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GB_binop__iseq_int16.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__iseq_int16
// A.*B function (eWiseMult): GB_AemultB__iseq_int16
// A*D function (colscale): GB_AxD__iseq_int16
// D*A function (rowscale): GB_DxB__iseq_int16
// C+=B function (dense accum): GB_Cdense_accumB__iseq_int16
// C+=b function (dense accum): GB_Cdense_accumb__iseq_int16
// C+=A+B function (dense ewise3): (none)
// C=A+B function (dense ewise3): GB_Cdense_ewise3_noaccum__iseq_int16
// C=scalar+B GB_bind1st__iseq_int16
// C=scalar+B' GB_bind1st_tran__iseq_int16
// C=A+scalar GB_bind2nd__iseq_int16
// C=A'+scalar GB_bind2nd_tran__iseq_int16
// C type: int16_t
// A type: int16_t
// B,b type: int16_t
// BinaryOp: cij = (aij == bij)
#define GB_ATYPE \
int16_t
#define GB_BTYPE \
int16_t
#define GB_CTYPE \
int16_t
// true if the types of A and B are identical
#define GB_ATYPE_IS_BTYPE \
1
// true if the types of C and A are identical
#define GB_CTYPE_IS_ATYPE \
1
// true if the types of C and B are identical
#define GB_CTYPE_IS_BTYPE \
1
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
int16_t aij = Ax [pA]
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB) \
int16_t bij = Bx [pB]
// 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) \
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 = (x == y) ;
// op is second
#define GB_OP_IS_SECOND \
0
// op is plus_fp32 or plus_fp64
#define GB_OP_IS_PLUS_REAL \
0
// op is minus_fp32 or minus_fp64
#define GB_OP_IS_MINUS_REAL \
0
// GB_cblas_*axpy gateway routine, if it exists for this operator and type:
#define GB_CBLAS_AXPY \
(none)
// do the numerical phases of GB_add and GB_emult
#define GB_PHASE_2_OF_2
// hard-coded loops can be vectorized
#define GB_PRAGMA_SIMD_VECTORIZE GB_PRAGMA_SIMD
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_ISEQ || GxB_NO_INT16 || GxB_NO_ISEQ_INT16)
//------------------------------------------------------------------------------
// 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__iseq_int16
(
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__iseq_int16
(
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__iseq_int16
(
GrB_Matrix C,
const GB_void *p_bwork,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
// get the scalar b for C += b, of type int16_t
int16_t bwork = (*((int16_t *) p_bwork)) ;
#include "GB_dense_subassign_22_template.c"
return (GrB_SUCCESS) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = A*D, column scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB_AxD__iseq_int16
(
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
int16_t *GB_RESTRICT Cx = (int16_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__iseq_int16
(
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
int16_t *GB_RESTRICT Cx = (int16_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__iseq_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 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__iseq_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 int64_t *GB_RESTRICT C_to_M,
const int64_t *GB_RESTRICT C_to_A,
const int64_t *GB_RESTRICT C_to_B,
const GB_task_struct *GB_RESTRICT TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t *pstart_Mslice = NULL, *kfirst_Mslice = NULL, *klast_Mslice = NULL ;
int64_t *pstart_Aslice = NULL, *kfirst_Aslice = NULL, *klast_Aslice = NULL ;
int64_t *pstart_Bslice = NULL, *kfirst_Bslice = NULL, *klast_Bslice = NULL ;
#include "GB_emult_template.c"
GB_FREE_ALL ;
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (x,Bx): apply a binary operator to a matrix with scalar bind1st
//------------------------------------------------------------------------------
GrB_Info GB_bind1st__iseq_int16
(
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
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 < anz ; p++)
{
if (!GBB (Bb, p)) continue ;
int16_t bij = Bx [p] ;
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__iseq_int16
(
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 ;
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 = Ax [p] ;
Cx [p] = (aij == y) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (x, A'): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (x, aij), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
int16_t aij = Ax [pA] ; \
Cx [pC] = (x == aij) ; \
}
GrB_Info GB_bind1st_tran__iseq_int16
(
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 \
int16_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int16_t x = (*((const int16_t *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
int16_t
}
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (aij, y), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
int16_t aij = Ax [pA] ; \
Cx [pC] = (aij == y) ; \
}
GrB_Info GB_bind2nd_tran__iseq_int16
(
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
int16_t y = (*((const int16_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
dfwavelet.c | /*
* Copyright 2013-2015 The Regents of the University of California.
* All rights reserved. Use of this source code is governed by
* a BSD-style license which can be found in the LICENSE file.
*
* Authors:
* 2013 Frank Ong <frankong@berkeley.edu>
* 2013 Martin Uecker, Pat Virtue, and Mark Murphy
*
*
* Ong F, Uecker M, Tariq U, Hsiao A, Alley MT, Vasanawala SS, Lustig M.
* Robust 4D Flow Denoising using Divergence-free Wavelet Transform,
* Magn Reson Med 2015; 73: 828-842.
*/
#define _GNU_SOURCE
#include <math.h>
#include <string.h>
#include <assert.h>
#include <complex.h>
#ifdef _WIN32
#include "win/rand_r.h"
#endif
#include "num/multind.h"
#include "misc/misc.h"
#include "dfwavelet.h"
#include "dfwavelet_impl.h"
#ifdef USE_CUDA
#include "dfwavelet_kernels.h"
#endif
#define str_eq(s1,s2) (!strcmp ((s1),(s2)))
/******** Header *********/
static void dffwt3_cpu(struct dfwavelet_plan_s* plan, data_t* out_wcdf1,data_t* out_wcdf2,data_t* out_wcn, data_t* in_vx,data_t* in_vy,data_t* in_vz);
static void dfiwt3_cpu(struct dfwavelet_plan_s* plan, data_t* out_vx,data_t* out_vy,data_t* out_vz, data_t* in_wcdf1,data_t* in_wcdf2,data_t* in_wcn);
static void dfsoftthresh_cpu(struct dfwavelet_plan_s* plan,scalar_t dfthresh, scalar_t nthresh, data_t* out_wcdf1,data_t* out_wcdf2,data_t* out_wcn);
static void dfwavthresh3_cpu(struct dfwavelet_plan_s* plan,scalar_t dfthresh, scalar_t nthresh,data_t* out_vx,data_t* out_vy,data_t* out_vz,data_t* in_vx,data_t* in_vy,data_t* in_vz);
void dflincomb_cpu(struct dfwavelet_plan_s* plan,data_t* wc1,data_t* wc2,data_t* wc3);
void dfunlincomb_cpu(struct dfwavelet_plan_s* plan,data_t* wc1,data_t* wc2,data_t* wc3);
static void fwt3_cpu(struct dfwavelet_plan_s* plan, data_t* out, data_t* in,int dir);
static void iwt3_cpu(struct dfwavelet_plan_s* plan, data_t* out, data_t* in,int dir);
static void circshift_cpu(struct dfwavelet_plan_s* plan, data_t *data);
static void circunshift_cpu(struct dfwavelet_plan_s* plan, data_t *data);
static void conv_down_3d(data_t *out, data_t *in, int size1, int skip1, int size2, int skip2, int size3, int skip3, scalar_t *filter, int filterLen);
static void conv_up_3d(data_t *out, data_t *in, int size1, int skip1, int size2, int skip2, int size3, int skip3, scalar_t *filter, int filterLen);
static void mult(data_t* in,scalar_t scalar,int maxInd);
static void create_numLevels(struct dfwavelet_plan_s* plan);
static void create_wavelet_sizes(struct dfwavelet_plan_s* plan);
static void create_wavelet_filters(struct dfwavelet_plan_s* plan);
static void get_noise_amp (struct dfwavelet_plan_s* plan);
struct dfwavelet_plan_s* prepare_dfwavelet_plan(int numdims, long* imSize, const long* minSize, data_t* res,int use_gpu)
{
struct dfwavelet_plan_s* plan = (struct dfwavelet_plan_s*) malloc(sizeof(struct dfwavelet_plan_s));
plan->use_gpu = use_gpu;
plan->numdims = numdims;
plan->imSize = (long*) malloc(sizeof(long)*numdims);
plan->minSize = (long*) malloc(sizeof(long)*numdims);
plan->res = (data_t*) malloc(sizeof(data_t)*numdims);
plan->percentZero = -1;
plan->noiseAmp = NULL;
// Get imSize, numPixel, numdims
plan->numPixel = 1;
int i;
for (i = 0; i < numdims; i++)
{
plan->imSize[i] = imSize[i];
plan->numPixel *= imSize[i];
plan->minSize[i] = minSize[i];
plan->res[i] = res[i];
}
create_wavelet_filters(plan);
create_numLevels(plan);
create_wavelet_sizes(plan);
plan->randShift = (int*) malloc(sizeof(int)*plan->numdims);
memset(plan->randShift,0,sizeof(int)*plan->numdims);
get_noise_amp(plan);
return plan;
}
void dfwavelet_forward(struct dfwavelet_plan_s* plan, data_t* out_wcdf1, data_t* out_wcdf2, data_t* out_wcn, data_t* in_vx, data_t* in_vy, data_t* in_vz)
{
if(plan->use_gpu==0)
dffwt3_cpu(plan,out_wcdf1,out_wcdf2,out_wcn,in_vx,in_vy,in_vz);
#ifdef USE_CUDA
if(plan->use_gpu==1)
dffwt3_gpu(plan,out_wcdf1,out_wcdf2,out_wcn,in_vx,in_vy,in_vz);
if(plan->use_gpu==2)
dffwt3_gpuHost(plan,out_wcdf1,out_wcdf2,out_wcn,in_vx,in_vy,in_vz);
#endif
}
void dfwavelet_inverse(struct dfwavelet_plan_s* plan, data_t* out_vx,data_t* out_vy,data_t* out_vz, data_t* in_wcdf1,data_t* in_wcdf2,data_t* in_wcn)
{
if(plan->use_gpu==0)
dfiwt3_cpu(plan,out_vx,out_vy,out_vz,in_wcdf1,in_wcdf2,in_wcn);
#ifdef USE_CUDA
if(plan->use_gpu==1)
dfiwt3_gpu(plan,out_vx,out_vy,out_vz,in_wcdf1,in_wcdf2,in_wcn);
if(plan->use_gpu==2)
dfiwt3_gpuHost(plan,out_vx,out_vy,out_vz,in_wcdf1,in_wcdf2,in_wcn);
#endif
}
void dfsoft_thresh(struct dfwavelet_plan_s* plan, scalar_t dfthresh, scalar_t nthresh,data_t* wcdf1,data_t* wcdf2, data_t* wcn)
{
if(plan->use_gpu==0)
dfsoftthresh_cpu(plan,dfthresh,nthresh,wcdf1,wcdf2,wcn);
#ifdef USE_CUDA
if(plan->use_gpu==1)
dfsoftthresh_gpu(plan,dfthresh,nthresh,wcdf1,wcdf2,wcn);
if(plan->use_gpu==2)
dfsoftthresh_gpuHost(plan,dfthresh,nthresh,wcdf1,wcdf2,wcn);
#endif
}
void dfwavelet_thresh(struct dfwavelet_plan_s* plan, scalar_t dfthresh, scalar_t nthresh,data_t* out_vx, data_t* out_vy, data_t* out_vz, data_t* in_vx,data_t* in_vy, data_t* in_vz)
{
if(plan->use_gpu==0)
dfwavthresh3_cpu(plan,dfthresh,nthresh,out_vx,out_vy,out_vz, in_vx,in_vy,in_vz);
#ifdef USE_CUDA
if(plan->use_gpu==1)
dfwavthresh3_gpu(plan,dfthresh,nthresh, out_vx,out_vy,out_vz, in_vx,in_vy,in_vz);
if(plan->use_gpu==2)
dfwavthresh3_gpuHost(plan,dfthresh,nthresh,out_vx,out_vy,out_vz,in_vx,in_vy,in_vz);
#endif
}
static int dfrand_lim(unsigned int* state, int limit) {
int divisor = RAND_MAX/(limit+1);
int retval = 0;
do {
retval = rand_r(state) / divisor;
} while (retval > limit);
return retval;
}
void dfwavelet_new_randshift (struct dfwavelet_plan_s* plan) {
int i;
int maxShift = 1 << (plan->numLevels);
for(i = 0; i < plan->numdims; i++) {
// Generate random shift value between 0 and maxShift
plan->randShift[i] = dfrand_lim(&plan->state, maxShift);
}
}
void dfwavelet_clear_randshift (struct dfwavelet_plan_s* plan) {
memset(plan->randShift, 0, plan->numdims*sizeof(int));
}
void dfwavelet_free(struct dfwavelet_plan_s* plan)
{
free(plan->imSize);
free(plan->minSize);
free(plan->lod0);
free(plan->lod1);
free(plan->res);
free(plan->waveSizes);
free(plan->randShift);
if (plan->noiseAmp!=NULL)
free(plan->noiseAmp);
free(plan);
}
////////////// Private Functions //////////////
void dffwt3_cpu(struct dfwavelet_plan_s* plan, data_t* out_wcdf1,data_t* out_wcdf2,data_t* out_wcn, data_t* in_vx,data_t* in_vy,data_t* in_vz)
{
fwt3_cpu(plan,out_wcdf1,in_vx,0);
fwt3_cpu(plan,out_wcdf2,in_vy,1);
fwt3_cpu(plan,out_wcn,in_vz,2);
mult(out_wcdf1,1/plan->res[0],plan->numCoeff);
mult(out_wcdf2,1/plan->res[1],plan->numCoeff);
mult(out_wcn,1/plan->res[2],plan->numCoeff);
dflincomb_cpu(plan,out_wcdf1,out_wcdf2,out_wcn);
}
void dfiwt3_cpu(struct dfwavelet_plan_s* plan, data_t* out_vx,data_t* out_vy,data_t* out_vz, data_t* in_wcdf1,data_t* in_wcdf2,data_t* in_wcn)
{
dfunlincomb_cpu(plan,in_wcdf1,in_wcdf2,in_wcn);
mult(in_wcdf1,plan->res[0],plan->numCoeff);
mult(in_wcdf2,plan->res[1],plan->numCoeff);
mult(in_wcn,plan->res[2],plan->numCoeff);
iwt3_cpu(plan,out_vx,in_wcdf1,0);
iwt3_cpu(plan,out_vy,in_wcdf2,1);
iwt3_cpu(plan,out_vz,in_wcn,2);
}
void dfsoftthresh_cpu(struct dfwavelet_plan_s* plan,scalar_t dfthresh, scalar_t nthresh, data_t* wcdf1,data_t* wcdf2,data_t* wcn)
{
data_t* HxLyLz1 = wcdf1 + plan->waveSizes[0]*plan->waveSizes[1]*plan->waveSizes[2];
data_t* HxLyLz2 = wcdf2 + plan->waveSizes[0]*plan->waveSizes[1]*plan->waveSizes[2];
data_t* HxLyLz3 = wcn + plan->waveSizes[0]*plan->waveSizes[1]*plan->waveSizes[2];
int l;
for (l = 1; l <= plan->numLevels; ++l){
HxLyLz1 += 7*plan->waveSizes[0 + 3*l]*plan->waveSizes[1 + 3*l]*plan->waveSizes[2 + 3*l];
HxLyLz2 += 7*plan->waveSizes[0 + 3*l]*plan->waveSizes[1 + 3*l]*plan->waveSizes[2 + 3*l];
HxLyLz3 += 7*plan->waveSizes[0 + 3*l]*plan->waveSizes[1 + 3*l]*plan->waveSizes[2 + 3*l];
}
int dxNext = plan->waveSizes[0 + 3*plan->numLevels];
int dyNext = plan->waveSizes[1 + 3*plan->numLevels];
int dzNext = plan->waveSizes[2 + 3*plan->numLevels];
int blockSize = dxNext*dyNext*dzNext;
int naInd = 0;
for (l = plan->numLevels; l >= 1; --l)
{
dxNext = plan->waveSizes[0 + 3*l];
dyNext = plan->waveSizes[1 + 3*l];
dzNext = plan->waveSizes[2 + 3*l];
blockSize = dxNext*dyNext*dzNext;
HxLyLz1 = HxLyLz1 - 7*blockSize;
HxLyLz2 = HxLyLz2 - 7*blockSize;
HxLyLz3 = HxLyLz3 - 7*blockSize;
int bandInd;
for (bandInd=0; bandInd<7*3;bandInd++)
{
data_t *subband;
scalar_t lambda;
if (bandInd<7)
{
subband = HxLyLz1 + bandInd*blockSize;
lambda = dfthresh * plan->noiseAmp[naInd];
} else if (bandInd<14)
{
subband = HxLyLz2 + (bandInd-7)*blockSize;
lambda = dfthresh * plan->noiseAmp[naInd];
} else
{
subband = HxLyLz3 + (bandInd-14)*blockSize;
lambda = nthresh * plan->noiseAmp[naInd];
}
// SoftThresh
float const eps = 1.1921e-7f;
#pragma omp parallel for
for(int i = 0; i < blockSize; i++)
{
scalar_t norm = cabs(subband[i]);
scalar_t red = norm - lambda;
red = 0.5f*(red + fabs(red));
red = red / (norm + eps);
subband[i] = red * subband[i];
}
naInd++;
}
}
}
void dfwavthresh3_cpu(struct dfwavelet_plan_s* plan,scalar_t dfthresh, scalar_t nthresh,data_t* out_vx,data_t* out_vy,data_t* out_vz,data_t* in_vx,data_t* in_vy,data_t* in_vz)
{
data_t *wcdf1,*wcdf2,*wcn;
wcdf1 = (data_t*) malloc(sizeof(data_t)*plan->numCoeff);
wcdf2 = (data_t*) malloc(sizeof(data_t)*plan->numCoeff);
wcn = (data_t*) malloc(sizeof(data_t)*plan->numCoeff);
dffwt3_cpu(plan, wcdf1,wcdf2,wcn,in_vx,in_vy,in_vz);
dfsoftthresh_cpu(plan,dfthresh,nthresh,wcdf1,wcdf2,wcn);
dfiwt3_cpu(plan,out_vx,out_vy,out_vz,wcdf1,wcdf2,wcn);
free(wcdf1);
free(wcdf2);
free(wcn);
}
void dflincomb_cpu(struct dfwavelet_plan_s* plan,data_t* wc1,data_t* wc2,data_t* wc3)
{
data_t* HxLyLz1 = wc1 + plan->waveSizes[0]*plan->waveSizes[1]*plan->waveSizes[2];
data_t* HxLyLz2 = wc2 + plan->waveSizes[0]*plan->waveSizes[1]*plan->waveSizes[2];
data_t* HxLyLz3 = wc3 + plan->waveSizes[0]*plan->waveSizes[1]*plan->waveSizes[2];
int l;
for (l = 1; l <= plan->numLevels; ++l){
HxLyLz1 += 7*plan->waveSizes[0 + 3*l]*plan->waveSizes[1 + 3*l]*plan->waveSizes[2 + 3*l];
HxLyLz2 += 7*plan->waveSizes[0 + 3*l]*plan->waveSizes[1 + 3*l]*plan->waveSizes[2 + 3*l];
HxLyLz3 += 7*plan->waveSizes[0 + 3*l]*plan->waveSizes[1 + 3*l]*plan->waveSizes[2 + 3*l];
}
int dxNext = plan->waveSizes[0 + 3*plan->numLevels];
int dyNext = plan->waveSizes[1 + 3*plan->numLevels];
int dzNext = plan->waveSizes[2 + 3*plan->numLevels];
int blockSize = dxNext*dyNext*dzNext;
int i,j,k;
for (l = plan->numLevels; l >= 1; --l)
{
dxNext = plan->waveSizes[0 + 3*l];
dyNext = plan->waveSizes[1 + 3*l];
dzNext = plan->waveSizes[2 + 3*l];
blockSize = dxNext*dyNext*dzNext;
HxLyLz1 = HxLyLz1 - 7*blockSize;
HxLyLz2 = HxLyLz2 - 7*blockSize;
HxLyLz3 = HxLyLz3 - 7*blockSize;
data_t* LxHyLz1 = HxLyLz1 + blockSize;
data_t* HxHyLz1 = LxHyLz1 + blockSize;
data_t* LxLyHz1 = HxHyLz1 + blockSize;
data_t* HxLyHz1 = LxLyHz1 + blockSize;
data_t* LxHyHz1 = HxLyHz1 + blockSize;
data_t* HxHyHz1 = LxHyHz1 + blockSize;
data_t* LxHyLz2 = HxLyLz2 + blockSize;
data_t* HxHyLz2 = LxHyLz2 + blockSize;
data_t* LxLyHz2 = HxHyLz2 + blockSize;
data_t* HxLyHz2 = LxLyHz2 + blockSize;
data_t* LxHyHz2 = HxLyHz2 + blockSize;
data_t* HxHyHz2 = LxHyHz2 + blockSize;
data_t* LxHyLz3 = HxLyLz3 + blockSize;
data_t* HxHyLz3 = LxHyLz3 + blockSize;
data_t* LxLyHz3 = HxHyLz3 + blockSize;
data_t* HxLyHz3 = LxLyHz3 + blockSize;
data_t* LxHyHz3 = HxLyHz3 + blockSize;
data_t* HxHyHz3 = LxHyHz3 + blockSize;
#pragma omp parallel for private(i,j,k)
for (k=0;k<dzNext;k++)
for (j=0;j<dyNext;j++)
for (i=0;i<dxNext;i++)
{
int ind = i+j*dxNext+k*dxNext*dyNext;
data_t wcx100 = HxLyLz1[ind];
data_t wcy100 = HxLyLz2[ind];
data_t wcz100 = HxLyLz3[ind];
data_t wcx010 = LxHyLz1[ind];
data_t wcy010 = LxHyLz2[ind];
data_t wcz010 = LxHyLz3[ind];
data_t wcx001 = LxLyHz1[ind];
data_t wcy001 = LxLyHz2[ind];
data_t wcz001 = LxLyHz3[ind];
data_t wcx110 = HxHyLz1[ind];
data_t wcy110 = HxHyLz2[ind];
data_t wcz110 = HxHyLz3[ind];
data_t wcx101 = HxLyHz1[ind];
data_t wcy101 = HxLyHz2[ind];
data_t wcz101 = HxLyHz3[ind];
data_t wcx011 = LxHyHz1[ind];
data_t wcy011 = LxHyHz2[ind];
data_t wcz011 = LxHyHz3[ind];
data_t wcx111 = HxHyHz1[ind];
data_t wcy111 = HxHyHz2[ind];
data_t wcz111 = HxHyHz3[ind];
HxLyLz1[ind] = wcy100;
LxHyLz1[ind] = wcx010;
LxLyHz1[ind] = wcy001;
HxLyLz2[ind] = wcz100;
LxHyLz2[ind] = wcz010;
LxLyHz2[ind] = wcx001;
HxLyLz3[ind] = wcx100;
LxHyLz3[ind] = wcy010;
LxLyHz3[ind] = wcz001;
HxHyLz1[ind] = 0.5*(wcx110-wcy110);
HxLyHz1[ind] = 0.5*(wcz101-wcx101);
LxHyHz1[ind] = 0.5*(wcy011-wcz011);
HxHyLz2[ind] = wcz110;
HxLyHz2[ind] = wcy101;
LxHyHz2[ind] = wcx011;
HxHyLz3[ind] = 0.5*(wcx110+wcy110);
HxLyHz3[ind] = 0.5*(wcz101+wcx101);
LxHyHz3[ind] = 0.5*(wcy011+wcz011);
HxHyHz1[ind] = 1/3.*(-2*wcx111+wcy111+wcz111);
HxHyHz2[ind] = 1/3.*(-wcx111+2*wcy111-wcz111);
HxHyHz3[ind] = 1/3.*(wcx111+wcy111+wcz111);
}
#pragma omp barrier
#pragma omp parallel for private(i,j,k)
for (k=0;k<dzNext;k++)
for (j=0;j<dyNext;j++)
for (i=0;i<dxNext;i++)
{
int ind = i+j*dxNext+k*dxNext*dyNext;
int indxs = ind-1;
int indys = ind-dxNext;
int indzs = ind-dxNext*dyNext;
if (i==0)
indxs = 0;
if (j==0)
indys = 0;
if (k==0)
indzs = 0;
data_t wcy100 = HxLyLz1[ind];
data_t wcy100s = HxLyLz1[indys];
data_t wcz100 = HxLyLz2[ind];
data_t wcz100s = HxLyLz2[indzs];
data_t wcx010 = LxHyLz1[ind];
data_t wcx010s = LxHyLz1[indxs];
data_t wcz010 = LxHyLz2[ind];
data_t wcz010s = LxHyLz2[indzs];
data_t wcx001 = LxLyHz2[ind];
data_t wcx001s = LxLyHz2[indxs];
data_t wcy001 = LxLyHz1[ind];
data_t wcy001s = LxLyHz1[indys];
data_t wcz110 = HxHyLz2[ind];
data_t wcz110s = HxHyLz2[indzs];
data_t wcy101 = HxLyHz2[ind];
data_t wcy101s = HxLyHz2[indys];
data_t wcx011 = LxHyHz2[ind];
data_t wcx011s = LxHyHz2[indxs];
HxLyLz3[ind] = HxLyLz3[ind]+0.25*(wcy100-wcy100s+wcz100-wcz100s);
LxHyLz3[ind] = LxHyLz3[ind]+0.25*(wcx010-wcx010s+wcz010-wcz010s);
LxLyHz3[ind] = LxLyHz3[ind]+0.25*(wcx001-wcx001s+wcy001-wcy001s);
HxHyLz3[ind] = HxHyLz3[ind] + 0.125*(wcz110-wcz110s);
HxLyHz3[ind] = HxLyHz3[ind] + 0.125*(wcy101-wcy101s);
LxHyHz3[ind] = LxHyHz3[ind] + 0.125*(wcx011-wcx011s);
}
}
}
void dfunlincomb_cpu(struct dfwavelet_plan_s* plan,data_t* wc1,data_t* wc2,data_t* wc3)
{
data_t* HxLyLz1 = wc1 + plan->waveSizes[0]*plan->waveSizes[1]*plan->waveSizes[2];
data_t* HxLyLz2 = wc2 + plan->waveSizes[0]*plan->waveSizes[1]*plan->waveSizes[2];
data_t* HxLyLz3 = wc3 + plan->waveSizes[0]*plan->waveSizes[1]*plan->waveSizes[2];
int l;
for (l = 1; l <= plan->numLevels; ++l){
HxLyLz1 += 7*plan->waveSizes[0 + 3*l]*plan->waveSizes[1 + 3*l]*plan->waveSizes[2 + 3*l];
HxLyLz2 += 7*plan->waveSizes[0 + 3*l]*plan->waveSizes[1 + 3*l]*plan->waveSizes[2 + 3*l];
HxLyLz3 += 7*plan->waveSizes[0 + 3*l]*plan->waveSizes[1 + 3*l]*plan->waveSizes[2 + 3*l];
}
int dxNext = plan->waveSizes[0 + 3*plan->numLevels];
int dyNext = plan->waveSizes[1 + 3*plan->numLevels];
int dzNext = plan->waveSizes[2 + 3*plan->numLevels];
int blockSize = dxNext*dyNext*dzNext;
int i,j,k;
for (l = plan->numLevels; l >= 1; --l)
{
dxNext = plan->waveSizes[0 + 3*l];
dyNext = plan->waveSizes[1 + 3*l];
dzNext = plan->waveSizes[2 + 3*l];
blockSize = dxNext*dyNext*dzNext;
HxLyLz1 = HxLyLz1 - 7*blockSize;
HxLyLz2 = HxLyLz2 - 7*blockSize;
HxLyLz3 = HxLyLz3 - 7*blockSize;
data_t* LxHyLz1 = HxLyLz1 + blockSize;
data_t* HxHyLz1 = LxHyLz1 + blockSize;
data_t* LxLyHz1 = HxHyLz1 + blockSize;
data_t* HxLyHz1 = LxLyHz1 + blockSize;
data_t* LxHyHz1 = HxLyHz1 + blockSize;
data_t* HxHyHz1 = LxHyHz1 + blockSize;
data_t* LxHyLz2 = HxLyLz2 + blockSize;
data_t* HxHyLz2 = LxHyLz2 + blockSize;
data_t* LxLyHz2 = HxHyLz2 + blockSize;
data_t* HxLyHz2 = LxLyHz2 + blockSize;
data_t* LxHyHz2 = HxLyHz2 + blockSize;
data_t* HxHyHz2 = LxHyHz2 + blockSize;
data_t* LxHyLz3 = HxLyLz3 + blockSize;
data_t* HxHyLz3 = LxHyLz3 + blockSize;
data_t* LxLyHz3 = HxHyLz3 + blockSize;
data_t* HxLyHz3 = LxLyHz3 + blockSize;
data_t* LxHyHz3 = HxLyHz3 + blockSize;
data_t* HxHyHz3 = LxHyHz3 + blockSize;
#pragma omp parallel for private(i,j,k)
for (k=0;k<dzNext;k++)
for (j=0;j<dyNext;j++)
for (i=0;i<dxNext;i++)
{
int ind = i+j*dxNext+k*dxNext*dyNext;
data_t df1_100 = HxLyLz1[ind];
data_t df2_100 = HxLyLz2[ind];
data_t n_100 = HxLyLz3[ind];
data_t df1_010 = LxHyLz1[ind];
data_t df2_010 = LxHyLz2[ind];
data_t n_010 = LxHyLz3[ind];
data_t df1_001 = LxLyHz1[ind];
data_t df2_001 = LxLyHz2[ind];
data_t n_001 = LxLyHz3[ind];
data_t df1_110 = HxHyLz1[ind];
data_t df2_110 = HxHyLz2[ind];
data_t n_110 = HxHyLz3[ind];
data_t df1_101 = HxLyHz1[ind];
data_t df2_101 = HxLyHz2[ind];
data_t n_101 = HxLyHz3[ind];
data_t df1_011 = LxHyHz1[ind];
data_t df2_011 = LxHyHz2[ind];
data_t n_011 = LxHyHz3[ind];
data_t df1_111 = HxHyHz1[ind];
data_t df2_111 = HxHyHz2[ind];
data_t n_111 = HxHyHz3[ind];
HxLyLz2[ind] = df1_100;
LxHyLz1[ind] = df1_010;
LxLyHz2[ind] = df1_001;
HxLyLz3[ind] = df2_100;
LxHyLz3[ind] = df2_010;
LxLyHz1[ind] = df2_001;
HxLyLz1[ind] = n_100;
LxHyLz2[ind] = n_010;
LxLyHz3[ind] = n_001;
HxHyLz3[ind] = df2_110;
HxLyHz2[ind] = df2_101;
LxHyHz1[ind] = df2_011;
HxHyLz1[ind] = (df1_110+n_110);
HxLyHz3[ind] = (df1_101+n_101);
LxHyHz2[ind] = (df1_011+n_011);
HxHyLz2[ind] = (-df1_110+n_110);
HxLyHz1[ind] = (-df1_101+n_101);
LxHyHz3[ind] = (-df1_011+n_011);
HxHyHz1[ind] = (-df1_111+n_111);
HxHyHz2[ind] = (df2_111+n_111);
HxHyHz3[ind] = df1_111-df2_111+n_111;
}
#pragma omp barrier
#pragma omp parallel for private(i,j,k)
for (k=0;k<dzNext;k++)
for (j=0;j<dyNext;j++)
for (i=0;i<dxNext;i++)
{
int ind = i+j*dxNext+k*dxNext*dyNext;
int indxs = ind-1;
int indys = ind-dxNext;
int indzs = ind-dxNext*dyNext;
if (i==0)
indxs = 0;
if (j==0)
indys = 0;
if (k==0)
indzs = 0;
data_t df1_100 = HxLyLz2[ind];
data_t df1_100s = HxLyLz2[indys];
data_t df2_100 = HxLyLz3[ind];
data_t df2_100s = HxLyLz3[indzs];
data_t df1_010 = LxHyLz1[ind];
data_t df1_010s = LxHyLz1[indxs];
data_t df2_010 = LxHyLz3[ind];
data_t df2_010s = LxHyLz3[indzs];
data_t df2_001 = LxLyHz1[ind];
data_t df2_001s = LxLyHz1[indxs];
data_t df1_001 = LxLyHz2[ind];
data_t df1_001s = LxLyHz2[indys];
data_t df2_110 = HxHyLz3[ind];
data_t df2_110s = HxHyLz3[indzs];
data_t df2_101 = HxLyHz2[ind];
data_t df2_101s = HxLyHz2[indys];
data_t df2_011 = LxHyHz1[ind];
data_t df2_011s = LxHyHz1[indxs];
HxLyLz1[ind] = HxLyLz1[ind]-0.25*(df1_100-df1_100s+df2_100-df2_100s);
LxHyLz2[ind] = LxHyLz2[ind]-0.25*(df1_010-df1_010s+df2_010-df2_010s);
LxLyHz3[ind] = LxLyHz3[ind]-0.25*(df2_001-df2_001s+df1_001-df1_001s);
HxHyLz1[ind] = HxHyLz1[ind] - 0.125*(df2_110-df2_110s);
HxLyHz3[ind] = HxLyHz3[ind] - 0.125*(df2_101-df2_101s);
LxHyHz2[ind] = LxHyHz2[ind] - 0.125*(df2_011-df2_011s);
HxHyLz2[ind] = HxHyLz2[ind] - 0.125*(df2_110-df2_110s);
HxLyHz1[ind] = HxLyHz1[ind] - 0.125*(df2_101-df2_101s);
LxHyHz3[ind] = LxHyHz3[ind] - 0.125*(df2_011-df2_011s);
}
}
}
void fwt3_cpu(struct dfwavelet_plan_s* plan, data_t* coeff, data_t* inImage,int dir)
{
circshift_cpu(plan,inImage);
data_t* origInImage = inImage;
data_t* HxLyLz = coeff + plan->waveSizes[0]*plan->waveSizes[1]*plan->waveSizes[2];
int l;
for (l = 1; l <= plan->numLevels; ++l){
HxLyLz += 7*plan->waveSizes[0 + 3*l]*plan->waveSizes[1 + 3*l]*plan->waveSizes[2 + 3*l];
}
int dx = plan->imSize[0];
int dy = plan->imSize[1];
int dz = plan->imSize[2];
int dxNext = plan->waveSizes[0 + 3*plan->numLevels];
int dyNext = plan->waveSizes[1 + 3*plan->numLevels];
int dzNext = plan->waveSizes[2 + 3*plan->numLevels];
int blockSize = dxNext*dyNext*dzNext;
data_t* LxLyLz = (data_t*) malloc(sizeof(data_t)*blockSize);
data_t* tempz = (data_t*) malloc(sizeof(data_t)*dx*dy*dzNext);
data_t* tempyz = (data_t*) malloc(sizeof(data_t)*dx*dyNext*dzNext);
data_t* tempxyz = (data_t*) malloc(sizeof(data_t)*blockSize);
// Assign Filters
scalar_t *lodx,*lody,*lodz,*hidx,*hidy,*hidz;
lodx = plan->lod0;
lody = plan->lod0;
lodz = plan->lod0;
hidx = plan->hid0;
hidy = plan->hid0;
hidz = plan->hid0;
if (dir==0)
{
lodx = plan->lod1;
hidx = plan->hid1;
}
if (dir==1)
{
lody = plan->lod1;
hidy = plan->hid1;
}
if (dir==2)
{
lodz = plan->lod1;
hidz = plan->hid1;
}
for (l = plan->numLevels; l >= 1; --l)
{
dxNext = plan->waveSizes[0 + 3*l];
dyNext = plan->waveSizes[1 + 3*l];
dzNext = plan->waveSizes[2 + 3*l];
blockSize = dxNext*dyNext*dzNext;
HxLyLz = HxLyLz - 7*blockSize;
data_t* LxHyLz = HxLyLz + blockSize;
data_t* HxHyLz = LxHyLz + blockSize;
data_t* LxLyHz = HxHyLz + blockSize;
data_t* HxLyHz = LxLyHz + blockSize;
data_t* LxHyHz = HxLyHz + blockSize;
data_t* HxHyHz = LxHyHz + blockSize;
int dxy = dx*dy;
int newdz = (dz + plan->filterLen-1) / 2;
int newdy = (dy + plan->filterLen-1) / 2;
int newdxy = dx*newdy;
// Lz
conv_down_3d(tempz, inImage, dz, dxy, dx, 1, dy, dx, lodz,plan->filterLen);
// LyLz
conv_down_3d(tempyz, tempz, dy, dx, dx, 1, newdz, dxy, lody,plan->filterLen);
conv_down_3d(LxLyLz, tempyz, dx, 1, newdy, dx, newdz, newdxy, lodx,plan->filterLen);
conv_down_3d(HxLyLz, tempyz, dx, 1, newdy, dx, newdz, newdxy, hidx,plan->filterLen);
// HyLz
conv_down_3d(tempyz, tempz, dy, dx, dx, 1, newdz, dxy, hidy,plan->filterLen);
conv_down_3d(LxHyLz, tempyz, dx, 1, newdy, dx, newdz, newdxy, lodx,plan->filterLen);
conv_down_3d(HxHyLz, tempyz, dx, 1, newdy, dx, newdz, newdxy, hidx,plan->filterLen);
// Hz
conv_down_3d(tempz, inImage, dz, dxy, dx, 1, dy, dx, hidz,plan->filterLen);
// LyHz
conv_down_3d(tempyz, tempz, dy, dx, dx, 1, newdz, dxy, lody,plan->filterLen);
conv_down_3d(LxLyHz, tempyz, dx, 1, newdy, dx, newdz, newdxy, lodx,plan->filterLen);
conv_down_3d(HxLyHz, tempyz, dx, 1, newdy, dx, newdz, newdxy, hidx,plan->filterLen);
// HyHz
conv_down_3d(tempyz, tempz, dy, dx, dx, 1, newdz, dxy, hidy,plan->filterLen);
conv_down_3d(LxHyHz, tempyz, dx, 1, newdy, dx, newdz, newdxy, lodx,plan->filterLen);
conv_down_3d(HxHyHz, tempyz, dx, 1, newdy, dx, newdz, newdxy, hidx,plan->filterLen);
memcpy(tempxyz, LxLyLz, blockSize*sizeof(data_t));
inImage = tempxyz;
dx = dxNext;
dy = dyNext;
dz = dzNext;
}
// Final LxLyLz
memcpy(coeff, inImage, plan->waveSizes[0]*plan->waveSizes[1]*plan->waveSizes[2]*sizeof(data_t));
free(LxLyLz);
free(tempz);
free(tempyz);
free(tempxyz);
circunshift_cpu(plan,origInImage);
}
void iwt3_cpu(struct dfwavelet_plan_s* plan, data_t* outImage, data_t* coeff,int dir)
{
// Workspace dimensions
int dxWork = plan->waveSizes[0 + 3*plan->numLevels]*2-1 + plan->filterLen-1;
int dyWork = plan->waveSizes[1 + 3*plan->numLevels]*2-1 + plan->filterLen-1;
int dzWork = plan->waveSizes[2 + 3*plan->numLevels]*2-1 + plan->filterLen-1;
int dyWork2 = plan->waveSizes[1 + 3*(plan->numLevels-1)]*2-1 + plan->filterLen-1;
int dzWork2 = plan->waveSizes[2 + 3*(plan->numLevels-1)]*2-1 + plan->filterLen-1;
// Workspace
data_t* tempyz = (data_t*) malloc(sizeof(data_t)*dxWork*dyWork2*dzWork2);
data_t* tempz = (data_t*) malloc(sizeof(data_t)*dxWork*dyWork*dzWork2);
data_t* tempFull = (data_t*) malloc(sizeof(data_t)*dxWork*dyWork*dzWork);
int dx = plan->waveSizes[0];
int dy = plan->waveSizes[1];
int dz = plan->waveSizes[2];
// Assign Filters
scalar_t *lorx,*lory,*lorz,*hirx,*hiry,*hirz;
lorx = plan->lor0;
lory = plan->lor0;
lorz = plan->lor0;
hirx = plan->hir0;
hiry = plan->hir0;
hirz = plan->hir0;
if (dir==0)
{
lorx = plan->lor1;
hirx = plan->hir1;
}
if (dir==1)
{
lory = plan->lor1;
hiry = plan->hir1;
}
if (dir==2)
{
lorz = plan->lor1;
hirz = plan->hir1;
}
memcpy(outImage, coeff, dx*dy*dz*sizeof(data_t));
data_t* HxLyLz = coeff + dx*dy*dz;
int level;
for (level = 1; level < plan->numLevels+1; ++level)
{
dx = plan->waveSizes[0 + 3*level];
dy = plan->waveSizes[1 + 3*level];
dz = plan->waveSizes[2 + 3*level];
int blockSize = dx*dy*dz;
data_t* LxHyLz = HxLyLz + blockSize;
data_t* HxHyLz = LxHyLz + blockSize;
data_t* LxLyHz = HxHyLz + blockSize;
data_t* HxLyHz = LxLyHz + blockSize;
data_t* LxHyHz = HxLyHz + blockSize;
data_t* HxHyHz = LxHyHz + blockSize;
data_t* LxLyLz = outImage;
int newdx = 2*dx-1 + plan->filterLen-1;
int newdy = 2*dy-1 + plan->filterLen-1;
int newdz = 2*dz-1 + plan->filterLen-1;
int dxy = dx*dy;
int newdxy = newdx*dy;
int newnewdxy = newdx*newdy;
memset(tempFull, 0, newnewdxy*newdz*sizeof(data_t));
memset(tempz, 0, newnewdxy*dz*sizeof(data_t));
memset(tempyz, 0, newdxy*dz*sizeof(data_t));
conv_up_3d(tempyz, LxLyLz, dx, 1, dy, dx, dz, dxy, lorx,plan->filterLen);
conv_up_3d(tempyz, HxLyLz, dx, 1, dy, dx, dz, dxy, hirx,plan->filterLen);
conv_up_3d(tempz, tempyz, dy, newdx, newdx, 1, dz, newdxy, lory,plan->filterLen);
memset(tempyz, 0, newdxy*dz*sizeof(data_t));
conv_up_3d(tempyz, LxHyLz, dx, 1, dy, dx, dz, dxy, lorx,plan->filterLen);
conv_up_3d(tempyz, HxHyLz, dx, 1, dy, dx, dz, dxy, hirx,plan->filterLen);
conv_up_3d(tempz, tempyz, dy, newdx, newdx, 1, dz, newdxy, hiry,plan->filterLen);
conv_up_3d(tempFull, tempz, dz, newnewdxy, newdx, 1, newdy, newdx, lorz,plan->filterLen);
memset(tempz, 0, newnewdxy*dz*sizeof(data_t));
memset(tempyz, 0, newdxy*dz*sizeof(data_t));
conv_up_3d(tempyz, LxLyHz, dx, 1, dy, dx, dz, dxy, lorx,plan->filterLen);
conv_up_3d(tempyz, HxLyHz, dx, 1, dy, dx, dz, dxy, hirx,plan->filterLen);
conv_up_3d(tempz, tempyz, dy, newdx, newdx, 1, dz, newdxy, lory,plan->filterLen);
memset(tempyz, 0, newdxy*dz*sizeof(data_t));
conv_up_3d(tempyz, LxHyHz, dx, 1, dy, dx, dz, dxy, lorx,plan->filterLen);
conv_up_3d(tempyz, HxHyHz, dx, 1, dy, dx, dz, dxy, hirx,plan->filterLen);
conv_up_3d(tempz, tempyz, dy, newdx, newdx, 1, dz, newdxy, hiry,plan->filterLen);
conv_up_3d(tempFull, tempz, dz, newnewdxy, newdx, 1, newdy, newdx, hirz,plan->filterLen);
// Crop center of workspace
int dxNext = plan->waveSizes[0+3*(level+1)];
int dyNext = plan->waveSizes[1+3*(level+1)];
int dzNext = plan->waveSizes[2+3*(level+1)];
int dxyNext = dxNext*dyNext;
dxWork = (2*dx-1 + plan->filterLen-1);
dyWork = (2*dy-1 + plan->filterLen-1);
dzWork = (2*dz-1 + plan->filterLen-1);
int dxyWork = dxWork*dyWork;
int xOffset = (int) ((dxWork - dxNext) / 2.0);
int yOffset = (int) ((dyWork - dyNext) / 2.0);
int zOffset = (int) ((dzWork - dzNext) / 2.0);
int k,j;
for (k = 0; k < dzNext; ++k){
for (j = 0; j < dyNext; ++j){
memcpy(outImage+j*dxNext + k*dxyNext, tempFull+xOffset + (yOffset+j)*dxWork + (zOffset+k)*dxyWork, dxNext*sizeof(data_t));
}
}
HxLyLz += 7*blockSize;
}
free(tempyz);
free(tempz);
free(tempFull);
circunshift_cpu(plan,outImage);
}
void circshift_cpu(struct dfwavelet_plan_s* plan, data_t *data) {
if (plan->randshift)
dfwavelet_new_randshift(plan);
// Return if no shifts
int zeroShift = 1;
int i;
for (i = 0; i< plan->numdims; i++)
{
zeroShift &= (plan->randShift[i]==0);
}
if(zeroShift) {
return;
}
// Copy data
data_t* dataCopy = malloc(sizeof(data_t)*plan->numPixel);
memcpy(dataCopy, data, plan->numPixel*sizeof(data_t));
if (plan->numdims==2)
{
int dx,dy,r0,r1,j,i,index,indexShifted;
dx = plan->imSize[0];
dy = plan->imSize[1];
r0 = plan->randShift[0];
r1 = plan->randShift[1];
#pragma omp parallel for private(index, j, i,indexShifted)
for(j = 0; j < dy; j++) {
for(i = 0; i < dx; i++) {
index = i+j*dx;
indexShifted = (((i+r0) + (j+r1)*dx)%(dx*dy)+dx*dy)%(dx*dy);
data[indexShifted] = dataCopy[index];
}
}
}
if (plan->numdims==3)
{
int dx,dy,dz,r0,r1,r2,k,j,i,index,indexShifted;
dx = plan->imSize[0];
dy = plan->imSize[1];
dz = plan->imSize[2];
r0 = plan->randShift[0];
r1 = plan->randShift[1];
r2 = plan->randShift[2];
#pragma omp parallel for private(index, k, j, i,indexShifted)
for (k = 0; k < dz; k++) {
for(j = 0; j < dy; j++) {
for(i = 0; i < dx; i++) {
index = i+j*dx+k*dx*dy;
indexShifted = ((i+r0 + (j+r1)*dx + (k+r2)*dx*dy)%(dx*dy*dz)+(dx*dy*dz))%(dx*dy*dz);
data[indexShifted] = dataCopy[index];
}
}
}
}
#pragma omp barrier
free(dataCopy);
}
void circunshift_cpu(struct dfwavelet_plan_s* plan, data_t *data) {
// Return if no shifts
int zeroShift = 1;
int i;
for (i = 0; i< plan->numdims; i++)
{
zeroShift &= (plan->randShift[i]==0);
}
if(zeroShift) {
return;
}
// Copy data
data_t* dataCopy = malloc(sizeof(data_t)*plan->numPixel);
memcpy(dataCopy, data, plan->numPixel*sizeof(data_t));
if (plan->numdims==2)
{
int dx,dy,r0,r1,j,i,index,indexShifted;
dx = plan->imSize[0];
dy = plan->imSize[1];
r0 = plan->randShift[0];
r1 = plan->randShift[1];
#pragma omp parallel for private(index, j, i,indexShifted)
for(j = 0; j < dy; j++) {
for(i = 0; i < dx; i++) {
index = i+j*dx;
indexShifted = (((i+r0) + (j+r1)*dx)%(dx*dy)+dx*dy)%(dx*dy);
data[index] = dataCopy[indexShifted];
}
}
}
if (plan->numdims==3)
{
int dx,dy,dz,r0,r1,r2,k,j,i,index,indexShifted;
dx = plan->imSize[0];
dy = plan->imSize[1];
dz = plan->imSize[2];
r0 = plan->randShift[0];
r1 = plan->randShift[1];
r2 = plan->randShift[2];
#pragma omp parallel for private(index, k, j, i,indexShifted)
for (k = 0; k < dz; k++) {
for(j = 0; j < dy; j++) {
for(i = 0; i < dx; i++) {
index = i+j*dx+k*dx*dy;
indexShifted = ((i+r0 + (j+r1)*dx + (k+r2)*dx*dy)%(dx*dy*dz)+(dx*dy*dz))%(dx*dy*dz);
data[index] = dataCopy[indexShifted];
}
}
}
}
free(dataCopy);
}
/********** Helper Function *********/
void conv_down_3d(data_t *out, data_t *in,
int size1, int skip1, int size2, int skip2, int size3, int skip3,
scalar_t *filter, int filterLen)
{
int outSize1 = (size1 + filterLen-1) / 2;
// Adjust out skip 2 and 3 if needed
int outSkip2;
if(skip2 > skip1) {
outSkip2 = outSize1*skip2/size1;
}
else {
outSkip2 = skip2;
}
int outSkip3;
if(skip3 > skip1) {
outSkip3 = outSize1*skip3/size1;
}
else {
outSkip3 = skip3;
}
int i32;
#pragma omp parallel for
for (i32 = 0; i32 < size2*size3; ++i32)
{
int i2 = i32 % size2;
int i3 = i32 / size2;
int i1;
for (i1 = 0; i1 < outSize1; ++i1)
{
out[i3*outSkip3 + i2*outSkip2 + i1*skip1] = 0.0f;
int k;
for (k = 0; k < filterLen; ++k)
{
int out_i1 = 2*i1+1 - (filterLen-1) + k;
if (out_i1 < 0) out_i1 = -out_i1-1;
if (out_i1 >= size1) out_i1 = size1-1 - (out_i1-size1);
out[i3*outSkip3 + i2*outSkip2 + i1*skip1] += in[i3*skip3 + i2*skip2 + out_i1*skip1] * filter[filterLen-1-k];
}
}
}
}
void conv_up_3d(data_t *out, data_t *in,
int size1, int skip1, int size2, int skip2, int size3, int skip3,
scalar_t *filter, int filterLen)
{
int outSize1 = 2*size1-1 + filterLen-1;
// Adjust out skip 2 and 3 if needed
int outSkip2;
if(skip2 > skip1) {
outSkip2 = outSize1*skip2/size1;
}
else {
outSkip2 = skip2;
}
int outSkip3;
if(skip3 > skip1) {
outSkip3 = outSize1*skip3/size1;
}
else {
outSkip3 = skip3;
}
int i32;
#pragma omp parallel for
for (i32 = 0; i32 < size2*size3; ++i32)
{
int i2 = i32 % size2;
int i3 = i32 / size2;
int i1;
for (i1 = 0; i1 < outSize1; ++i1) {
int k;
for (k = (i1 - (filterLen-1)) & 1; k < filterLen; k += 2){
int in_i1 = (i1 - (filterLen-1) + k) >> 1;
if (in_i1 >= 0 && in_i1 < size1)
out[i3*outSkip3 + i2*outSkip2 + i1*skip1] += in[i3*skip3 + i2*skip2 + in_i1*skip1] * filter[filterLen-1-k];
}
}
}
}
void mult(data_t* in,scalar_t scale,int numMax)
{
int i;
for(i=0; i<numMax;i++)
in[i]*=scale;
}
void create_numLevels(struct dfwavelet_plan_s* plan)
{
int numdims = plan->numdims;
int filterLen = plan->filterLen;
int bandSize, l, minSize;
plan->numLevels = 10000000;
int d;
for (d = 0; d < numdims; d++)
{
bandSize = plan->imSize[d];
minSize = plan->minSize[d];
l = 0;
while (bandSize > minSize)
{
++l;
bandSize = (bandSize + filterLen - 1) / 2;
}
l--;
plan->numLevels = (l < plan->numLevels) ? l : plan->numLevels;
}
}
void create_wavelet_sizes(struct dfwavelet_plan_s* plan)
{
int numdims = plan->numdims;
int filterLen = plan->filterLen;
int numLevels = plan->numLevels;
int numSubCoef;
plan->waveSizes = (long*) malloc(sizeof(long)*numdims*(numLevels+2));
// Get number of subband per level, (3 for 2d, 7 for 3d)
// Set the last bandSize to be imSize
int d,l;
int numSubband = 1;
for (d = 0; d<numdims; d++)
{
plan->waveSizes[d + numdims*(numLevels+1)] = plan->imSize[d];
numSubband <<= 1;
}
numSubband--;
// Get numCoeff and waveSizes
// Each bandSize[l] is (bandSize[l+1] + filterLen - 1)/2
plan->numCoeff = 0;
for (l = plan->numLevels; l >= 1; --l) {
numSubCoef = 1;
for (d = 0; d < numdims; d++)
{
plan->waveSizes[d + numdims*l] = (plan->waveSizes[d + numdims*(l+1)] + filterLen - 1) / 2;
numSubCoef *= plan->waveSizes[d + numdims*l];
}
plan->numCoeff += numSubband*numSubCoef;
if (l==1)
plan->numCoarse = numSubCoef;
}
numSubCoef = 1;
for (d = 0; d < numdims; d++)
{
plan->waveSizes[d] = plan->waveSizes[numdims+d];
numSubCoef *= plan->waveSizes[d];
}
plan->numCoeff += numSubCoef;
}
/* All filter coefficients are obtained from http://wavelets.pybytes.com/ */
void create_wavelet_filters(struct dfwavelet_plan_s* plan)
{
int filterLen = 0;
scalar_t* filter1, *filter2;
filterLen = 6;
// CDF 2.2 and CDF 3.1 Wavelet
scalar_t cdf22[] = {
0.0,-0.17677669529663689,0.35355339059327379,1.0606601717798214,0.35355339059327379,-0.17677669529663689,
0.0,0.35355339059327379,-0.70710678118654757,0.35355339059327379,0.0,0.0,
0.0,0.35355339059327379,0.70710678118654757,0.35355339059327379,0.0,0.0,
0.0,0.17677669529663689,0.35355339059327379,-1.0606601717798214,0.35355339059327379,0.17677669529663689
};
scalar_t cdf31[] = {
0.0,-0.35355339059327379,1.0606601717798214,1.0606601717798214,-0.35355339059327379,0.0 ,
0.0,-0.17677669529663689,0.53033008588991071,-0.53033008588991071,0.17677669529663689,0.0,
0.0,0.17677669529663689,0.53033008588991071,0.53033008588991071,0.17677669529663689,0.0,
0.0,-0.35355339059327379,-1.0606601717798214,1.0606601717798214,0.35355339059327379,0.0
};
filter1 = cdf22;
filter2 = cdf31;
// Allocate filters contiguously (for convenience)
plan->filterLen = filterLen;
plan->lod0 = (scalar_t*) malloc(sizeof(scalar_t) * 4 * filterLen);
memcpy(plan->lod0, filter1, 4*filterLen*sizeof(scalar_t));
plan->lod1 = (scalar_t*) malloc(sizeof(scalar_t) * 4 * filterLen);
memcpy(plan->lod1, filter2, 4*filterLen*sizeof(scalar_t));
plan->hid0 = plan->lod0 + 1*filterLen;
plan->lor0 = plan->lod0 + 2*filterLen;
plan->hir0 = plan->lod0 + 3*filterLen;
plan->hid1 = plan->lod1 + 1*filterLen;
plan->lor1 = plan->lod1 + 2*filterLen;
plan->hir1 = plan->lod1 + 3*filterLen;
}
#ifndef M_PI
#define M_PI 3.14159265358979323846
#endif
static data_t drand() /* uniform distribution, (0..1] */
{
return (rand()+1.0)/(RAND_MAX+1.0);
}
static void random_normal(data_t* in,int length)
/* normal distribution, centered on 0, std dev 1 */
{
int i;
for (i=0;i<length;i++)
in[i] = sqrt(-2*log(drand())) * cos(2*M_PI*drand());
}
void get_noise_amp(struct dfwavelet_plan_s* plan)
{
if (plan->noiseAmp==NULL)
{
// Generate Gaussian w/ mean=0, std=1 data
data_t* vx,*vy,*vz;
data_t* wcdf1,*wcdf2,*wcn;
vx = (data_t*) malloc(sizeof(data_t)*plan->numPixel);
vy = (data_t*) malloc(sizeof(data_t)*plan->numPixel);
vz = (data_t*) malloc(sizeof(data_t)*plan->numPixel);
random_normal(vx,plan->numPixel);
random_normal(vy,plan->numPixel);
random_normal(vz,plan->numPixel);
wcdf1 = (data_t*) malloc(sizeof(data_t)*plan->numCoeff);
wcdf2 = (data_t*) malloc(sizeof(data_t)*plan->numCoeff);
wcn = (data_t*) malloc(sizeof(data_t)*plan->numCoeff);
// Get Wavelet Coefficients
int temp_use_gpu = plan->use_gpu;
if (plan->use_gpu==1)
plan->use_gpu = 2;
dfwavelet_forward(plan,wcdf1,wcdf2,wcn,vx,vy,vz);
plan->use_gpu = temp_use_gpu;
// Get Noise Amp for each subband
data_t* HxLyLz1 = wcdf1 + plan->waveSizes[0]*plan->waveSizes[1]*plan->waveSizes[2];
data_t* HxLyLz2 = wcdf2 + plan->waveSizes[0]*plan->waveSizes[1]*plan->waveSizes[2];
data_t* HxLyLz3 = wcn + plan->waveSizes[0]*plan->waveSizes[1]*plan->waveSizes[2];
int l;
for (l = 1; l <= plan->numLevels; ++l){
HxLyLz1 += 7*plan->waveSizes[0 + 3*l]*plan->waveSizes[1 + 3*l]*plan->waveSizes[2 + 3*l];
HxLyLz2 += 7*plan->waveSizes[0 + 3*l]*plan->waveSizes[1 + 3*l]*plan->waveSizes[2 + 3*l];
HxLyLz3 += 7*plan->waveSizes[0 + 3*l]*plan->waveSizes[1 + 3*l]*plan->waveSizes[2 + 3*l];
}
int numBand = 7*plan->numLevels*3;
plan->noiseAmp = (scalar_t*) malloc(sizeof(scalar_t)*numBand);
int naInd = 0;
for (l = plan->numLevels; l >= 1; --l)
{
int dxNext = plan->waveSizes[0 + 3*l];
int dyNext = plan->waveSizes[1 + 3*l];
int dzNext = plan->waveSizes[2 + 3*l];
int blockSize = dxNext*dyNext*dzNext;
HxLyLz1 = HxLyLz1 - 7*blockSize;
HxLyLz2 = HxLyLz2 - 7*blockSize;
HxLyLz3 = HxLyLz3 - 7*blockSize;
int bandInd;
//#pragma omp parallel for private(bandInd)
for (bandInd=0; bandInd<7*3;bandInd++)
{
data_t *subband;
if (bandInd<7)
{
subband = HxLyLz1 + bandInd*blockSize;
} else if (bandInd<14)
{
subband = HxLyLz2 + (bandInd-7)*blockSize;
} else
{
subband = HxLyLz3 + (bandInd-14)*blockSize;
}
data_t sig = 0;
data_t mean = 0;
data_t mean_old;
int i;
for (i=0; i<blockSize; i++)
{
scalar_t x = subband[i];
mean_old = mean;
mean = mean_old + (x-mean_old)/(i+1);
sig = sig + (x - mean_old)*(x-mean);
}
sig = sqrt(sig/(blockSize-1));
plan->noiseAmp[naInd] = sig;
naInd++;
}
}
free(vx);
free(vy);
free(vz);
free(wcdf1);
free(wcdf2);
free(wcn);
}
}
|
aux_parcsr_matrix.c | /******************************************************************************
* Copyright 1998-2019 Lawrence Livermore National Security, LLC and other
* HYPRE Project Developers. See the top-level COPYRIGHT file for details.
*
* SPDX-License-Identifier: (Apache-2.0 OR MIT)
******************************************************************************/
/******************************************************************************
*
* Member functions for hypre_AuxParCSRMatrix class.
*
*****************************************************************************/
#include "_hypre_IJ_mv.h"
#include "aux_parcsr_matrix.h"
/*--------------------------------------------------------------------------
* hypre_AuxParCSRMatrixCreate
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_AuxParCSRMatrixCreate( hypre_AuxParCSRMatrix **aux_matrix,
HYPRE_Int local_num_rows,
HYPRE_Int local_num_cols,
HYPRE_Int *sizes )
{
hypre_AuxParCSRMatrix *matrix;
matrix = hypre_CTAlloc(hypre_AuxParCSRMatrix, 1, HYPRE_MEMORY_HOST);
hypre_AuxParCSRMatrixLocalNumRows(matrix) = local_num_rows;
hypre_AuxParCSRMatrixLocalNumRownnz(matrix) = local_num_rows;
hypre_AuxParCSRMatrixLocalNumCols(matrix) = local_num_cols;
hypre_AuxParCSRMatrixRowSpace(matrix) = sizes;
/* set defaults */
hypre_AuxParCSRMatrixNeedAux(matrix) = 1;
hypre_AuxParCSRMatrixMaxOffProcElmts(matrix) = 0;
hypre_AuxParCSRMatrixCurrentOffProcElmts(matrix) = 0;
hypre_AuxParCSRMatrixOffProcIIndx(matrix) = 0;
hypre_AuxParCSRMatrixRownnz(matrix) = NULL;
hypre_AuxParCSRMatrixRowLength(matrix) = NULL;
hypre_AuxParCSRMatrixAuxJ(matrix) = NULL;
hypre_AuxParCSRMatrixAuxData(matrix) = NULL;
hypre_AuxParCSRMatrixIndxDiag(matrix) = NULL;
hypre_AuxParCSRMatrixIndxOffd(matrix) = NULL;
hypre_AuxParCSRMatrixDiagSizes(matrix) = NULL;
hypre_AuxParCSRMatrixOffdSizes(matrix) = NULL;
/* stash for setting or adding on/off-proc values */
hypre_AuxParCSRMatrixOffProcI(matrix) = NULL;
hypre_AuxParCSRMatrixOffProcJ(matrix) = NULL;
hypre_AuxParCSRMatrixOffProcData(matrix) = NULL;
hypre_AuxParCSRMatrixMemoryLocation(matrix) = HYPRE_MEMORY_HOST;
#if defined(HYPRE_USING_CUDA) || defined(HYPRE_USING_HIP)
hypre_AuxParCSRMatrixMaxStackElmts(matrix) = 0;
hypre_AuxParCSRMatrixCurrentStackElmts(matrix) = 0;
hypre_AuxParCSRMatrixStackI(matrix) = NULL;
hypre_AuxParCSRMatrixStackJ(matrix) = NULL;
hypre_AuxParCSRMatrixStackData(matrix) = NULL;
hypre_AuxParCSRMatrixStackSorA(matrix) = NULL;
hypre_AuxParCSRMatrixUsrOnProcElmts(matrix) = -1;
hypre_AuxParCSRMatrixUsrOffProcElmts(matrix) = -1;
hypre_AuxParCSRMatrixInitAllocFactor(matrix) = 5.0;
hypre_AuxParCSRMatrixGrowFactor(matrix) = 2.0;
#endif
*aux_matrix = matrix;
return hypre_error_flag;
}
/*--------------------------------------------------------------------------
* hypre_AuxParCSRMatrixDestroy
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_AuxParCSRMatrixDestroy( hypre_AuxParCSRMatrix *matrix )
{
HYPRE_Int num_rownnz;
HYPRE_Int num_rows;
HYPRE_Int *rownnz;
HYPRE_Int i;
if (matrix)
{
rownnz = hypre_AuxParCSRMatrixRownnz(matrix);
num_rownnz = hypre_AuxParCSRMatrixLocalNumRownnz(matrix);
num_rows = hypre_AuxParCSRMatrixLocalNumRows(matrix);
if (hypre_AuxParCSRMatrixAuxJ(matrix))
{
if (hypre_AuxParCSRMatrixRownnz(matrix))
{
for (i = 0; i < num_rownnz; i++)
{
hypre_TFree(hypre_AuxParCSRMatrixAuxJ(matrix)[rownnz[i]], HYPRE_MEMORY_HOST);
}
}
else
{
for (i = 0; i < num_rows; i++)
{
hypre_TFree(hypre_AuxParCSRMatrixAuxJ(matrix)[i], HYPRE_MEMORY_HOST);
}
}
hypre_TFree(hypre_AuxParCSRMatrixAuxJ(matrix), HYPRE_MEMORY_HOST);
}
if (hypre_AuxParCSRMatrixAuxData(matrix))
{
if (hypre_AuxParCSRMatrixRownnz(matrix))
{
for (i = 0; i < num_rownnz; i++)
{
hypre_TFree(hypre_AuxParCSRMatrixAuxData(matrix)[rownnz[i]], HYPRE_MEMORY_HOST);
}
hypre_TFree(hypre_AuxParCSRMatrixAuxData(matrix), HYPRE_MEMORY_HOST);
}
else
{
for (i = 0; i < num_rows; i++)
{
hypre_TFree(hypre_AuxParCSRMatrixAuxData(matrix)[i], HYPRE_MEMORY_HOST);
}
hypre_TFree(hypre_AuxParCSRMatrixAuxData(matrix), HYPRE_MEMORY_HOST);
}
}
hypre_TFree(hypre_AuxParCSRMatrixRownnz(matrix), HYPRE_MEMORY_HOST);
hypre_TFree(hypre_AuxParCSRMatrixRowLength(matrix), HYPRE_MEMORY_HOST);
hypre_TFree(hypre_AuxParCSRMatrixRowSpace(matrix), HYPRE_MEMORY_HOST);
hypre_TFree(hypre_AuxParCSRMatrixIndxDiag(matrix), HYPRE_MEMORY_HOST);
hypre_TFree(hypre_AuxParCSRMatrixIndxOffd(matrix), HYPRE_MEMORY_HOST);
hypre_TFree(hypre_AuxParCSRMatrixDiagSizes(matrix), HYPRE_MEMORY_HOST);
hypre_TFree(hypre_AuxParCSRMatrixOffdSizes(matrix), HYPRE_MEMORY_HOST);
hypre_TFree(hypre_AuxParCSRMatrixOffProcI(matrix), HYPRE_MEMORY_HOST);
hypre_TFree(hypre_AuxParCSRMatrixOffProcJ(matrix), HYPRE_MEMORY_HOST);
hypre_TFree(hypre_AuxParCSRMatrixOffProcData(matrix), HYPRE_MEMORY_HOST);
#if defined(HYPRE_USING_CUDA) || defined(HYPRE_USING_HIP)
hypre_TFree(hypre_AuxParCSRMatrixStackI(matrix), hypre_AuxParCSRMatrixMemoryLocation(matrix));
hypre_TFree(hypre_AuxParCSRMatrixStackJ(matrix), hypre_AuxParCSRMatrixMemoryLocation(matrix));
hypre_TFree(hypre_AuxParCSRMatrixStackData(matrix), hypre_AuxParCSRMatrixMemoryLocation(matrix));
hypre_TFree(hypre_AuxParCSRMatrixStackSorA(matrix), hypre_AuxParCSRMatrixMemoryLocation(matrix));
#endif
hypre_TFree(matrix, HYPRE_MEMORY_HOST);
}
return hypre_error_flag;
}
/*--------------------------------------------------------------------------
* hypre_AuxParCSRMatrixSetRownnz
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_AuxParCSRMatrixSetRownnz( hypre_AuxParCSRMatrix *matrix )
{
HYPRE_Int local_num_rows = hypre_AuxParCSRMatrixLocalNumRows(matrix);
HYPRE_Int *row_space = hypre_AuxParCSRMatrixRowSpace(matrix);
HYPRE_Int num_rownnz_old = hypre_AuxParCSRMatrixLocalNumRownnz(matrix);
HYPRE_Int *rownnz_old = hypre_AuxParCSRMatrixRownnz(matrix);
HYPRE_Int *rownnz;
HYPRE_Int i, ii, local_num_rownnz;
/* Count number of nonzero rows */
local_num_rownnz = 0;
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) reduction(+:local_num_rownnz) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < local_num_rows; i++)
{
if (row_space[i] > 0)
{
local_num_rownnz++;
}
}
if (local_num_rownnz != local_num_rows)
{
rownnz = hypre_CTAlloc(HYPRE_Int, local_num_rownnz, HYPRE_MEMORY_HOST);
/* Find nonzero rows */
local_num_rownnz = 0;
for (i = 0; i < local_num_rows; i++)
{
if (row_space[i] > 0)
{
rownnz[local_num_rownnz++] = i;
}
}
/* Free memory if necessary */
if (rownnz_old && rownnz && (local_num_rownnz < num_rownnz_old))
{
ii = 0;
for (i = 0; i < num_rownnz_old; i++)
{
if (rownnz_old[i] == rownnz[ii])
{
ii++;
}
else
{
hypre_TFree(hypre_AuxParCSRMatrixAuxJ(matrix)[rownnz_old[i]], HYPRE_MEMORY_HOST);
hypre_TFree(hypre_AuxParCSRMatrixAuxData(matrix)[rownnz_old[i]], HYPRE_MEMORY_HOST);
}
if (ii == local_num_rownnz)
{
i = i + 1;
for (; i < num_rownnz_old; i++)
{
hypre_TFree(hypre_AuxParCSRMatrixAuxJ(matrix)[rownnz_old[i]],
HYPRE_MEMORY_HOST);
hypre_TFree(hypre_AuxParCSRMatrixAuxData(matrix)[rownnz_old[i]],
HYPRE_MEMORY_HOST);
}
break;
}
}
}
hypre_TFree(rownnz_old, HYPRE_MEMORY_HOST);
hypre_AuxParCSRMatrixLocalNumRownnz(matrix) = local_num_rownnz;
hypre_AuxParCSRMatrixRownnz(matrix) = rownnz;
}
else
{
hypre_TFree(rownnz_old, HYPRE_MEMORY_HOST);
hypre_AuxParCSRMatrixLocalNumRownnz(matrix) = local_num_rows;
hypre_AuxParCSRMatrixRownnz(matrix) = NULL;
}
return hypre_error_flag;
}
/*--------------------------------------------------------------------------
* hypre_AuxParCSRMatrixInitialize_v2
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_AuxParCSRMatrixInitialize_v2( hypre_AuxParCSRMatrix *matrix,
HYPRE_MemoryLocation memory_location )
{
HYPRE_Int local_num_rows = hypre_AuxParCSRMatrixLocalNumRows(matrix);
HYPRE_Int max_off_proc_elmts = hypre_AuxParCSRMatrixMaxOffProcElmts(matrix);
hypre_AuxParCSRMatrixMemoryLocation(matrix) = memory_location;
if (local_num_rows < 0)
{
return -1;
}
if (local_num_rows == 0)
{
return 0;
}
/* WM: Q - added the macro guards here (since IJ assembly not yet ported to sycl)... is this OK/correct? */
#if defined(HYPRE_USING_CUDA) || defined(HYPRE_USING_HIP)
if (memory_location != HYPRE_MEMORY_HOST)
{
/* GPU assembly */
hypre_AuxParCSRMatrixNeedAux(matrix) = 1;
}
else
#endif
{
/* CPU assembly */
/* allocate stash for setting or adding off processor values */
if (max_off_proc_elmts > 0)
{
hypre_AuxParCSRMatrixOffProcI(matrix) = hypre_CTAlloc(HYPRE_BigInt, 2 * max_off_proc_elmts,
HYPRE_MEMORY_HOST);
hypre_AuxParCSRMatrixOffProcJ(matrix) = hypre_CTAlloc(HYPRE_BigInt, max_off_proc_elmts,
HYPRE_MEMORY_HOST);
hypre_AuxParCSRMatrixOffProcData(matrix) = hypre_CTAlloc(HYPRE_Complex, max_off_proc_elmts,
HYPRE_MEMORY_HOST);
}
if (hypre_AuxParCSRMatrixNeedAux(matrix))
{
HYPRE_Int *row_space = hypre_AuxParCSRMatrixRowSpace(matrix);
HYPRE_Int *rownnz = hypre_AuxParCSRMatrixRownnz(matrix);
HYPRE_BigInt **aux_j = hypre_CTAlloc(HYPRE_BigInt *, local_num_rows, HYPRE_MEMORY_HOST);
HYPRE_Complex **aux_data = hypre_CTAlloc(HYPRE_Complex *, local_num_rows, HYPRE_MEMORY_HOST);
HYPRE_Int local_num_rownnz;
HYPRE_Int i, ii;
if (row_space)
{
/* Count number of nonzero rows */
local_num_rownnz = 0;
for (i = 0; i < local_num_rows; i++)
{
if (row_space[i] > 0)
{
local_num_rownnz++;
}
}
if (local_num_rownnz != local_num_rows)
{
rownnz = hypre_CTAlloc(HYPRE_Int, local_num_rownnz, HYPRE_MEMORY_HOST);
/* Find nonzero rows */
local_num_rownnz = 0;
for (i = 0; i < local_num_rows; i++)
{
if (row_space[i] > 0)
{
rownnz[local_num_rownnz++] = i;
}
}
hypre_AuxParCSRMatrixLocalNumRownnz(matrix) = local_num_rownnz;
hypre_AuxParCSRMatrixRownnz(matrix) = rownnz;
}
}
if (!hypre_AuxParCSRMatrixRowLength(matrix))
{
hypre_AuxParCSRMatrixRowLength(matrix) = hypre_CTAlloc(HYPRE_Int, local_num_rows,
HYPRE_MEMORY_HOST);
}
if (row_space)
{
if (local_num_rownnz != local_num_rows)
{
for (i = 0; i < local_num_rownnz; i++)
{
ii = rownnz[i];
aux_j[ii] = hypre_CTAlloc(HYPRE_BigInt, row_space[ii], HYPRE_MEMORY_HOST);
aux_data[ii] = hypre_CTAlloc(HYPRE_Complex, row_space[ii], HYPRE_MEMORY_HOST);
}
}
else
{
for (i = 0; i < local_num_rows; i++)
{
aux_j[i] = hypre_CTAlloc(HYPRE_BigInt, row_space[i], HYPRE_MEMORY_HOST);
aux_data[i] = hypre_CTAlloc(HYPRE_Complex, row_space[i], HYPRE_MEMORY_HOST);
}
}
}
else
{
row_space = hypre_CTAlloc(HYPRE_Int, local_num_rows, HYPRE_MEMORY_HOST);
for (i = 0; i < local_num_rows; i++)
{
row_space[i] = 30;
aux_j[i] = hypre_CTAlloc(HYPRE_BigInt, 30, HYPRE_MEMORY_HOST);
aux_data[i] = hypre_CTAlloc(HYPRE_Complex, 30, HYPRE_MEMORY_HOST);
}
hypre_AuxParCSRMatrixRowSpace(matrix) = row_space;
}
hypre_AuxParCSRMatrixAuxJ(matrix) = aux_j;
hypre_AuxParCSRMatrixAuxData(matrix) = aux_data;
}
else
{
hypre_AuxParCSRMatrixIndxDiag(matrix) = hypre_CTAlloc(HYPRE_Int, local_num_rows, HYPRE_MEMORY_HOST);
hypre_AuxParCSRMatrixIndxOffd(matrix) = hypre_CTAlloc(HYPRE_Int, local_num_rows, HYPRE_MEMORY_HOST);
}
}
return hypre_error_flag;
}
HYPRE_Int
hypre_AuxParCSRMatrixInitialize(hypre_AuxParCSRMatrix *matrix)
{
if (matrix)
{
return hypre_AuxParCSRMatrixInitialize_v2(matrix, hypre_AuxParCSRMatrixMemoryLocation(matrix));
}
return -2;
}
|
pr70550-1.c | /* PR middle-end/70550 */
/* { dg-do compile } */
/* { dg-additional-options "-Wuninitialized" } */
#ifdef __SIZEOF_INT128__
typedef __int128 T;
#else
typedef long long T;
#endif
void bar (T);
#pragma omp declare target (bar)
void
foo (void)
{
{
int i;
#pragma omp target defaultmap(tofrom:scalar) /* { dg-bogus "is used uninitialized" } */
{
i = 26;
bar (i);
}
}
{
T j;
#pragma omp target defaultmap(tofrom:scalar) /* { dg-bogus "is used uninitialized" } */
{
j = 37;
bar (j);
}
}
{
int i;
#pragma omp target /* { dg-bogus "is used uninitialized" } */
{
i = 26;
bar (i);
}
}
{
T j;
#pragma omp target /* { dg-bogus "is used uninitialized" } */
{
j = 37;
bar (j);
}
}
{
int i;
#pragma omp target firstprivate (i) /* { dg-warning "is used uninitialized" } */
{
i = 26;
bar (i);
}
}
{
T j;
#pragma omp target firstprivate (j) /* { dg-warning "is used uninitialized" } */
{
j = 37;
bar (j);
}
}
{
int i;
#pragma omp target private (i) /* { dg-bogus "is used uninitialized" } */
{
i = 26;
bar (i);
}
}
{
T j;
#pragma omp target private (j) /* { dg-bogus "is used uninitialized" } */
{
j = 37;
bar (j);
}
}
}
|
Image.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 BK_IMAGE_H
#define BK_IMAGE_H
#include <algorithm>
#include <cassert>
#include <functional>
#include <limits>
#include <initializer_list>
#include <iostream>
#include <iterator>
#include <string_view>
#include <utility>
#include <bk/Matrix>
#include <bkMath/functions/list_grid_id_conversion.h>
#include <bkTypeTraits/complex_traits.h>
#include <bkTypeTraits/has_index_operator.h>
#include <bkTypeTraits/variadic_template_helpers.h>
#include <bk/NDContainer>
#include <bk/StringUtils>
#include <bkDataset/dataobject/DataObject.h>
#include <bkDataset/geometry/GridGeometry.h>
#include <bkDataset/geometry/TransformableGeometry.h>
#include <bkDataset/topology/GridTopology.h>
#include <bkDataset/transformation/ScaleTransformation.h>
#include <bkDataset/transformation/WorldMatrixTransformation.h>
#include <bkDataset/transformation/NoTransformation.h>
#include <bkDataset/transformation/DicomTransformation.h>
#include <bkDataset/image/filter/ConvolutionImageFilter.h>
#include <bkDataset/image/interpolation/NearestNeighborImageInterpolation.h>
#include <bkDataset/image/interpolation/LinearImageInterpolation.h>
#ifdef BK_LIB_PNG_AVAILABLE
#include <png.h>
#endif
namespace bk
{
template<typename TValue, int TDims, typename TTransformation = NoTransformation<TDims>>
class Image : public DataObject<TransformableGeometry<GridGeometry<TDims>, TTransformation>, GridTopology<TDims>>
{
//====================================================================================================
//===== ASSERTIONS
//====================================================================================================
static_assert(TDims == -1 || TDims > 0);
//====================================================================================================
//===== DEFINITIONS
//====================================================================================================
using self_type = Image<TValue, TDims, TTransformation>;
using base_type = DataObject<TransformableGeometry<GridGeometry<TDims>, TTransformation>, GridTopology<TDims>>;
public:
using value_type = TValue;
template<typename TValue_ = TValue, int TDims_ = TDims> using self_template_type = Image<TValue_, TDims_>;
/// @{ -------------------------------------------------- GET COMPILE-TIME PARAMETERS
[[nodiscard]] static constexpr unsigned int NumDimensionsAtCompileTime()
{ return static_cast<unsigned int>(std::max(TDims, 0)); }
[[nodiscard]] static constexpr const char* DefaultAttributeName()
{ return "default_image_value"; }
[[nodiscard]] static constexpr unsigned long long DefaultAttributeHash()
{ return bk::string_utils::hash(DefaultAttributeName()); }
/// @}
//====================================================================================================
//===== CONSTRUCTORS & DESTRUCTOR
//====================================================================================================
/// @{ -------------------------------------------------- CONSTRUCTORS
Image() = default;
Image(const self_type&) = default;
Image(self_type&&) noexcept = default;
template<typename TValue_, int TDims_, typename TTransformation_>
Image(const Image<TValue_, TDims_, TTransformation_>& other)
{ *this = other; }
/// @}
/// @{ -------------------------------------------------- DESTRUCTOR
~Image() = default;
/// @}
//====================================================================================================
//===== GETTER
//====================================================================================================
private:
/// @{ -------------------------------------------------- HELPER: GET VALUE ND VECTOR
[[nodiscard]] NDVector<value_type>& _value_vector()
{ return this->template point_attribute_vector_of_type<value_type>(DefaultAttributeHash()); }
[[nodiscard]] const NDVector<value_type>& _value_vector() const
{ return this->template point_attribute_vector_of_type<value_type>(DefaultAttributeHash()); }
/// @}
/// @{ -------------------------------------------------- HELPER: VALID NUMBER OF ARGUMENTS
template<typename... T>
[[nodiscard]] static constexpr bool _valid_num_arguments(const T& ...)
{
constexpr unsigned int N = sizeof...(T);
return TDims == -1 || N == TDims || (N == 1 && bk::has_index_operator_v<bk::template_parameter_pack_arg_t<0, T...>>);
}
/// @}
/// @{ -------------------------------------------------- HELPER: HAS DEFAULT VALUE ATTRIBUTE
[[nodiscard]] bool _has_default_value_attribute() const
{ return this->point_attribute_map().has_attribute(DefaultAttributeHash()); }
/// @}
public:
/// @{ -------------------------------------------------- GET DATA VECTOR
[[nodiscard]] NDVector<value_type>& data()
{ return this->template point_attribute_vector_of_type<value_type>(DefaultAttributeHash()); }
[[nodiscard]] const NDVector<value_type>& data() const
{ return this->template point_attribute_vector_of_type<value_type>(DefaultAttributeHash()); }
/// @}
/// @{ -------------------------------------------------- IS VALID GRID POS
template<typename TIndexAccessible>
[[nodiscard]] bool is_valid_grid_pos(const TIndexAccessible& gp) const
{
for (unsigned int i = 0; i < num_dimensions(); ++i)
{
if (static_cast<int>(gp[i]) < 0 || static_cast<int>(gp[i]) >= static_cast<int>(size(i)))
{ return false; }
}
return true;
}
/// @}
/// @{ -------------------------------------------------- GET NUM DIMENSIONS
[[nodiscard]] unsigned int num_dimensions() const
{ return this->geometry().num_dimensions(); }
/// @}
/// @{ -------------------------------------------------- GET SIZE
[[nodiscard]] auto size() const
{ return this->geometry().size(); }
[[nodiscard]] unsigned int size(unsigned int dimId) const
{ return this->geometry().size(dimId); }
/// @}
/// @{ -------------------------------------------------- GET NUM VALUES
[[nodiscard]] unsigned int num_values() const
{ // the total number of pixels
return this->geometry().num_points();
}
/// @}
/// @{ -------------------------------------------------- OPERATOR[]
[[nodiscard]] value_type& operator[](unsigned int id)
{
assert(_has_default_value_attribute() && "call set_size() first");
return _value_vector()[id];
}
[[nodiscard]] const value_type& operator[](unsigned int id) const
{
assert(_has_default_value_attribute() && "call set_size() first");
return _value_vector()[id];
}
/// @}
/// @{ -------------------------------------------------- OPERATOR()
template<typename... TIds>
[[nodiscard]] value_type& operator()(const TIds& ... ids)
{
static_assert(_valid_num_arguments(ids...));
assert(_has_default_value_attribute() && "call set_size() first");
return this->template point_attribute_value_of_type<value_type>(DefaultAttributeHash(), ids...);
}
template<typename... TIds>
[[nodiscard]] const value_type& operator()(const TIds& ... ids) const
{
static_assert(_valid_num_arguments(ids...));
assert(_has_default_value_attribute() && "call set_size() first");
return this->template point_attribute_value_of_type<value_type>(DefaultAttributeHash(), ids...);
}
/// @}
/// @{ -------------------------------------------------- GET ITERATORS
[[nodiscard]] auto begin()
{
assert(_has_default_value_attribute() && "call set_size() first");
return _value_vector().begin();
}
[[nodiscard]] auto begin() const
{
assert(_has_default_value_attribute() && "call set_size() first");
return _value_vector().begin();
}
[[nodiscard]] auto cbegin() const
{
assert(_has_default_value_attribute() && "call set_size() first");
return _value_vector().cbegin();
}
[[nodiscard]] auto end()
{
assert(_has_default_value_attribute() && "call set_size() first");
return _value_vector().end();
}
[[nodiscard]] auto end() const
{
assert(_has_default_value_attribute() && "call set_size() first");
return _value_vector().end();
}
[[nodiscard]] auto cend() const
{
assert(_has_default_value_attribute() && "call set_size() first");
return _value_vector().cend();
}
[[nodiscard]] auto rbegin()
{
assert(_has_default_value_attribute() && "call set_size() first");
return _value_vector().rbegin();
}
[[nodiscard]] auto rbegin() const
{
assert(_has_default_value_attribute() && "call set_size() first");
return _value_vector().rbegin();
}
[[nodiscard]] auto crbegin() const
{
assert(_has_default_value_attribute() && "call set_size() first");
return _value_vector().crbegin();
}
[[nodiscard]] auto rend()
{
assert(_has_default_value_attribute() && "call set_size() first");
return _value_vector().rend();
}
[[nodiscard]] auto rend() const
{
assert(_has_default_value_attribute() && "call set_size() first");
return _value_vector().rend();
}
[[nodiscard]] auto crend() const
{
assert(_has_default_value_attribute() && "call set_size() first");
return _value_vector().crend();
}
/// @}
/// @{ -------------------------------------------------- GET SUB IMAGE
// todo: extract sub image (block) between 2 given positions
/// @}
/// @{ -------------------------------------------------- GET MIN VALUE
template<typename TCompareLess = std::less<value_type>>
[[nodiscard]] auto min_element_iterator(TCompareLess comp = TCompareLess())
{
assert(_has_default_value_attribute() && "call set_size() first");
return std::min_element(begin(), end(), comp);
}
template<typename TCompareLess = std::less<value_type>>
[[nodiscard]] value_type min_value(TCompareLess comp = TCompareLess()) const
{
assert(_has_default_value_attribute() && "call set_size() first");
if (num_values() == 0)
{ return value_type(); }
else
{
value_type x = (*this)[0];
for (unsigned int i = 1; i < num_values(); ++i)
{ x = std::min(x, (*this)[i], comp); }
return x;
}
}
template<typename TCompareLess = std::less<value_type>>
[[nodiscard]] std::pair<value_type, unsigned int> min_value_with_id(TCompareLess comp = TCompareLess()) const
{
assert(_has_default_value_attribute() && "call set_size() first");
if (num_values() == 0)
{ return value_type(); }
else
{
value_type x = (*this)[0];
unsigned int listId = 0;
for (unsigned int i = 1; i < num_values(); ++i)
{
if ((*this)[i] < x)
{
x = (*this)[i];
listId = i;
}
}
return std::pair<value_type, unsigned int>(x, listId);
}
}
template<typename TCompareLess = std::less<value_type>>
[[nodiscard]] auto min_value_with_pos(TCompareLess comp = TCompareLess()) const
{
assert(_has_default_value_attribute() && "call set_size() first");
auto[minVal, listId] = min_value_with_id(comp);
return std::make_pair(minVal, bk::list_to_grid_id(size(), listId));
}
/// @}
/// @{ -------------------------------------------------- GET MIN VALUE CWISE
[[nodiscard]] value_type min_value_cwise() const
{
if constexpr (bk::is_matrix_v<value_type>)
{
using T = typename value_type::value_type;
value_type m = value_type::Constant(std::numeric_limits<T>::max());
for (unsigned int i = 0; i < num_values(); ++i)
{
for (unsigned int k = 0; k < m.num_elements(); ++k)
{ m[k] = std::min(m[k], operator[](i)[k]); }
}
return m;
}
else
{ return min_value(); }
}
/// @}
/// @{ -------------------------------------------------- GET MAX VALUE
template<typename TCompareLess = std::less<value_type>>
[[nodiscard]] auto max_element_iterator(TCompareLess comp = TCompareLess())
{
assert(_has_default_value_attribute() && "call set_size() first");
return std::max_element(begin(), end(), comp);
}
template<typename TCompareLess = std::less<value_type>>
[[nodiscard]] value_type max_value(TCompareLess comp = TCompareLess()) const
{
assert(_has_default_value_attribute() && "call set_size() first");
if (num_values() == 0)
{ return value_type(); }
else
{
value_type x = (*this)[0];
for (unsigned int i = 1; i < num_values(); ++i)
{ x = std::max(x, (*this)[i], comp); }
return x;
}
}
template<typename TCompareLess = std::less<value_type>>
[[nodiscard]] std::pair<value_type, unsigned int> max_value_with_id(TCompareLess comp = TCompareLess()) const
{
assert(_has_default_value_attribute() && "call set_size() first");
if (num_values() == 0)
{ return value_type(); }
else
{
value_type x = (*this)[0];
unsigned int listId = 0;
for (unsigned int i = 1; i < num_values(); ++i)
{
if ((*this)[i] < x)
{
x = (*this)[i];
listId = i;
}
}
return std::pair<value_type, unsigned int>(x, listId);
}
}
template<typename TCompareLess = std::less<value_type>>
[[nodiscard]] auto max_value_with_pos(TCompareLess comp = TCompareLess()) const
{
assert(_has_default_value_attribute() && "call set_size() first");
auto[maxVal, listId] = max_value_with_id(comp);
return std::make_pair(maxVal, bk::list_to_grid_id(size(), listId));
}
/// @}
/// @{ -------------------------------------------------- GET MAX VALUE CWISE
[[nodiscard]] value_type max_value_cwise() const
{
if constexpr (bk::is_matrix_v<value_type>)
{
using T = typename value_type::value_type;
value_type m = value_type::Constant(std::numeric_limits<T>::lowest());
for (unsigned int i = 0; i < num_values(); ++i)
{
for (unsigned int k = 0; k < m.num_elements(); ++k)
{ m[k] = std::max(m[k], operator[](i)[k]); }
}
return m;
}
else
{ return max_value(); }
}
/// @}
/// @{ -------------------------------------------------- GET MIN/MAX VALUE
template<typename TCompareLess = std::less<value_type>>
[[nodiscard]] auto minmax_element_iterator(TCompareLess comp = TCompareLess())
{
assert(_has_default_value_attribute() && "call set_size() first");
return {min_element_iterator(comp), max_element_iterator(comp)};
}
template<typename TCompareLess = std::less<value_type>>
[[nodiscard]] std::pair<value_type, value_type> minmax_value(TCompareLess comp = TCompareLess()) const
{
assert(_has_default_value_attribute() && "call set_size() first");
return {min_value(comp), max_value(comp)};
}
/// @}
/// @{ -------------------------------------------------- HELPER: GET NEIGHBORHOOD VALUES
private:
template<typename TIndexAccessible, typename TIndexAccessible2, typename TIndexAccessible3>
void _values_of_neighborhood(unsigned int dimId, const TIndexAccessible& gid, TIndexAccessible2& off, TIndexAccessible3& neighborhood_size, std::vector<value_type>& values) const
{
const int halfsize = neighborhood_size[dimId] >> 1; // integer division
if (dimId < num_dimensions() - 1)
{
for (int i = -halfsize; i <= halfsize; ++i)
{
off[dimId] = i;
_values_of_neighborhood(dimId + 1, gid, off, neighborhood_size, values);
} // for i
}
else
{
for (int i = -halfsize; i <= halfsize; ++i)
{
off[dimId] = i;
auto gidoff = MatrixFactory::create<int, NumDimensionsAtCompileTime(), 1>(num_dimensions(), 1);
bool valid = true;
for (unsigned int d = 0; d < num_dimensions(); ++d)
{
gidoff[d] = gid[d] + off[d];
if (static_cast<int>(gidoff[d]) < 0 || static_cast<int>(gidoff[d]) >= static_cast<int>(size(dimId)))
{
valid = false;
break;
}
}
if (valid)
{ values.push_back(operator()(gidoff)); }
} // for i
}
}
public:
/// @}
/// @{ -------------------------------------------------- GET NEIGHBORHOOD VALUES
template<typename TIndexAccessible, typename TIndexAccessible2, std::enable_if_t<bk::has_index_operator_v<TIndexAccessible> && bk::has_index_operator_v<TIndexAccessible2>>* = nullptr>
[[nodiscard]] std::vector<value_type> values_of_neighborhood(const TIndexAccessible& gid, const TIndexAccessible2& neighborhood_size) const
{
auto gidoff = MatrixFactory::create<int, NumDimensionsAtCompileTime(), 1>(num_dimensions(), 1);
std::vector<value_type> neighbor_values;
const unsigned int numValuesInNeighborhood = std::accumulate(neighborhood_size.begin(), neighborhood_size.end(), 1, [](unsigned int x, unsigned int y)
{ return x * y; });
if (numValuesInNeighborhood > 0)
{
neighbor_values.reserve(numValuesInNeighborhood);
_values_of_neighborhood(0, gid, gidoff, neighborhood_size, neighbor_values);
}
return neighbor_values;
}
template<typename TIndexAccessible, std::enable_if_t<bk::has_index_operator_v<TIndexAccessible>>* = nullptr>
[[nodiscard]] std::vector<value_type> values_of_neighborhood(unsigned int listId, const TIndexAccessible& neighborhood_size) const
{ return values_of_neighborhood(bk::list_to_grid_id(size(), listId), neighborhood_size); }
[[nodiscard]] std::vector<value_type> values_of_neighborhood(unsigned int listId, unsigned int neighborhood_size) const
{ return values_of_neighborhood(bk::list_to_grid_id(size(), listId), MatrixFactory::Constant<unsigned int, TDims, 1>(neighborhood_size, num_dimensions(), 1)); }
/// @}
//====================================================================================================
//===== SETTER
//====================================================================================================
/// @{ -------------------------------------------------- OPERATOR =
[[maybe_unused]] self_type& operator=(const self_type&) = default;
[[maybe_unused]] self_type& operator=(self_type&&) noexcept = default;
template<typename TValue_, int TDims_, typename TTransformation_>
[[maybe_unused]] self_type& operator=(const Image<TValue_, TDims_, TTransformation_>& other)
{
static_assert(NumDimensionsAtCompileTime() == TDims_ || NumDimensionsAtCompileTime() == -1 || TDims_ == -1, "dimension mismatch");
set_size(other.size());
std::copy(other.cbegin(), other.cend(), begin());
return *this;
}
/// @}
/// @{ -------------------------------------------------- SET SIZE
private:
template<int I, typename TId0, typename... TIds>
bool _has_correct_size(TId0 id0, TIds... ids)
{
if constexpr (sizeof...(TIds) == 0)
{ return static_cast<int>(id0) == static_cast<int>(size(I)); }
else
{ return static_cast<int>(id0) == static_cast<int>(size(I)) && _has_correct_size<I + 1>(ids...); }
}
public:
template<typename... TIds>
void set_size(const TIds& ... ids)
{
static_assert(_valid_num_arguments(ids...));
bool hasCorrectSizeAlready = false;
if (sizeof...(TIds) == num_dimensions())
{
if constexpr (std::conjunction_v<std::is_integral<TIds>...>)
{ hasCorrectSizeAlready = _has_correct_size<0>(ids...); }
else if constexpr(bk::has_index_operator_v<bk::template_parameter_pack_arg_t<0, TIds...>>)
{
hasCorrectSizeAlready = true;
for (unsigned int i = 0; i < num_dimensions(); ++i)
{
if (size(i) != bk::template_parameter_pack_arg<0, TIds...>::value(ids...)[i])
{
hasCorrectSizeAlready = false;
break;
}
}
}
}
if (!hasCorrectSizeAlready)
{
this->geometry().set_size(ids...);
this->topology().set_size(ids...);
this->template add_point_attribute_vector_of_type<value_type>(DefaultAttributeHash());
}
}
/// @}
/// @{ -------------------------------------------------- SET CONSTANT
//! sets each element to a given value
void set_constant(const value_type& x)
{ _value_vector().fill(x); }
/// @}
//====================================================================================================
//===== FUNCTIONS
//====================================================================================================
/// @{ -------------------------------------------------- ALLOCATE VALUE
template<typename T = value_type>
[[nodiscard]] auto allocate_value() const
{
if constexpr(bk::is_matrix_v<value_type>)
{
typename value_type::template self_template_type<T> res;
if constexpr(bk::is_dynamic_matrix_v<value_type>)
{ res.set_size(operator[](0).num_rows(), operator[](0).num_cols()); }
return res;
}
else if constexpr (bk::is_complex_v<value_type>)
{ return std::complex<T>(); }
else if constexpr (std::is_scalar_v<T>)
{ return static_cast<T>(0); }
else
{ return T(); }
}
/// @}
/// @{ -------------------------------------------------- SWAP
template<typename TValue_, int TDims_, typename TTransformation_>
void swap(const Image<TValue_, TDims_, TTransformation_>& other)
{
static_assert(NumDimensionsAtCompileTime() == TDims_ || NumDimensionsAtCompileTime() == -1 || TDims_ == -1, "dimension mismatch");
self_type temp(*this);
*this = other;
other = std::move(temp);
}
void swap(self_type&& other)
{ *this = std::move(other); }
/// @}
/// @{ -------------------------------------------------- CLAMP TO SIZE
template<typename T>
[[nodiscard]] T clamp_to_size(T&& x) const
{
T res(std::forward<T>(x));
for (unsigned int dimId = 0; dimId < num_dimensions(); ++dimId)
{ res[dimId] = clamp_to_size_of_dim(res[dimId], dimId); }
return res;
}
template<typename T>
[[nodiscard]] T clamp_to_size_of_dim(T i, unsigned int dimId) const
{
static_assert(std::is_scalar_v<T>, "parameter must have scalar type");
assert(dimId < num_dimensions() && "invalid dimId");
return std::clamp(i, static_cast<T>(0), static_cast<T>(this->size(dimId) - 1));
}
/// @}
/// @{ -------------------------------------------------- INTERPOLATE GRID POS
template<typename TIndexAccessible, typename TInterpolator = LinearImageInterpolation>
[[nodiscard]] auto interpolate_at_grid_pos(TIndexAccessible&& grid_pos, TInterpolator interp = TInterpolator()) const
{ return interp(*this, std::forward<TIndexAccessible>(grid_pos)); }
template<typename T, typename TInterpolator = LinearImageInterpolation>
[[nodiscard]] auto interpolate_at_grid_pos(std::initializer_list<T> grid_pos, TInterpolator interp = TInterpolator()) const
{ return interp(*this, std::vector<T>(grid_pos.begin(), grid_pos.end())); }
/// @}
/// @{ -------------------------------------------------- INTERPOLATE WORLD POS
template<typename TIndexAccessible, typename TInterpolator = LinearImageInterpolation>
[[nodiscard]] auto interpolate(TIndexAccessible&& world_pos, TInterpolator interp = TInterpolator()) const
{ return interpolate_at_grid_pos(this->geometry().transformation().to_object_coordinates(std::forward<TIndexAccessible>(world_pos)), interp); }
template<typename T, typename TInterpolator = LinearImageInterpolation>
[[nodiscard]] auto interpolate(std::initializer_list<T> world_pos, TInterpolator interp = TInterpolator()) const
{ return interpolate_at_grid_pos(this->geometry().transformation().to_object_coordinates(world_pos), interp); }
/// @}
/// @{ -------------------------------------------------- JACOBIAN
template<typename TIndexAccessible>
[[nodiscard]] MatXd jacobian_at_grid_pos(const TIndexAccessible& grid_pos) const
{
auto temp0 = MatrixFactory::create<double, NumDimensionsAtCompileTime(), 1>(num_dimensions(), 1);
auto temp1 = MatrixFactory::create<double, NumDimensionsAtCompileTime(), 1>(num_dimensions(), 1);
std::vector<double> dimscale(num_dimensions());
for (unsigned int dimId = 0; dimId < num_dimensions(); ++dimId)
{
temp0.set_zero();
temp0 = this->geometry().transformation().to_world_coordinates(temp0);
temp1.set_zero();
temp1[dimId] = 1;
temp1 = this->geometry().transformation().to_world_coordinates(temp1);
dimscale[dimId] = temp0.distance(temp1);
}
MatXd J;
if constexpr (bk::is_matrix_v<value_type>)
{
const value_type& v = operator[](0);
J.set_size(std::max(v.num_rows(), v.num_cols()), v.num_elements());
}
else
{ J.set_size(num_dimensions(), 1); }
// helper function
constexpr auto assign_to_jacobian = [](MatXd& j, unsigned int d, auto&& x)
{
if constexpr (bk::is_matrix_v<value_type>)
{ j.col_ref(d) = x; }
else
{ j[d] = x; }
};
for (unsigned int dimId = 0; dimId < num_dimensions(); ++dimId)
{
temp0 = grid_pos;
temp1 = grid_pos;
if (static_cast<double>(grid_pos[dimId]) >= dimscale[dimId] && grid_pos[dimId] <= static_cast<double>(this->geometry().size(dimId) - 1) - dimscale[dimId])
{ // central difference
temp0[dimId] -= dimscale[dimId];
temp1[dimId] += dimscale[dimId];
assign_to_jacobian(J, dimId, (interpolate_at_grid_pos(temp1) - interpolate_at_grid_pos(temp0)) / (2 * dimscale[dimId]));
}
else if (grid_pos[dimId] < dimscale[dimId])
{ // forward difference
temp1[dimId] += dimscale[dimId];
assign_to_jacobian(J, dimId, (interpolate_at_grid_pos(temp1) - interpolate_at_grid_pos(temp0)) / dimscale[dimId]);
}
else
{ // backward difference
temp0[dimId] -= dimscale[dimId];
assign_to_jacobian(J, dimId, (interpolate_at_grid_pos(temp1) - interpolate_at_grid_pos(temp0)) / dimscale[dimId]);
}
}
return J;
}
template<typename TIndexAccessible>
[[nodiscard]] auto jacobian(TIndexAccessible&& world_pos) const
{ return jacobian_at_grid_pos(this->geometry().transformation().to_object_coordinates(std::forward<TIndexAccessible>(world_pos))); }
template<typename T>
[[nodiscard]] auto jacobian(std::initializer_list<T> world_pos) const
{ return jacobian_at_grid_pos(this->geometry().transformation().to_object_coordinates(world_pos)); }
/// @}
/// @{ -------------------------------------------------- GRADIENT
//! alias for jacobian
template<typename TIndexAccessible>
[[nodiscard]] MatXd gradient_at_grid_pos(const TIndexAccessible& grid_pos) const
{ return jacobian_at_grid_pos(grid_pos); }
template<typename TIndexAccessible>
[[nodiscard]] auto gradient(TIndexAccessible&& world_pos) const
{ return jacobian(std::forward<TIndexAccessible>(world_pos)); }
template<typename T>
[[nodiscard]] auto gradient(std::initializer_list<T> world_pos) const
{ return jacobian(world_pos); }
/// @}
/// @{ -------------------------------------------------- GRADIENT STRENGTH
//! length of the gradient vector (norm of jacobian matrix)
template<typename TIndexAccessible>
[[nodiscard]] double gradient_strength_at_grid_pos(const TIndexAccessible& grid_pos) const
{ return jacobian_at_grid_pos(grid_pos).norm(); }
template<typename TIndexAccessible>
[[nodiscard]] double gradient_strength(TIndexAccessible&& world_pos) const
{ return gradient_strength_at_grid_pos(this->geometry().transformation().to_object_coordinates(std::forward<TIndexAccessible>(world_pos))); }
template<typename T>
[[nodiscard]] auto gradient_strength(std::initializer_list<T> world_pos) const
{ return gradient_strength_at_grid_pos(this->geometry().transformation().to_object_coordinates(world_pos)); }
/// @}
/// @{ -------------------------------------------------- HELPERS: CONVOLUTION
private:
template<typename TKernel, typename TIndexAccessible, typename TIndexAccessible2, typename TIndexAccessible3, typename T>
void _apply_convolution_kernel(unsigned int dimId, const TKernel& kernel, const TIndexAccessible& gid, TIndexAccessible2& off, TIndexAccessible3& kernel_gid, T& newval) const
{
const int halfsize = kernel.size(dimId) >> 1; // integer division
if (dimId < num_dimensions() - 1)
{
for (int i = -halfsize; i <= halfsize; ++i)
{
off[dimId] = i;
kernel_gid[dimId] = i + halfsize;
_apply_convolution_kernel(dimId + 1, kernel, gid, off, kernel_gid, newval);
} // for i
}
else
{
for (int i = -halfsize; i <= halfsize; ++i)
{
off[dimId] = i;
kernel_gid[dimId] = i + halfsize;
auto gidoff = MatrixFactory::create<int, NumDimensionsAtCompileTime(), 1>(num_dimensions(), 1);
for (unsigned int d = 0; d < num_dimensions(); ++d)
{ gidoff[d] = gid[d] + off[d]; }
gidoff = clamp_to_size(std::move(gidoff));
newval += operator()(gidoff) * kernel(kernel_gid);
} // for i
}
}
public:
/// @}
/// @{ -------------------------------------------------- CONVOLUTION
//! apply convolution kernel to a single position
template<typename TKernel, typename TIndexAccessible>
[[nodiscard]] auto apply_convolution_kernel(const TKernel& kernel, const TIndexAccessible& gid) const
{
auto gidoff = MatrixFactory::create<int, NumDimensionsAtCompileTime(), 1>(num_dimensions(), 1);
auto kernel_gid = MatrixFactory::create<int, NumDimensionsAtCompileTime(), 1>(num_dimensions(), 1);
auto res = allocate_value<double>();
_apply_convolution_kernel(0, kernel, gid, gidoff, kernel_gid, res);
return res;
}
/// @}
//====================================================================================================
//===== FILTERS
//====================================================================================================
/// @{ -------------------------------------------------- FILTER: CONVOLUTION
template<typename TKernel>
[[nodiscard]] self_type filter_convolution(const TKernel& kernel) const
{
ConvolutionImageFilter f;
return f.apply(*this, kernel);
}
/// @}
/// @{ -------------------------------------------------- APPLY FILTER
template<typename TFilter>
[[nodiscard]] auto filter(const TFilter& f) const
{ return f.apply(*this); }
template<typename TFilter>
[[nodiscard]] auto filter(TFilter& f) const
{ return f.apply(*this); }
/// @}
//====================================================================================================
//===== MATH OPERATORS
//====================================================================================================
/// @{ -------------------------------------------------- OPERATOR +=
template<typename TValue_, int TDims_, typename TTransformation_>
void operator+=(const Image<TValue_, TDims_, TTransformation_>& other)
{
static_assert(TDims == TDims_ || TDims == -1 || TDims_ == -1, "dimension mismatch");
assert(size() == other.size() && "size mismatch");
#pragma omp parallel for
for (unsigned int i = 0; i < num_values(); ++i)
{ operator[](i) += other[i]; }
}
void operator+=(const value_type& x)
{
#pragma omp parallel for
for (unsigned int i = 0; i < num_values(); ++i)
{ operator[](i) += x; }
}
/// @}
/// @{ -------------------------------------------------- OPERATOR -=
template<typename TValue_, int TDims_, typename TTransformation_>
void operator-=(const Image<TValue_, TDims_, TTransformation_>& other)
{
static_assert(TDims == TDims_ || TDims == -1 || TDims_ == -1, "dimension mismatch");
assert(size() == other.size() && "size mismatch");
#pragma omp parallel for
for (unsigned int i = 0; i < num_values(); ++i)
{ operator[](i) -= other[i]; }
}
void operator-=(const value_type& x)
{
#pragma omp parallel for
for (unsigned int i = 0; i < num_values(); ++i)
{ operator[](i) -= x; }
}
/// @}
/// @{ -------------------------------------------------- OPERATOR *=
template<typename TValue_, int TDims_, typename TTransformation_>
void operator*=(const Image<TValue_, TDims_, TTransformation_>& other)
{
static_assert(TDims == TDims_ || TDims == -1 || TDims_ == -1, "dimension mismatch");
assert(size() == other.size() && "size mismatch");
#pragma omp parallel for
for (unsigned int i = 0; i < num_values(); ++i)
{ operator[](i) *= other[i]; }
}
void operator*=(const value_type& x)
{
#pragma omp parallel for
for (unsigned int i = 0; i < num_values(); ++i)
{ operator[](i) *= x; }
}
/// @}
/// @{ -------------------------------------------------- OPERATOR /=
template<typename TValue_, int TDims_, typename TTransformation_>
void operator/=(const Image<TValue_, TDims_, TTransformation_>& other)
{
static_assert(TDims == TDims_ || TDims == -1 || TDims_ == -1, "dimension mismatch");
assert(size() == other.size() && "size mismatch");
#pragma omp parallel for
for (unsigned int i = 0; i < num_values(); ++i)
{ operator[](i) /= other[i]; }
}
void operator/=(const value_type& x)
{
#pragma omp parallel for
for (unsigned int i = 0; i < num_values(); ++i)
{ operator[](i) /= x; }
}
/// @}
//====================================================================================================
//===== I/O
//====================================================================================================
#ifdef BK_LIB_PNG_AVAILABLE
/// @{ -------------------------------------------------- HELPERS: SAVE PNG
private:
template<typename TIndexAccessible>
[[maybe_unused]] bool _save_png(std::string_view filepath, int d, TIndexAccessible&& gid) const
{
if (filepath.empty())
{ return false; }
if constexpr (bk::is_matrix_v<value_type>)
{
static_assert(bk::is_dynamic_matrix_v<value_type> || bk::is_static_vector_of_size_v<value_type, 1> || bk::is_static_vector_of_size_v<value_type, 2> || bk::is_static_vector_of_size_v<value_type, 3> || bk::is_static_vector_of_size_v<value_type, 4>, "value_type must be 1-4d vector");
assert((bk::matrix_traits<value_type>(operator[](0)).is_vector_of_size(1) || bk::matrix_traits<value_type>(operator[](0)).is_vector_of_size(2) || bk::matrix_traits<value_type>(operator[](0)).is_vector_of_size(3) || bk::matrix_traits<value_type>(operator[](0)).is_vector_of_size(4)) && "value_type must be 1-4d vector");
}
if (d > 1)
{
for (unsigned int i = 0; i < size(d); ++i)
{
gid[d] = i;
if (!_save_png(filepath, d - 1, gid))
{ return false; }
} // for i
}
else
{
std::stringstream ss;
ss << filepath;
for (int k = num_dimensions() - 1; k > 1; --k)
{ ss << "_" << gid[k]; }
ss << ".png";
FILE* file = std::fopen(ss.str().c_str(), "wb");
if (!file)
{
std::fclose(file);
std::cerr << "save_png: png file creation error" << std::endl;
return false;
}
auto png_ptr = png_create_write_struct(PNG_LIBPNG_VER_STRING, nullptr, nullptr, nullptr);
if (!png_ptr)
{
std::fclose(file);
std::cerr << "save_png error at png_create_write_struct(PNG_LIBPNG_VER_STRING, nullptr, nullptr, nullptr)" << std::endl;
return false;
}
auto info_ptr = png_create_info_struct(png_ptr);
if (!info_ptr)
{
std::fclose(file);
std::cerr << "save_png error at png_create_info_struct(png_ptr);" << std::endl;
return false;
}
if (setjmp(png_jmpbuf(png_ptr)))
{
png_destroy_write_struct(&png_ptr, &info_ptr);
std::fclose(file);
std::cerr << "save_png error at setjmp(png_jmpbuf(png_ptr))" << std::endl;
return false;
}
png_init_io(png_ptr, file);
if (setjmp(png_jmpbuf(png_ptr)))
{
png_destroy_write_struct(&png_ptr, &info_ptr);
std::fclose(file);
std::cerr << "save_png error at setjmp(png_jmpbuf(png_ptr))" << std::endl;
return false;
}
png_uint_32 width = static_cast<png_uint_32>(size(0));
png_uint_32 height = static_cast<png_uint_32>(size(1));
const int bit_depth = 8;
unsigned int numel = 1;
if constexpr (bk::is_matrix_v<value_type>)
{ numel = operator[](0).num_elements(); }
const int color_type = numel == 1 ? PNG_COLOR_TYPE_GRAY : numel == 2 ? PNG_COLOR_TYPE_GA : numel == 3 ? PNG_COLOR_TYPE_RGB : PNG_COLOR_TYPE_RGBA;
png_set_IHDR(png_ptr, info_ptr, width, height, bit_depth, color_type, PNG_INTERLACE_NONE, PNG_COMPRESSION_TYPE_BASE, PNG_FILTER_TYPE_BASE);
png_write_info(png_ptr, info_ptr);
auto minval = allocate_value<double>();
auto maxval = allocate_value<double>();
if constexpr (bk::is_matrix_v<value_type>)
{
minval.set_constant(std::numeric_limits<double>::max());
maxval.set_constant(std::numeric_limits<double>::lowest());
}
else
{
minval = std::numeric_limits<value_type>::max();
maxval = std::numeric_limits<value_type>::lowest();
}
for (png_uint_32 y = 0; y < height; ++y)
{
gid[1] = y;
for (png_uint_32 x = 0; x < width; ++x)
{
gid[0] = x;
if constexpr (bk::is_matrix_v<value_type>)
{
minval.min_cwise_internal(operator()(gid));
maxval.max_cwise_internal(operator()(gid));
}
else
{
minval = std::min(minval, static_cast<decltype(minval)>(operator()(gid)));
maxval = std::max(maxval, static_cast<decltype(maxval)>(operator()(gid)));
}
} // for x
} // for y
png_bytepp buffer = new png_bytep[height];
auto range = allocate_value<double>();
if constexpr (bk::is_matrix_v<value_type>)
{
for (unsigned int k = 0; k < numel; ++k)
{ range[k] = maxval[k] - minval[k]; }
}
else
{ range = maxval - minval; }
for (png_uint_32 y = 0; y < height; ++y)
{
gid[1] = y;
buffer[y] = new png_byte[width * numel];
for (png_uint_32 x = 0; x < width; ++x)
{
gid[0] = x;
if constexpr (bk::is_matrix_v<value_type>)
{
const auto& val = operator()(gid);
for (png_uint_32 k = 0; k < numel; ++k)
{
if (minval[k] != maxval[k])
{ buffer[y][numel * x + k] = static_cast<png_byte>(255.0 * (val[k] - minval[k]) / range[k]); }
else
{ buffer[y][numel * x + k] = static_cast<png_byte>(255); }
} // for k
}
else
{
if (minval != maxval)
{ buffer[y][x] = static_cast<png_byte>(255.0 * (operator()(gid) - minval) / range); }
else
{ buffer[y][x] = static_cast<png_byte>(255); }
}
} // for x
} // for y
png_write_image(png_ptr, buffer);
auto clear_buffer = [&]()
{
for (png_uint_32 y = 0; y < height; ++y)
{ delete[] buffer[y]; }
delete[] buffer;
png_destroy_write_struct(&png_ptr, &info_ptr);
};
if (setjmp(png_jmpbuf(png_ptr)))
{
clear_buffer();
std::fclose(file);
std::cerr << "save_png error at setjmp(png_jmpbuf(png_ptr))" << std::endl;
return false;
}
png_write_end(png_ptr, nullptr);
clear_buffer();
std::fclose(file);
}
return true;
}
public:
/// @}
/// @{ -------------------------------------------------- SAVE PNG
[[maybe_unused]] bool save_png(std::string_view filepath) const
{
const std::string _filepath = bk::string_utils::ends_with(filepath, ".png", false) ? bk::string_utils::chop_back(filepath.data(), 4) : filepath.data();
return _save_png(_filepath, num_dimensions() - 1, MatrixFactory::create<int, NumDimensionsAtCompileTime(), 1>(num_dimensions(), 1));
}
/// @}
/// @{ -------------------------------------------------- LOAD PNG
[[maybe_unused]] bool load_png(std::string_view filepath)
{
if (filepath.empty())
{
std::cerr << "load_png: empty file path" << std::endl;
return false;
}
std::string _filepath = filepath.data();
if (!bk::string_utils::ends_with(_filepath, ".png"))
{ _filepath = bk::string_utils::append(_filepath, ".png"); }
FILE* file = std::fopen(_filepath.c_str(), "rb");
if (!file)
{
std::cerr << "load_png error: could not open file" << std::endl;
return false;
}
png_byte header[8] = {0, 0, 0, 0, 0, 0, 0, 0};
[[maybe_unused]] const size_t dummy = std::fread(header, 1, 8, file);
if (png_sig_cmp(header, 0, 8))
{
std::cerr << "load_png_gray(" << _filepath << ") " << "png_sig_cmp(&header, 0, 8)" << std::endl;
std::fclose(file);
return false;
}
png_structp png_ptr = png_create_read_struct(PNG_LIBPNG_VER_STRING, nullptr, nullptr, nullptr);
if (!png_ptr)
{
std::cerr << "load_png error at png_create_read_struct(PNG_LIBPNG_VER_STRING, nullptr, nullptr, nullptr)" << std::endl;
std::fclose(file);
return false;
}
png_infop info_ptr = png_create_info_struct(png_ptr);
if (!info_ptr)
{
std::cerr << "load_png error at png_create_info_struct(png_ptr)" << std::endl;
std::fclose(file);
return false;
}
if (setjmp(png_jmpbuf(png_ptr)))
{
std::cerr << "load_png error at setjmp(png_jmpbuf(png_ptr))" << std::endl;
png_destroy_read_struct(&png_ptr, &info_ptr, (png_infopp) NULL);
std::fclose(file);
return false;
}
png_init_io(png_ptr, file);
png_set_sig_bytes(png_ptr, 8);
png_read_info(png_ptr, info_ptr);
const png_uint_32 width = png_get_image_width(png_ptr, info_ptr);
const png_uint_32 height = png_get_image_height(png_ptr, info_ptr);
//const png_byte bit_depth = png_get_bit_depth(png_ptr, info_ptr); // unused
//const int number_of_passes = png_set_interlace_handling(png_ptr); // unused
png_read_update_info(png_ptr, info_ptr);
if (setjmp(png_jmpbuf(png_ptr)))
{
std::cerr << "load_png error at " << std::endl;
png_destroy_read_struct(&png_ptr, &info_ptr, (png_infopp) NULL);
std::fclose(file);
return false;
}
set_size(width, height);
png_bytepp png_data_raw = new png_bytep[height];
const png_size_t rowsize = png_get_rowbytes(png_ptr, info_ptr);
for (png_uint_32 y = 0; y < height; ++y)
{ png_data_raw[y] = new png_byte[rowsize]; }
png_read_image(png_ptr, png_data_raw);
const png_byte color_type = png_get_color_type(png_ptr, info_ptr);
const unsigned int stride = color_type == PNG_COLOR_TYPE_GRAY ? 1 : color_type == PNG_COLOR_TYPE_GA ? 2 : color_type == PNG_COLOR_TYPE_RGB ? 3 : 4;
for (png_uint_32 y = 0; y < height; ++y)
{
const png_bytep row = png_data_raw[y];
for (png_uint_32 x = 0; x < width; ++x)
{
const png_bytep val = &(row[x * stride]);
if constexpr (bk::is_matrix_v<value_type>)
{
const unsigned int N = operator[](0).num_elements();
if (color_type == PNG_COLOR_TYPE_GRAY || color_type == PNG_COLOR_TYPE_GA)
{
// assign gray to all channels
for (unsigned int i = 0; i < stride; ++i)
{
for (unsigned int k = 0; k < N; ++k)
{ operator()(x, y)[k] = val[i]; }
}
if (PNG_COLOR_TYPE_GRAY && (N == 2 || N == 4)) // image has alpha channel -> set opaque
{ operator()(x, y)[N - 1] = 255; }
}
else
{
for (unsigned int i = 0; i < std::min(N, stride); ++i) // if an rgb image is loaded from a png with rgba tag
{ operator()(x, y)[i] = val[i]; }
if (color_type == PNG_COLOR_TYPE_RGB && N == 4) // png is rgb but image has alpha channel -> set opaque
{ operator()(x, y)[3] = 255; }
}
}
else
{
if (color_type == PNG_COLOR_TYPE_GRAY || color_type == PNG_COLOR_TYPE_GRAY_ALPHA)
{
// alpha values are ignored for PNG_COLOR_TYPE_GRAY_ALPHA
operator()(x, y) = static_cast<value_type>(*val);
}
else if (color_type == PNG_COLOR_TYPE_RGB || color_type == PNG_COLOR_TYPE_RGBA)
{
// - perform RGB to gray conversion
// - potential alpha values are ignored for PNG_COLOR_TYPE_RGBA
const double r = 0.2126 * val[0];
const double g = 0.7152 * val[1];
const double b = 0.0722 * val[2];
operator()(x, y) = static_cast<value_type>(r + g + b);
}
}
} // for x
} // for y
png_destroy_read_struct(&png_ptr, &info_ptr, (png_infopp) NULL);
std::fclose(file);
for (png_uint_32 y = 0; y < height; ++y)
{ delete[] png_data_raw[y]; }
delete[] png_data_raw;
return true;
}
/// @}
#endif // BK_LIB_PNG_AVAILABLE
}; // class Image
//====================================================================================================
//===== TYPE DEFINITIONS
//====================================================================================================
template<typename TValue, int TDims> using CartesianImage = Image<TValue, TDims, NoTransformation<TDims>>;
template<typename TValue, int TDims> using RegularImage = Image<TValue, TDims, ScaleTransformation<TDims>>;
template<typename TValue, int TDims> using WorldImage = Image<TValue, TDims, WorldMatrixTransformation<TDims>>;
template<typename TValue, int TDims> using DicomImage = Image<TValue, TDims, DicomTransformation>;
//====================================================================================================
//===== OPERATORS
//====================================================================================================
/// @{ -------------------------------------------------- OPERATOR +
template<typename TValue0, typename TValue1, int TDims0, int TDims1, typename TTransformation>
[[nodiscard]] auto operator+(const Image<TValue0, TDims0, TTransformation>& a, const Image<TValue1, TDims1, TTransformation>& b)
{
using common_value_type = std::common_type_t<TValue0, TValue1>;
Image<common_value_type, std::max(TDims0, TDims1), TTransformation> res = a;
res += b;
return res;
}
template<typename TValue0, typename TValue1, int TDims0, int TDims1, typename TTransformation>
[[nodiscard]] auto operator+(Image<TValue0, TDims0, TTransformation>&& a, const Image<TValue1, TDims1, TTransformation>& b)
{
using common_value_type = std::common_type_t<TValue0, TValue1>;
if constexpr (std::is_same_v<TValue0, common_value_type>)
{
a += b;
return a;
}
else
{ return a + b; }
}
template<typename TValue0, typename TValue1, int TDims0, int TDims1, typename TTransformation>
[[nodiscard]] auto operator+(const Image<TValue0, TDims0, TTransformation>& a, Image<TValue1, TDims1, TTransformation>&& b)
{
using common_value_type = std::common_type_t<TValue0, TValue1>;
if constexpr (std::is_same_v<TValue1, common_value_type>)
{
b += a;
return b;
}
else
{ return a + b; }
}
template<typename TValue0, typename TValue1, int TDims0, int TDims1, typename TTransformation>
[[nodiscard]] auto operator+(Image<TValue0, TDims0, TTransformation>&& a, Image<TValue1, TDims1, TTransformation>&& b)
{
using common_value_type = std::common_type_t<TValue0, TValue1>;
if constexpr (std::is_same_v<TValue0, common_value_type>)
{ return std::move(a) + b; }
else if constexpr (std::is_same_v<TValue1, common_value_type>)
{ return std::move(b) + a; }
else
{ return a + b; }
}
template<typename TValue, int TDims, typename TTransformation, typename T>
[[nodiscard]] Image<TValue, TDims, TTransformation> operator+(const Image<TValue, TDims, TTransformation>& img, const T& x)
{
Image<TValue, TDims, TTransformation> res = img;
res += x;
return res;
}
template<typename TValue, int TDims, typename TTransformation, typename T>
[[nodiscard]] Image<TValue, TDims, TTransformation> operator+(Image<TValue, TDims, TTransformation>&& img, const T& x)
{
img += x;
return std::move(img);
}
template<typename TValue, int TDims, typename TTransformation, typename T>
[[nodiscard]] Image<TValue, TDims, TTransformation> operator+(const T& x, const Image<TValue, TDims, TTransformation>& img)
{ return img + x; }
template<typename TValue, int TDims, typename TTransformation, typename T>
[[nodiscard]] Image<TValue, TDims, TTransformation> operator+(const T& x, Image<TValue, TDims, TTransformation>&& img)
{ return std::move(img) + x; }
/// @}
/// @{ -------------------------------------------------- OPERATOR -
template<typename TValue0, typename TValue1, int TDims0, int TDims1, typename TTransformation>
[[nodiscard]] auto operator-(const Image<TValue0, TDims0, TTransformation>& a, const Image<TValue1, TDims1, TTransformation>& b)
{
using common_value_type = std::common_type_t<TValue0, TValue1>;
Image<common_value_type, std::max(TDims0, TDims1), TTransformation> res = a;
res -= b;
return res;
}
template<typename TValue0, typename TValue1, int TDims0, int TDims1, typename TTransformation>
[[nodiscard]] auto operator-(Image<TValue0, TDims0, TTransformation>&& a, const Image<TValue1, TDims1, TTransformation>& b)
{
using common_value_type = std::common_type_t<TValue0, TValue1>;
if constexpr (std::is_same_v<TValue0, common_value_type>)
{
a -= b;
return a;
}
else
{ return a - b; }
}
template<typename TValue, int TDims, typename TTransformation, typename T>
[[nodiscard]] Image<TValue, TDims, TTransformation> operator-(const Image<TValue, TDims, TTransformation>& img, const T& x)
{
Image<TValue, TDims, TTransformation> res = img;
res -= x;
return res;
}
template<typename TValue, int TDims, typename TTransformation, typename T>
[[nodiscard]] Image<TValue, TDims, TTransformation> operator-(Image<TValue, TDims, TTransformation>&& img, const T& x)
{
img -= x;
return std::move(img);
}
/// @}
/// @{ -------------------------------------------------- OPERATOR *
template<typename TValue0, typename TValue1, int TDims0, int TDims1, typename TTransformation>
[[nodiscard]] auto operator*(const Image<TValue0, TDims0, TTransformation>& a, const Image<TValue1, TDims1, TTransformation>& b)
{
using common_value_type = std::common_type_t<TValue0, TValue1>;
Image<common_value_type, std::max(TDims0, TDims1), TTransformation> res = a;
res *= b;
return res;
}
template<typename TValue0, typename TValue1, int TDims0, int TDims1, typename TTransformation>
[[nodiscard]] auto operator*(Image<TValue0, TDims0, TTransformation>&& a, const Image<TValue1, TDims1, TTransformation>& b)
{
using common_value_type = std::common_type_t<TValue0, TValue1>;
if constexpr (std::is_same_v<TValue0, common_value_type>)
{
a *= b;
return a;
}
else
{ return a * b; }
}
template<typename TValue0, typename TValue1, int TDims0, int TDims1, typename TTransformation>
[[nodiscard]] auto operator*(const Image<TValue0, TDims0, TTransformation>& a, Image<TValue1, TDims1, TTransformation>&& b)
{
using common_value_type = std::common_type_t<TValue0, TValue1>;
if constexpr (std::is_same_v<TValue1, common_value_type>)
{
b *= a;
return b;
}
else
{ return a * b; }
}
template<typename TValue0, typename TValue1, int TDims0, int TDims1, typename TTransformation>
[[nodiscard]] auto operator*(Image<TValue0, TDims0, TTransformation>&& a, Image<TValue1, TDims1, TTransformation>&& b)
{
using common_value_type = std::common_type_t<TValue0, TValue1>;
if constexpr (std::is_same_v<TValue0, common_value_type>)
{ return std::move(a) * b; }
else if constexpr (std::is_same_v<TValue1, common_value_type>)
{ return std::move(b) * a; }
else
{ return a * b; }
}
template<typename TValue, int TDims, typename TTransformation, typename T>
[[nodiscard]] Image<TValue, TDims, TTransformation> operator*(const Image<TValue, TDims, TTransformation>& img, const T& x)
{
Image<TValue, TDims, TTransformation> res = img;
res *= x;
return res;
}
template<typename TValue, int TDims, typename TTransformation, typename T>
[[nodiscard]] Image<TValue, TDims, TTransformation> operator*(Image<TValue, TDims, TTransformation>&& img, const T& x)
{
img *= x;
return std::move(img);
}
template<typename TValue, int TDims, typename TTransformation, typename T>
[[nodiscard]] Image<TValue, TDims, TTransformation> operator*(const T& x, const Image<TValue, TDims, TTransformation>& img)
{ return img * x; }
template<typename TValue, int TDims, typename TTransformation, typename T>
[[nodiscard]] Image<TValue, TDims, TTransformation> operator*(const T& x, Image<TValue, TDims, TTransformation>&& img)
{ return std::move(img) * x; }
/// @}
/// @{ -------------------------------------------------- OPERATOR /
template<typename TValue0, typename TValue1, int TDims0, int TDims1, typename TTransformation>
[[nodiscard]] auto operator/(const Image<TValue0, TDims0, TTransformation>& a, const Image<TValue1, TDims1, TTransformation>& b)
{
using common_value_type = std::common_type_t<TValue0, TValue1>;
Image<common_value_type, std::max(TDims0, TDims1), TTransformation> res = a;
res /= b;
return res;
}
template<typename TValue0, typename TValue1, int TDims0, int TDims1, typename TTransformation>
[[nodiscard]] auto operator/(Image<TValue0, TDims0, TTransformation>&& a, const Image<TValue1, TDims1, TTransformation>& b)
{
using common_value_type = std::common_type_t<TValue0, TValue1>;
if constexpr (std::is_same_v<TValue0, common_value_type>)
{
a /= b;
return a;
}
else
{ return a / b; }
}
template<typename TValue, int TDims, typename TTransformation, typename T>
[[nodiscard]] Image<TValue, TDims, TTransformation> operator/(const Image<TValue, TDims, TTransformation>& img, const T& x)
{
Image<TValue, TDims, TTransformation> res = img;
res /= x;
return res;
}
template<typename TValue, int TDims, typename TTransformation, typename T>
[[nodiscard]] Image<TValue, TDims, TTransformation> operator/(Image<TValue, TDims, TTransformation>&& img, const T& x)
{
img /= x;
return std::move(img);
}
/// @}
} // namespace bk
#endif // BK_IMAGE_H |
make_general_basis.h | #ifndef _MAKE_GENERAL_BASIS_H
#define _MAKE_GENERAL_BASIS_H
#include <iostream>
#include "general_basis_core.h"
#include "numpy/ndarraytypes.h"
#include "openmp.h"
#include "misc.h"
#include <cmath>
#include <cfloat>
#include <vector>
#include <utility>
#include <algorithm>
#include <functional>
namespace basis_general {
template<class I,class J>
npy_intp make_basis_sequential(general_basis_core<I> *B,npy_intp MAX,npy_intp mem_MAX,I basis[],J n[]){
npy_intp Ns = 0;
I s = 0;
bool insuff_mem = false;
while(MAX != 0){
if(Ns>=mem_MAX){
insuff_mem = true;
break;
}
double norm = B->check_state(s);
npy_intp int_norm = norm;
if(!check_nan(norm) && int_norm>0 ){
basis[Ns] = s;
n[Ns] = norm;
Ns++;
}
s++;
MAX--;
}
if(insuff_mem){
return -1;
}
else{
return Ns;
}
}
template<class I,class J>
npy_intp make_basis_pcon_sequential(general_basis_core<I> *B,npy_intp MAX,npy_intp mem_MAX,I s,I basis[],J n[]){
npy_intp Ns = 0;
bool insuff_mem = false;
while(MAX!=0){
if(Ns>=mem_MAX){
insuff_mem = true;
break;
}
double norm = B->check_state(s);
npy_intp int_norm = norm;
if(!check_nan(norm) && int_norm>0 ){
basis[Ns] = s;
n[Ns] = norm;
Ns++;
}
s = B->next_state_pcon(s);
MAX--;
}
if(insuff_mem){
return -1;
}
else{
return Ns;
}
}
template<class I, class J>
struct compare_pair : std::binary_function<std::pair<I,J>,std::pair<I,J>,bool>
{
bool operator()(std::pair<I,J> a, std::pair<I,J> b){return a.first < b.first;}
};
template<class I,class J>
npy_intp make_basis_parallel(general_basis_core<I> *B,const npy_intp MAX,const npy_intp mem_MAX,I basis[],J n[]){
npy_intp Ns = 0;
bool insuff_mem = false;
std::vector<std::pair<I,J> > master_block(mem_MAX);
std::vector<npy_intp> master_pos(omp_get_max_threads()+1);
std::pair<I,J> * master_block_data = &master_block[0];
npy_intp * master_pos_data = &master_pos[0];
#pragma omp parallel firstprivate(MAX) shared(master_block_data,master_pos_data,Ns,insuff_mem)
{
const int nthread = omp_get_num_threads();
const int threadn = omp_get_thread_num();
std::vector<std::pair<I,J> > thread_block(0);
const npy_intp block_size = 1.1*mem_MAX/nthread;
thread_block.reserve(block_size);
npy_intp chunk = MAX - threadn;
I s = threadn;
while(chunk>0 && !insuff_mem){
double norm = B->check_state(s);
npy_intp int_norm = norm;
if(!check_nan(norm) && int_norm>0 ){
thread_block.push_back(std::make_pair(s,int_norm));
#pragma omp atomic
Ns++;
}
s += nthread;
chunk-=nthread;
if(Ns>=mem_MAX){
#pragma omp critical
insuff_mem=true;
}
}
if(!insuff_mem){
master_pos_data[threadn+1] = thread_block.size(); // get sizes for each thread block into shared memory
#pragma omp barrier // wait for all threads to finish searching.
#pragma omp single // calculate the cumulative sum to get data paritions of master_block
{
for(int i=0;i<nthread;i++){
master_pos_data[i+1] += master_pos_data[i];
}
}
// load data into master block in parallel
const npy_intp start = master_pos_data[threadn];
const npy_intp end = master_pos_data[threadn+1];
npy_intp i = 0;
for(npy_intp j=start;j<end;j++){
master_block_data[j] = thread_block[i++];
}
#pragma omp barrier
#pragma omp single
{
std::sort(master_block_data, master_block_data + Ns, compare_pair<I,J>());
}
#pragma omp for schedule(static)
for(npy_intp i=0;i<Ns;i++){
basis[i] = master_block_data[i].first;
n[i] = master_block_data[i].second;
}
}
}
if(insuff_mem){
return -1;
}
else{
// master_block.resize(Ns);
// std::sort(master_block.begin(),master_block.end(), compare_pair<I,J>());
// for(npy_intp i=0;i<Ns;i++){
// basis[i] = master_block[i].first;
// n[i] = master_block[i].second;
// }
return Ns;
}
}
template<class I,class J>
npy_intp make_basis_pcon_parallel(general_basis_core<I> *B,const npy_intp MAX,const npy_intp mem_MAX,I s,I basis[],J n[]){
npy_intp Ns = 0;
bool insuff_mem = false;
std::vector<std::pair<I,J> > master_block(mem_MAX);
std::vector<npy_intp> master_pos(omp_get_max_threads()+1);
std::pair<I,J> * master_block_data = &master_block[0];
npy_intp * master_pos_data = &master_pos[0];
#pragma omp parallel firstprivate(MAX,s) shared(master_block_data,master_pos_data,Ns,insuff_mem)
{
const int nthread = omp_get_num_threads();
const int threadn = omp_get_thread_num();
std::vector<std::pair<I,J> > thread_block(0); // local array to store values found by each thread. this reduces the number of critical sections.
const npy_intp block_size = 1.1*mem_MAX/nthread;
thread_block.reserve(block_size); // preallocate memory for each block so that it does not have to expand during search.
npy_intp chunk = MAX - threadn;
for(int i=0;i<threadn;i++){s=B->next_state_pcon(s);}
while(chunk>0 && !insuff_mem){
double norm = B->check_state(s);
npy_intp int_norm = norm;
if(!check_nan(norm) && int_norm>0 ){
thread_block.push_back(std::make_pair(s,int_norm));
#pragma omp atomic
Ns++;
}
for(int i=0;i<nthread;i++){s=B->next_state_pcon(s);}
chunk-=nthread;
if(Ns>=mem_MAX){
#pragma omp critical
insuff_mem=true;
}
}
if(!insuff_mem){
master_pos_data[threadn+1] = thread_block.size();
#pragma omp barrier
#pragma omp single
{
for(int i=0;i<nthread;i++){
master_pos_data[i+1] += master_pos_data[i];
}
}
const npy_intp start = master_pos_data[threadn];
const npy_intp end = master_pos_data[threadn+1];
npy_intp i = 0;
for(npy_intp j=start;j<end;j++){
master_block_data[j] = thread_block[i++];
}
#pragma omp barrier
#pragma omp single
{
std::sort(master_block_data, master_block_data + Ns, compare_pair<I,J>());
}
#pragma omp for schedule(static)
for(npy_intp i=0;i<Ns;i++){
basis[i] = master_block_data[i].first;
n[i] = master_block_data[i].second;
}
}
}
if(insuff_mem){
return -1;
}
else{
// sort list based on basis and then fill ndarray values with the sorted list.
// master_block.resize(Ns);
// std::sort(master_block.begin(),master_block.end(), compare_pair<I,J>());
// for(npy_intp i=0;i<Ns;i++){
// basis[i] = master_block[i].first;
// n[i] = master_block[i].second;
// }
return Ns;
}
}
template<class I,class J>
npy_intp make_basis(general_basis_core<I> *B,npy_intp MAX,npy_intp mem_MAX,I basis[],J n[]){
const int nt = B->get_nt();
const int nthreads = omp_get_max_threads();
if(nthreads>1 && MAX > nthreads && nt>0){
return make_basis_parallel(B,MAX,mem_MAX,basis,n);
}
else{
return make_basis_sequential(B,MAX,mem_MAX,basis,n);
}
}
template<class I,class J>
npy_intp make_basis_pcon(general_basis_core<I> *B,npy_intp MAX,npy_intp mem_MAX,I s,I basis[],J n[]){
const int nt = B->get_nt();
const int nthreads = omp_get_max_threads();
if(nthreads>1 && MAX > nthreads && nt>0){
return make_basis_pcon_parallel(B,MAX,mem_MAX,s,basis,n);
}
else{
return make_basis_pcon_sequential(B,MAX,mem_MAX,s,basis,n);
}
}
template<class I,class J>
npy_intp inline make_basis_wrapper(void *B,npy_intp MAX,npy_intp mem_MAX,void * basis,J n[]){
return make_basis(reinterpret_cast<general_basis_core<I> *>(B),MAX,mem_MAX,(I*)basis,n);
}
template<class I,class J>
npy_intp inline make_basis_pcon_wrapper(void *B,npy_intp MAX,npy_intp mem_MAX,npy_uint64 s,void * basis,J n[]){
return make_basis_pcon(reinterpret_cast<general_basis_core<I> *>(B),MAX,mem_MAX,(I)s,(I*)basis,n);
}
}
#endif
|
bistack.c | // -*-Mode: C++;-*- // technically C99
// * BeginRiceCopyright *****************************************************
//
// $HeadURL$
// $Id$
//
// --------------------------------------------------------------------------
// Part of HPCToolkit (hpctoolkit.org)
//
// Information about sources of support for research and development of
// HPCToolkit is at 'hpctoolkit.org' and in 'README.Acknowledgments'.
// --------------------------------------------------------------------------
//
// Copyright ((c)) 2002-2020, Rice University
// 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 Rice University (RICE) 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 RICE 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 RICE 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.
//
// ******************************************************* EndRiceCopyright *
//*****************************************************************************
// local includes
//*****************************************************************************
#include "bistack.h"
//*****************************************************************************
// macros
//*****************************************************************************
#define Ap(s) &s.aptr
//*****************************************************************************
// interface functions
//*****************************************************************************
void
bistack_init
(
bistack_t *s
)
{
atomic_init(Ap(s->produced), 0);
atomic_init(Ap(s->to_consume), 0);
}
void
bistack_push
(
bistack_t *s,
s_element_t *e
)
{
cstack_push(&s->produced, e);
}
s_element_t *
bistack_pop
(
bistack_t *s
)
{
// use sstack protocol for private consumer stack
s_element_t *e = sstack_pop(&s->to_consume);
return e;
}
void
bistack_reverse
(
bistack_t *s
)
{
sstack_reverse(&s->to_consume);
}
void
bistack_steal
(
bistack_t *s
)
{
if (atomic_load_explicit(Ap(s->produced), memory_order_relaxed) != NULL) {
s_element_t *tmp = cstack_steal(&s->produced);
atomic_store_explicit(Ap(s->to_consume), tmp, memory_order_relaxed);
}
}
//*****************************************************************************
// unit test
//*****************************************************************************
#define UNIT_TEST 0
#if UNIT_TEST
#include <stdlib.h>
#include <stdio.h>
#include <omp.h>
#include <unistd.h>
typedef struct {
s_element_ptr_t next;
int value;
} typed_stack_elem(int); //int_q_element_t
typedef s_element_ptr_t typed_stack_elem_ptr(int); //int_q_elem_ptr_t
typedef bistack_t typed_bistack(int);
//typed_queue_elem_ptr(int) queue;
typed_bistack(int) pair;
typed_bistack_impl(int)
typed_stack_elem(int) *
typed_stack_elem_fn(int,new)(int value)
{
typed_stack_elem(int) *e =
(typed_stack_elem(int)* ) malloc(sizeof(int_s_element_t));
e->value = value;
cstack_ptr_set(&e->next, 0);
}
void
pop
(
int n
)
{
int i;
for(i = 0; i < n; i++) {
typed_stack_elem(int) *e = typed_bistack_pop(int)(&pair);
if (e == 0) {
printf("%d queue empty\n", omp_get_thread_num());
break;
} else {
printf("%d popping %d\n", omp_get_thread_num(), e->value);
}
}
}
void
push
(
int min,
int n
)
{
int i;
for(i = min; i < min + n; i++) {
printf("%d pushing %d\n", omp_get_thread_num(), i);
typed_bistack_push(int)(&pair, typed_stack_elem_fn(int, new)(i));
}
}
void
steal
(
)
{
typed_bistack_steal(int)(&pair);
}
#ifdef DUMP_UNORDERED_STACK
void
dump
(
int_s_element_t *e
)
{
int i;
for(; e;
e = (int_s_element_t *) typed_stack_elem_ptr_get(int,cstack)(&e->next)) {
printf("%d stole %d\n", omp_get_thread_num(), e->value);
}
}
#endif
int
main
(
int argc,
char **argv
)
{
bistack_init(&pair);
#pragma omp parallel num_threads(6)
{
if (omp_get_thread_num() != 5 ) push(0, 30);
if (omp_get_thread_num() == 5 ) {
sleep(3);
steal();
pop(10);
}
if (omp_get_thread_num() != 5 ) push(100, 12);
// pop(100);
// int_bis_element_t *e = typed_bistack_steal(int, qtype)(&queue);
//dump(e);
if (omp_get_thread_num() != 5 ) push(300, 30);
//typed_queue_
if (omp_get_thread_num() == 5 ) {
sleep(1);
steal();
pop(100);
}
}
}
#endif
|
SybaseASE_fmt_plug.c | /*
* Unicode conversion enhancements by magnum, 2011. Licensed as below.
*
* Sybase ASE hash support for version 15.0.2 and above, based on hmailserver
* patch by James Nobis.
* Hash format description : http://marcellmajor.com/sybase_sha256.html
* Hacked together by Dhiru Kholia in February, 2011.
*
* This patch Copyright (C) 2010 by James Nobis - quel
* quel NOSPAM quelrod NOSPAM net, and it is herby released to the general
* public under the follow terms:
* Redistribution and use in source and binary forms, with or without
* modification, are permitted.
*
* THIS SOFTWARE IS PROVIDED BY THE AUTHOR AND CONTRIBUTORS ``AS IS'' AND
* ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
* ARE DISCLAIMED. IN NO EVENT SHALL THE AUTHOR OR CONTRIBUTORS BE LIABLE
* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS
* OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)
* HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY
* OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF
* SUCH DAMAGE.
* Inspiration from the generic sha-1 and md5 (Copyright (c) 2010 by Solar Designer)
*/
#if FMT_EXTERNS_H
extern struct fmt_main fmt_SybaseASE;
#elif FMT_REGISTERS_H
john_register_one(&fmt_SybaseASE);
#else
#include "arch.h"
//#undef _OPENMP
//#undef SIMD_COEF_32
//#undef SIMD_PARA_SHA256
//
//#define FORCE_GENERIC_SHA2 2
#include "sha2.h"
#include "params.h"
#include "common.h"
#include "formats.h"
#include "options.h"
#include "unicode.h"
#include "johnswap.h"
#include "simd-intrinsics.h"
#ifdef _OPENMP
#include <omp.h>
#endif
#include "memdbg.h"
#define FORMAT_LABEL "SybaseASE"
#define FORMAT_NAME "Sybase ASE"
#define FORMAT_TAG "0xc007"
#define FORMAT_TAG_LEN (sizeof(FORMAT_TAG)-1)
#define ALGORITHM_NAME "SHA256 " SHA256_ALGORITHM_NAME
#define BENCHMARK_COMMENT ""
#define BENCHMARK_LENGTH 0
#define PLAINTEXT_LENGTH 64
#define CIPHERTEXT_LENGTH (6 + 16 + 64)
#define BINARY_SIZE 32
#define BINARY_ALIGN 4
#define SALT_SIZE 8
#define SALT_ALIGN 4
#ifdef SIMD_COEF_32
#define MIN_KEYS_PER_CRYPT (SIMD_COEF_32*SIMD_PARA_SHA256)
#define MAX_KEYS_PER_CRYPT (SIMD_COEF_32*SIMD_PARA_SHA256)
#ifdef __MIC__
#ifndef OMP_SCALE
#define OMP_SCALE 64
#endif
#else
#ifndef OMP_SCALE
#define OMP_SCALE 512
#endif
#endif // __MIC__
#else
#define MIN_KEYS_PER_CRYPT 1
#define MAX_KEYS_PER_CRYPT 1
#ifndef OMP_SCALE
#define OMP_SCALE 256
#endif
#endif
static struct fmt_tests SybaseASE_tests[] = {
{"0xc0074f9cc8c0d55d9803b0c0816e127f2a56ee080230af5b4ce3da1f3d9fcc5449fcfcf3fb9595eb8ea6", "test12"},
{"0xc0074BE393C06BE420AD541671aa5e6f1a19a4a73bb51c59f45790f0887cfb70e0599747c6844d4556b3", "a"},
{NULL}
};
#ifdef SIMD_COEF_32
// note, elements 3-7 are 'nulls', and are not in this array.
static UTF16 (*prep_key)[4][MAX_KEYS_PER_CRYPT][64 / sizeof(UTF16)];
static unsigned char *NULL_LIMB;
static int (*last_len);
static ARCH_WORD_32 (*crypt_cache)[BINARY_SIZE/4];
#else
static UTF16 (*prep_key)[518 / sizeof(UTF16)];
static SHA256_CTX (*prep_ctx);
#endif
static ARCH_WORD_32 (*crypt_out)[BINARY_SIZE/4];
static int kpc, dirty;
extern struct fmt_main fmt_SybaseASE;
static void init(struct fmt_main *self)
{
#if _OPENMP || SIMD_COEF_32
int i;
#endif
#ifdef _OPENMP
i = omp_get_max_threads();
self->params.min_keys_per_crypt *= i;
i *= OMP_SCALE;
self->params.max_keys_per_crypt *= i;
#endif
kpc = self->params.max_keys_per_crypt;
prep_key = mem_calloc_align(sizeof(*prep_key),
self->params.max_keys_per_crypt, MEM_ALIGN_CACHE);
crypt_out = mem_calloc_align(sizeof(*crypt_out),
self->params.max_keys_per_crypt, MEM_ALIGN_CACHE);
if (options.target_enc == UTF_8)
fmt_SybaseASE.params.plaintext_length = 125;
// will simply set SIMD stuff here, even if not 'used'
#ifdef SIMD_COEF_32
NULL_LIMB = mem_calloc_align(64, MAX_KEYS_PER_CRYPT, MEM_ALIGN_CACHE);
last_len = mem_calloc_align(sizeof(*last_len), self->params.max_keys_per_crypt, MEM_ALIGN_WORD);
for (i = 0; i < kpc/MAX_KEYS_PER_CRYPT; ++i) {
int j;
for (j = 0; j < MAX_KEYS_PER_CRYPT; ++j) {
prep_key[i][3][j][3] = 0x80;
prep_key[i][3][j][30] = 518<<3;
}
}
crypt_cache = mem_calloc_align(sizeof(*crypt_cache),
self->params.max_keys_per_crypt, MEM_ALIGN_CACHE);
#else
prep_ctx = mem_calloc(sizeof(*prep_key),
self->params.max_keys_per_crypt);
#endif
}
static void done(void)
{
#ifdef SIMD_COEF_32
MEM_FREE(last_len);
MEM_FREE(NULL_LIMB);
MEM_FREE(crypt_cache);
#else
MEM_FREE(prep_ctx);
#endif
MEM_FREE(crypt_out);
MEM_FREE(prep_key);
}
static int valid(char *ciphertext, struct fmt_main *self)
{
int extra;
if(strncmp(ciphertext, FORMAT_TAG, FORMAT_TAG_LEN)!=0)
return 0;
if(hexlen(&ciphertext[FORMAT_TAG_LEN], &extra) != CIPHERTEXT_LENGTH - FORMAT_TAG_LEN || extra)
return 0;
return 1;
}
static char *split(char *ciphertext, int index, struct fmt_main *self)
{
static char out[CIPHERTEXT_LENGTH+1];
strnzcpy(out, ciphertext, CIPHERTEXT_LENGTH+1);
strlwr(out);
return out;
}
static void *get_binary(char *ciphertext)
{
static unsigned char *out;
int i;
char *p = ciphertext + FORMAT_TAG_LEN + SALT_SIZE * 2;
if (!out) out = mem_alloc_tiny(BINARY_SIZE, MEM_ALIGN_WORD);
for (i = 0; i < BINARY_SIZE; i++) {
out[i] = (atoi16[ARCH_INDEX(*p)] << 4) | atoi16[ARCH_INDEX(p[1])];
p += 2;
}
return out;
}
static void *get_salt(char *ciphertext)
{
static union {
unsigned char u8[SALT_SIZE];
ARCH_WORD_32 u32;
} out;
int i;
char *p = ciphertext + FORMAT_TAG_LEN;
for (i = 0; i < sizeof(out.u8); i++) {
out.u8[i] = (atoi16[ARCH_INDEX(*p)] << 4) |atoi16[ARCH_INDEX(p[1])];
p += 2;
}
return out.u8;
}
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)
{
int index;
for(index = 0; index < kpc; index++)
{
/* append salt at offset 510 */
#ifdef SIMD_COEF_32
int idx1=index/MAX_KEYS_PER_CRYPT, idx2=index%MAX_KEYS_PER_CRYPT;
memcpy(&prep_key[idx1][2][idx2][31], salt, 2);
memcpy(prep_key[idx1][3][idx2], &((unsigned char*)salt)[2], 6);
#else
memcpy((unsigned char*)prep_key[index] + 510,
(unsigned char*)salt, 8);
#endif
}
}
static void set_key(char *key, int index)
{
#ifdef SIMD_COEF_32
UTF16 tmp[PLAINTEXT_LENGTH+1];
int len2, len = enc_to_utf16_be(tmp, PLAINTEXT_LENGTH, (UTF8*)key, strlen(key));
int idx1=index/MAX_KEYS_PER_CRYPT, idx2=index%MAX_KEYS_PER_CRYPT;
if (len < 0)
len = strlen16(tmp);
if (len > 32)
memcpy(prep_key[idx1][1][idx2], &tmp[32], (len-32)<<1);
len2 = len;
if (len2 > 32) len2 = 32;
memcpy(prep_key[idx1][0][idx2], tmp, len2<<1);
len2 = len;
while (len < last_len[index]) {
if (len < 32)
prep_key[idx1][0][idx2][len] = 0;
else
prep_key[idx1][1][idx2][len-32] = 0;
++len;
}
last_len[index] = len2;
#else
/* Clean slate */
memset(prep_key[index], 0, 2 * PLAINTEXT_LENGTH);
/* convert key to UTF-16BE, --encoding aware */
enc_to_utf16_be(prep_key[index], PLAINTEXT_LENGTH, (UTF8*)key,
strlen(key));
#endif
dirty = 1;
}
static char *get_key(int index)
{
UTF16 key_le[PLAINTEXT_LENGTH + 1];
#ifdef SIMD_COEF_32
int j, idx1=index/MAX_KEYS_PER_CRYPT, idx2=index%MAX_KEYS_PER_CRYPT;
if (last_len[index] < 32) {
for (j = 0; j < last_len[index]; ++j)
key_le[j] = JOHNSWAP(prep_key[idx1][0][idx2][j])>>16;
} else {
for (j = 0; j < 32; ++j)
key_le[j] = JOHNSWAP(prep_key[idx1][0][idx2][j])>>16;
for (; j < last_len[index]; ++j)
key_le[j] = JOHNSWAP(prep_key[idx1][1][idx2][j-32])>>16;
}
key_le[j] = 0;
#else
UTF16 *d = key_le;
UTF16 *s = prep_key[index];
// Byte-swap back to UTF-16LE
while ((*d++ = *s >> 8 | *s << 8))
s++;
#endif
return (char*)utf16_to_enc(key_le);
}
static int crypt_all(int *pcount, struct db_salt *salt)
{
int count = *pcount;
int index = 0;
#ifdef _OPENMP
#ifndef SIMD_COEF_32
#pragma omp parallel for default(none) private(index) shared(dirty, prep_ctx, count, crypt_out, prep_key)
#else
#pragma omp parallel for default(none) private(index) shared(dirty, count, crypt_cache, crypt_out, prep_key, NULL_LIMB)
#endif
#endif
for(index = 0; index < count; index += MAX_KEYS_PER_CRYPT)
{
#ifndef SIMD_COEF_32
SHA256_CTX ctx;
if (dirty) {
SHA256_Init(&prep_ctx[index]);
SHA256_Update(&prep_ctx[index], prep_key[index], 510);
}
memcpy(&ctx, &prep_ctx[index], sizeof(ctx));
SHA256_Update(&ctx, prep_key[index] + 510/2, 8);
SHA256_Final((unsigned char *)crypt_out[index], &ctx);
#else
unsigned char _OBuf[32*MAX_KEYS_PER_CRYPT+MEM_ALIGN_CACHE], *crypt;
uint32_t *crypt32;
crypt = (unsigned char*)mem_align(_OBuf, MEM_ALIGN_CACHE);
crypt32 = (uint32_t*)crypt;
if (dirty) {
SIMDSHA256body(prep_key[index/MAX_KEYS_PER_CRYPT], crypt_cache[index], NULL, SSEi_FLAT_IN|SSEi_FLAT_RELOAD_SWAPLAST);
SIMDSHA256body(&(prep_key[index/MAX_KEYS_PER_CRYPT][1]), crypt_cache[index], crypt_cache[index], SSEi_FLAT_IN|SSEi_RELOAD|SSEi_FLAT_RELOAD_SWAPLAST);
SIMDSHA256body(NULL_LIMB, crypt_cache[index], crypt_cache[index], SSEi_FLAT_IN|SSEi_RELOAD);
SIMDSHA256body(NULL_LIMB, crypt_cache[index], crypt_cache[index], SSEi_FLAT_IN|SSEi_RELOAD);
SIMDSHA256body(NULL_LIMB, crypt_cache[index], crypt_cache[index], SSEi_FLAT_IN|SSEi_RELOAD);
SIMDSHA256body(NULL_LIMB, crypt_cache[index], crypt_cache[index], SSEi_FLAT_IN|SSEi_RELOAD);
SIMDSHA256body(NULL_LIMB, crypt_cache[index], crypt_cache[index], SSEi_FLAT_IN|SSEi_RELOAD);
}
memcpy(crypt32, crypt_cache[index], 32*MAX_KEYS_PER_CRYPT);
SIMDSHA256body(&(prep_key[index/MAX_KEYS_PER_CRYPT][2]), crypt32, crypt32, SSEi_FLAT_IN|SSEi_RELOAD|SSEi_FLAT_RELOAD_SWAPLAST);
// Last one with FLAT_OUT
SIMDSHA256body(&(prep_key[index/MAX_KEYS_PER_CRYPT][3]), crypt_out[index], crypt32, SSEi_FLAT_IN|SSEi_RELOAD|SSEi_FLAT_OUT);
#endif
}
dirty = 0;
return count;
}
static int cmp_all(void *binary, int count)
{
int index = 0;
for (index = 0; index < count; index++)
if (*(ARCH_WORD_32 *)binary == *(ARCH_WORD_32 *)crypt_out[index])
return 1;
return 0;
}
static int cmp_one(void *binary, int index)
{
return !memcmp((char *)binary, (const char*)crypt_out[index], BINARY_SIZE);
}
static int cmp_exact(char *source, int index)
{
return 1;
}
static int salt_hash(void *salt)
{
return *(ARCH_WORD_32*)salt & (SALT_HASH_SIZE - 1);
}
struct fmt_main fmt_SybaseASE = {
{
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_UNICODE | FMT_UTF8 | FMT_SPLIT_UNIFIES_CASE,
{ NULL },
{ FORMAT_TAG },
SybaseASE_tests
}, {
init,
done,
fmt_default_reset,
fmt_default_prepare,
valid,
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
},
salt_hash,
NULL,
set_salt,
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 */
|
copyin-1.c | // { dg-do compile }
// { dg-require-effective-target tls }
int i, j;
#pragma omp threadprivate (i)
void bar(void);
void foo(void)
{
int k;
extern int l;
extern int m;
#pragma omp threadprivate (m)
#pragma omp parallel copyin(i)
bar();
#pragma omp parallel copyin(j) // { dg-error "threadprivate" }
bar();
#pragma omp parallel copyin(k) // { dg-error "threadprivate" }
bar();
#pragma omp parallel copyin(l) // { dg-error "threadprivate" }
bar();
#pragma omp parallel copyin(m)
bar();
}
|
GB_binop__pow_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__pow_uint8)
// A.*B function (eWiseMult): GB (_AemultB_01__pow_uint8)
// A.*B function (eWiseMult): GB (_AemultB_02__pow_uint8)
// A.*B function (eWiseMult): GB (_AemultB_03__pow_uint8)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__pow_uint8)
// A*D function (colscale): GB ((none))
// D*A function (rowscale): GB ((none))
// C+=B function (dense accum): GB (_Cdense_accumB__pow_uint8)
// C+=b function (dense accum): GB (_Cdense_accumb__pow_uint8)
// C+=A+B function (dense ewise3): GB ((none))
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__pow_uint8)
// C=scalar+B GB (_bind1st__pow_uint8)
// C=scalar+B' GB (_bind1st_tran__pow_uint8)
// C=A+scalar GB (_bind2nd__pow_uint8)
// C=A'+scalar GB (_bind2nd_tran__pow_uint8)
// C type: uint8_t
// A type: uint8_t
// B,b type: uint8_t
// BinaryOp: cij = GB_pow_uint8 (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)
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB,B_iso) \
uint8_t bij = GBX (Bx, pB, B_iso)
// 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 = GB_pow_uint8 (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_POW || GxB_NO_UINT8 || GxB_NO_POW_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__pow_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__pow_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__pow_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
//------------------------------------------------------------------------------
#if 0
GrB_Info GB ((none))
(
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_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, 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_template.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
//------------------------------------------------------------------------------
// eWiseAdd: C = A+B or C<M> = A+B
//------------------------------------------------------------------------------
GrB_Info GB (_AaddB__pow_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__pow_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__pow_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__pow_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__pow_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__pow_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] = GB_pow_uint8 (x, bij) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB (_bind2nd__pow_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] = GB_pow_uint8 (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] = GB_pow_uint8 (x, aij) ; \
}
GrB_Info GB (_bind1st_tran__pow_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] = GB_pow_uint8 (aij, y) ; \
}
GrB_Info GB (_bind2nd_tran__pow_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
|
TomoP2DModelSino_core.c | /*
* Copyright 2017 Daniil Kazantsev
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
* http://www.apache.org/licenses/LICENSE-2.0
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include <math.h>
#include <stdlib.h>
#include <memory.h>
#include <stdio.h>
#include "omp.h"
#include "utils.h"
#define M_PI 3.14159265358979323846
#define EPS 0.000000001
#define MAXCHAR 1000
/* Function to create 2D analytical sinograms (parallel beam geometry) to from models using Phantom2DLibrary.dat
*
* Input Parameters:
* 1. Model number (see Phantom2DLibrary.dat) [required]
* 2. VolumeSize in voxels (N x N ) [required]
* 3. Detector array size P (in pixels) [required]
* 4. Projection angles Th (in degrees) [required]
* 5. An absolute path to the file Phantom2DLibrary.dat (see OS-specific syntax-differences) [required]
* 6. VolumeCentring, choose 'radon' or 'astra' (default) [optional]
*
* Output:
* 1.2D sinogram size of [length(angles), P] or a temporal sinogram size of [length(angles), P, Time-Frames]
*/
/* function to build a single sinogram - object */
float TomoP2DObjectSino_core(float *A, int N, int P, float *Th, int AngTot, int CenTypeIn, char *Object, float C0, float x0, float y0, float a, float b, float phi_rot, int tt)
{
int i, j;
float *Tomorange_X_Ar=NULL, Tomorange_Xmin, Tomorange_Xmax, Sinorange_Pmax, Sinorange_Pmin, H_p, H_x, C1, a22, b22, phi_rot_radian;
float *Sinorange_P_Ar=NULL, *AnglesRad=NULL;
float AA5, sin_2, cos_2, delta1, delta_sq, first_dr, AA2, AA3, AA6, under_exp, x00, y00;
Sinorange_Pmax = (float)(P)/(float)(N+1);
Sinorange_Pmin = -Sinorange_Pmax;
Sinorange_P_Ar = malloc(P*sizeof(float));
H_p = (Sinorange_Pmax - Sinorange_Pmin)/(P-1);
for(i=0; i<P; i++) {Sinorange_P_Ar[i] = (Sinorange_Pmax) - (float)i*H_p;}
Tomorange_X_Ar = malloc(N*sizeof(float));
Tomorange_Xmin = -1.0f;
Tomorange_Xmax = 1.0f;
H_x = (Tomorange_Xmax - Tomorange_Xmin)/(N);
for(i=0; i<N; i++) {Tomorange_X_Ar[i] = Tomorange_Xmin + (float)i*H_x;}
AnglesRad = malloc(AngTot*sizeof(float));
for(i=0; i<AngTot; i++) AnglesRad[i] = (Th[i])*((float)M_PI/180.0f) + M_PI;
C1 = -4.0f*logf(2.0f);
if (CenTypeIn == 0) {
/* matlab radon-iradon settings */
x00 = x0 + H_x;
y00 = y0 + H_x;
}
else {
/* astra-toolbox settings */
/*2D parallel beam*/
x00 = x0 + 0.5f*H_x;
y00 = y0 + 0.5f*H_x;
}
/************************************************/
phi_rot_radian = (phi_rot)*((float)M_PI/180.0f);
a22 = a*a;
b22 = b*b;
/* parameters of an object have been extracted, now run the building module */
if (strcmp("gaussian",Object) == 0) {
/* The object is a gaussian */
AA5 = (N/2.0f)*(C0*(a)*(b)/2.0f)*sqrtf((float)M_PI/logf(2.0f));
#pragma omp parallel for shared(A) private(i,j,sin_2,cos_2,delta1,delta_sq,first_dr,under_exp,AA2,AA3)
for(i=0; i<AngTot; i++) {
sin_2 = powf((sinf((AnglesRad[i]) - phi_rot_radian)),2);
cos_2 = powf((cosf((AnglesRad[i]) - phi_rot_radian)),2);
delta1 = 1.0f/(a22*sin_2+b22*cos_2);
delta_sq = sqrtf(delta1);
first_dr = AA5*delta_sq;
AA2 = -x00*sinf(AnglesRad[i])+y00*cosf(AnglesRad[i]); /*p0*/
for(j=0; j<P; j++) {
AA3 = powf((Sinorange_P_Ar[j] - AA2),2); /*(p-p0)^2*/
under_exp = (C1*AA3)*delta1;
A[tt*AngTot*P + j*AngTot+i] += first_dr*expf(under_exp);
}}
}
else if (strcmp("parabola",Object) == 0) {
/* the object is a parabola Lambda = 1/2 */
AA5 = (N/2.0f)*(((float)M_PI/2.0f)*C0*((a))*((b)));
#pragma omp parallel for shared(A) private(i,j,sin_2,cos_2,delta1,delta_sq,first_dr,AA2,AA3,AA6)
for(i=0; i<AngTot; i++) {
sin_2 = powf((sinf((AnglesRad[i]) - phi_rot_radian)),2);
cos_2 = powf((cosf((AnglesRad[i]) - phi_rot_radian)),2);
delta1 = 1.0f/(a22*sin_2+b22*cos_2);
delta_sq = sqrtf(delta1);
first_dr = AA5*delta_sq;
AA2 = -x00*sinf(AnglesRad[i])+y00*cosf(AnglesRad[i]); /*p0*/
for(j=0; j<P; j++) {
AA3 = powf((Sinorange_P_Ar[j] - AA2),2); /*(p-p0)^2*/
AA6 = AA3*delta1;
if (AA6 < 1.0f) {
A[tt*AngTot*P + j*AngTot+i] += first_dr*(1.0f - AA6);
}
}}
}
else if (strcmp("ellipse",Object) == 0) {
/* the object is an elliptical disk */
AA5 = (N*C0*a*b);
#pragma omp parallel for shared(A) private(i,j,sin_2,cos_2,delta1,delta_sq,first_dr,AA2,AA3,AA6)
for(i=0; i<AngTot; i++) {
sin_2 = powf((sinf((AnglesRad[i]) - phi_rot_radian)),2);
cos_2 = powf((cosf((AnglesRad[i]) - phi_rot_radian)),2);
delta1 = 1.0f/(a22*sin_2 + b22*cos_2);
delta_sq = sqrtf(delta1);
first_dr = AA5*delta_sq;
AA2 = -x00*sinf(AnglesRad[i]) + y00*cosf(AnglesRad[i]); /*p0*/
for(j=0; j<P; j++) {
AA3 = powf((Sinorange_P_Ar[j] - AA2),2); /*(p-p0)^2*/
AA6 = (AA3)*delta1;
if (AA6 < 1.0f) {
A[tt*AngTot*P + j*AngTot+i] += first_dr*sqrtf(1.0f - AA6);
}
}}
}
else if (strcmp("parabola1",Object) == 0) {
/* the object is a parabola Lambda = 1 (12)*/
AA5 = (N/2.0f)*(4.0f*((0.25f*(a)*(b)*C0)/2.5f));
#pragma omp parallel for shared(A) private(i,j,sin_2,cos_2,delta1,delta_sq,first_dr,AA2,AA3,AA6)
for(i=0; i<AngTot; i++) {
sin_2 = powf((sinf((AnglesRad[i]) - phi_rot_radian)),2);
cos_2 = powf((cosf((AnglesRad[i]) - phi_rot_radian)),2);
delta1 = 1.0f/(0.25f*(a22)*sin_2 + 0.25f*b22*cos_2);
delta_sq = sqrtf(delta1);
first_dr = AA5*delta_sq;
AA2 = -x00*sinf(AnglesRad[i]) + y00*cosf(AnglesRad[i]); /*p0*/
for(j=0; j<P; j++) {
AA3 = powf((Sinorange_P_Ar[j] - AA2),2); /*(p-p0)^2*/
AA6 = AA3*delta1;
if (AA6 < 1.0f) {
A[tt*AngTot*P + j*AngTot+i] += first_dr*(1.0f - AA6);
}
}}
}
else if (strcmp("cone",Object) == 0) {
/* the object is a cone */
float pps2,rlogi,ty1;
AA5 = (N/2.0f)*(a*b*C0);
#pragma omp parallel for shared(A) private(i,j,sin_2,cos_2,delta1,delta_sq,first_dr,AA2,AA3,AA6,pps2,rlogi,ty1)
for(i=0; i<AngTot; i++) {
sin_2 = powf((sinf((AnglesRad[i]) - phi_rot_radian)),2);
cos_2 = powf((cosf((AnglesRad[i]) - phi_rot_radian)),2);
delta1 = 1.0f/(a22*sin_2 + b22*cos_2);
delta_sq = sqrtf(delta1);
first_dr = AA5*delta_sq;
AA2 = -x00*sinf(AnglesRad[i]) + y00*cosf(AnglesRad[i]); /*p0*/
for(j=0; j<P; j++) {
AA3 = powf((Sinorange_P_Ar[j] - AA2),2); /*(p-p0)^2*/
AA6 = AA3*delta1;
pps2 = 0.0f; rlogi=0.0f;
if (AA6 < 1.0f)
if (AA6 < (1.0f - EPS)) {
pps2 = sqrtf(fabs(1.0f - AA6));
rlogi=0.0f;
}
if ((AA6 > EPS) && (pps2 != 1.0f)) {
ty1 = (1.0f + pps2)/(1.0f - pps2);
if (ty1 > 0.0f) rlogi = 0.5f*AA6*logf(ty1);
}
A[tt*AngTot*P+ j*AngTot+i] += first_dr*(pps2 - rlogi);
}}
}
else if (strcmp("rectangle",Object) == 0) {
/* the object is a rectangle */
float xwid,ywid,p00,ksi00,ksi1;
float PI2,p,ksi,C,S,A2,B2,FI,CF,SF,P0,TF,PC,QM,DEL,XSYC,QP,SS,x11,y11;
if (CenTypeIn == 0) {
/* matlab radon-iradon settings */
x11 = -2.0f*y0 - H_x;
y11 = 2.0f*x0 + H_x;
}
else {
/* astra-toolbox settings */
x11 = -2.0f*y0 - 0.5f*H_x;
y11 = 2.0f*x0 + 0.5f*H_x;
}
xwid = b;
ywid = a;
if (phi_rot_radian < 0) {ksi1 = (float)M_PI + phi_rot_radian;}
else ksi1 = phi_rot_radian;
#pragma omp parallel for shared(A) private(i,j,PI2,p,ksi,C,S,A2,B2,FI,CF,SF,P0,TF,PC,QM,DEL,XSYC,QP,SS,p00,ksi00)
for(i=0; i<AngTot; i++) {
ksi00 = AnglesRad[(AngTot-1)-i] - M_PI;
for(j=0; j<P; j++) {
p00 = Sinorange_P_Ar[j];
PI2 = (float)M_PI*0.5f;
p = p00;
ksi=ksi00;
if (ksi > (float)M_PI) {
ksi = ksi - (float)M_PI;
p = -p00; }
S = sinf(ksi); C = cosf(ksi);
XSYC = -x11*C + y11*S;
A2 = xwid*0.5f;
B2 = ywid*0.5f;
if ((ksi - ksi1) < 0.0f) FI = (float)M_PI + ksi - ksi1;
else FI = ksi - ksi1;
if (FI > PI2) FI = (float)M_PI - FI;
CF = cosf(FI);
SF = sinf(FI);
P0 = fabs(p-XSYC);
SS = xwid/CF*C0;
if (fabs(CF) <= (float)EPS) {
SS = ywid*C0;
if ((P0 - A2) > (float)EPS) {
SS=0.0f;
}
}
if (fabs(SF) <= (float)EPS) {
SS = xwid*C0;
if ((P0 - B2) > (float)EPS) {
SS=0.0f;
}
}
TF = SF/CF;
PC = P0/CF;
QP = B2+A2*TF;
QM = QP+PC;
if (QM > ywid) {
DEL = P0+B2*CF;
SS = ywid/SF*C0;
if (DEL > (A2*SF)) {
SS = (QP-PC)/SF*C0;
}}
if (QM > ywid) {
DEL = P0+B2*CF;
if (DEL > A2*SF) SS = (QP-PC)/SF*C0;
else SS = ywid/SF*C0;
}
else SS = xwid/CF*C0;
if (PC >= QP) SS=0.0f;
A[tt*AngTot*P+ j*AngTot+i] += (N/2.0f)*SS;
}}
}
else {
return 0;
}
/************************************************/
free(Tomorange_X_Ar); free(Sinorange_P_Ar); free(AnglesRad);
return *A;
}
float TomoP2DModelSino_core(float *A, int ModelSelected, int N, int P, float *Th, int AngTot, int CenTypeIn, char *ModelParametersFilename)
{
int Model=0, Components=0, steps = 0, counter=0, ii;
float C0 = 0.0f, x0 = 0.0f, y0 = 0.0f, a = 0.0f, b = 0.0f, psi_gr1 = 0.0f;
FILE *fp = fopen(ModelParametersFilename, "r"); // read parameters file
if( fp == NULL ) {
printf("%s \n","Cannot open the model library file (Phantom2DLibrary.dat)");
}
else {
char str[MAXCHAR];
char tmpstr1[16];
char tmpstr2[22];
char tmpstr3[16];
char tmpstr4[16];
char tmpstr5[16];
char tmpstr6[16];
char tmpstr7[16];
char tmpstr8[16];
while (fgets(str, MAXCHAR, fp) != NULL)
{
/* work with non-# commented lines */
if(str[0] != '#') {
sscanf(str, "%15s : %21[^;];", tmpstr1, tmpstr2);
if (strcmp(tmpstr1,"Model")==0)
{
Model = atoi(tmpstr2);
if ((ModelSelected == Model) && (counter == 0)) {
/* check if we have a right model */
if (fgets(str, MAXCHAR, fp) != NULL) sscanf(str, "%15s : %21[^;];", tmpstr1, tmpstr2);
else {
//mexErrMsgTxt("Unexpected the end of the line (Components) in parameters file");
break; }
if (strcmp(tmpstr1,"Components") == 0) Components = atoi(tmpstr2);
printf("%s %i\n", "Components:", Components);
if (Components <= 0) {
printf("%s %i\n", "Components cannot be negative, the given value is", Components);
//mexErrMsgTxt("Components cannot be negative");
break; }
if (fgets(str, MAXCHAR, fp) != NULL) sscanf(str, "%15s : %21[^;];", tmpstr1, tmpstr2);
else {
//mexErrMsgTxt("Unexpected the end of the line (TimeSteps) in parameters file");
break; }
if (strcmp(tmpstr1,"TimeSteps") == 0) steps = atoi(tmpstr2);
if (steps <= 0) {
printf("%s %i\n", "TimeSteps cannot be negative, the given value is", steps);
//mexErrMsgTxt("TimeSteps cannot be negative");
break; }
printf("%s %i\n", "TimeSteps:", steps);
if (steps == 1) {
/**************************************************/
printf("\n %s %i %s \n", "Stationary 2D sinogram for model", ModelSelected, " is selected");
/* loop over all components */
for(ii=0; ii<Components; ii++) {
if (fgets(str, MAXCHAR, fp) != NULL) sscanf(str, "%15s : %21s %15s %15s %15s %15s %15s %15[^;];", tmpstr1, tmpstr2, tmpstr3, tmpstr4, tmpstr5, tmpstr6, tmpstr7, tmpstr8);
else {
//mexErrMsgTxt("Unexpected the end of the line (objects loop) in parameters file");
break; }
if (strcmp(tmpstr1,"Object") == 0) {
C0 = (float)atof(tmpstr3); /* intensity */
x0 = (float)atof(tmpstr4); /* x0 position */
y0 = (float)atof(tmpstr5); /* y0 position */
a = (float)atof(tmpstr6); /* a - size object */
b = (float)atof(tmpstr7); /* b - size object */
psi_gr1 = (float)atof(tmpstr8); /* rotation angle 1*/
}
else {
//mexErrMsgTxt("Cannot find 'Object' string in parameters file");
break; }
if ((strcmp("gaussian",tmpstr2) != 0) && (strcmp("parabola",tmpstr2) != 0) && (strcmp("ellipse",tmpstr2) != 0) && (strcmp("parabola1",tmpstr2) != 0) && (strcmp("cone",tmpstr2) != 0) && (strcmp("rectangle",tmpstr2) != 0) ) {
printf("%s %s\n", "Unknown name of the object, the given name is", tmpstr2);
//mexErrMsgTxt("Unknown name of the object");
break; }
if (C0 == 0) {
printf("%s %f\n", "C0 should not be equal to zero, the given value is", C0);
//mexErrMsgTxt("C0 should not be equal to zero");
break; }
if ((x0 < -1) || (x0 > 1)) {
printf("%s %f\n", "x0 (object position) must be in [-1,1] range, the given value is", x0);
//mexErrMsgTxt("x0 (object position) must be in [-1,1] range");
break; }
if ((y0 < -1) || (y0 > 1)) {
printf("%s %f\n", "y0 (object position) must be in [-1,1] range, the given value is", y0);
//mexErrMsgTxt("y0 (object position) must be in [-1,1] range");
break; }
if ((a <= 0) || (a > 2)) {
printf("%s %f\n", "a (object size) must be positive in [0,2] range, the given value is", a);
//mexErrMsgTxt("a (object size) must be positive in [0,2] range");
break; }
if ((b <= 0) || (b > 2)) {
printf("%s %f\n", "b (object size) must be positive in [0,2] range, the given value is", b);
//mexErrMsgTxt("b (object size) must be positive in [0,2] range");
break; }
//printf("\nObject : %s \nC0 : %f \nx0 : %f \ny0 : %f \na : %f \nb : %f \n", tmpstr2, C0, x0, y0, a, b);
TomoP2DObjectSino_core(A, N, P, Th, AngTot, CenTypeIn, tmpstr2, C0, x0, y0, b, a, -psi_gr1, 0);
}
}
else {
/**************************************************/
printf("\n %s %i %s \n", "Temporal 2D+time sinogram for model", ModelSelected, " is selected");
/* temporal phantom 2D + time (3D) */
float C1 = 0.0f, x1 = 0.0f, y1 = 0.0f, a1 = 0.0f, b1 = 0.0f, psi_gr1_1 = 0.0f;
/* loop over all components */
for(ii=0; ii<Components; ii++) {
if (fgets(str, MAXCHAR, fp) != NULL) sscanf(str, "%15s : %15s %15s %15s %15s %15s %15s %15[^;];", tmpstr1, tmpstr2, tmpstr3, tmpstr4, tmpstr5, tmpstr6, tmpstr7, tmpstr8);
else {
//mexErrMsgTxt("Unexpected the end of the line (objects loop) in parameters file");
break; }
if (strcmp(tmpstr1,"Object") == 0) {
C0 = (float)atof(tmpstr3); /* intensity */
x0 = (float)atof(tmpstr4); /* x0 position */
y0 = (float)atof(tmpstr5); /* y0 position */
a = (float)atof(tmpstr6); /* a - size object */
b = (float)atof(tmpstr7); /* b - size object */
psi_gr1 = (float)atof(tmpstr8); /* rotation angle 1*/
}
else {
//mexErrMsgTxt("Cannot find 'Object' string in parameters file");
break; }
// printf("\nObject : %s \nC0 : %f \nx0 : %f \ny0 : %f \nz0 : %f \na : %f \nb : %f \n", tmpstr2, C0, x0, y0, z0, a, b, c);
/* check Endvar relatedparameters */
if (fgets(str, MAXCHAR, fp) != NULL) sscanf(str, "%15s : %15s %15s %15s %15s %15s %15[^;];", tmpstr1, tmpstr3, tmpstr4, tmpstr5, tmpstr6, tmpstr7, tmpstr8);
else {
//mexErrMsgTxt("Unexpected the end of the line (Endvar loop) in parameters file");
break; }
if (strcmp(tmpstr1,"Endvar") == 0) {
C1 = (float)atof(tmpstr3); /* intensity */
x1 = (float)atof(tmpstr4); /* x0 position */
y1 = (float)atof(tmpstr5); /* y0 position */
a1 = (float)atof(tmpstr6); /* a - size object */
b1 = (float)atof(tmpstr7); /* b - size object */
psi_gr1_1 = (float)atof(tmpstr8); /* rotation angle 1*/
}
else {
printf("%s\n", "Cannot find 'Endvar' string in parameters file");
break; }
//printf("\nObject : %s \nC0 : %f \nx0 : %f \ny0 : %f \nz0 : %f \na : %f \nb : %f \nc : %f \n", tmpstr2, C0, x0, y0, z0, a1, b1, c1);
/*now we know the initial parameters of the object and the final ones. We linearly extrapolate to establish steps and coordinates. */
/* calculating the full distance berween the start and the end points */
float distance = sqrtf(pow((x1 - x0),2) + pow((y1 - y0),2));
float d_dist = distance/(steps-1); /*a step over line */
float C_step = (C1 - C0)/(steps-1);
float a_step = (a1 - a)/(steps-1);
float b_step = (b1 - b)/(steps-1);
float phi_rot_step = (psi_gr1_1 - psi_gr1)/(steps-1);
int tt;
float x_t, y_t, a_t, b_t, C_t, phi_t, d_step;
/* initialize */
x_t = x0; y_t = y0; a_t = a; b_t = b; C_t = C0; phi_t = psi_gr1; d_step = d_dist;
/*loop over time frames*/
for(tt=0; tt < steps; tt++) {
TomoP2DObjectSino_core(A, N, P, Th, AngTot, CenTypeIn, tmpstr2, C_t, -y_t, x_t, b_t, a_t, -phi_t, tt);
/* calculating new coordinates of an object */
if (distance != 0.0f) {
float t = d_step/distance;
x_t = (1-t)*x0 + t*x1;
y_t = (1-t)*y0 + t*y1; }
else {
x_t = x0;
y_t = y0; }
d_step += d_dist;
a_t += a_step;
b_t += b_step;
C_t += C_step;
phi_t += phi_rot_step;
} /*time steps*/
} /*components loop*/
}
counter++;
}
}
}
}
}
fclose(fp);
if (counter == 0) {
printf("%s %i %s \n", "Model no. ", ModelSelected, "is not found!");
//mexErrMsgTxt("No object found, check models file");
}
return *A;
}
|
mandel-omp.c |
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <math.h>
#include <unistd.h>
#include <malloc.h>
#if _DISPLAY_
#include <X11/Xlib.h>
#include <X11/Xutil.h>
#include <X11/Xos.h>
#endif
#include <sys/time.h>
double getusec_() {
struct timeval time;
gettimeofday(&time, NULL);
return ((double)time.tv_sec * (double)1e6 + (double)time.tv_usec);
}
#define START_COUNT_TIME stamp = getusec_();
#define STOP_COUNT_TIME(_m) stamp = getusec_() - stamp;\
stamp = stamp/1e6;\
printf ("%s: %0.6fs\n",(_m), stamp);
/* Default values for things. */
#define N 2 /* size of problem space (x, y from -N to N) */
#define NPIXELS 800 /* size of display window in pixels */
int row, col; // variables used to traverse the problem space
/* Structure definition for complex numbers */
typedef struct {
double real, imag;
} complex;
#if _DISPLAY_
/* Functions for GUI */
#include "mandelbrot-gui.h" /* has setup(), interact() */
#endif
void mandelbrot(int height,
int width,
double real_min,
double imag_min,
double scale_real,
double scale_imag,
int maxiter,
#if _DISPLAY_
int setup_return,
Display *display,
Window win,
GC gc,
double scale_color,
double min_color)
#else
int ** output)
#endif
{
/* Calculate points and save/display */
for (int row = 0; row < height; ++row) {
#pragma omp parallel
#pragma omp single
for (int col = 0; col < width; ++col) {
#pragma omp task firstprivate(col)
{
complex z, c;
z.real = z.imag = 0;
/* Scale display coordinates to actual region */
c.real = real_min + ((double) col * scale_real);
c.imag = imag_min + ((double) (height-1-row) * scale_imag);
/* height-1-row so y axis displays
* with larger values at top
*/
/* Calculate z0, z1, .... until divergence or maximum iterations */
int k = 0;
double lengthsq, temp;
do {
temp = z.real*z.real - z.imag*z.imag + c.real;
z.imag = 2*z.real*z.imag + c.imag;
z.real = temp;
lengthsq = z.real*z.real + z.imag*z.imag;
++k;
} while (lengthsq < (N*N) && k < maxiter);
#if _DISPLAY_
/* Scale color and display point */
long color = (long) ((k-1) * scale_color) + min_color;
if (setup_return == EXIT_SUCCESS) {
#pragma omp critical
{
XSetForeground (display, gc, color);
XDrawPoint (display, win, gc, col, row);
}
}
#else
output[row][col]=k;
#endif
}
}
}
}
int main(int argc, char *argv[]) {
int maxiter = 1000;
double real_min;
double real_max;
double imag_min;
double imag_max;
int width = NPIXELS; /* dimensions of display window */
int height = NPIXELS;
double size=N, x0 = 0, y0 = 0;
#if _DISPLAY_
Display *display;
Window win;
GC gc;
int setup_return;
long min_color = 0, max_color = 0;
double scale_color;
#else
int ** output;
FILE *fp = NULL;
#endif
double scale_real, scale_imag;
/* Process command-line arguments */
for (int i=1; i<argc; i++) {
if (strcmp(argv[i], "-i")==0) {
maxiter = atoi(argv[++i]);
}
else if (strcmp(argv[i], "-w")==0) {
width = atoi(argv[++i]);
height = width;
}
else if (strcmp(argv[i], "-s")==0) {
size = atof(argv[++i]);
}
#if !_DISPLAY_
else if (strcmp(argv[i], "-o")==0) {
if((fp=fopen("parallel.out", "wb"))==NULL) {
fprintf(stderr, "Unable to open file\n");
return EXIT_FAILURE;
}
}
#endif
else if (strcmp(argv[i], "-c")==0) {
x0 = atof(argv[++i]);
y0 = atof(argv[++i]);
}
else {
#if _DISPLAY_
fprintf(stderr, "Usage: %s [-i maxiter -w windowsize -c x0 y0 -s size]\n", argv[0]);
#else
fprintf(stderr, "Usage: %s [-o -i maxiter -w windowsize -c x0 y0 -s size]\n", argv[0]);
fprintf(stderr, " -o to write computed image to disk (default no file generated)\n");
#endif
fprintf(stderr, " -i to specify maximum number of iterations at each point (default 1000)\n");
#if _DISPLAY_
fprintf(stderr, " -w to specify the size of the display window (default 800x800 pixels)\n");
#else
fprintf(stderr, " -w to specify the size of the image to compute (default 800x800 elements)\n");
#endif
fprintf(stderr, " -c to specify the center x0+iy0 of the square to compute (default origin)\n");
fprintf(stderr, " -s to specify the size of the square to compute (default 2, i.e. size 4 by 4)\n");
return EXIT_FAILURE;
}
}
real_min = x0 - size;
real_max = x0 + size;
imag_min = y0 - size;
imag_max = y0 + size;
/* Produce text output */
fprintf(stdout, "\n");
fprintf(stdout, "Mandelbrot program\n");
fprintf(stdout, "center = (%g, %g), size = %g\n",
(real_max + real_min)/2, (imag_max + imag_min)/2,
(real_max - real_min)/2);
fprintf(stdout, "maximum iterations = %d\n", maxiter);
fprintf(stdout, "\n");
#if _DISPLAY_
/* Initialize for graphical display */
setup_return =
setup(width, height, &display, &win, &gc, &min_color, &max_color);
if (setup_return != EXIT_SUCCESS) {
fprintf(stderr, "Unable to initialize display, continuing\n");
return EXIT_FAILURE;
}
#else
output = malloc(height*sizeof(int *));
for (int row = 0; row < height; ++row)
output[row] = malloc(width*sizeof(int));
#endif
/* Compute factors to scale computational region to window */
scale_real = (double) (real_max - real_min) / (double) width;
scale_imag = (double) (imag_max - imag_min) / (double) height;
#if _DISPLAY_
/* Compute factor for color scaling */
scale_color = (double) (max_color - min_color) / (double) (maxiter - 1);
#endif
/* Start timing */
double stamp;
START_COUNT_TIME;
#if _DISPLAY_
mandelbrot(height,width,real_min, imag_min, scale_real, scale_imag, maxiter,
setup_return, display, win, gc, scale_color, min_color);
#else
mandelbrot(height,width,real_min, imag_min, scale_real, scale_imag, maxiter,
output);
#endif
/* End timing */
STOP_COUNT_TIME("Total execution time");
/* Be sure all output is written */
#if _DISPLAY_
if (setup_return == EXIT_SUCCESS) {
XFlush (display);
}
#else
if (fp != NULL)
{
for (int row = 0; row < height; ++row)
if(fwrite(output[row], sizeof(int), width, fp) != width) {
fprintf(stderr, "Output file not written correctly\n");
}
}
#endif
#if _DISPLAY_
/* Wait for user response, then exit program */
if (setup_return == EXIT_SUCCESS) {
interact(display, &win, width, height,
real_min, real_max, imag_min, imag_max);
}
return EXIT_SUCCESS;
#endif
}
|
paint.c | /*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% PPPP AAA IIIII N N TTTTT %
% P P A A I NN N T %
% PPPP AAAAA I N N N T %
% P A A I N NN T %
% P A A IIIII N N T %
% %
% %
% Methods to Paint on an Image %
% %
% Software Design %
% Cristy %
% July 1998 %
% %
% %
% Copyright 1999-2021 ImageMagick Studio LLC, a non-profit organization %
% dedicated to making software imaging solutions freely available. %
% %
% You may not use this file except in compliance with the License. You may %
% obtain a copy of the License at %
% %
% https://imagemagick.org/script/license.php %
% %
% Unless required by applicable law or agreed to in writing, software %
% distributed under the License is distributed on an "AS IS" BASIS, %
% WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. %
% See the License for the specific language governing permissions and %
% limitations under the License. %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
%
*/
/*
Include declarations.
*/
#include "magick/studio.h"
#include "magick/artifact.h"
#include "magick/cache.h"
#include "magick/channel.h"
#include "magick/color-private.h"
#include "magick/colorspace-private.h"
#include "magick/composite.h"
#include "magick/composite-private.h"
#include "magick/draw.h"
#include "magick/draw-private.h"
#include "magick/exception.h"
#include "magick/exception-private.h"
#include "magick/gem.h"
#include "magick/monitor.h"
#include "magick/monitor-private.h"
#include "magick/option.h"
#include "magick/paint.h"
#include "magick/pixel-private.h"
#include "magick/resource_.h"
#include "magick/string_.h"
#include "magick/string-private.h"
#include "magick/thread-private.h"
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% F l o o d f i l l P a i n t I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% FloodfillPaintImage() changes the color value of any pixel that matches
% target and is an immediate neighbor. If the method FillToBorderMethod is
% specified, the color value is changed for any neighbor pixel that does not
% match the bordercolor member of image.
%
% By default target must match a particular pixel color exactly.
% However, in many cases two colors may differ by a small amount. The
% fuzz member of image defines how much tolerance is acceptable to
% consider two colors as the same. For example, set fuzz to 10 and the
% color red at intensities of 100 and 102 respectively are now
% interpreted as the same color for the purposes of the floodfill.
%
% The format of the FloodfillPaintImage method is:
%
% MagickBooleanType FloodfillPaintImage(Image *image,
% const ChannelType channel,const DrawInfo *draw_info,
% const MagickPixelPacket target,const ssize_t x_offset,
% const ssize_t y_offset,const MagickBooleanType invert)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel(s).
%
% o draw_info: the draw info.
%
% o target: the RGB value of the target color.
%
% o x_offset,y_offset: the starting location of the operation.
%
% o invert: paint any pixel that does not match the target color.
%
*/
MagickExport MagickBooleanType FloodfillPaintImage(Image *image,
const ChannelType channel,const DrawInfo *draw_info,
const MagickPixelPacket *target,const ssize_t x_offset,const ssize_t y_offset,
const MagickBooleanType invert)
{
#define MaxStacksize 524288UL
#define PushSegmentStack(up,left,right,delta) \
{ \
if (s >= (segment_stack+MaxStacksize)) \
{ \
segment_info=RelinquishVirtualMemory(segment_info); \
image_view=DestroyCacheView(image_view); \
floodplane_view=DestroyCacheView(floodplane_view); \
floodplane_image=DestroyImage(floodplane_image); \
ThrowBinaryException(DrawError,"SegmentStackOverflow",image->filename) \
} \
else \
{ \
if ((((up)+(delta)) >= 0) && (((up)+(delta)) < (ssize_t) image->rows)) \
{ \
s->x1=(double) (left); \
s->y1=(double) (up); \
s->x2=(double) (right); \
s->y2=(double) (delta); \
s++; \
} \
} \
}
CacheView
*floodplane_view,
*image_view;
ExceptionInfo
*exception;
Image
*floodplane_image;
MagickBooleanType
skip;
MagickPixelPacket
fill,
pixel;
MemoryInfo
*segment_info;
PixelPacket
fill_color;
SegmentInfo
*s;
SegmentInfo
*segment_stack;
ssize_t
offset,
start,
x,
x1,
x2,
y;
/*
Check boundary conditions.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(draw_info != (DrawInfo *) NULL);
assert(draw_info->signature == MagickCoreSignature);
if ((x_offset < 0) || (x_offset >= (ssize_t) image->columns))
return(MagickFalse);
if ((y_offset < 0) || (y_offset >= (ssize_t) image->rows))
return(MagickFalse);
if (SetImageStorageClass(image,DirectClass) == MagickFalse)
return(MagickFalse);
exception=(&image->exception);
if (IsGrayColorspace(image->colorspace) != MagickFalse)
(void) SetImageColorspace(image,sRGBColorspace);
if ((image->matte == MagickFalse) &&
(draw_info->fill.opacity != OpaqueOpacity))
(void) SetImageAlphaChannel(image,OpaqueAlphaChannel);
/*
Set floodfill state.
*/
floodplane_image=CloneImage(image,0,0,MagickTrue,&image->exception);
if (floodplane_image == (Image *) NULL)
return(MagickFalse);
(void) SetImageAlphaChannel(floodplane_image,OpaqueAlphaChannel);
segment_info=AcquireVirtualMemory(MaxStacksize,sizeof(*segment_stack));
if (segment_info == (MemoryInfo *) NULL)
{
floodplane_image=DestroyImage(floodplane_image);
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
}
segment_stack=(SegmentInfo *) GetVirtualMemoryBlob(segment_info);
/*
Push initial segment on stack.
*/
x=x_offset;
y=y_offset;
start=0;
s=segment_stack;
GetMagickPixelPacket(image,&fill);
GetMagickPixelPacket(image,&pixel);
image_view=AcquireVirtualCacheView(image,exception);
floodplane_view=AcquireAuthenticCacheView(floodplane_image,exception);
PushSegmentStack(y,x,x,1);
PushSegmentStack(y+1,x,x,-1);
while (s > segment_stack)
{
const IndexPacket
*magick_restrict indexes;
const PixelPacket
*magick_restrict p;
ssize_t
x;
PixelPacket
*magick_restrict q;
/*
Pop segment off stack.
*/
s--;
x1=(ssize_t) s->x1;
x2=(ssize_t) s->x2;
offset=(ssize_t) s->y2;
y=(ssize_t) s->y1+offset;
/*
Recolor neighboring pixels.
*/
p=GetCacheViewVirtualPixels(image_view,0,y,(size_t) (x1+1),1,exception);
q=GetCacheViewAuthenticPixels(floodplane_view,0,y,(size_t) (x1+1),1,
exception);
if ((p == (const PixelPacket *) NULL) || (q == (PixelPacket *) NULL))
break;
indexes=GetCacheViewVirtualIndexQueue(image_view);
p+=x1;
q+=x1;
for (x=x1; x >= 0; x--)
{
if (q->opacity == (Quantum) TransparentOpacity)
break;
SetMagickPixelPacket(image,p,indexes+x,&pixel);
if (IsMagickColorSimilar(&pixel,target) == invert)
break;
q->opacity=(Quantum) TransparentOpacity;
p--;
q--;
}
if (SyncCacheViewAuthenticPixels(floodplane_view,exception) == MagickFalse)
break;
skip=x >= x1 ? MagickTrue : MagickFalse;
if (skip == MagickFalse)
{
start=x+1;
if (start < x1)
PushSegmentStack(y,start,x1-1,-offset);
x=x1+1;
}
do
{
if (skip == MagickFalse)
{
if (x < (ssize_t) image->columns)
{
p=GetCacheViewVirtualPixels(image_view,x,y,image->columns-x,1,
exception);
q=GetCacheViewAuthenticPixels(floodplane_view,x,y,
image->columns-x,1,exception);
if ((p == (const PixelPacket *) NULL) ||
(q == (PixelPacket *) NULL))
break;
indexes=GetCacheViewVirtualIndexQueue(image_view);
for ( ; x < (ssize_t) image->columns; x++)
{
if (q->opacity == (Quantum) TransparentOpacity)
break;
SetMagickPixelPacket(image,p,indexes+x,&pixel);
if (IsMagickColorSimilar(&pixel,target) == invert)
break;
q->opacity=(Quantum) TransparentOpacity;
p++;
q++;
}
if (SyncCacheViewAuthenticPixels(floodplane_view,exception) == MagickFalse)
break;
}
PushSegmentStack(y,start,x-1,offset);
if (x > (x2+1))
PushSegmentStack(y,x2+1,x-1,-offset);
}
skip=MagickFalse;
x++;
if (x <= x2)
{
p=GetCacheViewVirtualPixels(image_view,x,y,(size_t) (x2-x+1),1,
exception);
q=GetCacheViewAuthenticPixels(floodplane_view,x,y,(size_t) (x2-x+1),1,
exception);
if ((p == (const PixelPacket *) NULL) || (q == (PixelPacket *) NULL))
break;
indexes=GetCacheViewVirtualIndexQueue(image_view);
for ( ; x <= x2; x++)
{
if (q->opacity == (Quantum) TransparentOpacity)
break;
SetMagickPixelPacket(image,p,indexes+x,&pixel);
if (IsMagickColorSimilar(&pixel,target) != invert)
break;
p++;
q++;
}
}
start=x;
} while (x <= x2);
}
for (y=0; y < (ssize_t) image->rows; y++)
{
const PixelPacket
*magick_restrict p;
IndexPacket
*magick_restrict indexes;
ssize_t
x;
PixelPacket
*magick_restrict q;
/*
Tile fill color onto floodplane.
*/
p=GetCacheViewVirtualPixels(floodplane_view,0,y,image->columns,1,
exception);
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if ((p == (const PixelPacket *) NULL) || (q == (PixelPacket *) NULL))
break;
indexes=GetCacheViewAuthenticIndexQueue(image_view);
for (x=0; x < (ssize_t) image->columns; x++)
{
if (GetPixelOpacity(p) != OpaqueOpacity)
{
(void) GetFillColor(draw_info,x,y,&fill_color);
SetMagickPixelPacket(image,&fill_color,(IndexPacket *) NULL,&fill);
if (image->colorspace == CMYKColorspace)
ConvertRGBToCMYK(&fill);
if ((channel & RedChannel) != 0)
SetPixelRed(q,ClampToQuantum(fill.red));
if ((channel & GreenChannel) != 0)
SetPixelGreen(q,ClampToQuantum(fill.green));
if ((channel & BlueChannel) != 0)
SetPixelBlue(q,ClampToQuantum(fill.blue));
if (((channel & OpacityChannel) != 0) ||
(draw_info->fill.opacity != OpaqueOpacity))
SetPixelOpacity(q,ClampToQuantum(fill.opacity));
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
SetPixelIndex(indexes+x,ClampToQuantum(fill.index));
}
p++;
q++;
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
break;
}
floodplane_view=DestroyCacheView(floodplane_view);
image_view=DestroyCacheView(image_view);
segment_info=RelinquishVirtualMemory(segment_info);
floodplane_image=DestroyImage(floodplane_image);
return(y == (ssize_t) image->rows ? MagickTrue : MagickFalse);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G r a d i e n t I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GradientImage() applies a continuously smooth color transitions along a
% vector from one color to another.
%
% Note, the interface of this method will change in the future to support
% more than one transistion.
%
% The format of the GradientImage method is:
%
% MagickBooleanType GradientImage(Image *image,const GradientType type,
% const SpreadMethod method,const PixelPacket *start_color,
% const PixelPacket *stop_color)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o type: the gradient type: linear or radial.
%
% o spread: the gradient spread meathod: pad, reflect, or repeat.
%
% o start_color: the start color.
%
% o stop_color: the stop color.
%
% This provides a good example of making use of the DrawGradientImage
% function and the gradient structure in draw_info.
%
*/
MagickExport MagickBooleanType GradientImage(Image *image,
const GradientType type,const SpreadMethod method,
const PixelPacket *start_color,const PixelPacket *stop_color)
{
const char
*artifact;
DrawInfo
*draw_info;
GradientInfo
*gradient;
MagickBooleanType
status;
ssize_t
i;
/*
Set gradient start-stop end points.
*/
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(start_color != (const PixelPacket *) NULL);
assert(stop_color != (const PixelPacket *) NULL);
draw_info=AcquireDrawInfo();
gradient=(&draw_info->gradient);
gradient->type=type;
gradient->bounding_box.width=image->columns;
gradient->bounding_box.height=image->rows;
artifact=GetImageArtifact(image,"gradient:bounding-box");
if (artifact != (const char *) NULL)
(void) ParseAbsoluteGeometry(artifact,&gradient->bounding_box);
gradient->gradient_vector.x2=(double) image->columns-1;
gradient->gradient_vector.y2=(double) image->rows-1;
artifact=GetImageArtifact(image,"gradient:direction");
if (artifact != (const char *) NULL)
{
GravityType
direction;
direction=(GravityType) ParseCommandOption(MagickGravityOptions,
MagickFalse,artifact);
switch (direction)
{
case NorthWestGravity:
{
gradient->gradient_vector.x1=(double) image->columns-1;
gradient->gradient_vector.y1=(double) image->rows-1;
gradient->gradient_vector.x2=0.0;
gradient->gradient_vector.y2=0.0;
break;
}
case NorthGravity:
{
gradient->gradient_vector.x1=0.0;
gradient->gradient_vector.y1=(double) image->rows-1;
gradient->gradient_vector.x2=0.0;
gradient->gradient_vector.y2=0.0;
break;
}
case NorthEastGravity:
{
gradient->gradient_vector.x1=0.0;
gradient->gradient_vector.y1=(double) image->rows-1;
gradient->gradient_vector.x2=(double) image->columns-1;
gradient->gradient_vector.y2=0.0;
break;
}
case WestGravity:
{
gradient->gradient_vector.x1=(double) image->columns-1;
gradient->gradient_vector.y1=0.0;
gradient->gradient_vector.x2=0.0;
gradient->gradient_vector.y2=0.0;
break;
}
case EastGravity:
{
gradient->gradient_vector.x1=0.0;
gradient->gradient_vector.y1=0.0;
gradient->gradient_vector.x2=(double) image->columns-1;
gradient->gradient_vector.y2=0.0;
break;
}
case SouthWestGravity:
{
gradient->gradient_vector.x1=(double) image->columns-1;
gradient->gradient_vector.y1=0.0;
gradient->gradient_vector.x2=0.0;
gradient->gradient_vector.y2=(double) image->rows-1;
break;
}
case SouthGravity:
{
gradient->gradient_vector.x1=0.0;
gradient->gradient_vector.y1=0.0;
gradient->gradient_vector.x2=0.0;
gradient->gradient_vector.y2=(double) image->columns-1;
break;
}
case SouthEastGravity:
{
gradient->gradient_vector.x1=0.0;
gradient->gradient_vector.y1=0.0;
gradient->gradient_vector.x2=(double) image->columns-1;
gradient->gradient_vector.y2=(double) image->rows-1;
break;
}
default:
break;
}
}
artifact=GetImageArtifact(image,"gradient:angle");
if (artifact != (const char *) NULL)
gradient->angle=(MagickRealType) StringToDouble(artifact,(char **) NULL);
artifact=GetImageArtifact(image,"gradient:vector");
if (artifact != (const char *) NULL)
(void) sscanf(artifact,"%lf%*[ ,]%lf%*[ ,]%lf%*[ ,]%lf",
&gradient->gradient_vector.x1,&gradient->gradient_vector.y1,
&gradient->gradient_vector.x2,&gradient->gradient_vector.y2);
if ((GetImageArtifact(image,"gradient:angle") == (const char *) NULL) &&
(GetImageArtifact(image,"gradient:direction") == (const char *) NULL) &&
(GetImageArtifact(image,"gradient:extent") == (const char *) NULL) &&
(GetImageArtifact(image,"gradient:vector") == (const char *) NULL))
if ((type == LinearGradient) && (gradient->gradient_vector.y2 != 0.0))
gradient->gradient_vector.x2=0.0;
gradient->center.x=(double) gradient->gradient_vector.x2/2.0;
gradient->center.y=(double) gradient->gradient_vector.y2/2.0;
artifact=GetImageArtifact(image,"gradient:center");
if (artifact != (const char *) NULL)
(void) sscanf(artifact,"%lf%*[ ,]%lf",&gradient->center.x,
&gradient->center.y);
artifact=GetImageArtifact(image,"gradient:angle");
if ((type == LinearGradient) && (artifact != (const char *) NULL))
{
double
sine,
cosine,
distance;
/*
Reference https://drafts.csswg.org/css-images-3/#linear-gradients.
*/
sine=sin((double) DegreesToRadians(gradient->angle-90.0));
cosine=cos((double) DegreesToRadians(gradient->angle-90.0));
distance=fabs((double) (image->columns-1)*cosine)+
fabs((double) (image->rows-1)*sine);
gradient->gradient_vector.x1=0.5*((image->columns-1)-distance*cosine);
gradient->gradient_vector.y1=0.5*((image->rows-1)-distance*sine);
gradient->gradient_vector.x2=0.5*((image->columns-1)+distance*cosine);
gradient->gradient_vector.y2=0.5*((image->rows-1)+distance*sine);
}
gradient->radii.x=(double) MagickMax((image->columns-1),(image->rows-1))/2.0;
gradient->radii.y=gradient->radii.x;
artifact=GetImageArtifact(image,"gradient:extent");
if (artifact != (const char *) NULL)
{
if (LocaleCompare(artifact,"Circle") == 0)
{
gradient->radii.x=(double) (MagickMax((image->columns-1),
(image->rows-1)))/2.0;
gradient->radii.y=gradient->radii.x;
}
if (LocaleCompare(artifact,"Diagonal") == 0)
{
gradient->radii.x=(double) (sqrt((double) (image->columns-1)*
(image->columns-1)+(image->rows-1)*(image->rows-1)))/2.0;
gradient->radii.y=gradient->radii.x;
}
if (LocaleCompare(artifact,"Ellipse") == 0)
{
gradient->radii.x=(double) (image->columns-1)/2.0;
gradient->radii.y=(double) (image->rows-1)/2.0;
}
if (LocaleCompare(artifact,"Maximum") == 0)
{
gradient->radii.x=(double) MagickMax((image->columns-1),
(image->rows-1))/2.0;
gradient->radii.y=gradient->radii.x;
}
if (LocaleCompare(artifact,"Minimum") == 0)
{
gradient->radii.x=(double) MagickMin((image->columns-1),
(image->rows-1))/2.0;
gradient->radii.y=gradient->radii.x;
}
}
artifact=GetImageArtifact(image,"gradient:radii");
if (artifact != (const char *) NULL)
(void) sscanf(artifact,"%lf%*[ ,]%lf",&gradient->radii.x,
&gradient->radii.y);
gradient->radius=MagickMax(gradient->radii.x,gradient->radii.y);
gradient->spread=method;
/*
Define the gradient to fill between the stops.
*/
gradient->number_stops=2;
gradient->stops=(StopInfo *) AcquireQuantumMemory(gradient->number_stops,
sizeof(*gradient->stops));
if (gradient->stops == (StopInfo *) NULL)
ThrowBinaryImageException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
(void) memset(gradient->stops,0,gradient->number_stops*
sizeof(*gradient->stops));
for (i=0; i < (ssize_t) gradient->number_stops; i++)
GetMagickPixelPacket(image,&gradient->stops[i].color);
SetMagickPixelPacket(image,start_color,(IndexPacket *) NULL,
&gradient->stops[0].color);
gradient->stops[0].offset=0.0;
SetMagickPixelPacket(image,stop_color,(IndexPacket *) NULL,
&gradient->stops[1].color);
gradient->stops[1].offset=1.0;
/*
Draw a gradient on the image.
*/
status=DrawGradientImage(image,draw_info);
draw_info=DestroyDrawInfo(draw_info);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% O i l P a i n t I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% OilPaintImage() applies a special effect filter that simulates an oil
% painting. Each pixel is replaced by the most frequent color occurring
% in a circular region defined by radius.
%
% The format of the OilPaintImage method is:
%
% Image *OilPaintImage(const Image *image,const double radius,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o radius: the radius of the circular neighborhood.
%
% o exception: return any errors or warnings in this structure.
%
*/
static size_t **DestroyHistogramThreadSet(size_t **histogram)
{
ssize_t
i;
assert(histogram != (size_t **) NULL);
for (i=0; i < (ssize_t) GetMagickResourceLimit(ThreadResource); i++)
if (histogram[i] != (size_t *) NULL)
histogram[i]=(size_t *) RelinquishMagickMemory(histogram[i]);
histogram=(size_t **) RelinquishMagickMemory(histogram);
return(histogram);
}
static size_t **AcquireHistogramThreadSet(const size_t count)
{
ssize_t
i;
size_t
**histogram,
number_threads;
number_threads=(size_t) GetMagickResourceLimit(ThreadResource);
histogram=(size_t **) AcquireQuantumMemory(number_threads,
sizeof(*histogram));
if (histogram == (size_t **) NULL)
return((size_t **) NULL);
(void) memset(histogram,0,number_threads*sizeof(*histogram));
for (i=0; i < (ssize_t) number_threads; i++)
{
histogram[i]=(size_t *) AcquireQuantumMemory(count,
sizeof(**histogram));
if (histogram[i] == (size_t *) NULL)
return(DestroyHistogramThreadSet(histogram));
}
return(histogram);
}
MagickExport Image *OilPaintImage(const Image *image,const double radius,
ExceptionInfo *exception)
{
#define NumberPaintBins 256
#define OilPaintImageTag "OilPaint/Image"
CacheView
*image_view,
*paint_view;
Image
*linear_image,
*paint_image;
MagickBooleanType
status;
MagickOffsetType
progress;
size_t
**magick_restrict histograms,
width;
ssize_t
y;
/*
Initialize painted image attributes.
*/
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
width=GetOptimalKernelWidth2D(radius,0.5);
linear_image=CloneImage(image,0,0,MagickTrue,exception);
paint_image=CloneImage(image,0,0,MagickTrue,exception);
if ((linear_image == (Image *) NULL) || (paint_image == (Image *) NULL))
{
if (linear_image != (Image *) NULL)
linear_image=DestroyImage(linear_image);
if (paint_image != (Image *) NULL)
linear_image=DestroyImage(paint_image);
return((Image *) NULL);
}
if (SetImageStorageClass(paint_image,DirectClass) == MagickFalse)
{
InheritException(exception,&paint_image->exception);
linear_image=DestroyImage(linear_image);
paint_image=DestroyImage(paint_image);
return((Image *) NULL);
}
histograms=AcquireHistogramThreadSet(NumberPaintBins);
if (histograms == (size_t **) NULL)
{
linear_image=DestroyImage(linear_image);
paint_image=DestroyImage(paint_image);
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
}
/*
Oil paint image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireVirtualCacheView(linear_image,exception);
paint_view=AcquireAuthenticCacheView(paint_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(linear_image,paint_image,linear_image->rows,1)
#endif
for (y=0; y < (ssize_t) linear_image->rows; y++)
{
const IndexPacket
*magick_restrict indexes;
const PixelPacket
*magick_restrict p;
IndexPacket
*magick_restrict paint_indexes;
ssize_t
x;
PixelPacket
*magick_restrict q;
size_t
*histogram;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,-((ssize_t) width/2L),y-(ssize_t)
(width/2L),linear_image->columns+width,width,exception);
q=QueueCacheViewAuthenticPixels(paint_view,0,y,paint_image->columns,1,
exception);
if ((p == (const PixelPacket *) NULL) || (q == (PixelPacket *) NULL))
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewVirtualIndexQueue(image_view);
paint_indexes=GetCacheViewAuthenticIndexQueue(paint_view);
histogram=histograms[GetOpenMPThreadId()];
for (x=0; x < (ssize_t) linear_image->columns; x++)
{
ssize_t
i,
u;
size_t
count;
ssize_t
j,
k,
v;
/*
Assign most frequent color.
*/
i=0;
j=0;
count=0;
(void) memset(histogram,0,NumberPaintBins*sizeof(*histogram));
for (v=0; v < (ssize_t) width; v++)
{
for (u=0; u < (ssize_t) width; u++)
{
k=(ssize_t) ScaleQuantumToChar(ClampToQuantum(GetPixelIntensity(
linear_image,p+u+i)));
histogram[k]++;
if (histogram[k] > count)
{
j=i+u;
count=histogram[k];
}
}
i+=(ssize_t) (linear_image->columns+width);
}
*q=(*(p+j));
if (linear_image->colorspace == CMYKColorspace)
SetPixelIndex(paint_indexes+x,GetPixelIndex(indexes+x+j));
p++;
q++;
}
if (SyncCacheViewAuthenticPixels(paint_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,OilPaintImageTag,progress,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
paint_view=DestroyCacheView(paint_view);
image_view=DestroyCacheView(image_view);
histograms=DestroyHistogramThreadSet(histograms);
linear_image=DestroyImage(linear_image);
if (status == MagickFalse)
paint_image=DestroyImage(paint_image);
return(paint_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% O p a q u e P a i n t I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% OpaquePaintImage() changes any pixel that matches color with the color
% defined by fill.
%
% By default color must match a particular pixel color exactly. However,
% in many cases two colors may differ by a small amount. Fuzz defines
% how much tolerance is acceptable to consider two colors as the same.
% For example, set fuzz to 10 and the color red at intensities of 100 and
% 102 respectively are now interpreted as the same color.
%
% The format of the OpaquePaintImage method is:
%
% MagickBooleanType OpaquePaintImage(Image *image,
% const PixelPacket *target,const PixelPacket *fill,
% const MagickBooleanType invert)
% MagickBooleanType OpaquePaintImageChannel(Image *image,
% const ChannelType channel,const PixelPacket *target,
% const PixelPacket *fill,const MagickBooleanType invert)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel(s).
%
% o target: the RGB value of the target color.
%
% o fill: the replacement color.
%
% o invert: paint any pixel that does not match the target color.
%
*/
MagickExport MagickBooleanType OpaquePaintImage(Image *image,
const MagickPixelPacket *target,const MagickPixelPacket *fill,
const MagickBooleanType invert)
{
return(OpaquePaintImageChannel(image,CompositeChannels,target,fill,invert));
}
MagickExport MagickBooleanType OpaquePaintImageChannel(Image *image,
const ChannelType channel,const MagickPixelPacket *target,
const MagickPixelPacket *fill,const MagickBooleanType invert)
{
#define OpaquePaintImageTag "Opaque/Image"
CacheView
*image_view;
ExceptionInfo
*exception;
MagickBooleanType
status;
MagickOffsetType
progress;
MagickPixelPacket
conform_fill,
conform_target,
zero;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(target != (MagickPixelPacket *) NULL);
assert(fill != (MagickPixelPacket *) NULL);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (SetImageStorageClass(image,DirectClass) == MagickFalse)
return(MagickFalse);
exception=(&image->exception);
ConformMagickPixelPacket(image,fill,&conform_fill,exception);
ConformMagickPixelPacket(image,target,&conform_target,exception);
/*
Make image color opaque.
*/
status=MagickTrue;
progress=0;
GetMagickPixelPacket(image,&zero);
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
MagickPixelPacket
pixel;
IndexPacket
*magick_restrict indexes;
ssize_t
x;
PixelPacket
*magick_restrict q;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewAuthenticIndexQueue(image_view);
pixel=zero;
for (x=0; x < (ssize_t) image->columns; x++)
{
SetMagickPixelPacket(image,q,indexes+x,&pixel);
if (IsMagickColorSimilar(&pixel,&conform_target) != invert)
{
if ((channel & RedChannel) != 0)
SetPixelRed(q,ClampToQuantum(conform_fill.red));
if ((channel & GreenChannel) != 0)
SetPixelGreen(q,ClampToQuantum(conform_fill.green));
if ((channel & BlueChannel) != 0)
SetPixelBlue(q,ClampToQuantum(conform_fill.blue));
if ((channel & OpacityChannel) != 0)
SetPixelOpacity(q,ClampToQuantum(conform_fill.opacity));
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
SetPixelIndex(indexes+x,ClampToQuantum(conform_fill.index));
}
q++;
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,OpaquePaintImageTag,progress,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% T r a n s p a r e n t P a i n t I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% TransparentPaintImage() changes the opacity value associated with any pixel
% that matches color to the value defined by opacity.
%
% By default color must match a particular pixel color exactly. However,
% in many cases two colors may differ by a small amount. Fuzz defines
% how much tolerance is acceptable to consider two colors as the same.
% For example, set fuzz to 10 and the color red at intensities of 100 and
% 102 respectively are now interpreted as the same color.
%
% The format of the TransparentPaintImage method is:
%
% MagickBooleanType TransparentPaintImage(Image *image,
% const MagickPixelPacket *target,const Quantum opacity,
% const MagickBooleanType invert)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o target: the target color.
%
% o opacity: the replacement opacity value.
%
% o invert: paint any pixel that does not match the target color.
%
*/
MagickExport MagickBooleanType TransparentPaintImage(Image *image,
const MagickPixelPacket *target,const Quantum opacity,
const MagickBooleanType invert)
{
#define TransparentPaintImageTag "Transparent/Image"
CacheView
*image_view;
ExceptionInfo
*exception;
MagickBooleanType
status;
MagickOffsetType
progress;
MagickPixelPacket
zero;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(target != (MagickPixelPacket *) NULL);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (SetImageStorageClass(image,DirectClass) == MagickFalse)
return(MagickFalse);
if (image->matte == MagickFalse)
(void) SetImageAlphaChannel(image,OpaqueAlphaChannel);
/*
Make image color transparent.
*/
status=MagickTrue;
progress=0;
exception=(&image->exception);
GetMagickPixelPacket(image,&zero);
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
MagickPixelPacket
pixel;
IndexPacket
*magick_restrict indexes;
ssize_t
x;
PixelPacket
*magick_restrict q;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewAuthenticIndexQueue(image_view);
pixel=zero;
for (x=0; x < (ssize_t) image->columns; x++)
{
SetMagickPixelPacket(image,q,indexes+x,&pixel);
if (IsMagickColorSimilar(&pixel,target) != invert)
q->opacity=opacity;
q++;
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,TransparentPaintImageTag,progress,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% T r a n s p a r e n t P a i n t I m a g e C h r o m a %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% TransparentPaintImageChroma() changes the opacity value associated with any
% pixel that matches color to the value defined by opacity.
%
% As there is one fuzz value for the all the channels, the
% TransparentPaintImage() API is not suitable for the operations like chroma,
% where the tolerance for similarity of two color component (RGB) can be
% different, Thus we define this method take two target pixels (one
% low and one hight) and all the pixels of an image which are lying between
% these two pixels are made transparent.
%
% The format of the TransparentPaintImage method is:
%
% MagickBooleanType TransparentPaintImage(Image *image,
% const MagickPixelPacket *low,const MagickPixelPacket *hight,
% const Quantum opacity,const MagickBooleanType invert)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o low: the low target color.
%
% o high: the high target color.
%
% o opacity: the replacement opacity value.
%
% o invert: paint any pixel that does not match the target color.
%
*/
MagickExport MagickBooleanType TransparentPaintImageChroma(Image *image,
const MagickPixelPacket *low,const MagickPixelPacket *high,
const Quantum opacity,const MagickBooleanType invert)
{
#define TransparentPaintImageTag "Transparent/Image"
CacheView
*image_view;
ExceptionInfo
*exception;
MagickBooleanType
status;
MagickOffsetType
progress;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(high != (MagickPixelPacket *) NULL);
assert(low != (MagickPixelPacket *) NULL);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (SetImageStorageClass(image,DirectClass) == MagickFalse)
return(MagickFalse);
if (image->matte == MagickFalse)
(void) SetImageAlphaChannel(image,ResetAlphaChannel);
/*
Make image color transparent.
*/
status=MagickTrue;
progress=0;
exception=(&image->exception);
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
MagickBooleanType
match;
MagickPixelPacket
pixel;
IndexPacket
*magick_restrict indexes;
ssize_t
x;
PixelPacket
*magick_restrict q;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewAuthenticIndexQueue(image_view);
GetMagickPixelPacket(image,&pixel);
for (x=0; x < (ssize_t) image->columns; x++)
{
SetMagickPixelPacket(image,q,indexes+x,&pixel);
match=((pixel.red >= low->red) && (pixel.red <= high->red) &&
(pixel.green >= low->green) && (pixel.green <= high->green) &&
(pixel.blue >= low->blue) && (pixel.blue <= high->blue)) ? MagickTrue : MagickFalse;
if (match != invert)
q->opacity=opacity;
q++;
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,TransparentPaintImageTag,progress,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
return(status);
}
|
3d7pt_var.c | /*
* Order-1, 3D 7 point stencil with variable coefficients
* Adapted from PLUTO and Pochoir test bench
*
* Tareq Malas
*/
#include <stdio.h>
#include <stdlib.h>
#include <sys/time.h>
#ifdef LIKWID_PERFMON
#include <likwid.h>
#endif
#include "print_utils.h"
#define TESTS 2
#define MAX(a,b) ((a) > (b) ? a : b)
#define MIN(a,b) ((a) < (b) ? a : b)
/* Subtract the `struct timeval' values X and Y,
* storing the result in RESULT.
*
* Return 1 if the difference is negative, otherwise 0.
*/
int timeval_subtract(struct timeval *result, struct timeval *x, struct timeval *y)
{
/* Perform the carry for the later subtraction by updating y. */
if (x->tv_usec < y->tv_usec)
{
int nsec = (y->tv_usec - x->tv_usec) / 1000000 + 1;
y->tv_usec -= 1000000 * nsec;
y->tv_sec += nsec;
}
if (x->tv_usec - y->tv_usec > 1000000)
{
int nsec = (x->tv_usec - y->tv_usec) / 1000000;
y->tv_usec += 1000000 * nsec;
y->tv_sec -= nsec;
}
/* Compute the time remaining to wait.
* tv_usec is certainly positive.
*/
result->tv_sec = x->tv_sec - y->tv_sec;
result->tv_usec = x->tv_usec - y->tv_usec;
/* Return 1 if result is negative. */
return x->tv_sec < y->tv_sec;
}
int main(int argc, char *argv[])
{
int t, i, j, k, m, test;
int Nx, Ny, Nz, Nt;
if (argc > 3) {
Nx = atoi(argv[1])+2;
Ny = atoi(argv[2])+2;
Nz = atoi(argv[3])+2;
}
if (argc > 4)
Nt = atoi(argv[4]);
// allocate the arrays
double ****A = (double ****) malloc(sizeof(double***)*2);
for(m=0; m<2;m++){
A[m] = (double ***) malloc(sizeof(double**)*Nz);
for(i=0; i<Nz; i++){
A[m][i] = (double**) malloc(sizeof(double*)*Ny);
for(j=0;j<Ny;j++){
A[m][i][j] = (double*) malloc(sizeof(double)*Nx);
}
}
}
double ****coef = (double ****) malloc(sizeof(double***)*7);
for(m=0; m<7;m++){
coef[m] = (double ***) malloc(sizeof(double**)*Nz);
for(i=0; i<Nz; i++){
coef[m][i] = (double**) malloc(sizeof(double*)*Ny);
for(j=0;j<Ny;j++){
coef[m][i][j] = (double*) malloc(sizeof(double)*Nx);
}
}
}
// tile size information, including extra element to decide the list length
int *tile_size = (int*) malloc(sizeof(int));
tile_size[0] = -1;
// The list is modified here before source-to-source transformations
tile_size = (int*) realloc((void *)tile_size, sizeof(int)*5);
tile_size[0] = 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<7; m++) {
for (i=1; i<Nz; i++) {
for (j=1; j<Ny; j++) {
for (k=1; k<Nx; k++) {
coef[m][i][j][k] = 1.0 * (rand() % BASE);
}
}
}
}
#ifdef LIKWID_PERFMON
LIKWID_MARKER_INIT;
#pragma omp parallel
{
LIKWID_MARKER_THREADINIT;
#pragma omp barrier
LIKWID_MARKER_START("calc");
}
#endif
int num_threads = 1;
#if defined(_OPENMP)
num_threads = omp_get_max_threads();
#endif
for(test=0; test<TESTS; test++){
gettimeofday(&start, 0);
// serial execution - Addition: 6 && Multiplication: 2
#pragma scop
for (t = 0; t < Nt-1; t++) {
for (i = 1; i < Nz-1; i++) {
for (j = 1; j < Ny-1; j++) {
for (k = 1; k < Nx-1; k++) {
A[(t+1)%2][i][j][k] = coef[0][i][j][k] * A[t%2][i ][j ][k ] +
coef[1][i][j][k] * A[t%2][i-1][j ][k ] +
coef[2][i][j][k] * A[t%2][i ][j-1][k ] +
coef[3][i][j][k] * A[t%2][i ][j ][k-1] +
coef[4][i][j][k] * A[t%2][i+1][j ][k ] +
coef[5][i][j][k] * A[t%2][i ][j+1][k ] +
coef[6][i][j][k] * A[t%2][i ][j ][k+1];
}
}
}
}
#pragma endscop
gettimeofday(&end, 0);
ts_return = timeval_subtract(&result, &end, &start);
tdiff = (double) (result.tv_sec + result.tv_usec * 1.0e-6);
min_tdiff = min(min_tdiff, tdiff);
printf("Rank 0 TEST# %d time: %f\n", test, tdiff);
}
PRINT_RESULTS(1, "variable no-symmetry")
#ifdef LIKWID_PERFMON
#pragma omp parallel
{
LIKWID_MARKER_STOP("calc");
}
LIKWID_MARKER_CLOSE;
#endif
// Free allocated arrays
for(i=0; i<Nz; i++){
for(j=0;j<Ny;j++){
free(A[0][i][j]);
free(A[1][i][j]);
}
free(A[0][i]);
free(A[1][i]);
}
free(A[0]);
free(A[1]);
for(m=0; m<7;m++){
for(i=0; i<Nz; i++){
for(j=0;j<Ny;j++){
free(coef[m][i][j]);
}
free(coef[m][i]);
}
free(coef[m]);
}
return 0;
}
|
openmp-ex14a.c | #include <stdio.h>
#include <omp.h>
int main(void)
{
int N = 10;
int i;
/* Thus far the first thread has always received the start of the loop, but
* we can control this with the schedule() clause: schedule(static,5) means
* that we use the static scheduling methods with a block size of 5.
*
* scheduling methods (from [[https://software.intel.com/en-us/articles/openmp-loop-scheduling]]):
* static: divide the loop into equal-sized chunks or as equal as possible
* in the case where the number of loop iterations is not evenly divisible
* by the number of threads multiplied by the chunk size. By default, chunk
* size is loop_count/number_of_threads.Set chunk to 1 to interleave the
* iterations.
* dynamic: Use the internal work queue to give a chunk-sized block of loop
* iterations to each thread. When a thread is finished, it retrieves the
* next block of loop iterations from the top of the work queue. By default,
* the chunk size is 1. Be careful when using this scheduling type
* because of the extra overhead involved.
* guided: Similar to dynamic scheduling, but the chunk size starts off
* large and decreases to better handle load imbalance between iterations.
* The optional chunk parameter specifies them minimum size chunk to use. By
* default the chunk size is approximately loop_count/number_of_threads.
* auto: When schedule (auto) is specified, the decision regarding
* scheduling is delegated to the compiler. The programmer gives the
* compiler the freedom to choose any possible mapping of iterations to
* threads in the team.
* runtime: Uses the OMP_schedule environment variable to specify which one
* of the three loop-scheduling types should be used. OMP_SCHEDULE is a
* string formatted exactly the same as would appear on the parallel
* construct.
* */
#pragma omp parallel for schedule(static,5)
for (i = 0; i < N; i++) {
int my_thread = omp_get_thread_num();
printf("iteration %d, thread %d\n", i, my_thread);
}
return 0;
}
|
mandelecl.c | #include<Python.h>
#include<numpy/arrayobject.h>
#include<math.h>
#include<omp.h>
#define IND(a,i) *((double *)(a->data+i*a->strides[0]))
static PyObject *mandelecl(PyObject *self, PyObject *args, PyObject *keywds);
static PyObject *mandelecl(PyObject *self, PyObject *args, PyObject *keywds)
{
PyObject *etc;
PyArrayObject *t, *y, *eclparams;
npy_intp dims[1];
// etc = PyList_New(0);
static char *kwlist[] = {"eclparams","t","etc",NULL};
if(!PyArg_ParseTupleAndKeywords(args,keywds,"OO|O"\
,kwlist,&eclparams,&t,&etc))
{
return NULL;
}
double midpt,width,depth,t12,t34,flux;
double t1,t2,t3,t4,p,z,k0,k1;
midpt = IND(eclparams,0);
width = IND(eclparams,1);
depth = IND(eclparams,2);
t12 = IND(eclparams,3);
t34 = IND(eclparams,4);
flux = IND(eclparams,5);
if(depth == 0)
{
dims[0] = t->dimensions[0];
y = (PyArrayObject *) PyArray_SimpleNew(1,dims,PyArray_DOUBLE);
int i;
for(i=0;i<dims[0];i++)
{
IND(y,i) = flux;
}
return PyArray_Return(y);
}
//Compute Time of Contact Points
t1 = midpt -width/2;
if((t1+t12)<midpt)
t2 = t1+t12;
else
t2 = midpt;
t4 = midpt +width/2;
if((t4-t34) > midpt)
t3 = t4-t34;
else
t3 = midpt;
p = sqrt(fabs(depth))*(depth/fabs(depth));
dims[0] = t->dimensions[0];
y = (PyArrayObject *) PyArray_SimpleNew(1,dims,PyArray_DOUBLE);
int i;
#pragma omp parallel for private(z,k0,k1)
for(i=0;i<dims[0];i++)
{
IND(y,i) = 1;
if(IND(t,i)>=t2&&IND(t,i)<=t3)
{
IND(y,i) = 1 - depth;
}
else if(p != 0)
{
// Use Mandel & agol (2002) for ingress of eclipse
if(IND(t,i)>t1&&IND(t,i)<t2)
{
z = -2*p*(IND(t,i)-t1)/t12 +1+p;
k0 = acos((p*p+z*z-1)/2/p/z);
k1 = acos((1-p*p+z*z)/2/z);
IND(y,i) = 1-depth/fabs(depth)/M_PI*(p*p*k0+k1
-sqrt((4*z*z-pow((1+z*z-p*p),2))/4));
}
else if(IND(t,i)>t3&&IND(t,i)<t4)
{
z = 2*p*(IND(t,i)-t3)/t34+1-p;
k0 = acos((p*p+z*z-1)/2/p/z);
k1 = acos((1-p*p+z*z)/2/z);
IND(y,i) = 1-depth/fabs(depth)/M_PI*(p*p*k0+k1
- sqrt((4*z*z-pow((1+z*z-p*p),2))/4));
}
}
IND(y,i) *= flux;
}
Py_XDECREF(dims);
return PyArray_Return(y);
}
static char module_docstring[] ="\
This function computes the secondary eclipse shape using equations provided by Mandel & Agol (2002)\n\
\n\
Parameters\n\
----------\n\
midpt: Center of eclipse\n\
width: Eclipse duration from contacts 1 to 4\n\
depth: Eclipse depth\n\
t12: Eclipse duration from contacts 1 to 2\n\
t34: Eclipse duration from contacts 3 to 4\n\
flux: Flux offset from 0\n\
t: Array of phase points\n\
\n\
Returns\n\
-------\n\
This function returns the flux for each point in t.\n\
\n\
Revisions\n\
---------\n\
2008-05-08 Kevin Stevenson, UCF \n\
kevin218@knights.ucf.edu\n\
Original version\n\
2010-12-19 Nate Lust, UCF\n\
natelust at linux dot com\n\
Changed to c extention function\n\
2018-11-22 Jonathan Fraine, SSI\n\
jfraine at spacescience.org\n\
Updated c extensions to python3, with support for python2.7\n\
";
static PyMethodDef module_methods[]={
{"mandelecl",(PyCFunction)mandelecl,METH_VARARGS|METH_KEYWORDS,module_docstring}, {NULL}};
PyMODINIT_FUNC
#if PY_MAJOR_VERSION >= 3
PyInit_mandelecl(void)
#else
initmandelecl(void)
#endif
{
#if PY_MAJOR_VERSION >= 3
PyObject *module;
static struct PyModuleDef moduledef = {
PyModuleDef_HEAD_INIT,
"mandelecl", /* m_name */
module_docstring, /* m_doc */
-1, /* m_size */
module_methods, /* m_methods */
NULL, /* m_reload */
NULL, /* m_traverse */
NULL, /* m_clear */
NULL, /* m_free */
};
#endif
#if PY_MAJOR_VERSION >= 3
module = PyModule_Create(&moduledef);
if (!module)
return NULL;
/* Load `numpy` functionality. */
import_array();
return module;
#else
PyObject *m = Py_InitModule3("mandelecl", module_methods, module_docstring);
if (m == NULL)
return;
/* Load `numpy` functionality. */
import_array();
#endif
}
|
random_draw.c | /*
Copyright (c) 2015, Intel Corporation
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 Intel Corporation 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.
*/
/**********************************************************************
Name: LCG
Purpose: Provide a mixed Linear Congruential Generator of pseudo-random
numbers with a period of 2^64, plus tools to jump ahead in a sequence
of such generated numbers. For details, see individual functions.
Functions: LCG_next: a new pseudo-randon number
LCG_get_chunk: return subset of an interval of natural numbers
LCG_init: initialize the generator
LCG_jump: jump ahead into a sequence of pseudo-random numbers
random_draw:
Notes: LCG_init must be called by each thread or rank before any jump
into a sequence of pseudo-random numbers is made
History: Written by Rob Van der Wijngaart, December 2015
**********************************************************************/
#include <math.h>
#include <stdint.h>
#include <inttypes.h>
#include <limits.h>
#include "random_draw.h"
static uint64_t LCG_a = 6364136223846793005;
static uint64_t LCG_c = 1442695040888963407;
static uint64_t LCG_seed_init = 27182818285; //used to (re)set seed
#ifdef __OPENMP
#pragma omp threadprivate (LCG_seed, LCG_A)
#endif
/* for a range of 0 to size-i, find chunk assigned to calling thread */
void LCG_get_chunk(uint64_t *start, uint64_t *end, int tid, int nthreads, uint64_t size) {
uint64_t chunk, remainder;
chunk = size/nthreads;
remainder = size - chunk*nthreads;
if ((uint64_t)tid < remainder) {
*start = tid*(chunk+1);
*end = *start + chunk;
}
else {
*start = remainder*(chunk+1) + (tid-remainder)*chunk;
*end = *start + chunk -1;
}
return;
}
static uint64_t tail(uint64_t x) {
uint64_t x2 = x;
if (!x) return x;
uint64_t result = 1;
while (x>>=1) result <<=1;
return (x2 - result);
}
/* Sum(i=1,2^k) a^i */
static uint64_t SUMPOWER(int k, random_draw_t *parm) {
if (!k) return LCG_a;
return SUMPOWER(k-1, parm)*(1+parm->LCG_A[k-1]);
}
static int LOG(uint64_t n) {
int result = 0;
while (n>>=1) result++;
return(result);
}
/* Sum(i=1,n) a^i, with n arbitrary */
static uint64_t SUMK(uint64_t n, random_draw_t *parm) {
if (n==0) return(0);
uint64_t HEAD = SUMPOWER(LOG(n),parm);
uint64_t TAILn = tail(n);
if (TAILn==0) return(HEAD);
return(HEAD + (parm->LCG_A[LOG(n)])*SUMK(TAILn,parm));
}
uint64_t LCG_next(uint64_t bound, random_draw_t *parm) {
parm->LCG_seed = LCG_a*parm->LCG_seed + LCG_c;
return (parm->LCG_seed%bound);
}
void LCG_init(random_draw_t *parm){
int i;
parm->LCG_seed = LCG_seed_init;
parm->LCG_A[0] = LCG_a;
for (i=1; i<NMAX; i++) {
parm->LCG_A[i] = parm->LCG_A[i-1]*parm->LCG_A[i-1];
}
return;
}
void LCG_jump(uint64_t m, uint64_t bound, random_draw_t *parm){
int i, index, LCG_power[NMAX];
uint64_t mm, s_part;
for (i=0; i<NMAX; i++) LCG_power[i] = 0;
parm->LCG_seed = LCG_seed_init;
/* Catch two special cases */
switch (m) {
case 0: return;
case 1: LCG_next(bound, parm); return;
}
mm = m;
index = 0;
while (mm) {
LCG_power[index++] = mm&1;
mm >>=1;
}
s_part = 1;
for (i=0; i<index; i++) if (LCG_power[i]) s_part *= parm->LCG_A[i];
parm->LCG_seed = s_part*parm->LCG_seed + (SUMK(m-1,parm)+1)*LCG_c;
return;
}
uint64_t random_draw(double mu, random_draw_t *parm)
{
const double two_pi = 2.0*3.14159265358979323846;
const uint64_t rand_max = ULLONG_MAX;
const double rand_div = 1.0/(double)ULLONG_MAX;
const uint64_t denominator = UINT_MAX;
static double z0, z1;
double u0, u1, sigma;
static uint64_t numerator;
static uint64_t i0, i1;
if (mu>=1.0) {
/* set std dev equal to 15% of average; ensures result will never be negative */
sigma = mu*0.15;
u0 = LCG_next(rand_max, parm) * rand_div;
u1 = LCG_next(rand_max, parm) * rand_div;
z0 = sqrt(-2.0 * log(u0)) * cos(two_pi * u1);
z1 = sqrt(-2.0 * log(u0)) * sin(two_pi * u1);
return (uint64_t) (z0 * sigma + mu+0.5);
}
else {
/* we need to pick two integers whose quotient approximates mu; set one to UINT_MAX */
numerator = (uint32_t) (mu*(double)denominator);
i0 = LCG_next(denominator, parm); /* don't use value, but must call LCG_next twice */
i1 = LCG_next(denominator, parm);
return ((uint64_t)(i1<=numerator));
}
}
|
test.c | #include <unistd.h>
#include <stdio.h>
#include <omp.h>
int main(void){
#pragma omp parallel for
for(int i = 0; i < 256; i++)
{
sleep(1);
}
printf("Exit loop\n");
while (1)
{
sleep(1);
}
return 0;
}
|
fib.c | #include <stdio.h>
#include <stdlib.h>
#include <omp.h>
int fib(int n) {
int i, j;
if (n<2)
return n;
else {
#pragma omp task shared(i)
i=fib(n-1);
#pragma omp task shared(j)
j=fib(n-2);
#pragma omp taskwait
return i+j;
}
}
int main(int argc, char **argv){
int n, result;
char *a = argv[1];
n = atoi(a);
#pragma omp parallel
{
#pragma omp single
result = fib(n);
}
printf("Result is %d\n", result);
}
|
9429.c | // this source is derived from CHILL AST originally from file '/uufs/chpc.utah.edu/common/home/u1142914/lib/ytopt_vinu/polybench/polybench-code/stencils/fdtd-2d/kernel.c' as parsed by frontend compiler rose
void kernel_fdtd_2d(int tmax, int nx, int ny, double ex[1000 + 0][1200 + 0], double ey[1000 + 0][1200 + 0], double hz[1000 + 0][1200 + 0], double _fict_[500 + 0]) {
int t10;
int t8;
int t6;
int t4;
int t2;
for (t2 = 0; t2 <= tmax - 1; t2 += 1) {
for (t4 = 0; t4 <= ny - 1; t4 += 1)
ey[0][t4] = _fict_[t2];
#pragma omp parallel for private(t4,t6,t8,t10)
for (t4 = 1; t4 <= nx - 1; t4 += 128)
for (t6 = t4; t6 <= (t4 + 127 < nx - 1 ? t4 + 127 : nx - 1); t6 += 1)
for (t8 = 0; t8 <= ny - 1; t8 += 16)
for (t10 = t8; t10 <= (ny - 1 < t8 + 15 ? ny - 1 : t8 + 15); t10 += 1)
ey[t6][t10] = ey[t6][t10] - 0.5 * (hz[t6][t10] - hz[t6 - 1][t10]);
#pragma omp parallel for private(t4,t6,t8,t10)
for (t4 = 0; t4 <= nx - 1; t4 += 128)
for (t6 = t4; t6 <= (t4 + 127 < nx - 1 ? t4 + 127 : nx - 1); t6 += 1)
for (t8 = 1; t8 <= ny - 1; t8 += 16)
for (t10 = t8; t10 <= (ny - 1 < t8 + 15 ? ny - 1 : t8 + 15); t10 += 1)
ex[t6][t10] = ex[t6][t10] - 0.5 * (hz[t6][t10] - hz[t6][t10 - 1]);
#pragma omp parallel for private(t4,t6,t8,t10)
for (t4 = 0; t4 <= nx - 2; t4 += 128)
for (t6 = t4; t6 <= (t4 + 127 < nx - 2 ? t4 + 127 : nx - 2); t6 += 1)
for (t8 = 0; t8 <= ny - 2; t8 += 16)
for (t10 = t8; t10 <= (ny - 2 < t8 + 15 ? ny - 2 : t8 + 15); t10 += 1)
hz[t6][t10] = hz[t6][t10] - 0.69999999999999996 * (ex[t6][t10 + 1] - ex[t6][t10] + ey[t6 + 1][t10] - ey[t6][t10]);
}
}
|
GeneralMatrixMatrix.h | // This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2008-2009 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_GENERAL_MATRIX_MATRIX_H
#define EIGEN_GENERAL_MATRIX_MATRIX_H
namespace Eigen {
namespace internal {
template<typename _LhsScalar, typename _RhsScalar> class level3_blocking;
/* Specialization for a row-major destination matrix => simple transposition of the product */
template<
typename Index,
typename LhsScalar, int LhsStorageOrder, bool ConjugateLhs,
typename RhsScalar, int RhsStorageOrder, bool ConjugateRhs>
struct general_matrix_matrix_product<Index,LhsScalar,LhsStorageOrder,ConjugateLhs,RhsScalar,RhsStorageOrder,ConjugateRhs,RowMajor>
{
typedef typename scalar_product_traits<LhsScalar, RhsScalar>::ReturnType ResScalar;
static EIGEN_STRONG_INLINE void run(
Index rows, Index cols, Index depth,
const LhsScalar* lhs, Index lhsStride,
const RhsScalar* rhs, Index rhsStride,
ResScalar* res, Index resStride,
ResScalar alpha,
level3_blocking<RhsScalar,LhsScalar>& blocking,
GemmParallelInfo<Index>* info = 0)
{
// transpose the product such that the result is column major
general_matrix_matrix_product<Index,
RhsScalar, RhsStorageOrder==RowMajor ? ColMajor : RowMajor, ConjugateRhs,
LhsScalar, LhsStorageOrder==RowMajor ? ColMajor : RowMajor, ConjugateLhs,
ColMajor>
::run(cols,rows,depth,rhs,rhsStride,lhs,lhsStride,res,resStride,alpha,blocking,info);
}
};
/* Specialization for a col-major destination matrix
* => Blocking algorithm following Goto's paper */
template<
typename Index,
typename LhsScalar, int LhsStorageOrder, bool ConjugateLhs,
typename RhsScalar, int RhsStorageOrder, bool ConjugateRhs>
struct general_matrix_matrix_product<Index,LhsScalar,LhsStorageOrder,ConjugateLhs,RhsScalar,RhsStorageOrder,ConjugateRhs,ColMajor>
{
typedef typename scalar_product_traits<LhsScalar, RhsScalar>::ReturnType ResScalar;
static void run(Index rows, Index cols, Index depth,
const LhsScalar* _lhs, Index lhsStride,
const RhsScalar* _rhs, Index rhsStride,
ResScalar* res, Index resStride,
ResScalar alpha,
level3_blocking<LhsScalar,RhsScalar>& blocking,
GemmParallelInfo<Index>* info = 0)
{
const_blas_data_mapper<LhsScalar, Index, LhsStorageOrder> lhs(_lhs,lhsStride);
const_blas_data_mapper<RhsScalar, Index, RhsStorageOrder> rhs(_rhs,rhsStride);
typedef gebp_traits<LhsScalar,RhsScalar> Traits;
Index kc = blocking.kc(); // cache block size along the K direction
Index mc = (std::min)(rows,blocking.mc()); // cache block size along the M direction
//Index nc = blocking.nc(); // cache block size along the N direction
gemm_pack_lhs<LhsScalar, Index, Traits::mr, Traits::LhsProgress, LhsStorageOrder> pack_lhs;
gemm_pack_rhs<RhsScalar, Index, Traits::nr, RhsStorageOrder> pack_rhs;
gebp_kernel<LhsScalar, RhsScalar, Index, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
#ifdef EIGEN_HAS_OPENMP
if(info)
{
// this is the parallel version!
Index tid = omp_get_thread_num();
Index threads = omp_get_num_threads();
std::size_t sizeA = kc*mc;
std::size_t sizeW = kc*Traits::WorkSpaceFactor;
ei_declare_aligned_stack_constructed_variable(LhsScalar, blockA, sizeA, 0);
ei_declare_aligned_stack_constructed_variable(RhsScalar, w, sizeW, 0);
RhsScalar* blockB = blocking.blockB();
eigen_internal_assert(blockB!=0);
// For each horizontal panel of the rhs, and corresponding vertical panel of the lhs...
for(Index k=0; k<depth; k+=kc)
{
const Index actual_kc = (std::min)(k+kc,depth)-k; // => rows of B', and cols of the A'
// In order to reduce the chance that a thread has to wait for the other,
// let's start by packing A'.
pack_lhs(blockA, &lhs(0,k), lhsStride, actual_kc, mc);
// Pack B_k to B' in a parallel fashion:
// each thread packs the sub block B_k,j to B'_j where j is the thread id.
// However, before copying to B'_j, we have to make sure that no other thread is still using it,
// i.e., we test that info[tid].users equals 0.
// Then, we set info[tid].users to the number of threads to mark that all other threads are going to use it.
while(info[tid].users!=0) {}
info[tid].users += threads;
pack_rhs(blockB+info[tid].rhs_start*actual_kc, &rhs(k,info[tid].rhs_start), rhsStride, actual_kc, info[tid].rhs_length);
// Notify the other threads that the part B'_j is ready to go.
info[tid].sync = k;
// Computes C_i += A' * B' per B'_j
for(Index shift=0; shift<threads; ++shift)
{
Index j = (tid+shift)%threads;
// At this point we have to make sure that B'_j has been updated by the thread j,
// we use testAndSetOrdered to mimic a volatile access.
// However, no need to wait for the B' part which has been updated by the current thread!
if(shift>0)
while(info[j].sync!=k) {}
gebp(res+info[j].rhs_start*resStride, resStride, blockA, blockB+info[j].rhs_start*actual_kc, mc, actual_kc, info[j].rhs_length, alpha, -1,-1,0,0, w);
}
// Then keep going as usual with the remaining A'
for(Index i=mc; i<rows; i+=mc)
{
const Index actual_mc = (std::min)(i+mc,rows)-i;
// pack A_i,k to A'
pack_lhs(blockA, &lhs(i,k), lhsStride, actual_kc, actual_mc);
// C_i += A' * B'
gebp(res+i, resStride, blockA, blockB, actual_mc, actual_kc, cols, alpha, -1,-1,0,0, w);
}
// Release all the sub blocks B'_j of B' for the current thread,
// i.e., we simply decrement the number of users by 1
for(Index j=0; j<threads; ++j)
#pragma omp atomic
--(info[j].users);
}
}
else
#endif // EIGEN_HAS_OPENMP
{
EIGEN_UNUSED_VARIABLE(info);
// this is the sequential version!
std::size_t sizeA = kc*mc;
std::size_t sizeB = kc*cols;
std::size_t sizeW = kc*Traits::WorkSpaceFactor;
ei_declare_aligned_stack_constructed_variable(LhsScalar, blockA, sizeA, blocking.blockA());
ei_declare_aligned_stack_constructed_variable(RhsScalar, blockB, sizeB, blocking.blockB());
ei_declare_aligned_stack_constructed_variable(RhsScalar, blockW, sizeW, blocking.blockW());
// For each horizontal panel of the rhs, and corresponding panel of the lhs...
// (==GEMM_VAR1)
for(Index k2=0; k2<depth; k2+=kc)
{
const Index actual_kc = (std::min)(k2+kc,depth)-k2;
// OK, here we have selected one horizontal panel of rhs and one vertical panel of lhs.
// => Pack rhs's panel into a sequential chunk of memory (L2 caching)
// Note that this panel will be read as many times as the number of blocks in the lhs's
// vertical panel which is, in practice, a very low number.
pack_rhs(blockB, &rhs(k2,0), rhsStride, actual_kc, cols);
// For each mc x kc block of the lhs's vertical panel...
// (==GEPP_VAR1)
for(Index i2=0; i2<rows; i2+=mc)
{
const Index actual_mc = (std::min)(i2+mc,rows)-i2;
// We pack the lhs's block into a sequential chunk of memory (L1 caching)
// Note that this block will be read a very high number of times, which is equal to the number of
// micro vertical panel of the large rhs's panel (e.g., cols/4 times).
pack_lhs(blockA, &lhs(i2,k2), lhsStride, actual_kc, actual_mc);
// Everything is packed, we can now call the block * panel kernel:
gebp(res+i2, resStride, blockA, blockB, actual_mc, actual_kc, cols, alpha, -1, -1, 0, 0, blockW);
}
}
}
}
};
/*********************************************************************************
* Specialization of GeneralProduct<> for "large" GEMM, i.e.,
* implementation of the high level wrapper to general_matrix_matrix_product
**********************************************************************************/
template<typename Lhs, typename Rhs>
struct traits<GeneralProduct<Lhs,Rhs,GemmProduct> >
: traits<ProductBase<GeneralProduct<Lhs,Rhs,GemmProduct>, Lhs, Rhs> >
{};
template<typename Scalar, typename Index, typename Gemm, typename Lhs, typename Rhs, typename Dest, typename BlockingType>
struct gemm_functor
{
gemm_functor(const Lhs& lhs, const Rhs& rhs, Dest& dest, Scalar actualAlpha,
BlockingType& blocking)
: m_lhs(lhs), m_rhs(rhs), m_dest(dest), m_actualAlpha(actualAlpha), m_blocking(blocking)
{}
void initParallelSession() const
{
m_blocking.allocateB();
}
void operator() (Index row, Index rows, Index col=0, Index cols=-1, GemmParallelInfo<Index>* info=0) const
{
if(cols==-1)
cols = m_rhs.cols();
Gemm::run(rows, cols, m_lhs.cols(),
/*(const Scalar*)*/&m_lhs.coeffRef(row,0), m_lhs.outerStride(),
/*(const Scalar*)*/&m_rhs.coeffRef(0,col), m_rhs.outerStride(),
(Scalar*)&(m_dest.coeffRef(row,col)), m_dest.outerStride(),
m_actualAlpha, m_blocking, info);
}
protected:
const Lhs& m_lhs;
const Rhs& m_rhs;
Dest& m_dest;
Scalar m_actualAlpha;
BlockingType& m_blocking;
};
template<int StorageOrder, typename LhsScalar, typename RhsScalar, int MaxRows, int MaxCols, int MaxDepth, int KcFactor=1,
bool FiniteAtCompileTime = MaxRows!=Dynamic && MaxCols!=Dynamic && MaxDepth != Dynamic> class gemm_blocking_space;
template<typename _LhsScalar, typename _RhsScalar>
class level3_blocking
{
typedef _LhsScalar LhsScalar;
typedef _RhsScalar RhsScalar;
protected:
LhsScalar* m_blockA;
RhsScalar* m_blockB;
RhsScalar* m_blockW;
DenseIndex m_mc;
DenseIndex m_nc;
DenseIndex m_kc;
public:
level3_blocking()
: m_blockA(0), m_blockB(0), m_blockW(0), m_mc(0), m_nc(0), m_kc(0)
{}
inline DenseIndex mc() const { return m_mc; }
inline DenseIndex nc() const { return m_nc; }
inline DenseIndex kc() const { return m_kc; }
inline LhsScalar* blockA() { return m_blockA; }
inline RhsScalar* blockB() { return m_blockB; }
inline RhsScalar* blockW() { return m_blockW; }
};
template<int StorageOrder, typename _LhsScalar, typename _RhsScalar, int MaxRows, int MaxCols, int MaxDepth, int KcFactor>
class gemm_blocking_space<StorageOrder,_LhsScalar,_RhsScalar,MaxRows, MaxCols, MaxDepth, KcFactor, true>
: public level3_blocking<
typename conditional<StorageOrder==RowMajor,_RhsScalar,_LhsScalar>::type,
typename conditional<StorageOrder==RowMajor,_LhsScalar,_RhsScalar>::type>
{
enum {
Transpose = StorageOrder==RowMajor,
ActualRows = Transpose ? MaxCols : MaxRows,
ActualCols = Transpose ? MaxRows : MaxCols
};
typedef typename conditional<Transpose,_RhsScalar,_LhsScalar>::type LhsScalar;
typedef typename conditional<Transpose,_LhsScalar,_RhsScalar>::type RhsScalar;
typedef gebp_traits<LhsScalar,RhsScalar> Traits;
enum {
SizeA = ActualRows * MaxDepth,
SizeB = ActualCols * MaxDepth,
SizeW = MaxDepth * Traits::WorkSpaceFactor
};
EIGEN_ALIGN16 LhsScalar m_staticA[SizeA];
EIGEN_ALIGN16 RhsScalar m_staticB[SizeB];
EIGEN_ALIGN16 RhsScalar m_staticW[SizeW];
public:
gemm_blocking_space(DenseIndex /*rows*/, DenseIndex /*cols*/, DenseIndex /*depth*/)
{
this->m_mc = ActualRows;
this->m_nc = ActualCols;
this->m_kc = MaxDepth;
this->m_blockA = m_staticA;
this->m_blockB = m_staticB;
this->m_blockW = m_staticW;
}
inline void allocateA() {}
inline void allocateB() {}
inline void allocateW() {}
inline void allocateAll() {}
};
template<int StorageOrder, typename _LhsScalar, typename _RhsScalar, int MaxRows, int MaxCols, int MaxDepth, int KcFactor>
class gemm_blocking_space<StorageOrder,_LhsScalar,_RhsScalar,MaxRows, MaxCols, MaxDepth, KcFactor, false>
: public level3_blocking<
typename conditional<StorageOrder==RowMajor,_RhsScalar,_LhsScalar>::type,
typename conditional<StorageOrder==RowMajor,_LhsScalar,_RhsScalar>::type>
{
enum {
Transpose = StorageOrder==RowMajor
};
typedef typename conditional<Transpose,_RhsScalar,_LhsScalar>::type LhsScalar;
typedef typename conditional<Transpose,_LhsScalar,_RhsScalar>::type RhsScalar;
typedef gebp_traits<LhsScalar,RhsScalar> Traits;
DenseIndex m_sizeA;
DenseIndex m_sizeB;
DenseIndex m_sizeW;
public:
gemm_blocking_space(DenseIndex rows, DenseIndex cols, DenseIndex depth)
{
this->m_mc = Transpose ? cols : rows;
this->m_nc = Transpose ? rows : cols;
this->m_kc = depth;
computeProductBlockingSizes<LhsScalar,RhsScalar,KcFactor>(this->m_kc, this->m_mc, this->m_nc);
m_sizeA = this->m_mc * this->m_kc;
m_sizeB = this->m_kc * this->m_nc;
m_sizeW = this->m_kc*Traits::WorkSpaceFactor;
}
void allocateA()
{
if(this->m_blockA==0)
this->m_blockA = aligned_new<LhsScalar>(m_sizeA);
}
void allocateB()
{
if(this->m_blockB==0)
this->m_blockB = aligned_new<RhsScalar>(m_sizeB);
}
void allocateW()
{
if(this->m_blockW==0)
this->m_blockW = aligned_new<RhsScalar>(m_sizeW);
}
void allocateAll()
{
allocateA();
allocateB();
allocateW();
}
~gemm_blocking_space()
{
aligned_delete(this->m_blockA, m_sizeA);
aligned_delete(this->m_blockB, m_sizeB);
aligned_delete(this->m_blockW, m_sizeW);
}
};
} // end namespace internal
template<typename Lhs, typename Rhs>
class GeneralProduct<Lhs, Rhs, GemmProduct>
: public ProductBase<GeneralProduct<Lhs,Rhs,GemmProduct>, Lhs, Rhs>
{
enum {
MaxDepthAtCompileTime = EIGEN_SIZE_MIN_PREFER_FIXED(Lhs::MaxColsAtCompileTime,Rhs::MaxRowsAtCompileTime)
};
public:
EIGEN_PRODUCT_PUBLIC_INTERFACE(GeneralProduct)
typedef typename Lhs::Scalar LhsScalar;
typedef typename Rhs::Scalar RhsScalar;
typedef Scalar ResScalar;
GeneralProduct(const Lhs& lhs, const Rhs& rhs) : Base(lhs,rhs)
{
typedef internal::scalar_product_op<LhsScalar,RhsScalar> BinOp;
EIGEN_CHECK_BINARY_COMPATIBILIY(BinOp,LhsScalar,RhsScalar);
}
template<typename Dest> void scaleAndAddTo(Dest& dst, Scalar alpha) const
{
eigen_assert(dst.rows()==m_lhs.rows() && dst.cols()==m_rhs.cols());
typename internal::add_const_on_value_type<ActualLhsType>::type lhs = LhsBlasTraits::extract(m_lhs);
typename internal::add_const_on_value_type<ActualRhsType>::type rhs = RhsBlasTraits::extract(m_rhs);
Scalar actualAlpha = alpha * LhsBlasTraits::extractScalarFactor(m_lhs)
* RhsBlasTraits::extractScalarFactor(m_rhs);
typedef internal::gemm_blocking_space<(Dest::Flags&RowMajorBit) ? RowMajor : ColMajor,LhsScalar,RhsScalar,
Dest::MaxRowsAtCompileTime,Dest::MaxColsAtCompileTime,MaxDepthAtCompileTime> BlockingType;
typedef internal::gemm_functor<
Scalar, Index,
internal::general_matrix_matrix_product<
Index,
LhsScalar, (_ActualLhsType::Flags&RowMajorBit) ? RowMajor : ColMajor, bool(LhsBlasTraits::NeedToConjugate),
RhsScalar, (_ActualRhsType::Flags&RowMajorBit) ? RowMajor : ColMajor, bool(RhsBlasTraits::NeedToConjugate),
(Dest::Flags&RowMajorBit) ? RowMajor : ColMajor>,
_ActualLhsType, _ActualRhsType, Dest, BlockingType> GemmFunctor;
BlockingType blocking(dst.rows(), dst.cols(), lhs.cols());
internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>(GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), this->rows(), this->cols(), Dest::Flags&RowMajorBit);
}
};
} // end namespace Eigen
#endif // EIGEN_GENERAL_MATRIX_MATRIX_H
|
infectious_test.c | /* For license: see LICENSE.txt file at top-level */
#include <assert.h>
#include <stdlib.h>
#include <stdio.h>
#include <shmem.h>
#include <math.h>
#include <string.h>
#include <hoover.h>
#ifdef MULTITHREADED
#include <omp.h>
#include <shmemx.h>
#endif
#define TIME_STEP 0
#define ACTOR_ID 1
#define PX 2
#define PY 3
#define INFECTED 4
#define DST_X 5
#define DST_Y 6
#define NEXT_CREATED 7
#define NEXT_ID 8
#define PREV_IS_INFECTED 9
#define PREV_PX 10
#define PREV_PY 11
#define PORTAL_CAPTURE_RADIUS 5.0
#define PE_ROW(this_pe) ((this_pe) / n_cells_x)
#define PE_COL(this_pe) ((this_pe) % n_cells_x)
#define PE_ROW_CELL_START(this_pe) ((double)PE_ROW(this_pe) * cell_dim_y)
#define PE_COL_CELL_START(this_pe) ((double)PE_COL(this_pe) * cell_dim_x)
#define CELL_ROW(y_coord) ((y_coord) / cell_dim_y)
#define CELL_COL(x_coord) ((x_coord) / cell_dim_x)
#define CELL_INDEX(cell_row, cell_col) ((cell_row) * n_cells_x + (cell_col))
int max_modeled_timestep = 0;
size_t n_local_actors = 0;
uint64_t total_n_actors = 0;
static unsigned n_time_partition = 0;
static unsigned n_y_partition = 0;
static unsigned n_x_partition = 0;
#ifdef MULTITHREADED
static int nthreads = 1;
#endif
typedef struct _portal_t {
int pes[2];
struct {
double x, y;
} locations[2];
} portal_t;
static int npes, pe;
static int n_cells_y, n_cells_x;
static double cell_dim_y;
static double cell_dim_x;
static double infection_radius;
static int max_num_timesteps;
/*
* Construct a 2D grid, with one grid cell per PE. Build connections between
* cells, having each cell connected to all eight neighbor cells plus some
* randomly added long distance interactions.
*
* Inside of each cell of the 2D grid, generate a random number of actors that
* perform random walks on the whole grid (possibly jumping to other cells) and
* infect each other if within certain distances.
*/
long long p_wrk[SHMEM_REDUCE_MIN_WRKDATA_SIZE];
int int_p_wrk[SHMEM_REDUCE_MIN_WRKDATA_SIZE];
long p_sync[SHMEM_REDUCE_SYNC_SIZE];
static double distance(double x1, double y1, double x2, double y2) {
double deltax = x2 - x1;
double deltay = y2 - y1;
return sqrt((deltay * deltay) + (deltax * deltax));
}
hvr_edge_type_t should_have_edge(const hvr_vertex_t *base,
const hvr_vertex_t *neighbor, hvr_ctx_t ctx) {
int base_time = (int)hvr_vertex_get(TIME_STEP, base, ctx);
int neighbor_time = (int)hvr_vertex_get(TIME_STEP, neighbor, ctx);
if (abs(base_time - neighbor_time) == 1) {
double deltax = hvr_vertex_get(PREV_PX, neighbor, ctx) -
hvr_vertex_get(PREV_PX, base, ctx);
double deltay = hvr_vertex_get(PREV_PY, neighbor, ctx) -
hvr_vertex_get(PREV_PY, base, ctx);
if (sqrt(deltax * deltax + deltay * deltay) <= infection_radius) {
return (base_time < neighbor_time) ? DIRECTED_OUT : DIRECTED_IN;
}
}
return NO_EDGE;
}
hvr_partition_t actor_to_partition(const hvr_vertex_t *actor, hvr_ctx_t ctx) {
const double timestep = hvr_vertex_get(TIME_STEP, actor, ctx);
const double y = hvr_vertex_get(PREV_PY, actor, ctx);
const double x = hvr_vertex_get(PREV_PX, actor, ctx);
const double global_y_dim = (double)n_cells_y * cell_dim_y;
const double global_x_dim = (double)n_cells_x * cell_dim_x;
assert((int)timestep < max_num_timesteps);
assert(x < global_x_dim);
assert(y < global_y_dim);
const double partition_time_step = (double)max_num_timesteps /
(double)n_time_partition;
const double partition_y_dim = global_y_dim / (double)n_y_partition;
const double partition_x_dim = global_x_dim / (double)n_x_partition;
const hvr_partition_t time_step_partition = (hvr_partition_t)(timestep /
partition_time_step);
const hvr_partition_t y_partition = (hvr_partition_t)(y / partition_y_dim);
const hvr_partition_t x_partition = (hvr_partition_t)(x / partition_x_dim);
assert(time_step_partition < n_time_partition);
assert(x_partition < n_x_partition);
assert(y_partition < n_y_partition);
return time_step_partition * n_y_partition * n_x_partition +
y_partition * n_x_partition + x_partition;
}
static void compute_next_pos(double p_x, double p_y,
double dst_x, double dst_y,
double *next_p_x, double *next_p_y) {
if (fabs(p_x - dst_x) < 1e-9 || fabs(p_y - dst_y) < 1e-9) {
/*
* Seem to have reached destination, set new destination and start
* moving there.
*/
p_x = dst_x;
p_y = dst_y;
}
double vx = dst_x - p_x;
double vy = dst_y - p_y;
const double mag = 5.0 * distance(p_x, p_y, dst_x, dst_y);
const double normalized_vx = vx / mag;
const double normalized_vy = vy / mag;
if (fabs(vx) > fabs(normalized_vx)) vx = normalized_vx;
if (fabs(vy) > fabs(normalized_vy)) vy = normalized_vy;
double new_x = p_x + vx;
double new_y = p_y + vy;
const double global_x_dim = (double)n_cells_x * cell_dim_x;
const double global_y_dim = (double)n_cells_y * cell_dim_y;
if (new_x >= global_x_dim) new_x -= global_x_dim;
if (new_y >= global_y_dim) new_y -= global_y_dim;
if (new_x < 0.0) new_x += global_x_dim;
if (new_y < 0.0) new_y += global_y_dim;
assert(new_x >= 0.0 && new_x < global_x_dim);
assert(new_y >= 0.0 && new_y < global_y_dim);
*next_p_x = new_x;
*next_p_y = new_y;
}
void update_vertex(hvr_vertex_t *vertex, hvr_set_t *couple_with,
hvr_ctx_t ctx) {
const unsigned actor_id = (unsigned)hvr_vertex_get(ACTOR_ID, vertex, ctx);
const unsigned timestep = (unsigned)hvr_vertex_get(TIME_STEP, vertex, ctx);
hvr_vertex_t **verts;
hvr_edge_type_t *dirs;
int n_neighbors = hvr_get_neighbors(vertex, &verts, &dirs, ctx);
hvr_vertex_t prev;
int have_msg = hvr_poll_msg(vertex, &prev, ctx);
if (have_msg) {
// Messages are sorted most recent to least recent
assert((int)hvr_vertex_get(TIME_STEP, &prev, ctx) == timestep - 1);
assert((int)hvr_vertex_get(ACTOR_ID, &prev, ctx) == actor_id);
assert(hvr_vertex_get(PX, &prev, ctx) ==
hvr_vertex_get(PREV_PX, vertex, ctx));
assert(hvr_vertex_get(PY, &prev, ctx) ==
hvr_vertex_get(PREV_PY, vertex, ctx));
hvr_vertex_set(PREV_IS_INFECTED, hvr_vertex_get(INFECTED, &prev, ctx),
vertex, ctx);
// Flush less recent messages to this vertex
do {
have_msg = hvr_poll_msg(vertex, &prev, ctx);
} while (have_msg);
}
int is_infected = (int)hvr_vertex_get(PREV_IS_INFECTED, vertex, ctx);
for (int i = 0; i < n_neighbors && !is_infected; i++) {
if (dirs[i] == DIRECTED_IN) {
hvr_vertex_t *neighbor = verts[i];
assert((int)hvr_vertex_get(TIME_STEP, neighbor, ctx) ==
timestep - 1);
if (hvr_vertex_get(INFECTED, neighbor, ctx)) {
const int infected_by = hvr_vertex_get_owning_pe(neighbor);
hvr_set_insert(infected_by, couple_with);
is_infected = 1;
}
}
}
hvr_vertex_set(INFECTED, is_infected, vertex, ctx);
if (timestep < max_num_timesteps - 1) {
if (hvr_vertex_get(NEXT_CREATED, vertex, ctx) == 0) {
// Add a next
hvr_vertex_t *next = hvr_vertex_create(ctx);
double x = hvr_vertex_get(PX, vertex, ctx);
double y = hvr_vertex_get(PY, vertex, ctx);
double dst_x = hvr_vertex_get(DST_X, vertex, ctx);
double dst_y = hvr_vertex_get(DST_Y, vertex, ctx);
int next_timestep = timestep + 1;
if (next_timestep > max_modeled_timestep) {
max_modeled_timestep = next_timestep;
}
double new_x, new_y;
compute_next_pos(x, y, dst_x, dst_y, &new_x, &new_y);
hvr_vertex_set(TIME_STEP, next_timestep, next, ctx);
hvr_vertex_set(ACTOR_ID, actor_id, next, ctx);
hvr_vertex_set(PX, new_x, next, ctx);
hvr_vertex_set(PY, new_y, next, ctx);
hvr_vertex_set(INFECTED, is_infected, next, ctx);
hvr_vertex_set(DST_X, dst_x, next, ctx);
hvr_vertex_set(DST_Y, dst_y, next, ctx);
hvr_vertex_set(NEXT_CREATED, 0, next, ctx);
hvr_vertex_set(NEXT_ID, 0, next, ctx);
hvr_vertex_set(PREV_IS_INFECTED, is_infected, next, ctx);
hvr_vertex_set(PREV_PX, x, next, ctx);
hvr_vertex_set(PREV_PY, y, next, ctx);
hvr_vertex_set(NEXT_CREATED, 1, vertex, ctx);
hvr_vertex_set_uint64(NEXT_ID, next->id, vertex, ctx);
}
hvr_send_msg(hvr_vertex_get_uint64(NEXT_ID, vertex, ctx), vertex, ctx);
}
}
/*
* Callback used to check if this PE might interact with another PE.
*
* If partition is neighboring any partition in partitions, they might
* interact.
*/
void might_interact(const hvr_partition_t partition,
hvr_partition_t *interacting_partitions,
unsigned *n_interacting_partitions,
unsigned interacting_partitions_capacity,
hvr_ctx_t ctx) {
assert(partition != HVR_INVALID_PARTITION);
// The global dimensions of the full simulation space
const double global_x_dim = (double)n_cells_x * cell_dim_x;
const double global_y_dim = (double)n_cells_y * cell_dim_y;
// Dimension of each partition in the row, column, time directions
double y_dim = global_y_dim / (double)n_y_partition;
double x_dim = global_x_dim / (double)n_x_partition;
double time_dim = (double)max_num_timesteps / (double)n_time_partition;
/*
* For the given partition, the (time, row, column) coordinate of this
* partition in a 2D space.
*/
unsigned partition_time = partition / (n_y_partition * n_x_partition);
unsigned partition_y = (partition / n_x_partition) % n_y_partition;
unsigned partition_x = partition % n_x_partition;
// Get bounding box of partition in the grid coordinate system
double min_y = (double)partition_y * y_dim;
double max_y = min_y + y_dim;
double min_x = (double)partition_x * x_dim;
double max_x = min_x + x_dim;
double min_time = (double)partition_time * time_dim;
double max_time = min_time + time_dim;
/*
* Expand partition bounding box to include any possible points within
* infection_radius distance.
*/
min_time -= 1; // Only interact with previous and next timesteps
max_time += 1;
min_y -= infection_radius;
max_y += infection_radius;
min_x -= infection_radius;
max_x += infection_radius;
int min_partition_y, min_partition_x, max_partition_y,
max_partition_x, min_partition_time, max_partition_time;
if (min_y < 0.0) min_partition_y = 0;
else min_partition_y = (int)(min_y / y_dim);
if (min_x < 0.0) min_partition_x = 0;
else min_partition_x = (int)(min_x / x_dim);
if (min_time < 0.0) min_partition_time = 0;
else min_partition_time = (int)(min_time / time_dim);
if (max_y >= (double)global_y_dim) max_partition_y = n_y_partition - 1;
else max_partition_y = (int)(max_y / y_dim);
if (max_x >= (double)global_x_dim) max_partition_x = n_x_partition - 1;
else max_partition_x = (int)(max_x / x_dim);
if (max_time >= (double)max_num_timesteps) max_partition_time =
n_time_partition - 1;
else max_partition_time = (int)(max_time / time_dim);
assert(min_partition_y <= max_partition_y);
assert(min_partition_x <= max_partition_x);
assert(min_partition_time <= max_partition_time);
unsigned count_interacting_partitions = 0;
for (unsigned t = min_partition_time; t <= max_partition_time; t++) {
for (unsigned r = min_partition_y; r <= max_partition_y; r++) {
for (unsigned c = min_partition_x; c <= max_partition_x; c++) {
const unsigned part = t * n_y_partition * n_x_partition +
r * n_x_partition + c;
if (count_interacting_partitions >= interacting_partitions_capacity) {
fprintf(stderr, "time = (%d, %d) y = (%d, %d) x = (%d, %d) "
"current count = %u, capacity = %u\n",
min_partition_time, max_partition_time,
min_partition_y, max_partition_y,
min_partition_x, max_partition_x,
count_interacting_partitions,
interacting_partitions_capacity);
abort();
}
interacting_partitions[count_interacting_partitions++] = part;
}
}
}
*n_interacting_partitions = count_interacting_partitions;
}
/*
* Callback used by the HOOVER runtime to check if this PE can abort out of the
* simulation.
*/
void update_coupled_val(hvr_vertex_iter_t *iter, hvr_ctx_t ctx,
hvr_vertex_t *out_coupled_metric) {
// Abort if all of my member vertices are infected
size_t nset = 0;
hvr_vertex_t *vert = hvr_vertex_iter_next(iter);
while (vert) {
if ((int)hvr_vertex_get(TIME_STEP, vert, ctx) == max_num_timesteps - 1) {
if (hvr_vertex_get(INFECTED, vert, ctx) > 0.0) {
nset++;
}
}
vert = hvr_vertex_iter_next(iter);
}
hvr_vertex_set(0, (double)nset, out_coupled_metric, ctx);
hvr_vertex_set(1, (double)n_local_actors, out_coupled_metric, ctx);
}
int should_terminate(hvr_vertex_iter_t *iter, hvr_ctx_t ctx,
hvr_vertex_t *local_coupled_metric, // coupled_pes[shmem_my_pe()]
hvr_vertex_t *all_coupled_metrics, // Each PE's val
hvr_vertex_t *global_coupled_metric, // Sum reduction of coupled_pes
hvr_set_t *coupled_pes, // An array of size npes, with each PE's val
int n_coupled_pes,
int *updates_on_this_iter, // An array of size npes, the number of vertex updates done on each coupled PE
hvr_set_t *terminated_coupled_pes) {
int sum_updates = 0;
for (int i = 0; i < ctx->npes; i++) {
sum_updates += updates_on_this_iter[i];
}
unsigned local_nset = (unsigned)hvr_vertex_get(0, local_coupled_metric,
ctx);
unsigned global_nset = (unsigned)hvr_vertex_get(0,
global_coupled_metric, ctx);
unsigned global_nverts = (unsigned)hvr_vertex_get(1,
global_coupled_metric, ctx);
if (local_nset > 0) {
printf("PE %d - iter %lu - local set %u / %lu (%.2f%%)- # coupled = %d "
"- global set %u / %u (%.2f%%) - %u vertex updates globally\n",
pe,
(uint64_t)ctx->iter,
local_nset, n_local_actors,
100.0 * (double)local_nset / (double)n_local_actors,
n_coupled_pes,
global_nset,
global_nverts,
100.0 * (double)global_nset / (double)global_nverts,
sum_updates);
}
int aborting = 0;
if (n_coupled_pes == ctx->npes) {
if (sum_updates == 0) {
int ninfected = (int)hvr_vertex_get(0, local_coupled_metric, ctx);
double percent_infected = (double)ninfected /
(double)n_local_actors;
double global_percent_infected = 100.0 * (double)global_nset /
(double)global_nverts;
printf("PE %d leaving the simulation, %% local infected = %f "
"(%d / %lu), %% global infected = %f (%u / %u)\n",
shmem_my_pe(),
100.0 * percent_infected,
ninfected, n_local_actors,
global_percent_infected, global_nset, global_nverts);
aborting = 1;
}
}
return aborting;
}
static int safe_fread(double *buf, size_t n_to_read, FILE *fp) {
size_t err = fread(buf, sizeof(*buf), n_to_read, fp);
if (err == n_to_read) return 1;
else {
assert(feof(fp));
return 0;
}
}
int main(int argc, char **argv) {
hvr_ctx_t hvr_ctx;
if (argc != 11) {
fprintf(stderr, "usage: %s <cell-dim-y> <cell-dim-x> "
"<n-cells-y> <n-cells-x> "
"<max-num-timesteps> <infection-radius> "
"<time-limit> <input-file> <y-partitions> <x-partitions>\n",
argv[0]);
return 1;
}
cell_dim_y = atof(argv[1]);
cell_dim_x = atof(argv[2]);
n_cells_y = atoi(argv[3]);
n_cells_x = atoi(argv[4]);
max_num_timesteps = atoi(argv[5]);
infection_radius = atof(argv[6]);
int time_limit = atoi(argv[7]);
char *input_filename = argv[8];
n_time_partition = max_num_timesteps;
n_y_partition = atoi(argv[9]);
n_x_partition = atoi(argv[10]);
hvr_partition_t npartitions = n_time_partition * n_y_partition *
n_x_partition;
#ifdef MULTITHREADED
#pragma omp parallel
#pragma omp single
nthreads = omp_get_num_threads();
#endif
const double global_x_dim = (double)n_cells_x * cell_dim_x;
const double global_y_dim = (double)n_cells_y * cell_dim_y;
for (int i = 0; i < SHMEM_REDUCE_SYNC_SIZE; i++) {
p_sync[i] = SHMEM_SYNC_VALUE;
}
#ifdef MULTITHREADED
int provided = shmemx_init_thread(SHMEM_THREAD_MULTIPLE);
assert(provided == SHMEM_THREAD_MULTIPLE);
#else
shmem_init();
#endif
pe = shmem_my_pe();
npes = shmem_n_pes();
if (pe == 0) {
fprintf(stderr, "Running with %d PEs\n", npes);
#ifdef MULTITHREADED
fprintf(stderr, "Running with %d OMP threads\n", nthreads);
#endif
}
assert(npes == n_cells_y * n_cells_x);
hvr_ctx_create(&hvr_ctx);
const double my_cell_start_x = PE_COL_CELL_START(pe);
const double my_cell_end_x = my_cell_start_x + cell_dim_x;
const double my_cell_start_y = PE_ROW_CELL_START(pe);
const double my_cell_end_y = my_cell_start_y + cell_dim_y;
// unsigned long long start_count_local = hvr_current_time_us();
FILE *input = fopen(input_filename, "rb");
assert(input);
/*
* 0: actor id
* 1: px
* 2: py
* 3: dst_x
* 4: dst_y
* 5: infected
*/
double buf[6];
while (safe_fread(buf, 6, input)) {
if (buf[1] >= my_cell_start_x && buf[1] < my_cell_end_x &&
buf[2] >= my_cell_start_y && buf[2] < my_cell_end_y) {
n_local_actors++;
}
}
fclose(input);
// unsigned long long elapsed_count_local = hvr_current_time_us() -
// start_count_local;
// fprintf(stderr, "PE %d took %f ms to count local, %lu local actors\n", pe,
// (double)elapsed_count_local / 1000.0, n_local_actors);
// unsigned long long start_pop_local = hvr_current_time_us();
size_t index = 0;
input = fopen(input_filename, "rb");
while (safe_fread(buf, 6, input)) {
if (buf[1] >= my_cell_start_x && buf[1] < my_cell_end_x &&
buf[2] >= my_cell_start_y && buf[2] < my_cell_end_y) {
hvr_vertex_t *actor = hvr_vertex_create(hvr_ctx);
double actor_id = buf[0];
double x = buf[1];
double y = buf[2];
double dst_x = buf[3];
double dst_y = buf[4];
double infected = buf[5];
if (infected > 0.0) {
fprintf(stderr, "PE %d - actor %lu infected\n", pe,
(unsigned long)actor_id);
}
hvr_vertex_set(TIME_STEP, 0, actor, hvr_ctx);
hvr_vertex_set(ACTOR_ID, actor_id, actor, hvr_ctx);
hvr_vertex_set(PX, x, actor, hvr_ctx);
hvr_vertex_set(PY, y, actor, hvr_ctx);
hvr_vertex_set(INFECTED, infected, actor, hvr_ctx);
hvr_vertex_set(DST_X, dst_x, actor, hvr_ctx);
hvr_vertex_set(DST_Y, dst_y, actor, hvr_ctx);
hvr_vertex_set(NEXT_CREATED, 0, actor, hvr_ctx);
hvr_vertex_set(NEXT_ID, 0, actor, hvr_ctx);
hvr_vertex_set(PREV_IS_INFECTED, infected, actor, hvr_ctx);
hvr_vertex_set(PREV_PX, x, actor, hvr_ctx);
hvr_vertex_set(PREV_PY, y, actor, hvr_ctx);
index++;
}
}
assert(index == n_local_actors);
fclose(input);
size_t *actors_per_pe = (size_t *)shmem_malloc(npes * sizeof(*actors_per_pe));
assert(actors_per_pe);
for (int p = 0; p < npes; p++) {
shmem_putmem(actors_per_pe + pe, &n_local_actors,
sizeof(n_local_actors), p);
}
shmem_barrier_all();
for (int p = 0; p < npes; p++) {
total_n_actors += actors_per_pe[p];
}
// unsigned long long elapsed_pop_local = hvr_current_time_us() -
// start_pop_local;
// fprintf(stderr, "PE %d took %f ms to populate local\n", pe,
// (double)elapsed_pop_local / 1000.0);
if (pe == 0) {
fprintf(stderr, "Running for at most %d seconds\n", time_limit);
fprintf(stderr, "Using %u partitions (%u time partitions * %u y "
"partitions * %u x partitions)\n", npartitions,
n_time_partition, n_y_partition, n_x_partition);
fprintf(stderr, "Loading input from %s\n", input_filename);
fprintf(stderr, "~%lu actors per PE x %d PEs x %u timesteps = %lu "
"vertices across all PEs (~%f vertices per PE)\n",
n_local_actors,
npes,
max_num_timesteps,
total_n_actors * max_num_timesteps,
(double)(total_n_actors * max_num_timesteps) / (double)npes);
fprintf(stderr, "%d timesteps, y=%f x x=%f grid\n", max_num_timesteps,
global_y_dim, global_x_dim);
}
shmem_barrier_all();
hvr_init(npartitions,
update_vertex,
might_interact,
update_coupled_val,
actor_to_partition,
NULL, // start_time_step
should_have_edge,
should_terminate,
time_limit, // max_elapsed_seconds
1, // max_graph_traverse_depth
hvr_ctx);
const long long start_time = hvr_current_time_us();
hvr_body(hvr_ctx);
const long long elapsed_time = hvr_current_time_us() - start_time;
long long *elapsed_times = (long long *)shmem_malloc(
npes * sizeof(*elapsed_times));
assert(elapsed_times);
shmem_longlong_put(elapsed_times + pe, &elapsed_time, 1, 0);
shmem_barrier_all();
long long total_time = 0;
for (int p = 0; p < npes; p++) {
total_time += elapsed_times[p];
}
long long max_elapsed = 0;
for (int p = 0; p < npes; p++) {
if (elapsed_times[p] > max_elapsed) {
max_elapsed = elapsed_times[p];
}
}
uint64_t *msgs_sent = (uint64_t *)shmem_malloc(
npes * sizeof(*msgs_sent));
assert(msgs_sent);
uint64_t *msgs_recv = (uint64_t *)shmem_malloc(
npes * sizeof(*msgs_recv));
assert(msgs_recv);
int *modeled_timesteps = (int *)shmem_malloc(
npes * sizeof(*modeled_timesteps));
assert(modeled_timesteps);
shmem_int_put(modeled_timesteps + pe, &max_modeled_timestep, 1, 0);
shmem_uint64_put(msgs_sent + pe, &(hvr_ctx->total_vertex_msgs_sent), 1, 0);
shmem_uint64_put(msgs_recv + pe, &(hvr_ctx->total_vertex_msgs_recvd), 1, 0);
shmem_barrier_all();
uint64_t total_msgs_sent = msgs_sent[0];
uint64_t total_msgs_recv = msgs_recv[0];
int all_max_modeled_timestep = modeled_timesteps[0];
for (int p = 1; p < npes; p++) {
if (modeled_timesteps[p] < all_max_modeled_timestep) {
all_max_modeled_timestep = modeled_timesteps[p];
}
total_msgs_sent += msgs_sent[p];
total_msgs_recv += msgs_recv[p];
}
if (pe == 0) {
printf("%d PEs, %d timesteps, infection radius of %f, total CPU time = "
"%f ms, max elapsed = %f ms, ~%lu actors per PE, completed %d "
"iters\n", npes, max_num_timesteps, infection_radius,
(double)total_time / 1000.0, (double)max_elapsed / 1000.0,
n_local_actors, hvr_ctx->iter);
printf("In total %lu msgs sent, %lu msgs received\n", total_msgs_sent,
total_msgs_recv);
printf("Max modeled timestep across all PEs = %d, # vertices on PE 0 = "
"%lu\n", all_max_modeled_timestep, hvr_n_local_vertices(hvr_ctx));
for (int p = 0; p < npes; p++) {
printf(" PE %d got to timestep %d\n", p, modeled_timesteps[p]);
}
}
hvr_finalize(hvr_ctx);
shmem_finalize();
return 0;
}
|
convolution_5x5_pack4.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 conv5x5s1_pack4_neon(const Mat& bottom_blob, Mat& top_blob, const Mat& kernel, const Mat& _bias, const Option& opt)
{
int inch = bottom_blob.c;
int outw = top_blob.w;
int outh = top_blob.h;
int outch = top_blob.c;
const float* bias = _bias;
#pragma omp parallel for num_threads(opt.num_threads)
for (int p = 0; p < outch; p++)
{
Mat out0 = top_blob.channel(p);
float32x4_t _bias0 = bias ? vld1q_f32((const float*)bias + p * 4) : vdupq_n_f32(0.f);
out0.fill(_bias0);
for (int q = 0; q < inch; q++)
{
float* outptr0 = out0.row(0);
const Mat img0 = bottom_blob.channel(q);
const float* r0 = img0.row(0);
const float* r1 = img0.row(1);
const float* r2 = img0.row(2);
const float* r3 = img0.row(3);
const float* r4 = img0.row(4);
const float* kptr = (const float*)kernel.channel(p).row(q);
int i = 0;
for (; i < outh; i++)
{
int j = 0;
for (; j + 3 < outw; j += 4)
{
#if __aarch64__
asm volatile(
"prfm pldl1keep, [%0, #512] \n"
"ld1 {v20.4s, v21.4s, v22.4s, v23.4s}, [%0] \n" // sum0 sum1 sum2 sum3
"prfm pldl1keep, [%1, #512] \n"
"ld1 {v0.4s, v1.4s, v2.4s, v3.4s}, [%1], #64 \n" // r00 r01 r02 r03
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v20.4s, v16.4s, v0.s[0] \n"
"fmla v21.4s, v16.4s, v1.s[0] \n"
"fmla v22.4s, v16.4s, v2.s[0] \n"
"fmla v23.4s, v16.4s, v3.s[0] \n"
"fmla v20.4s, v17.4s, v0.s[1] \n"
"fmla v21.4s, v17.4s, v1.s[1] \n"
"fmla v22.4s, v17.4s, v2.s[1] \n"
"fmla v23.4s, v17.4s, v3.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v20.4s, v18.4s, v0.s[2] \n"
"fmla v21.4s, v18.4s, v1.s[2] \n"
"fmla v22.4s, v18.4s, v2.s[2] \n"
"fmla v23.4s, v18.4s, v3.s[2] \n"
"fmla v20.4s, v19.4s, v0.s[3] \n"
"fmla v21.4s, v19.4s, v1.s[3] \n"
"fmla v22.4s, v19.4s, v2.s[3] \n"
"fmla v23.4s, v19.4s, v3.s[3] \n"
"prfm pldl1keep, [%1, #512] \n"
"ld1 {v4.4s, v5.4s, v6.4s, v7.4s}, [%1] \n" // r04 r05 r06 r07
"fmla v20.4s, v24.4s, v1.s[0] \n"
"fmla v21.4s, v24.4s, v2.s[0] \n"
"fmla v22.4s, v24.4s, v3.s[0] \n"
"fmla v23.4s, v24.4s, v4.s[0] \n"
"fmla v20.4s, v25.4s, v1.s[1] \n"
"fmla v21.4s, v25.4s, v2.s[1] \n"
"fmla v22.4s, v25.4s, v3.s[1] \n"
"fmla v23.4s, v25.4s, v4.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v20.4s, v26.4s, v1.s[2] \n"
"fmla v21.4s, v26.4s, v2.s[2] \n"
"fmla v22.4s, v26.4s, v3.s[2] \n"
"fmla v23.4s, v26.4s, v4.s[2] \n"
"fmla v20.4s, v27.4s, v1.s[3] \n"
"fmla v21.4s, v27.4s, v2.s[3] \n"
"fmla v22.4s, v27.4s, v3.s[3] \n"
"fmla v23.4s, v27.4s, v4.s[3] \n"
"fmla v20.4s, v16.4s, v2.s[0] \n"
"fmla v21.4s, v16.4s, v3.s[0] \n"
"fmla v22.4s, v16.4s, v4.s[0] \n"
"fmla v23.4s, v16.4s, v5.s[0] \n"
"fmla v20.4s, v17.4s, v2.s[1] \n"
"fmla v21.4s, v17.4s, v3.s[1] \n"
"fmla v22.4s, v17.4s, v4.s[1] \n"
"fmla v23.4s, v17.4s, v5.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v20.4s, v18.4s, v2.s[2] \n"
"fmla v21.4s, v18.4s, v3.s[2] \n"
"fmla v22.4s, v18.4s, v4.s[2] \n"
"fmla v23.4s, v18.4s, v5.s[2] \n"
"fmla v20.4s, v19.4s, v2.s[3] \n"
"fmla v21.4s, v19.4s, v3.s[3] \n"
"fmla v22.4s, v19.4s, v4.s[3] \n"
"fmla v23.4s, v19.4s, v5.s[3] \n"
"fmla v20.4s, v24.4s, v3.s[0] \n"
"fmla v21.4s, v24.4s, v4.s[0] \n"
"fmla v22.4s, v24.4s, v5.s[0] \n"
"fmla v23.4s, v24.4s, v6.s[0] \n"
"fmla v20.4s, v25.4s, v3.s[1] \n"
"fmla v21.4s, v25.4s, v4.s[1] \n"
"fmla v22.4s, v25.4s, v5.s[1] \n"
"fmla v23.4s, v25.4s, v6.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v20.4s, v26.4s, v3.s[2] \n"
"fmla v21.4s, v26.4s, v4.s[2] \n"
"fmla v22.4s, v26.4s, v5.s[2] \n"
"fmla v23.4s, v26.4s, v6.s[2] \n"
"fmla v20.4s, v27.4s, v3.s[3] \n"
"fmla v21.4s, v27.4s, v4.s[3] \n"
"fmla v22.4s, v27.4s, v5.s[3] \n"
"fmla v23.4s, v27.4s, v6.s[3] \n"
"prfm pldl1keep, [%2, #512] \n"
"ld1 {v0.4s, v1.4s, v2.4s, v3.4s}, [%2], #64 \n" // r10 r11 r12 r13
"fmla v20.4s, v16.4s, v4.s[0] \n"
"fmla v21.4s, v16.4s, v5.s[0] \n"
"fmla v22.4s, v16.4s, v6.s[0] \n"
"fmla v23.4s, v16.4s, v7.s[0] \n"
"fmla v20.4s, v17.4s, v4.s[1] \n"
"fmla v21.4s, v17.4s, v5.s[1] \n"
"fmla v22.4s, v17.4s, v6.s[1] \n"
"fmla v23.4s, v17.4s, v7.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v20.4s, v18.4s, v4.s[2] \n"
"fmla v21.4s, v18.4s, v5.s[2] \n"
"fmla v22.4s, v18.4s, v6.s[2] \n"
"fmla v23.4s, v18.4s, v7.s[2] \n"
"fmla v20.4s, v19.4s, v4.s[3] \n"
"fmla v21.4s, v19.4s, v5.s[3] \n"
"fmla v22.4s, v19.4s, v6.s[3] \n"
"fmla v23.4s, v19.4s, v7.s[3] \n"
"fmla v20.4s, v24.4s, v0.s[0] \n"
"fmla v21.4s, v24.4s, v1.s[0] \n"
"fmla v22.4s, v24.4s, v2.s[0] \n"
"fmla v23.4s, v24.4s, v3.s[0] \n"
"fmla v20.4s, v25.4s, v0.s[1] \n"
"fmla v21.4s, v25.4s, v1.s[1] \n"
"fmla v22.4s, v25.4s, v2.s[1] \n"
"fmla v23.4s, v25.4s, v3.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v20.4s, v26.4s, v0.s[2] \n"
"fmla v21.4s, v26.4s, v1.s[2] \n"
"fmla v22.4s, v26.4s, v2.s[2] \n"
"fmla v23.4s, v26.4s, v3.s[2] \n"
"fmla v20.4s, v27.4s, v0.s[3] \n"
"fmla v21.4s, v27.4s, v1.s[3] \n"
"fmla v22.4s, v27.4s, v2.s[3] \n"
"fmla v23.4s, v27.4s, v3.s[3] \n"
"prfm pldl1keep, [%2, #512] \n"
"ld1 {v4.4s, v5.4s, v6.4s, v7.4s}, [%2] \n" // r14 r15 r16 r17
"fmla v20.4s, v16.4s, v1.s[0] \n"
"fmla v21.4s, v16.4s, v2.s[0] \n"
"fmla v22.4s, v16.4s, v3.s[0] \n"
"fmla v23.4s, v16.4s, v4.s[0] \n"
"fmla v20.4s, v17.4s, v1.s[1] \n"
"fmla v21.4s, v17.4s, v2.s[1] \n"
"fmla v22.4s, v17.4s, v3.s[1] \n"
"fmla v23.4s, v17.4s, v4.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v20.4s, v18.4s, v1.s[2] \n"
"fmla v21.4s, v18.4s, v2.s[2] \n"
"fmla v22.4s, v18.4s, v3.s[2] \n"
"fmla v23.4s, v18.4s, v4.s[2] \n"
"fmla v20.4s, v19.4s, v1.s[3] \n"
"fmla v21.4s, v19.4s, v2.s[3] \n"
"fmla v22.4s, v19.4s, v3.s[3] \n"
"fmla v23.4s, v19.4s, v4.s[3] \n"
"fmla v20.4s, v24.4s, v2.s[0] \n"
"fmla v21.4s, v24.4s, v3.s[0] \n"
"fmla v22.4s, v24.4s, v4.s[0] \n"
"fmla v23.4s, v24.4s, v5.s[0] \n"
"fmla v20.4s, v25.4s, v2.s[1] \n"
"fmla v21.4s, v25.4s, v3.s[1] \n"
"fmla v22.4s, v25.4s, v4.s[1] \n"
"fmla v23.4s, v25.4s, v5.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v20.4s, v26.4s, v2.s[2] \n"
"fmla v21.4s, v26.4s, v3.s[2] \n"
"fmla v22.4s, v26.4s, v4.s[2] \n"
"fmla v23.4s, v26.4s, v5.s[2] \n"
"fmla v20.4s, v27.4s, v2.s[3] \n"
"fmla v21.4s, v27.4s, v3.s[3] \n"
"fmla v22.4s, v27.4s, v4.s[3] \n"
"fmla v23.4s, v27.4s, v5.s[3] \n"
"fmla v20.4s, v16.4s, v3.s[0] \n"
"fmla v21.4s, v16.4s, v4.s[0] \n"
"fmla v22.4s, v16.4s, v5.s[0] \n"
"fmla v23.4s, v16.4s, v6.s[0] \n"
"fmla v20.4s, v17.4s, v3.s[1] \n"
"fmla v21.4s, v17.4s, v4.s[1] \n"
"fmla v22.4s, v17.4s, v5.s[1] \n"
"fmla v23.4s, v17.4s, v6.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v20.4s, v18.4s, v3.s[2] \n"
"fmla v21.4s, v18.4s, v4.s[2] \n"
"fmla v22.4s, v18.4s, v5.s[2] \n"
"fmla v23.4s, v18.4s, v6.s[2] \n"
"fmla v20.4s, v19.4s, v3.s[3] \n"
"fmla v21.4s, v19.4s, v4.s[3] \n"
"fmla v22.4s, v19.4s, v5.s[3] \n"
"fmla v23.4s, v19.4s, v6.s[3] \n"
"prfm pldl1keep, [%3, #512] \n"
"ld1 {v0.4s, v1.4s, v2.4s, v3.4s}, [%3], #64 \n" // r20 r21 r22 r23
"fmla v20.4s, v24.4s, v4.s[0] \n"
"fmla v21.4s, v24.4s, v5.s[0] \n"
"fmla v22.4s, v24.4s, v6.s[0] \n"
"fmla v23.4s, v24.4s, v7.s[0] \n"
"fmla v20.4s, v25.4s, v4.s[1] \n"
"fmla v21.4s, v25.4s, v5.s[1] \n"
"fmla v22.4s, v25.4s, v6.s[1] \n"
"fmla v23.4s, v25.4s, v7.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v20.4s, v26.4s, v4.s[2] \n"
"fmla v21.4s, v26.4s, v5.s[2] \n"
"fmla v22.4s, v26.4s, v6.s[2] \n"
"fmla v23.4s, v26.4s, v7.s[2] \n"
"fmla v20.4s, v27.4s, v4.s[3] \n"
"fmla v21.4s, v27.4s, v5.s[3] \n"
"fmla v22.4s, v27.4s, v6.s[3] \n"
"fmla v23.4s, v27.4s, v7.s[3] \n"
"fmla v20.4s, v16.4s, v0.s[0] \n"
"fmla v21.4s, v16.4s, v1.s[0] \n"
"fmla v22.4s, v16.4s, v2.s[0] \n"
"fmla v23.4s, v16.4s, v3.s[0] \n"
"fmla v20.4s, v17.4s, v0.s[1] \n"
"fmla v21.4s, v17.4s, v1.s[1] \n"
"fmla v22.4s, v17.4s, v2.s[1] \n"
"fmla v23.4s, v17.4s, v3.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v20.4s, v18.4s, v0.s[2] \n"
"fmla v21.4s, v18.4s, v1.s[2] \n"
"fmla v22.4s, v18.4s, v2.s[2] \n"
"fmla v23.4s, v18.4s, v3.s[2] \n"
"fmla v20.4s, v19.4s, v0.s[3] \n"
"fmla v21.4s, v19.4s, v1.s[3] \n"
"fmla v22.4s, v19.4s, v2.s[3] \n"
"fmla v23.4s, v19.4s, v3.s[3] \n"
"prfm pldl1keep, [%3, #512] \n"
"ld1 {v4.4s, v5.4s, v6.4s, v7.4s}, [%3] \n" // r24 r25 r26 r27
"fmla v20.4s, v24.4s, v1.s[0] \n"
"fmla v21.4s, v24.4s, v2.s[0] \n"
"fmla v22.4s, v24.4s, v3.s[0] \n"
"fmla v23.4s, v24.4s, v4.s[0] \n"
"fmla v20.4s, v25.4s, v1.s[1] \n"
"fmla v21.4s, v25.4s, v2.s[1] \n"
"fmla v22.4s, v25.4s, v3.s[1] \n"
"fmla v23.4s, v25.4s, v4.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v20.4s, v26.4s, v1.s[2] \n"
"fmla v21.4s, v26.4s, v2.s[2] \n"
"fmla v22.4s, v26.4s, v3.s[2] \n"
"fmla v23.4s, v26.4s, v4.s[2] \n"
"fmla v20.4s, v27.4s, v1.s[3] \n"
"fmla v21.4s, v27.4s, v2.s[3] \n"
"fmla v22.4s, v27.4s, v3.s[3] \n"
"fmla v23.4s, v27.4s, v4.s[3] \n"
"fmla v20.4s, v16.4s, v2.s[0] \n"
"fmla v21.4s, v16.4s, v3.s[0] \n"
"fmla v22.4s, v16.4s, v4.s[0] \n"
"fmla v23.4s, v16.4s, v5.s[0] \n"
"fmla v20.4s, v17.4s, v2.s[1] \n"
"fmla v21.4s, v17.4s, v3.s[1] \n"
"fmla v22.4s, v17.4s, v4.s[1] \n"
"fmla v23.4s, v17.4s, v5.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v20.4s, v18.4s, v2.s[2] \n"
"fmla v21.4s, v18.4s, v3.s[2] \n"
"fmla v22.4s, v18.4s, v4.s[2] \n"
"fmla v23.4s, v18.4s, v5.s[2] \n"
"fmla v20.4s, v19.4s, v2.s[3] \n"
"fmla v21.4s, v19.4s, v3.s[3] \n"
"fmla v22.4s, v19.4s, v4.s[3] \n"
"fmla v23.4s, v19.4s, v5.s[3] \n"
"fmla v20.4s, v24.4s, v3.s[0] \n"
"fmla v21.4s, v24.4s, v4.s[0] \n"
"fmla v22.4s, v24.4s, v5.s[0] \n"
"fmla v23.4s, v24.4s, v6.s[0] \n"
"fmla v20.4s, v25.4s, v3.s[1] \n"
"fmla v21.4s, v25.4s, v4.s[1] \n"
"fmla v22.4s, v25.4s, v5.s[1] \n"
"fmla v23.4s, v25.4s, v6.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v20.4s, v26.4s, v3.s[2] \n"
"fmla v21.4s, v26.4s, v4.s[2] \n"
"fmla v22.4s, v26.4s, v5.s[2] \n"
"fmla v23.4s, v26.4s, v6.s[2] \n"
"fmla v20.4s, v27.4s, v3.s[3] \n"
"fmla v21.4s, v27.4s, v4.s[3] \n"
"fmla v22.4s, v27.4s, v5.s[3] \n"
"fmla v23.4s, v27.4s, v6.s[3] \n"
"prfm pldl1keep, [%4, #512] \n"
"ld1 {v0.4s, v1.4s, v2.4s, v3.4s}, [%4], #64 \n" // r30 r31 r32 r33
"fmla v20.4s, v16.4s, v4.s[0] \n"
"fmla v21.4s, v16.4s, v5.s[0] \n"
"fmla v22.4s, v16.4s, v6.s[0] \n"
"fmla v23.4s, v16.4s, v7.s[0] \n"
"fmla v20.4s, v17.4s, v4.s[1] \n"
"fmla v21.4s, v17.4s, v5.s[1] \n"
"fmla v22.4s, v17.4s, v6.s[1] \n"
"fmla v23.4s, v17.4s, v7.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v20.4s, v18.4s, v4.s[2] \n"
"fmla v21.4s, v18.4s, v5.s[2] \n"
"fmla v22.4s, v18.4s, v6.s[2] \n"
"fmla v23.4s, v18.4s, v7.s[2] \n"
"fmla v20.4s, v19.4s, v4.s[3] \n"
"fmla v21.4s, v19.4s, v5.s[3] \n"
"fmla v22.4s, v19.4s, v6.s[3] \n"
"fmla v23.4s, v19.4s, v7.s[3] \n"
"fmla v20.4s, v24.4s, v0.s[0] \n"
"fmla v21.4s, v24.4s, v1.s[0] \n"
"fmla v22.4s, v24.4s, v2.s[0] \n"
"fmla v23.4s, v24.4s, v3.s[0] \n"
"fmla v20.4s, v25.4s, v0.s[1] \n"
"fmla v21.4s, v25.4s, v1.s[1] \n"
"fmla v22.4s, v25.4s, v2.s[1] \n"
"fmla v23.4s, v25.4s, v3.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v20.4s, v26.4s, v0.s[2] \n"
"fmla v21.4s, v26.4s, v1.s[2] \n"
"fmla v22.4s, v26.4s, v2.s[2] \n"
"fmla v23.4s, v26.4s, v3.s[2] \n"
"fmla v20.4s, v27.4s, v0.s[3] \n"
"fmla v21.4s, v27.4s, v1.s[3] \n"
"fmla v22.4s, v27.4s, v2.s[3] \n"
"fmla v23.4s, v27.4s, v3.s[3] \n"
"prfm pldl1keep, [%4, #512] \n"
"ld1 {v4.4s, v5.4s, v6.4s, v7.4s}, [%4] \n" // r34 r35 r36 r37
"fmla v20.4s, v16.4s, v1.s[0] \n"
"fmla v21.4s, v16.4s, v2.s[0] \n"
"fmla v22.4s, v16.4s, v3.s[0] \n"
"fmla v23.4s, v16.4s, v4.s[0] \n"
"fmla v20.4s, v17.4s, v1.s[1] \n"
"fmla v21.4s, v17.4s, v2.s[1] \n"
"fmla v22.4s, v17.4s, v3.s[1] \n"
"fmla v23.4s, v17.4s, v4.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v20.4s, v18.4s, v1.s[2] \n"
"fmla v21.4s, v18.4s, v2.s[2] \n"
"fmla v22.4s, v18.4s, v3.s[2] \n"
"fmla v23.4s, v18.4s, v4.s[2] \n"
"fmla v20.4s, v19.4s, v1.s[3] \n"
"fmla v21.4s, v19.4s, v2.s[3] \n"
"fmla v22.4s, v19.4s, v3.s[3] \n"
"fmla v23.4s, v19.4s, v4.s[3] \n"
"fmla v20.4s, v24.4s, v2.s[0] \n"
"fmla v21.4s, v24.4s, v3.s[0] \n"
"fmla v22.4s, v24.4s, v4.s[0] \n"
"fmla v23.4s, v24.4s, v5.s[0] \n"
"fmla v20.4s, v25.4s, v2.s[1] \n"
"fmla v21.4s, v25.4s, v3.s[1] \n"
"fmla v22.4s, v25.4s, v4.s[1] \n"
"fmla v23.4s, v25.4s, v5.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v20.4s, v26.4s, v2.s[2] \n"
"fmla v21.4s, v26.4s, v3.s[2] \n"
"fmla v22.4s, v26.4s, v4.s[2] \n"
"fmla v23.4s, v26.4s, v5.s[2] \n"
"fmla v20.4s, v27.4s, v2.s[3] \n"
"fmla v21.4s, v27.4s, v3.s[3] \n"
"fmla v22.4s, v27.4s, v4.s[3] \n"
"fmla v23.4s, v27.4s, v5.s[3] \n"
"fmla v20.4s, v16.4s, v3.s[0] \n"
"fmla v21.4s, v16.4s, v4.s[0] \n"
"fmla v22.4s, v16.4s, v5.s[0] \n"
"fmla v23.4s, v16.4s, v6.s[0] \n"
"fmla v20.4s, v17.4s, v3.s[1] \n"
"fmla v21.4s, v17.4s, v4.s[1] \n"
"fmla v22.4s, v17.4s, v5.s[1] \n"
"fmla v23.4s, v17.4s, v6.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v20.4s, v18.4s, v3.s[2] \n"
"fmla v21.4s, v18.4s, v4.s[2] \n"
"fmla v22.4s, v18.4s, v5.s[2] \n"
"fmla v23.4s, v18.4s, v6.s[2] \n"
"fmla v20.4s, v19.4s, v3.s[3] \n"
"fmla v21.4s, v19.4s, v4.s[3] \n"
"fmla v22.4s, v19.4s, v5.s[3] \n"
"fmla v23.4s, v19.4s, v6.s[3] \n"
"prfm pldl1keep, [%5, #512] \n"
"ld1 {v0.4s, v1.4s, v2.4s, v3.4s}, [%5], #64 \n" // r40 r41 r42 r43
"fmla v20.4s, v24.4s, v4.s[0] \n"
"fmla v21.4s, v24.4s, v5.s[0] \n"
"fmla v22.4s, v24.4s, v6.s[0] \n"
"fmla v23.4s, v24.4s, v7.s[0] \n"
"fmla v20.4s, v25.4s, v4.s[1] \n"
"fmla v21.4s, v25.4s, v5.s[1] \n"
"fmla v22.4s, v25.4s, v6.s[1] \n"
"fmla v23.4s, v25.4s, v7.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v20.4s, v26.4s, v4.s[2] \n"
"fmla v21.4s, v26.4s, v5.s[2] \n"
"fmla v22.4s, v26.4s, v6.s[2] \n"
"fmla v23.4s, v26.4s, v7.s[2] \n"
"fmla v20.4s, v27.4s, v4.s[3] \n"
"fmla v21.4s, v27.4s, v5.s[3] \n"
"fmla v22.4s, v27.4s, v6.s[3] \n"
"fmla v23.4s, v27.4s, v7.s[3] \n"
"fmla v20.4s, v16.4s, v0.s[0] \n"
"fmla v21.4s, v16.4s, v1.s[0] \n"
"fmla v22.4s, v16.4s, v2.s[0] \n"
"fmla v23.4s, v16.4s, v3.s[0] \n"
"fmla v20.4s, v17.4s, v0.s[1] \n"
"fmla v21.4s, v17.4s, v1.s[1] \n"
"fmla v22.4s, v17.4s, v2.s[1] \n"
"fmla v23.4s, v17.4s, v3.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v20.4s, v18.4s, v0.s[2] \n"
"fmla v21.4s, v18.4s, v1.s[2] \n"
"fmla v22.4s, v18.4s, v2.s[2] \n"
"fmla v23.4s, v18.4s, v3.s[2] \n"
"fmla v20.4s, v19.4s, v0.s[3] \n"
"fmla v21.4s, v19.4s, v1.s[3] \n"
"fmla v22.4s, v19.4s, v2.s[3] \n"
"fmla v23.4s, v19.4s, v3.s[3] \n"
"prfm pldl1keep, [%5, #512] \n"
"ld1 {v4.4s, v5.4s, v6.4s, v7.4s}, [%5] \n" // r44 r45 r46 r47
"fmla v20.4s, v24.4s, v1.s[0] \n"
"fmla v21.4s, v24.4s, v2.s[0] \n"
"fmla v22.4s, v24.4s, v3.s[0] \n"
"fmla v23.4s, v24.4s, v4.s[0] \n"
"fmla v20.4s, v25.4s, v1.s[1] \n"
"fmla v21.4s, v25.4s, v2.s[1] \n"
"fmla v22.4s, v25.4s, v3.s[1] \n"
"fmla v23.4s, v25.4s, v4.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v20.4s, v26.4s, v1.s[2] \n"
"fmla v21.4s, v26.4s, v2.s[2] \n"
"fmla v22.4s, v26.4s, v3.s[2] \n"
"fmla v23.4s, v26.4s, v4.s[2] \n"
"fmla v20.4s, v27.4s, v1.s[3] \n"
"fmla v21.4s, v27.4s, v2.s[3] \n"
"fmla v22.4s, v27.4s, v3.s[3] \n"
"fmla v23.4s, v27.4s, v4.s[3] \n"
"fmla v20.4s, v16.4s, v2.s[0] \n"
"fmla v21.4s, v16.4s, v3.s[0] \n"
"fmla v22.4s, v16.4s, v4.s[0] \n"
"fmla v23.4s, v16.4s, v5.s[0] \n"
"fmla v20.4s, v17.4s, v2.s[1] \n"
"fmla v21.4s, v17.4s, v3.s[1] \n"
"fmla v22.4s, v17.4s, v4.s[1] \n"
"fmla v23.4s, v17.4s, v5.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v20.4s, v18.4s, v2.s[2] \n"
"fmla v21.4s, v18.4s, v3.s[2] \n"
"fmla v22.4s, v18.4s, v4.s[2] \n"
"fmla v23.4s, v18.4s, v5.s[2] \n"
"fmla v20.4s, v19.4s, v2.s[3] \n"
"fmla v21.4s, v19.4s, v3.s[3] \n"
"fmla v22.4s, v19.4s, v4.s[3] \n"
"fmla v23.4s, v19.4s, v5.s[3] \n"
"fmla v20.4s, v24.4s, v3.s[0] \n"
"fmla v21.4s, v24.4s, v4.s[0] \n"
"fmla v22.4s, v24.4s, v5.s[0] \n"
"fmla v23.4s, v24.4s, v6.s[0] \n"
"fmla v20.4s, v25.4s, v3.s[1] \n"
"fmla v21.4s, v25.4s, v4.s[1] \n"
"fmla v22.4s, v25.4s, v5.s[1] \n"
"fmla v23.4s, v25.4s, v6.s[1] \n"
// "prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6] \n"
"fmla v20.4s, v26.4s, v3.s[2] \n"
"fmla v21.4s, v26.4s, v4.s[2] \n"
"fmla v22.4s, v26.4s, v5.s[2] \n"
"fmla v23.4s, v26.4s, v6.s[2] \n"
"fmla v20.4s, v27.4s, v3.s[3] \n"
"fmla v21.4s, v27.4s, v4.s[3] \n"
"fmla v22.4s, v27.4s, v5.s[3] \n"
"fmla v23.4s, v27.4s, v6.s[3] \n"
"fmla v20.4s, v16.4s, v4.s[0] \n"
"fmla v21.4s, v16.4s, v5.s[0] \n"
"fmla v22.4s, v16.4s, v6.s[0] \n"
"fmla v23.4s, v16.4s, v7.s[0] \n"
"fmla v20.4s, v17.4s, v4.s[1] \n"
"fmla v21.4s, v17.4s, v5.s[1] \n"
"fmla v22.4s, v17.4s, v6.s[1] \n"
"fmla v23.4s, v17.4s, v7.s[1] \n"
"fmla v20.4s, v18.4s, v4.s[2] \n"
"fmla v21.4s, v18.4s, v5.s[2] \n"
"fmla v22.4s, v18.4s, v6.s[2] \n"
"fmla v23.4s, v18.4s, v7.s[2] \n"
"fmla v20.4s, v19.4s, v4.s[3] \n"
"fmla v21.4s, v19.4s, v5.s[3] \n"
"fmla v22.4s, v19.4s, v6.s[3] \n"
"fmla v23.4s, v19.4s, v7.s[3] \n"
"sub %6, %6, #1536 \n" // kptr -= 24 * 16;
"st1 {v20.4s, v21.4s, v22.4s, v23.4s}, [%0], #64 \n"
: "=r"(outptr0), // %0
"=r"(r0), // %1
"=r"(r1), // %2
"=r"(r2), // %3
"=r"(r3), // %4
"=r"(r4), // %5
"=r"(kptr) // %6
: "0"(outptr0),
"1"(r0),
"2"(r1),
"3"(r2),
"4"(r3),
"5"(r4),
"6"(kptr)
: "memory", "v0", "v1", "v2", "v3", "v4", "v5", "v6", "v7", "v16", "v17", "v18", "v19", "v20", "v21", "v22", "v23", "v24", "v25", "v26", "v27");
#else // __aarch64__
asm volatile(
"pld [%0, #512] \n"
"vldm %0, {d24-d31} \n" // sum0 sum1 sum2 sum3
"pld [%1, #512] \n"
"vldm %1!, {d0-d7} \n" // r00 r01 r02 r03
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q12, q8, d0[0] \n"
"vmla.f32 q13, q8, d2[0] \n"
"vmla.f32 q14, q8, d4[0] \n"
"vmla.f32 q15, q8, d6[0] \n"
"vmla.f32 q12, q9, d0[1] \n"
"vmla.f32 q13, q9, d2[1] \n"
"vmla.f32 q14, q9, d4[1] \n"
"vmla.f32 q15, q9, d6[1] \n"
"vmla.f32 q12, q10, d1[0] \n"
"vmla.f32 q13, q10, d3[0] \n"
"vmla.f32 q14, q10, d5[0] \n"
"vmla.f32 q15, q10, d7[0] \n"
"vmla.f32 q12, q11, d1[1] \n"
"vmla.f32 q13, q11, d3[1] \n"
"vmla.f32 q14, q11, d5[1] \n"
"vmla.f32 q15, q11, d7[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%1, #512] \n"
"vldm %1, {d8-d15} \n" // r04 r05 r06 r07
"vmla.f32 q12, q8, d2[0] \n"
"vmla.f32 q13, q8, d4[0] \n"
"vmla.f32 q14, q8, d6[0] \n"
"vmla.f32 q15, q8, d8[0] \n"
"vmla.f32 q12, q9, d2[1] \n"
"vmla.f32 q13, q9, d4[1] \n"
"vmla.f32 q14, q9, d6[1] \n"
"vmla.f32 q15, q9, d8[1] \n"
"vmla.f32 q12, q10, d3[0] \n"
"vmla.f32 q13, q10, d5[0] \n"
"vmla.f32 q14, q10, d7[0] \n"
"vmla.f32 q15, q10, d9[0] \n"
"vmla.f32 q12, q11, d3[1] \n"
"vmla.f32 q13, q11, d5[1] \n"
"vmla.f32 q14, q11, d7[1] \n"
"vmla.f32 q15, q11, d9[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q12, q8, d4[0] \n"
"vmla.f32 q13, q8, d6[0] \n"
"vmla.f32 q14, q8, d8[0] \n"
"vmla.f32 q15, q8, d10[0] \n"
"vmla.f32 q12, q9, d4[1] \n"
"vmla.f32 q13, q9, d6[1] \n"
"vmla.f32 q14, q9, d8[1] \n"
"vmla.f32 q15, q9, d10[1] \n"
"vmla.f32 q12, q10, d5[0] \n"
"vmla.f32 q13, q10, d7[0] \n"
"vmla.f32 q14, q10, d9[0] \n"
"vmla.f32 q15, q10, d11[0] \n"
"vmla.f32 q12, q11, d5[1] \n"
"vmla.f32 q13, q11, d7[1] \n"
"vmla.f32 q14, q11, d9[1] \n"
"vmla.f32 q15, q11, d11[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q12, q8, d6[0] \n"
"vmla.f32 q13, q8, d8[0] \n"
"vmla.f32 q14, q8, d10[0] \n"
"vmla.f32 q15, q8, d12[0] \n"
"vmla.f32 q12, q9, d6[1] \n"
"vmla.f32 q13, q9, d8[1] \n"
"vmla.f32 q14, q9, d10[1] \n"
"vmla.f32 q15, q9, d12[1] \n"
"vmla.f32 q12, q10, d7[0] \n"
"vmla.f32 q13, q10, d9[0] \n"
"vmla.f32 q14, q10, d11[0] \n"
"vmla.f32 q15, q10, d13[0] \n"
"vmla.f32 q12, q11, d7[1] \n"
"vmla.f32 q13, q11, d9[1] \n"
"vmla.f32 q14, q11, d11[1] \n"
"vmla.f32 q15, q11, d13[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%2, #512] \n"
"vldm %2!, {d0-d7} \n" // r10 r11 r12 r13
"vmla.f32 q12, q8, d8[0] \n"
"vmla.f32 q13, q8, d10[0] \n"
"vmla.f32 q14, q8, d12[0] \n"
"vmla.f32 q15, q8, d14[0] \n"
"vmla.f32 q12, q9, d8[1] \n"
"vmla.f32 q13, q9, d10[1] \n"
"vmla.f32 q14, q9, d12[1] \n"
"vmla.f32 q15, q9, d14[1] \n"
"vmla.f32 q12, q10, d9[0] \n"
"vmla.f32 q13, q10, d11[0] \n"
"vmla.f32 q14, q10, d13[0] \n"
"vmla.f32 q15, q10, d15[0] \n"
"vmla.f32 q12, q11, d9[1] \n"
"vmla.f32 q13, q11, d11[1] \n"
"vmla.f32 q14, q11, d13[1] \n"
"vmla.f32 q15, q11, d15[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q12, q8, d0[0] \n"
"vmla.f32 q13, q8, d2[0] \n"
"vmla.f32 q14, q8, d4[0] \n"
"vmla.f32 q15, q8, d6[0] \n"
"vmla.f32 q12, q9, d0[1] \n"
"vmla.f32 q13, q9, d2[1] \n"
"vmla.f32 q14, q9, d4[1] \n"
"vmla.f32 q15, q9, d6[1] \n"
"vmla.f32 q12, q10, d1[0] \n"
"vmla.f32 q13, q10, d3[0] \n"
"vmla.f32 q14, q10, d5[0] \n"
"vmla.f32 q15, q10, d7[0] \n"
"vmla.f32 q12, q11, d1[1] \n"
"vmla.f32 q13, q11, d3[1] \n"
"vmla.f32 q14, q11, d5[1] \n"
"vmla.f32 q15, q11, d7[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%2, #512] \n"
"vldm %2, {d8-d15} \n" // r14 r15 r16 r17
"vmla.f32 q12, q8, d2[0] \n"
"vmla.f32 q13, q8, d4[0] \n"
"vmla.f32 q14, q8, d6[0] \n"
"vmla.f32 q15, q8, d8[0] \n"
"vmla.f32 q12, q9, d2[1] \n"
"vmla.f32 q13, q9, d4[1] \n"
"vmla.f32 q14, q9, d6[1] \n"
"vmla.f32 q15, q9, d8[1] \n"
"vmla.f32 q12, q10, d3[0] \n"
"vmla.f32 q13, q10, d5[0] \n"
"vmla.f32 q14, q10, d7[0] \n"
"vmla.f32 q15, q10, d9[0] \n"
"vmla.f32 q12, q11, d3[1] \n"
"vmla.f32 q13, q11, d5[1] \n"
"vmla.f32 q14, q11, d7[1] \n"
"vmla.f32 q15, q11, d9[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q12, q8, d4[0] \n"
"vmla.f32 q13, q8, d6[0] \n"
"vmla.f32 q14, q8, d8[0] \n"
"vmla.f32 q15, q8, d10[0] \n"
"vmla.f32 q12, q9, d4[1] \n"
"vmla.f32 q13, q9, d6[1] \n"
"vmla.f32 q14, q9, d8[1] \n"
"vmla.f32 q15, q9, d10[1] \n"
"vmla.f32 q12, q10, d5[0] \n"
"vmla.f32 q13, q10, d7[0] \n"
"vmla.f32 q14, q10, d9[0] \n"
"vmla.f32 q15, q10, d11[0] \n"
"vmla.f32 q12, q11, d5[1] \n"
"vmla.f32 q13, q11, d7[1] \n"
"vmla.f32 q14, q11, d9[1] \n"
"vmla.f32 q15, q11, d11[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q12, q8, d6[0] \n"
"vmla.f32 q13, q8, d8[0] \n"
"vmla.f32 q14, q8, d10[0] \n"
"vmla.f32 q15, q8, d12[0] \n"
"vmla.f32 q12, q9, d6[1] \n"
"vmla.f32 q13, q9, d8[1] \n"
"vmla.f32 q14, q9, d10[1] \n"
"vmla.f32 q15, q9, d12[1] \n"
"vmla.f32 q12, q10, d7[0] \n"
"vmla.f32 q13, q10, d9[0] \n"
"vmla.f32 q14, q10, d11[0] \n"
"vmla.f32 q15, q10, d13[0] \n"
"vmla.f32 q12, q11, d7[1] \n"
"vmla.f32 q13, q11, d9[1] \n"
"vmla.f32 q14, q11, d11[1] \n"
"vmla.f32 q15, q11, d13[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%3, #512] \n"
"vldm %3!, {d0-d7} \n" // r20 r21 r22 r23
"vmla.f32 q12, q8, d8[0] \n"
"vmla.f32 q13, q8, d10[0] \n"
"vmla.f32 q14, q8, d12[0] \n"
"vmla.f32 q15, q8, d14[0] \n"
"vmla.f32 q12, q9, d8[1] \n"
"vmla.f32 q13, q9, d10[1] \n"
"vmla.f32 q14, q9, d12[1] \n"
"vmla.f32 q15, q9, d14[1] \n"
"vmla.f32 q12, q10, d9[0] \n"
"vmla.f32 q13, q10, d11[0] \n"
"vmla.f32 q14, q10, d13[0] \n"
"vmla.f32 q15, q10, d15[0] \n"
"vmla.f32 q12, q11, d9[1] \n"
"vmla.f32 q13, q11, d11[1] \n"
"vmla.f32 q14, q11, d13[1] \n"
"vmla.f32 q15, q11, d15[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q12, q8, d0[0] \n"
"vmla.f32 q13, q8, d2[0] \n"
"vmla.f32 q14, q8, d4[0] \n"
"vmla.f32 q15, q8, d6[0] \n"
"vmla.f32 q12, q9, d0[1] \n"
"vmla.f32 q13, q9, d2[1] \n"
"vmla.f32 q14, q9, d4[1] \n"
"vmla.f32 q15, q9, d6[1] \n"
"vmla.f32 q12, q10, d1[0] \n"
"vmla.f32 q13, q10, d3[0] \n"
"vmla.f32 q14, q10, d5[0] \n"
"vmla.f32 q15, q10, d7[0] \n"
"vmla.f32 q12, q11, d1[1] \n"
"vmla.f32 q13, q11, d3[1] \n"
"vmla.f32 q14, q11, d5[1] \n"
"vmla.f32 q15, q11, d7[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%3, #512] \n"
"vldm %3, {d8-d15} \n" // r24 r25 r26 r27
"vmla.f32 q12, q8, d2[0] \n"
"vmla.f32 q13, q8, d4[0] \n"
"vmla.f32 q14, q8, d6[0] \n"
"vmla.f32 q15, q8, d8[0] \n"
"vmla.f32 q12, q9, d2[1] \n"
"vmla.f32 q13, q9, d4[1] \n"
"vmla.f32 q14, q9, d6[1] \n"
"vmla.f32 q15, q9, d8[1] \n"
"vmla.f32 q12, q10, d3[0] \n"
"vmla.f32 q13, q10, d5[0] \n"
"vmla.f32 q14, q10, d7[0] \n"
"vmla.f32 q15, q10, d9[0] \n"
"vmla.f32 q12, q11, d3[1] \n"
"vmla.f32 q13, q11, d5[1] \n"
"vmla.f32 q14, q11, d7[1] \n"
"vmla.f32 q15, q11, d9[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q12, q8, d4[0] \n"
"vmla.f32 q13, q8, d6[0] \n"
"vmla.f32 q14, q8, d8[0] \n"
"vmla.f32 q15, q8, d10[0] \n"
"vmla.f32 q12, q9, d4[1] \n"
"vmla.f32 q13, q9, d6[1] \n"
"vmla.f32 q14, q9, d8[1] \n"
"vmla.f32 q15, q9, d10[1] \n"
"vmla.f32 q12, q10, d5[0] \n"
"vmla.f32 q13, q10, d7[0] \n"
"vmla.f32 q14, q10, d9[0] \n"
"vmla.f32 q15, q10, d11[0] \n"
"vmla.f32 q12, q11, d5[1] \n"
"vmla.f32 q13, q11, d7[1] \n"
"vmla.f32 q14, q11, d9[1] \n"
"vmla.f32 q15, q11, d11[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q12, q8, d6[0] \n"
"vmla.f32 q13, q8, d8[0] \n"
"vmla.f32 q14, q8, d10[0] \n"
"vmla.f32 q15, q8, d12[0] \n"
"vmla.f32 q12, q9, d6[1] \n"
"vmla.f32 q13, q9, d8[1] \n"
"vmla.f32 q14, q9, d10[1] \n"
"vmla.f32 q15, q9, d12[1] \n"
"vmla.f32 q12, q10, d7[0] \n"
"vmla.f32 q13, q10, d9[0] \n"
"vmla.f32 q14, q10, d11[0] \n"
"vmla.f32 q15, q10, d13[0] \n"
"vmla.f32 q12, q11, d7[1] \n"
"vmla.f32 q13, q11, d9[1] \n"
"vmla.f32 q14, q11, d11[1] \n"
"vmla.f32 q15, q11, d13[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%4, #512] \n"
"vldm %4!, {d0-d7} \n" // r30 r31 r32 r33
"vmla.f32 q12, q8, d8[0] \n"
"vmla.f32 q13, q8, d10[0] \n"
"vmla.f32 q14, q8, d12[0] \n"
"vmla.f32 q15, q8, d14[0] \n"
"vmla.f32 q12, q9, d8[1] \n"
"vmla.f32 q13, q9, d10[1] \n"
"vmla.f32 q14, q9, d12[1] \n"
"vmla.f32 q15, q9, d14[1] \n"
"vmla.f32 q12, q10, d9[0] \n"
"vmla.f32 q13, q10, d11[0] \n"
"vmla.f32 q14, q10, d13[0] \n"
"vmla.f32 q15, q10, d15[0] \n"
"vmla.f32 q12, q11, d9[1] \n"
"vmla.f32 q13, q11, d11[1] \n"
"vmla.f32 q14, q11, d13[1] \n"
"vmla.f32 q15, q11, d15[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q12, q8, d0[0] \n"
"vmla.f32 q13, q8, d2[0] \n"
"vmla.f32 q14, q8, d4[0] \n"
"vmla.f32 q15, q8, d6[0] \n"
"vmla.f32 q12, q9, d0[1] \n"
"vmla.f32 q13, q9, d2[1] \n"
"vmla.f32 q14, q9, d4[1] \n"
"vmla.f32 q15, q9, d6[1] \n"
"vmla.f32 q12, q10, d1[0] \n"
"vmla.f32 q13, q10, d3[0] \n"
"vmla.f32 q14, q10, d5[0] \n"
"vmla.f32 q15, q10, d7[0] \n"
"vmla.f32 q12, q11, d1[1] \n"
"vmla.f32 q13, q11, d3[1] \n"
"vmla.f32 q14, q11, d5[1] \n"
"vmla.f32 q15, q11, d7[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%4, #512] \n"
"vldm %4, {d8-d15} \n" // r34 r35 r36 r37
"vmla.f32 q12, q8, d2[0] \n"
"vmla.f32 q13, q8, d4[0] \n"
"vmla.f32 q14, q8, d6[0] \n"
"vmla.f32 q15, q8, d8[0] \n"
"vmla.f32 q12, q9, d2[1] \n"
"vmla.f32 q13, q9, d4[1] \n"
"vmla.f32 q14, q9, d6[1] \n"
"vmla.f32 q15, q9, d8[1] \n"
"vmla.f32 q12, q10, d3[0] \n"
"vmla.f32 q13, q10, d5[0] \n"
"vmla.f32 q14, q10, d7[0] \n"
"vmla.f32 q15, q10, d9[0] \n"
"vmla.f32 q12, q11, d3[1] \n"
"vmla.f32 q13, q11, d5[1] \n"
"vmla.f32 q14, q11, d7[1] \n"
"vmla.f32 q15, q11, d9[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q12, q8, d4[0] \n"
"vmla.f32 q13, q8, d6[0] \n"
"vmla.f32 q14, q8, d8[0] \n"
"vmla.f32 q15, q8, d10[0] \n"
"vmla.f32 q12, q9, d4[1] \n"
"vmla.f32 q13, q9, d6[1] \n"
"vmla.f32 q14, q9, d8[1] \n"
"vmla.f32 q15, q9, d10[1] \n"
"vmla.f32 q12, q10, d5[0] \n"
"vmla.f32 q13, q10, d7[0] \n"
"vmla.f32 q14, q10, d9[0] \n"
"vmla.f32 q15, q10, d11[0] \n"
"vmla.f32 q12, q11, d5[1] \n"
"vmla.f32 q13, q11, d7[1] \n"
"vmla.f32 q14, q11, d9[1] \n"
"vmla.f32 q15, q11, d11[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q12, q8, d6[0] \n"
"vmla.f32 q13, q8, d8[0] \n"
"vmla.f32 q14, q8, d10[0] \n"
"vmla.f32 q15, q8, d12[0] \n"
"vmla.f32 q12, q9, d6[1] \n"
"vmla.f32 q13, q9, d8[1] \n"
"vmla.f32 q14, q9, d10[1] \n"
"vmla.f32 q15, q9, d12[1] \n"
"vmla.f32 q12, q10, d7[0] \n"
"vmla.f32 q13, q10, d9[0] \n"
"vmla.f32 q14, q10, d11[0] \n"
"vmla.f32 q15, q10, d13[0] \n"
"vmla.f32 q12, q11, d7[1] \n"
"vmla.f32 q13, q11, d9[1] \n"
"vmla.f32 q14, q11, d11[1] \n"
"vmla.f32 q15, q11, d13[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%5, #512] \n"
"vldm %5!, {d0-d7} \n" // r40 r41 r42 r43
"vmla.f32 q12, q8, d8[0] \n"
"vmla.f32 q13, q8, d10[0] \n"
"vmla.f32 q14, q8, d12[0] \n"
"vmla.f32 q15, q8, d14[0] \n"
"vmla.f32 q12, q9, d8[1] \n"
"vmla.f32 q13, q9, d10[1] \n"
"vmla.f32 q14, q9, d12[1] \n"
"vmla.f32 q15, q9, d14[1] \n"
"vmla.f32 q12, q10, d9[0] \n"
"vmla.f32 q13, q10, d11[0] \n"
"vmla.f32 q14, q10, d13[0] \n"
"vmla.f32 q15, q10, d15[0] \n"
"vmla.f32 q12, q11, d9[1] \n"
"vmla.f32 q13, q11, d11[1] \n"
"vmla.f32 q14, q11, d13[1] \n"
"vmla.f32 q15, q11, d15[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q12, q8, d0[0] \n"
"vmla.f32 q13, q8, d2[0] \n"
"vmla.f32 q14, q8, d4[0] \n"
"vmla.f32 q15, q8, d6[0] \n"
"vmla.f32 q12, q9, d0[1] \n"
"vmla.f32 q13, q9, d2[1] \n"
"vmla.f32 q14, q9, d4[1] \n"
"vmla.f32 q15, q9, d6[1] \n"
"vmla.f32 q12, q10, d1[0] \n"
"vmla.f32 q13, q10, d3[0] \n"
"vmla.f32 q14, q10, d5[0] \n"
"vmla.f32 q15, q10, d7[0] \n"
"vmla.f32 q12, q11, d1[1] \n"
"vmla.f32 q13, q11, d3[1] \n"
"vmla.f32 q14, q11, d5[1] \n"
"vmla.f32 q15, q11, d7[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%5, #512] \n"
"vldm %5, {d8-d15} \n" // r44 r45 r46 r47
"vmla.f32 q12, q8, d2[0] \n"
"vmla.f32 q13, q8, d4[0] \n"
"vmla.f32 q14, q8, d6[0] \n"
"vmla.f32 q15, q8, d8[0] \n"
"vmla.f32 q12, q9, d2[1] \n"
"vmla.f32 q13, q9, d4[1] \n"
"vmla.f32 q14, q9, d6[1] \n"
"vmla.f32 q15, q9, d8[1] \n"
"vmla.f32 q12, q10, d3[0] \n"
"vmla.f32 q13, q10, d5[0] \n"
"vmla.f32 q14, q10, d7[0] \n"
"vmla.f32 q15, q10, d9[0] \n"
"vmla.f32 q12, q11, d3[1] \n"
"vmla.f32 q13, q11, d5[1] \n"
"vmla.f32 q14, q11, d7[1] \n"
"vmla.f32 q15, q11, d9[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q12, q8, d4[0] \n"
"vmla.f32 q13, q8, d6[0] \n"
"vmla.f32 q14, q8, d8[0] \n"
"vmla.f32 q15, q8, d10[0] \n"
"vmla.f32 q12, q9, d4[1] \n"
"vmla.f32 q13, q9, d6[1] \n"
"vmla.f32 q14, q9, d8[1] \n"
"vmla.f32 q15, q9, d10[1] \n"
"vmla.f32 q12, q10, d5[0] \n"
"vmla.f32 q13, q10, d7[0] \n"
"vmla.f32 q14, q10, d9[0] \n"
"vmla.f32 q15, q10, d11[0] \n"
"vmla.f32 q12, q11, d5[1] \n"
"vmla.f32 q13, q11, d7[1] \n"
"vmla.f32 q14, q11, d9[1] \n"
"vmla.f32 q15, q11, d11[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q12, q8, d6[0] \n"
"vmla.f32 q13, q8, d8[0] \n"
"vmla.f32 q14, q8, d10[0] \n"
"vmla.f32 q15, q8, d12[0] \n"
"vmla.f32 q12, q9, d6[1] \n"
"vmla.f32 q13, q9, d8[1] \n"
"vmla.f32 q14, q9, d10[1] \n"
"vmla.f32 q15, q9, d12[1] \n"
"vmla.f32 q12, q10, d7[0] \n"
"vmla.f32 q13, q10, d9[0] \n"
"vmla.f32 q14, q10, d11[0] \n"
"vmla.f32 q15, q10, d13[0] \n"
"vmla.f32 q12, q11, d7[1] \n"
"vmla.f32 q13, q11, d9[1] \n"
"vmla.f32 q14, q11, d11[1] \n"
"vmla.f32 q15, q11, d13[1] \n"
// "pld [%6, #512] \n"
"vldm %6, {d16-d23} \n"
"vmla.f32 q12, q8, d8[0] \n"
"vmla.f32 q13, q8, d10[0] \n"
"vmla.f32 q14, q8, d12[0] \n"
"vmla.f32 q15, q8, d14[0] \n"
"vmla.f32 q12, q9, d8[1] \n"
"vmla.f32 q13, q9, d10[1] \n"
"vmla.f32 q14, q9, d12[1] \n"
"vmla.f32 q15, q9, d14[1] \n"
"vmla.f32 q12, q10, d9[0] \n"
"vmla.f32 q13, q10, d11[0] \n"
"vmla.f32 q14, q10, d13[0] \n"
"vmla.f32 q15, q10, d15[0] \n"
"vmla.f32 q12, q11, d9[1] \n"
"vmla.f32 q13, q11, d11[1] \n"
"vmla.f32 q14, q11, d13[1] \n"
"vmla.f32 q15, q11, d15[1] \n"
"sub %6, %6, #1536 \n" // kptr -= 24 * 16;
"vstm %0!, {d24-d31} \n"
: "=r"(outptr0), // %0
"=r"(r0), // %1
"=r"(r1), // %2
"=r"(r2), // %3
"=r"(r3), // %4
"=r"(r4), // %5
"=r"(kptr) // %6
: "0"(outptr0),
"1"(r0),
"2"(r1),
"3"(r2),
"4"(r3),
"5"(r4),
"6"(kptr)
: "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15");
#endif // __aarch64__
}
for (; j + 1 < outw; j += 2)
{
#if __aarch64__
asm volatile(
"prfm pldl1keep, [%0, #256] \n"
"ld1 {v20.4s, v21.4s}, [%0] \n" // sum0 sum1
"prfm pldl1keep, [%1, #256] \n"
"ld1 {v0.4s, v1.4s}, [%1], #32 \n" // r00 r01
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmul v22.4s, v16.4s, v0.s[0] \n"
"fmul v23.4s, v16.4s, v1.s[0] \n"
"fmla v20.4s, v17.4s, v0.s[1] \n"
"fmla v21.4s, v17.4s, v1.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v22.4s, v18.4s, v0.s[2] \n"
"fmla v23.4s, v18.4s, v1.s[2] \n"
"fmla v20.4s, v19.4s, v0.s[3] \n"
"fmla v21.4s, v19.4s, v1.s[3] \n"
"prfm pldl1keep, [%1, #512] \n"
"ld1 {v2.4s, v3.4s, v4.4s, v5.4s}, [%1] \n" // r02 r03 r04 r05
"fmla v22.4s, v24.4s, v1.s[0] \n"
"fmla v23.4s, v24.4s, v2.s[0] \n"
"fmla v20.4s, v25.4s, v1.s[1] \n"
"fmla v21.4s, v25.4s, v2.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v22.4s, v26.4s, v1.s[2] \n"
"fmla v23.4s, v26.4s, v2.s[2] \n"
"fmla v20.4s, v27.4s, v1.s[3] \n"
"fmla v21.4s, v27.4s, v2.s[3] \n"
"fmla v22.4s, v16.4s, v2.s[0] \n"
"fmla v23.4s, v16.4s, v3.s[0] \n"
"fmla v20.4s, v17.4s, v2.s[1] \n"
"fmla v21.4s, v17.4s, v3.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v22.4s, v18.4s, v2.s[2] \n"
"fmla v23.4s, v18.4s, v3.s[2] \n"
"fmla v20.4s, v19.4s, v2.s[3] \n"
"fmla v21.4s, v19.4s, v3.s[3] \n"
"fmla v22.4s, v24.4s, v3.s[0] \n"
"fmla v23.4s, v24.4s, v4.s[0] \n"
"fmla v20.4s, v25.4s, v3.s[1] \n"
"fmla v21.4s, v25.4s, v4.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v22.4s, v26.4s, v3.s[2] \n"
"fmla v23.4s, v26.4s, v4.s[2] \n"
"fmla v20.4s, v27.4s, v3.s[3] \n"
"fmla v21.4s, v27.4s, v4.s[3] \n"
"prfm pldl1keep, [%2, #256] \n"
"ld1 {v0.4s, v1.4s}, [%2], #32 \n" // r10 r11
"fmla v22.4s, v16.4s, v4.s[0] \n"
"fmla v23.4s, v16.4s, v5.s[0] \n"
"fmla v20.4s, v17.4s, v4.s[1] \n"
"fmla v21.4s, v17.4s, v5.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v22.4s, v18.4s, v4.s[2] \n"
"fmla v23.4s, v18.4s, v5.s[2] \n"
"fmla v20.4s, v19.4s, v4.s[3] \n"
"fmla v21.4s, v19.4s, v5.s[3] \n"
"fmla v22.4s, v24.4s, v0.s[0] \n"
"fmla v23.4s, v24.4s, v1.s[0] \n"
"fmla v20.4s, v25.4s, v0.s[1] \n"
"fmla v21.4s, v25.4s, v1.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v22.4s, v26.4s, v0.s[2] \n"
"fmla v23.4s, v26.4s, v1.s[2] \n"
"fmla v20.4s, v27.4s, v0.s[3] \n"
"fmla v21.4s, v27.4s, v1.s[3] \n"
"prfm pldl1keep, [%2, #512] \n"
"ld1 {v2.4s, v3.4s, v4.4s, v5.4s}, [%2] \n" // r12 r13 r14 r15
"fmla v22.4s, v16.4s, v1.s[0] \n"
"fmla v23.4s, v16.4s, v2.s[0] \n"
"fmla v20.4s, v17.4s, v1.s[1] \n"
"fmla v21.4s, v17.4s, v2.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v22.4s, v18.4s, v1.s[2] \n"
"fmla v23.4s, v18.4s, v2.s[2] \n"
"fmla v20.4s, v19.4s, v1.s[3] \n"
"fmla v21.4s, v19.4s, v2.s[3] \n"
"fmla v22.4s, v24.4s, v2.s[0] \n"
"fmla v23.4s, v24.4s, v3.s[0] \n"
"fmla v20.4s, v25.4s, v2.s[1] \n"
"fmla v21.4s, v25.4s, v3.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v22.4s, v26.4s, v2.s[2] \n"
"fmla v23.4s, v26.4s, v3.s[2] \n"
"fmla v20.4s, v27.4s, v2.s[3] \n"
"fmla v21.4s, v27.4s, v3.s[3] \n"
"fmla v22.4s, v16.4s, v3.s[0] \n"
"fmla v23.4s, v16.4s, v4.s[0] \n"
"fmla v20.4s, v17.4s, v3.s[1] \n"
"fmla v21.4s, v17.4s, v4.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v22.4s, v18.4s, v3.s[2] \n"
"fmla v23.4s, v18.4s, v4.s[2] \n"
"fmla v20.4s, v19.4s, v3.s[3] \n"
"fmla v21.4s, v19.4s, v4.s[3] \n"
"prfm pldl1keep, [%3, #256] \n"
"ld1 {v0.4s, v1.4s}, [%3], #32 \n" // r20 r21
"fmla v22.4s, v24.4s, v4.s[0] \n"
"fmla v23.4s, v24.4s, v5.s[0] \n"
"fmla v20.4s, v25.4s, v4.s[1] \n"
"fmla v21.4s, v25.4s, v5.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v22.4s, v26.4s, v4.s[2] \n"
"fmla v23.4s, v26.4s, v5.s[2] \n"
"fmla v20.4s, v27.4s, v4.s[3] \n"
"fmla v21.4s, v27.4s, v5.s[3] \n"
"fmla v22.4s, v16.4s, v0.s[0] \n"
"fmla v23.4s, v16.4s, v1.s[0] \n"
"fmla v20.4s, v17.4s, v0.s[1] \n"
"fmla v21.4s, v17.4s, v1.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v22.4s, v18.4s, v0.s[2] \n"
"fmla v23.4s, v18.4s, v1.s[2] \n"
"fmla v20.4s, v19.4s, v0.s[3] \n"
"fmla v21.4s, v19.4s, v1.s[3] \n"
"prfm pldl1keep, [%3, #512] \n"
"ld1 {v2.4s, v3.4s, v4.4s, v5.4s}, [%3] \n" // r22 r23 r24 r25
"fmla v22.4s, v24.4s, v1.s[0] \n"
"fmla v23.4s, v24.4s, v2.s[0] \n"
"fmla v20.4s, v25.4s, v1.s[1] \n"
"fmla v21.4s, v25.4s, v2.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v22.4s, v26.4s, v1.s[2] \n"
"fmla v23.4s, v26.4s, v2.s[2] \n"
"fmla v20.4s, v27.4s, v1.s[3] \n"
"fmla v21.4s, v27.4s, v2.s[3] \n"
"fmla v22.4s, v16.4s, v2.s[0] \n"
"fmla v23.4s, v16.4s, v3.s[0] \n"
"fmla v20.4s, v17.4s, v2.s[1] \n"
"fmla v21.4s, v17.4s, v3.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v22.4s, v18.4s, v2.s[2] \n"
"fmla v23.4s, v18.4s, v3.s[2] \n"
"fmla v20.4s, v19.4s, v2.s[3] \n"
"fmla v21.4s, v19.4s, v3.s[3] \n"
"fmla v22.4s, v24.4s, v3.s[0] \n"
"fmla v23.4s, v24.4s, v4.s[0] \n"
"fmla v20.4s, v25.4s, v3.s[1] \n"
"fmla v21.4s, v25.4s, v4.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v22.4s, v26.4s, v3.s[2] \n"
"fmla v23.4s, v26.4s, v4.s[2] \n"
"fmla v20.4s, v27.4s, v3.s[3] \n"
"fmla v21.4s, v27.4s, v4.s[3] \n"
"prfm pldl1keep, [%4, #256] \n"
"ld1 {v0.4s, v1.4s}, [%4], #32 \n" // r30 r31
"fmla v22.4s, v16.4s, v4.s[0] \n"
"fmla v23.4s, v16.4s, v5.s[0] \n"
"fmla v20.4s, v17.4s, v4.s[1] \n"
"fmla v21.4s, v17.4s, v5.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v22.4s, v18.4s, v4.s[2] \n"
"fmla v23.4s, v18.4s, v5.s[2] \n"
"fmla v20.4s, v19.4s, v4.s[3] \n"
"fmla v21.4s, v19.4s, v5.s[3] \n"
"fmla v22.4s, v24.4s, v0.s[0] \n"
"fmla v23.4s, v24.4s, v1.s[0] \n"
"fmla v20.4s, v25.4s, v0.s[1] \n"
"fmla v21.4s, v25.4s, v1.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v22.4s, v26.4s, v0.s[2] \n"
"fmla v23.4s, v26.4s, v1.s[2] \n"
"fmla v20.4s, v27.4s, v0.s[3] \n"
"fmla v21.4s, v27.4s, v1.s[3] \n"
"prfm pldl1keep, [%4, #512] \n"
"ld1 {v2.4s, v3.4s, v4.4s, v5.4s}, [%4] \n" // r32 r33 r34 r35
"fmla v22.4s, v16.4s, v1.s[0] \n"
"fmla v23.4s, v16.4s, v2.s[0] \n"
"fmla v20.4s, v17.4s, v1.s[1] \n"
"fmla v21.4s, v17.4s, v2.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v22.4s, v18.4s, v1.s[2] \n"
"fmla v23.4s, v18.4s, v2.s[2] \n"
"fmla v20.4s, v19.4s, v1.s[3] \n"
"fmla v21.4s, v19.4s, v2.s[3] \n"
"fmla v22.4s, v24.4s, v2.s[0] \n"
"fmla v23.4s, v24.4s, v3.s[0] \n"
"fmla v20.4s, v25.4s, v2.s[1] \n"
"fmla v21.4s, v25.4s, v3.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v22.4s, v26.4s, v2.s[2] \n"
"fmla v23.4s, v26.4s, v3.s[2] \n"
"fmla v20.4s, v27.4s, v2.s[3] \n"
"fmla v21.4s, v27.4s, v3.s[3] \n"
"fmla v22.4s, v16.4s, v3.s[0] \n"
"fmla v23.4s, v16.4s, v4.s[0] \n"
"fmla v20.4s, v17.4s, v3.s[1] \n"
"fmla v21.4s, v17.4s, v4.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v22.4s, v18.4s, v3.s[2] \n"
"fmla v23.4s, v18.4s, v4.s[2] \n"
"fmla v20.4s, v19.4s, v3.s[3] \n"
"fmla v21.4s, v19.4s, v4.s[3] \n"
"prfm pldl1keep, [%5, #256] \n"
"ld1 {v0.4s, v1.4s}, [%5], #32 \n" // r40 r41
"fmla v22.4s, v24.4s, v4.s[0] \n"
"fmla v23.4s, v24.4s, v5.s[0] \n"
"fmla v20.4s, v25.4s, v4.s[1] \n"
"fmla v21.4s, v25.4s, v5.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v22.4s, v26.4s, v4.s[2] \n"
"fmla v23.4s, v26.4s, v5.s[2] \n"
"fmla v20.4s, v27.4s, v4.s[3] \n"
"fmla v21.4s, v27.4s, v5.s[3] \n"
"fmla v22.4s, v16.4s, v0.s[0] \n"
"fmla v23.4s, v16.4s, v1.s[0] \n"
"fmla v20.4s, v17.4s, v0.s[1] \n"
"fmla v21.4s, v17.4s, v1.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v22.4s, v18.4s, v0.s[2] \n"
"fmla v23.4s, v18.4s, v1.s[2] \n"
"fmla v20.4s, v19.4s, v0.s[3] \n"
"fmla v21.4s, v19.4s, v1.s[3] \n"
"prfm pldl1keep, [%5, #512] \n"
"ld1 {v2.4s, v3.4s, v4.4s, v5.4s}, [%5] \n" // r42 r43 r44 r45
"fmla v22.4s, v24.4s, v1.s[0] \n"
"fmla v23.4s, v24.4s, v2.s[0] \n"
"fmla v20.4s, v25.4s, v1.s[1] \n"
"fmla v21.4s, v25.4s, v2.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v22.4s, v26.4s, v1.s[2] \n"
"fmla v23.4s, v26.4s, v2.s[2] \n"
"fmla v20.4s, v27.4s, v1.s[3] \n"
"fmla v21.4s, v27.4s, v2.s[3] \n"
"fmla v22.4s, v16.4s, v2.s[0] \n"
"fmla v23.4s, v16.4s, v3.s[0] \n"
"fmla v20.4s, v17.4s, v2.s[1] \n"
"fmla v21.4s, v17.4s, v3.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v22.4s, v18.4s, v2.s[2] \n"
"fmla v23.4s, v18.4s, v3.s[2] \n"
"fmla v20.4s, v19.4s, v2.s[3] \n"
"fmla v21.4s, v19.4s, v3.s[3] \n"
"fmla v22.4s, v24.4s, v3.s[0] \n"
"fmla v23.4s, v24.4s, v4.s[0] \n"
"fmla v20.4s, v25.4s, v3.s[1] \n"
"fmla v21.4s, v25.4s, v4.s[1] \n"
// "prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6] \n"
"fmla v22.4s, v26.4s, v3.s[2] \n"
"fmla v23.4s, v26.4s, v4.s[2] \n"
"fmla v20.4s, v27.4s, v3.s[3] \n"
"fmla v21.4s, v27.4s, v4.s[3] \n"
"fmla v22.4s, v16.4s, v4.s[0] \n"
"fmla v23.4s, v16.4s, v5.s[0] \n"
"fmla v20.4s, v17.4s, v4.s[1] \n"
"fmla v21.4s, v17.4s, v5.s[1] \n"
"fmla v22.4s, v18.4s, v4.s[2] \n"
"fmla v23.4s, v18.4s, v5.s[2] \n"
"fmla v20.4s, v19.4s, v4.s[3] \n"
"fmla v21.4s, v19.4s, v5.s[3] \n"
"fadd v20.4s, v20.4s, v22.4s \n"
"fadd v21.4s, v21.4s, v23.4s \n"
"sub %6, %6, #1536 \n" // kptr -= 24 * 16;
"st1 {v20.4s, v21.4s}, [%0], #32 \n"
: "=r"(outptr0), // %0
"=r"(r0), // %1
"=r"(r1), // %2
"=r"(r2), // %3
"=r"(r3), // %4
"=r"(r4), // %5
"=r"(kptr) // %6
: "0"(outptr0),
"1"(r0),
"2"(r1),
"3"(r2),
"4"(r3),
"5"(r4),
"6"(kptr)
: "memory", "v0", "v1", "v2", "v3", "v4", "v5", "v16", "v17", "v18", "v19", "v20", "v21", "v22", "v23", "v24", "v25", "v26", "v27");
#else // __aarch64__
asm volatile(
"pld [%0, #256] \n"
"vld1.f32 {d24-d27}, [%0 :128] \n" // sum0 sum1
"pld [%1, #256] \n"
"vld1.f32 {d0-d3}, [%1 :128]! \n" // r00 r01
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmul.f32 q14, q8, d0[0] \n"
"vmul.f32 q15, q8, d2[0] \n"
"vmla.f32 q12, q9, d0[1] \n"
"vmla.f32 q13, q9, d2[1] \n"
"vmla.f32 q14, q10, d1[0] \n"
"vmla.f32 q15, q10, d3[0] \n"
"vmla.f32 q12, q11, d1[1] \n"
"vmla.f32 q13, q11, d3[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%1, #512] \n"
"vldm %1, {d4-d11} \n" // r02 r03 r04 r05
"vmla.f32 q14, q8, d2[0] \n"
"vmla.f32 q15, q8, d4[0] \n"
"vmla.f32 q12, q9, d2[1] \n"
"vmla.f32 q13, q9, d4[1] \n"
"vmla.f32 q14, q10, d3[0] \n"
"vmla.f32 q15, q10, d5[0] \n"
"vmla.f32 q12, q11, d3[1] \n"
"vmla.f32 q13, q11, d5[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q14, q8, d4[0] \n"
"vmla.f32 q15, q8, d6[0] \n"
"vmla.f32 q12, q9, d4[1] \n"
"vmla.f32 q13, q9, d6[1] \n"
"vmla.f32 q14, q10, d5[0] \n"
"vmla.f32 q15, q10, d7[0] \n"
"vmla.f32 q12, q11, d5[1] \n"
"vmla.f32 q13, q11, d7[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q14, q8, d6[0] \n"
"vmla.f32 q15, q8, d8[0] \n"
"vmla.f32 q12, q9, d6[1] \n"
"vmla.f32 q13, q9, d8[1] \n"
"vmla.f32 q14, q10, d7[0] \n"
"vmla.f32 q15, q10, d9[0] \n"
"vmla.f32 q12, q11, d7[1] \n"
"vmla.f32 q13, q11, d9[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%2, #256] \n"
"vld1.f32 {d0-d3}, [%2 :128]! \n" // r10 r11
"vmla.f32 q14, q8, d8[0] \n"
"vmla.f32 q15, q8, d10[0] \n"
"vmla.f32 q12, q9, d8[1] \n"
"vmla.f32 q13, q9, d10[1] \n"
"vmla.f32 q14, q10, d9[0] \n"
"vmla.f32 q15, q10, d11[0] \n"
"vmla.f32 q12, q11, d9[1] \n"
"vmla.f32 q13, q11, d11[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q14, q8, d0[0] \n"
"vmla.f32 q15, q8, d2[0] \n"
"vmla.f32 q12, q9, d0[1] \n"
"vmla.f32 q13, q9, d2[1] \n"
"vmla.f32 q14, q10, d1[0] \n"
"vmla.f32 q15, q10, d3[0] \n"
"vmla.f32 q12, q11, d1[1] \n"
"vmla.f32 q13, q11, d3[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%2, #512] \n"
"vldm %2, {d4-d11} \n" // r12 r13 r14 r15
"vmla.f32 q14, q8, d2[0] \n"
"vmla.f32 q15, q8, d4[0] \n"
"vmla.f32 q12, q9, d2[1] \n"
"vmla.f32 q13, q9, d4[1] \n"
"vmla.f32 q14, q10, d3[0] \n"
"vmla.f32 q15, q10, d5[0] \n"
"vmla.f32 q12, q11, d3[1] \n"
"vmla.f32 q13, q11, d5[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q14, q8, d4[0] \n"
"vmla.f32 q15, q8, d6[0] \n"
"vmla.f32 q12, q9, d4[1] \n"
"vmla.f32 q13, q9, d6[1] \n"
"vmla.f32 q14, q10, d5[0] \n"
"vmla.f32 q15, q10, d7[0] \n"
"vmla.f32 q12, q11, d5[1] \n"
"vmla.f32 q13, q11, d7[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q14, q8, d6[0] \n"
"vmla.f32 q15, q8, d8[0] \n"
"vmla.f32 q12, q9, d6[1] \n"
"vmla.f32 q13, q9, d8[1] \n"
"vmla.f32 q14, q10, d7[0] \n"
"vmla.f32 q15, q10, d9[0] \n"
"vmla.f32 q12, q11, d7[1] \n"
"vmla.f32 q13, q11, d9[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%3, #256] \n"
"vld1.f32 {d0-d3}, [%3 :128]! \n" // r20 r21
"vmla.f32 q14, q8, d8[0] \n"
"vmla.f32 q15, q8, d10[0] \n"
"vmla.f32 q12, q9, d8[1] \n"
"vmla.f32 q13, q9, d10[1] \n"
"vmla.f32 q14, q10, d9[0] \n"
"vmla.f32 q15, q10, d11[0] \n"
"vmla.f32 q12, q11, d9[1] \n"
"vmla.f32 q13, q11, d11[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q14, q8, d0[0] \n"
"vmla.f32 q15, q8, d2[0] \n"
"vmla.f32 q12, q9, d0[1] \n"
"vmla.f32 q13, q9, d2[1] \n"
"vmla.f32 q14, q10, d1[0] \n"
"vmla.f32 q15, q10, d3[0] \n"
"vmla.f32 q12, q11, d1[1] \n"
"vmla.f32 q13, q11, d3[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%3, #512] \n"
"vldm %3, {d4-d11} \n" // r22 r23 r24 r25
"vmla.f32 q14, q8, d2[0] \n"
"vmla.f32 q15, q8, d4[0] \n"
"vmla.f32 q12, q9, d2[1] \n"
"vmla.f32 q13, q9, d4[1] \n"
"vmla.f32 q14, q10, d3[0] \n"
"vmla.f32 q15, q10, d5[0] \n"
"vmla.f32 q12, q11, d3[1] \n"
"vmla.f32 q13, q11, d5[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q14, q8, d4[0] \n"
"vmla.f32 q15, q8, d6[0] \n"
"vmla.f32 q12, q9, d4[1] \n"
"vmla.f32 q13, q9, d6[1] \n"
"vmla.f32 q14, q10, d5[0] \n"
"vmla.f32 q15, q10, d7[0] \n"
"vmla.f32 q12, q11, d5[1] \n"
"vmla.f32 q13, q11, d7[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q14, q8, d6[0] \n"
"vmla.f32 q15, q8, d8[0] \n"
"vmla.f32 q12, q9, d6[1] \n"
"vmla.f32 q13, q9, d8[1] \n"
"vmla.f32 q14, q10, d7[0] \n"
"vmla.f32 q15, q10, d9[0] \n"
"vmla.f32 q12, q11, d7[1] \n"
"vmla.f32 q13, q11, d9[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%4, #256] \n"
"vld1.f32 {d0-d3}, [%4 :128]! \n" // r30 r31
"vmla.f32 q14, q8, d8[0] \n"
"vmla.f32 q15, q8, d10[0] \n"
"vmla.f32 q12, q9, d8[1] \n"
"vmla.f32 q13, q9, d10[1] \n"
"vmla.f32 q14, q10, d9[0] \n"
"vmla.f32 q15, q10, d11[0] \n"
"vmla.f32 q12, q11, d9[1] \n"
"vmla.f32 q13, q11, d11[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q14, q8, d0[0] \n"
"vmla.f32 q15, q8, d2[0] \n"
"vmla.f32 q12, q9, d0[1] \n"
"vmla.f32 q13, q9, d2[1] \n"
"vmla.f32 q14, q10, d1[0] \n"
"vmla.f32 q15, q10, d3[0] \n"
"vmla.f32 q12, q11, d1[1] \n"
"vmla.f32 q13, q11, d3[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%4, #512] \n"
"vldm %4, {d4-d11} \n" // r32 r33 r34 r35
"vmla.f32 q14, q8, d2[0] \n"
"vmla.f32 q15, q8, d4[0] \n"
"vmla.f32 q12, q9, d2[1] \n"
"vmla.f32 q13, q9, d4[1] \n"
"vmla.f32 q14, q10, d3[0] \n"
"vmla.f32 q15, q10, d5[0] \n"
"vmla.f32 q12, q11, d3[1] \n"
"vmla.f32 q13, q11, d5[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q14, q8, d4[0] \n"
"vmla.f32 q15, q8, d6[0] \n"
"vmla.f32 q12, q9, d4[1] \n"
"vmla.f32 q13, q9, d6[1] \n"
"vmla.f32 q14, q10, d5[0] \n"
"vmla.f32 q15, q10, d7[0] \n"
"vmla.f32 q12, q11, d5[1] \n"
"vmla.f32 q13, q11, d7[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q14, q8, d6[0] \n"
"vmla.f32 q15, q8, d8[0] \n"
"vmla.f32 q12, q9, d6[1] \n"
"vmla.f32 q13, q9, d8[1] \n"
"vmla.f32 q14, q10, d7[0] \n"
"vmla.f32 q15, q10, d9[0] \n"
"vmla.f32 q12, q11, d7[1] \n"
"vmla.f32 q13, q11, d9[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%5, #256] \n"
"vld1.f32 {d0-d3}, [%5 :128]! \n" // r40 r41
"vmla.f32 q14, q8, d8[0] \n"
"vmla.f32 q15, q8, d10[0] \n"
"vmla.f32 q12, q9, d8[1] \n"
"vmla.f32 q13, q9, d10[1] \n"
"vmla.f32 q14, q10, d9[0] \n"
"vmla.f32 q15, q10, d11[0] \n"
"vmla.f32 q12, q11, d9[1] \n"
"vmla.f32 q13, q11, d11[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q14, q8, d0[0] \n"
"vmla.f32 q15, q8, d2[0] \n"
"vmla.f32 q12, q9, d0[1] \n"
"vmla.f32 q13, q9, d2[1] \n"
"vmla.f32 q14, q10, d1[0] \n"
"vmla.f32 q15, q10, d3[0] \n"
"vmla.f32 q12, q11, d1[1] \n"
"vmla.f32 q13, q11, d3[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%5, #512] \n"
"vldm %5, {d4-d11} \n" // r42 r43 r44 r45
"vmla.f32 q14, q8, d2[0] \n"
"vmla.f32 q15, q8, d4[0] \n"
"vmla.f32 q12, q9, d2[1] \n"
"vmla.f32 q13, q9, d4[1] \n"
"vmla.f32 q14, q10, d3[0] \n"
"vmla.f32 q15, q10, d5[0] \n"
"vmla.f32 q12, q11, d3[1] \n"
"vmla.f32 q13, q11, d5[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q14, q8, d4[0] \n"
"vmla.f32 q15, q8, d6[0] \n"
"vmla.f32 q12, q9, d4[1] \n"
"vmla.f32 q13, q9, d6[1] \n"
"vmla.f32 q14, q10, d5[0] \n"
"vmla.f32 q15, q10, d7[0] \n"
"vmla.f32 q12, q11, d5[1] \n"
"vmla.f32 q13, q11, d7[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q14, q8, d6[0] \n"
"vmla.f32 q15, q8, d8[0] \n"
"vmla.f32 q12, q9, d6[1] \n"
"vmla.f32 q13, q9, d8[1] \n"
"vmla.f32 q14, q10, d7[0] \n"
"vmla.f32 q15, q10, d9[0] \n"
"vmla.f32 q12, q11, d7[1] \n"
"vmla.f32 q13, q11, d9[1] \n"
// "pld [%6, #512] \n"
"vldm %6, {d16-d23} \n"
"vmla.f32 q14, q8, d8[0] \n"
"vmla.f32 q15, q8, d10[0] \n"
"vmla.f32 q12, q9, d8[1] \n"
"vmla.f32 q13, q9, d10[1] \n"
"vmla.f32 q14, q10, d9[0] \n"
"vmla.f32 q15, q10, d11[0] \n"
"vmla.f32 q12, q11, d9[1] \n"
"vmla.f32 q13, q11, d11[1] \n"
"vadd.f32 q12, q12, q14 \n"
"vadd.f32 q13, q13, q15 \n"
"sub %6, %6, #1536 \n" // kptr -= 24 * 16;
"vst1.f32 {d24-d27}, [%0 :128]! \n"
: "=r"(outptr0), // %0
"=r"(r0), // %1
"=r"(r1), // %2
"=r"(r2), // %3
"=r"(r3), // %4
"=r"(r4), // %5
"=r"(kptr) // %6
: "0"(outptr0),
"1"(r0),
"2"(r1),
"3"(r2),
"4"(r3),
"5"(r4),
"6"(kptr)
: "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15");
#endif // __aarch64__
}
for (; j < outw; j++)
{
#if __aarch64__
asm volatile(
"prfm pldl1keep, [%0, #128] \n"
"ld1 {v20.4s}, [%0] \n" // sum0
"prfm pldl1keep, [%1, #128] \n"
"ld1 {v0.4s}, [%1], #16 \n" // r00
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"prfm pldl1keep, [%1, #512] \n"
"ld1 {v1.4s, v2.4s, v3.4s, v4.4s}, [%1] \n" // r01 r02 r03 r04
"fmul v21.4s, v16.4s, v0.s[0] \n"
"fmul v22.4s, v17.4s, v0.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmul v23.4s, v18.4s, v0.s[2] \n"
"fmla v20.4s, v19.4s, v0.s[3] \n"
"fmla v21.4s, v24.4s, v1.s[0] \n"
"fmla v22.4s, v25.4s, v1.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v23.4s, v26.4s, v1.s[2] \n"
"fmla v20.4s, v27.4s, v1.s[3] \n"
"fmla v21.4s, v16.4s, v2.s[0] \n"
"fmla v22.4s, v17.4s, v2.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v23.4s, v18.4s, v2.s[2] \n"
"fmla v20.4s, v19.4s, v2.s[3] \n"
"fmla v21.4s, v24.4s, v3.s[0] \n"
"fmla v22.4s, v25.4s, v3.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v23.4s, v26.4s, v3.s[2] \n"
"fmla v20.4s, v27.4s, v3.s[3] \n"
"prfm pldl1keep, [%2, #128] \n"
"ld1 {v0.4s}, [%2], #16 \n" // r10
"fmla v21.4s, v16.4s, v4.s[0] \n"
"fmla v22.4s, v17.4s, v4.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v23.4s, v18.4s, v4.s[2] \n"
"fmla v20.4s, v19.4s, v4.s[3] \n"
"prfm pldl1keep, [%2, #512] \n"
"ld1 {v1.4s, v2.4s, v3.4s, v4.4s}, [%2] \n" // r11 r12 r13 r14
"fmla v21.4s, v24.4s, v0.s[0] \n"
"fmla v22.4s, v25.4s, v0.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v23.4s, v26.4s, v0.s[2] \n"
"fmla v20.4s, v27.4s, v0.s[3] \n"
"fmla v21.4s, v16.4s, v1.s[0] \n"
"fmla v22.4s, v17.4s, v1.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v23.4s, v18.4s, v1.s[2] \n"
"fmla v20.4s, v19.4s, v1.s[3] \n"
"fmla v21.4s, v24.4s, v2.s[0] \n"
"fmla v22.4s, v25.4s, v2.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v23.4s, v26.4s, v2.s[2] \n"
"fmla v20.4s, v27.4s, v2.s[3] \n"
"fmla v21.4s, v16.4s, v3.s[0] \n"
"fmla v22.4s, v17.4s, v3.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v23.4s, v18.4s, v3.s[2] \n"
"fmla v20.4s, v19.4s, v3.s[3] \n"
"prfm pldl1keep, [%3, #128] \n"
"ld1 {v0.4s}, [%3], #16 \n" // r20
"fmla v21.4s, v24.4s, v4.s[0] \n"
"fmla v22.4s, v25.4s, v4.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v23.4s, v26.4s, v4.s[2] \n"
"fmla v20.4s, v27.4s, v4.s[3] \n"
"prfm pldl1keep, [%3, #512] \n"
"ld1 {v1.4s, v2.4s, v3.4s, v4.4s}, [%3] \n" // r21 r22 r23 r24
"fmla v21.4s, v16.4s, v0.s[0] \n"
"fmla v22.4s, v17.4s, v0.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v23.4s, v18.4s, v0.s[2] \n"
"fmla v20.4s, v19.4s, v0.s[3] \n"
"fmla v21.4s, v24.4s, v1.s[0] \n"
"fmla v22.4s, v25.4s, v1.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v23.4s, v26.4s, v1.s[2] \n"
"fmla v20.4s, v27.4s, v1.s[3] \n"
"fmla v21.4s, v16.4s, v2.s[0] \n"
"fmla v22.4s, v17.4s, v2.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v23.4s, v18.4s, v2.s[2] \n"
"fmla v20.4s, v19.4s, v2.s[3] \n"
"fmla v21.4s, v24.4s, v3.s[0] \n"
"fmla v22.4s, v25.4s, v3.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v23.4s, v26.4s, v3.s[2] \n"
"fmla v20.4s, v27.4s, v3.s[3] \n"
"prfm pldl1keep, [%4, #128] \n"
"ld1 {v0.4s}, [%4], #16 \n" // r30
"fmla v21.4s, v16.4s, v4.s[0] \n"
"fmla v22.4s, v17.4s, v4.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v23.4s, v18.4s, v4.s[2] \n"
"fmla v20.4s, v19.4s, v4.s[3] \n"
"prfm pldl1keep, [%4, #512] \n"
"ld1 {v1.4s, v2.4s, v3.4s, v4.4s}, [%4] \n" // r31 r32 r33 r34
"fmla v21.4s, v24.4s, v0.s[0] \n"
"fmla v22.4s, v25.4s, v0.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v23.4s, v26.4s, v0.s[2] \n"
"fmla v20.4s, v27.4s, v0.s[3] \n"
"fmla v21.4s, v16.4s, v1.s[0] \n"
"fmla v22.4s, v17.4s, v1.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v23.4s, v18.4s, v1.s[2] \n"
"fmla v20.4s, v19.4s, v1.s[3] \n"
"fmla v21.4s, v24.4s, v2.s[0] \n"
"fmla v22.4s, v25.4s, v2.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v23.4s, v26.4s, v2.s[2] \n"
"fmla v20.4s, v27.4s, v2.s[3] \n"
"fmla v21.4s, v16.4s, v3.s[0] \n"
"fmla v22.4s, v17.4s, v3.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v23.4s, v18.4s, v3.s[2] \n"
"fmla v20.4s, v19.4s, v3.s[3] \n"
"prfm pldl1keep, [%5, #128] \n"
"ld1 {v0.4s}, [%5], #16 \n" // r40
"fmla v21.4s, v24.4s, v4.s[0] \n"
"fmla v22.4s, v25.4s, v4.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v23.4s, v26.4s, v4.s[2] \n"
"fmla v20.4s, v27.4s, v4.s[3] \n"
"prfm pldl1keep, [%5, #512] \n"
"ld1 {v1.4s, v2.4s, v3.4s, v4.4s}, [%5] \n" // r41 r42 r43 r44
"fmla v21.4s, v16.4s, v0.s[0] \n"
"fmla v22.4s, v17.4s, v0.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v23.4s, v18.4s, v0.s[2] \n"
"fmla v20.4s, v19.4s, v0.s[3] \n"
"fmla v21.4s, v24.4s, v1.s[0] \n"
"fmla v22.4s, v25.4s, v1.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v23.4s, v26.4s, v1.s[2] \n"
"fmla v20.4s, v27.4s, v1.s[3] \n"
"fmla v21.4s, v16.4s, v2.s[0] \n"
"fmla v22.4s, v17.4s, v2.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v23.4s, v18.4s, v2.s[2] \n"
"fmla v20.4s, v19.4s, v2.s[3] \n"
"fmla v21.4s, v24.4s, v3.s[0] \n"
"fmla v22.4s, v25.4s, v3.s[1] \n"
// "prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6] \n"
"fmla v23.4s, v26.4s, v3.s[2] \n"
"fmla v20.4s, v27.4s, v3.s[3] \n"
"fmla v21.4s, v16.4s, v4.s[0] \n"
"fmla v22.4s, v17.4s, v4.s[1] \n"
"fmla v23.4s, v18.4s, v4.s[2] \n"
"fmla v20.4s, v19.4s, v4.s[3] \n"
"fadd v22.4s, v21.4s, v22.4s \n"
"fadd v23.4s, v22.4s, v23.4s \n"
"fadd v20.4s, v20.4s, v23.4s \n"
"sub %6, %6, #1536 \n" // kptr -= 24 * 16;
"st1 {v20.4s}, [%0], #16 \n"
: "=r"(outptr0), // %0
"=r"(r0), // %1
"=r"(r1), // %2
"=r"(r2), // %3
"=r"(r3), // %4
"=r"(r4), // %5
"=r"(kptr) // %6
: "0"(outptr0),
"1"(r0),
"2"(r1),
"3"(r2),
"4"(r3),
"5"(r4),
"6"(kptr)
: "memory", "v0", "v1", "v2", "v3", "v4", "v16", "v17", "v18", "v19", "v20", "v21", "v22", "v23", "v24", "v25", "v26", "v27");
#else // __aarch64__
asm volatile(
"pld [%0, #128] \n"
"vld1.f32 {d24-d25}, [%0 :128] \n" // sum0
"pld [%1, #128] \n"
"vld1.f32 {d0-d1}, [%1 :128]! \n" // r00
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmul.f32 q13, q8, d0[0] \n"
"vmul.f32 q14, q9, d0[1] \n"
"vmul.f32 q15, q10, d1[0] \n"
"vmla.f32 q12, q11, d1[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%1, #512] \n"
"vldm %1, {d2-d9} \n" // r01 r02 r03 r04
"vmla.f32 q13, q8, d2[0] \n"
"vmla.f32 q14, q9, d2[1] \n"
"vmla.f32 q15, q10, d3[0] \n"
"vmla.f32 q12, q11, d3[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q13, q8, d4[0] \n"
"vmla.f32 q14, q9, d4[1] \n"
"vmla.f32 q15, q10, d5[0] \n"
"vmla.f32 q12, q11, d5[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q13, q8, d6[0] \n"
"vmla.f32 q14, q9, d6[1] \n"
"vmla.f32 q15, q10, d7[0] \n"
"vmla.f32 q12, q11, d7[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%2, #128] \n"
"vld1.f32 {d0-d1}, [%2 :128]! \n" // r10
"vmla.f32 q13, q8, d8[0] \n"
"vmla.f32 q14, q9, d8[1] \n"
"vmla.f32 q15, q10, d9[0] \n"
"vmla.f32 q12, q11, d9[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q13, q8, d0[0] \n"
"vmla.f32 q14, q9, d0[1] \n"
"vmla.f32 q15, q10, d1[0] \n"
"vmla.f32 q12, q11, d1[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%2, #512] \n"
"vldm %2, {d2-d9} \n" // r11 r12 r13 r14
"vmla.f32 q13, q8, d2[0] \n"
"vmla.f32 q14, q9, d2[1] \n"
"vmla.f32 q15, q10, d3[0] \n"
"vmla.f32 q12, q11, d3[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q13, q8, d4[0] \n"
"vmla.f32 q14, q9, d4[1] \n"
"vmla.f32 q15, q10, d5[0] \n"
"vmla.f32 q12, q11, d5[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q13, q8, d6[0] \n"
"vmla.f32 q14, q9, d6[1] \n"
"vmla.f32 q15, q10, d7[0] \n"
"vmla.f32 q12, q11, d7[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%3, #128] \n"
"vld1.f32 {d0-d1}, [%3 :128]! \n" // r20
"vmla.f32 q13, q8, d8[0] \n"
"vmla.f32 q14, q9, d8[1] \n"
"vmla.f32 q15, q10, d9[0] \n"
"vmla.f32 q12, q11, d9[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q13, q8, d0[0] \n"
"vmla.f32 q14, q9, d0[1] \n"
"vmla.f32 q15, q10, d1[0] \n"
"vmla.f32 q12, q11, d1[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%3, #512] \n"
"vldm %3, {d2-d9} \n" // r21 r22 r23 r24
"vmla.f32 q13, q8, d2[0] \n"
"vmla.f32 q14, q9, d2[1] \n"
"vmla.f32 q15, q10, d3[0] \n"
"vmla.f32 q12, q11, d3[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q13, q8, d4[0] \n"
"vmla.f32 q14, q9, d4[1] \n"
"vmla.f32 q15, q10, d5[0] \n"
"vmla.f32 q12, q11, d5[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q13, q8, d6[0] \n"
"vmla.f32 q14, q9, d6[1] \n"
"vmla.f32 q15, q10, d7[0] \n"
"vmla.f32 q12, q11, d7[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%4, #128] \n"
"vld1.f32 {d0-d1}, [%4 :128]! \n" // r30
"vmla.f32 q13, q8, d8[0] \n"
"vmla.f32 q14, q9, d8[1] \n"
"vmla.f32 q15, q10, d9[0] \n"
"vmla.f32 q12, q11, d9[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q13, q8, d0[0] \n"
"vmla.f32 q14, q9, d0[1] \n"
"vmla.f32 q15, q10, d1[0] \n"
"vmla.f32 q12, q11, d1[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%4, #512] \n"
"vldm %4, {d2-d9} \n" // r31 r32 r33 r34
"vmla.f32 q13, q8, d2[0] \n"
"vmla.f32 q14, q9, d2[1] \n"
"vmla.f32 q15, q10, d3[0] \n"
"vmla.f32 q12, q11, d3[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q13, q8, d4[0] \n"
"vmla.f32 q14, q9, d4[1] \n"
"vmla.f32 q15, q10, d5[0] \n"
"vmla.f32 q12, q11, d5[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q13, q8, d6[0] \n"
"vmla.f32 q14, q9, d6[1] \n"
"vmla.f32 q15, q10, d7[0] \n"
"vmla.f32 q12, q11, d7[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%5, #128] \n"
"vld1.f32 {d0-d1}, [%5 :128]! \n" // r40
"vmla.f32 q13, q8, d8[0] \n"
"vmla.f32 q14, q9, d8[1] \n"
"vmla.f32 q15, q10, d9[0] \n"
"vmla.f32 q12, q11, d9[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q13, q8, d0[0] \n"
"vmla.f32 q14, q9, d0[1] \n"
"vmla.f32 q15, q10, d1[0] \n"
"vmla.f32 q12, q11, d1[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%5, #512] \n"
"vldm %5, {d2-d9} \n" // r41 r42 r43 r44
"vmla.f32 q13, q8, d2[0] \n"
"vmla.f32 q14, q9, d2[1] \n"
"vmla.f32 q15, q10, d3[0] \n"
"vmla.f32 q12, q11, d3[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q13, q8, d4[0] \n"
"vmla.f32 q14, q9, d4[1] \n"
"vmla.f32 q15, q10, d5[0] \n"
"vmla.f32 q12, q11, d5[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q13, q8, d6[0] \n"
"vmla.f32 q14, q9, d6[1] \n"
"vmla.f32 q15, q10, d7[0] \n"
"vmla.f32 q12, q11, d7[1] \n"
// "pld [%6, #512] \n"
"vldm %6, {d16-d23} \n"
"vmla.f32 q13, q8, d8[0] \n"
"vmla.f32 q14, q9, d8[1] \n"
"vmla.f32 q15, q10, d9[0] \n"
"vmla.f32 q12, q11, d9[1] \n"
"vadd.f32 q13, q13, q14 \n"
"vadd.f32 q12, q12, q15 \n"
"vadd.f32 q12, q12, q13 \n"
"sub %6, %6, #1536 \n" // kptr -= 24 * 16;
"vst1.f32 {d24-d25}, [%0 :128]! \n"
: "=r"(outptr0), // %0
"=r"(r0), // %1
"=r"(r1), // %2
"=r"(r2), // %3
"=r"(r3), // %4
"=r"(r4), // %5
"=r"(kptr) // %6
: "0"(outptr0),
"1"(r0),
"2"(r1),
"3"(r2),
"4"(r3),
"5"(r4),
"6"(kptr)
: "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15");
#endif // __aarch64__
}
r0 += 4 * 4;
r1 += 4 * 4;
r2 += 4 * 4;
r3 += 4 * 4;
r4 += 4 * 4;
}
}
}
}
static void conv5x5s2_pack4_neon(const Mat& bottom_blob, Mat& top_blob, const Mat& kernel, const Mat& _bias, const Option& opt)
{
int w = bottom_blob.w;
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) * 4;
const float* bias = _bias;
#pragma omp parallel for num_threads(opt.num_threads)
for (int p = 0; p < outch; p++)
{
Mat out0 = top_blob.channel(p);
float32x4_t _bias0 = bias ? vld1q_f32((const float*)bias + p * 4) : vdupq_n_f32(0.f);
out0.fill(_bias0);
for (int q = 0; q < inch; q++)
{
float* outptr0 = out0.row(0);
const Mat img0 = bottom_blob.channel(q);
const float* r0 = img0.row(0);
const float* r1 = img0.row(1);
const float* r2 = img0.row(2);
const float* r3 = img0.row(3);
const float* r4 = img0.row(4);
const float* kptr = (const float*)kernel.channel(p).row(q);
int i = 0;
for (; i < outh; i++)
{
int j = 0;
for (; j + 3 < outw; j += 4)
{
#if __aarch64__
asm volatile(
"prfm pldl1keep, [%0, #512] \n"
"ld1 {v20.4s, v21.4s, v22.4s, v23.4s}, [%0] \n" // sum0 sum1 sum2 sum3
"prfm pldl1keep, [%1, #512] \n"
"ld1 {v0.4s, v1.4s, v2.4s, v3.4s}, [%1], #64 \n" // r00 r01 r02 r03
"prfm pldl1keep, [%1, #512] \n"
"ld1 {v4.4s, v5.4s, v6.4s, v7.4s}, [%1], #64 \n" // r04 r05 r06 r07
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v20.4s, v16.4s, v0.s[0] \n"
"fmla v21.4s, v16.4s, v2.s[0] \n"
"fmla v22.4s, v16.4s, v4.s[0] \n"
"fmla v23.4s, v16.4s, v6.s[0] \n"
"fmla v20.4s, v17.4s, v0.s[1] \n"
"fmla v21.4s, v17.4s, v2.s[1] \n"
"fmla v22.4s, v17.4s, v4.s[1] \n"
"fmla v23.4s, v17.4s, v6.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v20.4s, v18.4s, v0.s[2] \n"
"fmla v21.4s, v18.4s, v2.s[2] \n"
"fmla v22.4s, v18.4s, v4.s[2] \n"
"fmla v23.4s, v18.4s, v6.s[2] \n"
"fmla v20.4s, v19.4s, v0.s[3] \n"
"fmla v21.4s, v19.4s, v2.s[3] \n"
"fmla v22.4s, v19.4s, v4.s[3] \n"
"fmla v23.4s, v19.4s, v6.s[3] \n"
"prfm pldl1keep, [%1, #384] \n"
"ld1 {v28.4s, v29.4s, v30.4s}, [%1] \n" // r08 r09 r010
"fmla v20.4s, v24.4s, v1.s[0] \n"
"fmla v21.4s, v24.4s, v3.s[0] \n"
"fmla v22.4s, v24.4s, v5.s[0] \n"
"fmla v23.4s, v24.4s, v7.s[0] \n"
"fmla v20.4s, v25.4s, v1.s[1] \n"
"fmla v21.4s, v25.4s, v3.s[1] \n"
"fmla v22.4s, v25.4s, v5.s[1] \n"
"fmla v23.4s, v25.4s, v7.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v20.4s, v26.4s, v1.s[2] \n"
"fmla v21.4s, v26.4s, v3.s[2] \n"
"fmla v22.4s, v26.4s, v5.s[2] \n"
"fmla v23.4s, v26.4s, v7.s[2] \n"
"fmla v20.4s, v27.4s, v1.s[3] \n"
"fmla v21.4s, v27.4s, v3.s[3] \n"
"fmla v22.4s, v27.4s, v5.s[3] \n"
"fmla v23.4s, v27.4s, v7.s[3] \n"
"fmla v20.4s, v16.4s, v2.s[0] \n"
"fmla v21.4s, v16.4s, v4.s[0] \n"
"fmla v22.4s, v16.4s, v6.s[0] \n"
"fmla v23.4s, v16.4s, v28.s[0] \n"
"fmla v20.4s, v17.4s, v2.s[1] \n"
"fmla v21.4s, v17.4s, v4.s[1] \n"
"fmla v22.4s, v17.4s, v6.s[1] \n"
"fmla v23.4s, v17.4s, v28.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v20.4s, v18.4s, v2.s[2] \n"
"fmla v21.4s, v18.4s, v4.s[2] \n"
"fmla v22.4s, v18.4s, v6.s[2] \n"
"fmla v23.4s, v18.4s, v28.s[2] \n"
"fmla v20.4s, v19.4s, v2.s[3] \n"
"fmla v21.4s, v19.4s, v4.s[3] \n"
"fmla v22.4s, v19.4s, v6.s[3] \n"
"fmla v23.4s, v19.4s, v28.s[3] \n"
"fmla v20.4s, v24.4s, v3.s[0] \n"
"fmla v21.4s, v24.4s, v5.s[0] \n"
"fmla v22.4s, v24.4s, v7.s[0] \n"
"fmla v23.4s, v24.4s, v29.s[0] \n"
"fmla v20.4s, v25.4s, v3.s[1] \n"
"fmla v21.4s, v25.4s, v5.s[1] \n"
"fmla v22.4s, v25.4s, v7.s[1] \n"
"fmla v23.4s, v25.4s, v29.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v20.4s, v26.4s, v3.s[2] \n"
"fmla v21.4s, v26.4s, v5.s[2] \n"
"fmla v22.4s, v26.4s, v7.s[2] \n"
"fmla v23.4s, v26.4s, v29.s[2] \n"
"fmla v20.4s, v27.4s, v3.s[3] \n"
"fmla v21.4s, v27.4s, v5.s[3] \n"
"fmla v22.4s, v27.4s, v7.s[3] \n"
"fmla v23.4s, v27.4s, v29.s[3] \n"
"prfm pldl1keep, [%2, #512] \n"
"ld1 {v0.4s, v1.4s, v2.4s, v3.4s}, [%2], #64 \n" // r10 r11 r12 r13
"fmla v20.4s, v16.4s, v4.s[0] \n"
"fmla v21.4s, v16.4s, v6.s[0] \n"
"fmla v22.4s, v16.4s, v28.s[0] \n"
"fmla v23.4s, v16.4s, v30.s[0] \n"
"fmla v20.4s, v17.4s, v4.s[1] \n"
"fmla v21.4s, v17.4s, v6.s[1] \n"
"fmla v22.4s, v17.4s, v28.s[1] \n"
"fmla v23.4s, v17.4s, v30.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v20.4s, v18.4s, v4.s[2] \n"
"fmla v21.4s, v18.4s, v6.s[2] \n"
"fmla v22.4s, v18.4s, v28.s[2] \n"
"fmla v23.4s, v18.4s, v30.s[2] \n"
"fmla v20.4s, v19.4s, v4.s[3] \n"
"fmla v21.4s, v19.4s, v6.s[3] \n"
"fmla v22.4s, v19.4s, v28.s[3] \n"
"fmla v23.4s, v19.4s, v30.s[3] \n"
"prfm pldl1keep, [%2, #512] \n"
"ld1 {v4.4s, v5.4s, v6.4s, v7.4s}, [%2], #64 \n" // r14 r15 r16 r17
"fmla v20.4s, v24.4s, v0.s[0] \n"
"fmla v21.4s, v24.4s, v2.s[0] \n"
"fmla v22.4s, v24.4s, v4.s[0] \n"
"fmla v23.4s, v24.4s, v6.s[0] \n"
"fmla v20.4s, v25.4s, v0.s[1] \n"
"fmla v21.4s, v25.4s, v2.s[1] \n"
"fmla v22.4s, v25.4s, v4.s[1] \n"
"fmla v23.4s, v25.4s, v6.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v20.4s, v26.4s, v0.s[2] \n"
"fmla v21.4s, v26.4s, v2.s[2] \n"
"fmla v22.4s, v26.4s, v4.s[2] \n"
"fmla v23.4s, v26.4s, v6.s[2] \n"
"fmla v20.4s, v27.4s, v0.s[3] \n"
"fmla v21.4s, v27.4s, v2.s[3] \n"
"fmla v22.4s, v27.4s, v4.s[3] \n"
"fmla v23.4s, v27.4s, v6.s[3] \n"
"prfm pldl1keep, [%2, #384] \n"
"ld1 {v28.4s, v29.4s, v30.4s}, [%2] \n" // r18 r19 r110
"fmla v20.4s, v16.4s, v1.s[0] \n"
"fmla v21.4s, v16.4s, v3.s[0] \n"
"fmla v22.4s, v16.4s, v5.s[0] \n"
"fmla v23.4s, v16.4s, v7.s[0] \n"
"fmla v20.4s, v17.4s, v1.s[1] \n"
"fmla v21.4s, v17.4s, v3.s[1] \n"
"fmla v22.4s, v17.4s, v5.s[1] \n"
"fmla v23.4s, v17.4s, v7.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v20.4s, v18.4s, v1.s[2] \n"
"fmla v21.4s, v18.4s, v3.s[2] \n"
"fmla v22.4s, v18.4s, v5.s[2] \n"
"fmla v23.4s, v18.4s, v7.s[2] \n"
"fmla v20.4s, v19.4s, v1.s[3] \n"
"fmla v21.4s, v19.4s, v3.s[3] \n"
"fmla v22.4s, v19.4s, v5.s[3] \n"
"fmla v23.4s, v19.4s, v7.s[3] \n"
"fmla v20.4s, v24.4s, v2.s[0] \n"
"fmla v21.4s, v24.4s, v4.s[0] \n"
"fmla v22.4s, v24.4s, v6.s[0] \n"
"fmla v23.4s, v24.4s, v28.s[0] \n"
"fmla v20.4s, v25.4s, v2.s[1] \n"
"fmla v21.4s, v25.4s, v4.s[1] \n"
"fmla v22.4s, v25.4s, v6.s[1] \n"
"fmla v23.4s, v25.4s, v28.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v20.4s, v26.4s, v2.s[2] \n"
"fmla v21.4s, v26.4s, v4.s[2] \n"
"fmla v22.4s, v26.4s, v6.s[2] \n"
"fmla v23.4s, v26.4s, v28.s[2] \n"
"fmla v20.4s, v27.4s, v2.s[3] \n"
"fmla v21.4s, v27.4s, v4.s[3] \n"
"fmla v22.4s, v27.4s, v6.s[3] \n"
"fmla v23.4s, v27.4s, v28.s[3] \n"
"fmla v20.4s, v16.4s, v3.s[0] \n"
"fmla v21.4s, v16.4s, v5.s[0] \n"
"fmla v22.4s, v16.4s, v7.s[0] \n"
"fmla v23.4s, v16.4s, v29.s[0] \n"
"fmla v20.4s, v17.4s, v3.s[1] \n"
"fmla v21.4s, v17.4s, v5.s[1] \n"
"fmla v22.4s, v17.4s, v7.s[1] \n"
"fmla v23.4s, v17.4s, v29.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v20.4s, v18.4s, v3.s[2] \n"
"fmla v21.4s, v18.4s, v5.s[2] \n"
"fmla v22.4s, v18.4s, v7.s[2] \n"
"fmla v23.4s, v18.4s, v29.s[2] \n"
"fmla v20.4s, v19.4s, v3.s[3] \n"
"fmla v21.4s, v19.4s, v5.s[3] \n"
"fmla v22.4s, v19.4s, v7.s[3] \n"
"fmla v23.4s, v19.4s, v29.s[3] \n"
"prfm pldl1keep, [%3, #512] \n"
"ld1 {v0.4s, v1.4s, v2.4s, v3.4s}, [%3], #64 \n" // r20 r21 r22 r23
"fmla v20.4s, v24.4s, v4.s[0] \n"
"fmla v21.4s, v24.4s, v6.s[0] \n"
"fmla v22.4s, v24.4s, v28.s[0] \n"
"fmla v23.4s, v24.4s, v30.s[0] \n"
"fmla v20.4s, v25.4s, v4.s[1] \n"
"fmla v21.4s, v25.4s, v6.s[1] \n"
"fmla v22.4s, v25.4s, v28.s[1] \n"
"fmla v23.4s, v25.4s, v30.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v20.4s, v26.4s, v4.s[2] \n"
"fmla v21.4s, v26.4s, v6.s[2] \n"
"fmla v22.4s, v26.4s, v28.s[2] \n"
"fmla v23.4s, v26.4s, v30.s[2] \n"
"fmla v20.4s, v27.4s, v4.s[3] \n"
"fmla v21.4s, v27.4s, v6.s[3] \n"
"fmla v22.4s, v27.4s, v28.s[3] \n"
"fmla v23.4s, v27.4s, v30.s[3] \n"
"prfm pldl1keep, [%3, #512] \n"
"ld1 {v4.4s, v5.4s, v6.4s, v7.4s}, [%3], #64 \n" // r24 r25 r26 r27
"fmla v20.4s, v16.4s, v0.s[0] \n"
"fmla v21.4s, v16.4s, v2.s[0] \n"
"fmla v22.4s, v16.4s, v4.s[0] \n"
"fmla v23.4s, v16.4s, v6.s[0] \n"
"fmla v20.4s, v17.4s, v0.s[1] \n"
"fmla v21.4s, v17.4s, v2.s[1] \n"
"fmla v22.4s, v17.4s, v4.s[1] \n"
"fmla v23.4s, v17.4s, v6.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v20.4s, v18.4s, v0.s[2] \n"
"fmla v21.4s, v18.4s, v2.s[2] \n"
"fmla v22.4s, v18.4s, v4.s[2] \n"
"fmla v23.4s, v18.4s, v6.s[2] \n"
"fmla v20.4s, v19.4s, v0.s[3] \n"
"fmla v21.4s, v19.4s, v2.s[3] \n"
"fmla v22.4s, v19.4s, v4.s[3] \n"
"fmla v23.4s, v19.4s, v6.s[3] \n"
"prfm pldl1keep, [%3, #384] \n"
"ld1 {v28.4s, v29.4s, v30.4s}, [%3] \n" // r28 r29 r210
"fmla v20.4s, v24.4s, v1.s[0] \n"
"fmla v21.4s, v24.4s, v3.s[0] \n"
"fmla v22.4s, v24.4s, v5.s[0] \n"
"fmla v23.4s, v24.4s, v7.s[0] \n"
"fmla v20.4s, v25.4s, v1.s[1] \n"
"fmla v21.4s, v25.4s, v3.s[1] \n"
"fmla v22.4s, v25.4s, v5.s[1] \n"
"fmla v23.4s, v25.4s, v7.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v20.4s, v26.4s, v1.s[2] \n"
"fmla v21.4s, v26.4s, v3.s[2] \n"
"fmla v22.4s, v26.4s, v5.s[2] \n"
"fmla v23.4s, v26.4s, v7.s[2] \n"
"fmla v20.4s, v27.4s, v1.s[3] \n"
"fmla v21.4s, v27.4s, v3.s[3] \n"
"fmla v22.4s, v27.4s, v5.s[3] \n"
"fmla v23.4s, v27.4s, v7.s[3] \n"
"fmla v20.4s, v16.4s, v2.s[0] \n"
"fmla v21.4s, v16.4s, v4.s[0] \n"
"fmla v22.4s, v16.4s, v6.s[0] \n"
"fmla v23.4s, v16.4s, v28.s[0] \n"
"fmla v20.4s, v17.4s, v2.s[1] \n"
"fmla v21.4s, v17.4s, v4.s[1] \n"
"fmla v22.4s, v17.4s, v6.s[1] \n"
"fmla v23.4s, v17.4s, v28.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v20.4s, v18.4s, v2.s[2] \n"
"fmla v21.4s, v18.4s, v4.s[2] \n"
"fmla v22.4s, v18.4s, v6.s[2] \n"
"fmla v23.4s, v18.4s, v28.s[2] \n"
"fmla v20.4s, v19.4s, v2.s[3] \n"
"fmla v21.4s, v19.4s, v4.s[3] \n"
"fmla v22.4s, v19.4s, v6.s[3] \n"
"fmla v23.4s, v19.4s, v28.s[3] \n"
"fmla v20.4s, v24.4s, v3.s[0] \n"
"fmla v21.4s, v24.4s, v5.s[0] \n"
"fmla v22.4s, v24.4s, v7.s[0] \n"
"fmla v23.4s, v24.4s, v29.s[0] \n"
"fmla v20.4s, v25.4s, v3.s[1] \n"
"fmla v21.4s, v25.4s, v5.s[1] \n"
"fmla v22.4s, v25.4s, v7.s[1] \n"
"fmla v23.4s, v25.4s, v29.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v20.4s, v26.4s, v3.s[2] \n"
"fmla v21.4s, v26.4s, v5.s[2] \n"
"fmla v22.4s, v26.4s, v7.s[2] \n"
"fmla v23.4s, v26.4s, v29.s[2] \n"
"fmla v20.4s, v27.4s, v3.s[3] \n"
"fmla v21.4s, v27.4s, v5.s[3] \n"
"fmla v22.4s, v27.4s, v7.s[3] \n"
"fmla v23.4s, v27.4s, v29.s[3] \n"
"prfm pldl1keep, [%4, #512] \n"
"ld1 {v0.4s, v1.4s, v2.4s, v3.4s}, [%4], #64 \n" // r30 r31 r32 r33
"fmla v20.4s, v16.4s, v4.s[0] \n"
"fmla v21.4s, v16.4s, v6.s[0] \n"
"fmla v22.4s, v16.4s, v28.s[0] \n"
"fmla v23.4s, v16.4s, v30.s[0] \n"
"fmla v20.4s, v17.4s, v4.s[1] \n"
"fmla v21.4s, v17.4s, v6.s[1] \n"
"fmla v22.4s, v17.4s, v28.s[1] \n"
"fmla v23.4s, v17.4s, v30.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v20.4s, v18.4s, v4.s[2] \n"
"fmla v21.4s, v18.4s, v6.s[2] \n"
"fmla v22.4s, v18.4s, v28.s[2] \n"
"fmla v23.4s, v18.4s, v30.s[2] \n"
"fmla v20.4s, v19.4s, v4.s[3] \n"
"fmla v21.4s, v19.4s, v6.s[3] \n"
"fmla v22.4s, v19.4s, v28.s[3] \n"
"fmla v23.4s, v19.4s, v30.s[3] \n"
"prfm pldl1keep, [%4, #512] \n"
"ld1 {v4.4s, v5.4s, v6.4s, v7.4s}, [%4], #64 \n" // r34 r35 r36 r37
"fmla v20.4s, v24.4s, v0.s[0] \n"
"fmla v21.4s, v24.4s, v2.s[0] \n"
"fmla v22.4s, v24.4s, v4.s[0] \n"
"fmla v23.4s, v24.4s, v6.s[0] \n"
"fmla v20.4s, v25.4s, v0.s[1] \n"
"fmla v21.4s, v25.4s, v2.s[1] \n"
"fmla v22.4s, v25.4s, v4.s[1] \n"
"fmla v23.4s, v25.4s, v6.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v20.4s, v26.4s, v0.s[2] \n"
"fmla v21.4s, v26.4s, v2.s[2] \n"
"fmla v22.4s, v26.4s, v4.s[2] \n"
"fmla v23.4s, v26.4s, v6.s[2] \n"
"fmla v20.4s, v27.4s, v0.s[3] \n"
"fmla v21.4s, v27.4s, v2.s[3] \n"
"fmla v22.4s, v27.4s, v4.s[3] \n"
"fmla v23.4s, v27.4s, v6.s[3] \n"
"prfm pldl1keep, [%4, #384] \n"
"ld1 {v28.4s, v29.4s, v30.4s}, [%4] \n" // r38 r39 r310
"fmla v20.4s, v16.4s, v1.s[0] \n"
"fmla v21.4s, v16.4s, v3.s[0] \n"
"fmla v22.4s, v16.4s, v5.s[0] \n"
"fmla v23.4s, v16.4s, v7.s[0] \n"
"fmla v20.4s, v17.4s, v1.s[1] \n"
"fmla v21.4s, v17.4s, v3.s[1] \n"
"fmla v22.4s, v17.4s, v5.s[1] \n"
"fmla v23.4s, v17.4s, v7.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v20.4s, v18.4s, v1.s[2] \n"
"fmla v21.4s, v18.4s, v3.s[2] \n"
"fmla v22.4s, v18.4s, v5.s[2] \n"
"fmla v23.4s, v18.4s, v7.s[2] \n"
"fmla v20.4s, v19.4s, v1.s[3] \n"
"fmla v21.4s, v19.4s, v3.s[3] \n"
"fmla v22.4s, v19.4s, v5.s[3] \n"
"fmla v23.4s, v19.4s, v7.s[3] \n"
"fmla v20.4s, v24.4s, v2.s[0] \n"
"fmla v21.4s, v24.4s, v4.s[0] \n"
"fmla v22.4s, v24.4s, v6.s[0] \n"
"fmla v23.4s, v24.4s, v28.s[0] \n"
"fmla v20.4s, v25.4s, v2.s[1] \n"
"fmla v21.4s, v25.4s, v4.s[1] \n"
"fmla v22.4s, v25.4s, v6.s[1] \n"
"fmla v23.4s, v25.4s, v28.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v20.4s, v26.4s, v2.s[2] \n"
"fmla v21.4s, v26.4s, v4.s[2] \n"
"fmla v22.4s, v26.4s, v6.s[2] \n"
"fmla v23.4s, v26.4s, v28.s[2] \n"
"fmla v20.4s, v27.4s, v2.s[3] \n"
"fmla v21.4s, v27.4s, v4.s[3] \n"
"fmla v22.4s, v27.4s, v6.s[3] \n"
"fmla v23.4s, v27.4s, v28.s[3] \n"
"fmla v20.4s, v16.4s, v3.s[0] \n"
"fmla v21.4s, v16.4s, v5.s[0] \n"
"fmla v22.4s, v16.4s, v7.s[0] \n"
"fmla v23.4s, v16.4s, v29.s[0] \n"
"fmla v20.4s, v17.4s, v3.s[1] \n"
"fmla v21.4s, v17.4s, v5.s[1] \n"
"fmla v22.4s, v17.4s, v7.s[1] \n"
"fmla v23.4s, v17.4s, v29.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v20.4s, v18.4s, v3.s[2] \n"
"fmla v21.4s, v18.4s, v5.s[2] \n"
"fmla v22.4s, v18.4s, v7.s[2] \n"
"fmla v23.4s, v18.4s, v29.s[2] \n"
"fmla v20.4s, v19.4s, v3.s[3] \n"
"fmla v21.4s, v19.4s, v5.s[3] \n"
"fmla v22.4s, v19.4s, v7.s[3] \n"
"fmla v23.4s, v19.4s, v29.s[3] \n"
"prfm pldl1keep, [%5, #512] \n"
"ld1 {v0.4s, v1.4s, v2.4s, v3.4s}, [%5], #64 \n" // r40 r41 r42 r43
"fmla v20.4s, v24.4s, v4.s[0] \n"
"fmla v21.4s, v24.4s, v6.s[0] \n"
"fmla v22.4s, v24.4s, v28.s[0] \n"
"fmla v23.4s, v24.4s, v30.s[0] \n"
"fmla v20.4s, v25.4s, v4.s[1] \n"
"fmla v21.4s, v25.4s, v6.s[1] \n"
"fmla v22.4s, v25.4s, v28.s[1] \n"
"fmla v23.4s, v25.4s, v30.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v20.4s, v26.4s, v4.s[2] \n"
"fmla v21.4s, v26.4s, v6.s[2] \n"
"fmla v22.4s, v26.4s, v28.s[2] \n"
"fmla v23.4s, v26.4s, v30.s[2] \n"
"fmla v20.4s, v27.4s, v4.s[3] \n"
"fmla v21.4s, v27.4s, v6.s[3] \n"
"fmla v22.4s, v27.4s, v28.s[3] \n"
"fmla v23.4s, v27.4s, v30.s[3] \n"
"prfm pldl1keep, [%5, #512] \n"
"ld1 {v4.4s, v5.4s, v6.4s, v7.4s}, [%5], #64 \n" // r44 r45 r46 r47
"fmla v20.4s, v16.4s, v0.s[0] \n"
"fmla v21.4s, v16.4s, v2.s[0] \n"
"fmla v22.4s, v16.4s, v4.s[0] \n"
"fmla v23.4s, v16.4s, v6.s[0] \n"
"fmla v20.4s, v17.4s, v0.s[1] \n"
"fmla v21.4s, v17.4s, v2.s[1] \n"
"fmla v22.4s, v17.4s, v4.s[1] \n"
"fmla v23.4s, v17.4s, v6.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v20.4s, v18.4s, v0.s[2] \n"
"fmla v21.4s, v18.4s, v2.s[2] \n"
"fmla v22.4s, v18.4s, v4.s[2] \n"
"fmla v23.4s, v18.4s, v6.s[2] \n"
"fmla v20.4s, v19.4s, v0.s[3] \n"
"fmla v21.4s, v19.4s, v2.s[3] \n"
"fmla v22.4s, v19.4s, v4.s[3] \n"
"fmla v23.4s, v19.4s, v6.s[3] \n"
"prfm pldl1keep, [%5, #384] \n"
"ld1 {v28.4s, v29.4s, v30.4s}, [%5] \n" // r48 r49 r410
"fmla v20.4s, v24.4s, v1.s[0] \n"
"fmla v21.4s, v24.4s, v3.s[0] \n"
"fmla v22.4s, v24.4s, v5.s[0] \n"
"fmla v23.4s, v24.4s, v7.s[0] \n"
"fmla v20.4s, v25.4s, v1.s[1] \n"
"fmla v21.4s, v25.4s, v3.s[1] \n"
"fmla v22.4s, v25.4s, v5.s[1] \n"
"fmla v23.4s, v25.4s, v7.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v20.4s, v26.4s, v1.s[2] \n"
"fmla v21.4s, v26.4s, v3.s[2] \n"
"fmla v22.4s, v26.4s, v5.s[2] \n"
"fmla v23.4s, v26.4s, v7.s[2] \n"
"fmla v20.4s, v27.4s, v1.s[3] \n"
"fmla v21.4s, v27.4s, v3.s[3] \n"
"fmla v22.4s, v27.4s, v5.s[3] \n"
"fmla v23.4s, v27.4s, v7.s[3] \n"
"fmla v20.4s, v16.4s, v2.s[0] \n"
"fmla v21.4s, v16.4s, v4.s[0] \n"
"fmla v22.4s, v16.4s, v6.s[0] \n"
"fmla v23.4s, v16.4s, v28.s[0] \n"
"fmla v20.4s, v17.4s, v2.s[1] \n"
"fmla v21.4s, v17.4s, v4.s[1] \n"
"fmla v22.4s, v17.4s, v6.s[1] \n"
"fmla v23.4s, v17.4s, v28.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v20.4s, v18.4s, v2.s[2] \n"
"fmla v21.4s, v18.4s, v4.s[2] \n"
"fmla v22.4s, v18.4s, v6.s[2] \n"
"fmla v23.4s, v18.4s, v28.s[2] \n"
"fmla v20.4s, v19.4s, v2.s[3] \n"
"fmla v21.4s, v19.4s, v4.s[3] \n"
"fmla v22.4s, v19.4s, v6.s[3] \n"
"fmla v23.4s, v19.4s, v28.s[3] \n"
"fmla v20.4s, v24.4s, v3.s[0] \n"
"fmla v21.4s, v24.4s, v5.s[0] \n"
"fmla v22.4s, v24.4s, v7.s[0] \n"
"fmla v23.4s, v24.4s, v29.s[0] \n"
"fmla v20.4s, v25.4s, v3.s[1] \n"
"fmla v21.4s, v25.4s, v5.s[1] \n"
"fmla v22.4s, v25.4s, v7.s[1] \n"
"fmla v23.4s, v25.4s, v29.s[1] \n"
// "prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6] \n"
"fmla v20.4s, v26.4s, v3.s[2] \n"
"fmla v21.4s, v26.4s, v5.s[2] \n"
"fmla v22.4s, v26.4s, v7.s[2] \n"
"fmla v23.4s, v26.4s, v29.s[2] \n"
"fmla v20.4s, v27.4s, v3.s[3] \n"
"fmla v21.4s, v27.4s, v5.s[3] \n"
"fmla v22.4s, v27.4s, v7.s[3] \n"
"fmla v23.4s, v27.4s, v29.s[3] \n"
"fmla v20.4s, v16.4s, v4.s[0] \n"
"fmla v21.4s, v16.4s, v6.s[0] \n"
"fmla v22.4s, v16.4s, v28.s[0] \n"
"fmla v23.4s, v16.4s, v30.s[0] \n"
"fmla v20.4s, v17.4s, v4.s[1] \n"
"fmla v21.4s, v17.4s, v6.s[1] \n"
"fmla v22.4s, v17.4s, v28.s[1] \n"
"fmla v23.4s, v17.4s, v30.s[1] \n"
"fmla v20.4s, v18.4s, v4.s[2] \n"
"fmla v21.4s, v18.4s, v6.s[2] \n"
"fmla v22.4s, v18.4s, v28.s[2] \n"
"fmla v23.4s, v18.4s, v30.s[2] \n"
"fmla v20.4s, v19.4s, v4.s[3] \n"
"fmla v21.4s, v19.4s, v6.s[3] \n"
"fmla v22.4s, v19.4s, v28.s[3] \n"
"fmla v23.4s, v19.4s, v30.s[3] \n"
"sub %6, %6, #1536 \n" // kptr -= 24 * 16;
"st1 {v20.4s, v21.4s, v22.4s, v23.4s}, [%0], #64 \n"
: "=r"(outptr0), // %0
"=r"(r0), // %1
"=r"(r1), // %2
"=r"(r2), // %3
"=r"(r3), // %4
"=r"(r4), // %5
"=r"(kptr) // %6
: "0"(outptr0),
"1"(r0),
"2"(r1),
"3"(r2),
"4"(r3),
"5"(r4),
"6"(kptr)
: "memory", "v0", "v1", "v2", "v3", "v4", "v5", "v6", "v7", "v16", "v17", "v18", "v19", "v20", "v21", "v22", "v23", "v24", "v25", "v26", "v27", "v28", "v29", "v30");
#else // __aarch64__
asm volatile(
"pld [%0, #512] \n"
"vldm %0, {d24-d31} \n" // sum0 sum1 sum2 sum3
"pld [%1, #512] \n"
"vldm %1!, {d0-d7} \n" // r00 r01 r02 r03
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%1, #512] \n"
"vldm %1!, {d8-d15} \n" // r04 r05 r06 r07
"vmla.f32 q12, q8, d0[0] \n"
"vmla.f32 q13, q8, d4[0] \n"
"vmla.f32 q14, q8, d8[0] \n"
"vmla.f32 q15, q8, d12[0] \n"
"vmla.f32 q12, q9, d0[1] \n"
"vmla.f32 q13, q9, d4[1] \n"
"vmla.f32 q14, q9, d8[1] \n"
"vmla.f32 q15, q9, d12[1] \n"
"vmla.f32 q12, q10, d1[0] \n"
"vmla.f32 q13, q10, d5[0] \n"
"vmla.f32 q14, q10, d9[0] \n"
"vmla.f32 q15, q10, d13[0] \n"
"vmla.f32 q12, q11, d1[1] \n"
"vmla.f32 q13, q11, d5[1] \n"
"vmla.f32 q14, q11, d9[1] \n"
"vmla.f32 q15, q11, d13[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q12, q8, d2[0] \n"
"vmla.f32 q13, q8, d6[0] \n"
"vmla.f32 q14, q8, d10[0] \n"
"vmla.f32 q15, q8, d14[0] \n"
"vmla.f32 q12, q9, d2[1] \n"
"vmla.f32 q13, q9, d6[1] \n"
"vmla.f32 q14, q9, d10[1] \n"
"vmla.f32 q15, q9, d14[1] \n"
"vmla.f32 q12, q10, d3[0] \n"
"vmla.f32 q13, q10, d7[0] \n"
"vmla.f32 q14, q10, d11[0] \n"
"vmla.f32 q15, q10, d15[0] \n"
"vmla.f32 q12, q11, d3[1] \n"
"vmla.f32 q13, q11, d7[1] \n"
"vmla.f32 q14, q11, d11[1] \n"
"vmla.f32 q15, q11, d15[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%1, #256] \n"
"vld1.f32 {d0-d3}, [%1 :128]! \n" // r08 r09
"vmla.f32 q12, q8, d4[0] \n"
"vmla.f32 q13, q8, d8[0] \n"
"vmla.f32 q14, q8, d12[0] \n"
"vmla.f32 q15, q8, d0[0] \n"
"vmla.f32 q12, q9, d4[1] \n"
"vmla.f32 q13, q9, d8[1] \n"
"vmla.f32 q14, q9, d12[1] \n"
"vmla.f32 q15, q9, d0[1] \n"
"vmla.f32 q12, q10, d5[0] \n"
"vmla.f32 q13, q10, d9[0] \n"
"vmla.f32 q14, q10, d13[0] \n"
"vmla.f32 q15, q10, d1[0] \n"
"vmla.f32 q12, q11, d5[1] \n"
"vmla.f32 q13, q11, d9[1] \n"
"vmla.f32 q14, q11, d13[1] \n"
"vmla.f32 q15, q11, d1[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q12, q8, d6[0] \n"
"vmla.f32 q13, q8, d10[0] \n"
"vmla.f32 q14, q8, d14[0] \n"
"vmla.f32 q15, q8, d2[0] \n"
"vmla.f32 q12, q9, d6[1] \n"
"vmla.f32 q13, q9, d10[1] \n"
"vmla.f32 q14, q9, d14[1] \n"
"vmla.f32 q15, q9, d2[1] \n"
"vmla.f32 q12, q10, d7[0] \n"
"vmla.f32 q13, q10, d11[0] \n"
"vmla.f32 q14, q10, d15[0] \n"
"vmla.f32 q15, q10, d3[0] \n"
"vmla.f32 q12, q11, d7[1] \n"
"vmla.f32 q13, q11, d11[1] \n"
"vmla.f32 q14, q11, d15[1] \n"
"vmla.f32 q15, q11, d3[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%1, #128] \n"
"vld1.f32 {d4-d5}, [%1 :128] \n" // r010
"vmla.f32 q12, q8, d8[0] \n"
"vmla.f32 q13, q8, d12[0] \n"
"vmla.f32 q14, q8, d0[0] \n"
"vmla.f32 q15, q8, d4[0] \n"
"vmla.f32 q12, q9, d8[1] \n"
"vmla.f32 q13, q9, d12[1] \n"
"vmla.f32 q14, q9, d0[1] \n"
"vmla.f32 q15, q9, d4[1] \n"
"vmla.f32 q12, q10, d9[0] \n"
"vmla.f32 q13, q10, d13[0] \n"
"vmla.f32 q14, q10, d1[0] \n"
"vmla.f32 q15, q10, d5[0] \n"
"vmla.f32 q12, q11, d9[1] \n"
"vmla.f32 q13, q11, d13[1] \n"
"pld [%2, #512] \n"
"vldm %2!, {d8-d15} \n" // r10 r11 r12 r13
"vmla.f32 q14, q11, d1[1] \n"
"vmla.f32 q15, q11, d5[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%2, #512] \n"
"vldm %2!, {d0-d7} \n" // r14 r15 r16 r17
"vmla.f32 q12, q8, d8[0] \n"
"vmla.f32 q13, q8, d12[0] \n"
"vmla.f32 q14, q8, d0[0] \n"
"vmla.f32 q15, q8, d4[0] \n"
"vmla.f32 q12, q9, d8[1] \n"
"vmla.f32 q13, q9, d12[1] \n"
"vmla.f32 q14, q9, d0[1] \n"
"vmla.f32 q15, q9, d4[1] \n"
"vmla.f32 q12, q10, d9[0] \n"
"vmla.f32 q13, q10, d13[0] \n"
"vmla.f32 q14, q10, d1[0] \n"
"vmla.f32 q15, q10, d5[0] \n"
"vmla.f32 q12, q11, d9[1] \n"
"vmla.f32 q13, q11, d13[1] \n"
"vmla.f32 q14, q11, d1[1] \n"
"vmla.f32 q15, q11, d5[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q12, q8, d10[0] \n"
"vmla.f32 q13, q8, d14[0] \n"
"vmla.f32 q14, q8, d2[0] \n"
"vmla.f32 q15, q8, d6[0] \n"
"vmla.f32 q12, q9, d10[1] \n"
"vmla.f32 q13, q9, d14[1] \n"
"vmla.f32 q14, q9, d2[1] \n"
"vmla.f32 q15, q9, d6[1] \n"
"vmla.f32 q12, q10, d11[0] \n"
"vmla.f32 q13, q10, d15[0] \n"
"vmla.f32 q14, q10, d3[0] \n"
"vmla.f32 q15, q10, d7[0] \n"
"vmla.f32 q12, q11, d11[1] \n"
"vmla.f32 q13, q11, d15[1] \n"
"vmla.f32 q14, q11, d3[1] \n"
"vmla.f32 q15, q11, d7[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%2, #256] \n"
"vld1.f32 {d8-d11}, [%2 :128]! \n" // r18 r19
"vmla.f32 q12, q8, d12[0] \n"
"vmla.f32 q13, q8, d0[0] \n"
"vmla.f32 q14, q8, d4[0] \n"
"vmla.f32 q15, q8, d8[0] \n"
"vmla.f32 q12, q9, d12[1] \n"
"vmla.f32 q13, q9, d0[1] \n"
"vmla.f32 q14, q9, d4[1] \n"
"vmla.f32 q15, q9, d8[1] \n"
"vmla.f32 q12, q10, d13[0] \n"
"vmla.f32 q13, q10, d1[0] \n"
"vmla.f32 q14, q10, d5[0] \n"
"vmla.f32 q15, q10, d9[0] \n"
"vmla.f32 q12, q11, d13[1] \n"
"vmla.f32 q13, q11, d1[1] \n"
"vmla.f32 q14, q11, d5[1] \n"
"vmla.f32 q15, q11, d9[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q12, q8, d14[0] \n"
"vmla.f32 q13, q8, d2[0] \n"
"vmla.f32 q14, q8, d6[0] \n"
"vmla.f32 q15, q8, d10[0] \n"
"vmla.f32 q12, q9, d14[1] \n"
"vmla.f32 q13, q9, d2[1] \n"
"vmla.f32 q14, q9, d6[1] \n"
"vmla.f32 q15, q9, d10[1] \n"
"vmla.f32 q12, q10, d15[0] \n"
"vmla.f32 q13, q10, d3[0] \n"
"vmla.f32 q14, q10, d7[0] \n"
"vmla.f32 q15, q10, d11[0] \n"
"vmla.f32 q12, q11, d15[1] \n"
"vmla.f32 q13, q11, d3[1] \n"
"vmla.f32 q14, q11, d7[1] \n"
"vmla.f32 q15, q11, d11[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%2, #128] \n"
"vld1.f32 {d12-d13}, [%2 :128] \n" // r110
"vmla.f32 q12, q8, d0[0] \n"
"vmla.f32 q13, q8, d4[0] \n"
"vmla.f32 q14, q8, d8[0] \n"
"vmla.f32 q15, q8, d12[0] \n"
"vmla.f32 q12, q9, d0[1] \n"
"vmla.f32 q13, q9, d4[1] \n"
"vmla.f32 q14, q9, d8[1] \n"
"vmla.f32 q15, q9, d12[1] \n"
"vmla.f32 q12, q10, d1[0] \n"
"vmla.f32 q13, q10, d5[0] \n"
"vmla.f32 q14, q10, d9[0] \n"
"vmla.f32 q15, q10, d13[0] \n"
"vmla.f32 q12, q11, d1[1] \n"
"vmla.f32 q13, q11, d5[1] \n"
"pld [%3, #512] \n"
"vldm %3!, {d0-d7} \n" // r20 r21 r22 r23
"vmla.f32 q14, q11, d9[1] \n"
"vmla.f32 q15, q11, d13[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%3, #512] \n"
"vldm %3!, {d8-d15} \n" // r24 r25 r26 r27
"vmla.f32 q12, q8, d0[0] \n"
"vmla.f32 q13, q8, d4[0] \n"
"vmla.f32 q14, q8, d8[0] \n"
"vmla.f32 q15, q8, d12[0] \n"
"vmla.f32 q12, q9, d0[1] \n"
"vmla.f32 q13, q9, d4[1] \n"
"vmla.f32 q14, q9, d8[1] \n"
"vmla.f32 q15, q9, d12[1] \n"
"vmla.f32 q12, q10, d1[0] \n"
"vmla.f32 q13, q10, d5[0] \n"
"vmla.f32 q14, q10, d9[0] \n"
"vmla.f32 q15, q10, d13[0] \n"
"vmla.f32 q12, q11, d1[1] \n"
"vmla.f32 q13, q11, d5[1] \n"
"vmla.f32 q14, q11, d9[1] \n"
"vmla.f32 q15, q11, d13[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q12, q8, d2[0] \n"
"vmla.f32 q13, q8, d6[0] \n"
"vmla.f32 q14, q8, d10[0] \n"
"vmla.f32 q15, q8, d14[0] \n"
"vmla.f32 q12, q9, d2[1] \n"
"vmla.f32 q13, q9, d6[1] \n"
"vmla.f32 q14, q9, d10[1] \n"
"vmla.f32 q15, q9, d14[1] \n"
"vmla.f32 q12, q10, d3[0] \n"
"vmla.f32 q13, q10, d7[0] \n"
"vmla.f32 q14, q10, d11[0] \n"
"vmla.f32 q15, q10, d15[0] \n"
"vmla.f32 q12, q11, d3[1] \n"
"vmla.f32 q13, q11, d7[1] \n"
"vmla.f32 q14, q11, d11[1] \n"
"vmla.f32 q15, q11, d15[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%3, #256] \n"
"vld1.f32 {d0-d3}, [%3 :128]! \n" // r28 r29
"vmla.f32 q12, q8, d4[0] \n"
"vmla.f32 q13, q8, d8[0] \n"
"vmla.f32 q14, q8, d12[0] \n"
"vmla.f32 q15, q8, d0[0] \n"
"vmla.f32 q12, q9, d4[1] \n"
"vmla.f32 q13, q9, d8[1] \n"
"vmla.f32 q14, q9, d12[1] \n"
"vmla.f32 q15, q9, d0[1] \n"
"vmla.f32 q12, q10, d5[0] \n"
"vmla.f32 q13, q10, d9[0] \n"
"vmla.f32 q14, q10, d13[0] \n"
"vmla.f32 q15, q10, d1[0] \n"
"vmla.f32 q12, q11, d5[1] \n"
"vmla.f32 q13, q11, d9[1] \n"
"vmla.f32 q14, q11, d13[1] \n"
"vmla.f32 q15, q11, d1[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q12, q8, d6[0] \n"
"vmla.f32 q13, q8, d10[0] \n"
"vmla.f32 q14, q8, d14[0] \n"
"vmla.f32 q15, q8, d2[0] \n"
"vmla.f32 q12, q9, d6[1] \n"
"vmla.f32 q13, q9, d10[1] \n"
"vmla.f32 q14, q9, d14[1] \n"
"vmla.f32 q15, q9, d2[1] \n"
"vmla.f32 q12, q10, d7[0] \n"
"vmla.f32 q13, q10, d11[0] \n"
"vmla.f32 q14, q10, d15[0] \n"
"vmla.f32 q15, q10, d3[0] \n"
"vmla.f32 q12, q11, d7[1] \n"
"vmla.f32 q13, q11, d11[1] \n"
"vmla.f32 q14, q11, d15[1] \n"
"vmla.f32 q15, q11, d3[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%3, #128] \n"
"vld1.f32 {d4-d5}, [%3 :128] \n" // r210
"vmla.f32 q12, q8, d8[0] \n"
"vmla.f32 q13, q8, d12[0] \n"
"vmla.f32 q14, q8, d0[0] \n"
"vmla.f32 q15, q8, d4[0] \n"
"vmla.f32 q12, q9, d8[1] \n"
"vmla.f32 q13, q9, d12[1] \n"
"vmla.f32 q14, q9, d0[1] \n"
"vmla.f32 q15, q9, d4[1] \n"
"vmla.f32 q12, q10, d9[0] \n"
"vmla.f32 q13, q10, d13[0] \n"
"vmla.f32 q14, q10, d1[0] \n"
"vmla.f32 q15, q10, d5[0] \n"
"vmla.f32 q12, q11, d9[1] \n"
"vmla.f32 q13, q11, d13[1] \n"
"pld [%4, #512] \n"
"vldm %4!, {d8-d15} \n" // r30 r31 r32 r33
"vmla.f32 q14, q11, d1[1] \n"
"vmla.f32 q15, q11, d5[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%4, #512] \n"
"vldm %4!, {d0-d7} \n" // r34 r35 r36 r37
"vmla.f32 q12, q8, d8[0] \n"
"vmla.f32 q13, q8, d12[0] \n"
"vmla.f32 q14, q8, d0[0] \n"
"vmla.f32 q15, q8, d4[0] \n"
"vmla.f32 q12, q9, d8[1] \n"
"vmla.f32 q13, q9, d12[1] \n"
"vmla.f32 q14, q9, d0[1] \n"
"vmla.f32 q15, q9, d4[1] \n"
"vmla.f32 q12, q10, d9[0] \n"
"vmla.f32 q13, q10, d13[0] \n"
"vmla.f32 q14, q10, d1[0] \n"
"vmla.f32 q15, q10, d5[0] \n"
"vmla.f32 q12, q11, d9[1] \n"
"vmla.f32 q13, q11, d13[1] \n"
"vmla.f32 q14, q11, d1[1] \n"
"vmla.f32 q15, q11, d5[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q12, q8, d10[0] \n"
"vmla.f32 q13, q8, d14[0] \n"
"vmla.f32 q14, q8, d2[0] \n"
"vmla.f32 q15, q8, d6[0] \n"
"vmla.f32 q12, q9, d10[1] \n"
"vmla.f32 q13, q9, d14[1] \n"
"vmla.f32 q14, q9, d2[1] \n"
"vmla.f32 q15, q9, d6[1] \n"
"vmla.f32 q12, q10, d11[0] \n"
"vmla.f32 q13, q10, d15[0] \n"
"vmla.f32 q14, q10, d3[0] \n"
"vmla.f32 q15, q10, d7[0] \n"
"vmla.f32 q12, q11, d11[1] \n"
"vmla.f32 q13, q11, d15[1] \n"
"vmla.f32 q14, q11, d3[1] \n"
"vmla.f32 q15, q11, d7[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%4, #256] \n"
"vld1.f32 {d8-d11}, [%4 :128]! \n" // r38 r39
"vmla.f32 q12, q8, d12[0] \n"
"vmla.f32 q13, q8, d0[0] \n"
"vmla.f32 q14, q8, d4[0] \n"
"vmla.f32 q15, q8, d8[0] \n"
"vmla.f32 q12, q9, d12[1] \n"
"vmla.f32 q13, q9, d0[1] \n"
"vmla.f32 q14, q9, d4[1] \n"
"vmla.f32 q15, q9, d8[1] \n"
"vmla.f32 q12, q10, d13[0] \n"
"vmla.f32 q13, q10, d1[0] \n"
"vmla.f32 q14, q10, d5[0] \n"
"vmla.f32 q15, q10, d9[0] \n"
"vmla.f32 q12, q11, d13[1] \n"
"vmla.f32 q13, q11, d1[1] \n"
"vmla.f32 q14, q11, d5[1] \n"
"vmla.f32 q15, q11, d9[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q12, q8, d14[0] \n"
"vmla.f32 q13, q8, d2[0] \n"
"vmla.f32 q14, q8, d6[0] \n"
"vmla.f32 q15, q8, d10[0] \n"
"vmla.f32 q12, q9, d14[1] \n"
"vmla.f32 q13, q9, d2[1] \n"
"vmla.f32 q14, q9, d6[1] \n"
"vmla.f32 q15, q9, d10[1] \n"
"vmla.f32 q12, q10, d15[0] \n"
"vmla.f32 q13, q10, d3[0] \n"
"vmla.f32 q14, q10, d7[0] \n"
"vmla.f32 q15, q10, d11[0] \n"
"vmla.f32 q12, q11, d15[1] \n"
"vmla.f32 q13, q11, d3[1] \n"
"vmla.f32 q14, q11, d7[1] \n"
"vmla.f32 q15, q11, d11[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%4, #128] \n"
"vld1.f32 {d12-d13}, [%4 :128] \n" // r310
"vmla.f32 q12, q8, d0[0] \n"
"vmla.f32 q13, q8, d4[0] \n"
"vmla.f32 q14, q8, d8[0] \n"
"vmla.f32 q15, q8, d12[0] \n"
"vmla.f32 q12, q9, d0[1] \n"
"vmla.f32 q13, q9, d4[1] \n"
"vmla.f32 q14, q9, d8[1] \n"
"vmla.f32 q15, q9, d12[1] \n"
"vmla.f32 q12, q10, d1[0] \n"
"vmla.f32 q13, q10, d5[0] \n"
"vmla.f32 q14, q10, d9[0] \n"
"vmla.f32 q15, q10, d13[0] \n"
"vmla.f32 q12, q11, d1[1] \n"
"vmla.f32 q13, q11, d5[1] \n"
"pld [%5, #512] \n"
"vldm %5!, {d0-d7} \n" // r40 r41 r42 r43
"vmla.f32 q14, q11, d9[1] \n"
"vmla.f32 q15, q11, d13[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%5, #512] \n"
"vldm %5!, {d8-d15} \n" // r44 r45 r46 r47
"vmla.f32 q12, q8, d0[0] \n"
"vmla.f32 q13, q8, d4[0] \n"
"vmla.f32 q14, q8, d8[0] \n"
"vmla.f32 q15, q8, d12[0] \n"
"vmla.f32 q12, q9, d0[1] \n"
"vmla.f32 q13, q9, d4[1] \n"
"vmla.f32 q14, q9, d8[1] \n"
"vmla.f32 q15, q9, d12[1] \n"
"vmla.f32 q12, q10, d1[0] \n"
"vmla.f32 q13, q10, d5[0] \n"
"vmla.f32 q14, q10, d9[0] \n"
"vmla.f32 q15, q10, d13[0] \n"
"vmla.f32 q12, q11, d1[1] \n"
"vmla.f32 q13, q11, d5[1] \n"
"vmla.f32 q14, q11, d9[1] \n"
"vmla.f32 q15, q11, d13[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q12, q8, d2[0] \n"
"vmla.f32 q13, q8, d6[0] \n"
"vmla.f32 q14, q8, d10[0] \n"
"vmla.f32 q15, q8, d14[0] \n"
"vmla.f32 q12, q9, d2[1] \n"
"vmla.f32 q13, q9, d6[1] \n"
"vmla.f32 q14, q9, d10[1] \n"
"vmla.f32 q15, q9, d14[1] \n"
"vmla.f32 q12, q10, d3[0] \n"
"vmla.f32 q13, q10, d7[0] \n"
"vmla.f32 q14, q10, d11[0] \n"
"vmla.f32 q15, q10, d15[0] \n"
"vmla.f32 q12, q11, d3[1] \n"
"vmla.f32 q13, q11, d7[1] \n"
"vmla.f32 q14, q11, d11[1] \n"
"vmla.f32 q15, q11, d15[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%5, #256] \n"
"vld1.f32 {d0-d3}, [%5 :128]! \n" // r48 r49
"vmla.f32 q12, q8, d4[0] \n"
"vmla.f32 q13, q8, d8[0] \n"
"vmla.f32 q14, q8, d12[0] \n"
"vmla.f32 q15, q8, d0[0] \n"
"vmla.f32 q12, q9, d4[1] \n"
"vmla.f32 q13, q9, d8[1] \n"
"vmla.f32 q14, q9, d12[1] \n"
"vmla.f32 q15, q9, d0[1] \n"
"vmla.f32 q12, q10, d5[0] \n"
"vmla.f32 q13, q10, d9[0] \n"
"vmla.f32 q14, q10, d13[0] \n"
"vmla.f32 q15, q10, d1[0] \n"
"vmla.f32 q12, q11, d5[1] \n"
"vmla.f32 q13, q11, d9[1] \n"
"vmla.f32 q14, q11, d13[1] \n"
"vmla.f32 q15, q11, d1[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q12, q8, d6[0] \n"
"vmla.f32 q13, q8, d10[0] \n"
"vmla.f32 q14, q8, d14[0] \n"
"vmla.f32 q15, q8, d2[0] \n"
"vmla.f32 q12, q9, d6[1] \n"
"vmla.f32 q13, q9, d10[1] \n"
"vmla.f32 q14, q9, d14[1] \n"
"vmla.f32 q15, q9, d2[1] \n"
"vmla.f32 q12, q10, d7[0] \n"
"vmla.f32 q13, q10, d11[0] \n"
"vmla.f32 q14, q10, d15[0] \n"
"vmla.f32 q15, q10, d3[0] \n"
"vmla.f32 q12, q11, d7[1] \n"
"vmla.f32 q13, q11, d11[1] \n"
"vmla.f32 q14, q11, d15[1] \n"
"vmla.f32 q15, q11, d3[1] \n"
// "pld [%6, #512] \n"
"vldm %6, {d16-d23} \n"
"pld [%5, #128] \n"
"vld1.f32 {d4-d5}, [%5 :128] \n" // r410
"vmla.f32 q12, q8, d8[0] \n"
"vmla.f32 q13, q8, d12[0] \n"
"vmla.f32 q14, q8, d0[0] \n"
"vmla.f32 q15, q8, d4[0] \n"
"vmla.f32 q12, q9, d8[1] \n"
"vmla.f32 q13, q9, d12[1] \n"
"vmla.f32 q14, q9, d0[1] \n"
"vmla.f32 q15, q9, d4[1] \n"
"vmla.f32 q12, q10, d9[0] \n"
"vmla.f32 q13, q10, d13[0] \n"
"vmla.f32 q14, q10, d1[0] \n"
"vmla.f32 q15, q10, d5[0] \n"
"vmla.f32 q12, q11, d9[1] \n"
"vmla.f32 q13, q11, d13[1] \n"
"vmla.f32 q14, q11, d1[1] \n"
"vmla.f32 q15, q11, d5[1] \n"
"sub %6, %6, #1536 \n" // kptr -= 24 * 16;
"sub %1, %1, #32 \n"
"sub %2, %2, #32 \n"
"sub %3, %3, #32 \n"
"sub %4, %4, #32 \n"
"sub %5, %5, #32 \n"
"vstm %0!, {d24-d31} \n"
: "=r"(outptr0), // %0
"=r"(r0), // %1
"=r"(r1), // %2
"=r"(r2), // %3
"=r"(r3), // %4
"=r"(r4), // %5
"=r"(kptr) // %6
: "0"(outptr0),
"1"(r0),
"2"(r1),
"3"(r2),
"4"(r3),
"5"(r4),
"6"(kptr)
: "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15");
#endif // __aarch64__
}
for (; j + 1 < outw; j += 2)
{
#if __aarch64__
asm volatile(
"prfm pldl1keep, [%0, #256] \n"
"ld1 {v20.4s, v21.4s}, [%0] \n" // sum0 sum1
"prfm pldl1keep, [%1, #512] \n"
"ld1 {v0.4s, v1.4s, v2.4s, v3.4s}, [%1], #64 \n" // r00 r01 r02 r03
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmul v22.4s, v16.4s, v0.s[0] \n"
"fmul v23.4s, v16.4s, v2.s[0] \n"
"fmla v20.4s, v17.4s, v0.s[1] \n"
"fmla v21.4s, v17.4s, v2.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v22.4s, v18.4s, v0.s[2] \n"
"fmla v23.4s, v18.4s, v2.s[2] \n"
"fmla v20.4s, v19.4s, v0.s[3] \n"
"fmla v21.4s, v19.4s, v2.s[3] \n"
"prfm pldl1keep, [%1, #384] \n"
"ld1 {v4.4s, v5.4s, v6.4s}, [%1] \n" // r04 r05 r06
"fmla v22.4s, v24.4s, v1.s[0] \n"
"fmla v23.4s, v24.4s, v3.s[0] \n"
"fmla v20.4s, v25.4s, v1.s[1] \n"
"fmla v21.4s, v25.4s, v3.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v22.4s, v26.4s, v1.s[2] \n"
"fmla v23.4s, v26.4s, v3.s[2] \n"
"fmla v20.4s, v27.4s, v1.s[3] \n"
"fmla v21.4s, v27.4s, v3.s[3] \n"
"fmla v22.4s, v16.4s, v2.s[0] \n"
"fmla v23.4s, v16.4s, v4.s[0] \n"
"fmla v20.4s, v17.4s, v2.s[1] \n"
"fmla v21.4s, v17.4s, v4.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v22.4s, v18.4s, v2.s[2] \n"
"fmla v23.4s, v18.4s, v4.s[2] \n"
"fmla v20.4s, v19.4s, v2.s[3] \n"
"fmla v21.4s, v19.4s, v4.s[3] \n"
"fmla v22.4s, v24.4s, v3.s[0] \n"
"fmla v23.4s, v24.4s, v5.s[0] \n"
"fmla v20.4s, v25.4s, v3.s[1] \n"
"fmla v21.4s, v25.4s, v5.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v22.4s, v26.4s, v3.s[2] \n"
"fmla v23.4s, v26.4s, v5.s[2] \n"
"fmla v20.4s, v27.4s, v3.s[3] \n"
"fmla v21.4s, v27.4s, v5.s[3] \n"
"prfm pldl1keep, [%2, #512] \n"
"ld1 {v0.4s, v1.4s, v2.4s, v3.4s}, [%2], #64 \n" // r10 r11 r12 r13
"fmla v22.4s, v16.4s, v4.s[0] \n"
"fmla v23.4s, v16.4s, v6.s[0] \n"
"fmla v20.4s, v17.4s, v4.s[1] \n"
"fmla v21.4s, v17.4s, v6.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v22.4s, v18.4s, v4.s[2] \n"
"fmla v23.4s, v18.4s, v6.s[2] \n"
"fmla v20.4s, v19.4s, v4.s[3] \n"
"fmla v21.4s, v19.4s, v6.s[3] \n"
"fmla v22.4s, v24.4s, v0.s[0] \n"
"fmla v23.4s, v24.4s, v2.s[0] \n"
"fmla v20.4s, v25.4s, v0.s[1] \n"
"fmla v21.4s, v25.4s, v2.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v22.4s, v26.4s, v0.s[2] \n"
"fmla v23.4s, v26.4s, v2.s[2] \n"
"fmla v20.4s, v27.4s, v0.s[3] \n"
"fmla v21.4s, v27.4s, v2.s[3] \n"
"prfm pldl1keep, [%2, #384] \n"
"ld1 {v4.4s, v5.4s, v6.4s}, [%2] \n" // r14 r15 r16
"fmla v22.4s, v16.4s, v1.s[0] \n"
"fmla v23.4s, v16.4s, v3.s[0] \n"
"fmla v20.4s, v17.4s, v1.s[1] \n"
"fmla v21.4s, v17.4s, v3.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v22.4s, v18.4s, v1.s[2] \n"
"fmla v23.4s, v18.4s, v3.s[2] \n"
"fmla v20.4s, v19.4s, v1.s[3] \n"
"fmla v21.4s, v19.4s, v3.s[3] \n"
"fmla v22.4s, v24.4s, v2.s[0] \n"
"fmla v23.4s, v24.4s, v4.s[0] \n"
"fmla v20.4s, v25.4s, v2.s[1] \n"
"fmla v21.4s, v25.4s, v4.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v22.4s, v26.4s, v2.s[2] \n"
"fmla v23.4s, v26.4s, v4.s[2] \n"
"fmla v20.4s, v27.4s, v2.s[3] \n"
"fmla v21.4s, v27.4s, v4.s[3] \n"
"fmla v22.4s, v16.4s, v3.s[0] \n"
"fmla v23.4s, v16.4s, v5.s[0] \n"
"fmla v20.4s, v17.4s, v3.s[1] \n"
"fmla v21.4s, v17.4s, v5.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v22.4s, v18.4s, v3.s[2] \n"
"fmla v23.4s, v18.4s, v5.s[2] \n"
"fmla v20.4s, v19.4s, v3.s[3] \n"
"fmla v21.4s, v19.4s, v5.s[3] \n"
"prfm pldl1keep, [%3, #512] \n"
"ld1 {v0.4s, v1.4s, v2.4s, v3.4s}, [%3], #64 \n" // r20 r21 r22 r23
"fmla v22.4s, v24.4s, v4.s[0] \n"
"fmla v23.4s, v24.4s, v6.s[0] \n"
"fmla v20.4s, v25.4s, v4.s[1] \n"
"fmla v21.4s, v25.4s, v6.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v22.4s, v26.4s, v4.s[2] \n"
"fmla v23.4s, v26.4s, v6.s[2] \n"
"fmla v20.4s, v27.4s, v4.s[3] \n"
"fmla v21.4s, v27.4s, v6.s[3] \n"
"fmla v22.4s, v16.4s, v0.s[0] \n"
"fmla v23.4s, v16.4s, v2.s[0] \n"
"fmla v20.4s, v17.4s, v0.s[1] \n"
"fmla v21.4s, v17.4s, v2.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v22.4s, v18.4s, v0.s[2] \n"
"fmla v23.4s, v18.4s, v2.s[2] \n"
"fmla v20.4s, v19.4s, v0.s[3] \n"
"fmla v21.4s, v19.4s, v2.s[3] \n"
"prfm pldl1keep, [%3, #384] \n"
"ld1 {v4.4s, v5.4s, v6.4s}, [%3] \n" // r24 r25 r26
"fmla v22.4s, v24.4s, v1.s[0] \n"
"fmla v23.4s, v24.4s, v3.s[0] \n"
"fmla v20.4s, v25.4s, v1.s[1] \n"
"fmla v21.4s, v25.4s, v3.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v22.4s, v26.4s, v1.s[2] \n"
"fmla v23.4s, v26.4s, v3.s[2] \n"
"fmla v20.4s, v27.4s, v1.s[3] \n"
"fmla v21.4s, v27.4s, v3.s[3] \n"
"fmla v22.4s, v16.4s, v2.s[0] \n"
"fmla v23.4s, v16.4s, v4.s[0] \n"
"fmla v20.4s, v17.4s, v2.s[1] \n"
"fmla v21.4s, v17.4s, v4.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v22.4s, v18.4s, v2.s[2] \n"
"fmla v23.4s, v18.4s, v4.s[2] \n"
"fmla v20.4s, v19.4s, v2.s[3] \n"
"fmla v21.4s, v19.4s, v4.s[3] \n"
"fmla v22.4s, v24.4s, v3.s[0] \n"
"fmla v23.4s, v24.4s, v5.s[0] \n"
"fmla v20.4s, v25.4s, v3.s[1] \n"
"fmla v21.4s, v25.4s, v5.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v22.4s, v26.4s, v3.s[2] \n"
"fmla v23.4s, v26.4s, v5.s[2] \n"
"fmla v20.4s, v27.4s, v3.s[3] \n"
"fmla v21.4s, v27.4s, v5.s[3] \n"
"prfm pldl1keep, [%4, #512] \n"
"ld1 {v0.4s, v1.4s, v2.4s, v3.4s}, [%4], #64 \n" // r30 r31 r32 r33
"fmla v22.4s, v16.4s, v4.s[0] \n"
"fmla v23.4s, v16.4s, v6.s[0] \n"
"fmla v20.4s, v17.4s, v4.s[1] \n"
"fmla v21.4s, v17.4s, v6.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v22.4s, v18.4s, v4.s[2] \n"
"fmla v23.4s, v18.4s, v6.s[2] \n"
"fmla v20.4s, v19.4s, v4.s[3] \n"
"fmla v21.4s, v19.4s, v6.s[3] \n"
"fmla v22.4s, v24.4s, v0.s[0] \n"
"fmla v23.4s, v24.4s, v2.s[0] \n"
"fmla v20.4s, v25.4s, v0.s[1] \n"
"fmla v21.4s, v25.4s, v2.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v22.4s, v26.4s, v0.s[2] \n"
"fmla v23.4s, v26.4s, v2.s[2] \n"
"fmla v20.4s, v27.4s, v0.s[3] \n"
"fmla v21.4s, v27.4s, v2.s[3] \n"
"prfm pldl1keep, [%4, #384] \n"
"ld1 {v4.4s, v5.4s, v6.4s}, [%4] \n" // r34 r35 r36
"fmla v22.4s, v16.4s, v1.s[0] \n"
"fmla v23.4s, v16.4s, v3.s[0] \n"
"fmla v20.4s, v17.4s, v1.s[1] \n"
"fmla v21.4s, v17.4s, v3.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v22.4s, v18.4s, v1.s[2] \n"
"fmla v23.4s, v18.4s, v3.s[2] \n"
"fmla v20.4s, v19.4s, v1.s[3] \n"
"fmla v21.4s, v19.4s, v3.s[3] \n"
"fmla v22.4s, v24.4s, v2.s[0] \n"
"fmla v23.4s, v24.4s, v4.s[0] \n"
"fmla v20.4s, v25.4s, v2.s[1] \n"
"fmla v21.4s, v25.4s, v4.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v22.4s, v26.4s, v2.s[2] \n"
"fmla v23.4s, v26.4s, v4.s[2] \n"
"fmla v20.4s, v27.4s, v2.s[3] \n"
"fmla v21.4s, v27.4s, v4.s[3] \n"
"fmla v22.4s, v16.4s, v3.s[0] \n"
"fmla v23.4s, v16.4s, v5.s[0] \n"
"fmla v20.4s, v17.4s, v3.s[1] \n"
"fmla v21.4s, v17.4s, v5.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v22.4s, v18.4s, v3.s[2] \n"
"fmla v23.4s, v18.4s, v5.s[2] \n"
"fmla v20.4s, v19.4s, v3.s[3] \n"
"fmla v21.4s, v19.4s, v5.s[3] \n"
"prfm pldl1keep, [%5, #512] \n"
"ld1 {v0.4s, v1.4s, v2.4s, v3.4s}, [%5], #64 \n" // r40 r41 r42 r43
"fmla v22.4s, v24.4s, v4.s[0] \n"
"fmla v23.4s, v24.4s, v6.s[0] \n"
"fmla v20.4s, v25.4s, v4.s[1] \n"
"fmla v21.4s, v25.4s, v6.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v22.4s, v26.4s, v4.s[2] \n"
"fmla v23.4s, v26.4s, v6.s[2] \n"
"fmla v20.4s, v27.4s, v4.s[3] \n"
"fmla v21.4s, v27.4s, v6.s[3] \n"
"fmla v22.4s, v16.4s, v0.s[0] \n"
"fmla v23.4s, v16.4s, v2.s[0] \n"
"fmla v20.4s, v17.4s, v0.s[1] \n"
"fmla v21.4s, v17.4s, v2.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v22.4s, v18.4s, v0.s[2] \n"
"fmla v23.4s, v18.4s, v2.s[2] \n"
"fmla v20.4s, v19.4s, v0.s[3] \n"
"fmla v21.4s, v19.4s, v2.s[3] \n"
"prfm pldl1keep, [%5, #384] \n"
"ld1 {v4.4s, v5.4s, v6.4s}, [%5] \n" // r44 r45 r46
"fmla v22.4s, v24.4s, v1.s[0] \n"
"fmla v23.4s, v24.4s, v3.s[0] \n"
"fmla v20.4s, v25.4s, v1.s[1] \n"
"fmla v21.4s, v25.4s, v3.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v22.4s, v26.4s, v1.s[2] \n"
"fmla v23.4s, v26.4s, v3.s[2] \n"
"fmla v20.4s, v27.4s, v1.s[3] \n"
"fmla v21.4s, v27.4s, v3.s[3] \n"
"fmla v22.4s, v16.4s, v2.s[0] \n"
"fmla v23.4s, v16.4s, v4.s[0] \n"
"fmla v20.4s, v17.4s, v2.s[1] \n"
"fmla v21.4s, v17.4s, v4.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v22.4s, v18.4s, v2.s[2] \n"
"fmla v23.4s, v18.4s, v4.s[2] \n"
"fmla v20.4s, v19.4s, v2.s[3] \n"
"fmla v21.4s, v19.4s, v4.s[3] \n"
"fmla v22.4s, v24.4s, v3.s[0] \n"
"fmla v23.4s, v24.4s, v5.s[0] \n"
"fmla v20.4s, v25.4s, v3.s[1] \n"
"fmla v21.4s, v25.4s, v5.s[1] \n"
// "prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6] \n"
"fmla v22.4s, v26.4s, v3.s[2] \n"
"fmla v23.4s, v26.4s, v5.s[2] \n"
"fmla v20.4s, v27.4s, v3.s[3] \n"
"fmla v21.4s, v27.4s, v5.s[3] \n"
"fmla v22.4s, v16.4s, v4.s[0] \n"
"fmla v23.4s, v16.4s, v6.s[0] \n"
"fmla v20.4s, v17.4s, v4.s[1] \n"
"fmla v21.4s, v17.4s, v6.s[1] \n"
"fmla v22.4s, v18.4s, v4.s[2] \n"
"fmla v23.4s, v18.4s, v6.s[2] \n"
"fmla v20.4s, v19.4s, v4.s[3] \n"
"fmla v21.4s, v19.4s, v6.s[3] \n"
"fadd v20.4s, v20.4s, v22.4s \n"
"fadd v21.4s, v21.4s, v23.4s \n"
"sub %6, %6, #1536 \n" // kptr -= 24 * 16;
"st1 {v20.4s, v21.4s}, [%0], #32 \n"
: "=r"(outptr0), // %0
"=r"(r0), // %1
"=r"(r1), // %2
"=r"(r2), // %3
"=r"(r3), // %4
"=r"(r4), // %5
"=r"(kptr) // %6
: "0"(outptr0),
"1"(r0),
"2"(r1),
"3"(r2),
"4"(r3),
"5"(r4),
"6"(kptr)
: "memory", "v0", "v1", "v2", "v3", "v4", "v5", "v6", "v16", "v17", "v18", "v19", "v20", "v21", "v22", "v23", "v24", "v25", "v26", "v27");
#else // __aarch64__
asm volatile(
"pld [%0, #256] \n"
"vld1.f32 {d24-d27}, [%0 :128] \n" // sum0 sum1
"pld [%1, #512] \n"
"vldm %1!, {d0-d7} \n" // r00 r01 r02 r03
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmul.f32 q14, q8, d0[0] \n"
"vmul.f32 q15, q8, d4[0] \n"
"vmla.f32 q12, q9, d0[1] \n"
"vmla.f32 q13, q9, d4[1] \n"
"vmla.f32 q14, q10, d1[0] \n"
"vmla.f32 q15, q10, d5[0] \n"
"vmla.f32 q12, q11, d1[1] \n"
"vmla.f32 q13, q11, d5[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%1, #384] \n"
"vldm %1, {d8-d13} \n" // r04 r05 r06
"vmla.f32 q14, q8, d2[0] \n"
"vmla.f32 q15, q8, d6[0] \n"
"vmla.f32 q12, q9, d2[1] \n"
"vmla.f32 q13, q9, d6[1] \n"
"vmla.f32 q14, q10, d3[0] \n"
"vmla.f32 q15, q10, d7[0] \n"
"vmla.f32 q12, q11, d3[1] \n"
"vmla.f32 q13, q11, d7[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q14, q8, d4[0] \n"
"vmla.f32 q15, q8, d8[0] \n"
"vmla.f32 q12, q9, d4[1] \n"
"vmla.f32 q13, q9, d8[1] \n"
"vmla.f32 q14, q10, d5[0] \n"
"vmla.f32 q15, q10, d9[0] \n"
"vmla.f32 q12, q11, d5[1] \n"
"vmla.f32 q13, q11, d9[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q14, q8, d6[0] \n"
"vmla.f32 q15, q8, d10[0] \n"
"vmla.f32 q12, q9, d6[1] \n"
"vmla.f32 q13, q9, d10[1] \n"
"vmla.f32 q14, q10, d7[0] \n"
"vmla.f32 q15, q10, d11[0] \n"
"vmla.f32 q12, q11, d7[1] \n"
"vmla.f32 q13, q11, d11[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%2, #512] \n"
"vldm %2!, {d0-d7} \n" // r10 r11 r12 r13
"vmla.f32 q14, q8, d8[0] \n"
"vmla.f32 q15, q8, d12[0] \n"
"vmla.f32 q12, q9, d8[1] \n"
"vmla.f32 q13, q9, d12[1] \n"
"vmla.f32 q14, q10, d9[0] \n"
"vmla.f32 q15, q10, d13[0] \n"
"vmla.f32 q12, q11, d9[1] \n"
"vmla.f32 q13, q11, d13[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q14, q8, d0[0] \n"
"vmla.f32 q15, q8, d4[0] \n"
"vmla.f32 q12, q9, d0[1] \n"
"vmla.f32 q13, q9, d4[1] \n"
"vmla.f32 q14, q10, d1[0] \n"
"vmla.f32 q15, q10, d5[0] \n"
"vmla.f32 q12, q11, d1[1] \n"
"vmla.f32 q13, q11, d5[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%2, #384] \n"
"vldm %2, {d8-d13} \n" // r14 r15 r16
"vmla.f32 q14, q8, d2[0] \n"
"vmla.f32 q15, q8, d6[0] \n"
"vmla.f32 q12, q9, d2[1] \n"
"vmla.f32 q13, q9, d6[1] \n"
"vmla.f32 q14, q10, d3[0] \n"
"vmla.f32 q15, q10, d7[0] \n"
"vmla.f32 q12, q11, d3[1] \n"
"vmla.f32 q13, q11, d7[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q14, q8, d4[0] \n"
"vmla.f32 q15, q8, d8[0] \n"
"vmla.f32 q12, q9, d4[1] \n"
"vmla.f32 q13, q9, d8[1] \n"
"vmla.f32 q14, q10, d5[0] \n"
"vmla.f32 q15, q10, d9[0] \n"
"vmla.f32 q12, q11, d5[1] \n"
"vmla.f32 q13, q11, d9[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q14, q8, d6[0] \n"
"vmla.f32 q15, q8, d10[0] \n"
"vmla.f32 q12, q9, d6[1] \n"
"vmla.f32 q13, q9, d10[1] \n"
"vmla.f32 q14, q10, d7[0] \n"
"vmla.f32 q15, q10, d11[0] \n"
"vmla.f32 q12, q11, d7[1] \n"
"vmla.f32 q13, q11, d11[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%3, #512] \n"
"vldm %3!, {d0-d7} \n" // r20 r21 r22 r23
"vmla.f32 q14, q8, d8[0] \n"
"vmla.f32 q15, q8, d12[0] \n"
"vmla.f32 q12, q9, d8[1] \n"
"vmla.f32 q13, q9, d12[1] \n"
"vmla.f32 q14, q10, d9[0] \n"
"vmla.f32 q15, q10, d13[0] \n"
"vmla.f32 q12, q11, d9[1] \n"
"vmla.f32 q13, q11, d13[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q14, q8, d0[0] \n"
"vmla.f32 q15, q8, d4[0] \n"
"vmla.f32 q12, q9, d0[1] \n"
"vmla.f32 q13, q9, d4[1] \n"
"vmla.f32 q14, q10, d1[0] \n"
"vmla.f32 q15, q10, d5[0] \n"
"vmla.f32 q12, q11, d1[1] \n"
"vmla.f32 q13, q11, d5[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%3, #384] \n"
"vldm %3, {d8-d13} \n" // r24 r25 r26
"vmla.f32 q14, q8, d2[0] \n"
"vmla.f32 q15, q8, d6[0] \n"
"vmla.f32 q12, q9, d2[1] \n"
"vmla.f32 q13, q9, d6[1] \n"
"vmla.f32 q14, q10, d3[0] \n"
"vmla.f32 q15, q10, d7[0] \n"
"vmla.f32 q12, q11, d3[1] \n"
"vmla.f32 q13, q11, d7[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q14, q8, d4[0] \n"
"vmla.f32 q15, q8, d8[0] \n"
"vmla.f32 q12, q9, d4[1] \n"
"vmla.f32 q13, q9, d8[1] \n"
"vmla.f32 q14, q10, d5[0] \n"
"vmla.f32 q15, q10, d9[0] \n"
"vmla.f32 q12, q11, d5[1] \n"
"vmla.f32 q13, q11, d9[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q14, q8, d6[0] \n"
"vmla.f32 q15, q8, d10[0] \n"
"vmla.f32 q12, q9, d6[1] \n"
"vmla.f32 q13, q9, d10[1] \n"
"vmla.f32 q14, q10, d7[0] \n"
"vmla.f32 q15, q10, d11[0] \n"
"vmla.f32 q12, q11, d7[1] \n"
"vmla.f32 q13, q11, d11[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%4, #512] \n"
"vldm %4!, {d0-d7} \n" // r30 r31 r32 r33
"vmla.f32 q14, q8, d8[0] \n"
"vmla.f32 q15, q8, d12[0] \n"
"vmla.f32 q12, q9, d8[1] \n"
"vmla.f32 q13, q9, d12[1] \n"
"vmla.f32 q14, q10, d9[0] \n"
"vmla.f32 q15, q10, d13[0] \n"
"vmla.f32 q12, q11, d9[1] \n"
"vmla.f32 q13, q11, d13[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q14, q8, d0[0] \n"
"vmla.f32 q15, q8, d4[0] \n"
"vmla.f32 q12, q9, d0[1] \n"
"vmla.f32 q13, q9, d4[1] \n"
"vmla.f32 q14, q10, d1[0] \n"
"vmla.f32 q15, q10, d5[0] \n"
"vmla.f32 q12, q11, d1[1] \n"
"vmla.f32 q13, q11, d5[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%4, #384] \n"
"vldm %4, {d8-d13} \n" // r34 r35 r36
"vmla.f32 q14, q8, d2[0] \n"
"vmla.f32 q15, q8, d6[0] \n"
"vmla.f32 q12, q9, d2[1] \n"
"vmla.f32 q13, q9, d6[1] \n"
"vmla.f32 q14, q10, d3[0] \n"
"vmla.f32 q15, q10, d7[0] \n"
"vmla.f32 q12, q11, d3[1] \n"
"vmla.f32 q13, q11, d7[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q14, q8, d4[0] \n"
"vmla.f32 q15, q8, d8[0] \n"
"vmla.f32 q12, q9, d4[1] \n"
"vmla.f32 q13, q9, d8[1] \n"
"vmla.f32 q14, q10, d5[0] \n"
"vmla.f32 q15, q10, d9[0] \n"
"vmla.f32 q12, q11, d5[1] \n"
"vmla.f32 q13, q11, d9[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q14, q8, d6[0] \n"
"vmla.f32 q15, q8, d10[0] \n"
"vmla.f32 q12, q9, d6[1] \n"
"vmla.f32 q13, q9, d10[1] \n"
"vmla.f32 q14, q10, d7[0] \n"
"vmla.f32 q15, q10, d11[0] \n"
"vmla.f32 q12, q11, d7[1] \n"
"vmla.f32 q13, q11, d11[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%5, #512] \n"
"vldm %5!, {d0-d7} \n" // r40 r41 r42 r43
"vmla.f32 q14, q8, d8[0] \n"
"vmla.f32 q15, q8, d12[0] \n"
"vmla.f32 q12, q9, d8[1] \n"
"vmla.f32 q13, q9, d12[1] \n"
"vmla.f32 q14, q10, d9[0] \n"
"vmla.f32 q15, q10, d13[0] \n"
"vmla.f32 q12, q11, d9[1] \n"
"vmla.f32 q13, q11, d13[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q14, q8, d0[0] \n"
"vmla.f32 q15, q8, d4[0] \n"
"vmla.f32 q12, q9, d0[1] \n"
"vmla.f32 q13, q9, d4[1] \n"
"vmla.f32 q14, q10, d1[0] \n"
"vmla.f32 q15, q10, d5[0] \n"
"vmla.f32 q12, q11, d1[1] \n"
"vmla.f32 q13, q11, d5[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%5, #384] \n"
"vldm %5, {d8-d13} \n" // r44 r45 r46
"vmla.f32 q14, q8, d2[0] \n"
"vmla.f32 q15, q8, d6[0] \n"
"vmla.f32 q12, q9, d2[1] \n"
"vmla.f32 q13, q9, d6[1] \n"
"vmla.f32 q14, q10, d3[0] \n"
"vmla.f32 q15, q10, d7[0] \n"
"vmla.f32 q12, q11, d3[1] \n"
"vmla.f32 q13, q11, d7[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q14, q8, d4[0] \n"
"vmla.f32 q15, q8, d8[0] \n"
"vmla.f32 q12, q9, d4[1] \n"
"vmla.f32 q13, q9, d8[1] \n"
"vmla.f32 q14, q10, d5[0] \n"
"vmla.f32 q15, q10, d9[0] \n"
"vmla.f32 q12, q11, d5[1] \n"
"vmla.f32 q13, q11, d9[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q14, q8, d6[0] \n"
"vmla.f32 q15, q8, d10[0] \n"
"vmla.f32 q12, q9, d6[1] \n"
"vmla.f32 q13, q9, d10[1] \n"
"vmla.f32 q14, q10, d7[0] \n"
"vmla.f32 q15, q10, d11[0] \n"
"vmla.f32 q12, q11, d7[1] \n"
"vmla.f32 q13, q11, d11[1] \n"
// "pld [%6, #512] \n"
"vldm %6, {d16-d23} \n"
"vmla.f32 q14, q8, d8[0] \n"
"vmla.f32 q15, q8, d12[0] \n"
"vmla.f32 q12, q9, d8[1] \n"
"vmla.f32 q13, q9, d12[1] \n"
"vmla.f32 q14, q10, d9[0] \n"
"vmla.f32 q15, q10, d13[0] \n"
"vmla.f32 q12, q11, d9[1] \n"
"vmla.f32 q13, q11, d13[1] \n"
"vadd.f32 q12, q12, q14 \n"
"vadd.f32 q13, q13, q15 \n"
"sub %6, %6, #1536 \n" // kptr -= 24 * 16;
"vst1.f32 {d24-d27}, [%0 :128]! \n"
: "=r"(outptr0), // %0
"=r"(r0), // %1
"=r"(r1), // %2
"=r"(r2), // %3
"=r"(r3), // %4
"=r"(r4), // %5
"=r"(kptr) // %6
: "0"(outptr0),
"1"(r0),
"2"(r1),
"3"(r2),
"4"(r3),
"5"(r4),
"6"(kptr)
: "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15");
#endif // __aarch64__
}
for (; j < outw; j++)
{
#if __aarch64__
asm volatile(
"prfm pldl1keep, [%0, #128] \n"
"ld1 {v20.4s}, [%0] \n" // sum0
"prfm pldl1keep, [%1, #256] \n"
"ld1 {v0.4s, v1.4s}, [%1], #32 \n" // r00 r01
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmul v21.4s, v16.4s, v0.s[0] \n"
"fmul v22.4s, v17.4s, v0.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmul v23.4s, v18.4s, v0.s[2] \n"
"fmla v20.4s, v19.4s, v0.s[3] \n"
"prfm pldl1keep, [%1, #384] \n"
"ld1 {v2.4s, v3.4s, v4.4s}, [%1] \n" // r02 r03 r04
"fmla v21.4s, v24.4s, v1.s[0] \n"
"fmla v22.4s, v25.4s, v1.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v23.4s, v26.4s, v1.s[2] \n"
"fmla v20.4s, v27.4s, v1.s[3] \n"
"fmla v21.4s, v16.4s, v2.s[0] \n"
"fmla v22.4s, v17.4s, v2.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v23.4s, v18.4s, v2.s[2] \n"
"fmla v20.4s, v19.4s, v2.s[3] \n"
"fmla v21.4s, v24.4s, v3.s[0] \n"
"fmla v22.4s, v25.4s, v3.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v23.4s, v26.4s, v3.s[2] \n"
"fmla v20.4s, v27.4s, v3.s[3] \n"
"prfm pldl1keep, [%2, #256] \n"
"ld1 {v0.4s, v1.4s}, [%2], #32 \n" // r10 r11
"fmla v21.4s, v16.4s, v4.s[0] \n"
"fmla v22.4s, v17.4s, v4.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v23.4s, v18.4s, v4.s[2] \n"
"fmla v20.4s, v19.4s, v4.s[3] \n"
"fmla v21.4s, v24.4s, v0.s[0] \n"
"fmla v22.4s, v25.4s, v0.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v23.4s, v26.4s, v0.s[2] \n"
"fmla v20.4s, v27.4s, v0.s[3] \n"
"prfm pldl1keep, [%2, #384] \n"
"ld1 {v2.4s, v3.4s, v4.4s}, [%2] \n" // r12 r13 r14
"fmla v21.4s, v16.4s, v1.s[0] \n"
"fmla v22.4s, v17.4s, v1.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v23.4s, v18.4s, v1.s[2] \n"
"fmla v20.4s, v19.4s, v1.s[3] \n"
"fmla v21.4s, v24.4s, v2.s[0] \n"
"fmla v22.4s, v25.4s, v2.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v23.4s, v26.4s, v2.s[2] \n"
"fmla v20.4s, v27.4s, v2.s[3] \n"
"fmla v21.4s, v16.4s, v3.s[0] \n"
"fmla v22.4s, v17.4s, v3.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v23.4s, v18.4s, v3.s[2] \n"
"fmla v20.4s, v19.4s, v3.s[3] \n"
"prfm pldl1keep, [%3, #256] \n"
"ld1 {v0.4s, v1.4s}, [%3], #32 \n" // r20 r21
"fmla v21.4s, v24.4s, v4.s[0] \n"
"fmla v22.4s, v25.4s, v4.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v23.4s, v26.4s, v4.s[2] \n"
"fmla v20.4s, v27.4s, v4.s[3] \n"
"fmla v21.4s, v16.4s, v0.s[0] \n"
"fmla v22.4s, v17.4s, v0.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v23.4s, v18.4s, v0.s[2] \n"
"fmla v20.4s, v19.4s, v0.s[3] \n"
"prfm pldl1keep, [%3, #384] \n"
"ld1 {v2.4s, v3.4s, v4.4s}, [%3] \n" // r22 r23 r24
"fmla v21.4s, v24.4s, v1.s[0] \n"
"fmla v22.4s, v25.4s, v1.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v23.4s, v26.4s, v1.s[2] \n"
"fmla v20.4s, v27.4s, v1.s[3] \n"
"fmla v21.4s, v16.4s, v2.s[0] \n"
"fmla v22.4s, v17.4s, v2.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v23.4s, v18.4s, v2.s[2] \n"
"fmla v20.4s, v19.4s, v2.s[3] \n"
"fmla v21.4s, v24.4s, v3.s[0] \n"
"fmla v22.4s, v25.4s, v3.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v23.4s, v26.4s, v3.s[2] \n"
"fmla v20.4s, v27.4s, v3.s[3] \n"
"prfm pldl1keep, [%4, #256] \n"
"ld1 {v0.4s, v1.4s}, [%4], #32 \n" // r30 r31
"fmla v21.4s, v16.4s, v4.s[0] \n"
"fmla v22.4s, v17.4s, v4.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v23.4s, v18.4s, v4.s[2] \n"
"fmla v20.4s, v19.4s, v4.s[3] \n"
"fmla v21.4s, v24.4s, v0.s[0] \n"
"fmla v22.4s, v25.4s, v0.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v23.4s, v26.4s, v0.s[2] \n"
"fmla v20.4s, v27.4s, v0.s[3] \n"
"prfm pldl1keep, [%4, #384] \n"
"ld1 {v2.4s, v3.4s, v4.4s}, [%4] \n" // r32 r33 r34
"fmla v21.4s, v16.4s, v1.s[0] \n"
"fmla v22.4s, v17.4s, v1.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v23.4s, v18.4s, v1.s[2] \n"
"fmla v20.4s, v19.4s, v1.s[3] \n"
"fmla v21.4s, v24.4s, v2.s[0] \n"
"fmla v22.4s, v25.4s, v2.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v23.4s, v26.4s, v2.s[2] \n"
"fmla v20.4s, v27.4s, v2.s[3] \n"
"fmla v21.4s, v16.4s, v3.s[0] \n"
"fmla v22.4s, v17.4s, v3.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v23.4s, v18.4s, v3.s[2] \n"
"fmla v20.4s, v19.4s, v3.s[3] \n"
"prfm pldl1keep, [%5, #256] \n"
"ld1 {v0.4s, v1.4s}, [%5], #32 \n" // r40 r41
"fmla v21.4s, v24.4s, v4.s[0] \n"
"fmla v22.4s, v25.4s, v4.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v23.4s, v26.4s, v4.s[2] \n"
"fmla v20.4s, v27.4s, v4.s[3] \n"
"fmla v21.4s, v16.4s, v0.s[0] \n"
"fmla v22.4s, v17.4s, v0.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v23.4s, v18.4s, v0.s[2] \n"
"fmla v20.4s, v19.4s, v0.s[3] \n"
"prfm pldl1keep, [%5, #384] \n"
"ld1 {v2.4s, v3.4s, v4.4s}, [%5] \n" // r42 r43 r44
"fmla v21.4s, v24.4s, v1.s[0] \n"
"fmla v22.4s, v25.4s, v1.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6], #64 \n"
"fmla v23.4s, v26.4s, v1.s[2] \n"
"fmla v20.4s, v27.4s, v1.s[3] \n"
"fmla v21.4s, v16.4s, v2.s[0] \n"
"fmla v22.4s, v17.4s, v2.s[1] \n"
"prfm pldl1keep, [%6, #512] \n"
"ld1 {v24.4s, v25.4s, v26.4s, v27.4s}, [%6], #64 \n"
"fmla v23.4s, v18.4s, v2.s[2] \n"
"fmla v20.4s, v19.4s, v2.s[3] \n"
"fmla v21.4s, v24.4s, v3.s[0] \n"
"fmla v22.4s, v25.4s, v3.s[1] \n"
// "prfm pldl1keep, [%6, #512] \n"
"ld1 {v16.4s, v17.4s, v18.4s, v19.4s}, [%6] \n"
"fmla v23.4s, v26.4s, v3.s[2] \n"
"fmla v20.4s, v27.4s, v3.s[3] \n"
"fmla v21.4s, v16.4s, v4.s[0] \n"
"fmla v22.4s, v17.4s, v4.s[1] \n"
"fmla v23.4s, v18.4s, v4.s[2] \n"
"fmla v20.4s, v19.4s, v4.s[3] \n"
"fadd v22.4s, v21.4s, v22.4s \n"
"fadd v23.4s, v22.4s, v23.4s \n"
"fadd v20.4s, v20.4s, v23.4s \n"
"sub %6, %6, #1536 \n" // kptr -= 24 * 16;
"st1 {v20.4s}, [%0], #16 \n"
: "=r"(outptr0), // %0
"=r"(r0), // %1
"=r"(r1), // %2
"=r"(r2), // %3
"=r"(r3), // %4
"=r"(r4), // %5
"=r"(kptr) // %6
: "0"(outptr0),
"1"(r0),
"2"(r1),
"3"(r2),
"4"(r3),
"5"(r4),
"6"(kptr)
: "memory", "v0", "v1", "v2", "v3", "v4", "v16", "v17", "v18", "v19", "v20", "v21", "v22", "v23", "v24", "v25", "v26", "v27");
#else // __aarch64__
asm volatile(
"pld [%0, #128] \n"
"vld1.f32 {d24-d25}, [%0 :128] \n" // sum0
"pld [%1, #256] \n"
"vld1.f32 {d0-d3}, [%1 :128]! \n" // r00 r01
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmul.f32 q13, q8, d0[0] \n"
"vmul.f32 q14, q9, d0[1] \n"
"vmul.f32 q15, q10, d1[0] \n"
"vmla.f32 q12, q11, d1[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%1, #384] \n"
"vldm %1, {d4-d9} \n" // r02 r03 r04
"vmla.f32 q13, q8, d2[0] \n"
"vmla.f32 q14, q9, d2[1] \n"
"vmla.f32 q15, q10, d3[0] \n"
"vmla.f32 q12, q11, d3[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q13, q8, d4[0] \n"
"vmla.f32 q14, q9, d4[1] \n"
"vmla.f32 q15, q10, d5[0] \n"
"vmla.f32 q12, q11, d5[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q13, q8, d6[0] \n"
"vmla.f32 q14, q9, d6[1] \n"
"vmla.f32 q15, q10, d7[0] \n"
"vmla.f32 q12, q11, d7[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%2, #256] \n"
"vld1.f32 {d0-d3}, [%2 :128]! \n" // r10 r11
"vmla.f32 q13, q8, d8[0] \n"
"vmla.f32 q14, q9, d8[1] \n"
"vmla.f32 q15, q10, d9[0] \n"
"vmla.f32 q12, q11, d9[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q13, q8, d0[0] \n"
"vmla.f32 q14, q9, d0[1] \n"
"vmla.f32 q15, q10, d1[0] \n"
"vmla.f32 q12, q11, d1[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%2, #384] \n"
"vldm %2, {d4-d9} \n" // r12 r13 r14
"vmla.f32 q13, q8, d2[0] \n"
"vmla.f32 q14, q9, d2[1] \n"
"vmla.f32 q15, q10, d3[0] \n"
"vmla.f32 q12, q11, d3[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q13, q8, d4[0] \n"
"vmla.f32 q14, q9, d4[1] \n"
"vmla.f32 q15, q10, d5[0] \n"
"vmla.f32 q12, q11, d5[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q13, q8, d6[0] \n"
"vmla.f32 q14, q9, d6[1] \n"
"vmla.f32 q15, q10, d7[0] \n"
"vmla.f32 q12, q11, d7[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%3, #256] \n"
"vld1.f32 {d0-d3}, [%3 :128]! \n" // r20 r21
"vmla.f32 q13, q8, d8[0] \n"
"vmla.f32 q14, q9, d8[1] \n"
"vmla.f32 q15, q10, d9[0] \n"
"vmla.f32 q12, q11, d9[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q13, q8, d0[0] \n"
"vmla.f32 q14, q9, d0[1] \n"
"vmla.f32 q15, q10, d1[0] \n"
"vmla.f32 q12, q11, d1[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%3, #384] \n"
"vldm %3, {d4-d9} \n" // r22 r23 r24
"vmla.f32 q13, q8, d2[0] \n"
"vmla.f32 q14, q9, d2[1] \n"
"vmla.f32 q15, q10, d3[0] \n"
"vmla.f32 q12, q11, d3[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q13, q8, d4[0] \n"
"vmla.f32 q14, q9, d4[1] \n"
"vmla.f32 q15, q10, d5[0] \n"
"vmla.f32 q12, q11, d5[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q13, q8, d6[0] \n"
"vmla.f32 q14, q9, d6[1] \n"
"vmla.f32 q15, q10, d7[0] \n"
"vmla.f32 q12, q11, d7[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%4, #256] \n"
"vld1.f32 {d0-d3}, [%4 :128]! \n" // r30 r31
"vmla.f32 q13, q8, d8[0] \n"
"vmla.f32 q14, q9, d8[1] \n"
"vmla.f32 q15, q10, d9[0] \n"
"vmla.f32 q12, q11, d9[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q13, q8, d0[0] \n"
"vmla.f32 q14, q9, d0[1] \n"
"vmla.f32 q15, q10, d1[0] \n"
"vmla.f32 q12, q11, d1[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%4, #384] \n"
"vldm %4, {d4-d9} \n" // r32 r33 r34
"vmla.f32 q13, q8, d2[0] \n"
"vmla.f32 q14, q9, d2[1] \n"
"vmla.f32 q15, q10, d3[0] \n"
"vmla.f32 q12, q11, d3[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q13, q8, d4[0] \n"
"vmla.f32 q14, q9, d4[1] \n"
"vmla.f32 q15, q10, d5[0] \n"
"vmla.f32 q12, q11, d5[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q13, q8, d6[0] \n"
"vmla.f32 q14, q9, d6[1] \n"
"vmla.f32 q15, q10, d7[0] \n"
"vmla.f32 q12, q11, d7[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%5, #256] \n"
"vld1.f32 {d0-d3}, [%5 :128]! \n" // r40 r41
"vmla.f32 q13, q8, d8[0] \n"
"vmla.f32 q14, q9, d8[1] \n"
"vmla.f32 q15, q10, d9[0] \n"
"vmla.f32 q12, q11, d9[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q13, q8, d0[0] \n"
"vmla.f32 q14, q9, d0[1] \n"
"vmla.f32 q15, q10, d1[0] \n"
"vmla.f32 q12, q11, d1[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"pld [%5, #384] \n"
"vldm %5, {d4-d9} \n" // r42 r43 r44
"vmla.f32 q13, q8, d2[0] \n"
"vmla.f32 q14, q9, d2[1] \n"
"vmla.f32 q15, q10, d3[0] \n"
"vmla.f32 q12, q11, d3[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q13, q8, d4[0] \n"
"vmla.f32 q14, q9, d4[1] \n"
"vmla.f32 q15, q10, d5[0] \n"
"vmla.f32 q12, q11, d5[1] \n"
"pld [%6, #512] \n"
"vldm %6!, {d16-d23} \n"
"vmla.f32 q13, q8, d6[0] \n"
"vmla.f32 q14, q9, d6[1] \n"
"vmla.f32 q15, q10, d7[0] \n"
"vmla.f32 q12, q11, d7[1] \n"
// "pld [%6, #512] \n"
"vldm %6, {d16-d23} \n"
"vmla.f32 q13, q8, d8[0] \n"
"vmla.f32 q14, q9, d8[1] \n"
"vmla.f32 q15, q10, d9[0] \n"
"vmla.f32 q12, q11, d9[1] \n"
"vadd.f32 q14, q13, q14 \n"
"vadd.f32 q15, q14, q15 \n"
"vadd.f32 q12, q12, q15 \n"
"sub %6, %6, #1536 \n" // kptr -= 24 * 16;
"vst1.f32 {d24-d25}, [%0 :128]! \n"
: "=r"(outptr0), // %0
"=r"(r0), // %1
"=r"(r1), // %2
"=r"(r2), // %3
"=r"(r3), // %4
"=r"(r4), // %5
"=r"(kptr) // %6
: "0"(outptr0),
"1"(r0),
"2"(r1),
"3"(r2),
"4"(r3),
"5"(r4),
"6"(kptr)
: "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15");
#endif // __aarch64__
}
r0 += tailstep;
r1 += tailstep;
r2 += tailstep;
r3 += tailstep;
r4 += tailstep;
}
}
}
}
|
ligra.h | // This code is part of the project "Ligra: A Lightweight Graph Processing
// Framework for Shared Memory", presented at Principles and Practice of
// Parallel Programming, 2013.
// Copyright (c) 2013 Julian Shun and Guy Blelloch
//
// 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 LIGRA_H
#define LIGRA_H
#include <iostream>
#include <fstream>
#include <stdlib.h>
#include <cstring>
#include <string>
#include <algorithm>
#include <cassert>
#include "parallel.h"
#include "gettime.h"
#include "timer.h" //timer from GAP
#include "utils.h"
#include "vertex.h"
#include "compressedVertex.h"
#include "vertexSubset.h"
#include "graph.h"
#include "IO.h"
#include "parseCommandLine.h"
#include "gettime.h"
#include "index_map.h"
#include "edgeMap_utils.h"
using namespace std;
//*****START FRAMEWORK*****
typedef uint32_t flags;
const flags no_output = 1;
const flags pack_edges = 2;
const flags sparse_no_filter = 4;
const flags dense_forward = 8;
const flags dense_parallel = 16;
const flags remove_duplicates = 32;
inline bool should_output(const flags& fl) { return !(fl & no_output); }
const int dynChunkSz = 64; //chunk size for openmp's dynamic scheduling
template <class data, class vertex, class VS, class F>
vertexSubsetData<data> edgeMapDense(graph<vertex> GA, VS& vertexSubset, F &f, const flags fl) {
using D = tuple<bool, data>;
long n = GA.n;
vertex *G = GA.V;
if (should_output(fl)) {
D* next = newA(D, n);
auto g = get_emdense_gen<data>(next);
#pragma omp parallel for schedule (dynamic, dynChunkSz)
for (long v=0; v<n; v++) {
std::get<0>(next[v]) = 0;
if (f.cond(v)) {
G[v].decodeInNghBreakEarly(v, vertexSubset, f, g, fl & dense_parallel);
}
}
return vertexSubsetData<data>(n, next);
} else {
auto g = get_emdense_nooutput_gen<data>();
#pragma omp parallel for schedule (dynamic, dynChunkSz)
for (long v=0; v<n; v++) {
if (f.cond(v)) {
G[v].decodeInNghBreakEarly(v, vertexSubset, f, g, fl & dense_parallel);
}
}
return vertexSubsetData<data>(n);
}
}
template <class data, class vertex, class VS, class F>
vertexSubsetData<data> edgeMapDenseForward(graph<vertex> GA, VS& vertexSubset, F &f, const flags fl) {
using D = tuple<bool, data>;
long n = GA.n;
vertex *G = GA.V;
if (should_output(fl)) {
D* next = newA(D, n);
auto g = get_emdense_forward_gen<data>(next);
parallel_for(long i=0;i<n;i++) { std::get<0>(next[i]) = 0; }
#pragma omp parallel for schedule (dynamic, dynChunkSz)
for (long i=0; i<n; i++) {
if (vertexSubset.isIn(i)) {
G[i].decodeOutNgh(i, f, g);
}
}
return vertexSubsetData<data>(n, next);
} else {
auto g = get_emdense_forward_nooutput_gen<data>();
#pragma omp parallel for schedule (dynamic, dynChunkSz)
for (long i=0; i<n; i++) {
if (vertexSubset.isIn(i)) {
G[i].decodeOutNgh(i, f, g);
}
}
return vertexSubsetData<data>(n);
}
}
template <class data, class vertex, class VS, class F>
vertexSubsetData<data> edgeMapSparse(graph<vertex>& GA, vertex* frontierVertices, VS& indices,
uintT* degrees, uintT m, F &f, const flags fl) {
using S = tuple<uintE, data>;
long n = indices.n;
S* outEdges;
long outEdgeCount = 0;
if (should_output(fl)) {
uintT* offsets = degrees;
outEdgeCount = sequence::plusScan(offsets, offsets, m);
outEdges = newA(S, outEdgeCount);
auto g = get_emsparse_gen<data>(outEdges);
#pragma omp parallel for schedule (dynamic, dynChunkSz)
for (size_t i = 0; i < m; i++) {
uintT v = indices.vtx(i), o = offsets[i];
vertex vert = frontierVertices[i];
vert.decodeOutNghSparse(v, o, f, g);
}
} else {
auto g = get_emsparse_nooutput_gen<data>();
#pragma omp parallel for schedule (dynamic, dynChunkSz)
for (size_t i = 0; i < m; i++) {
uintT v = indices.vtx(i);
vertex vert = frontierVertices[i];
vert.decodeOutNghSparse(v, 0, f, g);
}
}
if (should_output(fl)) {
S* nextIndices = newA(S, outEdgeCount);
if (fl & remove_duplicates) {
if (GA.flags == NULL) {
GA.flags = newA(uintE, n);
parallel_for(long i=0;i<n;i++) { GA.flags[i]=UINT_E_MAX; }
}
auto get_key = [&] (size_t i) -> uintE& { return std::get<0>(outEdges[i]); };
remDuplicates(get_key, GA.flags, outEdgeCount, n);
}
auto p = [] (tuple<uintE, data>& v) { return std::get<0>(v) != UINT_E_MAX; };
size_t nextM = pbbs::filterf(outEdges, nextIndices, outEdgeCount, p);
free(outEdges);
return vertexSubsetData<data>(n, nextM, nextIndices);
} else {
return vertexSubsetData<data>(n);
}
}
template <class data, class vertex, class VS, class F>
vertexSubsetData<data> edgeMapSparse_no_filter(graph<vertex>& GA,
vertex* frontierVertices, VS& indices, uintT* offsets, uintT m, F& f,
const flags fl) {
using S = tuple<uintE, data>;
long n = indices.n;
long outEdgeCount = sequence::plusScan(offsets, offsets, m);
S* outEdges = newA(S, outEdgeCount);
auto g = get_emsparse_no_filter_gen<data>(outEdges);
// binary-search into scan to map workers->chunks
size_t b_size = 10000;
size_t n_blocks = nblocks(outEdgeCount, b_size);
uintE* cts = newA(uintE, n_blocks+1);
size_t* block_offs = newA(size_t, n_blocks+1);
auto offsets_m = make_in_imap<uintT>(m, [&] (size_t i) { return offsets[i]; });
auto lt = [] (const uintT& l, const uintT& r) { return l < r; };
parallel_for(size_t i=0; i<n_blocks; i++) {
size_t s_val = i*b_size;
block_offs[i] = pbbs::binary_search(offsets_m, s_val, lt);
}
block_offs[n_blocks] = m;
#pragma omp parallel for schedule (dynamic, dynChunkSz / 8)
for (size_t i=0; i<n_blocks; i++) {
if ((i == n_blocks-1) || block_offs[i] != block_offs[i+1]) {
// start and end are offsets in [m]
size_t start = block_offs[i];
size_t end = block_offs[i+1];
uintT start_o = offsets[start];
uintT k = start_o;
for (size_t j=start; j<end; j++) {
uintE v = indices.vtx(j);
size_t num_in = frontierVertices[j].decodeOutNghSparseSeq(v, k, f, g);
k += num_in;
}
cts[i] = (k - start_o);
} else {
cts[i] = 0;
}
}
long outSize = sequence::plusScan(cts, cts, n_blocks);
cts[n_blocks] = outSize;
S* out = newA(S, outSize);
parallel_for (size_t i=0; i<n_blocks; i++) {
if ((i == n_blocks-1) || block_offs[i] != block_offs[i+1]) {
size_t start = block_offs[i];
size_t start_o = offsets[start];
size_t out_off = cts[i];
size_t block_size = cts[i+1] - out_off;
for (size_t j=0; j<block_size; j++) {
out[out_off + j] = outEdges[start_o + j];
}
}
}
free(outEdges); free(cts); free(block_offs);
if (fl & remove_duplicates) {
if (GA.flags == NULL) {
GA.flags = newA(uintE, n);
parallel_for(size_t i=0;i<n;i++) { GA.flags[i]=UINT_E_MAX; }
}
auto get_key = [&] (size_t i) -> uintE& { return std::get<0>(out[i]); };
remDuplicates(get_key, GA.flags, outSize, n);
S* nextIndices = newA(S, outSize);
auto p = [] (tuple<uintE, data>& v) { return std::get<0>(v) != UINT_E_MAX; };
size_t nextM = pbbs::filterf(out, nextIndices, outSize, p);
free(out);
return vertexSubsetData<data>(n, nextM, nextIndices);
}
return vertexSubsetData<data>(n, outSize, out);
}
// Decides on sparse or dense base on number of nonzeros in the active vertices.
template <class data, class vertex, class VS, class F>
vertexSubsetData<data> edgeMapData(graph<vertex>& GA, VS &vs, F f,
intT threshold = -1, const flags& fl=0) {
long numVertices = GA.n, numEdges = GA.m, m = vs.numNonzeros();
if(threshold == -1) threshold = numEdges/20; //default threshold
vertex *G = GA.V;
if (numVertices != vs.numRows()) {
cout << "edgeMap: Sizes Don't match" << endl;
abort();
}
if (vs.size() == 0) return vertexSubsetData<data>(numVertices);
vs.toSparse();
uintT* degrees = newA(uintT, m);
vertex* frontierVertices = newA(vertex,m);
{parallel_for (size_t i=0; i < m; i++) {
uintE v_id = vs.vtx(i);
vertex v = G[v_id];
degrees[i] = v.getOutDegree();
frontierVertices[i] = v;
}}
uintT outDegrees = sequence::plusReduce(degrees, m);
if (outDegrees == 0) return vertexSubsetData<data>(numVertices);
if (m + outDegrees > threshold) {
vs.toDense();
free(degrees); free(frontierVertices);
return (fl & dense_forward) ?
edgeMapDenseForward<data, vertex, VS, F>(GA, vs, f, fl) :
edgeMapDense<data, vertex, VS, F>(GA, vs, f, fl);
} else {
auto vs_out =
(should_output(fl) && fl & sparse_no_filter) ? // only call snof when we output
edgeMapSparse_no_filter<data, vertex, VS, F>(GA, frontierVertices, vs, degrees, vs.numNonzeros(), f, fl) :
edgeMapSparse<data, vertex, VS, F>(GA, frontierVertices, vs, degrees, vs.numNonzeros(), f, fl);
free(degrees); free(frontierVertices);
return vs_out;
}
}
// Regular edgeMap, where no extra data is stored per vertex.
template <class vertex, class VS, class F>
vertexSubset edgeMap(graph<vertex> GA, VS& vs, F f,
intT threshold = -1, const flags& fl=0) {
return edgeMapData<pbbs::empty>(GA, vs, f, threshold, fl);
}
/* General function to print stats about frontier size */
template <class VS>
void frontierStats(VS& vs, long numVertices, bool KCore = false) {
if (KCore) {
double percent = (static_cast<double>(vs.size()) / static_cast<double>(numVertices)) * 100;
if (vs.dense()) {
std::cout << "PULL iteration. Frontier size = " << percent << std::endl;
}
else {
std::cout << "PUSH iteration. Frontier size = " << percent << std::endl;
}
}
return;
}
// Packs out the adjacency lists of all vertex in vs. A neighbor, ngh, is kept
// in the new adjacency list if p(ngh) is true.
// Weighted graphs are not yet supported, but this should be easy to do.
template <class vertex, class P>
vertexSubsetData<uintE> packEdges(graph<vertex>& GA, vertexSubset& vs, P& p, const flags& fl=0) {
using S = tuple<uintE, uintE>;
vs.toSparse();
vertex* G = GA.V; long m = vs.numNonzeros(); long n = vs.numRows();
if (vs.size() == 0) {
return vertexSubsetData<uintE>(n);
}
auto degrees = array_imap<uintT>(m);
granular_for(i, 0, m, (m > 2000), {
uintE v = vs.vtx(i);
degrees[i] = G[v].getOutDegree();
});
long outEdgeCount = pbbs::scan_add(degrees, degrees);
S* outV;
if (should_output(fl)) {
outV = newA(S, vs.size());
}
bool* bits = newA(bool, outEdgeCount);
uintE* tmp1 = newA(uintE, outEdgeCount);
uintE* tmp2 = newA(uintE, outEdgeCount);
if (should_output(fl)) {
parallel_for (size_t i=0; i<m; i++) {
uintE v = vs.vtx(i);
size_t offset = degrees[i];
auto bitsOff = &(bits[offset]); auto tmp1Off = &(tmp1[offset]);
auto tmp2Off = &(tmp2[offset]);
size_t ct = G[v].packOutNgh(v, p, bitsOff, tmp1Off, tmp2Off);
outV[i] = make_tuple(v, ct);
}
} else {
parallel_for (size_t i=0; i<m; i++) {
uintE v = vs.vtx(i);
size_t offset = degrees[i];
auto bitsOff = &(bits[offset]); auto tmp1Off = &(tmp1[offset]);
auto tmp2Off = &(tmp2[offset]);
size_t ct = G[v].packOutNgh(v, p, bitsOff, tmp1Off, tmp2Off);
}
}
free(bits); free(tmp1); free(tmp2);
if (should_output(fl)) {
return vertexSubsetData<uintE>(n, m, outV);
} else {
return vertexSubsetData<uintE>(n);
}
}
template <class vertex, class P>
vertexSubsetData<uintE> edgeMapFilter(graph<vertex>& GA, vertexSubset& vs, P& p, const flags& fl=0) {
vs.toSparse();
if (fl & pack_edges) {
return packEdges<vertex, P>(GA, vs, p, fl);
}
vertex* G = GA.V; long m = vs.numNonzeros(); long n = vs.numRows();
using S = tuple<uintE, uintE>;
if (vs.size() == 0) {
return vertexSubsetData<uintE>(n);
}
S* outV;
if (should_output(fl)) {
outV = newA(S, vs.size());
}
if (should_output(fl)) {
parallel_for (size_t i=0; i<m; i++) {
uintE v = vs.vtx(i);
size_t ct = G[v].countOutNgh(v, p);
outV[i] = make_tuple(v, ct);
}
} else {
parallel_for (size_t i=0; i<m; i++) {
uintE v = vs.vtx(i);
size_t ct = G[v].countOutNgh(v, p);
}
}
if (should_output(fl)) {
return vertexSubsetData<uintE>(n, m, outV);
} else {
return vertexSubsetData<uintE>(n);
}
}
//*****VERTEX FUNCTIONS*****
template <class F, class VS, typename std::enable_if<
!std::is_same<VS, vertexSubset>::value, int>::type=0 >
void vertexMap(VS& V, F f) {
size_t n = V.numRows(), m = V.numNonzeros();
if(V.dense()) {
parallel_for(long i=0;i<n;i++) {
if(V.isIn(i)) {
f(i, V.ithData(i));
}
}
} else {
parallel_for(long i=0;i<m;i++) {
f(V.vtx(i), V.vtxData(i));
}
}
}
template <class VS, class F, typename std::enable_if<
std::is_same<VS, vertexSubset>::value, int>::type=0 >
void vertexMap(VS& V, F f) {
size_t n = V.numRows(), m = V.numNonzeros();
if(V.dense()) {
parallel_for(long i=0;i<n;i++) {
if(V.isIn(i)) {
f(i);
}
}
} else {
parallel_for(long i=0;i<m;i++) {
f(V.vtx(i));
}
}
}
//Note: this is the version of vertexMap in which only a subset of the
//input vertexSubset is returned
template <class F>
vertexSubset vertexFilter(vertexSubset V, F filter) {
long n = V.numRows(), m = V.numNonzeros();
V.toDense();
bool* d_out = newA(bool,n);
{parallel_for(long i=0;i<n;i++) d_out[i] = 0;}
{parallel_for(long i=0;i<n;i++)
if(V.d[i]) d_out[i] = filter(i);}
return vertexSubset(n,d_out);
}
template <class F>
vertexSubset vertexFilter2(vertexSubset V, F filter) {
long n = V.numRows(), m = V.numNonzeros();
if (m == 0) {
return vertexSubset(n);
}
bool* bits = newA(bool, m);
V.toSparse();
{parallel_for(size_t i=0; i<m; i++) {
uintE v = V.vtx(i);
bits[i] = filter(v);
}}
auto v_imap = make_in_imap<uintE>(m, [&] (size_t i) { return V.vtx(i); });
auto bits_m = make_in_imap<bool>(m, [&] (size_t i) { return bits[i]; });
auto out = pbbs::pack(v_imap, bits_m);
out.alloc = false;
free(bits);
return vertexSubset(n, out.size(), out.s);
}
template <class data, class F>
vertexSubset vertexFilter2(vertexSubsetData<data> V, F filter) {
long n = V.numRows(), m = V.numNonzeros();
if (m == 0) {
return vertexSubset(n);
}
bool* bits = newA(bool, m);
V.toSparse();
parallel_for(size_t i=0; i<m; i++) {
auto t = V.vtxAndData(i);
bits[i] = filter(std::get<0>(t), std::get<1>(t));
}
auto v_imap = make_in_imap<uintE>(m, [&] (size_t i) { return V.vtx(i); });
auto bits_m = make_in_imap<bool>(m, [&] (size_t i) { return bits[i]; });
auto out = pbbs::pack(v_imap, bits_m);
out.alloc = false;
free(bits);
return vertexSubset(n, out.size(), out.s);
}
//cond function that always returns true
inline bool cond_true (intT d) { return 1; }
template<class vertex>
void Compute(graph<vertex>&, commandLine, pvector<uintE> &new_ids);
int parallel_main(int argc, char* argv[]) {
commandLine P(argc,argv," [-s] <inFile>");
char* iFile = P.getArgument(0);
bool symmetric = P.getOptionValue("-s");
bool compressed = P.getOptionValue("-c");
bool binary = P.getOptionValue("-b");
bool mmap = P.getOptionValue("-m");
bool isPageRank = (P.getOptionIntValue("-pagerank", -1) == 1);
bool isDenseWrite = (P.getOptionIntValue("-densewrite", -1) == 1);
/* preprocessing options : 0 - outdegsort, 1 - indegsort, else - no-preprocessing */
int preprocess = P.getOptionIntValue("-preprocess", -1);
//cout << "mmap = " << mmap << endl;
long rounds = P.getOptionLongValue("-rounds",3);
if (compressed) {
assert(false);
#if 0
if (symmetric) {
graph<compressedSymmetricVertex> G =
readCompressedGraph<compressedSymmetricVertex>(iFile,symmetric,mmap); //symmetric graph
Compute(G,P);
for(int r=0;r<rounds;r++) {
startTime();
Compute(G,P);
nextTime("Running time");
}
G.del();
} else {
graph<compressedAsymmetricVertex> G =
readCompressedGraph<compressedAsymmetricVertex>(iFile,symmetric,mmap); //asymmetric graph
Compute(G,P);
if(G.transposed) G.transpose();
for(int r=0;r<rounds;r++) {
startTime();
Compute(G,P);
nextTime("Running time");
if(G.transposed) G.transpose();
}
G.del();
}
#endif
} else {
if (symmetric) {
graph<symmetricVertex> G =
readGraph<symmetricVertex>(iFile,compressed,symmetric,binary,mmap); //symmetric graph
pvector<uintE> new_ids(G.n, UINT_E_MAX);
if (preprocess == 0 || preprocess == 1) {
graph<symmetricVertex> newG = preprocessGraph<symmetricVertex>(G, symmetric, (preprocess == 0), new_ids);
G.del();
Compute(newG,P,new_ids);
for(int r=0;r<rounds;r++) {
//startTime();
Compute(newG,P,new_ids);
//nextTime("Running time");
}
newG.del();
}
else {
Compute(G,P,new_ids);
for(int r=0;r<rounds;r++) {
//startTime();
Compute(G,P,new_ids);
//nextTime("Running time");
}
G.del();
}
} else {
graph<asymmetricVertex> G =
readGraph<asymmetricVertex>(iFile,compressed,symmetric,binary,mmap); //asymmetric graph
pvector<uintE> new_ids(G.n, UINT_E_MAX);
if (preprocess == 0 || preprocess == 1) {
graph<asymmetricVertex> newG = preprocessGraph<asymmetricVertex>(G, symmetric, (preprocess == 0), new_ids, isPageRank, isDenseWrite);
G.del();
Compute(newG,P,new_ids);
if(newG.transposed) newG.transpose();
for(int r=0;r<rounds;r++) {
//startTime();
Compute(newG,P,new_ids);
if(newG.transposed) newG.transpose();
//nextTime("Running time");
}
newG.del();
}
else {
Compute(G,P,new_ids);
if(G.transposed) G.transpose();
for(int r=0;r<rounds;r++) {
//startTime();
Compute(G,P,new_ids);
if(G.transposed) G.transpose();
//nextTime("Running time");
}
G.del();
}
}
}
}
#endif
|
calculate_discontinuous_distance_to_skin_process.h | // | / |
// ' / __| _` | __| _ \ __|
// . \ | ( | | ( |\__ `
// _|\_\_| \__,_|\__|\___/ ____/
// Multi-Physics
//
// License: BSD License
// Kratos default license: kratos/license.txt
//
// Main authors: Pooyan Dadvand
// Ruben Zorrilla
//
// Collaborators: Franziska Wahl
//
#if !defined(KRATOS_CALCULATE_DISCONTINUOUS_DISTANCE_TO_SKIN_PROCESS_H_INCLUDED )
#define KRATOS_CALCULATE_DISCONTINUOUS_DISTANCE_TO_SKIN_PROCESS_H_INCLUDED
// System includes
#include <string>
#include <iostream>
// External includes
// Project includes
#include "geometries/plane_3d.h"
#include "includes/checks.h"
#include "processes/process.h"
#include "processes/find_intersected_geometrical_objects_process.h"
#include "utilities/variable_utils.h"
#include "utilities/pointer_communicator.h"
namespace Kratos
{
///@addtogroup Kratos Core
///@{
///@name Kratos Classes
///@{
class KRATOS_API(KRATOS_CORE) CalculateDiscontinuousDistanceToSkinProcessFlags
{
public:
KRATOS_DEFINE_LOCAL_FLAG(CALCULATE_ELEMENTAL_EDGE_DISTANCES); /// Local flag to switch on/off the elemental edge distances storage
KRATOS_DEFINE_LOCAL_FLAG(CALCULATE_ELEMENTAL_EDGE_DISTANCES_EXTRAPOLATED); /// Local flag to switch on/off the extrapolated elemental edge distances storage
KRATOS_DEFINE_LOCAL_FLAG(USE_POSITIVE_EPSILON_FOR_ZERO_VALUES); /// Local flag to switch from positive (true) to negative (false) epsilon when replacing zero distance values.
};
/// This only calculates the distance. Calculating the inside outside should be done by a derived class of this.
/** This process takes a volume model part (with tetrahedra mesh) and a skin model part (with triangle mesh) and
and calcualtes the distance to the skin for all the elements and nodes of the volume model part.
*/
template<std::size_t TDim = 3>
class KRATOS_API(KRATOS_CORE) CalculateDiscontinuousDistanceToSkinProcess : public Process
{
public:
///@name Type Definitions
///@{
/// Pointer definition of CalculateDiscontinuousDistanceToSkinProcess
KRATOS_CLASS_POINTER_DEFINITION(CalculateDiscontinuousDistanceToSkinProcess);
///@}
///@name Life Cycle
///@{
/// Constructor to be used.
CalculateDiscontinuousDistanceToSkinProcess(
ModelPart& rVolumePart,
ModelPart& rSkinPart);
/// Constructor with option
CalculateDiscontinuousDistanceToSkinProcess(
ModelPart& rVolumePart,
ModelPart& rSkinPart,
const Flags rOptions);
/// Constructor with parameters
CalculateDiscontinuousDistanceToSkinProcess(
ModelPart& rVolumePart,
ModelPart& rSkinPart,
Parameters& rParameters);
/// Destructor.
~CalculateDiscontinuousDistanceToSkinProcess() override;
///@}
///@name Deleted
///@{
/// Default constructor.
CalculateDiscontinuousDistanceToSkinProcess() = delete;
/// Copy constructor.
CalculateDiscontinuousDistanceToSkinProcess(CalculateDiscontinuousDistanceToSkinProcess const& rOther) = delete;
/// Assignment operator.
CalculateDiscontinuousDistanceToSkinProcess& operator=(CalculateDiscontinuousDistanceToSkinProcess const& rOther) = delete;
FindIntersectedGeometricalObjectsProcess mFindIntersectedObjectsProcess;
///@}
///@name Operations
///@{
/**
* @brief Initializes discontinuous distance computation process
* This method initializes the TO_SPLIT flag, the DISTANCE and
* ELEMENTAL_DISTANCES variables as well as the EMBEDDED_VELOCITY
*/
virtual void Initialize();
/**
* @brief Calls the FindIntersectedObjectsProcess to find the intersections
* This method calls the FindIntersectedObjectsProcess FindIntersections method.
*/
virtual void FindIntersections();
/**
* @brief Get the array containing the intersecting objects
* This method returns an array containing pointers to the intersecting geometries
* @return std::vector<PointerVector<GeometricalObject>>&
*/
virtual std::vector<PointerVector<GeometricalObject>>& GetIntersections();
/**
* @brief Computes the elemental distance values
* Given an intersecting objects vector, this method computes the elemental distance field
* @param rIntersectedObjects array containing pointers to the intersecting geometries
*/
virtual void CalculateDistances(std::vector<PointerVector<GeometricalObject>>& rIntersectedObjects);
/**
* @brief Calls the FindIntersectedObjects Clear() method
* This method calls the FindIntersectedObjects Clear() to empty the intersecting objects geometries array
*/
void Clear() override;
/**
* @brief Executes the CalculateDiscontinuousDistanceToSkinProcess
* This method automatically does all the calls required to compute the discontinuous distance function.
*/
void Execute() override;
/**
* @brief Calculate embedded variable from skin double specialization
* This method calls the specialization method for two double variables
* @param rVariable origin double variable in the skin mesh
* @param rEmbeddedVariable elemental double variable in the volume mesh to be computed
*/
void CalculateEmbeddedVariableFromSkin(
const Variable<double> &rVariable,
const Variable<double> &rEmbeddedVariable);
/**
* @brief Calculate embedded variable from skin array specialization
* This method calls the specialization method for two double variables
* @param rVariable origin array variable in the skin mesh
* @param rEmbeddedVariable elemental array variable in the volume mesh to be computed
*/
void CalculateEmbeddedVariableFromSkin(
const Variable<array_1d<double,3>> &rVariable,
const Variable<array_1d<double,3>> &rEmbeddedVariable);
/**
* @brief Obtain the default parameters to construct the class.
*/
const Parameters GetDefaultParameters() const override;
///@}
///@name Access
///@{
///@}
///@name Input and output
///@{
/// Turn back information as a string.
std::string Info() const override;
/// Print information about this object.
void PrintInfo(std::ostream& rOStream) const override;
/// Print object's data.
void PrintData(std::ostream& rOStream) const override;
///@}
protected:
///@name Protected Operations
///@{
/**
* @brief Set the Intersection Plane object
* This method returns the plane that defines the element intersection. The 2D
* case is considered to be a simplification of the 3D one, so a "fake" extra
* point is created by extruding the first point in the z-direction.
* @param rIntPtsVector array containing the intersecting points coordinates
* @return Plane3D the plane defined by the given intersecting points coordinates
*/
Plane3D SetIntersectionPlane(const std::vector<array_1d<double,3>> &rIntPtsVector);
/**
* @brief Calculates the domain characteristic length
* This method computes the domain characteristic length as the norm of
* the diagonal vector that joins the maximum and minimum coordinates
* @return double the calculated characteristic length
*/
double CalculateCharacteristicLength();
///@}
private:
///@name Member Variables
///@{
ModelPart& mrSkinPart;
ModelPart& mrVolumePart;
Flags mOptions;
static const std::size_t mNumNodes = TDim + 1;
static const std::size_t mNumEdges = (TDim == 2) ? 3 : 6;
const double mZeroToleranceMultiplier = 1e3;
bool mDetectedZeroDistanceValues = false;
bool mAreNeighboursComputed = false;
bool mCalculateElementalEdgeDistances = false;
bool mCalculateElementalEdgeDistancesExtrapolated = false;
bool mUsePositiveEpsilonForZeroValues = true;
///@}
///@name Private Operations
///@{
/**
* @brief Computes the discontinuous distance in one element
* This method computes the discontinuous distance field for a given element
* @param rElement1 reference to the element of interest
* @param rIntersectedObjects reference to the array containing the element of interest intersecting geometries
*/
void CalculateElementalDistances(
Element& rElement1,
PointerVector<GeometricalObject>& rIntersectedObjects);
/**
* @brief Computes the discontinuous edge-based distance in one element
* This method computes the discontinuous edge-based distance field for a given element
* @param rElement1 reference to the element of interest
* @param rIntersectedObjects reference to the array containing the element of interest intersecting geometries
*/
void CalculateElementalAndEdgeDistances(
Element& rElement1,
PointerVector<GeometricalObject>& rIntersectedObjects);
/**
* @brief Computes the edges intersections in one element
* Provided a list of elemental intersecting geometries, this
* method computes the edge intersections for a given element
* @param rElement1 reference to the element of interest
* @param rIntersectedObjects reference to the array containing the element of interest intersecting geometries
* @param rEdgesContainer reference to the array containing the edges of the element of interest
* @param rCutEdgesRatioVector array that stores the relative positions from node zero of the average intersection points
* @param rCutExtraEdgesRatioVector array that stores the relative positions from node zero of the average intersection points of the extrapolated geometry
* @param rIntersectionPointsArray array containing the edges intersection points
* @return unsigned int number of cut edges
*/
unsigned int ComputeEdgesIntersections(
Element& rElement1,
const PointerVector<GeometricalObject>& rIntersectedObjects,
const Element::GeometryType::GeometriesArrayType& rEdgesContainer,
array_1d<double,mNumEdges> &rCutEdgesRatioVector,
array_1d<double,mNumEdges> &rCutExtraEdgesRatioVector,
std::vector<array_1d <double,3> > &rIntersectionPointsArray);
/**
* @brief Computes the intersection of a single edge
* This method computes the intersection of a given edge with the candidate
* intersecting geometry. This operation is performed accordingly to the working
* space dimension using the intersection utilities implemented in intersection_utilities.h
* @param rIntObjGeometry candidate intersecting geometry
* @param rEdgePoint1 edge origin point
* @param rEdgePoint2 edge end point
* @param rIntersectionPoint intersection point
* @return int type of intersection id (see intersection_utilities.h)
*/
int ComputeEdgeIntersection(
const Element::GeometryType& rIntObjGeometry,
const Element::NodeType& rEdgePoint1,
const Element::NodeType& rEdgePoint2,
Point& rIntersectionPoint);
/**
* @brief Checks if rIntersectionPoint is already present in the
* intersection point list in rIntersectionPointsVector for the tolerance rTolerance.
* @param rIntersectionPoint reference to the intersection point
* @param rIntersectionPointsVector reference to the list of already computed intersected points
* @param rEdgeTolerance tolerance to compare two points and assess if they are equal
* @return bool if rIntersectionPoint is present in rIntersectionPointsVector
*/
bool CheckIfPointIsRepeated(
const array_1d<double,3>& rIntersectionPoint,
const std::vector<array_1d<double,3>>& rIntersectionPointsVector,
const double& rEdgeTolerance);
/**
* @brief Computes the element intersection unit normal
* This method computes the element intersection unit normal vector using the distance function gradient.
* @param rGeometry reference to the geometry of the element of interest
* @param rElementalDistances array containing the ELEMENTAL_DISTANCES values
* @param rNormal obtained unit normal vector
*/
void ComputeIntersectionNormal(
const Element::GeometryType& rGeometry,
const Vector& rElementalDistances,
array_1d<double,3> &rNormal);
/**
* @brief Computes the nodal distances to the intersection plane
* This methods creates a plane from the intersection points and then calculates the nodal distances
* to the intersection plane.
* In presence of multiple intersections, it performs a least squares approximation of the intersection plane.
* @param rElement Element to calculate the ELEMENTAL_DISTANCES
* @param rIntersectedObjects Intersected objects container
* @param rIntersectionPointsCoordinates The edges intersection points coordinates
*/
void ComputeIntersectionPlaneElementalDistances(
Element& rElement,
const PointerVector<GeometricalObject>& rIntersectedObjects,
const std::vector<array_1d<double,3>>& rIntersectionPointsCoordinates);
/**
* @brief Computes the intersection plane approximation
* For complex intersection patterns, this method takes a list containing
* all the intersecting points and computes the plane that minimizes the
* distance from all these points in a least squares sense. The approximated
* plane is defined in terms of an origin point and its normal vector.
* @param rElement1 reference to the element of interest
* @param rPointsCoord list containing the coordinates of al the intersecting points
* @param rPlaneBasePointCoords base point defining the approximated plane
* @param rPlaneNormal normal vector defining the approximated plane
*/
void ComputePlaneApproximation(
const Element& rElement1,
const std::vector< array_1d<double,3> >& rPointsCoord,
array_1d<double,3>& rPlaneBasePointCoords,
array_1d<double,3>& rPlaneNormal);
/**
* @brief Computes the elemental distances from the approximation
* plane defined by the set of points in rPointVector.
* @param rElement reference to the element of interest
* @param rElementalDistances reference to the elemental distances container containing the coordinates of al the intersecting points
* @param rPoitnVector reference to the vector containing the poits to define the approximation plane
*/
void ComputeElementalDistancesFromPlaneApproximation(
Element& rElement,
Vector& rElementalDistances,
const std::vector<array_1d<double,3>>& rPointVector);
/**
* @brief Checks and replaces the values of the ELEMENTAL_DISTANCES vector that are
* zero. The values are replaced by an epsilon (whose sign depends on a flag)
* that is a fixed factor from the double precision. Can be deactivated by a flag.
* @param rElementalDistances array containing the ELEMENTAL_DISTANCES values
*/
void ReplaceZeroDistances(Vector& rElementalDistances);
/**
* @brief Checks (and corrects if needed) the intersection normal orientation
* This method checks the orientation of the previously computed intersection normal.
* To do that, the normal vector to each one of the intersecting geometries is
* computed and its directo is compared against the current one. If the negative
* votes win, the current normal vector orientation is switched.
* @param rGeometry element of interest geometry
* @param rIntersectedObjects reference to the array containing the element of interest intersecting geometries
* @param rElementalDistances array containing the ELEMENTAL_DISTANCES values
*/
void CorrectDistanceOrientation(
const Element::GeometryType& rGeometry,
const PointerVector<GeometricalObject>& rIntersectedObjects,
Vector& rElementalDistances);
/**
* @brief Computes the normal vector to an intersecting object geometry
* This method computes the normal vector to an intersecting object geometry.
* @param rGeometry reference to the geometry of the intersecting object
* @param rIntObjNormal reference to the intersecting object normal vector
*/
void inline ComputeIntersectionNormalFromGeometry(
const Element::GeometryType &rGeometry,
array_1d<double,3> &rIntObjNormal);
/**
* @brief Checks if element is incised and then computes the uncut edges intersections of the element
* with an averaged and extrapolated geometry. Therefore it calls 'ComputeExtrapolatedGeometryIntersections'.
* Note: for uncut or completely cut elements no ratios of the extrapolated geometry will be calculated.
* @param rElement reference to the element of interest
* @param rEdgesContainer reference to the array containing the edges of the element of interest
* @param rNumCutEdges number of cut edges of the element (by the non-extrapolated geometry)
* @param rCutEdgesRatioVector array that stores the relative positions from node zero of the average intersection points
* @param rExtraGeomNormal array as normal vector of the averaged and extrapolated geometry
* @param rCutExtraEdgesRatioVector array that stores the relative positions from node zero of the additional
* average intersection points of the extrapolated geometry
*/
void ComputeExtrapolatedEdgesIntersectionsIfIncised(
const Element& rElement,
const Element::GeometryType::GeometriesArrayType& rEdgesContainer,
unsigned int &rNumCutEdges,
array_1d<double,mNumEdges>& rCutEdgesRatioVector,
array_1d<double,3> &rExtraGeomNormal,
array_1d<double,mNumEdges>& rCutExtraEdgesRatioVector);
/**
* @brief Computes the uncut edges intersections of one element with an averaged and extrapolated geometry.
* Therefore it calls 'IntersectionUtilities'.
* It saves the edge intersections as ratios of the edge's length in rCutExtraEdgesRatioVector.
* @param rElement reference to the element of interest
* @param rEdgesContainer reference to the array containing the edges of the element of interest
* @param rNumCutEdges number of cut edges of the element
* @param rCutEdgesRatioVector array that stores the relative positions from node zero of the average intersection points
* @param rExtraGeomNormal normal of the averaged and extrapolated geometry
* @param rCutExtraEdgesRatioVector array that stores the relative positions from node zero of the additional
* average intersection points of the extrapolated geometry
*/
void ComputeExtrapolatedGeometryIntersections(
const Element& rElement,
const Element::GeometryType::GeometriesArrayType& rEdgesContainer,
unsigned int& rNumCutEdges,
array_1d<double,mNumEdges>& rCutEdgesRatioVector,
array_1d<double,3>& rExtraGeomNormal,
array_1d<double,mNumEdges>& rCutExtraEdgesRatioVector);
/**
* @brief Converts edge ratios and edge ratios of the extrapolated geometry to elemental (node) distances
* @param rElement reference to the element of interest
* @param rIntersectedObjects reference to the array containing the element of interest intersecting geometries
* @param rEdgesContainer reference to the array containing the edges of the element of interest
* @param rCutEdgesRatioVector array that stores the relative positions from node zero of the average intersection points
* (ELEMENTAL_EDGE_DISTANCES)
* @param rCutExtraEdgesRatioVector array that stores the relative positions from node zero of the additional
* average intersection points of the extrapolated geometry (ELEMENTAL_EXTRA_EDGE_DISTANCES)
*/
void ComputeElementalDistancesFromEdgeRatios(
Element& rElement,
const PointerVector<GeometricalObject>& rIntersectedObjects,
const Element::GeometryType::GeometriesArrayType& rEdgesContainer,
const array_1d<double,mNumEdges> &rCutEdgesRatioVector,
const array_1d<double,mNumEdges> &rCutExtraEdgesRatioVector);
/**
* @brief Computes the intersection points from the intersection ratios of the edges of the element of interest
* @param rGeometry reference to geometry of the element of interest
* @param rEdgesContainer reference to the array containing the edges of the element of interest
* @param rEdgeRatiosVector array containing the intersection ratios of an element's edges
* @param rIntersectionPointsVector vector containing the intersection point arrays
*/
void ConvertRatiosToIntersectionPoints(
const Element::GeometryType& rGeometry,
const Element::GeometryType::GeometriesArrayType& rEdgesContainer,
const array_1d<double,mNumEdges> &rEdgeRatiosVector,
std::vector<array_1d <double,3> > &rIntersectionPointsVector);
/**
* @brief Checks whether the edges of an element, which are cut, all share one node
* @param rEdge reference to the edge of interest
* @param rIntersectionPoint average intersection point at the edge
* @return calculated relative positions of the intersection point along the edge from node zero
*/
double ConvertIntersectionPointToEdgeRatio(
const Geometry<Node<3> >& rEdge,
const array_1d<double,3>& rIntersectionPoint);
/**
* @brief Checks whether the edges of an element, which are cut, all share one node
* @param rEdge reference to the edge of interest
* @param rEdgeRatio relative positions of the intersection point along the edge from node zero
* @return rIntersectionPoint calculated average intersection point at the edge
*/
array_1d<double,3> ConvertEdgeRatioToIntersectionPoint(
const Geometry<Node<3> >& rEdge,
const double& rEdgeRatio);
/**
* @brief Checks whether the edges of an element, which are cut, all share one node
* @param rElement reference to the element of interest
* @param rEdgesContainer reference to the array containing the edges of the element of interest
* @param rCutEdgesRatioVector array that stores the relative positions from node zero of the average intersection points
* @return boolean true if cut edges share one node
*/
bool CheckIfCutEdgesShareNode(
const Element& rElement,
const Element::GeometryType::GeometriesArrayType& rEdgesContainer,
const array_1d<double,mNumEdges>& rCutEdgesRatioVector) const;
/**
* @brief Computes the value of any embedded variable
* For a given array variable in the skin mesh, this method calculates the value
* of such variable in the embedded mesh. This is done in each element of the volume
* mesh by computing the average value of all the edges intersections. This value
* is averaged again according to the number of intersected edges.
* @tparam TVarType variable type
* @param rVariable origin variable in the skin mesh
* @param rEmbeddedVariable elemental variable in the volume mesh to be computed
*/
template<class TVarType>
void CalculateEmbeddedVariableFromSkinSpecialization(
const Variable<TVarType> &rVariable,
const Variable<TVarType> &rEmbeddedVariable)
{
const auto &r_int_obj_vect= this->GetIntersections();
const int n_elems = mrVolumePart.NumberOfElements();
KRATOS_ERROR_IF((mrSkinPart.NodesBegin())->SolutionStepsDataHas(rVariable) == false)
<< "Skin model part solution step data missing variable: " << rVariable << std::endl;
// Initialize embedded variable value
VariableUtils().SetNonHistoricalVariableToZero(rEmbeddedVariable, mrVolumePart.Elements());
// Compute the embedded variable value for each element
#pragma omp parallel for schedule(dynamic)
for (int i_elem = 0; i_elem < n_elems; ++i_elem) {
// Check if the current element has intersecting entities
if (r_int_obj_vect[i_elem].size() != 0) {
// Initialize the element values
unsigned int n_int_edges = 0;
auto it_elem = mrVolumePart.ElementsBegin() + i_elem;
auto &r_geom = it_elem->GetGeometry();
const auto edges = r_geom.GenerateEdges();
// Loop the element of interest edges
for (unsigned int i_edge = 0; i_edge < r_geom.EdgesNumber(); ++i_edge) {
// Initialize edge values
unsigned int n_int_obj = 0;
TVarType i_edge_val = rEmbeddedVariable.Zero();
// Check the edge intersection against all the candidates
for (auto &r_int_obj : r_int_obj_vect[i_elem]) {
Point intersection_point;
const int is_intersected = this->ComputeEdgeIntersection(
r_int_obj.GetGeometry(),
edges[i_edge][0],
edges[i_edge][1],
intersection_point);
// Compute the variable value in the intersection point
if (is_intersected == 1) {
n_int_obj++;
array_1d<double,3> local_coords;
r_int_obj.GetGeometry().PointLocalCoordinates(local_coords, intersection_point);
Vector int_obj_N;
r_int_obj.GetGeometry().ShapeFunctionsValues(int_obj_N, local_coords);
for (unsigned int i_node = 0; i_node < r_int_obj.GetGeometry().PointsNumber(); ++i_node) {
i_edge_val += r_int_obj.GetGeometry()[i_node].FastGetSolutionStepValue(rVariable) * int_obj_N[i_node];
}
}
}
// Check if the edge is intersected
if (n_int_obj != 0) {
// Update the element intersected edges counter
n_int_edges++;
// Add the average edge value (there might exist cases in where
// more than one geometry intersects the edge of interest).
it_elem->GetValue(rEmbeddedVariable) += i_edge_val / n_int_obj;
}
}
// Average between all the intersected edges
if (n_int_edges != 0) {
it_elem->GetValue(rEmbeddedVariable) /= n_int_edges;
}
}
}
};
/**
* @brief Set the TO_SPLIT Kratos flag
* This function sets the TO_SPLIT flag in the provided element according to the ELEMENTAL_DISTANCES values
* Note that the zero distance case is avoided by checking the positiveness and negativeness of the nodal values
* @param rElement Element to set the TO_SPLIT flag
* @param ZeroTolerance Tolerance to check the zero distance values
*/
void SetToSplitFlag(
Element& rElement,
const double ZeroTolerance);
/**
* @brief Checks the elemental edges distances if zero values of the distance
* are detected. This ensures that the elementes detected as incised and intersected
* are consistent with the zero-correction applied by the process.
*/
void CheckAndCorrectEdgeDistances();
/**
* @brief Creates the global pointer communicator that contains all neighbours elements. In MPI, this
* allows to get information from neighbours elements that are not in the same partition.
*/
GlobalPointerCommunicator<Element>::Pointer CreatePointerCommunicator();
///@}
}; // Class CalculateDiscontinuousDistanceToSkinProcess
///@}
///@name Input and output
///@{
/// input stream function
inline std::istream& operator >> (
std::istream& rIStream,
CalculateDiscontinuousDistanceToSkinProcess<>& rThis);
/// output stream function
inline std::ostream& operator << (
std::ostream& rOStream,
const CalculateDiscontinuousDistanceToSkinProcess<>& rThis)
{
rThis.PrintInfo(rOStream);
rOStream << std::endl;
rThis.PrintData(rOStream);
return rOStream;
}
///@}
///@} addtogroup block
} // namespace Kratos.
#endif // KRATOS_CALCULATE_DISCONTINUOUS_DISTANCE_TO_SKIN_PROCESS_H_INCLUDED defined
|
GB_unop__ainv_bool_bool.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__ainv_bool_bool)
// op(A') function: GB (_unop_tran__ainv_bool_bool)
// C type: bool
// A type: bool
// cast: bool cij = aij
// unaryop: cij = aij
#define GB_ATYPE \
bool
#define GB_CTYPE \
bool
// 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) \
bool z = aij ;
// cij = op (aij)
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
bool aij = Ax [pA] ; \
/* Cx [pC] = op (cast (aij)) */ \
bool z = aij ; \
Cx [pC] = z ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_AINV || GxB_NO_BOOL)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_apply__ainv_bool_bool)
(
bool *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 ;
if (Ab == NULL)
{
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
bool aij = Ax [p] ;
bool z = aij ;
Cx [p] = z ;
}
}
else
{
// bitmap case, no transpose; A->b already memcpy'd into C->b
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!Ab [p]) continue ;
bool aij = Ax [p] ;
bool z = aij ;
Cx [p] = z ;
}
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_tran__ainv_bool_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
|
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 1999-2013 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/resource_.h"
#include "magick/transform.h"
#include "magick/signature-private.h"
#include "magick/token.h"
#include "magick/utility.h"
#include "magick/option.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 AcquireVirtualCacheView() 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=AcquireVirtualCacheView(resample_filter->image,exception);
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 Proper?
If and that area a simple solid color - then simply return that color!
This saves a lot of calculation when resampling outside the bounds of
the source image.
However it probably should be expanded to image bounds plus the filters
scaled support size.
*/
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-1.0
|| v0 + resample_filter->Vlimit < 0.0
|| v0 - resample_filter->Vlimit > (double) resample_filter->image->rows-1.0
)
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-1.0 )
|| ( u0 - resample_filter->Ulimit > (double) resample_filter->image->columns-1.0
&& v0 + resample_filter->Vlimit < 0.0 )
|| ( u0 - resample_filter->Ulimit > (double) resample_filter->image->columns-1.0
&& v0 - resample_filter->Vlimit > (double) resample_filter->image->rows-1.0 )
)
hit++;
break;
case HorizontalTileVirtualPixelMethod:
if ( v0 + resample_filter->Vlimit < 0.0
|| v0 - resample_filter->Vlimit > (double) resample_filter->image->rows-1.0
)
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-1.0
)
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+31.0 )
|| ( u0 - resample_filter->Ulimit > (double) resample_filter->image->columns+31.0
&& v0 + resample_filter->Vlimit < -32.0 )
|| ( u0 - resample_filter->Ulimit > (double) resample_filter->image->columns+31.0
&& v0 - resample_filter->Vlimit > (double) resample_filter->image->rows+31.0 )
)
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 ) {
/* The area being resampled is simply a solid color
* just return a single lookup color.
*
* Should this return the users requested interpolated color?
*/
status=InterpolateMagickPixelPacket(resample_filter->image,
resample_filter->view,IntegerInterpolatePixel,u0,v0,pixel,
resample_filter->exception);
return(status);
}
/*
When 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 a better 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=AcquireVirtualCacheView(average_image,
&average_image->exception);
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 a alpha blend of the image's average pixel
color and the current background color */
/* image's average pixel color */
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;
/* background color */
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;
/* alpha blend */
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; /* 50% blend */
}
}
*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++ ) {
weight = 0;
#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 || divisor_m <= MagickEpsilon || divisor_c <= MagickEpsilon ) {
/* not enough pixels, or bad weighting 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);
/*
* In exact arithmetic, discriminant can't be negative. In floating
* point, it can, because of the bad conditioning of SVD
* decompositions done through the associated normal matrix.
*/
const double sqrt_discriminant =
sqrt(discriminant > 0.0 ? discriminant : 0.0);
/*
* 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",
(double) 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)
Simplier to just multiply it by the support twice!
*/
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 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;
/* Default cylindrical filter is a Cubic Keys filter */
if ( filter == UndefinedFilter )
resample_filter->filter = RobidouxFilter;
if ( resample_filter->filter == PointFilter ) {
resample_filter->do_interpolate = MagickTrue;
return; /* EWA turned off - nothing more to do */
}
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 Interpolated 'Point' filter");
resample_filter->filter = PointFilter;
resample_filter->do_interpolate = MagickTrue;
return; /* EWA turned off - nothing more to do */
}
/* 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. Basically it generates
a Gaussian bell curve, with sigma = 0.5 if the support is 2.0
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 it comes from reference code provided by Fred Weinhaus.
*/
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;
#endif
#if FILTER_LUT
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp single
#endif
{
if (IsMagickTrue(GetImageArtifact(resample_filter->image,
"resample:verbose")) )
{
register int
Q;
double
r_scale;
/* Debug output of the filter weighting LUT
Gnuplot the LUT data, the x scale index has been adjusted
plot [0:2][-.2:1] "lut.dat" with lines
The filter values should be normalized for comparision
*/
printf("#\n");
printf("# Resampling Filter LUT (%d values) for '%s' filter\n",
WLUT_WIDTH, CommandOptionToMnemonic(MagickFilterOptions,
resample_filter->filter) );
printf("#\n");
printf("# Note: values in table are using a squared radius lookup.\n");
printf("# As such its distribution is not uniform.\n");
printf("#\n");
printf("# The X value is the support distance for the Y weight\n");
printf("# so you can use gnuplot to plot this cylindrical filter\n");
printf("# plot [0:2][-.2:1] \"lut.dat\" with lines\n");
printf("#\n");
/* 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++)
printf("%8.*g %.*g\n",
GetMagickPrecision(),sqrt((double)Q)*r_scale,
GetMagickPrecision(),resample_filter->filter_lut[Q] );
printf("\n\n"); /* generate a 'break' in gnuplot if multiple outputs */
}
/* 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);
}
|
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] = 24;
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);
}
}
}
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;
}
|
main.c | # include <stdio.h>
# include <stdlib.h>
# include <pthread.h>
# include <omp.h>
#define NUM_THREADS 4
#define VALUE 4000000000
#define PAD 8
double global = 0.0;
/*
void* calPi(void *x)
{
int tam;
int ini;
int end;
double local = 0.0;
tam = VALUE/ NUM_THREADS;
ini = (long)x * tam;
end = (((long)x + 1) * tam);
printf("inicio: %d",ini);
printf("fin: %d",end);
int i;
for(i = ini; i<end; i++){
int denom = 2*i+1;
local += (i%2 ? -1 : 1) * (1.0/denom);
}
global += local;
}
*/
int main(void)
{
/*
pthread_t threads[NUM_THREADS];
long k;
int rev;
*/
#pragma omp parallel num_threads(NUM_THREADS)
{
int ID = omp_get_thread_num();
double sum [NUM_THREADS][PAD];
int tam;
int ini;
int end;
double local = 0.0;
tam = VALUE/ NUM_THREADS;
ini = (long)ID * tam;
end = (((long)ID + 1) * tam);
int i;
int j = 0;
int k = 0;
for(i = ini; i<end; i++){
int denom = 2*i+1;
if (i%2 == 0){
sum[j][k] =
local += 1 * (1.0/denom);
}else{
sum[j][k] =
local += -1 * (1.0/denom);
}
// local += (i%2 ? -1 : 1) * (1.0/denom);
}
global += local;
}
/*
//CREATE THREADS DEPENDING ON THE QUANTITY
for(k = 0; k < NUM_THREADS; k++){
rev = pthread_create(&threads[k], NULL, calPi, (void *)k);
if(rev){
printf("ERROR: return code %d\n", rev);
}
}
// JOIN THREADS
for(k = 0; k < NUM_THREADS; k++){
rev = pthread_join(threads[k], NULL);
if(rev){
printf("ERROR: return code %d\n", rev);
exit(-1);
}
}
*/
printf("Pi %f\n", global*4);
exit(0);
}
|
test.c |
#include <stdio.h>
#include <omp.h>
#include "../utilities/check.h"
#include "../utilities/utilities.h"
#define TRIALS (1)
#define N (1024*3)
#define INIT() INIT_LOOP(N, {C[i] = 1; D[i] = i; E[i] = -i;})
#define ZERO(X) ZERO_ARRAY(N, X)
int main(void) {
check_offloading();
int A[N], B[N], C[N], D[N], E[N];
int S[N];
INIT();
long cpuExec = 0;
#pragma omp target map(tofrom: cpuExec)
{
cpuExec = omp_is_initial_device();
}
int max_threads = 224;
//
// Test: lastprivate clause on omp for.
//
for (int t = 0; t <= max_threads; t++) {
int threads = t;
TEST({
S[0] = 0;
double q0; double q1; double q2; double q3; double q4;
double q5; double q6; double q7; double q8; double q9;
q0 = q1 = q2 = q3 = q4 = q5 = q6 = q7 = q8 = q9 = 0;
_Pragma("omp parallel if(threads > 1) num_threads(threads)")
{
_Pragma("omp for lastprivate(conditional: q0)")
for (int i = 0; i < N; i++) {
if (D[i] % 10 == 0)
q0 = C[i] + D[i];
A[i] += q0;
}
_Pragma("omp for schedule(auto) lastprivate(conditional: q1)")
for (int i = 0; i < N; i++) {
if (D[i] % 10 == 0)
q1 = C[i] + D[i];
B[i] += q1;
}
_Pragma("omp for schedule(dynamic) lastprivate(conditional: q2)")
for (int i = 0; i < N; i++) {
if (D[i] % 10 == 0)
q2 = C[i] + D[i];
A[i] += q2;
}
_Pragma("omp for schedule(guided) lastprivate(conditional: q3)")
for (int i = 0; i < N; i++) {
if (D[i] % 10 == 0)
q3 = C[i] + D[i];
B[i] += q3;
}
_Pragma("omp for schedule(runtime) lastprivate(conditional: q4)")
for (int i = 0; i < N; i++) {
if (D[i] % 10 == 0)
q4 = C[i] + D[i];
A[i] += q4;
}
_Pragma("omp for schedule(static) lastprivate(conditional: q5)")
for (int i = 0; i < N; i++) {
if (D[i] % 10 == 0)
q5 = C[i] + D[i];
B[i] += q5;
}
_Pragma("omp for schedule(static,1) lastprivate(conditional: q6)")
for (int i = 0; i < N; i++) {
if (D[i] % 10 == 0)
q6 = C[i] + D[i];
A[i] += q6;
}
_Pragma("omp for schedule(static,9) lastprivate(conditional: q7)")
for (int i = 0; i < N; i++) {
if (D[i] % 10 == 0)
q7 = C[i] + D[i];
B[i] += q7;
}
_Pragma("omp for schedule(static,13) lastprivate(conditional: q8)")
for (int i = 0; i < N; i++) {
if (D[i] % 10 == 0)
q8 = C[i] + D[i];
A[i] += q8;
}
_Pragma("omp for schedule(static,30000) lastprivate(conditional: q9)")
for (int i = 0; i < N; i++) {
if (D[i] % 10 == 0)
q9 = C[i] + D[i];
B[i] += q9;
}
}
double tmp = q0 + q1 + q2 + q3 + q4 + \
q5 + q6 + q7 + q8 + q9;
S[0] = tmp;
}, VERIFY(0, 1, S[0], 30710 ));
}
return 0;
}
|
exact_rhs-brisbane.c | //-------------------------------------------------------------------------//
// //
// This benchmark is a serial C version of the NPB BT code. This C //
// version is developed by the Center for Manycore Programming at Seoul //
// National University and derived from the serial Fortran versions in //
// "NPB3.3-SER" developed by NAS. //
// //
// Permission to use, copy, distribute and modify this software for any //
// purpose with or without fee is hereby granted. This software is //
// provided "as is" without express or implied warranty. //
// //
// Information on NPB 3.3, including the technical report, the original //
// specifications, source code, results and information on how to submit //
// new results, is available at: //
// //
// http://www.nas.nasa.gov/Software/NPB/ //
// //
// Send comments or suggestions for this C version to cmp@aces.snu.ac.kr //
// //
// Center for Manycore Programming //
// School of Computer Science and Engineering //
// Seoul National University //
// Seoul 151-744, Korea //
// //
// E-mail: cmp@aces.snu.ac.kr //
// //
//-------------------------------------------------------------------------//
//-------------------------------------------------------------------------//
// Authors: Sangmin Seo, Jungwon Kim, Jun Lee, Jeongho Nah, Gangwon Jo, //
// and Jaejin Lee //
//-------------------------------------------------------------------------//
#include "header-brisbane.h"
//---------------------------------------------------------------------
// compute the right hand side based on exact solution
//---------------------------------------------------------------------
void exact_rhs()
{
double dtemp[5], xi, eta, zeta, dtpp;
int m, i, j, k, ip1, im1, jp1, jm1, km1, kp1;
//---------------------------------------------------------------------
// initialize
//---------------------------------------------------------------------
for (k = 0; k <= grid_points[2]-1; k++) {
for (j = 0; j <= grid_points[1]-1; j++) {
for (i = 0; i <= grid_points[0]-1; i++) {
for (m = 0; m < 5; m++) {
forcing[k][j][i][m] = 0.0;
}
}
}
}
//---------------------------------------------------------------------
// xi-direction flux differences
//---------------------------------------------------------------------
for (k = 1; k <= grid_points[2]-2; k++) {
zeta = (double)(k) * dnzm1;
for (j = 1; j <= grid_points[1]-2; j++) {
eta = (double)(j) * dnym1;
for (i = 0; i <= grid_points[0]-1; i++) {
xi = (double)(i) * dnxm1;
exact_solution(xi, eta, zeta, dtemp);
for (m = 0; m < 5; m++) {
ue[i][m] = dtemp[m];
}
dtpp = 1.0 / dtemp[0];
for (m = 1; m < 5; m++) {
buf[i][m] = dtpp * dtemp[m];
}
cuf[i] = buf[i][1] * buf[i][1];
buf[i][0] = cuf[i] + buf[i][2] * buf[i][2] + buf[i][3] * buf[i][3];
q[i] = 0.5*(buf[i][1]*ue[i][1] + buf[i][2]*ue[i][2] +
buf[i][3]*ue[i][3]);
}
for (i = 1; i <= grid_points[0]-2; i++) {
im1 = i-1;
ip1 = i+1;
forcing[k][j][i][0] = forcing[k][j][i][0] -
tx2*( ue[ip1][1]-ue[im1][1] )+
dx1tx1*(ue[ip1][0]-2.0*ue[i][0]+ue[im1][0]);
forcing[k][j][i][1] = forcing[k][j][i][1] - tx2 * (
(ue[ip1][1]*buf[ip1][1]+c2*(ue[ip1][4]-q[ip1]))-
(ue[im1][1]*buf[im1][1]+c2*(ue[im1][4]-q[im1])))+
xxcon1*(buf[ip1][1]-2.0*buf[i][1]+buf[im1][1])+
dx2tx1*( ue[ip1][1]-2.0* ue[i][1]+ue[im1][1]);
forcing[k][j][i][2] = forcing[k][j][i][2] - tx2 * (
ue[ip1][2]*buf[ip1][1]-ue[im1][2]*buf[im1][1])+
xxcon2*(buf[ip1][2]-2.0*buf[i][2]+buf[im1][2])+
dx3tx1*( ue[ip1][2]-2.0*ue[i][2] +ue[im1][2]);
forcing[k][j][i][3] = forcing[k][j][i][3] - tx2*(
ue[ip1][3]*buf[ip1][1]-ue[im1][3]*buf[im1][1])+
xxcon2*(buf[ip1][3]-2.0*buf[i][3]+buf[im1][3])+
dx4tx1*( ue[ip1][3]-2.0* ue[i][3]+ ue[im1][3]);
forcing[k][j][i][4] = forcing[k][j][i][4] - tx2*(
buf[ip1][1]*(c1*ue[ip1][4]-c2*q[ip1])-
buf[im1][1]*(c1*ue[im1][4]-c2*q[im1]))+
0.5*xxcon3*(buf[ip1][0]-2.0*buf[i][0]+
buf[im1][0])+
xxcon4*(cuf[ip1]-2.0*cuf[i]+cuf[im1])+
xxcon5*(buf[ip1][4]-2.0*buf[i][4]+buf[im1][4])+
dx5tx1*( ue[ip1][4]-2.0* ue[i][4]+ ue[im1][4]);
}
//---------------------------------------------------------------------
// Fourth-order dissipation
//---------------------------------------------------------------------
for (m = 0; m < 5; m++) {
i = 1;
forcing[k][j][i][m] = forcing[k][j][i][m] - dssp *
(5.0*ue[i][m] - 4.0*ue[i+1][m] +ue[i+2][m]);
i = 2;
forcing[k][j][i][m] = forcing[k][j][i][m] - dssp *
(-4.0*ue[i-1][m] + 6.0*ue[i][m] -
4.0*ue[i+1][m] + ue[i+2][m]);
}
for (i = 3; i <= grid_points[0]-4; i++) {
for (m = 0; m < 5; m++) {
forcing[k][j][i][m] = forcing[k][j][i][m] - dssp*
(ue[i-2][m] - 4.0*ue[i-1][m] +
6.0*ue[i][m] - 4.0*ue[i+1][m] + ue[i+2][m]);
}
}
for (m = 0; m < 5; m++) {
i = grid_points[0]-3;
forcing[k][j][i][m] = forcing[k][j][i][m] - dssp *
(ue[i-2][m] - 4.0*ue[i-1][m] +
6.0*ue[i][m] - 4.0*ue[i+1][m]);
i = grid_points[0]-2;
forcing[k][j][i][m] = forcing[k][j][i][m] - dssp *
(ue[i-2][m] - 4.0*ue[i-1][m] + 5.0*ue[i][m]);
}
}
}
//---------------------------------------------------------------------
// eta-direction flux differences
//---------------------------------------------------------------------
for (k = 1; k <= grid_points[2]-2; k++) {
zeta = (double)(k) * dnzm1;
for (i = 1; i <= grid_points[0]-2; i++) {
xi = (double)(i) * dnxm1;
for (j = 0; j <= grid_points[1]-1; j++) {
eta = (double)(j) * dnym1;
exact_solution(xi, eta, zeta, dtemp);
for (m = 0; m < 5; m++) {
ue[j][m] = dtemp[m];
}
dtpp = 1.0/dtemp[0];
for (m = 1; m < 5; m++) {
buf[j][m] = dtpp * dtemp[m];
}
cuf[j] = buf[j][2] * buf[j][2];
buf[j][0] = cuf[j] + buf[j][1] * buf[j][1] + buf[j][3] * buf[j][3];
q[j] = 0.5*(buf[j][1]*ue[j][1] + buf[j][2]*ue[j][2] +
buf[j][3]*ue[j][3]);
}
for (j = 1; j <= grid_points[1]-2; j++) {
jm1 = j-1;
jp1 = j+1;
forcing[k][j][i][0] = forcing[k][j][i][0] -
ty2*( ue[jp1][2]-ue[jm1][2] )+
dy1ty1*(ue[jp1][0]-2.0*ue[j][0]+ue[jm1][0]);
forcing[k][j][i][1] = forcing[k][j][i][1] - ty2*(
ue[jp1][1]*buf[jp1][2]-ue[jm1][1]*buf[jm1][2])+
yycon2*(buf[jp1][1]-2.0*buf[j][1]+buf[jm1][1])+
dy2ty1*( ue[jp1][1]-2.0* ue[j][1]+ ue[jm1][1]);
forcing[k][j][i][2] = forcing[k][j][i][2] - ty2*(
(ue[jp1][2]*buf[jp1][2]+c2*(ue[jp1][4]-q[jp1]))-
(ue[jm1][2]*buf[jm1][2]+c2*(ue[jm1][4]-q[jm1])))+
yycon1*(buf[jp1][2]-2.0*buf[j][2]+buf[jm1][2])+
dy3ty1*( ue[jp1][2]-2.0*ue[j][2] +ue[jm1][2]);
forcing[k][j][i][3] = forcing[k][j][i][3] - ty2*(
ue[jp1][3]*buf[jp1][2]-ue[jm1][3]*buf[jm1][2])+
yycon2*(buf[jp1][3]-2.0*buf[j][3]+buf[jm1][3])+
dy4ty1*( ue[jp1][3]-2.0*ue[j][3]+ ue[jm1][3]);
forcing[k][j][i][4] = forcing[k][j][i][4] - ty2*(
buf[jp1][2]*(c1*ue[jp1][4]-c2*q[jp1])-
buf[jm1][2]*(c1*ue[jm1][4]-c2*q[jm1]))+
0.5*yycon3*(buf[jp1][0]-2.0*buf[j][0]+
buf[jm1][0])+
yycon4*(cuf[jp1]-2.0*cuf[j]+cuf[jm1])+
yycon5*(buf[jp1][4]-2.0*buf[j][4]+buf[jm1][4])+
dy5ty1*(ue[jp1][4]-2.0*ue[j][4]+ue[jm1][4]);
}
//---------------------------------------------------------------------
// Fourth-order dissipation
//---------------------------------------------------------------------
for (m = 0; m < 5; m++) {
j = 1;
forcing[k][j][i][m] = forcing[k][j][i][m] - dssp *
(5.0*ue[j][m] - 4.0*ue[j+1][m] +ue[j+2][m]);
j = 2;
forcing[k][j][i][m] = forcing[k][j][i][m] - dssp *
(-4.0*ue[j-1][m] + 6.0*ue[j][m] -
4.0*ue[j+1][m] + ue[j+2][m]);
}
for (j = 3; j <= grid_points[1]-4; j++) {
for (m = 0; m < 5; m++) {
forcing[k][j][i][m] = forcing[k][j][i][m] - dssp*
(ue[j-2][m] - 4.0*ue[j-1][m] +
6.0*ue[j][m] - 4.0*ue[j+1][m] + ue[j+2][m]);
}
}
for (m = 0; m < 5; m++) {
j = grid_points[1]-3;
forcing[k][j][i][m] = forcing[k][j][i][m] - dssp *
(ue[j-2][m] - 4.0*ue[j-1][m] +
6.0*ue[j][m] - 4.0*ue[j+1][m]);
j = grid_points[1]-2;
forcing[k][j][i][m] = forcing[k][j][i][m] - dssp *
(ue[j-2][m] - 4.0*ue[j-1][m] + 5.0*ue[j][m]);
}
}
}
//---------------------------------------------------------------------
// zeta-direction flux differences
//---------------------------------------------------------------------
for (j = 1; j <= grid_points[1]-2; j++) {
eta = (double)(j) * dnym1;
for (i = 1; i <= grid_points[0]-2; i++) {
xi = (double)(i) * dnxm1;
for (k = 0; k <= grid_points[2]-1; k++) {
zeta = (double)(k) * dnzm1;
exact_solution(xi, eta, zeta, dtemp);
for (m = 0; m < 5; m++) {
ue[k][m] = dtemp[m];
}
dtpp = 1.0/dtemp[0];
for (m = 1; m < 5; m++) {
buf[k][m] = dtpp * dtemp[m];
}
cuf[k] = buf[k][3] * buf[k][3];
buf[k][0] = cuf[k] + buf[k][1] * buf[k][1] + buf[k][2] * buf[k][2];
q[k] = 0.5*(buf[k][1]*ue[k][1] + buf[k][2]*ue[k][2] +
buf[k][3]*ue[k][3]);
}
for (k = 1; k <= grid_points[2]-2; k++) {
km1 = k-1;
kp1 = k+1;
forcing[k][j][i][0] = forcing[k][j][i][0] -
tz2*( ue[kp1][3]-ue[km1][3] )+
dz1tz1*(ue[kp1][0]-2.0*ue[k][0]+ue[km1][0]);
forcing[k][j][i][1] = forcing[k][j][i][1] - tz2 * (
ue[kp1][1]*buf[kp1][3]-ue[km1][1]*buf[km1][3])+
zzcon2*(buf[kp1][1]-2.0*buf[k][1]+buf[km1][1])+
dz2tz1*( ue[kp1][1]-2.0* ue[k][1]+ ue[km1][1]);
forcing[k][j][i][2] = forcing[k][j][i][2] - tz2 * (
ue[kp1][2]*buf[kp1][3]-ue[km1][2]*buf[km1][3])+
zzcon2*(buf[kp1][2]-2.0*buf[k][2]+buf[km1][2])+
dz3tz1*(ue[kp1][2]-2.0*ue[k][2]+ue[km1][2]);
forcing[k][j][i][3] = forcing[k][j][i][3] - tz2 * (
(ue[kp1][3]*buf[kp1][3]+c2*(ue[kp1][4]-q[kp1]))-
(ue[km1][3]*buf[km1][3]+c2*(ue[km1][4]-q[km1])))+
zzcon1*(buf[kp1][3]-2.0*buf[k][3]+buf[km1][3])+
dz4tz1*( ue[kp1][3]-2.0*ue[k][3] +ue[km1][3]);
forcing[k][j][i][4] = forcing[k][j][i][4] - tz2 * (
buf[kp1][3]*(c1*ue[kp1][4]-c2*q[kp1])-
buf[km1][3]*(c1*ue[km1][4]-c2*q[km1]))+
0.5*zzcon3*(buf[kp1][0]-2.0*buf[k][0]
+buf[km1][0])+
zzcon4*(cuf[kp1]-2.0*cuf[k]+cuf[km1])+
zzcon5*(buf[kp1][4]-2.0*buf[k][4]+buf[km1][4])+
dz5tz1*( ue[kp1][4]-2.0*ue[k][4]+ ue[km1][4]);
}
//---------------------------------------------------------------------
// Fourth-order dissipation
//---------------------------------------------------------------------
for (m = 0; m < 5; m++) {
k = 1;
forcing[k][j][i][m] = forcing[k][j][i][m] - dssp *
(5.0*ue[k][m] - 4.0*ue[k+1][m] +ue[k+2][m]);
k = 2;
forcing[k][j][i][m] = forcing[k][j][i][m] - dssp *
(-4.0*ue[k-1][m] + 6.0*ue[k][m] -
4.0*ue[k+1][m] + ue[k+2][m]);
}
for (k = 3; k <= grid_points[2]-4; k++) {
for (m = 0; m < 5; m++) {
forcing[k][j][i][m] = forcing[k][j][i][m] - dssp*
(ue[k-2][m] - 4.0*ue[k-1][m] +
6.0*ue[k][m] - 4.0*ue[k+1][m] + ue[k+2][m]);
}
}
for (m = 0; m < 5; m++) {
k = grid_points[2]-3;
forcing[k][j][i][m] = forcing[k][j][i][m] - dssp *
(ue[k-2][m] - 4.0*ue[k-1][m] +
6.0*ue[k][m] - 4.0*ue[k+1][m]);
k = grid_points[2]-2;
forcing[k][j][i][m] = forcing[k][j][i][m] - dssp *
(ue[k-2][m] - 4.0*ue[k-1][m] + 5.0*ue[k][m]);
}
}
}
//---------------------------------------------------------------------
// now change the sign of the forcing function,
//---------------------------------------------------------------------
for (k = 1; k <= grid_points[2]-2; k++) {
for (j = 1; j <= grid_points[1]-2; j++) {
for (i = 1; i <= grid_points[0]-2; i++) {
for (m = 0; m < 5; m++) {
forcing[k][j][i][m] = -1.0 * forcing[k][j][i][m];
}
}
}
}
#pragma omp target update to(forcing)
brisbane_task task0;
brisbane_task_create(&task0);
brisbane_task_h2d_full(task0, mem_forcing, forcing);
brisbane_task_submit(task0, brisbane_cpu, NULL, true);
}
|
pmtv-OPENMP.c | // Compilar con -O2 y -fopenmp
#include <stdlib.h>
#include <stdio.h>
#include <omp.h>
int main(int argc, char** argv){
int i, j;
double t1, t2, total;
//Leer argumento de entrada (no de componentes del vector)
if (argc<2){
printf("Falta tamaño de matriz y vector\n");
exit(-1);
}
unsigned int N = atoi(argv[1]); // Máximo N =2^32-1=4294967295 (sizeof(unsigned int) = 4 B)
int num_threads = atoi(argv[2]); //Número de threads
int modifier;
omp_sched_t kind;
double *v1, *v2, **M;
v1 = (double*) malloc(N*sizeof(double));// malloc necesita el tamaño en bytes
v2 = (double*) malloc(N*sizeof(double)); //si no hay espacio suficiente malloc devuelve NULL
M = (double**) malloc(N*sizeof(double *));
if ( (v1==NULL) || (v2==NULL) || (M==NULL) ){
printf("Error en la reserva de espacio para los vectores\n");
exit(-2);
}
for (i=0; i<N; i++){
M[i] = (double*) malloc(N*sizeof(double));
if ( M[i]==NULL ){
printf("Error en la reserva de espacio para los vectores\n");
exit(-2);
}
}
//A partir de aqui se pueden acceder las componentes de la matriz como M[i][j]
//Inicializar matriz y vectores
for(i = 0; i< N; i++)
{
v1[i] = 2;
v2[i] = 0;
for(j = i; j < N; j++ )
{
M[i][j] = 2;
}
}
#pragma omp parallel
{
#pragma omp single
{
omp_get_schedule(&kind, &modifier);
printf("omp_get_schedule: kind %d, modifier %d \n",kind,modifier);
omp_set_num_threads(num_threads);
}
//Medida de tiempo
#pragma omp single
{
t1 = omp_get_wtime();
}
#pragma omp for private(j) schedule(runtime)
//Calcular producto de matriz por vector v2 = M · v1
for(i = 0; i<N;i++)
{
for(j=i; j<N;j++)
{
v2[i] += M[i][j] * v1[j];
}
}
#pragma omp single
{
//Medida de tiempo
t2 = omp_get_wtime();
total = t2 - t1;
}
}
//Imprimir el resultado y el tiempo de ejecución
printf("Tiempo(seg.):%11.9f\t / Tamaño:%u\t/ V2[0]=%8.6f V2[%d]=%8.6f\n", total,N,v2[0],N-1,v2[N-1]);
free(v1); // libera el espacio reservado para v1
free(v2); // libera el espacio reservado para v2
for (i=0; i<N; i++)
free(M[i]);
free(M);
return 0;
}
|
nesting-fail-1.c | extern int i;
#pragma acc declare create(i)
void
f_omp (void)
{
#pragma omp parallel
{
#pragma acc parallel /* { dg-error "OpenACC construct inside of non-OpenACC region" } */
;
#pragma acc kernels /* { dg-error "OpenACC construct inside of non-OpenACC region" } */
;
#pragma acc data /* { dg-error "OpenACC construct inside of non-OpenACC region" } */
;
#pragma acc update host(i) /* { dg-error "OpenACC construct inside of non-OpenACC region" } */
#pragma acc enter data copyin(i) /* { dg-error "OpenACC construct inside of non-OpenACC region" } */
#pragma acc exit data delete(i) /* { dg-error "OpenACC construct inside of non-OpenACC region" } */
#pragma acc loop /* { dg-error "loop directive must be associated with an OpenACC compute region" } */
for (i = 0; i < 2; ++i)
;
}
#pragma omp for
for (i = 0; i < 3; i++)
{
#pragma acc parallel /* { dg-error "OpenACC construct inside of non-OpenACC region" } */
;
#pragma acc kernels /* { dg-error "OpenACC construct inside of non-OpenACC region" } */
;
#pragma acc data /* { dg-error "OpenACC construct inside of non-OpenACC region" } */
;
#pragma acc update host(i) /* { dg-error "OpenACC construct inside of non-OpenACC region" } */
#pragma acc enter data copyin(i) /* { dg-error "OpenACC construct inside of non-OpenACC region" } */
#pragma acc exit data delete(i) /* { dg-error "OpenACC construct inside of non-OpenACC region" } */
#pragma acc loop /* { dg-error "loop directive must be associated with an OpenACC compute region" } */
for (i = 0; i < 2; ++i)
;
}
#pragma omp sections
{
{
#pragma acc parallel /* { dg-error "OpenACC construct inside of non-OpenACC region" } */
;
}
#pragma omp section
{
#pragma acc kernels /* { dg-error "OpenACC construct inside of non-OpenACC region" } */
;
}
#pragma omp section
{
#pragma acc data /* { dg-error "OpenACC construct inside of non-OpenACC region" } */
;
}
#pragma omp section
{
#pragma acc update host(i) /* { dg-error "OpenACC construct inside of non-OpenACC region" } */
}
#pragma omp section
{
#pragma acc enter data copyin(i) /* { dg-error "OpenACC construct inside of non-OpenACC region" } */
}
#pragma omp section
{
#pragma acc exit data delete(i) /* { dg-error "OpenACC construct inside of non-OpenACC region" } */
}
#pragma omp section
{
#pragma acc loop /* { dg-error "loop directive must be associated with an OpenACC compute region" } */
for (i = 0; i < 2; ++i)
;
}
}
#pragma omp single
{
#pragma acc parallel /* { dg-error "OpenACC construct inside of non-OpenACC region" } */
;
#pragma acc kernels /* { dg-error "OpenACC construct inside of non-OpenACC region" } */
;
#pragma acc data /* { dg-error "OpenACC construct inside of non-OpenACC region" } */
;
#pragma acc update host(i) /* { dg-error "OpenACC construct inside of non-OpenACC region" } */
#pragma acc enter data copyin(i) /* { dg-error "OpenACC construct inside of non-OpenACC region" } */
#pragma acc exit data delete(i) /* { dg-error "OpenACC construct inside of non-OpenACC region" } */
#pragma acc loop /* { dg-error "loop directive must be associated with an OpenACC compute region" } */
for (i = 0; i < 2; ++i)
;
}
#pragma omp task
{
#pragma acc parallel /* { dg-error "OpenACC construct inside of non-OpenACC region" } */
;
#pragma acc kernels /* { dg-error "OpenACC construct inside of non-OpenACC region" } */
;
#pragma acc data /* { dg-error "OpenACC construct inside of non-OpenACC region" } */
;
#pragma acc update host(i) /* { dg-error "OpenACC construct inside of non-OpenACC region" } */
#pragma acc enter data copyin(i) /* { dg-error "OpenACC construct inside of non-OpenACC region" } */
#pragma acc exit data delete(i) /* { dg-error "OpenACC construct inside of non-OpenACC region" } */
#pragma acc loop /* { dg-error "loop directive must be associated with an OpenACC compute region" } */
for (i = 0; i < 2; ++i)
;
}
#pragma omp master
{
#pragma acc parallel /* { dg-error "OpenACC construct inside of non-OpenACC region" } */
;
#pragma acc kernels /* { dg-error "OpenACC construct inside of non-OpenACC region" } */
;
#pragma acc data /* { dg-error "OpenACC construct inside of non-OpenACC region" } */
;
#pragma acc update host(i) /* { dg-error "OpenACC construct inside of non-OpenACC region" } */
#pragma acc enter data copyin(i) /* { dg-error "OpenACC construct inside of non-OpenACC region" } */
#pragma acc exit data delete(i) /* { dg-error "OpenACC construct inside of non-OpenACC region" } */
#pragma acc loop /* { dg-error "loop directive must be associated with an OpenACC compute region" } */
for (i = 0; i < 2; ++i)
;
}
#pragma omp critical
{
#pragma acc parallel /* { dg-error "OpenACC construct inside of non-OpenACC region" } */
;
#pragma acc kernels /* { dg-error "OpenACC construct inside of non-OpenACC region" } */
;
#pragma acc data /* { dg-error "OpenACC construct inside of non-OpenACC region" } */
;
#pragma acc update host(i) /* { dg-error "OpenACC construct inside of non-OpenACC region" } */
#pragma acc enter data copyin(i) /* { dg-error "OpenACC construct inside of non-OpenACC region" } */
#pragma acc exit data delete(i) /* { dg-error "OpenACC construct inside of non-OpenACC region" } */
#pragma acc loop /* { dg-error "loop directive must be associated with an OpenACC compute region" } */
for (i = 0; i < 2; ++i)
;
}
#pragma omp ordered
{
#pragma acc parallel /* { dg-error "OpenACC construct inside of non-OpenACC region" } */
;
#pragma acc kernels /* { dg-error "OpenACC construct inside of non-OpenACC region" } */
;
#pragma acc data /* { dg-error "OpenACC construct inside of non-OpenACC region" } */
;
#pragma acc update host(i) /* { dg-error "OpenACC construct inside of non-OpenACC region" } */
#pragma acc enter data copyin(i) /* { dg-error "OpenACC construct inside of non-OpenACC region" } */
#pragma acc exit data delete(i) /* { dg-error "OpenACC construct inside of non-OpenACC region" } */
#pragma acc loop /* { dg-error "loop directive must be associated with an OpenACC compute region" } */
for (i = 0; i < 2; ++i)
;
}
#pragma omp target
{
#pragma acc parallel /* { dg-error "OpenACC .parallel. construct inside of OpenMP .target. region" } */
;
#pragma acc kernels /* { dg-error "OpenACC .kernels. construct inside of OpenMP .target. region" } */
;
#pragma acc data /* { dg-error "OpenACC .data. construct inside of OpenMP .target. region" } */
;
#pragma acc update host(i) /* { dg-error "OpenACC .update. construct inside of OpenMP .target. region" } */
#pragma acc enter data copyin(i) /* { dg-error "OpenACC .enter/exit data. construct inside of OpenMP .target. region" } */
#pragma acc exit data delete(i) /* { dg-error "OpenACC .enter/exit data. construct inside of OpenMP .target. region" } */
#pragma acc loop /* { dg-error "loop directive must be associated with an OpenACC compute region" } */
for (i = 0; i < 2; ++i)
;
}
}
void
f_acc_parallel (void)
{
#pragma acc parallel
{
#pragma omp parallel /* { dg-error "non-OpenACC construct inside of OpenACC region" } */
;
}
#pragma acc parallel
{
#pragma omp for /* { dg-error "non-OpenACC construct inside of OpenACC region" } */
for (i = 0; i < 3; i++)
;
}
#pragma acc parallel
{
#pragma omp sections /* { dg-error "non-OpenACC construct inside of OpenACC region" } */
{
;
}
}
#pragma acc parallel
{
#pragma omp single /* { dg-error "non-OpenACC construct inside of OpenACC region" } */
;
}
#pragma acc parallel
{
#pragma omp task /* { dg-error "non-OpenACC construct inside of OpenACC region" } */
;
}
#pragma acc parallel
{
#pragma omp master /* { dg-error "non-OpenACC construct inside of OpenACC region" } */
;
}
#pragma acc parallel
{
#pragma omp critical /* { dg-error "non-OpenACC construct inside of OpenACC region" } */
;
}
#pragma acc parallel
{
#pragma omp ordered /* { dg-error "non-OpenACC construct inside of OpenACC region" } */
;
}
#pragma acc parallel
{
#pragma omp target /* { dg-error "non-OpenACC construct inside of OpenACC region" } */
;
#pragma omp target data map(i) /* { dg-error "non-OpenACC construct inside of OpenACC region" } */
;
#pragma omp target update to(i) /* { dg-error "non-OpenACC construct inside of OpenACC region" } */
}
}
void
f_acc_kernels (void)
{
#pragma acc kernels
{
#pragma omp parallel /* { dg-error "non-OpenACC construct inside of OpenACC region" } */
;
}
#pragma acc kernels
{
#pragma omp for /* { dg-error "non-OpenACC construct inside of OpenACC region" } */
for (i = 0; i < 3; i++)
;
}
#pragma acc kernels
{
#pragma omp sections /* { dg-error "non-OpenACC construct inside of OpenACC region" } */
{
;
}
}
#pragma acc kernels
{
#pragma omp single /* { dg-error "non-OpenACC construct inside of OpenACC region" } */
;
}
#pragma acc kernels
{
#pragma omp task /* { dg-error "non-OpenACC construct inside of OpenACC region" } */
;
}
#pragma acc kernels
{
#pragma omp master /* { dg-error "non-OpenACC construct inside of OpenACC region" } */
;
}
#pragma acc kernels
{
#pragma omp critical /* { dg-error "non-OpenACC construct inside of OpenACC region" } */
;
}
#pragma acc kernels
{
#pragma omp ordered /* { dg-error "non-OpenACC construct inside of OpenACC region" } */
;
}
#pragma acc kernels
{
#pragma omp target /* { dg-error "non-OpenACC construct inside of OpenACC region" } */
;
#pragma omp target data map(i) /* { dg-error "non-OpenACC construct inside of OpenACC region" } */
;
#pragma omp target update to(i) /* { dg-error "non-OpenACC construct inside of OpenACC region" } */
}
}
void
f_acc_data (void)
{
#pragma acc data
{
#pragma omp parallel /* { dg-error "non-OpenACC construct inside of OpenACC region" } */
;
}
#pragma acc data
{
#pragma omp for /* { dg-error "non-OpenACC construct inside of OpenACC region" } */
for (i = 0; i < 3; i++)
;
}
#pragma acc data
{
#pragma omp sections /* { dg-error "non-OpenACC construct inside of OpenACC region" } */
{
;
}
}
#pragma acc data
{
#pragma omp single /* { dg-error "non-OpenACC construct inside of OpenACC region" } */
;
}
#pragma acc data
{
#pragma omp task /* { dg-error "non-OpenACC construct inside of OpenACC region" } */
;
}
#pragma acc data
{
#pragma omp master /* { dg-error "non-OpenACC construct inside of OpenACC region" } */
;
}
#pragma acc data
{
#pragma omp critical /* { dg-error "non-OpenACC construct inside of OpenACC region" } */
;
}
#pragma acc data
{
#pragma omp ordered /* { dg-error "non-OpenACC construct inside of OpenACC region" } */
;
}
#pragma acc data
{
#pragma omp target /* { dg-error "non-OpenACC construct inside of OpenACC region" } */
;
#pragma omp target data map(i) /* { dg-error "non-OpenACC construct inside of OpenACC region" } */
;
#pragma omp target update to(i) /* { dg-error "non-OpenACC construct inside of OpenACC region" } */
}
}
#pragma acc routine
void
f_acc_loop (void)
{
#pragma acc loop
for (i = 0; i < 2; ++i)
{
#pragma omp parallel /* { dg-error "non-OpenACC construct inside of OpenACC routine" } */
;
}
#pragma acc loop
for (i = 0; i < 2; ++i)
{
#pragma omp for /* { dg-error "non-OpenACC construct inside of OpenACC routine" } */
for (i = 0; i < 3; i++)
;
}
#pragma acc loop
for (i = 0; i < 2; ++i)
{
#pragma omp sections /* { dg-error "non-OpenACC construct inside of OpenACC routine" } */
{
;
}
}
#pragma acc loop
for (i = 0; i < 2; ++i)
{
#pragma omp single /* { dg-error "non-OpenACC construct inside of OpenACC routine" } */
;
}
#pragma acc loop
for (i = 0; i < 2; ++i)
{
#pragma omp task /* { dg-error "non-OpenACC construct inside of OpenACC routine" } */
;
}
#pragma acc loop
for (i = 0; i < 2; ++i)
{
#pragma omp master /* { dg-error "non-OpenACC construct inside of OpenACC routine" } */
;
}
#pragma acc loop
for (i = 0; i < 2; ++i)
{
#pragma omp critical /* { dg-error "non-OpenACC construct inside of OpenACC routine" } */
;
}
#pragma acc loop
for (i = 0; i < 2; ++i)
{
#pragma omp ordered /* { dg-error "non-OpenACC construct inside of OpenACC routine" } */
;
}
#pragma acc loop
for (i = 0; i < 2; ++i)
{
#pragma omp target /* { dg-error "non-OpenACC construct inside of OpenACC routine" } */
;
#pragma omp target data map(i) /* { dg-error "non-OpenACC construct inside of OpenACC routine" } */
;
#pragma omp target update to(i) /* { dg-error "non-OpenACC construct inside of OpenACC routine" } */
}
}
#pragma acc routine
void
f_acc_routine (void)
{
#pragma omp target /* { dg-error "non-OpenACC construct inside of OpenACC routine" } */
;
}
|
ellipticPreconProlongateHex3D.c | /*
The MIT License (MIT)
Copyright (c) 2017 Tim Warburton, Noel Chalmers, Jesse Chan, Ali Karakus
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.
*/
extern "C" void FUNC(ellipticPreconProlongateHex3D)(const dlong& Nelements,
const dfloat* __restrict__ R,
const dfloat* __restrict__ qc,
dfloat* __restrict__ qN)
{
dfloat r_q[p_NqCoarse][p_NqFine][p_NqFine];
dfloat s_q[p_NqCoarse][p_NqCoarse];
dfloat s_Pq[p_NqFine][p_NqCoarse];
dfloat s_R[p_NqCoarse][p_NqFine];
for(int j = 0; j < p_NqCoarse; ++j){
for(int i = 0; i < p_NqFine; ++i) {
int t = i + j * p_NqFine;
const dfloat r = R[t];
s_R[j][i] = r;
}
}
#ifdef __NEKRS__OMP__
#pragma omp parallel for private(s_Pq, r_q, s_q)
#endif
for(dlong e = 0; e < Nelements; ++e) {
for(int j = 0; j < p_NqCoarse; ++j)
for(int i = 0; i < p_NqFine; ++i) {
const int t = i + j * p_NqFine;
if(t < p_NqCoarse * p_NqCoarse) {
#pragma unroll
for(int k = 0; k < p_NqFine; ++k)
r_q[j][i][k] = 0;
for(int k = 0; k < p_NqCoarse; ++k) {
const int id = t + k * p_NqCoarse * p_NqCoarse + e * p_NpCoarse;
const dfloat tmp = qc[id];
#pragma unroll
for(int m = 0; m < p_NqFine; ++m)
r_q[j][i][m] += s_R[k][m] * tmp;
}
}
}
for(int k = 0; k < p_NqFine; ++k) {
for(int j = 0; j < p_NqCoarse; ++j)
for(int i = 0; i < p_NqFine; ++i) {
const int t = i + j * p_NqFine;
if(t < p_NqCoarse * p_NqCoarse) {
const int ti = t % p_NqCoarse;
const int tj = t / p_NqCoarse;
s_q[tj][ti] = r_q[j][i][k];
}
}
for(int j = 0; j < p_NqCoarse; ++j)
for(int i = 0; i < p_NqFine; ++i) {
const int t = i + j * p_NqFine;
if(t < p_NqCoarse * p_NqFine) {
const int ti = t % p_NqCoarse;
const int tj = t / p_NqCoarse;
dfloat res = 0;
#pragma unroll
for(int m = 0; m < p_NqCoarse; ++m)
res += s_R[m][tj] * s_q[m][ti];
s_Pq[tj][ti] = res;
}
}
for(int j = 0; j < p_NqFine; ++j)
for(int i = 0; i < p_NqFine; ++i) {
dfloat res = 0;
#pragma unroll
for(int m = 0; m < p_NqCoarse; ++m)
res += s_R[m][i] * s_Pq[j][m];
const int id = i + j * p_NqFine + k * p_NqFine * p_NqFine + e * p_NpFine;
qN[id] += res;
}
}
}
}
|
deramp.c | #include<Python.h>
#include<numpy/arrayobject.h>
#include<math.h>
#include<omp.h>
#define IND(a,i) *((double *)(a->data+i*a->strides[0]))
static PyObject *deramp(PyObject *self, PyObject *args, PyObject *keywds);
static PyObject *deramp(PyObject *self, PyObject *args, PyObject *keywds)
{
PyObject *etc;
PyArrayObject *x,*y, *rampparams;
double g,r0,r1,th0,th1,pm,goal,a,b,gb,r0b,r1b;
int i;
npy_intp dims[1];
// etc = PyList_New(0);
static char *kwlist[] = {"rampparams","x","etc",NULL};
if(!PyArg_ParseTupleAndKeywords(args,keywds,"OO|O",kwlist,&rampparams,&x,&etc))
{
return NULL;
}
g = IND(rampparams,0);
r0 = IND(rampparams,1);
r1 = IND(rampparams,2);
th0 = IND(rampparams,3); //Angle b/w r0 & r1
th1 = IND(rampparams,4); //Angle b/w r0 & g
pm = IND(rampparams,5);
gb = IND(rampparams,6); //Best-fit value
r0b = IND(rampparams,7); //Best-fit value
r1b = IND(rampparams,8); //Best-fit value
a = r0*cos(th1)*cos(th0) - r1*cos(th1)+sin(th0) + g*sin(th1) + r0b;
b = r0*sin(th0) + r1*cos(th0) + r1b;
goal = -r0*sin(th1)*cos(th0) + r1*sin(th1)*sin(th0) + g*cos(th1) + gb;
dims[0] = x->dimensions[0];
y = (PyArrayObject *) PyArray_SimpleNew(1,dims,PyArray_DOUBLE);
#pragma omp parallel for
for(i=0;i<dims[0];i++)
{
// IND(y,i) = goal+pm*exp(-(IND(x,i)*cost-sint)/r0 + (IND(x,i)*sint+cost)*r1);
IND(y,i) = goal+pm*exp(-a*IND(x,i) + b);
}
return PyArray_Return(y);
}
static char module_docstring[]="\
This function creates a model that fits a ramp using a rising exponential.\n\
\n\
Parameters\n\
----------\n\
goal: goal as x -> inf\n\
m: rise exp\n\
x0: time offset\n\
x: Array of time/phase points\n\
\n\
Returns\n\
-------\n\
This function returns an array of y values by combining an eclipse and a rising exponential\n\
\n\
Revisions\n\
---------\n\
2008-06-24 Kevin Stevenson, UCF \n\
kevin218@knights.ucf.edu\n\
Original version\n\n\
2010-12-24 Nate Lust, UCF \n\
natelust at linux dot com\n\n\
2018-11-22 Jonathan Fraine, SSI\n\
jfraine at spacescience.org\n\
Updated C extensions to python3, with support for python2.7\n\n\
";
static PyMethodDef module_methods[] = {
{"deramp",(PyCFunction)deramp,METH_VARARGS|METH_KEYWORDS,module_docstring},{NULL}};
// static char module_docstring[] =
// "This module is used to calcuate the deramp";
PyMODINIT_FUNC
#if PY_MAJOR_VERSION >= 3
PyInit_deramp(void)
#else
initderamp(void)
#endif
{
#if PY_MAJOR_VERSION >= 3
PyObject *module;
static struct PyModuleDef moduledef = {
PyModuleDef_HEAD_INIT,
"deramp", /* m_name */
module_docstring, /* m_doc */
-1, /* m_size */
module_methods, /* m_methods */
NULL, /* m_reload */
NULL, /* m_traverse */
NULL, /* m_clear */
NULL, /* m_free */
};
#endif
#if PY_MAJOR_VERSION >= 3
module = PyModule_Create(&moduledef);
if (!module)
return NULL;
/* Load `numpy` functionality. */
import_array();
return module;
#else
PyObject *m = Py_InitModule3("deramp", module_methods, module_docstring);
if (m == NULL)
return;
/* Load `numpy` functionality. */
import_array();
#endif
}
|
eddy_diff_trbintd_impl.h | #ifndef __EDDY_DIFF_TRBINTD_IMPL_H__
#define __EDDY_DIFF_TRBINTD_IMPL_H__
#ifndef EDDY_DIFF_TRBINTD_VERSION_MAJOR
#define EDDY_DIFF_TRBINTD_VERSION_MAJOR 1
#endif
#ifndef EDDY_DIFF_TRBINTD_VERSION_MINOR
#define EDDY_DIFF_TRBINTD_VERSION_MINOR 0
#endif
#ifndef EDDY_DIFF_TRBINTD_PATCH_VERSION
#define EDDY_DIFF_TRBINTD_PATCH_VERSION 0
#endif
#ifndef EDDY_DIFF_TRBINTD_CREATE_DATE
#define EDDY_DIFF_TRBINTD_CREATE_DATE "Date: 27-10-2016 , Time: 14:08 PM GMT+2"
#endif
#ifndef EDDY_DIFF_TRBINTD_BUILD_DATE
#define EDDY_DIFF_TRBINTD_BUILD_DATE ""
#endif
#ifndef EDDY_DIFF_TRBINTD_AUTHOR
#define EDDY_DIFF_TRBINTD_AUTHOR "Name: Bernard Gingold , e-mail: beniekg@gmail.com"
#endif
#include "module_cam_bl_eddy_diff_F90_iface.h"
#include "PhysLib_Config.h"
#include "std_headers.h"
namespace phys_lib_wrappers {
namespace module_eddy_diff {
/*
* Wrapping structure called 'Wrap_Trbintd' its main
* purpose is to present herself as high level wrapper interface
* to underlying Fortran 90 'TRBINTD' subroutine.
* Notification:
* 'EDDY_DIFF_mp_TRBINTD' subroutine is module
* internal (private) and should not be called
* directly by C++ code side.
*/
template<typename R64 = double,
typename I32 = int > struct Wrap_Trbintd {
/***************************************
Constructors and Destructor.
****************************************/
/*
@Purpose:
Default Constructor - explicitly default.
*/
Wrap_Trbintd() = default;
/*
@Purpose:
1st 'main' Constructor which purpose
is to allocate and initialize scalar
and array members. Array members are
zero-filled. Caller must later initialize
input arrays to correct physical state.
*/
Wrap_Trbintd(_In_ const I32 pcols,
_In_ const I32 pver,
_In_ const I32 ncol,
_In_ const I32 qsat)
:
m_pcols{ pcols },
m_pver{ pver },
m_ncol{ ncol },
m_qsat{ qsat },
m_z{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_u{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_v{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_t{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_pmid{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_taux{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * sizeof(R64)), align32B)) },
m_tauy{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * sizeof(R64)), align32B)) },
m_ustar{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * sizeof(R64)), align32B)) },
m_rrho{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * sizeof(R64)), align32B)) },
m_s2{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_n2{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_ri{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_zi{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * (m_pver + 1) * sizeof(R64)), align32B)) },
m_pi{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * (m_pver + 1) * sizeof(R64)), align32B)) },
m_cld{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_qt{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_qv{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_ql{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_qi{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_sfi{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * (m_pver + 1) * sizeof(R64)), align32B)) },
m_sfuh{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_sflh{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_sl{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_slv{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_slslope{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_qtslope{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_chs{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * (m_pver + 1) * sizeof(R64)), align32B)) },
m_chu{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * (m_pver + 1) * sizeof(R64)), align32B)) },
m_cms{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * (m_pver + 1) * sizeof(R64)), align32B)) },
m_cmu{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * (m_pver + 1) * sizeof(R64)), align32B)) },
m_minpblh{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * sizeof(R64)), align32B)) } {
for (int i{ 0 }; i != this->m_nArrays; ++i) {
if ((&this->m_z)[i] == NULL) {
std::cerr << "[" << __DATE__ << ":" << __TIME__ << "]" << "FATAL ERROR: Memory allocation failure in 1st Ctor: 'Wrap_Trbintd'!!\n";
std::cerr << "at " << __FILE__ << ":" << __LINE__ << "(" << std::hex << "0x" << __FUNCTIONW__ << ")" << "\n";
std::cerr << "***** ERROR-DETAILS ***** \n";
std::cerr << "Failure detected at index: " << i << " heap address: " << std::hex << "0x" << (&this->m_z)[i] << "\n";
std::cerr << "Cannot recover, hence on first failure occurrence --> calling exit(-1)!!\n";
std::exit(-1);
}
}
// Zero-initialize arrays.
#if defined (USE_ICL_OPENMP) && \
OPENMP_CURR_VER >= 40
#pragma omp parallel for if((m_pcols * m_pver) >= (1 << 20))
for (int i{ 0 }; i != this->m_pcols; ++i) {
#if defined (USE_AUTO_VECTORIZATION)
#pragma ivdep
#pragma simd
#pragma unroll(UNROLL_4X)
#endif
for (int j{ 0 }; j != this->m_pver; ++j) {
this->m_z[i + m_pcols * j] = 0.0;
this->m_u[i + m_pcols * j] = 0.0;
this->m_v[i + m_pcols * j] = 0.0;
this->m_t[i + m_pcols * j] = 0.0;
this->m_pmid[i + m_pcols * j] = 0.0;
this->m_s2[i + m_pcols * j] = 0.0;
this->m_n2[i + m_pcols * j] = 0.0;
this->m_ri[i + m_pcols * j] = 0.0;
this->m_zi[i + m_pcols * j] = 0.0;
this->m_pi[i + m_pcols * j] = 0.0;
this->m_cld[i + m_pcols * j] = 0.0;
this->m_qt[i + m_pcols * j] = 0.0;
this->m_qv[i + m_pcols * j] = 0.0;
this->m_ql[i + m_pcols * j] = 0.0;
this->m_qi[i + m_pcols * j] = 0.0;
this->m_sfi[i + m_pcols * j] = 0.0;
this->m_sfuh[i + m_pcols * j] = 0.0;
this->m_sflh[i + m_pcols * j] = 0.0;
this->m_sl[i + m_pcols * j] = 0.0;
this->m_slv[i + m_pcols * j] = 0.0;
this->m_slslope[i + m_pcols * j] = 0.0;
this->m_qtslope[i + m_pcols * j] = 0.0;
this->m_chs[i + m_pcols * j] = 0.0;
this->m_chu[i + m_pcols * j] = 0.0;
this->m_cms[i + m_pcols * j] = 0.0;
this->m_cmu[i + m_pcols * j] = 0.0;
}
}
const int top = this->m_pcols * (this->m_pver + 1);
this->m_zi[top] = 0.0;
this->m_pi[top] = 0.0;
this->m_sfi[top] = 0.0;
this->m_chs[top] = 0.0;
this->m_chu[top] = 0.0;
this->m_cms[top] = 0.0;
this->m_cmu[top] = 0.0;
// Initialize arrays 1D.
// Using loop strip mining.
// Warning:
// You must not #undef 'USE_STRIP_MINING' macro.
#if defined (USE_STRIP_MINING)
for (int i{ 0 }; i < this->m_pcols; i += DEFAULT_STRIP_SIZE) {
#if defined (USE_AUTO_VECTORIZATION)
#pragma ivdep
#pragma simd
#endif
for (int j = i; j < std::min(m_pcols, i + DEFAULT_STRIP_SIZE); ++j) {
this->m_taux[j] = 0.0;
this->m_tauy[j] = 0.0;
this->m_ustar[j] = 0.0;
this->m_rrho[j] = 0.0;
this->m_minpblh[j] = 0.0;
}
}
#endif
#else
// Use loop blocking.
// Warning: You must not #undef 'USE_LOOP_BLOCKING' macro!!
#if defined (USE_LOOP_BLOCKING)
for (int i{ 0 }; i != this->m_pcols; i += DEFAULT_BLOCK_SIZE) {
for (int j{ 0 }; j != this->m_pver; j += DEFAULT_BLOCK_SIZE) {
for (int ii = i; ii < DEFAULT_BLOCK_SIZE; ++ii) {
#if defined (USE_AUTO_VECTORIZATION)
#pragma ivdep
#pragma simd
#endif
for (int jj = j; jj < DEFAULT_BLOCK_SIZE; ++jj) {
this->m_z[ii + m_pcols * jj] = 0.0;
this->m_u[ii + m_pcols * jj] = 0.0;
this->m_v[ii + m_pcols * jj] = 0.0;
this->m_t[ii + m_pcols * jj] = 0.0;
this->m_pmid[ii + m_pcols * jj] = 0.0;
this->m_s2[ii + m_pcols * jj] = 0.0;
this->m_n2[ii + m_pcols * jj] = 0.0;
this->m_ri[ii + m_pcols * jj] = 0.0;
this->m_zi[ii + m_pcols * jj] = 0.0;
this->m_pi[ii + m_pcols * jj] = 0.0;
this->m_cld[ii + m_pcols * jj] = 0.0;
this->m_qt[ii + m_pcols * jj] = 0.0;
this->m_qv[ii + m_pcols * jj] = 0.0;
this->m_ql[ii + m_pcols * jj] = 0.0;
this->m_qi[ii + m_pcols * jj] = 0.0;
this->m_sfi[ii + m_pcols * jj] = 0.0;
this->m_sfuh[ii + m_pcols * jj] = 0.0;
this->m_sflh[ii + m_pcols * jj] = 0.0;
this->m_sl[ii + m_pcols * jj] = 0.0;
this->m_slv[ii + m_pcols * jj] = 0.0;
this->m_slslope[ii + m_pcols * jj] = 0.0;
this->m_qtslope[ii + m_pcols * jj] = 0.0;
this->m_chs[ii + m_pcols * jj] = 0.0;
this->m_chu[ii + m_pcols * jj] = 0.0;
this->m_cms[ii + m_pcols * jj] = 0.0;
this->m_cmu[ii + m_pcols * jj] = 0.0;
}
}
}
}
#endif
const int top = this->m_pcols * (this->m_pver + 1);
this->m_zi[top] = 0.0;
this->m_pi[top] = 0.0;
this->m_sfi[top] = 0.0;
this->m_chs[top] = 0.0;
this->m_chu[top] = 0.0;
this->m_cms[top] = 0.0;
this->m_cmu[top] = 0.0;
// Initialize arrays 1D.
// Using loop strip mining.
// Warning:
// You must not #undef 'USE_STRIP_MINING' macro.
#if defined (USE_STRIP_MINING)
for (int i{ 0 }; i < this->m_pcols; i += DEFAULT_STRIP_SIZE) {
#if defined (USE_AUTO_VECTORIZATION)
#pragma ivdep
#pragma simd
#endif
for (int j = i; j < std::min(m_pcols, i + DEFAULT_STRIP_SIZE); ++j) {
this->m_taux[j] = 0.0;
this->m_tauy[j] = 0.0;
this->m_ustar[j] = 0.0;
this->m_rrho[j] = 0.0;
this->m_minpblh[j] = 0.0;
}
}
#endif
#endif
}
/*
@Purpose:
2nd 'main' Constructor which purpose
is to allocate and initialize scalar
and array members. Array output members are
zero-filled. Caller must pass initialized
input arrays to correct physical state.
*/
Wrap_Trbintd(_In_ const I32 pcols,
_In_ const I32 pver,
_In_ const I32 ncol,
_In_ const I32 qsat,
_In_ R64* __restrict const z,
_In_ R64* __restrict const u,
_In_ R64* __restrict const v,
_In_ R64* __restrict const t,
_In_ R64* __restrict const pmid,
_In_ R64* __restrict const taux,
_In_ R64* __restrict const tauy,
_In_ R64* __restrict const zi,
_In_ R64* __restrict const pi,
_In_ R64* __restrict const cld,
_In_ R64* __restrict const qv,
_In_ R64* __restrict const ql,
_In_ R64* __restrict const qi)
:
m_pcols{ pcols },
m_pver{ pver },
m_ncol{ ncol },
m_qsat{ qsat },
m_z{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_u{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_v{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_t{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_pmid{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_taux{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * sizeof(R64)), align32B)) },
m_tauy{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * sizeof(R64)), align32B)) },
m_ustar{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * sizeof(R64)), align32B)) },
m_rrho{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * sizeof(R64)), align32B)) },
m_s2{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_n2{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_ri{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_zi{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * (m_pver + 1) * sizeof(R64)), align32B)) },
m_pi{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * (m_pver + 1) * sizeof(R64)), align32B)) },
m_cld{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_qt{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_qv{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_ql{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_qi{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_sfi{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * (m_pver + 1) * sizeof(R64)), align32B)) },
m_sfuh{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_sflh{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_sl{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_slv{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_slslope{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_qtslope{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_chs{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * (m_pver + 1) * sizeof(R64)), align32B)) },
m_chu{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * (m_pver + 1) * sizeof(R64)), align32B)) },
m_cms{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * (m_pver + 1) * sizeof(R64)), align32B)) },
m_cmu{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * (m_pver + 1) * sizeof(R64)), align32B)) },
m_minpblh{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * sizeof(R64)), align32B)) } {
// Check for memory allocation errors i.e (malloc failures).
for (int i{ 0 }; i != this->m_nArrays; ++i) {
if ((&this->m_z)[i] == NULL) {
std::cerr << "[" << __DATE__ << ":" << __TIME__ << "]" << "FATAL ERROR: Memory allocation failure in 2nd Ctor: 'Wrap_Trbintd'!!\n";
std::cerr << "at " << __FILE__ << ":" << __LINE__ << "(" << std::hex << "0x" << __FUNCTIONW__ << ")" << "\n";
std::cerr << "***** ERROR-DETAILS ***** \n";
std::cerr << "Failure detected at index: " << i << " heap address: " << std::hex << "0x" << (&this->m_z)[i] << "\n";
std::cerr << "Cannot recover, hence on first failure occurrence --> calling exit(-1)!!\n";
std::exit(-1);
}
}
// Check for memory allocation errors - input array arguments.
if (z == NULL ||
u == NULL ||
v == NULL ||
t == NULL ||
pmid == NULL ||
taux == NULL ||
tauy == NULL ||
zi == NULL ||
pi == NULL ||
cld == NULL ||
qv == NULL ||
ql == NULL ||
qi == NULL) {
std::cerr << "[" << __DATE__ << ":" << __TIME__ << "]" << "FATAL ERROR: Memory allocation failure in 2nd Ctor: 'Wrap_Trbintd'!!\n";
std::cerr << "at " << __FILE__ << ":" << __LINE__ << "(" << std::hex << "0x" << __FUNCTIONW__ << ")" << "\n";
std::cerr << "***** ERROR-DETAILS ***** \n";
std::cerr << "One or more caller's arrays contains invalid pointer!!\n";
std::cerr << "Cannot recover, hence on first failure occurrence --> calling exit(-1)!!\n";
std::exit(-1);
}
// Begin OpenMP copy loop of arrays 2D.
// Fall back is single threaded loop blocking method.
#if defined (USE_ICL_OPENMP) && \
OPENMP_CURR_VER >= 40
#pragma omp parallel for if((m_pcols * m_pver) >= (1 << 20))
for (int i{ 0 }; i != m_pcols; ++i) {
#if defined (USE_AUTO_VECTORIZATION)
#pragma ivdep
#pragma simd
#pragma unroll(UNROLL_4X)
#endif
for (int j{ 0 }; j != m_pver; ++j) {
this->m_z[i + m_pcols * j] = z[i + m_pcols * j];
this->m_u[i + m_pcols * j] = u[i + m_pcols * j];
this->m_v[i + m_pcols * j] = v[i + m_pcols * j];
this->m_t[i + m_pcols * j] = t[i + m_pcols * j];
this->m_pmid[i + m_pcols * j] = pmid[i + m_pcols * j];
this->m_s2[i + m_pcols * j] = 0.0;
this->m_n2[i + m_pcols * j] = 0.0;
this->m_ri[i + m_pcols * j] = 0.0;
this->m_zi[i + m_pcols * j] = zi[i + m_pcols * j];
this->m_pi[i + m_pcols * j] = pi[i + m_pcols * j];
this->m_cld[i + m_pcols * j] = cld[i + m_pcols * j];
this->m_qt[i + m_pcols * j] = 0.0;
this->m_qv[i + m_pcols * j] = qv[i + m_pcols * j];
this->m_ql[i + m_pcols * j] = ql[i + m_pcols * j];
this->m_qi[i + m_pcols * j] = qi[i + m_pcols * j];
this->m_sfi[i + m_pcols * j] = 0.0;
this->m_sfuh[i + m_pcols * j] = 0.0;
this->m_sflh[i + m_pcols * j] = 0.0;
this->m_sl[i + m_pcols * j] = 0.0;
this->m_slv[i + m_pcols * j] = 0.0;
this->m_slslope[i + m_pcols * j] = 0.0;
this->m_qtslope[i + m_pcols * j] = 0.0;
this->m_chs[i + m_pcols * j] = 0.0;
this->m_chu[i + m_pcols * j] = 0.0;
this->m_cms[i + m_pcols * j] = 0.0;
this->m_cmu[i + m_pcols * j] = 0.0;
}
}
// Initialize last element of size = m_pcols * m_pver + 1,
// with values passed by caller's input arrays.
// Output arrays are null initialized.
const int top = this->m_pcols * (this->m_pver + 1);
this->m_zi[top] = zi[top];
this->m_pi[top] = pi[top];
this->m_sfi[top] = 0.0;
this->m_chs[top] = 0.0;
this->m_chu[top] = 0.0;
this->m_cms[top] = 0.0;
this->m_cmu[top] = 0.0;
// Copy to arrays 1D , vectorize only.
// Strip mining is enabled by default.
// Warning:
// You must not #undef 'USE_STRIP_MINING' macro!!
#if defined (USE_STRIP_MINING)
for (int i{ 0 }; i != this->m_pcols; i += DEFAULT_STRIP_SIZE) {
#if defined (USE_AUTO_VECTORIZATION)
#pragma ivdep
#pragma simd
#endif
for (int j = i; j < std::min(m_pcols, i + DEFAULT_STRIP_SIZE); ++j) {
this->m_taux[j] = taux[j];
this->m_tauy[j] = tauy[j];
this->m_ustar[j] = 0.0;
this->m_rrho[j] = 0.0;
this->m_minpblh[j] = 0.0;
}
}
#endif
#else
// Use loop blocking.
// Warning: You must not #undef 'USE_LOOP_BLOCKING' macro!!
#if defined (USE_LOOP_BLOCKING)
for (int i{ 0 }; i != this->m_pcols; i += DEFAULT_BLOCK_SIZE) {
for (int j{ 0 }; j != this->m_pver; j += DEFAULT_BLOCK_SIZE) {
for (int ii = i; ii < DEFAULT_BLOCK_SIZE; ++ii) {
#if defined (USE_AUTO_VECTORIZATION)
#pragma ivdep
#pragma simd
#endif
for (int jj = j; jj < DEFAULT_BLOCK_SIZE; ++jj) {
this->m_z[ii + m_pcols * jj] = z[ii + m_pcols * jj];
this->m_u[ii + m_pcols * jj] = u[ii + m_pcols * jj];
this->m_v[ii + m_pcols * jj] = v[ii + m_pcols * jj];
this->m_t[ii + m_pcols * jj] = t[ii + m_pcols * jj];
this->m_pmid[ii + m_pcols * jj] = pmid[ii + m_pcols * jj];
this->m_s2[ii + m_pcols * jj] = 0.0;
this->m_n2[ii + m_pcols * jj] = 0.0;
this->m_ri[ii + m_pcols * jj] = 0.0;
this->m_zi[ii + m_pcols * jj] = zi[ii + m_pcols * jj];
this->m_pi[ii + m_pcols * jj] = pi[ii + m_pcols * jj];
this->m_cld[ii + m_pcols * jj] = cld[ii + m_pcols * jj];
this->m_qt[ii + m_pcols * jj] = 0.0;
this->m_qv[ii + m_pcols * jj] = qv[ii + m_pcols * jj];
this->m_ql[ii + m_pcols * jj] = ql[ii + m_pcols * jj];
this->m_qi[ii + m_pcols * jj] = qi[ii + m_pcols * jj];
this->m_sfi[ii + m_pcols * jj] = 0.0;
this->m_sfuh[ii + m_pcols * jj] = 0.0;
this->m_sflh[ii + m_pcols * jj] = 0.0;
this->m_sl[ii + m_pcols * jj] = 0.0;
this->m_slv[ii + m_pcols * jj] = 0.0;
this->m_slslope[ii + m_pcols * jj] = 0.0;
this->m_qtslope[ii + m_pcols * jj] = 0.0;
this->m_chs[ii + m_pcols * jj] = 0.0;
this->m_chu[ii + m_pcols * jj] = 0.0;
this->m_cms[ii + m_pcols * jj] = 0.0;
this->m_cmu[ii + m_pcols * jj] = 0.0;
}
}
}
}
#endif
// Initialize last element of size = m_pcols * m_pver + 1,
// with values passed by caller's input arrays.
// Output arrays are null initialized.
const int top = this->m_pcols * (this->m_pver + 1);
this->m_zi[top] = zi[top];
this->m_pi[top] = pi[top];
this->m_sfi[top] = 0.0;
this->m_chs[top] = 0.0;
this->m_chu[top] = 0.0;
this->m_cms[top] = 0.0;
this->m_cmu[top] = 0.0;
// Copy to arrays 1D , vectorize only.
// Strip mining is enabled by default.
// Warning:
// You must not #undef 'USE_STRIP_MINING' macro!!
#if defined (USE_STRIP_MINING)
for (int i{ 0 }; i != this->m_pcols; i += DEFAULT_STRIP_SIZE) {
#if defined (USE_AUTO_VECTORIZATION)
#pragma ivdep
#pragma simd
#endif
for (int j = i; j < std::min(m_pcols, i + DEFAULT_STRIP_SIZE); ++j) {
this->m_taux[j] = taux[j];
this->m_tauy[j] = tauy[j];
this->m_ustar[j] = 0.0;
this->m_rrho[j] = 0.0;
this->m_minpblh[j] = 0.0;
}
}
#endif
#endif
}
/*
@Purpose:
Copy Constructor implements deep copy semantics.
*/
Wrap_Trbintd(_In_ const Wrap_Trbintd &x)
:
m_pcols{ x.m_pcols },
m_pver{ x.m_pver },
m_ncol{ x.m_ncol },
m_qsat{ x.m_qsat },
m_z{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_u{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_v{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_t{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_pmid{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_taux{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * sizeof(R64)), align32B)) },
m_tauy{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * sizeof(R64)), align32B)) },
m_ustar{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * sizeof(R64)), align32B)) },
m_rrho{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * sizeof(R64)), align32B)) },
m_s2{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_n2{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_ri{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_zi{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * (m_pver + 1) * sizeof(R64)), align32B)) },
m_pi{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * (m_pver + 1) * sizeof(R64)), align32B)) },
m_cld{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_qt{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_qv{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_ql{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_qi{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_sfi{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * (m_pver + 1) * sizeof(R64)), align32B)) },
m_sfuh{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_sflh{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_sl{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_slv{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_slslope{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_qtslope{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)), align32B)) },
m_chs{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * (m_pver + 1) * sizeof(R64)), align32B)) },
m_chu{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * (m_pver + 1) * sizeof(R64)), align32B)) },
m_cms{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * (m_pver + 1) * sizeof(R64)), align32B)) },
m_cmu{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * (m_pver + 1) * sizeof(R64)), align32B)) },
m_minpblh{ reinterpret_cast<R64*>(_mm_malloc((m_pcols * sizeof(R64)), align32B)) } {
//Check for memory allocations errors i.e (malloc failures).
for (int i{ 0 }; i != this->m_nArrays; ++i){
if ((&this->m_z)[i] == NULL) {
std::cerr << "[" << __DATE__ << ":" << __TIME__ << "]" << "FATAL ERROR: Memory allocation failure in Copy-Ctor: 'Wrap_Trbintd'!!\n";
std::cerr << "at " << __FILE__ << ":" << __LINE__ << "(" << std::hex << "0x" << __FUNCTIONW__ << ")" << "\n";
std::cerr << "***** ERROR-DETAILS ***** \n";
std::cerr << "Failure detected at index: " << i << " heap address: " << std::hex << "0x" << (&this->m_z)[i] << "\n";
std::cerr << "Cannot recover, hence on first failure occurrence --> calling exit(-1)!!\n";
std::exit(-1);
}
}
// Begin OpenMP copy loop of arrays 2D.
// Fall back is single threaded loop blocking method.
#if defined (USE_ICL_OPENMP) && \
OPENMP_CURR_VER >= 40
#pragma omp parallel for if((m_pcols * m_pver) >= (1 << 20))
for (int i{ 0 }; i != this->m_pcols; ++i) {
#if defined (USE_AUTO_VECTORIZATION)
#pragma ivdep
#pragma simd
#pragma unroll(UNROLL_4X)
#endif
for (int j{ 0 }; j != this->m_pver; ++j) {
this->m_z[i + m_pcols * j] = x.m_z[i + x.m_pcols * j];
this->m_u[i + m_pcols * j] = x.m_u[i + x.m_pcols * j];
this->m_v[i + m_pcols * j] = x.m_v[i + x.m_pcols * j];
this->m_t[i + m_pcols * j] = x.m_t[i + x.m_pcols * j];
this->m_pmid[i + m_pcols * j] = x.m_pmid[i + x.m_pcols * j];
this->m_s2[i + m_pcols * j] = x.m_s2[i + x.m_pcols * j];
this->m_n2[i + m_pcols * j] = x.m_n2[i + x.m_pcols * j];
this->m_ri[i + m_pcols * j] = x.m_ri[i + x.m_pcols * j];
this->m_zi[i + m_pcols * j] = x.m_zi[i + x.m_pcols * j];
this->m_pi[i + m_pcols * j] = x.m_pi[i + x.m_pcols * j];
this->m_cld[i + m_pcols * j] = x.m_cld[i + x.m_pcols * j];
this->m_qt[i + m_pcols * j] = x.m_qt[i + x.m_pcols * j];
this->m_qv[i + m_pcols * j] = x.m_qv[i + x.m_pcols * j];
this->m_ql[i + m_pcols * j] = x.m_ql[i + x.m_pcols * j];
this->m_qi[i + m_pcols * j] = x.m_qi[i + x.m_pcols * j];
this->m_sfi[i + m_pcols * j] = x.m_sfi[i + x.m_pcols * j];
this->m_sfuh[i + m_pcols * j] = x.m_sfuh[i + x.m_pcols * j];
this->m_sflh[i + m_pcols * j] = x.m_sflh[i + x.m_pcols * j];
this->m_sl[i + m_pcols * j] = x.m_sl[i + x.m_pcols * j];
this->m_slv[i + m_pcols * j] = x.m_slv[i + x.m_pcols * j];
this->m_slslope[i + m_pcols * j] = x.m_slslope[i + x.m_pcols * j];
this->m_qtslope[i + m_pcols * j] = x.m_qtslope[i + x.m_pcols * j];
this->m_chs[i + m_pcols * j] = x.m_chs[i + x.m_pcols * j];
this->m_chu[i + m_pcols * j] = x.m_chu[i + x.m_pcols * j];
this->m_cms[i + m_pcols * j] = x.m_cms[i + x.m_pcols * j];
this->m_cmu[i + m_pcols * j] = x.m_cmu[i + x.m_pcols * j];
}
}
// Initialize last element of size = m_pcols * m_pver + 1,
// with values passed by caller's input arrays.
// Output arrays are null initialized.
const int top = this->m_pcols * (this->m_pver + 1);
this->m_zi[top] = x.m_zi[top];
this->m_pi[top] = x.m_pi[top];
this->m_sfi[top] = x.m_sfi[top];
this->m_chs[top] = x.m_chs[top];
this->m_chu[top] = x.m_chu[top];
this->m_cms[top] = x.m_cms[top];
this->m_cmu[top] = x.m_cmu[top];
// Copy to arrays 1D , vectorize only.
// Strip mining is enabled by default.
// Warning:
// You must not #undef 'USE_STRIP_MINING' macro!!
#if defined (USE_STRIP_MINING)
for (int i{ 0 }; i != this->m_pcols; i += DEFAULT_STRIP_SIZE) {
#if defined (USE_AUTO_VECTORIZATION)
#pragma ivdep
#pragma simd
#endif
for (int j = i; j < std::min(m_pcols, i + DEFAULT_STRIP_SIZE); ++j) {
this->m_taux[j] = x.m_taux[j];
this->m_tauy[j] = x.m_tauy[j];
this->m_ustar[j] = x.m_ustar[j];
this->m_rrho[j] = x.m_rrho[j];
this->m_minpblh[j] = x.m_minpblh[j];
}
}
#endif
#else
// Use loop blocking.
// Warning: You must not #undef 'USE_LOOP_BLOCKING' macro!!
#if defined (USE_LOOP_BLOCKING)
for (int i{ 0 }; i != this->m_pcols; i += DEFAULT_BLOCK_SIZE) {
for (int j{ 0 }; j != this->m_pver; j += DEFAULT_BLOCK_SIZE) {
for (int ii = i; ii < DEFAULT_BLOCK_SIZE; ++ii) {
#if defined (USE_AUTO_VECTORIZATION)
#pragma ivdep
#pragma simd
#endif
for (int jj = j; jj < DEFAULT_BLOCK_SIZE; ++jj) {
this->m_z[ii + m_pcols * jj] = x.m_z[ii + x.m_pcols * jj];
this->m_u[ii + m_pcols * jj] = x.m_u[ii + x.m_pcols * jj];
this->m_v[ii + m_pcols * jj] = x.m_v[ii + x.m_pcols * jj];
this->m_t[ii + m_pcols * jj] = x.m_t[ii + x.m_pcols * jj];
this->m_pmid[ii + m_pcols * jj] = x.m_pmid[ii + x.m_pcols * jj];
this->m_s2[ii + m_pcols * jj] = x.m_s2[ii + x.m_pcols * jj];
this->m_n2[ii + m_pcols * jj] = x.m_n2[ii + x.m_pcols * jj];
this->m_ri[ii + m_pcols * jj] = x.m_ri[ii + x.m_pcols * jj];
this->m_zi[ii + m_pcols * jj] = x.m_zi[ii + x.m_pcols * jj];
this->m_pi[ii + m_pcols * jj] = x.m_pi[ii + x.m_pcols * jj];
this->m_cld[ii + m_pcols * jj] = x.m_cld[ii + x.m_pcols * jj];
this->m_qt[ii + m_pcols * jj] = x.m_qt[ii + x.m_pcols * jj];
this->m_qv[ii + m_pcols * jj] = x.m_qv[ii + x.m_pcols * jj];
this->m_ql[ii + m_pcols * jj] = x.m_ql[ii + x.m_pcols * jj];
this->m_qi[ii + m_pcols * jj] = x.m_qi[ii + x.m_pcols * jj];
this->m_sfi[ii + m_pcols * jj] = x.m_sfi[ii + x.m_pcols * jj];
this->m_sfuh[ii + m_pcols * jj] = x.m_sfuh[ii + x.m_pcols * jj];
this->m_sflh[ii + m_pcols * jj] = x.m_sflh[ii + x.m_pcols * jj];
this->m_sl[ii + m_pcols * jj] = x.m_sl[ii + x.m_pcols * jj];
this->m_slv[ii + m_pcols * jj] = x.m_slv[ii + x.m_pcols * jj];
this->m_slslope[ii + m_pcols * jj] = x.m_slslope[ii + x.m_pcols * jj];
this->m_qtslope[ii + m_pcols * jj] = x.m_qtslope[ii + x.m_pcols * jj];
this->m_chs[ii + m_pcols * jj] = x.m_chs[ii + x.m_pcols * jj];
this->m_chu[ii + m_pcols * jj] = x.m_chu[ii + x.m_pcols * jj];
this->m_cms[ii + m_pcols * jj] = x.m_cms[ii + x.m_pcols * jj];
this->m_cmu[ii + m_pcols * jj] = x.m_cmu[ii + x.m_pcols * jj];
}
}
}
}
#endif
// Initialize last element of size = m_pcols * m_pver + 1,
// with values passed by caller's input arrays.
// Output arrays are null initialized.
const int top = this->m_pcols * (this->m_pver + 1);
this->m_zi[top] = x.m_zi[top];
this->m_pi[top] = x.m_pi[top];
this->m_sfi[top] = x.m_sfi[top];
this->m_chs[top] = x.m_chs[top];
this->m_chu[top] = x.m_chu[top];
this->m_cms[top] = x.m_cms[top];
this->m_cmu[top] = x.m_cmu[top];
// Copy to arrays 1D , vectorize only.
// Strip mining is enabled by default.
// Warning:
// You must not #undef 'USE_STRIP_MINING' macro!!
#if defined (USE_STRIP_MINING)
for (int i{ 0 }; i != this->m_pcols; i += DEFAULT_STRIP_SIZE) {
#if defined (USE_AUTO_VECTORIZATION)
#pragma ivdep
#pragma simd
#endif
for (int j = i; j < std::min(m_pcols, i + DEFAULT_STRIP_SIZE); ++j) {
this->m_taux[j] = x.m_taux[j];
this->m_tauy[j] = x.m_tauy[j];
this->m_ustar[j] = x.m_ustar[j];
this->m_rrho[j] = x.m_rrho[j];
this->m_minpblh[j] = x.m_minpblh[j];
}
}
#endif
#endif
}
/*
@Purpose:
Move Constructor implements shallow copy semantics.
*/
Wrap_Trbintd(_In_ Wrap_Trbintd &&x)
:
m_pcols{ x.m_pcols },
m_pver{ x.m_pver },
m_ncol{ x.m_ncol },
m_qsat{ x.m_qsat } {
// Copy pointers from x to *this.
for (int i{ 0 }; i != this->m_nArrays; ++i) {
(&this->m_z)[i] = (&x.m_z)[i];
}
// Nullify x's pointers.
for (int i{ 0 }; i != this->m_nArrays; ++i) {
if ((&x.m_z)[i]) {
(&x.m_z)[i] = NULL;
}
}
x.m_pcols = 0;
x.m_pver = 0;
}
/*
@Purpose:
Class Destructor.
*/
~Wrap_Trbintd() {
for (int i{ 0 }; i != this->m_nArrays; ++i) {
if ((&this->m_z)[i]) {
_mm_free((&this->m_z)[i]);
}
}
for (int i{ 0 }; i != this->m_nArrays; ++i) {
(&this->m_z)[i] = NULL;
}
this->m_pcols = 0;
this->m_pver = 0;
}
/*
@Purpose:
Copy-assign Operator implements deep copy semantics.
*/
Wrap_Trbintd & operator=(_In_ const Wrap_Trbintd &x) {
if (this == &x) return (*this);
this->m_pcols = x.m_pcols;
this->m_pver = x.m_pver;
this->m_ncol = x.m_ncol;
this->m_qsat = x.m_qsat;
constexpr int ntPtrs2D{19};
R64 *tPtrs2D[ntPtrs2D] = {};
// Begin an allocation of temporary array of pointers
// to arrays 2D.
for (int i{ 0 }; i != this->m_nArray2D; ++i) {
tPtrs2D[i] = reinterpret_cast<R64*>(_mm_malloc((m_pcols * m_pver * sizeof(R64)),align32B));
}
for (int i{ 0 }; i != this->m_nArray2D; ++i) {
if (tPtrs2D[i] == NULL) {
std::cerr << "[" << __DATE__ << ":" << __TIME__ << "]" << "FATAL ERROR: Memory allocation failure in Copy Operator: 'Wrap_Trbintd'!!\n";
std::cerr << "at " << __FILE__ << ":" << __LINE__ << "(" << std::hex << "0x" << __FUNCTIONW__ << ")" << "\n";
std::cerr << "***** ERROR-DETAILS ***** \n";
std::cerr << "Checking allocation of temporary arrays 2D\.n";
std::cerr << "Failure detected at index: " << i << " heap address: " << std::hex << "0x" << tPtrs2D[i] << "\n";
std::cerr << "Cannot recover, hence on first failure occurrence --> calling exit(-1)!!\n";
std::exit(-1);
}
}
constexpr int ntPtrs2Dp1{7};
R64 *tPtrs2Dp1[ntPtrs2Dp1] = {};
for (int i{ 0 }; i != this->m_nArray2Dp1; ++i) {
tPtrs2Dp1[i] = reinterpret_cast<R64*>(_mm_malloc((m_pcols * (m_pver + 1) * sizeof(R64)),align32B));
}
for (int i{ 0 }; i != this->m_nArray2Dp1; ++i) {
if (tPtrs2Dp1[i] == NULL) {
std::cerr << "[" << __DATE__ << ":" << __TIME__ << "]" << "FATAL ERROR: Memory allocation failure in Copy Operator: 'Wrap_Trbintd'!!\n";
std::cerr << "at " << __FILE__ << ":" << __LINE__ << "(" << std::hex << "0x" << __FUNCTIONW__ << ")" << "\n";
std::cerr << "***** ERROR-DETAILS ***** \n";
std::cerr << "Checking allocation of temporary arrays 2D\.n";
std::cerr << "Failure detected at index: " << i << " heap address: " << std::hex << "0x" << tPtrs2Dp1[i] << "\n";
std::cerr << "Cannot recover, hence on first failure occurrence --> calling exit(-1)!!\n";
std::exit(-1);
}
}
constexpr int ntPtrs1D{5};
R64 *tPtrs1D[ntPtrs1D] = {};
for (int i{ 0 }; i != this->m_nArray1D; ++i) {
tPtrs1D[i] = reinterpret_cast<R64*>(_mm_malloc((m_pcols * sizeof(R64)),align32B));
}
for (int i{ 0 }; i != this->m_nArray1D; ++i) {
if (tPtrs1D[i] == NULL) {
std::cerr << "[" << __DATE__ << ":" << __TIME__ << "]" << "FATAL ERROR: Memory allocation failure in Copy Operator: 'Wrap_Trbintd'!!\n";
std::cerr << "at " << __FILE__ << ":" << __LINE__ << "(" << std::hex << "0x" << __FUNCTIONW__ << ")" << "\n";
std::cerr << "***** ERROR-DETAILS ***** \n";
std::cerr << "Checking allocation of temporary arrays 1D\.n";
std::cerr << "Failure detected at index: " << i << " heap address: " << std::hex << "0x" << tPtrs1D[i] << "\n";
std::cerr << "Cannot recover, hence on first failure occurrence --> calling exit(-1)!!\n";
std::exit(-1);
}
}
// Begin arrays 2D - large copy loop. First arrays 2D.
// OpenMP will be in use if total size >= (1 << 20).
#if defined (USE_ICL_OPENMP) && \
OPENMP_CURR_VER >= 40
#pragma omp parallel for shared(tPtrs2D,tPtrs2Dp1) if((m_pcols * m_pver) >= (1 << 20))
for (int i{ 0 }; i != this->m_pcols; ++i) {
#if defined (USE_AUTO_VECTORIZATION)
#pragma ivdep
#pragma simd
#pragma unroll(UNROLL_4X)
#endif
for (int j{ 0 }; j != this->m_pver; ++j) {
tPtrs2D[0][i + m_pcols * j] = x.m_z[i + x.m_pcols * j];
tPtrs2D[1][i + m_pcols * j] = x.m_u[i + x.m_pcols * j];
tPtrs2D[2][i + m_pcols * j] = x.m_v[i + x.m_pcols * j];
tPtrs2D[3][i + m_pcols * j] = x.m_t[i + x.m_pcols * j];
tPtrs2D[4][i + m_pcols * j] = x.m_pmid[i + x.m_pcols * j];
tPtrs2D[5][i + m_pcols * j] = x.m_s2[i + x.m_pcols * j];
tPtrs2D[6][i + m_pcols * j] = x.m_n2[i + x.m_pcols * j];
tPtrs2D[7][i + m_pcols * j] = x.m_ri[i + x.m_pcols * j];
tPtrs2Dp1[0][i + m_pcols * j] = x.m_zi[i + x.m_pcols * j];
tPtrs2Dp1[1][i + m_pcols * j] = x.m_pi[i + x.m_pcols * j];
tPtrs2D[8][i + m_pcols * j] = x.m_cld[i + x.m_pcols * j];
tPtrs2D[9][i + m_pcols * j] = x.m_qt[i + x.m_pcols * j];
tPtrs2D[10][i + m_pcols * j] = x.m_qv[i + x.m_pcols * j];
tPtrs2D[11][i + m_pcols * j] = x.m_ql[i + x.m_pcols * j];
tPtrs2D[12][i + m_pcols * j] = x.m_qi[i + x.m_pcols * j];
tPtrs2Dp1[2][i + m_pcols * j] = x.m_sfi[i + x.m_pcols * j];
tPtrs2D[13][i + m_pcols * j] = x.m_sfuh[i + x.m_pcols * j];
tPtrs2D[14][i + m_pcols * j] = x.m_sflh[i + x.m_pcols * j];
tPtrs2D[15][i + m_pcols * j] = x.m_sl[i + x.m_pcols * j];
tPtrs2D[16][i + m_pcols * j] = x.m_slv[i + x.m_pcols * j];
tPtrs2D[17][i + m_pcols * j] = x.m_slslope[i + x.m_pcols * j];
tPtrs2D[18][i + m_pcols * j] = x.m_qtslope[i + x.m_pcols * j];
tPtrs2Dp1[3][i + m_pcols * j] = x.m_chs[i + x.m_pcols * j];
tPtrs2Dp1[4][i + m_pcols * j] = x.m_chu[i + x.m_pcols * j];
tPtrs2Dp1[5][i + m_pcols * j] = x.m_cms[i + x.m_pcols * j];
tPtrs2D[19][i + m_pcols * j] = x.m_cmu[i + x.m_pcols * j];
}
}
const int top = this->m_pcols * (this->m_pver + 1);
tPtrs2Dp1[0][top] = x.m_zi[top];
tPtrs2Dp1[1][top] = x.m_pi[top];
tPtrs2Dp1[2][top] = x.m_sfi[top];
tPtrs2Dp1[3][top] = x.m_chs[top];
tPtrs2Dp1[4][top] = x.m_chu[top];
tPtrs2Dp1[5][top] = x.m_cms[top];
tPtrs2Dp1[6][top] = x.m_cmu[top];
// Begin copy loop of arrays 1D.
// Using vectorization and strip mining.
// USE_STRIP_MINING should not be udefined.
#if defined (USE_STRIP_MINING)
for (int i{ 0 }; i != this->m_pcols; i += DEFAULT_STRIP_SIZE) {
#if defined (USE_AUTO_VECTORIZATION)
#pragma ivdep
#pragma simd
#endif
for (int j{ 0 }; j < std::min(m_pcols, i + DEFAULT_STRIP_SIZE); ++j) {
tPtrs1D[0][j] = x.m_taux[j];
tPtrs1D[1][j] = x.m_tauy[j];
tPtrs1D[2][j] = x.m_ustar[j];
tPtrs1D[3][j] = x.m_rrho[j];
tPtrs1D[4][j] = x.m_minpblh[j];
}
}
#endif
// Deallocate current context of *this.
for (int i{ 0 }; i != this->m_nArrays; ++i) {
if ((&this->m_z)[i]) {
_mm_free((&this->m_z)[i]);
}
}
// Reassign temporay pointers to member pointers.
this->m_z = tPtrs2D[0];
this->m_u = tPtrs2D[1];
this->m_v = tPtrs2D[2];
this->m_t = tPtrs2D[3];
this->m_pmid = tPtrs2D[4];
this->m_taux = tPtrs1D[0];
this->m_tauy = tPtrs1D[1];
this->m_ustar = tPtrs1D[2];
this->m_rrho = tPtrs1D[3];
this->m_s2 = tPtrs2D[5];
this->m_n2 = tPtrs2D[6];
this->m_ri = tPtrs2D[7];
this->m_zi = tPtrs2Dp1[0];
this->m_pi = tPtrs2Dp1[1];
this->m_cld = tPtrs2D[8];
this->m_qt = tPtrs2D[9];
this->m_qv = tPtrs2D[10];
this->m_ql = tPtrs2D[11];
this->m_qi = tPtrs2D[12];
this->m_sfi = tPtrs2Dp1[2];
this->m_sfuh = tPtrs2D[13];
this->m_sflh = tPtrs2D[14];
this->m_sl = tPtrs2D[15];
this->m_slv = tPtrs2D[16];
this->m_slslope = tPtrs2D[17];
this->m_qtslope = tPtrs2D[18];
this->m_chs = tPtrs2Dp1[3];
this->m_chu = tPtrs2Dp1[4];
this->m_cms = tPtrs2Dp1[5];
this->m_cmu = tPtrs2Dp1[6];
this->m_minpblh = tPtrs1D[4];
return (*this);
#else
// Using loop blocking optimization.
// Single-threaded execution.
// You should not #undef USE_LOOP_BLOCKING macro!!
#if defined (USE_LOOP_BLOCKING)
for(int i{0}; i != m_pcols; i += DEFAULT_BLOCK_SIZE) {
for(int j{0}; j != m_pver; j += DEFAULT_BLOCK_SIZE) {
for(int ii = i; ii < DEFAULT_BLOCK_SIZE; ++ii) {
#if defined (USE_AUTO_VECTORIZATION)
#pragma ivdep
#pragma simd
#endif
for (int jj = j; jj < DEFAULT_BLOCK_SIZE; ++jj) {
tPtrs2D[0][ii + m_pcols * jj] = x.m_z[ii + x.m_pcols * jj];
tPtrs2D[1][ii + m_pcols * jj] = x.m_u[ii + x.m_pcols * jj];
tPtrs2D[2][ii + m_pcols * jj] = x.m_v[ii + x.m_pcols * jj];
tPtrs2D[3][ii + m_pcols * jj] = x.m_t[ii + x.m_pcols * jj];
tPtrs2D[4][ii + m_pcols * jj] = x.m_pmid[ii + x.m_pcols * jj];
tPtrs2D[5][ii + m_pcols * jj] = x.m_s2[ii + x.m_pcols * jj];
tPtrs2D[6][ii + m_pcols * jj] = x.m_n2[ii + x.m_pcols * jj];
tPtrs2D[7][ii + m_pcols * jj] = x.m_ri[ii + x.m_pcols * jj];
tPtrs2Dp1[0][ii + m_pcols * jj] = x.m_zi[ii + x.m_pcols * jj];
tPtrs2Dp1[1][ii + m_pcols * jj] = x.m_pi[ii + x.m_pcols * jj];
tPtrs2D[8][ii + m_pcols * jj] = x.m_cld[ii + x.m_pcols * jj];
tPtrs2D[9][ii + m_pcols * jj] = x.m_qt[ii + x.m_pcols * jj];
tPtrs2D[10][ii + m_pcols * jj] = x.m_qv[ii + x.m_pcols * jj];
tPtrs2D[11][ii + m_pcols * jj] = x.m_ql[ii + x.m_pcols * jj];
tPtrs2D[12][ii + m_pcols * jj] = x.m_qi[ii + x.m_pcols * jj];
tPtrs2Dp1[2][ii + m_pcols * jj] = x.m_sfi[ii + x.m_pcols * jj];
tPtrs2D[13][ii + m_pcols * jj] = x.m_sfuh[ii + x.m_pcols * jj];
tPtrs2D[14][ii + m_pcols * jj] = x.m_sflh[ii + x.m_pcols * jj];
tPtrs2D[15][ii + m_pcols * jj] = x.m_sl[ii + x.m_pcols * jj];
tPtrs2D[16][ii + m_pcols * jj] = x.m_slv[ii + x.m_pcols * jj];
tPtrs2D[17][ii + m_pcols * jj] = x.m_slslope[ii + x.m_pcols * jj];
tPtrs2D[18][ii + m_pcols * jj] = x.m_qtslope[ii + x.m_pcols * jj];
tPtrs2Dp1[3][ii + m_pcols * jj] = x.m_chs[ii + x.m_pcols * jj];
tPtrs2Dp1[4][ii + m_pcols * jj] = x.m_chu[ii + x.m_pcols * jj];
tPtrs2Dp1[5][ii + m_pcols * jj] = x.m_cms[ii + x.m_pcols * jj];
tPtrs2D[19][ii + m_pcols * jj] = x.m_cmu[ii + x.m_pcols * jj];
}
}
}
}
#endif
const int top = this->m_pcols * (this->m_pver + 1);
tPtrs2Dp1[0][top] = x.m_zi[top];
tPtrs2Dp1[1][top] = x.m_pi[top];
tPtrs2Dp1[2][top] = x.m_sfi[top];
tPtrs2Dp1[3][top] = x.m_chs[top];
tPtrs2Dp1[4][top] = x.m_chu[top];
tPtrs2Dp1[5][top] = x.m_cms[top];
tPtrs2Dp1[6][top] = x.m_cmu[top];
// Begin copy loop of arrays 1D.
// Using vectorization and strip mining.
// USE_STRIP_MINING should not be udefined.
#if defined (USE_STRIP_MINING)
for (int i{ 0 }; i != this->m_pcols; i += DEFAULT_STRIP_SIZE) {
#if defined (USE_AUTO_VECTORIZATION)
#pragma ivdep
#pragma simd
#endif
for (int j{ 0 }; j < std::min(m_pcols, i + DEFAULT_STRIP_SIZE); ++j) {
tPtrs1D[0][j] = x.m_taux[j];
tPtrs1D[1][j] = x.m_tauy[j];
tPtrs1D[2][j] = x.m_ustar[j];
tPtrs1D[3][j] = x.m_rrho[j];
tPtrs1D[4][j] = x.m_minpblh[j];
}
}
#endif
// Deallocate current context of *this.
for (int i{ 0 }; i != this->m_nArrays; ++i) {
if ((&this->m_z)[i]) {
_mm_free((&this->m_z)[i]);
}
}
// Reassign temporay pointers to member pointers.
this->m_z = tPtrs2D[0];
this->m_u = tPtrs2D[1];
this->m_v = tPtrs2D[2];
this->m_t = tPtrs2D[3];
this->m_pmid = tPtrs2D[4];
this->m_taux = tPtrs1D[0];
this->m_tauy = tPtrs1D[1];
this->m_ustar = tPtrs1D[2];
this->m_rrho = tPtrs1D[3];
this->m_s2 = tPtrs2D[5];
this->m_n2 = tPtrs2D[6];
this->m_ri = tPtrs2D[7];
this->m_zi = tPtrs2Dp1[0];
this->m_pi = tPtrs2Dp1[1];
this->m_cld = tPtrs2D[8];
this->m_qt = tPtrs2D[9];
this->m_qv = tPtrs2D[10];
this->m_ql = tPtrs2D[11];
this->m_qi = tPtrs2D[12];
this->m_sfi = tPtrs2Dp1[2];
this->m_sfuh = tPtrs2D[13];
this->m_sflh = tPtrs2D[14];
this->m_sl = tPtrs2D[15];
this->m_slv = tPtrs2D[16];
this->m_slslope = tPtrs2D[17];
this->m_qtslope = tPtrs2D[18];
this->m_chs = tPtrs2Dp1[3];
this->m_chu = tPtrs2Dp1[4];
this->m_cms = tPtrs2Dp1[5];
this->m_cmu = tPtrs2Dp1[6];
this->m_minpblh = tPtrs1D[4];
return (*this);
#endif
}
/*
@Purpose:
Move-assign Operator implements shallow copy semantics.
*/
Wrap_Trbintd & operator=(_In_ Wrap_Trbintd &&x) {
if (this == &x) return (*this);
this->m_pcols = x.m_pcols;
this->m_pver = x.m_pver;
this->m_ncol = x.m_ncol;
this->m_qsat = x.m_qsat;
// Deallocate current context.
for (int i{ 0 }; i != this->m_nArrays; ++i) {
if ((&this->m_z)[i]) {
_mm_free((&this->m_z)[i]);
}
}
// Reassign x's pointers to *this's pointers.
for (int i{ 0 }; i != this->m_nArrays; ++i) {
(&this->m_z)[i] = (&x.m_z)[i];
}
// Nullify x's pointers.
for (int i{ 0 }; i != this->m_nArrays; ++i) {
(&x.m_z)[i] = NULL;
}
x.m_pcols = 0;
x.m_pver = 0;
return (*this);
}
/*
@Purpose:
Calls Fortran 90 'TRBINTD' subroutine.
Warning:
'TRBINTD' probably will not
be accessible from outside eddy_diff module.
*/
void Call_Trbintd() {
EDDY_DIFF_mp_TRBINTD(&this->m_chs, &this->m_pver, &this->m_ncol,
&this->m_z[0], &this->m_u[0], &this->m_v[0], &this->m_t[0],
&this->m_pmid[0], &this->m_taux[0], &this->m_tauy[0],
&this->m_ustar[0], &this->m_rrho[0], &this->m_s2[0], &this->m_n2[0],
&this->m_ri[0], &this->m_zi[0], &this->m_pi[0], &this->m_cld[0],
&this->m_qt[0], &this->m_qv[0], &this->m_ql[0], &this->m_qi[0],
&this->m_sfi[0], &this->m_sfuh[0], &this->m_sflh[0], &this->m_sl[0],
&this->m_slv[0], &this->m_slslope[0], &this->m_qtslope[0], &this->m_chs[0],
&this->m_chu[0], &this->m_cms[0], &this->m_cmu[0], &this->m_minpblh[0],
&this->m_qsat);
}
/*
@Purpose:
Member variables.
*/
I32 m_pcols;
I32 m_pver;
I32 m_ncol;
I32 m_qsat;
_Field_size_(m_pcols * m_pver) R64* __restrict m_z;
_Field_size_(m_pcols * m_pver) R64* __restrict m_u;
_Field_size_(m_pcols * m_pver) R64* __restrict m_v;
_Field_size_(m_pcols * m_pver) R64* __restrict m_t;
_Field_size_(m_pcols * m_pver) R64* __restrict m_pmid;
_Field_size_(m_pcols) R64* __restrict m_taux;
_Field_size_(m_pcols) R64* __restrict m_tauy;
_Field_size_(m_pcols) R64* __restrict m_ustar;
_Field_size_(m_pcols) R64* __restrict m_rrho;
_Field_size_(m_pcols * m_pver) R64* __restrict m_s2;
_Field_size_(m_pcols * m_pver) R64* __restrict m_n2;
_Field_size_(m_pcols * m_pver) R64* __restrict m_ri;
_Field_size_(m_pcols * m_pver + 1) R64* __restrict m_zi;
_Field_size_(m_pcols * m_pver + 1) R64* __restrict m_pi;
_Field_size_(m_pcols * m_pver) R64* __restrict m_cld;
_Field_size_(m_pcols * m_pver) R64* __restrict m_qt;
_Field_size_(m_pcols * m_pver) R64* __restrict m_qv;
_Field_size_(m_pcols * m_pver) R64* __restrict m_ql;
_Field_size_(m_pcols * m_pver) R64* __restrict m_qi;
_Field_size_(m_pcols * m_pver + 1) R64* __restrict m_sfi;
_Field_size_(m_pcols * m_pver) R64* __restrict m_sfuh;
_Field_size_(m_pcols * m_pver) R64* __restrict m_sflh;
_Field_size_(m_pcols * m_pver) R64* __restrict m_sl;
_Field_size_(m_pcols * m_pver) R64* __restrict m_slv;
_Field_size_(m_pcols * m_pver) R64* __restrict m_slslope;
_Field_size_(m_pcols * m_pver) R64* __restrict m_qtslope;
_Field_size_(m_pcols * m_pver + 1) R64* __restrict m_chs;
_Field_size_(m_pcols * m_pver + 1) R64* __restrict m_chu;
_Field_size_(m_pcols * m_pver + 1) R64* __restrict m_cms;
_Field_size_(m_pcols * m_pver + 1) R64* __restrict m_cmu;
_Field_size_(m_pcols) R64* __restrict m_minpblh;
static const int m_nArrays = 31;
static const int m_nArray1D = 5;
static const int m_nArray2D = 19;
static const int m_nArray2Dp1 = 7;
};
}
}
#endif /*__EDDY_DIFF_TRBINTD_IMPL_H__*/ |
SectionsEndLink.c | int main() {
#pragma omp sections
{
}
#pragma omp sections
{
#pragma omp section
{
int x;
}
}
#pragma omp sections
{
#pragma omp section
{
12;
}
#pragma omp section
{
13;
}
}
#pragma omp sections
{
#pragma omp section
{
14;
}
}
#pragma omp sections
{
#pragma omp section
{
int x;
}
#pragma omp section
{
15;
}
#pragma omp section
{
int x;
}
}
#pragma omp sections
{
#pragma omp section
{
int x;
}
#pragma omp section
{
int x;
}
}
}
|
GB_binop__ge_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__ge_int64)
// A.*B function (eWiseMult): GB (_AemultB_08__ge_int64)
// A.*B function (eWiseMult): GB (_AemultB_02__ge_int64)
// A.*B function (eWiseMult): GB (_AemultB_04__ge_int64)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__ge_int64)
// A*D function (colscale): GB (_AxD__ge_int64)
// D*A function (rowscale): GB (_DxB__ge_int64)
// C+=B function (dense accum): GB (_Cdense_accumB__ge_int64)
// C+=b function (dense accum): GB (_Cdense_accumb__ge_int64)
// C+=A+B function (dense ewise3): GB ((none))
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__ge_int64)
// C=scalar+B GB (_bind1st__ge_int64)
// C=scalar+B' GB (_bind1st_tran__ge_int64)
// C=A+scalar GB (_bind2nd__ge_int64)
// C=A'+scalar GB (_bind2nd_tran__ge_int64)
// C type: bool
// A type: int64_t
// B,b type: int64_t
// BinaryOp: cij = (aij >= bij)
#define GB_ATYPE \
int64_t
#define GB_BTYPE \
int64_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) \
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) \
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_INT64 || GxB_NO_GE_INT64)
//------------------------------------------------------------------------------
// 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_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__ge_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
#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_int64)
(
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 int64_t
int64_t bwork = (*((int64_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_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
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_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
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_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__ge_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__ge_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__ge_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__ge_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__ge_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
bool *Cx = (bool *) 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] = (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_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 ;
bool *Cx = (bool *) 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] = (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] = (x >= aij) ; \
}
GrB_Info GB (_bind1st_tran__ge_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] = (aij >= y) ; \
}
GrB_Info GB (_bind2nd_tran__ge_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
|
VolumetricMaxPooling.c | #ifndef TH_GENERIC_FILE
#define TH_GENERIC_FILE "generic/VolumetricMaxPooling.c"
#else
static void nn_(VolumetricMaxPooling_updateOutput_frame)(real *input_p, real *output_p,
real *indx_p, real *indy_p, real *indz_p,
long nslices,
long itime, long iwidth, long iheight,
long otime, long owidth, long oheight,
int kT, int kW, int kH, int dT, int dW, int dH)
{
long k;
#pragma omp parallel for private(k)
for (k = 0; k < nslices; k++)
{
/* loop over output */
long i, j, ti;
for(ti = 0; ti < otime; ti++)
{
for(i = 0; i < oheight; i++)
{
for(j = 0; j < owidth; j++)
{
/* local pointers */
real *ip = input_p + k*itime*iwidth*iheight + ti*iwidth*iheight*dT + i*iwidth*dH + j*dW;
real *op = output_p + k*otime*owidth*oheight + ti*owidth*oheight + i*owidth + j;
real *indzp = indz_p + k*otime*owidth*oheight + ti*owidth*oheight + i*owidth + j;
real *indyp = indy_p + k*otime*owidth*oheight + ti*owidth*oheight + i*owidth + j;
real *indxp = indx_p + k*otime*owidth*oheight + ti*owidth*oheight + i*owidth + j;
/* compute local max: */
real maxval = -THInf;
int x,y,z;
*indzp = -1;
*indyp = -1;
*indxp = -1;
for(z=0; z < kT; z++)
{
for(y = 0; y < kH; y++)
{
for(x = 0; x < kW; x++)
{
real val = *(ip + z*iwidth*iheight + y*iwidth + x);
if (val > maxval)
{
maxval = val;
*indzp = z+1;
*indyp = y+1;
*indxp = x+1;
}
}
}
}
/* set output to local max */
*op = maxval;
/* store location of max (x,y) */
/**indyp = (int)(maxindex / kW)+1;*/
/**indxp = (maxindex % kW) +1;*/
}
}
}
}
}
static int nn_(VolumetricMaxPooling_updateOutput)(lua_State *L)
{
THTensor *input = luaT_checkudata(L, 2, torch_Tensor);
int kT = luaT_getfieldcheckint(L, 1, "kT");
int kW = luaT_getfieldcheckint(L, 1, "kW");
int kH = luaT_getfieldcheckint(L, 1, "kH");
int dT = luaT_getfieldcheckint(L, 1, "dT");
int dW = luaT_getfieldcheckint(L, 1, "dW");
int dH = luaT_getfieldcheckint(L, 1, "dH");
THTensor *indices = luaT_getfieldcheckudata(L, 1, "indices", torch_Tensor);
THTensor *output = luaT_getfieldcheckudata(L, 1, "output", torch_Tensor);
long nslices;
long itime;
long iheight;
long iwidth;
long otime;
long oheight;
long owidth;
real *input_data;
real *output_data;
real *indices_data;
luaL_argcheck(L, input->nDimension == 4 , 2, "4D tensor expected");
luaL_argcheck(L, input->size[3] >= kW && input->size[2] >= kH && input->size[1] >= kT, 2, "input image smaller than kernel size");
/* sizes */
nslices = input->size[0];
itime = input->size[1];
iheight = input->size[2];
iwidth = input->size[3];
otime = (itime - kT) / dT + 1;
oheight = (iheight - kH) / dH + 1;
owidth = (iwidth - kW) / dW + 1;
/* get contiguous input */
input = THTensor_(newContiguous)(input);
/* resize output */
THTensor_(resize4d)(output, nslices, otime, oheight, owidth);
/* indices will contain ti,i,j locations for each output point */
THTensor_(resize5d)(indices, 3, nslices, otime, oheight, owidth);
input_data = THTensor_(data)(input);
output_data = THTensor_(data)(output);
indices_data = THTensor_(data)(indices);
nn_(VolumetricMaxPooling_updateOutput_frame)(input_data, output_data,
indices_data+nslices*otime*owidth*oheight*2,
indices_data+nslices*otime*owidth*oheight,
indices_data,
nslices,
itime, iwidth, iheight,
otime, owidth, oheight,
kT, kW, kH, dT, dW, dH);
/* cleanup */
THTensor_(free)(input);
return 1;
}
static void nn_(VolumetricMaxPooling_updateGradInput_frame)(real *gradInput_p, real *gradOutput_p,
real *indx_p, real *indy_p, real *indz_p,
long nslices,
long itime, long iwidth, long iheight,
long otime, long owidth, long oheight,
int dT, int dW, int dH)
{
long k;
#pragma omp parallel for private(k)
for (k = 0; k < nslices; k++)
{
real *gradInput_p_k = gradInput_p + k*itime*iwidth*iheight;
real *gradOutput_p_k = gradOutput_p + k*otime*owidth*oheight;
real *indx_p_k = indx_p + k*otime*owidth*oheight;
real *indy_p_k = indy_p + k*otime*owidth*oheight;
real *indz_p_k = indz_p + k*otime*owidth*oheight;
/* calculate max points */
long ti, i, j;
for(ti = 0; ti < otime; ti++)
{
for(i = 0; i < oheight; i++)
{
for(j = 0; j < owidth; j++)
{
/* retrieve position of max */
long maxti = indz_p_k[ti*oheight*owidth + i*owidth + j] - 1 + ti*dT;
long maxi = indy_p_k[ti*oheight*owidth + i*owidth + j] - 1 + i*dH;
long maxj = indx_p_k[ti*oheight*owidth + i*owidth + j] - 1 + j*dW;
/* update gradient */
gradInput_p_k[maxti*iheight*iwidth + maxi*iwidth + maxj] += gradOutput_p_k[ti*oheight*owidth + i*owidth + j];
}
}
}
}
}
static int nn_(VolumetricMaxPooling_updateGradInput)(lua_State *L)
{
THTensor *input = luaT_checkudata(L, 2, torch_Tensor);
THTensor *gradOutput = luaT_checkudata(L, 3, torch_Tensor);
int dT = luaT_getfieldcheckint(L, 1, "dT");
int dW = luaT_getfieldcheckint(L, 1, "dW");
int dH = luaT_getfieldcheckint(L, 1, "dH");
THTensor *indices = luaT_getfieldcheckudata(L, 1, "indices", torch_Tensor);
THTensor *gradInput = luaT_getfieldcheckudata(L, 1, "gradInput", torch_Tensor);
int nslices;
int itime;
int iheight;
int iwidth;
int otime;
int oheight;
int owidth;
real *gradInput_data;
real *gradOutput_data;
real *indices_data;
/* get contiguous gradOutput */
gradOutput = THTensor_(newContiguous)(gradOutput);
/* resize */
THTensor_(resizeAs)(gradInput, input);
THTensor_(zero)(gradInput);
/* sizes */
nslices = input->size[0];
itime = input->size[1];
iheight = input->size[2];
iwidth = input->size[3];
otime = gradOutput->size[1];
oheight = gradOutput->size[2];
owidth = gradOutput->size[3];
/* get raw pointers */
gradInput_data = THTensor_(data)(gradInput);
gradOutput_data = THTensor_(data)(gradOutput);
indices_data = THTensor_(data)(indices);
/* backprop */
nn_(VolumetricMaxPooling_updateGradInput_frame)(gradInput_data, gradOutput_data,
indices_data+nslices*otime*owidth*oheight*2,
indices_data+nslices*otime*owidth*oheight,
indices_data,
nslices,
itime, iwidth, iheight,
otime, owidth, oheight,
dT, dW, dH);
/* cleanup */
THTensor_(free)(gradOutput);
return 1;
}
static const struct luaL_Reg nn_(VolumetricMaxPooling__) [] = {
{"VolumetricMaxPooling_updateOutput", nn_(VolumetricMaxPooling_updateOutput)},
{"VolumetricMaxPooling_updateGradInput", nn_(VolumetricMaxPooling_updateGradInput)},
{NULL, NULL}
};
static void nn_(VolumetricMaxPooling_init)(lua_State *L)
{
luaT_pushmetatable(L, torch_Tensor);
luaT_registeratname(L, nn_(VolumetricMaxPooling__), "nn");
lua_pop(L,1);
}
#endif
|
GB_binop__isle_fp64.c |
//------------------------------------------------------------------------------
// GB_binop: hard-coded functions for each built-in binary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2022, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated2/ folder, do not edit it
// (it is auto-generated from Generator/*).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_emult.h"
#include "GB_control.h"
#include "GB_ek_slice.h"
#include "GB_dense.h"
#include "GB_atomics.h"
#include "GB_bitmap_assign_methods.h"
#include "GB_binop__include.h"
// C=binop(A,B) is defined by the following types and operators:
// A+B function (eWiseAdd): GB (_AaddB__isle_fp64)
// A.*B function (eWiseMult): GB (_AemultB_08__isle_fp64)
// A.*B function (eWiseMult): GB (_AemultB_02__isle_fp64)
// A.*B function (eWiseMult): GB (_AemultB_04__isle_fp64)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__isle_fp64)
// A*D function (colscale): GB (_AxD__isle_fp64)
// D*A function (rowscale): GB (_DxB__isle_fp64)
// C+=B function (dense accum): GB (_Cdense_accumB__isle_fp64)
// C+=b function (dense accum): GB (_Cdense_accumb__isle_fp64)
// C+=A+B function (dense ewise3): GB ((none))
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__isle_fp64)
// C=scalar+B GB (_bind1st__isle_fp64)
// C=scalar+B' GB (_bind1st_tran__isle_fp64)
// C=A+scalar GB (_bind2nd__isle_fp64)
// C=A'+scalar GB (_bind2nd_tran__isle_fp64)
// C type: double
// A type: double
// A pattern? 0
// B type: double
// B pattern? 0
// BinaryOp: cij = (aij <= bij)
#define GB_ATYPE \
double
#define GB_BTYPE \
double
#define GB_CTYPE \
double
// 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) \
double 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) \
double 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) \
double 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_ISLE || GxB_NO_FP64 || GxB_NO_ISLE_FP64)
//------------------------------------------------------------------------------
// 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__isle_fp64)
(
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__isle_fp64)
(
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__isle_fp64)
(
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 double
double bwork = (*((double *) 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__isle_fp64)
(
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
double *restrict Cx = (double *) 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__isle_fp64)
(
GrB_Matrix C,
const GrB_Matrix D,
const GrB_Matrix B,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
double *restrict Cx = (double *) 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__isle_fp64)
(
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) ;
double alpha_scalar ;
double beta_scalar ;
if (is_eWiseUnion)
{
alpha_scalar = (*((double *) alpha_scalar_in)) ;
beta_scalar = (*((double *) 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__isle_fp64)
(
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__isle_fp64)
(
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__isle_fp64)
(
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__isle_fp64)
(
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__isle_fp64)
(
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
double *Cx = (double *) Cx_output ;
double x = (*((double *) x_input)) ;
double *Bx = (double *) 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 ;
double 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__isle_fp64)
(
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 ;
double *Cx = (double *) Cx_output ;
double *Ax = (double *) Ax_input ;
double y = (*((double *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
double 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) \
{ \
double aij = GBX (Ax, pA, false) ; \
Cx [pC] = (x <= aij) ; \
}
GrB_Info GB (_bind1st_tran__isle_fp64)
(
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 \
double
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
double x = (*((const double *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
double
}
//------------------------------------------------------------------------------
// 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) \
{ \
double aij = GBX (Ax, pA, false) ; \
Cx [pC] = (aij <= y) ; \
}
GrB_Info GB (_bind2nd_tran__isle_fp64)
(
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
double y = (*((const double *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
GB_msort_3.c | //------------------------------------------------------------------------------
// GB_msort_3: sort a 3-by-n list of integers, using A[0:2][ ] as the key
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2019, All Rights Reserved.
// http://suitesparse.com See GraphBLAS/Doc/License.txt for license.
//------------------------------------------------------------------------------
// A parallel mergesort of an array of 3-by-n integers. Each key consists
// of three integers.
#include "GB_msort_3.h"
//------------------------------------------------------------------------------
// GB_merge_sequential_3: merge two sorted lists via a single thread
//------------------------------------------------------------------------------
// merge Left [0..nleft-1] and Right [0..nright-1] into S [0..nleft+nright-1] */
static void GB_merge_sequential_3
(
int64_t *restrict S_0, // output of length nleft + nright
int64_t *restrict S_1,
int64_t *restrict S_2,
const int64_t *restrict Left_0, // left input of length nleft
const int64_t *restrict Left_1,
const int64_t *restrict Left_2,
const int64_t nleft,
const int64_t *restrict Right_0, // right input of length nright
const int64_t *restrict Right_1,
const int64_t *restrict Right_2,
const int64_t nright
)
{
int64_t p, pleft, pright ;
// merge the two inputs, Left and Right, while both inputs exist
for (p = 0, pleft = 0, pright = 0 ; pleft < nleft && pright < nright ; p++)
{
if (GB_lt_3 (Left_0, Left_1, Left_2, pleft,
Right_0, Right_1, Right_2, pright))
{
// S [p] = Left [pleft++]
S_0 [p] = Left_0 [pleft] ;
S_1 [p] = Left_1 [pleft] ;
S_2 [p] = Left_2 [pleft] ;
pleft++ ;
}
else
{
// S [p] = Right [pright++]
S_0 [p] = Right_0 [pright] ;
S_1 [p] = Right_1 [pright] ;
S_2 [p] = Right_2 [pright] ;
pright++ ;
}
}
// either input is exhausted; copy the remaining list into S
if (pleft < nleft)
{
int64_t nremaining = (nleft - pleft) ;
memcpy (S_0 + p, Left_0 + pleft, nremaining * sizeof (int64_t)) ;
memcpy (S_1 + p, Left_1 + pleft, nremaining * sizeof (int64_t)) ;
memcpy (S_2 + p, Left_2 + pleft, nremaining * sizeof (int64_t)) ;
}
else if (pright < nright)
{
int64_t nremaining = (nright - pright) ;
memcpy (S_0 + p, Right_0 + pright, nremaining * sizeof (int64_t)) ;
memcpy (S_1 + p, Right_1 + pright, nremaining * sizeof (int64_t)) ;
memcpy (S_2 + p, Right_2 + pright, nremaining * sizeof (int64_t)) ;
}
}
//------------------------------------------------------------------------------
// GB_merge_parallel_3: parallel merge
//------------------------------------------------------------------------------
// The two input arrays, Bigger [0..nbigger-1] and Smaller [0..nsmaller-1], are
// sorted. They are merged into the output array S [0..nleft+nright-1], using
// a parallel merge. nbigger >= nsmaller always holds.
void GB_merge_parallel_3 // parallel merge
(
int64_t *restrict S_0, // output of length nbigger + nsmaller
int64_t *restrict S_1,
int64_t *restrict S_2,
const int64_t *restrict Bigger_0, // Bigger [0..nbigger-1]
const int64_t *restrict Bigger_1,
const int64_t *restrict Bigger_2,
const int64_t nbigger,
const int64_t *restrict Smaller_0, // Smaller [0..nsmaller-1]
const int64_t *restrict Smaller_1,
const int64_t *restrict Smaller_2,
const int64_t nsmaller
)
{
//--------------------------------------------------------------------------
// split the bigger input in half
//--------------------------------------------------------------------------
// The first task will handle Bigger [0..nhalf-1], and the second task
// will handle Bigger [nhalf..n-1].
int64_t nhalf = nbigger/2 ;
int64_t Pivot_0 [1] ; Pivot_0 [0] = Bigger_0 [nhalf] ;
int64_t Pivot_1 [1] ; Pivot_1 [0] = Bigger_1 [nhalf] ;
int64_t Pivot_2 [1] ; Pivot_2 [0] = Bigger_2 [nhalf] ;
//--------------------------------------------------------------------------
// find where the Pivot appears in the smaller list
//--------------------------------------------------------------------------
// This is like GB_BINARY_TRIM_SEARCH, but applied to a 3-by-n array.
// binary search of Smaller [0..nsmaller-1] for the Pivot
long pleft = 0, pright = nsmaller-1 ;
while (pleft < pright)
{
long pmiddle = (pleft + pright) / 2 ;
if (GB_lt_3 (Smaller_0, Smaller_1, Smaller_2, pmiddle,
Pivot_0, Pivot_1, Pivot_2, 0))
{
// if in the list, Pivot appears in [pmiddle+1..pright]
pleft = pmiddle + 1 ;
}
else
{
// if in the list, Pivot appears in [pleft..pmiddle]
pright = pmiddle ;
}
}
// binary search is narrowed down to a single item
// or it has found the list is empty:
ASSERT (pleft == pright || pleft == pright + 1) ;
// If found is true then Smaller [pleft == pright] == Pivot. If duplicates
// appear then Smaller [pleft] is any one of the entries equal to the Pivot
// in the list. If found is false then
// Smaller [original_pleft ... pleft-1] < Pivot and
// Smaller [pleft+1 ... original_pright] > Pivot holds.
// The value Smaller [pleft] may be either < or > Pivot.
bool found = (pleft == pright &&
Smaller_0 [pleft] == Pivot_0 [0] &&
Smaller_1 [pleft] == Pivot_1 [0] &&
Smaller_2 [pleft] == Pivot_2 [0]) ;
// Modify pleft and pright:
if (!found && (pleft == pright))
{
if (GB_lt_3 (Smaller_0, Smaller_1, Smaller_2, pleft,
Pivot_0, Pivot_1, Pivot_2, 0))
{
pleft++ ;
}
else
{
pright++ ;
}
}
// Now the following conditions hold:
// If found is false then
// Smaller [original_pleft ... pleft-1] < Pivot and
// Smaller [pleft ... original_pright] > Pivot holds,
// and pleft-1 == pright
// If Smaller has no duplicates, then whether or not Pivot is found,
// Smaller [original_pleft ... pleft-1] < Pivot and
// Smaller [pleft ... original_pright] >= Pivot holds.
//--------------------------------------------------------------------------
// merge each part in parallel
//--------------------------------------------------------------------------
// The first task merges Bigger [0..nhalf-1] and Smaller [0..pleft-1] into
// the output S [0..nhalf+pleft-1]. The entries in Bigger [0..nhalf-1] are
// all < Pivot (if no duplicates appear in Bigger) or <= Pivot otherwise.
int64_t *restrict S_task0_0 = S_0 ;
int64_t *restrict S_task0_1 = S_1 ;
int64_t *restrict S_task0_2 = S_2 ;
const int64_t *restrict Left_task0_0 = Bigger_0 ;
const int64_t *restrict Left_task0_1 = Bigger_1 ;
const int64_t *restrict Left_task0_2 = Bigger_2 ;
const int64_t nleft_task0 = nhalf ;
const int64_t *restrict Right_task0_0 = Smaller_0 ;
const int64_t *restrict Right_task0_1 = Smaller_1 ;
const int64_t *restrict Right_task0_2 = Smaller_2 ;
const int64_t nright_task0 = pleft ;
// The second task merges Bigger [nhalf..nbigger-1] and
// Smaller [pleft..nsmaller-1] into the output S [nhalf+pleft..n-1].
// The entries in Bigger [nhalf..nbigger-1] and Smaller [pleft..nsmaller-1]
// are all >= Pivot.
int64_t *restrict S_task1_0 = S_0 + nhalf + pleft ;
int64_t *restrict S_task1_1 = S_1 + nhalf + pleft ;
int64_t *restrict S_task1_2 = S_2 + nhalf + pleft ;
const int64_t *restrict Left_task1_0 = Bigger_0 + nhalf ;
const int64_t *restrict Left_task1_1 = Bigger_1 + nhalf ;
const int64_t *restrict Left_task1_2 = Bigger_2 + nhalf ;
const int64_t nleft_task1 = (nbigger - nhalf) ;
const int64_t *restrict Right_task1_0 = Smaller_0 + pleft ;
const int64_t *restrict Right_task1_1 = Smaller_1 + pleft ;
const int64_t *restrict Right_task1_2 = Smaller_2 + pleft ;
const int64_t nright_task1 = (nsmaller - pleft) ;
#pragma omp task firstprivate(S_task0_0, S_task0_1, \
Left_task0_0, Left_task0_1, nleft_task0, \
Right_task0_0, Right_task0_1, nright_task0)
GB_merge_select_3 (S_task0_0, S_task0_1, S_task0_2,
Left_task0_0, Left_task0_1, Left_task0_2, nleft_task0,
Right_task0_0, Right_task0_1, Right_task0_2, nright_task0) ;
#pragma omp task firstprivate(S_task1_0, S_task1_1, \
Left_task1_0, Left_task1_1, nleft_task1, \
Right_task1_0, Right_task1_1, nright_task1)
GB_merge_select_3 (S_task1_0, S_task1_1, S_task1_2,
Left_task1_0, Left_task1_1, Left_task1_2, nleft_task1,
Right_task1_0, Right_task1_1, Right_task1_2, nright_task1) ;
#pragma omp taskwait
}
//------------------------------------------------------------------------------
// GB_merge_select_3: parallel or sequential merge
//------------------------------------------------------------------------------
// The two input arrays, Left [0..nleft-1] and Right [0..nright-1], are sorted.
// They are merged into the output array S [0..nleft+nright-1], using either
// the sequential merge (for small lists) or the parallel merge (for big
// lists).
void GB_merge_select_3 // parallel or sequential merge of 3-by-n arrays
(
int64_t *restrict S_0, // output of length nleft+nright
int64_t *restrict S_1,
int64_t *restrict S_2,
const int64_t *restrict Left_0, // Left [0..nleft-1]
const int64_t *restrict Left_1,
const int64_t *restrict Left_2,
const int64_t nleft,
const int64_t *restrict Right_0, // Right [0..nright-1]
const int64_t *restrict Right_1,
const int64_t *restrict Right_2,
const int64_t nright
)
{
if (nleft + nright < GB_BASECASE)
{
// sequential merge
GB_merge_sequential_3 (S_0, S_1, S_2,
Left_0, Left_1, Left_2, nleft,
Right_0, Right_1, Right_2, nright) ;
}
else if (nleft >= nright)
{
// parallel merge, where Left [0..nleft-1] is the bigger of the two.
GB_merge_parallel_3 (S_0, S_1, S_2,
Left_0, Left_1, Left_2, nleft,
Right_0, Right_1, Right_2, nright) ;
}
else
{
// parallel merge, where Right [0..nright-1] is the bigger of the two.
GB_merge_parallel_3 (S_0, S_1, S_2,
Right_0, Right_1, Right_2, nright,
Left_0, Left_1, Left_2, nleft) ;
}
}
//------------------------------------------------------------------------------
// GB_mergesort_3: parallel merge sort of a 3-by-n array
//------------------------------------------------------------------------------
// GB_mergesort_3 sorts an int64_t array A of size 3-by-n in ascending
// order, using a parallel mergesort. W is a workspace array of size 3-by-n.
// Small arrays are sorted with a quicksort method.
void GB_mergesort_3 // sort array A of size 3-by-n, using 3 keys (A [0:1][])
(
int64_t *restrict A_0, // size n array
int64_t *restrict A_1, // size n array
int64_t *restrict A_2, // size n array
int64_t *restrict W_0, // size n array, workspace
int64_t *restrict W_1, // size n array, workspace
int64_t *restrict W_2, // size n array, workspace
const int64_t n
)
{
if (n <= GB_BASECASE)
{
// ---------------------------------------------------------------------
// sequential quicksort; no workspace needed
// ---------------------------------------------------------------------
GB_qsort_3 (A_0, A_1, A_2, n) ;
}
else
{
// ---------------------------------------------------------------------
// recursive merge sort if A has length greater than GB_BASECASE
// ---------------------------------------------------------------------
// ---------------------------------------------------------------------
// split A into four quarters
// ---------------------------------------------------------------------
int64_t n12 = n / 2 ; // split n into n12 and n34
int64_t n34 = n - n12 ;
int64_t n1 = n12 / 2 ; // split n12 into n1 and n2
int64_t n2 = n12 - n1 ;
int64_t n3 = n34 / 2 ; // split n34 into n3 and n4
int64_t n4 = n34 - n3 ;
int64_t n123 = n12 + n3 ; // start of 4th quarter = n1 + n2 + n3
// 1st quarter of A and W
int64_t *restrict A_1st0 = A_0 ;
int64_t *restrict A_1st1 = A_1 ;
int64_t *restrict A_1st2 = A_2 ;
int64_t *restrict W_1st0 = W_0 ;
int64_t *restrict W_1st1 = W_1 ;
int64_t *restrict W_1st2 = W_2 ;
// 2nd quarter of A and W
int64_t *restrict A_2nd0 = A_0 + n1 ;
int64_t *restrict A_2nd1 = A_1 + n1 ;
int64_t *restrict A_2nd2 = A_2 + n1 ;
int64_t *restrict W_2nd0 = W_0 + n1 ;
int64_t *restrict W_2nd1 = W_1 + n1 ;
int64_t *restrict W_2nd2 = W_2 + n1 ;
// 3rd quarter of A and W
int64_t *restrict A_3rd0 = A_0 + n12 ;
int64_t *restrict A_3rd1 = A_1 + n12 ;
int64_t *restrict A_3rd2 = A_2 + n12 ;
int64_t *restrict W_3rd0 = W_0 + n12 ;
int64_t *restrict W_3rd1 = W_1 + n12 ;
int64_t *restrict W_3rd2 = W_2 + n12 ;
// 4th quarter of A and W
int64_t *restrict A_4th0 = A_0 + n123 ;
int64_t *restrict A_4th1 = A_1 + n123 ;
int64_t *restrict A_4th2 = A_2 + n123 ;
int64_t *restrict W_4th0 = W_0 + n123 ;
int64_t *restrict W_4th1 = W_1 + n123 ;
int64_t *restrict W_4th2 = W_2 + n123 ;
// ---------------------------------------------------------------------
// sort each quarter of A in parallel, using W as workspace
// ---------------------------------------------------------------------
#pragma omp task \
firstprivate(A_1st0, A_1st1, A_1st2, W_1st0, W_1st1, W_1st2, n1)
GB_mergesort_3 (A_1st0, A_1st1, A_1st2, W_1st0, W_1st1, W_1st2, n1) ;
#pragma omp task \
firstprivate(A_2nd0, A_2nd1, A_2nd2, W_2nd0, W_2nd1, W_2nd2, n2)
GB_mergesort_3 (A_2nd0, A_2nd1, A_2nd2, W_2nd0, W_2nd1, W_2nd2, n2) ;
#pragma omp task \
firstprivate(A_3rd0, A_3rd1, A_3rd2, W_3rd0, W_3rd1, W_3rd2, n3)
GB_mergesort_3 (A_3rd0, A_3rd1, A_3rd2, W_3rd0, W_3rd1, W_3rd2, n3) ;
#pragma omp task \
firstprivate(A_4th0, A_4th1, A_4th2, W_4th0, W_4th1, W_4th2, n4)
GB_mergesort_3 (A_4th0, A_4th1, A_4th2, W_4th0, W_4th1, W_4th2, n4) ;
#pragma omp taskwait
// ---------------------------------------------------------------------
// merge pairs of quarters of A into two halves of W, in parallel
// ---------------------------------------------------------------------
#pragma omp task firstprivate(W_1st0, W_1st1, W_1st2, \
A_1st0, A_1st1, A_1st2, n1, A_2nd0, A_2nd1, A_2nd2, n2)
GB_merge_select_3 (W_1st0, W_1st1, W_1st2,
A_1st0, A_1st1, A_1st2, n1, A_2nd0, A_2nd1, A_2nd2, n2) ;
#pragma omp task firstprivate(W_3rd0, W_3rd1, W_3rd2, \
A_3rd0, A_3rd1, A_3rd2, n3, A_4th0, A_4th1, A_4th2, n4)
GB_merge_select_3 (W_3rd0, W_3rd1, W_3rd2,
A_3rd0, A_3rd1, A_3rd2, n3, A_4th0, A_4th1, A_4th2, n4) ;
#pragma omp taskwait
// ---------------------------------------------------------------------
// merge the two halves of W into A
// ---------------------------------------------------------------------
GB_merge_select_3 (A_0, A_1, A_2, W_1st0, W_1st1, W_1st2, n12,
W_3rd0, W_3rd1, W_3rd2, n34) ;
}
}
//------------------------------------------------------------------------------
// GB_msort_3: gateway for parallel merge sort
//------------------------------------------------------------------------------
void GB_msort_3 // sort array A of size 2-by-n, using 2 keys (A [0:1][])
(
int64_t *restrict A_0, // size n array
int64_t *restrict A_1, // size n array
int64_t *restrict A_2, // size n array
int64_t *restrict W_0, // size n array, workspace
int64_t *restrict W_1, // size n array, workspace
int64_t *restrict W_2, // size n array, workspace
const int64_t n,
const int nthreads // # of threads to use
)
{
if (GB_OPENMP_GET_NUM_THREADS > 1)
{
// ---------------------------------------------------------------------
// parallel mergesort: already in parallel region
// ---------------------------------------------------------------------
// GB_msort_3 is already in a parallel region in the caller. This
// does not occur inside GraphBLAS, but the user application might be
// calling GraphBLAS inside its own parallel region.
GB_mergesort_3 (A_0, A_1, A_2, W_0, W_1, W_2, n) ;
}
else
{
// ---------------------------------------------------------------------
// parallel mergesort: start a parallel region
// ---------------------------------------------------------------------
#pragma omp parallel num_threads(nthreads)
#pragma omp master
GB_mergesort_3 (A_0, A_1, A_2, W_0, W_1, W_2, n) ;
}
}
|
target_teams_distribute_simd_misc_messages.c | // RUN: %clang_cc1 -fsyntax-only -fopenmp -fopenmp-version=45 -verify=expected,omp45 %s -Wuninitialized
// RUN: %clang_cc1 -fsyntax-only -fopenmp -fopenmp-version=50 -verify=expected,omp50 %s -Wuninitialized
// RUN: %clang_cc1 -fsyntax-only -fopenmp-simd -fopenmp-version=45 -verify=expected,omp45 %s -Wuninitialized
// RUN: %clang_cc1 -fsyntax-only -fopenmp-simd -fopenmp-version=50 -verify=expected,omp50 %s -Wuninitialized
// expected-error@+1 {{unexpected OpenMP directive '#pragma omp target teams distribute simd'}}
#pragma omp target teams distribute simd
// expected-error@+1 {{unexpected OpenMP directive '#pragma omp target teams distribute simd'}}
#pragma omp target teams distribute simd foo
void test_no_clause() {
int i;
#pragma omp target teams distribute simd
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{statement after '#pragma omp target teams distribute simd' must be a for loop}}
#pragma omp target teams distribute simd
++i;
}
void test_branch_protected_scope() {
int i = 0;
L1:
++i;
int x[24];
#pragma omp target teams distribute 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;
// expected-warning@+1 {{extra tokens at the end of '#pragma omp target teams distribute simd' are ignored}}
#pragma omp target teams distribute simd foo bar
for (i = 0; i < 16; ++i)
;
}
void test_non_identifiers() {
int i, x;
// expected-warning@+1 {{extra tokens at the end of '#pragma omp target teams distribute simd' are ignored}}
#pragma omp target teams distribute simd;
for (i = 0; i < 16; ++i)
;
// expected-warning@+1 {{extra tokens at the end of '#pragma omp target teams distribute simd' are ignored}}
#pragma omp target teams distribute simd private(x);
for (i = 0; i < 16; ++i)
;
// expected-warning@+1 {{extra tokens at the end of '#pragma omp target teams distribute simd' are ignored}}
#pragma omp target teams distribute simd, private(x);
for (i = 0; i < 16; ++i)
;
}
extern int foo();
void test_collapse() {
int i;
// expected-error@+1 {{expected '('}}
#pragma omp target teams distribute simd collapse
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp target teams distribute simd collapse(
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}}
#pragma omp target teams distribute simd collapse()
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp target teams distribute simd collapse(,
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp target teams distribute simd collapse(, )
for (i = 0; i < 16; ++i)
;
// expected-warning@+2 {{extra tokens at the end of '#pragma omp target teams distribute simd' are ignored}}
// expected-error@+1 {{expected '('}}
#pragma omp target teams distribute simd collapse 4)
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}} expected-note@+1 {{as specified in 'collapse' clause}}
#pragma omp target teams distribute simd collapse(4
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp target teams distribute simd', but found only 1}}
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}} expected-note@+1 {{as specified in 'collapse' clause}}
#pragma omp target teams distribute simd collapse(4,
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp target teams distribute simd', but found only 1}}
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}} expected-note@+1 {{as specified in 'collapse' clause}}
#pragma omp target teams distribute simd collapse(4, )
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp target teams distribute simd', but found only 1}}
// expected-note@+1 {{as specified in 'collapse' clause}}
#pragma omp target teams distribute simd collapse(4)
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp target teams distribute simd', but found only 1}}
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}} expected-note@+1 {{as specified in 'collapse' clause}}
#pragma omp target teams distribute simd collapse(4 4)
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp target teams distribute simd', but found only 1}}
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}} expected-note@+1 {{as specified in 'collapse' clause}}
#pragma omp target teams distribute simd collapse(4, , 4)
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp target teams distribute simd', but found only 1}}
#pragma omp target teams distribute 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();
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}} expected-note@+1 {{as specified in 'collapse' clause}}
#pragma omp target teams distribute simd collapse(4, 8)
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp target teams distribute simd', but found only 1}}
// expected-error@+1 {{integer constant expression}}
#pragma omp target teams distribute simd collapse(2.5)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{integer constant expression}}
#pragma omp target teams distribute simd collapse(foo())
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{argument to 'collapse' clause must be a strictly positive integer value}}
#pragma omp target teams distribute simd collapse(-5)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{argument to 'collapse' clause must be a strictly positive integer value}}
#pragma omp target teams distribute simd collapse(0)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{argument to 'collapse' clause must be a strictly positive integer value}}
#pragma omp target teams distribute simd collapse(5 - 5)
for (i = 0; i < 16; ++i)
;
// expected-error@+4 {{OpenMP constructs may not be nested inside a simd region}}
#pragma omp target teams distribute simd collapse(2) firstprivate(i) // expected-note {{defined as firstprivate}}
for (i = 0; i < 16; ++i) // expected-error {{loop iteration variable in the associated loop of 'omp target teams distribute simd' directive may not be firstprivate, predetermined as lastprivate}}
for (int j = 0; j < 16; ++j)
#pragma omp parallel for reduction(+ : i, j)
for (int k = 0; k < 16; ++k)
i += j;
}
void test_private() {
int i;
// expected-error@+2 {{expected expression}}
// expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp target teams distribute simd private(
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected ')'}} expected-note@+2 {{to match this '('}}
// expected-error@+1 2 {{expected expression}}
#pragma omp target teams distribute simd private(,
for (i = 0; i < 16; ++i)
;
// expected-error@+1 2 {{expected expression}}
#pragma omp target teams distribute simd private(, )
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}}
#pragma omp target teams distribute simd private()
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}}
#pragma omp target teams distribute simd private(int)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected variable name}}
#pragma omp target teams distribute simd private(0)
for (i = 0; i < 16; ++i)
;
int x, y, z;
#pragma omp target teams distribute simd private(x)
for (i = 0; i < 16; ++i)
;
#pragma omp target teams distribute simd private(x, y)
for (i = 0; i < 16; ++i)
;
#pragma omp target teams distribute simd private(x, y, z)
for (i = 0; i < 16; ++i) {
x = y * i + z;
}
}
void test_lastprivate() {
int i;
// expected-error@+2 {{expected ')'}} expected-note@+2 {{to match this '('}}
// expected-error@+1 {{expected expression}}
#pragma omp target teams distribute simd lastprivate(
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected ')'}} expected-note@+2 {{to match this '('}}
// expected-error@+1 2 {{expected expression}}
#pragma omp target teams distribute simd lastprivate(,
for (i = 0; i < 16; ++i)
;
// expected-error@+1 2 {{expected expression}}
#pragma omp target teams distribute simd lastprivate(, )
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}}
#pragma omp target teams distribute simd lastprivate()
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}}
#pragma omp target teams distribute simd lastprivate(int)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected variable name}}
#pragma omp target teams distribute simd lastprivate(0)
for (i = 0; i < 16; ++i)
;
int x, y, z;
#pragma omp target teams distribute simd lastprivate(x)
for (i = 0; i < 16; ++i)
;
#pragma omp target teams distribute simd lastprivate(x, y)
for (i = 0; i < 16; ++i)
;
#pragma omp target teams distribute simd lastprivate(x, y, z)
for (i = 0; i < 16; ++i)
;
}
void test_firstprivate() {
int i;
// expected-error@+2 {{expected ')'}} expected-note@+2 {{to match this '('}}
// expected-error@+1 {{expected expression}}
#pragma omp target teams distribute simd firstprivate(
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{expected ')'}} expected-note@+2 {{to match this '('}}
// expected-error@+1 2 {{expected expression}}
#pragma omp target teams distribute simd firstprivate(,
for (i = 0; i < 16; ++i)
;
// expected-error@+1 2 {{expected expression}}
#pragma omp target teams distribute simd firstprivate(, )
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}}
#pragma omp target teams distribute simd firstprivate()
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected expression}}
#pragma omp target teams distribute simd firstprivate(int)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{expected variable name}}
#pragma omp target teams distribute simd firstprivate(0)
for (i = 0; i < 16; ++i)
;
int x, y, z;
// expected-error@+1 {{lastprivate variable cannot be firstprivate}} expected-note@+1 {{defined as lastprivate}}
#pragma omp target teams distribute simd lastprivate(x) firstprivate(x)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 2 {{lastprivate variable cannot be firstprivate}} expected-note@+1 2 {{defined as lastprivate}}
#pragma omp target teams distribute simd lastprivate(x, y) firstprivate(x, y)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 3 {{lastprivate variable cannot be firstprivate}} expected-note@+1 3 {{defined as lastprivate}}
#pragma omp target teams distribute simd lastprivate(x, y, z) firstprivate(x, y, z)
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 target teams distribute simd simdlen(64) safelen(8)
for (i = 0; i < 16; ++i)
;
}
void test_loop_messages() {
float a[100], b[100], c[100];
// expected-error@+2 {{variable must be of integer or pointer type}}
#pragma omp target teams distribute simd
for (float fi = 0; fi < 10.0; fi++) {
c[(int)fi] = a[(int)fi] + b[(int)fi];
}
// expected-error@+2 {{variable must be of integer or pointer type}}
#pragma omp target teams distribute simd
for (double fi = 0; fi < 10.0; fi++) {
c[(int)fi] = a[(int)fi] + b[(int)fi];
}
}
void test_nontemporal() {
int i;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp target teams distribute simd'}} expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp target teams distribute simd nontemporal(
for (i = 0; i < 16; ++i)
;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp target teams distribute simd'}} expected-error@+1 2 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp target teams distribute simd nontemporal(,
for (i = 0; i < 16; ++i)
;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp target teams distribute simd'}} expected-error@+1 2 {{expected expression}}
#pragma omp target teams distribute simd nontemporal(, )
for (i = 0; i < 16; ++i)
;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp target teams distribute simd'}} expected-error@+1 {{expected expression}}
#pragma omp target teams distribute simd nontemporal()
for (i = 0; i < 16; ++i)
;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp target teams distribute simd'}} expected-error@+1 {{expected expression}}
#pragma omp target teams distribute simd nontemporal(int)
for (i = 0; i < 16; ++i)
;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp target teams distribute simd'}} omp50-error@+1 {{expected variable name}}
#pragma omp target teams distribute simd nontemporal(0)
for (i = 0; i < 16; ++i)
;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp target teams distribute simd'}} expected-error@+1 {{use of undeclared identifier 'x'}}
#pragma omp target teams distribute simd nontemporal(x)
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{use of undeclared identifier 'x'}}
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp target teams distribute simd'}} expected-error@+1 {{use of undeclared identifier 'y'}}
#pragma omp target teams distribute simd nontemporal(x, y)
for (i = 0; i < 16; ++i)
;
// expected-error@+3 {{use of undeclared identifier 'x'}}
// expected-error@+2 {{use of undeclared identifier 'y'}}
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp target teams distribute simd'}} expected-error@+1 {{use of undeclared identifier 'z'}}
#pragma omp target teams distribute simd nontemporal(x, y, z)
for (i = 0; i < 16; ++i)
;
int x, y;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp target teams distribute simd'}} expected-error@+1 {{expected ',' or ')' in 'nontemporal' clause}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp target teams distribute simd nontemporal(x :)
for (i = 0; i < 16; ++i)
;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp target teams distribute simd'}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}} expected-error@+1 {{expected ',' or ')' in 'nontemporal' clause}}
#pragma omp target teams distribute simd nontemporal(x :, )
for (i = 0; i < 16; ++i)
;
// omp50-note@+2 {{defined as nontemporal}}
// omp45-error@+1 2 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp target teams distribute simd'}} omp50-error@+1 {{a variable cannot appear in more than one nontemporal clause}}
#pragma omp target teams distribute simd nontemporal(x) nontemporal(x)
for (i = 0; i < 16; ++i)
;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp target teams distribute simd'}}
#pragma omp target teams distribute simd private(x) nontemporal(x)
for (i = 0; i < 16; ++i)
;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp target teams distribute simd'}}
#pragma omp target teams distribute simd nontemporal(x) private(x)
for (i = 0; i < 16; ++i)
;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp target teams distribute simd'}} expected-note@+1 {{to match this '('}} expected-error@+1 {{expected ',' or ')' in 'nontemporal' clause}} expected-error@+1 {{expected ')'}}
#pragma omp target teams distribute simd nontemporal(x, y : 0)
for (i = 0; i < 16; ++i)
;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp target teams distribute simd'}}
#pragma omp target teams distribute simd nontemporal(x) lastprivate(x)
for (i = 0; i < 16; ++i)
;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp target teams distribute simd'}}
#pragma omp target teams distribute simd lastprivate(x) nontemporal(x)
for (i = 0; i < 16; ++i)
;
#pragma omp target teams distribute simd order // omp45-error {{unexpected OpenMP clause 'order' in directive '#pragma omp target teams distribute simd'}} expected-error {{expected '(' after 'order'}}
for (int i = 0; i < 10; ++i)
;
#pragma omp target teams distribute simd order( // omp45-error {{unexpected OpenMP clause 'order' in directive '#pragma omp target teams distribute simd'}} expected-error {{expected ')'}} expected-note {{to match this '('}} omp50-error {{expected 'concurrent' in OpenMP clause 'order'}}
for (int i = 0; i < 10; ++i)
;
#pragma omp target teams distribute simd order(none // omp45-error {{unexpected OpenMP clause 'order' in directive '#pragma omp target teams distribute simd'}} expected-error {{expected ')'}} expected-note {{to match this '('}} omp50-error {{expected 'concurrent' in OpenMP clause 'order'}}
for (int i = 0; i < 10; ++i)
;
#pragma omp target teams distribute simd order(concurrent // omp45-error {{unexpected OpenMP clause 'order' in directive '#pragma omp target teams distribute simd'}} expected-error {{expected ')'}} expected-note {{to match this '('}}
for (int i = 0; i < 10; ++i)
;
#pragma omp target teams distribute simd order(concurrent) // omp45-error {{unexpected OpenMP clause 'order' in directive '#pragma omp target teams distribute simd'}}
for (int i = 0; i < 10; ++i)
;
}
|
hello-omp.c | /*
* Copyright (c) 2020 Martin Storsjo
*
* This file is part of llvm-mingw.
*
* Permission to use, copy, modify, and/or distribute this software for any
* purpose with or without fee is hereby granted, provided that the above
* copyright notice and this permission notice appear in all copies.
*
* THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES
* WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF
* MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR
* ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES
* WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN
* ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF
* OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.
*/
#include <stdio.h>
#include <omp.h>
int main(int argc, char *argv[]) {
#pragma omp parallel
printf("thread %d, nthreads %d\n", omp_get_thread_num(),
omp_get_num_threads());
return 0;
}
|
main.c | #include <stdio.h>
#include <stdlib.h>
#include <omp.h>
#define N 1000
#define CHUNK 10
int main()
{
int i;
#pragma omp parallel for private(i) num_threads(5) schedule(dynamic, CHUNK)
for(i = 0; i < 16; i++)
{
sleep(i);
printf("Il thread %d ha completato iterazione %d.\n", omp_get_thread_num() , i);
}
printf("Tutti i thread hanno terminato! \n");
return 0;
}
|
grad.c |
#include <stdio.h>
#include <string.h>
#include <stdint.h>
#include <omp.h>
#include <ktime.h>
#include <geometry.h>
#ifdef __USE_HW_COUNTER
#include <perf.h>
#include <kperf.h>
#endif
#include <phy.h>
/*
Calculates the residual
*/
void
compute_grad(struct grad *restrict grad)
{
#ifdef __USE_HW_COUNTER
const struct fd fd = grad->perf_counters->fd;
struct counters start;
perf_read(fd, &start);
const uint64_t icycle = __rdtsc();
#endif
struct ktime ktime;
setktime(&ktime);
const size_t bsz = grad->bsz;
const size_t dofs = grad->dofs;
const uint32_t *restrict ie = grad->ie;
const uint32_t *restrict part = grad->part;
const uint32_t *restrict n0 = grad->n0;
const uint32_t *restrict n1 = grad->n1;
const double *restrict q = grad->q;
const double *restrict w0termsx = grad->w0termsx;
const double *restrict w0termsy = grad->w0termsy;
const double *restrict w0termsz = grad->w0termsz;
const double *restrict w1termsx = grad->w1termsx;
const double *restrict w1termsy = grad->w1termsy;
const double *restrict w1termsz = grad->w1termsz;
double *restrict gradx0 = grad->gradx0;
double *restrict gradx1 = grad->gradx1;
double *restrict gradx2 = grad->gradx2;
memset(gradx0, 0, dofs * sizeof(double));
memset(gradx1, 0, dofs * sizeof(double));
memset(gradx2, 0, dofs * sizeof(double));
__assume_aligned(gradx0, 64);
__assume_aligned(gradx1, 64);
__assume_aligned(gradx2, 64);
/*
Calculates the gradients at the nodes using weighted least squares
This solves using Gram-Schmidt
*/
#pragma omp parallel
{
const uint32_t t = omp_get_thread_num();
const uint32_t ie0 = ie[t];
const uint32_t ie1 = ie[t+1];
uint32_t i;
for(i = ie0; i < ie1; i++)
{
const uint32_t node0 = n0[i];
const uint32_t node1 = n1[i];
const uint32_t idx0 = bsz * node0;
const uint32_t idx1 = bsz * node1;
double dq;
double termx;
double termy;
double termz;
if(part[node0] == t)
{
termx = w0termsx[i];
termy = w0termsy[i];
termz = w0termsz[i];
dq = q[idx1 + 0] - q[idx0 + 0];
gradx0[idx0 + 0] += termx * dq;
gradx1[idx0 + 0] += termy * dq;
gradx2[idx0 + 0] += termz * dq;
dq = q[idx1 + 1] - q[idx0 + 1];
gradx0[idx0 + 1] += termx * dq;
gradx1[idx0 + 1] += termy * dq;
gradx2[idx0 + 1] += termz * dq;
dq = q[idx1 + 2] - q[idx0 + 2];
gradx0[idx0 + 2] += termx * dq;
gradx1[idx0 + 2] += termy * dq;
gradx2[idx0 + 2] += termz * dq;
dq = q[idx1 + 3] - q[idx0 + 3];
gradx0[idx0 + 3] += termx * dq;
gradx1[idx0 + 3] += termy * dq;
gradx2[idx0 + 3] += termz * dq;
}
if(part[node1] == t)
{
termx = w1termsx[i];
termy = w1termsy[i];
termz = w1termsz[i];
dq = q[idx0 + 0] - q[idx1 + 0];
gradx0[idx1 + 0] += termx * dq;
gradx1[idx1 + 0] += termy * dq;
gradx2[idx1 + 0] += termz * dq;
dq = q[idx0 + 1] - q[idx1 + 1];
gradx0[idx1 + 1] += termx * dq;
gradx1[idx1 + 1] += termy * dq;
gradx2[idx1 + 1] += termz * dq;
dq = q[idx0 + 2] - q[idx1 + 2];
gradx0[idx1 + 2] += termx * dq;
gradx1[idx1 + 2] += termy * dq;
gradx2[idx1 + 2] += termz * dq;
dq = q[idx0 + 3] - q[idx1 + 3];
gradx0[idx1 + 3] += termx * dq;
gradx1[idx1 + 3] += termy * dq;
gradx2[idx1 + 3] += termz * dq;
}
}
}
compute_time(&ktime, grad->t);
#ifdef __USE_HW_COUNTER
const uint64_t cycle = __rdtsc() - icycle;
struct counters end;
perf_read(fd, &end);
struct tot tot;
perf_calc(start, end, &tot);
grad->perf_counters->ctrs->grad.cycles += cycle;
grad->perf_counters->ctrs->grad.tot.imcR += tot.imcR;
grad->perf_counters->ctrs->grad.tot.imcW += tot.imcW;
grad->perf_counters->ctrs->grad.tot.edcR += tot.edcR;
grad->perf_counters->ctrs->grad.tot.edcW += tot.edcW;
#endif
}
|
compare.c | /*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% CCCC OOO M M PPPP AAA RRRR EEEEE %
% C O O MM MM P P A A R R E %
% C O O M M M PPPP AAAAA RRRR EEE %
% C O O M M P A A R R E %
% CCCC OOO M M P A A R R EEEEE %
% %
% %
% MagickCore Image Comparison Methods %
% %
% Software Design %
% Cristy %
% December 2003 %
% %
% %
% Copyright 1999-2021 ImageMagick Studio LLC, a non-profit organization %
% dedicated to making software imaging solutions freely available. %
% %
% You may not use this file except in compliance with the License. You may %
% obtain a copy of the License at %
% %
% https://imagemagick.org/script/license.php %
% %
% Unless required by applicable law or agreed to in writing, software %
% distributed under the License is distributed on an "AS IS" BASIS, %
% WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. %
% See the License for the specific language governing permissions and %
% limitations under the License. %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
%
%
*/
/*
Include declarations.
*/
#include "MagickCore/studio.h"
#include "MagickCore/artifact.h"
#include "MagickCore/attribute.h"
#include "MagickCore/cache-view.h"
#include "MagickCore/channel.h"
#include "MagickCore/client.h"
#include "MagickCore/color.h"
#include "MagickCore/color-private.h"
#include "MagickCore/colorspace.h"
#include "MagickCore/colorspace-private.h"
#include "MagickCore/compare.h"
#include "MagickCore/composite-private.h"
#include "MagickCore/constitute.h"
#include "MagickCore/exception-private.h"
#include "MagickCore/geometry.h"
#include "MagickCore/image-private.h"
#include "MagickCore/list.h"
#include "MagickCore/log.h"
#include "MagickCore/memory_.h"
#include "MagickCore/monitor.h"
#include "MagickCore/monitor-private.h"
#include "MagickCore/option.h"
#include "MagickCore/pixel-accessor.h"
#include "MagickCore/property.h"
#include "MagickCore/resource_.h"
#include "MagickCore/string_.h"
#include "MagickCore/statistic.h"
#include "MagickCore/string-private.h"
#include "MagickCore/thread-private.h"
#include "MagickCore/transform.h"
#include "MagickCore/utility.h"
#include "MagickCore/version.h"
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C o m p a r e I m a g e s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% CompareImages() compares one or more pixel channels of an image to a
% reconstructed image and returns the difference image.
%
% The format of the CompareImages method is:
%
% Image *CompareImages(const Image *image,const Image *reconstruct_image,
% const MetricType metric,double *distortion,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o reconstruct_image: the reconstruct image.
%
% o metric: the metric.
%
% o distortion: the computed distortion between the images.
%
% o exception: return any errors or warnings in this structure.
%
*/
static size_t GetImageChannels(const Image *image)
{
ssize_t
i;
size_t
channels;
channels=0;
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
if ((traits & UpdatePixelTrait) != 0)
channels++;
}
return(channels == 0 ? (size_t) 1 : channels);
}
MagickExport Image *CompareImages(Image *image,const Image *reconstruct_image,
const MetricType metric,double *distortion,ExceptionInfo *exception)
{
CacheView
*highlight_view,
*image_view,
*reconstruct_view;
const char
*artifact;
double
fuzz;
Image
*clone_image,
*difference_image,
*highlight_image;
MagickBooleanType
status;
PixelInfo
highlight,
lowlight,
masklight;
RectangleInfo
geometry;
size_t
columns,
rows;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(reconstruct_image != (const Image *) NULL);
assert(reconstruct_image->signature == MagickCoreSignature);
assert(distortion != (double *) NULL);
*distortion=0.0;
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
status=GetImageDistortion(image,reconstruct_image,metric,distortion,
exception);
if (status == MagickFalse)
return((Image *) NULL);
columns=MagickMax(image->columns,reconstruct_image->columns);
rows=MagickMax(image->rows,reconstruct_image->rows);
SetGeometry(image,&geometry);
geometry.width=columns;
geometry.height=rows;
clone_image=CloneImage(image,0,0,MagickTrue,exception);
if (clone_image == (Image *) NULL)
return((Image *) NULL);
(void) SetImageMask(clone_image,ReadPixelMask,(Image *) NULL,exception);
difference_image=ExtentImage(clone_image,&geometry,exception);
clone_image=DestroyImage(clone_image);
if (difference_image == (Image *) NULL)
return((Image *) NULL);
(void) SetImageAlphaChannel(difference_image,OpaqueAlphaChannel,exception);
highlight_image=CloneImage(image,columns,rows,MagickTrue,exception);
if (highlight_image == (Image *) NULL)
{
difference_image=DestroyImage(difference_image);
return((Image *) NULL);
}
status=SetImageStorageClass(highlight_image,DirectClass,exception);
if (status == MagickFalse)
{
difference_image=DestroyImage(difference_image);
highlight_image=DestroyImage(highlight_image);
return((Image *) NULL);
}
(void) SetImageMask(highlight_image,ReadPixelMask,(Image *) NULL,exception);
(void) SetImageAlphaChannel(highlight_image,OpaqueAlphaChannel,exception);
(void) QueryColorCompliance("#f1001ecc",AllCompliance,&highlight,exception);
artifact=GetImageArtifact(image,"compare:highlight-color");
if (artifact != (const char *) NULL)
(void) QueryColorCompliance(artifact,AllCompliance,&highlight,exception);
(void) QueryColorCompliance("#ffffffcc",AllCompliance,&lowlight,exception);
artifact=GetImageArtifact(image,"compare:lowlight-color");
if (artifact != (const char *) NULL)
(void) QueryColorCompliance(artifact,AllCompliance,&lowlight,exception);
(void) QueryColorCompliance("#888888cc",AllCompliance,&masklight,exception);
artifact=GetImageArtifact(image,"compare:masklight-color");
if (artifact != (const char *) NULL)
(void) QueryColorCompliance(artifact,AllCompliance,&masklight,exception);
/*
Generate difference image.
*/
status=MagickTrue;
fuzz=GetFuzzyColorDistance(image,reconstruct_image);
image_view=AcquireVirtualCacheView(image,exception);
reconstruct_view=AcquireVirtualCacheView(reconstruct_image,exception);
highlight_view=AcquireAuthenticCacheView(highlight_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,highlight_image,rows,1)
#endif
for (y=0; y < (ssize_t) rows; y++)
{
MagickBooleanType
sync;
const Quantum
*magick_restrict p,
*magick_restrict q;
Quantum
*magick_restrict r;
ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,columns,1,exception);
q=GetCacheViewVirtualPixels(reconstruct_view,0,y,columns,1,exception);
r=QueueCacheViewAuthenticPixels(highlight_view,0,y,columns,1,exception);
if ((p == (const Quantum *) NULL) || (q == (const Quantum *) NULL) ||
(r == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) columns; x++)
{
double
Da,
Sa;
MagickStatusType
difference;
ssize_t
i;
if ((GetPixelReadMask(image,p) <= (QuantumRange/2)) ||
(GetPixelReadMask(reconstruct_image,q) <= (QuantumRange/2)))
{
SetPixelViaPixelInfo(highlight_image,&masklight,r);
p+=GetPixelChannels(image);
q+=GetPixelChannels(reconstruct_image);
r+=GetPixelChannels(highlight_image);
continue;
}
difference=MagickFalse;
Sa=QuantumScale*GetPixelAlpha(image,p);
Da=QuantumScale*GetPixelAlpha(reconstruct_image,q);
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
double
distance,
pixel;
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
PixelTrait reconstruct_traits = GetPixelChannelTraits(reconstruct_image,
channel);
if ((traits == UndefinedPixelTrait) ||
(reconstruct_traits == UndefinedPixelTrait) ||
((reconstruct_traits & UpdatePixelTrait) == 0))
continue;
if (channel == AlphaPixelChannel)
pixel=(double) p[i]-GetPixelChannel(reconstruct_image,channel,q);
else
pixel=Sa*p[i]-Da*GetPixelChannel(reconstruct_image,channel,q);
distance=pixel*pixel;
if (distance >= fuzz)
{
difference=MagickTrue;
break;
}
}
if (difference == MagickFalse)
SetPixelViaPixelInfo(highlight_image,&lowlight,r);
else
SetPixelViaPixelInfo(highlight_image,&highlight,r);
p+=GetPixelChannels(image);
q+=GetPixelChannels(reconstruct_image);
r+=GetPixelChannels(highlight_image);
}
sync=SyncCacheViewAuthenticPixels(highlight_view,exception);
if (sync == MagickFalse)
status=MagickFalse;
}
highlight_view=DestroyCacheView(highlight_view);
reconstruct_view=DestroyCacheView(reconstruct_view);
image_view=DestroyCacheView(image_view);
(void) CompositeImage(difference_image,highlight_image,image->compose,
MagickTrue,0,0,exception);
highlight_image=DestroyImage(highlight_image);
if (status == MagickFalse)
difference_image=DestroyImage(difference_image);
return(difference_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e D i s t o r t i o n %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageDistortion() compares one or more pixel channels of an image to a
% reconstructed image and returns the specified distortion metric.
%
% The format of the GetImageDistortion method is:
%
% MagickBooleanType GetImageDistortion(const Image *image,
% const Image *reconstruct_image,const MetricType metric,
% double *distortion,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o reconstruct_image: the reconstruct image.
%
% o metric: the metric.
%
% o distortion: the computed distortion between the images.
%
% o exception: return any errors or warnings in this structure.
%
*/
static MagickBooleanType GetAbsoluteDistortion(const Image *image,
const Image *reconstruct_image,double *distortion,ExceptionInfo *exception)
{
CacheView
*image_view,
*reconstruct_view;
double
fuzz;
MagickBooleanType
status;
size_t
columns,
rows;
ssize_t
y;
/*
Compute the absolute difference in pixels between two images.
*/
status=MagickTrue;
fuzz=GetFuzzyColorDistance(image,reconstruct_image);
rows=MagickMax(image->rows,reconstruct_image->rows);
columns=MagickMax(image->columns,reconstruct_image->columns);
image_view=AcquireVirtualCacheView(image,exception);
reconstruct_view=AcquireVirtualCacheView(reconstruct_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,rows,1)
#endif
for (y=0; y < (ssize_t) rows; y++)
{
double
channel_distortion[MaxPixelChannels+1];
const Quantum
*magick_restrict p,
*magick_restrict q;
ssize_t
j,
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,columns,1,exception);
q=GetCacheViewVirtualPixels(reconstruct_view,0,y,columns,1,exception);
if ((p == (const Quantum *) NULL) || (q == (const Quantum *) NULL))
{
status=MagickFalse;
continue;
}
(void) memset(channel_distortion,0,sizeof(channel_distortion));
for (x=0; x < (ssize_t) columns; x++)
{
double
Da,
Sa;
MagickBooleanType
difference;
ssize_t
i;
if ((GetPixelReadMask(image,p) <= (QuantumRange/2)) ||
(GetPixelReadMask(reconstruct_image,q) <= (QuantumRange/2)))
{
p+=GetPixelChannels(image);
q+=GetPixelChannels(reconstruct_image);
continue;
}
difference=MagickFalse;
Sa=QuantumScale*GetPixelAlpha(image,p);
Da=QuantumScale*GetPixelAlpha(reconstruct_image,q);
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
double
distance,
pixel;
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
PixelTrait reconstruct_traits = GetPixelChannelTraits(reconstruct_image,
channel);
if ((traits == UndefinedPixelTrait) ||
(reconstruct_traits == UndefinedPixelTrait) ||
((reconstruct_traits & UpdatePixelTrait) == 0))
continue;
if (channel == AlphaPixelChannel)
pixel=(double) p[i]-GetPixelChannel(reconstruct_image,channel,q);
else
pixel=Sa*p[i]-Da*GetPixelChannel(reconstruct_image,channel,q);
distance=pixel*pixel;
if (distance >= fuzz)
{
channel_distortion[i]++;
difference=MagickTrue;
}
}
if (difference != MagickFalse)
channel_distortion[CompositePixelChannel]++;
p+=GetPixelChannels(image);
q+=GetPixelChannels(reconstruct_image);
}
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_GetAbsoluteDistortion)
#endif
for (j=0; j <= MaxPixelChannels; j++)
distortion[j]+=channel_distortion[j];
}
reconstruct_view=DestroyCacheView(reconstruct_view);
image_view=DestroyCacheView(image_view);
return(status);
}
static MagickBooleanType GetFuzzDistortion(const Image *image,
const Image *reconstruct_image,double *distortion,ExceptionInfo *exception)
{
CacheView
*image_view,
*reconstruct_view;
double
area;
MagickBooleanType
status;
ssize_t
j;
size_t
columns,
rows;
ssize_t
y;
status=MagickTrue;
rows=MagickMax(image->rows,reconstruct_image->rows);
columns=MagickMax(image->columns,reconstruct_image->columns);
area=0.0;
image_view=AcquireVirtualCacheView(image,exception);
reconstruct_view=AcquireVirtualCacheView(reconstruct_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,rows,1) reduction(+:area)
#endif
for (y=0; y < (ssize_t) rows; y++)
{
double
channel_distortion[MaxPixelChannels+1];
const Quantum
*magick_restrict p,
*magick_restrict q;
ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,columns,1,exception);
q=GetCacheViewVirtualPixels(reconstruct_view,0,y,columns,1,exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
(void) memset(channel_distortion,0,sizeof(channel_distortion));
for (x=0; x < (ssize_t) columns; x++)
{
double
Da,
Sa;
ssize_t
i;
if ((GetPixelReadMask(image,p) <= (QuantumRange/2)) ||
(GetPixelReadMask(reconstruct_image,q) <= (QuantumRange/2)))
{
p+=GetPixelChannels(image);
q+=GetPixelChannels(reconstruct_image);
continue;
}
Sa=QuantumScale*GetPixelAlpha(image,p);
Da=QuantumScale*GetPixelAlpha(reconstruct_image,q);
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
double
distance;
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
PixelTrait reconstruct_traits = GetPixelChannelTraits(reconstruct_image,
channel);
if ((traits == UndefinedPixelTrait) ||
(reconstruct_traits == UndefinedPixelTrait) ||
((reconstruct_traits & UpdatePixelTrait) == 0))
continue;
if (channel == AlphaPixelChannel)
distance=QuantumScale*(p[i]-GetPixelChannel(reconstruct_image,
channel,q));
else
distance=QuantumScale*(Sa*p[i]-Da*GetPixelChannel(reconstruct_image,
channel,q));
channel_distortion[i]+=distance*distance;
channel_distortion[CompositePixelChannel]+=distance*distance;
}
area++;
p+=GetPixelChannels(image);
q+=GetPixelChannels(reconstruct_image);
}
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_GetFuzzDistortion)
#endif
for (j=0; j <= MaxPixelChannels; j++)
distortion[j]+=channel_distortion[j];
}
reconstruct_view=DestroyCacheView(reconstruct_view);
image_view=DestroyCacheView(image_view);
area=PerceptibleReciprocal(area);
for (j=0; j <= MaxPixelChannels; j++)
distortion[j]*=area;
distortion[CompositePixelChannel]/=(double) GetImageChannels(image);
distortion[CompositePixelChannel]=sqrt(distortion[CompositePixelChannel]);
return(status);
}
static MagickBooleanType GetMeanAbsoluteDistortion(const Image *image,
const Image *reconstruct_image,double *distortion,ExceptionInfo *exception)
{
CacheView
*image_view,
*reconstruct_view;
double
area;
MagickBooleanType
status;
ssize_t
j;
size_t
columns,
rows;
ssize_t
y;
status=MagickTrue;
rows=MagickMax(image->rows,reconstruct_image->rows);
columns=MagickMax(image->columns,reconstruct_image->columns);
area=0.0;
image_view=AcquireVirtualCacheView(image,exception);
reconstruct_view=AcquireVirtualCacheView(reconstruct_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,rows,1) reduction(+:area)
#endif
for (y=0; y < (ssize_t) rows; y++)
{
double
channel_distortion[MaxPixelChannels+1];
const Quantum
*magick_restrict p,
*magick_restrict q;
ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,columns,1,exception);
q=GetCacheViewVirtualPixels(reconstruct_view,0,y,columns,1,exception);
if ((p == (const Quantum *) NULL) || (q == (const Quantum *) NULL))
{
status=MagickFalse;
continue;
}
(void) memset(channel_distortion,0,sizeof(channel_distortion));
for (x=0; x < (ssize_t) columns; x++)
{
double
Da,
Sa;
ssize_t
i;
if ((GetPixelReadMask(image,p) <= (QuantumRange/2)) ||
(GetPixelReadMask(reconstruct_image,q) <= (QuantumRange/2)))
{
p+=GetPixelChannels(image);
q+=GetPixelChannels(reconstruct_image);
continue;
}
Sa=QuantumScale*GetPixelAlpha(image,p);
Da=QuantumScale*GetPixelAlpha(reconstruct_image,q);
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
double
distance;
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
PixelTrait reconstruct_traits = GetPixelChannelTraits(reconstruct_image,
channel);
if ((traits == UndefinedPixelTrait) ||
(reconstruct_traits == UndefinedPixelTrait) ||
((reconstruct_traits & UpdatePixelTrait) == 0))
continue;
if (channel == AlphaPixelChannel)
distance=QuantumScale*fabs((double) (p[i]-(double)
GetPixelChannel(reconstruct_image,channel,q)));
else
distance=QuantumScale*fabs((double) (Sa*p[i]-Da*
GetPixelChannel(reconstruct_image,channel,q)));
channel_distortion[i]+=distance;
channel_distortion[CompositePixelChannel]+=distance;
}
area++;
p+=GetPixelChannels(image);
q+=GetPixelChannels(reconstruct_image);
}
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_GetMeanAbsoluteError)
#endif
for (j=0; j <= MaxPixelChannels; j++)
distortion[j]+=channel_distortion[j];
}
reconstruct_view=DestroyCacheView(reconstruct_view);
image_view=DestroyCacheView(image_view);
area=PerceptibleReciprocal(area);
for (j=0; j <= MaxPixelChannels; j++)
distortion[j]*=area;
distortion[CompositePixelChannel]/=(double) GetImageChannels(image);
return(status);
}
static MagickBooleanType GetMeanErrorPerPixel(Image *image,
const Image *reconstruct_image,double *distortion,ExceptionInfo *exception)
{
CacheView
*image_view,
*reconstruct_view;
MagickBooleanType
status;
double
area,
maximum_error,
mean_error;
size_t
columns,
rows;
ssize_t
y;
status=MagickTrue;
area=0.0;
maximum_error=0.0;
mean_error=0.0;
rows=MagickMax(image->rows,reconstruct_image->rows);
columns=MagickMax(image->columns,reconstruct_image->columns);
image_view=AcquireVirtualCacheView(image,exception);
reconstruct_view=AcquireVirtualCacheView(reconstruct_image,exception);
for (y=0; y < (ssize_t) rows; y++)
{
const Quantum
*magick_restrict p,
*magick_restrict q;
ssize_t
x;
p=GetCacheViewVirtualPixels(image_view,0,y,columns,1,exception);
q=GetCacheViewVirtualPixels(reconstruct_view,0,y,columns,1,exception);
if ((p == (const Quantum *) NULL) || (q == (const Quantum *) NULL))
{
status=MagickFalse;
break;
}
for (x=0; x < (ssize_t) columns; x++)
{
double
Da,
Sa;
ssize_t
i;
if ((GetPixelReadMask(image,p) <= (QuantumRange/2)) ||
(GetPixelReadMask(reconstruct_image,q) <= (QuantumRange/2)))
{
p+=GetPixelChannels(image);
q+=GetPixelChannels(reconstruct_image);
continue;
}
Sa=QuantumScale*GetPixelAlpha(image,p);
Da=QuantumScale*GetPixelAlpha(reconstruct_image,q);
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
double
distance;
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
PixelTrait reconstruct_traits = GetPixelChannelTraits(reconstruct_image,
channel);
if ((traits == UndefinedPixelTrait) ||
(reconstruct_traits == UndefinedPixelTrait) ||
((reconstruct_traits & UpdatePixelTrait) == 0))
continue;
if (channel == AlphaPixelChannel)
distance=fabs((double) (p[i]-(double)
GetPixelChannel(reconstruct_image,channel,q)));
else
distance=fabs((double) (Sa*p[i]-Da*
GetPixelChannel(reconstruct_image,channel,q)));
distortion[i]+=distance;
distortion[CompositePixelChannel]+=distance;
mean_error+=distance*distance;
if (distance > maximum_error)
maximum_error=distance;
area++;
}
p+=GetPixelChannels(image);
q+=GetPixelChannels(reconstruct_image);
}
}
reconstruct_view=DestroyCacheView(reconstruct_view);
image_view=DestroyCacheView(image_view);
area=PerceptibleReciprocal(area);
image->error.mean_error_per_pixel=area*distortion[CompositePixelChannel];
image->error.normalized_mean_error=area*QuantumScale*QuantumScale*mean_error;
image->error.normalized_maximum_error=QuantumScale*maximum_error;
return(status);
}
static MagickBooleanType GetMeanSquaredDistortion(const Image *image,
const Image *reconstruct_image,double *distortion,ExceptionInfo *exception)
{
CacheView
*image_view,
*reconstruct_view;
double
area;
MagickBooleanType
status;
ssize_t
j;
size_t
columns,
rows;
ssize_t
y;
status=MagickTrue;
rows=MagickMax(image->rows,reconstruct_image->rows);
columns=MagickMax(image->columns,reconstruct_image->columns);
area=0.0;
image_view=AcquireVirtualCacheView(image,exception);
reconstruct_view=AcquireVirtualCacheView(reconstruct_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,rows,1) reduction(+:area)
#endif
for (y=0; y < (ssize_t) rows; y++)
{
double
channel_distortion[MaxPixelChannels+1];
const Quantum
*magick_restrict p,
*magick_restrict q;
ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,columns,1,exception);
q=GetCacheViewVirtualPixels(reconstruct_view,0,y,columns,1,exception);
if ((p == (const Quantum *) NULL) || (q == (const Quantum *) NULL))
{
status=MagickFalse;
continue;
}
(void) memset(channel_distortion,0,sizeof(channel_distortion));
for (x=0; x < (ssize_t) columns; x++)
{
double
Da,
Sa;
ssize_t
i;
if ((GetPixelReadMask(image,p) <= (QuantumRange/2)) ||
(GetPixelReadMask(reconstruct_image,q) <= (QuantumRange/2)))
{
p+=GetPixelChannels(image);
q+=GetPixelChannels(reconstruct_image);
continue;
}
Sa=QuantumScale*GetPixelAlpha(image,p);
Da=QuantumScale*GetPixelAlpha(reconstruct_image,q);
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
double
distance;
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
PixelTrait reconstruct_traits = GetPixelChannelTraits(reconstruct_image,
channel);
if ((traits == UndefinedPixelTrait) ||
(reconstruct_traits == UndefinedPixelTrait) ||
((reconstruct_traits & UpdatePixelTrait) == 0))
continue;
if (channel == AlphaPixelChannel)
distance=QuantumScale*(p[i]-GetPixelChannel(reconstruct_image,
channel,q));
else
distance=QuantumScale*(Sa*p[i]-Da*GetPixelChannel(reconstruct_image,
channel,q));
channel_distortion[i]+=distance*distance;
channel_distortion[CompositePixelChannel]+=distance*distance;
}
area++;
p+=GetPixelChannels(image);
q+=GetPixelChannels(reconstruct_image);
}
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_GetMeanSquaredError)
#endif
for (j=0; j <= MaxPixelChannels; j++)
distortion[j]+=channel_distortion[j];
}
reconstruct_view=DestroyCacheView(reconstruct_view);
image_view=DestroyCacheView(image_view);
area=PerceptibleReciprocal(area);
for (j=0; j <= MaxPixelChannels; j++)
distortion[j]*=area;
distortion[CompositePixelChannel]/=GetImageChannels(image);
return(status);
}
static MagickBooleanType GetNormalizedCrossCorrelationDistortion(
const Image *image,const Image *reconstruct_image,double *distortion,
ExceptionInfo *exception)
{
#define SimilarityImageTag "Similarity/Image"
CacheView
*image_view,
*reconstruct_view;
ChannelStatistics
*image_statistics,
*reconstruct_statistics;
double
area;
MagickBooleanType
status;
MagickOffsetType
progress;
ssize_t
i;
size_t
columns,
rows;
ssize_t
y;
/*
Normalize to account for variation due to lighting and exposure condition.
*/
image_statistics=GetImageStatistics(image,exception);
reconstruct_statistics=GetImageStatistics(reconstruct_image,exception);
if ((image_statistics == (ChannelStatistics *) NULL) ||
(reconstruct_statistics == (ChannelStatistics *) NULL))
{
if (image_statistics != (ChannelStatistics *) NULL)
image_statistics=(ChannelStatistics *) RelinquishMagickMemory(
image_statistics);
if (reconstruct_statistics != (ChannelStatistics *) NULL)
reconstruct_statistics=(ChannelStatistics *) RelinquishMagickMemory(
reconstruct_statistics);
return(MagickFalse);
}
status=MagickTrue;
progress=0;
for (i=0; i <= MaxPixelChannels; i++)
distortion[i]=0.0;
rows=MagickMax(image->rows,reconstruct_image->rows);
columns=MagickMax(image->columns,reconstruct_image->columns);
area=0.0;
image_view=AcquireVirtualCacheView(image,exception);
reconstruct_view=AcquireVirtualCacheView(reconstruct_image,exception);
for (y=0; y < (ssize_t) rows; y++)
{
const Quantum
*magick_restrict p,
*magick_restrict q;
ssize_t
x;
p=GetCacheViewVirtualPixels(image_view,0,y,columns,1,exception);
q=GetCacheViewVirtualPixels(reconstruct_view,0,y,columns,1,exception);
if ((p == (const Quantum *) NULL) || (q == (const Quantum *) NULL))
{
status=MagickFalse;
break;
}
for (x=0; x < (ssize_t) columns; x++)
{
if ((GetPixelReadMask(image,p) <= (QuantumRange/2)) ||
(GetPixelReadMask(reconstruct_image,q) <= (QuantumRange/2)))
{
p+=GetPixelChannels(image);
q+=GetPixelChannels(reconstruct_image);
continue;
}
area++;
p+=GetPixelChannels(image);
q+=GetPixelChannels(reconstruct_image);
}
}
area=PerceptibleReciprocal(area);
for (y=0; y < (ssize_t) rows; y++)
{
const Quantum
*magick_restrict p,
*magick_restrict q;
ssize_t
x;
p=GetCacheViewVirtualPixels(image_view,0,y,columns,1,exception);
q=GetCacheViewVirtualPixels(reconstruct_view,0,y,columns,1,exception);
if ((p == (const Quantum *) NULL) || (q == (const Quantum *) NULL))
{
status=MagickFalse;
break;
}
for (x=0; x < (ssize_t) columns; x++)
{
double
Da,
Sa;
if ((GetPixelReadMask(image,p) <= (QuantumRange/2)) ||
(GetPixelReadMask(reconstruct_image,q) <= (QuantumRange/2)))
{
p+=GetPixelChannels(image);
q+=GetPixelChannels(reconstruct_image);
continue;
}
Sa=QuantumScale*GetPixelAlpha(image,p);
Da=QuantumScale*GetPixelAlpha(reconstruct_image,q);
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
PixelTrait reconstruct_traits = GetPixelChannelTraits(reconstruct_image,
channel);
if ((traits == UndefinedPixelTrait) ||
(reconstruct_traits == UndefinedPixelTrait) ||
((reconstruct_traits & UpdatePixelTrait) == 0))
continue;
if (channel == AlphaPixelChannel)
{
distortion[i]+=area*QuantumScale*(p[i]-
image_statistics[channel].mean)*(GetPixelChannel(
reconstruct_image,channel,q)-
reconstruct_statistics[channel].mean);
}
else
{
distortion[i]+=area*QuantumScale*(Sa*p[i]-
image_statistics[channel].mean)*(Da*GetPixelChannel(
reconstruct_image,channel,q)-
reconstruct_statistics[channel].mean);
}
}
p+=GetPixelChannels(image);
q+=GetPixelChannels(reconstruct_image);
}
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,SimilarityImageTag,progress,rows);
if (proceed == MagickFalse)
{
status=MagickFalse;
break;
}
}
}
reconstruct_view=DestroyCacheView(reconstruct_view);
image_view=DestroyCacheView(image_view);
/*
Divide by the standard deviation.
*/
distortion[CompositePixelChannel]=0.0;
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
double
gamma;
PixelChannel channel = GetPixelChannelChannel(image,i);
gamma=image_statistics[channel].standard_deviation*
reconstruct_statistics[channel].standard_deviation;
gamma=PerceptibleReciprocal(gamma);
distortion[i]=QuantumRange*gamma*distortion[i];
distortion[CompositePixelChannel]+=distortion[i]*distortion[i];
}
distortion[CompositePixelChannel]=sqrt(distortion[CompositePixelChannel]/
GetImageChannels(image));
/*
Free resources.
*/
reconstruct_statistics=(ChannelStatistics *) RelinquishMagickMemory(
reconstruct_statistics);
image_statistics=(ChannelStatistics *) RelinquishMagickMemory(
image_statistics);
return(status);
}
static MagickBooleanType GetPeakAbsoluteDistortion(const Image *image,
const Image *reconstruct_image,double *distortion,ExceptionInfo *exception)
{
CacheView
*image_view,
*reconstruct_view;
MagickBooleanType
status;
size_t
columns,
rows;
ssize_t
y;
status=MagickTrue;
rows=MagickMax(image->rows,reconstruct_image->rows);
columns=MagickMax(image->columns,reconstruct_image->columns);
image_view=AcquireVirtualCacheView(image,exception);
reconstruct_view=AcquireVirtualCacheView(reconstruct_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,rows,1)
#endif
for (y=0; y < (ssize_t) rows; y++)
{
double
channel_distortion[MaxPixelChannels+1];
const Quantum
*magick_restrict p,
*magick_restrict q;
ssize_t
j,
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,columns,1,exception);
q=GetCacheViewVirtualPixels(reconstruct_view,0,y,columns,1,exception);
if ((p == (const Quantum *) NULL) || (q == (const Quantum *) NULL))
{
status=MagickFalse;
continue;
}
(void) memset(channel_distortion,0,sizeof(channel_distortion));
for (x=0; x < (ssize_t) columns; x++)
{
double
Da,
Sa;
ssize_t
i;
if ((GetPixelReadMask(image,p) <= (QuantumRange/2)) ||
(GetPixelReadMask(reconstruct_image,q) <= (QuantumRange/2)))
{
p+=GetPixelChannels(image);
q+=GetPixelChannels(reconstruct_image);
continue;
}
Sa=QuantumScale*GetPixelAlpha(image,p);
Da=QuantumScale*GetPixelAlpha(reconstruct_image,q);
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
double
distance;
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
PixelTrait reconstruct_traits = GetPixelChannelTraits(reconstruct_image,
channel);
if ((traits == UndefinedPixelTrait) ||
(reconstruct_traits == UndefinedPixelTrait) ||
((reconstruct_traits & UpdatePixelTrait) == 0))
continue;
if (channel == AlphaPixelChannel)
distance=QuantumScale*fabs((double) (p[i]-(double)
GetPixelChannel(reconstruct_image,channel,q)));
else
distance=QuantumScale*fabs((double) (Sa*p[i]-Da*
GetPixelChannel(reconstruct_image,channel,q)));
if (distance > channel_distortion[i])
channel_distortion[i]=distance;
if (distance > channel_distortion[CompositePixelChannel])
channel_distortion[CompositePixelChannel]=distance;
}
p+=GetPixelChannels(image);
q+=GetPixelChannels(reconstruct_image);
}
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_GetPeakAbsoluteError)
#endif
for (j=0; j <= MaxPixelChannels; j++)
if (channel_distortion[j] > distortion[j])
distortion[j]=channel_distortion[j];
}
reconstruct_view=DestroyCacheView(reconstruct_view);
image_view=DestroyCacheView(image_view);
return(status);
}
static inline double MagickLog10(const double x)
{
#define Log10Epsilon (1.0e-11)
if (fabs(x) < Log10Epsilon)
return(log10(Log10Epsilon));
return(log10(fabs(x)));
}
static MagickBooleanType GetPeakSignalToNoiseRatio(const Image *image,
const Image *reconstruct_image,double *distortion,ExceptionInfo *exception)
{
MagickBooleanType
status;
ssize_t
i;
status=GetMeanSquaredDistortion(image,reconstruct_image,distortion,exception);
for (i=0; i <= MaxPixelChannels; i++)
if (fabs(distortion[i]) < MagickEpsilon)
distortion[i]=INFINITY;
else
distortion[i]=10.0*MagickLog10(1.0)-10.0*MagickLog10(distortion[i]);
return(status);
}
static MagickBooleanType GetPerceptualHashDistortion(const Image *image,
const Image *reconstruct_image,double *distortion,ExceptionInfo *exception)
{
ChannelPerceptualHash
*channel_phash,
*reconstruct_phash;
const char
*artifact;
MagickBooleanType
normalize;
ssize_t
channel;
/*
Compute perceptual hash in the sRGB colorspace.
*/
channel_phash=GetImagePerceptualHash(image,exception);
if (channel_phash == (ChannelPerceptualHash *) NULL)
return(MagickFalse);
reconstruct_phash=GetImagePerceptualHash(reconstruct_image,exception);
if (reconstruct_phash == (ChannelPerceptualHash *) NULL)
{
channel_phash=(ChannelPerceptualHash *) RelinquishMagickMemory(
channel_phash);
return(MagickFalse);
}
artifact=GetImageArtifact(image,"phash:normalize");
normalize=(artifact == (const char *) NULL) ||
(IsStringTrue(artifact) == MagickFalse) ? MagickFalse : MagickTrue;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static)
#endif
for (channel=0; channel < MaxPixelChannels; channel++)
{
double
difference;
ssize_t
i;
difference=0.0;
for (i=0; i < MaximumNumberOfImageMoments; i++)
{
double
alpha,
beta;
ssize_t
j;
for (j=0; j < (ssize_t) channel_phash[0].number_colorspaces; j++)
{
alpha=channel_phash[channel].phash[j][i];
beta=reconstruct_phash[channel].phash[j][i];
if (normalize == MagickFalse)
difference+=(beta-alpha)*(beta-alpha);
else
difference=sqrt((beta-alpha)*(beta-alpha)/
channel_phash[0].number_channels);
}
}
distortion[channel]+=difference;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_GetPerceptualHashDistortion)
#endif
distortion[CompositePixelChannel]+=difference;
}
/*
Free resources.
*/
reconstruct_phash=(ChannelPerceptualHash *) RelinquishMagickMemory(
reconstruct_phash);
channel_phash=(ChannelPerceptualHash *) RelinquishMagickMemory(channel_phash);
return(MagickTrue);
}
static MagickBooleanType GetRootMeanSquaredDistortion(const Image *image,
const Image *reconstruct_image,double *distortion,ExceptionInfo *exception)
{
MagickBooleanType
status;
ssize_t
i;
status=GetMeanSquaredDistortion(image,reconstruct_image,distortion,exception);
for (i=0; i <= MaxPixelChannels; i++)
distortion[i]=sqrt(distortion[i]);
return(status);
}
static MagickBooleanType GetStructuralSimilarityDistortion(const Image *image,
const Image *reconstruct_image,double *distortion,ExceptionInfo *exception)
{
#define SSIMRadius 5.0
#define SSIMSigma 1.5
#define SSIMBlocksize 8
#define SSIMK1 0.01
#define SSIMK2 0.03
#define SSIML 1.0
CacheView
*image_view,
*reconstruct_view;
char
geometry[MagickPathExtent];
const char
*artifact;
double
area,
c1,
c2,
radius,
sigma;
KernelInfo
*kernel_info;
MagickBooleanType
status;
ssize_t
i;
size_t
columns,
rows;
ssize_t
y;
/*
Compute structural similarity index @
https://en.wikipedia.org/wiki/Structural_similarity.
*/
radius=SSIMRadius;
artifact=GetImageArtifact(image,"compare:ssim-radius");
if (artifact != (const char *) NULL)
radius=StringToDouble(artifact,(char **) NULL);
sigma=SSIMSigma;
artifact=GetImageArtifact(image,"compare:ssim-sigma");
if (artifact != (const char *) NULL)
sigma=StringToDouble(artifact,(char **) NULL);
(void) FormatLocaleString(geometry,MagickPathExtent,"gaussian:%.20gx%.20g",
radius,sigma);
kernel_info=AcquireKernelInfo(geometry,exception);
if (kernel_info == (KernelInfo *) NULL)
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
c1=pow(SSIMK1*SSIML,2.0);
artifact=GetImageArtifact(image,"compare:ssim-k1");
if (artifact != (const char *) NULL)
c1=pow(StringToDouble(artifact,(char **) NULL)*SSIML,2.0);
c2=pow(SSIMK2*SSIML,2.0);
artifact=GetImageArtifact(image,"compare:ssim-k2");
if (artifact != (const char *) NULL)
c2=pow(StringToDouble(artifact,(char **) NULL)*SSIML,2.0);
status=MagickTrue;
area=0.0;
rows=MagickMax(image->rows,reconstruct_image->rows);
columns=MagickMax(image->columns,reconstruct_image->columns);
image_view=AcquireVirtualCacheView(image,exception);
reconstruct_view=AcquireVirtualCacheView(reconstruct_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,reconstruct_image,rows,1)
#endif
for (y=0; y < (ssize_t) rows; y++)
{
double
channel_distortion[MaxPixelChannels+1];
const Quantum
*magick_restrict p,
*magick_restrict q;
ssize_t
i,
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,-((ssize_t) kernel_info->width/2L),y-
((ssize_t) kernel_info->height/2L),columns+kernel_info->width,
kernel_info->height,exception);
q=GetCacheViewVirtualPixels(reconstruct_view,-((ssize_t) kernel_info->width/
2L),y-((ssize_t) kernel_info->height/2L),columns+kernel_info->width,
kernel_info->height,exception);
if ((p == (const Quantum *) NULL) || (q == (const Quantum *) NULL))
{
status=MagickFalse;
continue;
}
(void) memset(channel_distortion,0,sizeof(channel_distortion));
for (x=0; x < (ssize_t) columns; x++)
{
double
x_pixel_mu[MaxPixelChannels+1],
x_pixel_sigma_squared[MaxPixelChannels+1],
xy_sigma[MaxPixelChannels+1],
y_pixel_mu[MaxPixelChannels+1],
y_pixel_sigma_squared[MaxPixelChannels+1];
const Quantum
*magick_restrict reference,
*magick_restrict target;
MagickRealType
*k;
ssize_t
v;
if ((GetPixelReadMask(image,p) <= (QuantumRange/2)) ||
(GetPixelReadMask(reconstruct_image,q) <= (QuantumRange/2)))
{
p+=GetPixelChannels(image);
q+=GetPixelChannels(reconstruct_image);
continue;
}
(void) memset(x_pixel_mu,0,sizeof(x_pixel_mu));
(void) memset(x_pixel_sigma_squared,0,sizeof(x_pixel_sigma_squared));
(void) memset(xy_sigma,0,sizeof(xy_sigma));
(void) memset(x_pixel_sigma_squared,0,sizeof(y_pixel_sigma_squared));
(void) memset(y_pixel_mu,0,sizeof(y_pixel_mu));
(void) memset(y_pixel_sigma_squared,0,sizeof(y_pixel_sigma_squared));
k=kernel_info->values;
reference=p;
target=q;
for (v=0; v < (ssize_t) kernel_info->height; v++)
{
ssize_t
u;
for (u=0; u < (ssize_t) kernel_info->width; u++)
{
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
double
x_pixel,
y_pixel;
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
PixelTrait reconstruct_traits = GetPixelChannelTraits(
reconstruct_image,channel);
if ((traits == UndefinedPixelTrait) ||
(reconstruct_traits == UndefinedPixelTrait) ||
((reconstruct_traits & UpdatePixelTrait) == 0))
continue;
x_pixel=QuantumScale*reference[i];
x_pixel_mu[i]+=(*k)*x_pixel;
x_pixel_sigma_squared[i]+=(*k)*x_pixel*x_pixel;
y_pixel=QuantumScale*
GetPixelChannel(reconstruct_image,channel,target);
y_pixel_mu[i]+=(*k)*y_pixel;
y_pixel_sigma_squared[i]+=(*k)*y_pixel*y_pixel;
xy_sigma[i]+=(*k)*x_pixel*y_pixel;
}
k++;
reference+=GetPixelChannels(image);
target+=GetPixelChannels(reconstruct_image);
}
reference+=GetPixelChannels(image)*columns;
target+=GetPixelChannels(reconstruct_image)*columns;
}
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
double
ssim,
x_pixel_mu_squared,
x_pixel_sigmas_squared,
xy_mu,
xy_sigmas,
y_pixel_mu_squared,
y_pixel_sigmas_squared;
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
PixelTrait reconstruct_traits = GetPixelChannelTraits(
reconstruct_image,channel);
if ((traits == UndefinedPixelTrait) ||
(reconstruct_traits == UndefinedPixelTrait) ||
((reconstruct_traits & UpdatePixelTrait) == 0))
continue;
x_pixel_mu_squared=x_pixel_mu[i]*x_pixel_mu[i];
y_pixel_mu_squared=y_pixel_mu[i]*y_pixel_mu[i];
xy_mu=x_pixel_mu[i]*y_pixel_mu[i];
xy_sigmas=xy_sigma[i]-xy_mu;
x_pixel_sigmas_squared=x_pixel_sigma_squared[i]-x_pixel_mu_squared;
y_pixel_sigmas_squared=y_pixel_sigma_squared[i]-y_pixel_mu_squared;
ssim=((2.0*xy_mu+c1)*(2.0*xy_sigmas+c2))/
((x_pixel_mu_squared+y_pixel_mu_squared+c1)*
(x_pixel_sigmas_squared+y_pixel_sigmas_squared+c2));
channel_distortion[i]+=ssim;
channel_distortion[CompositePixelChannel]+=ssim;
}
p+=GetPixelChannels(image);
q+=GetPixelChannels(reconstruct_image);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
area++;
}
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_GetStructuralSimilarityDistortion)
#endif
for (i=0; i <= MaxPixelChannels; i++)
distortion[i]+=channel_distortion[i];
}
image_view=DestroyCacheView(image_view);
reconstruct_view=DestroyCacheView(reconstruct_view);
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
if ((traits == UndefinedPixelTrait) || ((traits & UpdatePixelTrait) == 0))
continue;
distortion[i]/=area;
}
distortion[CompositePixelChannel]/=area;
distortion[CompositePixelChannel]/=(double) GetImageChannels(image);
kernel_info=DestroyKernelInfo(kernel_info);
return(status);
}
static MagickBooleanType GetStructuralDisimilarityDistortion(const Image *image,
const Image *reconstruct_image,double *distortion,ExceptionInfo *exception)
{
MagickBooleanType
status;
ssize_t
i;
status=GetStructuralSimilarityDistortion(image,reconstruct_image,
distortion,exception);
for (i=0; i <= MaxPixelChannels; i++)
distortion[i]=(1.0-(distortion[i]))/2.0;
return(status);
}
MagickExport MagickBooleanType GetImageDistortion(Image *image,
const Image *reconstruct_image,const MetricType metric,double *distortion,
ExceptionInfo *exception)
{
double
*channel_distortion;
MagickBooleanType
status;
size_t
length;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(reconstruct_image != (const Image *) NULL);
assert(reconstruct_image->signature == MagickCoreSignature);
assert(distortion != (double *) NULL);
*distortion=0.0;
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
/*
Get image distortion.
*/
length=MaxPixelChannels+1UL;
channel_distortion=(double *) AcquireQuantumMemory(length,
sizeof(*channel_distortion));
if (channel_distortion == (double *) NULL)
ThrowFatalException(ResourceLimitFatalError,"MemoryAllocationFailed");
(void) memset(channel_distortion,0,length*
sizeof(*channel_distortion));
switch (metric)
{
case AbsoluteErrorMetric:
{
status=GetAbsoluteDistortion(image,reconstruct_image,channel_distortion,
exception);
break;
}
case FuzzErrorMetric:
{
status=GetFuzzDistortion(image,reconstruct_image,channel_distortion,
exception);
break;
}
case MeanAbsoluteErrorMetric:
{
status=GetMeanAbsoluteDistortion(image,reconstruct_image,
channel_distortion,exception);
break;
}
case MeanErrorPerPixelErrorMetric:
{
status=GetMeanErrorPerPixel(image,reconstruct_image,channel_distortion,
exception);
break;
}
case MeanSquaredErrorMetric:
{
status=GetMeanSquaredDistortion(image,reconstruct_image,
channel_distortion,exception);
break;
}
case NormalizedCrossCorrelationErrorMetric:
default:
{
status=GetNormalizedCrossCorrelationDistortion(image,reconstruct_image,
channel_distortion,exception);
break;
}
case PeakAbsoluteErrorMetric:
{
status=GetPeakAbsoluteDistortion(image,reconstruct_image,
channel_distortion,exception);
break;
}
case PeakSignalToNoiseRatioErrorMetric:
{
status=GetPeakSignalToNoiseRatio(image,reconstruct_image,
channel_distortion,exception);
break;
}
case PerceptualHashErrorMetric:
{
status=GetPerceptualHashDistortion(image,reconstruct_image,
channel_distortion,exception);
break;
}
case RootMeanSquaredErrorMetric:
{
status=GetRootMeanSquaredDistortion(image,reconstruct_image,
channel_distortion,exception);
break;
}
case StructuralSimilarityErrorMetric:
{
status=GetStructuralSimilarityDistortion(image,reconstruct_image,
channel_distortion,exception);
break;
}
case StructuralDissimilarityErrorMetric:
{
status=GetStructuralDisimilarityDistortion(image,reconstruct_image,
channel_distortion,exception);
break;
}
}
*distortion=channel_distortion[CompositePixelChannel];
channel_distortion=(double *) RelinquishMagickMemory(channel_distortion);
(void) FormatImageProperty(image,"distortion","%.*g",GetMagickPrecision(),
*distortion);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e D i s t o r t i o n s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageDistortions() compares the pixel channels of an image to a
% reconstructed image and returns the specified distortion metric for each
% channel.
%
% The format of the GetImageDistortions method is:
%
% double *GetImageDistortions(const Image *image,
% const Image *reconstruct_image,const MetricType metric,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o reconstruct_image: the reconstruct image.
%
% o metric: the metric.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport double *GetImageDistortions(Image *image,
const Image *reconstruct_image,const MetricType metric,
ExceptionInfo *exception)
{
double
*channel_distortion;
MagickBooleanType
status;
size_t
length;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(reconstruct_image != (const Image *) NULL);
assert(reconstruct_image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
/*
Get image distortion.
*/
length=MaxPixelChannels+1UL;
channel_distortion=(double *) AcquireQuantumMemory(length,
sizeof(*channel_distortion));
if (channel_distortion == (double *) NULL)
ThrowFatalException(ResourceLimitFatalError,"MemoryAllocationFailed");
(void) memset(channel_distortion,0,length*
sizeof(*channel_distortion));
status=MagickTrue;
switch (metric)
{
case AbsoluteErrorMetric:
{
status=GetAbsoluteDistortion(image,reconstruct_image,channel_distortion,
exception);
break;
}
case FuzzErrorMetric:
{
status=GetFuzzDistortion(image,reconstruct_image,channel_distortion,
exception);
break;
}
case MeanAbsoluteErrorMetric:
{
status=GetMeanAbsoluteDistortion(image,reconstruct_image,
channel_distortion,exception);
break;
}
case MeanErrorPerPixelErrorMetric:
{
status=GetMeanErrorPerPixel(image,reconstruct_image,channel_distortion,
exception);
break;
}
case MeanSquaredErrorMetric:
{
status=GetMeanSquaredDistortion(image,reconstruct_image,
channel_distortion,exception);
break;
}
case NormalizedCrossCorrelationErrorMetric:
default:
{
status=GetNormalizedCrossCorrelationDistortion(image,reconstruct_image,
channel_distortion,exception);
break;
}
case PeakAbsoluteErrorMetric:
{
status=GetPeakAbsoluteDistortion(image,reconstruct_image,
channel_distortion,exception);
break;
}
case PeakSignalToNoiseRatioErrorMetric:
{
status=GetPeakSignalToNoiseRatio(image,reconstruct_image,
channel_distortion,exception);
break;
}
case PerceptualHashErrorMetric:
{
status=GetRootMeanSquaredDistortion(image,reconstruct_image,
channel_distortion,exception);
break;
}
case RootMeanSquaredErrorMetric:
{
status=GetRootMeanSquaredDistortion(image,reconstruct_image,
channel_distortion,exception);
break;
}
case StructuralSimilarityErrorMetric:
{
status=GetStructuralSimilarityDistortion(image,reconstruct_image,
channel_distortion,exception);
break;
}
case StructuralDissimilarityErrorMetric:
{
status=GetStructuralDisimilarityDistortion(image,reconstruct_image,
channel_distortion,exception);
break;
}
}
if (status == MagickFalse)
{
channel_distortion=(double *) RelinquishMagickMemory(channel_distortion);
return((double *) NULL);
}
return(channel_distortion);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% I s I m a g e s E q u a l %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% IsImagesEqual() compare the pixels of two images and returns immediately
% if any pixel is not identical.
%
% The format of the IsImagesEqual method is:
%
% MagickBooleanType IsImagesEqual(const Image *image,
% const Image *reconstruct_image,ExceptionInfo *exception)
%
% A description of each parameter follows.
%
% o image: the image.
%
% o reconstruct_image: the reconstruct image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType IsImagesEqual(const Image *image,
const Image *reconstruct_image,ExceptionInfo *exception)
{
CacheView
*image_view,
*reconstruct_view;
size_t
columns,
rows;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(reconstruct_image != (const Image *) NULL);
assert(reconstruct_image->signature == MagickCoreSignature);
rows=MagickMax(image->rows,reconstruct_image->rows);
columns=MagickMax(image->columns,reconstruct_image->columns);
image_view=AcquireVirtualCacheView(image,exception);
reconstruct_view=AcquireVirtualCacheView(reconstruct_image,exception);
for (y=0; y < (ssize_t) rows; y++)
{
const Quantum
*magick_restrict p,
*magick_restrict q;
ssize_t
x;
p=GetCacheViewVirtualPixels(image_view,0,y,columns,1,exception);
q=GetCacheViewVirtualPixels(reconstruct_view,0,y,columns,1,exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
break;
for (x=0; x < (ssize_t) columns; x++)
{
ssize_t
i;
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
double
distance;
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
PixelTrait reconstruct_traits = GetPixelChannelTraits(reconstruct_image,
channel);
if ((traits == UndefinedPixelTrait) ||
(reconstruct_traits == UndefinedPixelTrait) ||
((reconstruct_traits & UpdatePixelTrait) == 0))
continue;
distance=fabs((double) (p[i]-(double) GetPixelChannel(reconstruct_image,
channel,q)));
if (distance >= MagickEpsilon)
break;
}
if (i < (ssize_t) GetPixelChannels(image))
break;
p+=GetPixelChannels(image);
q+=GetPixelChannels(reconstruct_image);
}
if (x < (ssize_t) columns)
break;
}
reconstruct_view=DestroyCacheView(reconstruct_view);
image_view=DestroyCacheView(image_view);
return(y < (ssize_t) rows ? MagickFalse : MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t I m a g e C o l o r M e t r i c %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetImageColorMetric() measures the difference between colors at each pixel
% location of two images. A value other than 0 means the colors match
% exactly. Otherwise an error measure is computed by summing over all
% pixels in an image the distance squared in RGB space between each image
% pixel and its corresponding pixel in the reconstruct image. The error
% measure is assigned to these image members:
%
% o mean_error_per_pixel: The mean error for any single pixel in
% the image.
%
% o normalized_mean_error: The normalized mean quantization error for
% any single pixel in the image. This distance measure is normalized to
% a range between 0 and 1. It is independent of the range of red, green,
% and blue values in the image.
%
% o normalized_maximum_error: The normalized maximum quantization
% error for any single pixel in the image. This distance measure is
% normalized to a range between 0 and 1. It is independent of the range
% of red, green, and blue values in your image.
%
% A small normalized mean square error, accessed as
% image->normalized_mean_error, suggests the images are very similar in
% spatial layout and color.
%
% The format of the SetImageColorMetric method is:
%
% MagickBooleanType SetImageColorMetric(Image *image,
% const Image *reconstruct_image,ExceptionInfo *exception)
%
% A description of each parameter follows.
%
% o image: the image.
%
% o reconstruct_image: the reconstruct image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType SetImageColorMetric(Image *image,
const Image *reconstruct_image,ExceptionInfo *exception)
{
CacheView
*image_view,
*reconstruct_view;
double
area,
maximum_error,
mean_error,
mean_error_per_pixel;
MagickBooleanType
status;
size_t
columns,
rows;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(reconstruct_image != (const Image *) NULL);
assert(reconstruct_image->signature == MagickCoreSignature);
area=0.0;
maximum_error=0.0;
mean_error_per_pixel=0.0;
mean_error=0.0;
rows=MagickMax(image->rows,reconstruct_image->rows);
columns=MagickMax(image->columns,reconstruct_image->columns);
image_view=AcquireVirtualCacheView(image,exception);
reconstruct_view=AcquireVirtualCacheView(reconstruct_image,exception);
for (y=0; y < (ssize_t) rows; y++)
{
const Quantum
*magick_restrict p,
*magick_restrict q;
ssize_t
x;
p=GetCacheViewVirtualPixels(image_view,0,y,columns,1,exception);
q=GetCacheViewVirtualPixels(reconstruct_view,0,y,columns,1,exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
break;
for (x=0; x < (ssize_t) columns; x++)
{
ssize_t
i;
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
double
distance;
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
PixelTrait reconstruct_traits = GetPixelChannelTraits(reconstruct_image,
channel);
if ((traits == UndefinedPixelTrait) ||
(reconstruct_traits == UndefinedPixelTrait) ||
((reconstruct_traits & UpdatePixelTrait) == 0))
continue;
distance=fabs((double) (p[i]-(double) GetPixelChannel(reconstruct_image,
channel,q)));
if (distance >= MagickEpsilon)
{
mean_error_per_pixel+=distance;
mean_error+=distance*distance;
if (distance > maximum_error)
maximum_error=distance;
}
area++;
}
p+=GetPixelChannels(image);
q+=GetPixelChannels(reconstruct_image);
}
}
reconstruct_view=DestroyCacheView(reconstruct_view);
image_view=DestroyCacheView(image_view);
image->error.mean_error_per_pixel=(double) (mean_error_per_pixel/area);
image->error.normalized_mean_error=(double) (QuantumScale*QuantumScale*
mean_error/area);
image->error.normalized_maximum_error=(double) (QuantumScale*maximum_error);
status=image->error.mean_error_per_pixel == 0.0 ? MagickTrue : MagickFalse;
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S i m i l a r i t y I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SimilarityImage() compares the reference image of the image and returns the
% best match offset. In addition, it returns a similarity image such that an
% exact match location is completely white and if none of the pixels match,
% black, otherwise some gray level in-between.
%
% The format of the SimilarityImageImage method is:
%
% Image *SimilarityImage(const Image *image,const Image *reference,
% const MetricType metric,const double similarity_threshold,
% RectangleInfo *offset,double *similarity,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o reference: find an area of the image that closely resembles this image.
%
% o metric: the metric.
%
% o similarity_threshold: minimum distortion for (sub)image match.
%
% o offset: the best match offset of the reference image within the image.
%
% o similarity: the computed similarity between the images.
%
% o exception: return any errors or warnings in this structure.
%
*/
static double GetSimilarityMetric(const Image *image,const Image *reference,
const MetricType metric,const ssize_t x_offset,const ssize_t y_offset,
ExceptionInfo *exception)
{
double
distortion;
Image
*similarity_image;
MagickBooleanType
status;
RectangleInfo
geometry;
SetGeometry(reference,&geometry);
geometry.x=x_offset;
geometry.y=y_offset;
similarity_image=CropImage(image,&geometry,exception);
if (similarity_image == (Image *) NULL)
return(0.0);
distortion=0.0;
status=GetImageDistortion(similarity_image,reference,metric,&distortion,
exception);
similarity_image=DestroyImage(similarity_image);
if (status == MagickFalse)
return(0.0);
return(distortion);
}
MagickExport Image *SimilarityImage(const Image *image,const Image *reference,
const MetricType metric,const double similarity_threshold,
RectangleInfo *offset,double *similarity_metric,ExceptionInfo *exception)
{
#define SimilarityImageTag "Similarity/Image"
CacheView
*similarity_view;
Image
*similarity_image;
MagickBooleanType
status;
MagickOffsetType
progress;
ssize_t
y;
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
assert(offset != (RectangleInfo *) NULL);
SetGeometry(reference,offset);
*similarity_metric=MagickMaximumValue;
similarity_image=CloneImage(image,image->columns-reference->columns+1,
image->rows-reference->rows+1,MagickTrue,exception);
if (similarity_image == (Image *) NULL)
return((Image *) NULL);
status=SetImageStorageClass(similarity_image,DirectClass,exception);
if (status == MagickFalse)
{
similarity_image=DestroyImage(similarity_image);
return((Image *) NULL);
}
(void) SetImageAlphaChannel(similarity_image,DeactivateAlphaChannel,
exception);
/*
Measure similarity of reference image against image.
*/
status=MagickTrue;
progress=0;
similarity_view=AcquireAuthenticCacheView(similarity_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) \
shared(progress,status,similarity_metric) \
magick_number_threads(image,image,image->rows-reference->rows+1,1)
#endif
for (y=0; y < (ssize_t) (image->rows-reference->rows+1); y++)
{
double
similarity;
Quantum
*magick_restrict q;
ssize_t
x;
if (status == MagickFalse)
continue;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp flush(similarity_metric)
#endif
if (*similarity_metric <= similarity_threshold)
continue;
q=GetCacheViewAuthenticPixels(similarity_view,0,y,similarity_image->columns,
1,exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) (image->columns-reference->columns+1); x++)
{
ssize_t
i;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp flush(similarity_metric)
#endif
if (*similarity_metric <= similarity_threshold)
break;
similarity=GetSimilarityMetric(image,reference,metric,x,y,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_SimilarityImage)
#endif
if ((metric == NormalizedCrossCorrelationErrorMetric) ||
(metric == UndefinedErrorMetric))
similarity=1.0-similarity;
if (similarity < *similarity_metric)
{
offset->x=x;
offset->y=y;
*similarity_metric=similarity;
}
if (metric == PerceptualHashErrorMetric)
similarity=MagickMin(0.01*similarity,1.0);
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
PixelTrait similarity_traits=GetPixelChannelTraits(similarity_image,
channel);
if ((traits == UndefinedPixelTrait) ||
(similarity_traits == UndefinedPixelTrait) ||
((similarity_traits & UpdatePixelTrait) == 0))
continue;
SetPixelChannel(similarity_image,channel,ClampToQuantum(QuantumRange-
QuantumRange*similarity),q);
}
q+=GetPixelChannels(similarity_image);
}
if (SyncCacheViewAuthenticPixels(similarity_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,SimilarityImageTag,progress,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
similarity_view=DestroyCacheView(similarity_view);
if (status == MagickFalse)
similarity_image=DestroyImage(similarity_image);
return(similarity_image);
}
|
eam.c | /*******************************************************************************
Copyright (c) 2016 Advanced Micro Devices, Inc.
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 copyright holder 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.
*******************************************************************************/
/// \file
/// Compute forces for the Embedded Atom Model (EAM).
///
/// The Embedded Atom Model (EAM) is a widely used model of atomic
/// interactions in simple metals.
///
/// http://en.wikipedia.org/wiki/Embedded_atom_model
///
/// In the EAM, the total potential energy is written as a sum of a pair
/// potential and the embedding energy, F:
///
/// \f[
/// U = \sum_{ij} \varphi(r_{ij}) + \sum_i F({\bar\rho_i})
/// \f]
///
/// The pair potential \f$\varphi_{ij}\f$ is a two-body inter-atomic
/// potential, similar to the Lennard-Jones potential, and
/// \f$F(\bar\rho)\f$ is interpreted as the energy required to embed an
/// atom in an electron field with density \f$\bar\rho\f$. The local
/// electon density at site i is calulated by summing the "effective
/// electron density" due to all neighbors of atom i:
///
/// \f[
/// \bar\rho_i = \sum_j \rho_j(r_{ij})
/// \f]
///
/// The force on atom i, \f${\bf F}_i\f$ is given by
///
/// \f{eqnarray*}{
/// {\bf F}_i & = & -\nabla_i \sum_{jk} U(r_{jk})\\
/// & = & - \sum_j\left\{
/// \varphi'(r_{ij}) +
/// [F'(\bar\rho_i) + F'(\bar\rho_j)]\rho'(r_{ij})
/// \right\} \hat{r}_{ij}
/// \f}
///
/// where primes indicate the derivative of a function with respect to
/// its argument and \f$\hat{r}_{ij}\f$ is a unit vector in the
/// direction from atom i to atom j.
///
/// The form of this force expression has two significant consequences.
/// First, unlike with a simple pair potential, it is not possible to
/// compute the potential energy and the forces on the atoms in a single
/// loop over the pairs. The terms involving \f$ F'(\bar\rho) \f$
/// cannot be calculated until \f$ \bar\rho \f$ is known, but
/// calculating \f$ \bar\rho \f$ requires a loop over the pairs. Hence
/// the EAM force routine contains three loops.
///
/// -# Loop over all pairs, compute the two-body
/// interaction and the electron density at each atom
/// -# Loop over all atoms, compute the embedding energy and its
/// derivative for each atom
/// -# Loop over all pairs, compute the embedding
/// energy contribution to the force and add to the two-body force
///
/// The second loop over pairs doubles the data motion requirement
/// relative to a simple pair potential.
///
/// The second consequence of the force expression is that computing the
/// forces on all atoms requires additional communication beyond the
/// coordinates of all remote atoms within the cutoff distance. This is
/// again because of the terms involving \f$ F'(\bar\rho_j) \f$. If
/// atom j is a remote atom, the local task cannot compute \f$
/// \bar\rho_j \f$. (Such a calculation would require all the neighbors
/// of atom j, some of which can be up to 2 times the cutoff distance
/// away from a local atom---outside the typical halo exchange range.)
///
/// To obtain the needed remote density we introduce a second halo
/// exchange after loop number 2 to communicate \f$ F'(\bar\rho) \f$ for
/// remote atoms. This provides the data we need to complete the third
/// loop, but at the cost of introducing a communication operation in
/// the middle of the force routine.
///
/// At least two alternate methods can be used to deal with the remote
/// density problem. One possibility is to extend the halo exchange
/// radius for the atom exchange to twice the potential cutoff distance.
/// This is likely undesirable due to large increase in communication
/// volume. The other possibility is to accumulate partial force terms
/// on the tasks where they can be computed. In this method, tasks will
/// compute force contributions for remote atoms, then communicate the
/// partial forces at the end of the halo exchange. This method has the
/// advantage that the communication is deffered until after the force
/// loops, but the disadvantage that three times as much data needs to
/// be set (three components of the force vector instead of a single
/// scalar \f$ F'(\bar\rho) \f$.
#include "eam.h"
#include <stdlib.h>
#include <string.h>
#include <math.h>
#include <assert.h>
#include <omp.h>
#include "constants.h"
#include "memUtils.h"
#include "parallel.h"
#include "linkCells.h"
#include "CoMDTypes.h"
#include "performanceTimers.h"
#include "haloExchange.h"
#define MAX(A,B) ((A) > (B) ? (A) : (B))
/// Handles interpolation of tabular data.
///
/// \see initInterpolationObject
/// \see interpolate
typedef struct InterpolationObjectSt
{
int n; //!< the number of values in the table
real_t x0; //!< the starting ordinate range
real_t invDx; //!< the inverse of the table spacing
real_t* values; //!< the abscissa values
} InterpolationObject;
/// Derived struct for an EAM potential.
/// Uses table lookups for function evaluation.
/// Polymorphic with BasePotential.
/// \see BasePotential
typedef struct EamPotentialSt
{
real_t cutoff; //!< potential cutoff distance in Angstroms
real_t mass; //!< mass of atoms in intenal units
real_t lat; //!< lattice spacing (angs) of unit cell
char latticeType[8]; //!< lattice type, e.g. FCC, BCC, etc.
char name[3]; //!< element name
int atomicNo; //!< atomic number
int (*force)(SimFlat* s); //!< function pointer to force routine
void (*print)(FILE* file, BasePotential* pot);
void (*destroy)(BasePotential** pot); //!< destruction of the potential
InterpolationObject* phi; //!< Pair energy
InterpolationObject* rho; //!< Electron Density
InterpolationObject* f; //!< Embedding Energy
real_t* rhobar; //!< per atom storage for rhobar
real_t* dfEmbed; //!< per atom storage for derivative of Embedding
HaloExchange* forceExchange;
ForceExchangeData* forceExchangeData;
} EamPotential;
// EAM functionality
static int eamForce(SimFlat* s);
static void eamPrint(FILE* file, BasePotential* pot);
static void eamDestroy(BasePotential** pot);
static void eamBcastPotential(EamPotential* pot);
// Table interpolation functionality
static InterpolationObject* initInterpolationObject(
int n, real_t x0, real_t dx, real_t* data);
static void destroyInterpolationObject(InterpolationObject** table);
#pragma omp declare target
static void interpolate(int n, real_t x0, real_t invDx, real_t* values, real_t r, real_t* f, real_t* df);
#pragma omp end declare target
static void bcastInterpolationObject(InterpolationObject** table);
static void printTableData(InterpolationObject* table, const char* fileName);
// Read potential tables from files.
static void eamReadSetfl(EamPotential* pot, const char* dir, const char* potName);
static void eamReadFuncfl(EamPotential* pot, const char* dir, const char* potName);
static void fileNotFound(const char* callSite, const char* filename);
static void notAlloyReady(const char* callSite);
static void typeNotSupported(const char* callSite, const char* type);
/// Allocate and initialize the EAM potential data structure.
///
/// \param [in] dir The directory in which potential table files are found.
/// \param [in] file The name of the potential table file.
/// \param [in] type The file format of the potential file (setfl or funcfl).
BasePotential* initEamPot(const char* dir, const char* file, const char* type)
{
EamPotential* pot = comdMalloc(sizeof(EamPotential));
assert(pot);
pot->force = eamForce;
pot->print = eamPrint;
pot->destroy = eamDestroy;
pot->phi = NULL;
pot->rho = NULL;
pot->f = NULL;
// Initialization of the next three items requires information about
// the parallel decomposition and link cells that isn't available
// with the potential is initialized. Hence, we defer their
// initialization until the first time we call the force routine.
pot->dfEmbed = NULL;
pot->rhobar = NULL;
pot->forceExchange = NULL;
if (getMyRank() == 0)
{
if (strcmp(type, "setfl" ) == 0)
eamReadSetfl(pot, dir, file);
else if (strcmp(type,"funcfl") == 0)
eamReadFuncfl(pot, dir, file);
else
typeNotSupported("initEamPot", type);
}
eamBcastPotential(pot);
return (BasePotential*) pot;
}
/// Calculate potential energy and forces for the EAM potential.
///
/// Three steps are required:
///
/// -# Loop over all atoms and their neighbors, compute the two-body
/// interaction and the electron density at each atom
/// -# Loop over all atoms, compute the embedding energy and its
/// derivative for each atom
/// -# Loop over all atoms and their neighbors, compute the embedding
/// energy contribution to the force and add to the two-body force
///
int eamForce(SimFlat* s)
{
EamPotential* pot = (EamPotential*) s->pot;
assert(pot);
int nTotalBoxes = s->boxes->nTotalBoxes;
int maxTotalAtoms = MAXATOMS*nTotalBoxes;
// set up halo exchange and internal storage on first call to forces.
if (pot->forceExchange == NULL)
{
pot->dfEmbed = comdMalloc(maxTotalAtoms*sizeof(real_t));
pot->rhobar = comdMalloc(maxTotalAtoms*sizeof(real_t));
pot->forceExchange = initForceHaloExchange(s->domain, s->boxes);
pot->forceExchangeData = comdMalloc(sizeof(ForceExchangeData));
pot->forceExchangeData->dfEmbed = pot->dfEmbed;
pot->forceExchangeData->boxes = s->boxes;
}
real_t rCut2 = pot->cutoff*pot->cutoff;
real_t etot = 0.;
// zero forces / energy / rho /rhoprime
int nNbrBoxes = 27;
//get local pointers for OpenMP4 target clauses
int nLocalBoxes = s->boxes->nLocalBoxes;
int *nAtoms = s->boxes->nAtoms;
int *nbrBoxes = (int *)s->boxes->nbrBoxes;
real_t *rhobar = pot->rhobar;
real_t *dfEmbed = pot->dfEmbed;
real_t *r = (real_t *) s->atoms->r;
real_t *f = (real_t *) s->atoms->f;
real_t *U = s->atoms->U;
InterpolationObject *phi = pot->phi;
int phi_n = phi->n;
real_t phi_x0 = phi->x0;
real_t phi_invDx = phi->invDx;
real_t *vphi = phi->values;
InterpolationObject *rho = pot->rho;
int rho_n = rho->n;
real_t rho_x0 = rho->x0;
real_t rho_invDx = rho->invDx;
real_t *vrho = rho->values;
InterpolationObject *fio = pot->f;
int fio_n = fio->n;
real_t fio_x0 = fio->x0;
real_t fio_invDx = fio->invDx;
real_t *vfio = fio->values;
// allocate an array for storing team reduction results
real_t *ePotTeam = (real_t *)calloc(nLocalBoxes, sizeof(real_t));
#pragma omp target data map(to: maxTotalAtoms) \
map(from: rhobar[:maxTotalAtoms], \
dfEmbed[:maxTotalAtoms], \
f[:maxTotalAtoms*3], \
U[:maxTotalAtoms])
#pragma omp target
#pragma omp parallel for
for (int ii=0; ii<maxTotalAtoms; ii++)
{
for (int m=0; m<3; m++)
f[ii*3+m] = 0.;
U[ii] = 0.;
dfEmbed[ii] = 0.;
rhobar[ii] = 0.;
}
// loop over local boxes
#pragma omp target data map(to: nLocalBoxes,nNbrBoxes, rCut2, \
nAtoms[:nTotalBoxes], \
nbrBoxes[:maxTotalAtoms], \
phi_n, phi_x0, phi_invDx, \
rho_n, rho_x0, rho_invDx, \
vphi[:phi_n],vrho[:rho_n]) \
map(tofrom: U[:maxTotalAtoms], \
r[:maxTotalAtoms*3],f[:maxTotalAtoms*3], \
rhobar[:maxTotalAtoms], \
ePotTeam[:nLocalBoxes])
#pragma omp target teams distribute num_teams(nLocalBoxes) thread_limit(27)
for (int iBox=0; iBox<nLocalBoxes; iBox++)
{
int nIBox = nAtoms[iBox];
real_t ePot1 = 0.0;
// loop over neighbor boxes of iBox (some may be halo boxes)
#pragma omp parallel for reduction(+:ePot1)
for (int jTmp=0; jTmp<nNbrBoxes; jTmp++)
{
int jBox = nbrBoxes[iBox * 27 + jTmp];
int nJBox = nAtoms[jBox];
// loop over atoms in iBox
for (int iOff=MAXATOMS*iBox; iOff<(iBox*MAXATOMS+nIBox); iOff++)
{
// loop over atoms in jBox
for (int jOff=MAXATOMS*jBox; jOff<(jBox*MAXATOMS+nJBox); jOff++)
{
real3 dr;
real_t r2 = 0.0;
for (int k=0; k<3; k++)
{
dr[k]=r[iOff*3+k]-r[jOff*3+k];
r2+=dr[k]*dr[k];
}
if(r2 <= rCut2 && r2 > 0.0)
{
real_t rr = sqrt(r2);
real_t phiTmp, dPhi, rhoTmp, dRho;
interpolate(phi_n, phi_x0, phi_invDx, vphi, rr, &phiTmp, &dPhi);
interpolate(rho_n, rho_x0, rho_invDx, vrho, rr, &rhoTmp, &dRho);
for (int k=0; k<3; k++)
{
#pragma omp atomic update
f[iOff*3+k] -= dPhi*dr[k]/rr;
}
// Calculate energy contribution
#pragma omp atomic update
U[iOff] += 0.5*phiTmp;
ePot1 += 0.5*phiTmp;
// accumulate rhobar for each atom
#pragma omp atomic update
rhobar[iOff] += rhoTmp;
}
} // loop over atoms in jBox
} // loop over atoms in iBox
} // loop over neighbor boxes
ePotTeam[iBox] = ePot1;
} // loop over local boxes
// finish the reduction
for(int i = 0; i < nLocalBoxes; i++)
etot += ePotTeam[i];
// Compute Embedding Energy
// loop over all local boxes
#pragma omp target data map(tofrom: U[:maxTotalAtoms], \
dfEmbed[:maxTotalAtoms]) \
map(from: ePotTeam[:nLocalBoxes]) \
map(to: nLocalBoxes, nAtoms[:nTotalBoxes], \
fio_n,fio_x0,fio_invDx, \
rhobar[:maxTotalAtoms], \
vfio[:fio_n])
#pragma omp target teams distribute num_teams(nLocalBoxes) thread_limit(27)
for (int iBox=0; iBox<nLocalBoxes; iBox++)
{
int nIBox = nAtoms[iBox];
real_t ePot1 = 0.0;
// loop over atoms in iBox
#pragma omp parallel for reduction(+:ePot1)
for (int iOff=MAXATOMS*iBox; iOff<(MAXATOMS*iBox+nIBox); iOff++)
{
real_t fEmbed, ldfEmbed;
interpolate(fio_n, fio_x0, fio_invDx, vfio, rhobar[iOff], &fEmbed,
&ldfEmbed);
dfEmbed[iOff] = ldfEmbed; // save derivative for halo exchange
#pragma omp atomic update
U[iOff] += fEmbed;
ePot1 += fEmbed;
}
ePotTeam[iBox] = ePot1;
}
// finish the reduction
for(int i = 0; i < nLocalBoxes; i++)
etot += ePotTeam[i];
// exchange derivative of the embedding energy with repsect to rhobar
startTimer(eamHaloTimer);
haloExchange(pot->forceExchange, pot->forceExchangeData);
stopTimer(eamHaloTimer);
// third pass
// loop over local boxes
#pragma omp target data map(tofrom: f[:maxTotalAtoms*3]) \
map(to: rho_n,rho_x0,rho_invDx,nLocalBoxes, \
nAtoms[:nTotalBoxes], \
nbrBoxes[:nTotalBoxes*27], \
nNbrBoxes, rCut2, \
r[:maxTotalAtoms*3], \
dfEmbed[:maxTotalAtoms], \
vrho[:rho_n])
#pragma omp target teams distribute num_teams(nLocalBoxes) thread_limit(27)
for (int iBox=0; iBox<nLocalBoxes; iBox++)
{
int nIBox = nAtoms[iBox];
// loop over neighbor boxes of iBox (some may be halo boxes)
#pragma omp parallel for
for (int jTmp=0; jTmp<nNbrBoxes; jTmp++)
{
int jBox = nbrBoxes[iBox *27 + jTmp];
int nJBox = nAtoms[jBox];
// loop over atoms in iBox
for (int iOff=MAXATOMS*iBox; iOff<(MAXATOMS*iBox+nIBox); iOff++)
{
// loop over atoms in jBox
for (int jOff=MAXATOMS*jBox; jOff<(MAXATOMS*jBox+nJBox); jOff++)
{
real_t r2 = 0.0;
real3 dr;
for (int k=0; k<3; k++)
{
dr[k]=r[iOff*3+k]-r[jOff*3+k];
r2+=dr[k]*dr[k];
}
if(r2 <= rCut2 && r2 > 0.0)
{
real_t r = sqrt(r2);
real_t rhoTmp, dRho;
interpolate(rho_n, rho_x0, rho_invDx, vrho, r, &rhoTmp, &dRho);
for (int k=0; k<3; k++)
{
#pragma omp atomic update
f[iOff*3+k] -= (dfEmbed[iOff]+dfEmbed[jOff])*dRho*dr[k]/r;
}
}
} // loop over atoms in jBox
} // loop over atoms in iBox
} // loop over neighbor boxes
} // loop over local boxes
s->ePotential = (real_t) etot;
return 0;
}
void eamPrint(FILE* file, BasePotential* pot)
{
EamPotential *eamPot = (EamPotential*) pot;
fprintf(file, " Potential type : EAM\n");
fprintf(file, " Species name : %s\n", eamPot->name);
fprintf(file, " Atomic number : %d\n", eamPot->atomicNo);
fprintf(file, " Mass : "FMT1" amu\n", eamPot->mass/amuToInternalMass); // print in amu
fprintf(file, " Lattice type : %s\n", eamPot->latticeType);
fprintf(file, " Lattice spacing : "FMT1" Angstroms\n", eamPot->lat);
fprintf(file, " Cutoff : "FMT1" Angstroms\n", eamPot->cutoff);
}
void eamDestroy(BasePotential** pPot)
{
if ( ! pPot ) return;
EamPotential* pot = *(EamPotential**)pPot;
if ( ! pot ) return;
destroyInterpolationObject(&(pot->phi));
destroyInterpolationObject(&(pot->rho));
destroyInterpolationObject(&(pot->f));
destroyHaloExchange(&(pot->forceExchange));
comdFree(pot);
*pPot = NULL;
return;
}
/// Broadcasts an EamPotential from rank 0 to all other ranks.
/// If the table coefficients are read from a file only rank 0 does the
/// read. Hence we need to broadcast the potential to all other ranks.
void eamBcastPotential(EamPotential* pot)
{
assert(pot);
struct
{
real_t cutoff, mass, lat;
char latticeType[8];
char name[3];
int atomicNo;
} buf;
if (getMyRank() == 0)
{
buf.cutoff = pot->cutoff;
buf.mass = pot->mass;
buf.lat = pot->lat;
buf.atomicNo = pot->atomicNo;
strcpy(buf.latticeType, pot->latticeType);
strcpy(buf.name, pot->name);
}
bcastParallel(&buf, sizeof(buf), 0);
pot->cutoff = buf.cutoff;
pot->mass = buf.mass;
pot->lat = buf.lat;
pot->atomicNo = buf.atomicNo;
strcpy(pot->latticeType, buf.latticeType);
strcpy(pot->name, buf.name);
bcastInterpolationObject(&pot->phi);
bcastInterpolationObject(&pot->rho);
bcastInterpolationObject(&pot->f);
}
/// Builds a structure to store interpolation data for a tabular
/// function. Interpolation must be supported on the range
/// \f$[x_0, x_n]\f$, where \f$x_n = n*dx\f$.
///
/// \see interpolate
/// \see bcastInterpolationObject
/// \see destroyInterpolationObject
///
/// \param [in] n number of values in the table.
/// \param [in] x0 minimum ordinate value of the table.
/// \param [in] dx spacing of the ordinate values.
/// \param [in] data abscissa values. An array of size n.
InterpolationObject* initInterpolationObject(
int n, real_t x0, real_t dx, real_t* data)
{
InterpolationObject* table =
(InterpolationObject *)comdMalloc(sizeof(InterpolationObject)) ;
assert(table);
table->values = (real_t*)comdCalloc(1, (n+3)*sizeof(real_t));
assert(table->values);
table->values++;
table->n = n;
table->invDx = 1.0/dx;
table->x0 = x0;
for (int ii=0; ii<n; ++ii)
table->values[ii] = data[ii];
table->values[-1] = table->values[0];
table->values[n+1] = table->values[n] = table->values[n-1];
return table;
}
void destroyInterpolationObject(InterpolationObject** a)
{
if ( ! a ) return;
if ( ! *a ) return;
if ( (*a)->values)
{
(*a)->values--;
comdFree((*a)->values);
}
comdFree(*a);
*a = NULL;
return;
}
/// Interpolate a table to determine f(r) and its derivative f'(r).
///
/// The forces on the particle are much more sensitive to the derivative
/// of the potential than on the potential itself. It is therefore
/// absolutely essential that the interpolated derivatives are smooth
/// and continuous. This function uses simple quadratic interpolation
/// to find f(r). Since quadric interpolants don't have smooth
/// derivatives, f'(r) is computed using a 4 point finite difference
/// stencil.
///
/// Interpolation is used heavily by the EAM force routine so this
/// function is a potential performance hot spot. Feel free to
/// reimplement this function (and initInterpolationObject if necessay)
/// with any higher performing implementation of interpolation, as long
/// as the alternate implmentation that has the required smoothness
/// properties. Cubic splines are one common alternate choice.
///
/// \param [in] table Interpolation table.
/// \param [in] r Point where function value is needed.
/// \param [out] f The interpolated value of f(r).
/// \param [out] df The interpolated value of df(r)/dr.
#pragma omp declare target
static void interpolate(int n, real_t x0, real_t invDx, real_t* values, real_t r, real_t* f, real_t* df)
{
const real_t* tt = values; // alias
if ( r < x0 ) r = x0;
r = (r-x0)*(invDx) ;
int ii = (int)floor(r);
if (ii > n)
{
ii = n;
r = n / invDx;
}
// reset r to fractional distance
r = r - floor(r);
real_t g1 = tt[ii+1] - tt[ii-1];
real_t g2 = tt[ii+2] - tt[ii];
*f = tt[ii] + 0.5*r*(g1 + r*(tt[ii+1] + tt[ii-1] - 2.0*tt[ii]) );
*df = 0.5*(g1 + r*(g2-g1))*invDx;
}
#pragma omp end declare target
/// Broadcasts an InterpolationObject from rank 0 to all other ranks.
///
/// It is commonly the case that the data needed to create the
/// interpolation table is available on only one task (for example, only
/// one task has read the data from a file). Broadcasting the table
/// eliminates the need to put broadcast code in multiple table readers.
///
/// \see eamBcastPotential
void bcastInterpolationObject(InterpolationObject** table)
{
struct
{
int n;
real_t x0, invDx;
} buf;
if (getMyRank() == 0)
{
buf.n = (*table)->n;
buf.x0 = (*table)->x0;
buf.invDx = (*table)->invDx;
}
bcastParallel(&buf, sizeof(buf), 0);
if (getMyRank() != 0)
{
assert(*table == NULL);
*table = comdMalloc(sizeof(InterpolationObject));
(*table)->n = buf.n;
(*table)->x0 = buf.x0;
(*table)->invDx = buf.invDx;
(*table)->values = comdMalloc(sizeof(real_t) * (buf.n+3) );
(*table)->values++;
}
int valuesSize = sizeof(real_t) * ((*table)->n+3);
bcastParallel((*table)->values-1, valuesSize, 0);
}
void printTableData(InterpolationObject* table, const char* fileName)
{
if (!printRank()) return;
FILE* potData;
potData = fopen(fileName,"w");
real_t dR = 1.0/table->invDx;
for (int i = 0; i<table->n; i++)
{
real_t r = table->x0+i*dR;
fprintf(potData, "%d %e %e\n", i, r, table->values[i]);
}
fclose(potData);
}
/// Reads potential data from a setfl file and populates
/// corresponding members and InterpolationObjects in an EamPotential.
///
/// setfl is a file format for tabulated potential functions used by
/// the original EAM code DYNAMO. A setfl file contains EAM
/// potentials for multiple elements.
///
/// The contents of a setfl file are:
///
/// | Line Num | Description
/// | :------: | :----------
/// | 1 - 3 | comments
/// | 4 | ntypes type1 type2 ... typen
/// | 5 | nrho drho nr dr rcutoff
/// | F, rho | Following line 5 there is a block for each atom type with F, and rho.
/// | b1 | ielem(i) amass(i) latConst(i) latType(i)
/// | b2 | embedding function values F(rhobar) starting at rhobar=0
/// | ... | (nrho values. Multiple values per line allowed.)
/// | bn | electron density, starting at r=0
/// | ... | (nr values. Multiple values per line allowed.)
/// | repeat | Return to b1 for each atom type.
/// | phi | phi_ij for (1,1), (2,1), (2,2), (3,1), (3,2), (3,3), (4,1), ...,
/// | p1 | pair potential between type i and type j, starting at r=0
/// | ... | (nr values. Multiple values per line allowed.)
/// | repeat | Return to p1 for each phi_ij
///
/// Where:
/// - ntypes : number of element types in the potential
/// - nrho : number of points the embedding energy F(rhobar)
/// - drho : table spacing for rhobar
/// - nr : number of points for rho(r) and phi(r)
/// - dr : table spacing for r in Angstroms
/// - rcutoff : cut-off distance in Angstroms
/// - ielem(i) : atomic number for element(i)
/// - amass(i) : atomic mass for element(i) in AMU
/// - latConst(i) : lattice constant for element(i) in Angstroms
/// - latType(i) : lattice type for element(i)
///
/// setfl format stores r*phi(r), so we need to converted to the pair
/// potential phi(r). In the file, phi(r)*r is in eV*Angstroms.
/// NB: phi is not defined for r = 0
///
/// F(rhobar) is in eV.
///
void eamReadSetfl(EamPotential* pot, const char* dir, const char* potName)
{
char tmp[4096];
sprintf(tmp, "%s/%s", dir, potName);
FILE* potFile = fopen(tmp, "r");
if (potFile == NULL)
fileNotFound("eamReadSetfl", tmp);
// read the first 3 lines (comments)
fgets(tmp, sizeof(tmp), potFile);
fgets(tmp, sizeof(tmp), potFile);
fgets(tmp, sizeof(tmp), potFile);
// line 4
fgets(tmp, sizeof(tmp), potFile);
int nElems;
sscanf(tmp, "%d", &nElems);
if( nElems != 1 )
notAlloyReady("eamReadSetfl");
//line 5
int nRho, nR;
double dRho, dR, cutoff;
// The same cutoff is used by all alloys, NB: cutoff = nR * dR is redundant
fgets(tmp, sizeof(tmp), potFile);
sscanf(tmp, "%d %le %d %le %le", &nRho, &dRho, &nR, &dR, &cutoff);
pot->cutoff = cutoff;
// **** THIS CODE IS RESTRICTED TO ONE ELEMENT
// Per-atom header
fgets(tmp, sizeof(tmp), potFile);
int nAtomic;
double mass, lat;
char latticeType[8];
sscanf(tmp, "%d %le %le %s", &nAtomic, &mass, &lat, latticeType);
pot->atomicNo = nAtomic;
pot->lat = lat;
pot->mass = mass * amuToInternalMass; // file has mass in AMU.
strcpy(pot->latticeType, latticeType);
// allocate read buffer
int bufSize = MAX(nRho, nR);
real_t* buf = comdMalloc(bufSize * sizeof(real_t));
real_t x0 = 0.0;
// Read embedding energy F(rhobar)
for (int ii=0; ii<nRho; ++ii)
fscanf(potFile, FMT1, buf+ii);
pot->f = initInterpolationObject(nRho, x0, dRho, buf);
// Read electron density rho(r)
for (int ii=0; ii<nR; ++ii)
fscanf(potFile, FMT1, buf+ii);
pot->rho = initInterpolationObject(nR, x0, dR, buf);
// Read phi(r)*r and convert to phi(r)
for (int ii=0; ii<nR; ++ii)
fscanf(potFile, FMT1, buf+ii);
for (int ii=1; ii<nR; ++ii)
{
real_t r = x0 + ii*dR;
buf[ii] /= r;
}
buf[0] = buf[1] + (buf[1] - buf[2]); // Linear interpolation to get phi[0].
pot->phi = initInterpolationObject(nR, x0, dR, buf);
comdFree(buf);
// write to text file for comparison, currently commented out
/* printPot(pot->f, "SetflDataF.txt"); */
/* printPot(pot->rho, "SetflDataRho.txt"); */
/* printPot(pot->phi, "SetflDataPhi.txt"); */
}
/// Reads potential data from a funcfl file and populates
/// corresponding members and InterpolationObjects in an EamPotential.
///
/// funcfl is a file format for tabulated potential functions used by
/// the original EAM code DYNAMO. A funcfl file contains an EAM
/// potential for a single element.
///
/// The contents of a funcfl file are:
///
/// | Line Num | Description
/// | :------: | :----------
/// | 1 | comments
/// | 2 | elem amass latConstant latType
/// | 3 | nrho drho nr dr rcutoff
/// | 4 | embedding function values F(rhobar) starting at rhobar=0
/// | ... | (nrho values. Multiple values per line allowed.)
/// | x' | electrostatic interation Z(r) starting at r=0
/// | ... | (nr values. Multiple values per line allowed.)
/// | y' | electron density values rho(r) starting at r=0
/// | ... | (nr values. Multiple values per line allowed.)
///
/// Where:
/// - elem : atomic number for this element
/// - amass : atomic mass for this element in AMU
/// - latConstant : lattice constant for this elemnent in Angstroms
/// - lattticeType : lattice type for this element (e.g. FCC)
/// - nrho : number of values for the embedding function, F(rhobar)
/// - drho : table spacing for rhobar
/// - nr : number of values for Z(r) and rho(r)
/// - dr : table spacing for r in Angstroms
/// - rcutoff : potential cut-off distance in Angstroms
///
/// funcfl format stores the "electrostatic interation" Z(r). This needs to
/// be converted to the pair potential phi(r).
/// using the formula
/// \f[phi = Z(r) * Z(r) / r\f]
/// NB: phi is not defined for r = 0
///
/// Z(r) is in atomic units (i.e., sqrt[Hartree * bohr]) so it is
/// necesary to convert to eV.
///
/// F(rhobar) is in eV.
///
void eamReadFuncfl(EamPotential* pot, const char* dir, const char* potName)
{
char tmp[4096];
sprintf(tmp, "%s/%s", dir, potName);
FILE* potFile = fopen(tmp, "r");
if (potFile == NULL)
fileNotFound("eamReadFuncfl", tmp);
// line 1
fgets(tmp, sizeof(tmp), potFile);
char name[3];
sscanf(tmp, "%s", name);
strcpy(pot->name, name);
// line 2
int nAtomic;
double mass, lat;
char latticeType[8];
fgets(tmp,sizeof(tmp),potFile);
sscanf(tmp, "%d %le %le %s", &nAtomic, &mass, &lat, latticeType);
pot->atomicNo = nAtomic;
pot->lat = lat;
pot->mass = mass*amuToInternalMass; // file has mass in AMU.
strcpy(pot->latticeType, latticeType);
// line 3
int nRho, nR;
double dRho, dR, cutoff;
fgets(tmp,sizeof(tmp),potFile);
sscanf(tmp, "%d %le %d %le %le", &nRho, &dRho, &nR, &dR, &cutoff);
pot->cutoff = cutoff;
real_t x0 = 0.0; // tables start at zero.
// allocate read buffer
int bufSize = MAX(nRho, nR);
real_t* buf = comdMalloc(bufSize * sizeof(real_t));
// read embedding energy
for (int ii=0; ii<nRho; ++ii)
fscanf(potFile, FMT1, buf+ii);
pot->f = initInterpolationObject(nRho, x0, dRho, buf);
// read Z(r) and convert to phi(r)
for (int ii=0; ii<nR; ++ii)
fscanf(potFile, FMT1, buf+ii);
for (int ii=1; ii<nR; ++ii)
{
real_t r = x0 + ii*dR;
buf[ii] *= buf[ii] / r;
buf[ii] *= hartreeToEv * bohrToAngs; // convert to eV
}
buf[0] = buf[1] + (buf[1] - buf[2]); // linear interpolation to get phi[0].
pot->phi = initInterpolationObject(nR, x0, dR, buf);
// read electron density rho
for (int ii=0; ii<nR; ++ii)
fscanf(potFile, FMT1, buf+ii);
pot->rho = initInterpolationObject(nR, x0, dR, buf);
comdFree(buf);
/* printPot(pot->f, "funcflDataF.txt"); */
/* printPot(pot->rho, "funcflDataRho.txt"); */
/* printPot(pot->phi, "funcflDataPhi.txt"); */
}
void fileNotFound(const char* callSite, const char* filename)
{
fprintf(screenOut,
"%s: Can't open file %s. Fatal Error.\n", callSite, filename);
exit(-1);
}
void notAlloyReady(const char* callSite)
{
fprintf(screenOut,
"%s: CoMD 1.1 does not support alloys and cannot\n"
" read setfl files with multiple species. Fatal Error.\n", callSite);
exit(-1);
}
void typeNotSupported(const char* callSite, const char* type)
{
fprintf(screenOut,
"%s: Potential type %s not supported. Fatal Error.\n", callSite, type);
exit(-1);
}
|
8.norace5.c | // RUN: clang %loadLLOV %s -o /dev/null 2>&1 | FileCheck %s
#include <omp.h>
#define M 200
#define N 200
int main() {
double A[M], B[M][N], C[N], sum = 0.0;
int id;
#pragma omp parallel for firstprivate(sum) lastprivate(id)
for (int i = 0; i < M; i++) {
for (int j = 0; j < N; j++) {
sum += B[i][j] * C[j];
}
A[i] = sum;
sum = 0.0;
id = omp_get_thread_num();
}
return id;
}
// CHECK: Region is Data Race Free.
// END
|
Fig_7.4_schroProg_full.c | //
// Schrodingers racy program ... is the cat dead or alive?
//
// You can use atomics and make the program race free, or comment out
// the atomics and run with a race condition. It works in both cases
//
// History: Written by Tim Mattson, Feb 2019
//
#include <stdbool.h>
#include <stdio.h>
#include <sys/time.h>
#include <omp.h>
// random number generator parameters
// (from numerical recipies)
#define MULT 4096
#define ADD 150889
#define MOD 714025
#define NTRIALS 10
// seed the pseudo random sequence with time of day
void seedIt(long *val)
{
struct timeval tv;
gettimeofday(&tv, NULL);
*val = (long)tv.tv_usec;
}
// Linear congruential random number generator
long nextRan(long last)
{
long next;
next = (long) (MULT * last + ADD) % MOD;
return next;
}
// flip a coin ... heads (true) or tails (false)
bool flip(long *coin)
{
*coin = nextRan(*coin);
if (*coin > MOD/2)
return true;
else
return false;
}
// wait a short random amount of time
double waitAbit()
{
double val= 0.0;
long i, count, rand;
seedIt(&rand);
count = nextRan(rand);
// do some math to make us wait a while
for (i = 0; i<count; i++){
rand = nextRan(rand);
val += (double)rand/((double)MULT);
}
return val;
}
int main()
{
double wait_val;
long rand,i, dcount= 0, lcount=0;
int dead_or_alive;
for(i=0; i<NTRIALS; i++){
#pragma omp parallel num_threads(2) shared(dead_or_alive)
{
if(omp_get_thread_num() == 0)
{
printf(" with %d threads\n",omp_get_num_threads());
printf("Schrodingers program says the cat is ");
}
#pragma omp single
{
// "flip a coin" to choose which task is for the dead
// cat and which for the living cat.
long coin;
seedIt(&coin);
bool HorT = flip(&coin);
// without the atomics, these tasks are participating in a
// data race, but the program logic works fine if the actual
// value is messed up since in C any int other than 1 is false
#pragma omp task
{
double val = waitAbit();
// a store of a single machine word (bool)
// #pragma omp atomic write
dead_or_alive = HorT;
}
#pragma omp task
{
double val = waitAbit();
// a store of a single machine word (bool)
// #pragma omp atomic write
dead_or_alive = !HorT;
}
}
}
if(dead_or_alive){
printf(" alive. %d\n",(int)dead_or_alive);
lcount++;
}
else {
printf(" dead. %d\n",(int)dead_or_alive);
dcount++;
}
} // end loop over trials (for testing only)
printf("dead %d times and alive %d times \n",dcount, lcount);
return 0;
}
|
my_arrays.c | #include "my_arrays.h"
#include <stdlib.h>
#include <math.h>
#include <malloc.h>
#include <stdio.h>
#include <time.h>
#include <limits.h>
#include <omp.h>
// ----------------------------------------------------------------__
float *float_array_allocate_memory(int size) {
float *array = (float*) malloc(size * sizeof(float));
return array;
};
double *double_array_allocate_memory(int size) {
double *array = (double*) malloc(size * sizeof(double));
return array;
};
float complex *complex64_array_allocate_memory(int size) {
float complex *array = (float complex*) malloc(size * sizeof(float complex));
return array;
};
double complex *complex128_array_allocate_memory(int size) {
double complex *array = (double complex*) malloc(size * sizeof(double complex));
return array;
};
float **float_matrix_allocate_memory(int nrows, int ncols) {
float **matrix = (float **) malloc(nrows * sizeof(float *));
for (int index = 0; index < nrows; index++) {
matrix[index] = (float *) malloc(ncols * sizeof(float));
}
return matrix;
};
double **double_matrix_allocate_memory(int nrows, int ncols) {
double **matrix = (double **) malloc(nrows * sizeof(double *));
for (int index = 0; index < nrows; index++) {
matrix[index] = (double *) malloc(ncols * sizeof(double));
}
return matrix;
};
float complex **complex64_matrix_allocate_memory(int nrows, int ncols) {
float complex **matrix = (float complex **) malloc(nrows * sizeof(float complex *));
for (int index = 0; index < nrows; index++) {
matrix[index] = (float complex *) malloc(ncols * sizeof(float complex));
}
return matrix;
};
double complex **complex128_matrix_allocate_memory(int nrows, int ncols) {
double complex **matrix = (double complex **) malloc(nrows * sizeof(double complex *));
for (int index = 0; index < nrows; index++) {
matrix[index] = (double complex *) malloc(ncols * sizeof(double complex));
}
return matrix;
};
float ***float_3tensor_allocate_memory(int nrows, int ncols, int nmats) {
float ***tensor = (float ***) malloc(nmats * sizeof(float **));
for (int matrix = 0; matrix < nmats; matrix++) {
tensor[matrix] = (float **) malloc(nrows * sizeof(float *));
for (int row = 0; row < nrows; row++) {
tensor[matrix][row] = (float *) malloc(ncols * sizeof(float));
}
}
return tensor;
};
double ***double_3tensor_allocate_memory(int nrows, int ncols, int nmats) {
double ***tensor = (double ***) malloc(nmats * sizeof(double **));
for (int matrix = 0; matrix < nmats; matrix++) {
tensor[matrix] = (double **) malloc(nrows * sizeof(double *));
for (int row = 0; row < nrows; row++) {
tensor[matrix][row] = (double *) malloc(ncols * sizeof(double));
}
}
return tensor;
};
float complex ***complex64_3tensor_allocate_memory(int nrows, int ncols, int nmats) {
float complex ***tensor = (float complex ***) malloc(nmats * sizeof(float complex **));
for (int matrix = 0; matrix < nmats; matrix++) {
tensor[matrix] = (float complex **) malloc(nrows * sizeof(float complex *));
for (int row = 0; row < nrows; row++) {
tensor[matrix][row] = (float complex *) malloc(ncols * sizeof(float complex));
}
}
return tensor;
};
double complex ***complex128_3tensor_allocate_memory(int nrows, int ncols, int nmats) {
double complex ***tensor = (double complex ***) malloc(nmats * sizeof(double complex **));
for (int matrix = 0; matrix < nmats; matrix++) {
tensor[matrix] = (double complex **) malloc(nrows * sizeof(double complex *));
for (int row = 0; row < nrows; row++) {
tensor[matrix][row] = (double complex *) malloc(ncols * sizeof(double complex));
}
}
return tensor;
};
// -------------------------------------------------------------
// Free memory -------------------------------------------------
void float_array_free_memory(float *array) {
free(array);
};
void double_array_free_memory(double *array) {
free(array);
};
void complex64_array_free_memory(float complex *array) {
free(array);
};
void complex128_array_free_memory(double complex *array) {
free(array);
};
void float_matrix_free_memory(float **array, int nrows) {
for (int index = 0; index < nrows; index++) {
free(array[index]);
}
free(array);
};
void double_matrix_free_memory(double **array, int nrows) {
for (int index = 0; index < nrows; index++) {
free(array[index]);
}
free(array);
};
void complex64_matrix_free_memory(float complex **array, int nrows) {
for (int index = 0; index < nrows; index++) {
free(array[index]);
}
free(array);
};
void complex128_matrix_free_memory(double complex **array, int nrows) {
for (int index = 0; index < nrows; index++) {
free(array[index]);
}
free(array);
};
void float_3tensor_free_memory(float ***tensor, int nmats, int nrows) {
for (int matrix = 0; matrix < nmats; matrix++) {
for (int row = 0; row < nrows; row++) {
free(tensor[matrix][row]);
}
free(tensor[matrix]);
}
free(tensor);
};
void double_3tensor_free_memory(double ***tensor, int nmats, int nrows) {
for (int matrix = 0; matrix < nmats; matrix++) {
for (int row = 0; row < nrows; row++) {
free(tensor[matrix][row]);
}
free(tensor[matrix]);
}
free(tensor);
};
void complex64_3tensor_free_memory(float complex ***tensor, int nmats, int nrows) {
for (int matrix = 0; matrix < nmats; matrix++) {
for (int row = 0; row < nrows; row++) {
free(tensor[matrix][row]);
}
free(tensor[matrix]);
}
free(tensor);
};
void complex128_3tensor_free_memory(double complex ***tensor, int nmats, int nrows) {
for (int matrix = 0; matrix < nmats; matrix++) {
for (int row = 0; row < nrows; row++) {
free(tensor[matrix][row]);
}
free(tensor[matrix]);
}
free(tensor);
};
// -------------------------------------------------------------
// Apply func to two arrays ------------------------------------
void float_array_apply_array(float *array_1, float *array_2, float *array_res, int size, float (*function)(float, float)) {
int index;
#pragma omp for
for (index = 0; index < size; index++) {
array_res[index] = function(array_1[index], array_2[index]);
}
};
void double_array_apply_array(double *array_1, double *array_2, double *array_res, int size, double (*function)(double, double)) {
int index;
#pragma omp for
for (index = 0; index < size; index++) {
array_res[index] = function(array_1[index], array_2[index]);
}
};
void complex64_array_apply_array(float complex *array_1, float complex *array_2, float complex *array_res, int size, float complex (*function)(float complex, float complex)) {
int index;
#pragma omp for
for (index = 0; index < size; index++) {
array_res[index] = function(array_1[index], array_2[index]);
}
};
void complex128_array_apply_array(double complex *array_1, double complex *array_2, double complex *array_res, int size, double complex (*function)(double complex, double complex)) {
int index;
#pragma omp for
for (index = 0; index < size; index++) {
array_res[index] = function(array_1[index], array_2[index]);
}
};
void float_matrix_apply_matrix(float **array_1, float **array_2, float **array_res, int nrows, int ncols, float (*function)(float, float)) {
int row;
omp_set_num_threads(1);
#pragma omp parallel for shared(array_1, array_2, array_res) private(row)
for (row = 0; row < nrows; row++) {
float_array_apply_array(array_1[row], array_2[row], array_res[row], ncols, function);
}
};
void double_matrix_apply_matrix(double **array_1, double **array_2, double **array_res, int nrows, int ncols, double (*function)(double, double)) {
int row;
omp_set_num_threads(1);
#pragma omp parallel for shared(array_1, array_2, array_res) private(row)
for (row = 0; row < nrows; row++) {
double_array_apply_array(array_1[row], array_2[row], array_res[row], ncols, function);
}
};
void complex64_matrix_apply_matrix(float complex **array_1, float complex **array_2, float complex **array_res, int nrows, int ncols, float complex (*function)(float complex, float complex)) {
int row;
omp_set_num_threads(1);
#pragma omp parallel for shared(array_1, array_2, array_res) private(row)
for (row = 0; row < nrows; row++) {
complex64_array_apply_array(array_1[row], array_2[row], array_res[row], ncols, function);
}
};
void complex128_matrix_apply_matrix(double complex **array_1, double complex **array_2, double complex **array_res, int nrows, int ncols, double complex (*function)(double complex, double complex)) {
int row;
omp_set_num_threads(1);
#pragma omp parallel for shared(array_1, array_2, array_res) private(row)
for (row = 0; row < nrows; row++) {
complex128_array_apply_array(array_1[row], array_2[row], array_res[row], ncols, function);
}
};
// -------------------------------------------------------------
// -------------------------------------------------------------
// Sum two arrays ----------------------------------------------
void float_array_sum_array(float *array_1, float *array_2, float *array_res, int size) {
int index;
#pragma omp for
for (index = 0; index < size; index++) {
array_res[index] = array_1[index] + array_2[index];
}
};
void double_array_sum_array(double *array_1, double *array_2, double *array_res, int size) {
int index;
#pragma omp for
for (index = 0; index < size; index++) {
array_res[index] = array_1[index] + array_2[index];
}
};
void complex64_array_sum_array(float complex *array_1, float complex *array_2, float complex *array_res, int size) {
int index;
#pragma omp for
for (index = 0; index < size; index++) {
array_res[index] = array_1[index] + array_2[index];
}
};
void complex128_array_sum_array(double complex *array_1, double complex *array_2, double complex *array_res, int size) {
int index;
#pragma omp for
for (index = 0; index < size; index++) {
array_res[index] = array_1[index] + array_2[index];
}
};
void float_matrix_sum_matrix(float **array_1, float **array_2, float **array_res, int nrows, int ncols) {
int row;
omp_set_num_threads(1);
#pragma omp parallel for shared(array_1, array_2, array_res) private(row)
for (row = 0; row < nrows; row++) {
float_array_sum_array(array_1[row], array_2[row], array_res[row], ncols);
}
};
void double_matrix_sum_matrix(double **array_1, double **array_2, double **array_res, int nrows, int ncols) {
int row;
omp_set_num_threads(1);
#pragma omp parallel for shared(array_1, array_2, array_res) private(row)
for (row = 0; row < nrows; row++) {
double_array_sum_array(array_1[row], array_2[row], array_res[row], ncols);
}
};
void complex64_matrix_sum_matrix(float complex **array_1, float complex **array_2, float complex **array_res, int nrows, int ncols) {
int row;
omp_set_num_threads(1);
#pragma omp parallel for shared(array_1, array_2, array_res) private(row)
for (row = 0; row < nrows; row++) {
complex64_array_sum_array(array_1[row], array_2[row], array_res[row], ncols);
}
};
void complex128_matrix_sum_matrix(double complex **array_1, double complex **array_2, double complex **array_res, int nrows, int ncols) {
int row;
omp_set_num_threads(1);
#pragma omp parallel for shared(array_1, array_2, array_res) private(row)
for (row = 0; row < nrows; row++) {
complex128_array_sum_array(array_1[row], array_2[row], array_res[row], ncols);
}
};
// -------------------------------------------------------------
// -------------------------------------------------------------
// Prod two arrays ---------------------------------------------
void float_array_prod_array(float *array_1, float *array_2, float *array_res, int size) {
int index;
#pragma omp for
for (index = 0; index < size; index++) {
array_res[index] = array_1[index] * array_2[index];
}
};
void double_array_prod_array(double *array_1, double *array_2, double *array_res, int size) {
int index;
#pragma omp for
for (index = 0; index < size; index++) {
array_res[index] = array_1[index] * array_2[index];
}
};
void complex64_array_prod_array(float complex *array_1, float complex *array_2, float complex *array_res, int size) {
int index;
#pragma omp for
for (index = 0; index < size; index++) {
array_res[index] = array_1[index] * array_2[index];
}
};
void complex128_array_prod_array(double complex *array_1, double complex *array_2, double complex *array_res, int size) {
int index;
#pragma omp for
for (index = 0; index < size; index++) {
array_res[index] = array_1[index] * array_2[index];
}
};
void float_matrix_prod_matrix(float **array_1, float **array_2, float **array_res, int nrows, int ncols) {
int row;
omp_set_num_threads(1);
#pragma omp parallel for shared(array_1, array_2, array_res) private(row)
for (row = 0; row < nrows; row++) {
float_array_prod_array(array_1[row], array_2[row], array_res[row], ncols);
}
};
void double_matrix_prod_matrix(double **array_1, double **array_2, double **array_res, int nrows, int ncols) {
int row;
omp_set_num_threads(1);
#pragma omp parallel for shared(array_1, array_2, array_res) private(row)
for (row = 0; row < nrows; row++) {
double_array_prod_array(array_1[row], array_2[row], array_res[row], ncols);
}
};
void complex64_matrix_prod_matrix(float complex **array_1, float complex **array_2, float complex **array_res, int nrows, int ncols) {
int row;
omp_set_num_threads(1);
#pragma omp parallel for shared(array_1, array_2, array_res) private(row)
for (row = 0; row < nrows; row++) {
complex64_array_prod_array(array_1[row], array_2[row], array_res[row], ncols);
}
};
void complex128_matrix_prod_matrix(double complex **array_1, double complex **array_2, double complex **array_res, int nrows, int ncols) {
int row;
omp_set_num_threads(1);
#pragma omp parallel for shared(array_1, array_2, array_res) private(row)
for (row = 0; row < nrows; row++) {
complex128_array_prod_array(array_1[row], array_2[row], array_res[row], ncols);
}
};
// -------------------------------------------------------------
// -------------------------------------------------------------
// Div two arrays ----------------------------------------------
void float_array_div_array(float *array_1, float *array_2, float *array_res, int size) {
int index;
#pragma omp for
for (index = 0; index < size; index++) {
array_res[index] = array_1[index] / array_2[index];
}
};
void double_array_div_array(double *array_1, double *array_2, double *array_res, int size) {
int index;
#pragma omp for
for (index = 0; index < size; index++) {
array_res[index] = array_1[index] / array_2[index];
}
};
void complex64_array_div_array(float complex *array_1, float complex *array_2, float complex *array_res, int size) {
int index;
#pragma omp for
for (index = 0; index < size; index++) {
array_res[index] = array_1[index] / array_2[index];
}
};
void complex128_array_div_array(double complex *array_1, double complex *array_2, double complex *array_res, int size) {
int index;
#pragma omp for
for (index = 0; index < size; index++) {
array_res[index] = array_1[index] / array_2[index];
}
};
void float_matrix_div_matrix(float **array_1, float **array_2, float **array_res, int nrows, int ncols) {
int row;
omp_set_num_threads(1);
#pragma omp parallel for shared(array_1, array_2, array_res) private(row)
for (row = 0; row < nrows; row++) {
float_array_div_array(array_1[row], array_2[row], array_res[row], ncols);
}
};
void double_matrix_div_matrix(double **array_1, double **array_2, double **array_res, int nrows, int ncols) {
int row;
omp_set_num_threads(1);
#pragma omp parallel for shared(array_1, array_2, array_res) private(row)
for (row = 0; row < nrows; row++) {
double_array_div_array(array_1[row], array_2[row], array_res[row], ncols);
}
};
void complex64_matrix_div_matrix(float complex **array_1, float complex **array_2, float complex **array_res, int nrows, int ncols) {
int row;
omp_set_num_threads(1);
#pragma omp parallel for shared(array_1, array_2, array_res) private(row)
for (row = 0; row < nrows; row++) {
complex64_array_div_array(array_1[row], array_2[row], array_res[row], ncols);
}
};
void complex128_matrix_div_matrix(double complex **array_1, double complex **array_2, double complex **array_res, int nrows, int ncols) {
int row;
omp_set_num_threads(1);
#pragma omp parallel for shared(array_1, array_2, array_res) private(row)
for (row = 0; row < nrows; row++) {
complex128_array_div_array(array_1[row], array_2[row], array_res[row], ncols);
}
};
// -------------------------------------------------------------
// -------------------------------------------------------------
// Diff two arrays ---------------------------------------------
void float_array_diff_array(float *array_1, float *array_2, float *array_res, int size) {
int index;
#pragma omp for
for (index = 0; index < size; index++) {
array_res[index] = array_1[index] - array_2[index];
}
};
void double_array_diff_array(double *array_1, double *array_2, double *array_res, int size) {
int index;
#pragma omp for
for (index = 0; index < size; index++) {
array_res[index] = array_1[index] - array_2[index];
}
};
void complex64_array_diff_array(float complex *array_1, float complex *array_2, float complex *array_res, int size) {
int index;
#pragma omp for
for (index = 0; index < size; index++) {
array_res[index] = array_1[index] - array_2[index];
}
};
void complex128_array_diff_array(double complex *array_1, double complex *array_2, double complex *array_res, int size) {
int index;
#pragma omp for
for (index = 0; index < size; index++) {
array_res[index] = array_1[index] - array_2[index];
}
};
void float_matrix_diff_matrix(float **array_1, float **array_2, float **array_res, int nrows, int ncols) {
int row;
omp_set_num_threads(1);
#pragma omp parallel for shared(array_1, array_2, array_res) private(row)
for (row = 0; row < nrows; row++) {
float_array_diff_array(array_1[row], array_2[row], array_res[row], ncols);
}
};
void double_matrix_diff_matrix(double **array_1, double **array_2, double **array_res, int nrows, int ncols) {
int row;
omp_set_num_threads(1);
#pragma omp parallel for shared(array_1, array_2, array_res) private(row)
for (row = 0; row < nrows; row++) {
double_array_diff_array(array_1[row], array_2[row], array_res[row], ncols);
}
};
void complex64_matrix_diff_matrix(float complex **array_1, float complex **array_2, float complex **array_res, int nrows, int ncols) {
int row;
omp_set_num_threads(1);
#pragma omp parallel for shared(array_1, array_2, array_res) private(row)
for (row = 0; row < nrows; row++) {
complex64_array_diff_array(array_1[row], array_2[row], array_res[row], ncols);
}
};
void complex128_matrix_diff_matrix(double complex **array_1, double complex **array_2, double complex **array_res, int nrows, int ncols) {
int row;
omp_set_num_threads(1);
#pragma omp parallel for shared(array_1, array_2, array_res) private(row)
for (row = 0; row < nrows; row++) {
complex128_array_diff_array(array_1[row], array_2[row], array_res[row], ncols);
}
};
// -------------------------------------------------------------
// -------------------------------------------------------------
// array fill random value -------------------------------------
void float_array_fill_random_uniform(float *array, int size, float from, float to, int seed) {
srand(seed);
float normalizer = (to - from) / (__INT_MAX__ * 1.);
int index;
#pragma omp for
for (index = 0; index < size; index++) {
array[index] = rand() * normalizer + from;
}
};
void double_array_fill_random_uniform(double *array, int size, double from, double to, int seed) {
srand(seed);
double normalizer = (to - from) / (__INT_MAX__ * 1.);
int index;
#pragma omp for
for (index = 0; index < size; index++) {
array[index] = rand() * normalizer + from;
}
};
void complex64_array_fill_random_uniform(float complex *array, int size, float from, float to, int seed) {
srand(seed);
float normalizer = (to - from) / (__INT_MAX__ * 1.);
int index;
#pragma omp for
for (index = 0; index < size; index++) {
array[index] = (rand() * normalizer + from) + I * (rand() * normalizer + from);
}
};
void complex128_array_fill_random_uniform(double complex *array, int size, double from, double to, int seed) {
srand(seed);
double normalizer = (to - from) / (__INT_MAX__ * 1.);
int index;
#pragma omp for
for (index = 0; index < size; index++) {
array[index] = (rand() * normalizer + from) + I * (rand() * normalizer + from);
}
};
void float_matrix_fill_random_uniform(float **array, int nrows, int ncols, float from, float to, int seed) {
srand(seed);
int row;
omp_set_num_threads(1);
#pragma omp parallel for shared(array) private(row)
for (row = 0; row < nrows; row++) {
float_array_fill_random_uniform(array[row], ncols, from, to, row + 1);
}
};
void double_matrix_fill_random_uniform(double **array, int nrows, int ncols, double from, double to, int seed) {
srand(seed);
int row;
omp_set_num_threads(1);
#pragma omp parallel for shared(array) private(row)
for (row = 0; row < nrows; row++) {
double_array_fill_random_uniform(array[row], ncols, from, to, row + 1);
}
};
void complex64_matrix_fill_random_uniform(float complex **array, int nrows, int ncols, float from, float to, int seed) {
srand(seed);
int row;
omp_set_num_threads(1);
#pragma omp parallel for shared(array) private(row)
for (row = 0; row < nrows; row++) {
complex64_array_fill_random_uniform(array[row], ncols, from, to, row + 1);
}
};
void complex128_matrix_fill_random_uniform(double complex **array, int nrows, int ncols, double from, double to, int seed) {
srand(seed);
int row;
omp_set_num_threads(1);
#pragma omp parallel for shared(array) private(row)
for (row = 0; row < nrows; row++) {
complex128_array_fill_random_uniform(array[row], ncols, from, to, row + 1);
}
};
// ----------------------------------------------------------------__
float float_array_dot_array(float *array_1, float *array_2, int size) {
float result = 0.;
int index;
#pragma omp for
for (index = 0; index < size; index++) {
result += array_1[index] * array_2[index];
}
return result;
};
double double_array_dot_array(double *array_1, double *array_2, int size) {
double result = 0.;
int index;
#pragma omp for
for (index = 0; index < size; index++) {
result += array_1[index] * array_2[index];
}
return result;
};
float complex complex64_array_dot_array(float complex *array_1, float complex *array_2, int size) {
float complex result = 0.;
int index;
#pragma omp for
for (index = 0; index < size; index++) {
result += array_1[index] * array_2[index];
}
return result;
};
double complex complex128_array_dot_array(double complex *array_1, double complex *array_2, int size) {
double complex result = 0.;
int index;
#pragma omp for
for (index = 0; index < size; index++) {
result += array_1[index] * array_2[index];
}
return result;
};
void float_matrix_array_multiplication(float **matrix, float *array, float *result, int nrows, int ncols) {
int row;
omp_set_num_threads(1);
#pragma omp parallel for shared(matrix, array, result) private(row)
for (row = 0; row < nrows; row++) {
result[row] = float_array_dot_array(matrix[row], array, ncols);
}
};
void double_matrix_array_multiplication(double **matrix, double *array, double *result, int nrows, int ncols) {
int row;
omp_set_num_threads(1);
#pragma omp parallel for shared(matrix, array, result) private(row)
for (row = 0; row < nrows; row++) {
result[row] = double_array_dot_array(matrix[row], array, ncols);
}
};
void complex64_matrix_array_multiplication(float complex **matrix, float complex *array, float complex *result, int nrows, int ncols) {
int row;
omp_set_num_threads(1);
#pragma omp parallel for shared(matrix, array, result) private(row)
for (row = 0; row < nrows; row++) {
result[row] = complex64_array_dot_array(matrix[row], array, ncols);
}
};
void complex128_matrix_array_multiplication(double complex **matrix, double complex *array, double complex *result, int nrows, int ncols) {
int row;
omp_set_num_threads(1);
#pragma omp parallel for shared(matrix, array, result) private(row)
for (row = 0; row < nrows; row++) {
result[row] = complex128_array_dot_array(matrix[row], array, ncols);
}
};
// ----------------------------------------------------------------__
void float_array_print(float *array, int size) {
if (size > 0) {
printf("[%.5f", array[0]);
if (size <= 10) {
for (int i = 1; i < size; i++) {
printf(", %.5f", array[i]);
}
} else {
for (int i = 1; i < 3; i++) {
printf(", %.5f", array[i]);
}
printf(", ...");
for (int i = size - 3; i < size; i++) {
printf(", %.5f", array[i]);
}
}
printf("]\n");
} else {
printf("None array \n");
}
};
void double_array_print(double *array, int size) {
if (size > 0) {
printf("[%.5lf", array[0]);
if (size <= 10) {
for (int i = 1; i < size; i++) {
printf(", %.5lf", array[i]);
}
} else {
for (int i = 1; i < 3; i++) {
printf(", %.5lf", array[i]);
}
printf(", ...");
for (int i = size - 3; i < size; i++) {
printf(", %.5lf", array[i]);
}
}
printf("]\n");
} else {
printf("None array \n");
}
};
void complex64_array_print(float complex *array, int size) {
if (size > 0) {
printf("[(%.4lf) + i(%.4lf)", crealf(array[0]), cimagf(array[0]));
if (size <= 8) {
for (int i = 1; i < size; i++) {
printf(", (%.4lf) + i(%.4lf)", crealf(array[i]), cimagf(array[i]));
}
} else {
for (int i = 1; i < 2; i++) {
printf(", (%.4lf) + i(%.4lf)", crealf(array[i]), cimagf(array[i]));
}
printf(", ...");
for (int i = size - 2; i < size; i++) {
printf(", (%.4lf) + i(%.4lf)", crealf(array[i]), cimagf(array[i]));
}
}
printf("]\n");
} else {
printf("None array \n");
}
};
void complex128_array_print(double complex *array, int size) {
if (size > 0) {
printf("[(%.4lf) + i(%.4lf)", creal(array[0]), cimag(array[0]));
if (size <= 8) {
for (int i = 1; i < size; i++) {
printf(", (%.4lf) + i(%.4lf)", creal(array[i]), cimag(array[i]));
}
} else {
for (int i = 1; i < 2; i++) {
printf(", (%.4lf) + i(%.4lf)", creal(array[i]), cimag(array[i]));
}
printf(", ...");
for (int i = size - 2; i < size; i++) {
printf(", (%.4lf) + i(%.4lf)", creal(array[i]), cimag(array[i]));
}
}
printf("]\n");
} else {
printf("None array \n");
}
};
void float_matrix_print(float **matrix, int nrows, int ncols) {
if (nrows > 0 || ncols > 0) {
printf("\nfloat matrix:\n");
if (nrows <= 10) {
for (int row = 0; row < nrows; row++) {
printf("| ");
float_array_print(matrix[row], ncols);
}
} else {
for (int row = 0; row < 3; row++) {
printf("| ");
float_array_print(matrix[row], ncols);
}
printf("| ...\n");
for (int row = nrows - 3; row < nrows; row++) {
printf("| ");
float_array_print(matrix[row], ncols);
}
}
printf("\n");
} else {
printf("\nNone matrix\n");
}
};
void double_matrix_print(double **matrix, int nrows, int ncols) {
if (nrows > 0 || ncols > 0) {
printf("\ndouble matrix:\n");
if (nrows <= 10) {
for (int row = 0; row < nrows; row++) {
printf("| ");
double_array_print(matrix[row], ncols);
}
} else {
for (int row = 0; row < 3; row++) {
printf("| ");
double_array_print(matrix[row], ncols);
}
printf("| ...\n");
for (int row = nrows - 3; row < nrows; row++) {
printf("| ");
double_array_print(matrix[row], ncols);
}
}
printf("\n");
} else {
printf("\nNone matrix\n");
}
};
void complex64_matrix_print(float complex **matrix, int nrows, int ncols) {
if (nrows > 0 || ncols > 0) {
printf("\ncmplx64 matrix:\n");
if (nrows <= 8) {
for (int row = 0; row < nrows; row++) {
printf("| ");
complex64_array_print(matrix[row], ncols);
}
} else {
for (int row = 0; row < 3; row++) {
printf("| ");
complex64_array_print(matrix[row], ncols);
}
printf("| ...\n");
for (int row = nrows - 3; row < nrows; row++) {
printf("| ");
complex64_array_print(matrix[row], ncols);
}
}
printf("\n");
} else {
printf("\nNone matrix\n");
}
};
void complex128_matrix_print(double complex **matrix, int nrows, int ncols) {
if (nrows > 0 || ncols > 0) {
printf("\ncmplx128 matrix:\n");
if (nrows <= 8) {
for (int row = 0; row < nrows; row++) {
printf("| ");
complex128_array_print(matrix[row], ncols);
}
} else {
for (int row = 0; row < 3; row++) {
printf("| ");
complex128_array_print(matrix[row], ncols);
}
printf("| ...\n");
for (int row = nrows - 3; row < nrows; row++) {
printf("| ");
complex128_array_print(matrix[row], ncols);
}
}
printf("\n");
} else {
printf("\nNone matrix\n");
}
}; |
GB_unaryop__abs_fp64_uint64.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_fp64_uint64
// op(A') function: GB_tran__abs_fp64_uint64
// C type: double
// A type: uint64_t
// cast: double cij = (double) aij
// unaryop: cij = fabs (aij)
#define GB_ATYPE \
uint64_t
#define GB_CTYPE \
double
// 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 = fabs (x) ;
// casting
#define GB_CASTING(z, x) \
double z = (double) x ;
// cij = op (cast (aij))
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
GB_GETA (aij, Ax, pA) ; \
/* Cx [pC] = op (cast (aij)) */ \
GB_CASTING (x, aij) ; \
GB_OP (GB_CX (pC), x) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_ABS || GxB_NO_FP64 || GxB_NO_UINT64)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop__abs_fp64_uint64
(
double *restrict Cx,
const uint64_t *restrict Ax,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (int64_t p = 0 ; p < anz ; p++)
{
GB_CAST_OP (p, p) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_tran__abs_fp64_uint64
(
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__lor_fp32.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__lor_fp32
// A.*B function (eWiseMult): GB_AemultB__lor_fp32
// A*D function (colscale): GB_AxD__lor_fp32
// D*A function (rowscale): GB_DxB__lor_fp32
// C+=B function (dense accum): GB_Cdense_accumB__lor_fp32
// C+=b function (dense accum): GB_Cdense_accumb__lor_fp32
// C+=A+B function (dense ewise3): (none)
// C=A+B function (dense ewise3): GB_Cdense_ewise3_noaccum__lor_fp32
// C=scalar+B GB_bind1st__lor_fp32
// C=scalar+B' GB_bind1st_tran__lor_fp32
// C=A+scalar GB_bind2nd__lor_fp32
// C=A'+scalar GB_bind2nd_tran__lor_fp32
// C type: float
// A type: float
// B,b type: float
// BinaryOp: cij = ((aij != 0) || (bij != 0))
#define GB_ATYPE \
float
#define GB_BTYPE \
float
#define GB_CTYPE \
float
// 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) \
float aij = Ax [pA]
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB) \
float bij = Bx [pB]
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
float 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 = ((x != 0) || (y != 0)) ;
// op is second
#define GB_OP_IS_SECOND \
0
// op is plus_fp32 or plus_fp64
#define GB_OP_IS_PLUS_REAL \
0
// op is minus_fp32 or minus_fp64
#define GB_OP_IS_MINUS_REAL \
0
// GB_cblas_*axpy gateway routine, if it exists for this operator and type:
#define GB_CBLAS_AXPY \
(none)
// do the numerical phases of GB_add and GB_emult
#define GB_PHASE_2_OF_2
// hard-coded loops can be vectorized
#define GB_PRAGMA_SIMD_VECTORIZE GB_PRAGMA_SIMD
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_LOR || GxB_NO_FP32 || GxB_NO_LOR_FP32)
//------------------------------------------------------------------------------
// 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__lor_fp32
(
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__lor_fp32
(
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__lor_fp32
(
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 float
float bwork = (*((float *) 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__lor_fp32
(
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
float *GB_RESTRICT Cx = (float *) 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__lor_fp32
(
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
float *GB_RESTRICT Cx = (float *) 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__lor_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 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__lor_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 int64_t *GB_RESTRICT C_to_M,
const int64_t *GB_RESTRICT C_to_A,
const int64_t *GB_RESTRICT C_to_B,
const GB_task_struct *GB_RESTRICT TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t *pstart_Mslice = NULL, *kfirst_Mslice = NULL, *klast_Mslice = NULL ;
int64_t *pstart_Aslice = NULL, *kfirst_Aslice = NULL, *klast_Aslice = NULL ;
int64_t *pstart_Bslice = NULL, *kfirst_Bslice = NULL, *klast_Bslice = NULL ;
#include "GB_emult_template.c"
GB_FREE_ALL ;
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (x,Bx): apply a binary operator to a matrix with scalar bind1st
//------------------------------------------------------------------------------
GrB_Info GB_bind1st__lor_fp32
(
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
float *Cx = (float *) 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 < anz ; p++)
{
if (!GBB (Bb, p)) continue ;
float bij = Bx [p] ;
Cx [p] = ((x != 0) || (bij != 0)) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB_bind2nd__lor_fp32
(
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 ;
float *Cx = (float *) 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 = Ax [p] ;
Cx [p] = ((aij != 0) || (y != 0)) ;
}
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 = Ax [pA] ; \
Cx [pC] = ((x != 0) || (aij != 0)) ; \
}
GrB_Info GB_bind1st_tran__lor_fp32
(
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 \
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 = Ax [pA] ; \
Cx [pC] = ((aij != 0) || (y != 0)) ; \
}
GrB_Info GB_bind2nd_tran__lor_fp32
(
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
float y = (*((const float *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
cancellation_for_sections.c | // RUN: %libomp-compile && env OMP_CANCELLATION=true %libomp-run
// Clang had a bug until version 4.0.1 which resulted in a hang.
// UNSUPPORTED: clang-3, clang-4.0.0
// Regression test for a bug in cancellation to cover effect of `#pragma omp cancel`
// in a loop construct, on sections construct.
// Pass condition: Cancellation status from `for` does not persist
// to `sections`.
#include <stdio.h>
#include <omp.h>
int result[2] = {0, 0};
void cq416850_for_sections() {
unsigned i;
// 1) loop
#pragma omp for
for (i = 0; i < 1; i++) {
result[0] = 1;
#pragma omp cancel for
result[0] = 2;
}
// printf("thread %d: result[0] = %d, result[1] = %d \n", omp_get_thread_num(), result[0], result[1]);
// 2) sections
#pragma omp sections
{
#pragma omp section
{
result[1] = 1;
#pragma omp cancellation point sections
result[1] = 2;
}
}
}
int main(void) {
if(!omp_get_cancellation()) {
printf("Cancellation not enabled!\n");
return 2;
}
#pragma omp parallel num_threads(4)
{
cq416850_for_sections();
}
if (result[0] != 1 || result[1] != 2) {
printf("Incorrect values. "
"result[0] = %d (expected 1), "
"result[1] = %d (expected 2).\n",
result[0], result[1]);
printf("FAILED\n");
return 1;
}
printf("PASSED\n");
return 0;
}
|
3d7pt_var.lbpar.c | #include <omp.h>
#include <math.h>
#define ceild(n,d) ceil(((double)(n))/((double)(d)))
#define floord(n,d) floor(((double)(n))/((double)(d)))
#define max(x,y) ((x) > (y)? (x) : (y))
#define min(x,y) ((x) < (y)? (x) : (y))
/*
* Order-1, 3D 7 point stencil with variable coefficients
* Adapted from PLUTO and Pochoir test bench
*
* Tareq Malas
*/
#include <stdio.h>
#include <stdlib.h>
#include <sys/time.h>
#ifdef LIKWID_PERFMON
#include <likwid.h>
#endif
#include "print_utils.h"
#define TESTS 2
#define MAX(a,b) ((a) > (b) ? a : b)
#define MIN(a,b) ((a) < (b) ? a : b)
/* Subtract the `struct timeval' values X and Y,
* storing the result in RESULT.
*
* Return 1 if the difference is negative, otherwise 0.
*/
int timeval_subtract(struct timeval *result, struct timeval *x, struct timeval *y)
{
/* Perform the carry for the later subtraction by updating y. */
if (x->tv_usec < y->tv_usec)
{
int nsec = (y->tv_usec - x->tv_usec) / 1000000 + 1;
y->tv_usec -= 1000000 * nsec;
y->tv_sec += nsec;
}
if (x->tv_usec - y->tv_usec > 1000000)
{
int nsec = (x->tv_usec - y->tv_usec) / 1000000;
y->tv_usec += 1000000 * nsec;
y->tv_sec -= nsec;
}
/* Compute the time remaining to wait.
* tv_usec is certainly positive.
*/
result->tv_sec = x->tv_sec - y->tv_sec;
result->tv_usec = x->tv_usec - y->tv_usec;
/* Return 1 if result is negative. */
return x->tv_sec < y->tv_sec;
}
int main(int argc, char *argv[])
{
int t, i, j, k, m, test;
int Nx, Ny, Nz, Nt;
if (argc > 3) {
Nx = atoi(argv[1])+2;
Ny = atoi(argv[2])+2;
Nz = atoi(argv[3])+2;
}
if (argc > 4)
Nt = atoi(argv[4]);
// allocate the arrays
double ****A = (double ****) malloc(sizeof(double***)*2);
for(m=0; m<2;m++){
A[m] = (double ***) malloc(sizeof(double**)*Nz);
for(i=0; i<Nz; i++){
A[m][i] = (double**) malloc(sizeof(double*)*Ny);
for(j=0;j<Ny;j++){
A[m][i][j] = (double*) malloc(sizeof(double)*Nx);
}
}
}
double ****coef = (double ****) malloc(sizeof(double***)*7);
for(m=0; m<7;m++){
coef[m] = (double ***) malloc(sizeof(double**)*Nz);
for(i=0; i<Nz; i++){
coef[m][i] = (double**) malloc(sizeof(double*)*Ny);
for(j=0;j<Ny;j++){
coef[m][i][j] = (double*) malloc(sizeof(double)*Nx);
}
}
}
// tile size information, including extra element to decide the list length
int *tile_size = (int*) malloc(sizeof(int));
tile_size[0] = -1;
// The list is modified here before source-to-source transformations
tile_size = (int*) realloc((void *)tile_size, sizeof(int)*5);
tile_size[0] = 4;
tile_size[1] = 4;
tile_size[2] = 4;
tile_size[3] = 1024;
tile_size[4] = -1;
// for timekeeping
int ts_return = -1;
struct timeval start, end, result;
double tdiff = 0.0, min_tdiff=1.e100;
const int BASE = 1024;
// initialize variables
//
srand(42);
for (i = 1; i < Nz; i++) {
for (j = 1; j < Ny; j++) {
for (k = 1; k < Nx; k++) {
A[0][i][j][k] = 1.0 * (rand() % BASE);
}
}
}
for (m=0; m<7; m++) {
for (i=1; i<Nz; i++) {
for (j=1; j<Ny; j++) {
for (k=1; k<Nx; k++) {
coef[m][i][j][k] = 1.0 * (rand() % BASE);
}
}
}
}
#ifdef LIKWID_PERFMON
LIKWID_MARKER_INIT;
#pragma omp parallel
{
LIKWID_MARKER_THREADINIT;
#pragma omp barrier
LIKWID_MARKER_START("calc");
}
#endif
int num_threads = 1;
#if defined(_OPENMP)
num_threads = omp_get_max_threads();
#endif
for(test=0; test<TESTS; test++){
gettimeofday(&start, 0);
// serial execution - Addition: 6 && Multiplication: 2
/* Copyright (C) 1991-2014 Free Software Foundation, Inc.
This file is part of the GNU C Library.
The GNU C Library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2.1 of the License, or (at your option) any later version.
The GNU C Library is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with the GNU C Library; if not, see
<http://www.gnu.org/licenses/>. */
/* This header is separate from features.h so that the compiler can
include it implicitly at the start of every compilation. It must
not itself include <features.h> or any other header that includes
<features.h> because the implicit include comes before any feature
test macros that may be defined in a source file before it first
explicitly includes a system header. GCC knows the name of this
header in order to preinclude it. */
/* glibc's intent is to support the IEC 559 math functionality, real
and complex. If the GCC (4.9 and later) predefined macros
specifying compiler intent are available, use them to determine
whether the overall intent is to support these features; otherwise,
presume an older compiler has intent to support these features and
define these macros by default. */
/* wchar_t uses ISO/IEC 10646 (2nd ed., published 2011-03-15) /
Unicode 6.0. */
/* We do not support C11 <threads.h>. */
int t1, t2, t3, t4, t5, t6, t7, t8;
int lb, ub, lbp, ubp, lb2, ub2;
register int lbv, ubv;
/* Start of CLooG code */
if ((Nt >= 2) && (Nx >= 3) && (Ny >= 3) && (Nz >= 3)) {
for (t1=-1;t1<=floord(Nt-2,2);t1++) {
lbp=max(ceild(t1,2),ceild(4*t1-Nt+3,4));
ubp=min(floord(Nt+Nz-4,4),floord(2*t1+Nz-1,4));
#pragma omp parallel for private(lbv,ubv,t3,t4,t5,t6,t7,t8)
for (t2=lbp;t2<=ubp;t2++) {
for (t3=max(max(0,ceild(t1-1,2)),ceild(4*t2-Nz,4));t3<=min(min(min(floord(4*t2+Ny,4),floord(Nt+Ny-4,4)),floord(2*t1+Ny+1,4)),floord(4*t1-4*t2+Nz+Ny-1,4));t3++) {
for (t4=max(max(max(0,ceild(t1-511,512)),ceild(4*t2-Nz-1020,1024)),ceild(4*t3-Ny-1020,1024));t4<=min(min(min(min(floord(4*t2+Nx,1024),floord(4*t3+Nx,1024)),floord(Nt+Nx-4,1024)),floord(2*t1+Nx+1,1024)),floord(4*t1-4*t2+Nz+Nx-1,1024));t4++) {
for (t5=max(max(max(max(max(0,2*t1),4*t1-4*t2+1),4*t2-Nz+2),4*t3-Ny+2),1024*t4-Nx+2);t5<=min(min(min(min(min(Nt-2,2*t1+3),4*t2+2),4*t3+2),1024*t4+1022),4*t1-4*t2+Nz+1);t5++) {
for (t6=max(max(4*t2,t5+1),-4*t1+4*t2+2*t5-3);t6<=min(min(4*t2+3,-4*t1+4*t2+2*t5),t5+Nz-2);t6++) {
for (t7=max(4*t3,t5+1);t7<=min(4*t3+3,t5+Ny-2);t7++) {
lbv=max(1024*t4,t5+1);
ubv=min(1024*t4+1023,t5+Nx-2);
#pragma ivdep
#pragma vector always
for (t8=lbv;t8<=ubv;t8++) {
A[( t5 + 1) % 2][ (-t5+t6)][ (-t5+t7)][ (-t5+t8)] = (((((((coef[0][ (-t5+t6)][ (-t5+t7)][ (-t5+t8)] * A[ t5 % 2][ (-t5+t6)][ (-t5+t7)][ (-t5+t8)]) + (coef[1][ (-t5+t6)][ (-t5+t7)][ (-t5+t8)] * A[ t5 % 2][ (-t5+t6) - 1][ (-t5+t7)][ (-t5+t8)])) + (coef[2][ (-t5+t6)][ (-t5+t7)][ (-t5+t8)] * A[ t5 % 2][ (-t5+t6)][ (-t5+t7) - 1][ (-t5+t8)])) + (coef[3][ (-t5+t6)][ (-t5+t7)][ (-t5+t8)] * A[ t5 % 2][ (-t5+t6)][ (-t5+t7)][ (-t5+t8) - 1])) + (coef[4][ (-t5+t6)][ (-t5+t7)][ (-t5+t8)] * A[ t5 % 2][ (-t5+t6) + 1][ (-t5+t7)][ (-t5+t8)])) + (coef[5][ (-t5+t6)][ (-t5+t7)][ (-t5+t8)] * A[ t5 % 2][ (-t5+t6)][ (-t5+t7) + 1][ (-t5+t8)])) + (coef[6][ (-t5+t6)][ (-t5+t7)][ (-t5+t8)] * A[ t5 % 2][ (-t5+t6)][ (-t5+t7)][ (-t5+t8) + 1]));;
}
}
}
}
}
}
}
}
}
/* End of CLooG code */
gettimeofday(&end, 0);
ts_return = timeval_subtract(&result, &end, &start);
tdiff = (double) (result.tv_sec + result.tv_usec * 1.0e-6);
min_tdiff = min(min_tdiff, tdiff);
printf("Rank 0 TEST# %d time: %f\n", test, tdiff);
}
PRINT_RESULTS(1, "variable no-symmetry")
#ifdef LIKWID_PERFMON
#pragma omp parallel
{
LIKWID_MARKER_STOP("calc");
}
LIKWID_MARKER_CLOSE;
#endif
// Free allocated arrays
for(i=0; i<Nz; i++){
for(j=0;j<Ny;j++){
free(A[0][i][j]);
free(A[1][i][j]);
}
free(A[0][i]);
free(A[1][i]);
}
free(A[0]);
free(A[1]);
for(m=0; m<7;m++){
for(i=0; i<Nz; i++){
for(j=0;j<Ny;j++){
free(coef[m][i][j]);
}
free(coef[m][i]);
}
free(coef[m]);
}
return 0;
}
|
GB_unop__bnot_int64_int64.c | //------------------------------------------------------------------------------
// GB_unop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2022, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated2/ folder, do not edit it
// (it is auto-generated from Generator/*).
#include "GB.h"
#ifndef GBCUDA_DEV
#include "GB_control.h"
#include "GB_atomics.h"
#include "GB_unop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB (_unop_apply__bnot_int64_int64)
// op(A') function: GB (_unop_tran__bnot_int64_int64)
// C type: int64_t
// A type: int64_t
// cast: int64_t cij = aij
// unaryop: cij = ~(aij)
#define GB_ATYPE \
int64_t
#define GB_CTYPE \
int64_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
int64_t aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = ~(x) ;
// casting
#define GB_CAST(z, aij) \
int64_t z = aij ;
// cij = op (aij)
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
int64_t aij = Ax [pA] ; \
/* Cx [pC] = op (cast (aij)) */ \
int64_t z = aij ; \
Cx [pC] = ~(z) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_BNOT || GxB_NO_INT64)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_apply__bnot_int64_int64)
(
int64_t *Cx, // Cx and Ax may be aliased
const int64_t *Ax,
const int8_t *restrict Ab, // A->b if A is bitmap
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
if (Ab == NULL)
{
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
int64_t aij = Ax [p] ;
int64_t z = aij ;
Cx [p] = ~(z) ;
}
}
else
{
// bitmap case, no transpose; A->b already memcpy'd into C->b
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!Ab [p]) continue ;
int64_t aij = Ax [p] ;
int64_t z = aij ;
Cx [p] = ~(z) ;
}
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_tran__bnot_int64_int64)
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
bfs_simple.c | /* Copyright (C) 2010-2011 The Trustees of Indiana University. */
/* */
/* Use, modification and distribution is subject to the Boost Software */
/* License, Version 1.0. (See accompanying file LICENSE_1_0.txt or copy at */
/* http://www.boost.org/LICENSE_1_0.txt) */
/* */
/* Authors: Jeremiah Willcock */
/* Andrew Lumsdaine */
#include "common.h"
#include "oned_csr.h"
#include <mpi.h>
#include <stdint.h>
#include <inttypes.h>
#include <stdlib.h>
#include <stddef.h>
#include <string.h>
#include <limits.h>
#include <assert.h>
static oned_csr_graph g;
static int32_t* g_oldq; //static int64_t* g_oldq;
static int32_t* g_newq; //static int64_t* g_newq;
static unsigned long* g_visited;
static const int coalescing_size = 256;
static int32_t* g_outgoing; //static int64_t* g_outgoing;
static size_t* g_outgoing_counts /* 2x actual count */;
static MPI_Request* g_outgoing_reqs;
static int* g_outgoing_reqs_active;
static int32_t* g_recvbuf; //static int64_t* g_recvbuf;
void make_graph_data_structure(const tuple_graph* const tg) {
convert_graph_to_oned_csr(tg, &g);
const size_t nlocalverts = g.nlocalverts;
g_oldq = (int32_t*)xmalloc(nlocalverts * sizeof(int32_t)); // g_oldq = (int64_t*)xmalloc(nlocalverts * sizeof(int64_t));
g_newq = (int32_t*)xmalloc(nlocalverts * sizeof(int32_t)); // g_newq = (int64_t*)xmalloc(nlocalverts * sizeof(int64_t));
const int ulong_bits = sizeof(unsigned long) * CHAR_BIT;
int32_t visited_size = (nlocalverts + ulong_bits - 1) / ulong_bits; //
g_visited = (unsigned long*)xmalloc(visited_size * sizeof(unsigned long));
g_outgoing = (int32_t*)xMPI_Alloc_mem(coalescing_size * size * 2 * sizeof(int32_t)); // g_outgoing = (int64_t*)xMPI_Alloc_mem(coalescing_size * size * 2 * sizeof(int64_t));
g_outgoing_counts = (size_t*)xmalloc(size * sizeof(size_t)) /* 2x actual count */;
g_outgoing_reqs = (MPI_Request*)xmalloc(size * sizeof(MPI_Request));
g_outgoing_reqs_active = (int*)xmalloc(size * sizeof(int));
g_recvbuf = (int32_t*)xMPI_Alloc_mem(coalescing_size * 2 * sizeof(int32_t)); // g_recvbuf = (int64_t*)xMPI_Alloc_mem(coalescing_size * 2 * sizeof(int64_t));
}
void free_graph_data_structure(void) {
free(g_oldq);
free(g_newq);
free(g_visited);
MPI_Free_mem(g_outgoing);
free(g_outgoing_counts);
free(g_outgoing_reqs);
free(g_outgoing_reqs_active);
MPI_Free_mem(g_recvbuf);
free_oned_csr_graph(&g);
}
int bfs_writes_depth_map(void) {
return 0;
}
/* This version is the traditional level-synchronized BFS using two queues. A
* bitmap is used to indicate which vertices have been visited. Messages are
* sent and processed asynchronously throughout the code to hopefully overlap
* communication with computation. */
//void run_bfs(int64_t root, int64_t* pred)
void run_bfs(int32_t root, int32_t* pred) {
const size_t nlocalverts = g.nlocalverts;
/* Set up the queues. */
int32_t* restrict oldq = g_oldq; // int64_t* restrict oldq = g_oldq;
int32_t* restrict newq = g_newq; // int64_t* restrict newq = g_newq;
size_t oldq_count = 0;
size_t newq_count = 0;
/* Set up the visited bitmap. */
const int ulong_bits = sizeof(unsigned long) * CHAR_BIT;
int32_t visited_size = (nlocalverts + ulong_bits - 1) / ulong_bits; // int64_t visited_size = (nlocalverts + ulong_bits - 1) / ulong_bits;
unsigned long* restrict visited = g_visited;
memset(visited, 0, visited_size * sizeof(unsigned long));
#define SET_VISITED(v) do {visited[VERTEX_LOCAL((v)) / ulong_bits] |= (1UL << (VERTEX_LOCAL((v)) % ulong_bits));} while (0)
#define TEST_VISITED(v) ((visited[VERTEX_LOCAL((v)) / ulong_bits] & (1UL << (VERTEX_LOCAL((v)) % ulong_bits))) != 0)
/* Set up buffers for message coalescing, MPI requests, etc. for
* communication. */
const int coalescing_size = 256;
int32_t* restrict outgoing = g_outgoing; // int64_t* restrict outgoing = g_outgoing;
size_t* restrict outgoing_counts = g_outgoing_counts;
MPI_Request* restrict outgoing_reqs = g_outgoing_reqs;
int* restrict outgoing_reqs_active = g_outgoing_reqs_active;
memset(outgoing_reqs_active, 0, size * sizeof(int));
int32_t* restrict recvbuf = g_recvbuf; //int64_t* restrict recvbuf = g_recvbuf;
MPI_Request recvreq;
int recvreq_active = 0;
/* Termination counter for each level: this variable counts the number of
* ranks that have said that they are done sending to me in the current
* level. This rank can stop listening for new messages when it reaches
* size. */
int num_ranks_done;
/* Set all vertices to "not visited." */
{size_t i; for (i = 0; i < nlocalverts; ++i) pred[i] = -1;}
/* Mark the root and put it into the queue. */
if (VERTEX_OWNER(root) == rank) {
SET_VISITED(root);
pred[VERTEX_LOCAL(root)] = root;
oldq[oldq_count++] = root;
}
#define CHECK_MPI_REQS \
/* Check all MPI requests and handle any that have completed. */ \
do { \
/* Test for incoming vertices to put onto the queue. */ \
while (recvreq_active) { \
int flag; \
MPI_Status st; \
MPI_Test(&recvreq, &flag, &st); \
if (flag) { \
recvreq_active = 0; \
int count; \
MPI_Get_count(&st, MPI_INT32_T, &count); /*MPI_Get_count(&st, MPI_INT64_T, &count);*/ \
/* count == 0 is a signal from a rank that it is done sending to me
* (using MPI's non-overtaking rules to keep that signal after all
* "real" messages. */ \
if (count == 0) { \
++num_ranks_done; \
} else { \
int j; \
for (j = 0; j < count; j += 2) { \
int32_t tgt = recvbuf[j]; /* int64_t tgt = recvbuf[j];*/ \
int32_t src = recvbuf[j + 1]; /* int64_t src = recvbuf[j + 1];*/ \
/* Process one incoming edge. */ \
assert (VERTEX_OWNER(tgt) == rank); \
if (!TEST_VISITED(tgt)) { \
SET_VISITED(tgt); \
pred[VERTEX_LOCAL(tgt)] = src; \
newq[newq_count++] = tgt; \
} \
} \
} \
/* Restart the receive if more messages will be coming. */ \
if (num_ranks_done < size) { \
/*MPI_Irecv(recvbuf, coalescing_size * 2, MPI_INT64_T, MPI_ANY_SOURCE, 0, MPI_COMM_WORLD, &recvreq);*/ \
MPI_Irecv(recvbuf, coalescing_size * 2, MPI_INT32_T, MPI_ANY_SOURCE, 0, MPI_COMM_WORLD, &recvreq); \
recvreq_active = 1; \
} \
} else break; \
} \
/* Mark any sends that completed as inactive so their buffers can be
* reused. */ \
int c; \
for (c = 0; c < size; ++c) { \
if (outgoing_reqs_active[c]) { \
int flag; \
MPI_Test(&outgoing_reqs[c], &flag, MPI_STATUS_IGNORE); \
if (flag) outgoing_reqs_active[c] = 0; \
} \
} \
} while (0)
while (1) {
memset(outgoing_counts, 0, size * sizeof(size_t));
num_ranks_done = 1; /* I never send to myself, so I'm always done */
/* Start the initial receive. */
if (num_ranks_done < size) {
// MPI_Irecv(recvbuf, coalescing_size * 2, MPI_INT64_T, MPI_ANY_SOURCE, 0, MPI_COMM_WORLD, &recvreq);
MPI_Irecv(recvbuf, coalescing_size * 2, MPI_INT32_T, MPI_ANY_SOURCE, 0, MPI_COMM_WORLD, &recvreq);
recvreq_active = 1;
}
/* Step through the current level's queue. */
size_t i;
for (i = 0; i < oldq_count; ++i) {
CHECK_MPI_REQS;
assert (VERTEX_OWNER(oldq[i]) == rank);
assert (pred[VERTEX_LOCAL(oldq[i])] >= 0 && pred[VERTEX_LOCAL(oldq[i])] < g.nglobalverts);
int32_t src = oldq[i]; //int64_t src = oldq[i];
/* Iterate through its incident edges. */
size_t j, j_end = g.rowstarts[VERTEX_LOCAL(oldq[i]) + 1];
for (j = g.rowstarts[VERTEX_LOCAL(oldq[i])]; j < j_end; ++j) {
int32_t tgt = g.column[j]; //int64_t tgt = g.column[j];
int owner = VERTEX_OWNER(tgt);
/* If the other endpoint is mine, update the visited map, predecessor
* map, and next-level queue locally; otherwise, send the target and
* the current vertex (its possible predecessor) to the target's owner.
* */
if (owner == rank) {
if (!TEST_VISITED(tgt)) {
SET_VISITED(tgt);
pred[VERTEX_LOCAL(tgt)] = src;
newq[newq_count++] = tgt;
}
} else {
while (outgoing_reqs_active[owner]) CHECK_MPI_REQS; /* Wait for buffer to be available */
size_t c = outgoing_counts[owner];
outgoing[owner * coalescing_size * 2 + c] = tgt;
outgoing[owner * coalescing_size * 2 + c + 1] = src;
outgoing_counts[owner] += 2;
if (outgoing_counts[owner] == coalescing_size * 2) {
// MPI_Isend(&outgoing[owner * coalescing_size * 2], coalescing_size * 2, MPI_INT64_T, owner, 0, MPI_COMM_WORLD, &outgoing_reqs[owner]);
MPI_Isend(&outgoing[owner * coalescing_size * 2], coalescing_size * 2, MPI_INT32_T, owner, 0, MPI_COMM_WORLD, &outgoing_reqs[owner]);
outgoing_reqs_active[owner] = 1;
outgoing_counts[owner] = 0;
}
}
}
}
/* Flush any coalescing buffers that still have messages. */
int offset;
for (offset = 1; offset < size; ++offset) {
int dest = MOD_SIZE(rank + offset);
if (outgoing_counts[dest] != 0) {
while (outgoing_reqs_active[dest]) CHECK_MPI_REQS;
//MPI_Isend(&outgoing[dest * coalescing_size * 2], outgoing_counts[dest], MPI_INT64_T, dest, 0, MPI_COMM_WORLD, &outgoing_reqs[dest]);
MPI_Isend(&outgoing[dest * coalescing_size * 2], outgoing_counts[dest], MPI_INT32_T, dest, 0, MPI_COMM_WORLD, &outgoing_reqs[dest]);
outgoing_reqs_active[dest] = 1;
outgoing_counts[dest] = 0;
}
/* Wait until all sends to this destination are done. */
while (outgoing_reqs_active[dest]) CHECK_MPI_REQS;
/* Tell the destination that we are done sending to them. */
//MPI_Isend(&outgoing[dest * coalescing_size * 2], 0, MPI_INT64_T, dest, 0, MPI_COMM_WORLD, &outgoing_reqs[dest]); /* Signal no more sends */
MPI_Isend(&outgoing[dest * coalescing_size * 2], 0, MPI_INT32_T, dest, 0, MPI_COMM_WORLD, &outgoing_reqs[dest]); /* Signal no more sends */
outgoing_reqs_active[dest] = 1;
while (outgoing_reqs_active[dest]) CHECK_MPI_REQS;
}
/* Wait until everyone else is done (and thus couldn't send us any more
* messages). */
while (num_ranks_done < size) CHECK_MPI_REQS;
/* Test globally if all queues are empty. */
int32_t global_newq_count;//int64_t global_newq_count;
MPI_Allreduce(&newq_count, &global_newq_count, 1, MPI_INT32_T, MPI_SUM, MPI_COMM_WORLD); //MPI_Allreduce(&newq_count, &global_newq_count, 1, MPI_INT64_T, MPI_SUM, MPI_COMM_WORLD);
/* Quit if they all are empty. */
if (global_newq_count == 0) break;
/* Swap old and new queues; clear new queue for next level. */
{int32_t* temp = oldq; oldq = newq; newq = temp;} //{int64_t* temp = oldq; oldq = newq; newq = temp;}
oldq_count = newq_count;
newq_count = 0;
}
#undef CHECK_MPI_REQS
}
//void get_vertex_distribution_for_pred(size_t count, const int64_t* vertex_p, int* owner_p, size_t* local_p)
void get_vertex_distribution_for_pred(size_t count, const int32_t* vertex_p, int* owner_p, size_t* local_p) {
const int32_t* restrict vertex = vertex_p; //const int64_t* restrict vertex = vertex_p;
int* restrict owner = owner_p;
size_t* restrict local = local_p;
ptrdiff_t i;
#pragma omp parallel for
for (i = 0; i < (ptrdiff_t)count; ++i) {
owner[i] = VERTEX_OWNER(vertex[i]);
local[i] = VERTEX_LOCAL(vertex[i]);
}
}
//int64_t vertex_to_global_for_pred(int v_rank, size_t v_local)
int32_t vertex_to_global_for_pred(int v_rank, size_t v_local) {
return VERTEX_TO_GLOBAL(v_rank, v_local);
}
size_t get_nlocalverts_for_pred(void) {
return g.nlocalverts;
}
|
tinyexr.h | /*
Copyright (c) 2014 - 2019, Syoyo Fujita and many contributors.
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 Syoyo Fujita 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 (-6)
#define TINYEXR_ERROR_CANT_OPEN_FILE (-7)
#define TINYEXR_ERROR_UNSUPPORTED_FORMAT (-8)
#define TINYEXR_ERROR_INVALID_HEADER (-9)
#define TINYEXR_ERROR_UNSUPPORTED_FEATURE (-10)
#define TINYEXR_ERROR_CANT_WRITE_FILE (-11)
#define TINYEXR_ERROR_SERIALZATION_FAILED (-12)
// @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_HEADER_ATTRIBUTES (1024)
#define TINYEXR_MAX_CUSTOM_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;
int x_sampling;
int y_sampling;
unsigned char p_linear;
unsigned char pad[3];
} 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)
int num_custom_attributes;
EXRAttribute *custom_attributes; // array of EXRAttribute. size =
// `num_custom_attributes`.
EXRChannelInfo *channels; // [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 num_channels;
int compression_type; // compression type(TINYEXR_COMPRESSIONTYPE_*)
int *requested_pixel_types; // Filled initially by
// ParseEXRHeaderFrom(Meomory|File), then users
// can edit it(only valid for HALF pixel type
// channel)
} 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 {
const char **channel_names;
float ***image; // image[channels][scanlines][samples]
int **offset_table; // offset_table[scanline][offsets]
int num_channels;
int width;
int height;
int pad0;
} DeepImage;
// @deprecated { to be removed. }
// Loads single-frame OpenEXR image. Assume EXR image contains A(single channel
// alpha) or 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);
// @deprecated { to be removed. }
// Simple wrapper API for ParseEXRHeaderFromFile.
// checking given file is a EXR file(by just look up header)
// @return TINYEXR_SUCCEES for EXR image, TINYEXR_ERROR_INVALID_HEADER for
// others
extern int IsEXR(const char *filename);
// @deprecated { to be removed. }
// Saves single-frame OpenEXR image. Assume EXR image contains RGB(A) channels.
// components must be 1(Grayscale), 3(RGB) or 4(RGBA).
// Input image format is: `float x width x height`, or `float x RGB(A) x width x
// hight`
// Save image as fp16(HALF) format when `save_as_fp16` is positive non-zero
// value.
// Save image as fp32(FLOAT) format when `save_as_fp16` is 0.
// Use ZIP compression by default.
// Returns negative value and may set error string in `err` when there's an
// error
extern int SaveEXR(const float *data, const int width, const int height,
const int components, const int save_as_fp16,
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);
// Free's error message
extern void FreeEXRErrorMessage(const char *msg);
// 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, size_t size);
// Parse single-part OpenEXR header from a file and initialize `EXRHeader`.
// When there was an error message, Application must free `err` with
// FreeEXRErrorMessage()
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`.
// When there was an error message, Application must free `err` with
// FreeEXRErrorMessage()
extern int ParseEXRHeaderFromMemory(EXRHeader *header,
const EXRVersion *version,
const unsigned char *memory, size_t size,
const char **err);
// Parse multi-part OpenEXR headers from a file and initialize `EXRHeader*`
// array.
// When there was an error message, Application must free `err` with
// FreeEXRErrorMessage()
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
// When there was an error message, Application must free `err` with
// FreeEXRErrorMessage()
extern int ParseEXRMultipartHeaderFromMemory(EXRHeader ***headers,
int *num_headers,
const EXRVersion *version,
const unsigned char *memory,
size_t size, 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
// When there was an error message, Application must free `err` with
// FreeEXRErrorMessage()
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
// When there was an error message, Application must free `err` with
// FreeEXRErrorMessage()
extern int LoadEXRImageFromMemory(EXRImage *image, const EXRHeader *header,
const unsigned char *memory,
const size_t size, 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
// When there was an error message, Application must free `err` with
// FreeEXRErrorMessage()
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
// When there was an error message, Application must free `err` with
// FreeEXRErrorMessage()
extern int LoadEXRMultipartImageFromMemory(EXRImage *images,
const EXRHeader **headers,
unsigned int num_parts,
const unsigned char *memory,
const size_t size, 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
// When there was an error message, Application must free `err` with
// FreeEXRErrorMessage()
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 success.
// Return zero and will set error string in `err` when there's an
// error.
// When there was an error message, Application must free `err` with
// FreeEXRErrorMessage()
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
// When there was an error message, Application must free `err` with
// FreeEXRErrorMessage()
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.
// Loads single-frame OpenEXR image from memory. Assume EXR image contains
// RGB(A) channels.
// Returns negative value and may set error string in `err` when there's an
// error
// When there was an error message, Application must free `err` with
// FreeEXRErrorMessage()
extern int LoadEXRFromMemory(float **out_rgba, int *width, int *height,
const unsigned char *memory, size_t size,
const char **err);
#ifdef __cplusplus
}
#endif
#endif // TINYEXR_H_
#ifdef TINYEXR_IMPLEMENTATION
#ifndef TINYEXR_IMPLEMENTATION_DEIFNED
#define TINYEXR_IMPLEMENTATION_DEIFNED
#include <algorithm>
#include <cassert>
#include <cstdio>
#include <cstdlib>
#include <cstring>
#include <sstream>
//#include <iostream> // debug
#include <limits>
#include <string>
#include <vector>
#if __cplusplus > 199711L
// C++11
#include <cstdint>
#endif // __cplusplus > 199711L
#ifdef _OPENMP
#include <omp.h>
#endif
#if TINYEXR_USE_MINIZ
#else
// Issue #46. Please include your own zlib-compatible API header before
// including `tinyexr.h`
//#include "zlib.h"
#endif
#if TINYEXR_USE_ZFP
#include "zfp.h"
#endif
namespace tinyexr {
#if __cplusplus > 199711L
// C++11
typedef uint64_t tinyexr_uint64;
typedef int64_t tinyexr_int64;
#else
// Although `long long` is not a standard type pre C++11, assume it is defined
// as a compiler's extension.
#ifdef __clang__
#pragma clang diagnostic push
#pragma clang diagnostic ignored "-Wc++11-long-long"
#endif
typedef unsigned long long tinyexr_uint64;
typedef long long tinyexr_int64;
#ifdef __clang__
#pragma clang diagnostic pop
#endif
#endif
#if TINYEXR_USE_MINIZ
namespace miniz {
#ifdef __clang__
#pragma clang diagnostic push
#pragma clang diagnostic ignored "-Wc++11-long-long"
#pragma clang diagnostic ignored "-Wold-style-cast"
#pragma clang diagnostic ignored "-Wpadded"
#pragma clang diagnostic ignored "-Wsign-conversion"
#pragma clang diagnostic ignored "-Wc++11-extensions"
#pragma clang diagnostic ignored "-Wconversion"
#pragma clang diagnostic ignored "-Wunused-function"
#pragma clang diagnostic ignored "-Wc++98-compat-pedantic"
#pragma clang diagnostic ignored "-Wundef"
#if __has_warning("-Wcomma")
#pragma clang diagnostic ignored "-Wcomma"
#endif
#if __has_warning("-Wmacro-redefined")
#pragma clang diagnostic ignored "-Wmacro-redefined"
#endif
#if __has_warning("-Wcast-qual")
#pragma clang diagnostic ignored "-Wcast-qual"
#endif
#if __has_warning("-Wzero-as-null-pointer-constant")
#pragma clang diagnostic ignored "-Wzero-as-null-pointer-constant"
#endif
#if __has_warning("-Wtautological-constant-compare")
#pragma clang diagnostic ignored "-Wtautological-constant-compare"
#endif
#endif
/* 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
#error "No arvhive 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 ----------------------------------------
#ifdef __clang__
#pragma clang diagnostic pop
#endif
#ifdef _MSC_VER
#pragma warning(pop)
#endif
} // namespace 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 SetErrorMessage(const std::string &msg, const char **err) {
if (err) {
#ifdef _WIN32
(*err) = _strdup(msg.c_str());
#else
(*err) = strdup(msg.c_str());
#endif
}
}
static const int kEXRVersionSize = 8;
static void cpy2(unsigned short *dst_val, const unsigned short *src_val) {
unsigned char *dst = reinterpret_cast<unsigned char *>(dst_val);
const unsigned char *src = reinterpret_cast<const unsigned char *>(src_val);
dst[0] = src[0];
dst[1] = src[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
}
#ifdef __clang__
#pragma clang diagnostic push
#pragma clang diagnostic ignored "-Wunused-function"
#endif
#ifdef __GNUC__
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wunused-function"
#endif
static void cpy4(int *dst_val, const int *src_val) {
unsigned char *dst = reinterpret_cast<unsigned char *>(dst_val);
const unsigned char *src = reinterpret_cast<const unsigned char *>(src_val);
dst[0] = src[0];
dst[1] = src[1];
dst[2] = src[2];
dst[3] = src[3];
}
static void cpy4(unsigned int *dst_val, const unsigned int *src_val) {
unsigned char *dst = reinterpret_cast<unsigned char *>(dst_val);
const unsigned char *src = reinterpret_cast<const unsigned char *>(src_val);
dst[0] = src[0];
dst[1] = src[1];
dst[2] = src[2];
dst[3] = src[3];
}
static void cpy4(float *dst_val, const float *src_val) {
unsigned char *dst = reinterpret_cast<unsigned char *>(dst_val);
const unsigned char *src = reinterpret_cast<const unsigned char *>(src_val);
dst[0] = src[0];
dst[1] = src[1];
dst[2] = src[2];
dst[3] = src[3];
}
#ifdef __clang__
#pragma clang diagnostic pop
#endif
#ifdef __GNUC__
#pragma GCC diagnostic pop
#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
}
#if 0
static void cpy8(tinyexr::tinyexr_uint64 *dst_val, const tinyexr::tinyexr_uint64 *src_val) {
unsigned char *dst = reinterpret_cast<unsigned char *>(dst_val);
const unsigned char *src = reinterpret_cast<const unsigned char *>(src_val);
dst[0] = src[0];
dst[1] = src[1];
dst[2] = src[2];
dst[3] = src[3];
dst[4] = src[4];
dst[5] = src[5];
dst[6] = src[6];
dst[7] = src[7];
}
#endif
static void swap8(tinyexr::tinyexr_uint64 *val) {
#ifdef MINIZ_LITTLE_ENDIAN
(void)val;
#else
tinyexr::tinyexr_uint64 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;
};
#ifdef __clang__
#pragma clang diagnostic push
#pragma clang diagnostic ignored "-Wpadded"
#endif
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;
};
#ifdef __clang__
#pragma clang diagnostic pop
#endif
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
#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
static const char *ReadString(std::string *s, const char *ptr, size_t len) {
// Read untile NULL(\0).
const char *p = ptr;
const char *q = ptr;
while ((size_t(q - ptr) < len) && (*q) != 0) {
q++;
}
if (size_t(q - ptr) >= len) {
(*s) = std::string();
return NULL;
}
(*s) = std::string(p, q);
return q + 1; // skip '\0'
}
static bool ReadAttribute(std::string *name, std::string *type,
std::vector<unsigned char> *data, size_t *marker_size,
const char *marker, size_t size) {
size_t name_len = strnlen(marker, size);
if (name_len == size) {
// String does not have a terminating character.
return false;
}
*name = std::string(marker, name_len);
marker += name_len + 1;
size -= name_len + 1;
size_t type_len = strnlen(marker, size);
if (type_len == size) {
return false;
}
*type = std::string(marker, type_len);
marker += type_len + 1;
size -= type_len + 1;
if (size < sizeof(uint32_t)) {
return false;
}
uint32_t data_len;
memcpy(&data_len, marker, sizeof(uint32_t));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&data_len));
if (data_len == 0) {
if ((*type).compare("string") == 0) {
// Accept empty string attribute.
marker += sizeof(uint32_t);
size -= sizeof(uint32_t);
*marker_size = name_len + 1 + type_len + 1 + sizeof(uint32_t);
data->resize(1);
(*data)[0] = '\0';
return true;
} else {
return false;
}
}
marker += sizeof(uint32_t);
size -= sizeof(uint32_t);
if (size < data_len) {
return false;
}
data->resize(static_cast<size_t>(data_len));
memcpy(&data->at(0), marker, static_cast<size_t>(data_len));
*marker_size = name_len + 1 + type_len + 1 + sizeof(uint32_t) + data_len;
return true;
}
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;
int x_sampling;
int y_sampling;
unsigned char p_linear;
unsigned char pad[3];
} ChannelInfo;
typedef 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;
}
} HeaderInfo;
static bool 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;
tinyexr_int64 data_len = static_cast<tinyexr_int64>(data.size()) -
(p - reinterpret_cast<const char *>(data.data()));
if (data_len < 0) {
return false;
}
p = ReadString(&info.name, p, size_t(data_len));
if ((p == NULL) && (info.name.empty())) {
// Buffer overrun. Issue #51.
return false;
}
const unsigned char *data_end =
reinterpret_cast<const unsigned char *>(p) + 16;
if (data_end >= (data.data() + data.size())) {
return false;
}
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);
}
return true;
}
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,
tinyexr::tinyexr_uint64 &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, static_cast<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
// Use uncompressed data when compressed data is larger than uncompressed.
// (Issue 40)
if (compressedSize >= src_size) {
compressedSize = src_size;
memcpy(dst, src, src_size);
}
}
static bool DecompressZip(unsigned char *dst,
unsigned long *uncompressed_size /* inout */,
const unsigned char *src, unsigned long src_size) {
if ((*uncompressed_size) == src_size) {
// Data is not compressed(Issue 40).
memcpy(dst, src, src_size);
return true;
}
std::vector<unsigned char> tmpBuf(*uncompressed_size);
#if TINYEXR_USE_MINIZ
int ret =
miniz::mz_uncompress(&tmpBuf.at(0), uncompressed_size, src, src_size);
if (miniz::MZ_OK != ret) {
return false;
}
#else
int ret = uncompress(&tmpBuf.at(0), uncompressed_size, src, src_size);
if (Z_OK != ret) {
return false;
}
#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;
}
}
return true;
}
// RLE code from OpenEXR --------------------------------------
#ifdef __clang__
#pragma clang diagnostic push
#pragma clang diagnostic ignored "-Wsign-conversion"
#endif
#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
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;
// Fixes #116: Add bounds check to in buffer.
if ((0 > (maxLength -= count)) || (inLength < 0)) 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);
}
#ifdef __clang__
#pragma clang diagnostic pop
#endif
// End of RLE code from OpenEXR -----------------------------------
static void CompressRle(unsigned char *dst,
tinyexr::tinyexr_uint64 &compressedSize,
const unsigned char *src, unsigned long src_size) {
std::vector<unsigned char> tmpBuf(src_size);
//
// Apply EXR-specific? postprocess. Grabbed from OpenEXR's
// ImfRleCompressor.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 = static_cast<tinyexr::tinyexr_uint64>(outSize);
// Use uncompressed data when compressed data is larger than uncompressed.
// (Issue 40)
if (compressedSize >= src_size) {
compressedSize = src_size;
memcpy(dst, src, src_size);
}
}
static bool DecompressRle(unsigned char *dst,
const unsigned long uncompressed_size,
const unsigned char *src, unsigned long src_size) {
if (uncompressed_size == src_size) {
// Data is not compressed(Issue 40).
memcpy(dst, src, src_size);
return true;
}
// Workaround for issue #112.
// TODO(syoyo): Add more robust out-of-bounds check in `rleUncompress`.
if (src_size <= 2) {
return false;
}
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 *>(&tmpBuf.at(0)));
if (ret != static_cast<int>(uncompressed_size)) {
return false;
}
//
// Apply EXR-specific? postprocess. Grabbed from OpenEXR's
// ImfRleCompressor.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;
}
}
return true;
}
#if TINYEXR_USE_PIZ
#ifdef __clang__
#pragma clang diagnostic push
#pragma clang diagnostic ignored "-Wc++11-long-long"
#pragma clang diagnostic ignored "-Wold-style-cast"
#pragma clang diagnostic ignored "-Wpadded"
#pragma clang diagnostic ignored "-Wsign-conversion"
#pragma clang diagnostic ignored "-Wc++11-extensions"
#pragma clang diagnostic ignored "-Wconversion"
#pragma clang diagnostic ignored "-Wc++98-compat-pedantic"
#if __has_warning("-Wcast-qual")
#pragma clang diagnostic ignored "-Wcast-qual"
#endif
#endif
//
// 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.
//
std::vector<int> hlink(HUF_ENCSIZE);
std::vector<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());
std::vector<long long> scode(HUF_ENCSIZE);
memset(scode.data(), 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.data());
memcpy(frq, scode.data(), 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;
static 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():
//
static 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.
//
static 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();
//
static 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()
//
static 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:
//
static 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; \
}
#if 0
#define getCode(po, rlc, c, lc, in, out, ob, oe) \
{ \
if (po == rlc) { \
if (lc < 8) getChar(c, lc, in); \
\
lc -= 8; \
\
unsigned char cs = (c >> lc); \
\
if (out + cs > oe) return false; \
\
/* TinyEXR issue 78 */ \
unsigned short s = out[-1]; \
\
while (cs-- > 0) *out++ = s; \
} else if (out < oe) { \
*out++ = po; \
} else { \
return false; \
} \
}
#else
static bool getCode(int po, int rlc, long long &c, int &lc, const char *&in,
const char *in_end, unsigned short *&out,
const unsigned short *ob, const unsigned short *oe) {
(void)ob;
if (po == rlc) {
if (lc < 8) {
/* TinyEXR issue 78 */
if ((in + 1) >= in_end) {
return false;
}
getChar(c, lc, in);
}
lc -= 8;
unsigned char cs = (c >> lc);
if (out + cs > oe) return false;
// Bounds check for safety
// Issue 100.
if ((out - 1) < ob) return false;
unsigned short s = out[-1];
while (cs-- > 0) *out++ = s;
} else if (out < oe) {
*out++ = po;
} else {
return false;
}
return true;
}
#endif
//
// Decode (uncompress) ni bits based on encoding & decoding tables:
//
static 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; // begin
unsigned short *oe = out + no; // end
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;
// std::cout << "lit = " << pl.lit << std::endl;
// std::cout << "rlc = " << rlc << std::endl;
// std::cout << "c = " << c << std::endl;
// std::cout << "lc = " << lc << std::endl;
// std::cout << "in = " << in << std::endl;
// std::cout << "out = " << out << std::endl;
// std::cout << "oe = " << oe << std::endl;
if (!getCode(pl.lit, rlc, c, lc, in, ie, out, outb, oe)) {
return false;
}
} 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;
if (!getCode(pl.p[j], rlc, c, lc, in, ie, out, outb, oe)) {
return false;
}
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;
if (!getCode(pl.lit, rlc, c, lc, in, ie, out, outb, oe)) {
return false;
}
} else {
return false;
// invalidCode(); // wrong (long) code
}
}
if (out - outb != no) {
return false;
}
// notEnoughData ();
return true;
}
static void countFrequencies(std::vector<long long> &freq,
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]];
}
static 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;
}
static 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
//
static int hufCompress(const unsigned short raw[], int nRaw,
char compressed[]) {
if (nRaw == 0) return 0;
std::vector<long long> freq(HUF_ENCSIZE);
countFrequencies(freq, raw, nRaw);
int im = 0;
int iM = 0;
hufBuildEncTable(freq.data(), &im, &iM);
char *tableStart = compressed + 20;
char *tableEnd = tableStart;
hufPackEncTable(freq.data(), im, iM, &tableEnd);
int tableLength = tableEnd - tableStart;
char *dataStart = tableEnd;
int nBits = hufEncode(freq.data(), 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;
}
static bool hufUncompress(const char compressed[], int nCompressed,
std::vector<unsigned short> *raw) {
if (nCompressed == 0) {
if (raw->size() != 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, raw->size(),
raw->data());
}
// 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);
static 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;
}
}
}
static 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
static 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
static 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]];
}
#ifdef __clang__
#pragma clang diagnostic pop
#endif // __clang__
#ifdef _MSC_VER
#pragma warning(pop)
#endif
static 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) {
std::vector<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;
size_t pixelSize = sizeof(int); // UINT and FLOAT
if (channelInfo[c].pixel_type == TINYEXR_PIXELTYPE_HALF) {
pixelSize = sizeof(short);
}
cd.size = static_cast<int>(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;
size_t n = static_cast<size_t>(cd.nx * cd.size);
memcpy(cd.end, ptr, n * sizeof(unsigned short));
ptr += n * sizeof(unsigned short);
cd.end += n;
}
}
bitmapFromData(&tmpBuffer.at(0), static_cast<int>(tmpBuffer.size()),
bitmap.data(), minNonZero, maxNonZero);
std::vector<unsigned short> lut(USHORT_RANGE);
unsigned short maxValue = forwardLutFromBitmap(bitmap.data(), lut.data());
applyLut(lut.data(), &tmpBuffer.at(0), static_cast<int>(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, reinterpret_cast<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), static_cast<int>(tmpBuffer.size()), buf);
memcpy(lengthPtr, &length, sizeof(int));
(*outSize) = static_cast<unsigned int>(
(reinterpret_cast<unsigned char *>(buf) - outPtr) +
static_cast<unsigned int>(length));
// Use uncompressed data when compressed data is larger than uncompressed.
// (Issue 40)
if ((*outSize) >= inSize) {
(*outSize) = static_cast<unsigned int>(inSize);
memcpy(outPtr, inPtr, inSize);
}
return true;
}
static bool DecompressPiz(unsigned char *outPtr, const unsigned char *inPtr,
size_t tmpBufSize, size_t inLen, int num_channels,
const EXRChannelInfo *channels, int data_width,
int num_lines) {
if (inLen == tmpBufSize) {
// Data is not compressed(Issue 40).
memcpy(outPtr, inPtr, inLen);
return true;
}
std::vector<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.data(), 0, BITMAP_SIZE);
const unsigned char *ptr = inPtr;
// minNonZero = *(reinterpret_cast<const unsigned short *>(ptr));
tinyexr::cpy2(&minNonZero, reinterpret_cast<const unsigned short *>(ptr));
// maxNonZero = *(reinterpret_cast<const unsigned short *>(ptr + 2));
tinyexr::cpy2(&maxNonZero, reinterpret_cast<const unsigned short *>(ptr + 2));
ptr += 4;
if (maxNonZero >= BITMAP_SIZE) {
return false;
}
if (minNonZero <= maxNonZero) {
memcpy(reinterpret_cast<char *>(&bitmap[0] + minNonZero), ptr,
maxNonZero - minNonZero + 1);
ptr += maxNonZero - minNonZero + 1;
}
std::vector<unsigned short> lut(USHORT_RANGE);
memset(lut.data(), 0, sizeof(unsigned short) * USHORT_RANGE);
unsigned short maxValue = reverseLutFromBitmap(bitmap.data(), lut.data());
//
// Huffman decoding
//
int length;
// length = *(reinterpret_cast<const int *>(ptr));
tinyexr::cpy4(&length, reinterpret_cast<const int *>(ptr));
ptr += sizeof(int);
if (size_t((ptr - inPtr) + length) > inLen) {
return false;
}
std::vector<unsigned short> tmpBuffer(tmpBufSize);
hufUncompress(reinterpret_cast<const char *>(ptr), length, &tmpBuffer);
//
// Wavelet decoding
//
std::vector<PIZChannelData> channelData(static_cast<size_t>(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];
size_t 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 = static_cast<int>(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.data(), &tmpBuffer.at(0), static_cast<int>(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;
size_t n = static_cast<size_t>(cd.nx * cd.size);
memcpy(outPtr, cd.end, static_cast<size_t>(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;
if (uncompressed_size == src_size) {
// Data is not compressed(Issue 40).
memcpy(dst, src, src_size);
}
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
//
// -----------------------------------------------------------------
//
// TODO(syoyo): Refactor function arguments.
static bool 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
if ((width == 0) || (num_lines == 0) || (pixel_data_size == 0)) {
// Invalid input #90
return false;
}
// Allocate original data size.
std::vector<unsigned char> outBuf(static_cast<size_t>(
static_cast<size_t>(width * num_lines) * pixel_data_size));
size_t tmpBufLen = outBuf.size();
bool ret = tinyexr::DecompressPiz(
reinterpret_cast<unsigned char *>(&outBuf.at(0)), data_ptr, tmpBufLen,
data_len, static_cast<int>(num_channels), channels, width, num_lines);
if (!ret) {
return false;
}
// 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 (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 * 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++) {
FP16 hf;
// hf.u = line_ptr[u];
// use `cpy` to avoid unaligned memory access when compiler's
// optimization is on.
tinyexr::cpy2(&(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 - 1 - (line_no + static_cast<int>(v)))) *
static_cast<size_t>(x_stride) +
u;
}
*image = hf.u;
} else { // HALF -> FLOAT
FP32 f32 = half_to_float(hf);
float *image = reinterpret_cast<float **>(out_images)[c];
size_t offset = 0;
if (line_order == 0) {
offset = (static_cast<size_t>(line_no) + v) *
static_cast<size_t>(x_stride) +
u;
} else {
offset = static_cast<size_t>(
(height - 1 - (line_no + static_cast<int>(v)))) *
static_cast<size_t>(x_stride) +
u;
}
image += offset;
*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;
// val = line_ptr[u];
tinyexr::cpy4(&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 - 1 - (line_no + static_cast<int>(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>(x_stride) +
channel_offset_list[c] * static_cast<size_t>(x_stride)));
for (size_t u = 0; u < static_cast<size_t>(width); u++) {
float val;
// val = line_ptr[u];
tinyexr::cpy4(&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 - 1 - (line_no + static_cast<int>(v)))) *
static_cast<size_t>(x_stride) +
u;
}
*image = val;
}
}
} else {
assert(0);
}
}
#else
assert(0 && "PIZ is enabled in this build");
return false;
#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 = static_cast<unsigned long>(outBuf.size());
assert(dstLen > 0);
if (!tinyexr::DecompressZip(
reinterpret_cast<unsigned char *>(&outBuf.at(0)), &dstLen, data_ptr,
static_cast<unsigned long>(data_len))) {
return false;
}
// 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::cpy2(&(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];
size_t offset = 0;
if (line_order == 0) {
offset = (static_cast<size_t>(line_no) + v) *
static_cast<size_t>(x_stride) +
u;
} else {
offset = (static_cast<size_t>(height) - 1U -
(static_cast<size_t>(line_no) + v)) *
static_cast<size_t>(x_stride) +
u;
}
image += offset;
*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;
// val = line_ptr[u];
tinyexr::cpy4(&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;
// val = line_ptr[u];
tinyexr::cpy4(&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);
return false;
}
}
} 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 = static_cast<unsigned long>(outBuf.size());
if (dstLen == 0) {
return false;
}
if (!tinyexr::DecompressRle(reinterpret_cast<unsigned char *>(&outBuf.at(0)),
dstLen, data_ptr,
static_cast<unsigned long>(data_len))) {
return false;
}
// For RLE_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::cpy2(&(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;
// val = line_ptr[u];
tinyexr::cpy4(&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;
// val = line_ptr[u];
tinyexr::cpy4(&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);
return false;
}
}
} 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 false;
}
// 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;
tinyexr::cpy4(&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);
return false;
}
}
#else
(void)attributes;
(void)num_attributes;
(void)num_channels;
assert(0);
return false;
#endif
} else if (compression_type == TINYEXR_COMPRESSIONTYPE_NONE) {
for (size_t c = 0; c < num_channels; c++) {
for (size_t v = 0; v < static_cast<size_t>(num_lines); v++) {
if (channels[c].pixel_type == TINYEXR_PIXELTYPE_HALF) {
const unsigned short *line_ptr =
reinterpret_cast<const unsigned short *>(
data_ptr + v * pixel_data_size * size_t(width) +
channel_offset_list[c] * static_cast<size_t>(width));
if (requested_pixel_types[c] == TINYEXR_PIXELTYPE_HALF) {
unsigned short *outLine =
reinterpret_cast<unsigned short *>(out_images[c]);
if (line_order == 0) {
outLine += (size_t(y) + v) * size_t(x_stride);
} else {
outLine +=
(size_t(height) - 1 - (size_t(y) + v)) * size_t(x_stride);
}
for (int u = 0; u < width; u++) {
tinyexr::FP16 hf;
// hf.u = line_ptr[u];
tinyexr::cpy2(&(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 += (size_t(y) + v) * size_t(x_stride);
} else {
outLine +=
(size_t(height) - 1 - (size_t(y) + v)) * size_t(x_stride);
}
if (reinterpret_cast<const unsigned char *>(line_ptr + width) >
(data_ptr + data_len)) {
// Insufficient data size
return false;
}
for (int u = 0; u < width; u++) {
tinyexr::FP16 hf;
// address may not be aliged. use byte-wise copy for safety.#76
// hf.u = line_ptr[u];
tinyexr::cpy2(&(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);
return false;
}
} else if (channels[c].pixel_type == TINYEXR_PIXELTYPE_FLOAT) {
const float *line_ptr = reinterpret_cast<const float *>(
data_ptr + v * pixel_data_size * size_t(width) +
channel_offset_list[c] * static_cast<size_t>(width));
float *outLine = reinterpret_cast<float *>(out_images[c]);
if (line_order == 0) {
outLine += (size_t(y) + v) * size_t(x_stride);
} else {
outLine +=
(size_t(height) - 1 - (size_t(y) + v)) * size_t(x_stride);
}
if (reinterpret_cast<const unsigned char *>(line_ptr + width) >
(data_ptr + data_len)) {
// Insufficient data size
return false;
}
for (int u = 0; u < width; u++) {
float val;
tinyexr::cpy4(&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 + v * pixel_data_size * size_t(width) +
channel_offset_list[c] * static_cast<size_t>(width));
unsigned int *outLine =
reinterpret_cast<unsigned int *>(out_images[c]);
if (line_order == 0) {
outLine += (size_t(y) + v) * size_t(x_stride);
} else {
outLine +=
(size_t(height) - 1 - (size_t(y) + v)) * size_t(x_stride);
}
for (int u = 0; u < width; u++) {
if (reinterpret_cast<const unsigned char *>(line_ptr + u) >=
(data_ptr + data_len)) {
// Corrupsed data?
return false;
}
unsigned int val;
tinyexr::cpy4(&val, line_ptr + u);
tinyexr::swap4(reinterpret_cast<unsigned int *>(&val));
outLine[u] = val;
}
}
}
}
}
return true;
}
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 bool 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 {
// ???
return false;
}
}
return true;
}
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, size_t size) {
const char *marker = reinterpret_cast<const char *>(&buf[0]);
if (empty_header) {
(*empty_header) = false;
}
if (version->multipart) {
if (size > 0 && marker[0] == '\0') {
// End of header list.
if (empty_header) {
(*empty_header) = true;
}
return TINYEXR_SUCCESS;
}
}
// According to the spec, the header of every OpenEXR file must contain at
// least the following attributes:
//
// channels chlist
// compression compression
// dataWindow box2i
// displayWindow box2i
// lineOrder lineOrder
// pixelAspectRatio float
// screenWindowCenter v2f
// screenWindowWidth float
bool has_channels = false;
bool has_compression = false;
bool has_data_window = false;
bool has_display_window = false;
bool has_line_order = false;
bool has_pixel_aspect_ratio = false;
bool has_screen_window_center = false;
bool has_screen_window_width = false;
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
size_t orig_size = size;
for (size_t nattr = 0; nattr < TINYEXR_MAX_HEADER_ATTRIBUTES; nattr++) {
if (0 == size) {
if (err) {
(*err) += "Insufficient data size for attributes.\n";
}
return TINYEXR_ERROR_INVALID_DATA;
} else if (marker[0] == '\0') {
size--;
break;
}
std::string attr_name;
std::string attr_type;
std::vector<unsigned char> data;
size_t marker_size;
if (!tinyexr::ReadAttribute(&attr_name, &attr_type, &data, &marker_size,
marker, size)) {
if (err) {
(*err) += "Failed to read attribute.\n";
}
return TINYEXR_ERROR_INVALID_DATA;
}
marker += marker_size;
size -= marker_size;
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_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]);
has_compression = true;
} 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
if (!ReadChannelInfo(info->channels, data)) {
if (err) {
(*err) += "Failed to parse channel info.\n";
}
return TINYEXR_ERROR_INVALID_DATA;
}
if (info->channels.size() < 1) {
if (err) {
(*err) += "# of channels is zero.\n";
}
return TINYEXR_ERROR_INVALID_DATA;
}
has_channels = true;
} else if (attr_name.compare("dataWindow") == 0) {
if (data.size() >= 16) {
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]));
has_data_window = true;
}
} else if (attr_name.compare("displayWindow") == 0) {
if (data.size() >= 16) {
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]));
has_display_window = true;
}
} else if (attr_name.compare("lineOrder") == 0) {
if (data.size() >= 1) {
info->line_order = static_cast<int>(data[0]);
has_line_order = true;
}
} else if (attr_name.compare("pixelAspectRatio") == 0) {
if (data.size() >= sizeof(float)) {
memcpy(&info->pixel_aspect_ratio, &data.at(0), sizeof(float));
tinyexr::swap4(
reinterpret_cast<unsigned int *>(&info->pixel_aspect_ratio));
has_pixel_aspect_ratio = true;
}
} else if (attr_name.compare("screenWindowCenter") == 0) {
if (data.size() >= 8) {
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]));
has_screen_window_center = true;
}
} else if (attr_name.compare("screenWindowWidth") == 0) {
if (data.size() >= sizeof(float)) {
memcpy(&info->screen_window_width, &data.at(0), sizeof(float));
tinyexr::swap4(
reinterpret_cast<unsigned int *>(&info->screen_window_width));
has_screen_window_width = true;
}
} else if (attr_name.compare("chunkCount") == 0) {
if (data.size() >= sizeof(int)) {
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_CUSTOM_ATTRIBUTES)
if (info->attributes.size() < TINYEXR_MAX_CUSTOM_ATTRIBUTES) {
EXRAttribute attrib;
#ifdef _MSC_VER
strncpy_s(attrib.name, attr_name.c_str(), 255);
strncpy_s(attrib.type, attr_type.c_str(), 255);
#else
strncpy(attrib.name, attr_name.c_str(), 255);
strncpy(attrib.type, attr_type.c_str(), 255);
#endif
attrib.name[255] = '\0';
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);
}
}
}
// Check if required attributes exist
{
std::stringstream ss_err;
if (!has_compression) {
ss_err << "\"compression\" attribute not found in the header."
<< std::endl;
}
if (!has_channels) {
ss_err << "\"channels\" attribute not found in the header." << std::endl;
}
if (!has_line_order) {
ss_err << "\"lineOrder\" attribute not found in the header." << std::endl;
}
if (!has_display_window) {
ss_err << "\"displayWindow\" attribute not found in the header."
<< std::endl;
}
if (!has_data_window) {
ss_err << "\"dataWindow\" attribute not found in the header or invalid."
<< std::endl;
}
if (!has_pixel_aspect_ratio) {
ss_err << "\"pixelAspectRatio\" attribute not found in the header."
<< std::endl;
}
if (!has_screen_window_width) {
ss_err << "\"screenWindowWidth\" attribute not found in the header."
<< std::endl;
}
if (!has_screen_window_center) {
ss_err << "\"screenWindowCenter\" attribute not found in the header."
<< std::endl;
}
if (!(ss_err.str().empty())) {
if (err) {
(*err) += ss_err.str();
}
return TINYEXR_ERROR_INVALID_HEADER;
}
}
info->header_len = static_cast<unsigned int>(orig_size - size);
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++) {
#ifdef _MSC_VER
strncpy_s(exr_header->channels[c].name, info.channels[c].name.c_str(), 255);
#else
strncpy(exr_header->channels[c].name, info.channels[c].name.c_str(), 255);
#endif
// 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;
}
exr_header->num_custom_attributes = static_cast<int>(info.attributes.size());
if (exr_header->num_custom_attributes > 0) {
// TODO(syoyo): Report warning when # of attributes exceeds
// `TINYEXR_MAX_CUSTOM_ATTRIBUTES`
if (exr_header->num_custom_attributes > TINYEXR_MAX_CUSTOM_ATTRIBUTES) {
exr_header->num_custom_attributes = TINYEXR_MAX_CUSTOM_ATTRIBUTES;
}
exr_header->custom_attributes = static_cast<EXRAttribute *>(malloc(
sizeof(EXRAttribute) * size_t(exr_header->num_custom_attributes)));
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;
}
} else {
exr_header->custom_attributes = NULL;
}
exr_header->header_len = info.header_len;
}
static int DecodeChunk(EXRImage *exr_image, const EXRHeader *exr_header,
const std::vector<tinyexr::tinyexr_uint64> &offsets,
const unsigned char *head, const size_t size,
std::string *err) {
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;
if ((data_width < 0) || (data_height < 0)) {
if (err) {
std::stringstream ss;
ss << "Invalid data width or data height: " << data_width << ", "
<< data_height << std::endl;
(*err) += ss.str();
}
return TINYEXR_ERROR_INVALID_DATA;
}
// Do not allow too large data_width and data_height. header invalid?
{
const int threshold = 1024 * 8192; // heuristics
if ((data_width > threshold) || (data_height > threshold)) {
if (err) {
std::stringstream ss;
ss << "data_with or data_height too large. data_width: " << data_width
<< ", "
<< "data_height = " << data_height << std::endl;
(*err) += ss.str();
}
return TINYEXR_ERROR_INVALID_DATA;
}
}
size_t num_blocks = offsets.size();
std::vector<size_t> channel_offset_list;
int pixel_data_size = 0;
size_t channel_offset = 0;
if (!tinyexr::ComputeChannelLayout(&channel_offset_list, &pixel_data_size,
&channel_offset, num_channels,
exr_header->channels)) {
if (err) {
(*err) += "Failed to compute channel layout.\n";
}
return TINYEXR_ERROR_INVALID_DATA;
}
bool invalid_data = false; // TODO(LTE): Use atomic lock for MT safety.
if (exr_header->tiled) {
// value check
if (exr_header->tile_size_x < 0) {
if (err) {
std::stringstream ss;
ss << "Invalid tile size x : " << exr_header->tile_size_x << "\n";
(*err) += ss.str();
}
return TINYEXR_ERROR_INVALID_HEADER;
}
if (exr_header->tile_size_y < 0) {
if (err) {
std::stringstream ss;
ss << "Invalid tile size y : " << exr_header->tile_size_y << "\n";
(*err) += ss.str();
}
return TINYEXR_ERROR_INVALID_HEADER;
}
size_t num_tiles = offsets.size(); // = # of blocks
exr_image->tiles = static_cast<EXRTile *>(
calloc(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,
exr_header->tile_size_x, exr_header->tile_size_y);
// 16 byte: tile coordinates
// 4 byte : data size
// ~ : data(uncompressed or compressed)
if (offsets[tile_idx] + sizeof(int) * 5 > size) {
if (err) {
(*err) += "Insufficient data size.\n";
}
return TINYEXR_ERROR_INVALID_DATA;
}
size_t data_size = size_t(size - (offsets[tile_idx] + sizeof(int) * 5));
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 }
if (tile_coordinates[2] != 0) {
return TINYEXR_ERROR_UNSUPPORTED_FEATURE;
}
if (tile_coordinates[3] != 0) {
return TINYEXR_ERROR_UNSUPPORTED_FEATURE;
}
int data_len;
memcpy(&data_len, data_ptr + 16,
sizeof(int)); // 16 = sizeof(tile_coordinates)
tinyexr::swap4(reinterpret_cast<unsigned int *>(&data_len));
if (data_len < 4 || size_t(data_len) > data_size) {
if (err) {
(*err) += "Insufficient data length.\n";
}
return TINYEXR_ERROR_INVALID_DATA;
}
// 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<size_t>(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
// Don't allow too large image(256GB * pixel_data_size or more). Workaround
// for #104.
size_t total_data_len =
size_t(data_width) * size_t(data_height) * size_t(num_channels);
const bool total_data_len_overflown = sizeof(void*) == 8 ? (total_data_len >= 0x4000000000) : false;
if ((total_data_len == 0) || total_data_len_overflown ) {
if (err) {
std::stringstream ss;
ss << "Image data size is zero or too large: width = " << data_width
<< ", height = " << data_height << ", channels = " << num_channels
<< std::endl;
(*err) += ss.str();
}
return TINYEXR_ERROR_INVALID_DATA;
}
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);
if (offsets[y_idx] + sizeof(int) * 2 > size) {
invalid_data = true;
} else {
// 4 byte: scan line
// 4 byte: data size
// ~ : pixel data(uncompressed or compressed)
size_t data_size = size_t(size - (offsets[y_idx] + sizeof(int) * 2));
const unsigned char *data_ptr =
reinterpret_cast<const unsigned char *>(head + offsets[y_idx]);
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));
if (size_t(data_len) > data_size) {
invalid_data = true;
} else if ((line_no > (2 << 20)) || (line_no < -(2 << 20))) {
// Too large value. Assume this is invalid
// 2**20 = 1048576 = heuristic value.
invalid_data = true;
} else if (data_len == 0) {
// TODO(syoyo): May be ok to raise the threshold for example `data_len
// < 4`
invalid_data = true;
} else {
// line_no may be negative.
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;
if (num_lines <= 0) {
invalid_data = true;
} else {
// Move to data addr: 8 = 4 + 4;
data_ptr += 8;
// Adjust line_no with data_window.bmin.y
// overflow check
tinyexr_int64 lno = static_cast<tinyexr_int64>(line_no) - static_cast<tinyexr_int64>(exr_header->data_window[1]);
if (lno > std::numeric_limits<int>::max()) {
line_no = -1; // invalid
} else if (lno < -std::numeric_limits<int>::max()) {
line_no = -1; // invalid
} else {
line_no -= exr_header->data_window[1];
}
if (line_no < 0) {
invalid_data = true;
} else {
if (!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<size_t>(exr_header->num_custom_attributes),
exr_header->custom_attributes,
static_cast<size_t>(exr_header->num_channels),
exr_header->channels, channel_offset_list)) {
invalid_data = true;
}
}
}
}
}
} // omp parallel
}
if (invalid_data) {
if (err) {
std::stringstream ss;
(*err) += "Invalid data found when decoding pixels.\n";
}
return TINYEXR_ERROR_INVALID_DATA;
}
// 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 bool ReconstructLineOffsets(
std::vector<tinyexr::tinyexr_uint64> *offsets, size_t n,
const unsigned char *head, const unsigned char *marker, const size_t size) {
assert(head < marker);
assert(offsets->size() == n);
for (size_t i = 0; i < n; i++) {
size_t offset = static_cast<size_t>(marker - head);
// Offset should not exceed whole EXR file/data size.
if ((offset + sizeof(tinyexr::tinyexr_uint64)) >= size) {
return false;
}
int y;
unsigned int data_len;
memcpy(&y, marker, sizeof(int));
memcpy(&data_len, marker + 4, sizeof(unsigned int));
if (data_len >= size) {
return false;
}
tinyexr::swap4(reinterpret_cast<unsigned int *>(&y));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&data_len));
(*offsets)[i] = offset;
marker += data_len + 8; // 8 = 4 bytes(y) + 4 bytes(data_len)
}
return true;
}
static int DecodeEXRImage(EXRImage *exr_image, const EXRHeader *exr_header,
const unsigned char *head,
const unsigned char *marker, const size_t size,
const char **err) {
if (exr_image == NULL || exr_header == NULL || head == NULL ||
marker == NULL || (size <= tinyexr::kEXRVersionSize)) {
tinyexr::SetErrorMessage("Invalid argument for DecodeEXRImage().", err);
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];
if (data_width >= std::numeric_limits<int>::max()) {
// Issue 63
tinyexr::SetErrorMessage("Invalid data width value", err);
return TINYEXR_ERROR_INVALID_DATA;
}
data_width++;
int data_height = exr_header->data_window[3] - exr_header->data_window[1];
if (data_height >= std::numeric_limits<int>::max()) {
tinyexr::SetErrorMessage("Invalid data height value", err);
return TINYEXR_ERROR_INVALID_DATA;
}
data_height++;
if ((data_width < 0) || (data_height < 0)) {
tinyexr::SetErrorMessage("data width or data height is negative.", err);
return TINYEXR_ERROR_INVALID_DATA;
}
// Do not allow too large data_width and data_height. header invalid?
{
const int threshold = 1024 * 8192; // heuristics
if (data_width > threshold) {
tinyexr::SetErrorMessage("data width too large.", err);
return TINYEXR_ERROR_INVALID_DATA;
}
if (data_height > threshold) {
tinyexr::SetErrorMessage("data height too large.", err);
return TINYEXR_ERROR_INVALID_DATA;
}
}
// Read offset tables.
size_t num_blocks = 0;
if (exr_header->chunk_count > 0) {
// Use `chunkCount` attribute.
num_blocks = static_cast<size_t>(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<tinyexr::tinyexr_uint64> offsets(num_blocks);
for (size_t y = 0; y < num_blocks; y++) {
tinyexr::tinyexr_uint64 offset;
// Issue #81
if ((marker + sizeof(tinyexr_uint64)) >= (head + size)) {
tinyexr::SetErrorMessage("Insufficient data size in offset table.", err);
return TINYEXR_ERROR_INVALID_DATA;
}
memcpy(&offset, marker, sizeof(tinyexr::tinyexr_uint64));
tinyexr::swap8(&offset);
if (offset >= size) {
tinyexr::SetErrorMessage("Invalid offset value in DecodeEXRImage.", err);
return TINYEXR_ERROR_INVALID_DATA;
}
marker += sizeof(tinyexr::tinyexr_uint64); // = 8
offsets[y] = offset;
}
// If line offsets are invalid, we try to reconstruct it.
// See OpenEXR/IlmImf/ImfScanLineInputFile.cpp::readLineOffsets() for details.
for (size_t y = 0; y < num_blocks; y++) {
if (offsets[y] <= 0) {
// TODO(syoyo) Report as warning?
// if (err) {
// stringstream ss;
// ss << "Incomplete lineOffsets." << std::endl;
// (*err) += ss.str();
//}
bool ret =
ReconstructLineOffsets(&offsets, num_blocks, head, marker, size);
if (ret) {
// OK
break;
} else {
tinyexr::SetErrorMessage(
"Cannot reconstruct lineOffset table in DecodeEXRImage.", err);
return TINYEXR_ERROR_INVALID_DATA;
}
}
}
{
std::string e;
int ret = DecodeChunk(exr_image, exr_header, offsets, head, size, &e);
if (ret != TINYEXR_SUCCESS) {
if (!e.empty()) {
tinyexr::SetErrorMessage(e, err);
}
// release memory(if exists)
if ((exr_header->num_channels > 0) && exr_image && exr_image->images) {
for (size_t c = 0; c < size_t(exr_header->num_channels); c++) {
if (exr_image->images[c]) {
free(exr_image->images[c]);
exr_image->images[c] = NULL;
}
}
free(exr_image->images);
exr_image->images = NULL;
}
}
return ret;
}
}
} // namespace tinyexr
int LoadEXR(float **out_rgba, int *width, int *height, const char *filename,
const char **err) {
if (out_rgba == NULL) {
tinyexr::SetErrorMessage("Invalid argument for LoadEXR()", err);
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) {
tinyexr::SetErrorMessage("Invalid EXR header.", err);
return ret;
}
if (exr_version.multipart || exr_version.non_image) {
tinyexr::SetErrorMessage(
"Loading multipart or DeepImage is not supported in LoadEXR() API",
err);
return TINYEXR_ERROR_INVALID_DATA; // @fixme.
}
}
{
int ret = ParseEXRHeaderFromFile(&exr_header, &exr_version, filename, err);
if (ret != TINYEXR_SUCCESS) {
FreeEXRHeader(&exr_header);
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) {
FreeEXRHeader(&exr_header);
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 (exr_header.num_channels == 1) {
// Grayscale channel only.
(*out_rgba) = reinterpret_cast<float *>(
malloc(4 * sizeof(float) * static_cast<size_t>(exr_image.width) *
static_cast<size_t>(exr_image.height)));
if (exr_header.tiled) {
for (int it = 0; it < exr_image.num_tiles; it++) {
for (int j = 0; j < exr_header.tile_size_y; j++) {
for (int i = 0; i < exr_header.tile_size_x; i++) {
const int ii =
exr_image.tiles[it].offset_x * exr_header.tile_size_x + i;
const int jj =
exr_image.tiles[it].offset_y * exr_header.tile_size_y + j;
const int idx = ii + jj * exr_image.width;
// out of region check.
if (ii >= exr_image.width) {
continue;
}
if (jj >= exr_image.height) {
continue;
}
const int srcIdx = i + j * exr_header.tile_size_x;
unsigned char **src = exr_image.tiles[it].images;
(*out_rgba)[4 * idx + 0] =
reinterpret_cast<float **>(src)[0][srcIdx];
(*out_rgba)[4 * idx + 1] =
reinterpret_cast<float **>(src)[0][srcIdx];
(*out_rgba)[4 * idx + 2] =
reinterpret_cast<float **>(src)[0][srcIdx];
(*out_rgba)[4 * idx + 3] =
reinterpret_cast<float **>(src)[0][srcIdx];
}
}
}
} else {
for (int i = 0; i < exr_image.width * exr_image.height; i++) {
const float val = reinterpret_cast<float **>(exr_image.images)[0][i];
(*out_rgba)[4 * i + 0] = val;
(*out_rgba)[4 * i + 1] = val;
(*out_rgba)[4 * i + 2] = val;
(*out_rgba)[4 * i + 3] = val;
}
}
} else {
// Assume RGB(A)
if (idxR == -1) {
tinyexr::SetErrorMessage("R channel not found", err);
// @todo { free exr_image }
FreeEXRHeader(&exr_header);
return TINYEXR_ERROR_INVALID_DATA;
}
if (idxG == -1) {
tinyexr::SetErrorMessage("G channel not found", err);
// @todo { free exr_image }
FreeEXRHeader(&exr_header);
return TINYEXR_ERROR_INVALID_DATA;
}
if (idxB == -1) {
tinyexr::SetErrorMessage("B channel not found", err);
// @todo { free exr_image }
FreeEXRHeader(&exr_header);
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)));
if (exr_header.tiled) {
for (int it = 0; it < exr_image.num_tiles; it++) {
for (int j = 0; j < exr_header.tile_size_y; j++) {
for (int i = 0; i < exr_header.tile_size_x; i++) {
const int ii =
exr_image.tiles[it].offset_x * exr_header.tile_size_x + i;
const int jj =
exr_image.tiles[it].offset_y * exr_header.tile_size_y + j;
const int idx = ii + jj * exr_image.width;
// out of region check.
if (ii >= exr_image.width) {
continue;
}
if (jj >= exr_image.height) {
continue;
}
const int srcIdx = i + j * exr_header.tile_size_x;
unsigned char **src = exr_image.tiles[it].images;
(*out_rgba)[4 * idx + 0] =
reinterpret_cast<float **>(src)[idxR][srcIdx];
(*out_rgba)[4 * idx + 1] =
reinterpret_cast<float **>(src)[idxG][srcIdx];
(*out_rgba)[4 * idx + 2] =
reinterpret_cast<float **>(src)[idxB][srcIdx];
if (idxA != -1) {
(*out_rgba)[4 * idx + 3] =
reinterpret_cast<float **>(src)[idxA][srcIdx];
} else {
(*out_rgba)[4 * idx + 3] = 1.0;
}
}
}
}
} else {
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);
FreeEXRImage(&exr_image);
return TINYEXR_SUCCESS;
}
int IsEXR(const char *filename) {
EXRVersion exr_version;
int ret = ParseEXRVersionFromFile(&exr_version, filename);
if (ret != TINYEXR_SUCCESS) {
return TINYEXR_ERROR_INVALID_HEADER;
}
return TINYEXR_SUCCESS;
}
int ParseEXRHeaderFromMemory(EXRHeader *exr_header, const EXRVersion *version,
const unsigned char *memory, size_t size,
const char **err) {
if (memory == NULL || exr_header == NULL) {
tinyexr::SetErrorMessage(
"Invalid argument. `memory` or `exr_header` argument is null in "
"ParseEXRHeaderFromMemory()",
err);
// Invalid argument
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
if (size < tinyexr::kEXRVersionSize) {
tinyexr::SetErrorMessage("Insufficient header/data size.\n", err);
return TINYEXR_ERROR_INVALID_DATA;
}
const unsigned char *marker = memory + tinyexr::kEXRVersionSize;
size_t marker_size = size - tinyexr::kEXRVersionSize;
tinyexr::HeaderInfo info;
info.clear();
std::string err_str;
int ret = ParseEXRHeader(&info, NULL, version, &err_str, marker, marker_size);
if (ret != TINYEXR_SUCCESS) {
if (err && !err_str.empty()) {
tinyexr::SetErrorMessage(err_str, err);
}
}
ConvertHeader(exr_header, info);
// transfoer `tiled` from version.
exr_header->tiled = version->tiled;
return ret;
}
int LoadEXRFromMemory(float **out_rgba, int *width, int *height,
const unsigned char *memory, size_t size,
const char **err) {
if (out_rgba == NULL || memory == NULL) {
tinyexr::SetErrorMessage("Invalid argument for LoadEXRFromMemory", err);
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
EXRVersion exr_version;
EXRImage exr_image;
EXRHeader exr_header;
InitEXRHeader(&exr_header);
int ret = ParseEXRVersionFromMemory(&exr_version, memory, size);
if (ret != TINYEXR_SUCCESS) {
tinyexr::SetErrorMessage("Failed to parse EXR version", err);
return ret;
}
ret = ParseEXRHeaderFromMemory(&exr_header, &exr_version, memory, size, 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;
}
}
InitEXRImage(&exr_image);
ret = LoadEXRImageFromMemory(&exr_image, &exr_header, memory, size, 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;
}
}
// TODO(syoyo): Refactor removing same code as used in LoadEXR().
if (exr_header.num_channels == 1) {
// Grayscale channel only.
(*out_rgba) = reinterpret_cast<float *>(
malloc(4 * sizeof(float) * static_cast<size_t>(exr_image.width) *
static_cast<size_t>(exr_image.height)));
if (exr_header.tiled) {
for (int it = 0; it < exr_image.num_tiles; it++) {
for (int j = 0; j < exr_header.tile_size_y; j++) {
for (int i = 0; i < exr_header.tile_size_x; i++) {
const int ii =
exr_image.tiles[it].offset_x * exr_header.tile_size_x + i;
const int jj =
exr_image.tiles[it].offset_y * exr_header.tile_size_y + j;
const int idx = ii + jj * exr_image.width;
// out of region check.
if (ii >= exr_image.width) {
continue;
}
if (jj >= exr_image.height) {
continue;
}
const int srcIdx = i + j * exr_header.tile_size_x;
unsigned char **src = exr_image.tiles[it].images;
(*out_rgba)[4 * idx + 0] =
reinterpret_cast<float **>(src)[0][srcIdx];
(*out_rgba)[4 * idx + 1] =
reinterpret_cast<float **>(src)[0][srcIdx];
(*out_rgba)[4 * idx + 2] =
reinterpret_cast<float **>(src)[0][srcIdx];
(*out_rgba)[4 * idx + 3] =
reinterpret_cast<float **>(src)[0][srcIdx];
}
}
}
} else {
for (int i = 0; i < exr_image.width * exr_image.height; i++) {
const float val = reinterpret_cast<float **>(exr_image.images)[0][i];
(*out_rgba)[4 * i + 0] = val;
(*out_rgba)[4 * i + 1] = val;
(*out_rgba)[4 * i + 2] = val;
(*out_rgba)[4 * i + 3] = val;
}
}
} else {
// TODO(syoyo): Support non RGBA image.
if (idxR == -1) {
tinyexr::SetErrorMessage("R channel not found", err);
// @todo { free exr_image }
return TINYEXR_ERROR_INVALID_DATA;
}
if (idxG == -1) {
tinyexr::SetErrorMessage("G channel not found", err);
// @todo { free exr_image }
return TINYEXR_ERROR_INVALID_DATA;
}
if (idxB == -1) {
tinyexr::SetErrorMessage("B channel not found", err);
// @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)));
if (exr_header.tiled) {
for (int it = 0; it < exr_image.num_tiles; it++) {
for (int j = 0; j < exr_header.tile_size_y; j++)
for (int i = 0; i < exr_header.tile_size_x; i++) {
const int ii =
exr_image.tiles[it].offset_x * exr_header.tile_size_x + i;
const int jj =
exr_image.tiles[it].offset_y * exr_header.tile_size_y + j;
const int idx = ii + jj * exr_image.width;
// out of region check.
if (ii >= exr_image.width) {
continue;
}
if (jj >= exr_image.height) {
continue;
}
const int srcIdx = i + j * exr_header.tile_size_x;
unsigned char **src = exr_image.tiles[it].images;
(*out_rgba)[4 * idx + 0] =
reinterpret_cast<float **>(src)[idxR][srcIdx];
(*out_rgba)[4 * idx + 1] =
reinterpret_cast<float **>(src)[idxG][srcIdx];
(*out_rgba)[4 * idx + 2] =
reinterpret_cast<float **>(src)[idxB][srcIdx];
if (idxA != -1) {
(*out_rgba)[4 * idx + 3] =
reinterpret_cast<float **>(src)[idxA][srcIdx];
} else {
(*out_rgba)[4 * idx + 3] = 1.0;
}
}
}
} else {
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);
FreeEXRImage(&exr_image);
return TINYEXR_SUCCESS;
}
int LoadEXRImageFromFile(EXRImage *exr_image, const EXRHeader *exr_header,
const char *filename, const char **err) {
if (exr_image == NULL) {
tinyexr::SetErrorMessage("Invalid argument for LoadEXRImageFromFile", err);
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
#ifdef _WIN32
FILE *fp = NULL;
fopen_s(&fp, filename, "rb");
#else
FILE *fp = fopen(filename, "rb");
#endif
if (!fp) {
tinyexr::SetErrorMessage("Cannot read file " + std::string(filename), err);
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);
if (filesize < 16) {
tinyexr::SetErrorMessage("File size too short " + std::string(filename),
err);
return TINYEXR_ERROR_INVALID_FILE;
}
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), filesize,
err);
}
int LoadEXRImageFromMemory(EXRImage *exr_image, const EXRHeader *exr_header,
const unsigned char *memory, const size_t size,
const char **err) {
if (exr_image == NULL || memory == NULL ||
(size < tinyexr::kEXRVersionSize)) {
tinyexr::SetErrorMessage("Invalid argument for LoadEXRImageFromMemory",
err);
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
if (exr_header->header_len == 0) {
tinyexr::SetErrorMessage("EXRHeader variable is not initialized.", err);
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, size,
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) {
tinyexr::SetErrorMessage("Invalid argument for SaveEXRImageToMemory", err);
return 0;
}
#if !TINYEXR_USE_PIZ
if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_PIZ) {
tinyexr::SetErrorMessage("PIZ compression is not supported in this build",
err);
return 0;
}
#endif
#if !TINYEXR_USE_ZFP
if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_ZFP) {
tinyexr::SetErrorMessage("ZFP compression is not supported in this build",
err);
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) {
tinyexr::SetErrorMessage("Pixel type must be FLOAT for ZFP compression",
err);
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<tinyexr::tinyexr_uint64> offsets(static_cast<size_t>(num_blocks));
size_t headerSize = memory.size();
tinyexr::tinyexr_uint64 offset =
headerSize +
static_cast<size_t>(num_blocks) *
sizeof(
tinyexr::tinyexr_int64); // sizeof(header) + sizeof(offsetTable)
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++) {
size_t ii = static_cast<size_t>(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++) {
// 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] *
static_cast<size_t>(exr_image->width)));
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));
// line_ptr[x] = f32.f;
tinyexr::cpy4(line_ptr + x, &(f32.f));
}
}
} else if (exr_header->requested_pixel_types[c] ==
TINYEXR_PIXELTYPE_HALF) {
for (int y = 0; y < h; y++) {
// Assume increasing Y
unsigned short *line_ptr = reinterpret_cast<unsigned short *>(
&buf.at(static_cast<size_t>(pixel_data_size * y *
exr_image->width) +
channel_offset_list[c] *
static_cast<size_t>(exr_image->width)));
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);
// line_ptr[x] = val;
tinyexr::cpy2(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++) {
// Assume increasing Y
unsigned short *line_ptr = reinterpret_cast<unsigned short *>(
&buf.at(static_cast<size_t>(pixel_data_size * y *
exr_image->width) +
channel_offset_list[c] *
static_cast<size_t>(exr_image->width)));
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));
// line_ptr[x] = h16.u;
tinyexr::cpy2(line_ptr + x, &(h16.u));
}
}
} else if (exr_header->requested_pixel_types[c] ==
TINYEXR_PIXELTYPE_FLOAT) {
for (int y = 0; y < h; y++) {
// 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] *
static_cast<size_t>(exr_image->width)));
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));
// line_ptr[x] = val;
tinyexr::cpy4(line_ptr + x, &val);
}
}
} else {
assert(0);
}
} else if (exr_header->pixel_types[c] == TINYEXR_PIXELTYPE_UINT) {
for (int y = 0; y < h; y++) {
// Assume increasing Y
unsigned int *line_ptr = reinterpret_cast<unsigned int *>(&buf.at(
static_cast<size_t>(pixel_data_size * y * exr_image->width) +
channel_offset_list[c] * static_cast<size_t>(exr_image->width)));
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);
// line_ptr[x] = val;
tinyexr::cpy4(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[ii].insert(data_list[ii].end(), header.begin(), header.end());
data_list[ii].insert(data_list[ii].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(
static_cast<unsigned long>(buf.size())));
#else
std::vector<unsigned char> block(
compressBound(static_cast<uLong>(buf.size())));
#endif
tinyexr::tinyexr_uint64 outSize = block.size();
tinyexr::CompressZip(&block.at(0), outSize,
reinterpret_cast<const unsigned char *>(&buf.at(0)),
static_cast<unsigned long>(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[ii].insert(data_list[ii].end(), header.begin(), header.end());
data_list[ii].insert(data_list[ii].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);
tinyexr::tinyexr_uint64 outSize = block.size();
tinyexr::CompressRle(&block.at(0), outSize,
reinterpret_cast<const unsigned char *>(&buf.at(0)),
static_cast<unsigned long>(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[ii].insert(data_list[ii].end(), header.begin(), header.end());
data_list[ii].insert(data_list[ii].end(), block.begin(),
block.begin() + data_len);
} else if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_PIZ) {
#if TINYEXR_USE_PIZ
unsigned int bufLen =
8192 + static_cast<unsigned int>(
2 * static_cast<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[ii].insert(data_list[ii].end(), header.begin(), header.end());
data_list[ii].insert(data_list[ii].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[ii].insert(data_list[ii].end(), header.begin(), header.end());
data_list[ii].insert(data_list[ii].end(), block.begin(),
block.begin() + data_len);
#else
assert(0);
#endif
} else {
assert(0);
}
} // omp parallel
for (size_t i = 0; i < static_cast<size_t>(num_blocks); i++) {
offsets[i] = offset;
tinyexr::swap8(reinterpret_cast<tinyexr::tinyexr_uint64 *>(&offsets[i]));
offset += data_list[i].size();
}
size_t totalSize = static_cast<size_t>(offset);
{
memory.insert(
memory.end(), reinterpret_cast<unsigned char *>(&offsets.at(0)),
reinterpret_cast<unsigned char *>(&offsets.at(0)) +
sizeof(tinyexr::tinyexr_uint64) * static_cast<size_t>(num_blocks));
}
if (memory.size() == 0) {
tinyexr::SetErrorMessage("Output memory size is zero", err);
return 0;
}
(*memory_out) = static_cast<unsigned char *>(malloc(totalSize));
memcpy((*memory_out), &memory.at(0), memory.size());
unsigned char *memory_ptr = *memory_out + memory.size();
for (size_t i = 0; i < static_cast<size_t>(num_blocks); i++) {
memcpy(memory_ptr, &data_list[i].at(0), data_list[i].size());
memory_ptr += data_list[i].size();
}
return totalSize; // 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) {
tinyexr::SetErrorMessage("Invalid argument for SaveEXRImageToFile", err);
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
#if !TINYEXR_USE_PIZ
if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_PIZ) {
tinyexr::SetErrorMessage("PIZ compression is not supported in this build",
err);
return TINYEXR_ERROR_UNSUPPORTED_FEATURE;
}
#endif
#if !TINYEXR_USE_ZFP
if (exr_header->compression_type == TINYEXR_COMPRESSIONTYPE_ZFP) {
tinyexr::SetErrorMessage("ZFP compression is not supported in this build",
err);
return TINYEXR_ERROR_UNSUPPORTED_FEATURE;
}
#endif
#ifdef _WIN32
FILE *fp = NULL;
fopen_s(&fp, filename, "wb");
#else
FILE *fp = fopen(filename, "wb");
#endif
if (!fp) {
tinyexr::SetErrorMessage("Cannot write a file", err);
return TINYEXR_ERROR_CANT_WRITE_FILE;
}
unsigned char *mem = NULL;
size_t mem_size = SaveEXRImageToMemory(exr_image, exr_header, &mem, err);
if (mem_size == 0) {
return TINYEXR_ERROR_SERIALZATION_FAILED;
}
size_t written_size = 0;
if ((mem_size > 0) && mem) {
written_size = fwrite(mem, 1, mem_size, fp);
}
free(mem);
fclose(fp);
if (written_size != mem_size) {
tinyexr::SetErrorMessage("Cannot write a file", err);
return TINYEXR_ERROR_CANT_WRITE_FILE;
}
return TINYEXR_SUCCESS;
}
int LoadDeepEXR(DeepImage *deep_image, const char *filename, const char **err) {
if (deep_image == NULL) {
tinyexr::SetErrorMessage("Invalid argument for LoadDeepEXR", err);
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
#ifdef _MSC_VER
FILE *fp = NULL;
errno_t errcode = fopen_s(&fp, filename, "rb");
if ((0 != errcode) || (!fp)) {
tinyexr::SetErrorMessage("Cannot read a file " + std::string(filename),
err);
return TINYEXR_ERROR_CANT_OPEN_FILE;
}
#else
FILE *fp = fopen(filename, "rb");
if (!fp) {
tinyexr::SetErrorMessage("Cannot read a file " + std::string(filename),
err);
return TINYEXR_ERROR_CANT_OPEN_FILE;
}
#endif
size_t filesize;
// Compute size
fseek(fp, 0, SEEK_END);
filesize = static_cast<size_t>(ftell(fp));
fseek(fp, 0, SEEK_SET);
if (filesize == 0) {
fclose(fp);
tinyexr::SetErrorMessage("File size is zero : " + std::string(filename),
err);
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) {
tinyexr::SetErrorMessage("Invalid magic number", err);
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) {
tinyexr::SetErrorMessage("Unsupported version or scanline", err);
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
size_t size = filesize - tinyexr::kEXRVersionSize;
for (;;) {
if (0 == size) {
return TINYEXR_ERROR_INVALID_DATA;
} else if (marker[0] == '\0') {
marker++;
size--;
break;
}
std::string attr_name;
std::string attr_type;
std::vector<unsigned char> data;
size_t marker_size;
if (!tinyexr::ReadAttribute(&attr_name, &attr_type, &data, &marker_size,
marker, size)) {
std::stringstream ss;
ss << "Failed to parse attribute\n";
tinyexr::SetErrorMessage(ss.str(), err);
return TINYEXR_ERROR_INVALID_DATA;
}
marker += marker_size;
size -= marker_size;
if (attr_name.compare("compression") == 0) {
compression_type = data[0];
if (compression_type > TINYEXR_COMPRESSIONTYPE_PIZ) {
std::stringstream ss;
ss << "Unsupported compression type : " << compression_type;
tinyexr::SetErrorMessage(ss.str(), err);
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
if (!tinyexr::ReadChannelInfo(channels, data)) {
tinyexr::SetErrorMessage("Failed to parse channel info", err);
return TINYEXR_ERROR_INVALID_DATA;
}
num_channels = static_cast<int>(channels.size());
if (num_channels < 1) {
tinyexr::SetErrorMessage("Invalid channels format", err);
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));
}
}
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(
static_cast<size_t>(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<tinyexr::tinyexr_int64> offsets(static_cast<size_t>(num_blocks));
for (size_t y = 0; y < static_cast<size_t>(num_blocks); y++) {
tinyexr::tinyexr_int64 offset;
memcpy(&offset, marker, sizeof(tinyexr::tinyexr_int64));
tinyexr::swap8(reinterpret_cast<tinyexr::tinyexr_uint64 *>(&offset));
marker += sizeof(tinyexr::tinyexr_int64); // = 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 {
tinyexr::SetErrorMessage("Unsupported compression format", err);
return TINYEXR_ERROR_UNSUPPORTED_FORMAT;
}
deep_image->image = static_cast<float ***>(
malloc(sizeof(float **) * static_cast<size_t>(num_channels)));
for (int c = 0; c < num_channels; c++) {
deep_image->image[c] = static_cast<float **>(
malloc(sizeof(float *) * static_cast<size_t>(data_height)));
for (int y = 0; y < data_height; y++) {
}
}
deep_image->offset_table = static_cast<int **>(
malloc(sizeof(int *) * static_cast<size_t>(data_height)));
for (int y = 0; y < data_height; y++) {
deep_image->offset_table[y] = static_cast<int *>(
malloc(sizeof(int) * static_cast<size_t>(data_width)));
}
for (size_t y = 0; y < static_cast<size_t>(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;
tinyexr::tinyexr_int64 packedOffsetTableSize;
tinyexr::tinyexr_int64 packedSampleDataSize;
tinyexr::tinyexr_int64 unpackedSampleDataSize;
memcpy(&line_no, data_ptr, sizeof(int));
memcpy(&packedOffsetTableSize, data_ptr + 4,
sizeof(tinyexr::tinyexr_int64));
memcpy(&packedSampleDataSize, data_ptr + 12,
sizeof(tinyexr::tinyexr_int64));
memcpy(&unpackedSampleDataSize, data_ptr + 20,
sizeof(tinyexr::tinyexr_int64));
tinyexr::swap4(reinterpret_cast<unsigned int *>(&line_no));
tinyexr::swap8(
reinterpret_cast<tinyexr::tinyexr_uint64 *>(&packedOffsetTableSize));
tinyexr::swap8(
reinterpret_cast<tinyexr::tinyexr_uint64 *>(&packedSampleDataSize));
tinyexr::swap8(
reinterpret_cast<tinyexr::tinyexr_uint64 *>(&unpackedSampleDataSize));
std::vector<int> pixelOffsetTable(static_cast<size_t>(data_width));
// decode pixel offset table.
{
unsigned long dstLen =
static_cast<unsigned long>(pixelOffsetTable.size() * sizeof(int));
if (!tinyexr::DecompressZip(
reinterpret_cast<unsigned char *>(&pixelOffsetTable.at(0)),
&dstLen, data_ptr + 28,
static_cast<unsigned long>(packedOffsetTableSize))) {
return false;
}
assert(dstLen == pixelOffsetTable.size() * sizeof(int));
for (size_t i = 0; i < static_cast<size_t>(data_width); i++) {
deep_image->offset_table[y][i] = pixelOffsetTable[i];
}
}
std::vector<unsigned char> sample_data(
static_cast<size_t>(unpackedSampleDataSize));
// decode sample data.
{
unsigned long dstLen = static_cast<unsigned long>(unpackedSampleDataSize);
if (dstLen) {
if (!tinyexr::DecompressZip(
reinterpret_cast<unsigned char *>(&sample_data.at(0)), &dstLen,
data_ptr + 28 + packedOffsetTableSize,
static_cast<unsigned long>(packedSampleDataSize))) {
return false;
}
assert(dstLen == static_cast<unsigned long>(unpackedSampleDataSize));
}
}
// decode sample
int sampleSize = -1;
std::vector<int> channel_offset_list(static_cast<size_t>(num_channels));
{
int channel_offset = 0;
for (size_t i = 0; i < static_cast<size_t>(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[static_cast<size_t>(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]
//
{
tinyexr::tinyexr_uint64 data_offset = 0;
for (size_t c = 0; c < static_cast<size_t>(num_channels); c++) {
deep_image->image[c][y] = static_cast<float *>(
malloc(sizeof(float) * static_cast<size_t>(samples_per_line)));
if (channels[c].pixel_type == 0) { // UINT
for (size_t x = 0; x < static_cast<size_t>(samples_per_line); x++) {
unsigned int ui;
unsigned int *src_ptr = reinterpret_cast<unsigned int *>(
&sample_data.at(size_t(data_offset) + x * sizeof(int)));
tinyexr::cpy4(&ui, src_ptr);
deep_image->image[c][y][x] = static_cast<float>(ui); // @fixme
}
data_offset +=
sizeof(unsigned int) * static_cast<size_t>(samples_per_line);
} else if (channels[c].pixel_type == 1) { // half
for (size_t x = 0; x < static_cast<size_t>(samples_per_line); x++) {
tinyexr::FP16 f16;
const unsigned short *src_ptr = reinterpret_cast<unsigned short *>(
&sample_data.at(size_t(data_offset) + x * sizeof(short)));
tinyexr::cpy2(&(f16.u), src_ptr);
tinyexr::FP32 f32 = half_to_float(f16);
deep_image->image[c][y][x] = f32.f;
}
data_offset += sizeof(short) * static_cast<size_t>(samples_per_line);
} else { // float
for (size_t x = 0; x < static_cast<size_t>(samples_per_line); x++) {
float f;
const float *src_ptr = reinterpret_cast<float *>(
&sample_data.at(size_t(data_offset) + x * sizeof(float)));
tinyexr::cpy4(&f, src_ptr);
deep_image->image[c][y][x] = f;
}
data_offset += sizeof(float) * static_cast<size_t>(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 *) * static_cast<size_t>(num_channels)));
for (size_t c = 0; c < static_cast<size_t>(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;
}
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;
exr_image->num_tiles = 0;
}
void FreeEXRErrorMessage(const char *msg) {
if (msg) {
free(reinterpret_cast<void *>(const_cast<char *>(msg)));
}
return;
}
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);
}
}
if (exr_header->custom_attributes) {
free(exr_header->custom_attributes);
}
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);
}
}
free(exr_image->tiles);
}
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) {
tinyexr::SetErrorMessage("Invalid argument for ParseEXRHeaderFromFile",
err);
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
#ifdef _WIN32
FILE *fp = NULL;
fopen_s(&fp, filename, "rb");
#else
FILE *fp = fopen(filename, "rb");
#endif
if (!fp) {
tinyexr::SetErrorMessage("Cannot read file " + std::string(filename), err);
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);
if (ret != filesize) {
tinyexr::SetErrorMessage("fread() error on " + std::string(filename),
err);
return TINYEXR_ERROR_INVALID_FILE;
}
}
return ParseEXRHeaderFromMemory(exr_header, exr_version, &buf.at(0), filesize,
err);
}
int ParseEXRMultipartHeaderFromMemory(EXRHeader ***exr_headers,
int *num_headers,
const EXRVersion *exr_version,
const unsigned char *memory, size_t size,
const char **err) {
if (memory == NULL || exr_headers == NULL || num_headers == NULL ||
exr_version == NULL) {
// Invalid argument
tinyexr::SetErrorMessage(
"Invalid argument for ParseEXRMultipartHeaderFromMemory", err);
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
if (size < tinyexr::kEXRVersionSize) {
tinyexr::SetErrorMessage("Data size too short", err);
return TINYEXR_ERROR_INVALID_DATA;
}
const unsigned char *marker = memory + tinyexr::kEXRVersionSize;
size_t marker_size = size - tinyexr::kEXRVersionSize;
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,
marker, marker_size);
if (ret != TINYEXR_SUCCESS) {
tinyexr::SetErrorMessage(err_str, err);
return ret;
}
if (empty_header) {
marker += 1; // skip '\0'
break;
}
// `chunkCount` must exist in the header.
if (info.chunk_count == 0) {
tinyexr::SetErrorMessage(
"`chunkCount' attribute is not found in the header.", err);
return TINYEXR_ERROR_INVALID_DATA;
}
infos.push_back(info);
// move to next header.
marker += info.header_len;
size -= 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) {
tinyexr::SetErrorMessage(
"Invalid argument for ParseEXRMultipartHeaderFromFile()", err);
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
#ifdef _WIN32
FILE *fp = NULL;
fopen_s(&fp, filename, "rb");
#else
FILE *fp = fopen(filename, "rb");
#endif
if (!fp) {
tinyexr::SetErrorMessage("Cannot read file " + std::string(filename), err);
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);
if (ret != filesize) {
tinyexr::SetErrorMessage("`fread' error. file may be corrupted.", err);
return TINYEXR_ERROR_INVALID_FILE;
}
}
return ParseEXRMultipartHeaderFromMemory(
exr_headers, num_headers, exr_version, &buf.at(0), filesize, err);
}
int ParseEXRVersionFromMemory(EXRVersion *version, const unsigned char *memory,
size_t size) {
if (version == NULL || memory == NULL) {
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
if (size < tinyexr::kEXRVersionSize) {
return TINYEXR_ERROR_INVALID_DATA;
}
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 = static_cast<size_t>(ftell(fp));
fseek(fp, 0, SEEK_SET);
if (file_size < tinyexr::kEXRVersionSize) {
return TINYEXR_ERROR_INVALID_FILE;
}
unsigned char buf[tinyexr::kEXRVersionSize];
size_t ret = fread(&buf[0], 1, tinyexr::kEXRVersionSize, fp);
fclose(fp);
if (ret != tinyexr::kEXRVersionSize) {
return TINYEXR_ERROR_INVALID_FILE;
}
return ParseEXRVersionFromMemory(version, buf, tinyexr::kEXRVersionSize);
}
int LoadEXRMultipartImageFromMemory(EXRImage *exr_images,
const EXRHeader **exr_headers,
unsigned int num_parts,
const unsigned char *memory,
const size_t size, const char **err) {
if (exr_images == NULL || exr_headers == NULL || num_parts == 0 ||
memory == NULL || (size <= tinyexr::kEXRVersionSize)) {
tinyexr::SetErrorMessage(
"Invalid argument for LoadEXRMultipartImageFromMemory()", err);
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) {
tinyexr::SetErrorMessage("EXRHeader variable is not initialized.", err);
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<tinyexr::tinyexr_uint64> > chunk_offset_table_list;
for (size_t i = 0; i < static_cast<size_t>(num_parts); i++) {
std::vector<tinyexr::tinyexr_uint64> offset_table(
static_cast<size_t>(exr_headers[i]->chunk_count));
for (size_t c = 0; c < offset_table.size(); c++) {
tinyexr::tinyexr_uint64 offset;
memcpy(&offset, marker, 8);
tinyexr::swap8(&offset);
if (offset >= size) {
tinyexr::SetErrorMessage("Invalid offset size in EXR header chunks.",
err);
return TINYEXR_ERROR_INVALID_DATA;
}
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<tinyexr::tinyexr_uint64> &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) {
tinyexr::SetErrorMessage("Invalid `part number' in EXR header chunks.",
err);
return TINYEXR_ERROR_INVALID_DATA;
}
}
std::string e;
int ret = tinyexr::DecodeChunk(&exr_images[i], exr_headers[i], offset_table,
memory, size, &e);
if (ret != TINYEXR_SUCCESS) {
if (!e.empty()) {
tinyexr::SetErrorMessage(e, err);
}
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) {
tinyexr::SetErrorMessage(
"Invalid argument for LoadEXRMultipartImageFromFile", err);
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
#ifdef _WIN32
FILE *fp = NULL;
fopen_s(&fp, filename, "rb");
#else
FILE *fp = fopen(filename, "rb");
#endif
if (!fp) {
tinyexr::SetErrorMessage("Cannot read file " + std::string(filename), err);
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), filesize, err);
}
int SaveEXR(const float *data, int width, int height, int components,
const int save_as_fp16, const char *outfilename, const char **err) {
if ((components == 1) || components == 3 || components == 4) {
// OK
} else {
std::stringstream ss;
ss << "Unsupported component value : " << components << std::endl;
tinyexr::SetErrorMessage(ss.str(), err);
return TINYEXR_ERROR_INVALID_ARGUMENT;
}
EXRHeader header;
InitEXRHeader(&header);
if ((width < 16) && (height < 16)) {
// No compression for small image.
header.compression_type = TINYEXR_COMPRESSIONTYPE_NONE;
} else {
header.compression_type = TINYEXR_COMPRESSIONTYPE_ZIP;
}
EXRImage image;
InitEXRImage(&image);
image.num_channels = components;
std::vector<float> images[4];
if (components == 1) {
images[0].resize(static_cast<size_t>(width * height));
memcpy(images[0].data(), data, sizeof(float) * size_t(width * height));
} else {
images[0].resize(static_cast<size_t>(width * height));
images[1].resize(static_cast<size_t>(width * height));
images[2].resize(static_cast<size_t>(width * height));
images[3].resize(static_cast<size_t>(width * height));
// Split RGB(A)RGB(A)RGB(A)... into R, G and B(and A) layers
for (size_t i = 0; i < static_cast<size_t>(width * height); i++) {
images[0][i] = data[static_cast<size_t>(components) * i + 0];
images[1][i] = data[static_cast<size_t>(components) * i + 1];
images[2][i] = data[static_cast<size_t>(components) * i + 2];
if (components == 4) {
images[3][i] = data[static_cast<size_t>(components) * i + 3];
}
}
}
float *image_ptr[4] = {0, 0, 0, 0};
if (components == 4) {
image_ptr[0] = &(images[3].at(0)); // A
image_ptr[1] = &(images[2].at(0)); // B
image_ptr[2] = &(images[1].at(0)); // G
image_ptr[3] = &(images[0].at(0)); // R
} else if (components == 3) {
image_ptr[0] = &(images[2].at(0)); // B
image_ptr[1] = &(images[1].at(0)); // G
image_ptr[2] = &(images[0].at(0)); // R
} else if (components == 1) {
image_ptr[0] = &(images[0].at(0)); // A
}
image.images = reinterpret_cast<unsigned char **>(image_ptr);
image.width = width;
image.height = height;
header.num_channels = components;
header.channels = static_cast<EXRChannelInfo *>(malloc(
sizeof(EXRChannelInfo) * static_cast<size_t>(header.num_channels)));
// Must be (A)BGR order, since most of EXR viewers expect this channel order.
if (components == 4) {
#ifdef _MSC_VER
strncpy_s(header.channels[0].name, "A", 255);
strncpy_s(header.channels[1].name, "B", 255);
strncpy_s(header.channels[2].name, "G", 255);
strncpy_s(header.channels[3].name, "R", 255);
#else
strncpy(header.channels[0].name, "A", 255);
strncpy(header.channels[1].name, "B", 255);
strncpy(header.channels[2].name, "G", 255);
strncpy(header.channels[3].name, "R", 255);
#endif
header.channels[0].name[strlen("A")] = '\0';
header.channels[1].name[strlen("B")] = '\0';
header.channels[2].name[strlen("G")] = '\0';
header.channels[3].name[strlen("R")] = '\0';
} else if (components == 3) {
#ifdef _MSC_VER
strncpy_s(header.channels[0].name, "B", 255);
strncpy_s(header.channels[1].name, "G", 255);
strncpy_s(header.channels[2].name, "R", 255);
#else
strncpy(header.channels[0].name, "B", 255);
strncpy(header.channels[1].name, "G", 255);
strncpy(header.channels[2].name, "R", 255);
#endif
header.channels[0].name[strlen("B")] = '\0';
header.channels[1].name[strlen("G")] = '\0';
header.channels[2].name[strlen("R")] = '\0';
} else {
#ifdef _MSC_VER
strncpy_s(header.channels[0].name, "A", 255);
#else
strncpy(header.channels[0].name, "A", 255);
#endif
header.channels[0].name[strlen("A")] = '\0';
}
header.pixel_types = static_cast<int *>(
malloc(sizeof(int) * static_cast<size_t>(header.num_channels)));
header.requested_pixel_types = static_cast<int *>(
malloc(sizeof(int) * static_cast<size_t>(header.num_channels)));
for (int i = 0; i < header.num_channels; i++) {
header.pixel_types[i] =
TINYEXR_PIXELTYPE_FLOAT; // pixel type of input image
if (save_as_fp16 > 0) {
header.requested_pixel_types[i] =
TINYEXR_PIXELTYPE_HALF; // save with half(fp16) pixel format
} else {
header.requested_pixel_types[i] =
TINYEXR_PIXELTYPE_FLOAT; // save with float(fp32) pixel format(i.e.
// no precision reduction)
}
}
int ret = SaveEXRImageToFile(&image, &header, outfilename, err);
if (ret != TINYEXR_SUCCESS) {
return ret;
}
free(header.channels);
free(header.pixel_types);
free(header.requested_pixel_types);
return ret;
}
#ifdef __clang__
// zero-as-null-ppinter-constant
#pragma clang diagnostic pop
#endif
#endif // TINYEXR_IMPLEMENTATION_DEIFNED
#endif // TINYEXR_IMPLEMENTATION
|
GB_unaryop__identity_uint64_int8.c | //------------------------------------------------------------------------------
// GB_unaryop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2019, All Rights Reserved.
// http://suitesparse.com See GraphBLAS/Doc/License.txt for license.
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_iterator.h"
#include "GB_unaryop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB_unop__identity_uint64_int8
// op(A') function: GB_tran__identity_uint64_int8
// C type: uint64_t
// A type: int8_t
// cast: uint64_t cij = (uint64_t) aij
// unaryop: cij = aij
#define GB_ATYPE \
int8_t
#define GB_CTYPE \
uint64_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
int8_t aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = x ;
// casting
#define GB_CASTING(z, x) \
uint64_t z = (uint64_t) x ;
// cij = op (cast (aij))
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
GB_GETA (aij, Ax, pA) ; \
/* Cx [pC] = op (cast (aij)) */ \
GB_CASTING (x, aij) ; \
GB_OP (GB_CX (pC), x) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_IDENTITY || GxB_NO_UINT64 || GxB_NO_INT8)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop__identity_uint64_int8
(
uint64_t *restrict Cx,
const int8_t *restrict Ax,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (int64_t p = 0 ; p < anz ; p++)
{
GB_CAST_OP (p, p) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_tran__identity_uint64_int8
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t **Rowcounts,
GBI_single_iterator Iter,
const int64_t *restrict A_slice,
int naslice
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#define GB_PHASE_2_OF_2
#include "GB_unaryop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
StmtOpenMP.h | //===- StmtOpenMP.h - Classes for OpenMP directives ------------*- C++ -*-===//
//
// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
//===----------------------------------------------------------------------===//
/// \file
/// This file defines OpenMP AST classes for executable directives and
/// clauses.
///
//===----------------------------------------------------------------------===//
#ifndef LLVM_CLANG_AST_STMTOPENMP_H
#define LLVM_CLANG_AST_STMTOPENMP_H
#include "clang/AST/Expr.h"
#include "clang/AST/OpenMPClause.h"
#include "clang/AST/Stmt.h"
#include "clang/Basic/OpenMPKinds.h"
#include "clang/Basic/SourceLocation.h"
namespace clang {
//===----------------------------------------------------------------------===//
// AST classes for directives.
//===----------------------------------------------------------------------===//
/// This is a basic class for representing single OpenMP executable
/// directive.
///
class OMPExecutableDirective : public Stmt {
friend class ASTStmtReader;
/// Kind of the directive.
OpenMPDirectiveKind Kind;
/// Starting location of the directive (directive keyword).
SourceLocation StartLoc;
/// Ending location of the directive.
SourceLocation EndLoc;
/// Numbers of clauses.
const unsigned NumClauses;
/// Number of child expressions/stmts.
const unsigned NumChildren;
/// Offset from this to the start of clauses.
/// There are NumClauses pointers to clauses, they are followed by
/// NumChildren pointers to child stmts/exprs (if the directive type
/// requires an associated stmt, then it has to be the first of them).
const unsigned ClausesOffset;
/// Get the clauses storage.
MutableArrayRef<OMPClause *> getClauses() {
OMPClause **ClauseStorage = reinterpret_cast<OMPClause **>(
reinterpret_cast<char *>(this) + ClausesOffset);
return MutableArrayRef<OMPClause *>(ClauseStorage, NumClauses);
}
protected:
/// Build instance of directive of class \a K.
///
/// \param SC Statement class.
/// \param K Kind of OpenMP directive.
/// \param StartLoc Starting location of the directive (directive keyword).
/// \param EndLoc Ending location of the directive.
///
template <typename T>
OMPExecutableDirective(const T *, StmtClass SC, OpenMPDirectiveKind K,
SourceLocation StartLoc, SourceLocation EndLoc,
unsigned NumClauses, unsigned NumChildren)
: Stmt(SC), Kind(K), StartLoc(std::move(StartLoc)),
EndLoc(std::move(EndLoc)), NumClauses(NumClauses),
NumChildren(NumChildren),
ClausesOffset(llvm::alignTo(sizeof(T), alignof(OMPClause *))) {}
/// Sets the list of variables for this clause.
///
/// \param Clauses The list of clauses for the directive.
///
void setClauses(ArrayRef<OMPClause *> Clauses);
/// Set the associated statement for the directive.
///
/// /param S Associated statement.
///
void setAssociatedStmt(Stmt *S) {
assert(hasAssociatedStmt() && "no associated statement.");
*child_begin() = S;
}
public:
/// Iterates over a filtered subrange of clauses applied to a
/// directive.
///
/// This iterator visits only clauses of type SpecificClause.
template <typename SpecificClause>
class specific_clause_iterator
: public llvm::iterator_adaptor_base<
specific_clause_iterator<SpecificClause>,
ArrayRef<OMPClause *>::const_iterator, std::forward_iterator_tag,
const SpecificClause *, ptrdiff_t, const SpecificClause *,
const SpecificClause *> {
ArrayRef<OMPClause *>::const_iterator End;
void SkipToNextClause() {
while (this->I != End && !isa<SpecificClause>(*this->I))
++this->I;
}
public:
explicit specific_clause_iterator(ArrayRef<OMPClause *> Clauses)
: specific_clause_iterator::iterator_adaptor_base(Clauses.begin()),
End(Clauses.end()) {
SkipToNextClause();
}
const SpecificClause *operator*() const {
return cast<SpecificClause>(*this->I);
}
const SpecificClause *operator->() const { return **this; }
specific_clause_iterator &operator++() {
++this->I;
SkipToNextClause();
return *this;
}
};
template <typename SpecificClause>
static llvm::iterator_range<specific_clause_iterator<SpecificClause>>
getClausesOfKind(ArrayRef<OMPClause *> Clauses) {
return {specific_clause_iterator<SpecificClause>(Clauses),
specific_clause_iterator<SpecificClause>(
llvm::makeArrayRef(Clauses.end(), 0))};
}
template <typename SpecificClause>
llvm::iterator_range<specific_clause_iterator<SpecificClause>>
getClausesOfKind() const {
return getClausesOfKind<SpecificClause>(clauses());
}
/// Gets a single clause of the specified kind associated with the
/// current directive iff there is only one clause of this kind (and assertion
/// is fired if there is more than one clause is associated with the
/// directive). Returns nullptr if no clause of this kind is associated with
/// the directive.
template <typename SpecificClause>
const SpecificClause *getSingleClause() const {
auto Clauses = getClausesOfKind<SpecificClause>();
if (Clauses.begin() != Clauses.end()) {
assert(std::next(Clauses.begin()) == Clauses.end() &&
"There are at least 2 clauses of the specified kind");
return *Clauses.begin();
}
return nullptr;
}
/// Returns true if the current directive has one or more clauses of a
/// specific kind.
template <typename SpecificClause>
bool hasClausesOfKind() const {
auto Clauses = getClausesOfKind<SpecificClause>();
return Clauses.begin() != Clauses.end();
}
/// Returns starting location of directive kind.
SourceLocation getBeginLoc() const { return StartLoc; }
/// Returns ending location of directive.
SourceLocation getEndLoc() const { return EndLoc; }
/// Set starting location of directive kind.
///
/// \param Loc New starting location of directive.
///
void setLocStart(SourceLocation Loc) { StartLoc = Loc; }
/// Set ending location of directive.
///
/// \param Loc New ending location of directive.
///
void setLocEnd(SourceLocation Loc) { EndLoc = Loc; }
/// Get number of clauses.
unsigned getNumClauses() const { return NumClauses; }
/// Returns specified clause.
///
/// \param i Number of clause.
///
OMPClause *getClause(unsigned i) const { return clauses()[i]; }
/// Returns true if directive has associated statement.
bool hasAssociatedStmt() const { return NumChildren > 0; }
/// Returns statement associated with the directive.
const Stmt *getAssociatedStmt() const {
assert(hasAssociatedStmt() && "no associated statement.");
return *child_begin();
}
Stmt *getAssociatedStmt() {
assert(hasAssociatedStmt() && "no associated statement.");
return *child_begin();
}
/// Returns the captured statement associated with the
/// component region within the (combined) directive.
//
// \param RegionKind Component region kind.
const CapturedStmt *getCapturedStmt(OpenMPDirectiveKind RegionKind) const {
SmallVector<OpenMPDirectiveKind, 4> CaptureRegions;
getOpenMPCaptureRegions(CaptureRegions, getDirectiveKind());
assert(std::any_of(
CaptureRegions.begin(), CaptureRegions.end(),
[=](const OpenMPDirectiveKind K) { return K == RegionKind; }) &&
"RegionKind not found in OpenMP CaptureRegions.");
auto *CS = cast<CapturedStmt>(getAssociatedStmt());
for (auto ThisCaptureRegion : CaptureRegions) {
if (ThisCaptureRegion == RegionKind)
return CS;
CS = cast<CapturedStmt>(CS->getCapturedStmt());
}
llvm_unreachable("Incorrect RegionKind specified for directive.");
}
/// Get innermost captured statement for the construct.
CapturedStmt *getInnermostCapturedStmt() {
assert(hasAssociatedStmt() && getAssociatedStmt() &&
"Must have associated statement.");
SmallVector<OpenMPDirectiveKind, 4> CaptureRegions;
getOpenMPCaptureRegions(CaptureRegions, getDirectiveKind());
assert(!CaptureRegions.empty() &&
"At least one captured statement must be provided.");
auto *CS = cast<CapturedStmt>(getAssociatedStmt());
for (unsigned Level = CaptureRegions.size(); Level > 1; --Level)
CS = cast<CapturedStmt>(CS->getCapturedStmt());
return CS;
}
const CapturedStmt *getInnermostCapturedStmt() const {
return const_cast<OMPExecutableDirective *>(this)
->getInnermostCapturedStmt();
}
OpenMPDirectiveKind getDirectiveKind() const { return Kind; }
static bool classof(const Stmt *S) {
return S->getStmtClass() >= firstOMPExecutableDirectiveConstant &&
S->getStmtClass() <= lastOMPExecutableDirectiveConstant;
}
child_range children() {
if (!hasAssociatedStmt())
return child_range(child_iterator(), child_iterator());
Stmt **ChildStorage = reinterpret_cast<Stmt **>(getClauses().end());
/// Do not mark all the special expression/statements as children, except
/// for the associated statement.
return child_range(ChildStorage, ChildStorage + 1);
}
const_child_range children() const {
if (!hasAssociatedStmt())
return const_child_range(const_child_iterator(), const_child_iterator());
Stmt **ChildStorage = reinterpret_cast<Stmt **>(
const_cast<OMPExecutableDirective *>(this)->getClauses().end());
return const_child_range(ChildStorage, ChildStorage + 1);
}
ArrayRef<OMPClause *> clauses() { return getClauses(); }
ArrayRef<OMPClause *> clauses() const {
return const_cast<OMPExecutableDirective *>(this)->getClauses();
}
/// Returns whether or not this is a Standalone directive.
///
/// Stand-alone directives are executable directives
/// that have no associated user code.
bool isStandaloneDirective() const;
/// Returns the AST node representing OpenMP structured-block of this
/// OpenMP executable directive,
/// Prerequisite: Executable Directive must not be Standalone directive.
const Stmt *getStructuredBlock() const;
Stmt *getStructuredBlock() {
return const_cast<Stmt *>(
const_cast<const OMPExecutableDirective *>(this)->getStructuredBlock());
}
};
/// This represents '#pragma omp parallel' directive.
///
/// \code
/// #pragma omp parallel private(a,b) reduction(+: c,d)
/// \endcode
/// In this example directive '#pragma omp parallel' has clauses 'private'
/// with the variables 'a' and 'b' and 'reduction' with operator '+' and
/// variables 'c' and 'd'.
///
class OMPParallelDirective : public OMPExecutableDirective {
friend class ASTStmtReader;
/// true if the construct has inner cancel directive.
bool HasCancel;
/// Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive (directive keyword).
/// \param EndLoc Ending Location of the directive.
///
OMPParallelDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned NumClauses)
: OMPExecutableDirective(this, OMPParallelDirectiveClass, OMPD_parallel,
StartLoc, EndLoc, NumClauses, 1),
HasCancel(false) {}
/// Build an empty directive.
///
/// \param NumClauses Number of clauses.
///
explicit OMPParallelDirective(unsigned NumClauses)
: OMPExecutableDirective(this, OMPParallelDirectiveClass, OMPD_parallel,
SourceLocation(), SourceLocation(), NumClauses,
1),
HasCancel(false) {}
/// Set cancel state.
void setHasCancel(bool Has) { HasCancel = Has; }
public:
/// Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement associated with the directive.
/// \param HasCancel true if this directive has inner cancel directive.
///
static OMPParallelDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
ArrayRef<OMPClause *> Clauses, Stmt *AssociatedStmt, bool HasCancel);
/// Creates an empty directive with the place for \a N clauses.
///
/// \param C AST context.
/// \param NumClauses Number of clauses.
///
static OMPParallelDirective *CreateEmpty(const ASTContext &C,
unsigned NumClauses, EmptyShell);
/// Return true if current directive has inner cancel directive.
bool hasCancel() const { return HasCancel; }
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPParallelDirectiveClass;
}
};
/// This is a common base class for loop directives ('omp simd', 'omp
/// for', 'omp for simd' etc.). It is responsible for the loop code generation.
///
class OMPLoopDirective : public OMPExecutableDirective {
friend class ASTStmtReader;
/// Number of collapsed loops as specified by 'collapse' clause.
unsigned CollapsedNum;
/// Offsets to the stored exprs.
/// This enumeration contains offsets to all the pointers to children
/// expressions stored in OMPLoopDirective.
/// The first 9 children are necessary for all the loop directives,
/// the next 8 are specific to the worksharing ones, and the next 11 are
/// used for combined constructs containing two pragmas associated to loops.
/// After the fixed children, three arrays of length CollapsedNum are
/// allocated: loop counters, their updates and final values.
/// PrevLowerBound and PrevUpperBound are used to communicate blocking
/// information in composite constructs which require loop blocking
/// DistInc is used to generate the increment expression for the distribute
/// loop when combined with a further nested loop
/// PrevEnsureUpperBound is used as the EnsureUpperBound expression for the
/// for loop when combined with a previous distribute loop in the same pragma
/// (e.g. 'distribute parallel for')
///
enum {
AssociatedStmtOffset = 0,
IterationVariableOffset = 1,
LastIterationOffset = 2,
CalcLastIterationOffset = 3,
PreConditionOffset = 4,
CondOffset = 5,
InitOffset = 6,
IncOffset = 7,
PreInitsOffset = 8,
// The '...End' enumerators do not correspond to child expressions - they
// specify the offset to the end (and start of the following counters/
// updates/finals arrays).
DefaultEnd = 9,
// The following 8 exprs are used by worksharing and distribute loops only.
IsLastIterVariableOffset = 9,
LowerBoundVariableOffset = 10,
UpperBoundVariableOffset = 11,
StrideVariableOffset = 12,
EnsureUpperBoundOffset = 13,
NextLowerBoundOffset = 14,
NextUpperBoundOffset = 15,
NumIterationsOffset = 16,
// Offset to the end for worksharing loop directives.
WorksharingEnd = 17,
PrevLowerBoundVariableOffset = 17,
PrevUpperBoundVariableOffset = 18,
DistIncOffset = 19,
PrevEnsureUpperBoundOffset = 20,
CombinedLowerBoundVariableOffset = 21,
CombinedUpperBoundVariableOffset = 22,
CombinedEnsureUpperBoundOffset = 23,
CombinedInitOffset = 24,
CombinedConditionOffset = 25,
CombinedNextLowerBoundOffset = 26,
CombinedNextUpperBoundOffset = 27,
CombinedDistConditionOffset = 28,
CombinedParForInDistConditionOffset = 29,
// Offset to the end (and start of the following counters/updates/finals
// arrays) for combined distribute loop directives.
CombinedDistributeEnd = 30,
};
/// Get the counters storage.
MutableArrayRef<Expr *> getCounters() {
Expr **Storage = reinterpret_cast<Expr **>(
&(*(std::next(child_begin(), getArraysOffset(getDirectiveKind())))));
return MutableArrayRef<Expr *>(Storage, CollapsedNum);
}
/// Get the private counters storage.
MutableArrayRef<Expr *> getPrivateCounters() {
Expr **Storage = reinterpret_cast<Expr **>(&*std::next(
child_begin(), getArraysOffset(getDirectiveKind()) + CollapsedNum));
return MutableArrayRef<Expr *>(Storage, CollapsedNum);
}
/// Get the updates storage.
MutableArrayRef<Expr *> getInits() {
Expr **Storage = reinterpret_cast<Expr **>(
&*std::next(child_begin(),
getArraysOffset(getDirectiveKind()) + 2 * CollapsedNum));
return MutableArrayRef<Expr *>(Storage, CollapsedNum);
}
/// Get the updates storage.
MutableArrayRef<Expr *> getUpdates() {
Expr **Storage = reinterpret_cast<Expr **>(
&*std::next(child_begin(),
getArraysOffset(getDirectiveKind()) + 3 * CollapsedNum));
return MutableArrayRef<Expr *>(Storage, CollapsedNum);
}
/// Get the final counter updates storage.
MutableArrayRef<Expr *> getFinals() {
Expr **Storage = reinterpret_cast<Expr **>(
&*std::next(child_begin(),
getArraysOffset(getDirectiveKind()) + 4 * CollapsedNum));
return MutableArrayRef<Expr *>(Storage, CollapsedNum);
}
protected:
/// Build instance of loop directive of class \a Kind.
///
/// \param SC Statement class.
/// \param Kind Kind of OpenMP directive.
/// \param StartLoc Starting location of the directive (directive keyword).
/// \param EndLoc Ending location of the directive.
/// \param CollapsedNum Number of collapsed loops from 'collapse' clause.
/// \param NumClauses Number of clauses.
/// \param NumSpecialChildren Number of additional directive-specific stmts.
///
template <typename T>
OMPLoopDirective(const T *That, StmtClass SC, OpenMPDirectiveKind Kind,
SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, unsigned NumClauses,
unsigned NumSpecialChildren = 0)
: OMPExecutableDirective(That, SC, Kind, StartLoc, EndLoc, NumClauses,
numLoopChildren(CollapsedNum, Kind) +
NumSpecialChildren),
CollapsedNum(CollapsedNum) {}
/// Offset to the start of children expression arrays.
static unsigned getArraysOffset(OpenMPDirectiveKind Kind) {
if (isOpenMPLoopBoundSharingDirective(Kind))
return CombinedDistributeEnd;
if (isOpenMPWorksharingDirective(Kind) || isOpenMPTaskLoopDirective(Kind) ||
isOpenMPDistributeDirective(Kind))
return WorksharingEnd;
return DefaultEnd;
}
/// Children number.
static unsigned numLoopChildren(unsigned CollapsedNum,
OpenMPDirectiveKind Kind) {
return getArraysOffset(Kind) + 5 * CollapsedNum; // Counters,
// PrivateCounters, Inits,
// Updates and Finals
}
void setIterationVariable(Expr *IV) {
*std::next(child_begin(), IterationVariableOffset) = IV;
}
void setLastIteration(Expr *LI) {
*std::next(child_begin(), LastIterationOffset) = LI;
}
void setCalcLastIteration(Expr *CLI) {
*std::next(child_begin(), CalcLastIterationOffset) = CLI;
}
void setPreCond(Expr *PC) {
*std::next(child_begin(), PreConditionOffset) = PC;
}
void setCond(Expr *Cond) {
*std::next(child_begin(), CondOffset) = Cond;
}
void setInit(Expr *Init) { *std::next(child_begin(), InitOffset) = Init; }
void setInc(Expr *Inc) { *std::next(child_begin(), IncOffset) = Inc; }
void setPreInits(Stmt *PreInits) {
*std::next(child_begin(), PreInitsOffset) = PreInits;
}
void setIsLastIterVariable(Expr *IL) {
assert((isOpenMPWorksharingDirective(getDirectiveKind()) ||
isOpenMPTaskLoopDirective(getDirectiveKind()) ||
isOpenMPDistributeDirective(getDirectiveKind())) &&
"expected worksharing loop directive");
*std::next(child_begin(), IsLastIterVariableOffset) = IL;
}
void setLowerBoundVariable(Expr *LB) {
assert((isOpenMPWorksharingDirective(getDirectiveKind()) ||
isOpenMPTaskLoopDirective(getDirectiveKind()) ||
isOpenMPDistributeDirective(getDirectiveKind())) &&
"expected worksharing loop directive");
*std::next(child_begin(), LowerBoundVariableOffset) = LB;
}
void setUpperBoundVariable(Expr *UB) {
assert((isOpenMPWorksharingDirective(getDirectiveKind()) ||
isOpenMPTaskLoopDirective(getDirectiveKind()) ||
isOpenMPDistributeDirective(getDirectiveKind())) &&
"expected worksharing loop directive");
*std::next(child_begin(), UpperBoundVariableOffset) = UB;
}
void setStrideVariable(Expr *ST) {
assert((isOpenMPWorksharingDirective(getDirectiveKind()) ||
isOpenMPTaskLoopDirective(getDirectiveKind()) ||
isOpenMPDistributeDirective(getDirectiveKind())) &&
"expected worksharing loop directive");
*std::next(child_begin(), StrideVariableOffset) = ST;
}
void setEnsureUpperBound(Expr *EUB) {
assert((isOpenMPWorksharingDirective(getDirectiveKind()) ||
isOpenMPTaskLoopDirective(getDirectiveKind()) ||
isOpenMPDistributeDirective(getDirectiveKind())) &&
"expected worksharing loop directive");
*std::next(child_begin(), EnsureUpperBoundOffset) = EUB;
}
void setNextLowerBound(Expr *NLB) {
assert((isOpenMPWorksharingDirective(getDirectiveKind()) ||
isOpenMPTaskLoopDirective(getDirectiveKind()) ||
isOpenMPDistributeDirective(getDirectiveKind())) &&
"expected worksharing loop directive");
*std::next(child_begin(), NextLowerBoundOffset) = NLB;
}
void setNextUpperBound(Expr *NUB) {
assert((isOpenMPWorksharingDirective(getDirectiveKind()) ||
isOpenMPTaskLoopDirective(getDirectiveKind()) ||
isOpenMPDistributeDirective(getDirectiveKind())) &&
"expected worksharing loop directive");
*std::next(child_begin(), NextUpperBoundOffset) = NUB;
}
void setNumIterations(Expr *NI) {
assert((isOpenMPWorksharingDirective(getDirectiveKind()) ||
isOpenMPTaskLoopDirective(getDirectiveKind()) ||
isOpenMPDistributeDirective(getDirectiveKind())) &&
"expected worksharing loop directive");
*std::next(child_begin(), NumIterationsOffset) = NI;
}
void setPrevLowerBoundVariable(Expr *PrevLB) {
assert(isOpenMPLoopBoundSharingDirective(getDirectiveKind()) &&
"expected loop bound sharing directive");
*std::next(child_begin(), PrevLowerBoundVariableOffset) = PrevLB;
}
void setPrevUpperBoundVariable(Expr *PrevUB) {
assert(isOpenMPLoopBoundSharingDirective(getDirectiveKind()) &&
"expected loop bound sharing directive");
*std::next(child_begin(), PrevUpperBoundVariableOffset) = PrevUB;
}
void setDistInc(Expr *DistInc) {
assert(isOpenMPLoopBoundSharingDirective(getDirectiveKind()) &&
"expected loop bound sharing directive");
*std::next(child_begin(), DistIncOffset) = DistInc;
}
void setPrevEnsureUpperBound(Expr *PrevEUB) {
assert(isOpenMPLoopBoundSharingDirective(getDirectiveKind()) &&
"expected loop bound sharing directive");
*std::next(child_begin(), PrevEnsureUpperBoundOffset) = PrevEUB;
}
void setCombinedLowerBoundVariable(Expr *CombLB) {
assert(isOpenMPLoopBoundSharingDirective(getDirectiveKind()) &&
"expected loop bound sharing directive");
*std::next(child_begin(), CombinedLowerBoundVariableOffset) = CombLB;
}
void setCombinedUpperBoundVariable(Expr *CombUB) {
assert(isOpenMPLoopBoundSharingDirective(getDirectiveKind()) &&
"expected loop bound sharing directive");
*std::next(child_begin(), CombinedUpperBoundVariableOffset) = CombUB;
}
void setCombinedEnsureUpperBound(Expr *CombEUB) {
assert(isOpenMPLoopBoundSharingDirective(getDirectiveKind()) &&
"expected loop bound sharing directive");
*std::next(child_begin(), CombinedEnsureUpperBoundOffset) = CombEUB;
}
void setCombinedInit(Expr *CombInit) {
assert(isOpenMPLoopBoundSharingDirective(getDirectiveKind()) &&
"expected loop bound sharing directive");
*std::next(child_begin(), CombinedInitOffset) = CombInit;
}
void setCombinedCond(Expr *CombCond) {
assert(isOpenMPLoopBoundSharingDirective(getDirectiveKind()) &&
"expected loop bound sharing directive");
*std::next(child_begin(), CombinedConditionOffset) = CombCond;
}
void setCombinedNextLowerBound(Expr *CombNLB) {
assert(isOpenMPLoopBoundSharingDirective(getDirectiveKind()) &&
"expected loop bound sharing directive");
*std::next(child_begin(), CombinedNextLowerBoundOffset) = CombNLB;
}
void setCombinedNextUpperBound(Expr *CombNUB) {
assert(isOpenMPLoopBoundSharingDirective(getDirectiveKind()) &&
"expected loop bound sharing directive");
*std::next(child_begin(), CombinedNextUpperBoundOffset) = CombNUB;
}
void setCombinedDistCond(Expr *CombDistCond) {
assert(isOpenMPLoopBoundSharingDirective(getDirectiveKind()) &&
"expected loop bound distribute sharing directive");
*std::next(child_begin(), CombinedDistConditionOffset) = CombDistCond;
}
void setCombinedParForInDistCond(Expr *CombParForInDistCond) {
assert(isOpenMPLoopBoundSharingDirective(getDirectiveKind()) &&
"expected loop bound distribute sharing directive");
*std::next(child_begin(),
CombinedParForInDistConditionOffset) = CombParForInDistCond;
}
void setCounters(ArrayRef<Expr *> A);
void setPrivateCounters(ArrayRef<Expr *> A);
void setInits(ArrayRef<Expr *> A);
void setUpdates(ArrayRef<Expr *> A);
void setFinals(ArrayRef<Expr *> A);
public:
/// The expressions built to support OpenMP loops in combined/composite
/// pragmas (e.g. pragma omp distribute parallel for)
struct DistCombinedHelperExprs {
/// DistributeLowerBound - used when composing 'omp distribute' with
/// 'omp for' in a same construct.
Expr *LB;
/// DistributeUpperBound - used when composing 'omp distribute' with
/// 'omp for' in a same construct.
Expr *UB;
/// DistributeEnsureUpperBound - used when composing 'omp distribute'
/// with 'omp for' in a same construct, EUB depends on DistUB
Expr *EUB;
/// Distribute loop iteration variable init used when composing 'omp
/// distribute'
/// with 'omp for' in a same construct
Expr *Init;
/// Distribute Loop condition used when composing 'omp distribute'
/// with 'omp for' in a same construct
Expr *Cond;
/// Update of LowerBound for statically scheduled omp loops for
/// outer loop in combined constructs (e.g. 'distribute parallel for')
Expr *NLB;
/// Update of UpperBound for statically scheduled omp loops for
/// outer loop in combined constructs (e.g. 'distribute parallel for')
Expr *NUB;
/// Distribute Loop condition used when composing 'omp distribute'
/// with 'omp for' in a same construct when schedule is chunked.
Expr *DistCond;
/// 'omp parallel for' loop condition used when composed with
/// 'omp distribute' in the same construct and when schedule is
/// chunked and the chunk size is 1.
Expr *ParForInDistCond;
};
/// The expressions built for the OpenMP loop CodeGen for the
/// whole collapsed loop nest.
struct HelperExprs {
/// Loop iteration variable.
Expr *IterationVarRef;
/// Loop last iteration number.
Expr *LastIteration;
/// Loop number of iterations.
Expr *NumIterations;
/// Calculation of last iteration.
Expr *CalcLastIteration;
/// Loop pre-condition.
Expr *PreCond;
/// Loop condition.
Expr *Cond;
/// Loop iteration variable init.
Expr *Init;
/// Loop increment.
Expr *Inc;
/// IsLastIteration - local flag variable passed to runtime.
Expr *IL;
/// LowerBound - local variable passed to runtime.
Expr *LB;
/// UpperBound - local variable passed to runtime.
Expr *UB;
/// Stride - local variable passed to runtime.
Expr *ST;
/// EnsureUpperBound -- expression UB = min(UB, NumIterations).
Expr *EUB;
/// Update of LowerBound for statically scheduled 'omp for' loops.
Expr *NLB;
/// Update of UpperBound for statically scheduled 'omp for' loops.
Expr *NUB;
/// PreviousLowerBound - local variable passed to runtime in the
/// enclosing schedule or null if that does not apply.
Expr *PrevLB;
/// PreviousUpperBound - local variable passed to runtime in the
/// enclosing schedule or null if that does not apply.
Expr *PrevUB;
/// DistInc - increment expression for distribute loop when found
/// combined with a further loop level (e.g. in 'distribute parallel for')
/// expression IV = IV + ST
Expr *DistInc;
/// PrevEUB - expression similar to EUB but to be used when loop
/// scheduling uses PrevLB and PrevUB (e.g. in 'distribute parallel for'
/// when ensuring that the UB is either the calculated UB by the runtime or
/// the end of the assigned distribute chunk)
/// expression UB = min (UB, PrevUB)
Expr *PrevEUB;
/// Counters Loop counters.
SmallVector<Expr *, 4> Counters;
/// PrivateCounters Loop counters.
SmallVector<Expr *, 4> PrivateCounters;
/// Expressions for loop counters inits for CodeGen.
SmallVector<Expr *, 4> Inits;
/// Expressions for loop counters update for CodeGen.
SmallVector<Expr *, 4> Updates;
/// Final loop counter values for GodeGen.
SmallVector<Expr *, 4> Finals;
/// Init statement for all captured expressions.
Stmt *PreInits;
/// Expressions used when combining OpenMP loop pragmas
DistCombinedHelperExprs DistCombinedFields;
/// Check if all the expressions are built (does not check the
/// worksharing ones).
bool builtAll() {
return IterationVarRef != nullptr && LastIteration != nullptr &&
NumIterations != nullptr && PreCond != nullptr &&
Cond != nullptr && Init != nullptr && Inc != nullptr;
}
/// Initialize all the fields to null.
/// \param Size Number of elements in the counters/finals/updates arrays.
void clear(unsigned Size) {
IterationVarRef = nullptr;
LastIteration = nullptr;
CalcLastIteration = nullptr;
PreCond = nullptr;
Cond = nullptr;
Init = nullptr;
Inc = nullptr;
IL = nullptr;
LB = nullptr;
UB = nullptr;
ST = nullptr;
EUB = nullptr;
NLB = nullptr;
NUB = nullptr;
NumIterations = nullptr;
PrevLB = nullptr;
PrevUB = nullptr;
DistInc = nullptr;
PrevEUB = nullptr;
Counters.resize(Size);
PrivateCounters.resize(Size);
Inits.resize(Size);
Updates.resize(Size);
Finals.resize(Size);
for (unsigned i = 0; i < Size; ++i) {
Counters[i] = nullptr;
PrivateCounters[i] = nullptr;
Inits[i] = nullptr;
Updates[i] = nullptr;
Finals[i] = nullptr;
}
PreInits = nullptr;
DistCombinedFields.LB = nullptr;
DistCombinedFields.UB = nullptr;
DistCombinedFields.EUB = nullptr;
DistCombinedFields.Init = nullptr;
DistCombinedFields.Cond = nullptr;
DistCombinedFields.NLB = nullptr;
DistCombinedFields.NUB = nullptr;
DistCombinedFields.DistCond = nullptr;
DistCombinedFields.ParForInDistCond = nullptr;
}
};
/// Get number of collapsed loops.
unsigned getCollapsedNumber() const { return CollapsedNum; }
Expr *getIterationVariable() const {
return const_cast<Expr *>(reinterpret_cast<const Expr *>(
*std::next(child_begin(), IterationVariableOffset)));
}
Expr *getLastIteration() const {
return const_cast<Expr *>(reinterpret_cast<const Expr *>(
*std::next(child_begin(), LastIterationOffset)));
}
Expr *getCalcLastIteration() const {
return const_cast<Expr *>(reinterpret_cast<const Expr *>(
*std::next(child_begin(), CalcLastIterationOffset)));
}
Expr *getPreCond() const {
return const_cast<Expr *>(reinterpret_cast<const Expr *>(
*std::next(child_begin(), PreConditionOffset)));
}
Expr *getCond() const {
return const_cast<Expr *>(
reinterpret_cast<const Expr *>(*std::next(child_begin(), CondOffset)));
}
Expr *getInit() const {
return const_cast<Expr *>(
reinterpret_cast<const Expr *>(*std::next(child_begin(), InitOffset)));
}
Expr *getInc() const {
return const_cast<Expr *>(
reinterpret_cast<const Expr *>(*std::next(child_begin(), IncOffset)));
}
const Stmt *getPreInits() const {
return *std::next(child_begin(), PreInitsOffset);
}
Stmt *getPreInits() { return *std::next(child_begin(), PreInitsOffset); }
Expr *getIsLastIterVariable() const {
assert((isOpenMPWorksharingDirective(getDirectiveKind()) ||
isOpenMPTaskLoopDirective(getDirectiveKind()) ||
isOpenMPDistributeDirective(getDirectiveKind())) &&
"expected worksharing loop directive");
return const_cast<Expr *>(reinterpret_cast<const Expr *>(
*std::next(child_begin(), IsLastIterVariableOffset)));
}
Expr *getLowerBoundVariable() const {
assert((isOpenMPWorksharingDirective(getDirectiveKind()) ||
isOpenMPTaskLoopDirective(getDirectiveKind()) ||
isOpenMPDistributeDirective(getDirectiveKind())) &&
"expected worksharing loop directive");
return const_cast<Expr *>(reinterpret_cast<const Expr *>(
*std::next(child_begin(), LowerBoundVariableOffset)));
}
Expr *getUpperBoundVariable() const {
assert((isOpenMPWorksharingDirective(getDirectiveKind()) ||
isOpenMPTaskLoopDirective(getDirectiveKind()) ||
isOpenMPDistributeDirective(getDirectiveKind())) &&
"expected worksharing loop directive");
return const_cast<Expr *>(reinterpret_cast<const Expr *>(
*std::next(child_begin(), UpperBoundVariableOffset)));
}
Expr *getStrideVariable() const {
assert((isOpenMPWorksharingDirective(getDirectiveKind()) ||
isOpenMPTaskLoopDirective(getDirectiveKind()) ||
isOpenMPDistributeDirective(getDirectiveKind())) &&
"expected worksharing loop directive");
return const_cast<Expr *>(reinterpret_cast<const Expr *>(
*std::next(child_begin(), StrideVariableOffset)));
}
Expr *getEnsureUpperBound() const {
assert((isOpenMPWorksharingDirective(getDirectiveKind()) ||
isOpenMPTaskLoopDirective(getDirectiveKind()) ||
isOpenMPDistributeDirective(getDirectiveKind())) &&
"expected worksharing loop directive");
return const_cast<Expr *>(reinterpret_cast<const Expr *>(
*std::next(child_begin(), EnsureUpperBoundOffset)));
}
Expr *getNextLowerBound() const {
assert((isOpenMPWorksharingDirective(getDirectiveKind()) ||
isOpenMPTaskLoopDirective(getDirectiveKind()) ||
isOpenMPDistributeDirective(getDirectiveKind())) &&
"expected worksharing loop directive");
return const_cast<Expr *>(reinterpret_cast<const Expr *>(
*std::next(child_begin(), NextLowerBoundOffset)));
}
Expr *getNextUpperBound() const {
assert((isOpenMPWorksharingDirective(getDirectiveKind()) ||
isOpenMPTaskLoopDirective(getDirectiveKind()) ||
isOpenMPDistributeDirective(getDirectiveKind())) &&
"expected worksharing loop directive");
return const_cast<Expr *>(reinterpret_cast<const Expr *>(
*std::next(child_begin(), NextUpperBoundOffset)));
}
Expr *getNumIterations() const {
assert((isOpenMPWorksharingDirective(getDirectiveKind()) ||
isOpenMPTaskLoopDirective(getDirectiveKind()) ||
isOpenMPDistributeDirective(getDirectiveKind())) &&
"expected worksharing loop directive");
return const_cast<Expr *>(reinterpret_cast<const Expr *>(
*std::next(child_begin(), NumIterationsOffset)));
}
Expr *getPrevLowerBoundVariable() const {
assert(isOpenMPLoopBoundSharingDirective(getDirectiveKind()) &&
"expected loop bound sharing directive");
return const_cast<Expr *>(reinterpret_cast<const Expr *>(
*std::next(child_begin(), PrevLowerBoundVariableOffset)));
}
Expr *getPrevUpperBoundVariable() const {
assert(isOpenMPLoopBoundSharingDirective(getDirectiveKind()) &&
"expected loop bound sharing directive");
return const_cast<Expr *>(reinterpret_cast<const Expr *>(
*std::next(child_begin(), PrevUpperBoundVariableOffset)));
}
Expr *getDistInc() const {
assert(isOpenMPLoopBoundSharingDirective(getDirectiveKind()) &&
"expected loop bound sharing directive");
return const_cast<Expr *>(reinterpret_cast<const Expr *>(
*std::next(child_begin(), DistIncOffset)));
}
Expr *getPrevEnsureUpperBound() const {
assert(isOpenMPLoopBoundSharingDirective(getDirectiveKind()) &&
"expected loop bound sharing directive");
return const_cast<Expr *>(reinterpret_cast<const Expr *>(
*std::next(child_begin(), PrevEnsureUpperBoundOffset)));
}
Expr *getCombinedLowerBoundVariable() const {
assert(isOpenMPLoopBoundSharingDirective(getDirectiveKind()) &&
"expected loop bound sharing directive");
return const_cast<Expr *>(reinterpret_cast<const Expr *>(
*std::next(child_begin(), CombinedLowerBoundVariableOffset)));
}
Expr *getCombinedUpperBoundVariable() const {
assert(isOpenMPLoopBoundSharingDirective(getDirectiveKind()) &&
"expected loop bound sharing directive");
return const_cast<Expr *>(reinterpret_cast<const Expr *>(
*std::next(child_begin(), CombinedUpperBoundVariableOffset)));
}
Expr *getCombinedEnsureUpperBound() const {
assert(isOpenMPLoopBoundSharingDirective(getDirectiveKind()) &&
"expected loop bound sharing directive");
return const_cast<Expr *>(reinterpret_cast<const Expr *>(
*std::next(child_begin(), CombinedEnsureUpperBoundOffset)));
}
Expr *getCombinedInit() const {
assert(isOpenMPLoopBoundSharingDirective(getDirectiveKind()) &&
"expected loop bound sharing directive");
return const_cast<Expr *>(reinterpret_cast<const Expr *>(
*std::next(child_begin(), CombinedInitOffset)));
}
Expr *getCombinedCond() const {
assert(isOpenMPLoopBoundSharingDirective(getDirectiveKind()) &&
"expected loop bound sharing directive");
return const_cast<Expr *>(reinterpret_cast<const Expr *>(
*std::next(child_begin(), CombinedConditionOffset)));
}
Expr *getCombinedNextLowerBound() const {
assert(isOpenMPLoopBoundSharingDirective(getDirectiveKind()) &&
"expected loop bound sharing directive");
return const_cast<Expr *>(reinterpret_cast<const Expr *>(
*std::next(child_begin(), CombinedNextLowerBoundOffset)));
}
Expr *getCombinedNextUpperBound() const {
assert(isOpenMPLoopBoundSharingDirective(getDirectiveKind()) &&
"expected loop bound sharing directive");
return const_cast<Expr *>(reinterpret_cast<const Expr *>(
*std::next(child_begin(), CombinedNextUpperBoundOffset)));
}
Expr *getCombinedDistCond() const {
assert(isOpenMPLoopBoundSharingDirective(getDirectiveKind()) &&
"expected loop bound distribute sharing directive");
return const_cast<Expr *>(reinterpret_cast<const Expr *>(
*std::next(child_begin(), CombinedDistConditionOffset)));
}
Expr *getCombinedParForInDistCond() const {
assert(isOpenMPLoopBoundSharingDirective(getDirectiveKind()) &&
"expected loop bound distribute sharing directive");
return const_cast<Expr *>(reinterpret_cast<const Expr *>(
*std::next(child_begin(), CombinedParForInDistConditionOffset)));
}
const Stmt *getBody() const {
// This relies on the loop form is already checked by Sema.
const Stmt *Body =
getInnermostCapturedStmt()->getCapturedStmt()->IgnoreContainers();
Body = cast<ForStmt>(Body)->getBody();
for (unsigned Cnt = 1; Cnt < CollapsedNum; ++Cnt) {
Body = Body->IgnoreContainers();
Body = cast<ForStmt>(Body)->getBody();
}
return Body;
}
ArrayRef<Expr *> counters() { return getCounters(); }
ArrayRef<Expr *> counters() const {
return const_cast<OMPLoopDirective *>(this)->getCounters();
}
ArrayRef<Expr *> private_counters() { return getPrivateCounters(); }
ArrayRef<Expr *> private_counters() const {
return const_cast<OMPLoopDirective *>(this)->getPrivateCounters();
}
ArrayRef<Expr *> inits() { return getInits(); }
ArrayRef<Expr *> inits() const {
return const_cast<OMPLoopDirective *>(this)->getInits();
}
ArrayRef<Expr *> updates() { return getUpdates(); }
ArrayRef<Expr *> updates() const {
return const_cast<OMPLoopDirective *>(this)->getUpdates();
}
ArrayRef<Expr *> finals() { return getFinals(); }
ArrayRef<Expr *> finals() const {
return const_cast<OMPLoopDirective *>(this)->getFinals();
}
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPSimdDirectiveClass ||
T->getStmtClass() == OMPForDirectiveClass ||
T->getStmtClass() == OMPForSimdDirectiveClass ||
T->getStmtClass() == OMPParallelForDirectiveClass ||
T->getStmtClass() == OMPParallelForSimdDirectiveClass ||
T->getStmtClass() == OMPTaskLoopDirectiveClass ||
T->getStmtClass() == OMPTaskLoopSimdDirectiveClass ||
T->getStmtClass() == OMPDistributeDirectiveClass ||
T->getStmtClass() == OMPTargetParallelForDirectiveClass ||
T->getStmtClass() == OMPDistributeParallelForDirectiveClass ||
T->getStmtClass() == OMPDistributeParallelForSimdDirectiveClass ||
T->getStmtClass() == OMPDistributeSimdDirectiveClass ||
T->getStmtClass() == OMPTargetParallelForSimdDirectiveClass ||
T->getStmtClass() == OMPTargetSimdDirectiveClass ||
T->getStmtClass() == OMPTeamsDistributeDirectiveClass ||
T->getStmtClass() == OMPTeamsDistributeSimdDirectiveClass ||
T->getStmtClass() ==
OMPTeamsDistributeParallelForSimdDirectiveClass ||
T->getStmtClass() == OMPTeamsDistributeParallelForDirectiveClass ||
T->getStmtClass() ==
OMPTargetTeamsDistributeParallelForDirectiveClass ||
T->getStmtClass() ==
OMPTargetTeamsDistributeParallelForSimdDirectiveClass ||
T->getStmtClass() == OMPTargetTeamsDistributeDirectiveClass ||
T->getStmtClass() == OMPTargetTeamsDistributeSimdDirectiveClass;
}
};
/// This represents '#pragma omp simd' directive.
///
/// \code
/// #pragma omp simd private(a,b) linear(i,j:s) reduction(+:c,d)
/// \endcode
/// In this example directive '#pragma omp simd' has clauses 'private'
/// with the variables 'a' and 'b', 'linear' with variables 'i', 'j' and
/// linear step 's', 'reduction' with operator '+' and variables 'c' and 'd'.
///
class OMPSimdDirective : public OMPLoopDirective {
friend class ASTStmtReader;
/// Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
OMPSimdDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, unsigned NumClauses)
: OMPLoopDirective(this, OMPSimdDirectiveClass, OMPD_simd, StartLoc,
EndLoc, CollapsedNum, NumClauses) {}
/// Build an empty directive.
///
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
explicit OMPSimdDirective(unsigned CollapsedNum, unsigned NumClauses)
: OMPLoopDirective(this, OMPSimdDirectiveClass, OMPD_simd,
SourceLocation(), SourceLocation(), CollapsedNum,
NumClauses) {}
public:
/// Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param CollapsedNum Number of collapsed loops.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
/// \param Exprs Helper expressions for CodeGen.
///
static OMPSimdDirective *Create(const ASTContext &C, SourceLocation StartLoc,
SourceLocation EndLoc, unsigned CollapsedNum,
ArrayRef<OMPClause *> Clauses,
Stmt *AssociatedStmt,
const HelperExprs &Exprs);
/// Creates an empty directive with the place
/// for \a NumClauses clauses.
///
/// \param C AST context.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
static OMPSimdDirective *CreateEmpty(const ASTContext &C, unsigned NumClauses,
unsigned CollapsedNum, EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPSimdDirectiveClass;
}
};
/// This represents '#pragma omp for' directive.
///
/// \code
/// #pragma omp for private(a,b) reduction(+:c,d)
/// \endcode
/// In this example directive '#pragma omp for' has clauses 'private' with the
/// variables 'a' and 'b' and 'reduction' with operator '+' and variables 'c'
/// and 'd'.
///
class OMPForDirective : public OMPLoopDirective {
friend class ASTStmtReader;
/// true if current directive has inner cancel directive.
bool HasCancel;
/// Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
OMPForDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, unsigned NumClauses)
: OMPLoopDirective(this, OMPForDirectiveClass, OMPD_for, StartLoc, EndLoc,
CollapsedNum, NumClauses),
HasCancel(false) {}
/// Build an empty directive.
///
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
explicit OMPForDirective(unsigned CollapsedNum, unsigned NumClauses)
: OMPLoopDirective(this, OMPForDirectiveClass, OMPD_for, SourceLocation(),
SourceLocation(), CollapsedNum, NumClauses),
HasCancel(false) {}
/// Set cancel state.
void setHasCancel(bool Has) { HasCancel = Has; }
public:
/// Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param CollapsedNum Number of collapsed loops.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
/// \param Exprs Helper expressions for CodeGen.
/// \param HasCancel true if current directive has inner cancel directive.
///
static OMPForDirective *Create(const ASTContext &C, SourceLocation StartLoc,
SourceLocation EndLoc, unsigned CollapsedNum,
ArrayRef<OMPClause *> Clauses,
Stmt *AssociatedStmt, const HelperExprs &Exprs,
bool HasCancel);
/// Creates an empty directive with the place
/// for \a NumClauses clauses.
///
/// \param C AST context.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
static OMPForDirective *CreateEmpty(const ASTContext &C, unsigned NumClauses,
unsigned CollapsedNum, EmptyShell);
/// Return true if current directive has inner cancel directive.
bool hasCancel() const { return HasCancel; }
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPForDirectiveClass;
}
};
/// This represents '#pragma omp for simd' directive.
///
/// \code
/// #pragma omp for simd private(a,b) linear(i,j:s) reduction(+:c,d)
/// \endcode
/// In this example directive '#pragma omp for simd' has clauses 'private'
/// with the variables 'a' and 'b', 'linear' with variables 'i', 'j' and
/// linear step 's', 'reduction' with operator '+' and variables 'c' and 'd'.
///
class OMPForSimdDirective : public OMPLoopDirective {
friend class ASTStmtReader;
/// Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
OMPForSimdDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, unsigned NumClauses)
: OMPLoopDirective(this, OMPForSimdDirectiveClass, OMPD_for_simd,
StartLoc, EndLoc, CollapsedNum, NumClauses) {}
/// Build an empty directive.
///
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
explicit OMPForSimdDirective(unsigned CollapsedNum, unsigned NumClauses)
: OMPLoopDirective(this, OMPForSimdDirectiveClass, OMPD_for_simd,
SourceLocation(), SourceLocation(), CollapsedNum,
NumClauses) {}
public:
/// Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param CollapsedNum Number of collapsed loops.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
/// \param Exprs Helper expressions for CodeGen.
///
static OMPForSimdDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, ArrayRef<OMPClause *> Clauses,
Stmt *AssociatedStmt, const HelperExprs &Exprs);
/// Creates an empty directive with the place
/// for \a NumClauses clauses.
///
/// \param C AST context.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
static OMPForSimdDirective *CreateEmpty(const ASTContext &C,
unsigned NumClauses,
unsigned CollapsedNum, EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPForSimdDirectiveClass;
}
};
/// This represents '#pragma omp sections' directive.
///
/// \code
/// #pragma omp sections private(a,b) reduction(+:c,d)
/// \endcode
/// In this example directive '#pragma omp sections' has clauses 'private' with
/// the variables 'a' and 'b' and 'reduction' with operator '+' and variables
/// 'c' and 'd'.
///
class OMPSectionsDirective : public OMPExecutableDirective {
friend class ASTStmtReader;
/// true if current directive has inner cancel directive.
bool HasCancel;
/// Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param NumClauses Number of clauses.
///
OMPSectionsDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned NumClauses)
: OMPExecutableDirective(this, OMPSectionsDirectiveClass, OMPD_sections,
StartLoc, EndLoc, NumClauses, 1),
HasCancel(false) {}
/// Build an empty directive.
///
/// \param NumClauses Number of clauses.
///
explicit OMPSectionsDirective(unsigned NumClauses)
: OMPExecutableDirective(this, OMPSectionsDirectiveClass, OMPD_sections,
SourceLocation(), SourceLocation(), NumClauses,
1),
HasCancel(false) {}
/// Set cancel state.
void setHasCancel(bool Has) { HasCancel = Has; }
public:
/// Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
/// \param HasCancel true if current directive has inner directive.
///
static OMPSectionsDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
ArrayRef<OMPClause *> Clauses, Stmt *AssociatedStmt, bool HasCancel);
/// Creates an empty directive with the place for \a NumClauses
/// clauses.
///
/// \param C AST context.
/// \param NumClauses Number of clauses.
///
static OMPSectionsDirective *CreateEmpty(const ASTContext &C,
unsigned NumClauses, EmptyShell);
/// Return true if current directive has inner cancel directive.
bool hasCancel() const { return HasCancel; }
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPSectionsDirectiveClass;
}
};
/// This represents '#pragma omp section' directive.
///
/// \code
/// #pragma omp section
/// \endcode
///
class OMPSectionDirective : public OMPExecutableDirective {
friend class ASTStmtReader;
/// true if current directive has inner cancel directive.
bool HasCancel;
/// Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
///
OMPSectionDirective(SourceLocation StartLoc, SourceLocation EndLoc)
: OMPExecutableDirective(this, OMPSectionDirectiveClass, OMPD_section,
StartLoc, EndLoc, 0, 1),
HasCancel(false) {}
/// Build an empty directive.
///
explicit OMPSectionDirective()
: OMPExecutableDirective(this, OMPSectionDirectiveClass, OMPD_section,
SourceLocation(), SourceLocation(), 0, 1),
HasCancel(false) {}
public:
/// Creates directive.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param AssociatedStmt Statement, associated with the directive.
/// \param HasCancel true if current directive has inner directive.
///
static OMPSectionDirective *Create(const ASTContext &C,
SourceLocation StartLoc,
SourceLocation EndLoc,
Stmt *AssociatedStmt, bool HasCancel);
/// Creates an empty directive.
///
/// \param C AST context.
///
static OMPSectionDirective *CreateEmpty(const ASTContext &C, EmptyShell);
/// Set cancel state.
void setHasCancel(bool Has) { HasCancel = Has; }
/// Return true if current directive has inner cancel directive.
bool hasCancel() const { return HasCancel; }
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPSectionDirectiveClass;
}
};
/// This represents '#pragma omp single' directive.
///
/// \code
/// #pragma omp single private(a,b) copyprivate(c,d)
/// \endcode
/// In this example directive '#pragma omp single' has clauses 'private' with
/// the variables 'a' and 'b' and 'copyprivate' with variables 'c' and 'd'.
///
class OMPSingleDirective : public OMPExecutableDirective {
friend class ASTStmtReader;
/// Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param NumClauses Number of clauses.
///
OMPSingleDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned NumClauses)
: OMPExecutableDirective(this, OMPSingleDirectiveClass, OMPD_single,
StartLoc, EndLoc, NumClauses, 1) {}
/// Build an empty directive.
///
/// \param NumClauses Number of clauses.
///
explicit OMPSingleDirective(unsigned NumClauses)
: OMPExecutableDirective(this, OMPSingleDirectiveClass, OMPD_single,
SourceLocation(), SourceLocation(), NumClauses,
1) {}
public:
/// Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
///
static OMPSingleDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
ArrayRef<OMPClause *> Clauses, Stmt *AssociatedStmt);
/// Creates an empty directive with the place for \a NumClauses
/// clauses.
///
/// \param C AST context.
/// \param NumClauses Number of clauses.
///
static OMPSingleDirective *CreateEmpty(const ASTContext &C,
unsigned NumClauses, EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPSingleDirectiveClass;
}
};
/// This represents '#pragma omp master' directive.
///
/// \code
/// #pragma omp master
/// \endcode
///
class OMPMasterDirective : public OMPExecutableDirective {
friend class ASTStmtReader;
/// Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
///
OMPMasterDirective(SourceLocation StartLoc, SourceLocation EndLoc)
: OMPExecutableDirective(this, OMPMasterDirectiveClass, OMPD_master,
StartLoc, EndLoc, 0, 1) {}
/// Build an empty directive.
///
explicit OMPMasterDirective()
: OMPExecutableDirective(this, OMPMasterDirectiveClass, OMPD_master,
SourceLocation(), SourceLocation(), 0, 1) {}
public:
/// Creates directive.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param AssociatedStmt Statement, associated with the directive.
///
static OMPMasterDirective *Create(const ASTContext &C,
SourceLocation StartLoc,
SourceLocation EndLoc,
Stmt *AssociatedStmt);
/// Creates an empty directive.
///
/// \param C AST context.
///
static OMPMasterDirective *CreateEmpty(const ASTContext &C, EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPMasterDirectiveClass;
}
};
/// This represents '#pragma omp critical' directive.
///
/// \code
/// #pragma omp critical
/// \endcode
///
class OMPCriticalDirective : public OMPExecutableDirective {
friend class ASTStmtReader;
/// Name of the directive.
DeclarationNameInfo DirName;
/// Build directive with the given start and end location.
///
/// \param Name Name of the directive.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param NumClauses Number of clauses.
///
OMPCriticalDirective(const DeclarationNameInfo &Name, SourceLocation StartLoc,
SourceLocation EndLoc, unsigned NumClauses)
: OMPExecutableDirective(this, OMPCriticalDirectiveClass, OMPD_critical,
StartLoc, EndLoc, NumClauses, 1),
DirName(Name) {}
/// Build an empty directive.
///
/// \param NumClauses Number of clauses.
///
explicit OMPCriticalDirective(unsigned NumClauses)
: OMPExecutableDirective(this, OMPCriticalDirectiveClass, OMPD_critical,
SourceLocation(), SourceLocation(), NumClauses,
1),
DirName() {}
/// Set name of the directive.
///
/// \param Name Name of the directive.
///
void setDirectiveName(const DeclarationNameInfo &Name) { DirName = Name; }
public:
/// Creates directive.
///
/// \param C AST context.
/// \param Name Name of the directive.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
///
static OMPCriticalDirective *
Create(const ASTContext &C, const DeclarationNameInfo &Name,
SourceLocation StartLoc, SourceLocation EndLoc,
ArrayRef<OMPClause *> Clauses, Stmt *AssociatedStmt);
/// Creates an empty directive.
///
/// \param C AST context.
/// \param NumClauses Number of clauses.
///
static OMPCriticalDirective *CreateEmpty(const ASTContext &C,
unsigned NumClauses, EmptyShell);
/// Return name of the directive.
///
DeclarationNameInfo getDirectiveName() const { return DirName; }
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPCriticalDirectiveClass;
}
};
/// This represents '#pragma omp parallel for' directive.
///
/// \code
/// #pragma omp parallel for private(a,b) reduction(+:c,d)
/// \endcode
/// In this example directive '#pragma omp parallel for' has clauses 'private'
/// with the variables 'a' and 'b' and 'reduction' with operator '+' and
/// variables 'c' and 'd'.
///
class OMPParallelForDirective : public OMPLoopDirective {
friend class ASTStmtReader;
/// true if current region has inner cancel directive.
bool HasCancel;
/// Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
OMPParallelForDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, unsigned NumClauses)
: OMPLoopDirective(this, OMPParallelForDirectiveClass, OMPD_parallel_for,
StartLoc, EndLoc, CollapsedNum, NumClauses),
HasCancel(false) {}
/// Build an empty directive.
///
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
explicit OMPParallelForDirective(unsigned CollapsedNum, unsigned NumClauses)
: OMPLoopDirective(this, OMPParallelForDirectiveClass, OMPD_parallel_for,
SourceLocation(), SourceLocation(), CollapsedNum,
NumClauses),
HasCancel(false) {}
/// Set cancel state.
void setHasCancel(bool Has) { HasCancel = Has; }
public:
/// Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param CollapsedNum Number of collapsed loops.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
/// \param Exprs Helper expressions for CodeGen.
/// \param HasCancel true if current directive has inner cancel directive.
///
static OMPParallelForDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, ArrayRef<OMPClause *> Clauses,
Stmt *AssociatedStmt, const HelperExprs &Exprs, bool HasCancel);
/// Creates an empty directive with the place
/// for \a NumClauses clauses.
///
/// \param C AST context.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
static OMPParallelForDirective *CreateEmpty(const ASTContext &C,
unsigned NumClauses,
unsigned CollapsedNum,
EmptyShell);
/// Return true if current directive has inner cancel directive.
bool hasCancel() const { return HasCancel; }
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPParallelForDirectiveClass;
}
};
/// This represents '#pragma omp parallel for simd' directive.
///
/// \code
/// #pragma omp parallel for simd private(a,b) linear(i,j:s) reduction(+:c,d)
/// \endcode
/// In this example directive '#pragma omp parallel for simd' has clauses
/// 'private' with the variables 'a' and 'b', 'linear' with variables 'i', 'j'
/// and linear step 's', 'reduction' with operator '+' and variables 'c' and
/// 'd'.
///
class OMPParallelForSimdDirective : public OMPLoopDirective {
friend class ASTStmtReader;
/// Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
OMPParallelForSimdDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, unsigned NumClauses)
: OMPLoopDirective(this, OMPParallelForSimdDirectiveClass,
OMPD_parallel_for_simd, StartLoc, EndLoc, CollapsedNum,
NumClauses) {}
/// Build an empty directive.
///
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
explicit OMPParallelForSimdDirective(unsigned CollapsedNum,
unsigned NumClauses)
: OMPLoopDirective(this, OMPParallelForSimdDirectiveClass,
OMPD_parallel_for_simd, SourceLocation(),
SourceLocation(), CollapsedNum, NumClauses) {}
public:
/// Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param CollapsedNum Number of collapsed loops.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
/// \param Exprs Helper expressions for CodeGen.
///
static OMPParallelForSimdDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, ArrayRef<OMPClause *> Clauses,
Stmt *AssociatedStmt, const HelperExprs &Exprs);
/// Creates an empty directive with the place
/// for \a NumClauses clauses.
///
/// \param C AST context.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
static OMPParallelForSimdDirective *CreateEmpty(const ASTContext &C,
unsigned NumClauses,
unsigned CollapsedNum,
EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPParallelForSimdDirectiveClass;
}
};
/// This represents '#pragma omp parallel sections' directive.
///
/// \code
/// #pragma omp parallel sections private(a,b) reduction(+:c,d)
/// \endcode
/// In this example directive '#pragma omp parallel sections' has clauses
/// 'private' with the variables 'a' and 'b' and 'reduction' with operator '+'
/// and variables 'c' and 'd'.
///
class OMPParallelSectionsDirective : public OMPExecutableDirective {
friend class ASTStmtReader;
/// true if current directive has inner cancel directive.
bool HasCancel;
/// Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param NumClauses Number of clauses.
///
OMPParallelSectionsDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned NumClauses)
: OMPExecutableDirective(this, OMPParallelSectionsDirectiveClass,
OMPD_parallel_sections, StartLoc, EndLoc,
NumClauses, 1),
HasCancel(false) {}
/// Build an empty directive.
///
/// \param NumClauses Number of clauses.
///
explicit OMPParallelSectionsDirective(unsigned NumClauses)
: OMPExecutableDirective(this, OMPParallelSectionsDirectiveClass,
OMPD_parallel_sections, SourceLocation(),
SourceLocation(), NumClauses, 1),
HasCancel(false) {}
/// Set cancel state.
void setHasCancel(bool Has) { HasCancel = Has; }
public:
/// Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
/// \param HasCancel true if current directive has inner cancel directive.
///
static OMPParallelSectionsDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
ArrayRef<OMPClause *> Clauses, Stmt *AssociatedStmt, bool HasCancel);
/// Creates an empty directive with the place for \a NumClauses
/// clauses.
///
/// \param C AST context.
/// \param NumClauses Number of clauses.
///
static OMPParallelSectionsDirective *
CreateEmpty(const ASTContext &C, unsigned NumClauses, EmptyShell);
/// Return true if current directive has inner cancel directive.
bool hasCancel() const { return HasCancel; }
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPParallelSectionsDirectiveClass;
}
};
/// This represents '#pragma omp task' directive.
///
/// \code
/// #pragma omp task private(a,b) final(d)
/// \endcode
/// In this example directive '#pragma omp task' has clauses 'private' with the
/// variables 'a' and 'b' and 'final' with condition 'd'.
///
class OMPTaskDirective : public OMPExecutableDirective {
friend class ASTStmtReader;
/// true if this directive has inner cancel directive.
bool HasCancel;
/// Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param NumClauses Number of clauses.
///
OMPTaskDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned NumClauses)
: OMPExecutableDirective(this, OMPTaskDirectiveClass, OMPD_task, StartLoc,
EndLoc, NumClauses, 1),
HasCancel(false) {}
/// Build an empty directive.
///
/// \param NumClauses Number of clauses.
///
explicit OMPTaskDirective(unsigned NumClauses)
: OMPExecutableDirective(this, OMPTaskDirectiveClass, OMPD_task,
SourceLocation(), SourceLocation(), NumClauses,
1),
HasCancel(false) {}
/// Set cancel state.
void setHasCancel(bool Has) { HasCancel = Has; }
public:
/// Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
/// \param HasCancel true, if current directive has inner cancel directive.
///
static OMPTaskDirective *Create(const ASTContext &C, SourceLocation StartLoc,
SourceLocation EndLoc,
ArrayRef<OMPClause *> Clauses,
Stmt *AssociatedStmt, bool HasCancel);
/// Creates an empty directive with the place for \a NumClauses
/// clauses.
///
/// \param C AST context.
/// \param NumClauses Number of clauses.
///
static OMPTaskDirective *CreateEmpty(const ASTContext &C, unsigned NumClauses,
EmptyShell);
/// Return true if current directive has inner cancel directive.
bool hasCancel() const { return HasCancel; }
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPTaskDirectiveClass;
}
};
/// This represents '#pragma omp taskyield' directive.
///
/// \code
/// #pragma omp taskyield
/// \endcode
///
class OMPTaskyieldDirective : public OMPExecutableDirective {
friend class ASTStmtReader;
/// Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
///
OMPTaskyieldDirective(SourceLocation StartLoc, SourceLocation EndLoc)
: OMPExecutableDirective(this, OMPTaskyieldDirectiveClass, OMPD_taskyield,
StartLoc, EndLoc, 0, 0) {}
/// Build an empty directive.
///
explicit OMPTaskyieldDirective()
: OMPExecutableDirective(this, OMPTaskyieldDirectiveClass, OMPD_taskyield,
SourceLocation(), SourceLocation(), 0, 0) {}
public:
/// Creates directive.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
///
static OMPTaskyieldDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc);
/// Creates an empty directive.
///
/// \param C AST context.
///
static OMPTaskyieldDirective *CreateEmpty(const ASTContext &C, EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPTaskyieldDirectiveClass;
}
};
/// This represents '#pragma omp barrier' directive.
///
/// \code
/// #pragma omp barrier
/// \endcode
///
class OMPBarrierDirective : public OMPExecutableDirective {
friend class ASTStmtReader;
/// Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
///
OMPBarrierDirective(SourceLocation StartLoc, SourceLocation EndLoc)
: OMPExecutableDirective(this, OMPBarrierDirectiveClass, OMPD_barrier,
StartLoc, EndLoc, 0, 0) {}
/// Build an empty directive.
///
explicit OMPBarrierDirective()
: OMPExecutableDirective(this, OMPBarrierDirectiveClass, OMPD_barrier,
SourceLocation(), SourceLocation(), 0, 0) {}
public:
/// Creates directive.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
///
static OMPBarrierDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc);
/// Creates an empty directive.
///
/// \param C AST context.
///
static OMPBarrierDirective *CreateEmpty(const ASTContext &C, EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPBarrierDirectiveClass;
}
};
/// This represents '#pragma omp taskwait' directive.
///
/// \code
/// #pragma omp taskwait
/// \endcode
///
class OMPTaskwaitDirective : public OMPExecutableDirective {
friend class ASTStmtReader;
/// Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
///
OMPTaskwaitDirective(SourceLocation StartLoc, SourceLocation EndLoc)
: OMPExecutableDirective(this, OMPTaskwaitDirectiveClass, OMPD_taskwait,
StartLoc, EndLoc, 0, 0) {}
/// Build an empty directive.
///
explicit OMPTaskwaitDirective()
: OMPExecutableDirective(this, OMPTaskwaitDirectiveClass, OMPD_taskwait,
SourceLocation(), SourceLocation(), 0, 0) {}
public:
/// Creates directive.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
///
static OMPTaskwaitDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc);
/// Creates an empty directive.
///
/// \param C AST context.
///
static OMPTaskwaitDirective *CreateEmpty(const ASTContext &C, EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPTaskwaitDirectiveClass;
}
};
/// This represents '#pragma omp taskgroup' directive.
///
/// \code
/// #pragma omp taskgroup
/// \endcode
///
class OMPTaskgroupDirective : public OMPExecutableDirective {
friend class ASTStmtReader;
/// Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param NumClauses Number of clauses.
///
OMPTaskgroupDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned NumClauses)
: OMPExecutableDirective(this, OMPTaskgroupDirectiveClass, OMPD_taskgroup,
StartLoc, EndLoc, NumClauses, 2) {}
/// Build an empty directive.
/// \param NumClauses Number of clauses.
///
explicit OMPTaskgroupDirective(unsigned NumClauses)
: OMPExecutableDirective(this, OMPTaskgroupDirectiveClass, OMPD_taskgroup,
SourceLocation(), SourceLocation(), NumClauses,
2) {}
/// Sets the task_reduction return variable.
void setReductionRef(Expr *RR) {
*std::next(child_begin(), 1) = RR;
}
public:
/// Creates directive.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
/// \param ReductionRef Reference to the task_reduction return variable.
///
static OMPTaskgroupDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
ArrayRef<OMPClause *> Clauses, Stmt *AssociatedStmt,
Expr *ReductionRef);
/// Creates an empty directive.
///
/// \param C AST context.
/// \param NumClauses Number of clauses.
///
static OMPTaskgroupDirective *CreateEmpty(const ASTContext &C,
unsigned NumClauses, EmptyShell);
/// Returns reference to the task_reduction return variable.
const Expr *getReductionRef() const {
return static_cast<const Expr *>(*std::next(child_begin(), 1));
}
Expr *getReductionRef() {
return static_cast<Expr *>(*std::next(child_begin(), 1));
}
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPTaskgroupDirectiveClass;
}
};
/// This represents '#pragma omp flush' directive.
///
/// \code
/// #pragma omp flush(a,b)
/// \endcode
/// In this example directive '#pragma omp flush' has 2 arguments- variables 'a'
/// and 'b'.
/// 'omp flush' directive does not have clauses but have an optional list of
/// variables to flush. This list of variables is stored within some fake clause
/// FlushClause.
class OMPFlushDirective : public OMPExecutableDirective {
friend class ASTStmtReader;
/// Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param NumClauses Number of clauses.
///
OMPFlushDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned NumClauses)
: OMPExecutableDirective(this, OMPFlushDirectiveClass, OMPD_flush,
StartLoc, EndLoc, NumClauses, 0) {}
/// Build an empty directive.
///
/// \param NumClauses Number of clauses.
///
explicit OMPFlushDirective(unsigned NumClauses)
: OMPExecutableDirective(this, OMPFlushDirectiveClass, OMPD_flush,
SourceLocation(), SourceLocation(), NumClauses,
0) {}
public:
/// Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param Clauses List of clauses (only single OMPFlushClause clause is
/// allowed).
///
static OMPFlushDirective *Create(const ASTContext &C, SourceLocation StartLoc,
SourceLocation EndLoc,
ArrayRef<OMPClause *> Clauses);
/// Creates an empty directive with the place for \a NumClauses
/// clauses.
///
/// \param C AST context.
/// \param NumClauses Number of clauses.
///
static OMPFlushDirective *CreateEmpty(const ASTContext &C,
unsigned NumClauses, EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPFlushDirectiveClass;
}
};
/// This represents '#pragma omp ordered' directive.
///
/// \code
/// #pragma omp ordered
/// \endcode
///
class OMPOrderedDirective : public OMPExecutableDirective {
friend class ASTStmtReader;
/// Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param NumClauses Number of clauses.
///
OMPOrderedDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned NumClauses)
: OMPExecutableDirective(this, OMPOrderedDirectiveClass, OMPD_ordered,
StartLoc, EndLoc, NumClauses, 1) {}
/// Build an empty directive.
///
/// \param NumClauses Number of clauses.
///
explicit OMPOrderedDirective(unsigned NumClauses)
: OMPExecutableDirective(this, OMPOrderedDirectiveClass, OMPD_ordered,
SourceLocation(), SourceLocation(), NumClauses,
1) {}
public:
/// Creates directive.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
///
static OMPOrderedDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
ArrayRef<OMPClause *> Clauses, Stmt *AssociatedStmt);
/// Creates an empty directive.
///
/// \param C AST context.
/// \param NumClauses Number of clauses.
///
static OMPOrderedDirective *CreateEmpty(const ASTContext &C,
unsigned NumClauses, EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPOrderedDirectiveClass;
}
};
/// This represents '#pragma omp atomic' directive.
///
/// \code
/// #pragma omp atomic capture
/// \endcode
/// In this example directive '#pragma omp atomic' has clause 'capture'.
///
class OMPAtomicDirective : public OMPExecutableDirective {
friend class ASTStmtReader;
/// Used for 'atomic update' or 'atomic capture' constructs. They may
/// have atomic expressions of forms
/// \code
/// x = x binop expr;
/// x = expr binop x;
/// \endcode
/// This field is true for the first form of the expression and false for the
/// second. Required for correct codegen of non-associative operations (like
/// << or >>).
bool IsXLHSInRHSPart;
/// Used for 'atomic update' or 'atomic capture' constructs. They may
/// have atomic expressions of forms
/// \code
/// v = x; <update x>;
/// <update x>; v = x;
/// \endcode
/// This field is true for the first(postfix) form of the expression and false
/// otherwise.
bool IsPostfixUpdate;
/// Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param NumClauses Number of clauses.
///
OMPAtomicDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned NumClauses)
: OMPExecutableDirective(this, OMPAtomicDirectiveClass, OMPD_atomic,
StartLoc, EndLoc, NumClauses, 5),
IsXLHSInRHSPart(false), IsPostfixUpdate(false) {}
/// Build an empty directive.
///
/// \param NumClauses Number of clauses.
///
explicit OMPAtomicDirective(unsigned NumClauses)
: OMPExecutableDirective(this, OMPAtomicDirectiveClass, OMPD_atomic,
SourceLocation(), SourceLocation(), NumClauses,
5),
IsXLHSInRHSPart(false), IsPostfixUpdate(false) {}
/// Set 'x' part of the associated expression/statement.
void setX(Expr *X) { *std::next(child_begin()) = X; }
/// Set helper expression of the form
/// 'OpaqueValueExpr(x) binop OpaqueValueExpr(expr)' or
/// 'OpaqueValueExpr(expr) binop OpaqueValueExpr(x)'.
void setUpdateExpr(Expr *UE) { *std::next(child_begin(), 2) = UE; }
/// Set 'v' part of the associated expression/statement.
void setV(Expr *V) { *std::next(child_begin(), 3) = V; }
/// Set 'expr' part of the associated expression/statement.
void setExpr(Expr *E) { *std::next(child_begin(), 4) = E; }
public:
/// Creates directive with a list of \a Clauses and 'x', 'v' and 'expr'
/// parts of the atomic construct (see Section 2.12.6, atomic Construct, for
/// detailed description of 'x', 'v' and 'expr').
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
/// \param X 'x' part of the associated expression/statement.
/// \param V 'v' part of the associated expression/statement.
/// \param E 'expr' part of the associated expression/statement.
/// \param UE Helper expression of the form
/// 'OpaqueValueExpr(x) binop OpaqueValueExpr(expr)' or
/// 'OpaqueValueExpr(expr) binop OpaqueValueExpr(x)'.
/// \param IsXLHSInRHSPart true if \a UE has the first form and false if the
/// second.
/// \param IsPostfixUpdate true if original value of 'x' must be stored in
/// 'v', not an updated one.
static OMPAtomicDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
ArrayRef<OMPClause *> Clauses, Stmt *AssociatedStmt, Expr *X, Expr *V,
Expr *E, Expr *UE, bool IsXLHSInRHSPart, bool IsPostfixUpdate);
/// Creates an empty directive with the place for \a NumClauses
/// clauses.
///
/// \param C AST context.
/// \param NumClauses Number of clauses.
///
static OMPAtomicDirective *CreateEmpty(const ASTContext &C,
unsigned NumClauses, EmptyShell);
/// Get 'x' part of the associated expression/statement.
Expr *getX() { return cast_or_null<Expr>(*std::next(child_begin())); }
const Expr *getX() const {
return cast_or_null<Expr>(*std::next(child_begin()));
}
/// Get helper expression of the form
/// 'OpaqueValueExpr(x) binop OpaqueValueExpr(expr)' or
/// 'OpaqueValueExpr(expr) binop OpaqueValueExpr(x)'.
Expr *getUpdateExpr() {
return cast_or_null<Expr>(*std::next(child_begin(), 2));
}
const Expr *getUpdateExpr() const {
return cast_or_null<Expr>(*std::next(child_begin(), 2));
}
/// Return true if helper update expression has form
/// 'OpaqueValueExpr(x) binop OpaqueValueExpr(expr)' and false if it has form
/// 'OpaqueValueExpr(expr) binop OpaqueValueExpr(x)'.
bool isXLHSInRHSPart() const { return IsXLHSInRHSPart; }
/// Return true if 'v' expression must be updated to original value of
/// 'x', false if 'v' must be updated to the new value of 'x'.
bool isPostfixUpdate() const { return IsPostfixUpdate; }
/// Get 'v' part of the associated expression/statement.
Expr *getV() { return cast_or_null<Expr>(*std::next(child_begin(), 3)); }
const Expr *getV() const {
return cast_or_null<Expr>(*std::next(child_begin(), 3));
}
/// Get 'expr' part of the associated expression/statement.
Expr *getExpr() { return cast_or_null<Expr>(*std::next(child_begin(), 4)); }
const Expr *getExpr() const {
return cast_or_null<Expr>(*std::next(child_begin(), 4));
}
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPAtomicDirectiveClass;
}
};
/// This represents '#pragma omp target' directive.
///
/// \code
/// #pragma omp target if(a)
/// \endcode
/// In this example directive '#pragma omp target' has clause 'if' with
/// condition 'a'.
///
class OMPTargetDirective : public OMPExecutableDirective {
friend class ASTStmtReader;
/// Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param NumClauses Number of clauses.
///
OMPTargetDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned NumClauses)
: OMPExecutableDirective(this, OMPTargetDirectiveClass, OMPD_target,
StartLoc, EndLoc, NumClauses, 1) {}
/// Build an empty directive.
///
/// \param NumClauses Number of clauses.
///
explicit OMPTargetDirective(unsigned NumClauses)
: OMPExecutableDirective(this, OMPTargetDirectiveClass, OMPD_target,
SourceLocation(), SourceLocation(), NumClauses,
1) {}
public:
/// Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
///
static OMPTargetDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
ArrayRef<OMPClause *> Clauses, Stmt *AssociatedStmt);
/// Creates an empty directive with the place for \a NumClauses
/// clauses.
///
/// \param C AST context.
/// \param NumClauses Number of clauses.
///
static OMPTargetDirective *CreateEmpty(const ASTContext &C,
unsigned NumClauses, EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPTargetDirectiveClass;
}
};
/// This represents '#pragma omp target data' directive.
///
/// \code
/// #pragma omp target data device(0) if(a) map(b[:])
/// \endcode
/// In this example directive '#pragma omp target data' has clauses 'device'
/// with the value '0', 'if' with condition 'a' and 'map' with array
/// section 'b[:]'.
///
class OMPTargetDataDirective : public OMPExecutableDirective {
friend class ASTStmtReader;
/// Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param NumClauses The number of clauses.
///
OMPTargetDataDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned NumClauses)
: OMPExecutableDirective(this, OMPTargetDataDirectiveClass,
OMPD_target_data, StartLoc, EndLoc, NumClauses,
1) {}
/// Build an empty directive.
///
/// \param NumClauses Number of clauses.
///
explicit OMPTargetDataDirective(unsigned NumClauses)
: OMPExecutableDirective(this, OMPTargetDataDirectiveClass,
OMPD_target_data, SourceLocation(),
SourceLocation(), NumClauses, 1) {}
public:
/// Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
///
static OMPTargetDataDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
ArrayRef<OMPClause *> Clauses, Stmt *AssociatedStmt);
/// Creates an empty directive with the place for \a N clauses.
///
/// \param C AST context.
/// \param N The number of clauses.
///
static OMPTargetDataDirective *CreateEmpty(const ASTContext &C, unsigned N,
EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPTargetDataDirectiveClass;
}
};
/// This represents '#pragma omp target enter data' directive.
///
/// \code
/// #pragma omp target enter data device(0) if(a) map(b[:])
/// \endcode
/// In this example directive '#pragma omp target enter data' has clauses
/// 'device' with the value '0', 'if' with condition 'a' and 'map' with array
/// section 'b[:]'.
///
class OMPTargetEnterDataDirective : public OMPExecutableDirective {
friend class ASTStmtReader;
/// Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param NumClauses The number of clauses.
///
OMPTargetEnterDataDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned NumClauses)
: OMPExecutableDirective(this, OMPTargetEnterDataDirectiveClass,
OMPD_target_enter_data, StartLoc, EndLoc,
NumClauses, /*NumChildren=*/1) {}
/// Build an empty directive.
///
/// \param NumClauses Number of clauses.
///
explicit OMPTargetEnterDataDirective(unsigned NumClauses)
: OMPExecutableDirective(this, OMPTargetEnterDataDirectiveClass,
OMPD_target_enter_data, SourceLocation(),
SourceLocation(), NumClauses,
/*NumChildren=*/1) {}
public:
/// Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
///
static OMPTargetEnterDataDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
ArrayRef<OMPClause *> Clauses, Stmt *AssociatedStmt);
/// Creates an empty directive with the place for \a N clauses.
///
/// \param C AST context.
/// \param N The number of clauses.
///
static OMPTargetEnterDataDirective *CreateEmpty(const ASTContext &C,
unsigned N, EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPTargetEnterDataDirectiveClass;
}
};
/// This represents '#pragma omp target exit data' directive.
///
/// \code
/// #pragma omp target exit data device(0) if(a) map(b[:])
/// \endcode
/// In this example directive '#pragma omp target exit data' has clauses
/// 'device' with the value '0', 'if' with condition 'a' and 'map' with array
/// section 'b[:]'.
///
class OMPTargetExitDataDirective : public OMPExecutableDirective {
friend class ASTStmtReader;
/// Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param NumClauses The number of clauses.
///
OMPTargetExitDataDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned NumClauses)
: OMPExecutableDirective(this, OMPTargetExitDataDirectiveClass,
OMPD_target_exit_data, StartLoc, EndLoc,
NumClauses, /*NumChildren=*/1) {}
/// Build an empty directive.
///
/// \param NumClauses Number of clauses.
///
explicit OMPTargetExitDataDirective(unsigned NumClauses)
: OMPExecutableDirective(this, OMPTargetExitDataDirectiveClass,
OMPD_target_exit_data, SourceLocation(),
SourceLocation(), NumClauses,
/*NumChildren=*/1) {}
public:
/// Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
///
static OMPTargetExitDataDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
ArrayRef<OMPClause *> Clauses, Stmt *AssociatedStmt);
/// Creates an empty directive with the place for \a N clauses.
///
/// \param C AST context.
/// \param N The number of clauses.
///
static OMPTargetExitDataDirective *CreateEmpty(const ASTContext &C,
unsigned N, EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPTargetExitDataDirectiveClass;
}
};
/// This represents '#pragma omp target parallel' directive.
///
/// \code
/// #pragma omp target parallel if(a)
/// \endcode
/// In this example directive '#pragma omp target parallel' has clause 'if' with
/// condition 'a'.
///
class OMPTargetParallelDirective : public OMPExecutableDirective {
friend class ASTStmtReader;
/// Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param NumClauses Number of clauses.
///
OMPTargetParallelDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned NumClauses)
: OMPExecutableDirective(this, OMPTargetParallelDirectiveClass,
OMPD_target_parallel, StartLoc, EndLoc,
NumClauses, /*NumChildren=*/1) {}
/// Build an empty directive.
///
/// \param NumClauses Number of clauses.
///
explicit OMPTargetParallelDirective(unsigned NumClauses)
: OMPExecutableDirective(this, OMPTargetParallelDirectiveClass,
OMPD_target_parallel, SourceLocation(),
SourceLocation(), NumClauses,
/*NumChildren=*/1) {}
public:
/// Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
///
static OMPTargetParallelDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
ArrayRef<OMPClause *> Clauses, Stmt *AssociatedStmt);
/// Creates an empty directive with the place for \a NumClauses
/// clauses.
///
/// \param C AST context.
/// \param NumClauses Number of clauses.
///
static OMPTargetParallelDirective *
CreateEmpty(const ASTContext &C, unsigned NumClauses, EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPTargetParallelDirectiveClass;
}
};
/// This represents '#pragma omp target parallel for' directive.
///
/// \code
/// #pragma omp target parallel for private(a,b) reduction(+:c,d)
/// \endcode
/// In this example directive '#pragma omp target parallel for' has clauses
/// 'private' with the variables 'a' and 'b' and 'reduction' with operator '+'
/// and variables 'c' and 'd'.
///
class OMPTargetParallelForDirective : public OMPLoopDirective {
friend class ASTStmtReader;
/// true if current region has inner cancel directive.
bool HasCancel;
/// Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
OMPTargetParallelForDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, unsigned NumClauses)
: OMPLoopDirective(this, OMPTargetParallelForDirectiveClass,
OMPD_target_parallel_for, StartLoc, EndLoc,
CollapsedNum, NumClauses),
HasCancel(false) {}
/// Build an empty directive.
///
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
explicit OMPTargetParallelForDirective(unsigned CollapsedNum,
unsigned NumClauses)
: OMPLoopDirective(this, OMPTargetParallelForDirectiveClass,
OMPD_target_parallel_for, SourceLocation(),
SourceLocation(), CollapsedNum, NumClauses),
HasCancel(false) {}
/// Set cancel state.
void setHasCancel(bool Has) { HasCancel = Has; }
public:
/// Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param CollapsedNum Number of collapsed loops.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
/// \param Exprs Helper expressions for CodeGen.
/// \param HasCancel true if current directive has inner cancel directive.
///
static OMPTargetParallelForDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, ArrayRef<OMPClause *> Clauses,
Stmt *AssociatedStmt, const HelperExprs &Exprs, bool HasCancel);
/// Creates an empty directive with the place
/// for \a NumClauses clauses.
///
/// \param C AST context.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
static OMPTargetParallelForDirective *CreateEmpty(const ASTContext &C,
unsigned NumClauses,
unsigned CollapsedNum,
EmptyShell);
/// Return true if current directive has inner cancel directive.
bool hasCancel() const { return HasCancel; }
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPTargetParallelForDirectiveClass;
}
};
/// This represents '#pragma omp teams' directive.
///
/// \code
/// #pragma omp teams if(a)
/// \endcode
/// In this example directive '#pragma omp teams' has clause 'if' with
/// condition 'a'.
///
class OMPTeamsDirective : public OMPExecutableDirective {
friend class ASTStmtReader;
/// Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param NumClauses Number of clauses.
///
OMPTeamsDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned NumClauses)
: OMPExecutableDirective(this, OMPTeamsDirectiveClass, OMPD_teams,
StartLoc, EndLoc, NumClauses, 1) {}
/// Build an empty directive.
///
/// \param NumClauses Number of clauses.
///
explicit OMPTeamsDirective(unsigned NumClauses)
: OMPExecutableDirective(this, OMPTeamsDirectiveClass, OMPD_teams,
SourceLocation(), SourceLocation(), NumClauses,
1) {}
public:
/// Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
///
static OMPTeamsDirective *Create(const ASTContext &C, SourceLocation StartLoc,
SourceLocation EndLoc,
ArrayRef<OMPClause *> Clauses,
Stmt *AssociatedStmt);
/// Creates an empty directive with the place for \a NumClauses
/// clauses.
///
/// \param C AST context.
/// \param NumClauses Number of clauses.
///
static OMPTeamsDirective *CreateEmpty(const ASTContext &C,
unsigned NumClauses, EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPTeamsDirectiveClass;
}
};
/// This represents '#pragma omp cancellation point' directive.
///
/// \code
/// #pragma omp cancellation point for
/// \endcode
///
/// In this example a cancellation point is created for innermost 'for' region.
class OMPCancellationPointDirective : public OMPExecutableDirective {
friend class ASTStmtReader;
OpenMPDirectiveKind CancelRegion;
/// Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
///
OMPCancellationPointDirective(SourceLocation StartLoc, SourceLocation EndLoc)
: OMPExecutableDirective(this, OMPCancellationPointDirectiveClass,
OMPD_cancellation_point, StartLoc, EndLoc, 0, 0),
CancelRegion(OMPD_unknown) {}
/// Build an empty directive.
///
explicit OMPCancellationPointDirective()
: OMPExecutableDirective(this, OMPCancellationPointDirectiveClass,
OMPD_cancellation_point, SourceLocation(),
SourceLocation(), 0, 0),
CancelRegion(OMPD_unknown) {}
/// Set cancel region for current cancellation point.
/// \param CR Cancellation region.
void setCancelRegion(OpenMPDirectiveKind CR) { CancelRegion = CR; }
public:
/// Creates directive.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
///
static OMPCancellationPointDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
OpenMPDirectiveKind CancelRegion);
/// Creates an empty directive.
///
/// \param C AST context.
///
static OMPCancellationPointDirective *CreateEmpty(const ASTContext &C,
EmptyShell);
/// Get cancellation region for the current cancellation point.
OpenMPDirectiveKind getCancelRegion() const { return CancelRegion; }
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPCancellationPointDirectiveClass;
}
};
/// This represents '#pragma omp cancel' directive.
///
/// \code
/// #pragma omp cancel for
/// \endcode
///
/// In this example a cancel is created for innermost 'for' region.
class OMPCancelDirective : public OMPExecutableDirective {
friend class ASTStmtReader;
OpenMPDirectiveKind CancelRegion;
/// Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param NumClauses Number of clauses.
///
OMPCancelDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned NumClauses)
: OMPExecutableDirective(this, OMPCancelDirectiveClass, OMPD_cancel,
StartLoc, EndLoc, NumClauses, 0),
CancelRegion(OMPD_unknown) {}
/// Build an empty directive.
///
/// \param NumClauses Number of clauses.
explicit OMPCancelDirective(unsigned NumClauses)
: OMPExecutableDirective(this, OMPCancelDirectiveClass, OMPD_cancel,
SourceLocation(), SourceLocation(), NumClauses,
0),
CancelRegion(OMPD_unknown) {}
/// Set cancel region for current cancellation point.
/// \param CR Cancellation region.
void setCancelRegion(OpenMPDirectiveKind CR) { CancelRegion = CR; }
public:
/// Creates directive.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param Clauses List of clauses.
///
static OMPCancelDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
ArrayRef<OMPClause *> Clauses, OpenMPDirectiveKind CancelRegion);
/// Creates an empty directive.
///
/// \param C AST context.
/// \param NumClauses Number of clauses.
///
static OMPCancelDirective *CreateEmpty(const ASTContext &C,
unsigned NumClauses, EmptyShell);
/// Get cancellation region for the current cancellation point.
OpenMPDirectiveKind getCancelRegion() const { return CancelRegion; }
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPCancelDirectiveClass;
}
};
/// This represents '#pragma omp taskloop' directive.
///
/// \code
/// #pragma omp taskloop private(a,b) grainsize(val) num_tasks(num)
/// \endcode
/// In this example directive '#pragma omp taskloop' has clauses 'private'
/// with the variables 'a' and 'b', 'grainsize' with expression 'val' and
/// 'num_tasks' with expression 'num'.
///
class OMPTaskLoopDirective : public OMPLoopDirective {
friend class ASTStmtReader;
/// Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
OMPTaskLoopDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, unsigned NumClauses)
: OMPLoopDirective(this, OMPTaskLoopDirectiveClass, OMPD_taskloop,
StartLoc, EndLoc, CollapsedNum, NumClauses) {}
/// Build an empty directive.
///
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
explicit OMPTaskLoopDirective(unsigned CollapsedNum, unsigned NumClauses)
: OMPLoopDirective(this, OMPTaskLoopDirectiveClass, OMPD_taskloop,
SourceLocation(), SourceLocation(), CollapsedNum,
NumClauses) {}
public:
/// Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param CollapsedNum Number of collapsed loops.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
/// \param Exprs Helper expressions for CodeGen.
///
static OMPTaskLoopDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, ArrayRef<OMPClause *> Clauses,
Stmt *AssociatedStmt, const HelperExprs &Exprs);
/// Creates an empty directive with the place
/// for \a NumClauses clauses.
///
/// \param C AST context.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
static OMPTaskLoopDirective *CreateEmpty(const ASTContext &C,
unsigned NumClauses,
unsigned CollapsedNum, EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPTaskLoopDirectiveClass;
}
};
/// This represents '#pragma omp taskloop simd' directive.
///
/// \code
/// #pragma omp taskloop simd private(a,b) grainsize(val) num_tasks(num)
/// \endcode
/// In this example directive '#pragma omp taskloop simd' has clauses 'private'
/// with the variables 'a' and 'b', 'grainsize' with expression 'val' and
/// 'num_tasks' with expression 'num'.
///
class OMPTaskLoopSimdDirective : public OMPLoopDirective {
friend class ASTStmtReader;
/// Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
OMPTaskLoopSimdDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, unsigned NumClauses)
: OMPLoopDirective(this, OMPTaskLoopSimdDirectiveClass,
OMPD_taskloop_simd, StartLoc, EndLoc, CollapsedNum,
NumClauses) {}
/// Build an empty directive.
///
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
explicit OMPTaskLoopSimdDirective(unsigned CollapsedNum, unsigned NumClauses)
: OMPLoopDirective(this, OMPTaskLoopSimdDirectiveClass,
OMPD_taskloop_simd, SourceLocation(), SourceLocation(),
CollapsedNum, NumClauses) {}
public:
/// Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param CollapsedNum Number of collapsed loops.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
/// \param Exprs Helper expressions for CodeGen.
///
static OMPTaskLoopSimdDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, ArrayRef<OMPClause *> Clauses,
Stmt *AssociatedStmt, const HelperExprs &Exprs);
/// Creates an empty directive with the place
/// for \a NumClauses clauses.
///
/// \param C AST context.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
static OMPTaskLoopSimdDirective *CreateEmpty(const ASTContext &C,
unsigned NumClauses,
unsigned CollapsedNum,
EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPTaskLoopSimdDirectiveClass;
}
};
/// This represents '#pragma omp distribute' directive.
///
/// \code
/// #pragma omp distribute private(a,b)
/// \endcode
/// In this example directive '#pragma omp distribute' has clauses 'private'
/// with the variables 'a' and 'b'
///
class OMPDistributeDirective : public OMPLoopDirective {
friend class ASTStmtReader;
/// Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
OMPDistributeDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, unsigned NumClauses)
: OMPLoopDirective(this, OMPDistributeDirectiveClass, OMPD_distribute,
StartLoc, EndLoc, CollapsedNum, NumClauses)
{}
/// Build an empty directive.
///
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
explicit OMPDistributeDirective(unsigned CollapsedNum, unsigned NumClauses)
: OMPLoopDirective(this, OMPDistributeDirectiveClass, OMPD_distribute,
SourceLocation(), SourceLocation(), CollapsedNum,
NumClauses)
{}
public:
/// Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param CollapsedNum Number of collapsed loops.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
/// \param Exprs Helper expressions for CodeGen.
///
static OMPDistributeDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, ArrayRef<OMPClause *> Clauses,
Stmt *AssociatedStmt, const HelperExprs &Exprs);
/// Creates an empty directive with the place
/// for \a NumClauses clauses.
///
/// \param C AST context.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
static OMPDistributeDirective *CreateEmpty(const ASTContext &C,
unsigned NumClauses,
unsigned CollapsedNum, EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPDistributeDirectiveClass;
}
};
/// This represents '#pragma omp target update' directive.
///
/// \code
/// #pragma omp target update to(a) from(b) device(1)
/// \endcode
/// In this example directive '#pragma omp target update' has clause 'to' with
/// argument 'a', clause 'from' with argument 'b' and clause 'device' with
/// argument '1'.
///
class OMPTargetUpdateDirective : public OMPExecutableDirective {
friend class ASTStmtReader;
/// Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param NumClauses The number of clauses.
///
OMPTargetUpdateDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned NumClauses)
: OMPExecutableDirective(this, OMPTargetUpdateDirectiveClass,
OMPD_target_update, StartLoc, EndLoc, NumClauses,
1) {}
/// Build an empty directive.
///
/// \param NumClauses Number of clauses.
///
explicit OMPTargetUpdateDirective(unsigned NumClauses)
: OMPExecutableDirective(this, OMPTargetUpdateDirectiveClass,
OMPD_target_update, SourceLocation(),
SourceLocation(), NumClauses, 1) {}
public:
/// Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
///
static OMPTargetUpdateDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
ArrayRef<OMPClause *> Clauses, Stmt *AssociatedStmt);
/// Creates an empty directive with the place for \a NumClauses
/// clauses.
///
/// \param C AST context.
/// \param NumClauses The number of clauses.
///
static OMPTargetUpdateDirective *CreateEmpty(const ASTContext &C,
unsigned NumClauses, EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPTargetUpdateDirectiveClass;
}
};
/// This represents '#pragma omp distribute parallel for' composite
/// directive.
///
/// \code
/// #pragma omp distribute parallel for private(a,b)
/// \endcode
/// In this example directive '#pragma omp distribute parallel for' has clause
/// 'private' with the variables 'a' and 'b'
///
class OMPDistributeParallelForDirective : public OMPLoopDirective {
friend class ASTStmtReader;
/// true if the construct has inner cancel directive.
bool HasCancel = false;
/// Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
OMPDistributeParallelForDirective(SourceLocation StartLoc,
SourceLocation EndLoc,
unsigned CollapsedNum, unsigned NumClauses)
: OMPLoopDirective(this, OMPDistributeParallelForDirectiveClass,
OMPD_distribute_parallel_for, StartLoc, EndLoc,
CollapsedNum, NumClauses), HasCancel(false) {}
/// Build an empty directive.
///
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
explicit OMPDistributeParallelForDirective(unsigned CollapsedNum,
unsigned NumClauses)
: OMPLoopDirective(this, OMPDistributeParallelForDirectiveClass,
OMPD_distribute_parallel_for, SourceLocation(),
SourceLocation(), CollapsedNum, NumClauses),
HasCancel(false) {}
/// Set cancel state.
void setHasCancel(bool Has) { HasCancel = Has; }
public:
/// Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param CollapsedNum Number of collapsed loops.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
/// \param Exprs Helper expressions for CodeGen.
/// \param HasCancel true if this directive has inner cancel directive.
///
static OMPDistributeParallelForDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, ArrayRef<OMPClause *> Clauses,
Stmt *AssociatedStmt, const HelperExprs &Exprs, bool HasCancel);
/// Creates an empty directive with the place
/// for \a NumClauses clauses.
///
/// \param C AST context.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
static OMPDistributeParallelForDirective *CreateEmpty(const ASTContext &C,
unsigned NumClauses,
unsigned CollapsedNum,
EmptyShell);
/// Return true if current directive has inner cancel directive.
bool hasCancel() const { return HasCancel; }
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPDistributeParallelForDirectiveClass;
}
};
/// This represents '#pragma omp distribute parallel for simd' composite
/// directive.
///
/// \code
/// #pragma omp distribute parallel for simd private(x)
/// \endcode
/// In this example directive '#pragma omp distribute parallel for simd' has
/// clause 'private' with the variables 'x'
///
class OMPDistributeParallelForSimdDirective final : public OMPLoopDirective {
friend class ASTStmtReader;
/// Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
OMPDistributeParallelForSimdDirective(SourceLocation StartLoc,
SourceLocation EndLoc,
unsigned CollapsedNum,
unsigned NumClauses)
: OMPLoopDirective(this, OMPDistributeParallelForSimdDirectiveClass,
OMPD_distribute_parallel_for_simd, StartLoc,
EndLoc, CollapsedNum, NumClauses) {}
/// Build an empty directive.
///
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
explicit OMPDistributeParallelForSimdDirective(unsigned CollapsedNum,
unsigned NumClauses)
: OMPLoopDirective(this, OMPDistributeParallelForSimdDirectiveClass,
OMPD_distribute_parallel_for_simd,
SourceLocation(), SourceLocation(), CollapsedNum,
NumClauses) {}
public:
/// Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param CollapsedNum Number of collapsed loops.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
/// \param Exprs Helper expressions for CodeGen.
///
static OMPDistributeParallelForSimdDirective *Create(
const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, ArrayRef<OMPClause *> Clauses,
Stmt *AssociatedStmt, const HelperExprs &Exprs);
/// Creates an empty directive with the place for \a NumClauses clauses.
///
/// \param C AST context.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
static OMPDistributeParallelForSimdDirective *CreateEmpty(
const ASTContext &C, unsigned NumClauses, unsigned CollapsedNum,
EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPDistributeParallelForSimdDirectiveClass;
}
};
/// This represents '#pragma omp distribute simd' composite directive.
///
/// \code
/// #pragma omp distribute simd private(x)
/// \endcode
/// In this example directive '#pragma omp distribute simd' has clause
/// 'private' with the variables 'x'
///
class OMPDistributeSimdDirective final : public OMPLoopDirective {
friend class ASTStmtReader;
/// Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
OMPDistributeSimdDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, unsigned NumClauses)
: OMPLoopDirective(this, OMPDistributeSimdDirectiveClass,
OMPD_distribute_simd, StartLoc, EndLoc, CollapsedNum,
NumClauses) {}
/// Build an empty directive.
///
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
explicit OMPDistributeSimdDirective(unsigned CollapsedNum,
unsigned NumClauses)
: OMPLoopDirective(this, OMPDistributeSimdDirectiveClass,
OMPD_distribute_simd, SourceLocation(),
SourceLocation(), CollapsedNum, NumClauses) {}
public:
/// Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param CollapsedNum Number of collapsed loops.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
/// \param Exprs Helper expressions for CodeGen.
///
static OMPDistributeSimdDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, ArrayRef<OMPClause *> Clauses,
Stmt *AssociatedStmt, const HelperExprs &Exprs);
/// Creates an empty directive with the place for \a NumClauses clauses.
///
/// \param C AST context.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
static OMPDistributeSimdDirective *CreateEmpty(const ASTContext &C,
unsigned NumClauses,
unsigned CollapsedNum,
EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPDistributeSimdDirectiveClass;
}
};
/// This represents '#pragma omp target parallel for simd' directive.
///
/// \code
/// #pragma omp target parallel for simd private(a) map(b) safelen(c)
/// \endcode
/// In this example directive '#pragma omp target parallel for simd' has clauses
/// 'private' with the variable 'a', 'map' with the variable 'b' and 'safelen'
/// with the variable 'c'.
///
class OMPTargetParallelForSimdDirective final : public OMPLoopDirective {
friend class ASTStmtReader;
/// Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
OMPTargetParallelForSimdDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, unsigned NumClauses)
: OMPLoopDirective(this, OMPTargetParallelForSimdDirectiveClass,
OMPD_target_parallel_for_simd, StartLoc, EndLoc,
CollapsedNum, NumClauses) {}
/// Build an empty directive.
///
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
explicit OMPTargetParallelForSimdDirective(unsigned CollapsedNum,
unsigned NumClauses)
: OMPLoopDirective(this, OMPTargetParallelForSimdDirectiveClass,
OMPD_target_parallel_for_simd, SourceLocation(),
SourceLocation(), CollapsedNum, NumClauses) {}
public:
/// Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param CollapsedNum Number of collapsed loops.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
/// \param Exprs Helper expressions for CodeGen.
///
static OMPTargetParallelForSimdDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, ArrayRef<OMPClause *> Clauses,
Stmt *AssociatedStmt, const HelperExprs &Exprs);
/// Creates an empty directive with the place for \a NumClauses clauses.
///
/// \param C AST context.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
static OMPTargetParallelForSimdDirective *CreateEmpty(const ASTContext &C,
unsigned NumClauses,
unsigned CollapsedNum,
EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPTargetParallelForSimdDirectiveClass;
}
};
/// This represents '#pragma omp target simd' directive.
///
/// \code
/// #pragma omp target simd private(a) map(b) safelen(c)
/// \endcode
/// In this example directive '#pragma omp target simd' has clauses 'private'
/// with the variable 'a', 'map' with the variable 'b' and 'safelen' with
/// the variable 'c'.
///
class OMPTargetSimdDirective final : public OMPLoopDirective {
friend class ASTStmtReader;
/// Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
OMPTargetSimdDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, unsigned NumClauses)
: OMPLoopDirective(this, OMPTargetSimdDirectiveClass,
OMPD_target_simd, StartLoc, EndLoc, CollapsedNum,
NumClauses) {}
/// Build an empty directive.
///
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
explicit OMPTargetSimdDirective(unsigned CollapsedNum, unsigned NumClauses)
: OMPLoopDirective(this, OMPTargetSimdDirectiveClass, OMPD_target_simd,
SourceLocation(),SourceLocation(), CollapsedNum,
NumClauses) {}
public:
/// Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param CollapsedNum Number of collapsed loops.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
/// \param Exprs Helper expressions for CodeGen.
///
static OMPTargetSimdDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, ArrayRef<OMPClause *> Clauses,
Stmt *AssociatedStmt, const HelperExprs &Exprs);
/// Creates an empty directive with the place for \a NumClauses clauses.
///
/// \param C AST context.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
static OMPTargetSimdDirective *CreateEmpty(const ASTContext &C,
unsigned NumClauses,
unsigned CollapsedNum,
EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPTargetSimdDirectiveClass;
}
};
/// This represents '#pragma omp teams distribute' directive.
///
/// \code
/// #pragma omp teams distribute private(a,b)
/// \endcode
/// In this example directive '#pragma omp teams distribute' has clauses
/// 'private' with the variables 'a' and 'b'
///
class OMPTeamsDistributeDirective final : public OMPLoopDirective {
friend class ASTStmtReader;
/// Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
OMPTeamsDistributeDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, unsigned NumClauses)
: OMPLoopDirective(this, OMPTeamsDistributeDirectiveClass,
OMPD_teams_distribute, StartLoc, EndLoc,
CollapsedNum, NumClauses) {}
/// Build an empty directive.
///
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
explicit OMPTeamsDistributeDirective(unsigned CollapsedNum,
unsigned NumClauses)
: OMPLoopDirective(this, OMPTeamsDistributeDirectiveClass,
OMPD_teams_distribute, SourceLocation(),
SourceLocation(), CollapsedNum, NumClauses) {}
public:
/// Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param CollapsedNum Number of collapsed loops.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
/// \param Exprs Helper expressions for CodeGen.
///
static OMPTeamsDistributeDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, ArrayRef<OMPClause *> Clauses,
Stmt *AssociatedStmt, const HelperExprs &Exprs);
/// Creates an empty directive with the place for \a NumClauses clauses.
///
/// \param C AST context.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
static OMPTeamsDistributeDirective *CreateEmpty(const ASTContext &C,
unsigned NumClauses,
unsigned CollapsedNum,
EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPTeamsDistributeDirectiveClass;
}
};
/// This represents '#pragma omp teams distribute simd'
/// combined directive.
///
/// \code
/// #pragma omp teams distribute simd private(a,b)
/// \endcode
/// In this example directive '#pragma omp teams distribute simd'
/// has clause 'private' with the variables 'a' and 'b'
///
class OMPTeamsDistributeSimdDirective final : public OMPLoopDirective {
friend class ASTStmtReader;
/// Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
OMPTeamsDistributeSimdDirective(SourceLocation StartLoc,
SourceLocation EndLoc, unsigned CollapsedNum,
unsigned NumClauses)
: OMPLoopDirective(this, OMPTeamsDistributeSimdDirectiveClass,
OMPD_teams_distribute_simd, StartLoc, EndLoc,
CollapsedNum, NumClauses) {}
/// Build an empty directive.
///
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
explicit OMPTeamsDistributeSimdDirective(unsigned CollapsedNum,
unsigned NumClauses)
: OMPLoopDirective(this, OMPTeamsDistributeSimdDirectiveClass,
OMPD_teams_distribute_simd, SourceLocation(),
SourceLocation(), CollapsedNum, NumClauses) {}
public:
/// Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param CollapsedNum Number of collapsed loops.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
/// \param Exprs Helper expressions for CodeGen.
///
static OMPTeamsDistributeSimdDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, ArrayRef<OMPClause *> Clauses,
Stmt *AssociatedStmt, const HelperExprs &Exprs);
/// Creates an empty directive with the place
/// for \a NumClauses clauses.
///
/// \param C AST context.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
static OMPTeamsDistributeSimdDirective *CreateEmpty(const ASTContext &C,
unsigned NumClauses,
unsigned CollapsedNum,
EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPTeamsDistributeSimdDirectiveClass;
}
};
/// This represents '#pragma omp teams distribute parallel for simd' composite
/// directive.
///
/// \code
/// #pragma omp teams distribute parallel for simd private(x)
/// \endcode
/// In this example directive '#pragma omp teams distribute parallel for simd'
/// has clause 'private' with the variables 'x'
///
class OMPTeamsDistributeParallelForSimdDirective final
: public OMPLoopDirective {
friend class ASTStmtReader;
/// Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
OMPTeamsDistributeParallelForSimdDirective(SourceLocation StartLoc,
SourceLocation EndLoc,
unsigned CollapsedNum,
unsigned NumClauses)
: OMPLoopDirective(this, OMPTeamsDistributeParallelForSimdDirectiveClass,
OMPD_teams_distribute_parallel_for_simd, StartLoc,
EndLoc, CollapsedNum, NumClauses) {}
/// Build an empty directive.
///
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
explicit OMPTeamsDistributeParallelForSimdDirective(unsigned CollapsedNum,
unsigned NumClauses)
: OMPLoopDirective(this, OMPTeamsDistributeParallelForSimdDirectiveClass,
OMPD_teams_distribute_parallel_for_simd,
SourceLocation(), SourceLocation(), CollapsedNum,
NumClauses) {}
public:
/// Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param CollapsedNum Number of collapsed loops.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
/// \param Exprs Helper expressions for CodeGen.
///
static OMPTeamsDistributeParallelForSimdDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, ArrayRef<OMPClause *> Clauses,
Stmt *AssociatedStmt, const HelperExprs &Exprs);
/// Creates an empty directive with the place for \a NumClauses clauses.
///
/// \param C AST context.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
static OMPTeamsDistributeParallelForSimdDirective *
CreateEmpty(const ASTContext &C, unsigned NumClauses, unsigned CollapsedNum,
EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPTeamsDistributeParallelForSimdDirectiveClass;
}
};
/// This represents '#pragma omp teams distribute parallel for' composite
/// directive.
///
/// \code
/// #pragma omp teams distribute parallel for private(x)
/// \endcode
/// In this example directive '#pragma omp teams distribute parallel for'
/// has clause 'private' with the variables 'x'
///
class OMPTeamsDistributeParallelForDirective final : public OMPLoopDirective {
friend class ASTStmtReader;
/// true if the construct has inner cancel directive.
bool HasCancel = false;
/// Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
OMPTeamsDistributeParallelForDirective(SourceLocation StartLoc,
SourceLocation EndLoc,
unsigned CollapsedNum,
unsigned NumClauses)
: OMPLoopDirective(this, OMPTeamsDistributeParallelForDirectiveClass,
OMPD_teams_distribute_parallel_for, StartLoc, EndLoc,
CollapsedNum, NumClauses), HasCancel(false) {}
/// Build an empty directive.
///
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
explicit OMPTeamsDistributeParallelForDirective(unsigned CollapsedNum,
unsigned NumClauses)
: OMPLoopDirective(this, OMPTeamsDistributeParallelForDirectiveClass,
OMPD_teams_distribute_parallel_for, SourceLocation(),
SourceLocation(), CollapsedNum, NumClauses),
HasCancel(false) {}
/// Set cancel state.
void setHasCancel(bool Has) { HasCancel = Has; }
public:
/// Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param CollapsedNum Number of collapsed loops.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
/// \param Exprs Helper expressions for CodeGen.
/// \param HasCancel true if this directive has inner cancel directive.
///
static OMPTeamsDistributeParallelForDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, ArrayRef<OMPClause *> Clauses,
Stmt *AssociatedStmt, const HelperExprs &Exprs, bool HasCancel);
/// Creates an empty directive with the place for \a NumClauses clauses.
///
/// \param C AST context.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
static OMPTeamsDistributeParallelForDirective *
CreateEmpty(const ASTContext &C, unsigned NumClauses, unsigned CollapsedNum,
EmptyShell);
/// Return true if current directive has inner cancel directive.
bool hasCancel() const { return HasCancel; }
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPTeamsDistributeParallelForDirectiveClass;
}
};
/// This represents '#pragma omp target teams' directive.
///
/// \code
/// #pragma omp target teams if(a>0)
/// \endcode
/// In this example directive '#pragma omp target teams' has clause 'if' with
/// condition 'a>0'.
///
class OMPTargetTeamsDirective final : public OMPExecutableDirective {
friend class ASTStmtReader;
/// Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param NumClauses Number of clauses.
///
OMPTargetTeamsDirective(SourceLocation StartLoc, SourceLocation EndLoc,
unsigned NumClauses)
: OMPExecutableDirective(this, OMPTargetTeamsDirectiveClass,
OMPD_target_teams, StartLoc, EndLoc, NumClauses,
1) {}
/// Build an empty directive.
///
/// \param NumClauses Number of clauses.
///
explicit OMPTargetTeamsDirective(unsigned NumClauses)
: OMPExecutableDirective(this, OMPTargetTeamsDirectiveClass,
OMPD_target_teams, SourceLocation(),
SourceLocation(), NumClauses, 1) {}
public:
/// Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
///
static OMPTargetTeamsDirective *Create(const ASTContext &C,
SourceLocation StartLoc,
SourceLocation EndLoc,
ArrayRef<OMPClause *> Clauses,
Stmt *AssociatedStmt);
/// Creates an empty directive with the place for \a NumClauses clauses.
///
/// \param C AST context.
/// \param NumClauses Number of clauses.
///
static OMPTargetTeamsDirective *CreateEmpty(const ASTContext &C,
unsigned NumClauses, EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPTargetTeamsDirectiveClass;
}
};
/// This represents '#pragma omp target teams distribute' combined directive.
///
/// \code
/// #pragma omp target teams distribute private(x)
/// \endcode
/// In this example directive '#pragma omp target teams distribute' has clause
/// 'private' with the variables 'x'
///
class OMPTargetTeamsDistributeDirective final : public OMPLoopDirective {
friend class ASTStmtReader;
/// Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
OMPTargetTeamsDistributeDirective(SourceLocation StartLoc,
SourceLocation EndLoc,
unsigned CollapsedNum, unsigned NumClauses)
: OMPLoopDirective(this, OMPTargetTeamsDistributeDirectiveClass,
OMPD_target_teams_distribute, StartLoc, EndLoc,
CollapsedNum, NumClauses) {}
/// Build an empty directive.
///
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
explicit OMPTargetTeamsDistributeDirective(unsigned CollapsedNum,
unsigned NumClauses)
: OMPLoopDirective(this, OMPTargetTeamsDistributeDirectiveClass,
OMPD_target_teams_distribute, SourceLocation(),
SourceLocation(), CollapsedNum, NumClauses) {}
public:
/// Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param CollapsedNum Number of collapsed loops.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
/// \param Exprs Helper expressions for CodeGen.
///
static OMPTargetTeamsDistributeDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, ArrayRef<OMPClause *> Clauses,
Stmt *AssociatedStmt, const HelperExprs &Exprs);
/// Creates an empty directive with the place for \a NumClauses clauses.
///
/// \param C AST context.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
static OMPTargetTeamsDistributeDirective *
CreateEmpty(const ASTContext &C, unsigned NumClauses, unsigned CollapsedNum,
EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPTargetTeamsDistributeDirectiveClass;
}
};
/// This represents '#pragma omp target teams distribute parallel for' combined
/// directive.
///
/// \code
/// #pragma omp target teams distribute parallel for private(x)
/// \endcode
/// In this example directive '#pragma omp target teams distribute parallel
/// for' has clause 'private' with the variables 'x'
///
class OMPTargetTeamsDistributeParallelForDirective final
: public OMPLoopDirective {
friend class ASTStmtReader;
/// true if the construct has inner cancel directive.
bool HasCancel = false;
/// Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
OMPTargetTeamsDistributeParallelForDirective(SourceLocation StartLoc,
SourceLocation EndLoc,
unsigned CollapsedNum,
unsigned NumClauses)
: OMPLoopDirective(this,
OMPTargetTeamsDistributeParallelForDirectiveClass,
OMPD_target_teams_distribute_parallel_for, StartLoc,
EndLoc, CollapsedNum, NumClauses),
HasCancel(false) {}
/// Build an empty directive.
///
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
explicit OMPTargetTeamsDistributeParallelForDirective(unsigned CollapsedNum,
unsigned NumClauses)
: OMPLoopDirective(
this, OMPTargetTeamsDistributeParallelForDirectiveClass,
OMPD_target_teams_distribute_parallel_for, SourceLocation(),
SourceLocation(), CollapsedNum, NumClauses),
HasCancel(false) {}
/// Set cancel state.
void setHasCancel(bool Has) { HasCancel = Has; }
public:
/// Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param CollapsedNum Number of collapsed loops.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
/// \param Exprs Helper expressions for CodeGen.
/// \param HasCancel true if this directive has inner cancel directive.
///
static OMPTargetTeamsDistributeParallelForDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, ArrayRef<OMPClause *> Clauses,
Stmt *AssociatedStmt, const HelperExprs &Exprs, bool HasCancel);
/// Creates an empty directive with the place for \a NumClauses clauses.
///
/// \param C AST context.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
static OMPTargetTeamsDistributeParallelForDirective *
CreateEmpty(const ASTContext &C, unsigned NumClauses, unsigned CollapsedNum,
EmptyShell);
/// Return true if current directive has inner cancel directive.
bool hasCancel() const { return HasCancel; }
static bool classof(const Stmt *T) {
return T->getStmtClass() ==
OMPTargetTeamsDistributeParallelForDirectiveClass;
}
};
/// This represents '#pragma omp target teams distribute parallel for simd'
/// combined directive.
///
/// \code
/// #pragma omp target teams distribute parallel for simd private(x)
/// \endcode
/// In this example directive '#pragma omp target teams distribute parallel
/// for simd' has clause 'private' with the variables 'x'
///
class OMPTargetTeamsDistributeParallelForSimdDirective final
: public OMPLoopDirective {
friend class ASTStmtReader;
/// Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
OMPTargetTeamsDistributeParallelForSimdDirective(SourceLocation StartLoc,
SourceLocation EndLoc,
unsigned CollapsedNum,
unsigned NumClauses)
: OMPLoopDirective(this,
OMPTargetTeamsDistributeParallelForSimdDirectiveClass,
OMPD_target_teams_distribute_parallel_for_simd,
StartLoc, EndLoc, CollapsedNum, NumClauses) {}
/// Build an empty directive.
///
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
explicit OMPTargetTeamsDistributeParallelForSimdDirective(
unsigned CollapsedNum, unsigned NumClauses)
: OMPLoopDirective(
this, OMPTargetTeamsDistributeParallelForSimdDirectiveClass,
OMPD_target_teams_distribute_parallel_for_simd, SourceLocation(),
SourceLocation(), CollapsedNum, NumClauses) {}
public:
/// Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param CollapsedNum Number of collapsed loops.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
/// \param Exprs Helper expressions for CodeGen.
///
static OMPTargetTeamsDistributeParallelForSimdDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, ArrayRef<OMPClause *> Clauses,
Stmt *AssociatedStmt, const HelperExprs &Exprs);
/// Creates an empty directive with the place for \a NumClauses clauses.
///
/// \param C AST context.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
static OMPTargetTeamsDistributeParallelForSimdDirective *
CreateEmpty(const ASTContext &C, unsigned NumClauses, unsigned CollapsedNum,
EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() ==
OMPTargetTeamsDistributeParallelForSimdDirectiveClass;
}
};
/// This represents '#pragma omp target teams distribute simd' combined
/// directive.
///
/// \code
/// #pragma omp target teams distribute simd private(x)
/// \endcode
/// In this example directive '#pragma omp target teams distribute simd'
/// has clause 'private' with the variables 'x'
///
class OMPTargetTeamsDistributeSimdDirective final : public OMPLoopDirective {
friend class ASTStmtReader;
/// Build directive with the given start and end location.
///
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending location of the directive.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
OMPTargetTeamsDistributeSimdDirective(SourceLocation StartLoc,
SourceLocation EndLoc,
unsigned CollapsedNum,
unsigned NumClauses)
: OMPLoopDirective(this, OMPTargetTeamsDistributeSimdDirectiveClass,
OMPD_target_teams_distribute_simd, StartLoc, EndLoc,
CollapsedNum, NumClauses) {}
/// Build an empty directive.
///
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
explicit OMPTargetTeamsDistributeSimdDirective(unsigned CollapsedNum,
unsigned NumClauses)
: OMPLoopDirective(this, OMPTargetTeamsDistributeSimdDirectiveClass,
OMPD_target_teams_distribute_simd, SourceLocation(),
SourceLocation(), CollapsedNum, NumClauses) {}
public:
/// Creates directive with a list of \a Clauses.
///
/// \param C AST context.
/// \param StartLoc Starting location of the directive kind.
/// \param EndLoc Ending Location of the directive.
/// \param CollapsedNum Number of collapsed loops.
/// \param Clauses List of clauses.
/// \param AssociatedStmt Statement, associated with the directive.
/// \param Exprs Helper expressions for CodeGen.
///
static OMPTargetTeamsDistributeSimdDirective *
Create(const ASTContext &C, SourceLocation StartLoc, SourceLocation EndLoc,
unsigned CollapsedNum, ArrayRef<OMPClause *> Clauses,
Stmt *AssociatedStmt, const HelperExprs &Exprs);
/// Creates an empty directive with the place for \a NumClauses clauses.
///
/// \param C AST context.
/// \param CollapsedNum Number of collapsed nested loops.
/// \param NumClauses Number of clauses.
///
static OMPTargetTeamsDistributeSimdDirective *
CreateEmpty(const ASTContext &C, unsigned NumClauses, unsigned CollapsedNum,
EmptyShell);
static bool classof(const Stmt *T) {
return T->getStmtClass() == OMPTargetTeamsDistributeSimdDirectiveClass;
}
};
} // end namespace clang
#endif
|
opencl_krb5_asrep_aes_fmt_plug.c | /*
* JtR format to crack "AS-REP" messages.
*
* This software is Copyright (c) 2012 Dhiru Kholia (dhiru at openwall.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.
*
* This file is based on krb5_asrep_fmt_plug.c and opencl_krb5pa-sha1_fmt_plug.c
* files.
*/
#ifdef HAVE_OPENCL
#if FMT_EXTERNS_H
extern struct fmt_main fmt_opencl_krb5_asrep_aes;
#elif FMT_REGISTERS_H
john_register_one(&fmt_opencl_krb5_asrep_aes);
#else
#include "arch.h"
#include "misc.h"
#include "formats.h"
#include "options.h"
#include "common.h"
#include "unicode.h"
#include "config.h"
#include "aes.h"
#include "krb5_common.h"
#include "krb5_asrep_common.h"
#include "common-opencl.h"
#define OUTLEN 32
#include "opencl_pbkdf2_hmac_sha1.h"
#include "hmac_sha.h"
#include "memdbg.h"
#define FORMAT_LABEL "krb5asrep-aes-opencl"
#define FORMAT_NAME "Kerberos 5 AS-REP etype 17/18"
#define ALGORITHM_NAME "PBKDF2-SHA1 OpenCL"
#define BENCHMARK_COMMENT ""
#define BENCHMARK_LENGTH -1001
#define BINARY_SIZE 0
#define BINARY_ALIGN 1
#define SALT_SIZE sizeof(struct custom_salt *)
#define SALT_ALIGN sizeof(struct custom_salt *)
#define MIN_KEYS_PER_CRYPT 1
#define MAX_KEYS_PER_CRYPT 1
#define GETPOS(i, index) (((index) % ocl_v_width) * 4 + ((i) & ~3U) * ocl_v_width + (((i) & 3) ^ 3) + ((index) / ocl_v_width) * 64 * ocl_v_width)
static struct fmt_tests tests[] = {
// AS-REP-with-PA-unsupported-openwall.pcap
{"$krb5asrep$18$EXAMPLE.COMlulu$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$a5245c7f39480a840da0e4c6", "openwall"},
// luser-18-12345678.pcap
{"$krb5asrep$18$EXAMPLE.COMluser$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$420973360c2e907b9053f1db", "12345678"},
// hero-17-abcd.pcap
{"$krb5asrep$17$EXAMPLE.COMhero$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$7ed0277ba9b853008cc62abe", "abcd"},
{NULL}
};
static cl_mem mem_in, mem_out, mem_salt, mem_state, pinned_in, pinned_out;
static cl_kernel pbkdf2_init, pbkdf2_loop, pbkdf2_final;
static struct fmt_main *self;
static struct custom_salt *cur_salt;
static unsigned char constant[16];
static unsigned char ke_input[16];
static unsigned char ki_input[16];
static size_t key_buf_size;
static unsigned int *inbuffer;
static pbkdf2_salt currentsalt;
static pbkdf2_out *output;
static int any_cracked, *cracked;
static size_t cracked_size;;
static int new_keys;
#define ITERATIONS (4096 - 1)
#define HASH_LOOPS 105 // Must be made from factors 3, 3, 5, 7, 13
#define STEP 0
#define SEED 128
static const char * warn[] = {
"P xfer: ", ", init: ", ", loop: ", ", inter: ", ", final: ", ", res xfer: "
};
static int split_events[] = { 2, -1, -1 };
//This file contains auto-tuning routine(s). Has to be included after formats definitions.
#include "opencl_autotune.h"
#include "memdbg.h"
/* ------- Helper functions ------- */
static size_t get_task_max_work_group_size()
{
size_t s;
s = autotune_get_task_max_work_group_size(FALSE, 0, pbkdf2_init);
s = MIN(s, autotune_get_task_max_work_group_size(FALSE, 0, pbkdf2_loop));
s = MIN(s, autotune_get_task_max_work_group_size(FALSE, 0, pbkdf2_final));
return s;
}
static void create_clobj(size_t gws, struct fmt_main *self)
{
gws *= ocl_v_width;
key_buf_size = 64 * gws;
// Allocate memory
pinned_in = clCreateBuffer(context[gpu_id], CL_MEM_READ_ONLY | CL_MEM_ALLOC_HOST_PTR, key_buf_size, NULL, &ret_code);
HANDLE_CLERROR(ret_code, "Error allocating pinned in");
mem_in = clCreateBuffer(context[gpu_id], CL_MEM_READ_ONLY, key_buf_size, NULL, &ret_code);
HANDLE_CLERROR(ret_code, "Error allocating mem in");
inbuffer = clEnqueueMapBuffer(queue[gpu_id], pinned_in, CL_TRUE, CL_MAP_READ | CL_MAP_WRITE, 0, key_buf_size, 0, NULL, NULL, &ret_code);
HANDLE_CLERROR(ret_code, "Error mapping page-locked memory");
mem_state = clCreateBuffer(context[gpu_id], CL_MEM_READ_WRITE, sizeof(pbkdf2_state) * gws, NULL, &ret_code);
HANDLE_CLERROR(ret_code, "Error allocating mem_state");
mem_salt = clCreateBuffer(context[gpu_id], CL_MEM_READ_ONLY | CL_MEM_COPY_HOST_PTR, sizeof(pbkdf2_salt), ¤tsalt, &ret_code);
HANDLE_CLERROR(ret_code, "Error allocating mem setting");
pinned_out = clCreateBuffer(context[gpu_id], CL_MEM_WRITE_ONLY | CL_MEM_ALLOC_HOST_PTR, sizeof(pbkdf2_out) * gws, NULL, &ret_code);
HANDLE_CLERROR(ret_code, "Error allocating pinned out");
mem_out = clCreateBuffer(context[gpu_id], CL_MEM_WRITE_ONLY, sizeof(pbkdf2_out) * gws, NULL, &ret_code);
HANDLE_CLERROR(ret_code, "Error allocating mem out");
output = clEnqueueMapBuffer(queue[gpu_id], pinned_out, CL_TRUE, CL_MAP_READ, 0, sizeof(pbkdf2_out) * gws, 0, NULL, NULL, &ret_code);
HANDLE_CLERROR(ret_code, "Error mapping page-locked memory");
HANDLE_CLERROR(clSetKernelArg(pbkdf2_init, 0, sizeof(mem_in), &mem_in), "Error while setting mem_in kernel argument");
HANDLE_CLERROR(clSetKernelArg(pbkdf2_init, 1, sizeof(mem_salt), &mem_salt), "Error while setting mem_salt kernel argument");
HANDLE_CLERROR(clSetKernelArg(pbkdf2_init, 2, sizeof(mem_state), &mem_state), "Error while setting mem_state kernel argument");
HANDLE_CLERROR(clSetKernelArg(pbkdf2_loop, 0, sizeof(mem_state), &mem_state), "Error while setting mem_state kernel argument");
HANDLE_CLERROR(clSetKernelArg(pbkdf2_final, 0, sizeof(mem_salt), &mem_salt), "Error while setting mem_salt kernel argument");
HANDLE_CLERROR(clSetKernelArg(pbkdf2_final, 1, sizeof(mem_out), &mem_out), "Error while setting mem_out kernel argument");
HANDLE_CLERROR(clSetKernelArg(pbkdf2_final, 2, sizeof(mem_state), &mem_state), "Error while setting mem_state kernel argument");
any_cracked = 0;
cracked_size = sizeof(*cracked) * gws;
cracked = mem_calloc(cracked_size, 1);
}
static void release_clobj(void)
{
if (cracked) {
HANDLE_CLERROR(clEnqueueUnmapMemObject(queue[gpu_id], pinned_in, inbuffer, 0, NULL, NULL), "Error Unmapping mem in");
HANDLE_CLERROR(clEnqueueUnmapMemObject(queue[gpu_id], pinned_out, output, 0, NULL, NULL), "Error Unmapping mem in");
HANDLE_CLERROR(clFinish(queue[gpu_id]), "Error releasing memory mappings");
HANDLE_CLERROR(clReleaseMemObject(pinned_in), "Release pinned_in");
HANDLE_CLERROR(clReleaseMemObject(pinned_out), "Release pinned_out");
HANDLE_CLERROR(clReleaseMemObject(mem_in), "Release pinned_in");
HANDLE_CLERROR(clReleaseMemObject(mem_out), "Release mem_out");
HANDLE_CLERROR(clReleaseMemObject(mem_salt), "Release mem_salt");
HANDLE_CLERROR(clReleaseMemObject(mem_state), "Release mem state");
MEM_FREE(cracked);
}
}
static void done(void)
{
if (autotuned) {
release_clobj();
HANDLE_CLERROR(clReleaseKernel(pbkdf2_init), "Release Kernel");
HANDLE_CLERROR(clReleaseKernel(pbkdf2_loop), "Release Kernel");
HANDLE_CLERROR(clReleaseKernel(pbkdf2_final), "Release Kernel");
HANDLE_CLERROR(clReleaseProgram(program[gpu_id]), "Release Program");
autotuned--;
}
}
static void init(struct fmt_main *_self)
{
unsigned char usage[5];
static char valgo[sizeof(ALGORITHM_NAME) + 8] = "";
self = _self;
opencl_prepare_dev(gpu_id);
/* VLIW5 does better with just 2x vectors due to GPR pressure */
if (!options.v_width && amd_vliw5(device_info[gpu_id]))
ocl_v_width = 2;
else
ocl_v_width = opencl_get_vector_width(gpu_id, sizeof(cl_int));
if (ocl_v_width > 1) {
/* Run vectorized kernel */
snprintf(valgo, sizeof(valgo),
ALGORITHM_NAME " %ux", ocl_v_width);
self->params.algorithm_name = valgo;
}
// generate 128 bits from 40 bits of "kerberos" string
nfold(8 * 8, (unsigned char*)"kerberos", 128, constant);
/* The "well-known constant" used for the DK function is the key usage number,
* expressed as four octets in big-endian order, followed by one octet indicated below.
* Kc = DK(base-key, usage | 0x99);
* Ke = DK(base-key, usage | 0xAA);
* Ki = DK(base-key, usage | 0x55); */
memset(usage, 0, sizeof(usage));
usage[3] = 0x03; // key number in big-endian format
usage[4] = 0xAA; // used to derive Ke
nfold(sizeof(usage) * 8, usage, sizeof(ke_input) * 8, ke_input);
memset(usage, 0, sizeof(usage));
usage[3] = 0x03; // key number in big-endian format
usage[4] = 0x55; // used to derive Ki
nfold(sizeof(usage) * 8, usage, sizeof(ki_input) * 8, ki_input);
}
static void reset(struct db_main *db)
{
if (!autotuned) {
char build_opts[128];
snprintf(build_opts, sizeof(build_opts),
"-DHASH_LOOPS=%u -DITERATIONS=%u -DOUTLEN=%u "
"-DPLAINTEXT_LENGTH=%u -DV_WIDTH=%u",
HASH_LOOPS, ITERATIONS, OUTLEN,
PLAINTEXT_LENGTH, ocl_v_width);
opencl_init("$JOHN/kernels/pbkdf2_hmac_sha1_kernel.cl", gpu_id,
build_opts);
pbkdf2_init = clCreateKernel(program[gpu_id], "pbkdf2_init", &ret_code);
HANDLE_CLERROR(ret_code, "Error creating kernel");
crypt_kernel = pbkdf2_loop = clCreateKernel(program[gpu_id], "pbkdf2_loop", &ret_code);
HANDLE_CLERROR(ret_code, "Error creating kernel");
pbkdf2_final = clCreateKernel(program[gpu_id], "pbkdf2_final", &ret_code);
HANDLE_CLERROR(ret_code, "Error creating kernel");
//Initialize openCL tuning (library) for this format.
opencl_init_auto_setup(SEED, 2 * HASH_LOOPS, split_events,
warn, 2, self, create_clobj,
release_clobj,
ocl_v_width * sizeof(pbkdf2_state), 0, db);
//Auto tune execution from shared/included code.
autotune_run(self, 4 * ITERATIONS + 4, 0,
(cpu(device_info[gpu_id]) ?
1000000000 : 5000000000ULL));
}
}
static int valid(char *ciphertext, struct fmt_main *self)
{
return krb5_asrep_valid(ciphertext, self, 0);
}
static void clear_keys(void) {
memset(inbuffer, 0, key_buf_size);
}
static void set_key(char *key, int index)
{
int i;
int length = strlen(key);
for (i = 0; i < length; i++)
((char*)inbuffer)[GETPOS(i, index)] = key[i];
new_keys = 1;
}
static char *get_key(int index)
{
static char ret[PLAINTEXT_LENGTH + 1];
int i = 0;
while (i < PLAINTEXT_LENGTH &&
(ret[i] = ((char*)inbuffer)[GETPOS(i, index)]))
i++;
ret[i] = 0;
return ret;
}
static void set_salt(void *salt)
{
cur_salt = *((struct custom_salt **)salt);
currentsalt.length = strlen((char*)cur_salt->salt);
currentsalt.iterations = 4096;
memcpy(currentsalt.salt, cur_salt->salt, currentsalt.length);
HANDLE_CLERROR(clEnqueueWriteBuffer(queue[gpu_id], mem_salt, CL_FALSE, 0, sizeof(pbkdf2_salt), ¤tsalt, 0, NULL, NULL), "Copy setting to gpu");
}
static int crypt_all(int *pcount, struct db_salt *salt)
{
const int count = *pcount;
int i;
int key_size;
size_t scalar_gws;
size_t *lws = local_work_size ? &local_work_size : NULL;
global_work_size = GET_MULTIPLE_OR_BIGGER_VW(count, local_work_size);
scalar_gws = global_work_size * ocl_v_width;
if (cur_salt->etype == 17)
key_size = 16;
else
key_size = 32;
// Copy data to gpu
if (ocl_autotune_running || new_keys) {
BENCH_CLERROR(clEnqueueWriteBuffer(queue[gpu_id], mem_in, CL_FALSE, 0, key_buf_size, inbuffer, 0, NULL, multi_profilingEvent[0]), "Copy data to gpu");
new_keys = 0;
}
// Run kernel
BENCH_CLERROR(clEnqueueNDRangeKernel(queue[gpu_id], pbkdf2_init, 1, NULL, &global_work_size, lws, 0, NULL, multi_profilingEvent[1]), "Run initial kernel");
for (i = 0; i < (ocl_autotune_running ? 1 : ITERATIONS / HASH_LOOPS); i++) {
BENCH_CLERROR(clEnqueueNDRangeKernel(queue[gpu_id], pbkdf2_loop, 1, NULL, &global_work_size, lws, 0, NULL, multi_profilingEvent[2]), "Run loop kernel");
BENCH_CLERROR(clFinish(queue[gpu_id]), "Error running loop kernel");
opencl_process_event();
}
BENCH_CLERROR(clEnqueueNDRangeKernel(queue[gpu_id], pbkdf2_final, 1, NULL, &global_work_size, lws, 0, NULL, multi_profilingEvent[3]), "Run intermediate kernel");
for (i = 0; i < (ocl_autotune_running ? 1 : ITERATIONS / HASH_LOOPS); i++) {
BENCH_CLERROR(clEnqueueNDRangeKernel(queue[gpu_id], pbkdf2_loop, 1, NULL, &global_work_size, lws, 0, NULL, NULL), "Run loop kernel (2nd pass)");
BENCH_CLERROR(clFinish(queue[gpu_id]), "Error running loop kernel");
opencl_process_event();
}
BENCH_CLERROR(clEnqueueNDRangeKernel(queue[gpu_id], pbkdf2_final, 1, NULL, &global_work_size, lws, 0, NULL, multi_profilingEvent[4]), "Run final kernel (SHA1)");
BENCH_CLERROR(clFinish(queue[gpu_id]), "Failed running final kernel");
// Read the result back
BENCH_CLERROR(clEnqueueReadBuffer(queue[gpu_id], mem_out, CL_TRUE, 0, sizeof(pbkdf2_out) * scalar_gws, output, 0, NULL, multi_profilingEvent[5]), "Copy result back");
if (any_cracked) {
memset(cracked, 0, cracked_size);
any_cracked = 0;
}
if (!ocl_autotune_running) {
#ifdef _OPENMP
#pragma omp parallel for
#endif
for (i = 0; i < count; i++) {
unsigned char base_key[32];
unsigned char Ke[32];
unsigned char Ki[32];
unsigned char checksum[20];
unsigned char plaintext[4096] = { 0 }; // XXX
dk(base_key, (unsigned char*)output[i].dk, key_size, constant, 16);
dk(Ke, base_key, key_size, ke_input, 16);
krb_decrypt(cur_salt->edata2, cur_salt->edata2len, plaintext, Ke, key_size);
// derive checksum of plaintext
dk(Ki, base_key, key_size, ki_input, 32);
hmac_sha1(Ki, key_size, plaintext, cur_salt->edata2len, checksum, 20);
if (!memcmp(checksum, cur_salt->edata1, 12)) {
cracked[i] = 1;
#ifdef _OPENMP
#pragma omp atomic
#endif
any_cracked |= 1;
}
}
}
return count;
}
static int cmp_all(void *binary, int count)
{
return any_cracked;
}
static int cmp_one(void *binary, int index)
{
return cracked[index];
}
static int cmp_exact(char *source, int index)
{
return cracked[index];
}
struct fmt_main fmt_opencl_krb5_asrep_aes = {
{
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_UNICODE | FMT_UTF8 | FMT_OMP | FMT_DYNA_SALT | FMT_HUGE_INPUT,
{NULL},
{ FORMAT_TAG },
tests
}, {
init,
done,
reset,
fmt_default_prepare,
valid,
krb5_asrep_split,
fmt_default_binary,
krb5_asrep_get_salt,
{NULL},
fmt_default_source,
{
fmt_default_binary_hash
},
fmt_default_dyna_salt_hash,
NULL,
set_salt,
set_key,
get_key,
clear_keys,
crypt_all,
{
fmt_default_get_hash
},
cmp_all,
cmp_one,
cmp_exact
}
};
#endif /* plugin stanza */
#endif /* HAVE_OPENCL */
|
single.c | #include <stdio.h>
#include <omp.h>
main() {
int n = 9, i, a, b[n];
for (i=0; i<n; i++) b[i] = -1;
#pragma omp parallel
{
#pragma omp single
{
printf("Introduce valor de inicialización a: ");
scanf("%d", &a );
printf("Single ejecutada por el thread %d\n",
omp_get_thread_num());
}
#pragma omp for
for (i=0; i<n; i++)
b[i] = a;
#pragma omp single
{
printf("En región parallel:\n");
for (i=0; i<n; i++) printf("b[%d] = %d\t ID %d\n ",i,b[i],omp_get_thread_num());
printf("\n");
}
}
}
|
GB_unop__identity_int32_fc32.c | //------------------------------------------------------------------------------
// GB_unop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2020, All Rights Reserved.
// http://suitesparse.com See GraphBLAS/Doc/License.txt for license.
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_unop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB_unop_apply__identity_int32_fc32
// op(A') function: GB_unop_tran__identity_int32_fc32
// C type: int32_t
// A type: GxB_FC32_t
// cast: int32_t cij = GB_cast_to_int32_t ((double) crealf (aij))
// unaryop: cij = aij
#define GB_ATYPE \
GxB_FC32_t
#define GB_CTYPE \
int32_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 = x ;
// casting
#define GB_CAST(z, aij) \
int32_t z = GB_cast_to_int32_t ((double) crealf (aij)) ;
// cij = op (aij)
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
GxB_FC32_t aij = Ax [pA] ; \
/* Cx [pC] = op (cast (aij)) */ \
int32_t z = GB_cast_to_int32_t ((double) crealf (aij)) ; \
Cx [pC] = z ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_IDENTITY || GxB_NO_INT32 || GxB_NO_FC32)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop_apply__identity_int32_fc32
(
int32_t *Cx, // Cx and Ax may be aliased
const GxB_FC32_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++)
{
GxB_FC32_t aij = Ax [p] ;
int32_t z = GB_cast_to_int32_t ((double) crealf (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_int32_fc32
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *GB_RESTRICT *Rowcounts,
GBI_single_iterator Iter,
const int64_t *GB_RESTRICT A_slice,
int naslice
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#define GB_PHASE_2_OF_2
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
var_init.c | #include <mpi.h>
extern int local_cell_blocks;
extern int local_edge_blocks;
#include <stdint.h>
#include "../io.h"
#include "../option.h"
#include "../grid.h"
static char * Filename;
static int gridsize = 4;
static int gridheight = 64;
static option_help options[] = {{'G' , "gridsize" , "The dimension of the grid in G*G.H" , OPTION_OPTIONAL_ARGUMENT , 'd' , &gridsize} , {'H' , "gridheight" , "The dimension of the grid in G*G*H." , OPTION_OPTIONAL_ARGUMENT , 'd' , &gridheight} , {'f' , "filename" , "Path to the output file." , OPTION_REQUIRED_ARGUMENT , 's' , &Filename} , LAST_OPTION};
void Init_gv_temp(GRID * g)
{
struct {
char * name;
int loc;
int dim;
union {
GVAL * restrict * restrict p2;
GVAL * restrict * restrict * restrict p3;
} data_pointer;
} * gv_temp;
{
int num_blocks = local_cell_blocks ? local_cell_blocks : ( ( ( g->cBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size);
gv_temp = malloc( 24) ;
gv_temp->name = "gv_temp" ;
gv_temp->loc = 0 ;
gv_temp->dim = 3 ;
gv_temp->data_pointer.p3 = malloc( ( num_blocks * g->height * g->blkSize) * sizeof(GVAL) + ( num_blocks * g->height) * sizeof(char * ) + ( num_blocks) * sizeof(char * )) ;
char * pos = (char * ) gv_temp->data_pointer.p3 + num_blocks * sizeof(char * );
char * pos2 = (char * ) gv_temp->data_pointer.p3 + num_blocks * sizeof(char * ) + num_blocks * g->height * sizeof(char * );
for(int b = 0; b < num_blocks ; b++) {
gv_temp->data_pointer.p3[ b] = (GVAL * * ) pos ;
pos += g->height * sizeof(char * ) ;
for(int k = 0; k < g->height ; k++) {
gv_temp->data_pointer.p3[ b][ k] = (GVAL * ) pos2 ;
pos2 += g->blkSize * sizeof(GVAL) ;
for(int c = 0; c < g->blkSize ; c++) {
gv_temp->data_pointer.p3[ b][ k][ c] = (GVAL) 0 ;
}
}
}
}
io_var_t io_gv_temp;
{
size_t min_block = g->mpi_rank == ( 0) / ( ( ( g->cBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size) ? 0 % ( ( ( g->cBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size) : 0;
size_t max_block = g->mpi_rank < ( 0) / ( ( ( g->cBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size) || g->mpi_rank > ( g->cBlkCnt - 1) / ( ( ( g->cBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size) ? 0 : g->mpi_rank == ( g->cBlkCnt - 1) / ( ( ( g->cBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size) ? g->cBlkCnt % ( ( ( g->cBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size) ? g->cBlkCnt % ( ( ( g->cBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size) : ( ( ( g->cBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size) : ( ( ( g->cBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size);
#pragma omp parallel for
for(size_t block_index = ( min_block); block_index < ( max_block) ; block_index++) {
for(size_t height_index = ( 0); height_index < ( g->height) ; height_index++) {
for(size_t cell_index = ( 0); cell_index < ( g->blkSize) ; cell_index++) {
if ( block_index == 0 && cell_index == 0 && g->mpi_rank == 0 ) gv_temp->data_pointer.p3[ ( block_index)][ ( height_index)][ ( cell_index)] = 100.0f ; else gv_temp->data_pointer.p3[ ( block_index)][ ( height_index)][ ( cell_index)] = 0.0f ;
}
}
}
}
io_write_define( g , "gv_temp" , (GVAL * ) gv_temp , FLOAT32 , GRID_POS_CELL , GRID_DIM_3D , &io_gv_temp) ;
io_write_announce( g , &io_gv_temp) ;
}
void Init_gv_ind2Dparam(GRID * g)
{
struct {
char * name;
int loc;
int dim;
union {
GVAL * restrict * restrict p2;
GVAL * restrict * restrict * restrict p3;
} data_pointer;
} * gv_ind2Dparam;
{
int num_blocks = local_edge_blocks ? local_edge_blocks : ( ( ( g->eBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size);
gv_ind2Dparam = malloc( 24) ;
gv_ind2Dparam->name = "gv_ind2Dparam" ;
gv_ind2Dparam->loc = 1 ;
gv_ind2Dparam->dim = 2 ;
gv_ind2Dparam->data_pointer.p2 = malloc( ( num_blocks * g->blkSize) * sizeof(GVAL) + ( num_blocks) * sizeof(char * )) ;
char * pos = (char * ) gv_ind2Dparam->data_pointer.p2 + num_blocks * sizeof(char * );
for(int b = 0; b < num_blocks ; b++) {
gv_ind2Dparam->data_pointer.p2[ b] = (GVAL * ) pos ;
pos += g->blkSize * sizeof(GVAL) ;
for(int e = 0; e < g->blkSize ; e++) {
gv_ind2Dparam->data_pointer.p2[ b][ e] = (GVAL) 0 ;
}
}
}
io_var_t io_gv_ind2Dparam;
{
size_t min_block = g->mpi_rank == ( 0) / ( ( ( g->eBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size) ? 0 % ( ( ( g->eBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size) : 0;
size_t max_block = g->mpi_rank < ( 0) / ( ( ( g->eBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size) || g->mpi_rank > ( g->eBlkCnt - 1) / ( ( ( g->eBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size) ? 0 : g->mpi_rank == ( g->eBlkCnt - 1) / ( ( ( g->eBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size) ? g->eBlkCnt % ( ( ( g->eBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size) ? g->eBlkCnt % ( ( ( g->eBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size) : ( ( ( g->eBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size) : ( ( ( g->eBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size);
#pragma omp parallel for
for(size_t block_index = ( min_block); block_index < ( max_block) ; block_index++) {
for(size_t edge_index = ( 0); edge_index < ( g->blkSize) ; edge_index++) {
gv_ind2Dparam->data_pointer.p2[ ( block_index)][ ( edge_index)] = 1.0f ;
}
}
}
io_write_define( g , "gv_ind2Dparam" , (GVAL * ) gv_ind2Dparam , FLOAT32 , GRID_POS_EDGE , GRID_DIM_2D , &io_gv_ind2Dparam) ;
io_write_announce( g , &io_gv_ind2Dparam) ;
}
void Init_gv_o8param(GRID * g)
{
struct {
char * name;
int loc;
int dim;
union {
GVAL * restrict * restrict p2;
GVAL * restrict * restrict * restrict p3;
} data_pointer;
} * gv_o8param0;
{
int num_blocks = local_cell_blocks ? local_cell_blocks : ( ( ( g->cBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size);
gv_o8param0 = malloc( 24) ;
gv_o8param0->name = "gv_o8param0" ;
gv_o8param0->loc = 0 ;
gv_o8param0->dim = 2 ;
gv_o8param0->data_pointer.p2 = malloc( ( num_blocks * g->blkSize) * sizeof(GVAL) + ( num_blocks) * sizeof(char * )) ;
char * pos = (char * ) gv_o8param0->data_pointer.p2 + num_blocks * sizeof(char * );
for(int b = 0; b < num_blocks ; b++) {
gv_o8param0->data_pointer.p2[ b] = (GVAL * ) pos ;
pos += g->blkSize * sizeof(GVAL) ;
for(int c = 0; c < g->blkSize ; c++) {
gv_o8param0->data_pointer.p2[ b][ c] = (GVAL) 0 ;
}
}
}
io_var_t io_gv_o8param0;
{
size_t min_block = g->mpi_rank == ( 0) / ( ( ( g->cBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size) ? 0 % ( ( ( g->cBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size) : 0;
size_t max_block = g->mpi_rank < ( 0) / ( ( ( g->cBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size) || g->mpi_rank > ( g->cBlkCnt - 1) / ( ( ( g->cBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size) ? 0 : g->mpi_rank == ( g->cBlkCnt - 1) / ( ( ( g->cBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size) ? g->cBlkCnt % ( ( ( g->cBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size) ? g->cBlkCnt % ( ( ( g->cBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size) : ( ( ( g->cBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size) : ( ( ( g->cBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size);
#pragma omp parallel for
for(size_t block_index = ( min_block); block_index < ( max_block) ; block_index++) {
for(size_t cell_index = ( 0); cell_index < ( g->blkSize) ; cell_index++) {
gv_o8param0->data_pointer.p2[ ( block_index)][ ( cell_index)] = 1.0f / 3.0f ;
}
}
}
io_write_define( g , "gv_o8param0" , (GVAL * ) gv_o8param0 , FLOAT32 , GRID_POS_CELL , GRID_DIM_2D , &io_gv_o8param0) ;
io_write_announce( g , &io_gv_o8param0) ;
struct {
char * name;
int loc;
int dim;
union {
GVAL * restrict * restrict p2;
GVAL * restrict * restrict * restrict p3;
} data_pointer;
} * gv_o8param1;
{
int num_blocks = local_cell_blocks ? local_cell_blocks : ( ( ( g->cBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size);
gv_o8param1 = malloc( 24) ;
gv_o8param1->name = "gv_o8param1" ;
gv_o8param1->loc = 0 ;
gv_o8param1->dim = 2 ;
gv_o8param1->data_pointer.p2 = malloc( ( num_blocks * g->blkSize) * sizeof(GVAL) + ( num_blocks) * sizeof(char * )) ;
char * pos = (char * ) gv_o8param1->data_pointer.p2 + num_blocks * sizeof(char * );
for(int b = 0; b < num_blocks ; b++) {
gv_o8param1->data_pointer.p2[ b] = (GVAL * ) pos ;
pos += g->blkSize * sizeof(GVAL) ;
for(int c = 0; c < g->blkSize ; c++) {
gv_o8param1->data_pointer.p2[ b][ c] = (GVAL) 0 ;
}
}
}
io_var_t io_gv_o8param1;
{
size_t min_block = g->mpi_rank == ( 0) / ( ( ( g->cBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size) ? 0 % ( ( ( g->cBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size) : 0;
size_t max_block = g->mpi_rank < ( 0) / ( ( ( g->cBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size) || g->mpi_rank > ( g->cBlkCnt - 1) / ( ( ( g->cBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size) ? 0 : g->mpi_rank == ( g->cBlkCnt - 1) / ( ( ( g->cBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size) ? g->cBlkCnt % ( ( ( g->cBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size) ? g->cBlkCnt % ( ( ( g->cBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size) : ( ( ( g->cBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size) : ( ( ( g->cBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size);
#pragma omp parallel for
for(size_t block_index = ( min_block); block_index < ( max_block) ; block_index++) {
for(size_t cell_index = ( 0); cell_index < ( g->blkSize) ; cell_index++) {
gv_o8param1->data_pointer.p2[ ( block_index)][ ( cell_index)] = 1.0f / 3.0f ;
}
}
}
io_write_define( g , "gv_o8param1" , (GVAL * ) gv_o8param1 , FLOAT32 , GRID_POS_CELL , GRID_DIM_2D , &io_gv_o8param1) ;
io_write_announce( g , &io_gv_o8param1) ;
struct {
char * name;
int loc;
int dim;
union {
GVAL * restrict * restrict p2;
GVAL * restrict * restrict * restrict p3;
} data_pointer;
} * gv_o8param2;
{
int num_blocks = local_cell_blocks ? local_cell_blocks : ( ( ( g->cBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size);
gv_o8param2 = malloc( 24) ;
gv_o8param2->name = "gv_o8param2" ;
gv_o8param2->loc = 0 ;
gv_o8param2->dim = 2 ;
gv_o8param2->data_pointer.p2 = malloc( ( num_blocks * g->blkSize) * sizeof(GVAL) + ( num_blocks) * sizeof(char * )) ;
char * pos = (char * ) gv_o8param2->data_pointer.p2 + num_blocks * sizeof(char * );
for(int b = 0; b < num_blocks ; b++) {
gv_o8param2->data_pointer.p2[ b] = (GVAL * ) pos ;
pos += g->blkSize * sizeof(GVAL) ;
for(int c = 0; c < g->blkSize ; c++) {
gv_o8param2->data_pointer.p2[ b][ c] = (GVAL) 0 ;
}
}
}
io_var_t io_gv_o8param2;
{
size_t min_block = g->mpi_rank == ( 0) / ( ( ( g->cBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size) ? 0 % ( ( ( g->cBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size) : 0;
size_t max_block = g->mpi_rank < ( 0) / ( ( ( g->cBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size) || g->mpi_rank > ( g->cBlkCnt - 1) / ( ( ( g->cBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size) ? 0 : g->mpi_rank == ( g->cBlkCnt - 1) / ( ( ( g->cBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size) ? g->cBlkCnt % ( ( ( g->cBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size) ? g->cBlkCnt % ( ( ( g->cBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size) : ( ( ( g->cBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size) : ( ( ( g->cBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size);
#pragma omp parallel for
for(size_t block_index = ( min_block); block_index < ( max_block) ; block_index++) {
for(size_t cell_index = ( 0); cell_index < ( g->blkSize) ; cell_index++) {
gv_o8param2->data_pointer.p2[ ( block_index)][ ( cell_index)] = 1.0f / 3.0f ;
}
}
}
io_write_define( g , "gv_o8param2" , (GVAL * ) gv_o8param2 , FLOAT32 , GRID_POS_CELL , GRID_DIM_2D , &io_gv_o8param2) ;
io_write_announce( g , &io_gv_o8param2) ;
}
void Init_gv_o8par2(GRID * g)
{
struct {
char * name;
int loc;
int dim;
union {
GVAL * restrict * restrict p2;
GVAL * restrict * restrict * restrict p3;
} data_pointer;
} * gv_o8par2;
{
int num_blocks = local_cell_blocks ? local_cell_blocks : ( ( ( g->cBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size);
gv_o8par2 = malloc( 24) ;
gv_o8par2->name = "gv_o8par2" ;
gv_o8par2->loc = 0 ;
gv_o8par2->dim = 3 ;
gv_o8par2->data_pointer.p3 = malloc( ( num_blocks * g->height * g->blkSize) * sizeof(GVAL) + ( num_blocks * g->height) * sizeof(char * ) + ( num_blocks) * sizeof(char * )) ;
char * pos = (char * ) gv_o8par2->data_pointer.p3 + num_blocks * sizeof(char * );
char * pos2 = (char * ) gv_o8par2->data_pointer.p3 + num_blocks * sizeof(char * ) + num_blocks * g->height * sizeof(char * );
for(int b = 0; b < num_blocks ; b++) {
gv_o8par2->data_pointer.p3[ b] = (GVAL * * ) pos ;
pos += g->height * sizeof(char * ) ;
for(int k = 0; k < g->height ; k++) {
gv_o8par2->data_pointer.p3[ b][ k] = (GVAL * ) pos2 ;
pos2 += g->blkSize * sizeof(GVAL) ;
for(int c = 0; c < g->blkSize ; c++) {
gv_o8par2->data_pointer.p3[ b][ k][ c] = (GVAL) 0 ;
}
}
}
}
io_var_t io_gv_o8par2;
{
size_t min_block = g->mpi_rank == ( 0) / ( ( ( g->cBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size) ? 0 % ( ( ( g->cBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size) : 0;
size_t max_block = g->mpi_rank < ( 0) / ( ( ( g->cBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size) || g->mpi_rank > ( g->cBlkCnt - 1) / ( ( ( g->cBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size) ? 0 : g->mpi_rank == ( g->cBlkCnt - 1) / ( ( ( g->cBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size) ? g->cBlkCnt % ( ( ( g->cBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size) ? g->cBlkCnt % ( ( ( g->cBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size) : ( ( ( g->cBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size) : ( ( ( g->cBlkCnt) + g->mpi_world_size - 1) / g->mpi_world_size);
#pragma omp parallel for
for(size_t block_index = ( min_block); block_index < ( max_block) ; block_index++) {
for(size_t height_index = ( 0); height_index < ( g->height) ; height_index++) {
for(size_t cell_index = ( 0); cell_index < ( g->blkSize) ; cell_index++) {
gv_o8par2->data_pointer.p3[ ( block_index)][ ( height_index)][ ( cell_index)] = 1.0f / 2.0f ;
}
}
}
}
io_write_define( g , "gv_o8par2" , (GVAL * ) gv_o8par2 , FLOAT32 , GRID_POS_CELL , GRID_DIM_3D , &io_gv_o8par2) ;
io_write_announce( g , &io_gv_o8par2) ;
}
int main(int argc , char * * argv)
{
int PrintHelp = 0;
parseOptions( argc , argv , options , &PrintHelp) ;
if ( PrintHelp ) {
print_help( options , 0) ;
exit( 0) ;
}
GRID * g = malloc( sizeof(GRID));
{
MPI_Init( NULL , NULL) ;
MPI_Comm_size( MPI_COMM_WORLD , &g->mpi_world_size) ;
MPI_Comm_rank( MPI_COMM_WORLD , &g->mpi_rank) ;
}
init_grid( g , gridsize , gridheight) ;
io_write_init( g , Filename) ;
Init_gv_temp( g) ;
Init_gv_ind2Dparam( g) ;
Init_gv_o8param( g) ;
Init_gv_o8par2( g) ;
io_write_registration_complete( g) ;
io_write_start( g) ;
io_write_finalize( g) ;
{
MPI_Finalize() ;
}
} |
GB_binop__bxnor_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__bxnor_int64)
// A.*B function (eWiseMult): GB (_AemultB_08__bxnor_int64)
// A.*B function (eWiseMult): GB (_AemultB_02__bxnor_int64)
// A.*B function (eWiseMult): GB (_AemultB_04__bxnor_int64)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__bxnor_int64)
// A*D function (colscale): GB ((none))
// D*A function (rowscale): GB ((none))
// C+=B function (dense accum): GB (_Cdense_accumB__bxnor_int64)
// C+=b function (dense accum): GB (_Cdense_accumb__bxnor_int64)
// C+=A+B function (dense ewise3): GB ((none))
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__bxnor_int64)
// C=scalar+B GB (_bind1st__bxnor_int64)
// C=scalar+B' GB (_bind1st_tran__bxnor_int64)
// C=A+scalar GB (_bind2nd__bxnor_int64)
// C=A'+scalar GB (_bind2nd_tran__bxnor_int64)
// C type: int64_t
// A type: int64_t
// A pattern? 0
// B type: int64_t
// B pattern? 0
// BinaryOp: cij = ~((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)
// 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) \
int64_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) \
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 = ~((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_BXNOR || GxB_NO_INT64 || GxB_NO_BXNOR_INT64)
//------------------------------------------------------------------------------
// 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__bxnor_int64)
(
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__bxnor_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__bxnor_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
//------------------------------------------------------------------------------
#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
int64_t *restrict Cx = (int64_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
int64_t *restrict Cx = (int64_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__bxnor_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 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) ;
int64_t alpha_scalar ;
int64_t beta_scalar ;
if (is_eWiseUnion)
{
alpha_scalar = (*((int64_t *) alpha_scalar_in)) ;
beta_scalar = (*((int64_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__bxnor_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__bxnor_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__bxnor_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__bxnor_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__bxnor_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] = ~((x) ^ (bij)) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB (_bind2nd__bxnor_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] = ~((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] = ~((x) ^ (aij)) ; \
}
GrB_Info GB (_bind1st_tran__bxnor_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] = ~((aij) ^ (y)) ; \
}
GrB_Info GB (_bind2nd_tran__bxnor_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
|
activation.h | // Copyright 2018 Xiaomi, Inc. All rights reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#ifndef MACE_KERNELS_ACTIVATION_H_
#define MACE_KERNELS_ACTIVATION_H_
#include <algorithm>
#include <cmath>
#include <memory>
#include <string>
#include <vector>
#include "mace/core/future.h"
#include "mace/core/tensor.h"
#include "mace/core/types.h"
#include "mace/kernels/kernel.h"
namespace mace {
namespace kernels {
enum ActivationType {
NOOP = 0,
RELU = 1,
RELUX = 2,
PRELU = 3,
TANH = 4,
SIGMOID = 5
};
inline ActivationType StringToActivationType(const std::string type) {
if (type == "RELU") {
return ActivationType::RELU;
} else if (type == "RELUX") {
return ActivationType::RELUX;
} else if (type == "PRELU") {
return ActivationType::PRELU;
} else if (type == "TANH") {
return ActivationType::TANH;
} else if (type == "SIGMOID") {
return ActivationType::SIGMOID;
} else if (type == "NOOP") {
return ActivationType::NOOP;
} else {
LOG(FATAL) << "Unknown activation type: " << type;
}
return ActivationType::NOOP;
}
template <typename T>
void DoActivation(const T *input_ptr,
T *output_ptr,
const index_t size,
const ActivationType type,
const float relux_max_limit) {
MACE_CHECK(DataTypeToEnum<T>::value != DataType::DT_HALF);
switch (type) {
case NOOP:
break;
case RELU:
#pragma omp parallel for
for (index_t i = 0; i < size; ++i) {
output_ptr[i] = std::max(input_ptr[i], static_cast<T>(0));
}
break;
case RELUX:
#pragma omp parallel for
for (index_t i = 0; i < size; ++i) {
output_ptr[i] = std::min(std::max(input_ptr[i], static_cast<T>(0)),
static_cast<T>(relux_max_limit));
}
break;
case TANH:
#pragma omp parallel for
for (index_t i = 0; i < size; ++i) {
output_ptr[i] = std::tanh(input_ptr[i]);
}
break;
case SIGMOID:
#pragma omp parallel for
for (index_t i = 0; i < size; ++i) {
output_ptr[i] = 1 / (1 + std::exp(-input_ptr[i]));
}
break;
default:
LOG(FATAL) << "Unknown activation type: " << type;
}
}
template <typename T>
void PReLUActivation(const T *input_ptr,
const index_t outer_size,
const index_t input_chan,
const index_t inner_size,
const T *alpha_ptr,
T *output_ptr) {
#pragma omp parallel for collapse(3)
for (index_t i = 0; i < outer_size; ++i) {
for (index_t chan_idx = 0; chan_idx < input_chan; ++chan_idx) {
for (index_t j = 0; j < inner_size; ++j) {
index_t idx = i * input_chan * inner_size + chan_idx * inner_size + j;
if (input_ptr[idx] < 0) {
output_ptr[idx] = input_ptr[idx] * alpha_ptr[chan_idx];
} else {
output_ptr[idx] = input_ptr[idx];
}
}
}
}
}
template <DeviceType D, typename T>
class ActivationFunctor;
template <>
class ActivationFunctor<DeviceType::CPU, float> : OpKernel {
public:
ActivationFunctor(OpKernelContext *context,
ActivationType type,
float relux_max_limit)
: OpKernel(context),
activation_(type),
relux_max_limit_(relux_max_limit) {}
MaceStatus operator()(const Tensor *input,
const Tensor *alpha,
Tensor *output,
StatsFuture *future) {
MACE_UNUSED(future);
const float *input_ptr = input->data<float>();
float *output_ptr = output->mutable_data<float>();
if (activation_ == PRELU) {
MACE_CHECK_NOTNULL(alpha);
const float *alpha_ptr = alpha->data<float>();
const index_t outer_size = output->dim(0);
const index_t inner_size = output->dim(2) * output->dim(3);
PReLUActivation(input_ptr, outer_size, input->dim(1), inner_size,
alpha_ptr, output_ptr);
} else {
DoActivation(input_ptr, output_ptr, output->size(), activation_,
relux_max_limit_);
}
return MACE_SUCCESS;
}
private:
ActivationType activation_;
float relux_max_limit_;
};
#ifdef MACE_ENABLE_OPENCL
class OpenCLActivationKernel {
public:
virtual MaceStatus Compute(
OpKernelContext *context,
const Tensor *input,
const Tensor *alpha,
Tensor *output,
StatsFuture *future) = 0;
MACE_VIRTUAL_EMPTY_DESTRUCTOR(OpenCLActivationKernel);
};
template <typename T>
class ActivationFunctor<DeviceType::GPU, T> : OpKernel {
public:
ActivationFunctor(OpKernelContext *context,
ActivationType type,
T relux_max_limit);
MaceStatus operator()(const Tensor *input,
const Tensor *alpha,
Tensor *output,
StatsFuture *future);
private:
std::unique_ptr<OpenCLActivationKernel> kernel_;
};
#endif // MACE_ENABLE_OPENCL
} // namespace kernels
} // namespace mace
#endif // MACE_KERNELS_ACTIVATION_H_
|
outer_mult_profile.h | #include "CSC.h"
#include "CSR.h"
#include "Triple.h"
#include "radix_sort/radix_sort.hpp"
#include "utility.h"
#include <algorithm>
#include <iostream>
#include <omp.h>
#include <unistd.h>
#include <cstring>
using namespace std;
static uint32_t nrows_per_blocker;
static uint32_t ncols_per_blocker;
static uint32_t ncols_of_A;
template <typename IT>
uint16_t fast_mod(const IT input, const int ceil) {
return input >= ceil ? input % ceil : input;
}
template <typename IT, typename NT>
uint64_t getFlop(const CSC<IT, NT>& A, const CSR<IT, NT>& B)
{
uint64_t flop = 0;
#pragma omp parallel for reduction(+ : flop)
for (IT i = 0; i < A.cols; ++i)
{
IT colnnz = A.colptr[i + 1] - A.colptr[i];
IT rownnz = B.rowptr[i + 1] - B.rowptr[i];
flop += (colnnz * rownnz);
}
return flop;
}
template <typename IT, typename NT>
void do_symbolic(const CSC<IT, NT>& A, const CSR<IT, NT>& B, IT startIdx, IT endIdx,
uint16_t nrows_per_blocker, uint16_t ncols_per_blocker, uint16_t num_blockers,
IT* flop_groupby_row_blockers, IT* flop_groupby_col_blockers, IT& total_flop)
{
#pragma omp parallel for reduction(+ : flop_groupby_row_blockers[:num_blockers]) reduction(+ : flop_groupby_col_blockers[:num_blockers*num_blockers])
for (IT i = startIdx; i < endIdx; ++i)
{
IT rownnz = B.rowptr[i + 1] - B.rowptr[i];
for (IT j = A.colptr[i]; j < A.colptr[i + 1]; ++j)
{
uint16_t row_blocker_id = A.rowids[j] / nrows_per_blocker;
uint16_t col_blocker_id = fast_mod(A.rowids[j], nrows_per_blocker) / ncols_per_blocker;
flop_groupby_row_blockers[row_blocker_id] += rownnz;
flop_groupby_col_blockers[row_blocker_id * num_blockers + col_blocker_id] += rownnz;
}
}
for (IT i = 0; i < num_blockers; ++i)
{
total_flop += flop_groupby_row_blockers[i];
}
}
template <typename IT, typename NT>
bool compareTuple (tuple<IT, IT, NT> t1, tuple<IT, IT, NT> t2)
{
if (std::get<1>(t1) != std::get<1>(t2))
return false;
if (std::get<0>(t1) != std::get<0>(t2))
return false;
return true;
}
template <typename IT, typename NT>
int64_t getReqMemory(const CSC<IT, NT>& A, const CSR<IT, NT>& B)
{
uint64_t flop = getFlop(A, B);
return flop * sizeof(int64_t);
}
struct ExtractKey
{
inline int64_t operator()(tuple<int32_t, int32_t, double> tup)
{
int64_t res = std::get<0>(tup);
res = (res << 32);
res = res | (int64_t)(uint32_t) std::get<1>(tup);
return res;
}
};
struct ExtractKey2
{
inline uint32_t operator()(tuple<int32_t, int32_t, double> tup)
{
return (((fast_mod(fast_mod(std::get<0>(tup), 32768), 128)) << 24) | (uint32_t) std::get<1>(tup));
}
};
template <typename IT, typename NT>
void doRadixSort(tuple<IT, IT, NT>* begin, tuple<IT, IT, NT>* end, tuple<IT, IT, NT>* buffer)
{
radix_sort(begin, end, buffer, ExtractKey2());
}
template <typename IT, typename NT>
IT doMerge(tuple<IT, IT, NT>* vec, IT length)
{
if (length == 0) return 0;
IT i = 0;
IT j = 1;
while (i < length && j < length)
{
if (j < length && compareTuple(vec[i], vec[j]))
std::get<2>(vec[i]) += std::get<2>(vec[j]);
else
vec[++i] = std::move(vec[j]);
++j;
}
return i + 1;
}
template <typename IT>
void initializeBlockerBoundary(IT* nums_per_col_blocker, uint16_t num_blockers, IT* blocker_begin_ptr,
IT* blocker_end_ptr)
{
blocker_begin_ptr[0] = 0;
blocker_end_ptr[0] = 0;
for (uint16_t blocker_index = 1; blocker_index < num_blockers; ++blocker_index)
{
blocker_begin_ptr[blocker_index] = blocker_begin_ptr[blocker_index - 1] + nums_per_col_blocker[blocker_index - 1];
blocker_end_ptr[blocker_index] = blocker_begin_ptr[blocker_index];
}
}
template <typename IT, typename NT>
void OuterSpGEMM_stage(const CSC<IT, NT>& A, const CSR<IT, NT>& B, IT startIdx, IT endIdx, CSR<IT, NT>& C, \
double &t_symbolic, double &t_pb1, double &t_pb2, double &t_sort, double &t_merge, double &t_convert, double &t_alloc, double &t_free, \
int nblockers, int nblockchars)
{
typedef tuple<IT, IT, NT> TripleNode;
const uint16_t nthreads = omp_get_max_threads();
const uint16_t num_blockers = nblockers;
const uint16_t block_width = nblockchars;
ncols_of_A = A.cols;
nrows_per_blocker = A.rows <= num_blockers * 64 ? 64 : (A.rows + num_blockers - 1) / num_blockers;
ncols_per_blocker = nrows_per_blocker <= (num_blockers - 1) * 2 ? 2 : (nrows_per_blocker + num_blockers - 1) / num_blockers;
// cout << "nrows_per_row_blocker " << nrows_per_blocker << endl;
// cout << "ncols_per_col_blocker " << ncols_per_blocker << endl;
IT total_nnz = 0;
IT total_flop = 0;
IT* row_blocker_begin_ptr = new IT[num_blockers]();
IT* row_blocker_end_ptr = new IT[num_blockers]();
IT* flop_groupby_row_blockers = new IT[num_blockers]();
IT* nnz_by_row = new IT[A.rows]();
IT* flop_groupby_col_blockers = new IT[num_blockers * num_blockers]();
double w1, w2;
w1 = omp_get_wtime();
do_symbolic(A, B, 0, A.rows, nrows_per_blocker, ncols_per_blocker, num_blockers, flop_groupby_row_blockers, flop_groupby_col_blockers, total_flop);
w2 = omp_get_wtime();
t_symbolic += w2 - w1;
TripleNode* global_blockers = static_cast<TripleNode*>(operator new(sizeof(TripleNode[total_flop])));
// calc prefix sum
initializeBlockerBoundary(flop_groupby_row_blockers, num_blockers, row_blocker_begin_ptr, row_blocker_end_ptr);
TripleNode* local_blockers = static_cast<TripleNode*> \
(operator new(sizeof(TripleNode[block_width * num_blockers * nthreads])));
IT* size_of_local_blockers = new IT[num_blockers * nthreads]();
w1 = omp_get_wtime();
#pragma omp parallel
{
uint16_t thread_id = omp_get_thread_num();
// computing phase
#pragma omp for
for (IT idx = startIdx; idx < endIdx; ++idx)
for (IT j = A.colptr[idx]; j < A.colptr[idx + 1]; ++j) // ncols(A) * 4
{
IT rowid = A.rowids[j]; // nnz(A) * 4
uint16_t row_blocker_index = rowid / nrows_per_blocker;
IT local_blocker_size_offset = thread_id * num_blockers + row_blocker_index;
IT local_blocker_offset = local_blocker_size_offset * block_width;
TripleNode* cur_local_blockers = local_blockers + local_blocker_offset + size_of_local_blockers[local_blocker_size_offset];
TripleNode* end_local_blockers = local_blockers + local_blocker_offset + block_width;
for (IT k = B.rowptr[idx]; k < B.rowptr[idx + 1]; ++k) // nrows(B) * 4
{
*cur_local_blockers = std::move(TripleNode(rowid, B.colids[k], A.values[j] * B.values[k]));
cur_local_blockers++;
//if (size_of_local_blockers[local_blocker_size_offset] == block_width) // flop * 16
if (cur_local_blockers == end_local_blockers) // flop * 16
{
std::memcpy(
global_blockers + __sync_fetch_and_add(&row_blocker_end_ptr[row_blocker_index], block_width),
local_blockers + local_blocker_offset,
block_width * sizeof(TripleNode)
);
cur_local_blockers = local_blockers + local_blocker_offset;
//size_of_local_blockers[local_blocker_size_offset] = 0;
}
}
size_of_local_blockers[local_blocker_size_offset] = cur_local_blockers - local_blockers - local_blocker_offset;
}
for (uint16_t row_blocker_index = 0; row_blocker_index < num_blockers; row_blocker_index++)
{
IT local_blocker_size_offset = thread_id * num_blockers + row_blocker_index;
IT local_blocker_offset = local_blocker_size_offset * block_width;
std::memcpy(
global_blockers + __sync_fetch_and_add(&row_blocker_end_ptr[row_blocker_index], size_of_local_blockers[local_blocker_size_offset]),
local_blockers + local_blocker_offset,
size_of_local_blockers[local_blocker_size_offset] * sizeof(TripleNode)
);
size_of_local_blockers[local_blocker_size_offset] = 0;
}
}
w2 = omp_get_wtime();
t_pb1 += w2 - w1;
double FLOPS_pb1 = total_flop / (1000000000 * (w2 - w1));
double bytes_pb1 = (A.nnz + B.nnz) * (sizeof(IT) + sizeof(NT)) + (A.cols + B.rows) * sizeof(IT) + total_flop * (2 * sizeof(IT) + sizeof(NT));
double BW_pb1 = bytes_pb1 / (1000000000 * (w2 - w1));
cout << "Bandwidth = " << BW_pb1 << " GB/s" << " GFLOPS = " << FLOPS_pb1 << endl;
w1 = omp_get_wtime();
vector<TripleNode*> flop_space = vector<TripleNode*>(num_blockers);
for (uint16_t row_blocker_index = 0; row_blocker_index < num_blockers; ++row_blocker_index)
flop_space[row_blocker_index] =
static_cast<TripleNode*>(operator new(sizeof(TripleNode[flop_groupby_row_blockers[row_blocker_index]])));
IT max_flops_in_col_blockers = 0;
IT avg_flops_in_col_blockers = 0;
IT* nnz_per_row_blocker = new IT[num_blockers]();
IT* nnz_per_col_blocker = static_cast<IT*>(operator new(sizeof(IT[num_blockers * num_blockers])));
IT* col_blocker_begin_ptr = static_cast<IT*>(operator new(sizeof(IT[num_blockers * num_blockers])));
IT* col_blocker_end_ptr = static_cast<IT*>(operator new(sizeof(IT[num_blockers * num_blockers])));
#pragma omp parallel for reduction(max : max_flops_in_col_blockers) reduction(+ : avg_flops_in_col_blockers)
for (IT i = 0; i < num_blockers * num_blockers; ++i) {
nnz_per_col_blocker[i] = 0;
col_blocker_begin_ptr[i] = 0;
col_blocker_end_ptr[i] = 0;
avg_flops_in_col_blockers += flop_groupby_col_blockers[i];
max_flops_in_col_blockers = max(max_flops_in_col_blockers, flop_groupby_col_blockers[i]);
}
TripleNode* sorting_buffer = static_cast<TripleNode*>(operator new(sizeof(TripleNode[max_flops_in_col_blockers * nthreads + 1])));
w2 = omp_get_wtime();
t_alloc += w2 - w1;
// cout << "max_flops_in_col_blockers " << max_flops_in_col_blockers << " avg_flops_in_col_blockers " << double(avg_flops_in_col_blockers) / (num_blockers * num_blockers) << endl;
w1 = omp_get_wtime();
// each thread handle a row partition
#pragma omp parallel
{
uint16_t thread_id = omp_get_thread_num();
#pragma omp for
for (uint16_t row_blocker_index = 0; row_blocker_index < num_blockers; ++row_blocker_index)
{
IT row_base_index = row_blocker_index * num_blockers;
initializeBlockerBoundary(flop_groupby_col_blockers + row_blocker_index * num_blockers, num_blockers, col_blocker_begin_ptr + row_base_index, col_blocker_end_ptr + row_base_index);
for (IT rowptr = row_blocker_begin_ptr[row_blocker_index]; rowptr < row_blocker_end_ptr[row_blocker_index]; ++rowptr)
{
uint16_t col_blocker_index = fast_mod(std::get<0>(global_blockers[rowptr]), nrows_per_blocker) / ncols_per_blocker;
IT local_blocker_size_offset = thread_id * num_blockers + col_blocker_index;
IT local_blocker_offset = local_blocker_size_offset * block_width;
local_blockers[local_blocker_offset + size_of_local_blockers[local_blocker_size_offset]++] = std::move(global_blockers[rowptr]);
if (size_of_local_blockers[local_blocker_size_offset] == block_width)
{
std::memcpy(
flop_space[row_blocker_index] + (col_blocker_end_ptr + row_base_index)[col_blocker_index],
local_blockers + local_blocker_offset,
block_width * sizeof(TripleNode)
);
(col_blocker_end_ptr + row_base_index)[col_blocker_index] += block_width;
size_of_local_blockers[local_blocker_size_offset] = 0;
}
}
for (uint16_t col_blocker_index = 0; col_blocker_index < num_blockers; col_blocker_index++)
{
IT local_blocker_size_offset = thread_id * num_blockers + col_blocker_index;
IT local_blocker_offset = local_blocker_size_offset * block_width;
std::memcpy(
flop_space[row_blocker_index] + (col_blocker_end_ptr + row_base_index)[col_blocker_index],
local_blockers + local_blocker_offset,
sizeof(TripleNode) * size_of_local_blockers[local_blocker_size_offset]
);
(col_blocker_end_ptr + row_base_index)[col_blocker_index] += size_of_local_blockers[local_blocker_size_offset];
size_of_local_blockers[local_blocker_size_offset] = 0;
}
}
}
w2 = omp_get_wtime();
t_pb2 += w2 - w1;
w1 = omp_get_wtime();
#pragma omp parallel
{
uint16_t thread_id = omp_get_thread_num();
#pragma omp for
for (uint16_t row_blocker_index = 0; row_blocker_index < num_blockers; ++row_blocker_index)
{
IT row_base_index = row_blocker_index * num_blockers;
for (uint16_t col_blocker_index = 0; col_blocker_index < num_blockers; col_blocker_index++)
{
doRadixSort(flop_space[row_blocker_index] + (col_blocker_begin_ptr + row_base_index)[col_blocker_index],
flop_space[row_blocker_index] + (col_blocker_end_ptr + row_base_index)[col_blocker_index],
sorting_buffer + thread_id * max_flops_in_col_blockers);
}
}
}
w2 = omp_get_wtime();
t_sort += w2 - w1;
w1 = omp_get_wtime();
#pragma omp parallel
{
uint16_t thread_id = omp_get_thread_num();
#pragma omp for
for (uint16_t row_blocker_index = 0; row_blocker_index < num_blockers; ++row_blocker_index)
{
IT row_base_index = row_blocker_index * num_blockers;
for (uint16_t col_blocker_index = 0; col_blocker_index < num_blockers; col_blocker_index++)
{
IT before = (col_blocker_end_ptr + row_base_index)[col_blocker_index] - (col_blocker_begin_ptr + row_base_index)[col_blocker_index];
IT after = doMerge(flop_space[row_blocker_index] + (col_blocker_begin_ptr + row_base_index)[col_blocker_index], before);
// col_blocker_end_ptr[col_blocker_index] = col_blocker_begin_ptr[col_blocker_index] + after;
nnz_per_row_blocker[row_blocker_index] += after;
nnz_per_col_blocker[row_blocker_index * num_blockers + col_blocker_index] = after;
__sync_fetch_and_add(&total_nnz, after);
}
} // outer-most row-wise for loop
} // outer-most parellel block
w2 = omp_get_wtime();
t_merge += w2 - w1;
w1 = omp_get_wtime();
IT *cumulative_colid_indices = new IT[num_blockers * num_blockers + 1]();
IT *cumulative_col_blocker_indices = new IT[num_blockers * num_blockers + 1]();
scan(nnz_per_col_blocker, cumulative_colid_indices, (IT)(num_blockers * num_blockers));
if (C.isEmpty())
{
C.make_empty();
}
C.rows = A.rows;
C.cols = B.cols;
C.colids = static_cast<IT*>(operator new(sizeof(IT[total_nnz])));
C.values = static_cast<NT*>(operator new(sizeof(NT[total_nnz])));
C.rowptr = static_cast<IT*>(operator new(sizeof(IT[C.rows + 1])));
C.rowptr[0] = 0;
#pragma omp parallel for
for (uint16_t row_blocker_index = 0; row_blocker_index < num_blockers; ++row_blocker_index)
for (uint16_t col_blocker_index = 0; col_blocker_index < num_blockers; col_blocker_index++)
{
scan(flop_groupby_col_blockers + row_blocker_index * num_blockers, cumulative_col_blocker_indices + row_blocker_index * num_blockers, (IT)(num_blockers));
IT base = cumulative_colid_indices[row_blocker_index * num_blockers + col_blocker_index];
auto space_addr = flop_space[row_blocker_index] + cumulative_col_blocker_indices[row_blocker_index * num_blockers + col_blocker_index];
for (IT index = 0; index < nnz_per_col_blocker[row_blocker_index * num_blockers + col_blocker_index]; ++index)
{
++nnz_by_row[std::get<0>(space_addr[index])];
C.colids[base + index] = std::get<1>(space_addr[index]);
C.values[base + index] = std::get<2>(space_addr[index]);
}
}
scan(nnz_by_row, C.rowptr, C.rows + 1);
C.nnz = total_nnz;
w2 = omp_get_wtime();
t_convert += w2 - w1;
w1 = omp_get_wtime();
my_free<TripleNode>(global_blockers);
my_free<TripleNode>(local_blockers);
my_free<IT>(size_of_local_blockers);
my_free<IT>(row_blocker_begin_ptr);
my_free<IT>(row_blocker_end_ptr);
my_free<IT>(flop_groupby_row_blockers);
my_free<IT>(flop_groupby_col_blockers);
my_free<IT>(nnz_by_row);
my_free<IT>(nnz_per_row_blocker);
my_free<IT>(nnz_per_col_blocker);
my_free<IT>(col_blocker_begin_ptr);
my_free<IT>(col_blocker_end_ptr);
my_free<IT>(cumulative_colid_indices);
my_free<IT>(cumulative_col_blocker_indices);
for (uint16_t row_blocker_index = 0; row_blocker_index < num_blockers; ++row_blocker_index)
my_free<TripleNode>(flop_space[row_blocker_index]);
w2 = omp_get_wtime();
t_free += w2 - w1;
}
template <typename IT, typename NT>
void OuterSpGEMM(const CSC<IT, NT>& A, const CSR<IT, NT>& B, CSR<IT, NT>& C, int nblockers, int nblockchars)
{
double t_symbolic = 0;
double t_pb1 = 0;
double t_pb2 = 0;
double t_sort = 0;
double t_merge = 0;
double t_convert = 0;
double t_alloc = 0;
double t_free = 0;
int niter = 5;
for (int i = 0; i < niter; ++i) {
OuterSpGEMM_stage(A, B, 0, A.rows, C, t_symbolic, t_pb1, t_pb2, t_sort, t_merge, t_convert, t_alloc, t_free, nblockers, nblockchars);
// cout << "Iter " << i << " Completed!" << endl;
}
cout << "symbolic took " << t_symbolic / niter << endl;
cout << "PB1 took " << t_pb1 / niter << endl;
cout << "PB2 took " << t_pb2 / niter << endl;
cout << "Sort took " << t_sort / niter << endl;
cout << "Merge took " << t_merge / niter << endl;
cout << "Convert took " << t_convert / niter << endl;
// cout << "Alloc took " << t_alloc / niter << endl;
// cout << "Free took " << t_free / niter << endl << endl;;
}
|
omp-matmat-three-parallel.c | /*****************************************************************************
Example : omp-matmat-three-parallel.c
Objective : Matrix - Matrix Multiplication using
OpenMP three PARALLEL for directive and Private Clause
Input : Size of Matrices(i.e Size of Matrix A and Matrix B) ie in terms of
CLASS where CLASS A :1024; CLASS B: 2048 and CLASS C: 4096
Number of Threads .
Output : Number of Threads
Total Memory Utilized for the Matrix - Matrix Computation
Total Time Taken for Matrix - Matrix Computaion.
Created :Aug 2011 .
Author : RarchK
*********************************************************************************/
#include <stdio.h>
#include <sys/time.h>
#include <omp.h>
#include <stdlib.h>
/* Function declaration */
double Matrix_Multiplication_Three(double **Matrix_A,double **Matrix_B,double **Result,int N_size,int Total_threads);
/* Main Program */
main(int argc , char * argv[])
{
int CLASS_SIZE,N_size, i,j,k,Total_threads,THREADS;
double Total_overhead = 0.0;
double **Matrix_A, **Matrix_B, **Result;
double memoryused=0.0;
int iteration;
FILE *fp;
char * CLASS;
printf("\n\t\t---------------------------------------------------------------------------");
printf("\n\t\t Email : RarchK");
printf("\n\t\t---------------------------------------------------------------------------");
printf("\n\t\t Objective : Dense Matrix Computations (Floating Point Operations)\n ");
printf("\n\t\t Matrix into Matrix Multiplication using ");
printf("\n\t\t OpenMP three PARALLEL for directive and Private Clause;");
printf("\n\t\t..........................................................................\n");
/* Checking for the command line arguments */
if( argc != 3 ){
printf("\t\t Very Few Arguments\n ");
printf("\t\t Syntax : exec <Class-Size> <Threads>\n");
printf("\t\t Where : Class-Size must be A or B or C \n");
exit(-1);
}
else {
CLASS = argv[1];
THREADS = atoi(argv[2]);
}
if( strcmp(CLASS, "A" )==0){
CLASS_SIZE = 1024;
}
else if( strcmp(CLASS, "B" )==0){
CLASS_SIZE = 2048;
}
else if( strcmp(CLASS, "C" )==0){
CLASS_SIZE = 4096;
}
else {
printf("\n\t\t Class-Size must be A or B or C \n");
exit(-1);
}
N_size = CLASS_SIZE;
Total_threads = THREADS;
printf("\n\t\t Matrix Size : %d",N_size);
printf("\n\t\t Threads : %d",Total_threads);
printf("\n");
/* Matrix_A Elements */
Matrix_A = (double **) malloc(sizeof(double *) * N_size);
for (i = 0; i < N_size; i++) {
Matrix_A[i] = (double *) malloc(sizeof(double) * N_size);
for (j = 0; j < N_size; j++)
{
// srand48((unsigned int)N_size);
// Matrix_A[i][j] = (double)(rand()%10);
Matrix_A[i][j] = i+j;
}
}
/* Matrix_B Elements */
Matrix_B = (double **) malloc(sizeof(double *) * N_size);
for (i = 0; i < N_size; i++) {
Matrix_B[i] = (double *) malloc(sizeof(double) * N_size);
for (j = 0; j < N_size; j++)
{
// srand48((unsigned int)N_size);
// Matrix_B[i][j] = (double)(rand()%10);
Matrix_B[i][j] = i+j;
}
}
/* Dynamic Memory Allocation */
Result = (double **) malloc(sizeof(double *) * N_size);
for (i = 0; i < N_size; i++)
Result[i] = (double *) malloc(sizeof(double) * N_size);
memoryused = (3*(N_size*N_size))*sizeof(double);
/* Function Calling */
Total_overhead = Matrix_Multiplication_Three(Matrix_A,Matrix_B,Result,N_size,Total_threads);
printf("\n\t\t Memory Utilized : %lf MB \n",(memoryused/(1024*1024)));
printf("\n\t\t Time in Seconds (T) : %lf Seconds \n",Total_overhead);
printf("\n\t\t ( T represents the Time taken for the computation )");
printf("\n\t\t..........................................................................\n");
/* Free Memory */
free(Matrix_A);
free(Matrix_B);
free(Result);
}/* Main function end */
/* Functions implementation */
double Matrix_Multiplication_Three(double **Matrix_A,double **Matrix_B,double **Result,int N_size,int Total_threads)
{
int i,j,k;
struct timeval TimeValue_Start;
struct timezone TimeZone_Start;
struct timeval TimeValue_Final;
struct timezone TimeZone_Final;
long time_start, time_end;
double time_overhead;
gettimeofday(&TimeValue_Start, &TimeZone_Start);
/* set the no. of threads */
omp_set_num_threads(Total_threads);
/* OpenMP Three For Directive :Fork a team of threads giving them their own copies of variables
* Spawn a parallel region explicitly scoping all variables
*/
#pragma omp parallel for private (j,k) shared (Matrix_A,Matrix_B,Result,N_size) num_threads(Total_threads)
for (i = 0; i < N_size; i = i + 1){
#pragma omp parallel for private(k) shared (Matrix_A,Matrix_B,Result,N_size) num_threads(Total_threads)
for (j = 0; j < N_size; j = j + 1){
Result[i][j]=0.0;
#pragma omp parallel for private(k) shared (Matrix_A,Matrix_B,Result,N_size) num_threads(Total_threads)
for (k = 0; k < N_size; k = k + 1)
Result[i][j] = Result[i][j] + Matrix_A[i][k] * Matrix_B[k][j];
}
}/* end of parallel section */
gettimeofday(&TimeValue_Final, &TimeZone_Final);
/* calculate the timing for the computation */
time_start = TimeValue_Start.tv_sec * 1000000 + TimeValue_Start.tv_usec;
time_end = TimeValue_Final.tv_sec * 1000000 + TimeValue_Final.tv_usec;
time_overhead = (time_end - time_start)/1000000.0;
printf("\n\t\t Matrix into Matrix Multiplication using three Parallel for pragma......Done \n");
return time_overhead;
}
|
devito-kernel-omp-trivial.c | #define _POSIX_C_SOURCE 200809L
#include "stdlib.h"
#include "math.h"
#include "sys/time.h"
#include "xmmintrin.h"
#include "pmmintrin.h"
struct dataobj
{
void *restrict data;
int * size;
int * npsize;
int * dsize;
int * hsize;
int * hofs;
int * oofs;
} ;
struct profiler
{
double section0;
} ;
int Kernel(struct dataobj *restrict v_vec, const int time_M, const int time_m, struct profiler * timers, const int x_M, const int x_m, const int y_M, const int y_m)
{
float (*restrict v)[v_vec->size[1]][v_vec->size[2]] __attribute__ ((aligned (64))) = (float (*)[v_vec->size[1]][v_vec->size[2]]) v_vec->data;
/* Flush denormal numbers to zero in hardware */
_MM_SET_DENORMALS_ZERO_MODE(_MM_DENORMALS_ZERO_ON);
_MM_SET_FLUSH_ZERO_MODE(_MM_FLUSH_ZERO_ON);
#pragma omp target data map(tofrom: v[time_m:time_M][x_m:x_M][y_m:y_M])
for (int time = time_m, t0 = (time)%(2), t1 = (time + 1)%(2); time <= time_M; time += 1, t0 = (time)%(2), t1 = (time + 1)%(2))
{
struct timeval start_section0, end_section0;
gettimeofday(&start_section0, NULL);
/* Begin section0 */
#pragma omp target
#pragma omp parallel for
for (int x = x_m; x <= x_M; x += 1)
{
for (int y = y_m; y <= y_M; y += 1)
{
v[t1][x + 1][y + 1] = v[t0][x + 1][y + 1] + 1;
}
}
/* 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;
}
return 0;
}
|
core_cgelqt.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/core_blas/core_zgelqt.c, normal z -> c, Fri Sep 28 17:38:20 2018
*
**/
#include <plasma_core_blas.h>
#include "plasma_types.h"
#include "plasma_internal.h"
#include "core_lapack.h"
#include <omp.h>
/***************************************************************************//**
*
* @ingroup core_gelqt
*
* Computes the LQ factorization of an m-by-n tile A:
* The factorization has the form
* \f[
* A = L \times Q
* \f]
* The tile Q is represented as a product of elementary reflectors
* \f[
* Q = H(k)^H . . . H(2)^H H(1)^H,
* \f]
* where \f$ k = min(m,n) \f$.
*
* Each \f$ H(i) \f$ has the form
* \f[
* H(i) = I - \tau \times v \times v^H
* \f]
* where \f$ tau \f$ is a scalar, and \f$ v \f$ is a vector with
* v(1:i-1) = 0 and v(i) = 1; v(i+1:n)^H is stored on exit in A(i,i+1:n),
* and \f$ tau \f$ in tau(i).
*
*******************************************************************************
*
* @param[in] m
* The number of rows of the tile A. m >= 0.
*
* @param[in] n
* The number of columns of the tile A. n >= 0.
*
* @param[in] ib
* The inner-blocking size. ib >= 0.
*
* @param[in,out] A
* On entry, the m-by-n tile A.
* On exit, the elements on and below the diagonal of the array
* contain the m-by-min(m,n) lower trapezoidal tile L (L is
* lower triangular if m <= n); the elements above the diagonal,
* with the array tau, represent the unitary tile Q as a
* product of elementary reflectors (see Further Details).
*
* @param[in] lda
* The leading dimension of the array A. lda >= max(1,m).
*
* @param[out] T
* The ib-by-m triangular factor T of the block reflector.
* T is upper triangular by block (economic storage);
* The rest of the array is not referenced.
*
* @param[in] ldt
* The leading dimension of the array T. ldt >= ib.
*
* @param tau
* Auxiliarry workspace array of length m.
*
* @param work
* Auxiliary workspace array of length ib*m.
*
* @param[in] lwork
* Size of the array work. Should be at least ib*m.
*
*******************************************************************************
*
* @retval PlasmaSuccess successful exit
* @retval < 0 if -i, the i-th argument had an illegal value
*
******************************************************************************/
__attribute__((weak))
int plasma_core_cgelqt(int m, int n, int ib,
plasma_complex32_t *A, int lda,
plasma_complex32_t *T, int ldt,
plasma_complex32_t *tau,
plasma_complex32_t *work)
{
// Check input arguments.
if (m < 0) {
plasma_coreblas_error("illegal value of m");
return -1;
}
if (n < 0) {
plasma_coreblas_error("illegal value of n");
return -2;
}
if ((ib < 0) || ( (ib == 0) && ((m > 0) && (n > 0)) )) {
plasma_coreblas_error("illegal value of ib");
return -3;
}
if (A == NULL) {
plasma_coreblas_error("NULL A");
return -4;
}
if (lda < imax(1, m) && m > 0) {
plasma_coreblas_error("illegal value of lda");
return -5;
}
if (T == NULL) {
plasma_coreblas_error("NULL T");
return -6;
}
if (ldt < imax(1,ib) && ib > 0) {
plasma_coreblas_error("illegal value of ldt");
return -7;
}
if (tau == NULL) {
plasma_coreblas_error("NULL tau");
return -8;
}
if (work == NULL) {
plasma_coreblas_error("NULL work");
return -9;
}
// quick return
if (m == 0 || n == 0 || ib == 0)
return PlasmaSuccess;
int k = imin(m, n);
for (int i = 0; i < k; i += ib) {
int sb = imin(ib, k-i);
LAPACKE_cgelq2_work(LAPACK_COL_MAJOR,
sb, n-i,
&A[lda*i+i], lda,
&tau[i], work);
LAPACKE_clarft_work(LAPACK_COL_MAJOR,
lapack_const(PlasmaForward),
lapack_const(PlasmaRowwise),
n-i, sb,
&A[lda*i+i], lda,
&tau[i],
&T[ldt*i], ldt);
if (m > i+sb) {
LAPACKE_clarfb_work(LAPACK_COL_MAJOR,
lapack_const(PlasmaRight),
lapack_const(PlasmaNoTrans),
lapack_const(PlasmaForward),
lapack_const(PlasmaRowwise),
m-i-sb, n-i, sb,
&A[lda*i+i], lda,
&T[ldt*i], ldt,
&A[lda*i+(i+sb)], lda,
work, m-i-sb);
}
}
return PlasmaSuccess;
}
/******************************************************************************/
void plasma_core_omp_cgelqt(int m, int n, int ib,
plasma_complex32_t *A, int lda,
plasma_complex32_t *T, int ldt,
plasma_workspace_t work,
plasma_sequence_t *sequence, plasma_request_t *request)
{
#pragma omp task depend(inout:A[0:lda*n]) \
depend(out:T[0:ib*m]) // T should be mxib, but is stored
// as ibxm
{
if (sequence->status == PlasmaSuccess) {
// Prepare workspaces.
int tid = omp_get_thread_num();
plasma_complex32_t *tau = (plasma_complex32_t*)work.spaces[tid];
// Call the kernel.
int info = plasma_core_cgelqt(m, n, ib,
A, lda,
T, ldt,
tau,
tau+m);
if (info != PlasmaSuccess) {
plasma_error("core_cgelqt() failed");
plasma_request_fail(sequence, request, PlasmaErrorInternal);
}
}
}
}
|
par_coarsen.c | /*BHEADER**********************************************************************
* Copyright (c) 2008, Lawrence Livermore National Security, LLC.
* Produced at the Lawrence Livermore National Laboratory.
* This file is part of HYPRE. See file COPYRIGHT for details.
*
* HYPRE is free software; you can redistribute it and/or modify it under the
* terms of the GNU Lesser General Public License (as published by the Free
* Software Foundation) version 2.1 dated February 1999.
*
* $Revision$
***********************************************************************EHEADER*/
/******************************************************************************
*
*****************************************************************************/
/* following should be in a header file */
#include "_hypre_parcsr_ls.h"
/*==========================================================================*/
/*==========================================================================*/
/**
Selects a coarse "grid" based on the graph of a matrix.
Notes:
\begin{itemize}
\item The underlying matrix storage scheme is a hypre_ParCSR matrix.
\item The routine returns the following:
\begin{itemize}
\item S - a ParCSR matrix representing the "strength matrix". This is
used in the "build interpolation" routine.
\item CF\_marker - an array indicating both C-pts (value = 1) and
F-pts (value = -1)
\end{itemize}
\item We define the following temporary storage:
\begin{itemize}
\item measure\_array - an array containing the "measures" for each
of the fine-grid points
\item graph\_array - an array containing the list of points in the
"current subgraph" being considered in the coarsening process.
\end{itemize}
\item The graph of the "strength matrix" for A is a subgraph of the
graph of A, but requires nonsymmetric storage even if A is
symmetric. This is because of the directional nature of the
"strengh of dependence" notion (see below). Since we are using
nonsymmetric storage for A right now, this is not a problem. If we
ever add the ability to store A symmetrically, then we could store
the strength graph as floats instead of doubles to save space.
\item This routine currently "compresses" the strength matrix. We
should consider the possibility of defining this matrix to have the
same "nonzero structure" as A. To do this, we could use the same
A\_i and A\_j arrays, and would need only define the S\_data array.
There are several pros and cons to discuss.
\end{itemize}
Terminology:
\begin{itemize}
\item Ruge's terminology: A point is "strongly connected to" $j$, or
"strongly depends on" $j$, if $-a_ij >= \theta max_{l != j} \{-a_il\}$.
\item Here, we retain some of this terminology, but with a more
generalized notion of "strength". We also retain the "natural"
graph notation for representing the directed graph of a matrix.
That is, the nonzero entry $a_ij$ is represented as: i --> j. In
the strength matrix, S, the entry $s_ij$ is also graphically denoted
as above, and means both of the following:
\begin{itemize}
\item $i$ "depends on" $j$ with "strength" $s_ij$
\item $j$ "influences" $i$ with "strength" $s_ij$
\end{itemize}
\end{itemize}
{\bf Input files:}
_hypre_parcsr_ls.h
@return Error code.
@param A [IN]
coefficient matrix
@param strength_threshold [IN]
threshold parameter used to define strength
@param S_ptr [OUT]
strength matrix
@param CF_marker_ptr [OUT]
array indicating C/F points
@see */
/*--------------------------------------------------------------------------*/
#define C_PT 1
#define F_PT -1
#define SF_PT -3
#define COMMON_C_PT 2
#define Z_PT -2
HYPRE_Int
hypre_BoomerAMGCoarsen( hypre_ParCSRMatrix *S,
hypre_ParCSRMatrix *A,
HYPRE_Int CF_init,
HYPRE_Int debug_flag,
HYPRE_Int **CF_marker_ptr)
{
MPI_Comm comm = hypre_ParCSRMatrixComm(S);
hypre_ParCSRCommPkg *comm_pkg = hypre_ParCSRMatrixCommPkg(S);
hypre_ParCSRCommHandle *comm_handle;
hypre_CSRMatrix *S_diag = hypre_ParCSRMatrixDiag(S);
HYPRE_Int *S_diag_i = hypre_CSRMatrixI(S_diag);
HYPRE_Int *S_diag_j = hypre_CSRMatrixJ(S_diag);
hypre_CSRMatrix *S_offd = hypre_ParCSRMatrixOffd(S);
HYPRE_Int *S_offd_i = hypre_CSRMatrixI(S_offd);
HYPRE_Int *S_offd_j = NULL;
HYPRE_Int *col_map_offd = hypre_ParCSRMatrixColMapOffd(S);
HYPRE_Int num_variables = hypre_CSRMatrixNumRows(S_diag);
HYPRE_Int col_1 = hypre_ParCSRMatrixFirstColDiag(S);
HYPRE_Int col_n = col_1 + hypre_CSRMatrixNumCols(S_diag);
HYPRE_Int num_cols_offd = 0;
hypre_CSRMatrix *S_ext;
HYPRE_Int *S_ext_i = NULL;
HYPRE_Int *S_ext_j = NULL;
HYPRE_Int num_sends = 0;
HYPRE_Int *int_buf_data;
HYPRE_Real *buf_data;
HYPRE_Int *CF_marker;
HYPRE_Int *CF_marker_offd;
HYPRE_Real *measure_array;
HYPRE_Int *graph_array;
HYPRE_Int *graph_array_offd;
HYPRE_Int graph_size;
HYPRE_Int graph_offd_size;
HYPRE_Int global_graph_size;
HYPRE_Int i, j, k, kc, jS, kS, ig, elmt;
HYPRE_Int index, start, my_id, num_procs, jrow, cnt;
HYPRE_Int ierr = 0;
HYPRE_Int use_commpkg_A = 0;
HYPRE_Int break_var = 1;
HYPRE_Real wall_time;
HYPRE_Int iter = 0;
#if 0 /* debugging */
char filename[256];
FILE *fp;
HYPRE_Int iter = 0;
#endif
/*--------------------------------------------------------------
* Compute a ParCSR strength matrix, S.
*
* For now, the "strength" of dependence/influence is defined in
* the following way: i depends on j if
* aij > hypre_max (k != i) aik, aii < 0
* or
* aij < hypre_min (k != i) aik, aii >= 0
* Then S_ij = 1, else S_ij = 0.
*
* NOTE: the entries are negative initially, corresponding
* to "unaccounted-for" dependence.
*----------------------------------------------------------------*/
S_ext = NULL;
if (debug_flag == 3) wall_time = time_getWallclockSeconds();
hypre_MPI_Comm_size(comm,&num_procs);
hypre_MPI_Comm_rank(comm,&my_id);
if (!comm_pkg)
{
use_commpkg_A = 1;
comm_pkg = hypre_ParCSRMatrixCommPkg(A);
}
if (!comm_pkg)
{
hypre_MatvecCommPkgCreate(A);
comm_pkg = hypre_ParCSRMatrixCommPkg(A);
}
num_sends = hypre_ParCSRCommPkgNumSends(comm_pkg);
int_buf_data = hypre_CTAlloc(HYPRE_Int, hypre_ParCSRCommPkgSendMapStart(comm_pkg,
num_sends));
buf_data = hypre_CTAlloc(HYPRE_Real, hypre_ParCSRCommPkgSendMapStart(comm_pkg,
num_sends));
num_cols_offd = hypre_CSRMatrixNumCols(S_offd);
S_diag_j = hypre_CSRMatrixJ(S_diag);
if (num_cols_offd)
{
S_offd_j = hypre_CSRMatrixJ(S_offd);
}
/*----------------------------------------------------------
* Compute the measures
*
* The measures are currently given by the column sums of S.
* Hence, measure_array[i] is the number of influences
* of variable i.
*
* The measures are augmented by a random number
* between 0 and 1.
*----------------------------------------------------------*/
measure_array = hypre_CTAlloc(HYPRE_Real, num_variables+num_cols_offd);
for (i=0; i < S_offd_i[num_variables]; i++)
{
measure_array[num_variables + S_offd_j[i]] += 1.0;
}
if (num_procs > 1)
comm_handle = hypre_ParCSRCommHandleCreate(2, comm_pkg,
&measure_array[num_variables], buf_data);
for (i=0; i < S_diag_i[num_variables]; i++)
{
measure_array[S_diag_j[i]] += 1.0;
}
if (num_procs > 1)
hypre_ParCSRCommHandleDestroy(comm_handle);
index = 0;
for (i=0; i < num_sends; i++)
{
start = hypre_ParCSRCommPkgSendMapStart(comm_pkg, i);
for (j=start; j < hypre_ParCSRCommPkgSendMapStart(comm_pkg, i+1); j++)
measure_array[hypre_ParCSRCommPkgSendMapElmt(comm_pkg,j)]
+= buf_data[index++];
}
for (i=num_variables; i < num_variables+num_cols_offd; i++)
{
measure_array[i] = 0;
}
/* this augments the measures */
if (CF_init == 2)
hypre_BoomerAMGIndepSetInit(S, measure_array, 1);
else
hypre_BoomerAMGIndepSetInit(S, measure_array, 0);
/*---------------------------------------------------
* Initialize the graph array
* graph_array contains interior points in elements 0 ... num_variables-1
* followed by boundary values
*---------------------------------------------------*/
graph_array = hypre_CTAlloc(HYPRE_Int, num_variables);
if (num_cols_offd)
graph_array_offd = hypre_CTAlloc(HYPRE_Int, num_cols_offd);
else
graph_array_offd = NULL;
/* initialize measure array and graph array */
for (ig = 0; ig < num_cols_offd; ig++)
graph_array_offd[ig] = ig;
/*---------------------------------------------------
* Initialize the C/F marker array
* C/F marker array contains interior points in elements 0 ...
* num_variables-1 followed by boundary values
*---------------------------------------------------*/
graph_offd_size = num_cols_offd;
if (CF_init==1)
{
CF_marker = *CF_marker_ptr;
cnt = 0;
for (i=0; i < num_variables; i++)
{
if ( (S_offd_i[i+1]-S_offd_i[i]) > 0
|| CF_marker[i] == -1)
{
CF_marker[i] = 0;
}
if ( CF_marker[i] == Z_PT)
{
if (measure_array[i] >= 1.0 ||
(S_diag_i[i+1]-S_diag_i[i]) > 0)
{
CF_marker[i] = 0;
graph_array[cnt++] = i;
}
else
{
CF_marker[i] = F_PT;
}
}
else if (CF_marker[i] == SF_PT)
measure_array[i] = 0;
else
graph_array[cnt++] = i;
}
}
else
{
CF_marker = hypre_CTAlloc(HYPRE_Int, num_variables);
cnt = 0;
for (i=0; i < num_variables; i++)
{
CF_marker[i] = 0;
if ( (S_diag_i[i+1]-S_diag_i[i]) == 0
&& (S_offd_i[i+1]-S_offd_i[i]) == 0)
{
CF_marker[i] = SF_PT;
measure_array[i] = 0;
}
else
graph_array[cnt++] = i;
}
}
graph_size = cnt;
if (num_cols_offd)
CF_marker_offd = hypre_CTAlloc(HYPRE_Int, num_cols_offd);
else
CF_marker_offd = NULL;
for (i=0; i < num_cols_offd; i++)
CF_marker_offd[i] = 0;
/*---------------------------------------------------
* Loop until all points are either fine or coarse.
*---------------------------------------------------*/
if (num_procs > 1)
{
if (use_commpkg_A)
S_ext = hypre_ParCSRMatrixExtractBExt(S,A,0);
else
S_ext = hypre_ParCSRMatrixExtractBExt(S,S,0);
S_ext_i = hypre_CSRMatrixI(S_ext);
S_ext_j = hypre_CSRMatrixJ(S_ext);
}
/* compress S_ext and convert column numbers*/
index = 0;
for (i=0; i < num_cols_offd; i++)
{
for (j=S_ext_i[i]; j < S_ext_i[i+1]; j++)
{
k = S_ext_j[j];
if (k >= col_1 && k < col_n)
{
S_ext_j[index++] = k - col_1;
}
else
{
kc = hypre_BinarySearch(col_map_offd,k,num_cols_offd);
if (kc > -1) S_ext_j[index++] = -kc-1;
}
}
S_ext_i[i] = index;
}
for (i = num_cols_offd; i > 0; i--)
S_ext_i[i] = S_ext_i[i-1];
if (num_procs > 1) S_ext_i[0] = 0;
if (debug_flag == 3)
{
wall_time = time_getWallclockSeconds() - wall_time;
hypre_printf("Proc = %d Initialize CLJP phase = %f\n",
my_id, wall_time);
}
while (1)
{
/*------------------------------------------------
* Exchange boundary data, i.i. get measures and S_ext_data
*------------------------------------------------*/
if (num_procs > 1)
comm_handle = hypre_ParCSRCommHandleCreate(2, comm_pkg,
&measure_array[num_variables], buf_data);
if (num_procs > 1)
hypre_ParCSRCommHandleDestroy(comm_handle);
index = 0;
for (i=0; i < num_sends; i++)
{
start = hypre_ParCSRCommPkgSendMapStart(comm_pkg, i);
for (j=start; j < hypre_ParCSRCommPkgSendMapStart(comm_pkg, i+1); j++)
measure_array[hypre_ParCSRCommPkgSendMapElmt(comm_pkg,j)]
+= buf_data[index++];
}
/*------------------------------------------------
* Set F-pts and update subgraph
*------------------------------------------------*/
if (iter || (CF_init != 1))
{
for (ig = 0; ig < graph_size; ig++)
{
i = graph_array[ig];
if ( (CF_marker[i] != C_PT) && (measure_array[i] < 1) )
{
/* set to be an F-pt */
CF_marker[i] = F_PT;
/* make sure all dependencies have been accounted for */
for (jS = S_diag_i[i]; jS < S_diag_i[i+1]; jS++)
{
if (S_diag_j[jS] > -1)
{
CF_marker[i] = 0;
}
}
for (jS = S_offd_i[i]; jS < S_offd_i[i+1]; jS++)
{
if (S_offd_j[jS] > -1)
{
CF_marker[i] = 0;
}
}
}
if (CF_marker[i])
{
measure_array[i] = 0;
/* take point out of the subgraph */
graph_size--;
graph_array[ig] = graph_array[graph_size];
graph_array[graph_size] = i;
ig--;
}
}
}
/*------------------------------------------------
* Exchange boundary data, i.i. get measures
*------------------------------------------------*/
if (debug_flag == 3) wall_time = time_getWallclockSeconds();
index = 0;
for (i = 0; i < num_sends; i++)
{
start = hypre_ParCSRCommPkgSendMapStart(comm_pkg, i);
for (j = start; j < hypre_ParCSRCommPkgSendMapStart(comm_pkg, i+1); j++)
{
jrow = hypre_ParCSRCommPkgSendMapElmt(comm_pkg,j);
buf_data[index++] = measure_array[jrow];
}
}
if (num_procs > 1)
{
comm_handle = hypre_ParCSRCommHandleCreate(1, comm_pkg, buf_data,
&measure_array[num_variables]);
hypre_ParCSRCommHandleDestroy(comm_handle);
}
/*------------------------------------------------
* Debugging:
*
* Uncomment the sections of code labeled
* "debugging" to generate several files that
* can be visualized using the `coarsen.m'
* matlab routine.
*------------------------------------------------*/
#if 0 /* debugging */
/* print out measures */
hypre_sprintf(filename, "coarsen.out.measures.%04d", iter);
fp = fopen(filename, "w");
for (i = 0; i < num_variables; i++)
{
hypre_fprintf(fp, "%f\n", measure_array[i]);
}
fclose(fp);
/* print out strength matrix */
hypre_sprintf(filename, "coarsen.out.strength.%04d", iter);
hypre_CSRMatrixPrint(S, filename);
/* print out C/F marker */
hypre_sprintf(filename, "coarsen.out.CF.%04d", iter);
fp = fopen(filename, "w");
for (i = 0; i < num_variables; i++)
{
hypre_fprintf(fp, "%d\n", CF_marker[i]);
}
fclose(fp);
iter++;
#endif
/*------------------------------------------------
* Test for convergence
*------------------------------------------------*/
hypre_MPI_Allreduce(&graph_size,&global_graph_size,1,HYPRE_MPI_INT,hypre_MPI_SUM,comm);
if (global_graph_size == 0)
break;
/*------------------------------------------------
* Pick an independent set of points with
* maximal measure.
*------------------------------------------------*/
if (iter || (CF_init != 1))
{
hypre_BoomerAMGIndepSet(S, measure_array, graph_array,
graph_size,
graph_array_offd, graph_offd_size,
CF_marker, CF_marker_offd);
if (num_procs > 1)
{
comm_handle = hypre_ParCSRCommHandleCreate(12, comm_pkg,
CF_marker_offd, int_buf_data);
hypre_ParCSRCommHandleDestroy(comm_handle);
}
index = 0;
for (i = 0; i < num_sends; i++)
{
start = hypre_ParCSRCommPkgSendMapStart(comm_pkg, i);
for (j=start; j < hypre_ParCSRCommPkgSendMapStart(comm_pkg,i+1);j++) {
elmt = hypre_ParCSRCommPkgSendMapElmt(comm_pkg,j);
if (!int_buf_data[index++] && CF_marker[elmt] > 0)
{
CF_marker[elmt] = 0;
}
}
}
}
iter++;
/*------------------------------------------------
* Exchange boundary data for CF_marker
*------------------------------------------------*/
index = 0;
for (i = 0; i < num_sends; i++)
{
start = hypre_ParCSRCommPkgSendMapStart(comm_pkg, i);
for (j = start; j < hypre_ParCSRCommPkgSendMapStart(comm_pkg, i+1); j++)
{
elmt = hypre_ParCSRCommPkgSendMapElmt(comm_pkg,j);
int_buf_data[index++] = CF_marker[elmt];
}
}
if (num_procs > 1)
{
comm_handle = hypre_ParCSRCommHandleCreate(11, comm_pkg, int_buf_data,
CF_marker_offd);
hypre_ParCSRCommHandleDestroy(comm_handle);
}
for (ig = 0; ig < graph_offd_size; ig++)
{
i = graph_array_offd[ig];
if (CF_marker_offd[i] < 0)
{
/* take point out of the subgraph */
graph_offd_size--;
graph_array_offd[ig] = graph_array_offd[graph_offd_size];
graph_array_offd[graph_offd_size] = i;
ig--;
}
}
if (debug_flag == 3)
{
wall_time = time_getWallclockSeconds() - wall_time;
hypre_printf("Proc = %d iter %d comm. and subgraph update = %f\n",
my_id, iter, wall_time);
}
/*------------------------------------------------
* Set C_pts and apply heuristics.
*------------------------------------------------*/
for (i=num_variables; i < num_variables+num_cols_offd; i++)
{
measure_array[i] = 0;
}
if (debug_flag == 3) wall_time = time_getWallclockSeconds();
for (ig = 0; ig < graph_size; ig++)
{
i = graph_array[ig];
/*---------------------------------------------
* Heuristic: C-pts don't interpolate from
* neighbors that influence them.
*---------------------------------------------*/
if (CF_marker[i] > 0)
{
/* set to be a C-pt */
CF_marker[i] = C_PT;
for (jS = S_diag_i[i]; jS < S_diag_i[i+1]; jS++)
{
j = S_diag_j[jS];
if (j > -1)
{
/* "remove" edge from S */
S_diag_j[jS] = -S_diag_j[jS]-1;
/* decrement measures of unmarked neighbors */
if (!CF_marker[j])
{
measure_array[j]--;
}
}
}
for (jS = S_offd_i[i]; jS < S_offd_i[i+1]; jS++)
{
j = S_offd_j[jS];
if (j > -1)
{
/* "remove" edge from S */
S_offd_j[jS] = -S_offd_j[jS]-1;
/* decrement measures of unmarked neighbors */
if (!CF_marker_offd[j])
{
measure_array[j+num_variables]--;
}
}
}
}
else
{
/* marked dependencies */
for (jS = S_diag_i[i]; jS < S_diag_i[i+1]; jS++)
{
j = S_diag_j[jS];
if (j < 0) j = -j-1;
if (CF_marker[j] > 0)
{
if (S_diag_j[jS] > -1)
{
/* "remove" edge from S */
S_diag_j[jS] = -S_diag_j[jS]-1;
}
/* IMPORTANT: consider all dependencies */
/* temporarily modify CF_marker */
CF_marker[j] = COMMON_C_PT;
}
else if (CF_marker[j] == SF_PT)
{
if (S_diag_j[jS] > -1)
{
/* "remove" edge from S */
S_diag_j[jS] = -S_diag_j[jS]-1;
}
}
}
for (jS = S_offd_i[i]; jS < S_offd_i[i+1]; jS++)
{
j = S_offd_j[jS];
if (j < 0) j = -j-1;
if (CF_marker_offd[j] > 0)
{
if (S_offd_j[jS] > -1)
{
/* "remove" edge from S */
S_offd_j[jS] = -S_offd_j[jS]-1;
}
/* IMPORTANT: consider all dependencies */
/* temporarily modify CF_marker */
CF_marker_offd[j] = COMMON_C_PT;
}
else if (CF_marker_offd[j] == SF_PT)
{
if (S_offd_j[jS] > -1)
{
/* "remove" edge from S */
S_offd_j[jS] = -S_offd_j[jS]-1;
}
}
}
/* unmarked dependencies */
for (jS = S_diag_i[i]; jS < S_diag_i[i+1]; jS++)
{
if (S_diag_j[jS] > -1)
{
j = S_diag_j[jS];
break_var = 1;
/* check for common C-pt */
for (kS = S_diag_i[j]; kS < S_diag_i[j+1]; kS++)
{
k = S_diag_j[kS];
if (k < 0) k = -k-1;
/* IMPORTANT: consider all dependencies */
if (CF_marker[k] == COMMON_C_PT)
{
/* "remove" edge from S and update measure*/
S_diag_j[jS] = -S_diag_j[jS]-1;
measure_array[j]--;
break_var = 0;
break;
}
}
if (break_var)
{
for (kS = S_offd_i[j]; kS < S_offd_i[j+1]; kS++)
{
k = S_offd_j[kS];
if (k < 0) k = -k-1;
/* IMPORTANT: consider all dependencies */
if ( CF_marker_offd[k] == COMMON_C_PT)
{
/* "remove" edge from S and update measure*/
S_diag_j[jS] = -S_diag_j[jS]-1;
measure_array[j]--;
break;
}
}
}
}
}
for (jS = S_offd_i[i]; jS < S_offd_i[i+1]; jS++)
{
if (S_offd_j[jS] > -1)
{
j = S_offd_j[jS];
/* check for common C-pt */
for (kS = S_ext_i[j]; kS < S_ext_i[j+1]; kS++)
{
k = S_ext_j[kS];
if (k >= 0)
{
/* IMPORTANT: consider all dependencies */
if (CF_marker[k] == COMMON_C_PT)
{
/* "remove" edge from S and update measure*/
S_offd_j[jS] = -S_offd_j[jS]-1;
measure_array[j+num_variables]--;
break;
}
}
else
{
kc = -k-1;
if (kc > -1 && CF_marker_offd[kc] == COMMON_C_PT)
{
/* "remove" edge from S and update measure*/
S_offd_j[jS] = -S_offd_j[jS]-1;
measure_array[j+num_variables]--;
break;
}
}
}
}
}
}
/* reset CF_marker */
for (jS = S_diag_i[i]; jS < S_diag_i[i+1]; jS++)
{
j = S_diag_j[jS];
if (j < 0) j = -j-1;
if (CF_marker[j] == COMMON_C_PT)
{
CF_marker[j] = C_PT;
}
}
for (jS = S_offd_i[i]; jS < S_offd_i[i+1]; jS++)
{
j = S_offd_j[jS];
if (j < 0) j = -j-1;
if (CF_marker_offd[j] == COMMON_C_PT)
{
CF_marker_offd[j] = C_PT;
}
}
}
if (debug_flag == 3)
{
wall_time = time_getWallclockSeconds() - wall_time;
hypre_printf("Proc = %d CLJP phase = %f graph_size = %d nc_offd = %d\n",
my_id, wall_time, graph_size, num_cols_offd);
}
}
/*---------------------------------------------------
* Clean up and return
*---------------------------------------------------*/
/* Reset S_matrix */
for (i=0; i < S_diag_i[num_variables]; i++)
{
if (S_diag_j[i] < 0)
S_diag_j[i] = -S_diag_j[i]-1;
}
for (i=0; i < S_offd_i[num_variables]; i++)
{
if (S_offd_j[i] < 0)
S_offd_j[i] = -S_offd_j[i]-1;
}
/*for (i=0; i < num_variables; i++)
if (CF_marker[i] == SF_PT) CF_marker[i] = F_PT;*/
hypre_TFree(measure_array);
hypre_TFree(graph_array);
if (num_cols_offd) hypre_TFree(graph_array_offd);
hypre_TFree(buf_data);
hypre_TFree(int_buf_data);
hypre_TFree(CF_marker_offd);
if (num_procs > 1) hypre_CSRMatrixDestroy(S_ext);
*CF_marker_ptr = CF_marker;
return (ierr);
}
/*==========================================================================
* Ruge's coarsening algorithm
*==========================================================================*/
#define C_PT 1
#define F_PT -1
#define Z_PT -2
#define SF_PT -3 /* special fine points */
#define SC_PT 3 /* special coarse points */
#define UNDECIDED 0
/**************************************************************
*
* Ruge Coarsening routine
*
**************************************************************/
HYPRE_Int
hypre_BoomerAMGCoarsenRuge( hypre_ParCSRMatrix *S,
hypre_ParCSRMatrix *A,
HYPRE_Int measure_type,
HYPRE_Int coarsen_type,
HYPRE_Int debug_flag,
HYPRE_Int **CF_marker_ptr)
{
MPI_Comm comm = hypre_ParCSRMatrixComm(S);
hypre_ParCSRCommPkg *comm_pkg = hypre_ParCSRMatrixCommPkg(S);
hypre_ParCSRCommHandle *comm_handle;
hypre_CSRMatrix *S_diag = hypre_ParCSRMatrixDiag(S);
hypre_CSRMatrix *S_offd = hypre_ParCSRMatrixOffd(S);
HYPRE_Int *S_i = hypre_CSRMatrixI(S_diag);
HYPRE_Int *S_j = hypre_CSRMatrixJ(S_diag);
HYPRE_Int *S_offd_i = hypre_CSRMatrixI(S_offd);
HYPRE_Int *S_offd_j = NULL;
HYPRE_Int num_variables = hypre_CSRMatrixNumRows(S_diag);
HYPRE_Int num_cols_offd = hypre_CSRMatrixNumCols(S_offd);
HYPRE_Int *col_map_offd = hypre_ParCSRMatrixColMapOffd(S);
hypre_CSRMatrix *S_ext = NULL;
HYPRE_Int *S_ext_i = NULL;
HYPRE_Int *S_ext_j = NULL;
hypre_CSRMatrix *ST;
HYPRE_Int *ST_i;
HYPRE_Int *ST_j;
HYPRE_Int *CF_marker;
HYPRE_Int *CF_marker_offd = NULL;
HYPRE_Int ci_tilde = -1;
HYPRE_Int ci_tilde_mark = -1;
HYPRE_Int ci_tilde_offd = -1;
HYPRE_Int ci_tilde_offd_mark = -1;
HYPRE_Int *measure_array;
HYPRE_Int *graph_array;
HYPRE_Int *int_buf_data = NULL;
HYPRE_Int *ci_array = NULL;
HYPRE_Int i, j, k, jS;
HYPRE_Int ji, jj, jk, jm, index;
HYPRE_Int set_empty = 1;
HYPRE_Int C_i_nonempty = 0;
HYPRE_Int num_nonzeros;
HYPRE_Int num_procs, my_id;
HYPRE_Int num_sends = 0;
HYPRE_Int first_col, start;
HYPRE_Int col_0, col_n;
hypre_LinkList LoL_head;
hypre_LinkList LoL_tail;
HYPRE_Int *lists, *where;
HYPRE_Int measure, new_meas;
HYPRE_Int meas_type = 0;
HYPRE_Int agg_2 = 0;
HYPRE_Int num_left, elmt;
HYPRE_Int nabor, nabor_two;
HYPRE_Int ierr = 0;
HYPRE_Int use_commpkg_A = 0;
HYPRE_Int break_var = 0;
HYPRE_Int f_pnt = F_PT;
HYPRE_Real wall_time;
if (coarsen_type < 0) coarsen_type = -coarsen_type;
if (measure_type == 1 || measure_type == 4) meas_type = 1;
if (measure_type == 4 || measure_type == 3) agg_2 = 1;
/*-------------------------------------------------------
* Initialize the C/F marker, LoL_head, LoL_tail arrays
*-------------------------------------------------------*/
LoL_head = NULL;
LoL_tail = NULL;
lists = hypre_CTAlloc(HYPRE_Int, num_variables);
where = hypre_CTAlloc(HYPRE_Int, num_variables);
#if 0 /* debugging */
char filename[256];
FILE *fp;
HYPRE_Int iter = 0;
#endif
/*--------------------------------------------------------------
* Compute a CSR strength matrix, S.
*
* For now, the "strength" of dependence/influence is defined in
* the following way: i depends on j if
* aij > hypre_max (k != i) aik, aii < 0
* or
* aij < hypre_min (k != i) aik, aii >= 0
* Then S_ij = 1, else S_ij = 0.
*
* NOTE: the entries are negative initially, corresponding
* to "unaccounted-for" dependence.
*----------------------------------------------------------------*/
if (debug_flag == 3) wall_time = time_getWallclockSeconds();
first_col = hypre_ParCSRMatrixFirstColDiag(S);
col_0 = first_col-1;
col_n = col_0+num_variables;
hypre_MPI_Comm_size(comm,&num_procs);
hypre_MPI_Comm_rank(comm,&my_id);
if (!comm_pkg)
{
use_commpkg_A = 1;
comm_pkg = hypre_ParCSRMatrixCommPkg(A);
}
if (!comm_pkg)
{
hypre_MatvecCommPkgCreate(A);
comm_pkg = hypre_ParCSRMatrixCommPkg(A);
}
num_sends = hypre_ParCSRCommPkgNumSends(comm_pkg);
if (num_cols_offd) S_offd_j = hypre_CSRMatrixJ(S_offd);
jS = S_i[num_variables];
ST = hypre_CSRMatrixCreate(num_variables, num_variables, jS);
ST_i = hypre_CTAlloc(HYPRE_Int,num_variables+1);
ST_j = hypre_CTAlloc(HYPRE_Int,jS);
hypre_CSRMatrixI(ST) = ST_i;
hypre_CSRMatrixJ(ST) = ST_j;
/*----------------------------------------------------------
* generate transpose of S, ST
*----------------------------------------------------------*/
for (i=0; i <= num_variables; i++)
ST_i[i] = 0;
for (i=0; i < jS; i++)
{
ST_i[S_j[i]+1]++;
}
for (i=0; i < num_variables; i++)
{
ST_i[i+1] += ST_i[i];
}
for (i=0; i < num_variables; i++)
{
for (j=S_i[i]; j < S_i[i+1]; j++)
{
index = S_j[j];
ST_j[ST_i[index]] = i;
ST_i[index]++;
}
}
for (i = num_variables; i > 0; i--)
{
ST_i[i] = ST_i[i-1];
}
ST_i[0] = 0;
/*----------------------------------------------------------
* Compute the measures
*
* The measures are given by the row sums of ST.
* Hence, measure_array[i] is the number of influences
* of variable i.
* correct actual measures through adding influences from
* neighbor processors
*----------------------------------------------------------*/
measure_array = hypre_CTAlloc(HYPRE_Int, num_variables);
for (i = 0; i < num_variables; i++)
{
measure_array[i] = ST_i[i+1]-ST_i[i];
}
/* special case for Falgout coarsening */
if (coarsen_type == 6)
{
f_pnt = Z_PT;
coarsen_type = 1;
}
if (coarsen_type == 10)
{
f_pnt = Z_PT;
coarsen_type = 11;
}
if ((meas_type || (coarsen_type != 1 && coarsen_type != 11))
&& num_procs > 1)
{
if (use_commpkg_A)
S_ext = hypre_ParCSRMatrixExtractBExt(S,A,0);
else
S_ext = hypre_ParCSRMatrixExtractBExt(S,S,0);
S_ext_i = hypre_CSRMatrixI(S_ext);
S_ext_j = hypre_CSRMatrixJ(S_ext);
num_nonzeros = S_ext_i[num_cols_offd];
/*first_col = hypre_ParCSRMatrixFirstColDiag(S);
col_0 = first_col-1;
col_n = col_0+num_variables; */
if (meas_type)
{
for (i=0; i < num_nonzeros; i++)
{
index = S_ext_j[i] - first_col;
if (index > -1 && index < num_variables)
measure_array[index]++;
}
}
}
/*---------------------------------------------------
* Loop until all points are either fine or coarse.
*---------------------------------------------------*/
if (debug_flag == 3) wall_time = time_getWallclockSeconds();
/* first coarsening phase */
/*************************************************************
*
* Initialize the lists
*
*************************************************************/
CF_marker = hypre_CTAlloc(HYPRE_Int, num_variables);
num_left = 0;
for (j = 0; j < num_variables; j++)
{
if ((S_i[j+1]-S_i[j])== 0 &&
(S_offd_i[j+1]-S_offd_i[j]) == 0)
{
CF_marker[j] = SF_PT;
if (agg_2) CF_marker[j] = SC_PT;
measure_array[j] = 0;
}
else
{
CF_marker[j] = UNDECIDED;
num_left++;
}
}
for (j = 0; j < num_variables; j++)
{
measure = measure_array[j];
if (CF_marker[j] != SF_PT && CF_marker[j] != SC_PT)
{
if (measure > 0)
{
hypre_enter_on_lists(&LoL_head, &LoL_tail, measure, j, lists, where);
}
else
{
if (measure < 0) hypre_printf("negative measure!\n");
CF_marker[j] = f_pnt;
for (k = S_i[j]; k < S_i[j+1]; k++)
{
nabor = S_j[k];
if (CF_marker[nabor] != SF_PT && CF_marker[nabor] != SC_PT)
{
if (nabor < j)
{
new_meas = measure_array[nabor];
if (new_meas > 0)
hypre_remove_point(&LoL_head, &LoL_tail, new_meas,
nabor, lists, where);
new_meas = ++(measure_array[nabor]);
hypre_enter_on_lists(&LoL_head, &LoL_tail, new_meas,
nabor, lists, where);
}
else
{
new_meas = ++(measure_array[nabor]);
}
}
}
--num_left;
}
}
}
/****************************************************************
*
* Main loop of Ruge-Stueben first coloring pass.
*
* WHILE there are still points to classify DO:
* 1) find first point, i, on list with max_measure
* make i a C-point, remove it from the lists
* 2) For each point, j, in S_i^T,
* a) Set j to be an F-point
* b) For each point, k, in S_j
* move k to the list in LoL with measure one
* greater than it occupies (creating new LoL
* entry if necessary)
* 3) For each point, j, in S_i,
* move j to the list in LoL with measure one
* smaller than it occupies (creating new LoL
* entry if necessary)
*
****************************************************************/
while (num_left > 0)
{
index = LoL_head -> head;
CF_marker[index] = C_PT;
measure = measure_array[index];
measure_array[index] = 0;
--num_left;
hypre_remove_point(&LoL_head, &LoL_tail, measure, index, lists, where);
for (j = ST_i[index]; j < ST_i[index+1]; j++)
{
nabor = ST_j[j];
if (CF_marker[nabor] == UNDECIDED)
{
CF_marker[nabor] = F_PT;
measure = measure_array[nabor];
hypre_remove_point(&LoL_head, &LoL_tail, measure, nabor, lists, where);
--num_left;
for (k = S_i[nabor]; k < S_i[nabor+1]; k++)
{
nabor_two = S_j[k];
if (CF_marker[nabor_two] == UNDECIDED)
{
measure = measure_array[nabor_two];
hypre_remove_point(&LoL_head, &LoL_tail, measure,
nabor_two, lists, where);
new_meas = ++(measure_array[nabor_two]);
hypre_enter_on_lists(&LoL_head, &LoL_tail, new_meas,
nabor_two, lists, where);
}
}
}
}
for (j = S_i[index]; j < S_i[index+1]; j++)
{
nabor = S_j[j];
if (CF_marker[nabor] == UNDECIDED)
{
measure = measure_array[nabor];
hypre_remove_point(&LoL_head, &LoL_tail, measure, nabor, lists, where);
measure_array[nabor] = --measure;
if (measure > 0)
hypre_enter_on_lists(&LoL_head, &LoL_tail, measure, nabor,
lists, where);
else
{
CF_marker[nabor] = F_PT;
--num_left;
for (k = S_i[nabor]; k < S_i[nabor+1]; k++)
{
nabor_two = S_j[k];
if (CF_marker[nabor_two] == UNDECIDED)
{
new_meas = measure_array[nabor_two];
hypre_remove_point(&LoL_head, &LoL_tail, new_meas,
nabor_two, lists, where);
new_meas = ++(measure_array[nabor_two]);
hypre_enter_on_lists(&LoL_head, &LoL_tail, new_meas,
nabor_two, lists, where);
}
}
}
}
}
}
hypre_TFree(measure_array);
hypre_CSRMatrixDestroy(ST);
if (debug_flag == 3)
{
wall_time = time_getWallclockSeconds() - wall_time;
hypre_printf("Proc = %d Coarsen 1st pass = %f\n",
my_id, wall_time);
}
hypre_TFree(lists);
hypre_TFree(where);
hypre_TFree(LoL_head);
hypre_TFree(LoL_tail);
for (i=0; i < num_variables; i++)
if (CF_marker[i] == SC_PT) CF_marker[i] = C_PT;
if (coarsen_type == 11)
{
*CF_marker_ptr = CF_marker;
if (meas_type && num_procs > 1)
hypre_CSRMatrixDestroy(S_ext);
return 0;
}
/* second pass, check fine points for coarse neighbors
for coarsen_type = 2, the second pass includes
off-processore boundary points */
/*---------------------------------------------------
* Initialize the graph array
*---------------------------------------------------*/
graph_array = hypre_CTAlloc(HYPRE_Int, num_variables);
for (i = 0; i < num_variables; i++)
{
graph_array[i] = -1;
}
if (debug_flag == 3) wall_time = time_getWallclockSeconds();
if (coarsen_type == 2)
{
/*------------------------------------------------
* Exchange boundary data for CF_marker
*------------------------------------------------*/
CF_marker_offd = hypre_CTAlloc(HYPRE_Int, num_cols_offd);
int_buf_data = hypre_CTAlloc(HYPRE_Int, hypre_ParCSRCommPkgSendMapStart(comm_pkg,
num_sends));
index = 0;
for (i = 0; i < num_sends; i++)
{
start = hypre_ParCSRCommPkgSendMapStart(comm_pkg, i);
for (j = start; j < hypre_ParCSRCommPkgSendMapStart(comm_pkg, i+1); j++)
int_buf_data[index++]
= CF_marker[hypre_ParCSRCommPkgSendMapElmt(comm_pkg,j)];
}
if (num_procs > 1)
{
comm_handle = hypre_ParCSRCommHandleCreate(11, comm_pkg, int_buf_data,
CF_marker_offd);
hypre_ParCSRCommHandleDestroy(comm_handle);
}
ci_array = hypre_CTAlloc(HYPRE_Int,num_cols_offd);
for (i=0; i < num_cols_offd; i++)
ci_array[i] = -1;
for (i=0; i < num_variables; i++)
{
if (ci_tilde_mark != i) ci_tilde = -1;
if (ci_tilde_offd_mark != i) ci_tilde_offd = -1;
if (CF_marker[i] == -1)
{
break_var = 1;
for (ji = S_i[i]; ji < S_i[i+1]; ji++)
{
j = S_j[ji];
if (CF_marker[j] > 0)
graph_array[j] = i;
}
for (ji = S_offd_i[i]; ji < S_offd_i[i+1]; ji++)
{
j = S_offd_j[ji];
if (CF_marker_offd[j] > 0)
ci_array[j] = i;
}
for (ji = S_i[i]; ji < S_i[i+1]; ji++)
{
j = S_j[ji];
if (CF_marker[j] == -1)
{
set_empty = 1;
for (jj = S_i[j]; jj < S_i[j+1]; jj++)
{
index = S_j[jj];
if (graph_array[index] == i)
{
set_empty = 0;
break;
}
}
if (set_empty)
{
for (jj = S_offd_i[j]; jj < S_offd_i[j+1]; jj++)
{
index = S_offd_j[jj];
if (ci_array[index] == i)
{
set_empty = 0;
break;
}
}
}
if (set_empty)
{
if (C_i_nonempty)
{
CF_marker[i] = 1;
if (ci_tilde > -1)
{
CF_marker[ci_tilde] = -1;
ci_tilde = -1;
}
if (ci_tilde_offd > -1)
{
CF_marker_offd[ci_tilde_offd] = -1;
ci_tilde_offd = -1;
}
C_i_nonempty = 0;
break_var = 0;
break;
}
else
{
ci_tilde = j;
ci_tilde_mark = i;
CF_marker[j] = 1;
C_i_nonempty = 1;
i--;
break_var = 0;
break;
}
}
}
}
if (break_var)
{
for (ji = S_offd_i[i]; ji < S_offd_i[i+1]; ji++)
{
j = S_offd_j[ji];
if (CF_marker_offd[j] == -1)
{
set_empty = 1;
for (jj = S_ext_i[j]; jj < S_ext_i[j+1]; jj++)
{
index = S_ext_j[jj];
if (index > col_0 && index < col_n) /* index interior */
{
if (graph_array[index-first_col] == i)
{
set_empty = 0;
break;
}
}
else
{
jk = hypre_BinarySearch(col_map_offd,index,num_cols_offd);
if (jk != -1)
{
if (ci_array[jk] == i)
{
set_empty = 0;
break;
}
}
}
}
if (set_empty)
{
if (C_i_nonempty)
{
CF_marker[i] = 1;
if (ci_tilde > -1)
{
CF_marker[ci_tilde] = -1;
ci_tilde = -1;
}
if (ci_tilde_offd > -1)
{
CF_marker_offd[ci_tilde_offd] = -1;
ci_tilde_offd = -1;
}
C_i_nonempty = 0;
break;
}
else
{
ci_tilde_offd = j;
ci_tilde_offd_mark = i;
CF_marker_offd[j] = 1;
C_i_nonempty = 1;
i--;
break;
}
}
}
}
}
}
}
}
else
{
for (i=0; i < num_variables; i++)
{
if (ci_tilde_mark != i) ci_tilde = -1;
if (CF_marker[i] == -1)
{
for (ji = S_i[i]; ji < S_i[i+1]; ji++)
{
j = S_j[ji];
if (CF_marker[j] > 0)
graph_array[j] = i;
}
for (ji = S_i[i]; ji < S_i[i+1]; ji++)
{
j = S_j[ji];
if (CF_marker[j] == -1)
{
set_empty = 1;
for (jj = S_i[j]; jj < S_i[j+1]; jj++)
{
index = S_j[jj];
if (graph_array[index] == i)
{
set_empty = 0;
break;
}
}
if (set_empty)
{
if (C_i_nonempty)
{
CF_marker[i] = 1;
if (ci_tilde > -1)
{
CF_marker[ci_tilde] = -1;
ci_tilde = -1;
}
C_i_nonempty = 0;
break;
}
else
{
ci_tilde = j;
ci_tilde_mark = i;
CF_marker[j] = 1;
C_i_nonempty = 1;
i--;
break;
}
}
}
}
}
}
}
if (debug_flag == 3 && coarsen_type != 2)
{
wall_time = time_getWallclockSeconds() - wall_time;
hypre_printf("Proc = %d Coarsen 2nd pass = %f\n",
my_id, wall_time);
}
/* third pass, check boundary fine points for coarse neighbors */
if (coarsen_type == 3 || coarsen_type == 4)
{
if (debug_flag == 3) wall_time = time_getWallclockSeconds();
CF_marker_offd = hypre_CTAlloc(HYPRE_Int, num_cols_offd);
int_buf_data = hypre_CTAlloc(HYPRE_Int, hypre_ParCSRCommPkgSendMapStart(comm_pkg,
num_sends));
/*------------------------------------------------
* Exchange boundary data for CF_marker
*------------------------------------------------*/
index = 0;
for (i = 0; i < num_sends; i++)
{
start = hypre_ParCSRCommPkgSendMapStart(comm_pkg, i);
for (j = start; j < hypre_ParCSRCommPkgSendMapStart(comm_pkg, i+1); j++)
int_buf_data[index++]
= CF_marker[hypre_ParCSRCommPkgSendMapElmt(comm_pkg,j)];
}
if (num_procs > 1)
{
comm_handle = hypre_ParCSRCommHandleCreate(11, comm_pkg, int_buf_data,
CF_marker_offd);
hypre_ParCSRCommHandleDestroy(comm_handle);
}
ci_array = hypre_CTAlloc(HYPRE_Int,num_cols_offd);
for (i=0; i < num_cols_offd; i++)
ci_array[i] = -1;
}
if (coarsen_type > 1 && coarsen_type < 5)
{
for (i=0; i < num_variables; i++)
graph_array[i] = -1;
for (i=0; i < num_cols_offd; i++)
{
if (ci_tilde_mark != i) ci_tilde = -1;
if (ci_tilde_offd_mark != i) ci_tilde_offd = -1;
if (CF_marker_offd[i] == -1)
{
for (ji = S_ext_i[i]; ji < S_ext_i[i+1]; ji++)
{
j = S_ext_j[ji];
if (j > col_0 && j < col_n)
{
j = j - first_col;
if (CF_marker[j] > 0)
graph_array[j] = i;
}
else
{
jj = hypre_BinarySearch(col_map_offd,j,num_cols_offd);
if (jj != -1 && CF_marker_offd[jj] > 0)
ci_array[jj] = i;
}
}
for (ji = S_ext_i[i]; ji < S_ext_i[i+1]; ji++)
{
j = S_ext_j[ji];
if (j > col_0 && j < col_n)
{
j = j - first_col;
if ( CF_marker[j] == -1)
{
set_empty = 1;
for (jj = S_i[j]; jj < S_i[j+1]; jj++)
{
index = S_j[jj];
if (graph_array[index] == i)
{
set_empty = 0;
break;
}
}
for (jj = S_offd_i[j]; jj < S_offd_i[j+1]; jj++)
{
index = S_offd_j[jj];
if (ci_array[index] == i)
{
set_empty = 0;
break;
}
}
if (set_empty)
{
if (C_i_nonempty)
{
CF_marker_offd[i] = 1;
if (ci_tilde > -1)
{
CF_marker[ci_tilde] = -1;
ci_tilde = -1;
}
if (ci_tilde_offd > -1)
{
CF_marker_offd[ci_tilde_offd] = -1;
ci_tilde_offd = -1;
}
C_i_nonempty = 0;
break;
}
else
{
ci_tilde = j;
ci_tilde_mark = i;
CF_marker[j] = 1;
C_i_nonempty = 1;
i--;
break;
}
}
}
}
else
{
jm = hypre_BinarySearch(col_map_offd,j,num_cols_offd);
if (jm != -1 && CF_marker_offd[jm] == -1)
{
set_empty = 1;
for (jj = S_ext_i[jm]; jj < S_ext_i[jm+1]; jj++)
{
index = S_ext_j[jj];
if (index > col_0 && index < col_n)
{
if (graph_array[index-first_col] == i)
{
set_empty = 0;
break;
}
}
else
{
jk = hypre_BinarySearch(col_map_offd,index,num_cols_offd);
if (jk != -1)
{
if (ci_array[jk] == i)
{
set_empty = 0;
break;
}
}
}
}
if (set_empty)
{
if (C_i_nonempty)
{
CF_marker_offd[i] = 1;
if (ci_tilde > -1)
{
CF_marker[ci_tilde] = -1;
ci_tilde = -1;
}
if (ci_tilde_offd > -1)
{
CF_marker_offd[ci_tilde_offd] = -1;
ci_tilde_offd = -1;
}
C_i_nonempty = 0;
break;
}
else
{
ci_tilde_offd = jm;
ci_tilde_offd_mark = i;
CF_marker_offd[jm] = 1;
C_i_nonempty = 1;
i--;
break;
}
}
}
}
}
}
}
/*------------------------------------------------
* Send boundary data for CF_marker back
*------------------------------------------------*/
if (num_procs > 1)
{
comm_handle = hypre_ParCSRCommHandleCreate(12, comm_pkg, CF_marker_offd,
int_buf_data);
hypre_ParCSRCommHandleDestroy(comm_handle);
}
/* only CF_marker entries from larger procs are accepted
if coarsen_type = 4 coarse points are not overwritten */
index = 0;
if (coarsen_type != 4)
{
for (i = 0; i < num_sends; i++)
{
start = hypre_ParCSRCommPkgSendMapStart(comm_pkg, i);
if (hypre_ParCSRCommPkgSendProc(comm_pkg,i) > my_id)
{
for (j = start; j < hypre_ParCSRCommPkgSendMapStart(comm_pkg, i+1); j++)
CF_marker[hypre_ParCSRCommPkgSendMapElmt(comm_pkg,j)] =
int_buf_data[index++];
}
else
{
index += hypre_ParCSRCommPkgSendMapStart(comm_pkg, i+1) - start;
}
}
}
else
{
for (i = 0; i < num_sends; i++)
{
start = hypre_ParCSRCommPkgSendMapStart(comm_pkg, i);
if (hypre_ParCSRCommPkgSendProc(comm_pkg,i) > my_id)
{
for (j = start; j < hypre_ParCSRCommPkgSendMapStart(comm_pkg, i+1); j++)
{
elmt = hypre_ParCSRCommPkgSendMapElmt(comm_pkg,j);
if (CF_marker[elmt] != 1)
CF_marker[elmt] = int_buf_data[index];
index++;
}
}
else
{
index += hypre_ParCSRCommPkgSendMapStart(comm_pkg, i+1) - start;
}
}
}
if (debug_flag == 3)
{
wall_time = time_getWallclockSeconds() - wall_time;
if (coarsen_type == 4)
hypre_printf("Proc = %d Coarsen 3rd pass = %f\n",
my_id, wall_time);
if (coarsen_type == 3)
hypre_printf("Proc = %d Coarsen 3rd pass = %f\n",
my_id, wall_time);
if (coarsen_type == 2)
hypre_printf("Proc = %d Coarsen 2nd pass = %f\n",
my_id, wall_time);
}
}
if (coarsen_type == 5)
{
/*------------------------------------------------
* Exchange boundary data for CF_marker
*------------------------------------------------*/
if (debug_flag == 3) wall_time = time_getWallclockSeconds();
CF_marker_offd = hypre_CTAlloc(HYPRE_Int, num_cols_offd);
int_buf_data = hypre_CTAlloc(HYPRE_Int, hypre_ParCSRCommPkgSendMapStart(comm_pkg,
num_sends));
index = 0;
for (i = 0; i < num_sends; i++)
{
start = hypre_ParCSRCommPkgSendMapStart(comm_pkg, i);
for (j = start; j < hypre_ParCSRCommPkgSendMapStart(comm_pkg, i+1); j++)
int_buf_data[index++]
= CF_marker[hypre_ParCSRCommPkgSendMapElmt(comm_pkg,j)];
}
if (num_procs > 1)
{
comm_handle = hypre_ParCSRCommHandleCreate(11, comm_pkg, int_buf_data,
CF_marker_offd);
hypre_ParCSRCommHandleDestroy(comm_handle);
}
ci_array = hypre_CTAlloc(HYPRE_Int,num_cols_offd);
for (i=0; i < num_cols_offd; i++)
ci_array[i] = -1;
for (i=0; i < num_variables; i++)
graph_array[i] = -1;
for (i=0; i < num_variables; i++)
{
if (CF_marker[i] == -1 && (S_offd_i[i+1]-S_offd_i[i]) > 0)
{
break_var = 1;
for (ji = S_i[i]; ji < S_i[i+1]; ji++)
{
j = S_j[ji];
if (CF_marker[j] > 0)
graph_array[j] = i;
}
for (ji = S_offd_i[i]; ji < S_offd_i[i+1]; ji++)
{
j = S_offd_j[ji];
if (CF_marker_offd[j] > 0)
ci_array[j] = i;
}
for (ji = S_offd_i[i]; ji < S_offd_i[i+1]; ji++)
{
j = S_offd_j[ji];
if (CF_marker_offd[j] == -1)
{
set_empty = 1;
for (jj = S_ext_i[j]; jj < S_ext_i[j+1]; jj++)
{
index = S_ext_j[jj];
if (index > col_0 && index < col_n) /* index interior */
{
if (graph_array[index-first_col] == i)
{
set_empty = 0;
break;
}
}
else
{
jk = hypre_BinarySearch(col_map_offd,index,num_cols_offd);
if (jk != -1)
{
if (ci_array[jk] == i)
{
set_empty = 0;
break;
}
}
}
}
if (set_empty)
{
if (C_i_nonempty)
{
CF_marker[i] = -2;
C_i_nonempty = 0;
break;
}
else
{
C_i_nonempty = 1;
i--;
break;
}
}
}
}
}
}
if (debug_flag == 3)
{
wall_time = time_getWallclockSeconds() - wall_time;
hypre_printf("Proc = %d Coarsen special points = %f\n",
my_id, wall_time);
}
}
/*---------------------------------------------------
* Clean up and return
*---------------------------------------------------*/
/*if (coarsen_type != 1)
{ */
hypre_TFree(CF_marker_offd);
hypre_TFree(int_buf_data);
hypre_TFree(ci_array);
/*} */
hypre_TFree(graph_array);
if ((meas_type || (coarsen_type != 1 && coarsen_type != 11))
&& num_procs > 1)
hypre_CSRMatrixDestroy(S_ext);
*CF_marker_ptr = CF_marker;
return (ierr);
}
HYPRE_Int
hypre_BoomerAMGCoarsenFalgout( hypre_ParCSRMatrix *S,
hypre_ParCSRMatrix *A,
HYPRE_Int measure_type,
HYPRE_Int debug_flag,
HYPRE_Int **CF_marker_ptr)
{
HYPRE_Int ierr = 0;
/*-------------------------------------------------------
* Perform Ruge coarsening followed by CLJP coarsening
*-------------------------------------------------------*/
ierr += hypre_BoomerAMGCoarsenRuge (S, A, measure_type, 6, debug_flag,
CF_marker_ptr);
ierr += hypre_BoomerAMGCoarsen (S, A, 1, debug_flag,
CF_marker_ptr);
return (ierr);
}
HYPRE_Int
hypre_BoomerAMGCoarsenHMIS( hypre_ParCSRMatrix *S,
hypre_ParCSRMatrix *A,
HYPRE_Int measure_type,
HYPRE_Int debug_flag,
HYPRE_Int **CF_marker_ptr)
{
HYPRE_Int ierr = 0;
/*-------------------------------------------------------
* Perform Ruge coarsening followed by CLJP coarsening
*-------------------------------------------------------*/
ierr += hypre_BoomerAMGCoarsenRuge (S, A, measure_type, 10, debug_flag,
CF_marker_ptr);
ierr += hypre_BoomerAMGCoarsenPMIS (S, A, 1, debug_flag,
CF_marker_ptr);
return (ierr);
}
/*--------------------------------------------------------------------------*/
#define C_PT 1
#define F_PT -1
#define SF_PT -3
#define COMMON_C_PT 2
#define Z_PT -2
/* begin HANS added */
/**************************************************************
*
* Modified Independent Set Coarsening routine
* (don't worry about strong F-F connections
* without a common C point)
*
**************************************************************/
HYPRE_Int
hypre_BoomerAMGCoarsenPMIS( hypre_ParCSRMatrix *S,
hypre_ParCSRMatrix *A,
HYPRE_Int CF_init,
HYPRE_Int debug_flag,
HYPRE_Int **CF_marker_ptr)
{
#ifdef HYPRE_PROFILE
hypre_profile_times[HYPRE_TIMER_ID_PMIS] -= hypre_MPI_Wtime();
#endif
MPI_Comm comm = hypre_ParCSRMatrixComm(S);
hypre_ParCSRCommPkg *comm_pkg = hypre_ParCSRMatrixCommPkg(S);
hypre_ParCSRCommHandle *comm_handle;
hypre_CSRMatrix *S_diag = hypre_ParCSRMatrixDiag(S);
HYPRE_Int *S_diag_i = hypre_CSRMatrixI(S_diag);
HYPRE_Int *S_diag_j = hypre_CSRMatrixJ(S_diag);
hypre_CSRMatrix *S_offd = hypre_ParCSRMatrixOffd(S);
HYPRE_Int *S_offd_i = hypre_CSRMatrixI(S_offd);
HYPRE_Int *S_offd_j;
HYPRE_Int num_variables = hypre_CSRMatrixNumRows(S_diag);
HYPRE_Int num_cols_offd = 0;
/* hypre_CSRMatrix *S_ext;
HYPRE_Int *S_ext_i;
HYPRE_Int *S_ext_j; */
HYPRE_Int num_sends = 0;
HYPRE_Int *int_buf_data;
HYPRE_Real *buf_data;
HYPRE_Int *CF_marker;
HYPRE_Int *CF_marker_offd;
HYPRE_Real *measure_array;
HYPRE_Int *graph_array;
HYPRE_Int *graph_array_offd;
HYPRE_Int graph_size;
HYPRE_Int graph_offd_size;
HYPRE_Int global_graph_size;
HYPRE_Int i, j, jj, jS, ig;
HYPRE_Int index, start, my_id, num_procs, jrow, cnt, elmt;
HYPRE_Int ierr = 0;
HYPRE_Real wall_time;
HYPRE_Int iter = 0;
HYPRE_Int *prefix_sum_workspace;
#if 0 /* debugging */
char filename[256];
FILE *fp;
HYPRE_Int iter = 0;
#endif
/*******************************************************************************
BEFORE THE INDEPENDENT SET COARSENING LOOP:
measure_array: calculate the measures, and communicate them
(this array contains measures for both local and external nodes)
CF_marker, CF_marker_offd: initialize CF_marker
(separate arrays for local and external; 0=unassigned, negative=F point, positive=C point)
******************************************************************************/
/*--------------------------------------------------------------
* Use the ParCSR strength matrix, S.
*
* For now, the "strength" of dependence/influence is defined in
* the following way: i depends on j if
* aij > hypre_max (k != i) aik, aii < 0
* or
* aij < hypre_min (k != i) aik, aii >= 0
* Then S_ij = 1, else S_ij = 0.
*
* NOTE: S_data is not used; in stead, only strong columns are retained
* in S_j, which can then be used like S_data
*----------------------------------------------------------------*/
/*S_ext = NULL; */
if (debug_flag == 3) wall_time = time_getWallclockSeconds();
hypre_MPI_Comm_size(comm,&num_procs);
hypre_MPI_Comm_rank(comm,&my_id);
if (!comm_pkg)
{
comm_pkg = hypre_ParCSRMatrixCommPkg(A);
}
if (!comm_pkg)
{
hypre_MatvecCommPkgCreate(A);
comm_pkg = hypre_ParCSRMatrixCommPkg(A);
}
num_sends = hypre_ParCSRCommPkgNumSends(comm_pkg);
int_buf_data = hypre_CTAlloc(HYPRE_Int, hypre_ParCSRCommPkgSendMapStart(comm_pkg,
num_sends));
buf_data = hypre_CTAlloc(HYPRE_Real, hypre_ParCSRCommPkgSendMapStart(comm_pkg,
num_sends));
num_cols_offd = hypre_CSRMatrixNumCols(S_offd);
S_diag_j = hypre_CSRMatrixJ(S_diag);
if (num_cols_offd)
{
S_offd_j = hypre_CSRMatrixJ(S_offd);
}
/*----------------------------------------------------------
* Compute the measures
*
* The measures are currently given by the column sums of S.
* Hence, measure_array[i] is the number of influences
* of variable i.
*
* The measures are augmented by a random number
* between 0 and 1.
*----------------------------------------------------------*/
measure_array = hypre_CTAlloc(HYPRE_Real, num_variables+num_cols_offd);
/* first calculate the local part of the sums for the external nodes */
#ifdef HYPRE_USING_OPENMP
HYPRE_Int *measure_array_temp = hypre_CTAlloc(HYPRE_Int, num_variables+num_cols_offd);
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
for (i=0; i < S_offd_i[num_variables]; i++)
{
#pragma omp atomic
measure_array_temp[num_variables + S_offd_j[i]]++;
}
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
for (i=0; i < num_cols_offd; i++)
{
measure_array[i + num_variables] = measure_array_temp[i + num_variables];
}
#else
for (i=0; i < S_offd_i[num_variables]; i++)
{
measure_array[num_variables + S_offd_j[i]] += 1.0;
}
#endif // HYPRE_USING_OPENMP
/* now send those locally calculated values for the external nodes to the neighboring processors */
if (num_procs > 1)
comm_handle = hypre_ParCSRCommHandleCreate(2, comm_pkg,
&measure_array[num_variables], buf_data);
/* calculate the local part for the local nodes */
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
for (i=0; i < S_diag_i[num_variables]; i++)
{
#pragma omp atomic
measure_array_temp[S_diag_j[i]]++;
}
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
for (i=0; i < num_variables; i++)
{
measure_array[i] = measure_array_temp[i];
}
hypre_TFree(measure_array_temp);
#else
for (i=0; i < S_diag_i[num_variables]; i++)
{
measure_array[S_diag_j[i]] += 1.0;
}
#endif // HYPRE_USING_OPENMP
/* finish the communication */
if (num_procs > 1)
hypre_ParCSRCommHandleDestroy(comm_handle);
/* now add the externally calculated part of the local nodes to the local nodes */
index = 0;
for (i=0; i < num_sends; i++)
{
start = hypre_ParCSRCommPkgSendMapStart(comm_pkg, i);
for (j=start; j < hypre_ParCSRCommPkgSendMapStart(comm_pkg, i+1); j++)
measure_array[hypre_ParCSRCommPkgSendMapElmt(comm_pkg,j)]
+= buf_data[index++];
}
/* set the measures of the external nodes to zero */
for (i=num_variables; i < num_variables+num_cols_offd; i++)
{
measure_array[i] = 0;
}
/* this augments the measures with a random number between 0 and 1 */
/* (only for the local part) */
/* this augments the measures */
if (CF_init == 2 || CF_init == 4)
hypre_BoomerAMGIndepSetInit(S, measure_array, 1);
else
hypre_BoomerAMGIndepSetInit(S, measure_array, 0);
/*---------------------------------------------------
* Initialize the graph arrays, and CF_marker arrays
*---------------------------------------------------*/
/* first the off-diagonal part of the graph array */
if (num_cols_offd)
graph_array_offd = hypre_CTAlloc(HYPRE_Int, num_cols_offd);
else
graph_array_offd = NULL;
for (ig = 0; ig < num_cols_offd; ig++)
graph_array_offd[ig] = ig;
graph_offd_size = num_cols_offd;
/* now the local part of the graph array, and the local CF_marker array */
graph_array = hypre_CTAlloc(HYPRE_Int, num_variables);
if (CF_init==1)
{
CF_marker = *CF_marker_ptr;
cnt = 0;
for (i=0; i < num_variables; i++)
{
if ( (S_offd_i[i+1]-S_offd_i[i]) > 0 || CF_marker[i] == -1)
{
CF_marker[i] = 0;
}
if ( CF_marker[i] == Z_PT)
{
if (measure_array[i] >= 1.0 ||
(S_diag_i[i+1]-S_diag_i[i]) > 0)
{
CF_marker[i] = 0;
graph_array[cnt++] = i;
}
else
{
CF_marker[i] = F_PT;
}
}
else if (CF_marker[i] == SF_PT)
measure_array[i] = 0;
else
graph_array[cnt++] = i;
}
}
else
{
CF_marker = hypre_CTAlloc(HYPRE_Int, num_variables);
cnt = 0;
for (i=0; i < num_variables; i++)
{
CF_marker[i] = 0;
if ( (S_diag_i[i+1]-S_diag_i[i]) == 0
&& (S_offd_i[i+1]-S_offd_i[i]) == 0)
{
CF_marker[i] = SF_PT; /* an isolated fine grid */
if (CF_init == 3 || CF_init == 4) CF_marker[i] = C_PT;
measure_array[i] = 0;
}
else
graph_array[cnt++] = i;
}
}
graph_size = cnt;
/* now the off-diagonal part of CF_marker */
if (num_cols_offd)
CF_marker_offd = hypre_CTAlloc(HYPRE_Int, num_cols_offd);
else
CF_marker_offd = NULL;
for (i=0; i < num_cols_offd; i++)
CF_marker_offd[i] = 0;
/*------------------------------------------------
* Communicate the local measures, which are complete,
to the external nodes
*------------------------------------------------*/
index = 0;
for (i = 0; i < num_sends; i++)
{
start = hypre_ParCSRCommPkgSendMapStart(comm_pkg, i);
for (j = start; j < hypre_ParCSRCommPkgSendMapStart(comm_pkg, i+1); j++)
{
jrow = hypre_ParCSRCommPkgSendMapElmt(comm_pkg,j);
buf_data[index++] = measure_array[jrow];
}
}
if (num_procs > 1)
{
comm_handle = hypre_ParCSRCommHandleCreate(1, comm_pkg, buf_data,
&measure_array[num_variables]);
hypre_ParCSRCommHandleDestroy(comm_handle);
}
if (debug_flag == 3)
{
wall_time = time_getWallclockSeconds() - wall_time;
hypre_printf("Proc = %d Initialize CLJP phase = %f\n",
my_id, wall_time);
}
HYPRE_Int *graph_array2 = hypre_CTAlloc(HYPRE_Int, num_variables);
HYPRE_Int *graph_array_offd2 = NULL;
if (num_cols_offd)
graph_array_offd2 = hypre_CTAlloc(HYPRE_Int, num_cols_offd);
/*******************************************************************************
THE INDEPENDENT SET COARSENING LOOP:
******************************************************************************/
/*---------------------------------------------------
* Loop until all points are either fine or coarse.
*---------------------------------------------------*/
while (1)
{
/* stop the coarsening if nothing left to be coarsened */
hypre_MPI_Allreduce(&graph_size,&global_graph_size,1,HYPRE_MPI_INT,hypre_MPI_SUM,comm);
if (global_graph_size == 0)
break;
/* hypre_printf("\n");
hypre_printf("*** MIS iteration %d\n",iter);
hypre_printf("graph_size remaining %d\n",graph_size);*/
/*------------------------------------------------
* Pick an independent set of points with
* maximal measure.
At the end, CF_marker is complete, but still needs to be
communicated to CF_marker_offd
*------------------------------------------------*/
if (!CF_init || iter)
{
/*hypre_BoomerAMGIndepSet(S, measure_array, graph_array,
graph_size,
graph_array_offd, graph_offd_size,
CF_marker, CF_marker_offd);*/
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(ig, i) HYPRE_SMP_SCHEDULE
#endif
for (ig = 0; ig < graph_size; ig++)
{
i = graph_array[ig];
if (measure_array[i] > 1)
{
CF_marker[i] = 1;
}
}
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(ig, i) HYPRE_SMP_SCHEDULE
#endif
for (ig = 0; ig < graph_offd_size; ig++)
{
i = graph_array_offd[ig];
if (measure_array[i+num_variables] > 1)
{
CF_marker_offd[i] = 1;
}
}
/*-------------------------------------------------------
* Remove nodes from the initial independent set
*-------------------------------------------------------*/
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(ig, i, jS, j, jj) HYPRE_SMP_SCHEDULE
#endif
for (ig = 0; ig < graph_size; ig++)
{
i = graph_array[ig];
if (measure_array[i] > 1)
{
for (jS = S_diag_i[i]; jS < S_diag_i[i+1]; jS++)
{
j = S_diag_j[jS];
if (measure_array[j] > 1)
{
if (measure_array[i] > measure_array[j])
CF_marker[j] = 0;
else if (measure_array[j] > measure_array[i])
CF_marker[i] = 0;
}
} /* for each local neighbor j of i */
for (jS = S_offd_i[i]; jS < S_offd_i[i+1]; jS++)
{
jj = S_offd_j[jS];
j = num_variables+jj;
if (measure_array[j] > 1)
{
if (measure_array[i] > measure_array[j])
CF_marker_offd[jj] = 0;
else if (measure_array[j] > measure_array[i])
CF_marker[i] = 0;
}
}
} /* for each node with measure > 1 */
} /* for each node i */
/*------------------------------------------------
* Exchange boundary data for CF_marker: send internal
points to external points
*------------------------------------------------*/
if (num_procs > 1)
{
comm_handle = hypre_ParCSRCommHandleCreate(12, comm_pkg,
CF_marker_offd, int_buf_data);
hypre_ParCSRCommHandleDestroy(comm_handle);
}
index = 0;
for (i = 0; i < num_sends; i++)
{
start = hypre_ParCSRCommPkgSendMapStart(comm_pkg, i);
for (j=start; j < hypre_ParCSRCommPkgSendMapStart(comm_pkg, i+1); j++)
{
elmt = hypre_ParCSRCommPkgSendMapElmt(comm_pkg,j);
if (!int_buf_data[index] && CF_marker[elmt] > 0)
{
CF_marker[elmt] = 0;
index++;
}
else
{
int_buf_data[index++] = CF_marker[elmt];
}
}
}
if (num_procs > 1)
{
comm_handle = hypre_ParCSRCommHandleCreate(11, comm_pkg, int_buf_data,
CF_marker_offd);
hypre_ParCSRCommHandleDestroy(comm_handle);
}
}
iter++;
/*------------------------------------------------
* Set C-pts and F-pts.
*------------------------------------------------*/
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(ig, i, jS, j) HYPRE_SMP_SCHEDULE
#endif
for (ig = 0; ig < graph_size; ig++) {
i = graph_array[ig];
/*---------------------------------------------
* If the measure of i is smaller than 1, then
* make i and F point (because it does not influence
* any other point)
*---------------------------------------------*/
if(measure_array[i]<1.) CF_marker[i]= F_PT;
/*---------------------------------------------
* First treat the case where point i is in the
* independent set: make i a C point,
*---------------------------------------------*/
if (CF_marker[i] > 0) CF_marker[i] = C_PT;
/*---------------------------------------------
* Now treat the case where point i is not in the
* independent set: loop over
* all the points j that influence equation i; if
* j is a C point, then make i an F point.
*---------------------------------------------*/
else
{
/* first the local part */
for (jS = S_diag_i[i]; jS < S_diag_i[i+1]; jS++)
{
/* j is the column number, or the local number of the point influencing i */
j = S_diag_j[jS];
if (CF_marker[j] > 0) /* j is a C-point */
CF_marker[i] = F_PT;
}
/* now the external part */
for (jS = S_offd_i[i]; jS < S_offd_i[i+1]; jS++)
{
j = S_offd_j[jS];
if (CF_marker_offd[j] > 0) /* j is a C-point */
CF_marker[i] = F_PT;
}
} /* end else */
} /* end first loop over graph */
/* now communicate CF_marker to CF_marker_offd, to make
sure that new external F points are known on this processor */
/*------------------------------------------------
* Exchange boundary data for CF_marker: send internal
points to external points
*------------------------------------------------*/
index = 0;
for (i = 0; i < num_sends; i++)
{
start = hypre_ParCSRCommPkgSendMapStart(comm_pkg, i);
for (j = start; j < hypre_ParCSRCommPkgSendMapStart(comm_pkg, i+1); j++)
int_buf_data[index++]
= CF_marker[hypre_ParCSRCommPkgSendMapElmt(comm_pkg,j)];
}
if (num_procs > 1)
{
comm_handle = hypre_ParCSRCommHandleCreate(11, comm_pkg, int_buf_data,
CF_marker_offd);
hypre_ParCSRCommHandleDestroy(comm_handle);
}
/*------------------------------------------------
* Update subgraph
*------------------------------------------------*/
/*HYPRE_Int prefix_sum_workspace[2*(hypre_NumThreads() + 1)];*/
prefix_sum_workspace = hypre_TAlloc(HYPRE_Int, 2*(hypre_NumThreads() + 1));
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel private(ig,i)
#endif
{
HYPRE_Int private_graph_size_cnt = 0;
HYPRE_Int private_graph_offd_size_cnt = 0;
HYPRE_Int ig_begin, ig_end;
hypre_GetSimpleThreadPartition(&ig_begin, &ig_end, graph_size);
HYPRE_Int ig_offd_begin, ig_offd_end;
hypre_GetSimpleThreadPartition(&ig_offd_begin, &ig_offd_end, graph_offd_size);
for (ig = ig_begin; ig < ig_end; ig++)
{
i = graph_array[ig];
if (CF_marker[i]!=0) /* C or F point */
{
/* the independent set subroutine needs measure 0 for
removed nodes */
measure_array[i] = 0;
}
else
{
private_graph_size_cnt++;
}
}
for (ig = ig_offd_begin; ig < ig_offd_end; ig++)
{
i = graph_array_offd[ig];
if (CF_marker_offd[i]!=0) /* C of F point */
{
/* the independent set subroutine needs measure 0 for
removed nodes */
measure_array[i + num_variables] = 0;
}
else
{
private_graph_offd_size_cnt++;
}
}
hypre_prefix_sum_pair(&private_graph_size_cnt, &graph_size, &private_graph_offd_size_cnt, &graph_offd_size, prefix_sum_workspace);
for (ig = ig_begin; ig < ig_end; ig++)
{
i = graph_array[ig];
if (CF_marker[i]==0)
{
graph_array2[private_graph_size_cnt++] = i;
}
}
for (ig = ig_offd_begin; ig < ig_offd_end; ig++)
{
i = graph_array_offd[ig];
if (CF_marker_offd[i]==0)
{
graph_array_offd2[private_graph_offd_size_cnt++] = i;
}
}
} /* omp parallel */
HYPRE_Int *temp = graph_array;
graph_array = graph_array2;
graph_array2 = temp;
temp = graph_array_offd;
graph_array_offd = graph_array_offd2;
graph_array_offd2 = temp;
hypre_TFree(prefix_sum_workspace);
} /* end while */
/* hypre_printf("*** MIS iteration %d\n",iter);
hypre_printf("graph_size remaining %d\n",graph_size);
hypre_printf("num_cols_offd %d\n",num_cols_offd);
for (i=0;i<num_variables;i++)
{
if(CF_marker[i]==1)
hypre_printf("node %d CF %d\n",i,CF_marker[i]);
}*/
/*---------------------------------------------------
* Clean up and return
*---------------------------------------------------*/
hypre_TFree(measure_array);
hypre_TFree(graph_array);
hypre_TFree(graph_array2);
hypre_TFree(graph_array_offd2);
if (num_cols_offd) hypre_TFree(graph_array_offd);
hypre_TFree(buf_data);
hypre_TFree(int_buf_data);
hypre_TFree(CF_marker_offd);
/*if (num_procs > 1) hypre_CSRMatrixDestroy(S_ext);*/
*CF_marker_ptr = CF_marker;
#ifdef HYPRE_PROFILE
hypre_profile_times[HYPRE_TIMER_ID_PMIS] += hypre_MPI_Wtime();
#endif
return (ierr);
}
|
matvec_simd.c | //matvec.c
//Multiplies a matrix by a vector
// This is the linear, no AVX/OpenMP version
#include <stdio.h>
#include <stdlib.h>
#include <time.h>
#include <sys/timeb.h>
#include <malloc.h>
#include <omp.h>
#define N_RUNS 1000
#define N 1200
// read timer in second
double read_timer() {
struct timeb tm;
ftime(&tm);
return (double) tm.time + (double) tm.millitm / 1000.0;
}
//Create a matrix and a vector and fill with random numbers
void init(float *matrix, float *vector) {
for (int i = 0; i<N; i++) {
for (int j = 0; j<N; j++) {
matrix[i*N+j] = (float)rand()/(float)(RAND_MAX/10.0);
}
vector[i] = (float)rand()/(float)(RAND_MAX/10.0);
}
}
void sum(float *matrix, float *vector);
int main(int argc, char **argv) {
//Get default number of threads and size
int num_threads = 4; /* 4 is default number of threads */
omp_set_num_threads(num_threads);
//Set everything up
float *matrix = malloc(sizeof(float)*N*N);
float *vector = malloc(sizeof(float)*N);
srand(time(NULL));
init(matrix, vector);
double start = read_timer();
for (int i = 0; i<N_RUNS; i++)
sum(matrix, vector);
double t = (read_timer() - start);
double gflops = ((2.0 * N) * N * N_RUNS) / (1.0e9 * t);
printf("==================================================================\n");
printf("Performance:\t\t\tRuntime (s)\t GFLOPS\n");
printf("------------------------------------------------------------------\n");
printf("Matrix-vector (SIMD):\t\t%4f\t%4f\n", t, gflops);
return 0;
}
//Our sum function- what it does is pretty straight-forward.
void sum(float *matrix, float *vector) {
float s = 0;
for (int i = 0; i<N; i++) {
s = 0;
#pragma omp simd
for (int j = 0; j<N; j++) {
s += (matrix[i*N+j] * vector[j]);
}
vector[i] = s;
}
}
|
owl_ndarray_pool_impl.h | /*
* OWL - OCaml Scientific and Engineering Computing
* Copyright (c) 2016-2022 Liang Wang <liang@ocaml.xyz>
*/
#ifdef OWL_ENABLE_TEMPLATE
CAMLprim value FUN_NATIVE (spatial) (
value vInput_ptr, value vOutput_ptr,
value vBatches, value vInput_cols, value vInput_rows, value vIn_channel,
value vKernel_cols, value vKernel_rows,
value vOutput_cols, value vOutput_rows,
value vRow_stride, value vCol_stride,
value vPadding, value vRow_in_stride, value vCol_in_stride
) {
struct caml_ba_array *IN = Caml_ba_array_val(vInput_ptr);
struct caml_ba_array *OU = Caml_ba_array_val(vOutput_ptr);
TYPE *input_ptr = (TYPE *) IN->data;
TYPE *output_ptr = (TYPE *) OU->data;
int batches = Long_val(vBatches);
int input_cols = Long_val(vInput_cols);
int input_rows = Long_val(vInput_rows);
int in_channel = Long_val(vIn_channel);
int kernel_cols = Long_val(vKernel_cols);
int kernel_rows = Long_val(vKernel_rows);
int output_cols = Long_val(vOutput_cols);
int output_rows = Long_val(vOutput_rows);
int row_stride = Long_val(vRow_stride);
int col_stride = Long_val(vCol_stride);
int padding = Long_val(vPadding);
int row_in_stride = Long_val(vRow_in_stride);
int col_in_stride = Long_val(vCol_in_stride);
const int input_cri = input_cols * input_rows * in_channel;
const int input_ri = input_rows * in_channel;
const int output_cri = output_cols * output_rows * in_channel;
const int output_ri = output_rows * in_channel;
memset(output_ptr, 0, batches * output_cri * sizeof(TYPE));
int pr = 0, pc = 0;
if (padding != 1){
pr = (row_stride * ( output_rows - 1) + kernel_rows - input_rows) / 2;
pc = (col_stride * ( output_cols - 1) + kernel_cols - input_cols) / 2;
if (pr < 0) pr = 0;
if (pc < 0) pc = 0;
}
#ifdef _OPENMP
#pragma omp parallel for schedule(static)
#endif /* _OPENMP */
for (int i = 0; i < batches; ++i) {
const int input_idx_base = i * input_cri;
const int output_idx_base_i = i * output_cri;
for (int j = 0; j < output_cols; ++j) {
const int output_idx_base_j = output_idx_base_i + j * output_ri;
for (int k = 0; k < output_rows; ++k) {
const int output_idx_base = output_idx_base_j + k * in_channel;
const int cstart = j * col_stride - pc;
const int rstart = k * row_stride - pr;
const int cend = cstart + kernel_cols;
const int rend = rstart + kernel_rows;
for (int l = 0; l < in_channel; ++l) {
TYPE acc = INITACC;
int c = 0;
for (int a = cstart; a < cend; ++a) {
for (int b = rstart; b < rend; ++b) {
if (a >= 0 && a < input_cols &&
b >= 0 && b < input_rows) {
int input_idx =
input_idx_base + a * input_ri + b * in_channel + l;
TYPE t = *(input_ptr + input_idx);
ACCFN (acc, t);
c++;
}
}
}
int output_idx = output_idx_base + l;
*(output_ptr + output_idx) = UPDATEFN (acc, c);
}
}
}
}
return Val_unit;
}
CAMLprim value FUN_BYTE (spatial) (value * argv, int argn) {
return FUN_NATIVE (spatial) (
argv[0], argv[1], argv[2], argv[3], argv[4], argv[5], argv[6], argv[7],
argv[8], argv[9], argv[10], argv[11], argv[12], argv[13], argv[14]
);
}
CAMLprim value FUN_NATIVE (spatial_backward) (
value vInput, value vOutput_back, value vInput_back,
value vBatches, value vInput_cols, value vInput_rows, value vIn_channel,
value vKernel_cols, value vKernel_rows,
value vOutput_cols, value vOutput_rows,
value vRow_stride, value vCol_stride,
value vPad_rows, value vPad_cols
) {
struct caml_ba_array *IN = Caml_ba_array_val(vInput);
struct caml_ba_array *OUB = Caml_ba_array_val(vOutput_back);
struct caml_ba_array *INB = Caml_ba_array_val(vInput_back);
TYPE *input_ptr = (TYPE *) IN->data;
TYPE *output_backward_ptr = (TYPE *) OUB->data;
TYPE *input_backward_ptr = (TYPE *) INB->data;
int batches = Long_val(vBatches);
int input_cols = Long_val(vInput_cols);
int input_rows = Long_val(vInput_rows);
int in_channel = Long_val(vIn_channel);
int kernel_cols = Long_val(vKernel_cols);
int kernel_rows = Long_val(vKernel_rows);
int output_cols = Long_val(vOutput_cols);
int output_rows = Long_val(vOutput_rows);
int row_stride = Long_val(vRow_stride);
int col_stride = Long_val(vCol_stride);
int pad_rows = Long_val(vPad_rows);
int pad_cols = Long_val(vPad_cols);
const int ksize = kernel_cols * kernel_rows;
const int output_cri = output_cols * output_rows * in_channel;
const int output_ri = output_rows * in_channel;
const int input_cri = input_cols * input_rows * in_channel;
const int input_ri = input_rows * in_channel;
if (pad_cols < 0) pad_cols = 0;
if (pad_rows < 0) pad_rows = 0;
memset(input_backward_ptr, 0,
batches * input_cols * input_rows * in_channel * sizeof(TYPE));
#ifdef _OPENMP
#pragma omp parallel for schedule(static)
#endif /* _OPENMP */
for (int i = 0; i < batches; ++i) {
const int input_idx_base = i * input_cri;
const int output_idx_base_i = i * output_cri;
for (int j = 0; j < output_cols; ++j) {
const int output_idx_base_j = output_idx_base_i + j * output_ri;
for (int k = 0; k < output_rows; ++k) {
const int output_idx_base = output_idx_base_j + k * in_channel;
const int cstart = j * col_stride - pad_cols;
const int rstart = k * row_stride - pad_rows;
const int cend = cstart + kernel_cols;
const int rend = rstart + kernel_rows;
for (int l = 0; l < in_channel; ++l) {
TYPE m;
int output_idx = output_idx_base + l;
m = *(output_backward_ptr + output_idx);
int idx[ksize];
memset(idx, 0, ksize * sizeof(int));
TYPE acc = INITACC;
int max_idx = 0;
int c = 0;
for (int a = cstart; a < cend; ++a) {
for (int b = rstart; b < rend; ++b) {
if (a >= 0 && a < input_cols &&
b >= 0 && b < input_rows) {
int input_idx =
input_idx_base + a * input_ri + b * in_channel + l;
idx[c++] = input_idx;
#ifdef OWL_NDARRAY_MAX
TYPE t = *(input_ptr + input_idx);
if (PLT(acc,t)){
acc = t;
max_idx = input_idx;
}
#endif
}
}
}
#ifdef OWL_NDARRAY_AVG
for (int i = 0; i < c; i++) {
*(input_backward_ptr + idx[i]) += UPDATEFN (m, c);
}
#else
*(input_backward_ptr + max_idx) += UPDATEFN (m, c);
#endif
}
}
}
}
return Val_unit;
}
CAMLprim value FUN_BYTE (spatial_backward) (value * argv, int argn) {
return FUN_NATIVE (spatial_backward) (
argv[0], argv[1], argv[2], argv[3], argv[4], argv[5], argv[6], argv[7],
argv[8], argv[9], argv[10], argv[11], argv[12], argv[13], argv[14]
);
}
CAMLprim value FUN_NATIVE (cuboid) (
value vInput, value vOutput,
value vBatches, value vInput_cols, value vInput_rows,
value vInput_dpts, value vIn_channel,
value vKernel_cols, value vKernel_rows, value vKernel_dpts,
value vOutput_cols, value vOutput_rows, value vOutput_dpts,
value vDpt_stride, value vRow_stride, value vCol_stride,
value vPadding
) {
struct caml_ba_array *IN = Caml_ba_array_val(vInput);
struct caml_ba_array *OU = Caml_ba_array_val(vOutput);
TYPE *input_ptr = (TYPE *) IN->data;
TYPE *output_ptr = (TYPE *) OU->data;
int batches = Long_val(vBatches);
int input_cols = Long_val(vInput_cols);
int input_rows = Long_val(vInput_rows);
int input_dpts = Long_val(vInput_dpts);
int in_channel = Long_val(vIn_channel);
int kernel_cols = Long_val(vKernel_cols);
int kernel_rows = Long_val(vKernel_rows);
int kernel_dpts = Long_val(vKernel_dpts);
int output_cols = Long_val(vOutput_cols);
int output_rows = Long_val(vOutput_rows);
int output_dpts = Long_val(vOutput_dpts);
int dpt_stride = Long_val(vDpt_stride);
int row_stride = Long_val(vRow_stride);
int col_stride = Long_val(vCol_stride);
int padding = Long_val(vPadding);
const int output_crdi = output_cols * output_rows * output_dpts * in_channel;
const int output_rdi = output_rows * output_dpts * in_channel;
const int output_di = output_dpts * in_channel;
const int input_crdi = input_cols * input_rows * input_dpts * in_channel;
const int input_rdi = input_rows * input_dpts * in_channel;
const int input_di = input_dpts * in_channel;
memset(output_ptr, 0, batches * output_crdi * sizeof(TYPE));
int pd, pr, pc;
if (padding == 1) {
pc = 0; pr = 0; pd = 0;
} else {
int pad_cols = col_stride * (output_cols - 1) + kernel_cols - input_cols;
int pad_rows = row_stride * (output_rows - 1) + kernel_rows - input_rows;
int pad_dpts = dpt_stride * (output_dpts - 1) + kernel_dpts - input_dpts;
pc = pad_cols / 2; if (pc < 0) pc = 0;
pr = pad_rows / 2; if (pr < 0) pr = 0;
pd = pad_dpts / 2; if (pd < 0) pd = 0;
}
#ifdef _OPENMP
#pragma omp parallel for schedule(static)
#endif /* _OPENMP */
for (int i = 0; i < batches; ++i) {
const int input_idx_base = i * input_crdi;
const int output_idx_base_i = i * output_crdi;
for (int j = 0; j < output_cols; ++j) {
const int output_idx_base_j = output_idx_base_i + j * output_rdi;
for (int k = 0; k < output_rows; ++k) {
const int output_idx_base_k = output_idx_base_j + k * output_di;
for (int d = 0; d < output_dpts; ++d) {
const int output_idx_base = output_idx_base_k + d * in_channel;
const int cstart = j * col_stride - pc;
const int rstart = k * row_stride - pr;
const int dstart = d * dpt_stride - pd;
const int cend = cstart + kernel_cols;
const int rend = rstart + kernel_rows;
const int dend = dstart + kernel_dpts;
for (int l = 0; l < in_channel; ++l) {
TYPE acc = INITACC;
int counter = 0;
for (int a = cstart; a < cend; ++a) {
for (int b = rstart; b < rend; ++b) {
for (int c = dstart; c < dend; ++c){
if (a >= 0 && a < input_cols &&
b >= 0 && b < input_rows &&
c >= 0 && c < input_dpts) {
int input_idx =
input_idx_base + a * input_rdi + b * input_di +
c * in_channel + l;
TYPE t = *(input_ptr + input_idx);
ACCFN (acc, t);
counter++;
}
}
}
}
int output_idx = output_idx_base + l;
*(output_ptr + output_idx) = UPDATEFN (acc, counter);
}
}
}
}
}
return Val_unit;
}
CAMLprim value FUN_BYTE (cuboid) (value * argv, int argn) {
return FUN_NATIVE (cuboid) (
argv[0], argv[1], argv[2], argv[3], argv[4], argv[5], argv[6], argv[7],
argv[8], argv[9], argv[10], argv[11], argv[12], argv[13], argv[14],
argv[15], argv[16]
);
}
CAMLprim value FUN_NATIVE (cuboid_backward) (
value vInput, value vOutput_back, value vInput_back,
value vBatches, value vInput_cols, value vInput_rows,
value vInput_dpts, value vIn_channel,
value vKernel_cols, value vKernel_rows, value vKernel_dpts,
value vOutput_cols, value vOutput_rows, value vOutput_dpts,
value vCol_stride, value vRow_stride, value vDpt_stride,
value vPadding
) {
struct caml_ba_array *IN = Caml_ba_array_val(vInput);
struct caml_ba_array *OUB = Caml_ba_array_val(vOutput_back);
struct caml_ba_array *INB = Caml_ba_array_val(vInput_back);
TYPE *input_ptr = (TYPE *) IN->data;
TYPE *output_backward_ptr = (TYPE *) OUB->data;
TYPE *input_backward_ptr = (TYPE *) INB->data;
int batches = Long_val(vBatches);
int input_cols = Long_val(vInput_cols);
int input_rows = Long_val(vInput_rows);
int input_dpts = Long_val(vInput_dpts);
int in_channel = Long_val(vIn_channel);
int kernel_cols = Long_val(vKernel_cols);
int kernel_rows = Long_val(vKernel_rows);
int kernel_dpts = Long_val(vKernel_dpts);
int output_cols = Long_val(vOutput_cols);
int output_rows = Long_val(vOutput_rows);
int output_dpts = Long_val(vOutput_dpts);
int col_stride = Long_val(vCol_stride);
int row_stride = Long_val(vRow_stride);
int dpt_stride = Long_val(vDpt_stride);
int padding = Long_val(vPadding);
const int ksize = kernel_cols * kernel_rows * kernel_dpts;
const int output_crdi = output_cols * output_rows * output_dpts * in_channel;
const int output_rdi = output_rows * output_dpts * in_channel;
const int output_di = output_dpts * in_channel;
const int input_crdi = input_cols * input_rows * input_dpts * in_channel;
const int input_rdi = input_rows * input_dpts * in_channel;
const int input_di = input_dpts * in_channel;
int pd, pr, pc;
if (padding == 1) {
pc = 0; pr = 0; pd = 0;
} else {
int pad_cols = col_stride * (output_cols - 1) + kernel_cols - input_cols;
int pad_rows = row_stride * (output_rows - 1) + kernel_rows - input_rows;
int pad_dpts = dpt_stride * (output_dpts - 1) + kernel_dpts - input_dpts;
pc = pad_cols / 2; if (pc < 0) pc = 0;
pr = pad_rows / 2; if (pr < 0) pr = 0;
pd = pad_dpts / 2; if (pd < 0) pd = 0;
}
memset(input_backward_ptr, 0, batches * input_crdi * sizeof(TYPE));
#ifdef _OPENMP
#pragma omp parallel for schedule(static)
#endif /* _OPENMP */
for (int i = 0; i < batches; ++i) {
const int input_idx_base = i * input_crdi;
const int output_idx_base_i = i * output_crdi;
for (int j = 0; j < output_cols; ++j) {
const int output_idx_base_j = output_idx_base_i + j * output_rdi;
for (int k = 0; k < output_rows; ++k) {
const int output_idx_base_k = output_idx_base_j + k * output_di;
for (int d = 0; d < output_dpts; ++d) {
const int output_idx_base = output_idx_base_k + d * in_channel;
const int cstart = j * col_stride - pc;
const int rstart = k * row_stride - pr;
const int dstart = d * dpt_stride - pd;
const int cend = cstart + kernel_cols;
const int rend = rstart + kernel_rows;
const int dend = dstart + kernel_dpts;
for (int l = 0; l < in_channel; ++l) {
TYPE m;
int output_idx = output_idx_base + l;
m = *(output_backward_ptr + output_idx);
int idx[ksize];
memset(idx, 0, ksize * sizeof(int));
TYPE acc = INITACC;
int max_idx = 0;
int counter = 0;
for (int a = cstart; a < cend; ++a) {
for (int b = rstart; b < rend; ++b) {
for (int c = dstart; c < dend; ++c) {
if (a >= 0 && a < input_cols &&
b >= 0 && b < input_rows &&
c >= 0 && c < input_dpts) {
int input_idx =
input_idx_base + a * input_rdi + b * input_di +
c * in_channel + l;
idx[counter++] = input_idx;
#ifdef OWL_NDARRAY_MAX
TYPE t = *(input_ptr + input_idx);
if (PLT(acc,t)){
acc = t;
max_idx = input_idx;
}
#endif
}
}
}
}
#ifdef OWL_NDARRAY_AVG
for (int i = 0; i < counter; i++) {
*(input_backward_ptr + idx[i]) += UPDATEFN (m, counter);
}
#else
*(input_backward_ptr + max_idx) += UPDATEFN (m, counter);
#endif
}
}
}
}
}
return Val_unit;
}
CAMLprim value FUN_BYTE (cuboid_backward) (value * argv, int argn) {
return FUN_NATIVE (cuboid_backward) (
argv[0], argv[1], argv[2], argv[3], argv[4], argv[5], argv[6], argv[7],
argv[8], argv[9], argv[10], argv[11], argv[12], argv[13], argv[14],
argv[15], argv[16], argv[17]
);
}
#ifdef OWL_NDARRAY_MAX
CAMLprim value FUN_NATIVE (spatial_arg) (
value vInput_ptr, value vOutput_ptr, value vArgmax_ptr,
value vBatches, value vInput_cols, value vInput_rows, value vIn_channel,
value vKernel_cols, value vKernel_rows,
value vOutput_cols, value vOutput_rows,
value vRow_stride, value vCol_stride,
value vPad_rows, value vPad_cols
) {
struct caml_ba_array *IN = Caml_ba_array_val(vInput_ptr);
struct caml_ba_array *OU = Caml_ba_array_val(vOutput_ptr);
struct caml_ba_array *AG = Caml_ba_array_val(vArgmax_ptr);
TYPE *input_ptr = (TYPE *) IN->data;
TYPE *output_ptr = (TYPE *) OU->data;
int64_t *argmax_ptr = (int64_t *) AG->data;
int batches = Long_val(vBatches);
int input_cols = Long_val(vInput_cols);
int input_rows = Long_val(vInput_rows);
int in_channel = Long_val(vIn_channel);
int kernel_cols = Long_val(vKernel_cols);
int kernel_rows = Long_val(vKernel_rows);
int output_cols = Long_val(vOutput_cols);
int output_rows = Long_val(vOutput_rows);
int row_stride = Long_val(vRow_stride);
int col_stride = Long_val(vCol_stride);
int pad_rows = Long_val(vPad_rows);
int pad_cols = Long_val(vPad_cols);
if (pad_rows < 0) pad_rows = 0.;
if (pad_cols < 0) pad_cols = 0.;
const int input_cri = input_cols * input_rows * in_channel;
const int input_ri = input_rows * in_channel;
const int output_cri = output_cols * output_rows * in_channel;
const int output_ri = output_rows * in_channel;
memset(output_ptr, 0, batches * output_cri * sizeof(TYPE));
memset(argmax_ptr, 0, batches * output_cri * sizeof(int64_t));
#ifdef _OPENMP
#pragma omp parallel for schedule(static)
#endif /* _OPENMP */
for (int i = 0; i < batches; ++i) {
const int input_idx_base = i * input_cri;
const int output_idx_base_i = i * output_cri;
for (int j = 0; j < output_cols; ++j) {
const int output_idx_base_j = output_idx_base_i + j * output_ri;
for (int k = 0; k < output_rows; ++k) {
const int output_idx_base = output_idx_base_j + k * in_channel;
const int cstart = j * col_stride - pad_cols;
const int rstart = k * row_stride - pad_rows;
const int cend = cstart + kernel_cols;
const int rend = rstart + kernel_rows;
for (int l = 0; l < in_channel; ++l) {
TYPE acc = INITACC;
int max_idx = -1;
int c = 0;
for (int a = cstart; a < cend; ++a) {
for (int b = rstart; b < rend; ++b) {
if (a >= 0 && a < input_cols &&
b >= 0 && b < input_rows) {
int input_idx =
input_idx_base + a * input_ri + b * in_channel + l;
TYPE t = *(input_ptr + input_idx);
if (PLT(acc,t)){
acc = t;
max_idx = input_idx;
}
c++;
}
}
}
int output_idx = output_idx_base + l;
*(output_ptr + output_idx) = acc;
*(argmax_ptr + output_idx) = (int64_t) max_idx;
}
}
}
}
return Val_unit;
}
CAMLprim value FUN_BYTE (spatial_arg) (value * argv, int argn) {
return FUN_NATIVE (spatial_arg) (
argv[0], argv[1], argv[2], argv[3], argv[4], argv[5], argv[6], argv[7],
argv[8], argv[9], argv[10], argv[11], argv[12], argv[13], argv[14]
);
}
#endif /* OWL_NDARRAY_MAX */
#endif /* OWL_ENABLE_TEMPLATE */
|
sbessel.h | // Copyright (c) 2013-2017 Anton Kozhevnikov, Thomas Schulthess
// 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.
/** \file sbessel.h
*
* \brief Contains implementation of sirius::Spherical_Bessel_functions and sirius::sbessel_approx classes.
*/
#ifndef __SBESSEL_PW_H__
#define __SBESSEL_PW_H__
#include "eigenproblem.h"
#include "unit_cell.h"
namespace sirius
{
/// Spherical Bessel functions \f$ j_{\ell}(q x) \f$ up to lmax.
class Spherical_Bessel_functions
{
private:
int lmax_{-1};
double q_{0};
Radial_grid const* rgrid_{nullptr};
std::vector<Spline<double>> sbessel_;
public:
Spherical_Bessel_functions()
{
}
Spherical_Bessel_functions(int lmax__, Radial_grid const& rgrid__, double q__)
: lmax_(lmax__)
, q_(q__)
, rgrid_(&rgrid__)
{
assert(q_ >= 0);
sbessel_ = std::vector<Spline<double>>(lmax__ + 2);
for (int l = 0; l <= lmax__ + 1; l++) {
sbessel_[l] = Spline<double>(rgrid__);
}
std::vector<double> jl(lmax__ + 2);
for (int ir = 0; ir < rgrid__.num_points(); ir++) {
double t = rgrid__[ir] * q__;
gsl_sf_bessel_jl_array(lmax__ + 1, t, &jl[0]);
for (int l = 0; l <= lmax__ + 1; l++) {
sbessel_[l][ir] = jl[l];
}
}
for (int l = 0; l <= lmax__ + 1; l++) {
sbessel_[l].interpolate();
}
}
Spline<double> const& operator[](int l__) const
{
assert(l__ <= lmax_);
return sbessel_[l__];
}
/// Derivative of Bessel function with respect to q.
/** \f[
* \frac{\partial j_{\ell}(q x)}{\partial q} = \frac{\ell}{q} j_{\ell}(q x) - x j_{\ell+1}(q x)
* \f]
*/
Spline<double> deriv_q(int l__)
{
assert(l__ <= lmax_);
assert(q_ >= 0);
Spline<double> s(*rgrid_);
if (q_ != 0) {
for (int ir = 0; ir < rgrid_->num_points(); ir++) {
s[ir] = (l__ / q_) * sbessel_[l__][ir] - (*rgrid_)[ir] * sbessel_[l__ + 1][ir];
}
} else {
if (l__ == 1) {
for (int ir = 0; ir < rgrid_->num_points(); ir++) {
s[ir] = (*rgrid_)[ir] / 3;
}
}
}
s.interpolate();
return std::move(s);
}
};
class sbessel_approx
{
private:
Unit_cell const& unit_cell_;
int lmax_;
mdarray<std::vector<double>, 2> qnu_;
mdarray<double, 4> coeffs_;
int nqnu_max_;
static double sbessel_l2norm(double nu, int l, double R)
{
if (std::abs(nu) < 1e-10) TERMINATE_NOT_IMPLEMENTED;
if (l == 0)
{
return (nu * R * 2 - std::sin(nu * R * 2)) / 4 / std::pow(nu, 3);
}
else
{
double jl[l + 2];
gsl_sf_bessel_jl_array(l + 1, R * nu, &jl[0]);
return std::pow(R, 3) * (jl[l] * jl[l] - jl[l + 1] * jl[l - 1]) / 2;
}
}
public:
sbessel_approx(Unit_cell const& unit_cell__,
int lmax__,
double const qmin__,
double const qmax__,
double const eps__)
: unit_cell_(unit_cell__),
lmax_(lmax__)
{
PROFILE("sirius::sbessel_approx");
qnu_ = mdarray<std::vector<double>, 2>(lmax_ + 1, unit_cell_.num_atom_types());
#pragma omp parallel for
for (int l = 0; l <= lmax_; l++)
{
for (int iat = 0; iat < unit_cell_.num_atom_types(); iat++)
{
qnu_(l, iat) = build_approx_freq(qmin__, qmax__, l, unit_cell_.atom_type(iat).mt_radius(), eps__);
}
}
nqnu_max_ = 0;
for (int l = 0; l <= lmax_; l++)
{
for (int iat = 0; iat < unit_cell_.num_atom_types(); iat++)
{
nqnu_max_ = std::max(nqnu_max_, static_cast<int>(qnu_(l, iat).size()));
}
}
}
void approximate(std::vector<double> const& q__)
{
PROFILE("sirius::sbessel_approx::approximate");
coeffs_ = mdarray<double, 4>(nqnu_max_, q__.size(), lmax_ + 1, unit_cell_.num_atom_types());
#pragma omp parallel for
for (int l = 0; l <= lmax_; l++)
{
for (int iat = 0; iat < unit_cell_.num_atom_types(); iat++)
{
int n = nqnu(l, iat);
mdarray<double, 2> A(n, n);
for (int iq = 0; iq < n; iq++)
{
for (int jq = 0; jq <= iq; jq++)
{
A(jq, iq) = A(iq, jq) = overlap(qnu_(l, iat)[jq], qnu_(l, iat)[iq], l,
unit_cell_.atom_type(iat).mt_radius());
}
for (int j = 0; j < (int)q__.size(); j++)
{
if (std::abs(q__[j]) < 1e-12)
{
coeffs_(iq, j, l, iat) = 0;
}
else
{
coeffs_(iq, j, l, iat) = overlap(qnu_(l, iat)[iq], q__[j], l,
unit_cell_.atom_type(iat).mt_radius());
}
}
}
linalg<CPU>::gesv(n, (int)q__.size(), A.at<CPU>(), A.ld(), &coeffs_(0, 0, l, iat), coeffs_.ld());
}
}
}
inline double qnu(int const iq, int const l, int const iat)
{
return qnu_(l, iat)[iq];
}
inline int nqnu(int const l, int const iat)
{
return static_cast<int>(qnu_(l, iat).size());
}
inline int nqnu_max()
{
return nqnu_max_;
}
inline double coeff(int const iq, int const j, int const l, int const iat)
{
return coeffs_(iq, j, l, iat);
}
// \int_0^{R} j(nu1 * r) * j(nu2 * r) * r^2 dr
// this integral can be computed analytically
static double overlap(double nu1__, double nu2__, int l__, double R__)
{
if (std::abs(nu1__) < 1e-10 || std::abs(nu2__) < 1e-10) TERMINATE_NOT_IMPLEMENTED;
if (std::abs(nu1__ - nu2__) < 1e-12)
{
if (l__ == 0)
{
return (nu2__ * R__ * 2 - std::sin(nu2__ * R__ * 2)) / 4 / std::pow(nu2__, 3);
}
else
{
double jl[l__ + 2];
gsl_sf_bessel_jl_array(l__ + 1, R__ * nu2__, &jl[0]);
return std::pow(R__, 3) * (jl[l__] * jl[l__] - jl[l__ + 1] * jl[l__ - 1]) / 2;
}
}
else
{
if (l__ == 0)
{
return (nu2__ * std::cos(nu2__ * R__) * std::sin(nu1__ * R__) - nu1__ * std::cos(nu1__ * R__) * std::sin(nu2__ * R__)) /
(std::pow(nu1__, 3) * nu2__ - nu1__ * std::pow(nu2__, 3));
}
else
{
double j1[l__ + 2];
gsl_sf_bessel_jl_array(l__ + 1, R__ * nu1__, &j1[0]);
double j2[l__ + 2];
gsl_sf_bessel_jl_array(l__ + 1, R__ * nu2__, &j2[0]);
return std::pow(R__, 2) * (nu2__ * j2[l__ - 1] * j1[l__] - nu1__ * j1[l__ - 1] * j2[l__]) / (std::pow(nu1__, 2) - std::pow(nu2__, 2));
}
}
}
std::vector<double> build_approx_freq(double const qmin__,
double const qmax__,
int const l__,
double const R__,
double const eps__)
{
std::vector<double> qnu;
double min_val;
int n = 2;
do
{
n++;
qnu.resize(n);
for (int i = 0; i < n; i++) qnu[i] = qmin__ + (qmax__ - qmin__) * i / (n - 1);
mdarray<double_complex, 2> ovlp(n, n);
for (int i = 0; i < n; i++)
{
for (int j = 0; j <= i; j++)
{
double o = overlap(qnu[j], qnu[i], l__, R__);
ovlp(j, i) = o / sbessel_l2norm(qnu[i], l__, R__) / sbessel_l2norm(qnu[j], l__, R__);
}
}
std::vector<double> eval(n);
mdarray<double_complex, 2> z(n, n);
Eigenproblem_lapack solver;
solver.solve(n, ovlp.at<CPU>(), n, &eval[0], z.at<CPU>(), n);
min_val = eval[0];
} while (min_val > eps__);
return qnu;
}
};
class Spherical_Bessel_approximant
{
private:
int lmax_;
double R_;
/// List of Bessel function scaling factors for each angular momentum.
std::vector< std::vector<double> > qnu_;
//mdarray<double, 4> coeffs_;
int nqnu_max_;
static double sbessel_l2norm(double nu, int l, double R)
{
if (std::abs(nu) < 1e-10)
{
if (l == 0) return std::pow(R, 3) / 3.0;
return 0;
}
if (l == 0)
{
return (nu * R * 2 - std::sin(nu * R * 2)) / 4 / std::pow(nu, 3);
}
else
{
double jl[l + 2];
gsl_sf_bessel_jl_array(l + 1, R * nu, &jl[0]);
return std::pow(R, 3) * (jl[l] * jl[l] - jl[l + 1] * jl[l - 1]) / 2;
}
}
public:
Spherical_Bessel_approximant(int lmax__,
double R__,
double const qmin__,
double const qmax__,
double const eps__)
: lmax_(lmax__),
R_(R__)
{
PROFILE("sirius::Spherical_Bessel_approximant");
qnu_ = std::vector< std::vector<double> >(lmax_ + 1);
#pragma omp parallel for
for (int l = 0; l <= lmax_; l++)
qnu_[l] = build_approx_freq(qmin__, qmax__, l, R_, eps__);
nqnu_max_ = 0;
for (int l = 0; l <= lmax_; l++)
nqnu_max_ = std::max(nqnu_max_, nqnu(l));
}
std::vector<double> approximate(int l__, double nu__)
{
int n = nqnu(l__);
std::vector<double> x(n);
matrix<double> A(n, n);
for (int iq = 0; iq < n; iq++)
{
for (int jq = 0; jq <= iq; jq++)
{
A(jq, iq) = A(iq, jq) = overlap(qnu(jq, l__), qnu(iq, l__), l__, R_);
}
x[iq] = overlap(qnu(iq, l__), nu__, l__, R_);
}
linalg<CPU>::gesv(n, 1, A.at<CPU>(), A.ld(), &x[0], n);
return x;
}
void approximate(std::vector<double> const& q__)
{
//runtime::Timer t("sirius::sbessel_approx::approximate");
//coeffs_ = mdarray<double, 4>(nqnu_max_, q__.size(), lmax_ + 1, unit_cell_.num_atom_types());
//
//#pragma omp parallel for
//for (int l = 0; l <= lmax_; l++)
//{
// for (int iat = 0; iat < unit_cell_.num_atom_types(); iat++)
// {
// int n = nqnu(l, iat);
// mdarray<double, 2> A(n, n);
// for (int iq = 0; iq < n; iq++)
// {
// for (int jq = 0; jq <= iq; jq++)
// {
// A(jq, iq) = A(iq, jq) = overlap(qnu_(l, iat)[jq], qnu_(l, iat)[iq], l,
// unit_cell_.atom_type(iat).mt_radius());
// }
// for (int j = 0; j < (int)q__.size(); j++)
// {
// if (std::abs(q__[j]) < 1e-12)
// {
// coeffs_(iq, j, l, iat) = 0;
// }
// else
// {
// coeffs_(iq, j, l, iat) = overlap(qnu_(l, iat)[iq], q__[j], l,
// unit_cell_.atom_type(iat).mt_radius());
// }
// }
// }
// linalg<CPU>::gesv(n, (int)q__.size(), A.at<CPU>(), A.ld(), &coeffs_(0, 0, l, iat), coeffs_.ld());
// }
//}
}
inline double qnu(int const iq, int const l) const
{
return qnu_[l][iq];
}
inline int nqnu(int const l) const
{
return static_cast<int>(qnu_[l].size());
}
inline int nqnu_max() const
{
return nqnu_max_;
}
//inline double coeff(int const iq, int const j, int const l, int const iat)
//{
// return coeffs_(iq, j, l, iat);
//}
//
// \int_0^{R} j(nu1 * r) * j(nu2 * r) * r^2 dr
// this integral can be computed analytically
static double overlap(double nu1__, double nu2__, int l__, double R__)
{
if (std::abs(nu1__) < 1e-10 && std::abs(nu2__) < 1e-10 && l__ == 0) return std::pow(R__, 3) / 3.0;
if ((std::abs(nu1__) < 1e-10 || std::abs(nu2__) < 1e-10) && l__ > 0) return 0;
if ((std::abs(nu1__) < 1e-10 || std::abs(nu2__) < 1e-10) && l__ == 0)
{
double nu = std::max(nu1__, nu2__);
double nuR = nu * R__;
return (std::sin(nuR) - nuR * std::cos(nuR)) / std::pow(nu, 3);
}
if (std::abs(nu1__ - nu2__) < 1e-12)
{
if (l__ == 0)
{
return (nu2__ * R__ * 2 - std::sin(nu2__ * R__ * 2)) / 4 / std::pow(nu2__, 3);
}
else
{
double jl[l__ + 2];
gsl_sf_bessel_jl_array(l__ + 1, R__ * nu2__, &jl[0]);
return std::pow(R__, 3) * (jl[l__] * jl[l__] - jl[l__ + 1] * jl[l__ - 1]) / 2;
}
}
else
{
if (l__ == 0)
{
return (nu2__ * std::cos(nu2__ * R__) * std::sin(nu1__ * R__) - nu1__ * std::cos(nu1__ * R__) * std::sin(nu2__ * R__)) /
(std::pow(nu1__, 3) * nu2__ - nu1__ * std::pow(nu2__, 3));
}
else
{
double j1[l__ + 2];
gsl_sf_bessel_jl_array(l__ + 1, R__ * nu1__, &j1[0]);
double j2[l__ + 2];
gsl_sf_bessel_jl_array(l__ + 1, R__ * nu2__, &j2[0]);
return std::pow(R__, 2) * (nu2__ * j2[l__ - 1] * j1[l__] - nu1__ * j1[l__ - 1] * j2[l__]) / (std::pow(nu1__, 2) - std::pow(nu2__, 2));
}
}
TERMINATE("this is wrong");
return -1;
}
std::vector<double> build_approx_freq(double const qmin__,
double const qmax__,
int const l__,
double const R__,
double const eps__)
{
std::vector<double> qnu;
double min_val;
int n = 2;
do
{
n++;
qnu.resize(n);
for (int i = 0; i < n; i++) qnu[i] = qmin__ + (qmax__ - qmin__) * i / (n - 1);
matrix<double> ovlp(n, n);
for (int i = 0; i < n; i++)
{
for (int j = 0; j <= i; j++)
{
double o = overlap(qnu[j], qnu[i], l__, R__);
ovlp(j, i) = o / sbessel_l2norm(qnu[i], l__, R__) / sbessel_l2norm(qnu[j], l__, R__);
}
}
std::vector<double> eval(n);
matrix<double> z(n, n);
Eigenproblem_lapack solver;
solver.solve(n, ovlp.at<CPU>(), n, &eval[0], z.at<CPU>(), n);
min_val = eval[0];
} while (min_val > eps__);
return qnu;
}
};
class Spherical_Bessel_approximant2
{
private:
int lmax_;
double R_;
/// List of Bessel function scaling factors for each angular momentum.
std::vector<double> qnu_;
static double sbessel_l2norm(double nu, int l, double R)
{
if (std::abs(nu) < 1e-10)
{
if (l == 0) return std::pow(R, 3) / 3.0;
return 0;
}
if (l == 0)
{
return (nu * R * 2 - std::sin(nu * R * 2)) / 4 / std::pow(nu, 3);
}
else
{
double jl[l + 2];
gsl_sf_bessel_jl_array(l + 1, R * nu, &jl[0]);
return std::pow(R, 3) * (jl[l] * jl[l] - jl[l + 1] * jl[l - 1]) / 2;
}
}
public:
Spherical_Bessel_approximant2(int lmax__,
double R__,
double const qmin__,
double const qmax__,
int nq__)
: lmax_(lmax__),
R_(R__)
{
PROFILE("sirius::Spherical_Bessel_approximant");
int nq = nfreq(qmin__, qmax__, 0, R__, 1e-12);
qnu_.resize(nq);
for (int i = 0; i < nq; i++) qnu_[i] = qmin__ + (qmax__ - qmin__) * i / (nq - 1);
}
std::vector<double> approximate(int l__, double nu__)
{
int n = nqnu();
std::vector<double> x(n);
matrix<double> A(n, n);
for (int iq = 0; iq < n; iq++)
{
for (int jq = 0; jq <= iq; jq++)
{
A(jq, iq) = A(iq, jq) = overlap(qnu(jq), qnu(iq), l__, R_);
}
x[iq] = overlap(qnu(iq), nu__, l__, R_);
}
linalg<CPU>::gesv(n, 1, A.at<CPU>(), A.ld(), &x[0], n);
return x;
}
inline double qnu(int const iq) const
{
return qnu_[iq];
}
inline int nqnu() const
{
return static_cast<int>(qnu_.size());
}
// \int_0^{R} j(nu1 * r) * j(nu2 * r) * r^2 dr
// this integral can be computed analytically
static double overlap(double nu1__, double nu2__, int l__, double R__)
{
if (std::abs(nu1__) < 1e-10 && std::abs(nu2__) < 1e-10 && l__ == 0) return std::pow(R__, 3) / 3.0;
if ((std::abs(nu1__) < 1e-10 || std::abs(nu2__) < 1e-10) && l__ > 0) return 0;
if ((std::abs(nu1__) < 1e-10 || std::abs(nu2__) < 1e-10) && l__ == 0)
{
double nu = std::max(nu1__, nu2__);
double nuR = nu * R__;
return (std::sin(nuR) - nuR * std::cos(nuR)) / std::pow(nu, 3);
}
if (std::abs(nu1__ - nu2__) < 1e-12)
{
if (l__ == 0)
{
return (nu2__ * R__ * 2 - std::sin(nu2__ * R__ * 2)) / 4 / std::pow(nu2__, 3);
}
else
{
std::vector<double> jl(l__ + 2);
gsl_sf_bessel_jl_array(l__ + 1, R__ * nu2__, &jl[0]);
return std::pow(R__, 3) * (jl[l__] * jl[l__] - jl[l__ + 1] * jl[l__ - 1]) / 2;
}
}
else
{
if (l__ == 0)
{
return (nu2__ * std::cos(nu2__ * R__) * std::sin(nu1__ * R__) - nu1__ * std::cos(nu1__ * R__) * std::sin(nu2__ * R__)) /
(std::pow(nu1__, 3) * nu2__ - nu1__ * std::pow(nu2__, 3));
}
else
{
std::vector<double> j1(l__ + 2);
gsl_sf_bessel_jl_array(l__ + 1, R__ * nu1__, &j1[0]);
std::vector<double> j2(l__ + 2);
gsl_sf_bessel_jl_array(l__ + 1, R__ * nu2__, &j2[0]);
return std::pow(R__, 2) * (nu2__ * j2[l__ - 1] * j1[l__] - nu1__ * j1[l__ - 1] * j2[l__]) / (std::pow(nu1__, 2) - std::pow(nu2__, 2));
}
}
TERMINATE("this is wrong");
return -1;
}
int nfreq(double const qmin__,
double const qmax__,
int const l__,
double const R__,
double const eps__)
{
std::vector<double> qnu;
double min_val;
int n = 2;
do
{
n++;
qnu.resize(n);
for (int i = 0; i < n; i++) qnu[i] = qmin__ + (qmax__ - qmin__) * i / (n - 1);
matrix<double> ovlp(n, n);
for (int i = 0; i < n; i++)
{
for (int j = 0; j <= i; j++)
{
double o = overlap(qnu[j], qnu[i], l__, R__);
ovlp(j, i) = o / sbessel_l2norm(qnu[i], l__, R__) / sbessel_l2norm(qnu[j], l__, R__);
}
}
std::vector<double> eval(n);
matrix<double> z(n, n);
Eigenproblem_lapack solver;
solver.solve(n, ovlp.at<CPU>(), n, &eval[0], z.at<CPU>(), n);
min_val = eval[0];
if (n > 100) return 100;
} while (min_val > eps__);
return n;
}
};
};
#endif
|
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#define PyIntObject PyLongObject
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#define PyInt_Check(op) PyLong_Check(op)
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#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
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#define PyNumber_Int PyNumber_Long
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#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) : PyInstanceMethod_New(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)
#elif CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3
typedef struct {
unaryfunc am_await;
unaryfunc am_aiter;
unaryfunc am_anext;
} __Pyx_PyAsyncMethodsStruct;
#define __Pyx_PyType_AsAsync(obj) ((__Pyx_PyAsyncMethodsStruct*) (Py_TYPE(obj)->tp_reserved))
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#ifndef CYTHON_RESTRICT
#if defined(__GNUC__)
#define CYTHON_RESTRICT __restrict__
#elif defined(_MSC_VER) && _MSC_VER >= 1400
#define CYTHON_RESTRICT __restrict
#elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L
#define CYTHON_RESTRICT restrict
#else
#define CYTHON_RESTRICT
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#define __Pyx_void_to_None(void_result) ((void)(void_result), Py_INCREF(Py_None), Py_None)
#ifndef CYTHON_INLINE
#if defined(__GNUC__)
#define CYTHON_INLINE __inline__
#elif defined(_MSC_VER)
#define CYTHON_INLINE __inline
#elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L
#define CYTHON_INLINE inline
#else
#define CYTHON_INLINE
#endif
#endif
#if defined(WIN32) || defined(MS_WINDOWS)
#define _USE_MATH_DEFINES
#endif
#include <math.h>
#ifdef NAN
#define __PYX_NAN() ((float) NAN)
#else
static CYTHON_INLINE float __PYX_NAN() {
float value;
memset(&value, 0xFF, sizeof(value));
return value;
}
#endif
#define __PYX_ERR(f_index, lineno, Ln_error) \
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__pyx_filename = __pyx_f[f_index]; __pyx_lineno = lineno; __pyx_clineno = __LINE__; goto Ln_error; \
}
#if PY_MAJOR_VERSION >= 3
#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)
#define __Pyx_PyNumber_InPlaceDivide(x,y) PyNumber_InPlaceDivide(x,y)
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#ifndef __PYX_EXTERN_C
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#define __PYX_EXTERN_C extern "C"
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#define __PYX_EXTERN_C extern
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#define __PYX_HAVE__facedist32
#define __PYX_HAVE_API__facedist32
#include "string.h"
#include "stdio.h"
#include "stdlib.h"
#include "numpy/arrayobject.h"
#include "numpy/ufuncobject.h"
#include "math.h"
#ifdef _OPENMP
#include <omp.h>
#endif /* _OPENMP */
#ifdef PYREX_WITHOUT_ASSERTIONS
#define CYTHON_WITHOUT_ASSERTIONS
#endif
#ifndef CYTHON_UNUSED
# if defined(__GNUC__)
# if !(defined(__cplusplus)) || (__GNUC__ > 3 || (__GNUC__ == 3 && __GNUC_MINOR__ >= 4))
# define CYTHON_UNUSED __attribute__ ((__unused__))
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# define CYTHON_UNUSED
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# elif defined(__ICC) || (defined(__INTEL_COMPILER) && !defined(_MSC_VER))
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# if CYTHON_COMPILING_IN_CPYTHON
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# else
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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_DEFAULT 0
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#define __Pyx_PyObject_FromString __Pyx_PyBytes_FromString
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#define __Pyx_uchar_cast(c) ((unsigned char)c)
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(sizeof(type) > sizeof(Py_ssize_t) &&\
likely(v < (type)PY_SSIZE_T_MAX ||\
v == (type)PY_SSIZE_T_MAX) &&\
(!is_signed || likely(v > (type)PY_SSIZE_T_MIN ||\
v == (type)PY_SSIZE_T_MIN))) ||\
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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)
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#define __Pyx_sst_abs(value) labs(value)
#elif defined (_MSC_VER) && defined (_M_X64)
#define __Pyx_sst_abs(value) _abs64(value)
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#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 char* __Pyx_PyObject_AsString(PyObject*);
static CYTHON_INLINE 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_PyObject_AsSString(s) ((signed char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_AsUString(s) ((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)
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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);
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#define __Pyx_Py_UNICODE_strlen Py_UNICODE_strlen
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#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)
#define __Pyx_PyBool_FromLong(b) ((b) ? __Pyx_NewRef(Py_True) : __Pyx_NewRef(Py_False))
static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject*);
static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x);
static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject*);
static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t);
#if CYTHON_COMPILING_IN_CPYTHON
#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))
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#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;
}
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/* "../../../../../intel/intelpython27/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":726
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/* "../../../../../intel/intelpython27/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":727
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/* "../../../../../intel/intelpython27/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":728
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/* "../../../../../intel/intelpython27/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":732
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/* "../../../../../intel/intelpython27/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":733
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}
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 CYTHON_INLINE PyObject *
__pyx_buffmt_parse_array(__Pyx_BufFmt_Context* ctx, const char** tsp)
{
const char *ts = *tsp;
int i = 0, number;
int ndim = ctx->head->field->type->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;
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_IsLittleEndian()) {
PyErr_SetString(PyExc_ValueError, "Little-endian buffer not supported on big-endian compiler");
return NULL;
}
ctx->new_packmode = '=';
++ts;
break;
case '>':
case '!':
if (__Pyx_IsLittleEndian()) {
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;
}
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->enc_count += ctx->new_count;
ctx->new_count = 1;
got_Z = 0;
++ts;
break;
}
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;
}
}
}
}
static CYTHON_INLINE void __Pyx_ZeroBuffer(Py_buffer* buf) {
buf->buf = NULL;
buf->obj = NULL;
buf->strides = __Pyx_zeros;
buf->shape = __Pyx_zeros;
buf->suboffsets = __Pyx_minusones;
}
static CYTHON_INLINE int __Pyx_GetBufferAndValidate(
Py_buffer* buf, PyObject* obj, __Pyx_TypeInfo* dtype, int flags,
int nd, int cast, __Pyx_BufFmt_StackElem* stack)
{
if (obj == Py_None || obj == NULL) {
__Pyx_ZeroBuffer(buf);
return 0;
}
buf->buf = NULL;
if (__Pyx_GetBuffer(obj, buf, flags) == -1) goto fail;
if (buf->ndim != nd) {
PyErr_Format(PyExc_ValueError,
"Buffer has wrong number of dimensions (expected %d, got %d)",
nd, buf->ndim);
goto fail;
}
if (!cast) {
__Pyx_BufFmt_Context ctx;
__Pyx_BufFmt_Init(&ctx, stack, dtype);
if (!__Pyx_BufFmt_CheckString(&ctx, buf->format)) goto fail;
}
if ((unsigned)buf->itemsize != dtype->size) {
PyErr_Format(PyExc_ValueError,
"Item size of buffer (%" CYTHON_FORMAT_SSIZE_T "d byte%s) does not match size of '%s' (%" CYTHON_FORMAT_SSIZE_T "d byte%s)",
buf->itemsize, (buf->itemsize > 1) ? "s" : "",
dtype->name, (Py_ssize_t)dtype->size, (dtype->size > 1) ? "s" : "");
goto fail;
}
if (buf->suboffsets == NULL) buf->suboffsets = __Pyx_minusones;
return 0;
fail:;
__Pyx_ZeroBuffer(buf);
return -1;
}
static CYTHON_INLINE void __Pyx_SafeReleaseBuffer(Py_buffer* info) {
if (info->buf == NULL) return;
if (info->suboffsets == __Pyx_minusones) info->suboffsets = NULL;
__Pyx_ReleaseBuffer(info);
}
/* GetItemInt */
static CYTHON_INLINE 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_COMPILING_IN_CPYTHON
if (wraparound & unlikely(i < 0)) i += PyList_GET_SIZE(o);
if ((!boundscheck) || likely((0 <= i) & (i < PyList_GET_SIZE(o)))) {
PyObject *r = PyList_GET_ITEM(o, 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_COMPILING_IN_CPYTHON
if (wraparound & unlikely(i < 0)) i += PyTuple_GET_SIZE(o);
if ((!boundscheck) || likely((0 <= i) & (i < PyTuple_GET_SIZE(o)))) {
PyObject *r = PyTuple_GET_ITEM(o, 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_COMPILING_IN_CPYTHON
if (is_list || PyList_CheckExact(o)) {
Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyList_GET_SIZE(o);
if ((!boundscheck) || (likely((n >= 0) & (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((n >= 0) & (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));
}
/* 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) {
#ifdef __Pyx_CyFunction_USED
if (likely(PyCFunction_Check(func) || PyObject_TypeCheck(func, __pyx_CyFunctionType))) {
#else
if (likely(PyCFunction_Check(func))) {
#endif
if (likely(PyCFunction_GET_FLAGS(func) & METH_O)) {
return __Pyx_PyObject_CallMethO(func, arg);
}
}
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
/* PyErrFetchRestore */
#if CYTHON_COMPILING_IN_CPYTHON
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 PY_VERSION_HEX >= 0x03030000
if (cause) {
#else
if (cause && cause != Py_None) {
#endif
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 = PyThreadState_GET();
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
/* 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");
}
/* 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_VERSION_HEX < 0x03030000
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 (strchr(__Pyx_MODULE_NAME, '.')) {
#if PY_VERSION_HEX < 0x03030000
PyObject *py_level = PyInt_FromLong(1);
if (!py_level)
goto bad;
module = PyObject_CallFunctionObjArgs(py_import,
name, global_dict, empty_dict, list, py_level, NULL);
Py_DECREF(py_level);
#else
module = PyImport_ImportModuleLevelObject(
name, global_dict, empty_dict, list, 1);
#endif
if (!module) {
if (!PyErr_ExceptionMatches(PyExc_ImportError))
goto bad;
PyErr_Clear();
}
}
level = 0;
}
#endif
if (!module) {
#if PY_VERSION_HEX < 0x03030000
PyObject *py_level = PyInt_FromLong(level);
if (!py_level)
goto bad;
module = PyObject_CallFunctionObjArgs(py_import,
name, global_dict, empty_dict, list, py_level, NULL);
Py_DECREF(py_level);
#else
module = PyImport_ImportModuleLevelObject(
name, global_dict, empty_dict, list, level);
#endif
}
}
bad:
#if PY_VERSION_HEX < 0x03030000
Py_XDECREF(py_import);
#endif
Py_XDECREF(empty_list);
Py_XDECREF(empty_dict);
return module;
}
/* 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;
}
/* 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;
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(
PyThreadState_GET(), /*PyThreadState *tstate,*/
py_code, /*PyCodeObject *code,*/
__pyx_d, /*PyObject *globals,*/
0 /*PyObject *locals*/
);
if (!py_frame) goto bad;
py_frame->f_lineno = 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 (PyObject_TypeCheck(obj, __pyx_ptype_5numpy_ndarray)) return __pyx_pw_5numpy_7ndarray_1__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 (PyObject_TypeCheck(obj, __pyx_ptype_5numpy_ndarray)) { __pyx_pw_5numpy_7ndarray_3__releasebuffer__(obj, view); return; }
Py_DECREF(obj);
view->obj = NULL;
}
#endif
/* None */
#if CYTHON_CCOMPLEX
#ifdef __cplusplus
static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) {
return ::std::complex< float >(x, y);
}
#else
static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) {
return x + y*(__pyx_t_float_complex)_Complex_I;
}
#endif
#else
static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) {
__pyx_t_float_complex z;
z.real = x;
z.imag = y;
return z;
}
#endif
/* None */
#if CYTHON_CCOMPLEX
#else
static CYTHON_INLINE int __Pyx_c_eqf(__pyx_t_float_complex a, __pyx_t_float_complex b) {
return (a.real == b.real) && (a.imag == b.imag);
}
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_sumf(__pyx_t_float_complex a, __pyx_t_float_complex b) {
__pyx_t_float_complex z;
z.real = a.real + b.real;
z.imag = a.imag + b.imag;
return z;
}
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_difff(__pyx_t_float_complex a, __pyx_t_float_complex b) {
__pyx_t_float_complex z;
z.real = a.real - b.real;
z.imag = a.imag - b.imag;
return z;
}
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_prodf(__pyx_t_float_complex a, __pyx_t_float_complex b) {
__pyx_t_float_complex z;
z.real = a.real * b.real - a.imag * b.imag;
z.imag = a.real * b.imag + a.imag * b.real;
return z;
}
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quotf(__pyx_t_float_complex a, __pyx_t_float_complex b) {
__pyx_t_float_complex z;
float denom = b.real * b.real + b.imag * b.imag;
z.real = (a.real * b.real + a.imag * b.imag) / denom;
z.imag = (a.imag * b.real - a.real * b.imag) / denom;
return z;
}
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_negf(__pyx_t_float_complex a) {
__pyx_t_float_complex z;
z.real = -a.real;
z.imag = -a.imag;
return z;
}
static CYTHON_INLINE int __Pyx_c_is_zerof(__pyx_t_float_complex a) {
return (a.real == 0) && (a.imag == 0);
}
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conjf(__pyx_t_float_complex a) {
__pyx_t_float_complex z;
z.real = a.real;
z.imag = -a.imag;
return z;
}
#if 1
static CYTHON_INLINE float __Pyx_c_absf(__pyx_t_float_complex z) {
#if !defined(HAVE_HYPOT) || defined(_MSC_VER)
return sqrtf(z.real*z.real + z.imag*z.imag);
#else
return hypotf(z.real, z.imag);
#endif
}
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_powf(__pyx_t_float_complex a, __pyx_t_float_complex b) {
__pyx_t_float_complex z;
float r, lnr, theta, z_r, z_theta;
if (b.imag == 0 && b.real == (int)b.real) {
if (b.real < 0) {
float denom = a.real * a.real + a.imag * a.imag;
a.real = a.real / denom;
a.imag = -a.imag / denom;
b.real = -b.real;
}
switch ((int)b.real) {
case 0:
z.real = 1;
z.imag = 0;
return z;
case 1:
return a;
case 2:
z = __Pyx_c_prodf(a, a);
return __Pyx_c_prodf(a, a);
case 3:
z = __Pyx_c_prodf(a, a);
return __Pyx_c_prodf(z, a);
case 4:
z = __Pyx_c_prodf(a, a);
return __Pyx_c_prodf(z, z);
}
}
if (a.imag == 0) {
if (a.real == 0) {
return a;
}
r = a.real;
theta = 0;
} else {
r = __Pyx_c_absf(a);
theta = atan2f(a.imag, a.real);
}
lnr = logf(r);
z_r = expf(lnr * b.real - theta * b.imag);
z_theta = theta * b.real + lnr * b.imag;
z.real = z_r * cosf(z_theta);
z.imag = z_r * sinf(z_theta);
return z;
}
#endif
#endif
/* None */
#if CYTHON_CCOMPLEX
#ifdef __cplusplus
static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) {
return ::std::complex< double >(x, y);
}
#else
static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) {
return x + y*(__pyx_t_double_complex)_Complex_I;
}
#endif
#else
static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) {
__pyx_t_double_complex z;
z.real = x;
z.imag = y;
return z;
}
#endif
/* None */
#if CYTHON_CCOMPLEX
#else
static CYTHON_INLINE int __Pyx_c_eq(__pyx_t_double_complex a, __pyx_t_double_complex b) {
return (a.real == b.real) && (a.imag == b.imag);
}
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum(__pyx_t_double_complex a, __pyx_t_double_complex b) {
__pyx_t_double_complex z;
z.real = a.real + b.real;
z.imag = a.imag + b.imag;
return z;
}
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff(__pyx_t_double_complex a, __pyx_t_double_complex b) {
__pyx_t_double_complex z;
z.real = a.real - b.real;
z.imag = a.imag - b.imag;
return z;
}
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod(__pyx_t_double_complex a, __pyx_t_double_complex b) {
__pyx_t_double_complex z;
z.real = a.real * b.real - a.imag * b.imag;
z.imag = a.real * b.imag + a.imag * b.real;
return z;
}
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot(__pyx_t_double_complex a, __pyx_t_double_complex b) {
__pyx_t_double_complex z;
double denom = b.real * b.real + b.imag * b.imag;
z.real = (a.real * b.real + a.imag * b.imag) / denom;
z.imag = (a.imag * b.real - a.real * b.imag) / denom;
return z;
}
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg(__pyx_t_double_complex a) {
__pyx_t_double_complex z;
z.real = -a.real;
z.imag = -a.imag;
return z;
}
static CYTHON_INLINE int __Pyx_c_is_zero(__pyx_t_double_complex a) {
return (a.real == 0) && (a.imag == 0);
}
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj(__pyx_t_double_complex a) {
__pyx_t_double_complex z;
z.real = a.real;
z.imag = -a.imag;
return z;
}
#if 1
static CYTHON_INLINE double __Pyx_c_abs(__pyx_t_double_complex z) {
#if !defined(HAVE_HYPOT) || defined(_MSC_VER)
return sqrt(z.real*z.real + z.imag*z.imag);
#else
return hypot(z.real, z.imag);
#endif
}
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow(__pyx_t_double_complex a, __pyx_t_double_complex b) {
__pyx_t_double_complex z;
double r, lnr, theta, z_r, z_theta;
if (b.imag == 0 && b.real == (int)b.real) {
if (b.real < 0) {
double denom = a.real * a.real + a.imag * a.imag;
a.real = a.real / denom;
a.imag = -a.imag / denom;
b.real = -b.real;
}
switch ((int)b.real) {
case 0:
z.real = 1;
z.imag = 0;
return z;
case 1:
return a;
case 2:
z = __Pyx_c_prod(a, a);
return __Pyx_c_prod(a, a);
case 3:
z = __Pyx_c_prod(a, a);
return __Pyx_c_prod(z, a);
case 4:
z = __Pyx_c_prod(a, a);
return __Pyx_c_prod(z, z);
}
}
if (a.imag == 0) {
if (a.real == 0) {
return a;
}
r = a.real;
theta = 0;
} else {
r = __Pyx_c_abs(a);
theta = atan2(a.imag, a.real);
}
lnr = log(r);
z_r = exp(lnr * b.real - theta * b.imag);
z_theta = theta * b.real + lnr * b.imag;
z.real = z_r * cos(z_theta);
z.imag = z_r * sin(z_theta);
return z;
}
#endif
#endif
/* CIntToPy */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value) {
const int neg_one = (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);
} else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) {
return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);
}
} else {
if (sizeof(int) <= sizeof(long)) {
return PyInt_FromLong((long) value);
} else if (sizeof(int) <= sizeof(PY_LONG_LONG)) {
return PyLong_FromLongLong((PY_LONG_LONG) value);
}
}
{
int one = 1; int little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&value;
return _PyLong_FromByteArray(bytes, sizeof(int),
little, !is_unsigned);
}
}
/* 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_enum__NPY_TYPES(enum NPY_TYPES value) {
const enum NPY_TYPES neg_one = (enum NPY_TYPES) -1, const_zero = (enum NPY_TYPES) 0;
const int is_unsigned = neg_one > const_zero;
if (is_unsigned) {
if (sizeof(enum NPY_TYPES) < sizeof(long)) {
return PyInt_FromLong((long) value);
} else if (sizeof(enum NPY_TYPES) <= sizeof(unsigned long)) {
return PyLong_FromUnsignedLong((unsigned long) value);
} else if (sizeof(enum NPY_TYPES) <= sizeof(unsigned PY_LONG_LONG)) {
return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);
}
} else {
if (sizeof(enum NPY_TYPES) <= sizeof(long)) {
return PyInt_FromLong((long) value);
} else if (sizeof(enum NPY_TYPES) <= sizeof(PY_LONG_LONG)) {
return PyLong_FromLongLong((PY_LONG_LONG) value);
}
}
{
int one = 1; int little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&value;
return _PyLong_FromByteArray(bytes, sizeof(enum NPY_TYPES),
little, !is_unsigned);
}
}
/* CIntFromPy */
static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *x) {
const int neg_one = (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))
} else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(int, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
}
} 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))
} else if (sizeof(int) <= sizeof(PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(int, PY_LONG_LONG, PyLong_AsLongLong(x))
}
}
{
#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;
}
/* CIntToPy */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value) {
const long neg_one = (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);
} else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) {
return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);
}
} else {
if (sizeof(long) <= sizeof(long)) {
return PyInt_FromLong((long) value);
} else if (sizeof(long) <= sizeof(PY_LONG_LONG)) {
return PyLong_FromLongLong((PY_LONG_LONG) value);
}
}
{
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 long __Pyx_PyInt_As_long(PyObject *x) {
const long neg_one = (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))
} else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(long, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
}
} 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))
} else if (sizeof(long) <= sizeof(PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(long, PY_LONG_LONG, PyLong_AsLongLong(x))
}
}
{
#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;
}
/* 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;
}
/* ModuleImport */
#ifndef __PYX_HAVE_RT_ImportModule
#define __PYX_HAVE_RT_ImportModule
static PyObject *__Pyx_ImportModule(const char *name) {
PyObject *py_name = 0;
PyObject *py_module = 0;
py_name = __Pyx_PyIdentifier_FromString(name);
if (!py_name)
goto bad;
py_module = PyImport_Import(py_name);
Py_DECREF(py_name);
return py_module;
bad:
Py_XDECREF(py_name);
return 0;
}
#endif
/* TypeImport */
#ifndef __PYX_HAVE_RT_ImportType
#define __PYX_HAVE_RT_ImportType
static PyTypeObject *__Pyx_ImportType(const char *module_name, const char *class_name,
size_t size, int strict)
{
PyObject *py_module = 0;
PyObject *result = 0;
PyObject *py_name = 0;
char warning[200];
Py_ssize_t basicsize;
#ifdef Py_LIMITED_API
PyObject *py_basicsize;
#endif
py_module = __Pyx_ImportModule(module_name);
if (!py_module)
goto bad;
py_name = __Pyx_PyIdentifier_FromString(class_name);
if (!py_name)
goto bad;
result = PyObject_GetAttr(py_module, py_name);
Py_DECREF(py_name);
py_name = 0;
Py_DECREF(py_module);
py_module = 0;
if (!result)
goto bad;
if (!PyType_Check(result)) {
PyErr_Format(PyExc_TypeError,
"%.200s.%.200s is not a type object",
module_name, class_name);
goto bad;
}
#ifndef Py_LIMITED_API
basicsize = ((PyTypeObject *)result)->tp_basicsize;
#else
py_basicsize = PyObject_GetAttrString(result, "__basicsize__");
if (!py_basicsize)
goto bad;
basicsize = PyLong_AsSsize_t(py_basicsize);
Py_DECREF(py_basicsize);
py_basicsize = 0;
if (basicsize == (Py_ssize_t)-1 && PyErr_Occurred())
goto bad;
#endif
if (!strict && (size_t)basicsize > size) {
PyOS_snprintf(warning, sizeof(warning),
"%s.%s size changed, may indicate binary incompatibility. Expected %zd, got %zd",
module_name, class_name, basicsize, size);
if (PyErr_WarnEx(NULL, warning, 0) < 0) goto bad;
}
else if ((size_t)basicsize != size) {
PyErr_Format(PyExc_ValueError,
"%.200s.%.200s has the wrong size, try recompiling. Expected %zd, got %zd",
module_name, class_name, basicsize, size);
goto bad;
}
return (PyTypeObject *)result;
bad:
Py_XDECREF(py_module);
Py_XDECREF(result);
return NULL;
}
#endif
/* 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;
++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 char* __Pyx_PyObject_AsString(PyObject* o) {
Py_ssize_t ignore;
return __Pyx_PyObject_AsStringAndSize(o, &ignore);
}
static CYTHON_INLINE char* __Pyx_PyObject_AsStringAndSize(PyObject* o, Py_ssize_t *length) {
#if CYTHON_COMPILING_IN_CPYTHON && (__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)) {
#if PY_VERSION_HEX < 0x03030000
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
if (__Pyx_PyUnicode_READY(o) == -1) return NULL;
#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
if (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
} 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 PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x) {
PyNumberMethods *m;
const char *name = NULL;
PyObject *res = NULL;
#if PY_MAJOR_VERSION < 3
if (PyInt_Check(x) || PyLong_Check(x))
#else
if (PyLong_Check(x))
#endif
return __Pyx_NewRef(x);
m = Py_TYPE(x)->tp_as_number;
#if PY_MAJOR_VERSION < 3
if (m && m->nb_int) {
name = "int";
res = PyNumber_Int(x);
}
else if (m && m->nb_long) {
name = "long";
res = PyNumber_Long(x);
}
#else
if (m && m->nb_int) {
name = "int";
res = PyNumber_Long(x);
}
#endif
if (res) {
#if PY_MAJOR_VERSION < 3
if (!PyInt_Check(res) && !PyLong_Check(res)) {
#else
if (!PyLong_Check(res)) {
#endif
PyErr_Format(PyExc_TypeError,
"__%.4s__ returned non-%.4s (type %.200s)",
name, name, Py_TYPE(res)->tp_name);
Py_DECREF(res);
return NULL;
}
}
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(x);
}
#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_PyInt_FromSize_t(size_t ival) {
return PyInt_FromSize_t(ival);
}
#endif /* Py_PYTHON_H */
|
GB_binop__land_int64.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__land_int64)
// A.*B function (eWiseMult): GB (_AemultB_08__land_int64)
// A.*B function (eWiseMult): GB (_AemultB_02__land_int64)
// A.*B function (eWiseMult): GB (_AemultB_04__land_int64)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__land_int64)
// A*D function (colscale): GB (_AxD__land_int64)
// D*A function (rowscale): GB (_DxB__land_int64)
// C+=B function (dense accum): GB (_Cdense_accumB__land_int64)
// C+=b function (dense accum): GB (_Cdense_accumb__land_int64)
// C+=A+B function (dense ewise3): GB ((none))
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__land_int64)
// C=scalar+B GB (_bind1st__land_int64)
// C=scalar+B' GB (_bind1st_tran__land_int64)
// C=A+scalar GB (_bind2nd__land_int64)
// C=A'+scalar GB (_bind2nd_tran__land_int64)
// C type: int64_t
// A type: int64_t
// A pattern? 0
// B type: int64_t
// B pattern? 0
// BinaryOp: cij = ((aij != 0) && (bij != 0))
#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)
// 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) \
int64_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) \
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 = ((x != 0) && (y != 0)) ;
// 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_LAND || GxB_NO_INT64 || GxB_NO_LAND_INT64)
//------------------------------------------------------------------------------
// 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__land_int64)
(
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__land_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__land_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__land_int64)
(
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
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__land_int64)
(
GrB_Matrix C,
const GrB_Matrix D,
const GrB_Matrix B,
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__land_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 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) ;
int64_t alpha_scalar ;
int64_t beta_scalar ;
if (is_eWiseUnion)
{
alpha_scalar = (*((int64_t *) alpha_scalar_in)) ;
beta_scalar = (*((int64_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__land_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__land_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__land_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__land_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__land_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] = ((x != 0) && (bij != 0)) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB (_bind2nd__land_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] = ((aij != 0) && (y != 0)) ;
}
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] = ((x != 0) && (aij != 0)) ; \
}
GrB_Info GB (_bind1st_tran__land_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] = ((aij != 0) && (y != 0)) ; \
}
GrB_Info GB (_bind2nd_tran__land_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
|
VolumetricConvolutionMM.c | #ifndef TH_GENERIC_FILE
#define TH_GENERIC_FILE "generic/VolumetricConvolutionMM.c"
#else
static void inline THNN_(VolumetricConvolutionMM_shapeCheck)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *weight,
THTensor *bias,
int kT,
int kW,
int kH,
int dT,
int dW,
int dH,
int pT,
int pW,
int pH) {
THNN_ARGCHECK(input->nDimension == 4 || input->nDimension == 5, 2, input,
"4D or 5D (batch mode) tensor expected for input, but got: %s");
THArgCheck(kT > 0 && kW > 0 && kH > 0, 8,
"kernel size should be greater than zero, but got kT: %d kH: %d kW: %d", kT, kH, kW);
THArgCheck(dT > 0 && dW > 0 && dH > 0, 11,
"stride should be greater than zero, but got dT: %d dH: %d dW: %d", dT, dH, dW);
int ndim = input->nDimension;
int dimf = 0;
int dimt = 1;
int dimh = 2;
int dimw = 3;
if (ndim == 5)
{
dimf++;
dimt++;
dimh++;
dimw++;
}
int64_t nInputPlane;
int64_t inputDepth;
int64_t inputHeight;
int64_t inputWidth;
int64_t nOutputPlane;
int64_t outputDepth;
int64_t outputHeight;
int64_t outputWidth;
nInputPlane = input->size[dimf];
inputDepth = input->size[dimt];
inputHeight = input->size[dimh];
inputWidth = input->size[dimw];
nOutputPlane = weight->size[0];
outputDepth = (inputDepth + 2*pT - kT) / dT + 1;
outputHeight = (inputHeight + 2*pH - kH) / dH + 1;
outputWidth = (inputWidth + 2*pW - kW) / dW + 1;
if (outputWidth < 1 || outputHeight < 1 || outputDepth < 1)
{
THError(
"Given input size: (%dx%dx%dx%d). Calculated output size: (%dx%dx%dx%d). Output size is too small",
nInputPlane, inputDepth, inputHeight, inputWidth,
nOutputPlane, outputDepth, outputHeight, outputWidth
);
}
THArgCheck(weight->nDimension == 2 || weight->nDimension == 5, 4,
"weight tensor should be 2D or 5D - got %d", weight->nDimension);
if (bias != NULL) {
THNN_CHECK_DIM_SIZE(bias, 1, 0, weight->size[0]);
}
THNN_CHECK_DIM_SIZE(input, ndim, dimf, nInputPlane);
if (gradOutput != NULL) {
THNN_CHECK_DIM_SIZE(gradOutput, ndim, dimf, nOutputPlane);
THNN_CHECK_DIM_SIZE(gradOutput, ndim, dimt, outputDepth);
THNN_CHECK_DIM_SIZE(gradOutput, ndim, dimh, outputHeight);
THNN_CHECK_DIM_SIZE(gradOutput, ndim, dimw, outputWidth);
}
}
static int THNN_(view_weight)(THTensor **_weight)
{
THTensor *weight = *_weight;
if (weight->nDimension == 5) {
int64_t s1 = weight->size[0];
int64_t s2 = weight->size[1] * weight->size[2] * weight->size[3] * weight->size[4];
*_weight = THTensor_(newWithStorage2d)(weight->storage, weight->storageOffset, s1, -1, s2, -1);
return 1;
}
return 0;
}
/* note: due to write issues, this one cannot be parallelized as well as unfolded_copy */
static void THNN_(unfolded_acc_vol)(
THTensor *finput,
THTensor *input,
int kT,
int kW,
int kH,
int dT,
int dW,
int dH,
int pT,
int pW,
int pH,
int nInputPlane,
int inputDepth,
int inputWidth,
int inputHeight,
int outputDepth,
int outputWidth,
int outputHeight)
{
int nip;
real *input_data = THTensor_(data)(input);
real *finput_data = THTensor_(data)(finput);
//#pragma omp parallel for private(nip)
for (nip = 0; nip < nInputPlane; nip++)
{
int kt, kw, kh, t, y, x, it, ix, iy;
for (kt = 0; kt < kT; kt++)
{
for (kh = 0; kh < kH; kh++)
{
for (kw = 0; kw < kW; kw++)
{
real *src = finput_data
+ nip * (kT*kH*kW*outputDepth*outputHeight*outputWidth)
+ kt * (kH*kW*outputDepth*outputHeight*outputWidth)
+ kh * (kW*outputDepth*outputHeight*outputWidth)
+ kw * (outputDepth*outputHeight*outputWidth);
real *dst = input_data + nip*(inputDepth*inputHeight*inputWidth);
if (pT > 0 || pH > 0 || pW > 0)
{
for (t = 0; t < outputDepth; t++)
{
it = t*dT - pT + kt;
for (y = 0; y < outputHeight; y++)
{
iy = y*dH - pH + kh;
for (x = 0; x < outputWidth; x++)
{
ix = x*dW - pW + kw;
if (it < 0 || it >= inputDepth || iy < 0 || iy >= inputHeight || ix < 0 || ix >= inputWidth)
{
}
else
{
real *dst_slice = dst+it*inputHeight*inputWidth+iy*inputWidth+ix;
THVector_(cadd)(dst_slice, dst_slice, src+t*outputHeight*outputWidth+y*outputWidth+x, 1, 1);
}
}
}
}
}
else
{
for (t = 0; t < outputDepth; t++)
{
it = t*dT + kt;
for (y = 0; y < outputHeight; y++)
{
iy = y*dH + kh;
for(x = 0; x < outputWidth; x++)
{
ix = x*dW + kw;
real *dst_slice = dst+it*inputHeight*inputWidth+iy*inputWidth+ix;
THVector_(cadd)(dst_slice, dst_slice, src+t*outputHeight*outputWidth+y*outputWidth+x, 1, 1);
}
}
}
}
}
}
}
}
}
static void THNN_(unfolded_copy_vol)(
THTensor *finput,
THTensor *input,
int kT,
int kW,
int kH,
int dT,
int dW,
int dH,
int pT,
int pW,
int pH,
int nInputPlane,
int inputDepth,
int inputWidth,
int inputHeight,
int outputDepth,
int outputWidth,
int outputHeight)
{
int64_t k;
real *input_data = THTensor_(data)(input);
real *finput_data = THTensor_(data)(finput);
// #pragma omp parallel for private(k)
for (k = 0; k < nInputPlane*kT*kH*kW; k++)
{
int nip = k / (kT*kH*kW);
int rest = k % (kT*kH*kW);
int kt = rest / (kH*kW);
rest = rest % (kH*kW);
int kh = rest / kW;
int kw = rest % kW;
int t,x,y,it,ix,iy;
real *dst = finput_data
+ nip * (kT*kH*kW*outputDepth*outputHeight*outputWidth)
+ kt * (kH*kW*outputDepth*outputHeight*outputWidth)
+ kh * (kW*outputDepth*outputHeight*outputWidth)
+ kw * (outputDepth*outputHeight*outputWidth);
real *src = input_data + nip*(inputDepth*inputHeight*inputWidth);
if (pT > 0 || pH > 0 || pW > 0)
{
for (t = 0; t < outputDepth; t++)
{
it = t*dT - pT + kt;
for (y = 0; y < outputHeight; y++)
{
iy = y*dH - pH + kh;
for (x = 0; x < outputWidth; x++)
{
ix = x*dW - pW + kw;
if (it < 0 || it >= inputDepth || iy < 0 || iy >= inputHeight || ix < 0 || ix >= inputWidth)
memset(dst+t*outputHeight*outputWidth+y*outputWidth+x, 0, sizeof(real)*(1));
else
memcpy(dst+t*outputHeight*outputWidth+y*outputWidth+x, src+it*inputHeight*inputWidth+iy*inputWidth+ix, sizeof(real)*(1));
}
}
}
}
else
{
for (t = 0; t < outputDepth; t++)
{
it = t*dT + kt;
for (y = 0; y < outputHeight; y++)
{
iy = y*dH + kh;
for(x = 0; x < outputWidth; x++)
{
ix = x*dW + kw;
memcpy(dst+t*outputHeight*outputWidth+y*outputWidth+x, src+it*inputHeight*inputWidth+iy*inputWidth+ix, sizeof(real)*(1));
}
}
}
}
}
}
static void THNN_(VolumetricConvolutionMM_updateOutput_frame)(
THTensor *input,
THTensor *output,
THTensor *weight,
THTensor *bias,
THTensor *finput,
int kT,
int kW,
int kH,
int dT,
int dW,
int dH,
int pT,
int pW,
int pH,
int64_t nInputPlane,
int64_t inputDepth,
int64_t inputWidth,
int64_t inputHeight,
int64_t nOutputPlane,
int64_t outputDepth,
int64_t outputWidth,
int64_t outputHeight)
{
int64_t i;
THTensor *output2d;
THNN_(unfolded_copy_vol)(
finput, input,
kT, kW, kH,
dT, dW, dH,
pT, pW, pH,
nInputPlane,
inputDepth, inputWidth, inputHeight,
outputDepth, outputWidth, outputHeight
);
output2d = THTensor_(newWithStorage2d)(
output->storage, output->storageOffset, nOutputPlane, -1,
outputDepth*outputHeight*outputWidth, -1
);
if (bias) {
for (i = 0; i < nOutputPlane; i++)
{
THVector_(fill)(
output->storage->data+output->storageOffset+output->stride[0]*i,
THTensor_(get1d)(bias, i),
outputDepth*outputHeight*outputWidth
);
}
} else {
THTensor_(zero)(output);
}
THTensor_(addmm)(output2d, 1, output2d, 1, weight, finput);
THTensor_(free)(output2d);
}
void THNN_(VolumetricConvolutionMM_updateOutput)(
THNNState *state,
THTensor *input,
THTensor *output,
THTensor *weight,
THTensor *bias,
THTensor *finput,
int kT,
int kW,
int kH,
int dT,
int dW,
int dH,
int pT,
int pW,
int pH)
{
int dimf = 0;
int dimt = 1;
int dimh = 2;
int dimw = 3;
int freeWeight = 0;
int64_t nInputPlane;
int64_t inputDepth;
int64_t inputHeight;
int64_t inputWidth;
int64_t nOutputPlane;
int64_t outputDepth;
int64_t outputHeight;
int64_t outputWidth;
THNN_(VolumetricConvolutionMM_shapeCheck)(
state, input, NULL, weight, bias,
kT, kW, kH, dT, dW, dH, pT, pW, pH);
input = THTensor_(newContiguous)(input);
if (input->nDimension == 5)
{
dimf++;
dimt++;
dimh++;
dimw++;
}
nInputPlane = input->size[dimf];
inputDepth = input->size[dimt];
inputHeight = input->size[dimh];
inputWidth = input->size[dimw];
nOutputPlane = weight->size[0];
outputDepth = (inputDepth + 2*pT - kT) / dT + 1;
outputHeight = (inputHeight + 2*pH - kH) / dH + 1;
outputWidth = (inputWidth + 2*pW - kW) / dW + 1;
freeWeight = THNN_(view_weight)(&weight);
if (input->nDimension == 4)
{
THTensor_(resize2d)(finput, kT*kW*kH*nInputPlane, outputDepth*outputHeight*outputWidth);
THTensor_(resize4d)(output, nOutputPlane, outputDepth, outputHeight, outputWidth);
THNN_(VolumetricConvolutionMM_updateOutput_frame)(
input, output, weight, bias, finput,
kT, kW, kH,
dT, dW, dH,
pT, pW, pH,
nInputPlane, inputDepth, inputWidth, inputHeight,
nOutputPlane, outputDepth, outputWidth, outputHeight
);
}
else
{
int64_t T = input->size[0];
int64_t t;
THTensor_(resize3d)(finput, T, kT*kW*kH*nInputPlane, outputDepth*outputHeight*outputWidth);
THTensor_(resize5d)(output, T, nOutputPlane, outputDepth, outputHeight, outputWidth);
// #pragma omp parallel for private(t)
for (t = 0; t < T; t++)
{
THTensor *input_t = THTensor_(newSelect)(input, 0, t);
THTensor *output_t = THTensor_(newSelect)(output, 0, t);
THTensor *finput_t = THTensor_(newSelect)(finput, 0, t);
THNN_(VolumetricConvolutionMM_updateOutput_frame)(
input_t, output_t, weight, bias, finput_t,
kT, kW, kH,
dT, dW, dH,
pT, pW, pH,
nInputPlane, inputDepth, inputWidth, inputHeight,
nOutputPlane, outputDepth, outputWidth, outputHeight
);
THTensor_(free)(input_t);
THTensor_(free)(output_t);
THTensor_(free)(finput_t);
}
}
THTensor_(free)(input);
if (freeWeight)
THTensor_(free)(weight);
}
static void THNN_(VolumetricConvolutionMM_updateGradInput_frame)(
THTensor *gradInput,
THTensor *gradOutput,
THTensor *weight,
THTensor *fgradInput,
int kT,
int kW,
int kH,
int dT,
int dW,
int dH,
int pT,
int pW,
int pH)
{
THTensor *gradOutput2d = THTensor_(newWithStorage2d)(
gradOutput->storage, gradOutput->storageOffset,
gradOutput->size[0], -1,
gradOutput->size[1]*gradOutput->size[2]*gradOutput->size[3], -1
);
THTensor_(addmm)(fgradInput, 0, fgradInput, 1, weight, gradOutput2d);
THTensor_(free)(gradOutput2d);
THTensor_(zero)(gradInput);
THNN_(unfolded_acc_vol)(
fgradInput, gradInput,
kT, kW, kH,
dT, dW, dH,
pT, pW, pH,
gradInput->size[0], gradInput->size[1], gradInput->size[3], gradInput->size[2],
gradOutput->size[1], gradOutput->size[3], gradOutput->size[2]
);
}
void THNN_(VolumetricConvolutionMM_updateGradInput)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradInput,
THTensor *weight,
THTensor *finput,
THTensor *fgradInput,
int kT,
int kW,
int kH,
int dT,
int dW,
int dH,
int pT,
int pW,
int pH)
{
int nOutputPlane = (int)weight->size[0];
THNN_(VolumetricConvolutionMM_shapeCheck)(
state, input, gradOutput, weight, NULL,
kT, kW, kH, dT, dW, dH, pT, pW, pH);
input = THTensor_(newContiguous)(input);
gradOutput = THTensor_(newContiguous)(gradOutput);
int freeWeight = THNN_(view_weight)(&weight);
THTensor_(resizeAs)(gradInput, input);
THTensor_(resizeAs)(fgradInput, finput);
// depending on the BLAS library, fgradInput (result tensor) might
// be left uninitialized on zero alpha, which might lead to weird behavior
// hence, to be safe, zero it
THTensor_(zero)(fgradInput);
THTensor *tweight = THTensor_(new)();
THTensor_(transpose)(tweight, weight, 0, 1);
if (input->nDimension == 4)
{
THNN_(VolumetricConvolutionMM_updateGradInput_frame)(
gradInput, gradOutput, tweight, fgradInput,
kT, kW, kH,
dT, dW, dH,
pT, pW, pH
);
}
else
{
int64_t T = input->size[0];
int64_t t;
//#pragma omp parallel for private(t)
for (t = 0; t < T; t++)
{
THTensor *gradInput_t = THTensor_(newSelect)(gradInput, 0, t);
THTensor *gradOutput_t = THTensor_(newSelect)(gradOutput, 0, t);
THTensor *fgradInput_t = THTensor_(newSelect)(fgradInput, 0, t);
THNN_(VolumetricConvolutionMM_updateGradInput_frame)(
gradInput_t, gradOutput_t, tweight, fgradInput_t,
kT, kW, kH,
dT, dW, dH,
pT, pW, pH
);
THTensor_(free)(gradInput_t);
THTensor_(free)(gradOutput_t);
THTensor_(free)(fgradInput_t);
}
}
THTensor_(free)(tweight);
THTensor_(free)(input);
THTensor_(free)(gradOutput);
if (freeWeight)
THTensor_(free)(weight);
}
static void THNN_(VolumetricConvolutionMM_accGradParameters_frame)(
THTensor *gradOutput,
THTensor *gradWeight,
THTensor *gradBias,
THTensor *finput,
real scale)
{
int64_t i;
THTensor *gradOutput2d = THTensor_(newWithStorage2d)(
gradOutput->storage, gradOutput->storageOffset,
gradOutput->size[0], -1,
gradOutput->size[1]*gradOutput->size[2]*gradOutput->size[3], -1
);
THTensor *tfinput = THTensor_(new)();
THTensor_(transpose)(tfinput, finput, 0, 1);
THTensor_(addmm)(gradWeight, 1, gradWeight, scale, gradOutput2d, tfinput);
THTensor_(free)(tfinput);
if (gradBias) {
for (i = 0; i < gradBias->size[0]; i++)
{
int64_t k;
real sum = 0;
real *data = gradOutput2d->storage->data + gradOutput2d->storageOffset + i*gradOutput2d->stride[0];
for (k = 0; k < gradOutput2d->size[1]; k++)
sum += data[k];
(gradBias->storage->data + gradBias->storageOffset)[i] += scale * sum;
}
}
THTensor_(free)(gradOutput2d);
}
void THNN_(VolumetricConvolutionMM_accGradParameters)(
THNNState *state,
THTensor *input,
THTensor *gradOutput,
THTensor *gradWeight,
THTensor *gradBias,
THTensor *finput,
int kT, int kW, int kH,
int dT, int dW, int dH,
int pT, int pW, int pH,
accreal scale_)
{
real scale = TH_CONVERT_ACCREAL_TO_REAL(scale_);
int freeWeight;
int nOutputPlane = (int)gradWeight->size[0];
THNN_(VolumetricConvolutionMM_shapeCheck)(
state, input, gradOutput, gradWeight, gradBias,
kT, kW, kH, dT, dW, dH, pT, pW, pH);
input = THTensor_(newContiguous)(input);
gradOutput = THTensor_(newContiguous)(gradOutput);
freeWeight = THNN_(view_weight)(&gradWeight);
if (input->nDimension == 4) // non-batch mode
{
THNN_(VolumetricConvolutionMM_accGradParameters_frame)(gradOutput, gradWeight, gradBias, finput, scale);
}
else // batch mode
{
int64_t T = input->size[0];
int64_t t;
for (t = 0; t < T; t++)
{
THTensor *gradOutput_t = THTensor_(newSelect)(gradOutput, 0, t);
THTensor *finput_t = THTensor_(newSelect)(finput, 0, t);
THNN_(VolumetricConvolutionMM_accGradParameters_frame)(gradOutput_t, gradWeight, gradBias, finput_t, scale);
THTensor_(free)(gradOutput_t);
THTensor_(free)(finput_t);
}
}
THTensor_(free)(input);
THTensor_(free)(gradOutput);
if (freeWeight)
THTensor_(free)(gradWeight);
}
#endif
|
GB_unop__round_fp32_fp32.c | //------------------------------------------------------------------------------
// GB_unop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2020, All Rights Reserved.
// http://suitesparse.com See GraphBLAS/Doc/License.txt for license.
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_unop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB_unop_apply__round_fp32_fp32
// op(A') function: GB_unop_tran__round_fp32_fp32
// C type: float
// A type: float
// cast: float cij = aij
// unaryop: cij = roundf (aij)
#define GB_ATYPE \
float
#define GB_CTYPE \
float
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
float aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = roundf (x) ;
// casting
#define GB_CAST(z, aij) \
float z = aij ;
// cij = op (aij)
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
float aij = Ax [pA] ; \
/* Cx [pC] = op (cast (aij)) */ \
float z = aij ; \
Cx [pC] = roundf (z) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_ROUND || GxB_NO_FP32)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop_apply__round_fp32_fp32
(
float *Cx, // Cx and Ax may be aliased
const float *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++)
{
float aij = Ax [p] ;
float z = aij ;
Cx [p] = roundf (z) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop_tran__round_fp32_fp32
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *GB_RESTRICT *Rowcounts,
GBI_single_iterator Iter,
const int64_t *GB_RESTRICT A_slice,
int naslice
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#define GB_PHASE_2_OF_2
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
vla_iterator_cache_bug.c | // RUN: %clang_cc1 -verify -fopenmp -x c++ -triple x86_64-unknown-linux-gnu \
// RUN: -emit-llvm %s -o - | FileCheck %s
// expected-no-diagnostics
extern int bounds1(int);
extern int bounds2(int);
extern void fun2(int n, int *a, int *b);
extern void fun3(int n, int *a, int *b);
void fun1(int n, int *a, int *b)
{
#pragma omp task depend(iterator(j = 0 : bounds1(n)), in : a[b[j]])
{
fun2(n, a, b);
}
// CHECK: alloca %struct.kmp_depend_info, i64 [[FIRST_VLA:%.*]], align 16
#pragma omp task depend(iterator(j = 0 : bounds2(n)), in : a[b[j]])
{
fun3(n, a, b);
}
// CHECK-NOT: alloca %struct.kmp_depend_info, i64 [[FIRST_VLA]], align 16
}
|
GB_binop__isne_fp64.c | //------------------------------------------------------------------------------
// GB_binop: hard-coded functions for each built-in binary 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_ek_slice.h"
#include "GB_dense.h"
#include "GB_mkl.h"
#include "GB_binop__include.h"
// C=binop(A,B) is defined by the following types and operators:
// A+B function (eWiseAdd): GB_AaddB__isne_fp64
// A.*B function (eWiseMult): GB_AemultB__isne_fp64
// A*D function (colscale): GB_AxD__isne_fp64
// D*A function (rowscale): GB_DxB__isne_fp64
// C+=B function (dense accum): GB_Cdense_accumB__isne_fp64
// C+=b function (dense accum): GB_Cdense_accumb__isne_fp64
// C+=A+B function (dense ewise3): (none)
// C=A+B function (dense ewise3): GB_Cdense_ewise3_noaccum__isne_fp64
// C=scalar+B GB_bind1st__isne_fp64
// C=scalar+B' GB_bind1st_tran__isne_fp64
// C=A+scalar GB_bind2nd__isne_fp64
// C=A'+scalar GB_bind2nd_tran__isne_fp64
// C type: double
// A type: double
// B,b type: double
// BinaryOp: cij = (aij != bij)
#define GB_ATYPE \
double
#define GB_BTYPE \
double
#define GB_CTYPE \
double
// 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) \
double aij = Ax [pA]
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB) \
double bij = Bx [pB]
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
double 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) \
z = (x != y) ;
// op is second
#define GB_OP_IS_SECOND \
0
// op is plus_fp32 or plus_fp64
#define GB_OP_IS_PLUS_REAL \
0
// op is minus_fp32 or minus_fp64
#define GB_OP_IS_MINUS_REAL \
0
// GB_cblas_*axpy gateway routine, if it exists for this operator and type:
#define GB_CBLAS_AXPY \
(none)
// do the numerical phases of GB_add and GB_emult
#define GB_PHASE_2_OF_2
// hard-coded loops can be vectorized
#define GB_PRAGMA_SIMD_VECTORIZE GB_PRAGMA_SIMD
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_ISNE || GxB_NO_FP64 || GxB_NO_ISNE_FP64)
//------------------------------------------------------------------------------
// 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__isne_fp64
(
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__isne_fp64
(
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__isne_fp64
(
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 double
double bwork = (*((double *) 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__isne_fp64
(
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
double *GB_RESTRICT Cx = (double *) 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__isne_fp64
(
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
double *GB_RESTRICT Cx = (double *) 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__isne_fp64
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
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 ntasks,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_add_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C = A.*B or C<M> = A.*B
//------------------------------------------------------------------------------
GrB_Info GB_AemultB__isne_fp64
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
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 ntasks,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_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__isne_fp64
(
GB_void *Cx_output, // Cx and Bx may be aliased
const GB_void *x_input,
const GB_void *Bx_input,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
double *Cx = (double *) Cx_output ;
double x = (*((double *) x_input)) ;
double *Bx = (double *) Bx_input ;
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
double bij = Bx [p] ;
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__isne_fp64
(
GB_void *Cx_output, // Cx and Ax may be aliased
const GB_void *Ax_input,
const GB_void *y_input,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
double *Cx = (double *) Cx_output ;
double *Ax = (double *) Ax_input ;
double y = (*((double *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
double aij = Ax [p] ;
Cx [p] = (aij != y) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (x, A'): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (x, aij), no typcasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
double aij = Ax [pA] ; \
Cx [pC] = (x != aij) ; \
}
GrB_Info GB_bind1st_tran__isne_fp64
(
GrB_Matrix C,
const GB_void *x_input,
const GrB_Matrix A,
int64_t *GB_RESTRICT *Rowcounts,
GBI_single_iterator Iter,
const int64_t *GB_RESTRICT A_slice,
int naslice
)
{
// 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 \
double
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
double x = (*((const double *) x_input)) ;
#define GB_PHASE_2_OF_2
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
double
}
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (aij, y), no typcasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
double aij = Ax [pA] ; \
Cx [pC] = (aij != y) ; \
}
GrB_Info GB_bind2nd_tran__isne_fp64
(
GrB_Matrix C,
const GrB_Matrix A,
const GB_void *y_input,
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
double y = (*((const double *) y_input)) ;
#define GB_PHASE_2_OF_2
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
GB_unop__trunc_fc64_fc64.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 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__trunc_fc64_fc64)
// op(A') function: GB (_unop_tran__trunc_fc64_fc64)
// C type: GxB_FC64_t
// A type: GxB_FC64_t
// cast: GxB_FC64_t cij = aij
// unaryop: cij = GB_ctrunc (aij)
#define GB_ATYPE \
GxB_FC64_t
#define GB_CTYPE \
GxB_FC64_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
GxB_FC64_t aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = GB_ctrunc (x) ;
// casting
#define GB_CAST(z, aij) \
GxB_FC64_t z = aij ;
// cij = op (aij)
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
GxB_FC64_t aij = Ax [pA] ; \
/* Cx [pC] = op (cast (aij)) */ \
GxB_FC64_t z = aij ; \
Cx [pC] = GB_ctrunc (z) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_TRUNC || GxB_NO_FC64)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_apply__trunc_fc64_fc64)
(
GxB_FC64_t *Cx, // Cx and Ax may be aliased
const GxB_FC64_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_FC64_t aij = Ax [p] ;
GxB_FC64_t z = aij ;
Cx [p] = GB_ctrunc (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_FC64_t aij = Ax [p] ;
GxB_FC64_t z = aij ;
Cx [p] = GB_ctrunc (z) ;
}
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_tran__trunc_fc64_fc64)
(
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
|
lock-nested-unrelated.c | /*
* lock-nested-unrelated.c -- Archer testcase
*/
//===----------------------------------------------------------------------===//
//
// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
//
// See tools/archer/LICENSE.txt for details.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
//===----------------------------------------------------------------------===//
// RUN: %libarcher-compile-and-run-race | FileCheck %s
// REQUIRES: tsan
#include <omp.h>
#include <stdio.h>
int main(int argc, char *argv[]) {
int var = 0;
omp_nest_lock_t lock;
omp_init_nest_lock(&lock);
#pragma omp parallel num_threads(2) shared(var)
{
omp_set_nest_lock(&lock);
omp_set_nest_lock(&lock);
// Dummy locking.
omp_unset_nest_lock(&lock);
omp_unset_nest_lock(&lock);
var++;
}
omp_destroy_nest_lock(&lock);
fprintf(stderr, "DONE\n");
}
// CHECK: WARNING: ThreadSanitizer: data race
// CHECK-NEXT: {{(Write|Read)}} of size 4
// CHECK-NEXT: #0 {{.*}}lock-nested-unrelated.c:33
// CHECK: Previous write of size 4
// CHECK-NEXT: #0 {{.*}}lock-nested-unrelated.c:33
// CHECK: DONE
// CHECK: ThreadSanitizer: reported 1 warnings
|
GB_binop__le_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 GBCOMPACT
#include "GB_emult.h"
#include "GB_control.h"
#include "GB_ek_slice.h"
#include "GB_dense.h"
#include "GB_atomics.h"
#include "GB_bitmap_assign_methods.h"
#include "GB_binop__include.h"
// C=binop(A,B) is defined by the following types and operators:
// A+B function (eWiseAdd): GB (_AaddB__le_fp32)
// A.*B function (eWiseMult): GB (_AemultB_08__le_fp32)
// A.*B function (eWiseMult): GB (_AemultB_02__le_fp32)
// A.*B function (eWiseMult): GB (_AemultB_04__le_fp32)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__le_fp32)
// A*D function (colscale): GB (_AxD__le_fp32)
// D*A function (rowscale): GB (_DxB__le_fp32)
// C+=B function (dense accum): GB (_Cdense_accumB__le_fp32)
// C+=b function (dense accum): GB (_Cdense_accumb__le_fp32)
// C+=A+B function (dense ewise3): GB ((none))
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__le_fp32)
// C=scalar+B GB (_bind1st__le_fp32)
// C=scalar+B' GB (_bind1st_tran__le_fp32)
// C=A+scalar GB (_bind2nd__le_fp32)
// C=A'+scalar GB (_bind2nd_tran__le_fp32)
// C type: bool
// A type: float
// A pattern? 0
// B type: float
// B pattern? 0
// BinaryOp: cij = (aij <= bij)
#define GB_ATYPE \
float
#define GB_BTYPE \
float
#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) \
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) \
bool t
// cij = Ax [pA]
#define GB_COPY_A_TO_C(cij,Ax,pA,A_iso) \
cij = GBX (Ax, pA, A_iso)
// cij = Bx [pB]
#define GB_COPY_B_TO_C(cij,Bx,pB,B_iso) \
cij = GBX (Bx, pB, B_iso)
#define GB_CX(p) Cx [p]
// binary operator
#define GB_BINOP(z,x,y,i,j) \
z = (x <= y) ;
// true if the binop must be flipped
#define GB_BINOP_FLIP \
0
// op is second
#define GB_OP_IS_SECOND \
0
// do the numerical phases of GB_add and GB_emult
#define GB_PHASE_2_OF_2
// hard-coded loops can be vectorized
#define GB_PRAGMA_SIMD_VECTORIZE GB_PRAGMA_SIMD
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_LE || GxB_NO_FP32 || GxB_NO_LE_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__le_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__le_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__le_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
//------------------------------------------------------------------------------
GrB_Info GB (_AxD__le_fp32)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix D,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
bool *restrict Cx = (bool *) C->x ;
#include "GB_AxB_colscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = D*B, row scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_DxB__le_fp32)
(
GrB_Matrix C,
const GrB_Matrix D,
const GrB_Matrix B,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
bool *restrict Cx = (bool *) C->x ;
#include "GB_AxB_rowscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseAdd: C=A+B, C<M>=A+B, C<!M>=A+B
//------------------------------------------------------------------------------
GrB_Info GB (_AaddB__le_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__le_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__le_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__le_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__le_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__le_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
bool *Cx = (bool *) 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] = (x <= bij) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB (_bind2nd__le_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 ;
bool *Cx = (bool *) 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] = (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] = (x <= aij) ; \
}
GrB_Info GB (_bind1st_tran__le_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] = (aij <= y) ; \
}
GrB_Info GB (_bind2nd_tran__le_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
|
GB_unop__ceil_fc32_fc32.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__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) ; \
}
// 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_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 ;
// 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 (GxB_FC32_t), nthreads) ;
#else
#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) ;
}
#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 ;
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
|
quantize.c | /*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% QQQ U U AAA N N TTTTT IIIII ZZZZZ EEEEE %
% Q Q U U A A NN N T I ZZ E %
% Q Q U U AAAAA N N N T I ZZZ EEEEE %
% Q QQ U U A A N NN T I ZZ E %
% QQQQ UUU A A N N T IIIII ZZZZZ EEEEE %
% %
% %
% MagickCore Methods to Reduce the Number of Unique Colors in an Image %
% %
% Software Design %
% John Cristy %
% July 1992 %
% %
% %
% Copyright 1999-2013 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. %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Realism in computer graphics typically requires using 24 bits/pixel to
% generate an image. Yet many graphic display devices do not contain the
% amount of memory necessary to match the spatial and color resolution of
% the human eye. The Quantize methods takes a 24 bit image and reduces
% the number of colors so it can be displayed on raster device with less
% bits per pixel. In most instances, the quantized image closely
% resembles the original reference image.
%
% A reduction of colors in an image is also desirable for image
% transmission and real-time animation.
%
% QuantizeImage() takes a standard RGB or monochrome images and quantizes
% them down to some fixed number of colors.
%
% For purposes of color allocation, an image is a set of n pixels, where
% each pixel is a point in RGB space. RGB space is a 3-dimensional
% vector space, and each pixel, Pi, is defined by an ordered triple of
% red, green, and blue coordinates, (Ri, Gi, Bi).
%
% Each primary color component (red, green, or blue) represents an
% intensity which varies linearly from 0 to a maximum value, Cmax, which
% corresponds to full saturation of that color. Color allocation is
% defined over a domain consisting of the cube in RGB space with opposite
% vertices at (0,0,0) and (Cmax, Cmax, Cmax). QUANTIZE requires Cmax =
% 255.
%
% The algorithm maps this domain onto a tree in which each node
% represents a cube within that domain. In the following discussion
% these cubes are defined by the coordinate of two opposite vertices:
% The vertex nearest the origin in RGB space and the vertex farthest from
% the origin.
%
% The tree's root node represents the entire domain, (0,0,0) through
% (Cmax,Cmax,Cmax). Each lower level in the tree is generated by
% subdividing one node's cube into eight smaller cubes of equal size.
% This corresponds to bisecting the parent cube with planes passing
% through the midpoints of each edge.
%
% The basic algorithm operates in three phases: Classification,
% Reduction, and Assignment. Classification builds a color description
% tree for the image. Reduction collapses the tree until the number it
% represents, at most, the number of colors desired in the output image.
% Assignment defines the output image's color map and sets each pixel's
% color by restorage_class in the reduced tree. Our goal is to minimize
% the numerical discrepancies between the original colors and quantized
% colors (quantization error).
%
% Classification begins by initializing a color description tree of
% sufficient depth to represent each possible input color in a leaf.
% However, it is impractical to generate a fully-formed color description
% tree in the storage_class phase for realistic values of Cmax. If
% colors components in the input image are quantized to k-bit precision,
% so that Cmax= 2k-1, the tree would need k levels below the root node to
% allow representing each possible input color in a leaf. This becomes
% prohibitive because the tree's total number of nodes is 1 +
% sum(i=1, k, 8k).
%
% A complete tree would require 19,173,961 nodes for k = 8, Cmax = 255.
% Therefore, to avoid building a fully populated tree, QUANTIZE: (1)
% Initializes data structures for nodes only as they are needed; (2)
% Chooses a maximum depth for the tree as a function of the desired
% number of colors in the output image (currently log2(colormap size)).
%
% For each pixel in the input image, storage_class scans downward from
% the root of the color description tree. At each level of the tree it
% identifies the single node which represents a cube in RGB space
% containing the pixel's color. It updates the following data for each
% such node:
%
% n1: Number of pixels whose color is contained in the RGB cube which
% this node represents;
%
% n2: Number of pixels whose color is not represented in a node at
% lower depth in the tree; initially, n2 = 0 for all nodes except
% leaves of the tree.
%
% Sr, Sg, Sb: Sums of the red, green, and blue component values for all
% pixels not classified at a lower depth. The combination of these sums
% and n2 will ultimately characterize the mean color of a set of
% pixels represented by this node.
%
% E: the distance squared in RGB space between each pixel contained
% within a node and the nodes' center. This represents the
% quantization error for a node.
%
% Reduction repeatedly prunes the tree until the number of nodes with n2
% > 0 is less than or equal to the maximum number of colors allowed in
% the output image. On any given iteration over the tree, it selects
% those nodes whose E count is minimal for pruning and merges their color
% statistics upward. It uses a pruning threshold, Ep, to govern node
% selection as follows:
%
% Ep = 0
% while number of nodes with (n2 > 0) > required maximum number of colors
% prune all nodes such that E <= Ep
% Set Ep to minimum E in remaining nodes
%
% This has the effect of minimizing any quantization error when merging
% two nodes together.
%
% When a node to be pruned has offspring, the pruning procedure invokes
% itself recursively in order to prune the tree from the leaves upward.
% n2, Sr, Sg, and Sb in a node being pruned are always added to the
% corresponding data in that node's parent. This retains the pruned
% node's color characteristics for later averaging.
%
% For each node, n2 pixels exist for which that node represents the
% smallest volume in RGB space containing those pixel's colors. When n2
% > 0 the node will uniquely define a color in the output image. At the
% beginning of reduction, n2 = 0 for all nodes except a the leaves of
% the tree which represent colors present in the input image.
%
% The other pixel count, n1, indicates the total number of colors within
% the cubic volume which the node represents. This includes n1 - n2
% pixels whose colors should be defined by nodes at a lower level in the
% tree.
%
% Assignment generates the output image from the pruned tree. The output
% image consists of two parts: (1) A color map, which is an array of
% color descriptions (RGB triples) for each color present in the output
% image; (2) A pixel array, which represents each pixel as an index
% into the color map array.
%
% First, the assignment phase makes one pass over the pruned color
% description tree to establish the image's color map. For each node
% with n2 > 0, it divides Sr, Sg, and Sb by n2 . This produces the mean
% color of all pixels that classify no lower than this node. Each of
% these colors becomes an entry in the color map.
%
% Finally, the assignment phase reclassifies each pixel in the pruned
% tree to identify the deepest node containing the pixel's color. The
% pixel's value in the pixel array becomes the index of this node's mean
% color in the color map.
%
% This method is based on a similar algorithm written by Paul Raveling.
%
*/
/*
Include declarations.
*/
#include "magick/studio.h"
#include "magick/cache-view.h"
#include "magick/color.h"
#include "magick/color-private.h"
#include "magick/colormap.h"
#include "magick/colorspace.h"
#include "magick/colorspace-private.h"
#include "magick/enhance.h"
#include "magick/exception.h"
#include "magick/exception-private.h"
#include "magick/histogram.h"
#include "magick/image.h"
#include "magick/image-private.h"
#include "magick/list.h"
#include "magick/memory_.h"
#include "magick/monitor.h"
#include "magick/monitor-private.h"
#include "magick/option.h"
#include "magick/pixel-private.h"
#include "magick/quantize.h"
#include "magick/quantum.h"
#include "magick/resource_.h"
#include "magick/string_.h"
#include "magick/thread-private.h"
/*
Define declarations.
*/
#if !defined(__APPLE__) && !defined(TARGET_OS_IPHONE)
#define CacheShift 2
#else
#define CacheShift 3
#endif
#define ErrorQueueLength 16
#define MaxNodes 266817
#define MaxTreeDepth 8
#define NodesInAList 1920
/*
Typdef declarations.
*/
typedef struct _RealPixelPacket
{
MagickRealType
red,
green,
blue,
opacity;
} RealPixelPacket;
typedef struct _NodeInfo
{
struct _NodeInfo
*parent,
*child[16];
MagickSizeType
number_unique;
RealPixelPacket
total_color;
MagickRealType
quantize_error;
size_t
color_number,
id,
level;
} NodeInfo;
typedef struct _Nodes
{
NodeInfo
*nodes;
struct _Nodes
*next;
} Nodes;
typedef struct _CubeInfo
{
NodeInfo
*root;
size_t
colors,
maximum_colors;
ssize_t
transparent_index;
MagickSizeType
transparent_pixels;
RealPixelPacket
target;
MagickRealType
distance,
pruning_threshold,
next_threshold;
size_t
nodes,
free_nodes,
color_number;
NodeInfo
*next_node;
Nodes
*node_queue;
ssize_t
*cache;
RealPixelPacket
error[ErrorQueueLength];
MagickRealType
weights[ErrorQueueLength];
QuantizeInfo
*quantize_info;
MagickBooleanType
associate_alpha;
ssize_t
x,
y;
size_t
depth;
MagickOffsetType
offset;
MagickSizeType
span;
} CubeInfo;
/*
Method prototypes.
*/
static CubeInfo
*GetCubeInfo(const QuantizeInfo *,const size_t,const size_t);
static NodeInfo
*GetNodeInfo(CubeInfo *,const size_t,const size_t,NodeInfo *);
static MagickBooleanType
AssignImageColors(Image *,CubeInfo *),
ClassifyImageColors(CubeInfo *,const Image *,ExceptionInfo *),
DitherImage(Image *,CubeInfo *),
SetGrayscaleImage(Image *);
static size_t
DefineImageColormap(Image *,CubeInfo *,NodeInfo *);
static void
ClosestColor(const Image *,CubeInfo *,const NodeInfo *),
DestroyCubeInfo(CubeInfo *),
PruneLevel(const Image *,CubeInfo *,const NodeInfo *),
PruneToCubeDepth(const Image *,CubeInfo *,const NodeInfo *),
ReduceImageColors(const Image *,CubeInfo *);
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A c q u i r e Q u a n t i z e I n f o %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AcquireQuantizeInfo() allocates the QuantizeInfo structure.
%
% The format of the AcquireQuantizeInfo method is:
%
% QuantizeInfo *AcquireQuantizeInfo(const ImageInfo *image_info)
%
% A description of each parameter follows:
%
% o image_info: the image info.
%
*/
MagickExport QuantizeInfo *AcquireQuantizeInfo(const ImageInfo *image_info)
{
QuantizeInfo
*quantize_info;
quantize_info=(QuantizeInfo *) AcquireMagickMemory(sizeof(*quantize_info));
if (quantize_info == (QuantizeInfo *) NULL)
ThrowFatalException(ResourceLimitFatalError,"MemoryAllocationFailed");
GetQuantizeInfo(quantize_info);
if (image_info != (ImageInfo *) NULL)
{
const char
*option;
quantize_info->dither=image_info->dither;
option=GetImageOption(image_info,"dither");
if (option != (const char *) NULL)
quantize_info->dither_method=(DitherMethod) ParseCommandOption(
MagickDitherOptions,MagickFalse,option);
quantize_info->measure_error=image_info->verbose;
}
return(quantize_info);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ A s s i g n I m a g e C o l o r s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AssignImageColors() generates the output image from the pruned tree. The
% output image consists of two parts: (1) A color map, which is an array
% of color descriptions (RGB triples) for each color present in the
% output image; (2) A pixel array, which represents each pixel as an
% index into the color map array.
%
% First, the assignment phase makes one pass over the pruned color
% description tree to establish the image's color map. For each node
% with n2 > 0, it divides Sr, Sg, and Sb by n2 . This produces the mean
% color of all pixels that classify no lower than this node. Each of
% these colors becomes an entry in the color map.
%
% Finally, the assignment phase reclassifies each pixel in the pruned
% tree to identify the deepest node containing the pixel's color. The
% pixel's value in the pixel array becomes the index of this node's mean
% color in the color map.
%
% The format of the AssignImageColors() method is:
%
% MagickBooleanType AssignImageColors(Image *image,CubeInfo *cube_info)
%
% A description of each parameter follows.
%
% o image: the image.
%
% o cube_info: A pointer to the Cube structure.
%
*/
static inline void AssociateAlphaPixel(const CubeInfo *cube_info,
const PixelPacket *pixel,RealPixelPacket *alpha_pixel)
{
MagickRealType
alpha;
if ((cube_info->associate_alpha == MagickFalse) ||
(pixel->opacity == OpaqueOpacity))
{
alpha_pixel->red=(MagickRealType) GetPixelRed(pixel);
alpha_pixel->green=(MagickRealType) GetPixelGreen(pixel);
alpha_pixel->blue=(MagickRealType) GetPixelBlue(pixel);
alpha_pixel->opacity=(MagickRealType) GetPixelOpacity(pixel);
return;
}
alpha=(MagickRealType) (QuantumScale*(QuantumRange-GetPixelOpacity(pixel)));
alpha_pixel->red=alpha*GetPixelRed(pixel);
alpha_pixel->green=alpha*GetPixelGreen(pixel);
alpha_pixel->blue=alpha*GetPixelBlue(pixel);
alpha_pixel->opacity=(MagickRealType) GetPixelOpacity(pixel);
}
static inline Quantum ClampPixel(const MagickRealType value)
{
if (value < 0.0f)
return(0);
if (value >= (MagickRealType) QuantumRange)
return((Quantum) QuantumRange);
#if !defined(MAGICKCORE_HDRI_SUPPORT)
return((Quantum) (value+0.5f));
#else
return(value);
#endif
}
static inline size_t ColorToNodeId(const CubeInfo *cube_info,
const RealPixelPacket *pixel,size_t index)
{
size_t
id;
id=(size_t) (((ScaleQuantumToChar(ClampPixel(GetPixelRed(pixel))) >> index) &
0x01) | ((ScaleQuantumToChar(ClampPixel(GetPixelGreen(pixel))) >> index) &
0x01) << 1 | ((ScaleQuantumToChar(ClampPixel(GetPixelBlue(pixel))) >>
index) & 0x01) << 2);
if (cube_info->associate_alpha != MagickFalse)
id|=((ScaleQuantumToChar(ClampPixel(GetPixelOpacity(pixel))) >> index) &
0x1) << 3;
return(id);
}
static inline MagickBooleanType IsSameColor(const Image *image,
const PixelPacket *p,const PixelPacket *q)
{
if ((GetPixelRed(p) != GetPixelRed(q)) ||
(GetPixelGreen(p) != GetPixelGreen(q)) ||
(GetPixelBlue(p) != GetPixelBlue(q)))
return(MagickFalse);
if ((image->matte != MagickFalse) &&
(GetPixelOpacity(p) != GetPixelOpacity(q)))
return(MagickFalse);
return(MagickTrue);
}
static MagickBooleanType AssignImageColors(Image *image,CubeInfo *cube_info)
{
#define AssignImageTag "Assign/Image"
ssize_t
y;
/*
Allocate image colormap.
*/
if ((cube_info->quantize_info->colorspace != UndefinedColorspace) &&
(cube_info->quantize_info->colorspace != CMYKColorspace))
(void) TransformImageColorspace((Image *) image,
cube_info->quantize_info->colorspace);
else
if (IssRGBCompatibleColorspace(image->colorspace) == MagickFalse)
(void) TransformImageColorspace((Image *) image,sRGBColorspace);
if (AcquireImageColormap(image,cube_info->colors) == MagickFalse)
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
image->colors=0;
cube_info->transparent_pixels=0;
cube_info->transparent_index=(-1);
(void) DefineImageColormap(image,cube_info,cube_info->root);
/*
Create a reduced color image.
*/
if ((cube_info->quantize_info->dither != MagickFalse) &&
(cube_info->quantize_info->dither_method != NoDitherMethod))
(void) DitherImage(image,cube_info);
else
{
CacheView
*image_view;
ExceptionInfo
*exception;
MagickBooleanType
status;
status=MagickTrue;
exception=(&image->exception);
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(status) \
magick_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
CubeInfo
cube;
register IndexPacket
*restrict indexes;
register PixelPacket
*restrict q;
register ssize_t
x;
ssize_t
count;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,
exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewAuthenticIndexQueue(image_view);
cube=(*cube_info);
for (x=0; x < (ssize_t) image->columns; x+=count)
{
RealPixelPacket
pixel;
register const NodeInfo
*node_info;
register ssize_t
i;
size_t
id,
index;
/*
Identify the deepest node containing the pixel's color.
*/
for (count=1; (x+count) < (ssize_t) image->columns; count++)
if (IsSameColor(image,q,q+count) == MagickFalse)
break;
AssociateAlphaPixel(&cube,q,&pixel);
node_info=cube.root;
for (index=MaxTreeDepth-1; (ssize_t) index > 0; index--)
{
id=ColorToNodeId(&cube,&pixel,index);
if (node_info->child[id] == (NodeInfo *) NULL)
break;
node_info=node_info->child[id];
}
/*
Find closest color among siblings and their children.
*/
cube.target=pixel;
cube.distance=(MagickRealType) (4.0*(QuantumRange+1.0)*
(QuantumRange+1.0)+1.0);
ClosestColor(image,&cube,node_info->parent);
index=cube.color_number;
for (i=0; i < (ssize_t) count; i++)
{
if (image->storage_class == PseudoClass)
SetPixelIndex(indexes+x+i,index);
if (cube.quantize_info->measure_error == MagickFalse)
{
SetPixelRgb(q,image->colormap+index);
if (cube.associate_alpha != MagickFalse)
SetPixelOpacity(q,image->colormap[index].opacity);
}
q++;
}
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_AssignImageColors)
#endif
proceed=SetImageProgress(image,AssignImageTag,(MagickOffsetType) y,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
}
if (cube_info->quantize_info->measure_error != MagickFalse)
(void) GetImageQuantizeError(image);
if ((cube_info->quantize_info->number_colors == 2) &&
(cube_info->quantize_info->colorspace == GRAYColorspace))
{
Quantum
intensity;
register PixelPacket
*restrict q;
register ssize_t
i;
/*
Monochrome image.
*/
q=image->colormap;
for (i=0; i < (ssize_t) image->colors; i++)
{
intensity=(Quantum) (GetPixelIntensity(image,q) < ((MagickRealType)
QuantumRange/2.0) ? 0 : QuantumRange);
SetPixelRed(q,intensity);
SetPixelGreen(q,intensity);
SetPixelBlue(q,intensity);
q++;
}
}
(void) SyncImage(image);
if ((cube_info->quantize_info->colorspace != UndefinedColorspace) &&
(cube_info->quantize_info->colorspace != CMYKColorspace))
(void) TransformImageColorspace((Image *) image,sRGBColorspace);
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ C l a s s i f y I m a g e C o l o r s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ClassifyImageColors() begins by initializing a color description tree
% of sufficient depth to represent each possible input color in a leaf.
% However, it is impractical to generate a fully-formed color
% description tree in the storage_class phase for realistic values of
% Cmax. If colors components in the input image are quantized to k-bit
% precision, so that Cmax= 2k-1, the tree would need k levels below the
% root node to allow representing each possible input color in a leaf.
% This becomes prohibitive because the tree's total number of nodes is
% 1 + sum(i=1,k,8k).
%
% A complete tree would require 19,173,961 nodes for k = 8, Cmax = 255.
% Therefore, to avoid building a fully populated tree, QUANTIZE: (1)
% Initializes data structures for nodes only as they are needed; (2)
% Chooses a maximum depth for the tree as a function of the desired
% number of colors in the output image (currently log2(colormap size)).
%
% For each pixel in the input image, storage_class scans downward from
% the root of the color description tree. At each level of the tree it
% identifies the single node which represents a cube in RGB space
% containing It updates the following data for each such node:
%
% n1 : Number of pixels whose color is contained in the RGB cube
% which this node represents;
%
% n2 : Number of pixels whose color is not represented in a node at
% lower depth in the tree; initially, n2 = 0 for all nodes except
% leaves of the tree.
%
% Sr, Sg, Sb : Sums of the red, green, and blue component values for
% all pixels not classified at a lower depth. The combination of
% these sums and n2 will ultimately characterize the mean color of a
% set of pixels represented by this node.
%
% E: the distance squared in RGB space between each pixel contained
% within a node and the nodes' center. This represents the quantization
% error for a node.
%
% The format of the ClassifyImageColors() method is:
%
% MagickBooleanType ClassifyImageColors(CubeInfo *cube_info,
% const Image *image,ExceptionInfo *exception)
%
% A description of each parameter follows.
%
% o cube_info: A pointer to the Cube structure.
%
% o image: the image.
%
*/
static inline void SetAssociatedAlpha(const Image *image,CubeInfo *cube_info)
{
MagickBooleanType
associate_alpha;
associate_alpha=image->matte;
if (cube_info->quantize_info->colorspace == TransparentColorspace)
associate_alpha=MagickFalse;
if ((cube_info->quantize_info->number_colors == 2) &&
(cube_info->quantize_info->colorspace == GRAYColorspace))
associate_alpha=MagickFalse;
cube_info->associate_alpha=associate_alpha;
}
static MagickBooleanType ClassifyImageColors(CubeInfo *cube_info,
const Image *image,ExceptionInfo *exception)
{
#define ClassifyImageTag "Classify/Image"
CacheView
*image_view;
MagickBooleanType
proceed;
MagickRealType
bisect;
NodeInfo
*node_info;
RealPixelPacket
error,
mid,
midpoint,
pixel;
size_t
count,
id,
index,
level;
ssize_t
y;
/*
Classify the first cube_info->maximum_colors colors to a tree depth of 8.
*/
SetAssociatedAlpha(image,cube_info);
if ((cube_info->quantize_info->colorspace != UndefinedColorspace) &&
(cube_info->quantize_info->colorspace != CMYKColorspace))
(void) TransformImageColorspace((Image *) image,
cube_info->quantize_info->colorspace);
else
if (IssRGBCompatibleColorspace(image->colorspace) == MagickFalse)
(void) TransformImageColorspace((Image *) image,sRGBColorspace);
midpoint.red=(MagickRealType) QuantumRange/2.0;
midpoint.green=(MagickRealType) QuantumRange/2.0;
midpoint.blue=(MagickRealType) QuantumRange/2.0;
midpoint.opacity=(MagickRealType) QuantumRange/2.0;
error.opacity=0.0;
image_view=AcquireVirtualCacheView(image,exception);
for (y=0; y < (ssize_t) image->rows; y++)
{
register const PixelPacket
*restrict p;
register ssize_t
x;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
if (p == (const PixelPacket *) NULL)
break;
if (cube_info->nodes > MaxNodes)
{
/*
Prune one level if the color tree is too large.
*/
PruneLevel(image,cube_info,cube_info->root);
cube_info->depth--;
}
for (x=0; x < (ssize_t) image->columns; x+=(ssize_t) count)
{
/*
Start at the root and descend the color cube tree.
*/
for (count=1; (x+(ssize_t) count) < (ssize_t) image->columns; count++)
if (IsSameColor(image,p,p+count) == MagickFalse)
break;
AssociateAlphaPixel(cube_info,p,&pixel);
index=MaxTreeDepth-1;
bisect=((MagickRealType) QuantumRange+1.0)/2.0;
mid=midpoint;
node_info=cube_info->root;
for (level=1; level <= MaxTreeDepth; level++)
{
bisect*=0.5;
id=ColorToNodeId(cube_info,&pixel,index);
mid.red+=(id & 1) != 0 ? bisect : -bisect;
mid.green+=(id & 2) != 0 ? bisect : -bisect;
mid.blue+=(id & 4) != 0 ? bisect : -bisect;
mid.opacity+=(id & 8) != 0 ? bisect : -bisect;
if (node_info->child[id] == (NodeInfo *) NULL)
{
/*
Set colors of new node to contain pixel.
*/
node_info->child[id]=GetNodeInfo(cube_info,id,level,node_info);
if (node_info->child[id] == (NodeInfo *) NULL)
(void) ThrowMagickException(exception,GetMagickModule(),
ResourceLimitError,"MemoryAllocationFailed","`%s'",
image->filename);
if (level == MaxTreeDepth)
cube_info->colors++;
}
/*
Approximate the quantization error represented by this node.
*/
node_info=node_info->child[id];
error.red=QuantumScale*(pixel.red-mid.red);
error.green=QuantumScale*(pixel.green-mid.green);
error.blue=QuantumScale*(pixel.blue-mid.blue);
if (cube_info->associate_alpha != MagickFalse)
error.opacity=QuantumScale*(pixel.opacity-mid.opacity);
node_info->quantize_error+=sqrt((double) (count*error.red*error.red+
count*error.green*error.green+count*error.blue*error.blue+
count*error.opacity*error.opacity));
cube_info->root->quantize_error+=node_info->quantize_error;
index--;
}
/*
Sum RGB for this leaf for later derivation of the mean cube color.
*/
node_info->number_unique+=count;
node_info->total_color.red+=count*QuantumScale*pixel.red;
node_info->total_color.green+=count*QuantumScale*pixel.green;
node_info->total_color.blue+=count*QuantumScale*pixel.blue;
if (cube_info->associate_alpha != MagickFalse)
node_info->total_color.opacity+=count*QuantumScale*pixel.opacity;
p+=count;
}
if (cube_info->colors > cube_info->maximum_colors)
{
PruneToCubeDepth(image,cube_info,cube_info->root);
break;
}
proceed=SetImageProgress(image,ClassifyImageTag,(MagickOffsetType) y,
image->rows);
if (proceed == MagickFalse)
break;
}
for (y++; y < (ssize_t) image->rows; y++)
{
register const PixelPacket
*restrict p;
register ssize_t
x;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
if (p == (const PixelPacket *) NULL)
break;
if (cube_info->nodes > MaxNodes)
{
/*
Prune one level if the color tree is too large.
*/
PruneLevel(image,cube_info,cube_info->root);
cube_info->depth--;
}
for (x=0; x < (ssize_t) image->columns; x+=(ssize_t) count)
{
/*
Start at the root and descend the color cube tree.
*/
for (count=1; (x+(ssize_t) count) < (ssize_t) image->columns; count++)
if (IsSameColor(image,p,p+count) == MagickFalse)
break;
AssociateAlphaPixel(cube_info,p,&pixel);
index=MaxTreeDepth-1;
bisect=((MagickRealType) QuantumRange+1.0)/2.0;
mid=midpoint;
node_info=cube_info->root;
for (level=1; level <= cube_info->depth; level++)
{
bisect*=0.5;
id=ColorToNodeId(cube_info,&pixel,index);
mid.red+=(id & 1) != 0 ? bisect : -bisect;
mid.green+=(id & 2) != 0 ? bisect : -bisect;
mid.blue+=(id & 4) != 0 ? bisect : -bisect;
mid.opacity+=(id & 8) != 0 ? bisect : -bisect;
if (node_info->child[id] == (NodeInfo *) NULL)
{
/*
Set colors of new node to contain pixel.
*/
node_info->child[id]=GetNodeInfo(cube_info,id,level,node_info);
if (node_info->child[id] == (NodeInfo *) NULL)
(void) ThrowMagickException(exception,GetMagickModule(),
ResourceLimitError,"MemoryAllocationFailed","%s",
image->filename);
if (level == cube_info->depth)
cube_info->colors++;
}
/*
Approximate the quantization error represented by this node.
*/
node_info=node_info->child[id];
error.red=QuantumScale*(pixel.red-mid.red);
error.green=QuantumScale*(pixel.green-mid.green);
error.blue=QuantumScale*(pixel.blue-mid.blue);
if (cube_info->associate_alpha != MagickFalse)
error.opacity=QuantumScale*(pixel.opacity-mid.opacity);
node_info->quantize_error+=sqrt((double) (count*error.red*error.red+
count*error.green*error.green+count*error.blue*error.blue+
count*error.opacity*error.opacity));
cube_info->root->quantize_error+=node_info->quantize_error;
index--;
}
/*
Sum RGB for this leaf for later derivation of the mean cube color.
*/
node_info->number_unique+=count;
node_info->total_color.red+=count*QuantumScale*pixel.red;
node_info->total_color.green+=count*QuantumScale*pixel.green;
node_info->total_color.blue+=count*QuantumScale*pixel.blue;
if (cube_info->associate_alpha != MagickFalse)
node_info->total_color.opacity+=count*QuantumScale*pixel.opacity;
p+=count;
}
proceed=SetImageProgress(image,ClassifyImageTag,(MagickOffsetType) y,
image->rows);
if (proceed == MagickFalse)
break;
}
image_view=DestroyCacheView(image_view);
if ((cube_info->quantize_info->colorspace != UndefinedColorspace) &&
(cube_info->quantize_info->colorspace != CMYKColorspace))
(void) TransformImageColorspace((Image *) image,sRGBColorspace);
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C l o n e Q u a n t i z e I n f o %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% CloneQuantizeInfo() makes a duplicate of the given quantize info structure,
% or if quantize info is NULL, a new one.
%
% The format of the CloneQuantizeInfo method is:
%
% QuantizeInfo *CloneQuantizeInfo(const QuantizeInfo *quantize_info)
%
% A description of each parameter follows:
%
% o clone_info: Method CloneQuantizeInfo returns a duplicate of the given
% quantize info, or if image info is NULL a new one.
%
% o quantize_info: a structure of type info.
%
*/
MagickExport QuantizeInfo *CloneQuantizeInfo(const QuantizeInfo *quantize_info)
{
QuantizeInfo
*clone_info;
clone_info=(QuantizeInfo *) AcquireMagickMemory(sizeof(*clone_info));
if (clone_info == (QuantizeInfo *) NULL)
ThrowFatalException(ResourceLimitFatalError,"MemoryAllocationFailed");
GetQuantizeInfo(clone_info);
if (quantize_info == (QuantizeInfo *) NULL)
return(clone_info);
clone_info->number_colors=quantize_info->number_colors;
clone_info->tree_depth=quantize_info->tree_depth;
clone_info->dither=quantize_info->dither;
clone_info->dither_method=quantize_info->dither_method;
clone_info->colorspace=quantize_info->colorspace;
clone_info->measure_error=quantize_info->measure_error;
return(clone_info);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ C l o s e s t C o l o r %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ClosestColor() traverses the color cube tree at a particular node and
% determines which colormap entry best represents the input color.
%
% The format of the ClosestColor method is:
%
% void ClosestColor(const Image *image,CubeInfo *cube_info,
% const NodeInfo *node_info)
%
% A description of each parameter follows.
%
% o image: the image.
%
% o cube_info: A pointer to the Cube structure.
%
% o node_info: the address of a structure of type NodeInfo which points to a
% node in the color cube tree that is to be pruned.
%
*/
static void ClosestColor(const Image *image,CubeInfo *cube_info,
const NodeInfo *node_info)
{
register ssize_t
i;
size_t
number_children;
/*
Traverse any children.
*/
number_children=cube_info->associate_alpha == MagickFalse ? 8UL : 16UL;
for (i=0; i < (ssize_t) number_children; i++)
if (node_info->child[i] != (NodeInfo *) NULL)
ClosestColor(image,cube_info,node_info->child[i]);
if (node_info->number_unique != 0)
{
MagickRealType
pixel;
register MagickRealType
alpha,
beta,
distance;
register PixelPacket
*restrict p;
register RealPixelPacket
*restrict q;
/*
Determine if this color is "closest".
*/
p=image->colormap+node_info->color_number;
q=(&cube_info->target);
alpha=1.0;
beta=1.0;
if (cube_info->associate_alpha != MagickFalse)
{
alpha=(MagickRealType) (QuantumScale*GetPixelAlpha(p));
beta=(MagickRealType) (QuantumScale*GetPixelAlpha(q));
}
pixel=alpha*GetPixelRed(p)-beta*GetPixelRed(q);
distance=pixel*pixel;
if (distance <= cube_info->distance)
{
pixel=alpha*GetPixelGreen(p)-beta*GetPixelGreen(q);
distance+=pixel*pixel;
if (distance <= cube_info->distance)
{
pixel=alpha*GetPixelBlue(p)-beta*GetPixelBlue(q);
distance+=pixel*pixel;
if (distance <= cube_info->distance)
{
pixel=alpha-beta;
distance+=pixel*pixel;
if (distance <= cube_info->distance)
{
cube_info->distance=distance;
cube_info->color_number=node_info->color_number;
}
}
}
}
}
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C o m p r e s s I m a g e C o l o r m a p %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% CompressImageColormap() compresses an image colormap by removing any
% duplicate or unused color entries.
%
% The format of the CompressImageColormap method is:
%
% MagickBooleanType CompressImageColormap(Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickExport MagickBooleanType CompressImageColormap(Image *image)
{
QuantizeInfo
quantize_info;
assert(image != (Image *) NULL);
assert(image->signature == MagickSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (IsPaletteImage(image,&image->exception) == MagickFalse)
return(MagickFalse);
GetQuantizeInfo(&quantize_info);
quantize_info.number_colors=image->colors;
quantize_info.tree_depth=MaxTreeDepth;
return(QuantizeImage(&quantize_info,image));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ D e f i n e I m a g e C o l o r m a p %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% DefineImageColormap() traverses the color cube tree and notes each colormap
% entry. A colormap entry is any node in the color cube tree where the
% of unique colors is not zero. DefineImageColormap() returns the number of
% colors in the image colormap.
%
% The format of the DefineImageColormap method is:
%
% size_t DefineImageColormap(Image *image,CubeInfo *cube_info,
% NodeInfo *node_info)
%
% A description of each parameter follows.
%
% o image: the image.
%
% o cube_info: A pointer to the Cube structure.
%
% o node_info: the address of a structure of type NodeInfo which points to a
% node in the color cube tree that is to be pruned.
%
*/
static size_t DefineImageColormap(Image *image,CubeInfo *cube_info,
NodeInfo *node_info)
{
register ssize_t
i;
size_t
number_children;
/*
Traverse any children.
*/
number_children=cube_info->associate_alpha == MagickFalse ? 8UL : 16UL;
for (i=0; i < (ssize_t) number_children; i++)
if (node_info->child[i] != (NodeInfo *) NULL)
(void) DefineImageColormap(image,cube_info,node_info->child[i]);
if (node_info->number_unique != 0)
{
register MagickRealType
alpha;
register PixelPacket
*restrict q;
/*
Colormap entry is defined by the mean color in this cube.
*/
q=image->colormap+image->colors;
alpha=(MagickRealType) ((MagickOffsetType) node_info->number_unique);
alpha=PerceptibleReciprocal(alpha);
if (cube_info->associate_alpha == MagickFalse)
{
SetPixelRed(q,ClampToQuantum((MagickRealType) (alpha*
QuantumRange*node_info->total_color.red)));
SetPixelGreen(q,ClampToQuantum((MagickRealType) (alpha*
QuantumRange*node_info->total_color.green)));
SetPixelBlue(q,ClampToQuantum((MagickRealType) (alpha*
QuantumRange*node_info->total_color.blue)));
SetPixelOpacity(q,OpaqueOpacity);
}
else
{
MagickRealType
opacity;
opacity=(MagickRealType) (alpha*QuantumRange*
node_info->total_color.opacity);
SetPixelOpacity(q,ClampToQuantum(opacity));
if (q->opacity == OpaqueOpacity)
{
SetPixelRed(q,ClampToQuantum((MagickRealType) (alpha*
QuantumRange*node_info->total_color.red)));
SetPixelGreen(q,ClampToQuantum((MagickRealType) (alpha*
QuantumRange*node_info->total_color.green)));
SetPixelBlue(q,ClampToQuantum((MagickRealType) (alpha*
QuantumRange*node_info->total_color.blue)));
}
else
{
double
gamma;
gamma=(double) (QuantumScale*(QuantumRange-(double) q->opacity));
gamma=PerceptibleReciprocal(gamma);
SetPixelRed(q,ClampToQuantum((MagickRealType) (alpha*
gamma*QuantumRange*node_info->total_color.red)));
SetPixelGreen(q,ClampToQuantum((MagickRealType) (alpha*
gamma*QuantumRange*node_info->total_color.green)));
SetPixelBlue(q,ClampToQuantum((MagickRealType) (
alpha*gamma*QuantumRange*node_info->total_color.blue)));
if (node_info->number_unique > cube_info->transparent_pixels)
{
cube_info->transparent_pixels=node_info->number_unique;
cube_info->transparent_index=(ssize_t) image->colors;
}
}
}
node_info->color_number=image->colors++;
}
return(image->colors);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ D e s t r o y C u b e I n f o %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% DestroyCubeInfo() deallocates memory associated with an image.
%
% The format of the DestroyCubeInfo method is:
%
% DestroyCubeInfo(CubeInfo *cube_info)
%
% A description of each parameter follows:
%
% o cube_info: the address of a structure of type CubeInfo.
%
*/
static void DestroyCubeInfo(CubeInfo *cube_info)
{
register Nodes
*nodes;
/*
Release color cube tree storage.
*/
do
{
nodes=cube_info->node_queue->next;
cube_info->node_queue->nodes=(NodeInfo *) RelinquishMagickMemory(
cube_info->node_queue->nodes);
cube_info->node_queue=(Nodes *) RelinquishMagickMemory(
cube_info->node_queue);
cube_info->node_queue=nodes;
} while (cube_info->node_queue != (Nodes *) NULL);
if (cube_info->cache != (ssize_t *) NULL)
cube_info->cache=(ssize_t *) RelinquishMagickMemory(cube_info->cache);
cube_info->quantize_info=DestroyQuantizeInfo(cube_info->quantize_info);
cube_info=(CubeInfo *) RelinquishMagickMemory(cube_info);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% D e s t r o y Q u a n t i z e I n f o %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% DestroyQuantizeInfo() deallocates memory associated with an QuantizeInfo
% structure.
%
% The format of the DestroyQuantizeInfo method is:
%
% QuantizeInfo *DestroyQuantizeInfo(QuantizeInfo *quantize_info)
%
% A description of each parameter follows:
%
% o quantize_info: Specifies a pointer to an QuantizeInfo structure.
%
*/
MagickExport QuantizeInfo *DestroyQuantizeInfo(QuantizeInfo *quantize_info)
{
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
assert(quantize_info != (QuantizeInfo *) NULL);
assert(quantize_info->signature == MagickSignature);
quantize_info->signature=(~MagickSignature);
quantize_info=(QuantizeInfo *) RelinquishMagickMemory(quantize_info);
return(quantize_info);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ D i t h e r I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% DitherImage() distributes the difference between an original image and
% the corresponding color reduced algorithm to neighboring pixels using
% serpentine-scan Floyd-Steinberg error diffusion. DitherImage returns
% MagickTrue if the image is dithered otherwise MagickFalse.
%
% The format of the DitherImage method is:
%
% MagickBooleanType DitherImage(Image *image,CubeInfo *cube_info)
%
% A description of each parameter follows.
%
% o image: the image.
%
% o cube_info: A pointer to the Cube structure.
%
*/
static RealPixelPacket **DestroyPixelThreadSet(RealPixelPacket **pixels)
{
register ssize_t
i;
assert(pixels != (RealPixelPacket **) NULL);
for (i=0; i < (ssize_t) GetMagickResourceLimit(ThreadResource); i++)
if (pixels[i] != (RealPixelPacket *) NULL)
pixels[i]=(RealPixelPacket *) RelinquishMagickMemory(pixels[i]);
pixels=(RealPixelPacket **) RelinquishMagickMemory(pixels);
return(pixels);
}
static RealPixelPacket **AcquirePixelThreadSet(const size_t count)
{
RealPixelPacket
**pixels;
register ssize_t
i;
size_t
number_threads;
number_threads=(size_t) GetMagickResourceLimit(ThreadResource);
pixels=(RealPixelPacket **) AcquireQuantumMemory(number_threads,
sizeof(*pixels));
if (pixels == (RealPixelPacket **) NULL)
return((RealPixelPacket **) NULL);
(void) ResetMagickMemory(pixels,0,number_threads*sizeof(*pixels));
for (i=0; i < (ssize_t) number_threads; i++)
{
pixels[i]=(RealPixelPacket *) AcquireQuantumMemory(count,
2*sizeof(**pixels));
if (pixels[i] == (RealPixelPacket *) NULL)
return(DestroyPixelThreadSet(pixels));
}
return(pixels);
}
static inline ssize_t CacheOffset(CubeInfo *cube_info,
const RealPixelPacket *pixel)
{
#define RedShift(pixel) (((pixel) >> CacheShift) << (0*(8-CacheShift)))
#define GreenShift(pixel) (((pixel) >> CacheShift) << (1*(8-CacheShift)))
#define BlueShift(pixel) (((pixel) >> CacheShift) << (2*(8-CacheShift)))
#define AlphaShift(pixel) (((pixel) >> CacheShift) << (3*(8-CacheShift)))
ssize_t
offset;
offset=(ssize_t) (RedShift(ScaleQuantumToChar(ClampPixel(pixel->red))) |
GreenShift(ScaleQuantumToChar(ClampPixel(pixel->green))) |
BlueShift(ScaleQuantumToChar(ClampPixel(pixel->blue))));
if (cube_info->associate_alpha != MagickFalse)
offset|=AlphaShift(ScaleQuantumToChar(ClampPixel(pixel->opacity)));
return(offset);
}
static MagickBooleanType FloydSteinbergDither(Image *image,CubeInfo *cube_info)
{
#define DitherImageTag "Dither/Image"
CacheView
*image_view;
ExceptionInfo
*exception;
MagickBooleanType
status;
RealPixelPacket
**pixels;
ssize_t
y;
/*
Distribute quantization error using Floyd-Steinberg.
*/
pixels=AcquirePixelThreadSet(image->columns);
if (pixels == (RealPixelPacket **) NULL)
return(MagickFalse);
exception=(&image->exception);
status=MagickTrue;
image_view=AcquireAuthenticCacheView(image,exception);
for (y=0; y < (ssize_t) image->rows; y++)
{
const int
id = GetOpenMPThreadId();
CubeInfo
cube;
RealPixelPacket
*current,
*previous;
register IndexPacket
*restrict indexes;
register PixelPacket
*restrict q;
register ssize_t
x;
size_t
index;
ssize_t
v;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewAuthenticIndexQueue(image_view);
cube=(*cube_info);
current=pixels[id]+(y & 0x01)*image->columns;
previous=pixels[id]+((y+1) & 0x01)*image->columns;
v=(ssize_t) ((y & 0x01) ? -1 : 1);
for (x=0; x < (ssize_t) image->columns; x++)
{
RealPixelPacket
color,
pixel;
register ssize_t
i;
ssize_t
u;
u=(y & 0x01) ? (ssize_t) image->columns-1-x : x;
AssociateAlphaPixel(&cube,q+u,&pixel);
if (x > 0)
{
pixel.red+=7*current[u-v].red/16;
pixel.green+=7*current[u-v].green/16;
pixel.blue+=7*current[u-v].blue/16;
if (cube.associate_alpha != MagickFalse)
pixel.opacity+=7*current[u-v].opacity/16;
}
if (y > 0)
{
if (x < (ssize_t) (image->columns-1))
{
pixel.red+=previous[u+v].red/16;
pixel.green+=previous[u+v].green/16;
pixel.blue+=previous[u+v].blue/16;
if (cube.associate_alpha != MagickFalse)
pixel.opacity+=previous[u+v].opacity/16;
}
pixel.red+=5*previous[u].red/16;
pixel.green+=5*previous[u].green/16;
pixel.blue+=5*previous[u].blue/16;
if (cube.associate_alpha != MagickFalse)
pixel.opacity+=5*previous[u].opacity/16;
if (x > 0)
{
pixel.red+=3*previous[u-v].red/16;
pixel.green+=3*previous[u-v].green/16;
pixel.blue+=3*previous[u-v].blue/16;
if (cube.associate_alpha != MagickFalse)
pixel.opacity+=3*previous[u-v].opacity/16;
}
}
pixel.red=(MagickRealType) ClampPixel(pixel.red);
pixel.green=(MagickRealType) ClampPixel(pixel.green);
pixel.blue=(MagickRealType) ClampPixel(pixel.blue);
if (cube.associate_alpha != MagickFalse)
pixel.opacity=(MagickRealType) ClampPixel(pixel.opacity);
i=CacheOffset(&cube,&pixel);
if (cube.cache[i] < 0)
{
register NodeInfo
*node_info;
register size_t
id;
/*
Identify the deepest node containing the pixel's color.
*/
node_info=cube.root;
for (index=MaxTreeDepth-1; (ssize_t) index > 0; index--)
{
id=ColorToNodeId(&cube,&pixel,index);
if (node_info->child[id] == (NodeInfo *) NULL)
break;
node_info=node_info->child[id];
}
/*
Find closest color among siblings and their children.
*/
cube.target=pixel;
cube.distance=(MagickRealType) (4.0*(QuantumRange+1.0)*(QuantumRange+
1.0)+1.0);
ClosestColor(image,&cube,node_info->parent);
cube.cache[i]=(ssize_t) cube.color_number;
}
/*
Assign pixel to closest colormap entry.
*/
index=(size_t) cube.cache[i];
if (image->storage_class == PseudoClass)
SetPixelIndex(indexes+u,index);
if (cube.quantize_info->measure_error == MagickFalse)
{
SetPixelRgb(q+u,image->colormap+index);
if (cube.associate_alpha != MagickFalse)
SetPixelOpacity(q+u,image->colormap[index].opacity);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
/*
Store the error.
*/
AssociateAlphaPixel(&cube,image->colormap+index,&color);
current[u].red=pixel.red-color.red;
current[u].green=pixel.green-color.green;
current[u].blue=pixel.blue-color.blue;
if (cube.associate_alpha != MagickFalse)
current[u].opacity=pixel.opacity-color.opacity;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_FloydSteinbergDither)
#endif
proceed=SetImageProgress(image,DitherImageTag,(MagickOffsetType) y,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
}
image_view=DestroyCacheView(image_view);
pixels=DestroyPixelThreadSet(pixels);
return(MagickTrue);
}
static MagickBooleanType
RiemersmaDither(Image *,CacheView *,CubeInfo *,const unsigned int);
static void Riemersma(Image *image,CacheView *image_view,CubeInfo *cube_info,
const size_t level,const unsigned int direction)
{
if (level == 1)
switch (direction)
{
case WestGravity:
{
(void) RiemersmaDither(image,image_view,cube_info,EastGravity);
(void) RiemersmaDither(image,image_view,cube_info,SouthGravity);
(void) RiemersmaDither(image,image_view,cube_info,WestGravity);
break;
}
case EastGravity:
{
(void) RiemersmaDither(image,image_view,cube_info,WestGravity);
(void) RiemersmaDither(image,image_view,cube_info,NorthGravity);
(void) RiemersmaDither(image,image_view,cube_info,EastGravity);
break;
}
case NorthGravity:
{
(void) RiemersmaDither(image,image_view,cube_info,SouthGravity);
(void) RiemersmaDither(image,image_view,cube_info,EastGravity);
(void) RiemersmaDither(image,image_view,cube_info,NorthGravity);
break;
}
case SouthGravity:
{
(void) RiemersmaDither(image,image_view,cube_info,NorthGravity);
(void) RiemersmaDither(image,image_view,cube_info,WestGravity);
(void) RiemersmaDither(image,image_view,cube_info,SouthGravity);
break;
}
default:
break;
}
else
switch (direction)
{
case WestGravity:
{
Riemersma(image,image_view,cube_info,level-1,NorthGravity);
(void) RiemersmaDither(image,image_view,cube_info,EastGravity);
Riemersma(image,image_view,cube_info,level-1,WestGravity);
(void) RiemersmaDither(image,image_view,cube_info,SouthGravity);
Riemersma(image,image_view,cube_info,level-1,WestGravity);
(void) RiemersmaDither(image,image_view,cube_info,WestGravity);
Riemersma(image,image_view,cube_info,level-1,SouthGravity);
break;
}
case EastGravity:
{
Riemersma(image,image_view,cube_info,level-1,SouthGravity);
(void) RiemersmaDither(image,image_view,cube_info,WestGravity);
Riemersma(image,image_view,cube_info,level-1,EastGravity);
(void) RiemersmaDither(image,image_view,cube_info,NorthGravity);
Riemersma(image,image_view,cube_info,level-1,EastGravity);
(void) RiemersmaDither(image,image_view,cube_info,EastGravity);
Riemersma(image,image_view,cube_info,level-1,NorthGravity);
break;
}
case NorthGravity:
{
Riemersma(image,image_view,cube_info,level-1,WestGravity);
(void) RiemersmaDither(image,image_view,cube_info,SouthGravity);
Riemersma(image,image_view,cube_info,level-1,NorthGravity);
(void) RiemersmaDither(image,image_view,cube_info,EastGravity);
Riemersma(image,image_view,cube_info,level-1,NorthGravity);
(void) RiemersmaDither(image,image_view,cube_info,NorthGravity);
Riemersma(image,image_view,cube_info,level-1,EastGravity);
break;
}
case SouthGravity:
{
Riemersma(image,image_view,cube_info,level-1,EastGravity);
(void) RiemersmaDither(image,image_view,cube_info,NorthGravity);
Riemersma(image,image_view,cube_info,level-1,SouthGravity);
(void) RiemersmaDither(image,image_view,cube_info,WestGravity);
Riemersma(image,image_view,cube_info,level-1,SouthGravity);
(void) RiemersmaDither(image,image_view,cube_info,SouthGravity);
Riemersma(image,image_view,cube_info,level-1,WestGravity);
break;
}
default:
break;
}
}
static MagickBooleanType RiemersmaDither(Image *image,CacheView *image_view,
CubeInfo *cube_info,const unsigned int direction)
{
#define DitherImageTag "Dither/Image"
MagickBooleanType
proceed;
RealPixelPacket
color,
pixel;
register CubeInfo
*p;
size_t
index;
p=cube_info;
if ((p->x >= 0) && (p->x < (ssize_t) image->columns) &&
(p->y >= 0) && (p->y < (ssize_t) image->rows))
{
ExceptionInfo
*exception;
register IndexPacket
*restrict indexes;
register PixelPacket
*restrict q;
register ssize_t
i;
/*
Distribute error.
*/
exception=(&image->exception);
q=GetCacheViewAuthenticPixels(image_view,p->x,p->y,1,1,exception);
if (q == (PixelPacket *) NULL)
return(MagickFalse);
indexes=GetCacheViewAuthenticIndexQueue(image_view);
AssociateAlphaPixel(cube_info,q,&pixel);
for (i=0; i < ErrorQueueLength; i++)
{
pixel.red+=p->weights[i]*p->error[i].red;
pixel.green+=p->weights[i]*p->error[i].green;
pixel.blue+=p->weights[i]*p->error[i].blue;
if (cube_info->associate_alpha != MagickFalse)
pixel.opacity+=p->weights[i]*p->error[i].opacity;
}
pixel.red=(MagickRealType) ClampPixel(pixel.red);
pixel.green=(MagickRealType) ClampPixel(pixel.green);
pixel.blue=(MagickRealType) ClampPixel(pixel.blue);
if (cube_info->associate_alpha != MagickFalse)
pixel.opacity=(MagickRealType) ClampPixel(pixel.opacity);
i=CacheOffset(cube_info,&pixel);
if (p->cache[i] < 0)
{
register NodeInfo
*node_info;
register size_t
id;
/*
Identify the deepest node containing the pixel's color.
*/
node_info=p->root;
for (index=MaxTreeDepth-1; (ssize_t) index > 0; index--)
{
id=ColorToNodeId(cube_info,&pixel,index);
if (node_info->child[id] == (NodeInfo *) NULL)
break;
node_info=node_info->child[id];
}
node_info=node_info->parent;
/*
Find closest color among siblings and their children.
*/
p->target=pixel;
p->distance=(MagickRealType) (4.0*(QuantumRange+1.0)*((MagickRealType)
QuantumRange+1.0)+1.0);
ClosestColor(image,p,node_info->parent);
p->cache[i]=(ssize_t) p->color_number;
}
/*
Assign pixel to closest colormap entry.
*/
index=(size_t) (1*p->cache[i]);
if (image->storage_class == PseudoClass)
*indexes=(IndexPacket) index;
if (cube_info->quantize_info->measure_error == MagickFalse)
{
SetPixelRgb(q,image->colormap+index);
if (cube_info->associate_alpha != MagickFalse)
SetPixelOpacity(q,image->colormap[index].opacity);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
return(MagickFalse);
/*
Propagate the error as the last entry of the error queue.
*/
(void) CopyMagickMemory(p->error,p->error+1,(ErrorQueueLength-1)*
sizeof(p->error[0]));
AssociateAlphaPixel(cube_info,image->colormap+index,&color);
p->error[ErrorQueueLength-1].red=pixel.red-color.red;
p->error[ErrorQueueLength-1].green=pixel.green-color.green;
p->error[ErrorQueueLength-1].blue=pixel.blue-color.blue;
if (cube_info->associate_alpha != MagickFalse)
p->error[ErrorQueueLength-1].opacity=pixel.opacity-color.opacity;
proceed=SetImageProgress(image,DitherImageTag,p->offset,p->span);
if (proceed == MagickFalse)
return(MagickFalse);
p->offset++;
}
switch (direction)
{
case WestGravity: p->x--; break;
case EastGravity: p->x++; break;
case NorthGravity: p->y--; break;
case SouthGravity: p->y++; break;
}
return(MagickTrue);
}
static inline ssize_t MagickMax(const ssize_t x,const ssize_t y)
{
if (x > y)
return(x);
return(y);
}
static inline ssize_t MagickMin(const ssize_t x,const ssize_t y)
{
if (x < y)
return(x);
return(y);
}
static MagickBooleanType DitherImage(Image *image,CubeInfo *cube_info)
{
CacheView
*image_view;
MagickBooleanType
status;
register ssize_t
i;
size_t
depth;
if (cube_info->quantize_info->dither_method != RiemersmaDitherMethod)
return(FloydSteinbergDither(image,cube_info));
/*
Distribute quantization error along a Hilbert curve.
*/
(void) ResetMagickMemory(cube_info->error,0,ErrorQueueLength*
sizeof(*cube_info->error));
cube_info->x=0;
cube_info->y=0;
i=MagickMax((ssize_t) image->columns,(ssize_t) image->rows);
for (depth=1; i != 0; depth++)
i>>=1;
if ((ssize_t) (1L << depth) < MagickMax((ssize_t) image->columns,(ssize_t) image->rows))
depth++;
cube_info->offset=0;
cube_info->span=(MagickSizeType) image->columns*image->rows;
image_view=AcquireAuthenticCacheView(image,&image->exception);
if (depth > 1)
Riemersma(image,image_view,cube_info,depth-1,NorthGravity);
status=RiemersmaDither(image,image_view,cube_info,ForgetGravity);
image_view=DestroyCacheView(image_view);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t C u b e I n f o %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetCubeInfo() initialize the Cube data structure.
%
% The format of the GetCubeInfo method is:
%
% CubeInfo GetCubeInfo(const QuantizeInfo *quantize_info,
% const size_t depth,const size_t maximum_colors)
%
% A description of each parameter follows.
%
% o quantize_info: Specifies a pointer to an QuantizeInfo structure.
%
% o depth: Normally, this integer value is zero or one. A zero or
% one tells Quantize to choose a optimal tree depth of Log4(number_colors).
% A tree of this depth generally allows the best representation of the
% reference image with the least amount of memory and the fastest
% computational speed. In some cases, such as an image with low color
% dispersion (a few number of colors), a value other than
% Log4(number_colors) is required. To expand the color tree completely,
% use a value of 8.
%
% o maximum_colors: maximum colors.
%
*/
static CubeInfo *GetCubeInfo(const QuantizeInfo *quantize_info,
const size_t depth,const size_t maximum_colors)
{
CubeInfo
*cube_info;
MagickRealType
sum,
weight;
register ssize_t
i;
size_t
length;
/*
Initialize tree to describe color cube_info.
*/
cube_info=(CubeInfo *) AcquireMagickMemory(sizeof(*cube_info));
if (cube_info == (CubeInfo *) NULL)
return((CubeInfo *) NULL);
(void) ResetMagickMemory(cube_info,0,sizeof(*cube_info));
cube_info->depth=depth;
if (cube_info->depth > MaxTreeDepth)
cube_info->depth=MaxTreeDepth;
if (cube_info->depth < 2)
cube_info->depth=2;
cube_info->maximum_colors=maximum_colors;
/*
Initialize root node.
*/
cube_info->root=GetNodeInfo(cube_info,0,0,(NodeInfo *) NULL);
if (cube_info->root == (NodeInfo *) NULL)
return((CubeInfo *) NULL);
cube_info->root->parent=cube_info->root;
cube_info->quantize_info=CloneQuantizeInfo(quantize_info);
if (cube_info->quantize_info->dither == MagickFalse)
return(cube_info);
/*
Initialize dither resources.
*/
length=(size_t) (1UL << (4*(8-CacheShift)));
cube_info->cache=(ssize_t *) AcquireQuantumMemory(length,
sizeof(*cube_info->cache));
if (cube_info->cache == (ssize_t *) NULL)
return((CubeInfo *) NULL);
/*
Initialize color cache.
*/
for (i=0; i < (ssize_t) length; i++)
cube_info->cache[i]=(-1);
/*
Distribute weights along a curve of exponential decay.
*/
weight=1.0;
for (i=0; i < ErrorQueueLength; i++)
{
cube_info->weights[ErrorQueueLength-i-1]=PerceptibleReciprocal(weight);
weight*=exp(log(((double) QuantumRange+1.0))/(ErrorQueueLength-1.0));
}
/*
Normalize the weighting factors.
*/
weight=0.0;
for (i=0; i < ErrorQueueLength; i++)
weight+=cube_info->weights[i];
sum=0.0;
for (i=0; i < ErrorQueueLength; i++)
{
cube_info->weights[i]/=weight;
sum+=cube_info->weights[i];
}
cube_info->weights[0]+=1.0-sum;
return(cube_info);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t N o d e I n f o %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetNodeInfo() allocates memory for a new node in the color cube tree and
% presets all fields to zero.
%
% The format of the GetNodeInfo method is:
%
% NodeInfo *GetNodeInfo(CubeInfo *cube_info,const size_t id,
% const size_t level,NodeInfo *parent)
%
% A description of each parameter follows.
%
% o node: The GetNodeInfo method returns a pointer to a queue of nodes.
%
% o id: Specifies the child number of the node.
%
% o level: Specifies the level in the storage_class the node resides.
%
*/
static NodeInfo *GetNodeInfo(CubeInfo *cube_info,const size_t id,
const size_t level,NodeInfo *parent)
{
NodeInfo
*node_info;
if (cube_info->free_nodes == 0)
{
Nodes
*nodes;
/*
Allocate a new queue of nodes.
*/
nodes=(Nodes *) AcquireMagickMemory(sizeof(*nodes));
if (nodes == (Nodes *) NULL)
return((NodeInfo *) NULL);
nodes->nodes=(NodeInfo *) AcquireQuantumMemory(NodesInAList,
sizeof(*nodes->nodes));
if (nodes->nodes == (NodeInfo *) NULL)
return((NodeInfo *) NULL);
nodes->next=cube_info->node_queue;
cube_info->node_queue=nodes;
cube_info->next_node=nodes->nodes;
cube_info->free_nodes=NodesInAList;
}
cube_info->nodes++;
cube_info->free_nodes--;
node_info=cube_info->next_node++;
(void) ResetMagickMemory(node_info,0,sizeof(*node_info));
node_info->parent=parent;
node_info->id=id;
node_info->level=level;
return(node_info);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e Q u a n t i z e E r r o r %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageQuantizeError() measures the difference between the original
% and quantized images. This difference is the total quantization error.
% The error is computed by summing over all pixels in an image the distance
% squared in RGB space between each reference pixel value and its quantized
% value. These values are computed:
%
% o mean_error_per_pixel: This value is the mean error for any single
% pixel in the image.
%
% o normalized_mean_square_error: This value is the normalized mean
% quantization error for any single pixel in the image. This distance
% measure is normalized to a range between 0 and 1. It is independent
% of the range of red, green, and blue values in the image.
%
% o normalized_maximum_square_error: Thsi value is the normalized
% maximum quantization error for any single pixel in the image. This
% distance measure is normalized to a range between 0 and 1. It is
% independent of the range of red, green, and blue values in your image.
%
% The format of the GetImageQuantizeError method is:
%
% MagickBooleanType GetImageQuantizeError(Image *image)
%
% A description of each parameter follows.
%
% o image: the image.
%
*/
MagickExport MagickBooleanType GetImageQuantizeError(Image *image)
{
CacheView
*image_view;
ExceptionInfo
*exception;
IndexPacket
*indexes;
MagickRealType
alpha,
area,
beta,
distance,
maximum_error,
mean_error,
mean_error_per_pixel;
size_t
index;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
image->total_colors=GetNumberColors(image,(FILE *) NULL,&image->exception);
(void) ResetMagickMemory(&image->error,0,sizeof(image->error));
if (image->storage_class == DirectClass)
return(MagickTrue);
alpha=1.0;
beta=1.0;
area=3.0*image->columns*image->rows;
maximum_error=0.0;
mean_error_per_pixel=0.0;
mean_error=0.0;
exception=(&image->exception);
image_view=AcquireVirtualCacheView(image,exception);
for (y=0; y < (ssize_t) image->rows; y++)
{
register const PixelPacket
*restrict p;
register ssize_t
x;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
if (p == (const PixelPacket *) NULL)
break;
indexes=GetCacheViewAuthenticIndexQueue(image_view);
for (x=0; x < (ssize_t) image->columns; x++)
{
index=1UL*GetPixelIndex(indexes+x);
if (image->matte != MagickFalse)
{
alpha=(MagickRealType) (QuantumScale*(GetPixelAlpha(p)));
beta=(MagickRealType) (QuantumScale*(QuantumRange-
image->colormap[index].opacity));
}
distance=fabs(alpha*GetPixelRed(p)-beta*image->colormap[index].red);
mean_error_per_pixel+=distance;
mean_error+=distance*distance;
if (distance > maximum_error)
maximum_error=distance;
distance=fabs(alpha*GetPixelGreen(p)-beta*image->colormap[index].green);
mean_error_per_pixel+=distance;
mean_error+=distance*distance;
if (distance > maximum_error)
maximum_error=distance;
distance=fabs(alpha*GetPixelBlue(p)-beta*image->colormap[index].blue);
mean_error_per_pixel+=distance;
mean_error+=distance*distance;
if (distance > maximum_error)
maximum_error=distance;
p++;
}
}
image_view=DestroyCacheView(image_view);
image->error.mean_error_per_pixel=(double) mean_error_per_pixel/area;
image->error.normalized_mean_error=(double) QuantumScale*QuantumScale*
mean_error/area;
image->error.normalized_maximum_error=(double) QuantumScale*maximum_error;
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t Q u a n t i z e I n f o %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetQuantizeInfo() initializes the QuantizeInfo structure.
%
% The format of the GetQuantizeInfo method is:
%
% GetQuantizeInfo(QuantizeInfo *quantize_info)
%
% A description of each parameter follows:
%
% o quantize_info: Specifies a pointer to a QuantizeInfo structure.
%
*/
MagickExport void GetQuantizeInfo(QuantizeInfo *quantize_info)
{
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
assert(quantize_info != (QuantizeInfo *) NULL);
(void) ResetMagickMemory(quantize_info,0,sizeof(*quantize_info));
quantize_info->number_colors=256;
quantize_info->dither=MagickTrue;
quantize_info->dither_method=RiemersmaDitherMethod;
quantize_info->colorspace=UndefinedColorspace;
quantize_info->measure_error=MagickFalse;
quantize_info->signature=MagickSignature;
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% P o s t e r i z e I m a g e C h a n n e l %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% PosterizeImage() reduces the image to a limited number of colors for a
% "poster" effect.
%
% The format of the PosterizeImage method is:
%
% MagickBooleanType PosterizeImage(Image *image,const size_t levels,
% const MagickBooleanType dither)
% MagickBooleanType PosterizeImageChannel(Image *image,
% const ChannelType channel,const size_t levels,
% const MagickBooleanType dither)
%
% A description of each parameter follows:
%
% o image: Specifies a pointer to an Image structure.
%
% o levels: Number of color levels allowed in each channel. Very low values
% (2, 3, or 4) have the most visible effect.
%
% o dither: Set this integer value to something other than zero to dither
% the mapped image.
%
*/
static inline ssize_t MagickRound(MagickRealType x)
{
/*
Round the fraction to nearest integer.
*/
if (x >= 0.0)
return((ssize_t) (x+0.5));
return((ssize_t) (x-0.5));
}
MagickExport MagickBooleanType PosterizeImage(Image *image,const size_t levels,
const MagickBooleanType dither)
{
MagickBooleanType
status;
status=PosterizeImageChannel(image,DefaultChannels,levels,dither);
return(status);
}
MagickExport MagickBooleanType PosterizeImageChannel(Image *image,
const ChannelType channel,const size_t levels,const MagickBooleanType dither)
{
#define PosterizeImageTag "Posterize/Image"
#define PosterizePixel(pixel) (Quantum) (QuantumRange*(MagickRound( \
QuantumScale*pixel*(levels-1)))/MagickMax((ssize_t) levels-1,1))
CacheView
*image_view;
ExceptionInfo
*exception;
MagickBooleanType
status;
MagickOffsetType
progress;
QuantizeInfo
*quantize_info;
register ssize_t
i;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (image->storage_class == PseudoClass)
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_threads(image,image,1,1)
#endif
for (i=0; i < (ssize_t) image->colors; i++)
{
/*
Posterize colormap.
*/
if ((channel & RedChannel) != 0)
image->colormap[i].red=PosterizePixel(image->colormap[i].red);
if ((channel & GreenChannel) != 0)
image->colormap[i].green=PosterizePixel(image->colormap[i].green);
if ((channel & BlueChannel) != 0)
image->colormap[i].blue=PosterizePixel(image->colormap[i].blue);
if ((channel & OpacityChannel) != 0)
image->colormap[i].opacity=PosterizePixel(image->colormap[i].opacity);
}
/*
Posterize image.
*/
status=MagickTrue;
progress=0;
exception=(&image->exception);
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register IndexPacket
*restrict indexes;
register PixelPacket
*restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewAuthenticIndexQueue(image_view);
for (x=0; x < (ssize_t) image->columns; x++)
{
if ((channel & RedChannel) != 0)
SetPixelRed(q,PosterizePixel(GetPixelRed(q)));
if ((channel & GreenChannel) != 0)
SetPixelGreen(q,PosterizePixel(GetPixelGreen(q)));
if ((channel & BlueChannel) != 0)
SetPixelBlue(q,PosterizePixel(GetPixelBlue(q)));
if (((channel & OpacityChannel) != 0) &&
(image->matte == MagickTrue))
SetPixelOpacity(q,PosterizePixel(GetPixelOpacity(q)));
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
SetPixelIndex(indexes+x,PosterizePixel(GetPixelIndex(indexes+x)));
q++;
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_PosterizeImageChannel)
#endif
proceed=SetImageProgress(image,PosterizeImageTag,progress++,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
quantize_info=AcquireQuantizeInfo((ImageInfo *) NULL);
quantize_info->number_colors=(size_t) MagickMin((ssize_t) levels*levels*
levels,MaxColormapSize+1);
quantize_info->dither=dither;
quantize_info->tree_depth=MaxTreeDepth;
status=QuantizeImage(quantize_info,image);
quantize_info=DestroyQuantizeInfo(quantize_info);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ P r u n e C h i l d %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% PruneChild() deletes the given node and merges its statistics into its
% parent.
%
% The format of the PruneSubtree method is:
%
% PruneChild(const Image *image,CubeInfo *cube_info,
% const NodeInfo *node_info)
%
% A description of each parameter follows.
%
% o image: the image.
%
% o cube_info: A pointer to the Cube structure.
%
% o node_info: pointer to node in color cube tree that is to be pruned.
%
*/
static void PruneChild(const Image *image,CubeInfo *cube_info,
const NodeInfo *node_info)
{
NodeInfo
*parent;
register ssize_t
i;
size_t
number_children;
/*
Traverse any children.
*/
number_children=cube_info->associate_alpha == MagickFalse ? 8UL : 16UL;
for (i=0; i < (ssize_t) number_children; i++)
if (node_info->child[i] != (NodeInfo *) NULL)
PruneChild(image,cube_info,node_info->child[i]);
/*
Merge color statistics into parent.
*/
parent=node_info->parent;
parent->number_unique+=node_info->number_unique;
parent->total_color.red+=node_info->total_color.red;
parent->total_color.green+=node_info->total_color.green;
parent->total_color.blue+=node_info->total_color.blue;
parent->total_color.opacity+=node_info->total_color.opacity;
parent->child[node_info->id]=(NodeInfo *) NULL;
cube_info->nodes--;
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ P r u n e L e v e l %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% PruneLevel() deletes all nodes at the bottom level of the color tree merging
% their color statistics into their parent node.
%
% The format of the PruneLevel method is:
%
% PruneLevel(const Image *image,CubeInfo *cube_info,
% const NodeInfo *node_info)
%
% A description of each parameter follows.
%
% o image: the image.
%
% o cube_info: A pointer to the Cube structure.
%
% o node_info: pointer to node in color cube tree that is to be pruned.
%
*/
static void PruneLevel(const Image *image,CubeInfo *cube_info,
const NodeInfo *node_info)
{
register ssize_t
i;
size_t
number_children;
/*
Traverse any children.
*/
number_children=cube_info->associate_alpha == MagickFalse ? 8UL : 16UL;
for (i=0; i < (ssize_t) number_children; i++)
if (node_info->child[i] != (NodeInfo *) NULL)
PruneLevel(image,cube_info,node_info->child[i]);
if (node_info->level == cube_info->depth)
PruneChild(image,cube_info,node_info);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ P r u n e T o C u b e D e p t h %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% PruneToCubeDepth() deletes any nodes at a depth greater than
% cube_info->depth while merging their color statistics into their parent
% node.
%
% The format of the PruneToCubeDepth method is:
%
% PruneToCubeDepth(const Image *image,CubeInfo *cube_info,
% const NodeInfo *node_info)
%
% A description of each parameter follows.
%
% o cube_info: A pointer to the Cube structure.
%
% o node_info: pointer to node in color cube tree that is to be pruned.
%
*/
static void PruneToCubeDepth(const Image *image,CubeInfo *cube_info,
const NodeInfo *node_info)
{
register ssize_t
i;
size_t
number_children;
/*
Traverse any children.
*/
number_children=cube_info->associate_alpha == MagickFalse ? 8UL : 16UL;
for (i=0; i < (ssize_t) number_children; i++)
if (node_info->child[i] != (NodeInfo *) NULL)
PruneToCubeDepth(image,cube_info,node_info->child[i]);
if (node_info->level > cube_info->depth)
PruneChild(image,cube_info,node_info);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% Q u a n t i z e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% QuantizeImage() analyzes the colors within a reference image and chooses a
% fixed number of colors to represent the image. The goal of the algorithm
% is to minimize the color difference between the input and output image while
% minimizing the processing time.
%
% The format of the QuantizeImage method is:
%
% MagickBooleanType QuantizeImage(const QuantizeInfo *quantize_info,
% Image *image)
%
% A description of each parameter follows:
%
% o quantize_info: Specifies a pointer to an QuantizeInfo structure.
%
% o image: the image.
%
*/
static MagickBooleanType DirectToColormapImage(Image *image,
ExceptionInfo *exception)
{
CacheView
*image_view;
MagickBooleanType
status;
register ssize_t
i;
size_t
number_colors;
ssize_t
y;
status=MagickTrue;
number_colors=(size_t) (image->columns*image->rows);
if (AcquireImageColormap(image,number_colors) == MagickFalse)
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
if (image->colors != number_colors)
return(MagickFalse);
i=0;
image_view=AcquireAuthenticCacheView(image,exception);
for (y=0; y < (ssize_t) image->rows; y++)
{
MagickBooleanType
proceed;
register IndexPacket
*restrict indexes;
register PixelPacket
*restrict q;
register ssize_t
x;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (const PixelPacket *) NULL)
break;
indexes=GetCacheViewAuthenticIndexQueue(image_view);
for (x=0; x < (ssize_t) image->columns; x++)
{
image->colormap[i].red=GetPixelRed(q);
image->colormap[i].green=GetPixelGreen(q);
image->colormap[i].blue=GetPixelBlue(q);
image->colormap[i].opacity=GetPixelOpacity(q);
SetPixelIndex(indexes+x,i);
i++;
q++;
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
break;
proceed=SetImageProgress(image,AssignImageTag,(MagickOffsetType) y,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
return(status);
}
MagickExport MagickBooleanType QuantizeImage(const QuantizeInfo *quantize_info,
Image *image)
{
CubeInfo
*cube_info;
MagickBooleanType
status;
size_t
depth,
maximum_colors;
assert(quantize_info != (const QuantizeInfo *) NULL);
assert(quantize_info->signature == MagickSignature);
assert(image != (Image *) NULL);
assert(image->signature == MagickSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
maximum_colors=quantize_info->number_colors;
if (maximum_colors == 0)
maximum_colors=MaxColormapSize;
if (maximum_colors > MaxColormapSize)
maximum_colors=MaxColormapSize;
if (image->matte == MagickFalse)
{
if ((image->columns*image->rows) <= maximum_colors)
(void) DirectToColormapImage(image,&image->exception);
if (IsGrayImage(image,&image->exception) != MagickFalse)
(void) SetGrayscaleImage(image);
}
if ((image->storage_class == PseudoClass) &&
(image->colors <= maximum_colors))
return(MagickTrue);
depth=quantize_info->tree_depth;
if (depth == 0)
{
size_t
colors;
/*
Depth of color tree is: Log4(colormap size)+2.
*/
colors=maximum_colors;
for (depth=1; colors != 0; depth++)
colors>>=2;
if ((quantize_info->dither != MagickFalse) && (depth > 2))
depth--;
if ((image->matte != MagickFalse) && (depth > 5))
depth--;
}
/*
Initialize color cube.
*/
cube_info=GetCubeInfo(quantize_info,depth,maximum_colors);
if (cube_info == (CubeInfo *) NULL)
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
status=ClassifyImageColors(cube_info,image,&image->exception);
if (status != MagickFalse)
{
/*
Reduce the number of colors in the image.
*/
ReduceImageColors(image,cube_info);
status=AssignImageColors(image,cube_info);
}
DestroyCubeInfo(cube_info);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% Q u a n t i z e I m a g e s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% QuantizeImages() analyzes the colors within a set of reference images and
% chooses a fixed number of colors to represent the set. The goal of the
% algorithm is to minimize the color difference between the input and output
% images while minimizing the processing time.
%
% The format of the QuantizeImages method is:
%
% MagickBooleanType QuantizeImages(const QuantizeInfo *quantize_info,
% Image *images)
%
% A description of each parameter follows:
%
% o quantize_info: Specifies a pointer to an QuantizeInfo structure.
%
% o images: Specifies a pointer to a list of Image structures.
%
*/
MagickExport MagickBooleanType QuantizeImages(const QuantizeInfo *quantize_info,
Image *images)
{
CubeInfo
*cube_info;
Image
*image;
MagickBooleanType
proceed,
status;
MagickProgressMonitor
progress_monitor;
register ssize_t
i;
size_t
depth,
maximum_colors,
number_images;
assert(quantize_info != (const QuantizeInfo *) NULL);
assert(quantize_info->signature == MagickSignature);
assert(images != (Image *) NULL);
assert(images->signature == MagickSignature);
if (images->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",images->filename);
if (GetNextImageInList(images) == (Image *) NULL)
{
/*
Handle a single image with QuantizeImage.
*/
status=QuantizeImage(quantize_info,images);
return(status);
}
status=MagickFalse;
maximum_colors=quantize_info->number_colors;
if (maximum_colors == 0)
maximum_colors=MaxColormapSize;
if (maximum_colors > MaxColormapSize)
maximum_colors=MaxColormapSize;
depth=quantize_info->tree_depth;
if (depth == 0)
{
size_t
colors;
/*
Depth of color tree is: Log4(colormap size)+2.
*/
colors=maximum_colors;
for (depth=1; colors != 0; depth++)
colors>>=2;
if (quantize_info->dither != MagickFalse)
depth--;
}
/*
Initialize color cube.
*/
cube_info=GetCubeInfo(quantize_info,depth,maximum_colors);
if (cube_info == (CubeInfo *) NULL)
{
(void) ThrowMagickException(&images->exception,GetMagickModule(),
ResourceLimitError,"MemoryAllocationFailed","`%s'",images->filename);
return(MagickFalse);
}
number_images=GetImageListLength(images);
image=images;
for (i=0; image != (Image *) NULL; i++)
{
progress_monitor=SetImageProgressMonitor(image,(MagickProgressMonitor) NULL,
image->client_data);
status=ClassifyImageColors(cube_info,image,&image->exception);
if (status == MagickFalse)
break;
(void) SetImageProgressMonitor(image,progress_monitor,image->client_data);
proceed=SetImageProgress(image,AssignImageTag,(MagickOffsetType) i,
number_images);
if (proceed == MagickFalse)
break;
image=GetNextImageInList(image);
}
if (status != MagickFalse)
{
/*
Reduce the number of colors in an image sequence.
*/
ReduceImageColors(images,cube_info);
image=images;
for (i=0; image != (Image *) NULL; i++)
{
progress_monitor=SetImageProgressMonitor(image,(MagickProgressMonitor)
NULL,image->client_data);
status=AssignImageColors(image,cube_info);
if (status == MagickFalse)
break;
(void) SetImageProgressMonitor(image,progress_monitor,
image->client_data);
proceed=SetImageProgress(image,AssignImageTag,(MagickOffsetType) i,
number_images);
if (proceed == MagickFalse)
break;
image=GetNextImageInList(image);
}
}
DestroyCubeInfo(cube_info);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ R e d u c e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Reduce() traverses the color cube tree and prunes any node whose
% quantization error falls below a particular threshold.
%
% The format of the Reduce method is:
%
% Reduce(const Image *image,CubeInfo *cube_info,const NodeInfo *node_info)
%
% A description of each parameter follows.
%
% o image: the image.
%
% o cube_info: A pointer to the Cube structure.
%
% o node_info: pointer to node in color cube tree that is to be pruned.
%
*/
static void Reduce(const Image *image,CubeInfo *cube_info,
const NodeInfo *node_info)
{
register ssize_t
i;
size_t
number_children;
/*
Traverse any children.
*/
number_children=cube_info->associate_alpha == MagickFalse ? 8UL : 16UL;
for (i=0; i < (ssize_t) number_children; i++)
if (node_info->child[i] != (NodeInfo *) NULL)
Reduce(image,cube_info,node_info->child[i]);
if (node_info->quantize_error <= cube_info->pruning_threshold)
PruneChild(image,cube_info,node_info);
else
{
/*
Find minimum pruning threshold.
*/
if (node_info->number_unique > 0)
cube_info->colors++;
if (node_info->quantize_error < cube_info->next_threshold)
cube_info->next_threshold=node_info->quantize_error;
}
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ R e d u c e I m a g e C o l o r s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ReduceImageColors() repeatedly prunes the tree until the number of nodes
% with n2 > 0 is less than or equal to the maximum number of colors allowed
% in the output image. On any given iteration over the tree, it selects
% those nodes whose E value is minimal for pruning and merges their
% color statistics upward. It uses a pruning threshold, Ep, to govern
% node selection as follows:
%
% Ep = 0
% while number of nodes with (n2 > 0) > required maximum number of colors
% prune all nodes such that E <= Ep
% Set Ep to minimum E in remaining nodes
%
% This has the effect of minimizing any quantization error when merging
% two nodes together.
%
% When a node to be pruned has offspring, the pruning procedure invokes
% itself recursively in order to prune the tree from the leaves upward.
% n2, Sr, Sg, and Sb in a node being pruned are always added to the
% corresponding data in that node's parent. This retains the pruned
% node's color characteristics for later averaging.
%
% For each node, n2 pixels exist for which that node represents the
% smallest volume in RGB space containing those pixel's colors. When n2
% > 0 the node will uniquely define a color in the output image. At the
% beginning of reduction, n2 = 0 for all nodes except a the leaves of
% the tree which represent colors present in the input image.
%
% The other pixel count, n1, indicates the total number of colors
% within the cubic volume which the node represents. This includes n1 -
% n2 pixels whose colors should be defined by nodes at a lower level in
% the tree.
%
% The format of the ReduceImageColors method is:
%
% ReduceImageColors(const Image *image,CubeInfo *cube_info)
%
% A description of each parameter follows.
%
% o image: the image.
%
% o cube_info: A pointer to the Cube structure.
%
*/
static void ReduceImageColors(const Image *image,CubeInfo *cube_info)
{
#define ReduceImageTag "Reduce/Image"
MagickBooleanType
proceed;
MagickOffsetType
offset;
size_t
span;
cube_info->next_threshold=0.0;
for (span=cube_info->colors; cube_info->colors > cube_info->maximum_colors; )
{
cube_info->pruning_threshold=cube_info->next_threshold;
cube_info->next_threshold=cube_info->root->quantize_error-1;
cube_info->colors=0;
Reduce(image,cube_info,cube_info->root);
offset=(MagickOffsetType) span-cube_info->colors;
proceed=SetImageProgress(image,ReduceImageTag,offset,span-
cube_info->maximum_colors+1);
if (proceed == MagickFalse)
break;
}
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% R e m a p I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% RemapImage() replaces the colors of an image with the closest color from
% a reference image.
%
% The format of the RemapImage method is:
%
% MagickBooleanType RemapImage(const QuantizeInfo *quantize_info,
% Image *image,const Image *remap_image)
%
% A description of each parameter follows:
%
% o quantize_info: Specifies a pointer to an QuantizeInfo structure.
%
% o image: the image.
%
% o remap_image: the reference image.
%
*/
MagickExport MagickBooleanType RemapImage(const QuantizeInfo *quantize_info,
Image *image,const Image *remap_image)
{
CubeInfo
*cube_info;
MagickBooleanType
status;
/*
Initialize color cube.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(remap_image != (Image *) NULL);
assert(remap_image->signature == MagickSignature);
cube_info=GetCubeInfo(quantize_info,MaxTreeDepth,
quantize_info->number_colors);
if (cube_info == (CubeInfo *) NULL)
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
status=ClassifyImageColors(cube_info,remap_image,&image->exception);
if (status != MagickFalse)
{
/*
Classify image colors from the reference image.
*/
cube_info->quantize_info->number_colors=cube_info->colors;
status=AssignImageColors(image,cube_info);
}
DestroyCubeInfo(cube_info);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% R e m a p I m a g e s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% RemapImages() replaces the colors of a sequence of images with the
% closest color from a reference image.
%
% The format of the RemapImage method is:
%
% MagickBooleanType RemapImages(const QuantizeInfo *quantize_info,
% Image *images,Image *remap_image)
%
% A description of each parameter follows:
%
% o quantize_info: Specifies a pointer to an QuantizeInfo structure.
%
% o images: the image sequence.
%
% o remap_image: the reference image.
%
*/
MagickExport MagickBooleanType RemapImages(const QuantizeInfo *quantize_info,
Image *images,const Image *remap_image)
{
CubeInfo
*cube_info;
Image
*image;
MagickBooleanType
status;
assert(images != (Image *) NULL);
assert(images->signature == MagickSignature);
if (images->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",images->filename);
image=images;
if (remap_image == (Image *) NULL)
{
/*
Create a global colormap for an image sequence.
*/
status=QuantizeImages(quantize_info,images);
return(status);
}
/*
Classify image colors from the reference image.
*/
cube_info=GetCubeInfo(quantize_info,MaxTreeDepth,
quantize_info->number_colors);
if (cube_info == (CubeInfo *) NULL)
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
status=ClassifyImageColors(cube_info,remap_image,&image->exception);
if (status != MagickFalse)
{
/*
Classify image colors from the reference image.
*/
cube_info->quantize_info->number_colors=cube_info->colors;
image=images;
for ( ; image != (Image *) NULL; image=GetNextImageInList(image))
{
status=AssignImageColors(image,cube_info);
if (status == MagickFalse)
break;
}
}
DestroyCubeInfo(cube_info);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t G r a y s c a l e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetGrayscaleImage() converts an image to a PseudoClass grayscale image.
%
% The format of the SetGrayscaleImage method is:
%
% MagickBooleanType SetGrayscaleImage(Image *image)
%
% A description of each parameter follows:
%
% o image: The image.
%
*/
#if defined(__cplusplus) || defined(c_plusplus)
extern "C" {
#endif
static int IntensityCompare(const void *x,const void *y)
{
PixelPacket
*color_1,
*color_2;
int
intensity;
color_1=(PixelPacket *) x;
color_2=(PixelPacket *) y;
intensity=PixelPacketIntensity(color_1)-(int) PixelPacketIntensity(color_2);
return((int) intensity);
}
#if defined(__cplusplus) || defined(c_plusplus)
}
#endif
static MagickBooleanType SetGrayscaleImage(Image *image)
{
CacheView
*image_view;
ExceptionInfo
*exception;
MagickBooleanType
status;
PixelPacket
*colormap;
register ssize_t
i;
ssize_t
*colormap_index,
j,
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickSignature);
if (image->type != GrayscaleType)
(void) TransformImageColorspace(image,GRAYColorspace);
colormap_index=(ssize_t *) AcquireQuantumMemory(MaxMap+1,
sizeof(*colormap_index));
if (colormap_index == (ssize_t *) NULL)
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
if (image->storage_class != PseudoClass)
{
ExceptionInfo
*exception;
for (i=0; i <= (ssize_t) MaxMap; i++)
colormap_index[i]=(-1);
if (AcquireImageColormap(image,MaxMap+1) == MagickFalse)
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
image->colors=0;
status=MagickTrue;
exception=(&image->exception);
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(status) \
magick_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register IndexPacket
*restrict indexes;
register const PixelPacket
*restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,
exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewAuthenticIndexQueue(image_view);
for (x=0; x < (ssize_t) image->columns; x++)
{
register size_t
intensity;
intensity=ScaleQuantumToMap(GetPixelRed(q));
if (colormap_index[intensity] < 0)
{
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_SetGrayscaleImage)
#endif
if (colormap_index[intensity] < 0)
{
colormap_index[intensity]=(ssize_t) image->colors;
image->colormap[image->colors].red=GetPixelRed(q);
image->colormap[image->colors].green=GetPixelGreen(q);
image->colormap[image->colors].blue=GetPixelBlue(q);
image->colors++;
}
}
SetPixelIndex(indexes+x,colormap_index[intensity]);
q++;
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
}
for (i=0; i < (ssize_t) image->colors; i++)
image->colormap[i].opacity=(unsigned short) i;
qsort((void *) image->colormap,image->colors,sizeof(PixelPacket),
IntensityCompare);
colormap=(PixelPacket *) AcquireQuantumMemory(image->colors,
sizeof(*colormap));
if (colormap == (PixelPacket *) NULL)
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
j=0;
colormap[j]=image->colormap[0];
for (i=0; i < (ssize_t) image->colors; i++)
{
if (IsSameColor(image,&colormap[j],&image->colormap[i]) == MagickFalse)
{
j++;
colormap[j]=image->colormap[i];
}
colormap_index[(ssize_t) image->colormap[i].opacity]=j;
}
image->colors=(size_t) (j+1);
image->colormap=(PixelPacket *) RelinquishMagickMemory(image->colormap);
image->colormap=colormap;
status=MagickTrue;
exception=(&image->exception);
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(status) \
magick_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register IndexPacket
*restrict indexes;
register const PixelPacket
*restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewAuthenticIndexQueue(image_view);
for (x=0; x < (ssize_t) image->columns; x++)
SetPixelIndex(indexes+x,colormap_index[ScaleQuantumToMap(GetPixelIndex(
indexes+x))]);
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
colormap_index=(ssize_t *) RelinquishMagickMemory(colormap_index);
image->type=GrayscaleType;
if (IsMonochromeImage(image,&image->exception) != MagickFalse)
image->type=BilevelType;
return(status);
}
|
cython_np.c | /* Generated by Cython 0.29.24 */
#ifndef PY_SSIZE_T_CLEAN
#define PY_SSIZE_T_CLEAN
#endif /* 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_24"
#define CYTHON_HEX_VERSION 0x001D18F0
#define CYTHON_FUTURE_DIVISION 0
#include <stddef.h>
#ifndef offsetof
#define offsetof(type, member) ( (size_t) & ((type*)0) -> member )
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#if !defined(WIN32) && !defined(MS_WINDOWS)
#ifndef __stdcall
#define __stdcall
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#ifndef __cdecl
#define __cdecl
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#ifndef __fastcall
#define __fastcall
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#ifndef DL_IMPORT
#define DL_IMPORT(t) t
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#ifndef DL_EXPORT
#define DL_EXPORT(t) t
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#define __PYX_COMMA ,
#ifndef HAVE_LONG_LONG
#if PY_VERSION_HEX >= 0x02070000
#define HAVE_LONG_LONG
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#endif
#ifndef PY_LONG_LONG
#define PY_LONG_LONG LONG_LONG
#endif
#ifndef Py_HUGE_VAL
#define Py_HUGE_VAL HUGE_VAL
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#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
#undef CYTHON_USE_PYLONG_INTERNALS
#define CYTHON_USE_PYLONG_INTERNALS 0
#undef CYTHON_AVOID_BORROWED_REFS
#define CYTHON_AVOID_BORROWED_REFS 1
#undef CYTHON_ASSUME_SAFE_MACROS
#define CYTHON_ASSUME_SAFE_MACROS 0
#undef CYTHON_UNPACK_METHODS
#define CYTHON_UNPACK_METHODS 0
#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
#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
#ifndef CYTHON_RESTRICT
#if defined(__GNUC__)
#define CYTHON_RESTRICT __restrict__
#elif defined(_MSC_VER) && _MSC_VER >= 1400
#define CYTHON_RESTRICT __restrict
#elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L
#define CYTHON_RESTRICT restrict
#else
#define CYTHON_RESTRICT
#endif
#endif
#ifndef CYTHON_UNUSED
# if defined(__GNUC__)
# if !(defined(__cplusplus)) || (__GNUC__ > 3 || (__GNUC__ == 3 && __GNUC_MINOR__ >= 4))
# define CYTHON_UNUSED __attribute__ ((__unused__))
# else
# define CYTHON_UNUSED
# endif
# elif defined(__ICC) || (defined(__INTEL_COMPILER) && !defined(_MSC_VER))
# define CYTHON_UNUSED __attribute__ ((__unused__))
# else
# define CYTHON_UNUSED
# endif
#endif
#ifndef CYTHON_MAYBE_UNUSED_VAR
# if defined(__cplusplus)
template<class T> void CYTHON_MAYBE_UNUSED_VAR( const T& ) { }
# else
# define CYTHON_MAYBE_UNUSED_VAR(x) (void)(x)
# endif
#endif
#ifndef CYTHON_NCP_UNUSED
# if CYTHON_COMPILING_IN_CPYTHON
# define CYTHON_NCP_UNUSED
# else
# define CYTHON_NCP_UNUSED CYTHON_UNUSED
# endif
#endif
#define __Pyx_void_to_None(void_result) ((void)(void_result), Py_INCREF(Py_None), Py_None)
#ifdef _MSC_VER
#ifndef _MSC_STDINT_H_
#if _MSC_VER < 1300
typedef unsigned char uint8_t;
typedef unsigned int uint32_t;
#else
typedef unsigned __int8 uint8_t;
typedef unsigned __int32 uint32_t;
#endif
#endif
#else
#include <stdint.h>
#endif
#ifndef CYTHON_FALLTHROUGH
#if defined(__cplusplus) && __cplusplus >= 201103L
#if __has_cpp_attribute(fallthrough)
#define CYTHON_FALLTHROUGH [[fallthrough]]
#elif __has_cpp_attribute(clang::fallthrough)
#define CYTHON_FALLTHROUGH [[clang::fallthrough]]
#elif __has_cpp_attribute(gnu::fallthrough)
#define CYTHON_FALLTHROUGH [[gnu::fallthrough]]
#endif
#endif
#ifndef CYTHON_FALLTHROUGH
#if __has_attribute(fallthrough)
#define CYTHON_FALLTHROUGH __attribute__((fallthrough))
#else
#define CYTHON_FALLTHROUGH
#endif
#endif
#if defined(__clang__ ) && defined(__apple_build_version__)
#if __apple_build_version__ < 7000000
#undef CYTHON_FALLTHROUGH
#define CYTHON_FALLTHROUGH
#endif
#endif
#endif
#ifndef CYTHON_INLINE
#if defined(__clang__)
#define CYTHON_INLINE __inline__ __attribute__ ((__unused__))
#elif defined(__GNUC__)
#define CYTHON_INLINE __inline__
#elif defined(_MSC_VER)
#define CYTHON_INLINE __inline
#elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L
#define CYTHON_INLINE inline
#else
#define CYTHON_INLINE
#endif
#endif
#if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX < 0x02070600 && !defined(Py_OptimizeFlag)
#define Py_OptimizeFlag 0
#endif
#define __PYX_BUILD_PY_SSIZE_T "n"
#define CYTHON_FORMAT_SSIZE_T "z"
#if PY_MAJOR_VERSION < 3
#define __Pyx_BUILTIN_MODULE_NAME "__builtin__"
#define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\
PyCode_New(a+k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)
#define __Pyx_DefaultClassType PyClass_Type
#else
#define __Pyx_BUILTIN_MODULE_NAME "builtins"
#if PY_VERSION_HEX >= 0x030800A4 && PY_VERSION_HEX < 0x030800B2
#define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\
PyCode_New(a, 0, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)
#else
#define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\
PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)
#endif
#define __Pyx_DefaultClassType PyType_Type
#endif
#ifndef Py_TPFLAGS_CHECKTYPES
#define Py_TPFLAGS_CHECKTYPES 0
#endif
#ifndef Py_TPFLAGS_HAVE_INDEX
#define Py_TPFLAGS_HAVE_INDEX 0
#endif
#ifndef Py_TPFLAGS_HAVE_NEWBUFFER
#define Py_TPFLAGS_HAVE_NEWBUFFER 0
#endif
#ifndef Py_TPFLAGS_HAVE_FINALIZE
#define Py_TPFLAGS_HAVE_FINALIZE 0
#endif
#ifndef METH_STACKLESS
#define METH_STACKLESS 0
#endif
#if PY_VERSION_HEX <= 0x030700A3 || !defined(METH_FASTCALL)
#ifndef METH_FASTCALL
#define METH_FASTCALL 0x80
#endif
typedef PyObject *(*__Pyx_PyCFunctionFast) (PyObject *self, PyObject *const *args, Py_ssize_t nargs);
typedef PyObject *(*__Pyx_PyCFunctionFastWithKeywords) (PyObject *self, PyObject *const *args,
Py_ssize_t nargs, PyObject *kwnames);
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#define __Pyx_PyCFunctionFast _PyCFunctionFast
#define __Pyx_PyCFunctionFastWithKeywords _PyCFunctionFastWithKeywords
#endif
#if CYTHON_FAST_PYCCALL
#define __Pyx_PyFastCFunction_Check(func)\
((PyCFunction_Check(func) && (METH_FASTCALL == (PyCFunction_GET_FLAGS(func) & ~(METH_CLASS | METH_STATIC | METH_COEXIST | METH_KEYWORDS | METH_STACKLESS)))))
#else
#define __Pyx_PyFastCFunction_Check(func) 0
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#if CYTHON_COMPILING_IN_PYPY && !defined(PyObject_Malloc)
#define PyObject_Malloc(s) PyMem_Malloc(s)
#define PyObject_Free(p) PyMem_Free(p)
#define PyObject_Realloc(p) PyMem_Realloc(p)
#endif
#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX < 0x030400A1
#define PyMem_RawMalloc(n) PyMem_Malloc(n)
#define PyMem_RawRealloc(p, n) PyMem_Realloc(p, n)
#define PyMem_RawFree(p) PyMem_Free(p)
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#if CYTHON_COMPILING_IN_PYSTON
#define __Pyx_PyCode_HasFreeVars(co) PyCode_HasFreeVars(co)
#define __Pyx_PyFrame_SetLineNumber(frame, lineno) PyFrame_SetLineNumber(frame, lineno)
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#define __Pyx_PyCode_HasFreeVars(co) (PyCode_GetNumFree(co) > 0)
#define __Pyx_PyFrame_SetLineNumber(frame, lineno) (frame)->f_lineno = (lineno)
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#define __Pyx_PyThreadState_Current PyThreadState_GET()
#elif PY_VERSION_HEX >= 0x03060000
#define __Pyx_PyThreadState_Current _PyThreadState_UncheckedGet()
#elif PY_VERSION_HEX >= 0x03000000
#define __Pyx_PyThreadState_Current PyThreadState_GET()
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#define __Pyx_PyThreadState_Current _PyThreadState_Current
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#if PY_VERSION_HEX < 0x030700A2 && !defined(PyThread_tss_create) && !defined(Py_tss_NEEDS_INIT)
#include "pythread.h"
#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;
}
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;
return key;
}
static CYTHON_INLINE void PyThread_tss_free(Py_tss_t *key) {
PyObject_Free(key);
}
static CYTHON_INLINE int PyThread_tss_is_created(Py_tss_t *key) {
return *key != Py_tss_NEEDS_INIT;
}
static CYTHON_INLINE void PyThread_tss_delete(Py_tss_t *key) {
PyThread_delete_key(*key);
*key = Py_tss_NEEDS_INIT;
}
static CYTHON_INLINE int PyThread_tss_set(Py_tss_t *key, void *value) {
return PyThread_set_key_value(*key, value);
}
static CYTHON_INLINE void * PyThread_tss_get(Py_tss_t *key) {
return PyThread_get_key_value(*key);
}
#endif
#if CYTHON_COMPILING_IN_CPYTHON || defined(_PyDict_NewPresized)
#define __Pyx_PyDict_NewPresized(n) ((n <= 8) ? PyDict_New() : _PyDict_NewPresized(n))
#else
#define __Pyx_PyDict_NewPresized(n) PyDict_New()
#endif
#if PY_MAJOR_VERSION >= 3 || CYTHON_FUTURE_DIVISION
#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)
#define __Pyx_PyNumber_InPlaceDivide(x,y) PyNumber_InPlaceDivide(x,y)
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#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030500A1 && CYTHON_USE_UNICODE_INTERNALS
#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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#if PY_VERSION_HEX > 0x03030000 && defined(PyUnicode_KIND)
#define CYTHON_PEP393_ENABLED 1
#if defined(PyUnicode_IS_READY)
#define __Pyx_PyUnicode_READY(op) (likely(PyUnicode_IS_READY(op)) ?\
0 : _PyUnicode_Ready((PyObject *)(op)))
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#define __Pyx_PyUnicode_READY(op) (0)
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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)
#if defined(PyUnicode_IS_READY) && defined(PyUnicode_GET_SIZE)
#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x03090000
#define __Pyx_PyUnicode_IS_TRUE(u) (0 != (likely(PyUnicode_IS_READY(u)) ? PyUnicode_GET_LENGTH(u) : ((PyCompactUnicodeObject *)(u))->wstr_length))
#else
#define __Pyx_PyUnicode_IS_TRUE(u) (0 != (likely(PyUnicode_IS_READY(u)) ? PyUnicode_GET_LENGTH(u) : PyUnicode_GET_SIZE(u)))
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#else
#define __Pyx_PyUnicode_IS_TRUE(u) (0 != PyUnicode_GET_LENGTH(u))
#endif
#else
#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))
#endif
#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)) ?\
PyNumber_Add(a, b) : __Pyx_PyUnicode_Concat(a, b))
#endif
#if CYTHON_COMPILING_IN_PYPY && !defined(PyUnicode_Contains)
#define PyUnicode_Contains(u, s) PySequence_Contains(u, s)
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#if CYTHON_COMPILING_IN_PYPY && !defined(PyByteArray_Check)
#define PyByteArray_Check(obj) PyObject_TypeCheck(obj, &PyByteArray_Type)
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#if CYTHON_COMPILING_IN_PYPY && !defined(PyObject_Format)
#define PyObject_Format(obj, fmt) PyObject_CallMethod(obj, "__format__", "O", fmt)
#endif
#define __Pyx_PyString_FormatSafe(a, b) ((unlikely((a) == Py_None || (PyString_Check(b) && !PyString_CheckExact(b)))) ? PyNumber_Remainder(a, b) : __Pyx_PyString_Format(a, b))
#define __Pyx_PyUnicode_FormatSafe(a, b) ((unlikely((a) == Py_None || (PyUnicode_Check(b) && !PyUnicode_CheckExact(b)))) ? PyNumber_Remainder(a, b) : PyUnicode_Format(a, b))
#if PY_MAJOR_VERSION >= 3
#define __Pyx_PyString_Format(a, b) PyUnicode_Format(a, b)
#else
#define __Pyx_PyString_Format(a, b) PyString_Format(a, b)
#endif
#if PY_MAJOR_VERSION < 3 && !defined(PyObject_ASCII)
#define PyObject_ASCII(o) PyObject_Repr(o)
#endif
#if PY_MAJOR_VERSION >= 3
#define PyBaseString_Type PyUnicode_Type
#define PyStringObject PyUnicodeObject
#define PyString_Type PyUnicode_Type
#define PyString_Check PyUnicode_Check
#define PyString_CheckExact PyUnicode_CheckExact
#ifndef PyObject_Unicode
#define PyObject_Unicode PyObject_Str
#endif
#endif
#if PY_MAJOR_VERSION >= 3
#define __Pyx_PyBaseString_Check(obj) PyUnicode_Check(obj)
#define __Pyx_PyBaseString_CheckExact(obj) PyUnicode_CheckExact(obj)
#else
#define __Pyx_PyBaseString_Check(obj) (PyString_Check(obj) || PyUnicode_Check(obj))
#define __Pyx_PyBaseString_CheckExact(obj) (PyString_CheckExact(obj) || PyUnicode_CheckExact(obj))
#endif
#ifndef PySet_CheckExact
#define PySet_CheckExact(obj) (Py_TYPE(obj) == &PySet_Type)
#endif
#if PY_VERSION_HEX >= 0x030900A4
#define __Pyx_SET_REFCNT(obj, refcnt) Py_SET_REFCNT(obj, refcnt)
#define __Pyx_SET_SIZE(obj, size) Py_SET_SIZE(obj, size)
#else
#define __Pyx_SET_REFCNT(obj, refcnt) Py_REFCNT(obj) = (refcnt)
#define __Pyx_SET_SIZE(obj, size) Py_SIZE(obj) = (size)
#endif
#if CYTHON_ASSUME_SAFE_MACROS
#define __Pyx_PySequence_SIZE(seq) Py_SIZE(seq)
#else
#define __Pyx_PySequence_SIZE(seq) PySequence_Size(seq)
#endif
#if PY_MAJOR_VERSION >= 3
#define PyIntObject PyLongObject
#define PyInt_Type PyLong_Type
#define PyInt_Check(op) PyLong_Check(op)
#define PyInt_CheckExact(op) PyLong_CheckExact(op)
#define PyInt_FromString PyLong_FromString
#define PyInt_FromUnicode PyLong_FromUnicode
#define PyInt_FromLong PyLong_FromLong
#define PyInt_FromSize_t PyLong_FromSize_t
#define PyInt_FromSsize_t PyLong_FromSsize_t
#define PyInt_AsLong PyLong_AsLong
#define PyInt_AS_LONG PyLong_AS_LONG
#define PyInt_AsSsize_t PyLong_AsSsize_t
#define PyInt_AsUnsignedLongMask PyLong_AsUnsignedLongMask
#define PyInt_AsUnsignedLongLongMask PyLong_AsUnsignedLongLongMask
#define PyNumber_Int PyNumber_Long
#endif
#if PY_MAJOR_VERSION >= 3
#define PyBoolObject PyLongObject
#endif
#if PY_MAJOR_VERSION >= 3 && CYTHON_COMPILING_IN_PYPY
#ifndef PyUnicode_InternFromString
#define PyUnicode_InternFromString(s) PyUnicode_FromString(s)
#endif
#endif
#if PY_VERSION_HEX < 0x030200A4
typedef long Py_hash_t;
#define __Pyx_PyInt_FromHash_t PyInt_FromLong
#define __Pyx_PyInt_AsHash_t PyInt_AsLong
#else
#define __Pyx_PyInt_FromHash_t PyInt_FromSsize_t
#define __Pyx_PyInt_AsHash_t PyInt_AsSsize_t
#endif
#if PY_MAJOR_VERSION >= 3
#define __Pyx_PyMethod_New(func, self, klass) ((self) ? ((void)(klass), PyMethod_New(func, self)) : __Pyx_NewRef(func))
#else
#define __Pyx_PyMethod_New(func, self, klass) PyMethod_New(func, self, klass)
#endif
#if CYTHON_USE_ASYNC_SLOTS
#if PY_VERSION_HEX >= 0x030500B1
#define __Pyx_PyAsyncMethodsStruct PyAsyncMethods
#define __Pyx_PyType_AsAsync(obj) (Py_TYPE(obj)->tp_as_async)
#else
#define __Pyx_PyType_AsAsync(obj) ((__Pyx_PyAsyncMethodsStruct*) (Py_TYPE(obj)->tp_reserved))
#endif
#else
#define __Pyx_PyType_AsAsync(obj) NULL
#endif
#ifndef __Pyx_PyAsyncMethodsStruct
typedef struct {
unaryfunc am_await;
unaryfunc am_aiter;
unaryfunc am_anext;
} __Pyx_PyAsyncMethodsStruct;
#endif
#if defined(WIN32) || defined(MS_WINDOWS)
#define _USE_MATH_DEFINES
#endif
#include <math.h>
#ifdef NAN
#define __PYX_NAN() ((float) NAN)
#else
static CYTHON_INLINE float __PYX_NAN() {
float value;
memset(&value, 0xFF, sizeof(value));
return value;
}
#endif
#if defined(__CYGWIN__) && defined(_LDBL_EQ_DBL)
#define __Pyx_truncl trunc
#else
#define __Pyx_truncl truncl
#endif
#define __PYX_MARK_ERR_POS(f_index, lineno) \
{ __pyx_filename = __pyx_f[f_index]; (void)__pyx_filename; __pyx_lineno = lineno; (void)__pyx_lineno; __pyx_clineno = __LINE__; (void)__pyx_clineno; }
#define __PYX_ERR(f_index, lineno, Ln_error) \
{ __PYX_MARK_ERR_POS(f_index, lineno) goto Ln_error; }
#ifndef __PYX_EXTERN_C
#ifdef __cplusplus
#define __PYX_EXTERN_C extern "C"
#else
#define __PYX_EXTERN_C extern
#endif
#endif
#define __PYX_HAVE__calculate
#define __PYX_HAVE_API__calculate
/* Early includes */
#include <string.h>
#include <stdio.h>
#include "numpy/arrayobject.h"
#include "numpy/ndarrayobject.h"
#include "numpy/ndarraytypes.h"
#include "numpy/arrayscalars.h"
#include "numpy/ufuncobject.h"
/* NumPy API declarations from "numpy/__init__.pxd" */
#include "pythread.h"
#include <stdlib.h>
#include "pystate.h"
#ifdef _OPENMP
#include <omp.h>
#endif /* _OPENMP */
#if defined(PYREX_WITHOUT_ASSERTIONS) && !defined(CYTHON_WITHOUT_ASSERTIONS)
#define CYTHON_WITHOUT_ASSERTIONS
#endif
typedef struct {PyObject **p; const char *s; const Py_ssize_t n; const char* encoding;
const char is_unicode; const char is_str; const char intern; } __Pyx_StringTabEntry;
#define __PYX_DEFAULT_STRING_ENCODING_IS_ASCII 0
#define __PYX_DEFAULT_STRING_ENCODING_IS_UTF8 0
#define __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT (PY_MAJOR_VERSION >= 3 && __PYX_DEFAULT_STRING_ENCODING_IS_UTF8)
#define __PYX_DEFAULT_STRING_ENCODING ""
#define __Pyx_PyObject_FromString __Pyx_PyBytes_FromString
#define __Pyx_PyObject_FromStringAndSize __Pyx_PyBytes_FromStringAndSize
#define __Pyx_uchar_cast(c) ((unsigned char)c)
#define __Pyx_long_cast(x) ((long)x)
#define __Pyx_fits_Py_ssize_t(v, type, is_signed) (\
(sizeof(type) < sizeof(Py_ssize_t)) ||\
(sizeof(type) > sizeof(Py_ssize_t) &&\
likely(v < (type)PY_SSIZE_T_MAX ||\
v == (type)PY_SSIZE_T_MAX) &&\
(!is_signed || likely(v > (type)PY_SSIZE_T_MIN ||\
v == (type)PY_SSIZE_T_MIN))) ||\
(sizeof(type) == sizeof(Py_ssize_t) &&\
(is_signed || likely(v < (type)PY_SSIZE_T_MAX ||\
v == (type)PY_SSIZE_T_MAX))) )
static CYTHON_INLINE int __Pyx_is_valid_index(Py_ssize_t i, Py_ssize_t limit) {
return (size_t) i < (size_t) limit;
}
#if defined (__cplusplus) && __cplusplus >= 201103L
#include <cstdlib>
#define __Pyx_sst_abs(value) std::abs(value)
#elif SIZEOF_INT >= SIZEOF_SIZE_T
#define __Pyx_sst_abs(value) abs(value)
#elif SIZEOF_LONG >= SIZEOF_SIZE_T
#define __Pyx_sst_abs(value) labs(value)
#elif defined (_MSC_VER)
#define __Pyx_sst_abs(value) ((Py_ssize_t)_abs64(value))
#elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L
#define __Pyx_sst_abs(value) llabs(value)
#elif defined (__GNUC__)
#define __Pyx_sst_abs(value) __builtin_llabs(value)
#else
#define __Pyx_sst_abs(value) ((value<0) ? -value : value)
#endif
static CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject*);
static CYTHON_INLINE const char* __Pyx_PyObject_AsStringAndSize(PyObject*, Py_ssize_t* length);
#define __Pyx_PyByteArray_FromString(s) PyByteArray_FromStringAndSize((const char*)s, strlen((const char*)s))
#define __Pyx_PyByteArray_FromStringAndSize(s, l) PyByteArray_FromStringAndSize((const char*)s, l)
#define __Pyx_PyBytes_FromString PyBytes_FromString
#define __Pyx_PyBytes_FromStringAndSize PyBytes_FromStringAndSize
static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char*);
#if PY_MAJOR_VERSION < 3
#define __Pyx_PyStr_FromString __Pyx_PyBytes_FromString
#define __Pyx_PyStr_FromStringAndSize __Pyx_PyBytes_FromStringAndSize
#else
#define __Pyx_PyStr_FromString __Pyx_PyUnicode_FromString
#define __Pyx_PyStr_FromStringAndSize __Pyx_PyUnicode_FromStringAndSize
#endif
#define __Pyx_PyBytes_AsWritableString(s) ((char*) PyBytes_AS_STRING(s))
#define __Pyx_PyBytes_AsWritableSString(s) ((signed char*) PyBytes_AS_STRING(s))
#define __Pyx_PyBytes_AsWritableUString(s) ((unsigned char*) PyBytes_AS_STRING(s))
#define __Pyx_PyBytes_AsString(s) ((const char*) PyBytes_AS_STRING(s))
#define __Pyx_PyBytes_AsSString(s) ((const signed char*) PyBytes_AS_STRING(s))
#define __Pyx_PyBytes_AsUString(s) ((const unsigned char*) PyBytes_AS_STRING(s))
#define __Pyx_PyObject_AsWritableString(s) ((char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_AsWritableSString(s) ((signed char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_AsWritableUString(s) ((unsigned char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_AsSString(s) ((const signed char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_AsUString(s) ((const unsigned char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_FromCString(s) __Pyx_PyObject_FromString((const char*)s)
#define __Pyx_PyBytes_FromCString(s) __Pyx_PyBytes_FromString((const char*)s)
#define __Pyx_PyByteArray_FromCString(s) __Pyx_PyByteArray_FromString((const char*)s)
#define __Pyx_PyStr_FromCString(s) __Pyx_PyStr_FromString((const char*)s)
#define __Pyx_PyUnicode_FromCString(s) __Pyx_PyUnicode_FromString((const char*)s)
static CYTHON_INLINE size_t __Pyx_Py_UNICODE_strlen(const Py_UNICODE *u) {
const Py_UNICODE *u_end = u;
while (*u_end++) ;
return (size_t)(u_end - u - 1);
}
#define __Pyx_PyUnicode_FromUnicode(u) PyUnicode_FromUnicode(u, __Pyx_Py_UNICODE_strlen(u))
#define __Pyx_PyUnicode_FromUnicodeAndLength PyUnicode_FromUnicode
#define __Pyx_PyUnicode_AsUnicode PyUnicode_AsUnicode
#define __Pyx_NewRef(obj) (Py_INCREF(obj), obj)
#define __Pyx_Owned_Py_None(b) __Pyx_NewRef(Py_None)
static CYTHON_INLINE PyObject * __Pyx_PyBool_FromLong(long b);
static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject*);
static CYTHON_INLINE int __Pyx_PyObject_IsTrueAndDecref(PyObject*);
static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x);
#define __Pyx_PySequence_Tuple(obj)\
(likely(PyTuple_CheckExact(obj)) ? __Pyx_NewRef(obj) : PySequence_Tuple(obj))
static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject*);
static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t);
#if CYTHON_ASSUME_SAFE_MACROS
#define __pyx_PyFloat_AsDouble(x) (PyFloat_CheckExact(x) ? PyFloat_AS_DOUBLE(x) : PyFloat_AsDouble(x))
#else
#define __pyx_PyFloat_AsDouble(x) PyFloat_AsDouble(x)
#endif
#define __pyx_PyFloat_AsFloat(x) ((float) __pyx_PyFloat_AsDouble(x))
#if PY_MAJOR_VERSION >= 3
#define __Pyx_PyNumber_Int(x) (PyLong_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Long(x))
#else
#define __Pyx_PyNumber_Int(x) (PyInt_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Int(x))
#endif
#define __Pyx_PyNumber_Float(x) (PyFloat_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Float(x))
#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
static int __Pyx_sys_getdefaultencoding_not_ascii;
static int __Pyx_init_sys_getdefaultencoding_params(void) {
PyObject* sys;
PyObject* default_encoding = NULL;
PyObject* ascii_chars_u = NULL;
PyObject* ascii_chars_b = NULL;
const char* default_encoding_c;
sys = PyImport_ImportModule("sys");
if (!sys) goto bad;
default_encoding = PyObject_CallMethod(sys, (char*) "getdefaultencoding", NULL);
Py_DECREF(sys);
if (!default_encoding) goto bad;
default_encoding_c = PyBytes_AsString(default_encoding);
if (!default_encoding_c) goto bad;
if (strcmp(default_encoding_c, "ascii") == 0) {
__Pyx_sys_getdefaultencoding_not_ascii = 0;
} else {
char ascii_chars[128];
int c;
for (c = 0; c < 128; c++) {
ascii_chars[c] = c;
}
__Pyx_sys_getdefaultencoding_not_ascii = 1;
ascii_chars_u = PyUnicode_DecodeASCII(ascii_chars, 128, NULL);
if (!ascii_chars_u) goto bad;
ascii_chars_b = PyUnicode_AsEncodedString(ascii_chars_u, default_encoding_c, NULL);
if (!ascii_chars_b || !PyBytes_Check(ascii_chars_b) || memcmp(ascii_chars, PyBytes_AS_STRING(ascii_chars_b), 128) != 0) {
PyErr_Format(
PyExc_ValueError,
"This module compiled with c_string_encoding=ascii, but default encoding '%.200s' is not a superset of ascii.",
default_encoding_c);
goto bad;
}
Py_DECREF(ascii_chars_u);
Py_DECREF(ascii_chars_b);
}
Py_DECREF(default_encoding);
return 0;
bad:
Py_XDECREF(default_encoding);
Py_XDECREF(ascii_chars_u);
Py_XDECREF(ascii_chars_b);
return -1;
}
#endif
#if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT && PY_MAJOR_VERSION >= 3
#define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_DecodeUTF8(c_str, size, NULL)
#else
#define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_Decode(c_str, size, __PYX_DEFAULT_STRING_ENCODING, NULL)
#if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT
static char* __PYX_DEFAULT_STRING_ENCODING;
static int __Pyx_init_sys_getdefaultencoding_params(void) {
PyObject* sys;
PyObject* default_encoding = NULL;
char* default_encoding_c;
sys = PyImport_ImportModule("sys");
if (!sys) goto bad;
default_encoding = PyObject_CallMethod(sys, (char*) (const char*) "getdefaultencoding", NULL);
Py_DECREF(sys);
if (!default_encoding) goto bad;
default_encoding_c = PyBytes_AsString(default_encoding);
if (!default_encoding_c) goto bad;
__PYX_DEFAULT_STRING_ENCODING = (char*) malloc(strlen(default_encoding_c) + 1);
if (!__PYX_DEFAULT_STRING_ENCODING) goto bad;
strcpy(__PYX_DEFAULT_STRING_ENCODING, default_encoding_c);
Py_DECREF(default_encoding);
return 0;
bad:
Py_XDECREF(default_encoding);
return -1;
}
#endif
#endif
/* Test for GCC > 2.95 */
#if defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95)))
#define likely(x) __builtin_expect(!!(x), 1)
#define unlikely(x) __builtin_expect(!!(x), 0)
#else /* !__GNUC__ or GCC < 2.95 */
#define likely(x) (x)
#define unlikely(x) (x)
#endif /* __GNUC__ */
static CYTHON_INLINE void __Pyx_pretend_to_initialize(void* ptr) { (void)ptr; }
static PyObject *__pyx_m = NULL;
static PyObject *__pyx_d;
static PyObject *__pyx_b;
static PyObject *__pyx_cython_runtime = NULL;
static PyObject *__pyx_empty_tuple;
static PyObject *__pyx_empty_bytes;
static PyObject *__pyx_empty_unicode;
static int __pyx_lineno;
static int __pyx_clineno = 0;
static const char * __pyx_cfilenm= __FILE__;
static const char *__pyx_filename;
/* Header.proto */
#if !defined(CYTHON_CCOMPLEX)
#if defined(__cplusplus)
#define CYTHON_CCOMPLEX 1
#elif defined(_Complex_I)
#define CYTHON_CCOMPLEX 1
#else
#define CYTHON_CCOMPLEX 0
#endif
#endif
#if CYTHON_CCOMPLEX
#ifdef __cplusplus
#include <complex>
#else
#include <complex.h>
#endif
#endif
#if CYTHON_CCOMPLEX && !defined(__cplusplus) && defined(__sun__) && defined(__GNUC__)
#undef _Complex_I
#define _Complex_I 1.0fj
#endif
static const char *__pyx_f[] = {
"cython_np.pyx",
"__init__.pxd",
"stringsource",
"type.pxd",
};
/* 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()
/* ForceInitThreads.proto */
#ifndef __PYX_FORCE_INIT_THREADS
#define __PYX_FORCE_INIT_THREADS 0
#endif
/* 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
/* 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;
/* "../../../../venv/lib/python3.8/site-packages/numpy/__init__.pxd":690
* # in Cython to enable them only on the right systems.
*
* ctypedef npy_int8 int8_t # <<<<<<<<<<<<<<
* ctypedef npy_int16 int16_t
* ctypedef npy_int32 int32_t
*/
typedef npy_int8 __pyx_t_5numpy_int8_t;
/* "../../../../venv/lib/python3.8/site-packages/numpy/__init__.pxd":691
*
* ctypedef npy_int8 int8_t
* ctypedef npy_int16 int16_t # <<<<<<<<<<<<<<
* ctypedef npy_int32 int32_t
* ctypedef npy_int64 int64_t
*/
typedef npy_int16 __pyx_t_5numpy_int16_t;
/* "../../../../venv/lib/python3.8/site-packages/numpy/__init__.pxd":692
* ctypedef npy_int8 int8_t
* ctypedef npy_int16 int16_t
* ctypedef npy_int32 int32_t # <<<<<<<<<<<<<<
* ctypedef npy_int64 int64_t
* #ctypedef npy_int96 int96_t
*/
typedef npy_int32 __pyx_t_5numpy_int32_t;
/* "../../../../venv/lib/python3.8/site-packages/numpy/__init__.pxd":693
* ctypedef npy_int16 int16_t
* ctypedef npy_int32 int32_t
* ctypedef npy_int64 int64_t # <<<<<<<<<<<<<<
* #ctypedef npy_int96 int96_t
* #ctypedef npy_int128 int128_t
*/
typedef npy_int64 __pyx_t_5numpy_int64_t;
/* "../../../../venv/lib/python3.8/site-packages/numpy/__init__.pxd":697
* #ctypedef npy_int128 int128_t
*
* ctypedef npy_uint8 uint8_t # <<<<<<<<<<<<<<
* ctypedef npy_uint16 uint16_t
* ctypedef npy_uint32 uint32_t
*/
typedef npy_uint8 __pyx_t_5numpy_uint8_t;
/* "../../../../venv/lib/python3.8/site-packages/numpy/__init__.pxd":698
*
* ctypedef npy_uint8 uint8_t
* ctypedef npy_uint16 uint16_t # <<<<<<<<<<<<<<
* ctypedef npy_uint32 uint32_t
* ctypedef npy_uint64 uint64_t
*/
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/* 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
/* 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
/* RaiseException.proto */
static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause);
/* 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);
/* 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
/* None.proto */
static CYTHON_INLINE Py_ssize_t __Pyx_div_Py_ssize_t(Py_ssize_t, Py_ssize_t);
/* 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));
/* GetAttr3.proto */
static CYTHON_INLINE PyObject *__Pyx_GetAttr3(PyObject *, PyObject *, PyObject *);
/* 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);
/* 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);
__Pyx_SET_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);
__Pyx_SET_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);
/* None.proto */
static CYTHON_INLINE long __Pyx_div_long(long, long);
/* 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);
/* TypeImport.proto */
#ifndef __PYX_HAVE_RT_ImportType_proto
#define __PYX_HAVE_RT_ImportType_proto
enum __Pyx_ImportType_CheckSize {
__Pyx_ImportType_CheckSize_Error = 0,
__Pyx_ImportType_CheckSize_Warn = 1,
__Pyx_ImportType_CheckSize_Ignore = 2
};
static PyTypeObject *__Pyx_ImportType(PyObject* module, const char *module_name, const char *class_name, size_t size, enum __Pyx_ImportType_CheckSize check_size);
#endif
/* 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);
/* RealImag.proto */
#if CYTHON_CCOMPLEX
#ifdef __cplusplus
#define __Pyx_CREAL(z) ((z).real())
#define __Pyx_CIMAG(z) ((z).imag())
#else
#define __Pyx_CREAL(z) (__real__(z))
#define __Pyx_CIMAG(z) (__imag__(z))
#endif
#else
#define __Pyx_CREAL(z) ((z).real)
#define __Pyx_CIMAG(z) ((z).imag)
#endif
#if defined(__cplusplus) && CYTHON_CCOMPLEX\
&& (defined(_WIN32) || defined(__clang__) || (defined(__GNUC__) && (__GNUC__ >= 5 || __GNUC__ == 4 && __GNUC_MINOR__ >= 4 )) || __cplusplus >= 201103)
#define __Pyx_SET_CREAL(z,x) ((z).real(x))
#define __Pyx_SET_CIMAG(z,y) ((z).imag(y))
#else
#define __Pyx_SET_CREAL(z,x) __Pyx_CREAL(z) = (x)
#define __Pyx_SET_CIMAG(z,y) __Pyx_CIMAG(z) = (y)
#endif
/* Arithmetic.proto */
#if CYTHON_CCOMPLEX
#define __Pyx_c_eq_double(a, b) ((a)==(b))
#define __Pyx_c_sum_double(a, b) ((a)+(b))
#define __Pyx_c_diff_double(a, b) ((a)-(b))
#define __Pyx_c_prod_double(a, b) ((a)*(b))
#define __Pyx_c_quot_double(a, b) ((a)/(b))
#define __Pyx_c_neg_double(a) (-(a))
#ifdef __cplusplus
#define __Pyx_c_is_zero_double(z) ((z)==(double)0)
#define __Pyx_c_conj_double(z) (::std::conj(z))
#if 1
#define __Pyx_c_abs_double(z) (::std::abs(z))
#define __Pyx_c_pow_double(a, b) (::std::pow(a, b))
#endif
#else
#define __Pyx_c_is_zero_double(z) ((z)==0)
#define __Pyx_c_conj_double(z) (conj(z))
#if 1
#define __Pyx_c_abs_double(z) (cabs(z))
#define __Pyx_c_pow_double(a, b) (cpow(a, b))
#endif
#endif
#else
static CYTHON_INLINE int __Pyx_c_eq_double(__pyx_t_double_complex, __pyx_t_double_complex);
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum_double(__pyx_t_double_complex, __pyx_t_double_complex);
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff_double(__pyx_t_double_complex, __pyx_t_double_complex);
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod_double(__pyx_t_double_complex, __pyx_t_double_complex);
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot_double(__pyx_t_double_complex, __pyx_t_double_complex);
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg_double(__pyx_t_double_complex);
static CYTHON_INLINE int __Pyx_c_is_zero_double(__pyx_t_double_complex);
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj_double(__pyx_t_double_complex);
#if 1
static CYTHON_INLINE double __Pyx_c_abs_double(__pyx_t_double_complex);
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow_double(__pyx_t_double_complex, __pyx_t_double_complex);
#endif
#endif
#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);
/* GCCDiagnostics.proto */
#if defined(__GNUC__) && (__GNUC__ > 4 || (__GNUC__ == 4 && __GNUC_MINOR__ >= 6))
#define __Pyx_HAS_GCC_DIAGNOSTIC
#endif
/* 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_ds___pyx_t_double_complex(PyObject *, int writable_flag);
/* ToPy.proto */
#define __pyx_PyComplex_FromComplex(z)\
PyComplex_FromDoubles((double)__Pyx_CREAL(z),\
(double)__Pyx_CIMAG(z))
/* FromPy.proto */
static __pyx_t_double_complex __Pyx_PyComplex_As___pyx_t_double_complex(PyObject*);
/* MemviewDtypeToObject.proto */
static CYTHON_INLINE PyObject *__pyx_memview_get___pyx_t_double_complex(const char *itemp);
static CYTHON_INLINE int __pyx_memview_set___pyx_t_double_complex(const char *itemp, PyObject *obj);
/* ObjectToMemviewSlice.proto */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_ds_int(PyObject *, int writable_flag);
/* MemviewDtypeToObject.proto */
static CYTHON_INLINE PyObject *__pyx_memview_get_int(const char *itemp);
static CYTHON_INLINE int __pyx_memview_set_int(const char *itemp, PyObject *obj);
/* Arithmetic.proto */
#if CYTHON_CCOMPLEX
#define __Pyx_c_eq_float(a, b) ((a)==(b))
#define __Pyx_c_sum_float(a, b) ((a)+(b))
#define __Pyx_c_diff_float(a, b) ((a)-(b))
#define __Pyx_c_prod_float(a, b) ((a)*(b))
#define __Pyx_c_quot_float(a, b) ((a)/(b))
#define __Pyx_c_neg_float(a) (-(a))
#ifdef __cplusplus
#define __Pyx_c_is_zero_float(z) ((z)==(float)0)
#define __Pyx_c_conj_float(z) (::std::conj(z))
#if 1
#define __Pyx_c_abs_float(z) (::std::abs(z))
#define __Pyx_c_pow_float(a, b) (::std::pow(a, b))
#endif
#else
#define __Pyx_c_is_zero_float(z) ((z)==0)
#define __Pyx_c_conj_float(z) (conjf(z))
#if 1
#define __Pyx_c_abs_float(z) (cabsf(z))
#define __Pyx_c_pow_float(a, b) (cpowf(a, b))
#endif
#endif
#else
static CYTHON_INLINE int __Pyx_c_eq_float(__pyx_t_float_complex, __pyx_t_float_complex);
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_sum_float(__pyx_t_float_complex, __pyx_t_float_complex);
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_diff_float(__pyx_t_float_complex, __pyx_t_float_complex);
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_prod_float(__pyx_t_float_complex, __pyx_t_float_complex);
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quot_float(__pyx_t_float_complex, __pyx_t_float_complex);
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_neg_float(__pyx_t_float_complex);
static CYTHON_INLINE int __Pyx_c_is_zero_float(__pyx_t_float_complex);
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conj_float(__pyx_t_float_complex);
#if 1
static CYTHON_INLINE float __Pyx_c_abs_float(__pyx_t_float_complex);
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_pow_float(__pyx_t_float_complex, __pyx_t_float_complex);
#endif
#endif
/* 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 *);
/* CIntToPy.proto */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value);
/* 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 'cpython.buffer' */
/* Module declarations from 'libc.string' */
/* Module declarations from 'libc.stdio' */
/* Module declarations from '__builtin__' */
/* Module declarations from 'cpython.type' */
static PyTypeObject *__pyx_ptype_7cpython_4type_type = 0;
/* Module declarations from 'cpython' */
/* Module declarations from 'cpython.object' */
/* Module declarations from 'cpython.ref' */
/* Module declarations from 'cpython.mem' */
/* Module declarations from 'numpy' */
/* Module declarations from 'numpy' */
static PyTypeObject *__pyx_ptype_5numpy_dtype = 0;
static PyTypeObject *__pyx_ptype_5numpy_flatiter = 0;
static PyTypeObject *__pyx_ptype_5numpy_broadcast = 0;
static PyTypeObject *__pyx_ptype_5numpy_ndarray = 0;
static PyTypeObject *__pyx_ptype_5numpy_generic = 0;
static PyTypeObject *__pyx_ptype_5numpy_number = 0;
static PyTypeObject *__pyx_ptype_5numpy_integer = 0;
static PyTypeObject *__pyx_ptype_5numpy_signedinteger = 0;
static PyTypeObject *__pyx_ptype_5numpy_unsignedinteger = 0;
static PyTypeObject *__pyx_ptype_5numpy_inexact = 0;
static PyTypeObject *__pyx_ptype_5numpy_floating = 0;
static PyTypeObject *__pyx_ptype_5numpy_complexfloating = 0;
static PyTypeObject *__pyx_ptype_5numpy_flexible = 0;
static PyTypeObject *__pyx_ptype_5numpy_character = 0;
static PyTypeObject *__pyx_ptype_5numpy_ufunc = 0;
/* Module declarations from 'calculate' */
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 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___pyx_t_double_complex = { "double complex", NULL, sizeof(__pyx_t_double_complex), { 0 }, 0, 'C', 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 "calculate"
extern int __pyx_module_is_main_calculate;
int __pyx_module_is_main_calculate = 0;
/* Implementation of 'calculate' */
static PyObject *__pyx_builtin_ImportError;
static PyObject *__pyx_builtin_ValueError;
static PyObject *__pyx_builtin_MemoryError;
static PyObject *__pyx_builtin_enumerate;
static PyObject *__pyx_builtin_range;
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_z[] = "z";
static const char __pyx_k_cs[] = "cs";
static const char __pyx_k_id[] = "id";
static const char __pyx_k_np[] = "np";
static const char __pyx_k_zs[] = "zs";
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_dtype[] = "dtype";
static const char __pyx_k_empty[] = "empty";
static const char __pyx_k_error[] = "error";
static const char __pyx_k_flags[] = "flags";
static const char __pyx_k_int32[] = "int32";
static const char __pyx_k_numpy[] = "numpy";
static const char __pyx_k_range[] = "range";
static const char __pyx_k_shape[] = "shape";
static const char __pyx_k_start[] = "start";
static const char __pyx_k_encode[] = "encode";
static const char __pyx_k_format[] = "format";
static const char __pyx_k_import[] = "__import__";
static const char __pyx_k_length[] = "length";
static const char __pyx_k_name_2[] = "__name__";
static const char __pyx_k_output[] = "output";
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_maxiter[] = "maxiter";
static const char __pyx_k_memview[] = "memview";
static const char __pyx_k_Ellipsis[] = "Ellipsis";
static const char __pyx_k_getstate[] = "__getstate__";
static const char __pyx_k_itemsize[] = "itemsize";
static const char __pyx_k_pyx_type[] = "__pyx_type";
static const char __pyx_k_setstate[] = "__setstate__";
static const char __pyx_k_TypeError[] = "TypeError";
static const char __pyx_k_calculate[] = "calculate";
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_IndexError[] = "IndexError";
static const char __pyx_k_ValueError[] = "ValueError";
static const char __pyx_k_pyx_result[] = "__pyx_result";
static const char __pyx_k_pyx_vtable[] = "__pyx_vtable__";
static const char __pyx_k_ImportError[] = "ImportError";
static const char __pyx_k_MemoryError[] = "MemoryError";
static const char __pyx_k_PickleError[] = "PickleError";
static const char __pyx_k_calculate_z[] = "calculate_z";
static const char __pyx_k_pyx_checksum[] = "__pyx_checksum";
static const char __pyx_k_stringsource[] = "stringsource";
static const char __pyx_k_cython_np_pyx[] = "cython_np.pyx";
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_setstate_cython[] = "__setstate_cython__";
static const char __pyx_k_pyx_unpickle_Enum[] = "__pyx_unpickle_Enum";
static const char __pyx_k_cline_in_traceback[] = "cline_in_traceback";
static const char __pyx_k_strided_and_direct[] = "<strided and direct>";
static const char __pyx_k_strided_and_indirect[] = "<strided and indirect>";
static const char __pyx_k_contiguous_and_direct[] = "<contiguous and direct>";
static const char __pyx_k_MemoryView_of_r_object[] = "<MemoryView of %r object>";
static const char __pyx_k_MemoryView_of_r_at_0x_x[] = "<MemoryView of %r at 0x%x>";
static const char __pyx_k_contiguous_and_indirect[] = "<contiguous and indirect>";
static const char __pyx_k_Cannot_index_with_type_s[] = "Cannot index with type '%s'";
static const char __pyx_k_Invalid_shape_in_axis_d_d[] = "Invalid shape in axis %d: %d.";
static const char __pyx_k_itemsize_0_for_cython_array[] = "itemsize <= 0 for cython.array";
static const char __pyx_k_unable_to_allocate_array_data[] = "unable to allocate array data.";
static const char __pyx_k_strided_and_direct_or_indirect[] = "<strided and direct or indirect>";
static const char __pyx_k_numpy_core_multiarray_failed_to[] = "numpy.core.multiarray failed to import";
static const char __pyx_k_Buffer_view_does_not_expose_stri[] = "Buffer view does not expose strides";
static const char __pyx_k_Can_only_create_a_buffer_that_is[] = "Can only create a buffer that is contiguous in memory.";
static const char __pyx_k_Cannot_assign_to_read_only_memor[] = "Cannot assign to read-only memoryview";
static const char __pyx_k_Cannot_create_writable_memory_vi[] = "Cannot create writable memory view from read-only memoryview";
static const char __pyx_k_Empty_shape_tuple_for_cython_arr[] = "Empty shape tuple for cython.array";
static const char __pyx_k_Incompatible_checksums_s_vs_0xb0[] = "Incompatible checksums (%s vs 0xb068931 = (name))";
static const char __pyx_k_Indirect_dimensions_not_supporte[] = "Indirect dimensions not supported";
static const char __pyx_k_Invalid_mode_expected_c_or_fortr[] = "Invalid mode, expected 'c' or 'fortran', got %s";
static const char __pyx_k_Out_of_bounds_on_buffer_access_a[] = "Out of bounds on buffer access (axis %d)";
static const char __pyx_k_Unable_to_convert_item_to_object[] = "Unable to convert item to object";
static const char __pyx_k_got_differing_extents_in_dimensi[] = "got differing extents in dimension %d (got %d and %d)";
static const char __pyx_k_no_default___reduce___due_to_non[] = "no default __reduce__ due to non-trivial __cinit__";
static const char __pyx_k_numpy_core_umath_failed_to_impor[] = "numpy.core.umath failed to import";
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_n_s_ImportError;
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_calculate;
static PyObject *__pyx_n_s_calculate_z;
static PyObject *__pyx_n_s_class;
static PyObject *__pyx_n_s_cline_in_traceback;
static PyObject *__pyx_kp_s_contiguous_and_direct;
static PyObject *__pyx_kp_s_contiguous_and_indirect;
static PyObject *__pyx_n_s_cs;
static PyObject *__pyx_kp_s_cython_np_pyx;
static PyObject *__pyx_n_s_dict;
static PyObject *__pyx_n_s_dtype;
static PyObject *__pyx_n_s_dtype_is_object;
static PyObject *__pyx_n_s_empty;
static PyObject *__pyx_n_s_encode;
static PyObject *__pyx_n_s_enumerate;
static PyObject *__pyx_n_s_error;
static PyObject *__pyx_n_s_flags;
static PyObject *__pyx_n_s_format;
static PyObject *__pyx_n_s_fortran;
static PyObject *__pyx_n_u_fortran;
static PyObject *__pyx_n_s_getstate;
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_int32;
static PyObject *__pyx_n_s_itemsize;
static PyObject *__pyx_kp_s_itemsize_0_for_cython_array;
static PyObject *__pyx_n_s_length;
static PyObject *__pyx_n_s_main;
static PyObject *__pyx_n_s_maxiter;
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_kp_s_no_default___reduce___due_to_non;
static PyObject *__pyx_n_s_np;
static PyObject *__pyx_n_s_numpy;
static PyObject *__pyx_kp_s_numpy_core_multiarray_failed_to;
static PyObject *__pyx_kp_s_numpy_core_umath_failed_to_impor;
static PyObject *__pyx_n_s_obj;
static PyObject *__pyx_n_s_output;
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_reduce;
static PyObject *__pyx_n_s_reduce_cython;
static PyObject *__pyx_n_s_reduce_ex;
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_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_z;
static PyObject *__pyx_n_s_zs;
static PyObject *__pyx_pf_9calculate_calculate_z(CYTHON_UNUSED PyObject *__pyx_self, int __pyx_v_maxiter, __Pyx_memviewslice __pyx_v_zs, __Pyx_memviewslice __pyx_v_cs); /* 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 */
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*/
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/* "View.MemoryView":782
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/* function exit code */
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/* "View.MemoryView":807
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*/
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int __pyx_r;
int __pyx_t_1;
int __pyx_t_2;
int __pyx_t_3;
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/* "View.MemoryView":831
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*/
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/* "View.MemoryView":831
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/* "View.MemoryView":827
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goto __pyx_L3;
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/* "View.MemoryView":835
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__pyx_L6_bool_binop_done:;
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*/
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goto __pyx_L9_bool_binop_done;
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/* "View.MemoryView":838
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*
*
*/
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/* "View.MemoryView":837
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*/
}
/* "View.MemoryView":841
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*
* if have_start: # <<<<<<<<<<<<<<
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/* "View.MemoryView":842
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/* "View.MemoryView":843
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*/
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/* "View.MemoryView":844
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*/
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if (__pyx_t_2) {
/* "View.MemoryView":845
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/* "View.MemoryView":844
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}
/* "View.MemoryView":842
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*/
goto __pyx_L12;
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/* "View.MemoryView":846
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/* "View.MemoryView":847
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/* "View.MemoryView":848
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/* "View.MemoryView":847
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goto __pyx_L14;
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/* "View.MemoryView":850
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__pyx_L14:;
/* "View.MemoryView":846
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__pyx_L12:;
/* "View.MemoryView":841
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*/
goto __pyx_L11;
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/* "View.MemoryView":852
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/* "View.MemoryView":853
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/* "View.MemoryView":852
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* if negative_step: # <<<<<<<<<<<<<<
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*/
goto __pyx_L15;
}
/* "View.MemoryView":855
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* if have_stop:
*/
/*else*/ {
__pyx_v_start = 0;
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__pyx_L15:;
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__pyx_L11:;
/* "View.MemoryView":857
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__pyx_t_2 = (__pyx_v_have_stop != 0);
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/* "View.MemoryView":858
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/* "View.MemoryView":859
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*/
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/* "View.MemoryView":858
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*/
goto __pyx_L17;
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__pyx_L17:;
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goto __pyx_L16;
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/* "View.MemoryView":1099
* else:
* to_object_func = NULL
* to_dtype_func = NULL # <<<<<<<<<<<<<<
*
* return memoryview_fromslice(memviewslice[0], memview.view.ndim,
*/
__pyx_v_to_dtype_func = NULL;
}
__pyx_L3:;
/* "View.MemoryView":1101
* to_dtype_func = NULL
*
* return memoryview_fromslice(memviewslice[0], memview.view.ndim, # <<<<<<<<<<<<<<
* to_object_func, to_dtype_func,
* memview.dtype_is_object)
*/
__Pyx_XDECREF(__pyx_r);
/* "View.MemoryView":1103
* return memoryview_fromslice(memviewslice[0], memview.view.ndim,
* to_object_func, to_dtype_func,
* memview.dtype_is_object) # <<<<<<<<<<<<<<
*
*
*/
__pyx_t_5 = __pyx_memoryview_fromslice((__pyx_v_memviewslice[0]), __pyx_v_memview->view.ndim, __pyx_v_to_object_func, __pyx_v_to_dtype_func, __pyx_v_memview->dtype_is_object); if (unlikely(!__pyx_t_5)) __PYX_ERR(2, 1101, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_5);
__pyx_r = __pyx_t_5;
__pyx_t_5 = 0;
goto __pyx_L0;
/* "View.MemoryView":1087
*
* @cname('__pyx_memoryview_copy_object_from_slice')
* cdef memoryview_copy_from_slice(memoryview memview, __Pyx_memviewslice *memviewslice): # <<<<<<<<<<<<<<
* """
* Create a new memoryview object from a given memoryview object and slice.
*/
/* function exit code */
__pyx_L1_error:;
__Pyx_XDECREF(__pyx_t_5);
__Pyx_AddTraceback("View.MemoryView.memoryview_copy_from_slice", __pyx_clineno, __pyx_lineno, __pyx_filename);
__pyx_r = 0;
__pyx_L0:;
__Pyx_XGIVEREF(__pyx_r);
__Pyx_RefNannyFinishContext();
return __pyx_r;
}
/* "View.MemoryView":1109
*
*
* cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil: # <<<<<<<<<<<<<<
* if arg < 0:
* return -arg
*/
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
* else:
*/
__pyx_t_1 = ((__pyx_v_arg < 0) != 0);
if (__pyx_t_1) {
/* "View.MemoryView":1111
* cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil:
* if arg < 0:
* return -arg # <<<<<<<<<<<<<<
* else:
* return arg
*/
__pyx_r = (-__pyx_v_arg);
goto __pyx_L0;
/* "View.MemoryView":1110
*
* cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil:
* if arg < 0: # <<<<<<<<<<<<<<
* return -arg
* else:
*/
}
/* "View.MemoryView":1113
* return -arg
* else:
* return arg # <<<<<<<<<<<<<<
*
* @cname('__pyx_get_best_slice_order')
*/
/*else*/ {
__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:
* return -arg
*/
/* function exit code */
__pyx_L0:;
return __pyx_r;
}
/* "View.MemoryView":1116
*
* @cname('__pyx_get_best_slice_order')
* cdef char get_best_order(__Pyx_memviewslice *mslice, int ndim) nogil: # <<<<<<<<<<<<<<
* """
* Figure out the best memory access order for a given slice.
*/
static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int __pyx_v_ndim) {
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
* """
* cdef int i
* cdef Py_ssize_t c_stride = 0 # <<<<<<<<<<<<<<
* cdef Py_ssize_t f_stride = 0
*
*/
__pyx_v_c_stride = 0;
/* "View.MemoryView":1122
* cdef int i
* cdef Py_ssize_t c_stride = 0
* cdef Py_ssize_t f_stride = 0 # <<<<<<<<<<<<<<
*
* for i in range(ndim - 1, -1, -1):
*/
__pyx_v_f_stride = 0;
/* "View.MemoryView":1124
* cdef Py_ssize_t f_stride = 0
*
* for i in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<<
* if mslice.shape[i] > 1:
* c_stride = 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":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
* for i in range(ndim - 1, -1, -1):
* if mslice.shape[i] > 1:
* c_stride = mslice.strides[i] # <<<<<<<<<<<<<<
* break
*
*/
__pyx_v_c_stride = (__pyx_v_mslice->strides[__pyx_v_i]);
/* "View.MemoryView":1127
* if mslice.shape[i] > 1:
* c_stride = mslice.strides[i]
* 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:
* f_stride = mslice.strides[i]
*/
__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):
* if mslice.shape[i] > 1:
* f_stride = mslice.strides[i] # <<<<<<<<<<<<<<
* break
*
*/
__pyx_v_f_stride = (__pyx_v_mslice->strides[__pyx_v_i]);
/* "View.MemoryView":1132
* if mslice.shape[i] > 1:
* f_stride = mslice.strides[i]
* break # <<<<<<<<<<<<<<
*
* if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride):
*/
goto __pyx_L7_break;
/* "View.MemoryView":1130
*
* for i in range(ndim):
* if mslice.shape[i] > 1: # <<<<<<<<<<<<<<
* f_stride = mslice.strides[i]
* break
*/
}
}
__pyx_L7_break:;
/* "View.MemoryView":1134
* break
*
* if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): # <<<<<<<<<<<<<<
* return 'C'
* else:
*/
__pyx_t_2 = ((abs_py_ssize_t(__pyx_v_c_stride) <= abs_py_ssize_t(__pyx_v_f_stride)) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1135
*
* if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride):
* return 'C' # <<<<<<<<<<<<<<
* else:
* return 'F'
*/
__pyx_r = 'C';
goto __pyx_L0;
/* "View.MemoryView":1134
* break
*
* if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): # <<<<<<<<<<<<<<
* return 'C'
* else:
*/
}
/* "View.MemoryView":1137
* return 'C'
* else:
* return 'F' # <<<<<<<<<<<<<<
*
* @cython.cdivision(True)
*/
/*else*/ {
__pyx_r = 'F';
goto __pyx_L0;
}
/* "View.MemoryView":1116
*
* @cname('__pyx_get_best_slice_order')
* cdef char get_best_order(__Pyx_memviewslice *mslice, int ndim) nogil: # <<<<<<<<<<<<<<
* """
* Figure out the best memory access order for a given slice.
*/
/* function exit code */
__pyx_L0:;
return __pyx_r;
}
/* "View.MemoryView":1140
*
* @cython.cdivision(True)
* cdef void _copy_strided_to_strided(char *src_data, Py_ssize_t *src_strides, # <<<<<<<<<<<<<<
* char *dst_data, Py_ssize_t *dst_strides,
* Py_ssize_t *src_shape, Py_ssize_t *dst_shape,
*/
static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v_src_strides, char *__pyx_v_dst_data, Py_ssize_t *__pyx_v_dst_strides, Py_ssize_t *__pyx_v_src_shape, Py_ssize_t *__pyx_v_dst_shape, int __pyx_v_ndim, size_t __pyx_v_itemsize) {
CYTHON_UNUSED Py_ssize_t __pyx_v_i;
CYTHON_UNUSED Py_ssize_t __pyx_v_src_extent;
Py_ssize_t __pyx_v_dst_extent;
Py_ssize_t __pyx_v_src_stride;
Py_ssize_t __pyx_v_dst_stride;
int __pyx_t_1;
int __pyx_t_2;
int __pyx_t_3;
Py_ssize_t __pyx_t_4;
Py_ssize_t __pyx_t_5;
Py_ssize_t __pyx_t_6;
/* "View.MemoryView":1147
*
* cdef Py_ssize_t i
* cdef Py_ssize_t src_extent = src_shape[0] # <<<<<<<<<<<<<<
* cdef Py_ssize_t dst_extent = dst_shape[0]
* cdef Py_ssize_t src_stride = src_strides[0]
*/
__pyx_v_src_extent = (__pyx_v_src_shape[0]);
/* "View.MemoryView":1148
* cdef Py_ssize_t i
* cdef Py_ssize_t src_extent = src_shape[0]
* cdef Py_ssize_t dst_extent = dst_shape[0] # <<<<<<<<<<<<<<
* cdef Py_ssize_t src_stride = src_strides[0]
* cdef Py_ssize_t dst_stride = dst_strides[0]
*/
__pyx_v_dst_extent = (__pyx_v_dst_shape[0]);
/* "View.MemoryView":1149
* cdef Py_ssize_t src_extent = src_shape[0]
* cdef Py_ssize_t dst_extent = dst_shape[0]
* cdef Py_ssize_t src_stride = src_strides[0] # <<<<<<<<<<<<<<
* cdef Py_ssize_t dst_stride = dst_strides[0]
*
*/
__pyx_v_src_stride = (__pyx_v_src_strides[0]);
/* "View.MemoryView":1150
* cdef Py_ssize_t dst_extent = dst_shape[0]
* cdef Py_ssize_t src_stride = src_strides[0]
* cdef Py_ssize_t dst_stride = dst_strides[0] # <<<<<<<<<<<<<<
*
* if ndim == 1:
*/
__pyx_v_dst_stride = (__pyx_v_dst_strides[0]);
/* "View.MemoryView":1152
* cdef Py_ssize_t dst_stride = dst_strides[0]
*
* if ndim == 1: # <<<<<<<<<<<<<<
* if (src_stride > 0 and dst_stride > 0 and
* <size_t> src_stride == itemsize == <size_t> dst_stride):
*/
__pyx_t_1 = ((__pyx_v_ndim == 1) != 0);
if (__pyx_t_1) {
/* "View.MemoryView":1153
*
* if ndim == 1:
* if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<<
* <size_t> src_stride == itemsize == <size_t> dst_stride):
* memcpy(dst_data, src_data, itemsize * dst_extent)
*/
__pyx_t_2 = ((__pyx_v_src_stride > 0) != 0);
if (__pyx_t_2) {
} else {
__pyx_t_1 = __pyx_t_2;
goto __pyx_L5_bool_binop_done;
}
__pyx_t_2 = ((__pyx_v_dst_stride > 0) != 0);
if (__pyx_t_2) {
} else {
__pyx_t_1 = __pyx_t_2;
goto __pyx_L5_bool_binop_done;
}
/* "View.MemoryView":1154
* if ndim == 1:
* if (src_stride > 0 and dst_stride > 0 and
* <size_t> src_stride == itemsize == <size_t> dst_stride): # <<<<<<<<<<<<<<
* memcpy(dst_data, src_data, itemsize * dst_extent)
* else:
*/
__pyx_t_2 = (((size_t)__pyx_v_src_stride) == __pyx_v_itemsize);
if (__pyx_t_2) {
__pyx_t_2 = (__pyx_v_itemsize == ((size_t)__pyx_v_dst_stride));
}
__pyx_t_3 = (__pyx_t_2 != 0);
__pyx_t_1 = __pyx_t_3;
__pyx_L5_bool_binop_done:;
/* "View.MemoryView":1153
*
* if ndim == 1:
* if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<<
* <size_t> src_stride == itemsize == <size_t> dst_stride):
* memcpy(dst_data, src_data, itemsize * dst_extent)
*/
if (__pyx_t_1) {
/* "View.MemoryView":1155
* if (src_stride > 0 and dst_stride > 0 and
* <size_t> src_stride == itemsize == <size_t> dst_stride):
* memcpy(dst_data, src_data, itemsize * dst_extent) # <<<<<<<<<<<<<<
* else:
* for i in range(dst_extent):
*/
(void)(memcpy(__pyx_v_dst_data, __pyx_v_src_data, (__pyx_v_itemsize * __pyx_v_dst_extent)));
/* "View.MemoryView":1153
*
* if ndim == 1:
* if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<<
* <size_t> src_stride == itemsize == <size_t> dst_stride):
* memcpy(dst_data, src_data, itemsize * dst_extent)
*/
goto __pyx_L4;
}
/* "View.MemoryView":1157
* memcpy(dst_data, src_data, itemsize * dst_extent)
* else:
* for i in range(dst_extent): # <<<<<<<<<<<<<<
* memcpy(dst_data, src_data, itemsize)
* src_data += src_stride
*/
/*else*/ {
__pyx_t_4 = __pyx_v_dst_extent;
__pyx_t_5 = __pyx_t_4;
for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {
__pyx_v_i = __pyx_t_6;
/* "View.MemoryView":1158
* else:
* for i in range(dst_extent):
* memcpy(dst_data, src_data, itemsize) # <<<<<<<<<<<<<<
* src_data += src_stride
* dst_data += dst_stride
*/
(void)(memcpy(__pyx_v_dst_data, __pyx_v_src_data, __pyx_v_itemsize));
/* "View.MemoryView":1159
* for i in range(dst_extent):
* memcpy(dst_data, src_data, itemsize)
* src_data += src_stride # <<<<<<<<<<<<<<
* dst_data += dst_stride
* else:
*/
__pyx_v_src_data = (__pyx_v_src_data + __pyx_v_src_stride);
/* "View.MemoryView":1160
* memcpy(dst_data, src_data, itemsize)
* src_data += src_stride
* dst_data += dst_stride # <<<<<<<<<<<<<<
* else:
* for i in range(dst_extent):
*/
__pyx_v_dst_data = (__pyx_v_dst_data + __pyx_v_dst_stride);
}
}
__pyx_L4:;
/* "View.MemoryView":1152
* cdef Py_ssize_t dst_stride = dst_strides[0]
*
* if ndim == 1: # <<<<<<<<<<<<<<
* if (src_stride > 0 and dst_stride > 0 and
* <size_t> src_stride == itemsize == <size_t> dst_stride):
*/
goto __pyx_L3;
}
/* "View.MemoryView":1162
* dst_data += dst_stride
* else:
* for i in range(dst_extent): # <<<<<<<<<<<<<<
* _copy_strided_to_strided(src_data, src_strides + 1,
* dst_data, dst_strides + 1,
*/
/*else*/ {
__pyx_t_4 = __pyx_v_dst_extent;
__pyx_t_5 = __pyx_t_4;
for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {
__pyx_v_i = __pyx_t_6;
/* "View.MemoryView":1163
* else:
* for i in range(dst_extent):
* _copy_strided_to_strided(src_data, src_strides + 1, # <<<<<<<<<<<<<<
* dst_data, dst_strides + 1,
* src_shape + 1, dst_shape + 1,
*/
_copy_strided_to_strided(__pyx_v_src_data, (__pyx_v_src_strides + 1), __pyx_v_dst_data, (__pyx_v_dst_strides + 1), (__pyx_v_src_shape + 1), (__pyx_v_dst_shape + 1), (__pyx_v_ndim - 1), __pyx_v_itemsize);
/* "View.MemoryView":1167
* src_shape + 1, dst_shape + 1,
* ndim - 1, itemsize)
* src_data += src_stride # <<<<<<<<<<<<<<
* dst_data += dst_stride
*
*/
__pyx_v_src_data = (__pyx_v_src_data + __pyx_v_src_stride);
/* "View.MemoryView":1168
* ndim - 1, itemsize)
* src_data += src_stride
* dst_data += dst_stride # <<<<<<<<<<<<<<
*
* cdef void copy_strided_to_strided(__Pyx_memviewslice *src,
*/
__pyx_v_dst_data = (__pyx_v_dst_data + __pyx_v_dst_stride);
}
}
__pyx_L3:;
/* "View.MemoryView":1140
*
* @cython.cdivision(True)
* cdef void _copy_strided_to_strided(char *src_data, Py_ssize_t *src_strides, # <<<<<<<<<<<<<<
* char *dst_data, Py_ssize_t *dst_strides,
* Py_ssize_t *src_shape, Py_ssize_t *dst_shape,
*/
/* function exit code */
}
/* "View.MemoryView":1170
* dst_data += dst_stride
*
* cdef void copy_strided_to_strided(__Pyx_memviewslice *src, # <<<<<<<<<<<<<<
* __Pyx_memviewslice *dst,
* int ndim, size_t itemsize) nogil:
*/
static void copy_strided_to_strided(__Pyx_memviewslice *__pyx_v_src, __Pyx_memviewslice *__pyx_v_dst, int __pyx_v_ndim, size_t __pyx_v_itemsize) {
/* "View.MemoryView":1173
* __Pyx_memviewslice *dst,
* int ndim, size_t itemsize) nogil:
* _copy_strided_to_strided(src.data, src.strides, dst.data, dst.strides, # <<<<<<<<<<<<<<
* src.shape, dst.shape, ndim, itemsize)
*
*/
_copy_strided_to_strided(__pyx_v_src->data, __pyx_v_src->strides, __pyx_v_dst->data, __pyx_v_dst->strides, __pyx_v_src->shape, __pyx_v_dst->shape, __pyx_v_ndim, __pyx_v_itemsize);
/* "View.MemoryView":1170
* dst_data += dst_stride
*
* cdef void copy_strided_to_strided(__Pyx_memviewslice *src, # <<<<<<<<<<<<<<
* __Pyx_memviewslice *dst,
* int ndim, size_t itemsize) nogil:
*/
/* function exit code */
}
/* "View.MemoryView":1177
*
* @cname('__pyx_memoryview_slice_get_size')
* cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) nogil: # <<<<<<<<<<<<<<
* "Return the size of the memory occupied by the slice in number of bytes"
* cdef Py_ssize_t shape, size = src.memview.view.itemsize
*/
static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *__pyx_v_src, int __pyx_v_ndim) {
Py_ssize_t __pyx_v_shape;
Py_ssize_t __pyx_v_size;
Py_ssize_t __pyx_r;
Py_ssize_t __pyx_t_1;
Py_ssize_t *__pyx_t_2;
Py_ssize_t *__pyx_t_3;
Py_ssize_t *__pyx_t_4;
/* "View.MemoryView":1179
* cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) nogil:
* "Return the size of the memory occupied by the slice in number of bytes"
* cdef Py_ssize_t shape, size = src.memview.view.itemsize # <<<<<<<<<<<<<<
*
* for shape in src.shape[:ndim]:
*/
__pyx_t_1 = __pyx_v_src->memview->view.itemsize;
__pyx_v_size = __pyx_t_1;
/* "View.MemoryView":1181
* cdef Py_ssize_t shape, size = src.memview.view.itemsize
*
* for shape in src.shape[:ndim]: # <<<<<<<<<<<<<<
* size *= shape
*
*/
__pyx_t_3 = (__pyx_v_src->shape + __pyx_v_ndim);
for (__pyx_t_4 = __pyx_v_src->shape; __pyx_t_4 < __pyx_t_3; __pyx_t_4++) {
__pyx_t_2 = __pyx_t_4;
__pyx_v_shape = (__pyx_t_2[0]);
/* "View.MemoryView":1182
*
* for shape in src.shape[:ndim]:
* size *= shape # <<<<<<<<<<<<<<
*
* return size
*/
__pyx_v_size = (__pyx_v_size * __pyx_v_shape);
}
/* "View.MemoryView":1184
* size *= shape
*
* return size # <<<<<<<<<<<<<<
*
* @cname('__pyx_fill_contig_strides_array')
*/
__pyx_r = __pyx_v_size;
goto __pyx_L0;
/* "View.MemoryView":1177
*
* @cname('__pyx_memoryview_slice_get_size')
* cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) nogil: # <<<<<<<<<<<<<<
* "Return the size of the memory occupied by the slice in number of bytes"
* cdef Py_ssize_t shape, size = src.memview.view.itemsize
*/
/* function exit code */
__pyx_L0:;
return __pyx_r;
}
/* "View.MemoryView":1187
*
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/* "View.MemoryView":1265
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* __Pyx_memviewslice dst,
* int src_ndim, int dst_ndim,
*/
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void *__pyx_v_tmpdata;
size_t __pyx_v_itemsize;
int __pyx_v_i;
char __pyx_v_order;
int __pyx_v_broadcasting;
int __pyx_v_direct_copy;
__Pyx_memviewslice __pyx_v_tmp;
int __pyx_v_ndim;
int __pyx_r;
Py_ssize_t __pyx_t_1;
int __pyx_t_2;
int __pyx_t_3;
int __pyx_t_4;
int __pyx_t_5;
int __pyx_t_6;
void *__pyx_t_7;
int __pyx_t_8;
int __pyx_lineno = 0;
const char *__pyx_filename = NULL;
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* Check for overlapping memory and verify the shapes.
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* cdef size_t itemsize = src.memview.view.itemsize
* cdef int i
*/
__pyx_v_tmpdata = NULL;
/* "View.MemoryView":1277
* """
* cdef void *tmpdata = NULL
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* cdef int i
* cdef char order = get_best_order(&src, src_ndim)
*/
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__pyx_v_itemsize = __pyx_t_1;
/* "View.MemoryView":1279
* cdef size_t itemsize = src.memview.view.itemsize
* cdef int i
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* cdef bint broadcasting = False
* cdef bint direct_copy = False
*/
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* cdef int i
* cdef char order = get_best_order(&src, src_ndim)
* cdef bint broadcasting = False # <<<<<<<<<<<<<<
* cdef bint direct_copy = False
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__pyx_v_broadcasting = 0;
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* cdef char order = get_best_order(&src, src_ndim)
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* cdef __Pyx_memviewslice tmp
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*/
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* cdef __Pyx_memviewslice tmp
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* if src_ndim < dst_ndim: # <<<<<<<<<<<<<<
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__pyx_t_2 = ((__pyx_v_src_ndim < __pyx_v_dst_ndim) != 0);
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/* "View.MemoryView":1285
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* elif dst_ndim < src_ndim:
* broadcast_leading(&dst, dst_ndim, src_ndim)
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* cdef __Pyx_memviewslice tmp
*
* if src_ndim < dst_ndim: # <<<<<<<<<<<<<<
* broadcast_leading(&src, src_ndim, dst_ndim)
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*/
goto __pyx_L3;
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/* "View.MemoryView":1286
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* broadcast_leading(&dst, dst_ndim, src_ndim)
*
*/
__pyx_t_2 = ((__pyx_v_dst_ndim < __pyx_v_src_ndim) != 0);
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/* "View.MemoryView":1287
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*
* cdef int ndim = max(src_ndim, dst_ndim)
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__pyx_memoryview_broadcast_leading((&__pyx_v_dst), __pyx_v_dst_ndim, __pyx_v_src_ndim);
/* "View.MemoryView":1286
* if src_ndim < dst_ndim:
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* elif dst_ndim < src_ndim: # <<<<<<<<<<<<<<
* broadcast_leading(&dst, dst_ndim, src_ndim)
*
*/
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/* "View.MemoryView":1289
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* cdef int ndim = max(src_ndim, dst_ndim) # <<<<<<<<<<<<<<
*
* for i in range(ndim):
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* for i in range(ndim): # <<<<<<<<<<<<<<
* if src.shape[i] != dst.shape[i]:
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*/
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/* "View.MemoryView":1292
*
* for i in range(ndim):
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* if src.shape[i] == 1:
* broadcasting = True
*/
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/* "View.MemoryView":1293
* for i in range(ndim):
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* broadcasting = True
* src.strides[i] = 0
*/
__pyx_t_2 = (((__pyx_v_src.shape[__pyx_v_i]) == 1) != 0);
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/* "View.MemoryView":1294
* if src.shape[i] != dst.shape[i]:
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* src.strides[i] = 0
* else:
*/
__pyx_v_broadcasting = 1;
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* else:
* _err_extents(i, dst.shape[i], src.shape[i])
*/
(__pyx_v_src.strides[__pyx_v_i]) = 0;
/* "View.MemoryView":1293
* for i in range(ndim):
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* broadcasting = True
* src.strides[i] = 0
*/
goto __pyx_L7;
}
/* "View.MemoryView":1297
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*
* if src.suboffsets[i] >= 0:
*/
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/* "View.MemoryView":1292
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* for i in range(ndim):
* if src.shape[i] != dst.shape[i]: # <<<<<<<<<<<<<<
* if src.shape[i] == 1:
* broadcasting = True
*/
}
/* "View.MemoryView":1299
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*
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* _err_dim(ValueError, "Dimension %d is not direct", i)
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/* "View.MemoryView":1300
*
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*
* if slices_overlap(&src, &dst, ndim, itemsize):
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/* "View.MemoryView":1299
* _err_extents(i, dst.shape[i], src.shape[i])
*
* if src.suboffsets[i] >= 0: # <<<<<<<<<<<<<<
* _err_dim(ValueError, "Dimension %d is not direct", i)
*
*/
}
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/* "View.MemoryView":1302
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/* "View.MemoryView":1305
*
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/* "View.MemoryView":1304
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* order = get_best_order(&dst, ndim)
*
*/
}
/* "View.MemoryView":1307
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* src = tmp
*
*/
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/* "View.MemoryView":1314
*
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*/
goto __pyx_L12;
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/* "View.MemoryView":1315
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/* "View.MemoryView":1316
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__pyx_L12:;
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* free(tmpdata)
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(void)(memcpy(__pyx_v_dst.data, __pyx_v_src.data, __pyx_memoryview_slice_get_size((&__pyx_v_src), __pyx_v_ndim)));
/* "View.MemoryView":1322
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* free(tmpdata)
* return 0
*/
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/* "View.MemoryView":1323
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* return 0
*
*/
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/* "View.MemoryView":1324
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goto __pyx_L0;
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*
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*/
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/* "View.MemoryView":1310
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*
*
*/
}
/* "View.MemoryView":1326
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*
*/
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__pyx_t_2 = ('F' == __pyx_get_best_slice_order((&__pyx_v_dst), __pyx_v_ndim));
}
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/* "View.MemoryView":1329
*
*
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/* "View.MemoryView":1330
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*
* refcount_copying(&dst, dtype_is_object, ndim, False)
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/* "View.MemoryView":1326
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* if order == 'F' == get_best_order(&dst, ndim): # <<<<<<<<<<<<<<
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*
*/
}
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* refcount_copying(&dst, dtype_is_object, ndim, False) # <<<<<<<<<<<<<<
* copy_strided_to_strided(&src, &dst, ndim, itemsize)
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/* "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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};
static struct PyGetSetDef __pyx_getsets_array[] = {
{(char *)"memview", __pyx_getprop___pyx_array_memview, 0, (char *)0, 0},
{0, 0, 0, 0, 0}
};
static PySequenceMethods __pyx_tp_as_sequence_array = {
__pyx_array___len__, /*sq_length*/
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*/
};
static PyMappingMethods __pyx_tp_as_mapping_array = {
__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*/
#endif
#if PY_MAJOR_VERSION < 3
0, /*bf_getsegcount*/
#endif
#if PY_MAJOR_VERSION < 3
0, /*bf_getcharbuffer*/
#endif
__pyx_array_getbuffer, /*bf_getbuffer*/
0, /*bf_releasebuffer*/
};
static PyTypeObject __pyx_type___pyx_array = {
PyVarObject_HEAD_INIT(0, 0)
"calculate.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*/
#endif
#if PY_MAJOR_VERSION >= 3
0, /*tp_as_async*/
#endif
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*/
#endif
#if PY_VERSION_HEX >= 0x030800b1
0, /*tp_vectorcall*/
#endif
#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}
};
static PyTypeObject __pyx_type___pyx_MemviewEnum = {
PyVarObject_HEAD_INIT(0, 0)
"calculate.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);
__Pyx_SET_REFCNT(o, Py_REFCNT(o) + 1);
__pyx_memoryview___dealloc__(o);
__Pyx_SET_REFCNT(o, Py_REFCNT(o) - 1);
PyErr_Restore(etype, eval, etb);
}
Py_CLEAR(p->obj);
Py_CLEAR(p->_size);
Py_CLEAR(p->_array_interface);
(*Py_TYPE(o)->tp_free)(o);
}
static int __pyx_tp_traverse_memoryview(PyObject *o, visitproc v, void *a) {
int e;
struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o;
if (p->obj) {
e = (*v)(p->obj, a); if (e) return e;
}
if (p->_size) {
e = (*v)(p->_size, a); if (e) return e;
}
if (p->_array_interface) {
e = (*v)(p->_array_interface, a); if (e) return e;
}
if (p->view.obj) {
e = (*v)(p->view.obj, a); if (e) return e;
}
return 0;
}
static int __pyx_tp_clear_memoryview(PyObject *o) {
PyObject* tmp;
struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o;
tmp = ((PyObject*)p->obj);
p->obj = Py_None; Py_INCREF(Py_None);
Py_XDECREF(tmp);
tmp = ((PyObject*)p->_size);
p->_size = Py_None; Py_INCREF(Py_None);
Py_XDECREF(tmp);
tmp = ((PyObject*)p->_array_interface);
p->_array_interface = Py_None; Py_INCREF(Py_None);
Py_XDECREF(tmp);
Py_CLEAR(p->view.obj);
return 0;
}
static PyObject *__pyx_sq_item_memoryview(PyObject *o, Py_ssize_t i) {
PyObject *r;
PyObject *x = PyInt_FromSsize_t(i); if(!x) return 0;
r = Py_TYPE(o)->tp_as_mapping->mp_subscript(o, x);
Py_DECREF(x);
return r;
}
static int __pyx_mp_ass_subscript_memoryview(PyObject *o, PyObject *i, PyObject *v) {
if (v) {
return __pyx_memoryview___setitem__(o, i, v);
}
else {
PyErr_Format(PyExc_NotImplementedError,
"Subscript deletion not supported by %.200s", Py_TYPE(o)->tp_name);
return -1;
}
}
static PyObject *__pyx_getprop___pyx_memoryview_T(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_1T_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_base(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_4base_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_shape(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_5shape_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_strides(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_7strides_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_suboffsets(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_10suboffsets_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_ndim(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_4ndim_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_itemsize(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_8itemsize_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_nbytes(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_6nbytes_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_size(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_4size_1__get__(o);
}
static PyMethodDef __pyx_methods_memoryview[] = {
{"is_c_contig", (PyCFunction)__pyx_memoryview_is_c_contig, METH_NOARGS, 0},
{"is_f_contig", (PyCFunction)__pyx_memoryview_is_f_contig, METH_NOARGS, 0},
{"copy", (PyCFunction)__pyx_memoryview_copy, METH_NOARGS, 0},
{"copy_fortran", (PyCFunction)__pyx_memoryview_copy_fortran, METH_NOARGS, 0},
{"__reduce_cython__", (PyCFunction)__pyx_pw___pyx_memoryview_1__reduce_cython__, METH_NOARGS, 0},
{"__setstate_cython__", (PyCFunction)__pyx_pw___pyx_memoryview_3__setstate_cython__, METH_O, 0},
{0, 0, 0, 0}
};
static struct PyGetSetDef __pyx_getsets_memoryview[] = {
{(char *)"T", __pyx_getprop___pyx_memoryview_T, 0, (char *)0, 0},
{(char *)"base", __pyx_getprop___pyx_memoryview_base, 0, (char *)0, 0},
{(char *)"shape", __pyx_getprop___pyx_memoryview_shape, 0, (char *)0, 0},
{(char *)"strides", __pyx_getprop___pyx_memoryview_strides, 0, (char *)0, 0},
{(char *)"suboffsets", __pyx_getprop___pyx_memoryview_suboffsets, 0, (char *)0, 0},
{(char *)"ndim", __pyx_getprop___pyx_memoryview_ndim, 0, (char *)0, 0},
{(char *)"itemsize", __pyx_getprop___pyx_memoryview_itemsize, 0, (char *)0, 0},
{(char *)"nbytes", __pyx_getprop___pyx_memoryview_nbytes, 0, (char *)0, 0},
{(char *)"size", __pyx_getprop___pyx_memoryview_size, 0, (char *)0, 0},
{0, 0, 0, 0, 0}
};
static PySequenceMethods __pyx_tp_as_sequence_memoryview = {
__pyx_memoryview___len__, /*sq_length*/
0, /*sq_concat*/
0, /*sq_repeat*/
__pyx_sq_item_memoryview, /*sq_item*/
0, /*sq_slice*/
0, /*sq_ass_item*/
0, /*sq_ass_slice*/
0, /*sq_contains*/
0, /*sq_inplace_concat*/
0, /*sq_inplace_repeat*/
};
static PyMappingMethods __pyx_tp_as_mapping_memoryview = {
__pyx_memoryview___len__, /*mp_length*/
__pyx_memoryview___getitem__, /*mp_subscript*/
__pyx_mp_ass_subscript_memoryview, /*mp_ass_subscript*/
};
static PyBufferProcs __pyx_tp_as_buffer_memoryview = {
#if PY_MAJOR_VERSION < 3
0, /*bf_getreadbuffer*/
#endif
#if PY_MAJOR_VERSION < 3
0, /*bf_getwritebuffer*/
#endif
#if PY_MAJOR_VERSION < 3
0, /*bf_getsegcount*/
#endif
#if PY_MAJOR_VERSION < 3
0, /*bf_getcharbuffer*/
#endif
__pyx_memoryview_getbuffer, /*bf_getbuffer*/
0, /*bf_releasebuffer*/
};
static PyTypeObject __pyx_type___pyx_memoryview = {
PyVarObject_HEAD_INIT(0, 0)
"calculate.memoryview", /*tp_name*/
sizeof(struct __pyx_memoryview_obj), /*tp_basicsize*/
0, /*tp_itemsize*/
__pyx_tp_dealloc_memoryview, /*tp_dealloc*/
#if PY_VERSION_HEX < 0x030800b4
0, /*tp_print*/
#endif
#if PY_VERSION_HEX >= 0x030800b4
0, /*tp_vectorcall_offset*/
#endif
0, /*tp_getattr*/
0, /*tp_setattr*/
#if PY_MAJOR_VERSION < 3
0, /*tp_compare*/
#endif
#if PY_MAJOR_VERSION >= 3
0, /*tp_as_async*/
#endif
__pyx_memoryview___repr__, /*tp_repr*/
0, /*tp_as_number*/
&__pyx_tp_as_sequence_memoryview, /*tp_as_sequence*/
&__pyx_tp_as_mapping_memoryview, /*tp_as_mapping*/
0, /*tp_hash*/
0, /*tp_call*/
__pyx_memoryview___str__, /*tp_str*/
0, /*tp_getattro*/
0, /*tp_setattro*/
&__pyx_tp_as_buffer_memoryview, /*tp_as_buffer*/
Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
0, /*tp_doc*/
__pyx_tp_traverse_memoryview, /*tp_traverse*/
__pyx_tp_clear_memoryview, /*tp_clear*/
0, /*tp_richcompare*/
0, /*tp_weaklistoffset*/
0, /*tp_iter*/
0, /*tp_iternext*/
__pyx_methods_memoryview, /*tp_methods*/
0, /*tp_members*/
__pyx_getsets_memoryview, /*tp_getset*/
0, /*tp_base*/
0, /*tp_dict*/
0, /*tp_descr_get*/
0, /*tp_descr_set*/
0, /*tp_dictoffset*/
0, /*tp_init*/
0, /*tp_alloc*/
__pyx_tp_new_memoryview, /*tp_new*/
0, /*tp_free*/
0, /*tp_is_gc*/
0, /*tp_bases*/
0, /*tp_mro*/
0, /*tp_cache*/
0, /*tp_subclasses*/
0, /*tp_weaklist*/
0, /*tp_del*/
0, /*tp_version_tag*/
#if PY_VERSION_HEX >= 0x030400a1
0, /*tp_finalize*/
#endif
#if PY_VERSION_HEX >= 0x030800b1
0, /*tp_vectorcall*/
#endif
#if PY_VERSION_HEX >= 0x030800b4 && PY_VERSION_HEX < 0x03090000
0, /*tp_print*/
#endif
};
static struct __pyx_vtabstruct__memoryviewslice __pyx_vtable__memoryviewslice;
static PyObject *__pyx_tp_new__memoryviewslice(PyTypeObject *t, PyObject *a, PyObject *k) {
struct __pyx_memoryviewslice_obj *p;
PyObject *o = __pyx_tp_new_memoryview(t, a, k);
if (unlikely(!o)) return 0;
p = ((struct __pyx_memoryviewslice_obj *)o);
p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_memoryview*)__pyx_vtabptr__memoryviewslice;
p->from_object = Py_None; Py_INCREF(Py_None);
p->from_slice.memview = NULL;
return o;
}
static void __pyx_tp_dealloc__memoryviewslice(PyObject *o) {
struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o;
#if CYTHON_USE_TP_FINALIZE
if (unlikely(PyType_HasFeature(Py_TYPE(o), Py_TPFLAGS_HAVE_FINALIZE) && Py_TYPE(o)->tp_finalize) && !_PyGC_FINALIZED(o)) {
if (PyObject_CallFinalizerFromDealloc(o)) return;
}
#endif
PyObject_GC_UnTrack(o);
{
PyObject *etype, *eval, *etb;
PyErr_Fetch(&etype, &eval, &etb);
__Pyx_SET_REFCNT(o, Py_REFCNT(o) + 1);
__pyx_memoryviewslice___dealloc__(o);
__Pyx_SET_REFCNT(o, Py_REFCNT(o) - 1);
PyErr_Restore(etype, eval, etb);
}
Py_CLEAR(p->from_object);
PyObject_GC_Track(o);
__pyx_tp_dealloc_memoryview(o);
}
static int __pyx_tp_traverse__memoryviewslice(PyObject *o, visitproc v, void *a) {
int e;
struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o;
e = __pyx_tp_traverse_memoryview(o, v, a); if (e) return e;
if (p->from_object) {
e = (*v)(p->from_object, a); if (e) return e;
}
return 0;
}
static int __pyx_tp_clear__memoryviewslice(PyObject *o) {
PyObject* tmp;
struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o;
__pyx_tp_clear_memoryview(o);
tmp = ((PyObject*)p->from_object);
p->from_object = Py_None; Py_INCREF(Py_None);
Py_XDECREF(tmp);
__PYX_XDEC_MEMVIEW(&p->from_slice, 1);
return 0;
}
static PyObject *__pyx_getprop___pyx_memoryviewslice_base(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_16_memoryviewslice_4base_1__get__(o);
}
static PyMethodDef __pyx_methods__memoryviewslice[] = {
{"__reduce_cython__", (PyCFunction)__pyx_pw___pyx_memoryviewslice_1__reduce_cython__, METH_NOARGS, 0},
{"__setstate_cython__", (PyCFunction)__pyx_pw___pyx_memoryviewslice_3__setstate_cython__, METH_O, 0},
{0, 0, 0, 0}
};
static struct PyGetSetDef __pyx_getsets__memoryviewslice[] = {
{(char *)"base", __pyx_getprop___pyx_memoryviewslice_base, 0, (char *)0, 0},
{0, 0, 0, 0, 0}
};
static PyTypeObject __pyx_type___pyx_memoryviewslice = {
PyVarObject_HEAD_INIT(0, 0)
"calculate._memoryviewslice", /*tp_name*/
sizeof(struct __pyx_memoryviewslice_obj), /*tp_basicsize*/
0, /*tp_itemsize*/
__pyx_tp_dealloc__memoryviewslice, /*tp_dealloc*/
#if PY_VERSION_HEX < 0x030800b4
0, /*tp_print*/
#endif
#if PY_VERSION_HEX >= 0x030800b4
0, /*tp_vectorcall_offset*/
#endif
0, /*tp_getattr*/
0, /*tp_setattr*/
#if PY_MAJOR_VERSION < 3
0, /*tp_compare*/
#endif
#if PY_MAJOR_VERSION >= 3
0, /*tp_as_async*/
#endif
#if CYTHON_COMPILING_IN_PYPY
__pyx_memoryview___repr__, /*tp_repr*/
#else
0, /*tp_repr*/
#endif
0, /*tp_as_number*/
0, /*tp_as_sequence*/
0, /*tp_as_mapping*/
0, /*tp_hash*/
0, /*tp_call*/
#if CYTHON_COMPILING_IN_PYPY
__pyx_memoryview___str__, /*tp_str*/
#else
0, /*tp_str*/
#endif
0, /*tp_getattro*/
0, /*tp_setattro*/
0, /*tp_as_buffer*/
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if (__pyx_d) {
__Pyx_AddTraceback("init calculate", __pyx_clineno, __pyx_lineno, __pyx_filename);
}
Py_CLEAR(__pyx_m);
} else if (!PyErr_Occurred()) {
PyErr_SetString(PyExc_ImportError, "init calculate");
}
__pyx_L0:;
__Pyx_RefNannyFinishContext();
#if CYTHON_PEP489_MULTI_PHASE_INIT
return (__pyx_m != NULL) ? 0 : -1;
#elif PY_MAJOR_VERSION >= 3
return __pyx_m;
#else
return;
#endif
}
/* --- Runtime support code --- */
/* Refnanny */
#if CYTHON_REFNANNY
static __Pyx_RefNannyAPIStruct *__Pyx_RefNannyImportAPI(const char *modname) {
PyObject *m = NULL, *p = NULL;
void *r = NULL;
m = PyImport_ImportModule(modname);
if (!m) goto end;
p = PyObject_GetAttrString(m, "RefNannyAPI");
if (!p) goto end;
r = PyLong_AsVoidPtr(p);
end:
Py_XDECREF(p);
Py_XDECREF(m);
return (__Pyx_RefNannyAPIStruct *)r;
}
#endif
/* RaiseArgTupleInvalid */
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)
{
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;
}
/* PyObjectGetAttrStr */
#if CYTHON_USE_TYPE_SLOTS
static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStr(PyObject* obj, PyObject* attr_name) {
PyTypeObject* tp = Py_TYPE(obj);
if (likely(tp->tp_getattro))
return tp->tp_getattro(obj, attr_name);
#if PY_MAJOR_VERSION < 3
if (likely(tp->tp_getattr))
return tp->tp_getattr(obj, PyString_AS_STRING(attr_name));
#endif
return PyObject_GetAttr(obj, attr_name);
}
#endif
/* GetBuiltinName */
static PyObject *__Pyx_GetBuiltinName(PyObject *name) {
PyObject* result = __Pyx_PyObject_GetAttrStr(__pyx_b, name);
if (unlikely(!result)) {
PyErr_Format(PyExc_NameError,
#if PY_MAJOR_VERSION >= 3
"name '%U' is not defined", name);
#else
"name '%.200s' is not defined", PyString_AS_STRING(name));
#endif
}
return result;
}
/* 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);
}
/* PyObjectCall */
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw) {
PyObject *result;
ternaryfunc call = Py_TYPE(func)->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
/* BufferIndexError */
static void __Pyx_RaiseBufferIndexError(int axis) {
PyErr_Format(PyExc_IndexError,
"Out of bounds on buffer access (axis %d)", axis);
}
/* BufferIndexErrorNogil */
static void __Pyx_RaiseBufferIndexErrorNogil(int axis) {
#ifdef WITH_THREAD
PyGILState_STATE gilstate = PyGILState_Ensure();
#endif
__Pyx_RaiseBufferIndexError(axis);
#ifdef WITH_THREAD
PyGILState_Release(gilstate);
#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
/* 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;
}
}
/* 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
/* 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
/* 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;
}
/* 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
/* 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;
}
/* PyCFunctionFastCall */
#if CYTHON_FAST_PYCCALL
static CYTHON_INLINE PyObject * __Pyx_PyCFunction_FastCall(PyObject *func_obj, PyObject **args, Py_ssize_t nargs) {
PyCFunctionObject *func = (PyCFunctionObject*)func_obj;
PyCFunction meth = PyCFunction_GET_FUNCTION(func);
PyObject *self = PyCFunction_GET_SELF(func);
int flags = PyCFunction_GET_FLAGS(func);
assert(PyCFunction_Check(func));
assert(METH_FASTCALL == (flags & ~(METH_CLASS | METH_STATIC | METH_COEXIST | METH_KEYWORDS | METH_STACKLESS)));
assert(nargs >= 0);
assert(nargs == 0 || args != NULL);
/* _PyCFunction_FastCallDict() must not be called with an exception set,
because it may clear it (directly or indirectly) and so the
caller loses its exception */
assert(!PyErr_Occurred());
if ((PY_VERSION_HEX < 0x030700A0) || unlikely(flags & METH_KEYWORDS)) {
return (*((__Pyx_PyCFunctionFastWithKeywords)(void*)meth)) (self, args, nargs, NULL);
} else {
return (*((__Pyx_PyCFunctionFast)(void*)meth)) (self, args, nargs);
}
}
#endif
/* PyFunctionFastCall */
#if CYTHON_FAST_PYCALL
static PyObject* __Pyx_PyFunction_FastCallNoKw(PyCodeObject *co, PyObject **args, Py_ssize_t na,
PyObject *globals) {
PyFrameObject *f;
PyThreadState *tstate = __Pyx_PyThreadState_Current;
PyObject **fastlocals;
Py_ssize_t i;
PyObject *result;
assert(globals != NULL);
/* XXX Perhaps we should create a specialized
PyFrame_New() that doesn't take locals, but does
take builtins without sanity checking them.
*/
assert(tstate != NULL);
f = PyFrame_New(tstate, co, globals, NULL);
if (f == NULL) {
return NULL;
}
fastlocals = __Pyx_PyFrame_GetLocalsplus(f);
for (i = 0; i < na; i++) {
Py_INCREF(*args);
fastlocals[i] = *args++;
}
result = PyEval_EvalFrameEx(f,0);
++tstate->recursion_depth;
Py_DECREF(f);
--tstate->recursion_depth;
return result;
}
#if 1 || PY_VERSION_HEX < 0x030600B1
static PyObject *__Pyx_PyFunction_FastCallDict(PyObject *func, PyObject **args, Py_ssize_t nargs, PyObject *kwargs) {
PyCodeObject *co = (PyCodeObject *)PyFunction_GET_CODE(func);
PyObject *globals = PyFunction_GET_GLOBALS(func);
PyObject *argdefs = PyFunction_GET_DEFAULTS(func);
PyObject *closure;
#if PY_MAJOR_VERSION >= 3
PyObject *kwdefs;
#endif
PyObject *kwtuple, **k;
PyObject **d;
Py_ssize_t nd;
Py_ssize_t nk;
PyObject *result;
assert(kwargs == NULL || PyDict_Check(kwargs));
nk = kwargs ? PyDict_Size(kwargs) : 0;
if (Py_EnterRecursiveCall((char*)" while calling a Python object")) {
return NULL;
}
if (
#if PY_MAJOR_VERSION >= 3
co->co_kwonlyargcount == 0 &&
#endif
likely(kwargs == NULL || nk == 0) &&
co->co_flags == (CO_OPTIMIZED | CO_NEWLOCALS | CO_NOFREE)) {
if (argdefs == NULL && co->co_argcount == nargs) {
result = __Pyx_PyFunction_FastCallNoKw(co, args, nargs, globals);
goto done;
}
else if (nargs == 0 && argdefs != NULL
&& co->co_argcount == Py_SIZE(argdefs)) {
/* function called with no arguments, but all parameters have
a default value: use default values as arguments .*/
args = &PyTuple_GET_ITEM(argdefs, 0);
result =__Pyx_PyFunction_FastCallNoKw(co, args, Py_SIZE(argdefs), globals);
goto done;
}
}
if (kwargs != NULL) {
Py_ssize_t pos, i;
kwtuple = PyTuple_New(2 * nk);
if (kwtuple == NULL) {
result = NULL;
goto done;
}
k = &PyTuple_GET_ITEM(kwtuple, 0);
pos = i = 0;
while (PyDict_Next(kwargs, &pos, &k[i], &k[i+1])) {
Py_INCREF(k[i]);
Py_INCREF(k[i+1]);
i += 2;
}
nk = i / 2;
}
else {
kwtuple = NULL;
k = NULL;
}
closure = PyFunction_GET_CLOSURE(func);
#if PY_MAJOR_VERSION >= 3
kwdefs = PyFunction_GET_KW_DEFAULTS(func);
#endif
if (argdefs != NULL) {
d = &PyTuple_GET_ITEM(argdefs, 0);
nd = Py_SIZE(argdefs);
}
else {
d = NULL;
nd = 0;
}
#if PY_MAJOR_VERSION >= 3
result = PyEval_EvalCodeEx((PyObject*)co, globals, (PyObject *)NULL,
args, (int)nargs,
k, (int)nk,
d, (int)nd, kwdefs, closure);
#else
result = PyEval_EvalCodeEx(co, globals, (PyObject *)NULL,
args, (int)nargs,
k, (int)nk,
d, (int)nd, closure);
#endif
Py_XDECREF(kwtuple);
done:
Py_LeaveRecursiveCall();
return result;
}
#endif
#endif
/* PyObjectCall2Args */
static CYTHON_UNUSED PyObject* __Pyx_PyObject_Call2Args(PyObject* function, PyObject* arg1, PyObject* arg2) {
PyObject *args, *result = NULL;
#if CYTHON_FAST_PYCALL
if (PyFunction_Check(function)) {
PyObject *args[2] = {arg1, arg2};
return __Pyx_PyFunction_FastCall(function, args, 2);
}
#endif
#if CYTHON_FAST_PYCCALL
if (__Pyx_PyFastCFunction_Check(function)) {
PyObject *args[2] = {arg1, arg2};
return __Pyx_PyCFunction_FastCall(function, args, 2);
}
#endif
args = PyTuple_New(2);
if (unlikely(!args)) goto done;
Py_INCREF(arg1);
PyTuple_SET_ITEM(args, 0, arg1);
Py_INCREF(arg2);
PyTuple_SET_ITEM(args, 1, arg2);
Py_INCREF(function);
result = __Pyx_PyObject_Call(function, args, NULL);
Py_DECREF(args);
Py_DECREF(function);
done:
return result;
}
/* PyObjectCallMethO */
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg) {
PyObject *self, *result;
PyCFunction cfunc;
cfunc = PyCFunction_GET_FUNCTION(func);
self = PyCFunction_GET_SELF(func);
if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object")))
return NULL;
result = cfunc(self, arg);
Py_LeaveRecursiveCall();
if (unlikely(!result) && unlikely(!PyErr_Occurred())) {
PyErr_SetString(
PyExc_SystemError,
"NULL result without error in PyObject_Call");
}
return result;
}
#endif
/* PyObjectCallOneArg */
#if CYTHON_COMPILING_IN_CPYTHON
static PyObject* __Pyx__PyObject_CallOneArg(PyObject *func, PyObject *arg) {
PyObject *result;
PyObject *args = PyTuple_New(1);
if (unlikely(!args)) return NULL;
Py_INCREF(arg);
PyTuple_SET_ITEM(args, 0, arg);
result = __Pyx_PyObject_Call(func, args, NULL);
Py_DECREF(args);
return result;
}
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) {
#if CYTHON_FAST_PYCALL
if (PyFunction_Check(func)) {
return __Pyx_PyFunction_FastCall(func, &arg, 1);
}
#endif
if (likely(PyCFunction_Check(func))) {
if (likely(PyCFunction_GET_FLAGS(func) & METH_O)) {
return __Pyx_PyObject_CallMethO(func, arg);
#if CYTHON_FAST_PYCCALL
} else if (__Pyx_PyFastCFunction_Check(func)) {
return __Pyx_PyCFunction_FastCall(func, &arg, 1);
#endif
}
}
return __Pyx__PyObject_CallOneArg(func, arg);
}
#else
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) {
PyObject *result;
PyObject *args = PyTuple_Pack(1, arg);
if (unlikely(!args)) return NULL;
result = __Pyx_PyObject_Call(func, args, NULL);
Py_DECREF(args);
return result;
}
#endif
/* BytesEquals */
static CYTHON_INLINE int __Pyx_PyBytes_Equals(PyObject* s1, PyObject* s2, int equals) {
#if CYTHON_COMPILING_IN_PYPY
return PyObject_RichCompareBool(s1, s2, equals);
#else
if (s1 == s2) {
return (equals == Py_EQ);
} else if (PyBytes_CheckExact(s1) & PyBytes_CheckExact(s2)) {
const char *ps1, *ps2;
Py_ssize_t length = PyBytes_GET_SIZE(s1);
if (length != PyBytes_GET_SIZE(s2))
return (equals == Py_NE);
ps1 = PyBytes_AS_STRING(s1);
ps2 = PyBytes_AS_STRING(s2);
if (ps1[0] != ps2[0]) {
return (equals == Py_NE);
} else if (length == 1) {
return (equals == Py_EQ);
} else {
int result;
#if CYTHON_USE_UNICODE_INTERNALS
Py_hash_t hash1, hash2;
hash1 = ((PyBytesObject*)s1)->ob_shash;
hash2 = ((PyBytesObject*)s2)->ob_shash;
if (hash1 != hash2 && hash1 != -1 && hash2 != -1) {
return (equals == Py_NE);
}
#endif
result = memcmp(ps1, ps2, (size_t)length);
return (equals == Py_EQ) ? (result == 0) : (result != 0);
}
} else if ((s1 == Py_None) & PyBytes_CheckExact(s2)) {
return (equals == Py_NE);
} else if ((s2 == Py_None) & PyBytes_CheckExact(s1)) {
return (equals == Py_NE);
} else {
int result;
PyObject* py_result = PyObject_RichCompare(s1, s2, equals);
if (!py_result)
return -1;
result = __Pyx_PyObject_IsTrue(py_result);
Py_DECREF(py_result);
return result;
}
#endif
}
/* UnicodeEquals */
static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals) {
#if CYTHON_COMPILING_IN_PYPY
return PyObject_RichCompareBool(s1, s2, equals);
#else
#if PY_MAJOR_VERSION < 3
PyObject* owned_ref = NULL;
#endif
int s1_is_unicode, s2_is_unicode;
if (s1 == s2) {
goto return_eq;
}
s1_is_unicode = PyUnicode_CheckExact(s1);
s2_is_unicode = PyUnicode_CheckExact(s2);
#if PY_MAJOR_VERSION < 3
if ((s1_is_unicode & (!s2_is_unicode)) && PyString_CheckExact(s2)) {
owned_ref = PyUnicode_FromObject(s2);
if (unlikely(!owned_ref))
return -1;
s2 = owned_ref;
s2_is_unicode = 1;
} else if ((s2_is_unicode & (!s1_is_unicode)) && PyString_CheckExact(s1)) {
owned_ref = PyUnicode_FromObject(s1);
if (unlikely(!owned_ref))
return -1;
s1 = owned_ref;
s1_is_unicode = 1;
} else if (((!s2_is_unicode) & (!s1_is_unicode))) {
return __Pyx_PyBytes_Equals(s1, s2, equals);
}
#endif
if (s1_is_unicode & s2_is_unicode) {
Py_ssize_t length;
int kind;
void *data1, *data2;
if (unlikely(__Pyx_PyUnicode_READY(s1) < 0) || unlikely(__Pyx_PyUnicode_READY(s2) < 0))
return -1;
length = __Pyx_PyUnicode_GET_LENGTH(s1);
if (length != __Pyx_PyUnicode_GET_LENGTH(s2)) {
goto return_ne;
}
#if CYTHON_USE_UNICODE_INTERNALS
{
Py_hash_t hash1, hash2;
#if CYTHON_PEP393_ENABLED
hash1 = ((PyASCIIObject*)s1)->hash;
hash2 = ((PyASCIIObject*)s2)->hash;
#else
hash1 = ((PyUnicodeObject*)s1)->hash;
hash2 = ((PyUnicodeObject*)s2)->hash;
#endif
if (hash1 != hash2 && hash1 != -1 && hash2 != -1) {
goto return_ne;
}
}
#endif
kind = __Pyx_PyUnicode_KIND(s1);
if (kind != __Pyx_PyUnicode_KIND(s2)) {
goto return_ne;
}
data1 = __Pyx_PyUnicode_DATA(s1);
data2 = __Pyx_PyUnicode_DATA(s2);
if (__Pyx_PyUnicode_READ(kind, data1, 0) != __Pyx_PyUnicode_READ(kind, data2, 0)) {
goto return_ne;
} else if (length == 1) {
goto return_eq;
} else {
int result = memcmp(data1, data2, (size_t)(length * kind));
#if PY_MAJOR_VERSION < 3
Py_XDECREF(owned_ref);
#endif
return (equals == Py_EQ) ? (result == 0) : (result != 0);
}
} else if ((s1 == Py_None) & s2_is_unicode) {
goto return_ne;
} else if ((s2 == Py_None) & s1_is_unicode) {
goto return_ne;
} else {
int result;
PyObject* py_result = PyObject_RichCompare(s1, s2, equals);
#if PY_MAJOR_VERSION < 3
Py_XDECREF(owned_ref);
#endif
if (!py_result)
return -1;
result = __Pyx_PyObject_IsTrue(py_result);
Py_DECREF(py_result);
return result;
}
return_eq:
#if PY_MAJOR_VERSION < 3
Py_XDECREF(owned_ref);
#endif
return (equals == Py_EQ);
return_ne:
#if PY_MAJOR_VERSION < 3
Py_XDECREF(owned_ref);
#endif
return (equals == Py_NE);
#endif
}
/* None */
static CYTHON_INLINE Py_ssize_t __Pyx_div_Py_ssize_t(Py_ssize_t a, Py_ssize_t b) {
Py_ssize_t q = a / b;
Py_ssize_t r = a - q*b;
q -= ((r != 0) & ((r ^ b) < 0));
return q;
}
/* GetAttr */
static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *o, PyObject *n) {
#if CYTHON_USE_TYPE_SLOTS
#if PY_MAJOR_VERSION >= 3
if (likely(PyUnicode_Check(n)))
#else
if (likely(PyString_Check(n)))
#endif
return __Pyx_PyObject_GetAttrStr(o, n);
#endif
return PyObject_GetAttr(o, n);
}
/* GetItemInt */
static PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j) {
PyObject *r;
if (!j) return NULL;
r = PyObject_GetItem(o, j);
Py_DECREF(j);
return r;
}
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i,
CYTHON_NCP_UNUSED int wraparound,
CYTHON_NCP_UNUSED int boundscheck) {
#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
Py_ssize_t wrapped_i = i;
if (wraparound & unlikely(i < 0)) {
wrapped_i += PyList_GET_SIZE(o);
}
if ((!boundscheck) || likely(__Pyx_is_valid_index(wrapped_i, PyList_GET_SIZE(o)))) {
PyObject *r = PyList_GET_ITEM(o, wrapped_i);
Py_INCREF(r);
return r;
}
return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
#else
return PySequence_GetItem(o, i);
#endif
}
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i,
CYTHON_NCP_UNUSED int wraparound,
CYTHON_NCP_UNUSED int boundscheck) {
#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
Py_ssize_t wrapped_i = i;
if (wraparound & unlikely(i < 0)) {
wrapped_i += PyTuple_GET_SIZE(o);
}
if ((!boundscheck) || likely(__Pyx_is_valid_index(wrapped_i, PyTuple_GET_SIZE(o)))) {
PyObject *r = PyTuple_GET_ITEM(o, wrapped_i);
Py_INCREF(r);
return r;
}
return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
#else
return PySequence_GetItem(o, i);
#endif
}
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i, int is_list,
CYTHON_NCP_UNUSED int wraparound,
CYTHON_NCP_UNUSED int boundscheck) {
#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS && CYTHON_USE_TYPE_SLOTS
if (is_list || PyList_CheckExact(o)) {
Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyList_GET_SIZE(o);
if ((!boundscheck) || (likely(__Pyx_is_valid_index(n, PyList_GET_SIZE(o))))) {
PyObject *r = PyList_GET_ITEM(o, n);
Py_INCREF(r);
return r;
}
}
else if (PyTuple_CheckExact(o)) {
Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyTuple_GET_SIZE(o);
if ((!boundscheck) || likely(__Pyx_is_valid_index(n, PyTuple_GET_SIZE(o)))) {
PyObject *r = PyTuple_GET_ITEM(o, n);
Py_INCREF(r);
return r;
}
} else {
PySequenceMethods *m = Py_TYPE(o)->tp_as_sequence;
if (likely(m && m->sq_item)) {
if (wraparound && unlikely(i < 0) && likely(m->sq_length)) {
Py_ssize_t l = m->sq_length(o);
if (likely(l >= 0)) {
i += l;
} else {
if (!PyErr_ExceptionMatches(PyExc_OverflowError))
return NULL;
PyErr_Clear();
}
}
return m->sq_item(o, i);
}
}
#else
if (is_list || PySequence_Check(o)) {
return PySequence_GetItem(o, i);
}
#endif
return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
}
/* ObjectGetItem */
#if CYTHON_USE_TYPE_SLOTS
static PyObject *__Pyx_PyObject_GetIndex(PyObject *obj, PyObject* index) {
PyObject *runerr;
Py_ssize_t key_value;
PySequenceMethods *m = Py_TYPE(obj)->tp_as_sequence;
if (unlikely(!(m && m->sq_item))) {
PyErr_Format(PyExc_TypeError, "'%.200s' object is not subscriptable", Py_TYPE(obj)->tp_name);
return NULL;
}
key_value = __Pyx_PyIndex_AsSsize_t(index);
if (likely(key_value != -1 || !(runerr = PyErr_Occurred()))) {
return __Pyx_GetItemInt_Fast(obj, key_value, 0, 1, 1);
}
if (PyErr_GivenExceptionMatches(runerr, PyExc_OverflowError)) {
PyErr_Clear();
PyErr_Format(PyExc_IndexError, "cannot fit '%.200s' into an index-sized integer", Py_TYPE(index)->tp_name);
}
return NULL;
}
static PyObject *__Pyx_PyObject_GetItem(PyObject *obj, PyObject* key) {
PyMappingMethods *m = Py_TYPE(obj)->tp_as_mapping;
if (likely(m && m->mp_subscript)) {
return m->mp_subscript(obj, key);
}
return __Pyx_PyObject_GetIndex(obj, key);
}
#endif
/* decode_c_string */
static CYTHON_INLINE PyObject* __Pyx_decode_c_string(
const char* cstring, Py_ssize_t start, Py_ssize_t stop,
const char* encoding, const char* errors,
PyObject* (*decode_func)(const char *s, Py_ssize_t size, const char *errors)) {
Py_ssize_t length;
if (unlikely((start < 0) | (stop < 0))) {
size_t slen = strlen(cstring);
if (unlikely(slen > (size_t) PY_SSIZE_T_MAX)) {
PyErr_SetString(PyExc_OverflowError,
"c-string too long to convert to Python");
return NULL;
}
length = (Py_ssize_t) slen;
if (start < 0) {
start += length;
if (start < 0)
start = 0;
}
if (stop < 0)
stop += length;
}
if (unlikely(stop <= start))
return __Pyx_NewRef(__pyx_empty_unicode);
length = stop - start;
cstring += start;
if (decode_func) {
return decode_func(cstring, length, errors);
} else {
return PyUnicode_Decode(cstring, length, encoding, errors);
}
}
/* 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);
}
/* 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;
}
/* 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);
}
/* None */
static CYTHON_INLINE long __Pyx_div_long(long a, long b) {
long q = a / b;
long r = a - q*b;
q -= ((r != 0) & ((r ^ b) < 0));
return q;
}
/* 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;
}
/* TypeImport */
#ifndef __PYX_HAVE_RT_ImportType
#define __PYX_HAVE_RT_ImportType
static PyTypeObject *__Pyx_ImportType(PyObject *module, const char *module_name, const char *class_name,
size_t size, enum __Pyx_ImportType_CheckSize check_size)
{
PyObject *result = 0;
char warning[200];
Py_ssize_t basicsize;
#ifdef Py_LIMITED_API
PyObject *py_basicsize;
#endif
result = PyObject_GetAttrString(module, class_name);
if (!result)
goto bad;
if (!PyType_Check(result)) {
PyErr_Format(PyExc_TypeError,
"%.200s.%.200s is not a type object",
module_name, class_name);
goto bad;
}
#ifndef Py_LIMITED_API
basicsize = ((PyTypeObject *)result)->tp_basicsize;
#else
py_basicsize = PyObject_GetAttrString(result, "__basicsize__");
if (!py_basicsize)
goto bad;
basicsize = PyLong_AsSsize_t(py_basicsize);
Py_DECREF(py_basicsize);
py_basicsize = 0;
if (basicsize == (Py_ssize_t)-1 && PyErr_Occurred())
goto bad;
#endif
if ((size_t)basicsize < size) {
PyErr_Format(PyExc_ValueError,
"%.200s.%.200s size changed, may indicate binary incompatibility. "
"Expected %zd from C header, got %zd from PyObject",
module_name, class_name, size, basicsize);
goto bad;
}
if (check_size == __Pyx_ImportType_CheckSize_Error && (size_t)basicsize != size) {
PyErr_Format(PyExc_ValueError,
"%.200s.%.200s size changed, may indicate binary incompatibility. "
"Expected %zd from C header, got %zd from PyObject",
module_name, class_name, size, basicsize);
goto bad;
}
else if (check_size == __Pyx_ImportType_CheckSize_Warn && (size_t)basicsize > size) {
PyOS_snprintf(warning, sizeof(warning),
"%s.%s size changed, may indicate binary incompatibility. "
"Expected %zd from C header, got %zd from PyObject",
module_name, class_name, size, basicsize);
if (PyErr_WarnEx(NULL, warning, 0) < 0) goto bad;
}
return (PyTypeObject *)result;
bad:
Py_XDECREF(result);
return NULL;
}
#endif
/* 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);
}
/* Declarations */
#if CYTHON_CCOMPLEX
#ifdef __cplusplus
static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) {
return ::std::complex< double >(x, y);
}
#else
static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) {
return x + y*(__pyx_t_double_complex)_Complex_I;
}
#endif
#else
static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) {
__pyx_t_double_complex z;
z.real = x;
z.imag = y;
return z;
}
#endif
/* Arithmetic */
#if CYTHON_CCOMPLEX
#else
static CYTHON_INLINE int __Pyx_c_eq_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {
return (a.real == b.real) && (a.imag == b.imag);
}
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {
__pyx_t_double_complex z;
z.real = a.real + b.real;
z.imag = a.imag + b.imag;
return z;
}
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {
__pyx_t_double_complex z;
z.real = a.real - b.real;
z.imag = a.imag - b.imag;
return z;
}
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {
__pyx_t_double_complex z;
z.real = a.real * b.real - a.imag * b.imag;
z.imag = a.real * b.imag + a.imag * b.real;
return z;
}
#if 1
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {
if (b.imag == 0) {
return __pyx_t_double_complex_from_parts(a.real / b.real, a.imag / b.real);
} else if (fabs(b.real) >= fabs(b.imag)) {
if (b.real == 0 && b.imag == 0) {
return __pyx_t_double_complex_from_parts(a.real / b.real, a.imag / b.imag);
} else {
double r = b.imag / b.real;
double s = (double)(1.0) / (b.real + b.imag * r);
return __pyx_t_double_complex_from_parts(
(a.real + a.imag * r) * s, (a.imag - a.real * r) * s);
}
} else {
double r = b.real / b.imag;
double s = (double)(1.0) / (b.imag + b.real * r);
return __pyx_t_double_complex_from_parts(
(a.real * r + a.imag) * s, (a.imag * r - a.real) * s);
}
}
#else
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {
if (b.imag == 0) {
return __pyx_t_double_complex_from_parts(a.real / b.real, a.imag / b.real);
} else {
double denom = b.real * b.real + b.imag * b.imag;
return __pyx_t_double_complex_from_parts(
(a.real * b.real + a.imag * b.imag) / denom,
(a.imag * b.real - a.real * b.imag) / denom);
}
}
#endif
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg_double(__pyx_t_double_complex a) {
__pyx_t_double_complex z;
z.real = -a.real;
z.imag = -a.imag;
return z;
}
static CYTHON_INLINE int __Pyx_c_is_zero_double(__pyx_t_double_complex a) {
return (a.real == 0) && (a.imag == 0);
}
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj_double(__pyx_t_double_complex a) {
__pyx_t_double_complex z;
z.real = a.real;
z.imag = -a.imag;
return z;
}
#if 1
static CYTHON_INLINE double __Pyx_c_abs_double(__pyx_t_double_complex z) {
#if !defined(HAVE_HYPOT) || defined(_MSC_VER)
return sqrt(z.real*z.real + z.imag*z.imag);
#else
return hypot(z.real, z.imag);
#endif
}
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {
__pyx_t_double_complex z;
double r, lnr, theta, z_r, z_theta;
if (b.imag == 0 && b.real == (int)b.real) {
if (b.real < 0) {
double denom = a.real * a.real + a.imag * a.imag;
a.real = a.real / denom;
a.imag = -a.imag / denom;
b.real = -b.real;
}
switch ((int)b.real) {
case 0:
z.real = 1;
z.imag = 0;
return z;
case 1:
return a;
case 2:
return __Pyx_c_prod_double(a, a);
case 3:
z = __Pyx_c_prod_double(a, a);
return __Pyx_c_prod_double(z, a);
case 4:
z = __Pyx_c_prod_double(a, a);
return __Pyx_c_prod_double(z, z);
}
}
if (a.imag == 0) {
if (a.real == 0) {
return a;
} else if (b.imag == 0) {
z.real = pow(a.real, b.real);
z.imag = 0;
return z;
} else if (a.real > 0) {
r = a.real;
theta = 0;
} else {
r = -a.real;
theta = atan2(0.0, -1.0);
}
} else {
r = __Pyx_c_abs_double(a);
theta = atan2(a.imag, a.real);
}
lnr = log(r);
z_r = exp(lnr * b.real - theta * b.imag);
z_theta = theta * b.real + lnr * b.imag;
z.real = z_r * cos(z_theta);
z.imag = z_r * sin(z_theta);
return z;
}
#endif
#endif
#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;
}
/* 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;\
}
/* IsLittleEndian */
static CYTHON_INLINE int __Pyx_Is_Little_Endian(void)
{
union {
uint32_t u32;
uint8_t u8[4];
} S;
S.u32 = 0x01020304;
return S.u8[0] == 4;
}
/* BufferFormatCheck */
static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx,
__Pyx_BufFmt_StackElem* stack,
__Pyx_TypeInfo* type) {
stack[0].field = &ctx->root;
stack[0].parent_offset = 0;
ctx->root.type = type;
ctx->root.name = "buffer dtype";
ctx->root.offset = 0;
ctx->head = stack;
ctx->head->field = &ctx->root;
ctx->fmt_offset = 0;
ctx->head->parent_offset = 0;
ctx->new_packmode = '@';
ctx->enc_packmode = '@';
ctx->new_count = 1;
ctx->enc_count = 0;
ctx->enc_type = 0;
ctx->is_complex = 0;
ctx->is_valid_array = 0;
ctx->struct_alignment = 0;
while (type->typegroup == 'S') {
++ctx->head;
ctx->head->field = type->fields;
ctx->head->parent_offset = 0;
type = type->fields->type;
}
}
static int __Pyx_BufFmt_ParseNumber(const char** ts) {
int count;
const char* t = *ts;
if (*t < '0' || *t > '9') {
return -1;
} else {
count = *t++ - '0';
while (*t >= '0' && *t <= '9') {
count *= 10;
count += *t++ - '0';
}
}
*ts = t;
return count;
}
static int __Pyx_BufFmt_ExpectNumber(const char **ts) {
int number = __Pyx_BufFmt_ParseNumber(ts);
if (number == -1)
PyErr_Format(PyExc_ValueError,\
"Does not understand character buffer dtype format string ('%c')", **ts);
return number;
}
static void __Pyx_BufFmt_RaiseUnexpectedChar(char ch) {
PyErr_Format(PyExc_ValueError,
"Unexpected format string character: '%c'", ch);
}
static const char* __Pyx_BufFmt_DescribeTypeChar(char ch, int is_complex) {
switch (ch) {
case '?': return "'bool'";
case 'c': return "'char'";
case 'b': return "'signed char'";
case 'B': return "'unsigned char'";
case 'h': return "'short'";
case 'H': return "'unsigned short'";
case 'i': return "'int'";
case 'I': return "'unsigned int'";
case 'l': return "'long'";
case 'L': return "'unsigned long'";
case 'q': return "'long long'";
case 'Q': return "'unsigned long long'";
case 'f': return (is_complex ? "'complex float'" : "'float'");
case 'd': return (is_complex ? "'complex double'" : "'double'");
case 'g': return (is_complex ? "'complex long double'" : "'long double'");
case 'T': return "a struct";
case 'O': return "Python object";
case 'P': return "a pointer";
case 's': case 'p': return "a string";
case 0: return "end";
default: return "unparseable format string";
}
}
static size_t __Pyx_BufFmt_TypeCharToStandardSize(char ch, int is_complex) {
switch (ch) {
case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;
case 'h': case 'H': return 2;
case 'i': case 'I': case 'l': case 'L': return 4;
case 'q': case 'Q': return 8;
case 'f': return (is_complex ? 8 : 4);
case 'd': return (is_complex ? 16 : 8);
case 'g': {
PyErr_SetString(PyExc_ValueError, "Python does not define a standard format string size for long double ('g')..");
return 0;
}
case 'O': case 'P': return sizeof(void*);
default:
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
return 0;
}
}
static size_t __Pyx_BufFmt_TypeCharToNativeSize(char ch, int is_complex) {
switch (ch) {
case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;
case 'h': case 'H': return sizeof(short);
case 'i': case 'I': return sizeof(int);
case 'l': case 'L': return sizeof(long);
#ifdef HAVE_LONG_LONG
case 'q': case 'Q': return sizeof(PY_LONG_LONG);
#endif
case 'f': return sizeof(float) * (is_complex ? 2 : 1);
case 'd': return sizeof(double) * (is_complex ? 2 : 1);
case 'g': return sizeof(long double) * (is_complex ? 2 : 1);
case 'O': case 'P': return sizeof(void*);
default: {
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
return 0;
}
}
}
typedef struct { char c; short x; } __Pyx_st_short;
typedef struct { char c; int x; } __Pyx_st_int;
typedef struct { char c; long x; } __Pyx_st_long;
typedef struct { char c; float x; } __Pyx_st_float;
typedef struct { char c; double x; } __Pyx_st_double;
typedef struct { char c; long double x; } __Pyx_st_longdouble;
typedef struct { char c; void *x; } __Pyx_st_void_p;
#ifdef HAVE_LONG_LONG
typedef struct { char c; PY_LONG_LONG x; } __Pyx_st_longlong;
#endif
static size_t __Pyx_BufFmt_TypeCharToAlignment(char ch, CYTHON_UNUSED int is_complex) {
switch (ch) {
case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;
case 'h': case 'H': return sizeof(__Pyx_st_short) - sizeof(short);
case 'i': case 'I': return sizeof(__Pyx_st_int) - sizeof(int);
case 'l': case 'L': return sizeof(__Pyx_st_long) - sizeof(long);
#ifdef HAVE_LONG_LONG
case 'q': case 'Q': return sizeof(__Pyx_st_longlong) - sizeof(PY_LONG_LONG);
#endif
case 'f': return sizeof(__Pyx_st_float) - sizeof(float);
case 'd': return sizeof(__Pyx_st_double) - sizeof(double);
case 'g': return sizeof(__Pyx_st_longdouble) - sizeof(long double);
case 'P': case 'O': return sizeof(__Pyx_st_void_p) - sizeof(void*);
default:
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
return 0;
}
}
/* These are for computing the padding at the end of the struct to align
on the first member of the struct. This will probably the same as above,
but we don't have any guarantees.
*/
typedef struct { short x; char c; } __Pyx_pad_short;
typedef struct { int x; char c; } __Pyx_pad_int;
typedef struct { long x; char c; } __Pyx_pad_long;
typedef struct { float x; char c; } __Pyx_pad_float;
typedef struct { double x; char c; } __Pyx_pad_double;
typedef struct { long double x; char c; } __Pyx_pad_longdouble;
typedef struct { void *x; char c; } __Pyx_pad_void_p;
#ifdef HAVE_LONG_LONG
typedef struct { PY_LONG_LONG x; char c; } __Pyx_pad_longlong;
#endif
static size_t __Pyx_BufFmt_TypeCharToPadding(char ch, CYTHON_UNUSED int is_complex) {
switch (ch) {
case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;
case 'h': case 'H': return sizeof(__Pyx_pad_short) - sizeof(short);
case 'i': case 'I': return sizeof(__Pyx_pad_int) - sizeof(int);
case 'l': case 'L': return sizeof(__Pyx_pad_long) - sizeof(long);
#ifdef HAVE_LONG_LONG
case 'q': case 'Q': return sizeof(__Pyx_pad_longlong) - sizeof(PY_LONG_LONG);
#endif
case 'f': return sizeof(__Pyx_pad_float) - sizeof(float);
case 'd': return sizeof(__Pyx_pad_double) - sizeof(double);
case 'g': return sizeof(__Pyx_pad_longdouble) - sizeof(long double);
case 'P': case 'O': return sizeof(__Pyx_pad_void_p) - sizeof(void*);
default:
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
return 0;
}
}
static char __Pyx_BufFmt_TypeCharToGroup(char ch, int is_complex) {
switch (ch) {
case 'c':
return 'H';
case 'b': case 'h': case 'i':
case 'l': case 'q': case 's': case 'p':
return 'I';
case '?': case 'B': case 'H': case 'I': case 'L': case 'Q':
return 'U';
case 'f': case 'd': case 'g':
return (is_complex ? 'C' : 'R');
case 'O':
return 'O';
case 'P':
return 'P';
default: {
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
return 0;
}
}
}
static void __Pyx_BufFmt_RaiseExpected(__Pyx_BufFmt_Context* ctx) {
if (ctx->head == NULL || ctx->head->field == &ctx->root) {
const char* expected;
const char* quote;
if (ctx->head == NULL) {
expected = "end";
quote = "";
} else {
expected = ctx->head->field->type->name;
quote = "'";
}
PyErr_Format(PyExc_ValueError,
"Buffer dtype mismatch, expected %s%s%s but got %s",
quote, expected, quote,
__Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex));
} else {
__Pyx_StructField* field = ctx->head->field;
__Pyx_StructField* parent = (ctx->head - 1)->field;
PyErr_Format(PyExc_ValueError,
"Buffer dtype mismatch, expected '%s' but got %s in '%s.%s'",
field->type->name, __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex),
parent->type->name, field->name);
}
}
static int __Pyx_BufFmt_ProcessTypeChunk(__Pyx_BufFmt_Context* ctx) {
char group;
size_t size, offset, arraysize = 1;
if (ctx->enc_type == 0) return 0;
if (ctx->head->field->type->arraysize[0]) {
int i, ndim = 0;
if (ctx->enc_type == 's' || ctx->enc_type == 'p') {
ctx->is_valid_array = ctx->head->field->type->ndim == 1;
ndim = 1;
if (ctx->enc_count != ctx->head->field->type->arraysize[0]) {
PyErr_Format(PyExc_ValueError,
"Expected a dimension of size %zu, got %zu",
ctx->head->field->type->arraysize[0], ctx->enc_count);
return -1;
}
}
if (!ctx->is_valid_array) {
PyErr_Format(PyExc_ValueError, "Expected %d dimensions, got %d",
ctx->head->field->type->ndim, ndim);
return -1;
}
for (i = 0; i < ctx->head->field->type->ndim; i++) {
arraysize *= ctx->head->field->type->arraysize[i];
}
ctx->is_valid_array = 0;
ctx->enc_count = 1;
}
group = __Pyx_BufFmt_TypeCharToGroup(ctx->enc_type, ctx->is_complex);
do {
__Pyx_StructField* field = ctx->head->field;
__Pyx_TypeInfo* type = field->type;
if (ctx->enc_packmode == '@' || ctx->enc_packmode == '^') {
size = __Pyx_BufFmt_TypeCharToNativeSize(ctx->enc_type, ctx->is_complex);
} else {
size = __Pyx_BufFmt_TypeCharToStandardSize(ctx->enc_type, ctx->is_complex);
}
if (ctx->enc_packmode == '@') {
size_t align_at = __Pyx_BufFmt_TypeCharToAlignment(ctx->enc_type, ctx->is_complex);
size_t align_mod_offset;
if (align_at == 0) return -1;
align_mod_offset = ctx->fmt_offset % align_at;
if (align_mod_offset > 0) ctx->fmt_offset += align_at - align_mod_offset;
if (ctx->struct_alignment == 0)
ctx->struct_alignment = __Pyx_BufFmt_TypeCharToPadding(ctx->enc_type,
ctx->is_complex);
}
if (type->size != size || type->typegroup != group) {
if (type->typegroup == 'C' && type->fields != NULL) {
size_t parent_offset = ctx->head->parent_offset + field->offset;
++ctx->head;
ctx->head->field = type->fields;
ctx->head->parent_offset = parent_offset;
continue;
}
if ((type->typegroup == 'H' || group == 'H') && type->size == size) {
} else {
__Pyx_BufFmt_RaiseExpected(ctx);
return -1;
}
}
offset = ctx->head->parent_offset + field->offset;
if (ctx->fmt_offset != offset) {
PyErr_Format(PyExc_ValueError,
"Buffer dtype mismatch; next field is at offset %" CYTHON_FORMAT_SSIZE_T "d but %" CYTHON_FORMAT_SSIZE_T "d expected",
(Py_ssize_t)ctx->fmt_offset, (Py_ssize_t)offset);
return -1;
}
ctx->fmt_offset += size;
if (arraysize)
ctx->fmt_offset += (arraysize - 1) * size;
--ctx->enc_count;
while (1) {
if (field == &ctx->root) {
ctx->head = NULL;
if (ctx->enc_count != 0) {
__Pyx_BufFmt_RaiseExpected(ctx);
return -1;
}
break;
}
ctx->head->field = ++field;
if (field->type == NULL) {
--ctx->head;
field = ctx->head->field;
continue;
} else if (field->type->typegroup == 'S') {
size_t parent_offset = ctx->head->parent_offset + field->offset;
if (field->type->fields->type == NULL) continue;
field = field->type->fields;
++ctx->head;
ctx->head->field = field;
ctx->head->parent_offset = parent_offset;
break;
} else {
break;
}
}
} while (ctx->enc_count);
ctx->enc_type = 0;
ctx->is_complex = 0;
return 0;
}
static PyObject *
__pyx_buffmt_parse_array(__Pyx_BufFmt_Context* ctx, const char** tsp)
{
const char *ts = *tsp;
int i = 0, number, ndim;
++ts;
if (ctx->new_count != 1) {
PyErr_SetString(PyExc_ValueError,
"Cannot handle repeated arrays in format string");
return NULL;
}
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
ndim = ctx->head->field->type->ndim;
while (*ts && *ts != ')') {
switch (*ts) {
case ' ': case '\f': case '\r': case '\n': case '\t': case '\v': continue;
default: break;
}
number = __Pyx_BufFmt_ExpectNumber(&ts);
if (number == -1) return NULL;
if (i < ndim && (size_t) number != ctx->head->field->type->arraysize[i])
return PyErr_Format(PyExc_ValueError,
"Expected a dimension of size %zu, got %d",
ctx->head->field->type->arraysize[i], number);
if (*ts != ',' && *ts != ')')
return PyErr_Format(PyExc_ValueError,
"Expected a comma in format string, got '%c'", *ts);
if (*ts == ',') ts++;
i++;
}
if (i != ndim)
return PyErr_Format(PyExc_ValueError, "Expected %d dimension(s), got %d",
ctx->head->field->type->ndim, i);
if (!*ts) {
PyErr_SetString(PyExc_ValueError,
"Unexpected end of format string, expected ')'");
return NULL;
}
ctx->is_valid_array = 1;
ctx->new_count = 1;
*tsp = ++ts;
return Py_None;
}
static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts) {
int got_Z = 0;
while (1) {
switch(*ts) {
case 0:
if (ctx->enc_type != 0 && ctx->head == NULL) {
__Pyx_BufFmt_RaiseExpected(ctx);
return NULL;
}
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
if (ctx->head != NULL) {
__Pyx_BufFmt_RaiseExpected(ctx);
return NULL;
}
return ts;
case ' ':
case '\r':
case '\n':
++ts;
break;
case '<':
if (!__Pyx_Is_Little_Endian()) {
PyErr_SetString(PyExc_ValueError, "Little-endian buffer not supported on big-endian compiler");
return NULL;
}
ctx->new_packmode = '=';
++ts;
break;
case '>':
case '!':
if (__Pyx_Is_Little_Endian()) {
PyErr_SetString(PyExc_ValueError, "Big-endian buffer not supported on little-endian compiler");
return NULL;
}
ctx->new_packmode = '=';
++ts;
break;
case '=':
case '@':
case '^':
ctx->new_packmode = *ts++;
break;
case 'T':
{
const char* ts_after_sub;
size_t i, struct_count = ctx->new_count;
size_t struct_alignment = ctx->struct_alignment;
ctx->new_count = 1;
++ts;
if (*ts != '{') {
PyErr_SetString(PyExc_ValueError, "Buffer acquisition: Expected '{' after 'T'");
return NULL;
}
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
ctx->enc_type = 0;
ctx->enc_count = 0;
ctx->struct_alignment = 0;
++ts;
ts_after_sub = ts;
for (i = 0; i != struct_count; ++i) {
ts_after_sub = __Pyx_BufFmt_CheckString(ctx, ts);
if (!ts_after_sub) return NULL;
}
ts = ts_after_sub;
if (struct_alignment) ctx->struct_alignment = struct_alignment;
}
break;
case '}':
{
size_t alignment = ctx->struct_alignment;
++ts;
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
ctx->enc_type = 0;
if (alignment && ctx->fmt_offset % alignment) {
ctx->fmt_offset += alignment - (ctx->fmt_offset % alignment);
}
}
return ts;
case 'x':
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
ctx->fmt_offset += ctx->new_count;
ctx->new_count = 1;
ctx->enc_count = 0;
ctx->enc_type = 0;
ctx->enc_packmode = ctx->new_packmode;
++ts;
break;
case 'Z':
got_Z = 1;
++ts;
if (*ts != 'f' && *ts != 'd' && *ts != 'g') {
__Pyx_BufFmt_RaiseUnexpectedChar('Z');
return NULL;
}
CYTHON_FALLTHROUGH;
case '?': case 'c': case 'b': case 'B': case 'h': case 'H': case 'i': case 'I':
case 'l': case 'L': case 'q': case 'Q':
case 'f': case 'd': case 'g':
case 'O': case 'p':
if ((ctx->enc_type == *ts) && (got_Z == ctx->is_complex) &&
(ctx->enc_packmode == ctx->new_packmode) && (!ctx->is_valid_array)) {
ctx->enc_count += ctx->new_count;
ctx->new_count = 1;
got_Z = 0;
++ts;
break;
}
CYTHON_FALLTHROUGH;
case 's':
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
ctx->enc_count = ctx->new_count;
ctx->enc_packmode = ctx->new_packmode;
ctx->enc_type = *ts;
ctx->is_complex = got_Z;
++ts;
ctx->new_count = 1;
got_Z = 0;
break;
case ':':
++ts;
while(*ts != ':') ++ts;
++ts;
break;
case '(':
if (!__pyx_buffmt_parse_array(ctx, &ts)) return NULL;
break;
default:
{
int number = __Pyx_BufFmt_ExpectNumber(&ts);
if (number == -1) return NULL;
ctx->new_count = (size_t)number;
}
}
}
}
/* TypeInfoCompare */
static int
__pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b)
{
int i;
if (!a || !b)
return 0;
if (a == b)
return 1;
if (a->size != b->size || a->typegroup != b->typegroup ||
a->is_unsigned != b->is_unsigned || a->ndim != b->ndim) {
if (a->typegroup == 'H' || b->typegroup == 'H') {
return a->size == b->size;
} else {
return 0;
}
}
if (a->ndim) {
for (i = 0; i < a->ndim; i++)
if (a->arraysize[i] != b->arraysize[i])
return 0;
}
if (a->typegroup == 'S') {
if (a->flags != b->flags)
return 0;
if (a->fields || b->fields) {
if (!(a->fields && b->fields))
return 0;
for (i = 0; a->fields[i].type && b->fields[i].type; i++) {
__Pyx_StructField *field_a = a->fields + i;
__Pyx_StructField *field_b = b->fields + i;
if (field_a->offset != field_b->offset ||
!__pyx_typeinfo_cmp(field_a->type, field_b->type))
return 0;
}
return !a->fields[i].type && !b->fields[i].type;
}
}
return 1;
}
/* MemviewSliceValidateAndInit */
static int
__pyx_check_strides(Py_buffer *buf, int dim, int ndim, int spec)
{
if (buf->shape[dim] <= 1)
return 1;
if (buf->strides) {
if (spec & __Pyx_MEMVIEW_CONTIG) {
if (spec & (__Pyx_MEMVIEW_PTR|__Pyx_MEMVIEW_FULL)) {
if (unlikely(buf->strides[dim] != sizeof(void *))) {
PyErr_Format(PyExc_ValueError,
"Buffer is not indirectly contiguous "
"in dimension %d.", dim);
goto fail;
}
} else if (unlikely(buf->strides[dim] != buf->itemsize)) {
PyErr_SetString(PyExc_ValueError,
"Buffer and memoryview are not contiguous "
"in the same dimension.");
goto fail;
}
}
if (spec & __Pyx_MEMVIEW_FOLLOW) {
Py_ssize_t stride = buf->strides[dim];
if (stride < 0)
stride = -stride;
if (unlikely(stride < buf->itemsize)) {
PyErr_SetString(PyExc_ValueError,
"Buffer and memoryview are not contiguous "
"in the same dimension.");
goto fail;
}
}
} else {
if (unlikely(spec & __Pyx_MEMVIEW_CONTIG && dim != ndim - 1)) {
PyErr_Format(PyExc_ValueError,
"C-contiguous buffer is not contiguous in "
"dimension %d", dim);
goto fail;
} else if (unlikely(spec & (__Pyx_MEMVIEW_PTR))) {
PyErr_Format(PyExc_ValueError,
"C-contiguous buffer is not indirect in "
"dimension %d", dim);
goto fail;
} else if (unlikely(buf->suboffsets)) {
PyErr_SetString(PyExc_ValueError,
"Buffer exposes suboffsets but no strides");
goto fail;
}
}
return 1;
fail:
return 0;
}
static int
__pyx_check_suboffsets(Py_buffer *buf, int dim, CYTHON_UNUSED int ndim, int spec)
{
if (spec & __Pyx_MEMVIEW_DIRECT) {
if (unlikely(buf->suboffsets && buf->suboffsets[dim] >= 0)) {
PyErr_Format(PyExc_ValueError,
"Buffer not compatible with direct access "
"in dimension %d.", dim);
goto fail;
}
}
if (spec & __Pyx_MEMVIEW_PTR) {
if (unlikely(!buf->suboffsets || (buf->suboffsets[dim] < 0))) {
PyErr_Format(PyExc_ValueError,
"Buffer is not indirectly accessible "
"in dimension %d.", dim);
goto fail;
}
}
return 1;
fail:
return 0;
}
static int
__pyx_verify_contig(Py_buffer *buf, int ndim, int c_or_f_flag)
{
int i;
if (c_or_f_flag & __Pyx_IS_F_CONTIG) {
Py_ssize_t stride = 1;
for (i = 0; i < ndim; i++) {
if (unlikely(stride * buf->itemsize != buf->strides[i] && buf->shape[i] > 1)) {
PyErr_SetString(PyExc_ValueError,
"Buffer not fortran contiguous.");
goto fail;
}
stride = stride * buf->shape[i];
}
} else if (c_or_f_flag & __Pyx_IS_C_CONTIG) {
Py_ssize_t stride = 1;
for (i = ndim - 1; i >- 1; i--) {
if (unlikely(stride * buf->itemsize != buf->strides[i] && buf->shape[i] > 1)) {
PyErr_SetString(PyExc_ValueError,
"Buffer not C contiguous.");
goto fail;
}
stride = stride * buf->shape[i];
}
}
return 1;
fail:
return 0;
}
static int __Pyx_ValidateAndInit_memviewslice(
int *axes_specs,
int c_or_f_flag,
int buf_flags,
int ndim,
__Pyx_TypeInfo *dtype,
__Pyx_BufFmt_StackElem stack[],
__Pyx_memviewslice *memviewslice,
PyObject *original_obj)
{
struct __pyx_memoryview_obj *memview, *new_memview;
__Pyx_RefNannyDeclarations
Py_buffer *buf;
int i, spec = 0, retval = -1;
__Pyx_BufFmt_Context ctx;
int from_memoryview = __pyx_memoryview_check(original_obj);
__Pyx_RefNannySetupContext("ValidateAndInit_memviewslice", 0);
if (from_memoryview && __pyx_typeinfo_cmp(dtype, ((struct __pyx_memoryview_obj *)
original_obj)->typeinfo)) {
memview = (struct __pyx_memoryview_obj *) original_obj;
new_memview = NULL;
} else {
memview = (struct __pyx_memoryview_obj *) __pyx_memoryview_new(
original_obj, buf_flags, 0, dtype);
new_memview = memview;
if (unlikely(!memview))
goto fail;
}
buf = &memview->view;
if (unlikely(buf->ndim != ndim)) {
PyErr_Format(PyExc_ValueError,
"Buffer has wrong number of dimensions (expected %d, got %d)",
ndim, buf->ndim);
goto fail;
}
if (new_memview) {
__Pyx_BufFmt_Init(&ctx, stack, dtype);
if (unlikely(!__Pyx_BufFmt_CheckString(&ctx, buf->format))) goto fail;
}
if (unlikely((unsigned) buf->itemsize != dtype->size)) {
PyErr_Format(PyExc_ValueError,
"Item size of buffer (%" CYTHON_FORMAT_SSIZE_T "u byte%s) "
"does not match size of '%s' (%" CYTHON_FORMAT_SSIZE_T "u byte%s)",
buf->itemsize,
(buf->itemsize > 1) ? "s" : "",
dtype->name,
dtype->size,
(dtype->size > 1) ? "s" : "");
goto fail;
}
if (buf->len > 0) {
for (i = 0; i < ndim; i++) {
spec = axes_specs[i];
if (unlikely(!__pyx_check_strides(buf, i, ndim, spec)))
goto fail;
if (unlikely(!__pyx_check_suboffsets(buf, i, ndim, spec)))
goto fail;
}
if (unlikely(buf->strides && !__pyx_verify_contig(buf, ndim, c_or_f_flag)))
goto fail;
}
if (unlikely(__Pyx_init_memviewslice(memview, ndim, memviewslice,
new_memview != NULL) == -1)) {
goto fail;
}
retval = 0;
goto no_fail;
fail:
Py_XDECREF(new_memview);
retval = -1;
no_fail:
__Pyx_RefNannyFinishContext();
return retval;
}
/* ObjectToMemviewSlice */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_ds___pyx_t_double_complex(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___pyx_t_double_complex, stack,
&result, obj);
if (unlikely(retcode == -1))
goto __pyx_fail;
return result;
__pyx_fail:
result.memview = NULL;
result.data = NULL;
return result;
}
/* FromPy */
static __pyx_t_double_complex __Pyx_PyComplex_As___pyx_t_double_complex(PyObject* o) {
Py_complex cval;
#if !CYTHON_COMPILING_IN_PYPY
if (PyComplex_CheckExact(o))
cval = ((PyComplexObject *)o)->cval;
else
#endif
cval = PyComplex_AsCComplex(o);
return __pyx_t_double_complex_from_parts(
(double)cval.real,
(double)cval.imag);
}
/* MemviewDtypeToObject */
static CYTHON_INLINE PyObject *__pyx_memview_get___pyx_t_double_complex(const char *itemp) {
return (PyObject *) __pyx_PyComplex_FromComplex(*(__pyx_t_double_complex *) itemp);
}
static CYTHON_INLINE int __pyx_memview_set___pyx_t_double_complex(const char *itemp, PyObject *obj) {
__pyx_t_double_complex value = __Pyx_PyComplex_As___pyx_t_double_complex(obj);
if (PyErr_Occurred())
return 0;
*(__pyx_t_double_complex *) itemp = value;
return 1;
}
/* 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;
}
/* MemviewDtypeToObject */
static CYTHON_INLINE PyObject *__pyx_memview_get_int(const char *itemp) {
return (PyObject *) __Pyx_PyInt_From_int(*(int *) itemp);
}
static CYTHON_INLINE int __pyx_memview_set_int(const char *itemp, PyObject *obj) {
int value = __Pyx_PyInt_As_int(obj);
if ((value == (int)-1) && PyErr_Occurred())
return 0;
*(int *) itemp = value;
return 1;
}
/* Declarations */
#if CYTHON_CCOMPLEX
#ifdef __cplusplus
static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) {
return ::std::complex< float >(x, y);
}
#else
static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) {
return x + y*(__pyx_t_float_complex)_Complex_I;
}
#endif
#else
static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) {
__pyx_t_float_complex z;
z.real = x;
z.imag = y;
return z;
}
#endif
/* Arithmetic */
#if CYTHON_CCOMPLEX
#else
static CYTHON_INLINE int __Pyx_c_eq_float(__pyx_t_float_complex a, __pyx_t_float_complex b) {
return (a.real == b.real) && (a.imag == b.imag);
}
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_sum_float(__pyx_t_float_complex a, __pyx_t_float_complex b) {
__pyx_t_float_complex z;
z.real = a.real + b.real;
z.imag = a.imag + b.imag;
return z;
}
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_diff_float(__pyx_t_float_complex a, __pyx_t_float_complex b) {
__pyx_t_float_complex z;
z.real = a.real - b.real;
z.imag = a.imag - b.imag;
return z;
}
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_prod_float(__pyx_t_float_complex a, __pyx_t_float_complex b) {
__pyx_t_float_complex z;
z.real = a.real * b.real - a.imag * b.imag;
z.imag = a.real * b.imag + a.imag * b.real;
return z;
}
#if 1
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quot_float(__pyx_t_float_complex a, __pyx_t_float_complex b) {
if (b.imag == 0) {
return __pyx_t_float_complex_from_parts(a.real / b.real, a.imag / b.real);
} else if (fabsf(b.real) >= fabsf(b.imag)) {
if (b.real == 0 && b.imag == 0) {
return __pyx_t_float_complex_from_parts(a.real / b.real, a.imag / b.imag);
} else {
float r = b.imag / b.real;
float s = (float)(1.0) / (b.real + b.imag * r);
return __pyx_t_float_complex_from_parts(
(a.real + a.imag * r) * s, (a.imag - a.real * r) * s);
}
} else {
float r = b.real / b.imag;
float s = (float)(1.0) / (b.imag + b.real * r);
return __pyx_t_float_complex_from_parts(
(a.real * r + a.imag) * s, (a.imag * r - a.real) * s);
}
}
#else
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quot_float(__pyx_t_float_complex a, __pyx_t_float_complex b) {
if (b.imag == 0) {
return __pyx_t_float_complex_from_parts(a.real / b.real, a.imag / b.real);
} else {
float denom = b.real * b.real + b.imag * b.imag;
return __pyx_t_float_complex_from_parts(
(a.real * b.real + a.imag * b.imag) / denom,
(a.imag * b.real - a.real * b.imag) / denom);
}
}
#endif
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_neg_float(__pyx_t_float_complex a) {
__pyx_t_float_complex z;
z.real = -a.real;
z.imag = -a.imag;
return z;
}
static CYTHON_INLINE int __Pyx_c_is_zero_float(__pyx_t_float_complex a) {
return (a.real == 0) && (a.imag == 0);
}
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conj_float(__pyx_t_float_complex a) {
__pyx_t_float_complex z;
z.real = a.real;
z.imag = -a.imag;
return z;
}
#if 1
static CYTHON_INLINE float __Pyx_c_abs_float(__pyx_t_float_complex z) {
#if !defined(HAVE_HYPOT) || defined(_MSC_VER)
return sqrtf(z.real*z.real + z.imag*z.imag);
#else
return hypotf(z.real, z.imag);
#endif
}
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_pow_float(__pyx_t_float_complex a, __pyx_t_float_complex b) {
__pyx_t_float_complex z;
float r, lnr, theta, z_r, z_theta;
if (b.imag == 0 && b.real == (int)b.real) {
if (b.real < 0) {
float denom = a.real * a.real + a.imag * a.imag;
a.real = a.real / denom;
a.imag = -a.imag / denom;
b.real = -b.real;
}
switch ((int)b.real) {
case 0:
z.real = 1;
z.imag = 0;
return z;
case 1:
return a;
case 2:
return __Pyx_c_prod_float(a, a);
case 3:
z = __Pyx_c_prod_float(a, a);
return __Pyx_c_prod_float(z, a);
case 4:
z = __Pyx_c_prod_float(a, a);
return __Pyx_c_prod_float(z, z);
}
}
if (a.imag == 0) {
if (a.real == 0) {
return a;
} else if (b.imag == 0) {
z.real = powf(a.real, b.real);
z.imag = 0;
return z;
} else if (a.real > 0) {
r = a.real;
theta = 0;
} else {
r = -a.real;
theta = atan2f(0.0, -1.0);
}
} else {
r = __Pyx_c_abs_float(a);
theta = atan2f(a.imag, a.real);
}
lnr = logf(r);
z_r = expf(lnr * b.real - theta * b.imag);
z_theta = theta * b.real + lnr * b.imag;
z.real = z_r * cosf(z_theta);
z.imag = z_r * sinf(z_theta);
return z;
}
#endif
#endif
/* 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) {
#ifdef __Pyx_HAS_GCC_DIAGNOSTIC
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wconversion"
#endif
const int neg_one = (int) -1, const_zero = (int) 0;
#ifdef __Pyx_HAS_GCC_DIAGNOSTIC
#pragma GCC diagnostic pop
#endif
const int is_unsigned = neg_one > const_zero;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_Check(x))) {
if (sizeof(int) < sizeof(long)) {
__PYX_VERIFY_RETURN_INT(int, long, PyInt_AS_LONG(x))
} else {
long val = PyInt_AS_LONG(x);
if (is_unsigned && unlikely(val < 0)) {
goto raise_neg_overflow;
}
return (int) val;
}
} else
#endif
if (likely(PyLong_Check(x))) {
if (is_unsigned) {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (int) 0;
case 1: __PYX_VERIFY_RETURN_INT(int, digit, digits[0])
case 2:
if (8 * sizeof(int) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) >= 2 * PyLong_SHIFT) {
return (int) (((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));
}
}
break;
case 3:
if (8 * sizeof(int) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) >= 3 * PyLong_SHIFT) {
return (int) (((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));
}
}
break;
case 4:
if (8 * sizeof(int) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) >= 4 * PyLong_SHIFT) {
return (int) (((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));
}
}
break;
}
#endif
#if CYTHON_COMPILING_IN_CPYTHON
if (unlikely(Py_SIZE(x) < 0)) {
goto raise_neg_overflow;
}
#else
{
int result = PyObject_RichCompareBool(x, Py_False, Py_LT);
if (unlikely(result < 0))
return (int) -1;
if (unlikely(result == 1))
goto raise_neg_overflow;
}
#endif
if (sizeof(int) <= sizeof(unsigned long)) {
__PYX_VERIFY_RETURN_INT_EXC(int, unsigned long, PyLong_AsUnsignedLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(int, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
#endif
}
} else {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (int) 0;
case -1: __PYX_VERIFY_RETURN_INT(int, sdigit, (sdigit) (-(sdigit)digits[0]))
case 1: __PYX_VERIFY_RETURN_INT(int, digit, +digits[0])
case -2:
if (8 * sizeof(int) - 1 > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {
return (int) (((int)-1)*(((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case 2:
if (8 * sizeof(int) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {
return (int) ((((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case -3:
if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {
return (int) (((int)-1)*(((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case 3:
if (8 * sizeof(int) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {
return (int) ((((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case -4:
if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) {
return (int) (((int)-1)*(((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case 4:
if (8 * sizeof(int) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) {
return (int) ((((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
}
#endif
if (sizeof(int) <= sizeof(long)) {
__PYX_VERIFY_RETURN_INT_EXC(int, long, PyLong_AsLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(int) <= sizeof(PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(int, PY_LONG_LONG, PyLong_AsLongLong(x))
#endif
}
}
{
#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)
PyErr_SetString(PyExc_RuntimeError,
"_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers");
#else
int val;
PyObject *v = __Pyx_PyNumber_IntOrLong(x);
#if PY_MAJOR_VERSION < 3
if (likely(v) && !PyLong_Check(v)) {
PyObject *tmp = v;
v = PyNumber_Long(tmp);
Py_DECREF(tmp);
}
#endif
if (likely(v)) {
int one = 1; int is_little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&val;
int ret = _PyLong_AsByteArray((PyLongObject *)v,
bytes, sizeof(val),
is_little, !is_unsigned);
Py_DECREF(v);
if (likely(!ret))
return val;
}
#endif
return (int) -1;
}
} else {
int val;
PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);
if (!tmp) return (int) -1;
val = __Pyx_PyInt_As_int(tmp);
Py_DECREF(tmp);
return val;
}
raise_overflow:
PyErr_SetString(PyExc_OverflowError,
"value too large to convert to int");
return (int) -1;
raise_neg_overflow:
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to int");
return (int) -1;
}
/* CIntToPy */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value) {
#ifdef __Pyx_HAS_GCC_DIAGNOSTIC
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wconversion"
#endif
const int neg_one = (int) -1, const_zero = (int) 0;
#ifdef __Pyx_HAS_GCC_DIAGNOSTIC
#pragma GCC diagnostic pop
#endif
const int is_unsigned = neg_one > const_zero;
if (is_unsigned) {
if (sizeof(int) < sizeof(long)) {
return PyInt_FromLong((long) value);
} else if (sizeof(int) <= sizeof(unsigned long)) {
return PyLong_FromUnsignedLong((unsigned long) value);
#ifdef HAVE_LONG_LONG
} else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) {
return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);
#endif
}
} else {
if (sizeof(int) <= sizeof(long)) {
return PyInt_FromLong((long) value);
#ifdef HAVE_LONG_LONG
} else if (sizeof(int) <= sizeof(PY_LONG_LONG)) {
return PyLong_FromLongLong((PY_LONG_LONG) value);
#endif
}
}
{
int one = 1; int little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&value;
return _PyLong_FromByteArray(bytes, sizeof(int),
little, !is_unsigned);
}
}
/* CIntFromPy */
static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *x) {
#ifdef __Pyx_HAS_GCC_DIAGNOSTIC
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wconversion"
#endif
const long neg_one = (long) -1, const_zero = (long) 0;
#ifdef __Pyx_HAS_GCC_DIAGNOSTIC
#pragma GCC diagnostic pop
#endif
const int is_unsigned = neg_one > const_zero;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_Check(x))) {
if (sizeof(long) < sizeof(long)) {
__PYX_VERIFY_RETURN_INT(long, long, PyInt_AS_LONG(x))
} else {
long val = PyInt_AS_LONG(x);
if (is_unsigned && unlikely(val < 0)) {
goto raise_neg_overflow;
}
return (long) val;
}
} else
#endif
if (likely(PyLong_Check(x))) {
if (is_unsigned) {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (long) 0;
case 1: __PYX_VERIFY_RETURN_INT(long, digit, digits[0])
case 2:
if (8 * sizeof(long) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) >= 2 * PyLong_SHIFT) {
return (long) (((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));
}
}
break;
case 3:
if (8 * sizeof(long) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) >= 3 * PyLong_SHIFT) {
return (long) (((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));
}
}
break;
case 4:
if (8 * sizeof(long) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) >= 4 * PyLong_SHIFT) {
return (long) (((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));
}
}
break;
}
#endif
#if CYTHON_COMPILING_IN_CPYTHON
if (unlikely(Py_SIZE(x) < 0)) {
goto raise_neg_overflow;
}
#else
{
int result = PyObject_RichCompareBool(x, Py_False, Py_LT);
if (unlikely(result < 0))
return (long) -1;
if (unlikely(result == 1))
goto raise_neg_overflow;
}
#endif
if (sizeof(long) <= sizeof(unsigned long)) {
__PYX_VERIFY_RETURN_INT_EXC(long, unsigned long, PyLong_AsUnsignedLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(long, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
#endif
}
} else {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (long) 0;
case -1: __PYX_VERIFY_RETURN_INT(long, sdigit, (sdigit) (-(sdigit)digits[0]))
case 1: __PYX_VERIFY_RETURN_INT(long, digit, +digits[0])
case -2:
if (8 * sizeof(long) - 1 > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
return (long) (((long)-1)*(((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case 2:
if (8 * sizeof(long) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
return (long) ((((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case -3:
if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
return (long) (((long)-1)*(((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case 3:
if (8 * sizeof(long) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
return (long) ((((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case -4:
if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
return (long) (((long)-1)*(((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case 4:
if (8 * sizeof(long) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
return (long) ((((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
}
#endif
if (sizeof(long) <= sizeof(long)) {
__PYX_VERIFY_RETURN_INT_EXC(long, long, PyLong_AsLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(long) <= sizeof(PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(long, PY_LONG_LONG, PyLong_AsLongLong(x))
#endif
}
}
{
#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)
PyErr_SetString(PyExc_RuntimeError,
"_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers");
#else
long val;
PyObject *v = __Pyx_PyNumber_IntOrLong(x);
#if PY_MAJOR_VERSION < 3
if (likely(v) && !PyLong_Check(v)) {
PyObject *tmp = v;
v = PyNumber_Long(tmp);
Py_DECREF(tmp);
}
#endif
if (likely(v)) {
int one = 1; int is_little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&val;
int ret = _PyLong_AsByteArray((PyLongObject *)v,
bytes, sizeof(val),
is_little, !is_unsigned);
Py_DECREF(v);
if (likely(!ret))
return val;
}
#endif
return (long) -1;
}
} else {
long val;
PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);
if (!tmp) return (long) -1;
val = __Pyx_PyInt_As_long(tmp);
Py_DECREF(tmp);
return val;
}
raise_overflow:
PyErr_SetString(PyExc_OverflowError,
"value too large to convert to long");
return (long) -1;
raise_neg_overflow:
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to long");
return (long) -1;
}
/* CIntToPy */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value) {
#ifdef __Pyx_HAS_GCC_DIAGNOSTIC
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wconversion"
#endif
const long neg_one = (long) -1, const_zero = (long) 0;
#ifdef __Pyx_HAS_GCC_DIAGNOSTIC
#pragma GCC diagnostic pop
#endif
const int is_unsigned = neg_one > const_zero;
if (is_unsigned) {
if (sizeof(long) < sizeof(long)) {
return PyInt_FromLong((long) value);
} else if (sizeof(long) <= sizeof(unsigned long)) {
return PyLong_FromUnsignedLong((unsigned long) value);
#ifdef HAVE_LONG_LONG
} else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) {
return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);
#endif
}
} else {
if (sizeof(long) <= sizeof(long)) {
return PyInt_FromLong((long) value);
#ifdef HAVE_LONG_LONG
} else if (sizeof(long) <= sizeof(PY_LONG_LONG)) {
return PyLong_FromLongLong((PY_LONG_LONG) value);
#endif
}
}
{
int one = 1; int little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&value;
return _PyLong_FromByteArray(bytes, sizeof(long),
little, !is_unsigned);
}
}
/* CIntFromPy */
static CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *x) {
#ifdef __Pyx_HAS_GCC_DIAGNOSTIC
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wconversion"
#endif
const char neg_one = (char) -1, const_zero = (char) 0;
#ifdef __Pyx_HAS_GCC_DIAGNOSTIC
#pragma GCC diagnostic pop
#endif
const int is_unsigned = neg_one > const_zero;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_Check(x))) {
if (sizeof(char) < sizeof(long)) {
__PYX_VERIFY_RETURN_INT(char, long, PyInt_AS_LONG(x))
} else {
long val = PyInt_AS_LONG(x);
if (is_unsigned && unlikely(val < 0)) {
goto raise_neg_overflow;
}
return (char) val;
}
} else
#endif
if (likely(PyLong_Check(x))) {
if (is_unsigned) {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (char) 0;
case 1: __PYX_VERIFY_RETURN_INT(char, digit, digits[0])
case 2:
if (8 * sizeof(char) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) >= 2 * PyLong_SHIFT) {
return (char) (((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0]));
}
}
break;
case 3:
if (8 * sizeof(char) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) >= 3 * PyLong_SHIFT) {
return (char) (((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]));
}
}
break;
case 4:
if (8 * sizeof(char) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) >= 4 * PyLong_SHIFT) {
return (char) (((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]));
}
}
break;
}
#endif
#if CYTHON_COMPILING_IN_CPYTHON
if (unlikely(Py_SIZE(x) < 0)) {
goto raise_neg_overflow;
}
#else
{
int result = PyObject_RichCompareBool(x, Py_False, Py_LT);
if (unlikely(result < 0))
return (char) -1;
if (unlikely(result == 1))
goto raise_neg_overflow;
}
#endif
if (sizeof(char) <= sizeof(unsigned long)) {
__PYX_VERIFY_RETURN_INT_EXC(char, unsigned long, PyLong_AsUnsignedLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(char) <= sizeof(unsigned PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(char, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
#endif
}
} else {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (char) 0;
case -1: __PYX_VERIFY_RETURN_INT(char, sdigit, (sdigit) (-(sdigit)digits[0]))
case 1: __PYX_VERIFY_RETURN_INT(char, digit, +digits[0])
case -2:
if (8 * sizeof(char) - 1 > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) {
return (char) (((char)-1)*(((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
case 2:
if (8 * sizeof(char) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) {
return (char) ((((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
case -3:
if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) {
return (char) (((char)-1)*(((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
case 3:
if (8 * sizeof(char) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) {
return (char) ((((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
case -4:
if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 4 * PyLong_SHIFT) {
return (char) (((char)-1)*(((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
case 4:
if (8 * sizeof(char) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 4 * PyLong_SHIFT) {
return (char) ((((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
}
#endif
if (sizeof(char) <= sizeof(long)) {
__PYX_VERIFY_RETURN_INT_EXC(char, long, PyLong_AsLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(char) <= sizeof(PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(char, PY_LONG_LONG, PyLong_AsLongLong(x))
#endif
}
}
{
#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)
PyErr_SetString(PyExc_RuntimeError,
"_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers");
#else
char val;
PyObject *v = __Pyx_PyNumber_IntOrLong(x);
#if PY_MAJOR_VERSION < 3
if (likely(v) && !PyLong_Check(v)) {
PyObject *tmp = v;
v = PyNumber_Long(tmp);
Py_DECREF(tmp);
}
#endif
if (likely(v)) {
int one = 1; int is_little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&val;
int ret = _PyLong_AsByteArray((PyLongObject *)v,
bytes, sizeof(val),
is_little, !is_unsigned);
Py_DECREF(v);
if (likely(!ret))
return val;
}
#endif
return (char) -1;
}
} else {
char val;
PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);
if (!tmp) return (char) -1;
val = __Pyx_PyInt_As_char(tmp);
Py_DECREF(tmp);
return val;
}
raise_overflow:
PyErr_SetString(PyExc_OverflowError,
"value too large to convert to char");
return (char) -1;
raise_neg_overflow:
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to char");
return (char) -1;
}
/* CheckBinaryVersion */
static int __Pyx_check_binary_version(void) {
char ctversion[4], rtversion[4];
PyOS_snprintf(ctversion, 4, "%d.%d", PY_MAJOR_VERSION, PY_MINOR_VERSION);
PyOS_snprintf(rtversion, 4, "%s", Py_GetVersion());
if (ctversion[0] != rtversion[0] || ctversion[2] != rtversion[2]) {
char message[200];
PyOS_snprintf(message, sizeof(message),
"compiletime version %s of module '%.100s' "
"does not match runtime version %s",
ctversion, __Pyx_MODULE_NAME, rtversion);
return PyErr_WarnEx(NULL, message, 1);
}
return 0;
}
/* InitStrings */
static int __Pyx_InitStrings(__Pyx_StringTabEntry *t) {
while (t->p) {
#if PY_MAJOR_VERSION < 3
if (t->is_unicode) {
*t->p = PyUnicode_DecodeUTF8(t->s, t->n - 1, NULL);
} else if (t->intern) {
*t->p = PyString_InternFromString(t->s);
} else {
*t->p = PyString_FromStringAndSize(t->s, t->n - 1);
}
#else
if (t->is_unicode | t->is_str) {
if (t->intern) {
*t->p = PyUnicode_InternFromString(t->s);
} else if (t->encoding) {
*t->p = PyUnicode_Decode(t->s, t->n - 1, t->encoding, NULL);
} else {
*t->p = PyUnicode_FromStringAndSize(t->s, t->n - 1);
}
} else {
*t->p = PyBytes_FromStringAndSize(t->s, t->n - 1);
}
#endif
if (!*t->p)
return -1;
if (PyObject_Hash(*t->p) == -1)
return -1;
++t;
}
return 0;
}
static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char* c_str) {
return __Pyx_PyUnicode_FromStringAndSize(c_str, (Py_ssize_t)strlen(c_str));
}
static CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject* o) {
Py_ssize_t ignore;
return __Pyx_PyObject_AsStringAndSize(o, &ignore);
}
#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT
#if !CYTHON_PEP393_ENABLED
static const char* __Pyx_PyUnicode_AsStringAndSize(PyObject* o, Py_ssize_t *length) {
char* defenc_c;
PyObject* defenc = _PyUnicode_AsDefaultEncodedString(o, NULL);
if (!defenc) return NULL;
defenc_c = PyBytes_AS_STRING(defenc);
#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
{
char* end = defenc_c + PyBytes_GET_SIZE(defenc);
char* c;
for (c = defenc_c; c < end; c++) {
if ((unsigned char) (*c) >= 128) {
PyUnicode_AsASCIIString(o);
return NULL;
}
}
}
#endif
*length = PyBytes_GET_SIZE(defenc);
return defenc_c;
}
#else
static CYTHON_INLINE const char* __Pyx_PyUnicode_AsStringAndSize(PyObject* o, Py_ssize_t *length) {
if (unlikely(__Pyx_PyUnicode_READY(o) == -1)) return NULL;
#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
if (likely(PyUnicode_IS_ASCII(o))) {
*length = PyUnicode_GET_LENGTH(o);
return PyUnicode_AsUTF8(o);
} else {
PyUnicode_AsASCIIString(o);
return NULL;
}
#else
return PyUnicode_AsUTF8AndSize(o, length);
#endif
}
#endif
#endif
static CYTHON_INLINE const char* __Pyx_PyObject_AsStringAndSize(PyObject* o, Py_ssize_t *length) {
#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT
if (
#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
__Pyx_sys_getdefaultencoding_not_ascii &&
#endif
PyUnicode_Check(o)) {
return __Pyx_PyUnicode_AsStringAndSize(o, length);
} else
#endif
#if (!CYTHON_COMPILING_IN_PYPY) || (defined(PyByteArray_AS_STRING) && defined(PyByteArray_GET_SIZE))
if (PyByteArray_Check(o)) {
*length = PyByteArray_GET_SIZE(o);
return PyByteArray_AS_STRING(o);
} else
#endif
{
char* result;
int r = PyBytes_AsStringAndSize(o, &result, length);
if (unlikely(r < 0)) {
return NULL;
} else {
return result;
}
}
}
static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject* x) {
int is_true = x == Py_True;
if (is_true | (x == Py_False) | (x == Py_None)) return is_true;
else return PyObject_IsTrue(x);
}
static CYTHON_INLINE int __Pyx_PyObject_IsTrueAndDecref(PyObject* x) {
int retval;
if (unlikely(!x)) return -1;
retval = __Pyx_PyObject_IsTrue(x);
Py_DECREF(x);
return retval;
}
static PyObject* __Pyx_PyNumber_IntOrLongWrongResultType(PyObject* result, const char* type_name) {
#if PY_MAJOR_VERSION >= 3
if (PyLong_Check(result)) {
if (PyErr_WarnFormat(PyExc_DeprecationWarning, 1,
"__int__ returned non-int (type %.200s). "
"The ability to return an instance of a strict subclass of int "
"is deprecated, and may be removed in a future version of Python.",
Py_TYPE(result)->tp_name)) {
Py_DECREF(result);
return NULL;
}
return result;
}
#endif
PyErr_Format(PyExc_TypeError,
"__%.4s__ returned non-%.4s (type %.200s)",
type_name, type_name, Py_TYPE(result)->tp_name);
Py_DECREF(result);
return NULL;
}
static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x) {
#if CYTHON_USE_TYPE_SLOTS
PyNumberMethods *m;
#endif
const char *name = NULL;
PyObject *res = NULL;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_Check(x) || PyLong_Check(x)))
#else
if (likely(PyLong_Check(x)))
#endif
return __Pyx_NewRef(x);
#if CYTHON_USE_TYPE_SLOTS
m = Py_TYPE(x)->tp_as_number;
#if PY_MAJOR_VERSION < 3
if (m && m->nb_int) {
name = "int";
res = m->nb_int(x);
}
else if (m && m->nb_long) {
name = "long";
res = m->nb_long(x);
}
#else
if (likely(m && m->nb_int)) {
name = "int";
res = m->nb_int(x);
}
#endif
#else
if (!PyBytes_CheckExact(x) && !PyUnicode_CheckExact(x)) {
res = PyNumber_Int(x);
}
#endif
if (likely(res)) {
#if PY_MAJOR_VERSION < 3
if (unlikely(!PyInt_Check(res) && !PyLong_Check(res))) {
#else
if (unlikely(!PyLong_CheckExact(res))) {
#endif
return __Pyx_PyNumber_IntOrLongWrongResultType(res, name);
}
}
else if (!PyErr_Occurred()) {
PyErr_SetString(PyExc_TypeError,
"an integer is required");
}
return res;
}
static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject* b) {
Py_ssize_t ival;
PyObject *x;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_CheckExact(b))) {
if (sizeof(Py_ssize_t) >= sizeof(long))
return PyInt_AS_LONG(b);
else
return PyInt_AsSsize_t(b);
}
#endif
if (likely(PyLong_CheckExact(b))) {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)b)->ob_digit;
const Py_ssize_t size = Py_SIZE(b);
if (likely(__Pyx_sst_abs(size) <= 1)) {
ival = likely(size) ? digits[0] : 0;
if (size == -1) ival = -ival;
return ival;
} else {
switch (size) {
case 2:
if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) {
return (Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
}
break;
case -2:
if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) {
return -(Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
}
break;
case 3:
if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) {
return (Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
}
break;
case -3:
if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) {
return -(Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
}
break;
case 4:
if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) {
return (Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
}
break;
case -4:
if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) {
return -(Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
}
break;
}
}
#endif
return PyLong_AsSsize_t(b);
}
x = PyNumber_Index(b);
if (!x) return -1;
ival = PyInt_AsSsize_t(x);
Py_DECREF(x);
return ival;
}
static CYTHON_INLINE PyObject * __Pyx_PyBool_FromLong(long b) {
return b ? __Pyx_NewRef(Py_True) : __Pyx_NewRef(Py_False);
}
static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t ival) {
return PyInt_FromSize_t(ival);
}
#endif /* Py_PYTHON_H */
|
core_dlantr.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/core_blas/core_zlantr.c, normal z -> d, Fri Sep 28 17:38:21 2018
*
**/
#include <plasma_core_blas.h>
#include "plasma_types.h"
#include "plasma_internal.h"
#include "core_lapack.h"
#include <math.h>
/******************************************************************************/
__attribute__((weak))
void plasma_core_dlantr(plasma_enum_t norm, plasma_enum_t uplo, plasma_enum_t diag,
int m, int n,
const double *A, int lda,
double *work, double *value)
{
// Due to a bug in LAPACKE < 3.6.1, this function always returns zero.
// *value = LAPACKE_dlantr_work(LAPACK_COL_MAJOR,
// lapack_const(norm), lapack_const(uplo),
// lapack_const(diag),
// m, n, A, lda, work);
// Calling LAPACK directly instead.
char nrm = lapack_const(norm);
char upl = lapack_const(uplo);
char dia = lapack_const(diag);
*value = LAPACK_dlantr(&nrm, &upl, &dia, &m, &n, A, &lda, work);
}
/******************************************************************************/
void plasma_core_omp_dlantr(plasma_enum_t norm, plasma_enum_t uplo, plasma_enum_t diag,
int m, int n,
const double *A, int lda,
double *work, double *value,
plasma_sequence_t *sequence, plasma_request_t *request)
{
#pragma omp task depend(in:A[0:lda*n]) \
depend(out:value[0:1])
{
if (sequence->status == PlasmaSuccess)
plasma_core_dlantr(norm, uplo, diag, m, n, A, lda, work, value);
}
}
/******************************************************************************/
void plasma_core_omp_dlantr_aux(plasma_enum_t norm, plasma_enum_t uplo,
plasma_enum_t diag,
int m, int n,
const double *A, int lda,
double *value,
plasma_sequence_t *sequence, plasma_request_t *request)
{
switch (norm) {
case PlasmaOneNorm:
#pragma omp task depend(in:A[0:lda*n]) \
depend(out:value[0:n])
{
if (sequence->status == PlasmaSuccess) {
if (uplo == PlasmaUpper) {
if (diag == PlasmaNonUnit) {
for (int j = 0; j < n; j++) {
value[j] = fabs(A[lda*j]);
for (int i = 1; i < imin(j+1, m); i++) {
value[j] += fabs(A[lda*j+i]);
}
}
}
else { // PlasmaUnit
int j;
for (j = 0; j < imin(n, m); j++) {
value[j] = 1.0;
for (int i = 0; i < j; i++) {
value[j] += fabs(A[lda*j+i]);
}
}
for (; j < n; j++) {
value[j] = fabs(A[lda*j]);
for (int i = 1; i < m; i++) {
value[j] += fabs(A[lda*j+i]);
}
}
}
}
else { // PlasmaLower
if (diag == PlasmaNonUnit) {
int j;
for (j = 0; j < imin(n, m); j++) {
value[j] = fabs(A[lda*j+j]);
for (int i = j+1; i < m; i++) {
value[j] += fabs(A[lda*j+i]);
}
}
for (; j < n; j++)
value[j] = 0.0;
}
else { // PlasmaUnit
int j;
for (j = 0; j < imin(n, m); j++) {
value[j] = 1.0;
for (int i = j+1; i < m; i++) {
value[j] += fabs(A[lda*j+i]);
}
}
for (; j < n; j++)
value[j] = 0.0;
}
}
}
}
break;
case PlasmaInfNorm:
#pragma omp task depend(in:A[0:lda*n]) \
depend(out:value[0:m])
{
if (sequence->status == PlasmaSuccess) {
if (uplo == PlasmaUpper) {
if (diag == PlasmaNonUnit) {
for (int i = 0; i < m; i++)
value[i] = 0.0;
for (int j = 0; j < n; j++) {
for (int i = 0; i < imin(j+1, m); i++) {
value[i] += fabs(A[lda*j+i]);
}
}
}
else { // PlasmaUnit
int i;
for (i = 0; i < imin(m, n); i++)
value[i] = 1.0;
for (; i < m; i++)
value[i] = 0.0;
int j;
for (j = 0; j < imin(n, m); j++) {
for (i = 0; i < j; i++) {
value[i] += fabs(A[lda*j+i]);
}
}
for (; j < n; j++) {
for (i = 0; i < m; i++) {
value[i] += fabs(A[lda*j+i]);
}
}
}
}
else { // PlasmaLower
if (diag == PlasmaNonUnit) {
for (int i = 0; i < m; i++)
value[i] = 0.0;
for (int j = 0; j < imin(n, m); j++) {
for (int i = j; i < m; i++) {
value[i] += fabs(A[lda*j+i]);
}
}
}
else { // PlasmaUnit
int i;
for (i = 0; i < imin(m, n); i++)
value[i] = 1.0;
for (; i < m; i++)
value[i] = 0.0;
for (int j = 0; j < imin(n, m); j++) {
for (i = j+1; i < m; i++) {
value[i] += fabs(A[lda*j+i]);
}
}
}
}
}
}
break;
}
}
|
GB_unaryop__identity_int32_uint8.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_int32_uint8
// op(A') function: GB_tran__identity_int32_uint8
// C type: int32_t
// A type: uint8_t
// cast: int32_t cij = (int32_t) aij
// unaryop: cij = aij
#define GB_ATYPE \
uint8_t
#define GB_CTYPE \
int32_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
uint8_t aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = x ;
// casting
#define GB_CASTING(z, x) \
int32_t z = (int32_t) x ;
// cij = op (cast (aij))
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
GB_GETA (aij, Ax, pA) ; \
/* Cx [pC] = op (cast (aij)) */ \
GB_CASTING (x, aij) ; \
GB_OP (GB_CX (pC), x) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_IDENTITY || GxB_NO_INT32 || GxB_NO_UINT8)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop__identity_int32_uint8
(
int32_t *restrict Cx,
const uint8_t *restrict Ax,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (int64_t p = 0 ; p < anz ; p++)
{
GB_CAST_OP (p, p) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_tran__identity_int32_uint8
(
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
|
Parser.h | //===--- Parser.h - C Language Parser ---------------------------*- C++ -*-===//
//
// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
//===----------------------------------------------------------------------===//
//
// This file defines the Parser interface.
//
//===----------------------------------------------------------------------===//
#ifndef LLVM_CLANG_PARSE_PARSER_H
#define LLVM_CLANG_PARSE_PARSER_H
#include "clang/AST/Availability.h"
#include "clang/Basic/BitmaskEnum.h"
#include "clang/Basic/OpenMPKinds.h"
#include "clang/Basic/OperatorPrecedence.h"
#include "clang/Basic/Specifiers.h"
#include "clang/Lex/CodeCompletionHandler.h"
#include "clang/Lex/Preprocessor.h"
#include "clang/Sema/DeclSpec.h"
#include "clang/Sema/Sema.h"
#include "llvm/ADT/SmallVector.h"
#include "llvm/Frontend/OpenMP/OMPContext.h"
#include "llvm/Support/Compiler.h"
#include "llvm/Support/PrettyStackTrace.h"
#include "llvm/Support/SaveAndRestore.h"
#include <memory>
#include <stack>
namespace clang {
class PragmaHandler;
class Scope;
class BalancedDelimiterTracker;
class CorrectionCandidateCallback;
class DeclGroupRef;
class DiagnosticBuilder;
struct LoopHint;
class Parser;
class ParsingDeclRAIIObject;
class ParsingDeclSpec;
class ParsingDeclarator;
class ParsingFieldDeclarator;
class ColonProtectionRAIIObject;
class InMessageExpressionRAIIObject;
class PoisonSEHIdentifiersRAIIObject;
class OMPClause;
class ObjCTypeParamList;
struct OMPTraitProperty;
struct OMPTraitSelector;
struct OMPTraitSet;
class OMPTraitInfo;
/// Parser - This implements a parser for the C family of languages. After
/// parsing units of the grammar, productions are invoked to handle whatever has
/// been read.
///
class Parser : public CodeCompletionHandler {
friend class ColonProtectionRAIIObject;
friend class ParsingOpenMPDirectiveRAII;
friend class InMessageExpressionRAIIObject;
friend class PoisonSEHIdentifiersRAIIObject;
friend class ObjCDeclContextSwitch;
friend class ParenBraceBracketBalancer;
friend class BalancedDelimiterTracker;
Preprocessor &PP;
/// Tok - The current token we are peeking ahead. All parsing methods assume
/// that this is valid.
Token Tok;
// PrevTokLocation - The location of the token we previously
// consumed. This token is used for diagnostics where we expected to
// see a token following another token (e.g., the ';' at the end of
// a statement).
SourceLocation PrevTokLocation;
/// Tracks an expected type for the current token when parsing an expression.
/// Used by code completion for ranking.
PreferredTypeBuilder PreferredType;
unsigned short ParenCount = 0, BracketCount = 0, BraceCount = 0;
unsigned short MisplacedModuleBeginCount = 0;
/// Actions - These are the callbacks we invoke as we parse various constructs
/// in the file.
Sema &Actions;
DiagnosticsEngine &Diags;
/// ScopeCache - Cache scopes to reduce malloc traffic.
enum { ScopeCacheSize = 16 };
unsigned NumCachedScopes;
Scope *ScopeCache[ScopeCacheSize];
/// Identifiers used for SEH handling in Borland. These are only
/// allowed in particular circumstances
// __except block
IdentifierInfo *Ident__exception_code,
*Ident___exception_code,
*Ident_GetExceptionCode;
// __except filter expression
IdentifierInfo *Ident__exception_info,
*Ident___exception_info,
*Ident_GetExceptionInfo;
// __finally
IdentifierInfo *Ident__abnormal_termination,
*Ident___abnormal_termination,
*Ident_AbnormalTermination;
/// Contextual keywords for Microsoft extensions.
IdentifierInfo *Ident__except;
mutable IdentifierInfo *Ident_sealed;
mutable IdentifierInfo *Ident_abstract;
/// Ident_super - IdentifierInfo for "super", to support fast
/// comparison.
IdentifierInfo *Ident_super;
/// Ident_vector, Ident_bool, Ident_Bool - cached IdentifierInfos for "vector"
/// and "bool" fast comparison. Only present if AltiVec or ZVector are
/// enabled.
IdentifierInfo *Ident_vector;
IdentifierInfo *Ident_bool;
IdentifierInfo *Ident_Bool;
/// Ident_pixel - cached IdentifierInfos for "pixel" fast comparison.
/// Only present if AltiVec enabled.
IdentifierInfo *Ident_pixel;
/// Objective-C contextual keywords.
IdentifierInfo *Ident_instancetype;
/// Identifier for "introduced".
IdentifierInfo *Ident_introduced;
/// Identifier for "deprecated".
IdentifierInfo *Ident_deprecated;
/// Identifier for "obsoleted".
IdentifierInfo *Ident_obsoleted;
/// Identifier for "unavailable".
IdentifierInfo *Ident_unavailable;
/// Identifier for "message".
IdentifierInfo *Ident_message;
/// Identifier for "strict".
IdentifierInfo *Ident_strict;
/// Identifier for "replacement".
IdentifierInfo *Ident_replacement;
/// Identifiers used by the 'external_source_symbol' attribute.
IdentifierInfo *Ident_language, *Ident_defined_in,
*Ident_generated_declaration;
/// C++11 contextual keywords.
mutable IdentifierInfo *Ident_final;
mutable IdentifierInfo *Ident_GNU_final;
mutable IdentifierInfo *Ident_override;
// C++2a contextual keywords.
mutable IdentifierInfo *Ident_import;
mutable IdentifierInfo *Ident_module;
// C++ type trait keywords that can be reverted to identifiers and still be
// used as type traits.
llvm::SmallDenseMap<IdentifierInfo *, tok::TokenKind> RevertibleTypeTraits;
std::unique_ptr<PragmaHandler> AlignHandler;
std::unique_ptr<PragmaHandler> GCCVisibilityHandler;
std::unique_ptr<PragmaHandler> OptionsHandler;
std::unique_ptr<PragmaHandler> PackHandler;
std::unique_ptr<PragmaHandler> MSStructHandler;
std::unique_ptr<PragmaHandler> UnusedHandler;
std::unique_ptr<PragmaHandler> WeakHandler;
std::unique_ptr<PragmaHandler> RedefineExtnameHandler;
std::unique_ptr<PragmaHandler> FPContractHandler;
std::unique_ptr<PragmaHandler> OpenCLExtensionHandler;
std::unique_ptr<PragmaHandler> OpenMPHandler;
std::unique_ptr<PragmaHandler> PCSectionHandler;
std::unique_ptr<PragmaHandler> MSCommentHandler;
std::unique_ptr<PragmaHandler> MSDetectMismatchHandler;
std::unique_ptr<PragmaHandler> FloatControlHandler;
std::unique_ptr<PragmaHandler> MSPointersToMembers;
std::unique_ptr<PragmaHandler> MSVtorDisp;
std::unique_ptr<PragmaHandler> MSInitSeg;
std::unique_ptr<PragmaHandler> MSDataSeg;
std::unique_ptr<PragmaHandler> MSBSSSeg;
std::unique_ptr<PragmaHandler> MSConstSeg;
std::unique_ptr<PragmaHandler> MSCodeSeg;
std::unique_ptr<PragmaHandler> MSSection;
std::unique_ptr<PragmaHandler> MSRuntimeChecks;
std::unique_ptr<PragmaHandler> MSIntrinsic;
std::unique_ptr<PragmaHandler> MSOptimize;
std::unique_ptr<PragmaHandler> MSFenvAccess;
std::unique_ptr<PragmaHandler> CUDAForceHostDeviceHandler;
std::unique_ptr<PragmaHandler> OptimizeHandler;
std::unique_ptr<PragmaHandler> LoopHintHandler;
std::unique_ptr<PragmaHandler> UnrollHintHandler;
std::unique_ptr<PragmaHandler> NoUnrollHintHandler;
std::unique_ptr<PragmaHandler> UnrollAndJamHintHandler;
std::unique_ptr<PragmaHandler> NoUnrollAndJamHintHandler;
std::unique_ptr<PragmaHandler> FPHandler;
std::unique_ptr<PragmaHandler> STDCFenvAccessHandler;
std::unique_ptr<PragmaHandler> STDCFenvRoundHandler;
std::unique_ptr<PragmaHandler> STDCCXLIMITHandler;
std::unique_ptr<PragmaHandler> STDCUnknownHandler;
std::unique_ptr<PragmaHandler> AttributePragmaHandler;
std::unique_ptr<PragmaHandler> MaxTokensHerePragmaHandler;
std::unique_ptr<PragmaHandler> MaxTokensTotalPragmaHandler;
std::unique_ptr<CommentHandler> CommentSemaHandler;
/// Whether the '>' token acts as an operator or not. This will be
/// true except when we are parsing an expression within a C++
/// template argument list, where the '>' closes the template
/// argument list.
bool GreaterThanIsOperator;
/// ColonIsSacred - When this is false, we aggressively try to recover from
/// code like "foo : bar" as if it were a typo for "foo :: bar". This is not
/// safe in case statements and a few other things. This is managed by the
/// ColonProtectionRAIIObject RAII object.
bool ColonIsSacred;
/// Parsing OpenMP directive mode.
bool OpenMPDirectiveParsing = false;
/// When true, we are directly inside an Objective-C message
/// send expression.
///
/// This is managed by the \c InMessageExpressionRAIIObject class, and
/// should not be set directly.
bool InMessageExpression;
/// Gets set to true after calling ProduceSignatureHelp, it is for a
/// workaround to make sure ProduceSignatureHelp is only called at the deepest
/// function call.
bool CalledSignatureHelp = false;
/// The "depth" of the template parameters currently being parsed.
unsigned TemplateParameterDepth;
/// Current kind of OpenMP clause
OpenMPClauseKind OMPClauseKind = llvm::omp::OMPC_unknown;
/// RAII class that manages the template parameter depth.
class TemplateParameterDepthRAII {
unsigned &Depth;
unsigned AddedLevels;
public:
explicit TemplateParameterDepthRAII(unsigned &Depth)
: Depth(Depth), AddedLevels(0) {}
~TemplateParameterDepthRAII() {
Depth -= AddedLevels;
}
void operator++() {
++Depth;
++AddedLevels;
}
void addDepth(unsigned D) {
Depth += D;
AddedLevels += D;
}
void setAddedDepth(unsigned D) {
Depth = Depth - AddedLevels + D;
AddedLevels = D;
}
unsigned getDepth() const { return Depth; }
unsigned getOriginalDepth() const { return Depth - AddedLevels; }
};
/// Factory object for creating ParsedAttr objects.
AttributeFactory AttrFactory;
/// Gathers and cleans up TemplateIdAnnotations when parsing of a
/// top-level declaration is finished.
SmallVector<TemplateIdAnnotation *, 16> TemplateIds;
void MaybeDestroyTemplateIds() {
if (!TemplateIds.empty() &&
(Tok.is(tok::eof) || !PP.mightHavePendingAnnotationTokens()))
DestroyTemplateIds();
}
void DestroyTemplateIds();
/// RAII object to destroy TemplateIdAnnotations where possible, from a
/// likely-good position during parsing.
struct DestroyTemplateIdAnnotationsRAIIObj {
Parser &Self;
DestroyTemplateIdAnnotationsRAIIObj(Parser &Self) : Self(Self) {}
~DestroyTemplateIdAnnotationsRAIIObj() { Self.MaybeDestroyTemplateIds(); }
};
/// Identifiers which have been declared within a tentative parse.
SmallVector<IdentifierInfo *, 8> TentativelyDeclaredIdentifiers;
/// Tracker for '<' tokens that might have been intended to be treated as an
/// angle bracket instead of a less-than comparison.
///
/// This happens when the user intends to form a template-id, but typoes the
/// template-name or forgets a 'template' keyword for a dependent template
/// name.
///
/// We track these locations from the point where we see a '<' with a
/// name-like expression on its left until we see a '>' or '>>' that might
/// match it.
struct AngleBracketTracker {
/// Flags used to rank candidate template names when there is more than one
/// '<' in a scope.
enum Priority : unsigned short {
/// A non-dependent name that is a potential typo for a template name.
PotentialTypo = 0x0,
/// A dependent name that might instantiate to a template-name.
DependentName = 0x2,
/// A space appears before the '<' token.
SpaceBeforeLess = 0x0,
/// No space before the '<' token
NoSpaceBeforeLess = 0x1,
LLVM_MARK_AS_BITMASK_ENUM(/*LargestValue*/ DependentName)
};
struct Loc {
Expr *TemplateName;
SourceLocation LessLoc;
AngleBracketTracker::Priority Priority;
unsigned short ParenCount, BracketCount, BraceCount;
bool isActive(Parser &P) const {
return P.ParenCount == ParenCount && P.BracketCount == BracketCount &&
P.BraceCount == BraceCount;
}
bool isActiveOrNested(Parser &P) const {
return isActive(P) || P.ParenCount > ParenCount ||
P.BracketCount > BracketCount || P.BraceCount > BraceCount;
}
};
SmallVector<Loc, 8> Locs;
/// Add an expression that might have been intended to be a template name.
/// In the case of ambiguity, we arbitrarily select the innermost such
/// expression, for example in 'foo < bar < baz', 'bar' is the current
/// candidate. No attempt is made to track that 'foo' is also a candidate
/// for the case where we see a second suspicious '>' token.
void add(Parser &P, Expr *TemplateName, SourceLocation LessLoc,
Priority Prio) {
if (!Locs.empty() && Locs.back().isActive(P)) {
if (Locs.back().Priority <= Prio) {
Locs.back().TemplateName = TemplateName;
Locs.back().LessLoc = LessLoc;
Locs.back().Priority = Prio;
}
} else {
Locs.push_back({TemplateName, LessLoc, Prio,
P.ParenCount, P.BracketCount, P.BraceCount});
}
}
/// Mark the current potential missing template location as having been
/// handled (this happens if we pass a "corresponding" '>' or '>>' token
/// or leave a bracket scope).
void clear(Parser &P) {
while (!Locs.empty() && Locs.back().isActiveOrNested(P))
Locs.pop_back();
}
/// Get the current enclosing expression that might hve been intended to be
/// a template name.
Loc *getCurrent(Parser &P) {
if (!Locs.empty() && Locs.back().isActive(P))
return &Locs.back();
return nullptr;
}
};
AngleBracketTracker AngleBrackets;
IdentifierInfo *getSEHExceptKeyword();
/// True if we are within an Objective-C container while parsing C-like decls.
///
/// This is necessary because Sema thinks we have left the container
/// to parse the C-like decls, meaning Actions.getObjCDeclContext() will
/// be NULL.
bool ParsingInObjCContainer;
/// Whether to skip parsing of function bodies.
///
/// This option can be used, for example, to speed up searches for
/// declarations/definitions when indexing.
bool SkipFunctionBodies;
/// The location of the expression statement that is being parsed right now.
/// Used to determine if an expression that is being parsed is a statement or
/// just a regular sub-expression.
SourceLocation ExprStatementTokLoc;
/// Flags describing a context in which we're parsing a statement.
enum class ParsedStmtContext {
/// This context permits declarations in language modes where declarations
/// are not statements.
AllowDeclarationsInC = 0x1,
/// This context permits standalone OpenMP directives.
AllowStandaloneOpenMPDirectives = 0x2,
/// This context is at the top level of a GNU statement expression.
InStmtExpr = 0x4,
/// The context of a regular substatement.
SubStmt = 0,
/// The context of a compound-statement.
Compound = AllowDeclarationsInC | AllowStandaloneOpenMPDirectives,
LLVM_MARK_AS_BITMASK_ENUM(InStmtExpr)
};
/// Act on an expression statement that might be the last statement in a
/// GNU statement expression. Checks whether we are actually at the end of
/// a statement expression and builds a suitable expression statement.
StmtResult handleExprStmt(ExprResult E, ParsedStmtContext StmtCtx);
public:
Parser(Preprocessor &PP, Sema &Actions, bool SkipFunctionBodies);
~Parser() override;
const LangOptions &getLangOpts() const { return PP.getLangOpts(); }
const TargetInfo &getTargetInfo() const { return PP.getTargetInfo(); }
Preprocessor &getPreprocessor() const { return PP; }
Sema &getActions() const { return Actions; }
AttributeFactory &getAttrFactory() { return AttrFactory; }
const Token &getCurToken() const { return Tok; }
Scope *getCurScope() const { return Actions.getCurScope(); }
void incrementMSManglingNumber() const {
return Actions.incrementMSManglingNumber();
}
Decl *getObjCDeclContext() const { return Actions.getObjCDeclContext(); }
// Type forwarding. All of these are statically 'void*', but they may all be
// different actual classes based on the actions in place.
typedef OpaquePtr<DeclGroupRef> DeclGroupPtrTy;
typedef OpaquePtr<TemplateName> TemplateTy;
typedef SmallVector<TemplateParameterList *, 4> TemplateParameterLists;
typedef Sema::FullExprArg FullExprArg;
// Parsing methods.
/// Initialize - Warm up the parser.
///
void Initialize();
/// Parse the first top-level declaration in a translation unit.
bool ParseFirstTopLevelDecl(DeclGroupPtrTy &Result);
/// ParseTopLevelDecl - Parse one top-level declaration. Returns true if
/// the EOF was encountered.
bool ParseTopLevelDecl(DeclGroupPtrTy &Result, bool IsFirstDecl = false);
bool ParseTopLevelDecl() {
DeclGroupPtrTy Result;
return ParseTopLevelDecl(Result);
}
/// ConsumeToken - Consume the current 'peek token' and lex the next one.
/// This does not work with special tokens: string literals, code completion,
/// annotation tokens and balanced tokens must be handled using the specific
/// consume methods.
/// Returns the location of the consumed token.
SourceLocation ConsumeToken() {
assert(!isTokenSpecial() &&
"Should consume special tokens with Consume*Token");
PrevTokLocation = Tok.getLocation();
PP.Lex(Tok);
return PrevTokLocation;
}
bool TryConsumeToken(tok::TokenKind Expected) {
if (Tok.isNot(Expected))
return false;
assert(!isTokenSpecial() &&
"Should consume special tokens with Consume*Token");
PrevTokLocation = Tok.getLocation();
PP.Lex(Tok);
return true;
}
bool TryConsumeToken(tok::TokenKind Expected, SourceLocation &Loc) {
if (!TryConsumeToken(Expected))
return false;
Loc = PrevTokLocation;
return true;
}
/// ConsumeAnyToken - Dispatch to the right Consume* method based on the
/// current token type. This should only be used in cases where the type of
/// the token really isn't known, e.g. in error recovery.
SourceLocation ConsumeAnyToken(bool ConsumeCodeCompletionTok = false) {
if (isTokenParen())
return ConsumeParen();
if (isTokenBracket())
return ConsumeBracket();
if (isTokenBrace())
return ConsumeBrace();
if (isTokenStringLiteral())
return ConsumeStringToken();
if (Tok.is(tok::code_completion))
return ConsumeCodeCompletionTok ? ConsumeCodeCompletionToken()
: handleUnexpectedCodeCompletionToken();
if (Tok.isAnnotation())
return ConsumeAnnotationToken();
return ConsumeToken();
}
SourceLocation getEndOfPreviousToken() {
return PP.getLocForEndOfToken(PrevTokLocation);
}
/// Retrieve the underscored keyword (_Nonnull, _Nullable) that corresponds
/// to the given nullability kind.
IdentifierInfo *getNullabilityKeyword(NullabilityKind nullability) {
return Actions.getNullabilityKeyword(nullability);
}
private:
//===--------------------------------------------------------------------===//
// Low-Level token peeking and consumption methods.
//
/// isTokenParen - Return true if the cur token is '(' or ')'.
bool isTokenParen() const {
return Tok.isOneOf(tok::l_paren, tok::r_paren);
}
/// isTokenBracket - Return true if the cur token is '[' or ']'.
bool isTokenBracket() const {
return Tok.isOneOf(tok::l_square, tok::r_square);
}
/// isTokenBrace - Return true if the cur token is '{' or '}'.
bool isTokenBrace() const {
return Tok.isOneOf(tok::l_brace, tok::r_brace);
}
/// isTokenStringLiteral - True if this token is a string-literal.
bool isTokenStringLiteral() const {
return tok::isStringLiteral(Tok.getKind());
}
/// isTokenSpecial - True if this token requires special consumption methods.
bool isTokenSpecial() const {
return isTokenStringLiteral() || isTokenParen() || isTokenBracket() ||
isTokenBrace() || Tok.is(tok::code_completion) || Tok.isAnnotation();
}
/// Returns true if the current token is '=' or is a type of '='.
/// For typos, give a fixit to '='
bool isTokenEqualOrEqualTypo();
/// Return the current token to the token stream and make the given
/// token the current token.
void UnconsumeToken(Token &Consumed) {
Token Next = Tok;
PP.EnterToken(Consumed, /*IsReinject*/true);
PP.Lex(Tok);
PP.EnterToken(Next, /*IsReinject*/true);
}
SourceLocation ConsumeAnnotationToken() {
assert(Tok.isAnnotation() && "wrong consume method");
SourceLocation Loc = Tok.getLocation();
PrevTokLocation = Tok.getAnnotationEndLoc();
PP.Lex(Tok);
return Loc;
}
/// ConsumeParen - This consume method keeps the paren count up-to-date.
///
SourceLocation ConsumeParen() {
assert(isTokenParen() && "wrong consume method");
if (Tok.getKind() == tok::l_paren)
++ParenCount;
else if (ParenCount) {
AngleBrackets.clear(*this);
--ParenCount; // Don't let unbalanced )'s drive the count negative.
}
PrevTokLocation = Tok.getLocation();
PP.Lex(Tok);
return PrevTokLocation;
}
/// ConsumeBracket - This consume method keeps the bracket count up-to-date.
///
SourceLocation ConsumeBracket() {
assert(isTokenBracket() && "wrong consume method");
if (Tok.getKind() == tok::l_square)
++BracketCount;
else if (BracketCount) {
AngleBrackets.clear(*this);
--BracketCount; // Don't let unbalanced ]'s drive the count negative.
}
PrevTokLocation = Tok.getLocation();
PP.Lex(Tok);
return PrevTokLocation;
}
/// ConsumeBrace - This consume method keeps the brace count up-to-date.
///
SourceLocation ConsumeBrace() {
assert(isTokenBrace() && "wrong consume method");
if (Tok.getKind() == tok::l_brace)
++BraceCount;
else if (BraceCount) {
AngleBrackets.clear(*this);
--BraceCount; // Don't let unbalanced }'s drive the count negative.
}
PrevTokLocation = Tok.getLocation();
PP.Lex(Tok);
return PrevTokLocation;
}
/// ConsumeStringToken - Consume the current 'peek token', lexing a new one
/// and returning the token kind. This method is specific to strings, as it
/// handles string literal concatenation, as per C99 5.1.1.2, translation
/// phase #6.
SourceLocation ConsumeStringToken() {
assert(isTokenStringLiteral() &&
"Should only consume string literals with this method");
PrevTokLocation = Tok.getLocation();
PP.Lex(Tok);
return PrevTokLocation;
}
/// Consume the current code-completion token.
///
/// This routine can be called to consume the code-completion token and
/// continue processing in special cases where \c cutOffParsing() isn't
/// desired, such as token caching or completion with lookahead.
SourceLocation ConsumeCodeCompletionToken() {
assert(Tok.is(tok::code_completion));
PrevTokLocation = Tok.getLocation();
PP.Lex(Tok);
return PrevTokLocation;
}
///\ brief When we are consuming a code-completion token without having
/// matched specific position in the grammar, provide code-completion results
/// based on context.
///
/// \returns the source location of the code-completion token.
SourceLocation handleUnexpectedCodeCompletionToken();
/// Abruptly cut off parsing; mainly used when we have reached the
/// code-completion point.
void cutOffParsing() {
if (PP.isCodeCompletionEnabled())
PP.setCodeCompletionReached();
// Cut off parsing by acting as if we reached the end-of-file.
Tok.setKind(tok::eof);
}
/// Determine if we're at the end of the file or at a transition
/// between modules.
bool isEofOrEom() {
tok::TokenKind Kind = Tok.getKind();
return Kind == tok::eof || Kind == tok::annot_module_begin ||
Kind == tok::annot_module_end || Kind == tok::annot_module_include;
}
/// Checks if the \p Level is valid for use in a fold expression.
bool isFoldOperator(prec::Level Level) const;
/// Checks if the \p Kind is a valid operator for fold expressions.
bool isFoldOperator(tok::TokenKind Kind) const;
/// Initialize all pragma handlers.
void initializePragmaHandlers();
/// Destroy and reset all pragma handlers.
void resetPragmaHandlers();
/// Handle the annotation token produced for #pragma unused(...)
void HandlePragmaUnused();
/// Handle the annotation token produced for
/// #pragma GCC visibility...
void HandlePragmaVisibility();
/// Handle the annotation token produced for
/// #pragma pack...
void HandlePragmaPack();
/// Handle the annotation token produced for
/// #pragma ms_struct...
void HandlePragmaMSStruct();
void HandlePragmaMSPointersToMembers();
void HandlePragmaMSVtorDisp();
void HandlePragmaMSPragma();
bool HandlePragmaMSSection(StringRef PragmaName,
SourceLocation PragmaLocation);
bool HandlePragmaMSSegment(StringRef PragmaName,
SourceLocation PragmaLocation);
bool HandlePragmaMSInitSeg(StringRef PragmaName,
SourceLocation PragmaLocation);
/// Handle the annotation token produced for
/// #pragma align...
void HandlePragmaAlign();
/// Handle the annotation token produced for
/// #pragma clang __debug dump...
void HandlePragmaDump();
/// Handle the annotation token produced for
/// #pragma weak id...
void HandlePragmaWeak();
/// Handle the annotation token produced for
/// #pragma weak id = id...
void HandlePragmaWeakAlias();
/// Handle the annotation token produced for
/// #pragma redefine_extname...
void HandlePragmaRedefineExtname();
/// Handle the annotation token produced for
/// #pragma STDC FP_CONTRACT...
void HandlePragmaFPContract();
/// Handle the annotation token produced for
/// #pragma STDC FENV_ACCESS...
void HandlePragmaFEnvAccess();
/// Handle the annotation token produced for
/// #pragma STDC FENV_ROUND...
void HandlePragmaFEnvRound();
/// Handle the annotation token produced for
/// #pragma float_control
void HandlePragmaFloatControl();
/// \brief Handle the annotation token produced for
/// #pragma clang fp ...
void HandlePragmaFP();
/// Handle the annotation token produced for
/// #pragma OPENCL EXTENSION...
void HandlePragmaOpenCLExtension();
/// Handle the annotation token produced for
/// #pragma clang __debug captured
StmtResult HandlePragmaCaptured();
/// Handle the annotation token produced for
/// #pragma clang loop and #pragma unroll.
bool HandlePragmaLoopHint(LoopHint &Hint);
bool ParsePragmaAttributeSubjectMatchRuleSet(
attr::ParsedSubjectMatchRuleSet &SubjectMatchRules,
SourceLocation &AnyLoc, SourceLocation &LastMatchRuleEndLoc);
void HandlePragmaAttribute();
/// GetLookAheadToken - This peeks ahead N tokens and returns that token
/// without consuming any tokens. LookAhead(0) returns 'Tok', LookAhead(1)
/// returns the token after Tok, etc.
///
/// Note that this differs from the Preprocessor's LookAhead method, because
/// the Parser always has one token lexed that the preprocessor doesn't.
///
const Token &GetLookAheadToken(unsigned N) {
if (N == 0 || Tok.is(tok::eof)) return Tok;
return PP.LookAhead(N-1);
}
public:
/// NextToken - This peeks ahead one token and returns it without
/// consuming it.
const Token &NextToken() {
return PP.LookAhead(0);
}
/// getTypeAnnotation - Read a parsed type out of an annotation token.
static TypeResult getTypeAnnotation(const Token &Tok) {
if (!Tok.getAnnotationValue())
return TypeError();
return ParsedType::getFromOpaquePtr(Tok.getAnnotationValue());
}
private:
static void setTypeAnnotation(Token &Tok, TypeResult T) {
assert((T.isInvalid() || T.get()) &&
"produced a valid-but-null type annotation?");
Tok.setAnnotationValue(T.isInvalid() ? nullptr : T.get().getAsOpaquePtr());
}
static NamedDecl *getNonTypeAnnotation(const Token &Tok) {
return static_cast<NamedDecl*>(Tok.getAnnotationValue());
}
static void setNonTypeAnnotation(Token &Tok, NamedDecl *ND) {
Tok.setAnnotationValue(ND);
}
static IdentifierInfo *getIdentifierAnnotation(const Token &Tok) {
return static_cast<IdentifierInfo*>(Tok.getAnnotationValue());
}
static void setIdentifierAnnotation(Token &Tok, IdentifierInfo *ND) {
Tok.setAnnotationValue(ND);
}
/// Read an already-translated primary expression out of an annotation
/// token.
static ExprResult getExprAnnotation(const Token &Tok) {
return ExprResult::getFromOpaquePointer(Tok.getAnnotationValue());
}
/// Set the primary expression corresponding to the given annotation
/// token.
static void setExprAnnotation(Token &Tok, ExprResult ER) {
Tok.setAnnotationValue(ER.getAsOpaquePointer());
}
public:
// If NeedType is true, then TryAnnotateTypeOrScopeToken will try harder to
// find a type name by attempting typo correction.
bool TryAnnotateTypeOrScopeToken();
bool TryAnnotateTypeOrScopeTokenAfterScopeSpec(CXXScopeSpec &SS,
bool IsNewScope);
bool TryAnnotateCXXScopeToken(bool EnteringContext = false);
bool MightBeCXXScopeToken() {
return Tok.is(tok::identifier) || Tok.is(tok::coloncolon) ||
(Tok.is(tok::annot_template_id) &&
NextToken().is(tok::coloncolon)) ||
Tok.is(tok::kw_decltype) || Tok.is(tok::kw___super);
}
bool TryAnnotateOptionalCXXScopeToken(bool EnteringContext = false) {
return MightBeCXXScopeToken() && TryAnnotateCXXScopeToken(EnteringContext);
}
private:
enum AnnotatedNameKind {
/// Annotation has failed and emitted an error.
ANK_Error,
/// The identifier is a tentatively-declared name.
ANK_TentativeDecl,
/// The identifier is a template name. FIXME: Add an annotation for that.
ANK_TemplateName,
/// The identifier can't be resolved.
ANK_Unresolved,
/// Annotation was successful.
ANK_Success
};
AnnotatedNameKind TryAnnotateName(CorrectionCandidateCallback *CCC = nullptr);
/// Push a tok::annot_cxxscope token onto the token stream.
void AnnotateScopeToken(CXXScopeSpec &SS, bool IsNewAnnotation);
/// TryAltiVecToken - Check for context-sensitive AltiVec identifier tokens,
/// replacing them with the non-context-sensitive keywords. This returns
/// true if the token was replaced.
bool TryAltiVecToken(DeclSpec &DS, SourceLocation Loc,
const char *&PrevSpec, unsigned &DiagID,
bool &isInvalid) {
if (!getLangOpts().AltiVec && !getLangOpts().ZVector)
return false;
if (Tok.getIdentifierInfo() != Ident_vector &&
Tok.getIdentifierInfo() != Ident_bool &&
Tok.getIdentifierInfo() != Ident_Bool &&
(!getLangOpts().AltiVec || Tok.getIdentifierInfo() != Ident_pixel))
return false;
return TryAltiVecTokenOutOfLine(DS, Loc, PrevSpec, DiagID, isInvalid);
}
/// TryAltiVecVectorToken - Check for context-sensitive AltiVec vector
/// identifier token, replacing it with the non-context-sensitive __vector.
/// This returns true if the token was replaced.
bool TryAltiVecVectorToken() {
if ((!getLangOpts().AltiVec && !getLangOpts().ZVector) ||
Tok.getIdentifierInfo() != Ident_vector) return false;
return TryAltiVecVectorTokenOutOfLine();
}
bool TryAltiVecVectorTokenOutOfLine();
bool TryAltiVecTokenOutOfLine(DeclSpec &DS, SourceLocation Loc,
const char *&PrevSpec, unsigned &DiagID,
bool &isInvalid);
/// Returns true if the current token is the identifier 'instancetype'.
///
/// Should only be used in Objective-C language modes.
bool isObjCInstancetype() {
assert(getLangOpts().ObjC);
if (Tok.isAnnotation())
return false;
if (!Ident_instancetype)
Ident_instancetype = PP.getIdentifierInfo("instancetype");
return Tok.getIdentifierInfo() == Ident_instancetype;
}
/// TryKeywordIdentFallback - For compatibility with system headers using
/// keywords as identifiers, attempt to convert the current token to an
/// identifier and optionally disable the keyword for the remainder of the
/// translation unit. This returns false if the token was not replaced,
/// otherwise emits a diagnostic and returns true.
bool TryKeywordIdentFallback(bool DisableKeyword);
/// Get the TemplateIdAnnotation from the token.
TemplateIdAnnotation *takeTemplateIdAnnotation(const Token &tok);
/// TentativeParsingAction - An object that is used as a kind of "tentative
/// parsing transaction". It gets instantiated to mark the token position and
/// after the token consumption is done, Commit() or Revert() is called to
/// either "commit the consumed tokens" or revert to the previously marked
/// token position. Example:
///
/// TentativeParsingAction TPA(*this);
/// ConsumeToken();
/// ....
/// TPA.Revert();
///
class TentativeParsingAction {
Parser &P;
PreferredTypeBuilder PrevPreferredType;
Token PrevTok;
size_t PrevTentativelyDeclaredIdentifierCount;
unsigned short PrevParenCount, PrevBracketCount, PrevBraceCount;
bool isActive;
public:
explicit TentativeParsingAction(Parser &p)
: P(p), PrevPreferredType(P.PreferredType) {
PrevTok = P.Tok;
PrevTentativelyDeclaredIdentifierCount =
P.TentativelyDeclaredIdentifiers.size();
PrevParenCount = P.ParenCount;
PrevBracketCount = P.BracketCount;
PrevBraceCount = P.BraceCount;
P.PP.EnableBacktrackAtThisPos();
isActive = true;
}
void Commit() {
assert(isActive && "Parsing action was finished!");
P.TentativelyDeclaredIdentifiers.resize(
PrevTentativelyDeclaredIdentifierCount);
P.PP.CommitBacktrackedTokens();
isActive = false;
}
void Revert() {
assert(isActive && "Parsing action was finished!");
P.PP.Backtrack();
P.PreferredType = PrevPreferredType;
P.Tok = PrevTok;
P.TentativelyDeclaredIdentifiers.resize(
PrevTentativelyDeclaredIdentifierCount);
P.ParenCount = PrevParenCount;
P.BracketCount = PrevBracketCount;
P.BraceCount = PrevBraceCount;
isActive = false;
}
~TentativeParsingAction() {
assert(!isActive && "Forgot to call Commit or Revert!");
}
};
/// A TentativeParsingAction that automatically reverts in its destructor.
/// Useful for disambiguation parses that will always be reverted.
class RevertingTentativeParsingAction
: private Parser::TentativeParsingAction {
public:
RevertingTentativeParsingAction(Parser &P)
: Parser::TentativeParsingAction(P) {}
~RevertingTentativeParsingAction() { Revert(); }
};
class UnannotatedTentativeParsingAction;
/// ObjCDeclContextSwitch - An object used to switch context from
/// an objective-c decl context to its enclosing decl context and
/// back.
class ObjCDeclContextSwitch {
Parser &P;
Decl *DC;
SaveAndRestore<bool> WithinObjCContainer;
public:
explicit ObjCDeclContextSwitch(Parser &p)
: P(p), DC(p.getObjCDeclContext()),
WithinObjCContainer(P.ParsingInObjCContainer, DC != nullptr) {
if (DC)
P.Actions.ActOnObjCTemporaryExitContainerContext(cast<DeclContext>(DC));
}
~ObjCDeclContextSwitch() {
if (DC)
P.Actions.ActOnObjCReenterContainerContext(cast<DeclContext>(DC));
}
};
/// ExpectAndConsume - The parser expects that 'ExpectedTok' is next in the
/// input. If so, it is consumed and false is returned.
///
/// If a trivial punctuator misspelling is encountered, a FixIt error
/// diagnostic is issued and false is returned after recovery.
///
/// If the input is malformed, this emits the specified diagnostic and true is
/// returned.
bool ExpectAndConsume(tok::TokenKind ExpectedTok,
unsigned Diag = diag::err_expected,
StringRef DiagMsg = "");
/// The parser expects a semicolon and, if present, will consume it.
///
/// If the next token is not a semicolon, this emits the specified diagnostic,
/// or, if there's just some closing-delimiter noise (e.g., ')' or ']') prior
/// to the semicolon, consumes that extra token.
bool ExpectAndConsumeSemi(unsigned DiagID);
/// The kind of extra semi diagnostic to emit.
enum ExtraSemiKind {
OutsideFunction = 0,
InsideStruct = 1,
InstanceVariableList = 2,
AfterMemberFunctionDefinition = 3
};
/// Consume any extra semi-colons until the end of the line.
void ConsumeExtraSemi(ExtraSemiKind Kind, DeclSpec::TST T = TST_unspecified);
/// Return false if the next token is an identifier. An 'expected identifier'
/// error is emitted otherwise.
///
/// The parser tries to recover from the error by checking if the next token
/// is a C++ keyword when parsing Objective-C++. Return false if the recovery
/// was successful.
bool expectIdentifier();
/// Kinds of compound pseudo-tokens formed by a sequence of two real tokens.
enum class CompoundToken {
/// A '(' '{' beginning a statement-expression.
StmtExprBegin,
/// A '}' ')' ending a statement-expression.
StmtExprEnd,
/// A '[' '[' beginning a C++11 or C2x attribute.
AttrBegin,
/// A ']' ']' ending a C++11 or C2x attribute.
AttrEnd,
/// A '::' '*' forming a C++ pointer-to-member declaration.
MemberPtr,
};
/// Check that a compound operator was written in a "sensible" way, and warn
/// if not.
void checkCompoundToken(SourceLocation FirstTokLoc,
tok::TokenKind FirstTokKind, CompoundToken Op);
public:
//===--------------------------------------------------------------------===//
// Scope manipulation
/// ParseScope - Introduces a new scope for parsing. The kind of
/// scope is determined by ScopeFlags. Objects of this type should
/// be created on the stack to coincide with the position where the
/// parser enters the new scope, and this object's constructor will
/// create that new scope. Similarly, once the object is destroyed
/// the parser will exit the scope.
class ParseScope {
Parser *Self;
ParseScope(const ParseScope &) = delete;
void operator=(const ParseScope &) = delete;
public:
// ParseScope - Construct a new object to manage a scope in the
// parser Self where the new Scope is created with the flags
// ScopeFlags, but only when we aren't about to enter a compound statement.
ParseScope(Parser *Self, unsigned ScopeFlags, bool EnteredScope = true,
bool BeforeCompoundStmt = false)
: Self(Self) {
if (EnteredScope && !BeforeCompoundStmt)
Self->EnterScope(ScopeFlags);
else {
if (BeforeCompoundStmt)
Self->incrementMSManglingNumber();
this->Self = nullptr;
}
}
// Exit - Exit the scope associated with this object now, rather
// than waiting until the object is destroyed.
void Exit() {
if (Self) {
Self->ExitScope();
Self = nullptr;
}
}
~ParseScope() {
Exit();
}
};
/// Introduces zero or more scopes for parsing. The scopes will all be exited
/// when the object is destroyed.
class MultiParseScope {
Parser &Self;
unsigned NumScopes = 0;
MultiParseScope(const MultiParseScope&) = delete;
public:
MultiParseScope(Parser &Self) : Self(Self) {}
void Enter(unsigned ScopeFlags) {
Self.EnterScope(ScopeFlags);
++NumScopes;
}
void Exit() {
while (NumScopes) {
Self.ExitScope();
--NumScopes;
}
}
~MultiParseScope() {
Exit();
}
};
/// EnterScope - Start a new scope.
void EnterScope(unsigned ScopeFlags);
/// ExitScope - Pop a scope off the scope stack.
void ExitScope();
/// Re-enter the template scopes for a declaration that might be a template.
unsigned ReenterTemplateScopes(MultiParseScope &S, Decl *D);
private:
/// RAII object used to modify the scope flags for the current scope.
class ParseScopeFlags {
Scope *CurScope;
unsigned OldFlags;
ParseScopeFlags(const ParseScopeFlags &) = delete;
void operator=(const ParseScopeFlags &) = delete;
public:
ParseScopeFlags(Parser *Self, unsigned ScopeFlags, bool ManageFlags = true);
~ParseScopeFlags();
};
//===--------------------------------------------------------------------===//
// Diagnostic Emission and Error recovery.
public:
DiagnosticBuilder Diag(SourceLocation Loc, unsigned DiagID);
DiagnosticBuilder Diag(const Token &Tok, unsigned DiagID);
DiagnosticBuilder Diag(unsigned DiagID) {
return Diag(Tok, DiagID);
}
private:
void SuggestParentheses(SourceLocation Loc, unsigned DK,
SourceRange ParenRange);
void CheckNestedObjCContexts(SourceLocation AtLoc);
public:
/// Control flags for SkipUntil functions.
enum SkipUntilFlags {
StopAtSemi = 1 << 0, ///< Stop skipping at semicolon
/// Stop skipping at specified token, but don't skip the token itself
StopBeforeMatch = 1 << 1,
StopAtCodeCompletion = 1 << 2 ///< Stop at code completion
};
friend constexpr SkipUntilFlags operator|(SkipUntilFlags L,
SkipUntilFlags R) {
return static_cast<SkipUntilFlags>(static_cast<unsigned>(L) |
static_cast<unsigned>(R));
}
/// SkipUntil - Read tokens until we get to the specified token, then consume
/// it (unless StopBeforeMatch is specified). Because we cannot guarantee
/// that the token will ever occur, this skips to the next token, or to some
/// likely good stopping point. If Flags has StopAtSemi flag, skipping will
/// stop at a ';' character. Balances (), [], and {} delimiter tokens while
/// skipping.
///
/// If SkipUntil finds the specified token, it returns true, otherwise it
/// returns false.
bool SkipUntil(tok::TokenKind T,
SkipUntilFlags Flags = static_cast<SkipUntilFlags>(0)) {
return SkipUntil(llvm::makeArrayRef(T), Flags);
}
bool SkipUntil(tok::TokenKind T1, tok::TokenKind T2,
SkipUntilFlags Flags = static_cast<SkipUntilFlags>(0)) {
tok::TokenKind TokArray[] = {T1, T2};
return SkipUntil(TokArray, Flags);
}
bool SkipUntil(tok::TokenKind T1, tok::TokenKind T2, tok::TokenKind T3,
SkipUntilFlags Flags = static_cast<SkipUntilFlags>(0)) {
tok::TokenKind TokArray[] = {T1, T2, T3};
return SkipUntil(TokArray, Flags);
}
bool SkipUntil(ArrayRef<tok::TokenKind> Toks,
SkipUntilFlags Flags = static_cast<SkipUntilFlags>(0));
/// SkipMalformedDecl - Read tokens until we get to some likely good stopping
/// point for skipping past a simple-declaration.
void SkipMalformedDecl();
/// The location of the first statement inside an else that might
/// have a missleading indentation. If there is no
/// MisleadingIndentationChecker on an else active, this location is invalid.
SourceLocation MisleadingIndentationElseLoc;
private:
//===--------------------------------------------------------------------===//
// Lexing and parsing of C++ inline methods.
struct ParsingClass;
/// [class.mem]p1: "... the class is regarded as complete within
/// - function bodies
/// - default arguments
/// - exception-specifications (TODO: C++0x)
/// - and brace-or-equal-initializers for non-static data members
/// (including such things in nested classes)."
/// LateParsedDeclarations build the tree of those elements so they can
/// be parsed after parsing the top-level class.
class LateParsedDeclaration {
public:
virtual ~LateParsedDeclaration();
virtual void ParseLexedMethodDeclarations();
virtual void ParseLexedMemberInitializers();
virtual void ParseLexedMethodDefs();
virtual void ParseLexedAttributes();
virtual void ParseLexedPragmas();
};
/// Inner node of the LateParsedDeclaration tree that parses
/// all its members recursively.
class LateParsedClass : public LateParsedDeclaration {
public:
LateParsedClass(Parser *P, ParsingClass *C);
~LateParsedClass() override;
void ParseLexedMethodDeclarations() override;
void ParseLexedMemberInitializers() override;
void ParseLexedMethodDefs() override;
void ParseLexedAttributes() override;
void ParseLexedPragmas() override;
private:
Parser *Self;
ParsingClass *Class;
};
/// Contains the lexed tokens of an attribute with arguments that
/// may reference member variables and so need to be parsed at the
/// end of the class declaration after parsing all other member
/// member declarations.
/// FIXME: Perhaps we should change the name of LateParsedDeclaration to
/// LateParsedTokens.
struct LateParsedAttribute : public LateParsedDeclaration {
Parser *Self;
CachedTokens Toks;
IdentifierInfo &AttrName;
IdentifierInfo *MacroII = nullptr;
SourceLocation AttrNameLoc;
SmallVector<Decl*, 2> Decls;
explicit LateParsedAttribute(Parser *P, IdentifierInfo &Name,
SourceLocation Loc)
: Self(P), AttrName(Name), AttrNameLoc(Loc) {}
void ParseLexedAttributes() override;
void addDecl(Decl *D) { Decls.push_back(D); }
};
/// Contains the lexed tokens of a pragma with arguments that
/// may reference member variables and so need to be parsed at the
/// end of the class declaration after parsing all other member
/// member declarations.
class LateParsedPragma : public LateParsedDeclaration {
Parser *Self = nullptr;
AccessSpecifier AS = AS_none;
CachedTokens Toks;
public:
explicit LateParsedPragma(Parser *P, AccessSpecifier AS)
: Self(P), AS(AS) {}
void takeToks(CachedTokens &Cached) { Toks.swap(Cached); }
const CachedTokens &toks() const { return Toks; }
AccessSpecifier getAccessSpecifier() const { return AS; }
void ParseLexedPragmas() override;
};
// A list of late-parsed attributes. Used by ParseGNUAttributes.
class LateParsedAttrList: public SmallVector<LateParsedAttribute *, 2> {
public:
LateParsedAttrList(bool PSoon = false) : ParseSoon(PSoon) { }
bool parseSoon() { return ParseSoon; }
private:
bool ParseSoon; // Are we planning to parse these shortly after creation?
};
/// Contains the lexed tokens of a member function definition
/// which needs to be parsed at the end of the class declaration
/// after parsing all other member declarations.
struct LexedMethod : public LateParsedDeclaration {
Parser *Self;
Decl *D;
CachedTokens Toks;
explicit LexedMethod(Parser *P, Decl *MD) : Self(P), D(MD) {}
void ParseLexedMethodDefs() override;
};
/// LateParsedDefaultArgument - Keeps track of a parameter that may
/// have a default argument that cannot be parsed yet because it
/// occurs within a member function declaration inside the class
/// (C++ [class.mem]p2).
struct LateParsedDefaultArgument {
explicit LateParsedDefaultArgument(Decl *P,
std::unique_ptr<CachedTokens> Toks = nullptr)
: Param(P), Toks(std::move(Toks)) { }
/// Param - The parameter declaration for this parameter.
Decl *Param;
/// Toks - The sequence of tokens that comprises the default
/// argument expression, not including the '=' or the terminating
/// ')' or ','. This will be NULL for parameters that have no
/// default argument.
std::unique_ptr<CachedTokens> Toks;
};
/// LateParsedMethodDeclaration - A method declaration inside a class that
/// contains at least one entity whose parsing needs to be delayed
/// until the class itself is completely-defined, such as a default
/// argument (C++ [class.mem]p2).
struct LateParsedMethodDeclaration : public LateParsedDeclaration {
explicit LateParsedMethodDeclaration(Parser *P, Decl *M)
: Self(P), Method(M), ExceptionSpecTokens(nullptr) {}
void ParseLexedMethodDeclarations() override;
Parser *Self;
/// Method - The method declaration.
Decl *Method;
/// DefaultArgs - Contains the parameters of the function and
/// their default arguments. At least one of the parameters will
/// have a default argument, but all of the parameters of the
/// method will be stored so that they can be reintroduced into
/// scope at the appropriate times.
SmallVector<LateParsedDefaultArgument, 8> DefaultArgs;
/// The set of tokens that make up an exception-specification that
/// has not yet been parsed.
CachedTokens *ExceptionSpecTokens;
};
/// LateParsedMemberInitializer - An initializer for a non-static class data
/// member whose parsing must to be delayed until the class is completely
/// defined (C++11 [class.mem]p2).
struct LateParsedMemberInitializer : public LateParsedDeclaration {
LateParsedMemberInitializer(Parser *P, Decl *FD)
: Self(P), Field(FD) { }
void ParseLexedMemberInitializers() override;
Parser *Self;
/// Field - The field declaration.
Decl *Field;
/// CachedTokens - The sequence of tokens that comprises the initializer,
/// including any leading '='.
CachedTokens Toks;
};
/// LateParsedDeclarationsContainer - During parsing of a top (non-nested)
/// C++ class, its method declarations that contain parts that won't be
/// parsed until after the definition is completed (C++ [class.mem]p2),
/// the method declarations and possibly attached inline definitions
/// will be stored here with the tokens that will be parsed to create those
/// entities.
typedef SmallVector<LateParsedDeclaration*,2> LateParsedDeclarationsContainer;
/// Representation of a class that has been parsed, including
/// any member function declarations or definitions that need to be
/// parsed after the corresponding top-level class is complete.
struct ParsingClass {
ParsingClass(Decl *TagOrTemplate, bool TopLevelClass, bool IsInterface)
: TopLevelClass(TopLevelClass), IsInterface(IsInterface),
TagOrTemplate(TagOrTemplate) {}
/// Whether this is a "top-level" class, meaning that it is
/// not nested within another class.
bool TopLevelClass : 1;
/// Whether this class is an __interface.
bool IsInterface : 1;
/// The class or class template whose definition we are parsing.
Decl *TagOrTemplate;
/// LateParsedDeclarations - Method declarations, inline definitions and
/// nested classes that contain pieces whose parsing will be delayed until
/// the top-level class is fully defined.
LateParsedDeclarationsContainer LateParsedDeclarations;
};
/// The stack of classes that is currently being
/// parsed. Nested and local classes will be pushed onto this stack
/// when they are parsed, and removed afterward.
std::stack<ParsingClass *> ClassStack;
ParsingClass &getCurrentClass() {
assert(!ClassStack.empty() && "No lexed method stacks!");
return *ClassStack.top();
}
/// RAII object used to manage the parsing of a class definition.
class ParsingClassDefinition {
Parser &P;
bool Popped;
Sema::ParsingClassState State;
public:
ParsingClassDefinition(Parser &P, Decl *TagOrTemplate, bool TopLevelClass,
bool IsInterface)
: P(P), Popped(false),
State(P.PushParsingClass(TagOrTemplate, TopLevelClass, IsInterface)) {
}
/// Pop this class of the stack.
void Pop() {
assert(!Popped && "Nested class has already been popped");
Popped = true;
P.PopParsingClass(State);
}
~ParsingClassDefinition() {
if (!Popped)
P.PopParsingClass(State);
}
};
/// Contains information about any template-specific
/// information that has been parsed prior to parsing declaration
/// specifiers.
struct ParsedTemplateInfo {
ParsedTemplateInfo()
: Kind(NonTemplate), TemplateParams(nullptr), TemplateLoc() { }
ParsedTemplateInfo(TemplateParameterLists *TemplateParams,
bool isSpecialization,
bool lastParameterListWasEmpty = false)
: Kind(isSpecialization? ExplicitSpecialization : Template),
TemplateParams(TemplateParams),
LastParameterListWasEmpty(lastParameterListWasEmpty) { }
explicit ParsedTemplateInfo(SourceLocation ExternLoc,
SourceLocation TemplateLoc)
: Kind(ExplicitInstantiation), TemplateParams(nullptr),
ExternLoc(ExternLoc), TemplateLoc(TemplateLoc),
LastParameterListWasEmpty(false){ }
/// The kind of template we are parsing.
enum {
/// We are not parsing a template at all.
NonTemplate = 0,
/// We are parsing a template declaration.
Template,
/// We are parsing an explicit specialization.
ExplicitSpecialization,
/// We are parsing an explicit instantiation.
ExplicitInstantiation
} Kind;
/// The template parameter lists, for template declarations
/// and explicit specializations.
TemplateParameterLists *TemplateParams;
/// The location of the 'extern' keyword, if any, for an explicit
/// instantiation
SourceLocation ExternLoc;
/// The location of the 'template' keyword, for an explicit
/// instantiation.
SourceLocation TemplateLoc;
/// Whether the last template parameter list was empty.
bool LastParameterListWasEmpty;
SourceRange getSourceRange() const LLVM_READONLY;
};
// In ParseCXXInlineMethods.cpp.
struct ReenterTemplateScopeRAII;
struct ReenterClassScopeRAII;
void LexTemplateFunctionForLateParsing(CachedTokens &Toks);
void ParseLateTemplatedFuncDef(LateParsedTemplate &LPT);
static void LateTemplateParserCallback(void *P, LateParsedTemplate &LPT);
Sema::ParsingClassState
PushParsingClass(Decl *TagOrTemplate, bool TopLevelClass, bool IsInterface);
void DeallocateParsedClasses(ParsingClass *Class);
void PopParsingClass(Sema::ParsingClassState);
enum CachedInitKind {
CIK_DefaultArgument,
CIK_DefaultInitializer
};
NamedDecl *ParseCXXInlineMethodDef(AccessSpecifier AS,
ParsedAttributes &AccessAttrs,
ParsingDeclarator &D,
const ParsedTemplateInfo &TemplateInfo,
const VirtSpecifiers &VS,
SourceLocation PureSpecLoc);
void ParseCXXNonStaticMemberInitializer(Decl *VarD);
void ParseLexedAttributes(ParsingClass &Class);
void ParseLexedAttributeList(LateParsedAttrList &LAs, Decl *D,
bool EnterScope, bool OnDefinition);
void ParseLexedAttribute(LateParsedAttribute &LA,
bool EnterScope, bool OnDefinition);
void ParseLexedMethodDeclarations(ParsingClass &Class);
void ParseLexedMethodDeclaration(LateParsedMethodDeclaration &LM);
void ParseLexedMethodDefs(ParsingClass &Class);
void ParseLexedMethodDef(LexedMethod &LM);
void ParseLexedMemberInitializers(ParsingClass &Class);
void ParseLexedMemberInitializer(LateParsedMemberInitializer &MI);
void ParseLexedObjCMethodDefs(LexedMethod &LM, bool parseMethod);
void ParseLexedPragmas(ParsingClass &Class);
void ParseLexedPragma(LateParsedPragma &LP);
bool ConsumeAndStoreFunctionPrologue(CachedTokens &Toks);
bool ConsumeAndStoreInitializer(CachedTokens &Toks, CachedInitKind CIK);
bool ConsumeAndStoreConditional(CachedTokens &Toks);
bool ConsumeAndStoreUntil(tok::TokenKind T1,
CachedTokens &Toks,
bool StopAtSemi = true,
bool ConsumeFinalToken = true) {
return ConsumeAndStoreUntil(T1, T1, Toks, StopAtSemi, ConsumeFinalToken);
}
bool ConsumeAndStoreUntil(tok::TokenKind T1, tok::TokenKind T2,
CachedTokens &Toks,
bool StopAtSemi = true,
bool ConsumeFinalToken = true);
//===--------------------------------------------------------------------===//
// C99 6.9: External Definitions.
DeclGroupPtrTy ParseExternalDeclaration(ParsedAttributesWithRange &attrs,
ParsingDeclSpec *DS = nullptr);
bool isDeclarationAfterDeclarator();
bool isStartOfFunctionDefinition(const ParsingDeclarator &Declarator);
DeclGroupPtrTy ParseDeclarationOrFunctionDefinition(
ParsedAttributesWithRange &attrs,
ParsingDeclSpec *DS = nullptr,
AccessSpecifier AS = AS_none);
DeclGroupPtrTy ParseDeclOrFunctionDefInternal(ParsedAttributesWithRange &attrs,
ParsingDeclSpec &DS,
AccessSpecifier AS);
void SkipFunctionBody();
Decl *ParseFunctionDefinition(ParsingDeclarator &D,
const ParsedTemplateInfo &TemplateInfo = ParsedTemplateInfo(),
LateParsedAttrList *LateParsedAttrs = nullptr);
void ParseKNRParamDeclarations(Declarator &D);
// EndLoc is filled with the location of the last token of the simple-asm.
ExprResult ParseSimpleAsm(bool ForAsmLabel, SourceLocation *EndLoc);
ExprResult ParseAsmStringLiteral(bool ForAsmLabel);
// Objective-C External Declarations
void MaybeSkipAttributes(tok::ObjCKeywordKind Kind);
DeclGroupPtrTy ParseObjCAtDirectives(ParsedAttributesWithRange &Attrs);
DeclGroupPtrTy ParseObjCAtClassDeclaration(SourceLocation atLoc);
Decl *ParseObjCAtInterfaceDeclaration(SourceLocation AtLoc,
ParsedAttributes &prefixAttrs);
class ObjCTypeParamListScope;
ObjCTypeParamList *parseObjCTypeParamList();
ObjCTypeParamList *parseObjCTypeParamListOrProtocolRefs(
ObjCTypeParamListScope &Scope, SourceLocation &lAngleLoc,
SmallVectorImpl<IdentifierLocPair> &protocolIdents,
SourceLocation &rAngleLoc, bool mayBeProtocolList = true);
void HelperActionsForIvarDeclarations(Decl *interfaceDecl, SourceLocation atLoc,
BalancedDelimiterTracker &T,
SmallVectorImpl<Decl *> &AllIvarDecls,
bool RBraceMissing);
void ParseObjCClassInstanceVariables(Decl *interfaceDecl,
tok::ObjCKeywordKind visibility,
SourceLocation atLoc);
bool ParseObjCProtocolReferences(SmallVectorImpl<Decl *> &P,
SmallVectorImpl<SourceLocation> &PLocs,
bool WarnOnDeclarations,
bool ForObjCContainer,
SourceLocation &LAngleLoc,
SourceLocation &EndProtoLoc,
bool consumeLastToken);
/// Parse the first angle-bracket-delimited clause for an
/// Objective-C object or object pointer type, which may be either
/// type arguments or protocol qualifiers.
void parseObjCTypeArgsOrProtocolQualifiers(
ParsedType baseType,
SourceLocation &typeArgsLAngleLoc,
SmallVectorImpl<ParsedType> &typeArgs,
SourceLocation &typeArgsRAngleLoc,
SourceLocation &protocolLAngleLoc,
SmallVectorImpl<Decl *> &protocols,
SmallVectorImpl<SourceLocation> &protocolLocs,
SourceLocation &protocolRAngleLoc,
bool consumeLastToken,
bool warnOnIncompleteProtocols);
/// Parse either Objective-C type arguments or protocol qualifiers; if the
/// former, also parse protocol qualifiers afterward.
void parseObjCTypeArgsAndProtocolQualifiers(
ParsedType baseType,
SourceLocation &typeArgsLAngleLoc,
SmallVectorImpl<ParsedType> &typeArgs,
SourceLocation &typeArgsRAngleLoc,
SourceLocation &protocolLAngleLoc,
SmallVectorImpl<Decl *> &protocols,
SmallVectorImpl<SourceLocation> &protocolLocs,
SourceLocation &protocolRAngleLoc,
bool consumeLastToken);
/// Parse a protocol qualifier type such as '<NSCopying>', which is
/// an anachronistic way of writing 'id<NSCopying>'.
TypeResult parseObjCProtocolQualifierType(SourceLocation &rAngleLoc);
/// Parse Objective-C type arguments and protocol qualifiers, extending the
/// current type with the parsed result.
TypeResult parseObjCTypeArgsAndProtocolQualifiers(SourceLocation loc,
ParsedType type,
bool consumeLastToken,
SourceLocation &endLoc);
void ParseObjCInterfaceDeclList(tok::ObjCKeywordKind contextKey,
Decl *CDecl);
DeclGroupPtrTy ParseObjCAtProtocolDeclaration(SourceLocation atLoc,
ParsedAttributes &prefixAttrs);
struct ObjCImplParsingDataRAII {
Parser &P;
Decl *Dcl;
bool HasCFunction;
typedef SmallVector<LexedMethod*, 8> LateParsedObjCMethodContainer;
LateParsedObjCMethodContainer LateParsedObjCMethods;
ObjCImplParsingDataRAII(Parser &parser, Decl *D)
: P(parser), Dcl(D), HasCFunction(false) {
P.CurParsedObjCImpl = this;
Finished = false;
}
~ObjCImplParsingDataRAII();
void finish(SourceRange AtEnd);
bool isFinished() const { return Finished; }
private:
bool Finished;
};
ObjCImplParsingDataRAII *CurParsedObjCImpl;
void StashAwayMethodOrFunctionBodyTokens(Decl *MDecl);
DeclGroupPtrTy ParseObjCAtImplementationDeclaration(SourceLocation AtLoc,
ParsedAttributes &Attrs);
DeclGroupPtrTy ParseObjCAtEndDeclaration(SourceRange atEnd);
Decl *ParseObjCAtAliasDeclaration(SourceLocation atLoc);
Decl *ParseObjCPropertySynthesize(SourceLocation atLoc);
Decl *ParseObjCPropertyDynamic(SourceLocation atLoc);
IdentifierInfo *ParseObjCSelectorPiece(SourceLocation &MethodLocation);
// Definitions for Objective-c context sensitive keywords recognition.
enum ObjCTypeQual {
objc_in=0, objc_out, objc_inout, objc_oneway, objc_bycopy, objc_byref,
objc_nonnull, objc_nullable, objc_null_unspecified,
objc_NumQuals
};
IdentifierInfo *ObjCTypeQuals[objc_NumQuals];
bool isTokIdentifier_in() const;
ParsedType ParseObjCTypeName(ObjCDeclSpec &DS, DeclaratorContext Ctx,
ParsedAttributes *ParamAttrs);
Decl *ParseObjCMethodPrototype(
tok::ObjCKeywordKind MethodImplKind = tok::objc_not_keyword,
bool MethodDefinition = true);
Decl *ParseObjCMethodDecl(SourceLocation mLoc, tok::TokenKind mType,
tok::ObjCKeywordKind MethodImplKind = tok::objc_not_keyword,
bool MethodDefinition=true);
void ParseObjCPropertyAttribute(ObjCDeclSpec &DS);
Decl *ParseObjCMethodDefinition();
public:
//===--------------------------------------------------------------------===//
// C99 6.5: Expressions.
/// TypeCastState - State whether an expression is or may be a type cast.
enum TypeCastState {
NotTypeCast = 0,
MaybeTypeCast,
IsTypeCast
};
ExprResult ParseExpression(TypeCastState isTypeCast = NotTypeCast);
ExprResult ParseConstantExpressionInExprEvalContext(
TypeCastState isTypeCast = NotTypeCast);
ExprResult ParseConstantExpression(TypeCastState isTypeCast = NotTypeCast);
ExprResult ParseCaseExpression(SourceLocation CaseLoc);
ExprResult ParseConstraintExpression();
ExprResult
ParseConstraintLogicalAndExpression(bool IsTrailingRequiresClause);
ExprResult ParseConstraintLogicalOrExpression(bool IsTrailingRequiresClause);
// Expr that doesn't include commas.
ExprResult ParseAssignmentExpression(TypeCastState isTypeCast = NotTypeCast);
ExprResult ParseMSAsmIdentifier(llvm::SmallVectorImpl<Token> &LineToks,
unsigned &NumLineToksConsumed,
bool IsUnevaluated);
ExprResult ParseStringLiteralExpression(bool AllowUserDefinedLiteral = false);
private:
ExprResult ParseExpressionWithLeadingAt(SourceLocation AtLoc);
ExprResult ParseExpressionWithLeadingExtension(SourceLocation ExtLoc);
ExprResult ParseRHSOfBinaryExpression(ExprResult LHS,
prec::Level MinPrec);
/// Control what ParseCastExpression will parse.
enum CastParseKind {
AnyCastExpr = 0,
UnaryExprOnly,
PrimaryExprOnly
};
ExprResult ParseCastExpression(CastParseKind ParseKind,
bool isAddressOfOperand,
bool &NotCastExpr,
TypeCastState isTypeCast,
bool isVectorLiteral = false,
bool *NotPrimaryExpression = nullptr);
ExprResult ParseCastExpression(CastParseKind ParseKind,
bool isAddressOfOperand = false,
TypeCastState isTypeCast = NotTypeCast,
bool isVectorLiteral = false,
bool *NotPrimaryExpression = nullptr);
/// Returns true if the next token cannot start an expression.
bool isNotExpressionStart();
/// Returns true if the next token would start a postfix-expression
/// suffix.
bool isPostfixExpressionSuffixStart() {
tok::TokenKind K = Tok.getKind();
return (K == tok::l_square || K == tok::l_paren ||
K == tok::period || K == tok::arrow ||
K == tok::plusplus || K == tok::minusminus);
}
bool diagnoseUnknownTemplateId(ExprResult TemplateName, SourceLocation Less);
void checkPotentialAngleBracket(ExprResult &PotentialTemplateName);
bool checkPotentialAngleBracketDelimiter(const AngleBracketTracker::Loc &,
const Token &OpToken);
bool checkPotentialAngleBracketDelimiter(const Token &OpToken) {
if (auto *Info = AngleBrackets.getCurrent(*this))
return checkPotentialAngleBracketDelimiter(*Info, OpToken);
return false;
}
ExprResult ParsePostfixExpressionSuffix(ExprResult LHS);
ExprResult ParseUnaryExprOrTypeTraitExpression();
ExprResult ParseBuiltinPrimaryExpression();
ExprResult ParseSYCLUniqueStableNameExpression();
ExprResult ParseExprAfterUnaryExprOrTypeTrait(const Token &OpTok,
bool &isCastExpr,
ParsedType &CastTy,
SourceRange &CastRange);
typedef SmallVector<SourceLocation, 20> CommaLocsTy;
/// ParseExpressionList - Used for C/C++ (argument-)expression-list.
bool ParseExpressionList(SmallVectorImpl<Expr *> &Exprs,
SmallVectorImpl<SourceLocation> &CommaLocs,
llvm::function_ref<void()> ExpressionStarts =
llvm::function_ref<void()>());
/// ParseSimpleExpressionList - A simple comma-separated list of expressions,
/// used for misc language extensions.
bool ParseSimpleExpressionList(SmallVectorImpl<Expr*> &Exprs,
SmallVectorImpl<SourceLocation> &CommaLocs);
/// ParenParseOption - Control what ParseParenExpression will parse.
enum ParenParseOption {
SimpleExpr, // Only parse '(' expression ')'
FoldExpr, // Also allow fold-expression <anything>
CompoundStmt, // Also allow '(' compound-statement ')'
CompoundLiteral, // Also allow '(' type-name ')' '{' ... '}'
CastExpr // Also allow '(' type-name ')' <anything>
};
ExprResult ParseParenExpression(ParenParseOption &ExprType,
bool stopIfCastExpr,
bool isTypeCast,
ParsedType &CastTy,
SourceLocation &RParenLoc);
ExprResult ParseCXXAmbiguousParenExpression(
ParenParseOption &ExprType, ParsedType &CastTy,
BalancedDelimiterTracker &Tracker, ColonProtectionRAIIObject &ColonProt);
ExprResult ParseCompoundLiteralExpression(ParsedType Ty,
SourceLocation LParenLoc,
SourceLocation RParenLoc);
ExprResult ParseGenericSelectionExpression();
ExprResult ParseObjCBoolLiteral();
ExprResult ParseFoldExpression(ExprResult LHS, BalancedDelimiterTracker &T);
//===--------------------------------------------------------------------===//
// C++ Expressions
ExprResult tryParseCXXIdExpression(CXXScopeSpec &SS, bool isAddressOfOperand,
Token &Replacement);
ExprResult ParseCXXIdExpression(bool isAddressOfOperand = false);
bool areTokensAdjacent(const Token &A, const Token &B);
void CheckForTemplateAndDigraph(Token &Next, ParsedType ObjectTypePtr,
bool EnteringContext, IdentifierInfo &II,
CXXScopeSpec &SS);
bool ParseOptionalCXXScopeSpecifier(CXXScopeSpec &SS,
ParsedType ObjectType,
bool ObjectHasErrors,
bool EnteringContext,
bool *MayBePseudoDestructor = nullptr,
bool IsTypename = false,
IdentifierInfo **LastII = nullptr,
bool OnlyNamespace = false,
bool InUsingDeclaration = false);
//===--------------------------------------------------------------------===//
// C++11 5.1.2: Lambda expressions
/// Result of tentatively parsing a lambda-introducer.
enum class LambdaIntroducerTentativeParse {
/// This appears to be a lambda-introducer, which has been fully parsed.
Success,
/// This is a lambda-introducer, but has not been fully parsed, and this
/// function needs to be called again to parse it.
Incomplete,
/// This is definitely an Objective-C message send expression, rather than
/// a lambda-introducer, attribute-specifier, or array designator.
MessageSend,
/// This is not a lambda-introducer.
Invalid,
};
// [...] () -> type {...}
ExprResult ParseLambdaExpression();
ExprResult TryParseLambdaExpression();
bool
ParseLambdaIntroducer(LambdaIntroducer &Intro,
LambdaIntroducerTentativeParse *Tentative = nullptr);
ExprResult ParseLambdaExpressionAfterIntroducer(LambdaIntroducer &Intro);
//===--------------------------------------------------------------------===//
// C++ 5.2p1: C++ Casts
ExprResult ParseCXXCasts();
/// Parse a __builtin_bit_cast(T, E), used to implement C++2a std::bit_cast.
ExprResult ParseBuiltinBitCast();
//===--------------------------------------------------------------------===//
// C++ 5.2p1: C++ Type Identification
ExprResult ParseCXXTypeid();
//===--------------------------------------------------------------------===//
// C++ : Microsoft __uuidof Expression
ExprResult ParseCXXUuidof();
//===--------------------------------------------------------------------===//
// C++ 5.2.4: C++ Pseudo-Destructor Expressions
ExprResult ParseCXXPseudoDestructor(Expr *Base, SourceLocation OpLoc,
tok::TokenKind OpKind,
CXXScopeSpec &SS,
ParsedType ObjectType);
//===--------------------------------------------------------------------===//
// C++ 9.3.2: C++ 'this' pointer
ExprResult ParseCXXThis();
//===--------------------------------------------------------------------===//
// C++ 15: C++ Throw Expression
ExprResult ParseThrowExpression();
ExceptionSpecificationType tryParseExceptionSpecification(
bool Delayed,
SourceRange &SpecificationRange,
SmallVectorImpl<ParsedType> &DynamicExceptions,
SmallVectorImpl<SourceRange> &DynamicExceptionRanges,
ExprResult &NoexceptExpr,
CachedTokens *&ExceptionSpecTokens);
// EndLoc is filled with the location of the last token of the specification.
ExceptionSpecificationType ParseDynamicExceptionSpecification(
SourceRange &SpecificationRange,
SmallVectorImpl<ParsedType> &Exceptions,
SmallVectorImpl<SourceRange> &Ranges);
//===--------------------------------------------------------------------===//
// C++0x 8: Function declaration trailing-return-type
TypeResult ParseTrailingReturnType(SourceRange &Range,
bool MayBeFollowedByDirectInit);
//===--------------------------------------------------------------------===//
// C++ 2.13.5: C++ Boolean Literals
ExprResult ParseCXXBoolLiteral();
//===--------------------------------------------------------------------===//
// C++ 5.2.3: Explicit type conversion (functional notation)
ExprResult ParseCXXTypeConstructExpression(const DeclSpec &DS);
/// ParseCXXSimpleTypeSpecifier - [C++ 7.1.5.2] Simple type specifiers.
/// This should only be called when the current token is known to be part of
/// simple-type-specifier.
void ParseCXXSimpleTypeSpecifier(DeclSpec &DS);
bool ParseCXXTypeSpecifierSeq(DeclSpec &DS);
//===--------------------------------------------------------------------===//
// C++ 5.3.4 and 5.3.5: C++ new and delete
bool ParseExpressionListOrTypeId(SmallVectorImpl<Expr*> &Exprs,
Declarator &D);
void ParseDirectNewDeclarator(Declarator &D);
ExprResult ParseCXXNewExpression(bool UseGlobal, SourceLocation Start);
ExprResult ParseCXXDeleteExpression(bool UseGlobal,
SourceLocation Start);
//===--------------------------------------------------------------------===//
// C++ if/switch/while/for condition expression.
struct ForRangeInfo;
Sema::ConditionResult ParseCXXCondition(StmtResult *InitStmt,
SourceLocation Loc,
Sema::ConditionKind CK,
bool MissingOK,
ForRangeInfo *FRI = nullptr,
bool EnterForConditionScope = false);
DeclGroupPtrTy
ParseAliasDeclarationInInitStatement(DeclaratorContext Context,
ParsedAttributesWithRange &Attrs);
//===--------------------------------------------------------------------===//
// C++ Coroutines
ExprResult ParseCoyieldExpression();
//===--------------------------------------------------------------------===//
// C++ Concepts
ExprResult ParseRequiresExpression();
void ParseTrailingRequiresClause(Declarator &D);
//===--------------------------------------------------------------------===//
// C99 6.7.8: Initialization.
/// ParseInitializer
/// initializer: [C99 6.7.8]
/// assignment-expression
/// '{' ...
ExprResult ParseInitializer() {
if (Tok.isNot(tok::l_brace))
return ParseAssignmentExpression();
return ParseBraceInitializer();
}
bool MayBeDesignationStart();
ExprResult ParseBraceInitializer();
struct DesignatorCompletionInfo {
SmallVectorImpl<Expr *> &InitExprs;
QualType PreferredBaseType;
};
ExprResult ParseInitializerWithPotentialDesignator(DesignatorCompletionInfo);
//===--------------------------------------------------------------------===//
// clang Expressions
ExprResult ParseBlockLiteralExpression(); // ^{...}
//===--------------------------------------------------------------------===//
// Objective-C Expressions
ExprResult ParseObjCAtExpression(SourceLocation AtLocation);
ExprResult ParseObjCStringLiteral(SourceLocation AtLoc);
ExprResult ParseObjCCharacterLiteral(SourceLocation AtLoc);
ExprResult ParseObjCNumericLiteral(SourceLocation AtLoc);
ExprResult ParseObjCBooleanLiteral(SourceLocation AtLoc, bool ArgValue);
ExprResult ParseObjCArrayLiteral(SourceLocation AtLoc);
ExprResult ParseObjCDictionaryLiteral(SourceLocation AtLoc);
ExprResult ParseObjCBoxedExpr(SourceLocation AtLoc);
ExprResult ParseObjCEncodeExpression(SourceLocation AtLoc);
ExprResult ParseObjCSelectorExpression(SourceLocation AtLoc);
ExprResult ParseObjCProtocolExpression(SourceLocation AtLoc);
bool isSimpleObjCMessageExpression();
ExprResult ParseObjCMessageExpression();
ExprResult ParseObjCMessageExpressionBody(SourceLocation LBracloc,
SourceLocation SuperLoc,
ParsedType ReceiverType,
Expr *ReceiverExpr);
ExprResult ParseAssignmentExprWithObjCMessageExprStart(
SourceLocation LBracloc, SourceLocation SuperLoc,
ParsedType ReceiverType, Expr *ReceiverExpr);
bool ParseObjCXXMessageReceiver(bool &IsExpr, void *&TypeOrExpr);
//===--------------------------------------------------------------------===//
// C99 6.8: Statements and Blocks.
/// A SmallVector of statements, with stack size 32 (as that is the only one
/// used.)
typedef SmallVector<Stmt*, 32> StmtVector;
/// A SmallVector of expressions, with stack size 12 (the maximum used.)
typedef SmallVector<Expr*, 12> ExprVector;
/// A SmallVector of types.
typedef SmallVector<ParsedType, 12> TypeVector;
StmtResult
ParseStatement(SourceLocation *TrailingElseLoc = nullptr,
ParsedStmtContext StmtCtx = ParsedStmtContext::SubStmt);
StmtResult ParseStatementOrDeclaration(
StmtVector &Stmts, ParsedStmtContext StmtCtx,
SourceLocation *TrailingElseLoc = nullptr);
StmtResult ParseStatementOrDeclarationAfterAttributes(
StmtVector &Stmts,
ParsedStmtContext StmtCtx,
SourceLocation *TrailingElseLoc,
ParsedAttributesWithRange &Attrs);
StmtResult ParseExprStatement(ParsedStmtContext StmtCtx);
StmtResult ParseLabeledStatement(ParsedAttributesWithRange &attrs,
ParsedStmtContext StmtCtx);
StmtResult ParseCaseStatement(ParsedStmtContext StmtCtx,
bool MissingCase = false,
ExprResult Expr = ExprResult());
StmtResult ParseDefaultStatement(ParsedStmtContext StmtCtx);
StmtResult ParseCompoundStatement(bool isStmtExpr = false);
StmtResult ParseCompoundStatement(bool isStmtExpr,
unsigned ScopeFlags);
void ParseCompoundStatementLeadingPragmas();
bool ConsumeNullStmt(StmtVector &Stmts);
StmtResult ParseCompoundStatementBody(bool isStmtExpr = false);
bool ParseParenExprOrCondition(StmtResult *InitStmt,
Sema::ConditionResult &CondResult,
SourceLocation Loc, Sema::ConditionKind CK,
bool MissingOK, SourceLocation *LParenLoc,
SourceLocation *RParenLoc);
StmtResult ParseIfStatement(SourceLocation *TrailingElseLoc);
StmtResult ParseSwitchStatement(SourceLocation *TrailingElseLoc);
StmtResult ParseWhileStatement(SourceLocation *TrailingElseLoc);
StmtResult ParseDoStatement();
StmtResult ParseForStatement(SourceLocation *TrailingElseLoc);
StmtResult ParseGotoStatement();
StmtResult ParseContinueStatement();
StmtResult ParseBreakStatement();
StmtResult ParseReturnStatement();
StmtResult ParseAsmStatement(bool &msAsm);
StmtResult ParseMicrosoftAsmStatement(SourceLocation AsmLoc);
StmtResult ParsePragmaLoopHint(StmtVector &Stmts,
ParsedStmtContext StmtCtx,
SourceLocation *TrailingElseLoc,
ParsedAttributesWithRange &Attrs);
/// Describes the behavior that should be taken for an __if_exists
/// block.
enum IfExistsBehavior {
/// Parse the block; this code is always used.
IEB_Parse,
/// Skip the block entirely; this code is never used.
IEB_Skip,
/// Parse the block as a dependent block, which may be used in
/// some template instantiations but not others.
IEB_Dependent
};
/// Describes the condition of a Microsoft __if_exists or
/// __if_not_exists block.
struct IfExistsCondition {
/// The location of the initial keyword.
SourceLocation KeywordLoc;
/// Whether this is an __if_exists block (rather than an
/// __if_not_exists block).
bool IsIfExists;
/// Nested-name-specifier preceding the name.
CXXScopeSpec SS;
/// The name we're looking for.
UnqualifiedId Name;
/// The behavior of this __if_exists or __if_not_exists block
/// should.
IfExistsBehavior Behavior;
};
bool ParseMicrosoftIfExistsCondition(IfExistsCondition& Result);
void ParseMicrosoftIfExistsStatement(StmtVector &Stmts);
void ParseMicrosoftIfExistsExternalDeclaration();
void ParseMicrosoftIfExistsClassDeclaration(DeclSpec::TST TagType,
ParsedAttributes &AccessAttrs,
AccessSpecifier &CurAS);
bool ParseMicrosoftIfExistsBraceInitializer(ExprVector &InitExprs,
bool &InitExprsOk);
bool ParseAsmOperandsOpt(SmallVectorImpl<IdentifierInfo *> &Names,
SmallVectorImpl<Expr *> &Constraints,
SmallVectorImpl<Expr *> &Exprs);
//===--------------------------------------------------------------------===//
// C++ 6: Statements and Blocks
StmtResult ParseCXXTryBlock();
StmtResult ParseCXXTryBlockCommon(SourceLocation TryLoc, bool FnTry = false);
StmtResult ParseCXXCatchBlock(bool FnCatch = false);
//===--------------------------------------------------------------------===//
// MS: SEH Statements and Blocks
StmtResult ParseSEHTryBlock();
StmtResult ParseSEHExceptBlock(SourceLocation Loc);
StmtResult ParseSEHFinallyBlock(SourceLocation Loc);
StmtResult ParseSEHLeaveStatement();
//===--------------------------------------------------------------------===//
// Objective-C Statements
StmtResult ParseObjCAtStatement(SourceLocation atLoc,
ParsedStmtContext StmtCtx);
StmtResult ParseObjCTryStmt(SourceLocation atLoc);
StmtResult ParseObjCThrowStmt(SourceLocation atLoc);
StmtResult ParseObjCSynchronizedStmt(SourceLocation atLoc);
StmtResult ParseObjCAutoreleasePoolStmt(SourceLocation atLoc);
//===--------------------------------------------------------------------===//
// C99 6.7: Declarations.
/// A context for parsing declaration specifiers. TODO: flesh this
/// out, there are other significant restrictions on specifiers than
/// would be best implemented in the parser.
enum class DeclSpecContext {
DSC_normal, // normal context
DSC_class, // class context, enables 'friend'
DSC_type_specifier, // C++ type-specifier-seq or C specifier-qualifier-list
DSC_trailing, // C++11 trailing-type-specifier in a trailing return type
DSC_alias_declaration, // C++11 type-specifier-seq in an alias-declaration
DSC_top_level, // top-level/namespace declaration context
DSC_template_param, // template parameter context
DSC_template_type_arg, // template type argument context
DSC_objc_method_result, // ObjC method result context, enables 'instancetype'
DSC_condition // condition declaration context
};
/// Is this a context in which we are parsing just a type-specifier (or
/// trailing-type-specifier)?
static bool isTypeSpecifier(DeclSpecContext DSC) {
switch (DSC) {
case DeclSpecContext::DSC_normal:
case DeclSpecContext::DSC_template_param:
case DeclSpecContext::DSC_class:
case DeclSpecContext::DSC_top_level:
case DeclSpecContext::DSC_objc_method_result:
case DeclSpecContext::DSC_condition:
return false;
case DeclSpecContext::DSC_template_type_arg:
case DeclSpecContext::DSC_type_specifier:
case DeclSpecContext::DSC_trailing:
case DeclSpecContext::DSC_alias_declaration:
return true;
}
llvm_unreachable("Missing DeclSpecContext case");
}
/// Whether a defining-type-specifier is permitted in a given context.
enum class AllowDefiningTypeSpec {
/// The grammar doesn't allow a defining-type-specifier here, and we must
/// not parse one (eg, because a '{' could mean something else).
No,
/// The grammar doesn't allow a defining-type-specifier here, but we permit
/// one for error recovery purposes. Sema will reject.
NoButErrorRecovery,
/// The grammar allows a defining-type-specifier here, even though it's
/// always invalid. Sema will reject.
YesButInvalid,
/// The grammar allows a defining-type-specifier here, and one can be valid.
Yes
};
/// Is this a context in which we are parsing defining-type-specifiers (and
/// so permit class and enum definitions in addition to non-defining class and
/// enum elaborated-type-specifiers)?
static AllowDefiningTypeSpec
isDefiningTypeSpecifierContext(DeclSpecContext DSC) {
switch (DSC) {
case DeclSpecContext::DSC_normal:
case DeclSpecContext::DSC_class:
case DeclSpecContext::DSC_top_level:
case DeclSpecContext::DSC_alias_declaration:
case DeclSpecContext::DSC_objc_method_result:
return AllowDefiningTypeSpec::Yes;
case DeclSpecContext::DSC_condition:
case DeclSpecContext::DSC_template_param:
return AllowDefiningTypeSpec::YesButInvalid;
case DeclSpecContext::DSC_template_type_arg:
case DeclSpecContext::DSC_type_specifier:
return AllowDefiningTypeSpec::NoButErrorRecovery;
case DeclSpecContext::DSC_trailing:
return AllowDefiningTypeSpec::No;
}
llvm_unreachable("Missing DeclSpecContext case");
}
/// Is this a context in which an opaque-enum-declaration can appear?
static bool isOpaqueEnumDeclarationContext(DeclSpecContext DSC) {
switch (DSC) {
case DeclSpecContext::DSC_normal:
case DeclSpecContext::DSC_class:
case DeclSpecContext::DSC_top_level:
return true;
case DeclSpecContext::DSC_alias_declaration:
case DeclSpecContext::DSC_objc_method_result:
case DeclSpecContext::DSC_condition:
case DeclSpecContext::DSC_template_param:
case DeclSpecContext::DSC_template_type_arg:
case DeclSpecContext::DSC_type_specifier:
case DeclSpecContext::DSC_trailing:
return false;
}
llvm_unreachable("Missing DeclSpecContext case");
}
/// Is this a context in which we can perform class template argument
/// deduction?
static bool isClassTemplateDeductionContext(DeclSpecContext DSC) {
switch (DSC) {
case DeclSpecContext::DSC_normal:
case DeclSpecContext::DSC_template_param:
case DeclSpecContext::DSC_class:
case DeclSpecContext::DSC_top_level:
case DeclSpecContext::DSC_condition:
case DeclSpecContext::DSC_type_specifier:
return true;
case DeclSpecContext::DSC_objc_method_result:
case DeclSpecContext::DSC_template_type_arg:
case DeclSpecContext::DSC_trailing:
case DeclSpecContext::DSC_alias_declaration:
return false;
}
llvm_unreachable("Missing DeclSpecContext case");
}
/// Information on a C++0x for-range-initializer found while parsing a
/// declaration which turns out to be a for-range-declaration.
struct ForRangeInit {
SourceLocation ColonLoc;
ExprResult RangeExpr;
bool ParsedForRangeDecl() { return !ColonLoc.isInvalid(); }
};
struct ForRangeInfo : ForRangeInit {
StmtResult LoopVar;
};
DeclGroupPtrTy ParseDeclaration(DeclaratorContext Context,
SourceLocation &DeclEnd,
ParsedAttributesWithRange &attrs,
SourceLocation *DeclSpecStart = nullptr);
DeclGroupPtrTy
ParseSimpleDeclaration(DeclaratorContext Context, SourceLocation &DeclEnd,
ParsedAttributesWithRange &attrs, bool RequireSemi,
ForRangeInit *FRI = nullptr,
SourceLocation *DeclSpecStart = nullptr);
bool MightBeDeclarator(DeclaratorContext Context);
DeclGroupPtrTy ParseDeclGroup(ParsingDeclSpec &DS, DeclaratorContext Context,
SourceLocation *DeclEnd = nullptr,
ForRangeInit *FRI = nullptr);
Decl *ParseDeclarationAfterDeclarator(Declarator &D,
const ParsedTemplateInfo &TemplateInfo = ParsedTemplateInfo());
bool ParseAsmAttributesAfterDeclarator(Declarator &D);
Decl *ParseDeclarationAfterDeclaratorAndAttributes(
Declarator &D,
const ParsedTemplateInfo &TemplateInfo = ParsedTemplateInfo(),
ForRangeInit *FRI = nullptr);
Decl *ParseFunctionStatementBody(Decl *Decl, ParseScope &BodyScope);
Decl *ParseFunctionTryBlock(Decl *Decl, ParseScope &BodyScope);
/// When in code-completion, skip parsing of the function/method body
/// unless the body contains the code-completion point.
///
/// \returns true if the function body was skipped.
bool trySkippingFunctionBody();
bool ParseImplicitInt(DeclSpec &DS, CXXScopeSpec *SS,
const ParsedTemplateInfo &TemplateInfo,
AccessSpecifier AS, DeclSpecContext DSC,
ParsedAttributesWithRange &Attrs);
DeclSpecContext
getDeclSpecContextFromDeclaratorContext(DeclaratorContext Context);
void ParseDeclarationSpecifiers(
DeclSpec &DS,
const ParsedTemplateInfo &TemplateInfo = ParsedTemplateInfo(),
AccessSpecifier AS = AS_none,
DeclSpecContext DSC = DeclSpecContext::DSC_normal,
LateParsedAttrList *LateAttrs = nullptr);
bool DiagnoseMissingSemiAfterTagDefinition(
DeclSpec &DS, AccessSpecifier AS, DeclSpecContext DSContext,
LateParsedAttrList *LateAttrs = nullptr);
void ParseSpecifierQualifierList(
DeclSpec &DS, AccessSpecifier AS = AS_none,
DeclSpecContext DSC = DeclSpecContext::DSC_normal);
void ParseObjCTypeQualifierList(ObjCDeclSpec &DS,
DeclaratorContext Context);
void ParseEnumSpecifier(SourceLocation TagLoc, DeclSpec &DS,
const ParsedTemplateInfo &TemplateInfo,
AccessSpecifier AS, DeclSpecContext DSC);
void ParseEnumBody(SourceLocation StartLoc, Decl *TagDecl);
void ParseStructUnionBody(SourceLocation StartLoc, DeclSpec::TST TagType,
RecordDecl *TagDecl);
void ParseStructDeclaration(
ParsingDeclSpec &DS,
llvm::function_ref<void(ParsingFieldDeclarator &)> FieldsCallback);
bool isDeclarationSpecifier(bool DisambiguatingWithExpression = false);
bool isTypeSpecifierQualifier();
/// isKnownToBeTypeSpecifier - Return true if we know that the specified token
/// is definitely a type-specifier. Return false if it isn't part of a type
/// specifier or if we're not sure.
bool isKnownToBeTypeSpecifier(const Token &Tok) const;
/// Return true if we know that we are definitely looking at a
/// decl-specifier, and isn't part of an expression such as a function-style
/// cast. Return false if it's no a decl-specifier, or we're not sure.
bool isKnownToBeDeclarationSpecifier() {
if (getLangOpts().CPlusPlus)
return isCXXDeclarationSpecifier() == TPResult::True;
return isDeclarationSpecifier(true);
}
/// isDeclarationStatement - Disambiguates between a declaration or an
/// expression statement, when parsing function bodies.
/// Returns true for declaration, false for expression.
bool isDeclarationStatement() {
if (getLangOpts().CPlusPlus)
return isCXXDeclarationStatement();
return isDeclarationSpecifier(true);
}
/// isForInitDeclaration - Disambiguates between a declaration or an
/// expression in the context of the C 'clause-1' or the C++
// 'for-init-statement' part of a 'for' statement.
/// Returns true for declaration, false for expression.
bool isForInitDeclaration() {
if (getLangOpts().OpenMP)
Actions.startOpenMPLoop();
if (getLangOpts().CPlusPlus)
return Tok.is(tok::kw_using) ||
isCXXSimpleDeclaration(/*AllowForRangeDecl=*/true);
return isDeclarationSpecifier(true);
}
/// Determine whether this is a C++1z for-range-identifier.
bool isForRangeIdentifier();
/// Determine whether we are currently at the start of an Objective-C
/// class message that appears to be missing the open bracket '['.
bool isStartOfObjCClassMessageMissingOpenBracket();
/// Starting with a scope specifier, identifier, or
/// template-id that refers to the current class, determine whether
/// this is a constructor declarator.
bool isConstructorDeclarator(bool Unqualified, bool DeductionGuide = false);
/// Specifies the context in which type-id/expression
/// disambiguation will occur.
enum TentativeCXXTypeIdContext {
TypeIdInParens,
TypeIdUnambiguous,
TypeIdAsTemplateArgument
};
/// isTypeIdInParens - Assumes that a '(' was parsed and now we want to know
/// whether the parens contain an expression or a type-id.
/// Returns true for a type-id and false for an expression.
bool isTypeIdInParens(bool &isAmbiguous) {
if (getLangOpts().CPlusPlus)
return isCXXTypeId(TypeIdInParens, isAmbiguous);
isAmbiguous = false;
return isTypeSpecifierQualifier();
}
bool isTypeIdInParens() {
bool isAmbiguous;
return isTypeIdInParens(isAmbiguous);
}
/// Checks if the current tokens form type-id or expression.
/// It is similar to isTypeIdInParens but does not suppose that type-id
/// is in parenthesis.
bool isTypeIdUnambiguously() {
bool IsAmbiguous;
if (getLangOpts().CPlusPlus)
return isCXXTypeId(TypeIdUnambiguous, IsAmbiguous);
return isTypeSpecifierQualifier();
}
/// isCXXDeclarationStatement - C++-specialized function that disambiguates
/// between a declaration or an expression statement, when parsing function
/// bodies. Returns true for declaration, false for expression.
bool isCXXDeclarationStatement();
/// isCXXSimpleDeclaration - C++-specialized function that disambiguates
/// between a simple-declaration or an expression-statement.
/// If during the disambiguation process a parsing error is encountered,
/// the function returns true to let the declaration parsing code handle it.
/// Returns false if the statement is disambiguated as expression.
bool isCXXSimpleDeclaration(bool AllowForRangeDecl);
/// isCXXFunctionDeclarator - Disambiguates between a function declarator or
/// a constructor-style initializer, when parsing declaration statements.
/// Returns true for function declarator and false for constructor-style
/// initializer. Sets 'IsAmbiguous' to true to indicate that this declaration
/// might be a constructor-style initializer.
/// If during the disambiguation process a parsing error is encountered,
/// the function returns true to let the declaration parsing code handle it.
bool isCXXFunctionDeclarator(bool *IsAmbiguous = nullptr);
struct ConditionDeclarationOrInitStatementState;
enum class ConditionOrInitStatement {
Expression, ///< Disambiguated as an expression (either kind).
ConditionDecl, ///< Disambiguated as the declaration form of condition.
InitStmtDecl, ///< Disambiguated as a simple-declaration init-statement.
ForRangeDecl, ///< Disambiguated as a for-range declaration.
Error ///< Can't be any of the above!
};
/// Disambiguates between the different kinds of things that can happen
/// after 'if (' or 'switch ('. This could be one of two different kinds of
/// declaration (depending on whether there is a ';' later) or an expression.
ConditionOrInitStatement
isCXXConditionDeclarationOrInitStatement(bool CanBeInitStmt,
bool CanBeForRangeDecl);
bool isCXXTypeId(TentativeCXXTypeIdContext Context, bool &isAmbiguous);
bool isCXXTypeId(TentativeCXXTypeIdContext Context) {
bool isAmbiguous;
return isCXXTypeId(Context, isAmbiguous);
}
/// TPResult - Used as the result value for functions whose purpose is to
/// disambiguate C++ constructs by "tentatively parsing" them.
enum class TPResult {
True, False, Ambiguous, Error
};
/// Determine whether we could have an enum-base.
///
/// \p AllowSemi If \c true, then allow a ';' after the enum-base; otherwise
/// only consider this to be an enum-base if the next token is a '{'.
///
/// \return \c false if this cannot possibly be an enum base; \c true
/// otherwise.
bool isEnumBase(bool AllowSemi);
/// isCXXDeclarationSpecifier - Returns TPResult::True if it is a
/// declaration specifier, TPResult::False if it is not,
/// TPResult::Ambiguous if it could be either a decl-specifier or a
/// function-style cast, and TPResult::Error if a parsing error was
/// encountered. If it could be a braced C++11 function-style cast, returns
/// BracedCastResult.
/// Doesn't consume tokens.
TPResult
isCXXDeclarationSpecifier(TPResult BracedCastResult = TPResult::False,
bool *InvalidAsDeclSpec = nullptr);
/// Given that isCXXDeclarationSpecifier returns \c TPResult::True or
/// \c TPResult::Ambiguous, determine whether the decl-specifier would be
/// a type-specifier other than a cv-qualifier.
bool isCXXDeclarationSpecifierAType();
/// Determine whether the current token sequence might be
/// '<' template-argument-list '>'
/// rather than a less-than expression.
TPResult isTemplateArgumentList(unsigned TokensToSkip);
/// Determine whether an '(' after an 'explicit' keyword is part of a C++20
/// 'explicit(bool)' declaration, in earlier language modes where that is an
/// extension.
TPResult isExplicitBool();
/// Determine whether an identifier has been tentatively declared as a
/// non-type. Such tentative declarations should not be found to name a type
/// during a tentative parse, but also should not be annotated as a non-type.
bool isTentativelyDeclared(IdentifierInfo *II);
// "Tentative parsing" functions, used for disambiguation. If a parsing error
// is encountered they will return TPResult::Error.
// Returning TPResult::True/False indicates that the ambiguity was
// resolved and tentative parsing may stop. TPResult::Ambiguous indicates
// that more tentative parsing is necessary for disambiguation.
// They all consume tokens, so backtracking should be used after calling them.
TPResult TryParseSimpleDeclaration(bool AllowForRangeDecl);
TPResult TryParseTypeofSpecifier();
TPResult TryParseProtocolQualifiers();
TPResult TryParsePtrOperatorSeq();
TPResult TryParseOperatorId();
TPResult TryParseInitDeclaratorList();
TPResult TryParseDeclarator(bool mayBeAbstract, bool mayHaveIdentifier = true,
bool mayHaveDirectInit = false);
TPResult
TryParseParameterDeclarationClause(bool *InvalidAsDeclaration = nullptr,
bool VersusTemplateArg = false);
TPResult TryParseFunctionDeclarator();
TPResult TryParseBracketDeclarator();
TPResult TryConsumeDeclarationSpecifier();
/// Try to skip a possibly empty sequence of 'attribute-specifier's without
/// full validation of the syntactic structure of attributes.
bool TrySkipAttributes();
/// Diagnoses use of _ExtInt as being deprecated, and diagnoses use of
/// _BitInt as an extension when appropriate.
void DiagnoseBitIntUse(const Token &Tok);
public:
TypeResult
ParseTypeName(SourceRange *Range = nullptr,
DeclaratorContext Context = DeclaratorContext::TypeName,
AccessSpecifier AS = AS_none, Decl **OwnedType = nullptr,
ParsedAttributes *Attrs = nullptr);
private:
void ParseBlockId(SourceLocation CaretLoc);
/// Are [[]] attributes enabled?
bool standardAttributesAllowed() const {
const LangOptions &LO = getLangOpts();
return LO.DoubleSquareBracketAttributes;
}
// Check for the start of an attribute-specifier-seq in a context where an
// attribute is not allowed.
bool CheckProhibitedCXX11Attribute() {
assert(Tok.is(tok::l_square));
if (!standardAttributesAllowed() || NextToken().isNot(tok::l_square))
return false;
return DiagnoseProhibitedCXX11Attribute();
}
bool DiagnoseProhibitedCXX11Attribute();
void CheckMisplacedCXX11Attribute(ParsedAttributesWithRange &Attrs,
SourceLocation CorrectLocation) {
if (!standardAttributesAllowed())
return;
if ((Tok.isNot(tok::l_square) || NextToken().isNot(tok::l_square)) &&
Tok.isNot(tok::kw_alignas))
return;
DiagnoseMisplacedCXX11Attribute(Attrs, CorrectLocation);
}
void DiagnoseMisplacedCXX11Attribute(ParsedAttributesWithRange &Attrs,
SourceLocation CorrectLocation);
void stripTypeAttributesOffDeclSpec(ParsedAttributesWithRange &Attrs,
DeclSpec &DS, Sema::TagUseKind TUK);
// FixItLoc = possible correct location for the attributes
void ProhibitAttributes(ParsedAttributesWithRange &Attrs,
SourceLocation FixItLoc = SourceLocation()) {
if (Attrs.Range.isInvalid())
return;
DiagnoseProhibitedAttributes(Attrs.Range, FixItLoc);
Attrs.clear();
}
void ProhibitAttributes(ParsedAttributesViewWithRange &Attrs,
SourceLocation FixItLoc = SourceLocation()) {
if (Attrs.Range.isInvalid())
return;
DiagnoseProhibitedAttributes(Attrs.Range, FixItLoc);
Attrs.clearListOnly();
}
void DiagnoseProhibitedAttributes(const SourceRange &Range,
SourceLocation FixItLoc);
// Forbid C++11 and C2x attributes that appear on certain syntactic locations
// which standard permits but we don't supported yet, for example, attributes
// appertain to decl specifiers.
void ProhibitCXX11Attributes(ParsedAttributesWithRange &Attrs,
unsigned DiagID,
bool DiagnoseEmptyAttrs = false);
/// Skip C++11 and C2x attributes and return the end location of the
/// last one.
/// \returns SourceLocation() if there are no attributes.
SourceLocation SkipCXX11Attributes();
/// Diagnose and skip C++11 and C2x attributes that appear in syntactic
/// locations where attributes are not allowed.
void DiagnoseAndSkipCXX11Attributes();
/// Emit warnings for C++11 and C2x attributes that are in a position that
/// clang accepts as an extension.
void DiagnoseCXX11AttributeExtension(ParsedAttributesWithRange &Attrs);
/// Parses syntax-generic attribute arguments for attributes which are
/// known to the implementation, and adds them to the given ParsedAttributes
/// list with the given attribute syntax. Returns the number of arguments
/// parsed for the attribute.
unsigned
ParseAttributeArgsCommon(IdentifierInfo *AttrName, SourceLocation AttrNameLoc,
ParsedAttributes &Attrs, SourceLocation *EndLoc,
IdentifierInfo *ScopeName, SourceLocation ScopeLoc,
ParsedAttr::Syntax Syntax);
enum ParseAttrKindMask {
PAKM_GNU = 1 << 0,
PAKM_Declspec = 1 << 1,
PAKM_CXX11 = 1 << 2,
};
/// \brief Parse attributes based on what syntaxes are desired, allowing for
/// the order to vary. e.g. with PAKM_GNU | PAKM_Declspec:
/// __attribute__((...)) __declspec(...) __attribute__((...)))
/// Note that Microsoft attributes (spelled with single square brackets) are
/// not supported by this because of parsing ambiguities with other
/// constructs.
///
/// There are some attribute parse orderings that should not be allowed in
/// arbitrary order. e.g.,
///
/// [[]] __attribute__(()) int i; // OK
/// __attribute__(()) [[]] int i; // Not OK
///
/// Such situations should use the specific attribute parsing functionality.
void ParseAttributes(unsigned WhichAttrKinds,
ParsedAttributesWithRange &Attrs,
SourceLocation *End = nullptr,
LateParsedAttrList *LateAttrs = nullptr);
void ParseAttributes(unsigned WhichAttrKinds, ParsedAttributes &Attrs,
SourceLocation *End = nullptr,
LateParsedAttrList *LateAttrs = nullptr) {
ParsedAttributesWithRange AttrsWithRange(AttrFactory);
ParseAttributes(WhichAttrKinds, AttrsWithRange, End, LateAttrs);
Attrs.takeAllFrom(AttrsWithRange);
}
/// \brief Possibly parse attributes based on what syntaxes are desired,
/// allowing for the order to vary.
bool MaybeParseAttributes(unsigned WhichAttrKinds,
ParsedAttributesWithRange &Attrs,
SourceLocation *End = nullptr,
LateParsedAttrList *LateAttrs = nullptr) {
if (Tok.isOneOf(tok::kw___attribute, tok::kw___declspec) ||
(standardAttributesAllowed() && isCXX11AttributeSpecifier())) {
ParseAttributes(WhichAttrKinds, Attrs, End, LateAttrs);
return true;
}
return false;
}
bool MaybeParseAttributes(unsigned WhichAttrKinds, ParsedAttributes &Attrs,
SourceLocation *End = nullptr,
LateParsedAttrList *LateAttrs = nullptr) {
if (Tok.isOneOf(tok::kw___attribute, tok::kw___declspec) ||
(standardAttributesAllowed() && isCXX11AttributeSpecifier())) {
ParseAttributes(WhichAttrKinds, Attrs, End, LateAttrs);
return true;
}
return false;
}
void MaybeParseGNUAttributes(Declarator &D,
LateParsedAttrList *LateAttrs = nullptr) {
if (Tok.is(tok::kw___attribute)) {
ParsedAttributes attrs(AttrFactory);
SourceLocation endLoc;
ParseGNUAttributes(attrs, &endLoc, LateAttrs, &D);
D.takeAttributes(attrs, endLoc);
}
}
/// Parses GNU-style attributes and returns them without source range
/// information.
///
/// This API is discouraged. Use the version that takes a
/// ParsedAttributesWithRange instead.
bool MaybeParseGNUAttributes(ParsedAttributes &Attrs,
SourceLocation *EndLoc = nullptr,
LateParsedAttrList *LateAttrs = nullptr) {
if (Tok.is(tok::kw___attribute)) {
ParsedAttributesWithRange AttrsWithRange(AttrFactory);
ParseGNUAttributes(Attrs, EndLoc, LateAttrs);
Attrs.takeAllFrom(AttrsWithRange);
return true;
}
return false;
}
bool MaybeParseGNUAttributes(ParsedAttributesWithRange &Attrs,
SourceLocation *EndLoc = nullptr,
LateParsedAttrList *LateAttrs = nullptr) {
if (Tok.is(tok::kw___attribute)) {
ParseGNUAttributes(Attrs, EndLoc, LateAttrs);
return true;
}
return false;
}
/// Parses GNU-style attributes and returns them without source range
/// information.
///
/// This API is discouraged. Use the version that takes a
/// ParsedAttributesWithRange instead.
void ParseGNUAttributes(ParsedAttributes &Attrs,
SourceLocation *EndLoc = nullptr,
LateParsedAttrList *LateAttrs = nullptr,
Declarator *D = nullptr) {
ParsedAttributesWithRange AttrsWithRange(AttrFactory);
ParseGNUAttributes(AttrsWithRange, EndLoc, LateAttrs, D);
Attrs.takeAllFrom(AttrsWithRange);
}
void ParseGNUAttributes(ParsedAttributesWithRange &Attrs,
SourceLocation *EndLoc = nullptr,
LateParsedAttrList *LateAttrs = nullptr,
Declarator *D = nullptr);
void ParseGNUAttributeArgs(IdentifierInfo *AttrName,
SourceLocation AttrNameLoc,
ParsedAttributes &Attrs, SourceLocation *EndLoc,
IdentifierInfo *ScopeName, SourceLocation ScopeLoc,
ParsedAttr::Syntax Syntax, Declarator *D);
IdentifierLoc *ParseIdentifierLoc();
unsigned
ParseClangAttributeArgs(IdentifierInfo *AttrName, SourceLocation AttrNameLoc,
ParsedAttributes &Attrs, SourceLocation *EndLoc,
IdentifierInfo *ScopeName, SourceLocation ScopeLoc,
ParsedAttr::Syntax Syntax);
void ReplayOpenMPAttributeTokens(CachedTokens &OpenMPTokens) {
// If parsing the attributes found an OpenMP directive, emit those tokens
// to the parse stream now.
if (!OpenMPTokens.empty()) {
PP.EnterToken(Tok, /*IsReinject*/ true);
PP.EnterTokenStream(OpenMPTokens, /*DisableMacroExpansion*/ true,
/*IsReinject*/ true);
ConsumeAnyToken(/*ConsumeCodeCompletionTok*/ true);
}
}
void MaybeParseCXX11Attributes(Declarator &D) {
if (standardAttributesAllowed() && isCXX11AttributeSpecifier()) {
ParsedAttributesWithRange attrs(AttrFactory);
SourceLocation endLoc;
ParseCXX11Attributes(attrs, &endLoc);
D.takeAttributes(attrs, endLoc);
}
}
bool MaybeParseCXX11Attributes(ParsedAttributes &attrs,
SourceLocation *endLoc = nullptr) {
if (standardAttributesAllowed() && isCXX11AttributeSpecifier()) {
ParsedAttributesWithRange attrsWithRange(AttrFactory);
ParseCXX11Attributes(attrsWithRange, endLoc);
attrs.takeAllFrom(attrsWithRange);
return true;
}
return false;
}
bool MaybeParseCXX11Attributes(ParsedAttributesWithRange &attrs,
SourceLocation *endLoc = nullptr,
bool OuterMightBeMessageSend = false) {
if (standardAttributesAllowed() &&
isCXX11AttributeSpecifier(false, OuterMightBeMessageSend)) {
ParseCXX11Attributes(attrs, endLoc);
return true;
}
return false;
}
void ParseOpenMPAttributeArgs(IdentifierInfo *AttrName,
CachedTokens &OpenMPTokens);
void ParseCXX11AttributeSpecifierInternal(ParsedAttributes &Attrs,
CachedTokens &OpenMPTokens,
SourceLocation *EndLoc = nullptr);
void ParseCXX11AttributeSpecifier(ParsedAttributes &Attrs,
SourceLocation *EndLoc = nullptr) {
CachedTokens OpenMPTokens;
ParseCXX11AttributeSpecifierInternal(Attrs, OpenMPTokens, EndLoc);
ReplayOpenMPAttributeTokens(OpenMPTokens);
}
void ParseCXX11Attributes(ParsedAttributesWithRange &attrs,
SourceLocation *EndLoc = nullptr);
/// Parses a C++11 (or C2x)-style attribute argument list. Returns true
/// if this results in adding an attribute to the ParsedAttributes list.
bool ParseCXX11AttributeArgs(IdentifierInfo *AttrName,
SourceLocation AttrNameLoc,
ParsedAttributes &Attrs, SourceLocation *EndLoc,
IdentifierInfo *ScopeName,
SourceLocation ScopeLoc,
CachedTokens &OpenMPTokens);
IdentifierInfo *TryParseCXX11AttributeIdentifier(
SourceLocation &Loc,
Sema::AttributeCompletion Completion = Sema::AttributeCompletion::None,
const IdentifierInfo *EnclosingScope = nullptr);
void MaybeParseMicrosoftAttributes(ParsedAttributes &attrs,
SourceLocation *endLoc = nullptr) {
if (getLangOpts().MicrosoftExt && Tok.is(tok::l_square))
ParseMicrosoftAttributes(attrs, endLoc);
}
void ParseMicrosoftUuidAttributeArgs(ParsedAttributes &Attrs);
void ParseMicrosoftAttributes(ParsedAttributes &attrs,
SourceLocation *endLoc = nullptr);
bool MaybeParseMicrosoftDeclSpecs(ParsedAttributes &Attrs,
SourceLocation *End = nullptr) {
const auto &LO = getLangOpts();
if (LO.DeclSpecKeyword && Tok.is(tok::kw___declspec)) {
ParseMicrosoftDeclSpecs(Attrs, End);
return true;
}
return false;
}
void ParseMicrosoftDeclSpecs(ParsedAttributes &Attrs,
SourceLocation *End = nullptr);
bool ParseMicrosoftDeclSpecArgs(IdentifierInfo *AttrName,
SourceLocation AttrNameLoc,
ParsedAttributes &Attrs);
void ParseMicrosoftTypeAttributes(ParsedAttributes &attrs);
void DiagnoseAndSkipExtendedMicrosoftTypeAttributes();
SourceLocation SkipExtendedMicrosoftTypeAttributes();
void ParseMicrosoftInheritanceClassAttributes(ParsedAttributes &attrs);
void ParseBorlandTypeAttributes(ParsedAttributes &attrs);
void ParseOpenCLKernelAttributes(ParsedAttributes &attrs);
void ParseOpenCLQualifiers(ParsedAttributes &Attrs);
void ParseNullabilityTypeSpecifiers(ParsedAttributes &attrs);
VersionTuple ParseVersionTuple(SourceRange &Range);
void ParseAvailabilityAttribute(IdentifierInfo &Availability,
SourceLocation AvailabilityLoc,
ParsedAttributes &attrs,
SourceLocation *endLoc,
IdentifierInfo *ScopeName,
SourceLocation ScopeLoc,
ParsedAttr::Syntax Syntax);
Optional<AvailabilitySpec> ParseAvailabilitySpec();
ExprResult ParseAvailabilityCheckExpr(SourceLocation StartLoc);
void ParseExternalSourceSymbolAttribute(IdentifierInfo &ExternalSourceSymbol,
SourceLocation Loc,
ParsedAttributes &Attrs,
SourceLocation *EndLoc,
IdentifierInfo *ScopeName,
SourceLocation ScopeLoc,
ParsedAttr::Syntax Syntax);
void ParseObjCBridgeRelatedAttribute(IdentifierInfo &ObjCBridgeRelated,
SourceLocation ObjCBridgeRelatedLoc,
ParsedAttributes &attrs,
SourceLocation *endLoc,
IdentifierInfo *ScopeName,
SourceLocation ScopeLoc,
ParsedAttr::Syntax Syntax);
void ParseSwiftNewTypeAttribute(IdentifierInfo &AttrName,
SourceLocation AttrNameLoc,
ParsedAttributes &Attrs,
SourceLocation *EndLoc,
IdentifierInfo *ScopeName,
SourceLocation ScopeLoc,
ParsedAttr::Syntax Syntax);
void ParseTypeTagForDatatypeAttribute(IdentifierInfo &AttrName,
SourceLocation AttrNameLoc,
ParsedAttributes &Attrs,
SourceLocation *EndLoc,
IdentifierInfo *ScopeName,
SourceLocation ScopeLoc,
ParsedAttr::Syntax Syntax);
void
ParseAttributeWithTypeArg(IdentifierInfo &AttrName,
SourceLocation AttrNameLoc, ParsedAttributes &Attrs,
SourceLocation *EndLoc, IdentifierInfo *ScopeName,
SourceLocation ScopeLoc, ParsedAttr::Syntax Syntax);
void ParseTypeofSpecifier(DeclSpec &DS);
SourceLocation ParseDecltypeSpecifier(DeclSpec &DS);
void AnnotateExistingDecltypeSpecifier(const DeclSpec &DS,
SourceLocation StartLoc,
SourceLocation EndLoc);
void ParseUnderlyingTypeSpecifier(DeclSpec &DS);
void ParseAtomicSpecifier(DeclSpec &DS);
ExprResult ParseAlignArgument(SourceLocation Start,
SourceLocation &EllipsisLoc);
void ParseAlignmentSpecifier(ParsedAttributes &Attrs,
SourceLocation *endLoc = nullptr);
ExprResult ParseExtIntegerArgument();
void ParsePtrauthQualifier(ParsedAttributes &Attrs);
VirtSpecifiers::Specifier isCXX11VirtSpecifier(const Token &Tok) const;
VirtSpecifiers::Specifier isCXX11VirtSpecifier() const {
return isCXX11VirtSpecifier(Tok);
}
void ParseOptionalCXX11VirtSpecifierSeq(VirtSpecifiers &VS, bool IsInterface,
SourceLocation FriendLoc);
bool isCXX11FinalKeyword() const;
bool isClassCompatibleKeyword() const;
/// DeclaratorScopeObj - RAII object used in Parser::ParseDirectDeclarator to
/// enter a new C++ declarator scope and exit it when the function is
/// finished.
class DeclaratorScopeObj {
Parser &P;
CXXScopeSpec &SS;
bool EnteredScope;
bool CreatedScope;
public:
DeclaratorScopeObj(Parser &p, CXXScopeSpec &ss)
: P(p), SS(ss), EnteredScope(false), CreatedScope(false) {}
void EnterDeclaratorScope() {
assert(!EnteredScope && "Already entered the scope!");
assert(SS.isSet() && "C++ scope was not set!");
CreatedScope = true;
P.EnterScope(0); // Not a decl scope.
if (!P.Actions.ActOnCXXEnterDeclaratorScope(P.getCurScope(), SS))
EnteredScope = true;
}
~DeclaratorScopeObj() {
if (EnteredScope) {
assert(SS.isSet() && "C++ scope was cleared ?");
P.Actions.ActOnCXXExitDeclaratorScope(P.getCurScope(), SS);
}
if (CreatedScope)
P.ExitScope();
}
};
/// ParseDeclarator - Parse and verify a newly-initialized declarator.
void ParseDeclarator(Declarator &D);
/// A function that parses a variant of direct-declarator.
typedef void (Parser::*DirectDeclParseFunction)(Declarator&);
void ParseDeclaratorInternal(Declarator &D,
DirectDeclParseFunction DirectDeclParser);
enum AttrRequirements {
AR_NoAttributesParsed = 0, ///< No attributes are diagnosed.
AR_GNUAttributesParsedAndRejected = 1 << 0, ///< Diagnose GNU attributes.
AR_GNUAttributesParsed = 1 << 1,
AR_CXX11AttributesParsed = 1 << 2,
AR_DeclspecAttributesParsed = 1 << 3,
AR_AllAttributesParsed = AR_GNUAttributesParsed |
AR_CXX11AttributesParsed |
AR_DeclspecAttributesParsed,
AR_VendorAttributesParsed = AR_GNUAttributesParsed |
AR_DeclspecAttributesParsed
};
void ParseTypeQualifierListOpt(
DeclSpec &DS, unsigned AttrReqs = AR_AllAttributesParsed,
bool AtomicAllowed = true, bool IdentifierRequired = false,
Optional<llvm::function_ref<void()>> CodeCompletionHandler = None);
void ParseDirectDeclarator(Declarator &D);
void ParseDecompositionDeclarator(Declarator &D);
void ParseParenDeclarator(Declarator &D);
void ParseFunctionDeclarator(Declarator &D,
ParsedAttributes &attrs,
BalancedDelimiterTracker &Tracker,
bool IsAmbiguous,
bool RequiresArg = false);
void InitCXXThisScopeForDeclaratorIfRelevant(
const Declarator &D, const DeclSpec &DS,
llvm::Optional<Sema::CXXThisScopeRAII> &ThisScope);
bool ParseRefQualifier(bool &RefQualifierIsLValueRef,
SourceLocation &RefQualifierLoc);
bool isFunctionDeclaratorIdentifierList();
void ParseFunctionDeclaratorIdentifierList(
Declarator &D,
SmallVectorImpl<DeclaratorChunk::ParamInfo> &ParamInfo);
void ParseParameterDeclarationClause(
DeclaratorContext DeclaratorContext,
ParsedAttributes &attrs,
SmallVectorImpl<DeclaratorChunk::ParamInfo> &ParamInfo,
SourceLocation &EllipsisLoc);
void ParseBracketDeclarator(Declarator &D);
void ParseMisplacedBracketDeclarator(Declarator &D);
//===--------------------------------------------------------------------===//
// C++ 7: Declarations [dcl.dcl]
/// The kind of attribute specifier we have found.
enum CXX11AttributeKind {
/// This is not an attribute specifier.
CAK_NotAttributeSpecifier,
/// This should be treated as an attribute-specifier.
CAK_AttributeSpecifier,
/// The next tokens are '[[', but this is not an attribute-specifier. This
/// is ill-formed by C++11 [dcl.attr.grammar]p6.
CAK_InvalidAttributeSpecifier
};
CXX11AttributeKind
isCXX11AttributeSpecifier(bool Disambiguate = false,
bool OuterMightBeMessageSend = false);
void DiagnoseUnexpectedNamespace(NamedDecl *Context);
DeclGroupPtrTy ParseNamespace(DeclaratorContext Context,
SourceLocation &DeclEnd,
SourceLocation InlineLoc = SourceLocation());
struct InnerNamespaceInfo {
SourceLocation NamespaceLoc;
SourceLocation InlineLoc;
SourceLocation IdentLoc;
IdentifierInfo *Ident;
};
using InnerNamespaceInfoList = llvm::SmallVector<InnerNamespaceInfo, 4>;
void ParseInnerNamespace(const InnerNamespaceInfoList &InnerNSs,
unsigned int index, SourceLocation &InlineLoc,
ParsedAttributes &attrs,
BalancedDelimiterTracker &Tracker);
Decl *ParseLinkage(ParsingDeclSpec &DS, DeclaratorContext Context);
Decl *ParseExportDeclaration();
DeclGroupPtrTy ParseUsingDirectiveOrDeclaration(
DeclaratorContext Context, const ParsedTemplateInfo &TemplateInfo,
SourceLocation &DeclEnd, ParsedAttributesWithRange &attrs);
Decl *ParseUsingDirective(DeclaratorContext Context,
SourceLocation UsingLoc,
SourceLocation &DeclEnd,
ParsedAttributes &attrs);
struct UsingDeclarator {
SourceLocation TypenameLoc;
CXXScopeSpec SS;
UnqualifiedId Name;
SourceLocation EllipsisLoc;
void clear() {
TypenameLoc = EllipsisLoc = SourceLocation();
SS.clear();
Name.clear();
}
};
bool ParseUsingDeclarator(DeclaratorContext Context, UsingDeclarator &D);
DeclGroupPtrTy ParseUsingDeclaration(DeclaratorContext Context,
const ParsedTemplateInfo &TemplateInfo,
SourceLocation UsingLoc,
SourceLocation &DeclEnd,
ParsedAttributesWithRange &Attrs,
AccessSpecifier AS = AS_none);
Decl *ParseAliasDeclarationAfterDeclarator(
const ParsedTemplateInfo &TemplateInfo, SourceLocation UsingLoc,
UsingDeclarator &D, SourceLocation &DeclEnd, AccessSpecifier AS,
ParsedAttributes &Attrs, Decl **OwnedType = nullptr);
Decl *ParseStaticAssertDeclaration(SourceLocation &DeclEnd);
Decl *ParseNamespaceAlias(SourceLocation NamespaceLoc,
SourceLocation AliasLoc, IdentifierInfo *Alias,
SourceLocation &DeclEnd);
//===--------------------------------------------------------------------===//
// C++ 9: classes [class] and C structs/unions.
bool isValidAfterTypeSpecifier(bool CouldBeBitfield);
void ParseClassSpecifier(tok::TokenKind TagTokKind, SourceLocation TagLoc,
DeclSpec &DS, const ParsedTemplateInfo &TemplateInfo,
AccessSpecifier AS, bool EnteringContext,
DeclSpecContext DSC,
ParsedAttributesWithRange &Attributes);
void SkipCXXMemberSpecification(SourceLocation StartLoc,
SourceLocation AttrFixitLoc,
unsigned TagType,
Decl *TagDecl);
void ParseCXXMemberSpecification(SourceLocation StartLoc,
SourceLocation AttrFixitLoc,
ParsedAttributesWithRange &Attrs,
unsigned TagType,
Decl *TagDecl);
ExprResult ParseCXXMemberInitializer(Decl *D, bool IsFunction,
SourceLocation &EqualLoc);
bool
ParseCXXMemberDeclaratorBeforeInitializer(Declarator &DeclaratorInfo,
VirtSpecifiers &VS,
ExprResult &BitfieldSize,
LateParsedAttrList &LateAttrs);
void MaybeParseAndDiagnoseDeclSpecAfterCXX11VirtSpecifierSeq(Declarator &D,
VirtSpecifiers &VS);
DeclGroupPtrTy ParseCXXClassMemberDeclaration(
AccessSpecifier AS, ParsedAttributes &Attr,
const ParsedTemplateInfo &TemplateInfo = ParsedTemplateInfo(),
ParsingDeclRAIIObject *DiagsFromTParams = nullptr);
DeclGroupPtrTy ParseCXXClassMemberDeclarationWithPragmas(
AccessSpecifier &AS, ParsedAttributesWithRange &AccessAttrs,
DeclSpec::TST TagType, Decl *Tag);
void ParseConstructorInitializer(Decl *ConstructorDecl);
MemInitResult ParseMemInitializer(Decl *ConstructorDecl);
void HandleMemberFunctionDeclDelays(Declarator& DeclaratorInfo,
Decl *ThisDecl);
//===--------------------------------------------------------------------===//
// C++ 10: Derived classes [class.derived]
TypeResult ParseBaseTypeSpecifier(SourceLocation &BaseLoc,
SourceLocation &EndLocation);
void ParseBaseClause(Decl *ClassDecl);
BaseResult ParseBaseSpecifier(Decl *ClassDecl);
AccessSpecifier getAccessSpecifierIfPresent() const;
bool ParseUnqualifiedIdTemplateId(CXXScopeSpec &SS,
ParsedType ObjectType,
bool ObjectHadErrors,
SourceLocation TemplateKWLoc,
IdentifierInfo *Name,
SourceLocation NameLoc,
bool EnteringContext,
UnqualifiedId &Id,
bool AssumeTemplateId);
bool ParseUnqualifiedIdOperator(CXXScopeSpec &SS, bool EnteringContext,
ParsedType ObjectType,
UnqualifiedId &Result);
//===--------------------------------------------------------------------===//
// OpenMP: Directives and clauses.
/// Parse clauses for '#pragma omp declare simd'.
DeclGroupPtrTy ParseOMPDeclareSimdClauses(DeclGroupPtrTy Ptr,
CachedTokens &Toks,
SourceLocation Loc);
/// Parse a property kind into \p TIProperty for the selector set \p Set and
/// selector \p Selector.
void parseOMPTraitPropertyKind(OMPTraitProperty &TIProperty,
llvm::omp::TraitSet Set,
llvm::omp::TraitSelector Selector,
llvm::StringMap<SourceLocation> &Seen);
/// Parse a selector kind into \p TISelector for the selector set \p Set.
void parseOMPTraitSelectorKind(OMPTraitSelector &TISelector,
llvm::omp::TraitSet Set,
llvm::StringMap<SourceLocation> &Seen);
/// Parse a selector set kind into \p TISet.
void parseOMPTraitSetKind(OMPTraitSet &TISet,
llvm::StringMap<SourceLocation> &Seen);
/// Parses an OpenMP context property.
void parseOMPContextProperty(OMPTraitSelector &TISelector,
llvm::omp::TraitSet Set,
llvm::StringMap<SourceLocation> &Seen);
/// Parses an OpenMP context selector.
void parseOMPContextSelector(OMPTraitSelector &TISelector,
llvm::omp::TraitSet Set,
llvm::StringMap<SourceLocation> &SeenSelectors);
/// Parses an OpenMP context selector set.
void parseOMPContextSelectorSet(OMPTraitSet &TISet,
llvm::StringMap<SourceLocation> &SeenSets);
/// Parses OpenMP context selectors.
bool parseOMPContextSelectors(SourceLocation Loc, OMPTraitInfo &TI);
/// Parse an 'append_args' clause for '#pragma omp declare variant'.
bool parseOpenMPAppendArgs(
SmallVectorImpl<OMPDeclareVariantAttr::InteropType> &InterOpTypes);
/// Parse a `match` clause for an '#pragma omp declare variant'. Return true
/// if there was an error.
bool parseOMPDeclareVariantMatchClause(SourceLocation Loc, OMPTraitInfo &TI,
OMPTraitInfo *ParentTI);
/// Parse clauses for '#pragma omp declare variant'.
void ParseOMPDeclareVariantClauses(DeclGroupPtrTy Ptr, CachedTokens &Toks,
SourceLocation Loc);
/// Parse 'omp [begin] assume[s]' directive.
void ParseOpenMPAssumesDirective(OpenMPDirectiveKind DKind,
SourceLocation Loc);
/// Parse 'omp end assumes' directive.
void ParseOpenMPEndAssumesDirective(SourceLocation Loc);
/// Parse clauses for '#pragma omp [begin] declare target'.
void ParseOMPDeclareTargetClauses(Sema::DeclareTargetContextInfo &DTCI);
/// Parse '#pragma omp end declare target'.
void ParseOMPEndDeclareTargetDirective(OpenMPDirectiveKind BeginDKind,
OpenMPDirectiveKind EndDKind,
SourceLocation Loc);
/// Skip tokens until a `annot_pragma_openmp_end` was found. Emit a warning if
/// it is not the current token.
void skipUntilPragmaOpenMPEnd(OpenMPDirectiveKind DKind);
/// Check the \p FoundKind against the \p ExpectedKind, if not issue an error
/// that the "end" matching the "begin" directive of kind \p BeginKind was not
/// found. Finally, if the expected kind was found or if \p SkipUntilOpenMPEnd
/// is set, skip ahead using the helper `skipUntilPragmaOpenMPEnd`.
void parseOMPEndDirective(OpenMPDirectiveKind BeginKind,
OpenMPDirectiveKind ExpectedKind,
OpenMPDirectiveKind FoundKind,
SourceLocation MatchingLoc,
SourceLocation FoundLoc,
bool SkipUntilOpenMPEnd);
/// Parses declarative OpenMP directives.
DeclGroupPtrTy ParseOpenMPDeclarativeDirectiveWithExtDecl(
AccessSpecifier &AS, ParsedAttributesWithRange &Attrs,
bool Delayed = false, DeclSpec::TST TagType = DeclSpec::TST_unspecified,
Decl *TagDecl = nullptr);
/// Parse 'omp declare reduction' construct.
DeclGroupPtrTy ParseOpenMPDeclareReductionDirective(AccessSpecifier AS);
/// Parses initializer for provided omp_priv declaration inside the reduction
/// initializer.
void ParseOpenMPReductionInitializerForDecl(VarDecl *OmpPrivParm);
/// Parses 'omp declare mapper' directive.
DeclGroupPtrTy ParseOpenMPDeclareMapperDirective(AccessSpecifier AS);
/// Parses variable declaration in 'omp declare mapper' directive.
TypeResult parseOpenMPDeclareMapperVarDecl(SourceRange &Range,
DeclarationName &Name,
AccessSpecifier AS = AS_none);
/// Tries to parse cast part of OpenMP array shaping operation:
/// '[' expression ']' { '[' expression ']' } ')'.
bool tryParseOpenMPArrayShapingCastPart();
/// Parses simple list of variables.
///
/// \param Kind Kind of the directive.
/// \param Callback Callback function to be called for the list elements.
/// \param AllowScopeSpecifier true, if the variables can have fully
/// qualified names.
///
bool ParseOpenMPSimpleVarList(
OpenMPDirectiveKind Kind,
const llvm::function_ref<void(CXXScopeSpec &, DeclarationNameInfo)> &
Callback,
bool AllowScopeSpecifier);
/// Parses declarative or executable directive.
///
/// \param StmtCtx The context in which we're parsing the directive.
StmtResult
ParseOpenMPDeclarativeOrExecutableDirective(ParsedStmtContext StmtCtx);
/// Parses clause of kind \a CKind for directive of a kind \a Kind.
///
/// \param DKind Kind of current directive.
/// \param CKind Kind of current clause.
/// \param FirstClause true, if this is the first clause of a kind \a CKind
/// in current directive.
///
OMPClause *ParseOpenMPClause(OpenMPDirectiveKind DKind,
OpenMPClauseKind CKind, bool FirstClause);
/// Parses clause with a single expression of a kind \a Kind.
///
/// \param Kind Kind of current clause.
/// \param ParseOnly true to skip the clause's semantic actions and return
/// nullptr.
///
OMPClause *ParseOpenMPSingleExprClause(OpenMPClauseKind Kind,
bool ParseOnly);
/// Parses simple clause of a kind \a Kind.
///
/// \param Kind Kind of current clause.
/// \param ParseOnly true to skip the clause's semantic actions and return
/// nullptr.
///
OMPClause *ParseOpenMPSimpleClause(OpenMPClauseKind Kind, bool ParseOnly);
/// Parses indirect clause
/// \param ParseOnly true to skip the clause's semantic actions and return
// false;
bool ParseOpenMPIndirectClause(Sema::DeclareTargetContextInfo &DTCI,
bool ParseOnly);
/// Parses clause with a single expression and an additional argument
/// of a kind \a Kind.
///
/// \param DKind Directive kind.
/// \param Kind Kind of current clause.
/// \param ParseOnly true to skip the clause's semantic actions and return
/// nullptr.
///
OMPClause *ParseOpenMPSingleExprWithArgClause(OpenMPDirectiveKind DKind,
OpenMPClauseKind Kind,
bool ParseOnly);
/// Parses the 'sizes' clause of a '#pragma omp tile' directive.
OMPClause *ParseOpenMPSizesClause();
/// Parses clause without any additional arguments.
///
/// \param Kind Kind of current clause.
/// \param ParseOnly true to skip the clause's semantic actions and return
/// nullptr.
///
OMPClause *ParseOpenMPClause(OpenMPClauseKind Kind, bool ParseOnly = false);
/// Parses clause with the list of variables of a kind \a Kind.
///
/// \param Kind Kind of current clause.
/// \param ParseOnly true to skip the clause's semantic actions and return
/// nullptr.
///
OMPClause *ParseOpenMPVarListClause(OpenMPDirectiveKind DKind,
OpenMPClauseKind Kind, bool ParseOnly);
/// Parses and creates OpenMP 5.0 iterators expression:
/// <iterators> = 'iterator' '(' { [ <iterator-type> ] identifier =
/// <range-specification> }+ ')'
ExprResult ParseOpenMPIteratorsExpr();
/// Parses allocators and traits in the context of the uses_allocator clause.
/// Expected format:
/// '(' { <allocator> [ '(' <allocator_traits> ')' ] }+ ')'
OMPClause *ParseOpenMPUsesAllocatorClause(OpenMPDirectiveKind DKind);
/// Parses clause with an interop variable of kind \a Kind.
///
/// \param Kind Kind of current clause.
/// \param ParseOnly true to skip the clause's semantic actions and return
/// nullptr.
//
OMPClause *ParseOpenMPInteropClause(OpenMPClauseKind Kind, bool ParseOnly);
public:
/// Parses simple expression in parens for single-expression clauses of OpenMP
/// constructs.
/// \param RLoc Returned location of right paren.
ExprResult ParseOpenMPParensExpr(StringRef ClauseName, SourceLocation &RLoc,
bool IsAddressOfOperand = false);
/// Data used for parsing list of variables in OpenMP clauses.
struct OpenMPVarListDataTy {
Expr *DepModOrTailExpr = nullptr;
SourceLocation ColonLoc;
SourceLocation RLoc;
CXXScopeSpec ReductionOrMapperIdScopeSpec;
DeclarationNameInfo ReductionOrMapperId;
int ExtraModifier = -1; ///< Additional modifier for linear, map, depend or
///< lastprivate clause.
SmallVector<OpenMPMapModifierKind, NumberOfOMPMapClauseModifiers>
MapTypeModifiers;
SmallVector<SourceLocation, NumberOfOMPMapClauseModifiers>
MapTypeModifiersLoc;
SmallVector<OpenMPMotionModifierKind, NumberOfOMPMotionModifiers>
MotionModifiers;
SmallVector<SourceLocation, NumberOfOMPMotionModifiers> MotionModifiersLoc;
bool IsMapTypeImplicit = false;
SourceLocation ExtraModifierLoc;
};
/// Parses clauses with list.
bool ParseOpenMPVarList(OpenMPDirectiveKind DKind, OpenMPClauseKind Kind,
SmallVectorImpl<Expr *> &Vars,
OpenMPVarListDataTy &Data);
bool ParseUnqualifiedId(CXXScopeSpec &SS, ParsedType ObjectType,
bool ObjectHadErrors, bool EnteringContext,
bool AllowDestructorName, bool AllowConstructorName,
bool AllowDeductionGuide,
SourceLocation *TemplateKWLoc, UnqualifiedId &Result);
/// Parses the mapper modifier in map, to, and from clauses.
bool parseMapperModifier(OpenMPVarListDataTy &Data);
/// Parses map-type-modifiers in map clause.
/// map([ [map-type-modifier[,] [map-type-modifier[,] ...] map-type : ] list)
/// where, map-type-modifier ::= always | close | mapper(mapper-identifier)
bool parseMapTypeModifiers(OpenMPVarListDataTy &Data);
private:
//===--------------------------------------------------------------------===//
// C++ 14: Templates [temp]
// C++ 14.1: Template Parameters [temp.param]
Decl *ParseDeclarationStartingWithTemplate(DeclaratorContext Context,
SourceLocation &DeclEnd,
ParsedAttributes &AccessAttrs,
AccessSpecifier AS = AS_none);
Decl *ParseTemplateDeclarationOrSpecialization(DeclaratorContext Context,
SourceLocation &DeclEnd,
ParsedAttributes &AccessAttrs,
AccessSpecifier AS);
Decl *ParseSingleDeclarationAfterTemplate(
DeclaratorContext Context, const ParsedTemplateInfo &TemplateInfo,
ParsingDeclRAIIObject &DiagsFromParams, SourceLocation &DeclEnd,
ParsedAttributes &AccessAttrs, AccessSpecifier AS = AS_none);
bool ParseTemplateParameters(MultiParseScope &TemplateScopes, unsigned Depth,
SmallVectorImpl<NamedDecl *> &TemplateParams,
SourceLocation &LAngleLoc,
SourceLocation &RAngleLoc);
bool ParseTemplateParameterList(unsigned Depth,
SmallVectorImpl<NamedDecl*> &TemplateParams);
TPResult isStartOfTemplateTypeParameter();
NamedDecl *ParseTemplateParameter(unsigned Depth, unsigned Position);
NamedDecl *ParseTypeParameter(unsigned Depth, unsigned Position);
NamedDecl *ParseTemplateTemplateParameter(unsigned Depth, unsigned Position);
NamedDecl *ParseNonTypeTemplateParameter(unsigned Depth, unsigned Position);
bool isTypeConstraintAnnotation();
bool TryAnnotateTypeConstraint();
void DiagnoseMisplacedEllipsis(SourceLocation EllipsisLoc,
SourceLocation CorrectLoc,
bool AlreadyHasEllipsis,
bool IdentifierHasName);
void DiagnoseMisplacedEllipsisInDeclarator(SourceLocation EllipsisLoc,
Declarator &D);
// C++ 14.3: Template arguments [temp.arg]
typedef SmallVector<ParsedTemplateArgument, 16> TemplateArgList;
bool ParseGreaterThanInTemplateList(SourceLocation LAngleLoc,
SourceLocation &RAngleLoc,
bool ConsumeLastToken,
bool ObjCGenericList);
bool ParseTemplateIdAfterTemplateName(bool ConsumeLastToken,
SourceLocation &LAngleLoc,
TemplateArgList &TemplateArgs,
SourceLocation &RAngleLoc,
TemplateTy NameHint = nullptr);
bool AnnotateTemplateIdToken(TemplateTy Template, TemplateNameKind TNK,
CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
UnqualifiedId &TemplateName,
bool AllowTypeAnnotation = true,
bool TypeConstraint = false);
void AnnotateTemplateIdTokenAsType(CXXScopeSpec &SS,
bool IsClassName = false);
bool ParseTemplateArgumentList(TemplateArgList &TemplateArgs,
TemplateTy Template, SourceLocation OpenLoc);
ParsedTemplateArgument ParseTemplateTemplateArgument();
ParsedTemplateArgument ParseTemplateArgument();
Decl *ParseExplicitInstantiation(DeclaratorContext Context,
SourceLocation ExternLoc,
SourceLocation TemplateLoc,
SourceLocation &DeclEnd,
ParsedAttributes &AccessAttrs,
AccessSpecifier AS = AS_none);
// C++2a: Template, concept definition [temp]
Decl *
ParseConceptDefinition(const ParsedTemplateInfo &TemplateInfo,
SourceLocation &DeclEnd);
//===--------------------------------------------------------------------===//
// Modules
DeclGroupPtrTy ParseModuleDecl(bool IsFirstDecl);
Decl *ParseModuleImport(SourceLocation AtLoc);
bool parseMisplacedModuleImport();
bool tryParseMisplacedModuleImport() {
tok::TokenKind Kind = Tok.getKind();
if (Kind == tok::annot_module_begin || Kind == tok::annot_module_end ||
Kind == tok::annot_module_include)
return parseMisplacedModuleImport();
return false;
}
bool ParseModuleName(
SourceLocation UseLoc,
SmallVectorImpl<std::pair<IdentifierInfo *, SourceLocation>> &Path,
bool IsImport);
//===--------------------------------------------------------------------===//
// C++11/G++: Type Traits [Type-Traits.html in the GCC manual]
ExprResult ParseTypeTrait();
/// Parse the given string as a type.
///
/// This is a dangerous utility function currently employed only by API notes.
/// It is not a general entry-point for safely parsing types from strings.
///
/// \param typeStr The string to be parsed as a type.
/// \param context The name of the context in which this string is being
/// parsed, which will be used in diagnostics.
/// \param includeLoc The location at which this parse was triggered.
TypeResult parseTypeFromString(StringRef typeStr, StringRef context,
SourceLocation includeLoc);
//===--------------------------------------------------------------------===//
// Embarcadero: Arary and Expression Traits
ExprResult ParseArrayTypeTrait();
ExprResult ParseExpressionTrait();
ExprResult ParseBuiltinPtrauthTypeDiscriminator();
//===--------------------------------------------------------------------===//
// Preprocessor code-completion pass-through
void CodeCompleteDirective(bool InConditional) override;
void CodeCompleteInConditionalExclusion() override;
void CodeCompleteMacroName(bool IsDefinition) override;
void CodeCompletePreprocessorExpression() override;
void CodeCompleteMacroArgument(IdentifierInfo *Macro, MacroInfo *MacroInfo,
unsigned ArgumentIndex) override;
void CodeCompleteIncludedFile(llvm::StringRef Dir, bool IsAngled) override;
void CodeCompleteNaturalLanguage() override;
class GNUAsmQualifiers {
unsigned Qualifiers = AQ_unspecified;
public:
enum AQ {
AQ_unspecified = 0,
AQ_volatile = 1,
AQ_inline = 2,
AQ_goto = 4,
};
static const char *getQualifierName(AQ Qualifier);
bool setAsmQualifier(AQ Qualifier);
inline bool isVolatile() const { return Qualifiers & AQ_volatile; };
inline bool isInline() const { return Qualifiers & AQ_inline; };
inline bool isGoto() const { return Qualifiers & AQ_goto; }
};
bool isGCCAsmStatement(const Token &TokAfterAsm) const;
bool isGNUAsmQualifier(const Token &TokAfterAsm) const;
GNUAsmQualifiers::AQ getGNUAsmQualifier(const Token &Tok) const;
bool parseGNUAsmQualifierListOpt(GNUAsmQualifiers &AQ);
};
} // end namespace clang
#endif
|
GB_unaryop__abs_int16_uint16.c | //------------------------------------------------------------------------------
// GB_unaryop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2019, All Rights Reserved.
// http://suitesparse.com See GraphBLAS/Doc/License.txt for license.
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_iterator.h"
#include "GB_unaryop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB_unop__abs_int16_uint16
// op(A') function: GB_tran__abs_int16_uint16
// C type: int16_t
// A type: uint16_t
// cast: int16_t cij = (int16_t) aij
// unaryop: cij = GB_IABS (aij)
#define GB_ATYPE \
uint16_t
#define GB_CTYPE \
int16_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
uint16_t aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = GB_IABS (x) ;
// casting
#define GB_CASTING(z, x) \
int16_t z = (int16_t) x ;
// cij = op (cast (aij))
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
GB_GETA (aij, Ax, pA) ; \
/* Cx [pC] = op (cast (aij)) */ \
GB_CASTING (x, aij) ; \
GB_OP (GB_CX (pC), x) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_ABS || GxB_NO_INT16 || GxB_NO_UINT16)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop__abs_int16_uint16
(
int16_t *restrict Cx,
const uint16_t *restrict Ax,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (int64_t p = 0 ; p < anz ; p++)
{
GB_CAST_OP (p, p) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_tran__abs_int16_uint16
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t **Rowcounts,
GBI_single_iterator Iter,
const int64_t *restrict A_slice,
int naslice
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#define GB_PHASE_2_OF_2
#include "GB_unaryop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
SoaDistanceTableABOMP.h | //////////////////////////////////////////////////////////////////////////////////////
// This file is distributed under the University of Illinois/NCSA Open Source License.
// See LICENSE file in top directory for details.
//
// Copyright (c) 2016 Jeongnim Kim and QMCPACK developers.
//
// File developed by: Jeongnim Kim, jeongnim.kim@intel.com, Intel Corp.
// Amrita Mathuriya, amrita.mathuriya@intel.com, Intel Corp.
//
// File created by: Jeongnim Kim, jeongnim.kim@intel.com, Intel Corp.
//////////////////////////////////////////////////////////////////////////////////////
// -*- C++ -*-
#ifndef QMCPLUSPLUS_DTDIMPL_AB_OMP_H
#define QMCPLUSPLUS_DTDIMPL_AB_OMP_H
#include "OpenMP/OMPallocator.hpp"
#include "Platforms/PinnedAllocator.h"
#include "Particle/RealSpacePositionsOMP.h"
namespace qmcplusplus
{
/**@ingroup nnlist
* @brief A derived classe from DistacneTableData, specialized for AB using a transposed form
*/
template<typename T, unsigned D, int SC>
class SoaDistanceTableABOMP : public DTD_BConds<T, D, SC>, public DistanceTableData
{
private:
template<typename DT>
using OffloadPinnedVector = Vector<DT, OMPallocator<DT, PinnedAlignedAllocator<DT>>>;
///accelerator output array for multiple walkers, N_targets x N_sources_padded x (D+1) (distances, displacements)
OffloadPinnedVector<RealType> offload_output;
///accelerator input array for a list of target particle positions, N_targets x D
OffloadPinnedVector<RealType> target_pos;
///accelerator input buffer for multiple data set
OffloadPinnedVector<char> offload_input;
///accelerator output buffer for r and dr
OffloadPinnedVector<RealType> r_dr_memorypool_;
///target particle id
std::vector<int> particle_id;
///device pointer of r_dr_memorypool_
RealType* r_dr_device_ptr_;
/// timer for offload portion
NewTimer& offload_timer_;
/// timer for copy portion
NewTimer& copy_timer_;
/// timer for offload portion
NewTimer& eval_timer_;
public:
SoaDistanceTableABOMP(const ParticleSet& source, ParticleSet& target)
: DTD_BConds<T, D, SC>(source.Lattice),
DistanceTableData(source, target),
r_dr_device_ptr_(nullptr),
offload_timer_(*timer_manager.createTimer(std::string("SoaDistanceTableABOMP::offload_") + target.getName() + "_" + source.getName(), timer_level_fine)),
copy_timer_(*timer_manager.createTimer(std::string("SoaDistanceTableABOMP::copy_") + target.getName() + "_" + source.getName(), timer_level_fine)),
eval_timer_(*timer_manager.createTimer(std::string("SoaDistanceTableABOMP::evaluate_") + target.getName() + "_" + source.getName(), timer_level_fine))
{
auto* coordinates_soa = dynamic_cast<const RealSpacePositionsOMP*>(&source.getCoordinates());
if (!coordinates_soa) throw std::runtime_error("Source particle set doesn't have OpenMP offload. Contact developers!");
resize(source.getTotalNum(), target.getTotalNum());
#pragma omp target enter data map(to:this[:1])
}
void resize(int ns, int nt)
{
N_sources = ns;
N_targets = nt;
if (N_sources * N_targets == 0)
return;
// initialize memory containers and views
const int N_sources_padded = getAlignedSize<T>(N_sources);
const int stride_size = N_sources_padded * (D + 1);
r_dr_memorypool_.resize(stride_size * N_targets);
auto* pool_ptr = r_dr_memorypool_.data();
#pragma omp target data use_device_ptr(pool_ptr)
{
r_dr_device_ptr_ = pool_ptr;
}
distances_.resize(N_targets);
displacements_.resize(N_targets);
for (int i = 0; i < N_targets; ++i)
{
distances_[i].attachReference(r_dr_memorypool_.data() + i * stride_size, N_sources);
displacements_[i].attachReference(N_sources, N_sources_padded, r_dr_memorypool_.data() + i * stride_size + N_sources_padded);
}
// The padding of temp_r_ and temp_dr_ is necessary for the memory copy in the update function
// temp_r_ is padded explicitly while temp_dr_ is padded internally
temp_r_.resize(N_sources_padded);
temp_dr_.resize(N_sources);
}
SoaDistanceTableABOMP() = delete;
SoaDistanceTableABOMP(const SoaDistanceTableABOMP&) = delete;
~SoaDistanceTableABOMP()
{
#pragma omp target exit data map(delete:this[:1])
}
/** evaluate the full table */
inline void evaluate(ParticleSet& P)
{
ScopedTimer eval(&eval_timer_);
// be aware of the sign of Displacement
const int N_targets_local = N_targets;
const int N_sources_local = N_sources;
const int N_sources_padded = getAlignedSize<T>(N_sources);
target_pos.resize(N_targets * D);
for (size_t iat = 0; iat < N_targets; iat++)
for (size_t idim = 0; idim < D; idim++)
target_pos[iat * D + idim] = P.R[iat][idim];
auto* target_pos_ptr = target_pos.data();
auto* source_pos_ptr = Origin->getCoordinates().getAllParticlePos().data();
auto* r_dr_ptr = r_dr_memorypool_.data();
// To maximize thread usage, the loop over electrons is chunked. Each chunk is sent to an OpenMP offload thread team.
const int ChunkSizePerTeam = 256;
const int num_teams = (N_sources + ChunkSizePerTeam - 1) / ChunkSizePerTeam;
{
ScopedTimer offload(&offload_timer_);
#pragma omp target teams distribute collapse(2) num_teams(N_targets*num_teams) \
map(to: source_pos_ptr[:N_sources_padded*D]) \
map(always, to: target_pos_ptr[:N_targets*D]) \
map(always, from: r_dr_ptr[:r_dr_memorypool_.size()])
for (int iat = 0; iat < N_targets_local; ++iat)
for (int team_id = 0; team_id < num_teams; team_id++)
{
const int first = ChunkSizePerTeam * team_id;
const int last = (first + ChunkSizePerTeam) > N_sources_local ? N_sources_local : first + ChunkSizePerTeam;
T pos[D];
for (int idim = 0; idim < D; idim++)
pos[idim] = target_pos_ptr[iat * D + idim];
const size_t stride_size = N_sources_padded * (D + 1);
auto* r_iat_ptr = r_dr_ptr + iat * stride_size;
auto* dr_iat_ptr = r_iat_ptr + N_sources_padded;
DTD_BConds<T, D, SC>::computeDistancesOffload(pos, source_pos_ptr, r_iat_ptr, dr_iat_ptr, N_sources_padded,
first, last);
}
}
}
/** It has two implementation mw_evaluate_transfer_inplace and mw_evaluate_fuse_transfer with different D2H memory transfer schemes.
* Eventually, there will be only one version wihtout any transfer and solve the dilemma.
*/
inline void mw_evaluate(const RefVector<DistanceTableData>& dt_list, const RefVector<ParticleSet>& p_list)
{
ScopedTimer eval(&eval_timer_);
mw_evaluate_fuse_transfer(dt_list, p_list);
}
/** this function implements mw_evaluate.
* After offloading the computation of distances and displacements, the per-walker result is transferred back walker by walker in place.
* The runtime overhead is very high for small problem size with many walkers.
*/
inline void mw_evaluate_transfer_inplace(const RefVector<DistanceTableData>& dt_list, const RefVector<ParticleSet>& p_list)
{
const size_t nw = dt_list.size();
size_t count_targets = 0;
for (ParticleSet& p: p_list)
count_targets += p.getTotalNum();
const size_t total_targets = count_targets;
// This is horrible optimization putting different data types in a single buffer but allows a single H2D transfer
constexpr size_t realtype_size = sizeof(RealType);
constexpr size_t int_size = sizeof(int);
constexpr size_t ptr_size = sizeof(RealType*);
offload_input.resize(total_targets * D * realtype_size + total_targets * int_size + (nw + total_targets) * ptr_size);
auto target_positions = reinterpret_cast<RealType*>(offload_input.data());
auto walker_id_ptr = reinterpret_cast<int*>(offload_input.data() + total_targets * D * realtype_size);
auto source_ptrs = reinterpret_cast<RealType**>(offload_input.data() + total_targets * D * realtype_size + total_targets * int_size);
auto output_ptrs = reinterpret_cast<RealType**>(offload_input.data() + total_targets * D * realtype_size + total_targets * int_size + nw * ptr_size);
const int N_sources_padded = getAlignedSize<T>(N_sources);
offload_output.resize(total_targets * N_sources_padded * (D + 1));
count_targets = 0;
for (size_t iw = 0; iw < nw; iw++)
{
auto& dt = static_cast<SoaDistanceTableABOMP&>(dt_list[iw].get());
ParticleSet& pset(p_list[iw]);
assert(N_sources == dt.N_sources);
auto& RSoA_OMP = static_cast<const RealSpacePositionsOMP&>(dt.Origin->getCoordinates());
source_ptrs[iw] = const_cast<RealType*>(RSoA_OMP.getDevicePtr());
for (size_t iat = 0; iat < pset.getTotalNum(); ++iat, ++count_targets)
{
for (size_t idim = 0; idim < D; idim++)
target_positions[count_targets * D + idim] = pset.R[iat][idim];
walker_id_ptr[count_targets] = iw;
output_ptrs[count_targets] = dt.r_dr_device_ptr_ + iat * N_sources_padded * (D + 1);
}
}
const int N_sources_local = N_sources;
// To maximize thread usage, the loop over electrons is chunked. Each chunk is sent to an OpenMP offload thread team.
const int ChunkSizePerTeam = 256;
const int num_teams = (N_sources + ChunkSizePerTeam - 1) / ChunkSizePerTeam;
auto* input_ptr = offload_input.data();
{
ScopedTimer offload(&offload_timer_);
#pragma omp target teams distribute collapse(2) num_teams(total_targets*num_teams) \
map(always, to: input_ptr[:offload_input.size()]) \
nowait depend(out: total_targets)
for (int iat = 0; iat < total_targets; ++iat)
for (int team_id = 0; team_id < num_teams; team_id++)
{
auto* target_pos_ptr = reinterpret_cast<RealType*>(input_ptr);
const int walker_id = reinterpret_cast<int*>(input_ptr + total_targets * D * realtype_size)[iat];
auto* source_pos_ptr = reinterpret_cast<RealType**>(input_ptr + total_targets * D * realtype_size + total_targets * int_size)[walker_id];
auto* r_iat_ptr = reinterpret_cast<RealType**>(input_ptr + total_targets * D * realtype_size + total_targets * int_size + nw * ptr_size)[iat];
auto* dr_iat_ptr = r_iat_ptr + N_sources_padded;
const int first = ChunkSizePerTeam * team_id;
const int last = (first + ChunkSizePerTeam) > N_sources_local ? N_sources_local : first + ChunkSizePerTeam;
T pos[D];
for (int idim = 0; idim < D; idim++)
pos[idim] = target_pos_ptr[iat * D + idim];
DTD_BConds<T, D, SC>::computeDistancesOffload(pos, source_pos_ptr, r_iat_ptr, dr_iat_ptr, N_sources_padded,
first, last);
}
}
{
ScopedTimer copy(©_timer_);
for (size_t iw = 0; iw < nw; iw++)
{
auto& dt = static_cast<SoaDistanceTableABOMP&>(dt_list[iw].get());
auto* pool_ptr = dt.r_dr_memorypool_.data();
#pragma omp target update from(pool_ptr[:dt.r_dr_memorypool_.size()]) nowait depend(inout:total_targets)
}
#pragma omp taskwait
}
}
/** this function implements mw_evaluate.
* After offloading the computation of distances and displacements, the result for all the walkers is transferred back together in one shot
* and then copied to per-walker data structure. Memory copy on the CPU is still costly and not beneficial for large problem size with a few walkers.
*/
inline void mw_evaluate_fuse_transfer(const RefVector<DistanceTableData>& dt_list, const RefVector<ParticleSet>& p_list)
{
const size_t nw = dt_list.size();
size_t count_targets = 0;
for (ParticleSet& p: p_list)
count_targets += p.getTotalNum();
const size_t total_targets = count_targets;
// This is horrible optimization putting different data types in a single buffer but allows a single H2D transfer
const size_t realtype_size = sizeof(RealType);
const size_t int_size = sizeof(int);
const size_t ptr_size = sizeof(RealType*);
offload_input.resize(total_targets * D * realtype_size + total_targets * int_size + nw * ptr_size);
auto target_positions = reinterpret_cast<RealType*>(offload_input.data());
auto walker_id_ptr = reinterpret_cast<int*>(offload_input.data() + total_targets * D * realtype_size);
auto source_ptrs = reinterpret_cast<RealType**>(offload_input.data() + total_targets * D * realtype_size + total_targets * int_size);
particle_id.resize(total_targets);
const int N_sources_padded = getAlignedSize<T>(N_sources);
offload_output.resize(total_targets * N_sources_padded * (D + 1));
count_targets = 0;
for (size_t iw = 0; iw < nw; iw++)
{
auto& dt = static_cast<SoaDistanceTableABOMP&>(dt_list[iw].get());
ParticleSet& pset(p_list[iw]);
assert(N_sources == dt.N_sources);
auto& RSoA_OMP = static_cast<const RealSpacePositionsOMP&>(dt.Origin->getCoordinates());
source_ptrs[iw] = const_cast<RealType*>(RSoA_OMP.getDevicePtr());
for (size_t iat = 0; iat < pset.getTotalNum(); ++iat, ++count_targets)
{
for (size_t idim = 0; idim < D; idim++)
target_positions[count_targets * D + idim] = pset.R[iat][idim];
walker_id_ptr[count_targets] = iw;
particle_id[count_targets] = iat;
}
}
const int N_sources_local = N_sources;
// To maximize thread usage, the loop over electrons is chunked. Each chunk is sent to an OpenMP offload thread team.
const int ChunkSizePerTeam = 256;
const int num_teams = (N_sources + ChunkSizePerTeam - 1) / ChunkSizePerTeam;
auto* r_dr_ptr = offload_output.data();
auto* input_ptr = offload_input.data();
{
ScopedTimer offload(&offload_timer_);
#pragma omp target teams distribute collapse(2) num_teams(total_targets*num_teams) \
map(always, to: input_ptr[:offload_input.size()]) \
map(always, from: r_dr_ptr[:offload_output.size()])
for (int iat = 0; iat < total_targets; ++iat)
for (int team_id = 0; team_id < num_teams; team_id++)
{
auto* target_pos_ptr = reinterpret_cast<RealType*>(input_ptr);
const int walker_id = reinterpret_cast<int*>(input_ptr + total_targets * D * realtype_size)[iat];
auto* source_pos_ptr = reinterpret_cast<RealType**>(input_ptr + total_targets * D * realtype_size + total_targets * int_size)[walker_id];
auto* r_iat_ptr = r_dr_ptr + iat * N_sources_padded * (D + 1);
auto* dr_iat_ptr = r_dr_ptr + iat * N_sources_padded * (D + 1) + N_sources_padded;
const int first = ChunkSizePerTeam * team_id;
const int last = (first + ChunkSizePerTeam) > N_sources_local ? N_sources_local : first + ChunkSizePerTeam;
T pos[D];
for (int idim = 0; idim < D; idim++)
pos[idim] = target_pos_ptr[iat * D + idim];
DTD_BConds<T, D, SC>::computeDistancesOffload(pos, source_pos_ptr, r_iat_ptr, dr_iat_ptr, N_sources_padded,
first, last);
}
}
{
ScopedTimer copy(©_timer_);
for (size_t iat = 0; iat < total_targets; iat++)
{
const int wid = walker_id_ptr[iat];
const int pid = particle_id[iat];
auto& dt = static_cast<SoaDistanceTableABOMP&>(dt_list[wid].get());
assert(N_sources_padded == dt.displacements_[pid].capacity());
auto offset = offload_output.data() + iat * N_sources_padded * (D + 1);
std::copy_n(offset, N_sources_padded, dt.distances_[pid].data());
std::copy_n(offset + N_sources_padded, N_sources_padded * D, dt.displacements_[pid].data());
}
}
}
///evaluate the temporary pair relations
inline void move(const ParticleSet& P, const PosType& rnew, const IndexType iat, bool prepare_old)
{
DTD_BConds<T, D, SC>::computeDistances(rnew, Origin->getCoordinates().getAllParticlePos(), temp_r_.data(), temp_dr_, 0,
N_sources);
// If the full table is not ready all the time, overwrite the current value.
// If this step is missing, DT values can be undefined in case a move is rejected.
if (!need_full_table_)
DTD_BConds<T, D, SC>::computeDistances(P.R[iat], Origin->getCoordinates().getAllParticlePos(), distances_[iat].data(),
displacements_[iat], 0, N_sources);
}
///update the stripe for jat-th particle
inline void update(IndexType iat, bool partial_update)
{
std::copy_n(temp_r_.data(), N_sources, distances_[iat].data());
for (int idim = 0; idim < D; ++idim)
std::copy_n(temp_dr_.data(idim), N_sources, displacements_[iat].data(idim));
}
size_t get_neighbors(int iat,
RealType rcut,
int* restrict jid,
RealType* restrict dist,
PosType* restrict displ) const
{
constexpr T cminus(-1);
size_t nn = 0;
for (int jat = 0; jat < N_targets; ++jat)
{
const RealType rij = distances_[jat][iat];
if (rij < rcut)
{ //make the compact list
jid[nn] = jat;
dist[nn] = rij;
displ[nn] = cminus * displacements_[jat][iat];
nn++;
}
}
return nn;
}
int get_first_neighbor(IndexType iat, RealType& r, PosType& dr, bool newpos) const
{
RealType min_dist = std::numeric_limits<RealType>::max();
int index = -1;
if (newpos)
{
for (int jat = 0; jat < N_sources; ++jat)
if (temp_r_[jat] < min_dist)
{
min_dist = temp_r_[jat];
index = jat;
}
if (index >= 0)
{
r = min_dist;
dr = temp_dr_[index];
}
}
else
{
for (int jat = 0; jat < N_sources; ++jat)
if (distances_[iat][jat] < min_dist)
{
min_dist = distances_[iat][jat];
index = jat;
}
if (index >= 0)
{
r = min_dist;
dr = displacements_[iat][index];
}
}
return index;
}
size_t get_neighbors(int iat, RealType rcut, RealType* restrict dist) const
{
size_t nn = 0;
for (int jat = 0; jat < N_targets; ++jat)
{
const RealType rij = distances_[jat][iat];
if (rij < rcut)
{ //make the compact list
dist[nn] = rij;
nn++;
}
}
return nn;
}
};
} // namespace qmcplusplus
#endif
|
program_schedule_auto.c | #include <stdio.h>
#include <omp.h>
#include <stdlib.h>
#include <unistd.h>
int main(int argc, char* argv[]) {
int thread_count = strtol(argv[1], NULL, 10);
int n = strtol(argv[2], NULL, 10);
#pragma omp parallel for num_threads(thread_count) schedule(auto)
for (int i = 0; i < n; i ++) {
printf("i=%d, thread_id=%d\n", i, omp_get_thread_num());
}
return 0;
} |
kmp_sch_simd_guided.c | // RUN: %libomp-compile-and-run
// REQUIRES: openmp-4.5
/*
Test for the 'schedule(simd:guided)' clause.
Compiler needs to generate a dynamic dispatching and pass the schedule
value 46 to the OpenMP RTL. Test uses numerous loop parameter combinations.
*/
#include <stdio.h>
#include <omp.h>
#if defined(WIN32) || defined(_WIN32)
#include <windows.h>
#define delay() Sleep(1);
#else
#include <unistd.h>
#define delay() usleep(10);
#endif
// uncomment for debug diagnostics:
//#define DEBUG
#define SIMD_LEN 4
// ---------------------------------------------------------------------------
// Various definitions copied from OpenMP RTL
enum sched {
kmp_sch_static_balanced_chunked = 45,
kmp_sch_guided_simd = 46,
kmp_sch_runtime_simd = 47,
};
typedef unsigned u32;
typedef long long i64;
typedef unsigned long long u64;
typedef struct {
int reserved_1;
int flags;
int reserved_2;
int reserved_3;
char *psource;
} id;
extern int __kmpc_global_thread_num(id*);
extern void __kmpc_barrier(id*, int gtid);
extern void __kmpc_dispatch_init_4(id*, int, enum sched, int, int, int, int);
extern void __kmpc_dispatch_init_8(id*, int, enum sched, i64, i64, i64, i64);
extern int __kmpc_dispatch_next_4(id*, int, void*, void*, void*, void*);
extern int __kmpc_dispatch_next_8(id*, int, void*, void*, void*, void*);
// End of definitions copied from OpenMP RTL.
// ---------------------------------------------------------------------------
static id loc = {0, 2, 0, 0, ";file;func;0;0;;"};
// ---------------------------------------------------------------------------
int run_loop_64(i64 loop_lb, i64 loop_ub, i64 loop_st, int loop_chunk) {
int err = 0;
static int volatile loop_sync = 0;
i64 lb; // Chunk lower bound
i64 ub; // Chunk upper bound
i64 st; // Chunk stride
int rc;
int tid = omp_get_thread_num();
int gtid = tid;
int last;
#if DEBUG
printf("run_loop_<%d>(lb=%d, ub=%d, st=%d, ch=%d)\n",
(int)sizeof(i64), gtid, tid,
(int)loop_lb, (int)loop_ub, (int)loop_st, loop_chunk);
#endif
// Don't test degenerate cases that should have been discovered by codegen
if (loop_st == 0)
return 0;
if (loop_st > 0 ? loop_lb > loop_ub : loop_lb < loop_ub)
return 0;
__kmpc_dispatch_init_8(&loc, gtid, kmp_sch_guided_simd,
loop_lb, loop_ub, loop_st, loop_chunk);
if (tid == 0) {
// Let the master thread handle the chunks alone
int chunk; // No of current chunk
i64 next_lb; // Lower bound of the next chunk
i64 last_ub; // Upper bound of the last processed chunk
u64 cur; // Number of interations in current chunk
u64 max; // Max allowed iterations for current chunk
int undersized = 0;
chunk = 0;
next_lb = loop_lb;
max = (loop_ub - loop_lb) / loop_st + 1;
// The first chunk can consume all iterations
while (__kmpc_dispatch_next_8(&loc, gtid, &last, &lb, &ub, &st)) {
++ chunk;
#if DEBUG
printf("chunk=%d, lb=%d, ub=%d\n", chunk, (int)lb, (int)ub);
#endif
// Check if previous chunk (it is not the final chunk) is undersized
if (undersized) {
printf("Error with chunk %d\n", chunk);
err++;
}
// Check lower and upper bounds
if (lb != next_lb) {
printf("Error with lb %d, %d, ch %d\n", (int)lb, (int)next_lb, chunk);
err++;
}
if (loop_st > 0) {
if (!(ub <= loop_ub)) {
printf("Error with ub %d, %d, ch %d\n", (int)ub, (int)loop_ub, chunk);
err++;
}
if (!(lb <= ub)) {
printf("Error with bounds %d, %d, %d\n", (int)lb, (int)ub, chunk);
err++;
}
} else {
if (!(ub >= loop_ub)) {
printf("Error with ub %d, %d, %d\n", (int)ub, (int)loop_ub, chunk);
err++;
}
if (!(lb >= ub)) {
printf("Error with bounds %d, %d, %d\n", (int)lb, (int)ub, chunk);
err++;
}
}; // if
// Stride should not change
if (!(st == loop_st)) {
printf("Error with st %d, %d, ch %d\n", (int)st, (int)loop_st, chunk);
err++;
}
cur = (ub - lb) / loop_st + 1;
// Guided scheduling uses FP computations, so current chunk may
// be a bit bigger (+1) than allowed maximum
if (!(cur <= max + 1)) {
printf("Error with iter %d, %d\n", cur, max);
err++;
}
// Update maximum for the next chunk
if (cur < max)
max = cur;
next_lb = ub + loop_st;
last_ub = ub;
undersized = (cur < loop_chunk);
}; // while
// Must have at least one chunk
if (!(chunk > 0)) {
printf("Error with chunk %d\n", chunk);
err++;
}
// Must have the right last iteration index
if (loop_st > 0) {
if (!(last_ub <= loop_ub)) {
printf("Error with last1 %d, %d, ch %d\n",
(int)last_ub, (int)loop_ub, chunk);
err++;
}
if (!(last_ub + loop_st > loop_ub)) {
printf("Error with last2 %d, %d, %d, ch %d\n",
(int)last_ub, (int)loop_st, (int)loop_ub, chunk);
err++;
}
} else {
if (!(last_ub >= loop_ub)) {
printf("Error with last1 %d, %d, ch %d\n",
(int)last_ub, (int)loop_ub, chunk);
err++;
}
if (!(last_ub + loop_st < loop_ub)) {
printf("Error with last2 %d, %d, %d, ch %d\n",
(int)last_ub, (int)loop_st, (int)loop_ub, chunk);
err++;
}
}; // if
// Let non-master threads go
loop_sync = 1;
} else {
int i;
// Workers wait for master thread to finish, then call __kmpc_dispatch_next
for (i = 0; i < 1000000; ++ i) {
if (loop_sync != 0) {
break;
}; // if
}; // for i
while (loop_sync == 0) {
delay();
}; // while
// At this moment we do not have any more chunks -- all the chunks already
// processed by master thread
rc = __kmpc_dispatch_next_8(&loc, gtid, &last, &lb, &ub, &st);
if (rc) {
printf("Error return value\n");
err++;
}
}; // if
__kmpc_barrier(&loc, gtid);
if (tid == 0) {
loop_sync = 0; // Restore original state
#if DEBUG
printf("run_loop_64(): at the end\n");
#endif
}; // if
__kmpc_barrier(&loc, gtid);
return err;
} // run_loop
// ---------------------------------------------------------------------------
int run_loop_32(int loop_lb, int loop_ub, int loop_st, int loop_chunk) {
int err = 0;
static int volatile loop_sync = 0;
int lb; // Chunk lower bound
int ub; // Chunk upper bound
int st; // Chunk stride
int rc;
int tid = omp_get_thread_num();
int gtid = tid;
int last;
#if DEBUG
printf("run_loop_<%d>(lb=%d, ub=%d, st=%d, ch=%d)\n",
(int)sizeof(int), gtid, tid,
(int)loop_lb, (int)loop_ub, (int)loop_st, loop_chunk);
#endif
// Don't test degenerate cases that should have been discovered by codegen
if (loop_st == 0)
return 0;
if (loop_st > 0 ? loop_lb > loop_ub : loop_lb < loop_ub)
return 0;
__kmpc_dispatch_init_4(&loc, gtid, kmp_sch_guided_simd,
loop_lb, loop_ub, loop_st, loop_chunk);
if (tid == 0) {
// Let the master thread handle the chunks alone
int chunk; // No of current chunk
int next_lb; // Lower bound of the next chunk
int last_ub; // Upper bound of the last processed chunk
u64 cur; // Number of interations in current chunk
u64 max; // Max allowed iterations for current chunk
int undersized = 0;
chunk = 0;
next_lb = loop_lb;
max = (loop_ub - loop_lb) / loop_st + 1;
// The first chunk can consume all iterations
while (__kmpc_dispatch_next_4(&loc, gtid, &last, &lb, &ub, &st)) {
++ chunk;
#if DEBUG
printf("chunk=%d, lb=%d, ub=%d\n", chunk, (int)lb, (int)ub);
#endif
// Check if previous chunk (it is not the final chunk) is undersized
if (undersized) {
printf("Error with chunk %d\n", chunk);
err++;
}
// Check lower and upper bounds
if (lb != next_lb) {
printf("Error with lb %d, %d, ch %d\n", (int)lb, (int)next_lb, chunk);
err++;
}
if (loop_st > 0) {
if (!(ub <= loop_ub)) {
printf("Error with ub %d, %d, ch %d\n", (int)ub, (int)loop_ub, chunk);
err++;
}
if (!(lb <= ub)) {
printf("Error with bounds %d, %d, %d\n", (int)lb, (int)ub, chunk);
err++;
}
} else {
if (!(ub >= loop_ub)) {
printf("Error with ub %d, %d, %d\n", (int)ub, (int)loop_ub, chunk);
err++;
}
if (!(lb >= ub)) {
printf("Error with bounds %d, %d, %d\n", (int)lb, (int)ub, chunk);
err++;
}
}; // if
// Stride should not change
if (!(st == loop_st)) {
printf("Error with st %d, %d, ch %d\n", (int)st, (int)loop_st, chunk);
err++;
}
cur = (ub - lb) / loop_st + 1;
// Guided scheduling uses FP computations, so current chunk may
// be a bit bigger (+1) than allowed maximum
if (!(cur <= max + 1)) {
printf("Error with iter %d, %d\n", cur, max);
err++;
}
// Update maximum for the next chunk
if (cur < max)
max = cur;
next_lb = ub + loop_st;
last_ub = ub;
undersized = (cur < loop_chunk);
}; // while
// Must have at least one chunk
if (!(chunk > 0)) {
printf("Error with chunk %d\n", chunk);
err++;
}
// Must have the right last iteration index
if (loop_st > 0) {
if (!(last_ub <= loop_ub)) {
printf("Error with last1 %d, %d, ch %d\n",
(int)last_ub, (int)loop_ub, chunk);
err++;
}
if (!(last_ub + loop_st > loop_ub)) {
printf("Error with last2 %d, %d, %d, ch %d\n",
(int)last_ub, (int)loop_st, (int)loop_ub, chunk);
err++;
}
} else {
if (!(last_ub >= loop_ub)) {
printf("Error with last1 %d, %d, ch %d\n",
(int)last_ub, (int)loop_ub, chunk);
err++;
}
if (!(last_ub + loop_st < loop_ub)) {
printf("Error with last2 %d, %d, %d, ch %d\n",
(int)last_ub, (int)loop_st, (int)loop_ub, chunk);
err++;
}
}; // if
// Let non-master threads go
loop_sync = 1;
} else {
int i;
// Workers wait for master thread to finish, then call __kmpc_dispatch_next
for (i = 0; i < 1000000; ++ i) {
if (loop_sync != 0) {
break;
}; // if
}; // for i
while (loop_sync == 0) {
delay();
}; // while
// At this moment we do not have any more chunks -- all the chunks already
// processed by the master thread
rc = __kmpc_dispatch_next_4(&loc, gtid, &last, &lb, &ub, &st);
if (rc) {
printf("Error return value\n");
err++;
}
}; // if
__kmpc_barrier(&loc, gtid);
if (tid == 0) {
loop_sync = 0; // Restore original state
#if DEBUG
printf("run_loop<>(): at the end\n");
#endif
}; // if
__kmpc_barrier(&loc, gtid);
return err;
} // run_loop
// ---------------------------------------------------------------------------
int run_64(int num_th)
{
int err = 0;
#pragma omp parallel num_threads(num_th)
{
int chunk;
i64 st, lb, ub;
for (chunk = SIMD_LEN; chunk <= 3*SIMD_LEN; chunk += SIMD_LEN) {
for (st = 1; st <= 3; ++ st) {
for (lb = -3 * num_th * st; lb <= 3 * num_th * st; ++ lb) {
for (ub = lb; ub < lb + num_th * (chunk+1) * st; ++ ub) {
err += run_loop_64(lb, ub, st, chunk);
err += run_loop_64(ub, lb, -st, chunk);
}; // for ub
}; // for lb
}; // for st
}; // for chunk
}
return err;
} // run_all
int run_32(int num_th)
{
int err = 0;
#pragma omp parallel num_threads(num_th)
{
int chunk, st, lb, ub;
for (chunk = SIMD_LEN; chunk <= 3*SIMD_LEN; chunk += SIMD_LEN) {
for (st = 1; st <= 3; ++ st) {
for (lb = -3 * num_th * st; lb <= 3 * num_th * st; ++ lb) {
for (ub = lb; ub < lb + num_th * (chunk+1) * st; ++ ub) {
err += run_loop_32(lb, ub, st, chunk);
err += run_loop_32(ub, lb, -st, chunk);
}; // for ub
}; // for lb
}; // for st
}; // for chunk
}
return err;
} // run_all
// ---------------------------------------------------------------------------
int main()
{
int n, err = 0;
for (n = 1; n <= 4; ++ n) {
err += run_32(n);
err += run_64(n);
}; // for n
if (err)
printf("failed with %d errors\n", err);
else
printf("passed\n");
return err;
}
|
3d7pt_var.lbpar.c | #include <omp.h>
#include <math.h>
#define ceild(n,d) ceil(((double)(n))/((double)(d)))
#define floord(n,d) floor(((double)(n))/((double)(d)))
#define max(x,y) ((x) > (y)? (x) : (y))
#define min(x,y) ((x) < (y)? (x) : (y))
/*
* Order-1, 3D 7 point stencil with variable coefficients
* Adapted from PLUTO and Pochoir test bench
*
* Tareq Malas
*/
#include <stdio.h>
#include <stdlib.h>
#include <sys/time.h>
#ifdef LIKWID_PERFMON
#include <likwid.h>
#endif
#include "print_utils.h"
#define TESTS 2
#define MAX(a,b) ((a) > (b) ? a : b)
#define MIN(a,b) ((a) < (b) ? a : b)
/* Subtract the `struct timeval' values X and Y,
* storing the result in RESULT.
*
* Return 1 if the difference is negative, otherwise 0.
*/
int timeval_subtract(struct timeval *result, struct timeval *x, struct timeval *y)
{
/* Perform the carry for the later subtraction by updating y. */
if (x->tv_usec < y->tv_usec)
{
int nsec = (y->tv_usec - x->tv_usec) / 1000000 + 1;
y->tv_usec -= 1000000 * nsec;
y->tv_sec += nsec;
}
if (x->tv_usec - y->tv_usec > 1000000)
{
int nsec = (x->tv_usec - y->tv_usec) / 1000000;
y->tv_usec += 1000000 * nsec;
y->tv_sec -= nsec;
}
/* Compute the time remaining to wait.
* tv_usec is certainly positive.
*/
result->tv_sec = x->tv_sec - y->tv_sec;
result->tv_usec = x->tv_usec - y->tv_usec;
/* Return 1 if result is negative. */
return x->tv_sec < y->tv_sec;
}
int main(int argc, char *argv[])
{
int t, i, j, k, m, test;
int Nx, Ny, Nz, Nt;
if (argc > 3) {
Nx = atoi(argv[1])+2;
Ny = atoi(argv[2])+2;
Nz = atoi(argv[3])+2;
}
if (argc > 4)
Nt = atoi(argv[4]);
// allocate the arrays
double ****A = (double ****) malloc(sizeof(double***)*2);
for(m=0; m<2;m++){
A[m] = (double ***) malloc(sizeof(double**)*Nz);
for(i=0; i<Nz; i++){
A[m][i] = (double**) malloc(sizeof(double*)*Ny);
for(j=0;j<Ny;j++){
A[m][i][j] = (double*) malloc(sizeof(double)*Nx);
}
}
}
double ****coef = (double ****) malloc(sizeof(double***)*7);
for(m=0; m<7;m++){
coef[m] = (double ***) malloc(sizeof(double**)*Nz);
for(i=0; i<Nz; i++){
coef[m][i] = (double**) malloc(sizeof(double*)*Ny);
for(j=0;j<Ny;j++){
coef[m][i][j] = (double*) malloc(sizeof(double)*Nx);
}
}
}
// tile size information, including extra element to decide the list length
int *tile_size = (int*) malloc(sizeof(int));
tile_size[0] = -1;
// The list is modified here before source-to-source transformations
tile_size = (int*) realloc((void *)tile_size, sizeof(int)*5);
tile_size[0] = 32;
tile_size[1] = 32;
tile_size[2] = 8;
tile_size[3] = 512;
tile_size[4] = -1;
// for timekeeping
int ts_return = -1;
struct timeval start, end, result;
double tdiff = 0.0, min_tdiff=1.e100;
const int BASE = 1024;
// initialize variables
//
srand(42);
for (i = 1; i < Nz; i++) {
for (j = 1; j < Ny; j++) {
for (k = 1; k < Nx; k++) {
A[0][i][j][k] = 1.0 * (rand() % BASE);
}
}
}
for (m=0; m<7; m++) {
for (i=1; i<Nz; i++) {
for (j=1; j<Ny; j++) {
for (k=1; k<Nx; k++) {
coef[m][i][j][k] = 1.0 * (rand() % BASE);
}
}
}
}
#ifdef LIKWID_PERFMON
LIKWID_MARKER_INIT;
#pragma omp parallel
{
LIKWID_MARKER_THREADINIT;
#pragma omp barrier
LIKWID_MARKER_START("calc");
}
#endif
int num_threads = 1;
#if defined(_OPENMP)
num_threads = omp_get_max_threads();
#endif
for(test=0; test<TESTS; test++){
gettimeofday(&start, 0);
// serial execution - Addition: 6 && Multiplication: 2
/* Copyright (C) 1991-2014 Free Software Foundation, Inc.
This file is part of the GNU C Library.
The GNU C Library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2.1 of the License, or (at your option) any later version.
The GNU C Library is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with the GNU C Library; if not, see
<http://www.gnu.org/licenses/>. */
/* This header is separate from features.h so that the compiler can
include it implicitly at the start of every compilation. It must
not itself include <features.h> or any other header that includes
<features.h> because the implicit include comes before any feature
test macros that may be defined in a source file before it first
explicitly includes a system header. GCC knows the name of this
header in order to preinclude it. */
/* glibc's intent is to support the IEC 559 math functionality, real
and complex. If the GCC (4.9 and later) predefined macros
specifying compiler intent are available, use them to determine
whether the overall intent is to support these features; otherwise,
presume an older compiler has intent to support these features and
define these macros by default. */
/* wchar_t uses ISO/IEC 10646 (2nd ed., published 2011-03-15) /
Unicode 6.0. */
/* We do not support C11 <threads.h>. */
int t1, t2, t3, t4, t5, t6, t7, t8;
int lb, ub, lbp, ubp, lb2, ub2;
register int lbv, ubv;
/* Start of CLooG code */
if ((Nt >= 2) && (Nx >= 3) && (Ny >= 3) && (Nz >= 3)) {
for (t1=-1;t1<=floord(Nt-2,16);t1++) {
lbp=max(ceild(t1,2),ceild(32*t1-Nt+3,32));
ubp=min(floord(Nt+Nz-4,32),floord(16*t1+Nz+13,32));
#pragma omp parallel for private(lbv,ubv,t3,t4,t5,t6,t7,t8)
for (t2=lbp;t2<=ubp;t2++) {
for (t3=max(max(0,ceild(32*t2-Nz-4,8)),2*t1);t3<=min(min(min(floord(Nt+Ny-4,8),floord(16*t1+Ny+29,8)),floord(32*t2+Ny+28,8)),floord(32*t1-32*t2+Nz+Ny+27,8));t3++) {
for (t4=max(max(max(0,ceild(t1-31,32)),ceild(32*t2-Nz-508,512)),ceild(8*t3-Ny-508,512));t4<=min(min(min(min(floord(Nt+Nx-4,512),floord(16*t1+Nx+29,512)),floord(32*t2+Nx+28,512)),floord(8*t3+Nx+4,512)),floord(32*t1-32*t2+Nz+Nx+27,512));t4++) {
for (t5=max(max(max(max(max(0,16*t1),32*t1-32*t2+1),32*t2-Nz+2),8*t3-Ny+2),512*t4-Nx+2);t5<=min(min(min(min(min(Nt-2,16*t1+31),32*t2+30),8*t3+6),512*t4+510),32*t1-32*t2+Nz+29);t5++) {
for (t6=max(max(32*t2,t5+1),-32*t1+32*t2+2*t5-31);t6<=min(min(32*t2+31,-32*t1+32*t2+2*t5),t5+Nz-2);t6++) {
for (t7=max(8*t3,t5+1);t7<=min(8*t3+7,t5+Ny-2);t7++) {
lbv=max(512*t4,t5+1);
ubv=min(512*t4+511,t5+Nx-2);
#pragma ivdep
#pragma vector always
for (t8=lbv;t8<=ubv;t8++) {
A[( t5 + 1) % 2][ (-t5+t6)][ (-t5+t7)][ (-t5+t8)] = (((((((coef[0][ (-t5+t6)][ (-t5+t7)][ (-t5+t8)] * A[ t5 % 2][ (-t5+t6)][ (-t5+t7)][ (-t5+t8)]) + (coef[1][ (-t5+t6)][ (-t5+t7)][ (-t5+t8)] * A[ t5 % 2][ (-t5+t6) - 1][ (-t5+t7)][ (-t5+t8)])) + (coef[2][ (-t5+t6)][ (-t5+t7)][ (-t5+t8)] * A[ t5 % 2][ (-t5+t6)][ (-t5+t7) - 1][ (-t5+t8)])) + (coef[3][ (-t5+t6)][ (-t5+t7)][ (-t5+t8)] * A[ t5 % 2][ (-t5+t6)][ (-t5+t7)][ (-t5+t8) - 1])) + (coef[4][ (-t5+t6)][ (-t5+t7)][ (-t5+t8)] * A[ t5 % 2][ (-t5+t6) + 1][ (-t5+t7)][ (-t5+t8)])) + (coef[5][ (-t5+t6)][ (-t5+t7)][ (-t5+t8)] * A[ t5 % 2][ (-t5+t6)][ (-t5+t7) + 1][ (-t5+t8)])) + (coef[6][ (-t5+t6)][ (-t5+t7)][ (-t5+t8)] * A[ t5 % 2][ (-t5+t6)][ (-t5+t7)][ (-t5+t8) + 1]));;
}
}
}
}
}
}
}
}
}
/* End of CLooG code */
gettimeofday(&end, 0);
ts_return = timeval_subtract(&result, &end, &start);
tdiff = (double) (result.tv_sec + result.tv_usec * 1.0e-6);
min_tdiff = min(min_tdiff, tdiff);
printf("Rank 0 TEST# %d time: %f\n", test, tdiff);
}
PRINT_RESULTS(1, "variable no-symmetry")
#ifdef LIKWID_PERFMON
#pragma omp parallel
{
LIKWID_MARKER_STOP("calc");
}
LIKWID_MARKER_CLOSE;
#endif
// Free allocated arrays
for(i=0; i<Nz; i++){
for(j=0;j<Ny;j++){
free(A[0][i][j]);
free(A[1][i][j]);
}
free(A[0][i]);
free(A[1][i]);
}
free(A[0]);
free(A[1]);
for(m=0; m<7;m++){
for(i=0; i<Nz; i++){
for(j=0;j<Ny;j++){
free(coef[m][i][j]);
}
free(coef[m][i]);
}
free(coef[m]);
}
return 0;
}
|
DiracMatrix.h | //////////////////////////////////////////////////////////////////////////////////////
// This file is distributed under the University of Illinois/NCSA Open Source License.
// See LICENSE file in top directory for details.
//
// Copyright (c) 2019 QMCPACK developers.
//
// File developed by: Ye Luo, yeluo@anl.gov, Argonne National Laboratory
//
// File created by: Jeongnim Kim, jeongnim.kim@intel.com, Intel Corp.
//////////////////////////////////////////////////////////////////////////////////////
#ifndef QMCPLUSPLUS_DIRAC_MATRIX_H
#define QMCPLUSPLUS_DIRAC_MATRIX_H
#include "Numerics/Blasf.h"
#include <OhmmsPETE/OhmmsMatrix.h>
#include "Numerics/BlasThreadingEnv.h"
#include <type_traits/scalar_traits.h>
#include "simd/simd.hpp"
namespace qmcplusplus
{
inline void Xgetrf(int n, int m, float* restrict a, int lda, int* restrict piv)
{
int status;
sgetrf(n, m, a, lda, piv, status);
}
inline void Xgetri(int n, float* restrict a, int lda, int* restrict piv, float* restrict work, int& lwork)
{
int status;
sgetri(n, a, lda, piv, work, lwork, status);
}
inline void Xgetrf(int n, int m, std::complex<float>* restrict a, int lda, int* restrict piv)
{
int status;
cgetrf(n, m, a, lda, piv, status);
}
/** inversion of a float matrix after lu factorization*/
inline void Xgetri(int n,
std::complex<float>* restrict a,
int lda,
int* restrict piv,
std::complex<float>* restrict work,
int& lwork)
{
int status;
cgetri(n, a, lda, piv, work, lwork, status);
}
inline void Xgetrf(int n, int m, double* restrict a, int lda, int* restrict piv)
{
int status;
dgetrf(n, m, a, lda, piv, status);
}
inline void Xgetri(int n, double* restrict a, int lda, int* restrict piv, double* restrict work, int& lwork)
{
int status;
dgetri(n, a, lda, piv, work, lwork, status);
}
inline void Xgetrf(int n, int m, std::complex<double>* restrict a, int lda, int* restrict piv)
{
int status;
zgetrf(n, m, a, lda, piv, status);
}
/** inversion of a std::complex<double> matrix after lu factorization*/
inline void Xgetri(int n,
std::complex<double>* restrict a,
int lda,
int* restrict piv,
std::complex<double>* restrict work,
int& lwork)
{
int status;
zgetri(n, a, lda, piv, work, lwork, status);
}
template<typename TIN, typename TOUT>
inline void TansposeSquare(const TIN* restrict in, TOUT* restrict out, size_t n, size_t lda)
{
#pragma omp simd
for (size_t i = 0; i < n; ++i)
for (size_t j = 0; j < n; ++j)
out[i * lda + j] = in[i + j * lda];
}
template<typename T, typename T_FP>
inline void computeLogDet(const T* restrict diag, int n, const int* restrict pivot, std::complex<T_FP>& logdet)
{
logdet = std::complex<T_FP>();
for (size_t i = 0; i < n; i++)
logdet += std::log(std::complex<T_FP>((pivot[i] == i + 1) ? diag[i] : -diag[i]));
}
/** helper class to compute matrix inversion and the log value of determinant
* @tparam T_FP the datatype used in the actual computation of matrix inversion
*/
template<typename T_FP>
class DiracMatrix
{
typedef typename scalar_traits<T_FP>::real_type real_type_fp;
aligned_vector<T_FP> m_work;
aligned_vector<int> m_pivot;
int Lwork;
/// scratch space used for mixed precision
Matrix<T_FP> psiM_fp;
/// LU diagonal elements
aligned_vector<T_FP> LU_diag;
/// reset internal work space
inline void reset(T_FP* invMat_ptr, const int lda)
{
m_pivot.resize(lda);
Lwork = -1;
T_FP tmp;
real_type_fp lw;
Xgetri(lda, invMat_ptr, lda, m_pivot.data(), &tmp, Lwork);
convert(tmp, lw);
Lwork = static_cast<int>(lw);
m_work.resize(Lwork);
LU_diag.resize(lda);
}
/** compute the inverse of invMat (in place) and the log value of determinant
* @tparam TREAL real type
* @param n invMat is n x n matrix
* @param lda the first dimension of invMat
* @param LogDet log determinant value of invMat before inversion
*/
template<typename TREAL>
inline void computeInvertAndLog(T_FP* invMat, const int n, const int lda, std::complex<TREAL>& LogDet)
{
BlasThreadingEnv knob(getNextLevelNumThreads());
if (Lwork < lda)
reset(invMat, lda);
Xgetrf(n, n, invMat, lda, m_pivot.data());
for(int i=0; i<n; i++)
LU_diag[i] = invMat[i*lda+i];
computeLogDet(LU_diag.data(), n, m_pivot.data(), LogDet);
Xgetri(n, invMat, lda, m_pivot.data(), m_work.data(), Lwork);
}
public:
DiracMatrix() : Lwork(0) {}
/** compute the inverse of the transpose of matrix A and its determinant value in log
* when T_FP and TMAT are the same
* @tparam TMAT matrix value type
* @tparam TREAL real type
*/
template<typename TMAT, typename TREAL>
inline std::enable_if_t<std::is_same<T_FP, TMAT>::value>
invert_transpose(const Matrix<TMAT>& amat,
Matrix<TMAT>& invMat,
std::complex<TREAL>& LogDet)
{
const int n = invMat.rows();
const int lda = invMat.cols();
simd::transpose(amat.data(), n, amat.cols(), invMat.data(), n, lda);
computeInvertAndLog(invMat.data(), n, lda, LogDet);
}
/** compute the inverse of the transpose of matrix A and its determinant value in log
* when T_FP and TMAT are not the same and need scratch space psiM_fp
* @tparam TMAT matrix value type
* @tparam TREAL real type
*/
template<typename TMAT, typename TREAL>
inline std::enable_if_t<!std::is_same<T_FP, TMAT>::value>
invert_transpose(const Matrix<TMAT>& amat,
Matrix<TMAT>& invMat,
std::complex<TREAL>& LogDet)
{
const int n = invMat.rows();
const int lda = invMat.cols();
psiM_fp.resize(n,lda);
simd::transpose(amat.data(), n, amat.cols(), psiM_fp.data(), n, lda);
computeInvertAndLog(psiM_fp.data(), n, lda, LogDet);
invMat = psiM_fp;
}
};
} // namespace qmcplusplus
#endif // QMCPLUSPLUS_DIRAC_MATRIX_H
|
displacement_lagrangemultiplier_mixed_frictional_contact_criteria.h | // KRATOS ___| | | |
// \___ \ __| __| | | __| __| | | __| _` | |
// | | | | | ( | | | | ( | |
// _____/ \__|_| \__,_|\___|\__|\__,_|_| \__,_|_| MECHANICS
//
// License: BSD License
// license: StructuralMechanicsApplication/license.txt
//
// Main authors: Vicente Mataix Ferrandiz
//
#if !defined(KRATOS_DISPLACEMENT_LAGRANGE_MULTIPLIER_MIXED_FRICTIONAL_CONTACT_CRITERIA_H)
#define KRATOS_DISPLACEMENT_LAGRANGE_MULTIPLIER_MIXED_FRICTIONAL_CONTACT_CRITERIA_H
/* System includes */
/* External includes */
/* Project includes */
#include "utilities/table_stream_utility.h"
#include "utilities/color_utilities.h"
#include "solving_strategies/convergencecriterias/convergence_criteria.h"
#include "custom_utilities/active_set_utilities.h"
#include "custom_utilities/contact_utilities.h"
#include "utilities/constraint_utilities.h"
namespace Kratos
{
///@addtogroup ContactStructuralMechanicsApplication
///@{
///@name Kratos Globals
///@{
///@}
///@name Type Definitions
///@{
///@}
///@name Enum's
///@{
///@}
///@name Functions
///@{
///@name Kratos Classes
///@{
/**
* @class DisplacementLagrangeMultiplierMixedFrictionalContactCriteria
* @ingroup ContactStructuralMechanicsApplication
* @brief Convergence criteria for contact problems
* @details This class implements a convergence control based on nodal displacement and
* lagrange multiplier values. The error is evaluated separately for each of them, and
* relative and absolute tolerances for both must be specified.
* @author Vicente Mataix Ferrandiz
*/
template< class TSparseSpace,
class TDenseSpace >
class DisplacementLagrangeMultiplierMixedFrictionalContactCriteria
: public ConvergenceCriteria< TSparseSpace, TDenseSpace >
{
public:
///@name Type Definitions
///@{
/// Pointer definition of DisplacementLagrangeMultiplierMixedFrictionalContactCriteria
KRATOS_CLASS_POINTER_DEFINITION( DisplacementLagrangeMultiplierMixedFrictionalContactCriteria );
/// Local Flags
KRATOS_DEFINE_LOCAL_FLAG( ENSURE_CONTACT );
KRATOS_DEFINE_LOCAL_FLAG( PRINTING_OUTPUT );
KRATOS_DEFINE_LOCAL_FLAG( TABLE_IS_INITIALIZED );
KRATOS_DEFINE_LOCAL_FLAG( PURE_SLIP );
KRATOS_DEFINE_LOCAL_FLAG( INITIAL_RESIDUAL_IS_SET );
/// The base class definition (and it subclasses)
typedef ConvergenceCriteria< TSparseSpace, TDenseSpace > BaseType;
typedef typename BaseType::TDataType TDataType;
typedef typename BaseType::DofsArrayType DofsArrayType;
typedef typename BaseType::TSystemMatrixType TSystemMatrixType;
typedef typename BaseType::TSystemVectorType TSystemVectorType;
/// The sparse space used
typedef TSparseSpace SparseSpaceType;
/// The r_table stream definition TODO: Replace by logger
typedef TableStreamUtility::Pointer TablePrinterPointerType;
/// The index type definition
typedef std::size_t IndexType;
/// The key type definition
typedef std::size_t KeyType;
/// The epsilon tolerance definition
static constexpr double Tolerance = std::numeric_limits<double>::epsilon();
///@}
///@name Life Cycle
///@{
/**
* @brief Default constructor.
* @param DispRatioTolerance Relative tolerance for displacement residual error
* @param DispAbsTolerance Absolute tolerance for displacement residual error
* @param LMRatioTolerance Relative tolerance for lagrange multiplier residual error
* @param LMAbsTolerance Absolute tolerance for lagrange multiplier residual error
* @param NormalTangentRatio Ratio between the normal and tangent that will accepted as converged
* @param EnsureContact To check if the contact is lost
* @param pTable The pointer to the output r_table
* @param PrintingOutput If the output is going to be printed in a txt file
*/
explicit DisplacementLagrangeMultiplierMixedFrictionalContactCriteria(
const TDataType DispRatioTolerance,
const TDataType DispAbsTolerance,
const TDataType LMNormalRatioTolerance,
const TDataType LMNormalAbsTolerance,
const TDataType LMTangentStickRatioTolerance,
const TDataType LMTangentStickAbsTolerance,
const TDataType LMTangentSlipRatioTolerance,
const TDataType LMTangentSlipAbsTolerance,
const TDataType NormalTangentRatio,
const bool EnsureContact = false,
const bool PureSlip = false,
const bool PrintingOutput = false
)
: BaseType()
{
// Set local flags
mOptions.Set(DisplacementLagrangeMultiplierMixedFrictionalContactCriteria::ENSURE_CONTACT, EnsureContact);
mOptions.Set(DisplacementLagrangeMultiplierMixedFrictionalContactCriteria::PRINTING_OUTPUT, PrintingOutput);
mOptions.Set(DisplacementLagrangeMultiplierMixedFrictionalContactCriteria::TABLE_IS_INITIALIZED, false);
mOptions.Set(DisplacementLagrangeMultiplierMixedFrictionalContactCriteria::PURE_SLIP, PureSlip);
mOptions.Set(DisplacementLagrangeMultiplierMixedFrictionalContactCriteria::INITIAL_RESIDUAL_IS_SET, false);
// The displacement residual
mDispRatioTolerance = DispRatioTolerance;
mDispAbsTolerance = DispAbsTolerance;
// The normal contact residual
mLMNormalRatioTolerance = LMNormalRatioTolerance;
mLMNormalAbsTolerance = LMNormalAbsTolerance;
// The tangent contact residual
mLMTangentStickRatioTolerance = LMTangentStickRatioTolerance;
mLMTangentStickAbsTolerance = LMTangentStickAbsTolerance;
mLMTangentSlipRatioTolerance = LMTangentSlipRatioTolerance;
mLMTangentSlipAbsTolerance = LMTangentSlipAbsTolerance;
// We get the ratio between the normal and tangent that will accepted as converged
mNormalTangentRatio = NormalTangentRatio;
}
/**
* @brief Default constructor (parameters)
* @param ThisParameters The configuration parameters
*/
explicit DisplacementLagrangeMultiplierMixedFrictionalContactCriteria( Parameters ThisParameters = Parameters(R"({})"))
: BaseType()
{
// The default parameters
Parameters default_parameters = Parameters(R"(
{
"ensure_contact" : false,
"pure_slip" : false,
"print_convergence_criterion" : false,
"residual_relative_tolerance" : 1.0e-4,
"residual_absolute_tolerance" : 1.0e-9,
"contact_displacement_relative_tolerance" : 1.0e-4,
"contact_displacement_absolute_tolerance" : 1.0e-9,
"frictional_stick_contact_displacement_relative_tolerance" : 1.0e-4,
"frictional_stick_contact_residual_relative_tolerance" : 1.0e-9,
"frictional_slip_contact_displacement_relative_tolerance" : 1.0e-4,
"frictional_slip_contact_residual_relative_tolerance" : 1.0e-9,
"ratio_normal_tangent_threshold" : 1.0e-4
})" );
ThisParameters.ValidateAndAssignDefaults(default_parameters);
// The displacement residual
mDispRatioTolerance = ThisParameters["residual_relative_tolerance"].GetDouble();
mDispAbsTolerance = ThisParameters["residual_absolute_tolerance"].GetDouble();
// The normal contact solution
mLMNormalRatioTolerance = ThisParameters["contact_displacement_relative_tolerance"].GetDouble();
mLMNormalAbsTolerance = ThisParameters["contact_displacement_absolute_tolerance"].GetDouble();
// The tangent contact solution
mLMTangentStickRatioTolerance = ThisParameters["frictional_stick_contact_displacement_relative_tolerance"].GetDouble();
mLMTangentStickAbsTolerance = ThisParameters["frictional_stick_contact_residual_relative_tolerance"].GetDouble();
mLMTangentSlipRatioTolerance = ThisParameters["frictional_slip_contact_displacement_relative_tolerance"].GetDouble();
mLMTangentSlipAbsTolerance = ThisParameters["frictional_slip_contact_residual_relative_tolerance"].GetDouble();
// We get the ratio between the normal and tangent that will accepted as converged
mNormalTangentRatio = ThisParameters["ratio_normal_tangent_threshold"].GetDouble();
// Set local flags
mOptions.Set(DisplacementLagrangeMultiplierMixedFrictionalContactCriteria::ENSURE_CONTACT, ThisParameters["ensure_contact"].GetBool());
mOptions.Set(DisplacementLagrangeMultiplierMixedFrictionalContactCriteria::PRINTING_OUTPUT, ThisParameters["print_convergence_criterion"].GetBool());
mOptions.Set(DisplacementLagrangeMultiplierMixedFrictionalContactCriteria::TABLE_IS_INITIALIZED, false);
mOptions.Set(DisplacementLagrangeMultiplierMixedFrictionalContactCriteria::PURE_SLIP, ThisParameters["pure_slip"].GetBool());
mOptions.Set(DisplacementLagrangeMultiplierMixedFrictionalContactCriteria::INITIAL_RESIDUAL_IS_SET, false);
}
//* Copy constructor.
DisplacementLagrangeMultiplierMixedFrictionalContactCriteria( DisplacementLagrangeMultiplierMixedFrictionalContactCriteria const& rOther )
:BaseType(rOther)
,mOptions(rOther.mOptions)
,mDispRatioTolerance(rOther.mDispRatioTolerance)
,mDispAbsTolerance(rOther.mDispAbsTolerance)
,mDispInitialResidualNorm(rOther.mDispInitialResidualNorm)
,mDispCurrentResidualNorm(rOther.mDispCurrentResidualNorm)
,mLMNormalRatioTolerance(rOther.mLMNormalRatioTolerance)
,mLMNormalAbsTolerance(rOther.mLMNormalAbsTolerance)
,mLMTangentStickRatioTolerance(rOther.mLMTangentStickRatioTolerance)
,mLMTangentStickAbsTolerance(rOther.mLMTangentStickAbsTolerance)
,mLMTangentSlipRatioTolerance(rOther.mLMTangentSlipRatioTolerance)
,mLMTangentSlipAbsTolerance(rOther.mLMTangentSlipAbsTolerance)
,mNormalTangentRatio(rOther.mNormalTangentRatio)
{
}
/// Destructor.
~DisplacementLagrangeMultiplierMixedFrictionalContactCriteria() override = default;
///@}
///@name Operators
///@{
/**
* @brief Compute relative and absolute error.
* @param rModelPart Reference to the ModelPart containing the contact problem.
* @param rDofSet Reference to the container of the problem's degrees of freedom (stored by the BuilderAndSolver)
* @param rA System matrix (unused)
* @param rDx Vector of results (variations on nodal variables)
* @param rb RHS vector (residual)
* @return true if convergence is achieved, false otherwise
*/
bool PostCriteria(
ModelPart& rModelPart,
DofsArrayType& rDofSet,
const TSystemMatrixType& rA,
const TSystemVectorType& rDx,
const TSystemVectorType& rb
) override
{
if (SparseSpaceType::Size(rb) != 0) { //if we are solving for something
// Getting process info
ProcessInfo& r_process_info = rModelPart.GetProcessInfo();
// Initialize
TDataType disp_residual_solution_norm = 0.0, normal_lm_solution_norm = 0.0, normal_lm_increase_norm = 0.0, tangent_lm_stick_solution_norm = 0.0, tangent_lm_slip_solution_norm = 0.0, tangent_lm_stick_increase_norm = 0.0, tangent_lm_slip_increase_norm = 0.0;
IndexType disp_dof_num(0),lm_dof_num(0),lm_stick_dof_num(0),lm_slip_dof_num(0);
// The nodes array
auto& r_nodes_array = rModelPart.Nodes();
// First iterator
const auto it_dof_begin = rDofSet.begin();
// Auxiliar values
std::size_t dof_id = 0;
TDataType residual_dof_value = 0.0, dof_value = 0.0, dof_incr = 0.0;
// The number of active dofs
const std::size_t number_active_dofs = rb.size();
// Loop over Dofs
#pragma omp parallel for firstprivate(dof_id, residual_dof_value, dof_value, dof_incr) reduction(+:disp_residual_solution_norm,normal_lm_solution_norm,normal_lm_increase_norm,disp_dof_num,lm_dof_num, lm_stick_dof_num, lm_slip_dof_num)
for (int i = 0; i < static_cast<int>(rDofSet.size()); i++) {
auto it_dof = it_dof_begin + i;
dof_id = it_dof->EquationId();
// Check dof id is solved
if (dof_id < number_active_dofs) {
if (mActiveDofs[dof_id] == 1) {
const auto& r_curr_var = it_dof->GetVariable();
if (r_curr_var == VECTOR_LAGRANGE_MULTIPLIER_X) {
// The normal of the node (TODO: how to solve this without accesing all the time to the database?)
const auto it_node = r_nodes_array.find(it_dof->Id());
dof_value = it_dof->GetSolutionStepValue(0);
dof_incr = rDx[dof_id];
const double mu = it_node->GetValue(FRICTION_COEFFICIENT);
if (mu < std::numeric_limits<double>::epsilon()) {
normal_lm_solution_norm += std::pow(dof_value, 2);
normal_lm_increase_norm += std::pow(dof_incr, 2);
} else {
const double normal_x = it_node->FastGetSolutionStepValue(NORMAL_X);
const TDataType normal_dof_value = dof_value * normal_x;
const TDataType normal_dof_incr = dof_incr * normal_x;
normal_lm_solution_norm += std::pow(normal_dof_value, 2);
normal_lm_increase_norm += std::pow(normal_dof_incr, 2);
if (it_node->Is(SLIP) || mOptions.Is(DisplacementLagrangeMultiplierMixedFrictionalContactCriteria::PURE_SLIP)) {
tangent_lm_slip_solution_norm += std::pow(dof_value - normal_dof_value, 2);
tangent_lm_slip_increase_norm += std::pow(dof_incr - normal_dof_incr, 2);
++lm_slip_dof_num;
} else {
tangent_lm_stick_solution_norm += std::pow(dof_value - normal_dof_value, 2);
tangent_lm_stick_increase_norm += std::pow(dof_incr - normal_dof_incr, 2);
++lm_stick_dof_num;
}
}
++lm_dof_num;
} else if (r_curr_var == VECTOR_LAGRANGE_MULTIPLIER_Y) {
// The normal of the node (TODO: how to solve this without accesing all the time to the database?)
const auto it_node = r_nodes_array.find(it_dof->Id());
dof_value = it_dof->GetSolutionStepValue(0);
dof_incr = rDx[dof_id];
const double mu = it_node->GetValue(FRICTION_COEFFICIENT);
if (mu < std::numeric_limits<double>::epsilon()) {
normal_lm_solution_norm += std::pow(dof_value, 2);
normal_lm_increase_norm += std::pow(dof_incr, 2);
} else {
const double normal_y = it_node->FastGetSolutionStepValue(NORMAL_Y);
const TDataType normal_dof_value = dof_value * normal_y;
const TDataType normal_dof_incr = dof_incr * normal_y;
normal_lm_solution_norm += std::pow(normal_dof_value, 2);
normal_lm_increase_norm += std::pow(normal_dof_incr, 2);
if (it_node->Is(SLIP) || mOptions.Is(DisplacementLagrangeMultiplierMixedFrictionalContactCriteria::PURE_SLIP)) {
tangent_lm_slip_solution_norm += std::pow(dof_value - normal_dof_value, 2);
tangent_lm_slip_increase_norm += std::pow(dof_incr - normal_dof_incr, 2);
++lm_slip_dof_num;
} else {
tangent_lm_stick_solution_norm += std::pow(dof_value - normal_dof_value, 2);
tangent_lm_stick_increase_norm += std::pow(dof_incr - normal_dof_incr, 2);
++lm_stick_dof_num;
}
}
++lm_dof_num;
} else if (r_curr_var == VECTOR_LAGRANGE_MULTIPLIER_Z) {
// The normal of the node (TODO: how to solve this without accesing all the time to the database?)
const auto it_node = r_nodes_array.find(it_dof->Id());
dof_value = it_dof->GetSolutionStepValue(0);
dof_incr = rDx[dof_id];
const double mu = it_node->GetValue(FRICTION_COEFFICIENT);
if (mu < std::numeric_limits<double>::epsilon()) {
normal_lm_solution_norm += std::pow(dof_value, 2);
normal_lm_increase_norm += std::pow(dof_incr, 2);
} else {
const double normal_z = it_node->FastGetSolutionStepValue(NORMAL_Z);
const TDataType normal_dof_value = dof_value * normal_z;
const TDataType normal_dof_incr = dof_incr * normal_z;
normal_lm_solution_norm += std::pow(normal_dof_value, 2);
normal_lm_increase_norm += std::pow(normal_dof_incr, 2);
if (it_node->Is(SLIP) || mOptions.Is(DisplacementLagrangeMultiplierMixedFrictionalContactCriteria::PURE_SLIP)) {
tangent_lm_slip_solution_norm += std::pow(dof_value - normal_dof_value, 2);
tangent_lm_slip_increase_norm += std::pow(dof_incr - normal_dof_incr, 2);
++lm_slip_dof_num;
} else {
tangent_lm_stick_solution_norm += std::pow(dof_value - normal_dof_value, 2);
tangent_lm_stick_increase_norm += std::pow(dof_incr - normal_dof_incr, 2);
++lm_stick_dof_num;
}
}
++lm_dof_num;
} else { // We will assume is displacement dof
residual_dof_value = rb[dof_id];
disp_residual_solution_norm += residual_dof_value * residual_dof_value;
++disp_dof_num;
}
}
}
}
if(normal_lm_increase_norm < Tolerance) normal_lm_increase_norm = 1.0;
if(tangent_lm_stick_increase_norm < Tolerance) tangent_lm_stick_increase_norm = 1.0;
if(tangent_lm_slip_increase_norm < Tolerance) tangent_lm_slip_increase_norm = 1.0;
KRATOS_ERROR_IF(mOptions.Is(DisplacementLagrangeMultiplierMixedFrictionalContactCriteria::ENSURE_CONTACT) && normal_lm_solution_norm < Tolerance) << "ERROR::CONTACT LOST::ARE YOU SURE YOU ARE SUPPOSED TO HAVE CONTACT?" << std::endl;
mDispCurrentResidualNorm = disp_residual_solution_norm;
const TDataType normal_lm_ratio = std::sqrt(normal_lm_increase_norm/normal_lm_solution_norm);
const TDataType tangent_lm_slip_ratio = tangent_lm_slip_solution_norm > Tolerance ? std::sqrt(tangent_lm_slip_increase_norm/tangent_lm_slip_solution_norm) : 0.0;
const TDataType tangent_lm_stick_ratio = tangent_lm_stick_solution_norm > Tolerance ? std::sqrt(tangent_lm_stick_increase_norm/tangent_lm_stick_solution_norm) : 0.0;
const TDataType normal_lm_abs = std::sqrt(normal_lm_increase_norm)/static_cast<TDataType>(lm_dof_num);
const TDataType tangent_lm_stick_abs = lm_stick_dof_num > 0 ? std::sqrt(tangent_lm_stick_increase_norm)/ static_cast<TDataType>(lm_stick_dof_num) : 0.0;
const TDataType tangent_lm_slip_abs = lm_slip_dof_num > 0 ? std::sqrt(tangent_lm_slip_increase_norm)/ static_cast<TDataType>(lm_slip_dof_num) : 0.0;
const TDataType normal_tangent_stick_ratio = tangent_lm_stick_abs/normal_lm_abs;
const TDataType normal_tangent_slip_ratio = tangent_lm_slip_abs/normal_lm_abs;
TDataType residual_disp_ratio;
// We initialize the solution
if (mOptions.IsNot(DisplacementLagrangeMultiplierMixedFrictionalContactCriteria::INITIAL_RESIDUAL_IS_SET)) {
mDispInitialResidualNorm = (disp_residual_solution_norm < Tolerance) ? 1.0 : disp_residual_solution_norm;
residual_disp_ratio = 1.0;
mOptions.Set(DisplacementLagrangeMultiplierMixedFrictionalContactCriteria::INITIAL_RESIDUAL_IS_SET, true);
}
// We calculate the ratio of the displacements
residual_disp_ratio = mDispCurrentResidualNorm/mDispInitialResidualNorm;
// We calculate the absolute norms
TDataType residual_disp_abs = mDispCurrentResidualNorm/disp_dof_num;
// We print the results // TODO: Replace for the new log
if (rModelPart.GetCommunicator().MyPID() == 0 && this->GetEchoLevel() > 0) {
if (r_process_info.Has(TABLE_UTILITY)) {
std::cout.precision(4);
TablePrinterPointerType p_table = r_process_info[TABLE_UTILITY];
auto& r_table = p_table->GetTable();
if (mOptions.IsNot(DisplacementLagrangeMultiplierMixedFrictionalContactCriteria::PURE_SLIP)) {
r_table << residual_disp_ratio << mDispRatioTolerance << residual_disp_abs << mDispAbsTolerance << normal_lm_ratio << mLMNormalRatioTolerance << normal_lm_abs << mLMNormalAbsTolerance << tangent_lm_stick_ratio << mLMTangentStickRatioTolerance << tangent_lm_stick_abs << mLMTangentSlipAbsTolerance << tangent_lm_slip_ratio << mLMTangentSlipRatioTolerance << tangent_lm_slip_abs << mLMTangentStickAbsTolerance;
} else {
r_table << residual_disp_ratio << mDispRatioTolerance << residual_disp_abs << mDispAbsTolerance << normal_lm_ratio << mLMNormalRatioTolerance << normal_lm_abs << mLMNormalAbsTolerance << tangent_lm_slip_ratio << mLMTangentSlipRatioTolerance << tangent_lm_slip_abs << mLMTangentSlipAbsTolerance;
}
} else {
std::cout.precision(4);
if (mOptions.IsNot(DisplacementLagrangeMultiplierMixedFrictionalContactCriteria::PRINTING_OUTPUT)) {
KRATOS_INFO("DisplacementLagrangeMultiplierMixedFrictionalContactCriteria") << BOLDFONT("MIXED CONVERGENCE CHECK") << "\tSTEP: " << r_process_info[STEP] << "\tNL ITERATION: " << r_process_info[NL_ITERATION_NUMBER] << std::endl << std::scientific;
KRATOS_INFO("DisplacementLagrangeMultiplierMixedFrictionalContactCriteria") << BOLDFONT("\tDISPLACEMENT: RATIO = ") << residual_disp_ratio << BOLDFONT(" EXP.RATIO = ") << mDispRatioTolerance << BOLDFONT(" ABS = ") << residual_disp_abs << BOLDFONT(" EXP.ABS = ") << mDispAbsTolerance << std::endl;
KRATOS_INFO("DisplacementLagrangeMultiplierMixedFrictionalContactCriteria") << BOLDFONT("\tNORMAL LAGRANGE MUL: RATIO = ") << normal_lm_ratio << BOLDFONT(" EXP.RATIO = ") << mLMNormalRatioTolerance << BOLDFONT(" ABS = ") << normal_lm_abs << BOLDFONT(" EXP.ABS = ") << mLMNormalAbsTolerance << std::endl;
KRATOS_INFO_IF("DisplacementLagrangeMultiplierMixedFrictionalContactCriteria", mOptions.IsNot(DisplacementLagrangeMultiplierMixedFrictionalContactCriteria::PURE_SLIP)) << BOLDFONT(" STICK LAGRANGE MUL:\tRATIO = ") << tangent_lm_stick_ratio << BOLDFONT(" EXP.RATIO = ") << mLMTangentStickRatioTolerance << BOLDFONT(" ABS = ") << tangent_lm_stick_abs << BOLDFONT(" EXP.ABS = ") << mLMTangentStickAbsTolerance << std::endl;
KRATOS_INFO("DisplacementLagrangeMultiplierMixedFrictionalContactCriteria") << BOLDFONT(" SLIP LAGRANGE MUL:\tRATIO = ") << tangent_lm_slip_ratio << BOLDFONT(" EXP.RATIO = ") << mLMTangentSlipRatioTolerance << BOLDFONT(" ABS = ") << tangent_lm_slip_abs << BOLDFONT(" EXP.ABS = ") << mLMTangentSlipAbsTolerance << std::endl;
} else {
KRATOS_INFO("DisplacementLagrangeMultiplierMixedFrictionalContactCriteria") << "MIXED CONVERGENCE CHECK" << "\tSTEP: " << r_process_info[STEP] << "\tNL ITERATION: " << r_process_info[NL_ITERATION_NUMBER] << std::endl << std::scientific;
KRATOS_INFO("DisplacementLagrangeMultiplierMixedFrictionalContactCriteria") << "\tDISPLACEMENT: RATIO = " << residual_disp_ratio << " EXP.RATIO = " << mDispRatioTolerance << " ABS = " << residual_disp_abs << " EXP.ABS = " << mDispAbsTolerance << std::endl;
KRATOS_INFO("DisplacementLagrangeMultiplierMixedFrictionalContactCriteria") << "\tNORMAL LAGRANGE MUL: RATIO = " << normal_lm_ratio << " EXP.RATIO = " << mLMNormalRatioTolerance << " ABS = " << normal_lm_abs << " EXP.ABS = " << mLMNormalAbsTolerance << std::endl;
KRATOS_INFO_IF("DisplacementLagrangeMultiplierMixedFrictionalContactCriteria", mOptions.IsNot(DisplacementLagrangeMultiplierMixedFrictionalContactCriteria::PURE_SLIP)) << " STICK LAGRANGE MUL:\tRATIO = " << tangent_lm_stick_ratio << " EXP.RATIO = " << mLMTangentStickRatioTolerance << " ABS = " << tangent_lm_stick_abs << " EXP.ABS = " << mLMTangentStickAbsTolerance << std::endl;
KRATOS_INFO("DisplacementLagrangeMultiplierMixedFrictionalContactCriteria") << " SLIP LAGRANGE MUL:\tRATIO = " << tangent_lm_slip_ratio << " EXP.RATIO = " << mLMTangentSlipRatioTolerance << " ABS = " << tangent_lm_slip_abs << " EXP.ABS = " << mLMTangentSlipAbsTolerance << std::endl;
}
}
}
// NOTE: Here we don't include the tangent counter part
r_process_info[CONVERGENCE_RATIO] = (residual_disp_ratio > normal_lm_ratio) ? residual_disp_ratio : normal_lm_ratio;
r_process_info[RESIDUAL_NORM] = (normal_lm_abs > mLMNormalAbsTolerance) ? normal_lm_abs : mLMNormalAbsTolerance;
// We check if converged
const bool disp_converged = (residual_disp_ratio <= mDispRatioTolerance || residual_disp_abs <= mDispAbsTolerance);
const bool lm_converged = (mOptions.IsNot(DisplacementLagrangeMultiplierMixedFrictionalContactCriteria::ENSURE_CONTACT) && normal_lm_solution_norm < Tolerance) ? true : (normal_lm_ratio <= mLMNormalRatioTolerance || normal_lm_abs <= mLMNormalAbsTolerance) && (tangent_lm_stick_ratio <= mLMTangentStickRatioTolerance || tangent_lm_stick_abs <= mLMTangentStickAbsTolerance || normal_tangent_stick_ratio <= mNormalTangentRatio) && (tangent_lm_slip_ratio <= mLMTangentSlipRatioTolerance || tangent_lm_slip_abs <= mLMTangentSlipAbsTolerance || normal_tangent_slip_ratio <= mNormalTangentRatio);
if ( disp_converged && lm_converged ) {
if (rModelPart.GetCommunicator().MyPID() == 0 && this->GetEchoLevel() > 0) {
if (r_process_info.Has(TABLE_UTILITY)) {
TablePrinterPointerType p_table = r_process_info[TABLE_UTILITY];
auto& r_table = p_table->GetTable();
if (mOptions.IsNot(DisplacementLagrangeMultiplierMixedFrictionalContactCriteria::PRINTING_OUTPUT))
r_table << BOLDFONT(FGRN(" Achieved"));
else
r_table << "Achieved";
} else {
if (mOptions.IsNot(DisplacementLagrangeMultiplierMixedFrictionalContactCriteria::PRINTING_OUTPUT))
KRATOS_INFO("DisplacementLagrangeMultiplierMixedFrictionalContactCriteria") << BOLDFONT("\tConvergence") << " is " << BOLDFONT(FGRN("achieved")) << std::endl;
else
KRATOS_INFO("DisplacementLagrangeMultiplierMixedFrictionalContactCriteria") << "\tConvergence is achieved" << std::endl;
}
}
return true;
} else {
if (rModelPart.GetCommunicator().MyPID() == 0 && this->GetEchoLevel() > 0) {
if (r_process_info.Has(TABLE_UTILITY)) {
TablePrinterPointerType p_table = r_process_info[TABLE_UTILITY];
auto& r_table = p_table->GetTable();
if (mOptions.IsNot(DisplacementLagrangeMultiplierMixedFrictionalContactCriteria::PRINTING_OUTPUT))
r_table << BOLDFONT(FRED(" Not achieved"));
else
r_table << "Not achieved";
} else {
if (mOptions.IsNot(DisplacementLagrangeMultiplierMixedFrictionalContactCriteria::PRINTING_OUTPUT))
KRATOS_INFO("DisplacementLagrangeMultiplierMixedFrictionalContactCriteria") << BOLDFONT("\tConvergence") << " is " << BOLDFONT(FRED(" not achieved")) << std::endl;
else
KRATOS_INFO("DisplacementLagrangeMultiplierMixedFrictionalContactCriteria") << "\tConvergence is not achieved" << std::endl;
}
}
return false;
}
} else // In this case all the displacements are imposed!
return true;
}
/**
* @brief This function initialize the convergence criteria
* @param rModelPart Reference to the ModelPart containing the contact problem. (unused)
*/
void Initialize( ModelPart& rModelPart) override
{
BaseType::mConvergenceCriteriaIsInitialized = true;
ProcessInfo& r_process_info = rModelPart.GetProcessInfo();
if (r_process_info.Has(TABLE_UTILITY) && mOptions.IsNot(DisplacementLagrangeMultiplierMixedFrictionalContactCriteria::TABLE_IS_INITIALIZED)) {
TablePrinterPointerType p_table = r_process_info[TABLE_UTILITY];
auto& r_table = p_table->GetTable();
r_table.AddColumn("DP RATIO", 10);
r_table.AddColumn("EXP. RAT", 10);
r_table.AddColumn("ABS", 10);
r_table.AddColumn("EXP. ABS", 10);
r_table.AddColumn("N.LM RATIO", 10);
r_table.AddColumn("EXP. RAT", 10);
r_table.AddColumn("ABS", 10);
r_table.AddColumn("EXP. ABS", 10);
if (mOptions.IsNot(DisplacementLagrangeMultiplierMixedFrictionalContactCriteria::PURE_SLIP)) {
r_table.AddColumn("STI. RATIO", 10);
r_table.AddColumn("EXP. RAT", 10);
r_table.AddColumn("ABS", 10);
r_table.AddColumn("EXP. ABS", 10);
}
r_table.AddColumn("SLIP RATIO", 10);
r_table.AddColumn("EXP. RAT", 10);
r_table.AddColumn("ABS", 10);
r_table.AddColumn("EXP. ABS", 10);
r_table.AddColumn("CONVERGENCE", 15);
mOptions.Set(DisplacementLagrangeMultiplierMixedFrictionalContactCriteria::TABLE_IS_INITIALIZED, true);
}
}
/**
* @brief This function initializes the solution step
* @param rModelPart Reference to the ModelPart containing the contact problem.
* @param rDofSet Reference to the container of the problem's degrees of freedom (stored by the BuilderAndSolver)
* @param rA System matrix (unused)
* @param rDx Vector of results (variations on nodal variables)
* @param rb RHS vector (residual)
*/
void InitializeSolutionStep(
ModelPart& rModelPart,
DofsArrayType& rDofSet,
const TSystemMatrixType& rA,
const TSystemVectorType& rDx,
const TSystemVectorType& rb
) override
{
// Initialize flags
mOptions.Set(DisplacementLagrangeMultiplierMixedFrictionalContactCriteria::INITIAL_RESIDUAL_IS_SET, false);
// Filling mActiveDofs when MPC exist
ConstraintUtilities::ComputeActiveDofs(rModelPart, mActiveDofs, rDofSet);
}
/**
* @brief This function finalizes the non-linear iteration
* @param rModelPart Reference to the ModelPart containing the problem.
* @param rDofSet Reference to the container of the problem's degrees of freedom (stored by the BuilderAndSolver)
* @param rA System matrix (unused)
* @param rDx Vector of results (variations on nodal variables)
* @param rb RHS vector (residual + reactions)
*/
void FinalizeNonLinearIteration(
ModelPart& rModelPart,
DofsArrayType& rDofSet,
const TSystemMatrixType& rA,
const TSystemVectorType& rDx,
const TSystemVectorType& rb
) override
{
// Calling base criteria
BaseType::FinalizeNonLinearIteration(rModelPart, rDofSet, rA, rDx, rb);
// The current process info
ProcessInfo& r_process_info = rModelPart.GetProcessInfo();
r_process_info.SetValue(ACTIVE_SET_COMPUTED, false);
}
///@}
///@name Operations
///@{
///@}
///@name Acces
///@{
///@}
///@name Inquiry
///@{
///@}
///@name Friends
///@{
protected:
///@name Protected static Member Variables
///@{
///@}
///@name Protected member Variables
///@{
///@}
///@name Protected Operators
///@{
///@}
///@name Protected Operations
///@{
///@}
///@name Protected Access
///@{
///@}
///@name Protected Inquiry
///@{
///@}
///@name Protected LifeCycle
///@{
///@}
private:
///@name Static Member Variables
///@{
///@}
///@name Member Variables
///@{
Flags mOptions; /// Local flags
TDataType mDispRatioTolerance; /// The ratio threshold for the norm of the displacement residual
TDataType mDispAbsTolerance; /// The absolute value threshold for the norm of the displacement residual
TDataType mDispInitialResidualNorm; /// The reference norm of the displacement residual
TDataType mDispCurrentResidualNorm; /// The current norm of the displacement residual
TDataType mLMNormalRatioTolerance; /// The ratio threshold for the norm of the LM (normal)
TDataType mLMNormalAbsTolerance; /// The absolute value threshold for the norm of the LM (normal)
TDataType mLMTangentStickRatioTolerance; /// The ratio threshold for the norm of the LM (tangent-stick)
TDataType mLMTangentStickAbsTolerance; /// The absolute value threshold for the norm of the LM (tangent-stick)
TDataType mLMTangentSlipRatioTolerance; /// The ratio threshold for the norm of the LM (tangent-slip)
TDataType mLMTangentSlipAbsTolerance; /// The absolute value threshold for the norm of the LM (tangent-slip)
TDataType mNormalTangentRatio; /// The ratio to accept a non converged tangent component in case
std::vector<int> mActiveDofs; /// This vector contains the dofs that are active
///@}
///@name Private Operators
///@{
///@}
///@name Private Operations
///@{
///@}
///@name Private Access
///@{
///@}
///@}
///@name Serialization
///@{
///@name Private Inquiry
///@{
///@}
///@name Unaccessible methods
///@{
///@}
}; // Kratos DisplacementLagrangeMultiplierMixedFrictionalContactCriteria
///@name Local flags creation
///@{
/// Local Flags
template<class TSparseSpace, class TDenseSpace>
const Kratos::Flags DisplacementLagrangeMultiplierMixedFrictionalContactCriteria<TSparseSpace, TDenseSpace>::ENSURE_CONTACT(Kratos::Flags::Create(0));
template<class TSparseSpace, class TDenseSpace>
const Kratos::Flags DisplacementLagrangeMultiplierMixedFrictionalContactCriteria<TSparseSpace, TDenseSpace>::PRINTING_OUTPUT(Kratos::Flags::Create(1));
template<class TSparseSpace, class TDenseSpace>
const Kratos::Flags DisplacementLagrangeMultiplierMixedFrictionalContactCriteria<TSparseSpace, TDenseSpace>::TABLE_IS_INITIALIZED(Kratos::Flags::Create(2));
template<class TSparseSpace, class TDenseSpace>
const Kratos::Flags DisplacementLagrangeMultiplierMixedFrictionalContactCriteria<TSparseSpace, TDenseSpace>::PURE_SLIP(Kratos::Flags::Create(3));
template<class TSparseSpace, class TDenseSpace>
const Kratos::Flags DisplacementLagrangeMultiplierMixedFrictionalContactCriteria<TSparseSpace, TDenseSpace>::INITIAL_RESIDUAL_IS_SET(Kratos::Flags::Create(4));
}
#endif /* KRATOS_DISPLACEMENT_LAGRANGE_MULTIPLIER_MIXED_FRICTIONAL_CONTACT_CRITERIA_H */
|
Main.c | #include "XSbench_header.h"
#ifdef MPI
#include<mpi.h>
#endif
int main( int argc, char* argv[] )
{
// =====================================================================
// Initialization & Command Line Read-In
// =====================================================================
int version = 14;
int mype = 0;
int max_procs = omp_get_num_procs();
int i, thread, mat;
unsigned long seed;
double omp_start, omp_end, p_energy;
unsigned long long vhash = 0;
int nprocs;
#ifdef MPI
MPI_Status stat;
MPI_Init(&argc, &argv);
MPI_Comm_size(MPI_COMM_WORLD, &nprocs);
MPI_Comm_rank(MPI_COMM_WORLD, &mype);
#endif
// rand() is only used in the serial initialization stages.
// A custom RNG is used in parallel portions.
#ifdef VERIFICATION
srand(26);
#else
srand(time(NULL));
#endif
// Process CLI Fields -- store in "Inputs" structure
Inputs in = read_CLI( argc, argv );
// Set number of OpenMP Threads
omp_set_num_threads(in.nthreads);
// Print-out of Input Summary
if( mype == 0 )
print_inputs( in, nprocs, version );
// =====================================================================
// Prepare Nuclide Energy Grids, Unionized Energy Grid, & Material Data
// =====================================================================
// Allocate & fill energy grids
#ifndef BINARY_READ
if( mype == 0) printf("Generating Nuclide Energy Grids...\n");
#endif
NuclideGridPoint ** nuclide_grids = gpmatrix(in.n_isotopes,in.n_gridpoints);
#ifdef VERIFICATION
generate_grids_v( nuclide_grids, in.n_isotopes, in.n_gridpoints );
#else
generate_grids( nuclide_grids, in.n_isotopes, in.n_gridpoints );
#endif
// Sort grids by energy
#ifndef BINARY_READ
if( mype == 0) printf("Sorting Nuclide Energy Grids...\n");
sort_nuclide_grids( nuclide_grids, in.n_isotopes, in.n_gridpoints );
#endif
// If using a unionized grid search, initialize the energy grid
// Otherwise, leave these as null
GridPoint * energy_grid = NULL;
int * index_data = NULL;
if( in.grid_type == UNIONIZED )
{
// Prepare Unionized Energy Grid Framework
#ifndef BINARY_READ
energy_grid = generate_energy_grid( in.n_isotopes,
in.n_gridpoints, nuclide_grids );
#else
energy_grid = (GridPoint *)malloc( in.n_isotopes *
in.n_gridpoints * sizeof( GridPoint ) );
index_data = (int *) malloc( in.n_isotopes * in.n_gridpoints
* in.n_isotopes * sizeof(int));
for( i = 0; i < in.n_isotopes*in.n_gridpoints; i++ )
energy_grid[i].xs_ptrs = &index_data[i*in.n_isotopes];
#endif
// Double Indexing. Filling in energy_grid with pointers to the
// nuclide_energy_grids.
#ifndef BINARY_READ
set_grid_ptrs( energy_grid, nuclide_grids, in.n_isotopes, in.n_gridpoints );
#endif
}
#ifdef BINARY_READ
if( mype == 0 ) printf("Reading data from \"XS_data.dat\" file...\n");
binary_read(in.n_isotopes, in.n_gridpoints, nuclide_grids, energy_grid, in.grid_type);
#endif
// Get material data
if( mype == 0 )
printf("Loading Mats...\n");
int *num_nucs = load_num_nucs(in.n_isotopes);
int **mats = load_mats(num_nucs, in.n_isotopes);
#ifdef VERIFICATION
double **concs = load_concs_v(num_nucs);
#else
double **concs = load_concs(num_nucs);
#endif
#ifdef BINARY_DUMP
if( mype == 0 ) printf("Dumping data to binary file...\n");
binary_dump(in.n_isotopes, in.n_gridpoints, nuclide_grids, energy_grid, in.grid_type);
if( mype == 0 ) printf("Binary file \"XS_data.dat\" written! Exiting...\n");
return 0;
#endif
// =====================================================================
// Cross Section (XS) Parallel Lookup Simulation Begins
// =====================================================================
// Outer benchmark loop can loop through all possible # of threads
#ifdef BENCHMARK
for( int bench_n = 1; bench_n <=omp_get_num_procs(); bench_n++ )
{
in.nthreads = bench_n;
omp_set_num_threads(in.nthreads);
#endif
if( mype == 0 )
{
printf("\n");
border_print();
center_print("SIMULATION", 79);
border_print();
}
omp_start = omp_get_wtime();
//initialize papi with one thread (master) here
#ifdef PAPI
if ( PAPI_library_init(PAPI_VER_CURRENT) != PAPI_VER_CURRENT){
fprintf(stderr, "PAPI library init error!\n");
exit(1);
}
#endif
// OpenMP compiler directives - declaring variables as shared or private
#pragma omp parallel default(none) \
private(i, thread, p_energy, mat, seed) \
shared( max_procs, in, energy_grid, nuclide_grids, \
mats, concs, num_nucs, mype, vhash)
{
// Initialize parallel PAPI counters
#ifdef PAPI
int eventset = PAPI_NULL;
int num_papi_events;
#pragma omp critical
{
counter_init(&eventset, &num_papi_events);
}
#endif
double macro_xs_vector[5];
double * xs = (double *) calloc(5, sizeof(double));
// Initialize RNG seeds for threads
thread = omp_get_thread_num();
seed = (thread+1)*19+17;
// XS Lookup Loop
#pragma omp for schedule(dynamic)
for( i = 0; i < in.lookups; i++ )
{
// Status text
if( INFO && mype == 0 && thread == 0 && i % 1000 == 0 )
printf("\rCalculating XS's... (%.0lf%% completed)",
(i / ( (double)in.lookups / (double) in.nthreads ))
/ (double) in.nthreads * 100.0);
// Randomly pick an energy and material for the particle
#ifdef VERIFICATION
#pragma omp critical
{
p_energy = rn_v();
mat = pick_mat(&seed);
}
#else
p_energy = rn(&seed);
mat = pick_mat(&seed);
#endif
// debugging
//printf("E = %lf mat = %d\n", p_energy, mat);
// This returns the macro_xs_vector, but we're not going
// to do anything with it in this program, so return value
// is written over.
calculate_macro_xs( p_energy, mat, in.n_isotopes,
in.n_gridpoints, num_nucs, concs,
energy_grid, nuclide_grids, mats,
macro_xs_vector, in.grid_type );
// Copy results from above function call onto heap
// so that compiler cannot optimize function out
// (only occurs if -flto flag is used)
memcpy(xs, macro_xs_vector, 5*sizeof(double));
// Verification hash calculation
// This method provides a consistent hash accross
// architectures and compilers.
#ifdef VERIFICATION
char line[256];
sprintf(line, "%.5lf %d %.5lf %.5lf %.5lf %.5lf %.5lf",
p_energy, mat,
macro_xs_vector[0],
macro_xs_vector[1],
macro_xs_vector[2],
macro_xs_vector[3],
macro_xs_vector[4]);
unsigned long long vhash_local = hash(line, 10000);
#pragma omp atomic
vhash += vhash_local;
#endif
}
// Prints out thread local PAPI counters
#ifdef PAPI
if( mype == 0 && thread == 0 )
{
printf("\n");
border_print();
center_print("PAPI COUNTER RESULTS", 79);
border_print();
printf("Count \tSmybol \tDescription\n");
}
{
#pragma omp barrier
}
counter_stop(&eventset, num_papi_events);
#endif
}
#ifndef PAPI
if( mype == 0)
{
printf("\n" );
printf("Simulation complete.\n" );
}
#endif
omp_end = omp_get_wtime();
// Print / Save Results and Exit
print_results( in, mype, omp_end-omp_start, nprocs, vhash );
#ifdef BENCHMARK
}
#endif
#ifdef MPI
MPI_Finalize();
#endif
return 0;
}
|
coordinate_common.h | /*!
* Copyright 2018 by Contributors
* \author Rory Mitchell
*/
#pragma once
#include <algorithm>
#include <string>
#include <utility>
#include <vector>
#include <limits>
#include "./param.h"
#include "../common/random.h"
namespace xgboost {
namespace linear {
struct CoordinateParam : public dmlc::Parameter<CoordinateParam> {
int top_k;
DMLC_DECLARE_PARAMETER(CoordinateParam) {
DMLC_DECLARE_FIELD(top_k)
.set_lower_bound(0)
.set_default(0)
.describe("The number of top features to select in 'thrifty' feature_selector. "
"The value of zero means using all the features.");
}
};
/**
* \brief Calculate change in weight for a given feature. Applies l1/l2 penalty normalised by the
* number of training instances.
*
* \param sum_grad The sum gradient.
* \param sum_hess The sum hess.
* \param w The weight.
* \param reg_alpha Unnormalised L1 penalty.
* \param reg_lambda Unnormalised L2 penalty.
*
* \return The weight update.
*/
inline double CoordinateDelta(double sum_grad, double sum_hess, double w,
double reg_alpha, double reg_lambda) {
if (sum_hess < 1e-5f) return 0.0f;
const double sum_grad_l2 = sum_grad + reg_lambda * w;
const double sum_hess_l2 = sum_hess + reg_lambda;
const double tmp = w - sum_grad_l2 / sum_hess_l2;
if (tmp >= 0) {
return std::max(-(sum_grad_l2 + reg_alpha) / sum_hess_l2, -w);
} else {
return std::min(-(sum_grad_l2 - reg_alpha) / sum_hess_l2, -w);
}
}
/**
* \brief Calculate update to bias.
*
* \param sum_grad The sum gradient.
* \param sum_hess The sum hess.
*
* \return The weight update.
*/
inline double CoordinateDeltaBias(double sum_grad, double sum_hess) {
return -sum_grad / sum_hess;
}
/**
* \brief Get the gradient with respect to a single feature.
*
* \param group_idx Zero-based index of the group.
* \param num_group Number of groups.
* \param fidx The target feature.
* \param gpair Gradients.
* \param p_fmat The feature matrix.
*
* \return The gradient and diagonal Hessian entry for a given feature.
*/
inline std::pair<double, double> GetGradient(int group_idx, int num_group, int fidx,
const std::vector<GradientPair> &gpair,
DMatrix *p_fmat) {
double sum_grad = 0.0, sum_hess = 0.0;
for (const auto &batch : p_fmat->GetColumnBatches()) {
auto col = batch[fidx];
const auto ndata = static_cast<bst_omp_uint>(col.size());
for (bst_omp_uint j = 0; j < ndata; ++j) {
const bst_float v = col[j].fvalue;
auto &p = gpair[col[j].index * num_group + group_idx];
if (p.GetHess() < 0.0f) continue;
sum_grad += p.GetGrad() * v;
sum_hess += p.GetHess() * v * v;
}
}
return std::make_pair(sum_grad, sum_hess);
}
/**
* \brief Get the gradient with respect to a single feature. Row-wise multithreaded.
*
* \param group_idx Zero-based index of the group.
* \param num_group Number of groups.
* \param fidx The target feature.
* \param gpair Gradients.
* \param p_fmat The feature matrix.
*
* \return The gradient and diagonal Hessian entry for a given feature.
*/
inline std::pair<double, double> GetGradientParallel(int group_idx, int num_group, int fidx,
const std::vector<GradientPair> &gpair,
DMatrix *p_fmat) {
double sum_grad = 0.0, sum_hess = 0.0;
for (const auto &batch : p_fmat->GetColumnBatches()) {
auto col = batch[fidx];
const auto ndata = static_cast<bst_omp_uint>(col.size());
#pragma omp parallel for schedule(static) reduction(+ : sum_grad, sum_hess)
for (bst_omp_uint j = 0; j < ndata; ++j) {
const bst_float v = col[j].fvalue;
auto &p = gpair[col[j].index * num_group + group_idx];
if (p.GetHess() < 0.0f) continue;
sum_grad += p.GetGrad() * v;
sum_hess += p.GetHess() * v * v;
}
}
return std::make_pair(sum_grad, sum_hess);
}
/**
* \brief Get the gradient with respect to the bias. Row-wise multithreaded.
*
* \param group_idx Zero-based index of the group.
* \param num_group Number of groups.
* \param gpair Gradients.
* \param p_fmat The feature matrix.
*
* \return The gradient and diagonal Hessian entry for the bias.
*/
inline std::pair<double, double> GetBiasGradientParallel(int group_idx, int num_group,
const std::vector<GradientPair> &gpair,
DMatrix *p_fmat) {
double sum_grad = 0.0, sum_hess = 0.0;
const auto ndata = static_cast<bst_omp_uint>(p_fmat->Info().num_row_);
#pragma omp parallel for schedule(static) reduction(+ : sum_grad, sum_hess)
for (bst_omp_uint i = 0; i < ndata; ++i) {
auto &p = gpair[i * num_group + group_idx];
if (p.GetHess() >= 0.0f) {
sum_grad += p.GetGrad();
sum_hess += p.GetHess();
}
}
return std::make_pair(sum_grad, sum_hess);
}
/**
* \brief Updates the gradient vector with respect to a change in weight.
*
* \param fidx The feature index.
* \param group_idx Zero-based index of the group.
* \param num_group Number of groups.
* \param dw The change in weight.
* \param in_gpair The gradient vector to be updated.
* \param p_fmat The input feature matrix.
*/
inline void UpdateResidualParallel(int fidx, int group_idx, int num_group,
float dw, std::vector<GradientPair> *in_gpair,
DMatrix *p_fmat) {
if (dw == 0.0f) return;
for (const auto &batch : p_fmat->GetColumnBatches()) {
auto col = batch[fidx];
// update grad value
const auto num_row = static_cast<bst_omp_uint>(col.size());
#pragma omp parallel for schedule(static)
for (bst_omp_uint j = 0; j < num_row; ++j) {
GradientPair &p = (*in_gpair)[col[j].index * num_group + group_idx];
if (p.GetHess() < 0.0f) continue;
p += GradientPair(p.GetHess() * col[j].fvalue * dw, 0);
}
}
}
/**
* \brief Updates the gradient vector based on a change in the bias.
*
* \param group_idx Zero-based index of the group.
* \param num_group Number of groups.
* \param dbias The change in bias.
* \param in_gpair The gradient vector to be updated.
* \param p_fmat The input feature matrix.
*/
inline void UpdateBiasResidualParallel(int group_idx, int num_group, float dbias,
std::vector<GradientPair> *in_gpair,
DMatrix *p_fmat) {
if (dbias == 0.0f) return;
const auto ndata = static_cast<bst_omp_uint>(p_fmat->Info().num_row_);
#pragma omp parallel for schedule(static)
for (bst_omp_uint i = 0; i < ndata; ++i) {
GradientPair &g = (*in_gpair)[i * num_group + group_idx];
if (g.GetHess() < 0.0f) continue;
g += GradientPair(g.GetHess() * dbias, 0);
}
}
/**
* \brief Abstract class for stateful feature selection or ordering
* in coordinate descent algorithms.
*/
class FeatureSelector {
public:
/*! \brief factory method */
static FeatureSelector *Create(int choice);
/*! \brief virtual destructor */
virtual ~FeatureSelector() = default;
/**
* \brief Setting up the selector state prior to looping through features.
*
* \param model The model.
* \param gpair The gpair.
* \param p_fmat The feature matrix.
* \param alpha Regularisation alpha.
* \param lambda Regularisation lambda.
* \param param A parameter with algorithm-dependent use.
*/
virtual void Setup(const gbm::GBLinearModel &model,
const std::vector<GradientPair> &gpair,
DMatrix *p_fmat,
float alpha, float lambda, int param) {}
/**
* \brief Select next coordinate to update.
*
* \param iteration The iteration in a loop through features
* \param model The model.
* \param group_idx Zero-based index of the group.
* \param gpair The gpair.
* \param p_fmat The feature matrix.
* \param alpha Regularisation alpha.
* \param lambda Regularisation lambda.
*
* \return The index of the selected feature. -1 indicates none selected.
*/
virtual int NextFeature(int iteration,
const gbm::GBLinearModel &model,
int group_idx,
const std::vector<GradientPair> &gpair,
DMatrix *p_fmat, float alpha, float lambda) = 0;
};
/**
* \brief Deterministic selection by cycling through features one at a time.
*/
class CyclicFeatureSelector : public FeatureSelector {
public:
int NextFeature(int iteration, const gbm::GBLinearModel &model,
int group_idx, const std::vector<GradientPair> &gpair,
DMatrix *p_fmat, float alpha, float lambda) override {
return iteration % model.param.num_feature;
}
};
/**
* \brief Similar to Cyclic but with random feature shuffling prior to each update.
* \note Its randomness is controllable by setting a random seed.
*/
class ShuffleFeatureSelector : public FeatureSelector {
public:
void Setup(const gbm::GBLinearModel &model,
const std::vector<GradientPair> &gpair,
DMatrix *p_fmat, float alpha, float lambda, int param) override {
if (feat_index_.size() == 0) {
feat_index_.resize(model.param.num_feature);
std::iota(feat_index_.begin(), feat_index_.end(), 0);
}
std::shuffle(feat_index_.begin(), feat_index_.end(), common::GlobalRandom());
}
int NextFeature(int iteration, const gbm::GBLinearModel &model,
int group_idx, const std::vector<GradientPair> &gpair,
DMatrix *p_fmat, float alpha, float lambda) override {
return feat_index_[iteration % model.param.num_feature];
}
protected:
std::vector<bst_uint> feat_index_;
};
/**
* \brief A random (with replacement) coordinate selector.
* \note Its randomness is controllable by setting a random seed.
*/
class RandomFeatureSelector : public FeatureSelector {
public:
int NextFeature(int iteration, const gbm::GBLinearModel &model,
int group_idx, const std::vector<GradientPair> &gpair,
DMatrix *p_fmat, float alpha, float lambda) override {
return common::GlobalRandom()() % model.param.num_feature;
}
};
/**
* \brief Select coordinate with the greatest gradient magnitude.
* \note It has O(num_feature^2) complexity. It is fully deterministic.
*
* \note It allows restricting the selection to top_k features per group with
* the largest magnitude of univariate weight change, by passing the top_k value
* through the `param` argument of Setup(). That would reduce the complexity to
* O(num_feature*top_k).
*/
class GreedyFeatureSelector : public FeatureSelector {
public:
void Setup(const gbm::GBLinearModel &model,
const std::vector<GradientPair> &gpair,
DMatrix *p_fmat, float alpha, float lambda, int param) override {
top_k_ = static_cast<bst_uint>(param);
const bst_uint ngroup = model.param.num_output_group;
if (param <= 0) top_k_ = std::numeric_limits<bst_uint>::max();
if (counter_.size() == 0) {
counter_.resize(ngroup);
gpair_sums_.resize(model.param.num_feature * ngroup);
}
for (bst_uint gid = 0u; gid < ngroup; ++gid) {
counter_[gid] = 0u;
}
}
int NextFeature(int iteration, const gbm::GBLinearModel &model,
int group_idx, const std::vector<GradientPair> &gpair,
DMatrix *p_fmat, float alpha, float lambda) override {
// k-th selected feature for a group
auto k = counter_[group_idx]++;
// stop after either reaching top-K or going through all the features in a group
if (k >= top_k_ || counter_[group_idx] == model.param.num_feature) return -1;
const int ngroup = model.param.num_output_group;
const bst_omp_uint nfeat = model.param.num_feature;
// Calculate univariate gradient sums
std::fill(gpair_sums_.begin(), gpair_sums_.end(), std::make_pair(0., 0.));
for (const auto &batch : p_fmat->GetColumnBatches()) {
#pragma omp parallel for schedule(static)
for (bst_omp_uint i = 0; i < nfeat; ++i) {
const auto col = batch[i];
const bst_uint ndata = col.size();
auto &sums = gpair_sums_[group_idx * nfeat + i];
for (bst_uint j = 0u; j < ndata; ++j) {
const bst_float v = col[j].fvalue;
auto &p = gpair[col[j].index * ngroup + group_idx];
if (p.GetHess() < 0.f) continue;
sums.first += p.GetGrad() * v;
sums.second += p.GetHess() * v * v;
}
}
}
// Find a feature with the largest magnitude of weight change
int best_fidx = 0;
double best_weight_update = 0.0f;
for (bst_omp_uint fidx = 0; fidx < nfeat; ++fidx) {
auto &s = gpair_sums_[group_idx * nfeat + fidx];
float dw = std::abs(static_cast<bst_float>(
CoordinateDelta(s.first, s.second, model[fidx][group_idx], alpha, lambda)));
if (dw > best_weight_update) {
best_weight_update = dw;
best_fidx = fidx;
}
}
return best_fidx;
}
protected:
bst_uint top_k_;
std::vector<bst_uint> counter_;
std::vector<std::pair<double, double>> gpair_sums_;
};
/**
* \brief Thrifty, approximately-greedy feature selector.
*
* \note Prior to cyclic updates, reorders features in descending magnitude of
* their univariate weight changes. This operation is multithreaded and is a
* linear complexity approximation of the quadratic greedy selection.
*
* \note It allows restricting the selection to top_k features per group with
* the largest magnitude of univariate weight change, by passing the top_k value
* through the `param` argument of Setup().
*/
class ThriftyFeatureSelector : public FeatureSelector {
public:
void Setup(const gbm::GBLinearModel &model,
const std::vector<GradientPair> &gpair,
DMatrix *p_fmat, float alpha, float lambda, int param) override {
top_k_ = static_cast<bst_uint>(param);
if (param <= 0) top_k_ = std::numeric_limits<bst_uint>::max();
const bst_uint ngroup = model.param.num_output_group;
const bst_omp_uint nfeat = model.param.num_feature;
if (deltaw_.size() == 0) {
deltaw_.resize(nfeat * ngroup);
sorted_idx_.resize(nfeat * ngroup);
counter_.resize(ngroup);
gpair_sums_.resize(nfeat * ngroup);
}
// Calculate univariate gradient sums
std::fill(gpair_sums_.begin(), gpair_sums_.end(), std::make_pair(0., 0.));
for (const auto &batch : p_fmat->GetColumnBatches()) {
// column-parallel is usually faster than row-parallel
#pragma omp parallel for schedule(static)
for (bst_omp_uint i = 0; i < nfeat; ++i) {
const auto col = batch[i];
const bst_uint ndata = col.size();
for (bst_uint gid = 0u; gid < ngroup; ++gid) {
auto &sums = gpair_sums_[gid * nfeat + i];
for (bst_uint j = 0u; j < ndata; ++j) {
const bst_float v = col[j].fvalue;
auto &p = gpair[col[j].index * ngroup + gid];
if (p.GetHess() < 0.f) continue;
sums.first += p.GetGrad() * v;
sums.second += p.GetHess() * v * v;
}
}
}
}
// rank by descending weight magnitude within the groups
std::fill(deltaw_.begin(), deltaw_.end(), 0.f);
std::iota(sorted_idx_.begin(), sorted_idx_.end(), 0);
bst_float *pdeltaw = &deltaw_[0];
for (bst_uint gid = 0u; gid < ngroup; ++gid) {
// Calculate univariate weight changes
for (bst_omp_uint i = 0; i < nfeat; ++i) {
auto ii = gid * nfeat + i;
auto &s = gpair_sums_[ii];
deltaw_[ii] = static_cast<bst_float>(CoordinateDelta(
s.first, s.second, model[i][gid], alpha, lambda));
}
// sort in descending order of deltaw abs values
auto start = sorted_idx_.begin() + gid * nfeat;
std::sort(start, start + nfeat,
[pdeltaw](size_t i, size_t j) {
return std::abs(*(pdeltaw + i)) > std::abs(*(pdeltaw + j));
});
counter_[gid] = 0u;
}
}
int NextFeature(int iteration, const gbm::GBLinearModel &model,
int group_idx, const std::vector<GradientPair> &gpair,
DMatrix *p_fmat, float alpha, float lambda) override {
// k-th selected feature for a group
auto k = counter_[group_idx]++;
// stop after either reaching top-N or going through all the features in a group
if (k >= top_k_ || counter_[group_idx] == model.param.num_feature) return -1;
// note that sorted_idx stores the "long" indices
const size_t grp_offset = group_idx * model.param.num_feature;
return static_cast<int>(sorted_idx_[grp_offset + k] - grp_offset);
}
protected:
bst_uint top_k_;
std::vector<bst_float> deltaw_;
std::vector<size_t> sorted_idx_;
std::vector<bst_uint> counter_;
std::vector<std::pair<double, double>> gpair_sums_;
};
inline FeatureSelector *FeatureSelector::Create(int choice) {
switch (choice) {
case kCyclic:
return new CyclicFeatureSelector();
case kShuffle:
return new ShuffleFeatureSelector();
case kThrifty:
return new ThriftyFeatureSelector();
case kGreedy:
return new GreedyFeatureSelector();
case kRandom:
return new RandomFeatureSelector();
default:
LOG(FATAL) << "unknown coordinate selector: " << choice;
}
return nullptr;
}
} // namespace linear
} // namespace xgboost
|
tsmttsm_plain_kernel_tmpl.h | #include <complex>
template<typename T, int CFGK, int CFGM, int UNROLL>
static ghost_error ghost_tsmttsm__a_plain_cm_rm_tmpl(ghost_densemat *x, ghost_densemat *v, ghost_densemat *w, T *alpha, T *beta, int conjv)
{
GHOST_FUNC_ENTER(GHOST_FUNCTYPE_MATH)
ghost_error ret = GHOST_SUCCESS;
int myrank=0;
ghost_lidx n = v->traits.nrows;
ghost_lidx i,j,k;
ghost_lidx ldv, ldw, ldx;
T * vval = (T *)v->val, * wval = (T *)w->val, * xval = (T *)x->val;
T mybeta = *beta;
if (v->context) {
GHOST_CALL_GOTO(ghost_rank(&myrank,v->context->mpicomm),err,ret);
}
ldv = v->stride;
ldw = w->stride;
ldx = x->stride;
// make sure that the initial x only gets added up once
if (myrank) {
mybeta = 0.;
}
#pragma simd
for (k=0; k<CFGK; k++) {
for (j=0; j<CFGM; j++) {
xval[k*ldx+j] = mybeta*xval[k*ldx+j];
}
}
#pragma omp parallel private(j,k)
{
T *x_priv;
ghost_malloc((void **)&x_priv,CFGM*CFGK*sizeof(T));
memset(x_priv,0,CFGM*CFGK*sizeof(T));
if (conjv) {
#pragma omp for schedule(runtime)
for (i=0; i<n; i++) {
#pragma simd
#pragma vector aligned
#pragma ivdep
for (k=0; k<CFGK; k++) {
#pragma unroll_and_jam
for (j=0; j<CFGM; j++) {
x_priv[j*CFGK+k] += (*alpha)*std::conj(vval[i*ldv+j])*wval[i*ldw+k];
}
}
}
} else {
#pragma omp for schedule(runtime)
for (i=0; i<n; i++) {
#pragma simd
#pragma vector aligned
#pragma ivdep
for (k=0; k<CFGK; k++) {
#pragma unroll_and_jam
for (j=0; j<CFGM; j++) {
x_priv[j*CFGK+k] += (*alpha)*vval[i*ldv+j]*wval[i*ldw+k];
}
}
}
}
#pragma omp critical
#pragma simd
#pragma vector aligned
#pragma ivdep
for (k=0; k<CFGK; k++) {
#pragma unroll_and_jam
for (j=0; j<CFGM; j++) {
xval[k*ldx+j] += x_priv[j*CFGK+k];
}
}
free(x_priv);
}
goto out;
err:
out:
GHOST_FUNC_EXIT(GHOST_FUNCTYPE_MATH)
return ret;
}
|
rose_accumulateForce.c | #include <omp.h>
void AccumulateForce(int *idxBound,int *idxList,int len,double *tmp,double *force)
{
#pragma omp parallel for private (jj) firstprivate (len)
for (register int ii = 0; ii <= len - 1; ii += 1) {
int count = idxBound[ii + 1] - idxBound[ii];
int *list = &idxList[idxBound[ii]];
double sum = 0.0;
#pragma omp parallel for reduction (+:sum) firstprivate (count)
for (register int jj = 0; jj <= count - 1; jj += 1) {
int idx = list[jj];
sum += tmp[list[jj]];
}
force[ii] += sum;
}
return ;
}
|
trap_omp2.c | #include <stdio.h>
#include <stdlib.h>
int main(int argc, char **argv) {
double integral_thread[4] = {0};
int N = atoi( argv[1] );
double dx = 2./(N-1);
double integral = 0.0;
const double pi = 3.141592653589793;
double x, f;
#pragma omp parallel for private(x,f)
for (int i=0;i<N;++i) {
x = -1. + dx*i;
// compute x_i
f = 1. / (1. + x*x);
// compute f_i = f(x_i)
int id = omp_get_thread_num();
printf("thread %i, x =%f, f=%f\n",omp_get_thread_num(),x,f);
integral_thread[id] += dx*f;
}
for(int i=0; i< 4; i++) {
integral = integral + integral_thread[i];
}
// end points of trapezoidal rule treated specially
x = -1.0;
f = 1. / (1. + x*x);
// compute f_i = f(x_i)
integral -= 0.5*dx*f;
x = 1.0;
f = 1. / (1. + x*x);
// compute f_i = f(x_i)
integral -= 0.5*dx*f;
//printf("integral = %f , error = %e\n",integral, integral - pi / 2.);
printf("%i %f %e\n",N, integral, integral - pi / 2.);
return 0;
}
|
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