"vext.8 d12, d10, d11, #1 \n"
"vext.8 d13, d10, d11, #2 \n"
"vdup.s8 d1, d26[6] \n"
"vdup.s8 d30, d26[7] \n"
"vdup.s8 d31, d27[0] \n"
"vmlal.s8 q2, d10, d1 \n"// k6
"vmlal.s8 q2, d12, d30 \n"// k7
"vmlal.s8 q2, d13, d31 \n"// k8
"pld [%6, #128] \n"
"vld1.32 {d14-d15}, [%6] \n"// r3
"add %6, #8 \n"
"vext.8 d16, d14, d15, #1 \n"
"vext.8 d17, d14, d15, #2 \n"
"pld [%1, #128] \n"
"vld1.32 {d18-d21}, [%1] \n"// sum0
"vaddw.s16 q9, q9, d4 \n"
"vaddw.s16 q10, q10, d5 \n"
"vst1.32 {d18-d21}, [%1]! \n"
"vdup.s8 d1, d26[0] \n"
"vdup.s8 d30, d26[1] \n"
"vdup.s8 d31, d26[2] \n"
"vmull.s8 q2, d6, d1 \n"// k0
"vmlal.s8 q2, d8, d30 \n"// k1
"vmlal.s8 q2, d9, d31 \n"// k2
"vdup.s8 d1, d26[3] \n"
"vdup.s8 d30, d26[4] \n"
"vdup.s8 d31, d26[5] \n"
"vmlal.s8 q2, d10, d1 \n"// k3
"vmlal.s8 q2, d12, d30 \n"// k4
"vmlal.s8 q2, d13, d31 \n"// k5
"vdup.s8 d1, d26[6] \n"
"vdup.s8 d30, d26[7] \n"
"vdup.s8 d31, d27[0] \n"
"vmlal.s8 q2, d14, d1 \n"// k6
"vmlal.s8 q2, d16, d30 \n"// k7
"vmlal.s8 q2, d17, d31 \n"// k8
"pld [%2, #128] \n"
"vld1.32 {d18-d21}, [%2] \n"// sum0n
"vaddw.s16 q9, q9, d4 \n"
"vaddw.s16 q10, q10, d5 \n"
"vst1.32 {d18-d21}, [%2]! \n"
"subs %0, #1 \n"
"bne 0b \n"
: "=r"(nn), // %0
"=r"(outptr0), // %1
"=r"(outptr0n), // %2
"=r"(r0), // %3
"=r"(r1), // %4
"=r"(r2), // %5
"=r"(r3) // %6
: "0"(nn),
"1"(outptr0),
"2"(outptr0n),
"3"(r0),
"4"(r1),
"5"(r2),
"6"(r3)
: "cc", "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15"
);
}
for (; remain>0; remain--)
{
//Todo Neon
int sum0 = 0;
int sum0n = 0;
sum0 += (int)r0[0] * kernel0[0];
sum0 += (int)r0[1] * kernel0[1];
sum0 += (int)r0[2] * kernel0[2];
sum0 += (int)r1[0] * kernel0[3];
sum0 += (int)r1[1] * kernel0[4];
sum0 += (int)r1[2] * kernel0[5];
sum0 += (int)r2[0] * kernel0[6];
sum0 += (int)r2[1] * kernel0[7];
sum0 += (int)r2[2] * kernel0[8];
sum0n += (int)r1[0] * kernel0[0];
sum0n += (int)r1[1] * kernel0[1];
sum0n += (int)r1[2] * kernel0[2];
sum0n += (int)r2[0] * kernel0[3];
sum0n += (int)r2[1] * kernel0[4];
sum0n += (int)r2[2] * kernel0[5];
sum0n += (int)r3[0] * kernel0[6];
sum0n += (int)r3[1] * kernel0[7];
sum0n += (int)r3[2] * kernel0[8];
*outptr0 += sum0;
*outptr0n += sum0n;
r0++;
r1++;
r2++;
r3++;
outptr0++;
outptr0n++;
}
r0 += 2 + w;
r1 += 2 + w;
r2 += 2 + w;
r3 += 2 + w;
outptr0 += outw;
outptr0n += outw;
}
for (; i < outh; i++)
{
int nn = outw >> 3;
int remain = outw & 7;
if (nn > 0)
{
asm volatile(
"vld1.8 {d26-d27}, [%0] \n"
: "=r"(kernel0) // %0
: "0"(kernel0)
: "cc", "memory"
);
asm volatile(
"0: \n"
"pld [%2, #128] \n"
"vld1.32 {d0-d1}, [%2] \n"// r0
"add %2, #8 \n"
"vext.8 d2, d0, d1, #1 \n"
"vext.8 d3, d0, d1, #2 \n"
"vdup.s8 d1, d26[0] \n"
"vdup.s8 d30, d26[1] \n"
"vdup.s8 d31, d26[2] \n"
"vmull.s8 q2, d0, d1 \n"// k0
"vmlal.s8 q2, d2, d30 \n"// k1
"vmlal.s8 q2, d3, d31 \n"// k2
"pld [%3, #128] \n"
"vld1.32 {d6-d7}, [%3] \n"// r1
"add %3, #8 \n"
"vext.8 d8, d6, d7, #1 \n"
"vext.8 d9, d6, d7, #2 \n"
"vdup.s8 d1, d26[3] \n"
"vdup.s8 d30, d26[4] \n"
"vdup.s8 d31, d26[5] \n"
"vmlal.s8 q2, d6, d1 \n"// k3
"vmlal.s8 q2, d8, d30 \n"// k4
"vmlal.s8 q2, d9, d31 \n"// k5
"pld [%4, #128] \n"
"vld1.32 {d10-d11}, [%4] \n"// r2
"add %4, #8 \n"
"vext.8 d12, d10, d11, #1 \n"
"vext.8 d13, d10, d11, #2 \n"
"vdup.s8 d1, d26[6] \n"
"vdup.s8 d30, d26[7] \n"
"vdup.s8 d31, d27[0] \n"
"vmlal.s8 q2, d10, d1 \n"// k6
"vmlal.s8 q2, d12, d30 \n"// k7
"vmlal.s8 q2, d13, d31 \n"// k8
"pld [%1, #128] \n"
"vld1.32 {d18-d21}, [%1] \n"// sum0
"vaddw.s16 q9, q9, d4 \n"
"vaddw.s16 q10, q10, d5 \n"
"vst1.32 {d18-d21}, [%1]! \n"
"subs %0, #1 \n"
"bne 0b \n"
: "=r"(nn), // %0
"=r"(outptr0), // %1
"=r"(r0), // %2
"=r"(r1), // %3
"=r"(r2) // %4
: "0"(nn),
"1"(outptr0),
"2"(r0),
"3"(r1),
"4"(r2)
: "cc", "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15"
);
}
for (; remain>0; remain--)
{
int sum0 = 0;
sum0 += (int)r0[0] * kernel0[0];
sum0 += (int)r0[1] * kernel0[1];
sum0 += (int)r0[2] * kernel0[2];
sum0 += (int)r1[0] * kernel0[3];
sum0 += (int)r1[1] * kernel0[4];
sum0 += (int)r1[2] * kernel0[5];
sum0 += (int)r2[0] * kernel0[6];
sum0 += (int)r2[1] * kernel0[7];
sum0 += (int)r2[2] * kernel0[8];
*outptr0 += sum0;
r0++;
r1++;
r2++;
outptr0++;
}
r0 += 2;
r1 += 2;
r2 += 2;
}
kernel0 += 9;
}
}
}
static void conv3x3s1_neon_s8_left4(const Mat& bottom_blob, Mat& top_blob, const Mat& _kernel, const Option& opt)
{
int w = bottom_blob.w;
int h = bottom_blob.h;
int inch = bottom_blob.c;
int outw = top_blob.w;
int outh = top_blob.h;
int outch = top_blob.c;
const float* kernel = _kernel;
int nn_outch = outch >> 1;
int remain_outch_start = nn_outch << 1;
#pragma omp parallel for num_threads(opt.num_threads)
for (int pp=0; pp < nn_outch; pp++)
{
int p = pp * 2;
Mat out0 = top_blob.channel(p);
Mat out1 = top_blob.channel(p+1);
out0.fill(0);
out1.fill(0);
const signed char* kernel0 = (const signed char *)kernel + p * inch * 9;
const signed char* kernel1 = (const signed char *)kernel + (p + 1) * inch * 9;
for (int q=0; q<inch; q++)
{
int* outptr0 = out0;
int* outptr1 = out1;
int* outptr0n = outptr0 + outw;
int* outptr1n = outptr1 + outw;
const signed char* img0 = bottom_blob.channel(q);
const signed char* r0 = img0;
const signed char* r1 = img0 + w;
const signed char* r2 = img0 + w*2;
const signed char* r3 = img0 + w*3;
const signed char* k00 = kernel0;
const signed char* k03 = kernel0 + 3;
const signed char* k06 = kernel0 + 6;
const signed char* k10 = kernel1;
const signed char* k13 = kernel1 + 3;
const signed char* k16 = kernel1 + 6;
int i = 0;
for (; i+1 < outh; i+=2)
{
int nn = outw >> 3;
int remain = outw & 7;
asm volatile(
"vld1.8 {d26-d27}, [%0] \n" // k00 k01 k02 k03 k04 k05 k06 k07 k08
"vld1.8 {d28-d29}, [%1] \n" // k10 k11 k12 k13 k14 k15 k16 k17 k18
: "=r"(kernel0), // %0
"=r"(kernel1) // %1
: "0"(kernel0),
"1"(kernel1)
: "cc", "memory"
);
if (nn > 0)
{
asm volatile(
"0: \n"
"pld [%5, #128] \n"
"vld1.32 {d0-d1}, [%5] \n"// r0
"add %5, #8 \n"
"vext.8 d2, d0, d1, #1 \n"
"vext.8 d3, d0, d1, #2 \n"
"vdup.s8 d1, d26[0] \n"
"vdup.s8 d30, d26[1] \n"
"vdup.s8 d31, d26[2] \n"
"vmull.s8 q2, d0, d1 \n"// k0
"vmlal.s8 q2, d2, d30 \n"// k1
"vmlal.s8 q2, d3, d31 \n"// k2
"pld [%6, #128] \n"
"vld1.32 {d6-d7}, [%6] \n"// r1
"add %6, #8 \n"
"vext.8 d8, d6, d7, #1 \n"
"vext.8 d9, d6, d7, #2 \n"
"vdup.s8 d1, d26[3] \n"
"vdup.s8 d30, d26[4] \n"
"vdup.s8 d31, d26[5] \n"
"vmlal.s8 q2, d6, d1 \n"// k3
"vmlal.s8 q2, d8, d30 \n"// k4
"vmlal.s8 q2, d9, d31 \n"// k5
"pld [%7, #128] \n"
"vld1.32 {d10-d11}, [%7] \n"// r2
"add %7, #8 \n"
"vext.8 d12, d10, d11, #1 \n"
"vext.8 d13, d10, d11, #2 \n"
"vdup.s8 d1, d26[6] \n"
"vdup.s8 d30, d26[7] \n"
"vdup.s8 d31, d27[0] \n"
"vmlal.s8 q2, d10, d1 \n"// k6
"vmlal.s8 q2, d12, d30 \n"// k7
"vmlal.s8 q2, d13, d31 \n"// k8
"pld [%8, #128] \n"
"vld1.32 {d14-d15}, [%8] \n"// r3
"add %8, #8 \n"
"vext.8 d16, d14, d15, #1 \n"
"vext.8 d17, d14, d15, #2 \n"
"pld [%1, #128] \n"
"vld1.32 {d18-d21}, [%1] \n"// sum0
"vaddw.s16 q9, q9, d4 \n"
"vaddw.s16 q10, q10, d5 \n"
"vst1.32 {d18-d21}, [%1]! \n"
"vdup.s8 d1, d26[0] \n"
"vdup.s8 d30, d26[1] \n"
"vdup.s8 d31, d26[2] \n"
"vmull.s8 q2, d6, d1 \n"// k0
"vmlal.s8 q2, d8, d30 \n"// k1
"vmlal.s8 q2, d9, d31 \n"// k2
"vdup.s8 d1, d26[3] \n"
"vdup.s8 d30, d26[4] \n"
"vdup.s8 d31, d26[5] \n"
"vmlal.s8 q2, d10, d1 \n"// k3
"vmlal.s8 q2, d12, d30 \n"// k4
"vmlal.s8 q2, d13, d31 \n"// k5
"vdup.s8 d1, d26[6] \n"
"vdup.s8 d30, d26[7] \n"
"vdup.s8 d31, d27[0] \n"
"vmlal.s8 q2, d14, d1 \n"// k6
"vmlal.s8 q2, d16, d30 \n"// k7
"vmlal.s8 q2, d17, d31 \n"// k8
"pld [%2, #128] \n"
"vld1.32 {d18-d21}, [%2] \n"// sum0n
"vaddw.s16 q9, q9, d4 \n"
"vaddw.s16 q10, q10, d5 \n"
"vst1.32 {d18-d21}, [%2]! \n"
"vdup.s8 d1, d28[0] \n"
"vdup.s8 d30, d28[1] \n"
"vdup.s8 d31, d28[2] \n"
"vmull.s8 q2, d0, d1 \n"// k0n
"vmlal.s8 q2, d2, d30 \n"// k1n
"vmlal.s8 q2, d3, d31 \n"// k2n
"vdup.s8 d1, d28[3] \n"
"vdup.s8 d30, d28[4] \n"
"vdup.s8 d31, d28[5] \n"
"vmlal.s8 q2, d6, d1 \n"// k3n
"vmlal.s8 q2, d8, d30 \n"// k4n
"vmlal.s8 q2, d9, d31 \n"// k5n
"vdup.s8 d1, d28[6] \n"
"vdup.s8 d30, d28[7] \n"
"vdup.s8 d31, d29[0] \n"
"vmlal.s8 q2, d10, d1 \n"// k6n
"vmlal.s8 q2, d12, d30 \n"// k7n
"vmlal.s8 q2, d13, d31 \n"// k8n
"pld [%3, #128] \n"
"vld1.32 {d18-d21}, [%3] \n"// sum1
"vaddw.s16 q9, q9, d4 \n"
"vaddw.s16 q10, q10, d5 \n"
"vst1.32 {d18-d21}, [%3]! \n"
"vdup.s8 d1, d28[0] \n"
"vdup.s8 d30, d28[1] \n"
"vdup.s8 d31, d28[2] \n"
"vmull.s8 q2, d6, d1 \n"// k0n
"vmlal.s8 q2, d8, d30 \n"// k1n
"vmlal.s8 q2, d9, d31 \n"// k2n
"vdup.s8 d1, d28[3] \n"
"vdup.s8 d30, d28[4] \n"
"vdup.s8 d31, d28[5] \n"
"vmlal.s8 q2, d10, d1 \n"// k3n
"vmlal.s8 q2, d12, d30 \n"// k4n
"vmlal.s8 q2, d13, d31 \n"// k5n
"vdup.s8 d1, d28[6] \n"
"vdup.s8 d30, d28[7] \n"
"vdup.s8 d31, d29[0] \n"
"vmlal.s8 q2, d14, d1 \n"// k6n
"vmlal.s8 q2, d16, d30 \n"// k7n
"vmlal.s8 q2, d17, d31 \n"// k8n
"pld [%4, #128] \n"
"vld1.32 {d18-d21}, [%4] \n"// sum1n
"vaddw.s16 q9, q9, d4 \n"
"vaddw.s16 q10, q10, d5 \n"
"vst1.32 {d18-d21}, [%4]! \n"
"subs %0, #1 \n"
"bne 0b \n"
: "=r"(nn), // %0
"=r"(outptr0), // %1
"=r"(outptr0n), // %2
"=r"(outptr1), // %3
"=r"(outptr1n), // %4
"=r"(r0), // %5
"=r"(r1), // %6
"=r"(r2), // %7
"=r"(r3) // %8
: "0"(nn),
"1"(outptr0),
"2"(outptr0n),
"3"(outptr1),
"4"(outptr1n),
"5"(r0),
"6"(r1),
"7"(r2),
"8"(r3)
: "cc", "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11", "q12", "q15"
);
}
asm volatile(
"pld [%5, #128] \n"
"vld1.32 {d0-d1}, [%5] \n"// r0
"add %5, #4 \n"
"vext.8 d2, d0, d1, #1 \n"
"vext.8 d3, d0, d1, #2 \n"
"vdup.s8 d1, d26[0] \n"
"vdup.s8 d30, d26[1] \n"
"vdup.s8 d31, d26[2] \n"
"vmull.s8 q2, d0, d1 \n"// k0
"vmlal.s8 q2, d2, d30 \n"// k1
"vmlal.s8 q2, d3, d31 \n"// k2
"pld [%6, #128] \n"
"vld1.32 {d6-d7}, [%6] \n"// r1
"add %6, #4 \n"
"vext.8 d8, d6, d7, #1 \n"
"vext.8 d9, d6, d7, #2 \n"
"vdup.s8 d1, d26[3] \n"
"vdup.s8 d30, d26[4] \n"
"vdup.s8 d31, d26[5] \n"
"vmlal.s8 q2, d6, d1 \n"// k3
"vmlal.s8 q2, d8, d30 \n"// k4
"vmlal.s8 q2, d9, d31 \n"// k5
"pld [%7, #128] \n"
"vld1.32 {d10-d11}, [%7] \n"// r2
"add %7, #4 \n"
"vext.8 d12, d10, d11, #1 \n"
"vext.8 d13, d10, d11, #2 \n"
"vdup.s8 d1, d26[6] \n"
"vdup.s8 d30, d26[7] \n"
"vdup.s8 d31, d27[0] \n"
"vmlal.s8 q2, d10, d1 \n"// k6
"vmlal.s8 q2, d12, d30 \n"// k7
"vmlal.s8 q2, d13, d31 \n"// k8
"pld [%8, #128] \n"
"vld1.32 {d14-d15}, [%8] \n"// r3
"add %8, #4 \n"
"vext.8 d16, d14, d15, #1 \n"
"vext.8 d17, d14, d15, #2 \n"
"pld [%1, #128] \n"
"vld1.32 {d18-d19}, [%1] \n"// sum0
"vaddw.s16 q9, q9, d4 \n"
"vst1.32 {d18-d19}, [%1]! \n"
"vdup.s8 d1, d26[0] \n"
"vdup.s8 d30, d26[1] \n"
"vdup.s8 d31, d26[2] \n"
"vmull.s8 q2, d6, d1 \n"// k0
"vmlal.s8 q2, d8, d30 \n"// k1
"vmlal.s8 q2, d9, d31 \n"// k2
"vdup.s8 d1, d26[3] \n"
"vdup.s8 d30, d26[4] \n"
"vdup.s8 d31, d26[5] \n"
"vmlal.s8 q2, d10, d1 \n"// k3
"vmlal.s8 q2, d12, d30 \n"// k4
"vmlal.s8 q2, d13, d31 \n"// k5
"vdup.s8 d1, d26[6] \n"
"vdup.s8 d30, d26[7] \n"
"vdup.s8 d31, d27[0] \n"
"vmlal.s8 q2, d14, d1 \n"// k6
"vmlal.s8 q2, d16, d30 \n"// k7
"vmlal.s8 q2, d17, d31 \n"// k8
"pld [%2, #128] \n"
"vld1.32 {d18-d19}, [%2] \n"// sum0n
"vaddw.s16 q9, q9, d4 \n"
"vst1.32 {d18-d19}, [%2]! \n"
"vdup.s8 d1, d28[0] \n"
"vdup.s8 d30, d28[1] \n"
"vdup.s8 d31, d28[2] \n"
"vmull.s8 q2, d0, d1 \n"// k0n
"vmlal.s8 q2, d2, d30 \n"// k1n
"vmlal.s8 q2, d3, d31 \n"// k2n
"vdup.s8 d1, d28[3] \n"
"vdup.s8 d30, d28[4] \n"
"vdup.s8 d31, d28[5] \n"
"vmlal.s8 q2, d6, d1 \n"// k3n
"vmlal.s8 q2, d8, d30 \n"// k4n
"vmlal.s8 q2, d9, d31 \n"// k5n
"vdup.s8 d1, d28[6] \n"
"vdup.s8 d30, d28[7] \n"
"vdup.s8 d31, d29[0] \n"
"vmlal.s8 q2, d10, d1 \n"// k6n
"vmlal.s8 q2, d12, d30 \n"// k7n
"vmlal.s8 q2, d13, d31 \n"// k8n
"pld [%3, #128] \n"
"vld1.32 {d18-d19}, [%3] \n"// sum1
"vaddw.s16 q9, q9, d4 \n"
"vst1.32 {d18-d19}, [%3]! \n"
"vdup.s8 d1, d28[0] \n"
"vdup.s8 d30, d28[1] \n"
"vdup.s8 d31, d28[2] \n"
"vmull.s8 q2, d6, d1 \n"// k0n
"vmlal.s8 q2, d8, d30 \n"// k1n
"vmlal.s8 q2, d9, d31 \n"// k2n
"vdup.s8 d1, d28[3] \n"
"vdup.s8 d30, d28[4] \n"
"vdup.s8 d31, d28[5] \n"
"vmlal.s8 q2, d10, d1 \n"// k3n
"vmlal.s8 q2, d12, d30 \n"// k4n
"vmlal.s8 q2, d13, d31 \n"// k5n
"vdup.s8 d1, d28[6] \n"
"vdup.s8 d30, d28[7] \n"
"vdup.s8 d31, d29[0] \n"
"vmlal.s8 q2, d14, d1 \n"// k6n
"vmlal.s8 q2, d16, d30 \n"// k7n
"vmlal.s8 q2, d17, d31 \n"// k8n
"pld [%4, #128] \n"
"vld1.32 {d18-d19}, [%4] \n"// sum1n
"vaddw.s16 q9, q9, d4 \n"
"vst1.32 {d18-d19}, [%4]! \n"
: "=r"(nn), // %0
"=r"(outptr0), // %1
"=r"(outptr0n), // %2
"=r"(outptr1), // %3
"=r"(outptr1n), // %4
"=r"(r0), // %5
"=r"(r1), // %6
"=r"(r2), // %7
"=r"(r3) // %8
: "0"(nn),
"1"(outptr0),
"2"(outptr0n),
"3"(outptr1),
"4"(outptr1n),
"5"(r0),
"6"(r1),
"7"(r2),
"8"(r3)
: "cc", "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11", "q12", "q15"
);
r0 += 2 + w;
r1 += 2 + w;
r2 += 2 + w;
r3 += 2 + w;
outptr0 += outw;
outptr1 += outw;
outptr0n += outw;
outptr1n += outw;
}
for (; i < outh; i++)
{
int nn = outw >> 3;
int remain = outw & 7;
asm volatile(
"vld1.8 {d26-d27}, [%0] \n"
"vld1.8 {d28-d29}, [%1] \n"
: "=r"(kernel0), // %0
"=r"(kernel1) // %1
: "0"(kernel0),
"1"(kernel1)
: "cc", "memory"
);
if (nn > 0)
{
asm volatile(
"0: \n"
"pld [%3, #128] \n"
"vld1.32 {d0-d1}, [%3] \n"// r0
"add %3, #8 \n"
"vext.8 d2, d0, d1, #1 \n"
"vext.8 d3, d0, d1, #2 \n"
"vdup.s8 d1, d26[0] \n"
"vdup.s8 d30, d26[1] \n"
"vdup.s8 d31, d26[2] \n"
"vmull.s8 q2, d0, d1 \n"// k0
"vmlal.s8 q2, d2, d30 \n"// k1
"vmlal.s8 q2, d3, d31 \n"// k2
"pld [%4, #128] \n"
"vld1.32 {d6-d7}, [%4] \n"// r1
"add %4, #8 \n"
"vext.8 d8, d6, d7, #1 \n"
"vext.8 d9, d6, d7, #2 \n"
"vdup.s8 d1, d26[3] \n"
"vdup.s8 d30, d26[4] \n"
"vdup.s8 d31, d26[5] \n"
"vmlal.s8 q2, d6, d1 \n"// k3
"vmlal.s8 q2, d8, d30 \n"// k4
"vmlal.s8 q2, d9, d31 \n"// k5
"pld [%5, #128] \n"
"vld1.32 {d10-d11}, [%5] \n"// r2
"add %5, #8 \n"
"vext.8 d12, d10, d11, #1 \n"
"vext.8 d13, d10, d11, #2 \n"
"vdup.s8 d1, d26[6] \n"
"vdup.s8 d30, d26[7] \n"
"vdup.s8 d31, d27[0] \n"
"vmlal.s8 q2, d10, d1 \n"// k6
"vmlal.s8 q2, d12, d30 \n"// k7
"vmlal.s8 q2, d13, d31 \n"// k8
"pld [%1, #128] \n"
"vld1.32 {d18-d21}, [%1] \n"// sum0
"vaddw.s16 q9, q9, d4 \n"
"vaddw.s16 q10, q10, d5 \n"
"vst1.32 {d18-d21}, [%1]! \n"
"vdup.s8 d1, d28[0] \n"
"vdup.s8 d7, d28[1] \n"
"vdup.s8 d11, d28[2] \n"
"vmull.s8 q2, d0, d1 \n"// k0n
"vmlal.s8 q2, d2, d7 \n"// k1n
"vmlal.s8 q2, d3, d11 \n"// k2n
"vdup.s8 d1, d28[3] \n"
"vdup.s8 d7, d28[4] \n"
"vdup.s8 d11, d28[5] \n"
"vmlal.s8 q2, d6, d1 \n"// k3n
"vmlal.s8 q2, d8, d7 \n"// k4n
"vmlal.s8 q2, d9, d11 \n"// k5n
"vdup.s8 d1, d28[6] \n"
"vdup.s8 d7, d28[7] \n"
"vdup.s8 d11, d29[0] \n"
"vmlal.s8 q2, d10, d1 \n"// k6n
"vmlal.s8 q2, d12, d7 \n"// k7n
"vmlal.s8 q2, d13, d11 \n"// k8n
"pld [%2, #128] \n"
"vld1.32 {d18-d21}, [%2] \n"// sum1
"vaddw.s16 q9, q9, d4 \n"
"vaddw.s16 q10, q10, d5 \n"
"vst1.32 {d18-d21}, [%2]! \n"
"subs %0, #1 \n"
"bne 0b \n"
: "=r"(nn), // %0
"=r"(outptr0), // %1
"=r"(outptr1), // %2
"=r"(r0), // %3
"=r"(r1), // %4
"=r"(r2) // %5
: "0"(nn),
"1"(outptr0),
"2"(outptr1),
"3"(r0),
"4"(r1),
"5"(r2)
: "cc", "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15"
);
}
asm volatile(
"pld [%3, #128] \n"
"vld1.32 {d0-d1}, [%3] \n"// r0
"add %3, #4 \n"
"vext.8 d2, d0, d1, #1 \n"
"vext.8 d3, d0, d1, #2 \n"
"vdup.s8 d1, d26[0] \n"
"vdup.s8 d30, d26[1] \n"
"vdup.s8 d31, d26[2] \n"
"vmull.s8 q2, d0, d1 \n"// k0
"vmlal.s8 q2, d2, d30 \n"// k1
"vmlal.s8 q2, d3, d31 \n"// k2
"pld [%4, #128] \n"
"vld1.32 {d6-d7}, [%4] \n"// r1
"add %4, #4 \n"
"vext.8 d8, d6, d7, #1 \n"
"vext.8 d9, d6, d7, #2 \n"
"vdup.s8 d1, d26[3] \n"
"vdup.s8 d30, d26[4] \n"
"vdup.s8 d31, d26[5] \n"
"vmlal.s8 q2, d6, d1 \n"// k3
"vmlal.s8 q2, d8, d30 \n"// k4
"vmlal.s8 q2, d9, d31 \n"// k5
"pld [%5, #128] \n"
"vld1.32 {d10-d11}, [%5] \n"// r2
"add %5, #4 \n"
"vext.8 d12, d10, d11, #1 \n"
"vext.8 d13, d10, d11, #2 \n"
"vdup.s8 d1, d26[6] \n"
"vdup.s8 d30, d26[7] \n"
"vdup.s8 d31, d27[0] \n"
"vmlal.s8 q2, d10, d1 \n"// k6
"vmlal.s8 q2, d12, d30 \n"// k7
"vmlal.s8 q2, d13, d31 \n"// k8
"pld [%1, #128] \n"
"vld1.32 {d18-d19}, [%1] \n"// sum0
"vaddw.s16 q9, q9, d4 \n"
"vst1.32 {d18-d19}, [%1]! \n"
"vdup.s8 d1, d28[0] \n"
"vdup.s8 d7, d28[1] \n"
"vdup.s8 d11, d28[2] \n"
"vmull.s8 q2, d0, d1 \n"// k0n
"vmlal.s8 q2, d2, d7 \n"// k1n
"vmlal.s8 q2, d3, d11 \n"// k2n
"vdup.s8 d1, d28[3] \n"
"vdup.s8 d7, d28[4] \n"
"vdup.s8 d11, d28[5] \n"
"vmlal.s8 q2, d6, d1 \n"// k3n
"vmlal.s8 q2, d8, d7 \n"// k4n
"vmlal.s8 q2, d9, d11 \n"// k5n
"vdup.s8 d1, d28[6] \n"
"vdup.s8 d7, d28[7] \n"
"vdup.s8 d11, d29[0] \n"
"vmlal.s8 q2, d10, d1 \n"// k6n
"vmlal.s8 q2, d12, d7 \n"// k7n
"vmlal.s8 q2, d13, d11 \n"// k8n
"pld [%2, #128] \n"
"vld1.32 {d18-d19}, [%2] \n"// sum1
"vaddw.s16 q9, q9, d4 \n"
"vst1.32 {d18-d19}, [%2]! \n"
: "=r"(nn), // %0
"=r"(outptr0), // %1
"=r"(outptr1), // %2
"=r"(r0), // %3
"=r"(r1), // %4
"=r"(r2) // %5
: "0"(nn),
"1"(outptr0),
"2"(outptr1),
"3"(r0),
"4"(r1),
"5"(r2)
: "cc", "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15"
);
r0 += 2;
r1 += 2;
r2 += 2;
}
kernel0 += 9;
kernel1 += 9;
}
}
#pragma omp parallel for num_threads(opt.num_threads)
for (int p=remain_outch_start; p<outch; p++)
{
Mat out0 = top_blob.channel(p);
out0.fill(0);
const signed char* kernel0 = (const signed char *)kernel + p * inch * 9;
for (int q=0; q<inch; q++)
{
int* outptr0 = out0;
int* outptr0n = outptr0 + outw;
const signed char* img0 = bottom_blob.channel(q);
const signed char* r0 = img0;
const signed char* r1 = img0 + w;
const signed char* r2 = img0 + w*2;
const signed char* r3 = img0 + w*3;
const signed char* k00 = kernel0;
const signed char* k03 = kernel0 + 3;
const signed char* k06 = kernel0 + 6;
int i = 0;
for (; i+1 < outh; i+=2)
{
int nn = outw >> 3;
int remain = outw & 7;
asm volatile(
"vld1.8 {d26-d27}, [%0] \n"
: "=r"(kernel0) // %0
: "0"(kernel0)
: "cc", "memory"
);
if (nn > 0)
{
asm volatile(
"0: \n"
"pld [%3, #128] \n"
"vld1.32 {d0-d1}, [%3] \n"// r0
"add %3, #8 \n"
"vext.8 d2, d0, d1, #1 \n"
"vext.8 d3, d0, d1, #2 \n"
"vdup.s8 d1, d26[0] \n"
"vdup.s8 d30, d26[1] \n"
"vdup.s8 d31, d26[2] \n"
"vmull.s8 q2, d0, d1 \n"// k0
"vmlal.s8 q2, d2, d30 \n"// k1
"vmlal.s8 q2, d3, d31 \n"// k2
"pld [%4, #128] \n"
"vld1.32 {d6-d7}, [%4] \n"// r1
"add %4, #8 \n"
"vext.8 d8, d6, d7, #1 \n"
"vext.8 d9, d6, d7, #2 \n"
"vdup.s8 d1, d26[3] \n"
"vdup.s8 d30, d26[4] \n"
"vdup.s8 d31, d26[5] \n"
"vmlal.s8 q2, d6, d1 \n"// k3
"vmlal.s8 q2, d8, d30 \n"// k4
"vmlal.s8 q2, d9, d31 \n"// k5
"pld [%5, #128] \n"
"vld1.32 {d10-d11}, [%5] \n"// r2
"add %5, #8 \n"
"vext.8 d12, d10, d11, #1 \n"
"vext.8 d13, d10, d11, #2 \n"
"vdup.s8 d1, d26[6] \n"
"vdup.s8 d30, d26[7] \n"
"vdup.s8 d31, d27[0] \n"
"vmlal.s8 q2, d10, d1 \n"// k6
"vmlal.s8 q2, d12, d30 \n"// k7
"vmlal.s8 q2, d13, d31 \n"// k8
"pld [%6, #128] \n"
"vld1.32 {d14-d15}, [%6] \n"// r3
"add %6, #8 \n"
"vext.8 d16, d14, d15, #1 \n"
"vext.8 d17, d14, d15, #2 \n"
"pld [%1, #128] \n"
"vld1.32 {d18-d21}, [%1] \n"// sum0
"vaddw.s16 q9, q9, d4 \n"
"vaddw.s16 q10, q10, d5 \n"
"vst1.32 {d18-d21}, [%1]! \n"
"vdup.s8 d1, d26[0] \n"
"vdup.s8 d30, d26[1] \n"
"vdup.s8 d31, d26[2] \n"
"vmull.s8 q2, d6, d1 \n"// k0
"vmlal.s8 q2, d8, d30 \n"// k1
"vmlal.s8 q2, d9, d31 \n"// k2
"vdup.s8 d1, d26[3] \n"
"vdup.s8 d30, d26[4] \n"
"vdup.s8 d31, d26[5] \n"
"vmlal.s8 q2, d10, d1 \n"// k3
"vmlal.s8 q2, d12, d30 \n"// k4
"vmlal.s8 q2, d13, d31 \n"// k5
"vdup.s8 d1, d26[6] \n"
"vdup.s8 d30, d26[7] \n"
"vdup.s8 d31, d27[0] \n"
"vmlal.s8 q2, d14, d1 \n"// k6
"vmlal.s8 q2, d16, d30 \n"// k7
"vmlal.s8 q2, d17, d31 \n"// k8
"pld [%2, #128] \n"
"vld1.32 {d18-d21}, [%2] \n"// sum0n
"vaddw.s16 q9, q9, d4 \n"
"vaddw.s16 q10, q10, d5 \n"
"vst1.32 {d18-d21}, [%2]! \n"
"subs %0, #1 \n"
"bne 0b \n"
: "=r"(nn), // %0
"=r"(outptr0), // %1
"=r"(outptr0n), // %2
"=r"(r0), // %3
"=r"(r1), // %4
"=r"(r2), // %5
"=r"(r3) // %6
: "0"(nn),
"1"(outptr0),
"2"(outptr0n),
"3"(r0),
"4"(r1),
"5"(r2),
"6"(r3)
: "cc", "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15"
);
}
asm volatile(
"pld [%3, #128] \n"
"vld1.32 {d0-d1}, [%3] \n"// r0
"add %3, #4 \n"
"vext.8 d2, d0, d1, #1 \n"
"vext.8 d3, d0, d1, #2 \n"
"vdup.s8 d1, d26[0] \n"
"vdup.s8 d30, d26[1] \n"
"vdup.s8 d31, d26[2] \n"
"vmull.s8 q2, d0, d1 \n"// k0
"vmlal.s8 q2, d2, d30 \n"// k1
"vmlal.s8 q2, d3, d31 \n"// k2
"pld [%4, #128] \n"
"vld1.32 {d6-d7}, [%4] \n"// r1
"add %4, #4 \n"
"vext.8 d8, d6, d7, #1 \n"
"vext.8 d9, d6, d7, #2 \n"
"vdup.s8 d1, d26[3] \n"
"vdup.s8 d30, d26[4] \n"
"vdup.s8 d31, d26[5] \n"
"vmlal.s8 q2, d6, d1 \n"// k3
"vmlal.s8 q2, d8, d30 \n"// k4
"vmlal.s8 q2, d9, d31 \n"// k5
"pld [%5, #128] \n"
"vld1.32 {d10-d11}, [%5] \n"// r2
"add %5, #4 \n"
"vext.8 d12, d10, d11, #1 \n"
"vext.8 d13, d10, d11, #2 \n"
"vdup.s8 d1, d26[6] \n"
"vdup.s8 d30, d26[7] \n"
"vdup.s8 d31, d27[0] \n"
"vmlal.s8 q2, d10, d1 \n"// k6
"vmlal.s8 q2, d12, d30 \n"// k7
"vmlal.s8 q2, d13, d31 \n"// k8
"pld [%6, #128] \n"
"vld1.32 {d14-d15}, [%6] \n"// r3
"add %6, #4 \n"
"vext.8 d16, d14, d15, #1 \n"
"vext.8 d17, d14, d15, #2 \n"
"pld [%1, #128] \n"
"vld1.32 {d18-d19}, [%1] \n"// sum0
"vaddw.s16 q9, q9, d4 \n"
"vst1.32 {d18-d19}, [%1]! \n"
"vdup.s8 d1, d26[0] \n"
"vdup.s8 d30, d26[1] \n"
"vdup.s8 d31, d26[2] \n"
"vmull.s8 q2, d6, d1 \n"// k0
"vmlal.s8 q2, d8, d30 \n"// k1
"vmlal.s8 q2, d9, d31 \n"// k2
"vdup.s8 d1, d26[3] \n"
"vdup.s8 d30, d26[4] \n"
"vdup.s8 d31, d26[5] \n"
"vmlal.s8 q2, d10, d1 \n"// k3
"vmlal.s8 q2, d12, d30 \n"// k4
"vmlal.s8 q2, d13, d31 \n"// k5
"vdup.s8 d1, d26[6] \n"
"vdup.s8 d30, d26[7] \n"
"vdup.s8 d31, d27[0] \n"
"vmlal.s8 q2, d14, d1 \n"// k6
"vmlal.s8 q2, d16, d30 \n"// k7
"vmlal.s8 q2, d17, d31 \n"// k8
"pld [%2, #128] \n"
"vld1.32 {d18-d19}, [%2] \n"// sum0n
"vaddw.s16 q9, q9, d4 \n"
"vst1.32 {d18-d19}, [%2]! \n"
: "=r"(nn), // %0
"=r"(outptr0), // %1
"=r"(outptr0n), // %2
"=r"(r0), // %3
"=r"(r1), // %4
"=r"(r2), // %5
"=r"(r3) // %6
: "0"(nn),
"1"(outptr0),
"2"(outptr0n),
"3"(r0),
"4"(r1),
"5"(r2),
"6"(r3)
: "cc", "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15"
);
r0 += 2 + w;
r1 += 2 + w;
r2 += 2 + w;
r3 += 2 + w;
outptr0 += outw;
outptr0n += outw;
}
for (; i < outh; i++)
{
int nn = outw >> 3;
int remain = outw & 7;
asm volatile(
"vld1.8 {d26-d27}, [%0] \n"
: "=r"(kernel0) // %0
: "0"(kernel0)
: "cc", "memory"
);
if (nn > 0)
{
asm volatile(
"0: \n"
"pld [%2, #128] \n"
"vld1.32 {d0-d1}, [%2] \n"// r0
"add %2, #8 \n"
"vext.8 d2, d0, d1, #1 \n"
"vext.8 d3, d0, d1, #2 \n"
"vdup.s8 d1, d26[0] \n"
"vdup.s8 d30, d26[1] \n"
"vdup.s8 d31, d26[2] \n"
"vmull.s8 q2, d0, d1 \n"// k0
"vmlal.s8 q2, d2, d30 \n"// k1
"vmlal.s8 q2, d3, d31 \n"// k2
"pld [%3, #128] \n"
"vld1.32 {d6-d7}, [%3] \n"// r1
"add %3, #8 \n"
"vext.8 d8, d6, d7, #1 \n"
"vext.8 d9, d6, d7, #2 \n"
"vdup.s8 d1, d26[3] \n"
"vdup.s8 d30, d26[4] \n"
"vdup.s8 d31, d26[5] \n"
"vmlal.s8 q2, d6, d1 \n"// k3
"vmlal.s8 q2, d8, d30 \n"// k4
"vmlal.s8 q2, d9, d31 \n"// k5
"pld [%4, #128] \n"
"vld1.32 {d10-d11}, [%4] \n"// r2
"add %4, #8 \n"
"vext.8 d12, d10, d11, #1 \n"
"vext.8 d13, d10, d11, #2 \n"
"vdup.s8 d1, d26[6] \n"
"vdup.s8 d30, d26[7] \n"
"vdup.s8 d31, d27[0] \n"
"vmlal.s8 q2, d10, d1 \n"// k6
"vmlal.s8 q2, d12, d30 \n"// k7
"vmlal.s8 q2, d13, d31 \n"// k8
"pld [%1, #128] \n"
"vld1.32 {d18-d21}, [%1] \n"// sum0
"vaddw.s16 q9, q9, d4 \n"
"vaddw.s16 q10, q10, d5 \n"
"vst1.32 {d18-d21}, [%1]! \n"
"subs %0, #1 \n"
"bne 0b \n"
: "=r"(nn), // %0
"=r"(outptr0), // %1
"=r"(r0), // %2
"=r"(r1), // %3
"=r"(r2) // %4
: "0"(nn),
"1"(outptr0),
"2"(r0),
"3"(r1),
"4"(r2)
: "cc", "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15"
);
}
asm volatile(
"pld [%2, #128] \n"
"vld1.32 {d0-d1}, [%2] \n"// r0
"add %2, #4 \n"
"vext.8 d2, d0, d1, #1 \n"
"vext.8 d3, d0, d1, #2 \n"
"vdup.s8 d1, d26[0] \n"
"vdup.s8 d30, d26[1] \n"
"vdup.s8 d31, d26[2] \n"
"vmull.s8 q2, d0, d1 \n"// k0
"vmlal.s8 q2, d2, d30 \n"// k1
"vmlal.s8 q2, d3, d31 \n"// k2
"pld [%3, #128] \n"
"vld1.32 {d6-d7}, [%3] \n"// r1
"add %3, #4 \n"
"vext.8 d8, d6, d7, #1 \n"
"vext.8 d9, d6, d7, #2 \n"
"vdup.s8 d1, d26[3] \n"
"vdup.s8 d30, d26[4] \n"
"vdup.s8 d31, d26[5] \n"
"vmlal.s8 q2, d6, d1 \n"// k3
"vmlal.s8 q2, d8, d30 \n"// k4
"vmlal.s8 q2, d9, d31 \n"// k5
"pld [%4, #128] \n"
"vld1.32 {d10-d11}, [%4] \n"// r2
"add %4, #4 \n"
"vext.8 d12, d10, d11, #1 \n"
"vext.8 d13, d10, d11, #2 \n"
"vdup.s8 d1, d26[6] \n"
"vdup.s8 d30, d26[7] \n"
"vdup.s8 d31, d27[0] \n"
"vmlal.s8 q2, d10, d1 \n"// k6
"vmlal.s8 q2, d12, d30 \n"// k7
"vmlal.s8 q2, d13, d31 \n"// k8
"pld [%1, #128] \n"
"vld1.32 {d18-d19}, [%1] \n"// sum0
"vaddw.s16 q9, q9, d4 \n"
"vst1.32 {d18-d19}, [%1]! \n"
: "=r"(nn), // %0
"=r"(outptr0), // %1
"=r"(r0), // %2
"=r"(r1), // %3
"=r"(r2) // %4
: "0"(nn),
"1"(outptr0),
"2"(r0),
"3"(r1),
"4"(r2)
: "cc", "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15"
);
r0 += 2;
r1 += 2;
r2 += 2;
}
kernel0 += 9;
}
}
}
static void conv3x3s1_neon_s8_left6(const Mat& bottom_blob, Mat& top_blob, const Mat& _kernel, const Option& opt)
{
int w = bottom_blob.w;
int h = bottom_blob.h;
int inch = bottom_blob.c;
int outw = top_blob.w;
int outh = top_blob.h;
int outch = top_blob.c;
const float* kernel = _kernel;
int nn_outch = outch >> 1;
int remain_outch_start = nn_outch << 1;
#pragma omp parallel for num_threads(opt.num_threads)
for (int pp=0; pp < nn_outch; pp++)
{
int p = pp * 2;
Mat out0 = top_blob.channel(p);
Mat out1 = top_blob.channel(p+1);
out0.fill(0);
out1.fill(0);
const signed char* kernel0 = (const signed char *)kernel + p * inch * 9;
const signed char* kernel1 = (const signed char *)kernel + (p + 1) * inch * 9;
for (int q=0; q<inch; q++)
{
int* outptr0 = out0;
int* outptr1 = out1;
int* outptr0n = outptr0 + outw;
int* outptr1n = outptr1 + outw;
const signed char* img0 = bottom_blob.channel(q);
const signed char* r0 = img0;
const signed char* r1 = img0 + w;
const signed char* r2 = img0 + w*2;
const signed char* r3 = img0 + w*3;
const signed char* k00 = kernel0;
const signed char* k03 = kernel0 + 3;
const signed char* k06 = kernel0 + 6;
const signed char* k10 = kernel1;
const signed char* k13 = kernel1 + 3;
const signed char* k16 = kernel1 + 6;
int i = 0;
for (; i+1 < outh; i+=2)
{
int nn = outw >> 3;
int remain = outw & 7;
asm volatile(
"vld1.8 {d26-d27}, [%0] \n" // k00 k01 k02 k03 k04 k05 k06 k07 k08
"vld1.8 {d28-d29}, [%1] \n" // k10 k11 k12 k13 k14 k15 k16 k17 k18
: "=r"(kernel0), // %0
"=r"(kernel1) // %1
: "0"(kernel0),
"1"(kernel1)
: "cc", "memory"
);
if (nn > 0)
{
asm volatile(
"0: \n"
"pld [%5, #128] \n"
"vld1.32 {d0-d1}, [%5] \n"// r0
"add %5, #8 \n"
"vext.8 d2, d0, d1, #1 \n"
"vext.8 d3, d0, d1, #2 \n"
"vdup.s8 d1, d26[0] \n"
"vdup.s8 d30, d26[1] \n"
"vdup.s8 d31, d26[2] \n"
"vmull.s8 q2, d0, d1 \n"// k0
"vmlal.s8 q2, d2, d30 \n"// k1
"vmlal.s8 q2, d3, d31 \n"// k2
"pld [%6, #128] \n"
"vld1.32 {d6-d7}, [%6] \n"// r1
"add %6, #8 \n"
"vext.8 d8, d6, d7, #1 \n"
"vext.8 d9, d6, d7, #2 \n"
"vdup.s8 d1, d26[3] \n"
"vdup.s8 d30, d26[4] \n"
"vdup.s8 d31, d26[5] \n"
"vmlal.s8 q2, d6, d1 \n"// k3
"vmlal.s8 q2, d8, d30 \n"// k4
"vmlal.s8 q2, d9, d31 \n"// k5
"pld [%7, #128] \n"
"vld1.32 {d10-d11}, [%7] \n"// r2
"add %7, #8 \n"
"vext.8 d12, d10, d11, #1 \n"
"vext.8 d13, d10, d11, #2 \n"
"vdup.s8 d1, d26[6] \n"
"vdup.s8 d30, d26[7] \n"
"vdup.s8 d31, d27[0] \n"
"vmlal.s8 q2, d10, d1 \n"// k6
"vmlal.s8 q2, d12, d30 \n"// k7
"vmlal.s8 q2, d13, d31 \n"// k8
"pld [%8, #128] \n"
"vld1.32 {d14-d15}, [%8] \n"// r3
"add %8, #8 \n"
"vext.8 d16, d14, d15, #1 \n"
"vext.8 d17, d14, d15, #2 \n"
"pld [%1, #128] \n"
"vld1.32 {d18-d21}, [%1] \n"// sum0
"vaddw.s16 q9, q9, d4 \n"
"vaddw.s16 q10, q10, d5 \n"
"vst1.32 {d18-d21}, [%1]! \n"
"vdup.s8 d1, d26[0] \n"
"vdup.s8 d30, d26[1] \n"
"vdup.s8 d31, d26[2] \n"
"vmull.s8 q2, d6, d1 \n"// k0
"vmlal.s8 q2, d8, d30 \n"// k1
"vmlal.s8 q2, d9, d31 \n"// k2
"vdup.s8 d1, d26[3] \n"
"vdup.s8 d30, d26[4] \n"
"vdup.s8 d31, d26[5] \n"
"vmlal.s8 q2, d10, d1 \n"// k3
"vmlal.s8 q2, d12, d30 \n"// k4
"vmlal.s8 q2, d13, d31 \n"// k5
"vdup.s8 d1, d26[6] \n"
"vdup.s8 d30, d26[7] \n"
"vdup.s8 d31, d27[0] \n"
"vmlal.s8 q2, d14, d1 \n"// k6
"vmlal.s8 q2, d16, d30 \n"// k7
"vmlal.s8 q2, d17, d31 \n"// k8
"pld [%2, #128] \n"
"vld1.32 {d18-d21}, [%2] \n"// sum0n
"vaddw.s16 q9, q9, d4 \n"
"vaddw.s16 q10, q10, d5 \n"
"vst1.32 {d18-d21}, [%2]! \n"
"vdup.s8 d1, d28[0] \n"
"vdup.s8 d30, d28[1] \n"
"vdup.s8 d31, d28[2] \n"
"vmull.s8 q2, d0, d1 \n"// k0n
"vmlal.s8 q2, d2, d30 \n"// k1n
"vmlal.s8 q2, d3, d31 \n"// k2n
"vdup.s8 d1, d28[3] \n"
"vdup.s8 d30, d28[4] \n"
"vdup.s8 d31, d28[5] \n"
"vmlal.s8 q2, d6, d1 \n"// k3n
"vmlal.s8 q2, d8, d30 \n"// k4n
"vmlal.s8 q2, d9, d31 \n"// k5n
"vdup.s8 d1, d28[6] \n"
"vdup.s8 d30, d28[7] \n"
"vdup.s8 d31, d29[0] \n"
"vmlal.s8 q2, d10, d1 \n"// k6n
"vmlal.s8 q2, d12, d30 \n"// k7n
"vmlal.s8 q2, d13, d31 \n"// k8n
"pld [%3, #128] \n"
"vld1.32 {d18-d21}, [%3] \n"// sum1
"vaddw.s16 q9, q9, d4 \n"
"vaddw.s16 q10, q10, d5 \n"
"vst1.32 {d18-d21}, [%3]! \n"
"vdup.s8 d1, d28[0] \n"
"vdup.s8 d30, d28[1] \n"
"vdup.s8 d31, d28[2] \n"
"vmull.s8 q2, d6, d1 \n"// k0n
"vmlal.s8 q2, d8, d30 \n"// k1n
"vmlal.s8 q2, d9, d31 \n"// k2n
"vdup.s8 d1, d28[3] \n"
"vdup.s8 d30, d28[4] \n"
"vdup.s8 d31, d28[5] \n"
"vmlal.s8 q2, d10, d1 \n"// k3n
"vmlal.s8 q2, d12, d30 \n"// k4n
"vmlal.s8 q2, d13, d31 \n"// k5n
"vdup.s8 d1, d28[6] \n"
"vdup.s8 d30, d28[7] \n"
"vdup.s8 d31, d29[0] \n"
"vmlal.s8 q2, d14, d1 \n"// k6n
"vmlal.s8 q2, d16, d30 \n"// k7n
"vmlal.s8 q2, d17, d31 \n"// k8n
"pld [%4, #128] \n"
"vld1.32 {d18-d21}, [%4] \n"// sum1n
"vaddw.s16 q9, q9, d4 \n"
"vaddw.s16 q10, q10, d5 \n"
"vst1.32 {d18-d21}, [%4]! \n"
"subs %0, #1 \n"
"bne 0b \n"
: "=r"(nn), // %0
"=r"(outptr0), // %1
"=r"(outptr0n), // %2
"=r"(outptr1), // %3
"=r"(outptr1n), // %4
"=r"(r0), // %5
"=r"(r1), // %6
"=r"(r2), // %7
"=r"(r3) // %8
: "0"(nn),
"1"(outptr0),
"2"(outptr0n),
"3"(outptr1),
"4"(outptr1n),
"5"(r0),
"6"(r1),
"7"(r2),
"8"(r3)
: "cc", "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11", "q12", "q15"
);
}
asm volatile(
"pld [%5, #128] \n"
"vld1.32 {d0-d1}, [%5] \n"// r0
"add %5, #6 \n"
"vext.8 d2, d0, d1, #1 \n"
"vext.8 d3, d0, d1, #2 \n"
"vdup.s8 d1, d26[0] \n"
"vdup.s8 d30, d26[1] \n"
"vdup.s8 d31, d26[2] \n"
"vmull.s8 q2, d0, d1 \n"// k0
"vmlal.s8 q2, d2, d30 \n"// k1
"vmlal.s8 q2, d3, d31 \n"// k2
"pld [%6, #128] \n"
"vld1.32 {d6-d7}, [%6] \n"// r1
"add %6, #6 \n"
"vext.8 d8, d6, d7, #1 \n"
"vext.8 d9, d6, d7, #2 \n"
"vdup.s8 d1, d26[3] \n"
"vdup.s8 d30, d26[4] \n"
"vdup.s8 d31, d26[5] \n"
"vmlal.s8 q2, d6, d1 \n"// k3
"vmlal.s8 q2, d8, d30 \n"// k4
"vmlal.s8 q2, d9, d31 \n"// k5
"pld [%7, #128] \n"
"vld1.32 {d10-d11}, [%7] \n"// r2
"add %7, #6 \n"
"vext.8 d12, d10, d11, #1 \n"
"vext.8 d13, d10, d11, #2 \n"
"vdup.s8 d1, d26[6] \n"
"vdup.s8 d30, d26[7] \n"
"vdup.s8 d31, d27[0] \n"
"vmlal.s8 q2, d10, d1 \n"// k6
"vmlal.s8 q2, d12, d30 \n"// k7
"vmlal.s8 q2, d13, d31 \n"// k8
"pld [%8, #128] \n"
"vld1.32 {d14-d15}, [%8] \n"// r3
"add %8, #6 \n"
"vext.8 d16, d14, d15, #1 \n"
"vext.8 d17, d14, d15, #2 \n"
"pld [%1, #128] \n"
"vld1.32 {d18-d20}, [%1] \n"// sum0
"vaddw.s16 q9, q9, d4 \n"
"vaddw.s16 q10, q10, d5 \n"
"vst1.32 {d18-d20}, [%1]! \n"
"vdup.s8 d1, d26[0] \n"
"vdup.s8 d30, d26[1] \n"
"vdup.s8 d31, d26[2] \n"
"vmull.s8 q2, d6, d1 \n"// k0
"vmlal.s8 q2, d8, d30 \n"// k1
"vmlal.s8 q2, d9, d31 \n"// k2
"vdup.s8 d1, d26[3] \n"
"vdup.s8 d30, d26[4] \n"
"vdup.s8 d31, d26[5] \n"
"vmlal.s8 q2, d10, d1 \n"// k3
"vmlal.s8 q2, d12, d30 \n"// k4
"vmlal.s8 q2, d13, d31 \n"// k5
"vdup.s8 d1, d26[6] \n"
"vdup.s8 d30, d26[7] \n"
"vdup.s8 d31, d27[0] \n"
"vmlal.s8 q2, d14, d1 \n"// k6
"vmlal.s8 q2, d16, d30 \n"// k7
"vmlal.s8 q2, d17, d31 \n"// k8
"pld [%2, #128] \n"
"vld1.32 {d18-d20}, [%2] \n"// sum0n
"vaddw.s16 q9, q9, d4 \n"
"vaddw.s16 q10, q10, d5 \n"
"vst1.32 {d18-d20}, [%2]! \n"
"vdup.s8 d1, d28[0] \n"
"vdup.s8 d30, d28[1] \n"
"vdup.s8 d31, d28[2] \n"
"vmull.s8 q2, d0, d1 \n"// k0n
"vmlal.s8 q2, d2, d30 \n"// k1n
"vmlal.s8 q2, d3, d31 \n"// k2n
"vdup.s8 d1, d28[3] \n"
"vdup.s8 d30, d28[4] \n"
"vdup.s8 d31, d28[5] \n"
"vmlal.s8 q2, d6, d1 \n"// k3n
"vmlal.s8 q2, d8, d30 \n"// k4n
"vmlal.s8 q2, d9, d31 \n"// k5n
"vdup.s8 d1, d28[6] \n"
"vdup.s8 d30, d28[7] \n"
"vdup.s8 d31, d29[0] \n"
"vmlal.s8 q2, d10, d1 \n"// k6n
"vmlal.s8 q2, d12, d30 \n"// k7n
"vmlal.s8 q2, d13, d31 \n"// k8n
"pld [%3, #128] \n"
"vld1.32 {d18-d20}, [%3] \n"// sum1
"vaddw.s16 q9, q9, d4 \n"
"vaddw.s16 q10, q10, d5 \n"
"vst1.32 {d18-d20}, [%3]! \n"
"vdup.s8 d1, d28[0] \n"
"vdup.s8 d30, d28[1] \n"
"vdup.s8 d31, d28[2] \n"
"vmull.s8 q2, d6, d1 \n"// k0n
"vmlal.s8 q2, d8, d30 \n"// k1n
"vmlal.s8 q2, d9, d31 \n"// k2n
"vdup.s8 d1, d28[3] \n"
"vdup.s8 d30, d28[4] \n"
"vdup.s8 d31, d28[5] \n"
"vmlal.s8 q2, d10, d1 \n"// k3n
"vmlal.s8 q2, d12, d30 \n"// k4n
"vmlal.s8 q2, d13, d31 \n"// k5n
"vdup.s8 d1, d28[6] \n"
"vdup.s8 d30, d28[7] \n"
"vdup.s8 d31, d29[0] \n"
"vmlal.s8 q2, d14, d1 \n"// k6n
"vmlal.s8 q2, d16, d30 \n"// k7n
"vmlal.s8 q2, d17, d31 \n"// k8n
"pld [%4, #128] \n"
"vld1.32 {d18-d20}, [%4] \n"// sum1n
"vaddw.s16 q9, q9, d4 \n"
"vaddw.s16 q10, q10, d5 \n"
"vst1.32 {d18-d20}, [%4]! \n"
: "=r"(nn), // %0
"=r"(outptr0), // %1
"=r"(outptr0n), // %2
"=r"(outptr1), // %3
"=r"(outptr1n), // %4
"=r"(r0), // %5
"=r"(r1), // %6
"=r"(r2), // %7
"=r"(r3) // %8
: "0"(nn),
"1"(outptr0),
"2"(outptr0n),
"3"(outptr1),
"4"(outptr1n),
"5"(r0),
"6"(r1),
"7"(r2),
"8"(r3)
: "cc", "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11", "q12", "q15"
);
r0 += 2 + w;
r1 += 2 + w;
r2 += 2 + w;
r3 += 2 + w;
outptr0 += outw;
outptr1 += outw;
outptr0n += outw;
outptr1n += outw;
}
for (; i < outh; i++)
{
int nn = outw >> 3;
int remain = outw & 7;
asm volatile(
"vld1.8 {d26-d27}, [%0] \n"
"vld1.8 {d28-d29}, [%1] \n"
: "=r"(kernel0), // %0
"=r"(kernel1) // %1
: "0"(kernel0),
"1"(kernel1)
: "cc", "memory"
);
if (nn > 0)
{
asm volatile(
"0: \n"
"pld [%3, #128] \n"
"vld1.32 {d0-d1}, [%3] \n"// r0
"add %3, #8 \n"
"vext.8 d2, d0, d1, #1 \n"
"vext.8 d3, d0, d1, #2 \n"
"vdup.s8 d1, d26[0] \n"
"vdup.s8 d30, d26[1] \n"
"vdup.s8 d31, d26[2] \n"
"vmull.s8 q2, d0, d1 \n"// k0
"vmlal.s8 q2, d2, d30 \n"// k1
"vmlal.s8 q2, d3, d31 \n"// k2
"pld [%4, #128] \n"
"vld1.32 {d6-d7}, [%4] \n"// r1
"add %4, #8 \n"
"vext.8 d8, d6, d7, #1 \n"
"vext.8 d9, d6, d7, #2 \n"
"vdup.s8 d1, d26[3] \n"
"vdup.s8 d30, d26[4] \n"
"vdup.s8 d31, d26[5] \n"
"vmlal.s8 q2, d6, d1 \n"// k3
"vmlal.s8 q2, d8, d30 \n"// k4
"vmlal.s8 q2, d9, d31 \n"// k5
"pld [%5, #128] \n"
"vld1.32 {d10-d11}, [%5] \n"// r2
"add %5, #8 \n"
"vext.8 d12, d10, d11, #1 \n"
"vext.8 d13, d10, d11, #2 \n"
"vdup.s8 d1, d26[6] \n"
"vdup.s8 d30, d26[7] \n"
"vdup.s8 d31, d27[0] \n"
"vmlal.s8 q2, d10, d1 \n"// k6
"vmlal.s8 q2, d12, d30 \n"// k7
"vmlal.s8 q2, d13, d31 \n"// k8
"pld [%1, #128] \n"
"vld1.32 {d18-d21}, [%1] \n"// sum0
"vaddw.s16 q9, q9, d4 \n"
"vaddw.s16 q10, q10, d5 \n"
"vst1.32 {d18-d21}, [%1]! \n"
"vdup.s8 d1, d28[0] \n"
"vdup.s8 d7, d28[1] \n"
"vdup.s8 d11, d28[2] \n"
"vmull.s8 q2, d0, d1 \n"// k0n
"vmlal.s8 q2, d2, d7 \n"// k1n
"vmlal.s8 q2, d3, d11 \n"// k2n
"vdup.s8 d1, d28[3] \n"
"vdup.s8 d7, d28[4] \n"
"vdup.s8 d11, d28[5] \n"
"vmlal.s8 q2, d6, d1 \n"// k3n
"vmlal.s8 q2, d8, d7 \n"// k4n
"vmlal.s8 q2, d9, d11 \n"// k5n
"vdup.s8 d1, d28[6] \n"
"vdup.s8 d7, d28[7] \n"
"vdup.s8 d11, d29[0] \n"
"vmlal.s8 q2, d10, d1 \n"// k6n
"vmlal.s8 q2, d12, d7 \n"// k7n
"vmlal.s8 q2, d13, d11 \n"// k8n
"pld [%2, #128] \n"
"vld1.32 {d18-d21}, [%2] \n"// sum1
"vaddw.s16 q9, q9, d4 \n"
"vaddw.s16 q10, q10, d5 \n"
"vst1.32 {d18-d21}, [%2]! \n"
"subs %0, #1 \n"
"bne 0b \n"
: "=r"(nn), // %0
"=r"(outptr0), // %1
"=r"(outptr1), // %2
"=r"(r0), // %3
"=r"(r1), // %4
"=r"(r2) // %5
: "0"(nn),
"1"(outptr0),
"2"(outptr1),
"3"(r0),
"4"(r1),
"5"(r2)
: "cc", "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15"
);
}
asm volatile(
"pld [%3, #128] \n"
"vld1.32 {d0-d1}, [%3] \n"// r0
"add %3, #6 \n"
"vext.8 d2, d0, d1, #1 \n"
"vext.8 d3, d0, d1, #2 \n"
"vdup.s8 d1, d26[0] \n"
"vdup.s8 d30, d26[1] \n"
"vdup.s8 d31, d26[2] \n"
"vmull.s8 q2, d0, d1 \n"// k0
"vmlal.s8 q2, d2, d30 \n"// k1
"vmlal.s8 q2, d3, d31 \n"// k2
"pld [%4, #128] \n"
"vld1.32 {d6-d7}, [%4] \n"// r1
"add %4, #6 \n"
"vext.8 d8, d6, d7, #1 \n"
"vext.8 d9, d6, d7, #2 \n"
"vdup.s8 d1, d26[3] \n"
"vdup.s8 d30, d26[4] \n"
"vdup.s8 d31, d26[5] \n"
"vmlal.s8 q2, d6, d1 \n"// k3
"vmlal.s8 q2, d8, d30 \n"// k4
"vmlal.s8 q2, d9, d31 \n"// k5
"pld [%5, #128] \n"
"vld1.32 {d10-d11}, [%5] \n"// r2
"add %5, #6 \n"
"vext.8 d12, d10, d11, #1 \n"
"vext.8 d13, d10, d11, #2 \n"
"vdup.s8 d1, d26[6] \n"
"vdup.s8 d30, d26[7] \n"
"vdup.s8 d31, d27[0] \n"
"vmlal.s8 q2, d10, d1 \n"// k6
"vmlal.s8 q2, d12, d30 \n"// k7
"vmlal.s8 q2, d13, d31 \n"// k8
"pld [%1, #128] \n"
"vld1.32 {d18-d20}, [%1] \n"// sum0
"vaddw.s16 q9, q9, d4 \n"
"vaddw.s16 q10, q10, d5 \n"
"vst1.32 {d18-d20}, [%1]! \n"
"vdup.s8 d1, d28[0] \n"
"vdup.s8 d7, d28[1] \n"
"vdup.s8 d11, d28[2] \n"
"vmull.s8 q2, d0, d1 \n"// k0n
"vmlal.s8 q2, d2, d7 \n"// k1n
"vmlal.s8 q2, d3, d11 \n"// k2n
"vdup.s8 d1, d28[3] \n"
"vdup.s8 d7, d28[4] \n"
"vdup.s8 d11, d28[5] \n"
"vmlal.s8 q2, d6, d1 \n"// k3n
"vmlal.s8 q2, d8, d7 \n"// k4n
"vmlal.s8 q2, d9, d11 \n"// k5n
"vdup.s8 d1, d28[6] \n"
"vdup.s8 d7, d28[7] \n"
"vdup.s8 d11, d29[0] \n"
"vmlal.s8 q2, d10, d1 \n"// k6n
"vmlal.s8 q2, d12, d7 \n"// k7n
"vmlal.s8 q2, d13, d11 \n"// k8n
"pld [%2, #128] \n"
"vld1.32 {d18-d20}, [%2] \n"// sum1
"vaddw.s16 q9, q9, d4 \n"
"vaddw.s16 q10, q10, d5 \n"
"vst1.32 {d18-d20}, [%2]! \n"
: "=r"(nn), // %0
"=r"(outptr0), // %1
"=r"(outptr1), // %2
"=r"(r0), // %3
"=r"(r1), // %4
"=r"(r2) // %5
: "0"(nn),
"1"(outptr0),
"2"(outptr1),
"3"(r0),
"4"(r1),
"5"(r2)
: "cc", "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15"
);
r0 += 2;
r1 += 2;
r2 += 2;
}
kernel0 += 9;
kernel1 += 9;
}
}
#pragma omp parallel for num_threads(opt.num_threads)
for (int p=remain_outch_start; p<outch; p++)
{
Mat out0 = top_blob.channel(p);
out0.fill(0);
const signed char* kernel0 = (const signed char *)kernel + p * inch * 9;
for (int q=0; q<inch; q++)
{
int* outptr0 = out0;
int* outptr0n = outptr0 + outw;
const signed char* img0 = bottom_blob.channel(q);
const signed char* r0 = img0;
const signed char* r1 = img0 + w;
const signed char* r2 = img0 + w * 2;
const signed char* r3 = img0 + w * 3;
const signed char* k00 = kernel0;
const signed char* k03 = kernel0 + 3;
const signed char* k06 = kernel0 + 6;
int i = 0;
for (; i+1 < outh; i+=2)
{
int nn = outw >> 3;
int remain = outw & 7;
asm volatile(
"vld1.8 {d26-d27}, [%0] \n"
: "=r"(kernel0) // %0
: "0"(kernel0)
: "cc", "memory"
);
if (nn > 0)
{
asm volatile(
"0: \n"
"pld [%3, #128] \n"
"vld1.32 {d0-d1}, [%3] \n"// r0
"add %3, #8 \n"
"vext.8 d2, d0, d1, #1 \n"
"vext.8 d3, d0, d1, #2 \n"
"vdup.s8 d1, d26[0] \n"
"vdup.s8 d30, d26[1] \n"
"vdup.s8 d31, d26[2] \n"
"vmull.s8 q2, d0, d1 \n"// k0
"vmlal.s8 q2, d2, d30 \n"// k1
"vmlal.s8 q2, d3, d31 \n"// k2
"pld [%4, #128] \n"
"vld1.32 {d6-d7}, [%4] \n"// r1
"add %4, #8 \n"
"vext.8 d8, d6, d7, #1 \n"
"vext.8 d9, d6, d7, #2 \n"
"vdup.s8 d1, d26[3] \n"
"vdup.s8 d30, d26[4] \n"
"vdup.s8 d31, d26[5] \n"
"vmlal.s8 q2, d6, d1 \n"// k3
"vmlal.s8 q2, d8, d30 \n"// k4
"vmlal.s8 q2, d9, d31 \n"// k5
"pld [%5, #128] \n"
"vld1.32 {d10-d11}, [%5] \n"// r2
"add %5, #8 \n"
"vext.8 d12, d10, d11, #1 \n"
"vext.8 d13, d10, d11, #2 \n"
"vdup.s8 d1, d26[6] \n"
"vdup.s8 d30, d26[7] \n"
"vdup.s8 d31, d27[0] \n"
"vmlal.s8 q2, d10, d1 \n"// k6
"vmlal.s8 q2, d12, d30 \n"// k7
"vmlal.s8 q2, d13, d31 \n"// k8
"pld [%6, #128] \n"
"vld1.32 {d14-d15}, [%6] \n"// r3
"add %6, #8 \n"
"vext.8 d16, d14, d15, #1 \n"
"vext.8 d17, d14, d15, #2 \n"
"pld [%1, #128] \n"
"vld1.32 {d18-d21}, [%1] \n"// sum0
"vaddw.s16 q9, q9, d4 \n"
"vaddw.s16 q10, q10, d5 \n"
"vst1.32 {d18-d21}, [%1]! \n"
"vdup.s8 d1, d26[0] \n"
"vdup.s8 d30, d26[1] \n"
"vdup.s8 d31, d26[2] \n"
"vmull.s8 q2, d6, d1 \n"// k0
"vmlal.s8 q2, d8, d30 \n"// k1
"vmlal.s8 q2, d9, d31 \n"// k2
"vdup.s8 d1, d26[3] \n"
"vdup.s8 d30, d26[4] \n"
"vdup.s8 d31, d26[5] \n"
"vmlal.s8 q2, d10, d1 \n"// k3
"vmlal.s8 q2, d12, d30 \n"// k4
"vmlal.s8 q2, d13, d31 \n"// k5
"vdup.s8 d1, d26[6] \n"
"vdup.s8 d30, d26[7] \n"
"vdup.s8 d31, d27[0] \n"
"vmlal.s8 q2, d14, d1 \n"// k6
"vmlal.s8 q2, d16, d30 \n"// k7
"vmlal.s8 q2, d17, d31 \n"// k8
"pld [%2, #128] \n"
"vld1.32 {d18-d21}, [%2] \n"// sum0n
"vaddw.s16 q9, q9, d4 \n"
"vaddw.s16 q10, q10, d5 \n"
"vst1.32 {d18-d21}, [%2]! \n"
"subs %0, #1 \n"
"bne 0b \n"
: "=r"(nn), // %0
"=r"(outptr0), // %1
"=r"(outptr0n), // %2
"=r"(r0), // %3
"=r"(r1), // %4
"=r"(r2), // %5
"=r"(r3) // %6
: "0"(nn),
"1"(outptr0),
"2"(outptr0n),
"3"(r0),
"4"(r1),
"5"(r2),
"6"(r3)
: "cc", "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15"
);
}
asm volatile(
"pld [%3, #128] \n"
"vld1.32 {d0-d1}, [%3] \n"// r0
"add %3, #6 \n"
"vext.8 d2, d0, d1, #1 \n"
"vext.8 d3, d0, d1, #2 \n"
"vdup.s8 d1, d26[0] \n"
"vdup.s8 d30, d26[1] \n"
"vdup.s8 d31, d26[2] \n"
"vmull.s8 q2, d0, d1 \n"// k0
"vmlal.s8 q2, d2, d30 \n"// k1
"vmlal.s8 q2, d3, d31 \n"// k2
"pld [%4, #128] \n"
"vld1.32 {d6-d7}, [%4] \n"// r1
"add %4, #6 \n"
"vext.8 d8, d6, d7, #1 \n"
"vext.8 d9, d6, d7, #2 \n"
"vdup.s8 d1, d26[3] \n"
"vdup.s8 d30, d26[4] \n"
"vdup.s8 d31, d26[5] \n"
"vmlal.s8 q2, d6, d1 \n"// k3
"vmlal.s8 q2, d8, d30 \n"// k4
"vmlal.s8 q2, d9, d31 \n"// k5
"pld [%5, #128] \n"
"vld1.32 {d10-d11}, [%5] \n"// r2
"add %5, #6 \n"
"vext.8 d12, d10, d11, #1 \n"
"vext.8 d13, d10, d11, #2 \n"
"vdup.s8 d1, d26[6] \n"
"vdup.s8 d30, d26[7] \n"
"vdup.s8 d31, d27[0] \n"
"vmlal.s8 q2, d10, d1 \n"// k6
"vmlal.s8 q2, d12, d30 \n"// k7
"vmlal.s8 q2, d13, d31 \n"// k8
"pld [%6, #128] \n"
"vld1.32 {d14-d15}, [%6] \n"// r3
"add %6, #6 \n"
"vext.8 d16, d14, d15, #1 \n"
"vext.8 d17, d14, d15, #2 \n"
"pld [%1, #128] \n"
"vld1.32 {d18-d20}, [%1] \n"// sum0
"vaddw.s16 q9, q9, d4 \n"
"vaddw.s16 q10, q10, d5 \n"
"vst1.32 {d18-d20}, [%1]! \n"
"vdup.s8 d1, d26[0] \n"
"vdup.s8 d30, d26[1] \n"
"vdup.s8 d31, d26[2] \n"
"vmull.s8 q2, d6, d1 \n"// k0
"vmlal.s8 q2, d8, d30 \n"// k1
"vmlal.s8 q2, d9, d31 \n"// k2
"vdup.s8 d1, d26[3] \n"
"vdup.s8 d30, d26[4] \n"
"vdup.s8 d31, d26[5] \n"
"vmlal.s8 q2, d10, d1 \n"// k3
"vmlal.s8 q2, d12, d30 \n"// k4
"vmlal.s8 q2, d13, d31 \n"// k5
"vdup.s8 d1, d26[6] \n"
"vdup.s8 d30, d26[7] \n"
"vdup.s8 d31, d27[0] \n"
"vmlal.s8 q2, d14, d1 \n"// k6
"vmlal.s8 q2, d16, d30 \n"// k7
"vmlal.s8 q2, d17, d31 \n"// k8
"pld [%2, #128] \n"
"vld1.32 {d18-d20}, [%2] \n"// sum0n
"vaddw.s16 q9, q9, d4 \n"
"vaddw.s16 q10, q10, d5 \n"
"vst1.32 {d18-d20}, [%2]! \n"
: "=r"(nn), // %0
"=r"(outptr0), // %1
"=r"(outptr0n), // %2
"=r"(r0), // %3
"=r"(r1), // %4
"=r"(r2), // %5
"=r"(r3) // %6
: "0"(nn),
"1"(outptr0),
"2"(outptr0n),
"3"(r0),
"4"(r1),
"5"(r2),
"6"(r3)
: "cc", "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15"
);
r0 += 2 + w;
r1 += 2 + w;
r2 += 2 + w;
r3 += 2 + w;
outptr0 += outw;
outptr0n += outw;
}
for (; i < outh; i++)
{
int nn = outw >> 3;
int remain = outw & 7;
asm volatile(
"vld1.8 {d26-d27}, [%0] \n"
: "=r"(kernel0) // %0
: "0"(kernel0)
: "cc", "memory"
);
if (nn > 0)
{
asm volatile(
"0: \n"
"pld [%2, #128] \n"
"vld1.32 {d0-d1}, [%2] \n"// r0
"add %2, #8 \n"
"vext.8 d2, d0, d1, #1 \n"
"vext.8 d3, d0, d1, #2 \n"
"vdup.s8 d1, d26[0] \n"
"vdup.s8 d30, d26[1] \n"
"vdup.s8 d31, d26[2] \n"
"vmull.s8 q2, d0, d1 \n"// k0
"vmlal.s8 q2, d2, d30 \n"// k1
"vmlal.s8 q2, d3, d31 \n"// k2
"pld [%3, #128] \n"
"vld1.32 {d6-d7}, [%3] \n"// r1
"add %3, #8 \n"
"vext.8 d8, d6, d7, #1 \n"
"vext.8 d9, d6, d7, #2 \n"
"vdup.s8 d1, d26[3] \n"
"vdup.s8 d30, d26[4] \n"
"vdup.s8 d31, d26[5] \n"
"vmlal.s8 q2, d6, d1 \n"// k3
"vmlal.s8 q2, d8, d30 \n"// k4
"vmlal.s8 q2, d9, d31 \n"// k5
"pld [%4, #128] \n"
"vld1.32 {d10-d11}, [%4] \n"// r2
"add %4, #8 \n"
"vext.8 d12, d10, d11, #1 \n"
"vext.8 d13, d10, d11, #2 \n"
"vdup.s8 d1, d26[6] \n"
"vdup.s8 d30, d26[7] \n"
"vdup.s8 d31, d27[0] \n"
"vmlal.s8 q2, d10, d1 \n"// k6
"vmlal.s8 q2, d12, d30 \n"// k7
"vmlal.s8 q2, d13, d31 \n"// k8
"pld [%1, #128] \n"
"vld1.32 {d18-d21}, [%1] \n"// sum0
"vaddw.s16 q9, q9, d4 \n"
"vaddw.s16 q10, q10, d5 \n"
"vst1.32 {d18-d21}, [%1]! \n"
"subs %0, #1 \n"
"bne 0b \n"
: "=r"(nn), // %0
"=r"(outptr0), // %1
"=r"(r0), // %2
"=r"(r1), // %3
"=r"(r2) // %4
: "0"(nn),
"1"(outptr0),
"2"(r0),
"3"(r1),
"4"(r2)
: "cc", "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15"
);
}
asm volatile(
"pld [%2, #128] \n"
"vld1.32 {d0-d1}, [%2] \n"// r0
"add %2, #6 \n"
"vext.8 d2, d0, d1, #1 \n"
"vext.8 d3, d0, d1, #2 \n"
"vdup.s8 d1, d26[0] \n"
"vdup.s8 d30, d26[1] \n"
"vdup.s8 d31, d26[2] \n"
"vmull.s8 q2, d0, d1 \n"// k0
"vmlal.s8 q2, d2, d30 \n"// k1
"vmlal.s8 q2, d3, d31 \n"// k2
"pld [%3, #128] \n"
"vld1.32 {d6-d7}, [%3] \n"// r1
"add %3, #6 \n"
"vext.8 d8, d6, d7, #1 \n"
"vext.8 d9, d6, d7, #2 \n"
"vdup.s8 d1, d26[3] \n"
"vdup.s8 d30, d26[4] \n"
"vdup.s8 d31, d26[5] \n"
"vmlal.s8 q2, d6, d1 \n"// k3
"vmlal.s8 q2, d8, d30 \n"// k4
"vmlal.s8 q2, d9, d31 \n"// k5
"pld [%4, #128] \n"
"vld1.32 {d10-d11}, [%4] \n"// r2
"add %4, #6 \n"
"vext.8 d12, d10, d11, #1 \n"
"vext.8 d13, d10, d11, #2 \n"
"vdup.s8 d1, d26[6] \n"
"vdup.s8 d30, d26[7] \n"
"vdup.s8 d31, d27[0] \n"
"vmlal.s8 q2, d10, d1 \n"// k6
"vmlal.s8 q2, d12, d30 \n"// k7
"vmlal.s8 q2, d13, d31 \n"// k8
"pld [%1, #128] \n"
"vld1.32 {d18-d20}, [%1] \n"// sum0
"vaddw.s16 q9, q9, d4 \n"
"vaddw.s16 q10, q10, d5 \n"
"vst1.32 {d18-d20}, [%1]! \n"
: "=r"(nn), // %0
"=r"(outptr0), // %1
"=r"(r0), // %2
"=r"(r1), // %3
"=r"(r2) // %4
: "0"(nn),
"1"(outptr0),
"2"(r0),
"3"(r1),
"4"(r2)
: "cc", "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15"
);
r0 += 2;
r1 += 2;
r2 += 2;
}
kernel0 += 9;
}
}
}
static void conv3x3s2_neon_s8(const Mat& bottom_blob, Mat& top_blob, const Mat& _kernel, const Option& opt)
{
int w = bottom_blob.w;
int h = bottom_blob.h;
int inch = bottom_blob.c;
int outw = top_blob.w;
int outh = top_blob.h;
int outch = top_blob.c;
const int tailstep = w - 2 * outw + w;
const signed char* kernel = _kernel;
int nn_outch = outch >> 1;
int remain_outch_start = nn_outch << 1;
#pragma omp parallel for num_threads(opt.num_threads)
for (int pp=0; pp < nn_outch; pp++)
{
int p = pp * 2;
Mat out0 = top_blob.channel(p);
Mat out1 = top_blob.channel(p + 1);
out0.fill(0.f);
out1.fill(0.f);
const signed char* kernel0 = (const signed char*)kernel + p * inch * 9;
const signed char* kernel1 = (const signed char*)kernel + (p + 1) * inch * 9;
for (int q=0; q<inch; q++)
{
int* outptr0 = out0;
int* outptr1 = out1;
const signed char* img0 = bottom_blob.channel(q);
const signed char* r0 = img0;
const signed char* r1 = img0 + w;
const signed char* r2 = img0 + w * 2;
const signed char* k00 = kernel0;
const signed char* k01 = kernel0 + 3;
const signed char* k02 = kernel0 + 6;
const signed char* k10 = kernel1;
const signed char* k11 = kernel1 + 3;
const signed char* k12 = kernel1 + 6;
int i = 0;
for (; i < outh; i++)
{
int nn = outw >> 3;
int remain = outw & 7;
asm volatile(
"vld1.s8 {d22-d23}, [%0] \n"
"vld1.s8 {d24-d25}, [%1] \n"
: "=r"(kernel0), // %0
"=r"(kernel1) // %1
: "0"(kernel0),
"1"(kernel1)
: "cc", "memory"
);
if (nn > 0)
{
asm volatile(
"0: \n"
"pld [%3, #192] \n"
"vld2.s8 {d0-d1}, [%3]! \n" // r0
"vld2.s8 {d2-d3}, [%3] \n"
"vext.8 d3, d0, d2, #1 \n"
"vdup.s8 d26, d22[0] \n"
"vdup.s8 d27, d22[1] \n"
"vdup.s8 d28, d22[2] \n"
"vmull.s8 q2, d0, d26 \n" // k00
"vmlal.s8 q2, d1, d27 \n" // k01
"vmlal.s8 q2, d3, d28 \n" // k02
"pld [%4, #192] \n"
"vld2.s8 {d6-d7}, [%4]! \n" // r1
"vld2.s8 {d8-d9}, [%4] \n"
"vext.8 d9, d6, d8, #1 \n"
"vdup.s8 d26, d22[3] \n"
"vdup.s8 d27, d22[4] \n"
"vdup.s8 d28, d22[5] \n"
"vmlal.s8 q2, d6, d26 \n" // k03
"vmlal.s8 q2, d7, d27 \n" // k04
"vmlal.s8 q2, d9, d28 \n" // k05
"pld [%5, #192] \n"
"vld2.s8 {d10-d11}, [%5]! \n" // r2
"vld2.s8 {d12-d13}, [%5] \n"
"vext.8 d13, d10, d12, #1 \n"
"vdup.s8 d26, d22[6] \n"
"vdup.s8 d27, d22[7] \n"
"vdup.s8 d28, d23[0] \n"
"vmlal.s8 q2, d10, d26 \n" // k06
"vmlal.s8 q2, d11, d27 \n" // k07
"vmlal.s8 q2, d13, d28 \n" // k08
"pld [%1, #256] \n"
"vld1.32 {d14-d17}, [%1] \n" //sum0
"vaddw.s16 q7, q7, d4 \n"
"vaddw.s16 q8, q8, d5 \n"
"vst1.32 {d14-d17}, [%1]! \n"
"vdup.s8 d26, d24[0] \n"
"vdup.s8 d27, d24[1] \n"
"vdup.s8 d28, d24[2] \n"
"vmull.s8 q2, d0, d26 \n" // k00
"vmlal.s8 q2, d1, d27 \n" // k01
"vmlal.s8 q2, d3, d28 \n" // k02
"vdup.s8 d26, d24[3] \n"
"vdup.s8 d27, d24[4] \n"
"vdup.s8 d28, d24[5] \n"
"vmlal.s8 q2, d6, d26 \n" // k03
"vmlal.s8 q2, d7, d27 \n" // k04
"vmlal.s8 q2, d9, d28 \n" // k05
"vdup.s8 d26, d24[6] \n"
"vdup.s8 d27, d24[7] \n"
"vdup.s8 d28, d25[0] \n"
"vmlal.s8 q2, d10, d26 \n" // k06
"vmlal.s8 q2, d11, d27 \n" // k07
"vmlal.s8 q2, d13, d28 \n" // k08
"pld [%2, #256] \n"
"vld1.32 {d14-d17}, [%2] \n" //sum1
"vaddw.s16 q7, q7, d4 \n"
"vaddw.s16 q8, q8, d5 \n"
"vst1.32 {d14-d17}, [%2]! \n"
"subs %0, #1 \n"
"bne 0b \n"
: "=r"(nn), // %0
"=r"(outptr0), // %1
"=r"(outptr1), // %2
"=r"(r0), // %3
"=r"(r1), // %4
"=r"(r2) // %5
: "0"(nn),
"1"(outptr0),
"2"(outptr1),
"3"(r0),
"4"(r1),
"5"(r2)
: "cc", "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q13", "q14", "q15"
);
}
if (remain >= 4)
{
remain -= 4;
asm volatile(
"pld [%3, #192] \n"
"vld2.s8 {d0-d1}, [%3]! \n" // r0
"vld2.s8 {d2-d3}, [%3] \n"
"vext.8 d3, d0, d2, #1 \n"
"vdup.s8 d26, d22[0] \n"
"vdup.s8 d27, d22[1] \n"
"vdup.s8 d28, d22[2] \n"
"vmull.s8 q2, d0, d26 \n" // k00
"vmlal.s8 q2, d1, d27 \n" // k01
"vmlal.s8 q2, d3, d28 \n" // k02
"pld [%4, #192] \n"
"vld2.s8 {d6-d7}, [%4]! \n" // r1
"vld2.s8 {d8-d9}, [%4] \n"
"vext.8 d9, d6, d8, #1 \n"
"vdup.s8 d26, d22[3] \n"
"vdup.s8 d27, d22[4] \n"
"vdup.s8 d28, d22[5] \n"
"vmlal.s8 q2, d6, d26 \n" // k03
"vmlal.s8 q2, d7, d27 \n" // k04
"vmlal.s8 q2, d9, d28 \n" // k05
"pld [%5, #192] \n"
"vld2.s8 {d10-d11}, [%5]! \n" // r2
"vld2.s8 {d12-d13}, [%5] \n"
"vext.8 d13, d10, d12, #1 \n"
"sub %3, #8 \n"
"sub %4, #8 \n"
"sub %5, #8 \n"
"vdup.s8 d26, d22[6] \n"
"vdup.s8 d27, d22[7] \n"
"vdup.s8 d28, d23[0] \n"
"vmlal.s8 q2, d10, d26 \n" // k06
"vmlal.s8 q2, d11, d27 \n" // k07
"vmlal.s8 q2, d13, d28 \n" // k08
"pld [%1, #128] \n"
"vld1.32 {d14-d15}, [%1] \n" //sum0
"vaddw.s16 q7, q7, d4 \n"
"vst1.32 {d14-d15}, [%1]! \n"
"vdup.s8 d26, d24[0] \n"
"vdup.s8 d27, d24[1] \n"
"vdup.s8 d28, d24[2] \n"
"vmull.s8 q2, d0, d26 \n" // k00
"vmlal.s8 q2, d1, d27 \n" // k01
"vmlal.s8 q2, d3, d28 \n" // k02
"vdup.s8 d26, d24[3] \n"
"vdup.s8 d27, d24[4] \n"
"vdup.s8 d28, d24[5] \n"
"vmlal.s8 q2, d6, d26 \n" // k03
"vmlal.s8 q2, d7, d27 \n" // k04
"vmlal.s8 q2, d9, d28 \n" // k05
"vdup.s8 d26, d24[6] \n"
"vdup.s8 d27, d24[7] \n"
"vdup.s8 d28, d25[0] \n"
"vmlal.s8 q2, d10, d26 \n" // k06
"vmlal.s8 q2, d11, d27 \n" // k07
"vmlal.s8 q2, d13, d28 \n" // k08
"pld [%2, #128] \n"
"vld1.32 {d14-d15}, [%2] \n" //sum1
"vaddw.s16 q7, q7, d4 \n"
"vst1.32 {d14-d15}, [%2]! \n"
: "=r"(nn), // %0
"=r"(outptr0), // %1
"=r"(outptr1), // %2
"=r"(r0), // %3
"=r"(r1), // %4
"=r"(r2) // %5
: "0"(nn),
"1"(outptr0),
"2"(outptr1),
"3"(r0),
"4"(r1),
"5"(r2)
: "cc", "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q13", "q14", "q15"
);
}
for (; remain>0; remain--)
{
int sum0 = 0;
int sum1 = 0;
sum0 += (int)r0[0] * kernel0[0];
sum0 += (int)r0[1] * kernel0[1];
sum0 += (int)r0[2] * kernel0[2];
sum0 += (int)r1[0] * kernel0[3];
sum0 += (int)r1[1] * kernel0[4];
sum0 += (int)r1[2] * kernel0[5];
sum0 += (int)r2[0] * kernel0[6];
sum0 += (int)r2[1] * kernel0[7];
sum0 += (int)r2[2] * kernel0[8];
sum1 += (int)r0[0] * kernel1[0];
sum1 += (int)r0[1] * kernel1[1];
sum1 += (int)r0[2] * kernel1[2];
sum1 += (int)r1[0] * kernel1[3];
sum1 += (int)r1[1] * kernel1[4];
sum1 += (int)r1[2] * kernel1[5];
sum1 += (int)r2[0] * kernel1[6];
sum1 += (int)r2[1] * kernel1[7];
sum1 += (int)r2[2] * kernel1[8];
*outptr0 += sum0;
*outptr1 += sum1;
r0 += 2;
r1 += 2;
r2 += 2;
outptr0++;
outptr1++;
}
r0 += tailstep;
r1 += tailstep;
r2 += tailstep;
}
kernel0 += 9;
kernel1 += 9;
}
}
#pragma omp parallel for num_threads(opt.num_threads)
for (int p=remain_outch_start; p<outch; p++)
{
Mat out0 = top_blob.channel(p);
out0.fill(0.f);
const signed char* kernel0 = (const signed char*)kernel + p * inch * 9;
for (int q=0; q<inch; q++)
{
int* outptr0 = out0;
const signed char* img0 = bottom_blob.channel(q);
const signed char* r0 = img0;
const signed char* r1 = img0 + w;
const signed char* r2 = img0 + w * 2;
const signed char* k00 = kernel0;
const signed char* k01 = kernel0 + 3;
const signed char* k02 = kernel0 + 6;
int i = 0;
for (; i < outh; i++)
{
int nn = outw >> 3;
int remain = outw & 7;
asm volatile(
"vld1.s8 {d22-d23}, [%0] \n"
: "=r"(kernel0) // %0
: "0"(kernel0)
: "cc", "memory"
);
if (nn > 0)
{
asm volatile(
"0: \n"
"pld [%2, #192] \n"
"vld2.s8 {d0-d1}, [%2]! \n" // r0
"vld2.s8 {d2-d3}, [%2] \n"
"vext.8 d3, d0, d2, #1 \n"
"vdup.s8 d26, d22[0] \n"
"vdup.s8 d27, d22[1] \n"
"vdup.s8 d28, d22[2] \n"
"vmull.s8 q2, d0, d26 \n" // k00
"vmlal.s8 q2, d1, d27 \n" // k01
"vmlal.s8 q2, d3, d28 \n" // k02
"pld [%3, #192] \n"
"vld2.s8 {d6-d7}, [%3]! \n" // r1
"vld2.s8 {d8-d9}, [%3] \n"
"vext.8 d9, d6, d8, #1 \n"
"vdup.s8 d26, d22[3] \n"
"vdup.s8 d27, d22[4] \n"
"vdup.s8 d28, d22[5] \n"
"vmlal.s8 q2, d6, d26 \n" // k03
"vmlal.s8 q2, d7, d27 \n" // k04
"vmlal.s8 q2, d9, d28 \n" // k05
"pld [%4, #192] \n"
"vld2.s8 {d10-d11}, [%4]! \n" // r2
"vld2.s8 {d12-d13}, [%4] \n"
"vext.8 d13, d10, d12, #1 \n"
"vdup.s8 d26, d22[6] \n"
"vdup.s8 d27, d22[7] \n"
"vdup.s8 d28, d23[0] \n"
"vmlal.s8 q2, d10, d26 \n" // k06
"vmlal.s8 q2, d11, d27 \n" // k07
"vmlal.s8 q2, d13, d28 \n" // k08
"pld [%1, #256] \n"
"vld1.32 {d14-d17}, [%1] \n" //sum0
"vaddw.s16 q7, q7, d4 \n"
"vaddw.s16 q8, q8, d5 \n"
"vst1.32 {d14-d17}, [%1]! \n"
"subs %0, #1 \n"
"bne 0b \n"
: "=r"(nn), // %0
"=r"(outptr0), // %1
"=r"(r0), // %2
"=r"(r1), // %3
"=r"(r2) // %4
: "0"(nn),
"1"(outptr0),
"2"(r0),
"3"(r1),
"4"(r2)
: "cc", "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q12", "q13", "q14"
);
}
if (remain >= 4)
{
remain -= 4;
asm volatile(
"pld [%2, #192] \n"
"vld2.s8 {d0-d1}, [%2]! \n" // r0
"vld2.s8 {d2-d3}, [%2] \n"
"vext.8 d3, d0, d2, #1 \n"
"vdup.s8 d26, d22[0] \n"
"vdup.s8 d27, d22[1] \n"
"vdup.s8 d28, d22[2] \n"
"vmull.s8 q2, d0, d26 \n" // k00
"vmlal.s8 q2, d1, d27 \n" // k01
"vmlal.s8 q2, d3, d28 \n" // k02
"pld [%3, #192] \n"
"vld2.s8 {d6-d7}, [%3]! \n" // r1
"vld2.s8 {d8-d9}, [%3] \n"
"vext.8 d9, d6, d8, #1 \n"
"vdup.s8 d26, d22[3] \n"
"vdup.s8 d27, d22[4] \n"
"vdup.s8 d28, d22[5] \n"
"vmlal.s8 q2, d6, d26 \n" // k03
"vmlal.s8 q2, d7, d27 \n" // k04
"vmlal.s8 q2, d9, d28 \n" // k05
"pld [%4, #192] \n"
"vld2.s8 {d10-d11}, [%4]! \n" // r2
"vld2.s8 {d12-d13}, [%4] \n"
"vext.8 d13, d10, d12, #1 \n"
"sub %2, #8 \n"
"sub %3, #8 \n"
"sub %4, #8 \n"
"vdup.s8 d26, d22[6] \n"
"vdup.s8 d27, d22[7] \n"
"vdup.s8 d28, d23[0] \n"
"vmlal.s8 q2, d10, d26 \n" // k06
"vmlal.s8 q2, d11, d27 \n" // k07
"vmlal.s8 q2, d13, d28 \n" // k08
"pld [%1, #128] \n"
"vld1.32 {d14-d15}, [%1] \n" //sum0
"vaddw.s16 q7, q7, d4 \n"
"vst1.32 {d14-d15}, [%1]! \n"
: "=r"(nn), // %0
"=r"(outptr0), // %1
"=r"(r0), // %2
"=r"(r1), // %3
"=r"(r2) // %4
: "0"(nn),
"1"(outptr0),
"2"(r0),
"3"(r1),
"4"(r2)
: "cc", "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q12", "q13", "q14"
);
}
for (; remain>0; remain--)
{
int sum0 = 0;
sum0 += (int)r0[0] * kernel0[0];
sum0 += (int)r0[1] * kernel0[1];
sum0 += (int)r0[2] * kernel0[2];
sum0 += (int)r1[0] * kernel0[3];
sum0 += (int)r1[1] * kernel0[4];
sum0 += (int)r1[2] * kernel0[5];
sum0 += (int)r2[0] * kernel0[6];
sum0 += (int)r2[1] * kernel0[7];
sum0 += (int)r2[2] * kernel0[8];
*outptr0 += sum0;
r0 += 2;
r1 += 2;
r2 += 2;
outptr0++;
}
r0 += tailstep;
r1 += tailstep;
r2 += tailstep;
}
kernel0 += 9;
}
}
}
static void conv3x3s1_int8_neon(const Mat& bottom_blob, Mat& top_blob, const Mat& _kernel, const Option& opt)
{
int outw = top_blob.w;
int remain = outw & 7;
typedef void (*conv_func_int8)(const Mat&, Mat&, const Mat&, const Option&);
conv_func_int8 conv_func_table[8] =
{
conv3x3s1_neon_s8, //0
conv3x3s1_neon_s8, //1
conv3x3s1_neon_s8, //2
conv3x3s1_neon_s8, //3
conv3x3s1_neon_s8_left4, //4
conv3x3s1_neon_s8, //5
conv3x3s1_neon_s8_left6, //6
conv3x3s1_neon_s8, //7
};
conv_func_int8 conv = conv_func_table[remain];
conv(bottom_blob, top_blob, _kernel, opt);
return;
}
static void conv3x3s1_packed_int8_neon(const Mat &bottom_blob, Mat &top_blob, const Mat &_kernel, const Option& opt)
{
int w = bottom_blob.w;
//int h = bottom_blob.h;
int inch = bottom_blob.c;
int outw = top_blob.w;
int outh = top_blob.h;
int outch = top_blob.c;
int nn_outch = outch >> 2;
int remain_outch_start = nn_outch << 2;
#pragma omp parallel for num_threads(opt.num_threads)
for (int pp=0; pp < nn_outch; pp++)
{
int p = pp * 4;
Mat out0 = top_blob.channel(p+0);
Mat out1 = top_blob.channel(p+1);
Mat out2 = top_blob.channel(p+2);
Mat out3 = top_blob.channel(p+3);
out0.fill(0);
out1.fill(0);
out2.fill(0);
out3.fill(0);
const signed char* ktmp = _kernel.channel(p/4);
for (int q = 0; q < inch; q++)
{
int* outptr0 = out0;
int* outptr1 = out1;
int* outptr2 = out2;
int* outptr3 = out3;
const signed char *img0 = bottom_blob.channel(q);
const signed char *r0 = img0;
const signed char *r1 = img0 + w;
const signed char *r2 = img0 + w * 2;
const signed char *r3 = img0 + w * 3;
int i = 0;
for (; i+1 < outh; i+=2)
{
#if __ARM_NEON
int nn = outw >> 3;
int remain = outw & 7;
#else
int remain = outw;
#endif // __ARM_NEON
#if __ARM_NEON
if (nn > 0)
{
asm volatile(
"0: \n"
// "pld [%9, #256] \n"
"vld1.s8 {d0-d3}, [%9]! \n"// d0=k00 k01 d1=k02 k10 d2=k11 k12 d3=k20 k21
"pld [%5, #128] \n"
"vld1.s8 {d4-d5}, [%5] \n"// d4=r00 d5=r00n
"add %5, #8 \n"
"vdup.s8 d8, d0[0] \n"
"vdup.s8 d9, d0[1] \n"
"pld [%6, #128] \n"
"vld1.s8 {d6-d7}, [%6] \n"// d6=r10 d7=r10n
"add %6, #8 \n"
"vdup.s8 d10, d0[2] \n"
"vdup.s8 d11, d0[3] \n"
"vmull.s8 q8, d4, d8 \n"
"vmull.s8 q9, d4, d9 \n"
"vdup.s8 d12, d0[4] \n"
"vdup.s8 d13, d0[5] \n"
"vmull.s8 q10, d4, d10 \n"
"vmull.s8 q11, d4, d11 \n"
"vdup.s8 d14, d0[6] \n"
"vdup.s8 d15, d0[7] \n"
"vmull.s8 q12, d6, d8 \n"
"vmull.s8 q13, d6, d9 \n"
"vext.s8 q2, q2, q2, #1 \n"// d4=r01
"vmull.s8 q14, d6, d10 \n"
"vmull.s8 q15, d6, d11 \n"
"vext.s8 q3, q3, q3, #1 \n"// d6=r11
"vmlal.s8 q8, d4, d12 \n"
"vmlal.s8 q9, d4, d13 \n"
"vdup.s8 d8, d1[0] \n"
"vdup.s8 d9, d1[1] \n"
"vmlal.s8 q10, d4, d14 \n"
"vmlal.s8 q11, d4, d15 \n"
"vdup.s8 d10, d1[2] \n"
"vdup.s8 d11, d1[3] \n"
"vmlal.s8 q12, d6, d12 \n"
"vmlal.s8 q13, d6, d13 \n"
"vext.s8 q2, q2, q2, #1 \n"// d4=r02
"vmlal.s8 q14, d6, d14 \n"
"vmlal.s8 q15, d6, d15 \n"
"vext.s8 q3, q3, q3, #1 \n"// d6=r12
"vmlal.s8 q8, d4, d8 \n"
"vmlal.s8 q9, d4, d9 \n"
"vdup.s8 d12, d1[4] \n"
"vdup.s8 d13, d1[5] \n"
"vmlal.s8 q10, d4, d10 \n"
"vmlal.s8 q11, d4, d11 \n"
"vdup.s8 d14, d1[6] \n"
"vdup.s8 d15, d1[7] \n"
"vmlal.s8 q12, d6, d8 \n"
"vmlal.s8 q13, d6, d9 \n"
"pld [%7, #128] \n"
"vld1.s8 {d4-d5}, [%7] \n"// d4=r20 d5=r20n
"add %7, #8 \n"
"vmlal.s8 q14, d6, d10 \n"
"vmlal.s8 q15, d6, d11 \n"
///
"vext.s8 q3, q3, q3, #14 \n"// d6=r10
"vmlal.s8 q8, d6, d12 \n"
"vmlal.s8 q9, d6, d13 \n"
"vdup.s8 d8, d2[0] \n"
"vdup.s8 d9, d2[1] \n"
"vmlal.s8 q10, d6, d14 \n"
"vmlal.s8 q11, d6, d15 \n"
"vdup.s8 d10, d2[2] \n"
"vdup.s8 d11, d2[3] \n"
"vmlal.s8 q12, d4, d12 \n"
"vmlal.s8 q13, d4, d13 \n"
"vext.s8 q3, q3, q3, #1 \n"// d6=r11
"vmlal.s8 q14, d4, d14 \n"
"vmlal.s8 q15, d4, d15 \n"
"vext.s8 q2, q2, q2, #1 \n"// d4=r21
"vmlal.s8 q8, d6, d8 \n"
"vmlal.s8 q9, d6, d9 \n"
"vdup.s8 d12, d2[4] \n"
"vdup.s8 d13, d2[5] \n"
"vmlal.s8 q10, d6, d10 \n"
"vmlal.s8 q11, d6, d11 \n"
"vdup.s8 d14, d2[6] \n"
"vdup.s8 d15, d2[7] \n"
"vmlal.s8 q12, d4, d8 \n"
"vmlal.s8 q13, d4, d9 \n"
"vext.s8 q3, q3, q3, #1 \n"// d6=r12
"vmlal.s8 q14, d4, d10 \n"
"vmlal.s8 q15, d4, d11 \n"
"vext.s8 q2, q2, q2, #1 \n"// d4=r22
"vmlal.s8 q8, d6, d12 \n"
"vmlal.s8 q9, d6, d13 \n"
"vdup.s8 d8, d3[0] \n"
"vdup.s8 d9, d3[1] \n"
"vmlal.s8 q10, d6, d14 \n"
"vmlal.s8 q11, d6, d15 \n"
"vdup.s8 d10, d3[2] \n"
"vdup.s8 d11, d3[3] \n"
"vmlal.s8 q12, d4, d12 \n"
"vmlal.s8 q13, d4, d13 \n"
"pld [%8, #128] \n"
"vld1.s8 {d6-d7}, [%8] \n"// d6=r30 d6=r30n
"add %8, #8 \n"
"vmlal.s8 q14, d4, d14 \n"
"vmlal.s8 q15, d4, d15 \n"
///
"vext.s8 q2, q2, q2, #14 \n"// d4=r20
"vmlal.s8 q8, d4, d8 \n"
"vmlal.s8 q9, d4, d9 \n"
"vdup.s8 d12, d3[4] \n"
"vdup.s8 d13, d3[5] \n"
"vmlal.s8 q10, d4, d10 \n"
"vmlal.s8 q11, d4, d11 \n"
"vdup.s8 d14, d3[6] \n"
"vdup.s8 d15, d3[7] \n"
"vmlal.s8 q12, d6, d8 \n"
"vmlal.s8 q13, d6, d9 \n"
"vext.s8 q2, q2, q2, #1 \n"// d4=r21
"vmlal.s8 q14, d6, d10 \n"
"vmlal.s8 q15, d6, d11 \n"
"vext.s8 q3, q3, q3, #1 \n"// d6=r31
// "pld [%9, #128] \n"
"vld1.s8 {d0}, [%9] \n"
"add %9, #4 \n"
"vmlal.s8 q8, d4, d12 \n"
"vmlal.s8 q9, d4, d13 \n"
"vdup.s8 d8, d0[0] \n"
"vdup.s8 d9, d0[1] \n"
"vmlal.s8 q10, d4, d14 \n"
"vmlal.s8 q11, d4, d15 \n"
"vdup.s8 d10, d0[2] \n"
"vdup.s8 d11, d0[3] \n"
"vmlal.s8 q12, d6, d12 \n"
"vmlal.s8 q13, d6, d13 \n"
"vext.s8 q2, q2, q2, #1 \n"// d4=r22
"vmlal.s8 q14, d6, d14 \n"
"vmlal.s8 q15, d6, d15 \n"
"vext.s8 q3, q3, q3, #1 \n"// d6=r32
"vmlal.s8 q8, d4, d8 \n"
"vmlal.s8 q9, d4, d9 \n"
"pld [%1, #256] \n"
"vld1.s32 {d12-d15}, [%1] \n"
"vmlal.s8 q10, d4, d10 \n"
"vmlal.s8 q11, d4, d11 \n"
"pld [%2, #256] \n"
"vld1.s32 {d0-d3}, [%2] \n"
"vaddw.s16 q6, q6, d16 \n"
"vaddw.s16 q7, q7, d17 \n"
"vaddw.s16 q0, q0, d18 \n"
"vaddw.s16 q1, q1, d19 \n"
"pld [%3, #256] \n"
"vld1.s32 {d16-d19}, [%3] \n"
"vmlal.s8 q12, d6, d8 \n"
"vmlal.s8 q13, d6, d9 \n"
"vst1.s32 {d12-d15}, [%1] \n"
"add %1, %1, %20, lsl #2 \n"
"vmlal.s8 q14, d6, d10 \n"
"vmlal.s8 q15, d6, d11 \n"
"pld [%4, #256] \n"
"vld1.s32 {d4-d7}, [%4] \n"
"vst1.s32 {d0-d3}, [%2] \n"
"add %2, %2, %20, lsl #2 \n"
"vaddw.s16 q8, q8, d20 \n"
"vaddw.s16 q9, q9, d21 \n"
"pld [%1, #256] \n"
"vld1.s32 {d12-d15}, [%1] \n"
"vaddw.s16 q2, q2, d22 \n"
"vaddw.s16 q3, q3, d23 \n"
///
"pld [%2, #256] \n"
"vld1.s32 {d0-d3}, [%2] \n"
"vaddw.s16 q6, q6, d24 \n"
"vst1.s32 {d16-d19}, [%3] \n"
"add %3, %3, %20, lsl #2 \n"
"vaddw.s16 q7, q7, d25 \n"
"pld [%3, #256] \n"
"vld1.s32 {d8-d11}, [%3] \n"
"vaddw.s16 q0, q0, d26 \n"
"vst1.s32 {d4-d7}, [%4] \n"
"add %4, %4, %20, lsl #2 \n"
///
"vaddw.s16 q1, q1, d27 \n"
"pld [%4, #256] \n"
"vld1.s32 {d4-d7}, [%4] \n"
"vaddw.s16 q4, q4, d28 \n"
"vst1.s32 {d12-d15}, [%1]! \n"
"vaddw.s16 q5, q5, d29 \n"
"vst1.s32 {d0-d3}, [%2]! \n"
"vaddw.s16 q2, q2, d30 \n"
"vst1.s32 {d8-d11}, [%3]! \n"
"vaddw.s16 q3, q3, d31 \n"
"sub %9, #36 \n"
"subs %0, #1 \n"
"sub %1, %1, %20, lsl #2 \n"
"sub %2, %2, %20, lsl #2 \n"
"sub %3, %3, %20, lsl #2 \n"
"vst1.s32 {d4-d7}, [%4]! \n"
"sub %4, %4, %20, lsl #2 \n"
"bne 0b \n"
: "=r"(nn), // %0
"=r"(outptr0), // %1
"=r"(outptr1), // %2
"=r"(outptr2), // %3
"=r"(outptr3), // %4
"=r"(r0), // %5
"=r"(r1), // %6
"=r"(r2), // %7
"=r"(r3), // %8
"=r"(ktmp) // %9
: "0"(nn),
"1"(outptr0),
"2"(outptr1),
"3"(outptr2),
"4"(outptr3),
"5"(r0),
"6"(r1),
"7"(r2),
"8"(r3),
"9"(ktmp),
"r"(outw) // %20
: "cc", "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15"
);
}
#endif
#if __ARM_NEON
if (remain >= 4)
{
remain -= 4;
asm volatile(
"vld1.s8 {d0}, [%4] \n"// d0 = r00 r00n
"add %4, #4 \n"
"vld1.s8 {d2}, [%5] \n"// d2 = r10 r10n
"add %5, #4 \n"
"vld1.s8 {d1}, [%6] \n"// d1 = r20 r20n
"add %6, #4 \n"
"vld1.s8 {d3}, [%7] \n"// d3 = r30 r30n
"add %7, #4 \n"
"vext.s8 d4, d0, d0, #1 \n"// d4 = r01
"vext.s8 d6, d2, d2, #1 \n"// d6 = r11
"vext.s8 d5, d1, d1, #1 \n"// d5 = r21
"vext.s8 d7, d3, d3, #1 \n"// d7 = r31
"vext.s8 d8, d0, d0, #2 \n"// d8 = r02
"vext.s8 d10, d2, d2, #2 \n"// d10 = r12
"vext.s8 d9, d1, d1, #2 \n"// d9 = r22
"vext.s8 d11, d3, d3, #2 \n"// d11 = r32
"vld1.s8 {d12-d15}, [%8]! \n"// d12=k00 k01 d13=k02 k10 d14=k11 k12 d15=k20 k21
"vsli.64 q0, q1, #32 \n"// d0 = r00 r10 d1 = r20 r30
/// r00 r20 r10
"vdup.s8 d24, d12[0] \n"
"vdup.s8 d25, d12[1] \n"
"vdup.s8 d26, d12[2] \n"
"vdup.s8 d27, d12[3] \n"
"vmull.s8 q8, d0, d24 \n"
"vmull.s8 q9, d0, d25 \n"
"vdup.s8 d28, d15[0] \n"
"vdup.s8 d29, d15[1] \n"
"vmull.s8 q10, d0, d26 \n"
"vmull.s8 q11, d0, d27 \n"
"vdup.s8 d30, d15[2] \n"
"vdup.s8 d31, d15[3] \n"
"vmlal.s8 q8, d1, d28 \n"
"vmlal.s8 q9, d1, d29 \n"
"vext.s8 d0, d0, d1, #4 \n"// d0 = r10 r20
"vdup.s8 d24, d13[4] \n"
"vdup.s8 d25, d13[5] \n"
"vmlal.s8 q10, d1, d30 \n"
"vmlal.s8 q11, d1, d31 \n"
"vdup.s8 d26, d13[6] \n"
"vdup.s8 d27, d13[7] \n"
"vmlal.s8 q8, d0, d24 \n"
"vmlal.s8 q9, d0, d25 \n"
/// r01 r21 r11
"vsli.64 q2, q3, #32 \n"// d4 = r01 r11 d5 = r21 r31
"vdup.s8 d28, d12[4] \n"
"vdup.s8 d29, d12[5] \n"
"vmlal.s8 q10, d0, d26 \n"
"vmlal.s8 q11, d0, d27 \n"
"vdup.s8 d30, d12[6] \n"
"vdup.s8 d31, d12[7] \n"
"vmlal.s8 q8, d4, d28 \n"
"vmlal.s8 q9, d4, d29 \n"
"vdup.s8 d24, d15[4] \n"
"vdup.s8 d25, d15[5] \n"
"vmlal.s8 q10, d4, d30 \n"
"vmlal.s8 q11, d4, d31 \n"
"vdup.s8 d26, d15[6] \n"
"vdup.s8 d27, d15[7] \n"
"vmlal.s8 q8, d5, d24 \n"
"vmlal.s8 q9, d5, d25 \n"
"vext.s8 d4, d4, d5, #4 \n"// d4 = r11 r21
"vdup.s8 d28, d14[0] \n"
"vdup.s8 d29, d14[1] \n"
"vmlal.s8 q10, d5, d26 \n"
"vmlal.s8 q11, d5, d27 \n"
"vdup.s8 d30, d14[2] \n"
"vdup.s8 d31, d14[3] \n"
"vmlal.s8 q8, d4, d28 \n"
"vmlal.s8 q9, d4, d29 \n"
/// r02 r22 r12
"vsli.64 q4, q5, #32 \n"// d8 = r02 r12 d9 = r22 r32
"vld1.s8 {d12}, [%8] \n"// d12=k22
"add %8, #4 \n"
"vdup.s8 d24, d13[0] \n"
"vdup.s8 d25, d13[1] \n"
"vmlal.s8 q10, d4, d30 \n"
"vmlal.s8 q11, d4, d31 \n"
"vdup.s8 d26, d13[2] \n"
"vdup.s8 d27, d13[3] \n"
"vmlal.s8 q8, d8, d24 \n"
"vmlal.s8 q9, d8, d25 \n"
"vdup.s8 d28, d12[0] \n"
"vdup.s8 d29, d12[1] \n"
"vmlal.s8 q10, d8, d26 \n"
"vmlal.s8 q11, d8, d27 \n"
"vdup.s8 d30, d12[2] \n"
"vdup.s8 d31, d12[3] \n"
"vmlal.s8 q8, d9, d28 \n"
"vmlal.s8 q9, d9, d29 \n"
"vext.s8 d8, d8, d9, #4 \n"// d8 = r12 r22
"vdup.s8 d24, d14[4] \n"
"vdup.s8 d25, d14[5] \n"
"vld1.s32 {d0-d1}, [%0] \n"
"vmlal.s8 q10, d9, d30 \n"
"vmlal.s8 q11, d9, d31 \n"
"vdup.s8 d26, d14[6] \n"
"vdup.s8 d27, d14[7] \n"
"vld1.s32 {d2-d3}, [%1] \n"
"vmlal.s8 q8, d8, d24 \n"
"vmlal.s8 q9, d8, d25 \n"
"vld1.s32 {d4-d5}, [%2] \n"
"vmlal.s8 q10, d8, d26 \n"
"vmlal.s8 q11, d8, d27 \n"
"vld1.s32 {d6-d7}, [%3] \n"
"vaddw.s16 q0, q0, d16 \n"
"vaddw.s16 q1, q1, d18 \n"
"vst1.s32 {d0-d1}, [%0] \n"
"add %0, %0, %18, lsl #2 \n"
"vaddw.s16 q2, q2, d20 \n"
"vst1.s32 {d2-d3}, [%1] \n"
"add %1, %1, %18, lsl #2 \n"
"vaddw.s16 q3, q3, d22 \n"
"vld1.s32 {d8-d9}, [%0] \n"
"vld1.s32 {d10-d11}, [%1] \n"
"vst1.s32 {d4-d5}, [%2] \n"
"add %2, %2, %18, lsl #2 \n"
"vst1.s32 {d6-d7}, [%3] \n"
"add %3, %3, %18, lsl #2 \n"
"vld1.s32 {d28-d29}, [%2] \n"
"vld1.s32 {d30-d31}, [%3] \n"
"vaddw.s16 q4, q4, d17 \n"
"vaddw.s16 q5, q5, d19 \n"
"sub %8, #36 \n"
"vst1.s32 {d8-d9}, [%0]! \n"
"vaddw.s16 q14, q14, d21 \n"
"vaddw.s16 q15, q15, d23 \n"
"vst1.s32 {d10-d11}, [%1]! \n"
"sub %0, %0, %18, lsl #2 \n"
"sub %1, %1, %18, lsl #2 \n"
"vst1.s32 {d28-d29}, [%2]! \n"
"vst1.s32 {d30-d31}, [%3]! \n"
"sub %2, %2, %18, lsl #2 \n"
"sub %3, %3, %18, lsl #2 \n"
: "=r"(outptr0), // %0
"=r"(outptr1), // %1
"=r"(outptr2), // %2
"=r"(outptr3), // %3
"=r"(r0), // %4
"=r"(r1), // %5
"=r"(r2), // %6
"=r"(r3), // %7
"=r"(ktmp) // %8
: "0"(outptr0),
"1"(outptr1),
"2"(outptr2),
"3"(outptr3),
"4"(r0),
"5"(r1),
"6"(r2),
"7"(r3),
"8"(ktmp),
"r"(outw) // %18
: "cc", "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15"
);
}
#endif
for (; remain>0; remain--)
{
#if __ARM_NEON
asm volatile(
"vld1.s8 {d0[]}, [%4]! \n"// d0 = 00 00
"vld1.s8 {d1[]}, [%4]! \n"// d1 = 01 01
"vld1.s8 {d2[]}, [%4] \n"// d2 = 02 02
"sub %4, %4, #2 \n"
"vld1.s8 {d3[]}, [%5]! \n"// d3 = 10 10
"vld1.s8 {d4[]}, [%5]! \n"// d4 = 11 11
"vld1.s8 {d5[]}, [%5] \n"// d5 = 12 12
"sub %5, %5, #2 \n"
"vld1.s8 {d6[]}, [%6]! \n"// d6 = 20 20
"vld1.s8 {d7[]}, [%6]! \n"// d7 = 21 21
"vld1.s8 {d8[]}, [%6] \n"// d8 = 22 22
"sub %6, %6, #2 \n"
"vld1.s8 {d9[]}, [%7]! \n"// d9 = 30 30
"vld1.s8 {d10[]}, [%7]! \n"// d10 = 31 31
"vld1.s8 {d11[]}, [%7] \n"// d11 = 32 32
"sub %7, %7, #2 \n"
"vld1.s8 {d12-d15}, [%8]! \n"// d12 d13 d14 d15 = 0~7
"vsli.64 d0, d1, #32 \n"// d0 = 00 01
"vsli.64 d3, d4, #32 \n"// d3 = 10 11
"vmull.s8 q8, d0, d12 \n"
"vsli.64 d2, d3, #32 \n"// d2 = 02 10
"vmull.s8 q9, d3, d12 \n"
"vsli.64 d5, d6, #32 \n"// d5 = 12 20
"vmlal.s8 q8, d2, d13 \n"
"vsli.64 d4, d5, #32 \n"// d4 = 11 12
"vmlal.s8 q9, d5, d13 \n"
"vsli.64 d7, d8, #32 \n"// d7 = 21 22
"vmlal.s8 q8, d4, d14 \n"
"vsli.64 d6, d7, #32 \n"// d6 = 20 21
"vmlal.s8 q9, d7, d14 \n"
"vsli.64 d9, d10, #32 \n"// d9 = 30 31
"vld1.s32 {d20[0]}, [%0] \n"
"vld1.s32 {d20[1]}, [%1] \n"
"add %0, %0, %18, lsl #2 \n"
"add %1, %1, %18, lsl #2 \n"
"vmlal.s8 q8, d6, d15 \n"
"vsli.64 d8, d11, #32 \n"// d8 = 22 32
"vmlal.s8 q9, d9, d15 \n"
"vld1.s8 {d14}, [%8] \n"
"add %8, #4 \n"
"vld1.s32 {d21[0]}, [%2] \n"
"vld1.s32 {d21[1]}, [%3] \n"
"add %2, %2, %18, lsl #2 \n"
"add %3, %3, %18, lsl #2 \n"
"vadd.s16 d12, d16, d17 \n"
"vadd.s16 d13, d18, d19 \n"// q6 = sum0123 sum0123n
"vsli.64 d14, d14, #32 \n"// d14 = 0~3 0~3
"vld1.s32 {d22[0]}, [%0] \n"
"vld1.s32 {d22[1]}, [%1] \n"
"vmlal.s8 q6, d8, d14 \n"
"sub %8, #36 \n"
///
"vld1.s32 {d23[0]}, [%2] \n"
"vld1.s32 {d23[1]}, [%3] \n"
"sub %0, %0, %18, lsl #2 \n"
"sub %1, %1, %18, lsl #2 \n"
// addw
"vaddw.s16 q10, q10, d12 \n"
"vaddw.s16 q11, q11, d13 \n"
"sub %2, %2, %18, lsl #2 \n"
"sub %3, %3, %18, lsl #2 \n"
"vst1.s32 {d20[0]}, [%0] \n"
"vst1.s32 {d20[1]}, [%1] \n"
"add %0, %0, %18, lsl #2 \n"
"add %1, %1, %18, lsl #2 \n"
"vst1.s32 {d21[0]}, [%2] \n"
"vst1.s32 {d21[1]}, [%3] \n"
"add %2, %2, %18, lsl #2 \n"
"add %3, %3, %18, lsl #2 \n"
"vst1.s32 {d22[0]}, [%0]! \n"
"vst1.s32 {d22[1]}, [%1]! \n"
"sub %0, %0, %18, lsl #2 \n"
"sub %1, %1, %18, lsl #2 \n"
"vst1.s32 {d23[0]}, [%2]! \n"
"vst1.s32 {d23[1]}, [%3]! \n"
"sub %2, %2, %18, lsl #2 \n"
"sub %3, %3, %18, lsl #2 \n"
: "=r"(outptr0), // %0
"=r"(outptr1), // %1
"=r"(outptr2), // %2
"=r"(outptr3), // %3
"=r"(r0), // %4
"=r"(r1), // %5
"=r"(r2), // %6
"=r"(r3), // %7
"=r"(ktmp) // %8
: "0"(outptr0),
"1"(outptr1),
"2"(outptr2),
"3"(outptr3),
"4"(r0),
"5"(r1),
"6"(r2),
"7"(r3),
"8"(ktmp),
"r"(outw) // %18
: "cc", "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11"
);
#else
int sum0 = 0;
int sum1 = 0;
int sum2 = 0;
int sum3 = 0;
int sum0n = 0;
int sum1n = 0;
int sum2n = 0;
int sum3n = 0;
sum0 += r0[0] * ktmp[0];
sum1 += r0[0] * ktmp[1];
sum2 += r0[0] * ktmp[2];
sum3 += r0[0] * ktmp[3];
sum0 += r0[1] * ktmp[4];
sum1 += r0[1] * ktmp[5];
sum2 += r0[1] * ktmp[6];
sum3 += r0[1] * ktmp[7];
sum0n += r1[0] * ktmp[0];
sum1n += r1[0] * ktmp[1];
sum2n += r1[0] * ktmp[2];
sum3n += r1[0] * ktmp[3];
sum0n += r1[1] * ktmp[4];
sum1n += r1[1] * ktmp[5];
sum2n += r1[1] * ktmp[6];
sum3n += r1[1] * ktmp[7];
ktmp += 8;
sum0 += r0[2] * ktmp[0];
sum1 += r0[2] * ktmp[1];
sum2 += r0[2] * ktmp[2];
sum3 += r0[2] * ktmp[3];
sum0 += r1[0] * ktmp[4];
sum1 += r1[0] * ktmp[5];
sum2 += r1[0] * ktmp[6];
sum3 += r1[0] * ktmp[7];
sum0n += r1[2] * ktmp[0];
sum1n += r1[2] * ktmp[1];
sum2n += r1[2] * ktmp[2];
sum3n += r1[2] * ktmp[3];
sum0n += r2[0] * ktmp[4];
sum1n += r2[0] * ktmp[5];
sum2n += r2[0] * ktmp[6];
sum3n += r2[0] * ktmp[7];
ktmp += 8;
sum0 += r1[1] * ktmp[0];
sum1 += r1[1] * ktmp[1];
sum2 += r1[1] * ktmp[2];
sum3 += r1[1] * ktmp[3];
sum0 += r1[2] * ktmp[4];
sum1 += r1[2] * ktmp[5];
sum2 += r1[2] * ktmp[6];
sum3 += r1[2] * ktmp[7];
sum0n += r2[1] * ktmp[0];
sum1n += r2[1] * ktmp[1];
sum2n += r2[1] * ktmp[2];
sum3n += r2[1] * ktmp[3];
sum0n += r2[2] * ktmp[4];
sum1n += r2[2] * ktmp[5];
sum2n += r2[2] * ktmp[6];
sum3n += r2[2] * ktmp[7];
ktmp += 8;
///
sum0 += r2[0] * ktmp[0];
sum1 += r2[0] * ktmp[1];
sum2 += r2[0] * ktmp[2];
sum3 += r2[0] * ktmp[3];
sum0 += r2[1] * ktmp[4];
sum1 += r2[1] * ktmp[5];
sum2 += r2[1] * ktmp[6];
sum3 += r2[1] * ktmp[7];
sum0n += r3[0] * ktmp[0];
sum1n += r3[0] * ktmp[1];
sum2n += r3[0] * ktmp[2];
sum3n += r3[0] * ktmp[3];
sum0n += r3[1] * ktmp[4];
sum1n += r3[1] * ktmp[5];
sum2n += r3[1] * ktmp[6];
sum3n += r3[1] * ktmp[7];
ktmp += 8;
sum0 += r2[2] * ktmp[0];
sum1 += r2[2] * ktmp[1];
sum2 += r2[2] * ktmp[2];
sum3 += r2[2] * ktmp[3];
sum0n += r3[2] * ktmp[0];
sum1n += r3[2] * ktmp[1];
sum2n += r3[2] * ktmp[2];
sum3n += r3[2] * ktmp[3];
ktmp += 4;
*outptr0 += sum0;
*outptr1 += sum1;
*outptr2 += sum2;
*outptr3 += sum3;
*(outptr0 + outw) += sum0n;
*(outptr1 + outw) += sum1n;
*(outptr2 + outw) += sum2n;
*(outptr3 + outw) += sum3n;
ktmp -= 12*3;
outptr0++;
outptr1++;
outptr2++;
outptr3++;
#endif
r0++;
r1++;
r2++;
r3++;
}
r0 += 2 + w;
r1 += 2 + w;
r2 += 2 + w;
r3 += 2 + w;
outptr0 += outw;
outptr1 += outw;
outptr2 += outw;
outptr3 += outw;
}
for (; i < outh; i++)
{
#if __ARM_NEON
int nn = outw >> 3;
int remain = outw & 7;
#else
int remain = outw;
#endif // __ARM_NEON
#if __ARM_NEON
if (nn > 0)
{
asm volatile(
"0: \n"
// "pld [%8, #256] \n"
"vld1.s8 {d0-d3}, [%8]! \n"// d0=k00 k01 d1=k02 k10 d2=k11 k12 d3=k20 k21
"pld [%5, #128] \n"
"vld1.s8 {d4-d5}, [%5] \n"// d4=r00 d5=r00n
"add %5, #8 \n"
"vdup.s8 d8, d0[0] \n"
"vdup.s8 d9, d0[1] \n"
"vdup.s8 d10, d0[2] \n"
"vdup.s8 d11, d0[3] \n"
"vmull.s8 q8, d4, d8 \n"
"vmull.s8 q9, d4, d9 \n"
"vext.s8 d24, d4, d5, #1 \n"// d24=r01
"vdup.s8 d12, d0[4] \n"
"vdup.s8 d13, d0[5] \n"
"vmull.s8 q10, d4, d10 \n"
"vmull.s8 q11, d4, d11 \n"
"vdup.s8 d14, d0[6] \n"
"vdup.s8 d15, d0[7] \n"
"vmlal.s8 q8, d24, d12 \n"
"vmlal.s8 q9, d24, d13 \n"
"vext.s8 d25, d4, d5, #2 \n"// d25=r02
"vdup.s8 d8, d1[0] \n"
"vdup.s8 d9, d1[1] \n"
"vmlal.s8 q10, d24, d14 \n"
"vmlal.s8 q11, d24, d15 \n"
"vdup.s8 d10, d1[2] \n"
"vdup.s8 d11, d1[3] \n"
"vmlal.s8 q8, d25, d8 \n"
"vmlal.s8 q9, d25, d9 \n"
"pld [%6, #128] \n"
"vld1.s8 {d6-d7}, [%6] \n"// d6=r10 d7=r10n
"add %6, #8 \n"
"vdup.s8 d12, d1[4] \n"
"vdup.s8 d13, d1[5] \n"
"vmlal.s8 q10, d25, d10 \n"
"vmlal.s8 q11, d25, d11 \n"
"vdup.s8 d14, d1[6] \n"
"vdup.s8 d15, d1[7] \n"
"vmlal.s8 q8, d6, d12 \n"
"vmlal.s8 q9, d6, d13 \n"
"vext.s8 d26, d6, d7, #1 \n"// d26=r11
"vdup.s8 d8, d2[0] \n"
"vdup.s8 d9, d2[1] \n"
"vmlal.s8 q10, d6, d14 \n"
"vmlal.s8 q11, d6, d15 \n"
"vdup.s8 d10, d2[2] \n"
"vdup.s8 d11, d2[3] \n"
"vmlal.s8 q8, d26, d8 \n"
"vmlal.s8 q9, d26, d9 \n"
"vext.s8 d27, d6, d7, #2 \n"// d27=r12
"vdup.s8 d12, d2[4] \n"
"vdup.s8 d13, d2[5] \n"
"vmlal.s8 q10, d26, d10 \n"
"vmlal.s8 q11, d26, d11 \n"
"vdup.s8 d14, d2[6] \n"
"vdup.s8 d15, d2[7] \n"
"vmlal.s8 q8, d27, d12 \n"
"vmlal.s8 q9, d27, d13 \n"
"pld [%7, #128] \n"
"vld1.s8 {d4-d5}, [%7] \n"// d4=r20 d5=r20n
"add %7, #8 \n"
"vdup.s8 d8, d3[0] \n"
"vdup.s8 d9, d3[1] \n"
"vmlal.s8 q10, d27, d14 \n"
"vmlal.s8 q11, d27, d15 \n"
"vdup.s8 d10, d3[2] \n"
"vdup.s8 d11, d3[3] \n"
"vmlal.s8 q8, d4, d8 \n"
"vmlal.s8 q9, d4, d9 \n"
"vext.s8 d24, d4, d5, #1 \n"// d24=r21
"vdup.s8 d12, d3[4] \n"
"vdup.s8 d13, d3[5] \n"
"vmlal.s8 q10, d4, d10 \n"
"vmlal.s8 q11, d4, d11 \n"
"vdup.s8 d14, d3[6] \n"
"vdup.s8 d15, d3[7] \n"
"vmlal.s8 q8, d24, d12 \n"
"vmlal.s8 q9, d24, d13 \n"
// "pld [%8, #128] \n"
"vld1.s8 {d0}, [%8] \n"
"add %8, #4 \n"
"vext.s8 d25, d4, d5, #2 \n"// d25=r22
"vdup.s8 d8, d0[0] \n"
"vdup.s8 d9, d0[1] \n"
"vmlal.s8 q10, d24, d14 \n"
"vmlal.s8 q11, d24, d15 \n"
"vdup.s8 d10, d0[2] \n"
"vdup.s8 d11, d0[3] \n"
"pld [%1, #256] \n"
"vld1.s32 {d12-d15}, [%1] \n"
"vmlal.s8 q8, d25, d8 \n"
"vmlal.s8 q9, d25, d9 \n"
"pld [%2, #256] \n"
"vld1.s32 {d0-d3}, [%2] \n"
"vaddw.s16 q6, q6, d16 \n"
"vaddw.s16 q7, q7, d17 \n"
"vmlal.s8 q10, d25, d10 \n"
"vmlal.s8 q11, d25, d11 \n"
"vaddw.s16 q0, q0, d18 \n"
"vaddw.s16 q1, q1, d19 \n"
"pld [%3, #256] \n"
"vld1.s32 {d16-d19}, [%3] \n"
"vst1.s32 {d12-d15}, [%1]! \n"
"pld [%4, #256] \n"
"vld1.s32 {d4-d7}, [%4] \n"
"vst1.s32 {d0-d3}, [%2]! \n"
"vaddw.s16 q8, q8, d20 \n"
"vaddw.s16 q9, q9, d21 \n"
"vaddw.s16 q2, q2, d22 \n"
"vaddw.s16 q3, q3, d23 \n"
"sub %8, #36 \n"
"vst1.s32 {d16-d19}, [%3]! \n"
"subs %0, #1 \n"
"vst1.s32 {d4-d7}, [%4]! \n"
"bne 0b \n"
: "=r"(nn),
"=r"(outptr0),
"=r"(outptr1),
"=r"(outptr2),
"=r"(outptr3),
"=r"(r0),
"=r"(r1),
"=r"(r2),
"=r"(ktmp)
: "0"(nn),
"1"(outptr0),
"2"(outptr1),
"3"(outptr2),
"4"(outptr3),
"5"(r0),
"6"(r1),
"7"(r2),
"8"(ktmp)
: "cc", "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11", "q12", "q13"
);
}
#endif
#if __ARM_NEON
if (remain >= 4)
{
remain -= 4;
asm volatile(
"vld1.s8 {d0}, [%4] \n"// d0 = r00 r00n
"add %4, #4 \n"
"vld1.s8 {d3}, [%5] \n"// d3 = r10 r10n
"add %5, #4 \n"
"vld1.s8 {d6}, [%6] \n"// d6 = r20 r20n
"add %6, #4 \n"
"vld1.s8 {d12-d15}, [%7]! \n"// d12=k00 k01 d13=k02 k10 d14=k11 k12 d15=k20 k21
/// r00 r01 r02
"vext.s8 d1, d0, d0, #1 \n"
"vext.s8 d2, d0, d0, #2 \n"
"vdup.s8 d24, d12[0] \n"
"vdup.s8 d26, d12[1] \n"
"vdup.s8 d25, d12[2] \n"
"vdup.s8 d27, d12[3] \n"
"vsli.64 d0, d0, #32 \n"// d0 = r00 r00
"vsli.64 d1, d1, #32 \n"// d1 = r01 r01
"vsli.64 d2, d2, #32 \n"// d2 = r02 r02
"vsli.64 q12, q13, #32 \n"
"vdup.s8 d28, d12[4] \n"
"vdup.s8 d30, d12[5] \n"
"vdup.s8 d29, d12[6] \n"
"vdup.s8 d31, d12[7] \n"
"vsli.64 q14, q15, #32 \n"
"vmull.s8 q8, d0, d24 \n"
"vmull.s8 q9, d0, d25 \n"
"vdup.s8 d24, d13[0] \n"
"vdup.s8 d26, d13[1] \n"
"vdup.s8 d25, d13[2] \n"
"vdup.s8 d27, d13[3] \n"
"vsli.64 q12, q13, #32 \n"
"vmlal.s8 q8, d1, d28 \n"
"vmlal.s8 q9, d1, d29 \n"
/// r10 r11 r12
"vext.s8 d4, d3, d3, #1 \n"
"vext.s8 d5, d3, d3, #2 \n"
"vdup.s8 d28, d13[4] \n"
"vdup.s8 d30, d13[5] \n"
"vdup.s8 d29, d13[6] \n"
"vdup.s8 d31, d13[7] \n"
"vsli.64 d3, d3, #32 \n"// d3 = r10 r10
"vsli.64 d4, d4, #32 \n"// d4 = r11 r11
"vsli.64 d5, d5, #32 \n"// d5 = r12 r12
"vsli.64 q14, q15, #32 \n"
"vmlal.s8 q8, d2, d24 \n"
"vmlal.s8 q9, d2, d25 \n"
"vdup.s8 d24, d14[0] \n"
"vdup.s8 d26, d14[1] \n"
"vdup.s8 d25, d14[2] \n"
"vdup.s8 d27, d14[3] \n"
"vsli.64 q12, q13, #32 \n"
"vmlal.s8 q8, d3, d28 \n"
"vmlal.s8 q9, d3, d29 \n"
"vdup.s8 d28, d14[4] \n"
"vdup.s8 d30, d14[5] \n"
"vdup.s8 d29, d14[6] \n"
"vdup.s8 d31, d14[7] \n"
"vsli.64 q14, q15, #32 \n"
"vmlal.s8 q8, d4, d24 \n"
"vmlal.s8 q9, d4, d25 \n"
/// r20 r21 r22
"vext.s8 d7, d6, d6, #1 \n"
"vext.s8 d8, d6, d6, #2 \n"
"vdup.s8 d24, d15[0] \n"
"vdup.s8 d26, d15[1] \n"
"vdup.s8 d25, d15[2] \n"
"vdup.s8 d27, d15[3] \n"
"vsli.64 d6, d6, #32 \n"// d6 = r20 r20
"vsli.64 d7, d7, #32 \n"// d7 = r21 r21
"vsli.64 d8, d8, #32 \n"// d8 = r22 r22
"vsli.64 q12, q13, #32 \n"
"vmlal.s8 q8, d5, d28 \n"
"vmlal.s8 q9, d5, d29 \n"
"vdup.s8 d28, d15[4] \n"
"vdup.s8 d30, d15[5] \n"
"vdup.s8 d29, d15[6] \n"
"vdup.s8 d31, d15[7] \n"
"vsli.64 q14, q15, #32 \n"
"vld1.s8 {d12}, [%7] \n"// d12=k22
"add %7, #4 \n"
"vmlal.s8 q8, d6, d24 \n"
"vmlal.s8 q9, d6, d25 \n"
"vdup.s8 d24, d12[0] \n"
"vdup.s8 d26, d12[1] \n"
"vdup.s8 d25, d12[2] \n"
"vdup.s8 d27, d12[3] \n"
"vsli.64 q12, q13, #32 \n"
"vmlal.s8 q8, d7, d28 \n"
"vmlal.s8 q9, d7, d29 \n"
"vld1.s32 {d0-d1}, [%0] \n"
"vld1.s32 {d2-d3}, [%1] \n"
"vmlal.s8 q8, d8, d24 \n"
"vmlal.s8 q9, d8, d25 \n"
///
"vld1.s32 {d4-d5}, [%2] \n"
"vld1.s32 {d6-d7}, [%3] \n"
"vaddw.s16 q0, q0, d16 \n"
"vaddw.s16 q1, q1, d17 \n"
"vaddw.s16 q2, q2, d18 \n"
"vaddw.s16 q3, q3, d19 \n"
"vst1.s32 {d0-d1}, [%0]! \n"
"vst1.s32 {d2-d3}, [%1]! \n"
"sub %7, #36 \n"
"vst1.s32 {d4-d5}, [%2]! \n"
"vst1.s32 {d6-d7}, [%3]! \n"
: "=r"(outptr0), // %0
"=r"(outptr1), // %1
"=r"(outptr2), // %2
"=r"(outptr3), // %3
"=r"(r0), // %4
"=r"(r1), // %5
"=r"(r2), // %6
"=r"(ktmp) // %7
: "0"(outptr0),
"1"(outptr1),
"2"(outptr2),
"3"(outptr3),
"4"(r0),
"5"(r1),
"6"(r2),
"7"(ktmp)
: "cc", "memory", "q0", "q1", "q2", "q3", "q4", "q6", "q7", "q8", "q9", "q12", "q13", "q14", "q15"
);
}
#endif
for (; remain>0; remain--)
{
#if __ARM_NEON
asm volatile(
"vld1.s8 {d0[]}, [%4]! \n"
"vld1.s8 {d1[]}, [%4]! \n"
"vld1.s8 {d4-d7}, [%7]! \n"// d4 d5 d6 d7 = 0~7
"vsli.64 d0, d1, #32 \n"// d0 = 00 01
"vld1.s8 {d2[]}, [%4] \n"
"sub %4, %4, #2 \n"
"vld1.s8 {d3[]}, [%5]! \n"
"vsli.64 d2, d3, #32 \n"// d2 = 02 10
"vmull.s8 q8, d0, d4 \n"
"vld1.s8 {d0[]}, [%5]! \n"
"vld1.s8 {d1[]}, [%5] \n"
"sub %5, %5, #2 \n"
"vsli.64 d0, d1, #32 \n"// d0 = 11 12
"vmlal.s8 q8, d2, d5 \n"
"vld1.s8 {d2[]}, [%6]! \n"
"vld1.s8 {d3[]}, [%6]! \n"
"vsli.64 d2, d3, #32 \n"// d2 = 20 21
"vmlal.s8 q8, d0, d6 \n"
"vld1.s8 {d0[]}, [%6] \n"
"sub %6, %6, #2 \n"
"veor d1, d1, d1 \n"
"vld1.s8 {d4}, [%7] \n"// d4 = 0~4 xxxx
"sub %7, #32 \n"
"vsli.64 d0, d1, #32 \n"// d0 = 22 zero
"vmlal.s8 q8, d2, d7 \n"
"vld1.s32 {d20[0]}, [%0] \n"
"vmlal.s8 q8, d0, d4 \n"
"vld1.s32 {d20[1]}, [%1] \n"
"vadd.s16 d16, d16, d17 \n"
"vld1.s32 {d21[0]}, [%2] \n"
"vld1.s32 {d21[1]}, [%3] \n"
"vaddw.s16 q10, q10, d16 \n"
"vst1.s32 {d20[0]}, [%0]! \n"
"vst1.s32 {d20[1]}, [%1]! \n"
"vst1.s32 {d21[0]}, [%2]! \n"
"vst1.s32 {d21[1]}, [%3]! \n"
: "=r"(outptr0), // %0
"=r"(outptr1), // %1
"=r"(outptr2), // %2
"=r"(outptr3), // %3
"=r"(r0), // %4
"=r"(r1), // %5
"=r"(r2), // %6
"=r"(ktmp) // %7
: "0"(outptr0),
"1"(outptr1),
"2"(outptr2),
"3"(outptr3),
"4"(r0),
"5"(r1),
"6"(r2),
"7"(ktmp)
: "cc", "memory", "q0", "q1", "q2", "q3", "q8", "q10"
);
#else
int sum0 = 0;
int sum1 = 0;
int sum2 = 0;
int sum3 = 0;
sum0 += r0[0] * ktmp[0];
sum1 += r0[0] * ktmp[1];
sum2 += r0[0] * ktmp[2];
sum3 += r0[0] * ktmp[3];
sum0 += r0[1] * ktmp[4];
sum1 += r0[1] * ktmp[5];
sum2 += r0[1] * ktmp[6];
sum3 += r0[1] * ktmp[7];
ktmp += 8;
sum0 += r0[2] * ktmp[0];
sum1 += r0[2] * ktmp[1];
sum2 += r0[2] * ktmp[2];
sum3 += r0[2] * ktmp[3];
sum0 += r1[0] * ktmp[4];
sum1 += r1[0] * ktmp[5];
sum2 += r1[0] * ktmp[6];
sum3 += r1[0] * ktmp[7];
ktmp += 8;
sum0 += r1[1] * ktmp[0];
sum1 += r1[1] * ktmp[1];
sum2 += r1[1] * ktmp[2];
sum3 += r1[1] * ktmp[3];
sum0 += r1[2] * ktmp[4];
sum1 += r1[2] * ktmp[5];
sum2 += r1[2] * ktmp[6];
sum3 += r1[2] * ktmp[7];
ktmp += 8;
sum0 += r2[0] * ktmp[0];
sum1 += r2[0] * ktmp[1];
sum2 += r2[0] * ktmp[2];
sum3 += r2[0] * ktmp[3];
sum0 += r2[1] * ktmp[4];
sum1 += r2[1] * ktmp[5];
sum2 += r2[1] * ktmp[6];
sum3 += r2[1] * ktmp[7];
ktmp += 8;
sum0 += r2[2] * ktmp[0];
sum1 += r2[2] * ktmp[1];
sum2 += r2[2] * ktmp[2];
sum3 += r2[2] * ktmp[3];
ktmp += 8;
*outptr0 += sum0;
*outptr1 += sum1;
*outptr2 += sum2;
*outptr3 += sum3;
ktmp -= 8*5;
outptr0++;
outptr1++;
outptr2++;
outptr3++;
#endif
r0++;
r1++;
r2++;
}
r0 += 2;
r1 += 2;
r2 += 2;
}
ktmp += 4*9;
}
}
#pragma omp parallel for num_threads(opt.num_threads)
for (int p=remain_outch_start; p<outch; p++)
{
Mat out0 = top_blob.channel(p);
out0.fill(0);
const signed char* ktmp = _kernel.channel(p/4 + p%4);
for (int q=0; q<inch; q++)
{
int* outptr0 = out0;
int* outptr0n = outptr0 + outw;
const signed char* img0 = bottom_blob.channel(q);
const signed char* r0 = img0;
const signed char* r1 = img0 + w;
const signed char* r2 = img0 + w * 2;
const signed char* r3 = img0 + w * 3;
int8x8_t _k00 = vdup_n_s8(ktmp[0]);
int8x8_t _k01 = vdup_n_s8(ktmp[1]);
int8x8_t _k02 = vdup_n_s8(ktmp[2]);
int8x8_t _k10 = vdup_n_s8(ktmp[3]);
int8x8_t _k11 = vdup_n_s8(ktmp[4]);
int8x8_t _k12 = vdup_n_s8(ktmp[5]);
int8x8_t _k20 = vdup_n_s8(ktmp[6]);
int8x8_t _k21 = vdup_n_s8(ktmp[7]);
int8x8_t _k22 = vdup_n_s8(ktmp[8]);
int i = 0;
for (; i+1 < outh; i+=2)
{
#if __ARM_NEON
int nn = outw >> 3;
int remain = outw & 7;
#else
int remain = outw;
#endif // __ARM_NEON
#if __ARM_NEON
if (nn > 0)
{
asm volatile(
"0: \n"
"pld [%3, #128] \n"
"vld1.s8 {d4-d5}, [%3] \n"// d4=r00 d5=r00n
"add %3, #8 \n"
"pld [%6, #128] \n"
"vld1.s8 {d6-d7}, [%6] \n"// d6=r30 d7=r30n
"add %6, #8 \n"
"vext.s8 d8, d4, d5, #1 \n"// d8=r01
"vext.s8 d10, d6, d7, #1 \n"// d10=r31
"vmull.s8 q8, d4, %P14 \n"
"vmull.s8 q9, d6, %P20 \n"
"vext.s8 d9, d4, d5, #2 \n"// d9=r02
"vext.s8 d11, d6, d7, #2 \n"// d11=r32
"vmlal.s8 q8, d8, %P15 \n"
"vmlal.s8 q9, d10, %P21 \n"
"pld [%4, #128] \n"
"vld1.s8 {d4-d5}, [%4] \n"// d4=r10 d5=r10n
"add %4, #8 \n"
"vmlal.s8 q8, d9, %P16 \n"
"vmlal.s8 q9, d11, %P22 \n"
"vext.s8 d8, d4, d5, #1 \n"// d8=r11
"vmlal.s8 q8, d4, %P17 \n"
"vmlal.s8 q9, d4, %P14 \n"
"vext.s8 d9, d4, d5, #2 \n"// d9=r12
"vmlal.s8 q8, d8, %P18 \n"
"vmlal.s8 q9, d8, %P15 \n"
"pld [%5, #128] \n"
"vld1.s8 {d6-d7}, [%5] \n"// d6=r20 d7=r20n
"add %5, #8 \n"
"vmlal.s8 q8, d9, %P19 \n"
"vmlal.s8 q9, d9, %P16 \n"
"vext.s8 d10, d6, d7, #1 \n"// d10=r21
"vmlal.s8 q8, d6, %P20 \n"
"vmlal.s8 q9, d6, %P17 \n"
"vext.s8 d11, d6, d7, #2 \n"// d11=r22
"vmlal.s8 q8, d10, %P21 \n"
"vmlal.s8 q9, d10, %P18 \n"
"pld [%1, #256] \n"
"vld1.s32 {d0-d3}, [%1] \n"
"vmlal.s8 q8, d11, %P22 \n"
"vmlal.s8 q9, d11, %P19 \n"
"pld [%2, #256] \n"
"vld1.s32 {d12-d15}, [%2] \n"
"vaddw.s16 q0, q0, d16 \n"
"vaddw.s16 q1, q1, d17 \n"
"vaddw.s16 q6, q6, d18 \n"
"vaddw.s16 q7, q7, d19 \n"
"vst1.s32 {d0-d3}, [%1]! \n"
"subs %0, #1 \n"
"vst1.s32 {d12-d15}, [%2]! \n"
"bne 0b \n"
: "=r"(nn), // %0
"=r"(outptr0), // %1
"=r"(outptr0n), // %2
"=r"(r0), // %3
"=r"(r1), // %4
"=r"(r2), // %5
"=r"(r3) // %6
: "0"(nn),
"1"(outptr0),
"2"(outptr0n),
"3"(r0),
"4"(r1),
"5"(r2),
"6"(r3),
"w"(_k00), // %14
"w"(_k01), // %15
"w"(_k02), // %16
"w"(_k10), // %17
"w"(_k11), // %18
"w"(_k12), // %19
"w"(_k20), // %20
"w"(_k21), // %21
"w"(_k22) // %22
: "cc", "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9"
);
}
#endif
#if __ARM_NEON
if (remain >= 4)
{
remain -= 4;
asm volatile(
"vld1.s8 {d12}, [%6]! \n"// d12=0~7
/// r00 r01 r02
"vld1.s8 {d0}, [%2] \n"// d0 = r00 r00n
"add %2, #4 \n"
"vdup.s8 d24, d12[0] \n"
"vext.s8 d1, d0, d0, #1 \n"
"vext.s8 d2, d0, d0, #2 \n"
/// r10 r11 r12
"vld1.s8 {d3}, [%3] \n"// d3 = r10 r10n
"add %3, #4 \n"
"vdup.s8 d25, d12[1] \n"
"vext.s8 d4, d3, d3, #1 \n"
"vext.s8 d5, d3, d3, #2 \n"
"vdup.s8 d26, d12[2] \n"
"vsli.64 d0, d3, #32 \n"// d0 = r00 r10
"vsli.64 d1, d4, #32 \n"// d1 = r01 r11
"vsli.64 d2, d5, #32 \n"// d2 = r02 r12
"vmull.s8 q8, d0, d24 \n"
"vmull.s8 q9, d1, d25 \n"
/// r20 r21 r22
"vld1.s8 {d6}, [%4] \n"// d6 = r20 r20n
"add %4, #4 \n"
"vdup.s8 d27, d12[3] \n"
"vdup.s8 d28, d12[4] \n"
"vext.s8 d7, d6, d6, #1 \n"
"vext.s8 d8, d6, d6, #2 \n"
"vsli.64 d3, d6, #32 \n"// d3 = r10 r20
"vdup.s8 d29, d12[5] \n"
"vmlal.s8 q8, d2, d26 \n"
"vmlal.s8 q9, d3, d27 \n"
"vsli.64 d4, d7, #32 \n"// d4 = r11 r21
"vsli.64 d5, d8, #32 \n"// d5 = r12 r22
/// r30 r31 r32
"vld1.s8 {d9}, [%5] \n"// d9 = r30 r30n
"add %5, #4 \n"
"vdup.s8 d30, d12[6] \n"
"vdup.s8 d31, d12[7] \n"
"vmlal.s8 q8, d4, d28 \n"
"vmlal.s8 q9, d5, d29 \n"
"vext.s8 d10, d9, d9, #1 \n"
"vext.s8 d11, d9, d9, #2 \n"
"vsli.64 d6, d9, #32 \n"// d6 = r20 r30
"vsli.64 d7, d10, #32 \n"// d7 = r21 r31
"vmlal.s8 q8, d6, d30 \n"
"vmlal.s8 q9, d7, d31 \n"
"vld1.s8 {d13[]}, [%6]! \n"
"vsli.64 d8, d11, #32 \n"// d8 = r22 r32
"vmlal.s8 q8, d8, d13 \n"
///
"vld1.s32 {d0-d1}, [%0] \n"
"vadd.s16 q8, q8, q9 \n"
"vld1.s32 {d2-d3}, [%1] \n"
"vaddw.s16 q0, q0, d16 \n"
"vaddw.s16 q1, q1, d17 \n"
"sub %6, #9 \n"
"vst1.s32 {d0-d1}, [%0]! \n"
"vst1.s32 {d2-d3}, [%1]! \n"
: "=r"(outptr0), // %0
"=r"(outptr0n), // %1
"=r"(r0), // %2
"=r"(r1), // %3
"=r"(r2), // %4
"=r"(r3), // %5
"=r"(ktmp) // %6
: "0"(outptr0),
"1"(outptr0n),
"2"(r0),
"3"(r1),
"4"(r2),
"5"(r3),
"6"(ktmp)
: "cc", "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15"
);
}
#endif
for (; remain>0; remain--)
{
#if __ARM_NEON
asm volatile(
"vld1.s8 {d0[0]}, [%2]! \n"
"vld1.s8 {d0[1]}, [%2]! \n"
"vld1.s8 {d0[2]}, [%2] \n"
"sub %2, #2 \n"
"vld1.s8 {d0[3]}, [%3]! \n"
"vld1.s8 {d0[4]}, [%3]! \n"
"vld1.s8 {d0[5]}, [%3] \n"
"sub %3, #2 \n"
"vld1.s8 {d0[6]}, [%4]! \n"
"vld1.s8 {d0[7]}, [%4]! \n"// d0=r
"vld1.s8 {d4[]}, [%4] \n"// d4=r22
"sub %4, #2 \n"
"vext.s8 d1, d0, d4, #3 \n"
"vld1.s8 {d1[6]}, [%5]! \n"
"vld1.s8 {d1[7]}, [%5]! \n"// d1=rn
"vld1.s8 {d2}, [%6]! \n"// d2=k01234567
"vld1.s8 {d5[]}, [%5] \n"// d5=r32
"sub %5, #2 \n"
"veor d3, d3 \n"
"vmull.s8 q8, d0, d2 \n"
"vmull.s8 q9, d1, d2 \n"
"vld1.s8 {d3[0]}, [%6] \n"// d3=k8 ... zeros
"sub %6, #8 \n"
"vmlal.s8 q8, d4, d3 \n"
"vmlal.s8 q9, d5, d3 \n"
"vld1.s32 {d6[0]}, [%0] \n"
"vadd.s16 d16, d16, d17 \n"
"vadd.s16 d18, d18, d19 \n"
"vld1.s32 {d6[1]}, [%1] \n"
"vpadd.s16 d16, d16, d18 \n"
"vpadal.s16 d6, d16 \n"
"vst1.s32 {d6[0]}, [%0]! \n"
"vst1.s32 {d6[1]}, [%1]! \n"
: "=r"(outptr0), // %0
"=r"(outptr0n), // %1
"=r"(r0), // %2
"=r"(r1), // %3
"=r"(r2), // %4
"=r"(r3), // %5
"=r"(ktmp) // %6
: "0"(outptr0),
"1"(outptr0n),
"2"(r0),
"3"(r1),
"4"(r2),
"5"(r3),
"6"(ktmp)
: "cc", "memory", "q0", "q1", "q2", "q3", "q8", "q9"
);
#else
int sum0 = 0;
int sum0n = 0;
sum0 += r0[0] * ktmp[0];
sum0 += r0[1] * ktmp[1];
sum0 += r0[2] * ktmp[2];
sum0 += r1[0] * ktmp[3];
sum0 += r1[1] * ktmp[4];
sum0 += r1[2] * ktmp[5];
sum0 += r2[0] * ktmp[6];
sum0 += r2[1] * ktmp[7];
sum0 += r2[2] * ktmp[8];
sum0n += r1[0] * ktmp[0];
sum0n += r1[1] * ktmp[1];
sum0n += r1[2] * ktmp[2];
sum0n += r2[0] * ktmp[3];
sum0n += r2[1] * ktmp[4];
sum0n += r2[2] * ktmp[5];
sum0n += r3[0] * ktmp[6];
sum0n += r3[1] * ktmp[7];
sum0n += r3[2] * ktmp[8];
*outptr0 += sum0;
*outptr0n += sum0n;
outptr0++;
outptr0n++;
#endif
r0++;
r1++;
r2++;
r3++;
}
r0 += 2 + w;
r1 += 2 + w;
r2 += 2 + w;
r3 += 2 + w;
outptr0 += outw;
outptr0n += outw;
}
for (; i < outh; i++)
{
#if __ARM_NEON
int nn = outw >> 3;
int remain = outw & 7;
#else
int remain = outw;
#endif // __ARM_NEON
#if __ARM_NEON
if (nn > 0)
{
asm volatile(
"0: \n"
"pld [%2, #128] \n"
"vld1.s8 {d4-d5}, [%2] \n"// d4=r00 d5=r00n
"add %2, #8 \n"
"vext.s8 d8, d4, d5, #1 \n"// d8=r01
"vmull.s8 q8, d4, %P10 \n"
"vext.s8 d9, d4, d5, #2 \n"// d9=r02
"vmull.s8 q9, d8, %P11 \n"
"pld [%3, #128] \n"
"vld1.s8 {d6-d7}, [%3] \n"// d6=r10 d7=r10n
"add %3, #8 \n"
"vmlal.s8 q8, d9, %P12 \n"
"vext.s8 d10, d6, d7, #1 \n"// d10=r11
"vmlal.s8 q9, d6, %P13 \n"
"vext.s8 d11, d6, d7, #2 \n"// d11=r12
"vmlal.s8 q8, d10, %P14 \n"
"pld [%4, #128] \n"
"vld1.s8 {d4-d5}, [%4] \n"// d4=r20 d5=r20n
"add %4, #8 \n"
"vmlal.s8 q9, d11, %P15 \n"
"vext.s8 d8, d4, d5, #1 \n"// d8=r21
"vmlal.s8 q8, d4, %P16 \n"
"vext.s8 d9, d4, d5, #2 \n"// d9=r22
"vmlal.s8 q9, d8, %P17 \n"
"vmlal.s8 q8, d9, %P18 \n"
"pld [%1, #256] \n"
"vld1.s32 {d0-d3}, [%1] \n"
"vadd.s16 q8, q8, q9 \n"
"vaddw.s16 q0, q0, d16 \n"
"vaddw.s16 q1, q1, d17 \n"
"subs %0, #1 \n"
"vst1.s32 {d0-d3}, [%1]! \n"
"bne 0b \n"
: "=r"(nn), // %0
"=r"(outptr0), // %1
"=r"(r0), // %2
"=r"(r1), // %3
"=r"(r2) // %4
: "0"(nn),
"1"(outptr0),
"2"(r0),
"3"(r1),
"4"(r2),
"w"(_k00), // %10
"w"(_k01), // %11
"w"(_k02), // %12
"w"(_k10), // %13
"w"(_k11), // %14
"w"(_k12), // %15
"w"(_k20), // %16
"w"(_k21), // %17
"w"(_k22) // %18
: "cc", "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q8", "q9"
);
}
#endif
for (; remain>0; remain--)
{
int sum0 = 0;
sum0 += r0[0] * ktmp[0];
sum0 += r0[1] * ktmp[1];
sum0 += r0[2] * ktmp[2];
sum0 += r1[0] * ktmp[3];
sum0 += r1[1] * ktmp[4];
sum0 += r1[2] * ktmp[5];
sum0 += r2[0] * ktmp[6];
sum0 += r2[1] * ktmp[7];
sum0 += r2[2] * ktmp[8];
*outptr0 += sum0;
r0++;
r1++;
r2++;
outptr0++;
}
r0 += 2;
r1 += 2;
r2 += 2;
}
ktmp += 9;
}
}
}
static void conv3x3s2_int8_neon(const Mat& bottom_blob, Mat& top_blob, const Mat& _kernel, const Option& opt)
{
int outw = top_blob.w;
int remain = outw & 7;
typedef void (*conv_func_int8)(const Mat&, Mat&, const Mat&, const Option&);
conv_func_int8 conv_func_table[8] =
{
conv3x3s2_neon_s8, //0
conv3x3s2_neon_s8, //1
conv3x3s2_neon_s8, //2
conv3x3s2_neon_s8, //3
conv3x3s2_neon_s8, //4
conv3x3s2_neon_s8, //5
conv3x3s2_neon_s8, //6
conv3x3s2_neon_s8, //7
};
conv_func_int8 conv = conv_func_table[remain];
conv(bottom_blob, top_blob, _kernel, opt);
return;
}
#endif
|
convolution_5x5.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.
#if __ARM_NEON
#include <arm_neon.h>
#endif // __ARM_NEON
static void conv5x5s1_neon(const Mat& bottom_blob, Mat& top_blob, const Mat& _kernel, const Mat& _bias)
{
int w = bottom_blob.w;
int h = bottom_blob.h;
int inch = bottom_blob.c;
int outw = top_blob.w;
int outh = top_blob.h;
int outch = top_blob.c;
const float* kernel = _kernel;
const float* bias = _bias;
#pragma omp parallel for
for (int p=0; p<outch; p++)
{
Mat out = top_blob.channel(p);
const float bias0 = bias ? bias[p] : 0.f;
out.fill(bias0);
for (int q=0; q<inch; q++)
{
float* outptr = out;
float* outptr2 = outptr + outw;
const float* img0 = bottom_blob.channel(q);
const float* kernel0 = kernel + p*inch*25 + q*25;
const float* r0 = img0;
const float* r1 = img0 + w;
const float* r2 = img0 + w*2;
const float* r3 = img0 + w*3;
const float* r4 = img0 + w*4;
const float* r5 = img0 + w*5;
const float* k0 = kernel0;
const float* k1 = kernel0 + 5;
const float* k2 = kernel0 + 10;
const float* k3 = kernel0 + 15;
const float* k4 = kernel0 + 20;
#if __ARM_NEON
float32x4_t _k0123 = vld1q_f32(kernel0);
float32x4_t _k4567 = vld1q_f32(kernel0+4);
float32x4_t _k891011 = vld1q_f32(kernel0+8);
float32x4_t _k12131415 = vld1q_f32(kernel0+12);
float32x4_t _k16171819 = vld1q_f32(kernel0+16);
float32x4_t _k20212223 = vld1q_f32(kernel0+20);
float32x4_t _k24242424 = vdupq_n_f32(kernel0[24]);
#endif // __ARM_NEON
int i = 0;
for (; i+1 < outh; i+=2)
{
#if __ARM_NEON
int nn = outw >> 2;
int remain = outw - (nn << 2);
#else
int remain = outw;
#endif // __ARM_NEON
#if __ARM_NEON
#if __aarch64__
for (; nn>0; nn--)
{
float32x4_t _sum = vld1q_f32(outptr);
float32x4_t _sum2 = vld1q_f32(outptr2);
float32x4_t _r00 = vld1q_f32(r0);
float32x4_t _r04 = vld1q_f32(r0 + 4);
float32x4_t _r01 = vextq_f32(_r00, _r04, 1);
float32x4_t _r02 = vextq_f32(_r00, _r04, 2);
float32x4_t _r03 = vextq_f32(_r00, _r04, 3);
float32x4_t _r10 = vld1q_f32(r1);
float32x4_t _r14 = vld1q_f32(r1 + 4);
float32x4_t _r11 = vextq_f32(_r10, _r14, 1);
float32x4_t _r12 = vextq_f32(_r10, _r14, 2);
float32x4_t _r13 = vextq_f32(_r10, _r14, 3);
float32x4_t _r20 = vld1q_f32(r2);
float32x4_t _r24 = vld1q_f32(r2 + 4);
float32x4_t _r21 = vextq_f32(_r20, _r24, 1);
float32x4_t _r22 = vextq_f32(_r20, _r24, 2);
float32x4_t _r23 = vextq_f32(_r20, _r24, 3);
float32x4_t _r30 = vld1q_f32(r3);
float32x4_t _r34 = vld1q_f32(r3 + 4);
float32x4_t _r31 = vextq_f32(_r30, _r34, 1);
float32x4_t _r32 = vextq_f32(_r30, _r34, 2);
float32x4_t _r33 = vextq_f32(_r30, _r34, 3);
float32x4_t _r40 = vld1q_f32(r4);
float32x4_t _r44 = vld1q_f32(r4 + 4);
float32x4_t _r41 = vextq_f32(_r40, _r44, 1);
float32x4_t _r42 = vextq_f32(_r40, _r44, 2);
float32x4_t _r43 = vextq_f32(_r40, _r44, 3);
float32x4_t _r50 = vld1q_f32(r5);
float32x4_t _r54 = vld1q_f32(r5 + 4);
float32x4_t _r51 = vextq_f32(_r50, _r54, 1);
float32x4_t _r52 = vextq_f32(_r50, _r54, 2);
float32x4_t _r53 = vextq_f32(_r50, _r54, 3);
_sum = vfmaq_laneq_f32(_sum, _r00, _k0123, 0);
_sum = vfmaq_laneq_f32(_sum, _r01, _k0123, 1);
_sum = vfmaq_laneq_f32(_sum, _r02, _k0123, 2);
_sum = vfmaq_laneq_f32(_sum, _r03, _k0123, 3);
_sum = vfmaq_laneq_f32(_sum, _r04, _k4567, 0);
_sum = vfmaq_laneq_f32(_sum, _r10, _k4567, 1);
_sum = vfmaq_laneq_f32(_sum, _r11, _k4567, 2);
_sum = vfmaq_laneq_f32(_sum, _r12, _k4567, 3);
_sum = vfmaq_laneq_f32(_sum, _r13, _k891011, 0);
_sum = vfmaq_laneq_f32(_sum, _r14, _k891011, 1);
_sum = vfmaq_laneq_f32(_sum, _r20, _k891011, 2);
_sum = vfmaq_laneq_f32(_sum, _r21, _k891011, 3);
_sum = vfmaq_laneq_f32(_sum, _r22, _k12131415, 0);
_sum = vfmaq_laneq_f32(_sum, _r23, _k12131415, 1);
_sum = vfmaq_laneq_f32(_sum, _r24, _k12131415, 2);
_sum = vfmaq_laneq_f32(_sum, _r30, _k12131415, 3);
_sum = vfmaq_laneq_f32(_sum, _r31, _k16171819, 0);
_sum = vfmaq_laneq_f32(_sum, _r32, _k16171819, 1);
_sum = vfmaq_laneq_f32(_sum, _r33, _k16171819, 2);
_sum = vfmaq_laneq_f32(_sum, _r34, _k16171819, 3);
_sum = vfmaq_laneq_f32(_sum, _r40, _k20212223, 0);
_sum = vfmaq_laneq_f32(_sum, _r41, _k20212223, 1);
_sum = vfmaq_laneq_f32(_sum, _r42, _k20212223, 2);
_sum = vfmaq_laneq_f32(_sum, _r43, _k20212223, 3);
_sum = vfmaq_laneq_f32(_sum, _r44, _k24242424, 0);
_sum2 = vfmaq_laneq_f32(_sum2, _r10, _k0123, 0);
_sum2 = vfmaq_laneq_f32(_sum2, _r11, _k0123, 1);
_sum2 = vfmaq_laneq_f32(_sum2, _r12, _k0123, 2);
_sum2 = vfmaq_laneq_f32(_sum2, _r13, _k0123, 3);
_sum2 = vfmaq_laneq_f32(_sum2, _r14, _k4567, 0);
_sum2 = vfmaq_laneq_f32(_sum2, _r20, _k4567, 1);
_sum2 = vfmaq_laneq_f32(_sum2, _r21, _k4567, 2);
_sum2 = vfmaq_laneq_f32(_sum2, _r22, _k4567, 3);
_sum2 = vfmaq_laneq_f32(_sum2, _r23, _k891011, 0);
_sum2 = vfmaq_laneq_f32(_sum2, _r24, _k891011, 1);
_sum2 = vfmaq_laneq_f32(_sum2, _r30, _k891011, 2);
_sum2 = vfmaq_laneq_f32(_sum2, _r31, _k891011, 3);
_sum2 = vfmaq_laneq_f32(_sum2, _r32, _k12131415, 0);
_sum2 = vfmaq_laneq_f32(_sum2, _r33, _k12131415, 1);
_sum2 = vfmaq_laneq_f32(_sum2, _r34, _k12131415, 2);
_sum2 = vfmaq_laneq_f32(_sum2, _r40, _k12131415, 3);
_sum2 = vfmaq_laneq_f32(_sum2, _r41, _k16171819, 0);
_sum2 = vfmaq_laneq_f32(_sum2, _r42, _k16171819, 1);
_sum2 = vfmaq_laneq_f32(_sum2, _r43, _k16171819, 2);
_sum2 = vfmaq_laneq_f32(_sum2, _r44, _k16171819, 3);
_sum2 = vfmaq_laneq_f32(_sum2, _r50, _k20212223, 0);
_sum2 = vfmaq_laneq_f32(_sum2, _r51, _k20212223, 1);
_sum2 = vfmaq_laneq_f32(_sum2, _r52, _k20212223, 2);
_sum2 = vfmaq_laneq_f32(_sum2, _r53, _k20212223, 3);
_sum2 = vfmaq_laneq_f32(_sum2, _r54, _k24242424, 0);
vst1q_f32(outptr, _sum);
vst1q_f32(outptr2, _sum2);
r0 += 4;
r1 += 4;
r2 += 4;
r3 += 4;
r4 += 4;
r5 += 4;
outptr += 4;
outptr2 += 4;
}
#else
if (nn > 0)
{
asm volatile(
// "veor q13, q13 \n"
// "veor q14, q14 \n"
"pld [%1, #128] \n"
"vld1.f32 {d14-d15}, [%1] \n"// q7 = out
"0: \n"
// q11 = rx1 / rx3
// q12 = rx2
// q13 q14 = intermediate sum register
"pld [%2, #128] \n"
"vld1.f32 {d16-d17}, [%2] \n"// q8 = out2
"pld [%4, #256] \n"
// r1
"vld1.f32 {d18-d21}, [%4] \n"// q9 q10 = r10 r14
"add %4, #16 \n"
"vext.32 q11, q9, q10, #1 \n"// r11
"vmul.f32 q13, q9, %e19[1] \n"
"vmla.f32 q8, q9, %e18[0] \n"
"vext.32 q12, q9, q10, #2 \n"// r12
"vmla.f32 q7, q11, %f19[0] \n"
"vmul.f32 q14, q11, %e18[1] \n"
"vext.32 q11, q9, q10, #3 \n"// r13
"vmla.f32 q13, q12, %f19[1] \n"
"vmla.f32 q8, q12, %f18[0] \n"
"vmla.f32 q7, q11, %e20[0] \n"
"vmla.f32 q14, q11, %f18[1] \n"
"pld [%5, #256] \n"
"vmla.f32 q13, q10, %e20[1] \n"
"vmla.f32 q8, q10, %e19[0] \n"
// r2
"vld1.f32 {d18-d21}, [%5] \n"// q9 q10 = r20 r24
"add %5, #16 \n"
"vext.32 q11, q9, q10, #1 \n"// r21
"vmla.f32 q7, q9, %f20[0] \n"
"vmla.f32 q14, q9, %e19[1] \n"
"vext.32 q12, q9, q10, #2 \n"// r22
"vmla.f32 q13, q11, %f20[1] \n"
"vmla.f32 q8, q11, %f19[0] \n"
"vext.32 q11, q9, q10, #3 \n"// r23
"vmla.f32 q7, q12, %e21[0] \n"
"vmla.f32 q14, q12, %f19[1] \n"
"vmla.f32 q13, q11, %e21[1] \n"
"vmla.f32 q8, q11, %e20[0] \n"
"pld [%6, #256] \n"
"vmla.f32 q7, q10, %f21[0] \n"
"vmla.f32 q14, q10, %e20[1] \n"
// r3
"vld1.f32 {d18-d21}, [%6] \n"// q9 q10 = r30 r34
"add %6, #16 \n"
"vext.32 q11, q9, q10, #1 \n"// r31
"vmla.f32 q13, q9, %f21[1] \n"
"vmla.f32 q8, q9, %f20[0] \n"
"vext.32 q12, q9, q10, #2 \n"// r32
"vmla.f32 q7, q11, %e22[0] \n"
"vmla.f32 q14, q11, %f20[1] \n"
"vext.32 q11, q9, q10, #3 \n"// r33
"vmla.f32 q13, q12, %e22[1] \n"
"vmla.f32 q8, q12, %e21[0] \n"
"vmla.f32 q7, q11, %f22[0] \n"
"vmla.f32 q14, q11, %e21[1] \n"
"pld [%7, #256] \n"
"vmla.f32 q13, q10, %f22[1] \n"
"vmla.f32 q8, q10, %f21[0] \n"
// r4
"vld1.f32 {d18-d21}, [%7] \n"// q9 q10 = r40 r44
"add %7, #16 \n"
"vext.32 q11, q9, q10, #1 \n"// r41
"vmla.f32 q7, q9, %e23[0] \n"
"vmla.f32 q14, q9, %f21[1] \n"
"vext.32 q12, q9, q10, #2 \n"// r42
"vmla.f32 q13, q11, %e23[1] \n"
"vmla.f32 q8, q11, %e22[0] \n"
"vext.32 q11, q9, q10, #3 \n"// r43
"vmla.f32 q7, q12, %f23[0] \n"
"vmla.f32 q14, q12, %e22[1] \n"
"vmla.f32 q13, q11, %f23[1] \n"
"vmla.f32 q8, q11, %f22[0] \n"
"pld [%3, #256] \n"
"vmla.f32 q7, q10, %e24[0] \n"
"vmla.f32 q14, q10, %f22[1] \n"
// r0 and r5
"vld1.f32 {d18-d21}, [%3] \n"// q9 q10 = r00 r04
"add %3, #16 \n"
"vext.32 q11, q9, q10, #1 \n"// r01
"vmla.f32 q13, q11, %e18[1] \n"
"vext.32 q12, q9, q10, #2 \n"// r02
"vmla.f32 q7, q12, %f18[0] \n"
"vext.32 q11, q9, q10, #3 \n"// r03
"pld [%8, #256] \n"
"vmla.f32 q13, q11, %f18[1] \n"
// r5
"vld1.f32 {d22-d25}, [%8] \n"// q11 q12 = r50 r54
"add %8, #16 \n"
"vmla.f32 q8, q11, %e23[0] \n"
"vmla.f32 q14, q12, %e24[0] \n"
"vmla.f32 q7, q9, %e18[0] \n"
"vmla.f32 q13, q10, %e19[0] \n"
"vext.32 q9, q11, q12, #1 \n"// r51
"vext.32 q10, q11, q12, #2 \n"// r52
"vmla.f32 q14, q9, %e23[1] \n"
"vext.32 q9, q11, q12, #3 \n"// r53
"vmla.f32 q8, q10, %f23[0] \n"
"vmla.f32 q14, q9, %f23[1] \n"
"vadd.f32 q7, q7, q13 \n"
// "veor q13, q13 \n"
"vst1.f32 {d14-d15}, [%1]! \n"
"vadd.f32 q8, q8, q14 \n"
"pld [%1, #128] \n"
"vld1.f32 {d14-d15}, [%1] \n"// q7 = out
// "veor q14, q14 \n"
"vst1.f32 {d16-d17}, [%2]! \n"
"subs %0, #1 \n"
"bne 0b \n"
: "=r"(nn), // %0
"=r"(outptr), // %1
"=r"(outptr2), // %2
"=r"(r0), // %3
"=r"(r1), // %4
"=r"(r2), // %5
"=r"(r3), // %6
"=r"(r4), // %7
"=r"(r5) // %8
: "0"(nn),
"1"(outptr),
"2"(outptr2),
"3"(r0),
"4"(r1),
"5"(r2),
"6"(r3),
"7"(r4),
"8"(r5),
"w"(_k0123), // %18
"w"(_k4567), // %19
"w"(_k891011), // %20
"w"(_k12131415), // %21
"w"(_k16171819), // %22
"w"(_k20212223), // %23
"w"(_k24242424) // %24
: "cc", "memory", "q7", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15"
);
}
#endif // __aarch64__
#endif // __ARM_NEON
for (; remain>0; remain--)
{
float sum = 0;
float sum2 = 0;
#if __ARM_NEON
float32x4_t _r1 = vld1q_f32(r1);
float32x4_t _k1 = vld1q_f32(k1);
float32x4_t _sum = vmulq_f32(_r1, _k1);
float32x4_t _sum2 = vmulq_f32(_r1, _k0123);
float32x4_t _r2 = vld1q_f32(r2);
float32x4_t _k2 = vld1q_f32(k2);
_sum = vmlaq_f32(_sum, _r2, _k2);
_sum2 = vmlaq_f32(_sum2, _r2, _k1);
float32x4_t _r3 = vld1q_f32(r3);
float32x4_t _k3 = vld1q_f32(k3);
_sum = vmlaq_f32(_sum, _r3, _k3);
_sum2 = vmlaq_f32(_sum2, _r3, _k2);
float32x4_t _r4 = vld1q_f32(r4);
_sum = vmlaq_f32(_sum, _r4, _k20212223);
_sum2 = vmlaq_f32(_sum2, _r4, _k3);
float32x4_t _r0 = vld1q_f32(r0);
_sum = vmlaq_f32(_sum, _r0, _k0123);
float32x4_t _r5 = vld1q_f32(r5);
_sum2 = vmlaq_f32(_sum2, _r5, _k20212223);
float32x4_t _k_t4;
_k_t4 = vsetq_lane_f32(k0[4], _k_t4, 0);
_k_t4 = vsetq_lane_f32(k1[4], _k_t4, 1);
_k_t4 = vsetq_lane_f32(k2[4], _k_t4, 2);
_k_t4 = vsetq_lane_f32(k3[4], _k_t4, 3);
float32x4_t _r_t4;
_r_t4 = vsetq_lane_f32(r0[4], _r_t4, 0);
_r_t4 = vsetq_lane_f32(r1[4], _r_t4, 1);
_r_t4 = vsetq_lane_f32(r2[4], _r_t4, 2);
_r_t4 = vsetq_lane_f32(r3[4], _r_t4, 3);
_sum = vmlaq_f32(_sum, _r_t4, _k_t4);
sum = r4[4] * k4[4];
_r_t4 = vextq_f32(_r_t4, _r_t4, 1);
_r_t4 = vsetq_lane_f32(r4[4], _r_t4, 3);
_sum2 = vmlaq_f32(_sum2, _r_t4, _k_t4);
sum2 = r5[4] * k4[4];
float32x2_t _ss = vadd_f32(vget_low_f32(_sum), vget_high_f32(_sum));
float32x2_t _ss2 = vadd_f32(vget_low_f32(_sum2), vget_high_f32(_sum2));
float32x2_t _ss_ss2 = vpadd_f32(_ss, _ss2);
sum += vget_lane_f32(_ss_ss2, 0);
sum2 += vget_lane_f32(_ss_ss2, 1);
#else
sum += r0[0] * k0[0];
sum += r0[1] * k0[1];
sum += r0[2] * k0[2];
sum += r0[3] * k0[3];
sum += r0[4] * k0[4];
sum += r1[0] * k1[0];
sum += r1[1] * k1[1];
sum += r1[2] * k1[2];
sum += r1[3] * k1[3];
sum += r1[4] * k1[4];
sum += r2[0] * k2[0];
sum += r2[1] * k2[1];
sum += r2[2] * k2[2];
sum += r2[3] * k2[3];
sum += r2[4] * k2[4];
sum += r3[0] * k3[0];
sum += r3[1] * k3[1];
sum += r3[2] * k3[2];
sum += r3[3] * k3[3];
sum += r3[4] * k3[4];
sum += r4[0] * k4[0];
sum += r4[1] * k4[1];
sum += r4[2] * k4[2];
sum += r4[3] * k4[3];
sum += r4[4] * k4[4];
sum2 += r1[0] * k0[0];
sum2 += r1[1] * k0[1];
sum2 += r1[2] * k0[2];
sum2 += r1[3] * k0[3];
sum2 += r1[4] * k0[4];
sum2 += r2[0] * k1[0];
sum2 += r2[1] * k1[1];
sum2 += r2[2] * k1[2];
sum2 += r2[3] * k1[3];
sum2 += r2[4] * k1[4];
sum2 += r3[0] * k2[0];
sum2 += r3[1] * k2[1];
sum2 += r3[2] * k2[2];
sum2 += r3[3] * k2[3];
sum2 += r3[4] * k2[4];
sum2 += r4[0] * k3[0];
sum2 += r4[1] * k3[1];
sum2 += r4[2] * k3[2];
sum2 += r4[3] * k3[3];
sum2 += r4[4] * k3[4];
sum2 += r5[0] * k4[0];
sum2 += r5[1] * k4[1];
sum2 += r5[2] * k4[2];
sum2 += r5[3] * k4[3];
sum2 += r5[4] * k4[4];
#endif // __ARM_NEON
*outptr += sum;
*outptr2 += sum2;
r0++;
r1++;
r2++;
r3++;
r4++;
r5++;
outptr++;
outptr2++;
}
r0 += 4 + w;
r1 += 4 + w;
r2 += 4 + w;
r3 += 4 + w;
r4 += 4 + w;
r5 += 4 + w;
outptr += outw;
outptr2 += outw;
}
for (; i < outh; i++)
{
#if __ARM_NEON
int nn = outw >> 2;
int remain = outw - (nn << 2);
#else
int remain = outw;
#endif // __ARM_NEON
#if __ARM_NEON
#if __aarch64__
for (; nn>0; nn--)
{
float32x4_t _sum = vld1q_f32(outptr);
float32x4_t _r00 = vld1q_f32(r0);
float32x4_t _r04 = vld1q_f32(r0 + 4);
float32x4_t _r01 = vextq_f32(_r00, _r04, 1);
float32x4_t _r02 = vextq_f32(_r00, _r04, 2);
float32x4_t _r03 = vextq_f32(_r00, _r04, 3);
float32x4_t _r10 = vld1q_f32(r1);
float32x4_t _r14 = vld1q_f32(r1 + 4);
float32x4_t _r11 = vextq_f32(_r10, _r14, 1);
float32x4_t _r12 = vextq_f32(_r10, _r14, 2);
float32x4_t _r13 = vextq_f32(_r10, _r14, 3);
float32x4_t _r20 = vld1q_f32(r2);
float32x4_t _r24 = vld1q_f32(r2 + 4);
float32x4_t _r21 = vextq_f32(_r20, _r24, 1);
float32x4_t _r22 = vextq_f32(_r20, _r24, 2);
float32x4_t _r23 = vextq_f32(_r20, _r24, 3);
float32x4_t _r30 = vld1q_f32(r3);
float32x4_t _r34 = vld1q_f32(r3 + 4);
float32x4_t _r31 = vextq_f32(_r30, _r34, 1);
float32x4_t _r32 = vextq_f32(_r30, _r34, 2);
float32x4_t _r33 = vextq_f32(_r30, _r34, 3);
float32x4_t _r40 = vld1q_f32(r4);
float32x4_t _r44 = vld1q_f32(r4 + 4);
float32x4_t _r41 = vextq_f32(_r40, _r44, 1);
float32x4_t _r42 = vextq_f32(_r40, _r44, 2);
float32x4_t _r43 = vextq_f32(_r40, _r44, 3);
_sum = vfmaq_laneq_f32(_sum, _r00, _k0123, 0);
_sum = vfmaq_laneq_f32(_sum, _r01, _k0123, 1);
_sum = vfmaq_laneq_f32(_sum, _r02, _k0123, 2);
_sum = vfmaq_laneq_f32(_sum, _r03, _k0123, 3);
_sum = vfmaq_laneq_f32(_sum, _r04, _k4567, 0);
_sum = vfmaq_laneq_f32(_sum, _r10, _k4567, 1);
_sum = vfmaq_laneq_f32(_sum, _r11, _k4567, 2);
_sum = vfmaq_laneq_f32(_sum, _r12, _k4567, 3);
_sum = vfmaq_laneq_f32(_sum, _r13, _k891011, 0);
_sum = vfmaq_laneq_f32(_sum, _r14, _k891011, 1);
_sum = vfmaq_laneq_f32(_sum, _r20, _k891011, 2);
_sum = vfmaq_laneq_f32(_sum, _r21, _k891011, 3);
_sum = vfmaq_laneq_f32(_sum, _r22, _k12131415, 0);
_sum = vfmaq_laneq_f32(_sum, _r23, _k12131415, 1);
_sum = vfmaq_laneq_f32(_sum, _r24, _k12131415, 2);
_sum = vfmaq_laneq_f32(_sum, _r30, _k12131415, 3);
_sum = vfmaq_laneq_f32(_sum, _r31, _k16171819, 0);
_sum = vfmaq_laneq_f32(_sum, _r32, _k16171819, 1);
_sum = vfmaq_laneq_f32(_sum, _r33, _k16171819, 2);
_sum = vfmaq_laneq_f32(_sum, _r34, _k16171819, 3);
_sum = vfmaq_laneq_f32(_sum, _r40, _k20212223, 0);
_sum = vfmaq_laneq_f32(_sum, _r41, _k20212223, 1);
_sum = vfmaq_laneq_f32(_sum, _r42, _k20212223, 2);
_sum = vfmaq_laneq_f32(_sum, _r43, _k20212223, 3);
_sum = vfmaq_laneq_f32(_sum, _r44, _k24242424, 0);
vst1q_f32(outptr, _sum);
r0 += 4;
r1 += 4;
r2 += 4;
r3 += 4;
r4 += 4;
outptr += 4;
}
#else
if (nn > 0)
{
asm volatile(
// "veor q15, q15 \n"// _sum3 = 0;
"pld [%1, #128] \n"
"pld [%2, #256] \n"
"vld1.f32 {d16-d19}, [%2] \n"// _r00 = vld1q_f32(r0+j);
"add %2, #16 \n"
"0: \n"
"vld1.f32 {d14-d15}, [%1] \n"// _sum = vld1q_f32(outptr+j);
"veor q13, q13 \n"// _sum2 = 0;
"veor q14, q14 \n"// _sum3 = 0;
"vext.32 q10, q8, q9, #1 \n"// _r01
"vext.32 q11, q8, q9, #2 \n"// _r02
"vext.32 q12, q8, q9, #3 \n"// _r03
"vmla.f32 q7, q8, %e14[0] \n"
"vmla.f32 q13, q10, %e14[1] \n"
"pld [%3, #256] \n"
"vmla.f32 q14, q11, %f14[0] \n"
"vmul.f32 q15, q12, %f14[1] \n"
"vmla.f32 q7, q9, %e15[0] \n"
"vld1.f32 {d16-d19}, [%3] \n"
"add %3, #16 \n"
"vext.32 q10, q8, q9, #1 \n"
"vext.32 q11, q8, q9, #2 \n"
"vext.32 q12, q8, q9, #3 \n"
"vmla.f32 q7, q8, %e15[1] \n"
"vmla.f32 q13, q10, %f15[0] \n"
"pld [%4, #256] \n"
"vmla.f32 q14, q11, %f15[1] \n"
"vmla.f32 q15, q12, %e16[0] \n"
"vmla.f32 q7, q9, %e16[1] \n"
"vld1.f32 {d16-d19}, [%4] \n"
"add %4, #16 \n"
"vext.32 q10, q8, q9, #1 \n"
"vext.32 q11, q8, q9, #2 \n"
"vext.32 q12, q8, q9, #3 \n"
"vmla.f32 q7, q8, %f16[0] \n"
"vmla.f32 q13, q10, %f16[1] \n"
"pld [%5, #256] \n"
"vmla.f32 q14, q11, %e17[0] \n"
"vmla.f32 q15, q12, %e17[1] \n"
"vmla.f32 q7, q9, %f17[0] \n"
"vld1.f32 {d16-d19}, [%5] \n"
"add %5, #16 \n"
"vext.32 q10, q8, q9, #1 \n"
"vext.32 q11, q8, q9, #2 \n"
"vext.32 q12, q8, q9, #3 \n"
"vmla.f32 q7, q8, %f17[1] \n"
"vmla.f32 q13, q10, %e18[0] \n"
"pld [%6, #256] \n"
"vmla.f32 q14, q11, %e18[1] \n"
"vmla.f32 q15, q12, %f18[0] \n"
"vmla.f32 q7, q9, %f18[1] \n"
"vld1.f32 {d16-d19}, [%6] \n"
"add %6, #16 \n"
"vext.32 q10, q8, q9, #1 \n"
"vext.32 q11, q8, q9, #2 \n"
"vext.32 q12, q8, q9, #3 \n"
"vmla.f32 q7, q8, %e19[0] \n"
"vmla.f32 q13, q10, %e19[1] \n"
"vmla.f32 q14, q11, %f19[0] \n"
"vmla.f32 q15, q12, %f19[1] \n"
"vmla.f32 q7, q9, %e20[0] \n"
"vadd.f32 q14, q14, q15 \n"
"vadd.f32 q7, q7, q13 \n"
// "veor q15, q15 \n"// _sum3 = 0;
"pld [%2, #256] \n"
"vadd.f32 q7, q7, q14 \n"
"vld1.f32 {d16-d19}, [%2] \n"// _r00 = vld1q_f32(r0+j);
"add %2, #16 \n"
"vst1.f32 {d14-d15}, [%1]! \n"
"pld [%1, #128] \n"
"subs %0, #1 \n"
"bne 0b \n"
"sub %2, #16 \n"
: "=r"(nn), // %0
"=r"(outptr), // %1
"=r"(r0), // %2
"=r"(r1), // %3
"=r"(r2), // %4
"=r"(r3), // %5
"=r"(r4) // %6
: "0"(nn),
"1"(outptr),
"2"(r0),
"3"(r1),
"4"(r2),
"5"(r3),
"6"(r4),
"w"(_k0123), // %14
"w"(_k4567), // %15
"w"(_k891011), // %16
"w"(_k12131415), // %17
"w"(_k16171819), // %18
"w"(_k20212223), // %19
"w"(_k24242424) // %20
: "cc", "memory", "q7", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15"
);
}
#endif // __aarch64__
#endif // __ARM_NEON
for (; remain>0; remain--)
{
float sum = 0;
#if __ARM_NEON
float32x4_t _r0 = vld1q_f32(r0);
float32x4_t _sum = vmulq_f32(_r0, _k0123);
float32x4_t _r1 = vld1q_f32(r1);
_sum = vmlaq_f32(_sum, _r1, vld1q_f32(k1));
float32x4_t _r2 = vld1q_f32(r2);
_sum = vmlaq_f32(_sum, _r2, vld1q_f32(k2));
float32x4_t _r3 = vld1q_f32(r3);
_sum = vmlaq_f32(_sum, _r3, vld1q_f32(k3));
float32x4_t _r4 = vld1q_f32(r4);
_sum = vmlaq_f32(_sum, _r4, _k20212223);
float32x4_t _k_t4;
_k_t4 = vsetq_lane_f32(k0[4], _k_t4, 0);
_k_t4 = vsetq_lane_f32(k1[4], _k_t4, 1);
_k_t4 = vsetq_lane_f32(k2[4], _k_t4, 2);
_k_t4 = vsetq_lane_f32(k3[4], _k_t4, 3);
float32x4_t _r_t4;
_r_t4 = vsetq_lane_f32(r0[4], _r_t4, 0);
_r_t4 = vsetq_lane_f32(r1[4], _r_t4, 1);
_r_t4 = vsetq_lane_f32(r2[4], _r_t4, 2);
_r_t4 = vsetq_lane_f32(r3[4], _r_t4, 3);
_sum = vmlaq_f32(_sum, _r_t4, _k_t4);
sum = r4[4] * k4[4];
float32x2_t _ss = vadd_f32(vget_low_f32(_sum), vget_high_f32(_sum));
_ss = vpadd_f32(_ss, _ss);
sum += vget_lane_f32(_ss, 0);
#else
sum += r0[0] * k0[0];
sum += r0[1] * k0[1];
sum += r0[2] * k0[2];
sum += r0[3] * k0[3];
sum += r0[4] * k0[4];
sum += r1[0] * k1[0];
sum += r1[1] * k1[1];
sum += r1[2] * k1[2];
sum += r1[3] * k1[3];
sum += r1[4] * k1[4];
sum += r2[0] * k2[0];
sum += r2[1] * k2[1];
sum += r2[2] * k2[2];
sum += r2[3] * k2[3];
sum += r2[4] * k2[4];
sum += r3[0] * k3[0];
sum += r3[1] * k3[1];
sum += r3[2] * k3[2];
sum += r3[3] * k3[3];
sum += r3[4] * k3[4];
sum += r4[0] * k4[0];
sum += r4[1] * k4[1];
sum += r4[2] * k4[2];
sum += r4[3] * k4[3];
sum += r4[4] * k4[4];
#endif
*outptr += sum;
r0++;
r1++;
r2++;
r3++;
r4++;
outptr++;
}
r0 += 4;
r1 += 4;
r2 += 4;
r3 += 4;
r4 += 4;
}
}
}
}
static void conv5x5s2_neon(const Mat& bottom_blob, Mat& top_blob, const Mat& _kernel, const Mat& _bias)
{
int w = bottom_blob.w;
int h = bottom_blob.h;
int inch = bottom_blob.c;
int outw = top_blob.w;
int outh = top_blob.h;
int outch = top_blob.c;
const int tailstep = w - 2*outw + w;
const float* kernel = _kernel;
const float* bias = _bias;
#pragma omp parallel for
for (int p=0; p<outch; p++)
{
Mat out = top_blob.channel(p);
const float bias0 = bias ? bias[p] : 0.f;
out.fill(bias0);
for (int q=0; q<inch; q++)
{
float* outptr = out;
const float* img0 = bottom_blob.channel(q);
const float* kernel0 = kernel + p*inch*25 + q*25;
const float* r0 = img0;
const float* r1 = img0 + w;
const float* r2 = img0 + w*2;
const float* r3 = img0 + w*3;
const float* r4 = img0 + w*4;
const float* k0 = kernel0;
const float* k1 = kernel0 + 5;
const float* k2 = kernel0 + 10;
const float* k3 = kernel0 + 15;
const float* k4 = kernel0 + 20;
#if __ARM_NEON
float32x4_t _k0123 = vld1q_f32(kernel0);
float32x4_t _k4567 = vld1q_f32(kernel0+4);
float32x4_t _k891011 = vld1q_f32(kernel0+8);
float32x4_t _k12131415 = vld1q_f32(kernel0+12);
float32x4_t _k16171819 = vld1q_f32(kernel0+16);
float32x4_t _k20212223 = vld1q_f32(kernel0+20);
float32x4_t _k24242424 = vdupq_n_f32(kernel0[24]);
#endif // __ARM_NEON
for (int i = 0; i < outh; i++)
{
#if __ARM_NEON
int nn = outw >> 2;
int remain = outw - (nn << 2);
#else
int remain = outw;
#endif // __ARM_NEON
#if __ARM_NEON
#if __aarch64__
for (; nn>0; nn--)
{
float32x4_t _sum = vld1q_f32(outptr);
float32x4x2_t _r00_02461357 = vld2q_f32(r0);
float32x4x2_t _r00nx2 = vld2q_f32(r0 + 8);
float32x4_t _r0_8101214 = _r00nx2.val[0];// 8 10 12 14
float32x4_t _r0_9111315 = _r00nx2.val[1];// 9 11 13 15
float32x4_t _r00 = _r00_02461357.val[0];// 0 2 4 6
float32x4_t _r01 = _r00_02461357.val[1];// 1 3 5 7
float32x4_t _r02 = vextq_f32(_r00, _r0_8101214, 1);// 2 4 6 8
float32x4_t _r03 = vextq_f32(_r01, _r0_9111315, 1);// 3 5 7 9
float32x4_t _r04 = vextq_f32(_r00, _r0_8101214, 2);// 4 6 8 10
float32x4x2_t _r10_02461357 = vld2q_f32(r1);
float32x4x2_t _r10nx2 = vld2q_f32(r1 + 8);
float32x4_t _r1_8101214 = _r10nx2.val[0];
float32x4_t _r1_9111315 = _r10nx2.val[1];
float32x4_t _r10 = _r10_02461357.val[0];
float32x4_t _r11 = _r10_02461357.val[1];
float32x4_t _r12 = vextq_f32(_r10, _r1_8101214, 1);
float32x4_t _r13 = vextq_f32(_r11, _r1_9111315, 1);
float32x4_t _r14 = vextq_f32(_r10, _r1_8101214, 2);
float32x4x2_t _r20_02461357 = vld2q_f32(r2);
float32x4x2_t _r20nx2 = vld2q_f32(r2 + 8);
float32x4_t _r2_8101214 = _r20nx2.val[0];
float32x4_t _r2_9111315 = _r20nx2.val[1];
float32x4_t _r20 = _r20_02461357.val[0];
float32x4_t _r21 = _r20_02461357.val[1];
float32x4_t _r22 = vextq_f32(_r20, _r2_8101214, 1);
float32x4_t _r23 = vextq_f32(_r21, _r2_9111315, 1);
float32x4_t _r24 = vextq_f32(_r20, _r2_8101214, 2);
float32x4x2_t _r30_02461357 = vld2q_f32(r3);
float32x4x2_t _r30nx2 = vld2q_f32(r3 + 8);
float32x4_t _r3_8101214 = _r30nx2.val[0];
float32x4_t _r3_9111315 = _r30nx2.val[1];
float32x4_t _r30 = _r30_02461357.val[0];
float32x4_t _r31 = _r30_02461357.val[1];
float32x4_t _r32 = vextq_f32(_r30, _r3_8101214, 1);
float32x4_t _r33 = vextq_f32(_r31, _r3_9111315, 1);
float32x4_t _r34 = vextq_f32(_r30, _r3_8101214, 2);
float32x4x2_t _r40_02461357 = vld2q_f32(r4);
float32x4x2_t _r40nx2 = vld2q_f32(r4 + 8);
float32x4_t _r4_8101214 = _r40nx2.val[0];
float32x4_t _r4_9111315 = _r40nx2.val[1];
float32x4_t _r40 = _r40_02461357.val[0];
float32x4_t _r41 = _r40_02461357.val[1];
float32x4_t _r42 = vextq_f32(_r40, _r4_8101214, 1);
float32x4_t _r43 = vextq_f32(_r41, _r4_9111315, 1);
float32x4_t _r44 = vextq_f32(_r40, _r4_8101214, 2);
_sum = vfmaq_laneq_f32(_sum, _r00, _k0123, 0);
_sum = vfmaq_laneq_f32(_sum, _r01, _k0123, 1);
_sum = vfmaq_laneq_f32(_sum, _r02, _k0123, 2);
_sum = vfmaq_laneq_f32(_sum, _r03, _k0123, 3);
_sum = vfmaq_laneq_f32(_sum, _r04, _k4567, 0);
_sum = vfmaq_laneq_f32(_sum, _r10, _k4567, 1);
_sum = vfmaq_laneq_f32(_sum, _r11, _k4567, 2);
_sum = vfmaq_laneq_f32(_sum, _r12, _k4567, 3);
_sum = vfmaq_laneq_f32(_sum, _r13, _k891011, 0);
_sum = vfmaq_laneq_f32(_sum, _r14, _k891011, 1);
_sum = vfmaq_laneq_f32(_sum, _r20, _k891011, 2);
_sum = vfmaq_laneq_f32(_sum, _r21, _k891011, 3);
_sum = vfmaq_laneq_f32(_sum, _r22, _k12131415, 0);
_sum = vfmaq_laneq_f32(_sum, _r23, _k12131415, 1);
_sum = vfmaq_laneq_f32(_sum, _r24, _k12131415, 2);
_sum = vfmaq_laneq_f32(_sum, _r30, _k12131415, 3);
_sum = vfmaq_laneq_f32(_sum, _r31, _k16171819, 0);
_sum = vfmaq_laneq_f32(_sum, _r32, _k16171819, 1);
_sum = vfmaq_laneq_f32(_sum, _r33, _k16171819, 2);
_sum = vfmaq_laneq_f32(_sum, _r34, _k16171819, 3);
_sum = vfmaq_laneq_f32(_sum, _r40, _k20212223, 0);
_sum = vfmaq_laneq_f32(_sum, _r41, _k20212223, 1);
_sum = vfmaq_laneq_f32(_sum, _r42, _k20212223, 2);
_sum = vfmaq_laneq_f32(_sum, _r43, _k20212223, 3);
_sum = vfmaq_laneq_f32(_sum, _r44, _k24242424, 0);
vst1q_f32(outptr, _sum);
r0 += 8;
r1 += 8;
r2 += 8;
r3 += 8;
r4 += 8;
outptr += 4;
}
#else
if (nn > 0)
{
asm volatile(
"veor q15, q15 \n"// _sump3 = 0;
"pld [%1, #128] \n"
"veor q13, q13 \n"// _sump2 = 0;
"pld [%2, #256] \n"
"veor q14, q14 \n"// _sump3 = 0;
"vld2.f32 {d16-d19}, [%2]! \n"// q8 = 0 2 4 6 q9 = 1 3 5 7
"pld [%2, #256] \n"
"vld2.f32 {d20-d23}, [%2] \n"// q10 = 8 10 12 14 q11 = 9 11 13 15
"0: \n"
"vld1.f32 {d14-d15}, [%1] \n"// q7 = outptr
"vext.32 q12, q8, q10, #1 \n"// q12 = 2 4 6 8
"vext.32 q11, q9, q11, #1 \n"// q11 = 3 5 7 9
"vext.32 q10, q8, q10, #2 \n"// q10 = 4 6 8 10
"vmla.f32 q7, q8, %e14[0] \n"
"vmla.f32 q13, q9, %e14[1] \n"
"pld [%3, #256] \n"
"vmla.f32 q14, q12, %f14[0] \n"
"vmla.f32 q15, q11, %f14[1] \n"
"vmla.f32 q7, q10, %e15[0] \n"
"vld2.f32 {d16-d19}, [%3]! \n"
"pld [%3, #256] \n"
"vld2.f32 {d20-d23}, [%3] \n"
"vext.32 q12, q8, q10, #1 \n"
"vext.32 q11, q9, q11, #1 \n"
"vext.32 q10, q8, q10, #2 \n"
"vmla.f32 q7, q8, %e15[1] \n"
"vmla.f32 q13, q9, %f15[0] \n"
"pld [%4, #256] \n"
"vmla.f32 q14, q12, %f15[1] \n"
"vmla.f32 q15, q11, %e16[0] \n"
"vmla.f32 q7, q10, %e16[1] \n"
"vld2.f32 {d16-d19}, [%4]! \n"
"pld [%4, #256] \n"
"vld2.f32 {d20-d23}, [%4] \n"
"vext.32 q12, q8, q10, #1 \n"
"vext.32 q11, q9, q11, #1 \n"
"vext.32 q10, q8, q10, #2 \n"
"vmla.f32 q7, q8, %f16[0] \n"
"vmla.f32 q13, q9, %f16[1] \n"
"pld [%5, #256] \n"
"vmla.f32 q14, q12, %e17[0] \n"
"vmla.f32 q15, q11, %e17[1] \n"
"vmla.f32 q7, q10, %f17[0] \n"
"vld2.f32 {d16-d19}, [%5]! \n"
"pld [%5, #256] \n"
"vld2.f32 {d20-d23}, [%5] \n"
"vext.32 q12, q8, q10, #1 \n"
"vext.32 q11, q9, q11, #1 \n"
"vext.32 q10, q8, q10, #2 \n"
"vmla.f32 q7, q8, %f17[1] \n"
"vmla.f32 q13, q9, %e18[0] \n"
"pld [%6, #256] \n"
"vmla.f32 q14, q12, %e18[1] \n"
"vmla.f32 q15, q11, %f18[0] \n"
"vmla.f32 q7, q10, %f18[1] \n"
"vld2.f32 {d16-d19}, [%6]! \n"
"pld [%6, #256] \n"
"vld2.f32 {d20-d23}, [%6] \n"
"vext.32 q12, q8, q10, #1 \n"
"vext.32 q11, q9, q11, #1 \n"
"vext.32 q10, q8, q10, #2 \n"
"vmla.f32 q7, q8, %e19[0] \n"
"vmla.f32 q13, q9, %e19[1] \n"
"vmla.f32 q14, q12, %f19[0] \n"
"vmla.f32 q15, q11, %f19[1] \n"
"vmla.f32 q7, q10, %e20[0] \n"
"pld [%2, #256] \n"
"vld2.f32 {d16-d19}, [%2]! \n"// q8 = 0 2 4 6 q9 = 1 3 5 7
"vadd.f32 q14, q14, q15 \n"
"vadd.f32 q7, q7, q13 \n"
"veor q15, q15 \n"// _sump3 = 0;
"veor q13, q13 \n"// _sump2 = 0;
"pld [%2, #256] \n"
"vadd.f32 q7, q7, q14 \n"
"vld2.f32 {d20-d23}, [%2] \n"// q10 = 8 10 12 14 q11 = 9 11 13 15
"veor q14, q14 \n"// _sump3 = 0;
"vst1.f32 {d14-d15}, [%1]! \n"
"pld [%1, #128] \n"
"subs %0, #1 \n"
"bne 0b \n"
"sub %2, #32 \n"
: "=r"(nn), // %0
"=r"(outptr), // %1
"=r"(r0), // %2
"=r"(r1), // %3
"=r"(r2), // %4
"=r"(r3), // %5
"=r"(r4) // %6
: "0"(nn),
"1"(outptr),
"2"(r0),
"3"(r1),
"4"(r2),
"5"(r3),
"6"(r4),
"w"(_k0123), // %14
"w"(_k4567), // %15
"w"(_k891011), // %16
"w"(_k12131415), // %17
"w"(_k16171819), // %18
"w"(_k20212223), // %19
"w"(_k24242424) // %20
: "cc", "memory", "q7", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15"
);
}
#endif // __aarch64__
#endif // __ARM_NEON
for (; remain>0; remain--)
{
float sum = 0;
#if __ARM_NEON
float32x4_t _r0 = vld1q_f32(r0);
float32x4_t _sum = vmulq_f32(_r0, _k0123);
float32x4_t _r1 = vld1q_f32(r1);
_sum = vmlaq_f32(_sum, _r1, vld1q_f32(k1));
float32x4_t _r2 = vld1q_f32(r2);
_sum = vmlaq_f32(_sum, _r2, vld1q_f32(k2));
float32x4_t _r3 = vld1q_f32(r3);
_sum = vmlaq_f32(_sum, _r3, vld1q_f32(k3));
float32x4_t _r4 = vld1q_f32(r4);
_sum = vmlaq_f32(_sum, _r4, _k20212223);
sum += r0[4] * k0[4];
sum += r1[4] * k1[4];
sum += r2[4] * k2[4];
sum += r3[4] * k3[4];
sum += r4[4] * k4[4];
float32x2_t _ss = vadd_f32(vget_low_f32(_sum), vget_high_f32(_sum));
_ss = vpadd_f32(_ss, _ss);
sum += vget_lane_f32(_ss, 0);
#else
sum += r0[0] * k0[0];
sum += r0[1] * k0[1];
sum += r0[2] * k0[2];
sum += r0[3] * k0[3];
sum += r0[4] * k0[4];
sum += r1[0] * k1[0];
sum += r1[1] * k1[1];
sum += r1[2] * k1[2];
sum += r1[3] * k1[3];
sum += r1[4] * k1[4];
sum += r2[0] * k2[0];
sum += r2[1] * k2[1];
sum += r2[2] * k2[2];
sum += r2[3] * k2[3];
sum += r2[4] * k2[4];
sum += r3[0] * k3[0];
sum += r3[1] * k3[1];
sum += r3[2] * k3[2];
sum += r3[3] * k3[3];
sum += r3[4] * k3[4];
sum += r4[0] * k4[0];
sum += r4[1] * k4[1];
sum += r4[2] * k4[2];
sum += r4[3] * k4[3];
sum += r4[4] * k4[4];
#endif
*outptr += sum;
r0 += 2;
r1 += 2;
r2 += 2;
r3 += 2;
r4 += 2;
outptr++;
}
r0 += tailstep;
r1 += tailstep;
r2 += tailstep;
r3 += tailstep;
r4 += tailstep;
}
}
}
}
#if NCNN_CNNCACHE
static void conv5x5s1_neon_cached(
const Mat& bottom_blob, Mat& top_blob, const Mat& _kernel, const Mat& _bias, bool* cached_map)
{
int w = bottom_blob.w;
int h = bottom_blob.h;
int inch = bottom_blob.c;
int outw = top_blob.w;
int outh = top_blob.h;
int outch = top_blob.c;
const float* kernel = _kernel;
// const float* bias = _bias;
#pragma omp parallel for
for (int p=0; p<outch; p++)
{
Mat out = top_blob.channel(p);
// const float bias0 = bias ? bias[p] : 0.f;
// out.fill(bias0);
for (int q=0; q<inch; q++)
{
float* outptr = out;
float* outptr2 = outptr + outw;
const float* img0 = bottom_blob.channel(q);
const float* kernel0 = kernel + p*inch*25 + q*25;
const float* r0 = img0;
const float* r1 = img0 + w;
const float* r2 = img0 + w*2;
const float* r3 = img0 + w*3;
const float* r4 = img0 + w*4;
const float* r5 = img0 + w*5;
const float* k0 = kernel0;
const float* k1 = kernel0 + 5;
const float* k2 = kernel0 + 10;
const float* k3 = kernel0 + 15;
const float* k4 = kernel0 + 20;
#if __ARM_NEON
float32x4_t _k0123 = vld1q_f32(kernel0);
float32x4_t _k4567 = vld1q_f32(kernel0+4);
float32x4_t _k891011 = vld1q_f32(kernel0+8);
float32x4_t _k12131415 = vld1q_f32(kernel0+12);
float32x4_t _k16171819 = vld1q_f32(kernel0+16);
float32x4_t _k20212223 = vld1q_f32(kernel0+20);
float32x4_t _k24242424 = vdupq_n_f32(kernel0[24]);
#endif // __ARM_NEON
int i = 0;
for (; i+1 < outh; i+=2)
{
#if __ARM_NEON
int nn = outw >> 2;
int remain = outw - (nn << 2);
#else
int remain = outw;
#endif // __ARM_NEON
#if __ARM_NEON
#if __aarch64__
for (; nn>0; nn--)
{
float32x4_t _sum = vld1q_f32(outptr);
float32x4_t _sum2 = vld1q_f32(outptr2);
float32x4_t _r00 = vld1q_f32(r0);
float32x4_t _r04 = vld1q_f32(r0 + 4);
float32x4_t _r01 = vextq_f32(_r00, _r04, 1);
float32x4_t _r02 = vextq_f32(_r00, _r04, 2);
float32x4_t _r03 = vextq_f32(_r00, _r04, 3);
float32x4_t _r10 = vld1q_f32(r1);
float32x4_t _r14 = vld1q_f32(r1 + 4);
float32x4_t _r11 = vextq_f32(_r10, _r14, 1);
float32x4_t _r12 = vextq_f32(_r10, _r14, 2);
float32x4_t _r13 = vextq_f32(_r10, _r14, 3);
float32x4_t _r20 = vld1q_f32(r2);
float32x4_t _r24 = vld1q_f32(r2 + 4);
float32x4_t _r21 = vextq_f32(_r20, _r24, 1);
float32x4_t _r22 = vextq_f32(_r20, _r24, 2);
float32x4_t _r23 = vextq_f32(_r20, _r24, 3);
float32x4_t _r30 = vld1q_f32(r3);
float32x4_t _r34 = vld1q_f32(r3 + 4);
float32x4_t _r31 = vextq_f32(_r30, _r34, 1);
float32x4_t _r32 = vextq_f32(_r30, _r34, 2);
float32x4_t _r33 = vextq_f32(_r30, _r34, 3);
float32x4_t _r40 = vld1q_f32(r4);
float32x4_t _r44 = vld1q_f32(r4 + 4);
float32x4_t _r41 = vextq_f32(_r40, _r44, 1);
float32x4_t _r42 = vextq_f32(_r40, _r44, 2);
float32x4_t _r43 = vextq_f32(_r40, _r44, 3);
float32x4_t _r50 = vld1q_f32(r5);
float32x4_t _r54 = vld1q_f32(r5 + 4);
float32x4_t _r51 = vextq_f32(_r50, _r54, 1);
float32x4_t _r52 = vextq_f32(_r50, _r54, 2);
float32x4_t _r53 = vextq_f32(_r50, _r54, 3);
_sum = vfmaq_laneq_f32(_sum, _r00, _k0123, 0);
_sum = vfmaq_laneq_f32(_sum, _r01, _k0123, 1);
_sum = vfmaq_laneq_f32(_sum, _r02, _k0123, 2);
_sum = vfmaq_laneq_f32(_sum, _r03, _k0123, 3);
_sum = vfmaq_laneq_f32(_sum, _r04, _k4567, 0);
_sum = vfmaq_laneq_f32(_sum, _r10, _k4567, 1);
_sum = vfmaq_laneq_f32(_sum, _r11, _k4567, 2);
_sum = vfmaq_laneq_f32(_sum, _r12, _k4567, 3);
_sum = vfmaq_laneq_f32(_sum, _r13, _k891011, 0);
_sum = vfmaq_laneq_f32(_sum, _r14, _k891011, 1);
_sum = vfmaq_laneq_f32(_sum, _r20, _k891011, 2);
_sum = vfmaq_laneq_f32(_sum, _r21, _k891011, 3);
_sum = vfmaq_laneq_f32(_sum, _r22, _k12131415, 0);
_sum = vfmaq_laneq_f32(_sum, _r23, _k12131415, 1);
_sum = vfmaq_laneq_f32(_sum, _r24, _k12131415, 2);
_sum = vfmaq_laneq_f32(_sum, _r30, _k12131415, 3);
_sum = vfmaq_laneq_f32(_sum, _r31, _k16171819, 0);
_sum = vfmaq_laneq_f32(_sum, _r32, _k16171819, 1);
_sum = vfmaq_laneq_f32(_sum, _r33, _k16171819, 2);
_sum = vfmaq_laneq_f32(_sum, _r34, _k16171819, 3);
_sum = vfmaq_laneq_f32(_sum, _r40, _k20212223, 0);
_sum = vfmaq_laneq_f32(_sum, _r41, _k20212223, 1);
_sum = vfmaq_laneq_f32(_sum, _r42, _k20212223, 2);
_sum = vfmaq_laneq_f32(_sum, _r43, _k20212223, 3);
_sum = vfmaq_laneq_f32(_sum, _r44, _k24242424, 0);
_sum2 = vfmaq_laneq_f32(_sum2, _r10, _k0123, 0);
_sum2 = vfmaq_laneq_f32(_sum2, _r11, _k0123, 1);
_sum2 = vfmaq_laneq_f32(_sum2, _r12, _k0123, 2);
_sum2 = vfmaq_laneq_f32(_sum2, _r13, _k0123, 3);
_sum2 = vfmaq_laneq_f32(_sum2, _r14, _k4567, 0);
_sum2 = vfmaq_laneq_f32(_sum2, _r20, _k4567, 1);
_sum2 = vfmaq_laneq_f32(_sum2, _r21, _k4567, 2);
_sum2 = vfmaq_laneq_f32(_sum2, _r22, _k4567, 3);
_sum2 = vfmaq_laneq_f32(_sum2, _r23, _k891011, 0);
_sum2 = vfmaq_laneq_f32(_sum2, _r24, _k891011, 1);
_sum2 = vfmaq_laneq_f32(_sum2, _r30, _k891011, 2);
_sum2 = vfmaq_laneq_f32(_sum2, _r31, _k891011, 3);
_sum2 = vfmaq_laneq_f32(_sum2, _r32, _k12131415, 0);
_sum2 = vfmaq_laneq_f32(_sum2, _r33, _k12131415, 1);
_sum2 = vfmaq_laneq_f32(_sum2, _r34, _k12131415, 2);
_sum2 = vfmaq_laneq_f32(_sum2, _r40, _k12131415, 3);
_sum2 = vfmaq_laneq_f32(_sum2, _r41, _k16171819, 0);
_sum2 = vfmaq_laneq_f32(_sum2, _r42, _k16171819, 1);
_sum2 = vfmaq_laneq_f32(_sum2, _r43, _k16171819, 2);
_sum2 = vfmaq_laneq_f32(_sum2, _r44, _k16171819, 3);
_sum2 = vfmaq_laneq_f32(_sum2, _r50, _k20212223, 0);
_sum2 = vfmaq_laneq_f32(_sum2, _r51, _k20212223, 1);
_sum2 = vfmaq_laneq_f32(_sum2, _r52, _k20212223, 2);
_sum2 = vfmaq_laneq_f32(_sum2, _r53, _k20212223, 3);
_sum2 = vfmaq_laneq_f32(_sum2, _r54, _k24242424, 0);
vst1q_f32(outptr, _sum);
vst1q_f32(outptr2, _sum2);
r0 += 4;
r1 += 4;
r2 += 4;
r3 += 4;
r4 += 4;
r5 += 4;
outptr += 4;
outptr2 += 4;
}
#else
if (nn > 0)
{
asm volatile(
// "veor q13, q13 \n"
// "veor q14, q14 \n"
"pld [%1, #128] \n"
"vld1.f32 {d14-d15}, [%1] \n"// q7 = out
"0: \n"
// q11 = rx1 / rx3
// q12 = rx2
// q13 q14 = intermediate sum register
"pld [%2, #128] \n"
"vld1.f32 {d16-d17}, [%2] \n"// q8 = out2
"pld [%4, #256] \n"
// r1
"vld1.f32 {d18-d21}, [%4] \n"// q9 q10 = r10 r14
"add %4, #16 \n"
"vext.32 q11, q9, q10, #1 \n"// r11
"vmul.f32 q13, q9, %e19[1] \n"
"vmla.f32 q8, q9, %e18[0] \n"
"vext.32 q12, q9, q10, #2 \n"// r12
"vmla.f32 q7, q11, %f19[0] \n"
"vmul.f32 q14, q11, %e18[1] \n"
"vext.32 q11, q9, q10, #3 \n"// r13
"vmla.f32 q13, q12, %f19[1] \n"
"vmla.f32 q8, q12, %f18[0] \n"
"vmla.f32 q7, q11, %e20[0] \n"
"vmla.f32 q14, q11, %f18[1] \n"
"pld [%5, #256] \n"
"vmla.f32 q13, q10, %e20[1] \n"
"vmla.f32 q8, q10, %e19[0] \n"
// r2
"vld1.f32 {d18-d21}, [%5] \n"// q9 q10 = r20 r24
"add %5, #16 \n"
"vext.32 q11, q9, q10, #1 \n"// r21
"vmla.f32 q7, q9, %f20[0] \n"
"vmla.f32 q14, q9, %e19[1] \n"
"vext.32 q12, q9, q10, #2 \n"// r22
"vmla.f32 q13, q11, %f20[1] \n"
"vmla.f32 q8, q11, %f19[0] \n"
"vext.32 q11, q9, q10, #3 \n"// r23
"vmla.f32 q7, q12, %e21[0] \n"
"vmla.f32 q14, q12, %f19[1] \n"
"vmla.f32 q13, q11, %e21[1] \n"
"vmla.f32 q8, q11, %e20[0] \n"
"pld [%6, #256] \n"
"vmla.f32 q7, q10, %f21[0] \n"
"vmla.f32 q14, q10, %e20[1] \n"
// r3
"vld1.f32 {d18-d21}, [%6] \n"// q9 q10 = r30 r34
"add %6, #16 \n"
"vext.32 q11, q9, q10, #1 \n"// r31
"vmla.f32 q13, q9, %f21[1] \n"
"vmla.f32 q8, q9, %f20[0] \n"
"vext.32 q12, q9, q10, #2 \n"// r32
"vmla.f32 q7, q11, %e22[0] \n"
"vmla.f32 q14, q11, %f20[1] \n"
"vext.32 q11, q9, q10, #3 \n"// r33
"vmla.f32 q13, q12, %e22[1] \n"
"vmla.f32 q8, q12, %e21[0] \n"
"vmla.f32 q7, q11, %f22[0] \n"
"vmla.f32 q14, q11, %e21[1] \n"
"pld [%7, #256] \n"
"vmla.f32 q13, q10, %f22[1] \n"
"vmla.f32 q8, q10, %f21[0] \n"
// r4
"vld1.f32 {d18-d21}, [%7] \n"// q9 q10 = r40 r44
"add %7, #16 \n"
"vext.32 q11, q9, q10, #1 \n"// r41
"vmla.f32 q7, q9, %e23[0] \n"
"vmla.f32 q14, q9, %f21[1] \n"
"vext.32 q12, q9, q10, #2 \n"// r42
"vmla.f32 q13, q11, %e23[1] \n"
"vmla.f32 q8, q11, %e22[0] \n"
"vext.32 q11, q9, q10, #3 \n"// r43
"vmla.f32 q7, q12, %f23[0] \n"
"vmla.f32 q14, q12, %e22[1] \n"
"vmla.f32 q13, q11, %f23[1] \n"
"vmla.f32 q8, q11, %f22[0] \n"
"pld [%3, #256] \n"
"vmla.f32 q7, q10, %e24[0] \n"
"vmla.f32 q14, q10, %f22[1] \n"
// r0 and r5
"vld1.f32 {d18-d21}, [%3] \n"// q9 q10 = r00 r04
"add %3, #16 \n"
"vext.32 q11, q9, q10, #1 \n"// r01
"vmla.f32 q13, q11, %e18[1] \n"
"vext.32 q12, q9, q10, #2 \n"// r02
"vmla.f32 q7, q12, %f18[0] \n"
"vext.32 q11, q9, q10, #3 \n"// r03
"pld [%8, #256] \n"
"vmla.f32 q13, q11, %f18[1] \n"
// r5
"vld1.f32 {d22-d25}, [%8] \n"// q11 q12 = r50 r54
"add %8, #16 \n"
"vmla.f32 q8, q11, %e23[0] \n"
"vmla.f32 q14, q12, %e24[0] \n"
"vmla.f32 q7, q9, %e18[0] \n"
"vmla.f32 q13, q10, %e19[0] \n"
"vext.32 q9, q11, q12, #1 \n"// r51
"vext.32 q10, q11, q12, #2 \n"// r52
"vmla.f32 q14, q9, %e23[1] \n"
"vext.32 q9, q11, q12, #3 \n"// r53
"vmla.f32 q8, q10, %f23[0] \n"
"vmla.f32 q14, q9, %f23[1] \n"
"vadd.f32 q7, q7, q13 \n"
// "veor q13, q13 \n"
"vst1.f32 {d14-d15}, [%1]! \n"
"vadd.f32 q8, q8, q14 \n"
"pld [%1, #128] \n"
"vld1.f32 {d14-d15}, [%1] \n"// q7 = out
// "veor q14, q14 \n"
"vst1.f32 {d16-d17}, [%2]! \n"
"subs %0, #1 \n"
"bne 0b \n"
: "=r"(nn), // %0
"=r"(outptr), // %1
"=r"(outptr2), // %2
"=r"(r0), // %3
"=r"(r1), // %4
"=r"(r2), // %5
"=r"(r3), // %6
"=r"(r4), // %7
"=r"(r5) // %8
: "0"(nn),
"1"(outptr),
"2"(outptr2),
"3"(r0),
"4"(r1),
"5"(r2),
"6"(r3),
"7"(r4),
"8"(r5),
"w"(_k0123), // %18
"w"(_k4567), // %19
"w"(_k891011), // %20
"w"(_k12131415), // %21
"w"(_k16171819), // %22
"w"(_k20212223), // %23
"w"(_k24242424) // %24
: "cc", "memory", "q7", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15"
);
}
#endif // __aarch64__
#endif // __ARM_NEON
for (; remain>0; remain--)
{
float sum = 0;
float sum2 = 0;
#if __ARM_NEON
float32x4_t _r1 = vld1q_f32(r1);
float32x4_t _k1 = vld1q_f32(k1);
float32x4_t _sum = vmulq_f32(_r1, _k1);
float32x4_t _sum2 = vmulq_f32(_r1, _k0123);
float32x4_t _r2 = vld1q_f32(r2);
float32x4_t _k2 = vld1q_f32(k2);
_sum = vmlaq_f32(_sum, _r2, _k2);
_sum2 = vmlaq_f32(_sum2, _r2, _k1);
float32x4_t _r3 = vld1q_f32(r3);
float32x4_t _k3 = vld1q_f32(k3);
_sum = vmlaq_f32(_sum, _r3, _k3);
_sum2 = vmlaq_f32(_sum2, _r3, _k2);
float32x4_t _r4 = vld1q_f32(r4);
_sum = vmlaq_f32(_sum, _r4, _k20212223);
_sum2 = vmlaq_f32(_sum2, _r4, _k3);
float32x4_t _r0 = vld1q_f32(r0);
_sum = vmlaq_f32(_sum, _r0, _k0123);
float32x4_t _r5 = vld1q_f32(r5);
_sum2 = vmlaq_f32(_sum2, _r5, _k20212223);
float32x4_t _k_t4;
_k_t4 = vsetq_lane_f32(k0[4], _k_t4, 0);
_k_t4 = vsetq_lane_f32(k1[4], _k_t4, 1);
_k_t4 = vsetq_lane_f32(k2[4], _k_t4, 2);
_k_t4 = vsetq_lane_f32(k3[4], _k_t4, 3);
float32x4_t _r_t4;
_r_t4 = vsetq_lane_f32(r0[4], _r_t4, 0);
_r_t4 = vsetq_lane_f32(r1[4], _r_t4, 1);
_r_t4 = vsetq_lane_f32(r2[4], _r_t4, 2);
_r_t4 = vsetq_lane_f32(r3[4], _r_t4, 3);
_sum = vmlaq_f32(_sum, _r_t4, _k_t4);
sum = r4[4] * k4[4];
_r_t4 = vextq_f32(_r_t4, _r_t4, 1);
_r_t4 = vsetq_lane_f32(r4[4], _r_t4, 3);
_sum2 = vmlaq_f32(_sum2, _r_t4, _k_t4);
sum2 = r5[4] * k4[4];
float32x2_t _ss = vadd_f32(vget_low_f32(_sum), vget_high_f32(_sum));
float32x2_t _ss2 = vadd_f32(vget_low_f32(_sum2), vget_high_f32(_sum2));
float32x2_t _ss_ss2 = vpadd_f32(_ss, _ss2);
sum += vget_lane_f32(_ss_ss2, 0);
sum2 += vget_lane_f32(_ss_ss2, 1);
#else
if (cached_map[outptr - out]) {
sum += r0[0] * k0[0];
sum += r0[1] * k0[1];
sum += r0[2] * k0[2];
sum += r0[3] * k0[3];
sum += r0[4] * k0[4];
sum += r1[0] * k1[0];
sum += r1[1] * k1[1];
sum += r1[2] * k1[2];
sum += r1[3] * k1[3];
sum += r1[4] * k1[4];
sum += r2[0] * k2[0];
sum += r2[1] * k2[1];
sum += r2[2] * k2[2];
sum += r2[3] * k2[3];
sum += r2[4] * k2[4];
sum += r3[0] * k3[0];
sum += r3[1] * k3[1];
sum += r3[2] * k3[2];
sum += r3[3] * k3[3];
sum += r3[4] * k3[4];
sum += r4[0] * k4[0];
sum += r4[1] * k4[1];
sum += r4[2] * k4[2];
sum += r4[3] * k4[3];
sum += r4[4] * k4[4];
}
if (cached_map[outptr2 - out]) {
sum2 += r1[0] * k0[0];
sum2 += r1[1] * k0[1];
sum2 += r1[2] * k0[2];
sum2 += r1[3] * k0[3];
sum2 += r1[4] * k0[4];
sum2 += r2[0] * k1[0];
sum2 += r2[1] * k1[1];
sum2 += r2[2] * k1[2];
sum2 += r2[3] * k1[3];
sum2 += r2[4] * k1[4];
sum2 += r3[0] * k2[0];
sum2 += r3[1] * k2[1];
sum2 += r3[2] * k2[2];
sum2 += r3[3] * k2[3];
sum2 += r3[4] * k2[4];
sum2 += r4[0] * k3[0];
sum2 += r4[1] * k3[1];
sum2 += r4[2] * k3[2];
sum2 += r4[3] * k3[3];
sum2 += r4[4] * k3[4];
sum2 += r5[0] * k4[0];
sum2 += r5[1] * k4[1];
sum2 += r5[2] * k4[2];
sum2 += r5[3] * k4[3];
sum2 += r5[4] * k4[4];
}
#endif // __ARM_NEON
*outptr += sum;
*outptr2 += sum2;
r0++;
r1++;
r2++;
r3++;
r4++;
r5++;
outptr++;
outptr2++;
}
r0 += 4 + w;
r1 += 4 + w;
r2 += 4 + w;
r3 += 4 + w;
r4 += 4 + w;
r5 += 4 + w;
outptr += outw;
outptr2 += outw;
}
for (; i < outh; i++)
{
#if __ARM_NEON
int nn = outw >> 2;
int remain = outw - (nn << 2);
#else
int remain = outw;
#endif // __ARM_NEON
#if __ARM_NEON
#if __aarch64__
for (; nn>0; nn--)
{
float32x4_t _sum = vld1q_f32(outptr);
float32x4_t _r00 = vld1q_f32(r0);
float32x4_t _r04 = vld1q_f32(r0 + 4);
float32x4_t _r01 = vextq_f32(_r00, _r04, 1);
float32x4_t _r02 = vextq_f32(_r00, _r04, 2);
float32x4_t _r03 = vextq_f32(_r00, _r04, 3);
float32x4_t _r10 = vld1q_f32(r1);
float32x4_t _r14 = vld1q_f32(r1 + 4);
float32x4_t _r11 = vextq_f32(_r10, _r14, 1);
float32x4_t _r12 = vextq_f32(_r10, _r14, 2);
float32x4_t _r13 = vextq_f32(_r10, _r14, 3);
float32x4_t _r20 = vld1q_f32(r2);
float32x4_t _r24 = vld1q_f32(r2 + 4);
float32x4_t _r21 = vextq_f32(_r20, _r24, 1);
float32x4_t _r22 = vextq_f32(_r20, _r24, 2);
float32x4_t _r23 = vextq_f32(_r20, _r24, 3);
float32x4_t _r30 = vld1q_f32(r3);
float32x4_t _r34 = vld1q_f32(r3 + 4);
float32x4_t _r31 = vextq_f32(_r30, _r34, 1);
float32x4_t _r32 = vextq_f32(_r30, _r34, 2);
float32x4_t _r33 = vextq_f32(_r30, _r34, 3);
float32x4_t _r40 = vld1q_f32(r4);
float32x4_t _r44 = vld1q_f32(r4 + 4);
float32x4_t _r41 = vextq_f32(_r40, _r44, 1);
float32x4_t _r42 = vextq_f32(_r40, _r44, 2);
float32x4_t _r43 = vextq_f32(_r40, _r44, 3);
_sum = vfmaq_laneq_f32(_sum, _r00, _k0123, 0);
_sum = vfmaq_laneq_f32(_sum, _r01, _k0123, 1);
_sum = vfmaq_laneq_f32(_sum, _r02, _k0123, 2);
_sum = vfmaq_laneq_f32(_sum, _r03, _k0123, 3);
_sum = vfmaq_laneq_f32(_sum, _r04, _k4567, 0);
_sum = vfmaq_laneq_f32(_sum, _r10, _k4567, 1);
_sum = vfmaq_laneq_f32(_sum, _r11, _k4567, 2);
_sum = vfmaq_laneq_f32(_sum, _r12, _k4567, 3);
_sum = vfmaq_laneq_f32(_sum, _r13, _k891011, 0);
_sum = vfmaq_laneq_f32(_sum, _r14, _k891011, 1);
_sum = vfmaq_laneq_f32(_sum, _r20, _k891011, 2);
_sum = vfmaq_laneq_f32(_sum, _r21, _k891011, 3);
_sum = vfmaq_laneq_f32(_sum, _r22, _k12131415, 0);
_sum = vfmaq_laneq_f32(_sum, _r23, _k12131415, 1);
_sum = vfmaq_laneq_f32(_sum, _r24, _k12131415, 2);
_sum = vfmaq_laneq_f32(_sum, _r30, _k12131415, 3);
_sum = vfmaq_laneq_f32(_sum, _r31, _k16171819, 0);
_sum = vfmaq_laneq_f32(_sum, _r32, _k16171819, 1);
_sum = vfmaq_laneq_f32(_sum, _r33, _k16171819, 2);
_sum = vfmaq_laneq_f32(_sum, _r34, _k16171819, 3);
_sum = vfmaq_laneq_f32(_sum, _r40, _k20212223, 0);
_sum = vfmaq_laneq_f32(_sum, _r41, _k20212223, 1);
_sum = vfmaq_laneq_f32(_sum, _r42, _k20212223, 2);
_sum = vfmaq_laneq_f32(_sum, _r43, _k20212223, 3);
_sum = vfmaq_laneq_f32(_sum, _r44, _k24242424, 0);
vst1q_f32(outptr, _sum);
r0 += 4;
r1 += 4;
r2 += 4;
r3 += 4;
r4 += 4;
outptr += 4;
}
#else
if (nn > 0)
{
asm volatile(
// "veor q15, q15 \n"// _sum3 = 0;
"pld [%1, #128] \n"
"pld [%2, #256] \n"
"vld1.f32 {d16-d19}, [%2] \n"// _r00 = vld1q_f32(r0+j);
"add %2, #16 \n"
"0: \n"
"vld1.f32 {d14-d15}, [%1] \n"// _sum = vld1q_f32(outptr+j);
"veor q13, q13 \n"// _sum2 = 0;
"veor q14, q14 \n"// _sum3 = 0;
"vext.32 q10, q8, q9, #1 \n"// _r01
"vext.32 q11, q8, q9, #2 \n"// _r02
"vext.32 q12, q8, q9, #3 \n"// _r03
"vmla.f32 q7, q8, %e14[0] \n"
"vmla.f32 q13, q10, %e14[1] \n"
"pld [%3, #256] \n"
"vmla.f32 q14, q11, %f14[0] \n"
"vmul.f32 q15, q12, %f14[1] \n"
"vmla.f32 q7, q9, %e15[0] \n"
"vld1.f32 {d16-d19}, [%3] \n"
"add %3, #16 \n"
"vext.32 q10, q8, q9, #1 \n"
"vext.32 q11, q8, q9, #2 \n"
"vext.32 q12, q8, q9, #3 \n"
"vmla.f32 q7, q8, %e15[1] \n"
"vmla.f32 q13, q10, %f15[0] \n"
"pld [%4, #256] \n"
"vmla.f32 q14, q11, %f15[1] \n"
"vmla.f32 q15, q12, %e16[0] \n"
"vmla.f32 q7, q9, %e16[1] \n"
"vld1.f32 {d16-d19}, [%4] \n"
"add %4, #16 \n"
"vext.32 q10, q8, q9, #1 \n"
"vext.32 q11, q8, q9, #2 \n"
"vext.32 q12, q8, q9, #3 \n"
"vmla.f32 q7, q8, %f16[0] \n"
"vmla.f32 q13, q10, %f16[1] \n"
"pld [%5, #256] \n"
"vmla.f32 q14, q11, %e17[0] \n"
"vmla.f32 q15, q12, %e17[1] \n"
"vmla.f32 q7, q9, %f17[0] \n"
"vld1.f32 {d16-d19}, [%5] \n"
"add %5, #16 \n"
"vext.32 q10, q8, q9, #1 \n"
"vext.32 q11, q8, q9, #2 \n"
"vext.32 q12, q8, q9, #3 \n"
"vmla.f32 q7, q8, %f17[1] \n"
"vmla.f32 q13, q10, %e18[0] \n"
"pld [%6, #256] \n"
"vmla.f32 q14, q11, %e18[1] \n"
"vmla.f32 q15, q12, %f18[0] \n"
"vmla.f32 q7, q9, %f18[1] \n"
"vld1.f32 {d16-d19}, [%6] \n"
"add %6, #16 \n"
"vext.32 q10, q8, q9, #1 \n"
"vext.32 q11, q8, q9, #2 \n"
"vext.32 q12, q8, q9, #3 \n"
"vmla.f32 q7, q8, %e19[0] \n"
"vmla.f32 q13, q10, %e19[1] \n"
"vmla.f32 q14, q11, %f19[0] \n"
"vmla.f32 q15, q12, %f19[1] \n"
"vmla.f32 q7, q9, %e20[0] \n"
"vadd.f32 q14, q14, q15 \n"
"vadd.f32 q7, q7, q13 \n"
// "veor q15, q15 \n"// _sum3 = 0;
"pld [%2, #256] \n"
"vadd.f32 q7, q7, q14 \n"
"vld1.f32 {d16-d19}, [%2] \n"// _r00 = vld1q_f32(r0+j);
"add %2, #16 \n"
"vst1.f32 {d14-d15}, [%1]! \n"
"pld [%1, #128] \n"
"subs %0, #1 \n"
"bne 0b \n"
"sub %2, #16 \n"
: "=r"(nn), // %0
"=r"(outptr), // %1
"=r"(r0), // %2
"=r"(r1), // %3
"=r"(r2), // %4
"=r"(r3), // %5
"=r"(r4) // %6
: "0"(nn),
"1"(outptr),
"2"(r0),
"3"(r1),
"4"(r2),
"5"(r3),
"6"(r4),
"w"(_k0123), // %14
"w"(_k4567), // %15
"w"(_k891011), // %16
"w"(_k12131415), // %17
"w"(_k16171819), // %18
"w"(_k20212223), // %19
"w"(_k24242424) // %20
: "cc", "memory", "q7", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15"
);
}
#endif // __aarch64__
#endif // __ARM_NEON
for (; remain>0; remain--)
{
float sum = 0;
#if __ARM_NEON
float32x4_t _r0 = vld1q_f32(r0);
float32x4_t _sum = vmulq_f32(_r0, _k0123);
float32x4_t _r1 = vld1q_f32(r1);
_sum = vmlaq_f32(_sum, _r1, vld1q_f32(k1));
float32x4_t _r2 = vld1q_f32(r2);
_sum = vmlaq_f32(_sum, _r2, vld1q_f32(k2));
float32x4_t _r3 = vld1q_f32(r3);
_sum = vmlaq_f32(_sum, _r3, vld1q_f32(k3));
float32x4_t _r4 = vld1q_f32(r4);
_sum = vmlaq_f32(_sum, _r4, _k20212223);
float32x4_t _k_t4;
_k_t4 = vsetq_lane_f32(k0[4], _k_t4, 0);
_k_t4 = vsetq_lane_f32(k1[4], _k_t4, 1);
_k_t4 = vsetq_lane_f32(k2[4], _k_t4, 2);
_k_t4 = vsetq_lane_f32(k3[4], _k_t4, 3);
float32x4_t _r_t4;
_r_t4 = vsetq_lane_f32(r0[4], _r_t4, 0);
_r_t4 = vsetq_lane_f32(r1[4], _r_t4, 1);
_r_t4 = vsetq_lane_f32(r2[4], _r_t4, 2);
_r_t4 = vsetq_lane_f32(r3[4], _r_t4, 3);
_sum = vmlaq_f32(_sum, _r_t4, _k_t4);
sum = r4[4] * k4[4];
float32x2_t _ss = vadd_f32(vget_low_f32(_sum), vget_high_f32(_sum));
_ss = vpadd_f32(_ss, _ss);
sum += vget_lane_f32(_ss, 0);
#else
if (cached_map[outptr - out]) {
sum += r0[0] * k0[0];
sum += r0[1] * k0[1];
sum += r0[2] * k0[2];
sum += r0[3] * k0[3];
sum += r0[4] * k0[4];
sum += r1[0] * k1[0];
sum += r1[1] * k1[1];
sum += r1[2] * k1[2];
sum += r1[3] * k1[3];
sum += r1[4] * k1[4];
sum += r2[0] * k2[0];
sum += r2[1] * k2[1];
sum += r2[2] * k2[2];
sum += r2[3] * k2[3];
sum += r2[4] * k2[4];
sum += r3[0] * k3[0];
sum += r3[1] * k3[1];
sum += r3[2] * k3[2];
sum += r3[3] * k3[3];
sum += r3[4] * k3[4];
sum += r4[0] * k4[0];
sum += r4[1] * k4[1];
sum += r4[2] * k4[2];
sum += r4[3] * k4[3];
sum += r4[4] * k4[4];
}
#endif
*outptr += sum;
r0++;
r1++;
r2++;
r3++;
r4++;
outptr++;
}
r0 += 4;
r1 += 4;
r2 += 4;
r3 += 4;
r4 += 4;
}
}
}
}
static void conv5x5s2_neon_cached(
const Mat& bottom_blob, Mat& top_blob, const Mat& _kernel, const Mat& _bias, bool* cached_map)
{
int w = bottom_blob.w;
int h = bottom_blob.h;
int inch = bottom_blob.c;
int outw = top_blob.w;
int outh = top_blob.h;
int outch = top_blob.c;
const int tailstep = w - 2*outw + w;
const float* kernel = _kernel;
// const float* bias = _bias;
#pragma omp parallel for
for (int p=0; p<outch; p++)
{
Mat out = top_blob.channel(p);
// const float bias0 = bias ? bias[p] : 0.f;
// out.fill(bias0);
for (int q=0; q<inch; q++)
{
float* outptr = out;
const float* img0 = bottom_blob.channel(q);
const float* kernel0 = kernel + p*inch*25 + q*25;
const float* r0 = img0;
const float* r1 = img0 + w;
const float* r2 = img0 + w*2;
const float* r3 = img0 + w*3;
const float* r4 = img0 + w*4;
const float* k0 = kernel0;
const float* k1 = kernel0 + 5;
const float* k2 = kernel0 + 10;
const float* k3 = kernel0 + 15;
const float* k4 = kernel0 + 20;
#if __ARM_NEON
float32x4_t _k0123 = vld1q_f32(kernel0);
float32x4_t _k4567 = vld1q_f32(kernel0+4);
float32x4_t _k891011 = vld1q_f32(kernel0+8);
float32x4_t _k12131415 = vld1q_f32(kernel0+12);
float32x4_t _k16171819 = vld1q_f32(kernel0+16);
float32x4_t _k20212223 = vld1q_f32(kernel0+20);
float32x4_t _k24242424 = vdupq_n_f32(kernel0[24]);
#endif // __ARM_NEON
for (int i = 0; i < outh; i++)
{
#if __ARM_NEON
int nn = outw >> 2;
int remain = outw - (nn << 2);
#else
int remain = outw;
#endif // __ARM_NEON
#if __ARM_NEON
#if __aarch64__
for (; nn>0; nn--)
{
float32x4_t _sum = vld1q_f32(outptr);
float32x4x2_t _r00_02461357 = vld2q_f32(r0);
float32x4x2_t _r00nx2 = vld2q_f32(r0 + 8);
float32x4_t _r0_8101214 = _r00nx2.val[0];// 8 10 12 14
float32x4_t _r0_9111315 = _r00nx2.val[1];// 9 11 13 15
float32x4_t _r00 = _r00_02461357.val[0];// 0 2 4 6
float32x4_t _r01 = _r00_02461357.val[1];// 1 3 5 7
float32x4_t _r02 = vextq_f32(_r00, _r0_8101214, 1);// 2 4 6 8
float32x4_t _r03 = vextq_f32(_r01, _r0_9111315, 1);// 3 5 7 9
float32x4_t _r04 = vextq_f32(_r00, _r0_8101214, 2);// 4 6 8 10
float32x4x2_t _r10_02461357 = vld2q_f32(r1);
float32x4x2_t _r10nx2 = vld2q_f32(r1 + 8);
float32x4_t _r1_8101214 = _r10nx2.val[0];
float32x4_t _r1_9111315 = _r10nx2.val[1];
float32x4_t _r10 = _r10_02461357.val[0];
float32x4_t _r11 = _r10_02461357.val[1];
float32x4_t _r12 = vextq_f32(_r10, _r1_8101214, 1);
float32x4_t _r13 = vextq_f32(_r11, _r1_9111315, 1);
float32x4_t _r14 = vextq_f32(_r10, _r1_8101214, 2);
float32x4x2_t _r20_02461357 = vld2q_f32(r2);
float32x4x2_t _r20nx2 = vld2q_f32(r2 + 8);
float32x4_t _r2_8101214 = _r20nx2.val[0];
float32x4_t _r2_9111315 = _r20nx2.val[1];
float32x4_t _r20 = _r20_02461357.val[0];
float32x4_t _r21 = _r20_02461357.val[1];
float32x4_t _r22 = vextq_f32(_r20, _r2_8101214, 1);
float32x4_t _r23 = vextq_f32(_r21, _r2_9111315, 1);
float32x4_t _r24 = vextq_f32(_r20, _r2_8101214, 2);
float32x4x2_t _r30_02461357 = vld2q_f32(r3);
float32x4x2_t _r30nx2 = vld2q_f32(r3 + 8);
float32x4_t _r3_8101214 = _r30nx2.val[0];
float32x4_t _r3_9111315 = _r30nx2.val[1];
float32x4_t _r30 = _r30_02461357.val[0];
float32x4_t _r31 = _r30_02461357.val[1];
float32x4_t _r32 = vextq_f32(_r30, _r3_8101214, 1);
float32x4_t _r33 = vextq_f32(_r31, _r3_9111315, 1);
float32x4_t _r34 = vextq_f32(_r30, _r3_8101214, 2);
float32x4x2_t _r40_02461357 = vld2q_f32(r4);
float32x4x2_t _r40nx2 = vld2q_f32(r4 + 8);
float32x4_t _r4_8101214 = _r40nx2.val[0];
float32x4_t _r4_9111315 = _r40nx2.val[1];
float32x4_t _r40 = _r40_02461357.val[0];
float32x4_t _r41 = _r40_02461357.val[1];
float32x4_t _r42 = vextq_f32(_r40, _r4_8101214, 1);
float32x4_t _r43 = vextq_f32(_r41, _r4_9111315, 1);
float32x4_t _r44 = vextq_f32(_r40, _r4_8101214, 2);
_sum = vfmaq_laneq_f32(_sum, _r00, _k0123, 0);
_sum = vfmaq_laneq_f32(_sum, _r01, _k0123, 1);
_sum = vfmaq_laneq_f32(_sum, _r02, _k0123, 2);
_sum = vfmaq_laneq_f32(_sum, _r03, _k0123, 3);
_sum = vfmaq_laneq_f32(_sum, _r04, _k4567, 0);
_sum = vfmaq_laneq_f32(_sum, _r10, _k4567, 1);
_sum = vfmaq_laneq_f32(_sum, _r11, _k4567, 2);
_sum = vfmaq_laneq_f32(_sum, _r12, _k4567, 3);
_sum = vfmaq_laneq_f32(_sum, _r13, _k891011, 0);
_sum = vfmaq_laneq_f32(_sum, _r14, _k891011, 1);
_sum = vfmaq_laneq_f32(_sum, _r20, _k891011, 2);
_sum = vfmaq_laneq_f32(_sum, _r21, _k891011, 3);
_sum = vfmaq_laneq_f32(_sum, _r22, _k12131415, 0);
_sum = vfmaq_laneq_f32(_sum, _r23, _k12131415, 1);
_sum = vfmaq_laneq_f32(_sum, _r24, _k12131415, 2);
_sum = vfmaq_laneq_f32(_sum, _r30, _k12131415, 3);
_sum = vfmaq_laneq_f32(_sum, _r31, _k16171819, 0);
_sum = vfmaq_laneq_f32(_sum, _r32, _k16171819, 1);
_sum = vfmaq_laneq_f32(_sum, _r33, _k16171819, 2);
_sum = vfmaq_laneq_f32(_sum, _r34, _k16171819, 3);
_sum = vfmaq_laneq_f32(_sum, _r40, _k20212223, 0);
_sum = vfmaq_laneq_f32(_sum, _r41, _k20212223, 1);
_sum = vfmaq_laneq_f32(_sum, _r42, _k20212223, 2);
_sum = vfmaq_laneq_f32(_sum, _r43, _k20212223, 3);
_sum = vfmaq_laneq_f32(_sum, _r44, _k24242424, 0);
vst1q_f32(outptr, _sum);
r0 += 8;
r1 += 8;
r2 += 8;
r3 += 8;
r4 += 8;
outptr += 4;
}
#else
if (nn > 0)
{
asm volatile(
"veor q15, q15 \n"// _sump3 = 0;
"pld [%1, #128] \n"
"veor q13, q13 \n"// _sump2 = 0;
"pld [%2, #256] \n"
"veor q14, q14 \n"// _sump3 = 0;
"vld2.f32 {d16-d19}, [%2]! \n"// q8 = 0 2 4 6 q9 = 1 3 5 7
"pld [%2, #256] \n"
"vld2.f32 {d20-d23}, [%2] \n"// q10 = 8 10 12 14 q11 = 9 11 13 15
"0: \n"
"vld1.f32 {d14-d15}, [%1] \n"// q7 = outptr
"vext.32 q12, q8, q10, #1 \n"// q12 = 2 4 6 8
"vext.32 q11, q9, q11, #1 \n"// q11 = 3 5 7 9
"vext.32 q10, q8, q10, #2 \n"// q10 = 4 6 8 10
"vmla.f32 q7, q8, %e14[0] \n"
"vmla.f32 q13, q9, %e14[1] \n"
"pld [%3, #256] \n"
"vmla.f32 q14, q12, %f14[0] \n"
"vmla.f32 q15, q11, %f14[1] \n"
"vmla.f32 q7, q10, %e15[0] \n"
"vld2.f32 {d16-d19}, [%3]! \n"
"pld [%3, #256] \n"
"vld2.f32 {d20-d23}, [%3] \n"
"vext.32 q12, q8, q10, #1 \n"
"vext.32 q11, q9, q11, #1 \n"
"vext.32 q10, q8, q10, #2 \n"
"vmla.f32 q7, q8, %e15[1] \n"
"vmla.f32 q13, q9, %f15[0] \n"
"pld [%4, #256] \n"
"vmla.f32 q14, q12, %f15[1] \n"
"vmla.f32 q15, q11, %e16[0] \n"
"vmla.f32 q7, q10, %e16[1] \n"
"vld2.f32 {d16-d19}, [%4]! \n"
"pld [%4, #256] \n"
"vld2.f32 {d20-d23}, [%4] \n"
"vext.32 q12, q8, q10, #1 \n"
"vext.32 q11, q9, q11, #1 \n"
"vext.32 q10, q8, q10, #2 \n"
"vmla.f32 q7, q8, %f16[0] \n"
"vmla.f32 q13, q9, %f16[1] \n"
"pld [%5, #256] \n"
"vmla.f32 q14, q12, %e17[0] \n"
"vmla.f32 q15, q11, %e17[1] \n"
"vmla.f32 q7, q10, %f17[0] \n"
"vld2.f32 {d16-d19}, [%5]! \n"
"pld [%5, #256] \n"
"vld2.f32 {d20-d23}, [%5] \n"
"vext.32 q12, q8, q10, #1 \n"
"vext.32 q11, q9, q11, #1 \n"
"vext.32 q10, q8, q10, #2 \n"
"vmla.f32 q7, q8, %f17[1] \n"
"vmla.f32 q13, q9, %e18[0] \n"
"pld [%6, #256] \n"
"vmla.f32 q14, q12, %e18[1] \n"
"vmla.f32 q15, q11, %f18[0] \n"
"vmla.f32 q7, q10, %f18[1] \n"
"vld2.f32 {d16-d19}, [%6]! \n"
"pld [%6, #256] \n"
"vld2.f32 {d20-d23}, [%6] \n"
"vext.32 q12, q8, q10, #1 \n"
"vext.32 q11, q9, q11, #1 \n"
"vext.32 q10, q8, q10, #2 \n"
"vmla.f32 q7, q8, %e19[0] \n"
"vmla.f32 q13, q9, %e19[1] \n"
"vmla.f32 q14, q12, %f19[0] \n"
"vmla.f32 q15, q11, %f19[1] \n"
"vmla.f32 q7, q10, %e20[0] \n"
"pld [%2, #256] \n"
"vld2.f32 {d16-d19}, [%2]! \n"// q8 = 0 2 4 6 q9 = 1 3 5 7
"vadd.f32 q14, q14, q15 \n"
"vadd.f32 q7, q7, q13 \n"
"veor q15, q15 \n"// _sump3 = 0;
"veor q13, q13 \n"// _sump2 = 0;
"pld [%2, #256] \n"
"vadd.f32 q7, q7, q14 \n"
"vld2.f32 {d20-d23}, [%2] \n"// q10 = 8 10 12 14 q11 = 9 11 13 15
"veor q14, q14 \n"// _sump3 = 0;
"vst1.f32 {d14-d15}, [%1]! \n"
"pld [%1, #128] \n"
"subs %0, #1 \n"
"bne 0b \n"
"sub %2, #32 \n"
: "=r"(nn), // %0
"=r"(outptr), // %1
"=r"(r0), // %2
"=r"(r1), // %3
"=r"(r2), // %4
"=r"(r3), // %5
"=r"(r4) // %6
: "0"(nn),
"1"(outptr),
"2"(r0),
"3"(r1),
"4"(r2),
"5"(r3),
"6"(r4),
"w"(_k0123), // %14
"w"(_k4567), // %15
"w"(_k891011), // %16
"w"(_k12131415), // %17
"w"(_k16171819), // %18
"w"(_k20212223), // %19
"w"(_k24242424) // %20
: "cc", "memory", "q7", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15"
);
}
#endif // __aarch64__
#endif // __ARM_NEON
for (; remain>0; remain--)
{
float sum = 0;
#if __ARM_NEON
float32x4_t _r0 = vld1q_f32(r0);
float32x4_t _sum = vmulq_f32(_r0, _k0123);
float32x4_t _r1 = vld1q_f32(r1);
_sum = vmlaq_f32(_sum, _r1, vld1q_f32(k1));
float32x4_t _r2 = vld1q_f32(r2);
_sum = vmlaq_f32(_sum, _r2, vld1q_f32(k2));
float32x4_t _r3 = vld1q_f32(r3);
_sum = vmlaq_f32(_sum, _r3, vld1q_f32(k3));
float32x4_t _r4 = vld1q_f32(r4);
_sum = vmlaq_f32(_sum, _r4, _k20212223);
sum += r0[4] * k0[4];
sum += r1[4] * k1[4];
sum += r2[4] * k2[4];
sum += r3[4] * k3[4];
sum += r4[4] * k4[4];
float32x2_t _ss = vadd_f32(vget_low_f32(_sum), vget_high_f32(_sum));
_ss = vpadd_f32(_ss, _ss);
sum += vget_lane_f32(_ss, 0);
#else
if (cached_map[outptr - out]) {
sum += r0[0] * k0[0];
sum += r0[1] * k0[1];
sum += r0[2] * k0[2];
sum += r0[3] * k0[3];
sum += r0[4] * k0[4];
sum += r1[0] * k1[0];
sum += r1[1] * k1[1];
sum += r1[2] * k1[2];
sum += r1[3] * k1[3];
sum += r1[4] * k1[4];
sum += r2[0] * k2[0];
sum += r2[1] * k2[1];
sum += r2[2] * k2[2];
sum += r2[3] * k2[3];
sum += r2[4] * k2[4];
sum += r3[0] * k3[0];
sum += r3[1] * k3[1];
sum += r3[2] * k3[2];
sum += r3[3] * k3[3];
sum += r3[4] * k3[4];
sum += r4[0] * k4[0];
sum += r4[1] * k4[1];
sum += r4[2] * k4[2];
sum += r4[3] * k4[3];
sum += r4[4] * k4[4];
}
#endif
*outptr += sum;
r0 += 2;
r1 += 2;
r2 += 2;
r3 += 2;
r4 += 2;
outptr++;
}
r0 += tailstep;
r1 += tailstep;
r2 += tailstep;
r3 += tailstep;
r4 += tailstep;
}
}
}
}
#endif // NCNN_CNNCACHE |
mobord.c | #include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <omp.h>
#include "common.h"
static inline void _process(pixel_t pin[], pixel_t* p)
{
#define COMP(A, B) (memcmp((unsigned char*)&A, (unsigned char*)&B, 3 * sizeof(uint8_t)) == 0)
if(COMP(pin[0], pin[4]) && !COMP(pin[4], pin[8])
|| COMP(pin[1], pin[4]) && !COMP(pin[4], pin[7])
|| COMP(pin[2], pin[4]) && !COMP(pin[4], pin[6])
|| COMP(pin[3], pin[4]) && !COMP(pin[4], pin[5])
) {
static pixel_t black = { 0, 0, 0 };
*p = black;
return;
} else {
*p = pin[4];
return;
}
#undef COMP
}
typedef struct {
size_t i;
img_t in, out;
} tdata_t;
static void _tprocess(void* data)
{
tdata_t* mydata = (tdata_t*)data;
size_t j;
for(j = 0; j < mydata->in.w; ++j) {
pixel_t blank = A(mydata->in, mydata->i, j);
pixel_t square[9] = {
/* / 0, 1, 2 */
/* 0 */ blank, blank, blank,
/* 1 */ blank, A(mydata->in, mydata->i, j), blank,
/* 2 */ blank, blank, blank //
};
if(mydata->i > 0) {
if(j > 0) {
square[0] = A(mydata->in, mydata->i - 1, j - 1);
}
square[1] = A(mydata->in, mydata->i - 1, j);
if(j < mydata->in.w - 1) {
square[2] = A(mydata->in, mydata->i - 1, j + 1);
}
}
if(j > 0) {
square[3] = A(mydata->in, mydata->i, j - 1);
}
if(j < mydata->in.w - 1) {
square[5] = A(mydata->in, mydata->i, j + 1);
}
if(mydata->i < mydata->in.h - 1) {
if(j > 0) {
square[6] = A(mydata->in, mydata->i + 1, j - 1);
}
square[7] = A(mydata->in, mydata->i + 1, j);
if(j < mydata->in.w - 1) {
square[8] = A(mydata->in, mydata->i + 1, j + 1);
}
}
_process(square, &A(mydata->out, mydata->i, j));
}
free(mydata);
}
/** apply a colour transformation based on relationships between colour
components (RGB)
rules are added with recolour_addRule */
img_t mobord(img_t const img)
{
img_t ret = { img.w, img.h, (pixel_t*)malloc(img.w * img.h * sizeof(pixel_t)) };
size_t i, j;
extern img_t mosaic(img_t const);
img_t tmp = mosaic(img);
// process
#pragma omp parallel for
for(i = 0; i < img.h; ++i) {
tdata_t* data = (tdata_t*)malloc(sizeof(tdata_t));
data->i = i;
data->in = tmp;
data->out = ret;
_tprocess(data);
}
free(tmp.pixels);
return ret;
}
|
GB_binop__ge_int8.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__ge_int8)
// A.*B function (eWiseMult): GB (_AemultB_08__ge_int8)
// A.*B function (eWiseMult): GB (_AemultB_02__ge_int8)
// A.*B function (eWiseMult): GB (_AemultB_04__ge_int8)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__ge_int8)
// A*D function (colscale): GB (_AxD__ge_int8)
// D*A function (rowscale): GB (_DxB__ge_int8)
// C+=B function (dense accum): GB (_Cdense_accumB__ge_int8)
// C+=b function (dense accum): GB (_Cdense_accumb__ge_int8)
// C+=A+B function (dense ewise3): GB ((none))
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__ge_int8)
// C=scalar+B GB (_bind1st__ge_int8)
// C=scalar+B' GB (_bind1st_tran__ge_int8)
// C=A+scalar GB (_bind2nd__ge_int8)
// C=A'+scalar GB (_bind2nd_tran__ge_int8)
// C type: bool
// A type: int8_t
// B,b type: int8_t
// BinaryOp: cij = (aij >= bij)
#define GB_ATYPE \
int8_t
#define GB_BTYPE \
int8_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) \
int8_t aij = GBX (Ax, pA, A_iso)
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB,B_iso) \
int8_t bij = GBX (Bx, pB, B_iso)
// 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_GE || GxB_NO_INT8 || GxB_NO_GE_INT8)
//------------------------------------------------------------------------------
// 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
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_ewise3_noaccum__ge_int8)
(
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__ge_int8)
(
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__ge_int8)
(
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 int8_t
int8_t bwork = (*((int8_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__ge_int8)
(
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
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__ge_int8)
(
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
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__ge_int8)
(
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, C<M>=A.*B, or C<M!>=A.*B where C is sparse/hyper
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_08__ge_int8)
(
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__ge_int8)
(
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__ge_int8)
(
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__ge_int8)
(
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__ge_int8)
(
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 ;
int8_t x = (*((int8_t *) x_input)) ;
int8_t *Bx = (int8_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 ;
int8_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__ge_int8)
(
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 ;
int8_t *Ax = (int8_t *) Ax_input ;
int8_t y = (*((int8_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
int8_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) \
{ \
int8_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = (x >= aij) ; \
}
GrB_Info GB (_bind1st_tran__ge_int8)
(
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 \
int8_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int8_t x = (*((const int8_t *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
int8_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) \
{ \
int8_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = (aij >= y) ; \
}
GrB_Info GB (_bind2nd_tran__ge_int8)
(
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
int8_t y = (*((const int8_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
lapack_wrapper.c | /* Copyright (C) 2015 Atsushi Togo */
/* All rights reserved. */
/* This file is part of phonopy. */
/* 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 following disclaimer. */
/* * 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. */
/* * Neither the name of the phonopy project 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 THE */
/* COPYRIGHT HOLDER 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 "lapack_wrapper.h"
#define min(a, b) ((a) > (b) ? (b) : (a))
#if defined(MKL_LAPACKE) || defined(SCIPY_MKL_H)
MKL_Complex16 lapack_make_complex_double(double re, double im) {
MKL_Complex16 z;
z.real = re;
z.imag = im;
return z;
}
#ifndef LAPACKE_malloc
#define LAPACKE_malloc(size) malloc(size)
#endif
#ifndef LAPACKE_free
#define LAPACKE_free(p) free(p)
#endif
#endif
int phonopy_zheev(double *w, lapack_complex_double *a, const int n,
const char uplo) {
lapack_int info;
info = LAPACKE_zheev(LAPACK_ROW_MAJOR, 'V', uplo, (lapack_int)n, a,
(lapack_int)n, w);
return (int)info;
}
int phonopy_pinv(double *data_out, const double *data_in, const int m,
const int n, const double cutoff) {
int i, j, k;
lapack_int info;
double *s, *a, *u, *vt, *superb;
a = (double *)malloc(sizeof(double) * m * n);
s = (double *)malloc(sizeof(double) * min(m, n));
u = (double *)malloc(sizeof(double) * m * m);
vt = (double *)malloc(sizeof(double) * n * n);
superb = (double *)malloc(sizeof(double) * (min(m, n) - 1));
for (i = 0; i < m * n; i++) {
a[i] = data_in[i];
}
info = LAPACKE_dgesvd(LAPACK_ROW_MAJOR, 'A', 'A', (lapack_int)m,
(lapack_int)n, a, (lapack_int)n, s, u, (lapack_int)m,
vt, (lapack_int)n, superb);
for (i = 0; i < n * m; i++) {
data_out[i] = 0;
}
for (i = 0; i < m; i++) {
for (j = 0; j < n; j++) {
for (k = 0; k < min(m, n); k++) {
if (s[k] > cutoff) {
data_out[j * m + i] += u[i * m + k] / s[k] * vt[k * n + j];
}
}
}
}
free(a);
free(s);
free(u);
free(vt);
free(superb);
return (int)info;
}
void phonopy_pinv_mt(double *data_out, int *info_out, const double *data_in,
const int num_thread, const int *row_nums,
const int max_row_num, const int column_num,
const double cutoff) {
int i;
#ifdef _OPENMP
#pragma omp parallel for
#endif
for (i = 0; i < num_thread; i++) {
info_out[i] = phonopy_pinv(data_out + i * max_row_num * column_num,
data_in + i * max_row_num * column_num,
row_nums[i], column_num, cutoff);
}
}
int phonopy_dsyev(double *data, double *eigvals, const int size,
const int algorithm) {
lapack_int info;
lapack_int liwork;
long lwork;
lapack_int *iwork;
double *work;
lapack_int iwork_query;
double work_query;
info = 0;
liwork = -1;
lwork = -1;
iwork = NULL;
work = NULL;
switch (algorithm) {
case 0: /* dsyev */
info = LAPACKE_dsyev(LAPACK_COL_MAJOR, 'V', 'U', (lapack_int)size,
data, (lapack_int)size, eigvals);
break;
case 1: /* dsyevd */
info = LAPACKE_dsyevd_work(LAPACK_COL_MAJOR, 'V', 'U',
(lapack_int)size, data, (lapack_int)size,
eigvals, &work_query, lwork,
&iwork_query, liwork);
liwork = iwork_query;
lwork = (long)work_query;
/* printf("liwork %d, lwork %ld\n", liwork, lwork); */
if ((iwork = (lapack_int *)LAPACKE_malloc(sizeof(lapack_int) *
liwork)) == NULL) {
goto end;
};
if ((work = (double *)LAPACKE_malloc(sizeof(double) * lwork)) ==
NULL) {
goto end;
}
info = LAPACKE_dsyevd_work(LAPACK_COL_MAJOR, 'V', 'U',
(lapack_int)size, data, (lapack_int)size,
eigvals, work, lwork, iwork, liwork);
end:
if (iwork) {
LAPACKE_free(iwork);
iwork = NULL;
}
if (work) {
LAPACKE_free(work);
work = NULL;
}
/* info = LAPACKE_dsyevd(LAPACK_COL_MAJOR, */
/* 'V', */
/* 'U', */
/* (lapack_int)size, */
/* data, */
/* (lapack_int)size, */
/* eigvals); */
break;
}
return (int)info;
}
lapack_complex_double phonoc_complex_prod(const lapack_complex_double a,
const lapack_complex_double b) {
lapack_complex_double c;
c = lapack_make_complex_double(
lapack_complex_double_real(a) * lapack_complex_double_real(b) -
lapack_complex_double_imag(a) * lapack_complex_double_imag(b),
lapack_complex_double_imag(a) * lapack_complex_double_real(b) +
lapack_complex_double_real(a) * lapack_complex_double_imag(b));
return c;
}
|
GB_binop__min_int64.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__min_int64)
// A.*B function (eWiseMult): GB (_AemultB_08__min_int64)
// A.*B function (eWiseMult): GB (_AemultB_02__min_int64)
// A.*B function (eWiseMult): GB (_AemultB_04__min_int64)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__min_int64)
// A*D function (colscale): GB (_AxD__min_int64)
// D*A function (rowscale): GB (_DxB__min_int64)
// C+=B function (dense accum): GB (_Cdense_accumB__min_int64)
// C+=b function (dense accum): GB (_Cdense_accumb__min_int64)
// C+=A+B function (dense ewise3): GB (_Cdense_ewise3_accum__min_int64)
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__min_int64)
// C=scalar+B GB (_bind1st__min_int64)
// C=scalar+B' GB (_bind1st_tran__min_int64)
// C=A+scalar GB (_bind2nd__min_int64)
// C=A'+scalar GB (_bind2nd_tran__min_int64)
// C type: int64_t
// A type: int64_t
// B,b type: int64_t
// BinaryOp: cij = GB_IMIN (aij, bij)
#define GB_ATYPE \
int64_t
#define GB_BTYPE \
int64_t
#define GB_CTYPE \
int64_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) \
int64_t aij = GBX (Ax, pA, A_iso)
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB,B_iso) \
int64_t bij = GBX (Bx, pB, B_iso)
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
int64_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_IMIN (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_MIN || GxB_NO_INT64 || GxB_NO_MIN_INT64)
//------------------------------------------------------------------------------
// 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__min_int64)
(
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__min_int64)
(
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__min_int64)
(
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__min_int64)
(
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 int64_t
int64_t bwork = (*((int64_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__min_int64)
(
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
int64_t *restrict Cx = (int64_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__min_int64)
(
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
int64_t *restrict Cx = (int64_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__min_int64)
(
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, C<M>=A.*B, or C<M!>=A.*B where C is sparse/hyper
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_08__min_int64)
(
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__min_int64)
(
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__min_int64)
(
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__min_int64)
(
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__min_int64)
(
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
int64_t *Cx = (int64_t *) Cx_output ;
int64_t x = (*((int64_t *) x_input)) ;
int64_t *Bx = (int64_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 ;
int64_t bij = GBX (Bx, p, false) ;
Cx [p] = GB_IMIN (x, bij) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB (_bind2nd__min_int64)
(
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 ;
int64_t *Cx = (int64_t *) Cx_output ;
int64_t *Ax = (int64_t *) Ax_input ;
int64_t y = (*((int64_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
int64_t aij = GBX (Ax, p, false) ;
Cx [p] = GB_IMIN (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) \
{ \
int64_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = GB_IMIN (x, aij) ; \
}
GrB_Info GB (_bind1st_tran__min_int64)
(
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 \
int64_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t x = (*((const int64_t *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
int64_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) \
{ \
int64_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = GB_IMIN (aij, y) ; \
}
GrB_Info GB (_bind2nd_tran__min_int64)
(
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
int64_t y = (*((const int64_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
linkage.c | /* FEDERAL UNIVERSITY OF BAHIA (UFBA)
ATYIMOLAB (www.atyimolab.ufba.br)
University College London (UCL)
Denaxas Lab (www.denaxaslab.org)
*/
/*
@(#)File: $linkage.c$
@(#)Last changed: $Date: 2017/07/01 17:54:00 $
@(#)Purpose: AtyImo version for multicore processors
@(#)Authors: Robespierre Pita and Clicia Pinto and Marcos Barreto and Spiros Denaxas
*/
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <time.h>
#include <omp.h>
#define NCOL 101
void fill_matrix(int *, int , char *);
int get_num_of_lines(FILE *);
void process_file(FILE *, int *);
void print_matrix(int *, int );
void multicore_execution(int *, int *, int , int , int , int );
float dice_multicore(int *, int *);
void print_matrix(int *matrix, int nlines);
int comparacoes = 0;
int main(int argc, char const *argv[]) {
FILE *base_a, *base_b;
char file1[30];
double t1, t2;
double quantum, leftover;
int threads_openmp = atoi(argv[2]);
int nlines_a, nlines_b;
strcpy(file1, "input_");
strcat(file1, argv[1]);
strcat(file1, ".bloom");
base_a = fopen(file1, "r");
base_b = fopen(file1, "r");
nlines_a = get_num_of_lines(base_a);
int *matrixA = (int *)malloc(nlines_a * NCOL * sizeof(int));
process_file(base_a, matrixA);
// print_matrix(matrixA, nlines_a);
nlines_b = get_num_of_lines(base_b);
int *matrixB = (int *)malloc(nlines_b * NCOL * sizeof(int));
process_file(base_b, matrixB);
// print_matrix(matrixB, nlines_b);
quantum = (float)nlines_a / threads_openmp;
leftover = (quantum - (int)quantum) * threads_openmp;
t1 = omp_get_wtime();
#pragma omp parallel num_threads(threads_openmp)
{
int thread_id = omp_get_thread_num();
multicore_execution(matrixA, matrixB, nlines_b, thread_id, (int) quantum, (int) leftover);
}
t2 = omp_get_wtime();
int length_problem = atoi(argv[1]);
printf("%d\t%f\n", (length_problem), (t2 - t1));
return 0;
}
void multicore_execution(int *matrixA, int *matrixB, int nlines_b, int thread_id, int quantum, int leftover){
int bloomA[100], bloomB[100], inicio, fim;
float dice;
FILE *result[thread_id];
char file_name[30];
char str[10];
sprintf(str, "%d", thread_id);
strcpy(file_name, "results_thread");
strcat(file_name, str);
strcat(file_name, ".dice");
if(thread_id < leftover) {
inicio = thread_id * (quantum + 1);
fim = quantum + 1 + inicio;
}
else {
if (thread_id == leftover) {
if (leftover == 0) {
inicio = thread_id * quantum;
fim = inicio + quantum;
}
else {
inicio = thread_id * (quantum + 1);
fim = inicio + quantum;
}
}
else {
if (leftover == 0) {
inicio = thread_id * quantum;
fim = inicio + quantum;
}
else {
inicio = thread_id * (quantum + 1) - (thread_id - leftover);
fim = inicio + quantum;
}
}
}
int i = inicio;
while (i < fim) {
for (int j = 1; j < 101; j++) {
bloomA[j - 1] = matrixA[i * NCOL + j];
}
// getting bloom filter for each matrixB register
for (int k = 0; k < nlines_b; k++) {
for (int l = 1; l < 101; l++) {
bloomB[l - 1] = matrixB[k * NCOL + l];
}
dice = dice_multicore(bloomA, bloomB);
}
i++;
}
}
float dice_multicore(int *bloomA, int *bloomB) {
double a = 0, b = 0, h = 0;
int i;
for (i = 0; i < 100; i++) {
if (bloomA[i] == 1) {
a++;
if (bloomB[i] == 1)
h++;
}
if (bloomB[i] == 1) {
b++;
}
}
double dice = ((h * 2.0) / (a + b)) * 10000;
return dice;
}
void fill_matrix(int *matrix, int pos, char *line) {
int i = 0, j = 0;
char c, id[10];
do {
c = line[j];
id[j] = c;
j++;
} while (c != ';');
id[j-1] = '\0';
matrix[NCOL * pos] = atoi(id);
for (i = 1; i < NCOL; i++) {
matrix[NCOL * pos + i] = line[j] - '0';
j++;
}
}
void process_file(FILE *fp, int *matrix) {
char line[256];
int pos_to_insert = 0;
rewind(fp);
if(!fgets(line, 255, fp))
printf("fp = NULL");
while (!feof(fp)) {
line[strlen(line) - 1] = '\0';
fill_matrix(matrix, pos_to_insert, line);
pos_to_insert++;
if(!fgets(line, 255, fp))
break;
}
}
int get_num_of_lines(FILE *fp) {
int lines = 0;
char line[256];
if(!fgets(line, 255, fp))
printf("fp = NULL");
while (!feof(fp)) {
lines++;
if(!fgets(line, 255, fp))
break;
}
return lines;
}
void print_matrix(int *matrix, int nlines) {
int i, j;
for (i = 0; i < nlines; i++) {
printf("imprimindo a linha %d: \n", i);
for (j = 0; j < NCOL; j++) {
printf("%d", matrix[i * NCOL + j]);
}
printf("\n");
}
printf("\n");
}
|
omp_chemm_batch.c | /**
* @file omp_chemm_batch.c
*
* @brief BBLAS omp_chemm_batch float _Complex routine.
*
* BBLAS is a software package provided by Univ. of Manchester,
* Univ. of Tennessee.
*
* @version 1.0.0
* @author Samuel D. Relton
* @author Pedro V. Lara
* @author Mawussi Zounon
* @date 2016-02-20
*
**/
#ifndef DOXYGEN_SHOULD_SKIP_THIS
/**
* Code generation
* @generated from ./bblas_omp/omp_zhemm_batch.c normal z -> c, Mon Jun 6 09:44:14 2016
**/
#endif
#include<cblas.h>
#include "bblas_omp.h"
#include "bblas.h"
#include <omp.h>
#define COMPLEX
/**
Purpose
-------
<b>chemm_batch</b> is an OpenMP version of chemm_batch.
It performs the matrix-matrix operations
arrayC[i] = alpha[i]*arrayA[i]*arrayB[i] + beta[i]*arrayC[i], or
arrayC[i] = alpha[i]*arrayB[i]*arrayA[i] + beta[i]*arrayC[i],
where alpha[i] and beta[i] are scalars, arrayA[i] is a hermitian matrix,
and arrayB[i] and C are M[i] by N[i] matrices.
Fixed and Variable Batch Operations
-----------------------------------
Two types of batch operation are supported depending upon the value of batch_opts.
When <tt>batch_opts = BBLAS_VARIABLE</tt>
- all parameters that are arrays must have length at least batch_count.
- all parameters that are arrays must have all values set.
When <tt>batch_opts = BBLAS_FIXED</tt>
- all parameters that are arrays (except for arrayA, arrayB, arrayC, and info)
must have length at least one.
- all parameters that are arrays (except for arrayA, arrayB, arrayC, and info)
need only to have their first value set.
This means that for a <tt>BBLAS_FIXED</tt> batch,
the values of side[0], uplo[0], M[0], N[0],
alpha[0], beta[0], lda[0], ldb[0], and ldc[0] are used for all computations.
Parameters
----------
@param[in]
side Array of <tt>enum BBLAS_SIDE</tt>.
On entry, side[i] specifies whether the hermitian
matrix A appears on the left or right in the
operation as follows:
- = 'BblasLeft' arrayC[i] = alpha[i]*arrayA[i]*arrayB[i] + beta[i]*arrayC[i].
- = 'BblasRight' arrayC[i] = alpha[i]*arrayB[i]*arrayA[i] + beta[i]*arrayC[i].
@param[in]
uplo Array of <tt>enum BBLAS_UPLO</tt>.
On entry, uplo[i] specifies whether the upper or
lower triangular part of the hermitian matrix
arrayA[i] is to be referenced as follows:
- = 'BblasUpper' Only the upper triangular part of
the hermitian matrix is to be referenced.
- = 'BblasLower' Only the lower triangular part of
the hermitian matrix is to be referenced.
@param[in]
M Array of <tt>int</tt>.
Each element M[i] specifies the number of rows of the matrix
arrayC[i]. M[i] must be greater than zero.
@param[in]
N Array of <tt>int</tt>.
Each element N[i] specifies the number of columns of the matrix
arrayC[i]. N[i] must be greater than zero.
@param[in]
alpha Array of <tt>complex_16</tt>.
@param[in]
arrayA Array of pointers.
Each element arrayA[i] is a pointer to a COMPLEX matrix of
dimension lda[i] by Ka[i],
where Ka[i] = M[i] when side[i] = BblasLeft and is N[i] otherwise.
When using side[i] = BblasLeft the M[i] by M[i] part of arrayA[i] must
contain the Hermitian matrix:
when uplo[i] = BblasUpper, the upper triangular part of arrayA[i]
must contain the upper triangular part of the Hermitian matrix whilst
the strictly lower triangular part is not used;
similarly when uplo[i] = BblasLower, the lower triangular part of arrayA[i]
must contain the lower triangular part of the Hermitian matrix whilst
the strictly upper triangular part is not used.
When using side[i] = BblasRight the N[i] by N[i] part of arrayA[i] must
contain the Hermitian matrix:
when uplo[i] = BblasUpper, the upper triangular part of arrayA[i]
must contain the upper triangular part of the Hermitian matrix whilst
the strictly lower triangular part is not used;
similarly when uplo[i] = BblasLower, the lower triangular part of arrayA[i]
must contain the lower triangular part of the Hermitian matrix whilst
the strictly upper triangular part is not used.
Note that the imaginary parts of the diagonal elements
need not be set, they are assumed to be zero.
@param[in]
lda Array of <tt>int</tt>.
On entry, lda[i] specifies the first dimension of arrayA[i] as declared
in the calling (sub) program. When side[i] = BblasLeft
then lda[i] must be at least max( 1, M[i] ),
otherwise lda[i] must be at least max( 1, N[i] ).
@param[in]
arrayB Array of pointers.
Each element arrayB[i] is a pointer to a COMPLEX matrix of
dimension ldb[i] by N[i].
The leading M[i] by N[i] part of arrayB[i] must contain the matrix elements.
@param[in]
ldb Array of <tt>int</tt>.
Each element ldb[i] specifies the first dimension of arrayB[i] as declared
in the calling (sub) program. Each element ldb[i] must be at least max( 1, M[i] ).
@param[in]
beta Array of <tt>complex_16</tt>.
When beta[i] is set to zero arrayC[i] need not be set on input.
@param[in,out]
arrayC Array of pointers.
Each element arrayC[i] is a pointer to a COMPLEX matrix of
dimension ldc[i] by N[i].
Before entry, the leading M[i] by N[i] part of the arrayC[i] must
contain a matrix C, except when beta is zero, in which
case C need not be set on entry.
On exit, the matrix arrayC[i] is overwritten by the M[i] by N[i] matrix output.
@param[in]
ldc Array of <tt>int</tt>.
Each element ldc[i] specifies the first dimension of arrayC[i] as declared
in the calling (sub) program. The value ldc[i] must be at least
max( 1, M[i] ).
@param[in]
batch_count <tt>int</tt>
The number of matrices to operate on.
@param[in]
batch_opts <tt>enum BBLAS_OPTS</tt>
One of BBLAS_FIXED or BBLAS_VARIABLE depending upon the type of
batch operation required.
@param[out]
info Array of <tt>int</tt>.
Each element info[i] is the error return code of the ith chemm in the batch,
these need not be set on entry.
The error codes can be found in bblas_macros.h.
**/
void omp_chemm_batch(
const enum BBLAS_SIDE *side, const enum BBLAS_UPLO *uplo,
const int *M, const int *N, const BBLAS_Complex32_t *alpha,
const BBLAS_Complex32_t **arrayA, const int *lda,
const BBLAS_Complex32_t **arrayB, const int *ldb,
const BBLAS_Complex32_t *beta, BBLAS_Complex32_t **arrayC,
const int *ldc, const int batch_count, enum BBLAS_OPTS batch_opts, int *info)
{
/*Local variables */
int first_index = 0;
int batch_iter;
int LDA;
char func_name[15] = "chemm_batch";
/* Check input arguments */
if (batch_count < 0)
{
xerbla_batch(func_name, BBLAS_ERR_BATCH_COUNT, -1);
}
if (batch_opts == BBLAS_FIXED)
{
if ((side[first_index] != BblasLeft) &&
(side[first_index] != BblasRight))
{
xerbla_batch(func_name, BBLAS_ERR_SIDE, first_index);
for (batch_iter = 0; batch_iter < batch_count; batch_iter++)
{
info[batch_iter] = BBLAS_ERR_SIDE;
}
return;
}
if ((uplo[first_index] != BblasUpper) &&
(uplo[first_index] != BblasLower))
{
xerbla_batch(func_name, BBLAS_ERR_UPLO, first_index);
for (batch_iter = 0; batch_iter < batch_count; batch_iter++)
{
info[batch_iter] = BBLAS_ERR_UPLO;
}
return;
}
if (M[first_index] < 0)
{
xerbla_batch(func_name, BBLAS_ERR_M, first_index);
for (batch_iter = 0; batch_iter < batch_count; batch_iter++)
{
info[batch_iter] = BBLAS_ERR_M;
}
return;
}
if (N[first_index] < 0)
{
xerbla_batch(func_name, BBLAS_ERR_N, first_index);
for (batch_iter = 0; batch_iter < batch_count; batch_iter++)
{
info[batch_iter] = BBLAS_ERR_N;
}
return;
}
if (side[first_index] == BblasLeft){
LDA = M[first_index];
} else
{
LDA = N[first_index];
}
if (lda[first_index] < max(1, LDA))
{
xerbla_batch(func_name, BBLAS_ERR_LDA, first_index);
for (batch_iter = 0; batch_iter < batch_count; batch_iter++)
{
info[first_index] = BBLAS_ERR_LDA;
}
return;
}
if (ldb[first_index] < max(1, M[first_index]))
{
xerbla_batch(func_name, BBLAS_ERR_LDB, first_index);
for (batch_iter = 0; batch_iter < batch_count; batch_iter++)
{
info[batch_iter] = BBLAS_ERR_LDB;
}
return;
}
if (ldc[first_index] < max(1, M[first_index]))
{
xerbla_batch(func_name, BBLAS_ERR_LDC, first_index);
for (batch_iter = 0; batch_iter < batch_count; batch_iter++)
{
info[batch_iter] = BBLAS_ERR_LDC;
}
return;
}
/* paritular case */
if (M[first_index] == 0 || N[first_index] == 0 ||
((alpha[first_index] == (BBLAS_Complex32_t)0.0) &&
(beta[first_index] == (BBLAS_Complex32_t)1.0)))
{
for (batch_iter = 0; batch_iter < batch_count; batch_iter++)
{
info[batch_iter] = BBLAS_SUCCESS;
}
return;
}
#pragma omp parallel for private(batch_iter)
for (batch_iter = 0; batch_iter < batch_count; batch_iter++)
{
/*Call to cblas_chemm */
cblas_chemm(
BblasColMajor,
side[first_index],
uplo[first_index],
M[first_index],
N[first_index],
CBLAS_SADDR(alpha[first_index]),
arrayA[batch_iter],
lda[first_index],
arrayB[batch_iter],
ldb[first_index],
CBLAS_SADDR(beta[first_index]),
arrayC[batch_iter],
ldc[first_index]);
info[batch_iter] = BBLAS_SUCCESS;
}
}else if (batch_opts == BBLAS_VARIABLE)
{
#pragma omp parallel for private(batch_iter, LDA)
for (batch_iter = 0; batch_iter < batch_count; batch_iter++)
{
/* Check input arguments */
if ((side[batch_iter] != BblasLeft) &&
(side[batch_iter] != BblasRight))
{
xerbla_batch(func_name, BBLAS_ERR_SIDE, batch_iter);
info[batch_iter] = BBLAS_ERR_SIDE;
continue;
}
if ((uplo[batch_iter] != BblasUpper) &&
(uplo[batch_iter] != BblasLower))
{
xerbla_batch(func_name, BBLAS_ERR_UPLO, batch_iter);
info[batch_iter] = BBLAS_ERR_UPLO;
continue;
}
if (M[batch_iter] < 0)
{
xerbla_batch(func_name, BBLAS_ERR_M, batch_iter);
info[batch_iter] = BBLAS_ERR_M;
continue;
}
if (N[batch_iter] < 0)
{
xerbla_batch(func_name, BBLAS_ERR_N, batch_iter);
info[batch_iter] = BBLAS_ERR_N;
continue;
}
if (side[batch_iter] == BblasLeft)
{
LDA = M[batch_iter];
} else {
LDA = N[batch_iter];
}
if (lda[batch_iter] < max(1, LDA))
{
xerbla_batch(func_name, BBLAS_ERR_LDA, batch_iter);
info[batch_iter] = BBLAS_ERR_LDA;
continue;
}
if (ldb[batch_iter] < max(1, M[batch_iter]))
{
xerbla_batch(func_name, BBLAS_ERR_LDB, batch_iter);
info[batch_iter] = BBLAS_ERR_LDB;
continue;
}
if (ldc[batch_iter] < max(1, M[batch_iter]))
{
xerbla_batch(func_name, BBLAS_ERR_LDC, batch_iter);
info[batch_iter] = BBLAS_ERR_LDC;
continue;
}
/* particular case */
if (M[batch_iter] == 0 || N[batch_iter] == 0 ||
((alpha[batch_iter] == (BBLAS_Complex32_t)0.0) &&
beta[batch_iter] == (BBLAS_Complex32_t)1.0))
{
info[batch_iter] = BBLAS_SUCCESS;
continue;
}
cblas_chemm(
BblasColMajor,
side[batch_iter],
uplo[batch_iter],
M[batch_iter],
N[batch_iter],
CBLAS_SADDR(alpha[batch_iter]),
arrayA[batch_iter],
lda[batch_iter],
arrayB[batch_iter],
ldb[batch_iter],
CBLAS_SADDR(beta[batch_iter]),
arrayC[batch_iter],
ldc[batch_iter]);
/* Successful */
info[batch_iter] = BBLAS_SUCCESS;
}
}else
{
xerbla_batch(func_name, BBLAS_ERR_BATCH_OPTS, -1);
}
}
#undef COMPLEX
|
declare_variant_ast_print.c | // RUN: %clang_cc1 -verify -fopenmp -x c -std=c99 -ast-print %s -o - -Wno-openmp-clauses | FileCheck %s
// RUN: %clang_cc1 -verify -fopenmp-simd -x c -std=c99 -ast-print %s -o - -Wno-openmp-clauses | FileCheck %s
// expected-no-diagnostics
int foo(void);
#pragma omp declare variant(foo) match(xxx={}, yyy={ccc})
#pragma omp declare variant(foo) match(xxx={vvv})
#pragma omp declare variant(foo) match(implementation={vendor(llvm)})
#pragma omp declare variant(foo) match(implementation={vendor(llvm), xxx})
#pragma omp declare variant(foo) match(implementation={vendor(unknown)})
#pragma omp declare variant(foo) match(implementation={vendor(score(5): ibm, xxx, ibm)})
int bar(void);
// CHECK: int foo();
// CHECK-NEXT: #pragma omp declare variant(foo) match(implementation={vendor(score(5):ibm, xxx)})
// CHECK-NEXT: #pragma omp declare variant(foo) match(implementation={vendor(unknown)})
// CHECK-NEXT: #pragma omp declare variant(foo) match(implementation={vendor(llvm)})
// CHECK-NEXT: #pragma omp declare variant(foo) match(implementation={vendor(llvm)})
// CHECK-NEXT: int bar();
|
Grid.h | #ifndef GRID_H_
#define GRID_H_
#include <cstring>
#include <cstdlib>
#include <iostream>
template<typename T>
class Grid {
public:
Grid(int X, int Y);
~Grid();
/// Implements periodic boundary conditions
inline int periodicIndex(int i, int N) {
int pi;
if (i >= 0) {
pi = i % N;
} else {
pi = N-1 - (-i-1)%N;
}
return pi;
}
inline T& get(int x, int y) {
return m_data[periodicIndex(y, m_Y) * m_X + periodicIndex(x, m_X)];
}
inline int X() const {
return m_X;
}
inline int Y() const {
return m_Y;
}
private:
int m_X;
int m_Y;
T* m_data;
};
template<typename T>
Grid<T>::Grid(int X, int Y)
: m_X(X), m_Y(Y)
{
int err = posix_memalign(reinterpret_cast<void**>(&m_data), ALIGNMENT, X*Y*sizeof(T));
if (err) {
std::cerr << "Failed to allocate " << X*Y*sizeof(T) << " bytes in " << __FILE__ << std::endl;
exit(EXIT_FAILURE);
}
#pragma omp parallel for collapse(2)
for (int y = 0; y < m_Y; ++y) {
for (int x = 0; x < m_X; ++x) {
T& data = get(x, y);
memset(&data, 0, sizeof(T));
}
}
}
template<typename T>
Grid<T>::~Grid() {
free(m_data);
}
#endif // GRID_H_
|
radon.c | #include "main.h"
#include "Python.h"
#include "numpy/arrayobject.h"
#include <math.h>
/*
**
** Radon transform functions
**
*/
static struct item {
int x;
int y;
double angle;
struct item *next;
};
static void print_list(struct item *head) {
struct item *current;
for(current=head; current!=NULL; current=current->next) {
fprintf(stderr, "%d,%d -- %.3f\n", current->x, current->y, current->angle);
}
return;
};
/*static int list_length(struct item *head) {
struct item *current;
current = head;
int count=0;
while (current != NULL) {
count++;
current = current->next;
}
return count;
};*/
static int list_length(struct item *head) {
struct item *current;
int count=0;
for(current=head; current!=NULL; current=current->next) {
count++;
}
return count;
};
static void delete_list(struct item *head) {
struct item *current;
current = head;
while (current != NULL) {
head = current;
current = current->next;
free (head);
}
return;
};
static struct item *add_to_list(int x, int y, struct item *head) {
double angle = atan2(x, y);
//printf("\nADD: %d,%d -- %.3f\n", x, y, angle);
//print_list(head);
struct item *current;
if (head == NULL || angle < head->angle) {
//printf("Allocating new head pointer\n");
current = malloc(sizeof(struct item));
current->x = x;
current->y = y;
current->angle = angle;
current->next = head;
head = current;
return head;
}
current = head;
int stop = 0;
while (current != NULL && !stop) {
if (angle >= current->angle && (current->next == NULL || angle < current->next->angle )) {
stop = 1;
//printf("Allocating new intermediate pointer for %.3f after %.3f\n", angle, current->angle);
if (!(current->x == x && current->y == y)) {
struct item *newitem;
newitem = malloc(sizeof(struct item));
newitem->x = x;
newitem->y = y;
newitem->angle = angle;
//printf("%.3f\n", angle);
newitem->next = current->next;
current->next = newitem;
}
}
current = current->next;
}
return head;
};
static struct item *getAnglesList(int radius, struct item *head) {
//angle *head;
//converted from http://en.wikipedia.org/wiki/Midpoint_circle_algorithm
if (radius == 0) {
head = add_to_list(0, 0, head);
return head;
}
head = add_to_list(0, radius, head);
head = add_to_list(0, -radius, head);
head = add_to_list( radius, 0, head);
head = add_to_list(-radius, 0, head);
if (radius <= 1) {
return head;
}
int f = 1 - radius;
int ddF_x = 1;
int ddF_y = -2 * radius;
int x = 0;
int y = radius;
while(x < y)
{
// ddF_x == 2 * x + 1;
// ddF_y == -2 * y;
// f == x*x + y*y - radius*radius + 2*x - y + 1;
if(f >= 0)
{
y--;
ddF_y += 2;
f += ddF_y;
}
x++;
ddF_x += 2;
f += ddF_x;
head = add_to_list( x, y, head);
head = add_to_list(-x, y, head);
head = add_to_list( x, -y, head);
head = add_to_list(-x, -y, head);
head = add_to_list( y, x, head);
head = add_to_list(-y, x, head);
head = add_to_list( y, -x, head);
head = add_to_list(-y, -x, head);
}
return head;
}
PyObject* getAngles(PyObject *self, PyObject *args) {
/*
** Inputs:
** interger of search radius (in pixels)
** Modifies:
** nothing
** Outputs:
** 1D numpy array containing correlation values of angle (x-axis)
*/
Py_Initialize();
int radius;
if (!PyArg_ParseTuple(args, "i", &radius))
return NULL;
struct item *head = NULL;
head = getAnglesList(radius, head);
int numangles = list_length(head);
npy_intp outdims[1] = {numangles};
import_array(); // this is required to use PyArray_New() and PyArray_SimpleNew()
PyArrayObject *output;
output = (PyArrayObject *) PyArray_SimpleNew(1, outdims, NPY_DOUBLE);
struct item *current;
int i=0;
for(current=head; current!=NULL; current=current->next) {
*(double *) PyArray_GETPTR1(output, i) = current->angle;
i++;
}
delete_list(head);
return PyArray_Return(output);
}
PyObject* radonShiftCorrelate(PyObject *self, PyObject *args) {
/*
** Inputs:
** (1) 2D numpy array of first Radon transform (using doubles)
** (2) 2D numpy array of second Radon transform (using doubles)
** (3) interger of search radius (in pixels)
** Modifies:
** nothing
** Outputs:
** 1D numpy array containing correlation values of angle (y-axis) and shift (x-axis)
*/
Py_Initialize();
/* Simple test loop */
/*struct item *headtwo = NULL;
int rad;
for(rad=0; rad<8; rad++) {
struct item *headtwo = NULL;
headtwo = getAnglesList(rad, headtwo);
fprintf(stderr, "radius %d, num angles %d\n", rad, list_length(headtwo));
//if (rad < 3) print_list(headtwo);
delete_list(headtwo);
}
fprintf(stderr, "Finish test radii\n");*/
/* End simple test loop */
/* Parse tuples separately since args will differ between C fcns */
int radius;
PyArrayObject *radonone, *radontwo;
//fprintf(stderr, "Start variable read\n");
if (!PyArg_ParseTuple(args, "OOi", &radonone, &radontwo, &radius))
return NULL;
if (radonone == NULL) return NULL;
if (radontwo == NULL) return NULL;
/* Create list of angles to check, number of angles is based on radius */
struct item *head = NULL;
head = getAnglesList(radius, head);
int numangles = list_length(head);
//fprintf(stderr, "Finish get angles, radius %d, num angles %d\n", radius, list_length(head));
/* dimensions error checking */
if (radonone->dimensions[0] != radontwo->dimensions[0]
|| radonone->dimensions[1] != radontwo->dimensions[1]) {
fprintf(stderr, "\n%s: Radon arrays are of different dimensions (%d,%d) vs. (%d,%d)\n\n",
__FILE__,
radonone->dimensions[0], radonone->dimensions[1],
radontwo->dimensions[0], radontwo->dimensions[1]);
return NULL;
}
/* Get the dimensions of the input */
int numrows = radonone->dimensions[0];
int numcols = radonone->dimensions[1];
//fprintf(stderr, "Dimensions: %d rows by %d cols\n", numrows, numcols);
if (2*radius > numcols) {
fprintf(stderr, "\n%s: Shift diameter %d is larger than Radon array dimensions (%d,%d))\n\n",
__FILE__, radius*2,
radontwo->dimensions[0], radontwo->dimensions[1]);
return NULL;
}
/*
double test;
test = *((double *)PyArray_GETPTR2(radonone, 0, 0));
fprintf(stderr, "Array 1 test value at (0,0) = %.3f\n", test);
test = *((double *)PyArray_GETPTR2(radontwo, 0, 0));
fprintf(stderr, "Array 2 test value at (0,0) = %.3f\n", test);
*/
/* Determine the dimensions for the output */
npy_intp outdims[2] = {numrows, numangles};
/* Make a new double matrix of desired dimensions */
//fprintf(stderr, "Creating output array of dimensions %d and %d\n", numrows, numangles);
import_array(); // this is required to use PyArray_New() and PyArray_SimpleNew()
PyArrayObject *output;
//output = (PyArrayObject *) PyArray_New(&PyArray_Type, 2, outdims, NPY_DOUBLE, NULL, NULL, 0, 0, NULL);
output = (PyArrayObject *) PyArray_SimpleNew(2, outdims, NPY_DOUBLE);
//fprintf(stderr, "Finish create output array\n");
/* Do the calculation. */
int row;
#pragma omp parallel for
for (row=0; row<numrows; row++) {
struct item *current;
int anglecol=0;
for(current=head; current!=NULL; current=current->next) {
/* calculation of cross correlation */
double rawshift = radius*sin(current->angle);
int shift;
if (rawshift > 0) {
shift = (int) (radius*sin(current->angle) + 0.5);
} else {
shift = (int) (radius*sin(current->angle) - 0.5);
}
//fprintf(stderr, "raw = %.3f; shift = %d\n", rawshift, shift);
int i,j,ishift,jshift;
double onevalue, twovalue;
double outputsum = 0.0;
//fprintf(stderr, "Position %d, %d\n", row, anglecol);
for (i=0; i<numrows; i++) {
for (j=0; j<numcols; j++) {
ishift = i+row;
if (ishift >= numrows) ishift -= numrows; // wrap overflow values
if (ishift < 0) ishift += numrows; // wrap negative values
jshift = j+shift;
if (jshift >= numcols) jshift -= numcols; // wrap overflow values
if (jshift < 0) jshift += numcols; // wrap negative values
//fprintf(stderr, "%d, %d <-", ishift, jshift);
onevalue = *((double *)PyArray_GETPTR2(radonone, ishift, jshift));
//fprintf(stderr, "-> %d, %d\n", i, j);
twovalue = *((double *)PyArray_GETPTR2(radontwo, i, j));
outputsum += onevalue * twovalue;
}}
outputsum /= (numrows*numcols);
*(double *) PyArray_GETPTR2(output, row, anglecol) = outputsum;
/* interation variables */
anglecol++;
} }
/* clean up any memory leaks */
delete_list(head);
return PyArray_Return(output);
}
|
t_cholmod_gpu.c | /* ========================================================================== */
/* === GPU/t_cholmod_gpu ==================================================== */
/* ========================================================================== */
/* -----------------------------------------------------------------------------
* CHOLMOD/GPU Module. Copyright (C) 2005-2012, Timothy A. Davis
* http://www.suitesparse.com
* -------------------------------------------------------------------------- */
/* GPU BLAS template routine for cholmod_super_numeric. */
/* ========================================================================== */
/* === include files and definitions ======================================== */
/* ========================================================================== */
#ifdef GPU_BLAS
#include <string.h>
#include "cholmod_template.h"
#include "cholmod_gpu_kernels.h"
#include <fenv.h>
#include <cuda.h>
#include <cuda_runtime.h>
#undef L_ENTRY
#ifdef REAL
#define L_ENTRY 1
#else
#define L_ENTRY 2
#endif
/* ========================================================================== */
/* === gpu_clear_memory ===================================================== */
/* ========================================================================== */
/*
* Ensure the Lx is zeroed before forming factor. This is a significant cost
* in the GPU case - so using this parallel memset code for efficiency.
*/
void TEMPLATE2 (CHOLMOD (gpu_clear_memory))
(
double* buff,
size_t size,
int num_threads
)
{
int chunk_multiplier = 5;
int num_chunks = chunk_multiplier * num_threads;
size_t chunksize = size / num_chunks;
size_t i;
#pragma omp parallel for num_threads(num_threads) private(i) schedule(dynamic)
for(i = 0; i < num_chunks; i++) {
size_t chunkoffset = i * chunksize;
if(i == num_chunks - 1) {
memset(buff + chunkoffset, 0, (size - chunksize*(num_chunks - 1)) *
sizeof(double));
}
else {
memset(buff + chunkoffset, 0, chunksize * sizeof(double));
}
}
}
/* ========================================================================== */
/* === gpu_init ============================================================= */
/* ========================================================================== */
/*
* Performs required initialization for GPU computing.
*
* Returns 0 if there is an error, so the intended use is
*
* useGPU = CHOLMOD(gpu_init)
*
* which would locally turn off gpu processing if the initialization failed.
*/
int TEMPLATE2 (CHOLMOD (gpu_init))
(
void *Cwork,
cholmod_factor *L,
cholmod_common *Common,
Int nsuper,
Int n,
Int nls,
cholmod_gpu_pointers *gpu_p
)
{
Int i, k, maxSize ;
cublasStatus_t cublasError ;
cudaError_t cudaErr ;
size_t maxBytesSize, HostPinnedSize ;
feenableexcept (FE_DIVBYZERO | FE_INVALID | FE_OVERFLOW );
maxSize = L->maxcsize;
/* #define PAGE_SIZE (4*1024) */
CHOLMOD_GPU_PRINTF (("gpu_init : %p\n",
(void *) ((size_t) Cwork & ~(4*1024-1)))) ;
/* make sure the assumed buffer sizes are large enough */
if ( (nls+2*n+4)*sizeof(Int) > Common->devBuffSize ) {
ERROR (CHOLMOD_GPU_PROBLEM,"\n\n"
"GPU Memory allocation error. Ls, Map and RelativeMap exceed\n"
"devBuffSize. It is not clear if this is due to insufficient\n"
"device or host memory or both. You can try:\n"
" 1) increasing the amount of GPU memory requested\n"
" 2) reducing CHOLMOD_NUM_HOST_BUFFERS\n"
" 3) using a GPU & host with more memory\n"
"This issue is a known limitation and should be fixed in a \n"
"future release of CHOLMOD.\n") ;
return (0) ;
}
/* divvy up the memory in dev_mempool */
gpu_p->d_Lx[0] = Common->dev_mempool;
gpu_p->d_Lx[1] = (char*)Common->dev_mempool + Common->devBuffSize;
gpu_p->d_C = (char*)Common->dev_mempool + 2*Common->devBuffSize;
gpu_p->d_A[0] = (char*)Common->dev_mempool + 3*Common->devBuffSize;
gpu_p->d_A[1] = (char*)Common->dev_mempool + 4*Common->devBuffSize;
gpu_p->d_Ls = (char*)Common->dev_mempool + 5*Common->devBuffSize;
gpu_p->d_Map = (char*)gpu_p->d_Ls + (nls+1)*sizeof(Int) ;
gpu_p->d_RelativeMap = (char*)gpu_p->d_Map + (n+1)*sizeof(Int) ;
/* Copy all of the Ls and Lpi data to the device. If any supernodes are
* to be computed on the device then this will be needed, so might as
* well do it now. */
cudaErr = cudaMemcpy ( gpu_p->d_Ls, L->s, nls*sizeof(Int),
cudaMemcpyHostToDevice );
CHOLMOD_HANDLE_CUDA_ERROR(cudaErr,"cudaMemcpy(d_Ls)");
if (!(Common->gpuStream[0])) {
/* ------------------------------------------------------------------ */
/* create each CUDA stream */
/* ------------------------------------------------------------------ */
for ( i=0; i<CHOLMOD_HOST_SUPERNODE_BUFFERS; i++ ) {
cudaErr = cudaStreamCreate ( &(Common->gpuStream[i]) );
if (cudaErr != cudaSuccess) {
ERROR (CHOLMOD_GPU_PROBLEM, "CUDA stream") ;
return (0) ;
}
}
/* ------------------------------------------------------------------ */
/* create each CUDA event */
/* ------------------------------------------------------------------ */
for (i = 0 ; i < 3 ; i++) {
cudaErr = cudaEventCreateWithFlags
(&(Common->cublasEventPotrf [i]), cudaEventDisableTiming) ;
if (cudaErr != cudaSuccess) {
ERROR (CHOLMOD_GPU_PROBLEM, "CUDA event") ;
return (0) ;
}
}
for (i = 0 ; i < CHOLMOD_HOST_SUPERNODE_BUFFERS ; i++) {
cudaErr = cudaEventCreateWithFlags
(&(Common->updateCBuffersFree[i]), cudaEventDisableTiming) ;
if (cudaErr != cudaSuccess) {
ERROR (CHOLMOD_GPU_PROBLEM, "CUDA event") ;
return (0) ;
}
}
cudaErr = cudaEventCreateWithFlags ( &(Common->updateCKernelsComplete),
cudaEventDisableTiming );
if (cudaErr != cudaSuccess) {
ERROR (CHOLMOD_GPU_PROBLEM, "CUDA updateCKernelsComplete event") ;
return (0) ;
}
}
gpu_p->h_Lx[0] = (double*)(Common->host_pinned_mempool);
for ( k=1; k<CHOLMOD_HOST_SUPERNODE_BUFFERS; k++ ) {
gpu_p->h_Lx[k] = (double*)((char *)(Common->host_pinned_mempool) +
k*Common->devBuffSize);
}
return (1); /* initialization successfull, useGPU = 1 */
}
/* ========================================================================== */
/* === gpu_reorder_descendants ============================================== */
/* ========================================================================== */
/* Reorder the descendant supernodes as:
* 1st - descendant supernodes eligible for processing on the GPU
* in increasing (by flops) order
* 2nd - supernodes whose processing is to remain on the CPU
* in any order
*
* All of the GPU-eligible supernodes will be scheduled first. All
* CPU-eligible descendants will overlap with the last (largest)
* CHOLMOD_HOST_SUPERNODE_BUFFERS GPU-eligible descendants.
*/
void TEMPLATE2 (CHOLMOD (gpu_reorder_descendants))
(
cholmod_common *Common,
Int *Super,
Int *locals,
Int *Lpi,
Int *Lpos,
Int *Head,
Int *Next,
Int *Previous,
Int *ndescendants,
Int *tail,
Int *mapCreatedOnGpu,
cholmod_gpu_pointers *gpu_p
)
{
Int prevd, nextd, firstcpu, d, k, kd1, kd2, ndcol, pdi, pdend, pdi1;
Int dnext, ndrow2, p;
Int n_descendant = 0;
double score;
/* use h_Lx[0] to buffer the GPU-eligible descendants */
struct cholmod_descendant_score_t* scores =
(struct cholmod_descendant_score_t*) gpu_p->h_Lx[0];
double cpuref = 0.0;
int nreverse = 1;
int previousd;
d = Head[*locals];
prevd = -1;
firstcpu = -1;
*mapCreatedOnGpu = 0;
while ( d != EMPTY )
{
/* Get the parameters for the current descendant supernode */
kd1 = Super [d] ; /* d contains cols kd1 to kd2-1 of L */
kd2 = Super [d+1] ;
ndcol = kd2 - kd1 ; /* # of columns in all of d */
pdi = Lpi [d] ; /* pointer to first row of d in Ls */
pdend = Lpi [d+1] ; /* pointer just past last row of d in Ls */
p = Lpos [d] ; /* offset of 1st row of d affecting s */
pdi1 = pdi + p ; /* ptr to 1st row of d affecting s in Ls */
ndrow2 = pdend - pdi1;
nextd = Next[d];
/* compute a rough flops 'score' for this descendant supernode */
score = ndrow2 * ndcol;
if ( ndrow2*L_ENTRY >= CHOLMOD_ND_ROW_LIMIT &&
ndcol*L_ENTRY >= CHOLMOD_ND_COL_LIMIT ) {
score += Common->devBuffSize;
}
/* place in sort buffer */
scores[n_descendant].score = score;
scores[n_descendant].d = d;
n_descendant++;
d = nextd;
}
#ifdef WIN32
typedef int(*__compar_fn_t) (const void *, const void *);
#endif
/* Sort the GPU-eligible supernodes */
qsort ( scores, n_descendant, sizeof(struct cholmod_descendant_score_t),
(__compar_fn_t) CHOLMOD(score_comp) );
/* Place sorted data back in descendant supernode linked list*/
if ( n_descendant > 0 ) {
Head[*locals] = scores[0].d;
if ( n_descendant > 1 ) {
#pragma omp parallel for num_threads(CHOLMOD_OMP_NUM_THREADS) \
if (n_descendant > 64)
for ( k=1; k<n_descendant; k++ ) {
Next[scores[k-1].d] = scores[k].d;
}
}
Next[scores[n_descendant-1].d] = firstcpu;
}
/* reverse the first CHOLMOD_HOST_SUPERNODE_BUFFERS to better hide PCIe
communications */
if ( Head[*locals] != EMPTY && Next[Head[*locals]] != EMPTY ) {
previousd = Head[*locals];
d = Next[Head[*locals]];
while ( d!=EMPTY && nreverse < CHOLMOD_HOST_SUPERNODE_BUFFERS ) {
kd1 = Super [d] ; /* d contains cols kd1 to kd2-1 of L */
kd2 = Super [d+1] ;
ndcol = kd2 - kd1 ; /* # of columns in all of d */
pdi = Lpi [d] ; /* pointer to first row of d in Ls */
pdend = Lpi [d+1] ; /* pointer just past last row of d in Ls */
p = Lpos [d] ; /* offset of 1st row of d affecting s */
pdi1 = pdi + p ; /* ptr to 1st row of d affecting s in Ls */
ndrow2 = pdend - pdi1;
nextd = Next[d];
nreverse++;
if ( ndrow2*L_ENTRY >= CHOLMOD_ND_ROW_LIMIT && ndcol*L_ENTRY >=
CHOLMOD_ND_COL_LIMIT ) {
/* place this supernode at the front of the list */
Next[previousd] = Next[d];
Next[d] = Head[*locals];
Head[*locals] = d;
}
else {
previousd = d;
}
d = nextd;
}
}
/* create a 'previous' list so we can traverse backwards */
*ndescendants = 0;
if ( Head[*locals] != EMPTY ) {
Previous[Head[*locals]] = EMPTY;
for (d = Head [*locals] ; d != EMPTY ; d = dnext) {
(*ndescendants)++;
dnext = Next[d];
if ( dnext != EMPTY ) {
Previous[dnext] = d;
}
else {
*tail = d;
}
}
}
return;
}
/* ========================================================================== */
/* === gpu_initialize_supernode ============================================= */
/* ========================================================================== */
/* C = L (k1:n-1, kd1:kd2-1) * L (k1:k2-1, kd1:kd2-1)', except that k1:n-1
*/
void TEMPLATE2 (CHOLMOD (gpu_initialize_supernode))
(
cholmod_common *Common,
Int nscol,
Int nsrow,
Int psi,
cholmod_gpu_pointers *gpu_p
)
{
cudaError_t cuErr;
/* initialize the device supernode assemby memory to zero */
cuErr = cudaMemset ( gpu_p->d_A[0], 0, nscol*nsrow*L_ENTRY*sizeof(double) );
CHOLMOD_HANDLE_CUDA_ERROR(cuErr,"cudaMemset(d_A)");
/* Create the Map on the device */
createMapOnDevice ( (Int *)(gpu_p->d_Map),
(Int *)(gpu_p->d_Ls), psi, nsrow );
return;
}
/* ========================================================================== */
/* === gpu_updateC ========================================================== */
/* ========================================================================== */
/* C = L (k1:n-1, kd1:kd2-1) * L (k1:k2-1, kd1:kd2-1)', except that k1:n-1
* refers to all of the rows in L, but many of the rows are all zero.
* Supernode d holds columns kd1 to kd2-1 of L. Nonzero rows in the range
* k1:k2-1 are in the list Ls [pdi1 ... pdi2-1], of size ndrow1. Nonzero rows
* in the range k2:n-1 are in the list Ls [pdi2 ... pdend], of size ndrow2.
* Let L1 = L (Ls [pdi1 ... pdi2-1], kd1:kd2-1), and let L2 = L (Ls [pdi2 ...
* pdend], kd1:kd2-1). C is ndrow2-by-ndrow1. Let C1 be the first ndrow1
* rows of C and let C2 be the last ndrow2-ndrow1 rows of C. Only the lower
* triangular part of C1 needs to be computed since C1 is symmetric.
*
* UpdateC is completely asynchronous w.r.t. the GPU. Once the input buffer
* d_Lx[] has been filled, all of the device operations are issues, and the
* host can continue with filling the next input buffer / or start processing
* all of the descendant supernodes which are not eligible for processing on
* the device (since they are too small - will not fill the device).
*/
int TEMPLATE2 (CHOLMOD (gpu_updateC))
(
Int ndrow1, /* C is ndrow2-by-ndrow2 */
Int ndrow2,
Int ndrow, /* leading dimension of Lx */
Int ndcol, /* L1 is ndrow1-by-ndcol */
Int nsrow,
Int pdx1, /* L1 starts at Lx + L_ENTRY*pdx1 */
/* L2 starts at Lx + L_ENTRY*(pdx1 + ndrow1) */
Int pdi1,
double *Lx,
double *C,
cholmod_common *Common,
cholmod_gpu_pointers *gpu_p
)
{
double *devPtrLx, *devPtrC ;
double alpha, beta ;
cublasStatus_t cublasStatus ;
cudaError_t cudaStat [2] ;
Int ndrow3 ;
int icol, irow;
int iHostBuff, iDevBuff ;
#ifndef NTIMER
double tstart = 0;
#endif
if ((ndrow2*L_ENTRY < CHOLMOD_ND_ROW_LIMIT) ||
(ndcol*L_ENTRY < CHOLMOD_ND_COL_LIMIT))
{
/* too small for the CUDA BLAS; use the CPU instead */
return (0) ;
}
ndrow3 = ndrow2 - ndrow1 ;
#ifndef NTIMER
Common->syrkStart = SuiteSparse_time ( ) ;
Common->CHOLMOD_GPU_SYRK_CALLS++ ;
#endif
/* ---------------------------------------------------------------------- */
/* allocate workspace on the GPU */
/* ---------------------------------------------------------------------- */
iHostBuff = (Common->ibuffer)%CHOLMOD_HOST_SUPERNODE_BUFFERS;
iDevBuff = (Common->ibuffer)%CHOLMOD_DEVICE_STREAMS;
/* cycle the device Lx buffer, d_Lx, through CHOLMOD_DEVICE_STREAMS,
usually 2, so we can overlap the copy of this descendent supernode
with the compute of the previous descendant supernode */
devPtrLx = (double *)(gpu_p->d_Lx[iDevBuff]);
/* very little overlap between kernels for difference descendant supernodes
(since we enforce the supernodes must be large enough to fill the
device) so we only need one C buffer */
devPtrC = (double *)(gpu_p->d_C);
/* ---------------------------------------------------------------------- */
/* copy Lx to the GPU */
/* ---------------------------------------------------------------------- */
/* copy host data to pinned buffer first for better H2D bandwidth */
#pragma omp parallel for num_threads(CHOLMOD_OMP_NUM_THREADS) if (ndcol > 32)
for ( icol=0; icol<ndcol; icol++ ) {
for ( irow=0; irow<ndrow2*L_ENTRY; irow++ ) {
gpu_p->h_Lx[iHostBuff][icol*ndrow2*L_ENTRY+irow] =
Lx[pdx1*L_ENTRY+icol*ndrow*L_ENTRY + irow];
}
}
cudaStat[0] = cudaMemcpyAsync ( devPtrLx,
gpu_p->h_Lx[iHostBuff],
ndrow2*ndcol*L_ENTRY*sizeof(devPtrLx[0]),
cudaMemcpyHostToDevice,
Common->gpuStream[iDevBuff] );
if ( cudaStat[0] ) {
CHOLMOD_GPU_PRINTF ((" ERROR cudaMemcpyAsync = %d \n", cudaStat[0]));
return (0);
}
/* make the current stream wait for kernels in previous streams */
cudaStreamWaitEvent ( Common->gpuStream[iDevBuff],
Common->updateCKernelsComplete, 0 ) ;
/* ---------------------------------------------------------------------- */
/* create the relative map for this descendant supernode */
/* ---------------------------------------------------------------------- */
createRelativeMapOnDevice ( (Int *)(gpu_p->d_Map),
(Int *)(gpu_p->d_Ls),
(Int *)(gpu_p->d_RelativeMap),
pdi1, ndrow2,
&(Common->gpuStream[iDevBuff]) );
/* ---------------------------------------------------------------------- */
/* do the CUDA SYRK */
/* ---------------------------------------------------------------------- */
cublasStatus = cublasSetStream (Common->cublasHandle,
Common->gpuStream[iDevBuff]) ;
if (cublasStatus != CUBLAS_STATUS_SUCCESS)
{
ERROR (CHOLMOD_GPU_PROBLEM, "GPU CUBLAS stream") ;
}
alpha = 1.0 ;
beta = 0.0 ;
#ifdef REAL
cublasStatus = cublasDsyrk (Common->cublasHandle,
CUBLAS_FILL_MODE_LOWER,
CUBLAS_OP_N,
(int) ndrow1,
(int) ndcol, /* N, K: L1 is ndrow1-by-ndcol */
&alpha, /* ALPHA: 1 */
devPtrLx,
ndrow2, /* A, LDA: L1, ndrow2 */
&beta, /* BETA: 0 */
devPtrC,
ndrow2) ; /* C, LDC: C1 */
#else
cublasStatus = cublasZherk (Common->cublasHandle,
CUBLAS_FILL_MODE_LOWER,
CUBLAS_OP_N,
(int) ndrow1,
(int) ndcol, /* N, K: L1 is ndrow1-by-ndcol*/
&alpha, /* ALPHA: 1 */
(const cuDoubleComplex *) devPtrLx,
ndrow2, /* A, LDA: L1, ndrow2 */
&beta, /* BETA: 0 */
(cuDoubleComplex *) devPtrC,
ndrow2) ; /* C, LDC: C1 */
#endif
if (cublasStatus != CUBLAS_STATUS_SUCCESS)
{
ERROR (CHOLMOD_GPU_PROBLEM, "GPU CUBLAS routine failure") ;
}
#ifndef NTIMER
Common->CHOLMOD_GPU_SYRK_TIME += SuiteSparse_time() - Common->syrkStart;
#endif
/* ---------------------------------------------------------------------- */
/* compute remaining (ndrow2-ndrow1)-by-ndrow1 block of C, C2 = L2*L1' */
/* ---------------------------------------------------------------------- */
#ifndef NTIMER
Common->CHOLMOD_GPU_GEMM_CALLS++ ;
tstart = SuiteSparse_time();
#endif
if (ndrow3 > 0)
{
#ifndef REAL
cuDoubleComplex calpha = {1.0,0.0} ;
cuDoubleComplex cbeta = {0.0,0.0} ;
#endif
/* ------------------------------------------------------------------ */
/* do the CUDA BLAS dgemm */
/* ------------------------------------------------------------------ */
#ifdef REAL
alpha = 1.0 ;
beta = 0.0 ;
cublasStatus = cublasDgemm (Common->cublasHandle,
CUBLAS_OP_N, CUBLAS_OP_T,
ndrow3, ndrow1, ndcol, /* M, N, K */
&alpha, /* ALPHA: 1 */
devPtrLx + L_ENTRY*(ndrow1), /* A, LDA: L2*/
ndrow2, /* ndrow */
devPtrLx, /* B, LDB: L1 */
ndrow2, /* ndrow */
&beta, /* BETA: 0 */
devPtrC + L_ENTRY*ndrow1, /* C, LDC: C2 */
ndrow2) ;
#else
cublasStatus = cublasZgemm (Common->cublasHandle,
CUBLAS_OP_N, CUBLAS_OP_C,
ndrow3, ndrow1, ndcol, /* M, N, K */
&calpha, /* ALPHA: 1 */
(const cuDoubleComplex*) devPtrLx + ndrow1,
ndrow2, /* ndrow */
(const cuDoubleComplex *) devPtrLx,
ndrow2, /* ndrow */
&cbeta, /* BETA: 0 */
(cuDoubleComplex *)devPtrC + ndrow1,
ndrow2) ;
#endif
if (cublasStatus != CUBLAS_STATUS_SUCCESS)
{
ERROR (CHOLMOD_GPU_PROBLEM, "GPU CUBLAS routine failure") ;
}
}
#ifndef NTIMER
Common->CHOLMOD_GPU_GEMM_TIME += SuiteSparse_time() - tstart;
#endif
/* ------------------------------------------------------------------ */
/* Assemble the update C on the device using the d_RelativeMap */
/* ------------------------------------------------------------------ */
#ifdef REAL
addUpdateOnDevice ( gpu_p->d_A[0], devPtrC,
gpu_p->d_RelativeMap, ndrow1, ndrow2, nsrow,
&(Common->gpuStream[iDevBuff]) );
#else
addComplexUpdateOnDevice ( gpu_p->d_A[0], devPtrC,
gpu_p->d_RelativeMap, ndrow1, ndrow2, nsrow,
&(Common->gpuStream[iDevBuff]) );
#endif
/* Record an event indicating that kernels for
this descendant are complete */
cudaEventRecord ( Common->updateCKernelsComplete,
Common->gpuStream[iDevBuff]);
cudaEventRecord ( Common->updateCBuffersFree[iHostBuff],
Common->gpuStream[iDevBuff]);
return (1) ;
}
/* ========================================================================== */
/* === gpu_final_assembly =================================================== */
/* ========================================================================== */
/* If the supernode was assembled on both the CPU and the GPU, this will
* complete the supernode assembly on both the GPU and CPU.
*/
void TEMPLATE2 (CHOLMOD (gpu_final_assembly))
(
cholmod_common *Common,
double *Lx,
Int psx,
Int nscol,
Int nsrow,
int supernodeUsedGPU,
int *iHostBuff,
int *iDevBuff,
cholmod_gpu_pointers *gpu_p
)
{
Int iidx, i, j;
Int iHostBuff2 ;
Int iDevBuff2 ;
if ( supernodeUsedGPU ) {
/* ------------------------------------------------------------------ */
/* Apply all of the Shur-complement updates, computed on the gpu, to */
/* the supernode. */
/* ------------------------------------------------------------------ */
*iHostBuff = (Common->ibuffer)%CHOLMOD_HOST_SUPERNODE_BUFFERS;
*iDevBuff = (Common->ibuffer)%CHOLMOD_DEVICE_STREAMS;
if ( nscol * L_ENTRY >= CHOLMOD_POTRF_LIMIT ) {
/* If this supernode is going to be factored using the GPU (potrf)
* then it will need the portion of the update assembled ont the
* CPU. So copy that to a pinned buffer an H2D copy to device. */
/* wait until a buffer is free */
cudaEventSynchronize ( Common->updateCBuffersFree[*iHostBuff] );
/* copy update assembled on CPU to a pinned buffer */
#pragma omp parallel for num_threads(CHOLMOD_OMP_NUM_THREADS) \
private(iidx) if (nscol>32)
for ( j=0; j<nscol; j++ ) {
for ( i=j; i<nsrow*L_ENTRY; i++ ) {
iidx = j*nsrow*L_ENTRY+i;
gpu_p->h_Lx[*iHostBuff][iidx] = Lx[psx*L_ENTRY+iidx];
}
}
/* H2D transfer of update assembled on CPU */
cudaMemcpyAsync ( gpu_p->d_A[1], gpu_p->h_Lx[*iHostBuff],
nscol*nsrow*L_ENTRY*sizeof(double),
cudaMemcpyHostToDevice,
Common->gpuStream[*iDevBuff] );
}
Common->ibuffer++;
iHostBuff2 = (Common->ibuffer)%CHOLMOD_HOST_SUPERNODE_BUFFERS;
iDevBuff2 = (Common->ibuffer)%CHOLMOD_DEVICE_STREAMS;
/* wait for all kernels to complete */
cudaEventSynchronize( Common->updateCKernelsComplete );
/* copy assembled Schur-complement updates computed on GPU */
cudaMemcpyAsync ( gpu_p->h_Lx[iHostBuff2], gpu_p->d_A[0],
nscol*nsrow*L_ENTRY*sizeof(double),
cudaMemcpyDeviceToHost,
Common->gpuStream[iDevBuff2] );
if ( nscol * L_ENTRY >= CHOLMOD_POTRF_LIMIT ) {
/* with the current implementation, potrf still uses data from the
* CPU - so put the fully assembled supernode in a pinned buffer for
* fastest access */
/* need both H2D and D2H copies to be complete */
cudaDeviceSynchronize();
/* sum updates from cpu and device on device */
#ifdef REAL
sumAOnDevice ( gpu_p->d_A[1], gpu_p->d_A[0], -1.0, nsrow, nscol );
#else
sumComplexAOnDevice ( gpu_p->d_A[1], gpu_p->d_A[0],
-1.0, nsrow, nscol );
#endif
/* place final assembled supernode in pinned buffer */
#pragma omp parallel for num_threads(CHOLMOD_OMP_NUM_THREADS) \
private(iidx) if (nscol>32)
for ( j=0; j<nscol; j++ ) {
for ( i=j*L_ENTRY; i<nscol*L_ENTRY; i++ ) {
iidx = j*nsrow*L_ENTRY+i;
gpu_p->h_Lx[*iHostBuff][iidx] -=
gpu_p->h_Lx[iHostBuff2][iidx];
}
}
}
else
{
/* assemble with CPU updates */
cudaDeviceSynchronize();
#pragma omp parallel for num_threads(CHOLMOD_OMP_NUM_THREADS) \
private(iidx) if (nscol>32)
for ( j=0; j<nscol; j++ ) {
for ( i=j*L_ENTRY; i<nsrow*L_ENTRY; i++ ) {
iidx = j*nsrow*L_ENTRY+i;
Lx[psx*L_ENTRY+iidx] -= gpu_p->h_Lx[iHostBuff2][iidx];
}
}
}
}
return;
}
/* ========================================================================== */
/* === gpu_lower_potrf ====================================================== */
/* ========================================================================== */
/* Cholesky factorzation (dpotrf) of a matrix S, operating on the lower
* triangular part only. S is nscol2-by-nscol2 with leading dimension nsrow.
*
* S is the top part of the supernode (the lower triangular matrx).
* This function also copies the bottom rectangular part of the supernode (B)
* onto the GPU, in preparation for gpu_triangular_solve.
*/
/*
* On entry, d_A[1] contains the fully assembled supernode
*/
int TEMPLATE2 (CHOLMOD (gpu_lower_potrf))
(
Int nscol2, /* S is nscol2-by-nscol2 */
Int nsrow, /* leading dimension of S */
Int psx, /* S is located at Lx + L_ENTRY*psx */
double *Lx, /* contains S; overwritten with Cholesky factor */
Int *info, /* BLAS info return value */
cholmod_common *Common,
cholmod_gpu_pointers *gpu_p
)
{
double *devPtrA, *devPtrB, *A ;
double alpha, beta ;
cudaError_t cudaStat ;
cublasStatus_t cublasStatus ;
Int j, nsrow2, nb, n, gpu_lda, lda, gpu_ldb ;
int ilda, ijb, iinfo ;
#ifndef NTIMER
double tstart ;
#endif
if (nscol2 * L_ENTRY < CHOLMOD_POTRF_LIMIT)
{
/* too small for the CUDA BLAS; use the CPU instead */
return (0) ;
}
#ifndef NTIMER
tstart = SuiteSparse_time ( ) ;
Common->CHOLMOD_GPU_POTRF_CALLS++ ;
#endif
nsrow2 = nsrow - nscol2 ;
/* ---------------------------------------------------------------------- */
/* heuristic to get the block size depending of the problem size */
/* ---------------------------------------------------------------------- */
nb = 128 ;
if (nscol2 > 4096) nb = 256 ;
if (nscol2 > 8192) nb = 384 ;
n = nscol2 ;
gpu_lda = ((nscol2+31)/32)*32 ;
lda = nsrow ;
A = gpu_p->h_Lx[(Common->ibuffer+CHOLMOD_HOST_SUPERNODE_BUFFERS-1)%
CHOLMOD_HOST_SUPERNODE_BUFFERS];
/* ---------------------------------------------------------------------- */
/* determine the GPU leading dimension of B */
/* ---------------------------------------------------------------------- */
gpu_ldb = 0 ;
if (nsrow2 > 0)
{
gpu_ldb = ((nsrow2+31)/32)*32 ;
}
/* ---------------------------------------------------------------------- */
/* remember where device memory is, to be used by triangular solve later */
/* ---------------------------------------------------------------------- */
devPtrA = gpu_p->d_Lx[0];
devPtrB = gpu_p->d_Lx[1];
/* ---------------------------------------------------------------------- */
/* copy A from device to device */
/* ---------------------------------------------------------------------- */
cudaStat = cudaMemcpy2DAsync ( devPtrA,
gpu_lda * L_ENTRY * sizeof (devPtrA[0]),
gpu_p->d_A[1],
nsrow * L_ENTRY * sizeof (Lx[0]),
nscol2 * L_ENTRY * sizeof (devPtrA[0]),
nscol2,
cudaMemcpyDeviceToDevice,
Common->gpuStream[0] );
if ( cudaStat ) {
ERROR ( CHOLMOD_GPU_PROBLEM, "GPU memcopy device to device");
}
/* ---------------------------------------------------------------------- */
/* copy B in advance, for gpu_triangular_solve */
/* ---------------------------------------------------------------------- */
if (nsrow2 > 0)
{
cudaStat = cudaMemcpy2DAsync (devPtrB,
gpu_ldb * L_ENTRY * sizeof (devPtrB [0]),
gpu_p->d_A[1] + L_ENTRY*nscol2,
nsrow * L_ENTRY * sizeof (Lx [0]),
nsrow2 * L_ENTRY * sizeof (devPtrB [0]),
nscol2,
cudaMemcpyDeviceToDevice,
Common->gpuStream[0]) ;
if (cudaStat)
{
ERROR (CHOLMOD_GPU_PROBLEM, "GPU memcopy to device") ;
}
}
/* ------------------------------------------------------------------ */
/* define the dpotrf stream */
/* ------------------------------------------------------------------ */
cublasStatus = cublasSetStream (Common->cublasHandle,
Common->gpuStream [0]) ;
if (cublasStatus != CUBLAS_STATUS_SUCCESS) {
ERROR (CHOLMOD_GPU_PROBLEM, "GPU CUBLAS stream") ;
}
/* ---------------------------------------------------------------------- */
/* block Cholesky factorization of S */
/* ---------------------------------------------------------------------- */
for (j = 0 ; j < n ; j += nb)
{
Int jb = nb < (n-j) ? nb : (n-j) ;
/* ------------------------------------------------------------------ */
/* do the CUDA BLAS dsyrk */
/* ------------------------------------------------------------------ */
alpha = -1.0 ;
beta = 1.0 ;
#ifdef REAL
cublasStatus = cublasDsyrk (Common->cublasHandle,
CUBLAS_FILL_MODE_LOWER, CUBLAS_OP_N, jb, j,
&alpha, devPtrA + j, gpu_lda,
&beta, devPtrA + j + j*gpu_lda, gpu_lda) ;
#else
cublasStatus = cublasZherk (Common->cublasHandle,
CUBLAS_FILL_MODE_LOWER, CUBLAS_OP_N, jb, j,
&alpha, (cuDoubleComplex*)devPtrA + j,
gpu_lda,
&beta,
(cuDoubleComplex*)devPtrA + j + j*gpu_lda,
gpu_lda) ;
#endif
if (cublasStatus != CUBLAS_STATUS_SUCCESS)
{
ERROR (CHOLMOD_GPU_PROBLEM, "GPU CUBLAS routine failure") ;
}
/* ------------------------------------------------------------------ */
cudaStat = cudaEventRecord (Common->cublasEventPotrf [0],
Common->gpuStream [0]) ;
if (cudaStat)
{
ERROR (CHOLMOD_GPU_PROBLEM, "CUDA event failure") ;
}
cudaStat = cudaStreamWaitEvent (Common->gpuStream [1],
Common->cublasEventPotrf [0], 0) ;
if (cudaStat)
{
ERROR (CHOLMOD_GPU_PROBLEM, "CUDA event failure") ;
}
/* ------------------------------------------------------------------ */
/* copy back the jb columns on two different streams */
/* ------------------------------------------------------------------ */
cudaStat = cudaMemcpy2DAsync (A + L_ENTRY*(j + j*lda),
lda * L_ENTRY * sizeof (double),
devPtrA + L_ENTRY*(j + j*gpu_lda),
gpu_lda * L_ENTRY * sizeof (double),
L_ENTRY * sizeof (double)*jb,
jb,
cudaMemcpyDeviceToHost,
Common->gpuStream [1]) ;
if (cudaStat)
{
ERROR (CHOLMOD_GPU_PROBLEM, "GPU memcopy from device") ;
}
/* ------------------------------------------------------------------ */
/* do the CUDA BLAS dgemm */
/* ------------------------------------------------------------------ */
if ((j+jb) < n)
{
#ifdef REAL
alpha = -1.0 ;
beta = 1.0 ;
cublasStatus = cublasDgemm (Common->cublasHandle,
CUBLAS_OP_N, CUBLAS_OP_T,
(n-j-jb), jb, j,
&alpha,
devPtrA + (j+jb), gpu_lda,
devPtrA + (j) , gpu_lda,
&beta,
devPtrA + (j+jb + j*gpu_lda), gpu_lda) ;
#else
cuDoubleComplex calpha = {-1.0,0.0} ;
cuDoubleComplex cbeta = { 1.0,0.0} ;
cublasStatus = cublasZgemm (Common->cublasHandle,
CUBLAS_OP_N, CUBLAS_OP_C,
(n-j-jb), jb, j,
&calpha,
(cuDoubleComplex*)devPtrA + (j+jb),
gpu_lda,
(cuDoubleComplex*)devPtrA + (j),
gpu_lda,
&cbeta,
(cuDoubleComplex*)devPtrA +
(j+jb + j*gpu_lda),
gpu_lda ) ;
#endif
if (cublasStatus != CUBLAS_STATUS_SUCCESS)
{
ERROR (CHOLMOD_GPU_PROBLEM, "GPU CUBLAS routine failure") ;
}
}
cudaStat = cudaStreamSynchronize (Common->gpuStream [1]) ;
if (cudaStat)
{
ERROR (CHOLMOD_GPU_PROBLEM, "GPU memcopy to device") ;
}
/* ------------------------------------------------------------------ */
/* compute the Cholesky factorization of the jbxjb block on the CPU */
/* ------------------------------------------------------------------ */
ilda = (int) lda ;
ijb = jb ;
#ifdef REAL
LAPACK_DPOTRF ("L", &ijb, A + L_ENTRY * (j + j*lda), &ilda, &iinfo) ;
#else
LAPACK_ZPOTRF ("L", &ijb, A + L_ENTRY * (j + j*lda), &ilda, &iinfo) ;
#endif
*info = iinfo ;
if (*info != 0)
{
*info = *info + j ;
break ;
}
/* ------------------------------------------------------------------ */
/* copy the result back to the GPU */
/* ------------------------------------------------------------------ */
cudaStat = cudaMemcpy2DAsync (devPtrA + L_ENTRY*(j + j*gpu_lda),
gpu_lda * L_ENTRY * sizeof (double),
A + L_ENTRY * (j + j*lda),
lda * L_ENTRY * sizeof (double),
L_ENTRY * sizeof (double) * jb,
jb,
cudaMemcpyHostToDevice,
Common->gpuStream [0]) ;
if (cudaStat)
{
ERROR (CHOLMOD_GPU_PROBLEM, "GPU memcopy to device") ;
}
/* ------------------------------------------------------------------ */
/* do the CUDA BLAS dtrsm */
/* ------------------------------------------------------------------ */
if ((j+jb) < n)
{
#ifdef REAL
alpha = 1.0 ;
cublasStatus = cublasDtrsm (Common->cublasHandle,
CUBLAS_SIDE_RIGHT,
CUBLAS_FILL_MODE_LOWER,
CUBLAS_OP_T, CUBLAS_DIAG_NON_UNIT,
(n-j-jb), jb,
&alpha,
devPtrA + (j + j*gpu_lda), gpu_lda,
devPtrA + (j+jb + j*gpu_lda), gpu_lda) ;
#else
cuDoubleComplex calpha = {1.0,0.0};
cublasStatus = cublasZtrsm (Common->cublasHandle,
CUBLAS_SIDE_RIGHT,
CUBLAS_FILL_MODE_LOWER,
CUBLAS_OP_C, CUBLAS_DIAG_NON_UNIT,
(n-j-jb), jb,
&calpha,
(cuDoubleComplex *)devPtrA +
(j + j*gpu_lda),
gpu_lda,
(cuDoubleComplex *)devPtrA +
(j+jb + j*gpu_lda),
gpu_lda) ;
#endif
if (cublasStatus != CUBLAS_STATUS_SUCCESS)
{
ERROR (CHOLMOD_GPU_PROBLEM, "GPU CUBLAS routine failure") ;
}
/* -------------------------------------------------------------- */
/* Copy factored column back to host. */
/* -------------------------------------------------------------- */
cudaStat = cudaEventRecord (Common->cublasEventPotrf[2],
Common->gpuStream[0]) ;
if (cudaStat)
{
ERROR (CHOLMOD_GPU_PROBLEM, "CUDA event failure") ;
}
cudaStat = cudaStreamWaitEvent (Common->gpuStream[1],
Common->cublasEventPotrf[2], 0) ;
if (cudaStat)
{
ERROR (CHOLMOD_GPU_PROBLEM, "CUDA event failure") ;
}
cudaStat = cudaMemcpy2DAsync (A + L_ENTRY*(j + jb + j * lda),
lda * L_ENTRY * sizeof (double),
devPtrA + L_ENTRY*
(j + jb + j * gpu_lda),
gpu_lda * L_ENTRY * sizeof (double),
L_ENTRY * sizeof (double)*
(n - j - jb), jb,
cudaMemcpyDeviceToHost,
Common->gpuStream[1]) ;
if (cudaStat)
{
ERROR (CHOLMOD_GPU_PROBLEM, "GPU memcopy to device") ;
}
}
}
#ifndef NTIMER
Common->CHOLMOD_GPU_POTRF_TIME += SuiteSparse_time ( ) - tstart ;
#endif
return (1) ;
}
/* ========================================================================== */
/* === gpu_triangular_solve ================================================= */
/* ========================================================================== */
/* The current supernode is columns k1 to k2-1 of L. Let L1 be the diagonal
* block (factorized by dpotrf/zpotrf above; rows/cols k1:k2-1), and L2 be rows
* k2:n-1 and columns k1:k2-1 of L. The triangular system to solve is L2*L1' =
* S2, where S2 is overwritten with L2. More precisely, L2 = S2 / L1' in
* MATLAB notation.
*/
/* Version with pre-allocation in POTRF */
int TEMPLATE2 (CHOLMOD (gpu_triangular_solve))
(
Int nsrow2, /* L1 and S2 are nsrow2-by-nscol2 */
Int nscol2, /* L1 is nscol2-by-nscol2 */
Int nsrow, /* leading dimension of L1, L2, and S2 */
Int psx, /* L1 is at Lx+L_ENTRY*psx;
* L2 at Lx+L_ENTRY*(psx+nscol2)*/
double *Lx, /* holds L1, L2, and S2 */
cholmod_common *Common,
cholmod_gpu_pointers *gpu_p
)
{
double *devPtrA, *devPtrB ;
cudaError_t cudaStat ;
cublasStatus_t cublasStatus ;
Int gpu_lda, gpu_ldb, gpu_rowstep ;
Int gpu_row_start = 0 ;
Int gpu_row_max_chunk, gpu_row_chunk;
int ibuf = 0;
int iblock = 0;
int iHostBuff = (Common->ibuffer+CHOLMOD_HOST_SUPERNODE_BUFFERS-1) %
CHOLMOD_HOST_SUPERNODE_BUFFERS;
int i, j;
Int iidx;
int iwrap;
#ifndef NTIMER
double tstart ;
#endif
#ifdef REAL
double alpha = 1.0 ;
gpu_row_max_chunk = 768;
#else
cuDoubleComplex calpha = {1.0,0.0} ;
gpu_row_max_chunk = 256;
#endif
if ( nsrow2 <= 0 )
{
return (0) ;
}
#ifndef NTIMER
tstart = SuiteSparse_time ( ) ;
Common->CHOLMOD_GPU_TRSM_CALLS++ ;
#endif
gpu_lda = ((nscol2+31)/32)*32 ;
gpu_ldb = ((nsrow2+31)/32)*32 ;
devPtrA = gpu_p->d_Lx[0];
devPtrB = gpu_p->d_Lx[1];
/* make sure the copy of B has completed */
cudaStreamSynchronize( Common->gpuStream[0] );
/* ---------------------------------------------------------------------- */
/* do the CUDA BLAS dtrsm */
/* ---------------------------------------------------------------------- */
while ( gpu_row_start < nsrow2 )
{
gpu_row_chunk = nsrow2 - gpu_row_start;
if ( gpu_row_chunk > gpu_row_max_chunk ) {
gpu_row_chunk = gpu_row_max_chunk;
}
cublasStatus = cublasSetStream ( Common->cublasHandle,
Common->gpuStream[ibuf] );
if ( cublasStatus != CUBLAS_STATUS_SUCCESS )
{
ERROR ( CHOLMOD_GPU_PROBLEM, "GPU CUBLAS stream");
}
#ifdef REAL
cublasStatus = cublasDtrsm (Common->cublasHandle,
CUBLAS_SIDE_RIGHT,
CUBLAS_FILL_MODE_LOWER,
CUBLAS_OP_T,
CUBLAS_DIAG_NON_UNIT,
gpu_row_chunk,
nscol2,
&alpha,
devPtrA,
gpu_lda,
devPtrB + gpu_row_start,
gpu_ldb) ;
#else
cublasStatus = cublasZtrsm (Common->cublasHandle,
CUBLAS_SIDE_RIGHT,
CUBLAS_FILL_MODE_LOWER,
CUBLAS_OP_C,
CUBLAS_DIAG_NON_UNIT,
gpu_row_chunk,
nscol2,
&calpha,
(const cuDoubleComplex *) devPtrA,
gpu_lda,
(cuDoubleComplex *)devPtrB + gpu_row_start ,
gpu_ldb) ;
#endif
if (cublasStatus != CUBLAS_STATUS_SUCCESS)
{
ERROR (CHOLMOD_GPU_PROBLEM, "GPU CUBLAS routine failure") ;
}
/* ------------------------------------------------------------------ */
/* copy result back to the CPU */
/* ------------------------------------------------------------------ */
cudaStat = cudaMemcpy2DAsync (
gpu_p->h_Lx[iHostBuff] +
L_ENTRY*(nscol2+gpu_row_start),
nsrow * L_ENTRY * sizeof (Lx [0]),
devPtrB + L_ENTRY*gpu_row_start,
gpu_ldb * L_ENTRY * sizeof (devPtrB [0]),
gpu_row_chunk * L_ENTRY *
sizeof (devPtrB [0]),
nscol2,
cudaMemcpyDeviceToHost,
Common->gpuStream[ibuf]);
if (cudaStat)
{
ERROR (CHOLMOD_GPU_PROBLEM, "GPU memcopy from device") ;
}
cudaEventRecord ( Common->updateCBuffersFree[ibuf],
Common->gpuStream[ibuf] );
gpu_row_start += gpu_row_chunk;
ibuf++;
ibuf = ibuf % CHOLMOD_HOST_SUPERNODE_BUFFERS;
iblock ++;
if ( iblock >= CHOLMOD_HOST_SUPERNODE_BUFFERS )
{
Int gpu_row_start2 ;
Int gpu_row_end ;
/* then CHOLMOD_HOST_SUPERNODE_BUFFERS worth of work has been
* scheduled, so check for completed events and copy result into
* Lx before continuing. */
cudaEventSynchronize ( Common->updateCBuffersFree
[iblock%CHOLMOD_HOST_SUPERNODE_BUFFERS] );
/* copy into Lx */
gpu_row_start2 = nscol2 +
(iblock-CHOLMOD_HOST_SUPERNODE_BUFFERS)
*gpu_row_max_chunk;
gpu_row_end = gpu_row_start2+gpu_row_max_chunk;
if ( gpu_row_end > nsrow ) gpu_row_end = nsrow;
#pragma omp parallel for num_threads(CHOLMOD_OMP_NUM_THREADS) \
private(iidx) if ( nscol2 > 32 )
for ( j=0; j<nscol2; j++ ) {
for ( i=gpu_row_start2*L_ENTRY; i<gpu_row_end*L_ENTRY; i++ ) {
iidx = j*nsrow*L_ENTRY+i;
Lx[psx*L_ENTRY+iidx] = gpu_p->h_Lx[iHostBuff][iidx];
}
}
}
}
/* Convenient to copy the L1 block here */
#pragma omp parallel for num_threads(CHOLMOD_OMP_NUM_THREADS) \
private ( iidx ) if ( nscol2 > 32 )
for ( j=0; j<nscol2; j++ ) {
for ( i=j*L_ENTRY; i<nscol2*L_ENTRY; i++ ) {
iidx = j*nsrow*L_ENTRY + i;
Lx[psx*L_ENTRY+iidx] = gpu_p->h_Lx[iHostBuff][iidx];
}
}
/* now account for the last HSTREAMS buffers */
for ( iwrap=0; iwrap<CHOLMOD_HOST_SUPERNODE_BUFFERS; iwrap++ )
{
int i, j;
Int gpu_row_start2 = nscol2 + (iblock-CHOLMOD_HOST_SUPERNODE_BUFFERS)
*gpu_row_max_chunk;
if (iblock-CHOLMOD_HOST_SUPERNODE_BUFFERS >= 0 &&
gpu_row_start2 < nsrow )
{
Int iidx;
Int gpu_row_end = gpu_row_start2+gpu_row_max_chunk;
if ( gpu_row_end > nsrow ) gpu_row_end = nsrow;
cudaEventSynchronize ( Common->updateCBuffersFree
[iblock%CHOLMOD_HOST_SUPERNODE_BUFFERS] );
/* copy into Lx */
#pragma omp parallel for num_threads(CHOLMOD_OMP_NUM_THREADS) \
private(iidx) if ( nscol2 > 32 )
for ( j=0; j<nscol2; j++ ) {
for ( i=gpu_row_start2*L_ENTRY; i<gpu_row_end*L_ENTRY; i++ ) {
iidx = j*nsrow*L_ENTRY+i;
Lx[psx*L_ENTRY+iidx] = gpu_p->h_Lx[iHostBuff][iidx];
}
}
}
iblock++;
}
/* ---------------------------------------------------------------------- */
/* return */
/* ---------------------------------------------------------------------- */
#ifndef NTIMER
Common->CHOLMOD_GPU_TRSM_TIME += SuiteSparse_time ( ) - tstart ;
#endif
return (1) ;
}
/* ========================================================================== */
/* === gpu_copy_supernode =================================================== */
/* ========================================================================== */
/*
* In the event gpu_triangular_sovle is not needed / called, this routine
* copies the factored diagonal block from the GPU to the CPU.
*/
void TEMPLATE2 (CHOLMOD (gpu_copy_supernode))
(
cholmod_common *Common,
double *Lx,
Int psx,
Int nscol,
Int nscol2,
Int nsrow,
int supernodeUsedGPU,
int iHostBuff,
cholmod_gpu_pointers *gpu_p
)
{
Int iidx, i, j;
if ( supernodeUsedGPU && nscol2 * L_ENTRY >= CHOLMOD_POTRF_LIMIT ) {
cudaDeviceSynchronize();
#pragma omp parallel for num_threads(CHOLMOD_OMP_NUM_THREADS) \
private(iidx,i,j) if (nscol>32)
for ( j=0; j<nscol; j++ ) {
for ( i=j*L_ENTRY; i<nscol*L_ENTRY; i++ ) {
iidx = j*nsrow*L_ENTRY+i;
Lx[psx*L_ENTRY+iidx] = gpu_p->h_Lx[iHostBuff][iidx];
}
}
}
return;
}
#endif
#undef REAL
#undef COMPLEX
#undef ZOMPLEX
|
single.c | // RUN: %libomp-compile-and-run | %sort-threads | FileCheck %s
// REQUIRES: ompt
// UNSUPPORTED: gcc-4, gcc-5, gcc-6, gcc-7, gcc-8
#include "callback.h"
#include <omp.h>
int main()
{
int x = 0;
#pragma omp parallel num_threads(2)
{
//implicit barrier at end of single
#pragma omp single
{
x++;
}
print_fuzzy_address();
//critical section to avoid merge of two barriers into one
#pragma omp critical
{
x++;
}
}
// Check if libomp supports the callbacks for this test.
// CHECK-NOT: {{^}}0: Could not register callback 'ompt_callback_sync_region'
// CHECK-NOT: {{^}}0: Could not register callback 'ompt_callback_sync_region_wait'
// CHECK: 0: NULL_POINTER=[[NULL:.*$]]
// master thread implicit barrier at single end
// CHECK: {{^}}[[MASTER_ID:[0-9]+]]: ompt_event_barrier_begin: parallel_id={{[0-9]+}}, task_id={{[0-9]+}}, codeptr_ra=[[RETURN_ADDRESS:0x[0-f]+]]{{[0-f][0-f]}}
// CHECK: {{^}}[[MASTER_ID]]: ompt_event_wait_barrier_begin: parallel_id={{[0-9]+}}, task_id={{[0-9]+}}, codeptr_ra=[[RETURN_ADDRESS]]{{[0-f][0-f]}}
// CHECK: {{^}}[[MASTER_ID]]: ompt_event_wait_barrier_end: parallel_id={{[0-9]+}}, task_id={{[0-9]+}}, codeptr_ra=[[RETURN_ADDRESS]]{{[0-f][0-f]}}
// CHECK: {{^}}[[MASTER_ID]]: ompt_event_barrier_end: parallel_id={{[0-9]+}}, task_id={{[0-9]+}}, codeptr_ra=[[RETURN_ADDRESS]]{{[0-f][0-f]}}
// CHECK: {{^}}[[MASTER_ID]]: fuzzy_address={{.*}}[[RETURN_ADDRESS]]
// master thread implicit barrier at parallel end
// CHECK: {{^}}[[MASTER_ID]]: ompt_event_barrier_begin: parallel_id={{[0-9]+}}, task_id={{[0-9]+}}, codeptr_ra={{0x[0-f]+}}
// CHECK: {{^}}[[MASTER_ID]]: ompt_event_wait_barrier_begin: parallel_id={{[0-9]+}}, task_id={{[0-9]+}}, codeptr_ra={{0x[0-f]+}}
// CHECK: {{^}}[[MASTER_ID]]: ompt_event_wait_barrier_end: parallel_id={{[0-9]+}}, task_id={{[0-9]+}}, codeptr_ra={{0x[0-f]+}}
// CHECK: {{^}}[[MASTER_ID]]: ompt_event_barrier_end: parallel_id={{[0-9]+}}, task_id={{[0-9]+}}, codeptr_ra={{0x[0-f]+}}
// worker thread implicit barrier at single end
// CHECK: {{^}}[[THREAD_ID:[0-9]+]]: ompt_event_barrier_begin: parallel_id={{[0-9]+}}, task_id={{[0-9]+}}, codeptr_ra=[[RETURN_ADDRESS:0x[0-f]+]]{{[0-f][0-f]}}
// CHECK: {{^}}[[THREAD_ID]]: ompt_event_wait_barrier_begin: parallel_id={{[0-9]+}}, task_id={{[0-9]+}}, codeptr_ra=[[RETURN_ADDRESS]]{{[0-f][0-f]}}
// CHECK: {{^}}[[THREAD_ID]]: ompt_event_wait_barrier_end: parallel_id={{[0-9]+}}, task_id={{[0-9]+}}, codeptr_ra=[[RETURN_ADDRESS]]{{[0-f][0-f]}}
// CHECK: {{^}}[[THREAD_ID]]: ompt_event_barrier_end: parallel_id={{[0-9]+}}, task_id={{[0-9]+}}, codeptr_ra=[[RETURN_ADDRESS]]{{[0-f][0-f]}}
// CHECK: {{^}}[[THREAD_ID]]: fuzzy_address={{.*}}[[RETURN_ADDRESS]]
// worker thread implicit barrier at parallel end
// CHECK: {{^}}[[THREAD_ID]]: ompt_event_barrier_begin: parallel_id={{[0-9]+}}, task_id={{[0-9]+}}, codeptr_ra=[[NULL]]
// CHECK: {{^}}[[THREAD_ID]]: ompt_event_wait_barrier_begin: parallel_id={{[0-9]+}}, task_id={{[0-9]+}}, codeptr_ra=[[NULL]]
// CHECK: {{^}}[[THREAD_ID]]: ompt_event_wait_barrier_end: parallel_id={{[0-9]+}}, task_id={{[0-9]+}}, codeptr_ra=[[NULL]]
// CHECK: {{^}}[[THREAD_ID]]: ompt_event_barrier_end: parallel_id={{[0-9]+}}, task_id={{[0-9]+}}, codeptr_ra=[[NULL]]
return 0;
}
|
declare_mapper_messages.c | // RUN: %clang_cc1 -verify -fopenmp -ferror-limit 100 %s
// RUN: %clang_cc1 -verify -fopenmp-simd -ferror-limit 100 %s
int temp; // expected-note {{'temp' declared here}}
struct vec { // expected-note {{definition of 'struct vec' is not complete until the closing '}'}}
int len;
#pragma omp declare mapper(id: struct vec v) map(v.len) // expected-error {{incomplete definition of type 'struct vec'}}
double *data;
};
#pragma omp declare mapper // expected-error {{expected '(' after 'declare mapper'}}
#pragma omp declare mapper { // expected-error {{expected '(' after 'declare mapper'}}
#pragma omp declare mapper( // expected-error {{expected a type}} expected-error {{expected declarator on 'omp declare mapper' directive}}
#pragma omp declare mapper(# // expected-error {{expected a type}} expected-error {{expected declarator on 'omp declare mapper' directive}}
#pragma omp declare mapper(struct v // expected-error {{expected declarator on 'omp declare mapper' directive}}
#pragma omp declare mapper(struct vec // expected-error {{expected declarator on 'omp declare mapper' directive}}
#pragma omp declare mapper(S v // expected-error {{unknown type name 'S'}}
#pragma omp declare mapper(struct vec v // expected-error {{expected ')'}} expected-note {{to match this '('}}
#pragma omp declare mapper(aa:struct vec v) // expected-error {{expected at least one clause on '#pragma omp declare mapper' directive}}
#pragma omp declare mapper(bb:struct vec v) private(v) // expected-error {{expected at least one clause on '#pragma omp declare mapper' directive}} // expected-error {{unexpected OpenMP clause 'private' in directive '#pragma omp declare mapper'}}
#pragma omp declare mapper(cc:struct vec v) map(v) ( // expected-warning {{extra tokens at the end of '#pragma omp declare mapper' are ignored}}
#pragma omp declare mapper(++: struct vec v) map(v.len) // expected-error {{illegal OpenMP user-defined mapper identifier}}
#pragma omp declare mapper(id1: struct vec v) map(v.len, temp) // expected-error {{only variable 'v' is allowed in map clauses of this 'omp declare mapper' directive}}
#pragma omp declare mapper(default : struct vec kk) map(kk.data[0:2]) // expected-note {{previous definition is here}}
#pragma omp declare mapper(struct vec v) map(v.len) // expected-error {{redefinition of user-defined mapper for type 'struct vec' with name 'default'}}
#pragma omp declare mapper(int v) map(v) // expected-error {{mapper type must be of struct, union or class type}}
int fun(int arg) {
#pragma omp declare mapper(id: struct vec v) map(v.len)
{
#pragma omp declare mapper(id: struct vec v) map(v.len) // expected-note {{previous definition is here}}
#pragma omp declare mapper(id: struct vec v) map(v.len) // expected-error {{redefinition of user-defined mapper for type 'struct vec' with name 'id'}}
{
#pragma omp declare mapper(id: struct vec v) map(v.len) allocate(v) // expected-error {{unexpected OpenMP clause 'allocate' in directive '#pragma omp declare mapper'}}
struct vec vv, v1;
struct vec arr[10];
double d;
#pragma omp target map(mapper) // expected-error {{use of undeclared identifier 'mapper'}}
{}
#pragma omp target map(mapper:vv) // expected-error {{expected '(' after 'mapper'}}
{}
#pragma omp target map(mapper( :vv) // expected-error {{expected expression}} expected-error {{expected ')'}} expected-error {{call to undeclared function 'mapper'}} expected-note {{to match this '('}}
{}
#pragma omp target map(mapper(aa :vv) // expected-error {{use of undeclared identifier 'aa'}} expected-error {{expected ')'}} expected-error {{call to undeclared function 'mapper'}} expected-note {{to match this '('}}
{}
#pragma omp target map(mapper(ab) :vv) // expected-error {{missing map type}} expected-error {{cannot find a valid user-defined mapper for type 'struct vec' with name 'ab'}}
{}
#pragma omp target map(mapper(ab) :arr[0:2]) // expected-error {{missing map type}} expected-error {{cannot find a valid user-defined mapper for type 'struct vec' with name 'ab'}}
{}
#pragma omp target map(mapper(aa) :vv) // expected-error {{missing map type}}
{}
#pragma omp target map(mapper(aa) to:d) // expected-error {{mapper type must be of struct, union or class type}}
{}
#pragma omp target map(mapper(aa) to:vv) map(close mapper(aa) from:v1) map(mapper(aa) to:arr[0])
{}
#pragma omp target update to(mapper) // expected-error {{expected '(' after 'mapper'}} expected-error {{expected expression}} expected-error {{expected at least one 'to' clause or 'from' clause specified to '#pragma omp target update'}}
#pragma omp target update to(mapper() // expected-error {{illegal OpenMP user-defined mapper identifier}} expected-error {{expected expression}} expected-error {{expected at least one 'to' clause or 'from' clause specified to '#pragma omp target update'}}
#pragma omp target update to(mapper:vv) // expected-error {{expected '(' after 'mapper'}} expected-error {{expected at least one 'to' clause or 'from' clause specified to '#pragma omp target update'}}
#pragma omp target update to(mapper(:vv) // expected-error {{illegal OpenMP user-defined mapper identifier}} expected-error {{expected at least one 'to' clause or 'from' clause specified to '#pragma omp target update'}}
#pragma omp target update to(mapper(aa :vv) // expected-error {{expected ')'}} expected-note {{to match this '('}} expected-error {{expected at least one 'to' clause or 'from' clause specified to '#pragma omp target update'}}
#pragma omp target update to(mapper(ab):vv) // expected-error {{cannot find a valid user-defined mapper for type 'struct vec' with name 'ab'}} expected-error {{expected at least one 'to' clause or 'from' clause specified to '#pragma omp target update'}}
#pragma omp target update to(mapper(ab):arr[0:2]) // expected-error {{cannot find a valid user-defined mapper for type 'struct vec' with name 'ab'}} expected-error {{expected at least one 'to' clause or 'from' clause specified to '#pragma omp target update'}}
#pragma omp target update to(mapper(aa) a:vv) // expected-warning {{missing ':' after ) - ignoring}}
#pragma omp target update to(mapper(aa):d) // expected-error {{mapper type must be of struct, union or class type}} expected-error {{expected at least one 'to' clause or 'from' clause specified to '#pragma omp target update'}}
#pragma omp target update to(mapper(aa):vv) to(mapper(aa):arr[0])
#pragma omp target update from(mapper) // expected-error {{expected '(' after 'mapper'}} expected-error {{expected expression}} expected-error {{expected at least one 'to' clause or 'from' clause specified to '#pragma omp target update'}}
#pragma omp target update from(mapper() // expected-error {{illegal OpenMP user-defined mapper identifier}} expected-error {{expected expression}} expected-error {{expected at least one 'to' clause or 'from' clause specified to '#pragma omp target update'}}
#pragma omp target update from(mapper:vv) // expected-error {{expected '(' after 'mapper'}} expected-error {{expected at least one 'to' clause or 'from' clause specified to '#pragma omp target update'}}
#pragma omp target update from(mapper(:vv) // expected-error {{illegal OpenMP user-defined mapper identifier}} expected-error {{expected at least one 'to' clause or 'from' clause specified to '#pragma omp target update'}}
#pragma omp target update from(mapper(aa :vv) // expected-error {{expected ')'}} expected-note {{to match this '('}} expected-error {{expected at least one 'to' clause or 'from' clause specified to '#pragma omp target update'}}
#pragma omp target update from(mapper(ab):vv) // expected-error {{cannot find a valid user-defined mapper for type 'struct vec' with name 'ab'}} expected-error {{expected at least one 'to' clause or 'from' clause specified to '#pragma omp target update'}}
#pragma omp target update from(mapper(ab):arr[0:2]) // expected-error {{cannot find a valid user-defined mapper for type 'struct vec' with name 'ab'}} expected-error {{expected at least one 'to' clause or 'from' clause specified to '#pragma omp target update'}}
#pragma omp target update from(mapper(aa) a:vv) // expected-warning {{missing ':' after ) - ignoring}}
#pragma omp target update from(mapper(aa):d) // expected-error {{mapper type must be of struct, union or class type}} expected-error {{expected at least one 'to' clause or 'from' clause specified to '#pragma omp target update'}}
#pragma omp target update from(mapper(aa):vv) from(mapper(aa):arr[0])
}
}
return arg;
}
|
omp_thread_limit.c | // RUN: %libomp-compile && env OMP_THREAD_LIMIT=4 %libomp-run 4
// RUN: %libomp-compile && env OMP_THREAD_LIMIT=7 %libomp-run 7
//
// OMP_THREAD_LIMIT=N should imply that no more than N threads are active in
// a contention group
#include <stdio.h>
#include <string.h>
#include <limits.h>
#include "omp_testsuite.h"
int failed = 0;
void usage() {
fprintf(stderr, "usage: omp_thread_limit <n>\n");
}
void verify(const char* file_name, int line_number, int team_size) {
int num_threads = omp_get_num_threads();
if (team_size != num_threads) {
#pragma omp critical(A)
{
char label[256];
snprintf(label, sizeof(label), "%s:%d", file_name, line_number);
failed = 1;
printf("failed: %s: team_size(%d) != omp_get_num_threads(%d)\n",
label, team_size, num_threads);
}
}
}
int main(int argc, char** argv)
{
int cl_thread_limit;
if (argc != 2) {
usage();
return 1;
}
cl_thread_limit = atoi(argv[1]);
omp_set_dynamic(0);
if (omp_get_thread_limit() != cl_thread_limit) {
fprintf(stderr, "omp_get_thread_limit failed with %d, should be%d\n",
omp_get_thread_limit(), cl_thread_limit);
return 1;
}
else if (omp_get_max_threads() > cl_thread_limit) {
#if _OPENMP
int team_size = cl_thread_limit;
#else
int team_size = 1;
#endif
omp_set_num_threads(19);
verify(__FILE__, __LINE__, 1);
#pragma omp parallel
{
verify(__FILE__, __LINE__, team_size);
verify(__FILE__, __LINE__, team_size);
}
verify(__FILE__, __LINE__, 1);
omp_set_nested(1);
#pragma omp parallel num_threads(3)
{
verify(__FILE__, __LINE__, 3);
#pragma omp master
#pragma omp parallel num_threads(21)
{
verify(__FILE__, __LINE__, team_size-2);
verify(__FILE__, __LINE__, team_size-2);
}
}
verify(__FILE__, __LINE__, 1);
return failed;
} else {
fprintf(stderr, "This test is not applicable for max num_threads='%d'\n",
omp_get_max_threads());
return 0;
}
}
|
DRB095-doall2-taskloop-orig-yes.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.
*/
/*
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;
#pragma omp parallel for
for (i = 0; i < 100; i++)
#pragma omp parallel for
for (j = 0; j < 100; j++)
{
a[i][j] = i + j;
}
#pragma omp parallel for
for (i = 0; i < 100; i++)
#pragma omp parallel for
for (j = 0; j < 100; j++)
a[i][j]+=1;
printf ("a[50][50]=%d\n", a[50][50]);
return 0;
}
|
GB_unaryop__minv_bool_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__minv_bool_int16
// op(A') function: GB_tran__minv_bool_int16
// C type: bool
// A type: int16_t
// cast: ;
// unaryop: cij = true
#define GB_ATYPE \
int16_t
#define GB_CTYPE \
bool
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
;
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = true ;
// casting
#define GB_CASTING(z, 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_MINV || GxB_NO_BOOL || GxB_NO_INT16)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop__minv_bool_int16
(
bool *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__minv_bool_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
|
postgres_fmt_plug.c | /* PostgreSQL MD5 challenge-response cracker patch for JtR. Hacked together
* during October of 2012 by Dhiru Kholia <dhiru.kholia at gmail.com>.
*
* Use Ettercap to get PostgreSQL MD5 challenge-response pairs in JtR format.
* E.g. ettercap -Tq -r /home/user/sample.pcap
*
* Input format:
* $postgres$user*salt*hash
*
* This software is Copyright (c) 2012, Dhiru Kholia <dhiru.kholia at gmail.com>
* and Copyright magnum 2013,
* 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_postgres;
#elif FMT_REGISTERS_H
john_register_one(&fmt_postgres);
#else
#include <string.h>
#include <errno.h>
#ifdef _OPENMP
static int omp_t = 1;
#include <omp.h>
#ifndef OMP_SCALE
#define OMP_SCALE 2048 // scaled on K8-dual HT
#endif
#endif
#include "md5.h"
#include "arch.h"
#include "misc.h"
#include "common.h"
#include "formats.h"
#include "params.h"
#include "options.h"
#include "memdbg.h"
#define FORMAT_LABEL "postgres"
#define FORMAT_NAME "PostgreSQL C/R"
#define ALGORITHM_NAME "MD5 32/" ARCH_BITS_STR
#define BENCHMARK_COMMENT ""
#define BENCHMARK_LENGTH -1
#define PLAINTEXT_LENGTH 32
#define BINARY_SIZE 16
#define BINARY_ALIGN MEM_ALIGN_WORD
#define SALT_SIZE sizeof(struct custom_salt)
#define SALT_ALIGN MEM_ALIGN_NONE
#define MAX_USERNAME_LEN 64
#define MIN_KEYS_PER_CRYPT 1
#define MAX_KEYS_PER_CRYPT 1
static struct fmt_tests postgres_tests[] = {
{"$postgres$postgres*f063f05d*1d586cc8d137e5f1733f234d224393e8",
"openwall"},
{"$postgres$postgres*c31803a2*1c4e11fb51835c3bbe9851ec91ec1375",
"password"},
/* $postgre$ is supported but deprecated */
{"$postgre$postgres*684697c8*bf2a64f35feba7bf1b633d60393c1356",
"openwall"},
/* $postgres$ with longer user name */
{"$postgres$Twelve_chars*55393156*c01df9affa7573ef32ec143759f3e005",
"HookFish__2"},
{"$postgres$postgres*65687433*b782eca219ad84b58f26d25e19a1bbc9",
"thisisalongstring"},
{"$postgres$postgres*33374273*77e0016f1b92cdea7291ab0ed21798b8",
"string with space"},
{"$postgres$postgres*6f734f37*d5451e93f6ac9a0d30336ec106e91cf5",
"123456789"},
{"$postgres$postgres*3348654b*0f0f46a3dfebf45f4320d2edeabc318f",
""},
{NULL}
};
static char (*saved_key)[PLAINTEXT_LENGTH + 1];
static ARCH_WORD_32 (*crypt_out)[BINARY_SIZE / sizeof(ARCH_WORD_32)];
static struct custom_salt {
unsigned char user[MAX_USERNAME_LEN + 1];
unsigned char salt[4];
} *cur_salt;
static void init(struct fmt_main *self)
{
#ifdef _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));
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);
}
static int valid(char *ciphertext, struct fmt_main *self)
{
const char *p;
if (strncmp(ciphertext, "$postgres$", 10))
return 0;
/* Check hash */
if (!(p = strrchr(ciphertext, '*')))
return 0;
if (hexlenl(&p[1]) != 2*BINARY_SIZE)
return 0;
/* Check salt */
p -= 9;
if (*p != '*')
return 0;
if (abs(hexlenl(&p[1])) != 8)
return 0;
/* Check username length */
if (p - ciphertext - 10 > MAX_USERNAME_LEN)
return 0;
return 1;
}
static char *prepare(char *split_fields[10], struct fmt_main *self)
{
static char out[10 + sizeof(struct custom_salt) + 2*BINARY_SIZE +2+1];
/* Replace deprecated tag */
if (*split_fields[1] && !strncmp(split_fields[1], "$postgre$", 9)) {
snprintf(out, sizeof(out), "%s%s",
"$postgres$", &split_fields[1][9]);
if (valid(out, self))
return out;
}
return split_fields[1];
}
static void *get_salt(char *ciphertext)
{
char *ctcopy = strdup(ciphertext);
char *keeptr = ctcopy;
char *p;
int i;
static struct custom_salt cs;
ctcopy += 10; /* skip over "$postgres$" */
p = strtokm(ctcopy, "*");
memset(&cs, 0, sizeof(cs));
strnzcpy((char*)cs.user, p, MAX_USERNAME_LEN + 1);
p = strtokm(NULL, "*");
for (i = 0; i < 4; i++)
cs.salt[i] = atoi16[ARCH_INDEX(p[i * 2])] * 16
+ atoi16[ARCH_INDEX(p[i * 2 + 1])];
MEM_FREE(keeptr);
return (void *)&cs;
}
static void *get_binary(char *ciphertext)
{
static union {
unsigned char c[BINARY_SIZE];
ARCH_WORD dummy;
} buf;
unsigned char *out = buf.c;
char *p;
int i;
p = strrchr(ciphertext, '*') + 1;
for (i = 0; i < BINARY_SIZE; i++) {
out[i] = (atoi16[ARCH_INDEX(*p)] << 4) |
atoi16[ARCH_INDEX(p[1])];
p += 2;
}
return out;
}
static int get_hash_0(int index) { return crypt_out[index][0] & PH_MASK_0; }
static int get_hash_1(int index) { return crypt_out[index][0] & PH_MASK_1; }
static int get_hash_2(int index) { return crypt_out[index][0] & PH_MASK_2; }
static int get_hash_3(int index) { return crypt_out[index][0] & PH_MASK_3; }
static int get_hash_4(int index) { return crypt_out[index][0] & PH_MASK_4; }
static int get_hash_5(int index) { return crypt_out[index][0] & PH_MASK_5; }
static int get_hash_6(int index) { return crypt_out[index][0] & PH_MASK_6; }
static void set_salt(void *salt)
{
cur_salt = (struct custom_salt *)salt;
}
static inline void hex_encode(unsigned char *str, int len, unsigned char *out)
{
int i;
for (i = 0; i < len; ++i) {
out[0] = itoa16[str[i]>>4];
out[1] = itoa16[str[i]&0xF];
out += 2;
}
}
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++)
#endif
{
MD5_CTX ctx;
unsigned char out[32];
MD5_Init(&ctx);
MD5_Update(&ctx, saved_key[index], strlen(saved_key[index]));
MD5_Update(&ctx, cur_salt->user, strlen((char*)cur_salt->user));
MD5_Final((unsigned char*)crypt_out[index], &ctx);
hex_encode((unsigned char*)crypt_out[index], 16, out);
MD5_Init(&ctx);
MD5_Update(&ctx, out, 32);
MD5_Update(&ctx, cur_salt->salt, 4);
MD5_Final((unsigned char*)crypt_out[index], &ctx);
}
return count;
}
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;
}
static void postgres_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];
}
struct fmt_main fmt_postgres = {
{
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_OMP_BAD,
{ NULL },
postgres_tests
}, {
init,
done,
fmt_default_reset,
prepare,
valid,
fmt_default_split,
get_binary,
get_salt,
{ NULL },
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
},
fmt_default_salt_hash,
NULL,
set_salt,
postgres_set_key,
get_key,
fmt_default_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 */
|
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